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Scoring systems in critically ill: Which one to use in cancer patients?

World Journal of Critical Care Medicine 2022年第6期11卷 364-374页

作者： Anisha beniwal Deven Juneja Omender Singh Amit Goel Akhilesh Singh Hemant kumar beniwal Institute of Critical Care Medicine Max Super Speciality HospitalSaketNew Delhi 110017India Department of Neurosurgery Dr SNMC HospitalJodhpur 342001India

BACKGROUND Scoring systems have not been evaluated in oncology *** aimed to assess the performance of Acute Physiology and Chronic Health Evaluation(APACHE)II,APACHE III,APACHE IV,Simplified Acute Physiology Score(SAPS)II,SAPS III,Mortality Probability Model(MPM)II0 and Sequential Organ Failure Assessment(SOFA)score in critically ill oncology *** To compare the efficacy of seven commonly employed scoring systems to predict outcomes of critically ill cancer *** We conducted a retrospective analysis of 400 consecutive cancer patients admitted in the medical intensive care unit over a two-year *** outcome was hospital mortality and the secondary outcome measure was comparison of various scoring systems in predicting hospital *** In our study,the overall intensive care unit and hospital mortality was 43.5%and 57.8%,*** of the seven tested scores underestimated *** mortality as predicted by MPM II0 predicted death rate(PDR)was nearest to the actual mortality followed by that predicted by APACHE II,with a standardized mortality rate(SMR)of 1.305 and 1.547,*** best calibration was shown by the APACHE III score(χ^(2)=4.704,P=0.788).On the other hand,SOFA score(χ^(2)=15.966,P=0.025)had the worst calibration,although the difference was not statistically *** of the seven scores had acceptable discrimination with good efficacy however,SAPS III PDR and MPM II0 PDR(AUROC=0.762),had a better performance as compared to *** correlation between the different scoring systems was significant(P<0.001).CONCLUSION All the severity scores were tested under-predicted mortality in the present *** the difference in efficacy and performance was not statistically significant,the choice of scoring system used may depend on the ease of use and local preferences.

关键词： APACHE score Intensive care unit Medical oncology SOFA score Scoring systems Severity of illness index

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Analysis and Predictions of Spread, Recovery, and Death Caused by COVID-19 in India

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Big Data Mining and Analytics 2021年第2期4卷 65-75页

作者： Rajani kumari sandeep kumar Ramesh Chandra Poonia Vijander Singh Linesh Raja Vaibhav Bhatnagar Pankaj Agarwal Department of Information Technology and Computer Application JECRC UniversityJaipurRajasthan 303905India Bangalore Karnataka 560029India with Amity University Rajasthan JaipurRajasthan 303002India University Jaipur Rajasthan 303007India

The novel coronavirus outbreak was first reported in late December 2019 and more than 7 million people were infected with this disease and over 0.40 million worldwide lost their lives. The first case was diagnosed on30 January 2020 in India and the figure crossed 0.24 million as of 6 June 2020. This paper presents a detailed study of recently developed forecasting models and predicts the number of confirmed, recovered, and death cases in India caused by COVID-19. The correlation coefficients and multiple linear regression applied for prediction and autocorrelation and autoregression have been used to improve the accuracy. The predicted number of cases shows a good agreement with 0.9992 R-squared score to the actual values. The finding suggests that lockdown and social distancing are two important factors that can help to suppress the increasing spread rate of COVID-19.

关键词： COVID-19 regression correlation machine learning prediction

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Sigmoidal Particle Swarm Optimization for Twitter Sentiment Analysis

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Computers, Materials & Continua 2023年第1期74卷 897-914页

作者： sandeep kumar Muhammad Badruddin Khan Mozaherul Hoque Abul Hasanat Abdul Khader Jilani Saudagar Abdullah AlTameem Mohammed AlKhathami Department of Computer Science and Engineering CHRIST(Deemed to be University)Bangalore560074India Information Systems Department College of Computer and Information SciencesImam Mohammad Ibn Saud Islamic University(IMSIU)Riyadh11432Saudi Arabia

Social media,like Twitter,is a data repository,and people exchange views on global issues like the COVID-19 *** media has been shown to influence the low acceptance of *** work aims to identify public sentiments concerning the COVID-19 vaccines and better understand the individual’s sensitivities and feelings that lead to *** work proposes a method to analyze the opinion of an individual’s tweet about the COVID-19 *** paper introduces a sigmoidal particle swarm optimization(SPSO)***,the performance of SPSO is measured on a set of 12 benchmark problems,and later it is deployed for selecting optimal text features and categorizing *** proposed method uses TextBlob and VADER for sentiment analysis,CountVectorizer,and term frequency-inverse document frequency(TF-IDF)vectorizer for feature extraction,followed by SPSO-based feature *** Covid-19 vaccination tweets dataset was created and used for training,validating,and *** proposed approach outperformed considered algorithms in terms of ***,we augmented the newly created dataset to make it balanced to increase performance.A classical support vector machine(SVM)gives better accuracy for the augmented dataset without a feature selection *** shows that augmentation improves the overall accuracy of tweet *** the augmentation performance of PSO and SPSO is improved by almost 7%and 5%,respectively,it is observed that simple SVMwith 10-fold cross-validation significantly improved compared to the primary dataset.

