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Objectives This study aimed to evaluate the performance of vaccine logistics management information systems at public health facilities in Amhara Region, Ethiopia. Methods An institution-based concurrent explanatory mixed design was used at public health facilities in Amhara Region, Ethiopia. In total, 102 health facilities were selected using the multi-stage, stratified, random-sampling proportionate-to-size method. Data were collected using a structured data abstraction checklist from vaccine logistics management information system records. Additionally, experiences of Expanded Program for Immunization focal persons were gathered through interviewer-administered questionnaires. Results Among the 102 health facilities surveyed, 99 (97.1%) provided vaccination services during the study period. On the day of the visit, the average availability and utilization rates of 15 vaccine logistics management information system forms were 44.1% and 40.5%, respectively. The mean inventory accuracy for tracer vaccines stood at 58.3% ± 45.1%. The overall average accuracy percentages for urban and rural vaccine request form reports were 73.4% and 69.6%, respectively. Conclusions The performance of vaccine logistics management information systems in these public health facilities was suboptimal. Key issues identified include inconsistent use of recording forms, shortages of reporting forms, lack of digitalization, poor data quality, and a shortage of qualified staff. These findings underscore the urgent need for standardization of the vaccine logistics management information system and enhancement of data quality.

The study aimed to systematically analyze published articles on the challenges, impacts, and prospects of the global health commodities' supply chain in the era of the COVID-19 pandemic. Methods: A standard searching strategy was conducted in seven research databases to retrieve pertinent articles. Finally, 459 articles were retrieved for further screening, and only 13 articles were selected for final synthesis. Results: Almost 38.5% of the studies targeted the supply chain of health commodities used to treat HIV, TB, and malaria. Lockdown policies, travel restrictions, lack of transportation, low manufacturing capacity, and rising costs were the significant challenges indicated for the supply interruption of essential health commodities and COVID-19 vaccines. Findings indicated that the supply interruption of essential health commodities leads to a devastating impact on global health. Conclusion: Global medicine shortages due to the pandemic crisis can have a devastatingly harmful impact on patient outcomes and might result in a devastatingly long-lasting effect on the health of the world community. Supply-related challenges of the COVID-19 vaccine affect countries' ambitions for achieving herd immunity quickly. Monitoring the pandemic's effect on the health commodities' supply system and designing a short-term and long-term resilient health supply chain system that can cope with current and future health catastrophes is pivotal. [ABSTRACT FROM AUTHOR]

Abstract Background Breast cancer represents a significant public health concern in India, accounting for 28% of all cancer diagnoses and imposing a substantial economic burden. This study introduces a novel approach to forecasting the number of breast cancer cases (based on prevalence rates) and estimating the associated economic impact in India using the autoregressive integrated moving average (ARIMA) model. Methods Data on the prevalence of breast cancer in India from 2000 to 2021 were obtained from the Global Burden of Disease (GBD) database. This dataset provided annual estimates of the number of patients with breast cancer, serving as the basis for modeling future prevalence and estimating the economic burden. The ARIMA (Auto-Regressive Integrated Moving Average) model was employed to analyze and predict breast cancer prevalence in India up to the year 2030 (time-series forecasting). Data were visualized and checked for stationarity using the Augmented Dickey-Fuller (ADF) test. Using the autocorrelation function (ACF) and partial autocorrelation function (PACF) plots, the appropriate parameters (p, d, q) were determined. Several ARIMA configurations were tested to identify the model with the best fit. The goodness-of-fit of the model was assessed using standard metrics such as the Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC). The residuals were tested using the Box-Ljung test to confirm the absence of autocorrelation and verify that they followed a white noise distribution. Using the fitted ARIMA model, prevalence rates were forecasted from 2022 to 2030, with 95% confidence intervals to capture prediction uncertainty. Direct costs were calculated based on medical expenses for breast cancer patients, such as hospital visits, diagnostic tests, treatment costs, and follow-up care. A bottom-up approach was applied, which involves aggregating individual cost components from each stage of care to estimate the total direct burden of disease. A bottom-up approach was applied, which involves aggregating individual cost components from each stage of care to estimate the total direct burden of disease. Indirect costs were estimated using the human capital approach, which assesses productivity losses due to morbidity and premature mortality. The Disability-Adjusted Life Years (DALY) associated with breast cancer were also predicted using the ARIMA model. Results The results of coefficient of determination (0.99), mean absolute percentage error (69%), mean absolute error (5229), and root mean squared error (6451.2) showed that the ARIMA (0,2,0) model fitted well. Coefficient of determination (0.99) indicated that 99% of the variance in the data was explained by the model. Akaike information criterion (411.54) and Bayesian information criterion (412.53) indicated the ARIMA (0,2,0) model was reliable when analysing our data. The result of the relative error of prediction (2.76%) also suggested that the model predicted well. The number of patients with breast cancer from 2021 to 2030 was predicted to be about 1.25 million, 1.1.29 million,, 1.34 million, 1.39 million, 1.44 million, 1.48 million, 1.53 million, 1.58 million, 1.63 million, 1.68 million, and respectively. The total economic burden of breast cancer from 2021 to 2030 was estimated to be $8 billion, $8.72 billion, $9.05 billion, $9.84 billion, $10.20 billion, $11.07 billion, $11.49 billion, $12.44 billion, $12.91 billion, $13.95 billion, respectively is estimated to rise significantly. Conclusion Breast cancer prevalence and its economic impact are projected to grow substantially in India. Between 2021 and 2030, the number of breast cancer patients is expected to increase by approximately 0.05 million annually, with an annual increase rate of about 5.6%. The associated economic burden will also rise, averaging an additional $19.55 billion per year, underscoring the need for intensified healthcare and economic strategies to manage this growing challenge.

