A Hand Features Based Fusion Recognition Network with Enhancing Multi-Modal Correlation

Fusing hand-based features in multi-modal biometric recognition enhances anti-spoofing capabilities.Additionally,it leverages inter-modal correlation to enhance recognition performance.Concurrently,the robustness and recognition performance of the system can be enhanced through judiciously leveraging the correlation among multimodal features.Nevertheless,two issues persist in multi-modal feature fusion recognition:Firstly,the enhancement of recognition performance in fusion recognition has not comprehensively considered the inter-modality correlations among distinct modalities.Secondly,during modal fusion,improper weight selection diminishes the salience of crucial modal features,thereby diminishing the overall recognition performance.To address these two issues,we introduce an enhanced DenseNet multimodal recognition network founded on feature-level fusion.The information from the three modalities is fused akin to RGB,and the input network augments the correlation between modes through channel correlation.Within the enhanced DenseNet network,the Efficient Channel Attention Network(ECA-Net)dynamically adjusts the weight of each channel to amplify the salience of crucial information in each modal feature.Depthwise separable convolution markedly reduces the training parameters and further enhances the feature correlation.Experimental evaluations were conducted on four multimodal databases,comprising six unimodal databases,including multispectral palmprint and palm vein databases from the Chinese Academy of Sciences.The Equal Error Rates(EER)values were 0.0149%,0.0150%,0.0099%,and 0.0050%,correspondingly.In comparison to other network methods for palmprint,palm vein,and finger vein fusion recognition,this approach substantially enhances recognition performance,rendering it suitable for high-security environments with practical applicability.The experiments in this article utilized amodest sample database comprising 200 individuals.The subsequent phase involves preparing for the extension of the method to larger databases.

Recent advances and perspectives of zinc metal-free anodes for zinc ion batteries

Zinc-ion batteries(ZIBs) are recognized as potential energy storage devices due to their advantages of low cost, high energy density, and environmental friendliness. However, zinc anodes are subject to unavoidable zinc dendrites, passivation, corrosion, and hydrogen evolution reactions during the charging and discharging of batteries, becoming obstacles to the practical application of ZIBs. Appropriate zinc metal-free anodes provide a higher working potential than metallic zinc anodes, effectively solving the problems of zinc dendrites, hydrogen evolution, and side reactions during the operation of metallic zinc anodes. The improvement in the safety and cycle life of batteries creates conditions for further commercialization of ZIBs. Therefore, this work systematically introduces the research progress of zinc metal-free anodes in “rocking chair” ZIBs. Zinc metal-free anodes are mainly discussed in four categories: transition metal oxides,transition metal sulfides, MXene(two dimensional transition metal carbide) composites, and organic compounds, with discussions on their properties and zinc storage mechanisms. Finally, the outlook for the development of zinc metal-free anodes is proposed. This paper is expected to provide a reference for the further promotion of commercial rechargeable ZIBs.

Multi-modal knowledge graph inference via media convergence and logic rule

Media convergence works by processing information from different modalities and applying them to different domains.It is difficult for the conventional knowledge graph to utilise multi-media features because the introduction of a large amount of information from other modalities reduces the effectiveness of representation learning and makes knowledge graph inference less effective.To address the issue,an inference method based on Media Convergence and Rule-guided Joint Inference model(MCRJI)has been pro-posed.The authors not only converge multi-media features of entities but also introduce logic rules to improve the accuracy and interpretability of link prediction.First,a multi-headed self-attention approach is used to obtain the attention of different media features of entities during semantic synthesis.Second,logic rules of different lengths are mined from knowledge graph to learn new entity representations.Finally,knowledge graph inference is performed based on representing entities that converge multi-media features.Numerous experimental results show that MCRJI outperforms other advanced baselines in using multi-media features and knowledge graph inference,demonstrating that MCRJI provides an excellent approach for knowledge graph inference with converged multi-media features.

