Miracle-dz/UniFAR-FTUs huggingface dataset:
A Novel E-Commerce Recommendation System Model based on the Pattern Recognition and User Behavior Preference Analysis

This paper proposes the novel E-Commerce recommendation system model based on the pattern recognition and user behavior preference analysis. With the development of Internet and the generation of the huge amounts of data, information overload problem is increasingly serious, user drown in an ocean of data, it is difficult to effectively find themselves interested in the general information. Recommendation system technology was put forward and is widely used in this case, the recommendation system analysis of the user's past behavior records, while using the recommended algorithm automatically recommend users might be interested in the information to the general user. Standard utility of the log file format stored physical information about the client connection, if it can be some of the files stored in the mining analysis as can see the customer's behavior. From this starting point, we propose the new recommendation system architecture with the integration of pattern recognition algorithm that is innovative.
Exploring the Content of Suicidality among Military Personnel and Veterans

Abstract Previous research and theorizing have long sought to describe reliable typologies of suicide risk, particularly regarding soldier and veteran military samples. In the present study, we examined suicidal content from two samples of outpatient suicidal military personnel—one a sample of active-duty infantry soldiers (n = 89) and the other a sample of veterans (n = 62), using the first page of the Suicide Status Form (SSF; Jobes, 2016). Descriptive statistics examined both the qualitative and quantitative SSF-based responses between these cohorts. Preliminary findings showed different psychological content profiles between these samples: active-duty soldiers reported being more “self-focused” and “escape-oriented” in responses related to suicide, whereas veterans reported being more “other-focused” in responses related to suicide. This study suggests that despite similarities resulting from military experience, active-duty soldiers and veterans likely experience suicide risk differently. The main goal of this study was to differentiate clinically relevant suicidal responses on the exact same stimulus tool, which can be useful in generating hypotheses to be tested in future research about similarities and differences in suicide risk presentations between active-duty soldiers and veterans.
Working toward Equity: A Framework for Exploring Racial and Ethnic Diversity in Teacher Education Programs.

Tiffany J. LaCroix, M.Ed. Rachelle Kuehl, M.S. Virginia Polytechnic Institute and State University Abstract This paper provides a framework that identifies the understandings and skills preservice teachers need to teach in racially and ethnically diverse K–12 schools. This framework was developed from a literature review from which five key themes emerged: Awareness, Knowledge, Attitudes, Collaboration, and Experiences. Each aspect of the framework is detailed with “I Understand” and “I Can” statements for preservice teachers. Examples of key understandings include: the harm in purporting a colorblind ideology, the need to develop affirming views of all students, and the recognition of the school community as a source of strength. Examples of key skills include: the ability to participate respectfully and receptively in conversations surrounding race/ethnicity, the ability to create instructional experiences that emphasize critical thinking over summative assessment, and the ability to cultivate caring and inclusive classrooms. Ideas for activities consistent with the framework are incorporated.
Improvisation as a Training Method to Develop Effective Teams in the Workplace with a Focus on Promoting Confidence, Interpersonal Skills and Relationship Building

The purpose of this research is to determine the usefulness of improvisation training (improv) as a training method to develop effective teams in the workplace with a focus on promoting confidence, interpersonal skills and relationship building. Most adults spend the majority of their working life in the workplace and for most organisations employees are structured in teams across all levels of the organisation. As a result, the effectiveness of the team unit is critical to organisation success. Improv as an art form has grown in popularity over recent decades as a form of training in the workplace, with participants claiming benefits in areas such as innovation, risk taking, collaboration and team building. As popular as it has grown, research into its ffectiveness into the workplace has not grown at the same rate with much research focussed on areas such as innovation. Much of the existing research focuses on one organisation, whereas this study conducts research across a number of different organisations across different industries. With this research, the researcher is taking an in-depth study on three key soft skill components considered critical for an effective team; confidence, interpersonal skills and relationship building, and the impact improv training has on the development of these skills. The conclusion of the research not only found that improv training has benefit team effectiveness but also that participants considered it to be the most positive team development training or team building undertaken.
Handbook Of Practical Program Evaluation

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Newly Hired Teacher Mobility in Charter Schools and Traditional Public Schools: An Application of Segmented Labor Market Theory

Compared with traditional public schools (TPS), charter schools on average have much higher teacher turnover rates. Our study draws on segmented labor market theory to examine the dynamics of the teacher labor market in charters and TPS, focusing on newly hired teachers. Based on longitudinal data for Utah’s public school teachers, we employ multiple methods to determine how the timing of newly hired teachers’ decisions to transfer or exit can be attributed to the sector differences. Results indicate that newly hired teachers in charters are more likely to exit the teaching profession and less likely to transfer to another school than TPS teachers.
The Impact of a Brief Bullying Bystander Intervention on Depressive Symptoms

