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Plant Nitrogen Metabolism: Balancing Resilience to Nutritional Stress andAbiotic Challenges

Phyton-International Journal of Experimental Botany 2024年第3期93卷 581-609页

作者： muhammad Farhan Manda Sathish Rafia Kiran Aroosa Mushtaq Alaa Baazeem Ammarah Hasnain Fahad Hakim Syed Atif Hasan Naqvi Mustansar Mubeen Yasir Iftikhar Aqleem Abbas muhammad zeeshan hassan Mahmoud Moustafa Department of Plant Pathology Faculty of Agricultural Sciences&TechnologyBahauddin Zakariya UniversityMultan60800Pakistan Centro de Investigación de Estudios Avanzados del Maule(CIEAM) Vicerrectoría de Investigación y PostgradoUniversidad Católica del MauleTalca3460000Chile College of Food Science and Nutritional Engineering China Agricultural UniversityBeijingChina Department of Biology College of ScienceTaif UniversityP.O.Box 11099Taif21944Saudi Arabia Department of Biotechnology Faculty of Biological SciencesLahore University of Biological and Applied SciencesLahorePakistan Department of Plant Pathology College of AgricultureUniversity of SargodhaSargodha40100Pakistan Department of Agriculture and Food Technology Karakorum International UniversityGilgitPakistan Department of Biology Faculty of ScienceKing Khalid UniversityAbhaSaudi Arabia

Plant growth and resilience to abiotic stresses,such as soil salinity and drought,depend intricately on nitrogen *** review explores nitrogen’s regulatory role in plant responses to these challenges,unveiling a dynamic interplay between nitrogen availability and abiotic *** the context of soil salinity,a nuanced rela-tionship emerges,featuring both antagonistic and synergistic interactions between salinity and nitrogen ***-induced chlorophyll depletion in plants can be alleviated by optimal nitrogen supplementation;however,excessive nitrogen can exacerbate salinity *** delve into the complexities of this interaction and its agri-cultural ***,a vital element within essential plant structures like chloroplasts,elicits diverse responses based on its *** review comprehensively examines manifestations of nitrogen deﬁciency and toxicity across various crop types,including cereals,vegetables,legumes,and ***,we explore the broader consequences of nitrogen products,such as N_(2)O,NO_(2),and ammonia,on human ***-ing the intricate relationship between nitrogen and salinity,especially chloride accumulation in nitrate-fed plants and sodium buildup in ammonium-fed plants,is pivotal for optimizing crop nitrogen ***,prudent nitrogen use is essential,as overapplication can exacerbate nitrogen-related *** Use Efﬁ-ciency(NUE)is of paramount importance in addressing salinity challenges and enhancing sustainable crop *** this goal requires advancements in crop varieties with efﬁcient nitrogen utilization,pre-cise timing and placement of nitrogen fertilizer application,and thoughtful nitrogen source selection to mitigate losses,particularly urea-based fertilizer *** review article delves into the multifaceted world of plant nitrogen metabolism and its pivotal role in enabling plant resilience to nutritional stress and abiotic chall

关键词： Synthetic nitrogen nitrogen signaling sustainable agriculture eutrophication ammonium nitrate

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Risk of infection with arboviruses in a healthy population in Pakistan based on seroprevalence

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Virologica Sinica 2024年第3期39卷 369-377页

