Miracle-dz/UniFAR-FTUs huggingface dataset:
Racism on the Internet: Conceptualization and Recommendations for Research

Objective: Racism continues to thrive commonly and violently on the Internet in today’s digital age. Online specific factors such as increased anonymity and “digital freedom of speech” have allowed users to freely disclose their racist ideologies for the public to witness without fear of consequence and direct responsibility. Yet, little attention has been paid to examining racism in online experiences. In bringing the issue to the forefront, we provide a conceptual framework in characterizing the prevalence of racism in online settings. Approach: We articulate the processes underlying the racism visible in online settings based on review of relevant online communication and racism theories and studies that have examined online social mechanisms. Notably, increased anonymity on the Internet, or online anonymity, gives rise to several online attitudes that can foster racist representations in online settings: (a) a sense of invisibility and online confidence for people to act radically different than they would in nonanonymous settings, (b) a reliance on familiar group norms (e.g., race norms) and stereotypes as people navigate an online world that lack social and physical cues, and (c) an inclination to seek out like-minded people who share similar racist beliefs. Conclusion: Our conceptualization model outlines how people can resort to expressing racist views and opinions more visibly, commonly, and perhaps explicitly, on the Internet compared with offline interactions. We also bring attention to several initial research directions on theory building, impact of online racism, mental and physical costs, and antiracism efforts.
A Data and Query Model for Dynamic Playlist Generation

Motivated by the increasing amount of digital music on the WWW, this paper presents a data and query model for dynamic playlist generation. Queries are continuous, i.e., songs are retrieved one at a time, allowing the user to dynamically influence the retrieval. The model can support arbitrary similarity measures, requiring only the identity properly of the metric space to be obeyed. Using the similarity measure, we are able to retrieve songs similar to a given seed song and avoid retrieval of songs similar to disliked songs. Additionally, the model allows combined querying on both music metadata and musical content. Vie model has been implemented in a prototype system that is able to support a very large number of both songs and simultaneous users.
Cyclical Bid Adjustments in Search-Engine Advertising

Keyword advertising, or sponsored search, is one of the most successful advertising models on the Internet. One distinctive feature of keyword auctions is that they enable advertisers to adjust their bids and rankings dynamically, and the payoffs are realized in real time. We capture this unique feature with a dynamic model and identify an equilibrium bidding strategy. We find that under certain conditions, advertisers may engage in cyclical bid adjustments, and equilibrium bidding prices may follow a cyclical pattern: price-escalating phases interrupted by price-collapsing phases, similar to an “Edgeworth cycle” in the context of dynamic price competitions. Such cyclical bidding patterns can take place in both first-and second-price auctions. We obtain two data sets containing detailed bidding records of all advertisers for a sample of keywords in two leading search engines. Our empirical framework, based on a Markov switching regression model, suggests the existence of such cyclical bidding strategies. The cyclical bid-updating behavior we find cannot be easily explained with static models. This paper emphasizes the importance of adopting a dynamic perspective in studying equilibrium outcomes of keyword auctions. This paper was accepted by Pradeep Chintagunta and Preyas Desai, special issue editors. This paper was accepted by Pradeep Chintagunta and Preyas Desai, special issue editors.
The role of natural language in requirements engineering

The potential role of natural language processing in the requirements engineering process has been overstated in the past, possibly due to fundamental misunderstandings of the requirements engineering process itself. Since more realistic ambitions are likely to lead to less disappointment in the future, an effort is made to identify some phases and tasks where natural language processing may usefully be applied. It is suggested that the validation of requirements must remain an informal, social process. <<ETX>>
Robotic service coordination for elderly people and caregivers with Ubiquitous Network Robot Platform

This paper proposed a method for deploying robotic service coordination for elderly people and caregivers. By showing two kinds of robotic services for them in real environments, we explain what important designs to deploy robotic services are. For this purpose, we utilized an infrastructure, called Ubiquitous Network Robot Platform (UNR-PF), allowing robot service coordination with robots, smartphones, and sensor networks. Three layered architecture of UNR-PF supports developers of personalized robotic services and their coordination to utilize different types of hardware according to characteristics of users. In the case studies of elderly care, robotic services should consider different types of hardware (e.g., wheelchair type) due to characteristics of users; it makes difficulties for design of robotics services.
Determining Public Structure Crowd Evacuation Capacity

This paper explores a strategy for determining public space safety. Due to varied purposes and locations, each public space has architecture as well as facilities. A generalized analysis of capacities for public spaces is essential. The method we propose is to examine a public space with a given architecture. We used Bayesian Belief Network to determine the level of safety and identify points of weakness in public spaces.
FOR STATISTICAL ANALYSIS OF SOCIAL NETWORKS

