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Journal of Magnesium and Alloys 2024年第1期12卷 394-404页

作者： lokesh choudhary Parama Chakraborty Banerjee R.K.Singh Raman Derrek E.Lobo Christopher D.Easton Mainak Majumder Frank Witte Jörg F.Löffler Department of Mechanical and Aerospace Engineering Monash UniversityClayton CampusMelbourneVIC 3800Australia Department of Chemical and Biological Engineering Monash UniversityClayton CampusMelbourneVIC 3800Australia Nanoscale Science and Engineering Laboratory(NSEL) Bldg 37Monash UniversityClayton CampusMelbourneVIC 3800Australia CSIRO Materials Science and Engineering Bayview AvenueClaytonVIC 3168Australia Julius Wolff Institute and Berlin Brandenburg Center for Regenerative Therapies Charité–Universitätsmedizin BerlinAugustenburger Platz 113353 BerlinGermany Laboratory of Metal Physics and Technology Department of MaterialsETH Zurich8093 ZurichSwitzerland

Biodegradable implants are critical for regenerative orthopaedic procedures,but they may suffer from too fast corrosion in human-body *** necessitates the synthesis of a suitable coating that may improve the corrosion resistance of these implants without compromising their mechanical *** this study,an AZ91 magnesium alloy,as a representative for a biodegradable Mg implant material,was modified with a thin reduced graphene oxide(RGO)-calcium carbonate(CaCO_(3))composite *** analytical and in-vitro electrochemical characterization reveals that this coating significantly improves the corrosion resistance and mechanical integrity,and thus has the potential to greatly extend the related application field.

关键词： Graphene coating Biodegradable implant Hydroxyapatite Corrosion Magnesium alloy

Automatic area estimation of algal blooms in water bodies from UAV images using texture analysis

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Water Science and Engineering 2024年第1期17卷 62-71页

作者： Ajmeria Rahul Gundu lokesh Siddhartha Goswami R.N.Ponnalagu Radhika Sudha Department of Electrical and Electronics Engineering Birla Institute of Technology&SciencePilani Hyderabad CampusTelangana 500078India

Algal blooms,the spread of algae on the surface of water bodies,have adverse effects not only on aquatic ecosystems but also on human *** adverse effects of harmful algal blooms(HABs)necessitate a convenient solution for detection and *** aerial vehicles(UAVs)have recently emerged as a tool for algal bloom detection,efficiently providing on-demand images at high spatiotemporal *** study developed an image processing method for algal bloom area estimation from the aerial images(obtained from the internet)captured using *** a remote sensing method of HAB detection,analysis,and monitoring,a combination of histogram and texture analyses was used to efficiently estimate the area of *** features like entropy(using the Kullback-Leibler method)were emphasized with the aid of a gray-level co-occurrence *** results showed that the orthogonal images demonstrated fewer errors,and the morphological filter best detected algal blooms in real time,with a precision of 80%.This study provided efficient image processing approaches using on-board UAVs for HAB monitoring.

关键词： Algal bloom Image processing Texture analysis Histogram analysis Unmanned aerial vehicles

Exploring the effects of dietary inulin in rainbow trout fed a high‑starch,100%plant‑based diet

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Journal of Animal Science and Biotechnology 2024年第2期15卷 713-732页

作者： Raphaël Defaix Jep lokesh Laura Frohn Mickael Le Bechec Thierry Pigot Vincent Veron Anne Surget Sandra Biasutti Frederic Terrier Sandrine Skiba-Cassy Jerome Roy Stephane Panserat Karine Ricaud Universite de Pau Et Des Pays de L’Adour E2S UPPAINRAENUMEASaint‑Pee‑Sur‑NivelleFrance Universite de Pau Et Des Pays de L’Adour E2S UPPACNRSIMT Mines AlesIPREMPauFrance Universite de Pau Et Des Pays de L’Adour E2S UPPAIUT des Pays de l’AdourDepartement Genie BiologiqueMont de MarsanFrance.

