Search Results (7,094)

Background: In high-altitude regions, sporadic two-year-old immature Chinese mitten crabs (Eriocheir sinensis) would overwinter and mature in their third year, developing into three-year-old crabs (THCs) with a cold-adaptive strategy. Compared to two-year-old crabs (TWCs) from low-altitude Jiangsu, THCs from Karst landform and high-altitude Guizhou exhibit significantly larger final size but lower gonadosomatic index (GSI) (p < 0.01). Methods: To elucidate the molecular mechanisms underlying this delayed ovarian development, integrated transcriptomic and proteomic analyses were conducted. Results: Results showed downregulation of PI3K-Akt and FoxO signaling pathways, as well as upregulation of protein digestion and absorption pathways. Differentially expressed proteins indicated alterations in mitochondrial energy transduction and nutrient assimilation. Integrated omics analysis revealed significant changes in nucleic acid metabolism, proteostasis, and stress response, indicating systemic reorganization in energy-nutrient coordination and developmental plasticity. Conclusions: The observed growth-reproductive inverse relationship reflects an adaptive life-history trade-off under chronic cold stress, whereby energy repartitioning prioritizes somatic growth over gonadal investment. Our transcriptomic and proteomic data further suggest a pivotal regulatory role for FOXO3 dephosphorylation in potentially coupling altered energy sensing to reproductive suppression. This inferred mechanism reveals a potential conserved pathway for environmental adaptation in crustaceans, warranting further functional validation. Full article

Background/Objective: The overnight 1-mg dexamethasone suppression test (DST) represents the conventional/standard tool for endogenous hypercortisolemia screening, typically in relationship with adrenal and pituitary masses. Nevertheless, an associated spectrum of challenges and pitfalls is found in daily practice. This analysis aimed to evaluate: (I.) the diagnosis relevance of 1-mg DST in patients with adrenal incidentalomas (AIs) with/without mild autonomous cortisol secretion (MACS) exploring different cutoffs of the second-day plasma cortisol after dexamethasone administration (cs-DST) with respect to cardio-metabolic outcomes; (II.) the potential utility of adding other biomarkers to DST [plasma morning adrenocorticotropic hormone (ACTH), 24-h urinary free cortisol (UFC), late-night salivary cortisol (LNSC), dehydroepiandrosterone sulfate (DHEAS)]; and (III.) DST variability in time. Methods: This narrative analysis was based on searching full-text, English articles in PubMed (between January 2023 and April 2025) via using different term combinations: “dexamethasone suppression test” (n = 239), “diagnosis test for autonomous cortisol secretion” (n = 22), “diagnosis test for mild autonomous cortisol secretion” (n = 13) and “diagnosis test for Cushing Syndrome” (n = 61). We manually checked the title and abstract and finally included only the studies that provided hormonal testing results in adults with non-functional adenomas (NFAs) ± MACS. We excluded: reviews, meta-analyses, editorials, conference abstracts, case reports, and case series; non-human research; studies that did not provide clear criteria for distinguishing between Cushing syndrome and MACS; primary aldosteronism. Results: The sample-focused analysis (n = 13 studies) involved various designs: cross-sectional (n = 4), prospective (n = 1), retrospective (n = 7), and cohort (n = 1); a total of 4203 patients (female-to-male ratio = 1.45), mean age of 59.92 years. I. Cs-DST cutoffs varied among the studies (n = 6), specifically, 0.87, 0.9, 1.2, and 1.4 µg/dL in relationship with the cardio-metabolic outcomes. After adjusting for age (n = 1), only the prevalence of cardiovascular disease remained significantly higher in >0.9 µg/dL vs. ≤0.9 group (OR = 2.23). Multivariate analysis (n = 1) found cs-DST between 1.2 and 1.79 µg/dL was independently associated with hypertension (OR = 1.55, 95%CI: 1.08–2.23, p = 0.018), diabetes (OR = 1.60, 95%CI: 1.01–2.57, p = 0.045), and their combination (OR = 1.96, 95%CI:1.12–3.41, p = 0.018) after adjusting for age, gender, obesity, and dyslipidemia. A higher cs-DST was associated with a lower estimated glomerular filtration rate (eGFR), independently of traditional cardiovascular risk factors. Post-adrenalectomy eGFR improvement was more pronounced in younger individuals, those with lower eGFR before surgery, and with a longer post-operative follow-up. Cs-DST (n = 1) was strongly associated with AIs size and weakly associated with age, body mass index and eGFR. Cortisol level increased by 9% (95% CI: 6–11%) for each 10 mL/min/1.73 m² decrease in eGFR. A lower cs-DST was associated with a faster post-adrenalectomy function recovery; the co-diagnosis of diabetes reduced the likelihood of this recovery (OR = 24.55, p = 0.036). II. Additional biomarkers assays (n = 5) showed effectiveness only for lower DHEAS to pinpoint MACS amid AIs (n = 2, cutoffs of <49.31 µg/dL, respectively, <75 µg/dL), and lower ACTH (n = 1, <12.6 pmol/L). III. Longitudinal analysis of DST’s results (n = 3): 22% of NFAS switch to MACS after a median of 35.7 months (n = 1), respectively, 29% (n = 1) after 48.6 ± 12.5 months, 11.8% (n = 1) after 40.4 ± 51.17 months. A multifactorial model of prediction showed the lowest risk of switch (2.4%) in individuals < 50 years with unilateral tumor and cs-DST < 0.45 µg/dL. In the subgroup of subjects without cardio-metabolic comorbidities at presentation, 25.6% developed ≥1 comorbidities during surveillance. Conclusions: The importance of exploring the domain of AIs/NFAs/MACS relates to an increasing detection in aging population, hence, the importance of their optimum hormonal characterization and identifying/forestalling cardio-metabolic consequences. The spectrum of additional biomarkers in MACS (other than DST) remains heterogeneous and still controversial, noting the importance of their cost-effectiveness, and availability in daily practice. Cs-DST serves as an independent predictor of cardio-metabolic outcomes, kidney dysfunction, while adrenalectomy may correct them in both MACS and NFAs, especially in younger population. Moreover, it serves as a predictor of switching the NFA into MACS category during surveillance. Changing the hormonal behavior over time implies awareness, since it increases the overall disease burden. Full article

