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Zoonotic human liver flukes, a type 1 biocarcinogen, in freshwater fishes: genetic analysis and confirmation of molluscan vectors and reservoir hosts in Bangladesh

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贫困所致传染病(英文) 2024年第3期13卷 1-16页

作者： Labony Sharmin Shahid Alim Md. Abdul Hasan muhammad Mehedi hossain Md. Shahadat Akter Sharmin Paul Joydeep Farjana Thahsin Ali Md. Haydar Alam Mohammad Zahangir Hatta Takeshi Kawada Hayato Mizutani Keiko Tsuji Naotoshi Anisuzzaman Department of Parasitology Faculty of Veterinary Science Bangladesh Agricultural University Mymensingh Bangladesh Department of Fisheries Technology Faculty of Fisheries Bangladesh Agricultural University Mymensingh Bangladesh Department of Biotechnology School of Life Sciences &amp Biotechnology Adamas University Barasat - Barrackpore Rd Jagannathpur Kolkata West Bengal India Department of Pathology and Parasitology Hajee Mohammad Danesh Science and Technology University Dinajpur Bangladesh Department of Parasitology and Tropical Medicine Kitasato University School of Medicine-15-Kitasato Minami Sagamihara Kanagawa-0374 Japan Department of Molecular and Cellular Parasitology Kitasato University Graduate School of Medical Sciences-15-Kitasato Minami Sagamihara Kanagawa-0373 Japan

Background Opisthorchiid flukes, particularlyOpisthorchis viverrini,Opisthorchis felineus,Clonorchis sinensis, andMetorchis spp. are the most common fish-borne zoonotic human liver flukes (hLFs). Liver fluke infections are more prevalent in resource-deprived and underprivileged areas. We herein estimated the prevalence of the metacercariae (MC) of major hLFs in common large freshwater fishes (lFWF) marketed for human consumption from some selected areas of Bangladesh along with detection of their molluscan vectors and *** The current status of fish-borne zoonotic hLF infections in lFWF was investigated along with their molluscan vectors and mammalian reservoir hosts in Mymensingh and Kishoreganj in Bangladesh from July 2018–June 2022 using conventional and multiple molecular techniques, such as PCR, PCR-restriction fragment length polymorphism (RFLP), sequencing, and bioinformatic analyses. The infection rate of fishes was analyzed using theZ-test and the loads of MC were compared using the chi-squared (χ2) *** The MC ofC. sinensis,Opisthorchis spp., andMetorchis spp. were detected in 11 species of common and popular lFWF. In lFWF, the estimated prevalence was 18.7% and the mean load was 137.4 ± 149.8 MC per 100 g of fish. The prevalence was the highest (P 0.05) distributed between the head and body of fishes. The infection rate was slightly higher in cultured (19.6%) fishes. The MC ofC. sinensis,O. felineus,O. viverrini, andMetorchis orientalis in fishes were confirmed using PCR, PCR-RFLP and bioinformatics. The cercariae of opisthorchiid (Pleurolophocercus cercariae) flukes were only recovered fromBithynia spp. (3.9%, 42 out of 1089). The ova of hLFs from dogs (4.3%, 5 out of 116) and cats (6.0%, 6 out of 100), and adult flukes (***) from ducks

关键词： Human liver fluke Freshwater fish Molluscan vector Reservoir host Bangladesh

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Analyzing the Impact of Scene Transitions on Indoor Camera Localization through Scene Change Detection in Real-Time

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Intelligent Automation & Soft Computing 2024年第3期39卷 417-436页

作者： muhammad S.Alam Farhan B.Mohamed Ali Selamat Faruk Ahmed AKM B.hossain Department of Emergent Computing School of ComputingUniversiti Teknologi MalaysiaJohor Bahru81310Malaysia Malaysia-Japan International Institute of Technology(MJIIT) Universiti Teknologi MalaysiaKuala Lumpur54100Malaysia Media and Game Innovation Centre of Excellence(MaGICX) Universiti Teknologi MalaysiaJohor Bahru81310Malaysia Department of Engineering Technology University of MemphisMemphisTN38152USA Department of Computer Science and Artificial Intelligence College of Computing and Information TechnologyUniversity of BishaBisha61922Saudi Arabia School of Computing Faculty of EngineeringUniversiti Teknologi MalaysiaJohor Bahru81310Malaysia Department of Information System and Cyber Security College of Computing and Information TechnologyUniversity of BishaBisha61922Saudi Arabia

