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The correlation of spot urinary protein-to-creatinine ratio with 24-h urinary protein excretion in various glomerulopathies

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World Journal of Nephrology 2023年第5期12卷 159-167页

作者： Amber Raza syed haider nawaz Rahma Rashid Ejaz Ahmed Muhammed Mubarak Department of Nephrology Sindh Institute of Urology and TransplantationSindhKarachi 74200Pakistan Department of Pathology Sindh Institute of Urology and TransplantationSindhKarachi 74200Pakistan

BACKGROUND Proteinuria is an important and well-known biomarker of many forms of kidney *** quantitation is of particular importance in the diagnosis and management of glomerular *** quantification can be done by several *** these,the measurement of 24-h urinary protein excretion is the gold standard ***,it is cumbersome,time-consuming,and inconvenient for patients and is not completely *** alternative methods have been tested over time albeit with conflicting *** the latter,the measurement of urine protein-to-creatinine ratio(uPCR)in singlevoided urinary samples is widely *** majority of studies found a good correlation between uPCR in single urine samples with 24-h urinary protein estimation,whereas others did *** To investigate the correlation of spot uPCR with 24-h urinary protein estimation in patients suffering from different forms of glomerulopathies at a single largevolume nephrological center in *** This cross-sectional,observational study was conducted at the Department of Nephrology,Sindh Institute of Urology and Transplantation,Karachi,Pakistan from September 2017 to March *** newly presenting adult patients with proteinuria who were being investigated for suspected glomerulonephritis and persistent proteinuria with ages between 18 to 60 years were *** patients were given detailed advice regarding 24-h urine collection starting at 7:00 AM for total protein and creatinine excretion estimations.A spot urine sample was collected the next day at the time of submission of a 24-h urine sample for measuring uPCR along with a blood *** data of patients were collected in a *** version 20.0 was used for statistical *** A total of 157 patients were *** mean age was 30.45±12.11 *** were 94(59.8%)males and 63(40.2%)*** mean 24-h urinary protein excretion was 3192.78±1959.79 mg and the mean spot uPCR was 3.16±1.52 in al

关键词： Glomerulopathies 24-h proteinuria Spot urinary protein-to-creatinine ratio Correlation Proteinuria Agreement

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Refined Anam-Net:Lightweight Deep Learning Model for Improved Segmentation Performance of Optic Cup and Disc for Glaucoma Diagnosis

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Computers, Materials & Continua 2024年第7期80卷 1381-1405页

作者： Khursheed Aurangzeb syed Irtaza haider Musaed Alhussein Department of Computer Engineering College of Computer and Information SciencesKing Saud UniversityP.O.Box 51178Riyadh11543Saudi Arabia

In this work,we aim to introduce some modifications to the Anam-Net deep neural network(DNN)model for segmenting optic cup(OC)and optic disc(OD)in retinal fundus images to estimate the cup-to-disc ratio(CDR).The CDR is a reliable measure for the early diagnosis of *** this study,we developed a lightweight DNN model for OC and OD segmentation in retinal fundus *** DNN model is based on modifications to Anam-Net,incorporating an anamorphic depth embedding *** reduce computational complexity,we employ a fixed filter size for all convolution layers in the encoder and decoder stages as the network *** modification significantly reduces the number of trainable parameters,making the model lightweight and suitable for resource-constrained *** evaluate the performance of the developed model using two publicly available retinal image databases,namely RIM-ONE and *** results demonstrate promising OC segmentation performance across most standard evaluation metrics while achieving analogous results for OD *** used two retinal fundus image databases named RIM-ONE and Drishti-GS that contained 159 images and 101 retinal images,*** OD segmentation using the RIM-ONE we obtain an f1-score(F1),Jaccard coefficient(JC),and overlapping error(OE)of 0.950,0.9219,and 0.0781,***,for OC segmentation using the same databases,we achieve scores of 0.8481(F1),0.7428(JC),and 0.2572(OE).Based on these experimental results and the significantly lower number of trainable parameters,we conclude that the developed model is highly suitable for the early diagnosis of glaucoma by accurately estimating the CDR.

