Utilization Of Advanced Technologies Research Articles

Integrating the Technology Acceptance Model (TAM) into the Supply Chain of India's Passenger Car Industry: Mitigating Technical Uncertainties

This study explores the application of the Technology Acceptance Model (TAM) in the context of the Indian passenger car industry's supply chain, with a specific focus on addressing technical uncertainties. The research aims to investigate how TAM can be leveraged to enhance the adoption and utilization of advanced technologies, thereby improving supply chain efficiency and resilience. The Indian passenger car industry is experiencing rapid growth, driven by increasing demand and technological advancements. However, technical uncertainties pose significant challenges to supply chain management. The Technology Acceptance Model (TAM) offers a valuable framework for understanding the factors influencing technology adoption. This study integrates TAM into the supply chain of the Indian passenger car industry to identify key drivers and barriers to technology acceptance.

Technology beyond Biology; Isn't It Time to Update WHO's Definition of Health?

Technology is increasingly shaping human life, particularly in healthcare, where recent advancements have revolutionized patient care. Despite these advances, the World Health Organization's (WHO) definition of health remains rooted in traditional notions, raising questions about its adequacy in light of technological progress. This paper explores the conceptual and practical limitations of the current definition and argues for its revision to encompass the role of technology in health. This paper examines the evolving landscape of healthcare technology and its philosophical implications, drawing on theories such as the Extended Health Hypothesis and the Extended Mind Hypothesis. It claims that health extends beyond traditional biological boundaries and includes the influence of technology on well-being. This paper advocates for a re-examination of the WHO definition of health to reflect the integral role of technology in modern healthcare. Recognizing technology as part of health necessitates a broader conceptual framework that acknowledges the interconnectedness of biology, technology, and human well-being. Given technology's transformative role in healthcare, this paper argues for a revaluation of the WHO's definition of health to encapsulate the evolving relationship between technology and human well-being. At the end, we propose a new definition recognizing that health is a dynamic state of physical, mental, social, and technological well-being, wherein individuals can achieve optimal quality of life through the harmonious integration of biological, psychological, and technological factors. This state encompasses not only the absence of disease but also the effective utilization of advanced technologies.

Comparative Evaluation of Speech Quality Before and After Functional Palatal Recontouring in Complete Dentures using Artificial Intelligence: A Study Protocol.

Introduction In the realm of dentistry, where precision and understanding of oral structures are paramount, the utilization of advanced technologies has revolutionized diagnostic and treatment methodologies. One such technology, palatography, holds significant importance in understanding the intricate dynamics of the oral cavity, particularly the interaction between the tongue and the palate during speech and swallowing. In the field of prosthodontics, achieving a successful outcome goes beyond simply restoring missing teeth. A well-designed denture or prosthesis should not only function properly but also consider factors like aesthetics, comfort, and speech intelligibility. Methods The speech quality analysis using artificial intelligence has been designed to assist in the palatal recontouring of complete dentures during the trial denture appointment and denture insertion. The study will be conducted on 12 completely edentulous patients, selected based on exclusion and inclusion criteria. Expected results The palatal recontouring assessment is expected to improve speech quality significantly. This could be incorporated into routine complete denture rehabilitation cases where the ease of technology can help enhance the phonetics of the prosthesis. Conclusions Patients undergoing full denture rehabilitation benefit greatly from phonetics. Taking this key factor into play through the use of advanced but readily available technology, palatography can be employed as a routine procedure for rehabilitation through complete dentures. There is definitely a learning curve involved while making it a routine procedure, but it is, nonetheless, a significant addition to holistic rehabilitation.

Does Patient Satisfaction and Trust Matter in the Relationship between Service Quality and Patient Loyalty in the Ghanaian Health Sector?

