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  1. Article: Cable Ties: Poor Man's Top Closure System.

    Choudhary, Aditya Narayan / Kumar, Sanjeev

    Indian journal of plastic surgery : official publication of the Association of Plastic Surgeons of India

    2023  Volume 56, Issue 2, Page(s) 182–184

    Abstract: Scalp electrical burns unsuitable for primary closure after debridement have traditionally been treated by modalities that cause significant morbidity and are aesthetically inferior to tension-free primary wound closure. Due to advances in research on ... ...

    Abstract Scalp electrical burns unsuitable for primary closure after debridement have traditionally been treated by modalities that cause significant morbidity and are aesthetically inferior to tension-free primary wound closure. Due to advances in research on the biomechanical properties of skin, various devices for skin stretching and safe wound closure have been reported in the literature that are expensive and inaccessible to poor people in the developing countries. We present our experience using cable ties as an effective, easy to use, readily available, and inexpensive top closure system.
    Language English
    Publishing date 2023-04-10
    Publishing country Germany
    Document type Case Reports
    ZDB-ID 2118680-7
    ISSN 1998-376X ; 0970-0358
    ISSN (online) 1998-376X
    ISSN 0970-0358
    DOI 10.1055/s-0043-1761179
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  2. Article ; Online: Gels in Motion: Recent Advancements in Energy Applications.

    Singh, Aditya Narayan / Meena, Abhishek / Nam, Kyung-Wan

    Gels (Basel, Switzerland)

    2024  Volume 10, Issue 2

    Abstract: Gels are attracting materials for energy storage technologies. The strategic development of hydrogels with enhanced physicochemical properties, such as superior mechanical strength, flexibility, and charge transport capabilities, introduces novel ... ...

    Abstract Gels are attracting materials for energy storage technologies. The strategic development of hydrogels with enhanced physicochemical properties, such as superior mechanical strength, flexibility, and charge transport capabilities, introduces novel prospects for advancing next-generation batteries, fuel cells, and supercapacitors. Through a refined comprehension of gelation chemistry, researchers have achieved notable progress in fabricating hydrogels endowed with stimuli-responsive, self-healing, and highly stretchable characteristics. This mini-review delineates the integration of hydrogels into batteries, fuel cells, and supercapacitors, showcasing compelling instances that underscore the versatility of hydrogels, including tailorable architectures, conductive nanostructures, 3D frameworks, and multifunctionalities. The ongoing application of creative and combinatorial approaches in functional hydrogel design is poised to yield materials with immense potential within the domain of energy storage.
    Language English
    Publishing date 2024-02-02
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2813982-3
    ISSN 2310-2861 ; 2310-2861
    ISSN (online) 2310-2861
    ISSN 2310-2861
    DOI 10.3390/gels10020122
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  3. Article ; Online: Continuous monitoring of eating and sleeping behaviors in the home environments of older adults

    Aditya Narayan / Margo Goncharova / Max Goncharov / Andrew Gostine / Nirav R. Shah / Robert M. Kaplan

    Frontiers in Public Health, Vol

    a case study demonstration

    2024  Volume 11

    Abstract: Accurate observation of patient functioning is necessary for rigorous clinical research and for improving the quality of patient care. However, clinic or laboratory environments systematically differ from the contexts of everyday life. Further, ... ...

    Abstract Accurate observation of patient functioning is necessary for rigorous clinical research and for improving the quality of patient care. However, clinic or laboratory environments systematically differ from the contexts of everyday life. Further, assessments that are completed in a single institutional session may not be generalizable. Here, we describe a computer vision methodology that measures human functioning continuously in the environments where patients live, sleep, and eat.
    Keywords computer vision ; activities of daily living ; aging in place seniors ; artifical inteligence ; digital health ; Public aspects of medicine ; RA1-1270
    Language English
    Publishing date 2024-01-01T00:00:00Z
    Publisher Frontiers Media S.A.
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Book ; Online: Utilizing Free Clients in Federated Learning for Focused Model Enhancement

    Ravi, Aditya Narayan / Shomorony, Ilan

    2023  

    Abstract: Federated Learning (FL) is a distributed machine learning approach to learn models on decentralized heterogeneous data, without the need for clients to share their data. Many existing FL approaches assume that all clients have equal importance and ... ...

