Search Results (89)

In traditional epistemic logic—particularly modal logic—agents are often assumed to have complete and certain knowledge, which is unrealistic in real-world scenarios where uncertainty, imprecision, and the incompleteness of information are common. This study proposes an extension of the logic of doxastic attitudes to a fuzzy setting, representing beliefs or knowledge as continuous values in the interval [0, 1] rather than binary Boolean values. This approach offers a more nuanced and realistic modeling of belief states, capturing the inherent uncertainty and vagueness in human reasoning. We introduce a set of axioms for the fuzzy logic of doxastic attitudes, formalizing how agents reason with regard to uncertain beliefs. The theoretical foundations of this logic are established through proofs of soundness and completeness. To demonstrate practical utility, we present a concrete example, illustrating how the fuzzy logic of doxastic attitudes can model uncertain preferences and beliefs. Full article

Background/Objectives: Patients undergoing neoadjuvant therapy have ample time to engage in exercise prehabilitation. This study aimed to describe the current status, facilitators, and barriers of exercise prehabilitation among this population. Methods: This sequential explanatory mixed-methods evaluation was conducted at a general tertiary hospital in Beijing. It included a quantitative survey of patients who received neoadjuvant therapy before cancer surgery and qualitative semi-structured interviews with both patients and physicians. Thematic analysis was conducted using the Capability, Opportunity, and Motivation Behavior model. Results: A total of 269 patients participated in the survey, with a completion rate of 99.6%. Only 52.6% and 1.1% of patients met the standards for aerobic and muscle-strengthening activities, respectively. Fewer than 40% of patients reported learning about exercise prehabilitation from physicians. Patients’ knowledge was associated with meeting aerobic activity standards after adjusting for confounders (Level 1: odds ratio [OR] of 2.06, 95% confidence interval [CI] of 1.02–4.22; Level 2: OR of 2.56, 95% CI of 1.25–5.36). In total, 28 participants were interviewed. Facilitators of patient education on exercise prehabilitation included the surgeon’s ability to gain trust and patients’ prior commitment to exercise. Barriers included physicians’ lack of awareness of exercise benefits, insufficient knowledge or time for patient education, concerns about patients’ exercise ability, lack of referrals to rehabilitation clinics, challenges in follow-up, conflicts with cultural beliefs, and inadequate insurance coverage. Conclusions: This study revealed a lack of physician-led patient education on exercise prehabilitation. Efforts are needed to enhance physician education, implement collaborative clinics, and provide remote supervision. Full article

Background/Objectives: While alcoholic beverage consumption increases cancer risk, red wine has been touted as a healthier option. To address this unexplored question, we conducted a meta-analysis to summarize evidence from observational studies. Methods: A literature search of PubMed and EMBASE through December 2023 identified studies examining wine and cancer risk. A random-effects meta-analysis was performed to estimate relative risks (RRs) and 95% confidence intervals (CIs) for an association between wine intake and overall cancer risk. Results: A total of 20 cohort and 22 case–control studies were included. Wine intake was not associated with overall cancer risk (n = 95,923) when comparing the highest vs. lowest levels of consumption, with no differences observed by wine type (red: summary RR = 0.98 [95% CI = 0.87, 1.10], white: 1.00 [0.91, 1.10]; P_difference = 0.74). However, white wine intake was significantly associated with an increased risk of cancer among women (white: 1.26 [1.05, 1.52], red: 0.91 [95% CI: 0.72, 1.16], P_difference = 0.03) and in analyses restricted to cohort studies (white: 1.12 [1.03, 1.22], red: 1.02 [95% CI: 0.96, 1.09], P_difference = 0.02). For individual cancer sites, there was a significant difference in associations between red and white wine intake only in skin cancer risk [6 studies, white: 1.22 (1.14, 1.30), red: 1.02 (0.95, 1.09); P_difference = 0.0003]. Conclusions: We found no differences in the association between red or white wine consumption and overall cancer risk, challenging the common belief that red wine is healthier than white wine. Our significant results related to white wine intake in subgroup analyses warrant further investigation. Full article