关键词： Twitter data analysis sentiment analysis social media analytics swarm intelligence COVID-19 vaccine

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Unstructured Oncological Image Cluster Identification Using Improved Unsupervised Clustering Techniques

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Computers, Materials & Continua 2022年第7期72卷 281-299页

作者： S.Sreedhar kumar Syed Thouheed Ahmed Qin Xin S.sandeep M.Madheswaran Syed Muzamil Basha Dr.T.Thimmaiah Institute of Technology VTUKGFKarnatakaIndia School of Computing&Information Technology REVA UniversityBengaluruIndia Faculty of Science and Technology University of the Faroe IslandsFaroe IslandsDenmark K S School of Engineering BengaluruIndia Muthayammal Engineering College RasipuramTamil NaduIndia

This paper presents,a new approach of Medical Image Pixels Clustering(MIPC),aims to trace the dissimilar patterns over the Magnetic Resonance(MR)image through the process of automatically identify the appropriate number of distinct clusters based on different improved unsupervised clustering schemes for enrichment,pattern predication and deeper *** proposed MIPC consists of two stages:clustering and *** the clustering stage,the MIPC automatically identifies the distinct number of dissimilar clusters over the gray scale MR image based on three different improved unsupervised clustering schemes likely improved Limited Agglomerative Clustering(iLIAC),Dynamic Automatic Agglomerative Clustering(DAAC)and Optimum N-Means(ONM).In the second stage,the performance of MIPC approach is estimated by measuring Intra intimacy and Intra contrast of each individual cluster in the result of MR image based on proposed validation method namely Shreekum Intra Cluster Measure(SICM).Experimental results showthat the MIPC approach is better suited for automatic identification of highly relative dissimilar clusters over the MR cancer images with higher Intra closeness and lower Intra contrast based on improved unsupervised clustering schemes.

关键词： Magnetic resonance image unsupervised clustering scheme intra intimacy intra contrast iLIAC shreekum intra cluster measure medical image clustering

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Potassium recovery from muscovite using NaCl-roasting followed by H_(2)SO_(4)-leaching

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Journal of Central South University 2022年第6期29卷 1881-1894页

作者： sandeep kumar JENA Baijayantimala MOHANTY Geetikamayee PADHY Jogeshwara SAHU Sapan kumar KANDI CSIR-Institute of Minerals and Materials Technology BhubaneswarOdisha-751013India

The present study aims at the recovery of potassium from muscovite mica(which contains K_(2)O;~10 wt%)using NaCl-roasting coupled with H_(2)SO_(4)-leaching *** preliminary acid leaching studies applying different mineral acids resulted in a potassium recovery of 8%−18%.The optimum leaching conditions for the maximum recovery were 4 mol/L H_(2)SO_(4),60 min leaching time and liquid-solid ratio 4 mL/g at 90℃.However,the roasting of muscovite with additive NaCl(muscovite:NaCl mass ratio of 1:1.00,900℃,45 min)followed by H_(2)SO_(4)-leaching(95℃,60 min)extracted potassium to the tune of 98%.Under similar roasting conditions,the H_(2)O-leaching process extracted only 60%of *** effects of various roasting and leaching parameters such as temperature,time,NaCl concentration,acid concentration,liquid-solid ratio on potassium extraction were *** appearance of the sylvite(KCl)mineral phase in the NaCl-roasted muscovite and its disappearance in the acid/water leached residue confirmed the physical and chemical distortions of the muscovite crystal *** possible mechanism of potassium release from the complex muscovite structure was elucidated based on available literature substantiated by characterizations using X-ray diffraction(XRD)and scanning electron microscopy with energy dispersive X-rays spectroscopy(SEM-EDX).