    Abstract Federated Learning (FL) is a distributed machine learning approach to learn models on decentralized heterogeneous data, without the need for clients to share their data. Many existing FL approaches assume that all clients have equal importance and construct a global objective based on all clients. We consider a version of FL we call Prioritized FL, where the goal is to learn a weighted mean objective of a subset of clients, designated as priority clients. An important question arises: How do we choose and incentivize well aligned non priority clients to participate in the federation, while discarding misaligned clients? We present FedALIGN (Federated Adaptive Learning with Inclusion of Global Needs) to address this challenge. The algorithm employs a matching strategy that chooses non priority clients based on how similar the models loss is on their data compared to the global data, thereby ensuring the use of non priority client gradients only when it is beneficial for priority clients. This approach ensures mutual benefits as non priority clients are motivated to join when the model performs satisfactorily on their data, and priority clients can utilize their updates and computational resources when their goals align. We present a convergence analysis that quantifies the trade off between client selection and speed of convergence. Our algorithm shows faster convergence and higher test accuracy than baselines for various synthetic and benchmark datasets.

    Comment: 26 pages, 6 figures
    Keywords Computer Science - Machine Learning ; Computer Science - Artificial Intelligence
    Subject code 006
    Publishing date 2023-10-06
    Publishing country us
    Document type Book ; Online
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  5. Article: Cable Ties: Poor Man's Top Closure System

    Choudhary, Aditya Narayan / Kumar, Sanjeev

    Indian Journal of Plastic Surgery

    2023  Volume 56, Issue 02, Page(s) 182–184

    Abstract: Scalp electrical burns unsuitable for primary closure after debridement have traditionally been treated by modalities that cause significant morbidity and are aesthetically inferior to tension-free primary wound closure. Due to advances in research on ... ...

    Abstract Scalp electrical burns unsuitable for primary closure after debridement have traditionally been treated by modalities that cause significant morbidity and are aesthetically inferior to tension-free primary wound closure. Due to advances in research on the biomechanical properties of skin, various devices for skin stretching and safe wound closure have been reported in the literature that are expensive and inaccessible to poor people in the developing countries. We present our experience using cable ties as an effective, easy to use, readily available, and inexpensive top closure system.
    Keywords electric burn ; top closure ; cable ties
    Language English
    Publishing date 2023-04-01
    Publisher Thieme Medical and Scientific Publishers Pvt. Ltd.
    Publishing place Stuttgart ; New York
    Document type Article
    ZDB-ID 2118680-7
    ISSN 1998-376X ; 0970-0358
    ISSN (online) 1998-376X
    ISSN 0970-0358
    DOI 10.1055/s-0043-1761179
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  6. Article ; Online: LexicHash: sequence similarity estimation via lexicographic comparison of hashes.

    Greenberg, Grant / Ravi, Aditya Narayan / Shomorony, Ilan

    Bioinformatics (Oxford, England)

    2023  Volume 39, Issue 11

    Abstract: Motivation: Pairwise sequence alignment is a heavy computational burden, particularly in the context of third-generation sequencing technologies. This issue is commonly addressed by approximately estimating sequence similarities using a hash-based ... ...

    Abstract Motivation: Pairwise sequence alignment is a heavy computational burden, particularly in the context of third-generation sequencing technologies. This issue is commonly addressed by approximately estimating sequence similarities using a hash-based method such as MinHash. In MinHash, all k-mers in a read are hashed and the minimum hash value, the min-hash, is stored. Pairwise similarities can then be estimated by counting the number of min-hash matches between a pair of reads, across many distinct hash functions. The choice of the parameter k controls an important tradeoff in the task of identifying alignments: larger k-values give greater confidence in the identification of alignments (high precision) but can lead to many missing alignments (low recall), particularly in the presence of significant noise.
    Results: In this work, we introduce LexicHash, a new similarity estimation method that is effectively independent of the choice of k and attains the high precision of large-k and the high sensitivity of small-k MinHash. LexicHash is a variant of MinHash with a carefully designed hash function. When estimating the similarity between two reads, instead of simply checking whether min-hashes match (as in standard MinHash), one checks how "lexicographically similar" the LexicHash min-hashes are. In our experiments on 40 PacBio datasets, the area under the precision-recall curves obtained by LexicHash had an average improvement of 20.9% over MinHash. Additionally, the LexicHash framework lends itself naturally to an efficient search of the largest alignments, yielding an O(n) time algorithm, and circumventing the seemingly fundamental O(n2) scaling associated with pairwise similarity search.
    Availability and implementation: LexicHash is available on GitHub at https://github.com/gcgreenberg/LexicHash.
    MeSH term(s) Software ; Sequence Analysis, DNA/methods ; Algorithms ; High-Throughput Nucleotide Sequencing/methods ; Sequence Alignment
    Language English
    Publishing date 2023-10-25
    Publishing country England
    Document type Journal Article
    ZDB-ID 1422668-6
    ISSN 1367-4811 ; 1367-4803
    ISSN (online) 1367-4811
    ISSN 1367-4803
    DOI 10.1093/bioinformatics/btad652
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  7. Article ; Online: Application of Artificial Neural Network for Internal Combustion Engines: A State of the Art Review.

