Miracle-dz/UniFAR-FTUs huggingface dataset:
The Effect of the Number of Labeled Objects on Novel Referent Selection Across Short and Long Time Delays

ABSTRACT Children often hear many new words in one conversation, and yet word learning research overwhelmingly focuses on how children learn and retrieve the meanings of single words. The current experiment tests how the number of labeled objects affects preschoolers’ novel word referent selection immediately after encoding and after a one-week delay. Seventy 3- to 6-year-olds were exposed to four novel objects. Half of the participants were given novel labels for two of the objects and half were given novel labels for all four. Label-referent mapping was tested with a four alternative forced-choice pointing task both immediately after exposure and one week later. Children performed worse overall after a week delay, replicating past work on novel word retention. While children performed significantly worse overall in the Four-Label condition, exploratory analyses revealed that this effect was driven solely by the second test trial immediately after exposure. Analyses suggest that referent selection is strongly influenced by in-the-moment constraints, such as label salience and pragmatic biases, and that these constraints are strongest immediately after novel word exposure.
On estimating the hydrogen solubility in solid aluminium alloys and the hydrogen solubility difference between the liquidus and solidus temperatures

ABSTRACT The solubility of hydrogen in solid binary aluminium alloys has been investigated with data from the literature. As in liquid binary alloys, analysis has shown the effect of Cu, Mg, Si and Zn additions on normalised hydrogen solubility can be estimated by using exponential fits. The method developed previously to estimate hydrogen solubility in liquid commercial alloys has been extended to alloys in their solid state. Estimates for hydrogen solubility at the liquidus and solidus temperatures for five commercial alloys have been calculated. Estimates of the hydrogen solubility difference between liquid and solid alloys have shown that (i) the 206 alloy behaves exactly like pure aluminium (ii) 319 and A356 have much lower differences than pure aluminium, and (iii) hydrogen solubility at the solidus temperature is higher than at the liquidus temperature in alloy 380 and 383.
Contextual and task performance: role of employee engagement and organizational culture in hospitality industry

Purpose – Extensive work related to examining predictors and determinants of employee engagement and job performance have been conducted in past studies. A dearth of studies relating organizational culture and employee engagement with contextual and task performance in the hospitality industry necessitated the present study. This study aims to examine variability in the task and contextual performance owing to employee engagement and organizational culture. Design/methodology/approach – The study has been conducted in four districts of Himachal Pradesh using a multistage sampling technique. A total of 360 hotel employees were involved in collecting their responses through a structured questionnaire. Findings – The results of multiple regression showed that vigor, dedication and absorption variables of employee engagement contribute toward contextual performance. Vigor and absorption affect the task performance of employees. In the case of contextual performance vigor shows maximum contribution followed by absorption and dedication whereas for task performance, the maximum contribution is exhibited by absorption followed by vigor. Organizational culture sub-variables of experimentation, autonomy and trust came out to be major predictors, which help to improve contextual and task performance of employees. Practical implications – The study suggests that psychological ownership, along with trust toward top management can create an enriched work culture, which influenced both the contextual and task performance of employees. The findings of the study can be practically used by government and private organizations for improving workforce performance in the hospitality industry. Future research can be conducted based on the findings of the study. Originality/value – The study provides insight on how and to what extent cultural and employee engagement variables can affect employee’s contextual and task performance. The present study adds value to the existing literature and investigates the role of culture and employee engagement in enhancing task and contextual job performance. Managers and policymakers can use thefindings of the study to improve organizational culture, employee engagement andperformance of the employees in the hospitality sector. The study opens avenues for future studies.
Body-worn cameras ‘on the move’: exploring the contextual, technical and ethical challenges in policing practice

ABSTRACT The body-worn camera (BWC), an audio and video recording device, has been increasingly adopted by law enforcement across the globe. Drawing on a qualitative study, this paper will explore the use of these mobile devices in the UK and examine the challenges that have been faced during its implementation in two British police forces. In particular, we will discuss how these cameras move with the police officer’s bodily movements (both intentionally and unintentionally) and are used for policing purposes in different settings (such as urban and rural contexts or different operational units). Based on a set of semi-structured interviews with 26 police officers, this article will explore the contextual, technical and ethical challenges that hinder the use of BWCs in such settings. This study concludes that these practical and techno-social challenges are often interlinked. The context of use of these cameras and how they operate technically are connected, often raising significant ethical issues particularly for data management and storage. Ultimately it is argued that the operational perspective of the frontline officer is invaluable when designing and implementing technologies so they are policeman-proof.
UNDERSTANDING MENTAL HEALTH IN MALAYSIAN ELITE SPORTS: A QUALITATIVE APPROACH

