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The transformative potential of artificial intelligence in building sustainable agricultural systems: Innovations, challenges, and future directions
Artificial Intelligence is revolutionizing agricultural practices by enhancing efficiency, productivity, and sustainability. Through precision agriculture, AI enables data-driven decision-making, optimizing resource use, crop management, and yield prediction. Innovations such as machine learning algorithms and IoT integration facilitate real-time monitoring of soil, weather patterns, and pest control. These technologies address critical challenges like food security and environmental conservation. However, the adoption of AI in agriculture faces obstacles, including high implementation costs, data privacy, and limited access to technology. Future directions involve advancing AI capabilities to support climate-resilient farming, promoting digital inclusion, and developing policy frameworks to address socioeconomic concerns. By leveraging AI, agriculture can transition toward sustainable practices, ensuring food security while minimizing environmental impact. In light of the above perspective, this chapter highlights AI's potential to transform agriculture amidst ongoing challenges. 2025, IGI Global Scientific Publishing. All rights reserved. -
The Transparency Paradox: Rebuilding Trust in AI Shopping Agents Through Explainability
AI shopping agent systems that search, compare, negotiate, and purchase on a consumers behalf promise to reduce friction in digital commerce, but they also intensify long-standing concerns about price discrimination, manipulative choice architecture, and opaque data use. This chapter argues that the resulting transparency paradox is not merely a communication problem: the same AI capabilities that enable personalization can also conceal and optimize exploitation. Building on research in trust, explainable artificial intelligence, humanAI interaction, and consumer protection, the chapter develops a socio-technical approach to rebuilding trust in agentic commerce. It synthesizes regulatory and standards developments and proposes design and governance mechanisms layered explanations, contestable outcomes, auditability, and choice-integrity controls intended to make AI shopping agents intelligible and accountable across jurisdictions and market contexts. Copyright 2026, IGI Global Scientific Publishing. -
The trauma of gun violence: Effects on students and communities
This chapter provides an in-depth analysis of the diverse consequences of gun violence within educational institutions, with a particular emphasis on the psychological distress endured by both students and communities. This study examines the emotional, psychological, and social ramifications, emphasizing coping mechanisms, strategies for developing resilience, and community healing initiatives. The critical nature of gun violence as a public health crisis is highlighted by the imperative for policymakers, educators, and community leaders to prioritize trauma-informed approaches. Through the promotion of policy reforms and the adoption of traumasensitive methodologies, it is possible to foster the development of secure and resilient communities that promote the recovery and flourishing of individuals. 2024, IGI Global. All rights reserved. -
The Troubling Emergence of Hallucination in Large Language Models - An Extensive Definition, Quantification, and Prescriptive Remediations
The recent advancements in Large Language Models (LLMs) have garnered widespread acclaim for their remarkable emerging capabilities. However, the issue of hallucination has parallelly emerged as a by-product, posing significant concerns. While some recent endeavors have been made to identify and mitigate different types of hallucination, there has been a limited emphasis on the nuanced categorization of hallucination and associated mitigation methods. To address this gap, we offer a fine-grained discourse on profiling hallucination based on its degree, orientation, and category, along with offering strategies for alleviation. As such, we define two overarching orientations of hallucination: (i) factual mirage (FM) and (ii) silver lining (SL). To provide a more comprehensive understanding, both orientations are further sub-categorized into intrinsic and extrinsic, with three degrees of severity - (i) mild, (ii) moderate, and (iii) alarming. We also meticulously categorize hallucination into six types: (i) acronym ambiguity, (ii) numeric nuisance, (iii) generated golem, (iv) virtual voice, (v) geographic erratum, and (vi) time wrap. Furthermore, we curate HallucInation eLiciTation (), a publicly available dataset comprising of 75,000 samples generated using 15 contemporary LLMs along with human annotations for the aforementioned categories. Finally, to establish a method for quantifying and to offer a comparative spectrum that allows us to evaluate and rank LLMs based on their vulnerability to producing hallucinations, we propose Hallucination Vulnerability Index (HVI). Amidst the extensive deliberations on policy-making for regulating AI development, it is of utmost importance to assess and measure which LLM is more vulnerable towards hallucination. We firmly believe that HVI holds significant value as a tool for the wider NLP community, with the potential to serve as a rubric in AI-related policy-making. In conclusion, we propose two solution strategies for mitigating hallucinations. 2023 Association for Computational Linguistics. -
