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Fabrication of La,Ce co-doped ZnO nanorods for improving photodegradation of methylene blue

Journal of Rare Earths 2024年第1期42卷 76-83,I0003页

作者： Erfan Hakim Azmal Zaid Jin-Chung Sin Sze-Mun Lam Abdul rahman Mohamed School of Chemical Engineering Universiti Sains Malaysia(USM)14300Nibong TebalPenangMalaysia College of Environmental Science and Engineering Guilin University of TechnologyGuilin541004China Guangxi Key Laboratory of Theory and Technology for Environmental Pollution Control Guilin University of TechnologyGuilin541004China Collaborative Innovation Center for Water Pollution Control and Water Safety in Karst Area Guilin University of TechnologyGuilin541004China Faculty of Engineering and Green Technology Universiti Tunku Abdul RahmanJalan UniversitiBandar Barat31900KamparPerakMalaysia

La,Ce co-doped ZnO nanorods(ZnLC)were synthesized through a one-step solvothermal *** photocatalysts were characterized by X-ray diffraction,Raman spectroscopy,field-emission scanning electron microscopy,energy dispersive X-ray,transmission electron microscopy,UV-vis diffuse reflectance spectroscopy and photo luminescence *** La and Ce doping enhanced the visible light absorption ability of ZnLC and a red shift was detected for *** simulated solar light irradiation,the ZnO doped with 3 at%La and 1 at%Ce(ZnLC1)degrades methylene blue(MB)more effectively than those of pure ZnO,La-doped ZnO(ZnL)and commercially available *** improved photocatalytic performance of ZnLC1 can be attributed to the high charge separation efficiency as demonstrated by the photoluminescence ***,the photocatalytic experiments reveal that several parameters have their own impact on the MB *** a variety of radical scavengers,it is discovered that superoxide anion radical plays a crucial role in the degradation of *** ZnLC1 is also reused several times without noticeable decrease of photoactivity,indicating that it has a substantial potential for environmental remediation applications.

关键词： ZnO Lanthanum Cerium Co-doping Photodegradation Rare earths

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Renewable Energy: Prospects and Challenges in Bangladesh

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Energy and Power Engineering 2024年第2期16卷 43-78页

作者： Abul Fattah Mohammad Masum Rabbani md. Masudur rahman Rahat Ahsan Habib md. Nazrul Islam Bangladesh Police Dhaka Bangladesh Department of Chemistry University of Dhaka Dhaka Bangladesh

Among expert scientists and politicians, there is increasing agreement that it is absolutely necessary to reduce the emission of greenhouse gas (GHG) to lessen the severity of climate change. Although little, renewable energy sources currently reduce GHG that are being emitted from the energy industries. According to the majority of long-term energy estimates, renewable energy will be a substantial addition to the supply of energy worldwide by the end of this century, as capacity of renewable energy is gradually increasing in the early decades. However, developing nations like Bangladesh are largely reliant on pricey imported energy supplies (coal, gas, and oil) that lay a heavy weight on the country’s economy. Also, air pollution growing in importance as a national and international environmental issue. Regarding the development of clean and sustainable energy, renewable energy sources seem to be among the most practical and efficient alternatives, in both Bangladesh and globally. The geographic advantages of Bangladesh allow for widespread usage of the majority of such renewable energy sources. The comparative potential and use of fossil fuels against renewable energy sources globally and in Bangladesh is explored in this review.

关键词： Renewable Energy Solar and Photovoltaics Hydropower Wind Energy Geothermal

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3DGE-UNet磁共振成像的脑胶质瘤全自动分割算法:对不充分全局特征提取的改进

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四川大学学报（医学版） 2024年第2期55卷 447-454页

作者：田恒屹王瑜计亚荣 rahman mdMostafizur 北京工商大学人工智能学院北京100048

目的脑胶质瘤及其子区域的全自动分割是计算机辅助肿瘤临床诊断的基础,卷积神经网络在脑部磁共振成像(magnetic resonance imaging, MRI)分割过程中,小卷积核只能提取局部特征而无法有效融合全局特征,缩小了对影像信息的感知范围,从而... 详细信息

