Miracle-dz/UniFAR-FTUs huggingface dataset:
Visual Observation of Human Emotions

In this thesis we focus on the development of methods and techniques to infer affect from visual information. We focus on facial expression analysis since the face is one of the least occluded parts of the body and facial expressions are one of the most visible manifestations of affect. We explore the different psychological theories on affect and emotion, different ways to represent and classify emotions and the relationship between facial expressions and underlying emotions. We present the use of multiscale Gaussian derivatives as an image descriptor for head pose estimation, smile detection before using it for affect sensing. Principal Component Analysis is used for dimensionality reduction while Support Vector Machines are used for classification and regression. We are able to employ the same, simple and effective architecture for head pose estimation, smile detection and affect sensing. We also demonstrate that not only do multiscale Gaussian derivatives perform better than the popular Gabor Filters but are also computationally less expensive to compute. While performing these experiments we discovered that multiscale Gaussian derivatives do not provide an appropriately discriminative image description when the face is only partly illuminated. We overcome this problem by combining Gaussian derivatives with Local Binary Pattern (LBP) histograms. This combination helps us achieve state-of-the-art results for smile detection on the benchmark GENKI database which contains images of people in the "wild" collected from the internet. We use the same description method for face recognition on the CMU-PIE database and the challenging extended YaleB database and our results compare well with the state-of-the-art. In the case of face recognition we use metric learning for classification, adopting the Minkowski distance as the similarity measure. We find that L1 and L2 norms are not always the optimum distance metrics and the optimum is often an Lp norm where p is not an integer. Lastly we develop a multi-modal system for depression estimation with audio and video information as input. We use Local Binary Patterns -Three Orthogonal Planes (LBP-TOP) features to capture intra-facial movements in the videos and dense trajectories for macro movements such as the movement of the head and shoulders. These video features along with Low Level Descriptor (LLD) audio features are encoded using Fisher Vectors and finally a Support Vector Machine is used for regression. We discover that the LBP-TOP features encoded with Fisher Vectors alone are enough to outperform the baseline method on the Audio Visual Emotion Challenge (AVEC) 2014 database. We thereby present an effective technique for depression estimation which can be easily extended for other slowly varying aspects of emotions such as mood.
Interleukin 15 offers selective protection from irinotecan-induced intestinal toxicity in a preclinical animal model.

Irinotecan (CPT-11) is a chemotherapeutic agent that is active in the treatment of a variety of solid tumor malignancies. Diarrhea represents the most common dose-limiting toxicity that is independent of the schedule of administration. A rat model with dose-limiting toxicity profiles that are similar to those observed in patients treated with CPT-11 was developed and used to evaluate the role of interleukin 15 (IL-15) in the modulation of the therapeutic selectivity of CPT-11 in normal rats and rats bearing advanced colorectal cancer. The maximum tolerated dose and lethal dose (LD) of CPT-11 by i.v. push daily x 3 were 150 and 200 mg/kg/day, respectively. CPT-11 at the LD induced a 93-100% incidence of severe diarrhea and an 86-100% incidence of lethality in treated animals. IL-15, a cytokine with multiple mechanisms of action, was used at a 100 or 400 microg/kg/dose with different schedules of administration (3, 8, and 11 doses, i.p.) to protect against CPT-11-induced toxicity. IL-15 offered complete and sustained selective protection against CPT-11-induced delayed diarrhea and lethality. IL-15 also moderately potentiated the antitumor activity of CPT-11 in rats bearing advanced colorectal cancer. Morphological examination of rat intestinal tissues after treatment with LD of CPT-11 revealed dramatic protection of duodenal and colonic tissue architecture by IL-15. CPT-11 alone produced serious damage to duodenal villi and colonic crypts. The results clearly demonstrated the ability of IL-15 to provide significant protection from CPT-11-induced intestinal toxicity with maintenance of antitumor activity, resulting in an increase in the therapeutic index of CPT-11. The clinical relevance of the results obtained in this model system needs to be confirmed.
Effects of multi-talker background noise on the intensity of spoken sentences in parkinson's disease

