Complexity Leadership Theory (CLT) is a new and revolutionary concept in addressing healthcare crises worldwide. Its relevance and applications were tested during the COVID-19 pandemic. However, no definite and encompassing research was done to apply it to nursing leadership. Thus, this study examines CLT integration into nursing leadership to address the challenges posed by the pandemic. Through a systematic review of literature from PubMed, Scopus, and Web of Science, relevant studies were analyzed to determine how complexity leadership theory was defined, conceptualized, and operationalized within nursing leadership context. The findings reveal that traditional hierarchical leadership models are insufficient in a dynamic crisis environment like the pandemic. Instead, CLT’s framework which encompasses adaptive, administrative, and enabling leadership facilitates innovation, resilience, and effective interprofessional collaboration. Nurse leaders employing these strategies are better positioned to manage resources limitation, foster shared decision-making, and implement technological advancements in rapidly changing healthcare settings. Overall, this study underscores the potential of complexity leadership theory to transform nursing leadership practices by promoting continuous learning and empowerment, thereby enhancing crisis response and preparedness for future pandemics.

Smartphone use among adolescents has surged globally, reshaping communication and learning patterns, especially in developing countries. However, the implications of such digital habits on students in rural or under-resourced areas remain underexplored. This study aims to examine the patterns of smartphone usage and its effects on learning among high school students in Tarutung, a developing region of North Sumatra, Indonesia. Utilizing a quantitative descriptive approach, data were collected from 358 students using structured questionnaires. The results show that 96.05% of students own personal smartphones regardless of socioeconomic background, with an average daily usage of 4 hours and 45 minutes. While 91.81% believe smartphones support their learning, 25.99% report declining academic performance. Alarmingly, 20.62% of students admitted involvement in cyberbullying activities, highlighting a critical digital risk impacting the school environment and student well-being. The study concludes that although smartphones offer educational benefits, their misuse can lead to negative academic, social, and psychological outcomes. This study recommends digital literacy curricula and structured cooperation between parents and educators to prevent risks while optimizing educational opportunities in smartphone use.

The pharmaceutical industry is undergoing a profound transformation driven by advancements in Information Technology (IT), with Enterprise Resource Planning (ERP) systems playing a pivotal role in reshaping operations. These systems offer integrated solutions that streamline key business processes, such as production, inventory management, supply chain optimization, regulatory compliance, and data integration, contributing significantly to operational efficiency and organizational agility. This paper explores the evolution and impact of ERP systems within the pharmaceutical sector, highlighting their contributions to overcoming the industry’s inherent challenges, including complex regulatory requirements, the need for accurate and real-time data, and the demand for supply chain resilience. The integration of cloud-based ERP solutions, the incorporation of emerging technologies like Artificial Intelligence (AI), Machine Learning (ML), and the Internet of Things (IoT), and enhanced data analytics capabilities have revolutionized pharmaceutical IT. These advancements not only reduce operational costs, improve forecasting accuracy, and enhance collaboration but also ensure compliance with stringent global regulations, such as Good Manufacturing Practices (GMP) and FDA guidelines. Moreover, ERP systems have been instrumental in managing the pharmaceutical supply chain, ensuring product traceability, and improving inventory control and order fulfillment processes. This manuscript examines how ERP systems enable pharmaceutical companies to maintain high standards of product quality, improve decision-making, and ensure the safety and efficacy of drugs through robust tracking and auditing mechanisms. A case study of a pharmaceutical company that implemented an ERP system demonstrates the tangible benefits, including increased operational efficiency, improved compliance rates, and enhanced customer satisfaction. However, despite the clear advantages, challenges such as customization complexities, data integration issues, and resistance to change remain. As the pharmaceutical industry continues to evolve, ERP systems will remain a cornerstone of digital transformation, facilitating smarter decision-making, better resource management, and enhanced collaboration across global operations. This paper also identifies future trends, including the potential of AI and blockchain technologies in further strengthening ERP systems and transforming the pharmaceutical landscape.

Preference learning plays a crucial role in AI applications, particularly in recommender systems and personalized services. Traditional pairwise comparisons, while foundational, present scalability challenges in large-scale systems. This study explores alternative elicitation methods such as ranking, numerical ratings, and natural language feedback, alongside a novel hybrid framework that dynamically integrates these approaches. The proposed methods demonstrate improved efficiency, reduced cognitive load, and enhanced accuracy. Results from simulated user studies reveal that hybrid approaches outperform traditional methods, achieving a 40% reduction in user effort while maintaining high predictive accuracy. These findings open pathways for deploying user-centric, scalable preference learning systems in dynamic environments.

