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Groundwater arsenic poisoning in a primary educational institution:health risks to school-going children

Acta Geochimica 2022年第6期41卷 1069-1082页

作者： md.sohel rana md.Jahangir Alam mdAbu Musa Sazal Kumar md.Aminur Rahman Zonal Laboratory Department of Public Health Engineering(DPHE)RangpurBangladesh Department of Chemistry Carmichael CollegeRangpurBangladesh Department of Applied Chemistry and Chemical Engineering Islamic UniversityKushtia7003Bangladesh School of Environmental and Life Sciences The University of NewcastleCallaghanNSW2308Australia Global Centre for Environmental Remediation(GCER) College of EngineeringScience and EnvironmentThe University of NewcastleCallaghanNSW2308Australia Zonal Laboratory Department of Public Health Engineering(DPHE)Jashore-7400Bangladesh

This study aimed to estimate arsenic(As)and iron(Fe)content in tubewell water(n=58)in primary educational institutions and subsequently assess the health risks to school-going *** described that the As concentration ranged between 0.002 and 0.994 mg L^(-1)with an average value of 0.044 mg L^(-1);which exceeded the World Health Organization(WHO)provisional guideline value of 0.01 mg L^(-1).Similarly,the Fe content varied from 0.05 to 10 mg L^(-1)averaging to 2.84 mg L^(-1).Samples of 55.17%contained a greater As concentration than0.01 mg L^(-1)and 18.97%greater than Bangladesh drinking water quality(BDWQ)standard of 0.05 mg L^(-1),***,75.86%of samples contained a higher Fe concentration than the maximum Bangladesh permissible limit of 1 mg L^(-1).Health risk assessment indicated that girls are more vulnerable than boys *** average hazard quotients(HQs)for As intake through drinking water were 6.01±17.85 and 7.41±22.03 for boys and girls,respectively,implying non-carcinogenic health risks to both *** HQs for Fe intake were less than threshold value of 1 indicating no health issues may arise from Fe intake ***,consumption of As and Fe may trigger health risks to students as indicated by the hazard index(HI),which was higher than *** average cancer risk(CR)values for both boys(0.0027±0.008)and girls(0.0033±0.0099)exceeded the threshold limit of 10-6-10-4,suggesting a possibility of lifetime cancer risks to the school-going ***,school authorities should find alternative ways to ensure safe drinking water for school-going children to avoid possible cancer and non-cancer health risks through consumption of As-poisoning water.

关键词： Arsenic Iron Human health risks Groundwater

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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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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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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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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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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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Stature estimation from footprint measurements in Bangladeshi adults

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Forensic Sciences Research 2022年第2期7卷 124-131页

作者： md Asadujjaman md Harun Or Rashid md.sohel rana md Mosharraf Hossain Department of Industrial&Production Engineering Rajshahi University of Engineering&TechnologyRajshahiBangladesh

The estimation of stature is very important in forensic investigation,as it provides useful data that can narrow the pool of potentially matching *** purpose of this study was to develop formulae for the estimation of stature from footprint measurements in Bangladeshi *** study included 118 randomly selected men and 130 randomly selected women,all aged 18–50 *** each participant,stature and six footprint measurements were taken by means of standard measurement *** measurements were found to be positively correlated with *** was estimated by using linear regression *** right T1 length in men(R:þ0.587,R^(2):0.345)and the right T2 length in women(R:þ0.506,R^(2):0.256)were the most reliable individual estimators of ***,when data were combined for both sexes,the right T2 length was identified as the most reliable estimator of stature,with higher values of R(þ0.792)and R^(2)(0.627).In conclusion,human stature can be successfully estimated by using footprint measurements;this finding can be applied in forensic research and investigation.

关键词： Forensic sciences forensic anthropology anthropometry footprint stature estimation forensic identification

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Assessment of Online Transgender Healthcare Teaching Modules for Internal Medicine Residents and Fellows

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Open Journal of Internal Medicine 2024年第2期14卷 259-268页

作者： Elizabeth M. Lamos rana Malek Department of Medicine University of Maryland School of Medicine Baltimore MD USA

Background: Transgender healthcare is not a formal learning requirement in Internal Medicine residency or fellowship. The National LGBTQ Task Force appealed to urgently train clinicians on the effective care of transgender patients. Few studies address the successful implementation of transgender healthcare teaching and education in graduate medical education. Purpose: The purpose was to design an online asynchronous curriculum to address the need for improved transgender healthcare education in graduate medical education and assess change in knowledge and comfort in transgender healthcare for residents and fellow learners. Methods: A 6-module curriculum was developed using established guidelines and ACGME competencies as a framework for content. To assess curriculum effectiveness, participants received anonymous pre- and post-curriculum surveys which included a multiple-choice knowledge assessment, Likert scale comfort questions focusing on healthcare skills, and open-ended feedback questions. Results: Twenty-six internal medicine residents and fellows participated in the curriculum (2022-2023). There was a 69% post-survey response rate. Participants improved their gender-affirming knowledge after completing the curriculum (p Conclusion: This online curriculum was successful in increasing knowledge and comfort in transgender care for IM residents and fellows. It provides a promising framework to address this gap in curricular content.

