Search Results (206)

This study aims to identify, based on a Means-End Chain model, the main linkages among attributes, benefits, and perceived value in specialty coffee. Specialty coffee, recognized for its superior quality and sustainable production practices, has experienced growing demand in Brazil and worldwide, intensifying competition and increasing the need to understand how value is constructed from the consumer’s perspective. A quantitative study was conducted using PLS-SEM to test a model adapted to the specialty coffee context, applied to a sample of 88 respondents. The model was validated and explained 29.4% of the variance in Perceived Value, highlighting the role of Attributes and particularly of Benefits and Consequences as the cognitive link that transforms product characteristics into perceived value. In addition to direct effects, significant indirect effects were identified, indicating that a substantial portion of the impact of attributes occurs through mediation, influencing particular, convenient, and rational benefits before being reflected in perceived value. The findings contribute to a systemic understanding of how elements of the coffee value chain are cognitively connected in consumers’ minds and provide insights for positioning, communication, and differentiation strategies to promote sustainable, high-quality coffees. Full article

Objectives: To assess whether [^99mTc]Tc-UBI 29-41 SPECT/CT combined with a standardized target-to-liver ratio can reliably support clinical decision-making in patients with difficult-to-diagnose bacterial infections and to establish a reproducible diagnostic threshold applicable across four infectious scenarios. Methods: This prospective diagnostic accuracy study, conducted following STARD guidelines, included 156 consecutive patients (346 lesions) with clinical suspicion of infected arthroplasty, spondylodiscitis, osteomyelitis, or fever of unknown origin. Target-to-liver total count ratios were calculated from SPECT/CT images. Diagnostic performance was assessed using bootstrap-resampled ROC analysis, Fagan nomograms, and penalized logistic regression. Results: All four conditions showed good discriminatory capacity (AUC: 0.965–0.979). At a cutoff ratio ≥ 1.5, specificities exceeded 95% and negative predictive values were ≥97.8% across all subgroups. Post-test probability after a negative scan decreased to 2–3% in every condition, consistent with clinically meaningful rule-out capability across all four scenarios. Penalized logistic regression confirmed significant associations between elevated ratios and confirmed infection (OR: 22.02–245.53; all p ≤ 0.003). Conclusions: [^99mTc]Tc-UBI 29-41 SPECT/CT with target-to-liver ratio analysis provides clinically meaningful diagnostic support across four distinct infectious scenarios, with particular strength as a rule-out test. A threshold of ≥1.5 offers a standardized, potentially reproducible criterion that may guide clinical decisions and reduce reliance on invasive confirmatory procedures. Prospective multicentre validation is warranted to establish this bacteria-specific approach as a practical complement to existing diagnostic algorithms. Full article

Students with disabilities, particularly those needing additional support or intervention to manage emotions and behaviors, build healthy relationships, and navigate social and academic demands, face heightened risks of high school pushout that can be traced back to their transition into high school. Project Elevate (PE) is a multi-component intervention that strategically invests in early coordinated student, family, and school supports to prevent barriers associated with high school pushout, such as a lack of continuity of effective services across school sites. This mixed-methods pilot study examined the implementation of PE with three 8th-grade students and their parents during their last term in middle school. This study includes quantitative pre–post descriptive analyses of multi-informant reports of students’ social, emotional, and behavioral skills, as well as descriptive analyses of weekly teacher- and parent-reported behavior and student attendance. Qualitative analysis using the Framework Method was applied to student and parent interviews and open-ended responses on a satisfaction questionnaire to understand their experience receiving PE support. Session case notes were also used as contextual data to describe implementation processes and contextualize findings. Results indicated improvements in student attendance and reductions in home-based behavioral concerns, with mixed findings across school-based outcomes. Students and parents reported high satisfaction with the intervention, highlighting the value of individualized support, goal setting, and strengthened communication with schools. Findings from this intervention development pilot study provide preliminary evidence regarding the implementation and perceived value of PE. Results also highlight the importance of culturally responsive, relationship-centered practices that affirm student strengths and support access to educational opportunities. Further investigation of PE in larger studies is warranted. Full article

