BACKGROUND Ileum adenocarcinoma(IA),a type of small bowel adenocarcinoma,is a rather uncommon factor associated with obstruction in small bowel.Owing to its location and indefinite clinical symptoms,the diagnosis of I...BACKGROUND Ileum adenocarcinoma(IA),a type of small bowel adenocarcinoma,is a rather uncommon factor associated with obstruction in small bowel.Owing to its location and indefinite clinical symptoms,the diagnosis of IA is difficult,and survival is usually poor.With respect to the rarity of this disease,very few studies have reported such cases to provide a reference for treatment.CASE SUMMARY In this manuscript,a case of a 48-year-old man presented with chronic right lower abdominal pain and distention,queasiness and emesis.A computed tomography scan revealed intestinal wall thickening and an intestinal obstruction in the terminal ileum.He was diagnosed with inflammatory bowel disease.However,his symptoms were not relieved after conservative treatment.The patient sub-sequently underwent exploratory laparotomy,and a tumour in the ileum measuring approximately 2.0 cm×2.0 cm that was located 20 cm from the ileocolic valve was discovered incidentally and was operatively resected along with the enlarged lymph nodes.Pathological examination revealed a stage IIA(T3N0M0)ulcerative IA.Along with imaging examinations,a diagnosis of primary IA with no lymph or distant metastases was considered.The patient was discharged and recovered well as of the writing of this manuscript.CONCLUSION IA should be considered as a differential diagnosis in cases of intestinal obstruction,and the recommended method for local disease treatment is surgery.展开更多
BACKGROUND Cerebrospinal fluid(CSF)leaks in the temporal bone arise from osteodural defects,resulting in an abnormal connection between the subarachnoid space and the adjacent tympanomastoid cavity,which often manifes...BACKGROUND Cerebrospinal fluid(CSF)leaks in the temporal bone arise from osteodural defects,resulting in an abnormal connection between the subarachnoid space and the adjacent tympanomastoid cavity,which often manifests as otorrhea.Patients typically exhibit symptoms such as headache,unilateral hearing impairment,aural fullness,or even meningitis.Imaging studies are critical for identifying and differentiating the location and characteristics of CSF leaks.However,when the leak's origin remains ambiguous,diagnostic surgery may be warranted to both confirm the diagnosis and facilitate treatment.This report discusses an uncommon case while reviewing relevant literature,focusing on the surgical diagnostic intervention in a 58-year-old male with spontaneous temporal bone CSF leaks.CASE SUMMARY The patient,a 58-year-old man,was admitted for evaluation of left ear fullness,hearing loss,and nasal discharge.Notably,when supine,clear fluid drained from the left nasal cavity,with improvement noted upon sitting.A nasal examination did not reveal significant findings,while the otologic evaluation indicated an intact periosteum;however,considerable fluid accumulation was identified within the left middle ear.Despite undergoing multiple periosteal punctures and conservative medical management,the middle ear effusion persisted.Imaging studies,including magnetic resonance imaging(MRI)and computed tomography,confirmed the presence of left-sided CSF otorrhea,and the head MRI indicated potential CSF rhinorrhea.This raised challenges in determining whether the CSF leak originated from the sphenoid sinus or the temporal bone.Given that CSF otorrhea may drain through the external auditory canal and CSF rhinorrhea from the sellar region can present as nasal leakage,differentiation proved complex.In this case,with an intact external auditory canal,CSF from the middle ear was observed to flow into the nasal cavity via the Eustachian tube.Therefore,leakage from both sites could be misconstrued as CSF rhinorrhea,complicating the diagnostic process.Consequently,an exploratory surgical procedure was performed,revealing an incomplete dura mater on the temporal aspect of the petrous bone,which was subsequently repaired.CONCLUSION Benign intracranial hypertension can result in meningeal protrusion or meningoencephalocele,which may lead to CSF leakage that generally responds favorably to mucosal repair.In instances where imaging fails to identify the source of the leak or when diagnostic options are limited,proactive exploratory surgery is advisable.Although surgical interventions carry inherent risks,the application of endoscopic techniques by experienced surgeons renders this approach a feasible choice for addressing both diagnostic and therapeutic challenges.展开更多
BACKGROUND Atrial fibrillation(AF)represents a common arrhythmia with significant implications and may occur pre-,intra-,or postoperatively(POAF).After cardiac surgery POAF occurs in approximately 30% of patients,whil...BACKGROUND Atrial fibrillation(AF)represents a common arrhythmia with significant implications and may occur pre-,intra-,or postoperatively(POAF).After cardiac surgery POAF occurs in approximately 30% of patients,while non-cardiac/nonthoracic surgery has a reported incidence between 0.4% to 15%,with new onset POAF occurring at a rate of 0.4% to 3%.While AF has been extensively studied,it has not been well described in emergent non-cardiac surgery associated with increased surgical stress in an intensive care unit setting(ICU).AIM To investigate the incidence/predictors of POAF in emergent non-cardiac surgery and its associations with postoperative outcomes in the ICU.METHODS This retrospective study included patients≥18 years who underwent exploratory laparotomy or lower extremity amputation between October 2012 and September 2023 and were admitted in the ICU.Data of interest included occurrence of POAF,demographic characteristics,comorbidities,laboratory values,administered fluids,medications,and postoperative outcomes.Statistical analyses consisted of identifying predic-tors of POAF and associations of POAF with outcomes of interest.RESULTS A total of 347 ICU patients were included,16.4% had a history of AF,13.0% developed POAF,and 7.9%developed new-onset POAF.Patients with new-onset POAF were older(79.6±9.1 vs 68.1±14.8 years,<0.001),of white race(47.8%vs 28.8,P<0.001),hypertensive(87.0%vs 71.2%,P=0.011),had longer ICU length of stay(ICU-LOS)(13.4 vs 6.7 days,P=0.042),higher mortality(43.5%vs 17.6%,P=0.016)and higher rate of cardiac arrest(34.8%vs 14.6%,P=0.005)compared to patients without new-onset POAF.Multivariable analysis revealed increased POAF risk with advanced age(OR=1.06;95%CI:1.02-1.10,P=0.005),white race(OR=2.85;95%CI:1.26-6.76,P=0.014),high intraoperative fluid(OR>1;95%CI:1.00-1.00,P=0.018),and longer ICU-LOS(OR=1.04;95%CI:1.00-1.08,P=0.023).After adjusting for demographics,new onset POAF significantly predicted mortality(OR=3.07;95%CI:1.14-8.01,P=0.022).CONCLUSION POAF was associated with prolonged ICU-LOS,white race,and high intraoperative fluid.New-onset POAF was associated with increased risk of cardiac arrest and death in critically ill patients.展开更多
BACKGROUND Esophageal cancer(EC),primarily esophageal squamous cell carcinoma in China,has a poor prognosis with a 5-year survival rate of approximately 25%after surgery alone.Neoadjuvant chemoradiotherapy combined wi...BACKGROUND Esophageal cancer(EC),primarily esophageal squamous cell carcinoma in China,has a poor prognosis with a 5-year survival rate of approximately 25%after surgery alone.Neoadjuvant chemoradiotherapy combined with surgery is the standard treatment for locally advanced EC,with a 47%5-year survival rate,although adverse events are common.Immunotherapy,particularly PD-1 inhibitors,has shown promise in treating advanced EC,and neoadjuvant chemotherapy with immunotherapy is effective.However,the efficacy of postoperative immunotherapy remains unclear,with studies like Checkmate577 showing promising results but limited applicability to surgery-only patients,highlighting the need for further research.AIM To evaluate the efficacy,prognostic factors,and safety of adjuvant immunotherapy with anti-PD-1 inhibitors following radical surgery for EC.METHODS A retrospective analysis was conducted on EC patients who received adjuvant immunotherapy after radical treatment at the 900th Hospital of the China Joint Logistics Force between January 2018 and October 2024.Demographic,treatment and laboratory data were collected.Progression-free survival(PFS)was assessed using the Kaplan-Meier method,and independent prognostic factors were identified using Cox regression.Optimal cutoff values for continuous variables,including body mass index(BMI)difference and neutrophil-to-lymphocyte ratio(NLR),were determined using the maxstat package in R.RESULTS A total of 44 patients were included,with a 2-year PFS rate of 68.6%[95%confidence interval(CI):53%-88.7%].Univariate analysis identified several factors significantly associated with prognosis,including the interval between surgery and immunotherapy,BMI difference between before surgery and first immunotherapy,presurgical lymphocyte count,and presurgical NLR.Multivariable Cox regression revealed that a BMI difference<3.86 was an independent protective factor for PFS(hazard ratio:0.42,95%CI:0.21-0.85,P<0.05).At the last followup,the median PFS for patients with BMI<3.86 had not been reached,compared to 8.83 months for those with BMI>3.86.The 1-year PFS for patients receiving postoperative chemotherapy combined with immunotherapy was 88.5%,suggesting superior efficacy over chemotherapy alone.CONCLUSION Adjuvant immunotherapy for EC shows good efficacy and safety.A BMI difference<3.86 is a protective factor for PFS,highlighting the importance of monitoring nutrition and inflammation for personalized treatment.展开更多
