This paper proposes a data-driven investment framework for private equity (PE) firms investing in renewable energy projects, drawing on analytical practices and financing innovations from the small and medium-sized enterprise (SME) sector. While SMEs have started to adopt clean energy through performance modeling, predictive analytics and flexible financial instruments, PE investment strategies have remained based on subjective evaluation and traditional financial metrics. This research bridges the gap by combining SME insights with private equity investment principles to identify scalable tools and models that can improve deal screening, ROI estimation and risk management in renewable energy. The methodology used a multi-faceted approach combining literature review, qualitative stakeholder insights and conceptual modeling. The literature review looked at academic and industry publications on SME energy financing and PE investment practices to identify the gaps and opportunities. Qualitative data was collected through interviews and focus groups with PE managers, renewable energy developers and SME owners who had implemented clean energy solutions. These insights informed the development of conceptual models adapting proven SME approaches pay-as-you-go financing and advanced ROI forecasting to the institutional investment context. The methodology prioritized practical applicability while maintaining analytical rigor through triangulation of multiple data sources. Empirical data analysis revealed the key barriers, financing preferences and analytical tools that have shaped SME investment behaviour, providing valuable lessons for institutional investors. The resulting framework is a replicable and interpretable model for evaluating renewable energy opportunities in private markets. This model addresses the main challenges in current PE practices and incorporates data-driven elements that have proven to work in SMEs. The paper concludes with practical recommendations for PE firms’ data-rich decision support systems, performance-linked financial structures and operational analytics in portfolio monitoring. And it outlines future research avenues real-time data integration, geospatial risk modeling and sector-specific investment frameworks for emerging renewable technologies.

Odontogenic keratocysts (OKCs) are benign yet locally aggressive cystic lesions derived from the dental lamina or its remnants. Predominantly found in the mandible, OKCs often present as asymptomatic radiolucent lesions, occasionally causing symptoms such as swelling and pain. Radiographically, they appear as well-defined, unilocular or multilocular lesions with smooth borders. Microscopically, OKCs feature a thin, parakeratinized epithelium with a high mitotic index, contributing to their aggressive behavior. Treatment typically involves surgical enucleation or resection, with careful attention to ensuring complete removal to minimize recurrence. However, recurrence rates remain relatively high, ranging from 25% to 60%, necessitating close postoperative monitoring, particularly in cases associated with nevoid basal cell carcinoma syndrome. A multidisciplinary approach involving oral and maxillofacial surgeons, pathologists, and geneticists may be required, especially in cases of syndromic association. Early detection and management of recurrences are essential for optimal patient outcomes.

The integration of advanced analytics in retail supply chains has transformed operational efficiency, demand forecasting, and risk mitigation. This study examines the impact of predictive analytics, machine learning, and AI-driven risk intelligence on supply chain performance. Using a mixed-methods approach, including case study analysis and statistical modeling, the research highlights key improvements in inventory accuracy, logistics optimization, and fraud detection success rates. Findings indicate that retailers leveraging real-time analytics have experienced a 25-40% increase in supply chain efficiency, with major gains in demand forecasting precision and supplier risk assessments. Despite these advantages, challenges remain, including high implementation costs, data security vulnerabilities, and algorithmic biases. Smaller retailers face significant barriers in adopting AI-powered analytics due to infrastructure limitations and workforce constraints. The study emphasizes the importance of ethical AI governance, cybersecurity protocols, and regulatory compliance in ensuring responsible analytics adoption. Future research should focus on scalable AI frameworks, blockchain-enhanced supply chain security, and quantum computing applications in predictive analytics. The findings underscore the need for a multi-stakeholder approach that integrates technological innovation with ethical considerations to achieve sustainable, transparent, and resilient supply chain ecosystems. This research contributes to the ongoing discourse on data-driven retail transformation, offering strategic insights for industry leaders, policymakers, and researchers in supply chain management.

