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| 1 | Review of current progress in hole-transporting materials for perovskite solar cells显示文摘Recent advancements in perovskites’ application as a solar energy harvester have been astonishing. The power conversion efficiency(PCE) of perovskite solar cells(PSCs) is currently reaching parity(>25 percent), an accomplishment attained over past decades. PSCs are seen as perovskites sandwiched between an electron transporting material(ETM) and a hole transporting material(HTM). As a primary component of PSCs, HTM has been shown to have a considerable effect on solar energy harvesting, carrier extraction and transport, crystallization of perovskite, stability, and price. In PSCs, it is still necessary to use a HTM.While perovskites are capable of conducting holes, they are present in trace amounts, necessitating the use of an HTM layer for efficient charge extraction. In this review, we provide an understanding of the significant forms of HTM accessible(inorganic, polymeric and small molecule-based HTMs), to motivate further research and development of such materials. The identification of additional criteria suggests a significant challenge to high stability and affordability in PSC. | Prerna Mahajan Bhavya Padha Sonali Verma Vinay Gupta Ram Datt Wing Chung Tsoi Soumitra Satapathi Sandeep Arya | 2022 | Journal of Energy Chemistry2022，31，5： | 3 |
| 2 | Reliable and explainable machine-learning methods for accelerated material discovery显示文摘Despite ML’s impressive performance in commercial applications,several unique challenges exist when applying ML in materials science applications.In such a context,the contributions of this work are twofold.First,we identify common pitfalls of existing ML techniques when learning from underrepresented/imbalanced material data.Specifically,we show that with imbalanced data,standard methods for assessing quality of ML models break down and lead to misleading conclusions.Furthermore,we find that the model’s own confidence score cannot be trusted and model introspection methods(using simpler models)do not help as they result in loss of predictive performance(reliability-explainability trade-off).Second,to overcome these challenges,we propose a general-purpose explainable and reliable machine-learning framework.Specifically,we propose a generic pipeline that employs an ensemble of simpler models to reliably predict material properties.We also propose a transfer learning technique and show that the performance loss due to models’simplicity can be overcome by exploiting correlations among different material properties.A new evaluation metric and a trust score to better quantify the confidence in the predictions are also proposed.To improve the interpretability,we add a rationale generator component to our framework which provides both model-level and decision-level explanations.Finally,we demonstrate the versatility of our technique on two applications:(1)predicting properties of crystalline compounds and(2)identifying potentially stable solar cell materials.We also point to some outstanding issues yet to be resolved for a successful application of ML in material science. | Bhavya Kailkhura Brian Gallagher Sookyung Kim Anna Hiszpanski T.Yong-Jin Han | 2019 | npj Computational Materials2019，，1： | 3 |
| 3 | Endoplasmic reticulum- targeted Bcl-2 inhibitable mitochondrial fragmentation initiates ER stress-induced cell death 显示文摘 | Bhavya BC Indira D Seervi M | 2012 | Adv Exp Med Biol2012，749，1： | 1 |
| 4 | Oct-1 acts as a transcriptional repressor on the C-reactive protein promoter显示文摘 | Bhavya Voleti David J. Hammond Avinash Thirumalai Alok Agrawal | 2012 | Molecular Immunology (-)2012，，3： | 1 |
| 5 | Plumbagin Inhibits Cytokinesis in Bacillus Subtilis by Inhibiting FtsZ Assembly-A Mechanistic Study of Its Antibacterial Activity显示文摘 | Anusri Bhattacharya Bhavya Jindal Parminder Singh | 2013 | Federation of European Biochemical Societies2013，280，18： | 1 |
| 6 | Value addition to rice straw through pyrolysis in hydrogen and nitrogen environments 显示文摘 | Bhavya B Vartika S Vinit | 2015 | Bioresource Technol2015，188，： | 1 |
| 7 | A Prospective Study on Rational Drug Use and The Essential Drug Concept 显示文摘 | T Sankaravadivu kE Samjeeva E Bhavya | 2012 | lnternational Journal of Research in Pharmaceutical and Biomedical Sciences2012，2，2： | 1 |
| 8 | Influence of cobalt doping on the crystalline structure, optical and mechanical properties of ZnO thin films显示文摘 | Nupur Bahadur A.K. Srivastava Sushil Kumar M. Deepa Bhavya Nag | 2010 | Thin Solid Films2010，，18： | 1 |
