检索结果-南通市图书馆

Journal of Rare Earths 2024年第7期42卷 1282-1288,I0003页

作者： Yikuan Hu Jiajie Li Shengyu Sun Shuwei Zhong Munan Yang Xiaoqiang Yu Sajjad Ur rehman Xi Yu Jiangxi Key Laboratory for Rare Earth Magnetic Materials and Devices College of Rare EarthsJiangxi University of Science and TechnologyGanzhou341000 National Rare Earth Functional Materials Innovation Center Ganzhou341000China Ganzhou Fortune Electronic Ltd. Ganzhou341000China

It is still a challenge to simultaneously enhance coercivity(H_(cj))and remanence(J_(r))of hot-deformed Nd-Fe-B magnet due to the coercivity-remanence trade-off ***,we achieved this balance between H_(cj)and Jr by flake Cu powder assisted DyF_(3)interflake *** Hcj increases from 1218 to 1496 kA/m and Jr increases from 1.32 to 1.34 T compared with the original *** show that the width of coarse grain layers reduces because of the introduction of flake Cu,which increases the contact areas of the adjacent grains at ribbon interfaces and suppresses the excessive growth of *** stronger degree of texture and higher density compared with the original magnet should take the responsibility for the increase of J_(r).Additionally,the aggregation regions of rare earth rich(RE-rich)phase reduce and the betterment of the microstructure is another reason for the enhancement of Jr in the flake Cu aided DyF_(3)hot-deformed *** strategy of using flake powder additives provides a promising method for optimizing microstructure and enhancing magnetic properties of hot-deformed Nd-Fe-B magnets.

关键词： Rare earths Nd-Fe-B Hot-deformed magnet Flake powder Interflake addition Remanence

The surveillance of arsenic levels in the drinking water of primary schools and the assessment of the potential cancer-related health risks of children in Multan, Pakistan

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

Emerging Contaminants 2024年第1期10卷 17-23页

作者： Hidayatullah Mahar Abdul rehman Memon Aqsa Ishfaq Suhail Ahmed Soomro Mehran University of Engineering&Technology JamshoroPakistan NFC Institute of Engineering&Technology MultanPakistan

To investigate the levels of arsenic(As)in the groundwater and drinking water of primary schools and their potential impact on human health is main objective of this *** assess risk,the following parameters i.e.,carcinogenic indices(CI),hazardous indexes(HI),carcinogenic risk(CR),and hazardous quotient(HQ)have been measured for both dermal and oral arsenic *** study has been focused on primary schools located in four tehsils of Multan,where water samples were *** levels,with concentrations ranging from 3.31 to 191 mg/l,exceeding the safe limit set by the World Health Organization(WHO)have been detected in 99.9%of the *** results show that arsenic content ranged from 3.31 to 191 mg/l,with 99.9%of the samples exceeding the World Health Organization's safe limit of 10 mg/*** CR and CI exceeded the USEPA limit of 10–6 in all four tehsils ranged from 2.6×10^(-6) to 9.4×10^(-6) and 0.00023 to 0.0009 respectively in both dermal and oral cases.,Multan Sadar(1.51,1.39)and Multan City(1.76,1.71)exhibited HI and HQ values that surpassed the threshold of 1.0,signaling a significant likelihood of chronic and cancer-causing health consequences for individuals who are exposed to polluted water causing *** findings suggest that the groundwater in the Multan district poses a significant health risk to humans due to high levels of arsenic *** contamination is associated with an increased risk of mortality from internal cancers(including liver,kidney,lung,and bladder),as well as a higher HI&CI incidence of skin ***,pregnancy outcomes are affected,with associations found between arsenic exposure and lower birth weight,and infant *** researchers propose that water supply organizations and educational institutions promptly take measures to ensure that the affected areas have access to arsenic-free drinking water for the well-being of students and residents.

