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A Novel Deep Learning-Based Model for Classification of Wheat Gene Expression

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Computer Systems Science & Engineering 2024年第2期48卷 273-285页

作者： Amr Ismail WalidHamdy Aya MAl-Zoghby Wael AAwad Ahmed Ismail Ebada Yunyoung Nam Byeong-Gwon Kang Mohamed Abouhawwash Faculty of Science Port Said UniversityPort SaidEgypt Modern Academy for Computer Science and management Technology Cairo11742Egypt Faculty of Computers and Artificial Intelligence Damietta UniversityNew DamiettaEgypt department of ICT Convergence Soonchunhyang UniversityAsan31538South Korea department of Mathematics Faculty of ScienceMansoura UniversityMansoura35516Egypt department of Computational Mathematics Scienceand Engineering(CMSE)Michigan State UniversityEast LansingMI48824USA

Deep learning(DL)plays a critical role in processing and converting data into knowledge and *** technologies have been applied in a variety of applications,including image,video,and genome sequence *** deep learning the most widely utilized architecture is Convolutional Neural Networks(CNN)are taught discriminatory traits in a supervised *** comparison to other classic neural networks,CNN makes use of a limited number of artificial neurons,therefore it is ideal for the recognition and processing of wheat gene *** is an essential crop of cereals for people around the *** Genotypes identification has an impact on the possible development of many countries in the agricultural *** quantitative genetics prediction of genetic values is a central *** is an allohexaploid(AABBDD)with three distinct *** sizes of the wheat genome are quite large compared to many other kinds and the availability of a diversity of genetic knowledge and normal structure at breeding lines of wheat,Therefore,genome sequence approaches based on techniques of Artificial Intelligence(AI)are *** paper focuses on using the Wheat genome sequence will assist wheat producers in making better use of their genetic resources and managing genetic variation in their breeding program,as well as propose a novel model based on deep learning for offering a fundamental overview of genomic prediction theory and current *** this paper,the hyperparameters of the network are optimized in the CNN to decrease the requirement for manual search and enhance network performance using a new proposed model built on an optimization algorithm and Convolutional Neural Networks(CNN).

关键词： Gene expression convolutional neural network optimization algorithm genomic prediction wheat

Correlates of Mistimed Pregnancy and Unmet Need for Family Planning among Women of Reproductive Age in Sandema, Ghana

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Advances in Reproductive Sciences 2024年第2期12卷 125-140页

作者： Elvis Junior Dun-Dery Elijah Yendaw Frederick Dun-Dery Lawrence Bagrmwin Menaal Kaushal department of Population and Health Research Research Web Africa Sunyani Ghana department of Governance and Development management Faculty of Planning and Land Management Simon Diedong Dombo University of Business and Integrated Development Studies Wa Ghana University of Calgary 2500 University Drive NW Calgary Alberta Canada Lambussie Polyclinic Ghana Health Service Lambusie Upper West Region Ghana department of Public Health Lekma Hospital Ghana Health Service Accra Ghana

Background: Globally, an estimated 80 million unintended pregnancies comprising both mistimed and unwanted pregnancies are recorded yearly. Yet only half of the women at risk of mistimed pregnancy use contraceptives. In developing countries, over 100 million females have unmet need, and national surveys in Ghana indicate 23% unmet need rate. Methods: Using a cross-sectional community-based approach, a sample size of 300 women of reproductive age were selected using multi-step cluster sampling techniques. The study was quantitative, using structured interviewer-administered questionnaires. Results: Two-third (66%) of the women in reproductive age still had unmet need, 71% were currently pregnant, and more than a third (36%) confirmed ever having a mistimed pregnancy. Fifty-three percent (53%) of the women confirmed never communicating with their partners on family planning issues, a little below half (45%) took their own health care decisions. Seventy nine percent (79%) ever received family planning services from a health professional. Factors related to unmet needs included mistimed pregnancy, level of education, preferred birth/pregnancy interval, communication between partners and the autonomy to spend self-earnings. Conclusion: Considering that high rates of unmet need results in mistimed pregnancy, improved policies around the influence of unmet need on mistimed pregnancies are needed.

