Activation of neutrophil membrane receptors initiates intracellular signal transduction cascades that orchestrate the cell's effector functions,including phagocytosis,production of reactive oxygen and halogen spec...Activation of neutrophil membrane receptors initiates intracellular signal transduction cascades that orchestrate the cell's effector functions,including phagocytosis,production of reactive oxygen and halogen species,degranulation,and NETosis(formation of neutrophil extracellular traps[NETs]).NETs,which contain antimicrobial compounds such as myeloperoxidase(MPO),represent a strategy to combat infection.However,excessive production of NETs promotes thrombosis,diabetes mellitus,and other diseases.Therefore,investigations into the mechanisms of NETosis and the identification of modulators of this process are critical for developing strategies to address NETosis-related disorders.Here,we identified a novel NETosis inducer,human serum albumin(HSA)modified by the MPO product hypochlorous acid(HSAHOCl),whose accumulation in vivo was correlated with inflammatory processes.Using human blood neutrophils,we investigated HSAHOCl-induced NETosis and detected NET formation by flow cytometry.The results showed that the mechanism of HSAHOClinduced NETosis involved MPO,NADPH oxidase,and phosphatidylinositol 3-kinases(PI3Ks),and that HSAHOCl activated a reactive oxygen species-dependent suicidal type of NETosis.Moreover,HSAHOCl-induced NETosis was inhibited by an anti-HSAHOCl monoclonal antibody.Thus,our findings may facilitate the development of strategies to modulate NETosis in inflammation associated with elevated MPO activity.展开更多
Food Science and Human Wellness(FSHW ISSN:2213-4530,CN 10-1750/TS)publishes original research papers demonstrating the latest advancement of multidisci plinary subjects related to food science and human health Topics ...Food Science and Human Wellness(FSHW ISSN:2213-4530,CN 10-1750/TS)publishes original research papers demonstrating the latest advancement of multidisci plinary subjects related to food science and human health Topics may include but not limited to:nutriology,bio.chemistry,microbiology,immunology and toxicology.展开更多
Lip synchronization serves as a core technology for enabling natural interactions in digital virtual humans.However,it faces challenges such as insufficient dynamic correspondence between speech and lip movements and ...Lip synchronization serves as a core technology for enabling natural interactions in digital virtual humans.However,it faces challenges such as insufficient dynamic correspondence between speech and lip movements and inadequate modeling of image details.To address these limitations,a comprehensively optimized lip synchronization framework extending the Wav2Lip architecture was proposed in this study.Firstly,based on the Wav2Lip model,a facial region extraction strategy using facial keypoints was designed,which effectively enhances the robustness of facial alignment during lip synchronization for digital virtual humans.Then,a cross-modal attention fusion module between visual and speech features was introduced to improve cross-modal information fusion,and a dynamic receptive field convolution module was developed in the generation branch to enhance the modeling performance of the lip region.Finally,experiments were conducted on the VFHQ dataset.The proposed method was compared with Wav2Lip,VideoRetalking,and DI-Net models,and its performance was evaluated using three metrics:LSE-C,CSIM,and FID.Experimental results showed that the proposed method achieves significant improvements in synchronization accuracy and image fidelity,providing an efficient and feasible solution for lip-synthesis tasks of digital virtual humans.展开更多
Food Science and Human Wellness (FSHW ISSN:2213-4530, CN 10-1750/TS) publishes original research papers demonstrating the latest advancement of multidisciplinary subjects related to food science and human health.Topic...Food Science and Human Wellness (FSHW ISSN:2213-4530, CN 10-1750/TS) publishes original research papers demonstrating the latest advancement of multidisciplinary subjects related to food science and human health.Topics may include but not limited to: nutriology, biochemistry, microbiology, immunology and toxicology.展开更多
The brain is the most complex human organ,and commonly used models,such as two-dimensional-cell cultures and animal brains,often lack the sophistication needed to accurately use in research.In this context,human cereb...The brain is the most complex human organ,and commonly used models,such as two-dimensional-cell cultures and animal brains,often lack the sophistication needed to accurately use in research.In this context,human cerebral organoids have emerged as valuable tools offering a more complex,versatile,and human-relevant system than traditional animal models,which are often unable to replicate the intricate architecture and functionality of the human brain.Since human cerebral organoids are a state-of-the-art model for the study of neurodevelopment and different pathologies affecting the brain,this field is currently under constant development,and work in this area is abundant.In this review,we give a complete overview of human cerebral organoids technology,starting from the different types of protocols that exist to generate different human cerebral organoids.We continue with the use of brain organoids for the study of brain pathologies,highlighting neurodevelopmental,psychiatric,neurodegenerative,brain tumor,and infectious diseases.Because of the potential value of human cerebral organoids,we describe their use in transplantation,drug screening,and toxicology assays.We also discuss the technologies available to study cell diversity and physiological characteristics of organoids.Finally,we summarize the limitations that currently exist in the field,such as the development of vasculature and microglia,and highlight some of the novel approaches being pursued through bioengineering.展开更多
In the human spinal cord,astrocytes are the major glial cells.In vitro studies of human astrocytes are relatively simple.However,the straightforward nature of the in vitro environment and complex nature of the in vivo...In the human spinal cord,astrocytes are the major glial cells.In vitro studies of human astrocytes are relatively simple.However,the straightforward nature of the in vitro environment and complex nature of the in vivo environment limit comprehensive investigations into the structure and function of human astrocytes.Additionally,in vivo studies of human astrocytes are further limited by ethical issues.This means there is an urgent need to develop effective in vivo models to study the structure and function of human astrocytes.Here,we first directed human embryonic stem cells to differentiate into human spinal cord dorsal neural stem/progenitor cells in vitro,before transplanting these cells into the gray matter of the cervical spinal cord(C5-T2 segments)of naïve nude rats to create a chimeric human astrocytic rat spinal cord model.The transplanted human spinal cord dorsal neural stem/progenitor cells survived for at least 20 months in the spinal cord environment of the rats,with over 90%differentiating into human astrocytes.These human astrocytes were able to migrate caudally for long distances along the white matter towards the spinal cord.They expressed astrocytic cytoskeletal proteins and functionally-related proteins,suggesting their maturation and structural integration into the rat spinal cord.Thus,this humanized astrocyte chimeric rat spinal cord model provides a valuable tool for studying the role of human spinal cord astrocytes in various spinal diseases.展开更多