    Bhatt, Aditya Narayan / Shrivastava, Nitin

    Archives of computational methods in engineering : state of the art reviews

    2021  Volume 29, Issue 2, Page(s) 897–919

    Abstract: The automotive industry is facing a crucial time. The transformation from internal combustion engines to new electrical technologies requires enormous investment, and hence the IC engines are likely to serve as a means of transportation for the coming ... ...

    Abstract The automotive industry is facing a crucial time. The transformation from internal combustion engines to new electrical technologies requires enormous investment, and hence the IC engines are likely to serve as a means of transportation for the coming decades. The search for sustainable green alternative fuel and operating parameter optimization is a current feasible solution and is a critical issue among the scientific community. Engine experiments are complicated, costly, and time-consuming, especially when the global economy is drastically down due to the COVID-19 pandemic and putting the limitation of social distancing. Industries are looking for proven computational solutions to address these issues. Recently, artificial neural network has been proven beneficial in several areas of engineering to reduce the time and experimentation cost. The IC engine is one of them. ANN has been used to predict and analyze different characteristics such as performance, combustion, and emissions of the IC engine to save time and energy. The complex nature of ANN may lead to computation time, energy, and space. Recent studies are centered on changing the network topology, deep learning, and design of ANN to get the highest performance. The present study summarizes the application of ANN to predict and optimize the complicated characteristics of various types of engines with different fuels. The study aims to investigate the network topologies adopted to design the model and thereafter statistical evaluation of the developed ANN models. A comparison of the ANN model with other prediction models is also presented.
    Language English
    Publishing date 2021-05-03
    Publishing country Netherlands
    Document type Journal Article ; Review
    ZDB-ID 2276736-8
    ISSN 1886-1784 ; 1134-3060
    ISSN (online) 1886-1784
    ISSN 1134-3060
    DOI 10.1007/s11831-021-09596-5
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  8. Article ; Online: Decoding the puzzle: recent breakthroughs in understanding degradation mechanisms of Li-ion batteries.

    Singh, Aditya Narayan / Hassan, Kamrul / Bathula, Chinna / Nam, Kyung-Wan

    Dalton transactions (Cambridge, England : 2003)

    2023  Volume 52, Issue 46, Page(s) 17061–17083

    Abstract: Lithium-ion batteries (LIBs) remain at the forefront of energy research due to their capability to deliver high energy density. Understanding their degradation mechanism has been essential due to their rapid engagement in modern electric vehicles (EVs), ... ...

    Abstract Lithium-ion batteries (LIBs) remain at the forefront of energy research due to their capability to deliver high energy density. Understanding their degradation mechanism has been essential due to their rapid engagement in modern electric vehicles (EVs), where battery failure may incur huge losses to human life and property. The literature on this intimidating issue is rapidly growing and often very complex. This review strives to succinctly present current knowledge contributing to a more comprehensible understanding of the degradation mechanism. First, this review explains the fundamentals of LIBs and various degradation mechanisms. Then, the degradation mechanism of novel Li-rich cathodes, advanced characterization techniques for identifying it, and various theoretical models are presented and discussed. We emphasize that the degradation process is not only tied to the charge-discharge cycles; synthesis-induced stress also plays a vital role in catalyzing the degradation. Finally, we propose further studies on advanced battery materials that can potentially replace the layered cathodes.
    Language English
    Publishing date 2023-11-28
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 1472887-4
    ISSN 1477-9234 ; 1364-5447 ; 0300-9246 ; 1477-9226
    ISSN (online) 1477-9234 ; 1364-5447
    ISSN 0300-9246 ; 1477-9226
    DOI 10.1039/d3dt02957c
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  9. Article ; Online: Remarkably Enhanced Lattice Oxygen Participation in Perovskites to Boost Oxygen Evolution Reaction

