Miracle-dz/UniFAR-FTUs huggingface dataset:
Common sense as extremism: the multi-semiotics of contemporary national socialism

ABSTRACT This paper explores how national socialist aesthetics and semiotics are regimented within the Swedish Nazi milieu today. In order to treat fascism as contemporary ideology, the article applies intertextuality and provenance as analytical concepts in the analysis of how Nazism is re-emerging discursively. The analysis contributes unique insights, as the dataset consists of extremist discourse aimed at providing members of the most prominent Swedish Nazi movement with guidance on how to embody and express national socialism in their everyday lives. The analysis reveals that common-sense notions about ‘a natural life’ and mainstream aesthetics concerning an outdoor lifestyle emerge as central expressions of a ‘natural’ and ‘healthy’ embodiment of national socialism. This aesthetic finds its ideological motive in opposition to a ‘sick’, ‘Jewish’ and ‘parasitical’ way of living. Mainstream notions are thus turned into vehicles for political extremism.
Social media usage and depressive symptoms among Icelandic adolescents : the effect of body image and gender

The most popular activity on the Internet among adolescents is social media and they spend a large proportion of their time on it. This extensive use has left parents and educators worried about the effects it has on adolescent’s development, and whether they should encourage or not. The current study examined the relationship between social media usage, body image and depressive symptoms among adolescent females and males in Iceland. Data in this study comes from Youth in Iceland 2016, a cross-sectional survey conducted by ICSRA. A random sample of 2,106 elementary students in the eighth, ninth and tenth grade was used, with 1,014 males and 1,067 females. Participant’s age ranged from 12 to 17 years. The results showed that social media usage and negative body image were associated with depressive symptoms, and social media usage was associated with negative body image. Indirect effect of social media usage on depressive symptoms through body image was significant, and the effect was stronger among females than males. The findings indicate that body image is a mediator in the relationship between social media usage and depressive symptoms among adolescents, especially among female adolescents.
Using feelings and emotions in the EFL classroom to improve writing skills through story writing workshops

This paper aims at analyzing the role that feelings and emotions play when they are utilized inside the EFL classroom with eighth grade students. They were encouraged to talk about their feelings and emotions through the development of ten workshops based on writing short stories from their own life experiences. The results showed that feelings and emotions are a part of students that cannot be ignored because they are a factor in the learning process. Self-directed learning and a positive classroom environment are also key factors that should be considered in addition to the students’ emotional side when learning English as a foreign language.
Metametaphysics New Essays On The Foundations Of Ontology

Thank you very much for reading metametaphysics new essays on the foundations of ontology. Maybe you have knowledge that, people have look hundreds times for their chosen readings like this metametaphysics new essays on the foundations of ontology, but end up in harmful downloads. Rather than reading a good book with a cup of coffee in the afternoon, instead they are facing with some harmful virus inside their desktop computer.
Writing Quality of Non-Native MA Thesis: Perceptions and Practices of Examiners and Students.

Amongst extensive research on thesis writing quality, few provide a detailed account of common writing challenges/errors as perceived by examiners vs. students. In this study, eight recent English theses marked-up by examiners and defended in Iranian universities were selected randomly among those thesis made available (n=45). Based on an appraisal of comments written by examiners, a set of common challenges were drawn, which was confirmed by observations made by the researcher in viva voce sessions and then inspired questions about thesis writing quality. When administered to twenty examiners and seventy students, the most recurring themes in their practice were confirmed. The results draw a more precise picture, than previously available, of what examiners actually expect of a thesis and found four major areas of challenges in thesis writing, classified under lack of clarity in explaining, thesis formatting, grammatical errors and organisational inconsistencies. Findings also discussed the most significant practices in writing each chapter and reveal differences in perceptions of students/ examiners.
Role of emotionally intelligent workers for organizational effectiveness

El proposito de este documento es describir como ha evolucionado la comprension de la inteligencia emocional desde las ultimas decadas y ver como la inteligencia emocional de un miembro de la organizacion puede mejorar la efectividad de la organizacion al abordar el modelo de Cherniss. Este articulo revisa la literatura historica sobre la inteligencia emocional y la relacion entre la inteligencia emocional y la efectividad organizacional. Los hallazgos indican que, como campo de estudio, la inteligencia emocional se desarrollo gradualmente. Su origen se remonta a la decada de 1920, hasta su conceptualizacion oficial en 1990. Aunque es un constructo relativamente nuevo, pero es una disciplina de gestion ampliamente reconocida ahora debido a su notable influencia en la efectividad de la organizacion. La actual era compleja de la globalizacion ha traido cambios dinamicos al funcionamiento de las organizaciones modernas. Las empresas ahora se enfocan en gran medida en lograr una ventaja competitiva al mejorar dramaticamente la efectividad organizacional general.
Analysis and Simulation in Electronic Circuit Based on Monte-Carlo Analysis