Urban-farming activities can provide durability to an area, ensuring, among other benefits, environmental awareness, access to fresh food, individual health, and, potentially, an increased family income. The purpose of this study was to investigate the correlations between the following benefits of urban agriculture perceived by the inhabitants of western Romanian towns: socialisation and recreation and the avoidance of food waste with their levels of education and financial situations. The data were collected through an online questionnaire, completed by 648 respondents, and processed in SPSS-IBM using an analysis of variance (ANOVA) and a Tukey interval test. The study results demonstrated that a high level of education leads to increased belief in the contributions that urban farming makes to improving the socialisation and recreation of city residents. The income level also significantly shapes opinions regarding the contribution of urban agriculture to the increase in recycling. This study reflected critical lifestyle perspectives that impact people’s perception of the benefits of urban agriculture. The findings are expected to provide new insights for regulators and decision-makers, enabling them to develop tailored methods, strategies, policies, and legal measures to achieve sustainable growth in the urban community. Full article

Human perceptions of animal consciousness have evolved over time, influencing how they are treated. This study aimed to assess perceptions of animal consciousness in people working in conservation. An online survey of 87 participants evaluated their perceptions of animals’ capabilities across 10 dimensions of consciousness, including self-consciousness, learning, and reasoning. The sum of the answers to the questions was validated as a “perception index” using a principal component analysis. Next, its variation according to taxonomic, demographic, professional factors, and the duration, type, and frequency of interaction with animals was assessed with generalized linear models and stepwise model selection. Participants’ perceptions varied with taxonomic class and the level of education, with mammals obtaining higher indexes than birds (−0.14; 95% confidence interval [CI] −0.24, −0.03, p < 0.01) or reptiles (−0.41; 95% CI −0.55, −0.27, p < 0.01), and respondents holding a PhD exhibiting higher perception indexes than those with BScs (−0.19; 95% CI −0.32, −0.06, p < 0.01) or lower education (−0.18; 95% CI −0.32, −0.03, p = 0.01). The attribution of consciousness followed a phylogenetic pattern, but several exceptions (e.g., the octopus and raven) were noted on a finer scale supporting a multifactorial influence on the perception of animal consciousness that emerges upon a baseline phylogenetic pattern. Finally, the results suggest that conservationists are influenced by culture and scientific knowledge, as much as their personal experiences, when evaluating animals’ perceptions, highlighting the need for further research on the convergence between perception, belief, and evidence. Full article

Background/Objectives: Rotavirus (RV) is the primary cause of gastroenteritis in children worldwide, contributing significantly to morbidity and mortality, particularly among children under five years of age. The introduction of Rotavirus vaccines (RVV) has markedly reduced RV-related childhood deaths, especially in Europe, where substantial reductions in hospitalizations and disease prevalence have been observed. Despite these advances, RVV uptake in Italy remains below the desired targets, with notable regional disparities. In Sicily, vaccination rates have fluctuated, with current coverage failing to meet national goals. Safety concerns and insufficient parental awareness are major barriers to RVV acceptance. Methods: This case-control study was conducted in Southern Italy to identify factors influencing parental acceptance of RVV. Data were collected from parents using a structured questionnaire that assessed socio-demographic factors, vaccine knowledge, and attitudes based on the Health Belief Model (HBM). Results: Overall, 226 parents were enrolled. Higher perceived benefit of RVV was significantly associated with increased vaccine adherence (Odds Ratio = 13.65; 95% Confidence Interval = 6.88–27.09; p < 0.001). Conclusions: These results highlight the need for targeted interventions to improve vaccine coverage and address regional and socio-economic barriers to RVV acceptance. Furthermore, tailored educational campaigns and univocal information from healthcare providers could play pivotal roles in achieving higher vaccine uptake. Full article