目的脑胶质瘤及其子区域的全自动分割是计算机辅助肿瘤临床诊断的基础,卷积神经网络在脑部磁共振成像(magnetic resonance imaging, MRI)分割过程中,小卷积核只能提取局部特征而无法有效融合全局特征,缩小了对影像信息的感知范围,从而导致分割精度不足的问题。本研究旨在利用膨胀卷积,针对三维(three-dimensional, 3D)-UNet不能充分提取全局特征的问题进行改进。方法 (1)算法构建:本文提出一种带有三条全局上下文特征提取通路的3D-UNet模型,即3DGE-UNet模型。使用脑部肿瘤分割挑战赛(Brain Tumor Segmentation Challenge, BraTS)2019提供的公开数据集(335例患者),设计一种全局上下文特征提取(more global contextual feature extraction, GE)模块,并将该模块引入到3DUNet网络的第一、二、三条跳跃连接处,利用该模块充分提取图像的不同尺度全局特征,并与上采样得到的特征图叠加,扩大模型感受野,实现不同尺度特征的深层融合,从而完成端到端的脑肿瘤全自动分割。(2)算法验证:图像数据来源于BraTs2019数据集(335例患者术前MRI图像,包括T1、T1ce、T2和FLAIR四种模态图像和一张医生标注的肿瘤标签图像),将数据集分别按照8∶1∶1划分为训练集、验证集和测试集。以医生标注的肿瘤标签图像为金标准,使用Dice系数(综合评价有效性)、敏感度(病灶区域的查全率)和95%Hausdorff距离(肿瘤边界的分割精度)在测试集中评估算法对完整肿瘤区域(whole tumor, WT)、核心肿瘤区域(tumor core, TC)和增强肿瘤区域(enhancing tumor, ET)三种区域的分割性能,分别使用无GE模块的3D-UNet模型和有GE模块的3DGE-UNet模型进行检测,内部验证GE模块设置的有效性。使用3DGEUNet模型、ResUNet、UNet++、nnUNet、UNETR检测上述性能指标,并比较5种算法模型的收敛性,外部验证3DGEUNet模型的有效性。结果 (1)在内部验证中,改进的3DGE-UNet模型在测试集中分割WT、TC和ET区域的Dice均值分别为91.47%、87.14%和83.35%,与传统的3D-UNet模型相比(89.79%、85.13%和80.90%),综合评价达到了最优值,对于三个区域的分割精度都有提升(P<0.05)。3DGE-UNet模型与3D-UNet模型相比,ET区(86.46%vs. 80.77%)具有更高的敏感度(P<0.05),在查全率方面表现更为优越,在面对病灶区域时,3DGE-UNet模型更倾向于正确识别并捕获更全面的阳性区域,更为有效地避免漏诊发生。3DGE-UNet模型在肿瘤WT区域边缘分割的出色性能,其95%Hausdorff距离均值优于3DUNet模型(8.17 mm vs. 13.61 mm,P<0.05),但在TC区(8.73 mm vs. 7.47 mm)和ET区(6.21 mm vs. 5.45 mm)的性能表现与3DUNet模型相似。(2)在外部验证中,其余4种算法仅TC的Dice均值(87.25%)、WT的敏感度均值(94.59%)、TC的敏感度均值(86.98%)和ET的平均95%Hausdorff距离(5.37 mm)优于3DGE-UNet模型,但差异无统计学意义。3DGE-UNet模型可以在训练阶段快速收敛,速度优于其他外部模型。结论 3DGE-UNet模型可以有效地提取和融合不同尺度的特征信息,提高脑肿瘤分割的准确性。

关键词：脑胶质瘤核磁共振成像图像处理计算机辅助人工智能

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A Critical Review of Community Resilience Building Framework: Contexts of Climate Change and Disasters in Bangladesh

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Journal of Geoscience and Environment Protection 2024年第9期12卷 315-334页

