Miracle-dz/UniFAR-FTUs huggingface dataset:
Deception detection: State of the art and future prospects

Background: Deception detection has been a longstanding concern throughout human history. It has also interested scientists, who have explored psychological and behavioral differences between liars and truth tellers, as well as ways to improve detection accuracy. Method: In recent years, substantial advances have been made in the field. Some of these advances are briefly reviewed in the current article. Results: A description is provided of (a) research and contemporary theories on how people (try to) detect deception; (b) recent advances on strategic interviewing to detect deception; (c) the integrative findings of recent meta‐analyses on systematic verbal lie detection approaches; and (d) several important aspects concerning psychophysiological detection of deception. Also, some emerging trends and research needs for the future are outlined at the end of the article. Conclusions: Deception detection research is a lively and dynamic area of applied psychology that has experienced substantial developments in recent times. Much (though not all) of these research efforts have focused on developing empirically‐based lie‐detection procedures to be used by practitioners (e.g., the police) in applied settings. A number of new topics are just starting to be examined. These novel research avenues will surely yield interesting new findings in the future. &NA; Detección de mentiras: estado de la cuestión y perspectivas de futuro. Antecedentes: la detección de mentiras ha interesado a la humanidad a lo largo de la historia. También a los científicos, quienes han explorado diferencias psicológicas y conductuales al mentir vs. decir la verdad, así como modos de aumentar la precisión de la detección. Método: recientemente se han hecho avances sustanciales en esta área. En el presente artículo se revisan algunos de ellos. Resultados: se describen (a) las investigaciones y teorías contemporáneas sobre cómo la gente (intenta) detecta(r) mentiras; (b) los avances en procedimientos estratégicos de entrevista para detectar mentiras; (c) los hallazgos de meta‐análisis recientes sobre aproximaciones sistemáticas para la detección verbal del engaño; y (d) algunos aspectos importantes de la detección psicofisiológica de la mentira. Al final del artículo se esbozan algunas tendencias emergentes y necesidades de investigación de cara al futuro. Conclusiones: el área de investigación de la detección de mentiras ha experimentado grandes desarrollos en tiempos recientes. A menudo (aunque no siempre) se ha centrado en desarrollar procedimientos de detección de mentiras de base empírica para su utilización en contextos aplicados (p. ej., por la policía). Algunas vías de indagación novedosas están empezando a explorar temas nuevos y, seguramente, darán lugar a futuros hallazgos nuevos e interesantes.
2018-00516-[ CORDIS 2018-NEO ] Distributed Optimization for Large-scale Statistical Modeling

Le centre Inria Sophia Antipolis Méditerranée compte 37 équipes de recherche, ainsi que 9 services d’appui à la recherche. Le personnel du centre (600 personnes environ dont 400 salariés Inria) est composé de scientifiques de différentes nationalités (250 personnes étrangères sur 50 nationalités), d’Ingénieurs, de Techniciens et d’Administratifs. 1/3 du personnel est fonctionnaire, les autres sont contractuels. La majorité des équipes de recherche du centre sont localisées à Sophia Antipolis et Nice dans les Alpes-Maritimes. Six équipes sont implantées à Montpellier et une équipe est hébergée par le département d'informatique de l'université de Bologne en Italie. Le Centre est membre de la Communauté d’Université et d’Établissement (ComUE) « Université Côte d’Azur (UCA) ».
Formulation and Evaluation of Baclofen Orally Disintegrating Tablets