Moving beyond Gross Domestic Product (GDP) as the sole measure of economic performance is increasingly critical for addressing the complex challenges of sustainable development. The Inclusive Wealth Index (IWI) offers a more comprehensive framework for assessing long-term sustainability by accounting for changes in produced, human, and natural capital. This paper contributes to this debate by examining the comparative dynamics of these three forms of capital in Greece in relation to European Union averages. Specifically, we employ a repeated-measures design and the mixed ANOVA method to analyse their interactions over time (1990–2020) and across regional contexts. The novelty is to cover the research gap on how the different capitals interact, with Greece serving as a critical case given its environmental vulnerabilities, economic challenges, and position within the European sustainability agenda. The empirical results demonstrate a consistent hierarchy (human > produced > natural), significant growth over time, and pronounced regional disparities, with Western and Northern Europe outperforming Eastern and Southern Europe in overall capital stocks. Moreover, human, produced, and natural capital differed significantly (${\eta }_p^2=0.967)$, with the EU-27 dominated by human and produced capital, while Greece lagged substantially (${\eta }_p^2=0.71$). A robust interaction effect indicated structural divergence (${\eta }_p^2=0.811$). The pairwise comparisons confirmed these results with very large effect sizes (Cohen’s d = 2.3–11.2 in the 95% CI). These findings underscore the importance of moving beyond GDP and highlight the policy relevance of inclusive wealth accounting for ensuring resilience and intergenerational equity. Full article