Background: Rural infrastructure, agro-processing, and decentralized energy systems in the Osmanabad district of Maharashtra utilize a significant quantum of rotating machinery (e.g., centrifugal pumps, turbines, and compressors). Regular mechanical failures and erratic equipment breakdowns in these facilities result in substantial loss of productivity and maintenance problems, which can be particularly challenging in resource-poor settings with limited technical support. Objectives: The purpose of this work is to evaluate the effectiveness of AI-based PdM models in detecting faults and preventing machine malfunctions for rotating machinery. This paper aims to design context-sensitive, affordable, and understandable AI solutions that meet rural deployment requirements, to satisfy fault detection accuracy, maintenance cost savings, and stakeholders' trust. Methods: Employing a concurrent mixed-methods approach, the study integrated 6 weeks of multi-sensor data (vibration, temperature, acoustic signals) collected from five rural machinery sites in Osmanabad, with qualitative interviews with technicians and plant managers. Machine learning algorithms (CNNs, LSTMs, Isolation Forests, hybrid TCN-Autoencoders) were trained and validated under the supervised and unsupervised paradigms. The performance measures were the classification accuracy, mean squared error, and stakeholders' usability rating. Results: The fault detection accuracies were all higher than 95% for all the models. CNNs had the best performance with 99.89% for impeller blade faults, and LSTMs had 98.5% for turbine vibration anomalies. The total maintenance costs were decreased by 31% and the downtime was reduced by up to 70%. Technicians had high trust in AI systems, particularly if they were provided with explainable outputs such as fault heatmaps and predictive dashboards. Conclusions: AI-supported PdM systems are capable of generating impactful improvements in equipment reliability and operational efficiency when co-designed with community stakeholders and adjusted for a rural setting. This study adds to mechanical engineering and equitable AI adoption in underserved areas.

Background: CO₂ emissions related to the production of concrete contribute significantly to the global footprint, resulting in approximately 8% of the total anthropogenic CO₂ output. Even as India races to build its rural infrastructure, districts like Osmanabad, with its pervasive climate vulnerability and construction-induced emissions, must grapple with a potent toxic brew of the two. Carbon-neutral concrete especially through CO₂ mineralization or the use of carbon-capturing additives presents a viable way to decarbonize construction while enhancing the material's properties. Objectives: This study aims to assess the feasibility, environmental impact, and stakeholder opinions regarding carbon-neutral concrete technology in Osmanabad. More specifically, the study explores the possibility of using CO₂ mineralization during curing and locally available carbon-capturing additives to reduce embodied carbon in rural infrastructure projects. Methods: A mixed-methods exploratory design was employed, incorporating semi-structured interviews, field observations, focus groups, and technical performance tasks. The research population consisted of 80 informants: engineers, masons, municipal officers, vendors, and teachers. Thematic analysis of qualitative data was conducted through NVivo, and comparable quantitative indicators, including compressive strength and carbonation depth, were benchmarked across pilot sites. Results: There were improvements in the strength of carbon-neutral mixes of up to 25% higher and 30 to 50% in the carbonation depth than the equivalent conventional concrete. Technical professionals had a high level of stakeholder awareness; however, this was lower among field workers. Obstacles were the healing infrastructure, additional expense, and training deficiencies. Considering the local availability versus cost, fly ash and biochar were identified as potential amendments. Conclusion: Carbon-neutral concrete could be an alternative for climate-resilient construction in Osmanabad. Its scale-up relies on policy and support, regionally specific supply chains, and capacity development. Environment: Through the combination of environmental innovation and rural development, Osmanabad is demonstrative of what low-carbon infrastructure could look like in a resource-stripped context.

Background: Electronic Health Record (EHR) systems have been implemented globally to enhance healthcare delivery. In Saudi Arabia, the adoption of EHRs has rapidly increased in recent years, yet little is known about the experiences of healthcare professionals (HCPs) with EHR implementation in this context Aim: This qualitative study aims to explore the experiences of HCPs in Saudi Arabia before and after the implementation of EHR systems, with a focus on understanding the challenges and benefits associated with this transition. Methods: Semi-structured interviews were conducted with a purposive sample of HCPs from various healthcare settings across Saudi Arabia. Interviews were audio-recorded, transcribed verbatim, and analyzed using thematic analysis to identify patterns and themes related to HCPs' experiences with EHR implementation. Results: Analysis of the interviews revealed several key themes related to HCPs' experiences before and after EHR implementation. Before implementation, HCPs expressed concerns about workflow disruptions, technical challenges, and resistance to change. However, after implementation, many HCPs reported improvements in information accessibility, care coordination, and patient outcomes. Despite these benefits, challenges such as increased documentation burden and decreased face-to-face interaction with patients were also identified. Conclusion: The findings of this study highlight the complex and multifaceted nature of EHR implementation in Saudi Arabia. While the transition to EHRs presents both challenges and opportunities for HCPs, it is crucial to address concerns related to workflow optimization, training, and support to ensure successful implementation and maximize the benefits of EHRs in improving healthcare delivery in the Saudi context.

This research depicts the inspirational role of Sitti Raihanun Zainuddin Abdul Madjid in pioneering the largest Islamic educational institution in Lombok, West Nusa Tenggara (NTB). The objective of this study is to comprehend the contributions of this female religious scholar in developing the Islamic educational institution and providing insights into the progress of Islamic education in Eastern Indonesia. The research employs a case study method to deepen the understanding of Sitti Raihanun's journey in establishing the educational institution. Data are gathered through the analysis of various relevant sources, including literature, articles, and documentation on Islamic education in NTB. The data analysis technique involves synthesizing information to illustrate Sitti Raihanun's contributions in initiating and advancing the educational institution. The research findings indicate that Sitti Raihanun has laid a strong foundation for Islamic education in Lombok, employing an inclusive approach that engages the local community. The implications of this research are to inspire and guide the development of Islamic educational institutions in the Eastern Indonesia region, while recognizing the role of female religious scholars in advancing local Islamic education.

