Tracing the Self: Foucault\u27s Genealogy and the Evolution of Subjectivity From Ancient Practices to Digital Frontiers

This paper critically examines the interplay between the ethical constitution of subjectivity and the notion of truth in Michel Foucault\u27s political oeuvre, with a specific focus on the technologies of the self. Employing a comprehensive genealogical approach, the study delves into various technologies of the self, unraveling the complex models of knowledge and power they embody. This investigation illuminates key socio-historical shifts, revealing nuanced dynamics in the relationships between subject, self, truth, and power that extend beyond the traditional focus on the disciplined subject of modernity. A unique contribution of this work lies in its exploration of the methodological significance of technologies of the self within contemporary political philosophy, considering not only historical perspectives but also the implications of digital hyperconnectivity and gamified self-technologies. By examining strategies of resistance and freedom, the paper underscores the potential of these technologies as tools for both empowerment and surveillance, presenting a multifaceted view of self-constitution in the digital era. In its analysis, the paper integrates insights from recent scholarship, including the ethical dimensions of technological mediation and the concept of ‘quantified otherness,’ thereby enriching the understanding of how the technologies of the self-shape and are shaped by socio-technological systems. The paper aims to contribute to ongoing discussions about power, resistance, and the ethical constitution of subjectivity in contemporary political philosophy, highlighting the relevance of Foucault\u27s work in the context of emerging technologies and evolving social norms

Assessing the Chemistry ‘Cookbook’ Culture – Caribbean Tertiary Students’ Perceptions of Plagiarism in General Chemistry I Laboratory Reports

Academic integrity is one of the significant issues facing assessments in higher education. While there are a plethora of papers addressing this problem in certain locales, very little research has been published regarding tertiary institutions in the Caribbean. This paper satisfies this paucity in the literature and present findings which will help benchmark it against other comparable populations. This mixed-methods case study examines first-year students’ perceptions of plagiarism definitions, its seriousness, reasons for plagiarising, and its prevalence in a General Chemistry lab course at a Jamaican university. Quantitative and qualitative data were collected and triangulated using a questionnaire and document analysis to understand the complexity of participants’ views. The results show that students largely define plagiarism as copying portions of text and not citing someone else’s work. While accepting that copying large and small portions of text are serious offences, students are less inclined to perceive copying a picture and self-plagiarism as problematic. Although students believe plagiarism is prevalent, they oppose harsh consequences, citing lack of understanding, course difficulty, time management issues, lack of motivation, and fear of failure as understandable reasons. Institutional recommendations to mitigate this growing concern include implementing strategies that would broaden students’ knowledge of what constitutes plagiarism, employing pedagogic strategies that aim to increase students’ self-efficacy, creating a more supportive academic environment, and reducing participation in plagiaristic behaviour

Insights into Personalized Care Strategies for Wilms Tumor: A Narrative Literature Review

Wilms tumor (WT), or nephroblastoma, is the predominant renal malignancy in the pediatric population. This narrative review explores the evolution of personalized care strategies for WT, synthesizing critical developments in molecular diagnostics and treatment approaches to enhance patient-specific outcomes. We surveyed recent literature from the last five years, focusing on high-impact research across major databases such as PubMed, Scopus, and Web of Science. Diagnostic advancements, including liquid biopsies and diffusion-weighted MRI, have improved early detection precision. The prognostic significance of genetic markers, particularly WT1 mutations and miRNA profiles, is discussed. Novel predictive tools integrating genetic and clinical data to anticipate disease trajectory and therapy response are explored. Progressive treatment strategies, particularly immunotherapy and targeted agents such as HIF-2α inhibitors and GD2-targeted immunotherapy, are highlighted for their role in personalized treatment protocols, especially for refractory or recurrent WT. This review underscores the necessity for personalized management supported by genetic insights, with improved survival rates for localized disease exceeding 90%. However, knowledge gaps persist in therapies for high-risk patients and strategies to reduce long-term treatment-related morbidity. In conclusion, this narrative review highlights the need for ongoing research, particularly on the long-term outcomes of emerging therapies and integrating multi-omic data to inform clinical decision-making, paving the way for more individualized treatment pathways

Dietary Knowledge and Eating Habits among Patients with Type 2 Diabetes in Lebanon

