bluuebunny/crossref_metadata_2025 huggingface dataset:
ENTREPRENEURSHIP: SHAPING THE FUTURE
Authors: Yadav Pappu Kumar , Kumar Nikhil , Paswan Dr. Anil , Panda Dr. Chandan Kumar
Published: June 2024

Entrepreneurship is a dynamic force that continuously reshapes the economic and social landscape. This abstract explores the multifaceted role of entrepreneurship in shaping the future. Entrepreneurs, with their innovative spirit and willingness to take risks, drive economic growth, foster innovation, and create jobs. They identify opportunities in ever-evolving markets, disrupt traditional industries, and push the boundaries of what's possible. The entrepreneurial mindset, characterized by adaptability, resilience, and a customer-centric approach, is instrumental in addressing global challenges. Moreover, entrepreneurship extends beyond profit-making; it encompasses social and environmental entrepreneurship. Social entrepreneurs tackle pressing societal issues, while environmental entrepreneurs promote sustainable practices. In an increasingly interconnected world, globalization and technology provide entrepreneurs with unprecedented opportunities to scale their ventures and collaborate across borders. Government policies, educational initiatives, and support ecosystems further catalyze entrepreneurial endeavors. In essence, entrepreneurship is not just a driver of economic prosperity but a transformative force with the potential to shape a more innovative, sustainable, and inclusive future for societies worldwide. This paper presents an overview of an entrepreneurship and also tells about its characteristics, scope, types, need for Entrepreneurship; innovation, knowledge and Entrepreneurship in Agriculture.
REVOLUTIONIZING HRM: EXPLORING THE IMPACT OF AI ON HUMAN RESOURCE MANAGEMENT
Authors: Selvi Dr. K. Bhavani
Published: June 2024

This chapter delves into the compelling intersection of Artificial Intelligence (AI) and Human Resource Management (HRM) with a focus on the transformation of workforce development strategies. In light of the rapidly evolving technological landscape, organizations are increasingly turning to AI-driven solutions to optimize their HRM practices. The primary motivation behind this study is to elucidate the profound impact of AI on workforce development within the HRM domain. As AI technologies continue to mature and gain prominence, understanding their role in learning and training becomes paramount for HR professionals, educators, and organizational leaders alike. The study seeks to uncover the ways in which AI is revolutionizing traditional approaches to talent development and learning, thereby enabling organizations to stay competitive in an era of rapid change. The chapter reveal a multifaceted transformation in HRM, where AI-driven tools and applications are enhancing the effectiveness and efficiency of workforce development initiatives. By leveraging machine learning, natural language processing, and other AI techniques, HR professionals can better identify individual learning needs, personalize training content, and provide timely feedback to employees. Moreover, AI is shown to facilitate continuous learning and adaptability, aligning workforce skills with the evolving demands of the digital age. The implications of this study are far-reaching. As organizations embrace AI for workforce development, they can expect to witness improved employee performance, higher engagement levels, and increased retention rates. Moreover, the integration of AI-driven learning solutions can help organizations reduce training costs and time while simultaneously enhancing the quality of training programs. However, the study also underscores the importance of ethical considerations, data privacy, and the need for responsible AI implementation in HRM. This chapter underscores the imperative of adapting workforce development strategies in response to the AI revolution in HRM. The results illuminate the potential benefits and challenges associated with AI integration, providing valuable insights for HR practitioners and decision-makers aiming to navigate the evolving landscape of talent development in the digital era.
A CONCEPTUAL DISCUSSION ON HUMAN RESOURCES AND THEIR MANAGEMENT
Authors: Mondal Shibprasad
Published: June 2024

Humans are the greatest resources in the nation. Resource creation and destruction are all depends on human. So, human resource management now key point to us. Since the middle of the 20th century many companies have been developed that started an out source of some traditional administrative and transactional HRM tasks. This will intern helps the HR department to strong the business. In modern times, due to the invention of new types of machinery and techniques, the importance of labor workers is no less. The main reason for this is that the worker is the only component of production that coordinates the other components to get the job done properly. Other materials, however good, have no functional value other than workers. At present, with the increase in the size and complexity of business organizations, various complications have arisen in the effective use of manpower. Human resource management strives to increase production and improve service quality by making maximum use of human resources through the proper application of its specialized knowledge, work skills and departmental norms. Proper management and guidance and motivation of the workers results maximum production and services will occur from them.
A STUDY ON THE USES AND IMPACT OF AI IN DIFFERENT SECTORS FOR ATTAINMENT OF SDG GOALS
Authors: Pathak Anagh
Published: June 2024

This study examines how artificial intelligence (AI) affects the pursuit of sustainable development objectives. (SDGs). The study gives a general overview of the state of AI technology today and some possible uses for it in tackling various sustainability issues, such as poverty, inequality, and climate change. For instance, AI-powered algorithms can optimise healthcare delivery, forecast and prevent natural catastrophes, and reduce carbon footprint in the supply chain. Adoption of AI, though, also brings up moral and social issues like employment displacement, privacy, and bias. AI can help with waste control, public safety, and other aspects of sustainable urban growth. It can support environmental conservation initiatives, find pollution sources, and monitor the quality of the air and water. Our research also demonstrates how AI-powered algorithms can reduce energy consumption in buildings, industries, and other, resulting in less energy waste and emissions, as well as transportation networks. The study investigates how AI can be used to promote sustainable development in a variety of industries, including energy, agriculture, and healthcare, through a systematic review of the literature. The results indicate that by increasing efficiency, lowering costs, and improving decision-making processes, AI can help achieve the SDGs. To guarantee fair and long-lasting results, the study also emphasises the ethical and social ramifications of AI adoption and stresses the need for responsible and inclusive AI governance.
CONTROLLING AS MANAGEMENT FUNCTION: MARITIME MANAGEMENT AND SUPPLY CHAIN MANAGEMENT AS A CASE STUDY
Authors: P. A Dr. Jayan
Published: June 2024

