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Review of coastal land transformation:Factors,impacts,adaptation strategies,and future scopes

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Geography and Sustainability 2024年第2期5卷 167-178页

作者： md.abubakkor Siddik abu reza md.Towfiqul Islam Dr.Wazed Research and Training Institute Begum Rokeya UniversityRangpur 5404Bangladesh Department of Emergency Management Patuakhali Science and Technology UniversityPatuakhali-8602Bangladesh Department of Disaster Management Begum Rokeya UniversityRangpur 5404Bangladesh Department of Development Studies Daffodil International UniversityDhaka 1216Bangladesh

Coastal land transformation has been identified as a topic of research in many countries around the *** studies have been conducted to determine the causes and impacts of land ***,much less is understood about coupling change detection,factors,impacts,and adaptation strategies for coastal land transformation at a global *** review aims to present a systematic review of global coastal land transformation and its leading research *** 1,741 documents of Scopus and Web of Science,60 studies have been selected using the PRISMA-2020 *** revealed that existing literature included four leading focus areas regarding coastal land transformation:change detection,driving factors,impacts,and adaptation *** focus areas were further analyzed,and it was found that more than 80%of studies used Landsat imagery to detect land *** growth and urbanization were among the major driving factors *** review further identified that about 37%of studies included impact *** studies identified impacts on ecosystems,land surface temperature,migration,water quality,and occupational effects as significant ***,only four studies included adaptation *** review explored the scope of comprehensive research in coastal land transformation,addressing change detection,factor and impact analysis,and mitigation-adaptation *** research also proposes a conceptual framework for comprehensive coastal land transformation *** framework can provide potential decision-making guidance for future studies in coastal land transformation.

关键词： Coastal land transformation Land use and land cover Landsat Population PRISMA

Japanese Sign Language Recognition by Combining Joint Skeleton-Based Handcrafted and Pixel-Based Deep Learning Features with Machine Learning Classification

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Computer Modeling in Engineering & Sciences 2024年第6期139卷 2605-2625页

作者： Jungpil Shin md.Al Mehedi Hasan abu Saleh musa Miah Kota Suzuki Koki Hirooka School of Computer Science and Engineering The University of AizuAizuwakamatsu965-8580Japan Department of Computer Science&Engineering Rajshahi University of Engineering&TechnologyRajshahi6204Bangladesh

Sign language recognition is vital for enhancing communication accessibility among the Deaf and hard-of-hearing *** Japan,approximately 360,000 individualswith hearing and speech disabilities rely on Japanese Sign Language(JSL)for ***,existing JSL recognition systems have faced significant performance limitations due to inherent *** response to these challenges,we present a novel JSL recognition system that employs a strategic fusion approach,combining joint skeleton-based handcrafted features and pixel-based deep learning *** system incorporates two distinct streams:the first stream extracts crucial handcrafted features,emphasizing the capture of hand and body movements within JSL ***,a deep learning-based transfer learning stream captures hierarchical representations of JSL gestures in the second ***,we concatenated the critical information of the first stream and the hierarchy of the second stream features to produce the multiple levels of the fusion features,aiming to create a comprehensive representation of the JSL *** reducing the dimensionality of the feature,a feature selection approach and a kernel-based support vector machine(SVM)were used for the *** assess the effectiveness of our approach,we conducted extensive experiments on our Lab JSL dataset and a publicly available Arabic sign language(ArSL)*** results unequivocally demonstrate that our fusion approach significantly enhances JSL recognition accuracy and robustness compared to individual feature sets or traditional recognition methods.

关键词： Japanese Sign Language(JSL) hand gesture recognition geometric feature distance feature angle feature GoogleNet

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

Virtual Keyboard:A Real-Time Hand Gesture Recognition-Based Character Input System Using LSTM and Mediapipe Holistic

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Computer Systems Science & Engineering 2024年第2期48卷 555-570页

作者： Bijon Mallik md Abdur Rahim abu Saleh musa Miah Keun Soo Yun Jungpil Shin Department of Computer Science and Engineering Pabna University of Science and TechnologyPabna6600Bangladesh School of Computer Science and Engineering The University of AizuAizuwakamatsuFukushima965-8580Japan School of Computer and Information Technology Ulsan CollegeDong-guUlsan44610South Korea