Little is known about the dietary knowledge (DK) and eating habits (EHs) of patients with type 2 diabetes (T2D) in Lebanon. Therefore, the aim of this study was to assess the DK and EH of the population with T2D and determine their associated factors. A cross-sectional survey enrolling 351 patients with T2D was carried out, using the snowball sampling technique. The survey used the UK Diabetes and Diet Questionnaire and the Dietary Knowledge questionnaire to assess participants\u27 EH including the frequency of consumption of certain foods and their knowledge of food groups and food choices. While a higher DK index indicated better knowledge, a higher EH index indicated less healthy EH. Independent sample T-test and Mann-Whitney test were used for dichotomous variables, and ANOVA and Kruskal-Wallis tests were used for polytomous variables. Correlation analysis tested the association between two continuous variables. Two multiple linear regression models were used to identify factors associated with DK and EH. Overall, 67% of participants had good or adequate DK, and around 25% and 75% of them had healthy and less healthy EH, respectively. Better knowledge was significantly related to occupation, BMI, presence of comorbidities, and HbA1c testing during the last 3 months. Higher family income, physical activity, family history of diabetes, receiving help in medication administration from family or friends, and higher DK level were factors associated with healthier EH. Nutrition education and awareness campaigns aimed at patients and their families are needed to empower patients with adequate DK and skills to facilitate the adoption of healthy EH

Wireless Insights into Cognitive Wellness: A Paradigm Shift in Alzheimer’s Detection through Ultrathin Wearable Antennas

The Proposed algorithm, designed to simulate an Alzheimer’s disease (AD) brain model across different stages, presents an invaluable opportunity for further research and in-depth study of the effects of AD. Currently, there is a notable absence of a comprehensive simulated model for the AD brain that allows the exploration of all AD biomarkers within a simulation tool. This represents a crucial advancement in the field, enabling researchers to thoroughly investigate and understand the diverse biomarkers associated with AD without resorting to highly expensive and ionizing radiation techniques. The algorithm’s capability to emulate various stages of AD in a simulated environment is an essential step toward assessing its applicability for AD patients, providing a cost-effective and safer alternative for research and study in comparison to existing methodologies and delves into the development and evolution of a patch antenna designed for the identification of distinct stages in Alzheimer’s disease (AD) detection. The antenna, equipped with ultra-wideband (UWB) capabilities, consists of a slotted circular disc antenna patch and a partial ground. The placement of rectangular slots in the ground structure aims to enhance radiation directivity, gain, and efficiency. The primary objective is to optimize the antenna’s efficacy by strategically integrating a slotted circular disc and arranging slots in the ground structure. The research aims to provide an effective solution for non-invasive tracking of Alzheimer’s disease progression. The antenna, with dimensions of 50×35×0.1 mm³, is fabricated using a flexible laminate substrate (Ultra-lam 3850). The prototype demonstrates a remarkable bandwidth of 8.55 GHz (2.02–10.57 GHz) and exhibits nearly directional radiation characteristics. The study employs 3D CST 2019 simulator software for analysis, followed by physical fabrication and measurement of the antenna. Evaluation involves both a single antenna and a four-antenna array element around a 3D realistic-shaped Hugo head model and a six-layer brain phantom simulating various AD stages. The reported peak gain reaches 2.36 dBi and 3.1 dBi at 2.4 GHz and 7.48 GHz, respectively, with consistently high radiation efficiency (92.5% and 90.5% at 2.4 GHz and 7.48 GHz). In practical application, the antenna demonstrates satisfactory field penetration into human head tissues while adhering to safety standards. Specific Absorption Rate (SAR) values of 0.734 W/kg and 0.00238 W/kg at 2.4 GHz and 7.48 GHz, respectively, ensure compliance with safety regulations. The research concludes that the proposed antenna, supported by statistical and measured data, presents a promising non-invasive method for effectively tracking the progression of Alzheimer’s disease

Applying cellular automata to dynamic simulation of a tsunamigenic submarine landslide in the South China Sea

