Miracle-dz/UniFAR-FTUs huggingface dataset:
The Interaction of Arousal, Musical Context, and Task Difficulty on Recognition

The influence of music on learning has been a growing area of research in psychology. While some researchers have reported that music can impede learning, others have claimed that music can facilitate it. The present study looked at the interaction of musical context, valence, arousal, and task difficulty on recognition. During the study phase, participants were presented with a series of face-name pairings. In the subsequent test phase, they were asked to recognize if the pairings matched the ones they saw during the study phase. Results revealed a significant interaction between arousal, musical context, and task difficulty on recognition performance. On the easy task, recognition performance was better for high arousal music compared to low arousal music when music was played during study only and during test only. On the hard task, performance was better for high arousal music compared to low arousal when music was played during test only, but the effect was reversed when music was played during study only. When music was present during both study and test, arousal did not have an effect on recognition performance on the easy task or the hard task. The results suggest that, in different stages of learning and memory, arousal affects how well information is encoded and retrieved. AROUSAL, CONTEXT, AND TASK DIFFICULTY ON MEMORY 3
orogen along the India-Asia suture zone: Evidence for cyclicity in the Himalayan Late Eocene crustal thickening followed by Early-Late Oligocene extension

doi: 10.1130/GES00643.1 2011;7;1249-1268 Geosphere Ran Zhang, Michael A. Murphy, Thomas J. Lapen, Veronica Sanchez and Matthew Heizler orogen along the India-Asia suture zone: Evidence for cyclicity in the Himalayan Late Eocene crustal thickening followed by Early-Late Oligocene extension Email alerting services articles cite this article to receive free e-mail alerts when new www.gsapubs. org/cgi/alerts click Subscribe to subscribe to Geosphere www.gsapubs. org/subscriptions/ click Permission request to contact GSA http://www.geosociety. org/pubs/copyrt.htm#gsa click official positions of the Society. citizenship, gender, religion, or political viewpoint. Opinions presented in this publication do not reflect presentation of diverse opinions and positions by scientists worldwide, regardless of their race, includes a reference to the article's full citation. GSA provides this and other forums for the the abstracts only of their articles on their own or their organization's Web site providing the posting to further education and science. This file may not be posted to any Web site, but authors may post works and to make unlimited copies of items in GSA's journals for noncommercial use in classrooms requests to GSA, to use a single figure, a single table, and/or a brief paragraph of text in subsequent their employment. Individual scientists are hereby granted permission, without fees or further Copyright not claimed on content prepared wholly by U.S. government employees within scope of
Melting Pot of Origins: Compromising the Intermediary Web Services that Rehost Websites

—Intermediary web services such as web proxies, web translators, and web archives have become pervasive as a means to enhance the openness of the web. These services aim to remove the intrinsic obstacles to web access; i.e., access blocking, language barriers, and missing web pages. In this study, we refer to these services as web rehosting services and make the ﬁrst exploration of their security ﬂaws. The web rehosting services use a single domain name to rehost several websites that have distinct domain names; this characteristic makes web rehosting services intrinsically vulnerable to violating the same origin policy if not operated carefully. Based on the intrinsic vulnerability of web rehosting services, we demonstrate that an attacker can perform ﬁve different types of attacks that target users who make use of web rehosting services: persistent man-in-the-middle attack, abusing privileges to access various resources, stealing credentials, stealing browser history, and session hijacking/injection. Our extensive analysis of 21 popular web rehosting services, which have more than 200 million accesses per day, revealed that these attacks are feasible. In response to this observation, we provide effective countermeasures against each type of attack.
Parasocial Interaction between Youtube Beauty Vlogger and Millennial Consumers in Indonesia

Beauty vloggers are one of the parties that create video content on YouTube, which contains a huge amount of information about the world of beauty. Some beauty vloggers attract millennial-based viewers in very large numbers. The interaction between a beauty vlogger and his/her viewers is called parasocial interaction. This study aims to analyse the antecedents and consequences of parasocial interaction between a Youtube beauty vlogger and his/her viewers, i.e. millennial women. The analysis technique used in this study is Structural Equation Modeling using the SmartPLS software. The study was conducted on 181 female millennial respondents and the results show that the variables of social attractiveness, physical attractiveness, homophilicattitude, and expertise have a significant influence on the formation of a parasocial interaction between the beauty vlogger and the viewers. This study also finds that parasocial interaction has a significant influence on the willingness to share information, brand user image fit, and viewers purchase intention. The findings of this research is expected to contribute to the development of marketing management literature, especially marketing communications based on the use of social media. The findings of this study are expected to be utilised by cosmetics businesses which view female millennials as their target market.
Employee Competency Development and Organisational Resilience

