Continuous monitoring of biosignals is essential for advancing early disease detection,personalized treatment,and health management.Flexible electronics,capable of accurately monitoring biosignals in daily life,have g...Continuous monitoring of biosignals is essential for advancing early disease detection,personalized treatment,and health management.Flexible electronics,capable of accurately monitoring biosignals in daily life,have garnered considerable attention due to their softness,conformability,and biocompatibility.However,several challenges remain,including imperfect skin-device interfaces,limited breathability,and insufficient mechanoelectrical stability.On-skin epidermal electronics,distinguished by their excellent conformability,breathability,and mechanoelectrical robustness,offer a promising solution for high-fidelity,long-term health monitoring.These devices can seamlessly integrate with the human body,leading to transformative advancements in future personalized healthcare.This review provides a systematic examination of recent advancements in on-skin epidermal electronics,with particular emphasis on critical aspects including material science,structural design,desired properties,and practical applications.We explore various materials,considering their properties and the corresponding structural designs developed to construct high-performance epidermal electronics.We then discuss different approaches for achieving the desired device properties necessary for long-term health monitoring,including adhesiveness,breathability,and mechanoelectrical stability.Additionally,we summarize the diverse applications of these devices in monitoring biophysical and physiological signals.Finally,we address the challenges facing these devices and outline future prospects,offering insights into the ongoing development of on-skin epidermal electronics for long-term health monitoring.展开更多
Tilted metasurface nanostructures,with excellent physical properties and enormous application potential,pose an urgent need for manufacturing methods.Here,electric-field-driven generative-nanoimprinting technique is p...Tilted metasurface nanostructures,with excellent physical properties and enormous application potential,pose an urgent need for manufacturing methods.Here,electric-field-driven generative-nanoimprinting technique is proposed.The electric field applied between the template and the substrate drives the contact,tilting,filling,and holding processes.By accurately controlling the introduced included angle between the flexible template and the substrate,tilted nanostructures with a controllable angle are imprinted onto the substrate,although they are vertical on the template.By flexibly adjusting the electric field intensity and the included angle,large-area uniform-tilted,gradient-tilted,and high-angle-tilted nanostructures are fabricated.In contrast to traditional replication,the morphology of the nanoimprinting structure is extended to customized control.This work provides a cost-effective,efficient,and versatile technology for the fabrication of various large-area tilted metasurface structures.As an illustration,a tilted nanograting with a high coupling efficiency is fabricated and integrated into augmented reality displays,demonstrating superior imaging quality.展开更多
BACKGROUND Single-nucleotide polymorphisms(SNPs)of the serotonin type 3 receptor subunit(HTR3)genes have been associated with psychosomatic symptoms,but it is not clear whether these associations exist in irritable bo...BACKGROUND Single-nucleotide polymorphisms(SNPs)of the serotonin type 3 receptor subunit(HTR3)genes have been associated with psychosomatic symptoms,but it is not clear whether these associations exist in irritable bowel syndrome(IBS).AIM To assess the association of HTR3 polymorphisms with depressive,anxiety,and somatization symptoms in individuals with IBS.METHODS In this retrospective study,623 participants with IBS were recruited from five specialty centers in Germany,Sweden,the United States,the United Kingdom,and Ireland.Depressive,anxiety,and somatization symptoms and sociodemographic characteristics were collected.Four functional SNPs—HTR3A c.-42C>T,HTR3B c.386A>C,HTR3C c.489C>A,and HTR3E c.*76G>A—were genotyped and analyzed using the dominant and recessive models.We also performed separate analyses for sex and IBS subtypes.SNP scores were calculated as the number of minor alleles of the SNPs above.The impact of HTR3C c.489C>A was tested by radioligand-binding and calcium influx assays.RESULTS Depressive and anxiety symptoms significantly worsened with increasing numbers of minor HTR3C c.489C>A alleles in the dominant model(F_(depressive)=7.475,P_(depressive)=0.006;F_(anxiety)=6.535,P_(anxiety)=0.011).A higher SNP score(range 0-6)was linked to a worsened depressive symptoms score(F=7.710,P-linear trend=0.006)in IBS.The potential relevance of the HTR3C SNP was corroborated,showing changes in the expression level of 5-HT3AC variant receptors.CONCLUSION We have provided the first evidence that HTR3C c.489C>A is involved in depressive and anxiety symptoms in individuals with IBS.The SNP score indicated that an increasing number of minor alleles is linked to the worsening of depressive symptoms in IBS.展开更多
The metabolite lactate (L-lactate) can be generated and released by diverse brain cells,including neurons,astrocytes,and oligodendrocytes (Kann,2023;Rae et al.,2024).Lactate production usually requires the degradation...The metabolite lactate (L-lactate) can be generated and released by diverse brain cells,including neurons,astrocytes,and oligodendrocytes (Kann,2023;Rae et al.,2024).Lactate production usually requires the degradation of glucose (D-glucose)-and glycogen in astrocytes-to pyruvate by glycolysis and subsequent conversion of pyruvate to lactate by the enzyme lactate dehydrogenase(Figure 1A;Dienel,2019;Rae et al.,2024).展开更多
Point defect engineering endows catalysts with novel physical and chemical properties,elevating their electrocatalytic efficiency.The introduction of defects emerges as a promising strategy,effectively modifying the e...Point defect engineering endows catalysts with novel physical and chemical properties,elevating their electrocatalytic efficiency.The introduction of defects emerges as a promising strategy,effectively modifying the electronic structure of active sites.This optimization influences the adsorption energy of intermediates,thereby mitigating reaction energy barriers,altering paths,enhancing selectivity,and ultimately improving the catalytic efficiency of electrocatalysts.To elucidate the impact of defects on the electrocatalytic process,we comprehensively outline the roles of various point defects,their synthetic methodologies,and characterization techniques.Importantly,we consolidate insights into the relationship between point defects and catalytic activity for hydrogen/oxygen evolution and CO_(2)/O_(2)/N_(2) reduction reactions by integrating mechanisms from diverse reactions.This underscores the pivotal role of point defects in enhancing catalytic performance.At last,the principal challenges and prospects associated with point defects in current electrocatalysts are proposed,emphasizing their role in advancing the efficiency of electrochemical energy storage and conversion materials.展开更多