关键词： Risk assessment Drinking water contamination Arsenic Primary school Pakistan

Deep Insight of Design,Mechanism,and Cancer Theranostic Strategy of Nanozymes

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Nano-Micro Letters 2024年第2期16卷 165-217页

作者： Lu Yang Shuming Dong Shili Gai Dan Yang He Ding Lili Feng Guixin Yang Ziaur rehman Piaoping Yang Key Laboratory of Superlight Materials and Surface Technology Ministry of EducationCollege of Materials Science and Chemical EngineeringHarbin Engineering UniversityHarbin 150001People’s Republic of China Yantai Research Institute Harbin Engineering UniversityYantai 264000People’s Republic of China Key Laboratory of Green Chemical Engineering and Technology of Heilongjiang Province College of Material Science and Chemical EngineeringHarbin University of Science and TechnologyHarbin 150040People’s Republic of China Department of Chemistry Quaid-i-Azam UniversityIslamabad 45320Pakistan

Since the discovery of enzyme-like activity of Fe3O4 nanoparticles in 2007,nanozymes are becoming the promising substitutes for natural enzymes due to their advantages of high catalytic activity,low cost,mild reaction conditions,good stability,and suitable for large-scale ***,with the cross fusion of nanomedicine and nanocatalysis,nanozyme-based theranostic strategies attract great attention,since the enzymatic reactions can be triggered in the tumor microenvironment to achieve good curative effect with substrate specificity and low side ***,various nanozymes have been developed and used for tumor *** this review,more than 270 research articles are discussed systematically to present progress in the past five ***,the discovery and development of nanozymes are ***,classification and catalytic mechanism of nanozymes are ***,activity prediction and rational design of nanozymes are focused by highlighting the methods of density functional theory,machine learning,biomimetic and chemical ***,synergistic theranostic strategy of nanozymes are ***,current challenges and future prospects of nanozymes used for tumor theranostic are outlined,including selectivity,biosafety,repeatability and stability,in-depth catalytic mechanism,predicting and evaluating activities.

关键词： Nanozymes Classification Prediction and design Catalytic mechanism Tumor theranostics

Empowering Diagnosis: Cutting-Edge Segmentation and Classification in Lung Cancer Analysis

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 2024年第6期79卷 4963-4977页

作者： Iftikhar Naseer Tehreem Masood Sheeraz Akram Zulfiqar Ali Awais Ahmad Shafiq Ur rehman Arfan Jaffar Faculty of Computer Sciences&Information Technology The Superior UniversityLahore54000Pakistan Intelligent Data Visual Computing Research(IDVCR) Lahore54000Pakistan Information System Department College of Computer and Information SciencesImam Mohammad Ibn Saud Islamic University(IMSIU)Riyadh11432Saudi Arabia School of Computer Science and Electronic Engineering(CSEE) University of EssexWivenhoe ParkColchesterCO43SQUK

Lung cancer is a leading cause of global mortality *** detection of pulmonary tumors can significantly enhance the survival rate of ***,various Computer-Aided Diagnostic(CAD)methods have been developed to enhance the detection of pulmonary nodules with high ***,the existing method-ologies cannot obtain a high level of specificity and *** present study introduces a novel model for Lung Cancer Segmentation and Classification(LCSC),which incorporates two improved architectures,namely the improved U-Net architecture and the improved AlexNet *** LCSC model comprises two distinct *** first stage involves the utilization of an improved U-Net architecture to segment candidate nodules extracted from the lung ***,an improved AlexNet architecture is employed to classify lung *** the first stage,the proposed model demonstrates a dice accuracy of 0.855,a precision of 0.933,and a recall of 0.789 for the segmentation of candidate *** suggested improved AlexNet architecture attains 97.06%accuracy,a true positive rate of 96.36%,a true negative rate of 97.77%,a positive predictive value of 97.74%,and a negative predictive value of 96.41%for classifying pulmonary cancer as either benign or *** proposed LCSC model is tested and evaluated employing the publically available dataset furnished by the Lung Image Database Consortium and Image Database Resource Initiative(LIDC-IDRI).This proposed technique exhibits remarkable performance compared to the existing methods by using various evaluation parameters.