Interpretability requirements, complex uncertain data processing, and limited training data are characteristics of classification in some real industry applications. The interval belief rule base (IBRB) can deal with various types of uncertainty and provides high interpretability. However, there is a large number of parameters in IBRB, which makes it difficult for experts to accurately set them manually, limiting its application scope. To address this issue, this paper proposes an interval rule inference network (IRIN) with interpretability for classification models to automatically generate IBRB through integrating the ideas of the IBRB and the neural network. Firstly, hybrid data with different types are transformed into an interval belief distribution for automatic generation processing. Secondly, the interval evidence reasoning method is utilized as the inference engine to transfer information ensuring the process’s interpretability. Finally, a reasonable IBRB is generated automatically by updating the parameters by employing the learning engine in the neural network. Moreover, the differentiability of the interval evidence reasoning method in the IRIN is proved as a theoretical foundation of the IRIN, and an interpretability analysis of the IRIN’s structures is discussed. Experimental results demonstrate that the proposed method possesses high interpretability, enhancing the reliability of classification and maintaining the accuracy. Its application in an actual engineering case illustrates that it is particularly suitable for engineering problems where the explanation of results is a critical requirement. Full article

Background/Objectives: Supervised rehabilitation has been reported to improve motor and functional outcomes after lumbar spine surgery. However, the effects of supervised rehabilitation on psychosocial and participation-related outcomes are still debated. This study aimed to systematically review the effects of supervised rehabilitation on psychosocial and participation-related outcomes in patients after lumbar spine surgery. Methods: A systematic literature search was carried out using PubMed, EMBASE, CINAHL, PEDro, CENTRAL, and Google Scholar databases from inception to March 2024. Randomized controlled trials investigating the effects of supervised rehabilitation on psychosocial and participation-related outcomes after lumbar spine surgery were included. Methodological quality was assessed through the revised Cochrane risk of bias tool for randomized trials. Pooled effects were reported as the standardized mean difference (SMD) with a 95% confidence interval (CI₉₅) or reported qualitatively in the presence of clinical heterogeneity. The certainty of the evidence was rated through the GRADE approach. Results: Fifteen studies (1297 patients) were included. Very low evidence supported supervised rehabilitation to improve quality of life at 1 year (SMD: −0.28; CI₉₅ from −0.49 to −0.07, I² = 32%), while low evidence supported supervised rehabilitation to enhance self-efficacy at 6 months (SMD: −1.13; CI₉₅ from −1.54 to −0.72) and 1 year (SMD −1.03, CI₉₅ from −1.43 to −0.63). No effects of supervised rehabilitation were found on quality of life at 6 months or in terms of fear-avoidance belief, catastrophizing, anxiety, depression, and return to work at 6 months and 1 year (very low to low evidence certainty). Conclusions: Supervised rehabilitation improved quality of life and self-efficacy in patients after lumbar spine surgery. However, the certainty of the evidence ranged from very low to low, and further studies are needed. Full article

The stable operation of aerospace equipment is important for space safety, and the fault diagnosis of aerospace equipment is of practical significance. A fault diagnosis system needs to establish clear causal relationships and provide interpretable determination results. Fuzzy fault tree analysis (FFTA) is a flexible and powerful fault diagnosis method, which can deeply understand causes and fault mechanisms. The interval belief rule base (IBRB) can describe uncertainty. In this paper, an interpretable fault diagnosis model (FFDI) for aerospace equipment based on FFTA and the IBRB is presented for the first time. Firstly, the initial FFDI is constructed with the assistance of FFTA. Second, a model inference is implemented based on an evidential reasoning (ER) parsing algorithm. Then, a projection covariance matrix adaptive evolutionary strategy algorithm with an interpretability constraints (IP-CMA-ES) optimization algorithm is used for optimization. Finally, the effectiveness of the FFDI is verified by a flywheel dataset. This method ensures the completeness of the rule base and the interpretability of the model, avoids the problem of exploding certain combinations of rules, and is suitable for the fault diagnosis of aerospace equipment. Full article

