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World Journal of Clinical Cases 2016年第10期4卷 351-355页

作者： Vivek b Kute Himanshu V Patel Pankaj R Shah Pranjal R Modi Veena R Shah Sayyed J Rizvi bipin C Pal Manisha P Modi Priya S Shah Umesh T Varyani Pavan S Wakhare Saiprasad G Shinde Viajay A Ghodela Minaxi H Patel varsha b trivedi Hargovind L trivedi Department of Nephrology and Clinical Transplantation Institute of Kidney Diseases and Research CenterDr.HL Trivedi Institute of Transplantation Sciences(IKDRC-ITS) Department of Urology and Transplantation IKDRC-ITS Department of Anesthesia IKDRC-ITS Department of Pathology Laboratory MedicineTransfusion Services and ImmunohematologyIKDRC-ITS

The combination of kidney paired donation(KPD) with desensitization represents a promising method of increasing the rate of living donor kidney transplantation(LDKT) in immunologically challenging patients. Patients who are difficult to match and desensitize due to strong donor specific antibody are may be transplanted by a combination of desensitization and KPD protocol with more immunologically favorable donor. We present our experience of combination of desensitization protocol with three-way KPD which contributed to successful LDKT in highly sensitized end stage renal disease patient. All recipients were discharged with normal and stable allograft function at 24 mo follow up. We believe that this is first report from India where three-way KPD exchange was performed with the combination of KPD and desensitization. The combination of desensitization protocol with KPD improves access and outcomes of LDKT.

关键词： Kidney failure Chronic Desensitization Immunologic Kidney transplantation blood group incompatibility Living donors Tissue and organ procurement

Six end-stage renal disease patients benefited from first non-simultaneous single center 6-way kidney exchange transplantation in India

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World Journal of Nephrology 2016年第6期5卷 531-537页

作者： Vivek b Kute Himanshu V Patel Umesh T Varyani Pankaj R Shah Pranjal R Modi Veena R Shah Sayyed J Rizvi bipin C Pal Priya S Shah Pavan S Wakhare Vijay A Ghodela Saiprasad G Shinde varsha b trivedi Minaxi H Patel Hargovind L trivedi Department of Nephrology and Clinical Transplantation Institute of Kidney Diseases and Research Center Dr HL Trivedi Institute of Trans-plantation Sciences Department of Urology and Transplantation Dr HL Trivedi Institute of Trans-plantation Sciences Department of Anesthesia Dr HL Trivedi Institute of Transplantation Sciences Department of Pathology and laboratory medicine Dr HL Trivedi Institute of Transplantation Sciences

AIM To avoid desensitization protocols and AbO incompatible kidney transplantation(KT) due to high costs and increased risk of infections from intense *** We present institutional ethical review board- approved study of single center 6-way kidney exchange transplantation. The participants comprised AbO incompatibility(n = 1); positive cross-match and/or presence of donor specific antibody(n = 5). The average time required from registration in kidney paired donation(KPD) registry to find suitable donors was 45 d and time required to perform transplants after legal permission was 2 mo. RESULTS Graft and patient survival were 100%, and 100%, respectively. One patient had biopsy-proven acute borderline T cell rejection(banff update 2013, type 3). Mean serum creatinine was 0.8 mg/dL at 9 mo followup. The waiting time in KPD was short as compared to deceased donor KT. CONCLUSION We report first non-simultaneous, single center, 6-way kidney exchange transplantation from India. Our experience will encourage other centers in India to undertake this practice.

关键词： Kidney transplantation/methods Kidney paired donation Living donors/supply and distribution Donor selection/methods

International kidney paired donation transplantations to increase kidney transplant of O group and highly sensitized patient: First report from India

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World Journal of Transplantation 2017年第1期7卷 64-69页

作者： Vivek b Kute Himanshu V Patel Pankaj R Shah Pranjal R Modi Veena R Shah Sayyed J Rizvi bipin C Pal Priya S Shah Pavan S Wakhare Saiprasad G Shinde Vijay A Ghodela Umesh T Varyani Minaxi H Patel varsha b trivedi Hargovind L trivedi Department of Nephrology and Clinical Transplantation Institute of Kidney Diseases and Research Center Dr HL Trivedi Institute of Transplantation Sciences (IKDRC-ITS) Department of Urology and transplantation IKDRC-ITS Department of Anesthesia IKDRC-ITS Department of Pathology Laboratory Medicine Transfusion Services and Immunohematology IKDRC-ITS

AIM To report the first international living related two way kidney paired donation(KPD) transplantation from India which occurred on 17 th February 2015 after legal per-mission from authorization committee. METHODS Donor recipient pairs were from Portugal and India who were highly sensitized and AbO incompatible with their spouse respectively. The two donor recipient pairs had negative lymphocyte cross-matching, flow cross-matchand donor specific antibody in two way kidney exchange with the intended KPD donor. Local KPD options were fully explored for Indian patient prior to embarking on international KPD. RESULTS both pairs underwent simultaneous uneventful kidney transplant surgeries and creatinine was 1 mg/d L on tacrolimus based immunosuppression at 11 mo follow up. The uniqueness of these transplantations was that they are first international KPD transplantations in our *** International KPD will increases quality and quantity of living donor kidney transplantation. This could be an important step to solving the kidney shortage with additional benefit of reduced costs, improved quality and increased access for difficult to match incompatible pairs like O blood group patient with non-O donor and sensitized patient. To the best of our knowledge this is first international KPD transplantation from India.