关键词： Lung cancer segmentation AlexNet U-Net classification

An integrated land change modeler and distributed hydrological model approach for quantifying future urban runoff dynamics

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Science China Earth Sciences 2024年第10期67卷 3288-3301页

作者： Asad Hussain MUHAMMAD Waseem MUHAMMAD Ajmal MUHAMMAD Atiq Ur rehman Tariq MUHAMMAD Jiaqing XIAO Tao YANG Pengfei SHI Institute for Disaster Risk Management School of Geographical ScienceNanjing University of Information Science and TechnologyNanjing 210044China The National Key Laboratory of Water Disaster Prevention Hohai UniversityNanjing 210098China Yangtze Institute for Conservation and Development Hohai UniversityNanjing 210098China College of Hydrology and Water Resources Hohai UniversityNanjing 210098China Centre of Excellence in Water Resources Engineering University of Engineering and TechnologyLahore 54890Pakistan Department of Agricultural Engineering Faculty of CivilAgricultural and Mining EngineeringUniversity of Engineering and TechnologyPeshawar 25120Pakistan

Climate and land use changes have a significant impact on the runoff generation process in urban environments, and these effects could get worse in the future. The combined contributions of these changes have increased the risk of ***, there is a need for integrated modeling to better understand the runoff variability, especially in small urban catchments. To quantify and separate the effects of land-use changes and climate change on the hydrological response of urban catchments with a distributed hydrological model(Storm Water Management Model, SWMM), this study introduces a new integrated approach based on the Machine Learning based land use change modeler and climate change scenarios under *** on supervised classification and land use change model analysis, accumulated impervious area increase from 22%(in2023) to 33%(in 2060) was observed in the study area. Furthermore, integrating this projected increase in imperviousness with future climate change into SWMM by considering three different scenarios i.e., S1(Climate Change), S2(Combined Land Use and Climate Change), and S3(Land use Change) resulted that climate change could cause an increase in runoff from 13.2% to18.3% in peak runoff and the contribution of land use could range from 9.1% to 18.6%. Similarly, in response to the coupled effects of climate and land-use change, the runoff would likely change from 24.53% to 39.66%. Conclusively, the study showed that despite climate change, intensive urban development by the substitution of impervious surfaces could also have a severe impact on the microclimate and hydrology of small catchments. Lastly, this study could provide a way forward for the future planning and management of water resources in small catchments which could be extended to larger catchments.

关键词： Climate change Land-use modeling Runoff simulation Percent Imperviousness TerrSet

Einstein Hybrid Structure of q-Rung Orthopair Fuzzy Soft Set and Its Application for Diagnosis of Waterborne Infectious Disease

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

Computer Modeling in Engineering & Sciences 2024年第5期139卷 1863-1892页

作者： Rana Muhammad Zulqarnain Hafiz Khalil ur rehman Imran Siddique HijazAhmad Sameh Askar Shahid Hussain Gurmani School of Mathematical Sciences Zhejiang Normal UniversityJinhua321004China Department of Mathematics Government College UniversityFaisalabad38000Pakistan Department of Mathematics University of SargodhaSargodha40100Pakistan Section of Mathematics International Telematic University UninettunoCorso Vittorio Emanuele IIRoma3900186Italy Near East University Operational Research Center in HealthcareNear East BoulevardNicosia/Mersin 1099138Turkey Department of Statistics and Operations Research College of ScienceKing Saud UniversityPO Box 2455Riyadh11451Saudi Arabia

