From 2020 to 2022 the Covid-19 was spread and many people died. Death is near to everyone. The aim of the study was to investigate differences of concept of good death and view of life and death cross cultural. Participants were 92 Japanese, 110 Korean and 100 American who were ordinary people. We used the Good Death questionnaire to measure desirable death and the Death Attitude Inventory to measure view of life and death. Participants completed both questionnaires. As for Good Death, Japanese and Korean regarded “not being burden to others” as important the most, and American regarded “feeling that one’s life is worth living” as important. The scores of “unawareness of death” and “religious and spiritual comfort” of Korean were the highest, following American, and Japan. As for the Death Attitude Inventory, the score of American was higher than Japanese and Korean totally. The scores of “Death as release” or “Death Avoidance” of American were the highest. These results suggest that although Japanese and Korean regard “Not being burden to others” as important in common, Korean regard religious and spiritual comfort as important. American may avoid to think of death and regard it as release. We can make use of these cultural differences in clinical situation.

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.

Pharmaceutical supply chains are critical to ensuring the availability of safe and effective medications, yet they face numerous challenges that can jeopardize public health. This article provides a comprehensive analysis of the key issues impacting pharmaceutical supply chains, including regulatory compliance, demand forecasting, supply chain visibility, quality assurance, and geopolitical risks. Regulatory compliance remains a significant concern due to the stringent guidelines imposed by authorities such as the FDA and EMA, which can lead to increased operational costs and time delays. Additionally, traditional demand forecasting methods often fail to accurately predict fluctuations in drug demand, resulting in stockouts or excess inventory. Limited supply chain visibility further complicates these challenges, hindering timely decision-making and operational efficiency. Quality assurance is paramount, as maintaining the integrity of pharmaceutical products throughout the supply chain is crucial to preventing costly recalls and ensuring patient safety. Moreover, the globalization of supply chains introduces vulnerabilities to geopolitical risks, trade disputes, and natural disasters. In response to these issues, this article outlines strategic recommendations for optimizing pharmaceutical supply chains. These include leveraging advanced analytics and IoT technologies to enhance demand forecasting and visibility, strengthening compliance through automated systems and training, fostering collaboration among stakeholders, implementing robust risk management frameworks, and investing in quality management systems. By adopting these strategies, pharmaceutical companies can enhance the efficiency and resilience of their supply chains, ultimately ensuring the continuous availability of essential medications for patients worldwide. This analysis serves as a critical resource for industry professionals seeking to navigate the complexities of pharmaceutical supply chains in an increasingly dynamic global environment.

This study investigates the benefits of forgiveness among adolescents in Junior High Schools (JHS) in Bimbilla, Ghana, focusing on the influence of age on the effectiveness of forgiveness interventions. The study adopted a mixed-method experimental design, a purposive selection of eight JHSs within the Nanumba North Municipality, from which 60 adolescents were randomly chosen to participate. The study employed the Enright Forgiveness Inventory, Depression Mood Scale, and Anger Self-Report items to assess participants' emotional states before and after the intervention. The interventions were structured around the REACH model of forgiveness, which included sessions aimed at helping participants identify sources of hurt, understand the concept of forgiveness, and recognise the emotional costs of holding onto grievances. Qualitative data were analysed into themes using an interpretative lens. A two-way Analysis of Covariance (ANCOVA) was used to analyse the data. The findings revealed that exposure to forgiveness therapies significantly reshaped participants' negative emotions, leading to a marked decrease in feelings of anger and depression. Post-intervention assessments indicated that participants developed a more positive outlook towards their offenders, highlighting the transformative power of forgiveness in fostering emotional well-being. The study's results align with previous research, indicating that forgiveness interventions can effectively reduce negative emotional states and promote psychological resilience. The implications of these findings suggest that integrating forgiveness education into school curricula could be beneficial for enhancing the mental health of adolescents. By fostering an environment that encourages forgiveness, educators and mental health professionals can help mitigate the adverse effects of unresolved emotional conflicts, ultimately contributing to healthier interpersonal relationships and improved overall well-being among young individuals.

