Miracle-dz/UniFAR-FTUs huggingface dataset:
Loss-Related Characteristics and Symptoms of Depression, Prolonged Grief, and Posttraumatic Stress Following Suicide Bereavement

(1) Background: The aim of the present study was to examine symptom classes of major depressive disorder (MDD), prolonged grief disorder (PGD), and posttraumatic stress disorder (PTSD) in a sample of suicide-bereaved individuals, while accounting for loss-related characteristics. (2) Methods: A latent class analysis was conducted to identify classes of the suicide bereaved, sharing symptom profiles, in a German suicide-bereaved sample (N = 159). (3) Results: Our analyses revealed three main classes: a resilient class (16%), a class with high endorsement probability for PGD symptoms (50%), and a class with high endorsement probability for combined PGD/PTSD symptoms (34%). Prolonged grief and intrusive symptoms emerged across all classes, while MDD showed low endorsement probability. Our results indicate an association between class membership and time passed since the loss; however, this applies only to the comparison between the PGD and the resilient class, and not for the PGD/PTSD class. (4) Conclusions: Our results may provide information about the predictability of symptom clusters following suicide bereavement. The findings also represent a significant step towards tailoring treatments based on the needs of relevant suicide-bereaved subgroups through a symptom-level approach. Time passed since loss might explain differences between symptom clusters.
Development and Validation of the Career and Life Development Hope (CLDH) Scale among Non-Engaged Youth in Hong Kong

Increasing career and life development hope (CLDH) is critical for the career and life pursuits of non-engaged youths (NEY) who face various disadvantages in the school-to-work transition, especially considering current challenging labor market conditions and the impacts of the pandemic. Nevertheless, research that explores the assessment of CLDH among NEY is scarce. To address this gap, this study aimed to develop and validate a CLDH measurement instrument. A total of 1998 NEY aged 13–29 years in Hong Kong participated in our study. Exploratory factor analysis of the 20-item CLDH scale suggested a two-factor structure—career and life development pathways (CLDP) and career and life development agency (CLDA)—which accounted for 63.08% of the total variance. The confirmatory factor analysis results show a good model fit (CFI = 0.934, TLI = 0.926, RMSEA = 0.060, 90% CI [0.055, 0.065], SRMR = 0.042) and all the items significantly represented the corresponding sub-constructs. The results also demonstrate a satisfactory internal consistency for all subscales and the full scale (0.89–0.95). Sub-group consistency across subsamples categorized by gender, age, and years of residence in Hong Kong was indicated. Correlations between the CLDH scale and subscales with other career-related and social well-being outcomes (i.e., youth career development competency, career adaptability, civic engagement, social contribution, and social integration) showed good concurrent validity. Our results support that the CLDH scale is a valid and reliable tool for measuring NEY’s hope for career and life development in the Hong Kong context. Theoretical and practical implications of the findings are also discussed.
Adaptive Discretization Using Golden Section to Aid Outlier Detection for Software Development Effort Estimation

The software engineering researchers have worked on different dimensions to facilitate better software effort estimates, including those focusing on dataset quality improvement. In this research, we specially investigated the effectiveness of outlier removal to improve estimation performance of 5 machine learning (ML) methods (Support Vector Regression, Random Forest, Ridge Regression, K-Nearest Neighbor, and Gradient Boosting Machines) for software development effort estimation (SDEE). We propose a novel discretization method based on Golden Section (dubbed as Golden Section based Adaptive Discretization, GSAD) to identify optimal number of outliers for SDEE dataset. The results signify the importance of optimal number of outliers’ removal to improve estimations. Moreover, the results obtained after applying GSAD technique have been compared with IQR and Cooks’ distance based outlier identification methods over 4 datasets: ISBSG Release 2021, UCP, NASA93 and China. The empirical results confirm that the performance of ML based SDEE methods is generally improving by employing GSAD and the proposed GSAD method has the ability to compete with the other prevalent outlier identification methods.
Exploring the intersection between students’ gender and migration background in relation to the equality of outcome in physical education in Sweden

ABSTRACT School grades are among the most common measurements used to analyze equality of outcome in education. Large or increasing ‘gaps’ in school grades between boys and girls and between students with different migration background are considered strong indicators of inequality. Based on students’ school grades, several studies have shown that equality in Swedish schools has decreased during the last two decades. Although equality has been described as one of the most important goals in physical education (PE), studies that focus on equality of outcome are lacking. Moreover, there have been no studies that focus on equality of outcome since the 2011 implementation of a new school grading system in Sweden. Therefore, the aim of this study is to contribute with new knowledge on equality in PE in Sweden – in regard to gender and migration background. The study is based on register data for all students enrolled in Swedish schools during the years 2012–2016 from Grades 6 and 9 and Year 1 in upper secondary school (N = 1,294,990). Based on a cross-sectional approach, analyses were conducted to explore general trends in students’ school grades in PE in the study period 2012–2016, and to calculate the percentage difference in PE grades between students with a Swedish background and both students with a foreign background and foreign-born students. After controlling for grade inflation, regression analyses with Wald tests were used to analyze how gender has moderated the relationship between migration background and school grades in PE in Sweden between 2012 and 2016. The results from this study suggest that (a) the intersection of gender and migration background is related to unequal school grades in PE, (b) there are gender equality issues in relation to students’ school grades in PE and, (c) the most prominent equality issues concern the group foreign-born girls.
The meaning and experience on nationalism among Indonesian migrant workers’ children in border area