This paper gives a state-of-the-art overview of available software for the statistical analysis of social networks as of Summer 2004. It reviews and compares software packages for social network analysis with respect to their statistical procedures, illustrating some procedures with example data. The choice of routines that were inspected is restricted to procedures for statistical modeling based on probability distributions (e.g., exponential random graph models, QAP correlation, statistical analysis of longitudinal network data). This definition of analysis routines excludes the extensive review of procedure-based routines based on more complex (iterative) algorithms like cluster analysis or eigendecompositions. The paper concludes with some recommendations.
Berardinelli ewes Ram mating behavior after long-term selection for reproductive rate in Rambouillet 2002

Mating behavior is known to be heritable in several species, but it is not known if selection schemes for ewe reproductive traits affect mating behavior of rams. Therefore, our objectives were to determine if divergent (high vs low index) selection of a female reproductive trait (lambs born divided by age of ewe minus one) affects mating behavior patterns of male offspring during training to service an artificial vagina (AV) in a less than natural setting (Exp. 1) or during serving capacity tests (SCT) in simulated natural mating conditions (Exp. 2). The method for evaluating male mating behavior was a series of serving capacity tests to estimate sexual performance. For Exp. 1, five, 30-min observations were conducted to assess the mating behavior of 29 rams (22 mo old) being trained to service an AV. In Exp. 1, percentages of rams mounting (73 vs 36%) and ejaculating (67 vs 29%) differed (P < 0.05) between rams from high and low Rambouillet ewe selection lines, respectively. In Exp. 2, ram classification consisted of exposing each 22to 24-mo-old ram (n = 48) to three unrestrained ewes in estrus for 18, 30min tests. Any ram that had not mounted or ejaculated during SCT was evaluated for sexual orientation in a
IN THE MEKONG REGION : THE INSTITUTIONAL CHALLENGE Måns

The report can be seen as the first component in a series of analyses, discussions, and perspective papers, on regional institutional innovations for natural resource issues discussed within the REPSI project. In this capacity, it is intended to act as a robust problem statement for the overall regional analysis of REPSI. But the paper is also designed to stand on its own as an independent research report.
A 5th subharmonic, inverter-based injection locked oscillator with 72–83GHz locking range

This paper presents a 79GHz fifth sub-harmonic injection locked oscillator (ILO). Compared to classical ILOs which are based on the nonlinearity of coupling transistors, this work uses inverter chains for input pulse pre-shaping. Thanks to the harmonic rich square wave, the new ILO combines linear and nonlinear mechanisms which widen the locking range. A prototype chip is fabricated in 28nm CMOS technology. A locking range from 72 to 83GHz is measured under -2dBm input power. The total power consumption is 25mW. Besides, a peak detector is implemented to ensure the locked ILO operates near the free-running frequency where the output amplitude is higher.
Searching for Language Resources on the Web: User Behaviour in the Open Language Archives Community

While much effort is expended in the curation of language resources, such investment is largely irrelevant if users cannot locate resourcesof interest. The Open Language Archives Community (OLAC) was established to define standards for the description of language resources and providecore infrastructure for a virtual digital library, thus addressing the resource discovery issue. In this paper we consider naturalistic user search behaviour in the Open Language Archives Community. Specifically, we have collected the query logs from the OLAC Search Engine over a 2 year period, collecting in excess of 1.2 million queries, in over 450K user search sessions. Subsequently we have mined these to discover user search patterns of various types, all pertaining to the discovery of language resources.A number of interesting observations can be made based on this analysis, in this paper we report on a range of properties and behaviours based on empirical evidence.
Nitrogen Assimilation, Abiotic Stress and Glucose 6-Phosphate Dehydrogenase: The Full Circle of Reductants

Glucose 6 phosphate dehydrogenase (G6PDH; EC 1.1.1.49) is well-known as the main regulatory enzyme of the oxidative pentose phosphate pathway (OPPP) in living organisms. Namely, in Planta, different G6PDH isoforms may occur, generally localized in cytosol and plastids/chloroplasts. These enzymes are differently regulated by distinct mechanisms, still far from being defined in detail. In the last decades, a pivotal function for plant G6PDHs during the assimilation of nitrogen, providing reductants for enzymes involved in nitrate reduction and ammonium assimilation, has been described. More recently, several studies have suggested a main role of G6PDH to counteract different stress conditions, among these salinity and drought, with the involvement of an ABA depending signal. In the last few years, this recognized vision has been greatly widened, due to studies clearly showing the non-conventional subcellular localization of the different G6PDHs, and the peculiar regulation of the different isoforms. The whole body of these considerations suggests a central question: how do the plant cells distribute the reductants coming from G6PDH and balance their equilibrium? This review explores the present knowledge about these mechanisms, in order to propose a scheme of distribution of reductants produced by G6PDH during nitrogen assimilation and stress.
11 Mutation and analogy to support creativity in computer-aided design

