Multidisciplinary Digital Publishing Institute (Switzerland)
Multidisciplinary Digital Publishing InstituteNot a member yet
1861300 research outputs found
Sort by
Under the Heat of Tradition: Thermal Comfort During Summer Correfocs in Catalonia (1950–2023)
Cultural practices such as Catalonia’s correfocs (fire parades) represent a vibrant expression of intangible heritage. Outdoor activities are conditioned by weather and threatened by climate change. This study analyses the long-term evolution of night-time thermal conditions during correfoc festivals performed in six Catalan towns located on the coast and in the pre-coastal region from 1950 to 2023, using reanalysis-based indicators of air temperature, humidity, and perceived heat as a first exploratory step prior to incorporating in situ meteorological records. Specifically, the Heat Index (HI) and the Universal Thermal Climate Index (UTCI) were computed for the typical event window (21:00–23:00 local time) to assess changes in human thermal comfort. Results reveal a clear and statistically significant warming trend in most pre-coastal locations—particularly Reus, El Vendrell, and Vilafranca—while coastal cities such as Barcelona exhibit weaker or non-significant changes, likely due to maritime moderation. The frequency and intensity of positive temperature anomalies have increased since the 1990s, with a growing proportion of events falling into “caution” or “moderate heat stress” categories under HI and UTCI classifications. These findings demonstrate that correfocs are now celebrated under markedly warmer night-time conditions than in the mid-twentieth century, implying a tangible rise in thermal discomfort and potential safety risks for participants. By integrating climatic and cultural perspectives, this research shows that rising night-time heat can constrain attendance, participation conditions, and event scheduling for correfocs, thereby directly exposing weather-sensitive form of intangible cultural heritage to climate risks. It therefore underscores the need for climate adaptation frameworks and to promote context-specific strategies to sustain these community-based traditions under ongoing Mediterranean warming
The Effects of a Strategic Instructional Self-Talk Intervention on Performance in a Complex Tennis Rally
The purpose of the present study was to examine the effects of a strategic self-talk intervention on a complex tennis performance test through the use of a narrow internal instructional self-talk plan. Fifty young beginner tennis players from two tennis academies were assigned into intervention and control groups. A pre/post quasi-experimental design was implemented, including baseline assessment, training intervention, and final assessment. The intervention lasted five weeks, during which all participants underwent the same training, with the experimental group using strategic self-talk. Repeated measures MANOVA revealed a significant time by group interaction for all tennis strokes; pairwise comparisons showed that the all strokes performance of the self-talk group improved from initial to final assessment and was better than the performance of the control group at final assessment. In addition, repeated measures ANOVA examining the overall performance of the rally showed that the intervention group achieved higher total rally scores than the control group. The effectiveness of the intervention in this multi-stroke task suggests that strategic self-talk facilitated movement sequences, possibly through an efficient shifting of attention. Accordingly, practitioners are encouraged to explore the potential of strategic self-talk for tasks requiring such attentional demands
Cognitive Dysfunction and Criminal Behavior: Investigating Executive Functions in Convicted Individuals
Background: Studies on the association between cognitive dysfunction and criminality have shown that individuals in prison, particularly repeat offenders and those convicted of violent crimes, tend to exhibit difficulties in cognitive, social, and emotional functioning. The objective of this study was to evaluate and characterize cognitive and executive functioning of incarcerated individuals, while also seeking to understand the impact of incarceration on executive functions. Methods: The sample consisted of 30 participants at various stages of their sentences. Neuropsychological assessments were conducted using cognitive screening tests and tests directed to assess executive functions and decision making. Results: Neurocognitive performance was within normative ranges. Selective associations between sentence duration and specific executive functions were observed, suggesting a relationship with criminal severity indicators. Decision-making also appeared impaired, as no evidence of learning was found and deck selection focused on more disadvantageous decks. Conclusions: These findings a relationship between indicators of criminal severity and specific aspects of executive functioning and decision making, rather than a generalized cognitive impairment. However, these conclusions require further research under this topic in larger and more diverse samples
A Novel Deterministic Algorithm for Atrial Fibrillation Detection