Background High dietary carbohydrates can spare protein in rainbow trout(Oncorhynchus mykiss)but may affect growth and ***,a prebiotic,could have nutritional and metabolic effects,along with anti-inflammatory properties in teleosts,improving growth and *** tested this hypothesis in rainbow trout by feeding them a 100%plant-based diet,which is a viable alternative to fishmeal and fish oil in aquaculture *** a two-factor design,we examined the impact of inulin(2%)as well as the variation in the carbohydrates(CHO)/plant protein ratio on rainbow *** assessed the influence of these factors on zootechnical parameters,plasma metabolites,gut microbiota,production of short-chain fatty acids and lactic acid,as well as the expression of free-fatty acid receptor genes in the mid-intestine,intermediary liver metabolism,and immune markers in a 12-week feeding *** The use of 2%inulin did not significantly change the fish intestinal microbiota,but interestingly,the high CHO/protein ratio group showed a change in intestinal microbiota and in particular the beta diversity,with 21 bacterial genera affected,including Ralstonia,Bacillus,and 11 lactic-acid producing *** were higher levels of butyric,and valeric acid in groups fed with high CHO/protein diet but not with *** high CHO/protein group showed a decrease in the expression of pro-inflammatory cytokines(il1b,il8,and tnfa)in liver and a lower expression of the genes coding for tight-junction proteins in mid-intestine(tjp1a and tjp3).However,the 2%inulin did not modify the expression of plasma immune ***,inulin induced a negative effect on rainbow trout growth performance irrespective of the dietary *** With a 100%plant-based diet,inclusion of high levels of carbohydrates could be a promising way for fish nutrition in aquaculture through a protein sparing effect whereas the supplementation of 2%inulin does not appear to improve the use of CHO wh

关键词： Aquaculture Fish nutrition Gut microbiota Immune markers Intermediary metabolism Inulin Prebiotic Rainbow trout Short-chain fatty acids

Automatic Image Annotation Using Adaptive Convolutional Deep Learning Model

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Intelligent Automation & Soft Computing 2023年第4期36卷 481-497页

作者： R.Jayaraj S.lokesh Department of Computer Science and Engineering Hindusthan College of Engineering and TechnologyCoimbatore641032TamilnaduIndia Department of Computer Science and Engineering Hindusthan Institute of TechnologyCoimbatore641032TamilnaduIndia

Every day,websites and personal archives create more and more *** size of these archives is *** comfort of use of these huge digital image gatherings donates to their ***,not all of these folders deliver relevant indexing *** the outcomes,it is dif-ﬁcult to discover data that the user can be absorbed ***,in order to determine the signiﬁcance of the data,it is important to identify the contents in an informative *** annotation can be one of the greatest problematic domains in multimedia research and computer ***,in this paper,Adap-tive Convolutional Deep Learning Model(ACDLM)is developed for automatic image ***,the databases are collected from the open-source system which consists of some labelled images(for training phase)and some unlabeled images{Corel 5 K,MSRC v2}.After that,the images are sent to the pre-processing step such as colour space quantization and texture color class *** pre-processed images are sent to the segmentation approach for efﬁcient labelling technique using J-image segmentation(JSEG).Theﬁnal step is an auto-matic annotation using ACDLM which is a combination of Convolutional Neural Network(CNN)and Honey Badger Algorithm(HBA).Based on the proposed classiﬁer,the unlabeled images are *** proposed methodology is imple-mented in MATLAB and performance is evaluated by performance metrics such as accuracy,precision,recall and F1_*** the assistance of the pro-posed methodology,the unlabeled images are labelled.