Background: The increasing frequency and intensity of extreme heat exposure is a significant consequence of climate change, with broad public health implications. While many health risks associated with heat exposure are well-documented, less research has focused on its impact on children’s cognitive function. Objectives: This study examines the relationship between extreme heat exposure and various domains of cognitive function in children. Methods: Data were drawn from the Adolescent Brain Cognitive Development (ABCD) study. Key variables included race/ethnicity, age, gender, family socioeconomic status (SES), heatwave exposure, and multiple cognitive domains: total composite score, fluid composite score, crystallized intelligence, reading ability, picture vocabulary, pattern recognition, card sorting, and list recall. Structural equation modeling (SEM) was used for data analysis. Results: A total of 11,878 children were included in the analysis. Findings revealed significant associations between extreme heat exposure and lower cognitive performance across multiple domains. The strongest adjusted effects were observed in pattern recognition (B = −0.064, p < 0.001) and reading ability (B = −0.050, p < 0.001), both within the learning domain, as well as total composite cognitive ability (B = −0.067, p < 0.001), fluid composite (B = −0.053, p < 0.001), and crystallized intelligence (B = −0.061, p < 0.001), all within general cognitive ability. Weaker but still significant associations were found for list recall (B = −0.025, p = 0.006) and card sorting (B = −0.043, p < 0.001) within the memory domain, as well as picture vocabulary (B = −0.025, p = 0.008) within general cognitive ability. These associations remained significant after controlling for demographic factors, race/ethnicity, family SES, and neighborhood SES. Conclusions: This study underscores the impact of climate change on cognitive function disparities, particularly in learning and general cognitive ability among children exposed to extreme heat. Findings highlight the need for targeted interventions to mitigate the cognitive risks associated with heat exposure in vulnerable populations.

Digital therapeutics (DTx) are emerging as a pivotal tool in promoting longevity by addressing non-communicable diseases (NCDs) such as diabetes, cardiovascular diseases, and mental health disorders. These software-driven interventions offer personalized, evidence-based treatments that can be accessed via digital devices, making healthcare more accessible and scalable. One of the key advancements in DTx is the integration of artificial intelligence (AI) and machine learning (ML) to tailor interventions based on individual health data. This personalization enhances the effectiveness of treatments and supports preventive care by identifying risk factors early. The need for digital therapeutics is underscored by the rising prevalence of NCDs, which are responsible for a significant portion of global mortality and healthcare costs. Traditional healthcare systems often struggle to provide timely and personalized care, especially in low-resource settings. DTx can bridge this gap by offering cost-effective solutions that are easily scalable. Moreover, digital therapeutics can address health inequities by providing low-cost interventions to underserved populations, thereby reducing the burden of NCDs and improving overall health outcomes. As technology continues to evolve, the potential for DTx to enhance longevity and quality of life becomes increasingly promising. Recent advancements in longevity medicine and technology have focused on extending both lifespan and healthspan, ensuring that people not only live longer but also maintain good health throughout their extended years. This review article highlights these advancements that are contributing to this compelling subject of Longevity.

Recent advancements in the screening, diagnosis, and management of obstructive sleep apnea (OSA) have significantly improved patient outcomes. For screening, the use of home sleep apnea testing (HSAT) has become more prevalent, offering a convenient and cost-effective alternative to traditional in-lab polysomnography. HSAT devices have shown good specificity and sensitivity, particularly in patients with a high pre-test probability of OSA. In terms of diagnosis, advancements in wearable technology and mobile health applications have enabled continuous monitoring of sleep patterns and respiratory parameters. These tools provide valuable data that can be used to identify OSA more accurately and promptly. Additionally, machine learning algorithms are being integrated into diagnostic processes to enhance the accuracy of OSA detection by analyzing large datasets and identifying patterns indicative of the condition. Management of OSA has also seen significant progress. Continuous positive airway pressure (CPAP) therapy remains the gold standard, but new developments include auto-adjusting CPAP devices that optimize pressure settings based on real-time feedback. Mandibular advancement devices and hypoglossal nerve stimulation are emerging as effective alternatives for patients who are CPAP-intolerant. Furthermore, lifestyle interventions such as weight management, positional therapy, and exercise have been shown to complement medical treatments, leading to better overall outcomes. This review article highlights these advancements that collectively contribute to improved patient adherence, reduced symptoms, and enhanced quality of life for individuals with OSA.

Sentiment analysis, a vital aspect of natural language processing, involves the application of machine learning models to discern the emotional tone conveyed in textual data. The use case for this type of problem is where businesses can make informed decisions based on customer feedback, identify the sentiments of their employees, and make decisions on hiring or retention, or for that matter, classify a text based on its topic like whether it is about a particular subject like physics or chemistry as is useful in search engines. The model leverages a sequential architecture, transforms words into dense vectors using an Embedding layer, and captures intricate sequential patterns with two Long Short-Term Memory (LSTM) layers. This model aims to effectively classify sentiments in text data using a 50-dimensional embedding dimension and 20 % dropout layers. The use of rectified linear unit (ReLU) activations enhances non-linearity, while the SoftMax activation in the output layer aligns with the multi-class nature of sentiment analysis. Both training and test accuracy were well over 80%.