关键词： Contraception Family Planning Mistimed Pregnancy Ghana Unintended Pregnancy

Comparison of Ontario’s roundwood and recycled fibre pulp and paper mills’performance using data Envelopment analysis

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Journal of management Analytics 2021年第2期8卷 222-251页

作者： Shashi K.Shahi Mohamed Dia Supply Chain and operations management Research Group in operations Analytics and Decision SciencesDepartment of Finance and OperationsFaculty of ManagementLaurentian UniversitySudburyONP3E 2C6Canada quantitative Methods and operations management Research Group in OperationsAnalytics and Decision SciencesDepartment of Finance and OperationsFaculty of ManagementLaurentian UniversitySudburyONCanada

The pulp and paper industry converts roundwood and recycled fibre,collected from wastepaper into printing and writing papers,and other specialty grades of *** pulp and paper mills in Ontario have been facing extreme competitive pressures,which have affected their performance leading to several mill *** purpose of this study is to evaluate and compare the relative performance of three types of Ontario’s pulp and paper mills(using all fibre,only roundwood fibre,and only recycled fibre).This study uses bootstrap data envelopment analysis in analyzing and comparing the operational efficiency of the Ontario’s pulp and paper mills,with 224 sample data observations over a period of 17 *** results indicate low levels of overall technical and managerial efficiencies in the pulp and paper mills using recycled *** results of the study highlight that the pulp and paper industry needs to divert their attention to streamlining the manufacturing processes,reducing costs,improving raw material usage,and making capital investments in the new and improved technology,in order to improve the operational efficiency and competitiveness of the Ontario’s pulp and paper *** pulp and paper mills using recycled fibre require huge capital investments,especially for installing the latest de-inking *** results of this study provide policy makers with detailed performance analysis so that future input resources can be reallocated to improve the performance of the pulp and paper mills in Ontario.

关键词： bootstrapping data envelopment analysis forest industry recycled fibre roundwood fibre technical efficiency Ontario Canada

eQTL studies: from bulk tissues to single cells

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Journal of Genetics and Genomics 2023年第12期50卷 925-933页

作者： Jingfei Zhang Hongyu Zhao Information Systems and operations management Emory UniversityAtlantaGA 30322USA department of Biostatistics Yale School of Public HealthNew HavenCT 208034USA

An expression quantitative trait locus (eQTL) is a chromosomal region where genetic variants are associated with the expression levels of specific genes that can be both nearby or distant. The identifications of eQTLs for different tissues, cell types, and contexts have led to a better understanding of the dynamic regulations of gene expressions and implications of functional genes and variants for complex traits and diseases. Although most eQTL studies have been performed on data collected from bulk tissues, recent studies have demonstrated the importance of cell-type-specific and context-dependent gene regulations in biological processes and disease mechanisms. In this review, we discuss statistical methods that have been developed to enable the detection of cell-type-specific and context-dependent eQTLs from bulk tissues, purified cell types, and single cells. We also discuss the limitations of the current methods and future research opportunities.

关键词： eQTL Bulk samples Single cell Tissues Cell-type-specific Context-dependent

Impact of Plastic Waste on the Human Health in Low-Income Countries: A Systematic Review

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Journal of Environmental Protection 2024年第5期15卷 572-595页

作者： Ramde Wendkoaghenda Sophie Gbandama Koffi Kouame Pacome Gansore Aminata Camara Kelety Tolno Barthélemy Assogba Ange Wenceslas Vinciale Niare Boubacar Patrice Ngangue Institute for Interdisciplinary Training and Research in Health Sciences and Education Ouagadougou Burkina Faso Regional Directorate of Health and Public Hygiene of South-Central Burkina Faso Ministry of Health Ouagadougou Burkina Faso department of Health Promotion and Education Ministry of Health and Public Hygi&#232ne Ouagadougou Burkina Faso department of Dermatology-Venorology Treichville University Hospital F&#233lix Houphou&#235t-Boigny University Abidjan C&#244te d&#8217Ivoire department of Infectious and Tropical Diseases Donka National Hospital Faculty of Health Sciences and Techniques Bamako Mali National AIDS Control Program PNLS Ministry of Health and Public Hygiene Abidjan C&#244te d&#8217Ivoire Marketing and Consumer Welfare Research Laboratory Abomey-Calavi University Cotonou Benin Regional Health Directorate of the District of Bamako Ministry of Health and Social Development Bamako Mali department of Family Medicine Faculty of Medicine and Odonto Stomatology University of Sciences Techniques and Technologies of Bamako Bamako Mali Faculty of Nursing Sciences Laval University Quebec Canada

