Miracle-dz/UniFAR-FTUs huggingface dataset:
THE VULNERABILITY OF NOVICE EFL TEACHERS IN FORMAL AND NON-FORMAL TEACHING ENVIRONMENT

ABSTRACTStudies have investigated teacher vulnerability and its relation to teacher identity construction. Teacher vulnerability may emerge from internal and external conflicts based on teachers’ experiences. Though studies covered internal and external challenges for teachers, they rarely compared the academic environment aspect. This research intended to see if environment variables as external factors caused different experiences and vulnerabilities in novice EFL teachers. Therefore, this research aimed to determine if the different academic environments in formal and non-formal settings posed distinct challenges for novice EFL teachers. This study used narrative inquiry with a reflection and interview to gather the data. The participants were four novice EFL teachers: two teachers from formal education (FE) and non-formal education (NFE). The results showed that FE and NFE teachers shared some challenges, including student participation and classroom management, that led to vulnerability. Still, FE and NFE teachers also shared their distinct challenges. The teachers had similar strategies to cope with their vulnerability, but FE and NFE teachers employed additional strategies to face their distinct challenges. This study may help teachers consider different teaching environments for identifying and overcoming vulnerability. ABSTRAKBanyak studi telah meneliti kerentanan guru dan relasinya dengan pembentukan identitas guru. Kerentanan guru dapat tumbuh dari pertentangan internal dan eksternal, berdasarkan pengalaman para guru. Walau banyak studi telah mempelajari tantangan internal dan ekternal guru, namun belum banyak studi yang membandingkan aspek lingkungan akademik. Penelitian ini bertujuan untuk melihat apakah variabel lingkungan sebagai faktor eksternal menyebabkan perbedaan pengalaman dan kerentanan bagi guru Bahasa Inggris pemula. Maka dari itu, penelitian ini bertujuan untuk melihat apakah lingkungan akademik formal dan non-formal yang berbeda memberikan tantangan yang berbeda bagi guru Bahasa Inggris pemula. Penelitian ini menggunakan penelitian naratif dengan refleksi dan wawancara untuk mengumpulkan data. Responden studi ini adalah empat guru Bahasa Inggris pemula, dua orang dari pendidikan formal (PF) dan dua orang dari pendidikan non-formal (PNF). Hasil penelitian menunjukkan bahwa guru pendidikan formal dan non-formal mengalami berbagai tantangan serupa, seperti partisipasi siswa dan manajemen kelas, yang merujuk pada kerentanan guru, namun guru PF dan PNF juga mengalami tantangan yang berbeda. Untuk mengatasi kerentanan mereka, guru juga menerapkan strategi yang serupa, namun guru PF dan PNF juga menerapkan beberapa strategi yang berbeda dalam mengatasi tantangan. Penelitian ini dapat membantu para guru untuk mempertimbangkan lingkungan mengajar yang berbeda dalam mengidentifikasi dan mengatasi kerentanan.
AdaLN: A Vision Transformer for Multidomain Learning and Predisaster Building Information Extraction from Images

: Satellite and street view images are widely used in various disciplines as a source of information for understanding the built environment. In natural hazard engineering, high-quality building inventory data sets are crucial for the simulation of hazard impacts and for supporting decision-making. Screening the building stocks to gather the information for simulation and to detect potential structural defects that are vulnerable to natural hazards is a time-consuming and labor-intensive task. This paper presents an automated method for extracting building information through the use of satellite and street view images. The method is built upon a novel transformer-based deep neural network we developed. Specifically, a multidomain learning approach is employed to develop a single compact model for multiple image-based deep learning information extraction tasks using multiple data sources (e.g., satellite and street view images). Our multidomain Vision Transformer is designed as a unified architecture that can be effectively deployed for multiple classification tasks. The effectiveness of the proposed approach is demonstrated in a case study in which we use pretrained models to collect regional-scale building information that is related to natural hazard risks. DOI: 10.1061/(ASCE)CP.1943-5487
Transformational Leadership and Psychological Well-Being of Service-Oriented Staff: Hybrid Data Synthesis Technique

