Search Results (35)

People frequently choose not to be in an intimate relationship, but the reasons behind this choice vary. In the current study, we analyzed a dataset pooled from previous studies, consisting of 3226 Greek-speaking participants, 357 of whom were voluntarily single, to estimate the occurrence of different types of voluntary singlehood. We found that the largest subgroup, accounting for more than 60% of cases, consisted of individuals who indicated that they preferred to be single because they had different priorities. This was followed by those who indicated that they had given up on trying to attain an intimate relationship, comprising more than 26% of cases. Furthermore, about 13% of voluntarily single participants indicated that they were in this group for “other” reasons. Additionally, we found that participants in the different priorities group were single significantly longer than participants in the group who had given up on finding an intimate relationship. No significant sex differences were detected in the occurrence rates of the two types of voluntary singlehood. Moreover, younger participants were significantly more likely to indicate that they had different priorities than that they had given up on finding intimate relationships. Full article

Background: Soccer performance is largely dependent on high-intensity, unilateral actions such as sprints, jumps, and changes of direction. These demands can lead to strength and power differences between limbs, highlighting the importance of individualised assessment in professional players. Rotational inertial devices offer a valuable method to evaluate and train these mechanical variables separately for each leg. The aim of this study was twofold: (a) to characterise the mechanical variables derived from several lower-body strength exercises performed on rotational inertial devices, all targeting the same muscle group; and (b) to compare the mechanical variables between the dominant and non-dominant leg for each exercise. Methods: Twenty-six male professional soccer players (age = 26.3 ± 5.1 years; height = 182.3 ± 0.6 cm; weight = 75.9 ± 5.9 kg; body mass index = 22.8 ± 1.1 kg/m²; fat mass percentage = 9.1 ± 0.6%; fat-free mass = 68.8 ± 5.3 kg), all belonging to the same professional Belgian team, voluntarily participated in this study. The players completed a single assessment session consisting of six unilateral exercises (i.e., quadriceps hip, hamstring knee, adductor, quadriceps knee, hamstring hip, and abductor). For each exercise, they performed two sets of eight repetitions with each leg (i.e., dominant and non-dominant) in a randomised order. Results: The quadriceps hip exercise resulted in higher mechanical values compared to the quadriceps knee exercise in both limbs (p < 0.004). Similarly, the hamstring hip exercise produced greater values across all variables and limbs (p < 0.004), except for peak force, where the hamstring knee exercise exhibited higher values (p < 0.004). The adductor exercise showed higher peak force values for the dominant limb (p < 0.004). The between-limb comparison revealed differences only in the abductor exercise (p < 0.004). Conclusions: These findings suggest the necessity of prioritising movement selection based on targeted outcomes, although it should be considered that the differences between limb differences are very limited. Full article

Enabling individuals with complete paralysis to operate devices voluntarily requires an effective interface; EEG-based P300 event-related potential (ERP) interfaces are considered a promising approach. P300 is an EEG peak generated in response to specific sensory stimuli recognized by an individual. Accurate detection of this peak necessitates a stable pre-stimulus baseline EEG signal, which serves as the reference for baseline correction. Previous studies have commonly employed either a single-time-point amplitude (e.g., at 100 ms before stimulus onset) or a time-range-averaged amplitude over a specified pre-stimulus period (e.g., 0–200 ms) as a baseline correction method, assuming these provide the most stable EEG reference. However, in assistive P300 interfaces, continuous visual stimuli at 400 ms intervals are typically used to efficiently evoke P300 peaks. Since stimuli are presented before the EEG stabilizes, it remains unclear whether conventional neuroscience baseline correction methods are suitable for such applications. To address this, the present study conducted a P300 induction experiment based on continuous 400 ms interval visual stimuli. Using EEG data recorded from 0 to 1000 ms before each visual stimulus (sampled at 1 ms intervals), we applied three baseline correction methods—single-time-point amplitude, time-range-averaged amplitude, and multi-time-point amplitude—to determine the most effective EEG reference and evaluate the impact on P300 detection performance. The results showed that baseline correction using an amplitude at a single point in time is unstable when the basic EEG rhythm and low-frequency noise remain, while time-range-averaged baseline correction using the 0–200 ms pre-stimulus period led to relatively effective P300 detection. However, it was also found that using only one value averaged over the amplitude from 0 to 200 ms did not result in an accurate EEG reference potential, resulting in an error. Finally, this study confirmed that the multi-time-point baseline correction method, through which the amplitude state from 0 to 200 ms before the visual stimulus is comprehensively evaluated, may be the most effective method for P300 determination. Full article

