Purpose This article aims to describe the role of critical discourse analysis and intersectionality in our analysis and interpretation process and expand on the contribution of members of Black communities in the design of data-collection instruments, recruitment and data-collection procedures. We seek to provide readers with an instance on the utilization of critical social inquiry and how to involve members of communities under study in research procedures. Design/methodology/approach In the last few decades, public health research has experienced a shift in its research designs and methods. An increasing number of studies have focused on examining minority populations’ experiences grounded in critical social inquiry and incorporated members of those communities in roles beyond “participant.” Intersectionality, which is both an approach to critical social inquiry and a form of praxis, was the theoretical lens of a critical discourse study on Black communities lived experience with opioid overdose response. Findings This paper draws mainly of three aspects of qualitative inquiry in public health research. First, it shows how to utilize intersectionality and critical discourse analysis in analysis processes of the experiences and narratives of Black communities. It also demonstrates how members of those communities can be involved in different processes of the research process, making public health research more inclusive and culturally responsive. Moreover, it unpacks the multiple elements that interplay in the data analysis workflow. Originality/value Research in public health today requires the implementation of more holistic and culturally sensitive research designs and analysis frameworks, especially when the subjects under study are underrepresented groups. Critical social inquiry provides researchers with the flexibility and rigor required to thoroughly understand phenomena related to discrimination in all its forms. The authors highlight the importance of the involvement of members of minorities under study in the hope of better research practices and community informed solutions.

Purpose Relative density (RD) is a key quality indicator in laser-based powder bed fusion (L-PBF), linked to microstructure, mechanical properties and performance. This study aims to improve the prediction of RD by integrating a wider set of continuous and categorical inputs, capturing multifactorial interactions beyond the process parameters. Design/methodology/approach A data set of 1,579 samples was compiled from 85 peer-reviewed studies, covering multiple alloys, atmospheres, geometries and measurement methods. Exploratory data analysis combined mutual information and correlation metrics to assess feature relevance. K-means clustering segmented the data into homogeneous groups. Within each cluster, ensemble learning models were optimized via grid search and metaheuristics, with performance validated against literature and experimental data. Findings The cluster-driven framework achieved high predictive accuracy (R2= 0.94) across alloys and process ranges. Clustering improved generalization, especially in low-density regimes. Feature relevance varied by cluster: powder D50, geometric factor and laser power consistently ranked highest. Gradient boosting performed best in some clusters, while weighted-sum and voting ensembles provided the most balanced accuracy. SHAP analysis revealed complex, nonlinear interactions among geometric and process parameters. Originality/value This work introduces several novel contributions to the prediction of RD in L-PBF: the expansion of the input feature space to include underused variables such as material, shielding atmosphere, geometric descriptors and a newly defined shape factor; the use of a cluster-specific modeling strategy (“cluster-then-model”) that tailors regressors to data subgroups based on process-response similarity; and the integration of dual-ensemble optimization with explainability methods, resulting in a robust, transferable and interpretable framework for process performance prediction in metal additive manufacturing.

This study examines the learning difficulties experienced by slow learners in Natural and Social Sciences (IPAS) in Grade IV at SDN 6 Porehu, Southeast Sulawesi. The study aims to describe the forms of learning difficulties experienced by slow learners and the factors that influence them. A qualitative approach was used, with a case study research design. The research subjects included fourth-grade teachers, IPAS teachers, and slow learners in the fourth grade. Data collection techniques were conducted through observation, in-depth interviews, and documentation studies. Data analysis was conducted using an interactive analysis model that included data reduction, data presentation, and conclusion drawing, and data validity was tested through source and technique triangulation techniques. The results showed that slow learners experienced learning difficulties in cognitive, affective, and psychomotor aspects. In the cognitive aspect, students had difficulty understanding abstract concepts, reading, and writing down their observations. In the affective aspect, students tend to be passive, lack confidence, and are hesitant in participating in learning. Meanwhile, in the psychomotor aspect, students experience difficulties in using learning tools and easily lose concentration. Internal factors that influence learning difficulties include intellectual ability and learning motivation, while external factors include learning methods, media use, and parental support.