The relationship between speech intensity and background noise in individuals with hypophonia and Parkinson's disease (PD) was analyzed. Ten idiopathic PD subjects with hypophonia and 10 age-equivalent controls were studied. A multi-talker noise was presented randomly to each subject in five dB increments ranging from 50-70 dB. It was found that subjects with PD show a systematic increase in speech intensity across increases in background noise.
Species identification of Chlamydia isolates by analyzing restriction fragment length polymorphism of the 16S-23S rRNA spacer region

The genetic diversity of the 16S-23S rRNA spacer region of 12 Chlamydia pneumoniae isolates, 7 Chlamydia trachomatis isolates (human biovars: the trachoma serovars B and C, the urogenital serovars D, E, and F, and the lymphogranuloma venereum serovar L2; and a mouse biovar), 6 Chlamydia psittaci isolates (5 avian isolates and 1 feline isolate), and one Chlamydia pecorum isolate was studied. The 16S-23S rRNA spacer region was amplified by PCR and digested with the restriction enzymes MseI, PstI, AluI, BglII, NlaIV, and BclI. All 26 isolates could be amplified by using one genus-specific primer pair, yielding an amplicon with a size of 803 bp. The analytical sensitivity of the PCR assay was < or = 100 inclusion-forming units per reaction. Digestion with MseI or AluI made it possible to differentiate the four species from each other, the C. trachomatis human biovars from the mouse biovar, and the C. psittaci avian isolates from the feline isolate. The MseI profiles were more distinct than the AluI profiles. Phylogenetic analysis of the results for all enzymes combined supported the current classification of four Chlamydia species: C. pneumoniae, C. trachomatis, C. psittaci, and C. pecorum. Phylogenetic analysis also suggested subdivision of isolates of C. trachomatis and C. psittaci into subgroups that coincide with their host range. In conclusion, we have developed an easy and rapid method for species and subspecies identification of Chlamydia based on restriction fragment length polymorphism analysis of the 16S-23S rRNA spacer region.
Faceted identity, faceted lives: social and technical issues with being yourself online

This paper explores key issues people experience managing personal boundaries within and across social technologies. We look in particular at email and online social networks. We offer a theoretical framework for understanding the errors in assumptions about the singularity of identity that are currently inscribed into the sharing models of social technology systems. Through a questionnaire study we examine how people facet their identities and their lives, and how these facets are expressed through use of email and Facebook. We found family was an extremely important context for sharing online, and that email was still a preferred form of communication for private sharing across facets of life. Single, working men had the highest level of incompatible facets, and a higher level of facet incompatibility was correlated with increased email usage and worry about sharing in the context of social networks.
Listeria monocytogenes 10403S Arginine Repressor ArgR Finely Tunes Arginine Metabolism Regulation under Acidic Conditions

Listeria monocytogenes is able to colonize human and animal intestinal tracts and to subsequently cross the intestinal barrier, causing systemic infection. For successful establishment of infection, L. monocytogenes must survive the low pH environment of the stomach. L. monocytogenes encodes a functional ArgR, a transcriptional regulator belonging to the ArgR/AhrC arginine repressor family. We aimed at clarifying the specific functions of ArgR in arginine metabolism regulation, and more importantly, in acid tolerance of L. monocytogenes. We showed that ArgR in the presence of 10 mM arginine represses transcription and expression of the argGH and argCJBDF operons, indicating that L. monocytogenes ArgR plays the classical role of ArgR/AhrC family proteins in feedback inhibition of the arginine biosynthetic pathway. Notably, transcription and expression of arcA (encoding arginine deiminase) and sigB (encoding an alternative sigma factor B) were also markedly repressed by ArgR when bacteria were exposed to pH 5.5 in the absence of arginine. However, addition of arginine enabled ArgR to derepress the transcription and expression of these two genes. Electrophoretic mobility shift assays showed that ArgR binds to the putative ARG boxes in the promoter regions of argC, argG, arcA, and sigB. Reporter gene analysis with gfp under control of the argG promoter demonstrated that ArgR was able to activate the argG promoter. Unexpectedly, deletion of argR significantly increased bacterial survival in BHI medium adjusted to pH 3.5 with lactic acid. We conclude that this phenomenon is due to activation of arcA and sigB. Collectively, our results show that L. monocytogenes ArgR finely tunes arginine metabolism through negative transcriptional regulation of the arginine biosynthetic operons and of the catabolic arcA gene in an arginine-independent manner during lactic acid-induced acid stress. ArgR also appears to activate catabolism as well as sigB transcription by anti-repression in an arginine-dependent way.
Differentiating Glaucomatous from Non-Glaucomatous Optic Nerve Cupping by Optical Coherence Tomography

