检索结果-南通市图书馆

Chemical Research in Chinese Universities 2024年第6期40卷 1290-1297页

作者： tajwar muhammad ali ali Nasir ZHANG Xiangru JABEEN Rubina LIU Yutong SHANGGUAN Dihua QI Li Beijing National Laboratory for Molecular Sciences Key Laboratory of Analytical Chemistry for Living Bio-systemsInstitute of ChemistryChinese Academy of SciencesBeijing 100190P.R.China School of Chemical Sciences University of Chinese Academy of SciencesBeijing 100049P.R.China School of Pharmacy Xinxiang Medical UniversityXinxiang 453003P.R.China

Recently,metal-organic framework (MOF)@enzyme composites have attracted increasing research ***,the fabrication of polymers-modified MOF@enzyme composites with high bio-catalytic performance remains ***,a stimulus-responsive polymer,poly(acrylate-3',3'-dimethyl-6-nitro-spiro-2H-1-benzopyran-2,2' indoline-1'-ester-co-N-isopropyl acrylamide) (PSPN);was in-situ polymerized in UiO-66-NH2 (UN).The dual-responsive PSPN-UN@L-ASNase composites were constructed following L-asparaginase (L-ASNase) covalently attached to the UN ***,under 365 nm UV irradiation at 45 ℃,the PSP moiety in PSPN underwent a trans-to-cis conformational change and the PN moiety in PSPN transferred from a stretched- to a coiled-state,generating a confinement effect that significantly enhanced the bio-catalytic performance of the *** with free L-ASNase,the composites showed a 42.0-folds increase in maximum catalytic reaction ***,the PSPN-UN@L-ASNase composites demonstrated high toxicity for Jurkat leukaemia *** stimulus-responsive polymer-MOF@enzyme composites provide a novel avenue for controlled bio-catalysis with great potential for targeted leukaemia therapy.

关键词： Photo-/thermo-responsive polymer Metal-organic framework(MOF) L-Asparaginase(L-ASNase)immobilization Confinement effect Catalytic efficiency Leukaemia cell

Modification of polypropylene separator with multifunctional layers to achieve highly stable sodium metal anode

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Energy Chemistry 2025年第2期101卷 223-232页

作者： Aadil Nabi Chishti Sikandar Iqbal muhammad ali Moazzam ali Samia Aman Hamid Hussain muhammad Yousaf Yinzhu Jiang Future Science Research Institute ZJU-Hangzhou Global Scientific and Technological Innovation Center Zhejiang University School of Materials Science and Engineering Zhejiang University School of Chemistry Zhejiang University

Separator modification is an effective approach to suppress dendrite growth to realize high-energy sodium metal batteries（SMBs） in practical applications,however,its success is mainly subject to surface ***,a separator with multifunctional layers composed of N-doped mesoporous hollow carbon spheres（HCS） as the inner layer and sodium fluoride（NaF） as the outer layer on commercial polypropylene separator（PP） is proposed（PP@HCS-NaF） to achieve stable cycling in *** the molecular level,the inner HCS layer with a high content of pyrrolic-N induces the uniform Na+flux as a potential Na+redistributor for homogenous deposition,whereas its hollow mesoporous structure offers nanoporous buffers and ion channels to regulate Na+ion distribution and uniform *** outer layer（NaF） constructs the NaF-enriched robust solid electrolyte interphase layer,significantly lowering the Na+ions diffusion *** from these merits,higher electrochemical performances are achieved with multifunctional double-layered PP@HCS-NaF separators compared with single-layered separators（***@HCS or PP@NaF） in *** Na‖Cu half-cell with PP@HCS-NaF offers stable cycling（280 cycles）with a high CE（99.6%）,and Na‖Na symmetric cells demonstrate extended lifespans for over 6000 h at 1 mA cm-2with a progressively stable overpotential of 9 ***,in Na‖NVP full-cells,the PP@HCS-NaF separator grants a stable capacity of ～81 mA h g-1after 3500 cycles at 1 C and an impressive rate capability performance(～70 mA h g-1at 15 C).