In today’s fast-paced society, patients expect high-quality healthcare services that meet their unique health requirements. Similarly, healthcare providers emphasize quality care, utilization of advanced technologies, and promoting a culture of excellence to deliver the best possible outcomes for their clients. This study investigated how patients’ satisfaction and trust influence the relationship between service quality and patient loyalty. The theory that underpins this study was the Anderson Health Belief Model of health services use. The research adopts a quantitative descriptive research design and used a simple random sampling strategy to select 254 respondents from a target population of 1,384 who have patronised the services of the Upper East Regional Hospital in Ghana at least twice. A survey questionnaire was designed in the form of a five-point Likert scale to collect data while Structural Equation Modeling (SEM) was utilised to analyze the data. The study's findings showed a significant and positive correlation between service quality characteristics and patient loyalty. Patient satisfaction mediates the relationship between service quality and patient loyalty. However, trust did not moderate the relationship between patient satisfaction and patient loyalty. It is recommended that healthcare organizations, in particular public health facilities, should be aware of the importance that patients place on quality dimensions and use this knowledge to improve upon patient loyalty and satisfaction.

Assessment of Saudi Public Perceptions and Opinions towards Artificial Intelligence in Health Care.

Background and Objectives: The healthcare system in Saudi Arabia is growing rapidly with the utilization of advanced technologies. Therefore, this study aimed to assess the Saudi public perceptions and opinions towards artificial intelligence (AI) in health care. Materials and Methods: This cross-sectional web-based questionnaire study was conducted between January and April 2024. Data were analyzed from 830 participants. The perceptions of the public towards AI were assessed using 21-item questionnaires. Results: Among the respondents, 69.4% were males and 46% of them were aged above 41 years old. A total of 84.1% of the participants knew about AI, while 61.1% of them believed that AI is a tool that helps healthcare professionals, and 12.5% of them thought that AI may replace the physician, pharmacist, or nurse in the healthcare system. With regard to opinion on the widespread use of AI, 45.8% of the study population believed that healthcare professionals will be improved with the widespread use of artificial intelligence. The mean perception score of AI among males was 38.4 (SD = 6.1) and this was found to be higher than for females at 37.7 (SD = 5.3); however, no significant difference was observed (p = 0.072). Similarly, the mean perception score was higher among young adults aged between 20 and 25 years at 38.9 (SD = 6.1) compared to other age groups, but indicating no significant association between them (p = 0.198). Conclusions: The results showed that the Saudi public had a favorable opinion and perceptions of AI in health care. This suggests that health management recommendations should be made regarding how to successfully integrate and use medical AI while maintaining patient safety.

Bibliometric and visual analysis of severe trauma literature in the past 20 years

AbstractSevere trauma is a critical aspect of medical practice, profoundly impacting patient care and outcomes. Over the past 20 years, advancements in trauma care concepts and the utilization of advanced technologies have led to substantial growth in severe trauma research, evidenced by a notable increase in research activity and subsequent publications. To understand the publication landscape in severe trauma, identify prevailing research trends, and highlight areas requiring further development for future insights, we conducted a bibliometric analysis. Our analysis indicates that there are 16,939 severe trauma‐related publications from the past 20 years, with a continuous increase in publication volume, particularly showing a rapid growth trend from 2018 to 2021. The United States leads in both volume and citation frequency. Moreover, we synthesized data on productive countries/regions and research institutions, showcasing extensive collaboration across diverse geographic locations and institutional affiliations. Substantial progress has been achieved in severe trauma research, particularly in clinical diagnosis, treatment, epidemiology, prevention, and pathogenesis. However, there is still a gap in adopting cutting‐edge interdisciplinary methodologies. This study provides a comprehensive overview of the current state of severe trauma research and suggests pathways for future advancement.

Climate Change and Cultural Heritage: A Global Mapping of the UNESCO Thematic Indicators in Conjunction with Advanced Technologies for Cultural Sustainability

This study investigates the relationship between cultural heritage and climate change, assessing the global implementation of advanced technologies in line with UNESCO’s Thematic Indicators for Cultural Sustainability. Few studies have been conducted on this topic; hence, theoretical background examines the keywords related to cultural heritage preservation, conservation, restoration, climate change mitigation, and adaptation, as well as the intersection of culture and climate change. It also analyses the definitions provided by leading global organizations and explores the use of advanced technologies in protecting cultural heritage. The research methodology is based on an analytical method consisting of a bibliometric assessment and a scientometric assessment. The bibliometric and scientometric analyses map occurrences, frequencies, and intercorrelations of these keywords with UNESCO Thematic Indicators and advanced technology utilization. The findings reveal a predominance of conservation-related Thematic Indicators, suggesting a conservative approach to cultural sustainability, particularly for environmental resilience, wealth, and livelihoods. In terms of advanced technologies, laser scanning and photogrammetry are used for both conservation and restoration purposes, while chromatography and virtual tours are mainly applied to conservation and preservation practices. Otherwise, infrared thermography, X-ray imaging, and online platforms are used, respectively, for heritage preservation, restoration, and conservation. On the other hand, ground-penetrating radar and remote sensing exhibit fewer connections to heritage protection. The mapping of culture and climate change also highlights the importance of conservation in responding to changing climate conditions. Climate adaptation is closely linked to both conservation and preservation efforts, highlighting the critical role of cultural heritage in fostering climate resilience.