Generative Multi-Modal Mutual Enhancement Video Semantic Communications

Recently,there have been significant advancements in the study of semantic communication in single-modal scenarios.However,the ability to process information in multi-modal environments remains limited.Inspired by the research and applications of natural language processing across different modalities,our goal is to accurately extract frame-level semantic information from videos and ultimately transmit high-quality videos.Specifically,we propose a deep learning-basedMulti-ModalMutual Enhancement Video Semantic Communication system,called M3E-VSC.Built upon a VectorQuantized Generative AdversarialNetwork(VQGAN),our systemaims to leverage mutual enhancement among different modalities by using text as the main carrier of transmission.With it,the semantic information can be extracted fromkey-frame images and audio of the video and performdifferential value to ensure that the extracted text conveys accurate semantic information with fewer bits,thus improving the capacity of the system.Furthermore,a multi-frame semantic detection module is designed to facilitate semantic transitions during video generation.Simulation results demonstrate that our proposed model maintains high robustness in complex noise environments,particularly in low signal-to-noise ratio conditions,significantly improving the accuracy and speed of semantic transmission in video communication by approximately 50 percent.

Mistreatment during Childbirth: Impact on Maternal Outcomes and Importance of Provider Perspectives

Background: Dying in childbirth is one of the most common causes of death for women. While maternal mortality rates, defined as deaths per 100,000 live births, have been steadily dropping in most countries worldwide, maternal mortality rates have doubled in the United States in the last twenty years. This commentary examines the various contributing factors to this trend. Methods: A literature review was performed using the keywords: maternal mortality, United States, disrespectful maternity care, obstetric violence, provider perspectives, and disparities. Maternal mortality statistics were obtained from the World Health Organization website. Results: Medical factors associated with maternal mortality include increased maternal age and cardiovascular conditions. Social factors include barriers to healthcare access, delays in receiving medical care, reduction in reproductive health services in some states, and non-obstetrical deaths such as accidents, domestic violence, and suicide. Racial inequities and disparities of care are reflected in higher maternal mortality rates for minorities and people of color. Disrespectful maternity care or obstetric violence has been reported worldwide as a factor in delay of lifesaving obstetrical care and reluctance by a pregnant person to access the healthcare system. About one in five US women has reported experiencing mistreatment, varying from verbal abuse to lack of privacy, from coerced procedures to neglect during childbirth. Conclusion: This commentary highlights the importance of inclusion of providers in research on respectful maternity care. Provider burnout, moral distress, limited time, and burden of clinical responsibilities are known challenges to respectful and comprehensive medical care. The association of disrespectful care with poor maternal outcomes needs to be studied. Exploring root causes of disrespectful childbirth care can empower nurses, midwives, and physicians to improve their environment and find solutions to reduce a potential cause of maternal mortality.

Research on Early Warning of Banking Crises from the Perspective of Credit Structures

The relationship between credit expansion and banking crises is complex and cannot be fully explained by total credit alone.A systematic analysis of the relationship between the amount and structure of total credit and banking crises is important for an objective prediction of the influence of potential financial risks.This paper,drawing on data from 15 selected countries,delves into the power of credit indicators in the early warning of banking crises from the perspectives of industrial structure,sector structure,and term structure of credit.Various machine learning methods were used,including Logistic Regression,Random Forest,Decision Tree,Support Vector Machine(SVM),Bagging,and Boosting models.The empirical findings indicate that credit expansion plays a crucial role in triggering banking crises.However,total credit is better suited for the early warning of short-term banking crises,whereas credit structure is more useful for the early warning of long-term banking crises.Moreover,in an early warning system,identifying key early warning indicators is more meaningful than merely increasing the number of indicators.Machine learning can somewhat enhance the early warning power,but it may not always be robust.Therefore,more attention should be paid to potential systemic banking crises resulting from an imbalance in credit structure while regulating the total credit threshold.

