Miracle-dz/UniFAR-FTUs huggingface dataset:
Beck's Depression Inventory as a screening instrument for adolescent depression in Sweden: gender differences

Beck's Depression Inventory was administered in a study of all students aged 16–17 years in the first year of high school in a Swedish town, and was completed by 93% of them (n=2270). Cronbach's reliability coefficient alpha was 0.89, and there were strong correlations between item scores and total scores. A diagnostic interview focused on depressive diagnosis during the last year was conducted with 88% (n=199) of all students with high scores (≥16), and with the same number of controls with low scores. A depressive diagnosis was confirmed in 73% of high scorers and 13% of low scorers. The questionnaire performed better with girls than with boys. The mean score was significantly higher for girls, and the proposed limit for moderate depression (a score of 16) was reached by 14.2% of girls and 4.8% of boys. All symptoms were significantly more frequent and more severe in girls. It was found that 20% of girls and 6% of boys reported suicidal ideation. In a factor analysis the strongest factor that emerged differed between the sexes. For boys it included sadness, crying and suicidal ideation, and for girls it included failure, guilt, self‐dislike and feeling unattractive, combined with suicidal ideation. The gender differences are discussed.
Semantic representation of context models: a framework for analyzing and understanding

Context-aware systems are applications that adapt themselves to several situations involving user, network, data, hardware and the application itself. In this paper, we review several context models proposed in different domains: content adaptation, service adaptation, information retrieval, etc. The purpose of this review is to expose the representation of this notion semantically. According to this, we propose a framework that analyzes and compares different context models. Such a framework intends helping understanding and analyzing of such models, and consequently the definition of new ones. This framework is based on the fact that context-aware systems use context models in order to formalize and limit the notion of context and that relevant information differs from a domain to another and depends on the effective use of this information. Based on this framework, we consider in this paper a particular application domain, Business Processes, in which the notion of context remains unexplored, although it is required for flexibility and adaptability. We propose, in this paper, an ontology-based context model focusing on this particular domain.
Prevalence of Alzheimer's type dementia in an elderly Arab population

The aim of this study was to estimate the prevalence of dementia of the Alzheimer type (DAT) in an Arab Israeli community. Epidemiological studies of dementia have rarely been reported in Arab populations. The target population, aged 60 years or older, comprised 821 persons (362 males) who, on 1 October 1995, were residents of the rural area of Wadi Ara. These persons were examined for symptoms of dementia (DSM‐IV criteria), using a semistructured questionnaire for collection of demographic and medical data. Age, gender, and education‐specific prevalence rates were calculated for this population and compared to those obtained in other studies. DAT was diagnosed in 20.5% of this population. Its prevalence increased steeply with age, from 8% among those younger than 70 years to 33% among those aged 70–79 and 51% among those 80 years or older. Illiteracy was very common in this population, and strongly associated with higher prevalence of DAT (27% vs. 4%, P < 0.001). DAT was more prevalent among females than males (25% vs. 15%, P < 0.001). However, illiteracy was also significantly more frequent among women (96% vs. 42%, P < 0.001). After correction for illiteracy, the gender difference lost statistical significance. Few women smoked, but among men, the prevalence of DAT in those who smoked was lower as compared to non‐smokers (14% vs. 23%, a non‐significant difference). These results were confirmed by logistic regression wherein DAT was included as the dependent variable and age, illiteracy, gender and smoking as independent variables (OR=2.8, 2.8, 1.2 and 0.7, respectively; P < 0.005 for each, except for smoking). Our findings suggest that this population is unique because of extremely high rates of dementia. While the results support a protective effect of schooling against the development of dementia, other factors (e.g. genetic) must be sought to explain this high frequency.
Assessing perceived physical environmental variables that may influence physical activity.

The present study evaluated a measure of perceived physical environments that may influence physical activity. Forty-three self-report items were used to assess environmental variables at homes, in neighborhoods, or on frequently traveled routes. The presence of facilitators of (e.g., equipment, programs, attractive surroundings) and barriers to (e.g., high crime) physical activity was assessed. In 110 college students, test-retest reliabilities were . 89 for the home equipment scale, . 68 for the neighborhood scale, and . 80 for the convenient facilities scale. Home equipment and convenient facilities scales were correlated with self-reported physical activity. In multiple regression analyses, the only significant association, after adjusting for neighborhood socioeconomic status, was home equipment with strength exercise. Further research is needed to identify other environmental characteristics that may influence physical activity.
A Flexible Connection Model for Software Components