关键词： Enhanced cyclic stability Multifunctional layers NaF-enriched SEI layer Separator modification Sodium metal batteries

An integrated approach for GLOF hazard,vulnerability and risk assessment in the Karakoram Mountain Range of northern Pakistan

同方期刊数据库评论

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Journal of Mountain Science 2025年第1期22卷 142-155页

作者： Sajid ULLAH muhammad SHAFIQUE Ghazanfar ali KHATTAK Attaullah SHAH Yaseen ULLAH National Centre of Excellence in Geology University of PeshawarPeshawar 25000Pakistan GIS and Space Application in Geosciences National Centre of GIS and Space Applications(NCGSA)Islamabad 44000Pakistan Karakoram International University Gilgit 15100Pakistan

Climate change and rising temperatures are accelerating the rate of deglaciation in the Hindu Kush Karakoram Himalaya(HKH)ranges,leading to the formation of new glacial lakes and the expansion of existing *** lakes are often vulnerable to failure,posing a significant threat to downstream communities and ***,a comprehensive assessment of Glacier-Lake Outburst Flood(GLOF)hazards and risk assessment is crucial to evaluate flood runout characteristics and identify settlements and infrastructure that are exposed and vulnerable to floods,aiding in the development and implementation of risk reduction *** study aims to simulate a GLOF event induced by the Shisper glacier lake in northern Pakistan,using the HEC-RAS,and to assess its impact on settlements,infrastructure,and agricultural *** the hydrometeorological analysis of the GLOF event,topographic data from unmanned aerial vehicles(UAVs),stream profiles,discharge data,Manning's roughness coefficient(n),and land use/land cover(LULC)were analyzed using HEC-RAS and geographic information system(GIS).During the GLOF event on May 7,2022,a maximum water depth of 6.3 m and a maximum velocity of 9.5 m/s were *** on the runout characteristics of this event,vulnerability and risk assessments have been *** physical,social,and environmental vulnerabilities of the at-risk elements were evaluated using the analytical hierarchy process(AHP)and integrated with the hazard data to develop a risk *** study identified the areas,infrastructure and settlements susceptible to GLOF hazard to support the development and implementation of targeted and evidence-based mitigation and adaptation strategies.

关键词： GLOF Hazard assessment Glacial lake HEC-RAS Vulnerability and risk Shisper glacier

Comprehensive Review and Analysis on Facial Emotion Recognition:Performance Insights into Deep and Traditional Learning with Current Updates and Challenges

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2025年第1期82卷 41-72页

作者： Amjad Rehman muhammad Mujahid Alex Elyassih Bayan AlGhofaily Saeed ali Omer Bahaj Artificial Intelligence&Data Analytics Lab College of Computer&Information SciencesPrince Sultan UniversityRiyadh11586Saudi Arabia MIS Department College of Business Administration Prince Sattam Bin Abdulaziz UniversityAlKharj11942Saudi Arabia

In computer vision and artificial intelligence,automatic facial expression-based emotion identification of humans has become a popular research and industry *** demonstrations and applications in several fields,including computer games,smart homes,expression analysis,gesture recognition,surveillance films,depression therapy,patientmonitoring,anxiety,and others,have brought attention to its significant academic and commercial *** study emphasizes research that has only employed facial images for face expression recognition(FER),because facial expressions are a basic way that people communicate meaning to each *** immense achievement of deep learning has resulted in a growing use of its much architecture to enhance *** review is on machine learning,deep learning,and hybrid methods’use of preprocessing,augmentation techniques,and feature extraction for temporal properties of successive frames of *** following section gives a brief summary of assessment criteria that are accessible to the public and then compares them with benchmark results the most trustworthy way to assess FER-related research topics *** this review,a brief synopsis of the subject matter may be beneficial for novices in the field of FER as well as seasoned scholars seeking fruitful avenues for further *** information conveys fundamental knowledge and provides a comprehensive understanding of the most recent state-of-the-art research.