The synthesis and optimization of Active Pharmaceutical Ingredients (APIs) is fundamental to pharmaceutical drug development, directly influencing drug efficacy, safety, and cost-effectiveness. Over recent years, significant advancements in synthetic methodologies and manufacturing technologies have transformed API production. This manuscript provides an overview of the latest innovations in API synthesis, focusing on key techniques such as green chemistry, continuous flow chemistry, biocatalysis, and automation. Green chemistry principles, including solvent substitution and catalytic reactions, have enhanced sustainability by reducing waste and energy consumption. Continuous flow chemistry offers improved reaction control, scalability, and safety, while biocatalysis provides an eco-friendly alternative for synthesizing complex and chiral APIs. Additionally, the integration of automation and advanced process control using machine learning and real-time monitoring has optimized production efficiency and consistency. The manuscript also discusses the challenges associated with regulatory compliance and quality assurance, highlighting the role of advanced analytical techniques such as HPLC, NMR, and mass spectrometry in ensuring API purity. Looking ahead, personalized medicine and smart manufacturing technologies, including blockchain for traceability, are expected to drive further innovation in API production. This review concludes by emphasizing the need for continued advancements in sustainability, efficiency, and scalability to meet the evolving demands of the pharmaceutical industry, ultimately enabling the development of safer, more effective, and environmentally responsible medicines.

Background: Nowadays, integrating online and remote instruction into education presents unique challenges, particularly in nursing education, where combining technology with the core value of caring is essential. Nurse educators must address students’ holistic needs, as their circumstances can influence overall learning development. Objectives: This study aims to ascertain the technological caring competence of nurse educators Methodology: A descriptive design using an adapted tool on technological caring competence for nursing education (TCCNE) Results: A total of 243 Filipino nursing educators participated in this study. Overall, the participants’ perceived level of TCCNE was quite high. This sample representative of nursing educators holds strong perceptions of their TCCNE with the values of being considerate, supportive, and respectful to their students as the highest rated competency. This result implies that the educators keep the essence of what nursing is about as they model the importance of caring even in an academic setting considering that these teachers are using remote instruction. Conclusion: The study opens up a discussion on assessing the TCCNE of nursing education in an academic setting. Thus, its advocacy could start from implementing the research training plan. Further, the nurse educators should strengthen in balancing care with appropriate technology is viewed as a necessary step to maintain the essence of nursing, which is on caring that can be modeled out not just in clinical practice alone, but in nursing education.

Digital therapeutics (DTx) play a transformative role in diabetes management by leveraging technology to provide personalized, data-driven medical interventions. These tools enhance self-management by offering continuous monitoring and real-time feedback on glucose levels, diet, and physical activity. This personalized approach helps patients adhere to treatment plans and make informed lifestyle changes, leading to improved clinical outcomes such as reduced HbA1c levels and better overall diabetes control. The importance of DTx lies in their ability to make diabetes care more accessible and convenient. Mobile apps and telemedicine platforms enable patients to receive support and guidance from anywhere, reducing the need for frequent in-person visits. Additionally, DTx often include behavioral support features like reminders, educational content, and motivational tools, which are crucial for maintaining healthy habits and managing stress. Currently, the dynamics of DTx in diabetes are rapidly evolving, with increasing integration of artificial intelligence and machine learning to further personalize and optimize care. As the adoption of these technologies grows, they hold the potential to significantly improve patient outcomes and revolutionize diabetes management on a global scale. This article will focus on the benefits of novel digital therapeutics for prevention and management of type II diabetes that are currently available in the market.

This study aimed to examine students' perceptions of the usefulness of formative feedback in mathematics lessons at Sagnerigu Municipality in the Northern Region of Ghana. Quantitatively, this study employed a descriptive non-experimental survey design. The population comprises all pupils of public Junior High Schools in the Sagnerigu Municipality. A purposive sampling technique was used to select the Junior High School students for the study. The criterion purposive sampling technique was used to select 518 final-year students for the 2022 Basic education certificate examination from 14 schools in Sagnerigu Municipality. The chosen schools comprised 291 students from high-performing schools and 227 students from low-performing schools. The primary tool for the study was the Student Feedback Perception Questionnaire (SFPQ), administered to the student participants. The Descriptive statistical tool was used to analyse the mean and standard deviation of the data. The study's examination of students' perceptions of feedback revealed a moderate level of perceived usefulness. This emphasises the importance of feedback as a tool for student growth and development. However, the findings also suggest the need for further support and guidance to optimise the impact of feedback on student learning outcomes. The findings also suggest that students value feedback that helps them improve their skills and strategies in Mathematics and keeps them on track to succeed. It also highlights the importance of providing different types of feedback to cater to the diverse learning needs of students. Educators can create a conducive environment that promotes student engagement and achievement by equipping teachers with effective feedback techniques, emphasising constructive comments and avoiding grades.

