The endpoint carbon content in the converter is critical for the quality of steel products,and accurately predicting this parameter is an effective way to reduce alloy consumption and improve smelting efficiency.Howev...The endpoint carbon content in the converter is critical for the quality of steel products,and accurately predicting this parameter is an effective way to reduce alloy consumption and improve smelting efficiency.However,most scholars currently focus on modifying methods to enhance model accuracy,while overlooking the extent to which input parameters influence accuracy.To address this issue,in this study,a prediction model for the endpoint carbon content in the converter was developed using factor analysis(FA)and support vector machine(SVM)optimized by improved particle swarm optimization(IPSO).Analysis of the factors influencing the endpoint carbon content during the converter smelting process led to the identification of 21 input parameters.Subsequently,FA was used to reduce the dimensionality of the data and applied to the prediction model.The results demonstrate that the performance of the FA-IPSO-SVM model surpasses several existing methods,such as twin support vector regression and support vector machine.The model achieves hit rates of 89.59%,96.21%,and 98.74%within error ranges of±0.01%,±0.015%,and±0.02%,respectively.Finally,based on the prediction results obtained by sequentially removing input parameters,the parameters were classified into high influence(5%-7%),medium influence(2%-5%),and low influence(0-2%)categories according to their varying degrees of impact on prediction accuracy.This classi-fication provides a reference for selecting input parameters in future prediction models for endpoint carbon content.展开更多
The framework of fatigue factors is constructed to reduce the number of maritime accidents caused by human fatigue.Based on the study of maritime human fatigue,by screening and classifying it,there are 15 fatigue fact...The framework of fatigue factors is constructed to reduce the number of maritime accidents caused by human fatigue.Based on the study of maritime human fatigue,by screening and classifying it,there are 15 fatigue factors,which can be classified into 4 types:sleep,rest and rhythm;work factors;personal conditions;environmental factors.These factors are regarded as the variables for constructing scenarios.The importance,uncertainty,influence and dependence of variables and variable pairs were assessed by using morphological analysis,quantitative scales and correlation matrices.Ship movement and workload are selected as the two key variables,which are regarded as the axes of generating scenarios.One of the scenarios is selected as the typical scenario to illustrate the relationship between the causes of fatigue.Then,the analysis framework is constructed according to the fatigue factors relationship,and several potential solutions are proposed,which include the development of foresighted and flexible work plans,and the application of wearable facilities to improve monitoring and assessment systems.The proposed framework lays a theoretical foundation for studying maritime human fatigue,and scenario analysis can provide an effective strategy for reducing crews'fatigue.展开更多
The general human factors analysis analyzes human functions,effects and influence in a system.But in a narrow sense,it analyzes human influence upon the reliability of a system,it includes traditional human reliabilit...The general human factors analysis analyzes human functions,effects and influence in a system.But in a narrow sense,it analyzes human influence upon the reliability of a system,it includes traditional human reliability analysis,human error analysis,man-machine interface analysis,human character analysis,and others.A software development project in software engineering is successful or not to be completely determined by human factors.In this paper,we discuss the human factors intensions,declare the importance of human factors analysis for software engineering by listed some instances.At last,we probe preliminarily into the mentality that a practitioner in software engineering should possess.展开更多
Autonomous Underwater Vehicles(AUVs)are pivotal for deep-sea exploration and resource exploitation,yet their reliability in extreme underwater environments remains a critical barrier to widespread deployment.Through s...Autonomous Underwater Vehicles(AUVs)are pivotal for deep-sea exploration and resource exploitation,yet their reliability in extreme underwater environments remains a critical barrier to widespread deployment.Through systematic analysis of 150 peer-reviewed studies employing mixed-methods research,this review yields three principal advancements to the reliability analysis of AUVs.First,based on the hierarchical functional division of AUVs into six subsystems(propulsion system,navigation system,communication system,power system,environmental detection system,and emergency system),this study systematically identifies the primary failure modes and potential failure causes of each subsystem,providing theoretical support for fault diagnosis and reliability optimization.Subsequently,a comprehensive review of AUV reliability analysis methods is conducted from three perspectives:analytical methods,simulated methods,and surrogate model methods.The applicability and limitations of each method are critically analyzed to offer insights into their suitability for engineering applications.Finally,the study highlights key challenges and research hotpots in AUV reliability analysis,including reliability analysis under limited data,AI-driven reliability analysis,and human reliability analysis.Furthermore,the potential of multi-sensor data fusion,edge computing,and advanced materials in enhancing AUV environmental adaptability and reliability is explored.展开更多
AIM:To investigate the correlation between human epidermal growth factor receptor(HER-2) protein expression and colorectal cancer(CRC) using a casecontrol study and meta-analysis.METHODS:Tumor tissue specimens from 16...AIM:To investigate the correlation between human epidermal growth factor receptor(HER-2) protein expression and colorectal cancer(CRC) using a casecontrol study and meta-analysis.METHODS:Tumor tissue specimens from 162 CRC patients were selected for the case group.Fifty cases were randomly selected,and normal CRC tissue at least 10 cm away from the tumor margins of these cases was used to generate the control group.The expression of the HER-2 protein in the 162 CRC tissue samples and the 50 adjacent normal mucosa tissue samples was detected via immunohistochemistry.The experimental data were analyzed using SPSS 18.0software,and R software version 3.1.0 was utilized for further verification.RESULTS:The expression of HER-2 protein in the 162 CRC tissue samples was significantly higher than in the normal tissue specimens.The data showed that the expression of HER-2 in CRC was related to the Dukes' stage,the depth of invasion and lymph node metastasis.The HER-2-positive patients had lower 3-and 5-year OS rates than the HER-2-negative patients,but there was no significant difference.However,there was a statistically significant difference in the 3- and5-year disease-free survival(DFS) rates of HER-2-positive and HER-2-negative patients.The results of the meta-analysis showed that the expression of HER-2in CRC patients was statistically significantly increased over that of healthy people.The 3-year DFS rate in HER-2-positive patients was markedly lower than that in HER-2-negative patients.CONCLUSION:Down-regulation of HER-2 expression might be a dependable strategy for CRC therapy.展开更多