Background: Selecting the right linear position transducer (LPT) for velocity-based training monitoring sometimes presents uncertainties for coaches. Objectives: This study rigorously examined the test-retest reliability of three LPT–Cs using a simultaneous triangulation method of the same device during bench press (BP) and back squat (SQ) exercises performed on a Smith machine. Methods: Forty university students—13 females (23 ± 2 years) and 27 males (31.5 ± 6 years)—voluntarily participated in a randomized repeated-measures study. LPTs were randomly assigned numbers and placed at 5 cm apart to measure and collect bar displacement (∆S), mean propulsive velocity (MPV), peak velocity (PV), and time to peak velocity (T–PV). Each volunteer performed three BP and SQ attempts with pre-standardized loads (males: BP ≥ 40 kg and SQ ≥ 60 kg; females: BP ≥ 25 kg and SQ ≥ 40 kg). Results: The main findings of this study support a high degree of reliability for LPTs. For all variables, the absolute reliability presented significant values (p ≤ 0.05), with an intraclass correlation coefficient ≥ 0.995, a 95% confidence interval between 0.992–0.999, a coefficient of variation ≤ 10%, and a standard error of the mean ≤ 0.031. Conclusions: Scientists and coaches can use the LPT device as a reliable tool for monitoring velocity-based training by providing rigorous measurements of ∆S, MPV, PV, and T–PV during BP and SQ exercises. In addition, the smallest real difference reported may be useful in identifying minimal changes in ∆S within a single set (BP = 0.10 cm; SQ = 0.13 cm). Full article

Background: Coffee is considered one of the most preferred and consumed beverage types in the world, and caffeine is known to increase physical performance due to its ergogenic properties. The aim of this study is to examine the effects of coffee consumption in different forms on cortisol, testosterone, lactic acid and anaerobic performance levels. Methods: A total of 15 licensed male football players participated in the research voluntarily. The research was implemented in a single-blind, counterbalanced, randomized and crossover study design. Participants were given caffeinated coffee (CK), decaffeinated coffee (placebo) (DK), powdered caffeine (in a gelatin capsule) (PC) and powdered placebo (maltodextrin in a capsule) (PM) on different days, and the Wingate test protocol was performed after the warm-up protocol. Blood samples were collected post-test. Cortisol, testosterone and lactic acid levels in the serum samples taken were determined by the ELISA method. Results: As a result, it was revealed that caffeinated coffee given to participants who exercise increased anaerobic power. However, it was observed that lactic acid levels were higher in placebo and decaffeinated coffee. The highest level of cortisol was found in caffeinated coffee and powdered caffeine compared to the placebo. Testosterone values were observed to be highest in caffeinated coffee and decaffeinated coffee compared to a placebo. Conclusions: The study suggests that the type of caffeine is a factor that affects absorption rate, which impacts performance and hormone levels. Full article

Given the recognized nutritional value of fish and shifting consumer lifestyles, processed seafood has become increasingly prevalent, comprising a significant portion of global food production. Although current European Union labeling regulations do not require species declaration for these products, food business operators often voluntarily provide this information on ingredient lists. Next Generation Sequencing (NGS) approaches are currently the most effective methods for verifying the accuracy of species declarations on processed seafood labels. This study examined the species composition of 20 processed seafood products, each labeled as containing a single species, using two DNA metabarcoding markers targeting the mitochondrial cytochrome c oxidase I (COI) and 16S rRNA genes. The combined use of these markers revealed that the majority of the products contained multiple species. Furthermore, two products were found to be mislabeled, as the declared species were not detected. These findings underscore that NGS is a robust technique that could be adopted to support routine food industry activities and official control programs, thereby enhancing the ‘From Boat to Plate’ strategy and combating fraudulent practices in the complex fisheries supply chain. Full article