Moral Perspective as Depicted in the Archetypes on Divine-Human Perspective of Dianshizhai Pictorial

This article examines the archetypes related to the divine-human perspective in the Dianshizhai Pictorial and uses the basic theory of“Myth-Archetype Criticism”to analyze the concepts of moral perspective and the view of cause and effect reflected in the text.It summarizes the interactive modes and various archetypes of cause and effect in three contexts:gods to humans,humans to gods,and humans to humans,explores the social reality and the relevant views of moral perspective and causality reflected in the illustrated magazine,and reveals the archetype foundation of the narrative of moral perspective retribution in Dianshizhai Pictorial in the three dimensions of psychology,literature,and society.

Current perspectives of viral

Viral hepatitis represents a major danger to public health,and is a globally leading cause of death.The five liver-specific viruses:Hepatitis A virus,hepatitis B virus,hepatitis C virus,hepatitis D virus,and hepatitis E virus,each have their own unique epidemiology,structural biology,transmission,endemic patterns,risk of liver complications,and response to antiviral therapies.There remain few options for treatment,in spite of the increasing prevalence of viral-hepatitiscaused liver disease.Furthermore,chronic viral hepatitis is a leading worldwide cause of both liver-related morbidity and mortality,even though effective treatments are available that could reduce or prevent most patients’complications.In 2016,the World Health Organization released its plan to eliminate viral hepatitis as a public health threat by the year 2030,along with a discussion of current gaps and prospects for both regional and global eradication of viral hepatitis.Today,treatment is sufficiently able to prevent the disease from reaching advanced phases.However,future therapies must be extremely safe,and should ideally limit the period of treatment necessary.A better understanding of pathogenesis will prove beneficial in the development of potential treatment strategies targeting infections by viral hepatitis.This review aims to summarize the current state of knowledge on each type of viral hepatitis,together with major innovations.

Unsupervised multi-modal image translation based on the squeeze-and-excitation mechanism and feature attention module

The unsupervised multi-modal image translation is an emerging domain of computer vision whose goal is to transform an image from the source domain into many diverse styles in the target domain.However,the multi-generator mechanism is employed among the advanced approaches available to model different domain mappings,which results in inefficient training of neural networks and pattern collapse,leading to inefficient generation of image diversity.To address this issue,this paper introduces a multi-modal unsupervised image translation framework that uses a generator to perform multi-modal image translation.Specifically,firstly,the domain code is introduced in this paper to explicitly control the different generation tasks.Secondly,this paper brings in the squeeze-and-excitation(SE)mechanism and feature attention(FA)module.Finally,the model integrates multiple optimization objectives to ensure efficient multi-modal translation.This paper performs qualitative and quantitative experiments on multiple non-paired benchmark image translation datasets while demonstrating the benefits of the proposed method over existing technologies.Overall,experimental results have shown that the proposed method is versatile and scalable.

Access to Financial Services——An Analysis from the Human Rights Perspective

There is a broad connection between finance and human rights,with finance having both positive and negative impacts on human rights.Everyone has a need for access to financial services.Documents in both the international human rights and international finance fields address the relationship between financial services and human rights.Among financial services,microcredit and inclusive finance have the closest connection to human rights and potentially the greatest impact on human rights.Access to financial services promotes economic,social,and cultural rights as well as the rights of specific groups.The conditions for access to financial services to promote human rights require the state to assume obligations to recognize,respect,protect,and fulfill the need for individuals to access financial services,and to ensure the availability,accessibility,acceptability,and adaptability of basic financial services.Access to financial services has played a significant role in China’s comprehensive victory in the battle of poverty alleviation,providing valuable experience for the international community in poverty eradication,achieving sustainable development goals,and protecting and promoting human rights.