关键词： muscovite roasting acid leaching potassium recovery sylvite

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Vaccine development for leptospirosis:A systematic review

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Asian Pacific Journal of Tropical Medicine 2023年第12期16卷 533-545页

作者： Yocyny Surendran Mahalingam Nandikha Syafinaz Amin-Nordin sandeep kumar Dhanda Mohamad Ridhuan Mohd Ali Narcisse MS Joseph Department of Medical Microbiology Faculty of Medicine and Health SciencesUniversiti Putra Malaysia43400Malaysia Department of Biomedical Science Faculty of MedicineQuest International University30250Malaysia Department of Oncology St Jude Children’s Research Hospital Memphis38105USA Institute for Medical Research Ministry of HealthMalaysia

Objective:To assess the efficacy of various types of vaccines developed for ***:A comprehensive search was conducted in three databases:PubMed,Scopus,and Cochrane *** authors(YS and MN)selected the articles based on manual *** study eligibility criteria are all Leptospira species regardless of any cluster(pathogenic,intermediate and non-pathogenic).This study recorded articles with positive and negative results and showed a comparison among various membrane proteins as vaccine *** studies on the effectiveness of outer membrane protein as vaccine candidates were also *** articles obtained in the databases were imported into the WPS spreadsheet,and duplicate documents were removed ***:A total of 24 studies were included in the review,which evaluated various types of leptospirosis *** vaccines were developed and tested;however,the heterogeneity of Leptospira species pose a *** an effective approach,an epitope based vaccine shows quite a promising ***,sufficient validation,testing and clinical trials are ***:Developing an effective vaccine for leptospirosis remains a global health *** significant progress has been made in recent years,there is a need for further research to optimize vaccine development and to ensure that vaccines are accessible and effective for high-risk populations.

关键词： Leptospira Vaccine candidate Outer membrane protein

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Nitrosamines crisis in pharmaceuticals-Insights on toxicological implications,root causes and risk assessment:A systematic review

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Journal of Pharmaceutical Analysis 2024年第5期14卷 639-652页

作者： Hemanth P.R.Vikram Tegginamath Pramod kumar Gunjan kumar Narasimha M.Beeraka Rajashree Deka Sheik Mohammed Suhail sandeep Jat Namitha Bannimath Gayatiri Padmanabhan Ravandur S.Chandan Pramod kumar Bannimath Gurupadayya Department of Pharmaceutical Chemistry JSS College of Pharmacy MysuruJSS Academy of Higher Education and Research(JSSAHER)Mysuru570015India Xenone Healthcare Pvt.Ltd. New Delhi110076India Department of Pharmaceutics JSS College of Pharmacy MysuruJSS Academy of Higher Education and Research(JSSAHER)Mysuru570015India Department of Human Anatomy I.M.Sechenov First Moscow State Medical University(Sechenov University)Moscow119991Russian Federation Department of Pharmacology Raghavendra Institute of Pharmaceutical Education and Research(RIPER)Ananthapuramu515721India Herman B.Wells Center for Pediatric Research Department of PediatricsIndiana University School of MedicineIndianapolisIN46202USA Animal Physiology and Biochemistry Laboratory Department of ZoologyGauhati UniversityGuwahati781014India Department of Pharmacology JSS College of Pharmacy MysuruJSS Academy of Higher Education and Research(JSSAHER)Mysuru570015India Department of Pharmaceutical Analysis National Institute of Pharmaceutical Education and Research(NIPER)-GuwahatiChangsari781101India Department of Pharmacology University of GalwayGalwayH91 TK33Ireland

The presence of N-nitroso compounds,particularly N-nitrosamines,in pharmaceutical products has raised global safety concerns due to their significant genotoxic and mutagenic *** systematic review investigates their toxicity in active pharmaceutical ingredients(APIs),drug products,and pharmaceutical excipients,along with novel analytical strategies for detection,root cause analysis,reformulation strategies,and regulatory guidelines for *** review emphasizes the molecular toxicity of N-nitroso compounds,focusing on genotoxic,mutagenic,carcinogenic,and other physiological ***,it addresses the ongoing nitrosamine crisis,the development of nitrosamine-free products,and the importance of sensitive detection methods and precise risk *** comprehensive overview will aid molecular biologists,analytical scientists,formulation scientists in research and development sector,and researchers involved in management of nitrosamine-induced toxicity and promoting safer pharmaceutical products.