This work presents the first known application of a new approach to tsunami modelling, by linking a discrete cellular automata (CA) dynamic model of a submarine landslide to an off-the-shelf tsunami modelling package. This has the advantage of simulating the temporal evolution of the submarine landslide rather than as a single rigid sliding mass. We first tested that the coupled model was able to satisfactorily reproduce observed tsunami wave heights resulting from the flank collapse of the Anak Krakatau volcano in the Sunda Strait (Indonesia) in December 2018, before applying it to a speculative area of interest on the North Borneo (Continental) Shelf (NBS). The NBS has one of the thickest near-shore clastic sediment wedges known globally (12 km thickness) and a very long pre-history of submarine landsliding. We modelled a small slide (5 km3 volume) because this is far more likely to occur than a recurrence of the gigantic Brunei slide (1200 km3 volume). Results indicate that a 5 km3 submarine landslide generates multiple tsunami waves, the largest of which reached 8 m at the coast of nearby Balabac Island (The Philippines). Small tsunami waves also arrived on the central Vietnam coast, more than 900 km distant. A larger potential failure on the NBS therefore appears capable of causing a tsunami with greater runup heights, which could pose a risk to much of central and southern Vietnam, northern Borneo (Sabah, Brunei) and Palawan. Finally, we note that the South China Sea is fringed by a necklace of other thick offshore clastic sediment accumulations, most notably on the southern China continental margin, offshore southern Taiwan, and offshore central Vietnam. Given the proof-of-concept of our coupled CA–tsunami modelling approach described here, we recommend this also be applied in these areas to assess the risk posed by a wide range of submarine landslides to coastal populations and infrastructural assets (including nuclear power plants)

Combining Multi-Agent Systems and Artificial Intelligence of Things: Technical challenges and gains

A Multi-Agent System (MAS) usually refers to a network of autonomous agents that interact with each other to achieve a common objective. This system is therefore composed of several software components or hardware components (agents) that are simpler to construct and manage. Additionally, these agents can dynamically and swiftly adapt to changes in their environment. The MAS proves advantageous in addressing intricate issues by employing the divide-and-conquer approach. It finds application in diverse fields where the emphasis is on distributed computing and control, enabling the development of resilient, adaptable, and scalable systems. MAS is not a substitute or rival for Artificial Intelligence (AI). Instead, AI techniques can be integrated within agents to enhance their computational and decision-making capabilities. The diversity or uniformity of goals, actions, domain knowledge, sensor inputs, and outputs among the agents in the MAS can determine whether each agent is heterogeneous or homogeneous. The Internet of Things (IoT) and AI are two technologies that have been applied for a long time to the development of smart systems. These systems cover various areas, such as smart cities, energy management, autonomous cars, etc. Smart behavior, autonomy, and real-time monitoring are the fundamental elements that characterize these application areas. The convergence of AI and IoT, known as AIoT, allows these electronic devices to make more intelligent, autonomous, and automatic decisions. This integration leverages the power of MAS to enable intelligent communication and collaboration among various entities, while IoT provides a vast network of interconnected sensors and devices that collect and transmit real-time data. On the other hand, AI algorithms process and analyze these data to derive valuable insights and make informed decisions. The authors devoted their efforts to the critical analysis of AIoT research, highlighting specific areas with insufficient solutions and pointing out gaps for future advances. Essentially, the contribution of the authors is in the formulation of innovative research directions, which outline a clear guide for researchers and professionals in the expansion of knowledge in AIoT integration. The results of the research are significant contributions to the continuous advance of the area, enriching the understanding of the challenges and boosting the development of solutions and strategies in this technological convergence. Eleven research questions are considered at the beginning of the review, including typical research topics and application domains. From the SLR results, the research directions are: (i) Development of a methodology showing how to integrate the different applications independently of the scenarios in which they are deployed. Additionally, elaboration of the tools used in the integration process. (ii) Deployment of an agent in a microprocessor. (iii) How to implement and connect MAS technology and IoT devices (processors, controllers, sensors, and actuators)

Security Awareness and Forensic Investigation of Junior Zenbo Robot

Recently, the Internet of Things (IoT) technology has played a crucial role in our daily lives. It ensures the automatic transfer and response between various smart devices. Likewise, it enhances connections within networks and provides access to different information and data, making our lives easier. The innovation of the humanoid robot, which utilizes IoT technology, positively impacts our daily activities in many ways. However, compromising these robots may raise privacy and security concerns. This work aims to increase security awareness for robot users by highlighting and conducting common possible cyberattacks on Junior Zenbo robots using open, unsecured ports and weak Wi-Fi security, leading attackers to gain unauthorized access. In addition, the study intends to provide a comprehensive forensic guide that has been illustrated, detailing major Zenbo robot artifacts that can support forensic examiners in their investigations

Non-Carathéodory analytic functions with respect to symmetric points

The authors introduce new classes of analytic function with respect (Formula presented.) -symmetric points subordinate to a domain that is not Carathéodory. To use the existing infrastructure or framework, usually, the study of analytic function have been limited to a differential characterization subordinate to functions which are Carathéodory. Here, we try to obtain various interesting properties of functions which are not Carathéodory. Integral representation, interesting conditions for starlikeness and inclusion relations for functions in these classes are obtained