Miracle-dz/UniFAR-FTUs huggingface dataset:
Scalability and Privacy Preservation for Health System Using Data Anonymization

Data anonymization focuses on privacy protection. In this paper, we are discussing a health system which will hide the identities of the patients from other users and also it will give prediction for best doctors in the nearby locality based on ratings provided by the user. First we will take patients information and store it in a database. Then we will use AES encryption algorithm for privacy protection. When a new patient registers in our system and search for a doctor, our system will recommend best doctors in the nearby locality for the patient based on previous users rating. For this recommendation purpose we are using Apriori algorithm.
Current Situation and Future Opportunities of College English Education Based on MOOCs

After the year of 2012, MOOCs have flourished in China supported by advanced information technology. It fully realized the interaction between the teachers and students and the progress of the students' learning, which subverted the traditional teaching mode of the class-filling. This paper firstly summarized the platform of MOOCs, secondly analyzed the problems existing in college English education based on MOOCs, and finally put forward the threshold of reducing learning access, so that to increase the access channels of resources; the paper also put forward four suggestions: combining online and offline to increase the use of MOOCs; enhancing students' interest in autonomous learning to create a "student-centered" classroom, and innovating classroom teaching forms and learning evaluation criteria. This paper was of great significance to promote the development of college English education.
Self‐Compassion, Affect, and Body Image in College Women

The aim of this study was to understand the relationships between self-compassion, positive affect, negative affect, and variables representative of positive body image for college women. Regression analyses indicated that self-compassion and affect accounted for 39% and 30% of the variance, respectively, in body appreciation and body image quality of life. Mediational analyses demonstrated that positive affect mediated the relationships between self-compassion and both indicators of body image. Implications for college counseling are discussed.
Information and Communication Technology for the Rural Development in Nepal

The present article describes the significance of Information and Communication Technology (ICT) for the rural development. It is based on the perception survey about ICT, suggesting that ICT can be very beneficial and powerful tool for facilitating rural development, particularly in the sectors of e-commerce, e-health, e-government services and the most important e-education, training, information and expertise exchange, experience sharing, communication and society engagement. Overall, ICT is an effective tool for the different dimension of rural development.
GSML: An Interaction and Collaboration Oriented Programming Language for End Users

Along with the wide use in the scientific and industrial areas, Service Oriented Architecture has become the most active research direction of Grid technology. Traditional technologies overemphasize the ability of composition but ignore the need of collaboration. This article proposes the GSML and its related tool suite. GSML defines several concepts, enlightened by π calculus, to describe the interaction between user side components and grid resources, and then combine them into integrated one. The related tool suite includes a composer and a browser. The composer helps end users to organize the data flow and the control flow in a visualized way. The browser provides the runtime environment for the Grid application described by GSML. The Grid application is defined recursively, so different end users can include other’s applications in their own GSML browsers to implement collaboration.
Urban American Indian Adult Participation and Outcomes in Culturally Adapted and Mainstream Alcoholics Anonymous Meetings

ABSTRACT Very little is known about American Indian (AI) adults’ participation in Alcoholics Anonymous (AA) despite their elevated rates of negative sequelae due to heavy alcohol consumption and alcohol use disorders. This study sought to fill that gap and examined the engagement in AA by urban Southwest AI (S-AI) adult problem drinkers and whether enculturation and acculturation accounted for type of AA attended (mainstream vs. culturally adapted AA; CA-AA). Additionally, we compared 3- and 6-month drinking outcomes of urban S-AI adults by type of meeting attended. Sixty-one urban S-AI adults consented and were assessed at baseline, 3, and 6 months. We examined the association between frequency of AA attendance and differences between types of meetings attended regressed on the outcomes of proportion abstinent days and drinks per drinking day. Results indicate that AA attendance is the model approach and assists urban S-AI adults in reducing their drinking. Despite higher engagement among those attending AA and CA-AA, this did not translate into differential AA-related benefit which speaks to the need for additional research to assist AI adults in effectively reducing their alcohol use.
Review On An Approach To Infer User Search Goals

: There have been recent interests in studying the goal behind a user's Web query so that this goal can be used to improve the quality of a search engine's results. The inference and analysis of user search goals can be very useful in improving search engine relevance and user experience. In this paper, main focus is on the survey of infer user search goal approaches in previous study. Additionally this paper projected a framework to search various user search areas for a query by clustering the feedback sessions. Feedback sessions are constructed from user click-through logs and can efficiently reflect the information needs of users. Additionally, a novel technique is projected to generate pseudo-documents to better represent the feedback sessions for clustering.
THE EFFECTIVENESS OF ICT (INFORMATION AND COMMUNICATION TECHNOLOGY) IN THE IMPLEMENTATION OF SUGGESTOPEDIA METHOD IN IMPROVING SPEAKING SKILL OF THE FIFTH GRADE STUDENTS OF AL FIRDAUS ISLAMIC ELEMENTARY SCHOOL IN THE ACADEMIC YEAR 2011/2012