Discussion related to nationalism has become an essential topic in the field of Indonesian education, particularly in the context of education in the border area. This study reported on the condition of educational services, and explored the meaning and experience of nationalism from Indonesian migrant workers' (IMW's) children at the community learning center (CLC) Sarawak, Indonesia-Malaysia border area. The study employed qualitative methods with a phenomenological approach, intended to produce in-depth data on the meaning and experience of nationalism from IMW's children attending CLC Sarawak, Malaysia. The data collected in this study used the main data through exhaustive interviews and observation, while additional data was collected through documentation. The results showed that CLC has made the optimal efforts in growing IMW's children nationalism in border areas, included: i) Implementing educational curriculum in accordance with curriculum standards in Indonesia; ii) Implement programs that can increase IMW's children nationalism; and iii) Improve access and quality education services for IMW's children in border areas. Furthermore, IMW's children interpret nationalism as a feeling of love, pride, and willingness to sacrifice for the nation and country with all their heart. The meaning of nationalism is constructed through various children’s experiences obtained in the school environment, family environment, and socio-cultural conditions in the community. The results and discussions reported in this study can serve as a reference and guideline for the Indonesian government to formulate and prioritize educational designs or policies for Indonesian migrant workers in border areas.
Pea Protein-Derived Peptides Inhibit Hepatic Glucose Production via the Gluconeogenic Signaling in the AML-12 Cells

Pea protein is considered to be a high quality dietary protein source, but also it is an ideal raw material for the production of bioactive peptides. Although the hypoglycemic effect of pea protein hydrolysate (PPH) has been previously reported, the underlying mechanisms, in particular its effect on the hepatic gluconeogenesis, remain to be elucidated. In the present study, we found that PPH suppressed glucose production in mouse liver cell-line AML-12 cells. Although both of the gluconeogenic and insulin signaling pathways in the AML-12 cells could be regulated by PPH, the suppression of glucose production was dependent on the inhibition of the cAMP response element-binding protein (CREB)-mediated signaling in the gluconeogenic pathway, but not the activation of insulin signaling. Findings from the present study have unveiled a novel role of PPH underlying its anti-diabetic activity, which could be helpful to accelerate the development of functional foods and nutraceuticals using PPH as a starting material.
PERCEIVED CHALLENGES AND SATISFACTION OF EDUCATION STUDENTS IN ONLINE DISTANCE LEARNING

The study aimed to determine the perceived challenges and satisfaction levels of Bachelor of Elementary Education in online distance learning. The descriptive-correlational design was used in this study. The investigations were conducted at Notre Dame of Midsayap College on fifty (50) BEED students who are enrolled in online distance learning for School Year 2021-2022 and the majority of them were female students. A researcher-modified survey questionnaire was used in data gathering, Frequency and percentage distribution, mean and standard deviation, t-test and ANOVA, and Pearson-r correlation were used in treating the data. The study revealed that the students have challenges in online distance learning. The study found out that the highest challenges encountered by the students in online distance learning are slow internet connection due to their location and facing many interruptions when learning at home such as household chores and other errands. The students are highly satisfied with how teachers showed interest in helping students to learn and the teacher’s accessibility and availability. Moreover, the respondents are least satisfied with how timely teachers give feedback on their performance. The study also revealed that there was a significant difference in the satisfaction level of the students in terms of their sex. Article visualizations:
Monoterpenoids Evolution and MEP Pathway Gene Expression Profiles in Seven Table Grape Varieties

