Search Results (40,784)

Background/Objectives: Information and Communications Technology (ICT) advancements and high customer expectations are boosting the use of digital transformation and tech tools in business processes in a competitive environment. This trend enhances business effectiveness and efficiency but also introduces technostress as a new workplace stress factor. Technostress, defined as stress induced by using ICT in the workplace, has become increasingly prevalent in modern work environments, especially in sectors such as banking, due to digital transformation. As technology use intensifies, it raises concerns about potential adverse psychological and physiological effects on employees, particularly in relation to burnout. From a physiological perspective, musculoskeletal disorders (MSDs) are quite common among employees who use ICT for extended periods. MSDs can play a significant moderating role in the relationship between technostress and burnout. In this context, this study aimed to examine the moderating role of MSDs in the effect of technostress on burnout. Methods: This quantitative study surveyed a convenience sample of 220 bank employees, drawing on COR theory, the JD-R model, the P-E fit approach, and transactional stress theory. Data were analyzed using Structural Equation Modeling with SmartPLS 4.0 software, enabling examination of relationships between variables derived from these frameworks. Results: The results reveal that technostress increases bank employees’ burnout experience. Additionally, bank employees with MSDs experience higher burnout levels than those without MSDs. Conclusions: The study’s findings provide valuable insights into managing workplace stress, addressing mental health problems, and promoting employee well-being in the digital age. These results have potential implications for academic understanding and practical applications in sustainable management. Full article

Background: Cholangiocarcinoma (CCA) is a highly aggressive cancer of the bile ducts with a poor prognosis and limited diagnostic markers. This study aims to investigate the potential of miR-18a and miR-532 as biomarkers for CCA by exploring their correlations with clinical parameters and traditional tumor markers such as CA19.9, CEA, and AFP. Methods: This study involved a cohort of patients diagnosed with CCA. Serum levels of miR-18a and miR-532 were measured and analyzed in relation to various clinical parameters, including age, tumor markers, and histological features. Results: Serum levels of miR-18a and miR-532 were upregulated in patients with extrahepatic cholangiocarcinoma (eCCA) compared to healthy controls (p < 0.05). MiR-18a and miR-532 levels were correlated with each other (p = 0.011, Spearman’s rho = 0.482) but showed no significant correlation with age or traditional tumor markers (CA19.9, CEA, AFP). No significant differences in miR-18a and miR-532 levels were observed concerning tumor localization or histological grading. For predicting tumor resectability, miR-532 at a cut-off point of 2.12 showed a sensitivity of 72.73%, specificity of 81.25%, and an AUC of 71.3%, while miR-18a, at a cut-off of 1.83, had a sensitivity of 63.64%, specificity of 75%, and an AUC of 59.7%. ROC curve analysis suggested moderate diagnostic potential for miR-18a and miR-532, with AUC values of 0.64 and 0.689, respectively. Conclusions: Although miR-18a and miR-532 showed significant upregulation in eCCA patients compared to healthy controls, they did not demonstrate significant associations with key clinical parameters, limiting their effectiveness as standalone diagnostic biomarkers. Further research involving larger, multi-center cohorts and additional molecular markers is necessary to validate these findings and explore the broader diagnostic potential of miRNAs in CCA. Full article

Conventional oxidation processes for alkyl aromatics to ketones employ oxidants that tend to generate harmful byproducts and cause severe equipment corrosion, ultimately creating critical environmental problems. Thus, in this study, a practical, efficient, and green method was developed for the synthesis of aromatic ketones by applying a bis(2-butoxyethyl) ether/O₂ system under external catalyst-, additive-, and base-free conditions. This O₂-mediated oxidation system can tolerate various functional groups and is suitable for large-scale synthesis. Diverse target ketones were prepared under clean conditions in moderate-to-high yields. The late-stage functionalization of drug derivatives with the corresponding ketones and one-pot sequential chemical conversions to ketone downstream products further broaden the application prospects of this approach. Full article