This research is devoted to diagnosing water-borne infectious diseases caused by floods employing a novel diagnosis approach,the Einstein hybrid structure of q-rung orthopair fuzzy soft *** approach integrates parts of fuzzy logic and soft set theory to develop a robust alternative for disease detection in stressful situations,especially in areas affected by *** to the traditional intuitionistic fuzzy soft set and Pythagorean fuzzy soft set,the q-rung orthopair fuzzy soft set(q-ROFSS)adequately incorporates unclear and indeterminate *** major objective of this investigation is to formulate the q-rung orthopair fuzzy soft Einstein hybrid weighted average(q-ROFSEHWA)operator and its specific ***,our stated operator is implementing intelligentmulti-criteria group decision-making(MCGDM)*** are severe natural catastrophes that raise the risk of diseases and epidemics,particularly those caused by contaminants in the water,such as gastrointestinal diseases,respiratory infections,vector-borne diseases,skin infections,and water-borne *** designed MCGDM strategy tackles the prevalence of certain conditions in flood-affected patients.A comparative investigation determined that the suggested method for detecting water-borne infectious disease due to floods is more effective and productive than conventional methods because of its logical structure.

关键词： q-rung orthopair fuzzy soft set q-ROFSEHWA operator MCGDM environmental disaster water-born infection disease

Enhancing Secure Development in Globally Distributed Software Product Lines: A Machine Learning-Powered Framework for Cyber-Resilient Ecosystems

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 2024年第6期79卷 5031-5049页

作者： Marya Iqbal Yaser Hafeez Nabil Almashfi amjad Alsirhani Faeiz Alserhani Sadia Ali Mamoona Humayun Muhammad Jamal University Institute of Information Technology PMAS-Arid Agriculture UniversityRawalpindiPakistan Department of Software Engineering College of Computer and Information SciencesJouf UniversityAl Jouf72388Saudi Arabia Department of Computer Science College of Computer and Information SciencesJouf UniversityAl Jouf72388Saudi Arabia Department of Computer Engineering&Networks College of Computer and Information SciencesJouf UniversityAl Jouf72388Saudi Arabia Department of Information Systems College of Computer and Information SciencesJouf UniversitySakakaAl Jouf72388Saudi Arabia Department of Mathematics Pir Mehr Ali Shah Arid Agriculture UniversityRawalpindiPakistan

Embracing software product lines(SPLs)is pivotal in the dynamic landscape of contemporary software ***,the flexibility and global distribution inherent in modern systems pose significant challenges to managing SPL variability,underscoring the critical importance of robust cybersecurity *** paper advocates for leveraging machine learning(ML)to address variability management issues and fortify the security of *** the context of the broader special issue theme on innovative cybersecurity approaches,our proposed ML-based framework offers an interdisciplinary perspective,blending insights from computing,social sciences,and ***,it employs ML for demand analysis,dynamic feature extraction,and enhanced feature selection in distributed settings,contributing to cyber-resilient *** experiments demonstrate the framework’s superiority,emphasizing its potential to boost productivity and security in *** digital threats evolve,this research catalyzes interdisciplinary collaborations,aligning with the special issue’s goal of breaking down academic barriers to strengthen digital ecosystems against sophisticated attacks while upholding ethics,privacy,and human values.

关键词： Machine Learning variability management cybersecurity digital ecosystems cyber-resilience

Assessment of plastic degradation by indigenous bacteria from waste disposal sites

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Emerging Contaminants 2024年第3期10卷 111-123页

作者： Farzana Javid Ghadir Ali Abdul rehman Rehan Naeem Imran Ali Iffat Naz Department of Microbiology and Biotechnology Faculty of Life SciencesAbasyn University Peshawar CampusPeshawar25000Khyber PakhtunkhwaPakistan Department of Life Sciences School of ScienceUniversity of Management and Technology(UMT)Lahore54700Pakistan Department of Microbiology Kohat University of Science and Technology(KUST)Kohat26000Khyber PakhtunkhwaPakistan Department of Biotechnology and Genetic Engineering Kohat University of Science and Technology(KUST)Kohat26000Khyber PakhtunkhwaPakistan Department of Botany Kohat University of Science and Technology(KUST)Kohat26000Khyber PakhtunkhwaPakistan Department of Biology Deanship of Educational ServicesQassim UniversityBuraydah51452Kingdom of Saudi Arabia