关键词： Refined Anam-Net parameter tuning deep learning optic cup optic disc cup-to-disc ratio glaucoma diagnosis

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Deep Learning Approach for Hand Gesture Recognition:Applications in Deaf Communication and Healthcare

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Computers, Materials & Continua 2024年第1期78卷 127-144页

作者： Khursheed Aurangzeb Khalid Javeed Musaed Alhussein Imad Rida syed Irtaza haider Anubha Parashar Department of Computer Engineering College of Computer and Information SciencesKing Saud UniversityP.O.Box 51178Riyadh11543Kingdom of Saudi Arabia Department of Computer Engineering College of Computing and InformaticsUniversity of SharjahSharjah27272United Arab Emirates Laboratory Biomechanics and Bioengineering University of Technology of CompiegneCompiegne60200France Department of Computer Science and Engineering Manipal University JaipurJaipur303007India

Hand gestures have been used as a significant mode of communication since the advent of human *** facilitating human-computer interaction(HCI),hand gesture recognition(HGRoc)technology is crucial for seamless and error-free *** technology is pivotal in healthcare and communication for the deaf *** significant advancements in computer vision-based gesture recognition for language understanding,two considerable challenges persist in this field:(a)limited and common gestures are considered,(b)processing multiple channels of information across a network takes huge computational time during discriminative feature ***,a novel hand vision-based convolutional neural network(CNN)model named(HVCNNM)offers several benefits,notably enhanced accuracy,robustness to variations,real-time performance,reduced channels,and ***,these models can be optimized for real-time performance,learn from large amounts of data,and are scalable to handle complex recognition tasks for efficient human-computer *** proposed model was evaluated on two challenging datasets,namely the Massey University Dataset(MUD)and the American Sign Language(ASL)Alphabet Dataset(ASLAD).On the MUD and ASLAD datasets,HVCNNM achieved a score of 99.23% and 99.00%,*** results demonstrate the effectiveness of CNN as a promising HGRoc *** findings suggest that the proposed model have potential roles in applications such as sign language recognition,human-computer interaction,and robotics.

关键词： Computer vision deep learning gait recognition sign language recognition machine learning

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Flexible pavement longitudinal joint quality evaluation using non-destructive testing

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Journal of Road Engineering 2024年第2期4卷 189-202页

作者： Hamad Bin Muslim syed Waqar haider Lev Khazanovich Department of Civil and Environmental Engineering Michigan State UniversityEast LansingMI 48824USA Department of Civil and Environmental Engineering University of PittsburghPittsburghPA 15261USA

Longitudinal joint construction quality is critical to the life of flexible *** deteriorated longitudinal joints has become a challenge for many highway *** the joint's quality through better compaction during construction can help achieve flexible pavements with longer service lives and less *** quality control(QC)and quality assurance(QA)plans provide limited ***,the risk of missing areas with poor joint compaction is significant.A density profiling system(DPS)is a non-destructive alternative to conventional destructive evaluation *** can provide quick and continuous real-time coverage of the compaction during construction in *** paper presents several case studies comparing various types of longitudinal joints and demonstrating the use of DPS to evaluate the joint's compaction *** paper shows that dielectric measurements can provide valuable insight into the ability of various construction techniques to achieve adequate levels of compaction at the longitudinal *** paper proposes a dielectric-based longitudinal joint quality index(LJQI)to evaluate the relative compaction of the joint during *** also shows that adopting DPS for assessing the compaction of longitudinal joints can minimize the risk of agencies accepting poorly constructed joints,identify locations of poor quality during construction,and achieve better-performing flexible pavements.

关键词： Sustainable pavements Dielectric/density profiling system Quality assurance Non-destructive testing Asphalt longitudinal joint

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不同寄主对马铃薯瓢虫生长发育和繁殖的影响

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应用昆虫学报 2024年第2期 287-294页

作者：李文博 nawaz haider Bashir 陈欢欢李新畅王自杰都兰田睿林曲靖师范学院生物资源与食品工程学院承德市农林科学院黑龙江省农业科学院佳木斯分院内蒙古师范大学生命科学与技术学院

【目的】马铃薯瓢虫Henosepilachna vigintioctomaculata (Motschulsky)是农田生态系统中常见的食叶类害虫。马铃薯SolanumtuberosumL.、大豆Glycinemax(Linn.)Merr.、茄子Solanum melongena L.、辣椒Capsicum annuum L.和白菜Brassica rapa var. glabra Regel是该害虫的重要寄主植物。【方法】本研究以5种农作物为供试寄主，研究马铃薯瓢虫对各寄主植物的适应性。【结果】马铃薯瓢虫取食马铃薯和茄子时的幼虫发育历期短、蛹较重、幼虫存活率高、成虫寿命长且产卵量高。马铃薯瓢虫在马铃薯、大豆、茄子和白菜4种寄主植物上均能实现种群繁殖，相比大豆和白菜，马铃薯和茄子更利于马铃薯瓢虫的生长发育。种群内禀增长率（rm=0.129 d﹣1,0.127 d﹣1）、净增殖率（R0=52.066粒，51.384粒）、周限增长率（λ=1.138 d﹣1,1.136 d﹣1）和种群趋势指数（I=120.99,115.17）均在马铃薯和茄子饲喂条件下最高，平均世代周期短于其他寄主植物。【结论】马铃薯瓢虫在5种寄主植物上均有很好的适应性，其中饲喂马铃薯的种群生物学特性参数最好，其次是茄子。