High-definition (HD) maps are essential for safe and reliable autonomous driving, but their growing size and the need for real-time updates pose significant challenges for in-vehicle storage and communication efficiency. This study proposes a lightweight and scalable HD map provisioning system based on Geohash spatial indexing and Smart Roadside Units (Smart RSUs). The system divides HD map data into Geohash-based spatial blocks and enables vehicles to request only the map segments corresponding to their current location, reducing storage burden and communication load. To validate the system’s effectiveness, we constructed a simulation environment where multiple vehicle clients simultaneously request map data from a Smart RSU. Experimental results showed that the proposed Geohash-based approach achieved an average response time (RTT) of 1244.82 ms—approximately 296.3% faster than the conventional GPS-based spatial query method—and improved database query performance by 1072.6%. Additionally, we demonstrate the system’s scalability by adjusting Geohash levels according to road density, using finer blocks in urban areas and coarser blocks in rural areas. The hierarchical nature of Geohash also enables consistent integration of blocks with different resolutions. These results confirm that the proposed method provides an efficient and real-time HD map delivery framework suitable for dynamic and dense traffic environments. Full article

Background/Objectives: The objective of this study is to compare the optical and visual quality provided by the advanced monofocal intraocular lens (IOL) ISOPure and the standard monofocal IOL MicroPure in cataract patients, using objective and subjective assessments. Methods: This prospective, single-blind clinical study includes 28 patients with cataracts, bilaterally implanted with either the ISOPure or MicroPure IOL. Eligible eyes had no ocular comorbidities and regular corneal astigmatism ≤ 1.00 D. Three months postoperatively, uncorrected distance and intermediate (UDVA, UIVA) and corrected distance and intermediate (CDVA, DCIVA) visual acuities were measured at 4 m, 80 cm, and 66 cm under photopic (85 cd/m²) and mesopic (3.5 cd/m²) conditions. Photic phenomena, including halo and glare, were evaluated. Objective optical quality was assessed using Objective Scattering Index (OSI), Modulation Transfer Function (MTF), Strehl Ratio (SR), and ocular aberrations. Subjective patient satisfaction was evaluated using Quality of Vision (QoV) and Catquest-9SF questionnaires. Results: Under photopic conditions, logMAR DCIVA at 80 cm, UIVA at 66 cm, and DCIVA at 66 cm were 0.18 ± 0.06, 0.25 ± 0.12, and 0.20 ± 0.13, respectively, for ISOPure, and 0.22 ± 0.06, 0.30 ± 0.09, and 0.25 ± 0.09 for MicroPure (p = 0.05, 0.02, and 0.05, respectively). No significant differences were observed in halo/glare size or intensity, OSI, MTF, or SR. However, statistically significant differences were found in higher-order total aberrations for pupil sizes of 3.0, 4.0 mm, and 5.0 mm. Questionnaires indicated greater satisfaction and functional intermediate vision with ISOPure. Conclusions: The ISOPure IOL offers superior intermediate vision without compromising distance vision, delivering a balanced combination of optical quality, functional performance, and patient satisfaction. Full article

Reducing energy consumption in belt conveyor systems is critical to improving the overall energy efficiency of lignite mining operations. This study presents a theoretical and empirical analysis of energy use in overburden and coal conveyors, with a focus on balancing the relationship between belt speed and load. Building on the theory of conveyor motion resistance, the energy consumption index (WskZE)—previously introduced by the authors—is revisited as a function of two key variables: belt speed (v) and real-time material flow rate (Q_r). Empirical validation was conducted using operational data from variable-speed conveyors in the Konin lignite mine and compared to similar-length conveyors in the Bełchatów mine. Energy consumption measurements allowed for the analysis of energy consumption for two different scenarios: (i) in the Bełchatów mine the belt speed was constant and the excavator capacity was variable and (ii) in the Konin mine the excavator capacity was kept constant and the conveyor belt speed was varied. The results confirm that WskZE is linearly dependent on belt speed and inversely proportional to throughput, as predicted by theoretical models. However, findings also show that lowering belt speed—while effective in reducing energy use—results in a higher proportion of power being consumed to move the belt and heavy idlers, especially when these components are sized for peak loads. This study suggests a revised conveyor design philosophy (a new paradigm) that emphasizes maximizing the mass ratio of transported material to moving components. Additionally, it recommends integrating real-time monitoring of energy performance indicators into mine control systems to enable energy-aware operational decisions. Full article

