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  1. Article: Providing meaningful survival benefit to hepatocellular carcinoma patients: combination therapy of future.

    Sarkar, Devanand

    Hepatobiliary surgery and nutrition

    2022  Volume 11, Issue 5, Page(s) 779–781

    Language English
    Publishing date 2022-10-06
    Publishing country China (Republic : 1949- )
    Document type Editorial ; Comment
    ZDB-ID 2812398-0
    ISSN 2304-389X ; 2304-3881
    ISSN (online) 2304-389X
    ISSN 2304-3881
    DOI 10.21037/hbsn-22-322
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Book ; Online: Towards Universal Atomic Composability

    Sarkar, Dipankar

    A Formal Model for Multi-Rollup Environments on Ethereum

    2023  

    Abstract: In the rapidly evolving domain of distributed ledger technology, scalability and interoperability have become paramount challenges for both academic and industry sectors. In this paper, we introduce a comprehensive formal model to address atomic ... ...

    Abstract In the rapidly evolving domain of distributed ledger technology, scalability and interoperability have become paramount challenges for both academic and industry sectors. In this paper, we introduce a comprehensive formal model to address atomic composability across multiple rollups on Ethereum. The proposed model incorporates mechanisms like buffering, dependency management, concurrency control, and the groundbreaking zero-knowledge proofs. Moreover, we evaluate its practical repercussions, strengths, and weaknesses, ensuring resilience against manipulative or erroneous actions. The application of the proposed model to shared sequencers and other existing solutions accentuates its versatility and universality.
    Keywords Computer Science - Cryptography and Security
    Publishing date 2023-11-01
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Book ; Online: Centralized Intermediation in a Decentralized Web3 Economy

    Sarkar, Dipankar

    Value Accrual and Extraction

    2023  

    Abstract: The advent of Web3 has ushered in a new era of decentralized digital economy, promising a shift from centralized authority to distributed, peer-to-peer interactions. However, the underlying infrastructure of this decentralized ecosystem often relies on ... ...

    Abstract The advent of Web3 has ushered in a new era of decentralized digital economy, promising a shift from centralized authority to distributed, peer-to-peer interactions. However, the underlying infrastructure of this decentralized ecosystem often relies on centralized cloud providers, creating a paradoxical concentration of value and power. This paper investigates the mechanics of value accrual and extraction within the Web3 ecosystem, focusing on the roles and revenues of centralized clouds. Through an analysis of publicly available material, we elucidate the financial implications of cloud services in purportedly decentralized contexts. We further explore the individual's perspective of value creation and accumulation, examining the interplay between user participation and centralized monetization strategies. Key findings indicate that while blockchain technology has the potential to significantly reduce infrastructure costs for financial services, the current Web3 landscape is marked by a substantial reliance on cloud providers for hosting, scalability, and performance.
    Keywords Computer Science - Cryptography and Security
    Subject code 303
    Publishing date 2023-11-14
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Book ; Online: Generalised DePIN Protocol

    Sarkar, Dipankar

    A Framework for Decentralized Physical Infrastructure Networks

    2023  

    Abstract: This paper introduces the Generalised DePIN (GDP) protocol, a comprehensive framework for decentralized physical infrastructure networks. GDP establishes a modular system, enabling tailored application across sectors like ridesharing and power systems. ... ...

    Abstract This paper introduces the Generalised DePIN (GDP) protocol, a comprehensive framework for decentralized physical infrastructure networks. GDP establishes a modular system, enabling tailored application across sectors like ridesharing and power systems. Leveraging device onboarding, multi-sensor redundancy, and a reward/penalty mechanism, GDP promotes genuine behavior and ensures network-wide vigilance. Through continuous audits and updates, the protocol remains dynamic, ensuring sustainable decentralized operations.
    Keywords Computer Science - Cryptography and Security
    Publishing date 2023-11-01
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Book ; Online: Decentralized Deepfake Detection Blockchain Network using Dynamic Algorithm management

    Sarkar, Dipankar

    2023  

    Abstract: Deepfake technology is a major threat to the integrity of digital media. This paper presents a comprehensive framework for a blockchain-based decentralized system designed to tackle the escalating challenge of digital content integrity. The proposed ... ...