Colombian palm wine is a traditional fermented beverage produced from the sap of Attalea butyracea, whose microbiota and biochemical features remain poorly characterized. A comprehensive analytical framework was applied to palm wine samples from three Andean producers. This included the determination of proximate composition, total phenolic content, and antioxidant activity, alongside a dual microbiological approach: traditional plate counting and high-throughput 16S rRNA/ITS metabarcoding. PICRUSt2 was employed to predict KEGG-based metabolic pathways to elucidate the microbial functional potential. The wines exhibited a low pH (3.35–3.65), a variable ethanol content (1.62–8.40 g/L), high residual sugars, moderate microbial loads, and limited antioxidant activity (as measured using the ABTS and DPPH assays). Analysis using high-throughput sequencing revealed high bacterial community diversity, dominated by Liquorilactobacillus nagelii, Limosilactobacillus fermentum, Limosilactobacillus panis, Lacticaseibacillus casei, and Zymomonas mobilis alongside the yeast Saccharomyces cerevisiae. Functional profiling revealed a significant enrichment in metabolic pathways related to carbohydrates, amino acids, and cofactors/vitamins, as well as xenobiotic biodegradation and metabolism. These findings provide the first integrated microbiological and physicochemical characterization of Colombian palm wine and highlight its biotechnological potential. Full article

This paper examines whether global monetary conditions are embedded in the spillover structure of sovereign credit risk across emerging markets and whether that role changes across market states. Using monthly data for 15 emerging-market 5-year sovereign CDS series from March 2008 to February 2026, we construct a World Interest Rate (WIR) from the common component of shadow or policy rates in the United States, the euro area, Japan, the United Kingdom, Switzerland, and Canada. The empirical analysis is based on a rolling quantile vector autoregression connectedness framework applied to transformed CDS and WIR series. The results show that sovereign CDS spillovers are strongly state dependent. Total connectedness is already high at the center of the distribution, but rises markedly in both tails, producing a clear U-shaped quantile profile. The WIR is clearly integrated into the network, although not as a uniformly dominant transmitter. In central and intermediate quantiles it behaves mainly as a net receiver of spillovers, while in more stressed upper-tail conditions it becomes less absorbent and can occasionally shift into a mild transmitting role. These findings suggest that global monetary conditions matter within the sovereign CDS network, but in a conditional rather than uniform way. Full article

Throwing velocity is a key performance factor in handball and may be enhanced through strength training. The aim of the present study was to quantify improvements in throwing velocity in handball players and to compare the effects of a free-weight strength training programme (FW; n = 14; 18.07 ± 1.27 years; 86.19 ± 9.67 kg; 1.85 ± 0.08 m) and a flywheel-based eccentric overload training programme (FLYW; n = 13; 17.77 ± 1.17 years; 85.5 ± 8.38 kg; 1.85 ± 0.06 m). A total of 27 elite male youth handball players (n = 27; 17.93 ± 1.21 years; 85.86 ± 8.90 kg; 1.85 ± 0.07 m) participated in the study. Participants were allocated to groups using a stratified randomisation approach based on team and playing position. Of these, 14 performed the FW training program and 13 completed the FLYW training protocol. The FW group performed 3 sets of 6 repetitions at 80% of 1RM, with 3 min of rest between sets, using the exercises half squats, bench presses and pullovers. The FLYW training group trained with flywheel devices, executing 3 sets of 6 repetitions using four inertial loads, performing each repetition at maximal intended velocity, with 3 min of rest between sets, using the exercises unilateral press, overhead elbow extension, and trunk rotation. Both groups trained twice per week for 8 weeks, in combination with regular handball-specific training. Pre- and post-intervention assessments included the indirect estimation of one-repetition maximum (1RM) in the half squats, bench presses, and pullovers, as well as throwing velocity. The FW group showed significant improvements in all variables (bench press, half squat, pullover, and throwing velocity; all p < 0.05). In contrast, the FLYW group showed significant improvements only in half squats (p = 0.034) and throwing velocity (p = 0.008). An 8-week strength training program using free weights and flywheel methods improved throwing velocity in elite youth handball players; however, neither method demonstrates clear superiority when throwing velocity is the primary outcome. Full article

