Atlas simulation based study of recessed source/drain SOI mosfets

Front gate and back gate threshold voltage, potential distributions and sub threshold swing of recessed source/drain ultra-thin body silicon on insulator mosfets are simulated and analyzed in a vivid manner with extreme meticulousness. Analysis and comparative study of the electrical characteristics of Re s/d UTB SOI mosfets with that of conventional FD SOI mosfets has been done. Structures of conventional soi mosfet and Re s/d mosfets is simulated with the help of software like ATLAS

MisGUIDE : Defense Against Data-Free Deep Learning Model Extraction

The rise of Machine Learning as a Service (MLaaS) has led to the widespread deployment of machine learning models trained on diverse datasets. These models are employed for predictive services through APIs, raising concerns about the security and confidentiality of the models due to emerging vulnerabilities in prediction APIs. Of particular concern are model cloning attacks, where individuals with limited data and no knowledge of the training dataset manage to replicate a victim model's functionality through black-box query access. This commonly entails generating adversarial queries to query the victim model, thereby creating a labeled dataset. This paper proposes "MisGUIDE", a two-step defense framework for Deep Learning models that disrupts the adversarial sample generation process by providing a probabilistic response when the query is deemed OOD. The first step employs a Vision Transformer-based framework to identify OOD queries, while the second step perturbs the response for such queries, introducing a probabilistic loss function to MisGUIDE the attackers. The aim of the proposed defense method is to reduce the accuracy of the cloned model while maintaining accuracy on authentic queries. Extensive experiments conducted on two benchmark datasets demonstrate that the proposed framework significantly enhances the resistance against state-of-the-art data-free model extraction in black-box settings.Comment: Under Revie

Analysis of color histogram based similarity search and retrieval strategy of videos in Video on Demand systems

The advent of the internet and smart hand held devices have driven the explosion of multimedia data especially video data. It has become difficult for the end user to get his desired content in a stipulated time as services like video-on-demand systems and video share Web, the major contributors of video data, has led to the ever growing quantity of video databases. This has led to extensive research in the field of video similarity search for content-based video retrieval. Traditional methods of content based retrieval strategies are computationally expensive and do not consider the temporal features of a video. Hence a fast content based scalable similarity search strategy has been an active area of research. There are two primary challenges regarding visual similarity search problem: video similarity measure and fast search method in large database. A compact signature of video is computed according to image histogram by extracting frames of a video. The video similarity is measured by the computation of the distance of signature of video. A search method based on clustering index table by index clustering and scoring using different parameters was analyzed

Mast Cell Tumour in a Dog and Its Surgical Management

Abstract An 8-year-old male Labrador dog was presented with a history of inappetence, occasional bloody diarrhoea and two ulcerated pea-nut sized swelling in the groin region. On the basis of complete blood cell count and cytological examination of the tumour aspirate it was diagnosed as a case of mast cell tumour. Under general anaesthesia the tumour nodules were excised and three doses of vincrystine sulphate were given at recommended dose with dextrose normal saline. Post-operatively antibiotics, analgesics and supportive therapy were followed and the dog recovered well without any recurrence

MANAGEMENT OF ARRHYTHMIA AND MYOCARDIAL INJURY ASSOCIATED WITH BRONCHIAL CONGESTION IN A DOG

A one and half years old male Pug dog was brought to the clinic with symptoms of inappetance, nocturnal coughing and occasional loss of consciousness since last two weeks. The c-arm revealed bronchial congestion and cardiac arrhythmia was detected in the ECG. Analysis of myocardial injury markers i.e. CKMB, LDH and SGOT levels in the serum revealed myocardial injury. The dog was treated with antibiotic Doxycycline and a corticosteroid Prednisolone. After seven days of treatment antibiotic and corticosteroid therapy were discontinued. The symptoms gradually disappeared after seven days of treatment and the Electrocardiogram was again recorded which revealed normal cardiac rhythm

Physics Potential of the ICAL detector at the India-based Neutrino Observatory (INO)

