Miracle-dz/UniFAR-FTUs huggingface dataset:
Suade: Topology-Based Searches for Software Investigation

The investigation of a software system prior to a modification task often constitutes an important fraction of the overall effort associated with the task. We present Suade, an Eclipse plug-in to automatically generate suggestions for software investigation. The goal of Suade is to increase the efficiency with which developers explore the source code by recommending locations that are likely to be relevant to the task. Based on a context of software elements (fields and methods) explicitly specified by a developer, Suade automatically generates other elements that are likely to be relevant given the context, by analyzing the topology of structural dependencies in a software system.
Band-gap narrowing in heavily doped silicon at 20 and 300 K studied by photoluminescence.

The band-gap shrinkage in heavily doped n- and p-type silicon is studied by photoluminescence both at low temperatures (20 K) and at room temperature (300 K). A line-shape analysis was performed to determine the indirect band-gap energy from the emission spectra. Within the experimental accuracy the same band-gap shift is observed at room temperature as at low temperature. The present results are compared with experimental data from other optical studies and with theoretical calculations.
Low complexity, high performance neuro-fuzzy system for Internet traffic flows early classification

Traffic flow classification to identify applications and activity of users is widely studied both to understand privacy threats and to support network functions such as usage policies and QoS. For those needs, real time classification is required and classifier's complexity is as important as accuracy, especially given the increasing link speeds also in the access section of the network. We propose the application of a highly efficient classification system, specifically Min-Max neurofuzzy networks trained by PARC algorithm, showing that it achieves very high accuracy, in line with the best performing algorithms onWeka, by considering two traffic data sets collected in different epochs and places. It turns out that required classification model complexity is much lower with Min-Max networks with respect to SVM models, enabling the implementation of effective classification algorithms in real time on inexpensive platforms.
Physical Layer Security Enhancement Using an Expanded Signal Constellation

We present an effective scheme for preventing eavesdropping in wireless communication systems. In the proposed scheme, the modulation scheme is designed to change based on an expanded signal constellation, in such a way that the eavesdropper cannot be aware of the change. As compared to previously proposed schemes that rely on specific relay nodes, the proposed scheme is advantageous in that it can keep the transmit messages secure without requiring any assistance of relays.
The physical properties of star-forming galaxies in the low-redshift universe

We present a comprehensive study of the physical properties of ∼ 10 5 galaxies with measurable star formation in the Sloan Digital Sky Survey (SDSS). By comparing physical information extracted from the emission lines with continuum properties, we build up a picture of the nature of star-forming galaxies at z < 0.2. We develop a method for aperture correction using resolved imaging and show that our method takes out essentially all aperture bias in the star formation rate (SFR) estimates, allowing an accurate estimate of the total SFRs in galaxies. We determine the SFR density to be 1.915 +0.02 −0.01 (random) +0.14
Effect of vibratory welding process on hardness of dissimilar welded joints

Article history: Received 6 October, 2016 Accepted 20 February 2017 Available online 20 February 2017 This paper presents the effect of vibratory dissimilar TIG (Tungsten Inert Gas) welding process on hardness of welded joins with respect to change of vibratory parameters. In this study, new vibratory setup with two metal engravers is used to give mechanical vibrations to the specimens to be welded. Finally, the effect of mechanical vibrations with the variation of vibration parameters is studied on the hardness at the weld bead and heat effected zone (HAZ) of welded joints. © 2017 Growing Science Ltd. All rights reserved.
Electrophysiological properties of Hensen's cells investigated in situ

Tight-Seal whole-cell patch clamp recordings were obtained in situ from supporting Hensen's cells within the intact organ of Corti of the adult guinea pig. In normal phosphate buffer solution we estimated 20–50 cells to be coupled by gap junctions to the cell under the patch pipette. In the presence of 1 mM octanol, an uncoupling agent, it was possible to identify an outward current which activated upon depolarization above −20 mV and approached saturation above 70 mV. An inward current was seen with hyperpolarizations below −80 mV. These are broadly similar to the currents of Hensen's cells in vitro. Measured differences of the underlying conductance indicate that the currents are sensitive to the procedure used to isolate cells.
Optimal active detection in machine-to-machine mobile networks: A repeated game approach

