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SUBMIP: Smart Human Body Health Prediction Application System Based on Medical Image Processing
Get PDFThis paper focuses on the improvement of a cloud-based application that predicts the health conditions of the patient daily. patients can check their health status and records are generated and saved in the cloud and can access them by using mobile and web applications. A new era in healthcare has begun with the introduction of technology, promising creative approaches to tracking and forecasting health conditions and status. This study introduces and investigates the “Smart Human Body Health Prediction Application System,” a vast digital platform that combines wearable sensors, and artificial intelligence, to provide real-time health insights and predictive analysis so that the patient can easily know their health and can consult the doctors. The Smart Human Body Health Prediction Application System, which combines wearable sensors, using ML algorithm to train the data sets, and predictive analytics, is explored in detail in this paper. We talk about how these elements work together to give users a proactive and unique approach to the health care field.
 
Role and challenges of ChatGPT, Gemini, and similar generative artificial intelligence in human resource management
Get PDFThe integration of generative artificial intelligence (AI) systems, such as ChatGPT, into Human Resource Management (HRM) has marked the beginning of a groundbreaking era in innovative workforce management and employee engagement. This research investigates the pivotal role played by ChatGPT and analogous generative AI technologies in HRM, underscoring their significance in the realms of recruitment, employee training, and organizational communication. Leveraging their natural language processing abilities, these AI systems streamline the recruitment process, ensuring unbiased candidate selection and enhancing the overall efficiency of HR departments. Moreover, in training and development initiatives, ChatGPT facilitates tailored learning experiences, adjusting content to meet individual employee needs, thereby fostering skill enhancement and professional growth. Nevertheless, the widespread adoption of ChatGPT in HRM is not without its challenges. Ethical concerns, such as data privacy and algorithmic bias, necessitate thorough examination to prevent discriminatory practices and guarantee equitable treatment of employees. Additionally, the requirement for continuous monitoring and refinement of AI algorithms to align with evolving organizational cultures and goals presents a significant hurdle. Moreover, striking a harmonious balance between AI-driven automation and human intervention is imperative to preserve the human touch in HRM processes, safeguarding the empathetic and intuitive elements that are essential for effective employee management. This research delves into these complex dynamics, shedding light on the transformative potential of ChatGPT and akin generative AI technologies in HRM, while also emphasizing the need for vigilance and strategic planning to address the associated challenges. Through an exhaustive analysis of real-world case studies and ethical frameworks, this study offers valuable insights for HR professionals, policymakers, and researchers endeavoring to navigate the intricate landscape of AI-powered HRM.
 
A Review Study of Commodity Derivative Market with reference to Macroeconomic Determinants and Weather Conditions: Commodity Derivative Market, Macroeconomic Determinants and Weather Condition
No full textThe present study aims to conduct a bibliometric analysis of the commodity derivative market from journals in the Scopus database from 2007 to 2024. The study uses bibliometrics, performance analysis, science mapping, content analysis, and text mining of 754 articles extracted from the Scopus database to discover the research gap and models for future research. The R-studio, VOS-viewer, and SDG mapper tools have been used to analyze the articles of the Scopus database. The result of the study states that the journal “Energy Economics” has the highest no. of Citation per publication (CPP) ratio, the Lippe D. has the prominent authors with the highest no. of documents in the commodity derivative market, and the United Nations has the highest no. of publications in the field of commodity derivative market. Based on TE plot and text mining techniques, the result also states Sustainable Risk Management Integration through the commodity derivative market that classifies the 17 SDGs into three categories: Fundamental Priorities (SDG 7, 13, and 2), Supportive Pillars (SDG 8, 12, 9, 15, 17, 4, 3) and Niche Concerns (SDG 6, 16, 11, 10, 1, 5, 14)
Role and challenges of ChatGPT, Google Bard, and similar generative Artificial Intelligence in Arts and Humanities
Get PDFIn the dynamic world of technology, ChatGPT has emerged as a transformative tool within the realm of Arts and Humanities, facilitating innovative interactions between humans and machines. This research delves into the multifaceted role of ChatGPT in the Arts and Humanities, illuminating its potential applications and the challenges it presents. ChatGPT serves as a creative collaborator, providing artists and humanists with a distinctive platform for ideation, brainstorming, and refining their artistic expressions. Through natural language conversations, it stimulates creative thinking processes, offering valuable insights and diverse perspectives. In the realm of Humanities, ChatGPT acts as a crucial research assistant, supporting scholars in tasks like data analysis, literature review, and information synthesis. Its ability to process vast textual data expedites research, allowing scholars to delve deeper into their inquiries. However, integrating ChatGPT into the Arts and Humanities domain is not without its challenges. Ethical considerations, such as data privacy and bias, require careful attention. Balancing the augmentation of human creativity with the preservation of genuine artistic expression is a complex task. Additionally, ensuring accessibility and inclusivity in ChatGPT-generated content remains a concern, underscoring the need for continuous refinement and awareness. This research explores the evolving landscape of Arts and Humanities, where ChatGPT acts as a catalyst for creativity, critical thinking, and scholarly endeavors. By addressing these challenges and harnessing its potential, ChatGPT stands poised to bridge the gap between technology and the intricate nuances of human creativity in unprecedented ways