Statistic analysis of electronic circuit has a practical guidance significance on tolerance selection of electronic components, forecast of qualified products ratio and costs of production. Monte-Carlo analysis is one of the most usual statistical methods. The statistical parameters such as the expected value and the normal difference are gained through this method,the bar charts subsequently can forecast the ratio of qualified products in technical target. From these results, we can select the project of high reliability and low cost in order to optimize the design of circuit. The statistic analysis method and its application is illustrated through a filter case based on OrCAD/PSpice9 .
A Review on Image Segmentation Techniques for Future Research Study

— Evaluating the last work is an essential part of building evaluation strategies for the picture segmentation techniques. Actually Digital picture handling is a new topic in computer history that paper provides overview of electronic picture segmentation techniques. This study is helpful for deciding the right utilization of the picture segmentation strategies and for increasing their accuracy and efficiency and also for the main goal, which designing new algorithms.
Entrepreneurial passion and venture performance: a proposed framework

Purpose This paper aims to attempt to synthesize the evidence in literature on the link between passion and passion outcomes to propose a parsimonious framework of entrepreneurial passion and venture performance based on the theory of social cognition, identity and self-regulation. Design/methodology/approach A detailed review of empirical and conceptual articles related to the topic was the adopted methodology. An eclectic synthesis of the evidence guided the development of the framework as proposed. Findings Empirical review of the related studies reveals that the link between entrepreneurial passion and venture performance is distal. Based on the theoretical foundation of the study, entrepreneurial passion is proposed to have a direct link on venture performance and an indirect link mediated by goal-setting, entrepreneurial behavior and entrepreneurial self-efficacy. Control variables proposed include age, sex, size, work experience or tenure and self-regulation or feedback. Research limitations/implications Entrepreneurial passion is conceived as an experienced construct conceptualized as the interaction of intense positive feeling and identity centrality associated with venture outcomes defined as opportunity recognition, venture creation/growth and threshold performance. Practical implications The study provides a parsimonious framework of entrepreneurial passion and venture performance that includes goals, entrepreneurial behavior and self-efficacy as mediator variables and age, sex, size, work experience or tenure and self-regulation or feedback as control variables. Originality/value The framework extends the ontological field of entrepreneurial passion, which can be validated by empirical research.
Semantics-Based Malware Behavior Signature Extraction and Detection Method

This paper proposes a semantic-based approach to malware behavioral signature extraction and detection. This approach extracts critical malware behaviors as well as dependencies among these behaviors, integrating instruction-level taint analysis and behavior-level semantics analysis. Then, it acquires anti-interference malware behavior signatures using anti-obfuscation engine to identify semantic irrelevance and semantically equivalence. Further, a prototype system based on this signature extraction and detection approach is developed and evaluated by multiple malware samples. Experimental results have demonstrated that the malware signatures extracted show good ability to anti obfuscation and the detection based on theses signatures could recognize malware variants effectively.
How E-Security and E-Trust impact on E-Service quality in Online Shopping : A case of eBay United Kingdom

This research sought to explore the extent e-security and e-trust impact service quality on online buying among customers using a case of eBay e-retailing platform. This was necessitated by the worrying increase in online fraud coupled with personal data getting into wrong hands. Such developments have created anxiety among online shoppers negating the gains that could be made in adopting online facilities as marketing tool. The research was based on interpretive stance of the philosophical knowledge of inquiry adopting subjective approaches to gather data through group discussion and in-depth interview where a total sample of four(4) for the in-depth interview and six(6) for the focus group discussions. The frame was people between the age group of 20-35 living within Cardiff and have made purchases from eBay within a two month period. This research found insights which were far reaching, confirming that of e-service quality is dependent on e-security and e-trust, without which satisfaction will be void. The research also identified other e-service quality pre-requisite variables including; item origination, delivery of item, reviews on product and seller, return policy, item description, types of e-security and e-trust.
An Empirical Research of The Influencing Mechanisms of Research Performance on Scientific Research Social Network

The advent of scientific research social network creates a better environment for scientific communication. It may facilitate researchers to share their scientific knowledge, and then to improve their research performance, so we explore the influencing mechanisms between the degree of user activity on scientific research social network, knowledge sharing and research performance. Using questionnaire survey and Likert scale are the traditional methods, while we get 1133 valid user data from "ScholarMate" website with pursuit of more objectivity and authenticity. After conducting correlation analysis, regression analysis and Mediation effect testing, we get the following results: the degree of user activity on scientific research social network has significant positive effects on the quantity and quality of published papers; knowledge contribution and knowledge search also have significant positive effects on the quantity and quality of published papers; the effect of the degree of user activity on the quantity and quality of published papers are mediated by knowledge contribution .
The influence of Online Ratings on Film Choice: Decision Making and Perceived Risk

