Miracle-dz/UniFAR-FTUs huggingface dataset:
Speech Emotion Recognition Based on SVM Using MATLAB

In this paper methodology for emotion recognition from speech signal is presented. Here, some of acoustic features are extracted from speech signal to analyze the characteristics and behavior of speech. The system is used to recognize the basic emotions: Anger, Happiness, Sadness and Neutral. It can serve as a basis for further designing an application for human like interaction with machines through natural language processing and improving the efficiency of emotion. In this, formant, energy, Mel Frequency Cepstral Coefficients (MFCC) has been used for feature extraction from the speech signal. Support Vector Machine (SVM) are used for recognition of emotional states. English datasets are used for analysis of emotions with SVM Kernel functions. Using this analysis the machine is trained and designed for detecting emotions in real time speech.
Diabetes Is Not Associated With Increased 90-Day Mortality Risk in Critically Ill Patients With Sepsis

Objectives: To determine the association of pre-existing diabetes, hyperglycemia, and hypoglycemia during the first 24 hours of ICU admissions with 90-day mortality in patients with sepsis admitted to the ICU. Design: We used mixed effects logistic regression to analyze the association of diabetes, hyperglycemia, and hypoglycemia with 90-day mortality (n = 128,222). Setting: All ICUs in the Netherlands between January 2009 and 2014 that participated in the Dutch National Intensive Care Evaluation registry. Patients: All unplanned ICU admissions in patients with sepsis. Interventions: The association between 90-day mortality and pre-existing diabetes, hyperglycemia, and hypoglycemia, corrected for other factors, was analyzed using a generalized linear mixed effect model. Measurements and Main Results: In a multivariable analysis, diabetes was not associated with increased 90-day mortality. In diabetes patients, only severe hypoglycemia in the absence of hyperglycemia was associated with increased 90-day mortality (odds ratio, 2.95; 95% CI, 1.19–7.32), whereas in patients without pre-existing diabetes, several combinations of abnormal glucose levels were associated with increased 90-day mortality. Conclusions: In the current retrospective large database review, diabetes was not associated with adjusted 90-day mortality risk in critically ill patients admitted with sepsis.
A-Kinase Anchoring Protein 9 and IKs Channel Regulation

Abstract A-kinase anchoring proteins (AKAPs) create compartmentalized environment inside the cell to bring various signaling molecules to their targets. In the heart, a slowly activating potassium channel (IKs) important for cardiac repolarization is tightly regulated by the sympathetic nervous system in an AKAP-dependent manner. IKs channel forms a macromolecular complex with AKAP9 and other enzymes, such as protein kinase A, phosphatase, adenylyl cyclase, and phosphodiesterase, all of which are responsible to control the phosphorylation state of the channel. Such a complex thus ensures the IKs channel to be regulated properly to maintain the normal cardiac rhythm. Disruptions of various elements of the complex have been found to cause severe pathological consequences, including the long QT syndrome.
How do community-dwelling LGBT people perceive sexuality in residential aged care? A systematic literature review

ABSTRACT Objectives: To investigate what empirical studies report on the perceptions of community-dwelling LGBT adults regarding sexuality and sexual expression in residential aged care (RAC), and how their sexuality should be addressed in RAC. Methods: Relevant papers were identified through electronic searches in databases; and by reference tracking and citation tracking. Data were extracted using a standardized data extraction form and were compared, related, and synthesized using thematic analyses. We evaluated the methodological quality of the studies. Results: Eighteen articles were identified. Three major topics emerged regarding sexuality in RAC: (1) factors affecting LGBT people's perceptions, subdivided into (a) discrimination, (b) loss of sexual identity, (c) failure to acknowledge the same-sex partner, and (d) lack of privacy; (2) LGBT-specific RAC facilities; and (3) characteristics of LGBT friendly RAC facilities and caregivers. Conclusions: LGBT people have clear perceptions about how sexuality and sexual expression is or should be managed in RAC. Despite the general increase in acceptance of sexual minorities, many community-dwelling LGBT people believe older LGBT residents are discriminated against because of their sexual orientation or gender identity. Taking into account these opinions is crucial for increasing accessibility of RAC to LGBT people and to ensure the quality of the provided care.
Epidermolytic hyperkeratosis with polycyclic posoriasiform plaques resulting from a mutation in the keratin 1 gene

