The digital-intelligent era presents both opportunities and challenges for specialized course education in universities.Based on the fundamental task of fostering virtue through education,this study takes the course“...The digital-intelligent era presents both opportunities and challenges for specialized course education in universities.Based on the fundamental task of fostering virtue through education,this study takes the course“Design and Guidance of Science Play Performance Activities”as an example to explore practical pathways for integrating ideological and political education into specialized courses within a digital-intelligent context.Employing literature review and action research methodologies,the study constructs a digital-intelligent teaching model,develops digital ideological and political resources,innovates teaching methods,and systematically identifies and deeply integrates ideological and political elements into the curriculum.Through practical validation,the research summarizes a curriculum design framework grounded in Tyler’s principles and a digital-intelligent teaching model based on BOPPPS,providing transferable pathways for ideological and political education in specialized courses.Furthermore,it offers theoretical support and practical references for the deep integration and innovative application of digital-intelligent technologies in education.展开更多
The main purpose of this paper is to investigate the singularities of solutions to the single Tricomi equation with derivative term and combined memory term.In addition,the blow-up of the solution to the weakly couple...The main purpose of this paper is to investigate the singularities of solutions to the single Tricomi equation with derivative term and combined memory term.In addition,the blow-up of the solution to the weakly coupled system with memory term is also considered,where one is a power nonlinear term and the other is a derivative nonlinear term.Upper bound lifespan estimates of solution are obtained in the sub-critical by utilizing the test function method and iteration technique.The innovation of this paper focuses on the lifespan estimates of the solutions,which extends the well-known Strauss and Glassey conjectures.展开更多
The outbreak of infectious diseases is the result of a combination of various factors,including season,the movement of individuals,non-pharmaceutical interventions(NPIs)and the effectiveness and availability of vaccin...The outbreak of infectious diseases is the result of a combination of various factors,including season,the movement of individuals,non-pharmaceutical interventions(NPIs)and the effectiveness and availability of vaccines.Taking these key elements into consideration,an almost periodic SVEIR warning model in the patch environment is here proposed.First,in terms of reproduction numbers,our results imply that if the effective reproduction numbers are R_(e)<1,then the disease dies out;if R_(e)>1,then the disease spreads and leads to local outbreaks.Second,the relationships between R_(e)and C_(s1),C_(a1)(see Section 2)are given by numerical simulations.The numerical results show that even if all people are vaccinated,NPIs are still needed because of the potentially low efficacy of vaccines.Furthermore,the numerical results suggest that NPIs and the strengthening of the effective rate of vaccination are essential in order to achieve herd immunity.Theories involving this model effectively explain the transmission mechanism of most infectious diseases,and provide a valuable theoretical basis for analyzing new infectious diseases in the future.Moreover,this model is helpful for the prevention and control of infectious diseases and the formulation of public health safety policies.展开更多
0 INTRODUCTION Throughout human history,three major energy transitions have occurred:from burning wood in primitive times to using coal in 18th Century,then to oil and gas in 20th Century,and to the renewable energy r...0 INTRODUCTION Throughout human history,three major energy transitions have occurred:from burning wood in primitive times to using coal in 18th Century,then to oil and gas in 20th Century,and to the renewable energy revolution in the 21st Century(Zou et al.,2023).The three transitions have three characteristics in common:shifted from nonrenewable to renewable energy,from“resource-centric”to a“technology-centric”,and from“high-carbon fossil”to“net-zero”.展开更多
Multiple sclerosis is a severe autoimmune disorder that is mainly mediated by pathogenic cluster of CD4^(+)T cell subsets.Despite advancements in the management of multiple sclerosis,there is a critical need for more ...Multiple sclerosis is a severe autoimmune disorder that is mainly mediated by pathogenic cluster of CD4^(+)T cell subsets.Despite advancements in the management of multiple sclerosis,there is a critical need for more effective and safer treatments.In the present study,we administered Lycium barbarum glycopeptide to a mouse model of experimental autoimmune encephalomyelitis-an animal model of multiple sclerosis-and evaluated its effects on pathogenic CD4^(+)T cell activation both in vivo and in vitro.Lycium barbarum glycopeptide significantly mitigated the clinical severity of experimental autoimmune encephalomyelitis,as demonstrated by reduced demyelination and neuroinflammation.Moreover,Lycium barbarum glycopeptide treatment decreased the infiltration of peripheral leukocytes into the central nervous system and suppressed pro-inflammatory cytokine expression.Lycium barbarum glycopeptide also modulated pathogenic CD4^(+)T cell activation by inhibiting T helper 1/T helper 17 cell differentiation while promoting regulatory T cell expansion.Notably,no side effects were observed,suggesting the long-term safety and tolerability of Lycium barbarum glycopeptide.Furthermore,RNA sequencing data indicated that Lycium barbarum glycopeptide inhibits activator protein-1,an essential regulator of T cell activation and differentiation.This finding was supported by the reversal of T helper/T helper 17 cell response suppression upon AP-1 blockade.Collectively,these results highlight the potential of Lycium barbarum glycopeptide as an innovative therapeutic agent for CD4^(+)T cell-associated autoimmune or inflammatory diseases,such as multiple sclerosis.展开更多
Manganese residue,including electrolytic manganese residue(EMR)and electrolytic manganese dioxide residue(EMDR),have complicated compositions and are easily generated heavy metals(HMs)and ammonia nitrogen(NH_(4)^(+)-N...Manganese residue,including electrolytic manganese residue(EMR)and electrolytic manganese dioxide residue(EMDR),have complicated compositions and are easily generated heavy metals(HMs)and ammonia nitrogen(NH_(4)^(+)-N)pollution.In this study,HMs and NH_(4)^(+)-N in manganese residue were stabilized and solidified using a combined remediation system of quicklime(CaO),carbon dioxide(CO_(2)),and manganese mineralizing microbes.The sequencing of the manganese mineralizing microbes assemblage revealed that Pseudomonas geniculata,Leclercia adecaarboxylata,Ochrobactrum spp.,and Delftia tsuruhatensis comprised the majority of the assemblage species.Moreover,the manganese mineralizing microbes that were identified by screening and isolation exhibited significant metal resistance,metal absorption,and metal detoxifying abilities according to KEGG pathway level 2 analysis.The NH_(4)^(+)-N levels in the manganese residue across all treatments exhibited a downward trend,meanwhile NH_(4)^(+)-N in the manganese mineralizing microbes treatment groups were all lower than the GB standard(GB8979–1996).The findings of the experiment indicated that when manganese mineralizing microbes(1%M),0.2 L/min CO_(2) flow,and a carbonization time of>15 min were added,the greatest effect of the addition of the innocuous manganese residue was obtained.The innocuous manganese residue exhibited agglomeration and may be utilized as a filler material,according to the XRD,SEM,and EDS results.In this study,manganese mineralizing microbes,CaO and CO_(2) treated HMs and NH_(4)^(+)-N in manganese residue,achieving general industrial solid waste standards,demonstrating potential for large-scale harmless treatment.展开更多