Background: This study aimed to evaluate the relationship of selected clinical (i.e., body mass index, BMI) and psychological factors (i.e., anxiety, depression, and impulsiveness) with the quality of life (QoL) of elderly patients with cardiovascular disease (CVD) in a single clinical center in Italy. Methods: A total of 238 patients of older age (≥65 years) with CVD who voluntarily attended a single clinical center for weight loss and cardiac rehabilitation were sequentially recruited and tested upon admission to the hospital based on pre-established inclusion criteria. Results: The findings indicated that anxiety and depressive symptoms were moderately associated with lower QoL. Additionally, there were noteworthy but minor negative connections between impulsivity and QoL. Furthermore, BMI was inversely associated with the perceived QoL of the participants, and when incorporated into the regression analysis, BMI alone significantly accounted for 11.8% of the variability in QoL. This percentage increased to 18.4% with the inclusion of impulsiveness in the model and further to 34.3% with the addition of anxiety and depressive symptoms. However, after introducing anxiety and depression, the association between impulsivity and QoL ceased to be statistically significant. Conclusions: Integrating the routine assessment and treatment of psychological factors into the care of older patients with CVD is important for optimizing their overall health outcomes and improving their QoL. Full article

Purpose: Tongue image analysis for disease diagnosis is an ancient, traditional, non-invasive diagnostic technique widely used by traditional medicine practitioners. Deep learning-based multi-label disease detection models have tremendous potential for clinical decision support systems because they facilitate preliminary diagnosis. Methods: In this work, we propose a multi-label disease detection pipeline where observation and analysis of tongue images captured and received via smartphones assist in predicting the health status of an individual. Subjects, who consult collaborating physicians, voluntarily provide all images. Images thus acquired are first and foremost classified either into a diseased or a normal category by a 5-fold cross-validation algorithm using a convolutional neural network (MobileNetV2) model for binary classification. Once it predicts the diseased label, the disease prediction algorithm based on DenseNet-121 uses the image to diagnose single or multiple disease labels. Results: The MobileNetV2 architecture-based disease detection model achieved an average accuracy of 93% in distinguishing between diseased and normal, healthy tongues, whereas the multilabel disease classification model produced more than 90% accurate results for the disease class labels considered, strongly indicating a successful outcome with the smartphone-captured image dataset. Conclusion: AI-based image analysis shows promising results, and an extensive dataset could provide further improvements to this approach. Experimenting with smartphone images opens a great opportunity to provide preliminary health status to individuals at remote locations as well, prior to further treatment and diagnosis, using the concept of telemedicine. Full article

The grassland ecological compensation mechanism is a basic guarantee for promoting the sustainable utilization of grassland resources, and the reasonable determination of the compensation subject is the basic premise for the effective operation of the grassland ecological compensation mechanism. At present, grassland ecological compensation is mainly based on government compensation, and the compensation method generally adopted is financial transfer payment with a single source of compensation funds. Therefore, establishing diversified compensation entities is of great significance in expanding the sources of compensation funds. As important users of grassland resources, herders should become the main representatives of grassland ecological compensation according to the principle of “whoever uses, pays”. In this study, based on survey data with respect to pastoral areas in Inner Mongolia, we used a multivariate ordered logistic regression model to empirically analyze the factors influencing the establishment of a voluntary compensation entity for herders. The results of this study showed that (1) the resource endowment factors of the respondents, including livestock inventory, grazing area, and cutting grassland area, have a significant positive impact on the willingness of herdsmen to voluntarily serve as the main representatives of grassland ecological compensation. When each influencing factor increased by one unit, the probability of voluntarily becoming a compensation subject increased by 3.5%, 1.91%, and 1.41%, respectively. (2) The factor of prohibited pasture area in the endowment of herders had a significant negative effect on their willingness to become compensation subjects, which indicates that the larger the prohibited pasture area owned by herders, the lower their grassland utilization rate and the lower their willingness to voluntarily become compensation subjects. (3) Among the cognitive factors of the respondents, “whether they will continue to support the implementation of the grassland compensation policy” had a positive promoting effect on herdsmen voluntarily becoming compensation subjects, showing that the higher the support of herdsmen for the ecological compensation system, the more willing they were to become compensation subjects. This article is based on the perspective of the sustainable utilization of grassland resources and empirically analyzes the influencing factors of herders’ willingness to reduce their number of livestock. Through the voluntary reduction of livestock by herders, a voluntary compensation entity for herders is constructed. Based on the research conclusions, relevant countermeasures and suggestions are proposed, providing a reference for improving grassland ecological compensation policies and promoting the sustainable utilization of grassland resources. Full article

