Miracle-dz/UniFAR-FTUs huggingface dataset:
Forgiveness, gratitude, and the flourishing of emerging adults with divorced parents

Parental divorce affects the ability of individuals to flourish. This study aims to determine the relationship between forgiveness and gratitude and the flourishing of emerging adults whose parents have divorced. Voluntary convenience sampling was used to identify respondents (N = 429 emerging adults whose parents had been divorced for at least two years). Data were collected using the Emotional Forgiveness Scale, the Gratitude Questionnaire-Six Item Form, and the PERMA Profiler. Data analysis was performed using multiple regression analysis. The results show that forgiveness and gratitude were significantly associated with flourishing in emerging adults whose parents divorced (R2 = .382, F = 131.634, p .05). The contribution of gratitude (β = 1.299) to flourishing was greater than that of forgiveness (β = .722). Forgiveness and gratitude can predict flourishing in emerging adults whose parents are divorced, in this case, the role of gratitude is greater than forgiveness. Interventions that combine the basis of forgiveness and gratitude can be used to optimize the flourishing of such emerging adults whose parents are divorced.
Neuroscience Knowledge and Endorsement of Neuromyths among Educators: What Is the Scenario in Brazil?

The field of neuroscience has seen significant growth and interest in recent decades. While neuroscience knowledge can benefit laypeople as well as professionals in many different areas, it may be particularly relevant for educators. With the right information, educators can apply neuroscience-based teaching strategies as well as protect themselves and their students against pseudoscientific ideas and products based on them. Despite rapidly growing sources of available information and courses, studies show that educators in many countries have poor knowledge of brain science and tend to endorse education-related neuromyths. Poor English skills and fewer resources (personal, institutional and governmental) may be additional limitations in Latin America. In order to better understand the scenario in Latin America’s largest country, we created an anonymous online survey which was answered by 1634 individuals working in education from all five regions of Brazil. Respondents stated whether they agreed with each statement and reported their level of confidence for each answer. Significant differences in performance were observed across regions, between educators living in capital cities versus the outskirts, between those teaching in private versus public schools, and among educators teaching different levels (pre-school up to college/university). We also observed high endorsement of some key neuromyths, even among groups who performed better overall. To the best of our knowledge, this is the first study to conduct a detailed analysis of the profile of a large group of educators in Brazil. We discuss our findings in terms of efforts to better understand regional and global limitations and develop methods of addressing these most efficiently.
Pervasive Wireless Channel Modeling Theory and Applications to 6G GBSMs for All Frequency Bands and All Scenarios

In this paper, a pervasive wireless channel modeling theory is first proposed, which uses a unified channel modeling method and a unified equation of channel impulse response (CIR), and can integrate important channel characteristics at different frequency bands and scenarios. Then, we apply the proposed theory to a three dimensional (3D) space-time-frequency (STF) non-stationary geometry-based stochastic model (GBSM) for the sixth generation (6G) wireless communication systems. The proposed 6G pervasive channel model (6GPCM) can characterize statistical properties of channels at all frequency bands from sub-6 GHz to visible light communication (VLC) bands and all scenarios such as unmanned aerial vehicle (UAV), maritime, (ultra-)massive multiple-input multiple-output (MIMO), reconfigurable intelligent surface (RIS), and industry Internet of things (IIoT) scenarios. By adjusting channel model parameters, the 6GPCM can be reduced to various simplified channel models for specific frequency bands and scenarios. Also, it includes standard fifth generation (5G) channel models as special cases. In addition, key statistical properties of the proposed 6GPCM are derived, simulated, and verified by various channel measurement results, which clearly demonstrates its accuracy, pervasiveness, and applicability.
Self-Foldability of Rigid Origami