With the rise of AI-assisted education,many instructors and engineers seek to deliver high-quality programming courses online.However,crafting effective programming lectures remains a challenge,particularly for instru...With the rise of AI-assisted education,many instructors and engineers seek to deliver high-quality programming courses online.However,crafting effective programming lectures remains a challenge,particularly for instructors lacking pedagogical training or multilingual fluency.We present CourseAgent,a prompt-driven framework that leverages large language models(LLMs)to automatically generate Python tutorials,structured lecture scripts,and accompanying audio narrations.CourseAgent accepts raw code as input and transforms it into segmented,well-commented code blocks,adapting content to different difficulty levels and languages via prompt customization.Our system supports multilingual instruction(e.g.,Chinese,English),fine-grained control of pedagogical depth,and auto-generation of lecture videos.We evaluate the output generated by CourseAgent using real student feedback and feedback from in-service teachers,alongside automated assessments from LLMs.These evaluations demonstrate that the materials produced by CourseAgent are coherent,pedagogically sound,and comparable in quality to those created by experienced instructors.CourseAgent lowers the barrier to quality programming education and shows promise for scalable,personalized,and language-adaptive content generation.展开更多
The rapid growth of biomedical data,particularly multi-omics data including genomes,transcriptomics,proteomics,metabolomics,and epigenomics,medical research and clinical decision-making confront both new opportunities...The rapid growth of biomedical data,particularly multi-omics data including genomes,transcriptomics,proteomics,metabolomics,and epigenomics,medical research and clinical decision-making confront both new opportunities and obstacles.The huge and diversified nature of these datasets cannot always be managed using traditional data analysis methods.As a consequence,deep learning has emerged as a strong tool for analysing numerous omics data due to its ability to handle complex and non-linear relationships.This paper explores the fundamental concepts of deep learning and how they are used in multi-omics medical data mining.We demonstrate how autoencoders,variational autoencoders,multimodal models,attention mechanisms,transformers,and graph neural networks enable pattern analysis and recognition across all omics data.Deep learning has been found to be effective in illness classification,biomarker identification,gene network learning,and therapeutic efficacy prediction.We also consider critical problems like as data quality,model explainability,whether findings can be repeated,and computational power requirements.We now consider future elements of combining omics with clinical and imaging data,explainable AI,federated learning,and real-time diagnostics.Overall,this study emphasises the need of collaborating across disciplines to advance deep learning-based multi-omics research for precision medicine and comprehending complicated disorders.展开更多
This research presents a detailed ab initio density functional theory(DFT)analysis on magnetic,thermoelectric,and optoelectronic properties of CaPr_(2)(S/Se)_(4) executed by Wien2k and Boltztrap2 packages for spintron...This research presents a detailed ab initio density functional theory(DFT)analysis on magnetic,thermoelectric,and optoelectronic properties of CaPr_(2)(S/Se)_(4) executed by Wien2k and Boltztrap2 packages for spintronic energy applications.The density of states,optimization energy,and negative formation energy all support the stability of the ferromagnetic state.The spin polarization density and Curie temperature(310 and 289 K)are also reported.In addition,the double exchange model,hybridization,density of states,band structures,exchange constants,exchange energies,and crystal field energies are addressed to ensure ferromagnetism by the spin of electrons.The magnetic moment of Pr shifts to Ca and S/Se sites,revealing that ferromagnetism is due to electron spin,not clustering of Pr magnetic ions.Thermoelectrics were evaluated by electrical conductivity(σ),thermal conductivity(k_(e)),Seebeck coefficient(S),power factor(S^(2)),and figures of merit(ZT).The room tempe rature values of S(0.169,0.183 mV/K)and ZT(0.76,0.90)increase their thermoelectric performance.Furthermore,dielectric function,refractive index,absorption coefficientα(ω),reflectivity R(ω),and other parameters are demonstrated in detail.Therefore,researchers can develop materials with the potential for spintronic and energy harvesting.展开更多
The inverse slope method (ISM) was used to interpret electric sounding data to determine the geoelectric parameters of the alteration zones (continuous media) and rocky environments (discontinuous environments) of the...The inverse slope method (ISM) was used to interpret electric sounding data to determine the geoelectric parameters of the alteration zones (continuous media) and rocky environments (discontinuous environments) of the Bouna Department. Having both qualitative and quantitative interpretation, the inverse slope method (ISM) has the ability to determine the different geoelectric layers while characterizing their resistivities and true thicknesses. In the Bouna department, this method allowed us to count a maximum of four (4) geoelectric layers with a total thickness ranging from 12.99 m to 24.66 m. The alteration thicknesses calculated by the ISM in comparison with those measured in the boreholes showed a linear agreement of the coefficient of determination R2 = 0.8269 with the support of the Nash criterion which showed that this method gave thicknesses of alteration close to 76.76% of that obtained during the drillings.展开更多
Photo-assisted Li-O2 batteries(LOBs)have remained a prominent and growing field over the past several years.However,the presence of slow oxygen reduction reaction(ORR)and oxygen evolution reaction(OER),large charging ...Photo-assisted Li-O2 batteries(LOBs)have remained a prominent and growing field over the past several years.However,the presence of slow oxygen reduction reaction(ORR)and oxygen evolution reaction(OER),large charging and discharging overpotentials,and unstable cycle life lead to low energy efficiency,thus limiting their commercial application.The rational design and synthesis of photocathode materials are effective ways to solve the above existing problems of photo-assisted LOB systems.Herein,the recent advances in the design and preparation of photocathode materials for photo-assisted LOBs were summarized in this review.First,we summarize the basic principles and comprehension of the reaction mechanism for photo-assisted LOBs.The second part introduces the latest research progress on photocathode materials.The third section describes the relationship between the structureproperties and electrochemistry of different photocathodes.In addition,attempts to construct efficient photocathode materials for photo-assisted LOBs through vacancy engineering,localized surface plasmon resonance(LSPR),and heterojunction engineering are mainly discussed.Finally,a discussion of attempts to construct efficient photocathode materials using other approaches is also presented.This work will motivate the preparation of stable and efficient photocathode materials for photo-assisted LOBs and aims to promote the commercial application of rechargeable photo-assisted LOBs energy storage.展开更多