The absence of a recognizable P wave in an electrocardiogram (ECG) is a critical indicator for the diagnosis of atrial fibrillation (AF). An algorithm capable of distinguishing between physiological and pathological states in a short period of time could serve as a valuable tool for timely and effective diagnosis, even in a home setting. To achieve this goal, a deterministic algorithm is proposed. The Fantasia Database and the AF Termination Challenge Database were used for training the model. Subsequently, for the test session, a one-minute recording was extracted from the Autonomic Aging Dataset and the Long-Term AF Database. After band-pass filtering, characteristic points such as R-peaks and P waves were extracted. The R-peak detection algorithm was compared with the gold standard Pan-Tompkins, obtaining a p-value > 0.05 on the Fantasia Database, which means that there is no statistical difference between them. Subsequently derived features such as duration, amplitude, subtended area, and P wave slope have been used to discriminate healthy subjects from AF patients. The P-wave slope emerged as the most effective feature, achieving a classification accuracy of 100% and 96% for the training and test sets, respectively. This algorithm thus represents a significant advancement as it achieves a performance comparable to other deterministic methods based on P wave analysis using only one-minute recordings, thereby enabling accurate diagnosis in a shorter time frame
Short Femoral Stem Performance in Femoral Hip Fracture: Clinical and Radiological Evaluation and Comparative Study of Patients Older than 65 Years
Background and Objectives: Short femoral stems are increasingly used in total hip arthroplasty (THA), yet evidence regarding their performance in elderly femoral neck fracture (FNF) patients is limited. In this study, we compared clinical and radiographic outcomes of the use of a short femoral stem (SFS) versus a conventional standard stem (CSS) in cementless THA. Materials and Methods: This prospective, single-center case–control study (1:2) included patients ≥ 65 years of age with displaced FNF (Garden 3–4) treated with cementless THA. Follow-up lasted a minimum of 2 years. Clinical evaluations included the Harris Hip Score (HHS), Roles and Maudsley satisfaction score, and thigh pain assessment. Radiographic evaluations assessed cup position, osseointegration (Moore signs), radiolucencies (DeLee–Charnley and Gruen zones), subsidence, leg length discrepancy (LLD), and heterotopic ossification. Results: A total of 114 patients were analyzed (38 with SFS versus 76 with CSS). The final follow-up HHS was 87 ± 2.7 (SFS) and 88 ± 2.5 (CSS) (p = 0.231), and satisfaction was excellent in nearly all patients in both groups. Thigh pain was rare and resolved by final follow-up in all SFS patients, and no radiographic loosening was observed. Early subsidence (≤3 mm) occurred in two SFSs and three CSSs without progression, while LLD < 1 cm was present in three SFS and eight CSS cases. No implant-related revisions occurred, and complication rates were low and comparable. Conclusions: Short femoral stems provided clinical and radiographic outcomes equivalent to those of conventional stems in elderly FNF patients treated with cementless THA. Short stems appear to be a safe and effective option in this population, and further studies with longer follow-up are needed to confirm their durability
KBN2202 Suppresses Gonadal White Adipose Tissue Expansion in Female Mice Fed a High-Fat Diet
Obesity treatments increasingly target multiple pathways beyond appetite suppression. We evaluated KBN2202, a salicylate-derived small molecule, in a high-fat diet (60% kcal from fat) mouse model using female and male C57BL/6J mice treated for 8 weeks with oral KBN2202 (20 mg/kg/day) or a matched-volume vehicle (1% DMSO/PBS). Body weight was recorded weekly, and food intake was measured daily; serum hormones and cytokines, adipose tissue histology, and open-field behavior were assessed at the end of the study. Under our experimental conditions, HFD increased body weight and gonadal white adipose tissue (gWAT)/brown adipose tissue (BAT) mass in females, whereas males showed only modest HFD-associated weight gain and did not develop a clear obesity phenotype. KBN2202 significantly reduced peri-ovarian gWAT mass and adipocyte size without altering overall body weight. In females, circulating glucagon-like peptide-1 (GLP-1) increased, uncoupling protein 1 (UCP1) in gWAT showed a non-significant upward trend, and serum TNF-α was selectively decreased, while MCP-1 and IL-1β were unchanged. Locomotor activity was unaltered, and anxiety-like behavior was reduced. Male mice did not show comparable adipose effects. These findings indicate depot-specific, peripheral modulation of adipose remodeling, hormonal balance, and inflammatory tone by KBN2202, supporting its further investigation as an adipose-targeted metabolic modulator complementary to incretin-based therapies
Deep Learning-Based AIS Signal Collision Detection in Satellite Reception Environment