The Truncated Modified Lindley Generated Family of Distributions
In this paper, two contributions to the modified Lindley distribution are provided. First, we bend the truncation scheme to this model to introduce a new distribution on the interval (0, 1). Theory and practice are provided. In particular, we show that it can be an interesting alternative to the analogous truncated exponential and Lindley distributions. Then, we employ this truncated distribution to develop a new generalized family of distributions. We examine its main theoretical properties, and show how it can be applied quite efficiently to analyse various data sets. 2023 Mir Masoom Ali, Irfan Ali, Haitham M. Yousof and Mohamed Ibrahim. -
The Un-Human Beings: The Denial of Muslim Migrants Bodies in India and Poland
This essay traces the political and legal discourses around migrants and refugees in two distinct conditions: the postcolonial and the postsocialist of India and Poland, respectively. The two countries have recently turned to nationalist right-wing politics with an increasingly hostile focus on foreign Others, particularly Muslims. In the context of increased global surveillance and criminalization of Muslims, we show how the bodies of Muslim migrants are dehumanized and constructed as threats, denying their humanity in the process. We do this through the two cases of Ayub and Ameer, two Muslim men navigating their illegality in two different contexts in India and Poland. This essay is a contribution to the literature on postcolonial and postsocialist theories and critical debates about the possibilities of dialogue between postsocialist and postcolonial geographies. The examples we use demonstrate that the postcolonial and postsocialist nation-states respond to global phenomena such as migration and Islamophobia in ways that have discernible traces of their histories and are constituted distinctively from the western metropoles. 2022 Informa UK Limited, trading as Taylor & Francis Group. -
The unique risk factor profile of triple-negative breast cancer: a comprehensive meta-analysis
Background: Triple-negative breast cancer (TNBC) has a poor prognosis compared with other breast cancer subtypes. This systematic review and meta-analysis examines whether known risk factors for breast cancer are also associated with TNBC in adult women. Methods: EMBASE, Medline, SCOPUS, and gray literature were queried with no limit on the date or language of publication. The exposures of interest included parity, breastfeeding, duration of breastfeeding, age at menarche, age at first live birth, oral contraceptive (OC) use, duration of OC use, use of menopausal hormone therapy (MHT), family history, body mass index (BMI), alcohol use, smoking, and breast density. The main outcome of interest was TNBC. Study quality was determined using the Newcastle-Ottawa scale for case control studies and cohort studies. We estimated weighted odds ratios from random effects models to study the exposureoutcome associations. Protocol was registered under the number: PROSPERO 2021 CRD42021254594. Results: Thirty-three studies were included. Family history, longer duration of OC use, and higher breast density were significantly associated with increased risk for TNBC, whereas later age at menarche, later age at first birth, and breastfeeding were protective against TNBC. Parity, MHT, alcohol, smoking, and BMI were not significantly associated with TNBC overall, but higher parity was associated with higher risk among Black women. Conclusion: Our findings highlight that TNBC has a distinct risk factor profile compared with overall breast cancer. This can be the foundational work in identification of actionable TNBC risk factors to improve prevention and early detection of these poor prognosis breast tumors. The Author(s) 2024. -
The Universal Dimensions of Change: A Systematic Review of Couple Techniques
One can find a rich set of empirically evaluated techniques across different schools in couple therapy over its evolution of five decades. Though there are multiple systematic reviews and analyses of couple intervention studies, none focus on reviewing the universal dimensions of change across therapeutic techniques. Understanding the common areas of change would enable integrated learning across therapy modalities for novice therapists. Therefore, the aim is to identify the techniques employed in couple intervention research and categorize their change dimensions. We examined 40 articles on couple interventions published across 16 journals and identified 111 techniques. The five therapeutic change dimensions, namely behavior, cognition, emotion, attachment, and holistic, were categorized based on the common factor integration of techniques. The identified techniques were further classified under the five dimensions using the voting procedure to validate the universality of change dimensions. 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature. -
The unseen dilemma of AI in mental healthcare
[No abstract available] -
The unseen dilemma of AI in mental healthcare
[No abstract available] -
The upper domatic number of powers of graphs
