Atlantic International University, Inc. (AIU) is a private for-profit distance learning university based in Honolulu, Hawaii. It was founded in December 1998 as Atlantic University, Inc. It offers undergraduate and graduate degrees including doctorates.
The advent of large language models (LLMs) has marked a turning point in artificial intelligence applications within healthcare. Med-PaLM 2, developed by Google, stands out as a specialized model trained on medical data that has demonstrated expert-level performance on the USMLE. This literature review explores the educational potential of Med-PaLM 2 across different learner levels—medical students, residents, and practicing physicians. It evaluates the benefits, limitations, and contextual challenges of adopting such AI tools in the Arab world, particularly in remote education and clinical skills laboratories. While Med-PaLM 2 offers new opportunities for personalized learning and simulation-based training, its integration must be guided by ethical frameworks, policy development, and regional adaptation efforts to ensure equitable and effective implementation.
Management accounting strategy is a relatively new phenomenon in accounting. Management accounting in support of strategy, explores how management accounting can support the strategic management process of analysis, formulation, implementation, evaluation, monitoring, and control (Hopper, 2000). A management accountant must be knowledgeable about the operations of the company in order to bring value to it. In addition to accounting techniques, management accountants have access to strategy models and frameworks in their toolbox. Equipped with these diverse tools, the management accountant can make a substantial contribution to the company's worth. The main goal of management accounting is to give managers the information they need to run the company. As part of this, the organization's operational, business, and strategic decision-making processes are supported (Hilton et al., 2011). Many conventional accounting methods are said to be too inwardly focused, mainly financial in nature, and more appropriate for assisting with operational than with strategic decision making. Beginning in the early 1980s, writers proposed that accountants should conduct market research and offer information about rivals and competitors (Hopper, 2000). Accounting methods that prioritised the strategic elements of the company were distinguished from the more conventional, tried-and-true methods by using the term "strategic management accounting." This led to studies on the adoption of strategic management accounting techniques; however, the term is still uncommon among practicing accountants, and the applicability of these techniques is questionable. Organisations now operate in a more complex, dynamic, and unpredictable business environment. There isn't a better moment for management accountants to reach their full potential in aiding and assisting with the organization's strategic initiatives. Supporting all tiers of management during the course of the strategic management process is the goal of management accounting as strategy support. In order to highlight the connection between management accounting and strategy in the use of accounting data to further a company's strategic objectives, I have tried to examine management accounting from a wide perspective. I'll also look at how management accounting aids in the creation of complete and accurate financial statements for internal use, the assessment of outside data on rivals and industry trends, the conversion of goals into budgets and targets, and the tracking and management of business performance.
The industrialisation of artificial-intelligence (AI) computation has produced an electrical load class that the incumbent low-voltage (LV) data-centre reticulation architecture was not designed to serve. Accelerated-compute racks now draw 120–140 kW and are credibly forecast to reach 500–1000 kW within the present design horizon, while synchronised gradient exchange across tens of thousands of accelerators imposes deterministic power oscillation in the 0.1–10 Hz band and campus ramp rates of tens of megawatts per second. This paper develops, dimensions and evaluates a medium-voltage (MV) architecture that carries MV to the row and converts once, at the row, to a regulated bipolar ± 800 V direct-current (DC) bus. The architecture comprises dual 132/33 kV intakes, an SF 6 -free 33 kV ring main, distributed 20 MVA solid-state transformer blocks, a 13.8 kV cast-resin busway to the row, and 1.5 MW row power-conversion units with hybrid battery and super-capacitor buffering. A complete analytical framework is presented, covering a parameterised stochastic load model, Kelvin's-law conductor economics extended with fault-level, arc-flash and converter-cost penalties, the cascaded efficiency chain, IEC 60909 short-circuit computation, tri-duty DC-bus storage sizing, IEC 60287 ampacity derating for a 50°C ambient, Markov availability and IEEE 1584 incident-energy evaluation. The framework is applied to a fully specified 100 MW campus in Abu Dhabi and benchmarked against a legacy 400 V baseline and an improved 415 V variant. End-to-end efficiency rises from 80.28% to 90.26%; conductor mass for an equivalent 2.5 MVA, 200 m feeder falls by 97.1%; expected annual downtime falls from 42.6 min to 3.2 min at a computed availability of 0.999994; total demand distortion at the point of common coupling falls from 11.71% to 1.63%; worst-case incident energy falls from 48.6 to 6.4 cal/cm 2 , moving the maintenance boundary from personal-protective-equipment category 4 to category 2; and the imposed grid ramp rate falls from 96 to 11.8 MW/s. Capital cost falls by 17.3% and fifteen-year total cost of ownership by 32.4%, because savings in LV distribution, cabling, containment and civil works exceed the premium on solid-state conversion equipment.
Grounded in Attachment Theory, the study aimed to investigate the relationship between parental emotional abuse and self-esteem in Pakistan, where empirical evidence on this association remains limited despite the widespread normalization of harsh parenting practices. The study adopted a cross-sectional correlational research design and a purposive sampling technique to collect data from adolescents and young adults aged 15 to 35 years with a minimum educational qualification of matriculation/O-Level. Initially, 280 individuals were approached, among whom 234 fulfilled the inclusion criteria and completed the questionnaire, yielding a response rate of 83.57%. The study administered two questionnaires: the Parental Emotional Abuse Questionnaire and the Rosenberg Self-Esteem Scale (RSES). Correlational analysis revealed a significant negative relationship between parental emotional abuse and self-esteem (r = −.21, p < .001). Regression analysis further indicated that parental emotional abuse significantly predicted lower self-esteem (β = −.21, R² = .04, p < .001). The findings are consistent with Attachment Theory and suggest that parental emotional abuse is associated with lower self-esteem among Pakistani adolescents and young adults. The study emphasized the importance of promoting positive parenting practices and increasing awareness of the long-lasting psychological outcomes of parental emotional abuse to promote healthier self-esteem among adolescents and young adults.
This study examined the impact of community-based approaches on natural resource management in Sapo National Park, Sinoe County, Liberia, covering the period 2020–2024. Despite being Liberia’s largest protected area and a critical biodiversity hotspot hosting endangered species such as the pygmy hippopotamus and forest elephants, the park faces persistent threats from illegal mining, poaching, and weak enforcement mechanisms. A mixed-methods research design employing an explanatory sequential approach was utilized, combining quantitative data from 149 community respondents with qualitative interviews from park management staff, community leaders, and key stakeholders (total N = 237). Data were analyzed using descriptive statistics and multiple linear regression analysis. The findings revealed that community-based approaches are characterized by high levels of active participation (overall mean = 4.25), strong resource tenure security (mean = 4.30), transparent benefit-sharing mechanisms (mean = 4.22), effective capacity building (mean = 4.23), and robust local governance structures (mean = 4.34). Natural resource management strategies demonstrated positive outcomes in biodiversity conservation (mean = 4.30), sustainable resource use (mean = 4.30), reduction in illegal exploitation (mean = 4.28), improved ecosystem services (mean = 4.01), and community resilience (mean = 3.97). Regression analysis revealed a strong positive relationship (R = 0.799) between community-based approaches and natural resource management outcomes, with the independent variables accounting for 63.8% of the variance in conservation success (R²=0.638, p < 0.001). Capacity building emerged as the most influential predictor (B = 0.713, p < 0.001), followed by local governance structures (B = 0.601, p < 0.001). The study concludes that community-based approaches significantly enhance natural resource management when built on inclusive participation, secure tenure rights, transparent benefit-sharing, and accountable governance.