The temporal pole(TP),one of the most expanded cortical regions in humans relative to other primates,plays a crucial role in human language processing.It is also one of the most structurally and functionally asymmetri...The temporal pole(TP),one of the most expanded cortical regions in humans relative to other primates,plays a crucial role in human language processing.It is also one of the most structurally and functionally asymmetric regions.However,whether the functional architecture of the TP is shared by humans and macaques is an open question.We used spectral clustering algorithms to define a cross-species fine-grained TP atlas with different anatomical connectivity patterns.We identified three similar subregions,two ventral and one dorsal,within the TP in both humans and macaques.The parcellation scheme for the TP was validated using functional gradient mapping,anatomical connectivity and resting-state functional connectivity pattern analysis,and functional characterization.Furthermore,in conjunction with the Allen Human Brain Atlas,we revealed the molecular basis for the functional connectivity patterns of each human TP subregion.In addition,we compared the hemispheric asymmetry in mean gray matter volume,anatomical connectivity fingerprints,and whole brain functional connectivity patterns to reveal the evolutionary differences in the TP and found different asymmetric patterns between humans and macaques.In conclusion,our findings reveal that the asymmetry in structure and connectivity may underpin the hemispheric functional specialization of the brain and provide a novel insight into understanding the evolutionary origin of the TP.展开更多
The number and diversity of inhibitory neurons(INs)increased substantially during mammalian brain evolution.However,the generative mechanisms of the vast repertoire of human INs remain elusive.We performed spatial and...The number and diversity of inhibitory neurons(INs)increased substantially during mammalian brain evolution.However,the generative mechanisms of the vast repertoire of human INs remain elusive.We performed spatial and single-cell transcriptomics of human medial ganglionic eminence(hMGE),a pivotal source of cortical and subpallial INs,and built the trajectories of hMGE-derived cells during brain development.We identified spatiotemporally and molecularly segregated progenitor cell populations fated to produce distinct IN types.展开更多
Human spinal cord organoids(hSCOs)offer a promising platform to study neurotrauma by addressing many limitations of traditional research models.These organoids provide access to human-specific physiological and geneti...Human spinal cord organoids(hSCOs)offer a promising platform to study neurotrauma by addressing many limitations of traditional research models.These organoids provide access to human-specific physiological and genetic mechanisms and can be derived from an individual's somatic cells(e.g.,blood or skin).This enables patient-specific paradigms for precision neurotrauma research,pa rticula rly relevant to the over 300,000 people in the United States living with chronic effects of spinal cord injury(SCI).展开更多
With the growing advancement of wireless communication technologies,WiFi-based human sensing has gained increasing attention as a non-intrusive and device-free solution.Among the available signal types,Channel State I...With the growing advancement of wireless communication technologies,WiFi-based human sensing has gained increasing attention as a non-intrusive and device-free solution.Among the available signal types,Channel State Information(CSI)offers fine-grained temporal,frequency,and spatial insights into multipath propagation,making it a crucial data source for human-centric sensing.Recently,the integration of deep learning has significantly improved the robustness and automation of feature extraction from CSI in complex environments.This paper provides a comprehensive review of deep learning-enhanced human sensing based on CSI.We first outline mainstream CSI acquisition tools and their hardware specifications,then provide a detailed discussion of preprocessing methods such as denoising,time–frequency transformation,data segmentation,and augmentation.Subsequently,we categorize deep learning approaches according to sensing tasks—namely detection,localization,and recognition—and highlight representative models across application scenarios.Finally,we examine key challenges including domain generalization,multi-user interference,and limited data availability,and we propose future research directions involving lightweight model deployment,multimodal data fusion,and semantic-level sensing.展开更多
I was 26 the first time I travelled to China,and even now,it feels like an unexpected chapter in my life.The opportunity came out of the blue.I learned,just a month before departure,that I had been selected for a one-...I was 26 the first time I travelled to China,and even now,it feels like an unexpected chapter in my life.The opportunity came out of the blue.I learned,just a month before departure,that I had been selected for a one-month professional training programme.The news ignited a wave of excitement.For nearly two weeks,I stayed up late into the night,imagining a country I had never seen,trying to picture what China might really be like,beyond the images in books,films and media.展开更多
In a world growing ever more cruel and violent as nihilism becomes generalized,a world in which the disintegration of the human assumes dimensions that threaten its very cohesion,the demand for the humanization of the...In a world growing ever more cruel and violent as nihilism becomes generalized,a world in which the disintegration of the human assumes dimensions that threaten its very cohesion,the demand for the humanization of the Western individual asserts itself as an urgent historical task.Among the institutions implicated in this process,education assumes a central role,as it is within it that wonder and critical thinking are gradually eliminated,together with the demand for shared deliberation,coherent meaning,and the tragic dimension of human existence,while an education of cruelty comes to permeate it from end to end.In order to prevent the full entrenchment of evil in the social world,from which only destruction can be expected,a decisive role could be played by caring thinking that would be coordinated with corresponding action and would come to deeply characterize the educational institution.Such a form of thinking was proposed in the second half of the twentieth century and took flesh and bones within the framework of the Philosophy for Children movement.Its contemporary application within educational practice could reactivate phronesis(practical wisdom)and contribute to enabling the Western human being to re-create themselves as a democratic human being-one who desires the creation of a world of freedom,equality,and justice,and who acts accordingly to bring it about:the creation of a compassionate and prudent world,the preservation of which would be the responsibility of all.展开更多