Background: Cervical cancer is one of the main reasons for the death of women’s in the world. It is a major public health problem and it is the second most common cancer in women worldwide which is the leading cause of deaths of women in developing countries. Proper knowledge about the screening and concerned them about its curability if diagnosed in early stage could have a major impact.Objective: To assess the level of knowledge about the screening of cervical cancer for its early detection among women of reproductive age group.Methods: This was a Descriptive type of cross-sectional study. It was conducted from September 2024 to November 2024. A total of 100 participants participated in the study. Data were collected using self-administered structured questionnaire. The data were processed by computer and statistical analysis of data was carried out by using SPSS method.Results: Result showed that among 100 respondents’ majority 23 (23) were 3034 years old. 51 (51) respondents were married. 22 (22) participants got knowledge about screening test of cervical cancer from mass media and 14 (14) knew about different types of screening tests. 27 (27) participants of reproductive age group had the knowledge that cervical cancer is curable if detected in early stage. Conclusion: Unfortunately, the cervical cancer is the second leading cause of deaths in cancer in Bangladesh. There is a huge need to continue with the innovative steps that have been made to overcome the health care barriers crippling this population. The Journal of Ad-din Women's Medical College; Vol. 13 (2), July 2025; p 9-14

Figs (Ficus carica L.) are economically important worldwide, valued for both fruit production and ornamental purposes. Due to the widespread use of vegetative propagation, diverse viruses have accumulated in fig germplasm. To date, more than 14 viruses have been described associated to fig trees, including eight members of the family Closteroviridae, although their role in the etiology of fig mosaic disease (FMD) is unclear. Characteristic symptoms of FMD include mosaic and chlorotic spots on the leaves, along with deformation of fruits and leaves. Fig mosaic virus (FMV) is the causal agent of FMD, although at least five closteroviruses have also been associated with FMD, with unclear roles. In this study, leaf samples displaying typical FMD symptoms, including yellow mosaic and mottling, were collected from a fig tree in Iowa, United States. Total RNA was extracted and subjected to high-throughput sequencing (HTS). Analysis of HTS data revealed contigs corresponding to FMV and a putative new member of the family Closteroviridae, tentatively named fig virus C (FiVC). Based on the HTS-derived sequence, we obtained the full-length genome of the putative new closterovirus using RT-PCR and RACE. The complete genome is approximately 17.8kb long with open reading frames consistent with the genomic organization of closteroviruses. Sequence comparisons and phylogenetic analysis of the RNA-dependent RNA polymerase, heat shock protein 70-like protein, and capsid protein corroborates that FiVC is a new member of the genus Closterovirus, closely related to other fig-infecting viruses. The discovery of this novel closterovirus in a symptomatic fig tree highlights the need for further studies to clarify the roles of multiple viruses in disease development.

We describe a method for determining the ultrastructural organization of axons and varicosities of cultured dorsal root ganglion (DRG) neurons using cryogenic electron microscopy (cryo-EM). Cryo-EM reveals the dimensions, proximity, and overall organization of biological specimens in a near-native state, avoiding artifacts of fixation and heavy metal staining employed in classic thin section ultramicroscopy. Cryo-EM excels with thin specimens, and the axons of cryo-preserved cultured DRG neurons are the ideal thickness for high-resolution cryo-electron tomography. DRG neurons are a particularly interesting neuronal preparation because they can be isolated from animals of any age, providing a unique resource to examine age-related changes in axonal morphology. We provide a detailed, step-by-step protocol from DRG isolation and culturing, through cryo-preservation and data acquisition and analysis. We also provide a description for data processing in batch and how implementing deep-learning strategies can facilitate taking tilt-series data through the process of semi-automated tomographic segmentation required for quantitative descriptions of ultrastructural features. We use segmentations focused on the cytoskeletal elements of axons and varicosities of young and old cultured DRG neurons to highlight the approach.

Recent evidence supports the clinical and economic advantages of the Manchester procedure (MP) over sacrospinous hysteropexy (SSH) in women treated for mild to moderate uterine prolapse. However, its use remains inconsistent, resulting in a notable variation in current practice. This study explores gynecologists' barriers and facilitators to adoption of the MP, aiming to guide the development of a targeted implementation strategy. From March to June 2025, we conducted semi-structured interviews with gynecologists (n = 12) from the Netherlands in different stages of implementation to identify barriers and facilitators. The updated Consolidated Framework for Implementation Research (CFIR) guided data collection and analysis, ensuring a structured assessment of key domains. A total of 12 barriers and 20 facilitators were identified in 13 constructs across all CFIR domains. Key facilitators for implementation included strong regional collaboration networks, the low complexity of the surgical technique, peer-driven motivation to align with national trends, and overall trust in the evidence, although the latter varied between clinicians. Main barriers were the personal and organizational effort required for training and implementation, particularly in the absence of an experienced colleague, satisfaction with SSH results, and concerns about lower reimbursement for the MP. This study identified key barriers and facilitators influencing the adoption of the MP from the perspective of gynecologists, emphasizing the clinical, organizational, and financial factors involved. Addressing these barriers and leveraging facilitators could enhance adoption of the MP, potentially improving treatment outcomes and reducing healthcare costs.