The focus of this study was to determine the association between employee competency development and organisational resilience. Employee competency development was treated unidimensionally, while organisational resilience was measured using situation awareness, management of keystone vulnerabilities, adaptive capacity and resilience ethos. The study adopted an explanatory research design and used a questionnaire to collect primary data. Deposit money banks in Port Harcourt constituted the population of the study. Primary data collected from ninety-four (94) executives of twenty-two (22) deposit money banks, comprising of top and middle level managers were used in the final analyses of the study. The accidental sampling technique was employed to arrive at the test units. The study utilised the P(r) as the test statistic, relying on SPSS version 20.0. The study observed that employee competency development associates significantly with organisational resilience as the variable posted strong, positive and statistically significant relationship with all the measures of organisational resilience covered in the study. The study concludes that employee competency development influences organisational resilience; and that organisational resilience in terms of situation awareness, management of keystone vulnerabilities, adaptive capacity and resilience ethos depends on employee competency development and recommends that organisations (especially deposit money banks) that desire resilience that enhances sustainable growth should develop the competencies of their employees.
The Effect of Oil Price Volatility, Board of Directors Characteristics on Firm Performance of Iraq Listed Companies: A Conceptual Framework

Economies all over the world need the effective and efficient performance of business units both financial and non-financial firms because they are the engine of economic development of nations. Furthermore, many companies around the world try to improve their performance for the purpose of getting fund from investors in order to expand and to grow. On the other hand, investors need to have confidence that the company is being well managed and will continue to be profitable investments. The poor performance of listed firms around the world has been attributed to ineffective Corporate Governance (CG). Additionally, the performance of Iraq listed firms is discouraging given the declining nature of its price index performance from 2011 to 2015. Besides, the Iraq’s economy is a strong member of OPEC which is an association major oil exporting countries which are oil dependent economies. The adverse effect of oil price volatility can have negative consequences on the Iraqi firms’ performance in spite of strong board’s characteristics while a favorable oil price changes can have the reverse effect. Therefore, the effect of board of directors’ structure on firm performance is among the CG primary mechanism which drawn the attention of many researchers. Despite these, researches have given little attention to the joint effect of oil price volatility on the effect of and board characteristics on firm performance. Therefore, aim of this paper is to propose a framework that will investigate the moderating role joint effect of oil price volatility and board characteristics in influencing firm performance of Iraqi listed companies. It is anticipated that this study and the proposed framework will have wide generalization to economics constrained by weak firm performance that are mostly associated with volatile oil price and weak CG that deteriorates economic development.
Interactive error resilience beyond 2/7

Interactive error correcting codes can protect interactive communication protocols against a constant fraction of adversarial errors, while incurring only a constant multiplicative overhead in the total communication. What is the maximum fraction of errors that such codes can protect against? For the non-adaptive channel, where the parties must agree in advance on the order in which they communicate, Braverman and Rao prove that the maximum error resilience is 1/4 (STOC, 2011). Ghaffari, Haeupler, and Sudan (STOC, 2014) consider the adaptive channel, where the order in which the parties communicate may not be fixed, and give a clever protocol that is resilient to a 2/7 fraction of errors. This was believed to be optimal. We revisit this result, and show how to overcome the 2/7 barrier. Specifically, we show that, over the adaptive channel, every two-party communication protocol can be converted to a protocol that is resilient to 7/24 > 2/7 fraction of errors with only a constant multiplicative overhead to the total communication. The protocol is obtained by a novel implementation of a feedback mechanism over the adaptive channel.
LIMIT THEOREMS FOR BIFURCATING MARKOV CHAINS. APPLICATION TO THE DETECTION OF CELLULAR AGING BY JULIEN GUYON

We propose a general method to study dependent data in a binary tree, where an individual in one generation gives rise to two different offspring, one of type 0 and one of type 1, in the next generation. For any specific characteristic of these individuals, we assume that the characteristic is stochastic and depends on its ancestors’ only through the mother’s characteristic. The dependency structure may be described by a transition probability P(x, dy dz) which gives the probability that the pair of daughters’ characteristics is around (y, z), given that the mother’s characteristic is x. Note that y, the characteristic of the daughter of type 0, and z, that of the daughter of type 1, may be conditionally dependent given x, and their respective conditional distributions may differ. We then speak of bifurcating Markov chains. We derive laws of large numbers and central limit theorems for such stochastic processes. We then apply these results to detect cellular aging in Escherichia Coli, using the data of Stewart et al. and a bifurcating autoregressive model.
Implicit Bias through the Lens of Electroencephalography

