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Comparative Parenting Styles’ Effects on Early Childhood Development in Different Areas

This research paper investigates the effects of different parenting styles on developing early childhood understanding in the cognitive, emotional, and social domains. As regards the parenting styles themselves, they include authoritative, authoritarian, permissive, and neglectful. These will greatly determine a child's academic ability to form relationships with others or how the child feels. Based on Diana Baumrind's development model, this study aims to determine the benefits and disadvantages of each parenting style by longitudinal data and psychological theory. Authoritative parenting, which characterizes parental discipline alongside their affectionate nature toward children, will produce excellent developmental outcomes. The authoritarian, permissive, and neglectful ones will also bring about some limitations in the end, such as diminished self-esteem, impulsivity, or social deficiencies. In this regard, the understanding thus provided would translate into practice contexts applicable to parents, educators, and policymakers toward better practices in raising children or supporting family resilience across diverse economic contexts.

Published by: Shreya Bhambhu

Author: Shreya Bhambhu

Paper ID: V11I1-1434

Paper Status: published

Published: March 8, 2025

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Research Paper

Macroeconomic Policies- Are They Really Making a Difference in India?

The behaviour of extremely large economic aggregates, their linkages, and the factors that influence them such as national investment and savings, imports and exports, the balance of foreign payments, and gross national and domestic product are all studied in macroeconomics, and macroeconomic policies address these variables. Over time, India's macroeconomic policies have changed dramatically, affecting growth, inflation, employment, and foreign trade, among other areas of the economy. These policies, which include macro prudential, monetary, and fiscal actions, are all very important in determining the economy's direction. India had a GDP of USD 1.9 trillion at current market values ten years ago, ranking it as the tenth largest economy in the world. Despite the pandemic and inheriting an economy with macro imbalances and a dysfunctional banking system, it is currently the fifth biggest, with a GDP of USD 3.7 trillion (estimated FY24). Numerous macroeconomic policies have been implemented over this ten-year voyage, greatly aiding the nation's economic advancement.

Published by: Smera

Author: Smera

Paper ID: V11I1-1423

Paper Status: published

Published: March 5, 2025

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Research Paper

An Analysis of Common Types of Injuries Reported at Out Patient Department of Type a Base Hospital in the Eastern Province of Sri Lanka: A Retrospective Study Using Data from Form Information of Injury (H 1258)

This study aimed to analyze the injury patterns among patients treated in the outpatient department (OPD) to identify key trends in gender, age distribution, mechanisms of injury, and affected body regions. A total of 880 injury cases were reviewed, with male patients constituting 61% and female patients 39%, resulting in a male-to-female ratio of 1.56:1. The majority of injuries (99%) were unintentional, and alcohol use was noted in 2.61% of cases. The age distribution revealed that 91.1% of patients were children, adolescents, or adults, with 59.6% falling within the adult (18-65 years) age group. The most common mechanisms of injury were falls (34%) and being struck by an object (32%), while lower limbs (48%) and palms/fingers (21%) were the most frequently affected body regions. The study also noted that 59% of patients sought treatment by noon, with the remaining patients treated later in the day. These findings suggest that falls, blunt trauma, and upper extremity injuries are most prevalent, with a significant portion of cases occurring in the productive age group. The study highlights the need for targeted injury prevention programs, better data collection on injury specifics, and timely interventions to reduce injury incidence and improve patient outcomes. Keywords: Injury, outpatient department, age distribution, mechanisms of injury, alcohol use, body region affected, fall prevention, injury prevention.

Published by: Thahira Safiudeen, Baminy Navaratnam

Author: Thahira Safiudeen

Paper ID: V11I1-1422

Paper Status: published

Published: March 5, 2025

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Research Paper

Artificial Intelligence and Cyber Law: Navigating Legal Complexities

The rapid advancement of Artificial Intelligence (AI) has revolutionized industries worldwide, offering unprecedented opportunities and challenges. However, as AI systems become more autonomous and integrated into various domains, they raise significant legal and ethical concerns, particularly in cyber law. This article explores the intersection of AI and cyber law, addressing key legal complexities such as data protection, liability, intellectual property rights, cybersecurity, and regulatory frameworks. It provides an in-depth analysis of emerging global legal trends and discusses potential solutions for balancing innovation with legal accountability. The paper further delves into the challenges of AI-driven cybercrimes, ethical AI deployment, and the role of policymakers in shaping comprehensive AI regulations. This article aims to provide valuable insights into navigating the intricate relationship between AI and cyber law by examining case studies and international legal frameworks.

Published by: Mahima Shukla

Author: Mahima Shukla

Paper ID: V11I1-1414

Paper Status: published

Published: February 28, 2025

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Research Paper

Threat Scoring Model Basis Hybrid Attack Emulation

In today's world, as the globe moves towards the Metaverse, all commercial and business transactions are digitalised, and digital transformation is the new need of the hour owing to COVID and other environmental and health problems. On the one hand, digitalisation is transforming the world; on the other, with an expanding attack surface and a variety of attacker modus operandi, it is critical and long overdue to develop a threat classification model that can provide clear insight into adversaries through their appropriate classification and threat scoring. The research aims to emulate “Threat Scoring based on the Hybrid Attack Model”, which consists of Red Teaming, Attack vectors and Threat Hunting models. The model will be simulated to understand the threat landscape for potential trigger points in the network and operation by initiating a wide range of attacks at various levels with respect to security posture. Hypothesis of results based on attack vectors will be mapped with Threat Intel received from various open Threat Scoring models based on analysis of adversities. The threat modelling process will be based on the MITRE & ATTACK Framework, with discovered threats further classified according to MITRE Tactics, Techniques and Procedures.

Published by: Mukul Kulshrestha, Satish Salunkhe, Dr Vaishali Khairnar

Author: Mukul Kulshrestha

Paper ID: V11I1-1390

Paper Status: published

Published: February 27, 2025

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Research Paper

A Review of Artificial Intelligence in Diabetic Retinopathy Detection

Diabetic retinopathy (DR) alongside diabetes is rising among the population twenty-first century and is one of the leading sight threatening cause worldwide. With early treatment in the initial stage possible, detecting the problem before it worsens is important. Different methods of eye evaluation for the changes in retina are mainly hospital based and not accessible to rural remote areas. AI methods can aid the process and provide warnings beforehand in places with inaccessible or poor health facilities. In this review, we discuss four applications - IDx- DR, Eye Art, RetinaLyze, and Bosch DR Algorithm - that are in use in real-world or under study for screening retinopathy.

Published by: Aryan Raj Pradhan

Author: Aryan Raj Pradhan

Paper ID: V11I1-1382

Paper Status: published

Published: February 27, 2025

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