The Al-Muhajirin Balongsari Mosque in Surabaya still faces obstacles in managing information and finances because administrative processes are carried out manually, which can potentially lead to recording errors, loss of archives, delays in information delivery, and limited access for worshippers to activity and financial data. This study intends to design and develop a web-based Mosque Management Information System to facilitate integrated data management. The system development employs the Rapid Application Development (RAD) methodology to ensure a swift, iterative process aligned with user requirements. The proposed system includes management of agendas/activities, income, expenses, donations/transfers, transaction categories, galleries, and reporting, with access rights based on user roles: admin, officer, and congregation. The system architecture is depicted using Data Flow Diagrams (DFDs), Entity-Relationship Diagrams (ERDs), Conceptual Data Models (CDMs), and Physical Data Models (PDMs) to ensure data connectivity and transaction fidelity. The implementation results indicate that administrators can oversee officer and category data and generate reports; officers can enter transactions, verify transfers, manage agendas and galleries, and compile reports; while congregants can access activity information, prayer schedules, financial data, and donation services online. Based on functional testing of the administrator, officer, and user modules, the main features run as expected and produce valid outputs, indicating the system is capable of improving the efficiency, transparency, accountability, and accessibility of administrative management and the delivery of mosque information to congregants.

With the rapid development of digitalization, university libraries find themselves under great pressure in adapting to data management, whereas traditional management has limitations in meeting personalized needs for information. This study constructs a knowledge graph-based intelligent data management and information innovation service model for university library systems, which adopts a hierarchical design philosophy encompassing five core layers: data source layer, data processing layer, knowledge construction layer, service application layer, and user interaction layer. By integrating multi-source heterogeneous data resources and establishing a unified knowledge representation framework, the model facilitates semantic organization as well as automatic management of library information. The model employs dynamic fusion methods combining large language models and graph embedding to address heterogeneous data integration challenges, while leveraging knowledge graph semantic association capabilities to provide precise personalized information recommendation services. A systematic evaluation conducted for a period of six months shows that score for an user experience is 4.40, pointing to an improvement of 45.2% from 3.03, with accuracy in search results increasing by 41.1%, as well as enhancement of service quality and learning effectiveness by 32.5% and 41.7% respectively, and all 16 technical indexes having met and exceeded set standards. This study proposes a realistic solution to help university libraries deal with challenges brought by big data, which also facilitates intelligent service transformation for university libraries.

ABSTRACT Zambia has witnessed a surge in teenage pregnancies at the primary school level since the introduction of the school pregnancy re-entry policy (REP) in 1997, which replaced the expulsion policy, resulting in some stakeholders questioning its worth. A multilevel stakeholder study was conducted in Chongwe, which also included national-level stakeholders through a qualitative study that used in-depth interviews and document analysis. Interviews with 100 participants selected using convenience and purposive sampling methods plus 13 document reviews were conducted. The data were thematically analysed for interviews, and content analysis was used for document analysis. The findings were that pregnancy REP buy-in by stakeholders is compromised by a resource-constrained implementation environment. Therefore, the Kakanda–Sinkala framework proposes political will, public awareness, stakeholder engagement, monitoring through an interlinked management information system and periodic reviews to enhance efficiency and effectiveness in its implementation.