The single-layer Ti_(3)C_(2)T_(x)/MXene has become a special electromagnetic wave absorber near the terahertz band because of its abundant surface groups and excellent conductivity.However,the macro-preparation of sin...The single-layer Ti_(3)C_(2)T_(x)/MXene has become a special electromagnetic wave absorber near the terahertz band because of its abundant surface groups and excellent conductivity.However,the macro-preparation of single-layer Ti_(3)C_(2)T_(x)/MXene shows significantly difficult to influence its application.The two-dimensional Ti_(3)C_(2)T_(x)is easily prepared to have high production,but its weak absorption ability due to high surface conductivity also restricts its application.To realize the strong electromagnetic wave absorption of two-dimensional Ti_(3)C_(2)T_(x)/MXene,a new strategy with magnetic FeNi nanoparticles decorating Ti_(3)C_(2)T_(x)/MXene composites(FeNi-Ti_(3)C_(2)T_(x))were proposed and the effective electromagnetic wave absorption features covering 170-220 GHz that means the absorption band width reach 50 GHz.With an absorber composite film thickness being only 0.6 mm,the absorptivity of the composite is enhanced with the increase of decorating FeNi nanoparticles and promote up to 75%when the FeNi nanoparticles loading content reaches 30 wt%.The improvement of absorption is attributed to the introduction of soft magnetic FeNi to adjust the high surface conductivity of MXene and improve the electromagnetic balance of the absorber.展开更多
We theoretically explore a non-Hermitian superfluid model with complex-valued interaction, inspired by two-body loss stemming from inelastic scattering observed in ultracold atomic experiments. Utilizing both the righ...We theoretically explore a non-Hermitian superfluid model with complex-valued interaction, inspired by two-body loss stemming from inelastic scattering observed in ultracold atomic experiments. Utilizing both the right-eigenstate-based mean-field theory and its biorthogonal counterpart, we study the properties of the system. Notably, the right-eigenstate-based framework produces smooth and continuous solutions, in stark contrast to the absence of nontrivial solutions and the abrupt discontinuities observed in the biorthogonal-eigenstatebased framework under moderate dissipation. In addition, the lower condensation energy obtained in the former framework suggests its superior suitability for describing this system. Furthermore, we explore the impact of backscattering, a crucial factor in realistic systems. Our analysis reveals that, facilitated by two-body loss, even moderate backscattering destabilizes the superfluid state. Sufficiently strong backscattering completely destroys it, highlighting a key mechanism for the fragility of this non-Hermitian quantum phase.展开更多
This is a writeup of lectures delivered at the Asian Pacific Introductory School on Superstring and Related Topics in Beijing(2006)and an expanded version of these lectures given at the Third Summer School on Strings,...This is a writeup of lectures delivered at the Asian Pacific Introductory School on Superstring and Related Topics in Beijing(2006)and an expanded version of these lectures given at the Third Summer School on Strings,Fields and Holography in Nanjing(2023).It aims to provide both a historical and pedagogical account of developments in finding 1/2 Bogomol?nyi–Prasad–Sommerfield(BPS)extended string solitons during the early stage of the so-called second string revolution,before which these objects were thought to be unrelated to strings.Nonsupersymmetric solutions related to brane/anti brane systems or non-BPS systems are also discussed.展开更多
Noble metal-loaded layered hydroxides exhibit high efficiency in electrocatalyzing water splitting.However,their widespread use as bifunctional electrocatalysts is hindered by low metal loading,inefficient yield,and c...Noble metal-loaded layered hydroxides exhibit high efficiency in electrocatalyzing water splitting.However,their widespread use as bifunctional electrocatalysts is hindered by low metal loading,inefficient yield,and complex synthesis processes.In this work,platinum atoms were anchored onto nickel-iron layered double hydroxide/carbon nanotube(LDH/CNT)hybrid electrocatalysts by using a straightforward milling technique with K_(2)Pt Cl_(6)·6H_(2)O as the Pt source.By adjusting the Pt-to-Fe ratio to 1/2 and 1/10,excellent electrocatalysts—Pt_(1/6)-Ni_(2/3)Fe_(1/3)-LDH/CNT and Pt_(1/30)-Ni_(2/3)Fe_(1/3)-LDH/CNT—were achieved with superior performance in hydrogen evolution reaction(HER)and oxygen evolution reaction(OER),outperforming the corresponding commercial Pt/C(20 wt%)and Ru O_(2)electrocatalysts.The enhanced electrochemical performance is attributed to the modification of Pt's electronic structure,which exhibits electron-rich states for HER and electrondeficient states for OER,significantly boosting Pt's electrochemical activity.Furthermore,the simple milling technology for controlling Pt loading offers a promising approach for scaling up the production of electrocatalysts.展开更多
Nitrogenous compounds(i.e.,amines,amides,nitriles,oximes,amino acids and nitrogen-heterocycles derivatives)are important building blocks for synthetic chemistry,pharmaceuticals,and functional materials.Conventional sy...Nitrogenous compounds(i.e.,amines,amides,nitriles,oximes,amino acids and nitrogen-heterocycles derivatives)are important building blocks for synthetic chemistry,pharmaceuticals,and functional materials.Conventional synthetic strategies involve the use of toxic organic nitrogenous precursors or expensive heterogeneous catalysts under elevated temperatures and pressurized oxygen.Heterogeneous electrocatalysis can initiate the activation of inorganic N sources(i.e.,NH_(3)and NO^(-)_(x))under ambient reactions in liquid phase by applying a small bias,thus allowing the synthesis of value?added nitrogenous compounds from carbonyls,alkenes,keto acids,and even carbon dioxide in a sustainable manner without the use of oxidants/reductants.This review outlines recent de-velopments in electrosynthesis of nitrogenous compounds using inorganic N sources,focusing on reaction mechanisms understanding,the design and optimization of efficient electrocatalysts,and the advances in cell configurations for various C‒N coupling reactions.The limitations and challenges in applications are also discussed.展开更多
Electrochemical synthesis of value-added chemicals represents a promising approach to address multidisciplinary demands.This technology establishes direct pathways for electricity-to-chemical conversion while signific...Electrochemical synthesis of value-added chemicals represents a promising approach to address multidisciplinary demands.This technology establishes direct pathways for electricity-to-chemical conversion while significantly reducing the carbon footprint of chemical manufacturing.It simultaneously optimizes chemical energy storage and grid management,offering sustainable solutions for renewable energy utilization and overcoming geographical constraints in energy distribution.As a critical nexus between renewable energy and green chemistry,electrochemical synthesis serves dual roles in energy transformation and chemical production,emerging as a vital component in developing carbon-neutral circular economies.Focusing on key small molecules(H_(2)O,CO_(2),N_(2),O_(2)),this comment examines fundamental scientific challenges and practical barriers in electrocatalytic conversion processes,bridging laboratory innovations with industrial-scale implementation.展开更多
