Miracle-dz/UniFAR-FTUs huggingface dataset:
Acute alcohol exposure during mouse gastrulation alters lipid metabolism in placental and heart development: Folate prevention

Background Embryonic acute exposure to ethanol (EtOH), lithium, and homocysteine (HCy) induces cardiac defects at the time of exposure; folic acid (FA) supplementation protects normal cardiogenesis (Han et al., 2009, 2012; Serrano et al., 2010). Our hypothesis is that EtOH exposure and FA protection relate to lipid and FA metabolism during mouse cardiogenesis and placentation. Methods On the morning of conception, pregnant C57BL/6J mice were placed on either of two FA‐containing diets: a 3.3 mg health maintenance diet or a high FA diet of 10.5 mg/kg. Mice were injected a binge level of EtOH, HCy, or saline on embryonic day (E) 6.75, targeting gastrulation. On E15.5, cardiac and umbilical blood flow were examined by ultrasound. Embryonic cardiac tissues were processed for gene expression of lipid and FA metabolism; the placenta and heart tissues for neutral lipid droplets, or for medium chain acyl‐dehydrogenase (MCAD) protein. Results EtOH exposure altered lipid‐related gene expression on E7.5 in comparison to control or FA‐supplemented groups and remained altered on E15.5 similarly to changes with HCy, signifying FA deficiency. In comparison to control tissues, the lipid‐related acyl CoA dehydrogenase medium length chain gene and its protein MCAD were altered with EtOH exposure, as were neutral lipid droplet localization in the heart and placenta. Conclusion EtOH altered gene expression associated with lipid and folate metabolism, as well as neutral lipids, in the E15.5 abnormally functioning heart and placenta. In comparison to controls, the high FA diet protected the embryo and placenta from these effects allowing normal development. Birth Defects Research (Part A) 106:749–760, 2016. © 2016 The Authors Birth Defects Research Part A: Clinical and Molecular Teratology Published by Wiley Periodicals, Inc.
Imbalanced network traffic classification based on ensemble feature selection

In order to improve the classification efficiency of large scale imbalanced network traffic, a classification method based on ensemble feature selection is proposed. The method firstly based on the characteristics of SU algorithm on different data sets to generate the feature subset. According to the data set of support degree and the threshold to produce integrated feature subset, based on the accuracy and recall rate, ROC area three criteria in the decision tree model compared the different feature selection methods of class effect. Experimental results show that the ensemble feature selection method in imbalanced network traffic classification performance is better than the general SU algorithm.
A methodology for 3D registration of range images for object visualization

This paper describes an image description method in VRML, using a device for 3D image acquisition. The information obtained from the capture of each object face is organized, and a description of the scanned object is made in the VRML format. This paper presents a study of the minimum number of captures that is necessary to obtain a complete description of the object. The paper shows the problems of face coherence, superposition of points and occluded faces, and it discusses the solutions for these problems.
The Normalized Compression Distance Is Resistant to Noise

This correspondence studies the influence of noise on the normalized compression distance (NCD), a measure based on the use of compressors to compute the degree of similarity of two files. This influence is approximated by a first order differential equation which gives rise to a complex effect, which explains the fact that the NCD may give values greater than 1, observed by other authors. The model is tested experimentally with good adjustment. Finally, the influence of noise on the clustering of files of different types is explored, finding that the NCD performs well even in the presence of quite high noise levels
New Low Accretion Rate Magnetic Binary Systems and their Significance for the Evolution of Cataclysmic Variables