At a time a when the management trends which undergo changes in the backdrop of the liberalization, privatization and globalization (LPG) and subsequent technological impact on management studies and practice gets attention. In this respect, the key management function ‘controlling’ cannot be overlooked or sidelined. In addition, when it comes to the maritime management and supply chain management, the controlling function is extremely relevant. As a result, the conventional notion of controlling undergoes changes not drastically in the whole process of management whether it is budgets, Critical Path Method (CPM), Programme Evaluation and Review Technique (PERT), Gantt Chart and the Management by Objectives (MBO), Six Sigma, Total Quality Management (TQM)-to name a few. The analysis of global trends, the marketing management, the last mile connectivity, supply chains resilience, adaptability impinges on the controlling function. Basically, the controlling is a performance appraisal or a corrective mechanism from the deviation of standards. Most of the areas of maritime management including cargo handling, port efficiency and cargo evacuation are of paramount importance in modern times. Identifying the existing gaps and finding solutions are mattered. In this process, there is an attempt being made to understand the entire supply chain process pertaining to the controlling process cannot be ignored. Since the maritime transportation in terms of 90 percent by volume and 70 percent in terms of value carried by the seaborne, the controlling aspects from the managerial point of view has its own relevance in future.
HOW SALUBRIOUS IS INCLUSION OF TOURISM PRACTICES IN YOGA THERAPY? – A THEORETICAL APPROACH
Authors: Rai Alka , G K Sreenivasan Dr.
Published: June 2024

Amidst the global tide of chronic and acute diseases, an ancient yoga practices has become an essential part of life and considered one of the most legitimate practices or therapy in both conventional and complementary/alternative medical and wellness treatment. The salubrious effects of yoga practices have contributed in recent increase in popularity of yoga tourism, wellness tourism and medical tourism. Being the birthplace of yoga and with high specialized medical facilities, infrastructure, India has emerged as one of the most preferred and prominent medical and wellness tourism destination. The synergy of yoga practices and travel in the form of yoga tourism practices share a common objective of utilizing yoga as a therapeutic tool for medical or wellness purpose, but there are some differences in the context, application, focus and settings. Combining yoga practices with tourism elements (hospitality and natural attraction) enhance the health benefits. The aim of this paper is to understand the difference between yoga practices and yoga tourism practices and investigate its effectiveness in prevention or treatment of medical conditions in both medical and wellness field. This qualitative study presents a general framework for understanding the effectiveness of yoga practices intervention at different phases/level of medical treatment by using a comprehensive literature review and online focus group discussion method. Furthermore, this paper concludes the effectiveness of yoga tourism practices is more prevalent among treatment of medical condition.
EXPLORING THE IMPACT OF CENTRAL BANK DIGITAL CURRENCY ON FUTURE MANAGEMENT TRENDS IN INDIA
Authors: Pancholi Kritika , Ladha Vandana Lakhotia
Published: June 2024

This paper explores the transformative role of Central Bank Digital Currencies (CBDCs) on future management trends in India. Building on the success of Internet Banking and the Unified Payment Interface (UPI), CBDCs represent the next significant evolution in the financial landscape, offering the potential for instantaneous transactions and borderless transfer of ownership. The analysis underlines the impact of blockchain technology, which has fostered the growth of digital currencies, with Bitcoin being a notable instance. However, the recent shift towards CBDCs as the future of national fiat currency is being examined critically. The paper emphasizes the increasing global interest in digital currencies due to their potential for financial inclusivity, speed, and transparency. The implications of these changes for India's financial management trends, particularly in the context of accelerating digital transformation, are thoroughly examined.
ARTIFICIAL INTELLIGENCE IN TALENT MANAGEMENT: MAXIMIZING HUMAN RESOURCE POTENTIAL
Authors: Verma Ashutosh
Published: June 2024

In an era defined by unprecedented technological advancements, Artificial Intelligence (AI) has emerged as a transformative force, revolutionizing every aspect of our lives. The influence of Artificial Intelligence (AI) has been significant across various domains, and the field of human resource management is no different. This chapter explores the growing significance of Artificial Intelligence (AI) in the implementation of talent management strategies within organizations. As Artificial Intelligence (AI) technologies continue to advance, organizations have the opportunity to leverage data-driven insights and automation to optimize their talent acquisition, development, and retention strategies. This chapter offers a comprehensive overview of the applications of Artificial Intelligence (AI) in talent management, explores the benefits and challenges associated with its implementation, and discusses the ethical considerations surrounding Artificial Intelligence (AI) usage. Through the analysis of present trends and prospective implications, the primary objective of this chapter is to illuminate the transformative capabilities of Artificial Intelligence (AI) in talent management and its consequences for achieving organizational success.
EXPLORING FUNDAMENTALS: THEORY OF MACHINES AND MECHANISM INVERSIONS
Authors: Sandeep Kumar Mr. , Prabir Sarkar Dr.
Published: June 2024

