In contemporary society, a marked decline in humanity's intrinsic values has become a point of lamentation for many observers. This is particularly evident when one considers the recognition often bestowed upon individuals of dubious character, while those who embody exemplary virtues are frequently overlooked or forgotten. In this context, this paper seeks to pay rightful tribute to David Kwadwo Boadu—the Renaissance Man of Kyekyeku—a figure whose remarkable life reflects a profound dedication to multiplicity and benevolence. This study delves deeply into his multifaceted contributions spanning various domains, including his roles as a husband, father, farmer, herbalist, midwife, hunter, catechist, musician, builder, arbitrator, counsellor, and cacao merchant. Each of these roles highlights essential themes of generosity and diversity, serving to illustrate how such attributes shape both an individual's identity and their contributions to the broader society. Utilising qualitative approach that involved interviews and employing the Streamwrite methodology—an innovative art-based approach designed to engage with the complexities of human experiences—this study underscores the critical importance of recognising individuals who exemplify these virtues as key to restoring the eroding humaneness in our communities.

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.

Background: Low socioeconomic status (SES) has been linked to higher rates of tobacco and marijuana use initiation; however, the contributions of environmental and neurocognitive factors remain underexplored. This study investigates a potential pathway connecting low SES, fine particulate matter (PM2.5) exposure, brain functional connectivity, and inhibitory control to increased tobacco and marijuana use initiation among adolescents. Objectives: To examine the mediating roles of PM2.5 exposure, resting-state functional connectivity between the right pallidum and the ventral attention network (P-VAN rsFC), and inhibitory control in the relationship between low SES and tobacco and marijuana use initiation. Methods: Data were drawn from the Adolescent Brain Cognitive Development (ABCD) study to assess associations between baseline SES, baseline PM2.5 exposure (based on zip code), baseline P-VAN rsFC, baseline inhibitory control, and subsequent tobacco and marijuana use initiation. Mediation models were used to determine whether PM2.5 exposure and changes in P-VAN rsFC act as pathways linking low SES to diminished inhibitory control and subsequent substance use initiation. Results: Low SES was associated with higher PM2.5 exposure, which, in turn, was linked to alterations in P-VAN rsFC. These alterations were correlated with lower inhibitory control, which significantly predicted tobacco and marijuana use initiation over time. Inhibitory control partially mediated the relationship between low SES and substance use initiation, indicating a complex pathway influenced by environmental and neurocognitive factors. Conclusions: This study identifies a potential mechanism linking low SES to tobacco and marijuana use initiation through environmental and neurobiological pathways. Understanding how PM2.5 exposure and neurofunctional connectivity impact inhibitory control can provide valuable insights for developing targeted interventions to reduce substance use among adolescents in low SES environments.

The purpose of this study was to examine the contributions of Beach Resorts to the development of coastal communities in the Central Region of Ghana. A mixed-method approach was adopted for the study. The population for this study comprised five communities selected from two municipalities and a district in the Central Region of Ghana (Brenu Akyinim and Elmina in the Komenda/Edina/Eguafo/Abrem Municipality (KEEA), Moree in Abura/Asebu/Kwamankese District (AAK) as well as Anomabo and Ekumfi Otuam in the Mfantseman Municipal Assembly) Sample Random and Purposive sampling techniques were used to select the communities’ and respondents (Community members, Government agencies, and Resort management) for the study. The main instruments used for the study were questionnaires, Focus Group discussions and interviews. 240 questionnaires were administered, 40 by tourists and 200 by the inhabitants of the study area. Eighteen opinion leaders and management leaders in the study areas were also interviewed. The quantitative data entry and analysis were done by using the SPSS software package. The qualitative data was analysed by the use of the interpretative technique based on the themes arrived at during the data collection from the focus group discussions. It was realized that beach Resorts are a force to reckon with because the communities benefit a lot from job creation, income, infrastructure development, improvement in aesthetics, improved sanitation and many more. Education and skill training of the youth in the coastal communities is very crucial if they are to be employed and be paid well. Some of them need foreign exposure to enlighten them about the need of foreign tourists to help manage the resort facilities very well and to make their services more competitive with beach resorts in other coastal regions in Ghana and Africa at large. It is recommended that the District Assemblies and Ghana Tourist Authority should institute policies to ensure that the education of the youth in the coastal communities (study areas) are given priority and also access to financial support be made available to the local investors. Beach resort owners should liaise with Ghana Tourism Authority and the Chiefs to establish a training institution to train and update the skill of those who work in the tourism sector.