    Aditya Narayan Singh / Amir Hajibabaei / Muhammad Hanif Diorizky / Qiankai Ba / Kyung-Wan Nam

    Nanomaterials, Vol 13, Iss 905, p

    2023  Volume 905

    Abstract: Enhancing the participation of the lattice oxygen mechanism (LOM) in several perovskites to significantly boost the oxygen evolution reaction (OER) is daunting. With the rapid decline in fossil fuels, energy research is turning toward water splitting to ... ...

    Abstract Enhancing the participation of the lattice oxygen mechanism (LOM) in several perovskites to significantly boost the oxygen evolution reaction (OER) is daunting. With the rapid decline in fossil fuels, energy research is turning toward water splitting to produce usable hydrogen by significantly reducing overpotential for other half-cells’ OER. Recent studies have shown that in addition to the conventional adsorbate evolution mechanism (AEM), participation of LOM can overcome their prevalent scaling relationship limitations. Here, we report the acid treatment strategy and bypass the cation/anion doping strategy to significantly enhance LOM participation. Our perovskite demonstrated a current density of 10 mA cm −2 at an overpotential of 380 mV and a low Tafel slope (65 mV dec −1 ) much lower than IrO 2 (73 mV dec −1 ). We propose that the presence of nitric acid-induced defects regulates the electronic structure and thereby lowers oxygen binding energy, allowing enhanced LOM participation to boost OER significantly.
    Keywords perovskites ; oxygen evolution reaction ; lattice oxygen mechanism ; adsorbate evolution mechanism ; Chemistry ; QD1-999
    Language English
    Publishing date 2023-02-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
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  10. Article: An enhanced method for the removal of methyl violet dye using magnetite nanoparticles as an adsorbent: Isotherm, kinetic and thermodynamic study.

    Tiwari, Aditya Narayan / Tapadia, Kavita / Thakur, Chandrakant

    Water science and technology : a journal of the International Association on Water Pollution Research

    2022  Volume 86, Issue 4, Page(s) 625–642

    Abstract: A green method has been developed using Gilloy (Tinospora Cordifolia) shoot extract to synthesize magnetic nanoparticles (MNPs). A further modification of MNPs was performed using anionic surfactant sodium dodecyl sulphate (SDS), to remove cationic dye ... ...

    Abstract A green method has been developed using Gilloy (Tinospora Cordifolia) shoot extract to synthesize magnetic nanoparticles (MNPs). A further modification of MNPs was performed using anionic surfactant sodium dodecyl sulphate (SDS), to remove cationic dye methyl violet (MV) efficiently from the solution. As an adsorbent, SDS modified MNPs (SDS-MNPs) were tested for their ability to remove MV dye. Synthesized MNPs were characterized by ultra violet-visible spectroscopy (UV-VIS), X-ray diffraction spectroscopy (XRD), Fourier transform infrared spectroscopy (FT-IR), and scanning electron microscopy (SEM). In batch adsorption experiments, the effect of adsorbent dosage, initial dye concentration, time, and pH was evaluated. The maximum adsorption capacity of the adsorbent for MV dye was found to be 174.2 mg g
    MeSH term(s) Adsorption ; Coloring Agents/chemistry ; Gentian Violet ; Hydrogen-Ion Concentration ; Kinetics ; Magnetite Nanoparticles ; Spectroscopy, Fourier Transform Infrared ; Thermodynamics ; Water Pollutants, Chemical/chemistry
    Chemical Substances Coloring Agents ; Magnetite Nanoparticles ; Water Pollutants, Chemical ; Gentian Violet (J4Z741D6O5)
    Language English
    Publishing date 2022-08-29
    Publishing country England
    Document type Journal Article
    ZDB-ID 764273-8
    ISSN 1996-9732 ; 0273-1223
    ISSN (online) 1996-9732
    ISSN 0273-1223
    DOI 10.2166/wst.2022.225
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