Human Activity Recognition(HAR)is a novel area for computer vision.It has a great impact on healthcare,smart environments,and surveillance while is able to automatically detect human behavior.It plays a vital role in ...Human Activity Recognition(HAR)is a novel area for computer vision.It has a great impact on healthcare,smart environments,and surveillance while is able to automatically detect human behavior.It plays a vital role in many applications,such as smart home,healthcare,human computer interaction,sports analysis,and especially,intelligent surveillance.In this paper,we propose a robust and efficient HAR system by leveraging deep learning paradigms,including pre-trained models,CNN architectures,and their average-weighted fusion.However,due to the diversity of human actions and various environmental influences,as well as a lack of data and resources,achieving high recognition accuracy remain elusive.In this work,a weighted average ensemble technique is employed to fuse three deep learning models:EfficientNet,ResNet50,and a custom CNN.The results of this study indicate that using a weighted average ensemble strategy for developing more effective HAR models may be a promising idea for detection and classification of human activities.Experiments by using the benchmark dataset proved that the proposed weighted ensemble approach outperformed existing approaches in terms of accuracy and other key performance measures.The combined average-weighted ensemble of pre-trained and CNN models obtained an accuracy of 98%,compared to 97%,96%,and 95%for the customized CNN,EfficientNet,and ResNet50 models,respectively.展开更多
In the evolving global economy,China’s Outward Foreign Direct Investment(OFDI)holds increasing significance,specially within the context of the Belt and Road Initiative(BRI).Despite earlier studies have acknowledged ...In the evolving global economy,China’s Outward Foreign Direct Investment(OFDI)holds increasing significance,specially within the context of the Belt and Road Initiative(BRI).Despite earlier studies have acknowledged the role of governance quality in at-tracting Chinese OFDI,their explanatory capacity regarding human development has not received sufficient attention.This study ad-dresses this gap,investigating the relationship between Chinese OFDI and human development,emphasizing the governance quality’s moderating role.Using data from 122 BRI countries from 2004 to 2021,we employed the Panel Corrected Standard Error model through Prais-Winsten regression,complimented by robustness check via the Spatial Durbin Model.Our analysis revealed a significant positive relationship between Chinese OFDI and human development in BRI countries,indicating that Chinese investments act as cata-lysts for improved well-being.More importantly,governance quality plays a vital role in shaping this relationship,revealing that effect-ive governance enhanced the human development outcomes of OFDI.Post-hoc analysis of governance indicators,both as a composite index and individual dimensions,supported this finding.Regional heterogeneity analysis further showed that Chinese OFDI has stronger effects on Human Development Index(HDI)in Asia and Africa compared to Europe,Latin America,and Oceania.However,the moder-ating effect of governance quality seemed more prominent in Oceania and Latin America,indicating its role in fostering the benefits of Chinese investments in these regions.These findings hold implications for academia and policy,emphasizing the need for transparent,accountable,and effective governance to drive sustainable and inclusive human development within the BRI framework.展开更多
In fire rescue scenarios,traditional manual operations are highly dangerous,as dense smoke,low visibility,extreme heat,and toxic gases not only hinder rescue efficiency but also endanger firefighters’safety.Although ...In fire rescue scenarios,traditional manual operations are highly dangerous,as dense smoke,low visibility,extreme heat,and toxic gases not only hinder rescue efficiency but also endanger firefighters’safety.Although intelligent rescue robots can enter hazardous environments in place of humans,smoke poses major challenges for human detection algorithms.These challenges include the attenuation of visible and infrared signals,complex thermal fields,and interference frombackground objects,all ofwhichmake it difficult to accurately identify trapped individuals.To address this problem,we propose VIF-YOLO,a visible–infrared fusion model for real-time human detection in dense smoke environments.The framework introduces a lightweight multimodal fusion(LMF)module based on learnable low-rank representation blocks to end-to-end integrate visible and infrared images,preserving fine details while enhancing salient features.In addition,an efficient multiscale attention(EMA)mechanism is incorporated into the YOLOv10n backbone to improve feature representation under low-light conditions.Extensive experiments on our newly constructedmultimodal smoke human detection(MSHD)dataset demonstrate thatVIF-YOLOachievesmAP50 of 99.5%,precision of 99.2%,and recall of 99.3%,outperforming YOLOv10n by a clear margin.Furthermore,when deployed on the NVIDIA Jetson Xavier NX,VIF-YOLO attains 40.6 FPS with an average inference latency of 24.6 ms,validating its real-time capability on edge-computing platforms.These results confirm that VIF-YOLO provides accurate,robust,and fast detection across complex backgrounds and diverse smoke conditions,ensuring reliable and rapid localization of individuals in need of rescue.展开更多
Understanding the impacts of human activities on the plateau’s living environment is essential for advancing modernization pathways that promote harmony between humanity and nature.However,studies on the dynamic inte...Understanding the impacts of human activities on the plateau’s living environment is essential for advancing modernization pathways that promote harmony between humanity and nature.However,studies on the dynamic interactions between human activities and the living environment on the Qinghai-Xizang Plateau(QXP)remain limited,with a paucity of quantitative relationship analyses.This study established an assessment framework to evaluate human influences on the living environment in QXP,using data on typical human activities,ecological conditions,and human settlements.Within this framework,the spatial analysis methods and the coupling coordination model were used to examine the spatio-temporal characteristics and relationship of human activities and living environment on the QXP from 2000 to 2020.The geographical detector model was then applied to identify the key factors influencing the plateau’s human living environment.Subsequently,the four-quadrant analysis model was adopted to assess human influences on the living environment.The results indicate that the human activity intensity(HAI)on the QXP remained relatively low yet increased by 15.41%from 2000 to 2020.Spatially,the human living environment quality(LEQ)improved from northwest to southeast,with 61.14%of the areas remaining stable and 18.47%experiencing slight improvement.The analysis of coupling coordination revealed a continuous improvement between the HAI and LEQ,with the areas of high and relatively high coordinated types increasing by more than 9%.Precipitation and urban-rural construction were identified as the primary factors influencing changes in the LEQ.The interaction between the HAI and LEQ was strengthening,with 40.44%classified as coordinated development type and 38.35%as development-environment conflict type.These findings provide valuable insights for enhancing the resilience of human settlements and promoting green development across the plateau.展开更多
The rapid progress of human organoid toolkits presents unprecedented opportunities in disease modeling,drug discovery,and personalized therapy,alongside profound bioethical challenges and concerns.On April 29th,2025,C...The rapid progress of human organoid toolkits presents unprecedented opportunities in disease modeling,drug discovery,and personalized therapy,alongside profound bioethical challenges and concerns.On April 29th,2025,China’s National Science and Technology Ethics Committee(Life Science Ethics Subcommittee)issued the Human Organoid Research Ethical Guidelines[1],establishing the world’s first comprehensive governance framework,especially focusing on brain organoids,embryo models,and chimeric research.This Guidelines represent a pioneering governance model in emerging biotechnology.This commentary offers an in-depth analysis to examine the policy’s innovative three-tiered structure,contrast it with current global regulatory standards,evaluate its domestic impacts as well as potential implications for international biotechnology governance,and provide recommendations for future directions.展开更多
