Search Results (1,096)

Employee turnover remains a critical challenge for organizations, prompting an examination of how leadership approaches influence employees’ intentions to leave. This study investigates the impact of transformational leadership on turnover intention, focusing on emotional exhaustion and creativity as potential mediators. The study employs a quantitative design grounded in leadership and organizational psychology theory and surveys 182 professionals working in the information technology sector across Bosnia and Herzegovina, Croatia, Serbia, and Montenegro. Structural equation modeling reveals that transformational leadership reduces turnover intention by alleviating emotional exhaustion, highlighting the importance of psychological well-being in employee retention. While transformational leadership enhances employee creativity, creativity did not significantly mediate turnover intention in this context. These findings suggest that strategies that foster engagement and reduce burnout in knowledge-intensive industries can strengthen organizational commitment and improve retention. This study contributes to the understanding of behavioral mechanisms linking leadership to employee outcomes and offers actionable insights for modern organizations aiming to address turnover through supportive, empowering leadership practices. Additional mediators and contextual variables should be explored in further research. Full article

Cardiorespiratory fitness is a predictor of long-term health, traditionally assessed through structured exercise protocols that require maximal effort and controlled laboratory conditions. These protocols, while clinically validated, are often inaccessible, physically demanding, and unsuitable for unsupervised monitoring. This study proposes a non-invasive, unsupervised alternative—predicting the heart rate a person would reach after completing the step test, using wearable data collected during natural daily activities. Ground truth post-exercise heart rate was obtained through the Queens College Step Test, which is a submaximal protocol widely used in fitness settings. Separately, wearable sensors recorded heart rate (HR), blood oxygen saturation, and motion data during a protocol of lifestyle tasks spanning a range of intensities. Two machine learning models were developed—a Human Activity Recognition (HAR) model that classified daily activities from inertial data with 96.93% accuracy, and a regression model that estimated post step test HR using motion features, physiological trends, and demographic context. The regression model achieved an average root mean squared error (RMSE) of 5.13 beats per minute (bpm) and a mean absolute error (MAE) of 4.37 bpm. These findings demonstrate the potential of test-free methods to estimate standardized test outcomes from daily activity data, offering an accessible pathway to infer cardiorespiratory fitness. Full article

Aim: To analyze the burden of road injuries in Colombia from 1990 to 2021, disaggregated by sex, age groups, and road injury category. Methods: Observational study based on the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021. National data on prevalence, incidence, mortality, years of life lost (YLL), years lived with disability (YLD), and disability-adjusted life-years (DALY) were obtained. Data are reported in years and age-standardized and age-specific rates per 100,000 inhabitants. A log-linear segmented regression model was employed to analyze trends in DALY rates of road injuries from 1990 to 2021. Results: From 1990 to 2021, the age-standardized prevalence and incidence rates (per 100,000 inhabitants) due to road injury decreased by −30.6% (95% UI: −34.3; −26.4) and −27.5% (95% UI: −30.7; −24.4), respectively. The age-standardized mortality rate trend of road injuries decreased by −40.6% (95% UI: −50.0; −31.0). Meanwhile, the age-standardized DALY rate decreased by −39.7% (95% UI: −47.9; −31.3) during the study period. In all indicators, men’s rates were higher than women’s. By road injury category, the age-standardized rates increased significantly for motorcyclist road injuries, particularly among men. Conclusions: Road injuries in Colombia have declined but remain significant, especially for young men. Motorcycle injuries show alarming increases in mortality and DALY rates. Full article