关键词：马铃薯瓢虫寄主植物发育历期生命表

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Environmental impact of energy imports:Natural resources income and natural gas production profitability in the Asia-Pacific Economic Cooperation Countries

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Geoscience Frontiers 2024年第2期15卷 125-139页

作者： Aimin Pan Si Xu syed Anees haider Zaidi School of Business Hunan University of Science and TechnologyXiangtanChina School of Tourism and Economic Management Nanchang Normal UniversityNanchangChina Faculty of Economic Sciences University of WarsawPoland

Environmental degradation is a pressing global concern,with the energy sector being one of the major contributors to this *** environmental impact of energy imports,particularly regarding natural resources income and natural gas production profitability,cannot be *** must assess the environmental consequences of their energy choices and take steps to minimize their *** transitioning to cleaner and more sustainable energy sources,countries can ensure a better future for the environment and their *** study examines the impact of energy imports and natural resources income on environmental degradation in the Asia-Pacific Economic Cooperation(APEC)countries from 1990 to 2020,using revenue minus the production cost of natural gas and electricity production from renewable sources as moderating ***-run estimates are derived using the Generalized Method of Moments and robust least *** findings elucidate that importing energy from countries specializing in renewable energy can help reduce reliance on fossil *** diversification of energy sources decreases the overall carbon footprint and contributes to a cleaner *** gas production often involves infrastructure construction,such as drilling rigs and pipelines,which can disrupt natural habitats and wildlife *** destruction of ecosystems can have long-term consequences on biodiversity and ecological *** environmental impact of energy imports,particularly related to natural resource income and natural gas production profitability,requires BRICS countries to take proactive *** nations can address the environmental challenges associated with their energy demands by implementing policies prioritizing sustainable resource management,carbon pricing,stringent regulation,and investment in research and *** doing so,they can balance economic growth and environmental sustainability,ensuring a greener future for the BRICS

关键词： Energy imports Environmental degradation Natural resources income Renewable energy APEC countries

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National guidelines for the diagnosis and treatment of hilar cholangiocarcinoma

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World Journal of Gastroenterology 2024年第9期30卷 1018-1042页

作者： Faisal Saud Dar Zaigham Abbas Irfan Ahmed Muhammad Atique Usman Iqbal Aujla Muhammad Azeemuddin Zeba Aziz Abu Bakar Hafeez Bhatti Tariq Ali Bangash Amna Subhan Butt Osama Tariq Butt Abdul Wahab Dogar Javed Iqbal Farooqi Faisal Hanif Jahanzaib haider Siraj haider syed Mujahid Hassan Adnan Abdul Jabbar Aman nawaz Khan Muhammad Shoaib Khan Muhammad Yasir Khan Amer Latif Nasir Hassan Luck Ahmad Karim Malik Kamran Rashid Sohail Rashid Mohammad Salih Abdullah Saeed Amjad Salamat Ghias-un-Nabi Tayyab Aasim Yusuf Haseeb haider Zia Ammara Naveed Department of Hepatopancreatic Biliary Surgery&Liver Transplant Pakistan Kidney and Liver Institute&Research CentreLahore 54000Pakistan Department of Hepatogastroenterology and Liver Transplantation Dr.Ziauddin University HospitalKarachi 75600SindhPakistan University of Aberdeen Aberdeen B243FXUnited Kingdom Department of Pathology Pakistan Kidney and Liver Institute&Research CentreLahore 54000Pakistan Department of Gastroenterology&Hepatology Pakistan Kidney and Liver Institute&Research CentreLahore 54000Pakistan Department of Radiology Aga Khan UniversityKarachi 74800Pakistan Department of Oncology Hameed Latif HospitalLahore 54000Pakistan Division of Hepatopancreatic Biliary Surgery&Liver Transplantation Shifa International HospitalIslamabad 44000Pakistan Department of Hepatopancreatic Biliary Surgery&Liver Transplant Shaikh Zayed Hospital and Post Graduate Medical InstituteLahore 54000Pakistan Department of Medicine Aga Khan University HospitalKarachi 74800Pakistan Department of Liver Transplant Pir Abdul Qadir Shah Jeelani Institute of Medical SciencesGambat 66020Pakistan Department of Medicine&Gastroenterology Lifecare Hospital and Research CentrePeshawar 25000Khyber PakhtunkhwaPakistan Department of Hepatopancreatobiliary&Liver Transplant Bahria International HospitalLahore 54000Pakistan Department of Surgery Hepatopancreatobiliary&Liver TransplantDow University of Health SciencesKarachi 74800Pakistan Department of Gastroenterology Hepatology&NutritionPir Abdul Qadir Shah Jeelani Institute of Medical SciencesGambat 66020Pakistan Department of Oncology Dr.Ziauddin HospitalKarachi 74800Pakistan Department of Radiology Rehman Medical InstitutePeshawar 25000Pakistan Army Liver Transplant Unit Pak Emirates Military HospitalRawalpindi 46000Pakistan Department of Gastroenterology Sindh Institute of Urology and TransplantationKarachi 75500Pakistan Rashid Nursing Home and Cancer Clinic Rashid Nursing Home and Cancer ClinicRawalpindi 46000Pakistan Department of Gastroentero

