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

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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Thornthwaite moisture index and depth of suction change under current and future climate‒An Australian study

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Journal of Rock Mechanics and Geotechnical Engineering 2024年第5期16卷 1761-1775页

作者： md Rajibul karim Bikash Devkota md Mizanur Rahman Hoang Bao Khoi Nguyen UniSA STEM University of South AustraliaMawson Lakes CampusMawson LakesSouth Australia5095Australia

Climate change is one of the major global challenges and it can have a significant influence on the behaviour and resilience of geotechnical *** changes in moisture content in soil lead to effective stress changes and can be accompanied by significant volume changes in reactive/expansive *** volume change leads to ground movement and can exert additional stresses on structures founded on or within a shallow depth of such *** change is likely to amplify the ground movement potential and the associated problems are likely to *** effect of atmospheric boundary interaction on soil behaviour has often been correlated to Thornthwaite moisture index(TMI).In this study,the long-term weather data and anticipated future projections for various emission scenarios were used to generate a series of TMI maps for *** changes in TMI were then correlated to the depth of suction change(H s),an important input in ground movement *** all climate scenarios considered,reductions in TMI and increases in H s values were observed.A hypothetical design scenario of a footing on expansive soil under current and future climate is *** is observed that a design that might be considered adequate under the current climate scenario,may fail under future scenarios and accommodations should be made in the design for such events.

关键词： Climate change Future prediction Thornthwaite moisture index(TMI) Characteristic surface movement Infrastructure resilience

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Multi-species probiotics enhance survival,growth,intestinal microbiota and disease resistance of rohu(Labeo rohita)larvae

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Water Biology and Security 2024年第1期3卷 71-79页

作者： Zannatul Ferdous md Kabir Hossain md Hadiuzzaman SMRafiquzzaman KM abdul Halim Tanvir Rahman md Ali Reza Faruk Zulhisyam abdul Kari md Shahjahan Laboratory of Fish Ecophysiology Department of Fisheries ManagementBangladesh Agricultural UniversityMymensingh2202Bangladesh Department of Aquaculture Bangladesh Agricultural UniversityMymensingh2202Bangladesh Department of Fisheries Matshoy BhabanDhakaBangladesh Department of Fisheries Biology&Aquatic Environment Bangabandhu Sheikh Mujibur Rahman Agricultural UniversityGazipur1706Bangladesh Department of Agricultural Sciences Faculty of Agro-Based IndustryUniversiti Malaysia KelantanJeli Campus17600JeliKelantanMalaysia

Multi-strain probiotics provide the most dependable approaches to improve health,immune response,and disease resistance in farmed *** the present study,we examined the effects of multi-species probiotics on the survival,growth,immune response,and disease resistance of rohu(Labeo rohita)*** hatched larvae from the day of first feeding(average weight of 0.003 g)were reared with multi-species probiotics having a combination of Bacillus subtilis(109 colony forming units(cfu)/mL)and Lactobacillus spp.(Lactobacillus plantarum,Lactobacillus buchneri-1011 cfu/mL)in water containing doses of 0(control-C),0.5 mL/L(treatment 1-T1),and 1.0 mL/L(treatment 2-T2)in triplicates for 90 *** the experiment,a challenge test was performed to assess the fish's resistance to pathogenic Aeromonas *** higher survival was recorded in larvae of treated groups(87%in T2 and 79%in T1)compared to the control(62%).Significantly higher growth performance(weight gain and specific growth rate—SGR)was shown by the probiotic-treated larval groups compared to the *** supplementation resulted in significantly higher counts of total viable colony(TVC)and lactic acid bacteria(LAB)in the *** immunological parameters(mucosal fold fattening,goblet cell abundance,expansion of lamina propria and enterocytes)of the gut were significantly better in probiotic-treated *** liver of treated fish showed irregular shape nuclei turning into regular shape and reducing spaces between the hepatic ***-treated fish had the highest post-challenge survival rate(90%)against *** *** erythrocytes of challenged fish treated with probiotics had significantly lower frequencies of various nuclear and cellular *** findings suggest that multi-species probiotic supplements could improve the survival,growth,health status,and immune response of rohu in the early stages of its development.