作者： Abdul Alim Shaikh Mousumi Halder Muhammad Ramzan Ali Ruhul Amin md Saifur rahman md. Kamruzzaman Khulna University Khulna Bangladesh Climate Change Program Christian Commission for Development in Bangladesh (CCDB) Dhaka Bangladesh International Rescue Committee-UK Coxs Bazar Bangladesh Tropical and International Forestry Technical University Dresden Cotta Bau Pienner Strae 7 01737 Tharandt Germany Forestry and Wood Technology Discipline Khulna University Khulna Bangladesh

The concept of community resilience in the contexts of climate change and disasters draws increasing attention and interest from practitioners and researchers in recent development discourse. This paper provides a critical review of six selected frameworks of community resilience building operationalized in Bangladesh over the span of years. In other words, this study aims to contribute to the understanding of resilience through a systematic analysis of the dimensions and indicators of community resilience frameworks. The analysis shows that comprehensive and effective community resilience frameworks should incorporate the missing components linked to fundamental elements of good governance, economic growth, environmental sustainability, social transformation, and capacity development. The paper concludes by highlighting a few other areas of grave concern that need more appropriate attention, considering the severe threats posed by climate change and natural disasters in line with sustainable development goals. Finally, this study recommends further research regarding the effectiveness of these frameworks in different climatic and disaster contexts that can lead the concept into a new dimension of community resilience and sustainability.

关键词： Community Resilience Resilience Building Framework Resilience Indicators Climate Change Disaster Bangladesh

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Development of Framework for ACI-Powered Human Resource Recruitment Assistant

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Management Studies 2024年第3期12卷 182-187页

作者： md Jawadur rahman Gabriele M.Murry Stephanie Schmitt-Rüth OTH Amberg-Weiden AmbergGermany

The landscape of human resource management within large enterprises necessitates efficient and unbiased recruitment practices to ensure organisational effectiveness and foster diversity(Ayoko&Fujimoto,2023).Traditional hiring processes often create biases,which cause additional challenges in achieving proper objectives(Bogen,2021).According to Workable(***),the average time to fill a job requisition is 41 days(Howden,2023).This paper proposes a framework for the development and implementation of an Artificially Capable Intelligent(ACI)-powered Human Resource(HR)Assistant for large enterprises(possibly more than 300 employees)to eliminate these unnecessary challenges caused by biases in hiring practices,therefore directly addressing fair and just participation in society and the world of *** framework integrates ACI technologies,particularly candidate identification,to revolutionise HR *** leveraging ACI algorithms,the proposed hyper-realistic assistant aims to revolutionise the recruitment *** will significantly reduce the average time to fill job ***,the ACI-powered system is designed to mitigate biases inherent in traditional hiring practices,thus fostering a fair and inclusive environment for all candidates in the shortest possible time *** paper includes the key components and working processes of the ACI-powered HR Assistant *** a comprehensive theoretical analysis,the paper investigates the system’s working process and how the framework aligns with the goal of promoting a fair and participatory environment in the world of ***,the proposed framework represents a main step towards enhancing organisational effectiveness,fostering diversity,and advancing equitable recruitment practices in the futuristic workplace.

关键词： artificial capable intelligence human resource

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Mechanical and Electrical Properties of Some Sn-Zn Based Lead-Free Quinary Alloys

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Materials Sciences and Applications 2024年第7期15卷 213-227页

作者： Shihab Uddin md. Abdul Gafur Suraya Sabrin Soshi Mohammad Obaidur rahman Department of Physics Jahangirnagar University Savar Dhaka Bangladesh Pilot Plant and Process Development Centre Dhaka Bangladesh Department of Mechanical Engineering Ahsanullah University of Science and Technology Tejgaon Dhaka Bangladesh

Although there are many lead-free soldering alloys on the market, none of them have ideal qualities. The researchers are combining binary alloys with a variety of additional materials to create the soldering alloys’ features. The eutectic Sn-9Zn alloy is among them. This paper investigated the mechanical and electrical properties of Sn-9Zn-x (Ag, Cu, Sb);{x = 0.2, 0.4, and 0.6} lead-free solder alloys. The mechanical properties such as elastic modulus, ultimate tensile strength (UTS), yield strength (YS), and ductility were examined at the strain rates in a range from 4.17 10−3 s−1 to 208.5 10−3 s−1 at room temperature. It is found that increasing the content of the alloying elements and strain rate increases the elastic modulus, ultimate tensile strength, and yield strength while the ductility decreases. The electrical conductivity of the alloys is found to be a little smaller than that of the Sn-9Zn eutectic alloy.