The upcoming 50 kt magnetized iron calorimeter (ICAL) detector at the India-based Neutrino Observatory (INO) is designed to study the atmospheric neutrinos and antineutrinos separately over a wide range of energies and path lengths. The primary focus of this experiment is to explore the Earth matter effects by observing the energy and zenith angle dependence of the atmospheric neutrinos in the multi-GeV range. This study will be crucial to address some of the outstanding issues in neutrino oscillation physics, including the fundamental issue of neutrino mass hierarchy. In this document, we present the physics potential of the detector as obtained from realistic detector simulations. We describe the simulation framework, the neutrino interactions in the detector, and the expected response of the detector to particles traversing it. The ICAL detector can determine the energy and direction of the muons to a high precision, and in addition, its sensitivity to multi-GeV hadrons increases its physics reach substantially. Its charge identification capability, and hence its ability to distinguish neutrinos from antineutrinos, makes it an efficient detector for determining the neutrino mass hierarchy. In this report, we outline the analyses carried out for the determination of neutrino mass hierarchy and precision measurements of atmospheric neutrino mixing parameters at ICAL, and give the expected physics reach of the detector with 10 years of runtime. We also explore the potential of ICAL for probing new physics scenarios like CPT violation and the presence of magnetic monopoles.Comment: 139 pages, Physics White Paper of the ICAL (INO) Collaboration, Contents identical with the version published in Pramana - J. Physic

Amino Acid Compositions of 27 Food Fishes and Their Importance in Clinical Nutrition

Proteins and amino acids are important biomolecules which regulate key metabolic pathways and serve as precursors for synthesis of biologically important substances; moreover, amino acids are building blocks of proteins. Fish is an important dietary source of quality animal proteins and amino acids and play important role in human nutrition. In the present investigation, crude protein content and amino acid compositions of important food fishes from different habitats have been studied. Crude protein content was determined by Kjeldahl method and amino acid composition was analyzed by high performance liquid chromatography and information on 27 food fishes was generated. The analysis showed that the cold water species are rich in lysine and aspartic acid, marine fishes in leucine, small indigenous fishes in histidine, and the carps and catfishes in glutamic acid and glycine. The enriched nutrition knowledge base would enhance the utility of fish as a source of quality animal proteins and amino acids and aid in their inclusion in dietary counseling and patient guidance for specific nutritional needs

Air pollution from household solid fuel combustion in India: an overview of exposure and health related information to inform health research priorities

Environmental and occupational risk factors contribute to nearly 40% of the national burden of disease in India, with air pollution in the indoor and outdoor environment ranking amongst leading risk factors. It is now recognized that the health burden from air pollution exposures that primarily occur in the rural indoors, from pollutants released during the incomplete combustion of solid fuels in households, may rival or even exceed the burden attributable to urban outdoor exposures. Few environmental epidemiological efforts have been devoted to this setting, however. We provide an overview of important available information on exposures and health effects related to household solid fuel use in India, with a view to inform health research priorities for household air pollution and facilitate being able to address air pollution within an integrated rural–urban framework in the future

Dynamics of Hot QCD Matter -- Current Status and Developments

The discovery and characterization of hot and dense QCD matter, known as Quark Gluon Plasma (QGP), remains the most international collaborative effort and synergy between theorists and experimentalists in modern nuclear physics to date. The experimentalists around the world not only collect an unprecedented amount of data in heavy-ion collisions, at Relativistic Heavy Ion Collider (RHIC), at Brookhaven National Laboratory (BNL) in New York, USA, and the Large Hadron Collider (LHC), at CERN in Geneva, Switzerland but also analyze these data to unravel the mystery of this new phase of matter that filled a few microseconds old universe, just after the Big Bang. In the meantime, advancements in theoretical works and computing capability extend our wisdom about the hot-dense QCD matter and its dynamics through mathematical equations. The exchange of ideas between experimentalists and theoreticians is crucial for the progress of our knowledge. The motivation of this first conference named "HOT QCD Matter 2022" is to bring the community together to have a discourse on this topic. In this article, there are 36 sections discussing various topics in the field of relativistic heavy-ion collisions and related phenomena that cover a snapshot of the current experimental observations and theoretical progress. This article begins with the theoretical overview of relativistic spin-hydrodynamics in the presence of the external magnetic field, followed by the Lattice QCD results on heavy quarks in QGP, and finally, it ends with an overview of experiment results.Comment: Compilation of the contributions (148 pages) as presented in the `Hot QCD Matter 2022 conference', held from May 12 to 14, 2022, jointly organized by IIT Goa & Goa University, Goa, Indi

The DUNE Far Detector Interim Design Report, Volume 3: Dual-Phase Module

The DUNE IDR describes the proposed physics program and technical designs of the DUNE far detector modules in preparation for the full TDR to be published in 2019. It is intended as an intermediate milestone on the path to a full TDR, justifying the technical choices that flow down from the high-level physics goals through requirements at all levels of the Project. These design choices will enable the DUNE experiment to make the ground-breaking discoveries that will help to answer fundamental physics questions. Volume 3 describes the dual-phase module's subsystems, the technical coordination required for its design, construction, installation, and integration, and its organizational structure