In multimodal human computer dialog,non-verbal channels,such as facial expression,posture,gesture,etc,combined with spoken information,are also important in the procedure of dialogue.Nowadays,in spite of high performa...In multimodal human computer dialog,non-verbal channels,such as facial expression,posture,gesture,etc,combined with spoken information,are also important in the procedure of dialogue.Nowadays,in spite of high performance of users*single channel behavior computing,it is still great challenge to understand users1 intention accurately from their multimodal behaviors.One reason for this challenge is that we still need to improve multimodal information fusion in theories,methodologies and practical systems.This paper presents a review of data fusion methods in multimodal human computer dialog.We first introduce the cognitive assumption of single channel processing,and then discuss its implementation methods in human computer dialog;for the task of multi-modal information fusion,serval computing models are presented after we introduce the principle description of multiple data fusion.Finally,some practical examples of multimodal information fusion methods are introduced and the possible and important breakthroughs of the data fusion methods in future multimodal human-computer interaction applications are discussed.展开更多
With COM,VB and VC,we develop a visual human computer interaction system,which is used to mine association rules.It can mine association rules from the database which is created by Access and SQL server,as well as the...With COM,VB and VC,we develop a visual human computer interaction system,which is used to mine association rules.It can mine association rules from the database which is created by Access and SQL server,as well as the text mode.With the interaction interface,user participates in the process of data mining,making the system mine the satisfying rules.展开更多
Bio-based human computer interface (HCI) has attracted more and more attention of researches all over the world in recent years. In this paper, a HCI system which based on electrooculogram (EOG) is proposed. It transf...Bio-based human computer interface (HCI) has attracted more and more attention of researches all over the world in recent years. In this paper, a HCI system which based on electrooculogram (EOG) is proposed. It transforms electrical po-tentials recorded by horizontal and vertical EOG into a computer in order to control external equipment. The system consists of EOG acqui-sition unit, EOG pattern recognition part and control command output unit. Three plane elec-trodes are employed to detect EOG signals, which contain the information related to the eye blinking and vertical (or horizontal) eye move-ments referred to pre-designed command table. An online signal processing algorithm is de-signed to get the command information con-tained in EOG signals, and these commands could be used to control the computer or other instruments. Based on this HCI system, the remote control experiments driven by EOG are realized.展开更多
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
Accurate fingertip detection is critical for translating hand gestures into actionable commands in vision-based human‒computer interaction(HCI)systems.However,challenges such as complex backgrounds,dynamic hand postur...Accurate fingertip detection is critical for translating hand gestures into actionable commands in vision-based human‒computer interaction(HCI)systems.However,challenges such as complex backgrounds,dynamic hand postures,and real-time processing constraints hinder reliable detection.This paper introduces a robust framework integrating three key innovations:(1)an adaptive Gaussian mixture model(GMM)enhanced with neighborhood pixel connectivity for precise motion extraction;(2)a weighted YCbCr color-space shadow removal algorithm to eliminate false positives;and(3)a centroid distance method refined with circularity constraints for accurate fingertip localization.Extensive experiments demonstrate a recognition accuracy of 97.26%across diverse scenarios,including varying illuminations,occlusions,and hand rotations.The algorithm processes each frame in 23.43 ms on average,satisfying real-time requirements.Comparative evaluations against state-of-the-art methods reveal significant improvements in precision(8.3%),recall(6.1%),and F-measure(7.8%).This work advances HCI applications such as virtual keyboards,gesture-controlled interfaces,and augmented reality systems.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
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
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
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
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 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
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 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
基金the National Natural Science Foundation of China(61873269,61425017,61332017,61831022)the National Key Research&Development Plan of China(2017YFB1002804).
文摘In multimodal human computer dialog,non-verbal channels,such as facial expression,posture,gesture,etc,combined with spoken information,are also important in the procedure of dialogue.Nowadays,in spite of high performance of users*single channel behavior computing,it is still great challenge to understand users1 intention accurately from their multimodal behaviors.One reason for this challenge is that we still need to improve multimodal information fusion in theories,methodologies and practical systems.This paper presents a review of data fusion methods in multimodal human computer dialog.We first introduce the cognitive assumption of single channel processing,and then discuss its implementation methods in human computer dialog;for the task of multi-modal information fusion,serval computing models are presented after we introduce the principle description of multiple data fusion.Finally,some practical examples of multimodal information fusion methods are introduced and the possible and important breakthroughs of the data fusion methods in future multimodal human-computer interaction applications are discussed.
文摘With COM,VB and VC,we develop a visual human computer interaction system,which is used to mine association rules.It can mine association rules from the database which is created by Access and SQL server,as well as the text mode.With the interaction interface,user participates in the process of data mining,making the system mine the satisfying rules.
文摘Bio-based human computer interface (HCI) has attracted more and more attention of researches all over the world in recent years. In this paper, a HCI system which based on electrooculogram (EOG) is proposed. It transforms electrical po-tentials recorded by horizontal and vertical EOG into a computer in order to control external equipment. The system consists of EOG acqui-sition unit, EOG pattern recognition part and control command output unit. Three plane elec-trodes are employed to detect EOG signals, which contain the information related to the eye blinking and vertical (or horizontal) eye move-ments referred to pre-designed command table. An online signal processing algorithm is de-signed to get the command information con-tained in EOG signals, and these commands could be used to control the computer or other instruments. Based on this HCI system, the remote control experiments driven by EOG are realized.
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.
基金funded by the Jiaying University Research Start-Up Fund(grant number 323E0431).
文摘Accurate fingertip detection is critical for translating hand gestures into actionable commands in vision-based human‒computer interaction(HCI)systems.However,challenges such as complex backgrounds,dynamic hand postures,and real-time processing constraints hinder reliable detection.This paper introduces a robust framework integrating three key innovations:(1)an adaptive Gaussian mixture model(GMM)enhanced with neighborhood pixel connectivity for precise motion extraction;(2)a weighted YCbCr color-space shadow removal algorithm to eliminate false positives;and(3)a centroid distance method refined with circularity constraints for accurate fingertip localization.Extensive experiments demonstrate a recognition accuracy of 97.26%across diverse scenarios,including varying illuminations,occlusions,and hand rotations.The algorithm processes each frame in 23.43 ms on average,satisfying real-time requirements.Comparative evaluations against state-of-the-art methods reveal significant improvements in precision(8.3%),recall(6.1%),and F-measure(7.8%).This work advances HCI applications such as virtual keyboards,gesture-controlled interfaces,and augmented reality systems.
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.
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).
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.
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.
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.