关键词： Face emotion recognition deep learning hybrid learning CK+ facial images machine learning technological development

Biochar as a Climate-Smart Agricultural Practice: Reducing Greenhouse Gas Emissions and Promoting Sustainable Farming

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Phyton-International Journal of Experimental Botany 2025年第1期94卷 65-99页

作者： muhammad Nazim Abdul Ghafoor Abida Hussain Mehwish Tabassum Aamir Nawaz muhammad Ahmad Murad muhammad Muqarrab ali State Key Laboratory of Desert and Oasis Ecology Key Laboratory of Ecological Safety and Sustainable Development in Arid LandsXinjiang Institute of Ecology and GeographyChinese Academy of SciencesUrumqi830011China University of Chinese Academy of Sciences Beijing100049China Center for Water and Environmental Studies College of Agricultural and Food SciencesKing Faisal UniversityAl-Ahsa31982Saudi Arabia Department of Climate Change Faculty of Agriculture and Environmental SciencesMuhammad Nawaz Shareef University of AgricultureMultan66000Pakistan Department of Botany Division of Science and Technology University of EducationLahore54000Pakistan Institute of Chemistry Faculty of Chemical and Biological SciencesThe Islamia University of BahawalpurBahawalpur63100Pakistan Department of Agronomy University of Agriculture FaisalabadFaisalabad38040Pakistan

In recent years, the world has faced rising global temperatures, accumulative pollution, and energy crises, stimulating scientists worldwide to strive for eco-friendly and cost-effective solutions. Biochar has materialized as a favorable tool for environmental remediation, indicating efficacy as an efficient sorbent substance for both inorganic and organic pollutants in environmental field. These unique properties exclude improved surface functionality, porous morphology, large specific surface area (SSA), cation exchange capacity (CEC), robust adsorption capabilities, environmental stability, and embedded micronutrients. Biochar exhibited potential characteristics for environmental oversight, greenhouse gas (GHG) emission reduction, and soil fertility improvement. This review explores the impact of fundamental factors such as retention time, pyrolysis temperature, gas flow rate, and reactor design on biochar yield and properties. Collected data revealed the various applications of biochar, ranging from waste management and construction materials to the adsorptive removal of hydrocarbon lubricants from aqueous media, contaminant immobilization, and carbon sequestration. It has played mostly a significant share in climate change mitigation and an important role in soil amendments. Biochar improves soil improvement by increasing water retention (10%–30%), carbon sequestration, soil surface functionality, and providing high surface area with chemical stability. The assessment also reports the prospects and contests associated with biochar application uses in various agriculture cropping ecosystems. Inclusive, this review highlights the multifaceted characteristics of biochar as an adjustable on top of a sustainable solution addressing greenhouse gas emission, carbon sequestration, and environmental stresses. However, further research is needed to understand its long-term impacts and optimal applications fully.

关键词： Agro-ecology biochar carbon storage greenhouse gas reduction sustainable agriculture

Recent developments in MQL machining of aeronautical materials:A comparative review

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Chinese Journal of Aeronautics 2025年第1期38卷 43-69页

作者： Syed Hammad ali Yu YAO Bangfu WU Biao ZHAO Wenfeng DING muhammad JAMIL Ahmar KHAN Asra BAIG Qi LIU Dongdong XU National Key Laboratory of Science and Technology on Helicopter Transmission Nanjing University of Aeronautics and AstronauticsNanjing 210016China Department of Mechanical Engineering NED University of Engineering and TechnologyKarachi 75270Pakistan Centre for Precision Manufacturing University of StrathclydeGlasgow G11XQUK School of Mechanical Engineering Tongji UniversityShanghai 200092China

Minimum quantity lubrication(MQL),as a new sustainable and eco-friendly alternative cooling/lubrication technology that addresses the limitations of dry and wet machining,utilizes a small amount of lubricant or coolant to reduce friction,tool wear,and heat during cutting *** technique has witnessed significant developments in recent years,such as combining MQL with other sustainable techniques to achieve optimum results,using biodegradable lubricants,and innovations in nozzle designs and delivery *** review presents an in-depth analysis of machining characteristics(e.g.,cutting forces,temperature,tool wear,chip morphology and surface integrity,etc.)and sustainability characteristics(e.g.,energy consumption,carbon emissions,processing time,machining cost,etc.)of conventional MQL and hybrid MQL techniques like cryogenic MQL,Ranque-Hilsch vortex tube MQL,nanofluids MQL,hybrid nanofluid MQL and ultrasonic vibration assisted MQL in machining of aeronautical ***,the latest research and developments are analyzed and summarized in the field of MQL,and provide a detailed comparison between each technique,considering advantages,challenges,and limitations in practical *** addition,this review serves as a valuable source for researchers and engineers to optimize machining processes while minimizing environmental impact and operational ***,the potential future aspects of MQL for research and industrial execution are discussed.

