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Genomic selection in plant breeding:Key factors shaping two decades of progress

Molecular Plant 2024年第4期17卷 552-578页

作者： Admas Alemu Johanna Astrand Osval A.Montesinos-López Julio Isidro y Sanchez Javier Fernandez-Gónzalez Wuletaw Tadesse Ramesh R.Vetukuri Anders S.Carlsson Alf Ceplitis JoséCrossa Rodomiro Ortiz aakash chawade Department of Plant Breeding Swedish University of Agricultural SciencesAlnarpSweden Lantmannen Lantbruk SvalövSweden Facultad de Telematica University de ColimaColimaColima 28040Mexico Centro de Biotecnología y Genómica de Plantas(CBGP UPM-INIA)Universidad Politécnica de Madrid(UPM)-Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria(INIA)Campus de Montegancedo-UPM28223 MadridSpain International Center for Agricultural Research in the Dry Areas(ICARDA) RabatMorocco International Maize and Wheat Improvement Center(CIMMYT) Km 45Carretera México-VeracruzTexcocoMéxico 52640Mexico

Genomic selection,the application of genomic prediction(GP)models to select candidate individuals,has significantly advanced in the past two decades,effectively accelerating genetic gains in plant *** article provides a holistic overview of key factors that have influenced GP in plant breeding during this *** delved into the pivotal roles of training population size and genetic diversity,and their relationship with the breeding population,in determining GP *** emphasis was placed on optimizing training population *** explored its benefits and the associated diminishing returns beyond an optimum *** was done while considering the balance between resource allocation and maximizing prediction accuracy through current optimization *** density and distribution of single-nucleotide polymorphisms,level of linkage disequilibrium,genetic complexity,trait heritability,statistical machine-learning methods,and non-additive effects are the other vital *** wheat,maize,and potato as examples,we summarize the effect of these factors on the accuracy of GP for various *** search for high accuracy in GP—theoretically reaching one when using the Pearson’s correlation as a metric—is an active research area as yet far from optimal for various *** hypothesize that with ultra-high sizes of genotypic and phenotypic datasets,effective training population optimization methods and support from other omics approaches(transcriptomics,metabolomics and proteomics)coupled with deep-learning algorithms could overcome the boundaries of current limitations to achieve the highest possible prediction accuracy,making genomic selection an effective tool in plant breeding.

关键词： genomic selection genetic gain genomic prediction optimization deep learning training population optimization

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Comprehensive review on ethnomedicinal, phytochemistry and pharmacological profile of Ficus Religiosa L.

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Journal of Traditional Chinese Medicine 2024年第5期44卷 1052-1057页

作者： Rahul Rawat Harish Kumar Neetu Singh aakash Deep Balasubramanian Narasimhan Surender Singh Yadav Sanjiv Kumar Department of Pharmaceutical Sciences Chaudhary Bansi Lal University Department of Botany Maharshi Dayanand University Faculty of Pharmaceutical Sciences Maharshi Dayanand University

Ficus religiosa L.(F. religiosa) or sacred fig is a large perennial tree belonging to the family Moraceae or mulberry family. Though the tree has pan-tropical distribution but originally it is indigenous to the Indian subcontinent and Indochina region. Popularly the tree is named "Pepal or bodhi tree". Traditionally, it is practiced for the treatment of asthma, nose bleeding, heart disorders, diabetes, wound healing, ear problems, constipation, hyperlipidemia, gonorrhea, ulcers and infectious disorders. Chemical analysis demonstrated the presence of numerous bioactives including tannins, phenols, saponins, sugars, alkaloids, methionine, terpenoids, flavonoids, glycosides, proteins, separated amino acids, essential and volatile oils and steroids etc., which are probably responsible for its diverse pharmacological actions. The present work is an attempt to compile up-to-date comprehensive information on F. religiosa that covers its taxonomy, ethnomedicinal importance, phytochemistry, pharmacological attributes and clinical trials. Keeping in mind the various health attributes of F. religiosa, future research can be aimed at in-depth elucidation of the structure-function relationship and multifactorial signalings pathways.

