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Evaluation of Information Technology Implementation for Business Goal Improvement under Process Functionality in Economic Development

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Journal of Data Analysis and Information Processing 2024年第2期12卷 304-317页

作者： Sk Ayub Al Wahid Nur Mohammad Rakibul Islam md. Habibullah Faisal md. sohel rana International American University Los Angeles California USA

Improving organizational performance can be achieved through business process redesign (BPR). When it comes to modern work practices, organizations must often redesign their processes to keep up. This is where enterprise software comes in, offering a common data infrastructure that enables different parts of the organization to access all necessary financial data. The architecture of network accounting business process is divided into three layers. The core layer lies in the enterprise LAN that it can integrate six business processes information into one unity of financial information and non-financial information, including purchasing, inventory, production, sales, finance and customer service, and it can generate flexibly a variety of accounting statements to meet fully the information users’ demands by providing more complete and more valuable related information. The second layer lies in Intranet among enterprises based on the core layer that it can support the link of business processes and the inter-sharing of information among node enterprises of SCM and other external enterprises. The third layer lies in Internet based on the second layer that it can fit society, enterprise and individual together, the specific lays the solid foundation of business collaboration, remote management, online management and centralized management. The operating mechanisms of the network accounting business processes are as follows. When the business event occurs, the probe can get the event information in real-time and the result is stored in the database. Meanwhile, the drive controller can control the business events in real-time by gaining control criteria and standards from database. In case the standard is exceeded, the event is not allowed to occur. Enterprise’ business staff or external personnel can output automatically the required results through report tools if they had the reading authority. Supported the information system and optimizing processes, the managers can

关键词： ISMS OKC EA EAF EAP

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Analysis of Pedestrian Facilities in CBD Area of Pabna Municipality, Bangladesh

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Journal of Civil Engineering and Architecture 2017年第11期11卷 1025-1037页

作者： md. Saiful Islam md. sohel rana Department of Urban and Regional Planning Pabna University of Science and Technology Pabna 6600 Bangladesh

Pabna is one the most densely populated town with poor transport infrastructure in Bangladesh. Here huge pedestriangathers in roads and intersections in CBD （Central Business District） area mainly for commercial and business purposes. At present,pedestrian facilities are one of the greatest challenges in terms of traffic and safety for the urban dwellers. The footpath, zebra rossing,road intersection, walkways, parking and other facilities are the major part of road transportation system as well as pedestrianfacilities and people have to pass walking distance to reach their destinations, before and after use of transport mode. For instance,this paper tries to emphasize the problems of pedestrian facilities and to explore the qualitative level of comfort for the pedestrians ofthree selected intersections namely Traffic More, Indra More and Nimtola More in CBD area of Pabna Municipality through primaryand secondary data. However, about 60% trips are making on foot every day, but the pedestrians are facing many problems whileusing the walkways. Pedestrian crossing behaviors were also observed by using pedestrian volume survey and the survey exploresthat pedestrian crossing rate at these intersections is about 5,000 to 7,000 per hour at a peak period and average 15% to 25% illegalcrossing occurs at those intersections. The physical observation and data from the questionnaire survey also indicate that informalbusiness on the footpath, illegal parking, illegal vendor on walkways, physical obstacle, poor lighting facilities and geometricproblem of the road intersection makes uncomfortable situations for the pedestrian day by day.

关键词： Pedestrian facilities, traffic congestion, pedestrian crossing, CBD area, traffic volumes.

