Miracle-dz/UniFAR-FTUs huggingface dataset:
Creating and Annotating Affect Databases from Face and Body Display: A Contemporary Survey

Databases containing representative samples of human multi-modal expressive behavior are needed for the development of affect recognition systems. However, at present publicly-available databases exist mainly for single expressive modalities such as facial expressions, static and dynamic hand postures, and dynamic hand gestures. Only recently, a first bimodal affect database consisting of expressive face and upper-body display has been released. To foster development of affect recognition systems, this paper presents a comprehensive survey of the current state-of-the art in affect database creation from face and body display and elicits the requirements of an ideal multi-modal affect database.
The Kinetics of G2 and M Transitions Regulated by B Cyclins

B cyclins regulate G2-M transition. Because human somatic cells continue to cycle after reduction of cyclin B1 (cycB1) or cyclin B2 (cycB2) by RNA interference (RNAi), and because cycB2 knockout mice are viable, the existence of two genes should be an optimization. To explore this idea, we generated HeLa BD™ Tet-Off cell lines with inducible cyclin B1- or B2-EGFP that were RNAi resistant. Cultures were treated with RNAi and/or doxycycline (Dox) and bromodeoxyuridine. We measured G2 and M transit times and 4C cell accumulation. In the absence of ectopic B cyclin expression, knockdown (kd) of either cyclin increased G2 transit. M transit was increased by cycB1 kd but decreased by cycB2 depletion. This novel difference was further supported by time-lapse microscopy. This suggests that cycB2 tunes mitotic timing, and we speculate that this is through regulation of a Golgi checkpoint. In the presence of endogenous cyclins, expression of active B cyclin-EGFPs did not affect G2 or M phase times. As previously shown, B cyclin co-depletion induced G2 arrest. Expression of either B cyclin-EGFP completely rescued knockdown of the respective endogenous cyclin in single kd experiments, and either cyclin-EGFP completely rescued endogenous cyclin co-depletion. Most of the rescue occurred at relatively low levels of exogenous cyclin expression. Therefore, cycB1 and cycB2 are interchangeable for ability to promote G2 and M transition in this experimental setting. Cyclin B1 is thought to be required for the mammalian somatic cell cycle, while cyclin B2 is thought to be dispensable. However, residual levels of cyclin B1 or cyclin B2 in double knockdown experiments are not sufficient to promote successful mitosis, yet residual levels are sufficient to promote mitosis in the presence of the dispensible cyclin B2. We discuss a simple model that would explain most data if cyclin B1 is necessary.
Integrating Selectional Constraints and Subcategorization Frames in a Dependency Parser

Statistical parsers are trained on treebanks that are composed of a few thousand sentences. In order to prevent data sparseness and computational complexity, such parsers make strong independence hypotheses on the decisions that are made to build a syntactic tree. These independence hypotheses yield a decomposition of the syntactic structures into small pieces, which in turn prevent the parser from adequately modeling many lexico-syntactic phenomena like selectional constraints and subcategorization frames. Additionally, treebanks are several orders of magnitude too small to observe many lexico-syntactic regularities, such as selectional constraints and subcategorization frames. In this article, we propose a solution to both problems: how to account for patterns that exceed the size of the pieces that are modeled in the parser and how to obtain subcategorization frames and selectional constraints from raw corpora and incorporate them in the parsing process. The method proposed was evaluated on French and on English. The experiments on French showed a decrease of 41.6% of selectional constraint violations and a decrease of 22% of erroneous subcategorization frame assignment. These figures are lower for English: 16.21% in the first case and 8.83% in the second.
Wavelet-PLS Regression : Application to Oil Production Data

This paper is devoted to the study of PLS regression in the presence of noise that could affect the quality of the results. To solve this problem, we suggest a hybrid approach which combines PLS regression and wavelet-based thresholding techniques. The proposed method is validated via a simulation study and subsequently applied to petroleum data. Empirical results show the relevance of the selected approach and contribute to a better modelling of the series of study.
UV and VUV photolysis vs. UV/H2O2 and VUV/H2O2 treatment for removal of clofibric acid from aqueous solution