The interesting nanomaterials that have developed quickly in the latest years and have a lot of significance in the biomedical industry are nanocelluloses (NCs). This tendency is in line with the growing need for main...The interesting nanomaterials that have developed quickly in the latest years and have a lot of significance in the biomedical industry are nanocelluloses (NCs). This tendency is in line with the growing need for maintainable materials that will enhance wellbeing and prolong human life, as well as the need to stay up to date with medical technological advancements. Based on the most desirable characteristics of nanocellulose, a variety of novel, useful materials with a broad scope of biomedical applications have been developed. NCs-based materials have garnered a lot of interest in medical applications due to their obtainability, biodegradability, affordability, biocompatibility, sustainability, exceptional mechanical qualities and low cytotoxicity. For the year 2022, the medical field more specifically, biosensors, drug delivery, wound dressing, tissue engineering, and medical implants, represents more than 60% of all the disciplines in which NCs are utilized. Domains, including wrapping, purification of air, ultrafiltration, elimination of pollutants, acoustics, account for around 40% of the entire number of other applications [1]. The overview of nanocellulose for medical applications is briefly reviewed in the first section of this paper. The second section explains how nanocelluloses can be modified for use in medicine. Chemically altering nanocellulose to create hydrogels, nanogels, and nanocomposites, as well as altering the surface for use in biomedicine. The review also discusses the benefits of nanocellulose over the existing technologies in the biomedical field. The final section discusses how nanocelluloses are used in the biomedical field.展开更多
Research conducted in U Minh Thuong National Park to assess carbon storage from fires and water on forest growth and regeneration.In 2003 after forest fire,measures were implemented to promote forest regeneration,affo...Research conducted in U Minh Thuong National Park to assess carbon storage from fires and water on forest growth and regeneration.In 2003 after forest fire,measures were implemented to promote forest regeneration,afforestation,and rainwater storage,aim to prevent future forest fires.Investigating established in 2023 on the thicknesses of(20–40 cm),(40–60 cm),(60–80 cm)of the 500 m2 per plot,with 5 replications,measuring growth and analyzing peat chemistry.Contents include:Assessing changes in peat and carbon reserves Melaleuca forests before and after forest fires;analysis of peat and water chemical properties during seasonal floods,assessing Melaleuca growth,and the relationship between soil chemistry and growth due to higher water levels 20 years after forest fire.The results show a large volume of peat and carbon reserves,accumulated over thousands of years,destroyed by forest fires;lost in large quantities due to frequent flooding,leading to organic matter decomposition.Melaleuca grows slowly and death ratio increases after 20 years.Study also determined soil and water chemistry by seasonal flood;relationship between peat chemical indicators and Melaleuca growth on peat thickness.Results assessed the total peat volume and carbon stocks accumulated over thousands of years of Melaleuca Forest history,the effects of forest fires and water management on growth and chemical relationships,particularly after above-normal water levels were observed for 20 years.Results are research changes in peat.展开更多
In this paper,we first generalize the constant dimension and orbit codes over finite fields to the constant rank and orbit codes over finite chain rings.Then we provide a relationship between constant rank codes over ...In this paper,we first generalize the constant dimension and orbit codes over finite fields to the constant rank and orbit codes over finite chain rings.Then we provide a relationship between constant rank codes over finite chain rings and constant dimension codes over the residue fields.In particular,we prove that an orbit submodule code over a finite chain ring is a constant rank code.Finally,for special finite chain ring F_(q)+γF_(q),we define a Gray mapφfrom(F_(q)+γF_(q))^(n)to F^(2n)_(q),and by using cyclic codes over F_(q)+γF_(q),we obtain a method of constructing an optimum distance constant dimension code over F_(q).展开更多
Fuel station drive-offs,wherein the drivers simply drive off without paying,are a major issue in the UK(United Kingdom)due to rising fuel costs and financial hardships.The phenomenon has increased greatly over the las...Fuel station drive-offs,wherein the drivers simply drive off without paying,are a major issue in the UK(United Kingdom)due to rising fuel costs and financial hardships.The phenomenon has increased greatly over the last few years,with reports indicating a substantial increase in such events in the major cities.Traditional prevention measures such as Avutec and Driveoffalert rely primarily on expensive infrastructure and blacklisted databases.Such systems typically involve costly camera installation andmaintenance and are consequently out of the budget of small fuel stations.These conventional approaches also fall short regarding real-time recognition,particularly regarding first-time impostors using fictitious plates,which represent an increasingly significant proportion of such forgery.This research presents an AI(Artificial Intelligence)-driven detection system using the MOT(Ministry of Transport)History API(Application Programming Interface)to scan in real-time at gas stations to recognize and prevent such fraud.The system integrates various state-of-the-art technologies to offer a foolproof system.Using the latestYOLO(YouOnly Look Once)model to recognize number plates and EasyOCR(Optical Character Recognition)to recognize characters,the system correctly reads license plates in various environmental conditions like lighting,viewpoint,and weather conditions.This approach minimizes the utilization of expensive camera systems and employs cheaper ANPR(AutomaticNumber Plate Recognition)gear,availing existing installed surveillance cameras on filling stations.The system operates with a basic web-based application to notify operators of stolen vehicles in real-time,enabling them to react immediately.Real-world testing achieves 84%success with CCTV(Closed-Circuit Television)images,depicting its real-world applicability.The results indicate that the AI-driven solution offers a monumental leap compared to current practices,giving fuel stations a cost-effective and efficient means of reducing financial loss from drive-off incidents.展开更多
