Miracle-dz/UniFAR-FTUs huggingface dataset:
Patients’ experience of an ecological momentary intervention involving self-monitoring and personalized feedback for depression

Experts in clinical mental health research count on personalized approaches based on self-monitoring and selfmanagement to improve treatment efficacy in psychiatry. Among other things, researchers expect that Ecological Momentary Interventions (EMI) based on self-monitoring and personalized feedback will reduce depressive symptoms. Clinical trial findings have, however, been conflicting. A recent trial (ZELF-i) investigated whether depression treatment might be enhanced by an add-on EMI with self-monitoring items and feedback focused on positive affect and activities (Do-module) or on negative affect and thinking patterns (Think-module). There was no statistical evidence that this EMI impacted clinical or functional outcomes beyond the effects of regular care, regardless of module content. In apparent contrast, 86% of the participants who completed the intervention indicated they would recommend it to others. In the present study, we used in-depth interviews (n = 20) to better understand the EMI's personal and clinical benefits and downsides. A thematic analysis of the interviews generated six areas of impact with various subthemes. In line with the trial results, few participants reported behavioral changes or symptom improvement over time; the self-assessments mainly amplified momentary mood, in either direction. The most often mentioned benefits were an increase in self-awareness, insight, and self-management (e.g., a stronger sense of control over complaints). Consistently, these domains received the highest ratings in our evaluation questionnaire (n = 89). Furthermore, the EMI instilled a routine into the days of individuals without regular jobs or other activities. Participants reported few downsides. The experiences were rather similar between the two modules. This study suggests that EMI might contribute to health by helping individuals deal with their symptoms, rather than reducing them. Measures on self-awareness, insight, and selfmanagement should be more emphatically involved in future EMI research.
Symmetric response to competition in binary mixtures of cultivars associates with genetic gain in wheat yield

The evolution in the definition of crop yield—from the ratio of seed harvested to seed sown to the contemporary measure of mass of seed per unit land area―has favoured less competitive phenotypes. Here we use binary mixtures of cultivars spanning five decades of selection for yield and agronomic adaptation to ask three questions. First, what is the degree of symmetry in the response of yield to neighbour; this is, if an older, more competitive cultivar increases yield by 10% with a less competitive neighbour in comparison to pure stands, would the newer, less competitive cultivar reduce yield by 10% when grown with older neighbour. Lack of symmetry would indicate factors other than competitive ability underly yield improvement. Second, what are the yield components underlying competitive interactions. Third, to what extent are the responses to neighbour mediated by radiation, water and nitrogen. A focus on yield components and resources can help the interpretation of shifts in the crop phenotype in response to selection for yield. The rate of genetic gain in yield over five decades was 24 kg ha−1 year−1 or 0.61% year−1. A strongly symmetrical yield response to neighbour indicates that yield improvement closely associates with a reduction in competitive ability. Response to neighbour was larger for grain number and biomass than for grain weight and allocation of biomass to grain. Under our experimental conditions, competition for radiation was dominant compared to competition of water and nitrogen. High‐yielding phenotypes had lower competitive ability for radiation but compensated with higher radiation use efficiency, a measure of canopy photosynthetic efficiency. Genetic and agronomic manipulation of the crop phenotype to reduce competitive ability could further improve wheat yield to meet the challenge of global food security.
Two decades of friction stir processing–a review of advancements in composite fabrication

Abstract In comparison to the traditional reinforced composites, Friction stir processed composites have emerged to be more promising because of their better properties such as strength, hardness, ductility. To note that traditional methods have proved to interfere with the bulk properties of the material and have failed to align with the modern green globe standards and hence, Friction stir processing (FSP) has emerged in recent years for producing ex-situ and in-situ surface composites. With the increasing attention towards FSP, surface composites of alloys generated with titanium and steel are also being fabricated, which earlier was limited only to Aluminum and Magnesium alloys. Considering the growth of FSP in recent years, it appears as the appropriate time to review and enhance the quality for references and academia with the main impetus on lesser known and emerging technologies in the field. FSP is a relatively new production technique yet a lot of scholars have reported its use in the fabrication of the composites and on the optimization of its process parameters. On the contrary, the impact of FSP on various mechanical and micro-structural surface properties, highlighting the effect various process variables and the importance of tool wear are few other key points in the field which still need to be revisited. This review article attempts to fill those gaps and provide a comprehensive understanding of the technique with correlations leading to successful modeling and process optimization for defect-free and cost-effective composites.
Home office effects on the motivation of ICT companies' employees