Discoveries of two new white dwarf plus M star binaries with striking optical cyclotron emission features from the Sloan Digital Sky Survey (SDSS) brings to six the total number of X-ray-faint, magnetic accretion binaries that accrete at rates Ṁ ≲ 10-13 M ☉ yr-1, or <1% of the values normally encountered in cataclysmic variables. This fact, coupled with donor stars that underfill their Roche lobes and very cool white dwarfs, brand the binaries as post-common-envelope systems whose orbits have not yet decayed to the point of Roche lobe contact. They are premagnetic cataclysmic variables, or pre-Polars. The systems exhibit spin-orbit synchronism and apparently accrete by efficient capture of the stellar wind from the secondary star, a process that has been dubbed a "magnetic siphon. " Because of this, period evolution of the binaries will occur solely by gravitational radiation, which is very slow for periods >3 hr. Optical surveys for the cyclotron harmonics appear to be the only means of discovery, so the space density of pre-Polars could rival that of Polars, and the binaries provide an important channel of progenitors (in addition to the asynchronous intermediate Polars). Both physical and SDSS observational selection effects are identified that may help to explain the clumping of all six systems in a narrow range of magnetic field strength around 60 MG.
Comparison of sexual function in oral contraception pills and Condom in women referring to health centers of Tehran Shahid Beheshti University of Medical Sciences

Introduction: Favorite sexual function is one of the health component which is a sign of physical and mental health. Women use oral contraceptive pills for prevention of unwanted pregnancy that their effects on sexual function must be considered. This study was performed with aim to compare sexual function in women using contraceptive pills (OCP) with Condom. Methods: This descriptive-comparative study was conducted on 240 women referring to health centers of Tehran Shahid Beheshti University of Medical Sciences in 2013. Data collection tool was Female Sexual Function Index and demographic characteristic questionnaire. Data was analyzed using d SPSS software (version 16), and independent t test. PResults: Mean age of women using OCP was 29.57 ± 5.42 and women using condom 29.23± 5.41 years. No difference was observed between demographic characteristics, sexual function and their dimensions between OCP and Condom groups (P>0.05). Conclusion: OCP didn’t cause sexual dysfunction but their effects cannot be ignored because sexual function is influenced by several factors.
Automatic Implementation of Service Required by Components

We present in this paper the COSTO toolbox that supports the Kmelia abstract component model. First, an overview of the COSTO toolbox is given. Then the abstract component model Kmelia is presented. One main feature of the toolbox is the connection with existing tools in order to perform the analysis of specification properties. We present this approach for the dynamic aspect analysis; an example of the connection with the CADP toolbox to check Kmelia service behavioural compatibility is used as an illustration.
Robust MIMO beamforming and power allocation for artificial noise generated by both transmitter and receiver

This paper is concerned with the secure MIMO transmission in a classic three-node network, in which both the transmitter (Alice) and the receiver (Bob) simultaneously send artificial noise (AN) to impact the channel of the eavesdropper (Eve). Only statistical information about the eavesdropper channel is available. Compared to previous works, this paper studies the scenario in which the main channel are also time-varying and goes through Rayleigh fading. Expected secrecy rate is adopted to evaluate the performance of this model. Robust beamforming and power allocation are proposed to maximize the lower bound of the expected secrecy rate. Numerical results show that with the increase of Bob's AN power, the best practice is to allocate more dimensions for emitting AN and at the same time distribute a greater proportion of Alice's power to information symbols.
Activation Mechanism of LRRK2 and Its Cellular Functions in Parkinson's Disease

Human LRRK2 (Leucine-Rich Repeat Kinase 2) has been associated with both familial and idiopathic Parkinson's disease (PD). Although several LRRK2 mediated pathways and interaction partners have been identified, the cellular functions of LRRK2 and LRRK2 mediated progression of PD are still only partially understood. LRRK2 belongs to the group of Roco proteins which are characterized by the presence of a Ras-like G-domain (Roc), a C-terminal of Roc domain (COR), a kinase, and several protein-protein interaction domains. Roco proteins exhibit a complex activation mechanism involving intramolecular signaling, dimerization, and substrate/effector binding. Importantly, PD mutations in LRRK2 have been linked to a decreased GTPase and impaired kinase activity, thus providing putative therapeutic targets. To fully explore these potential targets it will be crucial to understand the function and identify the pathways responsible for LRRK2-linked PD. Here, we review the recent progress in elucidating the complex LRRK2 activation mechanism, describe the accumulating evidence that link LRRK2-mediated PD to mitochondrial dysfunction and aberrant autophagy, and discuss possible ways for therapeutically targeting LRRK2.
PERCEPTIONS OF THE PSYHOLOGICAL CONTRACT IN WORKING LIFE AND AN APPLICATION IN THE SERVICE SECTOR

