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Visualizing the Transport of Porcine Reproductive and Respiratory Syndrome Virus in Live Cells by Quantum Dots-Based Single Virus Tracking

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Virologica Sinica 2020年第4期35卷 407-416页

作者： Zhenpu Liang Pengjuan Li Caiping Wang deepali Singh Xiaoxia Zhang College of Life Sciences Key Laboratory of Enzyme Engineering of Agricultural Microbiology(Ministry of Agriculture)Henan Agricultural UniversityZhengzhou 450000China School of Biotechnology Gautam Buddha UniversityGreater Noida 201312India

Quantum dots(QDs)-based single particle analysis technique enables real-time tracking of the viral infection in live cells with great sensitivity over a long period of *** porcine reproductive and respiratory syndrome virus(PRRSV)is a small virus with the virion size of 40–60 nm which causes great economic losses to the swine industry worldwide.A clear understanding of the viral infection mechanism is essential for the development of effective antiviral *** this study,we labeled the PRRSV with QDs using the streptavidin–biotin labeling system and monitored the viral infection process in live *** results indicated that the labeling method had negligible effect on viral *** also observed that prior to the entry,PRRSV vibrated on the plasma membrane,and entered the cells via endosome mediated cell entry *** moved in a slow–fast–slow oscillatory movement pattern and finally accumulated in a perinuclear region of the *** results also showed that once inside the cell,PRRSV moved along the microtubule,microfilament and vimentin cytoskeletal *** the transport process,virus particles also made contacts with non-muscle myosin heavy chainⅡ-A(NMHCⅡ-A),visualized as small spheres in *** study can facilitate the application of QDs in virus infection imaging,especially the smaller-sized viruses and provide some novel and important insights into PRRSV infection mechanism.

关键词： Single virus tracking Quantum dots(QDs) Biotinylation Porcine reproductive and respiratory syndrome virus(PRRSV) Transport

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Targeting DNA repair for cancer treatment: Lessons from PARP inhibitor trials

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Oncology Research 2023年第4期31卷 405-421页

作者： DHANYA K.NAMBIAR deepali MISHRA RANA P.SINGH Department of Radiation Oncology Stanford University School of MedicineStanfordCA94305USA Cancer Biology Laboratory School of Life SciencesJawaharlal Nehru UniversityNew Delhi110067India Special Centre for Systems Medicine Jawaharlal Nehru UniversityNew Delhi10067India

Ionizing radiation is frequently used to treat solid tumors,as it causes DNA damage and kill cancer ***,damaged DNA is repaired involving poly-(ADP-ribose)polymerase-1(PARP-1)causing resistance to radiation ***,PARP-1 represents an important target in multiple cancer types,including prostate *** is a nuclear enzyme essential for single-strand DNA breaks *** PARP-1 is lethal in a wide range of cancer cells that lack the homologous recombination repair(HR)*** article provides a concise and simplified overview of the development of PARP inhibitors in the laboratory and their clinical *** focused on the use of PARP inhibitors in various cancers,including prostate *** also discussed some of the underlying principles and challenges that may affect the clinical efficacy of PARP inhibitors.

关键词： PARP inhibitors Synthetic lethality DNA repair BRCA mutations

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Chronic serotonin syndrome:A retrospective study

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World Journal of Psychiatry 2021年第4期11卷 124-132页

作者： Sanjay Prakash Chaturbhuj Rathore Kaushik Rana Diptangshu Roychowdhury deepali Lodha Department of Neurology Smt.B.K.Shah Medical Institute and Research CentreSumandeep VdyapeethVadodara 391760India Department of Psychiatry Smt.B.K.Shah Medical Institute and Research CentreSumandeep VdyapeethVadodara 391760India Department of Medicine Smt.B.K.Shah Medical Institute and Research CentreSumandeep VdyapeethVadodara 391760India