Prevention of biological invasion requires understanding how alien species invade native communities.Although studies have identified mechanisms that underlie plant invasion in some habitats,limited attention has focu...Prevention of biological invasion requires understanding how alien species invade native communities.Although studies have identified mechanisms that underlie plant invasion in some habitats,limited attention has focused on invasion patterns along elevational gradients.In this study,we asked which factors drive the global and regional distribution of the invasive plant Galinsoga quadriradiata along elevational gradients.To answer this question,we examined whether human activities(i.e.,roads)promote G.quadriradiata invasion,how seed dispersal-related traits of G.quadriradiata change along elevation gradients,and whether G.quadriradiata has adapted to high-elevation environments through phenotypic plasticity or genetic variation.On the global scale,we found that human activities and road density positively contribute to the G.quadriradiata expansion in mountainous areas.Field surveys in China revealed significant elevational differences in the seed dispersal traits of G.quadriradiata,with higher-elevation populations exhibiting lower dispersal ability and generally lower genetic diversity.Under common conditions,high-elevation populations showed higher leaf mass ratio but lower root mass ratio and reproductive allocation.This suggests that high-elevation environments create a barrier to dispersal for G.quadriradiata,and that G.quadriradiata has adapted phenotypically to these conditions.Our study indicates that the elevational invasion pattern of G.quadriradiata is shaped by multiple factors,particularly human activities and phenotypic adaptability.In addition,our finding that G.quadriradiata invasion at high elevations is not constrained by low genetic diversity indicates that monitoring and management of G.quadriradiata in mountainous areas should be strengthened.展开更多
Human activity recognition(HAR)is a method to predict human activities from sensor signals using machine learning(ML)techniques.HAR systems have several applications in various domains,including medicine,surveillance,...Human activity recognition(HAR)is a method to predict human activities from sensor signals using machine learning(ML)techniques.HAR systems have several applications in various domains,including medicine,surveillance,behavioral monitoring,and posture analysis.Extraction of suitable information from sensor data is an important part of the HAR process to recognize activities accurately.Several research studies on HAR have utilizedMel frequency cepstral coefficients(MFCCs)because of their effectiveness in capturing the periodic pattern of sensor signals.However,existing MFCC-based approaches often fail to capture sufficient temporal variability,which limits their ability to distinguish between complex or imbalanced activity classes robustly.To address this gap,this study proposes a feature fusion strategy that merges time-based and MFCC features(MFCCT)to enhance activity representation.The merged features were fed to a convolutional neural network(CNN)integrated with long shortterm memory(LSTM)—DeepConvLSTM to construct the HAR model.The MFCCT features with DeepConvLSTM achieved better performance as compared to MFCCs and time-based features on PAMAP2,UCI-HAR,and WISDM by obtaining an accuracy of 97%,98%,and 97%,respectively.In addition,DeepConvLSTM outperformed the deep learning(DL)algorithms that have recently been employed in HAR.These results confirm that the proposed hybrid features are not only practical but also generalizable,making them applicable across diverse HAR datasets for accurate activity classification.展开更多
Background:Cardiorespiratory fitness(CRF)is a powerful predictor of mortality and chronic disease risk,yet global patterns and determinants of CRF remain poorly defined,particularly in females and underrepresented pop...Background:Cardiorespiratory fitness(CRF)is a powerful predictor of mortality and chronic disease risk,yet global patterns and determinants of CRF remain poorly defined,particularly in females and underrepresented populations.We conducted a systematic review and quantitative synthesis of directly measured peak oxygen uptake(VO_(2peak))internationally and examined its association with human development and gender ine quality.Methods:Studies were eligible if VO_(2peak)was assessed via direct gas analysis during maximal exercise testing,and if the countries had scores for the Human Development Index(HDI)and Gender Inequality Index(GII).Studies were identified through MEDLINE/PubMed,Embase,CINAHL,and Web of Science.Risks of bias were assessed by an adaptation of the Newcastle-Ottawa Scale.Multivariable linear regression models examined associations between VO_(2peak),age,sex,exercise modality,HDI,GII,and study year.Results:Data included 95 studies from 24 countries with HDI and GII scores,comprising 119,435 adults(42%females)with VO_(2peak)assessed via direct gas analysis during maximal exercise testing.The risk of bias was low.VO_(2peak)was positively associated with HDI(β=14.1)and negatively associated with GII(β=-3.6).Slightly stronger associations were observed in females than males(HDI:β=18.9 vs.β=13.9,GII:β=-4.6vs.β=-3.6).Young females in middle-HDI countries had higher VO_(2peak)than those in low-HDI countries(31.2mL/kg/min vs.28.5 mL/kg/min),with limited additional gams in high-HDI contexts.VO_(2peak)decreased with higher gender inequality,with the largest disparities observed in young females between high-and low-GII countries(26.3 mL/kg/min vs.32.8 mL/kg/min).Conclusion:Global variation in CRF is tied to national levels of human development and gender equality.These findings support prioritizing structural and policy-level interventions that address social and gender disparities in physical activity access and health promotion.Studies from countries with lower HDI and information on ethnicity and socioeconomic status will bridge crucial gaps in understanding factors involved in global CRF levels.展开更多
文摘Activation of neutrophil membrane receptors initiates intracellular signal transduction cascades that orchestrate the cell's effector functions,including phagocytosis,production of reactive oxygen and halogen species,degranulation,and NETosis(formation of neutrophil extracellular traps[NETs]).NETs,which contain antimicrobial compounds such as myeloperoxidase(MPO),represent a strategy to combat infection.However,excessive production of NETs promotes thrombosis,diabetes mellitus,and other diseases.Therefore,investigations into the mechanisms of NETosis and the identification of modulators of this process are critical for developing strategies to address NETosis-related disorders.Here,we identified a novel NETosis inducer,human serum albumin(HSA)modified by the MPO product hypochlorous acid(HSAHOCl),whose accumulation in vivo was correlated with inflammatory processes.Using human blood neutrophils,we investigated HSAHOCl-induced NETosis and detected NET formation by flow cytometry.The results showed that the mechanism of HSAHOClinduced NETosis involved MPO,NADPH oxidase,and phosphatidylinositol 3-kinases(PI3Ks),and that HSAHOCl activated a reactive oxygen species-dependent suicidal type of NETosis.Moreover,HSAHOCl-induced NETosis was inhibited by an anti-HSAHOCl monoclonal antibody.Thus,our findings may facilitate the development of strategies to modulate NETosis in inflammation associated with elevated MPO activity.