Aging, an independent risk factor for cardiometabolic diseases, refers to a progressive deterioration in physiological function, characterized by 12 established hallmarks. Vascular aging is driven by endothelial dysfunction, telomere dysfunction, oxidative stress, and vascular inflammation. This study investigated whether aged gut microbiome promotes vascular aging and metabolic impairment. Fecal microbiome transfer (FMT) was conducted from aged (>75 weeks old) to young C57BL/6 mice (8 weeks old) for 6 weeks. Wire myography was used to evaluate endothelial function in aortas and mesenteric arteries. ROS levels were measured by dihydroethidium (DHE) staining and lucigenin-enhanced chemiluminescence. Vascular and intestinal telomere function, in terms of relative telomere length, telomerase reverse transcriptase expression and telomerase activity, were measured. Systemic inflammation, endotoxemia and intestinal integrity of mice were assessed. Gut microbiome profiles were studied by 16S rRNA sequencing. Some middle-aged mice (40–42 weeks old) were subjected to chronic metformin treatment and exercise training for 4 weeks to evaluate their anti-aging benefits. Six-week FMT impaired glucose homeostasis and caused vascular dysfunction in aortas and mesenteric arteries in young mice. FMT triggered vascular inflammation and oxidative stress, along with declined telomerase activity and shorter telomere length in aortas. Additionally, FMT impaired intestinal integrity, and triggered AMPK inactivation and telomere dysfunction in intestines, potentially attributed to the altered gut microbial profiles. Metformin treatment and moderate exercise improved integrity, AMPK activation and telomere function in mouse intestines. Our data highlight aged microbiome as a mechanism that accelerates intestinal and vascular aging, suggesting the gut-vascular connection as a potential intervention target against cardiovascular aging and complications. Full article

This study examines seed germination strategies and seedling establishment in six tree species typical of seasonally dry tropical forests. We focused on how interspecific and intraspecific differences in seed size and germination speed influence biomass allocation and seedling growth. Using generalized linear models, we analyzed the effects of these traits on root/shoot ratios and growth rates. Our findings reveal two main strategies: slow germination, high root/shoot ratio, and low growth rate in Erythrina velutina Willd and Terminalia valverdeae A.H. Gentry, associated with enhanced drought tolerance. In contrast, Cynophalla mollis (Kunth) J. Presl and Coccoloba ruiziana Lindau exhibited rapid germination, lower root/shoot ratios, and low to moderate growth rates, favoring competition during early establishment. Centrolobium ochroxylum Rose ex Rudd partially aligned with this second strategy due to its fast growth. Vachellia macracantha (Humb. & Bonpl. ex Willd.) Seigler & Ebinger presented a unique case, displaying slow germination and a broad range in both root/shoot ratios and growth rates. At the intraspecific level, significant variation in biomass allocation and growth rate was observed, influenced by germination speed and seed weight. We discuss the adaptive significance of seed traits in SDTFs and their role in seedling establishment under varying environmental conditions, providing insights for strategies for conservation and restoration in these ecosystems. Full article

This paper examines the nexus between the digital economy and sustainable urban economic development by considering the moderating roles of human capital and government support. This study utilizes panel data from China at the city level from 30 provinces for the period 2011–2019 and employs the Spatial Durbin model along with fixed effects, the Generalized Method of Moments (GMM), and Feasible Generalized Least Squares (FGLS) models. The results show a significant positive connection between the digital economy and sustainable urban economic development. The findings also demonstrate the significant moderating roles of human capital and government support in enhancing the connection between the digital economy and sustainable urban development. Finally, this study recommends policy implications to improve the quality of life and stimulate growth in urban areas of China. Full article