Unlike employment agreement, psychological contract comprises not only both sides of the covenant in an employment relation but also involves the promises and obligations being dependent on all types of perceived spoken messages, attitudes, and behaviours between the parties. As the individuals in various ways can form this perception, the results during the process and the reflections to the working life may display differences. The purpose of this study is to investigate the impacts of the psychological contract on the relationship between employee and employers. It is also within the scope of this study to evaluate the effects of the demographic characteristics such as gender, age, marital status, academic background, job tenure on psychological contract. In this study, firstly, the term “psychological contract” is examined, then employees’ ideas related to psychological contract are tried to be identified in health facilities and retailing sector in which flexible working is intensely implemented. The analyses of data collected from the questionnaires have revealed the employees’ opinions about the issues within the context of psychological contract. When the results of this study are assessed, it is concluded that demographic characteristics stated by the participants did not show any significant variation in the perception of both organizational and employees’ commitments.
Dimension reduction using least squares regression in multi-labeled text categorization

Dimension reduction is a preprocessing step by which small number of optimal features are extracted. Among several statistical dimension reduction methods, Linear discriminant analysis (LDA) performs dimension reduction to maximize class separability in the reduced dimensional space. However, in multi-labeled problems, data samples belonging to multiple classes cause contradiction between the maximization of the distances between classes and the minimization of the scatter within classes, since they are placed in the overlapping area of multiple classes. In this paper, we show that in multi-labeled text categorization, the outputs from multiple linear methods can be used to compose new features for low dimensional representation. Especially, we apply least squares regression and a linear support vector machine (SVM) for multiple binary-class problems constructed from a multi-labeled problem and obtain optimal features in a low dimensional space which are fed into another classification algorithm. Extensive experimental results in text categorization are presented comparing with other dimension reduction methods and multi-label classification algorithms.
The influence of liver fat deposition on the quantification of the liver-iron fraction using fast-kilovolt-peak switching dual-energy CT imaging and material decomposition technique: an in vitro experimental study.

Background To assess the feasibility of dual-energy spectral computed tomography (DECT) for quantifying the liver iron content (LIC) with material decomposition (MD) technique in vitro. Methods Liver-iron mixture samples (model A) and liver-iron-fat mixture samples (model B) were prepare and scanned by a single source DECT using GSI mode with successive tube currents of 200, 320, and 485 mA. A standard algorithm of 1.25 mm was used to reconstruct iron (fat) MD images and iron (water) MD images. The iron concentrations of all samples were measured and analyzed by Spearman's rank correlation and linear regression analysis. Results Significant positive linear correlations were found between virtual iron content (VIC) and LIC in the absence of fat (model A) and in the presence of fat (model B) in the range of LIC 0 to 25 mg/mL. The lines of best fit to model A had slopes around 1.1 and an intercept around (-1.5) mg/mL for iron (water) MD images, and had slopes around 1.1 and an intercept around (-10) mg/mL for iron (fat) MD images. The lines of best fit to the model B had slopes around 1.5 and an intercept around (-15) mg/mL. At the same value of LIC (LIC >0), the VIC values of model A were always higher than those of model B. At the high value of LIC (12.5 mg/mL), the VIC values of model B were similar, but they differed greatly from those of model A. Conclusions The fast-kilovolt-peak switching dual-energy CT imaging and MD techniques allow for quantification of iron content. Fat and the post-reconstruction algorithm of iron (fat) MD images, were confounding factors, and led to the underestimation and overestimation of LIC, respectively.
The Influence of Electronic Word of Mouth via Social Networking Sites on the Socialization of College-Aged Consumers