Improving early diagnosis of autism spectrum disorder(ASD)in children increasingly relies on predictive models that are reliable and accessible to non-experts.This study aims to develop such models using Python-based ...Improving early diagnosis of autism spectrum disorder(ASD)in children increasingly relies on predictive models that are reliable and accessible to non-experts.This study aims to develop such models using Python-based tools to improve ASD diagnosis in clinical settings.We performed exploratory data analysis to ensure data quality and identify key patterns in pediatric ASD data.We selected the categorical boosting(CatBoost)algorithm to effectively handle the large number of categorical variables.We used the PyCaret automated machine learning(AutoML)tool to make the models user-friendly for clinicians without extensive machine learning expertise.In addition,we applied Shapley additive explanations(SHAP),an explainable artificial intelligence(XAI)technique,to improve the interpretability of the models.Models developed using CatBoost and other AI algorithms showed high accuracy in diagnosing ASD in children.SHAP provided clear insights into the influence of each variable on diagnostic outcomes,making model decisions transparent and understandable to healthcare professionals.By integrating robust machine learning methods with user-friendly tools such as PyCaret and leveraging XAI techniques such as SHAP,this study contributes to the development of reliable,interpretable,and accessible diagnostic tools for ASD.These advances hold great promise for supporting informed decision-making in clinical settings,ultimately improving early identification and intervention strategies for ASD in the pediatric population.However,the study is limited by the dataset’s demographic imbalance and the lack of external clinical validation,which should be addressed in future research.展开更多
The analysis of Android malware shows that this threat is constantly increasing and is a real threat to mobile devices since traditional approaches,such as signature-based detection,are no longer effective due to the ...The analysis of Android malware shows that this threat is constantly increasing and is a real threat to mobile devices since traditional approaches,such as signature-based detection,are no longer effective due to the continuously advancing level of sophistication.To resolve this problem,efficient and flexible malware detection tools are needed.This work examines the possibility of employing deep CNNs to detect Android malware by transforming network traffic into image data representations.Moreover,the dataset used in this study is the CIC-AndMal2017,which contains 20,000 instances of network traffic across five distinct malware categories:a.Trojan,b.Adware,c.Ransomware,d.Spyware,e.Worm.These network traffic features are then converted to image formats for deep learning,which is applied in a CNN framework,including the VGG16 pre-trained model.In addition,our approach yielded high performance,yielding an accuracy of 0.92,accuracy of 99.1%,precision of 98.2%,recall of 99.5%,and F1 score of 98.7%.Subsequent improvements to the classification model through changes within the VGG19 framework improved the classification rate to 99.25%.Through the results obtained,it is clear that CNNs are a very effective way to classify Android malware,providing greater accuracy than conventional techniques.The success of this approach also shows the applicability of deep learning in mobile security along with the direction for the future advancement of the real-time detection system and other deeper learning techniques to counter the increasing number of threats emerging in the future.展开更多
The Yellow River Basin of China is a key region that contains myriad interactions between human activities and natural environment.Industrialization and urbanization promote social-economic development,but they also h...The Yellow River Basin of China is a key region that contains myriad interactions between human activities and natural environment.Industrialization and urbanization promote social-economic development,but they also have generated a series of environmental and ecological issues in this basin.Previous researches have evaluated urban resilience at the national,regional,urban agglomeration,city,and prefecture levels,but not at the watershed level.To address this research gap and elevate the Yellow River Basin’s urban resilience level,we constructed an urban resilience evaluation index system from five dimensions:industrial resilience,social resilience,environmental resilience,technological resilience,and organizational resilience.The entropy weight method was used to comprehensively evaluate urban resilience in the Yellow River Basin.The exploratory spatial data analysis method was employed to study the spatiotemporal differences in urban resilience in the Yellow River Basin in 2010,2015,and 2020.Furthermore,the grey correlation analysis method was utilized to explore the influencing factors of these differences.The results of this study are as follows:(1)the overall level of urban resilience in the Yellow River Basin was relatively low but showed an increasing trend during 2010–2015,and significant spatial distribution differences were observed,with a higher resilience level in the eastern region and a low-medium resilience level in the western region;(2)the differences in urban resilience were noticeable,with industrial resilience and social resilience being relatively highly developed,whereas organizational resilience and environmental resilience were relatively weak;and(3)the correlation ranking of resilience influencing factors was as follows:science and technology level>administrative power>openness>market forces.This research can provide a basis for improving the resilience level of cities in the Yellow River Basin and contribute to the high-quality development of the region.展开更多
The public health workforce is a key component of public health system.To articulate the scope of public health workforce,we reviewed the relevant World Health Organization(wHO)guidance and peer-reviewed journal artic...The public health workforce is a key component of public health system.To articulate the scope of public health workforce,we reviewed the relevant World Health Organization(wHO)guidance and peer-reviewed journal articles on this subject.Specifically,we assessed and compared the relevant publications produced by WHO Headquarters and Regional Offices along with other literature on this issue.Our focus was on the“occupation,workplace setting,and employer of public health workforce”.It is noteworthy that WHO has adopted a conceptual framework with an inclusive scope of the public health workforce,while setting out a 5-year vision to strengthen capacity across all WHO Member States for a multidisciplinary workforce to deliver the essential public health functions,including emergency preparedness and response.The importance of public health workforce in global and national responses to the coronavirus disease 2019(COVID-19)pandemic is recognized.We also observed that there were diverse understandings of the scope of public health workforce worldwide,including macro-,meso-and micro-level perspectives.In the post-COVID-19 era,we suggest that policy-makers and practitioners at the national,regional and global level adopt a coordinated approach to expand and strengthen the national workforce as guided by the WHO towards the health-related targets of United Nations Sustainable Development Goals such as health security and Universal Health Coverage.展开更多
The relationship between climate and labor flexibility has been distinguished as an antecedent of performance.In this sense,the objective of this work was to explore the factorial structure of the organizational binom...The relationship between climate and labor flexibility has been distinguished as an antecedent of performance.In this sense,the objective of this work was to explore the factorial structure of the organizational binomial.A cross-sectional,psychometric,and correlational study was carried out with a sample of 100 employees from organizations in central Mexico.Respondents were selected based on their affiliation with the local chamber of commerce.The results show the prevalence of six factors related to the leadership climate,compensation,structure,logistics,contingencies,and risks.The total explained variance reached 71%,although the correlation analysis and the factorial structure indicate the inclusion of another factor that the literature identifies as entrepreneurial and innovative flexibility.展开更多
The paper presents a case study on listening-speaking class instruction models based on exploratory practice. Assuming the dual roles of a teacher and a researcher, the writer of this paper has implemented three model...The paper presents a case study on listening-speaking class instruction models based on exploratory practice. Assuming the dual roles of a teacher and a researcher, the writer of this paper has implemented three models of classroom instructions for the Viewing, Listening ＆ Speaking Class. From the students＇ report, teacher＇s log and classroom observation, it is concluded that the three models meet the needs of different students. The key to a successful Viewing, Listening＆ Speaking Class is to set reasonable goals and analyze students＇ needs.展开更多