Yeast-based models have become a powerful platform in pharmaceutical research,offering significant potential for producing complex drugs,vaccines,and therapeutic agents.While many current drugs were discovered before ...Yeast-based models have become a powerful platform in pharmaceutical research,offering significant potential for producing complex drugs,vaccines,and therapeutic agents.While many current drugs were discovered before fully understanding their molecular mechanisms,yeast systems now provide valuable insights for drug discovery and personalized medicine.Recent advancements in genetic engineering,metabolic engineering,and synthetic biology have improved the efficiency and scalability of yeast-based production systems,enabling more sustainable and cost-effective manufacturing processes.This paper reviews the latest developments in yeast-based technologies,focusing on their use as model organisms to study disease mechanisms,identify drug targets,and develop novel therapies.We highlight key platforms such as the yeast two-hybrid system,surface display technologies,and optimized expression systems.Additionally,we explore the future integration of yeast engineering with artificial intelligence(AI),machine learning(ML),and advanced genome editing technologies like CRISPR/Cas9,which are expected to accelerate drug discovery and enable personalized therapies.Furthermore,yeast-based systems are increasingly employed in largescale drug production,vaccine development,and therapeutic protein expression,offering promising applications in clinical and industrial settings.This paper discusses the practical implications of these systems and their potential to revolutionize drug development,paving the way for safer,more effective therapies.展开更多
Cinnamon was a significant commodity in the spice trade along the Silk Road and was popular throughout Asia,Europe,and Africa,where it has been widely used in medicine,religion,and daily life from ancient times to the...Cinnamon was a significant commodity in the spice trade along the Silk Road and was popular throughout Asia,Europe,and Africa,where it has been widely used in medicine,religion,and daily life from ancient times to the present day.This paper examines the ancient literature related to cinnamon from a global perspective,exploring its origins,spread,and medicinal uses documented in various traditional medicine.It aims to uncover the exchange of medicinal knowledge among civilizations along the Silk Road and the contribution of traditional Chinese medicine(TCM)to medical practices worldwide.The findings indicate that China and Southeast Asia were the primary sources of cinnamon used in the West during ancient times,with Persian and Arab traders playing a crucial role in its transmission from East to West.The common and unique applications of cinnamon in various medical traditions illustrate the dynamic flow of medicinal knowledge across regions and highlight the distinct strengths and characteristics of traditional medicines shaped by diverse cultural backgrounds.Taking cinnamon as an example,this study demonstrates how the westward spread of traditional Chinese medicines promoted the exchange and integration of medical knowledge among countries along the Silk Road.It contributes to understanding the patterns of medical knowledge dissemination between the ancient East and West,with medicines as the carrier for cultural exchange.展开更多
The physical examination of the fruit of soursop fruit (Annona muricata) selected from different parent trees was investigated. Three-stage modified Soxhlet method was used which includes a percolator (boiler and refl...The physical examination of the fruit of soursop fruit (Annona muricata) selected from different parent trees was investigated. Three-stage modified Soxhlet method was used which includes a percolator (boiler and reflux) which circulates the solvent, a thimble (usually made of thick filter paper) which retains the seed to be extracted, and a siphon mechanism, which periodically empties the condensed solvent from the thimble back into the percolator. The extraction of oil from the seed and the percentage yield was examined. The oil samples were characterized for physico-chemical properties. The maximum values of physical parameters found were fruit weight 3.7 ± 7.09, fruit length 12.2 ± 28.3 cm, with 15.2 ± 20.81 cm and 0.12 ± 18.91 g for pulp weight. The percentage oil yield of 48.5% was obtained due to the environmental factors such as the soil type, planting season and optimal temperature of the region of seed cultivation. The result of chemical properties showed maximum acid value 0.46 mg KOH, FFA of 0.33 mg, saponification of 189.4 mg KOH mg and peroxide value of 4.33 mg/g. The oil physical properties as discovered have a melting point of 32˚C, smoke point of 198˚C and flash point of 280˚C. The results obtained in this study further reveal the potential of oil from seed of soursop as a substitute for conventional vegetable oil due to its high flash point which is an indication of its low flammability and can be used as a good source of food, industrially can be used as an anti-microbial agent and for pest control.展开更多
Accurate measurement of anchor rod length is crucial for ensuring structural safety in tunnel engineering,yet conventional destructive techniques face limitations in efficiency and adaptability to complex underground ...Accurate measurement of anchor rod length is crucial for ensuring structural safety in tunnel engineering,yet conventional destructive techniques face limitations in efficiency and adaptability to complex underground environments.This study presents a novel wireless instrument based on the standing wave principle to enable remote,non-destructive length assessment.The system employs a master-slave architecture,where a handheld transmitter unit initiates measurements through robust 433 MHz wireless communication,optimized for signal penetration in obstructed spaces.The embedded measurement unit,integrated with anchor rods during installation,utilizes frequency-scanning technology to excite structural resonances.By analyzing standing wave characteristics,anchor length is derived from a calibrated frequency-length relationship.Power management adopts a standby-activation strategy to minimize energy consumption while maintaining operational readiness.Experimental validation confirms the system effectively measures anchor lengths with high precision and maintains reliable signal transmission through thick concrete barriers,demonstrating suitability for tunnel deployment.The non-destructive approach eliminates structural damage risks associated with traditional pull-out tests,while wireless operation enhances inspection efficiency in confined spaces.Thiswork establishes a paradigmfor embedded structural healthmonitoring in tunneling,offering significant improvements over existing methods in safety,cost-effectiveness,and scalability.The technology holds promise for broad applications in mining,underground infrastructure,and geotechnical engineering.展开更多
基金funded by the Scientific Research Project of Lingnan Normal Universitythe following projects and centers at Lingnan Normal University:the Special Project on Party Building and Ideological-Political Education—“Practical Research on‘Curriculum Ideology and Politics’in Universities under the Concept of‘Three-Wide Education’”(WD2424)+1 种基金the Science Education Special Project—“Research on Implementation Strategies for High-Quality Development of Science Popularization Education Based on Scientific Activities”(KX2404)the Ideological-Political Education Teaching Demonstration Center of the School of Physics(PX-4825706).