Background: Plastic pollution is the accumulation of waste composed of plastic and its derivatives all over the environment. Whether in the form of visible garbage or microparticles, as it slowly degrades, plastic pollution poses significant threats to terrestrial and aquatic habitats and the wildlife that call them home, whether through ingestion, entanglement or exposure to the chemicals contained in the material. Unfortunately, there is a lack of documentation on the impact of plastic waste on human health in low- and middle-income countries (LMICs). Methods: We searched five electronic databases (PubMed, Embase, Global Health, CINAHL and Web of Science) and gray literature, following the preferred reporting elements for systematic reviews and meta-analyses (PRISMA), for the impact of plastic waste on human health in developing countries. We included quantitative and qualitative studies written in English and French. We assessed the quality of the included articles using the Mixed Methods Appraisal tool (MMAT). Results: A total of 3779 articles were initially identified by searching electronic databases. After eliminating duplicates, 3167 articles were reviewed based on title and abstract, and 26 were selected for full-text review. Only three articles were retained. The three articles dealt with practices likely to lead to oral exposure to plastic chemicals in human health, as well as the level of awareness of participants concerning the possible impact of plastic on human health, namely, the use of plastic baby bottles, the use of microwaves to cook food and reheat precooked food, the use of plastic bottles to store water in the refrigerator, water purifier containers with plastic bodies and plastic lunch boxes, the reuse of plastic bags and the inadequacy of treatment facilities. Conclusion: Plastic waste poses different risks to human health at every stage of its life cycle. Hence, strategies must be adopted to raise public awareness of the dangers of plastic

关键词： Human Population Plastic Waste Health Impact Low-Income-Countries (Humans Iatrogenic Disease Plastics Policy Recycling Waste management)

Predicting density log from well log using machine learning techniques and heuristic optimization algorithm:A comparative study

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Petroleum Research 2024年第2期9卷 176-192页

作者： Mehdi Rahmati Ghasem Zargar Abbas Ayatizadeh Tanha National Iranian Drilling Company Well Logging DepartmentAhwazIran Faculty Member of Petroleum University of Technology Iran department of Petroleum Engineering Tarbiat Modares UniversityTehranIran

In the petroleum industry,the analysis of petrophysical parameters is critical for efficient reservoir management,production optimization,development strategies,and accurate hydrocarbon reserve *** recent years,the integration of machine learning methodologies has revolutionized the field,addressing challenges in geology,geophysics,and petroleum engineering,even when confronted with limited or imperfect *** study focuses on the prediction of density logs,a pivotal factor in evaluating reservoir hydrocarbon *** is important to note that during well logging operations,log data for specific depths of interest may be missing or incorrect,presenting a significant *** tackle this issue,we employed the Adaptive Neuro-Fuzzy Inference System(ANFIS)and Artificial Neural Networks(ANN)in combination with advanced optimization algorithms,including Particle Swarm Optimization(PSO),Imperialist Competitive Algorithms(ICA),and Genetic Algorithms(GA).These methods exhibit promising performance in predicting density logs from gamma-ray,neutron,sonic,and photoelectric log ***,our results highlight that the Genetic Algorithms-based Artificial Neural Network(GA-ANN)approach outperforms all other methods,achieving an impressive Mean Squared Error(MSE)of *** comparison,ANFIS records an MSE of 0.0015,ICA-ANN 0.0090,PSO-ANN 0.0093,and ANN 0.0183.