Background: Thoracentesis is pivotal in managing pleural effusion (PE), particularly in invasive mechanical ventilation (IMV), with documented improvements in respiratory mechanics, oxygenation, and hemodynamic parameters. However, its efficacy may vary based on effusion type and drained volume. Methods: A retrospective longitudinal study was conducted at a high-complexity care center in Cali, Colombia (2019–2024), including 93 (IMV) patients who underwent therapeutic thoracentesis (TT). Respiratory and hemodynamic parameters were assessed before and up to 24 h post-procedure. Stratified analysis was performed by drained volume, fluid type, and left ventricular ejection fraction (LVEF). Results: TT yielded significant improvements in fraction of inspired oxygen (FiO₂) (−4%), positive end expiratory pressure (PEEP) (−0.5 cmH₂O), and Oxygen arterial Pressure Index/Inspired Oxygen Fraction (PaO₂/FiO₂-ratio) (+27.1), with greater impact for volumes ≥500 mL and transudative PE. Patients with LVEF ≤ 40% showed increased mean arterial pressure (MAP) and PaO₂. Complication rates were low (<4%). Conclusions: TT is safe and effective in critically ill IMV patients, particularly for transudative PE and drained volumes ≥500 mL, as well as in subjects with LVEF ≤ 40%. Its positive impact on oxygenation and ventilation supports its therapeutic utility in critical care. Full article

High-entropy alloys formed by metals are usually classified as those with magnetic elements, such as Fe, Co, and Ni, and alloys containing a significant percentage of aluminum. In the first case, the functional responses of greatest scientific and technological interest are both mechanical and magnetic. Concerning applications, the main interest focused on health and energy. Among the various techniques used to obtain high-entropy alloys in powder form, one of the most widely applied is mechanical alloying. This paper reviews recent results and prospects, including machine learning. Full article

Patients with atrial fibrillation (AF) who are not candidates for long-term anticoagulation present a complex therapeutic dilemma due to competing risks of cardioembolic stroke and intracerebral hemorrhage (ICH). This challenge is particularly pronounced in neurologically vulnerable individuals, including those with prior ICH, cerebral amyloid angiopathy (CAA), or neuroimaging markers of cerebral small vessel disease (SVD). Left atrial appendage occlusion (LAAO) has emerged as an alternative stroke prevention strategy for patients with contraindications to anticoagulation; however, optimal patient selection and post-procedural antithrombotic management remain uncertain, largely because existing bleeding risk scores inadequately capture ICH risk. Most hemorrhagic risk scores were designed to estimate systemic bleeding and demonstrate limited ability to predict ICH, as they do not incorporate hemorrhage etiology or neuroimaging features. Importantly, ICH recurrence risk varies substantially by subtype, with the highest risk observed in CAA-related hemorrhage, the lowest in hypertensive SVD, and intermediate risk in mixed or secondary etiologies. These distinctions have direct implications for anticoagulation decisions and consideration of LAAO. Finally, we synthesize contemporary evidence on ICH risk stratification, neuroimaging biomarkers, and antithrombotic strategies following LAAO. We propose a multidisciplinary, evidence-based decision-making framework integrating clinical risk scores, neuroimaging findings, and hemorrhage phenotype to support individualized stroke prevention strategies in high-risk patients with AF. Full article

