Miracle-dz/UniFAR-FTUs huggingface dataset:
The Role of Trait and State Absorption in the Enjoyment of Music

Little is known about the role of state versus trait characteristics on our enjoyment of music. The aim of this study was to investigate the influence of state and trait absorption upon preference for music, particularly preference for music that evokes negative emotions. The sample consisted of 128 participants who were asked to listen to two pieces of self-selected music and rate the music on variables including preference and felt and expressed emotions. Participants completed a brief measure of state absorption after listening to each piece, and a trait absorption inventory. State absorption was strongly positively correlated with music preference, whereas trait absorption was not. Trait absorption was related to preference for negative emotions in music, with chi-square analyses demonstrating greater enjoyment of negative emotions in music among individuals with high trait absorption. This is the first study to show that state and trait absorption have separable and distinct effects on a listener’s music experience, with state characteristics impacting music enjoyment in the moment, and trait characteristics influencing music preference based on its emotional content.
Bridging Collaborative Filtering and Semi-Supervised Learning: A Neural Approach for POI Recommendation

Recommender system is one of the most popular data mining topics that keep drawing extensive attention from both academia and industry. Among them, POI (point of interest) recommendation is extremely practical but challenging: it greatly benefits both users and businesses in real-world life, but it is hard due to data scarcity and various context. While a number of algorithms attempt to tackle the problem w.r. t. specific data and problem settings, they often fail when the scenarios change. In this work, we propose to devise a general and principled SSL (semi-supervised learning) framework, to alleviate data scarcity via smoothing among neighboring users and POIs, and treat various context by regularizing user preference based on context graphs. To enable such a framework, we develop PACE (Preference And Context Embedding), a deep neural architecture that jointly learns the embeddings of users and POIs to predict both user preference over POIs and various context associated with users and POIs. We show that PACE successfully bridges CF (collaborative filtering) and SSL by generalizing the de facto methods matrix factorization of CF and graph Laplacian regularization of SSL. Extensive experiments on two real location-based social network datasets demonstrate the effectiveness of PACE.
Influence of 8DSS Peptide on Nano-mechanical Behavior of Human Enamel

Aspartate-serine-serine (DSS) repeats are abundant in naturally occurring proteins that are critical for tooth formation. We recently developed octuplet repeats of aspartate-serine-serine (8DSS) peptides to promote the nucleation of calcium phosphate carbonate from free ions. In this paper, we report a possible role of 8DSS in promoting mineral deposition onto human enamel. Human enamel specimens were demineralized, exposed briefly to 8DSS solution, and then exposed to simulated body fluid that favors mineral deposition. At various stages of treatment, nano-mechanical behaviors, namely, hardness and elastic modulus, were determined by nano-indentation. Nano-indentation results showed that 8DSS treatment effectively improved the mechanical and elastic properties of demineralized enamel. The values of hardness and elastic modulus for the 8DSS-treated enamel were significantly higher than those of surfaces without 8DSS treatment. Furthermore, 8DSS peptides promoted the uniform deposition of nano-crystalline calcium phosphate carbonate over demineralized enamel surfaces and reduced surface roughness of demineralized enamel.
Colistin Pharmacokinetics in Burn Patients during Continuous Venovenous Hemofiltration