Clofibric acid (CA), a metabolite of lipid regulators, was investigated in ultra‐pure water and sewage treatment plant (STP) effluent at 10 °C under UV, vacuum UV (VUV), UV/H2O2 and VUV/H2O2 processes. The influences of NO3 −, HCO3 − and humic acid (HA) on CA photolysis in all processes were examined. The results showed that all the experimental data well fitted the pseudo‐first‐order kinetic model, and the apparent rate constant (kap ) and half‐life time (t1/2 ) were calculated accordingly. Direct photolysis of CA through UV irradiation was the main process, compared with the indirect oxidation of CA due to the slight generation of hydroxyl radicals dissociated from water molecules under UV irradiation below 200 nm monochromatic wavelength emission. In contrast, indirect oxidation was the main CA degradation mechanism in UV/H2O2 and VUV/H2O2, and VUV/H2O2 was the most effective process for CA degradation. The addition of 20 mg L−1 HA could significantly inhibit CA degradation, whereas, except for UV irradiation, the inhibitive effects of NO3 − and HCO3 − (1.0 × 10−3 and 0.1 mol L−1, respectively) on CA degradation were observed in all processes, and their adverse effects were more significant in UV/H2O2 and VUV/H2O2 processes, particularly at the high NO3 − and HCO3 − concentrations. The degradation rate decreased 1.8–4.9‐fold when these processes were applied to a real STP effluent owing to the presence of complex constituents. Of the four processes, VUV/H2O2 was the most effective, and the CA removal efficiency reached over 99% after 40 min in contrast to 80 min in both the UV/H2O2 and VUV processes and 240 min in the UV process.
A meta-analysis of the drive for muscularity's relationships with exercise behaviour, disordered eating, supplement consumption, and exercise dependence

ABSTRACT We examined the drive for muscularity's (DFM) relationships with exercise behaviour, disordered eating, supplement consumption, and exercise dependence in males. By searching electronic databases, manually reviewing journal tables of contents and retrieved article reference lists, and corresponding with leading researchers, we identified 77 studies. A random effects model was applied to perform analyses and we adjusted results for possible publication bias. The average effect sizes (r) the DFM had with weight training (.31), non-weight training (.11), disordered eating (.30), supplement consumption (.36), and exercise dependence (.43) were significant (P < .05). The relationship between the attitudes and behavioural subscales of the DFM Scale (r = .47) was significant (P < .001). For supplement consumption, moderator analysis indicated that r varied significantly for questionnaire type and participant status (student versus non-student, P < .01). The small to moderate relationships indicate the value of adopting theoretical perspectives allowing the examination of the DFM's role in predicting exercise and dietary behaviour within a broader psychosocial context. Most researchers have studied these relationships in isolation. The relationship between the two DFM subscales implies that the questionnaire total score may better represent a commitment to muscularity rather than a drive per se.
BmPLA2 containing conserved domain WD40 affects the metabolic functions of fat body tissue in silkworm, Bombyx mori

PLA2 enzyme hydrolyzes arachidonic acid, and other polyunsaturated fatty acids, from the sn‐2 position to release free arachidonic acid and a lysophospholipid. Previous studies reported that the PLA2 in invertebrate organisms participates in lipid signaling molecules like arachidonic acid release in immune‐associated tissues like hemocytes and fat bodies. In the present study, we cloned the BmPLA2 gene from fat body tissue of silkworm Bombyx mori, which has a total sequence of 1.031 kb with a 31.90 kDa protein. In silico results of BmPLA2 indicated that the protein has a putative WD40 conserved domain and its phylogeny tree clustered with Danaus plexippus species. We investigated the transcriptional expression in development stages and tissues. The highest expression of BmPLA2 was screened in fat body among the studied tissues of third day fifth instar larva, with a high expression on third day fifth instar larva followed by a depression of expression in the wandering stage of the fifth instar larva. The expression of BmPLA2 in female pupa was higher than that of male pupa. Our RNAi‐mediated gene silencing results showed highest reduction of BmPLA2 expression in post‐24 h followed by post‐48 and post‐72 h. The BmPLA2‐RNAi larvae and pupa could be characterized by pharate adult lethality and underdevelopment. The phenotypic characters of fat body cells in RNAi‐induced larva implied that BmPLA2 affects the metabolic functions of fat body tissue in silkworm Bombyx mori.
Weakly-Supervised Deep Learning for Customer Review Sentiment Classification