Epidermolytic hyperkeratosis (EHK) is a genodermatosis caused by mutations in either the keratin 1 (K1) or keratin 10 (K10) genes, and characterized by erythroderma and blistering at birth, with development of a ribbed, ichthyotic hyperkeratosis and palmoplantar keratoderma. A wide variety of mutations within the highly conserved helix termination motifs of the central rod domains of the K1 or K10 genes correlate with the highly variable phenotypic severity observed in EHK. We report a unique EHK‐like phenotype exhibiting autosomal dominant inheritance with variable expressivity in four affected individuals in a single family. Clinically, affected individuals manifest transient blistering at birth followed by chronic diffuse palmoplantar keratoderma without transgradiens. Intermittent flares of non‐migratory polycylic erythematous psoriasiform plaques which worsen and abate in severity were present in all affected individuals, but showed immense individual variation in both severity and duration, ranging from weeks to months. Histopathologic examination of the psoriasiform plaques demonstrated the characteristic features of EHK. Sequencing of the K1 gene in affected family members revealed a heterozygous A‐to‐T transversion at nucleotide 1435 within exon 7, converting isoleucine (ATT) to phenylalanine (TTT), (I479F). The mutation resides within the highly conserved helix termination motif of the helix 2B segment of the K1 gene. This unique clinical phenotype and the associated K1 mutation have not been previously described, and the associated K1 mutation have not been previously described, and it is referred to here as EHK with polycyclic, psoriasiform plaques (EHK/PPP).
Cellular transformation by SV40 large T antigen: interaction with host proteins.

SV40 large T antigen (TAg) is a powerful oncoprotein capable of transforming a variety of cell types. The transforming activity of TAg is due in large part to its perturbation of the retinoblastoma (pRB) and p53 tumor suppressor proteins. In addition, TAg binds to several other cellular factors, including the transcriptional co-activators p300 and CBP, which may contribute to its transformation function. Several other features of TAg that appear to contribute to its full transformation potential are yet to be completely understood. Study of TAg therefore continues to provide new insights into the mechanism of cellular transformation.
ERK1-Deficient Mice Show Normal T Cell Effector Function and Are Highly Susceptible to Experimental Autoimmune Encephalomyelitis1

T cell activation engages multiple intracellular signaling cascades, including the ERK1/2 (p44/p42) pathway. It has been suggested that ERKs integrate TCR signal strength, and are important for thymocyte development and positive selection. However, the requirement of ERKs for the effector functions of peripheral mature T cells and, specifically, for T cell-mediated autoimmunity has not been established. Moreover, the specific requirements for ERK1 vs ERK2 in T cells have not been resolved. Therefore, we investigated the role of ERK1 in T cell immunity to foreign and self Ags and in the induction of experimental autoimmune encephalomyelitis. The results show that in ERK1-deficient (ERK1−/−) mice, the priming, proliferation, and cytokine secretion of T cells to the self Ag myelin oligodendrocyte glycoprotein peptide 35–55 and to the prototypic foreign Ag OVA are not impaired as compared with wild-type mice. Furthermore, ERK1−/− mice are highly susceptible to experimental autoimmune encephalomyelitis induced with myelin oligodendrocyte glycoprotein peptide 35–55. Finally, thymocyte development and mitogen-induced proliferation were not impaired in ERK1−/− mice on the inbred 129 Sv and C57BL/6 backgrounds. Collectively, the data show that ERK1 is not critical for the function of peripheral T cells in the response to self and foreign Ags and in T cell-mediated autoimmunity, and suggest that its loss can be compensated by ERK2.
Effects of group psychotherapy on anger management following acquired brain injury

