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Analysing the relationship between drought and soil erosion using vegetation health index and RUSLE models in Godavari middle sub-basin,India

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Geoscience Frontiers 2022年第2期13卷 21-33页

作者： md Masroor Haroon Sajjad Sufia Rehman Roshani Singh md hibjur rahaman Mehebub Sahana Raihan Ahmed Ram Avtar Department of Geography Faculty of Natural SciencesJamia Millia IslamiaNew DelhiIndia School of Environment Education and Development(SEED)University of ManchesterUnited Kingdom Graduate School of Environment Earth Science Hokkaido UniversityJapan

Drought is a natural phenomenon posing severe implications for soil,groundwater and agricultural *** has been recognized as one of the most pervasive global change drivers to affect the *** being a weakly renewable resource takes a long time to form,but it takes no time to ***,the response of soil to drought conditions as soil loss is not manifested in the existing ***,this study makes a concerted effort to analyze the relationship between drought conditions and soil erosion in the middle sub-basin of the Godavari River in *** remote sensing data was utilized for driving drought indices during ***,we constricted Temperature condition index(TCI)and Vegetation Condition Index(VCI)from Land Surface Temperature(LST)and Enhanced Vegetation Index(EVI)derived from MODIS *** and VCI were then integrated to determine the Vegetation Health Index(VHI).Revised Universal Soil Loss Equation(RUSLE)was utilized for estimating soil *** relationship between drought condition and vegetation was ascertained using the Pearson *** of the northern and southern watersheds experienced severe drought condition in the sub-basin *** mean frequency of the drought occurrence was 7.95 *** average soil erosion in the sub-basin was estimated to be 9.88 t ha^(-1)year^(-1).A positive relationship was observed between drought indices and soil erosion values(r value being 0.35).However,wide variations were observed in the distribution of spatial *** various factors,the slope length and steepness were found to be the main drivers of soil erosion in the ***,the study calls for policy measures to lessen the impact of drought and soil erosion.

关键词： Drought vulnerability Soil erosion RUSLE Vegetation Health Index(VHI) Godavari middle sub-basin

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Effectiveness of hybrid ensemble machine learning models for landslide susceptibility analysis:Evidence from Shimla district of North-west Indian Himalayan region

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Journal of Mountain Science 2024年第7期21卷 2368-2393页

作者： SHARMA Aastha SAJJAD Haroon rahaman md hibjur SAHA Tamal Kanti BHUYAN Nirsobha Department of Geography Faculty of SciencesJamia Millia IslamiaNew Delhi-110025India

The Indian Himalayan region is frequently experiencing climate change-induced ***,landslide susceptibility assessment assumes greater significance for lessening the impact of a landslide *** paper makes an attempt to assess landslide susceptibility in Shimla district of the northwest Indian Himalayan *** examined the effectiveness of random forest(RF),multilayer perceptron(MLP),sequential minimal optimization regression(SMOreg)and bagging ensemble(B-RF,BSMOreg,B-MLP)models.A landslide inventory map comprising 1052 locations of past landslide occurrences was classified into training(70%)and testing(30%)*** site-specific influencing factors were selected by employing a multicollinearity *** relationship between past landslide occurrences and influencing factors was established using the frequency ratio *** effectiveness of machine learning models was verified through performance *** landslide susceptibility maps were validated by the area under the receiver operating characteristic curves(ROC-AUC),accuracy,precision,recall and *** key performance metrics and map validation demonstrated that the BRF model(correlation coefficient:0.988,mean absolute error:0.010,root mean square error:0.058,relative absolute error:2.964,ROC-AUC:0.947,accuracy:0.778,precision:0.819,recall:0.917 and F-1 score:0.865)outperformed the single classifiers and other bagging ensemble models for landslide *** results show that the largest area was found under the very high susceptibility zone(33.87%),followed by the low(27.30%),high(20.68%)and moderate(18.16%)susceptibility *** factors,namely average annual rainfall,slope,lithology,soil texture and earthquake magnitude have been identified as the influencing factors for very high landslide *** texture,lineament density and elevation have been attributed to high and moderate ***,the study calls for devising suitable landslide mitig

关键词： Landslide susceptibility Site-specific factors Machine learning models Hybrid ensemble learning Geospatial techniques Himalayan region

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Status and prospects for symmetric organic redox flow batteries

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Journal of Energy Chemistry 2025年第1期100卷 125-143页

作者： md Al Raihan C.Adam Dyker Department of Chemistry University of New Brunswick

As environmental concerns from fossil fuel consumption intensify, large-scale energy storage becomes imperative for the integration of renewable sources like wind, hydro, and solar with the electrical *** flow batteries, particularly those employing organic molecules, are positioned as a key technology for this purpose. This review explores the growing field of symmetric organic redox flow batteries(ORFBs) within this context. Unlike traditional asymmetric designs based on unique active materials for each electrode, symmetric ORFBs involve a single bipolar species for both electrodes. This review highlights the benefits of a symmetric design, and categorizes five distinct classes of organic bipolar molecules used in both aqueous and non-aqueous solvents. By providing a comprehensive overview of their cell cycling and performance characteristics, the strengths and weaknesses of the diverse categories of bipolar molecules are highlighted for both solvent systems, as are opportunities for future development. This should guide new research directions and advance the development of practical symmetric ORFBs.

