Nagpur Institute of Technology

Exosome therapy for hair loss: Separating scientific evidence from promotional gimmicks

To know about the scientific rationale behind exosome therapy for hair restoration, and to find out whether the products marketed as exosomes stand true to the science, we reviewed current literature to map out the biogenesis and cellular mechanisms of exosomes and then check rea...

Histogenesis of the human fetal liver: evaluation of hematopoietic to hepatocytic lineage transition markers across gestation

The human fetal liver undergoes sequential structural and functional maturation during gestation, serving initially as the primary hematopoietic organ before transitioning to a metabolically active gland.However, limited studies have correlated histological development with linea...

The Dark Side of AI : Examining Technology Overdependence, Accountability Laxity, and Negative Word‐of‐Mouth

ABSTRACT This study examines the dark side of artificial intelligence (AI) by looking at the impact of technology overdependence and accountability laxity on negative consumer behavior. The research used a sequential exploratory mixed method design consisting of grounded theory i...

Stakeholder perspectives on supply chain finance: a multi-methods approach

Purpose Despite the growing importance of supply chain finance (SCF) in global business operations, current research lacks a comprehensive understanding of how diverse stakeholders perceive, prioritize and engage with SCF mechanisms. This study addresses this gap by applying stak...

SecureXon: Design, Architecture, and Evaluation Methodology for an AI-Augmented Web Reconnaissance and Cybersecurity Threat-Intelligence Platform

The rapid expansion of internet-facing web applications has widened the attack surface available to automated scanners, botnets and malicious actors, while common weaknesses such as misconfigured servers, unpatched software, obsolete transport-layer encryption and missing HTTP se...

Diversity and Seasonal Variations of Butterflies with reference to different Habitats in Hingna Tehsil Dist: Nagpur (M.S)

Abstract:Present study carried out to assess baseline status of butterflies in and around of Hingna Tehsil, Maharashtrafrom March 2023 to February 2024. This study will help to assess whether modifying natural habitats forinfrastuructal and industrialization has an impact on the...

Diversity and Seasonal Variations of Butterflies with reference to different Habitats in Hingna Tehsil Dist: Nagpur (M.S)

Abstract:Present study carried out to assess baseline status of butterflies in and around of Hingna Tehsil, Maharashtrafrom March 2023 to February 2024. This study will help to assess whether modifying natural habitats forinfrastuructal and industrialization has an impact on the...

Volatility-adaptive temporal learning framework using hybrid ARIMA-QuadGRU attention for multi-regime financial forecasting

Abstract Conventional financial market forecasting models are challenged by the non-stationarity, the existence of regime changes, the presence of structural breaks, and the phenomena of volatility clustering in financial markets. Linear approaches have only limited accuracy in t...

Secretagogin immunoreactivity in the forebrain, midbrain and pituitary of the three spot gourami, Trichopodus trichopterus (Pallas, 1770)

Abstract Secretagogin (SCGN), a calcium‐binding protein (CBP) implicated in neuroendocrine signaling, was investigated for its spatial distribution in the forebrain, midbrain, and pituitary of the three spot gourami, Trichopodus trichopterus, a representative labyrinthine teleost...

A robust CurvLaneNet-YOLO framework for real-time lane curvature estimation and vehicle detection in intelligent transportation applications

Abstract Current road safety systems face challenges in detecting curved roads and vehicles under varying lighting and weather conditions, leading to lane departure and collision risks. To address this, we propose CurvLaneNet-YOLO, a deep learning framework based on YOLOv8 that s...

Optimizing information retrieval tasks with large language model for data enhancement

Abstract The data science and artificial intelligence, optimizing information retrieval tasks has become crucial for extracting actionable insights from vast amounts of data. The problem is the need for precise query formulation to retrieve relevant data effectively, as LLMs can...

Autonomous Wireless Networks for Smart Factories: An Experimental Study of Latency, Reliability, and Self-Healing Performance in Industrial Environments

In this paper, a detailed experimental study of autonomous wireless network technologies deployed in a live smart factory setup at an automotive component manufacturing facility in Nagpur, India, is presented. A coexisting multi-technology wireless infrastructure, including a 5G...

Autonomous Wireless Networks for Smart Factories: An Experimental Study of Latency, Reliability, and Self-Healing Performance in Industrial Environments

In this paper, a detailed experimental study of autonomous wireless network technologies deployed in a live smart factory setup at an automotive component manufacturing facility in Nagpur, India, is presented. A coexisting multi-technology wireless infrastructure, including a 5G...