In this work,we re-investigate a classical mathematical model of untreated HIV infection suggested by Kirschner and introduce a novel non-standard finite-difference method for its numerical solution.As our first contr...In this work,we re-investigate a classical mathematical model of untreated HIV infection suggested by Kirschner and introduce a novel non-standard finite-difference method for its numerical solution.As our first contribution,we establish non-negativity,boundedness of some solution components,existence globally in time,and uniqueness on a time interval[0,T]for an arbitrary T>0 for the time-continuous problem which extends known results of Kirschner’s model in the literature.As our second analytical result,we establish different equilibrium states and examine their stability properties in the time-continuous setting or discuss some numerical tools to evaluate this question.Our third contribution is the formulation of a non-standard finite-difference method which preserves non-negativity,boundedness of some time-discrete solution components,equilibria,and their stabilities.As our final theoretical result,we prove linear convergence of our non-standard finite-difference-formulation towards the time-continuous solution.Conclusively,we present numerical examples to illustrate our theoretical findings.展开更多
This article presents a human fall detection system that addresses two critical challenges:privacy preservation and detection accuracy.We propose a comprehensive framework that integrates state-of-the-art machine lear...This article presents a human fall detection system that addresses two critical challenges:privacy preservation and detection accuracy.We propose a comprehensive framework that integrates state-of-the-art machine learning models,multimodal data fusion,federated learning(FL),and Karush-Kuhn-Tucker(KKT)-based resource optimization.The systemfuses data fromwearable sensors and cameras using Gramian Angular Field(GAF)encoding to capture rich spatial-temporal features.To protect sensitive data,we adopt a privacy-preserving FL setup,where model training occurs locally on client devices without transferring raw data.A custom convolutional neural network(CNN)is designed to extract robust features from the fused multimodal inputs under FL constraints.To further improve efficiency,a KKT-based optimization strategy is employed to allocate computational tasks based on device capacity.Evaluated on the UP-Fall dataset,the proposed system achieves 91%accuracy,demonstrating its effectiveness in detecting human falls while ensuring data privacy and resource efficiency.This work contributes to safer,scalable,and real-world-applicable fall detection for elderly care.展开更多
Rare earth metal elements include lanthanide elements as well as scandium and yttrium,totaling seventeen metal elements.Due to the wide application prospects of rare earth metal elements in various fields such as lumi...Rare earth metal elements include lanthanide elements as well as scandium and yttrium,totaling seventeen metal elements.Due to the wide application prospects of rare earth metal elements in various fields such as luminescent materials,magnetic materials,catalytic materials,electronic devices,they have an important strategic position.In the field of electrocatalysis,rare earth metal elements have great potential for development due to their unique 4f electron layer structure,spin orbit coupling,high reactivity,controllable coordination number,and rich optical properties.However,there is currently a lack of systematic reviews on the modification strategies of rare earth metal elements and the latest developments in electrocatalysis.Therefore,in order to stimulate the enthusiasm of researchers,this review focuses on the application progress of rare earth metal element modified metal oxides in multiple fields such as wastewater treatment,hydrogen peroxide synthesis,hydrogen evolution reaction(HER),carbon dioxide reduction reaction(CO_(2)RR),nitrogen reduction reaction(NRR)and machine learning assisted research.In depth analysis of its electrocatalytic mechanism in various application scenarios and key factors affecting electrocatalytic performance.This review is of great significance for further developing high-performance and multifunctional electrocatalysts,and is expected to provide strong support for the development of energy,environment,and chemical industries.展开更多
Wind energy has emerged as a potential replacement for fossil fuel-based energy sources.To harness maximum wind energy,a crucial decision in the development of an efficient wind farm is the optimal layout design.This ...Wind energy has emerged as a potential replacement for fossil fuel-based energy sources.To harness maximum wind energy,a crucial decision in the development of an efficient wind farm is the optimal layout design.This layout defines the specific locations of the turbines within the wind farm.The process of finding the optimal locations of turbines,in the presence of various technical and technological constraints,makes the wind farm layout design problem a complex optimization problem.This problem has traditionally been solved with nature-inspired algorithms with promising results.The performance and convergence of nature-inspired algorithms depend on several parameters,among which the algorithm termination criterion plays a crucial role.Timely convergence is an important aspect of efficient algorithm design because an inefficient algorithm results in wasted computational resources,unwarranted electricity consumption,and hardware stress.This study provides an in-depth analysis of several termination criteria while using the genetic algorithm as a test bench,with its application to the wind farm layout design problem while considering various wind scenarios.The performance of six termination criteria is empirically evaluated with respect to the quality of solutions produced and the execution time involved.Due to the conflicting nature of these two attributes,fuzzy logic-based multi-attribute decision-making is employed in the decision process.Results for the fuzzy decision approach indicate that among the various criteria tested,the criterion Phi achieves an improvement in the range of 2.44%to 32.93%for wind scenario 1.For scenario 2,Best-worst termination criterion performed well compared to the other criteria evaluated,with an improvement in the range of 1.2%to 9.64%.For scenario 3,Hitting bound was the best performer with an improvement of 1.16%to 20.93%.展开更多
Batteries play a crucial role in the storage and application of sustainable energy,yet their inherent safety risks are non-negligible.Traditional monitoring methods often suffer from high costs,time consumption,and li...Batteries play a crucial role in the storage and application of sustainable energy,yet their inherent safety risks are non-negligible.Traditional monitoring methods often suffer from high costs,time consumption,and limited scalability,making it increasingly difficult to meet the evolving demands of modern society.In this context,recent advancements in machine learning technology have emerged as a promising solution for predicting and monitoring battery states,offering innovative approaches to battery management systems(BMS).By transforming raw operational data into actionable insights,machine learning has shifted the paradigm from reactive to predictive battery safety management,significantly enhancing system reliability and risk mitigation capabilities.This review delves into the implementation of machine learning in battery state prediction,including dataset selection,feature extraction,and model training.It also highlights the latest progress of these models in key applications such as state of health(SOH),state of charge(SOC),thermal runaway warning,fault detection,and remaining useful life(RUL).Finally,we critically examined the challenges and opportunities associated with leveraging machine learning to improve battery safety and performance,providing a comprehensive perspective for future research in this rapidly advancing field.展开更多