Background Intraoperative hypotension (IOH) is a common hemodynamic disturbance during major non-cardiac surgery, yet the prognostic significance of different temporal blood pressure patterns remains unclear. This study aimed to identify distinct IOH trajectories using group-based trajectory modeling (GBTM) and to evaluate their independent and incremental predictive value for major postoperative complications in high-risk surgical patients. Methods We conducted a retrospective cohort study of 789 adults undergoing elective major abdominal, urologic, or gynecologic surgery between January 2018 and December 2023. Continuous invasive minute-by-minute mean arterial pressure (MAP) recordings were extracted from the anesthesia information management system. IOH was defined as MAP <65 mmHg. GBTM modeled MAP over absolute intraoperative time using polynomial time functions to identify three latent IOH trajectories based on duration and recurrence: transient mild (<10 min), moderate sustained (10–30 min), and prolonged/fluctuating (>30 min or ≥3 episodes). The primary composite outcome included acute kidney injury, postoperative delirium, unplanned ICU admission within 48 h, and 30-day all-cause mortality. Associations were examined using multivariable logistic regression, and predictive performance was evaluated using ROC curves, calibration, bootstrap internal validation, and decision curve analysis. Results A clear exposure-response relationship was observed across trajectory groups: the primary composite complication occurred in 13.4% of patients in the transient mild group, 20.8% in the moderate sustained group, and 30.7% in the prolonged/fluctuating group (p for trend <0.001). Compared with transient mild hypotension, adjusted odds ratios were 1.58 (95% CI 1.03–2.43) for moderate sustained and 2.42 (95% CI 1.54–3.80) for prolonged/fluctuating trajectories. Incorporating trajectory classification into a clinical model markedly improved discrimination (AUC 0.860 vs. 0.578), calibration, and net clinical benefit compared with conventional IOH measures alone. Conclusion Distinct intraoperative hypotension trajectories derived from high-resolution arterial pressure data were strongly and independently associated with major postoperative complications and substantially enhanced predictive accuracy beyond standard IOH metrics. Trajectory-based hemodynamic profiling may support individualized blood pressure management and early perioperative risk stratification.

The present study examines gaps in training and the use of digital technologies in university teaching practice, with the aim of identifying the level of mastery of essential technological competencies for academic performance. A quantitative approach was adopted, using a non-experimental, descriptive, cross-sectional design, through the administration of a questionnaire to a sample of faculty members from the Pontificia Universidad Católica Madre y Maestra (PUCMM). The sample was predominantly female and showed a diverse disciplinary distribution, with a predominance of faculty from the fields of Law and Education. The analysis included dimensions related to computer use, basic computer literacy, operating system management, learning of specific software, educational use of social networks, device protection, and digital information management.

Background: The rapid digital transformation in logistics requires the adaptation of transport companies to electronic information management, particularly through the implementation of electronic consignment notes (e-CMR). This study examines how the digitization of transport documentation affects the competitiveness, operational efficiency, and environmental performance of road freight transport companies. Methods: A questionnaire survey was conducted among Slovak and Czech carriers to analyze their experience and readiness for adopting e-CMR. The collected data were evaluated using descriptive and comparative methods to quantify economic and ecological impacts, focusing mainly on invoicing efficiency and paper consumption. Results: The results show that only a small share of carriers currently use e-CMR, primarily due to high software costs and the lack of partner participation. Nevertheless, digitization can significantly shorten the average invoicing delay by approximately 11.5 days, releasing around 7% of tied-up working capital and improving cash flow. From an environmental perspective, the replacement of paper CMR forms could save millions of sheets annually, leading to a substantial reduction in CO2 emissions and paper waste within the V4 region. Conclusions: The findings confirm that the adoption of e-CMR improves economic performance, increases transparency, and contributes to sustainability, representing a crucial step toward a more competitive and environmentally responsible road freight transport sector in Europe.

The digitalization of higher education management has increased the importance of Management Information Systems (MIS) as a core tool for evidence-based decision-making. In Uzbekistan, universities actively implement digital platforms; however, the managerial use of data remains uneven and fragmented. This study examines how MIS are used for data-driven management in Uzbek higher education institutions, identifies key barriers to effective implementation, and proposes a management model to enhance MIS-based decision-making. Using a mixed-methods approach combining surveys and case studies, the research reveals that while basic data collection systems are widely adopted, analytical and strategic use of MIS outputs remains limited. The findings contribute to the development of data-driven governance in higher education management.

