Miracle-dz/UniFAR-FTUs huggingface dataset:
Social and personal resources and adaptive and non-adaptive strategies for coping with stress in a group of socially maladjusted youths

This article is the result of an empirical research project analysing the relationship between the resources of socially maladjusted youth and their strategies for coping with stress. The research was focused on non-formal functional support from family members and two types of personal resources – resilience and a sense of coherence – in forming tendencies to take advantage of adaptive and non-adaptive strategies for coping with stress. The research participants consisted of young, socially maladjusted people who have been directed to attendance centres, youth sociotherapy centres, and youth educational centres all over Poland (N = 468). Structural equation modelling was used to verify the basic hypotheses. The observed data confirmed most of the assumptions. The sense of family support was positively related to an adaptive strategy and, contrary to expectations, to a non-adaptive strategy. The family support experienced not only had a direct impact on intensifying adaptive and non-adaptive strategies but also influenced coping with the use of personal resources. The impact of family resources on resilience and the sense of coherence were similar, but the relationship of a sense of coherence was weaker than the relationship of resilience with an adaptive strategy. Resilience turned out to be the strongest predictor of an adaptive strategy. The relationship between resilience and a non-adaptive strategy was insignificant, but a sense of coherence worked in favour of planning, positively reinterpreting the situation and actively undertaking actions focused on the problem, and at the same time lowered the tendency to release emotions and self-blame.
Nonprofit branding: a bibliometric analysis

This study aims to examine articles on nonprofit branding over an 18-year time span to develop an overview and better understanding of the subject. ,This study used the Scopus database in a search for studies that deal, regardless of the approach, with branding in a nonprofit context. Subsequently, through a systematic review, a database with 84 articles was generated and 77 articles were submitted to bibliometric analysis. ,This study identified six main research areas (brand and donation, brand management, brand orientation, nonprofit and for-profit partnership, communication strategies and stakeholder management), which were analyzed and discussed, seeking to identify the relationship between research in each area. In addition, this study presents the limitations of the research and thus verify that, although this body of literature is growing, the complexity of the nonprofit sector offers several opportunities for future research, which are pointed out at the end of the study. ,This study contributes to the academic literature on the topic by providing a systematization of knowledge about branding in the nonprofit sector and also offers insights about nonprofit branding to institutions and managers in this industry. ,This is the first study, to the authors’ knowledge, to evaluate and quantify the progress of brand literature in the nonprofit sector.
Deliberate Supervision: Practical Strategies for Success

Clinical supervisors play a fundamental role in enabling students to transform knowledge into clinical skills. The 2020 changes to Speech-Language Pathology Certification Standards will require speech-language pathologists who want to serve as clinical supervisors of applicants for certification to complete a minimum of 9 months of practice experience postcertification and 2 hr of professional development in the professional practice domain of supervision postcertification prior to overseeing a student in a clinical supervisor capacity. This article describes a framework for clinical supervisors of graduate students to use based on the premise that supervision should be an intentional reflective activity. The authors describe how to plan for clinical education across practice settings, provide appropriate feedback, and use questions effectively. https://doi.org/10.23641/asha.11528250
Interacción entre el uso y la adicción a las redes sociales y teléfonos móviles entre estudiantes universitarios

The objective of the present study is to analyze the main uses of social media among men and women, according to the daily hours of use and the addictive behavior to social media. A questionnaire of addiction to social media was applied to a sample of 466 participants. Of the total, 60.5% were women and 39.5% were men. Significant differences were reported in the linear model between the main uses and the addictive behavior and the hours of use. In addition, a significant relationship was found between the use, addiction to social media and to mobile phones in men and women. In conclusion, there are specific differences between the main uses with addictive behavior and the daily hours of use. Although the popularity of the use of social media increases significantly, the risk factors of unhealthy use also increase. Keywords: Addiction, Social Media, Mobile Phone, Gender, Young People. doi: https://doi.org/10.36825/RITI.07. 14.007
Iterative Sub-Band and Power Allocation in Downlink Multiband NOMA

Nonorthogonal multiple access (NOMA) promises higher throughput than the conventional orthogonal access by multiplexing the signal of a weak user with that of a strong one. Identifying the right combination of users with an appropriate assignment of power appears to be the bottleneck in achieving optimal throughput in NOMA-driven systems. Despite the large volume of literature, it is still not well understood how the task of joint user selection and power allocation (PA) can be efficiently performed in multiband NOMA systems in the presence of a large number of users’. To address this task, we propose a variable PA (VPA) scheme across sub-bands and evaluate its performance. Contrary to previous studies, we find that the proposed VPA scheme significantly outperforms the previously known schemes when the number of users and variation in their associated signal-to-interference-plus-noise ratios (SINRs) are large. Our investigation also helps to visualize how the system throughput, the average number of selected users, and the system fairness change as functions of system parameters like SINRs and the number of system users.
Systematic Errors in South Asian Monsoon Precipitation: Process-Based Diagnostics and Sensitivity to Entrainment in NCAR Models

