Miracle-dz/UniFAR-FTUs huggingface dataset:
Non-invasive EEG-metric based stress detection

Psychological stress is a vital parameter related to individual's health and cognitive performance which may affect emotions and professional efficiency. Regula stress profile generated can be used as neurofeedback for the clinical as personal assessment. This paper describes a method to detect mental stress level based on physiological parameters. In this method an electroencephalogram (EEG) parameter based binary stress classifier is developed which is validated through probabilistic stress profiler of differential stress inventory questionnaire. A non-invasive 9 channel EEG is used to extract physiological signal and an EEG-metric based cognitive state and workload outputs is generated for 41 healthy volunteers (37 males and 4 females, age; 24±5 years). All subjects were performed three simple tasks of closed eye, focusing vision on a red dot on center of dark screen and focusing on a white screen. Central tendencies (mean, median and mode) are extracted from of EEG-metric (sleep onset, distraction, low engagement, high engagement and cognitive states) as features. Either of the two classes as low stress or high stress are evaluated from probabilistic stress profiler of differential stress inventory and used as training output classes. A supervisory training of multiple layer perceptron based binary support vector machine classifier was used to detect stress class one by one. 40 subject's samples were used for training and interchanging one-by one 41th subject's stress class is determined from the designed classifier. Out of 41 subjects, stress level of 30 subjects is correctly identified.
MySQL High Availability - Tools for Building Robust Data Centers, 2nd Edition

Server bottlenecks and failures are a fact of life in any database deployment, but they don't have to bring everything to a halt. MySQL has several features that can help you protect your system from outages, whether it's running on hardware, virtual machines, or in the cloud. MySQL High Availability explains how to use these replication, cluster, and monitoring features in a wide range of real-life situations. Written by engineers who designed many of the tools covered inside, this book reveals undocumented or hard-to-find aspects of MySQL reliability and high availability -- knowledge thats essential for any organization using this database system. Explore the binary log, a file for replication that helps in disaster recovery and troubleshooting Get techniques for improving response time and handling large data sets Monitor database activity and performance, as well as major operating system parameters Keep track of what masters and slaves are doing, and deal with failures and restarts, corruption, and other incidents Automate key tasks with code from an open source library written by the authors Learn techniques for using MySQL in virtualized environments, such as Amazon Web Services Use MySQL Cluster to achieve high availability "MySQL replication is widely deployed but has never been adequately explained. This book changes that. " -- Mark Callaghan, MySQL contributor and leader of MySQL engineering efforts at a few of the world's largest Internet companies
ANALYSIS OF DATA IN IDIOGRAPHIC RESEARCH: Issues and Methods

Ottenbacher KJ: Analysis of data in idiographic research: issues and methods. Am J Phys Med Rehabil 1992;71:202-208. Time-series and single-subject designs are being advocated for use in rehabilitation research to document the effectiveness of therapeutic intervention procedures. The argument is made that these designs are practitioner-oriented and practice-based. Acceptance and application of single-subject procedures by rehabilitation researchers will depend on the development of reliable and accurate methods of data analysis. Previous research suggests that traditional visual analysis of graphed data is unreliable and that quantitative supplements to visual analysis should be included in single-subject investigations. The advantages and limitations of two commonly advocated supplements to visual analysis are examined. The two supplemental procedures are the split-middle method of trend estimation and the resistant trend line. One advantage of the resistant trend line is that it does not make the assumption of a linear pattern in single-subject data. The argument is made that the resistant trend line is the preferred method and should be selected over the more commonly used split-middle method of trend estimation. The advantages and limitations of other quantitative procedures are briefly examined.
Accounting for heterogeneity in meta‐analysis using a multiplicative model—an empirical study