关键词： Deep learning model J-image segmentation honey badger algorithm convolutional neural network image annotation

The ALMA-QUARKS Survey.Ⅰ.Survey Description and Data Reduction

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Research in Astronomy and Astrophysics 2024年第2期24卷 104-124页

作者：刘训川 Tie Liu Lei Zhu Guido Garay Hong-Li Liu Paul Goldsmith Neal Evans Kee-Tae Kim Sheng-Yuan Liu Fengwei Xu Xing Lu Anandmayee Tej Xiaofeng Mai Leonardo Bronfman Shanghuo Li Diego Mardones Amelia Stutz Ken'ichi Tatematsu Ke Wang Qizhou Zhang Sheng-Li Qin Jianwen Zhou Qiuyi Luo Siju Zhang Yu Cheng Jinhua He Qilao Gu Ziyang Li Zhenying Zhang Suinan Zhang Anindya Saha lokesh Dewangan Patricio Sanhueza Zhiqiang Shen Shanghai Astronomical Observatory Chinese Academy of SciencesShanghai 200030China Chinese Academy of Sciences South America Center for Astronomy National Astronomical ObservatoriesChinese Academy of SciencesBeijing 100101China Departamento de Astronomía Universidad de ChileLas Condes7591245 SantiagoChile School of Physics and Astronomy Yunnan UniversityKunming 650091China Jet Propulsion Laboratory California Institute of Technology4800 Oak Grove DrivePasadena CA 91109USA Department of Astronomy The University of Texas at AustinTX 78712-1205USA Korea Astronomy and Space Science Institute 776 Daedeokdae-roYuseong-guDaejeon 34055Republic of Korea Institute of Astronomy and Astrophysics Academia SinicaRoosevelt RoadTaipei 10617China Kavli Institute for Astronomy and Astrophysics Peking UniversityBeijing 100871China Department of Astronomy School of PhysicsPeking UniversityBeijing 100871China Indian Institute of Space Science and Technology Thiruvananthapuram 695547KeralaIndia Max Planck Institute for Astronomy Königstuhl 17D-69117 HeidelbergGermany Departamento de Astronomía Universidad de ConcepciónCasilla 160-CConcepciónChile Nobeyama Radio Observatory National Astronomical Observatory of JapanNational Institutes of Natural Sciences462-2 NobeyamaMinamimakiMinamisakuNagano 384-1305Japan Center for Astrophysics∣Harvard&Smithsonian 60 Garden StreetCambridgeMA 02138USA Max-Planck-Institut für Radioastronomie Auf dem Hügel 69D-53125 BonnGermany School of Astronomy and Space Sciences University of Chinese Academy of SciencesBeijing 100049China National Astronomical Observatory of Japan 2-21-1 OsawaMitakaTokyo181-8588Japan Yunnan Observatories Chinese Academy of SciencesKunming 650216China Physical Research Laboratory NavrangpuraAhmedabad-380009India Astronomical Science Program The Graduate University for Advanced StudiesSOKENDAI2-21-1 OsawaMitakaTokyo 181-8588Japan University of Science and Technology Korea(UST)217 Gajeong-roYuseong-guDaejeon 34113Republic o

This paper presents an overview of the QUARKS survey,which stands for Querying Underlying mechanisms of massive star formation with ALMA-Resolved gas Kinematics and Structures."The QUARKS survey is observing139 massive clumps covered by 156 pointings at Atacama Large Millimeter/submillimeter Array(ALMA)Band 6(λ~1.3 mm).In conjunction with data obtained from the ALMA-ATOMS survey at Band 3(λ~3 mm),QUARKS aims to carry out an unbiased statistical investigation of massive star formation process within protoclusters down to a scale of 1000 *** overview paper describes the observations and data reduction of the QUARKS survey,and gives a first look at an exemplar source,the mini-starburst Sgr B2(M).The wide-b and width(7.5 GHz)and high-angular-resolution(~0."3)observations of the QUARKS survey allow for the resolution of much more compact cores than those could be done by the ATOMS survey,and to detect previously unrevealed fainter filamentary *** spectral windows cover transitions of species including CO,SO,N_(2)D^(+),SiO,H_(30)α,H_(2)CO,CH_(3)CN,and many other complex organic molecules,tracing gas components with different temperatures and spatial *** aims to deepen our understanding of several scientific topics of massive star formation,such as the mass transport within protoclusters by(hub-)filamentary structures,the existence of massive starless cores,the physical and chemical properties of dense cores within protoclusters,and the feedback from already formed high-mass young protostars.