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Investigation on Effect of Acid Wash with Thermocol Ball on Physical Properties of Knitted Garments

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Journal of Textile Science and Technology 2016年第2期2卷 16-21页

作者： Elias Khalil Masud rana Jewel Faria md. Al-Amin Islam md. sohel rana Department of Textile Engineering World University of Bangladesh Dhaka Bangladesh

Washing is considered as the final process of garments finishing. Acid washing is one kind of finishing treatment used for making sewn garments aesthetic, fashionable, soft, comfortable and also adding value to the final garments. This paper investigates the effect of the acid washing (with thermocol balls and potassium permanganate) on different physical properties of three knitted garments (Single Jersey 100% Cotton T-shirt, Single Jersey 95% Cotton 5% Spandex T-Shirt and 1 × 1 Rib100% Cotton T-Shirt). Typical washing procedures and techniques were followed and then physical properties were analyzed under standard condition. It is observed that fabric weight, CPI, WPI, spirality and shrinkage increase while bursting strength, stitch length absorbency decrease after washing treatment. pH of all the samples is under controlled and lies between 7 to 8. There is no change in pilling, colorfastness to wash, water and dry rubbing while a little bit decrease in wet rubbing.

关键词： Acid Wash Potassium Permanganate Thermocol Ball Physical Properties Knitted Garments

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Cytotoxic, Antimicrobial and Antioxidant Properties of <i>Commelina diffusa</i>Burm. F.

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Pharmacology & Pharmacy 2019年第2期10卷 82-93页

作者： Mahmuda Nasrin Farhana Afroz Suriya Sharmin md. sohel rana md. Hossain Sohrab Department of Pharmacy Jahangirnagar University Dhaka Bangladesh Pharmaceutical Sciences Research Division BCSIR Laboratories Dhaka Bangladesh

Commelina diffusa Burm. F. is a herbaceous tropical plant with different traditional medicinal uses. Present study is aimed to isolate the bioactive compounds from DCM-Methanol extract of the powdered whole plant of Commelina diffusa and to investigate the cytotoxic, antimicrobial and antioxidant activities of the crude extract and its twelve vacuum liquid chromatographic fraction (CD1-12). Vacuum Liquid Chromatography (VLC) was employed to isolate bioactive metabolites. The physicochemical properties of the isolated compound were examined and the molecular structure was elucidated by NMR spectroscopy.?Cytotoxic, antibacterial, antioxidant activities were evaluated following brine shrimp lethality bioassay, disc diffusion method and DPPH free radical scavenging assay respectively. The isolated compound was identified as steroid (stigmasterol) which had significant cytotoxic effect on vero cell line. The crude extract and its fractions (CD8-CD12) exhibited strong cytotoxicity in brine shrimp lethality bioassay having LC50 values 3.79, 9.19, 29.49, 16.60, 19.36, 44.58 μg/mL respectively. The crude extract showed mild to strong antibacterial activity. Fractions (CD5-CD12) showed mild to strong antibacterial activity against Escherichia coli in comparison with Kanamycin (standard). Strong antioxidant activities were found in crude extract (IC50 value 30.52 μg/ml), CD11 (IC50 value 39.27 μg/ml) and CD12 (IC50 value 19.50 μg/ml). The study suggests Commelina diffusa plant extract to have strong antioxidant and cytotoxic activity which is indicative of presence of compounds with broad spectrum of curative applications. One compound namely stigmasterol has been isolated from the plant.

关键词： Commelina diffusa Stigmasterol Brine Shrimp Lethality Bioassay Disc Diffusion Method Free Radical Scavenging Assay

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Overview of an Emerging Coronavirus Infection, COVID-19: Current Status of Vaccine Development and Therapeutics

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Pharmacology & Pharmacy 2021年第1期12卷 25-41页

作者： md. sohel rana md. Maruf Hasan md. Eshak Enan Fatema-Tuz Zohora A. T. M. Zafrul Azam Department of Pharmacy Faculty of Pharmacy University of Dhaka Dhaka Bangladesh Department of Pharmacy Primeasia University 9 Banani C/A Dhaka Bangladesh