关键词： Density log Machine learning approaches Artificial neural networks(ANN) Adaptive neuro-fuzzy inference system(ANFIS) Optimization algorithm

A Mathematical Approach for Generating a Highly Non-Linear Substitution Box Using Quadratic Fractional Transformation

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Computers, Materials & Continua 2023年第11期77卷 2565-2578页

作者： Abid Mahboob Muhammad Asif Rana Muhammad Zulqarnain Imran Saddique Hijaz Ahmad Sameh Askar department of Mathematics Division of Science and TechnologyUniversity of EducationLahorePakistan department of Mathematics University of Management and TechnologySialkot Campus51310Pakistan School of Mathematical Sciences Zhejiang Normal UniversityJinhua321004China department of Mathematics University of Management and TechnologyLahore54770Pakistan Section of Mathematics International Telematic University UninettunoCorso Vittorio Emanuele IIRoma39-00186Italy department of Statistics and operations Research College of ScienceKing Saud UniversityP.O.Box 2455Riyadh11451Saudi Arabia

Nowadays,one of the most important difficulties is the protection and privacy of confidential *** address these problems,numerous organizations rely on the use of cryptographic techniques to secure data from illegal activities and *** cryptographic ciphers use the non-linear component of block cipher to ensure the robust encryption process and lawful decoding of plain data during the decryption *** the designing of a secure substitution box(S-box),non-linearity(NL)which is an algebraic property of the S-box has great ***,the main focus of cryptographers is to achieve the S-box with a high value of *** this suggested study,an algebraic approach for the construction of 16×16 S-boxes is provided which is based on the fractional transformation Q(z)=1/α(z)^(m)+β(mod257)and finite *** technique is only applicable for the even number exponent in the range(2-254)that are not multiples of ***,we choose a quadratic fractional transformation,swap each missing element with repeating elements,and acquire the initial *** the second stage,a special permutation of the symmetric group S256 is utilized to construct the final S-box,which has a higher NL score of 112.75 than the Advanced Encryption Standard(AES)S-box and a lower linear probability score of *** addition,a tabular and graphical comparison of various algebraic features of the created S-box with many other S-boxes from the literature is provided which verifies that the created S-box has the ability and is good enough to withstand linear and differential *** different analyses,it is ensured that the proposed S-boxes are better than as compared to the existing *** these S-boxes can be utilized in the security of the image data and the text data.

关键词： Block cipher S-box data security fractional transformation

DEAHP Approach for Manpower Performance Evaluation

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Journal of the operations Research Society of China 2014年第3期2卷 317-332页

作者： Sanjeet Singh Remica Aggarwal operations Managemen department of management Birla Institute of Technology and SciencePilani 333031India

The manpower in an organization constitutes an important and essential *** personnel endowed with individual academic and managerial strengths in specific disciplines and personal capabilities,who can undertake a variety of marketing or research assignments,are needed in any organization as they substantially credit to its *** of rational techniques for capability assessment during recruitment of personnel is therefore *** techniques that are normally employed for decision making in identification of performance attributes including their weight assignments include techniques like Delphi and decision matrix,Analytic Hierarchy Process(AHP)*** converts qualitative opinion of experts into quantified values and generates a decision *** this paper,we have integrated Data Envelopment Analysis(DEA)to generate local weights of alternatives from pair-wise comparison of judgment matrix used in the AHP for a three attribute system for measuring performance of personnel at entry level of managerial *** expert judgments have been considered for weight determination of the ***,DEAHP(i.e.,combined DEAAHP approach)has been proposed in this paper as an alternative to the traditional methods of weight derivation in AHP.

关键词： DEA AHP MCDM Performance evaluation Linear programming

Optimization and operations Research in Mitigation of a Pandemic

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Journal of the operations Research Society of China 2022年第2期10卷 289-304页

作者： Cai-Hua Chen Yu-Hang Du Dong-Dong Ge Lin Lei Yin-Yu Ye School of management and Engineering Nanjing UniversityNanjing 210008JiangsuChina School of Information management and Engineering Shanghai University of Finance and EconomicsShanghai 200433China department of management Science and Engineering Stanford UniversityStanfordCA 9430USA

The pandemic of COVID-19 initiated in 2019 and spread all over the world in 2020 has caused significant damages to the human society,making troubles to all aspects of our daily *** the serious outbreak of the virus,we consider possible solutions from the perspectives of both governments and ***,this paper discusses several applications of supply chain management,public resource allocation,and pandemic prevention using optimization and machine learning *** useful insights in mitigating the pandemic and economy reopening are provided at the end of this *** insights might help governments to reduce the severity of the current pandemic and prevent the next round of *** may also improve companies'reactions to the increasing uncertainties appearing in the business *** the coronavirus imposes challenges to the entire society at the moment,we are confident to develop new techniques to prevent and eradicate the disease.

关键词： Pandemic Operation research Optimization Machine learning