关键词： stars formation-stars kinematics and dynamics-ISM clouds-ISM molecules

PSO-DBNet for Peak-to-Average Power Ratio Reduction Using Deep Belief Network

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Computer Systems Science & Engineering 2023年第5期45卷 1483-1493页

作者： A.Jameer Basha M.Ramya Devi S.lokesh P.Sivaranjani D.Mansoor Hussain Venkat Padhy Department of Computer Science and Engineering Hindusthan Institute of TechnologyCoimbatore641032India Department of Computer Science and Engineering Hindusthan College of Engineering and TechnologyCoimbatore641032India Department of Electronics and Communication Engineering Kongu Engineering CollegeErode638060India Department of Computer Science and Engineering Sri Krishna College of Engineering and TechnologyCoimbatore641008India School of Computing Science&Engineering VIT Bhopal UniversityBhopal466114India

Data transmission through a wireless network has faced various signal problems in the past *** orthogonal frequency division multiplexing(OFDM)technique is widely accepted in multiple data transfer patterns at various frequency bands.A recent wireless communication network uses OFDM in longterm evolution(LTE)and 5G,among *** main problem faced by 5G wireless OFDM is distortion of transmission signals in the *** transmission loss is called peak-to-average power ratio(PAPR).This wireless signal distortion can be reduced using various *** study uses machine learning-based algorithm to solve the problem of PAPR in 5G wireless *** transmit sequence(PTS)helps in the fast transfer of data in wireless *** is merged with deep belief neural network(DBNet)for the efficient processing of signals in wireless 5G *** indicates that the proposed system outperforms other existing ***,PAPR reduction in OFDM by DBNet is optimized with the help of an evolutionary algorithm called particle swarm ***,the specified design supports in improving the proposed PAPR reduction architecture.

关键词： 5G wireless network orthogonal frequency division multiplexing signal distortion peak to average power ratio partial transmit sequence deep belief network

A controlled random gene perturbation method identifies ARPC1B gene as a key regulator of cancer metastasis

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Genes & Diseases 2023年第3期10卷 687-689页

作者： De Chang Hongzhen Du Xiaowei Chen Xiaocui Bian Wenjia Tian Jing Shen Yiju Wei Yunpeng Jiang Charles Dela Cruz Lixin Xie lokesh Sharma Kailong Li College of Pulmonary and Critical Care Medicine Chinese PLA General HospitalBeijing 100083China Institute of Basic Medical Sciences Chinese Academy of Medical SciencesSchool of Basic Medicine Peking Union Medical CollegeBeijing 100005China Section of Pulmonary and Critical Care and Sleep Medicine Department of MedicineYale University School of MedicineNew HavenCT 06520USA Department of Biochemistry and Biophysics Peking University Health Science CenterBeijing 100191China

The discovery of clinically useful targets to treat specific pathological conditions can provide novel therapeutic *** unbiasedly identify key genes related to tumor metastasis,we developed a random gene perturbation method using a piggyBac transposon system under the control of a doxycycline regulated *** this random gene perturbation method and utilizing a mouse model of metastatic pancreatic cancer,we identified genes dysregulated in metastasized cells from a random mutagenesis library after multiple rounds of in vivo *** of these metastasized clones revealed the downregulation of ARPC1B *** further mechanistic studies revealed that ARPC1B gene and its closely related gene ARPC1A worked in a regulatory loop to control tumor *** findings validate that piggyBac transposon mediated random gene perturbation is a powerful tool to investigate the functional relevance of novel genes and the ARPC1A/B axis is a potential key regulator of tumor metastasis.