| 9 | Radiology education in Europe: Analysis of results from 22 European countries显示文摘AIM To assess the state of radiology education across Europe by means of a survey study.METHODS A comprehensive 23-item radiology survey was distributed via email to the International Society of Radiology members, national radiological societies, radiologists and medical physicists. Reminders to complete the survey were sent and the results were analyzed over a period of 4 mo(Jan-April 2016). Survey questions include length of medical school and residency training; availabilityof fellowship and subspecialty training; number of residency programs in each country; accreditation pathways; research training; and medical physics education. Descriptive statistics were used to analyze and summarize data.RESULTS Radiology residency training ranges from 2-6 years with a median of 5 years, and follows 1 year of internship training in 55%(12 out of 22) European countries. Subspecialty fellowship training is offered in 55%(12 out of 22) European countries. Availability for specialization training by national societies is limited to eight countries. For nearly all respondents, less than fifty percent of radiologists travel abroad for specialization. Nine of 22(41%) European countries have research requirements during residency. The types of certifying exam show variation where 64%(14 out of 22) European countries require both written and oral boards, 23%(5 out of 22) require oral examinations only, and 5%(1 out of 22) require written examinations only. A degree in medical physics is offered in 59%(13 out of 22) European countries and is predominantly taught by medical physicists. Nearly all respondents report that formal examinations in medical physics are required.CONCLUSION Comparative learning experiences across the continent will help guide the development of comprehensive yet pragmatic infrastructures for radiology education and collaborations in radiology education worldwide. | Bhavya Rehani Yi C Zhang Madan M Rehani András Palkó Lawrence Lau Miriam N Mikhail Lette William P Dillon | 2017 | World Journal of Radiology2017，9，2： | 1 |
| 10 | Enhaneing the LifeTime of Sensor Node in a Wireless Sensor Network 显示文摘 | Yugandhar B Krishnaiah P Bhavya P | 2014 | International Journal of Scientific Engineering and Technology Research2014，43，3： | 1 |
| 11 | GeoAI for detection of solar photovoltaic installations in the Netherlands显示文摘National mapping agencies are responsible for creating and maintaining country wide geospatial datasets that are highly accurate and homogenous.The Netherlands’Cadastre,Land Registry and Mapping Agency,in short,the Kadaster,has created a database of information related to solar installations,using GeoAI.Deep Learning techniques were employed to detect small and medium-scale solar installations on buildings from very highresolution aerial images for the whole of the Netherlands.The impact of data pre-processing and postprocessing are addressed and evaluated.The process was automatized to deal with enormous data and the method was scaled-up nation-wide with the help of cloud solutions.In order to make this information visible,consistent and usable,we built-upon the existing TernausNet;a convolution neural network(CNN)architecture.Model metrics were evaluated after post-processing.The algorithm when used in combination with automated or custom post-processing improves the results.The precision and recall rates of the model for 3 different regions were evaluated and are on average about 0.93 and 0.92 respectively after implementation of post-processing.Use of custom post-processing improves the results by removing the false positives by at least 50%.The final results were compared with the existing national PV register.Overall,the results are not only useful for policy makers to assist them to take the necessary steps in achieving the energy transition goals but also serves as a register for infrastructure planning. | Bala Bhavya Kausika Diede Nijmeijer Iris Reimerink Peter Brouwer Vera Liem | 2021 | Energy and AI2021，6，4： | 0 |
| 12 | Is de novo membranous nephropathy suggestive of alloimmunity in renal transplantation?A case report显示文摘BACKGROUND Post-transplant nephrotic syndrome(PTNS)in a renal allograft carries a 48%to 77%risk of graft failure at 5 years if proteinuria persists.PTNS can be due to either recurrence of native renal disease or de novo glomerular disease.Its prognosis depends upon the underlying pathophysiology.We describe a case of post-transplant membranous nephropathy(MN)that developed 3 mo after kidney transplant.The patient was properly evaluated for pathophysiology,which helped in the management of the case.CASE SUMMARY This 22-year-old patient had chronic pyelonephritis.He received a living donor kidney,and human leukocyte antigen-DR(HLA-DR)mismatching was zero.PTNS was discovered at the follow-up visit 3 mo after the transplant.Graft histopathology was suggestive of MN.In the past antibody-mediated rejection(ABMR)might have been misinterpreted as de novo MN due to the lack of technologies available to make an accurate diagnosis.Some researchers have observed that HLA-DR is present on podocytes causing an anti-DR antibody deposition and development of de novo MN.They also reported poor prognosis in their series.Here,we excluded the secondary causes of MN.Immunohistochemistry was suggestive of IgG1 deposits that favoured the diagnosis of de novo MN.The patient responded well to an increase in the dose of tacrolimus and angiotensin converting enzyme inhibitor.CONCLUSION Exposure of hidden antigens on the podocytes in allografts may have led to subepithelial antibody deposition causing de novo MN. | Prakash I Darji Himanshu A Patel Bhavya P Darji Ajay Sharma Ahmed Halaw | 2022 | World Journal of Transplantation2022，12，1： | 0 |