BACKGROUND Serotonin syndrome(SS)is an underdiagnosed drug-induced clinical syndrome resulting from the excess intrasynaptic concentration of *** limited information is available about chronic *** To evaluate the epidemiological,clinical,and other aspects of the insidious onset *** We retrospectively evaluated 14 consecutive adult patients(>18 years)who had complaints for more than 6 wk at the time of consultation and met the Hunter criteria for *** The mean age was 41.1 years(range:21-61 years),with a male preponderance(64%).Although tremors were observed in all patients,this was a presenting complaint in only 43%of *** body pain,insomnia,and restlessness were common presenting features(50%each).Other common clinical features were stiffness of the limbs(43%),diaphoresis(43%),gait disturbances(36%),bowel disturbances(36%),dizziness(29%),sexual dysfunctions(21%),incoordination(14%),and fatigue(14%)The mean duration of symptoms before the diagnosis of SS was 13.5±5.8 wk(range:6-24 wk).Amitriptyline was the most common drug(n=6,43%),followed by tramadol(n=5,36%)and sodium valproate(n=5,36%).All patients received cyproheptadine,a 5-hydroxytryptamine2A antagonist,as treatment and noted an excellent response CONCLUSION This study represents the largest study on chronic *** suggest that patients receiving serotonergic drugs should be physically examined for the presence of SS upon the development of new symptoms.

关键词： Serotonin syndrome Serotonin toxicity Cyproheptadine Serotonergic agents Serotonin Clonus

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An Enhanced Integrated Method for Healthcare Data Classification with Incompleteness

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Computers, Materials & Continua 2024年第11期81卷 3125-3145页

作者： Sonia Goel Meena Tushir Jyoti Arora Tripti Sharma deepali Gupta Ali Nauman Ghulam Muhammad Electrical and Electronics Engineering(EEE)Department Maharaja Surajmal Institute of TechnologyNew-Delhi110058India Information Technology(IT)Department Maharaja Surajmal Institute of TechnologyNew-Delhi110058India Chitkara University Institute of Engineering and Technology Chitkara UniversityRajpuraPunjab140401India Department of Computer Science and Engineering Yeungnam UniversityGyeongsan-si38541Republic of Korea Department of Computer Engineering College of Computer and Information SciencesKing Saud UniversityRiyadh11421Saudi Arabia

In numerous real-world healthcare applications,handling incomplete medical data poses significant challenges for missing value imputation and subsequent clustering or classification *** approaches often rely on statistical methods for imputation,which may yield suboptimal results and be computationally *** paper aims to integrate imputation and clustering techniques to enhance the classification of incomplete medical data with improved *** classification methods are ill-suited for incomplete medical *** enhance efficiency without compromising accuracy,this paper introduces a novel approach that combines imputation and clustering for the classification of incomplete ***,the linear interpolation imputation method alongside an iterative Fuzzy c-means clustering method is applied and followed by a classification *** effectiveness of the proposed approach is evaluated using multiple performance metrics,including accuracy,precision,specificity,and *** encouraging results demonstrate that our proposed method surpasses classical approaches across various performance criteria.

关键词： Incomplete data nearest neighbor linear interpolation imputation clustering classification

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An Intelligent Forecasting Model for Disease Prediction Using Stack Ensembling Approach

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Computers, Materials & Continua 2022年第3期70卷 6041-6055页

作者： Shobhit Verma Nonita Sharma Aman Singh Abdullah Alharbi Wael Alosaimi Hashem Alyami deepali Gupta Nitin Goyal Computer Science&Engineering Department Dr.B.R.Ambedkar National Institute of TechnologyJalandharIndia Computer Science&Engineering Department Lovely Professional UniversityJalandharIndia Department of Information Technology College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif 21944Saudi Arabia Department of Computer Science College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif 21944Saudi Arabia Chitkara University Institute of Engineering and Technology Chitkara UniversityPunjabIndia

This research work proposes a new stack-based generalization ensemble model to forecast the number of incidences of conjunctivitis *** addition to forecasting the occurrences of conjunctivitis incidences,the proposed model also improves performance by using the ensemble *** rate of acute Conjunctivitis per 1000 for Hong Kong is collected for the duration of the first week of January 2010 to the last week of December ***-processing techniques such as imputation of missing values and logarithmic transformation are applied to pre-process the data sets.A stacked generalization ensemble model based on Auto-ARIMA(Autoregressive Integrated Moving Average),NNAR(Neural Network Autoregression),ETS(Exponential Smoothing),HW(Holt Winter)is proposed and applied on the *** analysis is conducted on the collected dataset of conjunctivitis disease,and further compared for different performance *** result shows that the RMSE(Root Mean Square Error),MAE(Mean Absolute Error),MAPE(Mean Absolute Percentage Error),ACF1(Auto Correlation Function)of the proposed ensemble is decreased *** the RMSE,for instance,error values are reduced by 39.23%,9.13%,20.42%,and 17.13%in comparison to Auto-ARIMA,NAR,ETS,and HW model *** research concludes that the accuracy of the forecasting of diseases can be significantly increased by applying the proposed stack generalization ensemble model as it minimizes the prediction error and hence provides better prediction trends as compared to Auto-ARIMA,NAR,ETS,and HW model applied discretely.