关键词： Education Fellow Resident Transgender

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RBFK cipher:a randomized butterfly architecture‑based lightweight block cipher for IoT devices in the edge computing environment

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网络空间安全科学与技术(英文) 2023年第3期6卷 18-36页

作者： sohel rana M.Rubaiyat Hossain Mondal Joarder Kamruzzaman Institute of Information and Communication Technology Bangladesh University of Engineering and TechnologyDhakaBangladesh Centre for Smart Analytics Federation University AustraliaGippslandVIC 3842Australia

Internet security has become a major concern with the growing use of the Internet of Things(IoT)and edge computing *** though data processing is handled by the edge server,sensitive data is generated and stored by the IoT devices,which are subject to *** most IoT devices have limited resources,standard security algorithms such as AES,DES,and RSA hamper their ability to run *** this paper,a lightweight symmetric key cipher termed randomized butterfly architecture of fast Fourier transform for key(RBFK)cipher is proposed for resource-constrained IoT devices in the edge computing *** butterfly architecture is used in the key scheduling system to produce strong round keys for five rounds of the encryption *** RBFK cipher has two key sizes:64 and 128 bits,with a block size of 64 *** RBFK ciphers have a larger avalanche effect due to the butterfly architecture ensuring strong *** proposed cipher satisfies the Shannon characteristics of confusion and *** memory usage and execution cycle of the RBFK cipher are assessed using the fair evaluation of the lightweight cryptographic systems(FELICS)*** proposed ciphers were also implemented using MATLAB 2021a to test key sensitivity by analyzing the histogram,correlation graph,and entropy of encrypted and decrypted *** the RBFK ciphers with minimal computational complexity provide better security than recently proposed competing ciphers,these are suitable for IoT devices in an edge computing environment.

关键词： Avalanche effects Block ciphers Butterfly architecture Edge computing FELICS IoT Lightweight cryptosystems MATLAB

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Fault Detection and Fault Location in Transmission Line

Fault Detection and Fault Location in Transmission Line

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作者： rana sohel 昆明理工大学

学位级别：硕士

由于各种随机原因,在其他电力系统组件之间的传输线遭受意外故障。这些故障会中断电力系统运行的可靠性当发生不可预测的故障时,需要保护系统以防止这些故障的传播并保护系统免受由它们引起的异常操作。这些保护系统的功能是检测和分类... 详细信息

由于各种随机原因,在其他电力系统组件之间的传输线遭受意外故障。这些故障会中断电力系统运行的可靠性当发生不可预测的故障时,需要保护系统以防止这些故障的传播并保护系统免受由它们引起的异常操作。这些保护系统的功能是检测和分类故障,并在检测到电压和/或电流线路的大小时检测故障线路的位置。一旦检测到故障并进行分类,保护继电器就会向断路器发送跳闸信号,以断开(隔离)故障线路。随着电力系统需求的变化和日益复杂化,提出了提高电力系统可靠性保护和故障定位的新要求。随着电力系统故障的发生,传统的基于距离继电器的输电线路保护方法越来越受到重视。有不同类型的开关瞬态产生。例如,在50赫兹(工频)下,由系统中LC元件的谐振引起的较高频率,以及由雷电浪涌引起的非常高的频率瞬变。这些瞬变的幅度和延迟率取决于许多因素,例如故障位置,故障类型,系统参数等。这些瞬变使得难以定义总线电压和线电流之间的关系。很多时候,传统的保护方法无法准确运行。人工神经网络(ANN)可以提供用于检测电力系统故障的新颖解决方案。ANN可以作为一种强大的工具,作为准确有效地解决问题的替代方法。神经网络的特性,例如它们的学习,泛化和并行处理能力,使它们的应用程序成为许多系统的理想选择。使用神经网络作为模式分类器是其最常见和最强大的应用程序之一。

关键词：输电线路人工神经网络继电保护

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