作者： Shengyao Chen muhammad Saqib Hafiz Sajid Khan Yuan Bai Usman Ali Ashfaq muhammad Khalid Mansoor Abulimti Moming Jing Liu Min Zhou Saifullah Khan Niazi Qiaoli Wu Awais-Ur-Rahman Sial Shuang Tang muhammad hassan Sarfraz Aneela Javed Sumreen Hayat Mohsin Khurshid Iahtasham Khan muhammad Ammar Athar zeeshan Taj Bo Zhang Fei Deng Ali Zohaib Shu Shen Key Laboratory of Virology and National Virus Resource Center Wuhan Institute of VirologyChinese Academy of SciencesWuhan 430071China University of Chinese Academy of Sciences Beijing 100049China Faculty of Veterinary Science University of Agriculture FaisalabadFaisalabad 38040Pakistan The Children's Hospital Faisalabad 38000Pakistan Department of Bioinformatics and Biotechnology Government College University FaisalabadFaisalabad 38000Pakistan f Department of Microbiology Faculty of Veterinary and Animal SciencesThe Islamia University of BahawalpurBahawalpur 63100Pakistan Hubei Jiangxia Laboratory Wuhan 430200China Key Laboratory of Special Pathogens and Biosafety Wuhan Institute of VirologyCenter for Biosafety Mega-ScienceChinese Academy of SciencesWuhan 430071China Armed Forces Institute of Pathology(AFIP) Rawalpindi 46000Pakistan Department of Clinical Studies Faculty of Veterinary&Animal SciencesPir Mehr Ali Shah Arid Agriculture UniversityRawalpindi 46300Pakistan Institute of Microbiology Government College University FaisalabadFaisalabad 38000Pakistan l Atta-ur-Rahman School of Applied Biosciences National University of Science and TechnologyIslamabad 44000Pakistan Department of Clinical Sciences University of Veterinary and Animal SciencesLahore Sub-campusJhang 35200Pakistan Department of Molecular Pathology National Medical Center DHA Phase 1Karachi 75500Pakistan

Infectious diseases caused by arboviruses are a public health concern in ***,studies on data prevalence and threats posed by arboviruses are *** study investigated the seroprevalence of arboviruses in a healthy population in Pakistan,including severe fever with thrombocytopenia syndrome virus(SFTSV),Crimean-Congo hemorrhagic fever virus(CCHFV),Tamdy virus(TAMV),and Karshi virus(KSIV)based on a newly established luciferase immunoprecipitation system(LIPS)assays,and Zika virus(ZIKV)by enzyme-linked immunosorbent assays(ELISA).Neutralizing activities against these arboviruses were further examined from the antibody positive *** results showed that the seroprevalence of SFTSV,CCHFV,TAMV,KSIV,and ZIKV was 17.37%,7.58%,4.41%,1.10%,and 6.48%,respectively,and neutralizing to SFTSV(1.79%),CCHFV(2.62%),and ZIKV(0.69%)were identified,as well as to the SFTSV-related Guertu virus(GTV,0.83%).Risk factors associated with the incidence of exposure and levels of antibody response were ***,co-exposure to different arboviruses was demonstrated,as thirty-seven individuals were having antibodies against multiple viruses and thirteen showed neutralizing ***,individuals aged40 years,and outdoor workers had a high risk of exposure to *** these results reveal the substantial risks of infection with arboviruses in Pakistan,and indicate the threat from co-exposure to multiple *** findings raise the need for further epidemiologic investigation in expanded regions and populations and the necessity to improve health surveillance in Pakistan.

关键词： Arbovirus Pakistan Seroprevalence Tick-borne virus Mosquito-borne virus

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Determination of the best materials for development and designing product using a multi-criteria decision-making

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Railway Sciences 2024年第5期3卷 541-557页

作者： Rabia hassan zeeshan Ahmad Arfeen Mehreen Kausar Azam Zain ul Abiden Akhtar Abubakar Siddique Department of Management Economicsand Industrial Engineering DIGPolitecnico di MilanoMilanItaly Department of Electrical Engineering College of Engineering and SciencesInstitute of Business Management SindhKarachiPakistan Department of Electrical Engineering The Islamia University of Bahawalpur PakistanBahawalpurPakistan Department of Industrial Manufacturing NED University of Engineering and TechnologyKarachiPakistan Department of Information and Communication Engineering The Islamia University of Bahawalpur PakistanBahawalpurPakistan Department of Electrical Engineering Khwaja Fareed University of Engineering and Information TechnologyRahim Yar KhanPakistan muhammad Rashid Department of Electrical Engineering Faculty of ScienceThe Islamia University of Bahawalpur PakistanBahawalpurPakistan