Researchers using machine learning methods for classification can face challenges due to class imbalance, where a certain class is underrepresented. Over or under-sampling of minority or majority class observations, or solely relying on model selection for ensemble methods, may prove ineffective when the class imbalance ratio is extremely high. To address this issue, this paper proposes a method called enhance tree ensemble (ETE), based on generating synthetic data for minority class observations in conjunction with tree selection based on their performance on the training data. The proposed method first generates minority class instances to balance the training data and then uses the idea of tree selection by leveraging out-of-bag (${\mathrm{E}\mathrm{T}\mathrm{E}}_{\mathrm{O}\mathrm{O}\mathrm{B}}$) and sub-samples (${\mathrm{E}\mathrm{T}\mathrm{E}}_{\mathrm{S}\mathrm{S}}$) observations, respectively. The efficacy of the proposed method is assessed using twenty benchmark problems for binary classification with moderate to extreme class imbalance, comparing it against other well-known methods such as optimal tree ensemble (OTE), SMOTE random forest (${RF}_{SMOTE}$), oversampling random forest (${\mathrm{R}\mathrm{F}}_{\mathrm{O}\mathrm{S}}$), under-sampling random forest (${\mathrm{R}\mathrm{F}}_{\mathrm{U}\mathrm{S}}$), k-nearest neighbor (k-NN), support vector machine (SVM), tree, and artificial neural network (ANN). Performance metrics such as classification error rate and precision are used for evaluation purposes. The analyses of the study revealed that the proposed method, based on data balancing and model selection, yielded better results than the other methods. Full article

Objective: We aimed to describe the clinical characteristics associated with severity in children hospitalized with COVID-19. Method: This was an epidemiological cohort study conducted in two hospitals, one of which was a reference center for the treatment of COVID-19 cases. Data were collected from the reports generated by the hospital epidemiology centers and the medical records of patients aged between 0 and 14 years with a diagnosis of COVID-19, hospitalized between March 2020 and June 2021. To analyze the association between the clinical profile and severity, the cases were classified as severe (severe and critical) and non-severe (asymptomatic, mild, and moderate). Results: Of the 191 children followed up in the cohort, 73.3% developed the severe form. The percentage of children with oxygen saturation below 95% was 46.6%. In the multivariate analysis, a higher risk of severity was estimated among children with uncontrolled asthma (RR = 13.2), who were overweight or obese (RR = 3.21), who had cough symptoms (RR = 2.72), and those aged under one year (RR = 3.23). Conclusions: This result underscores the need to improve healthcare at every level for children and for the management of asthma and nutrition when considering children with this clinical profile who are diagnosed with COVID-19. Full article

Background/Objectives: Body composition (BC) affects the risk of developing metabolic dysfunction-associated steatotic liver disease (MASLD) and hypertension (HTN). Currently, dual-energy X-ray absorptiometry (DEXA) is considered the gold standard for assessing BC, even though it has some limitations, including immobility, ionizing radiation, and patient weight restrictions. The aim of the study was to evaluate the correlations of BC parameters measured by bioelectrical impedance analysis (BIA) with those measured by DEXA in patients with MASLD and HTN. Methods: Overall, 78 patients with MASLD and HTN underwent the following study procedures: compilation of an anamnesis, physical examination of a patient, laboratory tests, abdominal ultrasound, BIA, DEXA, and anthropometric measurements. Results: The agreement between BIA and DEXA in diagnosing reduced skeletal muscle mass (SMM) in patients with MASLD and HTN was moderate (kappa values were 0.440 and 0.404 in males and females, respectively). Significant strong direct correlations were found between fat mass (FM) and body fat percentage measured by BIA with corresponding measurements by DEXA (p < 0.001 for both). The area under the receiver operating characteristic curves (AUC) of SMM to body weight ratios calculated using BIA data were 0.834 and 0.929 for reduced appendicular SMM determined by DEXA in males and females with MASLD and HTN, respectively. Conclusions: In conclusion, BIA is an easy-to-use and widely available tool for assessing SMM and FM in patients with MASLD and HTN, demonstrating reliable agreement with DEXA measurement results and completely free of its limitations. Full article