Objective To study the alternative expression and sequence of human elongation factor-1δ （human EF-1δ p31） during malignant transformation of human bronchial epithelial cells induced by cadmium chloride （CdCl2） ...Objective To study the alternative expression and sequence of human elongation factor-1δ （human EF-1δ p31） during malignant transformation of human bronchial epithelial cells induced by cadmium chloride （CdCl2） and its possible mechanism. Methods Total RNA was isolated at different stages of transformed human bronchial epithelial cells （16HBE） induced by CdCl2 at a concentration of 5.0 μM. Special primers and probe for human EF-1δ p31 were designed and expression of human EF-18 mRNA from different cell lines was detected with fluorescent quantitative PCR technique. EF-18 cDNA from different cell lines was purified and cloned into pMD 18-T vector followed by confirming and sequencing analysis. Results The expressions of human EF-1δ p31 at different stages of 16HBE cells transformed by CdCl2 was elevated （P〈0.01 or P〈0.05）. Compared with their corresponding non-transformed ceils, the overexpression level of EF-15 p31 was averagely increased 2.9 folds in Cd-pretransformed cells, 4.3 folds in Cd-transformed ceils and 7.2 folds in Cd-tumorigenic cells. No change was found in the sequence of overexpressed EF-1δ p31 at different stages of 16HBE cells transformed by CdCl2. Conclusion Overexpression of human EF-1δ p31 is positively correlated with malignant transformation of 16HBE cells induced by CdCl2, but is not correlated with DNA mutations.展开更多
Lanzhou Valley Basin is composed of two smaller diamond-shaped basins striking from NW to SE and including 6 river terraces. The lower terraces remaining even and smooth are main sites for city buildings. The main fun...Lanzhou Valley Basin is composed of two smaller diamond-shaped basins striking from NW to SE and including 6 river terraces. The lower terraces remaining even and smooth are main sites for city buildings. The main function of Lanzhou urban settlement is a ferry and transport centre. Lanzhou used to be an im-portant crossing site and post on the 'silk road',and then became a transport and trade centre in Northwest China. In the middle part of the 17th century, Lanzhou became the capital of Gansu,a new province. The development process of Lanzhou urban settlement indicates that urban settlement is a system consisting of natural environment and human society based on the former.展开更多
Human factors are critical causes of modern aviation accidents. However, existing accident analysis methods encounter limitations in addressing aviation human factors, especially in complex accident scenarios. The exi...Human factors are critical causes of modern aviation accidents. However, existing accident analysis methods encounter limitations in addressing aviation human factors, especially in complex accident scenarios. The existing graphic approaches are effective for describing accident mechanisms within various categories of human factors, but cannot simultaneously describe inad- equate human-aircraft-environment interactions and organizational deficiencies effectively, and highly depend on analysts＇ skills and experiences. Moreover, the existing methods do not emphasize latent unsafe factors outside accidents. This paper focuses on the above three limitations and proposes an integrated graphi^taxonomic-associative approach. A new graphic model named accident tree （AceiTree）, with a two-mode structure and a reaction-based concept, is developed for accident modeling and safety defense identification. The AcciTree model is then integrated with the well-established human factors analysis and classification system （HFACS） to enhance both reliability of the graphic part and logicality of the taxonomic part for improving completeness of analysis. An associative hazard analysis technique is further put forward to extend analysis to fac- tors outside accidents, to form extended safety requirements for proactive accident prevention. Two crash examples, a research flight demonstrator by our team and an industrial unmanned aircraft, illustrate that the integrated approach is effective for identifying more unsafe factors and safety requirements.展开更多
AIM: To identify the prognostic factors with regard to survival for patients with brain metastasis from primary tumors of the gastrointestinal tract. METHODS: Nine hundred and sixteen patients with brain metastases, t...AIM: To identify the prognostic factors with regard to survival for patients with brain metastasis from primary tumors of the gastrointestinal tract. METHODS: Nine hundred and sixteen patients with brain metastases, treated with whole brain radiation therapy (WBRT) between January 1985 and December 2000 at the Department of Radiation Oncology, University Hospital Freiburg, were analyzed retrospectively. RESULTS: Fifty-seven patients presented with a primary tumor of the gastrointestinal tract (esophagus: n=0, stomach: n=10, colorectal: n=47). Twenty-six patients had a solitary brain metastasis, 31 patients presented with multiple brain metastases. Surgical resection was performed in 25 patients. WBRT was applied with daily fractions of 2 Gray (Gy) or 3Gy to a total dose of 50Gy or 30Gy, respectively. The interval between diagnoses of the primary tumors and brain metastases was 22.6mo vs 8.0mo for patients with primary tumors of the colon/rectum vs other primary tumors, respectively (P<0.01, log-rank). Median overall survival for all patients with brain metastases (n=916) was 3.4mo and 3.2mo for patients with gastrointestinal neoplasms. Patients with gastrointestinal primary tumors presented significantly more often with a solitary brain metastasis than patients with other primary tumors (P<0.05, log-rank). In patients with gastrointestinal neoplasms (n=57), the median overall survival was 5.8 mo for patients with solitary brain metastasis vs 2.7mo for patients with multiple brain metastases (P<0.01, log-rank). The median overall survival for patients with a Karnofsky performance status (KPS) ≥70 was 5.5mo vs 2.1mo for patients with KPS <70 (P<0.01, log-rank). At multivariate analysis (Cox Model) the performance status and the number of brain metastases were identified as independent prognostic factors for overall survival. CONCLUSION: Brain metastases occur late in the course of gastrointestinal tumors. Pretherapeutic variables like KPS and the number of brain metastases have a profound influence on treatment outcome.展开更多
The strength reduction factors are not only the key factors in determining seismic action for force-based seismic design, but also the key parameters to derive the inelastic response spectra for performance-based seis...The strength reduction factors are not only the key factors in determining seismic action for force-based seismic design, but also the key parameters to derive the inelastic response spectra for performance-based seismic design. In this paper, with a high quality ground motion database that includes a reasonable-sized set of records from China, a statistical study on the strength reduction factors is conducted and a new expression of strength reduction factors involving classification of design earthquake, which is an important concept to determine design spectra in Chinese seismic design code, is proposed. The expression of strength reduction factors can reflect the ground motion characteristics of China to a certain extent and is particularly suitable for Chinese seismic design. Then, the influence effects of site condition, classification of design earthquake, period of vibration, ductility level, earthquake magnitude and distance to fault on strength reduction factors are investigated. It is concluded that the effect of site condition on the strength reduction factors cannot be neglected, especially for the short-period structures of higher ductility. The classification of design earthquake also has an important effect on strength reduction factors and it may be unsuitable to use the existing expressions of strength reduction factors to the design spectra of current Chinese seismic code. The earthquake magnitude has no practical effect on strength reduction factors and if the near-fault records with forward directivity effect are not taken into consideration, the effect of distance to fault on strength reduction factors can also be neglected.展开更多