The attention in the society and rapid expansion of interest on the status and challenges of mental health among sporting athletes, especially in the elite sports setting, had increased exponentially. The present study was aimed to explore and gain a better understanding of mental health and psychological well-being of Malaysian elite athletes. It also provides insights into a broader aspect based on participants’ personal experiences. A semi-structured interview was conducted for all 32 athletes (male, n=16; female, n=16) from a variety of sport: individual, team-sports; able-bodied, and Paralympic. Participants were aged between 19-38 years old (mean 25.69 years) from various ethnicity and religions. Six (6) themes (Personal understanding on mental health; Stigma of mental health; Symptoms, effects and sources of mental health; Coping strategies; Mental health and well-being support; Advice of athletes) and 19 subthemes were derived based on qualitative thematic analysis. Based on the analysis, subthemes, i.e. Presentation in mass media; Transition; Personal life-related issues; Performance expectation; Sporting environment are significant stressors causing mental health issues. The influence of spirituality and religion on the topic of mental health was also being highlighted. In conclusion, it is hopeful that the present study will stimulate interest and discussion in identifying methods and direction for both researchers and practitioners in bridging the theoretical-applied gap and offer effective supports to Malaysian athletes.
Suggestion of Building the AI Code of ETHICS through Deep Learning and Big Data Based AI

Purpose: Current social and technical issues related AI Ethics take many different forms. Therefore, efforts to make ethical guidelines to cope with these issues are actively being developed. However, most kinds of ethical guidelines present general ethical principles and take a deductive method of solving individual problems in accordance. The purpose of this study is to propose creating ethical guidelines through an inductive method of deriving ethical principles based on ethical judgements on each individual AI-related cases. Method: At first, most representative cases of AI ethics-related guidelines would be investigated in domestic and international level, with collecting documents and literature review. After that, examine the commonalities and differences between cases as these basic data through comparative research methods. Accordingly, it would be revealed that each case is constituted by a deductive method. Finally, as an alternative to these me-thods, presenting the merits of establishing ethical principles related to AI through inductive cases and specific examples. Results: Most of the representative AI Code of Ethics that currently exist have the form of suggesting principles and then solving ethical problems by applying the principles to the actual events accordingly. This type of approach corresponds to the method of ethics which based on moral principles. However, complex and unpredictable problems are likely to arise when it comes to AI ethics. In order to solve these problems, it is necessary to extract the principles of the AI Code of Ethics by establishing and presenting ethical principles through re-searching and analyzing various individual events related to AI Ethics using deep learning and Big Data Based AI. Conclusion: The following effects can be achieved by using deep learning techniques and Big Data Based AI that contains Ethical Issues together with sound and desirable Moral Judgement on each case, to derive the principles of the AI code of ethics. First, it is possible to extract and secure Big Data as basic resource of presenting Ethical Directions on various ethical problems arising in connection with the development of AI technology. Second, since the Ethical Principles as AI Code of Ethics are established based on empirical data, the validity of the principles can be secured. On the other hand, the AI Code of Ethics derived through deep learning based on such Big Data is likely to result in multiple tyranny or errors of majority due to certain limitations. So evaluation, verification and correction by Human Ethics Experts are essential to prevent these kinds of fault.
Introduction to special issue: clinical supervision in implementation science

ABSTRACT Implementation science is at the nexus of research and practice, and studies ways to promote the use of research findings in service settings. Clinical supervision has a rich theoretical literature for workplace support, and has also been used to ensure internal validity for “evidence based” interventions during efficacy trials. Calls to leverage supervision as an implementation strategy have prompted a focus on clinical supervision in implementation science. Articles included in this special issue address how supervision “typically” operates and how it might “optimally” promote implementation. A range of methodologies, client populations, settings, and mental health problem foci are included.
Identification of lipid accumulation product (LAP) as a marker of metabolic syndrome: a study in healthy population of MMU

Metabolic syndrome (MetS), is a collection of lipid and non-lipid cardiac related disease risk factors, is an important public health issue because of its higher prevalence with development of diabetes mellitus and cardiovascular diseases. Henry Kahn anticipated lipid accumulation product (LAP), as a novel marker of central lipid accumulation, to predict the risk of MetS. This study was conducted in Department of Biochemistry of MMIMSR, Ambala, Haryana. In the current study, we are researching over a new diagnostic tool for diagnosing MetS by LAP use. MetS is diagnosed by National Cholesterol Education Program Adults treatment panel III (NCEPATP III) and then compared with LAP to find its efficacy over other variables. 200 volunteers were enrolled in this study, their biochemical parameters were estimated and anthropometric measurements were taken. MetS was diagnosed in apparently healthy subjects. LAP was calculated by Henry Kahn formula and required statistical tools were applied to analyse results. The parameters of MetS positive cases were compared with LAP and its validity was tested statistically. 56 (28%) out of 200 subjects were positive for MetS. More females (30) than males (26) were diagnosed positive for MetS. LAP values were found to be higher in MetS cases, its efficacy was confirmed by ROC curves. MetS was diagnosed in volunteers who were considering themselves as healthy. Raised LAP and LAP2 were found, in MetS positive subjects than MetS negative. Relation of LAP and MetS came to be strong. Further, researches in this area are definitely recommended.
Quantitative Approaches for the Determination of Volatile Organic Compounds (VOC) and Its Performance Assessment in Terms of Solvent Types and the Related Matrix Effects

