Novel Distance Measures on Hesitant Fuzzy Sets Based on Equal-Probability Transformation and Their Application in Decision Making on Intersection Traffic Control

The purpose of this study is to reduce the uncertainty in the calculation process on hesitant fuzzy sets(HFSs).The innovation of this study is to unify the cardinal numbers of hesitant fuzzy elements(HFEs)in a special way.Firstly,a probability density function is assigned for any given HFE.Thereafter,equal-probability transformation is introduced to transform HFEs with different cardinal numbers on the condition into the same probability density function.The characteristic of this transformation is that the higher the consistency of the membership degrees in HFEs,the higher the credibility of the mentioned membership degrees is,then,the bigger the probability density values for them are.According to this transformation technique,a set of novel distance measures on HFSs is provided.Finally,an illustrative example of intersection traffic control is introduced to show the usefulness of the given distance measures.The example also shows that this study is a good complement to operation theories on HFSs.

Growing Biomorphic Transition Metal Dichalcogenides and Their Alloys Toward High Permeable Membranes and Efficient Electrocatalysts Applications

3D architecratured transition metal dichalcogenides constructed by atomically thin layers are appealing building blocks in various applications,such as catalysts,energy storage,conversions,sensors,and so on.However,the direct growth of 3D transition metal dichalcogenides architectures with high crystal quality and well-controlled size/thickness remains a huge challenge.Herein,we report a facile,highly-repeatable,and versatile chemical vapor deposition strategy,for the mass production of high-quality 3D-architecratured transition metal dichalcogenides(e.g.,MoS_(2),WS_(2),and ReS_(2))and their alloys(e.g.,W_(x)Mo(1–x)S_(2)and Rex Mo_((1–x))S_(2))nanosheets on naturally abundant and low-cost diatomite templates.Particularly,the purified transition metal dichalcogenides products exhibit unique and designable 3D biomorphic hierarchical microstructures,controllable layer thicknesses,tailorable chemical compositions,and good crystallinities.The weak interlayer interactions endow them with good dispersity in solutions to form stable additive-free inks for solution-processing-based applications,for example,high-permeable and high-stable separation membranes for water purification,and efficient electrocatalysts for hydrogen evolution reactions.This work paves ways for the low-cost,mass production of versatile transition metal dichalcogenides powder-like materials with designable structures and properties,toward energy/environmental-related applications and beyond.

A double-edged sword:ROS related therapies in the treatment of psoriasis

In the onset and progression of psoriasis,redox imbalance is a vital factor.It's widely accepted that too much reactive oxygen species(ROS)always make psoriasis worse.Recent research,however,has shown that the accumulation of ROS is not entirely detrimental,as it helps reduce psoriasis lesions by inhibiting epidermal proliferation and keratinocyte death.As a result,ROS appears to have two opposing effects on the treatment of psoriasis.In this review,the current ROS-related therapies for psoriasis,including basic and clinical research,are presented.Additionally,the design and therapeutic benefits of various drug delivery systems and therapeutic approaches are examined,and a potential balance between antioxidative stress and ROS accumulation is also trying to be investigated.

Foamed microemulsion nanodroplets loaded with chlorin e6 for epidermal-targeted treatment against psoriasis

Psoriasis is a chronic skin disease characterized by the hyperproliferation of keratinocytes and an overactive autoimmune response. Photodynamic therapy (PDT) has been established as a promising intervention for alleviating psoriasis. However, the current transdermal delivery of photosensitizers is inefficient and imprecise. In this study, we developed a foamed microemulsion nanodroplets system containing chlorin e6 (Ce6 FM), exhibiting precise epidermal targeting and retention, which targeted the aberrantly proliferating epidermal cells at psoriatic skin lesions and avoided the damage to the normal cutaneous cells. Upon application in a psoriatic mouse model, Ce6 FM efficiently induced keratinocyte apoptosis by generating reactive oxygen species under laser. Furthermore, Ce6 FM-based PDT activated the cyclooxygenase-2-induced immunosuppressive pathway in keratinocytes, resulting in the amelioration of the autoimmune microenvironment in psoriatic skin. Additionally, Ce6 FM-based PDT did not induce skin damage or atrophy associated with non-targeted halometasone treatment. Overall, Ce6 FM-based PDT holds promise as an effective, safe and compliant strategy for psoriasis treatment.

Mechanisms for Marine–Terrestrial Compound Heatwaves in Southern China and Adjacent Oceans

Extreme heat events over both lands and oceans have increased in frequency and intensity,and exerted profound impacts on human and natural systems.More impactful is their concurrence,leading to larger losses in health,food,economy,and ecosystem,but receiving far less attention.Understanding the mechanism for such marine–terrestrial compound heatwaves is a prerequisite to prediction and disaster prevention.Based on air particle trajectory analysis,we identified 87 compound heatwaves in China and adjacent oceans in summers of 1982–2021,with the connection between marine and terrestrial heatwaves particularly prominent between the oceans to Northeast Philippines and the lands in South/Southeast China.Through composite and case analysis,it is found that the connection is established by simultaneous governance of(i)the western Pacific subtropical high(WPSH),(ii)a dipole circulation pattern constituted by the WPSH and weak tropical cyclones(TCs),or(iii)strong and closer-to-coast TCs,each of which causes anomalously strong descending motion,increased incoming solar radiation,and strengthened adiabatic heating on lands.The marine heatwaves act to supply more moisture through enhanced evaporation,and/or intensify TCs that pass the region.The air particle tracking shows that these moister air masses are then advected by the WPSH and/or TCs to South/Southeast China,converting the adiabatic heating-caused dry heatwaves there into humid ones and thus adding to the heat stress.These diagnoses provide new insight into the mechanistic understanding and forecast precursors for terrestrial heatwaves,through the lens of compound events.

