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International Journal of Biomathematics 2023年第4期16卷 81-101页

作者： A.Q.Khan f.nazir M.B.Almatrafi Departmentof Mathematics University of Azad Jammu and Kashmir Muzaffarabad 13100 Pakistan Department of Mathematics College of Science Taibah University Al-Madinah Al-MunawarahSaudi Arabia

Phytoplanktons are drifting plants in an aquatic system.They provide food for marine animals and are compared to terrestrial plants in that having chlorophyll and carrying out photosynthesis.Zooplanktons are drifting animals found inside the aquatic bodies.for stable aquatic ecosystem,the growth of both Zooplankton and Phytoplankton should be in steady state but in previous eras,there has been a universal explosion in destructive Plankton or algal blooms.Many investigators used various mathematical methodologies to try to explain the bloom phenomenon.So,in this paper,a discretized two-dimensional Phytoplankton-Zooplankton model is investigated.The results for the existence and uniqueness,and conditions for local stability with topological classifications of the equilibrium solutions are determined.It is also exhibited that at trivial and semitrivial equilibrium solutions,discrete model does not undergo fip bifurcation,but it undergoes Neimark-Sacker bifurcation at interior equilibrium solution under certain conditions.further,state feedback method is deployed to control the chaos in the under consideration system.The extensive numerical simulations are provided to demonstrate theoretical results.

关键词： Discrete model numerical simulation bifurcations chaos

Volume-complementary bipolar layered oxide enables stable symmetric sodium-ion batteries

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Nano Research 2024年第5期17卷 4125-4133页

作者： Bo Peng feng Wang nazir Ahmad Lai Yu Shenghua Chen Genqiang Zhang School of Materials Science and Engineering Key Laboratory of Efficient Conversion and Solid-state Storage of Hydrogen and Electricity of Anhui ProvinceAnhui University of TechnologyMa’anshan 243002China Hefei National Research Center for Physical Sciences at the Microscale Chinese Academy of Sciences(CAS)Key Laboratory of Materials for Energy ConversionDepartment of Materials Science and EngineeringUniversity of Science and Technology of ChinaHefei 230026China National Innovation Platform(Center)for Industry-Education Integration of Energy Storage Technology School of Chemical Engineering and TechnologyXi’an Jiaotong UniversityXi’an 710049China

The commercialization of sodium-ion batteries is based on developing low-cost,highly stable,and safe cathode and anode electrodes.However,the promising hard carbon anode and layered oxide cathode suffer from low sodium-embedded potential near 0.1 V and severe phase transitions,which cause safe problem and short lifespan,respectively.Herein,we design a low-strain bipolar P2-Na_(0.7)Ni_(0.25)fe_(0.2)Ti_(0.55)O_(2) to solve the mentioned obstacles,whereas(Ni,fe)and Ti provide charge compensation when it is used as cathode and anode,respectively.It is revealed that the bipolar layered oxide undergoes solid-solution reaction when used as cathode or anode,and exhibits volume-complementary feature in a sodium-ion full-cell,as identified by in-situ X-ray diffraction.Remarkably,the safe symmetric sodium-ion full-cell exhibits excellent cyclic stability with 91.7%capacity retention after 200 cycles.This work will provide a new horizon for designing safe and stable sodium-ion batteries.

关键词： sodium-ion batteries bipolar layered oxides solid-solution reaction volume complementation symmetric battery

A Review of Rechargeable Zinc-Air Batteries:Recent Progress and future Perspectives

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Nano-Micro Letters 2024年第7期16卷 358-401页

作者： Ghazanfar nazir Adeela Rehman Jong-Hoon Lee Choong-Hee Kim Jagadis Gautam Kwang Heo Sajjad Hussain Muhammad Ikram Abeer AAlObaid Seul-Yi Lee Soo-Jin Park Department of Nanotechnology and Advanced Materials Engineering Hybrid Materials Research Center(HMC)Sejong UniversitySeoul 05006Republic of Korea Department of Chemical and Biomolecular Engineering Yonsei University50 Yonsei-RoSeodaemun-GuSeoul 03722Republic of Korea Department of Chemistry Inha UniversityIncheon 22212Republic of Korea Solar Cell Applications Research Lab Department of PhysicsGovernment College University LahoreLahore 54000 PunjabPakistan Department of Chemistry College of ScienceKing Saud UniversityP.O.Box 2455Riyadh 11451Saudi Arabia