Leaders play a significant role in organizations and their leadership behaviors can either enhance or undermine the well-being of their employees. This study aimed to meta-analyze the relationship between transformational leadership and well-being in the service industry, and how employees’ gender and service sector moderated the strength of this relationship. This study used a convergent mixed-method approach. PubMed, MEDLINE, Google Scholar, AMED, and Scopus electronic databases were utilized to search for relevant studies. Textual data were analyzed using a text data-mining technique (Leximancer) to determine the relevant themes and concepts. Statistical data were examined through a comprehensive meta-analysis to determine their effect sizes. The qualitative results outline the major themes that emerged: leadership, well-being, and health. The quantitative findings revealed that the perceived well-being of male employees and those working outside of the health-care service sector was positively higher when employees’ leaders showed transformational leadership. In general, the findings from the qualitative and quantitative data converge. The findings confirm the positive relationship between transformational leadership and employee well-being. This study also highlights the applicability of a convergent mixed-method approach as a useful methodological strategy when analyzing both lexical and statistical data.
Prognosis of Implants with Implant-Supported Fixed Dental Prostheses in the Elderly Population: A Retrospective Study with a 5- to 10-Year Follow-Up

This retrospective study aimed to investigate the survival rate of implants from 5 to 10 years after the placement of implant-supported fixed dental prostheses (ISFDPs) and the management of implant loss in the elderly population. Elderly patients (≥65 years old) who had been treated with ISFDPs and followed up with for at least 5 years between October 2009 and March 2020 were enrolled. Patient profiles and implant-related data were extracted. The survival rate of implants up to 5 years as well as the 10-year cumulative survival rate were evaluated. The management of implant loss and prosthetic interventions were also investigated. In total, 195 patients (mean age: 70.1 ± 4.5 years old) and 687 implants (287 ISFDPs) were assessed. The 5-year survival rate was 99.0% and the 10-year cumulative survival rate was 98.1%. Seven of the eleven implants lost were lost due to peri-implantitis. Only three implants in two patients were placed after the loss of the implants; most were restored using non-invasive procedures. Two patients underwent a conversion from ISFDPs to removable prostheses. This study showed that high survival rates were observed in an elderly population with ISFDPs and that non-invasive procedures were often applied after the loss of an implant.
DNp63 expression is associated with poor survival in ovarian cancer

DNp63 expression is associated with poor survival in ovarian cancer S. Marchini* , M. Marabese , E. Marrazzo, P. Mariani, D. Cattaneo, R. Fossati, A. Compagnoni, R. Fruscio, A. A. Lissoni & M. Broggini Laboratory of Molecular Pharmacology; Department of Oncology, Laboratory of Translational Research and Clinical Outcome, Istituto di Ricerche Farmacologiche ‘Mario Negri’, Milan; Ospedale San Gerardo, Universita’ di Milano Bicocca, Monza, Italy
The within-person dynamics of affect, meaning in life, and perceived stress

ABSTRACT While the relationship between meaning in life and affect has been examined extensively in individual differences and experimental studies, we know little about the intraindividual dynamics of the naturally occurring relationships between these constructs. We examined meaning in life, positive/negative affect, and perceived stress across 13 weekly assessments in a sample of 50–95 year-olds (N = 226). Overall, there was qualitative similarity across between-individual and within-individual analyses, each showing unique relationships between positive affect and meaning in life, as well as between positive affect, negative affect, meaning in life, and perceived stress. Moreover, cross-lagged panel analyses confirmed that positive, but not negative affect, may have a causal and unidirectional effect on meaning in life, and that positive affect, negative affect, and meaning in life each have unique lagged, week-to-week effects on stress. These results suggest that each of these related constructs plays a unique functional role in individuals’ mental health and well-being.
Determination of CCT Diagram by Dilatometry Analysis of High-Strength Low-Alloy S960MC Steel