Nitrosamines, including N-nitroso diethylamine (NDEA) have emerged as pharmaceutical impurities and carcinogenic environmental contaminants of grave public health safety concerns. This study reports on the preparation and first use of cysteine–gold nanoparticles (CysAuNPs) for colorimetric detection of NDEA in human serum albumin (HSA) under physiological conditions. Molecular docking (MD) and molecular dynamic simulation (MDS) were performed to probe the interaction between NDEA and serum albumin. UV–visible absorption and fluorescence spectroscopy, dynamic light scattering (DLS), and transmission electron microscopy (TEM) imaging were used to characterize the synthesized CysAuNPs. These CysAuNPs show a UV–visible absorbance wavelength maxima (λ_max) at 377 nm and emission λ_max at 623 nm. Results from DLS measurement revealed the CysAuNPs’ uniform size distribution and high polydispersity index of 0.8. Microscopic imaging using TEM showed that CysAuNPs have spherical to nanoplate-like morphology. The addition of NDEA to HSA in the presence of CysAuNPs resulted in a remarkable increase in the absorbance of human serum albumin. The interaction of NDEA–CysAuNPs–HSA is plausibly facilitated by hydrogen bonding, sulfur linkages, or by Cys–NDEA-induced electrostatic and van der Waal interactions. These are due to the disruption of the disulfide bond linkage in Cys–Cys upon the addition of NDEA, causing the unfolding of the serum albumin and the dispersion of CysAuNPs. The combined use of molecular dynamic simulation and colorimetric experiment provided complementary data that allows robust analysis of NDEA in serum samples. In addition, the low cost of the UV–visible spectrophotometer and the easy preparation and optical sensitivity of CysAuNPs sensors are desirable, allowing the low detection limit of the CysAuNPs sensors, which are capable of detecting as little as 0.35 µM NDEA in serum albumin samples, making the protocol an attractive sensor for rapid detection of nitrosamines in biological samples. Full article

Background: Left ventricular myocardial work (MW) derived from non-invasive pressure–strain loops has emerged as a load-adjusted index of contractile performance. Its value for risk stratification in advanced heart failure (HF) remains uncertain. Methods: We retrospectively studied 151 consecutive patients with advanced HF undergoing comprehensive evaluation at our tertiary centre between January 2016 and December 2022. MW parameters—left ventricular global work index (LVGWI), global constructive work (LVGCW), global wasted work (LVGWW) and global work efficiency (LVGWE)—were derived from speckle-tracking echocardiography integrated with brachial blood pressure. Cardiopulmonary exercise testing (CPET), right heart catheterisation (RHC) and biochemical markers were obtained. Patients were stratified according to an LVGWI threshold of 600 mmHg%, identified by receiver operating characteristic (ROC) analysis for predicting the combined end point of cardiovascular mortality or HF hospitalisation. Correlations between MW and traditional indices were assessed, and event-free survival was analysed by Kaplan–Meier curves. Results: LVGWI correlated modestly with pVO₂ (r = 0.35, p = 0.01) and left ventricular ejection fraction (r = 0.42, p < 0.001) and inversely with NT-proBNP (r = −0.30, p = 0.03). LVGWI displayed the largest area under the curve (AUC 0.76 [95% confidence interval 0.65–0.85]) for predicting the combined end point compared with pVO₂ (AUC 0.73) and LVEF (AUC 0.67). Dichotomisation by LVGWI ≤ 600 mmHg% identified a high-risk group (Group A) with worse NYHA class, lower systolic blood pressure and reduced exercise capacity. After a median follow-up of 24 months, Group A exhibited significantly lower event-free survival (log-rank p = 0.02). Multivariable analysis was not performed owing to the limited sample size; therefore, findings should be interpreted with caution. Conclusions: In patients with advanced HF, left ventricular myocardial work, particularly LVGWI, provides incremental prognostic information beyond conventional markers. An LVGWI cut-off of 600 mmHg% derived from ROC analysis identified patients at increased risk of cardiovascular events and may inform timely referral for mechanical circulatory support or transplantation. Larger prospective studies are warranted to confirm these observations and to establish standardised thresholds across vendors. Full article