With the exponential growth of portable electronic devices and wearable technologies,batteries are currently required to deliver not only high energy density and extended cycling performance but also enhanced safety a...With the exponential growth of portable electronic devices and wearable technologies,batteries are currently required to deliver not only high energy density and extended cycling performance but also enhanced safety and exceptional durability.Inspired by the self-repair mechanism observed in natural systems,a self-healing strategy shows great application potential in enabling batteries to resist external physical and chemical damage.In this review,we provide a detailed exploration of the application of self-healing materials in battery components,including electrodes,electrolytes,and encapsulation layers.We also analyze the advantages and limitations of various self-healing mechanisms,highlighting their roles in optimizing battery performance.By presenting a comprehensive synthesis of existing research,the potential pathways for advancing the development of self-healing batteries are identified,as well as the key challenges and opportunities within this field.This review aims to promote the practical integration of self-healing batteries in smart and flexible electronic devices,paving the way for safer,more reliable,and long-lasting energy storage systems.展开更多
Maintaining the integrity and longevity of structures is essential in many industries,such as aerospace,nuclear,and petroleum.To achieve the cost-effectiveness of large-scale systems in petroleum drilling,a strong emp...Maintaining the integrity and longevity of structures is essential in many industries,such as aerospace,nuclear,and petroleum.To achieve the cost-effectiveness of large-scale systems in petroleum drilling,a strong emphasis on structural durability and monitoring is required.This study focuses on the mechanical vibrations that occur in rotary drilling systems,which have a substantial impact on the structural integrity of drilling equipment.The study specifically investigates axial,torsional,and lateral vibrations,which might lead to negative consequences such as bit-bounce,chaotic whirling,and high-frequency stick-slip.These events not only hinder the efficiency of drilling but also lead to exhaustion and harm to the system’s components since they are difficult to be detected and controlled in real time.The study investigates the dynamic interactions of these vibrations,specifically in their high-frequency modes,usingfield data obtained from measurement while drilling.Thefindings have demonstrated the effect of strong coupling between the high-frequency modes of these vibrations on drilling sys-tem performance.The obtained results highlight the importance of considering the interconnected impacts of these vibrations when designing and implementing robust control systems.Therefore,integrating these compo-nents can increase the durability of drill bits and drill strings,as well as improve the ability to monitor and detect damage.Moreover,by exploiting thesefindings,the assessment of structural resilience in rotary drilling systems can be enhanced.Furthermore,the study demonstrates the capacity of structural health monitoring to improve the quality,dependability,and efficiency of rotary drilling systems in the petroleum industry.展开更多
Benefiting from the widespread potential applications in the era of the Internet of Thing and metaverse,triboelectric and piezoelectric nanogenerators(TENG&PENG)have attracted considerably increasing attention.The...Benefiting from the widespread potential applications in the era of the Internet of Thing and metaverse,triboelectric and piezoelectric nanogenerators(TENG&PENG)have attracted considerably increasing attention.Their outstanding characteristics,such as self-powered ability,high output performance,integration compatibility,cost-effectiveness,simple configurations,and versatile operation modes,could effectively expand the lifetime of vastly distributed wearable,implantable,and environmental devices,eventually achieving self-sustainable,maintenance-free,and reliable systems.However,current triboelectric/piezoelectric based active(i.e.self-powered)sensors still encounter serious bottlenecks in continuous monitoring and multimodal applications due to their intrinsic limitations of monomodal kinetic response and discontinuous transient output.This work systematically summarizes and evaluates the recent research endeavors to address the above challenges,with detailed discussions on the challenge origins,designing strategies,device performance,and corresponding diverse applications.Finally,conclusions and outlook regarding the research gap in self-powered continuous multimodal monitoring systems are provided,proposing the necessity of future research development in this field.展开更多
Rare earth luminescent materials have attracted extensive attention in the biomedical field as noncontact temperature monitoring devices with microscopic resolution due to their properties in the visible and near-infr...Rare earth luminescent materials have attracted extensive attention in the biomedical field as noncontact temperature monitoring devices with microscopic resolution due to their properties in the visible and near-infrared regions.At the application level,it is required to have a certain temperature monitoring capability in the near-infrared region II window to enhance the tissue penetration depth.Here,two kinds of YOFs:Er^(3+),Yb^(3+)were prepared by co-precipitation and hydrothermal method,and the luminescence was enhanced by ion doping.An Er^(3+)-based ratiometric nanothermometer of ^(4)F_(9∕2)→4 I_(15∕2)(672nm,upconversion luminescence)to ^(4)I _(13∕2)→^(4) I_(15∕2)(1580nm/1566nm,NIR II downshifting luminescence)were designed with the Stark energy level.When doped with 2%Zn^(2+),the relative temperature sensitivity of YOF prepared by co-precipitation method was improved from 0.30%℃^(-1)(30℃)to 0.59%℃^(-1)(30℃),expanding its use as a temperature monitoring device possibility.The temperature sensitivity of YOF prepared by hydrothermal method was 1.01%℃^(-1)(30℃).Finally,the NIR II luminescence of the prepared nanothermometer was used as a control for temperature monitoring of heating sites in mice.The results showed that it can distinguish heating site from control site and no significant cytotoxicity or damage to the tissues was revealed,indicating its broad prospects in the biomedical field and other temperature monitoring scenarios in the future.展开更多
基金supported by National Natural Science Foundation of China(Grant Nos.52025055,52375576,52350349)Key Research and Development Program of Shaanxi(Program No.2022GXLH-01-12)+2 种基金Joint Fund of Ministry of Education for Equipment Pre-research(No.8091B03012304)Aeronautical Science Foundation of China(No.2022004607001)the Fundamental Research Funds for the Central Universities(No.xtr072024031).