High-strength steels are used more than general structural steel due to their combination of properties such as high strength, good toughness and weldability. They are mainly used in the manufacture of heavy vehicles for the mining industry, cranes, transportation, etc. However, welding these grades of steel brings new challenges. Also, a simulation for welding high-strength steel is required more often. To insert a material database into the simulation program, it is necessary to conduct investigations using CCT (Continuous Cooling Transformation) diagrams, welded joints research, and more. To investigate the behavior of S960MC steel during heating and cooling, we used dilatometry analysis supported by EBSD (Electron Backscatter Diffraction) analysis. A CCT diagram was constructed. The transformation temperatures of Ac1 and Ac3 increase with increasing heating rate. The Ac1 temperature increased by 54 °C and the Ac3 temperatures by 24 °C as the heating rate increased from 0.1 °C/s to 250 °C/s. The austenite decomposition temperatures have a decreasing trend in the cooling phase with increasing cooling rate. As the cooling rate changes from 0.03 °C/s to 100 °C/s, the initial transformation temperature drops from 813 °C to 465 °C. An increase in the cooling rate means a higher proportion of bainite and martensite. At the same time, the hardness increases from 119 HV10 to 362 HV10.
Nutrition risk, physical activity and fibre intake are associated with body composition in OA: analysis of the Canadian Longitudinal Study on Aging

Objective Sarcopenic obesity is a key feature in osteoarthritis (OA). While ideal OA treatment involves physical activity and diet, how diet influences OA pathophysiology is unclear. We explored the associations between diet, nutrition risk and physical activity with body composition in older adults with OA. Methods Baseline data from the Canadian Longitudinal Study on Aging data set were analysed. Participants with hip, knee, hand or multiple forms of OA were included in this cross-sectional analysis. Body composition measures (lean, fat and total masses (kg) and body fat percentage) were separate dependent variables. Regression analyses were conducted to explore associations between body composition with dietary intake (high calorie snack, fibre), nutrition risk (SCREEN II) and physical activity (Physical Activity Scale for the Elderly). Results 1596 participants were 66.5 (9.0) years old with a body mass index of 28.2 (5.3) kg/m2. Higher fibre cereal intake was associated with higher lean mass (unstandardised beta coefficient 0.5 (0.1, 0.9), p=0.02) and lower body fat percentage (−0.3 (−0.6, 0.0), p=0.046). Lower nutrition risk was associated with higher lean mass (0.1 (0.0, 0.1), p=0.03), lower fat mass (−0.05 (−0.1, 0.0), p=0.009) and lower body fat percentage (−0.1 (−0.1, 0.0), p<0.001). Higher physical activity was associated with higher lean mass (0.01 (0.01, 0.02), p<0.001), lower fat mass (−0.01 (0.0, 0.0), p=0.005) and lower body fat percentage (−0.01 (0.0, 0.0), p<0.001). Conclusion Greater physical activity and lower nutrition risk were associated with better body composition. While fibre intake was also associated body composition, the CIs were wide suggesting weak associations.
Psycho-Religious Therapy improving the Quality of Life of the Elderly in Nursing Homes

Abstract BACKGROUND As people get older, body functions in the elderly will decrease so that it will affect their quality of life. One way to improve the quality of life of the elderly is to meet the basic needs of the elderly through a spiritual approach (Islamic psychotherapy). AIM: This study aims to determine the effect of Zikr on the quality of life of the elderly in nursing homes. METHODS: This study used a quasi-experimental nonequivalent control group design. The sampling technique used purposive sampling , a total of 10 respondents from the intervention group and 10 respondents from the control group. Quality of life score using the World Health Organization Quality of Life-BREF questionnaire (WHOQOL-BREF). The research analysis used paired t-test and Wilcoxon test for differences in quality-of-life scores of each group and for differences in quality of life between the intervention group and control group using unpaired t-test and Mann-Whitney test. RESULTS: The effect of psycho-religious therapy (Zikr) on the quality of life of the elderly in the intervention group before and after doing Zikr (p = 0.000), there were differences in 3 domains of quality of life, namely the psychological domain ( p = 0.000), the domain of social relations (p = 0.027), and the environmental domain. p = 0.010). CONCLUSION: Psycho-religious therapy (Zikr) affects the quality of life of the elderly in the nursing home and suggests Nursing homes to provide guidance with a religious approach, especially Zikr to improve the quality of life of the elderly.
The Influence of Walking Limitations on Daily Life: A Mixed-Methods Study of 14 Persons with Late Effects of Polio