Individual characteristics can be associated with maintaining adequate FV intake over time. Thus, we aimed to identify factors associated with maintaining changes in fruit/vegetable (FV) intake at 48months. Longitudinal analysis of data from a randomized trial carried out in a health promotion service, including individuals with positive changes in FV intake after intervention. FV intake was assessed at 48months, compared to 12months to identify whether maintenance was associated with demographics, health data, stages of change, self-efficacy, and decisional balance, using multivariate regression. We included 2,232 participants, 88.4% were women, 46.6% were maintainers at 48months. Maintainers were older, had lower schooling and baseline FV intake, had been in the service for longer, and increased FV intake between 12 and 48months while non-maintainers decreased it. Being older or in the service for 36 + months were associated with 1% and 30% higher odds of maintenance; higher baseline FV intake and self-efficacy were associated with 1% and 2% lower odds of maintenance. Maintenance of changes in FV intake was associated with higher age, a longer time in the service, and lower baseline FV intake and self-efficacy. Health promotion services should aim for participant retention, and interventionists should pay attention to participants who might face more barriers for maintenance. RBR-9h7ckx. Date of registration: August 12, 2015.

Production stability remains a major challenge in Chinese hamster ovary (CHO) cell-based therapeutic protein manufacturing, particularly during extended passaging where the underlying mechanisms of instability are not fully understood. Thus, in this study, we leveraged multivariate data analysis (MVDA) and flux balance analysis (FBA) with explainable AI (xAI) to mechanistically characterize the phenotypic differentiation between early (EP) and late passage (LP) of CHO cultures. Although EP and LP reached comparable peak viable cell densities, LP cultures exhibited a ~35% reduction in peak IgG titers and increased lactate and ammonia accumulation. Subsequent MVDA of temporal exometabolite profiles identified the exponential growth phase as the primary window of divergence, allowing us to interrogate metabolic rewiring via an FBA-xAI approach. This revealed that EP cells preferentially directed acetyl-CoA towards fatty acid biosynthesis to support proliferation. In contrast, LP prioritized oxidative stress mitigation by upregulating the trans-sulfuration pathway for de novo cysteine and glutathione synthesis while exhibiting heightened TCA cycle activity to maintain energy homeostasis. Overall, these mechanistic insights uncover a passage-associated shift from biosynthetic activity toward redox maintenance and identify the cysteine-glutathione axis as a critical metabolic lever for enhancing long-term stability and productivity in CHO cell culture.

Every child is endowed with unique intelligence, one of which is naturalist intelligence that is essential for growth and adaptation. However, technological advances and easy digital access lead children to interact more with gadgets than with the natural environment. As a result, naturalist intelligence does not develop optimally. This study aims to describe the implementation of outing class learning through environmental exploration to develop the naturalist intelligence of children aged 4–5 years at RA Kusuma Mulia Turus and to identify supporting and inhibiting factors. This research employed a descriptive qualitative approach with data collection techniques through observation, interviews, and documentation. Data analysis referred to Miles and Huberman’s model: reduction, display, and conclusion. The findings show that outing class implementation involves planning, implementation, and evaluation stages. Activities included introducing natural objects, plants, and pets; feeding animals; caring for the environment; and recognizing natural phenomena. The results revealed that most children developed naturalist intelligence at the “developing as expected” level. Supporting factors were teacher competence, facilities, assistant teachers, geographical location, and student enthusiasm. Inhibiting factors were limited time allocation, less conducive learning conditions, and weather. This study emphasizes that outing class effectively nurtures children’s environmental awareness and enhances naturalist intelligence from an early age.