Sentiment analysis is one of the key challenges for mining online user generated content. In this work, we focus on customer reviews which are an important form of opinionated content. The goal is to identify each sentence's semantic orientation (e.g. positive or negative) of a review. Traditional sentiment classification methods often involve substantial human efforts, e.g. lexicon construction, feature engineering. In recent years, deep learning has emerged as an effective means for solving sentiment classification problems. A neural network intrinsically learns a useful representation automatically without human efforts. However, the success of deep learning highly relies on the availability of large-scale training data. In this paper, we propose a novel deep learning framework for review sentiment classification which employs prevalently available ratings as weak supervision signals. The framework consists of two steps: (1) learn a high level representation (embedding space) which captures the general sentiment distribution of sentences through rating information; (2) add a classification layer on top of the embedding layer and use labeled sentences for supervised fine-tuning. Experiments on review data obtained from Amazon show the efficacy of our method and its superiority over baseline methods.
Association Between Adult Attachment Representations and Undergraduate Student Course Evaluations

Students' course evaluations often play an important role in career advancement for faculty. The authors examined the association between attachment representations of parents and course evaluations in a sample of 230 undergraduate students. They found a significant negative association between attachment anxiety with parents and course evaluation, thereby suggesting that insecure–anxious students were more likely to give negative course evaluations. The authors provide suggestions for professors to improve their scores on student course evaluations.
What Directs a Terrorist?

Terrorist models often focus on one kind of agent as well as one motive to pursue terrorism. Our model diverges from such standard approaches by taking account of the reasoning of the terrorist‐organization leader as well as the reasoning of the individual terrorist. This allows us to observe the influence of the leader on the individual terrorist. Furthermore, we distinguish different motives that influence the individual agent’s activities. More precisely, we consider terrorist support as an impure public good generating different characteristics. Moreover, we allow the leader to influence the individual terrorist’s activities via different technologies; and finally, we take account of the fact that individual terrorists may develop a strong feeling of belongingness to the organization. In our framework, it is possible to explain why rational terrorists support terrorism and even commit suicide attacks. In line with empirical findings, income levels play no decisive factor in terrorists’ readiness to commit such attacks.
RELATING EVENTS IN NARRATIVE: A CROSSLINGUISTIC DEVELOPMENTAL STUDY. Ruth A. Berman and Dan I. Slobin (Eds.). Hillsdale, NJ: Erlbaum, 1994. Pp. xiv + 748. $99.95 cloth.