文摘The digital-intelligent era presents both opportunities and challenges for specialized course education in universities.Based on the fundamental task of fostering virtue through education,this study takes the course“Design and Guidance of Science Play Performance Activities”as an example to explore practical pathways for integrating ideological and political education into specialized courses within a digital-intelligent context.Employing literature review and action research methodologies,the study constructs a digital-intelligent teaching model,develops digital ideological and political resources,innovates teaching methods,and systematically identifies and deeply integrates ideological and political elements into the curriculum.Through practical validation,the research summarizes a curriculum design framework grounded in Tyler’s principles and a digital-intelligent teaching model based on BOPPPS,providing transferable pathways for ideological and political education in specialized courses.Furthermore,it offers theoretical support and practical references for the deep integration and innovative application of digital-intelligent technologies in education.
基金Supported by National Natural Science Foundation of China Under Grant(12401647)Supported by Fundamental Research Program of Shanxi Province(202203021212336)+2 种基金Taiyuan Institute of Technology Scientific Research Initial Funding(2023KJ057,2024KJ007,2024LJ005)Supported by Scientific and Technologial Innovation Programs of Higher Education Institutions in Shanxi(2024L358)Youth Program of Taiyuan University(24TYQN10)。
文摘The main purpose of this paper is to investigate the singularities of solutions to the single Tricomi equation with derivative term and combined memory term.In addition,the blow-up of the solution to the weakly coupled system with memory term is also considered,where one is a power nonlinear term and the other is a derivative nonlinear term.Upper bound lifespan estimates of solution are obtained in the sub-critical by utilizing the test function method and iteration technique.The innovation of this paper focuses on the lifespan estimates of the solutions,which extends the well-known Strauss and Glassey conjectures.
基金supported by the NSFC(11501269)and the Natural Science Foundation of Gansu Province(23JRRA1041).
文摘The outbreak of infectious diseases is the result of a combination of various factors,including season,the movement of individuals,non-pharmaceutical interventions(NPIs)and the effectiveness and availability of vaccines.Taking these key elements into consideration,an almost periodic SVEIR warning model in the patch environment is here proposed.First,in terms of reproduction numbers,our results imply that if the effective reproduction numbers are R_(e)<1,then the disease dies out;if R_(e)>1,then the disease spreads and leads to local outbreaks.Second,the relationships between R_(e)and C_(s1),C_(a1)(see Section 2)are given by numerical simulations.The numerical results show that even if all people are vaccinated,NPIs are still needed because of the potentially low efficacy of vaccines.Furthermore,the numerical results suggest that NPIs and the strengthening of the effective rate of vaccination are essential in order to achieve herd immunity.Theories involving this model effectively explain the transmission mechanism of most infectious diseases,and provide a valuable theoretical basis for analyzing new infectious diseases in the future.Moreover,this model is helpful for the prevention and control of infectious diseases and the formulation of public health safety policies.
基金supported by the National Natural Science Foundation of China“Quantitative characterization of lacustrine shale oil mobility based on nano-scale oil-rock interactions”(No.42172180)Science and Technology Research Project for the China National Petroleum Corporation“Source-reservoir characteristics and sweet spot evaluation for terrestrial shale oil in China”(No.2021DJ1802)。
文摘0 INTRODUCTION Throughout human history,three major energy transitions have occurred:from burning wood in primitive times to using coal in 18th Century,then to oil and gas in 20th Century,and to the renewable energy revolution in the 21st Century(Zou et al.,2023).The three transitions have three characteristics in common:shifted from nonrenewable to renewable energy,from“resource-centric”to a“technology-centric”,and from“high-carbon fossil”to“net-zero”.
基金supported by the National Natural Science Foundational of China,Nos.U24A20692(to CJZ),82371355(to CJZ),and 82101414(to MH)National NaturalScience Foundational of China for Excellent Young Scholars,No.82022019(to CJZ)+5 种基金Sichuan Special Fund for Distinguished Young Scholars,No.24NSFJQ0052(to CJZ)The Innovationand Entrepreneurial Team of Sichuan Tianfu Emei Program,No.CZ2024018(to CJZ)Funding for Distinguished Young Scholars of Sichuan Provincial People’sHospital,No.30420230005Funding for Distinguished Young Scholars of University of Electronic Science and Technology of China,No.A1098531023601381(toCJZ)Sichuan Science and Technology Support Project,No.2023YFS0212(to BH)Project of Sichuan Provincial Health Commission,No.19PJ265(to LD).
文摘Multiple sclerosis is a severe autoimmune disorder that is mainly mediated by pathogenic cluster of CD4^(+)T cell subsets.Despite advancements in the management of multiple sclerosis,there is a critical need for more effective and safer treatments.In the present study,we administered Lycium barbarum glycopeptide to a mouse model of experimental autoimmune encephalomyelitis-an animal model of multiple sclerosis-and evaluated its effects on pathogenic CD4^(+)T cell activation both in vivo and in vitro.Lycium barbarum glycopeptide significantly mitigated the clinical severity of experimental autoimmune encephalomyelitis,as demonstrated by reduced demyelination and neuroinflammation.Moreover,Lycium barbarum glycopeptide treatment decreased the infiltration of peripheral leukocytes into the central nervous system and suppressed pro-inflammatory cytokine expression.Lycium barbarum glycopeptide also modulated pathogenic CD4^(+)T cell activation by inhibiting T helper 1/T helper 17 cell differentiation while promoting regulatory T cell expansion.Notably,no side effects were observed,suggesting the long-term safety and tolerability of Lycium barbarum glycopeptide.Furthermore,RNA sequencing data indicated that Lycium barbarum glycopeptide inhibits activator protein-1,an essential regulator of T cell activation and differentiation.This finding was supported by the reversal of T helper/T helper 17 cell response suppression upon AP-1 blockade.Collectively,these results highlight the potential of Lycium barbarum glycopeptide as an innovative therapeutic agent for CD4^(+)T cell-associated autoimmune or inflammatory diseases,such as multiple sclerosis.