The present study focuses on the isolation of bacterial pathogens from waste disposal sites,and examination of their efficiencies for degrading various *** bacterial isolates such as ***,Corynebacterium spp.,Micrococcus spp.,Azotobacter spp.,Pseudomonas spp.,Staphylococcus spp.,and Bacillus *** *** *** the highest percentage reduction in black plastic weight(47.46%),while Corynebacterium spp.,and *** achieved a maximum reduction of 45.76 and 46.42%for pink plastic *** *** Micrococcus *** notable reductions of 46.43%and 56.60%in white and Canteen Stores Department(CSD)biodegradable plastics,*** density(OD)measurements revealed that bacterial isolates achieved maximum OD values with CSD plastics,emphasizing their proficiency in plastic *** Transform Infrared Spectroscopy(FTIR)confirmed the degradation process,with a decrease in the peak value from 2916 to 2914 cm^(-1) for pink plastic,signifying alkane,and alkene *** new peaks at 1398,1371,and 1361 cm^(-1) in the FTIR spectrum of CSD plastic indicated presence of *** Electron Microscopic(SEM)micrographs illustrated bacterial colonization,cracks,and spots on plastic surfaces,while Xray Diffraction(XRD)spectra showed peaks at 4.083,3.705,3.020,and 1.909,suggesting plastic *** conclusion,soil of waste disposal site harbored diverse microbial species,and have highlighted their effectiveness in mitigating environmental pollution by degrading hazardous plastic waste.

关键词： Plastic degradation Bacterial isolates Waste disposal sites Fourier transform infrared spectroscopy Scanning electron microscopy X-ray diffraction Environmental pollution

Panoramic variation analysis of a family with neurodevelopmental disorders caused by biallelic loss-of-function variants in TMEM141,DDHD2,and LHFPL5

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Frontiers of Medicine 2024年第1期18卷 81-97页

作者： Liwei Sun Xueting Yang amjad Khan Xue Yu Han Zhang Shirui Han Xiaerbati Habulieti Yang Sun Rongrong Wang Xue Zhang McKusick-Zhang Center for Genetic Medicine State Key Laboratory for Complex Severe and Rare DiseasesInstitute of Basic Medical Sciences Chinese Academy of Medical SciencesSchool of Basic Medicine Peking Union Medical CollegeBeijing100005China Chongqing Key Laboratory of Human Embryo Engineering Center for Reproductive MedicineNational Key Clinical Speciality Construction Project(Obstetrics and Gynecology)Chongqing Health Center for Women and ChildrenChongqing400013China Chongqing Clinical Research Center for Reproductive Medicine Women and Children’s Hospital of Chongqing Medical UniversityChongqing400013China Faculty of Biological Sciences Department of ZoologyUniversity of Lakki MarwatKhyber Pakhtunkhwa28420Pakistan Institute for Medical Genetics and Applied Genomics University of TübingenTübingen72076Germany Alexander von Humboldt fellowship Foundation Berlin10117Germany Department of Pediatrics The First Affiliated Hospital of Guangxi Medical UniversityNanning530000China Department of Laboratory Medicine State Key Laboratory for Complex Severe and Rare DiseasesPeking Union Medical College HospitalChinese Academy of Medical Science and Peking Union Medical CollegeBeijing100730China