Online users’ empowerment is an undeniable fact that has brought significant changes to the world of information. Society is becoming increasingly reliant on the online contributions shared by the users of social platforms. This paper focuses on the information provided by peers in movie-based online communities, in the form of numbers (ratings). Given the wide and varied offerings of films, the huge amount of information about each film and the experiential nature of cinema, this study analyses the influence of ratings at the moment of film choice. To test the influence of ratings on a moviegoer’s choice, controlling as they do the subject’s susceptibility to interpersonal influence, we conducted an experiment. A three-way, between-groups design (without rating and film critics/with rating/with rating and film critics) in a decision-controlled setting considers making a decision about what film to watch. Results provide empirical evidence that the addition of ratings simplifies the decision making. Also, ratings exert a significant influence in reducing risk perceptions, either global risk or each specific dimension of risk considered in the study –temporal risk, financial risk, experiential risk. Finally, academic and managerial implications and future research are also discussed.
On the link between saccadic adaptation and visuospatial attention

Attention and Saccadic Adaptation (SA) are critical components of visual perception, the former enhancing sensory processing of selected objects, the latter maintaining the eye movements accuracy towards them. Also, a similar dichotomy could be applied to both: voluntary saccades and endogenous attentional shifts follow internal goals while reactive saccades and exogenous shifts are elicited by sudden changes in the environment. Further, their neural substrates partially overlap and they impact each other behaviorally. This PhD work investigates the hypothesis of a functional coupling linking attention and SA in healthy humans. Our experimental contributions all rely on the measurement of attentional performances before and after an exposure to SA (or control). In the first study, we recorded brain magnetic fields to investigate neurophysiological bases of the reactive/exogenous coupling. In the second study, we compared exogenous orienting measured in a Posner-like paradigm before and after reactive SA. Finally, using the same design, the third experiment investigated the voluntary/endogenous modality. We found that SA increased gamma band activity and boosted the orienting of spatial attention. We thus propose that this functional coupling relies on neuronal populations co-activated by both oculomotor plasticity and attention in the Posterior Parietal Cortex (PPC). The initial activation would emerge from a dual effect of the cerebellum inhibiting the left PPC and activating the right PPC. This effect would increase the right hemispheric dominance and the leftward attentional bias. This work opens new perspectives for the rehabilitation of visuoattentional deficits
SUBSCRIPTION OR SUBVERSION: GENDER REPRESENTATION IN PAKISTANI TELEVISION COMMERCIALS

Title: Subscription or Subversion: Gender Representation in Pakistani TV Commercials. The current interdisciplinary research falls into the domains of semiotics, linguistics and cultural studies. Television commercials, having the power to (re)frame the ideology of larger audience through its visual/linguistic content and agency to pave the way to social change have become one of the most viable social institutions of disseminating information to a wider audience. In any of its forms, media construct the image of men and women differently associating with them specific traits regarding their activities, roles and position. The commercials are considered persuasive and efficient modes of representation, having strong impact on the social perception of the viewers. The current study aims to investigate the representation of gender-binary relations in the Pakistani television commercials. The study also imbues the broader socio-cultural factors which help to identify the representational and positional value of men and women. The study analyzes whether gender representation in the Pakistani television commercials subscribes to or subverts the traditional gender narratives. The researcher finds a gap in the area of research, as most of the studies have been produced on gender equality and representation in the Euro-American sphere and a few in Pakistani context, but there is a wide scope of research on gender representation with semiotic perspective. The current study draws its theoretical foundation on the theory of semiotics propounded by Dyer (1982) in her book Advertising as Communication. Semiotics is conceived as an appropriate tool for the critical inquiry of the television commercials because of its widely ranging acceptability and reliability in the meaning making process as suggested by Williamson (1978), Dyer (1982) and Jhally (1990). The data for the current study comprises television commercials broadcast on famous Pakistani television channels. The sampling technique is based on non-probability purposive sampling with the rationale of choosing this technique to include only those commercials which largely reflect gender representation. The study finds that the commercials present layers of meanings via semiotic modes at symbolic level where men and women are displayed in stereotypical manner, subscribing to patriarchal structures. The study recommends the change in the content of the televised material and also highlights the unexplored avenues which can be brought under considerations by the future researchers.
Sparse Representation Based Face Recognition Algorithm