Speaking is one of the skills that has to be taught at school. Students are expected to be able to communicate, express their ideas and opinion in English well. Such expectation is faced by the students of the fifth grade students at Al Firdaus Islamic Elementary School Semarang. They are required to improve their speaking ability at school. Suggestopedia method is one of the suitable methods to improve the Elementary School student’s speaking ability because it provides the comfortable and fun learning atmosphere. The Information and Communication Technology (ICT) becomes the Al Firdaus Islamic Elementary School’s classroom learning characteristic, therefore the English lesson will also be able to take a benefit in taking such resources. This research itself is conducted in order to find out whether there is significant difference between Suggestopedia method with ICT and Suggestopedia method without ICT in improving speaking skill. This research was conducted in true experimental design by comparing the using of Suggestopedia method with ICT in experiment group in class 5B and Suggestopedia method only in control group in class 5A. The result of the study shows the difference result in speaking ability improvement of each class. Class 5A students made a progression in imitative speaking level by making 4.4 higher points, while students of class 5B made 16.5 higher points. At intensive and responsive level, the class 5A students made 3.2 higher points and 5B made 9.1 higher points. The using of Suggestopedia method with ICT brought significant difference in speaking skill improvement towards Class 5B students especially on pronunciation and comprehension aspect. However, they also made a better result on the other aspects such as vocabulary, grammar and fluency than the result of the class 5A students.
Using activity theory to understand the role of a simulation-based interactive learning environment in a computer networking course

The Cisco Networking Academy is a private-public partnership between Cisco and over 8,000 schools worldwide to teach approximately 700,000 students per year basic computer networking skills and to help address the Digital Divide. The program features instructor-facilitated courses integrated into standard educational programs. Cisco provides, free to all participating instructors and students, online curriculum and assessment, hands-on labs, and a simulation-based learning environment, Packet Tracer, which includes simulation, visualization, and assessment authoring features. In this qualitative study, activity theory is used as a lens to study the introduction of Packet Tracer into networking classrooms. In activity theory the simulator becomes a tool (mediating artifact) to make available malleable representations for student “subjects” to interact with networking model “objects”, hopefully enhancing learning. Two bodies of theory, namely conceptually enhanced simulations (stressing representational resources) and algorithm visualization (stressing the constructivist concern with learner control over representations), suggest positive ways simulations can impact learning. The affordances of Packet Tracer that demonstrate ways in which simulations can enhance learning are presented; some Packet Tracer design iterations are described. Results of a two-semester qualitative classroom study, including analysis of videotaped cases of student interactions with the Packet Tracer software, are presented: (a) two students engaged in discussion of a multiple-choice question using Packet Tracer as a mediating resource, exemplifying computer supported collaborative learning (CSCL); (b) a student going far beyond an assignment and using Packet Tracer’s microworld affordances to build an elaborate model network in a case of self-directed inquiry; (c) two students developing automaticity in planning, implementing, and troubleshooting their network model using Packet Tracer; and (d) a student taking advantage of the persistence of digital network representations and ubiquitous access. In each case, the availability of malleable representations and learner control over those representations in the simulation environment are most salient. Four tensions in the classroom activity system emerged when Packet Tracer was introduced: (a) learning Packet Tracer versus learning networking; (b) real equipment versus simulations; (c) student-directed versus teacher-directed learning; and (d) form of instructional guidance. The study concludes by describing the ongoing development of Packet Tracer.
The Ecb's Inflation Objective

The ECB's objective of medium-term inflation below 2 percent has been portrayed by critics as ambiguous, asymmetric, and excessively stringent. This paper attempts a comprehensive evaluation of the trade-offs for the euro area and finds that: (1) in terms of guiding inflation expectations and policymaking, the current definition has functioned much as would an inflation target centered on 1½-1¾ percent; (2) the absence of a specific (point) target for medium-term inflation has encumbered the communication of monetary policy; and (3) a target toward the upper end of the ECB's price-stability range would seem, at least with the current membership of EMU, to strike a judicious balance between the benefits of price stability, on the one hand, and the need to assist relative price and wage adjustment across EMU and safeguard against deflation, on the other hand.
Collaboration, Physical Proximity and Serendipitous Encounters: Avoiding collaboration in a collaborative building