Change trend of cultivated land and construction land in Hubei Province is analyzed.The years 1998-2003 are the reduction period of cultivated land;the years 2004-2007 are the increase period of cultivated land;the ye...Change trend of cultivated land and construction land in Hubei Province is analyzed.The years 1998-2003 are the reduction period of cultivated land;the years 2004-2007 are the increase period of cultivated land;the years 1988-2002 are the slow growth period of construction land;and the years of 2003 and 2007 are the increase period of construction land.Based on related social economic statistical data in 1988-2007,human driving forces on cultivated land and construction land in Hubei Province are analyzed quantitatively and comparatively by using SPSS software and mathematical statistics method.Result shows that driving force factors have negative driving effect on cultivated land,and positive driving effect on construction land.Driving force factors have significant differences of driving effects on cultivated land and construction land.Three principal components affecting the changes of cultivated land and construction land are policy,population and economic development level,and gap between urban and rural living standards.The three principal components have different degrees of sensitivity on the two land use types and the effects direction are reverse.The other factor driving abilities are relatively weak,and these factors have relatively stronger driving force on construction land than that on cultivated land.It is put forward that Hubei Province should implement rational allocation of land resources and scientific and rational use in order to ensure land security and to realize the sustainable development of regional economy and society based on the intensive land use,the planning policy constraints,and the agricultural and industrial production.展开更多
Human milk(HM)not only provides nutrients for infants but also produces volatile odors that can be perceived by newborns,influencing their dietary behavior,flavor learning,and food preferences.Meanwhile,the design of ...Human milk(HM)not only provides nutrients for infants but also produces volatile odors that can be perceived by newborns,influencing their dietary behavior,flavor learning,and food preferences.Meanwhile,the design of infant formula is gradually getting closer to HM in terms of nutrient composition rather than sensory performance.Volatile compounds in HM are produced upon lipid,protein,and carbohydrate degradation and via Maillard reactions.They primarily consist of fatty acids,terpenes,aldehydes,ketones,alcohols,furans,and pyrans.Moreover,the factors influencing HM flavors are critically involved in dietary intake,HM macronutrients,storage temperature,storage time,and sterilization conditions.This review aimed to summarize the formation,composition characteristics,influencing factors,and analytical techniques of HM odor by summarizing existing studies.Relevant conclusions can provide a theoretical basis for future research on the identification,evaluation,and simulation of HM flavor profiles.展开更多
Background： A number of studies have examined human epidermal growth factor receptor 2 （HER2） status in primary gastric cancer （GC） and associated metastasis, some showed their great concordance in FIER2 expressi...Background： A number of studies have examined human epidermal growth factor receptor 2 （HER2） status in primary gastric cancer （GC） and associated metastasis, some showed their great concordance in FIER2 expression, but others demonstrated notable discordance. There is still little consensus on HER2 discordance, therefore, a systematic review and meta-analysis was conducted to assess the status on HER2 discordance between primary GC and its paired metastasis. Methods： PubMed, EMBASE, ASCO and The Cochrane Library were searched for studies that explored the concordance between primary tumor and metastasis in patients with GC up to 10 March, 2014. Data of discordance of HER2 between primary GC and corresponding metastasis were extracted from the publications and random-effects models were used to estimate pooled discordance proportions. Results： Eighteen articles including 1,867 patients were included for the meta-analysis in accordance with the selection criteria. Pooled discordance proportions were 7% [95% confidence interval （CI）： 5-10%] for HER2 status. Pooled proportions of tumors shifting from positive to negative and from negative to positive were 17% （95% CI： 7-29%） and 4% （95% CI： 2-6%） respectively. No publication bias was found in the meta-analysis. Conclusions： The discordance of HER2 status is not rare in primary and metastatic GC through our metaanalysis. Prospective studies are needed to testify the clinical significance of the discordance of HER2 status.展开更多
A human B cell line （3D5） that responds specifically to B cell growth factor （BCGF） hasbeen developed by a sequence of Staphylococcus aureus Cowen I activation,EB virus im-mortalization,and cloning.Proliferative r...A human B cell line （3D5） that responds specifically to B cell growth factor （BCGF） hasbeen developed by a sequence of Staphylococcus aureus Cowen I activation,EB virus im-mortalization,and cloning.Proliferative response to PHA-stimulated T cell supernatant（PHA-T-Sup） and nonresponsiveness to rIL-2 stimulation were factors used to screen positivecells.Phenotype analysis with a flow cytometer indicated that:1) 3D5 is a B cell line:100% of the cells were positive for B1 marker and 59% were positive for sIg,while T3and Mo 1 were negative:2) 3D5 is an activated B cell line:both Tac and 4F2 markersof activated （but not of resting） B cells were 100% positive:3) 3D5 expresses high molecularweight BCGF （HMW-BCGF） receptor-associated epitope BA5.3D5 cells proliferated inresponse to cpBCGF stimulation in a dose-dependent manner.HMW-BCGF also induced3D5 cells to proliferate.Interestingly.no proliferation could be detected in the presenceof rIL-2,rIL-4,or rIFN-r.The data show that 3D5 cells are specifically BCGF-responsiveB cells.Using 3D5 cells as target,BCGF activity was detected in crude BCGF preparationsedimented by 85% （NH<sub>4</sub>）<sub>2</sub>SO<sub>4</sub> and chromatographed in a DEAE-Sephadex A-25 column fromPHA-T-Sup.T24 cell supernatant with B cell differentiation factor （BCDF） activity couldnot induce 3D5 cells to differentiate into immunoglobulin-secreting cells.展开更多