Accurate estimation of upper-limb joint angles is essential in biomechanics, rehabilitation, and wearable robotics. While inertial measurement units (IMUs) offer portability and flexibility, systems requiring multiple inertial sensors can be intrusive and complex to deploy. In contrast, optical motion capture (MoCap) systems provide precise tracking but are constrained to controlled laboratory environments. This study presents a deep learning-based approach for estimating shoulder and elbow joint angles using only three IMU sensors positioned on the chest and both wrists, validated against reference angles obtained from a MoCap system. The input data includes Euler angles, accelerometer, and gyroscope data, synchronized and segmented into sliding windows. Two recurrent neural network architectures, Convolutional Neural Network with Long-short Term Memory (CNN-LSTM) and Bidirectional LSTM (BLSTM), were trained and evaluated using identical conditions. The CNN component enabled the LSTM to extract spatial features that enhance sequential pattern learning, improving angle reconstruction. Both models achieved accurate estimation performance: CNN-LSTM yielded lower Mean Absolute Error (MAE) in smooth trajectories, while BLSTM provided smoother predictions but underestimated some peak movements, especially in the primary axes of rotation. These findings support the development of scalable, deep learning-based wearable systems and contribute to future applications in clinical assessment, sports performance analysis, and human motion research. Full article

Background: Despite distinct etiologies, type 1 diabetes (T1D) and type 2 diabetes (T2D) share chronic inflammation as a core feature. Interleukins, key immune mediators, play important yet still not fully understood roles in the development and complications of both conditions. Objective: This narrative review aims to provide a comprehensive and critical synthesis of current evidence on the role of key interleukins in T1D and T2D, highlighting their immunological functions, genetic associations, clinical correlations, and translational potential. Methods: A targeted literature search was conducted in PubMed, Google Scholar, and ScienceDirect up to January 2025, focusing on English-language clinical and experimental studies involving interleukins and their relevance to T1D and T2D. Reference lists were manually screened for additional sources. Interleukins (ILs) were reviewed individually to assess their immunobiology, disease specificity, and biomarker or therapeutic value. Findings: Pro-inflammatory cytokines such as IL-1β, IL-6, and IL-17 contribute to islet inflammation, insulin resistance, and microvascular damage in both T1D and T2D. Anti-inflammatory mediators including IL-4, IL-10, and IL-13 exhibit protective effects but vary in expression across disease stages. Less-characterized interleukins such as IL-3, IL-5, IL-9, and IL-27 demonstrate dual or context-dependent roles, particularly in shaping immune tolerance and tissue-specific complications such as nephropathy and neuropathy. Polymorphisms in IL-10 and IL-6 genes further suggest genetic contributions to interleukin dysregulation and metabolic dysfunction. Despite promising insights, translational gaps persist due to overreliance on preclinical models and limited longitudinal clinical data. Conclusions: Interleukins represent a mechanistic bridge linking immune dysregulation to metabolic derangements in both T1D and T2D. While their diagnostic and therapeutic potential is increasingly recognized, future research must address current limitations through isoform-specific targeting, context-aware interventions, and validation in large-scale, human cohorts. A unified interleukin-based framework may ultimately advance personalized strategies for diabetes prevention and treatment. Full article

Psoriasis is a chronic inflammatory skin disorder involving oxidative stress and immune dysregulation. Given the limitations and adverse effects of conventional therapies, interest in natural treatments with anti-oxidant and immunomodulatory properties is increasing. This study aimed to comprehensively evaluate the therapeutic potential of Galium verum extract in an imiquimod-induced rat model of psoriasis. The extract was chemically characterized by HPLC and evaluated for anti-oxidant activity using DPPH, ABTS, and FRAP assays. Molecular docking studies targeted psoriasis-related proteins (IL-17, IL-22, IL-23, JAK2, MAPK2, NF-κB, STAT3), revealing strong binding affinities for rutin and quercetin, the extract’s dominant bioactives. In vivo, 18 Wistar albino male rats were divided into control (CTRL), psoriasis (PSORI), and psoriasis treated with Galium verum (PSORI + GV) groups. A seven-day topical application of 5% imiquimod cream was used for the induction of psoriasis. The PSORI + GV group received 250 mg/kg Galium verum extract orally for 7 days. Morphometric and redox analyses were performed. Histological and morphometric analyses showed reduced epidermal thickness, inflammation, and collagen content. Redox analysis revealed lowered oxidative stress biomarkers and enhanced anti-oxidant defenses. These findings suggest that Galium verum extract exerts anti-psoriatic effects through antioxidative and immunomodulatory mechanisms, supporting its potential as a natural adjunct therapy for psoriasis. Full article