关键词： Lead-Free Solder Strain Rate Ultimate Tensile Strength Ductility Electrical Conductivity

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Intelligent Vehicle for Urban Road Traffic Recognition System Using Deep Learning Algorithm

Intelligent Vehicle for Urban Road Traffic Recognition Syste...

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作者： ASHIKUR rahman MOHAMMAD 重庆交通大学

学位级别：硕士

城市道路的目标识别和监测技术是计算机视觉领域的关键研究途径,在日常生活中得到了广泛应用。人类探测作为主要焦点,具有独特的特征,将目标的典型属性与无与伦比的可变性相结合。因此,与行人检测和跟踪相关的技术挑战超过了普通目标所... 详细信息

城市道路的目标识别和监测技术是计算机视觉领域的关键研究途径,在日常生活中得到了广泛应用。人类探测作为主要焦点,具有独特的特征,将目标的典型属性与无与伦比的可变性相结合。因此,与行人检测和跟踪相关的技术挑战超过了普通目标所面临的挑战,这使得这一主题变得特别复杂和苛刻。对这一主题的探索不仅具有科学研究意义,而且具有相当大的社会应用价值。智能汽车技术的快速发展导致了解决城市道路交通复杂性的范式转变。本文介绍了新能源智能汽车领域内交通识别系统的一种开创性方法,利用最先进的深度学习算法。本研究强调YOLO v8(You Only Look Once)和DETR(Detection Transformer)的融合,推动了物体检测的前沿,特别是在自动驾驶汽车的背景下。使用深度学习算法进行城市道路交通监测面临着一些挑战,包括高计算需求、实时处理要求、多样化和复杂的城市环境,以及对物体检测和分类的高精度要求。像Faster R-CNN这样的传统模型虽然准确,但计算密集且速度较慢,因此不太适合实时应用。DETR以其基于转换器的架构提供了稳健的特征提取,但可能会在速度和复杂性方面遇到困难。YOLO模型效率高、速度快,适用于实时检测,但它们可能会为速度牺牲一些准确性。所提出的DETR-YOLO v8n融合模型旨在通过将DETR的鲁棒特征提取的优势与YOLO v8n的实时检测能力相结合来解决这些问题。这种融合利用注意力机制来突出相关特征,在不显著影响速度的情况下提高准确性。通过集成这些方法,DETR-YOLO v8n Fusion模型提供了一个平衡的解决方案,可以提高检测精度,保持实时处理,并有效地导航城市道路环境的复杂性,从而改善整体交通监控和管理。这项研究错综复杂地探索了YOLO v8的细微改进,展示了其在城市道路交通场景中的卓越性能。细化的锚盒预测细化了空间定位,而特征金字塔网络增强了模型在不同尺度上辨别物体的能力。先进的主干架构增强了特征提取,从而增强了网络的整体辨别能力。所提出的系统以YOLO v8和DETR的融合为基础,强调了其在复杂交通环境中显著提高新能源智能汽车安全性和有效性的潜力。这项研究不仅有助于新兴的智能交通解决方案领域,而且有助于不断完善自动驾驶汽车的目标检测机制。这些发现强调了接受YOLO v8进化改进的关键性,为追求智能和响应能力强的城市交通系统的先进识别系统树立了新的基准。近年来,深度学习的出现在计算机视觉方面取得了重大进展,特别是在目标检测精度方面。然而,深度模型的复杂性阻碍了检测速度的提高,再加上硬件需求的提高,从而阻碍了其对行人检测和跟踪的适用性。因此,本文对行人检测与跟踪进行了全面的研究。这项研究的高潮涉及对峰值响应和目标损失之间相关性的检查。在本文中,我们使用最新的YOLO v8升级了这三项改进,用于城市道路的交通监控。*** v8引入了精细的锚盒预测,增强了空间定位,以更精确地识别对象位置。这一改进对于智能汽车在复杂城市环境中的精确导航至关重要。2.在YOLO v8中引入特征金字塔网络解决了多尺度检测中的挑战。这种增强使该模型能够有效地识别和分类不同大小的对象,确保在不同的交通场景中具有强大的检测能力。*** v8的高级骨干架构提高了特征提取效率,捕捉了复杂的细节和上下文信息。这一改进提高了模型的鉴别力,特别是在具有挑战性的城市道路交通条件下,从而提高了物体检测任务的整体性能。在我之前的研究中,我使用Tensor Flow深度学习框架,来完成网络模型的设计与训练。为了验证本文提出模型的可行性与检测效果,将本文算法的检测实验结果与当前常见的目标检测算法进行对比分析,对比的算法包括SSD、YOLO V3和GANet(Guided Attention Net Work),在相同数据集进行对比,检测准确率结果如下:SSD模型的平均查准率为68.2%,YOLO V3网络模型的平均查准率为73.8%,GANet网络模型的平均查准率为76.8%:而本文采用的Faster R-CNN平均查准率为86.3%。由此可知,Faster R-CNN网络模型在城市道路目标检测准确.在智能汽车自动驾驶道路智能识别实验中,本文改进了DETR(Detection Transformer)网络结构,并与其他常见的识别算法,如Faster R-CNN、YOLO(You Only Look Once)和SSD(Single Shot Multi Box Detector)进行了对比。在我之前的研究中,它的结果如下,以评价指标的数据说明:(1)准确率(Precision):指模型检测到的物体中真实物体的比例。综合了测试集上的准确率结果,DETR网络达到了90%的准确率,超过了Faster R-CNN和YOL