Rural tourism is one of the important measures used to realize the rural revitalization strategy in China. At the same time, the “action of prospering the border and enriching the people” is a crucial link in driving the economic development of border areas. With the continuous improvement of the G331 section of the Jilin Line, the development of rural tourism along the border has been accelerated. Therefore, reducing the livelihood vulnerability of farmers is conducive to promoting the rural revitalization strategy in China and consolidating the achievements of poverty alleviation and difficulties in tackling them. This paper takes Tumen City, Yanbian Korean Autonomous Prefecture, Jilin Province, as the sample area; takes Mapai Village, Bailong Village, Hexi Village, Liangshui Village, and Tingyan Village as the research objects; obtains survey data for 224 households through on-the-spot investigation; constructs an evaluation index system for farmers’ livelihood vulnerability in border rural tourist destinations based on the sustainable livelihood theory and the analysis framework of “exposure–sensitivity–adaptability”; calculates farmers’ livelihood vulnerability in this research area by the entropy method and the comprehensive index method; and classifies different villages’ and farmers’ livelihood vulnerability by the natural breakpoint method. By using the multiple linear regression method, this paper analyzes the factors influencing farmers’ livelihood vulnerability in border rural tourist destinations. The results show the following: (1) The overall livelihood vulnerability of farmers is negative, indicating that farmers have a certain ability to resist external risks, but the livelihood vulnerability of some investigated villages is positive, indicating that farmers’ ability to resist external risks is weak, which is closely related to village geographical environment, tourism market environment, family characteristics, and other factors. (2) The livelihood vulnerability of villages with relatively perfect tourism formats is low, which shows that tourism can effectively reduce the livelihood vulnerability of farmers to a certain extent. (3) The household head’s education level, the total price of agricultural machinery, annual income, the ability to borrow money, family size, the number of disabled people, and other factors have a significant influence on the livelihood vulnerability of farmers. Full article

Background: Insulin resistance (IR) is a central feature in the pathophysiology of type 2 diabetes and a major determinant of cardiovascular morbidity. While sociodemographic and lifestyle factors are established contributors, the role of social isolation as a potential determinant of IR remains underexplored in working populations. Objectives: To assess the association between sociodemographic variables, lifestyle habits, and social isolation with three validated insulin resistance indexes—Triglyceride–Glucose (TyG), Metabolic Score for Insulin Resistance (METS-IR), and Single Point Insulin Sensitivity Estimator (SPISE-IR)—in a large cohort of Spanish workers. Methods: A cross-sectional study was conducted involving 117,298 workers from occupational health centers across Spain. Sociodemographic data, lifestyle factors (Mediterranean diet adherence, physical activity, and smoking), and social support levels (ENRICHD Social Support Instrument) were recorded. Biochemical and anthropometric parameters were obtained through standardized protocols. Logistic regression models estimated the odds ratios (ORs) and 95% confidence intervals (CIs) for high IR risk across the three indexes, adjusting for potential confounders. Results: Male sex, older age, lower social class, smoking, low Mediterranean diet adherence, physical inactivity, and low social support were independently associated with higher odds of IR in all three indexes. The strongest associations were observed for physical inactivity (OR range 6.21–9.95) and low social support (OR range 1.98–3.76). Although effect sizes varied by index, patterns of association were consistent. Conclusions: Sociodemographic, lifestyle, and psychosocial factors, including social isolation, are strongly associated with insulin resistance in working populations. Integrating social support assessment into occupational health strategies may enhance early detection and prevention of IR and related cardiometabolic diseases. Full article

