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Growth performance,fatty acid profile,gut,and muscle histo-morphology of Malaysian mahseer,Tor tambroides post larvae fed short-term host associated probiotics

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Aquaculture and Fisheries 2024年第1期9卷 35-45页

作者： Mohammod Kamruzzaman Hossain Sairatul Dahlianis Ishak Shumpei Iehata Mat Noordin Noordiyana Md abdul Kader Ambok Bolong Abol-Munafi Department of Fisheries(DoF) Matshya BhabonRamnaDhaka1000Bangladesh Higher Institution Centre of Excellence(HICoE) Institute of Tropical Aquaculture and Fisheries(AKUATROP)Universiti Malaysia TerengganuKuala Nerus21030Malaysia Faculty of Fisheries and Food Sciences Universiti Malaysia TerengganuKuala Nerus21030Malaysia Alternative Aquatech Victoria3029Australia

Host associated probiotics(HAPs)provide health benefits to the host when administered as dietary ***,a short-term probiotics application strategy has yet to be optimized.A 90-days study was conducted to evaluate the response of Malaysian mahseer,Tor tambroides post larvae fed with basal diet enriched HAPs for 30-days,and its response following another 60-days feeding with only basal *** experimental diets(Enterococcus faecalis strain 2674(T1),Aeromonas *** A8-29(T2)and *** strain FC11682(T3))were prepared by spray-coating each HAPs on a basal diet at 1×108 CFU/g *** in growth performances,whole-body proximate and fatty acid composition,muscle morphometry,and gut morphology were *** showed that after 30 days,T3 fish produced highest *** HAP treatment groups showed better muscle distribution profile,improved fatty acid composition,and higher villus length,width and area,than control *** 90 days,the growth of T3 fish was still the *** distribution profile and villus growth were higher in HAP treatments,although only total n-6 PUFA,total MUFA,linoleic acids,and linolenic acids in HAP treated fish remained high after probiotics *** difference in whole-body proximate composition was observed in both 30 and 90 *** findings demonstrated that short-term application of HAPs at an early stage could be used to boost *** growth,with *** strain FC11682 showing the best efficacy.

关键词： Enhance culture Enterococcus faecalis Aeromonas sp. Muscle hypertrophy Short-term feeding Tor tambroides

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Baseline Isolated Printed Text Image Database for Pashto Script Recognition

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Intelligent Automation & Soft Computing 2023年第7期37卷 875-885页

作者： Arfa Siddiqu abdul Basit waheed Noor Muhammad Asfandyar khan M.Saeed H.Kakar Azam khan Department of Computer Science&Information Technology University of BalochistanQuetta87300Pakistan

The optical character recognition for the right to left and cursive languages such as Arabic is challenging and received little attention from researchers in the past compared to the other Latin ***,the absence of a standard publicly available dataset for several low-resource lan-guages,including the Pashto language remained a hurdle in the advancement of language *** that,a clean dataset is the fundamental and core requirement of character recognition,this research begins with dataset generation and aims at a system capable of complete language *** in view the complete and full autonomous recognition of the cursive Pashto *** first achievement of this research is a clean and standard dataset for the isolated characters of the Pashto *** this paper,a database of isolated Pashto characters for forty four alphabets using various font styles has been *** order to overcome the font style shortage,the graphical software Inkscape has been used to generate sufficient image data samples for each *** dataset has been pre-processed and reduced in dimensions to 32×32 pixels,and further converted into the binary format with a black background and white text so that it resembles the Modified National Institute of Standards and Technology(MNIST)*** benchmark database is publicly available for further research on the standard GitHub and Kaggle database servers both in pixel and Comma Separated Values(CSV)formats.

关键词： Text-image database optical character recognition(OCR) pashto isolated characters visual recognition autonomous language understanding deep learning convolutional neural network(CNN)

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Assessment of Toxoplasma gondii Contamination in Cat Feces

IJLAI Transactions on Science and Engineering

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IJLAI Transactions on Science and Engineering 2024年第2期2卷 21-28页

作者： Kausar khan Muhammad Ibrar Department of Zoology Abdul Wali Khan UniversityMardanPakistan 2 Software CollegeShenyang Normal UniversityShenyangChina

A study in district Buner,Khyber Pakhtunkhwa,aimed to determine the prevalence of Toxoplasma gondii in cat feces.243 fecal samples were collected and examined for intestinal parasites at abdul Wali khan University *** these,58 samples(23.86%)were positive for *** *** were collected over five months from November 2016 to March 2017,with varying prevalence rates:20% in November,25.7% in December,22.5% in January,25.9% in February,and 21.9% in *** was the first study of its kind conducted in district Buner.