Real-time indoor camera localization is a significant problem in indoor robot navigation and surveillance *** scene can change during the image sequence and plays a vital role in the localization performance of robotic applications in terms of accuracy and *** research proposed a real-time indoor camera localization system based on a recurrent neural network that detects scene change during the image *** annotated image dataset trains the proposed system and predicts the camera pose in *** system mainly improved the localization performance of indoor cameras by more accurately predicting the camera *** also recognizes the scene changes during the sequence and evaluates the effects of these *** system achieved high accuracy and real-time *** scene change detection process was performed using visual rhythm and the proposed recurrent deep architecture,which performed camera pose prediction and scene change impact ***,this study proposed a novel real-time localization system for indoor cameras that detects scene changes and shows how they affect localization performance.

关键词： Camera pose estimation indoor camera localization real-time localization scene change detection simultaneous localization and mapping(SLAM)

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Comparison of Quasi-Static and Dynamic Compressive Response of E-Glass/Polyester-CNF Nanocomposites

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材料科学与工程（中英文B版） 2016年第1期6卷 14-29页

作者： Mohammad Kamal hossain muhammad enayet hossain Mahesh Hosur Shaik Jeelani Department of Mechanical Engineering Tuskegee University Tuskegee AL 36088 USA Department of Mechanical Engineering City College of City University of New York New York NY 10031 USA Department of Materials Science and Engineering Tuskegee University Tuskegee AL 36088 USA

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Recent Progress of Fabrication,Characterization,and Applications of Anodic Aluminum Oxide(AAO)Membrane:A Review

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Computer Modeling in Engineering & Sciences 2023年第5期135卷 1007-1052页

作者： Saher Manzoor muhammad Waseem Ashraf Shahzadi Tayyaba muhammad Imran Tariq MKhalid hossain Department of Physics(Electronics) GC UniversityLahore54000Pakistan Department of Computer Engineering The University of LahoreLahore54000Pakistan Department of Computer Science Superior UniversityLahore54000Pakistan Atomic Energy Research Establishment Bangladesh Atomic Energy CommissionDhaka1349Bangladesh

The progress of membrane technology with the development of membranes with controlled parameters led to porous *** membranes can be formed using different methods and have numerous applications in science and *** of aluminum in this aspect is an electro-synthetic process that changes the surface of the metal through oxidation to deliver an anodic oxide *** process results in a self-coordinated,exceptional cluster of round and hollow formed pores with controllable pore widths,periodicity,and *** in barrier type and porous type films,and different methods for the preparation of membranes,have been *** the initial introduction,the paper proceeds with a brief overview of anodizing *** engages anodic aluminum oxide(AAO)layers to be used as formats in various nanotechnology applications without the necessity for expensive lithographical *** review article surveys the current status of the investigation on AAO membranes.A comprehensive analysis is performed on AAO membranes in applications;filtration,sensors,drug delivery,template-assisted growth of various *** multiple usages in nanotechnology have also been discussed to gather nanomaterials and devices or unite theminto specific applications,such as nano-electronic gadgets,channel layers,and clinical platforms tissue *** this review,the fact that the specified enhancement of properties of AAO can be done by varying geometric parameters of AAO has been *** review paper focused on a detailed discussion of multiple applications of AAO with prospects and ***,it is a challenge for the research community to compare results reported in the *** paper provides tables for easy comparison of reported applications with membrane *** review paper represents the formation,properties,applications with objective consideration of the prospects and challenges of AAO applications

关键词： AAO membranes anodization template assisted growth filtration sensors drug delivery

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A systematic review of machine learning techniques for cattle identification:Datasets,methods and future directions

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Artificial Intelligence in Agriculture 2022年第1期6卷 138-155页

作者： Md Ekramul hossain muhammad Ashad Kabir Lihong Zheng Dave L.Swain Shawn McGrath Jonathan Medway School of Computing Mathematics and EngineeringCharles Sturt UniversityBathurstNSW 2795Australia Gulbali Institute for Agriculture Water and EnvironmentCharles Sturt UniversityWagga WaggaNSW 2678Australia TerraCipher Pty.Ltd. Alton DownsQLD 4702Australia Fred Morley Centre School of Animal and Veterinary SciencesCharles Sturt UniversityWagga WaggaNSW 2678Australia Food Agility CRC Ltd SydneyNSW 2000Australia