关键词： metastasis cancer random

Biomarkers for Parkinson's Disease:Recent Advancement

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Neuroscience Bulletin 2017年第5期33卷 585-597页

作者： Sharvari Lotankar Kedar S Prabhavalkar lokesh K Bhatt Department of Pharmacology SVKM's Dr Bhanuben Nanavati College of PharmacyVile Parle(W)MumbaiIndia

As a multi-factorial degenerative disease, Parkinson＇s disease （PD） leads to tremor, gait rigidity, and hypokinesia, thus hampering normal living. As this disease is usually detected in the later stages when neurons have degenerated completely, cure is on hold, ultimately leading to death due to the lack of early diagnostic techniques. Thus, biomarkers are required to detect the disease in the early stages when prevention is possible. Various biomarkers providing early diagnosis of the disease include those of imaging, cerebrospinal fluid, oxidative stress, neuroprotection, and inflammation. Also, biomarkers, alone or in combination, are used in the diagnosis and evolution of PD. This review encompasses various biomarkers available for PD and discusses recent advances in their development.

关键词： Parkinson's disease· Imaging biomarkers ·Biochemical biomarkers - Clinical biomarkers Geneticbiomarkers

Bianchi Type Ⅰ String Dust Magnetized Cosmological Models in Lyra Geometry

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Communications in Theoretical Physics 2010年第7期54卷 197-202页

作者： Raj Bali Naresh K.Chandnani lokesh Kumar Gupta Department of Mathematics University of Rajasthan

我串的 Bianchi 类型当面清扫宇宙论的模型并且在天琴座几何学的框架工作的磁场的缺席被调查。得到宇宙的确定的模型，我们假设特征值(11 ) 砍张肌(ji ) 与扩大成正比() 。这导致 =(BC ) n 一， B， C 是公制的潜力， n 是一个常数。以... 详细信息

我串的 Bianchi 类型当面清扫宇宙论的模型并且在天琴座几何学的框架工作的磁场的缺席被调查。得到宇宙的确定的模型，我们假设特征值(11 ) 砍张肌(ji ) 与扩大成正比() 。这导致 =(BC ) n 一， B， C 是公制的潜力， n 是一个常数。以宇宙的时间 t 讨论结果，我们认为 n = 是 1。在模型的模型和奇特的物理、几何的方面也被讨论。

关键词：宇宙模型几何尘埃磁化确定性模型天琴座特征值

Drivers and barriers to energy-efficient technologies(EETs)in EU residential buildings

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能源与人工环境(英文) 2021年第3期2卷 290-301页

作者： Clara Camarasa lokesh Kumar Kalahasthi Leonardo Rosado Sustainable Building Group Chalmers University of TechnologyGothenburgSweden

To achieve carbon targets,the European Union(EU)aims to promote nearly zero-energy buildings(nZEB).To enable the necessary transition,technical solutions need to converge with socio-economic factors,such values and awareness of stakeholders involved in the decision-making *** this light,the aim of this paper is to characterise perceived drivers and barriers to nine energy-efficient technologies(EET),according to key decision-makers’and persuaders of the technology selection in the EU residential building *** are collected across eight EU countries,***(BE),Germany(DE),Spain(ES),France(FR),Italy(IT),Netherlands(NL),Poland(PL),and United Kingdom(UK).The stakeholders’selected are architects,construction companies,engineers,installers and demand-side *** from a multi-country survey is analysed to calculate the share of 15 drivers and 21 barriers(aggregated to 5 groups),being selected for each EET and *** 5 groups considered to analyse drivers and barriers are environmental,technical,economic,social,*** perceived barriers and drivers were further studied for their association across the countries using the Pearson’s Chi2 and a Cramer’s V *** results demonstrate that across all EETs and countries,the technical and economic driver groups are perceived to have the highest potential to increase the implementation rate of *** terms of barriers,economic aspects are seen as the foremost reason that EET are not scaling *** both drivers and barriers legal aspects are the least often *** overall the barrier groups show significant variation across countries compared to driver *** findings provide an evidence-basis to better understand arguments in favour and against specific EETs and,in this way,support policy makers and other interested parties to increase the market share of the selected solutions.

关键词： Energy efficiency Technology diffusion Technology selection Residential building stock Drivers Barriers