关键词： Toxoplasma gondii Cat feces Prevalence Intestinal parasites Oocysts

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Radiation properties of the accretion disk around a black hole in Einstein-Maxwell-scalar theory

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Chinese Physics C 2024年第2期48卷 162-170页

作者： Mirzabek Alloqulov Sanjar Shaymatov Bobomurat Ahmedov abdul Jawad New Uzbekistan University Movarounnahr street 1Tashkent 100000Uzbekistan Institute of Fundamental and Applied Research National Research University TIIAMEKori Niyoziy 39Tashkent 100000Uzbekistan University of Tashkent for Applied Sciences Str.Gavhar 1Tashkent 100149Uzbekistan Institute for Theoretical Physics and Cosmology Zhejiang University of TechnologyHangzhou 310023China Central Asian University Milliy Bog Street 264Tashkent 111221Uzbekistan National University of Uzbekistan Tashkent 100174Uzbekistan Power Engineering Faculty Tashkent State Technical UniversityTashkent 100095Uzbekistan Ulugh Beg Astronomical Institute Astronomy St 33Tashkent 100052Uzbekistan Institute of Theoretical Physics National University of UzbekistanTashkent 100174Uzbekistan Department of Mathematics COMSATS University IslamabadLahore CampusLahore-54000Pakistan

In this study,we explore the properties of a non-rotating black hole in the Einstein-Maxwell-scalar(EMS)theory and investigate the luminosity of the accretion disk surrounding *** determine all the orbital parameters of particles in the accretion disk,including the radius of the innermost stable circular orbit(ISCO)with angular velocity,angular momentum,and ***,we study the radiative efficiency for different values of black hole ***,we analyze the flux,differential luminosity,and temperature of the accretion disk.

关键词： Einstein-Maxwell-scalar theory black hole accretion disk

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Game Theory Based Decision Coordination Strategy of Agricultural Logistics Service Information System

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Computers, Materials & Continua 2022年第10期73卷 513-532页

作者： Long Guo Dongsheng Sun abdul waheed Huijie Gao Institute of Agricultural Economics and Development CAASBeijing100081China School of Business and Economics University of Management and TechnologyLahore54660Pakistan Beijing Information Science and Technology University Beijing100192China

Under the background of“Internet plus”rapid development,the agricultural logistics industry should apply information technology to every link of the agricultural product logistics industry *** making full use of the decision making module of the agricultural logistics information system,we can realize the full sharing of information and data resources,which makes the decision-making scheme of the agricultural logistics information system more *** real economic society,the uncertainty and mismatch between the customer’s logistics service demand and the logistics service capability that the logistics service function provider can provide,that is,when the two information are asymmetric,how to use the third-party contract to coordinate the income and profit distribution of the two,to make the information system decision making more reasonable?This paper mainly studies the coordination scheme of agricultural logistics information system decision making under uncertain output and demand information by introducing the spot market.A joint coordination strategy based on revenue sharing and penalty feedback contracts proposes decentralized decision making based on game *** show that the flexible ordering strategy proposed in this paper can reduce the logistics service supply chain’s uncertainty and significantly improve the logistics service supply chain’s overall income level through coordination contracts.

关键词： Game theory decision coordination strategy agricultural logistics information system logistics service supply chain(LSSC)

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An Enhanced Hybrid Model Based on CNN and BiLSTM for Identifying Individuals via Handwriting Analysis

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Computer Modeling in Engineering & Sciences 2024年第8期140卷 1689-1710页

作者： Md.Abdur Rahim Fahmid Al Farid Abu Saleh Musa Miah Arpa Kar Puza Md.Nur Alam Md.Najmul Hossain Sarina Mansor Hezerul abdul Karim Department of Computer Science and Engineering Pabna University of Science and TechnologyPabna6600Bangladesh Faculty of Engineering Multimedia UniversityCyberjaya63100Malaysia Department of Computer Science and Engineering Bangladesh Army University of Science and TechnologySaidpur5311Bangladesh Department of Mathematics Pabna University of Science and TechnologyPabna6600Bangladesh Department of Electrical Electronic and Communication EngineeringPabnaUniversity of Science and TechnologyPabna6600Bangladesh Department of Electrical and Communication Engineering Pabna University of Science and TechnologyPabna6600Bangladesh