The kingdom of Mechanical Engineering is closely knotted with the principles governing motion, transformation, and the complex interactions within machines and mechanisms. This chapter explores the foundational aspects of "Theory of Machines and Mechanism Inversions". Theory of Machines forms the foundation of Mechanical Engineering, encompassing dynamics, kinematics, and mechanism classifications. This chapter explores into its core, highlighting mobility, degrees of freedom, and linkage between mechanisms and functions. Mechanism Inversions, a captivating concept, involves reconfiguring components to achieve diverse functionalities. Here, we are examining kinematic inversions in planar and spatial mechanisms, showcasing their adaptability in domains like robotics and automotive engineering. By altering arrangements, engineers can innovate and tailor designs to specific needs. In conclusion, this research offers insights into the fundamental "Theory of Machines and Mechanism Inversions". By elucidating these concepts, it paves the way for innovative mechanical engineering solutions, underpinning how engineers analyze, optimize, and conceptualize mechanical systems.
EFFECT OF HEAT TREATMENT AND IT’S BEHAVIOUR ON MECHANICAL PROPERTIES OF PURE TITANIUM
Authors: Satyanarayan Dr. , Algur Veerabhadrappa , Basavaraj Kusammanavar
Published: June 2024

Titanium (Ti) is widely used in many applications due to its compatibility with different environmental conditions. However, pure Ti has low-to-moderate strength. Heat treatment of Ti is one option to improve its mechanical properties. The current study aims to investigate the effect of heat treatment on microhardness (Vickers) and wear properties of pure Titanium (Ti  Grade 2). The cylindrical shaped Ti was isothermally held in the tubular furnace at a temperature of 920˚C for about 30 mins and cooled in different modes such as quenching in water, ice, oil (Servo 4T 20W40), air (Normalizing), and furnace cooling (Annealing). Further samples were kept in a freezer for 20 days (20). The results of each specimen were compared and the best cooling medium was determined in terms of hardness and worn-out surfaces. Specimen cooled in water exhibited intermediate (fair) wear and hardness properties compared to specimen cooled in other media.
AUTOMATION OF INDEXING HEAD FOR MILLING MACHINE
Authors: Pasarkar Amruta , S Balaguru , Choudhary Ashok , Dedwal Mayur , Dandale Rushikesh
Published: June 2024

Indexing heads are widely used in milling machines for cutting complex shapes. The process of indexing the head manually can be time-consuming and error prone. Therefore, this paper proposes the automation of the indexing head for milling machines using a stepper motor and a microcontroller. The proposed system provides high precision and reduces the setup time required for indexing the head. The system is designed and implemented using open-source hardware and software tools. The experimental findings demonstrate that the suggested system is reliable and accurate, and it can significantly improve the efficiency of milling operations.
THE CENTRAL OF REMOTE SENSOR MATERIALS, TECHNOLGIES AND APPLICATIONS UTILIZED SECURITY AND PROTECTION OF INFORMATION
Authors: Rekha T
Published: June 2024

Remote Sensor Organization remains as perhaps of the most arising innovation consolidating together detecting, computational ability and correspondence into minute gadgets continuing towards entirely different universe of effortlessness. The plan of a WSN relies fundamentally upon the application, and it should think about elements like the climate, the application's plan targets, cost, equipment, and framework limitations. There is a need of a transitional programming layer between the sensor equipment and the sensor network applications that might be named as middleware. In remote sensor organization, an assortment of little sensor hubs conveys through radio connection point. For the most part Remote Sensor Organization (WSN) comprises of many conveyed gadgets spatially, utilizing sensors to screen different circumstances at different places, including temperature, sound, vibration, strain, movement or contaminations. WSN goes about as a middle person between the genuine actual world and the virtual world.
NAVIGATING THE TELEMATICS LANDSCAPE: APPLICATIONS, TECHNOLOGY, CHALLENGES AND IMPACT
Authors: Sathya S.
Published: June 2024

A combination of informatics and telecommunications is telematics. The phrase "telematics," which combines the words "telecommunications" and "informatics," refers to the use of IT and communication to send, store, and receive data from devices to distant objects across a network. Nowadays, voice commands can be used to control anything. In-car voice recognition technologies have been developed by a number of automakers and independent vendors, improving how users interact with their automobiles. Without barely moving a finger, a motorist can change the radio station, turn on the headlights, and use GPS by using simple voice instructions. By doing so, accidents are less likely because the driver can concentrate on driving. Time-series data is used in IoT-powered predictive maintenance, which is a logistically responsible and cost-effective technique. By doing so, accidents are less likely because the driver can concentrate on driving. Time-series data is used in IoT-powered predictive maintenance to detect parts that need maintenance in a cost-effective and logistically responsible way. This strategy saves time while also lowering the cost of part replacement and assisting drivers in avoiding aggravating roadside circumstances.
ARTIFICIAL INTELLIGENCE REVOLUTION IN LAW: SHAPING JUSTICE FOR TOMORROW
Authors: S Purushothaman Dr.
Published: June 2024

Integrating Artificial Intelligence (AI) technology into legal and justice administration systems has brought about a revolutionary transformation in the legal profession. This research review paper explores the positive outcomes of AI applications and their profound effects on various aspects of the legal field, including legal research, case management, contract analysis, predictive analytics, and dispute resolution. By analysing relevant literature and case studies, this paper highlights how adopting AI has increased efficiency, reduced costs, and improved access to justice, fundamentally reshaping the legal landscape. However, the widespread adoption of AI in the legal sector raises ethical considerations and challenges, underscoring the importance of responsible AI implementation to ensure equitable outcomes. Through a comprehensive review of existing research and best practices, this paper provides a nuanced understanding of AI adoption's potential benefits and pitfalls, paving the way for a technology-enhanced and just legal future.
NEED OF SKILL DEVELOPMENT PROGRAM TO EMPOWERING WOMEN: AN INITIATIVE OF SKILL INDIA MISSION
Authors: Barman Nandini
Published: June 2024

