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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 *** diagno.is of rotating machines serves a main role in the engineering field and industrial production. Dueto the disadvantages of existing fault, diagno.is approaches, which greatly depend on professional experienceand human kno.ledge, intellectual fault diagno.is 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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Liver transplantation for colorectal liver metastasis:the exception,no. the rule

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Hepatobiliary Surgery and Nutrition 2024年第5期13卷 857-860页

作者： Diamantis I.Tsilimigras Anargyros Bakopoulos Timothy M.Pawlik1 Timothy M.Pawlik Department of Surgery Division of Surgical OncologyThe Ohio State UniversityWexner Medical Center and James Comprehensive Cancer CenterColumbusOHUSA Department of Surgery Laiko University HospitalNational and Kapodistrian University of AthensAthensGreece Department of Surgery Attikon University HospitalNational and Kapodistrian University of AthensAthensGreece

Approximately half of individuals diagno.ed with colorectal cancer(CRC)will develop colorectal liver metastasis(CRLM)during the course of their disease(1,2).Liver resection is the only potentially curative treatment for patients with CRLM,yet less than 20%of individuals are candidates for resection due to the extent or location of liver disease,underlying liver function and/or presence of extrahepatic metastases(1,2).In addition,the oncologic benefit of liver resection for CRLM is limited by recurrence rates than can be as high as 70%(3).Liver transplantation(LT)for CRLM was initially proposed as an alternative treatment strategy in the early 1990s but was abandoned due to the initial poor outcomes(3,4).The concept of transplantation for CRLM was later revisited in the 2000s by a group in Oslo,no.way that reported promising results in the SECA-I pilot study(5).Since the completion of the SECA-I study,the no.wegian group has also published other promising data from the SECA-II study(6).In addition,other no.able outcomes have been reported in the RAPID study(7),as well as ano.her study from specialized centers in no.th America(8),both of which have revitalized the concept of LT for CRLM.

关键词： Liver transplantation(LT) colorectal cancer(CRC) liver metastasis colorectal liver metastasis(CRLM)

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Geno.e-Wide Analysis for Yield-Related Agrono.ic and Biochemical Traits of Chinese and Bangladeshi Grass Pea Geno.ypes Using SSR Markers

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Phyton-International Journal of Experimental Botany 2024年第8期93卷 1781-1804页

作者： md.Mosiur Rahman md.Ruhul Quddus Quanle Xu Muhammad Malek Hossain Rong Liu Mengwei Li Xin Yan Guan Li Yishan Ji Chenyu Wang Ashutosh Sarker Tao Yang Xuxiao Zong md.Mono.r Hossain Saleh Alfarraj Mohammad Javed Ansari Sagar Maitra Akbar Hossain Institute of Crop Sciences Chinese Academy of Agricultural Sciences(CAAS)Beijing100081China Pulses Research Center Bangladesh Agricultural Research Institute(BARI)Gazipur1701Bangladesh Hybrid Rice Division Bangladesh Rice Research Institute(BRRI)Gazipur1701Bangladesh no.thwest Agriculture&Forestry University Yangling712199China International Center for Agricultural Research in the Dry Areas(ICARDA) New Delhi110012India Wheat Breeding Division Bangladesh Wheat and Maize Research InstituteDinajpur5200Bangladesh Zoology Department College of ScienceKing Saud UniversityRiyadh11451Saudi Arabia Department of Botany Hindu College Moradabad(Mahatma Jyotiba Phule Rohilkhand UniversityBareilly)Moradabad244001India Department of Agrono.y and Agroforestry Centurion University of Technology and ManagementOdisha761211India Soil Science Division Bangladesh Wheat and Maize Research InstituteDinajpur5200Bangladesh

Grass pea(Lathyrus sativus L.)is an imperative food crop cultured in dryland agricultural *** is a vital source of dietary protein to millions of populaces living in low-income countries in South-East Asia and *** study highlights the improvement of geno.ic properties and their application in marker-trait relationships for 17 yield-related characters in 400 grass pea geno.ypes from China and *** characters were assessed via 56 polymorphic markers using general linear model(GLM)(P+G+Q)and mixed linear model(MLM)(P+G+Q+K)in the tassel software based on the linkage disequilibrium and population structure *** structure analysis showed two major groups and one admixed group in the *** significant loci pairs of linkage disequilibrium(LD)mean value(D′)was 0.479.A total of 99 and 61 marker-trait associations in GLM and MLM models allied to the 17 traits were accepted at a 5%level of *** these markers,21 markers were associated with more than one trait;12 marker-trait associations passed the Bonferroni correction *** models found six markers C41936,C39067,C34100,C47146,C47638,and C43047 significantly associated with days to maturity,flower color,plant height,and seed per pod were detected in the Hebei and Liaoyang location(p≤0.01),and the interpretation rate(R^(2)value)11.2%to 43.6%.Conferring to the consequences,the association analysis methodology may operative system for quantitative,qualitative,and biochemical traits related to gene position mapping and support breeders in improving no.el approaches for advancing the grass pea quality.

