This paper investigates the frequency-selective property of a planar layer consisting of period arrays both theoretically and experimentally for different polarizations at arbitrary incident angle. The novel element i...This paper investigates the frequency-selective property of a planar layer consisting of period arrays both theoretically and experimentally for different polarizations at arbitrary incident angle. The novel element is designed by loading the rectangular microstrip element with L-shaped conducting patch at its two ends. Based on the spectral-domain method, the frequency response including angle effect and polarization effect of the frequency selective surface （FSS） structure are analysed and the plots of the frequency versus transmission coefficient are obtained. As a result of the numerical analysis, it is shown that if the source polarization is changed, polarization-independence of previous FSS design can be achieved only for normal incidence, which limits most FSS applications. But in our proposed structure, the better polarization-independency for arbitrary incident angle can be achieved. It is observed that the simulated result comes very close to the experimental result.展开更多
1.Introduction As China’s first floating production platform in ultra-deepwater,the“Deep Sea No.1”energy station is a milestone in China’s deepwater resource utilization.The energy station is located in the LS17-2...1.Introduction As China’s first floating production platform in ultra-deepwater,the“Deep Sea No.1”energy station is a milestone in China’s deepwater resource utilization.The energy station is located in the LS17-2 gas field,150 km off the southeast coast of Hainan Island,China.It is a semi-submersible platform(Fig.1)with a displacement of 101 thousand tonnes and an operational draft of 35 to 40 m.The platform is permanently moored in 1422 m water by 16 chain-polyester-chain mooring lines in a 4×4 pattern,and six steel catenary risers(SCRs)are attached to the platform.It is the world’s first and only semi-submersible platform with the function of condensate storage,so it can be regarded as a floating production storage and offloading(FPSO)unit.With the ability to produce 3 billion m3 of natural gas each year(enough for over 10 million families),the Deep Sea No.1 energy station is a key step toward China’s energy independence.The LS17-2 gas field,where the Deep Sea No.1 energy station is located,was discovered in 2014.Plans for its development were made in 2015,followed by research and a preliminary design.Deep Sea No.1 went into operation on June 25,2021,and will operate onsite continuously without dry-docking for 30 years.展开更多
Distinct brain remodeling has been found after different nerve reconstruction strategies,including motor representation of the affected limb.However,differences among reconstruction strategies at the brain network lev...Distinct brain remodeling has been found after different nerve reconstruction strategies,including motor representation of the affected limb.However,differences among reconstruction strategies at the brain network level have not been elucidated.This study aimed to explore intranetwork changes related to altered peripheral neural pathways after different nerve reconstruction surgeries,including nerve repair,endto-end nerve transfer,and end-to-side nerve transfer.Sprague–Dawley rats underwent complete left brachial plexus transection and were divided into four equal groups of eight:no nerve repair,grafted nerve repair,phrenic nerve end-to-end transfer,and end-to-side transfer with a graft sutured to the anterior upper trunk.Resting-state brain functional magnetic resonance imaging was obtained 7 months after surgery.The independent component analysis algorithm was utilized to identify group-level network components of interest and extract resting-state functional connectivity values of each voxel within the component.Alterations in intra-network resting-state functional connectivity were compared among the groups.Target muscle reinnervation was assessed by behavioral observation(elbow flexion)and electromyography.The results showed that alterations in the sensorimotor and interoception networks were mostly related to changes in the peripheral neural pathway.Nerve repair was related to enhanced connectivity within the sensorimotor network,while end-to-side nerve transfer might be more beneficial for restoring control over the affected limb by the original motor representation.The thalamic-cortical pathway was enhanced within the interoception network after nerve repair and end-to-end nerve transfer.Brain areas related to cognition and emotion were enhanced after end-to-side nerve transfer.Our study revealed important brain networks related to different nerve reconstructions.These networks may be potential targets for enhancing motor recovery.展开更多
BACKGROUND Not all islet transplants desirably achieve insulin independence.This can be attributed to the microarchitecture and function of the islets influenced by their dimensions.Large islets enhance insulin secret...BACKGROUND Not all islet transplants desirably achieve insulin independence.This can be attributed to the microarchitecture and function of the islets influenced by their dimensions.Large islets enhance insulin secretion through paracrine effects but are more susceptible to hypoxic injury post-transplant,while small islets offer better viability and insulin independence.In vivo studies suggest large islets are essential for maintaining euglycemia,though smaller islets are typically preferred in transplantation for better outcomes.AIM To document the impact of islet dimension on clinical and preclinical transplant outcomes to optimize procedures.METHODS PubMed,Scopus and EMBASE platforms were searched for relevant literature up to 9 April 2024.Articles reported on either glucose-stimulated insulin-secreting(GSIS)capacity,islet viability and engraftment,or insulin independence based on the islet dimension were included.The risk of bias was measured using the Appraisal Tool for Cross-Sectional Studies.Extracted data was analyzed via a narrative synthesis.RESULTS Nineteen studies were included in the review.A total of sixteen studies reported the GSIS,of which nine documented the increased insulin secretion in the small islet,where the majority reported insulin secretion per islet equivalent(IEQ).Seven studies documented increased GSIS in large-sized islets that measure insulin secretion per cell or islet.All the articles that compared small and large islets reported poor viability and engraftment of large islets.CONCLUSION Small islets with a diameter<125μm have desired transplantation outcomes due to their better survival following isolation.Large-sized islets receive blood supply directly from arterioles in vivo to meet their higher metabolic demands.The large islet undergoes central necrosis soon after the isolation(devascularization);failing to maintain the viability and glucose stimuli leads to a decline in GSIS and the overall function of the islet.Improved preservation of large islets after islet isolation,enhances the islet yield(IEQ),thereby reducing the likelihood of failed islet isolation and potentially improves transplant outcome.展开更多