When actuating a rigid origami mechanism by applying moments at the crease lines, we often confront the bifurcation problem where it is not possible to predict the way the model will fold when it is in a flat state. In this paper, we develop a mathematical model of self-folding and propose the concept of self-foldability of rigid origami when a set of moments, which we call a driving force, are applied. In particular, we desire to design a driving force such that a given crease pattern can uniquely self-fold to a desired mode without getting caught in a bifurcation. We provide necessary conditions for selffoldability that serve as tools to analyze and design self-foldable crease patterns. Using these tools, we analyze the unique self-foldability of several fundamental patterns and demonstrate the usefulness of the proposed model for mechanical design. [DOI: 10.1115/1.4035558]
Extending Palliative Approaches to Care Beyond the Mainstream Health Care System: An Evaluation of a Small Mobile Palliative Care Team in Calgary, Alberta, Canada

Background: People experiencing houselessness (PH) endure worse health outcomes than their housed counterparts and often have inadequate care when nearing end of life. Innovative palliative care approaches are necessary when considering socially vulnerable populations. Aim: Evaluate the implementation and early outcomes of the Calgary Allied Mobile Palliative Program (CAMPP) after the first four years of servicing people experiencing extreme social marginality. Setting/Participants: Participants include CAMPP clients and service providers (SPs) who work adjacently to CAMPP in the social services/health sectors. Design: This is a mixed-methods evaluation, including an SP survey (n = 31); client interviews (n = 5); collection of program metrics; and case note reviews. Results: The CAMPP has served 128 clients to date. The CAMPP supported clients by connecting them to 62 services, programs, agencies, and/or resources totaling 485 connections. The most referred-to resource was for social support in the community for PH at 61 referrals. The second was for transportation with 57 referrals, followed by referrals to palliative and Home Care programs (n = 53 referrals). Another common referral was for food assistance with 30 referrals. The survey showed that 97% of SPs agreed that CAMPP is “an essential service in the area of palliative care. ” Twenty-six of 30 (87%) “Strongly Agreed” or “Agreed” that their knowledge in working with people with life-limiting illnesses has improved since working with CAMPP. The SPs suggested that the team should focus on referral clarity and improved communication with the wider health care team. Finally, clients reported high levels of satisfaction with CAMPP services. Clients also reported challenges navigating the complexity of care in the social/health services sector. Conclusions: The CAMPP bridges the gap in care between health/social services. The CAMPP connects clients to community resources and is effective in adapting to client needs. This evaluation provides four recommendations to improve and build on the existing program.
Development of an integrated computational tool for modelling structural frames in fire considering local effects

In terms of developing knowledge to enable more effective use of performance based engineering (PBE), one of the key limitations is the lack of an easy to use integrated computational tool that is also robust and comprehensive enough to enable automated modelling of more realistic fire scenarios, i.e., the structural response to localised or travelling fires. The main objective of this thesis is to establish such an integrated computational tool, which shall be based on the OpenSees software framework and facilitated by specially developed approaches to achieve higher efficiency of the integrated analysis. This includes the analysis of heat transfer from the fire to structural members, as well as the analysis of structural response to elevated temperatures during the fire. In this thesis, the research begins with the investigation of the feasibility of dimensional reduction for heat transfer analyses of structural members subjected to localised fire action (SFPE and Eurocode 1 fire models), which can be numerically represented by a linear or exponential correlation between incident heat flux and radial distance. Accurate estimates of the error induced by dimensional reduction are presented under strongly varying localised heat fluxes that represent the most non-uniform fire conditions in a building compartment. It is shown that beams and slabs can be adequately modelled with a lower
The Performance of Family Firms During Crisis Periods: The Case of Greece

This paper examines the effect of the family involvement in the performance of Greek listed companies, during the Greek financial crisis. The involvement of family in firm’s ownership, management and governance along with the firm’s age constitute the unified framework that describe the family influence on the enterprise. The main contribution of this paper is the investigation of a research period when Greece faced an unprecedented economic 9 year crisis that affected all sectors of the economy, with 72% of listed companies showing a decrease in revenue and the total capitalization of the Greek Stock Exchange shrinking by 70%. No previous study has incorporated performance data on listed companies during a corresponding financial crisis with large fluctuations in all performance indicators and a high volatility in the national economy. The sample of the research includes 80 family firms listed in the Greek Stock Exchange. The findings illustrate a better performance for family firms with lower family ownership and prove a stronger performance in younger family businesses. The results of the study do not confirm the positive involvement of family members, through management (CEO) and governance (BoD) positions in the family business performance.
Instrumented tools and algorithms for estimation of human joint mechanical impedance during tooling tasks