Reduced walking ability is common in persons with late effects of polio (LEoP). Here, we explored how many walking limitations persons with LEoP perceive, and how these limitations influence daily life, by using a mixed-methods design. Fourteen persons (mean age 70 years, whereof 7 women) with LEoP responded to the Walking Impact Scale (Walk-12), and were interviewed individually. Qualitative data were analysed by systematic text condensation, and each quotation was deductively analysed in relation to the items in Walk-12. Running was perceived as most limited, whereas walking indoors without using support was perceived as least limited. A majority (>70%) were moderately to extremely limited in standing or walking, in walking speed and distance, which affected concentration and effort, as well as gait quality aspects. The limited walking ability intruded on many everyday activities, both indoors and outdoors, which affected social participation negatively. To increase safety when walking and reduce the fall risk, various strategies were adopted such as using aids, walking carefully, and avoiding risky activities. In conclusion, LEoP-related walking limitations influence participants’ activity and participation greatly. By using both the Walk-12 scale and face-to-face interviews, an increased understanding of how walking limitations influence everyday life was achieved.
Editorial report 2022

Abstract With its eighteenth annual volume, the Journal of Institutional Economics (JOIE) has come of age. This editorial report looks at the growth of the journal, summarises some of its achievements, reviews progress in addressing diversity and gender balance, outlines current editorial policy, and considers some further issues that are important for the future.
The Influence Of Corporate Governance On Integrated Reporting Disclosure Moderated By Type Auditor

The objective of this research is to the influence of independent board members, board size, female board, type of auditor to independent board members as a moderating variable on IRD The sample in this study was the LQ45 Non-Banking on Indonesia Stock Exchange in 2016-2020 period with a purposive sampling technique. The analytical tool used was Eviews 10 (x64). The result is independent board members have a positive effect and negative significant on IRD, board size have a positive effect on IRD, female board have a no effect on IRD, and type of auditor no strengthens independent board members on IRD
Yield Response of Faba Bean to Lime, NPSB, and Rhizobium Inoculation in Kiremu District, Western Ethiopia

Faba bean (Vicia faba L.) is one of the most important winter legume crops for human consumption as a green or dried, fresh, or canned. Low soil fertility and acidity are the major constraints of faba bean production in Ethiopia. A field experiment was conducted in the Kiremu district of West Oromia, Ethiopia, under rain-fed conditions on a farmer's field to evaluate the effect of different rates of lime and NPSB-blended fertilizer application with and without inoculation on yield components and yield of faba bean. The three factors, lime rates (0, 2, and 4 t ha−1), mineral fertilizer rates (0, 60, 120, and 180 kg·ha−1 NPSB), and rhizobium inoculation (with and without), were combined in 3 x 4 x 2 factorial arrangement of RCBD in three replications. The data were collected on yield and yield components and subjected to the analysis of variance (ANOVA). The ANOVA results revealed that the number of pods per plant, number of seeds per pod, hundred seeds weight, harvest index, aboveground biomass, and grain yield were significantly affected by the treatment. Therefore, the highest faba bean yield was obtained from the application of 2 t limes ha−1, 120 NPSB ha−1, and 500 g·ha−1 rhizobium inoculation, and thus, the integrated application of the aforementioned rates of lime, NPSB, and rhizobium inoculation could be recommended for maximizing the productivity profitability of faba bean production in the study area and similar agro-ecologies.
Reciprocal Teaching and Certainly of Response Index Learning Model Impact of Mastery Mathematics on Curriculum 2013