Making students efficiently and flexibly understand and master the knowledge of biological/biomedical sciences by prompting active learning and critical thinking and making biomedical science courses form an integrated system are critical for more successful and effective student education, future and career. However, the current biological/biomedical education system worldwide tends to produce graduates best suited for postdoctoral training, and academic careers, in highly specialized areas. Many institutions worldwide currently favor densely packed curricula with fast-paced instruction focused on detailed subject matter, with little room left for skill training in both active learning and critical thinking, creative problem solving, professional skills, putting what was learned into a larger context that creates meaning, and teaching students with different learning styles, despite their significance. In this article, we will discuss the current defects in biological/biomedical science education and the need to reform biomedical science teaching and education. We will also describe some suggestions and approaches to improve biological/biomedical science learning and education, including the establishment of a more effective learning/teaching repository.

Whereas Physical Education and Sports (PES) have been reported to be crucial to learners, such claims have often been made without empirical support. Given this, this paper reports on a systematic review of the relevance of PES to learners. The review involved 20 empirical studies. Most studies were conducted in the United States, using quantitative research design and focusing on preschool to high school. The studies also demonstrated that PES improves academic performance, motivation, attention, and behaviour. It is recommended that PES be taken seriously at all levels of academics and integrated into the curriculum. While the studies reviewed did not involve higher educational institutions, the benefits can be extended to higher education institutions such as colleges of education and universities.

Access to and the availability of digital infrastructure remains the most significant issue influencing teachers' use of multimedia technology in teaching and learning processes. Qualitatively, the study focused on a case study research design. The study population consisted of five (5) Social Studies teachers at Presbyterian University College of Education Demonstration Junior High School in the Akuapem North Municipality of the Eastern Region of Ghana. A purposive sampling technique was used to select all the Social Studies teachers for the study. The main instruments for data collection were an interview guide and observation protocols. The data was analysed using the interpretative method based on the themes arrived at during the data collection. The themes were related to the research question and interpreted on the number of issues raised by participants. The study indicated that more resources are needed to use multimedia resources effectively in social studies instruction. Limited access to computers and the internet, unreliable power supply, time constraints for teachers, and a lack of necessary competencies all contribute to this challenge. Although multimedia has become crucial to education, teachers often need more training to utilise these resources fully. The government must collaborate with other organisations to procure ICT resources to address these challenges rather than shouldering the sole responsibility for financing education. Establishing a school-based ICT policy framework to guide technology implementation in teaching and learning is essential.

This study aimed to examine the school facility quality on children's social achievement in Kindergarten in the Yendi Municipality of the Northern Region. The study adopted a mixed-method approach. The study population comprised twenty-five (25) teachers and five (5) head teachers from all kindergarten schools in five circuits in the Yendi municipality. A purposive sampling technique was used to select the study participants. The main instruments for data collection were structured questionnaires and observation checklists. The data were statistically analysed using simple frequencies and percentiles presented on a simple frequency table. The study reveals that inadequate access to essential resources, such as textbooks, teaching and learning materials, and proper classroom environments, adversely affects teacher effectiveness and student engagement. The findings indicate that while some facilities, such as restrooms and playgrounds, are available, many need to be updated or more to meet the needs of the children. To enhance the educational experience for young learners, stakeholders, including the government, educational authorities, and the community, must collaborate to improve the infrastructure and resources available in these schools.

The teaching-learning relationship of natural medicine is key to avoid health problems in the population; adulterations and falsifications of frequently used plants are evident. The aim of this study is to raise public awareness and to urge institutions to incorporate contents in the student's curriculum. The curricula of different educational levels are analyzed to check the level of knowledge on the use of medicinal plants, as well as some regulations on quality controls. Of the wide range of species that are consumed by the population, some are detected in which adulterations and falsifications occur, although there is no danger in some cases, such as chamomiles, if a falsification occurs when consuming the whole plant instead of the flowering tops, which is where the properties reside. In other cases, adulteration occurs, generally unintentional, but very dangerous to health, such as horsetail. For a more effective quality control, we need public awareness and highly specialized personnel, with the capacity to inspect crops, markets and companies.