Background: In clinical practice, the differentiation of glaucomatous from non-glaucomatous cupping can be difficult, even for experienced observers. The purpose of this study was to evaluate the role of optical coherence tomography (OCT) in differentiating glaucomatous from non-glaucomatous optic nerve cupping in a cross-sectional pilot study. Methods: Eleven consecutive patients presenting to the Duke Eye Center from September 2007 to July 2008 with non-glaucomatous optic nerve cupping and 12 patients with glaucomatous optic nerve cupping were identified. All patients underwent Stratus® OCT imaging: fast macular map, fast retinal nerve fiber layer (RNFL) 3.4 thickness, and fast optic disc protocols. Automated visual field perimetry was performed on the date of OCT scan in non-glaucomatous cupping patients, and from 0-9 months of scan date in glaucoma patients. Eyes were matched by optic nerve cup-to-disc area ratio; average and mean deviation were calculated for each variable. Results: For a similar average RNFL, patients with non-glaucomatous optic nerve cupping had lower nasal and temporal RNFL thickness, as well as lower macular thickness and volume compared to patients with glaucomatous optic nerve cupping. Conclusion: OCT appears to be a useful technology in differentiating glaucomatous from non-glaucomatous optic nerve cupping. The pattern of RNFL loss appears more diffuse in non-glaucomatous optic nerve cupping compared to glaucomatous optic nerve cupping. Future studies with larger sample size and specific neuro-ophthalmic causes of optic nerve cupping may further elucidate the role of OCT in this clinical setting.
Multiple Pathways Promote Short-Sequence Recombination in Saccharomyces cerevisiae

ABSTRACT In the budding yeast Saccharomyces cerevisiae, null alleles of several DNA repair and recombination genes confer defects in recombination that grow more severe with decreasing sequence length, indicating that they are required for short-sequence recombination (SSR). RAD1 and RAD10, which encode the subunits of the structure-specific endonuclease Rad1/10, are critical for SSR. MRE11, RAD50, and XRS2, which encode the subunits of M/R/X, another complex with nuclease activity, are also crucially important. Genetic evidence suggests that Rad1/10 and M/R/X act on the same class of substrates during SSR. MSH2 and MSH3, which encode subunits of Msh2/3, a complex active during mismatch repair and recombination, are also important for SSR but play a more restricted role. Additional evidence suggests that SSR is distinct from nonhomologous end joining and is superimposed upon basal homologous recombination.
Hydroxychloroquine decreases Th17-related cytokines in systemic lupus erythematosus and rheumatoid arthritis patients

OBJECTIVES: Hydroxychloroquine is an antimalarial agent that has been used in systemic lupus erythematosus and rheumatoid arthritis treatment for many years. Recently, novel mechanisms of action have been proposed, thereby broadening the therapeutic perspective of this medication. The purpose of this study was to evaluate the immunomodulatory activity of hydroxychloroquine in T helper 17 (Th17) cytokines in healthy individuals and patients. METHODS: Eighteen female patients with systemic lupus erythematosus (mean age 39.0±12.9 years) and 13 female patients with rheumatoid arthritis (mean age 51.5±7.7 years) were recruited from Universidade Federal de Pernambuco-Brazil. The patients were included after fulfilling four classification criteria for systemic lupus erythematosus or rheumatoid arthritis from the American College of Rheumatology. After being stimulated with phorbol 12-myristate 13-acetate and ionomycin in the absence or presence of different concentrations of hydroxychloroquine, the interleukin 6, 17 and 22 levels were quantified with an enzyme-linked immunosorbent assay in culture supernatants of peripheral blood mononuclear cells from healthy individuals and patients. RESULTS: We demonstrated that in peripheral blood mononuclear cells from healthy volunteers and in systemic lupus erythematosus and rheumatoid arthritis patients, there was a significant reduction in the IL-6, IL-17 and IL-22 supernatant levels after adding hydroxychloroquine. CONCLUSIONS Our in vitro results demonstrated that hydroxychloroquine inhibits IL-6, IL-17 and IL-22 production and contributes to a better understanding of the mechanism of action of this medication.
Variable Participation of 5‐HT1‐Like Receptors and 5‐HT2 Receptors in Serotonin‐Induced Contraction of Human Isolated Coronary Arteries: 5‐HT1‐Like Receptors Resemble Cloned 5‐HT1Dβ Receptors