The global rise of non-communicable diseases (NCDs) presents an urgent public health challenge, particularly in regions undergoing rapid economic and demographic transitions. Guangdong Province, China's most populous and economically advanced region, is experiencing a substantial and accelerating burden of NCDs. However, large-scale, population-based cohorts from this region remain scarce, limiting insights into region-specific disease determinants and prevention strategies. The Guangdong Biobank Cohort (GDBC) was established in 2017, enrolling 35,081 participants aged 40-84 years from urban and rural areas of Zhongshan City in the Pearl River Delta. At baseline, comprehensive data on 346 variables-including lifestyle, environmental exposures, medical histories, physical examinations, and laboratory profiles-were collected via a cloud-based member management information system (MMIS), alongside blood and saliva samples for biobanking. A sub-cohort underwent genome-wide genotyping (N = 2,530) and oral microbiome profiling via 16S rRNA sequencing (N = 2,049). During dynamic follow-up, 44.2% (N = 15,499) completed Phase I resurvey with repeated measurements and updated biospecimens. Disease outcomes, including hypertension, diabetes, and cancer, were ascertained through active surveillance and regional registry linkage until December 2023. Baseline prevalence of hypertension, diabetes, and cancer was 25.3%, 8.0%, and 3.6%, respectively. Over follow-up, 1,767 hypertension cases, 814 diabetes cases, and 558 cancers were recorded, yielding crude incidence rates of 1,804.6, 649.7, and 423.1 per 100,000 person-years, respectively. The GDBC provides a comprehensive, dynamically updated resource to dissect gene-microbiome-environment interactions and develop precision prevention strategies to inform public health policies.

The utilization of information technology in academic management continues to evolve to support the efficiency and quality of higher education services. In the Information Systems Study Program at UNHI, the thesis supervision process is still conducted through several separate platforms, such as Google Forms and messaging applications, which leaves room for improvement in terms of effectiveness through a unified system that integrates the entire process. This study aims to design and develop a web-based Thesis Supervision Management Information System (SIMBISA) to facilitate a more structured and efficient supervision process. The system was developed using the waterfall method and the CodeIgniter 4 framework, while system testing was conducted using the blackbox testing method. The development results show that SIMBISA is capable of facilitating the submission of research topics, supervision scheduling, revision uploads, and the submission of proposal and thesis documents in an organized and well-documented manner. In addition, the system provides easy access to information for students and supervisors to monitor supervision progress. Blackbox testing results indicate that all features function according to user needs, making the system effective in supporting a comprehensive and integrated thesis supervision process. With the implementation of SIMBISA, thesis supervision management is expected to become more systematic, accountable, and accessible at any time throughout the process.

This study aims to analyze the role of hardware innovation in strengthening the Management Information System (MIS) at Bank Syariah Indonesia (BSI) after the merger. The background of this study addresses the challenges of integrating hardware infrastructure from three former banks, which initially caused several system disruptions affecting digital service stability and customer trust. This research employed a qualitative descriptive method with a literature review approach, utilizing scientific articles, official reports, and other relevant sources related to digital transformation in Islamic banking. The results show that hardware innovations, such as increasing server capacity, optimizing data centers, strengthening cybersecurity networks, and upgrading operational devices, significantly contribute to improving MIS performance, particularly in transaction speed, operational efficiency, and data security. The study concludes that strengthening hardware infrastructure is a strategic factor in supporting the success of BSI’s digital transformation. Future research is recommended to involve primary data through interviews or direct observation within BSI to obtain a more in-depth and comprehensive analysis.

IntroductionStroke is a leading cause of death and disability worldwide. In Ghana, national estimates show a prevalence of 7.9% and an incidence rate of 1.2%, placing a significant burden on the health system. This study aimed to estimate in-hospital survival rates and identify predictors of mortality among stroke patients admitted to Tamale Teaching Hospital (TTH).MethodsA retrospective electronic medical records review was conducted using data from the Lightwave Health Information Management System (LHIMS) and patients’ registry from January 1 2021 to December 31 2023. Kaplan-Meier survival curve was used to determine the survival rate of stroke patients (mean follow-up: 67 days). Cox proportional hazard regression determined the association between risk factors and survival time. Crude and adjusted hazard ratios with 95% confidence intervals were presented. A p-value of 0.05 was considered statistically significant.ResultsA total of 998 stroke patients were included, of which 39.4% died. The overall survival rate was 21% at the end of follow-up (182 days). The survival probability for female stroke patients was lower compared to males. Female sex (AHR = 1.33, 95% CI: 1.07–1.65), Dagomba ethnicity (AHR = 1.31, 95% CI: 1.05–1.62), pneumonia (AHR = 1.59, 95% CI: 1.27–1.97), diabetes mellitus (AHR = 0.62, 95% CI: 0.47–0.82), systolic blood pressure ≥ 130 mmHg (AHR = 1.35, 95% CI: 1.06–1.73), and temperature ≥ 37.5°C (AHR = 1.79, 95% CI: 1.37–2.33) were predictors of mortality.ConclusionFemale stroke patients experienced higher mortality and lower survival compared to males. The identified mortality predictors underscore the importance of focused interventions to enhance survival outcomes at TTH. Given the retrospective design and possible unmeasured confounders, the lower mortality risk among diabetic patients should be interpreted with caution, and prospective studies are warranted to confirm these associations.