REAL-TIME MONITORING FOR DETECTING LAKE POLLUTION AND BIOTIC CONSERVATION

This research unveils a comprehensive system designed to tackle plastic pollution in lakes autonomously, eliminating the necessity for human intervention. By harnessing sensor data and camera imagery processed through the YOLO algorithm, the system identifies plastic debris. It then calculates the debris density and compares it against a preset threshold. Once the threshold is exceeded, an automated email alert containing the density data is sent to relevant authorities. Additionally, water quality sensors are integrated to continuously monitor environmental conditions. Regular updates are provided to enable proactive measures in pollution prevention. This endeavor showcases the utilization of advanced technology to address environmental challenges and safeguard aquatic ecosystems' health. By employing automated detection and monitoring mechanisms, the system offers a sustainable approach to combat plastic pollution in lakes, fostering environmental conservation endeavors.

Pre-service Teachers' Perspectives on the Integration of Technology in Future Education: Between English Education and Ethics Education Majors

The current study aimed to investigate the perceptions of pre-service teachers regarding the integration of advanced technologies into future education and to examine whether these perceptions differ significantly based on the pre-service teachers' academic majors. The participants consisted of 110 pre-service teachers majoring in Ethics education and English education at a university in Korea's Gyeongsang Province. A questionnaire comprising 59 items was administered, addressing aspects such as interest in the utilization of advanced technologies, resistance to their use, concerns about their application, and expectations for the future of education over the next decade. Statistical analyses, including a paired t-test, an independent <i>t</i>-test, frequency analysis, and analysis of variance, were employed to examine differences based on variables of gender and major. </br>The study revealed statistically significant disparities in the perceptions of pre-service teachers from distinct majors, particularly between English education majors and ethics education majors, concerning the incorporation of advanced technologies in education. English education majors demonstrated notably high awareness, particularly in the domain of neural machine translation. Conversely, ethics education majors demonstrated a lower inclination to embrace the use of advanced technologies in their instructional practices. Additionally, ethics education majors expressed the belief that the role of teachers would become more pivotal in classes integrating these technologies. Considering these research outcomes, it becomes evident that future education for pre-service teachers should underscore comprehensive training in both digital technology education and the development of competencies in areas where artificial intelligence cannot replace the role of educators.

The Impacts of Heat Stress on Rumination, Drinking, and Locomotory Behavior, as Registered by Innovative Technologies, and Acid-Base Balance in Fresh Multiparous Dairy Cows.