I n recent years, robots have been successfully applied to automate repetitive, structured and non-contact tasks such as painting and welding. However, when it comes to contact tasks such as fine finishing tasks, these still cannot be performed by robots and often require the intervention of skilled human operators. Control strategies currently adopted for industrial robots are based on position/force control and do not clearly capture the skills developed by experienced human operators. The main objective of this work is to develop tools and algorithms that capture human motor skills for the purpose of transfer to industrial robots. Human motor skills are here broadly intended as the coordination of multiple and redundant degrees of freedom (e.g. due to the kinematics of the human arm) and the regulation of forces and torques as well as the regulation of mechanical impedance (e.g. stiffness of the human arm). This study uses available kinematic/dynamic information and applies stiffness estimation methods to infer the (neuro-)mechanical impedance of the human arm/wrist during motion, in particular during an industrial tooling task. This approach to stiffness estimation is validated on an impedance-controlled robot. The stiffness values estimated for human subjects, at different force levels, correlated positively with the muscular activity. The novelty of our method is that the perturbations originate from the stochastic nature of the task itself rather than from a dedicated, external system as in all previous works.
Discrimination of L2 British English Monophthong Contrasts: The Case of L2 Thai Learners of English

This article reports on the second language (L2) perception of contrasts among British English monophthongs. This study has two aims: 1) to explore the discriminability of contrasts in L2 British English monophthongs; and 2) to test the perceptual assimilation model-L2 (PAM-L2) towards the ability to discriminate British English contrasts. The contrasts considered were: /iː/-/ɪ/, /æ/-/ʌ/, /ɜː/-/ʌ/, /uː/-/ʊ/, /e/-/æ/, /ʌ/-/ɒ/, /ʊ/-/ɔː/, /ɑː/-/ʌ/, /ɜː/-/ɔː/. Fifty-two native speakers of Thai who were learning English as a foreign language in Thailand participated in a forced-choice ABX discrimination task. The participants were divided between two groups – those high-experienced and those low-experienced. The results evidence how both groups performed well on most contrasts (over 80% correct), except for /ʌ/-/ɒ/. Although the discriminability of the contrast /ʌ/-/ɒ/ was lower than with the other contrasts, the discrimination scores among both groups remained in a middle range (over 70%). No effect of L2 experience was found, thus suggesting that the abilities of both groups did not differ. The PAM-L2 was accurate in predicting that neither group of L2 Thai learners would have difficulty in discriminating the considered L2 sound contrasts. These results imply that the results gained from a perceptual assimilation task are useful in predicting the discriminability of L2 sound contrasts, as suggested by the PAM-L2.
From past to present: Spam detection and identifying opinion leaders in social networks

On microblogging sites, which are gaining more and more users every day, a wide range of ideas are quickly emerging, spreading, and creating interactive environments. In some cases, in Turkey as well as in the rest of the world, it was noticed that events were published on microblogging sites before appearing in visual, audio and printed news sources. Thanks to the rapid flow of information in social networks, it can reach millions of people in seconds. In this context, social media can be seen as one of the most important sources of information affecting public opinion. Since the information in social networks became accessible, research started to be conducted using the information on the social networks. While the studies about spam detection and identification of opinion leaders gained popularity, surveys about these topics began to be published. This study also shows the importance of spam detection and identification of opinion leaders in social networks. It is seen that the data collected from social platforms, especially in recent years, has sourced many state-of-art applications. There are independent surveys that focus on filtering the spam content and detecting influencers on social networks. This survey analyzes both spam detection studies and opinion leader identification and categorizes these studies by their methodologies. As far as we know there is no survey that contains approaches for both spam detection and opinion leader identification in social networks. This survey contains an overview of the past and recent advances in both spam detection and opinion leader identification studies in social networks. Furthermore, readers of this survey have the opportunity of understanding general aspects of different studies about spam detection and opinion leader identification while observing key points and comparisons of these studies.
An Operational Approach to the Generalized Rencontres Polynomials