Driver state sensing technologies,such as vehicular systems,start to be widely considered by automotive manufacturers.To reduce the cost and minimize the intrusiveness towards driving,the majority of these systems rel...Driver state sensing technologies,such as vehicular systems,start to be widely considered by automotive manufacturers.To reduce the cost and minimize the intrusiveness towards driving,the majority of these systems rely on the in-cabin camera(s)and other optical sensors.With their great capabilities in detecting and intervening of driver distraction and inattention,these technologies may become key components in future vehicle safety and control systems.However,to the best of our knowledge,currently,there is no common standard available to objectively compare the performance of these technologies.Thus,it is imperative to develop one standardized process for evaluation purposes.In this paper,we propose one systematic and standardized evaluation process after successfully addressing three difficulties:1)defining and selecting the important influential individual and environmental factors,2)countering the effects of individual differences and randomness in driver behaviors,and 3)building a reliable in-vehicle driver head motion tracking tool to collect ground-truth motion data.We have collected data on a large scale on a commercial driver state-sensing platform.For each subject,30 to 40 minutes of head motion data was collected and included variables,such as lighting conditions,head/face features,and camera locations.The collected data was analyzed based on a proposed performance measure.The results show that the developed process can efficiently evaluate an individual camerabased driver state sensing product,which builds a common base for comparing the performance of different systems.展开更多
Human-human interaction recognition is crucial in computer vision fields like surveillance,human-computer interaction,and social robotics.It enhances systems’ability to interpret and respond to human behavior precise...Human-human interaction recognition is crucial in computer vision fields like surveillance,human-computer interaction,and social robotics.It enhances systems’ability to interpret and respond to human behavior precisely.This research focuses on recognizing human interaction behaviors using a static image,which is challenging due to the complexity of diverse actions.The overall purpose of this study is to develop a robust and accurate system for human interaction recognition.This research presents a novel image-based human interaction recognition method using a Hidden Markov Model(HMM).The technique employs hue,saturation,and intensity(HSI)color transformation to enhance colors in video frames,making them more vibrant and visually appealing,especially in low-contrast or washed-out scenes.Gaussian filters reduce noise and smooth imperfections followed by silhouette extraction using a statistical method.Feature extraction uses the features from Accelerated Segment Test(FAST),Oriented FAST,and Rotated BRIEF(ORB)techniques.The application of Quadratic Discriminant Analysis(QDA)for feature fusion and discrimination enables high-dimensional data to be effectively analyzed,thus further enhancing the classification process.It ensures that the final features loaded into the HMM classifier accurately represent the relevant human activities.The impressive accuracy rates of 93%and 94.6%achieved in the BIT-Interaction and UT-Interaction datasets respectively,highlight the success and reliability of the proposed technique.The proposed approach addresses challenges in various domains by focusing on frame improvement,silhouette and feature extraction,feature fusion,and HMM classification.This enhances data quality,accuracy,adaptability,reliability,and reduction of errors.展开更多
BACKGROUND Human immunodeficiency virus(HIV)infection is a major global public health concern.North African countries carry a disproportionate burden of HIV representing one of the highest rates in Africa.AIM To chara...BACKGROUND Human immunodeficiency virus(HIV)infection is a major global public health concern.North African countries carry a disproportionate burden of HIV representing one of the highest rates in Africa.AIM To characterize the epidemiological and spatial trends of HIV infection in this region.METHODS A systematic review was carried out on all the published data regarding HIV/acquired immunodeficiency syndrome in North African countries over ten years(2008-2017)following the PRISMA guidelines.We performed a comprehensive literature search using Medline PubMed,Embase,regional and international databases,and country-level reports with no language restriction.The quality,quantity,and geographic coverage of the data were assessed at both the national and regional levels.We used random-effects methods,spatial variables,and stratified results by demographic factors.Only original data on the prevalence of HIV infection were included and independently evaluated by professional epidemiologists.RESULTS A total of 721 records were identified but only 41 that met the criteria were included in the meta-analysis.There was considerable variability in the prevalence estimates of HIV within the countries of the region.The overall prevalence of HIV ranged from 0.9%[95%confidence interval(CI)0.8-1.27]to 3.8%(95%CI 1.17-6.53).The highest prevalence was associated with vulnerable groups and particularly drug abusers and sexually promiscuous individuals.The dense HIV clustering noted varied from one country to another.At least 13 HIV subtypes and recombinant forms were prevalent in the region.Subtype B was the most common variant,followed by CRF02_AG.CONCLUSION This comprehensive review indicates that HIV infection in North African countries is an increasing threat.Effective national and regional strategies are needed to improve monitoring and control of HIV transmission,with particular emphasis on geographic variability and HIV clustering.展开更多
This paper presents a comprehensive analysis of global human trafficking trends over a twenty-year period, leveraging a robust dataset from the Counter Trafficking Data Collaborative (CTDC). The study unfolds in a sys...This paper presents a comprehensive analysis of global human trafficking trends over a twenty-year period, leveraging a robust dataset from the Counter Trafficking Data Collaborative (CTDC). The study unfolds in a systematic manner, beginning with a detailed data collection phase, where ethical and legal standards for data usage and privacy are strictly observed. Following collection, the data undergoes a rigorous preprocessing stage, involving cleaning, integration, transformation, and normalization to ensure accuracy and consistency for analysis. The analytical phase employs time-series analysis to delineate historical trends and utilizes predictive modeling to forecast future trajectories of human trafficking using the advanced analytical capabilities of Power BI. A comparative analysis across regions—Africa, the Americas, Asia, and Europe—is conducted to identify and visualize the distribution of human trafficking, dissecting the data by victim demographics, types of exploitation, and duration of victimization. The findings of this study not only offer a descriptive and predictive outlook on trafficking patterns but also provide insights into the regional nuances that influence these trends. The article underscores the prevalence and persistence of human trafficking, identifies factors contributing to its evolution, and discusses the implications for policy and law enforcement. By integrating a methodological approach with quantitative analysis, this research contributes to the strategic planning and resource allocation for combating human trafficking. It highlights the necessity for continued research and international cooperation to effectively address and mitigate this global issue. The implications of this research are significant, offering actionable insights for policymakers, law enforcement, and advocates in the ongoing battle against human trafficking.展开更多
基金financially supported by the National Natural Science Foundation of China(No.52174297).