Cardiovascular diseases (CVDs) are the leading cause of death globally and the prevention and control of these diseases tend to entail longer and larger social and economic commitments on the part of governments. This systematic review (SR) aims to understand the quantum, diversity, and quality of implementation research (IR) done in the field of CVDs in India with a view to maximizing the utility of the efforts made by the government. The evidence was collated on IR on CVDs in India conducted in the past 20 years (2001–2021) using a SR approach. The SR was drafted using Preferred Reporting Items for SRs and Meta-analyses guidelines. Academic databases (PubMed, Embase, and Science Direct) and nonacademic databases (Google Scholar and ProQuest) were chosen, along with repositories of gray literature. Retrieved articles were screened for titles and abstracts and assessed by two independent reviewers. The articles also underwent a concomitant risk of bias assessment utilizing checklists (STARI, STROBE, CONSORT, etc.,) and a narrative summary was drafted using SwiM guidelines. In the final analysis, 10 articles that fitted the inclusion criteria of IR for CVD in India were included, of which seven were directed at IR on hypertension, and three were related to coronary artery disease, myocardial infarction, and stroke. Acceptability, adoption, and feasibility were the only attributes of IR that were explored in these studies.

This paper explores the development of the method of partial fraction decomposition from elementary number theory through calculus to its abstraction in modern algebra. This unusual perspective makes the topic accessible and relevant to readers from high school through seasoned calculus instructors.