For the quantitative analysis of volatile organic compounds (VOC), the use of a proper solvent is crucial to reduce the chance of biased results or effect of interference either in direct analysis by a gas chromatograph (GC) or with thermal desorption analysis due to matrix effects, e.g., the existence of a broad solvent peak tailing that overlaps early eluters. In this work, the relative performance of different solvents has been evaluated using standards containing 19 VOCs in three different solvents (methanol, pentane, and hexane). Comparison of the response factor of the detected VOCs confirms their means for methanol and hexane higher than that of pentane by 84% and 27%, respectively. In light of the solvent vapor pressure at the initial GC column temperature (35°C), the enhanced sensitivity in methanol suggests the potential role of solvent vapor expansion in the hot injector (split ON) which leads to solvent trapping on the column. In contrast, if the recurrent relationships between homologues were evaluated using an effective carbon number (ECN) additivity approach, the comparability assessed in terms of percent difference improved on the order of methanol (26.5%), hexane (6.73%), and pentane (5.24%). As such, the relative performance of GC can be affected considerably in the direct injection-based analysis of VOC due to the selection of solvent.
Drying Kinetics of American Ginseng Slices in Thin-layer Air Impingement Dryer

Abstract Thin-layer air impingement drying kinetics of American ginseng slices were investigated under different drying temperatures (35, 40, 45, 50, 55, 60, and 65°C), air velocities (3, 6, 9, and 12 m/s), and sample thicknesses (1, 2, 3, and 4 mm). Results indicated that the drying time is more significantly affected by drying temperature followed by sample thickness and air velocity. Drying rate curves illustrated that the whole drying process happened in the falling rate period. Additionally, from initial drying to the moisture content of about 0.5 kg/kg, the drying rate increased with the increase of drying temperature and air velocity or decreased with the increase of sample thickness. The moisture effective diffusivity (Deff) was determined both neglecting shrinkage and considering shrinkage. The drying activation energy of American ginseng slices was 46.64 kJ/mol determined by Arrhenius relationship. The moisture effective diffusivity and drying activation energy of American ginseng slices were compared to other biomaterials and related issues were also discussed. The current work is useful for designing air impingement drying system, evaluating and saving energy consumption of American ginseng slices.
Exploring Multiple-Perpetrator Stalking: Victim Consequences of Solo and Multiple Stalkers

ABSTRACT Though stalking is often portrayed as a solo offender crime, victims can also be targeted by multiple stalkers working together or separately. This project uses data from the 2006 Stalking Victimization Supplement to explore the negative consequences and protective measures experienced by victims of solo stalkers, multiple stalkers working together, and multiple, independent stalkers. Results suggest the presence of multiple stalkers on its own does not aggravate the victim consequences, but having multiple stalkers working together increases the average number of negative outcomes experienced. These findings highlight the need for research in this area, as the presence of multiple stalkers jointly targeting a victim can heighten the negative effects of stalking.
Sensor Agnostic Semantic Segmentation of Structurally Diverse and Complex Forest Point Clouds Using Deep Learning

Forest inventories play an important role in enabling informed decisions to be made for the management and conservation of forest resources; however, the process of collecting inventory information is laborious. Despite advancements in mapping technologies allowing forests to be digitized in finer granularity than ever before, it is still common for forest measurements to be collected using simple tools such as calipers, measuring tapes, and hypsometers. Dense understory vegetation and complex forest structures can present substantial challenges to point cloud processing tools, often leading to erroneous measurements, and making them of less utility in complex forests. To address this challenge, this research demonstrates an effective deep learning approach for semantically segmenting high-resolution forest point clouds from multiple different sensing systems in diverse forest conditions. Seven diverse point cloud datasets were manually segmented to train and evaluate this model, resulting in per-class segmentation accuracies of Terrain: 95.92%, Vegetation: 96.02%, Coarse Woody Debris: 54.98%, and Stem: 96.09%. By exploiting the segmented point cloud, we also present a method of extracting a Digital Terrain Model (DTM) from such segmented point clouds. This approach was applied to a set of six point clouds that were made publicly available as part of a benchmarking study to evaluate the DTM performance. The mean DTM error was 0.04 m relative to the reference with 99.9% completeness. These approaches serve as useful steps toward a fully automated and reliable measurement extraction tool, agnostic to the sensing technology used or the complexity of the forest, provided that the point cloud has sufficient coverage and accuracy. Ongoing work will see these models incorporated into a fully automated forest measurement tool for the extraction of structural metrics for applications in forestry, conservation, and research.
Reading Persuasive Texts Affects Preservice Teachers’ Beliefs About Cultural Diversity in the Classroom