Abstract Objective: To assess the effects of an anger management group programme for patients with acquired brain injury (ABI) on self-reported anger and to identify specific effects of intervention components at different time-points. Participants: Twenty-six participants with ABI were randomized, 24 started the programme and 19 completed it. Design: A paired-randomization was held following the first baseline (T0) and a second baseline (T1) was held several weeks later. One group (n = 8) started with an 8-week anger management programme followed by a 4-week intervention focusing on the psychosocial impact of brain injury. This order was reversed in the other group (n = 11). Assessment was carried-out every 4 weeks (T1–T4) during the 12-week intervention period. Main outcome measures: The Aggression Questionnaire-12, The State-Trait Anger and Expression Inventory-2 and The Multidimensional Anger Reaction Scale. Results: Anger levels did not significantly change between T0 and T1, but decreased significantly at T4. Adaptive anger coping strategies also increased following intervention. Inwardly expressed anger decreased following the anger management programme compared to the psychosocial adjustment programme. Conclusions: Group psychotherapy may improve parameters of anger management in patients with ABI. However, specific effects of different components of the anger management programme merit further investigation.
Motion Control Based on Dimensional Reduction and Human Computer Interaction

owing to the high dimension characteristic of motion in catching original data, the high dimensional original data will be projected into low dimensional sub space. This paper applies key frame and dimension reduction method based on several machine learning methods to handle motion capture data. Based on subspace, the human-computer interaction techniques are used to shrink the gap between user’s high-level perception and the low-level features of three-dimensional human motion in the system. After a series of experimental results, our method improves performance of motion retrieval and control.
Predicting treatment response to cognitive behavioral therapy in panic disorder with agoraphobia by integrating local neural information.

IMPORTANCE Although neuroimaging research has made substantial progress in identifying the large-scale neural substrate of anxiety disorders, its value for clinical application lags behind expectations. Machine-learning approaches have predictive potential for individual-patient prognostic purposes and might thus aid translational efforts in psychiatric research. OBJECTIVE To predict treatment response to cognitive behavioral therapy (CBT) on an individual-patient level based on functional magnetic resonance imaging data in patients with panic disorder with agoraphobia (PD/AG). DESIGN, SETTING, AND PARTICIPANTS We included 49 patients free of medication for at least 4 weeks and with a primary diagnosis of PD/AG in a longitudinal study performed at 8 clinical research institutes and outpatient centers across Germany. The functional magnetic resonance imaging study was conducted between July 2007 and March 2010. INTERVENTIONS Twelve CBT sessions conducted 2 times a week focusing on behavioral exposure. MAIN OUTCOMES AND MEASURES Treatment response was defined as exceeding a 50% reduction in Hamilton Anxiety Rating Scale scores. Blood oxygenation level-dependent signal was measured during a differential fear-conditioning task. Regional and whole-brain gaussian process classifiers using a nested leave-one-out cross-validation were used to predict the treatment response from data acquired before CBT. RESULTS Although no single brain region was predictive of treatment response, integrating regional classifiers based on data from the acquisition and the extinction phases of the fear-conditioning task for the whole brain yielded good predictive performance (accuracy, 82%; sensitivity, 92%; specificity, 72%; P < .001). Data from the acquisition phase enabled 73% correct individual-patient classifications (sensitivity, 80%; specificity, 67%; P < .001), whereas data from the extinction phase led to an accuracy of 74% (sensitivity, 64%; specificity, 83%; P < .001). Conservative reanalyses under consideration of potential confounders yielded nominally lower but comparable accuracy rates (acquisition phase, 70%; extinction phase, 71%; combined, 79%). CONCLUSIONS AND RELEVANCE Predicting treatment response to CBT based on functional neuroimaging data in PD/AG is possible with high accuracy on an individual-patient level. This novel machine-learning approach brings personalized medicine within reach, directly supporting clinical decisions for the selection of treatment options, thus helping to improve response rates.
Effects of acute alcohol intoxication on automated processing: evidence from the double-step paradigm

