Miracle-dz/UniFAR-FTUs huggingface dataset:
Stress Diffusion through Complex Networks

Research has proven that stress reduces quality of life and causes many diseases. It is not clear how stress spreads among the population and how its diffusion in a society can be estimated. From a complex system perspective, this paper defines the rules of stress transmission, including input and output factors. Stress transmission flow is defined to describe an entropy-derived measure of stress between two interconnected individuals, and the analysis is extended to networked individuals to analyze stress diffusion in a theoretical setting that includes the modeling of complex networks and the use of agent-based models in a simulated framework. These approaches endow artificial, interacting agents with behavioral rules, allowing the authors to determine the important components that must be considered as the nature of the equilibrium that exists between two distinctly different classifications of individuals. The first classification is "isolated individuals" who experience self-induced stress. The second classification consists of "too connected individuals" who have a high perception of social pressure, have a higher probability of being stressed, and who are surrounded by a higher number of stressed people.
180° turn while walking: characterization and comparisons between subjects with and without stroke

[Purpose] Limitations in performing the 180°-turning increase the risk of falls and disabilities in stroke patients. The aim of this study was to characterize and compare the 180°-turning between people with and without stroke, considering the direction towards which they turned. [Subjects and Methods] Fourteen subjects with stroke and 14 matched healthy controls performed the 180°-turning twice while walking: towards the self-selected, and the opposite directions. The turning performances were recorded using three video cameras. The videos were randomly analyzed by a single examiner, who characterized the turning, while considering the time required to complete the task, the number of steps, balance, and turning type. Friedman Tests and ANOVA (2 × 2) were used to compare the groups and turning direction factors (turning towards the self-selected versus opposite sides, and towards the paretic/non-dominant versus non-paretic/dominant sides). [Results] No interaction between the groups and turning directions, and no significant differences between the turning directions were found. However, significant differences were found between the groups for all variables used to characterize the turning performance, except for the type of turning. [Conclusion] Stroke subjects demonstrated poor performance on the 180°-turning, regardless of the turning direction. Duration, number of steps, and balance loss indicated difficulties in turn performance.
Feedback dose alteration significantly affects probability of pathogen eradication in nosocomial pneumonia

Nosocomial pneumonia (NP) is associated with considerable morbidity and mortality. Data have shown that inadequate initial antibiotic therapy is a major risk for infection-attributed mortality. The aim of the present study was to measure antibiotic concentration and minimum inhibitory concentration (MIC) in infected hospitalised patients early in therapy, in order to determine whether dose alterations, in those with low drug concentrations, could affect outcomes. Only patients treated with aminoglycosides, fluoroquinolones, and β-lactams were evaluated. MICs were determined using standard National Committee for Clinical Laboratory Standards procedures. Antibiotics were assayed using validated high-performance liquid chromatographic methods. Pharmacokinetic/pharmacodynamic markers adopted were: aminoglycoside peak/MIC ratio ≥8 mg·L−1; fluoroquinolone peak/MIC ≥10 mg·L−1; β-lactam peak/MIC ≥4 mg·L−1 and time that plasma levels remain above the MIC ≥70%. 638 patients with NP were included in the study. In 205 patients, both drug concentration and isolate MIC were available, while in other patients, used as controls, one or both parameters were lacking. For clinical outcome, the Acute Physiology and Chronic Health Evaluation II score (p<0.0001), the presence of combination therapy (p = 0.0014) and whether both MIC and drug concentration(s) were measured (p = 0.0002) significantly affected the probability of a good outcome. For microbiological outcome, the MIC for the β-lactams (≤2 mg·L−1; p<0.0001) and whether the second drug was a fluoroquinolone or aminoglycoside (fluoroquinolones were better than aminoglycosides; p = 0.0177), as well as whether both MIC and drug concentration(s) were measured (p = 0.02), affected the probability of eradication. Measurement of drug concentrations and determination of pathogen MIC values with subsequent dose alteration significantly improves the probability of good clinical outcome and pathogen eradication in NP.
UNSUPERVISED CLASSIFICATION OF WHOLE BRAIN fMRI DATA WITH ARTIFICIAL NEURAL NETWORKS