ABSTRACT While colistin is considered a last resort for the treatment of multidrug-resistant Gram-negative bacterial infections, there has been an increase in its use due to the increasing prevalence of drug-resistant infections worldwide. The pharmacology of colistin is complex, and pharmacokinetic data are limited, especially in patients requiring renal replacement therapy. As a result, dosing for patients who require renal replacement remains a challenge. Here, we present pharmacokinetic data for colistin from two burn patients (37 and 68 years old) infected with colistin-susceptible isoclonal Acinetobacter baumannii and receiving continuous venovenous hemofiltration (CVVH). To our knowledge, we are the first to examine data from before and during CVVH (for one patient), allowing analysis of the effect of CVVH on colistin pharmacokinetics. Pharmacokinetic/pharmacodynamic analysis indicated that a dose increase from 1.5 to 2.2 mg/kg of body weight colistin base activity on CVVH was insufficient to satisfy the target parameter of an AUC24/MIC (area under the concentration-time curve over 24 h in the steady state divided by the MIC) of ≥60 at an MIC of ≥1 μg/ml in one patient with residual endogenous renal function. Plasma concentrations of colistin ranged from 0 to 15 μg/ml, with free colistin levels ranging from 0.4 to 2.2 μg/ml. While both patients resolved their clinical infections and survived to discharge, colistin-resistant colonizing isolates resulted from therapy in one patient. The variabilities observed in colistin concentrations and pharmacokinetic characteristics highlight the importance of pharmacokinetic monitoring of antibiotics in patients undergoing renal replacement therapy.
Mirror, mirror on the wall, tell me, is the error small?

Do object part localization methods produce bilaterally symmetric results on mirror images? Surprisingly not, even though state of the art methods augment the training set with mirrored images. In this paper we take a closer look into this issue. We first introduce the concept of mirrorability as the ability of a model to produce symmetric results in mirrored images and introduce a corresponding measure, namely the mirror error that is defined as the difference between the detection result on an image and the mirror of the detection result on its mirror image. We evaluate the mirrorability of several state of the art algorithms in two of the most intensively studied problems, namely human pose estimation and face alignment. Our experiments lead to several interesting findings: 1) Most of state of the art methods struggle to preserve the mirror symmetry, despite the fact that they do have very similar overall performance on the original and mirror images; 2) the low mirrorability is not caused by training or testing sample bias - all algorithms are trained on both the original images and their mirrored versions; 3) the mirror error is strongly correlated to the localization/alignment error (with correlation coefficients around 0.7). Since the mirror error is calculated without knowledge of the ground truth, we show two interesting applications - in the first it is used to guide the selection of difficult samples and in the second to give feedback in a popular Cascaded Pose Regression method for face alignment.
Arc-Consistency in Dynamic Constraint Satisfaction Problems

Constraint satisfaction problems (CSPs) provide a model often used in Artificial Intelligence. Since the problem of the existence of a solution in a CSP is an NP-complete task, many filtering techniques have been developed for CSPs. The most used filtering techniques are those achieving arc-consistency. Nevertheless, many reasoning problems in AI need to be expressed in a dynamic environment and almost all the techniques already developed to solve CSPs deal only with static CSPs. So, in this paper, we first define what we call a dynamic CSP, and then, give an algorithm achieving arc-consistency in a dynamic CSP. The performances of the algorithm proposed here and of the best algorithm achieving arc-consistency in static CSPs are compared on randomly generated dynamic CSPs. The results show there is an advantage to use our specific algorithm for dynamic CSPs in almost all the cases tested.
Frequency-Dependent Tuning of the Human Motor System Induced by Transcranial Oscillatory Potentials

Different corticothalamic brain modules intrinsically oscillate at a “natural frequency” in a topographically organized manner. In “quiescent” human sensorimotor regions, the main detectable oscillatory activity peaks at ∼20 Hz, and partly contributes to determine the state of corticospinal excitability. Here, we showed that the transcranial application of an imperceptible, short-lasting (90 s) electric field oscillating at a physiological range increases corticospinal excitability online, with well defined frequency dependence and regional specificity. Indeed, the size of motor evoked potentials (MEPs) induced by navigated single-pulse TMS over the motor cortex significantly increased only during the local application of transcranial alternating current stimulation (tACS) at 20 Hz (β range). Other tACS frequencies (5, 10, and 40 Hz) applied on the motor cortex did not impact MEPs' size. Moreover, tACS applied on a control site (parietal cortex) and on a peripheral site (ulnar nerve) also failed to modulate MEPs. These results help clarifying the functional significance of the 20 Hz idling β rhythm of sensorimotor regions and suggest potential clinical applications of this approach.
Predictors of Recurrent Instability After Acute Patellofemoral Dislocation in Pediatric and Adolescent Patients