Field surveys and sample analyses were conducted from January 2018 to December 2019 on Daye Lake, Cihu Lake, Baoan Lake, and Xiandao Lake to understand the water quality characteristics of typical lakes in southeast Hubei. A fuzzy comprehensive evaluation was conducted and the comprehensive trophic level index was applied to evaluate the lakes’ water quality. The results showed differences in the regional, spatial, and temporal distributions of physical and chemical indicators in typical lakes in southeast Hubei. The fuzzy comprehensive evaluation showed that the water quality levels in Daye, Cihu, Baoan, and Xiandao Lakes for 2018 and 2019 were IV, IV, III, and II and V, IV, III, and II, respectively, with seasonal variations in water quality occurring during the year. The trophic level index results showed that Cihu Lake was mildly eutrophic in 2018 and moderately eutrophic in 2019, and Daye, Baoan, and Xiandao Lakes were mildly eutrophic, mildly eutrophic, and mesotrophic, respectively. Lake water quality was influenced by land use types, landscape configuration, inflowing rivers, precipitation, and interactions between land use and seasons. This study helps us to understand the trend and causes of lake pollution in Southeast Hubei, which is conducive to watershed management and the control of water quality deterioration, and also has an important role in regulating the sustainable development of industry and agriculture in the watershed. Full article

The development of green products in manufacturing enterprises is challenged by limited independent innovation capabilities and insufficient green technology. Based on knowledge-based theory, this study investigates the influence of boundary-spanning green technology search (BGTS) and technology integration capability (TIC) on green product development performance (GPDP). Using polynomial regression analysis with response surface methodology (PRA with RSM) on data from 341 companies, the following findings were obtained: (1) Higher levels of BGTS and TIC congruence are associated with higher GPDP compared to lower levels of congruence. (2) The degree of discrepancy between the BGTS and TIC has an inverted U-shaped relationship with GPDP. (3) GPDP is higher in the “low BGTS–high TIC” combination than in the “high BGTS–low TIC” combination. (4) Green technology innovation capability mediates the relationship between BGTS-TIC congruence and GPDP. (5) Strategic foresight positively moderates the relationship between the BGTS-TIC congruence and green technology innovation capability. These findings enrich the research content of organizational search theory, deepen the research of green technology innovation, expand research on the development of green products, and provide a decision-making reference for manufacturing enterprises’ green transition practices. Full article

Background: Depression is the most common mental illness in the world, found in nearly three in ten adolescents globally. This study aims to evaluate the prevalence of antidepressant prescriptions and the types of antidepressant therapy administered among adolescents diagnosed with depression in Germany. Methods: This retrospective cohort study, based on data provided by 30 child and adolescent psychiatrists, included adolescents aged 13–17 years with an initial diagnosis of depression between 2010 and 2022 (index date) documented in the IQVIA^TM Disease Analyzer database. Kaplan–Meier curves were used to investigate the one-year cumulative incidence of antidepressant prescriptions stratified by age, sex, and depression severity. Multivariable Cox regression analyses were used to assess the association between age, sex, depression severity, co-diagnoses, and antidepressant drug prescription. Results: A total of 6338 adolescents (mean age: 16 years, 67% female, 59% with moderate depression) were available. The cumulative incidence of antidepressant prescriptions was 61% and increased with age from 13 years old to 17 years old. Fluoxetine was the most prescribed drug, followed by Sertraline, Escitalopram, Serotonin and Norepinephrine reuptake inhibitors, herbal medications, and Mirtazapine. Obsessive–compulsive disorder and eating disorders were found to be significantly associated with antidepressant prescriptions within the spectrum of co-diagnosed conditions. Conclusions: Higher age, depression severity, and a co-diagnosis of an obsessive–compulsive disorder or eating disorder were significantly positively associated with antidepressant prescriptions in adolescents. Fluoxetine was the most frequently prescribed drug for depression. Full article