The aim of this systematic review was to examine the effects of high-intensity interval training (HIIT) on physical performance and body composition in female basketball players. The review followed PRISMA guidelines, and the protocol was registered in the PROSPERO database (registration number: CRD420251006285). A comprehensive search was conducted across PubMed, Scopus, Web of Science, and Google Scholar. Nine studies that met the inclusion criteria were analyzed, with intervention durations ranging from 4 to 12 weeks. Despite differences in protocols, a majority of studies reported improvements in VO_2max (6/9), explosive strength (7/9), agility (5/6), and speed (5/6) and reductions in body mass and fat percentage (3/3). These findings highlight HIIT as an effective method for enhancing both aerobic and anaerobic capacities, as well as optimizing body composition. Despite variations in study protocols, HIIT consistently offers improvements in performance, irrespective of training level. The results underscore the importance of HIIT in preparing athletes, not only during the preseason but also throughout the competition period. Coaches should consider integrating HIIT into training programs, adjusting intensity and volume based on the season to optimize performance and prevent overtraining. Full article

Data over sound (DoS) is an established technique that has experienced a resurgence in recent years, finding applications in areas such as contactless payments, device pairing, authentication, presence detection, toys, and offline data transfer. This study introduces CardiaWhisper, a system that extends the DoS concept to the medical domain by using a medical data-over-sound (MDoS) framework. CardiaWhisper integrates wearable biomedical sensors with home care systems, edge or IoT gateways, and telemedical networks or cloud platforms. Using a transmitter device, vital signs such as ECG (electrocardiogram) signals, PPG (photoplethysmogram) signals, RR (respiratory rate), and ACC (acceleration/movement) are sensed, conditioned, encoded, and acoustically transmitted to a nearby receiver—typically a smartphone, tablet, or other gadget—and can be further relayed to edge and cloud infrastructures. As a case study, this paper presents the real-time transmission and processing of ECG signals. The transmitter integrates an ECG sensing module, an encoder (either a PLL-based FM modulator chip or a microcontroller), and a sound emitter in the form of a standard piezoelectric speaker. The receiver, in the form of a mobile phone, tablet, or desktop computer, captures the acoustic signal via its built-in microphone and executes software routines to decode the data. It then enables a range of control and visualization functions for both local and remote users. Emphasis is placed on describing the system architecture and its key components, as well as the software methodologies used for signal decoding on the receiver side, where several algorithms are implemented using open-source, platform-independent technologies, such as JavaScript, HTML, and CSS. While the main focus is on the transmission of analog data, digital data transmission is also illustrated. The CardiaWhisper system is evaluated across several performance parameters, including functionality, complexity, speed, noise immunity, power consumption, range, and cost-efficiency. Quantitative measurements of the signal-to-noise ratio (SNR) were performed in various realistic indoor scenarios, including different distances, obstacles, and noise environments. Preliminary results are presented, along with a discussion of design challenges, limitations, and feasible applications. Our experience demonstrates that CardiaWhisper provides a low-power, eco-friendly alternative to traditional RF or Bluetooth-based medical wearables in various applications. Full article

Electrostatic separation is a promising technology for the recovery of valuable metals from electronic waste, particularly from printed circuit boards (PCBs). This study explores the application of electrostatic separation for the selective recovery of metallic and non-metallic fractions from crushed PCBs (PCBs). The process exploits the differences in electrical properties between conductive metals and non-conductive polymers and ceramics, facilitating their separation through applied electric fields. The raw materials were pre-treated via mechanical comminution using shredders and hammer mills to achieve an optimal particle size distribution (<3 mm), which enhances separation efficiency. Ferrous materials were removed prior to electrostatic separation to improve process selectivity. Key operational parameters, including particle size, charge accumulation, environmental conditions, and separation efficiency, were systematically analysed. The results demonstrate that electrostatic separation effectively recovers high-value metals such as copper and gold while minimizing material losses. Additionally, the process contributes to the sustainability of e-waste recycling by enabling the recovery of non-metallic fractions for potential secondary applications. This work underscores the significance of electrostatic separation as a viable technique for e-waste management and highlights optimization strategies for enhancing its performance in large-scale recycling operations. Full article