Background: Patellofemoral instability is common in the pediatric and adolescent population, yet prognosis after the first dislocation has been difficult to determine. Purpose: To describe the demographics of pediatric and adolescent patients with a first-time patellofemoral dislocation and to determine predictors of recurrent instability. Study Design: Case-control study; Level of evidence, 3. Methods: A search of the Mayo Medical Index database between 1998 to 2010 was performed, and 2039 patients were identified. Inclusion criteria were (1) age 18 years or younger, (2) no history of patellofemoral subluxation/dislocation of the affected knee, (3) radiographs within 4 weeks of the initial instability episode, and (4) a dislocated patella requiring reduction or convincing history/findings suggestive of acute patellar dislocation (effusion/hemarthrosis, tenderness along medial parapatellar structures, and apprehension with lateral patellar translation). Radiographs were evaluated for trochlear dysplasia (Dejour classification) and patella alta (Caton-Deschamps and Insall-Salvati indices). Skeletal maturity was graded based on the distal femoral and proximal tibial physes (open, closing, or closed). Results: A total of 222 knees (120 male [54.1%] and 102 female [45.9%]) in 210 patients with an average age of 14.9 years (range, 9-18 years), met the inclusion criteria. Twenty-four patients (10.8%) underwent early surgery. All others were initially treated nonoperatively. Of the 198 patients in this group, 76 (38.4%) had recurrent instability, and 39 (51.3%) of these required surgical treatment. Recurrent instability was associated with trochlear dysplasia (P < .01). Patients with both immature physes and trochlear dysplasia had a recurrence rate of 69% (33/48), with a hazard ratio of 3.3. Age, sex, body mass index, and patella alta were not statistically associated with recurrent instability. Conclusion: Nonoperative treatment for first-time patellofemoral dislocation resulted in a 62% success rate. However, skeletally immature patients with trochlear dysplasia had only a 31% success rate with nonoperative management. Nearly half of patients with recurrent instability required surgical intervention to gain stability.
Large duodenal gastrointestinal stromal tumor presenting with acute bleeding managed by a whipple resection. A review of surgical options and the prognostic indicators of outcome.

CONTEXT Duodenal gastrointestinal stromal tumors (GISTs) are uncommon and constitute a relatively small subset of GISTs which presents a unique dilemma having various surgical options. A case of a large ulcerating duodenal GIST arising from the second and third parts of the duodenum and involving the pancreas which was managed by a Whipple resection is presented. The literature is also reviewed to present the current status on surgical options, outcome, prognostic indicators and the role of imatinib mesylate in its management. CASE REPORT A 58-year-old patient presented with acute gastrointestinal bleeding which was diagnosed to be due to a duodenal GIST following CT scan and endoscopic biopsy. The mass which measured about 10x9 cm originated from the 2nd part and extended into the 3rd part of the duodenum. He underwent a Whipple resection, and histopathology confirmed a duodenal GIST having a greater than 10 mitotic count per fifty high power field and areas of necrosis. Postoperatively, he received imatinib mesylate 400 mg bid; however, 4 months later, he presented with multiple disseminated peritoneal metastases and succumbed to the disease 2 months later. CONCLUSION GISTs of the duodenum which are small in size and do not involve the papilla of Vater are better resolved using a limited resection of the duodenum since the outcome in terms of operative risk or disease recurrence is not influenced in these cases. However, large tumors with more extensive involvement would require a pancreaticoduodenectomy to achieve adequate tumor clearance. Even though duodenal GISTs have a relatively better prognosis as compared to GISTs at other sites, their aggressiveness ranges from small indolent tumors to aggressive sarcomas. Following tumor resection, a recurrence rate of about 40% has been reported. A more favorable prognosis in duodenal GISTs is attributed to a lower prevalence of P53 loss, the duodenal location of the tumor, a smaller size of the lesion and a low mitotic count. Imatinib mesylate is reported to play a role in neoadjuvant therapy as well as in the management of metastatic and recurrent disease, although some of these tumors may fail to respond.
Physiologic and Symptomatic Responses to Low-Level Substances in Individuals with and without Chemical Sensitivities: A Randomized Controlled Blinded Pilot Booth Study