| 13 | Designing of future ornamental crops: a biotechnological driven perspective显示文摘With a basis in human appreciation of beauty and aesthetic values,the new era of ornamental crops is based on implementing innovative technologies and transforming symbols into tangible assets.Recent advances in plant biotechnology have attracted considerable scientific and industrial interest,particularly in terms ofmodifying desired plant traits and developing future ornamental crops.By utilizing omics approaches,genomic data,genetic engineering,and gene editing tools,scientists have successively explored the underlying molecular mechanism and potential gene(s)behind trait regulation such as floral induction,plant architecture,stress resistance,plasticity,adaptation,and phytoremediation in ornamental crop species.These signs of progress lay a theoretical and practical foundation for designing and enhancing the efficiency of ornamental plants for a wide range of applications.In this review,we briefly summarized the existing literature and advances in biotechnological approaches for the improvement of vital traits in ornamental plants.The future ornamental plants,such as light-emitting plants,biotic/abiotic stress detectors,and pollution abatement,and the introduction of new ornamental varieties via domestication of wild species are also discussed. | Mahinder Partap Vipasha Verma Meenakshi Thakur Bhavya Bhargava | 2023 | Horticulture Research2023，10，11： | 0 |
| 14 | Explainable machine learning in materials science显示文摘Machine learning models are increasingly used in materials studies because of their exceptional accuracy.However,the most accurate machine learning models are usually difficult to explain.Remedies to this problem lie in explainable artificial intelligence(XAI),an emerging research field that addresses the explainability of complicated machine learning models like deep neural networks(DNNs).This article attempts to provide an entry point to XAI for materials scientists.Concepts are defined to clarify what explain means in the context of materials science.Example works are reviewed to show how XAI helps materials science research.Challenges and opportunities are also discussed. | Xiaoting Zhong Brian Gallagher Shusen Liu Bhavya Kailkhura Anna Hiszpanski T.Yong-Jin Han | 2022 | npj Computational Materials2022，，1： | 0 |
| 15 | Home-based Detection and Prediction of Diabetic Foot Ulcers at Early Stage Using Sensor Technology and Supervised Learning显示文摘For years,foot ulcers linked with diabetes mellitus and neuropathy have significantly impacted diabetic patients’ health-related quality of life(HRQoL). Diabetes foot ulcers impact15% of all diabetic patients at some point in their lives. The facilities and resources used for DFU detection and treatment are only available at hospitals and clinics,which results in the unavailability of feasible and timely detection at an early stage. This necessitates the development of an at-home DFU detection system that enables timely predictions and seamless communication with users,thereby preventing amputations due to neglect and severity. This paper proposes a feasible system consisting of three major modules:an IoT device that works to sense foot nodes to send vibrations onto a foot sole,a machine learning model based on supervised learning which predicts the level of severity of the DFU using four different classification techniques including XGBoost,K-SVM,Random Forest,and Decision tree,and a mobile application that acts as an interface between the sensors and the patient. Based on the severity levels,necessary steps for prevention,treatment,and medications are recommended via the application. | Kamasamudram Bhavya Sai Rishi Raghu Sai Surya Varshith Nukala Jayashree Jayaraman Vijayashree Jayaraman | 2024 | Journal of Harbin Institute of Technology(New Series)2024，31，1： | 0 |
| 16 | Diagnostic Utility of Indigenous Technique of Pleuroscopy in Undiagnosed Cases of Exudative Pleural Effusions显示文摘 | Bhavya Atul Shah Mahendra Singh Raghuvanshi Tapan Surana Navedeep Labana Mohammad Zeeshan Mansuri H. G. Varudkar | 2018 | Journal of Health Science2018，6，4： | 0 |
| 17 | Intelligent Cloud IoMT Health Monitoring-Based System for COVID-19显示文摘The most common alarming and dangerous disease in the world today is the coronavirus disease 2019(COVID-19).The coronavirus is perceived as a group of coronaviruses which causes mild to severe respiratory diseases among human beings.The infection is spread by aerosols emitted from infected individuals during talking,sneezing,and coughing.Furthermore,infection can occur by touching a contaminated surface followed by transfer of the viral load to the face.Transmission may occur through aerosols that stay suspended in the air for extended periods of time in enclosed spaces.To stop the spread of the pandemic,it is crucial to isolate infected patients in quarantine houses.Government health organizations faced a lack of quarantine houses and medical test facilities at the first level of testing