Let A and B be two disjoint subsets of the vertex set V of a graph G. The set A is said to dominate B, denoted by A ? B, if for every vertex u ? B there exists a vertex v ? A such that uv ? E(G). For any graph G, a partition ? = fV1; V2; : : : ; Vpg of the vertex set V is an upper domatic partition if Vi ? Vj or Vj ? Vi or both for every Vi; Vj ? ?, whenever i ? j. The upper domatic number D(G) is the maximum order of an upper domatic partition. In this paper, we study the upper domatic number of powers of graphs and examine the special case when power is 2. We also show that the upper domatic number of kth power of a graph can be viewed as its k-upper domatic number. 2021 Azarbaijan Shahid Madani University. -
The usage of gold and the investment analysis based on gold rate in India
Gold is one of the main commodities where the customers invest their money comparatively with bank for better interest. In the Indian context people purchase gold for their children's marriages for later period. The investment in gold is better suits for easy conversion into money with quickest possible time from the bank and gold merchants. The appreciation or depreciation of gold based on other investment options like fixed deposit, provident fund, international crude oil price, stock market, mutual fund etc. The comparative analysis of gold with other investment options give an edge to the customer to clearly understand the investment pattern for their hard-earned money expected to give good returns in the future. Copyright 2019 Institute of Advanced Engineering and Science. All rights reserved. -
The use of augmented reality in assessing and training children with attention deficit hyperactivity disorder
Attention deficit hyperactivity disorder (ADHD) is a serious issue that must be addressed in the modern world. Treatment for ADHD is challenging because it is costly, has adverse effects, might not be successful, and is not considered an emergency. The reason that ADHD is hard to manage is because it causes people-especially children-to make impulsive decisions that hinder their ability to succeed in school, the workplace, and other areas of life. As an alternative approach, neurofeedback therapy or play therapy, which relies on real-time feedback of an individual's brainwave activity typically collected through electroencephalogram (EEG), has demonstrated promising outcomes in the treatment of mental disorders and enhancing cognitive capabilities. On the other hand, prolonged exposure to repetitive feedback might result in lower engagement since people may become disinterested in the process and find it difficult to continue participating. An extensive assessment on the use of augmented reality (AR) in the context of pediatric ADHD has been carried out, with an emphasis on the benefits of creating games specifically for kids with ADHD. By using AR technology in a group of children, the goal of this study was to investigate the basic characteristics of AR systems that aid in the identification and treatment of ADHD in children. 2024, Institute of Advanced Engineering and Science. All rights reserved. -
The use of self-protective measures to prevent COVID-19 spread: an application of the health belief model
This study uses a health belief model to examine the preventive behavioral orientation or self-protective measures adopted by people in the face of the current COVID-19 pandemic. A total of 603 participants were selected from the city of Bangalore, India. The data was collected through an online survey with participants age varying between 17 and 54 and mean as 23 years (SD = 4.32). The findings revealed that perceived barrier has significant negative impact, while perceived threat, perceived consequences, perceived benefits, community and individual self-efficacy, and general health cues have a positive influence on an individuals intention to follow self-protective measures against COVID-19. Based on the constructs of the health belief model, this study proposes multiple health-related interventions to reduce the spread of COVID-19. 2022 Informa UK Limited, trading as Taylor & Francis Group. -
The Utilization of Artificial Intelligence in the Health Care Sector: A Review
Artificial Intelligence (AI) is becoming an integral part of almost all the sectors of the economy and healthcare is not an exception. Artificial intelligence (AI) applications have transformed the healthcare industry. The aim of this chapter is to review the application of AI in healthcare sector and also explores the challenges in the adoption of artificial intelligence on the same. The authors conducted a thorough review of literature available and also used other secondary sources of data. It was found that, clinical choices, patient information and testing, predictive medical practice and health management of services are the key areas of interest in this AI era. Privacy and data protection was amongst the important challenges of AI in healthcare sector. It is suggested that, there is a need of certificate programs and courses on artificial intelligence, regulations pertaining to AI in healthcare should be implemented so that the challenges of privacy and confidentiality would be resolved. 2024 by IGI Global. All rights reserved. -
The Vanishing Point of Ecology Featuring Carbon Criminals: A Study of Ecocide in the South Asian Countries with a Special Focus on the Indian Landscape