Increased biosecurity and food safety requirements may increase demand for efficient traceability and identification systems of livestock in the supply *** advanced technologies of machine learning and computer vision have been applied in precision livestock management,including critical disease detection,vaccination,production management,tracking,and health *** paper offers a systematic literature review(SLR)of vision-based cattle *** specifically,this SLR is to identify and analyse the research related to cattle identification using Machine Learning(ML)and Deep Learning(DL).This study retrieved 731 studies from four online scholarly ***-five articles were subsequently selected and investigated in *** the two main applications of cattle detection and cattle identification,all the ML based papers only solve cattle identification ***,both detection and identification problems were studied in the DL based *** on our survey report,the most used ML models for cattle identification were support vector machine(SVM),k-nearest neighbour(KNN),and artificial neural network(ANN).Convolutional neural network(CNN),residual network(ResNet),Inception,You Only Look Once(YOLO),and Faster R-CNN were popular DL models in the selected *** these papers,the most distinguishing features were the muzzle prints and coat patterns of *** binary pattern(LBP),speeded up robust features(SURF),scaleinvariant feature transform(SIFT),and Inception or CNN were identified as the most used feature extraction *** paper details important factors to consider when choosing a technique or *** also identified major challenges in cattle *** are few publicly available datasets,and the quality of those datasets are affected by the wild environment and movement while collecting *** processing time is a critical factor for a real-time cattle identification ***,a recommendati

关键词： Cattle identification Cattle detection Machine learning Deep learning Cattle farming

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Nanophotonic-structured front contact for high-performance perovskite solar cells

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Science China Materials 2022年第7期65卷 1727-1740页

作者： Md.Akhtaruzzaman Mohammad Ismail hossain Mohammad Aminul Islam Md.Shahiduzzaman Ghulam muhammad A.K.Mahmud Hasan Yuen Hong Tsang Kamaruzzaman Sopian Solar Energy Research Institute(SERI) Universiti Kebangsaan Malaysia43600 BangiSelangorMalaysia Department of Applied Physics Hong Kong Polytechnic University(PolyU)KowloonHong KongChina Centre for Integrated Systems Engineering and Advanced Technologies(Integra) Faculty of Engineering and Built EnvironmentUniversiti Kebangsaan Malaysia(UKM)43600 BangiSelangorMalaysia Graduate School of Pure and Applied Sciences University of TsukubaTsukubaIbaraki 305-8573Japan Department of Electrical Engineering Faculty of EngineeringUniversity of MalayaJalan Universiti50603 Kuala LumpurSelangorMalaysia Nanomaterials Research Institute(NanoMaRi) Kanazawa UniversityKakumaKanazawa 920-1192Japan Department of Computer Engineering College of Computer and Information SciencesKing Saud University11543 RiyadhSaudi Arabia Department of Electrical and Computer Engineering University of CaliforniaDavisCA 95616USA Institute of Sustainable Energy Universiti Tenaga Nasional(@The National Energy University)Jalan IKRAM-UNITEN43000 KajangSelangorMalaysia

We report the design of a nanophotonic metaloxide front contact aimed at perovskite solar cells(PSCs)to enhance optoelectronic properties and device stability in the presence of ultraviolet(UV)***-quality Cr-doped ZnO film was prepared by industrially feasible magnetron sputter deposition for the electron transport layer of *** a means,the influence of the Cr content on the film and device was systematically ***-depth device optics and electrical effects were studied using advanced three-dimensional opto-electrical multiphysics rigorous simulations,optimizing the front contact for realizing high *** numerical simulation was validated by fabricating PSCs optimized to reach high performance,energy conversion efficiency(ECE)=17.3%,open-circuit voltage(V_(OC))=1.08 V,short-circuit current density(J_(SC))=21.1 mA cm^(-2),and fillfactor(FF)=76%.Finally,a realistic front contact of nanophotonic architecture was proposed while improving broadband light absorption of the solar spectrum and light harvesting,resulting in enhanced quantum efficiency(QE).The nanophotonic PSC enables J_(SC)improvement by~17%while reducing the reflection by 12%,resulting in an estimated conversion efficiency over 23%.It is further demonstrated how the PSCs’UV-stability can be improved without considerably sacrificing optoelectronic *** of nanophotonic designed ZnO:Cr front contact,PSCs device,and fabrication process are described.