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.

The purpose of the study was to examine the effect of REACH and Process Models on forgiveness, anger and depression among 11- to 19-year-old adolescents in junior high schools in Bimbilla in the Northern Region of Ghana. The study employed a mixed-method design. The population for the study comprised all junior high school students totalling 3632. Of this number, 1,888 (55%) of the students were males, while 1744(45%) were females. The accessible population was 1,636 from eight (8) JHSs with 952(55%) of them being boys and the remaining 684(45%) being girls. The participants were selected based on their low levels of forgiveness and high levels of anger and depression determined by the Depression Mode Scale and Anger Self-Report. Purposive and simple random sampling techniques were used to select 60 participants for the study, with each group having 20 participants. The main instruments used for the study are questionnaires (Enright Forgiveness Inventory (EFI). Anger self-report questionnaire (ASR), and Depressed Mood Scale (DMS) and semi-structured interview guide. One-way Analysis of Covariance (ANCOVA) was used to test the hypotheses. The study indicates that both the REACH model and PROCESS model have the efficacy in enhancing forgiveness among adolescents. The study also revealed that the REACH model and Process model have efficacy in reducing levels of depression among adolescent students. It is recommended that Counselling Centres should be set up by District Education Offices and the District Assemblies in the community so that students can visit the centre anytime they feel hurt. Regular seminars, lectures and symposia should be organized regularly by Counsellors and Psychologists using the efficacy of forgiveness therapies (Process and REACH Therapies) for students to be sensitized on the need to patronise forgiveness interventions. It is also recommended that the Government should provide adequate funds and support to encourage the conduct of research in forgiveness counselling since it is a new concept in Africa and Ghana in particular.

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.

Background: Depression occurs in one-third of stroke patients, in what is known as post-stroke depression. The lesion sites in stroke have been associated with the degree of depression. However, studies have provided different perspectives, and this necessitates further clarification. This study investigates the relationship between the lesion sites and the severity of depression in ischemic stroke patients. Methods: This cross-sectional study was conducted between January and April 2020. All samples were obtained from admitted patients with ischemic stroke who agreed to participate in the study. Data were collected using Beck’s Depression Inventory-II (BDI-II), which was used to determine the severity of depression, and the lesion sites were based on radiological imaging interpretation. Results: The study showed a significant association between the lesion site and the degree of depression (OR = 5,368, p-value = 0,013). Lesions in the frontal lobe demonstrated stronger associations with the severity of depression. Conclusion: The location of the lesion, especially in the frontal lobe, was associated with more severe post-stroke depression.

Parental anxiety and depression are factors that significantly affect the practice of parental role and have an impact on the upbringing of children and their quality of life. The purpose of this study is to investigate whether the counseling intervention that parents received during their participation in parent school programs reduced stress and depressive symptoms and improved their quality of life. A sample of 160 parents was collected from two independent groups: the experimental group consisting of 80 parents who participated in the program and the control group consisting of parents who after being informed about the implementation of the programs in their schools decided not to participate. The psychometric tools have been used are: The Spielberger Stress Trait Anxiety Inventory (STAI), the Beck depression Inventory (BDI), and the Health and well-being Questionnaire (The RAND 36-Item Healthy Survey, SF-36, Version 1.0). The results of the research confirmed the research hypothesis according to which the effect of the counseling intervention on the parents who participated in the parent schools affected the reduction of the stress index, state anxiety (Ζ=-2,882, p=0,004) and trait anxiety (Ζ=-3,776, p<0,001), the reduction of the depression index (Ζ=-6,876, p<0,001) and the improvement of their quality of life(Ζ=-5,364, p<0,001) ) especially of physical health (Ζ=-4,529, p<0,001) and emotional health (Ζ=-4,529, p<0,001).