关键词： Redox flow battery Symmetric battery Organic battery Aqueous electrolyte Non-aqueous electrolyte

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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

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Bangla language modeling algorithm for automatic recognition of hand-sign-spelled Bangla sign language

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Frontiers of Computer Science 2020年第3期14卷 45-64页

作者： Muhammad Aminur rahaman Mahmood JASIM md.Haider ALI md.HASANUZZAMAN Department of Computer Science and Engineering University of DhakaDhaka-1000Bangladesh

Because of using traditional hand-sign segmentation and classification algorithm,many diversities of Bangla language including joint-letters,dependent vowels *** representing 51 Bangla written characters by using only 36 hand-signs,continuous hand-sign-spelled Bangla sign language(BdSL)recognition is *** paper presents a Bangla language modeling algorithm for automatic recognition of hand-sign-spelled Bangla sign language which consists of two *** phase is designed for hand-sign classification and the second phase is designed for Bangla language modeling algorithm(BLMA)for automatic recognition of hand-sign-spelled Bangla sign *** first phase,we have proposed two step classifiers for hand-sign classification using normalized outer boundary vector(NOBV)and window-grid vector(WGV)by calculating maximum inter correlation coefficient(ICC)between test feature vector and pre-trained feature *** first,the system classifies hand-signs using *** classification score does not satisfy specific threshold then another classifier based on WGV is *** system is trained using 5,200 images and tested using another(5,200×6)images of 52 hand-signs from 10 signers in 6 different challenging environments achieving mean accuracy of 95.83%for classification with the computational cost of 39.972 milliseconds per *** the Second Phase,we have proposed Bangla language modeling algorithm(BLMA)which discovers all"hidden characters"based on"recognized characters"from 52 hand-signs of BdSL to make any Bangla words,composite numerals and sentences in BdSL with no training,only based on the result of first *** the best of our knowledge,the proposed system is the first system in BdSL designed on automatic recognition of hand-sign-spelled BdSL for large *** system is tested for BLMA using hand-sign-spelled 500 words,100 composite numerals and 80 sentences in BdSL achieving mean accuracy of 93.50%,95.50%and 90.50%respectively.

关键词： Bangla sign language(BdSL) hand-sign classification Bangla language modeling rules(BLMR) Bangla language modeling algorithm(BLMA)

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Rhabdomyolysis-related acute kidney injury in COVID-19:A critical concern

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World Journal of Virology 2025年第1期14卷 127-129页

作者： md Safiullah Sarker Virology Laboratory Infectious Diseases DivisionDhaka 1212Bangladesh

Rhabdomyolysis is a severe condition characterized by the breakdown of muscle tissue leading to the release of intracellular components into the *** condition,when associated with acute kidney injury(AKI),can result in significant morbidity and mortality,particularly in the context of coronavirus disease 2019(COVID-19).This editorial discusses a retrospective study on patients with COVID-19 who developed rhabdomyolysis-related *** study highlights that patients with rhabdomyolysis exhibited higher inflammatory markers,such as Creactive protein,ferritin,and procalcitonin,and experienced worse clinical outcomes compared to those with other causes of *** findings underscore the importance of early recognition and management of rhabdomyolysis in COVID-19 patients to improve prognosis and reduce mortality rates.

关键词： Rhabdomyolysis Acute kidney injury COVID-19 SARS-CoV-2 Creatine kinase Inflammation Prognosis Mortality

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Ru/NiMnB spherical cluster pillar for highly proficient green hydrogen electrocatalyst at high current density

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Journal of Energy Chemistry 2025年第1期100卷 397-408页

作者： md Ahasan Habib Shusen Lin Mehedi Hasan Joni Sumiya Akter Dristy Rutuja Mandavkar Jae-Hun Jeong Jihoon Lee Department of Electronic Engineering College of Electronics and Information Kwangwoon University

Advanced OER/HER electrocatalytic alternatives are crucial for the wide adaptation of green hydrogen ***,Ru/NiMnB spherical cluster pillar （SCP）,denoted as Ru/NiMnB,is synthesized using a combination of electro-deposition and hydrothermal *** investigation of Ru doping in the NiMnB matrix revealed significant improvements in electrocatalytic *** Ru/NiMnB SCPs demonstrate superior OER/HER activity with low overpotentials of 150 and 103 mV at 50mA/cm2in 1 M KOH,making them highly competitive with state-of-the-art ***,the Ru/NiMnB SCPs exhibit a low 2-E cell voltage of 2.80 V at ultra-high current density of 2,000 m A/cm2in 1 M KOH,outperforming the standard benchmark electrodes of RuO2||Pt/C,thereby positioning Ru/NiMnB as one of the best bifunctional *** SCPs exhibit exceptional high-current characteristics,stability and corrosion resistance,as evidenced by continuous operation at 1,000 mA/cm2high-current density for over 150 h in 6 M KOH at elevated temperatures under harsh industrial *** a small amount of Ru incorporation significantly enhances the electrocatalytic performances of NiMnB,attributed to increased active sites and improved intrinsic properties such as conductivity,adsorption/desorption capability and reaction ***,Ru/NiMnB SCPs present a promising bi-functional electrode concept for efficient green H2production.