It is often said that, “when women move forward, the family moves, the village moves, and the nation moves” (Pandit Jawaharlal Nehru, 1951).The present paper intent to analyze the programs and initiatives taken by the Skill India Mission under Ministry of Skill Development and Entrepreneurship to promote self-employment among women. Indian women seems always indulged them with domestic activities and they give priority to look after their child to give best life. Thus keep the women isolated from workplace and unable to lead them independent life. In order to increase the women workforce in the mainstream, govt has taken many initiatives to encourage women employability in the workplace. Further a great number of women are involved in conventional and unorganized sector, which give them no security of wages or tenure, it keep them away to improve their social status and remain them in lower status . Hence it is necessary to remove the inadequacy between male and female, the gap has to be filled earlier to improve socio-economic status of the country. Therefore Skill India Mission comes with their special program to promote women employability by engaging them into training to develop skill among them. These training really cater the needs of women, by proving them all facilities like safe transport, flexible schedule, free accommodation and childcare support at the training center. It has transformed over 35.56 lakh women through various schemes viz. PMKVY, NAPS, JSS, CTS and CITS under MSDE to improve their social security, economy option and limit their opportunities to gain from newer, non-traditional professions.
A COMPREHENSIVE REVIEW OF ONLINE AND OFFLINE HANDWRITTEN KANNADA CHARACTER RECOGNITION
Authors: S Ajith
Published: June 2024

Handwritten Character Recognition (HCR) is an important area of Computer Vision and Image Processing. Algorithms associated with Pattern Matching and Machine learning play a vital role in recognizing the handwritten text or characters. These handwritten characters are stored, preprocessed, required features are extracted, and then the extracted features are trained using Machine learning techniques. Though the few studies describe methods for converting handwritten scripts into system readable format, still there exist a lot of challenges in recognizing handwritten Kannada script. This paper delivers a detailed study of both Online Handwritten Kannada Character Recognition and Offline Handwritten Kannada Character Recognition.
APPLICATION OF MACHINE LEARNING FOR INTRUSION DETECTION IN SMART CITY APPLICATIONS
Authors: Mahanta Kshyamasagar , Maringanti Hima Bindu
Published: June 2024

A smart city is one that use technology to deliver services and address urban issues. A smart city works to enhance social services, enhance sustainability, and offer its residents flexibility. The interplay of technology, apps, and ideas is influencing every facet of the digital citizen's existence. Citizens in smart cities engage with their local ecosystems via a variety of devices, including smartphones, mobile gadgets, connected vehicles, and residences. Integration of large no of different kinds of IoT(Internet of Things) devices makes smart city very complicated. As various sensors collects data from different devices , the most important issue is to protection of data. For security concern zero-day attacks must be detected immediately. For this artificial intelligence based intrusion detection system is required. In this chapter, Author suggest an artificial intelligence-based intrusion detection system that can efficiently defend against new or continually changing attacks against IoT based smart city environment in order to resolve these problems.
DRIVING INSIGHTS: DIMENSIONALITY REDUCTION WITH PRINCIPAL COMPONENT ANALYSIS ON AUTOMOBILE MPG DATASET
Authors: Sagar Dr. Renuka
Published: June 2024

Dimensionality reduction is a fundamental technique in machine learning and data analysis to effectively handle high-dimensional datasets. In this study, we focus on applying Principal Component Analysis (PCA) to reduce the dimensionality of the Auto MPG dataset, a popular dataset that contains information about various car models and their fuel efficiency. The objective of this research is to explore the application of PCA for dimensionality reduction in the context of the Auto MPG dataset. PCA works by transforming the original features into a new set of uncorrelated variables called principal components. By selecting a subset of these components, we can retain the most informative aspects of the data while reducing its dimensionality. Through the application of PCA to the Auto MPG dataset, we aim to achieve two primary outcomes. Firstly, we aim to identify the most influential features that contribute significantly to the variation in fuel efficiency across different car models. Secondly, we seek to determine the optimal number of principal components to retain, striking a balance between dimensionality reduction and preserving the information necessary for accurate analysis. By implementing PCA and evaluating its performance on the Auto MPG dataset, we hope to provide insights into the potential benefits of dimensionality reduction techniques for automotive data analysis. The findings of this study could have implications for enhancing fuel efficiency, understanding the key factors affecting it, and improving decision-making processes related to automobile design and engineering.
A Rare Case of Human Urogenital Myiasis Caused by Chironomus crassicaudatus (Diptera: Chironomidae) from Kolkata, India
Authors: Banerjee Kokila , Dutta Arindam , Roy Subhendu
Published: June 2024