This study hypothesizes that heat stress adversely affects dairy cows, resulting in reduced rumination, altering eating and drinking behaviors, changes in their locomotory patterns, and significant variations in their acid-base balance. The aim of this study was to investigate the impacts of heat stress on rumination, drinking, and locomotory behavior, as registered by innovative technologies, and acid-base balance in fresh multiparous dairy cows. This study was conducted during the summer, from 15 June to 8 July 2023, on a Lithuanian commercial dairy farm. We assessed 350 German Holstein cows that produced an average of 11,400 kg of milk annually throughout their second and subsequent lactation periods. We used the temperature-humidity index (THI) to divide the cows under investigation into three periods: I. high HS-THI >78 (period: 15-23 June 2023); II. medium HS-THI 72-78 (period: 24-30 June 2023); and III. low HS-THI <72 (period: 1-8 July 2023). The appropriate RumiWatch sensor (RWS) parameters were assessed between 15 June 2023 and 8 July 2023. Cows were acclimatized to the rumination, drinking, and locomotory behavior parameters during the adaptation period (1-30 June 2023). The registration process started on 15 June 2023 and terminated on 8 July 2023 and was performed every hour during the 24 h day. The acid-base balance was recorded from 15 June 2023 until 8 July 2023, once per week. The cows' activity increased by 11.75% in the high HS period compared to the low HS period (p < 0.01); high mean differences were detected for rumination, which was 17.67% higher in the high HS period and 13.80% higher in the medium HS period compared to the low HS period (p < 0.01); and the change in activity was 12.82% higher in the low HS compared to the medium HS period (p < 0.01). Cows under high HS had higher blood urea nitrogen (BUN) levels compared with cows under medium HS (p < 0.01). The observed alterations in the rumination, drinking, and locomotory behaviors, in addition to the acid-base balance, highlight the multifaceted impacts of varying heat stress on the physiological and behavioral responses of dairy cows. This suggests that the utilization of advanced technologies may assist dairy farmers in effectively monitoring and controlling heat stress in cows. Additionally, regularly assessing blood urea nitrogen levels can enable farmers to modify their feeding practices, thus promoting optimal cow well-being and productivity.

Transformative Technologies in the Evaluation of a Vocational Education System

The increasing demand for vocational education has necessitated the presence of highly skilled teachers. This study presents a novel framework for the effective management of vocational college instructors’ professional development through the utilization of advanced technologies. The system utilizes deep learning technology to analyze many data points, including academic achievements, teaching experience, student comments, and professional activities, in order to assess the performance and potential of teachers. The system evaluates both the positive and negative aspects, offers customized training programs, and enhances the delivery of instruction through the utilization of a generative language model. The effectiveness of the system is supported by a case study, which demonstrates enhancements in talent management, professional development, teaching quality, and student happiness. This proposed solution aims to improve vocational education by empowering educators and transforming the processes of evaluation, support, and guidance throughout their professional trajectories.

Video Transcripts Summarization using OpenAI Whisper and GPT Model

Abstract: In today’s digital age, a vast amount of video content is generated and shared on the internet every minute. However, extracting relevant information from these videos can be time-consuming and challenging. This is where video transcript summarization comes in, providing a concise summary of video content without the need to watch the entire video. The video transcript summarization system aims to streamline the process of extracting key insights and information from video content by generating concise and informative summaries from their transcripts. In the dynamic landscape of video content, existing approaches to transcript summarization have encountered challenges that limit their effectiveness. Issues such as compromised accuracy, prolonged processing times and a restricted focus on YouTube's captioned videos have prompted the exploration of alternative solutions. This paper introduces a novel approach that tackles these limitations head-on, employing innovative technologies to redefine the landscape of video transcript summarization. To address the identified limitations, we propose an alternative strategy that hinges on the utilization of advanced technologies like OpenAI Whisper Model Automatic Speech Recognition(ASR) for video’s Transcription and Generative Pre-trained Transformer (GPT) model for Summarization. Through the integration of the OpenAI Whisper model for transcription and GPT models for summarization, our proposed approach strives to redefine standards in accuracy, processing efficiency, multilingual support, and exhibit the capability to generate either extractive or abstractive summaries. In the context of natural language processing (NLP) and text summarization ROUGE (Recall-Oriented Understudy for Gisting Evaluation) metrics will be used to evaluate the quality of generated summaries compared to human referenced summaries

The importance of advanced technologies in functional rehabilitation of the hand

Abstract: This systematic review examines groundbreaking advancements in hand rehabilitation, driven by significant progress in medical technology. Adhering to PRISMA guidelines, the review surveyed articles from various databases, emphasizing the utilization of advanced technologies for hand rehabilitation across diverse conditions such as fractures, burns, amputations, and postoperative care. Out of the 1562 studies analyzed, ten articles that met the inclusion criteria were identified. Key technologies like IMES (Implantable Myoelectric Sensor) technology are scrutinized for their potential to transform prosthetic control, providing intuitive functionality and substantial physiological hand function for individuals with limb loss. Similarly, advancements in orthotic devices like the VacoHand Orthosis are showcased for their improvements in stabilizing and aiding the healing process in wrist immobilization and rehabilitation. The integration of virtual reality (VR) emerges as a pivotal convergence point, offering supplementary therapy to enhance direction-specific improvements in wrist and forearm mobility, hand function, and work-related tasks. Additional advantages include program customization, heightened engagement through interactive approaches, and improved functional outcomes such as hand strength and range of motion. While showcasing transformative potential, the review acknowledges the need for further research through larger sample sizes, standardized methodologies and more in-depth investigations to optimize these technologies. Overall, this review underlines the remarkable advancements achieved in hand rehabilitation through technological innovations, offering hope and improved outcomes for individuals grappling with various hand-related challenges.