Researchers evaluated the impact of a brief, bystander bullying intervention (STAC) on depressive symptoms among high school students using a randomized controlled design. Results of path analyses provided support for a mediational model in which the intervention was associated with an increase in sense of school belonging, which in turn was associated with a reduction in depressive symptoms. We discuss implications for high school counselors and counselors in other settings working with adolescents
IMPUTASI MISSING ATTRIBUTE VALUES DATASET HEPATITIS BERDASARKAN ALGORITME RIPPER

Hepatitis is a liver disease which caused by a hepatitis virus. Nowdays hepatitis is a global health problems, including in Indonesia. Chronic hepatitis can lead to cirrhosis and liver cancer, therefore early diagnosis is needed. The diagnosis process of hepatitis disease are done through computer aided method using hepatitis dataset nowdays. University California Irvine (UCI) machine learning repository has been providing hepatitis disease dataset which can be accessed to public but the dataset contains many missing values. The existing of missing values in the dataset may affect the quality of the analysis results, therefore it needs to be conducted for handling the missing values. Imputation method based on machine learning is one of the methods to handle the missing value. The aims of this research is to develop the imputation methods of missing value using machine learning algorithm based on RIPPER on hepatitis dataset. Result shows that the imputation method based on RIPPER achives 87,50% accuracy for hepatitis dataset. It is expected that the developed method can contribute for helping the clinicans and practicians by providing imputed hepatitis dataset in diagnosing the hepatitis disease.
CHALLENGES OF USING LEARNING ANALYTICS TECHNIQUES TO SUPPORT MOBILE LEARNING

Evaluation of Mobile Learning remains an open research issue, especially as regards the activities that take place outside the classroom. In this context, Learning Analytics can provide answers, and offer the appropriate tools to enhance Mobile Learning experiences. In this poster we introduce a task-interaction framework, using learning analytics techniques to support educational decision making, that has been designed by extending the results of well-established studies in this field with the aim of dealing with the complexity of Mobile Learning.
Effects of Genre Tag Complexity on Popular Music Perception and Enjoyment

The popular online streaming platform Spotify added over 1400 genre tags in the last two years. Despite that numerous artists and composition competitions claim to seek projects that “transcend the traditional notion of genre,” the industry has only added more complex and mystifying genre labels. This dichotomy between artists and industry ignores the effects these labels have on consumers. Do more complex genre tags enhance the listening experience for the average consumer by providing additional information about what they are about to hear? The current research seeks to examine the effects of the granularity of genre tags on popular music perception by identifying whether more nuanced subgenre genre tags increase enjoyment and understanding of popular music excerpts. Participants heard four 20-second excerpts of popular music from four broad genre categories—including pop, country, rap/hip-hop, rock—as defined in Gjerdingen & Perrott, 2008 and Mace et al., 2011. Excerpts were presented simultaneously with two or three corresponding broad genre category tags or nuanced subgenre category tags in a randomized order. Participants used Likert-type scales to rate how well the genre tags matched the excerpt with which they were presented, how much they enjoyed the excerpt, and were asked to self-label each excerpt with a genre tag. Results showed that ratings were significantly higher for the broad genre categories than the subgenre categories for both enjoyment and matching, (F(1, 2109.67) = 19.07, p < . 001; F(1, 2109.38) = 56.47, p < . 001), respectively. Further, participants did not self-label any of the excerpts with genre categories that were not previously attached to the respective stimuli. These results have practical implications for how music producers market popular music since broad genre categories appear to be adequate for conveying expectations for popular music. ©2019 by Lauren Shepherd All Rights Reserved
Accelerating the Pace of Science: Improving Parenting Practices in Parents with Opioid Use Disorder