In simulations of the boreal summer Asian monsoon, generations of climate models show a persistent climatological wet bias over the tropical western Indian Ocean and a dry bias over South Asia. Here, focusing on the monsoon developing stages (May–June), process-based diagnostics are first applied to a suite of NCAR models and reanalysis products. Two primary factors are identified for the initiation and maintenance of the wet bias over the northwestern Indian Ocean (NWIO; 5°–15°N, 52°–67°E): (i) excessive tropospheric moisture and (ii) restrained horizontal advection of the 1000–800-hPa levels cold–dry air couplet that originates offshore of Somalia. Second, guided by the diagnostics, we hypothesized that insufficient dilution of convective updrafts is one possible candidate for model bias and performed a series of enhanced entrainment sensitivity experiments with NCAR CAM4. Over the NWIO, the results suggest that globally increasing the maximum entrainment rateεmaxleads to a drier free troposphere, arrests the vertical extension of clouds, and weakens moisture–convection and cloud–radiation feedbacks; each factor contributes to a reduced wet bias. Moreover, a higherεmaxleads to a reduced dry bias over South Asia through changes in the local circulation features. In CAM4, improved precipitation climatology due to increasedεmaxsuggests that insufficient dilution is one factor, but not the only one, that contributes to systematic errors. Rather, realistic representation of boundary layer processes in climate models arising out of local ocean–atmosphere interaction processes off Somalia’s coast deserves attention in reducing the NWIO wet bias.
Impact of Junior Officer Training Corps (JROTC) on educational and socioeconomic outcomes

Despite a century of existence in the secondary educational system, the societal value of JROTC remains at odds among researchers, policy makers, and educational administrators alike. Much of the debate circulates around the role of Junior Reserve Training Corps (JROTC) in the American secondary education system as a youth development program or as a federal government program to militarize American adolescents. The purpose of this study is to investigate whether JROTC participation influences educational outcomes associated with: accomplishment, responsibility, service, and citizenship; and, socioeconomic status (SES) outcomes as measured by: income, educational attainment, and occupational prestige. Research to date has primarily focused on traditional educational outcomes of JROTC participation associated with accomplishment and responsibility, such as graduation/dropout rates, discipline and s uspension issues, and JROTC’s role in military recruitment. This study, using longitudinal data derived from the National Center of Education Statistics (NCES) Educational Longitudinal Study of 2002 (ELS: 2002), breaks from the traditional patterns of research and includes educational outcomes associated with citizenship and service, along with socioeconomic outcomes associated with income, educational attainment and occupational prestige. The research suggests that JROTC participation has mixed results with respect to educational outcomes as determined by the selected proxy variables utilized in this study. JROTC participants generally reported
RESEARCH DEVELOPMENT RELATED TO IMPLEMENTATION OF FINANCIAL ACCOUNTING STANDARDS IN INDONESIA

This study tries to investigate the development of accounting standard research from 7 accredited journal in Indonesia. We conduct a sample of 35 articles for the period 2003-2017. Each article will be classified based on research topics, research methods, and kinds of standards that was observed by the researchers. The most widely researched topics related to the Financial Accounting Standards are topics related to the IFRS-based Financial Accounting Standards. The most commonly used research method is analytical method as much as 21 articles (60%). Standards that was observed by 26 articles (74,3%) is the implementation of Indonesian IFRS-based Financial Accounting Standards (SAK-IFRS). The other observed Indonesian Governmental Accounting Standards (SAP), Indonesian sharia accounting standard (SAK Syariah) and Indonesian Accounting Standard Non Publicly Accountable Entities (SAK-ETAP) where each of them are 3 articles, 5 articles and 1 article. Keywords: Analisis, financial accounting standards, bibliography, IFRS, the Government Accounting Standards, SAK-ETAP, SAK Sharia.
eMatsya – An Innovative Data Acquisition System to Collect Fish Catch Data From Reservoirs and Other Inland Water Bodies