Machine-to-Machine (M2M) mobile networks are distributed systems which include various actuators and sensors. In terms of the security of M2M mobile networks, one very signiﬁcant issue is the security of Sensor Networks (SNs). Particularly, the security of transferring data from sensors to their destinations is very critical. In this paper, focusing on intrusion detection techniques, we propose an attack-defense game model to detect malicious nodes using a repeated game approach. In the proposed game model, attackers and defenders make different strategies to achieve optimal payoffs. The existences of pure nash equilibrium and mixed nash equilibrium are analyzed and proved. In the Intrusion Detection System (IDS), a game tree model is introduced to solve the error detection and missing detection problems. Simulation results present that the proposed model can reduce energy consumption by up to 50% compared with the All Monitor (AM) model, and improve the detection rate by up to 10-15% compared with the Cluster Head (CH) monitor model.
Chromosome 1p and 14q FISH Analysis in Clinicopathologic Subsets of Meningioma: Diagnostic and Prognostic Implications

The second most frequently reported genetic abnormalities in meningiomas after 22q loss are deletions of 1p and 14q. To assess the potential diagnostic and prognostic utility of these chromosomal alterations, we studied 180 well-characterized meningiomas using dual-color fluorescence in situ hybridization (FISH) with DNA probes localized to 1p32, 1p36, 14q13, and 14q32. Our cohort consisted of 77 benign (grade I), 74 atypical (grade II), and 29 anaplastic (grade III) meningiomas. Benign and atypical meningiomas were further stratified into subsets of recurring (despite gross total resection) vs non-recurring (at least 10 yr of follow-up) and mitotically active vs brain invasive subsets, respectively. Losses of 1p and 14q losses were identified in 23% and 31% of benign, 56% and 57% of atypical, and 75% and 67% of anaplastic meningiomas, respectively (p < 0.001 for 1p; p = 0.004 for 14q). Combined 1p/14q deletions were encountered in 7% benign, 39% atypical, and 63% anaplastic meningiomas (p < 0.001). Benign non-recurring meningiomas were less likely to harbor 14q deletions than recurring examples (17% vs 50%, p = 0.013). There was a trend for anaplastic meningiomas with 14q deletions and atypical meningiomas with combined 1p/14q deletions to have poorer overall survivals, though neither reached statistical significance. We conclude that 1p and 14q deletions are highly associated with increasing histologic grade and play an important role in meningioma tumor progression. Furthermore, 14q FISH analysis may aid in assessing recurrence risk in histologically benign meningiomas.
Sites of asparagine-linked oligosaccharides in porcine 32 kDa enamelin.

The 32 kDa enamelin protein isolated from developing porcine enamel was previously shown to contain eight different asparagine-linked oligosaccharides. However, only three consensus attachment sites were evident in this protein. In this study, glycopeptides containing all three potential glycosylation sites (72-Asn, 79-Asn and 91-Asn) were purified from 32 kDa enamelin. The oligosaccharides were isolated from each glycopeptide following digestion with N-oligosaccharide glycopeptidase, labeled with 2-aminopyridine at the reducing ends, and then characterized by reverse phase HPLC. All three potential sites were found to be glycosylated heterogeneously (i.e., five biantennary complexes at 72-Asn, two biantennary complexes at 79-Asn, three triantennary complexes at 91-Asn), accounting for all eight oligosaccharides characterized previously. These results indicate that 32 kDa enamelin has a complex pattern of asparagine-linked glycosylation localized within a small region (20 residues) of the protein. The functional significance of this glycosylation remains to be established.
Segura River Aquifer (SE Spain) Obtained by Means of Advanced DInSAR