In the context of China’s rapidly evolving capital market,the proliferation of listed companies has been a salient phenomenon.The quality of corporate governance has emerged as a pivotal factor in determining the suc...In the context of China’s rapidly evolving capital market,the proliferation of listed companies has been a salient phenomenon.The quality of corporate governance has emerged as a pivotal factor in determining the success or failure of these entities.Research by Balsmeier et al.(2022)indicates that the greater the independence of a listed company’s board of directors,the higher its innovation output(both in terms of quantity and quality of patents)^([1]).This finding suggests a strong correlation between the performance of a company and the independence of its board.The present study has selected listed companies on the A-share market of the Shanghai Stock Exchange in 2013 as the subjects of its research.A sample of 960 companies was initially obtained from the CSMAR database.Following a rigorous financial data screening,a final sample of 944 valid companies was retained for further analysis.展开更多
In the heart of Antananarivo,Madagascar’s sundrenched capital,Joseph Andrinirina flashes a nervous smile as he inspects a faulty car engine at the start of another day of work at his garage.“Since I started this bus...In the heart of Antananarivo,Madagascar’s sundrenched capital,Joseph Andrinirina flashes a nervous smile as he inspects a faulty car engine at the start of another day of work at his garage.“Since I started this business six months ago,I enjoy being my own boss.I now earn a steady income,support my family,and provide jobs for others,”he told ChinAfrica.展开更多
Independent cascade(IC)models,by simulating how one node can activate another,are important tools for studying the dynamics of information spreading in complex networks.However,traditional algorithms for the IC model ...Independent cascade(IC)models,by simulating how one node can activate another,are important tools for studying the dynamics of information spreading in complex networks.However,traditional algorithms for the IC model implementation face significant efficiency bottlenecks when dealing with large-scale networks and multi-round simulations.To settle this problem,this study introduces a GPU-based parallel independent cascade(GPIC)algorithm,featuring an optimized representation of the network data structure and parallel task scheduling strategies.Specifically,for this GPIC algorithm,we propose a network data structure tailored for GPU processing,thereby enhancing the computational efficiency and the scalability of the IC model.In addition,we design a parallel framework that utilizes the full potential of GPU's parallel processing capabilities,thereby augmenting the computational efficiency.The results from our simulation experiments demonstrate that GPIC not only preserves accuracy but also significantly boosts efficiency,achieving a speedup factor of 129 when compared to the baseline IC method.Our experiments also reveal that when using GPIC for the independent cascade simulation,100-200 simulation rounds are sufficient for higher-cost studies,while high precision studies benefit from 500 rounds to ensure reliable results,providing empirical guidance for applying this new algorithm to practical research.展开更多
Fear,as a type of psychological state and negative emotion,represents a common reflex towards the presence or imminence of danger.Clinically,fear-related disorders such as panic disorder and anxiety disorder can lead ...Fear,as a type of psychological state and negative emotion,represents a common reflex towards the presence or imminence of danger.Clinically,fear-related disorders such as panic disorder and anxiety disorder can lead to impaired psychological and physiological conditions.Elucidating the neural basis of fear is of particular importance in developing targeted therapies.It is currently well-established that the amygdala plays a pivotal role in mediating various expressions of fear[1].However,silencing or inhibiting the amygdala only partially reduces fear-related behaviors[2],leading scientists to guess whether there exists an amygdalaindependent alternative neural pathway that conveys fear.Excitingly,a very recent elegant study published in Nature Neuroscience by Wang et al.from Zhejiang University has addressed this question.They present a tetra-synaptic forebrain-to-hindbrain pathway that is responsible for odordriven innate fear and anxiety(Fig.1)[3].展开更多
A new book urges leaders and intellectuals in the Global South to think for themselves,and to build systems that work for them rather than importing them from elsewhere A s the unipolar world goes through rupture,with...A new book urges leaders and intellectuals in the Global South to think for themselves,and to build systems that work for them rather than importing them from elsewhere A s the unipolar world goes through rupture,with national discontents like slow growth and de-industrialisation,coun-tries are searching for pathways out of the deadlock.This is true of the Global South countries as much as it is for the Global North.In the latter.展开更多
Developing innovative capabilities in university students is essential for individual career success and broader societal advancement.This study introduces a predictive Feature Selection(FS)model named bWRBA-SVM-FS,wh...Developing innovative capabilities in university students is essential for individual career success and broader societal advancement.This study introduces a predictive Feature Selection(FS)model named bWRBA-SVM-FS,which combines an enhanced Bat Algorithm(BA)and Support Vector Machine(SVM).To enhance the optimization capability of BA,water follow search and random follow search are introduced to optimize the efficiency and accuracy of the feature subset search.Experimental validation conducted on the IEEE CEC 2017 benchmark functions and the talented innovative capacity dataset demonstrates the efficacy of the proposed method relative to peer and prominent machine learning models.The experimental results reveal that the predictive accuracy of the bWRBA-SVM-FS model is 97.503%,with a sensitivity of 98.391%.Our findings indicate significant predictors of innovation capacity,including project application goals,educational background,and interdisciplinary thinking abilities.The bWRBA-SVM-FS model offers effective strategies for talent selection in higher education,fostering the development of future research leaders.展开更多