In meta‐analysis, the random‐effects model is often used to account for heterogeneity. The model assumes that heterogeneity has an additive effect on the variance of effect sizes. An alternative model, which assumes multiplicative heterogeneity, has been little used in the medical statistics community, but is widely used by particle physicists. In this paper, we compare the two models using a random sample of 448 meta‐analyses drawn from the Cochrane Database of Systematic Reviews. In general, differences in goodness of fit are modest. The multiplicative model tends to give results that are closer to the null, with a narrower confidence interval. Both approaches make different assumptions about the outcome of the meta‐analysis. In our opinion, the selection of the more appropriate model will often be guided by whether the multiplicative model's assumption of a single effect size is plausible. Copyright © 2016 John Wiley & Sons, Ltd.
The design of cancellation unit against radiofrequency interference in life-detection radar

When the life-detection radar detects the human-life existence, echoes from stationary barriers are generally so strong that make the post-amplifier saturated and submerge the useful life signal. In this paper, a method of interference suppression is discussed. To restrain strong interferences, a reference signal deriving from emission signal is used to cancel the clutters. This paper designs a cancellation system using Microcontroller Unit and the amplitude and phase modulation unit to produce the reference signal. The searching algorithm is proposed to find out the best digital values that respectively control the amplitude and phase of reference signal. To improve the efficiency of algorithm in the searching process, searching procedures of phase and amplitude are discussed. Simulation results are shown in a three-dimensional diagram.
Edge-Based Adaptation for a 1 IIR + 1 Discrete-Time Tap DFE Converging in $5~\mu$ s

A 16 Gb/s 1-tap Infinite impulse response (IIR) + 1-tap discrete-time (DT) decision feedback equalizer (DFE) with integrated clock recovery and adaptation is demonstrated in 28 nm FD-SOI CMOS. Using a CMOS phase rotator, 0.7 unit interval (UI) high-frequency jitter tolerance is achieved when operating mesochronously, and over 0.4 UI operating plesiochronously. The half-rate architecture includes a novel 2:1 multiplexer to reduce delay in the IIR feedback path. With a 28 dB loss channel, a BER below 10-12 is measured over a 0.32 UI timing window with a TX swing of 0.8 Vpp-diff. Using a 2 Vpp-diff TX swing, a 30 dB loss channel has a measured BER below 10-12 over a 0.3 UI timing window. A novel edge-based algorithm adapts both IIR and DT equalizer coefficients using the same high-speed circuitry and signals required for clock recovery. The algorithm utilizes all transitions to inform the adaptation of all equalizer coefficients, thereby providing faster convergence than previously-reported algorithms which await specific patterns. Moreover, the adaptation freezes automatically unless a diverse set of data patterns is received, thereby making the algorithm robust in the presence of poorly-conditioned data. The adaptive DFE converges within 5 μs.
High-speed FFT processors based on redundant number systems

Fast Fourier Transform (FFT) processors, having a significant impact on the performance of communication systems, have been a hot topic of research for many years. FFT function consists of consecutive multiply-add operations over complex numbers, dubbed as butterfly units. Use of redundant number systems is a way of increasing the speed of FFT coprocessors. It eliminates carry-propagation and hence permits latency reduction of each stage of the pipelined FFT architecture. This paper proposes a high-speed FFT processor using the devised fused-dot-product-add (FDPA) unit, to compute AB ± CD ± E, based on Binary-Signed-Digit (BSD) representation. Three-operand BSD adder and BSD constant multiplier are the constituents of the proposed FDPA unit. A carry-limited BSD adder is proposed and used in the three-operand adder and in the parallel BSD multiplier, so as to improve the speed of the FDPA unit. Moreover, modified-booth encoding is used to accelerate the BSD multiplier. Synthesis results show that the proposed design is about two times faster than the best previous work; but at cost of more area/power consumption.
Dynamic copula models for multivariate high-frequency data in finance

The stylized facts of univariate high-frequency data in flnance are well known; see Dacorogna et al. (2001). In this paper, we concentrate on multivariate high-frequency data, and analyse the dependence structure, through the notion of copula. More in particular, we analyse the conditional copula for two dimensional high-frequency data. We flnd evidence of non-constancy over time of the conditional copula and investigate this fact at six difierent time aggregation frequencies. Further, we investigate the existence of change-points in the conditional copula. The data analysed are highfrequency foreign exchange spot rates for US Dollar quoted against German Mark and quoted against Japanese Yen, previously analysed in a non-dynamic setting in Breymann et al. (2003).
Accuracy of diagnostic lumbar facet joint nerve blocks: a 2-year follow-up of 152 patients diagnosed with controlled diagnostic blocks.

