Septic arthritis is a medical emergency requiring early microbiological diagnosis and immediate initiation of appropriate antibiotic therapy to prevent irreversible joint damage. This 9-year retrospective study aimed to describe the epidemiological and microbiological features of culture-confirmed native joint septic arthritis cases diagnosed at the bacteriology laboratory of the Mohammed V Military Instruction Hospital in Rabat (2016–2024), and to evaluate antimicrobial susceptibility profiles of isolated bacteria. Of 922 synovial fluid samples analyzed, 64 culture-confirmed septic arthritis cases were retained. Cytobacteriological evaluation included macroscopic examination, leukocyte count, microcrystal search, Gram staining, and culture on solid enriched media complemented by liquid enrichment broth (brain-heart infusion) and/or inoculation into blood culture bottles. Antimicrobial susceptibility was assessed using the disk-diffusion method following the guidelines of the European Committee on Antimicrobial Susceptibility Testing. The median patient age was 62 years [IQR 44–72], with a male predominance (male-to-female ratio of 2.2). The overall culture positivity rate was 6.9% (64/922). Gram staining was positive in 63% of cases (40/64), predominantly revealing Gram-positive cocci (59%, 38/64). Primary culture was positive in 86% of cases (55/64), while enrichment techniques enabled pathogen isolation in 9 initially sterile samples. Gram-positive cocci accounted for 85% of isolates (57/67), led by Staphylococcus aureus (43%, 29/67), followed by streptococci (27%, 18/67) and Gram-negative bacilli (12%, 8/67). Four multidrug-resistant strains were identified: Three methicillin-resistant Staphylococcus aureus (MRSA, 10% of S. aureus, 3/29) and one extended-spectrum beta-lactamase producing Klebsiella pneumoniae. Native joint septic arthritis in our setting is primarily caused by Staphylococcus aureus, with low multidrug-resistant organism prevalence. A rigorous cytobacteriological approach (including systematic enrichment techniques) is essential to optimize diagnostic yield. These findings support empirical antibiotic therapy primarily targeting Gram-positive cocci, guided by local ecology, with regular protocol reassessment in line with evolving resistance patterns.

This study examined the effect of fiscal deficits on private savings in Nigeria from 1981 to 2023. The research used data on private sector savings deposit, fiscal deficit as a percentage of gross domestic product - GDP, broad money supply as a ratio of GDP in %, private sector credit as a ratio of GDP in % and exchange rate from the statistical reports of Nigeria’s central bank. The main analytical technique applied was the Autoregressive Distributed Lag - ARDL Bounds testing method. The results revealed there is a long-term connection between the variables studied. The results also revealed that in the long run, fiscal deficit and private sector credit as a ratio of GDP in % have a positive though not significant relationship with private savings. At the same time, broad money supply as a ratio of GDP in % has a negative association with private savings. Meanwhile, exchange rate has a positive and significant relationship with private savings. In the short run, fiscal deficits, private sector credit as a ratio of GDP in %, broad money supply as a ratio of GDP in % and exchange rate have positive association with private savings. Interestingly, only broad money supply as a ratio of GDP in % is statistically significant. Based on these findings, the study submitted that sustained increases in private savings require policies that enhance household income, strengthen financial intermediation, ensure macroeconomic stability, and improve the productivity of government expenditures. Such measures are more likely to generate meaningful and lasting improvements in the nation's savings performance and economic development. Policymakers should encourage deposit money banks and other financial institutions to extend credit to sectors with high growth and employment potential, including agriculture, manufacturing, small and medium-scale enterprises (SMEs), and technology-based industries. Such measures would enhance productive capacity, increase income generation, and subsequently boost private savings. Policymakers should prioritize measures that enhance income levels, strengthen financial sector development, improve financial inclusion, and maintain macroeconomic stability. These policies are more likely to generate sustainable increases in private savings and support long-term economic growth and development in Nigeria.

In order to address the challenge brought by artificial intelligence in traditional English teaching, we analyze the major challenges and problems faced by English teaching in the artificial intelligence environment. Based on practical teaching conditions, we put forward coping strategies from the perspectives of teachers, students, classroom teaching, categorized training, curriculum culture and usage specifications. By adopting these strategies in English teaching, the data reveal that the integration of AI has exerted positive impacts on teacher development, student growth, teaching modes, teaching resources and teaching effectiveness. The study shows that AI instructional design developed based on practical conditions and the integration of AI technologies and tools into teaching activities can exert positive effects.

The impact of Generative Artificial Intelligence on content creation, adaptation, and distribution for global brands is sweeping and transformative. AI opens up new possibilities for marketers to connect with audiences in different countries, languages, and cultures, helping them reach their target audience in a timely and relevant manner. But Generative AI's potential in content marketing goes beyond efficiency. Its actual impact will depend on the consumer's feeling of relevance, credence, authenticity, and engagement with the content produced with AI. This paper will address three related questions: What can Generative AI do to improve content creation and personalization? What are consumer responses to AI-generated marketing messages? How can brands implement Generative AI without sacrificing trust and the human element? The aim of this paper is to suggest that Generative AI can be best used to supplement rather than supplant human creativity. The key problem for global brands isn't just the volume of content but the creation of culturally relevant, emotionally resonant and market-credible content. In response to these concerns, this paper proposes a conceptual framework with eight testable propositions, three theoretical paradoxes to be explored in the deployment of AI, and implications for marketing practitioners. It concludes that to benefit from AI in marketing, there must be a conscious effort to balance automation with authenticity, efficiency with ethical concerns, and personalisation with consumer trust.