Reflexive and voluntary levels of processing have been studied extensively with respect to possible impairments due to alcohol intoxication. This study examined alcohol effects at the ‘automated’ level of processing essential to many complex visual processing tasks (e.g., reading, visual search) that involve ongoing modifications or reprogramming of well-practiced routines. Data from 30 participants (16 male) were collected in two counterbalanced sessions (alcohol vs. no-alcohol control; mean breath alcohol concentration = 68 mg/dL vs. 0 mg/dL). Eye movements were recorded during a double-step task where 75% of trials involved two target stimuli in rapid succession (inter-stimulus interval [ISI] = 40, 70, or 100 ms) so that they could elicit two distinct saccades or eye movements (double steps). On 25% of trials a single target appeared. Results indicated that saccade latencies were longer under alcohol. In addition, the proportion of single-step responses and the mean saccade amplitude (length) of primary saccades decreased significantly with increasing ISI. The key novel finding, however, was that the reprogramming time needed to cancel the first saccade and adjust saccade amplitude was extended significantly by alcohol. The additional time made available by prolonged latencies due to alcohol was not utilized by the saccade programming system to decrease the number of two-step responses. These results represent the first demonstration of specific alcohol-induced programming deficits at the automated level of oculomotor processing.
Food Choices among White Adolescents: The Lipid Research Clinics Prevalence Study

ABSTRACT. Food groups have been widely used in nutrition education but relatively few studies have employed food groups to interpret dietary intake. The 24-h dietary recalls of 534 male and 476 female adolescents, aged 10-19 yr, were analyzed using a food grouping scheme. Foods were grouped with emphasis placed on fats and carbohydrates. Frequency of use and contribution of food groups to the macronutrients were determined. When nutrient intake was analyzed as a percentage of total calories, both males and females were found to have similar profiles. More than 60% of each macronutrient was contributed by combinations of three major food groups. The meat/fish/poultry, milk/cheese/yogurt, and bread/cereal products food groups contributed 81.2% of the protein; milk/cheese/yogurt, bread/cereal products and sweets accounted for 63.0% of the carbohydrate intake; and 74.3% of the dietary fat consumption was attributable to the meat/fish/poultry, milk/cheese/yogurt, and fats food groups. There were no notable differences in the food groups used by males and females. However, differences between the sexes emerged when nutrient intakes as a percentage of calories were stratified and food group usage was investigated. Food groups associated with macronutrients that are believed to affect health status have been identified.
Locus of Enterocyte Effacement-encoded Regulator (Ler) of Pathogenic Escherichia coli Competes Off Histone-like Nucleoid-structuring Protein (H-NS) through Noncooperative DNA Binding*

Background: Ler alleviates H-NS-mediated gene silencing. Results: Ler·DNA binding properties and Ler effects on H-NS·DNA binding are investigated using magnetic tweezers and atomic force microscopy. Conclusion: Ler binds noncooperatively to stiffen and fold DNA, and it can replace prebound H-NS in the conditions tested. Significance: The findings provide new insights into the molecular mechanism of anti-silencing by Ler. The locus of enterocyte effacement-encoded regulator (Ler) of enteropathogenic and enterohemorrhagic Escherichia coli (EPEC and EHEC) functions to activate transcription of virulence genes silenced by the histone-like nucleoid-structuring protein (H-NS). Despite its important role in the bacterial gene regulation, the binding mode of Ler to DNA and its mechanism in alleviating genes repressed by H-NS are largely unknown. In this study, we use magnetic tweezers to demonstrate that Ler binds extended DNA through a largely noncooperative process, which results in DNA stiffening and DNA folding depending on protein concentration. We also show that Ler can replace prebound H-NS on DNA over a range of potassium and magnesium concentrations. Our findings reveal the DNA binding properties of Ler and shed light to further understand the anti-silencing activity of Ler.
New Paradigm of Public Administration: Chaos Theory——Overview of Kiel's Managing Chaos and Complexity in Government

Just as natural science is impacted deeply by Newtonian dynamic, the research of public administration is also limited in it and tends to understand public administration with linear theory which emphasizes order and certainty of bureaucracy too much, while its uncertainty, instability and other complexity are ignored. As a new achievement of science, Chaos is majoring in nonlinear dynamic systems of bureaucracy, which can not only widen our knowledge of natural science, but also can offer new method and paradigm to study unpredictability and complexity of administration organization.
Evaluating the Detectability of Gaussian Stochastic Signals by Steepest Descent Integration