In the current study, the eight-bar planar mechanism is balanced by reducing variations in shaking force and moments using Minitab and a genetic algorithm. The objective function and constraint equations are taken into consideration, the mathematical model was developed to optimize the balancing of the planar eight-bar mechanism.A set of weighting factors were taken into consideration in order to determine the ideal values for the design parameters based on the contributions of the X and Y components of the shaking force and the shaking moment. A genetic algorithm was used to find the best design parameters. The results showed that the shaking force and moments decreased by 34.5 and 61% from the initial values, respectively.

This study is a literature review with a qualitative approach. It is justified by the significant increase in diseases acquired through lifestyle habits that generate health risks, which impair and are responsible for decreasing longevity and decreasing quality of life, such as hypertension, depression, obesity and respiratory tract diseases. Physical activity is recognized as a protective factor for health, and its benefits are associated with the reduction of chronic diseases and a decrease in the risk of premature death from diseases related to a sedentary lifestyle. The objective of this research is to search and identify, within the scientific literature, if there are in fact contributions from the practice of physical activity in subjects diagnosed with depression. For the categorization of studies and selection of materials, the following keywords were determined: physical exercise and depression and physical activity and depression. As inclusion criteria for data analysis and interpretation, the following were considered: articles in Portuguese, full texts, published in health journals, between the years 2005 to 2015. As exclusion criteria, we considered articles found by descriptors that did not contain one or more of the inclusion criteria. In this study, articles were selected by searching the Scientific Electronic Library Online (SciELO) and Lilacs. The choice of these databases was prioritized due to the quality and reliability of the materials available, and their easy access. 77 articles were found, of which 4 were selected to be part of this research. It can be noted that physical activity showed positive aspects and possible contributions and can be considered as a bias in an adjunct to conventional pharmacological treatments. The need for further clarification about the disease in relation to psychological, social and physiological issues is also evident, thus opening the possibility for further studies and research on the subject, so that in this way they can guide possible interventions that help in the treatment of the depression.

The outbreaks and quick spread of severe-acute-respiratory-syndrome-coronavirus 2 (SARS-CoV-2), causing the coronavirus disease 2019 (COVID-19), have badly affected the whole world due to continuous emergence-and-transmission of the latest-new viral-genomes forming new-variants revealing patterns of the SARS-CoV-2 outbreak-and-global-pandemic with badly affecting advanced-medical-science-technology-communication-agriculture-agronomy-plant-breeding-horticulture, health-environment-socio-economy, and different-issues. India's emphasis on okra, the ‘Nature's-Gift to Human-Disease-Free-Healthy-Life’ and the most ‘Economically-Important-Number-One-Consumption Vegetable-Crops’ is destroyed by various-diseases causing pathogens like the root-knot (RK)-diseases caused by the nematodes, Meloidogyne incognita (Kofoid & White) Chitwood, and easily checked by many chemical-pesticides. But it causes different carcinogenic effects on the environment and our life. So it is an urgent need to develop potential biomedicines. The pretreatments with ultra-high-diluted-biomedicines (UHDBMs) Gall 200C and Nematode 200C, prepared from okra-root-galls (ORG) and nematode-females (NF) respectively, applied by foliar spray@ 20 ml/plant, are highly effective against the root-knot-disease of okra, Abelmoschus esculentus (L.) Moench Cv. Ankur-40, with the increasing growth of plants and fruits-production. The UHDBMs-Gall 200C is more effective than the Nematode 200C. Both the pretreatments-UHDBMs are responsible for induce-systemic-acquired-defense-response of the pretreated-plants through the expression of pathogenesis-related (PR)-proteins-genes (22-14 numbers), which are more or less similar-molecular-range (295kD-11kD) of many coronavirus, which will be responsible for preventing-RK and COVID-19 like virus-diseases by inducing-defense-resistance or increasing innate-immunity respectively, and advanced in medical-science, technology, communication, agriculture, agronomy, plant breeding, horticulture, health, environment, socio-economy, and different application-issues with pollution-free globe, developing new-preventive typical-biomedical vaccines or treatments methods or drug development and research against the ‘21^st-Century Global Pandemic COVID-19 like Any Viral Diseases’ which lead to optimal contributions to the field of policymaking drug and vaccine development emphasizing new or important aspects of the study, and synthetic production of UHDBMs will be more practical implications, and social implications in the future research. And the farmers and the world would be benefitted most; by collecting and uprooting gall-roots after harvesting for cost-effective bio-controlling plant-diseases, and profit from shelling-and-buying of whole plants, fruits, and gall-roots also, and helps for the benefit of global health by developing the most cost-effective, personalized, non-toxic, easily-preparable, easily-maintainable, easily-available and suppliable, vaccines or treatments methods from their own product.

