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Secure and resilient improved image steganography using hybrid fuzzy neural network with fuzzy logic

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Journal of Safety Science and Resilience 2024年第1期5卷 91-101页

作者： Sachin Dhawan Hemanta kumar Bhuyan Subhendu kumar Pani Vinayakumar Ravi Rashmi Gupta arun Rana Alanoud Al Mazroa Dorset College King George BlvdSurreyBritish ColumbiaCanada Department of Information Technology Vignan’s Foundation for ScienceTechnology and Research(Deemed to be University)Andhra PradeshIndia Krupajal Computer Academy Biju Patnaik University of Technology(BPUT)Rourkela 751002India Center for Artificial Intelligence Prince Mohammad Bin Fahd UniversityKhobarSaudi Arabia NSUT East Campus(Formerly AIACTRDelhi 110031India(Affiliated to Guru Gobind Singh Inderaprastha University))Dwarka 110078India Department of Computer Science and Engineering Galgotias College of Engineering and Technology Greater Noida 201310Uttar PradeshIndia Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman University(PNU)P.O.Box 84428Riyadh 11671Saudi Arabia

The exponential growth in communication networks,data technology,advanced libraries,and mainly World Wide Web services has played a pivotal role in facilitating the retrieval of various types of information as ***,this progress has also led to security concerns related to the transmission of confidential ***,safeguarding these data during communication through insecure channels is crucial for obvious *** emergence of steganography offers a robust approach to concealing confidential information,such as images,audio tracks,text files,and video files,in suitable media carriers.A novel technique is envisioned based on back-propagation *** to the proposed method,a hybrid fuzzy neural network(HFNN)is applied to the output obtained from the least significant bit substitution of secret data using pixel value dif-ferences and exploiting the modification *** simulation and test results,it has been observed that the proposed methodology achieves secure steganography and superior visual *** the experiments,we observed that for the secret image of the cameraman,the PSNR&MSE values of the proposed technique are 61.963895 and 0.041361,respectively.

关键词： Image enhancement Image processing Steganography Deep learning Fuzzy neural combination

Machine learning for predicting the outcome of terminal ballistics events

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Defence Technology（防务技术） 2024年第1期31卷 14-26页

作者： Shannon Ryan Neeraj Mohan Sushma arun kumar AV Julian Berk Tahrima Hashem Santu Rana Svetha Venkatesh Applied Artificial Intelligence Institute(A2I2) Deakin University75 Pigdons RdWaurn PondsVIC3216Australia

Machine learning(ML) is well suited for the prediction of high-complexity,high-dimensional problems such as those encountered in terminal *** evaluate the performance of four popular ML-based regression models,extreme gradient boosting(XGBoost),artificial neural network(ANN),support vector regression(SVR),and Gaussian process regression(GP),on two common terminal ballistics’ problems:(a)predicting the V50ballistic limit of monolithic metallic armour impacted by small and medium calibre projectiles and fragments,and(b) predicting the depth to which a projectile will penetrate a target of semi-infinite *** achieve this we utilise two datasets,each consisting of approximately 1000samples,collated from public release *** demonstrate that all four model types provide similarly excellent agreement when interpolating within the training data and diverge when extrapolating outside this *** extrapolation is not advisable for ML-based regression models,for applications such as lethality/survivability analysis,such capability is *** circumvent this,we implement expert knowledge and physics-based models via enforced monotonicity,as a Gaussian prior mean,and through a modified loss *** physics-informed models demonstrate improved performance over both classical physics-based models and the basic ML regression models,providing an ability to accurately fit experimental data when it is available and then revert to the physics-based model when *** resulting models demonstrate high levels of predictive accuracy over a very wide range of projectile types,target materials and thicknesses,and impact conditions significantly more diverse than that achievable from any existing analytical *** with numerical analysis tools such as finite element solvers the ML models run orders of magnitude *** provide some general guidelines throughout for the development,application,and reporting of ML models in terminal ballist

关键词： Machine learning Artificial intelligence Physics-informed machine learning Terminal ballistics Armour

Scheme Based on Multi-Level Patch Attention and Lesion Localization for Diabetic Retinopathy Grading

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Computer Modeling in Engineering & Sciences 2024年第7期140卷 409-430页

