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American Journal of Operations Research 2024年第1期14卷 74-86页

作者： Abdur Rashid md. Amirul Islam Department of Mathematics Jahangirnagar University Dhaka Bangladesh Department of Mathematics Uttara University Dhaka Bangladesh

In operations research, the transportation problem (TP) is among the earliest and most effective applications of the linear programming problem. Unbalanced transportation problems reflect the reality of supply chain and logistics situations where the available supply of goods may not precisely match the demand at different locations. To deal with an unbalanced transportation problem (UTP), it is essential first to convert it into a balanced transportation problem (BTP) to find an initial basic feasible solution (IBFS) and hence the optimal solution. The present paper is concerned with introducing a new approach to convert an unbalanced transportation problem into a balanced one and as a consequence to obtain optimum total transportation cost. Numerical examples are provided to demonstrate the suggested method.

关键词： Unbalanced Transportation Problem (UTP) Supply Demand Initial Solution Optimal Solution

Impact of Action Observation Therapy along with Usual Physiotherapy Intervention of Individual with Alzheimer’s Disease

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Advances in Alzheimer's Disease 2024年第1期13卷 1-10页

作者： Zahid Bin Sultan Nahid Faruq Ahmed Tuhin Ahammed md Kutub Uddin md Sirazul Islam S M Maruf Hossain Sajib md Rafiqul Islam Department of Physiotherapy Saic College of Medical Science and Technology Mirpur Bangladesh Department of Physiotherapy Centre for the Rehabilitation of the Paralysed (CRP) Savar Bangladesh Department of Physiotherapy Centre for the Rehabilitation of the Paralysed (CRP) Mymensingh Bangladesh Department of Physiotherapy Centre for the Rehabilitation of the Paralysed (CRP) Mirpur Bangladesh Department of Physiotherapy State College of Health Sciences Dhaka Bangladesh

Alzheimer’s disease (AD) is a neurodegenerative disorder characterized by cognitive impairments in the initial stage, which lead to severe cognitive dysfunction in the later stage. Action observation therapy (AOT) is a multisensory cognitive rehabilitation technique where the patient initially observes the actions and then tries to perform. The study aimed to examine the impact of AOT along with usual physiotherapy interventions to reduce depression, improve cognition and balance of a patient with AD. A 67 years old patient with AD was selected for this study because the patient has been suffering from depression, dementia, and physical dysfunction along with some other health conditions like diabetes and hypertension. Before starting intervention, a baseline assessment was done through the Beck Depression Inventory (BDI) tool, the Mini-Cog Scale, and the Berg Balance Scale (BBS). The patient received 12 sessions of AOT along with usual physiotherapy interventions thrice a week for four weeks, which included 45 minutes of each session. After four weeks of intervention, the patient demonstrated significant improvement in depression, cognition, and balance, whereas the BDI score declined from moderate 21/63 to mild 15/63 level of depression. The Mini-Cog score improved from 2/5 to 4/5, and the BBS score increased from 18/56 to 37/56. It is concluded that AOT along with usual physiotherapy intervention helps to reduce depression, improve cognition and balance of people with AD.

关键词： Alzheimer’s Disease Action Observation Therapy Physiotherapy Intervention

Legendre-Weighted Residual Methods for System of Fractional Order Differential Equations

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Journal of Applied Mathematics and Physics 2024年第9期12卷 3163-3184页

作者： Umme Ruman md. Shafiqul Islam Department of Computer Science & Engineering Green University of Bangladesh Dhaka Bangladesh Department of Applied Mathematics University of Dhaka Dhaka Bangladesh

The numerical approach for finding the solution of fractional order systems of boundary value problems (BPVs) is derived in this paper. The implementation of the weighted residuals such as Galerkin, Least Square, and Collocation methods are included for solving fractional order differential equations, which is broadened to acquire the approximate solutions of fractional order systems with differentiable polynomials, namely Legendre polynomials, as basis functions. The algorithm of the residual formulations of matrix form can be coded efficiently. The interpretation of Caputo fractional derivatives is employed here. We have demonstrated these methods numerically through a few examples of linear and nonlinear BVPs. The results in absolute errors show that the present method efficiently finds the numerical solutions of fractional order systems of differential equations.