BackgroundSerotonin may contract human large coronary arteries through two 5-hydroxtryptamine (5-HT) receptors, 5-HT1-like and 5 -HT2. These 5-HT1-like receptors resemble both cloned 5-HT1D receptor subtypes, 5-HT1Dα and 5 -HT1Dβ Although these subtypes have similar pharmacology, 5-HT1Dαreceptors appear to have lower affinity for ketanserin than 5-HT1Dα receptors. We assessed the relative participation of 5-HT1-like and 5-HT2 receptors and attempted to identify whether vasoconstrictor 5-HT1-like receptors are 5 1HT1Dα or 5-. HT1Dβ. Methods and ResultsEpicardial coronary arteries were dissected from the hearts of 29 patients (including 1 healthy donor) undergoing heart transplant operation. Endothelium-denuded strips were set up to contract at 37°C. To assess the relative contributions of 5-HT2-like and 5-HT2 receptors, we blocked the latter with ketanserin (0.1 to 1.0 μmol/L) and ketanserin-resistant receptors with methiothepin (0.1 μmol/ L). Concentration-effect curves for 5-HT, in the absence and presence of ketanserin, were analyzed by using a model for two receptor subtypes. The fractional contributions of 5-HT1-like and 5 -HT2 receptors to the maximum effect of 5 -HT, f1 and f2, were estimated in arteries from 28 patients: f1 (0.71±0.20, mean±SD) was significantly larger than f2 (0.29±0.20) (P<.0001). Using [3H]-serotonin to label transfected and ex-pressed receptors, we verified that ketanserin has lower affinity for 5-HT1Dβ (pK1-log Ki, mol/L] less than 5.0) than for 5-HTlDα (pKi=7.1±0.1) receptors. A concentration of ketanserin (1 μmol/L) that would occupy more than 90% of 5-HT1Dα receptors failed to block 5-HT-induced contractions (4 patients). The 5-HT1-like receptor stimulant sumatriptan evoked maximal contractions that matched f1 and was equipotent with 5-HT through 5-HT1-like receptors (8 patients). No systematic influence of disease, atheroma, or therapy on f1 and f2 was detected. ConclusionsCoronary artery contractile 5-HT1-like receptors resemble cloned 5-HT1Dβ receptors and predominate over 5-HT2 receptors in mediating serotonin-evoked contractions. Sumatriptan contracts coronary arteries as a full agonist through 5-HT1-like receptors.
Preoperative Orthostatic Dysfunction Is Associated with an Increased Incidence of Postoperative Nausea and Vomiting

Background Postoperative nausea and vomiting (PONV) occurs frequently after gynecologic surgery. Because hemodynamic condition seems to be influential, women presenting with preoperative orthostatic dysregulation may have an increased risk for PONV. The aim of the present study was to assess the relationship between preoperative orthostatic dysregulation and the incidence of PONV. Methods In a prospective observer-blinded clinical trial, 200 women who were scheduled for elective gynecologic surgery underwent an orthostatic test on the day before surgery. Based on the orthostatic test results, women were stratified into orthostatic dysregulation (OR; systolic blood pressure decrease > 20 mmHg on standing up) and nonorthostatic dysregulation (NOR; systolic blood pressure decrease < 20 mmHg) groups. Results Forty-nine women were stratified to the OR group and 151 to the NOR group. Frequencies of PONV and vomiting during the study period were higher in the OR group compared with the NOR group (77.6%vs. 31.1% and 55.1 vs. 18.5%, respectively; all P < 0.001). Women with hypotension in their history showed a significantly higher frequency of PONV within 24 h (P < 0.05). Conclusion Women presenting with orthostatic dysregulation and arterial hypotension in their history exhibit an increased risk of PONV.
A reverse Faber-Krahn inequality for the magnetic Laplacian