作者： Zhuoqun Xia Hangyu Hu Wenjing Li Qisheng Jiang Lan Pu Yicong Shu arun kumar Sangaiah School of Computer and Communication Engineering Changsha University of Science and TechnologyChangshaChina Hunan Province People’s Hospital(The First Affiliated Hospital of Hunan Normal University) ChangshaChina The First Affiliated Hospital of Guangxi Medical University NanningChina International Graduate Institute of AI National Yunlin University of Science and TechnologyYunlinChina Department of Electrical and Computer Engineering Lebanese American UniversityBayrutLebanon

Early screening of diabetes retinopathy(DR)plays an important role in preventing irreversible *** research has failed to fully explore effective DR lesion information in fundus ***,traditional attention schemes have not considered the impact of lesion type differences on grading,resulting in unreasonable extraction of important lesion ***,this paper proposes a DR diagnosis scheme that integrates a multi-level patch attention generator(MPAG)and a lesion localization module(LLM).Firstly,MPAGis used to predict patches of different sizes and generate a weighted attention map based on the prediction score and the types of lesions contained in the patches,fully considering the impact of lesion type differences on grading,solving the problem that the attention maps of lesions cannot be further refined and then adapted to the final DR diagnosis ***,the LLM generates a global attention map based on ***,the weighted attention map and global attention map are weighted with the fundus map to fully explore effective DR lesion information and increase the attention of the classification network to lesion *** paper demonstrates the effectiveness of the proposed method through extensive experiments on the public DDR dataset,obtaining an accuracy of 0.8064.

关键词： DDR dataset diabetic retinopathy lesion localization multi-level patch attention mechanism

Clinical profile and outcomes of hepatocellular carcinoma in primary Budd-Chiari syndrome

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World Journal of Gastrointestinal Oncology 2024年第3期16卷 699-715页

作者： Ankit Agarwal Sagnik Biswas Shekhar Swaroop Arnav Aggarwal Ayush Agarwal Gautam Jain Anshuman Elhence arun Vaidya Amit Gupte Ravi Mohanka Ramesh kumar Ashwani kumar Mishra Shivanand Gamanagatti Shashi Bala Paul Subrat kumar Acharya Akash Shukla Shalimar Department of Gastroenterology and Human Nutrition All India Institute of Medical SciencesNew Delhi 110029DelhiIndia Department of Gastroenterology Seth Gordhandas Sunderdas Medical College and KEM HospitalMumbai 400012MaharashtraIndia Department of Gastroenterology Sir HN Reliance Foundation HospitalMumbai 400004India Department of Liver Transplant and HPB Sir HN Reliance Foundation HospitalMumbai 400004India Department of Gastroenterology All India Institute of Medical SciencesPatna 801507India Professor of Biostatistics National Drug Dependence Treatment Centre(NDDTC)All India Institute of Medical SciencesNew Delhi 110029India Department of Radiodiagnosis All India Institute of Medical SciencesNew Delhi 110029DelhiIndia

BACKGROUND There is scant literature on hepatocellular carcinoma(HCC)in patients with Budd-Chiari syndrome(BCS).AIM To assess the magnitude,clinical characteristics,feasibility,and outcomes of treatment in *** A total of 904 BCS patients from New Delhi,India and 1140 from Mumbai,India were *** prevalence and incidence of HCC were determined,and among patients with BCS-HCC,the viability and outcomes of interventional therapy were *** In the New Delhi cohort of 35 BCS-HCC patients,18 had HCC at index presentation(prevalence 1.99%),and 17 developed HCC over a follow-up of 4601 person-years,[incidence 0.36(0.22-0.57)per 100 person-years].BCS-HCC patients were older when compared to patients with BCS alone(P=0.001)and had a higher proportion of inferior vena cava block,cirrhosis,and long-segment vascular *** median alpha-fetoprotein level was higher in patients with BCS-HCC at first presentation than those who developed HCC at follow-up(13029 ng/mL vs 500 ng/mL,P=0.01).Of the 35 BCS-HCC,26(74.3%)underwent radiological interventions for BCS,and 22(62.8%)patients underwent treatment for HCC[transarterial chemoembolization in 18(81.8%),oral tyrosine kinase inhibitor in 3(13.6%),and transarterial radioembolization in 1(4.5%)].The median survival among patients who underwent interventions for HCC compared with those who did not was 3.5 years vs 3.1 mo(P=0.0001).In contrast to the New Delhi cohort,the Mumbai cohort of BCS-HCC patients were predominantly males,presented with a more advanced HCC[Barcelona Clinic Liver Cancer C and D],and 2 patients underwent liver *** HCC is not uncommon in patients with *** interventions and liver transplantation are feasible in select primary BCS-HCC patients and may improve outcomes.