Zhao et al’s investigation on the assessment of inflammatory markers prognostic value for relapse-free survival in patients with gastrointestinal stromal tumor(GIST)using a nomogram-based approach is a scientific app...Zhao et al’s investigation on the assessment of inflammatory markers prognostic value for relapse-free survival in patients with gastrointestinal stromal tumor(GIST)using a nomogram-based approach is a scientific approach.This study explored the potential of an inflammatory marker-based nomograph model,highlighting the relapse-free survival-associated risk factors prognostic potential in patients with GIST.The author assessed 124 samples from patients with GIST to find an association between inflammatory markers and tumor size in a retrospective study using multivariate regression analysis.Further,a nomogram model was developed to identify the independent risk factors for the prognosis.GIST clinical treatment can use preoperative monocyte/lymphocyte ratio and platelet/lymphocyte ratio for relapse-free survival prognosis as independent factors.展开更多
The research on fault diagnosis based on multi-source information fusion technology aims to comprehensively integrate the diagnostic information of complex mechanical and electrical equipment,providing a scientific an...The research on fault diagnosis based on multi-source information fusion technology aims to comprehensively integrate the diagnostic information of complex mechanical and electrical equipment,providing a scientific and precise decision-making basis for decision-makers.However,in diagnostic practice,issues such as the impact of component replacement,rule combination explosion,and information redundancy have become research difficulties.To address these challenges,this paper innovatively combines equipment mechanisms with expert knowledge to build an optimized model that considers the impact of component replacement based on the traditional Belief Rule Base(BRB-h).Meanwhile,under the framework of traditional independent component analysis,this paper proposes an Independent Component Analysis(ICA)method that considers Expert knowledge(ICA-E).Furthermore,to quantify the impact of component replacement on equipment performance,this paper delves into the transparency and traceability of replacement impact factors and conducts a sensitivity analysis.Through empirical case studies,the advancement and practicability of this new method in the field of fault diagnosis are verified.展开更多
Objective:To analyze the value of continuous care for patients with hypertensive intracerebral hemorrhage(HICH).Methods:A total of 80 patients with HICH who visited our hospital from January 2024 to December 2024 were...Objective:To analyze the value of continuous care for patients with hypertensive intracerebral hemorrhage(HICH).Methods:A total of 80 patients with HICH who visited our hospital from January 2024 to December 2024 were selected as samples and randomly divided into two groups.The observation group received continuous care,while the control group received routine care.The Functional Independence Measure(FIM),Symptom Checklist-90(SCL-90),and complications were compared between the two groups.Results:The FIM score of the observation group was higher than that of the control group(P<0.05).The SCL-90 score of the observation group was lower than that of the control group(P<0.05).The incidence of HICH complications in the observation group was lower than that in the control group(P<0.05).Conclusion:The application of continuous care in HICH nursing can enhance patients’independent living skills outside the hospital,optimize their psychosocial adaptation,and is safe and efficient.展开更多
In 1987,Alavi,Malde,Schwenk and Erdős conjectured that the independence polynomial of any tree or forest is unimodal.Although many researchers have been attracted by it,it is still open.Inspired by this conjecture,in ...In 1987,Alavi,Malde,Schwenk and Erdős conjectured that the independence polynomial of any tree or forest is unimodal.Although many researchers have been attracted by it,it is still open.Inspired by this conjecture,in this paper,we prove that rooted products of some trees preserve real-rootedness of independence polynomials.In particular,we can obtain that their independence polynomials are unimodal and log-concave.展开更多
During the train meeting events,train equipment compartments are exposed to the worst pressure changes,potentially affecting the ventilation performance of equipment,particularly for electrical facilities equipped wit...During the train meeting events,train equipment compartments are exposed to the worst pressure changes,potentially affecting the ventilation performance of equipment,particularly for electrical facilities equipped with independent air ducts.In this paper,a two-step method is used for numerical computation:(1)obtaining the temporal and spatial transient node data of the flow field sections during the train-passing simulation and(2)using the data as the input data for the equipment compartment simulation.In addition,this paper also compares the difference in equipment ventilation between the single-train and trainpassing scenarios in real vehicle tests.The results indicate that the primary factors influencing ventilation effectiveness are the aerodynamic compression and deceleration of airflow induced by the other train's nose,as well as the instability of the external flow field in the wake of the other train.During train crossing,the air is forced into the air duct,with a maximum ratio of the airflow in-duct to the airflow out-duct reaching 3.2.The average mass flow falls below the rated mass flow for the converter.Compared to the rated air volume of converter,the maximum suppression rates obtained from testing and simulation are-24.5%and-16.8%,respectively.Compared to the single-train operation,the maximum suppression rates obtained from testing and simulation are-15%and-18%,respectively.These findings provide valuable insights into the design and operation of high-speed trains.展开更多
Purpose–This paper conducts a joint analysis of monitoring data in the hidden danger areas of railway subgrade deformation using a data-driven method,thereby realizing the systematic risk identification of regional h...Purpose–This paper conducts a joint analysis of monitoring data in the hidden danger areas of railway subgrade deformation using a data-driven method,thereby realizing the systematic risk identification of regional hidden dangers.Design/methodology/approach–The paper proposes a regional systematic risk identification method based on Bayesian and independent component analysis(ICA)theories.Firstly,the Gray Wolf Optimization(GWO)algorithm is used to partition each group of monitoring data in the hidden danger area,so that the data distribution characteristics within each sub-block are similar.Then,a distributed ICA early warning model is constructed to obtain prior knowledge such as control limits and statistics of the area under normal conditions.For the online evaluation process,the input data is partitioned following the above-mentioned procedure and the ICA statistics of each sub-block are calculated.The Bayesian method is applied to fuse online parameters with offline parameters,yielding statistics under a specific confidence interval.These statistics are then compared with the control limits–specifically,checking whether they exceed the pre-set confidence parameters–thus realizing the systematic risk identification of the hidden danger area.Findings–Through simulation experiments,the proposed method can integrate prior knowledge such as control limits and statistics to effectively determine the overall stability status of the area,thereby realizing the systematic risk identification of the hidden danger area.Originality/value–The proposed method leverages Bayesian theory to fuse online process parameters with offline parameters and further compares them with confidence parameters,thereby effectively enhancing the utilization efficiency of monitoring data and the robustness of the analytical model.展开更多