The objective of this paper is to analyze the species diversity change following the invasion of L. camara and grass coverage in the woodland in the Somaline Region, Ethiopia. To achieve the objectives, two adjusted sites were selected (invaded and non-invaded); at each site, a five-transect line with a distance of 500m was established. In this transect line, 30 plots with a size of 20m * 20m and a distance of 200m were established for collecting tree and shrub data, while seedlings, saplings, and herbaceous data were collected in a 1m * 1m plot. Diversity indices were used for the data analysis. The study result indicates that 23 species with 12 families of herb, grass, shrub, and tree species were identified in the study area. The comparison of the Shannon diversity index and evenness showed that the non-invaded site demonstrated more diversity as compared to the invaded site. Additionally, the correlation result indicates that the rate of L. camara invasion negatively correlates with the Shannon diversity index and evenness, with a correlation coefficient of -0.78 (p = 0.00) and - 0.73 (p = 0.00), respectively. Furthermore, grass and herb coverage: the non-invaded area has high grass and herb coverage with 77.7 ± 12.3, while the invaded area has 29.9 ± 17. In addition, the correlation results indicated that the rate of L. camara invasion had an adverse effect on grass and herb coverage. The invasion of L. camara leads to a decline in species diversity, the number of seedlings and saplings, and grass and herb cover in the study area. Consequently, future research explores the specific interactions between L. camara and native species to better understand the impact of this invasion on local ecosystems, as well as its effects on soil nutrients, microbial communities, and overall composition.

Background: The most prevalent type of anovulatory infertility that occurs in women of reproductive age is polycystic ovarian syndrome (PCOS). Clomiphene citrate has been used in ovulation induction for a long time, but the anti-estrogenic effects can impair pregnancy outcomes. Aromatase inhibitor, letrozole, has been introduced as a viable alternative to improve the ovulation and pregnancy ratio. Objective: To compare the rate of pregnancy achievement between letrozole and clomiphene citrate in anovulatory women with polycystic ovarian syndrome. Materials and Methods: The study was a randomised controlled trial, which was carried out in the Allama Iqbal Teaching Hospital, Dera Ghazi Khan, from 1st December, 2023 to 30th May, 2024. One hundred and six non-probability consecutive sampling women with anovulatory PCOS were enrolled and randomized into two equal groups. Group A was given letrozole 5mg/kg/day, and Group B was given clomiphene citrate 100mg/kg/day during days 5 to 9 of the menstrual cycle. The results of ovulation and pregnancy were measured within 12 weeks. The analysis of data was done with SPSS version 25. Results: There was a similarity in the mean baseline characteristics in both groups. The ovulation rate among women in the letrozole group (92.5%) was higher than the rate among women in the clomiphene group (83.0%) (p=0.04). The achievement of pregnancy was much higher in the letrozole group (42.2%) compared to the clomiphene citrate group (20.8%) (p=0.01). Letrozole demonstrated better pregnancy outcomes in both the obese and non-obese groups. Conclusion: Letrozole has been proven to be more effective than clomiphene citrate in the achievement of pregnancy in anovulatory women with PCOS. It is to be viewed as the preferred initial ovulation induction agent, especially in resource-constrained environments.

This study aims to analyze the effect of work facilities and incentives on employee performance, with work discipline as a mediating variable at the Regional Drinking Water Company (Perumdam) Tirta Mayang in Jambi City. Employee performance is a key factor in improving the quality of public services, particularly in the clean water supply sector. This study used a quantitative approach with a survey method. The study population was all 153 employees of Perumdam Tirta Mayang in Jambi City. The sample size was determined using the Slovin formula with a tolerance of 7.5%, resulting in a sample size of 111 respondents. Data analysis used Structural Equation Modeling–Partial Least Squares (SEM-PLS). The results showed that work facilities and incentives had a positive and significant effect on work discipline. Work facilities and incentives also had a positive and significant effect on employee performance. Furthermore, work discipline had a positive and significant effect on employee performance and mediated the effect of work facilities and incentives on employee performance. These findings emphasize the importance of providing adequate work facilities and a fair incentive system to improve employee discipline and performance.

Congenital hypothyroidism is an endocrine disorder in newborns characterized by thyroid hormone deficiency, which can lead to impaired growth and permanent neurological developmental disorders if not detected and treated early. Congenital hypothyroidism screening through the measurement of neonatal Thyroid Stimulating Hormone (TSH) levels is an important strategy for early detection to prevent these long-term consequences. This study aimed to describe the profile of neonatal TSH levels in the implementation of a congenital hypothyroidism screening program at a private hospital. This study employed a descriptive design with a retrospective approach. The data used were secondary data in the form of neonatal TSH examination results obtained from laboratory records during the period of April–July 2024. The sampling technique used was total sampling, including all data that met the inclusion criteria, with a total sample of 175 newborns. Data analysis was conducted using univariate analysis to describe the distribution of neonatal TSH levels based on the reference values for congenital hypothyroidism screening. The results showed that all neonatal TSH levels were within the normal reference range, with values ranging from 2 to 12 µIU/mL. No neonatal TSH levels ≥20 µIU/mL were found that would indicate suspicion of congenital hypothyroidism. These findings indicate that there were no signs of thyroid dysfunction among the newborns screened during the study period. The implications of this study confirm that the congenital hypothyroidism screening program has been implemented effectively as an early detection effort. Therefore, routine neonatal TSH screening should be maintained to prevent delayed diagnosis and to support optimal growth and development in infants.