Retirement planning can be a complex endeavor. One consideration is whether or not to invest in an Individual Retirement Account (IRA). The present study compares the effect of several contributions to a traditional, Roth, and rollover IRA. The returns generated for each model are derived from the historic growth rates of the S&P 500 over 40 years. Results are presented in terms of employer match, taxes due, and the number of shares utilized in the long-term investment strategy for each withdrawal method. Results show traditional IRA contributions or Roth IRA contributions are equally matched until employment termination. Taking an active role in managing the investment strategy, possibly by working with a financial representative, suggests a more favorable positioning upon employment termination [1]. Traditional and other pre-tax plans usually do not have an employer match, are usually paired with decreased taxes paid, and the number of shares available to the long-term investment strategy is somewhat reduced. In all cases, risk is increased. Rollover IRAs enjoy a match, lower taxes, and decrease the amount of calculated risk involved. A certified financial planner should be the resource of choice to determine how corporate retirement planning programs fit into the overall investment strategy.

This paper shows how Big Data Analytics (BDA) and Artificial Intelligence (AI) automation facilitate regulatory compliance in Finance. Regulatory compliance is essential in helping institutions to mitigate reputational, litigation, and financial risk. Existing literature reveals several preconditions for compliance. However, much of the literature has adopted an internal view of compliance without considering external regulatory frameworks. This research draws on the cognitive model of regulation that looks at regulatory compliance as a social construct. It uses a triangulation research method comprising literature review, interview of trade compliance experts, and questionnaire survey of compliance practitioners to understand how regulation affects compliance and what role ICTs play in implementing compliance. The findings of this study present a regulatory compliance framework comprising four cognitive stages and a conceptual regulatory compliance system that presents how BDA and AI automation are applied to mitigate regulatory complexity and enhance regulatory compliance. The conceptual regulatory compliance system shows how BDA and AI enable institutions to dynamically assess regulatory risk, automatically monitor compliance, and intelligently predict risk violations mitigating regulatory complexity and preventing producing unnecessary documents. It provides theoretical contributions to understanding regulatory evolution and compliance and practical implications for understanding how regulation evolves to be more complicated and elements of a regulatory compliance system mitigate proliferating regulations. Additionally, it provides avenues for future research into the relationship between competing regulatory mandates and how institutions cope with that. Regulations are important for ensuring compliance and governance in finance and to curb systemic risk. Complying with regulations is difficult due to their growing volume, complexity, and fragmentation. Institutions use large-scale Information and Communication Technologies (ICTs), such as Big Data Analytics (BDA) and Artificial Intelligence (AI) automation, to monitor compliance and mitigate regulatory complexity. However, less is known about how firms comply with regulation. Most literature does not thoroughly investigate regulatory elements nor explicitly relate them to compliance.