关键词： Kidney paired donation International kidney paired donation Living donor kidney transplantation

Past, present and future of kidney paired donation transplantation in India

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World Journal of Transplantation 2017年第2期7卷 134-143页

作者： Vivek b Kute Himanshu V Patel Pankaj R Shah Pranjal R Modi Veena R Shah Sayyed J Rizvi bipin C Pal Manisha P Modi Priya S Shah Umesh T Varyani Pavan S Wakhare Saiprasad G Shinde Vijay A Ghodela Minaxi H Patel varsha b trivedi Hargovind L trivedi Department of Nephrology and Clinical Transplantation Institute of Kidney Diseases and Research CentreDr HL Trivedi Institute of Transplantation Sciences(IKDRC-ITS) Department of Urology and transplantation Department of Anaesthesia IKDRC-ITS Department of Pathology Laboratory MedicineTransfusion Services and Immunohematology

One third of healthy willing living kidney donors are rejected due to AbO blood group incompatibility and donor specific antibody. This increases pre-transplant dialysis duration leading to increased morbidity and mortality on the kidney transplantation waiting list. Over the last decade kidney paired donation is most rapidly increased source of living kidney donors. In a kidney transplantation program dominated by living donor kidney transplantation, kidney paired donation is a legal and valid alternative strategy to increase living donor kidney transplantation. This is more useful in countries with limited resources where AbO incompatible kidney transplantation or desensitization protocol is not feasible because of costs/infectious complications and deceased donor kidney transplantation is in initial stages. The matching allocation, AbO blood type imbalance, reciprocity, simultaneity, geography were the limitation for the expansion of kidney paired donation. Here we describe different successful ways to increase living donor kidney transplantation through kidney paired donation. Compatible pairs, domino chain, combination of kidney paired donation with desensitization or AbO incompatible transplantation, international kidney paired donation, nonsimultaneous, extended, altruistic donor chain and list exchange are different ways to expand the donor *** absence of national kidney paired donation program,a dedicated kidney paired donation team will increase access to living donor kidney transplantation in individual centres with team work. Use of social networking sites to expand donor pool, HLA based national kidney paired donation program will increase quality and quantity of kidney paired donation transplantation. Transplant centres should remove the barriers to a broader implementation of multicentre, national kidney paired donation program to further optimize potential of kidney paired donation to increase transplantation of O group and sensitized patients. T

关键词： Living donor kidney transplantation Kidney paired donation Renal replacement therapy Developing country

Understanding peroral absorption:regulatory aspects and contemporary approaches to tackling solubility and permeability hurdles

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Acta Pharmaceutica Sinica b 2017年第3期7卷 260-280页

作者： Prachi b.Shekhawat varsha b.Pokharkar Department of Pharmaceutics Poona College of PharmacyBharati Vidyapeeth Deemed UniversityErandwaneKothrudPune 411038India

Oral drug absorption is a process influenced by the physicochemical and biopharmaceutical properties of the drug and its inter-relationship with the gastrointestinal tract. Drug solubility, dissolution and permeability across intestinal barrier are the key parameters controlling absorption. This review provides an overview of the factors that affect drug absorption and the classification of a drug on the basis of solubility and permeability. The biopharmaceutical classification system(bCS) was introduced in early90's and is a regulatory tool used to predict bioavailability problems associated with a new entity, thereby helping in the development of a drug product. Strategies to combat solubility and permeability issues are also discussed.

关键词： bCS Solubility Permeability Formulation strategies Factors affecting absorption

Selective and Adaptive Incremental Transfer Learning with Multiple Datasets for Machine Fault Diagnosis

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Computers, Materials & Continua 2024年第1期78卷 1363-1379页

作者： Kwok Tai Chui brij b.Gupta varsha Arya Miguel Torres-Ruiz School of Science and Technology Hong Kong Metropolitan UniversityHong Kong999077China Department of Computer Science and Information Engineering Asia UniversityTaichung41354Taiwan Center for Advanced Information Technology Kyung Hee UniversitySeoul02447Korea Symbiosis Centre for Information Technology Symbiosis International UniversityPuneMaharashtra411042India Department of Electrical and Computer Engineering Lebanese American UniversityBeirut1102Lebanon School of Computing Skyline University CollegeSharjah1797United Arab Emirates Department of business Administration Asia UniversityTaichung41354Taiwan Center for Interdisciplinary Research University of Petroleum and Energy StudiesDehradun248007India Department of Computer Science&Engineering Chandigarh UniversityChandigarh160036India Centro de Investigación en Computación Instituto Politécnico NacionalUPALM-ZacatencoMexico City07320Mexico