Abstract Background Health guideline developers engage with interested people and groups to ensure that guidelines and their recommendations are relevant and useful to those who will be affected by them. These ‘interest‐holders’ include patients, payers/purchasers of health services, payers of health research, peer review editors, product makers, programme managers, policymakers, providers, principal investigators, and the public. The Guidelines International Network (GIN) and McMaster University Guideline Development Checklist describes 146 steps of the guideline process organized into 18 topics. While one topic focuses on engagement, it does not describe how to engage with interest‐holders. In addition, interest‐holder input could be sought throughout the guideline development process. This scoping review is part of a series of four related reviews. The three other reviews address barriers and facilitators to engagement in guideline development, managing conflicts of interest in guideline development, and assessing the impact of interest‐holder engagement on guideline development. The four reviews will inform the development of guidance for multi‐interest‐holder engagement in guideline development; the GIN‐McMaster Guideline Development Checklist Extension for Engagement. Objectives The objective of this scoping review is to identify, describe, and summarise existing guidance and methods for multi‐interest‐holder engagement throughout the health guideline development process. Search Methods We conducted one comprehensive search for studies of engagement in guidelines to meet the inclusion criteria of one or more of the four systematic reviews in this series. We searched MEDLINE (OVID), CINAHL (EBSCO), EMBASE (OVID), PsycInfo (OVID) and SCOPUS databases up to September 2022. We did not include limits for date, study design, or language. We searched websites of agencies and organizations that engage interest‐holder groups, such as the Agency for Healthcare Research and Quality (AHRQ), CIHR Strategy for Patient‐Oriented Research (SPOR), National Institute for Health and Care Research (NIHR) Be Part of Research, Guidelines International Network (G‐I‐N), the National Institute for Health and Care Excellence, and the PatientCentred Outcomes Research Institute (PCORI). We handsearched the websites of guideline producing agencies. We solicited additional grey literature from the members of the MuSE Consortium. Selection Criteria Studies were included in this review if they reported on engagement of any of our identified groups, patients, payers/funders of research, payers/purchasers of health services, policymakers, programme managers, providers, principal investigators/researchers, peer review editors, product makers in the development of a health guideline. Titles and abstracts of identified citations were screened independently, in duplicate. The full text of potentially relevant papers were screened for eligibility into one or more of the four reviews in the series. Screening was done independently, by two reviewers. The team held weekly meetings with all reviewers involved in screening to discuss and resolve conflicts. Data Collection and Analysis Two reviewers extracted relevant data into a pilot‐tested data extraction form using Excel. We used the GIN‐McMaster guideline development checklist as a framework for extracting the available guidance for each of our identified interest‐holder groups throughout the development process. We presented descriptive statistics of the number of papers reporting guidance for each groups across the steps of the guideline process. We synthesized the relevant text using a qualitative meta‐summary approach. Main Results We included 16 papers (from 17 reports). These papers were from Australia, Denmark, the Netherlands, the UK, and the USA, and eight papers were international (countries not specified). The papers provided guidance for at least one of our interest‐holder groups for at least one stage of guideline development. We mapped this guidance to the GIN‐McMaster Guideline Development Checklist to identify the available guidance for each of our interest‐holder groups across all stages of the guideline development process. Guidance was available for patient engagement in 15 of the 16 papers. At least two papers provided guidance for each of the 18 topics of the GIN‐McMaster Guideline Development Checklist. For healthcare providers, 9 papers provided guidance for their engagement across 10 of the 18 guideline development topics. Guidance for engaging with the public was provided for 14 of the 18 topics and reported in 4 of our included papers. For payers/purchasers of health services, policymakers, product makers, programme managers, and principal investigators, 2–3 papers provided guidance for these groups across 4–7 topics of the GIN‐McMaster checklist. We did not identify any specific guidance for payers of health research or for editors of peer‐reviewed journals. Authors' Conclusions Guidance for interst‐holder engagement in guidelines is available but has focused primarily on patients. We will utilize the guidance identified in this scoping review to inform the GIN‐McMaster Guideline Development Checklist Extension for engagement. Combined with the information obtained from the other systematic reviews in this series, we will address the gaps in guidance for the other identified interest‐holder groups.

Lung ischemia-reperfusion injury (IRI), a common complication after lung transplantation (LTx), plays a crucial role in both primary graft dysfunction (PGD) and chronic lung allograft dysfunction (CLAD) thereby adversely impacting the clinical outcomes in these patient cohorts. Lung IRI is characterized by several molecular events including immune cell infiltration, reactive oxygen species (ROS) generation, calcium overload, inflammation and various forms of cell death pathways. Currently, no therapeutic agents are available to clinically prevent lung IRI. While animal and cell culture models are highly valuable in understanding the pathophysiology of lung IRI, they may not completely recapitulate the complexity of human lung tissue pathology. This limitation necessitates the requirement for developing innovative preclinical human research tools that can supplement available scientific modalities. Emerging evidence suggests that precision-cut lung slices (PCLS) have become an indispensable tool in scientific research to study lung biology in an ex vivo tissue system. Recent studies using PCLS have investigated lung diseases including asthma, chronic obstructive pulmonary disease (COPD), and lung cancer. Although PCLS can be successfully employed to determine the deleterious events in the pathogenesis of lung IRI, including cell-cell interactions as well as hallmarks of inflammation and oxidative stress-dependent pathways, detailed studies employing PCLS to decipher these molecular events in post-LTx injury are currently limited. This review focuses on the applicability and unexplored potential of PCLS as a powerful tool in lung IRI research for understanding the pathophysiology and consequent development of new therapeutic modalities.