In the digital age,non-touch communication technologies are reshaping human-device interactions and raising security concerns.A major challenge in current technology is the misinterpretation of gestures by sensors and cameras,often caused by environmental *** issue has spurred the need for advanced data processing methods to achieve more accurate gesture recognition and *** study presents a novel virtual keyboard allowing character input via distinct hand gestures,focusing on two key aspects:hand gesture recognition and character input *** developed a novel model with LSTM and fully connected layers for enhanced sequential data processing and hand gesture *** also integrated CNN,max-pooling,and dropout layers for improved spatial feature *** model architecture processes both temporal and spatial aspects of hand gestures,using LSTM to extract complex patterns from frame sequences for a comprehensive understanding of input *** unique dataset,essential for training the model,includes 1,662 landmarks from dynamic hand gestures,33 postures,and 468 face landmarks,all captured in real-time using advanced pose *** model demonstrated high accuracy,achieving 98.52%in hand gesture recognition and over 97%in character input across different *** excellent performance in real-time testing underlines its practicality and effectiveness,marking a significant advancement in enhancing human-device interactions in the digital age.

关键词： Hand gesture recognition M.P.holistic open CV virtual keyboard LSTM human-computer interaction

Ultra-high-performance liquid chromatography-quadrupole time-of-flight-mass spectrometry-characterized extract of Aerides odorata Lour alleviates paracetamol-induced hepatotoxicity in animal model evidenced by biochemical,molecular,and computational studies

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Animal Models and Experimental Medicine 2024年第4期7卷 497-522页

作者： A.M.abu Ahmed md.Atiar Rahman Farjana Sharmen A.S.M.Ali reza md.Shahidul Islam md.Mamunur Rashid md.Khalid Juhani Rafi Tanvir Ahmed Siddiqui md.Muzahid Ahmed Ezaj Srabonti Saha md.Nazim Uddin Walla Alelwani Department of Genetic Engineering and Biotechnology University of ChittagongChittagongBangladesh Department of Biochemistry and Molecular Biology University of ChittagongChittagongBangladesh Department of Pharmacy International Islami University ChittagongChittagongBangladesh Institute of Food Science and Technology Bangladesh Council of Scientific and Industrial ResearchDhakaBangladesh Department of Biochemistry College of ScienceUniversity of JeddahJeddahSaudi Arabia

Background:Many kinds of orchids have significant health benefits although ade-quate research on their biological functions is yet to be carried *** study inves-tigated the paracetamol-induced liver damage-protecting effect of epiphytic Aerides odorata methanol extract(AODE).Methods:The protective effects of AODE were studied by analyzing its effect on liver function parameters,messenger RNA(mRNA)expression,and tissue histopatho-logical *** results were confirmed by ligand-receptor interaction of molecular docking and multitarget interaction of network pharmacological ***:AODE significantly(p<0.05)minimized the dose-dependent increase in acid phosphatase,aspartate aminotransferase,alanine aminotransferase,alkaline phos-phatase,γ-glutamyl transferase,lactate dehydrogenase,and total bilirubin compared to the reference drug *** level decreased,and the antioxidant genes catalase(CAT),superoxide dismutase(SOD),β-actin,paraoxonase-1(PON1),and phosphofructokinase-1(PFK-1)were upregulated in AODE-treated paracetamol-intoxicated rats.A total of 376 compounds comprising phenols and flavonoids were identified using ultra-high-performance liquid chromatography-quadrupole time-of-flight-mass spectrometry(UPLC-qTOF-MS).The online toxicity assessment using SwissADME and admetSAR exhibited drug-like,nontoxic,and potential pharmaco-logical ***,in silico analysis showed that isoacteoside,one of the identified compounds,exhibited the best docking score(−11.42)with the liver pro-tein human pituitary adenylate cyclase-1(Protein Data Bank ID:3N94).Furthermore,network pharmacology analysis identified the top 10 hub genes,namely AKT1(protein kinase B),CTNNB1(catenin beta-1),SRC(proto-oncogene c-Src),TNF(tumor necrosis factor),EGFR(epidermal growth factor receptor),HSP90AA1(heat shock protein 90α),MAPK3(mitogen-activated protein kinase 3),STAT3(signal transducer and activator of transcription 3),CASP3(caspase protein),

关键词： Aerides odorata animal model mRNA expression PCM-induced hepatotoxicity UPLC-qTOF-MS

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

Peat properties of a tropical forest reserve adjacent to a fire-break canal

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Journal of Forestry Research 2024年第1期35卷 155-167页