Handwriting is a unique and significant human feature that distinguishes them from one *** are many researchers have endeavored to develop writing recognition systems utilizing specific signatures or symbols for person identification through ***,such systems are susceptible to forgery,posing security *** response to these challenges,we propose an innovative hybrid technique for individual identification based on independent handwriting,eliminating the reliance on specific signatures or *** response to these challenges,we propose an innovative hybrid technique for individual identification based on independent handwriting,eliminating the reliance on specific signatures or *** innovative method is intricately designed,encompassing five distinct phases:data collection,preprocessing,feature extraction,significant feature selection,and *** key advancement lies in the creation of a novel dataset specifically tailored for Bengali handwriting(BHW),setting the foundation for our comprehensive ***-preprocessing,we embarked on an exhaustive feature extraction process,encompassing integration with kinematic,statistical,spatial,and composite *** meticulous amalgamation resulted in a robust set of 91 *** enhance the efficiency of our system,we employed an analysis of variance(ANOVA)F test and mutual information scores approach,meticulously selecting the most pertinent *** the identification phase,we harnessed the power of cutting-edge deep learning models,notably the Convolutional Neural Network(CNN)and Bidirectional Long Short-Term Memory(BiLSTM).These models underwent rigorous training and testing to accurately discern individuals based on their handwriting ***,our methodology introduces a groundbreaking hybrid model that synergizes CNN and BiLSTM,capitalizing on fine motor features for enhanced individual ***,our experimental results unde

关键词： Bengali handwriting(BHW) person identification convolutional neural network(CNN) BiLSTM

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Development of a Lightweight Model for Handwritten Dataset Recognition: Bangladeshi City Names in Bangla Script

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Computers, Materials & Continua 2024年第8期80卷 2633-2656页

作者： MdMahbubur Rahman Tusher Fahmid Al Farid MdAl-Hasan Abu Saleh Musa Miah Susmita Roy Rinky Mehedi Hasan Jim Sarina Mansor MdAbdur Rahim Hezerul abdul Karim Department of Computer Science and Engineering Bangladesh Army University of Science and Technology(BAUST)Saidpur5310Bangladesh Faculty of Engineering Multimedia UniversityCyberjaya63100Malaysia Pabna University of Science and Technology Pabna6600Bangladesh

The context of recognizing handwritten city names,this research addresses the challenges posed by the manual inscription of Bangladeshi city names in the Bangla *** today’s technology-driven era,where precise tools for reading handwritten text are essential,this study focuses on leveraging deep learning to understand the intricacies of Bangla *** existing dearth of dedicated datasets has impeded the progress of Bangla handwritten city name recognition systems,particularly in critical areas such as postal automation and document ***,no prior research has specifically targeted the unique needs of Bangla handwritten city name *** bridge this gap,the study collects real-world images from diverse sources to construct a comprehensive dataset for Bangla Hand Written City name *** emphasis on practical data for system training enhances *** research further conducts a comparative analysis,pitting state-of-the-art(SOTA)deep learning models,including EfficientNetB0,VGG16,ResNet50,DenseNet201,InceptionV3,and Xception,against a custom Convolutional Neural Networks(CNN)model named“Our CNN.”The results showcase the superior performance of“Our CNN,”with a test accuracy of 99.97% and an outstanding F1 score of 99.95%.These metrics underscore its potential for automating city name recognition,particularly in postal *** study concludes by highlighting the significance of meticulous dataset curation and the promising outlook for custom CNN *** encourages future research avenues,including dataset expansion,algorithm refinement,exploration of recurrent neural networks and attention mechanisms,real-world deployment of models,and extension to other regional languages and *** recommendations offer exciting possibilities for advancing the field of handwritten recognition technology and hold practical implications for enhancing global postal services.

关键词： Handwritten recognition Bangladeshi city names Bangla handwritten city name automated postal services

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Rates, predictors, and causes of readmission after transcatheter aortic valve replacement in patients with chronic kidney disease

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World Journal of Cardiology 2024年第7期16卷 402-411页

作者： Taha Teaima Gianfranco Bittar Carlini Rohan A Gajjar Imran Aziz Sami J Shoura abdul-Rahim Shilbayeh Naim Battikh Tareq Alyousef Division of Cardiology Department of MedicineJohn H.StrogerJr.Hospital of Cook CountyChicagoIL 60612United States

BACKGROUND Transcatheter aortic valve replacement(TAVR)is a revolutionary procedure for severe aortic *** coexistence of chronic kidney disease(CKD)and TAVR introduces a challenge that significantly impacts patient *** To define readmission rates,predictors,and causes after TAVR procedure in CKD stage 1-4 *** We used the national readmission database 2018 and 2020 to look into readmission rates,causes and predictors after TAVR procedure in patients with CKD stage *** Out of 24758 who underwent TAVR and had CKD,7892(32.4%)patients were readmitted within 90 days,and had higher adjusted odds of being females(adjusted odds ratio:1.17,95%CI:1.02-1.31,P=0.02)with longer length of hospital stay>6 days,and more comorbidities including but not limited to diabetes mellitus,anemia,and congestive heart failure(CHF).CONCLUSION Most common causes of readmission included CHF(18.0%),sepsis,and complete atrioventricular *** readmission predictors with very close followup is warranted to prevent such high rate of readmission.