Background Nutritional support is pivotal in managing critically ill patients. Enteral nutrition, which preserves intestinal mucosal barrier function and modulates immune-metabolic homeostasis, is the preferred nutritional support strategy. However, the optimal timing for initiating EN remains controversial: some studies advocate early initiation (within 24–48 h), while others suggest delayed initiation (beyond 48 h), resulting in inconsistent clinical practices and conflicting guideline recommendations. This highlights the need for high-quality evidence to clarify the optimal EN initiation window. Objective This network meta-analysis aims to systematically compare the effects of five EN initiation timings on key clinical outcomes in critically ill patients, rank their efficacy, and identify the optimal initiation window, thereby providing evidence-based guidance for clinical practice. Methods We conducted a network meta-analysis following the PRISMA-NMA statement, including randomized controlled trials (RCTs) comparing the five EN initiation timings in critically ill adults. Databases (PubMed, Embase, Web of Science, Cochrane Library) were searched from inception to September 2024. Data analysis was performed using Stata 16.0 and RevMan 5.4, with efficacy ranked via the surface under the cumulative ranking curve (SUCRA). Results Fifteen RCTs were included, involving five EN initiation timings: <24 h, 24–48 h, 48–72 h, 72–96 h, and >96 h. No statistically significant differences in mortality or ICU length of stay were observed between any two timings. However, SUCRA ranking showed that 24–48 h initiation had the highest probability of reducing mortality (SUCRA = 67.0), while >96 h initiation was most likely to shorten ICU length of stay (SUCRA = 75.2). Conclusion Initiating EN beyond 96 h was associated with the shortest ICU stay, while initiating it within 24–48 h may be associated with lower mortality. Based on the current limited evidence, the 24–48 h window may be relatively optimal for improving clinical outcomes in critically ill patients. However, given the small number of included studies and low to moderate evidence quality, this conclusion requires validation in large, high-quality RCTs. Systematic review registration https://www.crd.york.ac.uk/PROSPERO/view/CRD42024581390. identifier PROSPERO (CRD42024581390).

Classroom management in Indonesian schools faces inefficiencies from Microsoft Excel-based scheduling, causing data errors and delays for administrators and teachers, particularly digital immigrants. This study aims to design a desktop-based classroom management system using VB.NET and MySQL to enable real-time CRUD operations for students, teachers, courses, scores, and printing. Employing a software development approach with the waterfall model, the population consists of 50 potential users (10 administrators, 40 teachers) at Surabaya State University and partner schools; purposive sampling selected 5 key respondents (2 admins, 3 teachers) with 2+ years manual experience. Instruments include needs analysis documents, flowcharts, ERD, prototypes, and black-box testing sheets; data analysis used qualitative-quantitative triangulation validating functional/non-functional requirements. Results demonstrate 100% validity across 36 scenarios in 7 modules (login, dashboard, student/course/score/teacher management, print), confirming system reliability via Human Centered Design. In conclusion, the system enhances administrative productivity, serving as a practical foundation for digital transformation in education, although limited to desktop use.

Abstract: OBJECTIVE: Women during perimenopause suffer from hot flashes, fatigue, and mood swings due to hormonal changes. These symptoms can disrupt daily life, work, and well-being. Aerobic exercise, like walking, has been shown to reduce these symptoms and improve overall well-being in perimenopausal women. The aim of the study was to find the effect of 4 weeks of aerobic exercise on menopausal symptoms using the Menopausal Rating Scale (MRS) in perimenopausal homemakers. METHODS: An experimental study was conducted in the community of Ahmedabad. Thirty-six homemakers aged between 40 and 55 years with perimenopausal symptoms were randomized into an intervention Group A or a control Group B. Women with known conditions which affected walking, taking drugs to relieve perimenopausal symptoms, women with surgical menopause, and receiving any hormone therapy were excluded. Women in the intervention group were asked to perform home-based walking at an 11–13 rate of perceived exertion for 150 min/week with warm-up and cool-down, five times a week for 4 weeks. Those in the control group continued their usual routine. The outcome used was the Menopausal Rating Scale. Data analysis was performed using SPSS version 20. Wilcoxon signed test for within-group analyses and Mann–Whitney U -test for between-group analyses were done. The level of significance was 5%. RESULTS: Differences in menopausal symptoms showed a significant difference between the groups ( U = 18, P = 0.0001). CONCLUSION: Aerobic exercise like walking reduces menopausal symptoms in perimenopausal homemakers.