Coronavirus infectious disease 2019 (COVID-19) first reported in Wuhan, China, causes serious respiratory illnesses such as lung failure and pneumonia. Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) the pathogenic agent of COVID-19 has been confirmed as a novel coronavirus. WHO announced COVID-19 a global pandemic and now the whole world is eagerly waiting for vaccines and therapeutic treatment to get rid of this unstoppable coronavirus. As COVID-19 infection, a global threat creates unwanted human casualties and serious economic loss. To stop the ongoing uncontrolled situation researchers are racing to develop prevention and treatment strategies. Vaccines of different countries are in clinical and preclinical trials and the repurposed-drugs are providing to find out a positive result against COVID-19. The report is an analysis of published information focusing

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Insights into Manipulation: Unveiling Tampered Images Using Modified ELA, Deep Learning, and Explainable AI

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Journal of Computer and Communications 2024年第6期12卷 135-151页

作者： md. Mehedi Hasan md. Masud rana Abu Sayed md. Mostafizur Rahaman Department of Information and Communication Technology Bangladesh University of Professionals Dhaka Bangladesh Department of Computer Science and Engineering Jahangirnagar University Dhaka Bangladesh

Digital image forgery (DIF) is a prevalent issue in the modern age, where malicious actors manipulate images for various purposes, including deception and misinformation. Detecting such forgeries is a critical task for maintaining the integrity of digital content. This thesis explores the use of Modified Error Level Analysis (ELA) in combination with a Convolutional Neural Network (CNN), as well as, Feedforward Neural Network (FNN) model to detect digital image forgeries. Additionally, incorporation of Explainable Artificial Intelligence (XAI) to this research provided insights into the process of decision-making by the models. The study trains and tests the models on the CASIA2 dataset, emphasizing both authentic and forged images. The CNN model is trained and evaluated, and Explainable AI (SHapley Additive exPlanation— SHAP) is incorporated to explain the model’s predictions. Similarly, the FNN model is trained and evaluated, and XAI (SHAP) is incorporated to explain the model’s predictions. The results obtained from the analysis reveals that the proposed approach using CNN model is most effective in detecting image forgeries and provides valuable explanations for decision interpretability.

关键词： IFD DIF ELA CNN FNN XAI SHAP CASIA2.0

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In Vitro Antioxidant and Radio Protective Activities of Lycopene from Tomato Extract against Radiation—Induced DNA Aberration

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Journal of Biosciences and Medicines 2024年第2期12卷 202-213页

作者： Safaiatul Islam Abu Hena Mostofa Kamal md. Ziaur Rahman Protul Kumar Roy A.Y.K. md. Masud rana Molecular Radiobiology and Biodosimetry Division Institute of Food and Radiation Biology Bangladesh Atomic Energy Commission Savar Bangladesh

Background: The accumulation of free radicals is linked to a number of diseases. Free radicals can be scavenged by antioxidants and reduce their harmful effects. It is therefore essential to look for naturally occurring antioxidants that come from plants, as synthetic antioxidants are toxic, carcinogenic and problematic for the environment. Lycopene is one of the carotenoids, a pigment that dissolves in fat and has antioxidant properties. Materials and Methods: The antioxidant and free radical scavenging activity were assessed using the 2,2-diphenyl-1-picrylhydrazyl (DPPH) assay. The impact of lycopene on bacteria (E. coli) susceptibility to γ-radiation was examined by radio sensitivity assay. The study also examined the induction of strand breaks in plasmid pUC19 DNA and how lycopene extract protected the DNA from γ-radiation in vitro. Results: At varying concentrations, lycopene demonstrated its ability to scavenge free radicals such as 2, 2-diphenyl-1-picrylhydrazyl (DPPH). IC50 for lycopene was determined at 112 μg/mL which was almost partial to IC50 of standard antioxidant L-ascorbic acid. The D10 value 180 Gy of E. coli was found to be >2-fold higher in the extract-containing lycopene sample than in the extract-free controls. The lycopene extracts inhibited the radiation-induced deterioration of the plasmid pUC19 DNA. At an IC50 concentration, lycopene provided the highest level of protection. Conclusion: Lycopene functions as an efficient free radical scavenger and possible natural antioxidant source. For cancer patients and others who frequently expose themselves to radiation, lycopene may be a useful plant-based pharmaceutical product for treating a variety of diseases caused by free radicals.

