Miracle-dz/UniFAR-FTUs huggingface dataset:
The star cluster population of M 51 - II. Age distribution and relations among the derived parameters

We use archival Hubble Space Telescope observations of broad-band images from the ultraviolet (F255W- filter) through the near infrared (NICMOS F160W-filter) to study the star cluster population of the interacting spiral galaxy M51. We obtain age, mass, extinction, and effective radius estimates for 1152 star clusters in a region of � 7.3 × 8.1 kpc centered on the nucleus and extending into the outer spiral arms. In this paper we present the data set and exploit it to determine the age distribution and relationships among the fundamental parameters (i.e. age, mass, effective radius). We show the critical dependence of the age distribution on the sample selection, and confirm that using a constant mass cut-off, above which the sample is complete for the entire age range of interest, is essential. In particular, in this sample we are complete only for masses above 5×10 4 M⊙ for the last 1 Gyr. Using this dataset we find: i) that the cluster formation rate seems to have had a large increase � 50-70 Myr ago, which is coincident with the suggested second passage of its companion, NGC 5195, ii) a large number of extremely young (< 10 Myr) star clusters, which we interpret as a population of unbound clusters of which a large majority will disrupt within the next �10 Myr, and iii) that the distribution of cluster sizes can be well approximated by a power-law with exponent, � = 2.2 ± 0.2, which is very similar to that of Galactic globular clusters, indicating that cluster disruption is largely independent of cluster radius. In addition, we have used this dataset to search for correlations among the derived parameters. In particular, we do not find any strong trends between the age and mass, mass and effective radius, nor between the galactocentric distance and effective radius. There is, however, a strong correlation between the age of a cluster and its extinction, with younger clusters being more heavily reddened than older clusters.
IDENTIFICATION OF MAIZE LODGING: A CASE STUDY USING A REMOTELY PILOTED AIRCRAFT SYSTEM

A common agricultural problem in many regions of Brazil is maize lodging, as a consequence of strong winds and rain which impacts on crop growth and yield. However, collecting data using ground-based, manual field measurement methods is inefficient. An emerging tool is the Remotely Piloted Aircraft System (RPAS), capable of delivering spatial data with high resolution and flexible periodicity. In this study, the potential to detect the maize lodging using crop surface models derived from RPAS was assessed. Our RPA-based approach uses a quantitative threshold to determine lodging percentage. The threshold values of plant height, used to detect the occurrence of lodging, were based on fixed and variable values. The validation of percentage lodging was performed using the RGB orthomosaic. The derived lodging estimates showed a very high correlation to the reference data. High correlations were observed for the fixed threshold at 60% (R2 = 0.93, RSME = 8.72%) and the variable thresholds, Jenks natural breaks and iso-clusters (R2 = 0.92, RSME = 8.89% and R2= 0.92, RSME = 9%, respectively). This study demonstrated the potential of the use of this technique, reducing the subjectivity of ground-based evaluation and the laborious traditional technique of lodging inference.
Incorporation of Mental Health Into Primary Health Care: Problems of Cross-Cultural Adaptation of Technology

In the Declaration of Alma-Ata [1], primary health care was defined as "essential health care based on practical, scientifically sound and socially acceptable methods and technology made universally accessible to individuals and families in the community through their full participation and at a cost that the community and country can afford to maintain at every stage of their development in the spirit of self-reliance and self-determination. It forms an integral part both of the country's health system, of which it is the central function and main focus, and of the overall social and economic development of the community. " At the same international conference at which this declaration was made, health was reaffirmed as "a state of physical, mental and social well-being" and was further described as "a fundamental human right. " Mental health was thus envisaged as an integral part of primary health care. This, however, implied utilizing the health care system as the major vehicle for catering to the people's mental health, and therefore adoption of the medical model as the basic model for mental health carethough it did permit social, educational, and other approaches insofar as they fit into the basic medical model. There seems to be a special reason for adopting the medical
H infinity Functional Calculus and Square Functions on Noncommutative Lp-spaces

In this work we investigate semigroups of operators acting on noncommutative $L^p$-spaces. We introduce noncommutative square functions and their connection to sectoriality, variants of Rademacher sectoriality, and $H^\infty$ functional calculus. We discuss several examples of noncommutative diffusion semigroups. This includes Schur multipliers, $q$-Ornstein-Uhlenbeck semigroups, and the noncommutative Poisson semigroup on free groups.
Cisco Science: Using Omics To Answer A Range Of Key Questions