The hydrological quality of an aquifer system is evaluated by means of two parameters: its capabilities to transmit water (transmissivity, T) and to store water (storage coefficient, S). In this work, a method based on temporal data of the surface subsidence is employed to calculate storage coefficients (S) and transmissivities (T) of the Vega Media of the Segura river aquifer-system. Subsidence data are obtained by means of differential SAR interferometry. The retrieved values of S for all available wells vary from 3.2 times 10-5 to 1.9 times 10-3m/m. For the only well where water flow is available, a T value of 0.302 m2/day is estimated. First results show a reasonable agreement between data calculated with this technique and other acquired by means of in situ measurements.
Cars and Social Interest

This article is an analysis of the movie Cars from an Adlerian perspective. The authors focus on the psychological growth of the protagonist, Lightning McQueen, from a self-centered, narcissistic character to a communally oriented individual who lives with social interest. Members of a dilapidated and bypassed community aid him in this process. Those who help McQueen also grow psychologically. The role of the cinematic medium in developing and promoting social interest is discussed.
Emotion and attention: predicting electrodermal activity through video visual descriptors

This paper contributes to the field of affective video content analysis through the novel employment of electrodermal activity (EDA) measurements as ground truth for machine learning algorithms. The variation of the electrical properties of the skin, known as EDA, is a psychophysiological indicator widely used in medicine, psychology and neuroscience which can be considered a somatic marker of the emotional and attentional reaction of subjects towards stimuli. One of its main advantages is that the recorded information is not biased by the cognitive process of giving an opinion or a score to characterize the subjective perception. In this work, we predict the levels of emotion and attention, derived from EDA records, by means of a small set of low-level visual descriptors computed from the video stimuli. Linear regression experiments show that our descriptors predict significantly well the sum of emotion and attention levels, reaching a coefficient of determination R2 = 0.25. This result sets a promising path for further research on the prediction of emotion and attention from videos using EDA.
High Efficacy of β-Blockers in Long-QT Syndrome Type 1: Contribution of Noncompliance and QT-Prolonging Drugs to the Occurrence of β-Blocker Treatment “Failures”

Background— β-Blocker efficacy in long-QT syndrome type 1 is good but variably reported, and the causes of cardiac events despite β-blocker therapy have not been ascertained. Methods and Results— This was a retrospective study of the details surrounding cardiac events in 216 genotyped long-QT syndrome type 1 patients treated with β-blocker and followed up for a median time of 10 years. Before β-blocker, cardiac events occurred in 157 patients (73%) at a median age of 9 years, with cardiac arrest (CA) in 26 (12%). QT-prolonging drugs were used by 17 patients; 9 of 17 (53%) had CA compared with 17 of 199 nonusers (8.5%; odds ratio, 12.0; 95% confidence interval, 4.1 to 35.3; P<0.001). After β-blocker, 75% were asymptomatic, and cardiac events were significantly reduced (P<0.001), with a median event count (quartile 1 to 3) per person of 0 (0 to 1). Twelve patients (5.5%) suffered CA/sudden death, but 11 of 12 (92%) were noncompliant (n=8), were on a QT-prolonging drug (n=2), or both (n=1) at the time of the event. The risk for CA/sudden death in compliant patients not taking QT-prolonging drugs was dramatically less compared with noncompliant patients on QT-prolonging drugs (odds ratio, 0.03; 95% confidence interval, 0.003 to 0.22; P=0.001). None of the 26 patients with CA before β-blocker had CA/sudden death on β-blockers. Conclusions— β-Blockers are extremely effective in long-QT syndrome type 1 and should be administered at diagnosis and ideally before the preteen years. β-Blocker noncompliance and use of QT-prolonging drug are responsible for almost all life-threatening “β-blocker failures. ” β-Blockers are appropriate therapy for asymptomatic patients and those who have never had a CA or β-blocker therapy. Routine implantation of cardiac defibrillators in such patients does not appear justified.
Generalized Sparselet Models for Real-Time Multiclass Object Recognition