文摘Food Science and Human Wellness(FSHW ISSN:2213-4530,CN 10-1750/TS)publishes original research papers demonstrating the latest advancement of multidisci plinary subjects related to food science and human health Topics may include but not limited to:nutriology,bio.chemistry,microbiology,immunology and toxicology.
文摘Lip synchronization serves as a core technology for enabling natural interactions in digital virtual humans.However,it faces challenges such as insufficient dynamic correspondence between speech and lip movements and inadequate modeling of image details.To address these limitations,a comprehensively optimized lip synchronization framework extending the Wav2Lip architecture was proposed in this study.Firstly,based on the Wav2Lip model,a facial region extraction strategy using facial keypoints was designed,which effectively enhances the robustness of facial alignment during lip synchronization for digital virtual humans.Then,a cross-modal attention fusion module between visual and speech features was introduced to improve cross-modal information fusion,and a dynamic receptive field convolution module was developed in the generation branch to enhance the modeling performance of the lip region.Finally,experiments were conducted on the VFHQ dataset.The proposed method was compared with Wav2Lip,VideoRetalking,and DI-Net models,and its performance was evaluated using three metrics:LSE-C,CSIM,and FID.Experimental results showed that the proposed method achieves significant improvements in synchronization accuracy and image fidelity,providing an efficient and feasible solution for lip-synthesis tasks of digital virtual humans.
文摘Food Science and Human Wellness (FSHW ISSN:2213-4530, CN 10-1750/TS) publishes original research papers demonstrating the latest advancement of multidisciplinary subjects related to food science and human health.Topics may include but not limited to: nutriology, biochemistry, microbiology, immunology and toxicology.
基金supported by the Grant PID2021-126715OB-IOO financed by MCIN/AEI/10.13039/501100011033 and"ERDFA way of making Europe"by the Grant PI22CⅢ/00055 funded by Instituto de Salud CarlosⅢ(ISCⅢ)+6 种基金the UFIECPY 398/19(PEJ2018-004965) grant to RGS funded by AEI(Spain)the UFIECPY-396/19(PEJ2018-004961)grant financed by MCIN (Spain)FI23CⅢ/00003 grant funded by ISCⅢ-PFIS Spain) to PMMthe UFIECPY 328/22 (PEJ-2021-TL/BMD-21001) grant to LM financed by CAM (Spain)the grant by CAPES (Coordination for the Improvement of Higher Education Personnel)through the PDSE program (Programa de Doutorado Sanduiche no Exterior)to VSCG financed by MEC (Brazil)
文摘The brain is the most complex human organ,and commonly used models,such as two-dimensional-cell cultures and animal brains,often lack the sophistication needed to accurately use in research.In this context,human cerebral organoids have emerged as valuable tools offering a more complex,versatile,and human-relevant system than traditional animal models,which are often unable to replicate the intricate architecture and functionality of the human brain.Since human cerebral organoids are a state-of-the-art model for the study of neurodevelopment and different pathologies affecting the brain,this field is currently under constant development,and work in this area is abundant.In this review,we give a complete overview of human cerebral organoids technology,starting from the different types of protocols that exist to generate different human cerebral organoids.We continue with the use of brain organoids for the study of brain pathologies,highlighting neurodevelopmental,psychiatric,neurodegenerative,brain tumor,and infectious diseases.Because of the potential value of human cerebral organoids,we describe their use in transplantation,drug screening,and toxicology assays.We also discuss the technologies available to study cell diversity and physiological characteristics of organoids.Finally,we summarize the limitations that currently exist in the field,such as the development of vasculature and microglia,and highlight some of the novel approaches being pursued through bioengineering.
基金Ministry of Science and Technology of China(STI2030-Major Projects),No.2022ZD0204700(to WW)the National Natural Science Foundation of China,No.82301572(to XZ)China Postdoctoral Science Foundation,No.2023M731202(to XZ).
文摘In the human spinal cord,astrocytes are the major glial cells.In vitro studies of human astrocytes are relatively simple.However,the straightforward nature of the in vitro environment and complex nature of the in vivo environment limit comprehensive investigations into the structure and function of human astrocytes.Additionally,in vivo studies of human astrocytes are further limited by ethical issues.This means there is an urgent need to develop effective in vivo models to study the structure and function of human astrocytes.Here,we first directed human embryonic stem cells to differentiate into human spinal cord dorsal neural stem/progenitor cells in vitro,before transplanting these cells into the gray matter of the cervical spinal cord(C5-T2 segments)of naïve nude rats to create a chimeric human astrocytic rat spinal cord model.The transplanted human spinal cord dorsal neural stem/progenitor cells survived for at least 20 months in the spinal cord environment of the rats,with over 90%differentiating into human astrocytes.These human astrocytes were able to migrate caudally for long distances along the white matter towards the spinal cord.They expressed astrocytic cytoskeletal proteins and functionally-related proteins,suggesting their maturation and structural integration into the rat spinal cord.Thus,this humanized astrocyte chimeric rat spinal cord model provides a valuable tool for studying the role of human spinal cord astrocytes in various spinal diseases.