Restricted measures for social isolation taken as precautions in the fight against pandemic due to the COVID-19 virus, have changed dramatically the normal business and professional life. Companies in all sectors have to be adaptive and flexible in order to survive in this complex and hardly unpredictable business environment. At first glance ICT sector is not so severely and visibly affected by the COVID-19 economic crisis. Due to numerous reasons companies from the sector have so far shown an enviable level of flexibility and adaptability to the rapid changes in business environment conditions. As a response to the anti-epidemiological requirements, most often used tool from ICT companies is to transform working processes from office to home, following the line of social isolation. In this regard the major objective of the current article is to reveal the specifics of home office work in ICT companies and its impact on the employees' motivation in terms of their perceptions and level of commitment to the achievement of companies goals. For this purpose we used questionnaire survey among employees working in different job positions in ICT companies in Bulgaria (n=158). Our findings reveal that majority of employees (almost 80% of responders) have positive attitude to the home office as a working measure in social isolation conditions. On the other hand, home office does not significantly impact on the level of employees' motivation and their engagement to the achievement of the company's goals. Based on analysis of collected data, we propose divers measures for improving the employees satisfaction and motivation in specific context of home office work during stress crisis situation, such the pandemic is.
From a Water-Immiscible Monomer to Block Copolymer Nano-Objects via a One-Pot RAFT Aqueous Dispersion Polymerization Formulation

We describe the facile atom-efficient synthesis of diblock copolymer nano-objects via a one-pot RAFT aqueous dispersion polymerization protocol starting from a water-immiscible methacrylic monomer. More specifically, an aqueous emulsion of glycidyl methacrylate (GlyMA) is quantitatively converted into a 10% w/w aqueous solution of glycerol monomethacrylate (GMA) at 80 °C in air within 9 h in deionized water. 1H NMR spectroscopy studies indicate no evidence for either methacrylic ester hydrolysis or polymerization during this ring-opening reaction. Kinetic analysis indicates that a significant rate acceleration occurs as the reaction mixture switches from a two-phase emulsion to a single aqueous phase. This observation is fully consistent with the GlyMA–GMA–water ternary phase diagram determined at 80 °C. The 10% w/w aqueous solution of GMA can be polymerized using RAFT chemistry to produce a near-monodisperse PGMA macromolecular chain-transfer agent (macro-CTA), which indicates that relatively little dime.
Effects of Atmospheric Circulation on Stream Chemistry in Forested Watersheds Across the Northeastern United States: Part 2. Interannual Weather Type Variability

Using synoptic classification techniques, synoptic‐scale weather types associated with large exports of dissolved organic carbon and nitrate‐nitrogen in three forested watersheds in the northeastern United States are analyzed. In contrast to Siegert et al. (2021, https://doi.org/10.1029/2020jd033413; Part 1), which details the general synoptic conditions associated with stream chemistry variations, this study focuses on the long‐term frequency, trends, and global‐scale forcing mechanisms of individual, chemistry‐relevant, synoptic types. Nine individual types are identified as the most important to stream chemistry exports in northeastern watersheds during a 2.5‐year period of high‐frequency stream chemistry observation (2014–2016). Streamflow chemistry was the most influenced by Northwest Flow synoptic weather types in Vermont, cold front passages associated with Weak Westerly Flow types in Rhode Island, and Southwest Flow (SWF) types in Maryland. Each type provides unique atmospheric conditions that result in variations in precipitation, and thus chemical signals. From 1948 to 2017, the Arctic and North Atlantic Oscillations greatly influenced the interannual frequency of the analyzed synoptic types. When the indices were positively phased, SWF types were more frequent, while Northwest Flow and Weak Westerly Flow types were less frequent. Long‐term trends in synoptic type frequency are, inpart, due to documented changes in these teleconnection indices toward more positively phased configurations. As the climate continues to change into the 21st century, such associations may continue to drive large changes in synoptic type frequency, and thus watershed hydrology and biogeochemistry in the Northeast region.
Influence of Cultural Background on Visitor Segments’ Tourist Destination Image: A Case Study of Barcelona and Chinese Tourists

Tourists from different cultural backgrounds have different perceptions of the image of a tourist destination. This paper aims to investigate tourist destination image (TDI) from a national cultural perspective and to see whether there exists the influence of culture on a visitor segment’s destination image as well as their travel behavior and satisfaction. Barcelona as the destination and the Chinese market are utilized to present an empirical discussion of the study. Based on the results of the qualitative method previously conducted by the authors, a questionnaire was designed in this paper. The SPSS 22 program was used for data management and analysis. This study first demonstrates that TDI perceived by the Chinese visitors is influenced by their pro-social cultural background and, second, that the visitors greatly value prestige and social networking during the visitation. This study further discusses the reasons why the visitors greatly value prestige and social networking and how “facework” influences their travel behavior based on the concept of culture value orientation. Overall, this study contributes to the existing knowledge on the formation of perception of TDI by analyzing the influence of the tourist cultural background on their TDI.
Modification of functional groups on ACF surface and its application to electric double layer capacitor electrode