BACKGROUND Lumbar facet joint pain is diagnosed by controlled diagnostic blocks. The accuracy of controlled diagnostic blocks has been demonstrated in multiple studies and confirmed in systematic reviews. Controlled diagnostic studies have shown an overall prevalence of lumbar facet joint pain in 31% of the patients with chronic low back pain without disc displacement or radiculitis, with an overall false-positive rate of 30% using a single diagnostic block. STUDY DESIGN An observational report of outcomes assessment. SETTING An interventional pain management practice setting in the United States. OBJECTIVE To determine the accuracy of controlled diagnostic blocks in managing lumbar facet joint pain at the end of 2 years. METHODS This study included 152 patients diagnosed with lumbar facet joint pain using controlled diagnostic blocks. The inclusion criteria was based on a positive response to diagnostic controlled comparative local anesthetic lumbar facet joint blocks. The treatment included therapeutic lumbar facet joint nerve blocks. OUTCOME MEASURES The sustained diagnosis of lumbar facet joint pain at the end of one year and 2 years based on pain relief and functional status improvement. RESULTS At the end of one year 93% of the patients and at the end of 2 years 89.5% of the patients were considered to have lumbar facet joint pain. LIMITATIONS The study is limited by its observational nature. CONCLUSION Controlled diagnostic lumbar facet joint nerve blocks are valid utilizing the criteria of 80% pain relief and the ability to perform previously painful movements, with sustained diagnosis of lumbar facet joint pain in at least 89.5% of the patients at the end of a 2-year follow-up period.
Fault detection for SiC-Mosfet based on the behavior of gate signal

We present the design and simulation of a fault detection circuit applied to a Silicon Carbide Mosfet (SiC-Mosfet), fault detection is done by examining the behavior of gate signal. The most important aspects that have been made and are reported specifically: early detection, since the evaluation is done during the transient of turn-on, allowing early detection in the case of short-circuit, failure detection times small as which prevents to the spread to full system. To validate the system, this was designed and applied to failure detection to Boost-Converter with SiC-Mosfet, the simulation results to validate the robustness and reliability of the electronic system designed.
Hypometabolism in Posterior and Temporal Areas of the Brain is Associated with Cognitive Decline in Parkinson's Disease.

BACKGROUND Brain metabolic profiles of patients with Parkinson's disease (PD) and cognitive impairment or dementia are now available. It would be useful if data on brain metabolism were also predictive of the risk of a pejorative cognitive evolution - especially in the multidisciplinary management of advanced PD patients. OBJECTIVE The primary objective was to determine whether a specific brain metabolic pattern is associated with cognitive decline in PD. METHODS Sixteen advanced PD patients were screened for the absence of cognitive impairment (according to the Mattis dementia rating scale, MDRS) and underwent [18F]-fluorodeoxyglucose positron emission tomography brain imaging in the "off drug" state. The MDRS was scored again about two years later, categorizing patients as having significant cognitive decline (decliners) or not (stables). The two groups were then compared in terms of their brain metabolism at inclusion. RESULTS There were six decliners and ten stables. Significant hypometabolism in the two precunei (Brodmann area (BA) 31), the left middle temporal gyrus (BA21) and the left fusiform gyrus (BA37) was found in the decliner group compared withthe stables. CONCLUSION In advanced PD, a particular metabolic pattern may be associated with the onset of significant cognitive decline.
Hepatic fatty acid transporter Cd36 is a common target of LXR, PXR, and PPARgamma in promoting steatosis.