Zinc-air batteries(ZABs)are gaining attention as an ideal option for various applications requiring high-capacity batteries,such as portable electronics,electric vehicles,and renewable energy storage.ZABs offer advantages such as low environmental impact,enhanced safety compared to Li-ion batteries,and cost-effectiveness due to the abundance of zinc.However,early research faced challenges due to parasitic reactions at the zinc anode and slow oxygen redox kinetics.Recent advancements in restructuring the anode,utilizing alternative electrolytes,and developing bifunctional oxygen catalysts have significantly improved ZABs.Scientists have achieved battery reversibility over thousands of cycles,introduced new electrolytes,and achieved energy efficiency records surpassing 70%.Despite these achievements,there are challenges related to lower power density,shorter lifespan,and air electrode corrosion leading to performance degradation.This review paper discusses different battery configurations,and reaction mechanisms for electrically and mechanically rechargeable ZABs,and proposes remedies to enhance overall battery performance.The paper also explores recent advancements,applications,and the future prospects of electrically/mechanically rechargeable ZABs.

关键词： Zinc-air batteries Energy storage Affordability Reversibility

An Artificial Intelligence-Based framework for fruits Disease Recognition Using Deep Learning

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Computer Systems Science & Engineering 2024年第2期48卷 529-554页

作者： Irfan Haider Muhammad Attique Khan Muhammad nazir Taerang Kim Jae-Hyuk Cha Department of Computer Science HITEC UniversityTaxila47080Pakistan Department of Computer Science Hanyang UniversitySeoulKorea

fruit infections have an impact on both the yield and the quality of the crop.As a result,an automated recognition system for fruit leaf diseases is important.In artificial intelligence(AI)applications,especially in agriculture,deep learning shows promising disease detection and classification results.The recent AI-based techniques have a few challenges for fruit disease recognition,such as low-resolution images,small datasets for learning models,and irrelevant feature extraction.This work proposed a new fruit leaf leaf leaf disease recognition framework using deep learning features and improved pathfinder optimization.Three fruit types have been employed in this work for the validation process,such as apple,grape,and Citrus.In the first step,a noisy dataset is prepared by employing the original images to learn the designed framework better.The EfficientNet-B0 deep model is fine-tuned on the next step and trained separately on the original and noisy data.After that,features are fused using a serial concatenation approach that is later optimized in the next step using an improved Path finder Algorithm(PfA).This algorithm aims to select the best features based on the fitness score and ignore redundant information.The selected features are finally classified using machine learning classifiers such as Medium Neural Network,Wide Neural Network,and Support Vector Machine.The experimental process was conducted on each fruit dataset separately and obtained an accuracy of 100%,99.7%,99.7%,and 93.4%for apple,grape,Citrus fruit,and citrus plant leaves,respectively.A detailed analysis is conducted and also compared with the recent techniques,and the proposed framework shows improved accuracy.

关键词： fruit disease contrast enhancement augmentation deep learning fusion feature selection classification

An Exploration of Higher Vocational English Teachers’Professional Development on Students’Learning Ability in the Context of New Liberal Arts

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Journal of Contemporary Educational Research 2024年第2期8卷 203-207页

作者： Jing Xu Mohd nazir Bin Zabit faculty of Education Universiti Pendidikan Sultan Idris35900 Tanjong MalimPerakMalaysia Lanzhou Vocational Technical College Lanzhou 730070Gansu ProvinceChina

