Miracle-dz/UniFAR-FTUs huggingface dataset:
Enhancing The Spam Detection Technique Using Naïve Bayes Classifier Algorithm

— Due to the rapid growth of digital data made available in recent years, knowledge discovery and data mining have attracted a great deal of attention with an imminent need for turning such data into useful information and knowledge. Many applications, such as market analysis and business management, can benefit by the use of the information and knowledge extracted from a large amount of data. The information and knowledge gained can be used for applications ranging from business management, production control, and market analysis, to engineering design and science exploration. Social networking is an emerging area for market purpose also. A large number of traffic is engaged in social media and gather around for particular discussions or reviews on a topic or a simple gadget. However spamming of comments are still under main problem which can affect the website's reputation as well as makes an ordinary user vulnerable to malware or spyware in their system. Numerous number of string search algorithms which are responsible for filtering out the spam comment are been studied and are needed to be improved. Various string search algorithms are K Means, KNN, AdaBoost Classifier, Decision stump, Decision tree, Genetic Algorithm, Naïve bayes, apriori algorithms etc. But the previous results were noticeable that the decision tree and naïve bayes algorithms performed little better as compared to another algorithms. Finally, best classifier for facebook spam comment is identified based on the Accuracy, Precision, F-Measure, Execution Time and Recall .
Long-term depression following stressful life events: feeling ‘worthless’ shows the slowest recovery

This paper uses a UK panel study dataset, to investigate effects of stressful ‘life events’ on mental health. Various events – including poverty, unemployment, and illness – increase the risk of depression. There may be delayed effects of a stressful event: many people experience a slow recovery from depression. This paper reports evidence that in ‘General Health Questionnaire’ GHQ-12, feeling ‘worthless’ shows the slowest recovery after a harmful event: up to about nine years. Evidence in this paper is reported as charts, showing gradual recovery from traumatic events; and regression analysis. These charts are broadly consistent with regression results. Keywords: Depression; life events; slow recovery; GHQ-12; worthlessness
Chronic life stress and change in stress response functioning in urban youth: The role of social support and gender

Salivary alpha-amylase (sAA) has been established as a bio-marker of stress reactivity in acute stressor tasks. Much less research exists exploring whether sAA is bio-marker for chronic stress exposure, and therefore, allostatic load. Extant research is inconsistent with some evidence to support chronic stress exposure having an impact on sAA reactivity and diurnal levels of sAA, while other studies have failed to support this theory. Social support is regarded as a protective factor against stress, mental health, and physical health consequences. It has been suggested that gender may play a role in the utilization and benefits of social support networks. The aim of this study was to add to existing research in finding support for sAA reactivity as a bio indicator of exposure to chronic stress in adolescents, and further ascertain whether social support, in the form of family cohesion, moderated those effects. Additionally, this study aimed to explore whether gender would further moderate the moderation of family cohesion on the relationship between chronic stress and sAA. A sample of 130 public school children in 6th to 12th grade participated in an acute stressor task, during which saliva samples were taken using the passive drool method. sAA was measured from the saliva samples for reactivity during the task. The participants completed the Family Relationship Scale (FRS) questionnaire to assess for family cohesion and participated in a semi-structure Life Stress Interview to be coded by reliable raters for chronic stress scores. The present study did not find significant results for chronic stress as a predictor of sAA reactivity. The role of family cohesion and gender as moderators could not be explored due to lack of a significant relationship between chronic stress and sAA.
The Impact of Higher Education Programs on Students’ Entrepreneurship Knowledge, Skills And Attitudes

This paper aims to explore and analyses the impact of higher education programs on students’ entrepreneurship knowledge, skills and attitudes in Palestine. It investigates the relationships between education and entrepreneurship using a case study research approach. Design/methodology/approach – During the academic year 2014-2015, a questionnaire survey was distributed to a sample of 380 final-year students and graduates of business, engineering and IT in Palestine. Furthermore a series of in-depth and semi-structured interviews was conducted with experts in order to capture the integral aspects of the phenomena under investigation (i.e. a more comprehensive understanding of the students’ adverse intentions towards entrepreneurship). Findings: The findings suggest that students’ entrepreneurial knowledge and skills in Palestine are moderate. University curriculum is weak in teaching students on identifying business opportunities, environmental analysis and innovation. Also weak in improving students skills in negotiations, taking a calculated risk, managerial skills in planning, organizing, leading and delegating, team work, monitoring and evaluation. In addition, a moderate level of motivations were found among students and graduates to launch their businesses. They were hardly received technical or managerial advices to establish or run their businesses.
Qualitative Research: Perceptions of the Developmental, Individual Differences, Relationship-Based (DIR) Model among Preschool Staff in a Public-School Setting