关键词： Aerospace materials Minimum Quantity Lubrication(MQL) Cryogenic Nanofluid Grinding Milling Sustainability

Ultrasonic vibration-assisted cutting of titanium alloys:A state-of-the-art review

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Chinese Journal of Aeronautics 2025年第1期38卷 3-42页

作者： Ahmar KHAN Xin WANG Biao ZHAO Wenfeng DING muhammad JAMIL Aqib Mashood KHAN Syed Hammad ali Sadam HUSSAIN Jiong ZHANG Raj DAS National Key Laboratory of Science and Technology on Helicopter Transmission Nanjing University of Aeronautics and AstronauticsNanjing 210016China Department of Mechanical Engineering College of EngineeringCity University of Hong KongHong Kong 999077China Centre for Additive Manufacturing School of EngineeringAerospace Engineering and AviationRMIT UniversityVictoria 3083Australia

The remarkable ability of titanium alloys to preserve their superior physical and chemical characteristics when subjected to extreme conditions significantly enhances their importance in the aerospace,military,and medical ***,conventional machining of titanium alloys leads to elevated tool wear,development of surface defects,and reduced machining efficiency due to their low heat conductivity,and chemical *** issues can be somewhat counteracted by integrating ultrasonic vibration in the conventional machining of titanium alloys and also enhance *** review article offers a holistic evaluation of the influence of ultrasonic vibration-assisted milling and turning on cutting forces,temperature,tool wear,and surface integrity,encompassing surface morphology,surface roughness,surface residual stress,surface hardness,and surface tribological properties during titanium alloys ***,it investigates the sustainability aspect that has not been previously *** on the performance of ultrasonic-assisted cutting revealed several advantages,including decreased cutting forces and cutting temperature,improved tool life,and a better-machined surface during ***,the sustainability factor is improved due to minimized energy consumption and residual *** conclusion,the key challenges and future prospects in the ultrasonic-assisted cutting of titanium alloys are also *** review article provides beneficial knowledge for manufactur-ers and researchers regarding ultrasonic vibration-assisted cutting of titanium alloy and will play an important role in achieving sustainability in the industry.

关键词： Ultrasonic vibration-assisted cutting Titanium alloys Material removal mechanism Machinability Sustainability

Deep Learning and Artificial Intelligence-Driven Advanced Methods for Acute Lymphoblastic Leukemia Identification and Classification: A Systematic Review

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computer Modeling in Engineering & Sciences 2025年第2期142卷 1199-1231页

作者： Syed Ijaz Ur Rahman Naveed Abbas Sikandar ali muhammad Salman Ahmed Alkhayat Jawad Khan Dildar Hussain Yeong Hyeon Gu Department of Computer Science Islamia CollegePeshawar25120Pakistan Department of Information Technology The University of HaripurHaripur22620Pakistan College of Technical Engineering The Islamic UniversityNajaf100986Iraq School of Computing Gachon UniversitySeongnam13120Republic of Korea Department of AI and Data Science Sejong UniversitySeoul05006Republic of Korea

Automatic detection of Leukemia or blood cancer is one of the most challenging tasks that need to be addressed in the healthcare *** of white blood cells(WBCs)in the blood or bone marrow microscopic slide images play a crucial part in early identification to facilitate medical *** Acute Lymphocytic Leukemia(ALL),the most preferred part of the blood or marrow is to be analyzed by the experts before it spreads in the whole body and the condition becomes *** researchers have done a lot of work in this field,to demonstrate a comprehensive analysis few literature reviews have been published focusing on various artificial intelligence-based techniques like machine and deep learning detection of *** systematic review has been done in this article under the PRISMA guidelines which presents the most recent advancements in this *** image segmentation techniques were broadly studied and categorized from various online databases like Google Scholar,Science Direct,and PubMed as image processing-based,traditional machine and deep learning-based,and advanced deep learning-based models were *** Neural Networks(CNN)based on traditional models and then the recent advancements in CNN used for the classification of ALL into its subtypes.A critical analysis of the existing methods is provided to offer clarity on the current state of the ***,the paper concludes with insights and suggestions for future research,aiming to guide new researchers in the development of advanced automated systems for detecting life-threatening diseases.