基金supported by the National Natural Science Foundation of China(No.42177392)the Dean’s Research Fund(Nos.2022-23,ref:IRS-4+3 种基金2023/24,ref:IRS-6)of the Education University of Hong KongHunan Provincial Graduate Student Innovation Program(No.CX20240276)Central South University Graduate School-Enterprise Joint Innovation Project(No.2024XQLH011)supported by microbial sequencing from Novomore Biotechnology,Changsha,China.
文摘Manganese residue,including electrolytic manganese residue(EMR)and electrolytic manganese dioxide residue(EMDR),have complicated compositions and are easily generated heavy metals(HMs)and ammonia nitrogen(NH_(4)^(+)-N)pollution.In this study,HMs and NH_(4)^(+)-N in manganese residue were stabilized and solidified using a combined remediation system of quicklime(CaO),carbon dioxide(CO_(2)),and manganese mineralizing microbes.The sequencing of the manganese mineralizing microbes assemblage revealed that Pseudomonas geniculata,Leclercia adecaarboxylata,Ochrobactrum spp.,and Delftia tsuruhatensis comprised the majority of the assemblage species.Moreover,the manganese mineralizing microbes that were identified by screening and isolation exhibited significant metal resistance,metal absorption,and metal detoxifying abilities according to KEGG pathway level 2 analysis.The NH_(4)^(+)-N levels in the manganese residue across all treatments exhibited a downward trend,meanwhile NH_(4)^(+)-N in the manganese mineralizing microbes treatment groups were all lower than the GB standard(GB8979–1996).The findings of the experiment indicated that when manganese mineralizing microbes(1%M),0.2 L/min CO_(2) flow,and a carbonization time of>15 min were added,the greatest effect of the addition of the innocuous manganese residue was obtained.The innocuous manganese residue exhibited agglomeration and may be utilized as a filler material,according to the XRD,SEM,and EDS results.In this study,manganese mineralizing microbes,CaO and CO_(2) treated HMs and NH_(4)^(+)-N in manganese residue,achieving general industrial solid waste standards,demonstrating potential for large-scale harmless treatment.
基金supported by the Zhejiang Province Leading Geese Plan(Grant No.2025C02025)the Guangdong Province Primary and Secondary School Teachers’Digital Literacy Enhancement Project 2025(Grant No.GDSZSYKT2025244).
文摘With the rise of AI-assisted education,many instructors and engineers seek to deliver high-quality programming courses online.However,crafting effective programming lectures remains a challenge,particularly for instructors lacking pedagogical training or multilingual fluency.We present CourseAgent,a prompt-driven framework that leverages large language models(LLMs)to automatically generate Python tutorials,structured lecture scripts,and accompanying audio narrations.CourseAgent accepts raw code as input and transforms it into segmented,well-commented code blocks,adapting content to different difficulty levels and languages via prompt customization.Our system supports multilingual instruction(e.g.,Chinese,English),fine-grained control of pedagogical depth,and auto-generation of lecture videos.We evaluate the output generated by CourseAgent using real student feedback and feedback from in-service teachers,alongside automated assessments from LLMs.These evaluations demonstrate that the materials produced by CourseAgent are coherent,pedagogically sound,and comparable in quality to those created by experienced instructors.CourseAgent lowers the barrier to quality programming education and shows promise for scalable,personalized,and language-adaptive content generation.
文摘The rapid growth of biomedical data,particularly multi-omics data including genomes,transcriptomics,proteomics,metabolomics,and epigenomics,medical research and clinical decision-making confront both new opportunities and obstacles.The huge and diversified nature of these datasets cannot always be managed using traditional data analysis methods.As a consequence,deep learning has emerged as a strong tool for analysing numerous omics data due to its ability to handle complex and non-linear relationships.This paper explores the fundamental concepts of deep learning and how they are used in multi-omics medical data mining.We demonstrate how autoencoders,variational autoencoders,multimodal models,attention mechanisms,transformers,and graph neural networks enable pattern analysis and recognition across all omics data.Deep learning has been found to be effective in illness classification,biomarker identification,gene network learning,and therapeutic efficacy prediction.We also consider critical problems like as data quality,model explainability,whether findings can be repeated,and computational power requirements.We now consider future elements of combining omics with clinical and imaging data,explainable AI,federated learning,and real-time diagnostics.Overall,this study emphasises the need of collaborating across disciplines to advance deep learning-based multi-omics research for precision medicine and comprehending complicated disorders.
文摘This research presents a detailed ab initio density functional theory(DFT)analysis on magnetic,thermoelectric,and optoelectronic properties of CaPr_(2)(S/Se)_(4) executed by Wien2k and Boltztrap2 packages for spintronic energy applications.The density of states,optimization energy,and negative formation energy all support the stability of the ferromagnetic state.The spin polarization density and Curie temperature(310 and 289 K)are also reported.In addition,the double exchange model,hybridization,density of states,band structures,exchange constants,exchange energies,and crystal field energies are addressed to ensure ferromagnetism by the spin of electrons.The magnetic moment of Pr shifts to Ca and S/Se sites,revealing that ferromagnetism is due to electron spin,not clustering of Pr magnetic ions.Thermoelectrics were evaluated by electrical conductivity(σ),thermal conductivity(k_(e)),Seebeck coefficient(S),power factor(S^(2)),and figures of merit(ZT).The room tempe rature values of S(0.169,0.183 mV/K)and ZT(0.76,0.90)increase their thermoelectric performance.Furthermore,dielectric function,refractive index,absorption coefficientα(ω),reflectivity R(ω),and other parameters are demonstrated in detail.Therefore,researchers can develop materials with the potential for spintronic and energy harvesting.
基金This research was supported by the Hydrogeology Research Group of the Geosciences and Environment Laboratory at Nangui Abrogoua University in Abidjan,Ivory Coast.