In the present study, we apply the Self Organizing Map (SOM) algorithm for classifying cognitive states from fMRI data without prior selection of spatial or temporal features. In addition, we compare our method with two other models. We applied the method to single-subject as well as multi-subject classification. BOLD signals from subjects viewing emotional pictures of positive, neutral and negative valences were acquired during a block design experiment, and classified with an unsupervised non-linear method, the SOM. We demonstrate here that, in terms of classification performance, the SOM algorithm outperforms an SVM algorithm when processing whole brain data, and performs as well as methods (SVM and KCCA) working with temporal compression or spatial feature selection. Our method presents three phases: data dimensionality reduction : where non functional data are deleted, SOM algorithm training : where statistic regularities relevant for classification are extracted, SOM algorithm test : where the subject’s brain state is predicted from his brain activity.
Stimulus recognition and the mere exposure effect.

A meta-analysis of research on Zajonc's (1968) mere exposure effect indicated that stimuli perceived without awareness produce substantially larger exposure effects than do stimuli that are consciously perceived (Bornstein, 1989a). However, this finding has not been tested directly in the laboratory. Two experiments were conducted comparing the magnitude of the exposure effect produced by 5-ms (i.e., subliminal) stimuli and stimuli presented for longer durations (i.e., 500 ms). In both experiments, 5-ms stimuli produced significantly larger mere exposure effects than did 500-ms stimuli. These results were obtained for polygon (Experiment 1), Welsh figure (Experiment 2), and photograph stimuli (Experiments 1 and 2). Implications of these findings for theoretical models of the mere exposure effect are discussed.
Exploring Online Learning Profiles of In-service Teachers in a Professional Development Course

This study aimed to explore online learning profiles of in-service teachers in South Korea, focusing on video lecture and discussion activities. A total of 269 teachers took an online professional development course for 14 days, using an online learning platform from which web log data were collected. The data showed the frequency of participation and the initial participation time, which was closely related to procrastinating behaviors. A cluster analysis revealed three online learning profiles of in-service teachers: procrastinating (n=42), passive interaction (n=136), and active learning (n=91) clusters. The active learning cluster showed high-level participation in both video lecture and discussion activities from the beginning of the online course, whereas the procrastinating cluster was seldom engaged in learning activities for the first half of the learning period. The passive interaction cluster was actively engaged in watching video lectures from the beginning of the online course but passively participated in discussion activities. As a result, the active learning cluster outperformed the passive interaction cluster in learning achievements. The findings were discussed in regard to how to improve online learning environments through considering online learning profiles of in-service teachers.
Reducing transistor count in clocked standard cells with ambipolar double-gate FETs

This paper presents a set of circuit design approaches to achieve clocked standard logic cell functions with ambipolar double-gate devices such as the Double Gate Carbon Nanotube FET (DG-CNTFET). The cells presented in this work use the infield controllability of the device to reduce transistor count over conventional standard cells by only requiring n+1 transistors (where n is the fan-in), and achieve improved time delay by a factor of 2 for comparable power consumption.
Growth Phase-Dependent Proteomes of the Malaysian Isolated Lactococcus lactis Dairy Strain M4 Using Label-Free Qualitative Shotgun Proteomics Analysis

Lactococcus lactis is the most studied mesophilic fermentative lactic acid bacterium. It is used extensively in the food industry and plays a pivotal role as a cell factory and also as vaccine delivery platforms. The proteome of the Malaysian isolated L. lactis M4 dairy strain, obtained from the milk of locally bred cows, was studied to elucidate the physiological changes occurring between the growth phases of this bacterium. In this study, ultraperformance liquid chromatography nanoflow electrospray ionization tandem mass spectrometry (UPLC- nano-ESI-MSE) approach was used for qualitative proteomic analysis. A total of 100 and 121 proteins were identified from the midexponential and early stationary growth phases, respectively, of the L. lactis strain M4. During the exponential phase, the most important reaction was the generation of sufficient energy, whereas, in the early stationary phase, the metabolic energy pathways decreased and the biosynthesis of proteins became more important. Thus, the metabolism of the cells shifted from energy production in the exponential phase to the synthesis of macromolecules in the stationary phase. The resultant proteomes are essential in providing an improved view of the cellular machinery of L. lactis during the transition of growth phases and hence provide insight into various biotechnological applications.
Radar imaging based on compressed sensing by random convolution