Collection of real-time fish catch data from inland water bodies of India has been a huge challenge for a multiplicity of factors – a large number of inland water resources and their scatter being the most important among other things. To overcome this problem, making use of mobile communication technology, an Electronic Data Acquisition System (eDAS) was developed along with an Android Application eMatsya that was implemented on smart mobile phones of fishery friends (knowledgeable fishers who could send data using eMatsya) to collect fish catch data from inland water bodies. The data sent by fishery friends using eMatsya would get populated in the database MySQL in the webserver. Trial-implementation of eMatsya in selected reservoirs of Karnataka and Jharkhand (Indian states) not only yielded promising results but also proved that the scaling-up of this eDAS implementation is easy and when done at the national level would result in a continuous flow of authentic information on inland fish catch data. The eMatsya would significantly reduce the time, cost of collection of data and would facilitate in developing a database of the inland fish catch of the Indian reservoirs.
Research on Interdisciplinary Characteristics: A Case Study in the Field of Artificial Intelligence

In order to show the interdisciplinary laws of the subject fields and analyze the interdisciplinary structure of the field and the contents of knowledge research, a clear-structured framework of interdisciplinary feature recognition is constructed. Taking the field of artificial intelligence as an example, this paper analyzes it from the aspects of disciplinary diversity and disciplinary coherence. Disciplinary diversity is characterized by the distribution of disciplines, Shannon entropy and Rao-Stirling index. Disciplinary coherence is based on network analysis, which mainly includes discipline citation network and core, important and marginal discipline-keyword cooccurrence network at a finer granularity level. These two levels more comprehensively show the distribution and flow of discipline knowledge in this field. Through empirical research, it is found that the field of artificial intelligence involves a variety of disciplines, and its interdisciplinary situation evolves over time, forming clusters of disciplines with tight knowledge flow. In addition, the cross-topic domains of disciplinary research are also different. The results show that the framework system has certain reliability and can provide reference for related research.
SDF-1 Improves Renal Fibrosis in Type 2 Diabetes Mellitus Involving TGF-beta-mediated ECM via PI3K/AKT Signaling

The present study investigated the role of stromal cell-derived factor-1 in the progression of renal injury in type 2 diabetic nephropathy. The 8-week old male db/db mice were used as the model of diabetic nephropathy and aged-matched male C57BL/6 mice constituted the control group. Fasting blood glucose, 24 hour urinary albumin and the creatinine clearance rate were measured. The expressions of stromal cell-derived factor-1, CXC chemokine receptor 4 and F4/80 were detected. Normal rat kidney epithelial cells were exposed to stromal cell-derived factor-1α, high glucose, tumor growth factor-β1, valsartan and LY294002, respectively. The extracellular matrix expression was evaluated. It was found that creatinine clearance rate was significantly decreased in 28-week db/db mice compared to the age-matched C57BL/6 mice and valsartan could significantly increase creatinine clearance rate. The expression of stromal cell-derived factor-1, CXC chemokine receptor 4 and F4/80 was significantly increased in the kidney of db/db mice but not in C57BL/6 mice, which was improved with valsartan treatment. In vitro, the expression of CXC chemokine receptor 4 was detected in the rat kidney epithelial cells. Tumor growth factor-β1 increased the expressions of type IV collagen and fibronectin in rat kidney epithelial cells under low glucose and high glucose condition. Stromal cell-derived factor-1α inhibited the harmful effect of tumor growth factor-β1 on extracellular matrix expression, and valsartan exerted synergistic effect on stromal cell-derived factor-1α. Stromal cell-derived factor-1α decreased tumor growth factor-β1expression and increased p-AKT expression, which were inhibited by LY294002 treatment. Stromal cell-derived factor-1 improved renal fibrosis which might partly involve TGF-β-mediated extracellular matrix via PI3K/AKT pathway.
A Game Design Plot: Exploring the Educational Potential of History-Based Video Games

The number of video games that are developed based on real historical events and evidence is increasing. These history-based video games provide learning opportunities to players, but a certain type of such games—first- and third-person shooters—has not been carefully examined for their potentials. Knowing what players say about their game experience—even if the information and knowledge are inaccurate—helps researchers understand what type of learning could happen with such games. In this article, we propose a systematic approach to assessing games as learning environments, using the method of comparing the authenticity of popular history-based video games. Through a qualitative data analysis, we studied players’ comments on the web-based communication services, such as game forums, digital distribution platforms, and discussion websites. Casual players’ conversations on these websites showed that there exist several learning potentials in the games for players, including building their understanding about history and historical forces of the time, through personally relating to specific events, social artifacts, and places.
Fit of the 2011 Indonesian Mortality Table to Gompertz's and Makeham's Law using Maximum Likelihood Estimation