A component connection enables a component to use the functionality of other components directly, without generating adapters or other mechanisms at run-time. In conventional component connection models, the connection between components, particularly third-party components, is very costly for code reuse because the component source code must be modified if the types of requester-side and provider-side are different. This paper proposes a new component model, built upon an existing component architecture, which abandons a component service type and connects components based on a method type collection of the provider and requester components. Our model enables flexible connections owing to relaxed component matching, in which the system that implements our model automatically converts values of parameters, return values, and exceptions between required methods and provided ones within a well-defined range. As a result of experimental evaluations, it is found that our model is superior to conventional models in terms of the component-use cost and the capability of changing connections.
Synthetic Cannabis Analogues and Suicidal Behavior: Case Report

Introduction: Despite growing legal control, a wide range of synthetic cannabis analogues is currently used for recreational purposes, notwithstanding their well adverse outcomes, which appear to be more frequent and more serious than those associated with cannabis use. We present the case report of a patient with paranoid schizophrenia, who attempted suicide by serious bodily harm after a single use of “Shiva Ultra Strong,” a compound of several synthetic cannabis analogues. Case Summary: A 32-year-old male patient with paranoid schizophrenia was brought to the emergency department presenting with a severe self-inflicted wound to the neck which lacerated the right jugular vein and ipsilateral airway, and narrowly missed the carotid bifurcation. On examination, the patient exhibited psychomotor agitation and anxiety. Laboratory tests, which included routine substance use screening, proved unremarkable. The patient was admitted to the ENT Department for surgical treatment, after which he was transferred to our Psychiatry Department, exhibiting consistent improvement with his usual antipsychotic regimen, to which he had good previous adherence. Later, after discharge, he admitted to having used a smartshop drug, so-called “Shiva Ultra Strong,” shortly before the suicide attempt. Conclusion: Although current data on the suicide risk of synthetic cannabis analogues are limited, there is growing evidence of relevant psychiatric effects after their use. Patients with serious mental disorders could prove particularly vulnerable to these drugs, resulting in severe behavioral changes and self-harm.
Revisiting measurement of software complexity

Software complexity measures are often proposed as suitable indicators of different software quality attributes. The paper presents a study of some complexity measures and their correlation with the number of failure reports, and a number of problems are identified. The measures are such poor predictors that one may as well use a very simple measure. The proposed measure is supposed to be ironic to stress the need for a more scientific approach to software measurement. The objective is primarily to encourage discussions concerning methods to estimate different quality attributes. It is concluded that either completely new methods are needed to predict software quality attributes or a new view on predictions from complexity measures is needed. This is particularly crucial if the software industry is to use software metrics successfully on a broad basis.
Landscape features along migratory routes influence adaptive genomic variation in anadromous steelhead (Oncorhynchus mykiss)

Organisms typically show evidence of adaptation to features within their local environment. However, many species undergo long‐distance dispersal or migration across larger geographic regions that consist of highly heterogeneous habitats. Therefore, selection may influence adaptive genetic variation associated with landscape features at residing sites and along migration routes in migratory species. We tested for genomic adaptation to landscape features at natal spawning sites and along migration paths to the ocean of anadromous steelhead trout (Oncorhynchus mykiss) in the Columbia River Basin. Results from multivariate ordination, gene–environment association and outlier analyses using 24,526 single nucleotide polymorphisms (SNPs) provided evidence that adaptive allele frequencies were more commonly associated with landscape features along migration paths than features at natal sites (91.8% vs. 8.2% of adaptive loci, respectively). Among the 45 landscape variables tested, migration distance to the ocean and mean annual precipitation along migration paths were significantly associated with adaptive genetic variation in three distinct genetic groups. Additionally, variables such as minimum migration water temperature and mean migration slope were significant only in inland stocks of steelhead that migrate up to 1,200 km farther than those near the coast, indicating regional differences in migratory selective pressures. This study provides novel approaches for investigating migratory corridors and some of the first evidence that environment along migration paths can lead to substantial divergent selection. Consequently, our approach to understand genetic adaptation to migration conditions can be applied to other migratory species when migration or dispersal paths are generally known.
Coffee Decreases the Risk of Endometrial Cancer: A Dose–Response Meta-Analysis of Prospective Cohort Studies

Aim: The aim of this study was to perform a comprehensive meta-analysis of the association between coffee consumption and risk of endometrial cancer. Methods: Eligible studies were identified by searching the PubMed and EMBASE databases. The dose–response relationship as well as the risk of endometrial cancer for the highest versus the lowest categories of coffee consumption were assessed. Subgroup analyses considering the menopausal and receptor statuses, the smoking status, and the BMI (Body Mass Index) were performed in order to identify potential confounders. Results: We identified a total of 12 studies eligible for meta-analysis. A dose–response meta-analysis showed a decreased risk of endometrial cancer. Moreover, a subgroup analysis indicated that coffee consumption is significantly associated with a decreased risk of postmenopausal cancer. Increasing coffee consumption by four cups per day was associated with a 20% reduction in endometrial cancer risk (relative risk (RR) 0.80; 95% confidence interval (CI) 0.72 to 0.89) and with a 24% reduction in postmenopausal cancer risk (RR 0.76; 95% CI 0.69 to 0.83). Conclusions: Our findings suggest that increased coffee consumption is associated with decreased risk of endometrial cancer, and this association is observed also for postmenopausal cancer.
Overcoming Equifinality: Leveraging Long Time Series for Stream Metabolism Estimation