The purpose of this study was to evaluate the potential of polymers for masking the taste of bitter drugs when incorporated into orally disintegrating tablets. The tablets were produced by simple wet granulation technique with a model compound (baclofen) which is moderately bitter. The formulating procedure had two variables to obtain good taste masking with desirable characteristics. The optimal granulation process parameters were polymer selection and its concentration (w/w), suitable for pilot scale level. Dextrates, β- cyclodextrin, eudragit EPO and PVP K-30 were used in preparation of granules by using water and iso-propyl alcohol. Crospovidone was used intra and extra granularly as superdisintegrant. Sodium bicarbonate and citric acid were used as effervescent for fast disintegration of tablets, which also optionally act as desensitizer of taste buds. Results from evaluation of tablets indicated a disintegration time (avg) of 30-35 sec and 100% drug release was achieved within 5 min. But taste masking was achieved by only with eudragit EPO. Results from an evaluation by a panel of six human volunteers demonstrated that the orally disintegrating tablets which are prepared by using polymer Eudragit EPO (5% and 7.5% w/w of tablet) and PVP (7.5% w/w of tablet) improved taste, significantly. On studying physical parameters, F9 formulation demonstrated acceptable level of hardness and friability with good taste masking and it was thus considered as an optimized formulation.
Membrane turnover in rod photoreceptors: ensheathment and phagocytosis of outer segment distal tips by pseudopodia of the retinal pigment epithelium

We have documented the ultrastructural changes that occur within the photoreceptor outer segment and the retinal pigment epithelium (rpe) during photosensitive membrane turnover. We employed an in vitro eyecup preparation from Xenopus laevis in which a large shedding event was induced by adding the excitatory amino acid l-aspartate (Green-berger & Besharse I985; J . comp. Neurol. 239. 361-372). We found that during L-aspartate-induced shedding the rpe cells formed. on their apical domains, previously undescribed processes that were directly involved in disc phagocytosis. These processes are structurally similar to processes formed by macrophages during phagocytosis and are accordingly referred to as pseudopodia. Pseudopodia were distinguishable from the apical villous process normally extended from the rpe in that they were closely applied to the surface of the outer segment, had a cytoplasmic matrix of low electron density that was devoid of most cellular organelles and were enriched in thin (7 nm diameter) filaments. Filament size, specific pseudopodial staining with the actin-specific probe rhodamine phalloidin and inhibition of pseudopod formation by cytochalasin D suggested that the thin filaments were composed of actin. Pseudopodial formation also occurs during a normal light-initiated shedding event. However, the low frequency of shedding, the asynchrony of the individual shedding events and the transient appearance of the pseudopodia prevented a full appreciation of their role during normal disc shedding. Associated with massive shedding and pseudopodial formation, there was an increased adherence between retina and rpe. During l-aspartate treatment, the apical portions of the rpe cells partitioned with the distal outer segment during retinal isolation. This effect was directly related to the development of pseudopodia and may reflect alteration of surface features of the rod outer segment (ros)-rpe interface related to phagocytosis. Our observations show that transiently forming pseudopodia are the organelles of phagocytosis and that they may play a role in disc detachment as well.
An enhanced Java graph applet interface for visualizing interactomes

UNLABELLED We have developed several new navigation features for a Java graph applet previously released for visualizing protein-protein interactions. This graph viewer can be used to navigate any molecular interactome dataset. We have successfully implemented this tool for exploring protein networks stored in the Bioverse interaction database. AVAILABILITY http://bioverse.compbio.washington.edu/viewer CONTACT ram@compbio.washington.edu.
The Impact of Melatonin on Colon Cancer Cells’ Resistance to Doxorubicin in an In Vitro Study

Multi-drug resistance (MDR) is the main cause of low effectiveness of cancer chemotherapy. P-glycoprotein (P-gp) is one of the main factors determining MDR. Some studies indicate the potential role of melatonin (MLT) in MDR. In this study, we examined the effect of MLT on colon cancer cell’s resistance to doxorubicin (DOX). Using the sulforhodamine B (SRB), method the effect of tested substances on the survival of LoVo (colon cancer cells sensitive to DOX) and LoVoDX (colon cancer cells resistant to DOX) was rated. Using immunocytochemistry (ICC), the expression of P-gp in the LoVo and LoVoDX was determined. With the real-time PCR (RT-PCR) technique, the ABCB1 expression in LoVoDX was evaluated. Based on the results, it was found that MLT in some concentrations intensified the cytotoxicity effect of DOX in the LoVoDX cells. In the ICC studies, it was demonstrated that certain concentrations of MLT and DOX cause an increase in the percentage of cells expressing P-gp, which correlates positively with ABCB1 expression (RT-PCR). The mechanism of overcoming resistance by MLT is probably not only associated with the expression of P-gp. It seems appropriate to carry out further research on the use of MLT as the substance supporting cancer chemotherapy.
Genome‐wide analysis of adolescent psychotic‐like experiences shows genetic overlap with psychiatric disorders