In this paper, we study the umbral operators J, M and N associated with the generalized rencontres polynomials D(m) n (x). We obtain their representations in terms of the differential operator Dx and the shift operator E. Then, by using these representations, we obtain some combinatorial and differential identities for the generalized rencontres polynomials. Finally, we extend these results to some related polynomials and, in particular, to the generalized permutation polynomials P(m)n (x) and the generalized arrangement polynomials A(m)n (x).
The flow dynamics behind a flexible finite cylinder as a flexible agitator

This paper investigates the flow dynamics behind a flexible finite cylinder in a single-phase flow using a water tunnel. The cylinder was individually submerged in water at ReD = 4000, 6000 and 8000. The cylinder investigated has a AR = 10 and 16 and is made of EVA in order to achieve the lower stiffness for flexibility. A same AR of its aluminium rigid cylinder was investigated to serve as a benchmark to the flow dynamics behind a flexible cylinder. The results the downwash that hinders the transportation of vortices to the downstream was diminished. As a direct consequence of this phenomenon, the turbulence production has seen significant improvement for flexible finite cylinder.
Nutritive values of selected forages for ruminants in Vietnam. Supplementation of varying level of cassava root meal and groundnut cake during growing phase, and its effect on performance of Laisind cattle in the finishing phase

The objective of the experiment was to investigate nutritive values and dry matter (DM) intake of some forages used for ruminants in the northern Vietnam. Twenty forages which included 15 fresh forages: natural grass, maize (Zea mays L.) stover, sweet potato (Ipomoea batatus) vine, Stylo grass (Stylosanthes guainensis CIAT 184), elephant grass (Pennisetum purpureum); 2 silages: maize (Zea mays L.) stover, and cassava (Manihot esculenta, Crantz) tops; and 3 dried forages: Bermuda (Cynodon dactylon) hay, natural grass hay, Guinea (Panicum maximum cv.TD58) hay were used in this study. Castrated rams of Phanrang breed (a local prolific sheep breed) with a live weight (LW) of 23-25 (±SD) kg were fed each forage ad libitum for 20 days, of which 10 days for data collection. The INRA system was used to calculated nutritive values of tested forages. The DM intake of fresh forages (except elephant grass) of natural grass and maize stover was highest (50.4 and 50.5 g/kg W; respectively), followed by stylo grass (40.2) and of sweet potato vine was lowest (35.4 g/kg W). The PDIN (protein truly digestible in the small intestine when nitrogen is the limiting factor) and PDIE (protein truly digestible in the small intestine when energy is the limiting factor) of natural grass, maize stover, sweet potato vine and stylo grass was 61, 71, 77 and 79 (PDIN), and 72, 80, 95 and 80g/kg DM (PDIE); respectively. The ME (metabolizable energy) and UFV (net energy value for meat production) values was 8.36, 8.90, 10.31 and 7.38 MJ/kg DM, and 0.61, 0.66, 0.85, and 0.49 per kg DM; respectively.
Burden of Antibiotic Resistance at Wolaita Sodo University Comprehensive Specialized Hospital