Abstract Background Cardiovascular disease (CVD) is the leading cause of mortality worldwide, and at present, India has the highest burden of acute coronary syndrome and ST-elevation myocardial infarction (MI). A key reason for poor outcomes is non-adherence to medication. Methods The intervention is a 2 × 2 factorial design trial applying two interventions individually and in combination with 1:1 allocation ratio: (i) ASHA-led medication adherence initiative comprising of home visits and (ii) m-health intervention using reminders and self-reporting of medication use. This design will lead to four potential experimental conditions: (i) ASHA-led intervention, (ii) m-health intervention, (iii) ASHA and m-health intervention combination, (iv) standard of care. The cluster randomized trial has been chosen as it randomizes communities instead of individuals, avoiding contamination between participants. Subcenters are a natural subset of the health system, and they will be considered as the cluster/unit. The factorial cluster randomized controlled trial (cRCT) will also incorporate a nested health economic evaluation to assess the cost-effectiveness and return on investment (ROI) of the interventions on medication adherence among patients with CVDs. The sample size has been calculated to be 393 individuals per arm with 4–5 subcenters in each arm. A process evaluation to understand the effect of the intervention in terms of acceptability, adoption (uptake), appropriateness, costs, feasibility, fidelity, penetration (integration of a practice within a specific setting), and sustainability will be done. Discussion The effect of different types of intervention alone and in combination will be assessed using a cluster randomized design involving 18 subcenter areas. The trial will explore local knowledge and perceptions and empower people by shifting the onus onto themselves for their medication adherence. The proposal is aligned to the WHO-NCD aims of improving the availability of the affordable basic technologies and essential medicines, training the health workforce and strengthening the capacity of at the primary care level, to address the control of NCDs. The proposal also helps expand the use of digital technologies to increase health service access and efficacy for NCD treatment and may help reduce cost of treatment. Trial registration The trial has been registered with the Clinical Trial Registry of India (CTRI), reference number CTRI/2023/10/059095.

Aluminum alloys (Al) produced by fusion-based additive manufacturing techniques exhibit limited strength due to undesirable grain growth, porosity, and thermal gradient. To address these limitations, Scalmalloy (Al–Mg4.6-Sc0.72-Zr0.3 wt%) deposits of 5 mm thickness using helium and nitrogen gases were manufactured using a solid-state cold spray (CS) deposition. The microstructure of these deposits revealed a bimodal distribution of coarse and fine grains in the splat interior and jetting region, respectively, characterized by a higher degree of plastic deformation in the He-deposit. These bimodal grains resulted in a nanohardness of 1.2 GPa in the jetting region, 20% higher than that in the interior. The cumulative effect of these microstructural features resulted in a microhardness of 149 HV in the He-deposit, 1.1 times compared to that in the N2-deposit. The increased hardness is translated to a yield strength of 383 MPa and ultimate strength of 487 MPa in the He-deposit, 1.17 and 1.08 times of N2-deposit, respectively, estimated by Profilometry-based indentation plastometry (PIP). Across the hierarchical layers, profilometry-based indentation plastometry captured a consistent pile-up difference of ∼2 μm in the He-deposit and ∼3 μm in the N2-deposit on the plane perpendicular to build plane, a manifestation of in-plane anisotropy. This study advances the microstructural understanding and its relationship with observed mechanical properties, deformation behavior, and anisotropic response in high-strength Scalmalloy CS deposits.

Background: Human rights provide a universal foundation for pursuing justice in public health in order to achieve the dignity of all individuals. In spite of international attempts to promote human rights in the context of health, a significant portion of India’s indigenous population continues to have a limited understanding of these rights. Objective: This study aims to analyze tribal people’s attitudes towards human rights in health care. The population consists of tribal residents from Manbazar – I and Puncha Blocks in the Puruliya district of West Bengal, India. Tribal young adults between the ages of 18 and 35 were the subject of a cross-sectional study. Methods: A pretested questionnaire was used to collect data. MS Excel and SPSS 27 were used for analysis. A descriptive analysis was carried out. Results: The participants’ mean scores for awareness, accessibility and communication, autonomy and sexual and reproductive health and sexual and reproductive health rights (SRHR) were 8.06, 15.76, 7.35 and 32.52 revealing a moderate perception level among the young adult tribal population in the selected blocks. Conclusion: A holistic focus of the governmental and other non-governmental organizations towards the tribals is required. Introducing various aspects of human rights in healthcare in the education curriculum along with community outreach would by all likelihood improve the perception of ‘Human Rights’ and thus help in better utilization of various services including health among tribal populations in India.

Using continued fraction expansions, we can approximate constants, such as pi and e, using an appropriate integer n raised to the power x[superscript 1/x], x a suitable rational. We review continued fractions and give an algorithm for producing these approximations.