The concept of New Liberal Arts,a multidisciplinary combined integrator with Chinese values at its core,has brought new challenges to the teaching methods and professional development of higher-level English teachers.Based on the evolving professional development process of higher vocational English teachers in the context of the New Liberal Arts,this article analyzes how English teachers can integrate multidisciplinary knowledge and adopt advanced educational technology in the teaching process.On this basis,it discusses the role of teachers’professional development in enhancing students’learning ability,such as through deepening disciplinary understanding,adopting innovative teaching strategies,and implementing personalized teaching.At the end of the article,based on a variety of pedagogical theories,we put forward suggestions,including continuous professional training,interdisciplinary cooperation,and the application of innovative teaching techniques,which are mainly aimed at helping higher vocational English teachers get rid of the dilemma of the new situation,adapt to the needs of the new liberal arts education as soon as possible,and then effectively improve students’abilities.

关键词： New liberal arts Higher vocational education Professional development of English teachers Interdisciplinary teaching Personalized teaching

Liberica coffee as an alternative cropping system for sustainable farming on Indonesian Peatlands

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International Journal of Agricultural and Biological Engineering 2024年第1期17卷 180-188页

作者： Bariot Hafif Yulius ferry Budi Martono Rita Harni Kurnia Dewi Sasmita Busyra B.Saidi Maswar Maswar R.Bambang Heryanto Novizar nazir fahmuddin Agus Meynarti Sari Dewi Ibrahim National Research and Innovation Agency Research Center for Estate CropsIndonesia National Research and Innovation Agency Research Center for Food CropsIndonesia faculty of Agricultural Technology Andalas UniversityIndonesia

Indonesian peatlands are a fragile ecosystem,and to protect it,growing Liberica coffee is a promising way for both the environment and the economy.This study aimed to evaluate the performance of the liberica coffee on peatland with different water tables and develop an improved cultivation system in this ecosystem.The study area was in Tanjung Jabung Barat District,Jambi Province,Indonesia.The plant age is greater than 15 years and the average plant density was about 1000 trees/hm2.The study was conducted in two stages.The 1st stage was a survey to identify and characterize smallholder liberica coffee farming at three peatland zones,namely 0-100 m,200-300 m,and>400 m from the principal drainage canal,and the 2nd stage was a field experiment to test the effectiveness of amendments in improving liberica coffee growth and improving degraded peatland.The treatments were arranged in a randomized complete block design with four replications,including manure(M),at the rate of 10 t/hm^(2);lime(L),3 t/hm^(2);peat surface elevation(P),and a farmer’s practice(Control)without manure and/or lime as a control.This research revealed that liberica coffee can not tolerate high water table as it may stimulate disease incidence and cause low-quality yield.However,recycling of organic C of about 17.14 t/(hm^(2)·a)through cherry residue application and litter compensated part of the loss of organic C through CO_(2)emissions,coffee bean removal,and maintaining peat fertility for sustainable farming.The low yield of(0.70±0.12)t/(hm^(2)∙a)coffee bean could be increased to(0.87±0.24)and(0.94±0.14)t/(hm^(2)∙a)by adding 3 t/(hm^(2)∙3a)of lime or 10 t/(hm^(2)∙a)of manure,respectively.This research revealed that water table management and amendments are two main factors in liberica coffee farming on peatlands.It is of great significance to study the cultivation technology of coffee in peatland.

关键词： degraded peat amendments water table cultivation system liberica coffee alternative cropping system sustainable farming Indonesian Peatlands

An unexpected cellular fountain of youth:platelets provide factors rejuvenating brain functions

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Signal Transduction and Targeted Therapy 2024年第1期9卷 16-18页

作者： Harald f.Langer Department of Cardiology AngiologyHaemostaseology and Medical Intensive CareUniversity Medical Centre MannheimMedical Faculty MannheimHeidelberg UniversityMannheimGermany German Centre for Cardiovascular Research(DZHK) Partner Site Heidelberg/MannheimMannheimGermany European Center for Angioscience Medical Faculty MannheimHeidelberg UniversityMannheimGermany Cardiovascular systems biology Medical Clinic IUniversity Heart Center LübeckLübeckGermany

In a recent manuscript published in Nature,Schroer et al.discovered that platelets and in particular platelet derived Pf-4(CXCL4)are a novel factor,which can rejuvenate the mammalian neuronal system.1 These findings have the potential to trigger an entire new field of research opening new platelet-derived candidate effector molecules for supporting regeneration.