关键词： Aquaculture Disease resistance Immunity Labeo rohita Probiotics

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Tuberculosis-diabetes comorbidities: Mechanistic insights for clinical considerations and treatment challenges

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World Journal of Diabetes 2024年第5期15卷 853-866页

作者： md abdul Alim Al-Bari Nicholas Peake Nabil Eid Department of Pharmacy University of RajshahiRajshahi 6205Bangladesh Biosciences and Chemistry and Biomolecular Research Centre Sheffield Hallam UniversitySheffield S11WBUnited Kingdom Department of Anatomy Division of Human BiologySchool of MedicineInternational Medical UniversityKuala Lumpur 57000Malaysia

Tuberculosis(TB)remains a leading cause of death among infectious diseases,particularly in poor *** infections,multidrug-resistant and ex-tensively drug-resistant TB strains,as well as the coexistence of chronic illnesses such as diabetes mellitus(DM)greatly aggravate TB morbidity and ***[particularly type 2 DM(T2DM)]and TB have converged making their control even more *** contemporary global epidemics,TB-DM behaves like a syndemic,a synergistic confluence of two highly prevalent diseases.T2DM is a risk factor for developing more severe forms of multi-drug resistant-TB and TB recurrence after preventive *** a bidirectional relationship exists between TB and DM,it is necessary to concurrently treat both,and promote recommendations for the joint management of both *** are also some drug-drug interactions resulting in adverse treatment outcomes in TB-DM patients including treatment failure,and *** addition,autophagy may play a role in these ***,the TB-DM comorbidities present several health challenges,requiring a focus on multidisciplinary collaboration and integrated strategies,to effectively deal with this double *** effectively manage the comorbidity,further screening in affected countries,more suitable drugs,and better treatment strategies are required.

关键词： Diabetes mellitus Tuberculosis Coinfections Comorbidity Drug-drug interactions Autophagy Treatment challenges

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Graphene oxide-coated microbottle resonators for relative humidity sensing

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Optoelectronics Letters 2024年第7期20卷 400-405页

作者： Huda Adnan Zain Malathy Batumalay md Ashadi md Johari Hazli Rafis abdul Rahim Sulaiman Wadi Harun Department of Electrical Engineering Faculty of Engineering University of Malaya Faculty of Data Science and Information Technology INTI International University Faculty of Electrical and Electronic Engineering Technology Universiti Teknikal Malaysia Melaka Faculty of Electronic and Computer Engineering Universiti Teknikal Malaysia Melaka

Graphene oxide(GO) is a 2D coating material used to improve fiber optics sensors' response to relative humidity. Microbottle resonators(MBRs) have garnered more attention as sensing media structures. An MBR with a 190 μm diameter was coated with GO. Then, tapered fiber light coupling was used to investigate the relative humidity sensing performance in the range of 35—70%RH at 25 °C. The MBR showed a higher Q factor before and after GO coating. The sensitivity of 0.115 d B/%RH was recorded with the 190 μm GO-coated MBR sample compared to a sensitivity of 0.022 d B/%RH for the uncoated MBR sample. These results show that the MBR can be used in fiber optic sensing applications for environmental sensing.

关键词： A

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Baerveldt glaucoma implant with Supramid© ripcord stent in neovascular glaucoma: a case series

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International Journal of Ophthalmology(English edition) 2024年第2期17卷 265-271页

作者： Yuen Keat Gan Shiivaa Manjare Birapadian Muhammad Irfan abdul Jalal Norshamsiah md Din Department of Ophthalmology Faculty of MedicineUniversiti Kebangsaan MalaysiaKuala Lumpur 56000Malaysia UKM Molecular Biology Institute Universiti Kebangsaan MalaysiaKuala Lumpur 56000Malaysia Hospital Canselor Tuanku Muhriz Jalan Yaacob LatifBandar Tun RazakKuala Lumpur 56000Malaysia

AIM:To report the outcome of Baerveldt glaucoma implant(BGI)with Supramid©ripcord use in neovascular glaucoma(NVG).METHODS:We retrospectively evaluated the surgical outcome of the BGI with Supramid©3/0 ripcord stent in patients with *** tube ligation or venting slits were *** was removed after 3mo if the target intraocular pressure(IOP)was not *** success was defined as IOP≤21 mm Hg with(qualified success)or without IOP-lowering medications(complete success).RESULTS:Twenty-six eyes from 24 patients were included in the *** median duration of follow-up was 4[interquartile range(IQR)=1-5]y,ranging from 0.5 to *** decreased by a mean of 24.2 mm Hg(59.7%);from a mean of 40.5±12.6 mm Hg at baseline to 16.3±11.9 mm Hg,P≤*** number of glaucoma medications reduced from a median of 5(IQR=5-6)to 1(IQR=0-2,P≤0.001)at the final *** success rates were 88.0%at 1y,34.8%at 3y,66.7%at 4y,and 50%at *** phase(HP)in the first 3mo occurred in 15/26 eyes(57.7%)with a mean IOP of 31.1 mm ***:BGI with Supramid©ripcord stent gives close to 90%of the overall survival rate at the final follow-up without significant early ***,early HP is still a challenge.