Analysis Of Urban Planning Instruments in Comala,Colima,Mexico(1997-2009)from a Gender Perspective-A Secondary Publication

This work is carried out based on the analysis of urban planning instruments,taking the gender perspective as a foundation.It arises from the inclusion of women in the participation of urban development,through an analysis of the gender gaps that have marked the history of women,the inequalities serve as a basis for carrying out this study.It highlights the challenges we face today as a society in the process of building citizen participation,where we must all be recognized and have equal opportunities within the territory in which we live.This article analyzes the extent to which the Municipal Urban Development Programs of the Mexican municipality of Comala,Colima,Mexico,consider the recommendations on gender and urbanism,established since the 1990s by international entities and applied transversally to urban planning policies.Considerable differences are found between women and men in terms of empowerment and participation in urban territorial planning instruments,mainly in the oldest instrument(1997).Significant progress is observed in the most recent document and is currently in force in the municipality of Comala(2009).

Research on the Policy Evolution of Inclusive Education from an International Comparative Perspective

In recent years,thanks to the vigorous promotion by UNESCO,inclusive education has rapidly developed and spread worldwide.Governments across various nations have responded and implemented this approach,successively introducing laws and policies to ensure that children with special needs are better integrated into society and receive a comprehensive education.This paper begins by exploring the concept and connotation of inclusive education.Through an international comparative perspective,it conducts a comparative analysis of the policy evolution of inclusive education in China and the United Kingdom.Furthermore,it investigates the implications that advanced international policy experiences have for the development of inclusive education in China.

Analysis of the Innovative Path of History Teaching from an Artistic Perspective

This paper discusses the innovative ways of history teaching in depth from the unique perspective of art.By analyzing how artistic elements can effectively enrich teaching means and contents,it reveals the important value of art in history teaching for the improvement of students’comprehensive literacy and further explores the role of art in promoting the modern transformation of history education.At the same time,the article also focuses on the challenges faced in practice,such as the lack of artistic qualities among teachers,the difficulties in integrating art and history,and the differences in students’acceptance.To cope with these challenges,the article proposes specific implementation strategies,including the integration of diversified art resources,innovative teaching methods and approaches,and the construction of a scientific and reasonable evaluation mechanism,aiming to comprehensively optimize the effectiveness of history teaching and further stimulate students’potential for all-round development.

Research on the Implementation Path of Labor Education in Colleges and Universities from an International Perspective

Universities shoulder the important mission of talent cultivation,scientific research,social service,cultural heritage and innovation,and international exchange and cooperation.International exchange and cooperation have become the fifth major function of universities.Based on the background of the globalization era,undergraduate colleges and universities should pay more attention to the cultivation of students’intercultural communication and understanding ability while cultivating their professional skills,and take expanding students’international vision and enhancing the international competitiveness of China’s education as important tasks.Labor education is an important content of the national education system,which has the comprehensive nurturing value of cultivating morality,increasing intelligence,strengthening physical fitness,and cultivating beauty.Higher education institutions should further optimize the system of labor education,expand students’space and field of thinking in the process of labor education,and broaden students’international perspectives.

Online International Peer Interaction:An Exploration of Impacts on Comprehensive Competencies,Global Perspectives,and Cross-Cultural Communication Skills

With the increasing trend of globalization and the rapid advancement of information technology,online learning platforms such as Zoom are becoming increasingly influential in the field of education.The focus of this study was the online international peer interaction based on the Zoom platform,detailing how such interaction programs are conducted and exploring in depth the specific impacts of this interaction mode on students’comprehensive competencies,global perspectives,and cross-cultural communication skills.This research not only provides new practical references for online learning and international education but also offers new research perspectives and directions for educators and researchers.

Research and Practice of Course Reform in English Majors of Colleges and Universities from the Ideological and Political Perspective

There is an urgent need for high-quality talents with ideological and moral character for the development of higher education and the cultivation of English majors who meet the requirements of the times.The course reform in English majors from the ideological and political perspective is an important way to improve the comprehensive quality and moral values of students,which helps to cultivate English talents with social responsibility and innovative abilities.This paper analyzes the problems in the current courses through literature review and field research,such as the lack of ideological and political perspective and low interest of students in ideological and political content.Based on these issues,taking the course“Comprehensive English”as an example,various teaching stages were practiced from the aspects of learning objectives,learning content,learning situation,implementation ideas,implementation effects,and teaching evaluation.Additionally,some suggestions are proposed,such as integrating ideological and political content into the entire process of teaching.The teaching staff needs to possess high-level English teaching ability and ideological and political perspective,standardize the evaluation system,and integrate epistemology into the evaluation process of ideological and political education,in order to promote in-depth research and exploration of ideological and political education of English majors.