HUMAN RESOURCE MANAGEMENT STRATEGIES FOR SAFETY AND RISK MITIGATION IN THE OIL AND GAS INDUSTRY: A REVIEW

The oil and gas industry is renowned for its inherent operational risks and complex safety challenges, necessitating robust Human Resource Management (HRM) strategies for effective safety measures and risk mitigation. This comprehensive review explores the evolving landscape of HRM practices within the oil and gas sector, focusing on their pivotal role in enhancing workplace safety and reducing operational risks. The review delves into the dynamic nature of the oil and gas industry, characterized by hazardous work environments, intricate technological processes, and a global workforce. Analyzing existing literature and case studies, the paper underscores the critical need for HRM strategies that prioritize safety culture, employee training, and proactive risk management. Key aspects include recruitment and selection processes tailored to identify candidates with a strong safety mindset, ongoing training programs to enhance competencies and awareness, and the establishment of a safety-centric organizational culture. Furthermore, the review examines the integration of technology and data analytics in HRM practices within the oil and gas sector. The utilization of advanced technologies for personnel training, real-time monitoring, and predictive analytics is discussed as a means to pre-emptively identify potential safety risks and proactively address them. Additionally, the paper highlights the importance of fostering communication and collaboration among employees, emphasizing the role of HRM in facilitating a transparent and open reporting culture. The findings of this review contribute to a deeper understanding of the multifaceted role played by HRM in promoting safety and mitigating risks within the oil and gas industry. As the industry continues to evolve, the adoption of innovative HRM strategies becomes imperative for organizations seeking to maintain a secure and resilient operational environment while safeguarding the well-being of their workforce.&#x0D; Keywords: HR, Management, Safety, Risk Mitigation, Oil and Gas, Industry, Review.

Health assessment of emerging persistent organic pollutants (POPs) in PM2.5 in northern and central Taiwan

Over the last two decades, Taiwan has effectively diminished atmospheric concentrations of polychlorinated dibenzo-p-dioxins/furans (PCDD/Fs) through the adept utilization of advanced technologies and the implementation of air pollution control devices. Despite this success, there exists a dearth of data regarding the levels of other PM2.5-bound organic pollutants and their associated health risks. To address this gap, our study comprehensively investigates the spatial and seasonal variations, potential sources, and health risks of PCDD/Fs, Polychlorinated biphenyls (PCBs), and Polychlorinated naphthalene (PCNs) in Northern and Central Taiwan. Sampling collections were conducted at three specific locations, including six municipal waste incinerators in Northern Taiwan, as well as a traffic and an industrial site in Central Taiwan. As a result, the highest mean values of PM2.5 (20.3–39.6 μg/m3) were observed at traffic sites, followed by industrial sites (14.4–39.3 μg/m3), and the vicinity of the municipal waste incinerator (12.4–29.4 μg/m3). Additionally, PCDD/Fs and PCBs exhibited discernible seasonal fluctuations, displaying higher concentrations in winter (7.53–11.9 and 0.09–0.12 fg I-TEQWHO/m3) and spring (7.02–13.7 and 0.11-0.16 fg I-TEQWHO/m3) compared to summer and autumn. Conversely, PCNs displayed no significant seasonal variations, with peak values observed in winter (0.05–0.10 fg I-TEQWHO/m3) and spring (0.03–0.08 fg I-TEQWHO/m3). Utilizing a Positive Matrix Factorization (PMF) model, sintering plants emerged as the predominant contributors to PCDD/Fs, constituting 77.9% of emissions. Woodchip boilers (68.3%) and municipal waste incinerators (21.0%) were identified as primary contributors to PCBs, while municipal waste incinerators (64.6%) along with a secondary copper and a copper sludge smelter (22.1%) were the principal sources of PCNs. Moreover, the study specified that individuals aged 19–70 in Northern Taiwan and those under the age of 12 years in Central Taiwan were found to have a significantly higher cancer risk, with values ranging from 9.26 x 10−9-1.12 x 10−7 and from 2.50 x 10−8-2.08 x 10−7respectively.