It is shown how to compute the detection probability of certain signals by numerical integration of the Laplace inversion integral involving the characteristic function or the moment-generating function of the detection statistic. The contour of integration is taken as the path of steepest descent of the integrand and is determined numerically as the integration proceeds. The method is applied to calculating the performance of the optimum detector of a Gaussian stochastic signal in white noise when the signals actually present have a different average s.n. r. from that assumed in the design. Results are presented for narrowband signals with Lorentz and rectangular spectral densities. The detectability of the former is shown to be more sensitive than that of the latter to the value of the design s.n. r. The relative disadvantage of the threshold detector, also assessed by this method, is smaller for signals with a rectangular than for those with a Lorentz spectral density.
Nanoscale Phenomena in Synthetic Functional Oxide Heterostructures

This paper reviews nanoscale phenomena such as polarization relaxation dynamics and piezoelectric characterization in model ferroelectric thin films and nanostructures using voltage-modulated scanning force microscopy. Using this technique we show the three-dimensional reconstruction of the polarization vector in lead zirconate titanate (PZT) thin films. Second, the time-dependent relaxation of remanent polarization in epitaxial PZT ferroelectric thin films, containing a uniform two-dimensional grid of 90° domains (c-axis in the plane of the film), has been investigated extensively. The 90° domain walls preferentially nucleate the 180° reverse domains during relaxation. Relaxation occurs through the nucleation and growth of reverse 180° domains, which subsequently coalesce and consume the entire region as a function of relaxation time. In addition we also present results on investigation of the relaxation phenomenon on a very local scale, where pinning and bowing of domain walls has been observed. We also show how this technique is used for obtaining quantitative information on piezoelectric constants and by engineering special structures, and how we realize ultrahigh values of piezoconstants. Last, we also show direct hysteresis measurements on nanoscale capacitors, where there is no observable loss of polarization in capacitors as small as 0.16 μm2 in area.
Application of wavelet cumulative energy and artificial neural network for classification of ferroresonance signal during symmetrical and unsymmetrical switching of three-phases distribution transformer

In the case of the presence of ferroresonance in distribution transformer due to a faulty switching operation, ferroresonance signals should be discriminated among its initiations due to opened single-phase, opened two-phases, and opened three-phases, so that ferroresonance mitigation can be conducted appropriately. However, the performance of mitigation system itself is highly determined by its accuracy in classification of such ferroresonance signals. This paper dealt with the application of wavelet cumulative energy as input of artificial neural network (ANN), that was feed-forward backpropagation network. Ferroresonance was initiated by varying grading capacitance of circuit breaker and switching operations. The fifth order of daubechies wavelet transform up to nine levels was applied to the secondary voltage of transformer. The detail signal at ninth level decomposition was then calculated its cumulative energy for the input of ANN. The ninth level detail signal and its cumulative energy showed that the ferroresonance signals were clearly distinguished between opened single-phase, opened two-phases, and opened three-phases. The ANN output also performed the satisfactory classification result.
Fast inversion in GF(2m) with polynomial basis using optimal addition chains

Inversion over GF(2m) is crucial for cryptographic applications such as elliptic curve cryptography. The commonly used Itoh-Tsujii algorithm (ITA) computes the inversion by an entirely sequential process consisting of multiplications and squarings. In this paper, we first propose a modified ITA algorithm (MITA) for inversion with polynomial basis (PB). The MITA reduces the required clock cycles of ITA inversion by enabling the parallel computation between part of multiplications and squarings. Furthermore, we generalize the MITA to inversion with arbitrary addition chains. Several criteria are proposed to find the optimal addition chains (OACs) leading to the fastest inverters with given hardware resources. Implemented on Xilinx Virtex-4 FPGA, the proposed inversion architecture with a digit-serial multiplier achieves averagely 61% faster speed with 69% less resources than previous designs with normal basis. Using a fully combinational multiplier, the OAC inverters outperform existing PB-based designs by at least 60.9%, 35.1%, 94.9% for m = 163, 233, 283 respectively in terms of area-time product.