SYNOPSIS A public health emergency exists in the United States as a result of rising overdose deaths related to Opioid Use Disorder (OUD). With the rise of OUD has also come an increase in the number of children exposed to parents who suffer from an OUD. There is a pressing need for parenting interventions for individuals with OUD to provide safe environments for the children being reared in the face of this epidemic. Research on parenting with an OUD is sparse, but it is impractical to move linearly from basic research to program development and implementation given the urgent need for intervention - a trajectory that prior research has established takes approximately 17 years. We have created an outline of strategies that can be used to accelerate the pace of science so that parenting practices are more immediately improved for this population. First, we summarize what is already known about OUD and parenting to characterize mechanisms that existing interventions have targeted and optimal settings for the wide dissemination of implementable interventions. Next, we identify existing interventions that either specifically target parents with OUD or mechanisms specific to parents with OUD. We describe four different approaches for accelerating the pace of science to improve the lives of parents with OUD and their children. By doing so, we hope to provide a roadmap for future researchers and practitioners to deliver more timely evidence-based interventions to address the additional burden placed on families and communities due to the rise in OUD in the United States.
Validação de uma escala para avalição do comportamento alimentar de jovens univesitários saudáveis

portuguesEste trabalho descreve a adaptacao do “Three-Factor Eating Questionnaire” (TFEQ) (Stunkard & Messick, 1985) numa amostra constituida por 194 estudantes saudaveis da Universidade do Porto. A analise semântica e o estudo factorial dos itens permitiu definir tres factores (restricao, desinibicao e fome) em concordância com o trabalho desenvolvido na cons - trucao do TFEQ. Contudo, foi necessario proceder a eliminacao de varios itens da escala ori - ginal, de modo a assumir as dimensoes esperadas e saturacoes factoriais significativas. Os coeficientes de fiabilidade e o significado comportamental dos factores parecem satisfatorios de modo a permitirem utilizar esta versao do TFEQ em estudos portugueses de comportamen - to alimentar de jovens universitarios saudaveis EnglishThis paper presents a Portuguese adaptation of the “Three-Factor Eating Questionnaire” (Stunkard & Messick, 1985) in a sample of healthy university students (n= 194) from the University of Porto. Semantic and factorial analysis of the items allowed to define three factors (restraint, disinhibition, and hunger) in agreement with the scale background. However, it was necessary to eliminate several items from the original 51 items-version, to ensure the underlying dimensions and items significative loads. Reliability coefficients and behavioural meaning by factor seemed to be adequate in order to use this version of the “Three-Factor Eating Questionnaire” in eating behaviour studies of Portuguese university students.
Research on Optimization of Logistics Distribution Route Based on Improved Genetic Algorithm

According to the research and analysis of logistics vehicles distribution process,a mathematical model of logistics distribution route without time window is proposed.In allusion to the genetic algorithm's disadvantage of premature and easy to fall into a local optimum,a niche technology and other improved methods are introduced.The selecting process adopts optimal individual reservation and roulette to select individuals of next generation.The crossover process uses a niche selecting mechanism in the pairing selecting and the sub-route of optimal individual is reserved when crossovering.Mutate operator can improve the individual generation by generation.The variety and ability for global optimization of populations are advanced greatly.Finally,the algorithm is proved to be feasible,practical and effective by testing data.
Media Bias Towards African-americans Before and After the Charlottesville Rally

African-Americans are still experiencing racial discrimination rooted in structural bias in US American society. Research has shown that this behaviour can be reduced if individuals are made conscious of their bias, but little is known about these mechanisms on a societal level. Envisaging the white-supremacist Charlottesville rally in 2017 as an event that rendered American society conscious of its racism, we scrutinise whether racial bias in the digital media has changed, comparing levels of preand post-Charlottesville bias. We fit word embedding models to a broad sample of largely US media and quantify bias by calculating cosine similarities between terms for black or white actors and positive or negative character traits. We find no differences in positive character traits after Charlottesville. However, African-Americans are associated substantially less with negative character traits post-Charlottesville, while white actors are semantically closer to negative traits.
Speciesism, generalized prejudice, and perceptions of prejudiced others

Philosophers have argued there is a normative relationship between our attitudes towards animals (“speciesism”) and other prejudices, and psychological work suggests speciesism relies on similar psychological processes and motivations as those underlying other prejudices. But do laypeople perceive such a connection? We compared perceptions of a target who is high or low on speciesism with those of a target who is high or low on racism (Studies 1–2), sexism (Study 2), or homophobia (Study 3). We find that just like racists, sexists, and homophobes, speciesists were both evaluated more negatively and expected to hold more general prejudicial attitudes and ideologies (e.g., thought to be higher on SDO and more prejudiced in other ways). Our results suggest that laypeople seem intuitively aware of the connection between speciesism and “traditional” forms of prejudice, inferring similar personality traits and general prejudicial attitudes from a speciesist just as they do from a racist, sexist, or homophobe.
A win–win solution for the bullwhip problem

