Publications by authors named "Prakash K"

Semantic segmentation of high-resolution images from remote sensing is crucial across various sectors. However, due to limitations in computational resources and the complexity of network architectures, many sophisticated semantic segmentation models struggle with efficiency in real-world applications, leading to an interest in developing lightweight model like borders. These models often employ a dual-branch structure, which balances processing speed and performance effectively.

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In response to the ongoing quest for more efficient renewable energy sources, this research addresses a significant gap in understanding the performance variations of Solar Chimney Power Plant (SCPP) models, particularly focusing on the influence of flow parameters in full and half-inclined collector sections featuring semi-elliptical curvature. The motivation stems from the need to optimize SCPP designs for enhanced energy generation while minimizing resource utilization and environmental impact. This research focuses on investigating flow parameter variations in Solar Chimney Power Plant (SCPP) models with full and half-inclined collector sections featuring semi-elliptical curvature and variable semi-minor heights (b: 0.

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This study investigates the use of spoof surface plasmon polaritons (SSPPs) as an effective feeding mechanism for antennas functioning within the extremely high-frequency (EHF) range. A novel method is proposed for feeding a dielectric rod antenna with SSPPs, featuring a simple design made from FR-4 material with a relative permittivity of 4.3.

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  • The study investigates how cancer cells influence the fitness of surrounding tumor microenvironment (TME) cells through a mechanism involving a long non-coding RNA called Tu-Stroma, which alters the expression of Flower isoforms, impacting their growth advantage.
  • The expression of Flower Win isoforms in cancer cells enhances their dominance over TME cells that express Flower Lose isoforms, leading to reduced fitness in the TME.
  • Targeting Flower proteins with a humanized monoclonal antibody in mice has shown promising results, significantly reducing cancer growth and metastasis while improving survival rates and protecting organs from potential lesions.
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Covalent organic frameworks (COFs) with high porosity and redox-active properties have been advanced as electrode materials for energy storage systems, although poor electron conductivity and inaccessibility of active pore sites hinder their performance as electrode material for supercapacitor application. Thus, incorporation of a COF with various conductive materials can be an effective strategy to improve their electrochemical performances for supercapacitors. Herein, we report the synthesis of POR-COF@g-CN composites by fabricating a porphyrin-based COF on g-CN via in situ solvothermal conditions.

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  • Parkinson's disease (PD) is a progressive movement disorder becoming more common due to an aging population, and researchers aimed to explore rare genetic variants that could help explain its development.
  • Whole-exome sequencing was conducted on a large group of PD cases and controls of Asian ancestry, revealing significant links between the genes GBA1 and SMPD1 and the risk of developing PD, confirmed in additional samples.
  • The research found that specific SMPD1 variants that reduced enzyme activity were particularly associated with PD risk, with a prominent Asian-specific variant being common among carriers.
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This research explores the design of an infrared (IR) photodetector using mercury cadmium telluride (HgCdTe). It proposes two- and three-dimensional homojunction models based on p-HgCdTe/n-HgCdTe, focusing on applications in the long-wavelength infrared range. The photodetector's performance is analyzed using Silvaco ATLAS TCAD software and compared with analytical calculations based on drift-diffusion, tunneling, and Chu's approximation techniques.

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  • Perceived social support plays a crucial role in predicting the severity of PTSD and complex PTSD symptoms after experiencing trauma, but gender differences in responses to this support have not been extensively studied.
  • In a study involving 2,483 adults across 39 countries, it was found that females reported higher PTSD and complex PTSD symptoms compared to males, while no significant gender differences in perceived social support were observed.
  • Both male and female participants with low perceived social support experienced greater PTSD and complex PTSD symptoms, with some evidence suggesting that the relationship between perceived social support and PTSD symptoms might be stronger for males.
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A novel photoinduced Fe(OTf)/2,4,6-collidine-catalyzed alkylation of Morita-Baylis-Hillman (MBH) acetates using carboxylic acids in a regio- and stereoselective manner is reported. This method demonstrates a broad scope, encompassing various carboxylic acids and MBH acetates, including drugs and bioactive molecules, to synthesize densely functionalized cinnamates and acrylates. The reactions are performed in the green solvent dimethyl carbonate under oxidant-free conditions.

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Tomato is a widely cultivated crop significant for its economic and nutritional benefits. The South American tomato pinworm, , originated in Peru South America and has invaded many nations, causing up to 100% yield loss in tomatoes. The pest was classified as a quarantine pest by the European Plant Protection Organization, before invading the Spain region.

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Antibiotic resistance poses a persistent threat to modern medicine due to the emergence of novel antibiotic-resistant strains. Therefore, a timely understanding of antibiotic resistance and the virulence biology of pathogenic bacteria, particularly those of public health significance, is crucial for implementing effective mitigation strategies. This study aimed to investigate the virulence profiles of ten S.

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  • Susceptibility map weighted imaging (SMWI) and quantitative susceptibility mapping (QSM) improve the evaluation of nigrosome-1 (N1) and assist in diagnosing Parkinson's disease through deep learning classification algorithms.
  • The study compared four diagnostic methods for Parkinson's disease, including a composite marker, two different deep learning models focused on morphological abnormalities and volume, and traditional neuroradiological evaluations.
  • Results showed high classification performance across all methods, with the QSM-NMS marker and neuroradiologist evaluations performing the best, indicating good clinical relevance, though further validation is needed for earlier stages of the disease.
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Childhood maltreatment (CM) is thought to be associated with altered responses to social stimuli and interpersonal signals. However, limited evidence exists that CM is linked to larger comfortable interpersonal distance (CID) - the physical distance humans prefer towards others during social interactions. However, no previous study has investigated this association in a comprehensive sample, yielding sufficient statistical power.

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Background: The purpose of this study was to understand how transplant infectious disease (TID) physicians assess a potential donor with known or suspected infection and describe posttransplant management.

Methods: We designed a survey of 10 organ offer scenarios and asked questions pertaining to organ acceptability for transplantation and management posttransplant. The survey was distributed to TID clinicians via transplant society listservs and email.

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In single-molecule microscopy, a big question is how precisely we can estimate the location of a single molecule. Our research shows that by using iterative localisation microscopy and factoring in the prior information, we can boost precision and reduce the number of photons needed. Leveraging the Van Trees inequality aids in determining the optimal precision achievable.

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Background And Objectives: Academic productivity is viewed as a critical objective factor for a neurosurgery residency applicant. There has been a consistent rise in academic productivity over the last decade, but a lack of consistent data on the utility of this in helping neurosurgery residency programs identify which applicants will enter academic neurosurgery. This cross-sectional study evaluates the predictiveness of academic productivity before and during residency on career choice, both independent and dependent of training environment.

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This research investigates the impact of hybrid particles dispersed onto the surface of a copper matrix using Friction Stir Processing (FSP) on its microstructural, mechanical, and corrosion behavior. The hybrid particles under study consist of equal fractions of Aluminium Nitride (AlN) and Boron Nitride (BN). Microstructural characterization confirms breakdown of grain size due to dynamic recrystallization and presence of particles, along with their effective bonding to copper matrix.

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Purpose/objectives: This study proposes the utilization of a Natural Language Processing tool to create a semantic search engine for dental education while addressing the increasing concerns of accuracy, bias, and hallucination in outputs generated by AI tools. The paper focuses on developing and evaluating DentQA, a specialized question-answering tool that makes it easy for students to seek information to access information located in handouts or study material distributed by an institution.

Methods: DentQA is structured upon the GPT3.

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