Infestation by the Dipteran insect larvae is one of the public health problems in tropical countries, including India. Calliphorid flies are reported to cause various types of myiases, including urogenital myiasis. Besides, non-myiasis-producing flies also occasionally invade human or animal tissues and cause myiasis. For the first time, we report here, an uncommon type of myiasis of the urogenital system due to an infestation by Chironomus larvae. A 19 year-old female patient from a poor socio-economic background from Kolkata, India attended the outpatient department with a complaint of passing worms in her urine with one-to-five larvae, several times a day, for four weeks. Another member of the family had a similar complaint. The larvae isolated from the patient were identified to be Chironomus crassicaudatus (Diptera: Chironomidae). It was probable that Chironomid flies breeding in and around the dwellings had infested the urethra. The patient was successfully treated with albendazole. Implementing overall environmental and personal hygienic living conditions, eliminating fly breeding habitats, and avoiding sharing of a common toilet facility are important measures to avoid such kind of fly infestation.
Reticular Telangiectatic Erythema in Association to Implanted Medical Device
Authors:   The Manchester Metropolitan University, UK., Sebastian Maya
Published: June 2024

Infections associated with implantable devices pose significant risks, as bacteria and other microorganisms can attach to the device surfaces, leading to complications ranging from mild inflammation to severe, potentially fatal infections. This review explores the development of reticular telangiectatic erythema (RTE) in patients with various implanted medical devices, including subcutaneous neurostimulators, shoulder prostheses, and hip prostheses. RTE manifests as red, net-like patches on the skin covering the device and is often associated with low-grade infections caused predominantly by Staphylococcus epidermidis, known for its biofilm-forming capability. The review presents three cases of RTE following device implantation, all resolving after antimicrobial treatment and device removal, despite negative patch tests for contact allergies. These cases highlight the importance of recognizing low-grade infections in patients with implanted devices and underscore the need for precise diagnostic and therapeutic strategies. The findings suggest that infections involving S. epidermidis play a critical role in the development of RTE. This review stresses the importance of preventive measures such as meticulous implantation techniques and prophylactic antibiotics and advocates for further research with larger sample sizes to better understand the role of microorganisms in RTE. It also calls for the development of improved diagnostic and treatment strategies. Future research directions include creating new materials resistant to biofilm formation, developing advanced antimicrobial agents, and enhancing diagnostic techniques to detect infections earlier.
Tiếp cận “Bình địa trong lửa” của Juan Rulfo từ phê bình cảnh quan
Authors: Lê Ngọc Phương
Published: June 2024

Juan Rulfo là nhà văn Mexico, có sức ảnh hưởng lớn đến những người đương thời và hậu bối, mặc dù sáng tác của ông không hề phong phú. Di sản của ông để lại bao gồm tập truyện Bình địa trong lửa và cuốn tiểu thuyết Pedro Páramo. Bài viết lựa chọn nghiên cứu tác phẩm Bình địa trong lửa của Juan Rulfo từ lý thuyết phê bình cảnh quan để thấy được vấn đề môi trường, cảnh quan, một điều mà nhà văn người Mexico luôn trăn trở. Cảnh quan hoang tàn, cảnh quan chết, đột biến cảnh quan, không gian bị bỏ lại trong tập truyện ngắn Bình địa trong lửa ẩn dụ cho tình trạng bị bỏ mặc của con người và sự suy vong của xã hội. Từ mối quan hệ giữa cảnh quan với con người, nghiên cứu sẽ phân tích một số căn nguyên xã hội dẫn đến tình trạng đó: chế độ ruộng đất, nạn địa chủ tham nhũng thâu tóm quyền lực ở địa phương, tình trạng chiến tranh, bạo lực đẩy con người vào tội lỗi.
ผลของโปรแกรมการสอนแนะที่เน้นการออกกำลังกายแบบนิวโรบิกส์ต่อความจำและการทำหน้าที่ด้านการบริหารจัดการของผู้ป่วยโรคหลอดเลือดสมอง
Authors:   , แสนเมือง รัชฎาพร
Published: June 2024

การวิจัยกึ่งทดลองนี้ ศึกษาผลของโปรแกรมการสอนแนะที่เน้นการออกกำลังกายแบบนิวโรบิกส์ต่อความจำและการทำหน้าที่ด้านการบริหารจัดการของผู้ป่วยโรคหลอดเลือดสมอง กลุ่มตัวอย่าง คือ ผู้ป่วยโรคหลอดเลือดสมองชนิดขาดเลือดระยะหลังเฉียบพลัน ทั้งเพศชายและหญิง อายุ 40 ปี ขึ้นไป ที่เข้ารับการรักษา ณ Siriraj Acute Stroke Unit โรงพยาบาลศิริราช จำนวน 34 คน แบ่งเป็นกลุ่มทดลอง และกลุ่มควบคุม กลุ่มละ 17 คน กลุ่มทดลองได้รับโปรแกรมการสอนแนะที่เน้นการออกกำลังกายแบบนิวโรบิกส์ ที่พัฒนาจากแนวคิดการสอนแนะของ Girvin (1999) ร่วมกับแนวคิดการออกกำลังกายแบบนิวโรบิกส์ของ Katz and Rubin (1999) 3 ครั้งต่อสัปดาห์ เป็นเวลา 4 สัปดาห์ และกลุ่มควบคุมได้รับการพยาบาลตามปกติ ระหว่างการวิจัยมีกลุ่มควบคุม 1 คน ถูกคัดออกจากการศึกษา จึงเหลือกลุ่มตัวอย่างทั้งหมด 33 คน ประเมินความจำ ด้วยแบบประเมินพุทธิปัญญา และประเมินการทำหน้าที่ด้านการบริหารจัดการ ด้วยแบบทดสอบการทำหน้าที่ของสมองกลีบฟรอนทรัล ค่าความเที่ยงของทั้งสองเครื่องมือ จากการหาความสอดคล้องภายใน ได้ค่าสัมประสิทธิ์แอลฟาของครอนบาค เท่ากับ .82 เท่ากัน วิเคราะห์ข้อมูลด้วย Descriptive Statistics, Pearson Chi-square, Fisher's Exact test และ t-test ผลการวิจัยสรุปได้ ดังนี้