We conducted a pilot study using a randomized, single-blind, placebo-controlled exposure among 10 individuals with and 7 without reported chemical sensitivities in a dedicated testing chamber. Objectives of the study were to explore the length of the adaptation period to obtain stable readings, evaluate responses to different substances, and measure the level and type of symptomatic and physiologic reactions to low-level exposures. Reported and observed symptoms, electrodermal response, heart rate, skin temperature, surface electromyogram, respiratory rate, contrast sensitivity, and the Brown-Peterson cognitive test were used and compared between cases and controls and between test substances (glue, body wash solution, dryer sheet) and control substances (unscented shampoo and clean air). Subjects with chemical sensitivities (cases) took longer to adapt to baseline protocols than did controls. After adaptation, despite small study numbers, cases displayed statistically significant responses (all measures, p < 0.02) in tonic electrodermal response to test substances compared with controls and compared with the control substance. Symptoms were also higher in cases than in controls for the body wash solution (p = 0.05) and dryer sheets (p = 0.02). Test–retest showed good agreement for both symptoms and tonic electrodermal responses (McNemar’s test, p = 0.32 and p = 0.33, respectively). Outside of skin conductance, other measures had no consistent patterns between test and control substances and between cases and controls. This study shows the importance of using an adaptation period in testing individuals with reported chemical sensitivities and, despite small numbers, raises questions about underlying mechanisms and level of reactivity to low-level chemical exposures in sensitive individuals.
Social Authentication Applications, Attacks, Defense Strategies and Future Research Directions: A Systematic Review

The ever-increasing volumes of social knowledge shared in online social networks, the establishment of trustworthy social relationships over these platforms, and the emergence of technologies that allow friendship networks to be inferred from data exchanged in communication networks have motivated researchers to build socially aware authentication schemes. We conduct the first study that surveys the literature related to social authentication. In this paper, we not only created a taxonomy for classifying all social authentication schemes deployed in online or physical social contexts and extensively analyzed their authentication features, but also built a novel framework for evaluating the effectiveness of all social authentication schemes, identified all the practical and theoretical attacks that may be mounted against such schemes, addressed possible defense strategies, and identified challenges, open questions, and future research opportunities. To measure their accuracy, strengths, weaknesses, and limitations, as well as to identify the potential of knowledge-based and trust-based social authentication schemes, a comprehensive comparative assessment of the security, usability, and deployability was conducted. We hope, by providing a solid foundation for gaining sufficient understanding of the manners in which users’ social interactions have been utilized in user authentication schemes and their corresponding security implications, we will guide future research in this domain.
Sequence Evolution of HIV-1 following Mother-to-Child Transmission

ABSTRACT The genetic heterogeneity of HIV-1 poses a major obstacle to vaccine development. Although most horizontally acquired HIV-1 infections are initiated by a single homogeneous virus, marked genetic diversification and evolution occur following transmission. The relative contribution of the antiviral immune response to intrahost viral evolution remains controversial, in part because the sequence of the transmitted virus and the array of T-cell epitopes targeted by both donor and recipient are seldom known. We directly compared predominant viral sequences derived from 52 mother-child transmission pairs following vertical infection and identified 1,475 sites of mother-infant amino acid divergence within Nef, Gag, and Pol. The cumulative number of mutations away from the consensus subtype B sequence increased linearly with time since transmission, whereas reversions toward the consensus sequence accumulated more slowly with increasing duration of infection. Comprehensive mapping of T-cell epitopes targeted by these mothers and infants revealed that 14% of nonsynonymous mutations away from the consensus sequence were located within regions targeted by the infant, whereas 24% of nonsynonymous mutations toward the consensus sequence were located in regions targeted by the mother. On the basis of analysis of optimal epitopes listed in the HIV Molecular Immunology Database, fewer than 10% of epitopes containing maternal escape mutations reverted to the consensus sequence following transmission to an infant lacking the restricting HLA allele. This surprisingly low reversion rate of mutated epitopes following transmission suggests that the fitness cost associated with many CD8 epitope mutations may be modest.
Spectral Analysis of Polynomial Nonlinearity with Applications to RF Power Amplifiers