The abounding ecosystem is increasingly being transformed by global warming, which has also resulted in sea level rise, melted glaciers, heat waves, altered precipitation patterns, and other climate impacts. India now ranks fifth in terms of climate change vulnerability. Weakening our natural defenses against climate-related calamities, it has already lost approximately one-third of its coastline, a third of its grasslands, and is losing wetlands at a pace of 23% annually. In recent times several scholarly works have framed this transgression under the rubrics of ecocide. Legal acceptance of ecocide is growing, albeit slowly, in India. Carbon criminals and climate crimes mirror exploration and hypothesis from a wide variety of disciplines; to break down four explicit concerns it plans to state-corporate environment-related crimes: such as extraction of non-renewable energy sources and rising fossil fuel by-products; political failure owing to mitigation of carbon emissions. Green criminology lays its focus to identify various environmental crimes and adjudges the liability of the States dissuading actions leading to the repercussions. Climate change reflects profound class and social inequalities leading to ecocidal tendencies. The chapter aims to discuss the dynamics involving carbon crimes and ecocide by identifying the perpetrators, issuing of responsibility, and responses to the causes of climate injustice across the South Asian countries and Indias pressing concerns on it. Further, endeavors are made to review legislations and offer operational solutions to achieving climate justice. The chapter undertakes South Asian countries as a territorial scope to assess the ecological damage. 2026 selection and editorial matter, Shanthakumar Sanjeevi and Dhanya S, individual chapters, the contributors. -
The Various Challenges Involved in Sensor Based Cloud System to Protect the Data and to Avoid Attacks: A Technical Review
In these studies, we introduce a unique protection framework for the integration of Wireless Sensor Networks (WSN) with cloud computing, aimed closer to enhancing statistics-centric programs consisting of far-flung healthcare structures. The framework's cornerstone is a robust, bendy safety version that ensures immoderate-degree information confidentiality, integrity, and terrific-grained get proper of access to control, addressing the important protection demanding situations in WSN-Cloud integration. By the use of a hybrid encryption mechanism that mixes the strengths of symmetric and uneven encryption techniques, our method gives a entire safety answer that protects information during transmission and garage. Furthermore, the version includes an efficient key manipulate gadget, facilitating the dynamic era and relaxed distribution of encryption keys. This contemporary framework is designed to mitigate common safety threats, such as Man-in-the-Middle (MITM) and Denial of Service (DoS) attacks, even as preserving the overall performance and standard performance of the blanketed gadget. Our research offers a massive contribution to securing statistics-centric packages in WSN-Cloud ecosystems, making sure dependable and comfortable facts verbal exchange and get right of entry to for a way off healthcare programs and past. 2024 IEEE. -
The vertex distance complement spectrum of subdivision vertex join and subdivision edge join of two regular graphs
The vertex distance complement (VDC) matrix C, of a connected graph G with vertex set consisting of n vertices, is a real symmetric matrix [cij ] that takes the value n ? dij where dij is the distance between the vertices vi and vj of G for i ? j and 0 otherwise. The vertex distance complement spectrum of the subdivision vertex join, G1 ??G 2 and the subdivision edge join G1 ?G2 of regular graphs G1 and G2 in terms of the adjacency spectrum are determined in this paper. 2021, Krasovskii Institute of Mathematics and Mechanics. All rights reserved. -
THE VICIOUS LOOP OF BODY SHAMING AND SELF-PROJECTION: AN EXPLORATIVE STUDY OF INDIAN YOUNG PEOPLE AGED 20-30 YEARS OLD
Background: Body shaming leads to much insecurity that is often overlooked. Its impact results in many ways, either in the form of some mental disorder, non-acceptance of oneself, low self-esteem, decreased life satisfaction, etc. The Media adds to it by portraying perceived perfectionism in terms of appearance which at times acts as a trigger to people already suffering or going through these. Purpose: The purpose of the study was to explore the psychological effects of body shaming on young people, and to analyze the role and impact of media in the portrayal of body image issues. Design/Methodology/Approach: A Semi-structured interview of 20 participants was carried forward (10 males & 10 females belonging). All Participants belonged to the age bracket of 20-30 years. Interpretative Phenomenological Analysis was conducted thereafter. Findings: All the participants mentioned that body shaming has affected their well-being and self-esteem and it led them to body shame others as well. It was also found that media has been marketing body image issues in many ways which created both positive and negative impacts. The following themes were generated based on analysis: age-appropriate body, rituals to fit in, marketing by accepting, after effects, the vicious loop, confusion to/and acceptance. Conclusion: The psychological impact of body shaming is often overlooked and that creates more damage. Similarly, the marketing of body image issues is so popular that often it is used in the form of humour. All of these experiences create a deep impact on people and lead them to the vicious loop of body shaming. 2022, RJ4All Publications. All rights reserved.