关键词： Grass pea dryland agriculture geno.e-wide association yield contributing traits SSR markers

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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 Techno.ogy 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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Regeneration mechanisms and therapeutic strategies for neuromuscular junctions in aging and diseases

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Neural Regeneration Research 2025年第1期20卷 193-194页

作者： Masashi Fujitani Abu md Mamun Tarif Yoshino.i Otani Department of Anatomy and Neuroscience Faculty of MedicineShimane UniversityShimaneJapan

The neuromuscular junction(NMJ)is an essential synaptic structure composed of motor neurons,skeletal muscles,and glial cells that orchestrate the critical process of muscle contraction(Li et al.,2018).The typical NMJ structure is classically described as having a“pretzel-like”shape in mice(Figure 1),whereas human NMJs have a smaller,fragmented structure throughout *** NMJs exhibit smaller or fragmented endplates,partial denervation,reduced numbers of synaptic vesicles,abno.mal presynaptic mitochondria,and dysfunctional perisynaptic Schwann cells(Alhindi et al.,2022).

关键词： aging structure Figure

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Activation of cerebral Ras-related C3 botulinum toxin substrate(Rac) 1 promotes post-ischemic stroke functional recovery in aged mice

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Neural Regeneration Research 2024年第4期19卷 881-886页

作者： Fan Bu Jia-Wei Min md Abdur Razzaque Ahmad El Hamamy Anthony Patrizz Li Qi Akihiko Urayama Jun Li Department of Neurology University of Texas Health Science Center Department of Neurology&Psychology The Fourth Clinical Medical College of Guangzhou University of Chinese Medicine

Brain functional impairment after stroke is common;however,the molecular mechanisms of post-stroke recovery remain *** is well-recognized that age is the most important independent predictor of poor outcomes after stroke as older patients show poorer functional outcomes following *** evidence suggests that axonal regeneration and angiogenesis,the major forms of brain plasticity responsible for post-stroke recovery,diminished with advanced *** studies suggest that Ras-related C3 botulinum toxin substrate(Rac)1 enhances stroke recovery as activation of Rac1 improved behavior recovery in a young mice stroke ***,we investigated the role of Rac1 signaling in long-term functional recovery and brain plasticity in an aged(male,18 to 22 months old C57BL/6J)brain after ischemic *** found that as mice aged,Rac1 expression declined in the *** overexpression of Rac1,using lentivirus encoding Rac1 injected day 1 after ischemic stroke,promoted cognitive(assessed using no.el object recognition test)and sensorimotor(assessed using adhesive removal tests)recovery on days 14–*** was accompanied by the increase of neurite and proliferative endothelial cells in the periinfarct zone assessed by *** a reverse approach,pharmacological inhibition of Rac1 by intraperitoneal injection of Rac1 inhibitor NSC23766 for 14 successive days after ischemic stroke worsened the outcome with the reduction of neurite and proliferative endothelial ***,Rac1 inhibition reduced the activation of p21-activated kinase 1,the protein level of brain-derived neurotrophic factor,and increased the protein level of glial fibrillary acidic protein in the ischemic brain on day 28 after *** work provided insight into the mechanisms behind the diminished plasticity after cerebral ischemia in aged brains and identified Rac1 as a potential therapeutic target for improving functional recovery in the older adults after stroke.

关键词： aging angiogenesis brain-derived neurotrophic factor(BDNF) cerebral ischemia cognitive recovery neurite Pak1 Rac1 sensorimotor recovery

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Antino.iceptive Effect of Ethano.ic Extract of Codiaeum variegatum Leaves in Mice

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Pharmacology & Pharmacy 2024年第9期15卷 285-302页

作者： md. Asrafuzzaman Ambia Khatun md. Abdul Mannan Department of Pharmacy Stamford University Bangladesh Dhaka Bangladesh

Background: Codiaeum variegatum, sometimes called garden croton, is a tropical plant in the Euphorbiaceae family. Historically used to cure various conditions, including intestinal infections, fever, ulcers, wounds, and gono.rhea. This work aimed to investigate the antino.iceptive effects of ethano.ic extract of Codiaeum variegatum leaves (EECV) in animal models. Methods: Five different pain models—the hot plate, tail immersion, acetic acid-induced writhing, formalin, and glutamate-induced no.iception tests—were utilized to assess the antino.iceptive activity in mice. The traditional drugs such as diclofenac sodium (10 mg/kg, i.p.) and morphine sulphate (5 mg/kg). EECV was administered orally at varying doses of 100, 200, and 300 mg/kg (0.1 mL/mouse), while the control group was given deionized water. Results: The current study found that all mouse models of heat- and chemical-induced pain had robust EECV reflections of their antino.iceptive properties (*p Conclusions: The current finding offers a fresh perspective on the ethano.ic extract of Codiaeum variegatum leaves’ antino.iceptive properties in mice. This plant’s phytochemical analysis revealed the presence of triterpeno.ds, sterols, alkaloids, flavono.ds, and general glycosides, all of which may have antino.iceptive properties. More research on the mechanism of action and associated pharmacological studies, such as in vivo analysis, medication formulation, and clinical trials, is strongly advised.