Adequate preliminary research is a prerequisite for ensuring the quality of randomized controlled trials(RCTs)on acupuncture.This paper proposes that prior to conducting a new RCT of acupuncture,an evidence-based rese...Adequate preliminary research is a prerequisite for ensuring the quality of randomized controlled trials(RCTs)on acupuncture.This paper proposes that prior to conducting a new RCT of acupuncture,an evidence-based research(EBR)approach and exploratory studies should be adopted to ensure value and avoid waste of research.EBR,defined as using systematic reviews of relevant clinical studies and obtain the perspectives of end users in a systematic and transparent way to justify research questions and inform trial design,is recommended as the first step before embarking on an acupuncture RCT to ensure its value and rationality.The subsequent exploratory studies can aid researchers in pre-evaluating the effect of acupuncture treatment protocols,identifying key factors that influence the outcome,and test trial feasibility for protocol optimization.This article elucidates the significance and implementation of the EBR approach and exploratory studies,with the aim of providing practical methods to enhance the quality of acupuncture RCTs。展开更多
In 2007,China surpassed the USA to become the largest carbon emitter in the world.China has promised a 60%–65%reduction in carbon emissions per unit GDP by 2030,compared to the baseline of 2005.Therefore,it is import...In 2007,China surpassed the USA to become the largest carbon emitter in the world.China has promised a 60%–65%reduction in carbon emissions per unit GDP by 2030,compared to the baseline of 2005.Therefore,it is important to obtain accurate dynamic information on the spatial and temporal patterns of carbon emissions and carbon footprints to support formulating effective national carbon emission reduction policies.This study attempts to build a carbon emission panel data model that simulates carbon emissions in China from 2000–2013 using nighttime lighting data and carbon emission statistics data.By applying the Exploratory Spatial-Temporal Data Analysis(ESTDA)framework,this study conducted an analysis on the spatial patterns and dynamic spatial-temporal interactions of carbon footprints from 2001–2013.The improved Tapio decoupling model was adopted to investigate the levels of coupling or decoupling between the carbon emission load and economic growth in 336 prefecture-level units.The results show that,firstly,high accuracy was achieved by the model in simulating carbon emissions.Secondly,the total carbon footprints and carbon deficits across China increased with average annual growth rates of 4.82%and 5.72%,respectively.The overall carbon footprints and carbon deficits were larger in the North than that in the South.There were extremely significant spatial autocorrelation features in the carbon footprints of prefecture-level units.Thirdly,the relative lengths of the Local Indicators of Spatial Association(LISA)time paths were longer in the North than that in the South,and they increased from the coastal to the central and western regions.Lastly,the overall decoupling index was mainly a weak decoupling type,but the number of cities with this weak decoupling continued to decrease.The unsustainable development trend of China’s economic growth and carbon emission load will continue for some time.展开更多
Clustering is used to gain an intuition of the struc tures in the data.Most of the current clustering algorithms pro duce a clustering structure even on data that do not possess such structure.In these cases,the algor...Clustering is used to gain an intuition of the struc tures in the data.Most of the current clustering algorithms pro duce a clustering structure even on data that do not possess such structure.In these cases,the algorithms force a structure in the data instead of discovering one.To avoid false structures in the relations of data,a novel clusterability assessment method called density-based clusterability measure is proposed in this paper.I measures the prominence of clustering structure in the data to evaluate whether a cluster analysis could produce a meaningfu insight to the relationships in the data.This is especially useful in time-series data since visualizing the structure in time-series data is hard.The performance of the clusterability measure is evalu ated against several synthetic data sets and time-series data sets which illustrate that the density-based clusterability measure can successfully indicate clustering structure of time-series data.展开更多
Rural development inequality is an important practical issue during the course of full establishment of a ′moderately well-off society′ in modern China,and the objective understanding and evaluation of the status an...Rural development inequality is an important practical issue during the course of full establishment of a ′moderately well-off society′ in modern China,and the objective understanding and evaluation of the status and regional inequality of rural development can provide scientific basis for ′building a new countryside′ and coordination development of rural-urban regions.Based on the county-level data of 2000,2005 and 2009,this paper examines the rural development inequality of Jilin Province in Northeast China by establishing a rural development index.The spatio-temporal dynamic patterns and domain factors are discussed by using the method of exploratory spatial data analysis and multi-regression model.The results are shown as follows.Firstly,most of the counties were in lower development level,which accounted for 58.3%,62.5% and 66.7% of the total counties in 2000,2005 and 2009,respectively.The characteristics of spatial inequality were very obvious at county level.For example,rural development level of Changchun Proper and the proper of seven prefecture-level cities were much higher than that of the surrounding regions.The counties in the eastern and northern Jilin Province were the lowest regions of rural development level,while the middle counties were the rapid growth areas in rural economy.Secondly,Moran′s I of rural development index(RDI) was 0.01,–0.16 and –0.06 in 2000,2005 and 2009,respectively,which indicated that spatial agglomeration of RDI was not obvious in Jilin Province,and took on the characteristic of random distribution.The counties of both the units and its adjacent units have higher development level(HH) were transferred from the western areas to the eastern areas,while the countries of both the units and its adjacent units have lower development level(LL) were diffused from the eastern to middle and western Jilin Province.Finally,the result of multi-regression analysis showed that the improvement of agricultural production condition,development of agricultural economics and the adjustment of industrial structure were the domain factors affecting rural development inequality of Jilin Province in the later ten years.展开更多
This paper principally focuses on the morphological differences,spatial pattern and regional types of rural settlements in Xuzhou City of Jiangsu Province in China.Using satellite images of Xuzhou City taken in 2007 a...This paper principally focuses on the morphological differences,spatial pattern and regional types of rural settlements in Xuzhou City of Jiangsu Province in China.Using satellite images of Xuzhou City taken in 2007 and 2008 and models of exploratory spatial data analysis(ESDA) and spatial metrics,the paper conducts a quantitative analysis of the morphological pattern of rural settlements,and finds significant characteristics.First,rural settlements in Xuzhou City are significantly agglomerated in terms of their spatial distribution;meanwhile,there is significant variation in the geographical density distribution.Second,the scale of rural settlements in Xuzhou City is larger than the average in Jiangsu Province,and the histogram of the scale data is more even and more like a gamma distribution.There are a significant high-value cluster in the scale distribution,and local negative correlation between the scale and density distribution of rural settlements in Xuzhou City.Third,the morphology of rural settlements in Xuzhou City shows relative regularity with good connection and integrity,but the spatial variation of the morphology is anisotropic.Finally,according to the characteristics of density,scale,and form of rural settlements,the rural settlements of Xuzhou City are divided into three types:A high-density and point-scattered type,a low-density and cluster-like type and a mass-like and sparse type.The research findings could be used as the scientific foundation for rural planning and community rebuilding,particularly in less-developed areas.展开更多
With the increasing effects of global climate change and fishing activities,the spatial distribution of the neon flying squid(Ommastrephes bartramii) is changing in the traditional fishing ground of 150°-160°...With the increasing effects of global climate change and fishing activities,the spatial distribution of the neon flying squid(Ommastrephes bartramii) is changing in the traditional fishing ground of 150°-160°E and 38°-45°N in the northwest Pacific Ocean.This research aims to identify the spatial hot and cold spots(i.e.spatial clusters) of O.bartramii to reveal its spatial structure using commercial fishery data from2007 to 2010 collected by Chinese mainland squid-j igging fleets.A relatively strongly-clustered distribution for O.bartramii was observed using an exploratory spatial data analysis(ESDA) method.The results show two hot spots and one cold spot in 2007 while only one hot and one cold spots were identified each year from2008 to 2010.The hot and cold spots in 2007 occupied 8.2%and 5.6%of the study area,respectively;these percentages for hot and cold spot areas were 5.8%and 3.1%in 2008,10.2%and 2.9%in 2009,and 16.4%and 11.9%in 2010,respectively.Nearly half(>45%) of the squid from 2007 to 2009 reported by Chinese fleets were caught in hot spot areas while this percentage reached its peak at 68.8%in 2010,indicating that the hot spot areas are central fishing grounds.A further change analysis shows the area centered at156°E/43.5°N was persistent as a hot spot over the whole period from 2007 to 2010.Furthermore,the hot spots were mainly identified in areas with sea surface temperature(SST) in the range of 15-20℃ around warm Kuroshio Currents as well as with the chlorophyll-a(chl-a) concentration above 0.3 mg/m^3.The outcome of this research improves our understanding of spatiotemporal hotspots and its variation for O.bartramii and is useful for sustainable exploitation,assessment,and management of this squid.展开更多