Background Antibiotic resistance is a serious threat to the human population everywhere. However, less attention is given to its concern in sub-Saharan Africa including Ethiopia. There is an information gap concerning antibiotic resistance and its pattern in Wolaita Sodo University Teaching Referral Hospital. This study is aimed at investigating the prevalence of antimicrobial resistance in the study area. Methods Five-year retrospective data of cultures and records of 581 patients were utilized to analyze the pattern of antibiotic resistance. The statistical software including SPSS version 25 and Microsoft excel 2013 were used. Laboratory records with incompletely registered age, sex, culture isolation, or drug susceptibility test data were excluded. Results Out of the total of 581 samples extracted from the microbiology laboratory, 237 (40.8%) samples were culture positive for bacteria. From positive culture growth, 165 (69.6%) were gram-positive bacteria whereas 72 (30.4%) were gram negative. Staphylococcus aureus was the most prevalent isolate among gram-positive isolates as Escherichia coli was for gram-negative isolates. Overall antibiotic resistance of gram-positive isolates was 57.2% whereas that of gram-negative bacteria was 58.8%. Conclusion S. aureus and E. coli were found to be the most prevalent pathogenic isolates among gram-positive and gram-negative bacteria, respectively. Most of the isolated pathogens showed high resistance towards the commonly prescribed antibiotic agents. The overall antibiotic resistance in this study was 57.7%, and the overall MDR prevalence was 72.2%.
SPATIOTEMPORAL GRAPH CONVOLUTIONAL NEURAL NETWORKS FOR METRO FLOW PREDICTION

Abstract. Forecasting urban metro flow accurately plays an important role for station management and passenger safety. Owing to the limitations of non-linearity and complexity of traffic flow data, traditional methods cannot satisfy the requirements of effectively capturing spatiotemporal dependencies at the metro network level, which makes it difficult to demonstrate high performance. In this paper, a novel deep learning method is proposed based on Graph Neural Networks (GNN), named STGCN-Metro (SpatioTemporal Graph Convolutional Network based on Metro network), to forecast the short-term inflow and outflow volumes of metro passengers. The proposed model is composed of two spatiotemporal convolutional blocks, which is integrated with the Dilated Convolutional Neural Network (DCNN) and Cluster-Graph Convolutional Network (Cluster-GCN). The DCNN is employed with different dilation rates to capture temporal dependence in larger receptive field. In addition, compare with GCN, the Cluster-GCN is applied the graph clustering algorithms to reduce computational resources considering spatial heterogeneity. A real-world dataset collected in Shanghai metro stations is conducted for validation, and the results demonstrate that the proposed model achieves higher performance, outperforming some well-known baseline models.
ALPINE: A Large Survey to Understand Teenage Galaxies

A multiwavelength study of galaxies is important to understand their formation and evolution. Only in the recent past, thanks to the Atacama Large (Sub) Millimeter Array (ALMA), were we able to study the far-infrared (IR) properties of galaxies at high redshifts. In this article, we summarize recent research highlights and their significance to our understanding of early galaxy evolution from the ALPINE survey, a large program with ALMA to observe the dust continuum and 158μm C+ emission of normal star-forming galaxies at z= 4–6. Combined with ancillary data at UV through near-IR wavelengths, ALPINE provides the currently largest multiwavelength sample of post-reionization galaxies and has advanced our understanding of (i) the demographics of C+ emission; (ii) the relation of star formation and C+ emission; (iii) the gas content; (iv) outflows and enrichment of the intergalactic medium; and (v) the kinematics, emergence of disks, and merger rates in galaxies at z>4. ALPINE builds the basis for more detailed measurements with the next generation of telescopes, and places itself as an important post-reionization baseline sample to allow a continuous study of galaxies over 13 billion years of cosmic time.
Base pay and bonus pay for high‐wage employees: A multi‐study approach to organizational performance

This paper studies how the compensation of high-wage workers is associated with organizational performance. Based on organizational justice arguments, cognitive evaluation theory (CET), and self-determination theory (SDT), we hypothesize that bonuses contingent on organizational performance tends to negatively impact the positive relationship between base pay and organizational performance. We use data from two distinct industry environments to show that the interaction between base pay and bonus pay is associated with reducing organizational performance for high-wage workers. More specifically, bonus pay relates to a decrease in the relationship between base pay and organizational performance.