Opportunities and Challenges of College Mental Health Education from the Perspective of Big Data

This paper explores the opportunities and challenges of college mental health education from the perspective of big data.Firstly,through literature review,the importance of mental health education and the current issues are elucidated.Then,from the perspective of big data,the potential opportunities of big data in college mental health education are analyzed,including data-driven personalized education,real-time monitoring and warning systems,and interdisciplinary research and collaboration.At the same time,the challenges faced by college mental health education under the perspective of big data are also pointed out,such as data privacy and security issues,insufficient data analysis and interpretation capabilities,and inadequate technical facilities and talent support.Lastly,the research content of this paper is summarized,and directions and suggestions for future research are proposed.

Misuse of Teaching Gesture from the Perspective of Multi-modal Discourse Analysis and Its Solutions

Based on the teaching video of middle school English teachers, through observation and analysis, it puts forward the problem of less use, wrong use and abuse in the use of teachers' teaching gestures in middle school English teaching. And then it puts forward corresponding solutions from three aspects: concept, theory and practice. Hoping to provide further reference to the complementary role of teaching gesture and teaching discourse.

M3SC:A Generic Dataset for Mixed Multi-Modal(MMM)Sensing and Communication Integration

The sixth generation(6G)of mobile communication system is witnessing a new paradigm shift,i.e.,integrated sensing-communication system.A comprehensive dataset is a prerequisite for 6G integrated sensing-communication research.This paper develops a novel simulation dataset,named M3SC,for mixed multi-modal(MMM)sensing-communication integration,and the generation framework of the M3SC dataset is further given.To obtain multimodal sensory data in physical space and communication data in electromagnetic space,we utilize Air-Sim and WaveFarer to collect multi-modal sensory data and exploit Wireless InSite to collect communication data.Furthermore,the in-depth integration and precise alignment of AirSim,WaveFarer,andWireless InSite are achieved.The M3SC dataset covers various weather conditions,multiplex frequency bands,and different times of the day.Currently,the M3SC dataset contains 1500 snapshots,including 80 RGB images,160 depth maps,80 LiDAR point clouds,256 sets of mmWave waveforms with 8 radar point clouds,and 72 channel impulse response(CIR)matrices per snapshot,thus totaling 120,000 RGB images,240,000 depth maps,120,000 LiDAR point clouds,384,000 sets of mmWave waveforms with 12,000 radar point clouds,and 108,000 CIR matrices.The data processing result presents the multi-modal sensory information and communication channel statistical properties.Finally,the MMM sensing-communication application,which can be supported by the M3SC dataset,is discussed.

Management of metabolic-associated fatty liver disease: The diabetology perspective

The metabolic syndrome as a consequence of the obesity pandemic resulted in a substantial increase in the prevalence of metabolic-associated fatty live disease(MAFLD)and type 2 diabetes mellitus(T2DM).Because of the similarity in pathobiology shared between T2DM and MAFLD,both disorders coexist in many patients and may potentiate the disease-related outcomes with rapid progression and increased complications of the individual diseases.In fact,awareness about this coexistence and the risk of complications are often overlooked by both hepatologists and diabetologists.Management of these individual disorders in a patient should be addressed wholistically using an appropriate multidisciplinary team approach involving both the specialists and,when necessary,liaising with dieticians and surgeons.This comprehensive review is to compile the current evidence from a diabetologist's perspective on MAFLD and T2DM and to suggest optimal management strategies.