We analyzed the mathematic essence of sparse representation,sparse regularized signal decomposition.Stu-died a sparse representation algorithm of orthogonal matching pursuit.Using the matrix Cholesky decomposition,we rea-lized the OMP algorithm a fast version.We cast the recognition problem as one of classifying among multiple linear regression models and developed a new framework from sparse signal representation.We viewed a test sample as the linearcombination of training samples.We conducted experiments on face recognition to verify the efficacy of the proposed algorithm.
Hierarchically Structured Spatio-Temporal Traffic Measurement utilizing Compressive Sensing

The collection of traffic information at the short-term interval is required to perform the TE at the short-term interval. However, the collection of traffic information at the short term interval causes a large overhead; a large number of traffic information from a large number of nodes are sent to the control server periodically at the short interval. As a result, especially links near the control server may be congested. However, approaches against this problem have not been sufficiently discussed. In this thesis, we propose a method to collect traffic information without causing a large overhead to the network. In our method, the traffic monitor creates the traffic model for each flow to be monitored, and share it with the control server. Then, unless the model becomes no longer suitable to the current traffic, the traffic monitor sends only the information on the difference from the models, which we call the differential traffic information. If we can create the accurate traffic model, most of the elements in the differential traffic information are small. Thus, the traffic monitor compresses the differential traffic data by using the compressive sensing, which is a technique to compress the sparse data and recover it from the compressed data. We introduce a method to compress the differential traffic information along the route from traffic monitors to the controller by using the compressive sensing. In this method, we construct a tree whose root is the controller. The differential traffic information is sent along the tree from the leaves to the root. Each traffic monitor compresses the differential traffic information generated by it and those sent from its children into a few number of packets. Thus, this approach avoids the concentration of traffic information on the links near the controller. In this thesis, we evaluate our method by numerical simulation. The results demonstrate that we can reduce the amount of the information required to be collected by half without causing the errors larger than 1 [Mbps], if the number of flow entries which cannot be predicted accurately is smaller than a quarter of the number of the total entries.
Effect of Constraint and Supporting Features of Mobile Social Networking Games(SNGs) on User's Satisfaction

피쳐폰 시대부터 최근 소셜 네트워크 게임(SNG)의 광풍에 이르기까지 모바일 게임은 모바일 폰의 킬러 콘텐츠로써, 큰 시장 규모와 매출을 자랑하고 있다. 게임 분야의 연구 관점에서 보았을 때, 모바일 게임은 플레이 기기의 스펙부터 플레이 환경까지 사용자에게 제약이 많이 주어지므로, 사용자 만족도에 부정적일 것이라는 예측을 할 수 있다. 그러나 대다수의 모바일 게임 사용자는 게임 경험에 굉장히 만족하고 있다. 이에 따라, 제약이라는 개념에 주목하였다. 또한 제약과 지원이라는 개념을 동시에 독립 변수로 설정하고, 이러한 요인이 사용자의 몰입과 만족에 어떠한 영향을 미치는지 설문조사 방법론을 통해 검증하고자 하였 다. 분석 결과, 모바일 게임에서는 제약이 몰입에 긍정적인 영향을 미치는 것으로 나타났으며, 제약을 통해 불편함을 느끼는 것이 아니라 만족감을 얻을 수 있음을 확인하였다. 이를 통해 향후 모바일 게임의 UX 디자인 과정에서 해당 연구들의 결과를 활용할 수 있으리라 기대한다.
WHAT ARE YOU LOOKING AT? TESTING NANCY’S RULES FOR PEDESTRIAN INTERACTIONS

To establish optimal lighting for inter-personal evaluations between pedestrians it is desirable to know what visual cues are used. An experiment was conducted to test two proposals. One, the widely made assumption (in lighting research) that the face is an important cue. Two, the hierarchy of factors proposed by a lighting designer. This was investigated using category rating with a series of images containing actors embedded into an outdoor scene.
Action prediction of opponents in MMORPG using data stream mining approach with heuristic motions

Millions of people now participate in massively multiplayer online role playing games (MMORPGs), placing tremendous and often unpredictable maintenance burdens on their operators. Thus, understanding the dynamic nature of MMORPGs players is critical for the designers and implementers of the systems and networks that host MMORPGs. To the best of our knowledge, little work builds character interaction model based on the data stream mining. This work improves our understanding the behaviors of opponents of player in MMORPGs by collecting the behavior data, extracting frequent behavior patterns, learning the hidden hints and making good prediction on responses to the unexpected impacts. Besides, we develop two efficient approaches for mining the behavior data for find the interesting behavior pattern for future prediction on responses of opponents. Our novel findings include the following: One, due to the constraints of limited resources of time, memory, and sample size, MSS-MB was proposed to meet these conditions; the other, due to the constraints of real-time and on-line, there may have some errors occurred in the processing period, MSS-BE was proposed to control the errors as needed. Finally, based on the experimental results, we can efficiently and effectively predict the responses of opponents in the MMORPGs.