Coregonines, including cisco (Coregonus artedi), kiyi (Coregonus kiyi), and bloater (Coregonus hoyi), are a focus for prey fish conservation and restoration efforts throughout the Laurentian Great Lakes. However, fundamental questions about coregonine ecology and genetics remain. For example, we know little about how the early life stages of coregonines respond to environmental change at either the genotypic or phenotypic level. We also have limited knowledge about how to identify different species at the larval stage and the genetic relationships among species, which makes the different species difficult to study at the larval stage. To increase the probability for success in restoration efforts, current and future research need to integrate traditional and novel approaches to better understand what leads to current and future coregonine successes. We used DNA and RNA omics tools, genomics and transcriptomics to boost our comprehension of current coregonine populations and to help understand how C. artedi may respond to environmental change. During the winter of 2017, we conducted a pilot experiment to evaluate how C. artedi eggs may respond to increased light exposure resulting from current and expected reductions in annual ice and snow cover due to global warming. We used transcriptomics to assess differences in gene expression between a continuous light and continuous dark treatment. Our results indicate that light is an environmental factor that could lead to earlier hatch dates, smaller yolk sacs, changes in mortality and differential gene expression in metabolic related and other functionally important genes. In 2018, we sampled larval coregonines in the Apostle Islands of Lake Superior each week from hatch in May until late July. We used genomic sequencing to genetically identify 197 larvae to species: C. artedi, C. hoyi, and C. kiyi. The larval demographic characteristics of each species was assessed and revealed that length ranges, growth rates, yolk sac condition, and effective population size varied among species. Larvae of all three species were found throughout the entirety of the Apostle Islands and the genetic diversity within each species appears high. The results from our pilot experiment and field observations help advance our understanding of the important early life stages of coregonines and how changes in light exposure or growth rates could affect their success or failure in a changing climate.
Rehabilitation : the use of theories and models in practice

Contributors Foreword Introduction Section 1 - Rehabilitation and the ICF 1. Rehabilitation at Macro and Micro Level 2. The International Classification of Function and Health Section 2 - Models and Theories 3. Models - Terminology and Usefulness Section 3 - Models in Practice 4. The Canadian Model of Occupational Performance 5. The Illness Constellation Model 6. From PLISSIT to ExPLISSIT 7. Health Promotion Models 8. The Kawa (River) Model: Client-Centred Rehabilitation in Cultural Context 9. The Way Forward Index
Effects of Shotokan Karate on resilience to bullying in adolescents

Bullying is characterized by power imbalances in relationships, which can lead to negative social consequences. Youth with higher levels of resilience are less likely to engage in aggressive behaviours or be victims of bullying. Karate, a martial art emphasizing respect, self-regulation and health promotion, may be an effective alternative to the anti-bullying failing approach of institutions. Therefore, the purpose of this randomized controlled study was to examine the effect of a 12-week karate based intervention on resilience. 50 students, aged 14-16 years, were randomly assigned to experimental group (n=25) that performed technical Shotokan karate practice, i.e. kihon, kata and kumite (60 min., once per week), or control group (n=25). At baseline and after intervention, the Child and Youth Resilience Measure (CYRM-28) assessed the individual capacities and resources, relationship with primary caregiver, contextual factors and total resilience. The intervention significant improved levels of the overall resilience and resilience sub-factors (p<0.05). The results suggest that psycho-social intervention based on Karate may improve the resilience and well-being of youth and make them less likely to engage in aggressive behaviour or be bullied. Thus, Karate should be considered an effective alternative to the anti-bullying failing approach of the institutions.
It’s Time To Become Brave - The Phenomenon of Social Brand Activism

Purpose - Since the phenomenon of social brand activism is an emerging concept in literature and considered as a differentiation strategy for corporate brands, the purpose of this study is to evaluate the impact of social brand activism on the different brand personality dimensions. In addition, the study aims to examine if a high brand-cause fit enhances the effectiveness of social brand activism. Methodology - To achieve the purpose of this paper, three suitable social brand activism advertisements around the sportswear industry were identified. Within the scope of an experimental research design, the effectiveness of social brand activism on brand personality dimensions was measured by conducting an online questionnaire. Through the survey, it was further tested whether the perceived brand-cause fit is able to act as a moderator. Findings - The results revealed that social brand activism has an impact on six of the seven tested brand personality dimensions. The authors contribute to the existing theory by verifying that social brand activism has a positive influence on brand personality. In terms of the brand- cause fit, results revealed that in some cases the brand-cause fit might act as moderator by influencing the effectiveness of social brand activism either positively or negatively whereas in other cases, it might not have a significant role in the interplay. These contradictory results are in line with the findings of previous studies. The paper further provides practical implications for managers and marketers aiming to enhance their corporate brand by implementing social brand activism advertisements. Originality - The paper contributes to a growing field of interest regarding social brand activism by providing a comprehensive framework illustrating the extent to which the dimensions of brand personality are influenced by social brand activism. Since no previous study on the influence of social brand activism has been carried out, it is the first of its kind.
Trapped in the Status Quo? Cognitive Misperceptions' Effects on Users' Resistance to Mandatory Usage