关键词： Budd chiari syndrome Cancer Cirrhosis Thrombosis Liver Varices Transarterial chemoembolization Hepatic venous outflow tract obstruction

Development,validation,and transportability of several machine-learned,non-exercise-based VO_(2max)prediction models for older adults

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Journal of Sport and Health Science 2024年第5期13卷 611-620页

作者： Benjamin T.Schumacher Michael J.LaMonte Andrea Z.LaCroix Eleanor M.Simonsick Steven P.Hooker Humberto Parada Jr. John Bellettiere arun kumar Herbert Wertheim School of Public Health and Human Longevity Science University of California San DiegoLa JollaCA 92093USA Department of Epidemiology and Environmental Health School of Public Health and Health ProfessionsUniversity at BuffaloState University of New YorkBuffaloNY 14214USA Translational Gerontology Branch Intramural Research ProgramNational Institute on AgingNational Institutes of HealthBaltimoreMD 21225USA College of Health and Human Services San Diego State UniversitySan DiegoCA 92182USA Division of Epidemiology and Biostatistics School of Public HealthSan Diego State UniversitySan DiegoCA 92182USA University of California San Diego Moores Cancer Center La JollaCA 92093USA Computer Science and Engineering and Halicioglu Data Science Institute University of California San DiegoLa JollaCA 92093USA

Background:There exist few maximal oxygen uptake(VO_(2max))non-exercise-based prediction equations,fewer using machine learning(ML),and none specifically for older *** direct measurement of VO_(2max)is infeasible in large epidemiologic cohort studies,we sought to develop,validate,compare,and assess the transportability of several ML VO_(2max)prediction ***:The Baltimore Longitudinal Study of Aging(BLSA)participants with valid VO2_(max)tests were included(n=1080).Least absolute shrinkage and selection operator,linear-and tree-boosted extreme gradient boosting,random forest,and support vector machine(SVM)algorithms were trained to predict VO_(2max)*** developed these algorithms for:(a)the overall BLSA,(b)by sex,(c)using all BLSA variables,and(d)variables common in aging ***,we quantified the associations between measured and predicted VO_(2max)and ***:The age was 69.0±10.4 years(mean±SD)and the measured VO_(2max)was 21.6±5.9 mL/kg/*** absolute shrinkage and selection operator,linear-and tree-boosted extreme gradient boosting,random forest,and support vector machine yielded root mean squared errors of 3.4 mL/kg/min,3.6 mL/kg/min,3.4 mL/kg/min,3.6 mL/kg/min,and 3.5 mL/kg/min,*** quartiles of measured VO_(2max)showed an inverse gradient in mortality *** VO_(2max)variables yielded similar effect estimates but were not robust to ***:Measured VO_(2max)is a strong predictor of *** ML can improve the accuracy of prediction as compared to simpler approaches but estimates of association with mortality remain sensitive to *** studies should seek to reproduce these results so that VO_(2max),an important vital sign,can be more broadly studied as a modifiable target for promoting functional resiliency and healthy aging.