Given the overwhelming literature on the beneficial effects of exercise, it is surprising that many individuals do not meet current physical activity guidelines. Among the most often cited reasons for nonadherence to exercise are a lack of time and lack of enjoyment. However, recent technology has provided a new mode of exercise that could change an individual’s perception of exercise. Purpose: Compare in-task valance during and enjoyment after a bout of moderate-intensity continuous exercise (MICE) and virtual reality boxing (VRB). Methods: Participants [N = 20, 8 females; age (M ± SD); 26.1 ± 7.2 yrs; BMI (M ± SD); 26.4 ± 5.8] completed a 5 min warm-up, 20 min MICE and VRB workout, and a 5 min cool-down. The in-task valance, heart rate, and rating of perceived exertion (RPE) were assessed during, and enjoyment was assessed immediately after each condition. Results: Participants reported more positive in-task valence [Cohen’s d = 0.59] and greater post-exercise enjoyment [Cohen’s d = 1.76] during VRB relative to MICE. Further, participants reported higher RPE [Cohen’s d = 0.53] and heart rates [Cohen’s d = 0.52] during VRB. Conclusion: Virtual reality boxing resulted in significantly greater in-task valence and post-exercise enjoyment relative to traditional cardio. As both in-task valence and enjoyment have been linked to exercise adherence, virtual reality exercise should be considered as a means to increase exercise adherence. Full article

The current study investigates the influence of several R substituents (e.g., Me, SiH₃, F, Cl, Br, OH, NH₂, etc.) on the aromaticity of borazine, also known as the “inorganic benzene”. By performing hybrid DFT methods, blended with several computational techniques, e.g., Natural Bond Orbital (NBO), Quantum Theory of Atoms in Molecules (QTAIM), Gauge-Including Magnetically Induced Current (GIMIC), Nucleus-Independent Chemical Shift (NICS), and following a simultaneous evaluation of four different aromaticity indices (para-delocalization index (PDI), multi-centre bond order (MCBO), ring current strength (RCS), and NICS parameters), it is emphasized that the aromatic character of B-substituted (B₃R₃N₃H₃) and N-substituted (B₃H₃N₃R₃) borazine derivatives can be tailored by modulating the electronic effects of R groups. It is also highlighted that the position of R substituents on the ring structure is crucial in tuning the aromaticity. Systematic comparisons of calculated aromaticity index values (i.e., via regression analyses and correlation matrices) ensure that the reported trends in aromaticity variation are accurately described, while the influence of different R groups on electron delocalization and related aromaticity phenomena is quantitatively assessed based on NBO analyses. The most relevant interactions impacting the aromatic character of investigated systems are (i) the electron conjugations occurring between the p lone pair electrons (LP) on the F, Cl, Br, O or N atoms, of R groups, and the π*(B=N) orbitals on the borazine ring (i.e., LP(R)→π*(B=N) donations), and (ii) the steric-exchange (Pauli) interactions between the same LP and the π(B=N) bonds (i.e., LP(R)↔π(B=N) repulsions), while inductive/field effects influence the aromaticity of the investigated trisubstituted borazine systems to a much lesser extent. This work highlights that although the aromatic character of borazine can be enhanced by grafting electron-donor substituents (F, OH, NH₂, O⁻, NH⁻) on the N atoms, the stabilization due to aromaticity has only a moderate impact on these systems. By replacing the H substituents on the B atoms with similar R groups, the aromatic character of borazine is decreased due to strong exocyclic LP(R)→π*(B=N) donations affecting the delocalization of π-electrons on the borazine ring. Full article

Background: We report on the cost-effectiveness of photobiomodulation (PBM) for the prevention and treatment of oral mucositis (OM) derived from the cytotoxic effects of antineoplastic therapy. Methods: This review followed the PRISMA 2020 guidelines. A search was conducted in PubMed, Scopus, Web of Science, Embase, and OpenGrey. Articles published before 23 July 2024, were included. Randomized controlled trials (RCTs) that included patients with head and neck cancer undergoing chemotherapy and/or radiotherapy and a placebo group compared to an intervention group (PBM) were selected. The risk of bias was evaluated using the Joanna Briggs Institute tools. The certainty of the evidence was assessed using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach and was rated as moderate. Results: A total of 3 RCTs and 229 patients were included. PBM may represent an additional cost in the short term, but the incremental expenses derived from the cytotoxic effects of antineoplastic therapy are greater in the medium–long term. The intervention group (PBM) showed a lower incidence of severe OM compared to the control group (placebo). Conclusions: PBM is a cost-effective long-term treatment, effective in preventing severe OM and improving the quality of life of cancer patients. More RCTs following the same standardized protocols are needed (registration CDR42024498825). Full article