We consider the first eigenvalue of the magnetic Laplacian in a bounded and simply connected planar domain, with uniform magnetic field and Neumann boundary conditions. We investigate the reverse Faber-Krahn inequality conjectured B. ~Helffer and S. ~Fournais, stating that this eigenvalue is maximized by the disk for a given area. Using the method of level lines, we prove the conjecture for small enough values of the magnetic field (those for which the corresponding eigenfunction in the disk is radial).
Search Algorithms for Regression Test Case Prioritization

Regression testing is an expensive, but important, process. Unfortunately, there may be insufficient resources to allow for the reexecution of all test cases during regression testing. In this situation, test case prioritization techniques aim to improve the effectiveness of regression testing by ordering the test cases so that the most beneficial are executed first. Previous work on regression test case prioritization has focused on greedy algorithms. However, it is known that these algorithms may produce suboptimal results because they may construct results that denote only local minima within the search space. By contrast, metaheuristic and evolutionary search algorithms aim to avoid such problems. This paper presents results from an empirical study of the application of several greedy, metaheuristic, and evolutionary search algorithms to six programs, ranging from 374 to 11,148 lines of code for three choices of fitness metric. The paper addresses the problems of choice of fitness metric, characterization of landscape modality, and determination of the most suitable search technique to apply. The empirical results replicate previous results concerning greedy algorithms. They shed light on the nature of the regression testing search space, indicating that it is multimodal. The results also show that genetic algorithms perform well, although greedy approaches are surprisingly effective, given the multimodal nature of the landscape
Evaluating academic workplaces: the hyper-expansive environment experienced by university lecturers in professional fields

Academic developers need to understand the situated workplaces of the academic tribes they are supporting. This study proposes the use of the expansive–restrictive workplace learning environment continuum as a tool for evaluation of academic workplaces. The tool is critically appraised through its application to the analysis of workplace experience questionnaire responses from higher education lecturers in nursing and midwifery in the UK. The analysis identified excessive professional learning expectations and opportunities for these lecturers that we describe as a hyper-expansive workplace environment. We conclude that these academics need support to identify priorities and to develop synergy between areas of their work by focusing on the links between research, teaching, and knowledge exchange activity. Used within an ethical research framework, the expansive–restrictive continuum provides a useful tool for academic developers to understand academic workplaces and offer tailored support to lecturers within specific subject disciplines.
A feasibility study on using virtual reality for understanding deficiencies of high school students

A significant number of high school students face different types of problems that prevent them from attending adequately classes. On the other hand teachers are faced with the daunting task of identifying and addressing problems faced by students. Correcting actions towards student deficiencies imply that teachers are able to fully understand the implications on student activities caused by different types of problems. In this paper we describe a feasibility study that aims to assess the potential of using Virtual Reality as a tool for training teachers to fully understand the difficulties of students suffering from different types of deficiencies. As part of the proposed work, teachers are given the opportunity to participate in a virtual class in the role of students that face certain deficiencies allowing them to experience problems faced by students so that teachers learn how to deal effectively with such cases in real classrooms. In our preliminary investigation we concentrated our attention on the problem of myopia so that teachers who participated in the experiment had the opportunity to attend a class as visually impaired persons. The results of this preliminary investigation indicate that teachers who participated in the experiment showed increased awareness and understanding of the problem. Furthermore, the results revealed the potential of such application for teacher training.
Learning to Win by Reading Manuals in a Monte-Carlo Framework

This paper presents a novel approach for leveraging automatically extracted textual knowledge to improve the performance of control applications such as games. Our ultimate goal is to enrich a stochastic player with high-level guidance expressed in text. Our model jointly learns to identify text that is relevant to a given game state in addition to learning game strategies guided by the selected text. Our method operates in the Monte-Carlo search framework, and learns both text analysis and game strategies based only on environment feedback. We apply our approach to the complex strategy game Civilization II using the official game manual as the text guide. Our results show that a linguistically-informed game-playing agent significantly outperforms its language-unaware counterpart, yielding a 27% absolute improvement and winning over 78% of games when playing against the built-in AI of Civilization II.