Unconscious or implicit bias is a part of everyday life. All human beings both exhibit implicit bias and (some more than others) are also the victims of it. Due to the way humans have evolved implicit bias will never be something that ceases to exist. Thus, it is important that neuroscience and social science closely study how it works and how to curb the behaviors caused by implicit bias. In the following research EEG (electroencephalography) was used alongside a weapons IAT (Implicit Association Test) to examine specific neural components that may correlate with higher bias scores on the IAT. Specific components N200 and P200 were examined. The results indicated that white and Black faces elicited different mean amplitudes in the N200 waveform. There was also a significant negative correlation between the difference of congruent (Black faces and weapons) and incongruent (white faces and weapons) groups and IAT scores (calculated as the D score). This result indicated that the smaller the difference between block types (congruent and incongruent) the larger the D score (bias). These results were the opposite of original hypothesis. They both support and extend the findings of previous research regarding implicit bias and EEG. Some results of the current study also give rise to new ideas about bias and cognitive control. IMPLICIT BIAS THROUGH THE LENS OF ELECTROENCEPHALOGRAPHY 4
Psychiatric morbidity in psoriasis: a study in Himachal Pradesh, India

Background: Psychiatric morbidity in psoriasis is influenced by socio-cultural factors. Most of the studies in this perspective are done in western setup; to extrapolate them on Indian patients with different demographic and socio-cultural profile may not be appropriate. Our study was designed to evaluate the prevalence and its correlation to various socio-economic variables in Indian patients. Methods: This was a non-interventional, cross-sectional study, in which 125 consecutive psoriasis patients over one year were screened for psychiatric morbidity. Demographic and disease parameters including Psoriasis Area and Severity Index (PASI), Psoriasis Disability Index (PDI), General Health Questionnaire (GHQ), Comprehensive Psychopathological Rating Scale (CPRS) were recorded along with the severity assessment of psychiatric morbidity and its relation to these variables was analyzed. Results: Among 125 psoriasis patients, 43 (35.2%) had psychiatric morbidity. Thirty two (26.4%) had depression, 3 (2.4%) had dysthymia, generalized anxiety disorder and adjustment disorder each, and 2 (1.6%) suffered social phobia. A significant increase in psychiatric morbidity was seen with increase in PDI and PASI scores. Conclusions: There is a significant psychiatric morbidity associated with psoriasis and it increases with severity of the disease.
AN INVESTIGATION OF UNIVERSITY STUDENTS' ACCEPTANCE TOWARDS A LEARNING MANAGEMENT SYSTEM USING TECHNOLOGY ACCEPTANCE MODEL

The success of Learning Management System (LMS) in any educational institutions starts by students’ acceptance, which in turns initiates and promotes students' utilisation of LMS in classes. Thus, it is necessary to assess the key barriers to the adoption of an e-learning system such as LMS among students because the user acceptance is often the pivotal factor determining the success or failure of an information system project. Understanding students’ perception towards an LMS is a crucial issue for improving e-learning usage and effects. Therefore, this research aimed to frame a technology acceptance model (TAM) to investigate the usefulness and ease-of-use of an LMS from the perspective of university students. In this research, the LMS is referred to a web-based e-learning system called WBLE (Web-Based Learning Environment) in a Malaysian university. The proposed TAM integrated constructs from a well-established TAM which is developed by Davis in 1986. The research also aimed to: 1) study the effects of use rs’ demographic data such as gender, level of study and course of study on their perceived usefulness (PU) and perceived ease of use of WBLE; and 2) examine the relationships between users’ perceived usefulness, perceived ease of use (PEOU), and their behavioural intention to use WBLE. A sample of 445 students from a Malaysian university had taken part in the research. This research employed a self-administered questionnaire approach. Questionnaire was used to gather information about students’ opinion on h ow strongly they agree or disagree with the statements for each research construct. Data collected was analysed using the SPSS (Statistical Package for the Social Sciences). The research findings indicate that PU and PEOU are significant determinants of st udents’ behavioural intention to use WBLE. Nevertheless, student demographics have no impact on PEOU and PU.
Accounting for the integration of descriptive and experiential information in a repeated prisoner's dilemma using an instance-based learning model

: The way information is presented, using description or experience, can influence the decision making process. However, little is currently known on how descriptive information is accounted for in subsequent experiential learning. In this paper, we use a computational model based upon Instance-based Learning Theory (IBLT) and use it to study hypotheses on how participants may integrate descriptive and experiential information presented in a repeated prisoner’s dilemma. Two players, each simulated by an Instanced-based Learning (IBL) model, play against each other in a repeated prisoner’s dilemma. They are provided with a descriptive payoff matrix as well as the experiential information in the form of each other’s payoffs after making repeated decisions. Our results demonstrate that the descriptive payoff matrix information is incorporated into decisions using two mechanisms. The first is expectations derived from the description. A second mechanism, highlights the immediate and worst possible outcomes in the description, giving them more attention compared to the other outcomes. We highlight the significance of our results for decision making in social dilemmas.
SKILLED-UNSKILLED WAGE GAP AND RETURNS TO EDUCATION IN THE ENLARGED EU-Sectoral Analysis Based on the Experience of EU-15 Countries and Five New Member States