关键词： neovascular glaucoma Supramid ripcord stent Baerveldt glaucoma implant

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Comprehensive Review:Diagnosis,Classification,and Risk Factors of Peritoneal Dialysis-Associated Peritonitis

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Journal of Clinical and Nursing Research 2024年第7期8卷 1-9页

作者： Lingling Guo Sairah abdul karim Post Graduate Centre Management&Science University40100 Shah AlamSelangorMalaysia School of Nursing Jiangsu Medical College224005 YanchengJiangsu ProvinceChina Faculty of Health and Life Sciences Management&Science University40100 Shah AlamSelangorMalaysia

Peritoneal dialysis(PD)is a predominant modality of renal replacement therapy(RRT)for individuals suffering from end-stage renal disease(ESRD).Peritoneal dialysis-associated peritonitis(PDAP)represents a frequent complication among patients undergoing PD,significantly contributing to adverse clinical *** review comprehensively examines the diagnosis,classification,and risk factors associated with PDAP,aiming to offer clinical practitioners essential guidance and a foundational framework for effective clinical management.

关键词： Research progress Risk factors Peritoneal dialysis-associated peritonitis

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Identifying Malaria Hotspots Regions in Ghana Using Bayesian Spatial and Spatiotemporal Models

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Infectious Diseases & Immunity 2024年第2期4卷 69-78页

作者： abdul-karim Iddrisu Dominic Otoo Gordon Hinneh Yakubu Dekongmene Kanyiri Kanimam Yaaba Samuel Cecilia Kubio Francis Balungnaa Dhari Veriegh Department of Mathematics and Statistics University of Energy and Natural ResourcesSunyani 233Ghana Department of Statistical Service Ghana Statistical ServiceBono RegionSunyani 233Ghana Department of Mathematics and ICT Gambaga College of EducationSunyani 233Ghana Human Resources Division University of Energy and Natural ResourcesSunyani 233Ghana Department of Biological Science University of Energy and Natural ResourcesSunyani 233Ghana.

Background:Malaria remains a significant public health concern in Ghana,with varying risk levels across different geographical *** affects millions of people each year and imposes a substantial burden on the health care system and *** risk estimation and mapping are crucial for effectively allocating resources and implementing targeted interventions to identify regions with disease *** study aimed to identify regions exhibiting elevated malaria risk so that public health interventions can be implemented,and to identify malaria risk predictors that can be controlled as part of public health interventions for malaria ***:The data on laboratory-confirmed malaria cases from 2015 to 2021 were obtained from the Ghana Health Service and Ghana Statistical *** studied the spatial and spatiotemporal patterns of the relative risk of malaria using Bayesian spatial and spatiotemporal *** malaria risk for each region was mapped to visually identify regions with malaria *** and heterogeneity of disease risks were established using correlated and uncorrelated structures via the conditional autoregressive and Gaussian models,*** estimates from the marginal posterior distribution were estimated within the Integrated Nested Laplace Approximation using the R ***:The spatial model indicated an increased risk of malaria in the North East,Bono East,Ahafo,Central,Upper West,Brong Ahafo,Ashanti,and Eastern *** spatiotemporal model results highlighted an elevated malaria risk in the North East,Upper West,Upper East,Savannah,Bono East,Central,Bono,and Ahafo *** spatial and spatiotemporal models identified the North East,Upper West,Bono East,Central,and Ahafo Regions as hotspots for malaria *** variations in risk were evident across regions(H=104.9,P<0.001).Although climatic and economic factors influenced malaria infection,statistical significance was not

关键词： Malaria Disease hotspot Bayesian modeling Conditional auto-regressive Integrated Nested Laplace Approximation Spatial and spatiotemporal models

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Gradient Optimizer Algorithm with Hybrid Deep Learning Based Failure Detection and Classification in the Industrial Environment

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Computer Modeling in Engineering & Sciences 2024年第2期138卷 1341-1364页

作者： Mohamed Zarouan Ibrahim M.Mehedi Shaikh abdul Latif md.Masud Rana Department of Electrical and Computer Engineering(ECE) King Abdulaziz UniversityJeddah21589Saudi Arabia Center of Excellence in Intelligent Engineering Systems(CEIES) King Abdulaziz UniversityJeddah21589Saudi Arabia Department of Nuclear Engineering King Abdulaziz UniversityJeddah21589Saudi Arabia Department of Electrical and Electronic Engineering Rajshahi University of Engineering and TechnologyRajshahiBangladesh