The visions of Industry 4.0 and 5.0 have reinforced the industrial *** have also made artificial intelligence incorporated as a major *** machine faults has become a solid foundation for automatically recognizing machine failure,and thus timely maintenance can ensure safe *** learning is a promising solution that can enhance the machine fault diagnosis model by borrowing pre-trained knowledge from the source model and applying it to the target model,which typically involves two *** response to the availability of multiple datasets,this paper proposes using selective and adaptive incremental transfer learning(SA-ITL),which fuses three algorithms,namely,the hybrid selective algorithm,the transferability enhancement algorithm,and the incremental transfer learning *** is a selective algorithm that enables selecting and ordering appropriate datasets for transfer learning and selecting useful knowledge to avoid negative *** algorithm also adaptively adjusts the portion of training data to balance the learning rate and training *** proposed algorithm is evaluated and analyzed using ten benchmark *** with other algorithms from existing works,SA-ITL improves the accuracy of all *** studies present the accuracy enhancements of the SA-ITL,including the hybrid selective algorithm(1.22%-3.82%),transferability enhancement algorithm(1.91%-4.15%),and incremental transfer learning algorithm(0.605%-2.68%).These also show the benefits of enhancing the target model with heterogeneous image datasets that widen the range of domain selection between source and target domains.

关键词： Deep learning incremental learning machine fault diagnosis negative transfer transfer learning

LSTM based Neural Network Model for Anomaly Event Detection in Care-Independent Smart Homes

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Computer Modeling in Engineering & Sciences 2024年第9期140卷 2689-2706页

作者： brij b.Gupta Akshat Gaurav Razaz Waheeb Attar varsha Arya Ahmed Alhomoud Kwok Tai Chui Department of Computer Science and Information Engineering Asia UniversityTaichung413TaiwanChina Symbiosis Centre for Information Technology(SCIT) Symbiosis International UniversityPune411057India Center for Interdisciplinary Research University of Petroleum and Energy Studies(UPES)Dehradun248007India Computer Engineering Ronin InstituteMontclairNJ 07043USA Management Department College of Business AdministrationPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of business Administration Asia UniversityTaichung413TaiwanChina Department of Electrical and Computer Engineering Lebanese American UniversityBeirut1102Lebanon Department of Computer Sciences Faculty of Computing and Information TechnologyNorthern Border UniversityRafha91911Saudi Arabia School of Science and Technology Hong Kong Metropolitan University(HKMU)Hong KongChina

This study introduces a long-short-term memory(LSTM)-based neural network model developed for detecting anomaly events in care-independent smart homes,focusing on the critical application of elderly fall *** balances the dataset using the Synthetic Minority Over-sampling Technique(SMOTE),effectively neutralizing bias to address the challenge of unbalanced datasets prevalent in time-series classification *** proposed LSTM model is trained on the enriched dataset,capturing the temporal dependencies essential for anomaly *** model demonstrated a significant improvement in anomaly detection,with an accuracy of 84%.The results,detailed in the comprehensive classification and confusion matrices,showed the model’s proficiency in distinguishing between normal activities and *** study contributes to the advancement of smart home safety,presenting a robust framework for real-time anomaly monitoring.

关键词： LSTM neural networks anomaly detection smart home health-care elderly fall prevention

Simultaneous Multi-Wavelength Observations of the TeV blazar Mrk 421 during February-March,2003:X-Ray and NIR Correlated Variability

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Chinese Journal of Astronomy and Astrophysics 2008年第4期8卷 395-403页

作者： Alok C. Gupta b. S. Acharya Debanjan bose varsha R. Chitnis Jun-Hui Fan Center for Astrophysics Guangzhou University Guangzhou 510006 China Tata Institute of Fundamental Research Homi Bhabha Road Colaba Mumbai - 400 005 India Aryabhatta Research Institute of Observational Sciences （ARIES） Manora Peak Nainital - 263129India

We report the result of simultaneous multi-wavelength observations of the TeV blazar Mrk 421 during February - March 2003. We observed Mrk 421 using the Pachmarhi Array of Cerenkov Telescopes （PACT） of Tata Institute of Fundamental Research at Pachmarhi, India. Other simultaneous data were taken from the literature and public data archives. We have analyzed the high quality X-ray （2-20 keV） observations from the NASA Rossi X-Ray Timing Explorer （RXTE）. We obtained a possible correlated variability between X-ray and J band （1.25 μ） near infrared （NIR） wavelength. This is the first case of X-ray and NIR correlated variability in Mrk 421 or any high energy peaked （HbL） blazar. The correlated variability reported here indicates a similar origin for the NIR and X-ray emissions. The emission is not affected much by the environment of the surrounding medium of the central engine of Mrk 421. The observations are consistent with the shock-in-jet model for the emissions.