Purpose–Material selection,driven by wide and often conflicting objectives,is an important,sometimes difficult problem in material *** this context,multi-criteria decision-making(MCDM)methodologies are *** approach of MCDM is needed to cater to criteria of material assortment *** firms are now concerned about increasing their productivity using mathematical *** occupy a gap in the previous literature this research recommends an integrated MCDM and mathematical Bi-objective model for the selection of *** addition,by using the Technique for Order Preference by Similarity to Ideal Solution(TOPSIS),the inherent ambiguities of decision-makers in paired evaluations are considered in this *** goes on to construct a mathematical bi-objective model for determining the best item to ***/methodology/approach–The entropy perspective is implemented in this paper to evaluate the weight parameters,while the TOPSIS technique is used to determine the best and worst intermediate pipe materials for automotive exhaust *** intermediate pipes are used to join the components of the exhaust *** materials usually used to manufacture intermediate pipe are SUS 436LM,SUS 430,SUS 304,SUS 436L,SUH 409 L,SUS 441 L and SUS *** seven materials are evaluated based on tensile strength(TS),hardness(H),elongation(E),yield strength(YS)and cost(C).A hybrid methodology combining entropy-based criteria weighting,with the TOPSIS for alternative ranking,is pursued to identify the optimal design material for an engineered application in this *** study aims to help while filling the information gap in selecting the most suitable material for use in the exhaust intermediate *** that,the authors searched for and considered eight materials and evaluated them on the following five criteria:(1)TS,(2)YS,(3)H,(4)E and(5)*** first two criteria have been chosen because they can have a lot of influence on the behav

关键词： TOPSIS Multi-criteria decision-making Entropy method Material selection

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Block-Wise Neural Network for Brain Tumor Identification in Magnetic Resonance Images

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Computers, Materials & Continua 2022年第12期73卷 5735-5753页

作者： Abdullah A.Asiri muhammad Aamir Ahmad Shaf Tariq Ali muhammad zeeshan muhammad Irfan Khalaf A.Alshamrani hassan A.Alshamrani Fawaz F.Alqahtani Ali H.D.Alshehri Radiological Sciences Department College of Applied Medical SciencesNajran UniversityNajran 61441Saudi Arabia Department of Computer Science COMSATS University IslamabadSahiwal CampusSahiwal57000Pakistan Department of Computer Science Bahauddin Zakariya UniversityMultan 66000Pakistan Electrical Engineering Department College of EngineeringNajran UniversityNajran61441Saudi Arabia

The precise brain tumor diagnosis is critical and shows a vital role in the medical support for treating tumor *** brain tumor segmentation for cancer analysis from many Magnetic Resonance Images(MRIs)created in medical practice is a problematic and timewasting task for *** a result,there is a critical necessity for more accurate computeraided methods for early tumor *** remove this gap,we enhanced the computational power of a computer-aided system by proposing a finetuned Block-Wise Visual Geometry Group19(BW-VGG19)*** this method,a pre-trained VGG19 is fine-tuned with CNN architecture in the block-wise mechanism to enhance the system`s *** publicly accessible Contrast-Enhanced Magnetic Resonance Imaging(CE-MRI)dataset collected from 2005 to 2020 from different hospitals in China has been used in this *** proposed method is simple and achieved an accuracy of 0.98%.We compare our technique results with the existing Convolutional Neural network(CNN),VGG16,and VGG19 *** results indicate that our proposed technique outperforms the best results associated with the existing methods.