关键词： Cardiorespiratory fitness Prediction algorithms Epidemiology Mortality

Spatial and Contextual Path Network for Image Inpainting

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Intelligent Automation & Soft Computing 2024年第2期39卷 115-133页

作者： Dengyong Zhang Yuting Zhao Feng Li arun kumar Sangaiah Hunan Provincial Key Laboratory of Intelligent Processing of Big Data on Transportation Changsha University of Science and TechnologyChangsha410114China School of Computer and Communication Engineering Changsha University of Science and TechnologyChangsha410114China International Graduate Institute of AI National Yunlin University of Science and TechnologyYunlinTaiwan Department of Electrical and Computer Engineering Lebanese American UniversityByblosLebanon

Image inpainting is a kind of use known area of information technology to repair the loss or damage to the *** feature extraction is the core of image *** enough space for information and a larger receptive field is very important to realize high-precision image ***,in the process of feature extraction,it is difficult to meet the two requirements of obtaining sufficient spatial information and large receptive fields at the same *** order to obtain more spatial information and a larger receptive field at the same time,we put forward a kind of image restoration based on space path and context path *** the space path,we stack three convolution layers for 1/8 of the figure,the figure retained the rich spatial *** the context path,we use the global average pooling layer,where the accept field is the maximum of the backbone network,and the pooling module can provide global context information for the maximum accept *** order to better integrate the features extracted from the spatial and contextual paths,we study the fusion module of the two *** fusionmodule first path output of the space and context path,and then through themass normalization to balance the scale of the characteristics,finally the characteristics of the pool will be connected into a feature vector and calculate the weight *** of images in order to extract context information,we add attention to the context path refinement *** modules respectively from channel dimension and space dimension to weighted images,in order to obtain more effective *** show that our method is better than the existing technology in the quality and quantity of themethod,and further to expand our network to other inpainting networks,in order to achieve consistent performance improvements.

关键词： Image inpainting attention deep learning convolutional network

First results on ^(76)Ge neutrinoless double beta decay from CDEX-1 experiment

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Science China(Physics,Mechanics & Astronomy) 2017年第7期60卷 53-59页

作者： Li Wang Qian Yue KeJun Kang JianPing Cheng YuanJing Li TszKing Henry Wong ShinTed Lin JianPing Chang JingHan Chen QingHao Chen YunHua Chen Zhi Deng Qiang Du Hui Gong Li He QingJu He JinWei Hu HanXiong Huang TengRui Huang LiPing Jia Hao Jiang HauBin Li Hong Li JianMin Li Jin Li Jun Li Xia Li XueQian Li YuLan Li FongKay Lin ShuKui Liu Hao Ma JingLu Ma XingYu Pan Jie Ren XiChao Ruan ManBin Shen Vivek Sharma Lakhwinder Singh Manoj kumar Singh Manoj kumar Singh arun kumar soma ChangJian Tang WeiYou Tang ChaoHsiung Tseng JiMin Wang Qing Wang ShiYong Wu YuCheng Wu HaoYang Xing Yin Xu Tao Xue LiTao Yang SongWei Yang Nan Yi ChunXu Yu HaiJun Yu WeiHe Zeng XiongHui Zeng Zhi Zeng Lan Zhang YunHua Zhang MingGang Zhao Wei Zhao JiFang Zhou ZuYing Zhou JingJun Zhu WeiBin Zhu ZhongHua Zhu Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics Tsinghua University Institute of Physics Academia Sinica School of Physical Science and Technology Sichuan University NUCTECH Company YaLong River Hydropower Development Company Department of Nuclear Physics China Institute of Atomic Energy School of Physics Nankai University Department of Physics Banaras Hindu University

We report the first results on 76Ge neutrinoless double beta decay from stage one of the China dark-matter experiment （CDEX）. A p-type point-contact high-purity germanium detector with a mass of 994g has been installed to detect neutrinoless double beta decay events, as well as to directly detect dark matter particles. An exposure of 304kgd has been analyzed over a wide spectral band from 500keV to 3MeV. The average event rate obtained was about 0.012 counts per keV per kg per day over the 2.039MeV energy range. The half-life of76Ge neutrinoless double beta decay derived based on this result is 70v2〉6.4× 1022 yr （90%C.L.）. An upper limit on the effective Majorana-neutrino mass of 5.0eV has been achieved.