文摘Continuous monitoring of biosignals is essential for advancing early disease detection,personalized treatment,and health management.Flexible electronics,capable of accurately monitoring biosignals in daily life,have garnered considerable attention due to their softness,conformability,and biocompatibility.However,several challenges remain,including imperfect skin-device interfaces,limited breathability,and insufficient mechanoelectrical stability.On-skin epidermal electronics,distinguished by their excellent conformability,breathability,and mechanoelectrical robustness,offer a promising solution for high-fidelity,long-term health monitoring.These devices can seamlessly integrate with the human body,leading to transformative advancements in future personalized healthcare.This review provides a systematic examination of recent advancements in on-skin epidermal electronics,with particular emphasis on critical aspects including material science,structural design,desired properties,and practical applications.We explore various materials,considering their properties and the corresponding structural designs developed to construct high-performance epidermal electronics.We then discuss different approaches for achieving the desired device properties necessary for long-term health monitoring,including adhesiveness,breathability,and mechanoelectrical stability.Additionally,we summarize the diverse applications of these devices in monitoring biophysical and physiological signals.Finally,we address the challenges facing these devices and outline future prospects,offering insights into the ongoing development of on-skin epidermal electronics for long-term health monitoring.
基金supported by National Natural Science Foundation of China(No.52025055 and 52275571)Basic Research Operation Fund of China(No.xzy012024024).
文摘Tilted metasurface nanostructures,with excellent physical properties and enormous application potential,pose an urgent need for manufacturing methods.Here,electric-field-driven generative-nanoimprinting technique is proposed.The electric field applied between the template and the substrate drives the contact,tilting,filling,and holding processes.By accurately controlling the introduced included angle between the flexible template and the substrate,tilted nanostructures with a controllable angle are imprinted onto the substrate,although they are vertical on the template.By flexibly adjusting the electric field intensity and the included angle,large-area uniform-tilted,gradient-tilted,and high-angle-tilted nanostructures are fabricated.In contrast to traditional replication,the morphology of the nanoimprinting structure is extended to customized control.This work provides a cost-effective,efficient,and versatile technology for the fabrication of various large-area tilted metasurface structures.As an illustration,a tilted nanograting with a high coupling efficiency is fabricated and integrated into augmented reality displays,demonstrating superior imaging quality.
基金results in part from collaboration and network activities promoted under the frame of the international network GENIEUR (Genes in Irritable Bowel Syndrome Research Network Europe),which has been funded by the COST program (BM1106, www.GENIEUR.eu)currently supported by the European Society of Neurogastroenterology and Motility (ESNM, www.ESNM.eu)
文摘BACKGROUND Single-nucleotide polymorphisms(SNPs)of the serotonin type 3 receptor subunit(HTR3)genes have been associated with psychosomatic symptoms,but it is not clear whether these associations exist in irritable bowel syndrome(IBS).AIM To assess the association of HTR3 polymorphisms with depressive,anxiety,and somatization symptoms in individuals with IBS.METHODS In this retrospective study,623 participants with IBS were recruited from five specialty centers in Germany,Sweden,the United States,the United Kingdom,and Ireland.Depressive,anxiety,and somatization symptoms and sociodemographic characteristics were collected.Four functional SNPs—HTR3A c.-42C>T,HTR3B c.386A>C,HTR3C c.489C>A,and HTR3E c.*76G>A—were genotyped and analyzed using the dominant and recessive models.We also performed separate analyses for sex and IBS subtypes.SNP scores were calculated as the number of minor alleles of the SNPs above.The impact of HTR3C c.489C>A was tested by radioligand-binding and calcium influx assays.RESULTS Depressive and anxiety symptoms significantly worsened with increasing numbers of minor HTR3C c.489C>A alleles in the dominant model(F_(depressive)=7.475,P_(depressive)=0.006;F_(anxiety)=6.535,P_(anxiety)=0.011).A higher SNP score(range 0-6)was linked to a worsened depressive symptoms score(F=7.710,P-linear trend=0.006)in IBS.The potential relevance of the HTR3C SNP was corroborated,showing changes in the expression level of 5-HT3AC variant receptors.CONCLUSION We have provided the first evidence that HTR3C c.489C>A is involved in depressive and anxiety symptoms in individuals with IBS.The SNP score indicated that an increasing number of minor alleles is linked to the worsening of depressive symptoms in IBS.
文摘The metabolite lactate (L-lactate) can be generated and released by diverse brain cells,including neurons,astrocytes,and oligodendrocytes (Kann,2023;Rae et al.,2024).Lactate production usually requires the degradation of glucose (D-glucose)-and glycogen in astrocytes-to pyruvate by glycolysis and subsequent conversion of pyruvate to lactate by the enzyme lactate dehydrogenase(Figure 1A;Dienel,2019;Rae et al.,2024).
基金supported by the National Natural Science Foundation of China(U21A20281)the Special Fund for Young Teachers from Zhengzhou University(JC23557030,JC23257011)+1 种基金the Key Research Projects of Higher Education Institutions of Henan Province(24A530009)the Project of Zhongyuan Critical Metals Laboratory(GJJSGFYQ202336).
文摘Point defect engineering endows catalysts with novel physical and chemical properties,elevating their electrocatalytic efficiency.The introduction of defects emerges as a promising strategy,effectively modifying the electronic structure of active sites.This optimization influences the adsorption energy of intermediates,thereby mitigating reaction energy barriers,altering paths,enhancing selectivity,and ultimately improving the catalytic efficiency of electrocatalysts.To elucidate the impact of defects on the electrocatalytic process,we comprehensively outline the roles of various point defects,their synthetic methodologies,and characterization techniques.Importantly,we consolidate insights into the relationship between point defects and catalytic activity for hydrogen/oxygen evolution and CO_(2)/O_(2)/N_(2) reduction reactions by integrating mechanisms from diverse reactions.This underscores the pivotal role of point defects in enhancing catalytic performance.At last,the principal challenges and prospects associated with point defects in current electrocatalysts are proposed,emphasizing their role in advancing the efficiency of electrochemical energy storage and conversion materials.