作者： Dayang Nur Sakinah musa Mohd Zahirasri Mohd Tohir Xinyan Huang Luqman Chuah Abdullah Mohamad Syazaruddin md Said Muhammad Firdaus Sulaiman Safety Engineering Interest Group(SEIG) Department of Chemical and Environmental EngineeringFaculty of EngineeringUniversiti Putra Malaysia43400 UPM SerdangSelangorMalaysia International Tropical Forestry Programme Faculty of Tropical ForestryUniversiti Malaysia SabahSabahMalaysia Department of Land Management Faculty of AgricultureUniversiti Putra MalaysiaSelangorMalaysia Research Centre for Fire Safety Engineering Department of Building Environment and Energy EngineeringThe Hong Kong Polytechnic UniversityHong KongPeople’s Republic of China

Tropical peat comprises decomposed dead plant material and acts like a sponge to absorb water,making it fully ***,drought periods dry it readily and increases its vulnerability to *** fires emit greenhouse gases and particles contributing to haze,and prevention by constructing fire-break canals to reduce fire spread into forest reserves is *** paper aims to determine peat physical and chemical properties near a fire-break canal at different fire frequency *** sampling was conducted at two forest reserves in Malaysia which represent low fire frequency and high fire frequency *** results show that peat properties were not affected by the construction of a fire-break canal,however lignin and cellulose content increased significantly from the distance of the canal in both *** study concluded that fire frequency did not significantly influence peat properties except for *** higher fibre content in the high frequency area did not influence moisture content nor the ability to regain ***,fire frequency might contribute differently to changes in physical and chemical properties,hence management efforts to construct fire-break canals and restoration efforts should protect peatlands from further *** findings will benefit future management and planning for forest reserves.

关键词： Peat fire Peat properties Fire-break canals Forest reserves

Extreme exposure of fluoride and arsenic contamination in shallow coastal aquifers of the Ganges delta,transboundary of the Indo-Bangladesh region

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Geoscience Frontiers 2024年第1期15卷 286-303页

作者： Dipankar Ruidas Subodh Chandra Pal Tanmoy Biswas Asish Saha abu reza md.Towfiqul Islam Department of Geography The University of BurdwanPurba BardhamanWest Bengal 713104India Department of Disaster Management Begum Rokeya UniversityRangpur 5400Bangladesh Department of Development Studies Daffodil International UniversityDhaka 1216Bangladesh

Globally,shallow aquifer groundwater(GW)has been severely affected in recent decades for both geogenic and anthropogenic *** hydro-geochemical characteristics of the GW change inconsistently with the addition of unwanted inorganic trace elements into the GW aquifer of the Indo-Bangladesh delta region(IBDR),such as arsenic(As)along with fluoride(F-)*** GW can have a negative impact on drinking water supplies and agricultural *** pollution can have serious adverse effects on the environment and human ***,the GW quality of this region is deteriorating progressively,and human health threatening by various life-threatening ***,the current study concentrated on the GW quality evaluation and prediction of possible health issues in the IBDR due to elevated contamination of As along with F-within GW aquifers by considering sixteen *** survey-based statistical methods such as entropy quality index(EWQI)combined with health risk index(HRI)was implemented for evaluating the As and F-sensitivity with the help of correlation testing and principal component *** study's outcome explains that a substantial portion of the IBDR has been vastly experiencing inferior GW quality,environmental issues,and health-related problems in dry and wet seasons,correspondingly for As and *** diagram verified the suitability of water that almost 55%of GW across the study area’s aquifers are unfit for drinking as well as cultivation of *** analysis and the Monte Carlo simulation method were also applied to assess the contaminant's concentration level and probable health risk *** present study concludes that the elevated exposure of As and F-pollution has to be monitored regularly and prevent unwanted GW contamination through implementing sustainable approaches and policies to fulfil the sustainable development goal 6(SDG-6)till 2030,ensuring the most basic human right of clean,safe,and hy

关键词： Indo-Bangladesh delta Entropy quality index Health risk index Monte Carlo simulation SDG-6

Regeneration mechanisms and therapeutic strategies for neuromuscular junctions in aging and diseases

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Neural Regeneration Research 2025年第1期20卷 193-194页

作者： Masashi Fujitani abu md Mamun Tarif Yoshinori Otani Department of Anatomy and Neuroscience Faculty of MedicineShimane UniversityShimaneJapan

The neuromuscular junction(NMJ)is an essential synaptic structure composed of motor neurons,skeletal muscles,and glial cells that orchestrate the critical process of muscle contraction(Li et al.,2018).The typical NMJ structure is classically described as having a“pretzel-like”shape in mice(Figure 1),whereas human NMJs have a smaller,fragmented structure throughout *** NMJs exhibit smaller or fragmented endplates,partial denervation,reduced numbers of synaptic vesicles,abnormal presynaptic mitochondria,and dysfunctional perisynaptic Schwann cells(Alhindi et al.,2022).

关键词： aging structure Figure