关键词： Ficus religiosa clinical trials ethnomedicine health benefits pharmacology phytoconstituents

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Pharmacological potential of Manilkara zapota(L.)***(Sapodilla):a narrative review

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Journal of Traditional Chinese Medicine 2024年第2期44卷 403-407页

作者： Priyanka Sharma aakash Deep Harish Kumar Nitin Bansal Sanjiv Kumar Arun Davinder Kumar Department of Pharmaceutical Sciences Chaudhary Bansi Lal UniversityBhiwani 127021India Department of Pharmaceutical Sciences Maharishi Dayanand UniversityRohtak 124001India

Herbal medicine is safe and effective in treating various *** herbal medicine plays a tremendous role in treatment of various diseases and accompanying complications,hence herbal medicine requires remarkable attention in further research for the development of numerous active formulations for treatment of health *** plant needs special consideration for development and research of unidentified compound and characterization of novel active molecules that overcome multiple pathological *** genus Manilkara contains 135 plants around the *** overview discusses all the virtues of most important and commonly used plant Manilkara zapota(L.)***(***),also known as *** has various traditional beneficial effects in treatment of various diseases and disorders dating back to prehistoric times and used in ancient traditional system of herbal medicine.

关键词： herbal medicine Manilkara zapota phytoconstituents pharmacological activity review

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Migration of existing software systems to mobile computing platforms:a systematic mapping study

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Frontiers of Computer Science 2021年第2期15卷 13-37页

作者： Ibrahim ALSEADOON aakash AHMAD Adel ALKHALIL Khalid SULTAN College of Computer Science and Engineering University of Ha’ilHa’il2440Saudi Arabia College of Engineering and Applied Sciences American University of KuwaitSalmiya13034Kuwait

Mobile computing has fast emerged as a pervasive technology to replace the old computing paradigms with portable computation and context-aware *** software systems can be migrated(while preserving their data and logic)to mobile computing platforms that support portability,context-sensitivity,and enhanced *** recent years,some research and development efforts have focused on a systematic migration of existing software systems to mobile computing *** investigate the research state-of-the-art on the migration of existing software systems to mobile computing *** aim to analyze the progression and impacts of existing research,highlight challenges and solutions that reflect dimensions of emerging and futuristic *** followed evidence-based software engineering(EBSE)method to conduct a systematic mapping study(SMS)of the existing research that has progressed over more than a decade(25 studies published from 1996–2017).We have derived a taxonomical classification and a holistic mapping of the existing research to investigate its progress,impacts,and potential areas of futuristic research and *** SMS has identified three types of migration namely Static,Dynamic,and State-based Migration of existing software systems to mobile computing *** to mobile computing platforms enables existing software systems to achieve portability,context-sensitivity,and high ***,mobile systems may face some challenges such as resource poverty,data security,and *** emerging and futuristic research aims to support patterns and tool support to automate the migration *** results of this SMS can benefit researchers and practitioners-by highlighting challenges,solutions,and tools,etc.,-to conceptualize the state-of-the-art and futuristic trends that support migration of existing software to mobile computing.

关键词： evidence-based software engineering mapping study software evolution mobile computing

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Fluid resuscitation in acute pancreatitis

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World Journal of Gastroenterology 2014年第48期20卷 18092-18103页

作者： aakash Aggarwal Manish Manrai Rakesh Kochhar Department of Internal Medicine SUNY Upstate Syracuse NY 13210 United States Department of Gastroenterology Postgraduate Institute of Medical Education and Research Chandigarh 160012 India

Acute pancreatitis remains a clinical challenge, despite an exponential increase in our knowledge of its complex pathophysiological changes. Early fluid therapy is the cornerstone of treatment and is universally recommended; however, there is a lack of consensus regarding the type, rate, amount and end points of fluid replacement. Further confusion is added with the newer studies reporting better results with controlled fluid therapy. This review focuses on the pathophysiology of fluid depletion in acute pancreatitis, as well as the rationale for fluid replacement, the type, optimal amount, rate of infusion and monitoring of such patients. The basic goal of fluid epletion should be to prevent or minimize the systemic response to inflammatory markers. For this review, various studies and reviews were critically evaluated, along with authors’ recommendations, for predicted severe or severe pancreatitis based on the available evidence.