Automatic Identification System (AIS) signals are critical for maritime traffic monitoring and collision avoidance. In satellite reception environments, signal collisions occur frequently due to large coverage areas and high ship density, severely degrading decoding performance. We propose a dual-branch deep learning architecture that combines precise boundary detection with segment-level classification to address this collision problem. The network employs a multi-scale convolutional backbone that feeds two specialized branches: one detects collision boundaries with sample-level precision, while the other provides semantic context through segment classification. We developed a satellite AIS dataset generation framework that simulates realistic collision scenarios including multiple ships, Doppler effects, and channel impairments. The trained model achieves 96% collision detection accuracy on simulated data. Validation on real satellite recordings demonstrates that our method retains 99.4% of valid position reports compared to direct decoding of the original signal. Controlled experiments show that intelligent collision removal outperforms random segment exclusion by 6.4 percentage points, confirming the effectiveness of our approach
On the Invariant and Geometric Structure of the Holomorphic Unified Field Theory
We present the invariant structure of a Holomorphic Unified Field Theory in which gravity and gauge interactions arise from a single geometric framework. The theory is formulated using a product principal bundle, with one connection, and curvature equipped with a Hermitian field on a complexification of spacetime. From a single Diff(M)×G-invariant action, variation yields the Einstein and Yang–Mills equations together with their paired Bianchi identities. A compatibility condition is implemented either definitionally or through an auxiliary penalty functional. It enforces that the antisymmetric part of our Hermitian field is the gauge field’s exact curvature on the real slice
Stunting Among HIV-Exposed and HIV-Free Children in eSwatini: A Retrospective Evaluation of Associations with Birthweight, Feeding, and Caregiving Practices
Background/Objectives. Associations between stunting and dietary practices have been understudied among HIV-exposed and HIV-free children. We investigated associations between birthweight, socio-demographics, and dietary and feeding practices with stunting at 9 and 18 months among children in eSwatini. Methods. We used generalized linear mixed models (GLMs) with a logit link to characterize associations between stunting and birthweight quartiles, socio-demographics, maternal characteristics, and infant dietary diversity scores. We examined the moderating effects of dietary factors on relations between birthweight and stunting. Generalized structural equation models characterized direct and indirect associations between exposures and stunting at 18 months, mediated through stunting at 9 months. Results. We included 367 HIV-exposed and HIV-free children. Infants in the third and fourth birthweight quartiles had reduced odds of stunting at 9 months [adjusted odds ratio (adj OR) 0.24 (IQR 0.11, 0.55), p < 0.001; 0.10 (0.03, 0.33), p < 0.001, respectively]. Moderation by dietary diversity was limited to a relative decline in the second birthweight quartile. Stunting prevalence significantly increased from 9 months (21%) to 18 months (37%). Mediated by stunting at 9 months, there were significant direct and indirect effects of birthweight and dietary diversity on stunting at 18 months. Conclusions. Among HIV-exposed and HIV-free children, stunting prevalence increased with age and was associated with lower birthweight. Dietary diversity attenuated stunting risk among children in the second birthweight quartile. Prenatal strategies to reduce low birth weight (LBW) and additional attention to the social determinants of health, particularly dietary diversity, are warranted in programs and policies to reduce stunting
The Water Lifting Performance of a Photovoltaic Sprinkler Irrigation System Regulated by Solar-Coupled Compressed-Air Energy Storage
Solar-driven irrigation, a promising clean technology for agricultural water conservation, is constrained by mismatched photovoltaic (PV) pump outflow and irrigation demand, alongside unstable PV output. While compressed-air energy storage (CAES) shows mitigation potential, existing studies lack systematic explorations of pump water-lifting characteristics and supply capacity under coupled meteorological and air pressure effects, limiting its practical promotion. This study focuses on a solar-coupled compressed-air energy storage regulated sprinkler irrigation system (CAES-SPSI). Integrating experimental and theoretical methods, it establishes dynamic flow models for three DC diaphragm pumps considering combined PV output and outlet back pressure, introduces pressure loss and drop coefficients to construct a nozzle pressure dynamic model via calibration and iteration, and conducts a 1-hectare corn field case study. The results indicate the following: pump flow increases with PV power and decreases with outlet pressure (model deviation < 9.24%); nozzle pressure in pulse spraying shows logarithmic decline; CAES-SPSI operates 10 h/d, with hourly water-lifting capacity of 0.317–1.01 m3/h and daily cumulation of 6.71 m3; and the low-intensity and long-duration mode extends irrigation time, maintaining total volume and optimal soil moisture. This study innovatively incorporates dynamic air pressure potential energy into meteorological-PV coupling analysis, providing a universal method for quantifying pump flow changes, clarifying CAES-SPSI’s water–energy coupling mechanism, and offering a design basis for its agricultural application feasibility