Background: Time-limited eating (TLE) improves body weight and metabolic health in adults; however, little is known about effects in younger populations (YP). TLE in adolescents can reduce calorie consumption, but studies have not demonstrated superior weight loss compared to other dietary practices. Minimal research exists into associations between eating window (EW) in YP and health outcomes. Methods: Three-day diet diaries (ages 7, 13 years) collected in the Avon Longitudinal Study of Parents and Children (ALSPAC) were used to calculate EW. Height, weight, body composition, blood pressure, and fasting bloods were recorded during clinic visits at ages 7, 13, and 24. Linear or logistic regression models were used to analyse cross-sectional and longitudinal associations, accounting for potential confounders. Results: Mean EW was 10.9 h (standard deviation 1.1) and 11.1 h (1.8) at ages 7 and 13, respectively. At age 7 (N = 4799), a longer EW was positively associated with body mass index z-score (BMIz) (beta coefficient (β) 0.04 (95% confidence interval 0.01, 0.07) p = 0.01), whilst at age 13 (N = 4712) a longer EW showed inverse associations with BMIz (β −0.026 (−0.046, −0.006) p = 0.01), waist to height ratio (WtHR) (β −0.001 (−0.002, −0.000) p = 0.005), waist circumference (WC) (cm) (β −0.211 (−0.370, −0.053) p = 0.009), diastolic blood pressure (DBP) (mmHg) (β −0.132 (−0.254, −0.009) p = 0.04), and fat mass (FM) (%) (β −0.447 (−0.607, −0.286) p < 0.001). Longitudinally, a longer EW at age 13 (N = 2534) was inversely associated with FM (%) at age 24 (β −0.307 (−0.487, −0.127) p < 0.001). Conclusions: A longer EW in adolescence was associated cross-sectionally with lower BMIz, WtHR, WC, DBP, and FM and longitudinally with lower FM at age 24, albeit with small effect sizes. Full article

Background/Objectives: Preventive oral health education plays a key role in preparing future healthcare professionals to promote and maintain good oral hygiene. Individually Trained Oral Prophylaxis (iTOP) is a structured, personalized educational program that emphasizes correct brushing techniques and interdental cleaning. This study aimed to evaluate the long-term effectiveness of a single-session iTOP intervention on clinical oral health outcomes among medical and dental students. Methods: A 2-year prospective cohort study included 82 first- and fourth-year medical and dental students at the University of Mostar, Bosnia and Herzegovina. The researchers randomly assigned participants to an iTOP intervention group or a control group. The primary analysis used multivariable linear mixed-effects models for repeated measures, adjusted for study program, academic year, smoking status, and baseline oral-hygiene habits, with effect sizes reported alongside 95% confidence intervals. Clinical periodontal parameters—plaque index, bleeding on probing, and probing depth—were assessed at baseline, three months, and two years. All participants received professional cleaning and oral hygiene kits. Only the intervention group received personalized iTOP training, consisting of a single session with brief reinforcement at the 3-month follow-up. This study was registered at ClinicalTrials.gov (NCT07085013). Results: Seventy-six students completed the follow-up. The iTOP group had significantly lower plaque index and bleeding scores at both follow-up points (p < 0.001) compared to the control group. Baseline differences were observed between subgroups (medical vs. dental; younger vs. older students), but these diminished over time. At the 2-year follow-up, only the plaque index remained significantly improved, while other clinical parameters returned to values comparable to baseline. Conclusions: The iTOP program resulted in significant short-term improvements in oral health among medical and dental students. For sustained long-term outcomes, iTOP or similar structured oral health education programs should be integrated into medical and dental curricula. Enhancing oral health awareness among healthcare providers may ultimately contribute to improved public oral health outcomes. Given the single-center design and the single-session nature of the intervention, the results should be interpreted with caution. Full article