基金supported by the Yunnan Fundamental Research Projects(202501AV070005 and 202201BE070001-004).
文摘The temporal pole(TP),one of the most expanded cortical regions in humans relative to other primates,plays a crucial role in human language processing.It is also one of the most structurally and functionally asymmetric regions.However,whether the functional architecture of the TP is shared by humans and macaques is an open question.We used spectral clustering algorithms to define a cross-species fine-grained TP atlas with different anatomical connectivity patterns.We identified three similar subregions,two ventral and one dorsal,within the TP in both humans and macaques.The parcellation scheme for the TP was validated using functional gradient mapping,anatomical connectivity and resting-state functional connectivity pattern analysis,and functional characterization.Furthermore,in conjunction with the Allen Human Brain Atlas,we revealed the molecular basis for the functional connectivity patterns of each human TP subregion.In addition,we compared the hemispheric asymmetry in mean gray matter volume,anatomical connectivity fingerprints,and whole brain functional connectivity patterns to reveal the evolutionary differences in the TP and found different asymmetric patterns between humans and macaques.In conclusion,our findings reveal that the asymmetry in structure and connectivity may underpin the hemispheric functional specialization of the brain and provide a novel insight into understanding the evolutionary origin of the TP.
文摘The number and diversity of inhibitory neurons(INs)increased substantially during mammalian brain evolution.However,the generative mechanisms of the vast repertoire of human INs remain elusive.We performed spatial and single-cell transcriptomics of human medial ganglionic eminence(hMGE),a pivotal source of cortical and subpallial INs,and built the trajectories of hMGE-derived cells during brain development.We identified spatiotemporally and molecularly segregated progenitor cell populations fated to produce distinct IN types.
基金supported by the Belle Carnell Regenerative Neurorehabilitation Fundthe National Institutes of Health(R01NS113935 to CKF)。
文摘Human spinal cord organoids(hSCOs)offer a promising platform to study neurotrauma by addressing many limitations of traditional research models.These organoids provide access to human-specific physiological and genetic mechanisms and can be derived from an individual's somatic cells(e.g.,blood or skin).This enables patient-specific paradigms for precision neurotrauma research,pa rticula rly relevant to the over 300,000 people in the United States living with chronic effects of spinal cord injury(SCI).
基金supported by National Natural Science Foundation of China(NSFC)under grant U23A20310.
文摘With the growing advancement of wireless communication technologies,WiFi-based human sensing has gained increasing attention as a non-intrusive and device-free solution.Among the available signal types,Channel State Information(CSI)offers fine-grained temporal,frequency,and spatial insights into multipath propagation,making it a crucial data source for human-centric sensing.Recently,the integration of deep learning has significantly improved the robustness and automation of feature extraction from CSI in complex environments.This paper provides a comprehensive review of deep learning-enhanced human sensing based on CSI.We first outline mainstream CSI acquisition tools and their hardware specifications,then provide a detailed discussion of preprocessing methods such as denoising,time–frequency transformation,data segmentation,and augmentation.Subsequently,we categorize deep learning approaches according to sensing tasks—namely detection,localization,and recognition—and highlight representative models across application scenarios.Finally,we examine key challenges including domain generalization,multi-user interference,and limited data availability,and we propose future research directions involving lightweight model deployment,multimodal data fusion,and semantic-level sensing.
文摘I was 26 the first time I travelled to China,and even now,it feels like an unexpected chapter in my life.The opportunity came out of the blue.I learned,just a month before departure,that I had been selected for a one-month professional training programme.The news ignited a wave of excitement.For nearly two weeks,I stayed up late into the night,imagining a country I had never seen,trying to picture what China might really be like,beyond the images in books,films and media.
文摘In a world growing ever more cruel and violent as nihilism becomes generalized,a world in which the disintegration of the human assumes dimensions that threaten its very cohesion,the demand for the humanization of the Western individual asserts itself as an urgent historical task.Among the institutions implicated in this process,education assumes a central role,as it is within it that wonder and critical thinking are gradually eliminated,together with the demand for shared deliberation,coherent meaning,and the tragic dimension of human existence,while an education of cruelty comes to permeate it from end to end.In order to prevent the full entrenchment of evil in the social world,from which only destruction can be expected,a decisive role could be played by caring thinking that would be coordinated with corresponding action and would come to deeply characterize the educational institution.Such a form of thinking was proposed in the second half of the twentieth century and took flesh and bones within the framework of the Philosophy for Children movement.Its contemporary application within educational practice could reactivate phronesis(practical wisdom)and contribute to enabling the Western human being to re-create themselves as a democratic human being-one who desires the creation of a world of freedom,equality,and justice,and who acts accordingly to bring it about:the creation of a compassionate and prudent world,the preservation of which would be the responsibility of all.
基金supported by Princess Nourah bint Abdulrahman University Researchers Supporting Project number(PNURSP2026R765),Princess Nourah bint Abdulrahman University,Riyadh,Saudi Arabia.
文摘Human Activity Recognition(HAR)is a novel area for computer vision.It has a great impact on healthcare,smart environments,and surveillance while is able to automatically detect human behavior.It plays a vital role in many applications,such as smart home,healthcare,human computer interaction,sports analysis,and especially,intelligent surveillance.In this paper,we propose a robust and efficient HAR system by leveraging deep learning paradigms,including pre-trained models,CNN architectures,and their average-weighted fusion.However,due to the diversity of human actions and various environmental influences,as well as a lack of data and resources,achieving high recognition accuracy remain elusive.In this work,a weighted average ensemble technique is employed to fuse three deep learning models:EfficientNet,ResNet50,and a custom CNN.The results of this study indicate that using a weighted average ensemble strategy for developing more effective HAR models may be a promising idea for detection and classification of human activities.Experiments by using the benchmark dataset proved that the proposed weighted ensemble approach outperformed existing approaches in terms of accuracy and other key performance measures.The combined average-weighted ensemble of pre-trained and CNN models obtained an accuracy of 98%,compared to 97%,96%,and 95%for the customized CNN,EfficientNet,and ResNet50 models,respectively.