Despite the adoption of collaborative buildings and office spaces to improve collaboration, the expected benefits of spatial interventions often fail to materialize. In a study of an ostensibly ‘collaborative building’, we identified strategies that employees use to avoid collaborating (i.e. ‘focusing on existing collaborations’, ‘reinforcing group boundaries’, ‘enacting legacy policies’ and ‘minimizing social interactions’). These strategies combined to minimize serendipitous encounters, which led to the avoidance of new collaborations. Our findings address a theoretical tension in the literature as to whether proximity facilitates or inhibits collaboration. We also show that, while it is often difficult to facilitate serendipitous encounters in an ostensibly collaborative building, serendipity nonetheless plays a central role in the development of new collaborative partnerships.
Natural Object Recognition Algorithm Based on SVM and Color/Texture Combination Features

Affected by many factors,outdoor scenes vary greatly,so using a single feature(color or texture)to complete the outdoor scenes recognition can not achieve satisfactory results.A natural object recognition algorithm based on SVM and color/texture combination features was presented.Firstly,the color histogram based on the RGB color space was extracted as color feature.Then,the texture feature was extracted based on multi-channel Gabor filters.At last,the color/texture combination features were presented.An image database of training samples including sky,road,house,tree and grass was created,which is obtained from Pasadena Houses2000 database of California Institute of Technology.And the natural object recognition based on SVM using a single feature and color/texture combination features was completed respectively.Experimental results show that this algorithm has good recognition effect on the images in which each natural object varies greatly from each other.
Intersectional boundary work in socializing new experts. The case of IPBES

ABSTRACT Expert organizations are often described as facilitators of the interactions between science and policy. In managing this boundary, they must also manage other boundaries, such as those between different knowledge systems and between different categories of actors. However, how this intersectional boundary work is performed, and what it implies, is still unexplored territory. Focusing on the Intergovernmental Science-Policy Platform for Biodiversity and Ecosystem Services (IPBES), this study contributes knowledge on the intersectionality of boundary work and how it influences the production of global policy-relevant knowledge. This is done by examining how IPBES socializes junior experts to become senior experts. This socialization process makes a number of norms and ideals visible and enables an analysis of how the know-how of boundary work is passed forward from one generation of experts to the next. The study analyzes three boundaries: between senior and junior experts, between science and policy, and between scientific knowledge and indigenous and local knowledge. The findings show how intersectional boundary work is crucial in the creation of expert organizations and policy-relevant knowledge. In the case of IPBES, this study shows how the institutionalization of the organization unintentionally has created restrictions for the boundary work between different knowledge systems.
Composite Attacks on Strong-Password Authentication Protocol

The strong-password based authentication mechanism is an important development direction of authentication.In this paper we examine OSPA(Optimal Strong-Password Authentication),a recent solution to authentication,and attack it using composite attack which is put forward firstly.The results of attacks demonstrate OSPA is vulnerable to stolen-verifier, man-in-middle, replay and denial of service attacks.
An Investigation on Non-Relevance Criteria for Image in Failed Image Search

ABSTRACT Relevance judgment is important in terms of improving the effec tiveness of information retrieval systems, and it has been dominant for users to search and use images uti lizing internet and digital technologies. However, in the field of image retrieval, there have been only a few studies in terms of identifying relevance criteria. The purpose of this study aims to identify and charac terize the non-relevance criteria from the failed image searches. In order to achieve the purpose of this study, a total of 135 participants were recruited and a total of 1,452 criteria items were collected for this stu dy. Analyses and identification on the data set found thirteen criteria such as ‘topicality’, ‘visual conte nt’, ‘accuracy’, ‘visual feature’, ‘completeness’, ‘appeal to user’, ‘focal point’, ‘bibliographic information’, ‘ impression’, ‘posture’, ‘face feature’, ‘novelty’, and ‘time frame’. Among these criteria, ‘visual content’ and ‘focal point’ were introduced in this current study, while ‘action’ criterion identified in previous studies was not shown in this current study. When image needs and image uses are analyzed with these criteria, there are distinctive differences depending on different image needs and uses. 키워드: 이미지검색, 검색실패, 적합성, 적합성 평가요소, 비적합성, 비적합성 평가요소Image Retrieval, Search Fail, Relevance, Relevance Criteria, No n-relevance, Non-relevance Criteria
The California Consumer Privacy Act (CCPA)

The California Consumer Privacy Act (CCPA), set to take effect in January 2020, establishes new consumer privacy rights and expands liability for consumer data breaches. Failure to comply for organizations that conduct business in California could lead to regulatory enforcement actions, legal action, and a loss of customer trust. With similarities to the European Union’s GDPR, CCPA is the strictest privacy legislation in the U.S. currently.
Explore the Malicious Facebook Applications