Interdisciplinary Team - How to Make It Work?

The philosophy of interdisciplinary teams in infertility centers is a fundamental aspect of the reproductive medicine Centre’s approach to patient care. It aims to delve into the core principles and beliefs that underpin the philosophy of interdisciplinary teams in Union Hospital’s infertility center, shedding light on the critical role they play in optimizing treatment outcomes and patient satisfaction. The art of interdisciplinary teams’ centers on the recognition that infertility is a complex and multi-faceted issue that requires a comprehensive approach involving professionals from diverse disciplines. At our Centre, the foundation of this philosophy lies in the belief that by combining the expertise and perspectives of specialists in reproductive endocrinology, embryology, andrology, genetics, psychology, and nursing, patients can receive the highest standard of holistic care. The primary goal of the interdisciplinary team is to provide individualized care that is tailored to each patient’s unique needs and circumstances. This involves a synergistic collaboration among team members to ensure a thorough evaluation of the patient’s reproductive health, addressing not only the physical aspects but also the emotional and psychological aspects of their infertility journey. By integrating a range of perspectives, the team aims to provide comprehensive, evidence-based assessments and treatment plans. Furthermore, we emphasize the importance of continuous communication and coordination among team members. Regular team meetings and case discussions allow for the exchange of ideas, insights, and knowledge, ultimately leading to more informed decision making and improved treatment outcomes. The interdisciplinary team ethos also fosters a supportive and compassionate environment, where patients feel heard, valued, and understood throughout their treatment journey. Interdisciplinary team infertility centre also embraces the utilization of cutting-edge technologies and diagnostic tools. By integrating advancements in reproductive medicine, such as genetic testing and personalized treatment protocols, the team can offer patients the most effective and innovative options available. In conclusion, the philosophy of interdisciplinary teams in infertility centers is rooted in the belief that by bringing together professionals from diverse disciplines, patients can receive tailored, comprehensive care that addresses the entirety of their infertility journey. It emphasizes collaboration, communication, and the utilization of advanced technologies, ultimately leading to enhanced treatment outcomes, patient satisfaction, and overall reproductive well-being.

Review of recent advancement in performance, and thermal energy storage studies on indirect solar dryers for agricultural products.

Efficient drying methods and post-harvest processes are crucial to reduce waste in fruits, vegetables, and agricultural products. Factors like moisture-related deterioration, climate change, mishandling, delayed shipping, improper storage, and sales delays contribute to post-harvest losses and quality degradation. Solar dryers, especially indirect-type solar dryers, provide a practical and environmentally friendly way to preserve these goods. In comparison to other types of solar dryers, indirect-type dryers have a number of advantages. This review focuses on evaluating the performance of different configurations of Indirect-type solar dryers in terms of drying time, maximum air temperature, drying efficiency for collectors, and overall dryer efficiency. The influence of various operating conditions on the thermal efficiency of Indirect-type solar dryers is also investigated. The study provides detailed information on the sensible and latent storage units and materials used in Indirect-type solar dryers, including those operating through natural or forced convection. The review also explores the utilization of advanced technologies, such as desiccant systems, recycling processes, the use of Nano fluids and nanoparticles, and thermal energy storage, to enhance the thermal performance of solar dryers. Additionally, the paper examines potential difficulties and suggestions for selecting, using, and testing thermal storage for indirect-type solar dryers. In summary, this review provides a comprehensive examination of indirect-type solar dryers, and their performance. It highlights the potential for improving drying efficiency through the integration of advanced technologies and thermal energy storage.