Global Navigation Satellite Systems (GNSS) are highly affected in equatorial regions, especially due to the formation of Equatorial Plasma Bubbles (EPBs), which cause disturbances in the ionosphere resulting in different forms of signal degradation. Despite Colombia’s privileged geographic position, its limited monitoring infrastructure hinders the detection and mitigation of these effects. This study proposes the development of a Low-Cost Scintillation Laboratory (LCSL) using a cognitive radio–based approach for real-time scintillation monitoring, aimed at improving GNSS reliability. The system was designed following a Systems Engineering methodology, defining functional architectures and constraints. A communication system model was developed to account for EPBs’ effects on GNSS signals, while cognitive radio algorithms within a Software-Defined Radio (SDR) framework enabled real-time detection, monitoring, and alert generation. To implement this approach, monitoring stations were deployed in Bogotá, Cartagena, and Santa Marta utilized low-cost GNSS receivers integrated with Machine Learning (ML) algorithms for the automatic classification of scintillation events. Additionally, the system’s accuracy was validated by comparing experimental data with historical records from the Geophysical Institute of Peru (IGP). The results demonstrated that the integration of cognitive radio and ML-based detection enhanced precision and adaptability compared to traditional methods. The network of monitoring stations effectively validated the system’s performance, providing valuable insights into equatorial ionospheric dynamics. This study contributes to the advancement of monitoring methodologies and highlights the importance of accessible infrastructure for mitigating EPB effects on GNSS, ultimately fostering more resilient navigation and communication systems. Full article

Objectives: This study aimed to describe the epidemiological and clinical characteristics and the potential risk factors associated with Clostridioides difficile infection (CDI) in a high-complexity healthcare center. Methods: This was a retrospective case–control study conducted from 2020 to 2022 with a cohort of participants aged ≥18 years with diarrhea (more than three liquid stools per day), which included a molecular testing request (the FilmArray Gastrointestinal [GI] PCR Panel) in a high-complexity clinic in Santiago de Cali, Colombia. Controls were randomly selected from the same institutional laboratory database at a 2:1 ratio, matched by age and sex, and required to test negative for C. difficile. Patients from other institutions were excluded to avoid exposure misclassification. Results: Our study included 147 participants (49 cases and 98 controls) and found a 22% infection prevalence among those who underwent molecular testing. When comparing CDI cases with controls, significant differences were observed in the univariate analysis: cases showed longer time to symptom resolution, longer post-diagnosis hospital stay, and greater exposure to in-hospital antibiotics for more than 7 days prior to symptom onset (p < 0.05). Among CDI cases, 55% were healthcare-associated and 18% were classified as severe, with an overall 30-day mortality of 15%. In the multivariate logistic regression model, three variables remained significantly associated with CDI: hospital stay longer than 10 days before symptom onset, antibiotic exposure in the previous 90 days, and in-hospital proton pump inhibitor use. Conclusions: CDI can present a wide range of clinical manifestations, so underdiagnosis should be avoided. Identifying risk factors, particularly in patients with hospital-acquired diarrhea, is crucial. Factors such as a hospital stay longer than 10 days before symptom onset and in-hospital exposure to PPIs or antibiotics in the last 90 days were significant in our study. Early recognition of these risk factors may reduce hospital stay, lower the risk of complications, and optimize healthcare resources. Full article

Imaging luminance measurement is increasingly used in lighting applications, but the limited dynamic range of camera sensors requires using high dynamic range (HDR) imaging methods for evaluating scenes with large luminance contrasts. This work aims at investigating how parameters of HDR imaging techniques may impact luminance measurement accuracy, using a numerical evaluation. A numerical simulation framework based on a digital twin of an imaging system and synthetic high-contrast luminance scenes is used to introduce controlled systematic error sources and quantify their impact on HDR luminance accuracy. The results support the identification of HDR approaches most suitable for producing luminance measurements traceable to the International System of Units (SI). Full article