According to the connotation and structure of science and technology resources and some relevant data of more than 286 cities at prefecture level and above during 2001-2010, using modified method--Data Envelopment Ana...According to the connotation and structure of science and technology resources and some relevant data of more than 286 cities at prefecture level and above during 2001-2010, using modified method--Data Envelopment Analysis （DEA）, science and tech- nology （S＆T） resource allocation efficiency of different cities in different periods has been figured out, which, uncovers the distributional difference and change law of S＆T resource allocation efficiency from the time-space dimension. Based on that, this paper has analyzed and discussed the spatial distribution pattern and evolution trend of S＆T resource allocation efficiency in different cities by virtue of the Exploratory Spatial Data Analysis （ESDA）. It turned out that： （1） the average of S＆T resource allocation efficiency in cities at prefecture level and above has always stayed at low levels, moreover, with repeated fluctuations between high and low, which shows a decreasing trend year by year. Besides, the gap between the East and the West is widening. （2） The asymmetrical distribution of S＆T resource allocation effi- ciency presents a spatial pattern of successively decreasing from Eastern China, Central China to Western China. The cities whose S＆T resource allocation efficiency are at higher level and high level take on a cluster distribution, which fits well with the 23 forming urban agglomerations in China. （3） The coupling degree between S＆T resource allocation efficiency and economic environment assumes a certain positive correlation, but not completely the same. The differentiation of S＆T resource allocation efficiency is common in regional devel- opment, whose existence and evolution are directly or indirectly influenced by and regarded as the reflection of many elements, such as geographical location, the natural endowment and environment of S＆T resources and so on. （4） In the perspective of the evolution of spatial structure, S＆T resource allocation efficiency of the cities at prefecture level and above shows a notable spatial autocorrelation, which in every period presents a positive correlation. The spatial distribution of S＆T resource allocation efficiency in neighboring cities seems to be similar in group, which tends to escalate stepwise. Meanwhile, the whole differentiation of geographical space has a diminishing tendency. （5） Viewed from LISA agglomeration map of S＆T resource allocation efficiency in different periods, four agglomeration types have changed differently in spatial location and the range of spatial agglomeration. And the conti- nuity of S＆T resource allocation efficiency in geographical space is gradually increasing.展开更多
An intriguing question in behavioral biology is whether consistent individual differences （calledanimal personalities） relate to variation in cognitive performance because commonly measuredpersonality traits may be ...An intriguing question in behavioral biology is whether consistent individual differences （calledanimal personalities） relate to variation in cognitive performance because commonly measuredpersonality traits may be associated with risk-reward trade-offs. Social insects, whose learningabilities have been extensively characterized, show consistent behavioral variability, both at colonyand at individual level. We investigated the possible link between personality traits and learningperformance in the carpenter ant Camponotus aethiops. Exploratory activity, sociability, and ag-gression were assessed twice in ant foragers. Behaviors differed among individuals, they werepartly repeatable across time and exploratory activity correlated positively with aggression.Learning abilities were quantified by differential conditioning of the maxilla-labium extension re-sponse, a task that requires cue perception and information storage. We found that exploratory ac-tivity of individual ants significantly predicted learning performance： ＂active-explorers＂ wereslower in learning the task than ＂inactive-explorers＂. The results suggest for the first time a link be-tween a personality trait and cognitive performance in eusocial insects, and that the underlying in-dividual variability could affect colony performance and success.展开更多
Influenced by globalization,rural transition in developed Western countries has experienced processes of productivism,post-productivism,and multifunctional development.By contrast,rural transition in most developing c...Influenced by globalization,rural transition in developed Western countries has experienced processes of productivism,post-productivism,and multifunctional development.By contrast,rural transition in most developing countries has been accompanied by rapid urbanization,which has become a core topic in geography research.As the world’s largest developing country,China has undergone profound development since the reform and opening-up.Moreover,rural spaces in some eastern coastal areas have entered the stage of reconstruction after decades of industrialization and urbanization.This paper takes Suzhou as the case area and measures the process of rural transition from 1990 to 2015 by constructing an index system.It then analyzes the characteristics of space-time evolution using exploratory spatial data analysis(ESDA)methods to reveal the influence of economic and social development on rural transition.The results show that rural transition,which generally entails the weakening of rurality and enhancing of urbanity on a macro scale,tends to be heterogeneous across different regions on a micro scale.This paper argues that multifunctionality will be the main future trend of rural transition in rapidly urbanizing areas.The experience in Suzhou could provide an example for establishing policies on sustainable development in rural spaces and achieving urban-rural co-governance.展开更多
Some attributes are uncertain for evaluation work because of incomplete or limited information and knowledge.It leads to uncertainty in evaluation results.To that end,an evaluation method,uncertainty entropy-based exp...Some attributes are uncertain for evaluation work because of incomplete or limited information and knowledge.It leads to uncertainty in evaluation results.To that end,an evaluation method,uncertainty entropy-based exploratory evaluation(UEEE),is proposed to guide the evaluation activities,which can iteratively and gradually reduce uncertainty in evaluation results.Uncertainty entropy(UE)is proposed to measure the extent of uncertainty.First,the belief degree distributions are assumed to characterize the uncertainty in attributes.Then the belief degree distribution of the evaluation result can be calculated by using uncertainty theory.The obtained result is then checked based on UE to see if it could meet the requirements of decision-making.If its uncertainty level is high,more information needs to be introduced to reduce uncertainty.An algorithm based on the UE is proposed to find which attribute can mostly affect the uncertainty in results.Thus,efforts can be invested in key attribute(s),and the evaluation results can be updated accordingly.This update should be repeated until the evaluation result meets the requirements.Finally,as a case study,the effectiveness of ballistic missiles with uncertain attributes is evaluated by UEEE.The evaluation results show that the target is believed to be destroyed.展开更多
文摘BACKGROUND Ileum adenocarcinoma(IA),a type of small bowel adenocarcinoma,is a rather uncommon factor associated with obstruction in small bowel.Owing to its location and indefinite clinical symptoms,the diagnosis of IA is difficult,and survival is usually poor.With respect to the rarity of this disease,very few studies have reported such cases to provide a reference for treatment.CASE SUMMARY In this manuscript,a case of a 48-year-old man presented with chronic right lower abdominal pain and distention,queasiness and emesis.A computed tomography scan revealed intestinal wall thickening and an intestinal obstruction in the terminal ileum.He was diagnosed with inflammatory bowel disease.However,his symptoms were not relieved after conservative treatment.The patient sub-sequently underwent exploratory laparotomy,and a tumour in the ileum measuring approximately 2.0 cm×2.0 cm that was located 20 cm from the ileocolic valve was discovered incidentally and was operatively resected along with the enlarged lymph nodes.Pathological examination revealed a stage IIA(T3N0M0)ulcerative IA.Along with imaging examinations,a diagnosis of primary IA with no lymph or distant metastases was considered.The patient was discharged and recovered well as of the writing of this manuscript.CONCLUSION IA should be considered as a differential diagnosis in cases of intestinal obstruction,and the recommended method for local disease treatment is surgery.