ABSTRACT The Developmental, Individual Differences, Relationship-Based (DIR) model, also known as DIR®/Floortime™, is a comprehensive approach for individuals with developmental disabilities and other disorders of relating and communicating, including autism spectrum disorder (ASD). Limited qualitative research exists regarding the use of the Developmental, Individual Differences, Relationship-Based (DIR) model in public preschools. The purpose of this qualitative research project is to increase understanding of the use of this model in preschool and early childhood settings through the perspective of those who utilize this approach. Method: Researchers recruited preschool staff from DIR classrooms to participate in a focus group. Participants included 5 special education teachers, 2 paraprofessionals, and 1 speech language pathologist; all were female. Results: Three themes emerged: participant insight, processes and procedures that enable successful use of the DIR model in a public preschool setting, and challenges with use of the DIR model in a public preschool setting. Conclusion: Findings from this study may be beneficial to new DIR preschool staff and administrators and may serve as a guide to other public preschool teams who are considering or have DIR-focused classrooms. Opportunities exist for occupational therapists to add distinct value to DIR preschool programs.
Predictive Estimation of the Optimal Signal Strength from Unmanned Aerial Vehicle over Internet of Things Using ANN.

This paper proposes an intelligent technique for maximizing the network connectivity and provisioning desired quality of service (QoS) of integration of internet of things (IoT) and unmanned aerial vehicle (UAV). Prediction of the signal strength and fading channel conditions enable adaptive data transmission which turn enhances the QoS for the end users/ devices with reducing the power consumption for data transmissions. UAV is data gathering robot from the difficult or impossible area for humans to reach. Hence, Atmospheric dynamics and environment influence the signal strength during traveling in space among UAV, IoT devices, and humankind. Therefore, Signal moving from the smart UAV is sensitive to the effects of attenuation, reflection, diffraction, scattering, and shadowing. We analysis the ability ANN to predictively estimate the signal strength and channel propagation from the drone and physical medium parameters, using ANN. Moreover, the results show that the distortion of the signal can be reduced and enhanced significantly.
Employee Acceptability of Wearable Mental Workload Monitoring in Industry 4.0: A Pilot Study on Motivational and Contextual Framing

As Industry 4.0 will greatly challenge employee mental workload (MWL), research on objective wearable MWL-monitoring is in high demand. However, numerous research lines validating such technology might become redundant when employees eventually object to its implementation. In a pilot study, we manipulated two ways in which employees might perceive MWL-monitoring initiatives. We found that framing the technology in terms of serving intrinsic goals (e.g., improving health) together with an autonomy-supportive context (e.g., allowing discussion) yields higher user acceptability when compared to framing in terms of extrinsic goals (e.g., increasing productivity) together with a controlling context (e.g., mandating use). User acceptability still panned out neutral in case of the former, however - feeding into our own and suggested future work.
Resistance to Change

remedy, institutional lag. While speed of travel and power of destruction are multiplied by factors of ten or a hundred, family life, schools, communities, and nations tend to operate in traditional ways. Resistance to change is not uniform. While electric lights, telephones, automobiles, and television had to overcome some fear and suspicion at first, they quickly &dquo;caught on. &dquo; New developments in the behavioral sciences, with implications for child care, schooling, business, race relations, and international affairs have been less welcome.
The Relationship between Teaching Skills, Academic Emotion, Academic Stress and Mindset in University Student Academic Achievement Prediction: A PLS-SEM Approach

This cross-sectional study conducted to develop a model for predicting academic achievement of university students by investigating the relationship between teaching skills, academic emotions (positive and negative), and academic stress associated with Mindset (growth and fixed) using structural equation modeling. The statistical population consisted of 360 students of the Islamic Azad University of Hamedan who were selected randomly using a relative stratified method. The study was descriptive and correlational. The data were analyzed by SPSS version 25 and SmartPLS version 3.2. 8. First, the validity of the model was estimated using Cronbach's alpha, composite reliability, convergent validity, and divergent validity; then, the coefficient of determination, effect size, and Stone-Geisser criterion were calculated for evaluating the structural model. The results showed that the validity and adequacy of the suggested model were suitable. Thus, it could be used in different situations by experts in related areas. The relationship between growth Mindset and academic achievement was significant; growth Mindset moderated the effect of negative emotion and stress on academic achievement the crucial role of professor skills in the academic achievement of students was confirmed directly or through its effect on positive emotion. The effect of teaching skills was not significant on the academic achievement of students with fixed Mindset, while the effect of academic stress confirmed on these students. Therefore, the identification of students with fixed Mindset and psychological interventions for these students can be useful in their academic achievement and their mental health.
An Effective Method for Acute Vagus Nerve Stimulation in Experimental Inflammation