Creative processes in computer-aided design are identified as those that introduce new design variables into the design process. This paper describes the ideas behind the development of a computational model of creative processes in design. This computational model is founded on the use of mutation and analogy processes working in tandem using design prototypes as the representation schema.
Nuclear assembly shaped by microtubule dynamics

Maintenance of nuclear architecture is crucial for gene regulation, cell proliferation and tissue development. However, during every open mitosis and meiosis, chromosomes are exposed to cytoskeletal forces until they are fully reassembled into mature nuclei. Here we discuss our recent study of nuclear assembly in Xenopus egg extracts, where we showed that the DNA binding protein Developmental pluripotency associated 2 (Dppa2) directly inhibits microtubule polymerization during nuclear formation, and that this is essential for normal nuclear shape and replication. We explore mechanisms by which microtubule dynamics could regulate nuclear formation and morphology, and discuss the importance of both spatial and temporal regulation of microtubules in this process. Moreover, expression of Dppa2 is limited to the early embryo and pluripotent tissues, and we highlight the specific demands of mitosis in these often rapidly dividing cells, in which telophase nuclear assembly must be expedited and may facilitate developmental changes in nuclear architecture.
Sensory trick phenomenon improves motor control in pianists with dystonia: prognostic value of glove-effect

Musician’s dystonia (MD) is a task-specific movement disorder that causes loss of voluntary motor control while playing the instrument. A subgroup of patients displays the so-called sensory trick: alteration of somatosensory input, e.g., by wearing a latex glove, may result in short-term improvement of motor control. In this study, the glove-effect in pianists with MD was quantified and its potential association with MD-severity and outcome after treatment was investigated. Thirty affected pianists were included in the study. Music instrument digital interface-based scale analysis was used for assessment of fine motor control. Therapeutic options included botulinum toxin, pedagogical retraining and anticholinergic medication (trihexyphenidyl). 19% of patients showed significant improvement of fine motor control through wearing a glove. After treatment, outcome was significantly better in patients with a significant pre-treatment sensory trick. We conclude that the sensory trick may have a prognostic value for the outcome after treatment in pianists with MD.
Wavelet-based fragile watermarking scheme for image authentication

We propose a fragile watermarking scheme in the wavelet transform domain that is sensitive to all kinds of manipulations and has the ability to localize the tampered regions. To achieve high transparency (i.e., low embedding distortion) while providing protection to all coefficients, the embedder involves all the coefficients within a hierarchical neighborhood of each sparsely selected watermarkable coefficient during the watermark embedding process. The way the nonwatermarkable coefficients are involved in the embedding process is content-dependent and nondeterministic, which allows the proposed scheme to put up resistance to the so-called vector quantization attack, Holliman-Memon attack, collage attack, and transplantation attack.
Analysis of Oct 4-Dependent Transcriptional Networks Regulating Self-Renewal and Pluripotency in Human Embryonic Stem Cells

The POU domain transcription factor OCT4 is a key regulator of pluripotency in the early mammalian embryo and is highly expressed in the inner cell mass of the blastocyst. Consistent with its essential role in maintaining pluripotency, Oct4 expression is rapidly downregulated during formation of the trophoblast lineage. To enhance our understanding of the molecular basis of this differentiation event in humans, we used a functional genomics approach involving RNA interference-mediated suppression of OCT4 function in a human ESC line and analysis of the resulting transcriptional profiles to identify OCT4-dependent genes in human cells. We detected altered expression of >1,000 genes, including targets regulated directly by OCT4 either positively (NANOG, SOX2, REX1, LEFTB, LEFTA/EBAF DPPA4, THY1, and TDGF1) or negatively (CDX2, EOMES, BMP4, TBX18, Brachyury [T], DKK1, HLX1, GATA6, ID2, and DLX5), as well as targets for the OCT4-associated stem cell regulators SOX2 and NANOG. Our data set includes regulators of ACTIVIN, BMP, fibroblast growth factor, and WNT signaling. These pathways are implicated in regulating human ESC differentiation and therefore further validate the results of our analysis. In addition, we identified a number of differentially expressed genes that are involved in epigenetics, chromatin remodeling, apoptosis, and metabolism that may point to underlying molecular mechanisms that regulate pluripotency and trophoblast differentiation in humans. Significant concordance between this data set and previous comparisons between inner cell mass and trophectoderm in human embryos indicates that the study of human ESC differentiation in vitro represents a useful model of early embryonic differentiation in humans. STEM CELLS 2007;25:500–510
Association Of Neurotransmitter System Genes With Facial Emotion Recognition And Emotional Intelligence