关键词： Acute lymphoblastic bone marrow segmentation classification machine learning deep learning convolutional neural network

YOLOCSP-PEST for Crops Pest Localization and Classification

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2025年第2期82卷 2373-2388页

作者： Farooq ali Huma Qayyum Kashif Saleem Iftikhar Ahmad muhammad Javed Iqbal Department of Software Engineering University of Engineering and TechnologyTaxila47050Pakistan Department of Computer Science&Engineering College of Applied Studies&Community ServiceKing Saud UniversityRiyadh11362Saudi Arabia Department of Information Technology Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Computer Science University of Engineering and TechnologyTaxila47050Pakistan

Preservation of the crops depends on early and accurate detection of pests on crops as they cause several diseases decreasing crop production and quality. Several deep-learning techniques have been applied to overcome the issue of pest detection on crops. We have developed the YOLOCSP-PEST model for Pest localization and classification. With the Cross Stage Partial Network (CSPNET) backbone, the proposed model is a modified version of You Only Look Once Version 7 (YOLOv7) that is intended primarily for pest localization and classification. Our proposed model gives exceptionally good results under conditions that are very challenging for any other comparable models especially conditions where we have issues with the luminance and the orientation of the images. It helps farmers working out on their crops in distant areas to determine any infestation quickly and accurately on their crops which helps in the quality and quantity of the production yield. The model has been trained and tested on 2 datasets namely the IP102 data set and a local crop data set on both of which it has shown exceptional results. It gave us a mean average precision (mAP) of 88.40% along with a precision of 85.55% and a recall of 84.25% on the IP102 dataset meanwhile giving a mAP of 97.18% on the local data set along with a recall of 94.88% and a precision of 97.50%. These findings demonstrate that the proposed model is very effective in detecting real-life scenarios and can help in the production of crops improving the yield quality and quantity at the same time.

关键词： Deep learning classification of pests YOLOCSP-PEST pest detection

Enhancing Plant Resilience to Biotic and Abiotic Stresses through Exogenously Applied Nanoparticles:A Comprehensive Review of Effects and Mechanism

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Phyton-International Journal of Experimental Botany 2025年第2期94卷 281-302页

作者： Jalil Ahmad muhammad Munir Nashi Alqahtani Tahira Alyas muhammad Ahmad Sadia Bashir Fasiha Qurashi Abdul Ghafoor Hassan ali–Dinar Institute of Vegetables and Flowers Chinese Academy of Agricultural SciencesBeijing100081China Date Palm Research Center of Excellence King Faisal UniversityAl-Ahsa31982Saudi Arabia Department of Food and Nutrition Sciences College of Agricultural and Food SciencesKing Faisal UniversityAl-Ahsa31982Saudi Arabia Department of Botany Lahore College for Women UniversityLahorePunjab54000Pakistan Department of Plant Breeding and Genetics Faculty of Agricultural SciencesGhazi UniversityDera Ghazi Khan32200Pakistan Department of Botany The Woman University Multan66000Pakistan Department of Biological Sciences University of Veterinary and Animal SciencesLahore54000Pakistan Center for Water and Environmental Studies College of Agricultural and Food SciencesKing Faisal UniversityAl-Ahsa31982Saudi Arabia

A steady rise in the overall population is creating an overburden on crops due to their global *** the other hand,given the current climate change and population growth,agricultural practices established during the Green Revolution are no longer ***,innovative practices are the prerequisite of the time struggle with the rising global food *** potential of nanotechnology to reduce the phytotoxic effects of these ecological restrictions has shown significant ***(NPs)typically enhance plant resilience to stressors by fortifying the physical barrier,optimizing photosynthesis,stimulating enzymatic activity for defense,elevating the concentration of stress-resistant compounds,and activating the expression of genes associated with defense *** this review,we thoroughly cover the uptake and translocations of NPs crops and their potential valuable functions in enhancing plant growth and development at different growth ***,we addressed how NPs improve plant resistance to biotic and abiotic ***,this review presents a thorough understanding of the significance of NPs in plants and their prospective value for plant antioxidant and crop development.

关键词： Crop abiotic stress antioxidant biotic stress nanoparticles