In order to discuss quantitatively the effect of functional groups of activated carbon fibers (ACFs) on electric double layer characteristics, ACFs with various amounts of functional groups were prepared from the same ACF by redox methods. The amount of functional groups of ACFs was compared between the method by back titration and by X-ray photoelectron spectroscopy (XPS). In the case of the aqueous electrolyte, the electric capacity depended more on oxygen functional groups than on BET surface area. At the greatest 30% of increase in electric capacity was obtained by using ACFs with different amount of oxygen functional groups between the positive electrode and the negative one. It was considered that a larger number of functional group promotes not only the wettability of electrodes but also the negative charge of electrodes leading to an increase in capacity. On the other hand, in the case of the organic electrolyte, pore structure seemed to be a more dominant factor than functional group.Also, the characteristics of the electrodes after 30000 cycle charge-discharge were determined to confirm the reliability in an extended cycle operation. A significant increase in phenolic hydroxyl group was confirmed on the positive electrode.
Personal agency and organisational attachment: A career capital perspective

ABSTRACT Despite role transitions occurring frequently within organisations, career theories have often overlooked such transitions. Here we explore the role of personal agency and organisational attachment in shaping career capital enactment within intra-organisational role transitions. We propose a new career capital usage typology. Using an interpretivist approach, the research is based within a UK construction business and explores the role transition experiences of 36 business leaders. Through an analysis of workers’ career capital use we identify a new typology and groups workers as follows: Passive Worker, Company Worker, Political Worker and Career Worker. We argue that type varies in accordance with levels of personal agency and organisational attachment and that this variation in type is particularly important during intra-organisational role transitions.
Central Bank Policy and the Concentration of Risk: Empirical Estimates

Before the 2008 crisis, the cross-sectional skewness of banks’ leverage went up and macro risk concentrated in the balance sheets of large banks. Using a model of profit-maximizing banks with heterogeneous Value-at-Risk constraints, we extract the distribution of banks’ risk-taking parameters from balance sheet data. The time series of these estimates allow us to understand systemic risk and its concentration in the banking sector over time. Counterfactual exercises show that (1) monetary policymakers confront the trade-off between stimulating the economy and financial stability, and (2) macroprudential policies can be effective tools to increase financial stability.
Ethics of Reproductive Genetic Carrier Screening: From the Clinic to the Population

Abstract Reproductive genetic carrier screening (RCS) is increasingly being offered more widely, including to people with no family history or otherwise elevated chance of having a baby with a genetic condition. There are valid reasons to reject a prevention-focused public health ethics approach to such screening programs. Rejecting the prevention paradigm in this context has led to an emphasis on more individually-focused values of freedom of choice and fostering reproductive autonomy in RCS. We argue, however, that population-wide RCS has sufficient features in common with other public health screening programs that it becomes important also to attend to its public health implications. Not doing so constitutes a failure to address the social conditions that significantly affect people’s capacity to exercise their reproductive autonomy. We discuss how a public health ethics approach to RCS is broader in focus than prevention. We also show that additional values inherent to ethical public health—such as equity and solidarity—are essential to underpin and inform the aims and implementation of reproductive carrier screening programs.
Media Management During COVID-19: Behavior of Swedish Media Leaders in Times of Crisis

ABSTRACT In contrast to the majority of European countries, at the beginning of the COVID-19 pandemic, Swedish authorities did not put the country in lockdown, but mainly presented relatively mild recommendations to work from home and not gather in groups of over 50 persons. Thus, much of the decision-making and restrictions to prevent the spread of the virus had to occur at the organizational level, i.e., within companies. This paper reports the findings from an online survey carried out in June–September 2020 (n = 196), in which Swedish media managers were asked to focus on perceived media leadership during the COVID-19 crisis. The results indicate that Swedish media managers acted with confidence in their remote leadership and engaged in crisis management leader tasks in line with previous crisis management research. While managers learned to appreciate remote work, they stressed the difficulty of being an inspiring leader in a remote setting and the challenge of motivating creativity, one of the most important components in managing journalism and media work.
Design and Implementation of a Hydroponic Strawberry Monitoring and Harvesting Timing Information Supporting System Based on Nano AI-Cloud and IoT-Edge