by the proposed model.If any serious condition is observed at the first level testing,then patients should be recommended to be hospitalized.In this study,an IoT-enabled smart monitoring system is proposed to detect COVID-19 positive patients and monitor them during their home quarantine.The Internet of Medical Things(IoMT),known as healthcare IoT,is employed as the foundation of the proposed model.The least-squares(LS)method was applied to estimate the linear model parameters for a sequential pilot survey.A statistical sequential analysis is performed as a pilot survey to efficiently collect preliminary data for an extensive survey of COVID-19 positive cases.The Bayesian approach is used,based on the assumption of the random variable for the priori distribution of the data sample.Fuzzy inference is used to construct different rules based on the basic symptoms of COVID-19 patients to make an expert decision to detect COVID-19 positive cases.Finally,the performance of the proposed model was determined by applying a four-fold cross-validation technique. | Hameed AlQaheri Manash Sarkar Saptarshi Gupta Bhavya Gaur | 2022 | Computers, Materials & Continua2022，，7： | 0 |
| 18 | Studies of a possible new Herbig Ae/Be star in the open cluster NGC 7380显示文摘We present a study of the star 2MASS J22472238+5801214 with the aim of identifying its true nature which has hitherto been uncertain.This object,which is a member of the young cluster NGC 7380,has been variously proposed to be a Be star,a D-type symbiotic and a Herbig Ae/Be star in separate studies.Here we present optical spectroscopy,near-IR photometry and narrow band Hα imaging of the nebulosity in its environment.Analysis of all these results,including the spectral energy distribution constructed from available data,strongly indicate the source to be a Herbig Ae/Be star.The star is found to be accompanied by a nebulosity with an interesting structure.A bow-shock shaped structure,similar to a cometary nebula,is seen very close to the star with its apex oriented towards the photoionizing source of this region (i.e.the star DH Cep).An interesting spectroscopic finding,from the forbidden [SII] 6716,6731 and [OI] 6300 lines,is the detection of a blue-shifted high velocity outflow (200 ±50 km s-1) from the star. | Blesson Mathew D.P.K.Banerjee N.M.Ashok Annapurni Subramaniam Bhaskaran Bhavya Vishal Joshi | 2012 | Research in Astronomy and Astrophysics2012，12，2： | 0 |
| 19 | Exploring the mechanism of action bitter melon in the treatment ofbreast cancer by network pharmacology显示文摘BACKGROUND Bitter melon has been used to stop the growth of breast cancer(BRCA)cells.However,the underlying mechanism is still unclear.AIM To predict the therapeutic effect of bitter melon against BRCA using network pharmacology and to explore the underlying pharmacological mechanisms.METHODS The active ingredients of bitter melon and the related protein targets were taken from the Indian Medicinal Plants,Phytochemistry and Therapeutics and SuperPred databases,respectively.The GeneCards database has been searched for BRCA-related targets.Through an intersection of the drug’s targets and the disease’s objectives,prospective bitter melon anti-BRCA targets were discovered.Gene ontology and kyoto encyclopedia of genes and genomes enrichment analyses were carried out to comprehend the biological roles of the target proteins.The binding relationship between bitter melon’s active ingredients and the suggested target proteins was verified using molecular docking techniques.RESULTS Three key substances,momordicoside K,kaempferol,and quercetin,were identified as being important in mediating the putative anti-BRCA effects of bitter melon through the active ingredient-anti-BRCA target network study.Heat shock protein 90 AA,proto-oncogene tyrosine-protein kinase,and signal transducer and activator of transcription 3 were found to be the top three proteins in the proteinprotein interaction network study.The several pathways implicated in the anti-BRCA strategy for an active component include phosphatidylinositol 3-kinase/protein kinase B signaling,transcriptional dysregulation,axon guidance,calcium signaling,focal adhesion,janus kinase-signal transducer and activator of transcription signaling,cyclic adenosine monophosphate signaling,mammalian CONCLUSION Overall,the integration of network pharmacology,molecular docking,and functional enrichment analyses shed light on potential mechanisms underlying bitter melon’s ability to fight BRCA,implicating active ingredients and protein targets,as well as highlighting the major signaling pathways that may be altered by this natural product for therapeutic benefit. | Kavan Panchal Bhavya Nihalani Utsavi Oza Aarti Panchal Bhumi Shah | 2023 | World Journal of Experimental Medicine2023，13，5： | 0 |
| 20 | Recovery of Sillimanite from Beach Sands--An Operator's Nightmare?显示文摘 | Chivukula Venkata Gopala Krishna Murty Leon Rademeyer Natarajan JaiSankar Patruni Bhavya Manjeera Prasana-sampath Challa Venkata Ramachandra Murthy | 2013 | Journal of Earth Science and Engineering2013，3，4： | 0 |
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