关键词： Radio Protective Antioxidants Free Radical DNA Damage pUC19 Plasmid Gamma Irradiation DPPH

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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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Are Socially Responsible Banks More Risk Averse and Dividends Providers?Empirical Evidence from a Developing Economy

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Journal of Sustainable Business and Economics 2024年第2期7卷 1-20页

作者： md.Al Amin rana Sikder Tanvir Rahman Sohan Department of Accounting Mawlana Bhashani Science and Technology University Department of Management Mawlana Bhashani Science and Technology University

Purpose:This study examines whether socially responsible firms are uninterested in risk-taking and whether socially responsible banks are more dividend providers than socially irresponsible *** conducted the analysis using the least-squares method for 290-panel data observations of 32 commercial banks operating in Bangladesh from 2008 to ***:We employed Ordinary Least Squares Regression for 290-panel data observations of 32 commercial banks operating in Bangladesh from 2008 to 2018 using EViews software ***,we conducted descriptive analysis and correlations using SPSS *** considered CSRI and CSRPI as the indicators of corporate social responsibility,dividend per share and stock dividend as a proxy of dividend policy,LEV(leverage),and non-performing loan to total loan as the indicators of financial risk,and lastly,Z score as the indicator of financial ***:Studies have shown that banks prioritizing social responsibility tend to pay dividends to their shareholders more frequently and consistently than banks that do *** particular,banks that invest heavily in corporate social responsibility(CSR)tend to maintain a stable dividend payout,which can help address agency problems that arise from overinvestment in the CSR ***,we found that banks that make huge expenditures on CSR also seem to have a low eagerness for ***,we found that the financial stability of a socially responsible bank is high and stable enough,which will help efficiently handle the bank’s financial risks,reduce price fluctuations,and increase financial assets that generally influence a bank’s monetary ***:Banks implementing fruitful CSR strategies can produce substantial shareholder advantages through high dividend payout *** expansion in CSR-related expenditure does not prompt a cut-down or reduce the portion of income paid out as dividends to ***,the Output of our study will

关键词： Corporate Social Responsibility Business stability Risk Stakeholders Dividend policy Bangladesh

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Ethno-medicinal plants use by the Manipuri tribal community in Bangladesh

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Journal of Forestry Research 2010年第1期21卷 85-92,I0003,I0004页

作者： Parvez rana Shawkat Islam sohel Sayma Akhter Jahirul Islam Department of Forestry and Environmental Science Shahjalal University of Science and Technology National Graduate Institute for Policy Studies

An ethno-medicinal investigation was conducted to understand the traditional knowledge of medicinal plants being used by the Maninuri tribe in Bangladesh. The present study was done through structured questionnaires in consultations with the tribal practitioners. A total 32 plant species belonging to 26 families and 29 genera were found to use for Curing 37 ailments. Results show that the use of aboveground plant parts was higher （86%） than the underground plant parts （14%）. Leaf was used in the majority of cases for medicinal preparation （17 species） followed by bark, fruit, root/rhizome, whole plant, seed and flower. Among the 32 plant species, they were mainly used to treat dysentery （10 species）, followed by fever and rheumatism （5 species each）; asthma, constipation, wounds and skin diseases （4 species each）; cold ailments, cough and diarrhea （3 species each）. The study revealed that 72% plant species investigated were used to cure more than one ailment. About 75% medicinal plants were taken orally followed by externally （9%） and both orally and externally （16%）. The study thus underscores the potentials of the ethno-botanical research and the need for the documentation of indigenous healthcare knowledge pertaining to the medicinal plant utilization for the greater benefit of mankind.

关键词： Bangladesh indigenous healthcare practice Manipur tribe medicinal plants

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