基金supported by the National Key R&D Program of China(Nos.2023YFF0718303 and 2022YFB3504804)the National Natural Science Foundation of China(Nos.51871219,52031014 and 52401255)the Science and Technology Project of Shenyang City(No.22-101-0-27).
文摘The single-layer Ti_(3)C_(2)T_(x)/MXene has become a special electromagnetic wave absorber near the terahertz band because of its abundant surface groups and excellent conductivity.However,the macro-preparation of single-layer Ti_(3)C_(2)T_(x)/MXene shows significantly difficult to influence its application.The two-dimensional Ti_(3)C_(2)T_(x)is easily prepared to have high production,but its weak absorption ability due to high surface conductivity also restricts its application.To realize the strong electromagnetic wave absorption of two-dimensional Ti_(3)C_(2)T_(x)/MXene,a new strategy with magnetic FeNi nanoparticles decorating Ti_(3)C_(2)T_(x)/MXene composites(FeNi-Ti_(3)C_(2)T_(x))were proposed and the effective electromagnetic wave absorption features covering 170-220 GHz that means the absorption band width reach 50 GHz.With an absorber composite film thickness being only 0.6 mm,the absorptivity of the composite is enhanced with the increase of decorating FeNi nanoparticles and promote up to 75%when the FeNi nanoparticles loading content reaches 30 wt%.The improvement of absorption is attributed to the introduction of soft magnetic FeNi to adjust the high surface conductivity of MXene and improve the electromagnetic balance of the absorber.
基金financially supported by the National Key Research and Development Program of China (Grant No.2024YFA1409001)the National Natural Science Foundation of China (Grants Nos.12374037 and 12204044)+1 种基金the Strategic Priority Research Program of the Chinese Academy of Sciences (Grant No.XDB28000000)the Fundamental Research Funds for the Central Universities。
文摘We theoretically explore a non-Hermitian superfluid model with complex-valued interaction, inspired by two-body loss stemming from inelastic scattering observed in ultracold atomic experiments. Utilizing both the right-eigenstate-based mean-field theory and its biorthogonal counterpart, we study the properties of the system. Notably, the right-eigenstate-based framework produces smooth and continuous solutions, in stark contrast to the absence of nontrivial solutions and the abrupt discontinuities observed in the biorthogonal-eigenstatebased framework under moderate dissipation. In addition, the lower condensation energy obtained in the former framework suggests its superior suitability for describing this system. Furthermore, we explore the impact of backscattering, a crucial factor in realistic systems. Our analysis reveals that, facilitated by two-body loss, even moderate backscattering destabilizes the superfluid state. Sufficiently strong backscattering completely destroys it, highlighting a key mechanism for the fragility of this non-Hermitian quantum phase.
基金the support by grants from the NNSF of China with Grant Nos.12275264 and 12247103。
文摘This is a writeup of lectures delivered at the Asian Pacific Introductory School on Superstring and Related Topics in Beijing(2006)and an expanded version of these lectures given at the Third Summer School on Strings,Fields and Holography in Nanjing(2023).It aims to provide both a historical and pedagogical account of developments in finding 1/2 Bogomol?nyi–Prasad–Sommerfield(BPS)extended string solitons during the early stage of the so-called second string revolution,before which these objects were thought to be unrelated to strings.Nonsupersymmetric solutions related to brane/anti brane systems or non-BPS systems are also discussed.
基金supported by the Natural Science Foundation of Henan(242300421230)the Young Teacher Fundamental Research Cultivation Program of Zhengzhou University(JC23557030)the National Natural Science Foundation of China(U21A20281 and 22208322)。
文摘Noble metal-loaded layered hydroxides exhibit high efficiency in electrocatalyzing water splitting.However,their widespread use as bifunctional electrocatalysts is hindered by low metal loading,inefficient yield,and complex synthesis processes.In this work,platinum atoms were anchored onto nickel-iron layered double hydroxide/carbon nanotube(LDH/CNT)hybrid electrocatalysts by using a straightforward milling technique with K_(2)Pt Cl_(6)·6H_(2)O as the Pt source.By adjusting the Pt-to-Fe ratio to 1/2 and 1/10,excellent electrocatalysts—Pt_(1/6)-Ni_(2/3)Fe_(1/3)-LDH/CNT and Pt_(1/30)-Ni_(2/3)Fe_(1/3)-LDH/CNT—were achieved with superior performance in hydrogen evolution reaction(HER)and oxygen evolution reaction(OER),outperforming the corresponding commercial Pt/C(20 wt%)and Ru O_(2)electrocatalysts.The enhanced electrochemical performance is attributed to the modification of Pt's electronic structure,which exhibits electron-rich states for HER and electrondeficient states for OER,significantly boosting Pt's electrochemical activity.Furthermore,the simple milling technology for controlling Pt loading offers a promising approach for scaling up the production of electrocatalysts.
基金Ren Su thanks the NSFC(No.22472112)the Suzhou Foreign Academician Workstation(No.SWY2022001)for financial supports。
文摘Nitrogenous compounds(i.e.,amines,amides,nitriles,oximes,amino acids and nitrogen-heterocycles derivatives)are important building blocks for synthetic chemistry,pharmaceuticals,and functional materials.Conventional synthetic strategies involve the use of toxic organic nitrogenous precursors or expensive heterogeneous catalysts under elevated temperatures and pressurized oxygen.Heterogeneous electrocatalysis can initiate the activation of inorganic N sources(i.e.,NH_(3)and NO^(-)_(x))under ambient reactions in liquid phase by applying a small bias,thus allowing the synthesis of value?added nitrogenous compounds from carbonyls,alkenes,keto acids,and even carbon dioxide in a sustainable manner without the use of oxidants/reductants.This review outlines recent de-velopments in electrosynthesis of nitrogenous compounds using inorganic N sources,focusing on reaction mechanisms understanding,the design and optimization of efficient electrocatalysts,and the advances in cell configurations for various C‒N coupling reactions.The limitations and challenges in applications are also discussed.