关键词： CNN brain tumor block-wise structure VGG19 VGG16

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Breast Cancer Detection in Saudi Arabian Women Using Hybrid Machine Learning on Mammographic Images

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Computers, Materials & Continua 2022年第9期72卷 4833-4851页

作者： Yassir Edrees Almalki Ahmad Shaf Tariq Ali muhammad Aamir Sharifa Khalid Alduraibi Shoayea Mohessen Almutiri muhammad Irfan Mohammad Abd Alkhalik Basha Alaa Khalid Alduraibi Abdulrahman Manaa Alamri muhammad zeeshan Azam Khalaf Alshamrani hassan A.Alshamrani Division of Radiology Department of MedicineMedical CollegeNajran UniversityNajran61441Kingdom of Saudi Arabia Department of Computer Science COMSATS University IslamabadSahiwal CampusSahiwal57000Pakistan Department of Radiology College of MedicineQassim UniversityBuraidah52571Kingdom of Saudi Arabia Department of Radiology King Fahad Specialist HospitalBuraydah52571Kingdom of Saudi Arabia Electrical Engineering Department College of EngineeringNajran UniversityNajran61441Kingdom of Saudi Arabia Radiology Department Human Medicine CollegeZagazig UniversityZagazig44631Egypt Department of Surgery College of MedicineNajran UniversityNajran61441Kingdom of Saudi Arabia Department of Computer Science Bahauddin Zakariya UniversityMultan66000Pakistan Radiological Sciences Department College of Applied Medical SciencesNajran UniversityNajran61441Kingdom of Saudi Arabia

Breast cancer(BC)is the most common cause of women’s deaths *** mammography technique is the most important modality for the detection of *** detect abnormalities in mammographic images,the Breast Imaging Reporting and Data System(BI-RADs)is used as a *** correct allocation of BI-RADs categories for mammographic images is always an interesting task,even for *** this work,to detect and classify the mammogram images in BI-RADs,a novel hybrid model is presented using a convolutional neural network(CNN)with the integration of a support vector machine(SVM).The dataset used in this research was collected from different hospitals in the Qassim health cluster of Saudi *** collection of all categories of BI-RADs is one of the major contributions of this *** significant contribution is the development of a hybrid approach through the integration of CNN and *** proposed hybrid approach uses three CNN models to obtain ensemble CNN model *** ensemble model saves the values to integrate them with *** proposed system achieved a classification accuracy,sensitivity,specificity,precision,and F1-score of 93.6%,94.8%,96.9%,96.6%,and 95.7%,*** proposed model achieved better performance compared to previously available methods.

关键词： Breast cancer CNN SVM BIRADS classification

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Influence of Seedling Age and Nitrogen Rates on Productivity of Rice (<i>Oryza sativa</i>L.): A Review

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American Journal of Plant Sciences 2015年第9期6卷 1361-1369页

作者： muhammad Mahran Aslam muhammad zeeshan Ayesha Irum muhammad Umair hassan Saif Ali Rashid Hussain Pia muhammad Adnan Ramzani muhammad Farhan Rashid Department of Plant Breeding and Genetics University of Agriculture Faisalabad Pakistan Department of Agronomy University of Agriculture Faisalabad Pakistan Institute of Soil and Environmental Science University of Agriculture Faisalabad Pakistan Institute of Horticultural Sciences University of Agriculture Faisalabad Pakistan

Rice is an important crop and the food security of the world is strongly associated with it as it is the staple food of half of the world’s population. Among various agro-management practices seedling age and nitrogen rates significantly affected its growth, development and yield components. Rice cultivars performed differently when transplanted in field at varying seedling ages depending upon their genetic makeup and adoptability to certain environmental conditions. Seedling age plays an important role in yield contributing parameters like number of productive tillers, panicle length, filled grains panicle-1 and 1000-kernel weight leading to higher paddy yield in different rice cultivars and hybrids. Nitrogen is required in huge quantity in rice production as it is an important constituent of plant parts and processes. Paddy yield increases significantly with the increase in nitrogen rate but after a certain limit yield starts decreasing. Keeping in view the significance of seedling age and nitrogen rates in different rice cultivars and hybrids, an effort has been made to review some research work already conducted and will be helpful to the researchers and scientists to plan future strategies.

关键词： Hybrid Rice Seedling Age Nitrogen Rates Paddy Yield

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