基金Under the auspices of Fundamental Research Funds for the Central Universities,Zhongnan University of Economics and Law,China(No.2722021EG001)。
文摘In the evolving global economy,China’s Outward Foreign Direct Investment(OFDI)holds increasing significance,specially within the context of the Belt and Road Initiative(BRI).Despite earlier studies have acknowledged the role of governance quality in at-tracting Chinese OFDI,their explanatory capacity regarding human development has not received sufficient attention.This study ad-dresses this gap,investigating the relationship between Chinese OFDI and human development,emphasizing the governance quality’s moderating role.Using data from 122 BRI countries from 2004 to 2021,we employed the Panel Corrected Standard Error model through Prais-Winsten regression,complimented by robustness check via the Spatial Durbin Model.Our analysis revealed a significant positive relationship between Chinese OFDI and human development in BRI countries,indicating that Chinese investments act as cata-lysts for improved well-being.More importantly,governance quality plays a vital role in shaping this relationship,revealing that effect-ive governance enhanced the human development outcomes of OFDI.Post-hoc analysis of governance indicators,both as a composite index and individual dimensions,supported this finding.Regional heterogeneity analysis further showed that Chinese OFDI has stronger effects on Human Development Index(HDI)in Asia and Africa compared to Europe,Latin America,and Oceania.However,the moder-ating effect of governance quality seemed more prominent in Oceania and Latin America,indicating its role in fostering the benefits of Chinese investments in these regions.These findings hold implications for academia and policy,emphasizing the need for transparent,accountable,and effective governance to drive sustainable and inclusive human development within the BRI framework.
基金funded by the National Natural Science Foundation of China under Grant 62306128the Leading Innovation Project of Changzhou Science and Technology Bureau underGrant CQ20230072+2 种基金the Basic Science Research Project of Jiangsu Provincial Department of Education under Grant 23KJD520003the Science and Technology Development Plan Project of Jilin Provinceunder Grant 20240101382JCthe National KeyR esearch and Development Program of China under Grant 2023YFF1105102.
文摘In fire rescue scenarios,traditional manual operations are highly dangerous,as dense smoke,low visibility,extreme heat,and toxic gases not only hinder rescue efficiency but also endanger firefighters’safety.Although intelligent rescue robots can enter hazardous environments in place of humans,smoke poses major challenges for human detection algorithms.These challenges include the attenuation of visible and infrared signals,complex thermal fields,and interference frombackground objects,all ofwhichmake it difficult to accurately identify trapped individuals.To address this problem,we propose VIF-YOLO,a visible–infrared fusion model for real-time human detection in dense smoke environments.The framework introduces a lightweight multimodal fusion(LMF)module based on learnable low-rank representation blocks to end-to-end integrate visible and infrared images,preserving fine details while enhancing salient features.In addition,an efficient multiscale attention(EMA)mechanism is incorporated into the YOLOv10n backbone to improve feature representation under low-light conditions.Extensive experiments on our newly constructedmultimodal smoke human detection(MSHD)dataset demonstrate thatVIF-YOLOachievesmAP50 of 99.5%,precision of 99.2%,and recall of 99.3%,outperforming YOLOv10n by a clear margin.Furthermore,when deployed on the NVIDIA Jetson Xavier NX,VIF-YOLO attains 40.6 FPS with an average inference latency of 24.6 ms,validating its real-time capability on edge-computing platforms.These results confirm that VIF-YOLO provides accurate,robust,and fast detection across complex backgrounds and diverse smoke conditions,ensuring reliable and rapid localization of individuals in need of rescue.
基金The Second Tibetan Plateau Scientific Expedition and Research Program,No.2019QZKK0608。
文摘Understanding the impacts of human activities on the plateau’s living environment is essential for advancing modernization pathways that promote harmony between humanity and nature.However,studies on the dynamic interactions between human activities and the living environment on the Qinghai-Xizang Plateau(QXP)remain limited,with a paucity of quantitative relationship analyses.This study established an assessment framework to evaluate human influences on the living environment in QXP,using data on typical human activities,ecological conditions,and human settlements.Within this framework,the spatial analysis methods and the coupling coordination model were used to examine the spatio-temporal characteristics and relationship of human activities and living environment on the QXP from 2000 to 2020.The geographical detector model was then applied to identify the key factors influencing the plateau’s human living environment.Subsequently,the four-quadrant analysis model was adopted to assess human influences on the living environment.The results indicate that the human activity intensity(HAI)on the QXP remained relatively low yet increased by 15.41%from 2000 to 2020.Spatially,the human living environment quality(LEQ)improved from northwest to southeast,with 61.14%of the areas remaining stable and 18.47%experiencing slight improvement.The analysis of coupling coordination revealed a continuous improvement between the HAI and LEQ,with the areas of high and relatively high coordinated types increasing by more than 9%.Precipitation and urban-rural construction were identified as the primary factors influencing changes in the LEQ.The interaction between the HAI and LEQ was strengthening,with 40.44%classified as coordinated development type and 38.35%as development-environment conflict type.These findings provide valuable insights for enhancing the resilience of human settlements and promoting green development across the plateau.
文摘The rapid progress of human organoid toolkits presents unprecedented opportunities in disease modeling,drug discovery,and personalized therapy,alongside profound bioethical challenges and concerns.On April 29th,2025,China’s National Science and Technology Ethics Committee(Life Science Ethics Subcommittee)issued the Human Organoid Research Ethical Guidelines[1],establishing the world’s first comprehensive governance framework,especially focusing on brain organoids,embryo models,and chimeric research.This Guidelines represent a pioneering governance model in emerging biotechnology.This commentary offers an in-depth analysis to examine the policy’s innovative three-tiered structure,contrast it with current global regulatory standards,evaluate its domestic impacts as well as potential implications for international biotechnology governance,and provide recommendations for future directions.