The study examined teachers' perception of inclusive education in the three educational circuits in Tamale Metropolis in the Northern Region of Ghana. Research paradigms underpinning the study are Positivism, Interpretivism, and Pragmatism. The study adopted a cross-sectional survey research design. The study population comprised 81 teachers from the Gumbihini Educational Circuit, 100 from the Hospital Educational Circuit, and 72 from the Salaga Road Educational Circuit. The study population was from a pool of two hundred and fifty-three (253) teachers. The census method was used as a sampling technique for three (3) educational circuits and two hundred and fifty-three (253) teachers. The main instrument for data collection was a questionnaire. The data were analysed with descriptive statistics to determine the frequencies, percentages, mean and standard deviation scores for the response from the questionnaire and hypothesis. On the level of knowledge teachers in Tamale Metropolis have about inclusive education, Even though the study revealed that teachers know how to meet the needs of learners with learning disabilities and use varied learning activities to engage a diverse range of learners, knowledge in meeting the needs of learners who are gifted most teachers do not know to meet the needs of learners with speech and language, or communication disorder. Again, the findings revealed that teachers need to learn about meeting the needs of learners who are seen as having behavioural difficulties. Teachers were also found to not know about meeting the needs of learners who are blind or have low vision. Furthermore, the study revealed that teachers do not know how to assess, test, or evaluate the learning of children with disabilities. In the statistical analysis, special educators were found to possess a higher level of knowledge among primary school teachers who were studied than their general/regular educators' counterparts, even though the difference was not statistically significant. On the level of knowledge teachers in Tamale Metropolis have about inclusive education, regular in-service education and refresher courses will help improve and reorient teachers' knowledge towards performing their duties in inclusive education. The study, therefore, recommends that the Tamale Metropolis Directorate of Ghana Education Service collaborate with bare school heads in assisting teachers through the implementation of professional development/training programmes to employ adaptive instructional strategies to help children with disabilities.

Over the past decades, quality assurance has received significant prominence in higher education management across the world. While the concept is pertinent to all areas of higher education management, nowhere is it considered more crucial than in curriculum development, given the importance of curriculum in supporting students to achieve the needed learning outcomes. In this study, we explored how quality is ensured in curriculum development in Ghana, using a STEM university, University of Mines and Technology (UMaT), as a case study. We specifically examined the procedure for curriculum development in the university, how quality assurance is ensured during the process, and the challenges associated with the process. We explore the case using qualitative techniques, particularly in-depth interviews. Fourteen (14) participants were purposively sampled from four (4) functional levels responsible for curriculum development in the university. The study found that the quality of curriculum in UMaT is largely determined by both national and institutional quality assurance frameworks. The major challenges that hamper quality assurance are the need to design curriculum at a shorter notice to fulfil accreditation requirement, lack of experts to support curriculum development, and less consultation with other relevant stakeholders as required by the regulator, Ghana Tertiary Education Commission (GTEC).

PLCs, or programmable logic controllers, are essential parts of contemporary industrial automation systems and are responsible for managing and keeping an eye on a variety of operations. PLC reliability is critical to maintaining industrial systems' continuous and secure operation. A wide range of reliability strategies were used to improve the reliability of Programmable Logic Controllers, and this article methodically looks at them all. The evaluation classified PLC reliability techniques into Root Cause Analysis (RCA), Reliability Centered Maintenance (RCM), Hazard analysis (HA), Reliability block diagram (RBD), Fault tree analysis (FTA), Physics of failure (PoF) and FMEA/FMECA, after thoroughly reviewing the body of literature. The proportion of reviewed papers using either RCA, RCM, FMEA/FMECA, FTA, RBD, RCM, PoF, or Hazard analysis to increase the reliability of PLCs showed that RCA, which makes up 20% of the publications reviewed, has been used the most to increase the reliability of the PLC, followed by HA, RCM, RBD, FTA, and PoF, which account for 17%, 16%, 16%,13%, 10%, and 8% of the articles reviewed, respectively. The paper discusses new developments and trends in PLC reliability, such as the application of machine learning (ML) and artificial intelligence (AI) to fault detection and predictive maintenance.

This study investigates the relationship between teacher-trainees' academic self-concept and performance in Colleges of Education in Ghana. Utilizing a mixed-methods approach, data were collected from teacher-trainees in Ada and Accra Colleges of Education through surveys and interviews. The study hypothesised that there is no significant relationship between academic self-concept and academic performance among teacher-trainees. Results revealed a statistically significant positive relationship between academic self-concept and performance, indicating that teacher-trainees with higher academic self-concepts tend to perform better academically. Furthermore, gender differences in academic self-concept and performance were explored, with findings suggesting no significant gender disparities in either domain. Institutional factors, such as school climate and resources, were also found to influence academic performance. Recommendations include promoting positive academic self-concept, implementing gender-responsive pedagogy, and creating supportive learning environments in Colleges of Education. By addressing these factors, teacher education programs can better prepare future educators for success in the classroom and contribute to the improvement of educational quality in Ghana.