The present work was aimed at studying the facial emotion recognition and emotional intelligence in carriers of different genotypes of BDNF, COMT, HTR2 genes. These genes are associated with neurotransmitters systems and, therefore, can be associated with studied characteristics. To study facial emotion recognition, we recorded hit rates and verbal reaction times in response to video clips depicting facial expressions of six basic emotions (anger, disgust, fear, happiness, sadness, and surprise). Emotional Intelligence by Lyusin, The Emotional Intelligence Self-Evaluation by Hall, and Mayer-Salovey-Caruso Emotional Intelligence Test were used as measures of emotional intelligence. DNA was extracted from buccal cells, genotyping procedure was implemented by PCR method (“Biological Solutions and Technologies”, Russia, Moscow). Analysis of variance with repeated measures showed that carriers of Val/Met of BDNF were more accurate than carriers of Val/Val of BDNF at recognition of anger. In regard to emotional intelligence, carriers of Val/Met of BDNF showed a high level of the general score of MayerSalovey-Caruso Emotional Intelligence Test than carriers of Val/Val of BDNF. We did not find any significant effect of genotypes of COMT and HTR2A on facial emotion recognition. Also we did not find any significant effect of genotypes of COMT and HTR2A on emotional intelligence measures. © 2018 Published by Future Academy www.FutureAcademy. org.UK
From Infrastructure to Culture: A/B Testing Challenges in Large Scale Social Networks

A/B testing, also known as bucket testing, split testing, or controlled experiment, is a standard way to evaluate user engagement or satisfaction from a new service, feature, or product. It is widely used among online websites, including social network sites such as Facebook, LinkedIn, and Twitter to make data-driven decisions. At LinkedIn, we have seen tremendous growth of controlled experiments over time, with now over 400 concurrent experiments running per day. General A/B testing frameworks and methodologies, including challenges and pitfalls, have been discussed extensively in several previous KDD work [7, 8, 9, 10]. In this paper, we describe in depth the experimentation platform we have built at LinkedIn and the challenges that arise particularly when running A/B tests at large scale in a social network setting. We start with an introduction of the experimentation platform and how it is built to handle each step of the A/B testing process at LinkedIn, from designing and deploying experiments to analyzing them. It is then followed by discussions on several more sophisticated A/B testing scenarios, such as running offline experiments and addressing the network effect, where one user's action can influence that of another. Lastly, we talk about features and processes that are crucial for building a strong experimentation culture.
PRONOSTIA : An experimental platform for bearings accelerated degradation tests.

This paper deals with the presentation of an experimental platform called PRONOSTIA, which enables testing, verifying and validating methods related to bearing health assessment, diagnostic and prognostic. The choice of bearings is justified by the fact that most of failures of rotating machines are related to these components. Therefore, bearings can be considered as critical as their failure significantly decreases availability and security of machines. The main objective of PRONOSTIA is to provide real data related to accelerated degradation of bearings performed under constant and/or variable operating conditions, which are online controlled. The operating conditions are characterized by two sensors: a rotating speed sensor and a force sensor. In PRONOSTIA platform, the bearing's health monitoring is ensured by gathering online two types of signals: temperature and vibration (horizontal and vertical accelerometers). Furthermore, the data are recorded with a specific sampling frequency which allows catching all the frequency spectrum of the bearing during its whole degradation. Finally, the monitoring data provided by the sensors can be used for further processing in order to extract relevant features and continuously assess the health condition of the bearing. During the PHM conference, a "IEEE PHM 2012 Prognostic Challenge" is organized. For this purpose, a web link to the degradation data is provided to the competitors to allow them testing and verifying their prognostic methods. The results of each method can then be evaluated regarding its capability to accurately estimate the remaining useful life of the tested bearings.
Implementation of the variable density mesh within the finite difference frequency domain algorithm to analysis of electromagnetic field in building constructions

The paper presents the developed algorithm of the finite difference frequency domain method (FDFD). The proposed formulation allows analyzing some large-scale models using a local refinement of the differential mesh based on the h-adaptation of the rectangular elements. The final form of the algorithm is implemented to estimate field phenomena connected with the propagation of high frequency electromagnetic waves in building constructions. The electrical losses in materials caused by conducting and displacement currents are taken into account. The presented algorithm is applied to analyze electromagnetic field around a pillar of a building, in the band of some local wireless communication systems. The results obtained from the proposed FDFD scheme are confronted with the field distribution computed using FDTD and FEM methods.
State-ofthe-art in coding systems by a geometrical and technological approach

-. The goal of this paper is to show and justify the reasons to develop a new part coding systems that includes a more complete characterization of the parts. This new coding system not only could be used in common applications, also in computing process planning tasks. Particularly, this paper shows a possible application related with the conceptual design of Flexible Manufacturing Systems and the support to work with an objective automation process in their design. Key-Words: Group technology, Flexible manufacturing system, Π Buckinham theorem, Similarity, Ionic nitriding process, Neural networks.