    Abstract Deepfake technology is a major threat to the integrity of digital media. This paper presents a comprehensive framework for a blockchain-based decentralized system designed to tackle the escalating challenge of digital content integrity. The proposed system integrates advanced deep learning algorithms with the immutable and transparent nature of blockchain technology to create a trustless environment where authenticity can be verified without relying on a single centralized authority. Furthermore, the system utilizes smart contracts for dynamic algorithm management and token-based incentives further enhances the system's effectiveness and adaptability. The decentralized architecture of the system democratizes the process of verifying digital content and introduces a novel approach to combat deepfakes. The collaborative and adjustable nature of this system sets a new benchmark for digital media integrity, offering a more robust digital media environment.
    Keywords Computer Science - Cryptography and Security
    Subject code 006
    Publishing date 2023-11-30
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Book ; Online: FairFlow Protocol

    Sarkar, Dipankar

    Equitable Maximal Extractable Value (MEV) mitigation in Ethereum

    2023  

    Abstract: Ethereum has emerged as a leading platform for decentralized applications (dApps) due to its robust smart contract capabilities. One of the critical issues in the Ethereum ecosystem is Maximal Extractable Value (MEV), a concept that has gained ... ...

    Abstract Ethereum has emerged as a leading platform for decentralized applications (dApps) due to its robust smart contract capabilities. One of the critical issues in the Ethereum ecosystem is Maximal Extractable Value (MEV), a concept that has gained significant attention in the blockchain community. However, MEV has remained a major challenge with significant implications for the platform's operation and integrity. This paper introduces the FairFlow protocol, a novel framework designed to mitigate the effects of MEV within Ethereum's existing infrastructure. The protocol aims to provide a more equitable environment, preventing exploitation by miners or validators, and protecting user data. The combined approach of auction-based block space allocation and randomized transaction ordering significantly reduces the potential for MEV exploitation.
    Keywords Computer Science - Cryptography and Security
    Publishing date 2023-12-19
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Book ; Online: Viz

    Sarkar, Dipankar

    A QLoRA-based Copyright Marketplace for Legally Compliant Generative AI

    2023  

    Abstract: This paper aims to introduce and analyze the Viz system in a comprehensive way, a novel system architecture that integrates Quantized Low-Rank Adapters (QLoRA) to fine-tune large language models (LLM) within a legally compliant and resource efficient ... ...

    Abstract This paper aims to introduce and analyze the Viz system in a comprehensive way, a novel system architecture that integrates Quantized Low-Rank Adapters (QLoRA) to fine-tune large language models (LLM) within a legally compliant and resource efficient marketplace. Viz represents a significant contribution to the field of artificial intelligence, particularly in addressing the challenges of computational efficiency, legal compliance, and economic sustainability in the utilization and monetization of LLMs. The paper delineates the scholarly discourse and developments that have informed the creation of Viz, focusing primarily on the advancements in LLM models, copyright issues in AI training (NYT case, 2023), and the evolution of model fine-tuning techniques, particularly low-rank adapters and quantized low-rank adapters, to create a sustainable and economically compliant framework for LLM utilization. The economic model it proposes benefits content creators, AI developers, and end-users, delineating a harmonious integration of technology, economy, and law, offering a comprehensive solution to the complex challenges of today's AI landscape.
    Keywords Computer Science - Machine Learning
    Publishing date 2023-12-31
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article ; Online: HCC-Related lncRNAs: Roles and Mechanisms.

    Shah, Mimansha / Sarkar, Devanand

    International journal of molecular sciences

    2024  Volume 25, Issue 1

    Abstract: Hepatocellular carcinoma (HCC) presents a significant global health threat, particularly in regions endemic to hepatitis B and C viruses, and because of the ongoing pandemic of obesity causing metabolic-dysfunction-related fatty liver disease (MAFLD), a ... ...

    Abstract Hepatocellular carcinoma (HCC) presents a significant global health threat, particularly in regions endemic to hepatitis B and C viruses, and because of the ongoing pandemic of obesity causing metabolic-dysfunction-related fatty liver disease (MAFLD), a precursor to HCC. The molecular intricacies of HCC, genetic and epigenetic alterations, and dysregulated signaling pathways facilitate personalized treatment strategies based on molecular profiling. Epigenetic regulation, encompassing DNA methyltion, histone modifications, and noncoding RNAs, functions as a critical layer influencing HCC development. Long noncoding RNAs (lncRNAs) are spotlighted for their diverse roles in gene regulation and their potential as diagnostic and therapeutic tools in cancer. In this review, we explore the pivotal role of lncRNAs in HCC, including MAFLD and viral hepatitis, the most prevalent risk factors for hepatocarcinogenesis. The dysregulation of lncRNAs is implicated in HCC progression by modulating chromatin regulation and transcription, sponging miRNAs, and influencing structural functions. The ongoing studies on lncRNAs contribute to a deeper comprehension of HCC pathogenesis and offer promising routes for precision medicine, highlighting the utility of lncRNAs as early biomarkers, prognostic indicators, and therapeutic targets.
    MeSH term(s) Humans ; Carcinoma, Hepatocellular/genetics ; RNA, Long Noncoding/genetics ; Epigenesis, Genetic ; Liver Neoplasms/genetics ; Bandages
    Chemical Substances RNA, Long Noncoding
    Language English
    Publishing date 2024-01-02
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2019364-6
    ISSN 1422-0067 ; 1422-0067 ; 1661-6596
    ISSN (online) 1422-0067
    ISSN 1422-0067 ; 1661-6596
    DOI 10.3390/ijms25010597
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: COVID 19 Pandemic: A Real-time Forecasts & Prediction of Confirmed Cases, Active Cases using the ARIMA model &Public Health in West Bengal, India.