关键词： Acute pancreatitis Fluid resuscitation Aggressive fluid therapy Crystalloids Colloids

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Mining Patterns from Change Logs to Support Reuse-Driven Evolution of Software Architectures

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Journal of Computer Science & Technology 2018年第6期33卷 1278-1306页

作者： aakash Ahlnad Claus Pahl Ahmed B. Altamimi Abdulrahman Alreshidi College of Computer Science and Engineering University of Ha'il Ha'il 2440 Saudi Arabia Faculty of Computer Science Free University of Bozen-Bolzano Bozen-Bolzano 39100 Italy

Modern software systems are subject to a continuous evolution under frequently varying requirements andchanges in systems＇ operational environments. Lehman＇s law of continuing change demands for long-living and continuouslyevolving software to prolong its productive life and economic value by accommodating changes in existing software. Reusableknowledge and practices have proven to be successful for continuous development and evolution of the software effectivelyand efficiently. However, challenges such as empirical acquisition and systematic application of the reusable knowledge andpractices must be addressed to enable or enhance software evolution. We investigate architecture change logs -- mininghistories of architecture-centric software evolution -- to discover change patterns that 1） support reusability of architecturalchanges and 2） enhance the efficiency of the architecture evolution process. We model architecture change logs as a graphand apply graph-based formalism （i.e., graph mining techniques） to discover software architecture change patterns. Wehave developed a prototype that enables tool-driven automation and user decision support during software evolution. Wehave used the ISO-IEC-9126 model to qualitatively evaluate the proposed solution. The evaluation results suggest that theproposed solution 1） enables the reusability of frequent architectural changes and 2） enhances the efficiency of architecture-centric software evolution process. The proposed solution promotes research efforts to exploit the history of architecturalchanges to empirically discover knowledge that can guide architecture-centric software evolution.

关键词： software architecture software maintenance and evolution evolution pattern repository mining

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A comprehensive review of the application of nano-silica in oil well cementing

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Petroleum 2020年第2期6卷 123-129页

作者： Akshar Thakkar aakash Raval Shishir Chandra Manan Shah Anirbid Sircar School of Petroleum Technology Pandit Deendayal Petroleum UniversityGandhinagar382007GujaratIndia

Oil and Gas Industry is a Multi-Billion Dollar *** a well is costly,right from exploration to drilling and production to Enhanced Oil Recovery(EOR).Nanotechnology has the potential to introduce revolutionary changes in several areas of the oil and gas industry,such as exploration,drilling,cementation,production,EOR,*** of Nanotechnology in the cement slurry can also achieve solutions to some of the problems pertaining to oil well ***-silica is a better alternative compared to conventional additives like calcium chloride and silica,because as compared to calcium chloride and silica,the amount of nano-silica to be added is very ***-silica acts as a multi-functional *** addition of nano-silica to cement slurry,there is a decrease in the thickening time,an increase in the compressive strength,decrease in porosity and permeability within the cement and also a decrease in the fluid *** of nano-silica ensures proper cementation and greater integrity of the ***-silica helps in decreasing the wait on cement(WOC)time and therefore reduces the overall capital ***-silica is highly recommended for deep offshore wells where high temperature and high pressure are often *** paper discusses the behavior of Nano-silica at high temperatures and also reviews effects of Nano-silica on various properties of cement.

关键词： Oil well cementing Nano-silica Thickening time Compressive strength

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ResTS: Residual Deep interpretable architecture for plant disease detection

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Information Processing in Agriculture 2022年第2期9卷 212-223页

作者： Dhruvil Shah Vishvesh Trivedi Vinay Sheth aakash Shah Uttam Chauhan Department of Computer Engineering Vishwakarma Government Engineering CollegeChandkhedaAhmedabad 382424GujaratIndia