This study aimed to test for overlap in genetic influences between psychotic experience traits shown by adolescents in the community, and clinically-recognized psychiatric disorders in adulthood, specifically schizophrenia, bipolar disorder, and major depression. The full spectra of psychotic experience domains, both in terms of their severity and type (positive, cognitive, and negative), were assessed using self- and parent-ratings in three European community samples aged 15-19 years (Final N incl. siblings = 6,297-10,098). A mega-genome-wide association study (mega-GWAS) for each psychotic experience domain was performed. SNP-heritability of each psychotic experience domain was estimated using genomic-relatedness-based restricted maximum-likelihood (GREML) and linkage disequilibrium-(LD-) score regression. Genetic overlap between specific psychotic experience domains and schizophrenia, bipolar disorder, and major depression was assessed using polygenic risk scoring (PRS) and LD-score regression. GREML returned SNP-heritability estimates of 3-9% for psychotic experience trait domains, with higher estimates for less skewed traits (Anhedonia, Cognitive Disorganization) than for more skewed traits (Paranoia and Hallucinations, Parent-rated Negative Symptoms). Mega-GWAS analysis identified one genome-wide significant association for Anhedonia within IDO2 but which did not replicate in an independent sample. PRS analysis revealed that the schizophrenia PRS significantly predicted all adolescent psychotic experience trait domains (Paranoia and Hallucinations only in non-zero scorers). The major depression PRS significantly predicted Anhedonia and Parent-rated Negative Symptoms in adolescence. Psychotic experiences during adolescence in the community show additive genetic effects and partly share genetic influences with clinically-recognized psychiatric disorders, specifically schizophrenia and major depression.
The evolution of floral sonication, a pollen foraging behavior used by bees (Anthophila)

Over 22,000 species of biotically pollinated flowering plants, including some major agricultural crops, depend primarily on bees capable of floral sonication for pollination services. The ability to sonicate (“buzz”) flowers is widespread in bees but not ubiquitous. Despite the prevalence of this pollinator behavior and its importance to natural and agricultural systems, the evolutionary history of floral sonication in bees has not been previously studied. Here, we reconstruct the evolutionary history of floral sonication in bees by generating a time‐calibrated phylogeny and reconstructing ancestral states for this pollen extraction behavior. We also test the hypothesis that the ability to sonicate flowers and thereby efficiently access pollen from a diverse assemblage of plant species, led to increased diversification among sonicating bee taxa. We find that floral sonication evolved on average 45 times within bees, possibly first during the Early Cretaceous (100–145 million years ago) in the common ancestor of bees. We find that sonicating lineages are significantly more species rich than nonsonicating sister lineages when comparing sister clades, but a probabilistic structured rate permutation on phylogenies approach failed to support the hypothesis that floral sonication is a key driver of bee diversification. This study provides the evolutionary framework needed to further study how floral sonication by bees may have facilitated the spread and common evolution of angiosperm species with poricidal floral morphology.
Post-Quantum Group Signatures from Symmetric Primitives Dan