文摘BACKGROUND Cerebrospinal fluid(CSF)leaks in the temporal bone arise from osteodural defects,resulting in an abnormal connection between the subarachnoid space and the adjacent tympanomastoid cavity,which often manifests as otorrhea.Patients typically exhibit symptoms such as headache,unilateral hearing impairment,aural fullness,or even meningitis.Imaging studies are critical for identifying and differentiating the location and characteristics of CSF leaks.However,when the leak's origin remains ambiguous,diagnostic surgery may be warranted to both confirm the diagnosis and facilitate treatment.This report discusses an uncommon case while reviewing relevant literature,focusing on the surgical diagnostic intervention in a 58-year-old male with spontaneous temporal bone CSF leaks.CASE SUMMARY The patient,a 58-year-old man,was admitted for evaluation of left ear fullness,hearing loss,and nasal discharge.Notably,when supine,clear fluid drained from the left nasal cavity,with improvement noted upon sitting.A nasal examination did not reveal significant findings,while the otologic evaluation indicated an intact periosteum;however,considerable fluid accumulation was identified within the left middle ear.Despite undergoing multiple periosteal punctures and conservative medical management,the middle ear effusion persisted.Imaging studies,including magnetic resonance imaging(MRI)and computed tomography,confirmed the presence of left-sided CSF otorrhea,and the head MRI indicated potential CSF rhinorrhea.This raised challenges in determining whether the CSF leak originated from the sphenoid sinus or the temporal bone.Given that CSF otorrhea may drain through the external auditory canal and CSF rhinorrhea from the sellar region can present as nasal leakage,differentiation proved complex.In this case,with an intact external auditory canal,CSF from the middle ear was observed to flow into the nasal cavity via the Eustachian tube.Therefore,leakage from both sites could be misconstrued as CSF rhinorrhea,complicating the diagnostic process.Consequently,an exploratory surgical procedure was performed,revealing an incomplete dura mater on the temporal aspect of the petrous bone,which was subsequently repaired.CONCLUSION Benign intracranial hypertension can result in meningeal protrusion or meningoencephalocele,which may lead to CSF leakage that generally responds favorably to mucosal repair.In instances where imaging fails to identify the source of the leak or when diagnostic options are limited,proactive exploratory surgery is advisable.Although surgical interventions carry inherent risks,the application of endoscopic techniques by experienced surgeons renders this approach a feasible choice for addressing both diagnostic and therapeutic challenges.
文摘BACKGROUND Atrial fibrillation(AF)represents a common arrhythmia with significant implications and may occur pre-,intra-,or postoperatively(POAF).After cardiac surgery POAF occurs in approximately 30% of patients,while non-cardiac/nonthoracic surgery has a reported incidence between 0.4% to 15%,with new onset POAF occurring at a rate of 0.4% to 3%.While AF has been extensively studied,it has not been well described in emergent non-cardiac surgery associated with increased surgical stress in an intensive care unit setting(ICU).AIM To investigate the incidence/predictors of POAF in emergent non-cardiac surgery and its associations with postoperative outcomes in the ICU.METHODS This retrospective study included patients≥18 years who underwent exploratory laparotomy or lower extremity amputation between October 2012 and September 2023 and were admitted in the ICU.Data of interest included occurrence of POAF,demographic characteristics,comorbidities,laboratory values,administered fluids,medications,and postoperative outcomes.Statistical analyses consisted of identifying predic-tors of POAF and associations of POAF with outcomes of interest.RESULTS A total of 347 ICU patients were included,16.4% had a history of AF,13.0% developed POAF,and 7.9%developed new-onset POAF.Patients with new-onset POAF were older(79.6±9.1 vs 68.1±14.8 years,<0.001),of white race(47.8%vs 28.8,P<0.001),hypertensive(87.0%vs 71.2%,P=0.011),had longer ICU length of stay(ICU-LOS)(13.4 vs 6.7 days,P=0.042),higher mortality(43.5%vs 17.6%,P=0.016)and higher rate of cardiac arrest(34.8%vs 14.6%,P=0.005)compared to patients without new-onset POAF.Multivariable analysis revealed increased POAF risk with advanced age(OR=1.06;95%CI:1.02-1.10,P=0.005),white race(OR=2.85;95%CI:1.26-6.76,P=0.014),high intraoperative fluid(OR>1;95%CI:1.00-1.00,P=0.018),and longer ICU-LOS(OR=1.04;95%CI:1.00-1.08,P=0.023).After adjusting for demographics,new onset POAF significantly predicted mortality(OR=3.07;95%CI:1.14-8.01,P=0.022).CONCLUSION POAF was associated with prolonged ICU-LOS,white race,and high intraoperative fluid.New-onset POAF was associated with increased risk of cardiac arrest and death in critically ill patients.
基金Supported by Wu Jieping Medical Foundation,No.320.6750.2024-16-28.