Neural reflexes regulate inflammation and electrical activation of the vagus nerve reduces inflammation in models of inflammatory disease. These discoveries have generated an increasing interest in targeted neurostimulation as treatment for chronic inflammatory diseases. Data from the first clinical trials that use vagus nerve stimulation (VNS) in treatment of rheumatoid arthritis and Crohn’s disease suggest that there is a therapeutic potential of electrical VNS in diseases characterized by excessive inflammation. Accordingly, there is an interest to further explore the molecular mechanisms and therapeutic potential of electrical VNS in a range of experimental settings and available genetic mouse models of disease. Here, we describe a method for electrical VNS in experimental inflammation in mice.
The Proposed L-Scrumban Methodology to Improve the Efficiency of Agile Software Development

— Agile software development methodologies gaining the attention in the field of software engineering. There are several methods of agile such as Scrum, Lean, and Kanban. Scrum methodology divides the product into series of sprints. Lean is agile toolkit which has seven principles that facilitate: eliminating the wastes, delivering fast, and improving value for the final customer. Kanban is a visual method that can help in managing the production. To take the advantages of the following methodologies: Lean, Scrum, and Kanban we can integrate them together thus, the result will be a new methodology that can contribute in enhancing and improving the efficiency of the software development process, which is the aim of this thesis. An integrated methodology that integrating Scrum, Kanban, and Lean methodologies to yield a comprehensive agile methodology called L-ScrumBan has been proposed. The validation of the proposed methodology has been done through a survey by using a questionnaire; the survey results confirmed the efficiency of the proposed methodology.
List Ranking on PC Clusters

We present two algorithms for the List Ranking Problem in the Coarse Grained Multicomputer model (CGM for short): if $p$ is the number of processors and $n$ the size of the list, then we give a deterministic one that achieves $O(\log p \log^* p)$ communication rounds and $O(n \log^* p)$ for the required communication cost and total computation time; and a randomized one that requires $O(\log p)$ communication rounds and $O(n)$ for the required communication cost and total computation time. We report on experimental studies of these algorithms on a PC cluster interconnected by a Myrinet network. As far as we know, it is the first portable code on this problem that runs on a cluster. With these experimental studies, we study the validity of the chosen CGM-model, and also show the possible gains and limits of such algorithms for PC clusters.
Towards Indigenous Social Work practice: Addressing professional challenges in working with Homeless Greenlanders in Aalborg, Denmark

The article discusses the challenges within social work practices with the homeless Greenlandic population in Aalborg, Denmark, based on a case study at the Aalborg University. Interviews were conducted with social workers from service organizations across the Aalborg municipality. The findings are analyzed by drawing on a theoretical framework which addresses the role of social workers and social service institutions that support homeless Greenlanders to adjust to life in Denmark. Indigenous social work is presented as an alternative practice method to mitigate existing challenges within the field and to create culturally appropriate services. The findings revealed that cultural differences pose a fundamental challenge to the effective helping process of homeless Greenlanders in social work practices. Plausible recommendations for practice will be identified.
Biased interpretation of performance feedback: The role of CEO overconfidence

Research summary This study examines how managerial biases in the form of overconfidence change the interpretation of performance feedback and, consequently, shape a firm's risk taking in response to it. Our formal analysis suggests that CEO overconfidence is associated with a lower willingness to increase firm risk taking when facing negative performance feedback and a higher willingness to decrease risk when facing positive feedback. An extension of our model also shows that, when firms are operating close to their survival level, the effects of CEO overconfidence will reverse. We test our predictions empirically with a sample of 847 American manufacturing firms in the years 1992 to 2014. Our results are consistent with our hypotheses and are robust to different empirical operationalizations of CEO overconfidence. Managerial summary Managers evaluate the success of their current business strategy through feedback in the form of their firm's current financial results relative to their own previous performance or that of their peers. Our results show that overconfident CEOs interpret information about the financial situation of their firms more optimistically than non‐overconfident CEOs, which in turn causes them to exhibit a less pronounced reaction to both positive or negative performance feedback. It is thus crucial that managers are clearly aware of how their interpretations and reactions to feedback are affected by their own deeply held personal beliefs and dispositions.
Tomes/consume this! Engaging patron expertise through artists’ books