关键词： supporting platelets finding

Premature axon-oligodendrocyte interaction contributes to stalling of experimental axon regeneration after injury to the white matter

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Neural Regeneration Research 2024年第3期19卷 469-470页

作者： Ephraim f.Trakhtenberg Department of Neuroscience University of Connecticut School of MedicineFarmingtonCTUSA

Studies from nearly 3 decades ago suggested that,in the central nervous system(CNS),myelination of axons by oligodendrocytes not only helps improve axonal conductivity but also stabilizes circuitry(Colello and Schwab,1994).Over the years,myelin sheaths produced by oligodendrocytes have been found to contain multiple molecules that are inhibitory to axonal growth(e.g.,MAG,NogoA,OMgp,Semaphorins)(Yiu and He,2006;Silver et al.,2014).After white matter injury in the adult CNS,myelin debris from damaged axons and dead oligodendrocytes accumulates in the forming glial scar and exposes these myelin-associated axon growth-inhibitory molecules to the injured axonal stumps,thereby contributing to the inhibition of axonal regrowth.During development,CNS axons reach their postsynaptic targets and stop growing before oligodendrocytes appear and myelinate them(foran and Peterson,1992;Dangata et al.,1996).Therefore,myelin-associated axon growth-inhibitory molecules interacting with already grown axons during myelination were thought to block axons from promiscuous sprouting and miswiring,thereby stabilizing neural circuitry in the CNS(Colello and Schwab,1994).

关键词： thereby white injury

Cognition and movement in neurodegenerative disorders:a dynamic duo

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Neural Regeneration Research 2024年第10期19卷 2101-2102页

作者： Marit f.L.Ruitenberg Department of Health Medical and NeuropsychologyLeiden UniversityLeidenthe Netherlands Leiden Institute for Brain and Cognition Leidenthe Netherlands

People with neurodegenerative disorders often experience problems across a variety of functional domains,including cognition,movement,and psychosocial functioning.The classification of these disorders is based on the phenotypical manifestations that represent the most prominent clinical features.for example,Parkinson's disease and Huntington's disease are typically regarded as movement disorders,whereas Alzheimer's disease(AD) and other dementias are regarded as cognitive disorders.

关键词： disorders Huntington degenerative

Bolstering integrity in environmental data science and machine learning requires understanding socioecological inequity

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frontiers of Environmental Science & Engineering 2024年第5期18卷 171-179页

作者： Joe f.Bozeman III School of Civil and Environmental Engineering Georgia Institute of TechnologyAtlantaGA30332USA School of Public Policy Georgia Institute of TechnologyAtlantaGA30332USA

Socioecological inequity in environmental data science—such as inequities deriving from data-driven approaches and machine learning(ML)—are current issues subject to debate and evolution.There is growing consensus around embedding equity throughout all research and design domains—from inception to administration,while also addressing procedural,distributive,and recognitional factors.Yet,practically doing so may seem onerous or daunting to some.The current perspective helps to alleviate these types of concerns by providing substantiation for the connection between environmental data science and socioecological inequity,using the Systemic Equity framework,and provides the foundation for a paradigmatic shift toward normalizing the use of equity-centered approaches in environmental data science and ML settings.Bolstering the integrity of environmental data science and ML is just beginning from an equity-centered tool development and rigorous application standpoint.To this end,this perspective also provides relevant future directions and challenges by overviewing some meaningful tools and strategies—such as applying the Wells-Du Bois Protocol,employing fairness metrics,and systematically addressing irreproducibility;emerging needs and proposals—such as addressing data-proxy bias and supporting convergence research;and establishes a ten-step path forward.Afterall,the work that environmental scientists and engineers do ultimately affect the well-being of us all.

关键词： Equity Bias Machine Learning Data Science Justice Systemic Equity