Highly clinical and genetic heterogeneity of neurodevelopmental disorders presents a major challenge in clinical genetics and *** variation analysis is imperative to analyze the disease phenotypes resulting from multilocus genomic ***,a Pakistani family with parental consanguinity was presented,characterized with severe intellectual disability(ID),spastic paraplegia,and *** mapping,integrated single nucleotide polymorphism(SNP)array,whole-exome sequencing,and whole-genome sequencing were performed,and homozygous variants in TMEM141(c.270G>A,***90^(*)),DDHD2(c.411+767_c.1249-327del),and LHFPL5(c.250delC,***84^(*))were identified.A Tmem141^(***90^(*)/***90^(*))mouse model was *** studies showed impairments in learning ability and motor *** slice electrophysiology and Golgi staining demonstrated deficient synaptic plasticity in hippocampal neurons and abnormal dendritic branching in cerebellar Purkinje *** electron microscopy showed abnormal mitochondrial ***,studies on a human in vitro neuronal model(SH-SY5Y cells)with stable shRNA-mediated knockdown of TMEM141 showed deleterious effect on bioenergetic function,possibly explaining the pathogenesis of replicated phenotypes in the cross-species mouse ***,panoramic variation analysis revealed that multilocus genomic variations of TMEM141,DDHD2,and LHFPL5 together caused variable phenotypes in ***,the biallelic loss-of-function variants of TMEM141 were responsible for syndromic ID.

关键词： neurodevelopmental disorder autosomal recessive intellectual disability consanguinity spastic paraplegia hearing loss TMEM141

Self-supported copper-based gas diffusion electrodes improve the local CO_(2)concentration for efficient electrochemical CO_(2)reduction

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Frontiers of Chemical Science and Engineering 2024年第3期18卷 51-62页

作者： Azeem Mustafa Bachirou Guene Lougou Yong Shuai Zhijiang Wang Haseeb-ur-rehman Samia Razzaq Wei Wang Ruming Pan Jiupeng Zhao Key Laboratory of Aerospace Thermophysics of MIIT Harbin Institute of TechnologyHarbin150001China School of Energy Science and Engineering Harbin Institute of TechnologyHarbin150001China MIIT Key Laboratory of Critical Materials Technology for New Energy Conversion and Storage School of Chemistry and Chemical EngineeringHarbin Institute of TechnologyHarbin150001China Mechanical Engineering Department University of Engineering and TechnologyTaxila47050Pakistan School of Aerospace Mechanical and Mechatronics EngineeringUniversity of SydneySydney2006Australia

Electrochemical CO_(2)reduction is a sustainable approach in green chemistry that enables the production of valuable chemicals and fuels while mitigating the environmental impact associated with CO_(2)*** its several advantages,this technology suffers from an intrinsically low CO_(2)solubility in aqueous solutions,resulting in a lower local CO_(2)concentration near the electrode,which yields lower current densities and restricts product *** diffusion electrodes(GDEs),particularly those with tubular architectures,can solve these issues by increasing the local CO_(2)concentration and triple-phase interface,providing abundant electroactive sites to achieve superior reaction *** this study,robust and self-supported Cu flow-through gas diffusion electrodes(FTGDEs)were synthesized for efficient formate production via electrochemical CO_(2)*** were further compared with traditional Cu electrodes,and it was found that higher local CO_(2)concentration due to improved mass transfer,the abundant surface area available for the generation of the triple-phase interface,and the porous structure of Cu FTGDEs enabled high formate Faradaic efficiency(76%)and current density(265 mA¸cm^(−2))at–0.9 V *** hydrogen electrode(RHE)in 0.5 mol·L^(−1)*** combined phase inversion and calcination process of the Cu FTGDEs helped maintain a stable operation for several *** catalytic performance of the Cu FTGDEs was further investigated in a non-gas diffusion configuration to demonstrate the impact of local gas concentration on the activity and performance of electrochemical CO_(2)*** study demonstrates the potential of flow-through gas-diffusion electrodes to enhance reaction kinetics for the highly efficient and selective reduction of CO_(2),offering promising applications in sustainable electrochemical processes.

关键词： CO_(2)electroreduction flow-through delivery hollow fiber structure local concentration formate