Colorectal cancer (CRC) is characterized by complex interactions between inflammation, oxidative stress, and extracellular matrix remodeling. Recent studies have highlighted the significance of the reactive oxygen species (ROS)–nuclear factor kappa B (NF-κB)–matrix metalloproteinase-9 (MMP-9) axis in promoting tumor invasion and metastasis in CRC, linking oxidative stress with inflammatory signaling and extracellular matrix degradation. In this study, we analyzed the concentration of advanced oxidation protein products (AOPPs), expression of NF-κB, and the activity of MMP-9 in tumor tissue, adjacent tissue, and healthy control colon tissue. Tissue specimens were collected from 50 patients with primary CRC following surgical resection. The analyses were performed using appropriate and validated biochemical methods, including ELISA, spectrophotometry, and indirect immunofluorescence. Significantly higher levels of all three markers were observed in tumor tissue compared to controls. Additionally, adjacent tissue exhibited elevated NF-κB expression and MMP-9 activity when compared to healthy colon tissue. AOPP levels correlated strongly with MMP-9 activity, highlighting the role of oxidative stress in the activation of MMP-9. MMP-9 demonstrated the highest predictive value for CRC, emphasizing its potential as a diagnostic and theranostic marker. Our findings support the hypothesis that the ROS–NF-κB–MMP-9 axis plays an important role in CRC progression, particularly during stages T2 and T3. Targeting this pathway may offer new therapeutic strategies for limiting tumor invasion and recurrence. Moreover, ensuring adequate surgical resection margins is crucial to optimizing treatment outcomes. Full article

Background: The European League Against Rheumatism (EULAR), in collaboration with the European Scleroderma Trial and Research group (EUSTAR), published the first set of treatment recommendations for systemic sclerosis (SSc) in 2009, with subsequent updates in 2016 and 2023. Objectives: This study aimed to evaluate how rheumatologists’ clinical approaches to the treatment of SSc evolved following the 2016 update of the clinical management guidelines. Methods: Medication use for SSc was analyzed in a cohort of 378 patients. The patients were stratified based on enrollment before (233 patients) and after (145 patients) the guideline update, and medication usage was compared between the two groups. Results: Although all patients presented with Raynaud’s phenomenon (RP), only 35% received calcium channel blockers. Medications such as iloprost, phosphodiesterase type 5 (PDE-5) inhibitors, fluoxetine, and bosentan, recommended for the treatment of RP and digital ulcers, were not approved for SSc by the Republic Health Insurance Fund. Treatment for pulmonary arterial hypertension (PAH) was administered to only 16 patients (4.2%), including 2 who received bosentan, 10 who received PDE-5 inhibitors, and 4 who were treated with riociguat. The use of PDE-5 inhibitors increased following the 2016 update of the guidelines. Cyclophosphamide was consistently prescribed for interstitial lung disease (ILD), with an increased frequency observed after the guideline update. No significant differences were observed in the use of methotrexate for skin involvement, ACE inhibitors for scleroderma renal crisis, or antibiotics for gastrointestinal symptoms. Proton pump inhibitors (PPIs) were prescribed to 87.3% of patients with gastrointestinal involvement, with an increase in use of both PPIs and prokinetic agents following the guideline update. Conclusions: Rheumatologists’ adherence to the EULAR/EUSTAR guidelines varied considerably, with 25% to 100% of eligible patients receiving the recommended treatments. Concordance improved in the management of PAH, ILD, and gastrointestinal involvement after the 2016 guideline update. Full article