Abstract This article presents one way that librarians, archivists, and educators can create new knowledge by connecting communities with rare material culture. The authors share how they engaged critically reflective practices while gathering descriptions of rare Mexican artists' books at community-engaged outreach events. The books took on new meanings once they were removed from the context of the archives, and were centered within diverse communities. Participants interacted with the books in places where culinary bites and libations overlapped with the themes presented within the books. Polysensory, transcultural, tactile, embodied, visual, and gustatory literacies were observed as well as bilingual narratives of food, drink, memories, and personal recipes. The authors learned that bringing unique archival objects to communities made them more accessible both in and out of the archives. This project speaks to larger issues facing academic libraries and archives, such as engaging diverse audiences in inclusive programming, and building outreach into existing services, spaces, and collections.
Iwi community justice panels reduce harm from re-offending

ABSTRACT The effect of iwi community justice panels is assessed using data from seven years of implementation. Panel participants of 1013 are compared to a control group drawn from 73,000 offenders charged with similar offences and propensity-matched by age, gender, ethnicity, offending history and location. The dependent measure is re-harm from offending calculated using the NZ Crime Harm Index. Panel participants did not reduce their rate of offending compared to matched controls. However, there is a significant reduction in harm from post-panel offending, on average by 26.9 ± 21.05 equivalised prison days. The relative reduction is 22.25% of the harm committed by matched controls. Iwi panels are an effective alternative justice resolution. Panel participants are found to re-offend with minor offences and thus any focus on rates of offending would miss the complexity of the restorative justice process that reduces the harm of re-offending.
Efficient helicopter−satellite communication scheme based on check-hybrid LDPC coding

When implementing helicopter-satellite communications, periodical interruption of the received signal is a challenging problem because the communication antenna is intermittently blocked by the rotating blades of the helicopter. The helicopter-satellite channel model and the Forward Error Control (FEC) coding countermeasure are presented in this paper. On the basis of this model, Check-Hybrid (CH) Low-Density Parity-Check (LDPC) codes are designed to mitigate the periodical blockage over the helicopter-satellite channels. The CH-LDPC code is derived by replacing part of single parity-check code constraints in a Quasi-Cyclic LDPC (QC-LDPC) code by using more powerful linear block code constraints. In particular, a method of optimizing the CH-LDPC code ensemble by searching the best matching component code among a variety of linear block codes using extrinsic information transfer charts is proposed. Simulation results show that, the CH-LDPC coding scheme designed for the helicopter-satellite channels in this paper achieves more than 25% bandwidth efficiency improvement, compared with the FEC scheme that uses QC-LDPC codes.
Multi-Level Attribute-Based Encryption Access Control Scheme for Big Data

There are many security threats such as data’s confidentiality and privacy protection in the new application scenario of big data processing, and for the problems such as coarse granularity and low sharing capability existing in the current research on big data access control, a new model to support fine-grained access control and flexible attribute change is proposed. Based on CP-ABE method, a multi-level attributebased encryption scheme is designed to solve fine-grained access control problem. And to solve the problem of attribute revocation, the technique of re-encryption and version number tag is integrated into the scheme. The analysis shows that the proposed scheme can meet the security requirement of access control in big data processing environment, and has an advantage in computational overhead compared with the previous schemes.
Between Objectivity and Openness—The Mediality of Data for Journalism

A number of recent high profile news events have emphasised the importance of data as a journalistic resource. But with no definitive definition for what constitutes data in journalism, it is difficult to determine what the implications of collecting, analysing, and disseminating data are for journalism, particularly in terms of objectivity in journalism. Drawing selectively from theories of mediation and research in journalism studies we critically examine how data is incorporated into journalistic practice. In the first half of the paper, we argue that data's value for journalism is constructed through mediatic dimensions that unevenly evoke different socio-technical contexts including scientific research and computing. We develop three key dimensions related to data's mediality within journalism: the problem of scale, transparency work, and the provision of access to data as 'openness'. Having developed this first approach, we turn to a journalism studies perspective of journalism's longstanding "regime of objectivity", a regime that encompasses interacting news production practices, epistemological assumptions, and institutional arrangements, in order to consider how data is incorporated into journalism's own established procedures for producing objectivity. At first sight, working with data promises to challenge the regime, in part by taking a more conventionalist or interpretivist epistemological position with regard to the representation of truth. However, we argue that how journalists and other actors choose to work with data may in some ways deepen the regime's epistemological stance. We conclude by outlining a set of questions for future research into the relationship between data, objectivity and journalism.