The problem and the aim of the study. In mathematics, the concept of mathematical mastery is essential. However, students' conceptual mastery of mathematics in curriculum 2013 (K-13) remains deficient. As a result, teachers must emphasize mathematical mastery in their instruction. Learning mathematics in a classroom, on the other hand, continues to face several challenges, including students' perceptions that mathematics is complex and uninteresting. Furthermore, mathematics performance scores in PISA lower than the OECD average. To tackle this phenomenon, improved mastery mathematics can be achieved using the Certainly of Response Index (CRI) and Reciprocal teaching (RT) learning models. Furthermore, this study aimed to compare the learning models of CRI and RT to mastery of mathematics, then determine which of the two learning models is more effective at improving students' mathematical mastery. Research methods. This method used is a quasi-experiment using a nonequivalent control group design. Essay questions were used with the angles and triangles material in both the pretest and post-tests. Cluster random sampling was used in this study to select participants at Secondary School Darul 'Amal of Metro, Lampung, Indonesia, consisting of 33 students’ both experimental class I (CRI learning model) and experimental class II (RT learning model). A t-test was used to test the hypothesis using statistical analysis SPSS software 25 and effect size to perform the learning model's effectiveness. Results. To test for normality and homogeneity, a significance level (α) of 0.05 should be used when conducting hypothesis testing. The average pretest and posttest scores of 50.17 and 82.23, respectively, in experiment 1 and 2. The normality and homogeneity of the pretest and posttest in both teaching model experiment class I and experiment class II are acceptable. The application of experiment I and Experiment II with sig value was 0.220 and 0.133, respectively, this indicates that the sample was drawn from a normally distributed population with a level of significance of 0.05. Using Levene's homogeneity of variance test, the angle and triangle test data were normally distributed, with a sig value of 0.517 for pretest and post-test was 0.531, the highest value above the 0.05. Based on the hypothetical test analysis, that tcalculate > ttable (3.86 > 1.99) indicates differences between the learning models used in experiments I and II. Additionally, the effect size score was 0.88 with high criteria. In conclusion, the CRI learning model and the RT learning model differ in mathematical mastery. The Effect Size test result was 0.88 in the high category. Based on the results, the CRI model has a greater impact on math mastery than the RT models. It is concluded that the CRI model can be used as an alternative solution for teaching and learning.
Estudos sobre a resistência ao jejum e aspectos nutricionais de Triatoma lecticularia (Stal, 1859) (Hemiptera, Reduviidae, Triatominae)

The resistance to fasting of Triatoma lecticularia was studied in all phases of the life cycle and the insect weighed in different nutritional situations (fed, not fed, death after starvation). The temperature and humidity level were also recorded. The nymphal phases showed increasing resistance to fasting as demonstrated by the following averages (days) 1st 45.84; 2nd 61; 3rd 88.74; 4th 123.44; 5th 162.30. Upon the adult phase, the averages were similar to those of the 3rd stage for the male insects 88.94 and for females 83.66. The weighing technique allowed for the measeurement of the quantity of blood ingested, the weight loss during the fast and the percentage weight lost as related to the initial weight. The species is found in the Neartic region where it has been found infected with Trypanosoma cruzi and is associated with the terrestial rodents Neotoma micropus Baird and Spermophilus variagatus (Erxelebem).
Visual Interpretation of CNN Prediction Through Layerwise Sequential Selection of Discernible Neurons

In recent years, researchers have been working to interpret the insights of deep neural networks in the pursuit of overcoming their opaqueness and so-called ‘black-box’ tag. In this work, we present a new posthoc visual interpretation technique that finds out discriminative image regions contributing highly towards networks’ prediction. We select most discernible set of neurons per layer and engineer the forward pass operation to gradually reach most discriminative image locations. While searching for discernible neurons, existing approaches either end up with low-resolution visualization maps, or suffer lack of neuron discriminativity in the way. Moreover, some methods concentrate only on current layer information overlooking meaningful information from adjacent layers, limiting the overall scope of selection. We address these issues by exploring the layer-to-layer connected structure of a neuron and obtaining contributions from its current layer along with its adjacent layers, e.g., succeeding and preceding layer. We introduce a score function where such contributions are assembled with appropriate priorities. Layerwise discernible neurons are then selected based on top scores, ensuring a reliable and credible selection. We validate our proposal through objective and subjective evaluations by examining its performance in terms of models’ faithfulness and human-trust, where we visualize its efficacy over other existing methods. We also perform sets of sanity check experiments on our method to show its overall reliability as a visualization map.