关键词： galaxies active - galaxies blazars general - galaxies blazars individual Mrk 421

Advanced bERT and CNN-based Computational Model for Phishing Detection in Enterprise Systems

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Computer Modeling in Engineering & Sciences 2024年第12期141卷 2165-2183页

作者： brij b.Gupta Akshat Gaurav varsha Arya Razaz Waheeb Attar Shavi bansal Ahmed Alhomoud Kwok Tai Chui Department of Computer Science and Information Engineering Asia UniversityTaichung413Taiwan Symbiosis Centre for Information Technology(SCIT) Symbiosis International UniversityPune411057India Center for Interdisciplinary Research University of Petroleum and Energy Studies(UPES)Dehradun248007India University Centre for Research and Development(UCRD) Chandigarh UniversityChandigarh140413India Computer Engineering Ronin InstituteMontclairNJ 07043USA Department of business Administration Asia UniversityTaichung413Taiwan Department of Electrical and Computer Engineering Lebanese American UniversityBeirut1102Lebanon College of business Administration Management DepartmentPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia Department of Research and Innovation Insights2TechinfoJaipur302001India Department of Computer Sciences Faculty of Computing and Information TechnologyNorthern Border UniversityRafha91911Saudi Arabia Department of Electronic Engineering and Computer Science Hong Kong Metropolitan University(HKMU)Hong Kong518031China

Phishing attacks present a serious threat to enterprise systems,requiring advanced detection techniques to protect sensitive *** study introduces a phishing email detection framework that combines bidirectional Encoder Representations from Transformers(bERT)for feature extraction and CNN for classification,specifically designed for enterprise information ***’s linguistic capabilities are used to extract key features from email content,which are then processed by a convolutional neural network(CNN)model optimized for phishing *** an accuracy of 97.5%,our proposed model demonstrates strong proficiency in identifying phishing *** approach represents a significant advancement in applying deep learning to cybersecurity,setting a new benchmark for email security by effectively addressing the increasing complexity of phishing attacks.

关键词： Phishing bERT convolutional neural networks email security deep learning

Cuckoo Search-Optimized Deep CNN for Enhanced Cyber Security in IoT Networks

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Computers, Materials & Continua 2024年第12期81卷 4109-4124页

作者： brij b.Gupta Akshat Gaurav varsha Arya Razaz Waheeb Attar Shavi bansal Ahmed Alhomoud Kwok Tai Chui Department of Computer Science and Information Engineering Asia UniversityTaichung413TaiwanChina Symbiosis Centre for Information Technology(SCIT) Symbiosis International UniversityPune411057MaharashtraIndia Center for Interdisciplinary Research University of Petroleum and Energy Studies(UPES)Dehradun248007India University Centre for Research and Development(UCRD) Chandigarh UniversityChandigarh140413India Computer Engineering Ronin InstituteMontclairNJ 07043USA Department of business Administration Asia UniversityTaichung413TaiwanChina Department of Electrical and Computer Engineering Lebanese American UniversityBeirut1102Lebanon Management Department College of Business AdministrationPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia Department of Research and Innovation Insights2TechinfoJaipur302001India Department of Computer Science Faculty of ScienceNorthern Border UniversityArar91431Saudi Arabia Department of Electronic Engineering and Computer Science Hong Kong Metropolitan University(HKMU)Hong Kong518031China

Phishing attacks seriously threaten information privacy and security within the Internet of Things(IoT)*** phishing attack detection solutions have been developed for IoT;however,many of these are either not optimally efficient or lack the lightweight characteristics needed for practical *** paper proposes and optimizes a lightweight deep-learning model for phishing attack *** model employs a two-fold optimization approach:first,it utilizes the analysis of the variance(ANOVA)F-test to select the optimal features for phishing detection,and second,it applies the Cuckoo Search algorithm to tune the hyperparameters(learning rate and dropout rate)of the deep learning ***,our model is trained in only five epochs,making it more lightweight than other deep learning(DL)and machine learning(ML)*** proposed model achieved a phishing detection accuracy of 91%,with a precision of 92%for the’normal’class and 91%for the‘attack’***,the model’s recall and F1-score are 91%for both *** also compared our approach with traditional DL/ML models and past literature,demonstrating that our model is more *** study enhances the security of sensitive information and IoT devices by offering a novel and effective approach to phishing detection.

关键词： Deep learning phishing Cuckoo Search cable news network(CNN) IoT ANOVA F-test