A Case Study of Chinese Female Doctoral Students in a Malaysian University
Get PDFStudies have proven the negative influence of stress both on doctoral students’ academic performance and their well-being from different contents. The stress sources were also well investigated in the past literature. However, the situation of female Chinese doctoral students, especially those who have married with children and left their families behind to study in Malaysia just after the reopening of post-pandemic was still rare. To bridge the gap and understand the challenges faced by them, this case study investigated the current situations faced by female doctoral students from China studying in a public Malaysian university with a purposeful sampling method. Five purposefully chosen participants were interviewed and the transcripts were analysed thematically. The findings indicate that their lives in Malaysia are satisfactory. In general, their lives as doctoral students in Malaysia are relatively less stressful, which contradicts the findings from some past literature. The specific characteristics of these five participants of this case study such as the identity transformation to be a full-time female doctoral student and the similarity between local culture and Chinese culture can be utilized to explain the different findings
The Receptive Vocabulary Size of Vocational Trainees at the Specialized Institute of Applied Technology in Morocco
Get PDFThis study aimed to quantitatively estimate the receptive vocabulary size of Moroccan vocational trainees at the specialized institute of applied technology and examine its relationship to their training level and the amount of L2 instruction. Meara’s (2010) Yes/No test was employed to measure the receptive vocabulary size of 405 trainees from two vocational levels. The results revealed that trainees had a mean size of about 1916 words, suggesting that their vocabulary size is insufficient apropos of the lexical knowledge threshold required to understand authentic English texts. They also revealed that the training level was not related to trainees’ vocabulary knowledge, but the number of years of L2 instruction positively correlated with their lexical knowledge. Recommendations were suggested to instructors, course designers, and policymakers at the vocational institutes in Morocco
Mathematical Models on Forest Logging and Carbon sequestration
Get PDFAbstract. In this article, we analyze the relationship between carbon sequestration and the time of the forest and its products, and discuss which forest management plan is most effective in sequestering carbon dioxide. We show that moderate logging in forest management plans is a good decision. As long as the ratio between the two is balanced, appropriate logging can renew and rejuvenate forests, creating ecological and specific economic and social values
Study on the Relationship Between Two Curvature Tensors in Finsler spaces
Get PDFThe generalized recurrent space and generalized birecurrent space introduced by \cite{4, 15}. Now, in this paper, two theorems clarify the relationship between and have been established and proved in the above mentioned spaces. The necessary and sufficient condition for which satisfy the generalized recurrence and birecurrence property have been obtained
Review of Biological methods of AgNPs Synthesis
Get PDFRecently, noble metal nanoparticle synthesis has become more advanced thanks to the growth of nanotechnology. The abundance and diversity of the biomolecules that function as capping and reducing agents in biological synthesis methods make them more advantageous than other traditional synthesis techniques in terms of cost and safety. Due to their safety and environmental friendliness, biosynthesized silver nanoparticles (AgNPs) show potential uses in a variety of disciplines. The results of reported studies on the green synthesis of Ag NPs employing various stem, fruit, and seed components have been compiled together with their effects on the morphological characteristics. This review is crucial for figuring out how to synthesize Ag NPs in a method that is regulated, less expensive, and ecologically benign
Inducing Conjugated Linoleic Acid Concentration in Tallaga-Like Cheese by Using Probiotics, Inulin and Lipolysed Milk Containing Safflower Oil as Precursor on Its Quality Characteristics
Get PDFProbiotic functional dairy products are known of their positive impact on overall health. Conjugated linoleic acid (CLA) has a healthy magical effect on human health. So, a new Tallaga-like cheese was prepared by using some probiotic strains and lipolyzed milk with Safflower oil as a source of free linolenic acid as well as with or without inulin as prebiotic and followed its impact on cheese quality characteristics of Tallaga-like cheese stored at 5°C for 28 day. Mixture of equal parts of fresh buffaloe`s and cow`s milk were standardized to 3.60 % fat, pasteurized, cooled to 37°C, salted, mixed well with 0.6% (v/v) lipolyzed milk with Safflower oil, inoculated with probiotic bacteria (Lb. plantarum, Lb. acidophilus, Lb. casei and B. bifidum) and fortified with/without 1.5% inulin to induce CLA formation Results showed that using inulin with 0.6% safflower oil and probiotic bacteria increased significantly the CLA concentration as compared to using probiotics with lipolysed milk only. Addition of different probiotics with inulin increased significantly the titratable acidity, total lactic acid bacteria with higher rheological characteristics and gained higher total acceptability scores. It can be recommended that functional Tallaga-like cheese with more than double CLA, presented in control cheese, can be made with using Lb. plantarum or Lb. acidophilus and 1.5% inulin in the presence of lipolysed milk with safflower oil as a source of free linolenic acid