关键词： Fractional Differential Equations System of Fractional Order BVPs Weighted Residual Methods Modified Legendre Polynomials

Galerkin-Bernstein Approximations for the System of Third-Order Nonlinear Boundary Value Problems

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Journal of Applied Mathematics and Physics 2024年第6期12卷 2083-2101页

作者： Snigdha Dhar md. Shafiqul Islam Department of Applied Mathematics University of Dhaka Dhaka Bangladesh

This paper is devoted to find the numerical solutions of one dimensional general nonlinear system of third-order boundary value problems (BVPs) for the pair of functions using Galerkin weighted residual method. We derive mathematical formulations in matrix form, in detail, by exploiting Bernstein polynomials as basis functions. A reasonable accuracy is found when the proposed method is used on few examples. At the end of the study, a comparison is made between the approximate and exact solutions, and also with the solutions of the existing methods. Our results converge monotonically to the exact solutions. In addition, we show that the derived formulations may be applicable by reducing higher order complicated BVP into a lower order system of BVPs, and the performance of the numerical solutions is satisfactory. .

关键词： System of Third-Order BVP Galerkin Method Bernstein Polynomials Nonlinear BVP Higher-Order BVP

Upgrade from aerated static pile to agitated bed systems promotes lignocellulose degradation in large-scale composting through enhanced microbial functional diversity

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Journal of Environmental Sciences 2024年第10期144卷 55-66页

作者： Hanxia Yu Haoyan Xiao Huiyu Deng Adam Frew md.Akhter Hossain Wenbing Tan Beidou Xi School of Geographical Sciences Fujian Normal UniversityFuzhou 350007China Hawkesbury Institute for the Environment Western Sydney UniversityLocked Bag 1797PenrithNSW 2751Australia State Key Laboratory of Environmental Criteria and Risk Assessment Chinese Research Academy of Environmental SciencesBeijing 100012China

Composting presents a viable management solution for lignocellulose-rich municipal solid ***,our understanding about the microbial metabolic mechanisms involved in the biodegradation of lignocellulose,particularly in industrial-scale composting plants,remains *** study employed metaproteomics to compare the impact of upgrading from aerated static pile(ASP)to agitated bed(AB)systems on physicochemical parameters,lignocellulose biodegradation,and microbial metabolic pathways during largescale biowaste composting process,marking the first investigation of its *** degradation rates of lignocellulose including cellulose,hemicellulose,and lignin were significantly higher in AB(8.21%-32.54%,10.21%-39.41%,and 6.21%-26.78%)than those(5.72%-23.15%,7.01%-33.26%,and 4.79%-19.76%)in ASP at three thermal stages,*** AB system in comparison to ASP increased the carbohydrate-active enzymes(CAZymes)abundance and production of the three essential enzymes required for lignocellulose decomposition involving a mixture of bacteria and fungi(i.e.,Actinobacteria,Bacilli,Sordariomycetes and Eurotiomycetes).Conversely,ASP primarily produced exoglucanase andβ-glucosidase via fungi(i.e.,Ascomycota).Moreover,AB effectively mitigated microbial stress caused by acetic acid accumulation by regulating the key enzymes involved in acetate conversion,including acetyl-coenzyme A synthetase and acetate ***,the AB upgraded from ASP facilitated the lignocellulose degradation and fostered more diverse functional microbial communities in large-scale *** findings offer a valuable scientific basis to guide the engineering feasibility and environmental sustainability for large-scale industrial composting plants for treating lignocellulose-rich *** findings have important implications for establishing green sustainable development models(e.g.,a circular economy based onmaterial recovery)and for achieving sustainable development goals.