关键词： Carcinogenicity Genotoxicity Mutagenicity Molecular toxicity Nitrosamine impurities Nitrosamine drug substance-related impurities

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Multilayer Neural Network Based Speech Emotion Recognition for Smart Assistance

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Computers, Materials & Continua 2023年第1期74卷 1523-1540页

作者： sandeep kumar MohdAnul Haq Arpit Jain C.Andy Jason Nageswara Rao Moparthi Nitin Mittal Zamil S.Alzamil Department of Computer Science and Engineering Koneru Lakshmaiah Education FoundationVaddeswaramAP522502India Department of Computer Science College of Computer and Information SciencesMajmaah University11952Al-MajmaahSaudi Arabia Department of Computer Science and Engineering Teerthanker Mahaveer UniversityMoradabadUttar Pradesh244001India Department of Electronics and Communication Engineering Sreyas Institute of Engineering and TechnologyHyderabad500068India University Centre for Research and Development Chandigarh UniversityMohali140413PunjabIndia

Day by day,biometric-based systems play a vital role in our daily *** paper proposed an intelligent assistant intended to identify emotions via voice message.A biometric system has been developed to detect human emotions based on voice recognition and control a few electronic peripherals for alert *** proposed smart assistant aims to provide a support to the people through buzzer and light emitting diodes(LED)alert signals and it also keep track of the places like households,hospitals and remote areas,*** proposed approach is able to detect seven emotions:worry,surprise,neutral,sadness,happiness,hate and *** key elements for the implementation of speech emotion recognition are voice processing,and once the emotion is recognized,the machine interface automatically detects the actions by buzzer and *** proposed system is trained and tested on various benchmark datasets,i.e.,Ryerson Audio-Visual Database of Emotional Speech and Song(RAVDESS)database,Acoustic-Phonetic Continuous Speech Corpus(TIMIT)database,Emotional Speech database(Emo-DB)database and evaluated based on various parameters,i.e.,accuracy,error rate,and *** comparing with existing technologies,the proposed algorithm gave a better error rate and less *** rate and time is decreased by 19.79%,5.13 *** the RAVDEES dataset,15.77%,0.01 s for the Emo-DB dataset and 14.88%,3.62 for the TIMIT *** proposed model shows better accuracy of 81.02%for the RAVDEES dataset,84.23%for the TIMIT dataset and 85.12%for the Emo-DB dataset compared to Gaussian Mixture Modeling(GMM)and Support Vector Machine(SVM)Model.

关键词： Speech emotion recognition classifier implementation feature extraction and selection smart assistance

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Monitoring of TDS and conductivity in groundwater in the seismically active region in NW Himalayas,India

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Earthquake Science 2010年第3期23卷 295-299页

作者： Arvind kumar Surinder Singh Bikramjit Singh Bajwa sandeep Mahajan Rajeev Kalia Sunil Dhar Department of Physics Guru Nanak Dev University Department of Geology Govt.CollegeDharamsala

The earthquake precursors and earthquake prediction are the burning issue among the community of earth scientists and engineers. Studies of earthquake precursory phenomena since the last several decades have shown that significant geophysical and geochemical changes may occur prior to intermediate and large earthquakes （Hartmann and Levy, 2005; Yang et al, 2005; Einarsson et al, 2008; Italiano et al, 2008; kumar et al, 2009）. Among the more intensely investigated geochemical phenomena there have been changes in the concentrations of dissolved ions and gases in groundwater as well as variations in the concentrations of crustal and mantle volatiles in ground gases.

关键词： TDS (total dissolved solids) conductivity earthquake precursor NW Himalayas

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Single-sweep volumetric optoacoustictomography of whole mice

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Photonics Research 2021年第6期9卷 899-908页

作者： sandeep kumar KALVA XOSE LUIS DEAN-BEN DANIEL RAZANSKY Institute of Pharmacology and Toxicology and Institute for Biomedical Engineering Faculty of MedicineUniversity of ZurichZurichSwitzerland Institute for Biomedical Engineering Department of Information Technology and Electrical EngineeringETH ZurichZurichSwitzerland

Applicability of optoacoustic imaging in biology and medicine is determined by several key performance *** particular,an inherent trade-off exists between the acquired field-of-view(FOV)and temporal resolution of the measurements,which may hinder studies looking at rapid biodynamics at the whole-body ***,we report on a single-sweep volumetric optoacoustic tomography(sSVOT)system that attains whole body three-dimensional mouse scans within 1.8 s with better than 200μm spatial *** employs a spherical matrix array transducer in combination with multibeam illumination,the latter playing a critical role in maximizing the effective FOV and imaging speed *** system further takes advantage of the spatial response of the individual ultrasound detection elements to mitigate common image artifacts related to limited-view tomographic geometry,thus enabling rapid acquisitions without compromising image quality and *** compare performance metrics to the previously reported whole-body mouse imaging implementations and alternative image compounding and reconstruction *** is anticipated that sSVOT will open new venues for studying large-scale biodynamics,such as accumulation and clearance of molecular agents and drugs across multiple organs,circulation of cells,and functional responses to stimuli.

关键词： image latter illumination

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