This research investigated the evolution of both monoterpenoids and expression profiles of related biosynthesis genes in the MEP pathway in seven different table grape varieties from veraison to maturity stage in two seasons, and the correlation was further evaluated between monoterpenoid accumulation and expression of these genes studied in these varieties. Results showed that linalool, trans-furan linalool oxide, geraniol, and cis-furan linalool oxide were the main compounds in the five Muscat varieties two seasons. ‘Zaomeiguixiang’ had the highest contents of geraniol and β-Citronellol. ‘Xiangfei’ had the most abundant of linalool and cis-furan linalool oxide, whereas the neutral varieties of ‘Moldova’ and ‘Christmas Rose’ had the least amount. Monoterpenoid volatiles have been grouped in three evolutionary patterns in the berry development of these varieties. ‘Zaomeiguixiang’ and ‘Xiangfei’ had distinct different pattern of terpenoids evolution profiles. Pearson’s correlation analysis showed that in the MEP pathway, the first biosynthesis gene VvDXS3 was significantly correlated to the accumulation of monoterpenoids, and appeared to be an important candidate gene for synthesis of the monoterpenoids.
Constructing independent evidence from regression and instrumental variables with an application to the effect of violent conflict on altruism and risk preference

ABSTRACT To provide an unbiased estimate, a regression analysis depends, among other things, on there being no unmeasured confounding. Often, unmeasured confounding is thought to be possible, but not severe; leading to a secondary instrumental variables (IV) analysis. However, these two analyses are correlated. It is unclear how much independent evidence is provided by the IV analysis. We resolve this redundancy using a new estimator, which extracts the part of the regression estimator uncorrelated to the IV-based 2SLS estimator. We apply our approach to analyze the effect of exposure to violent conflict on preferences for altruistic behavior, time and risk.
Evaluation of OBDII data contribution in Tiny Machine Learning based Driving Behaviour Monitoring

Real-time monitoring of driving behaviors is extremely important for insurance companies, car rental companies, or as part of smart city solutions to prevent accidents and regulate traffic. For such applications, it is important to be able to perform split-second calculations that provide specific information on driver behavior. To this purpose, the use of artificial intelligence is of crucial importance, since it specifically allows the classification of a driver's style in fractions of a second while he is driving. In this work, two models of CNN (Convolutional Neural Networks) were trained through a Tiny Machine Learning approach using two different datasets. The first one is obtained using only a 3D accelerometer and a gyroscope, while the second also includes data from On-Board Diagnostic (OBD) port in which data are extracted directly from the Engine Control Unit (ECM). The two systems were compared by carrying out an efficiency analysis which led to important results in terms of optimization. Although the first model already demonstrates good efficiency in classifying the various driving styles, the model using the OBD introduces significant advantages in terms of both accuracy and the computational time required for classification.
Photocatalyzed difluoroalkylation of pyridine N-oxides

Abstract A photoredox catalytic strategy has been developed for the regioselective C2-, or C4-difluoroalkylation of pyridine N-oxides under mild conditions. This method provides an efficient protocol for the incorporation of electrophilic difluoroacetate radical (CF2CO2Et) into pyridine skeletons, based on the strategy of nitrogen-atom activation on electron-deficient pyridine moieties. Graphical Abstract
Evaluation of growth curve for South African non-descript indigenous goats using non-linear models

ABSTRACT Six non-linear regression models (3P and 4P Gompertz, 3P, 4P and 5P Logistic and Neural network) were computed to construct the growth curves of 50 South African non-descript indigenous goats (males = 20 and female = 30) from birth to twelve months of age, raised at the University of Limpopo Experimental Farm, South Africa. Candidate non-linear models were compared for the best predictive values based on the adjusted coefficient of determination (AdjR 2), root mean square error (RMSE), Akaike’s information criterion (AIC) and Bayesian information criterion (BIC). The results suggest that South African non-descript indigenous goats’ growth curve was best reconstructed in males using Logistic 4P, while Logistic 5P for the females. The growth parameters obtained from the current study might be used to define the feeding programmes to meet nutritional needs of South African non-descript indigenous goats from birth to one year of age.
Eliciting Consumers’ Health Consciousness and Price-Related Determinants for Polyphenol‐Enriched Olive Oil

ABSTRACT Several studies have evaluated consumer interest in olive oil as a functional food due to its multiple health benefits, but to date, no author has assessed consumers’ additional premium price for a differentiated product enriched with its own polyphenols. This paper aims to investigate which predictors are related to health consciousness by assessing the willingness to pay an additional premium price for olive oil with functional properties. In addition, the study assesses how self-perceived nutritional knowledge affects price levels and interest in olive oil characteristics. The survey was carried out in Italy and the statistical analyses were conducted in two stages: the first adopted an econometric approach to evaluate which variables are related to the additional premium price for the product while in the second stage, inferential statistics were performed to obtain information on the role of self-perceived nutritional knowledge. Based on these outcomes, the prominent role of extrinsic characteristics, such as Geographical Indications (GIs), local attributes and health nutritional information emerged, reaffirming the strong link with the territory and health concerns of modern olive oil consumers. Finally, high self-perceived nutritional knowledge respondents were aware of the antioxidant properties of olive oil and registered the highest price thresholds.
Evaluation of Medical Students’ Knowledge on Palliative Care: A Single Institution Cross-sectional Study