关键词： Bacterial and fungal community Large-scale composting Lignocellulose degradation Microbial metabolism Metaproteomic analysis

Characteristics of Multi-Objective Linear Programming Problem and Multi-Objective Linear Fractional Programming Problem Taking Maximum Value of Multi-Objective Functions

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Applied Mathematics 2024年第1期15卷 22-32页

作者： Samsun Nahar md. Asadujjaman Khadiza Begum Mahede-Ul-Hassan md. Abdul Alim Department of Basic Sciences and Humanities University of Asia Pacific Dhaka Bangladesh Department of Mathematics University of Dhaka Dhaka Bangladesh Computer Science and Engineering Department Prime University Dhaka Bangladesh Department of Mathematics and Statistics Bangladesh University of Business and Technology Dhaka Bangladesh Department of Mathematics Bangladesh University of Engineering and Technology Dhaka Bangladesh

In this paper, a new statistical averaging technique is proposed for finding an optimal solution to a multi-objective linear fractional programming problem (MOLFPP) and multi-objective linear programming problem (MOLPP) by using new arithmetic averaging method and new geometric averaging method. It is significantly noticeable same characteristics among all the technique while taking maximum or minimum among all optimized values for multi-objective functions using simplex algorithm. The characteristics provided from the problems are verified by the numerical examples.

关键词： MOLPP MOLFPP New Arithmetic Averaging Method New Geometric Averaging Method

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

Deep learning methods for noisy sperm image classification from convolutional neural network to visual transformer:a comprehensive comparative study

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Intelligent Medicine 2024年第2期4卷 114-127页

作者： Ao Chen Chen Li md Mamunur Rahaman Yudong Yao Haoyuan Chen Hechen Yang Peng Zhao Weiming Hu Wanli Liu Shuojia Zou Ning Xu Marcin Grzegorzek Microscopic Image and Medical Image Analysis Group College of Medicine and Biological Information EngineeringNortheastern UniversityShenyangLiaoning 110169China Department of Electrical and Computer Engineering Stevens Institute of TechnologyHobokenNJ 07030USA School of Arts and Design Liaoning Petrochemical UniversityFushunLiaoning 113001China Institute of Medical Informatics University of LübeckLüebeckGermany

Background With the gradual increase of infertility in the world,among which male sperm problems are the main factor for infertility,more and more couples are using computer-assisted sperm analysis(CASA)to assist in the analysis and treatment of ***,the rapid development of deep learning(DL)has led to strong results in image classification ***,the classification of sperm images has not been well studied in current deep learning methods,and the sperm images are often affected by noise in practical CASA *** purpose of this article is to investigate the anti-noise robustness of deep learning classification methods applied on sperm *** The SVIA dataset is a publicly available large-scale sperm dataset containing three *** this work,we used subset-C,which provides more than 125,000 independent images of sperms and impurities,including 121,401 sperm images and 4,479 impurity *** investigate the anti-noise robustness of deep learning classification methods applied on sperm images,we conducted a comprehensive comparative study of sperm images using many convolutional neural network(CNN)and visual transformer(VT)deep learning methods to find the deep learning model with the most stable anti-noise *** This study proved that VT had strong robustness for the classification of tiny object(sperm and impurity)image datasets under some types of conventional noise and some adversarial *** particular,under the influence of Poisson noise,accuracy changed from 91.45%to 91.08%,impurity precison changed from 92.7%to 91.3%,impurity recall changed from 88.8%to 89.5%,and impurity F1-score changed 90.7%to 90.4%.Meanwhile,sperm precision changed from 90.9%to 90.5%,sperm recall changed from 92.5%to 93.8%,and sperm F1-score changed from 92.1%to 90.4%.Conclusion Sperm image classification may be strongly affected by noise in current deep learning methods;the robustness with regard to noise of VT methods based

关键词： Computer-assisted sperm analysis Anti-noise Robustness Deep learning .Image classification Sperm image Conventional noise Adversarial attacks Convolutional neural network Visual transformer

Lexicon and Deep Learning-Based Approaches in Sentiment Analysis on Short Texts

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Journal of Computer and Communications 2024年第1期12卷 11-34页