Effect of Surgical Specimen Chain Management Information System on specimen management in operating room: a pilot Quasi-Experimental study.

The accounting information system is an important channel of the management information system, performing the functions of receiving and processing financial operations, analyzing and providing financial information to users for business decision making. This study employs qualitative research methods to identify factors affecting the organization of accounting information systems in the context of information technology application in Vietnamese economic groups. Data were collected from more than 120 survey questionnaires, of which 99 valid responses were used for analysis. Based on the research findings, this study proposes several recommendations to improve the organization of accounting information systems in Vietnamese economic groups.

Primary health care facilities such as Community Health Centers (Puskesmas) still face challenges of inefficiency and the risk of human error due to manual data collection processes. This study aims to develop and implement a web-based Community Health Center Management Information System (SIM-PUSKESMAS) in Karang Anyer to improve service efficiency and accuracy. The study used a Research and Development (R&D) approach. The system design was carried out through Unified Modeling Language (UML) modeling, and the system implementation used web-based PHP and MySQL technologies in the XAMPP environment. The results showed the successful implementation of SIM-PUSKESMAS with role-based access rights (Admin, Doctor, Pharmacist, Patient). The main functional pages developed include Queue Management, SOAP-based Medical Records (Subjective, Objective, Assessment, Plan), Pharmacy Management, and Reports/Referrals. Comparison with conventional systems shows that this digital system significantly improves the speed of service and the accuracy of clinical data. It can be concluded that SIM-PUSKESMAS Karang Anyer is effective in ensuring data integrity, supporting better governance through instant reporting, and is a concrete step towards the digitalization of sustainable and quality health services.

Pasture resilience: phenological patterns and critical thresholds in the face of climate change.

Tramadol is a widely used analgesic with a unique dual mechanism of action, combining weak μ-opioid receptor agonism with inhibition of norepinephrine and serotonin reuptake. It is frequently prescribed for various acute and chronic pain conditions. Evaluating prescribing trends can provide valuable insight into clinical practice patterns and inform institutional pain management strategies and policy development. To assess tramadol prescribing patterns over a one-year period in a university-based health system and compare them to overall opioid prescribing. A retrospective review was conducted using electronic medical record (EMR) data from January 1, 2024, to December 31, 2024. The number of tramadol prescriptions was quantified quarterly and compared to the total number of opioid prescriptions (including tramadol) during the same period. No identifiable patient information was collected. A total of 17,660 tramadol prescriptions were written in 2024. Quarterly breakdowns were: Q1 - 4,347; Q2 - 4,382; Q3 - 4,369; Q4 - 4,562. Overall, tramadol prescriptions accounted for 25.9% of the 68,212 total opioid prescriptions written during the year. Tramadol constituted over one-quarter of all opioid prescriptions in this academic medical center. Prescribing remained stable across all quarters, with a slight increase observed in Q4. These findings highlight tramadol's significant role in opioid prescribing practices for acute and chronic pain management.