Group signatures are used extensively for privacy in anonymous credentials schemes and in real-world systems for hardware enclave attestation. As such, there is a strong interest in making these schemes post-quantum secure. In this paper we initiate the study of group signature schemes built only from symmetric primitives, such as hash functions and PRFs, widely regarded as the safest primitives for post-quantum security. We present two constructions in the random oracle model. The first is a group signature scheme satisfying the EPID group signature syntax and security definitions needed for private hardware attestation used in Intel’s SGX. The second achieves significantly shorter signatures for many applications, including the use case of remote hardware attestation. While our group signatures for attestation are longer than standard (nongroup) post-quantum signatures, they are short enough for applications where the data being signed is large, such as analytics on large private data sets, or streaming media to a trusted display. We evaluate several instantiations of our schemes so that the costs and benefits of these constructions are clear. Along the way we also give improvements to the zero-knowledge Merkle inclusion proofs of Derler et al. (2017).
High-carbohydrate, high-fiber diets increase peripheral insulin sensitivity in healthy young and old adults.

To examine extra-alimentary effects of high-carbohydrate, high-fiber (HCF) diets, insulin-mediated glucose disposal employing the euglycemic clamp and hepatic glucose output (HGO) employing [6,6-2H2]glucose were measured in 12 healthy young and old individuals before and after 21-28 d of an HCF diet. Diet lowered fasting concentrations of glucose from 5.3 +/- 0.2 to 5.1 +/- 0.1 mmol/L (p less than 0.01) and insulin from 66.0 +/- 7.9 to 49.5 +/- 5.7 pmol/L (p less than 0.01). Fasting serum cholesterol decreased from 5.17 +/- 0.18 to 3.80 +/- 0.20 mmol/L (p less than 0.01) in young individuals and from 6.15 +/- 0.52 to 4.99 +/- 0.49 mmol/L (p less than 0.01) in elderly individuals. Fasting serum triglyceride concentrations, basal HGO, and insulin suppression of HGO were unchanged by the diet. Glucose disposal rates increased from 18.87 +/- 1.66 before 23.87 +/- 2.78 mumol.kg-1.min-1 after the diet (p less than 0.02). Therefore, HCF diets may improve carbohydrate economy by enhanced peripheral sensitivity to insulin.
Krox20 defines a subpopulation of cardiac neural crest cells contributing to arterial valves and bicuspid aortic valve

Although cardiac neural crest cells are required at early stages of arterial valve development, their contribution during valvular leaflet maturation remains poorly understood. Here, we show in mouse that neural crest cells from pre-otic and post-otic regions make distinct contributions to the arterial valve leaflets. Genetic fate-mapping analysis of Krox20-expressing neural crest cells shows a large contribution to the borders and the interleaflet triangles of the arterial valves. Loss of Krox20 function results in hyperplastic aortic valve and partially penetrant bicuspid aortic valve formation. Similar defects are observed in neural crest Krox20-deficient embryos. Genetic lineage tracing in Krox20−/− mutant mice shows that endothelial-derived cells are normal, whereas neural crest-derived cells are abnormally increased in number and misplaced in the valve leaflets. In contrast, genetic ablation of Krox20-expressing cells is not sufficient to cause an aortic valve defect, suggesting that adjacent cells can compensate this depletion. Our findings demonstrate a crucial role for Krox20 in arterial valve development and reveal that an excess of neural crest cells may be associated with bicuspid aortic valve. Summary: Genetic fate-mapping identifies the contribution of a Krox20-positive neural crest cell population during arterial valve development. An excess of these cells results in aortic valve defects, including bicuspid aortic valve – the most common heart disease.
Understanding Organizational Creativity: Relationships among Cross-level Variables and Creativity in Research and Development Organizations