作者： Taminul Islam md. Alif Sheakh md. Rezwane Sadik Mst. Sazia Tahosin md. Musfiqur Rahman Foysal Jannatul Ferdush Mahbuba Begum Department of Computer Science and Engineering Daffodil International University Dhaka Bangladesh Department of Computer Science Southern Illinois University Carbondale IL USA Department of Economics & Decision Sciences University of South Dakota Vermillion SD USA Department of Computer Science and Engineering Jashore University of Science and Technology Jashore Bangladesh Department of Computer Science and Engineering Mawlana Bhashani Science and Technology University Tangail Bangladesh

Social media is an essential component of our personal and professional lives. We use it extensively to share various things, including our opinions on daily topics and feelings about different subjects. This sharing of posts provides insights into someone’s current emotions. In artificial intelligence (AI) and deep learning (DL), researchers emphasize opinion mining and analysis of sentiment, particularly on social media platforms such as Twitter (currently known as X), which has a global user base. This research work revolves explicitly around a comparison between two popular approaches: Lexicon-based and Deep learning-based Approaches. To conduct this study, this study has used a Twitter dataset called sentiment140, which contains over 1.5 million data points. The primary focus was the Long Short-Term Memory (LSTM) deep learning sequence model. In the beginning, we used particular techniques to preprocess the data. The dataset is divided into training and test data. We evaluated the performance of our model using the test data. Simultaneously, we have applied the lexicon-based approach to the same test data and recorded the outputs. Finally, we compared the two approaches by creating confusion matrices based on their respective outputs. This allows us to assess their precision, recall, and F1-Score, enabling us to determine which approach yields better accuracy. This research achieved 98% model accuracy for deep learning algorithms and 95% model accuracy for the lexicon-based approach.

关键词： Opinion Mining Lexicon Analysis Twitter Data LSTM Machine Learning

Numerical Study and Optimization of CZTS-Based Thin-Film Solar Cell Structure with Different Novel Buffer-Layer Materials Using SCAPS-1D Software

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Energy and Power Engineering 2024年第4期16卷 179-195页

作者： md. Zamil Sultan Arman Shahriar Rony Tota md. Nuralam Howlader Hasibul Haque Rodro Mahfuja Jannat Akhy md. Abir Al Rashik Department of Electrical and Electronic Engineering Hajee Mohammad Danesh Science and Technology University Dinajpur Bangladesh

This study explored the performances of CZTS-based thin-film solar cell with three novel buffer layer materials ZnS, CdS, and CdZnS, as well as with variation in thickness of buffer and absorber-layer, doping concentrations of absorber-layer material and operating temperature. Our aims focused to identify the most optimal thin-film solar cell structure that offers high efficiency and lower toxicity which are desirable for sustainable and eco-friendly energy sources globally. SCAPS-1D, widely used software for modeling and simulating solar cells, has been used and solar cell fundamental performance parameters such as open-circuited voltage (), short-circuited current density (), fill-factor() and efficiency() have been optimized in this study. Based on our simulation results, it was found that CZTS solar cell with Cd0.4Zn0.6S as buffer-layer offers the most optimal combination of high efficiency and lower toxicity in comparison to other structure investigated in our study. Although the efficiency of Cd0.4Zn0.6S, ZnS and CdS are comparable, Cd0.4Zn0.6S is preferable to use as buffer-layer for its non-toxic property. In addition, evaluation of performance as a function of buffer-layer thickness for Cd0.4Zn0.6S, ZnS and CdS showed that optimum buffer-layer thickness for Cd0.4Zn0.6S was in the range from 50 to 150nm while ZnS offered only 50 – 75 nm. Furthermore, the temperature dependence performance parameters evaluation revealed that it is better to operate solar cell at temperature 290K for stable operation with optimum performances. This study would provide valuable insights into design and optimization of nanotechnology-based solar energy technology for minimizing global energy crisis and developing eco-friendly energy sources sustainable and simultaneously.

关键词： Thin-Film Solar Cell CZTS Buffer-Layer Renewable Energy Green-House Gases Efficiency