基金supported by the National Natural Science Foundation of China(32271584 and 31600445)the Natural Science Basic Research Plan in Shaanxi Province of China(2020JM-286)+2 种基金the Fundamental Research Funds for the Central Universities(GK202103072,GK202103073)the National College Students'Innovative Entrepreneurial Training Plan Program(202310718085)Special Research Project in Philosophy and Social Sciences of Shaanxi Province(2022HZ1795).
文摘Prevention of biological invasion requires understanding how alien species invade native communities.Although studies have identified mechanisms that underlie plant invasion in some habitats,limited attention has focused on invasion patterns along elevational gradients.In this study,we asked which factors drive the global and regional distribution of the invasive plant Galinsoga quadriradiata along elevational gradients.To answer this question,we examined whether human activities(i.e.,roads)promote G.quadriradiata invasion,how seed dispersal-related traits of G.quadriradiata change along elevation gradients,and whether G.quadriradiata has adapted to high-elevation environments through phenotypic plasticity or genetic variation.On the global scale,we found that human activities and road density positively contribute to the G.quadriradiata expansion in mountainous areas.Field surveys in China revealed significant elevational differences in the seed dispersal traits of G.quadriradiata,with higher-elevation populations exhibiting lower dispersal ability and generally lower genetic diversity.Under common conditions,high-elevation populations showed higher leaf mass ratio but lower root mass ratio and reproductive allocation.This suggests that high-elevation environments create a barrier to dispersal for G.quadriradiata,and that G.quadriradiata has adapted phenotypically to these conditions.Our study indicates that the elevational invasion pattern of G.quadriradiata is shaped by multiple factors,particularly human activities and phenotypic adaptability.In addition,our finding that G.quadriradiata invasion at high elevations is not constrained by low genetic diversity indicates that monitoring and management of G.quadriradiata in mountainous areas should be strengthened.
基金supported by Princess Nourah bint Abdulrahman University,Riyadh,Saudi Arabia through the Researchers Supporting Project PNURSP2025R333.
文摘Human activity recognition(HAR)is a method to predict human activities from sensor signals using machine learning(ML)techniques.HAR systems have several applications in various domains,including medicine,surveillance,behavioral monitoring,and posture analysis.Extraction of suitable information from sensor data is an important part of the HAR process to recognize activities accurately.Several research studies on HAR have utilizedMel frequency cepstral coefficients(MFCCs)because of their effectiveness in capturing the periodic pattern of sensor signals.However,existing MFCC-based approaches often fail to capture sufficient temporal variability,which limits their ability to distinguish between complex or imbalanced activity classes robustly.To address this gap,this study proposes a feature fusion strategy that merges time-based and MFCC features(MFCCT)to enhance activity representation.The merged features were fed to a convolutional neural network(CNN)integrated with long shortterm memory(LSTM)—DeepConvLSTM to construct the HAR model.The MFCCT features with DeepConvLSTM achieved better performance as compared to MFCCs and time-based features on PAMAP2,UCI-HAR,and WISDM by obtaining an accuracy of 97%,98%,and 97%,respectively.In addition,DeepConvLSTM outperformed the deep learning(DL)algorithms that have recently been employed in HAR.These results confirm that the proposed hybrid features are not only practical but also generalizable,making them applicable across diverse HAR datasets for accurate activity classification.
基金NJP holds a Future Leader Award from the Novo Nordisk Foundation and European Foundation for the Study of Diabetes(NNF/EFSD NNF21SA0072747)a grant from the Diabetes Wellness Network Sverige(PG21-6524)+5 种基金supported by the Swedish Research Council(2015-00165)the European Research Council(ERC-2023-Ad G 101142093)a Wallenberg Scholars Award from the Knut and Alice Wallenberg Foundation(KAW 2023.0312)the Swedish Research Council for Sport Science(P2023-0093)The Novo Nordisk Foundation Center for Basic Metabolic Research is an independent research center at the Faculty of Health and Medical Sciences,University of Copenhagen,Denmark partially funded by an unrestricted donation from the Novo Nordisk Foundation(NNF18CC0034900,NNF23SA0084103)supported by a postdoctoral fellowship from the Strategic Research Program in Diabetes at Karolinska Institutet。
文摘Background:Cardiorespiratory fitness(CRF)is a powerful predictor of mortality and chronic disease risk,yet global patterns and determinants of CRF remain poorly defined,particularly in females and underrepresented populations.We conducted a systematic review and quantitative synthesis of directly measured peak oxygen uptake(VO_(2peak))internationally and examined its association with human development and gender ine quality.Methods:Studies were eligible if VO_(2peak)was assessed via direct gas analysis during maximal exercise testing,and if the countries had scores for the Human Development Index(HDI)and Gender Inequality Index(GII).Studies were identified through MEDLINE/PubMed,Embase,CINAHL,and Web of Science.Risks of bias were assessed by an adaptation of the Newcastle-Ottawa Scale.Multivariable linear regression models examined associations between VO_(2peak),age,sex,exercise modality,HDI,GII,and study year.Results:Data included 95 studies from 24 countries with HDI and GII scores,comprising 119,435 adults(42%females)with VO_(2peak)assessed via direct gas analysis during maximal exercise testing.The risk of bias was low.VO_(2peak)was positively associated with HDI(β=14.1)and negatively associated with GII(β=-3.6).Slightly stronger associations were observed in females than males(HDI:β=18.9 vs.β=13.9,GII:β=-4.6vs.β=-3.6).Young females in middle-HDI countries had higher VO_(2peak)than those in low-HDI countries(31.2mL/kg/min vs.28.5 mL/kg/min),with limited additional gams in high-HDI contexts.VO_(2peak)decreased with higher gender inequality,with the largest disparities observed in young females between high-and low-GII countries(26.3 mL/kg/min vs.32.8 mL/kg/min).Conclusion:Global variation in CRF is tied to national levels of human development and gender equality.These findings support prioritizing structural and policy-level interventions that address social and gender disparities in physical activity access and health promotion.Studies from countries with lower HDI and information on ethnicity and socioeconomic status will bridge crucial gaps in understanding factors involved in global CRF levels.