ค่าเฉลี่ยคะแนนความจำและการทำหน้าที่ด้านการบริหารจัดการหลังทดลองของทั้งสองกลุ่มสูงกว่าก่อนทดลองอย่างมีนัยสำคัญทางสถิติที่ระดับ .05 และค่าเฉลี่ยคะแนนความจำและการทำหน้าที่ด้านการบริหารจัดการหลังทดลองของกลุ่มที่ได้รับโปรแกรมสูงกว่ากลุ่มที่ได้รับการพยาบาลตามปกติอย่างมีนัยสำคัญทางสถิติที่ระดับ .05

ผลการวิจัยนี้แสดงให้เห็นว่า โปรแกรมการสอนแนะที่เน้นการออกกำลังกายแบบนิวโรบิกส์ สามารถช่วยให้ความจำและการทำหน้าที่ด้านการบริหารจัดการหลังโรคหลอดเลือดสมองมีการฟื้นตัวเพิ่มมากขึ้น พยาบาลและบุคลากรทางสุขภาพสามารถนำไปประยุกต์ใช้เพื่อส่งเสริมการฟื้นตัวด้านความจำและการทำหน้าที่ด้านการบริหารจัดการในผู้ที่เป็นโรคหลอดเลือดสมองได้
การศึกษาเปรียบเทียบภาพลักษณ์ของผู้ป่วยก่อนและหลังผ่าตัดทําทางเบี่ยงหลอดเลือดหัวใจ
Authors:   , มูลแก้ว ปัณณวิชญ์
Published: June 2024

การศึกษาครั้งนี้เป็นการศึกษาบรรยายเชิงเปรียบเทียบเพื่อศึกษาภาพลักษณ์ของผู้ป่วยก่อนและหลังผ่าตัดทำทางเบี่ยงหลอดเลือดหัวใจ กลุ่มตัวอย่าง คือ ผู้ป่วยที่ได้รับการผ่าตัดทำทางเบี่ยงหลอดเลือดหัวใจ จำนวน 320 คน คัดเลือกกลุ่มตัวอย่างด้วยวิธีการสุ่มแบบหลายขั้นตอนจากผู้ป่วยที่เข้ารับบริการ ณ แผนกผู้ป่วยนอก โรงพยาบาลตติยภูมิ เขตพื้นที่กรุงเทพมหานคร จำนวน 3 โรงพยาบาล เก็บรวบรวมข้อมูลโดยใช้แบบสอบถาม 2 ส่วน คือ 1) แบบบันทึกข้อมูลส่วนบุคคล  2) แบบสอบถามภาพลักษณ์ ผ่านการตรวจสอบความตรงเชิงเนื้อหาโดยผู้ทรงคุณวุฒิ 5 คน ค่าสัมประสิทธิ์แอลฟาครอนบาค ของแบบสอบถามภาพลักษณ์ได้เท่ากับ 0.88   วิเคราะห์ข้อมูลด้วยสถิติเชิงพรรณนา สถิติทดสอบทีและสถิติการวิเคราะห์ความแปรปรวนแบบวัดซ้ำ ผลการวิจัยสรุปได้ดังนี้

1. ภาพลักษณ์ของผู้ป่วยก่อนการผ่าตัดทำทางเบี่ยงหลอดเลือดหัวใจ จากการศึกษาครั้งนี้พบว่า กลุ่มตัวอย่างมีภาพลักษณ์ก่อนการผ่าตัดทำทางบี่ยงหลอดเลือดหัวใจอยู่ในระดับดีมาก โดยค่าเฉลี่ยคะแนนภาพลักษณ์เท่ากับ 13.10  ± 4.14 คะแนน

2. ภาพลักษณ์ของผู้ป่วยหลังการผ่าตัดทำทางเบี่ยงหลอดเลือดหัวใจ จากการศึกษาครั้งนี้พบว่า กลุ่มตัวอย่างมีภาพลักษณ์หลังการผ่าตัดทำทางบี่ยงหลอดเลือดหัวใจอยู่ในระดับดี โดยค่าเฉลี่ยคะแนนภาพลักษณ์เท่ากับ 19.49  ± 6.61 คะแนน

3. เมื่อเปรียบเทียบภาพลักษณ์ก่อนและหลังผ่าตัดทำทางเบี่ยงหลอดเลือดหัวใจ พบว่า ภาพลักษณ์ก่อนและหลังผ่าตัดทำทางเบี่ยงหลอดเลือดหัวใจมีความแตกต่างกันอย่างมีนัยสำคัญทางสถิติที่ระดับ 0.05 (t = -24.16, df = 319, p = 0.00)