关键词：深度学习 YOLOv8模型交通检测 DETR Faster R-CNN 自动驾驶

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Assessment of Physico-Chemical and Microbial Quality of Sugarcane Juice Sold by Street Vendors in Three Regions of Bangladesh

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Food and Nutrition Sciences 2024年第4期15卷 263-276页

作者： Nargis Akter Khan md. Murtaja Reza Linkon Munni Akter md. Alamgir Hossain md. Mahbubur rahman Tayeba Khan md. Abdul Alim md. Esrafil Department of Food Technology and Nutritional Science Mawlana Bhashani Science and Technology University Tangail Bangladesh Department of Biotechnology and Genetic Engineering Mawlana Bhashani Science and Technology University Tangail Bangladesh

Sugar cane juice is a popular refreshing drink in most part of Bangladesh. It has great taste and health benefits;also it is available most of the public places at reasonable prices which consumed by road side customers including general public, shopping personals, tourists, students. In our country, street vendors crushing sugarcane between roller crusher and sold without any heat treatment or preservative, also served with or without added ice and lemon juice. The study aimed to identify and compare the physico-chemical and microbial quality of sugarcane juice. The chemical qualities of juices including moisture, PH, ash, total soluble solid, total sugar, reducing sugar and titrable acidity were found slightly different in Mymensingh, Gazipur and Narayangonj areas. The highest and lowest value of moisture, ash, PH, total soluble solids, total sugar, reducing sugar and titrable acidity were found in 84.33% - 79.26% (Gazipur-Mymensingh), 0.57% - 0.04% (Mymensingh-Gazipur), 5.9 - 2.9 (Gazipur-Narayangonj), 17.48% - 4.98% (Mymensingh-Narayangonj), 21.9% - 6.56% (Mymensingh-Gazipur), 3.7 - 2.1 (Gazipur-Mymensingh) and 0.523% - 0.007% (Narayangonj-Gazipur) respectively. For microbiological analysis, the total viable count of sugar cane juice in Mymensingh, Gazipur and Narayangonj were ranged from 0.6 × 105 - 43.6 × 105 cfu/ml, 4.6 × 105 - 21.6 × 105 cfu/ml and 3.6 × 105 - 36.6 × 105 cfu/ml respectively, where the permitted value is 1.0 × 104 cfu/ml, whereas the total coliform count was ranged from 0.4 × 105 - 6.4 × 105 cfu/ml, 0.6 × 105 - 8.4 × 105 cfu/ml and 0.00 - 8.4 × 105 cfu/ml, where the permitted value is 100 cfu/ml and total fungal count was ranged from 5.5 × 105 - 56.5 × 105 cfu/ml, 21.5 × 105 - 54.5 × 105 cfu/ml and 32.5 × 105 - 68.5 × 105 cfu/