关键词： neutrinoless double beta decay CDEX point-contact germanium detector 76Ge isotope

Paradigm shift in transfusion practices during early COVID-19 pandemic:A single center retrospective study

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World Journal of Virology 2024年第2期13卷 78-86页

作者： Sumukh arun kumar Sushmita Prabhu Ankushi Sanghvi Maya Gogtay Mithil Gowda Suresh Harshit Khosla Yuvaraj Singh Ajay kumar Mishra Susan George Department of Internal Medicine Saint Vincent HospitalWorcesterMA 01608United States Department of Hematology and Oncology University of Nebraska Medical CenterOmahaNE 68198United States Hospice and Palliative Care UTHSC and McGovern School of MedicineTexasTX 77030United States Department of Gastroenterology and Hepatology UMass Chan Medical SchoolWorcesterMA 01655United States Division of Cardiology Saint Vincent HospitalWorcesterMA 01608United States

BACKGROUND The advent of coronavirus disease 2019(COVID-19)unveiled the worst national blood crisis that the United States had witnessed in over a *** the pandemic influencing the different stages of the acquisition of blood products outside the hospital setting,we aimed to explore the possible barriers contributing to the shortage of blood products within the medical *** COVID era and pre-COVID *** We conducted a retrospective cross-sectional study on hospitalized patients distinguishing the pattern of blood transfusion during the COVID and pre-COVID era in a community *** was tabulated to include the number of red blood cell(RBC)transfusions and if transfusions met restrictive blood transfusion criteria as per institutional ***-square was applied to test the statistical association between qualitative *** t test and Mann Whitney U test were applied respectively to test the mean difference of quantitative *** A total of 208 patients were included in the study,of which 108 were during COVID era and 100 were during pre-COVID *** leading reason for admission in both the COVID era and pre-COVID era transfused patients was shortness of breath(53.7%and 36%P=0.001),followed by gastrointestinal bleeding(25.9%and 21%P=0.001).There was a higher percentage of RBC transfusions in the intensive care unit in the COVID-era group than in the pre-COVID era group(38.9%vs 22%,P=0.008).The restrictive transfusion criteria were met in 62%vs 79%in the COVID and pre-COVID eras,respectively(P=0.008).CONCLUSION The COVID-era group received RBC transfusions with less stringent adherence to restrictive blood transfusion practices in comparison to pre-COVID era group.

关键词： Blood transfusion Restrictive transfusion COVID-19 Pre-COVID-19 Blood shortage Pandemic

CDEX-1 1 kg point-contact germanium detector for low mass dark matter searches

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Chinese Physics C 2013年第12期37卷 58-64页

作者：康克军岳赛吴呈城程建平李元景白杨毕勇常建平陈楠陈宁陈庆豪陈云华庄又澄邓智杜强宫辉郝喜庆何庆驹胡鑫洄黄瀚雄黄腾锐江灏李浩斌李荐民李金李军李霞李新颖李学潜李玉兰廖恒毅林枫凯林欣德刘书魁吕岚春马豪毛绍基覃建强任杰任婧阮锡超申满斌 Lakhwinder SINGH Manoj kumar SINGH arun kumar soma 苏健唐昌建曾昭雄王继敏王力王青王子敬吴世勇吴蔚吴玉成幸浩洋徐音薛涛杨丽桃杨松纬易难喻纯旭于昊余训臻曾雄辉曾志张岚张蕴华赵明刚赵伟钟苏宁周祖英朱敬军朱维彬朱学洲朱忠华 Tsinghua University Nankai University Sichuan University NUCTECH Company YaLong River Hydropower Development Company Institute of Physics AS China Institute of Atomic Energy Department of Physics Banaras Hindu University

The CDEX collaboration has been established for direct detection of light dark matter particles, using ultra-low energy threshold point-contact p-type germanium detectors, in China JinPing underground Laboratory （CJPL）. The first 1 kg point-contact germanium detector with a sub-keV energy threshold has been tested in a passive shielding system located in CJPL. The outputs from both the point-contact P＋ electrode and the outside N＋ electrode make it possible to scan the lower energy range of less than 1 keV and at the same time to detect the higher energy range up to 3 MeV. The outputs from both P＋ and N＋ electrode may also provide a more powerful method for signal discrimination for dark matter experiment. Some key parameters, including energy resolution, dead time, decay times of internal X-rays, and system stability, have been tested and measured. The results show that the 1 kg point-contact germanium detector, together with its shielding system and electronics, can run smoothly with good performances. This detector system will be deployed for dark matter search experiments.

关键词： CDEX point-contact germanium detector dark matter CJPL