The problem of real-time multiclass object recognition is of great practical importance in object recognition. In this paper, we describe a framework that simultaneously utilizes shared representation, reconstruction sparsity, and parallelism to enable real-time multiclass object detection with deformable part models at 5Hz on a laptop computer with almost no decrease in task performance. Our framework is trained in the standard structured output prediction formulation and is generically applicable for speeding up object recognition systems where the computational bottleneck is in multiclass, multi-convolutional inference. We experimentally demonstrate the efficiency and task performance of our method on PASCAL VOC, subset of ImageNet, Caltech101 and Caltech256 dataset.
Generosity the Second Time Around

Studies into the factors influencing first-time monetary donation intention abound. However, the determinants of repeat donation intention have not yet received significant attention within the academic community. For this study, a survey was implemented with residents of two cities in the eastern part of the Netherlands to determine the factors influencing their repeat donation intention. The study shows that respondents’ intention to continue donating to a charitable organization is predicated on their positive experience with that organization. Furthermore, this repeat donation is also influenced by respondents’ affinity with the cause of the charitable organization, their trust in the organization, and the organization’s positive reputation. The perceived risk of donating negatively influences repeat donation intention. It is surprising, however, that a sense of moral obligation to help others does not impact respondents’ intention to continue donating.
The 18F-FDG PET Cingulate Island Sign and Comparison to 123I-β-CIT SPECT for Diagnosis of Dementia with Lewy Bodies

Neuroimaging is increasingly used to supplement the clinical diagnosis of dementia with Lewy bodies (DLB) by showing reduced occipital metabolism and perfusion and reduced striatal dopaminergic innervation. We aimed to optimize the interpretation of 18F-FDG PET images for differentiating DLB from Alzheimer disease (AD) and to compare the results with dopamine transporter imaging using 123I-β-carbomethoxy-3ß-(4-iodophenyl)tropane (123I-β-CIT) SPECT. Methods: Fourteen subjects with a clinical diagnosis of DLB and 10 with AD underwent both 18F-FDG PET and 123I-β-CIT SPECT. Four DLB and 1 AD diagnoses were subsequently confirmed at autopsy. Diagnostic accuracy was calculated for visual interpretation by 3 readers of standard 3-plane and stereotactic surface projection 18F-FDG PET images, receiver-operating-characteristic analysis of regional 18F-FDG uptake, and a cutoff value for the striatal-to-occipital binding ratio of β-CIT defined by receiver-operating-characteristic analysis. Results: Visual interpretation of 3-plane 18F-FDG PET images had a sensitivity of 83% and specificity of 93% for DLB, slightly higher than the results with the stereotactic surface projection images. Regionally, hypometabolism in the lateral occipital cortex had the highest sensitivity (88%), but relative preservation of the mid or posterior cingulate gyrus (cingulate island sign) had the highest specificity (100%). Region-of-interest analysis revealed that occipital hypometabolism and relative preservation of the posterior cingulate both had a sensitivity of 77% and specificity of 80%. β-CIT achieved 100% accuracy and greater effect size than did 18F-FDG PET (Cohen d = 4.1 vs. 1.9). Conclusion: Both 18F-FDG PET and 123I-β-CIT SPECT appear useful for the diagnosis of DLB, although the latter provides more robust results. The cingulate island sign may enhance the specificity of 18F-FDG PET.
Ways and Deterrents to College Cheating: An International Study

This study examines the methods students use to cheat on class examinations and suggested ways of deterring using an international sample from Australia, China, Ireland, and the United States. We also examine the level of cheating and reasons for cheating that prior research has highlighted as a method of demonstrating that our sample is equivalent to those in prior studies. Our results confirm the results of prior research that primarily employs students from the United States. The data indicate that actions such as having multiple versions of the examination and scrambling the questions on these versions would deter cheating. Additionally, given the increased level of cheating and students’ increased perception of the social acceptability of cheating in college, the data provided by our international sample also suggest that some relatively simple precautions by instructors could dramatically reduce the level of cheating on in-class examinations.
Distributed Sensing of Fluid Dynamic Phenomena with the XDense Sensor Grid Network