The aim of this study is to examine the relationship between marital adjustment, spiritual well-being, and locus of control in married couples. A total of 526 married individuals living in İzmir, Turkey, 283 (53.8%) women and 243 (46.2%) men between the ages of 18 and 65, participated in the research. The married individuals were evaluated individually rather than as couples. The of control scale (LCS) developed by Dağ, the marital adjustment test (MAT) developed by Locke and Wallace and adapted into Turkish by Tutarel Kışlak, the spiritual well-being scale (SWBS) developed by Ekşi and Kardaş, and a socio-demographic information form were applied to the participants. SPSS 22.0 was used for statistical analysis of the data obtained in the study. The findings were evaluated at a 5% significance level within a 95% confidence interval (p < 0.05). The findings of the study revealed that the marital adjustment of male participants was higher than that of females, and that as spiritual well-being increased, marital adjustment also increased. A positive relationship was found between transcendence, one of the sub-dimensions of spiritual well-being, and marital adjustment and internal locus of control. Similarly, a positive correlation was identified between harmony with nature and marital adjustment and internal locus of control, while a negative relationship was found between anomie and marital adjustment and internal locus of control. Moreover, negative and significant relationships were found between marital adjustment and external locus of control determinants such as belief in luck, meaninglessness of making an effort, belief in an unjust world, and anomie, one of the sub-dimensions of spiritual well-being. Additionally, a positive relationship was found between higher education and internal locus of control, and a positive relationship between marriages conducted between the ages of 17 and 20 and an external locus of control. Full article

The Bayesian approach offers a flexible, interpretable and powerful framework for statistical analysis, making it a valuable tool to help in making optimal decisions under uncertainty. It incorporates prior knowledge or beliefs about the parameters, which can lead to more accurate and informative results. Also, it offers credible intervals as a measure of uncertainty, which are often more interpretable than confidence intervals. Hence, the Bayesian approach is utilized to estimate the parameters, reliability function, hazard rate function and reversed hazard rate function of a new competing risks model. A squared error loss function as a symmetric loss function and a linear exponential loss function as an asymmetric loss function are employed to derive the Bayesian estimators. Credible intervals of the parameters, reliability function, hazard rate function and reversed hazard rate function are obtained. Predicting future observations is important in many fields, from finance and weather forecasting to healthcare and engineering. Thus, two-sample prediction (as a special case of the multi-sample prediction) for future observation is considered. An adaptive Metropolis algorithm is applied to conduct a simulation study to evaluate the performance of the Bayes estimates and predictors. Moreover, two applications of medical and engineering data sets are used to test and validate the theoretical results, ensuring that they are accurate, applicable to real-world scenarios and contribute to the understanding of the world and inform decision-making. Full article

Most available scales for assessing family relationships are lengthy. Our aim was to develop and validate the Family Functioning and Cohesion Scale (FFCS), a self-reported, short instrument consisting of 14 items. The FFCS was validated through its administration to 481 subjects via an online platform. Cronbach’s alpha was 0.85 (ranging from 0.83 to 0.86 if any one item was deleted), signifying high internal consistency. The scale can be considered as a sole factor based on its high consistency, while factor analysis produced three factors corresponding to “communication”, “anger/resentment/aggression”, and “values and beliefs”. The test–retest reliability correlation coefficient was found to be 0.88 at a 2-week interval. Regarding external validity, the correlation coefficient of the FFCS with the general functioning subscale of the McMaster Family Assessment Device (FAD) was 0.83. The high measures of consistency, reliability, and validity of the FFCS, combined with its short length, make it a most valuable tool for use by researchers as well as by professionals dealing with families in psychiatry, psychology, social work, or other related fields. Full article