The 19th century was a significant period for feminine literature.Louisa May Alcott,a representative female writer of the time,created numerous romance novels.Her masterpiece Little Women follows the growth experience...The 19th century was a significant period for feminine literature.Louisa May Alcott,a representative female writer of the time,created numerous romance novels.Her masterpiece Little Women follows the growth experiences of the four March sisters and illustrates their the pursuit of independence under family education.This paper will analyze how family education impacts the characters’growth and explore the formation of female independence.展开更多
BACKGROUND Celiac disease(CeD),an autoimmune disorder triggered by gluten ingestion,is characterized by non-specific clinical manifestations such as fatigue,abdominal pain,and nutritional deficiencies,often leading to...BACKGROUND Celiac disease(CeD),an autoimmune disorder triggered by gluten ingestion,is characterized by non-specific clinical manifestations such as fatigue,abdominal pain,and nutritional deficiencies,often leading to substantial diagnostic delays.Prolonged delays(≥2 years from symptom onset)are associated with increased risks of complications like osteoporosis,small intestinal lymphoma,and reduced quality of life.AIM To estimate diagnostic delay prevalence and identify risk factors in Chinese CeD patients.METHODS We reviewed clinical records of 166 patients diagnosed with CeD from 2017 onward.Patient-attributed delays were measured from symptom onset to first consultation,while physician-related delays were measured from initial visit to diagnosis/treatment.Data on demographics,symptoms,time from onset to diagnosis,and laboratory results were analyzed.Logistic regression models were used to identify associations,while restricted cubic splines explored nonlinearities.Mediation analysis assessed the roles of intermediate factors in delayed diagnosis.RESULTS Delayed diagnosis(over 2 years from symptom onset)was observed in 42.2%of patients.Patients with diagnostic delay exceeding 5 years accounted for 18.7%.The mean interval from symptom onset to the first medical visit was 12.32 months,with an average of 20.57 months from the first visit to diagnosis.The time from first consultation to diagnosis significantly increased with prolonged delay(P<0.001).Multivariate analysis showed that blood urea nitrogen(BUN)was an independent risk factor(OR=1.29,95%CI:1.01–1.65,P=0.038).A nonlinear association was observed between BUN and delayed diagnosis,with a threshold of 4.3 mmol/L;the risk significantly increased above this threshold(OR=1.39,P=0.04).Subgroup analyses indicated that the risk effect of BUN was stronger in females,non-classical CeD patients,Kazak ethnic group members,individuals without vitamin D deficiency/anemia,and those with MarshⅢpathology(all P<0.05).Mediation analysis revealed that folic acid deficiency and anemia mediated 11.9%(P=0.028)and 13.0%(P=0.044)of the effect of BUN on diagnostic delay,respectively.CONCLUSION Elevated BUN levels are independent predictors of diagnostic delay in CeD,with heterogeneity observed across gender,disease subtype,ethnicity,and pathological type.Clinicians should prioritize high-risk populations with BUN≥4.3 mmol/L,particularly female patients with non-classical CeD and Kazak individuals,to reduce diagnostic delay.展开更多
The publisher regrets to inform that in the article of Advanced Powder Materials 4(2025)100261,the published Figs.3 and 5 belong to the initially submitted version,which should be replaced by the final version.The dif...The publisher regrets to inform that in the article of Advanced Powder Materials 4(2025)100261,the published Figs.3 and 5 belong to the initially submitted version,which should be replaced by the final version.The differences between the initial and final versions of these figures are described below.展开更多
Global mortality rates are greatly impacted by malignancies of the brain and nervous system.Although,Magnetic Resonance Imaging(MRI)plays a pivotal role in detecting brain tumors;however,manual assessment is time-cons...Global mortality rates are greatly impacted by malignancies of the brain and nervous system.Although,Magnetic Resonance Imaging(MRI)plays a pivotal role in detecting brain tumors;however,manual assessment is time-consuming and susceptible to human error.To address this,we introduce ICA2-SVM,an advanced computational framework integrating Independent Component Analysis Architecture-2(ICA2)and Support Vector Machine(SVM)for automated tumor segmentation and classification.ICA2 is utilized for image preprocessing and optimization,enhancing MRI consistency and contrast.The Fast-MarchingMethod(FMM)is employed to delineate tumor regions,followed by SVM for precise classification.Validation on the Contrast-Enhanced Magnetic Resonance Imaging(CEMRI)dataset demonstrates the superior performance of ICA2-SVM,achieving a Dice Similarity Coefficient(DSC)of 0.974,accuracy of 0.992,specificity of 0.99,and sensitivity of 0.99.Additionally,themodel surpasses existing approaches in computational efficiency,completing analysis within 0.41 s.By integrating state-of-the-art computational techniques,ICA2-SVM advances biomedical imaging,offering a highly accurate and efficient solution for brain tumor detection.Future research aims to incorporate multi-physics modeling and diverse classifiers to further enhance the adaptability and applicability of brain tumor diagnostic systems.展开更多
基金supported by the National Defense Innovation Foundation of Chinese Academy of Sciences (Grant No CXJJ-149)
文摘This paper investigates the frequency-selective property of a planar layer consisting of period arrays both theoretically and experimentally for different polarizations at arbitrary incident angle. The novel element is designed by loading the rectangular microstrip element with L-shaped conducting patch at its two ends. Based on the spectral-domain method, the frequency response including angle effect and polarization effect of the frequency selective surface （FSS） structure are analysed and the plots of the frequency versus transmission coefficient are obtained. As a result of the numerical analysis, it is shown that if the source polarization is changed, polarization-independence of previous FSS design can be achieved only for normal incidence, which limits most FSS applications. But in our proposed structure, the better polarization-independency for arbitrary incident angle can be achieved. It is observed that the simulated result comes very close to the experimental result.