关键词： ZnO:Cr front contact magnetron sputtering perovskite solar cells UV stability optics and electrical effects

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Milestones of Wireless Communication Networks and Technology Prospect of Next Generation(6G)

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Computers, Materials & Continua 2022年第6期71卷 4803-4818页

作者： Mohammed H.Alsharif Md.Sanwar hossain Abu Jahid muhammad Asghar Khan Bong Jun Choi Samih M.Mostafa Department of Electrical Engineering College of Electronics and Information EngineeringSejong University209 Neungdong-roGwangjin-guSeoul05006Korea Department of Electrical and Electronic Engineering Bangladesh University of Business and TechnologyDhaka1216Bangladesh Department of Electrical&Computer Engineering University of OttawaOttawaON K1N 6N5Canada Department of Electrical Engineering Hamdard University KarachiIslamabad CampusIslamabad44000Pakistan School of Computer Science and Engineering&School of Electronic Engineering Soongsil UniversitySeoulKorea Faculty of Computers and Information South Valley UniversityQena83523Egypt Academy of Scientific Research and Technology Cairo11516Egypt

Since around 1980,a new generation of wireless technology has arisen approximately every 10 ***-generation(1G)and secondgeneration(2G)began with voice and eventually introduced more and more data in third-generation(3G)and became highly popular in the fourthgeneration(4G).To increase the data rate along with low latency and mass connectivity the fifth-generation(5G)networks are being installed from ***,the 5G technology will not be able to fulfill the data demand at the end of this ***,it is expected that 6G communication networks will rise,providing better services through the implementation of new enabling technologies and allowing users to connect everywhere.6G technology would not be confined to cellular communications networks,but would also comply with non-terrestrial communication system requirements,such as satellite *** ultimate objectives of this work are to address the major challenges of the evolution of cellular communication networks and to discourse the recent growth of the industry based on the key scopes of application and *** main areas of research topics are summarized into(i)major 6G wireless networkmilestones;(ii)key performance indicators;(iii)future new applications;and(iv)potential fields of research,challenges,and open issues.

关键词： Wireless networks beyond 5G 6G communications terahertz frequency terahertz communications holographic calls

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IoT and Blockchain-Based Mask Surveillance System for COVID-19 Prevention Using Deep Learning

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Computers, Materials & Continua 2022年第7期72卷 2033-2053页

作者： Wahidur Rahman Naif Al Mudawi Abdulwahab Alazeb muhammad Minoar hossain Saima Siddique Tashfia MdTarequl Islam Shisir Mia Mohammad Motiur Rahman Department of Computer Science and Engineering Mawlana Bhashani Science and Technology UniversityTangailBangladesh Department of Computer Science Najran UniversityNajran55461Saudi Arabia

On the edge of the worldwide public health crisis,the COVID-19 disease has become a serious headache for its destructive nature on humanity *** a facial mask can be an effective possible solution to mitigate the spreading of the virus and reduce the death ***,wearing a face mask in public places such as shopping malls,hotels,restaurants,homes,and offices needs to be *** research work comes up with a solution of mask surveillance system utilizing the mechanism of modern computations like Deep Learning(DL),Internet of things(IoT),and *** absence or displacement of the mask will be identified with a raspberry pi,a camera module,and the operations of DL and Machine Learning(ML).The detected information will be sent to the cloud server with the mechanism of IoT for real-time data *** proposed model also includes a Blockchain-based architecture to secure the transactions of mask detection and create efficient data security,monitoring,and storage *** research further includes an IoT-based mask detection scheme with signal bulbs,alarms,and notifications in the *** find the efficacy of the proposed method,a set of experiments has been enumerated and *** research work finds the highest accuracy of 99.95%in the detection and classification of facial *** related experiments with IoT and Block-chain-based integration have also been performed and calculated the corresponding experimental data *** Scale(SUS)has been accomplished to check the satisfaction level of use and found the SUS score of 77%.Further,a comparison among existing solutions on three emergent technologies is included to track the significance of the proposed ***,the proposed system can be an efficient mask surveillance system for COVID-19 and workable in real-time mask detection and classification.