Background: Myocardial infarction (MI) is a common emergency department (ED) and coronary care unit (CCU) presentation globally. The purpose of this investigation was to determine the prevalent pattern and clinical presentation of STEMI type among Sudanese patients in the state of Northern Kordofan (rural population). Methodology: This is a descriptive study conducted at Coronary Care Unit (CCU) at El-Obeid Teaching hospital in El-Obeid city, North Kordofan State, Sudan. The study included a full coverage of patients admitted with clinical diagnosis of STEMI, during the period from Nov 2018 to March 29, 2022. Besides initial presenting symptoms, the diagnosis and STEMI categorization based on the ECG findings. Results: Only 141 of the 174 patients admitted to our facility had comprehensive patient identification information. The majority of patients had an anterior presentation, followed by anteroseptal, inferior, anterolateral, septal, and inferolateral, with proportions of 46/141 (32.6%), 32/141 (22.7%), 29/141 (20.4%), 26/141 (18.4%), 7/141 (5.0%), and 1/141 (0.7%), respectively. Only 32/141 (22%) of the 141 individuals presented within 12 hours of their initial chest discomfort. Approximately 59 out of 141 (41.8%) patients presented themselves after 72 hours had passed. Streptokinase was administered to about 40 individuals, and 12 of them (30%) presented after 12 hours. Conclusion: STEM is prevalent in rural Sudan, with an increasing prevalence of anterior type. The majority of patients presented late in response to their initial chest discomfort, which can lead to unfavorable or poor outcomes. Health education regarding MI is considered essential in rural communities.

Aim-The aim of minimally invasive biological treatment in endodontics is to effectively manage pulpal and Peri apical pathologies while preserving tooth structure, promoting healing, and enhancing patient comfort. Minimally invasive biological treatment in endodontics represents a contemporary approach expected at preserving tooth structure, promoting healing, and enhancing patient comfort. This treatment philosophy emphasizes conservative interventions that minimize trauma to the tooth and surrounding tissues while harnessing the body's natural healing mechanisms. Key principles include selective removal of diseased tissue, biocompatible disinfection, gentle instrumentation, and the use of biomimetic materials for obturation. By adhering to these principles, clinicians can achieve successful outcomes while preserving tooth vitality and promoting long-term dental health. This abstract explores the principles, techniques, and clinical considerations associated with minimally invasive biological treatment in endodontic, highlighting its benefits for both patients and practitioners.

Introduction: Cancer remains a significant public health challenge globally, with varying prevalence and characteristics across different regions. This study aimed to analyze the prevalence and characteristics of cancer, with a particular focus on ovarian cancer, at Khwaja Yunus Ali Medical College & Hospital in Bangladesh. Methods: This retrospective study reviewed hospital records from January 2021 to August 2022, encompassing 6,785 cancer diagnoses of various types and affecting both genders. The study focused on the prevalence and characteristics of these cancers, particularly ovarian cancer, among female patients. Data on gender distribution, age distribution, and histological types of ovarian cancer were analyzed using descriptive statistics and comparative analyses. Result: The study revealed a nearly equal gender distribution among cancer patients, with females slightly outnumbering males (50.49% vs. 49.51%). Among the 3,426 female cancer patients, 3.24% were diagnosed with ovarian cancer. Within the gynecology ward subset (n=878), ovarian cancer accounted for 5.35% of cases. The age distribution of ovarian cancer patients ranged from 8 to 67 years, with a higher incidence in the 31-50 years age group. Histologically, Serous Cystadenoma was the most prevalent type of ovarian cancer (58.56%), followed by Teratoma (25.23%) and Endometrioid (16.22%). Conclusion: The study provides a comprehensive overview of cancer prevalence in Bangladesh, highlighting the significant presence of ovarian cancer among women, especially in their most productive years. The findings emphasize the need for early screening, awareness programs, and personalized treatment strategies, contributing valuable insights for healthcare policy and oncology research in low- and middle-income countries.