Cronobacter spp. is a pathogenic genus comprising seven species, of which C. sakazakii is particularly notable for its association with neonatal outbreaks linked to powdered infant formula. The severity of infections is associated with virulence factors (VFs) and β-lactam antibiotic resistance genes (ARGs). Next-generation sequencing (NGS) has enabled precise strain typing through core genome multilocus sequence typing (cgMLST), enhancing discrimination and accuracy. This study aimed to use cgMLST (2831 genes) to genomically characterize 34 Cronobacter strains which had been isolated from powdered milk and production surfaces between 2011 and 2022. The identified strains included C. sakazakii ST1, ST4, ST13, ST31 and ST83, as well as C. malonaticus ST60. Overall, there were eight clusters of closely related strains. All strains exhibited resistance to cephalothin, 18 were resistant to ceftazidime and 11 to ampicillin. Various resistance genes (bla_CSA, bla_CMA, fos, qacJ, marA, AcrAB-TolC, and mcr-9.1) and virulence genes (cpa, nanAKT, fic, relB, fliC) were detected, with some genes being exclusive to C. sakazakii. All strains carried plasmids and mobile genetic elements. The multidrug resistance and presence of virulence genes in these isolates highlight the significant risk that C. sakazakii-contaminated powdered dairy products pose to public health, underscoring the need to adopt proper hygienic manufacturing practices and effectively implement HACCP in their production. Full article

Reliable and up-to-date measurements of public space remain scarce in small and medium-sized towns (SMSTs), where conventional geospatial datasets are often outdated, inconsistent, or inaccessible. This study presents a low-cost and fully reproducible computational pipeline that integrates nadir RGB imagery captured by a DJI Mini 3 UAV with a lightweight instance-segmentation model (Ultralytics YOLOv12-seg) and GIS-based post-processing to derive class-specific surface indicators at the neighborhood scale. The workflow consists of four components: autonomous UAV acquisition over three representative zones of Sesquilé, Colombia; planar mosaic generation and georeferencing using ad hoc ground control points; fine-tuning of a YOLOv12-seg model trained on locally annotated images; and transformation of predicted masks into OSM and GeoPackage geometries for metric analysis. The trained model achieved stable convergence with mask mAP50 ≈ 0.85 and mAP50–95 ≈ 0.70, supported by balanced precision–recall behavior across classes. Spatial outputs exhibit coherent morphological contrasts between the analyzed zones. Buildings occupy 48.17% of the mapped area, vegetation 25.88%, and transport- and plaza-related public space (roadways, sidewalks, and hardscape areas) 25.95%. These proportions capture a clear gradient from a dense urban core to less consolidated peripheral sectors. Results demonstrate that very-high-resolution UAV imagery, combined with open-source deep-learning tools and structured GIS post-processing, can reliably produce operational public-space indicators for SMSTs at low cost. The methodology provides an accessible and scalable framework for evidence-based urban assessment in municipalities with limited technical and financial resources. Full article

The increasing demand and production of neodymium-iron-boron-based permanent magnets (NdFeB-PMs) for the electronics, energy sector, and automobile industries led to disposal consequences. The NdFeB-PMs contain a substantial amount of rare earth elements (REEs). Although China is the largest exporter of REEs to the world, it has applied some restrictive policies in terms of supply chain and taxes. To address such issues, this review systematically examines current recycling techniques, including short-loop, hydrometallurgy, pyrometallurgy, and hybrid processes, and the integration of Machine Learning (ML) to the leaching process, with a particular focus on their impact on industrial capability, economic viability, and environmental concerns. However, a comparative study highlights ongoing challenges to large-scale implementation, including fragmented waste sources, gaps between efficient processes and environmental sustainability, and a lack of regulatory and infrastructure support. To address these challenges, technical innovation in automated disassembly systems and selective REE recovery via ML was discussed, along with legislative initiatives such as Extended Producer Responsibility (EPR) and waste monitoring procedures. Furthermore, ecologically and economically feasible solutions were optimized through ML-based recycling procedures to increase the leaching efficiency and the recovery of the REEs. This analysis emphasizes the importance of collective technological, environmental, and policy initiatives to achieve sustainable NdFeB recycling and long-term resource availability. These findings offer important perspectives into developing effective and environmentally friendly NdFeB waste recycling solutions via the integration of ML. Full article