We examined the association of creativity with creative personality, domain expertise, non-controlling supervision, and organizational learning culture, as well as cross-level interactions in R&D organizations. Using HLM, domain expertise and non-controlling supervision were found to be positively associated with creativity. Practical implications and recommendations for further research are provided. Employee creativity has received substantial attention in the literature for the role that it plays, particularly in research and development (R&D) organizations that consider employee creativity as the lifeblood for their survival (McLean, 2011). However, the majority of scholars have investigated this phenomenon primarily at the individual level: “The major focus in creativity research has been on the individual creator and his or her personality, traits, abilities, experiences, and thought processes” (Williams & Yang, 1999, p. 378). It has been only recently that more scholars have turned their focus to the influence of organizational context on employee creativity: “The social environment can influence both the level and frequency of creative behavior” (Amabile, Conti, Coon, Lazenby, & Herron, 1996, p. 1155). Employee creativity should not be understood as an individual behavior that is a part of a person’s characteristics or abilities but as a complex phenomenon that is influenced by organizational contexts, such as supervisor’s leadership style or organizational climate (McLean, 2011). As the current study incorporates multiple variables at different levels of organizations that might influence employee creativity, it contributes to expanding the knowledge base about creativity. Purpose, Research Questions, and Hypotheses The purpose of this study was to examine the associations among four variables (i.e., domain expertise, creative personality, non-controlling supervision style, and organizational learning culture) to understand how creativity is related to each variable, as well as the crosslevel interactions. Research questions were: 1. What are the associations between supervisor rating of employee creativity in R&D organizations and individual-level variables (i.e., personality and expertise) and team-level variables (i.e., supervision style and organizational learning culture)? 2. Do team-level variables moderate the associations between supervisor rating of employee creativity and individual-level variables? The following hypotheses were tested: Hypothesis 1: Creative personality is positively associated with employee creativity. Hypothesis 2: Domain expertise is positively associated with employee creativity. Hypothesis 3a: Non-controlling supervision is positively associated with employee creativity. Hypothesis 3b: The strength of the relationship between creative personality and creativity
Vehicle Mode and Driving Activity Detection Based on Analyzing Sensor Data of Smartphones

In this paper, we present a flexible combined system, namely the Vehicle mode-driving Activity Detection System (VADS), that is capable of detecting either the current vehicle mode or the current driving activity of travelers. Our proposed system is designed to be lightweight in computation and very fast in response to the changes of travelers’ vehicle modes or driving events. The vehicle mode detection module is responsible for recognizing both motorized vehicles, such as cars, buses, and motorbikes, and non-motorized ones, for instance, walking, and bikes. It relies only on accelerometer data in order to minimize the energy consumption of smartphones. By contrast, the driving activity detection module uses the data collected from the accelerometer, gyroscope, and magnetometer of a smartphone to detect various driving activities, i.e., stopping, going straight, turning left, and turning right. Furthermore, we propose a method to compute the optimized data window size and the optimized overlapping ratio for each vehicle mode and each driving event from the training datasets. The experimental results show that this strategy significantly increases the overall prediction accuracy. Additionally, numerous experiments are carried out to compare the impact of different feature sets (time domain features, frequency domain features, Hjorth features) as well as the impact of various classification algorithms (Random Forest, Naïve Bayes, Decision tree J48, K Nearest Neighbor, Support Vector Machine) contributing to the prediction accuracy. Our system achieves an average accuracy of 98.33% in detecting the vehicle modes and an average accuracy of 98.95% in recognizing the driving events of motorcyclists when using the Random Forest classifier and a feature set containing time domain features, frequency domain features, and Hjorth features. Moreover, on a public dataset of HTC company in New Taipei, Taiwan, our framework obtains the overall accuracy of 97.33% that is considerably higher than that of the state-of the art.
Local Thermal Expansion of Workpiece under Grinding

In grinding, surface layer of a workpiece is highly heated in the interference zone between a grinding wheel and the workpiece. Therefore, the workpiece expands with heat around the grinding point. In this paper, theoretical equations of the temperature distribution and the local thermal expansion are obtained by applying Jaeger's heat transfer theory involving a moving heat source. Furthermore the new method to measure the local thermal expansion is proposed. Consequentry, the theoretical and the experimental results of the thermal expansion are in fairly good agreement, and the derived local thermal expansion has significant effect on the contour of the interference zone and the grinding accuracy.