文摘BACKGROUND Esophageal cancer(EC),primarily esophageal squamous cell carcinoma in China,has a poor prognosis with a 5-year survival rate of approximately 25%after surgery alone.Neoadjuvant chemoradiotherapy combined with surgery is the standard treatment for locally advanced EC,with a 47%5-year survival rate,although adverse events are common.Immunotherapy,particularly PD-1 inhibitors,has shown promise in treating advanced EC,and neoadjuvant chemotherapy with immunotherapy is effective.However,the efficacy of postoperative immunotherapy remains unclear,with studies like Checkmate577 showing promising results but limited applicability to surgery-only patients,highlighting the need for further research.AIM To evaluate the efficacy,prognostic factors,and safety of adjuvant immunotherapy with anti-PD-1 inhibitors following radical surgery for EC.METHODS A retrospective analysis was conducted on EC patients who received adjuvant immunotherapy after radical treatment at the 900th Hospital of the China Joint Logistics Force between January 2018 and October 2024.Demographic,treatment and laboratory data were collected.Progression-free survival(PFS)was assessed using the Kaplan-Meier method,and independent prognostic factors were identified using Cox regression.Optimal cutoff values for continuous variables,including body mass index(BMI)difference and neutrophil-to-lymphocyte ratio(NLR),were determined using the maxstat package in R.RESULTS A total of 44 patients were included,with a 2-year PFS rate of 68.6%[95%confidence interval(CI):53%-88.7%].Univariate analysis identified several factors significantly associated with prognosis,including the interval between surgery and immunotherapy,BMI difference between before surgery and first immunotherapy,presurgical lymphocyte count,and presurgical NLR.Multivariable Cox regression revealed that a BMI difference<3.86 was an independent protective factor for PFS(hazard ratio:0.42,95%CI:0.21-0.85,P<0.05).At the last followup,the median PFS for patients with BMI<3.86 had not been reached,compared to 8.83 months for those with BMI>3.86.The 1-year PFS for patients receiving postoperative chemotherapy combined with immunotherapy was 88.5%,suggesting superior efficacy over chemotherapy alone.CONCLUSION Adjuvant immunotherapy for EC shows good efficacy and safety.A BMI difference<3.86 is a protective factor for PFS,highlighting the importance of monitoring nutrition and inflammation for personalized treatment.
基金supported by the National Research Foundation of Korea(NRF)grant funded by the Korean government(MSIT)(No.RS-2023-00218176)the Soonchunhyang University Research Fund.
文摘Improving early diagnosis of autism spectrum disorder(ASD)in children increasingly relies on predictive models that are reliable and accessible to non-experts.This study aims to develop such models using Python-based tools to improve ASD diagnosis in clinical settings.We performed exploratory data analysis to ensure data quality and identify key patterns in pediatric ASD data.We selected the categorical boosting(CatBoost)algorithm to effectively handle the large number of categorical variables.We used the PyCaret automated machine learning(AutoML)tool to make the models user-friendly for clinicians without extensive machine learning expertise.In addition,we applied Shapley additive explanations(SHAP),an explainable artificial intelligence(XAI)technique,to improve the interpretability of the models.Models developed using CatBoost and other AI algorithms showed high accuracy in diagnosing ASD in children.SHAP provided clear insights into the influence of each variable on diagnostic outcomes,making model decisions transparent and understandable to healthcare professionals.By integrating robust machine learning methods with user-friendly tools such as PyCaret and leveraging XAI techniques such as SHAP,this study contributes to the development of reliable,interpretable,and accessible diagnostic tools for ASD.These advances hold great promise for supporting informed decision-making in clinical settings,ultimately improving early identification and intervention strategies for ASD in the pediatric population.However,the study is limited by the dataset’s demographic imbalance and the lack of external clinical validation,which should be addressed in future research.
基金funded by the Deanship of Scientific Research at Princess Nourah bint Abdulrahman University,through the Research Funding Program,Grant No.(FRP-1443-15).
文摘The analysis of Android malware shows that this threat is constantly increasing and is a real threat to mobile devices since traditional approaches,such as signature-based detection,are no longer effective due to the continuously advancing level of sophistication.To resolve this problem,efficient and flexible malware detection tools are needed.This work examines the possibility of employing deep CNNs to detect Android malware by transforming network traffic into image data representations.Moreover,the dataset used in this study is the CIC-AndMal2017,which contains 20,000 instances of network traffic across five distinct malware categories:a.Trojan,b.Adware,c.Ransomware,d.Spyware,e.Worm.These network traffic features are then converted to image formats for deep learning,which is applied in a CNN framework,including the VGG16 pre-trained model.In addition,our approach yielded high performance,yielding an accuracy of 0.92,accuracy of 99.1%,precision of 98.2%,recall of 99.5%,and F1 score of 98.7%.Subsequent improvements to the classification model through changes within the VGG19 framework improved the classification rate to 99.25%.Through the results obtained,it is clear that CNNs are a very effective way to classify Android malware,providing greater accuracy than conventional techniques.The success of this approach also shows the applicability of deep learning in mobile security along with the direction for the future advancement of the real-time detection system and other deeper learning techniques to counter the increasing number of threats emerging in the future.
基金supported by the Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences.
文摘The Yellow River Basin of China is a key region that contains myriad interactions between human activities and natural environment.Industrialization and urbanization promote social-economic development,but they also have generated a series of environmental and ecological issues in this basin.Previous researches have evaluated urban resilience at the national,regional,urban agglomeration,city,and prefecture levels,but not at the watershed level.To address this research gap and elevate the Yellow River Basin’s urban resilience level,we constructed an urban resilience evaluation index system from five dimensions:industrial resilience,social resilience,environmental resilience,technological resilience,and organizational resilience.The entropy weight method was used to comprehensively evaluate urban resilience in the Yellow River Basin.The exploratory spatial data analysis method was employed to study the spatiotemporal differences in urban resilience in the Yellow River Basin in 2010,2015,and 2020.Furthermore,the grey correlation analysis method was utilized to explore the influencing factors of these differences.The results of this study are as follows:(1)the overall level of urban resilience in the Yellow River Basin was relatively low but showed an increasing trend during 2010–2015,and significant spatial distribution differences were observed,with a higher resilience level in the eastern region and a low-medium resilience level in the western region;(2)the differences in urban resilience were noticeable,with industrial resilience and social resilience being relatively highly developed,whereas organizational resilience and environmental resilience were relatively weak;and(3)the correlation ranking of resilience influencing factors was as follows:science and technology level>administrative power>openness>market forces.This research can provide a basis for improving the resilience level of cities in the Yellow River Basin and contribute to the high-quality development of the region.
文摘The public health workforce is a key component of public health system.To articulate the scope of public health workforce,we reviewed the relevant World Health Organization(wHO)guidance and peer-reviewed journal articles on this subject.Specifically,we assessed and compared the relevant publications produced by WHO Headquarters and Regional Offices along with other literature on this issue.Our focus was on the“occupation,workplace setting,and employer of public health workforce”.It is noteworthy that WHO has adopted a conceptual framework with an inclusive scope of the public health workforce,while setting out a 5-year vision to strengthen capacity across all WHO Member States for a multidisciplinary workforce to deliver the essential public health functions,including emergency preparedness and response.The importance of public health workforce in global and national responses to the coronavirus disease 2019(COVID-19)pandemic is recognized.We also observed that there were diverse understandings of the scope of public health workforce worldwide,including macro-,meso-and micro-level perspectives.In the post-COVID-19 era,we suggest that policy-makers and practitioners at the national,regional and global level adopt a coordinated approach to expand and strengthen the national workforce as guided by the WHO towards the health-related targets of United Nations Sustainable Development Goals such as health security and Universal Health Coverage.