Background Palliative care is the branch of medicine which has a target of setting focus on the improvement of the quality of life of patients, particularly toward their end of life, such as cases of terminal diseases with low prognosis. Despite growing recognition of the importance of palliative care, a gap remains in medical education. Our study aims to evaluate the current level of knowledge of medical students in regard to palliative care. Methods A cross-sectional descriptive study was conducted in Batterjee Medical College, Jeddah, Saudi Arabia, through a period of three months from December 2021 to March 2022. Results A total of 254 students participated in our study. Psychosocial and spiritual needs of the patient alongside definition of palliative care were perceived the most important by the students with a mean score of 3.9 each. Conclusion Our study concludes that there is an overall lack of confidence among medical students in providing palliative care. We recommend further enhancement and implementation of palliative care as part of undergraduate mandatory courses.
Bulletin of Electrical Engineering and Informatics

Received Mar 10, 2022 Revised Jun 28, 2022 Accepted Jul 30, 2022 In this paper, we focus on the design, modeling and implementation of a MPPT controller based maximum power tracking of photovoltaic system. The electrical characteristic of The PV system is non-linear and changes with the solar irradiation and the ambient temperature. Therefore, the incremental conductance (IC) method control is known for its stability and robustness, and is used to extract the maximum energy from the PV source using a boost converter topology. It provides a strong basis for the improvement and optimization of control parameters of a photovoltaic system. Implementing MPPT algorithm usually need the use of a lot of sensors if accuracy of the system has to be increased. However, IC method with an extended Kalman filter (EKF) can be utilized in order to estimate some parameters to reduce the number of Sensors. The EKF is deployed in the optimal position to estimate both current and the capacitor voltage, thus allowing to eliminate two sensors devise from the entire PV system, which increases the system efficiency and reliability, simplifies the control method and decreases the system cost. The performance of the proposed technique is validated by experimental and simulation results under different operating conditions and load changes.
Orientation-reversing involutions on handlebodies

The observation that the quotient orbifold of an orientation-reversing involution on a 3-dimensional handlebody has the structure of a compression body leads to a strong classi(cid:12)cation theorem, and general structure theorems. The structure theorems decompose the action along invariant discs into actions on handlebodies which preserve the I -(cid:12)bers of some I -bundle structure. As applications, various results of R. Nelson are proved without restrictive hypotheses.
Stereotactic Radiosurgery for Lung Cancer with a Risk-Adapted Strategy Using the Volumetric Modulated Arc Therapy Technique: A Single Arm Phase II Study

Simple Summary Stereotactic radiosurgery (SRS) for lung cancer has an attractive schedule. In this study, we focused on the efficacy of SRS, and the primary endpoint of this study was the 3-year local recurrence rate. The results showed that the 3-year local recurrence rate was 5.3% (95% confidence interval: 0.3–22.2%), and this rate was less than the expected rate. Good results were obtained in this study and this regimen of SRS is a candidate for a future phase III trial. Abstract Purpose: A phase II study carried out to assess the efficacy of a risk-adapted strategy of stereotactic radiosurgery (SRS) for lung cancer. The primary endpoint was 3-year local recurrence, and the secondary endpoints were overall survival (OS), disease-free survival (DFS), rate of start of systemic therapy or best supportive care (SST-BSC), and toxicity. Materials and Methods: Eligible patients fulfilled the following criteria: performance status of 2 or less, forced expiratory volume in 1 s of 700 mL or more, and tumor not located in central or attached to the chest wall. Twenty-eight Gy was prescribed for primary lung cancers with diameters of 3 cm or less and 30 Gy was prescribed for primary lung cancers with diameters of 3.1–5.0 cm or solitary metastatic lung cancer diameters of 5 cm or less. Results: Twenty-one patients were analyzed. The patients included 7 patients with adenocarcinoma, 2 patients with squamous cell carcinoma, 1 patient with metastasis, and 11 patients with clinical diagnosis. The median tumor diameter was 1.9 cm. SRS was prescribed at 28 Gy for 18 tumors and 30 Gy for 3 tumors. During the median follow-up period of 38.9 months for survivors, 1 patient had local recurrence, 7 patients had regional or distant metastasis, and 5 patients died. The 3-year local recurrence, SST-BSC, DFS, and OS rates were 5.3% (95% confidence interval [CI]: 0.3–22.2%), 20.1% (95% CI: 6.0–40.2%), 59.2% (95% CI: 34.4–77.3%), and 78.2% (95% CI: 51.4–91.3%), respectively. The 95% CI upper value of local recurrence was lower than the null local recurrence probability. There was no severe toxicity, and grade 2 radiation pneumonitis occurred in 1 patient. Conclusions: Patients who received SRS for lung cancer had a low rate of 3-year local recurrence and tolerable toxicity.