关键词： Disease prediction stack ensemble neural network autoregression exponential smoothing auto-ARIMA holt winter

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Empirical Assessment of Bacillus Calmette-Guérin Vaccine to Combat COVID-19

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Computers, Materials & Continua 2022年第1期70卷 213-231页

作者： Nikita Jain Vedika Gupta Chinmay Chakraborty Agam Madan deepali Virmani Lorenzo Salas-Morera Laura Garcia-Hernandez Department of Computer Science&Engineering Bharati Vidyapeeth’s College of EngineeringNew Delhi110063India Department of Electronics&Communication Engineering Birla Institute of TechnologyMesra814142India Department of Computer Science&Engineering Bhagwan Parshuram Institute of TechnologyNew Delhi110063India Area of Project Engineering University of CórdobaCórdoba14071Spain

COVID-19 has become one of the critical health issues globally,which surfaced first in latter part of the year *** is the topmost concern for many nations’governments as the contagious virus started mushrooming over adjacent regions of infected *** 1980,a vaccine called Bacillus Calmette-Guérin(BCG)was introduced for preventing tuberculosis and lung *** that have made the BCG vaccine mandatory have witnessed a lesser COVID-19 fatality rate than the countries that have not made it *** paper’s initial research shows that the countries with a longtermcompulsory BCGvaccination system are less affected by COVID-19 than those without a BCG vaccination *** paper discusses analytical data patterns for medical applications regarding COVID-19 impact on countries with mandatory BCG status on fatality *** paper has tackled numerous analytical challenges to realize the full potential of heterogeneous *** analogy is drawn to demonstrate how other factors can affect fatality and infection rates other than BCG vaccination only,such as age groups affected,other diseases,and stringency *** data of Spain,Portugal,and Germany have been taken for a case study of BCG impact analysis.

关键词： Bacillus Calmette-Guérin COVID-19 fatality rate lockdown gross domestic product vaccine

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A Secure and Efficient Signature Scheme for IoT in Healthcare

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Computers, Materials & Continua 2022年第12期73卷 6151-6168页

作者： Latika Kakkar deepali Gupta Sarvesh Tanwar Sapna Saxena Khalid Alsubhi Divya Anand Irene Delgado Noya Nitin Goyal Chitkara University Institute of Engineering and Technology Chitkara UniversityPunjab140401India AIIT Amity UniversityNoida201313India Chitkara School of Engineering&Technology Chitkara UniversityHP174103India Faculty of Computing and Information Technology King Abdulaziz UniversityJeddah37848Saudi Arabia Lovely Professional University JalandharPunjab144411India Universidad Europea Del Atlántico C/Isabel Torres 2139011SantanderSpain Universidad Internacional Iberoamericana CampecheC.P.24560Mexico

To provide faster access to the treatment of patients,healthcare system can be integrated with Internet of Things to provide prior and timely health services to the *** is a huge limitation in the sensing layer as the IoT devices here have low computational power,limited storage and less battery ***,this huge amount of data needs to be stored on the *** information and the data sensed by these devices is made accessible on the internet from where medical staff,doctors,relatives and family members can access this *** helps in improving the treatment as well as getting faster medical assistance,tracking of routine activities and health focus of elderly people on frequent ***,the data transmission from IoT devices to the cloud faces many security challenges and is vulnerable to different security and privacy threats during the transmission *** purpose of this research is to design a Certificateless Secured Signature Scheme that will provide a magnificent amount of security during the transmission of *** signature,that removes the intricate certificate management and key escrow problem,is one of the practical methods to provide data integrity and identity authentication for the *** result shows that the proposed scheme performs better than the existing certificateless signature schemes in terms of computational cost,encryption and decryption *** scheme is the best combination of high security and cost efficiency and is further suitable for the resource constrained IoT environment.