文摘1.Introduction As China’s first floating production platform in ultra-deepwater,the“Deep Sea No.1”energy station is a milestone in China’s deepwater resource utilization.The energy station is located in the LS17-2 gas field,150 km off the southeast coast of Hainan Island,China.It is a semi-submersible platform(Fig.1)with a displacement of 101 thousand tonnes and an operational draft of 35 to 40 m.The platform is permanently moored in 1422 m water by 16 chain-polyester-chain mooring lines in a 4×4 pattern,and six steel catenary risers(SCRs)are attached to the platform.It is the world’s first and only semi-submersible platform with the function of condensate storage,so it can be regarded as a floating production storage and offloading(FPSO)unit.With the ability to produce 3 billion m3 of natural gas each year(enough for over 10 million families),the Deep Sea No.1 energy station is a key step toward China’s energy independence.The LS17-2 gas field,where the Deep Sea No.1 energy station is located,was discovered in 2014.Plans for its development were made in 2015,followed by research and a preliminary design.Deep Sea No.1 went into operation on June 25,2021,and will operate onsite continuously without dry-docking for 30 years.
基金supported by the National Natural Science Foundation of China,Nos.81871836(to MZ),82172554(to XH),and 81802249(to XH),81902301(to JW)the National Key R&D Program of China,Nos.2018YFC2001600(to JX)and 2018YFC2001604(to JX)+3 种基金Shanghai Rising Star Program,No.19QA1409000(to MZ)Shanghai Municipal Commission of Health and Family Planning,No.2018YQ02(to MZ)Shanghai Youth Top Talent Development PlanShanghai“Rising Stars of Medical Talent”Youth Development Program,No.RY411.19.01.10(to XH)。
文摘Distinct brain remodeling has been found after different nerve reconstruction strategies,including motor representation of the affected limb.However,differences among reconstruction strategies at the brain network level have not been elucidated.This study aimed to explore intranetwork changes related to altered peripheral neural pathways after different nerve reconstruction surgeries,including nerve repair,endto-end nerve transfer,and end-to-side nerve transfer.Sprague–Dawley rats underwent complete left brachial plexus transection and were divided into four equal groups of eight:no nerve repair,grafted nerve repair,phrenic nerve end-to-end transfer,and end-to-side transfer with a graft sutured to the anterior upper trunk.Resting-state brain functional magnetic resonance imaging was obtained 7 months after surgery.The independent component analysis algorithm was utilized to identify group-level network components of interest and extract resting-state functional connectivity values of each voxel within the component.Alterations in intra-network resting-state functional connectivity were compared among the groups.Target muscle reinnervation was assessed by behavioral observation(elbow flexion)and electromyography.The results showed that alterations in the sensorimotor and interoception networks were mostly related to changes in the peripheral neural pathway.Nerve repair was related to enhanced connectivity within the sensorimotor network,while end-to-side nerve transfer might be more beneficial for restoring control over the affected limb by the original motor representation.The thalamic-cortical pathway was enhanced within the interoception network after nerve repair and end-to-end nerve transfer.Brain areas related to cognition and emotion were enhanced after end-to-side nerve transfer.Our study revealed important brain networks related to different nerve reconstructions.These networks may be potential targets for enhancing motor recovery.