Abstract Because college-aged individuals heavily use social networking sites (SNSs), this study investigates the inclusion of electronic word of mouth (eWOM) on SNSs using consumer socialization theory (CST). In addition, we also examine gender and the continuing influence of family members and peers on individuals’ attitudes toward and purchase intentions for products reviewed on SNSs. Survey results suggest that, compared to men, women rely more often on family members and eWOM on SNSs to gain product information, and women also have more positive attitudes toward products reviewed on SNSs. In addition, purchase intention is based on attitude, peer communication, and eWOM on SNSs. Novel insights include the influence of eWOM on SNSs through the consumer socialization process, which has been found to impact today’s consumer.
Responding - or Not - to Information Technology Project Risks: An Integrative Model

This study proposes and tests a model that explains and predicts risk response decisions of IT project managers (ITPMs), blending the domains of the theory of planned behavior (TPB) and behavioral decision theories, and leveraging IT project risk management behavioral research. The model posits that a risk response decision is indirectly influenced by perceived risk exposure via overall risk response attitude. The model conceptualizes perceived risk exposure and overall risk response attitude as second-order constructs and examines the dimension-level relationships within each. The model hypothesizes that a risk response decision is also influenced by pressures ITPMs perceive for or against enacting a specific risk response, by a negative synergy effect between overall risk response attitude and perceived pressures, and by their perception of control—or lack thereof—over enacting the risk response. The model was instantiated for three specific risk responses: having user representatives as team members, appreciating team members’ work in a tangible way during the project, and dedicating much effort to planning. Each model instance was tested in a separate survey (N > 111 per survey, total N = 349). The results support the hypotheses, except for the influence of perceived control, which varied across instantiations of risk responses. Among other antecedents, overall risk response attitude is found to have the strongest effect on risk response decisions. The findings stress the effect of ITPMs’ salient beliefs about specific risk responses on their decision to enact a given response and thus pave the way for designing behavior change interventions.
A pr 2 00 4 ISOLATED MODES AND PERCOLATION IN LATTICE DYNAMICS OF ( Be , Zn )

A mixed II-VI semiconductor Zn1−xBexSe possesses non-trivial vibration properties, because its two constituent compounds, ZnSe and BeSe, show very different degree of covalency and hence high elastic contrast. An anomalous Be-Se vibration line has been observed mostly at intermediate Be content in the Raman spectra of thin (Zn,Be)Se films. In order to explain microscopic origins and the detailed composition of these lines, a first-principles calculation of vibration frequencies in a mixed crystal has been done, with frozen-phonon technique and supercell setup within the density functional theory, by the Siesta method, which uses norm-conserving pseudopotentials and strictly localized numerical basis functions. The calculations confirmed an earlier assumption that the anomalous Be-Se line appears due to the formation of continuous chains of a more rigid Be-rich pseudo-continuous phase formed within the more soft Zn-rich host region on crossing the Be-Se bond percolation threshold (x ∼ 0.19). Different local deformation in percolated and non-percolated regions affect interatomic elastic interactions and split corresponding vibration lines. Besides confirming the percolation model qualitatively, the calculation provides details about vibration patterns in different phonon modes.
Clostripain, the Missing Link in the Enzyme Blend for Efficient Human Islet Isolation