关键词： CSSS digital signature ECC IoT security signcryption smart healthcare system

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Fault Pattern Diagnosis and Classification in Sensor Nodes Using Fall Curve

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Computers, Materials & Continua 2022年第7期72卷 1799-1814页

作者： Mudita Uppal deepali Gupta Divya Anand Fahd S.Alharithi Jasem Almotiri Arturo Mansilla Dinesh Singh Nitin Goyal Chitkara University Institute of Engineering and Technology Chitkara UniversityPunjabIndia Computer Science&Engineering Department Lovely Professional UniversityJalandharPunjabIndia Department of Computer Science College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif21944Saudi Arabia Higher Polytechnic School/Industrial Organization Engineering Universidad Europea del AtlánticoIsabel Torres 2139011SantanderSpain Department of Project Management Universidad Internacional IberoamericanaCampeche24560Mexico Computer Science and Engineering Department Deenbandhu Chhotu Ram University of Science and TechnologyMurthalSonipatHaryanaIndia

The rapid expansion of Internet of Things(IoT)devices deploys various sensors in different applications like homes,cities and *** applications depend upon the accuracy of sensor ***,it is necessary to predict faults in the sensor and isolate their cause.A novel primitive technique named fall curve is presented in this paper which characterizes sensor *** technique identifies the faulty sensor and determines the correct working of the *** sources of sensor faults are explained in detail whereas various faults that occurred in sensor nodes available in IoT devices are also presented in tabular *** prediction in digital and analog sensors along with methods of sensor fault prediction are *** are several advantages and disadvantages of sensor fault prediction methods and the fall curve ***,some solutions are provided to overcome the limitations of the fall curve *** this paper,a bibliometric analysis is carried out to visually analyze 63 papers fetched from the Scopus database for the past five *** novelty is to predict a fault before its occurrence by looking at the fall *** sensing of current flow in devices is important to prevent a major ***,the fall curves of ACS712 current sensors configured on different devices are drawn for predicting faulty or non-faulty *** analysis result proved that if any of the current sensors gets faulty,then the fall curve will differ and the value will immediately drop to *** evaluation metrics for fault prediction are also described in this *** last,this paper also addresses some possible open research issues which are important to deal with false IoT sensor data.

关键词： Fault identification fault classification IoT sensor nodes analog sensors digital sensors fall curve

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Ominous lung cavity “Tambourine sign”

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World Journal of Clinical Cases 2017年第4期5卷 153-158页

作者： Ritu Verma Ashu Seith Bhalla Ankur Goyal deepali Jain N Loganathan Randeep Guleria Department of Radiodiagnosis AIIMS Department of Pathlology AIIMS Department of Pulmonary Medicine and Sleep Disorders AIIMS

Mucinous adenocarcinoma represents a rare subtype of adenocarcinoma of the lung, which is frequently invasive and has a poorer prognosis. Of its wide range of imaging appearances, air-space consolidation is the most frequent pattern while cavitary form has only rarely been reported. Despite imaging advancements, the differentiation of benign and malignant cavitary lung lesions sometimes remains imperfect. We propose "Tambourine" sign on computed tomography to raise the suspicion of mucinous adenocarcinoma in a lung cavity, under appropriate clinical settings. The sign indicates an irregular cavity with undistorted prominent thick walled bronchioles within the wall and draping along thereby resembling the musical instrument "tambourine". Adjacent ground glass and internal septations may also be seen.

关键词： Lung cavity Tambourine Adenocarcinoma mucinous Tomography X-ray

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Quantitative determination of residual 2-(2-chloroethoxy) ethanol (CEE) in quetiapine fumarate by gas chromatogaraphy

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Advances in Bioscience and Biotechnology 2010年第5期1卷 367-371页

作者： Pravish Tiwari Ravi Yadav Padmakar A. Sathe deepali Gangrade 不详

A simple and specific gas chromatographic method developed and validated for the determination of 2-(2-chloroethoxy) ethanol in Quetiapine Fumarate. The method is carried out with a flame ionization detector and DB-FFAP capillary column. The linearity was established over a range of 40-150 μg ml-1 and correlation coefficient is more than 0.999.

关键词： GC 2-(2-Chloroethoxy) Ethanol

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