An important supply chain research problem is the bullwhip effect where demand variability increases as one moves up the supply chain. This distorted information may lead to inefficiencies. In this article we suggest a remedy to reduce the bullwhip effect. We focus on an inventory replenishment rule that reduces the variability of upstream orders and generates a smooth order pattern. However, dampening the order variability has a negative impact on customer service due to an increased inventory variance. We resolve this conflicting issue by taking the impact of the replenishment rule on lead times into account. A smooth order pattern generates shorter and less variable (production/replenishment) lead times, introducing a compensating effect on the inventory levels. We show that by including endogenous lead times in our analysis, the order pattern can be smoothed to a considerable extent without increasing stock levels, resulting in a win–win solution for both supply chain echelons. Finally we discuss several order smoothing approaches from an industrial perspective and comment on how our results may influence these cases.
Development of a School-Based Substance Treatment Model

Abstract The objective of this study was to develop a school-based substance treatment model and evaluate the feasibility and preliminary outcomes of treatment in a school-based setting to improve access to treatment for adolescents with substance use disorders. This study provided care to 41 youths (12 to 18 years old) in three school-based health clinics. The intervention consisted of 12 weeks of individual motivational interviewing, acceptance and commitment therapy, contingency management with urine drug screens, medication-assisted therapy, family sessions, and case management. Feasibility outcomes included the number of sessions attended, the Session Rating Scale, and qualitative feedback from patients (N = 41), therapists (N = 3), and a school principal. Preliminary treatment outcomes included the Timeline Followback Interview, a modified Outcome Rating Scale, and a questionnaire of school engagement. The average number of sessions completed was 7.4 (SD = 3.6), and the average Session Rating Scale score was 38.2 (0 = minimum alliance, 40 = maximum alliance). Qualitative interviews provided feedback to adapt the treatment model further. Youths reported significant pre-post improvements in emotional wellness, school engagement, and substance use. This study produced a school-based substance treatment model that is well-received by patients, demonstrated feasibility, showed positive preliminary outcomes, and is ready for further clinical testing.
Family contact in juvenile confinement facilities: Analysis of the likelihood of and barriers to contact

Abstract Although family relationships are important for incarcerated adolescents, little is known about barriers and facilitators of family contact. The present study used the Survey of Youth in Residential Placement (SYRP) to analyze frequency of, predictors of, and barriers to in-person contact and phone contact. Family travel time and race predicted type and frequency of contact. White youth were more likely to report multiple forms of contact and more frequent contact than other groups. Travel time to the facility also predicted financial barriers to contact. These results are discussed in light of the numerous family focused initiatives underway at juvenile facilities.
A Theoretical Framework of Procedures Contain Random Walk Methodology in Various Field of Data Mining and Distributed Computing

The concept of Random Walk begins from Social Science and enters into many fields of today like Computer Science, Financial Analysis, and Economics etc. Theory of Random walk is very flexible to understand but at the same time the ambiguity arises to use the same. This paper reflects the use of Random Walk concept in numerous field of Computer Science; it shows that how differently their concepts use in Sensor Network and in the field of Data mining. This paper mainly focused in Random Walk model in Graph based algorithm and shows how it has been used for improving result of previous algorithms and methods given for that particular technique. Mainly, concepts of Data mining which summarized in this paper are Outlier (Isolation Detection) and Clustering (Similarity Detection) which are more prominent research topic in this field. Also, the concept of Target set selection and mobile data gathering in large scale wireless sensor network. Numerous techniques have been developed to these both concepts but the purpose of this paper is to discuss and evaluate algorithms based on Random Walk for specified above methods and their comparison with previous techniques.
A tablet-based home practice program paired with telepractice promotes maintenance and learning of objects and actions in individuals with chronic aphasia

Q (1) Will individuals with chronic aphasia demonstrate less decline (over time) in naming accuracy of recently treated nouns and verbs by participating in an unsupervised home practice program with weekly telepractice? (2) Will individuals with chronic aphasia independently use the home practice program to improve naming accuracy on previously untreated pictures? (3) Which variables contribute to home practice program success in individuals with chronic aphasia?
The Discovery and Representation Methods of Expert Domain Knowledge Based On Knowledge Network

The paper is focused on the discovery and representation methods of expert domain knowledge based on knowledge network.Firstly the modeling method is discussed on the basis of knowledge relations,including the modeling methods of knowledge points and their inter-relations.Through the network analysis of the model,the Cliques and Sub-Cliques can be discovered,which can be used to discover Knowledge Cores and Sub-Cores through knowledge cohesion.Then the expert domain knowledge can be obtained and represented in structural domain knowledge network diagrams and knowledge(tables.) The methods are proved to be objective and precise,which is acknowledged in an application case.