Distribution System Operators (DSOs) increasingly need planning tools that coordinate utility-influenced assets—such as electric-vehicle charging stations (EVCS) and voltage-support resources—with customer-sited distributed generation (DG). We present a Nash-equilibrium-based Iterative Best Response Algorithm (IBRA-NE) for joint planning of DG and EVCS in radial distribution networks. The framework supports two applicability modes: (i) a DSO-plannable mode that co-optimizes EVCS siting/sizing and utility-controlled reactive support (DG operated as VAR resources or functionally equivalent devices), and (ii) a customer-sited mode that treats DG locations as fixed while optimizing DG reactive set-points/sizes and EVCS siting. The objective minimizes network losses and voltage deviation while incorporating deployment costs and EV charging service penalties, subject to standard operating limits. A backward/forward sweep (BFS) load flow with Monte Carlo simulation (MCS) captures load and generation uncertainty; a Bus Voltage Deviation Index (BVDI) helps identify weak buses. On the EEU 114-bus system, the method reduces base-case losses by up to 57.9% and improves minimum bus voltage from 0.757 p.u. to 0.931 p.u.; performance remains robust under a 20% load increase. The framework explicitly accommodates regulatory contexts where DG siting is customer-driven by treating DG locations as fixed in such cases while optimizing EVCS siting and sizing under DSO planning authority. A mixed scenario with 5 DGs and 3 EVCS demonstrates coordinated benefits and convergence properties relative to PSO, GWO, RFO, and ARFO. Additionally, the proposed algorithm is also tested on the IEEE 69-bus system and results in acceptable performance. The results indicate that game-theoretic coordination, applied in a manner consistent with regulatory roles, provides a practical pathway for DSOs to plan EV infrastructure and reactive support in networks with uncertain DER behavior. Full article

Bioactive peptides have significant potential for applications in pharmaceuticals, the food industry, and cosmetics due to their wide spectrum of biological activities. However, their pronounced structural and functional heterogeneity complicates the classification and prediction of biological activity. This study uses data from the PepLab platform, comprising 2748 experimentally confirmed bioactive peptides distributed across 15 functional classes, including ACE inhibitors, antimicrobial, anticancer, antioxidant, toxins, and others. For each peptide, the amino acid sequence and key physicochemical descriptors are provided, calculated via the integrated DMPep module, such as GRAVY index, aliphatic index, isoelectric point, molecular weight, Boman index, and sequence length. The dataset exhibits class imbalance, with class sizes ranging from 14 to 524 peptides. An innovative methodology is proposed, combining descriptive statistical analysis, structural modeling via DEMATEL, and structural equation modeling with neural networks (SEM-NN), where SEM-NN is used to capture complex nonlinear causal relationships between descriptors and functional classes. The results of these dependencies are integrated into a multi-class machine learning model to improve interpretability and predictive performance. Targeted data augmentation was applied to mitigate class imbalance. The developed classifier achieved predictive accuracy of up to 66%, a relatively high value given the complexity of the problem and the limited dataset size. These results confirm that integrating structured dependency modeling with artificial intelligence is an effective approach for functional peptide classification and supports the rational design of novel bioactive molecules. Full article

Background: Health promotion programs based on physical activity have gained increasing attention due to their potential to enhance employees’ physical and mental well-being, particularly in university settings, where academic and administrative staff are vulnerable to chronic stress, sedentary lifestyles, and work-related disorders. This study evaluates the effectiveness of the “University on the Move” program, an exercise-based workplace health promotion intervention implemented at the University of L’Aquila, Italy. Methods: An intervention study was conducted on 29 university employees participating in a supervised physical exercise program. Their anthropometric parameters, biochemical markers, cardiovascular risk factors, blood pressure, and work ability index were assessed at baseline (t0), three months (t1), and six months (t2), with a one-sample pre–post-test quasi-experimental design. Results: Significant improvements were observed in the cardiovascular risk factors, particularly in the female subgroup, e.g., the total cholesterol decreased by 20.8 mg/dL (p < 0.01), the LDL cholesterol decreased by 16.1 mg/dL (p < 0.01), and the fasting glucose decreased by 7.4 mg/dL (p < 0.01). Although the body mass index values remained stable, these metabolic improvements indicate beneficial effects independent of weight changes. The work ability index remained stable. The participation rates varied, with lower adherence to the training sessions. Conclusions: The study has some limitations (small sample size, no controlled design), all related to the primary aim of the preventive project targeted at the University employees who freely engaged in the protocol. Despite the low adherence (only about 30%), the metabolic improvements still suggest that structured workplace physical activity programs can positively impact employees’ health, even without significant weight loss, thus supporting the effectiveness of workplace health promotion and primary prevention interventions for an improved quality of life. Further research should explore long-term adherence and the organisational factors influencing participation. Full article