Recently many methods have been induced for plant disease detection by the influence ofDeep Neural Networks in Computer Vision. However, the dearth of transparency in thesetypes of research makes their acquisition in the real-world scenario less approving. We propose an architecture named ResTS (Residual Teacher/Student) that can be used as visualization and a classification technique for diagnosis of the plant disease. ResTS is a tertiaryadaptation of formerly suggested Teacher/Student architecture. ResTS is grounded on aConvolutional Neural Network (CNN) structure that comprises two classifiers (ResTeacherand ResStudent) and a decoder. This architecture trains both the classifiers in a reciprocalmode and the conveyed representation between ResTeacher and ResStudent is used as aproxy to envision the dominant areas in the image for categorization. The experimentshave shown that the proposed structure ResTS (F1 score: 0.991) has surpassed the Teacher/Student architecture (F1 score: 0.972) and can yield finer visualizations of symptomsof the disease. Novel ResTS architecture incorporates the residual connections in all theconstituents and it executes batch normalization after each convolution operation whichis dissimilar to the formerly proposed Teacher/Student architecture for plant disease diagnosis. Residual connections in ResTS help in preserving the gradients and circumvent theproblem of vanishing or exploding gradients. In addition, batch normalization after eachconvolution operation aids in swift convergence and increased reliability. All test resultsare attained on the PlantVillage dataset comprising 54 306 images of 14 crop species.

关键词： Autoencoders Xception Deep Learning Computer Vision Agriculture

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Ethylene scavenging film based on corn starch-gum acacia impregnated with sepiolite clay and its effect on quality of fresh broccoli florets

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Food Bioscience 2022年第2期46卷 527-538页

作者： aakash Upadhyay Pardeep Kumar Saurabh Kumar Kardam Kirtiraj K.Gaikwad Department of Paper Technology Indian Institute of Technology RoorkeeRoorkeeUttarakhand247667India

Barley(Hordeum vulgare L.)grasses(BG)have attracted considerable interest due to their multiple physiological activities and health *** this paper,eight BG at four different growth stages were collected:seedling,tillering,stem elongation,and heading,and their product qualities and biological activities were examined and *** demonstrated that harvest time obviously influenced proximate composition,surface color,and amino acid profile.Z21 and Z23 harvested at the seedling and early tillering stages,respectively,had higher total phenolic content(TPC)and total flavonoid content(TFC)than the other ***,Z21 and Z23 possessed better DPPH radical-scavenging ability,antioxidant capacity,andα-glucosidase inhibitory activity,which were positively correlated with TPC,TFC,and protein and total amino acid *** findings suggested that the early tillering stages were the preferable harvest times for BG with good product quality and biological properties.

关键词： Ethylene scavenger Film Starch Sepiolite Fresh produce Active packaging

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An Intelligent Approach for Intrusion Detection in Industrial Control System

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Computers, Materials & Continua 2023年第11期77卷 2049-2078页

作者： Adel Alkhalil Abdulaziz Aljaloud Diaa Uliyan Mohammed Altameemi Magdy Abdelrhman Yaser Altameemi aakash Ahmad Romany Fouad Mansour Department of Information and Computer Science College of Computer Science and EngineeringUniversity of Ha’ilHa’il81481Saudi Arabia Applied College University of Ha’ilHa’il81481Saudi Arabia College of Education New Valley UniversityEl-Kharga72511Egypt College of Art University of Ha’ilHa’il81481Saudi Arabia School of Computing and Communications Lancaster UniversityLeipzig04109Germany College of Science New Valley UniversityEl-Kharga72511Egypt

Supervisory control and data acquisition(SCADA)systems are computer systems that gather and analyze real-time data,distributed control systems are specially designed automated control system that consists of geographically distributed control elements,and other smaller control systems such as programmable logic controllers are industrial solid-state computers that monitor inputs and outputs and make logic-based *** recent years,there has been a lot of focus on the security of industrial control *** to the advancement in information technologies,the risk of cyberattacks on industrial control system has been drastically *** they are so inextricably tied to human life,any damage to them might have devastating *** provide an efficient solution to such problems,this paper proposes a new approach to intrusion ***,the important features in the dataset are determined by the difference between the distribution of unlabeled and positive data which is deployed for the learning ***,a prior estimation of the class is proposed based on a support vector *** results show that the proposed approach has better anomaly detection performance than existing algorithms.

关键词： Industrial control system anomaly detection intrusion detection system protection

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