4. เมื่อพิจารณา 7 ตัวแปร ได้แก่ ตัวแปรเพศ อายุ อาชีพ โรคร่วม ดัชนีมวลกาย สถานภาพสมรสและระดับการศึกษา พบว่าภาพลักษณ์ก่อนและหลังผ่าตัดทำทางเบี่ยงหลอดเลือดหัวใจมีความแตกต่างกันอย่างมีนัยสำคัญทางสถิติที่ระดับ 0.05 (F = 544.484, F = 136.410, F = 199.973, F = 183.928, F = 165.042, F = 391.982, F = 361.773 ตามลำดับ)
ความสัมพันธ์ระหว่างความสนุกในสถานที่ทำงาน และความผูกพันในงาน โดยมีอายุทางอัตวิสัย และการเรียนรู้แบบไม่เป็นทางการเป็นตัวแปรส่งผ่านในกลุ่มบุคลากรอาวุโส
Authors:   , อุ่นใจ มนัส
Published: June 2024

งานวิจัยนี้มีวัตถุประสงค์เพื่อศึกษาอิทธิพลส่งผ่านของการเรียนรู้แบบไม่เป็นทางการและอายุทางอัตวิสัยต่อความสัมพันธ์ระหว่างความสนุกในสถานที่ทำงานและความผูกพันในงานของบุคลากรอาวุโส โดยเก็บข้อมูลจากกลุ่มตัวอย่างบุคลากรอาวุโสที่ปฏิบัติงานกับองค์กรเอกชนในประเทศไทย จำนวน 208 คน มีอายุระหว่าง 40 ถึง 65 ปี ใช้แบบสอบถามออนไลน์ การ﻿วิเคราะห์ข้อมูลด้วยสถิติเชิงพรรณนาและสถิติเชิงอนุมาน รวมทั้งการวิเคราะห์สถิติการทดสอบตัวแปรส่งผ่าน ผลการวิจัยพบว่า ความสนุกในสถานที่ทำงานมีความสัมพันธ์ทางบวกกับความผูกพันในงาน อย่างมีนัยสำคัญทางสถิติ ﻿(β = .54, SE = .09, 95% ของช่วงชั้นความเชื่อมั่น [.464, .815], p < .01) การเรียนรู้แบบไม่เป็นทางการเป็นตัวแปรส่งผ่านระหว่างความสนุกในสถานที่ทำงานและความผูกพันในงาน (β = .10, SE = .04, 95% ของช่วงชั้นความเชื่อมั่น [.023, .196]) ในขณะที่ อายุทางอัตวิสัยไม่ใช่ตัวแปรส่งผ่านระหว่างความสนุกในสถานที่ทำงานและความผูกพันในงาน สรุปได้ว่าการเรียนรู้แบบไม่เป็นทางการเป็นตัวแปรส่งผ่านบางส่วนระหว่างความสนุกในสถานที่ทำงานและความผูกพันในงานในบุคลากรอาวุโส เมื่อความสนุกในสถานที่ทำงานสูงบุคลากรอาวุโสมีแนวโน้มที่จะเกิดการเรียนรู้แบบไม่เป็นทางการและส่งผลไปยังความผูกพันในงานในที่สุด ผลการศึกษานี้สามารถใช้เป็นแนวทางสำหรับองค์การเพื่อนำไปออกแบบสภาพแวดล้อมการทำงานและพัฒนากิจกรรมการเรียนรู้แบบไม่เป็นทางการให้เหมาะสมกับบุคลากรอาวุโส
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Authors: Valls Esteve , Prats Sònia , de Bofarull Jordi , Fullola Montserrat , Julien Eva , García-Rueda Rebeca , Riera Laura
Published: June 2024

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Published: June 2024

Pentingnya   bahasa Inggris harus diajarkan anak sejak usia dini karena darnpak dari globalisasi dan bahasa Inggris juga rnenjadi bahasa Intemasional.  Pernbelajaran  bahasa Inggris pada anak usia dini dilakukan secara bertahap dan diajarkan hanya sebatas pengetahuan atau dasar• dasamya saja tidak secara rnendalarn. Pernbelajaran bahasa Inggris bisa dilakukan dengan berbagai cara,  rnisalnya dengan lagu  ataupun perrnainan  agar anak tidak  rnerasa bosan  dan lebih sernangat dalarn belajar bahasa Inggris. Peran orang tua juga penting dalarn proses pernbelajaran dengan rnenggunakan bahasa Inggris di rurnah rneskipun dalarn waktu yang singkat agar bahasa Inggris  anak  sernakin berkernbang.  Belajar  bahasa  Inggris  sejak  dini  rnernbantu  anak-anak rnengernbangkan  keterarnpilan  berbicara,  rnendengar,  rnernbaca,  dan  rnenulis  dalarn  bahasa Inggris. Dengan diberikan pembelajaran bahasa  Inggris pada sekolah dasar otornatis ketika  anak-anak  akan rnelanjutkan pada jenjang rnenengah peserta didik akan rnudah rnenerirna bahasa Inggris
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Authors: الرجراجي مصطفى
Published: June 2024

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Published: June 2024

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Authors: Kerna Nicholas A. , Ngwu Dabeluchi C. , Akuma Ogochukwu Mirian , Holets Hilary M. , Chawla Sudeep , Flores John V. , Pruitt Kevin D. , Carsrud N.D. Victor , McKee Devin , Okpo Nicodemus Chidi , Jomsky Breanna M. , Azi Cornelius I.
Published: June 2024