文摘The endpoint carbon content in the converter is critical for the quality of steel products,and accurately predicting this parameter is an effective way to reduce alloy consumption and improve smelting efficiency.However,most scholars currently focus on modifying methods to enhance model accuracy,while overlooking the extent to which input parameters influence accuracy.To address this issue,in this study,a prediction model for the endpoint carbon content in the converter was developed using factor analysis(FA)and support vector machine(SVM)optimized by improved particle swarm optimization(IPSO).Analysis of the factors influencing the endpoint carbon content during the converter smelting process led to the identification of 21 input parameters.Subsequently,FA was used to reduce the dimensionality of the data and applied to the prediction model.The results demonstrate that the performance of the FA-IPSO-SVM model surpasses several existing methods,such as twin support vector regression and support vector machine.The model achieves hit rates of 89.59%,96.21%,and 98.74%within error ranges of±0.01%,±0.015%,and±0.02%,respectively.Finally,based on the prediction results obtained by sequentially removing input parameters,the parameters were classified into high influence(5%-7%),medium influence(2%-5%),and low influence(0-2%)categories according to their varying degrees of impact on prediction accuracy.This classi-fication provides a reference for selecting input parameters in future prediction models for endpoint carbon content.
基金The National Natural Science Foundation of China(No.71573172,51709168).
文摘The framework of fatigue factors is constructed to reduce the number of maritime accidents caused by human fatigue.Based on the study of maritime human fatigue,by screening and classifying it,there are 15 fatigue factors,which can be classified into 4 types:sleep,rest and rhythm;work factors;personal conditions;environmental factors.These factors are regarded as the variables for constructing scenarios.The importance,uncertainty,influence and dependence of variables and variable pairs were assessed by using morphological analysis,quantitative scales and correlation matrices.Ship movement and workload are selected as the two key variables,which are regarded as the axes of generating scenarios.One of the scenarios is selected as the typical scenario to illustrate the relationship between the causes of fatigue.Then,the analysis framework is constructed according to the fatigue factors relationship,and several potential solutions are proposed,which include the development of foresighted and flexible work plans,and the application of wearable facilities to improve monitoring and assessment systems.The proposed framework lays a theoretical foundation for studying maritime human fatigue,and scenario analysis can provide an effective strategy for reducing crews'fatigue.
基金Supported by the National Natural Science Foun-dation of China(60173013)
文摘The general human factors analysis analyzes human functions,effects and influence in a system.But in a narrow sense,it analyzes human influence upon the reliability of a system,it includes traditional human reliability analysis,human error analysis,man-machine interface analysis,human character analysis,and others.A software development project in software engineering is successful or not to be completely determined by human factors.In this paper,we discuss the human factors intensions,declare the importance of human factors analysis for software engineering by listed some instances.At last,we probe preliminarily into the mentality that a practitioner in software engineering should possess.
基金The National Key R&D Program Projects(Grant No.2022YFC2803601)the Natural Science Foundation of Shandong Province(Grant No.ZR2021YQ29)+1 种基金the Natural Science Foundation of Heilongjiang Province(Grant No.YQ2024E036)the Taishan Scholars Project(Grant No.tsqn202312317).
文摘Autonomous Underwater Vehicles(AUVs)are pivotal for deep-sea exploration and resource exploitation,yet their reliability in extreme underwater environments remains a critical barrier to widespread deployment.Through systematic analysis of 150 peer-reviewed studies employing mixed-methods research,this review yields three principal advancements to the reliability analysis of AUVs.First,based on the hierarchical functional division of AUVs into six subsystems(propulsion system,navigation system,communication system,power system,environmental detection system,and emergency system),this study systematically identifies the primary failure modes and potential failure causes of each subsystem,providing theoretical support for fault diagnosis and reliability optimization.Subsequently,a comprehensive review of AUV reliability analysis methods is conducted from three perspectives:analytical methods,simulated methods,and surrogate model methods.The applicability and limitations of each method are critically analyzed to offer insights into their suitability for engineering applications.Finally,the study highlights key challenges and research hotpots in AUV reliability analysis,including reliability analysis under limited data,AI-driven reliability analysis,and human reliability analysis.Furthermore,the potential of multi-sensor data fusion,edge computing,and advanced materials in enhancing AUV environmental adaptability and reliability is explored.
文摘AIM:To investigate the correlation between human epidermal growth factor receptor(HER-2) protein expression and colorectal cancer(CRC) using a casecontrol study and meta-analysis.METHODS:Tumor tissue specimens from 162 CRC patients were selected for the case group.Fifty cases were randomly selected,and normal CRC tissue at least 10 cm away from the tumor margins of these cases was used to generate the control group.The expression of the HER-2 protein in the 162 CRC tissue samples and the 50 adjacent normal mucosa tissue samples was detected via immunohistochemistry.The experimental data were analyzed using SPSS 18.0software,and R software version 3.1.0 was utilized for further verification.RESULTS:The expression of HER-2 protein in the 162 CRC tissue samples was significantly higher than in the normal tissue specimens.The data showed that the expression of HER-2 in CRC was related to the Dukes' stage,the depth of invasion and lymph node metastasis.The HER-2-positive patients had lower 3-and 5-year OS rates than the HER-2-negative patients,but there was no significant difference.However,there was a statistically significant difference in the 3- and5-year disease-free survival(DFS) rates of HER-2-positive and HER-2-negative patients.The results of the meta-analysis showed that the expression of HER-2in CRC patients was statistically significantly increased over that of healthy people.The 3-year DFS rate in HER-2-positive patients was markedly lower than that in HER-2-negative patients.CONCLUSION:Down-regulation of HER-2 expression might be a dependable strategy for CRC therapy.