In the modern organizational landscape, information technology plays a pivotal role in shaping business processes. The increasing reliance on IT necessitates a focus on the confidentiality, availability, and integrity of both enterprise and customer data, making information security a paramount concern. This study delves into the challenges faced by Small and Medium-sized Enterprises (SMEs) in Fort Portal Central Division during their information security governance efforts, highlighting issues such as limited resources, budget constraints, time limitations, and a lack of expertise in drafting and ensuring compliance with security policies. To address these challenges, a comprehensive framework for improving Information Security Governance in SMEs was developed and evaluated. Primary data were collected from 351 respondents, including Proprietors, Directors, CEOs, Managers, and operations personnel, shedding light on the specific hurdles faced by SMEs. The proposed framework underwent rigorous evaluation based on design science parameters, demonstrating efficiency and usability. The results of the evaluation revealed that the developed framework effectively addressed the identified challenges, fulfilling the study's objective. The study recommends SMEs in Fort Portal City to implement the framework to enhance their Information Security Governance efforts. Additionally, policy makers in Uganda, including the National Information Technology Authority Uganda (NITA-U) and Uganda Investments Authority (UIA), can leverage the designed framework to make informed decisions regarding SMEs and information security management and governance. This research contributes valuable insights to the broader discourse on information security governance in SMEs, particularly within the context of Fort Portal City.

Manufar wannan bincike ita ce nazarin ƙwaƙƙwafi domin gano nau’ukan tasirin da addinin Musulunci ya yi wa al’adun Hausawa na mutuwa. An yi amfani da dabarun sanya ido da nazartar kundatattun rubuce-rubuce domin tattara bayanai. An ɗora aikin kan fahimtar Hausawa ta “idan mai wuri ya zo, mai tabarma sai ya naɗe.” Sakamakon binciken ya gano cewa, tasirin Musuluncin bai kawar da dukkannin al’adun Hausawa na mutuwa ba. A maimakon haka, lamarin ya kasu gida huɗu, inda aka samu al’adun mutuwa (i) amintattu da (ii) gyararru da (iii) korarru da (iv) sauyayyu da (v) 'yan kunnen ƙashi. Daga ƙarshe binciken ya nuna dacewar nazartar dalilan da suke sa ake ci gaba da riƙo da waɗansu daga cikin al’adun mutuwa har ya zuwa yau, ƙarni na ashirin da ɗaya (Ƙ21).

Socio-political crisis tends to push students out of their communities causing them to seek for safer sanctuaries elsewhere but a good number of them still do not want to move out despite the unscrupulous happenings. Understanding how students extenuate coping strategies in such unbecoming atmospheres becomes pivotal. The crisis in the North West Region of Cameroon has propelled non-displaced students to venture in new life styles in order to acquire education amidst crisis without being repulsive. It is against this premise that this study sets out to investigate students’ resilient strategies within the current crisis in the North West Region of Cameroon. Data for the study was amassed from secondary and primary sources. The secondary sources involved soft and hard copies of both published and unpublished documents while primary data was gleaned from field interviews and observation. With the help of snowball sampling technique, 40 interviews’ guides were administered in some sampled Divisions of the North West Region of Cameroon. Extra data was gotten through direct observations and focus groups discussions. Results revealed that, for non-displaced students to effectively negotiate and obtain secured education amidst crisis; community-based learning centers were created, religious convictions was used as a mechanism for confronting insecurity, adjustment in school institutional cultures, Shifting paradigms in disciplinary practices/majors in schools and adaptability potentials towards food insecurity in the crisis zones.

In the context of digital transformation and the impact of the current market economy, building a school culture is crucial to the quality and humanity of education. Building a school culture is currently facing many difficulties. To solve these difficulties, promoting the Vietnamese cultural value system in building school culture content has theoretical and practical significance. Based on using methods of analysis, synthesis, systematization, and generalization of relevant documents on the Vietnamese cultural value system (ethnicity, humanity, democracy, science - according to Resolution 33-NQ/TW of the 9th Meeting of the Party Central Committee of the 11th tenure on building and developing Vietnamese society and people meeting the demand for national sustainable development) and school culture; The article analyzes the role of the Vietnamese cultural value system in building school culture in our country today, including the fundamental tasks: The Vietnamese cultural value system is the foundation for culture school; orientation for building school culture; protect and strengthen school culture in the direction of humanity, tradition, and modernity; through the school culture of educating the young generation in Vietnam.

In modern healthcare, collaboration between different disciplines is imperative for delivering comprehensive and patient-centered care. This paper explores the significance of collaborative efforts between dentistry and nursing in patient care. Recognizing the interconnectedness of oral and systemic health, nurses play a vital role in promoting oral health within their scope of practice. Collaboration between dentists and nurses in clinical settings can significantly enhance patient outcomes, with nurses assisting patients in oral care and serving as advocates for their oral health needs. Inter professional education and training are essential to prepare future healthcare professionals for collaborative practice. Despite barriers such as limited awareness and communication gaps, addressing these challenges can lead to improved patient care. Embracing a collaborative approach between dentistry and nursing holds promise for enhancing patient well-being and preventing disease across the lifespan.