文摘The relationship between climate and labor flexibility has been distinguished as an antecedent of performance.In this sense,the objective of this work was to explore the factorial structure of the organizational binomial.A cross-sectional,psychometric,and correlational study was carried out with a sample of 100 employees from organizations in central Mexico.Respondents were selected based on their affiliation with the local chamber of commerce.The results show the prevalence of six factors related to the leadership climate,compensation,structure,logistics,contingencies,and risks.The total explained variance reached 71%,although the correlation analysis and the factorial structure indicate the inclusion of another factor that the literature identifies as entrepreneurial and innovative flexibility.
文摘The paper presents a case study on listening-speaking class instruction models based on exploratory practice. Assuming the dual roles of a teacher and a researcher, the writer of this paper has implemented three models of classroom instructions for the Viewing, Listening ＆ Speaking Class. From the students＇ report, teacher＇s log and classroom observation, it is concluded that the three models meet the needs of different students. The key to a successful Viewing, Listening＆ Speaking Class is to set reasonable goals and analyze students＇ needs.
基金Supported by National Natural Science Foundation of China:8197396882274660。
文摘Adequate preliminary research is a prerequisite for ensuring the quality of randomized controlled trials(RCTs)on acupuncture.This paper proposes that prior to conducting a new RCT of acupuncture,an evidence-based research(EBR)approach and exploratory studies should be adopted to ensure value and avoid waste of research.EBR,defined as using systematic reviews of relevant clinical studies and obtain the perspectives of end users in a systematic and transparent way to justify research questions and inform trial design,is recommended as the first step before embarking on an acupuncture RCT to ensure its value and rationality.The subsequent exploratory studies can aid researchers in pre-evaluating the effect of acupuncture treatment protocols,identifying key factors that influence the outcome,and test trial feasibility for protocol optimization.This article elucidates the significance and implementation of the EBR approach and exploratory studies,with the aim of providing practical methods to enhance the quality of acupuncture RCTs。
基金National Natural Science Foundation of China Youth Science Foundation ProjectNo.41701170+1 种基金National Natural Science Foundation of China,No.41661025,No.42071216Fundamental Research Funds for the Central Universities,No.18LZUJBWZY068。
文摘In 2007,China surpassed the USA to become the largest carbon emitter in the world.China has promised a 60%–65%reduction in carbon emissions per unit GDP by 2030,compared to the baseline of 2005.Therefore,it is important to obtain accurate dynamic information on the spatial and temporal patterns of carbon emissions and carbon footprints to support formulating effective national carbon emission reduction policies.This study attempts to build a carbon emission panel data model that simulates carbon emissions in China from 2000–2013 using nighttime lighting data and carbon emission statistics data.By applying the Exploratory Spatial-Temporal Data Analysis(ESTDA)framework,this study conducted an analysis on the spatial patterns and dynamic spatial-temporal interactions of carbon footprints from 2001–2013.The improved Tapio decoupling model was adopted to investigate the levels of coupling or decoupling between the carbon emission load and economic growth in 336 prefecture-level units.The results show that,firstly,high accuracy was achieved by the model in simulating carbon emissions.Secondly,the total carbon footprints and carbon deficits across China increased with average annual growth rates of 4.82%and 5.72%,respectively.The overall carbon footprints and carbon deficits were larger in the North than that in the South.There were extremely significant spatial autocorrelation features in the carbon footprints of prefecture-level units.Thirdly,the relative lengths of the Local Indicators of Spatial Association(LISA)time paths were longer in the North than that in the South,and they increased from the coastal to the central and western regions.Lastly,the overall decoupling index was mainly a weak decoupling type,but the number of cities with this weak decoupling continued to decrease.The unsustainable development trend of China’s economic growth and carbon emission load will continue for some time.
文摘Clustering is used to gain an intuition of the struc tures in the data.Most of the current clustering algorithms pro duce a clustering structure even on data that do not possess such structure.In these cases,the algorithms force a structure in the data instead of discovering one.To avoid false structures in the relations of data,a novel clusterability assessment method called density-based clusterability measure is proposed in this paper.I measures the prominence of clustering structure in the data to evaluate whether a cluster analysis could produce a meaningfu insight to the relationships in the data.This is especially useful in time-series data since visualizing the structure in time-series data is hard.The performance of the clusterability measure is evalu ated against several synthetic data sets and time-series data sets which illustrate that the density-based clusterability measure can successfully indicate clustering structure of time-series data.
基金Under the auspices of Key Research Program of Chinese Academy of Sciences(No.KZZD-EW-06-03KSZD-EW-Z-021-03)National Key Science and Technology Support Program of China(No.2008BAH31B06)
文摘Rural development inequality is an important practical issue during the course of full establishment of a ′moderately well-off society′ in modern China,and the objective understanding and evaluation of the status and regional inequality of rural development can provide scientific basis for ′building a new countryside′ and coordination development of rural-urban regions.Based on the county-level data of 2000,2005 and 2009,this paper examines the rural development inequality of Jilin Province in Northeast China by establishing a rural development index.The spatio-temporal dynamic patterns and domain factors are discussed by using the method of exploratory spatial data analysis and multi-regression model.The results are shown as follows.Firstly,most of the counties were in lower development level,which accounted for 58.3%,62.5% and 66.7% of the total counties in 2000,2005 and 2009,respectively.The characteristics of spatial inequality were very obvious at county level.For example,rural development level of Changchun Proper and the proper of seven prefecture-level cities were much higher than that of the surrounding regions.The counties in the eastern and northern Jilin Province were the lowest regions of rural development level,while the middle counties were the rapid growth areas in rural economy.Secondly,Moran′s I of rural development index(RDI) was 0.01,–0.16 and –0.06 in 2000,2005 and 2009,respectively,which indicated that spatial agglomeration of RDI was not obvious in Jilin Province,and took on the characteristic of random distribution.The counties of both the units and its adjacent units have higher development level(HH) were transferred from the western areas to the eastern areas,while the countries of both the units and its adjacent units have lower development level(LL) were diffused from the eastern to middle and western Jilin Province.Finally,the result of multi-regression analysis showed that the improvement of agricultural production condition,development of agricultural economics and the adjustment of industrial structure were the domain factors affecting rural development inequality of Jilin Province in the later ten years.
基金Under the auspices of National Natural Science Foundation of China(No.41071116)Humanity and Social ScienceFoundation of Ministry of Education(No.09YJC790225,11YJA630008)
文摘This paper principally focuses on the morphological differences,spatial pattern and regional types of rural settlements in Xuzhou City of Jiangsu Province in China.Using satellite images of Xuzhou City taken in 2007 and 2008 and models of exploratory spatial data analysis(ESDA) and spatial metrics,the paper conducts a quantitative analysis of the morphological pattern of rural settlements,and finds significant characteristics.First,rural settlements in Xuzhou City are significantly agglomerated in terms of their spatial distribution;meanwhile,there is significant variation in the geographical density distribution.Second,the scale of rural settlements in Xuzhou City is larger than the average in Jiangsu Province,and the histogram of the scale data is more even and more like a gamma distribution.There are a significant high-value cluster in the scale distribution,and local negative correlation between the scale and density distribution of rural settlements in Xuzhou City.Third,the morphology of rural settlements in Xuzhou City shows relative regularity with good connection and integrity,but the spatial variation of the morphology is anisotropic.Finally,according to the characteristics of density,scale,and form of rural settlements,the rural settlements of Xuzhou City are divided into three types:A high-density and point-scattered type,a low-density and cluster-like type and a mass-like and sparse type.The research findings could be used as the scientific foundation for rural planning and community rebuilding,particularly in less-developed areas.