关键词： Codiaeum variegatum Extract Phytochemistry Antino.iceptive

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以“千万工程”为指引打造“青农飞地”引育新农人助力乡村振兴

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中国共青团 2024年第7期 62-65页

作者： 1.团金华市委 2.团婺城区委团金华市委团婺城区委

习近平总书记在义乌李祖村考察调研时指出“乡村振兴为年轻人提供了展现才华的用武之地,希望更多的年轻人为乡村振兴发挥积极作用”。为深入学习贯彻习近平总书记关于实施乡村振兴战略的重要论述,共青团金华市委以“千万工程”为指引,... 详细信息

习近平总书记在义乌李祖村考察调研时指出“乡村振兴为年轻人提供了展现才华的用武之地,希望更多的年轻人为乡村振兴发挥积极作用”。为深入学习贯彻习近平总书记关于实施乡村振兴战略的重要论述,共青团金华市委以“千万工程”为指引,着力破解青年投身农创“不愿回、留不下、干不好”三个痛点、难点问题,率先在婺城区探索建设“青农飞地”省级共富试点,旨在建立政府主导、多方协同、市场化运作的青年农创枢纽平台,推动城乡之间各类创业资源和要素高效流通。

关键词：乡村振兴创业资源共富婺城区新农人飞地多方协同市场化运作

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科学流言榜

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百科知识 2024年第14期 33-36页

作者： 1.新华社 2.北京协和医院新华社北京协和医院

“每月科学流言榜”由北京市科学技术协会、北京市网信办、首都互联网协会指导，北京科技记者编辑协会、北京地区网站联合辟谣平台共同发布，得到中国科普作家协会科技传播专业委员会、中国晚报科学编辑记者学会、上海科技传播协会、北...

“每月科学流言榜”由北京市科学技术协会、北京市网信办、首都互联网协会指导，北京科技记者编辑协会、北京地区网站联合辟谣平台共同发布，得到中国科普作家协会科技传播专业委员会、中国晚报科学编辑记者学会、上海科技传播协会、北京市科学技术情报研究所的支持。

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Impacts of nuclear energy,greener energy,and econo.ic progress on the load capacity factor:What we learn from the leading nuclear power econo.ies?

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Geoscience Frontiers 2024年第3期15卷 322-335页

作者： Wei Teng md.Monirul Islam LászlóVasa Shujaat Abbas Umer Shahzad School of Business Qilu Institute of TechnologyJinan 250200ShandongChina Graduate School of Econo.ics and Management(GSEM) Ural Federal University(UrFU)YekaterinburgRussia Bangladesh Institute of Governance and Management(BIGM) University of DhakaBangladesh Széchenyi Istvàn University Faculty of EconomicsHungary School of Econo.ics Széchenyi Istvàn UniversityGyorHungary Department of Trade and Finance Faculty of Economics and ManagementCzech University of Life Sciences PragueCzech Republic Adnan Kassar School of Business Lebanese American UniversityBeirutLebanon

The worldwide tremor of environmental degradation commonly represents the escalation of emissions levels and ecological footprints that harm the planet’s *** is because of using gigantic no.-renewable energy resources,urbanization stream and massive econo.ic activities in the major industrialized *** this situation,we investigate the influence of disaggregated energy measures,e.g.,renewable,and nuclear energy,income growth and urbanization on the load capacity factor(biocapacity divided by the ecological footprint)of major nuclear power countries,such as France,the usa,Canada,China,and Russia during *** this end,we utilize the CS-ARDL procedure because of the endogeneity,common correlation,no.-stationarity in data and heterogeneity in panel *** contribute to considering the supply side dynamic of environmental degradation parameter,the load capacity,from the perspective of the top nuclear power nations that deviates our analysis from the prevailing scholarly ***,our findings confirm a significantly positive impact of renewable and nuclear energy on the load capacity factor in improving environmental ***,econo.ic growth and urbanization negatively affect the load capacity dynamics in spurring environmental *** findings are robust across an alternative estimation technique,namely the Dumitrescu and Hurlin(DH)causation ***,we recommend formulating pragmatic policies to deter the detrimental effects of income and urbanization by properly utilizing sustainable energy resources to conserve the natural environment.

关键词： Renewable energy Econo.ic growth Urbanization Load capacity Environmental degradation Top nuclear power countries

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