Digital Health Interventions (DHIs) refer to discrete technological functionalities designed to achieve specific objectives in addressing health system challenges. These interventions are considered tools for strengthening health systems, particularly in low- and middle-income countries. This study consolidates findings from Ethiopia, Ghana, and Zimbabwe, examining how three distinct digital health applications with varying intervention components implemented in primary healthcare settings contribute to health system strengthening. The interventions analyzed include Ethiopia’s District Health Information System 2 (DHIS2), Ghana’s District Health Information Management System (DHIMS) and the Lightwave Health Information Management System (LHIMS), and Zimbabwe’s Impilo Electronic Health Record (E-HR) system. In Ethiopia, DHIS2 enhanced health system accountability and data quality by streamlining district-level data aggregation, reporting, and performance monitoring. This led to more informed decision-making and improved resource distribution. In Ghana, DHIMSs functions as a public health-level DHI, facilitating national data-driven performance monitoring, while LHIMS operates at the patient level, supporting patient tracking and management, improving patient workflows and resource tracking. However, a lack of interoperability between these two systems has led to data duplication challenges. Zimbabwe’s Impilo E-HR, a patient-level DHI, has streamlined clinical workflows, improved information sharing, and enhanced decision-making at the point of care. Despite these successes, challenges persist across the three contexts: infrastructure limitations, high staff turnover, and insufficient user technical capacity. Interoperability issues, particularly in Ghana and Ethiopia, hinder seamless data exchange, while sustainability concerns such as funding gaps and inadequate government support undermine the systems’ full potential. The study findings demonstrate that investments in DHIs in primary healthcare may not result in health systems strengthening without addressing baseline conditions for their implementation and sustainability.

The study examined assessing the awareness and use of ICT tools among university students in Nigeria: Implications for digital literacy. ICT tools in the case of higher education denote a vast array of technological tools utilized in communication, creation, dissemination, storage, and management of information. The research design used was a descriptive survey research. The study population consisted of undergraduate students in the Nigerian universities. Currently, according to the National Universities Commission (NUC) data, more than 2.3 million undergraduates study at 43 federal universities, 48 state universities, and 79 private universities of the country. A sample population of 585 respondents was picked out of an estimated population of 656 qualified students who had undergone or had access to institutional ICT facilities in the chosen universities, or participated in ICT-related courses. The findings indicate that ICT use in communication, internet use, and social networking were highly used by students and academic ICT use was less prevalent (data analysis, reference management, and e-library access). The results have wide implications on the development of digital-literacy in universities in Nigeria. The study concluded that ICT awareness among the Nigerian university students is high, but not evenly distributed among the institutions. Most students are conversant with the general ICT tools yet they have inadequate skills on academic-specific technologies that are vital in academics interaction. It was recommended that ICT cannot be isolated to be taught in computer science departments but it must be mainstreamed to all courses. The course evaluation may incorporate the Internet-based elements, online portfolios or e-projects submission to promote active ICT use.

Information management is key to knowledge management and innovation processes and extremely important for decision-making and process improvement, hence its importance in educational centres. As part of universities, university residences are centres that provide accommodation for university students. Their aim is to provide the university community with basic comfort and the necessary facilities to enhance their studies and work, playing an important role in the educational, political and ideological work of their members. This generates a large amount of information, the readability, security and maintenance of which is not always possible. Therefore, the objective is to develop the information architecture for process management in the UCM Pinar del Río Student Residence. The technological innovation research was carried out following the software development methodology for Extreme Programming and applying theoretical and empirical methods for the analysis, review and modelling of the processes to be computerised. As a result, all objects were designed with their respective attributes, which made it possible to bring together all the information handled in the residence. In general, a computer prototype was developed that will allow all information related to control in the student residence of the University of Medical Sciences to be grouped together, thus providing consultation services in a fast and efficient manner.

This study systematizes theoretical and empirical evidence on the integration of technological models and Project-Based Learning (PBL) in higher education, analyzing their impact on the development of informational skills. Through a review, key principles for effective implementation were identified: analogical deduction, logical consistency, systemic character, and operational simplicity. The results reveal that technology-enhanced PBL significantly improves critical thinking, collaboration, and information management. However, contextual gaps persist, underscoring the need for local adaptations. The study proposes an action framework for educators and highlights the urgency of integrating AI tools into PBL methodologies to address scalability challenges.