Compressed Sensing (CS) theory provides great possibilities for resolving problems associated with traditional high resolution radar, such as high sampling rate, too many data and difficulties of real time processing. Sensing by random convolution is a universally efficient data acquisition strategy and easy to realize. This paper focuses on radar imaging technique based on CS by random convolution, researches into several different random downsampling strategies. Experiments from simulated data and real data verify the validity of the proposed imaging method, also the influences of SNR and downsampling strategy on imaging performance are analyzed and compared. Finally the problems need further research are pointed out.
Barreiras organizacionais à inovação: um estudo para identificar os fatores que desestimulam o ímpeto inovador das empresas

As empresas contemporâneas preocupam-se cada vez mais com a inovacao por entenderem ser esta a base dos ganhos de competitividade e de diferenciacao. No entanto, existem fatores internos que agem como barreiras a inovacao, dificultando o desenvolvimento de novos processos e produtos. Assim, mesmo que eficientes modelos de gestao da inovacao existam, todo o entorno pode minar os esforcos, caso as barreiras nao sejam identificadas e tratadas. Este trabalho tem como objetivo analisar e identificar barreiras organizacionais a inovacao mais frequentes dentro das empresas, por meio de um estudo qualitativo exploratorio realizado com profissionais e especialistas atuantes na area. O estudo foi feito a partir de entrevistas diretas com profissionais de seis empresas consideradas inovadoras. O tratamento dos dados seguiu a analise de conteudo proposta por Bardin (1977). Os resultados apontaram diversos fatores organizacionais que podem restringir o desenvolvimento de inovacoes nas empresas, apontando para futuras pesquisas que investiguem os fatores externos que agem como barreiras a inovacao.
An Overview of Curcumin in Neurological Disorders

Curcumin, the principal curcuminoid found in spice turmeric, has recently been studied for its active role in the treatment of various central nervous system disorders. Curcumin demonstrates neuroprotective action in Alzheimer's disease, tardive dyskinesia, major depression, epilepsy, and other related neurodegenerative and neuropsychiatric disorders. The mechanism of its neuroprotective action is not completely understood. However, it has been hypothesized to act majorly through its anti-inflammatory and antioxidant properties. Also, it is a potent inhibitor of reactive astrocyte expression and thus prevents cell death. Curcumin also modulates various neurotransmitter levels in the brain. The present review attempts to discuss some of the potential protective role of curcumin in animal models of major depression, tardive dyskinesia and diabetic neuropathy. These studies call for well planned clinical studies on curcumin for its potential use in neurological disorders.
Quantum Model for Remote Replication

A model for remote replication of DNA is proposed. The motivating experimental discoveries are phantom DNA, the evidence for remote gene activation by scattered laser light from similar genome, and the recent findings of Montagnier's and Gariaev's groups suggesting remote DNA replication. Phantom DNA is identified as dark nucleon sequences predicted by quantum TGD with dark nucleons defining naturally the analogs of DNA, RNA, tRNA, and amino-acids and realization of vertebrate genetic code. The notion of magnetic body defining a hierarchy of flux quanta realize as flux tubes connecting DNA nucleotides contained inside flux tubes connecting DNA codons and a condensed at flux sheets connecting DNA strands is an essential element of the model. Dark photons with large value of Planck constant coming as integer multiple of ordinary Planck constant propagate along flux quanta connecting biomolecules: this realizes the idea about wave DNA. Biomolecules act as quantum antennas and those with common antenna frequencies interact resonantly.
Production-Driven Patch Generation and Validation