The majority of the nonlinearity in a communication system is attributed to the power amplifier (PA) present at the final stage of the transmitter chain. In this paper, we consider Gaussian distributed input signals (such as OFDM), and PAs that can be modeled by memoryless or memory polynomials. We derive closed-form expressions of the PA output power spectral density, for an arbitrary nonlinear order, based on the so-called Leonov-Shiryaev formula. We then apply these results to answer practical questions such as the contribution of AM/PM conversion to spectral regrowth and the relationship between memory effects and spectral asymmetry.
Cross-National Validation and Use of Classroom Environment Scales.

Cross-national classroom environment research investigating differences in mathematics classroom environment according to country (viz. Australia, Canada and the United Kingdom), grade level (Grades 8, 10 and 12) and student gender was conducted using a sample of 3,602 students from 29 schools. Students responded to a questionnaire developed from 7 scales of the What is Happening in this Class questionnaire and 3 scales of the Constructivist Learning Environment Survey. Validation data showed these 10 scales to have sound structural characteristics. Results for the comparison of classroom environment in Australia, Canada and the United Kingdom were mixed. Tests of significance revealed that the environment in mathematics classes in these three countries differed significantly on some scales with Canadian schools having higher levels of Investigation and Personal Relevance that their Australian and British counterparts. In general, Grade 8 students held more positive perceptions of their mathematics classrooms than did Grade 10 and Grade 12 students. Female students generally perceived their mathematics classroom more positively than did male students.
Influential Mutations in the SMAD4 Trimer Complex Can Be Detected from Disruptions of Electrostatic Complementarity

This article examines three techniques for rapidly assessing the electrostatic contribution of individual amino acids to the stability of protein-protein complexes. Whereas the energetic minimization of modeled oligomers may yield more accurate complexes, we examined the possibility that simple modeling may be sufficient to identify amino acids that add to or detract from electrostatic complementarity. The three methods evaluated were (a) the elimination of entire side chains (e.g., glycine scanning), (b) the elimination of the electrostatic contribution from the atoms of a side chain, called nullification, and (c) side chain structure prediction using SCWRL4. These techniques generate models in seconds, enabling large-scale mutational scanning. We evaluated these techniques on the SMAD2/SMAD4 heterotrimer, whose formation plays a crucial role in antitumor pathways. Many studies have documented the clinical and structural effect of specific mutations on trimer formation. Our results describe how glycine scanning yields more specific predictions, although nullification may be more sensitive, and how side chain structure prediction enables the identification of uncharged-to-charge mutations.
Online Anomaly Detection for Hard Disk Drives Based on Mahalanobis Distance

A hard disk drive (HDD) failure may cause serious data loss and catastrophic consequences. Online health monitoring provides information about the degradation trend of the HDD, and hence the early warning of failures, which gives us a chance to save the data. This paper developed an approach for HDD anomaly detection using Mahalanobis distance (MD). Critical parameters were selected using failure modes, mechanisms, and effects analysis (FMMEA), and the minimum redundancy maximum relevance (mRMR) method. A self-monitoring, analysis, and reporting technology (SMART) data set is used to evaluate the performance of the developed approach. The result shows that about 67% of the anomalies of failed drives can be detected with zero false alarm rate, and most of them can provide users with at least 20 hours during which to backup the data.