文摘Electrochemical synthesis of value-added chemicals represents a promising approach to address multidisciplinary demands.This technology establishes direct pathways for electricity-to-chemical conversion while significantly reducing the carbon footprint of chemical manufacturing.It simultaneously optimizes chemical energy storage and grid management,offering sustainable solutions for renewable energy utilization and overcoming geographical constraints in energy distribution.As a critical nexus between renewable energy and green chemistry,electrochemical synthesis serves dual roles in energy transformation and chemical production,emerging as a vital component in developing carbon-neutral circular economies.Focusing on key small molecules(H_(2)O,CO_(2),N_(2),O_(2)),this comment examines fundamental scientific challenges and practical barriers in electrocatalytic conversion processes,bridging laboratory innovations with industrial-scale implementation.
文摘In this work,we re-investigate a classical mathematical model of untreated HIV infection suggested by Kirschner and introduce a novel non-standard finite-difference method for its numerical solution.As our first contribution,we establish non-negativity,boundedness of some solution components,existence globally in time,and uniqueness on a time interval[0,T]for an arbitrary T>0 for the time-continuous problem which extends known results of Kirschner’s model in the literature.As our second analytical result,we establish different equilibrium states and examine their stability properties in the time-continuous setting or discuss some numerical tools to evaluate this question.Our third contribution is the formulation of a non-standard finite-difference method which preserves non-negativity,boundedness of some time-discrete solution components,equilibria,and their stabilities.As our final theoretical result,we prove linear convergence of our non-standard finite-difference-formulation towards the time-continuous solution.Conclusively,we present numerical examples to illustrate our theoretical findings.
基金supported by King Fahd University of Petroleum&Minerals,Dhahran,31261,SaudiArabiaTheauthors at KFUP Macknowledge the Interdisciplinary Research Center for Intelligent Secure Systems(IRC-ISS)for the support received under Grant No.INSS2516.
文摘This article presents a human fall detection system that addresses two critical challenges:privacy preservation and detection accuracy.We propose a comprehensive framework that integrates state-of-the-art machine learning models,multimodal data fusion,federated learning(FL),and Karush-Kuhn-Tucker(KKT)-based resource optimization.The systemfuses data fromwearable sensors and cameras using Gramian Angular Field(GAF)encoding to capture rich spatial-temporal features.To protect sensitive data,we adopt a privacy-preserving FL setup,where model training occurs locally on client devices without transferring raw data.A custom convolutional neural network(CNN)is designed to extract robust features from the fused multimodal inputs under FL constraints.To further improve efficiency,a KKT-based optimization strategy is employed to allocate computational tasks based on device capacity.Evaluated on the UP-Fall dataset,the proposed system achieves 91%accuracy,demonstrating its effectiveness in detecting human falls while ensuring data privacy and resource efficiency.This work contributes to safer,scalable,and real-world-applicable fall detection for elderly care.
基金supported by the National Key Research and Development Program of China(No.2023YFC3708005)The Fundamental Research Funds for the Central Universities,Nankai University(No.63241208)supported by the National Natural Science Foundation of China(Nos.21872102 and 22172080)。
文摘Rare earth metal elements include lanthanide elements as well as scandium and yttrium,totaling seventeen metal elements.Due to the wide application prospects of rare earth metal elements in various fields such as luminescent materials,magnetic materials,catalytic materials,electronic devices,they have an important strategic position.In the field of electrocatalysis,rare earth metal elements have great potential for development due to their unique 4f electron layer structure,spin orbit coupling,high reactivity,controllable coordination number,and rich optical properties.However,there is currently a lack of systematic reviews on the modification strategies of rare earth metal elements and the latest developments in electrocatalysis.Therefore,in order to stimulate the enthusiasm of researchers,this review focuses on the application progress of rare earth metal element modified metal oxides in multiple fields such as wastewater treatment,hydrogen peroxide synthesis,hydrogen evolution reaction(HER),carbon dioxide reduction reaction(CO_(2)RR),nitrogen reduction reaction(NRR)and machine learning assisted research.In depth analysis of its electrocatalytic mechanism in various application scenarios and key factors affecting electrocatalytic performance.This review is of great significance for further developing high-performance and multifunctional electrocatalysts,and is expected to provide strong support for the development of energy,environment,and chemical industries.
基金funded by King Fahd University of Petroleum&Minerals,Saudi Arabia under IRC-SES grant#INRE 2217.
文摘Wind energy has emerged as a potential replacement for fossil fuel-based energy sources.To harness maximum wind energy,a crucial decision in the development of an efficient wind farm is the optimal layout design.This layout defines the specific locations of the turbines within the wind farm.The process of finding the optimal locations of turbines,in the presence of various technical and technological constraints,makes the wind farm layout design problem a complex optimization problem.This problem has traditionally been solved with nature-inspired algorithms with promising results.The performance and convergence of nature-inspired algorithms depend on several parameters,among which the algorithm termination criterion plays a crucial role.Timely convergence is an important aspect of efficient algorithm design because an inefficient algorithm results in wasted computational resources,unwarranted electricity consumption,and hardware stress.This study provides an in-depth analysis of several termination criteria while using the genetic algorithm as a test bench,with its application to the wind farm layout design problem while considering various wind scenarios.The performance of six termination criteria is empirically evaluated with respect to the quality of solutions produced and the execution time involved.Due to the conflicting nature of these two attributes,fuzzy logic-based multi-attribute decision-making is employed in the decision process.Results for the fuzzy decision approach indicate that among the various criteria tested,the criterion Phi achieves an improvement in the range of 2.44%to 32.93%for wind scenario 1.For scenario 2,Best-worst termination criterion performed well compared to the other criteria evaluated,with an improvement in the range of 1.2%to 9.64%.For scenario 3,Hitting bound was the best performer with an improvement of 1.16%to 20.93%.