This research discusses the estimation of the parameters for Gompertz’s law and Makeham’s law using the Maximum Likelihood Estimation method. A numerical approach to estimate the parameters of Gompertz’s law is the Newton-Raphson method. In the Makeham’s law, we use the Lagrange multiplier method to solve constraints of 0.001 < � < 0.003 , 10 �� < � < 10 �� , and 1.075 < � < 1.115 , and Broyden as a method to estimate the parameter numerically. The estimation result shows that parameter � converges to 0.005749 and parameter � converges to 1.024738 in the Gompertz’s law. In the Makeham’s law, the estimated parameters that satisfied the constraints are � converges to 0.00300344, � converges to 0.0002716465, and � converges to 1.113395. Based on the Average Relative Error (ARE) that calculated from the estimated for p x , the 2011 Indonesian Mortality Table (the 2011 TMI) for men and for women are more accurate when approached using the Gompertz’s law than the Makeham’s law. The estimated for p x uses the Gompertz’s law are very close to the p x at the 2011 TMI (with Absolute Percentage Errors of less than 1%) at age intervals, for men: 0 – 10 years, 10 – 20 years, 20 – 30 years, and 60 – 70 years, and for women: 0 – 10 years, 10 – 20 years, and 70 – 80 years.
Modeling psychopathology: From data models to formal theories.

Over the past decade, there has been a surge of empirical research investigating mental disorders as complex systems. In this article, we investigate how to best make use of this growing body of empirical research and move the field toward its fundamental aims of explaining, predicting, and controlling psychopathology. We first review the contemporary philosophy of science literature on scientific theories and argue that fully achieving the aims of explanation, prediction, and control requires that we construct formal theories of mental disorders: theories expressed in the language of mathematics or a computational programming language. We then investigate three routes by which one can use empirical findings (i.e., data models) to construct formal theories: (a) using data models themselves as formal theories, (b) using data models to infer formal theories, and (c) comparing empirical data models to theory-implied data models in order to evaluate and refine an existing formal theory. We argue that the third approach is the most promising path forward. We conclude by introducing the abductive formal theory construction (AFTC) framework, informed by both our review of philosophy of science and our methodological investigation. We argue that this approach provides a clear and promising way forward for using empirical research to inform the generation, development, and testing of formal theories both in the domain of psychopathology and in the broader field of psychological science. (PsycInfo Database Record (c) 2021 APA, all rights reserved).
Matching of Weakly-Localized Features under Different Geometric Models

Matching corresponding local patches between images is a fundamental building block in many computer-vision algorithms, reducing the high-dimensional challenge of recovering geometric relations between images to a series of relatively simple and independent tasks. This approach is geometrically very flexible and has clear computational advantages over more convoluted global solutions. But it also has two major practical shortcomings: 1) Sparsity: the need to rely on high-quality repeatable features for matching drives current local methods to discard lowtextured image locations and leave them unanalysed; 2) Reliability: the limited spatial context in which those methods work often does not contain enough information for achieving reliable matches. In this work, we target a major blind spot of local feature matching: ill-textured locations. We observe that while classic methods avoided using poorly localized features (e.g. edges) as matching candidates, due to their low reliability, these features contain highly valuable information for image registration. We show how, given the appropriate geometric context, reliable matches can be produced from these features, contributing to a better coverage of the scene. We present a statistically attractive framework for encoding the uncertainty that stems from using weakly localized matches into a coupled geometric estimation and match extraction process. We examine the practical application of the proposed framework to the problems of guided matching and affine region expansion and show significant improvement over preceding methods.
A phylogenetically informed search for an alternative
 Macrostomum
 model species, with notes on taxonomy, mating behavior, karyology, and genome size

The free‐living flatworm Macrostomum lignano Ladurner, Schärer, Salvenmoser, Rieger 2005 (Rhabditophora, Macrostomorpha) has emerged as a model for a broad range of research topics (Ladurner, Schärer, Salvenmoser, & Rieger, 2005), including the biology of aging (Mouton, Grudniewska, Glazenburg, Guryev, & Berezikov, 2018; Mouton et al., 2009), bioadhesion (Lengerer, Hennebert, Flammang, Salvenmoser, & Ladurner, 2016; Lengerer et al., 2014; Wunderer et al., 2019), regeneration (Egger, Ladurner, Nimeth, Gschwentner, & Rieger, 2006; Lengerer et al., 2018), stem cell biology (Grudniewska Received: 27 March 2019 | Revised: 14 August 2019 | Accepted: 22 August 2019 DOI: 10.1111/jzs.12344