关键词： Advanced electrocatalyst High current Corrosion resistance Industrial requirement

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Vision Intelligence for Smart Sheep Farming: Applying Ensemble Learning to Detect Sheep Breeds

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Artificial Intelligence in Agriculture 2024年第1期11卷 1-12页

作者： Galib Muhammad Shahriar Himel md Masudul Islam Mijanur rahaman Bangladesh University of Business and Technology DhakaBangladesh

The ability to automatically recognize sheep breeds holds significant value for the sheep *** farmers often require breed identification to assess the commercial worth of their ***,many farmers specifically the novice one encounter difficulties in accurately identifying sheep breeds without experts in the ***,there is a need for autonomous approaches that can effectively and precisely replicate the breed identification skills of a sheep breed expert while functioning within a farm environment,thus providing considerable benefits the industry-specific to the novice farmers in the *** achieve this objective,we suggest utilizing a model based on convolutional neural networks(CNNs)which can rapidly and efficiently identify the type of sheep based on their facial *** approach offers a cost-effective *** conduct our experiment,we utilized a dataset consisting of 1680 facial images which represented four distinct sheep *** paper proposes an ensemble method that combines Xception,VGG16,InceptionV3,InceptionResNetV2,and DenseNet121 *** the transfer learning using this pre-trained model,we applied several optimizers and loss functions and chose the best combinations out of *** classification model has the potential to aid sheep farmers in precisely and efficiently distinguishing between various breeds,enabling more precise assessments of sector-specific classification for different businesses。

关键词： Computer vision Sheep breed classification Image processing Transfer learning Ensemble learning Meta learner

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Design and analysis of high birefringence and nonlinearity with small confinement loss photonic crystal fiber

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Frontiers of Optoelectronics 2019年第2期12卷 165-173页

作者： Rekha SAHA md.Mahbub HOSSAIN md. Ekhlasur rahaman Himadri Shekhar MONDAL Electronics and Communication Engineering Discipline Khulna UniversityKhulna 9208Bangladesh

High birefringence with low confinement loss photonic crystal fiber (PCF) has significant advantages in the field of sensing, dispersion compensation devices, nonlinear applications, and polarization filter. In this report, two different models of PCFs are presented and compared. Both the models contain five air holes rings with combination of circular and elliptical air holes arrangement. Moreover, the elliptical shaped air holes polarization and the third ring air holes rotational angle are varied. To examine different guiding characteristics, finite element method (FEM) with perfectly matched layer (PML) absorbing boundary condition is applied from 1.2 to 1.8 |im wavelength range. High birefringence, low confinement loss, high nonlinearity, and moderate disper-sion values are successfully achieved in both the PCFs models. Numeric analysis shows that model-1 gives higher birefringence (2.75 ×10^-2) and negative dispersion (-540.67 ps/(nm ·km)) at 1.55 |im wavelength. However, model-2 gives more small confinement loss than model-1 at the same wavelength. In addition, the proposed design demonstrates the variation of rotation angle has great impact to enhance guiding properties especially the birefringence.

关键词： birefringence dispersion polarization main-taining photonic crystal fiber (PCF) polarization-selective devices polarization

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How do board features and auditor characteristics shape key audit matters disclosures?Evidence from emerging economies

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China Journal of Accounting Research 2023年第4期16卷 51-69页

作者： md Mustafizur rahaman md.Rezaul Karim UQ Business School The University of QueenslandBrisbaneQLD 4072Australia Department of Accounting and Information Systems University of DhakaDhaka 1000Bangladesh

This study examines how corporate board features and auditor characteristics in Bangladesh influence the disclosure of key audit matters(KAM)in annual reports from 2018 to *** ordinary least squares(OLS)regressions,the study finds that factors such as chair gender,the presence of women on the board,audit committee(AC)size,auditor tenure,and client-auditor relationship significantly affect KAM ***,AC expertise,family CEO succession,and board political connections do not have significant ***,having a family member CEO with a long-tenured auditor has a negative association with KAM disclosure,while a politically connected family CEO has a positive association with such ***,Big-4 auditors of important clients are negatively associated with KAM disclosure.

关键词： Key audit matters Board characteristics Auditor characteristics Corporate governance Bangladesh

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