Background and objective Desvenlafaxine (DVS), a commonly used serotonin-norepinephrine reuptake inhibitor (SNRI), is widely applied in the treatment of major depressive disorder (MDD). However, the efficacy and safety of different DVS dosages remain controversial. This study aims to systematically evaluate the efficacy and safety of various doses of DVS in treating MDD, providing evidence-based guidance for clinical dose selection. Methods A systematic search was conducted in PubMed, Embase, Web of Science, and the Cochrane Library to identify randomized controlled trials (RCTs) comparing different doses of DVS in adult MDD patients. A Bayesian random-effects model was employed for network meta-analysis, and surface under the cumulative ranking curve (SUCRA) was used to assess the overall performance of each dose in terms of efficacy (HAM-D17, CGI-S, MADRS scores) and safety (treatment-emergent adverse events, TEAEs). Publication bias was assessed using funnel plots. All data analyses were performed using R Studio and STATA. Results A total of eight RCTs were included. The analysis showed that DVS at 50, 100, 200, and 400 mg/day significantly outperformed placebo in improving HAM-D17, CGI-S, and MADRS scores, with the 200 mg/day dose showing numerically greater improvement than the other doses. Regarding safety, there were no statistically significant differences in adverse event rates between any DVS dose and placebo ( P > 0.05). According to the SUCRA rankings, DVS 200 mg/day tended to appear higher in the probabilistic ranking, although this reflects relative ordering rather than conclusive evidence of clinical superiority. Conclusion DVS at doses ≥ 50 mg/day significantly improves depressive symptoms compared with placebo. Among the evaluated doses, 200 mg/day consistently showed numerically greater improvements while maintaining acceptable tolerability; however, the certainty of dose differences remains limited, and no definitive “optimal” dose can be established based on the current evidence.

This study explores the educational trajectories of elderly deaf people in Spain who were educated between 1960 and 1980. The research was based on biographical-narrative methodology as a qualitative research technique. The data analysis was structural, using code identification and a system of categories and dimensions. Based on the stories and testimonies of 18 deaf people over the age of 65 living in Galicia, the stereotypes, prejudices and academic barriers in their school experience are analysed. The testimonies reveal an exclusionary education system, marked by a lack of accessibility, an absence of sign language interpreters, and the imposition of oralism as the only means of teaching. These conditions negatively affected the participants’ personal development, self-esteem, and employment opportunities. Discriminatory attitudes on the part of teachers and the school community were also identified. However, some highlighted key support and the informal use of sign language as positive elements. The study emphasises that, although there have been improvements in the education of deaf people, further progress is needed in the development of inclusive education policies that recognise sign language and promote accessibility and equity in the education of deaf people.

The increasingly competitive modern coffee industry requires businesses not only to offer quality products but also to create customer value and satisfaction in order to foster repurchase intention. This study aims to analyze the influence of perceived value and product quality on repurchase intention, with customer satisfaction as an intervening variable, among Fore Coffee customers in Semarang. The research employed a quantitative approach with an explanatory design. Data were collected through questionnaires distributed to 100 respondents who had purchased Fore Coffee products in Semarang, selected using purposive sampling. Data analysis was conducted using SmartPLS 4 through descriptive statistics, outer model testing, and inner model evaluation. The results show that perceived value and product quality have a positive and significant effect on both customer satisfaction and repurchase intention. In addition, customer satisfaction has a positive and significant effect on repurchase intention. The findings further indicate that perceived value and product quality also influence repurchase intention indirectly through customer satisfaction. The study concludes that enhancing customers’ perceived value and maintaining consistent product quality can increase customer satisfaction and simultaneously strengthen repurchase intention. In practical terms, companies need to focus their strategies on reinforcing product quality and creating customer value to sustain consumer loyalty amid intensifying competition in the coffee industry.