A consensus meeting of national experts from all major national hepatobiliary centres in the country was held on May 26,2023,at the Pakistan Kidney and Liver Institute&Research Centre(PKLI&RC)after initial consultations with the *** Pakistan Society for the Study of Liver Diseases(PSSLD)and PKLI&RC jointly organised this *** effort was based on a comprehensive literature review to establish national practice guidelines for hilar cholangiocarcinoma(hCCA).The consensus was that hCCA is a complex disease and requires a multidisciplinary team approach to best manage these *** coordinated effort can minimise delays and give patients a chance for curative treatment and effective *** diagnostic and staging workup includes high-quality computed tomography,magnetic resonance imaging,and magnetic resonance *** cytology or biopsy utilizing endoscopic retrograde cholangiopancreatography is a mainstay for ***,histopathologic confirmation is not always required before *** ultrasound with fine needle aspiration of regional lymph nodes and positron emission tomography scan are valuable adjuncts for *** only curative treatment is the surgical resection of the biliary tree based on the Bismuth-Corlette *** patients with unresectable hCCA can be considered for liver *** chemotherapy should be offered to patients with a high risk of *** use of preoperative biliary drainage and the need for portal vein embolisation should be based on local multidisciplinary *** with acute cholangitis can be drained with endoscopic or percutaneous biliary *** chemotherapy with cisplatin and gemcitabine has shown improved survival in patients with irresectable and recurrent hCCA.

关键词： Hilar cholangiocarcinoma Bismuth-Corlette classification Memorial Sloan Kettering Cancer Centre Staging Preoperative biliary drainage Portal vein embolisation Surgical resection Hepatectomy

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温度对短额负蝗成虫存活率及抗氧化酶活性的影响

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环境昆虫学报 2024年

作者：李文博 nawaz haider Bashir 李新畅田睿林史树森张星陈欢欢曲靖师范学院/生物资源与食品工程学院吉林农业大学植物保护学院承德市农林科学院内蒙古师范大学生命科学与技术学院内蒙古自治区高等学校生物多样性保护与可持续利用重点实验室

为明确不同温度对短额负蝗Atractomorpha sinensis成虫存活率以及体内抗氧化酶活性的影响。在24～40℃温度范围内，将短额负蝗健康成虫分组，分别置于生化培养箱处理4 h。测定各温度处理下成虫存活率和抗氧化酶（SOD、CAT、POD）的活性... 详细信息

为明确不同温度对短额负蝗Atractomorpha sinensis成虫存活率以及体内抗氧化酶活性的影响。在24～40℃温度范围内，将短额负蝗健康成虫分组，分别置于生化培养箱处理4 h。测定各温度处理下成虫存活率和抗氧化酶（SOD、CAT、POD）的活性、总抗氧化能力（T-AOC）以及丙二醛（MDA）含量的变化。成虫存活率在24～34℃范围内均高于50%，其他温度处理成虫存活率明显降低。试验温度范围内短额负蝗体内3种抗氧化酶活性随温度升高呈先增后减趋势。32℃时雌、雄成虫的SOD、POD和CAT酶活值最高。T-AOC活性与MDA含量与抗氧化酶活性变化趋势相似，二者均在34℃时达最高。短额负蝗对不同温度的适应性存在差异，温度过高不利于其种群存活，此现象与其体内抗氧化酶活性密切相关。短额负蝗雌成虫抗氧化酶活性高于雄成虫，更能适应温度的变化。

关键词：短额负蝗温度抗氧化酶活性总抗氧化能力丙二醛环境适应性

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Experimental and computational study of annealed nickel sulfide quantum dots for catalytic and antibacterial activity

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Nano Materials Science 2024年第3期6卷 355-364页