基金Supported by the National Natural Science Foundation of China (No. 30771781)the Natural Science Foundation of Guangdong Province (No.06022672)
文摘Objective To study the alternative expression and sequence of human elongation factor-1δ （human EF-1δ p31） during malignant transformation of human bronchial epithelial cells induced by cadmium chloride （CdCl2） and its possible mechanism. Methods Total RNA was isolated at different stages of transformed human bronchial epithelial cells （16HBE） induced by CdCl2 at a concentration of 5.0 μM. Special primers and probe for human EF-1δ p31 were designed and expression of human EF-18 mRNA from different cell lines was detected with fluorescent quantitative PCR technique. EF-18 cDNA from different cell lines was purified and cloned into pMD 18-T vector followed by confirming and sequencing analysis. Results The expressions of human EF-1δ p31 at different stages of 16HBE cells transformed by CdCl2 was elevated （P〈0.01 or P〈0.05）. Compared with their corresponding non-transformed ceils, the overexpression level of EF-15 p31 was averagely increased 2.9 folds in Cd-pretransformed cells, 4.3 folds in Cd-transformed ceils and 7.2 folds in Cd-tumorigenic cells. No change was found in the sequence of overexpressed EF-1δ p31 at different stages of 16HBE cells transformed by CdCl2. Conclusion Overexpression of human EF-1δ p31 is positively correlated with malignant transformation of 16HBE cells induced by CdCl2, but is not correlated with DNA mutations.
文摘Lanzhou Valley Basin is composed of two smaller diamond-shaped basins striking from NW to SE and including 6 river terraces. The lower terraces remaining even and smooth are main sites for city buildings. The main function of Lanzhou urban settlement is a ferry and transport centre. Lanzhou used to be an im-portant crossing site and post on the 'silk road',and then became a transport and trade centre in Northwest China. In the middle part of the 17th century, Lanzhou became the capital of Gansu,a new province. The development process of Lanzhou urban settlement indicates that urban settlement is a system consisting of natural environment and human society based on the former.
基金co-supported by the Program for Changjiang Scholars and Innovative Research Team in University of Ministry of Education of China (IRT0905)the Step Program of Beijing Key Laboratory (No. Z121104002812053)
文摘Human factors are critical causes of modern aviation accidents. However, existing accident analysis methods encounter limitations in addressing aviation human factors, especially in complex accident scenarios. The existing graphic approaches are effective for describing accident mechanisms within various categories of human factors, but cannot simultaneously describe inad- equate human-aircraft-environment interactions and organizational deficiencies effectively, and highly depend on analysts＇ skills and experiences. Moreover, the existing methods do not emphasize latent unsafe factors outside accidents. This paper focuses on the above three limitations and proposes an integrated graphi^taxonomic-associative approach. A new graphic model named accident tree （AceiTree）, with a two-mode structure and a reaction-based concept, is developed for accident modeling and safety defense identification. The AcciTree model is then integrated with the well-established human factors analysis and classification system （HFACS） to enhance both reliability of the graphic part and logicality of the taxonomic part for improving completeness of analysis. An associative hazard analysis technique is further put forward to extend analysis to fac- tors outside accidents, to form extended safety requirements for proactive accident prevention. Two crash examples, a research flight demonstrator by our team and an industrial unmanned aircraft, illustrate that the integrated approach is effective for identifying more unsafe factors and safety requirements.
文摘AIM: To identify the prognostic factors with regard to survival for patients with brain metastasis from primary tumors of the gastrointestinal tract. METHODS: Nine hundred and sixteen patients with brain metastases, treated with whole brain radiation therapy (WBRT) between January 1985 and December 2000 at the Department of Radiation Oncology, University Hospital Freiburg, were analyzed retrospectively. RESULTS: Fifty-seven patients presented with a primary tumor of the gastrointestinal tract (esophagus: n=0, stomach: n=10, colorectal: n=47). Twenty-six patients had a solitary brain metastasis, 31 patients presented with multiple brain metastases. Surgical resection was performed in 25 patients. WBRT was applied with daily fractions of 2 Gray (Gy) or 3Gy to a total dose of 50Gy or 30Gy, respectively. The interval between diagnoses of the primary tumors and brain metastases was 22.6mo vs 8.0mo for patients with primary tumors of the colon/rectum vs other primary tumors, respectively (P<0.01, log-rank). Median overall survival for all patients with brain metastases (n=916) was 3.4mo and 3.2mo for patients with gastrointestinal neoplasms. Patients with gastrointestinal primary tumors presented significantly more often with a solitary brain metastasis than patients with other primary tumors (P<0.05, log-rank). In patients with gastrointestinal neoplasms (n=57), the median overall survival was 5.8 mo for patients with solitary brain metastasis vs 2.7mo for patients with multiple brain metastases (P<0.01, log-rank). The median overall survival for patients with a Karnofsky performance status (KPS) ≥70 was 5.5mo vs 2.1mo for patients with KPS <70 (P<0.01, log-rank). At multivariate analysis (Cox Model) the performance status and the number of brain metastases were identified as independent prognostic factors for overall survival. CONCLUSION: Brain metastases occur late in the course of gastrointestinal tumors. Pretherapeutic variables like KPS and the number of brain metastases have a profound influence on treatment outcome.
基金National Natural Science Foundation of China (50538050), Science Foundation of Heilongjiang Province (ZJG03-03)
文摘The strength reduction factors are not only the key factors in determining seismic action for force-based seismic design, but also the key parameters to derive the inelastic response spectra for performance-based seismic design. In this paper, with a high quality ground motion database that includes a reasonable-sized set of records from China, a statistical study on the strength reduction factors is conducted and a new expression of strength reduction factors involving classification of design earthquake, which is an important concept to determine design spectra in Chinese seismic design code, is proposed. The expression of strength reduction factors can reflect the ground motion characteristics of China to a certain extent and is particularly suitable for Chinese seismic design. Then, the influence effects of site condition, classification of design earthquake, period of vibration, ductility level, earthquake magnitude and distance to fault on strength reduction factors are investigated. It is concluded that the effect of site condition on the strength reduction factors cannot be neglected, especially for the short-period structures of higher ductility. The classification of design earthquake also has an important effect on strength reduction factors and it may be unsuitable to use the existing expressions of strength reduction factors to the design spectra of current Chinese seismic code. The earthquake magnitude has no practical effect on strength reduction factors and if the near-fault records with forward directivity effect are not taken into consideration, the effect of distance to fault on strength reduction factors can also be neglected.