This research aims to reveal the crucial role of subcontractor selection in irrigation projects, which require water resource management to increase agricultural productivity and ensure adequate water availability. The projects are complex, involving designing efficient water distribution systems, constructing structures such as dams, and tight coordination between various stakeholders. The selection of subcontractors significantly impacts the project's success, affecting critical aspects such as time, quality, and cost. This research applies the Weight Product method as a multi-criteria decision-making approach to prioritize these aspects. The advantage of this method lies in its ability to handle multi-criteria decisions systematically. By modeling this method, this research aims to improve the effectiveness and efficiency of subcontractor selection in irrigation projects. The results are expected to provide directional guidance for the dev developing tractor selection applications to improve the quality of project implementation and r quality due to associated risks

Objective: Tribal population in India (8.6% of the total population) have a greater prevalence of tuberculosis compared to the national average. The article aims to study out-of-pocket expenditure (OOPE), hardship financing, and impoverishment effects of TB hospitalisation treatment among tribal populations in India. Methods: Data of three rounds of National Sample Surveys (NSS) 60th (2004–05), 71st (2013–14) and 75th (2017–18) rounds were analyzed. Descriptive statistics, bivariate estimates and multivariate models were performed to calculate the OOPE, healthcare burden (HCB), catastrophic health expenditure (CHE), hardship financing and impoverishment effects using standard definitions at February 2023 price values. Propensity score matching (PSM) was used to examine the effect of health insurance coverage on catastrophic health expenditure, and impoverishment. Results: Over two-thirds of the TB cases are seen in the economically productive age group (14–59 years). Substantial OOPE and its impact on HCB, CHE, and poverty impact observed among 15–35 age group across all three rounds. Illiterate patients and those availing private hospitals for TB treatment had higher OOPE, HCB, hardship financing, CHE, and poverty impact. 38.5% (2014) and 33.2% (2018) are covered with any kind of public healthcare coverage, PSM analysis shows households with health insurance have lower incidence of CHE and impoverishment effects due to TB hospitalisation expenditure. Conclusions: The current study aids in comprehending the patterns in the financial burden of TB on tribal households during the previous 15 years and gives policy makers information for efficient resource allocation management for TB among Indian tribal communities.

Abstract Background Postpartum depression (PPD) is a condition that can affect any woman regardless of ethnicity, age, party, marital status, income, and type of delivery. This condition is highly prevalent worldwide. PPD, if not treated timely, can affect the maternal‐child bond and can have a detrimental impact on the future cognitive, emotional, and behavioral development of the child. Interpersonal psychotherapy (IPT) has been reported as an effective treatment of PPD in previous studies as this focuses on relationship and social support issues. Previous reviews conducted in developed nations have reported the superior efficacy of IPT in comparison to other treatment options. There is no systematic review conducted in low to middle‐income countries on the efficacy of IPT on PPD. Therefore it was necessary to undertake a systematic review to assess the effectiveness of IPT in reducing the depression among postpartum women in low and middle‐income countries (LMICs). Objectives The main aim of this systematic review was to assess the effectiveness of IPT alone or in conjunction with pharmacological therapy and/or other psychological and psychosocial interventions, in reducing depressive symptoms among women diagnosed with PPD residing in LMICs. Search Methods The systematic search encompassed several prominent databases and grey literature. Furthermore, experts specializing in the field of IPT were consulted to identify any relevant studies conducted in LMICs that fulfilled the predetermined eligibility criteria. The most recent search update was performed in July 2022. Selection Criteria The PICOS criteria were meticulously defined for this review as described. Participants: Postpartum women diagnosed with PPD in LMICs were included. Intervention: IPT either as a standalone treatment or in conjunction with pharmacological therapy was included. Comparison: any form of psychological therapy or pharmacological therapy, whether administered individually or in combination, was considered for comparison. Study designs: experimental and quasi‐experimental, factorial designs, and quantitative components (experimental, quasi‐experimental, factorial designs) of mixed methods designs were eligible to be included. Studies with single‐group study designs and qualitative studies were excluded from the review. Data Collection and Analysis Two reviewers from our team conducted a rigorous screening process to determine the eligibility of articles for inclusion. This involved an initial evaluation of titles and abstracts, followed by a comprehensive assessment of the full text of selected articles. In instances where discrepancies arose between the two reviewers, resolution was achieved through discussion or consultation with a third author to establish a consensus. Following the screening process, two team members independently extracted pertinent information and data from the studies that met the inclusion criteria. The treatment effect of the intervention, in comparison to the control group, was subsequently analyzed utilizing the fixed effects model taking into account the small number of studies. Main Results A total of 17,588 studies were identified from various databases, and 6493 duplicate studies were removed. Subsequently, 9380 studies underwent independent title and abstract screening resulting in the exclusion of 9040 studies. 345 full texts were thoroughly assessed leading to the exclusion of 341 studies, finally including 4 studies for review. The four included trials were randomized trials and comprised a total sample size of 188 women diagnosed with PPD residing in LMICs. Among these studies, three compared IPT with usual treatment, while one study compared IPT with antidepressant medications (ADMs). In terms of the providers of IPT, in one study, IPT was administered by nurses, while psychologists delivered IPT in another study. In one study, community health workers were responsible for providing IPT. However, in one study, information regarding the specific providers of IPT was not available or reported. The primary outcome measure reported in all four studies was depression, assessed using the Edinburgh Postnatal Depression Scale (EPDS). The geographical distribution of the studies included; one conducted in Zambia, one in Kenya, one in Pakistan, and one in Iran. Out of the four studies, three were included in the meta‐analysis, as missing data from one study could not be obtained. Based on the overall treatment effect, it was found that depression scores decreased significantly more in the IPT group compared to other interventions (usual treatment or ADMs) (standardized mean difference [SMD] −0.62, 95% confidence interval [CI] (−1.01, −0.23), Z = 3.13 (p = 0.002), χ2 = 49.49; df = 2; p