Background and Aim: Digital surveillance, which utilizes data from social media, search engines, and other online platforms, has emerged as an innovative approach for the early detection of infectious disease outbreaks. This scoping review aimed to systematically map and characterize the methodologies, performance metrics, and limitations of digital surveillance tools compared to traditional epidemiological monitoring. Methods: A scoping review was conducted in accordance with the Joanna Briggs Institute and PRISMA-SCR guidelines. Scientific databases including PubMed, Scopus, and Web of Science were searched, incorporating both empirical studies and systematic reviews without language restrictions. Key elements analyzed included digital sources, analytical algorithms, accuracy metrics, and validation against official surveillance data. Results: The reviewed studies demonstrate that digital surveillance can provide significant lead times (from days to several weeks) compared to traditional systems. While performance varies by platform and disease, many models showed strong correlations (r > 0.8) with official case data and achieved low predictive errors, particularly for influenza and COVID-19. Google Trends and X (formerly Twitter) emerged as the most frequently used sources, often analyzed using supervised regression, Bayesian models, and ARIMA techniques. Conclusions: While digital surveillance shows strong predictive capabilities, it faces challenges related to data quality and representativeness. Key recommendations include the development of standardized reporting guidelines to improve comparability across studies, the use of statistical techniques like stratification and model weighting to mitigate demographic biases, and leveraging advanced artificial intelligence to differentiate genuine health signals from media-driven noise. These steps are crucial for enhancing the reliability and equity of digital epidemiological monitoring. Full article

To assess the association between known (PlGF, sFlt-1, betaHCG, PAPPA) and novel (cell-free DNA, cfDNA, and total endothelial and platelet microvesicles, MVs) maternal blood biomarkers measured at the first trimester with the later development of preeclampsia (PE) and PE-related severe adverse events (SAE), we conducted a retrospective case–control study including women with an established diagnosis of preeclampsia (cases) and healthy pregnant women (controls). Biomarkers were measured from first-trimester blood samples stored in a hospital biobank. A total of 89 women, 54 women with PE and 35 controls were included. PlGF showed good performance for diagnosing overall preeclampsia (AUC: 0.71; 95% CI 0.59–0.82), early-onset preeclampsia (AUC 0.80; 95% CI 0.68–0.9) and fetal-neonatal SAEs (AUC: 0.73; 95% CI 0.63–0.84). Multivariate models including clinical variables, PlGF and other biomarkers showed good to very good discrimination for the development of PE, early-onset PE and fetal-neonatal SAEs (AUCs of 0.87, 0.89 and 0.79, respectively). Platelet-derived MVs were the best isolated biomarker for late-onset PE and, combined with systolic blood pressure, showed good discrimination (AUC: 0.81; 95% CI 0.71–0.92). For maternal SAEs, a model incorporating cfDNA and sFlt-1 provided excellent discrimination (AUC 0.92; 95% CI 0.82–1.00). Our findings suggest that multivariate models incorporating both clinical variables and first-trimester biomarkers may improve risk stratification for PE, especially for late-onset PE and for identifying women at risk of severe maternal or fetal complications. Notably, the inclusion of novel biomarkers such as cfDNA and MVs added value in clinical scenarios where the predictive performance of existing tools remains suboptimal. Full article

In the context of increasingly complex and dynamic maritime logistics, seaports serve as critical nodes for intermodal transport, energy distribution, and global trade. Ensuring the safe and uninterrupted operation of port infrastructure—particularly berths—is vital for maintaining supply chain resilience. This study explores the impact of multiple risk categories on berth efficiency in a seaport, aligning with the growing emphasis on maritime safety and risk-informed decision-making. A two-stage methodology is adopted. In the first phase, the DEA CCR input-oriented model is employed to assess the efficiency of selected berths considered as Decision Making Units (DMUs). In the second phase, the Analytical Hierarchy Process (AHP) is used to categorize and quantify the impact of four major risk classes—operational, technical, safety, and environmental—on berth efficiency. The results demonstrate that operational and safety risks contribute 63.91% of the composite weight in the AHP risk assessment hierarchy. These findings are highly relevant to contemporary efforts in maritime risk modeling, especially for individual ports and port systems with high berth utilization and vulnerability to system disruptions. The proposed integrated approach offers a scalable and replicable decision-support tool for port authorities, port operators, planners, and maritime safety stakeholders, enabling proactive risk mitigation, optimal utilization of available resources in a port, and improved berth performance. Its methodological design is appropriately suited to support further applications in port resilience frameworks and maritime safety strategies, being one of the bases for establishing collision avoidance strategies related to an individual port and/or port system, too. Full article