文摘BACKGROUND Not all islet transplants desirably achieve insulin independence.This can be attributed to the microarchitecture and function of the islets influenced by their dimensions.Large islets enhance insulin secretion through paracrine effects but are more susceptible to hypoxic injury post-transplant,while small islets offer better viability and insulin independence.In vivo studies suggest large islets are essential for maintaining euglycemia,though smaller islets are typically preferred in transplantation for better outcomes.AIM To document the impact of islet dimension on clinical and preclinical transplant outcomes to optimize procedures.METHODS PubMed,Scopus and EMBASE platforms were searched for relevant literature up to 9 April 2024.Articles reported on either glucose-stimulated insulin-secreting(GSIS)capacity,islet viability and engraftment,or insulin independence based on the islet dimension were included.The risk of bias was measured using the Appraisal Tool for Cross-Sectional Studies.Extracted data was analyzed via a narrative synthesis.RESULTS Nineteen studies were included in the review.A total of sixteen studies reported the GSIS,of which nine documented the increased insulin secretion in the small islet,where the majority reported insulin secretion per islet equivalent(IEQ).Seven studies documented increased GSIS in large-sized islets that measure insulin secretion per cell or islet.All the articles that compared small and large islets reported poor viability and engraftment of large islets.CONCLUSION Small islets with a diameter<125μm have desired transplantation outcomes due to their better survival following isolation.Large-sized islets receive blood supply directly from arterioles in vivo to meet their higher metabolic demands.The large islet undergoes central necrosis soon after the isolation(devascularization);failing to maintain the viability and glucose stimuli leads to a decline in GSIS and the overall function of the islet.Improved preservation of large islets after islet isolation,enhances the islet yield(IEQ),thereby reducing the likelihood of failed islet isolation and potentially improves transplant outcome.
文摘In the context of China’s rapidly evolving capital market,the proliferation of listed companies has been a salient phenomenon.The quality of corporate governance has emerged as a pivotal factor in determining the success or failure of these entities.Research by Balsmeier et al.(2022)indicates that the greater the independence of a listed company’s board of directors,the higher its innovation output(both in terms of quantity and quality of patents)^([1]).This finding suggests a strong correlation between the performance of a company and the independence of its board.The present study has selected listed companies on the A-share market of the Shanghai Stock Exchange in 2013 as the subjects of its research.A sample of 960 companies was initially obtained from the CSMAR database.Following a rigorous financial data screening,a final sample of 944 valid companies was retained for further analysis.
文摘In the heart of Antananarivo,Madagascar’s sundrenched capital,Joseph Andrinirina flashes a nervous smile as he inspects a faulty car engine at the start of another day of work at his garage.“Since I started this business six months ago,I enjoy being my own boss.I now earn a steady income,support my family,and provide jobs for others,”he told ChinAfrica.
基金support from the National Natural Science Foundation of China(Grant No.T2293771)the STI 2030-Major Projects(Grant No.2022ZD0211400)the Sichuan Province Outstanding Young Scientists Foundation(Grant No.2023NSFSC1919)。
文摘Independent cascade(IC)models,by simulating how one node can activate another,are important tools for studying the dynamics of information spreading in complex networks.However,traditional algorithms for the IC model implementation face significant efficiency bottlenecks when dealing with large-scale networks and multi-round simulations.To settle this problem,this study introduces a GPU-based parallel independent cascade(GPIC)algorithm,featuring an optimized representation of the network data structure and parallel task scheduling strategies.Specifically,for this GPIC algorithm,we propose a network data structure tailored for GPU processing,thereby enhancing the computational efficiency and the scalability of the IC model.In addition,we design a parallel framework that utilizes the full potential of GPU's parallel processing capabilities,thereby augmenting the computational efficiency.The results from our simulation experiments demonstrate that GPIC not only preserves accuracy but also significantly boosts efficiency,achieving a speedup factor of 129 when compared to the baseline IC method.Our experiments also reveal that when using GPIC for the independent cascade simulation,100-200 simulation rounds are sufficient for higher-cost studies,while high precision studies benefit from 500 rounds to ensure reliable results,providing empirical guidance for applying this new algorithm to practical research.
基金supported by grants from the National Key R&D Program of China(2021ZD0202803)the National Natural Science Foundation of China(U21A20418).
文摘Fear,as a type of psychological state and negative emotion,represents a common reflex towards the presence or imminence of danger.Clinically,fear-related disorders such as panic disorder and anxiety disorder can lead to impaired psychological and physiological conditions.Elucidating the neural basis of fear is of particular importance in developing targeted therapies.It is currently well-established that the amygdala plays a pivotal role in mediating various expressions of fear[1].However,silencing or inhibiting the amygdala only partially reduces fear-related behaviors[2],leading scientists to guess whether there exists an amygdalaindependent alternative neural pathway that conveys fear.Excitingly,a very recent elegant study published in Nature Neuroscience by Wang et al.from Zhejiang University has addressed this question.They present a tetra-synaptic forebrain-to-hindbrain pathway that is responsible for odordriven innate fear and anxiety(Fig.1)[3].
文摘A new book urges leaders and intellectuals in the Global South to think for themselves,and to build systems that work for them rather than importing them from elsewhere A s the unipolar world goes through rupture,with national discontents like slow growth and de-industrialisation,coun-tries are searching for pathways out of the deadlock.This is true of the Global South countries as much as it is for the Global North.In the latter.
基金supported by the Zhejiang Province 14th Five Year Plan Teaching Reform Project(jg20220514).
文摘Developing innovative capabilities in university students is essential for individual career success and broader societal advancement.This study introduces a predictive Feature Selection(FS)model named bWRBA-SVM-FS,which combines an enhanced Bat Algorithm(BA)and Support Vector Machine(SVM).To enhance the optimization capability of BA,water follow search and random follow search are introduced to optimize the efficiency and accuracy of the feature subset search.Experimental validation conducted on the IEEE CEC 2017 benchmark functions and the talented innovative capacity dataset demonstrates the efficacy of the proposed method relative to peer and prominent machine learning models.The experimental results reveal that the predictive accuracy of the bWRBA-SVM-FS model is 97.503%,with a sensitivity of 98.391%.Our findings indicate significant predictors of innovation capacity,including project application goals,educational background,and interdisciplinary thinking abilities.The bWRBA-SVM-FS model offers effective strategies for talent selection in higher education,fostering the development of future research leaders.