基金supported by the National Key Research and Development Program of China(No.2021YFF0500600)Natural Science Foundation of Henan Province(No.252300421176)+1 种基金National Natural Science Foundation of China(No.22478361 and No.22108256)Frontier Exploration Projects of Longmen Laboratory(No.LMQYTSKT021)。
文摘Batteries play a crucial role in the storage and application of sustainable energy,yet their inherent safety risks are non-negligible.Traditional monitoring methods often suffer from high costs,time consumption,and limited scalability,making it increasingly difficult to meet the evolving demands of modern society.In this context,recent advancements in machine learning technology have emerged as a promising solution for predicting and monitoring battery states,offering innovative approaches to battery management systems(BMS).By transforming raw operational data into actionable insights,machine learning has shifted the paradigm from reactive to predictive battery safety management,significantly enhancing system reliability and risk mitigation capabilities.This review delves into the implementation of machine learning in battery state prediction,including dataset selection,feature extraction,and model training.It also highlights the latest progress of these models in key applications such as state of health(SOH),state of charge(SOC),thermal runaway warning,fault detection,and remaining useful life(RUL).Finally,we critically examined the challenges and opportunities associated with leveraging machine learning to improve battery safety and performance,providing a comprehensive perspective for future research in this rapidly advancing field.
基金supported by the National Natural Science Foundation of China(Grant No.22479130)Natural Science Foundation of Henan(Grant No.252300421170)China Postdoctoral Science Foundation(Grant No.2023M743150).
文摘With the exponential growth of portable electronic devices and wearable technologies,batteries are currently required to deliver not only high energy density and extended cycling performance but also enhanced safety and exceptional durability.Inspired by the self-repair mechanism observed in natural systems,a self-healing strategy shows great application potential in enabling batteries to resist external physical and chemical damage.In this review,we provide a detailed exploration of the application of self-healing materials in battery components,including electrodes,electrolytes,and encapsulation layers.We also analyze the advantages and limitations of various self-healing mechanisms,highlighting their roles in optimizing battery performance.By presenting a comprehensive synthesis of existing research,the potential pathways for advancing the development of self-healing batteries are identified,as well as the key challenges and opportunities within this field.This review aims to promote the practical integration of self-healing batteries in smart and flexible electronic devices,paving the way for safer,more reliable,and long-lasting energy storage systems.
文摘Maintaining the integrity and longevity of structures is essential in many industries,such as aerospace,nuclear,and petroleum.To achieve the cost-effectiveness of large-scale systems in petroleum drilling,a strong emphasis on structural durability and monitoring is required.This study focuses on the mechanical vibrations that occur in rotary drilling systems,which have a substantial impact on the structural integrity of drilling equipment.The study specifically investigates axial,torsional,and lateral vibrations,which might lead to negative consequences such as bit-bounce,chaotic whirling,and high-frequency stick-slip.These events not only hinder the efficiency of drilling but also lead to exhaustion and harm to the system’s components since they are difficult to be detected and controlled in real time.The study investigates the dynamic interactions of these vibrations,specifically in their high-frequency modes,usingfield data obtained from measurement while drilling.Thefindings have demonstrated the effect of strong coupling between the high-frequency modes of these vibrations on drilling sys-tem performance.The obtained results highlight the importance of considering the interconnected impacts of these vibrations when designing and implementing robust control systems.Therefore,integrating these compo-nents can increase the durability of drill bits and drill strings,as well as improve the ability to monitor and detect damage.Moreover,by exploiting thesefindings,the assessment of structural resilience in rotary drilling systems can be enhanced.Furthermore,the study demonstrates the capacity of structural health monitoring to improve the quality,dependability,and efficiency of rotary drilling systems in the petroleum industry.
基金supported by the National Key R&D Program of China(Grant Nos.2022YFB3603403,2021YFB3600502)the National Natural Science Foundation of China(Grant Nos.62075040,62301150)+3 种基金the Southeast University Interdisciplinary Research Program for Young Scholars(2024FGC1007)the Start-up Research Fund of Southeast University(RF1028623164)the Nanjing Science and Technology Innovation Project for Returned Overseas Talent(4206002302)the Fundamental Research Funds for the Central Universities(2242024K40015).
文摘Benefiting from the widespread potential applications in the era of the Internet of Thing and metaverse,triboelectric and piezoelectric nanogenerators(TENG&PENG)have attracted considerably increasing attention.Their outstanding characteristics,such as self-powered ability,high output performance,integration compatibility,cost-effectiveness,simple configurations,and versatile operation modes,could effectively expand the lifetime of vastly distributed wearable,implantable,and environmental devices,eventually achieving self-sustainable,maintenance-free,and reliable systems.However,current triboelectric/piezoelectric based active(i.e.self-powered)sensors still encounter serious bottlenecks in continuous monitoring and multimodal applications due to their intrinsic limitations of monomodal kinetic response and discontinuous transient output.This work systematically summarizes and evaluates the recent research endeavors to address the above challenges,with detailed discussions on the challenge origins,designing strategies,device performance,and corresponding diverse applications.Finally,conclusions and outlook regarding the research gap in self-powered continuous multimodal monitoring systems are provided,proposing the necessity of future research development in this field.
基金supported by the Key Research and Development Program of Shaanxi(Program No.2023-YBSF-479)the National Natural Science Foundation of China(NSFC 22075249)the Fundamental Research Funds for the Central Universities.
文摘Rare earth luminescent materials have attracted extensive attention in the biomedical field as noncontact temperature monitoring devices with microscopic resolution due to their properties in the visible and near-infrared regions.At the application level,it is required to have a certain temperature monitoring capability in the near-infrared region II window to enhance the tissue penetration depth.Here,two kinds of YOFs:Er^(3+),Yb^(3+)were prepared by co-precipitation and hydrothermal method,and the luminescence was enhanced by ion doping.An Er^(3+)-based ratiometric nanothermometer of ^(4)F_(9∕2)→4 I_(15∕2)(672nm,upconversion luminescence)to ^(4)I _(13∕2)→^(4) I_(15∕2)(1580nm/1566nm,NIR II downshifting luminescence)were designed with the Stark energy level.When doped with 2%Zn^(2+),the relative temperature sensitivity of YOF prepared by co-precipitation method was improved from 0.30%℃^(-1)(30℃)to 0.59%℃^(-1)(30℃),expanding its use as a temperature monitoring device possibility.The temperature sensitivity of YOF prepared by hydrothermal method was 1.01%℃^(-1)(30℃).Finally,the NIR II luminescence of the prepared nanothermometer was used as a control for temperature monitoring of heating sites in mice.The results showed that it can distinguish heating site from control site and no significant cytotoxicity or damage to the tissues was revealed,indicating its broad prospects in the biomedical field and other temperature monitoring scenarios in the future.