We envision a world where the developer would receive each morning in her GitHub dashboard a list of potential patches that fix certain production failures. For this, we propose a novel program repair scheme, with the unique feature of being applicable to production directly. We present the design and implementation of a prototype system for Java, called Itzal, that performs patch generation for uncaught exceptions in production. We have performed two empirical experiments to validate our system: the first one on 34 failures from 14 different software applications, the second one on 16 seeded failures in 3 real open-source e-commerce applications for which we have set up a realistic user traffic. This validates the novel and disruptive idea of using program repair directly in production.
From Cognition to Consciousness: A Discussion About Learning, Reality Representation, and Decision Making

The scientific understanding of cognition and consciousness is currently hampered by the lack of rigorous and universally accepted definitions that permit comparative studies. This article proposes new functional and unambiguous definitions for cognition and consciousness in order to provide clearly defined boundaries within which general theories of cognition and consciousness may be developed. The proposed definitions are built upon the construction and manipulation of reality representation, decision making, and learning and are scoped in terms of an underlyinglogical structure. It is argued that the presentation of reality also necessitates the concept of absence and the capacity to perform transitive inference. Explicit predictions relating to these new definitions, along with possible ways to test them, are also described and discussed.
Learning Graphs with a Few Hubs

We consider the problem of recovering the graph structure of a "hub-networked" Ising model given i.i. d. samples, under high-dimensional settings, where number of nodes p could be potentially larger than the number of samples n. By a "hub-networked" graph, we mean a graph with a few "hub nodes" with very large degrees. State of the art estimators for Ising models have a sample complexity that scales polynomially with the maximum node-degree, and are thus ill-suited to recovering such graphs with a few hub nodes. Some recent proposals for specifically recovering hub graphical models do not come with theoretical guarantees, and even empirically provide limited improvements over vanilla Ising model estimators. Here, we show that under such low sample settings, instead of estimating "difficult" components such as hub-neighborhoods, we can use quantitative indicators of our inability to do so, and thereby identify hub-nodes. This simple procedure allows us to recover hub-networked graphs with very strong statistical guarantees even under very low sample settings.
La retroalimentación en la enseñanza de la expresión escrita en Inglés. Un proyecto de desarrollo profesional

Writing in English is the skill with the lowest grade of development within the discipline Integrated English Practice.Professors of this discipline do not use a unique system of symbols to correct indirectly the errors of their students, and do not have either the knowledge or skills necessary to provide an effective feedback. Acontinuing professional development project generatedinterest and collaborative effort from the professors of the discipline, who perfected their skills of error correction, their capacity to offer effective feedback, and their abilities to promote a process of self-development in their students, with their post feedback remedial sessions.
The influence of saddle-shaped annuloplasty on leaflet curvature in patients with ischaemic mitral regurgitation.

OBJECTIVES Reports indicate that repair procedures for ischaemic mitral regurgitation (IMR) are less durable than previously thought. Repair failure has been shown to be stress related. Leaflet curvature is the major determinant of valve stress. Theoretical and animal experiments have shown that saddle-shaped annuloplasty optimizes leaflet curvature when compared with standard flat ring annuloplasty. Despite this, the influence of the ring shape on leaflet curvature has not been described in patients with IMR. This study uses real-time three-dimensional echocardiography (rt-3DE) to assess the influence of the ring shape on leaflet curvature. METHODS Rt-3DE was performed in 21 patients with IMR after placement of either a flat (n = 10, CE-Physio, Edwards) or saddle-shaped (n = 11, Profile 3D, Medtronic) annuloplasty ring. A combination of commercially available and customized software was used to measure multiple leaflet curvature parameters across all regions of the mitral valve. RESULTS Independently of the shape of the annuloplasty ring, all patients were subject to the same degree of annular undersizing. Patients who received saddle-shaped annuloplasty rings had greater leaflet curvature in all six mitral valve leaflet regions (A1 = 0.36 ± 0.10, A2 = 0.53 ± 0.13, A3 = 0.47 ± 0.13, P1 = 0.35 ± 0.23, P2 = 0.53 ± 0.34, P3 = 0.42 ± 0.20 cm(-2)) compared with patients who received flat annuloplasty rings (A1 = 0.16 ± 0.11, A2 = 0.18 ± 0.09, A3 = 0.16 ± 0.11, P1 = 0.20 ± 0.17, P2 = 0.21 ± 0.11, P3 = 0.18 ± 0.13 cm(-2)). These differences were statistically significant in all regions except the P1 region. CONCLUSIONS Saddle-shaped annuloplasty rings increase leaflet curvature compared with flat rings in patients with IMR. As a result, saddle-shaped annuloplasty may decrease leaflet stress and potentially increases the durability of the repair in patients with IMR.
Title: Scaling and Coordination Deficits during Dynamic Object Manipulation in Parkinson's 1 Disease 2