Quercetin, an abundant flavonoid in various foods and plants, exhibits diverse therapeutic potential due to its antioxidant, anti-inflammatory, and anticancer properties. This review explores its biological and pharmacological activities, mechanisms of action, formulations, absorption, bioavailability, adverse effects, and potential therapeutic applications.Initially isolated in the 1800s as a dye and in 1936 as a polyphenol, quercetin has garnered attention for its antioxidant capabilities, particularly in preventing oxidative damage from low-density lipoprotein (LDL) cholesterol, reducing the risk of cardiovascular disease (CVD). Studies also suggest its efficacy in lowering blood glucose levels, improving insulin sensitivity, and inhibiting viral infections, including COVID-19.Despite its promising benefits, quercetin’s bioavailability is limited by factors such as poor water solubility and rapid metabolism. Researchers have explored various formulations and delivery systems, including quercetin glycosides, nano-formulations, and phytosomes, to enhance quercetin’s absorption and effectiveness.While generally considered safe, high doses of quercetin supplements may lead to gastrointestinal disturbances, headache, and tingling sensation. Furthermore, its interaction with other medications warrants further investigation.Quercetin has therapeutic advantages in CVDs, metabolic syndrome, neurodegenerative disorders, respiratory conditions, skeletal conditions, bacterial and fungal infections, cancer, diabetes, iron-induced toxicity, oxidative stress, and viral infections. However, research in humans is limited, and optimal dosage and formulations remain to be established.Quercetin’s diverse pharmacological activities make it a promising therapeutic agent for various conditions, disorders, and diseases. Future research should focus on standardizing formulations, investigating long-term safety, elucidating mechanisms of action, and clarifying interactions with other medications to optimize quercetin’s therapeutic use.
Review of Mining and Sanitation Waste Water Management and Their Contribution to Water Contamination in Zambia
Authors: Mutika Richard , Tun Swe Zin , Tembo Florence Mutale
Published: June 2024

This research digs into the convoluted topography of water contamination in Zambia's Copperbelt Province, with an emphasis on the important contributions of mining and sewage effluent. This report provides major conclusions about the origins, types, and effects of contaminants in the region's water bodies based on a thorough review of current research and empirical evidence. Mining activities emerge as a major source of water pollution, with effluent contaminated with heavy metals, sulphates, and other compounds that pose serious hazards to aquatic ecosystems and public health. Despite efforts to improve wastewater treatment, shortcomings persist, resulting in the leakage of toxic effluent into neighboring waterways. Similarly, sewage wastewater contributes to contamination by including faecal coliforms, nutrients, oils, and heavy metals. The effects of water contamination are far-reaching, as indicated by increasing pollutant concentrations in stream sediments and downstream bodies. Aquatic life suffers from habitat destruction, diminished biodiversity, and negative health effects, while communities relying on these water supplies face increased health risks. Given these issues, the paper analyses potential solutions and recommendations for effective wastewater management, with a focus on interdisciplinary collaboration, technical innovation, and regulatory enforcement. Initiatives fostering recycling, resource recovery, and the implementation of advanced treatment technology hold promise for minimizing water pollution and maintaining sustainable water management practices in the Copperbelt Province.
Geospatial Assessment of Potential Groundwater Zones Within Igede Ekiti, Ekiti State, Nigeria
Authors: Odesola Oluwagbotemi O. , Ogunlade S.O.
Published: June 2024

Groundwater happens to be an accessible and renewable source of water, and so has to be monitored. A Multi-criteria Decision approach was utilized which allows for data fusion of various thematic criteria using the Analytical Hierarchical approach to assign weight to the selected criteria peculiar to Igede-Ekiti, of Irepodun/Ifelodun Local Government Area. The study aims to carry out a geospatial assessment of the groundwater potential zone within Igede Ekiti, Ekiti state. Geology, Rainfall, Digital Elevation Model, Land Use land cover, Nominal difference in water Index (NDWI), Slope and Lineament density were selected to depict the potential groundwater zones, of which geospatial assessments were carried out. Selected groundwater sources in the form of boreholes and well were afterwards used to ground truth and depict the distribution of groundwater sources within the study area. The ArcMap software’s weight overlay Analysis was used to present the output in the form of a Potential Groundwater zones (PGWZ) map, with the Groundwater sources, wells and boreholes, indicating that they were well dispersed within the study area, but more densely situated around the built-up class of the study area. The results indicate that high PGWZ was more prevalent than the other classes, as the classes were distributed into very high, high and low PGWZ. The very high PGWZ covered 7%, the high PGWZ 55% and the Low PGWZ, 38%. The study can be used for further physical planning and decision-making for policymakers. Further research into the Spatio-temporal behaviour of groundwater potential is recommended.
La ética de la inteligencia artificial en el campo educativo.
Authors: Bernardo Santiago Grisi , Bernardo Santiago Madelaine , Fuentes Calcino Alfonso Reynaldo
Published: June 2024

Abstract The ethics of artificial intelligence is a dynamic for the evaluation and regulatory orientation of artificial intelligence technologies, the objective of which is to analyze the ethics of artificial intelligence in the educational field. Furthermore, artificial intelligence has taken a crucial role in research ethics, as it poses ethical challenges and dilemmas that must be carefully addressed, massive data collection and people’s privacy are topics of great relevance. At the same time, it is essential to consider algorithmic bias and automated decision-making that may affect specific groups in society. On the other hand, it is essential to guarantee the privacy and security of student data, as well as address equity in access to technology and avoid exclusion or discrimination based on algorithms. Likewise, artificial intelligence is revolutionizing education by providing tools and resources that transform the way we teach and learn. Finally, personalization of learning, virtual tutoring, automated assessment, and intelligent educational resources are just some of the applications of AI that are improving the quality and accessibility of education. However, it is important to address the ethical and social challenges associated with its implementation. Keywords: Ethics, artificial intelligence, education