基金Supported by the Knowledge Innovation Program of the Chinese Academy of Sciences(KZCX2-YW-315-4)the National Key Project of Scientific and Technical Supporting Program(2007BAC03A01)+1 种基金the Foundation for Excellent Middle Age and Youth Innovation Team in Colleges and Universities of Hubei Province(T200708)the Natural Science Foundation of Hubei Province(2006BAB15B02)
文摘Change trend of cultivated land and construction land in Hubei Province is analyzed.The years 1998-2003 are the reduction period of cultivated land;the years 2004-2007 are the increase period of cultivated land;the years 1988-2002 are the slow growth period of construction land;and the years of 2003 and 2007 are the increase period of construction land.Based on related social economic statistical data in 1988-2007,human driving forces on cultivated land and construction land in Hubei Province are analyzed quantitatively and comparatively by using SPSS software and mathematical statistics method.Result shows that driving force factors have negative driving effect on cultivated land,and positive driving effect on construction land.Driving force factors have significant differences of driving effects on cultivated land and construction land.Three principal components affecting the changes of cultivated land and construction land are policy,population and economic development level,and gap between urban and rural living standards.The three principal components have different degrees of sensitivity on the two land use types and the effects direction are reverse.The other factor driving abilities are relatively weak,and these factors have relatively stronger driving force on construction land than that on cultivated land.It is put forward that Hubei Province should implement rational allocation of land resources and scientific and rational use in order to ensure land security and to realize the sustainable development of regional economy and society based on the intensive land use,the planning policy constraints,and the agricultural and industrial production.
基金supported by Beijing Innovation Team of Livestock Industry Technology System(BAIC05)National Center of Technology Innovation for Dairy(2023-QNRC-8)Beijing Capital Agribusiness&Foods Group Science and Technology Project.
文摘Human milk(HM)not only provides nutrients for infants but also produces volatile odors that can be perceived by newborns,influencing their dietary behavior,flavor learning,and food preferences.Meanwhile,the design of infant formula is gradually getting closer to HM in terms of nutrient composition rather than sensory performance.Volatile compounds in HM are produced upon lipid,protein,and carbohydrate degradation and via Maillard reactions.They primarily consist of fatty acids,terpenes,aldehydes,ketones,alcohols,furans,and pyrans.Moreover,the factors influencing HM flavors are critically involved in dietary intake,HM macronutrients,storage temperature,storage time,and sterilization conditions.This review aimed to summarize the formation,composition characteristics,influencing factors,and analytical techniques of HM odor by summarizing existing studies.Relevant conclusions can provide a theoretical basis for future research on the identification,evaluation,and simulation of HM flavor profiles.
基金supported by National Natural Science Foundation of China(No.81172110)National High Technology Research and Development Program(No. 2012AA 02A 504)+2 种基金Beijing Municipal Science & Technology Commission Program(No.Z11110706730000)Beijing Natural Science Foundation(7142034)China Postdoctoral Science Foundation(2013M530494)
文摘Background： A number of studies have examined human epidermal growth factor receptor 2 （HER2） status in primary gastric cancer （GC） and associated metastasis, some showed their great concordance in FIER2 expression, but others demonstrated notable discordance. There is still little consensus on HER2 discordance, therefore, a systematic review and meta-analysis was conducted to assess the status on HER2 discordance between primary GC and its paired metastasis. Methods： PubMed, EMBASE, ASCO and The Cochrane Library were searched for studies that explored the concordance between primary tumor and metastasis in patients with GC up to 10 March, 2014. Data of discordance of HER2 between primary GC and corresponding metastasis were extracted from the publications and random-effects models were used to estimate pooled discordance proportions. Results： Eighteen articles including 1,867 patients were included for the meta-analysis in accordance with the selection criteria. Pooled discordance proportions were 7% [95% confidence interval （CI）： 5-10%] for HER2 status. Pooled proportions of tumors shifting from positive to negative and from negative to positive were 17% （95% CI： 7-29%） and 4% （95% CI： 2-6%） respectively. No publication bias was found in the meta-analysis. Conclusions： The discordance of HER2 status is not rare in primary and metastatic GC through our metaanalysis. Prospective studies are needed to testify the clinical significance of the discordance of HER2 status.
文摘A human B cell line （3D5） that responds specifically to B cell growth factor （BCGF） hasbeen developed by a sequence of Staphylococcus aureus Cowen I activation,EB virus im-mortalization,and cloning.Proliferative response to PHA-stimulated T cell supernatant（PHA-T-Sup） and nonresponsiveness to rIL-2 stimulation were factors used to screen positivecells.Phenotype analysis with a flow cytometer indicated that:1) 3D5 is a B cell line:100% of the cells were positive for B1 marker and 59% were positive for sIg,while T3and Mo 1 were negative:2) 3D5 is an activated B cell line:both Tac and 4F2 markersof activated （but not of resting） B cells were 100% positive:3) 3D5 expresses high molecularweight BCGF （HMW-BCGF） receptor-associated epitope BA5.3D5 cells proliferated inresponse to cpBCGF stimulation in a dose-dependent manner.HMW-BCGF also induced3D5 cells to proliferate.Interestingly.no proliferation could be detected in the presenceof rIL-2,rIL-4,or rIFN-r.The data show that 3D5 cells are specifically BCGF-responsiveB cells.Using 3D5 cells as target,BCGF activity was detected in crude BCGF preparationsedimented by 85% （NH<sub>4</sub>）<sub>2</sub>SO<sub>4</sub> and chromatographed in a DEAE-Sephadex A-25 column fromPHA-T-Sup.T24 cell supernatant with B cell differentiation factor （BCDF） activity couldnot induce 3D5 cells to differentiate into immunoglobulin-secreting cells.