基金Supported by the National Natural Science Foundation of China(Nos.41406146,41476129)the Natural Science Foundation of Shanghai Municipality(No.13ZR1419300)+1 种基金the Research Fund for the Doctoral Program of Higher Education of China(No.20123104120002)the Shanghai Universities First-Class Disciplines Project-Fisheries(A)
文摘With the increasing effects of global climate change and fishing activities,the spatial distribution of the neon flying squid(Ommastrephes bartramii) is changing in the traditional fishing ground of 150°-160°E and 38°-45°N in the northwest Pacific Ocean.This research aims to identify the spatial hot and cold spots(i.e.spatial clusters) of O.bartramii to reveal its spatial structure using commercial fishery data from2007 to 2010 collected by Chinese mainland squid-j igging fleets.A relatively strongly-clustered distribution for O.bartramii was observed using an exploratory spatial data analysis(ESDA) method.The results show two hot spots and one cold spot in 2007 while only one hot and one cold spots were identified each year from2008 to 2010.The hot and cold spots in 2007 occupied 8.2%and 5.6%of the study area,respectively;these percentages for hot and cold spot areas were 5.8%and 3.1%in 2008,10.2%and 2.9%in 2009,and 16.4%and 11.9%in 2010,respectively.Nearly half(>45%) of the squid from 2007 to 2009 reported by Chinese fleets were caught in hot spot areas while this percentage reached its peak at 68.8%in 2010,indicating that the hot spot areas are central fishing grounds.A further change analysis shows the area centered at156°E/43.5°N was persistent as a hot spot over the whole period from 2007 to 2010.Furthermore,the hot spots were mainly identified in areas with sea surface temperature(SST) in the range of 15-20℃ around warm Kuroshio Currents as well as with the chlorophyll-a(chl-a) concentration above 0.3 mg/m^3.The outcome of this research improves our understanding of spatiotemporal hotspots and its variation for O.bartramii and is useful for sustainable exploitation,assessment,and management of this squid.
基金Key Projects of Philosophy of the Social Science funded by the Ministry of Education,No.11JD039National Key Public Bidding Project for Soft Science Research Plan,No.2012GXS1D002National Natural Science Foundation of China,No.41001083
文摘According to the connotation and structure of science and technology resources and some relevant data of more than 286 cities at prefecture level and above during 2001-2010, using modified method--Data Envelopment Analysis （DEA）, science and tech- nology （S＆T） resource allocation efficiency of different cities in different periods has been figured out, which, uncovers the distributional difference and change law of S＆T resource allocation efficiency from the time-space dimension. Based on that, this paper has analyzed and discussed the spatial distribution pattern and evolution trend of S＆T resource allocation efficiency in different cities by virtue of the Exploratory Spatial Data Analysis （ESDA）. It turned out that： （1） the average of S＆T resource allocation efficiency in cities at prefecture level and above has always stayed at low levels, moreover, with repeated fluctuations between high and low, which shows a decreasing trend year by year. Besides, the gap between the East and the West is widening. （2） The asymmetrical distribution of S＆T resource allocation effi- ciency presents a spatial pattern of successively decreasing from Eastern China, Central China to Western China. The cities whose S＆T resource allocation efficiency are at higher level and high level take on a cluster distribution, which fits well with the 23 forming urban agglomerations in China. （3） The coupling degree between S＆T resource allocation efficiency and economic environment assumes a certain positive correlation, but not completely the same. The differentiation of S＆T resource allocation efficiency is common in regional devel- opment, whose existence and evolution are directly or indirectly influenced by and regarded as the reflection of many elements, such as geographical location, the natural endowment and environment of S＆T resources and so on. （4） In the perspective of the evolution of spatial structure, S＆T resource allocation efficiency of the cities at prefecture level and above shows a notable spatial autocorrelation, which in every period presents a positive correlation. The spatial distribution of S＆T resource allocation efficiency in neighboring cities seems to be similar in group, which tends to escalate stepwise. Meanwhile, the whole differentiation of geographical space has a diminishing tendency. （5） Viewed from LISA agglomeration map of S＆T resource allocation efficiency in different periods, four agglomeration types have changed differently in spatial location and the range of spatial agglomeration. And the conti- nuity of S＆T resource allocation efficiency in geographical space is gradually increasing.
文摘An intriguing question in behavioral biology is whether consistent individual differences （calledanimal personalities） relate to variation in cognitive performance because commonly measuredpersonality traits may be associated with risk-reward trade-offs. Social insects, whose learningabilities have been extensively characterized, show consistent behavioral variability, both at colonyand at individual level. We investigated the possible link between personality traits and learningperformance in the carpenter ant Camponotus aethiops. Exploratory activity, sociability, and ag-gression were assessed twice in ant foragers. Behaviors differed among individuals, they werepartly repeatable across time and exploratory activity correlated positively with aggression.Learning abilities were quantified by differential conditioning of the maxilla-labium extension re-sponse, a task that requires cue perception and information storage. We found that exploratory ac-tivity of individual ants significantly predicted learning performance： ＂active-explorers＂ wereslower in learning the task than ＂inactive-explorers＂. The results suggest for the first time a link be-tween a personality trait and cognitive performance in eusocial insects, and that the underlying in-dividual variability could affect colony performance and success.
基金National Social Science Foundation of China,No.21FSHB014National Natural Science Foundation of China,No.42001196。
文摘Influenced by globalization,rural transition in developed Western countries has experienced processes of productivism,post-productivism,and multifunctional development.By contrast,rural transition in most developing countries has been accompanied by rapid urbanization,which has become a core topic in geography research.As the world’s largest developing country,China has undergone profound development since the reform and opening-up.Moreover,rural spaces in some eastern coastal areas have entered the stage of reconstruction after decades of industrialization and urbanization.This paper takes Suzhou as the case area and measures the process of rural transition from 1990 to 2015 by constructing an index system.It then analyzes the characteristics of space-time evolution using exploratory spatial data analysis(ESDA)methods to reveal the influence of economic and social development on rural transition.The results show that rural transition,which generally entails the weakening of rurality and enhancing of urbanity on a macro scale,tends to be heterogeneous across different regions on a micro scale.This paper argues that multifunctionality will be the main future trend of rural transition in rapidly urbanizing areas.The experience in Suzhou could provide an example for establishing policies on sustainable development in rural spaces and achieving urban-rural co-governance.
基金the National Natural Science Foundation of China(61872378).
文摘Some attributes are uncertain for evaluation work because of incomplete or limited information and knowledge.It leads to uncertainty in evaluation results.To that end,an evaluation method,uncertainty entropy-based exploratory evaluation(UEEE),is proposed to guide the evaluation activities,which can iteratively and gradually reduce uncertainty in evaluation results.Uncertainty entropy(UE)is proposed to measure the extent of uncertainty.First,the belief degree distributions are assumed to characterize the uncertainty in attributes.Then the belief degree distribution of the evaluation result can be calculated by using uncertainty theory.The obtained result is then checked based on UE to see if it could meet the requirements of decision-making.If its uncertainty level is high,more information needs to be introduced to reduce uncertainty.An algorithm based on the UE is proposed to find which attribute can mostly affect the uncertainty in results.Thus,efforts can be invested in key attribute(s),and the evaluation results can be updated accordingly.This update should be repeated until the evaluation result meets the requirements.Finally,as a case study,the effectiveness of ballistic missiles with uncertain attributes is evaluated by UEEE.The evaluation results show that the target is believed to be destroyed.