    Sarkar, D.

    Abstract: Abstract Background: COVID-19 is an emerging infectious disease which has been declared a Pandemic by the World Health Organization (WHO) on March 11 2020. This pandemic has spread over the world in more than 200 countries. India is also adversely ... ...

    Abstract Abstract Background: COVID-19 is an emerging infectious disease which has been declared a Pandemic by the World Health Organization (WHO) on March 11 2020. This pandemic has spread over the world in more than 200 countries. India is also adversely affected by this pandemic, and there are no signs of slowing down of the virus in coming time. The absence of a vaccine for COVID-19 is making the situation worse for the already overstretched Indian public health care system. As economic burden makes it increasingly difficult for our country to continue imposing control measures, it is vital for states like West Bengal to make predictions using time series forecasting for the upcoming cases , test kits , health care and estimated the requirement of Quarantine centers, isolation beds, ICU beds and ventilators for COVID-19 patients . Objective: This study is forecasting the confirmed and active cases for COVID-19 until August, using time series ARIMA model & Public Health in West Bengal, India. Methods: We used ARIMA model, and Auto ARIMA model for forecasting confirmed and active cases till the end of August month using time series data of COVID-19 cases in West Bengal, India from March 1, 2020, to June 4, 2020. Discussion and Conclusion: This forecasts show a very crucial situation for West Bengal in coming days and, the actual numbers can go higher than our estimates of confirmed case as Lockdown 5.0 & Unlock 1.0 will be implemented from 1st June 2020 in India, West Bengal will be observing a partial lift of the lockdown and in that case, there will be a surge in the number of daily confirmed and active cases. The requirement of Health care sector needs to be further improved isolation beds, ICUs and ventilators will also be needed to increase in that scenario. Inter State & Intra State Movement restrictions are lifted. Hence, Migrants returning to their homes due to loss of livelihood and income in the lockdown period may lead to a rise in the number of cases, which could not be accounted for in our projections. We suggest more of Public-Private Partnership (PPP) model in the health sector to accommodate COVID-19 patients adequately and reduce the burden of the already overstretched Indian public health care system, which will directly or indirectly affect the States in the time of crisis. Keywords: COVID 19, India,West Bengal, Forecast, ARIMA, Public Health, State-level analysis.
    Keywords covid19
    Publisher MedRxiv; WHO
    Document type Article ; Online
    DOI 10.1101/2020.06.06.20124180
    Database COVID19

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  10. Article: A Review of Behavioral Tests to Evaluate Different Types of Anxiety and Anti-anxiety Effects.

    Sarkar, Deepa

    Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology

    2020  Volume 18, Issue 3, Page(s) 341–351

    Abstract: Behavioral tests are very useful to understand the Neuro-psychotic disease and also helpful in finding the treatment of the particular disease. Nowadays various tests are available to evaluate the anxiolytics effect of a new entity or even for ... ...

    Abstract Behavioral tests are very useful to understand the Neuro-psychotic disease and also helpful in finding the treatment of the particular disease. Nowadays various tests are available to evaluate the anxiolytics effect of a new entity or even for comparative studies with the standard drug. As per the ethics, a new compound or drug believes to have possible pharmacological effects should be tested on animals before tested on humans which have similar physiology than humans. First, rats were used for behavioral test for evaluation of anti-anxiety drug but later on the various strain of mice were added for evaluation of anxiolytics because of better genetic possibilities than rats. In this review article, we have discussed the most commonly used behavioral tests used to evaluate the anti-anxiety effect. Anxiolytics are the agent which are used to elevate anxiety effect produced due to any cause. The various parameter will be undertaken for the better and precise evaluation of anxiolytics.
    Language English
    Publishing date 2020-07-23
    Publishing country Korea (South)
    Document type Journal Article ; Review
    ZDB-ID 2211550-X
    ISSN 1738-1088
    ISSN 1738-1088
    DOI 10.9758/cpn.2020.18.3.341
    Database MEDical Literature Analysis and Retrieval System OnLINE

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