关键词： Sugarcane Street Vendors Microbial Quality Reducing Sugar

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Coupon-based Demand Response for Consumers Facing Flat-rate Retail Pricing

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CSEE Journal of Power and Energy Systems 2024年第5期10卷 1887-1900页

作者： Hongxun Hui Yi Ding Kaining Luan Tao Chen Yonghua Song Saifur rahman State Key Laboratory of Internet of Things for Smart City and the Department of Electrical and Computer Engineering University of MacaoMacao 999078China. College of Electrical Engineering Zhejiang UniversityHangzhou 310027China State Grid Jiangsu Electric Power Co. LTD.Nanjing 210000China School of Electrical Engineering Southeast UniversityNanjing 210096China Advanced Research Institute and Department of Electrical and Computer Engineering Virginia Polytechnic Institute and State UniversityVA 22203USA

Even though smart meters have been widely used in power systems around the world,many consumers are still finding it hard to participate in demand response(DR)due to flat-rate retail pricing *** address this issue,this paper proposes a coupon-based demand response(CDR)scheme to achieve equivalent dynamic retail prices to inspire consumers’inherent ***,a security-constrained unit commitment optimization model is developed in the day-ahead market to obtain coupon rewards,which are then broadcast to consumers to motivate them to reschedule their power consumption *** evaluate the adjustment value of consumers’power consumption,a collective utility function is proposed to formulate the relationship between power quantity and coupon *** this basis,the security-constrained economic dispatch model is developed in the intra-day market to reschedule generating units’output power according to real-time load demands and fluctuating renewable *** the operation interval,a settlement method is developed to quantify consumers’electricity fees and coupon benefits on a monthly *** proposed CDR scheme avoids real-time iterative bidding process and effectively decreases the difficulty of massive,small consumers participating in *** proposed CDR is implemented in a realistic DR project in China to verify consumers’energy cost and renewables’curtailment can both be decreased.

关键词： Coupons demand response flat-rate retail pricing renewable energies small consumers

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Predicting the Stitch Density of Finished Fabrics Using Weft Blended Grey Knit Fabrics

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Journal of Textile Science and Technology 2024年第3期10卷 51-63页

作者： Kazi md. Elias Mohammad Obaidur rahman H. M. Zakir Hossain Department of Physics Jahangirnagar University Savar Bangladesh Jute Textile Wing Bangladesh Jute Research Institute Dhaka Bangladesh

Stitch density is one of the critical quality parameters of knit fabrics. This parameter is closely related to other physical quality parameters like fabric weight, fabric tightness factor, fiber types, blend ratio, yarn diameter and linear density, and fabric structure. Selecting stitch density (wales per inch, course per inch) is essential to getting the appropriate fabric weight and desired quality. Usually, no rules or assumptions exist to get the desired stitch density in the finished fabric stage. Fifteen types of blended knit fabrics were prepared to conduct the study. The varying percentages of cotton, polyester, and elastane are incorporated in the blends. Regression analysis and regression ANOVA tests were done to predict the stitch density of finished fabrics. A suitable regression equation is established to get the desired results. The study also found that the stitch density value in the finished stage fabric decreases by approximately 15% compared to the stitch density in the grey fabric stage. This study will help the fabric manufacturers get the finished fabric stitch density in advance by utilizing the grey fabric stitch density data set. The author expects this research to benefit the knitting and dyeing industry, new researchers, and advanced researchers.

关键词： Wales per Inch Course per Inch Stitch Density Blended Knit Fabric

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