The purpose of this study was to examine the challenges affecting the teaching and learning of Social Studies in the Colleges of Education in the Ashanti Region. Qualitatively, the study adopted a case study research design. The population of the study comprised fifteen (15) Social Studies teachers in the Ashanti region of Ghana. A purposive sampling technique was used to select the colleges and Social Studies teachers. The main instrument for data collection was an unstructured open-ended interview guide. Four criteria proposed by Lincoln and Guba in 1985 used to measure the trustworthiness of data collected are credibility, transferability, dependability and confirmability. Data obtained from the study were subjected to thematic analysis using themes developed from the data collected based on the research question. The findings of this study indicate that adequate textbooks, availability of teaching and learning materials such as projectors, the ability of tutors to engage in research, and the ability to vary teaching techniques are some factors that affect the teaching and learning of Social Studies in Colleges of Education. Students can remember a greater percentage of what was taught when techniques used by teachers are in their interest. It is recommended that T-TEL and Universities to which Colleges of Education are affiliated should continue to provide seminars and sessions to tutors in areas of material, resource development and research. This will continue to ensure that tutors are competent in their field of specialization. It is also recommended that the government should conduct a nationwide programme evaluation exercise on Social Studies to identify the loopholes needed to ensure the effectiveness of the subject.

Consumer behavior is evolving, demanding a wide range of products with fast shipping and reliable service. The automotive aftermarket industry, worth billions, requires efficient distribution systems to stay competitive. Manufacturers strive to balance growth with product and service excellence. Distributors and retailers face the challenge of maintaining competitive pricing while keeping inventory levels low. An adequate supply chain and accurate product data are crucial for product availability and reducing stock issues. This ultimately increases profits and customer satisfaction.

Failure prediction can be achieved through prognostics, which provides timely warnings before failure. Failure prediction is crucial in an effective prognostic system, allowing preventive maintenance actions to avoid downtime. The prognostics problem involves estimating the remaining useful life (RUL) of a system or component at any given time. The RUL is defined as the time from the current time to the time of failure. The goal is to make accurate predictions close to the failure time to provide early warnings. J S Grewal and J. Grewal provide a comprehensive definition of RUL in their paper "The Kalman Filter approach to RUL estimation." A process is a quadruple (XU f P), where X is the state space, U is the control space, P is the set of possible paths, and f represents the transition between states. The process involves applying control values to change the system's state over time.

Qualitatively, the study focused constructivist research paradigm. A case study research design was adopted for the study. The study population comprised all six (6) Social Studies teachers, the headmaster and the School Improvement Support Officer (SISO). Purposive and convenient sampling techniques were used to select the participants for the study. The main instrument for data collection was a semi-structured interview guide and observation protocol. The data were analysed using the interpretative technique based on the themes arrived at during the data collection from the semi-structured interview. The study revealed that multimedia usage is a quality enhancer in educational settings for teaching Social Studies concepts. It also indicated that teachers perceived their incompetence when using technology as they feel less in control of their classes and are unlikely to explore new possibilities that utilise technology when planning their lessons. They learn the theoretical aspect and practice and perceive the teacher’s role in the classroom changes from an instructor to a facilitator, which changes the teaching method to student-centred (constructive methodology) which aids content absorption by the learner through learning by doing. The study also indicated that teachers perceived their incompetence when using technology as they felt less in control of their classes and were unlikely to explore new possibilities that utilised technology when planning their lessons. It is recommended that the Ministry of Education and National Teaching Council collaborate with Ghana Education Service to set up Social Studies training centres in all the district capitals equipped with competent staff to periodically organise in-service training for teachers to build their capacity on how to pedagogically incorporate multimedia resources in their instructions to improve students learning outcomes.

Challenges are part and parcel of human activities. Quantitatively, a relational survey model research was adopted for the study. The population for this study comprised all Junior High School (JHS) Religious and Moral Education (RME) students in Bokro M/A JHS and the Eziom Methodist JHS in the Nzema-East Municipality of the Western Region. Purposive and random sampling techniques were used to select the schools and respondents for the study. The main instruments for data collection were a test and a questionnaire. The data from both the control and experimental groups on the challenges learners face in using the flipped classroom model in RME were analysed using means and standard deviations. The study indicates the challenges learners face by employing the flipped classroom model to learn include lack of data to access the internet, frequent light outs, lack of technological devices to access contents, frequent power outages, and difficulty in comprehending some of the materials given to them. Given that learners face frequent power outages during periods that they watch videos assigned to them by their teachers, it is recommended that the government and the Electricity Company of Ghana ensure that there is a constant flow of power to allow learners trying to use the flipped classroom to learn are without any hindrance. It is also recommended that the Ghana education service should organise continuing professional development for RME teachers on effective uses of technology in teaching and learning subject concepts. The government should also supply the basic schools with all the needed technological devices to promote effective teaching, learning and assessment.