作者： Muhammad Ikram Sawaira Moeen Ali haider Anwar Ul-Hamid Haya Alhummiany Hamoud H.Somaily Souraya Goumri-Said Mohammed Benali Kanoun Solar Cell Applications Research Lab Department of PhysicsGovernment College University LahoreLahore54000PunjabPakistan Department of Clinical Sciences Faculty of Veterinary and Animal SciencesMuhammad Nawaz ShareefUniversity of Agriculture66000MultanPunjabPakistan Core Research Facilities King Fahd University of Petroleum&MineralsDhahran31261Saudi Arabia Department of Physics Faculty of ScienceUniversity of JeddahP.O.Box 13151Jeddah21493Saudi Arabia Department of Physics Faculty of ScienceKing Khalid UniversityP.O.Box 9004AbhaSaudi Arabia Physics Department College of Science and General StudiesAlfaisal UniversityP.O.Box 50927Riyadh11533Saudi Arabia Department of Mathematics and Sciences College of Humanities and SciencesPrince Sultan UniversityP.O.Box 66833Riyadh11586Saudi Arabia

This research investigates the hydrothermal synthesis and annealing duration effects on nickel sulfide(NiS_(2) quantum dots(QDs)for catalytic decolorization of methylene blue(MB)dye and antimicrobial *** size increased with longer annealing,reducing catalytic ***–vis,XRD,TEM,and FTIR analyses probed optical structural,morphological,and vibrational *** confirmed NiS2's anorthic structure,with crystallite size growing from 6.53 to 7.81 nm during extended ***–Vis exhibited a bathochromic shift,reflecting reduced band gap energy(Eg)in NiS_(2).TEM revealed NiS_(2)QD formation,with agglomerated QD average size increasing from 7.13 to 9.65 nm with prolonged *** NiS_(2) showed significant MB decolorization(89.85%)in acidic *** NiS_(2) QDs demonstrated notable antibacterial activity,yielding a 6.15mm inhibition zone against Escherichia coli(***)compared to ***-principles computation supported a robust interaction between MB and NiS_(2),evidenced by obtained adsorption *** study highlights the nuanced relationship between annealing duration,structural changes,and functional properties in NiS_(2)QDs,emphasizing their potential applications in catalysis and antibacterial interventions.

关键词： NiS_(2) antibacterial quantum dots dye degradation DFT

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Modified Anam-Net Based Lightweight Deep Learning Model for Retinal Vessel Segmentation

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Computers, Materials & Continua 2022年第10期73卷 1501-1526页

作者： syed Irtaza haider Khursheed Aurangzeb Musaed Alhussein College of Computer and Information Sciences King Saud UniversityRiyadh11543Saudi Arabia Department of Computer Engineering College of Computer and Information SciencesKing Saud UniversityRiyadh11543Saudi Arabia

The accurate segmentation of retinal vessels is a challenging taskdue to the presence of various pathologies as well as the low-contrast ofthin vessels and non-uniform illumination. In recent years, encoder-decodernetworks have achieved outstanding performance in retinal vessel segmentation at the cost of high computational complexity. To address the aforementioned challenges and to reduce the computational complexity, we proposea lightweight convolutional neural network (CNN)-based encoder-decoderdeep learning model for accurate retinal vessels segmentation. The proposeddeep learning model consists of encoder-decoder architecture along withbottleneck layers that consist of depth-wise squeezing, followed by fullconvolution, and finally depth-wise stretching. The inspiration for the proposed model is taken from the recently developed Anam-Net model, whichwas tested on CT images for COVID-19 identification. For our lightweightmodel, we used a stack of two 3 × 3 convolution layers (without spatialpooling in between) instead of a single 3 × 3 convolution layer as proposedin Anam-Net to increase the receptive field and to reduce the trainableparameters. The proposed method includes fewer filters in all convolutionallayers than the original Anam-Net and does not have an increasing numberof filters for decreasing resolution. These modifications do not compromiseon the segmentation accuracy, but they do make the architecture significantlylighter in terms of the number of trainable parameters and computation *** proposed architecture has comparatively fewer parameters (1.01M) thanAnam-Net (4.47M), U-Net (31.05M), SegNet (29.50M), and most of the otherrecent works. The proposed model does not require any problem-specificpre- or post-processing, nor does it rely on handcrafted features. In addition,the attribute of being efficient in terms of segmentation accuracy as well aslightweight makes the proposed method a suitable candidate to be used in thescreening platforms at

关键词： Anam-Net convolutional neural network cross-database training data augmentation deep learning fundus images retinal vessel segmentation semantic segmentation

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