文摘The inverse slope method (ISM) was used to interpret electric sounding data to determine the geoelectric parameters of the alteration zones (continuous media) and rocky environments (discontinuous environments) of the Bouna Department. Having both qualitative and quantitative interpretation, the inverse slope method (ISM) has the ability to determine the different geoelectric layers while characterizing their resistivities and true thicknesses. In the Bouna department, this method allowed us to count a maximum of four (4) geoelectric layers with a total thickness ranging from 12.99 m to 24.66 m. The alteration thicknesses calculated by the ISM in comparison with those measured in the boreholes showed a linear agreement of the coefficient of determination R2 = 0.8269 with the support of the Nash criterion which showed that this method gave thicknesses of alteration close to 76.76% of that obtained during the drillings.
文摘Photo-assisted Li-O2 batteries(LOBs)have remained a prominent and growing field over the past several years.However,the presence of slow oxygen reduction reaction(ORR)and oxygen evolution reaction(OER),large charging and discharging overpotentials,and unstable cycle life lead to low energy efficiency,thus limiting their commercial application.The rational design and synthesis of photocathode materials are effective ways to solve the above existing problems of photo-assisted LOB systems.Herein,the recent advances in the design and preparation of photocathode materials for photo-assisted LOBs were summarized in this review.First,we summarize the basic principles and comprehension of the reaction mechanism for photo-assisted LOBs.The second part introduces the latest research progress on photocathode materials.The third section describes the relationship between the structureproperties and electrochemistry of different photocathodes.In addition,attempts to construct efficient photocathode materials for photo-assisted LOBs through vacancy engineering,localized surface plasmon resonance(LSPR),and heterojunction engineering are mainly discussed.Finally,a discussion of attempts to construct efficient photocathode materials using other approaches is also presented.This work will motivate the preparation of stable and efficient photocathode materials for photo-assisted LOBs and aims to promote the commercial application of rechargeable photo-assisted LOBs energy storage.
文摘The interesting nanomaterials that have developed quickly in the latest years and have a lot of significance in the biomedical industry are nanocelluloses (NCs). This tendency is in line with the growing need for maintainable materials that will enhance wellbeing and prolong human life, as well as the need to stay up to date with medical technological advancements. Based on the most desirable characteristics of nanocellulose, a variety of novel, useful materials with a broad scope of biomedical applications have been developed. NCs-based materials have garnered a lot of interest in medical applications due to their obtainability, biodegradability, affordability, biocompatibility, sustainability, exceptional mechanical qualities and low cytotoxicity. For the year 2022, the medical field more specifically, biosensors, drug delivery, wound dressing, tissue engineering, and medical implants, represents more than 60% of all the disciplines in which NCs are utilized. Domains, including wrapping, purification of air, ultrafiltration, elimination of pollutants, acoustics, account for around 40% of the entire number of other applications [1]. The overview of nanocellulose for medical applications is briefly reviewed in the first section of this paper. The second section explains how nanocelluloses can be modified for use in medicine. Chemically altering nanocellulose to create hydrogels, nanogels, and nanocomposites, as well as altering the surface for use in biomedicine. The review also discusses the benefits of nanocellulose over the existing technologies in the biomedical field. The final section discusses how nanocelluloses are used in the biomedical field.
基金Department of Science,Technology and Environment,Ministry of Education and Training Vietnam has supported project KGU1-B2024(2024–2025)the Faculty of Natural resources and Environment of Kien Giang University+1 种基金the U Minh Thuong National Park of Vietnamthe Southern Forestry Institute of Vietnam.
文摘Research conducted in U Minh Thuong National Park to assess carbon storage from fires and water on forest growth and regeneration.In 2003 after forest fire,measures were implemented to promote forest regeneration,afforestation,and rainwater storage,aim to prevent future forest fires.Investigating established in 2023 on the thicknesses of(20–40 cm),(40–60 cm),(60–80 cm)of the 500 m2 per plot,with 5 replications,measuring growth and analyzing peat chemistry.Contents include:Assessing changes in peat and carbon reserves Melaleuca forests before and after forest fires;analysis of peat and water chemical properties during seasonal floods,assessing Melaleuca growth,and the relationship between soil chemistry and growth due to higher water levels 20 years after forest fire.The results show a large volume of peat and carbon reserves,accumulated over thousands of years,destroyed by forest fires;lost in large quantities due to frequent flooding,leading to organic matter decomposition.Melaleuca grows slowly and death ratio increases after 20 years.Study also determined soil and water chemistry by seasonal flood;relationship between peat chemical indicators and Melaleuca growth on peat thickness.Results assessed the total peat volume and carbon stocks accumulated over thousands of years of Melaleuca Forest history,the effects of forest fires and water management on growth and chemical relationships,particularly after above-normal water levels were observed for 20 years.Results are research changes in peat.
基金Supported by Research Funds of Hubei Province(D20144401,Q20174503)。
文摘In this paper,we first generalize the constant dimension and orbit codes over finite fields to the constant rank and orbit codes over finite chain rings.Then we provide a relationship between constant rank codes over finite chain rings and constant dimension codes over the residue fields.In particular,we prove that an orbit submodule code over a finite chain ring is a constant rank code.Finally,for special finite chain ring F_(q)+γF_(q),we define a Gray mapφfrom(F_(q)+γF_(q))^(n)to F^(2n)_(q),and by using cyclic codes over F_(q)+γF_(q),we obtain a method of constructing an optimum distance constant dimension code over F_(q).
文摘Fuel station drive-offs,wherein the drivers simply drive off without paying,are a major issue in the UK(United Kingdom)due to rising fuel costs and financial hardships.The phenomenon has increased greatly over the last few years,with reports indicating a substantial increase in such events in the major cities.Traditional prevention measures such as Avutec and Driveoffalert rely primarily on expensive infrastructure and blacklisted databases.Such systems typically involve costly camera installation andmaintenance and are consequently out of the budget of small fuel stations.These conventional approaches also fall short regarding real-time recognition,particularly regarding first-time impostors using fictitious plates,which represent an increasingly significant proportion of such forgery.This research presents an AI(Artificial Intelligence)-driven detection system using the MOT(Ministry of Transport)History API(Application Programming Interface)to scan in real-time at gas stations to recognize and prevent such fraud.The system integrates various state-of-the-art technologies to offer a foolproof system.Using the latestYOLO(YouOnly Look Once)model to recognize number plates and EasyOCR(Optical Character Recognition)to recognize characters,the system correctly reads license plates in various environmental conditions like lighting,viewpoint,and weather conditions.This approach minimizes the utilization of expensive camera systems and employs cheaper ANPR(AutomaticNumber Plate Recognition)gear,availing existing installed surveillance cameras on filling stations.The system operates with a basic web-based application to notify operators of stolen vehicles in real-time,enabling them to react immediately.Real-world testing achieves 84%success with CCTV(Closed-Circuit Television)images,depicting its real-world applicability.The results indicate that the AI-driven solution offers a monumental leap compared to current practices,giving fuel stations a cost-effective and efficient means of reducing financial loss from drive-off incidents.