The stock market is very volatile and hard to predict accurately due to the uncertainties affecting stock prices. However, investors and stock traders can only benefit from such models by making informed decisions about buying, holding, or investing in stocks. Also, financial institutions can use such models to manage risk and optimize their customers' investment portfolios. In this paper, we use the Long Short-Term Memory (LSTM-RNN) Recurrent Neural Networks (RNN) to predict the daily closing price of the Amazon Inc. stock (ticker symbol: AMZN). We study the influence of various hyperparameters in the model to see what factors the predictive power of the model. The root mean squared error (RMSE) on the training was 2.51 with a mean absolute percentage error (MAPE) of 1.84%.

The extensive globalization of services and rapid technological advancements driven by IT have heightened the competitiveness of organizations in introducing innovative products and services. Among the noteworthy innovations is enterprise resource planning (ERP). An integral field in computer science, known as artificial intelligence (AI), is undergoing a transformative integration into various industries. Grasping the concept of artificial intelligence and its application in diverse business applications is crucial, given its broad and intricate nature. The primary focus of this paper is to delve into the realm of artificial intelligence and its utilization within enterprise resource planning. The study not only explores artificial intelligence but also delves into related concepts such as machine learning, deep learning, and neural networks in greater detail. Drawing upon existing literature, this research examines various books and online resources discussing the intersection of artificial intelligence and ERP. The findings reveal that the impact of AI is evident as businesses attain heightened levels of analytical efficiency across different ERP domains, thanks to remarkable advancements in AI, machine learning, and deep learning. Artificial intelligence is extensively employed in numerous ERP areas, with a particular emphasis on customer support, predictive analysis, operational planning, and sales projections.

This study was conducted to assess the effect of visual aids in teaching science lessons in the Junior High Schools (JHS) in Ghana. The quantitative research method was chosen for this study. A Purposive sampling technique was used to select 245 JHS 2 students and seven (7) science teachers (1 from each selected school) from seven (7) selected JHS in Enchi Municipal under Aowin District in the Western North Region of Ghana. The main instrument for data collection for this study was a questionnaire and a test. The data analysis was done using the SPSS statistical package, where a questionnaire was analysed to determine the frequency and percentages of responses from selected science teachers and test analysis was done using a Pair Sample t-test to determine any significant differences between pre-test and post-test of the respondents. This study found that the use of visual aids in teaching science encouraged learners to develop interest and participate actively in the lessons which resulted in improved student performances and developed interest during the lesson. The study recommended that Ghana Education Service (GES) and headmasters at the JHS should endeavour to provide enough visual aids for their schools to enable the teaching and learning of science better and to be learner-centred, practical learning and for learners to develop interest and positive attitude towards learning science to improve performances and appreciate the need to learn science to the highest level for self-development and the development of the country.

The purpose of this study was to examine the challenges and management supports in teaching and learning of Social Studies in Public Senior High Schools in Akuapem South and North Districts in the Eastern Region of Ghana. Quantitatively, the study adopted a cross-sectional survey using a descriptive correlational research design to assess Challenges and Management Supports Teaching and Learning of Social Studies in Public Senior High Schools of Ghana. The population of the study comprised social studies teachers and students in the Akuapem South and Akuapem North Districts of the Eastern Region of Ghana. Purpose and probabilistic sampling procedures were used to select senior high schools, teachers and students for the study. The main instrument for data collection was a structured questionnaire (SQ). Data was collected from 261 final year students from five Senior High Schools and 33 Social Studies teachers using structured questionnaire. Data was analysed using SPSS Version 24. Descriptive statistics (mean, SD) was conducted to summarise the data and t-test was applied to establish if there is a statistically significant difference in the perceptions of students and teachers on the school-based drivers and effective teaching and learning of social studies. The results of the study revealed that the key school-based drivers influencing the teaching and learning of social studies in the two districts relate to classroom environment; lack of management supports in terms of resource provision for practical lessons, lack of supportive physical environment such as large class size (t = 32.881, mean difference = 6.2422, p<0.05)- thus preventing teachers from engaging students in practical work and individualising their assignments (t-statistics=37.563, mean difference= 3.0920, p<0.05); and teachers inability to use diagnostics assessment tools to unraveled students difficulties and support them. The conclusion is that, the key drivers influencing effective teaching and learning of social studies are school-based and policy driven. The study therefore recommends that the government should support the teaching of Social Studies through provision of adequate resources to help teachers improve their output. Again, the student-teacher ratio should be reduced.