Dense is a proposed wired mesh grid sensor network system tailored for scenarios that benefit from thousands of sensors per square meter. Dense has scalable network topology and protocols, customizable to application specifics, that enables complex feature extraction in real time from observed phenomena by exploiting communication and distributed processing capabilities of such network topologies. Dense has been designed with closed-loop CPS applications like active flow control of aircraft wing surfaces in mind. It uses a plug-n-play architecture that allows dimensioning of application specific networks. In this paper, we evaluate the performance of Dense in a fluid dynamic application scenario. With experiments on feature detection and real time scenarios, we demonstrate the potential of the architecture and discuss practical implementation issues.
Long-term magnesium supplementation improves arterial stiffness in overweight and obese adults: results of a randomized, double-blind, placebo-controlled intervention trial.

BACKGROUND Epidemiologic studies have suggested a protective effect of magnesium intake on cardiovascular disease risk. However, intervention trials of magnesium supplementation on blood pressure and conventional cardiometabolic risk markers are inconsistent. Effects on vascular function markers related to cardiovascular disease risk have rarely been studied. OBJECTIVE The objective was to evaluate the effects of long-term magnesium supplementation on arterial stiffness. DESIGN We performed a 24-wk, randomized, double-blind, placebo-controlled intervention study. Fifty-two overweight and slightly obese individuals (30 men and 22 postmenopausal women, mean ± SD age: 62 ± 6 y) were randomly allocated to receive either 3 times daily magnesium (3 × 117 mg or 350 mg/d) or placebo capsules. Twenty-four-hour urine collections and 24-h ambulatory blood pressure assessments were performed at the start and end of the study. Carotid-to-femoral pulse wave velocity (PWVc-f) was assessed at baseline, after 12 wk, and at week 24. RESULTS Serum magnesium concentrations did not differ after 12 wk but tended to increase after 24-wk magnesium supplementation compared with placebo by 0.02 mmol/L (95% CI: 0.00, 0.04 mmol/L; P = 0.09). Twenty-four-hour urinary magnesium excretion increased by 2.01 mmol (95% CI: 1.22, 2.93 mmol; P < 0.001) at week 24. PWVc-f was not changed after 12 wk (0.0 m/s; 95% CI: -0.6, 0.5 m/s; P = 0.90) but was improved in the magnesium compared with the placebo group by 1.0 m/s (95% CI: 0.4, 1.6 m/s; P = 0.001) after 24 wk. Office and 24-h ambulatory blood pressure levels were not changed. No adverse events were observed. CONCLUSION Our data indicate that a daily magnesium supplement of 350 mg for 24 wk in overweight and obese adults reduces arterial stiffness, as estimated by a decrease in PWVc-f, suggesting a potential mechanism by which an increased dietary magnesium intake beneficially affects cardiovascular health. This trial was registered at clinicaltrials.gov as NCT02235805.
Designing OS for HPC Applications: Scheduling

Operating systems have historically been implemented as independent layers between hardware and applications. User programs communicate with the OS through a set of well defined system calls, and do not have direct access to the hardware. The OS, in turn, communicates with the underlying architecture via control registers. Except for these interfaces, the three layers are practically oblivious to each other. While this structure improves portability and transparency, it may not deliver optimal performance. This is especially true for High Performance Computing (HPC) systems, where modern parallel applications and multi-core architectures pose new challenges in terms of performance, power consumption, and system utilization. The hardware, the OS, and the applications can no longer remain isolated, and instead should cooperate to deliver high performance with minimal power consumption. In this paper we present our experience with the design and implementation of High Performance Linux (HPL), an operating system designed to optimize the performance of HPC applications running on a state-of-the-art compute cluster. We show how characterizing parallel applications through hardware and software performance counters drives the design of the OS and how including knowledge about the architecture improves performance and efficiency. We perform experiments on a dual-socket IBM POWER6 machine, showing performance improvements and stability (performance variation of 2.11% on average) for NAS, a widely used parallel benchmark suite.