基金funded by 2024 Scientific Research Project of Chongqing Medical and Pharmaceutical College(No.ygzrc2024101)Chongqing Education Commission Natural Science Foundation(No.KJQN202402821)+2 种基金Chongqing Shapingba District Science and Technology Bureau Project(No.2024071)2024 Chongqing Medical and Pharmaceutical College Innovation Research Group Project(No.ygz2024401)Chongqing Science and Health Joint Medical Research Project(No.2024SQKWLHMS051),respectively.
文摘Yeast-based models have become a powerful platform in pharmaceutical research,offering significant potential for producing complex drugs,vaccines,and therapeutic agents.While many current drugs were discovered before fully understanding their molecular mechanisms,yeast systems now provide valuable insights for drug discovery and personalized medicine.Recent advancements in genetic engineering,metabolic engineering,and synthetic biology have improved the efficiency and scalability of yeast-based production systems,enabling more sustainable and cost-effective manufacturing processes.This paper reviews the latest developments in yeast-based technologies,focusing on their use as model organisms to study disease mechanisms,identify drug targets,and develop novel therapies.We highlight key platforms such as the yeast two-hybrid system,surface display technologies,and optimized expression systems.Additionally,we explore the future integration of yeast engineering with artificial intelligence(AI),machine learning(ML),and advanced genome editing technologies like CRISPR/Cas9,which are expected to accelerate drug discovery and enable personalized therapies.Furthermore,yeast-based systems are increasingly employed in largescale drug production,vaccine development,and therapeutic protein expression,offering promising applications in clinical and industrial settings.This paper discusses the practical implications of these systems and their potential to revolutionize drug development,paving the way for safer,more effective therapies.
文摘Cinnamon was a significant commodity in the spice trade along the Silk Road and was popular throughout Asia,Europe,and Africa,where it has been widely used in medicine,religion,and daily life from ancient times to the present day.This paper examines the ancient literature related to cinnamon from a global perspective,exploring its origins,spread,and medicinal uses documented in various traditional medicine.It aims to uncover the exchange of medicinal knowledge among civilizations along the Silk Road and the contribution of traditional Chinese medicine(TCM)to medical practices worldwide.The findings indicate that China and Southeast Asia were the primary sources of cinnamon used in the West during ancient times,with Persian and Arab traders playing a crucial role in its transmission from East to West.The common and unique applications of cinnamon in various medical traditions illustrate the dynamic flow of medicinal knowledge across regions and highlight the distinct strengths and characteristics of traditional medicines shaped by diverse cultural backgrounds.Taking cinnamon as an example,this study demonstrates how the westward spread of traditional Chinese medicines promoted the exchange and integration of medical knowledge among countries along the Silk Road.It contributes to understanding the patterns of medical knowledge dissemination between the ancient East and West,with medicines as the carrier for cultural exchange.
文摘The physical examination of the fruit of soursop fruit (Annona muricata) selected from different parent trees was investigated. Three-stage modified Soxhlet method was used which includes a percolator (boiler and reflux) which circulates the solvent, a thimble (usually made of thick filter paper) which retains the seed to be extracted, and a siphon mechanism, which periodically empties the condensed solvent from the thimble back into the percolator. The extraction of oil from the seed and the percentage yield was examined. The oil samples were characterized for physico-chemical properties. The maximum values of physical parameters found were fruit weight 3.7 ± 7.09, fruit length 12.2 ± 28.3 cm, with 15.2 ± 20.81 cm and 0.12 ± 18.91 g for pulp weight. The percentage oil yield of 48.5% was obtained due to the environmental factors such as the soil type, planting season and optimal temperature of the region of seed cultivation. The result of chemical properties showed maximum acid value 0.46 mg KOH, FFA of 0.33 mg, saponification of 189.4 mg KOH mg and peroxide value of 4.33 mg/g. The oil physical properties as discovered have a melting point of 32˚C, smoke point of 198˚C and flash point of 280˚C. The results obtained in this study further reveal the potential of oil from seed of soursop as a substitute for conventional vegetable oil due to its high flash point which is an indication of its low flammability and can be used as a good source of food, industrially can be used as an anti-microbial agent and for pest control.
基金supported in part by the Natural Science Foundation of Gansu Province(Nos.20JR10RA614,22YF7GA182,22JR11RA042,22JR5RA1006,24CXGA024)the National Natural Science Foundation of China under Grant 61804071.
文摘Accurate measurement of anchor rod length is crucial for ensuring structural safety in tunnel engineering,yet conventional destructive techniques face limitations in efficiency and adaptability to complex underground environments.This study presents a novel wireless instrument based on the standing wave principle to enable remote,non-destructive length assessment.The system employs a master-slave architecture,where a handheld transmitter unit initiates measurements through robust 433 MHz wireless communication,optimized for signal penetration in obstructed spaces.The embedded measurement unit,integrated with anchor rods during installation,utilizes frequency-scanning technology to excite structural resonances.By analyzing standing wave characteristics,anchor length is derived from a calibrated frequency-length relationship.Power management adopts a standby-activation strategy to minimize energy consumption while maintaining operational readiness.Experimental validation confirms the system effectively measures anchor lengths with high precision and maintains reliable signal transmission through thick concrete barriers,demonstrating suitability for tunnel deployment.The non-destructive approach eliminates structural damage risks associated with traditional pull-out tests,while wireless operation enhances inspection efficiency in confined spaces.Thiswork establishes a paradigmfor embedded structural healthmonitoring in tunneling,offering significant improvements over existing methods in safety,cost-effectiveness,and scalability.The technology holds promise for broad applications in mining,underground infrastructure,and geotechnical engineering.