Applications that present suitable means for hackers to spread malicious content on Face book on the other hand, little is understood concerning features of malicious applications and how they function. In the recent times, hackers have considered popularity of the third-party application platform as well as deployment of malicious applications. Our aim is to build up a rigorous application evaluator of face book which is the first tool that is focused on detection of malicious applications on Face book. There are lots of malicious applications spreading on Face book each day. This is possibly initial comprehensive study that has focused on malicious Face book applications that focus on quantifying as well as understanding of malicious applications and make this information into an effectual detection method. For structuring of rigorous application evaluator of face book, we make use of data from a security application within Face book that examines profiles of Face book users. To build up rigorous application evaluator of face book we make use of information which is gathered by means of observation of posting behaviour of Face book apps which are seen across millions of face book users.
The Impact of Explicit Social Skills Instruction and Increased Play in a Kindergarten Special Education Classroom

3 Introduction . 4 Review of the Literature . 5 Methods . 15 Participants . 17 Data Collection.19 Results . 22 Data Analysis.22 Discussion.24 Summary of Major Findings.24 Limitation of the Study.25 Further Study.26 Conclusion.27 References . 28 Appendices.32 SOCIAL SKILLS AND PLAY IN SPECIAL EDUCATION 3 Abstract The purpose of this action research project is to determine the impact of explicit social skillsThe purpose of this action research project is to determine the impact of explicit social skills instruction and an increased amount of play in a kindergarten special education classroom. Data was collected to determine the effect that this intervention had on students’ behavior and academic progress. Data was collected through student referral data and Individualized Education Plan progress monitoring data. Analysis of the data collected suggested that this explicit social skills instruction and increase in play had a positive impact on student behavior in the school setting.
Entrenament en esports d’equip: l’entrenament estructurat al FCB

Although the sciences that study physical activity and sports are relatively young, they have evolved considerably in recent decades, and the methodologies that study sports training are no exception. In this context, it seems that most of the known methodologies, such as classical periodization, do not meet all the needs of team sports, which are characterised by competitions that go on for long periods of time which subject the players to extraordinary competitive stress. Structured training was devised with the aim of adapting to the specific needs of team sports based on specificity, individualisation, a global approach and differential learning, while respecting the different structures that comprise human athletes. This article explains the fundamentals and main characteristics of structured training using a holistic approach.
Plain Fingerprint Classification Based on a Core Stochastic Algorithm

We propose plain fingerprint classification based on a core stochastic algorithm that effectively uses a core stochastic model, acquiring more fingerprint minutiae and direction, in order to increase matching performance. The proposed core stochastic algorithm uses core presence/absence and contains a ridge direction and distribution map. Simulations show that the fingerprint classification accuracy is improved by more than 14%, on average, compared to other algorithms.
La triple restricción de los proyectos de inversión pública de la función ejecutiva. Un análisis a partir de la información disponible en el GPR para el periodo 2013-2017.

This paper analyzes the management of the investment projects included in the Annual Investment Plan of Ecuador, registered in the “Government for Results” tool, for the period 2013 – 2017. In addition, the document includes the project´s efficiency measurement, based on the evaluation of the performance of institutional performance of the central and institutional public administration and dependent on the Ecuadorian central government, regarding the use of resources for the generation of products (input-output ratio). It also aims to identify possible deviations in terms of three indicators called “the triple restriction” that measures physical progress, advancement in time and budget progress, in order to determine whether the projects were executed efficiently, both in time and in financial terms, all framed in management by results. The study concludes that the execution of investment projects in this period was relatively efficient in terms of input. The methodology of the triple restriction can be considered as an input for the aggregate analysis of projects.
EXAMINING THE EFFECTIVENESS OF FASHION MARKETING ON SOCIAL MEDIA: AN EXPERIMENT ON INFLUENCER’S REPUTATION, POST TYPE, AND ONLINE EWOM VALENCE

This paper investigates the three key determinants of digital marketing and consumer behaviour associated with fashion marketing on social media. The aim of the research is to explore the aspects of Instagram via the R.E. A.N. framework and the purchase intention in fashion consumption. The conceptual model & hypothesis were tested using structural equation modelling. A non-probability sampling with 280 millennials Instagram’s users participated. The empirical results indicate that the account reputation was found to be a significant predictor of REAN engagement. It also concluded that all engagement levels on REAN model have significant relationships toward customer buying intention among eight cases. This study proposes a new conceptual model which can be defined as a stepping stone or future research in the field of fashion. The model is validated in other social networking sites and industries. The findings provide valuable information that can be used in a social media marketing strategy in the contemporary business world.