Understanding the resilience of photovoltaic (PV) systems to extreme weather, such as heatwaves, is crucial for advancing sustainable energy solutions. Although previous studies have often focused on forecasting PV power output or assessing the impact of geographical variations, the dynamic response of PV power outputs to extreme climate events still remains highly uncertain. Utilizing the PV power data and meteorological parameters recorded at 15 min intervals from 1 July 2018 to 13 June 2019 in Hebei Province, this study investigates the spatiotemporal characteristics of the PV power output and its response to heatwaves. Solar radiation and air temperature are pivotal in enhancing PV power output by approximately 30% during heatwave episodes, highlighting the significant contribution of PV systems to energy supplies under extreme climate conditions. Furthermore, this study systematically evaluates the performance of Random Forest (RF), Decision Tree Regression (DTR), Support Vector Machine (SVM), Light Gradient Boosting Machine (LightGBM), Deep Belief Network (DBN), and Multilayer Perceptron (MLP) models under both summer heatwave and non-heatwave conditions. The findings indicate that the RF and LightGBM models exhibit higher predictive accuracy and relative stability under heatwave conditions, with an R2 exceeding 0.98, with both an RMSE and MAE below 0.47 MW and 0.24 MW, respectively. This work not only reveals the potential of machine learning to enhance our understanding of climate–energy interplay but also contributes valuable insights for the formulation of adaptive strategies, which are critical for advancing sustainable energy solutions in the face of climate change. Full article

Background: Vaccine hesitancy is a complex challenge that demands a comprehensive approach, one that not only acknowledges legitimate concerns within communities but also actively confronts misinformation. In this context, this study aimed to investigate the prevalence of belief in conspiracy theories about COVID-19 vaccines among Brazilians, seeking to understand the factors associated with this behavior. Method: Utilizing a national online survey conducted between May and August 2020, with a sample of 4247 participants, we conducted multivariate analysis to identify the independent determinants of this adherence, calculating adjusted prevalence ratios (APRs) and their 95% confidence intervals. Results: It was revealed that 27.7% of participants believed in at least one conspiracy theory. Factors associated with a higher level of adherence included agreement with at least one piece of COVID-19 misinformation on social media (APR: 3.65; 95% CI: 3.07–4.34), lack of difficulty accessing leisure activities during the pandemic (APR: 3.11; 95% CI: 1.85–5.24), age 50 years or older (APR: 1.70; 95% CI: 1.49–1.94), absence of difficulty accessing protective measures (APR: 1.47; 95% CI: 1.26–1.72), use of face masks (APR: 1.62; 95% CI: 1.33–1.97), non-use of at least one traditional media source for information (APR: 1.47; 95% CI: 1.26–1.72), female gender (APR: 1.41; 95% CI: 1.25–1.60), and age between 30 and 49 years (APR: 1.35; 95% CI: 1.19–1.52). Conclusions: Our findings highlight that it is crucial to recognize that vaccine hesitancy is not merely an isolated phenomenon but often rooted in a complex interplay of social, cultural, psychological, and political factors. There is a need for multifaceted strategies to combat vaccine hesitancy, effectively address conspiracy theories, and consider the various factors associated with their prevalence. Full article

Biological inflammatory bowel disease (IBD) medications, once limited to intravenous (IV) administration, can now be administered both via IV and subcutaneously (SC). This study investigates patient preferences, willingness to switch from IV to SC, and associated factors. A questionnaire covering demographics, disease-related inquiries, quality of life, and IBD medication preferences was distributed via email, the Israeli Crohn’s Disease and Ulcerative Colitis Foundation, infusion centers, and clinics. From 454 IBD patients (median age: 42 years; 55.7% female), responses revealed a preference for SC every 8 weeks, which is comparable to daily oral dosing. Both options were significantly favored over IV every 8 weeks and SC every 2 weeks, with no statistically significant differences between the latter two. However, among patients who were experienced with both SC and IV administration, a clear preference for SC administration every 2 weeks over IV every 8 weeks surfaced. Among IV-treated patients, 54.5% resisted switching to SC. Key reasons for this included medical staff presence (57.7%), a fear of needles (46.4%), belief in infusion efficacy (37.1%), and longer intervals between infusions (36.1%). Findings suggest that transitioning from IV to SC treatment is challenging due to patient resistance, which is influenced by specific factors. Identifying and addressing these obstacles is crucial for optimizing IBD management. Full article