To investigate whether different languages provide different means to relate experiences, the study reported in the present volume had speakers of five different languages (English, German, Spanish, Hebrew, and Turkish) tell a story on the basis of an ordered set of 24 pictures, entitled Frog, Where Are You? In each language, 3-, 5-, and 9-year-old children and adults were included as subjects, as well as a group of 4-year-old English, Spanish, and Hebrew speakers. By making a comparison among these age groups, the differences in how children acquire narrative competence in different languages was examined. Comprehensive in its own right, this study forms part of a larger crosslinguistic comparison, in which a total of more than 80 projects is being carried out across the globe, involving native speakers of some 42 languages and a variety of bilingual populations as well as subjects with language impairments. Each of these studies uses Frog, Where Are You? as task input. The specific objectives of this study are to chart the development of linguistic form in children's language. Examples of the linguistic forms considered here are tense and aspect, voice (active/passive), and syntactic constructions such as relative and complement clauses. Moreover, the authors assess how these forms are used for certain narrative functions such as the temporal ordering of events, narrative perspective, and hierarchical organization of the text into main and subordinate components. The study of how form and function interact in a language is of interest because it may reveal a dependence of the thoughts we express, the information we exchange, and the possibilities and constraints provided by the language we use. The authors of this volume invoke the Sapir-Whorf hypothesis to discuss the implications of their work: Is our thinking shaped or determined by linguistic features and, if so, do members of different language communities therefore think differently? The authors rightfully choose to consider a more modest proposal: The thoughts that constitute speaking in a language may be particular to the linguistic features of that language. As far as the construction of narratives is concerned, our attention may be therefore channeled toward those semantic distinctions that happen to be grammatically marked. For instance, English and German possess a wide variety of means to describe movement, whereas Hebrew, Spanish, and Turkish have a more constrained set of forms available. Does this result in more "dynamic" narratives in the former group of languages? From the adult narratives considered in this study, it appears, as other scholars have also suggested, that language users are inventive, circumventing the constraints imposed by their native language.
Enhancing Knowledge Intensive Business Processes via Knowledge Management Audit

Enhancing organizational Knowledge-Intensive Business Processes (KIBP) for gaining competitive advanta ges is often performed through Knowledge Management (KM) initiatives. These KM initiatives aim at developing organi zational KM infrastructure of KIBP, starting from knowledge aud it that is a necessary first step in any KM initiat ive. Current knowledge audit methods address either technological-related or social-related aspects. None of them was found t o deal with the triple perspective of KM infrastructure: culture, knowledg e processes and information technology, in the cont ext of KIBP. This paper proposes a comprehensive framework and practical tools for knowledge audit that aim at enhancing KIBP by embedding KM capabilities within them. As KM infrastructure integrates social and technological discip lines, we developed a combined Socio-Engineering Knowledge Audit Methodology (SEKAM) for a systematic audit of the KM infrastructure in the context of KIBP. This methodology is illustrate d through knowledge audit in a large high-tech glob al organization.
Design methodology for analog high frequency ICs

This paper presents a methodology suited for high frequency analog IC design. The use of a top-down method with AHDL for circuit designers is proposed. In order to accelerate the re-use of circuits that were previously designed and validated in other ICs, the authors developed a system that eases the re-use in the top-down design environment. Moreover, a model parameter generation technique for bipolar transistors has been developed and its usefulness has been shown for accurate simulation of high frequency analog ICs.
Handling Advertisements of Unknown Quality in Search Advertising

We consider how a search engine should select advertisements to display with search results, in order to maximize its revenue. Under the standard "pay-per-click" arrangement, revenue depends on how well the displayed advertisements appeal to users. The main difficulty stems from new advertisements whose degree of appeal has yet to be determined. Often the only reliable way of determining appeal is exploration via display to users, which detracts from exploitation of other advertisements known to have high appeal. Budget constraints and finite advertisement lifetimes make it necessary to explore as well as exploit. In this paper we study the tradeoff between exploration and exploitation, modeling advertisement placement as a multi-armed bandit problem. We extend traditional bandit formulations to account for budget constraints that occur in search engine advertising markets, and derive theoretical bounds on the performance of a family of algorithms. We measure empirical performance via extensive experiments over real-world data.
Direction finding of signal subspace fitting based on cultural bee colony algorithm

Based on weighted signal subspace fitting and the minimum redundant array, a minimum redundant-weighted signal subspace fitting (MR-WSSF) algorithm is proposed. The proposed algorithm utilized few virtual elements and expanded the number of effective aperture array, while significantly improving the performance of the original WSSF algorithms. In order to fit the proposed direction finding algorithm based on the minimum redundant array and WSSF, a cultural bee colony (CBC) algorithm is proposed and applied to MR-WSSF. In the proposed CBC algorithm, it is key idea that cultural bee colony is to acquire problem-solving knowledge from the artificial bee colony and in return make use of that knowledge to bee colony and guide the search in fast velocity. Monte-Carlo simulations have proved that the proposed CBC-MR-WSSF method has some good performance such as high precision solution and the capability of using a small number of elements to find more signal sources.
When are net effects gross products? The power of influence and the influence of power in computer-mediated communication.