The foundational ecosystem processes of gross primary production (GPP) and ecosystem respiration (ER) cannot be measured directly but can be modeled in aquatic ecosystems from subdaily patterns of oxygen (O2) concentrations. Because rivers and streams constantly exchange O2 with the atmosphere, models must either use empirical estimates of the gas exchange rate coefficient (K600) or solve for all three parameters (GPP, ER, and K600) simultaneously. Empirical measurements of K600 require substantial field work and can still be inaccurate. Three‐parameter models have suffered from equifinality, where good fits to O2 data are achieved by many different parameter values, some unrealistic. We developed a new three‐parameter, multiday model that ensures similar values for K600 among days with similar physical conditions (e.g., discharge). Our new model overcomes the equifinality problem by (1) flexibly relating K600 to discharge while permitting moderate daily deviations and (2) avoiding the oft‐violated assumption that residuals in O2 predictions are uncorrelated. We implemented this hierarchical state‐space model and several competitor models in an open‐source R package, streamMetabolizer. We then tested the models against both simulated and field data. Our new model reduces error by as much as 70% in daily estimates of K600, GPP, and ER. Further, accuracy benefits of multiday data sets require as few as 3 days of data. This approach facilitates more accurate metabolism estimates for more streams and days, enabling researchers to better quantify carbon fluxes, compare streams by their metabolic regimes, and investigate controls on aquatic activity.
Design of Water Hammer Control Strategies in Hydropower Plants

Hydropower plants play an important role in the growth of the renewable energy sector. The main objective of the paper is to present, discuss and assess critical parameters which may cause unacceptable water hammer loads in hydropower plants. Water hammer is caused by flow disturbances in a conduit from one steady state to another. It induces pressure rise or drop in hydraulic systems, rotational speed variation in hydraulic turbomachinery and level fluctuation in surge tanks and air chambers. Design principles of water hammer control strategies (mitigation of excessive loads) are outlined including operational scenarios (closing and opening laws), surge control devices (flywheel, surge tank, regulating valve, air valve, etc.) or redesign of the pipeline components. Water hammer models and solutions are briefly discussed in the light of their capability. Case studies include hydropower plants with long fluid conveying systems (open channels, tunnels) and water hammer control devices (surge tank, regulating valve). ARTICLE HISTORY
The Development of a Repetition-Load Scheme for the Eccentric-Only Bench Press Exercise

Abstract The purpose of the present study was to develop a repetition-load scheme for the eccentric-only bench press exercise. Nine resistance trained men (age: 21.6 ± 1.0 years; 1-repetition maximum [RM] bench press: 137.7 ± 30.4 kg) attended four testing sessions during a four week period. During the first session each subject’s 1-RM bench press load utilizing the stretch-shortening cycle was determined. During the remaining sessions they performed eccentric-only repetitions to failure using supra-maximal loads equivalent to 110%, 120% and 130% of their 1-RM value with a constant cadence (30 reps·min-1). Force plates and a three dimensional motion analysis system were used during these final three sessions in order to evaluate kinematic and kinetic variables. More repetitions were completed during the 110% 1-RM condition compared to the 130% 1-RM condition (p=0.01). Mean total work (p=0.046) as well as vertical force (p=0.049), vertical work (p=0.017), and vertical power output (p=0.05) were significantly greater during the 130% 1-RM condition compared to the 110% 1-RM condition. A linear function was fitted to the number of repetitions completed under each load condition that allowed the determination of the maximum number of repetitions that could be completed under other supra-maximal loads. This linear function predicted an eccentric-only 1-RM in the bench press with a load equivalent to 164.8% 1-RM, producing a load of 227.0 ± 50.0 kg. The repetition-load scheme presented here should provide a starting point for researchers to investigate the kinematic, kinetic and metabolic responses to eccentric-only bench press workouts.
Adaptive Inferential Sensors Based on Evolving Fuzzy Models