The strawberry market in South Korea is actually the largest market among horticultural crops. Strawberry cultivation in South Korea changed from field cultivation to facility cultivation in order to increase production. However, the decrease in production manpower due to aging is increasing the demand for the automation of strawberry cultivation. Predicting the harvest of strawberries is an important research topic, as strawberry production requires the most manpower for harvest. In addition, the growing environment has a great influence on strawberry production as hydroponic cultivation of strawberries is increasing. In this paper, we design and implement an integrated system that monitors strawberry hydroponic environmental data and determines when to harvest with the concept of IoT-Edge-AI-Cloud. The proposed monitoring system collects, stores and visualizes strawberry growing environment data. The proposed harvest decision system classifies the strawberry maturity level in images using a deep learning algorithm. The monitoring and analysis results are visualized in an integrated interface, which provides a variety of basic data for strawberry cultivation. Even if the strawberry cultivation area increases, the proposed system can be easily expanded and flexibly based on a virtualized container with the concept of IoT-Edge-AI-Cloud. The monitoring system was verified by monitoring a hydroponic strawberry environment for 4 months. In addition, the harvest decision system was verified using strawberry pictures acquired from Smart Berry Farm.
Predicting ratings of perceived exertion in youth soccer using decision tree models

The purpose of this study was to determine the effectiveness of white-box decision tree models (DTM) for predicting the rating of perceived exertion (RPE). The second aim was to examine the relationship between RPE and external measures of intensity in youth soccer training at the group and individual level. Training load data from 18 youth soccer players were collected during an in-season competition period. A total of 804 training observations were undertaken, with a total of 43 ± 17 sessions per player (range 12–76). External measures of intensity were determined using a 10 Hz GPS and included total distance (TD, m/min), high-speed running distance (HSR, m/min), PlayerLoad (PL, n/min), impacts (n/min), distance in acceleration/deceleration (TD ACC/TD DEC, m/min) and the number of accelerations/decelerations (ACC/DEC, n/min). Data were analysed with decision tree models. Global and individualized models were constructed. Aggregated importance revealed HSR as the strongest predictor of RPE with relative importance of 0.61. HSR was the most important factor in predicting RPE for half of the players. The prediction error (root mean square error [RMSE] 0.755 ± 0.014) for the individualized models was lower compared to the population model (RMSE 1.621 ± 0.001). The findings demonstrate that individual models should be used for the assessment of players’ response to external load. Furthermore, the study demonstrates that DTM provide straightforward interpretation, with the possibility of visualization. This method can be used to prescribe daily training loads on the basis of predicted, desired player responses (exertion).
Prevalence of autism within medium secure units: a feasibility study

ABSTRACT Previous research has indicated that autism is over-represented among inpatients in forensic high secure hospitals in England. The aim of this study was to assess the feasibility of estimating the prevalence of autism without an intellectual disability in medium secure units (MSU). Male inpatients on three MSU wards were approached to participate in the study following ethical approval. Patients who met the inclusion criteria and consented were screened for autism using the AQ (Autism Quotient), and the EQ (Empathy Quotient). Out of a total of 46 patients on these wards, sixteen individuals were ineligible to participate. Of the remaining 30, 12 (40%) subsequently consented to participate. After ruling out an intellectual disability using the Schonell Graded Work Reading Test, these individuals were screened for autism using the AQ, and completed the EQ. None of those who participated scored above screening threshold for further diagnostic testing using the AQ. However, three inpatients (of the original 46 patients on these wards) were previously diagnosed with Asperger’s Syndrome suggesting a prevalence of 6.5% (95% CI 1.7-.18.9%). The results indicate that this group is over-represented within medium secure forensic psychiatric units and highlight the difficulties in undertaking research in this population.
Views of Social Studies Teachers on Scientific Research Methodology

Accepted: 08.03. 2021 Scientific method is one means by which knowledge is created. The goal of the social studies course is to teach the methodology used by these sciences in accessing the subject information along with the information they provide from social sciences. Therefore, social studies teachers should be aware of the scientific research methodology so that they can teach according to this purpose. In this study, the focus was on how teachers consider scientific research. This study aimed to investigate social studies teachers' views on scientific research methodology. It adopted phenomenology, one of the qualitative research designs. Maximum diversity sampling and criterion sampling were used to determine the study group. Data collection consisted of two stages. In the first stage, the Views about Scientific Inquiry Questionnaire (VASI) was applied. The second stage included a semi-structured interview form prepared by the researcher. Data were analysed via the descriptive analysis technique. The codes were classified under the headings in the VASI form. Findings showed that views of social studies teachers regarding scientific research methodology were mostly wrong and inadequate. Based on the findings, recommendations were made to social studies teachers, administrators, and the officials of the Council of Higher Education (CoHE). These suggestions were as follows: Teachers need to learn about scientific research methodology, school administrators should implement programs such as in-service training for teachers on a related subject, and CoHE officials should add more content about scientific research methodology to social studies teacher training programs.