关键词： Chronic kidney disease Transcatheter aortic valve replacement Readmission Predictors Rates

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Pros and cons of live kidney donation in prediabetics: A critical review and way forward

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World Journal of Transplantation 2024年第1期14卷 12-31页

作者： Muhammad abdul Mabood Khalil Nihal Mohammed Sadagah Jackson Tan Furrukh Omair Syed Vui Heng Chong Salem H Al-Qurashi Center of Renal Diseases and Transplantation King Fahad Armed Forces Hospital JeddahJeddah 23311Saudi Arabia Department of Nephrology RIPAS Hospital Brunei DarussalamBrunei Muara BA1710Brunei Darussalam Division of Gastroenterology and Hepatology Department of MedicineRaja Isteri Pengiran Anak Saleha HospitalBandar Seri Begawan BA1710Brunei Darussalam

There is shortage of organs,including kidneys,*** with deceased kidney transplantation,there is a significant rise in live kidney *** prevalence of prediabetes(PD),including impaired fasting glucose and impaired glucose tolerance,is on the rise across the *** teams frequently come across prediabetic kidney donors for *** are at risk of diabetes,chronic kidney disease,cardiovascular events,stroke,neuropathy,retinopathy,dementia,depression and nonalcoholic liver disease along with increased risk of all-cause ***,most of the studies done in prediabetic kidney donors are retrospective in nature and have a short follow up *** is lack of prospective long-term studies to know about the real risk of complications after ***,there are variations in recommendations from various guidelines across the globe for donations in prediabetics,leading to more confusion among *** increases the responsibility of transplant teams to take appropriate decisions in the best interest of both donors and *** review focuses on pathophysiological changes of PD in kidneys,potential complications of PD,other risk factors for development of type 2 diabetes,a review of guidelines for kidney donation,the potential role of diabetes risk score and calculator in kidney donors and the way forward for the evaluation and selection of prediabetic kidney donors.

关键词： Live kidney donation Prediabetes Impaired fasting glucose Impaired glucose tolerance Review

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New Approaches to the Prognosis and Diagnosis of Breast Cancer Using Fuzzy Expert Systems

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Journal of Computer and Communications 2024年第5期12卷 151-169页

作者： Elias Ayinbila Apasiya abdul-Mumin Salifu Peter Awon-Natemi Agbedemnab Department of Computer Science School of Computing and Information Sciences C. K. Tedam University of Technology and Applied Sciences Navrongo Ghana

Breast cancer remains a significant global health challenge, necessitating effective early detection and prognosis to enhance patient outcomes. Current diagnostic methods, including mammography and MRI, suffer from limitations such as uncertainty and imprecise data, leading to late-stage diagnoses. To address this, various expert systems have been developed, but many rely on type-1 fuzzy logic and lack mobile-based applications for data collection and feedback to healthcare practitioners. This research investigates the development of an Enhanced Mobile-based Fuzzy Expert system (EMFES) for breast cancer pre-growth prognosis. The study explores the use of type-2 fuzzy logic to enhance accuracy and model uncertainty effectively. Additionally, it evaluates the advantages of employing the python programming language over java for implementation and considers specific risk factors for data collection. The research aims to dynamically generate fuzzy rules, adapting to evolving breast cancer research and patient data. Key research questions focus on the comparative effectiveness of type-2 fuzzy logic, the handling of uncertainty and imprecise data, the integration of mobile-based features, the choice of programming language, and the creation of dynamic fuzzy rules. Furthermore, the study examines the differences between the Mamdani Inference System and the Sugeno Fuzzy Inference method and explores challenges and opportunities in deploying the EMFES on mobile devices. The research identifies a critical gap in existing breast cancer diagnostic systems, emphasizing the need for a comprehensive, mobile-enabled, and adaptable solution by developing an EMFES that leverages Type-2 fuzzy logic, the Sugeno Inference Algorithm, Python Programming, and dynamic fuzzy rule generation. This study seeks to enhance early breast cancer detection and ultimately reduce breast cancer-related mortality.

关键词： EMFES Breast Cancer Type-2 Fl Soft Computing Membership Functions Fuzzy Set Fuzzy Rules Risk Factors.

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