A new technique to the design and use of inferential sensors in the process industry is proposed in this paper, which is based on the recently introduced concept of evolving fuzzy models (EFMs). They address the challenge that the modern process industry faces today, namely, to develop such adaptive and self-calibrating online inferential sensors that reduce the maintenance costs while keeping the high precision and interpretability/transparency. The proposed new methodology makes possible inferential sensors to recalibrate automatically, which reduces significantly the life-cycle efforts for their maintenance. This is achieved by the adaptive and flexible open-structure EFM used. The novelty of this paper lies in the following: (1) the overall concept of inferential sensors with evolving and self-developing structure from the data streams; (2) the new methodology for online automatic selection of input variables that are most relevant for the prediction; (3) the technique to detect automatically a shift in the data pattern using the age of the clusters (and fuzzy rules); (4) the online standardization technique used by the learning procedure of the evolving model; and (5) the application of this innovative approach to several real-life industrial processes from the chemical industry (evolving inferential sensors, namely, eSensors, were used for predicting the chemical properties of different products in The Dow Chemical Company, Freeport, TX). It should be noted, however, that the methodology and conclusions of this paper are valid for the broader area of chemical and process industries in general. The results demonstrate that well-interpretable and with-simple-structure inferential sensors can automatically be designed from the data stream in real time, which predict various process variables of interest. The proposed approach can be used as a basis for the development of a new generation of adaptive and evolving inferential sensors that can address the challenges of the modern advanced process industry.
The effects of posterior pericardiotomy on pericardial effusion, tamponade, and atrial fibrillation after coronary artery surgery

Introduction Pericardial effusion and atrial fibrillation occur commonly after coronary artery surgery. Aim of the study A prospective randomized clinical trial was conducted to evaluate the effects of posterior pericardiotomy on the occurrence of pericardial effusion, tamponade, and atrial fibrillation. Material and methods The study group consisted of 96 patients (77 male and 19 female) at a mean age of 58.1 ± 9.8 years. The patients were randomly assigned to one of three study groups: patients undergoing posterior pericardiotomy (group I, n = 30), controls (group II, n = 33), and patients with additional posterior pericardial drainage tubes (28 mm) who did not undergo posterior pericardiotomy (group III, n = 33). Results Postoperative hospitalization (p = 0.03; 11.56 ± 10.64) and reoperation due to tamponade (p = 0.019; 12.1%) were significantly higher in group II. Extensive pericardial effusions were detected in one patient on the first postoperative day (group II, n = 1), in one patient on the fifth postoperative day (group III, n = 1), and in one patient on the 30th day after the operation (group III, n = 1). Pericardial effusion exhibited regression in group I on postoperative day 30 (p = 0.028). A higher rate of postoperative atrial fibrillation was noted in group I, but no significant differences were found between the groups with regard to postoperative atrial fibrillation. Conclusions Patients who did not undergo posterior pericardiotomy or did not receive posterior chest tubes exhibited residual pericardial effusion, required longer hospitalization, and had to be reoperated due to tamponade. Both posterior pericardiotomy and the use of posterior tubes are effective in the early postoperative period.
Competition, Cooperation and Collective Choice

The ability of groups to implement efficiency-enhancing institutions is emerging as a central theme of research in economics. This paper explores voting on a scheme of intergroup competition which facilitates cooperation in a social dilemma situation. Experimental results show that the competitive scheme fosters cooperation. Competition is popular but the electoral outcome depends strongly on specific voting rules of institutional choice. If the majority decides, competition is almost always adopted. If likely losers from competition have veto power, it is often not, and substantial gains in efficiency are foregone.
Complex Oscillation-Based Test and Its Application to Analog Filters

Testing is a critical factor for modern large-scale mixed-mode circuits. Strategies for mitigating test cost and duration include moving significant parts of the test hardware on-chip. This paper presents a novel low-overhead approach for design for test and built-in self-test of analog and mixed-mode blocks, derived from the oscillation-based test framework. The latter is enhanced by the use of complex oscillation regimes, improving fault coverage and enabling forms of parametric or specification-based testing. This technique, initially proposed targeting large subsystems such as A/D converters, is here illustrated at a much finer granularity, considering its application to analog-filter stages, and also proving its suitability to backfit existing designs. The simple case of a switched-capacitor second-order bandpass stage is used for illustration discussing how deviations from nominal gain, central frequency, and quality factor can be detected from measurements not requiring A/D stages. A sample design is validated by simulations run at the layout level, including Monte Carlo analysis and simulations based on random fault injections.
A hierarchy of meaning systems based on value

The paper presents the outlines of a general, multidisciplinary theory of meaning based on the concept of value as a biological and social category, synthesizing ideas from biologically oriented psychology, semiotics and cybernetics. The theory distinguishes between four types of meaning systems: cue-based, association-based, icon-based and symbol-based , forming an evolutionary and epigenetic hierarchy. This hierarchy is applied to phylogenetic and ontogenetic development, pointing out significant parallels between the two, involving both continuity and discontinuity between different levels, i.e. meaning systems. The theory is finally applied to the field of developing intelligent artificial autonomous systems, showing grave limitations in existing systems and suggesting guidelines for future work.