Dealing with abnormalities and deviations to enhance resilience in engineering Assets: A critical review from human factors and decision-making perspectives under complex operational contexts

With the growing scale of industrial demands, complexities, and uncertainties around asset engineering and operations due to advanced technology utilization, digitalization, sustainability, new operating models, etc., the sensitive role of abnormalities and deviations towards human safety, systems security, reliability and resilience of engineering assets and industrial systems are becoming even more significant for modern industrial sectors as well as societies in general. In these contexts, the abilities of operators to capture and sense-make early signals that emerge from engineering assets and systems need more attention since it enables them to enhance critical situation awareness (SA) during complex operations. This calls for proactive solutions that can integrate core data with operator knowledge using suitable logical approaches, particularly in a period where there is growing recognition that asset data can provide strong support for engineering and operational decisions in demanding contexts. Based on an ongoing research project, this paper sheds light on abnormalities and deviations; two specific attributes that should be better understood. The purpose is to explore how to capitalize them at very early sense-making stages to enhance situation awareness and thus resilience of dynamic and complex engineering assets and systems. Through a critical review of the current state of knowledge, together with industrial observations, this paper studies these core concepts in detail with due attention to the critical need of so-called priory contextual knowledge and hybrid contextual decision solutions. This R&D work explores proactive possibilities to mitigate inherent potentials for unwanted events and incidents to enhance resilience in the era of digital twins and cyber-physical systems, where complex technologies and operational demands generate new conditions for asset performance.

A Comprehensive Review on Protected Cultivation of Horticultural Crops: Present Status and Future Prospects

Protected cultivation of horticultural crops has emerged as a crucial technique in modern agriculture, offering numerous benefits such as increased yield, enhanced quality, and protection against adverse climatic conditions and pests. This comprehensive review aims to present the current status of protected cultivation practices and explore its future prospects in horticulture. The review begins by discussing the various types of protected cultivation structures, including greenhouses, high tunnels, and shade houses, along with their advantages and limitations. It then highlights the significance of protected cultivation in addressing global food security challenges by ensuring year-round crop production and reducing dependence on seasonal variations. The review further explores the impact of protected cultivation techniques on the growth and development of horticultural crops, including improved crop morphogenesis, precipitation management, and the optimization of environmental factors such as temperature, humidity, and carbon dioxide levels. Furthermore, the utilization of advanced technologies like hydroponics, aeroponics, and vertical farming within protected cultivation systems is examined, with an emphasis on their potential for maximizing crop productivity while minimizing resource consumption. Moreover, the paper delves into the challenges and constraints faced in implementing protected cultivation, including cost considerations, energy requirements, and the use of synthetic inputs. It discusses sustainable and environmentally friendly approaches, such as utilizing renewable energy sources and adopting organic farming practices, to mitigate these challenges and promote ecological balance. Lastly, the review discusses some future prospects and trends in protected cultivation, including the integration of precision agriculture techniques, the use of artificial intelligence, and the adoption of smart farming technologies. These advancements have the potential to further optimize resource utilization, improve automation, and enhance crop monitoring and management, ultimately leading to greater yield and quality improvements in horticultural crop production.

A Smart System for Future Generation based on the Internet of Things Employing Machine Learning, Deep Learning, and Artificial Intelligence : Comprehensive Survey

The Internet of Things (IoT) is a networked system including interconnected things, devices, and networks that utilize the internet for communication and data exchange. The entity engages in interactions with both its internal and external surroundings. The IoT is capable of seeing the surrounding environment and responding in a way that is appropriate and adaptive. The utilization of advanced technology in this context enhances the environment and thus enhances the overall well-being of humanity. The IoT facilitates inter-device communication, whether through physical or virtual means. The IoT facilitates the enhancement of environmental intelligence, enabling seamless connectivity across many devices at any given moment. The concepts centred on the IoT, such as augmented reality, high-resolution video streaming, autonomous vehicles, intelligent environments, and electronic healthcare, have become pervasive in contemporary society. These applications have requirements for faster data rates, larger bandwidths, enhanced capacities, decreased latencies, and increased throughputs. IoT and Machine learning (ML) are among the fields of research that have shown significant potential for advancement. ML and IoT are used to build intelligent systems. Those networks will modify the ways in which worldwide entities exchange information. This article gives a comprehensive survey of the upcoming 5G-IoT situation, as well as a study of IoT smart system applications and usages. In addition to covering the latest developments in ML and deep learning (DL) and their impact on 5G-IoT, this article describes a comprehensive study of these important enabling technologies and the developing use cases of 5G-IoT.