文摘Zhao et al’s investigation on the assessment of inflammatory markers prognostic value for relapse-free survival in patients with gastrointestinal stromal tumor(GIST)using a nomogram-based approach is a scientific approach.This study explored the potential of an inflammatory marker-based nomograph model,highlighting the relapse-free survival-associated risk factors prognostic potential in patients with GIST.The author assessed 124 samples from patients with GIST to find an association between inflammatory markers and tumor size in a retrospective study using multivariate regression analysis.Further,a nomogram model was developed to identify the independent risk factors for the prognosis.GIST clinical treatment can use preoperative monocyte/lymphocyte ratio and platelet/lymphocyte ratio for relapse-free survival prognosis as independent factors.
基金co-supported by the National Natural Science Foundation of China(Nos.62273354,61673387,62227814,62203461,62203365)Shaanxi Provincial Science and Technology Innovation Team,China(No.2022TD-24)+2 种基金China Postdoctoral Science Foundation(No.2023M742843)Young Talent Promotion Program of Shaanxi Association for Science and Technology,China(Nos.20220121,20230125)Natural Science Basic Research Program of Shaanxi,China(No.2022JQ-580).
文摘The research on fault diagnosis based on multi-source information fusion technology aims to comprehensively integrate the diagnostic information of complex mechanical and electrical equipment,providing a scientific and precise decision-making basis for decision-makers.However,in diagnostic practice,issues such as the impact of component replacement,rule combination explosion,and information redundancy have become research difficulties.To address these challenges,this paper innovatively combines equipment mechanisms with expert knowledge to build an optimized model that considers the impact of component replacement based on the traditional Belief Rule Base(BRB-h).Meanwhile,under the framework of traditional independent component analysis,this paper proposes an Independent Component Analysis(ICA)method that considers Expert knowledge(ICA-E).Furthermore,to quantify the impact of component replacement on equipment performance,this paper delves into the transparency and traceability of replacement impact factors and conducts a sensitivity analysis.Through empirical case studies,the advancement and practicability of this new method in the field of fault diagnosis are verified.
文摘Objective:To analyze the value of continuous care for patients with hypertensive intracerebral hemorrhage(HICH).Methods:A total of 80 patients with HICH who visited our hospital from January 2024 to December 2024 were selected as samples and randomly divided into two groups.The observation group received continuous care,while the control group received routine care.The Functional Independence Measure(FIM),Symptom Checklist-90(SCL-90),and complications were compared between the two groups.Results:The FIM score of the observation group was higher than that of the control group(P<0.05).The SCL-90 score of the observation group was lower than that of the control group(P<0.05).The incidence of HICH complications in the observation group was lower than that in the control group(P<0.05).Conclusion:The application of continuous care in HICH nursing can enhance patients’independent living skills outside the hospital,optimize their psychosocial adaptation,and is safe and efficient.
基金supported by the National Natural Science Foundation of China(No.12271527)。
文摘In 1987,Alavi,Malde,Schwenk and Erdős conjectured that the independence polynomial of any tree or forest is unimodal.Although many researchers have been attracted by it,it is still open.Inspired by this conjecture,in this paper,we prove that rooted products of some trees preserve real-rootedness of independence polynomials.In particular,we can obtain that their independence polynomials are unimodal and log-concave.
基金support by Technology R&D Program of China State Railway Group Co.,Ltd(Grant number N2022J013)the Hunan Provincial Innovation Foundation for Postgraduate(Grant number CX20220279)+1 种基金the Fundamental Research Funds for the Central Universities of Central South University(Grant number 2022ZZTS0193)China Scholarship Council(202106370112)。
文摘During the train meeting events,train equipment compartments are exposed to the worst pressure changes,potentially affecting the ventilation performance of equipment,particularly for electrical facilities equipped with independent air ducts.In this paper,a two-step method is used for numerical computation:(1)obtaining the temporal and spatial transient node data of the flow field sections during the train-passing simulation and(2)using the data as the input data for the equipment compartment simulation.In addition,this paper also compares the difference in equipment ventilation between the single-train and trainpassing scenarios in real vehicle tests.The results indicate that the primary factors influencing ventilation effectiveness are the aerodynamic compression and deceleration of airflow induced by the other train's nose,as well as the instability of the external flow field in the wake of the other train.During train crossing,the air is forced into the air duct,with a maximum ratio of the airflow in-duct to the airflow out-duct reaching 3.2.The average mass flow falls below the rated mass flow for the converter.Compared to the rated air volume of converter,the maximum suppression rates obtained from testing and simulation are-24.5%and-16.8%,respectively.Compared to the single-train operation,the maximum suppression rates obtained from testing and simulation are-15%and-18%,respectively.These findings provide valuable insights into the design and operation of high-speed trains.
基金supported by Science and Technology Research and Development Program Project of China State Railway Group Co.,Ltd.(award number:K2024X010).