The rush to judgment about the social effects of the new communications media has branded them as positive and negative in equal measure. Alienation from "real world" relationships coupled with a lack of social regulation within the medium is balanced by liberation from the influences, inequalities, and identities to which people are subjected in face-to-face interaction. We argue that such general conclusions may in fact be turned upside down and propose that these media may actually strengthen social bonds but also reinforce power inequalities. Reviewing evidence of our research with university students, employing the social identity model of deindividuation effects, we show how these technologies can often be more "social," and socially regulated, than face-to-face interaction.
REFRAMING ONLINE: ULSTER LOYALISTS IMAGINE AN AMERICAN AUDIENCE

This article examines one initiative aimed at taking advantage of new technologies to build new transnational connections between a political movement in the “homeland” and a diaspora population in the United States. It analyzes an initiative by Ulster loyalists in Northern Ireland to mobilize Americans of Ulster Protestant descent in support of their cause, while simultaneously attempting to undermine the American support base of their Irish nationalist opponents. By contrast with Irish nationalists, Ulster loyalists have never had significant support networks in the United States. This attempt to mobilize a distant diaspora has met with little success. This article argues that loyalist understandings of their imagined audience in the United States are built on a misleading caricature of Irish-American support networks for Irish republicans. These misunderstandings direct loyalists towards a strategy that places undue weight on the role of homeland propaganda in converting shared ancestry into political .
Systematic review: microbial dysbiosis and nonalcoholic fatty liver disease

The human intestinal microbiota is a key regulator of host metabolic and immune functions and alterations in the microbiome (‘dysbiosis’) have been implicated in several human diseases. Because of the anatomical links between the intestines and the liver, dysbiosis may also disrupt hepatic function and thereby contribute to the pathogenesis of nonalcoholic fatty liver disease (NAFLD).
Life adverse experiences in relation with obesity and binge eating disorder: A systematic review

Background and aims Several studies report a positive association between adverse life experiences and adult obesity. Despite the high comorbidity between binge eating disorder (BED) and obesity, few authors have studied the link between trauma and BED. In this review the association between exposure to adverse life experiences and a risk for the development of obesity and BED in adulthood is explored. Methods Based on a scientific literature review in Medline, PubMed and PsycInfo databases, the results of 70 studies (N = 306,583 participants) were evaluated including 53 studies on relationship between adverse life experiences and obesity, 7 studies on post-traumatic stress disorder (PTSD) symptoms in relation to obesity, and 10 studies on the association between adverse life experiences and BED. In addition, mediating factors between the association of adverse life experiences, obesity and BED were examined. Results The majority of studies (87%) report that adverse life experiences are a risk factor for developing obesity and BED. More precisely a positive association between traumatic experiences and obesity and PTSD and obesity were found, respectively, in 85% and 86% of studies. Finally, the great majority of studies (90%) between trauma and the development of BED in adulthood strongly support this association. Meanwhile, different factors mediating between the trauma and obesity link were identified. Discussion and conclusions Although research data show a strong association between life adverse experiences and the development of obesity and BED, more research is needed to explain this association.
Asymptotic Normality in Density Support Estimation

Let $X_1,\ldots,X_n$ be $n$ independent observations drawn from a multivariate probability density $f$ with compact support $S_f$. This paper is devoted to the study of the estimator $\hat{S}_n$ of $S_f$ defined as the union of balls centered at the $X_i$ and with common radius $r_n$. Using tools from Riemannian geometry, and under mild assumptions on $f$ and the sequence $(r_n)$, we prove a central limit theorem for $\lambda (S_n \Delta S_f)$, where $\lambda$ denotes the Lebesgue measure on $\mathbb{R}^d$ and $\Delta$ the symmetric difference operation.