Background Effective digestive enzymes are crucial for successful islet isolation. Supplemental proteases are essential as they synergize with collagenase for effective pancreas digestion. The presence of tryptic-like activity has been implicated in efficient enzyme blends and the present study aimed to evaluate if addition of clostripain, an enzyme with tryptic-like activity, could improve efficacy of the islet isolation procedure. Methods Clostripain was added to the enzyme blend just before pancreas perfusion. Islets were isolated per standard method and numerous isolation parameters, islet quality control, and the number of isolations fulfilling standard transplantation criteria were evaluated. Two control organs per clostripain organ were chosen by blindly matching against body mass index, cold ischemia time, hemoglobin A1c, donor sex, and donor age. Results There were no differences in pancreas weight, dissection time, digestion time, harvest time, percent digested pancreas, or total pellet volume before islet purification between control or clostripain pancreases. Glucose-stimulated insulin release results were similar between groups. Total isolation islet equivalents, purified tissue volume and islet equivalents/g pancreas as well as fulfillment of transplantation criteria favored clostripain processed pancreases. Conclusions The addition of clostripain to the enzyme blend soundly improved islet yields and transplantation rates. It gently aided pancreas digestion and maintained proper islet functionality. The addition of clostripain to the enzyme blend has now been implemented into standard isolation protocols at the isolation centers in Uppsala and in Oslo.
Hierarchical Classification for Spoken Arabic Dialect Identification using Prosody: Case of Algerian Dialects

In daily communications, Arabs use local dialects which are hard to identify automatically using conventional classification methods. The dialect identification challenging task becomes more complicated when dealing with an under-resourced dialects belonging to a same county/region. In this paper, we start by analyzing statistically Algerian dialects in order to capture their specificities related to prosody information which are extracted at utterance level after a coarse-grained consonant/vowel segmentation. According to these analysis findings, we propose a Hierarchical classification approach for spoken Arabic algerian Dialect IDentification (HADID). It takes advantage from the fact that dialects have an inherent property of naturally structured into hierarchy. Within HADID, a top-down hierarchical classification is applied, in which we use Deep Neural Networks (DNNs) method to build a local classifier for every parent node into the hierarchy dialect structure. Our framework is implemented and evaluated on Algerian Arabic dialects corpus. Whereas, the hierarchy dialect structure is deduced from historic and linguistic knowledges. The results reveal that within {\HD}, the best classifier is DNNs compared to Support Vector Machine. In addition, compared with a baseline Flat classification system, our HADID gives an improvement of 63.5% in term of precision. Furthermore, overall results evidence the suitability of our prosody-based HADID for speaker independent dialect identification while requiring less than 6s test utterances.
Clairvoyant-push: A real-time news personalized push notifier using topic modeling and social scoring for enhanced reader engagement

Push Notification (PN) and Personalized Push Notifications (PPN) are key contemporary topics in mobile app industry today. Push notifications provide a viable content recommendation channel which complements in-app recommendation in mobile apps. There are existing algorithms for in-app content recommendation, however, the PN based recommendation systems are still under research. In this paper, we present "Clairvoyant-Push" - a novel Personalized Push Notification system based on user segmentation and social scoring. User segmentation is done by using the Latent Dirichlet Allocation (LDA) based topic modeling. Moreover, social scoring is used to assign score to each articles to filter out the quality news content for each segments. We have deployed and tested our proposed system using A/B testing framework. The results show an average of 89% lift in opening rate compared to the control group. Further, the results indicate that our system is outperforming with an opening rate of 1012% compared to the industry standard personalised push opening rate of 6-8%.
Two faces of electronic Word-of-Mouth: The qualitative approach of amplified e-WOM

In tourism industry the competition is increasing, thus the companies need to find a new way of attracting more customers. One of the newest trend is amplified electronic word of mouth where companies are using social media platforms as part of their strategies. Even though in some of the sectors is popular, it is not clear if it is used in tourism. By creating questionnaire, we conduct 30 replies from hotels in Mallorca. The results show that indeed amplified e-WOM is popular and important for the companies, however only a few are implementing it in their strategies in any other form except of the classic Facebook or Twitter page. The results demonstrate that the hotel industry has gap in using e-WOM in his full capacity. Therefore, in this paper implications for the industry will be discussed.