文摘Purpose–This paper conducts a joint analysis of monitoring data in the hidden danger areas of railway subgrade deformation using a data-driven method,thereby realizing the systematic risk identification of regional hidden dangers.Design/methodology/approach–The paper proposes a regional systematic risk identification method based on Bayesian and independent component analysis(ICA)theories.Firstly,the Gray Wolf Optimization(GWO)algorithm is used to partition each group of monitoring data in the hidden danger area,so that the data distribution characteristics within each sub-block are similar.Then,a distributed ICA early warning model is constructed to obtain prior knowledge such as control limits and statistics of the area under normal conditions.For the online evaluation process,the input data is partitioned following the above-mentioned procedure and the ICA statistics of each sub-block are calculated.The Bayesian method is applied to fuse online parameters with offline parameters,yielding statistics under a specific confidence interval.These statistics are then compared with the control limits–specifically,checking whether they exceed the pre-set confidence parameters–thus realizing the systematic risk identification of the hidden danger area.Findings–Through simulation experiments,the proposed method can integrate prior knowledge such as control limits and statistics to effectively determine the overall stability status of the area,thereby realizing the systematic risk identification of the hidden danger area.Originality/value–The proposed method leverages Bayesian theory to fuse online process parameters with offline parameters and further compares them with confidence parameters,thereby effectively enhancing the utilization efficiency of monitoring data and the robustness of the analytical model.
文摘The 19th century was a significant period for feminine literature.Louisa May Alcott,a representative female writer of the time,created numerous romance novels.Her masterpiece Little Women follows the growth experiences of the four March sisters and illustrates their the pursuit of independence under family education.This paper will analyze how family education impacts the characters’growth and explore the formation of female independence.
基金Supported by Natural Science Foundation of the Xinjiang AutSupported by Natural Science Foundation of the Xinjiang Autonomous Region,No.2023D01C76Central Government Guide Local Science and Technology Development Special Fund Project,No.ZYYD2024JD1。
文摘BACKGROUND Celiac disease(CeD),an autoimmune disorder triggered by gluten ingestion,is characterized by non-specific clinical manifestations such as fatigue,abdominal pain,and nutritional deficiencies,often leading to substantial diagnostic delays.Prolonged delays(≥2 years from symptom onset)are associated with increased risks of complications like osteoporosis,small intestinal lymphoma,and reduced quality of life.AIM To estimate diagnostic delay prevalence and identify risk factors in Chinese CeD patients.METHODS We reviewed clinical records of 166 patients diagnosed with CeD from 2017 onward.Patient-attributed delays were measured from symptom onset to first consultation,while physician-related delays were measured from initial visit to diagnosis/treatment.Data on demographics,symptoms,time from onset to diagnosis,and laboratory results were analyzed.Logistic regression models were used to identify associations,while restricted cubic splines explored nonlinearities.Mediation analysis assessed the roles of intermediate factors in delayed diagnosis.RESULTS Delayed diagnosis(over 2 years from symptom onset)was observed in 42.2%of patients.Patients with diagnostic delay exceeding 5 years accounted for 18.7%.The mean interval from symptom onset to the first medical visit was 12.32 months,with an average of 20.57 months from the first visit to diagnosis.The time from first consultation to diagnosis significantly increased with prolonged delay(P<0.001).Multivariate analysis showed that blood urea nitrogen(BUN)was an independent risk factor(OR=1.29,95%CI:1.01–1.65,P=0.038).A nonlinear association was observed between BUN and delayed diagnosis,with a threshold of 4.3 mmol/L;the risk significantly increased above this threshold(OR=1.39,P=0.04).Subgroup analyses indicated that the risk effect of BUN was stronger in females,non-classical CeD patients,Kazak ethnic group members,individuals without vitamin D deficiency/anemia,and those with MarshⅢpathology(all P<0.05).Mediation analysis revealed that folic acid deficiency and anemia mediated 11.9%(P=0.028)and 13.0%(P=0.044)of the effect of BUN on diagnostic delay,respectively.CONCLUSION Elevated BUN levels are independent predictors of diagnostic delay in CeD,with heterogeneity observed across gender,disease subtype,ethnicity,and pathological type.Clinicians should prioritize high-risk populations with BUN≥4.3 mmol/L,particularly female patients with non-classical CeD and Kazak individuals,to reduce diagnostic delay.
文摘The publisher regrets to inform that in the article of Advanced Powder Materials 4(2025)100261,the published Figs.3 and 5 belong to the initially submitted version,which should be replaced by the final version.The differences between the initial and final versions of these figures are described below.
基金supported by the Deanship of Graduate Studies and Scientific Research at Najran University through funding code NU/GP/MRC/13/771-1.
文摘Global mortality rates are greatly impacted by malignancies of the brain and nervous system.Although,Magnetic Resonance Imaging(MRI)plays a pivotal role in detecting brain tumors;however,manual assessment is time-consuming and susceptible to human error.To address this,we introduce ICA2-SVM,an advanced computational framework integrating Independent Component Analysis Architecture-2(ICA2)and Support Vector Machine(SVM)for automated tumor segmentation and classification.ICA2 is utilized for image preprocessing and optimization,enhancing MRI consistency and contrast.The Fast-MarchingMethod(FMM)is employed to delineate tumor regions,followed by SVM for precise classification.Validation on the Contrast-Enhanced Magnetic Resonance Imaging(CEMRI)dataset demonstrates the superior performance of ICA2-SVM,achieving a Dice Similarity Coefficient(DSC)of 0.974,accuracy of 0.992,specificity of 0.99,and sensitivity of 0.99.Additionally,themodel surpasses existing approaches in computational efficiency,completing analysis within 0.41 s.By integrating state-of-the-art computational techniques,ICA2-SVM advances biomedical imaging,offering a highly accurate and efficient solution for brain tumor detection.Future research aims to incorporate multi-physics modeling and diverse classifiers to further enhance the adaptability and applicability of brain tumor diagnostic systems.