Background: Tribes are the most socially excluded group in the nation due to their restricted access to healthcare. There are little data on the real burden and distribution of illnesses among tribes. The present study determines the types and patterns of sickness among tribal populations in West Bengal. Methods: Five blocks from five districts in West Bengal were used for this cross-sectional study. Between the years 2018 and 2019, 52,189 patients visited these mobile medical clinics (MMCs), but only 36,128 were included in our study. Data were analyzed using the SPSS software (ver. 27.0). Results: Younger age groups (1-25 years) show higher primary registration compared to other age categories; older age groups (>60 years) show higher repeat registration. High prevalence in infectious diseases (44.5% of the total primary registration) and high repeated cases in NCDs (11.5% to 33.2%), which are nearly three times higher than primary cases (Cramer's V test = 0.29; P = .001) are observed. Among the studied MMCs, Binpur II and Matiali MMC have more than two times the risk of gastrointestinal problems, while Madarihat MMC has more than one time the risk. Garbeta II MMC shows more than three times the risk of NCDs (adjusted odds ratio = 3.97; 95% confidence interval: 3.05-5.17) than the other diseases. Conclusion: The present study shows high prevalence of infectious diseases, injury and pain, NCDs, gastrointestinal problems, and vertigo in tribal populations of West Bengal.

This research presents a novel game theory based model for femtocell power management, engineered to significantly enhance the Signal-to-Interference-plus-Noise Ratio (SINR) while optimizing energy consumption across wireless communication networks. Femtocells, as a solution to the increasing demand for high-quality indoor network coverage, face challenges in power management and interference mitigation. Our proposed model addresses these issues, providing a sophisticated algorithmic approach that ensures high SINR levels without a proportional increase in power usage. Through a series of simulations, the model’s performance was evaluated against existing power management techniques. The results, delineated across several tables, revealed that the proposed model consistently achieved and often surpassed targeted SINR levels with modest power consumption increments, even at high targets. Notably, at a SINR target of 20, the model sustained a high SINR of 23.62 while maintaining a reasonable energy profile. Additionally, the model exhibited exceptional operational efficiency, characterized by low execution times and rapid convergence rates, across varying network conditions. This responsiveness is essential for adapting to user mobility and varying traffic patterns, particularly in dense urban settings and during peak usage periods.

As a dynamic and complex sector, the construction industry is often faced with challenges in managing projects and determining their priorities. In the context of intense business competition and changes in the external environment, this research highlights the importance of developing efficient methods for prioritizing construction projects. The focus is on applying the Weight Product (WP) method, a decision-making framework, to score projects based on cost, time, quality, and risk criteria. The method integrates data collection, analysis, modeling, and ranking. The results identify projects that align with the company's priority objectives, while the systematic steps can provide practical guidance for construction companies in optimizing resource allocation. This research also has the potential to contribute to the literature and practice of the construction industry, as well as be the basis for developing more advanced applications and decision-making methods and priority project selection applications