Introduction: Personal, behavioral, and environmental risk factors are correlated to varying degrees with each other and with the overall likelihood of violent reinjury. When used with fidelity, risk assessment instruments, including the violence reinjury risk assessment instrument (VRRAI), identify domains in which individuals present elevated risk levels to aid in matching services with needs. Less is known about the collinearity among risk factors for violently injured individuals admitted to hospitals. Collinearity between risk factors has ramifications for predictive modeling of violent reinjury risk. The objective of this study was to identify significantly correlated risk factors when the VRRAI was used by hospital-based violence intervention programs (HVIP) for clients. Materials and Methods: Victims of violent injury by modality of firearm, stabbing, and physical assault who were admitted to a level 1 trauma center at a single institution were voluntarily enrolled in a hospital-based violence intervention program (HVIP) between September 2020 and June 2022. Violence intervention specialists (VIS) completed the VRRAI within the first month of participant enrollment. The VRRAI is comprised of 29 binary indicators that may signal elevated risk of violent reinjury. Data from completed assessments were used to apply risk-need-responsivity (RNR) principles along with phi coefficients of key indicators to examine overlap and prevalence in the population. Results: A total of 98 participants were enrolled in the HVIP. The median age was 27 years old and 79 (80.6%) were male, while 66 (67.3%) were non-Hispanic Black or African American, 9 (9.2%) were non-Hispanic White, and 17 (17.3%) identified as Hispanic or Latino. Several statistically significant relationships existed between key risk indicators in the VRRAI. Importantly, a robust relationship was found between the two dynamic risk factors of having heavy connection with gangs and a perception of imminent threat of violence (φc = 0.57, p < 0.01). Conclusion: Data suggest that some variables could be consolidated or removed from the VRRAI to create an even shorter instrument that can be performed more rapidly in the clinical setting. The application of the RNR model illustrates a limited number of dynamic risk factors that could be immediately addressed as part of case management should be prioritized among the questions selected from the VRRAI for inquiry at the intake assessment. Full article

Accurate prediction of traffic demand and airport capacity plays a crucial role in minimising ground delays and airborne holdings. This paper focuses on the latter aspect. Adverse weather conditions present significant challenges to airport operations and can substantially reduce capacity. Consequently, any predictive model, regardless of its complexity, should account for weather conditions when estimating the airport capacity. At present, the sole shared platform for airport capacity information in Europe is the EUROCONTROL Public Airport Corner, where airports have the option to voluntarily report their capacities. These capacities are presented in tabular form, indicating the maximum number of hourly arrivals and departures for each possible runway configuration. Additionally, major airports often provide a supplementary table showing the impact of adverse weather in a somewhat approximate manner (e.g., if the visibility is lower than 100 m, then arrival capacity decreases by 30%). However, these tables only cover a subset of airports, and their generation is not harmonised, as different airports may use different methodologies. Moreover, these tables may not account for all weather conditions, such as snow, strong winds, or thunderstorms. This paper presents a machine learning approach to learn mapping from weather conditions and runway configurations to the 99th percentile of the delivered throughput from historical data. This percentile serves as a capacity proxy for airports operating at or near capacity. Unlike previous attempts, this paper takes a novel approach, where a single model is trained for several airports, leveraging the generalisation capabilities of cutting-edge machine learning algorithms. The results of an experiment conducted using 2 years of historical traffic and weather data for the top 45 busiest airports in Europe demonstrate better alignment in terms of mean pinball error with the observed departure and arrival throughput when compared to the operational capacities reported in the EUROCONTROL Public Airport Corner. While there is still room for improvement, this system has the potential to assist airports in defining more reasonable capacity values, as well as aiding airlines in assessing the impact of adverse weather on their flights. Full article

Netball is a sport that involves multiplane- and multidirectional landings, which results in a high proportion of injuries, particularly to the ankle joint. The purpose of this study was to analyse the ankle kinematics in multiple planes during multidirectional single-leg landings in high-level netball players. A total of ten (n = 10) netball players voluntarily participated in the study. All netball players performed 25 single-leg jump landing maneuvers per leg (dominant and non-dominant) from a 0.30 m high platform, landing onto a 0.70 m away force plate platform. Their ankle kinematic, landing kinetic and time to stabilisation (TTS) data were collected in sagittal-, frontal- and transverse planes. Netball players showed mean differences in peak landing forces (F (8,91) = 2.68, p = 0.009) but not in TTS (F (8,91) = 2.27, p = 0.260). There was evidence of differences in ankle kinematics across all three planes [Sagittal: (F (9,81) = 3.48, p = 0.001); Frontal: (F (9,81) = 8.01, p < 0.001); Transverse: (F (9,81) = 8.80, p < 0.001)]. Furthermore, small to large negative (r = −0.55) correlations were observed between ankle range of motion (ROM) and peak landing forces. Associated landing forces can be moderated by greater sagittal plane ankle ROM during multidirectional landings to minimise the risk of ankle injuries in netball. Full article