Networking has become more common in recent years because it provides structural support and consistent avenues for contact among experts. The purpose of the study was to examine tutors’ and students’ perceptions and sustenance of networking in Food and Nutrition education in the Colleges of Education of Ghana. Quantitatively the study employed a cross-sectional survey research design. The population of the study comprised tutors and students in the Colleges of Education in Ghana offering Food and Nutrition. Purposive, stratified and simple random sampling techniques were used to select colleges of education, 16 tutors and 256 students for the study. The main instrument used for data collection was a questionnaire. The data collected were processed and analysed with the aid of Statistical Package for Social Sciences (SPSS) version 23.0. All statistical analyses were tested at a 5% level of significance. Levene's Test for Equality of Variances was computed to determine the significant difference in the perception of networking in Food and Nutrition education between tutors and students. It can be concluded that both tutors and students are in favour of networking in Food and Nutrition education. The tutors and students believed networking education can foster collaboration, help implement new ideas to improve the quality of teaching, create an environment conducive to teaching and learning; and help students in sharing vital information. Since there is a positive perception on the use of networking, it is recommended that the tutors should foster collaboration, and create a conducive environment to enhance the positive perception and smooth implementation of networking in Food and Nutrition education at Colleges of Education in Ghana. The study indicated that in order to sustain networking education, teachers need to be more cognizant of their interactions and the influence they have on students. It is therefore recommended that teachers maintain contact with students, and ensure a spirit of unity in diversity among the students.

The emphasis on adapting learner-centric education and inclusive pedagogies to promote learning effectiveness is part of the paradigm shift in teaching. By maximizing variability, differentiated education methodologies ensure individualized instruction and equal academic success for all students. Based on this justification, this study sought to investigate Ghanaian pre-tertiary teachers' adaption of differentiated instruction strategies during the teaching and learning processes. Pre-tertiary teachers within the Kwahu Ridge of the Eastern Region of Ghana were sampled to respond to the close-ended questionnaire. A multi-pronged approach was employed in the data analysis. Respondents possessed knowledge of the differentiated instruction strategies, however, there were some disparities between first and second-cycle teachers. Significant factors influenced the range of diversity in the classroom and knowledge and experience, with the latter showing an unexpected negative influence, possibly due to experienced teachers' preference for traditional methods of teaching. Notwithstanding, a perfect alignment of instructional techniques, activities and assessment practices to accommodate the heterogeneity of students stimulate active participation, interest and readiness to learn. It is recommended that educational stakeholders should recognize the dynamic nature of the learning environment and better provide pre-tertiary teachers with the tools and support needed to employ differentiated instruction techniques successfully to ensure inclusive, individualized and intensive instruction in the classroom.

The purpose of this study was to use an activity-based method to enhance the teaching and learning of Redox reactions among senior high school learners at Christ the King at Obuasi in the Ashanti Region, Ghana. Quantitatively, the study employed an action research design. The population of the study comprised all final-year elective chemistry students of Christ the King Senior High School (CKC) in the Ashanti region of Ghana. A purposive sampling technique was used to select thirty-five (35). The instruments used in the study were tested. Percentages of students who responded correctly to the pre-test items were compared to percentages of students who responded correctly to the post-test items. The pre-test and post-test mean scores were compared to see if there was any difference in their mean scores. The use of an activity-based teaching method in teaching chemistry appears to be used effectively in imparting the content knowledge of chemistry to students to become successful in their learning. Regarding the benefits of the activity-based method. The use of activity-based teaching methods in redox reaction motivates students to be self-learners and improves performance. It is also evident from the findings of this study that the use of the activity-based method of teaching could enhance student performance in a redox reaction. It is recommended that activity-based methods of teaching should be encouraged to be used by chemistry teachers in the Senior High Schools of Ghana in teaching redox reaction concepts to enhance students’ performance in redox reactions. It is also recommended that the Ghana education service should collaborate with the chemistry teachers’ Association of Ghana to organize professional development programs, seminars, and workshops for chemistry teachers on activity-based to improve their knowledge of teaching skills.

The social aspect of education is an important part of the learning process. In this study two research questions were asked to explore this idea. Social network analysis provided multiple measures of AP Physics 1 students’ network centrality. These measures were used to predict physics achievement. Further, survey results measuring extroversion (EPI, alpha=.84-.94), motivation (PGOS, alpha=.64-.83), and self-efficacy (SOSESC, alpha=.94) were used to determine students’ personality characteristics. These personality results were used as moderators for the moderation analysis. The sample consisted of 106 students from a large, Midwestern, suburban high school taking AP Physics 1. Numerous centrality measures significantly correlated with physics achievement. Extroversion and self-efficacy increased the effect of centrality in most cases, whereas motivation did not change the centrality-achievement relationship. In most cases, having many, high quality connections was beneficial to learning physics, but personality characteristics must also be included in pedagogical decisions. Based on the results, teachers are strongly advised to account for personality and student connections when forming groups.