Research has suggested that teachers’ beliefs toward culturally diverse classrooms are affected during teacher education. Text reading, as one of the major learning activities in initial teacher education, is supposed to affect teachers’ educational concepts and beliefs. We conducted two experiments to test the impact of reading a positively or negatively oriented persuasive text about diversity on preservice teachers’ belief change. In Study 1 (N = 42), we found that belief change varied significantly as a function of the direction of the text condition, and that the reading of the texts led to a significantly stronger belief change if the text was in alignment with participants’ prior beliefs. Study 2 (N = 57) revealed a middle-sized but non-significant moderator effect for prior knowledge (p = .08, η p 2 = .06), suggesting that participants with more prior knowledge were less likely to be persuaded by the text. The results provide new insights into factors that may affect the development of preservice teachers’ diversity beliefs.
The Spatial Changes of Transportation Infrastructure and Its Threshold Effects on Urban Land Use Efficiency: Evidence from China

The development of social production and the agglomeration of the urban population have brought tremendous pressure to transportation infrastructure. However, the impacts of transportation development on urban land use systems have not been well investigated. Under the pressure of limited land resources, the impact of transportation infrastructure on urban land use efficiency (ULUE) is receiving increasing attention from scholars and needs to be explored. By collecting panel data from 30 regions in China from 2003 to 2018, in this study we constructed a spatial Durbin model and a panel threshold regression model to explore the spatial spillover effects and threshold effects of transportation infrastructure on ULUE. The most obvious findings emerging from this study are that (1) ULUE is not randomly distributed over different regions in China, but has an obvious positive spatial correlation; (2) transportation infrastructure has significant positive direct and spatial spillover effects on ULUE and the direct effects of transportation infrastructure (0.823) are significantly stronger than the spatial spillover effects (0.263); (3) the impact of transportation infrastructure on ULUE has a significant double threshold effect, and the threshold values are 4.520 and 6.429 respectively, and with the improvement of transportation infrastructure, its marginal effects on ULUE show a downward trend. This paper provides theoretical support for policymakers to achieve cross-regional cooperation on land use and transportation infrastructure construction and inspirations for sustainable development.
Examining the Link Between Character Strengths and Positive and Negative Mental Health Indicators in Iranian Adolescents

Character strengths are an important foundation for positive development and thriving in adolescence. Most research on character strengths has been conducted with youths in Western cultures. We examined character strengths in relation to positive and negative well-being indicators in a sample of Iranian youths. We investigated the reliability and validity of the Farsi version of the Values in Action Inventory of Strengths for Youth (VIA Y-96)—a self-report survey commonly used in Western contexts. Participants were adolescents in Iran (N = 1,359; 48.5% female; M age = 13.54, SD = 1.00) who completed the VIA Y-96 and questionnaires assessing life satisfaction, positive/negative experiences, depression, anxiety, and stress. We found that reliability coefficients were acceptable for most of the VIA subscales. A confirmatory factor analysis (CFA), as well as a second-order CFA, supported the construct validity of the Farsi VIA Y-96. Correlations between the character strengths and positive and negative well-being indicators supported convergent validity. Measurement invariance for the VIA Y-96 was established in this study comparing boys’ and girls’ response patterns. Sex and grade level differences were found for some of the subscales. Overall, the Farsi VIA Y-96 had acceptable psychometric properties, suggesting that it can be used in research on character strengths with Iranian youths.
How parties led by a woman redefine their positions: Empirical evidence for women's green, alternative and libertarian agenda

This article investigates how the sex of party heads impacts party positions and uncovers that parties led by a woman modify their stances on sociocultural but not economic debates. I argue that this pattern is a consequence of dissimilar gender gaps in policy preferences across the two ideological dimensions at the elite level. The empirical evidence, based on data for 19 developed democracies around the world between 1995 and 2018, reveals that parties led by a woman tend to emphasise green, alternative and libertarian issues. In particular, anti-growth, environmental protection and freedom and human rights become more prominent elements of party manifestos under women’s leadership. Overall, these findings stress the importance of critical actors and the conditions under which the presence of women in political offices translates into responsiveness towards female citizens.