基金supported by Ford Motor Company Research and Innovation Center
文摘Driver state sensing technologies,such as vehicular systems,start to be widely considered by automotive manufacturers.To reduce the cost and minimize the intrusiveness towards driving,the majority of these systems rely on the in-cabin camera(s)and other optical sensors.With their great capabilities in detecting and intervening of driver distraction and inattention,these technologies may become key components in future vehicle safety and control systems.However,to the best of our knowledge,currently,there is no common standard available to objectively compare the performance of these technologies.Thus,it is imperative to develop one standardized process for evaluation purposes.In this paper,we propose one systematic and standardized evaluation process after successfully addressing three difficulties:1)defining and selecting the important influential individual and environmental factors,2)countering the effects of individual differences and randomness in driver behaviors,and 3)building a reliable in-vehicle driver head motion tracking tool to collect ground-truth motion data.We have collected data on a large scale on a commercial driver state-sensing platform.For each subject,30 to 40 minutes of head motion data was collected and included variables,such as lighting conditions,head/face features,and camera locations.The collected data was analyzed based on a proposed performance measure.The results show that the developed process can efficiently evaluate an individual camerabased driver state sensing product,which builds a common base for comparing the performance of different systems.
基金funding this work under the Research Group Funding Program Grant Code(NU/RG/SERC/12/6)supported via funding from Prince Satam bin Abdulaziz University Project Number(PSAU/2023/R/1444)+1 种基金Princess Nourah bint Abdulrahman University Researchers Supporting Project Number(PNURSP2023R348)Princess Nourah bint Abdulrahman University,Riyadh,Saudi Arabia,and this work was also supported by the Ministry of Science and ICT(MSIT),South Korea,through the ICT Creative Consilience Program supervised by the Institute for Information and Communications Technology Planning and Evaluation(IITP)under Grant IITP-2023-2020-0-01821.
文摘Human-human interaction recognition is crucial in computer vision fields like surveillance,human-computer interaction,and social robotics.It enhances systems’ability to interpret and respond to human behavior precisely.This research focuses on recognizing human interaction behaviors using a static image,which is challenging due to the complexity of diverse actions.The overall purpose of this study is to develop a robust and accurate system for human interaction recognition.This research presents a novel image-based human interaction recognition method using a Hidden Markov Model(HMM).The technique employs hue,saturation,and intensity(HSI)color transformation to enhance colors in video frames,making them more vibrant and visually appealing,especially in low-contrast or washed-out scenes.Gaussian filters reduce noise and smooth imperfections followed by silhouette extraction using a statistical method.Feature extraction uses the features from Accelerated Segment Test(FAST),Oriented FAST,and Rotated BRIEF(ORB)techniques.The application of Quadratic Discriminant Analysis(QDA)for feature fusion and discrimination enables high-dimensional data to be effectively analyzed,thus further enhancing the classification process.It ensures that the final features loaded into the HMM classifier accurately represent the relevant human activities.The impressive accuracy rates of 93%and 94.6%achieved in the BIT-Interaction and UT-Interaction datasets respectively,highlight the success and reliability of the proposed technique.The proposed approach addresses challenges in various domains by focusing on frame improvement,silhouette and feature extraction,feature fusion,and HMM classification.This enhances data quality,accuracy,adaptability,reliability,and reduction of errors.
文摘BACKGROUND Human immunodeficiency virus(HIV)infection is a major global public health concern.North African countries carry a disproportionate burden of HIV representing one of the highest rates in Africa.AIM To characterize the epidemiological and spatial trends of HIV infection in this region.METHODS A systematic review was carried out on all the published data regarding HIV/acquired immunodeficiency syndrome in North African countries over ten years(2008-2017)following the PRISMA guidelines.We performed a comprehensive literature search using Medline PubMed,Embase,regional and international databases,and country-level reports with no language restriction.The quality,quantity,and geographic coverage of the data were assessed at both the national and regional levels.We used random-effects methods,spatial variables,and stratified results by demographic factors.Only original data on the prevalence of HIV infection were included and independently evaluated by professional epidemiologists.RESULTS A total of 721 records were identified but only 41 that met the criteria were included in the meta-analysis.There was considerable variability in the prevalence estimates of HIV within the countries of the region.The overall prevalence of HIV ranged from 0.9%[95%confidence interval(CI)0.8-1.27]to 3.8%(95%CI 1.17-6.53).The highest prevalence was associated with vulnerable groups and particularly drug abusers and sexually promiscuous individuals.The dense HIV clustering noted varied from one country to another.At least 13 HIV subtypes and recombinant forms were prevalent in the region.Subtype B was the most common variant,followed by CRF02_AG.CONCLUSION This comprehensive review indicates that HIV infection in North African countries is an increasing threat.Effective national and regional strategies are needed to improve monitoring and control of HIV transmission,with particular emphasis on geographic variability and HIV clustering.
文摘This paper presents a comprehensive analysis of global human trafficking trends over a twenty-year period, leveraging a robust dataset from the Counter Trafficking Data Collaborative (CTDC). The study unfolds in a systematic manner, beginning with a detailed data collection phase, where ethical and legal standards for data usage and privacy are strictly observed. Following collection, the data undergoes a rigorous preprocessing stage, involving cleaning, integration, transformation, and normalization to ensure accuracy and consistency for analysis. The analytical phase employs time-series analysis to delineate historical trends and utilizes predictive modeling to forecast future trajectories of human trafficking using the advanced analytical capabilities of Power BI. A comparative analysis across regions—Africa, the Americas, Asia, and Europe—is conducted to identify and visualize the distribution of human trafficking, dissecting the data by victim demographics, types of exploitation, and duration of victimization. The findings of this study not only offer a descriptive and predictive outlook on trafficking patterns but also provide insights into the regional nuances that influence these trends. The article underscores the prevalence and persistence of human trafficking, identifies factors contributing to its evolution, and discusses the implications for policy and law enforcement. By integrating a methodological approach with quantitative analysis, this research contributes to the strategic planning and resource allocation for combating human trafficking. It highlights the necessity for continued research and international cooperation to effectively address and mitigate this global issue. The implications of this research are significant, offering actionable insights for policymakers, law enforcement, and advocates in the ongoing battle against human trafficking.