Failure detection is an essential task in industrial systems for preventing costly downtime and ensuring the seamlessoperation of the system. Current industrial processes are getting smarter with the emergence of Industry ***, various modernized industrial processes have been equipped with quite a few sensors to collectprocess-based data to find faults arising or prevailing in processes along with monitoring the status of *** diagnosis of rotating machines serves a main role in the engineering field and industrial production. Dueto the disadvantages of existing fault, diagnosis approaches, which greatly depend on professional experienceand human knowledge, intellectual fault diagnosis based on deep learning (DL) has attracted the researcher’sinterest. DL reaches the desired fault classification and automatic feature learning. Therefore, this article designs a Gradient Optimizer Algorithm with Hybrid Deep Learning-based Failure Detection and Classification (GOAHDLFDC)in the industrial environment. The presented GOAHDL-FDC technique initially applies continuous wavelettransform (CWT) for preprocessing the actual vibrational signals of the rotating machinery. Next, the residualnetwork (ResNet18) model was exploited for the extraction of features from the vibration signals which are thenfed into theHDLmodel for automated fault detection. Finally, theGOA-based hyperparameter tuning is performedtoadjust the parameter valuesof theHDLmodel *** experimental result analysis of the GOAHDL-FD Calgorithm takes place using a series of simulations and the experimentation outcomes highlight the better resultsof the GOAHDL-FDC technique under different aspects.

关键词： Fault detection Industry 4.0 gradient optimizer algorithm deep learning rotating machineries artificial intelligence

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Zoonotic human liver flukes, a type 1 biocarcinogen, in freshwater fishes: genetic analysis and confirmation of molluscan vectors and reservoir hosts in Bangladesh

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贫困所致传染病(英文) 2024年第3期13卷 1-16页

作者： Labony Sharmin Shahid Alim md. abdul Hasan Muhammad Mehedi Hossain md. Shahadat Akter Sharmin Paul Joydeep Farjana Thahsin Ali md. Haydar Alam Mohammad Zahangir Hatta Takeshi Kawada Hayato Mizutani Keiko Tsuji Naotoshi Anisuzzaman Department of Parasitology Faculty of Veterinary Science Bangladesh Agricultural University Mymensingh Bangladesh Department of Fisheries Technology Faculty of Fisheries Bangladesh Agricultural University Mymensingh Bangladesh Department of Biotechnology School of Life Sciences &amp Biotechnology Adamas University Barasat - Barrackpore Rd Jagannathpur Kolkata West Bengal India Department of Pathology and Parasitology Hajee Mohammad Danesh Science and Technology University Dinajpur Bangladesh Department of Parasitology and Tropical Medicine Kitasato University School of Medicine-15-Kitasato Minami Sagamihara Kanagawa-0374 Japan Department of Molecular and Cellular Parasitology Kitasato University Graduate School of Medical Sciences-15-Kitasato Minami Sagamihara Kanagawa-0373 Japan

Background Opisthorchiid flukes, particularlyOpisthorchis viverrini,Opisthorchis felineus,Clonorchis sinensis, andMetorchis spp. are the most common fish-borne zoonotic human liver flukes (hLFs). Liver fluke infections are more prevalent in resource-deprived and underprivileged areas. We herein estimated the prevalence of the metacercariae (MC) of major hLFs in common large freshwater fishes (lFWF) marketed for human consumption from some selected areas of Bangladesh along with detection of their molluscan vectors and *** The current status of fish-borne zoonotic hLF infections in lFWF was investigated along with their molluscan vectors and mammalian reservoir hosts in Mymensingh and Kishoreganj in Bangladesh from July 2018–June 2022 using conventional and multiple molecular techniques, such as PCR, PCR-restriction fragment length polymorphism (RFLP), sequencing, and bioinformatic analyses. The infection rate of fishes was analyzed using theZ-test and the loads of MC were compared using the chi-squared (χ2) *** The MC ofC. sinensis,Opisthorchis spp., andMetorchis spp. were detected in 11 species of common and popular lFWF. In lFWF, the estimated prevalence was 18.7% and the mean load was 137.4 ± 149.8 MC per 100 g of fish. The prevalence was the highest (P 0.05) distributed between the head and body of fishes. The infection rate was slightly higher in cultured (19.6%) fishes. The MC ofC. sinensis,O. felineus,O. viverrini, andMetorchis orientalis in fishes were confirmed using PCR, PCR-RFLP and bioinformatics. The cercariae of opisthorchiid (Pleurolophocercus cercariae) flukes were only recovered fromBithynia spp. (3.9%, 42 out of 1089). The ova of hLFs from dogs (4.3%, 5 out of 116) and cats (6.0%, 6 out of 100), and adult flukes (***) from ducks

关键词： Human liver fluke Freshwater fish Molluscan vector Reservoir host Bangladesh

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