Owing to bounded rational decision-making, professional IS users often tend to resist new ISs by sticking with incumbent systems. Mainly due to misconceptualizations about the concept and methodological hurdles in isolating effects, to date, IS research has failed to provide empirical evidence of a fundamental tenet of the status quo bias (SQB): cognitive misperceptions. We address this gap, developing an experimental approach to show that cognitive misperceptions are a cause of user resistance. We find that a manipulated reference point leads to an SQB that ties users to their incumbent IS: A gain framing leads to a lower conversion propensity. The reverse is true for a loss framing. We contribute to the literature by providing empirical evidence of cognitive misperceptions leading to the SQB. For Managers of implementation projects, if the objective benefits of novel IS are hard to communicate, they should proactively address the SQB so as to forestall user resistance.
Personality testing in personnel selection: Love it? Leave it? Understand it!

The quality of selection procedures is judged primarily by looking at predictive validity results, as the prediction of performance at work is clearly the most important issue for the practice of personnel selection. Based on these results, researchers have made recommendations to improve methods such as the interview (Kepes, Banks, McDaniel, & Whetzel, 2012; McDaniel, Whetzel, Schmidt, & Maurer, 1994) or have contributed to the abandonment of methods with no predictive quality, such as graphology (Driver, Buckley, & Frink, 1996).
Stigma towards psychosis: Cross‐cultural differences in prejudice, stereotypes, and discrimination in White British and South Asians

Public stigma towards people with mental health problems has been demonstrated in Western societies. Little is known about non-Western cultures and whether cultures differ in their perceptions of people with mental health problems. Aim of this study was to examine cultural differences in prejudice, stereotypes and discrimination towards people with psychosis. Participants were young people from White British and South Asian backgrounds (N = 128, aged 16-20 years) recruited from two schools and colleges in the UK. They completed a cross-sectional survey on affective, cognitive and behavioral dimensions of stigma. Results revealed significant cultural differences on all three stigma dimensions. South Asians attributed higher anger (prejudice) and dangerousness (stereotypes) to people with psychosis than White British. They also reported lower willingness to help, greater avoidance and higher endorsement of segregation (discrimination). The effects of ethnic group on helping intentions, avoidance and segregation endorsement were mediated by anger and by dangerousness. Understanding cultural differences in stigma towards psychosis will be important for designing stigma interventions as well as treatments for people with different cultural backgrounds.
Using Microsoft HoloLens to improve memory recall in anatomy and physiology: A pilot study to examine the efficacy of using augmented reality in education

: This paper explores the use of augmented reality (AR) to improve memory recall and learning experiences in human anatomy and physiology. In particular, the opportunity to assess new computer technologies to improve learning environments may allow for an improvement in self-efficacy and a reduction in test anxiety. Twenty-two undergraduates participated in one of two study groups, the Microsoft HoloLens group (HLNS) or the traditional projector-based Microsoft Power Point group (PPT). Each group completed a five-minute, three-subject anatomy identification and brain physiology memory test. After a three-minute time delay, participants completed a fill-in-the-blank anatomy identification test and brain physiology question test, followed by questionnaires for systems self-efficacy and test anxiety. Results indicated the PPT group significantly outperformed the HLNS group in the brain lobe identification portion of the exam and had reported higher mean test anxiety scores (though not high enough to be considered unhealthy levels). However, the HLNS group showed a significantly higher preference to the learning experience compared to the PPT group based on the systems self-efficacy questionnaire. This pilot study demonstrates an opportunity for the HLNS to use used in learning environments to improve the psychological aspects of studying and test taking.
Guidance for Research on Social Isolation, Loneliness, and Participation Among Older People: Lessons From a Mixed Methods Study

This article provides methodological guidance to researchers wishing to develop collaborative research projects with local governments and other agencies, by describing the process adopted in a mixed methods study conducted in the City of Wanneroo (the City), a local government area in Perth, Western Australia. The study explored factors related to older people’s (60+ years) participation in community-based activities and links between their participation and levels of social isolation, loneliness, and social connectedness. The research incorporated four interrelated stages: (1) an audit of existing programs in the City and program participant characteristics; (2) focus groups with program participants and interviews with nonparticipants; (3) a cross-sectional survey to assess factors associated with participation and links to social isolation, loneliness, and social connectedness; (4) face-to-face interviews with survey respondents screened at risk for loneliness. Methodological recommendations are provided to guide future collaborative research with local authorities, program developers, and administrators, aimed at minimizing social isolation and loneliness among older people. These include the need for clear communication and documentation of mutually agreed research objectives and responsibilities from project initiation to completion, identifying and working with local agencies to maximize recruitment among “hard to reach” groups, understanding the dimensions of loneliness addressed in the selected instrument used to screen for loneliness, and integrating innovative data collection techniques when working with vulnerable groups such as socially isolated older people.
Profile of 3 years and 4 years vocational school Relationship with the preparation of graduates Building engineering expertise program