面向电极接触应用的二维金属性过渡金属硫属化合物的制备和器件研究进展

二维(two-dimensional,2D)层状半导体材料因具有原子级厚度、优异的光电性质和良好的热/化学稳定性等,被认为是延续摩尔定律的重要候选材料之一.基于超薄2D半导体材料构建的电子器件本质上是一种界面器件,其性能与金属-半导体接触的质量密切相关.常规蒸镀法制备金属电极通常涉及高能原子(团簇)轰击,该过程往往导致沟道材料的损伤和界面缺陷的产生,使得接触质量下降,接触电阻增大,器件性能显著恶化.2D金属性过渡金属硫属化合物(metallic transition metal dichalcogenides,MTMDCs)和半导体性TMDCs具有类似的材料组成、相同的层间范德华相互作用、可兼容的制备方法等,有望作为金属-半导体接触的界面材料,有效改善接触问题.目前,面向电极接触应用的高质量2D-MTMDCs的制备与应用已取得重要进展.本文综述了近年来基于化学气相沉积(chemical vapor deposition,CVD)法制备MTMDCs的一些研究成果,包括不同材料体系的制备、结构表征以及作为电极接触的应用等,最后讨论了该领域目前存在的问题,展望了未来可能的发展方向.

Artificial intelligence empowering research on loneliness, depression and anxiety-Using Covid-19 as an opportunity

The COVID-19 pandemic has had a profound impact on public mental health,leading to a surge in loneliness,depression,and anxiety.And these public psychological issues increasingly become a factor affecting social order.As researchers explore ways to address these issues,artificial intelligence(AI)has emerged as a powerful tool for understanding and supporting mental health.In this paper,we provide a thorough literature review on the emotions(EMO)of loneliness,depression,and anxiety(EMO-LDA)before and during the COVID-19 pandemic.Additionally,we evaluate the application of AI in EMO-LDA research from 2018 to 2023(AI-LDA)using Latent Dirichlet Allocation(LDA)topic modeling.Our analysis reveals a significant increase in the proportion of literature on EMO-LDA and AI-LDA before and during the COVID-19 pandemic.We also observe changes in research hotspots and trends in both field.Moreover,our results suggest that the collaborative research of EMO-LDA and AI-LDA is a promising direction for future research.In conclusion,our review highlights the urgent need for effective interventions to address the mental health challenges posed by the COVID-19 pandemic.Our findings suggest that the integration of AI in EMO-LDA research has the potential to provide new insights and solutions to support individuals facing loneliness,depression,and anxiety.And we hope that our study will inspire further research in this vital and revelant domin.

Emotional Mechanisms in Supervisor-Student Relationship:Evidence from Machine Learning and Investigation

How to cultivate innovative talents has become an important educational issue nowadays.In China’s long-term mentorship education environment,supervisor-student relationship often affects students’creativity.From the perspective of students’psychology,we explore the influence mechanism of supervisor-student relationship on creativity by machine learning and questionnaire survey.In Study 1,based on video interviews with 16 postgraduate students,we use the machine learning method to analyze the emotional states exhibited by the postgraduate students in the videos when associating them with the supervisor-student interaction scenario,finding that students have negative emotions in bad supervisor-student relationship.Subsequently,we further explore the impact of supervisor-student relationship on postgraduate students’development in supervisor-student interaction scenarios at the affective level.In Study 2,a questionnaire survey is conducted to explore the relationship between relevant variables,finding that a good supervisor-student relationship can significantly reduce power stereotype threat,decrease emotional labor surface behaviors,and promote creativity expression.The above results theoretically reveal the internal psychological processes by which supervisor-student relationship affects creativity,and have important implications for reducing emotional labor and enhancing creativity expression of postgraduate students.

Scalable salt-templated directed synthesis of high-quality MoS_(2) nanosheets powders towards energetic and environmental applications

Two-dimensional(2D)transition metal dichalcogenides(TMDCs)have emerged as perfect platforms for developing applications in nano-electronics,catalysis,energy storage and environmental-related fields due to their superior properties.However,the low-cost,batch production of high-quality 2D TMDCs remains a huge challenge with the existing synthetic strategies.Herein,we present a scalable chemical vapor deposition(CVD)approach for the batch production of high-quality MoS_(2) nanosheet powders,by using naturally abundant,water-soluble and recyclable NaCl crystal powders as templates.The high-quality MoS_(2) nanosheets powders are achieved by a facile water dissolution-filtration process,by virtue of the excellent dispersibility of the as-grown products in water.The internal mechanism for the scalable synthesis strategy is explored.The applications of the MoS_(2) nanosheets powders are also demonstrated as catalysts or adsorbents in hydrogen evolution reaction(HER)and organic dyes adsorption,respectively.This work should hereby pave ways for the mass production and application of powdery TMDCs in energetic and environmental related fields.

Active shape reconstruction using a novel visuotactile palm sensor

Tactile sensing enables high-precision 3D shape perception when vision is limited.However,tactilebased shape reconstruction remains a challenging problem.In this paper,a novel visuotactile sensor,GelStereo Palm 2.0,is proposed to better capture 3D contact geometry.Leveraging the dense tactile point cloud captured by GelStereo Palm 2.0,an active shape reconstruction pipeline is presented to achieve accurate and efficient 3D shape reconstruction on irregular surfaces.GelStereo Palm 2.0 achieves a spatial resolution of 1.5 mm and a reconstruction accuracy of 0.3 mm.The accuracy of the proposed active shape reconstruction pipeline reaches 2.3 mm within 18 explorations.The proposed method has potential applications in the shape reconstruction of transparent or underwater objects.