Background: Family planning (FP) services are vital for reproductive health, particularly for individuals living with HIV. Integrating FP into HIV care can increase contraceptive uptake, reduce unintended pregnancies, and prevent mother-to-child transmission of HIV. This study examined FP uptake and utilization among HIV-positive patients attending the Haematology/ART clinics at Lagos State University Teaching Hospital (LASUTH). Materials and Methods: A cross-sectional study was conducted among HIV-positive individuals receiving care at LASUTH. Data were collected using structured questionnaires covering socio-demographic information, FP awareness, service utilization, and barriers to uptake. Statistical analyses, including chi-square tests, were used to assess associations between demographic factors, awareness, and FP utilization. Results: The findings revealed a significant association between gender, marital status, employment status, ethnicity, and FP awareness. Married and employed respondents demonstrated higher awareness, and awareness was strongly associated with FP uptake. Respondents aware of FP services were significantly more likely to use contraceptives than those unaware. Despite this, several barriers were reported, including spousal opposition, religious objections, misconceptions about contraceptive side effects, and limited accessibility. These barriers influenced both awareness and actual uptake of services. Conclusion: This study underscores the importance of integrating FP into HIV care to enhance accessibility and utilization. Increasing awareness, promoting male involvement, and addressing cultural and religious misconceptions are key strategies to improve uptake. Integrating FP into ART clinics aligns with global recommendations for comprehensive HIV care and can improve reproductive health outcomes while reducing HIV transmission risks. Tailored interventions and evidence-based policies are needed to strengthen FP adoption among people living with HIV in Lagos State and similar settings.

Financial-service companies, including insurance companies, are increasingly taking environmental sustainability into account. Insurers are increasingly encountering climate-related risks and are expected to address the concerns of stakeholders, which has led to ESG (Environmental, Social and Governance) being incorporated into insurers' strategy and corporate communications. This research explores the green marketing practices of the selected insurance companies in India from the year 2021 up to February 2025. A multiple case method, qualitative approach was employed based on public information in the company disclosures, press releases and industry sources. The study is based on the case studies of four insurance companies: Axis Max Life Insurance, PNB MetLife, Generali Central Insurance, and Future Generali India Insurance. The analysis reveals three key patterns: community-based afforestation, a culture of employee engagement with sustainable practices, as well as embedding environmental initiatives in corporate brand communication. Over 7000 saplings were planted in 35 cities with more than 1700 volunteers under Axis Max Life's Insure Earth program and PNB MetLife's Glow Green program, aimed at planting and nurturing more than 40000 trees. Future General, Generali's Green Switch program gamified the way their employees behaved to make them more environmentally friendly. The results indicate that green marketing in the insurance sector is not just about communicating CSR, but also about engaging more with stakeholders and promoting the sustainability of the organization. But company-reported environmental outcomes must be interpreted with caution, as they are not necessarily a reflection of independent verification of ESG performance. Thus, the key to successful green marketing is transparency, measurable indicators and credible environmental claims.

Background: Older adults with diabetes mellitus frequently require multiple medications because of multimorbidity, increasing the complexity of pharmacotherapy and the risk of drug-related problems (DRPs) and potentially inappropriate medications (PIMs). Systematic identification of inappropriate prescribing is therefore important for improving medication safety in this vulnerable population. Objectives: To identify PIMs among elderly patients with diabetes mellitus using the 2019 American Geriatrics Society (AGS) Beers Criteria and to characterize the associated DRPs and their underlying causes using the Pharmaceutical Care Network Europe (PCNE) Classification V9.1. Methodology: A prospective observational study was conducted over 6 months in the General Medicine Department of HKES’s Basaveshwar Teaching and General Hospital, Kalaburagi. Patients aged >65 years with diabetes mellitus who were prescribed at least two medications and fulfilled the predefined eligibility criteria were enrolled. Demographic characteristics, diagnoses, comorbidities, medication profiles and relevant clinical information were recorded using a structured data collection form. PIMs were identified using the 2019 AGS Beers Criteria and the identified PIMs were subsequently classified according to the PCNE V9.1 framework. Results: A total of 120 elderly patients were evaluated. Most patients were aged 65–75 years (101; 84.17%) and were male (72; 60.0%). Diabetes with hypertension was the predominant comorbidity (73; 60.8%). Major polypharmacy (>5 medications) was present in 114 patients (95.0%), with a mean of 11 medications prescribed per patient. A total of 218 PIMs were identified. The largest Beers category was drug–disease/drug–syndrome interactions (56; 25.7%), followed by medications to be avoided (50; 22.9%), renal impairment-related criteria (42; 19.3%), medications to be used with caution (37; 17.0%) and clinically important drug–drug interactions (33; 15.1%). Glimepiride (18), nifedipine (12), insulin (9), paroxetine (22), canagliflozin (15), tramadol (9) and levetiracetam (19) were among the frequently identified agents across the respective Beers categories. Drug selection was the principal PCNE cause domain, accounting for 192 DRPs (88.9%). Conclusion: The study demonstrated a substantial burden of PIMs and medication-related safety concerns among elderly patients with diabetes mellitus, occurring in the setting of extensive polypharmacy and multimorbidity. Systematic medication review using explicit prescribing criteria, renal and dose assessment, and structured DRP classification may facilitate earlier identification of potentially harmful prescribing patterns. Integration of clinical pharmacists into multidisciplinary medication-review processes may further support individualized and safer pharmacotherapy.