Burnout is a health problem that affects professionals and students or professionals in training, especially those in health areas. For this reason, it is necessary that it is properly identified to prevent the impact it can have on the work and personal areas of the people who suffer from it. The aim of this work is to study the convergent, discriminant, and criterion validity of the Cuestionario Burnout Granada-University Students. The sample consisted of 463 undergraduate nursing students, selected by non-probabilistic convenience sampling, who participated voluntarily and anonymously in the study. The mean age of the participants was 21.9 (5.12) years, mostly female (74.1%), single (95.8%), and childless (95.6%). Information was collected face-to-face, and the instruments were completed on paper. Comparisons were made in the three dimensions of burnout of the CBG-USS between students with and without burnout, finding statistically significant differences in all three dimensions: Emotional Exhaustion (p < 0.001, d = 0.674), Cynicism (p < 0.001, d = 0.479), and Academic Efficacy (p < 0.001, d = −0.607). The Cuestionario Burnout Granada-University Students presents adequate reliability and validity indices, which demonstrates its usefulness in the identification of burnout. This syndrome has traditionally been measured in professionals, but students also present burnout, so it is necessary to have specific burnout instruments for students, since the pre-work situation and stressors of students are different from those of workers. In order to work on the prevention of university burnout, it is essential to have specific instruments for professionals in training that help in the detection of students with burnout. Full article

Looking for useful and motivational strategies for promoting healthy habits and improving cognitive functioning in young populations, the aim of the present study was to determine if a single bout of high-intensity interval exercise could stimulate mood and working memory in college students. A total of 25 male subjects (mean ± SD, age: 21.7 ± 2.1 years; height: 1.77 ± 0.06 m; weight: 72.6 ± 8.4 kg; body mass index: 23.1 ± 1.4 kg/m²; VO_2peak: 47.1 ± 9.3 mL/kg/min) participated voluntarily in this study. Participants underwent a high-intensity interval exercise consisting of 10 × 1 min of cycling at VO_2peak power output. The Profile of Mood States (POMS) questionnaire and Digit Span Test (DST) were administered at three assessment time points: (a) pre-intervention assessment, (b) post-intervention assessment, and (c) 30 min post-intervention. The mood states decreased significantly after exercise; however, a significant increase in mood was found after 30 min of recovery. A significant post-exercise increase in DST performance was observed; moreover, DST scores obtained 30 min after exercise remained higher than those assessed pre-exercise. In conclusion, a single bout of HIIT induces acute positive changes in mood states in male college students and seems to be a powerful stimulus for cognitive functioning. Full article

Background: Women with Inflammatory Bowel Diseases (IBD) have fewer children and stay childless more often. The decision-making process around family planning choices remains incompletely understood. Methods: We examined family status in women who at recruitment to the UK IBD Bioresource had not had children yet via an electronic survey. The primary outcome was the proportion of women with voluntary childlessness. Secondary outcomes were factors associated with family planning status. Results: Of 326 responders, 10.7% had either given birth, were currently pregnant or were currently trying to conceive; 12.6% were planning to conceive within 12 months; 54.4% were contemplating conception in the distant future (vague plans); and 22.3% were voluntarily childless. Factors associated with family planning status fell into three areas: general background (age, household income, perceived support to raise a child), relationship status (sexual orientation, being single, not cohabiting, perception of being ‘in the right relationship to raise a child’, perception of a good sex life) and the expression of having a child as a goal in life. On binary logistics regression analysis with voluntary childlessness versus vague family plans as the outcomes of choice, having a household income of <£30,000 (p = 0.046), not seeing a child as a life goal (p < 0.0001) and identifying as lesbian or bisexual (p = 0.047) were independent predictors of voluntary childlessness. Conclusions: Clinicians should consider sexual orientation, income, younger age, current relationship and lack of expression of having a child as a life goal as important factors for family planning when providing care. Pre-pregnancy advice should be made widely available for women with IBD. Full article