This paper proposes an alternative approach to the empirical study of wage gap between workers with different educational levels in the enlarged EU. The analysis is based on sectoral database, linking labor market statistics and trade data at the level of 12 manufacturing sectors in a group of 20 European countries: selected New Member States (NMS-5) and former EU-15 economies, in the period 1995-2005. The results of the empirical model suggest that wage inequality between workers with academic education and lower is associated mainly with domestic (and not foreign) labor market conditions and, to a lower extent, to trade forces. Degree of trade penetration affects skilled-unskilled gaps but we do not find significant wage effects of imports from less developed EU countries. The same result is confirmed when we consider trade in intermediates and outsourcing practises in Europe.
Persona-aware Dialogue Generation with Enriched Proﬁle

Endowing a dialogue system with particular persona is essential to deliver more human-like conversations. However, due to the difﬁculties of embodying person-alities in natural language, this problem is still far from well studied. This paper proposes a novel task of generating dialogue responses conditioned on explicit personal proﬁles with rich attributes. A dataset is constructed to facilitate the proposed task and a persona-aware dialogue generation model is also introduced. In this model, a structured personal proﬁle (in key-value pairs) is transformed and composed into a representation vector using a persona fusion module, and several different fusion methods are tested. Two techniques, namely persona-aware attention and persona-aware bias , are devised to capture and incorporate various persona attributes in the decoding process. Experiments and case studies demonstrate that our model is able to address proper attributes in different contexts.
Textlets: Supporting Constraints and Consistency in Text Documents

Writing technical documents frequently requires following constraints and consistently using domain-specific terms. We interviewed 12 legal professionals and found that they all use a standard word processor, but must rely on their memory to manage dependencies and maintain consistent vocabulary within their documents. We introduce Textlets, interactive objects that reify text selections into persistent items. We show how Textlets help manage consistency and constraints within the document, including selective search and replace, word count, and alternative wording. Eight participants tested a search-and-replace Textlet as a technology probe. All successfully interacted directly with the Textlet to perform advanced tasks; and most (6/8) spontaneously generated a novel replace-all-then-correct strategy. Participants suggested additional ideas, such as supporting collaborative editing over time by embedding a Textlet into the document to flag forbidden words. We argue that Textlets serve as a generative concept for creating powerful new tools for document editing.
Dynamically Evolving, Large-scale Information

To create maps of the Internet at the AS level usually paths occurring in the Internet are collected. We look at such data accumulated by two different approaches, namely by the Oregon Route-Views (RV) project and by the DIMES project. We perform standard statistical evaluations on the data in order to get a qualitative comparison of them. Furthemore, the potential effectivness of such an approach to network mapping is estimated by experiments, where a series of random target-source traceroute probes is performed on the data. Moreover, we consider the Internet mapping problem as a combinatorial optimization problem, where a minimum number of probes is asked to discover the whole (or a constant fraction) of an unknown network under the so called layered graph model assumption. We perform several experiments in order to check how well the RV and DIMES data perform in this context and to assess how well the layered graph model reﬂects reality. Assuming that the data sets actually are acurate maps of the Internet, we check how many measurements are needed to discover the complete / large fractions of the graph using a greedy discovery strategy.
PRODUCTION PROCESSES OF SYNBIOTICICE CREAM CONTAINING GERMINATED KDML105 RICE FLOUR AND LACTOBACILLUS ACIDOPHILUS LA-5: PHYSICOCHEMICAL, PROBIOTIC VIABILITY AND SENSORY EVALUATION

An unprecedented rate of advanced medical technology, physical activity promotion, nutraceutical and functional food like probiotics, prebioticsare increasingly to promote and maintain good health, feasibility of synbiotic ice creams (SIC), manufactured to include germinated brown rice (KDML105) flour, as prebiotic sources, and Lactobacillus acidophilus LA-5 probiotic culture was experimented. Physicochemical and sensory attributes of SIC. Using probiotic survivability over 30-day storage was manufactured. Four SIC formulations that mixed of rice flour (RF) and corn flour (CF): Synb-1 (0%RF, 4.0%CF); Synb-2 (2.0%RF, 2.0%CF 2.0%); Synb-3 (3.0%RF, 1.0%CF); and Synb-4 (4.0%RF, 0%CF). The physicochemical and microbiological analyses showed suitability with standards required by legislation, and all formulations through acceptable sensory attributes. Synb-1 and Synb-2 SIC indicate that higher counts of viable probiotic microorganisms with formulations were compared. The product matrix and pH maintained the viability of the probiotic microorganisms as 106 CFU/g, the potential of the manufactured of the SIC are provided.