Title: Scaling and Coordination Deficits during Dynamic Object Manipulation in Parkinson’s 1 Disease 2 3 Authors: 4 Joseph Snider, Dongpyo Lee, Deborah L. Harrington, Howard Poizner 5 6 1) Institute of Neural Computation, University of California, San Diego, La Jolla, CA, USA 7 2) Research Service, VA San Diego Healthcare System, La Jolla, California, United States of 8 America 9 3) Department of Radiology, University of California San Diego, La Jolla, CA, USA 10 4) Graduate Program in Neurosciences, University of California, San Diego, La Jolla, CA, USA 11 12 Abbreviated title: Scaling and Coordination in Parkinson’s Disease 13 14 Keyword: Parkinson’s Disease, Reaching, Grasping, Self-similarity 15 16 Correspondence to: H. Poizner, Institute of Neural Computation, University of California, San 17 Diego, 9500 Gilman Drive MC 0523, La Jolla, CA 92093-0523, USA. Email: 18 hpoizner@ucsd.edu. 19 20 Articles in PresS. J Neurophysiol (April 23, 2014). doi:10.1152/jn.00041. 2014
Mobile IPTV Expanding the Value of IPTV

IPTV stands for Internet protocol television. In other words, users who have any kinds of IP devices are able to watch television wherever they are. This paper illustrates how IPTV would be adopted to wireless and mobile networks with regards to mobile device called mobile IPTV taking relevant technical issues into consideration. Through mobile IPTV, users can use IPTV services anywhere on earth using IP and while on the move. Currently, ITU-T FG IPTV is at the front head of IPTV standardization. Hence, this paper sums up what is going on in ITU-T FG IPTV in terms of mobile IPTV. This paper helps out the IPTV service provider to prepare as to what technical concerns and issues need to be considered for mobile IPTV services.
Toward Heterogeneous Computing to Facilitate Sequential OLAP Real-Time Applications

Over the last decade, due to the need of analyzing and studying the logical order that data exhibit in various industries, sequential data storage and processing field has attracted a significant number of researchers. Recently, sequential OLAP has emerged as one of sequential data subfields whereby traditional OLAP - which mainly utilizes a set data-based analysis, do not satisfy the hunger of performing pattern-based operations and time-based analysis. Such analyses can provide an insightful perspective and reveal hidden correlations among events patterns through time. Therefore, extended query languages, new OLAP cube models and optimized algorithms and infrastructures have been introduced. However, the ever grown data size has always been deemed a major hurdle in the way of fully taking advantage of this data. In this context, and based on our proposed optimized heterogeneous Rabin-Karp algorithm earlier, we suggest a high performance sequential pattern detection approach that works in harmony Sequential OLAP processing requirements. The optimized algorithm is dedicated to detect patterns over parallel data streams in Real-Time. The empirical results have shown more than ten times speedup over the multi-core version.
Asynchronous high speed serial links analysis using integrated charge for event detection

We present a metric for event detection, targeted for the analysis of CMOS asynchronous serial data links. Our metric is used to analyze signaling strategies that allow for coincident or nearly coincident detection of both data and event timing. The metric predicts that the CMOS link signaling mechanism has substantial implicit dispersion and intersymbol interference [ISI] tolerance when compared to conventionally timed links. In fact, it predicts correct link operation in situations where eye-diagram techniques predict link failure. Practical operation margins and metrics are described and evaluated for PCB and cabling solutions suggesting 10+ Gb/s low-power asynchronous links could be implemented in CMOS 130nm technology.