This study aims to determine differences (1) curriculum structure; (2) industrial work practices; (3) graduate work readiness; and (4) the absorption of graduates between 3-year Vocational Schools and 4-year Vocational School building engineering expertise programs. The research method used was descriptive research with ex post facto approach and survey. Data collection techniques in this study used documentation, interviews and online questionnaires. The results of this study are as follows: (1) the learning burden on 3-year Vocational High Schools is 5016 JP and 413 KD while the 4-year Vocational School is 6648 JP and 443 KD; (2) apprenticeship implemented at 3 Years Vocational School for 3 months and 4 Year Vocational School for 6-8 months; (3) 3-year SMK graduates 60% of whom are declared ready for work, while 4-year SMK graduates 71.80% of whom are declared more ready to work; and (4) 70% of 3-year vocational school graduates work in a field, while 92% of 4-year SMK graduates work in a field. This can explain that it will be more effective if the Vocational School is held with a 4-year SMK pattern.
Computational Communication Science: A Methodological Catalyzer for a Maturing Discipline

This article reviews the opportunities and challenges for computational research methods in the field of communication. Among the social sciences, communication stands out as a discipline with a relatively low-profile institutionalized focus on the in-house development of methods. Computational tools are changing this, and they are catalyzing a new set of methods directly suited to tackling foundational research questions in communication. We systematically review how computational methods affect the three fundamental pillars of the scientific method: observational approaches (i.e., digital trace data), theoretical
Fundamental physical and chemical concepts behind “drug-likeness” and “natural product-likeness”

Abstract The discovery of a drug is known to be quite cumbersome, both in terms of the microscopic fundamental research behind it and the industrial scale manufacturing process. A major concern in drug discovery is the acceleration of the process and cost reduction. The fact that clinical trials cannot be accelerated, therefore, emphasizes the need to accelerate the strategies for identifying lead compounds at an early stage. We, herein, focus on the definition of what would be regarded as a “drug-like” molecule and a “lead-like” one. In particular, “drug-likeness” is referred to as resemblance to existing drugs, whereas “lead-likeness” is characterized by the similarity with structural and physicochemical properties of a “lead”compound, i.e. a reference compound or a starting point for further drug development. It is now well known that a huge proportion of the drug discovery is inspired or derived from natural products (NPs), which have larger complexity as well as size when compared with synthetic compounds. Therefore, similar definitions of “drug-likeness” and “lead-likeness” cannot be applied for the NP-likeness. Rather, there is the dire need to define and explain NP-likeness in regard to chemical structure. An attempt has been made here to give an overview of the general concepts associated with NP discovery, and to provide the foundational basis for defining a molecule as a “drug”, a “lead” or a “natural compound. ”
Well Begun is Half Done: Using Online Orientation to Foster Online Students’ Academic Self-Efficacy

Past research suggests that the use of an online learning orientation is an effective proactive strategy to ease online students' transition into online learning. Based on a sample of 3888 online students from an urban public university, we used ordinal logistic regression to understand the influence of students' satisfaction with an online learning orientation (OLO), their prior level of online learning experience, and their demographics on their academic self-efficacy (ASE). Consistent with prior research, our findings confirmed the influence of students’ satisfaction with OLO, their prior online learning experience, and their gender on their ASE. In contrast, students’ age and enrollment status proved not to be significant. Overall, our findings provide strong evidence about how the use of an OLO as proactive support strategy can boost online students' academic self-efficacy.
Information Extraction from Electronic Medical Records Using Multitask Recurrent Neural Network with Contextual Word Embedding

Clinical named entity recognition is an essential task for humans to analyze large-scale electronic medical records efficiently. Traditional rule-based solutions need considerable human effort to build rules and dictionaries; machine learning-based solutions need laborious feature engineering. For the moment, deep learning solutions like Long Short-term Memory with Conditional Random Field (LSTM–CRF) achieved considerable performance in many datasets. In this paper, we developed a multitask attention-based bidirectional LSTM–CRF (Att-biLSTM–CRF) model with pretrained Embeddings from Language Models (ELMo) in order to achieve better performance. In the multitask system, an additional task named entity discovery was designed to enhance the model’s perception of unknown entities. Experiments were conducted on the 2010 Informatics for Integrating Biology & the Bedside/Veterans Affairs (I2B2/VA) dataset. Experimental results show that our model outperforms the state-of-the-art solution both on the single model and ensemble model. Our work proposes an approach to improve the recall in the clinical named entity recognition task based on the multitask mechanism.