关键词： Internet of things(IoT) blockchain deep learning feature reduction surveillance system

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Drought Tolerance in Mung Bean is Associated with the Genotypic Divergence, Regulation of Proline, Photosynthetic Pigment and Water Relation

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Phyton-International Journal of Experimental Botany 2023年第3期92卷 955-981页

作者： Mohammad Rafiqul Islam Mohd Mostofa Kamal Mohammad Faruk hossain Jamil hossain Mohammad Golam Azam Mst Masuma Akhter MKamrul Hasan Ibrahim Al-Ashkar Khalid FAlmutairi Ayman EL Sabagh Md Atikur Rahman muhammad Aamir Iqbal Mohammad Sohidul Islam Agronomy Division Regional Agricultural Research StationBangladesh Agricultural Research Institute(BARI)Pabna6600Bangladesh Chief Research Scientist New Edge MicrobialsLtd.Albury2641Australia Horticulture Research Centre Regional Agricultural Research StationBangladesh Agricultural Research Institute(BARI)Pabna6600Bangladesh Pulses Research Centre BARIPabna6600Bangladesh Agronomy Division Bangladesh Wheat and Maize Research InstituteDinajpur5200Bangladesh Department of Agronomy Hajee Mohammad Danesh Science and Technology UniversityDinajpur5200Bangladesh Department of Plant Production College of Food and AgricultureKing Saud UniversityRiyadh11451Saudi Arabia Department of Agronomy Faculty of AgricultureKafrelsheikh UniversityKafrelsheikh33156Egypt Grassland and Forage Division National Institute of Animal ScienceRural Development AdministrationCheonan31000Korea Department of Agronomy Faculty of AgricultureUniversity of Poonch RawalakotRawalakot12350Pakistan Department of Genetics and Plant Breeding Faculty of AgricultureBangladesh Agricultural UniversityMymensingh2202Bangladesh

Drought is one of the critical conditions for the growth and productivity of many crops including mung bean(Vigna radiata ***).Screening of genotypes for variations is one of the suitable strategies for evaluating crop adaptability and global food *** this context,the study investigated the physiological and biochemical responses of four drought tolerant(BARI Mung-8,BMX-08010-2,BMX-010015,BMX-08009-7),and four drought sensitive(BARI Mung-1,BARI Mung-3,BU Mung-4,BMX-05001)mung bean genotypes under wellwatered(WW)and water deficit(WD)*** WW treatment maintained sufficient soil moisture(22%±0.5%,i.e.,30%deficit of available water)by regularly supplying ***,the WD treatment was maintained throughout the growing period,and water was applied when the wilting symptom *** drought tolerant(DT)genotypes BARI Mung-8,BMX-08010-2,BMX-010015,BMX-08009-7 showed a high level of proline accumulation(2.52–5.99 mg g^(−1) FW),photosynthetic pigment(total chlorophyll 2.96–3.27 mg g^(−1) FW at flowering stage,and 1.62–2.38 mg g^(−1) FW at pod developing stage),plant water relation attributes including relative water content(RWC)(82%–84%),water retention capacity(WRC)(12–14)as well as lower water saturation deficit(WSD)(19%–23%),and water uptake capacity(WUC)(2.58–2.89)under WD condition,which provided consequently higher relative seed *** indicate that the tolerant genotypes gained better physiobiochemical attributes and adaptability in response to drought ***,the genotype BMX-08010-2 showed superiority in terms of those physio-biochemical traits,susceptibility index(SSI)and stress tolerance index(STI)to other *** on the physiological and biochemical responses,the BMX-08010-2 was found to be a suitable genotype for sustaining yield under drought stress,and subsequently,it could be recommended for crop improvement through hybridization *** addition,the identified traits can be used as markers to ide

关键词： Mung bean drought proline chlorophyll water status stress tolerance

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Study on the Physical and Mechanical Properties of Al-Powder Reinforced Bioactive Glass: Ceramic Composite Material

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Advances in Materials Physics and Chemistry 2022年第2期12卷 19-32页

作者： muhammad Hafizur Rahman Khan Sazzad hossain Mohammad Maksudur Rahman Department of Physics International University of Business Agriculture and Technology Dhaka Bangladesh Department of Physics Jahangirnagar University Savar Dhaka Bangladesh

Glass-ceramic samples, having composition of SiO2-35, CaO-45, Na2O-10 and P2O5-10 in weight ratio were prepared through sintering route. Glass powder was reinforced by Al powder. The strength of glass-ceramic composite was found to be temperature dependent, and it varies with the addition of Al powder. Flexural strength increases with the increase of powder addition and sintering temperature, however, decreases with the increase of sintering time. There is an optimum temperature (>1100℃) above which flexural strength of all samples decreases. Bulk density changes to a higher value as the addition of Al-powder increases up to 3% by weight above which density decreases slowly. On the other hand, apparent porosity and water absorption decrease with the increase of percentage of Al powder added. Porosity and water absorption also showed a dependent characteristic on sintering time and sintering temperature.

关键词： Biomaterials Glass Ceramics Aluminum Powder Composite Material

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