BACKGROUND & AIMS Liver X receptor (LXR) is known to promote hepatic lipogenesis by activating the lipogenic transcriptional factor sterol regulatory element-binding protein (Srebp). Pregnane X receptor (PXR), a previously known "xenobiotic receptor," could mediate a Srebp-independent lipogenic pathway by activating the free fatty acid uptake transporter Cd36. The goal of this study is to investigate further the role of Cd36 in hepatic steatosis. METHODS Wild-type, LXR transgenic, PXR transgenic, and Cd36 null mice were used to study the regulation of Cd36 and other hepatic lipogenic genes and the implication of this regulation in hepatic steatosis. Promoter sequences of Cd36 and peroxisome proliferator-activated receptor (PPAR) gamma were cloned, and their respective regulation by LXR and PXR was investigated by combinations of receptor-DNA binding and reporter gene assays. RESULTS We showed that genetic (transgene) or pharmacologic (ligands) activation of LXR induced Cd36. Promoter analysis established Cd36 as a novel transcription target of LXRalpha. Moreover, the hepatic steatosis induced by LXR agonists was largely abolished in Cd36 null mice. We also showed that PPARgamma, a positive regulator of Cd36, is a transcriptional target of PXR, suggesting that PXR can regulate Cd36 directly or through its activation of PPARgamma. Interestingly, both LXR-mediated Cd36 regulation and PXR-mediated PPARgamma regulation are liver specific. CONCLUSIONS We conclude that Cd36 is a shared target of LXR, PXR, and PPARgamma. The network of CD36 regulation by LXR, PXR, and PPARgamma establishes this free fatty acid transporter as a common target of orphan nuclear receptors in their mediation of lipid homeostasis.
Musculoskeletal complications of systemic lupus erythematosus in the Hopkins Lupus Cohort: an update.

OBJECTIVE To determine the frequency of musculoskeletal system damage among patients in the Hopkins Lupus Cohort, over time, and to determine predictors of musculoskeletal damage (including avascular necrosis of bone, osteoporosis, and fracture) in the same cohort. METHODS Evaluation of the cohort visit database (from 1989 or at the time of entry into the cohort if later than 1989) for the 407 patients with systemic lupus erythematosus (SLE). Musculoskeletal damage was measured by the SLICC/ACR Damage Index. RESULTS Total damage and musculoskeletal damage accumulated from the time of diagnosis of SLE, and musculoskeletal damage continued over time, with avascular necrosis of bone being the most common form. African-Americans and SLE patients of lower socioeconomic status were more likely to experience musculoskeletal damage. Use of corticosteroids was a major risk factor for both avascular necrosis of bone and osteoporosis. CONCLUSION Musculoskeletal damage remains one of the major sequela of SLE. Reduction of the modifiable risk factors (especially prednisone dose) is the key to both primary and secondary prevention efforts.
Anti-rheumatic activity of Ananas comosus fruit peel extract in a complete Freund’s adjuvant rat model

Abstract Context: Rheumatoid arthritis is a chronic, autoimmune and systemic inflammatory disease, which targets synovial joints leading to joint destruction mediated in part by migration of inflammatory cells into the synovial tissue. Objective: The present study evaluates the anti-rheumatic effect of a methanol extract of Ananas comosus (L.) Merr. (Bromeliaceae) peel in rats. Materials and methods: Anti-rheumatic activity of crude extract of peels of A. comosus in complete Freund’s induced arthritis model in rats was studied at doses of 50, 100, 250 and 500 mg/kg b.w. for 21 days. Parameters such as paw size, levels of superoxide dismutase (SOD), catalase (CAT), glutathione peroxidase (GPx), C-reactive proteins (CRP) and prostaglandins (PGE2) were analysed. Results: Oral administration of the extract significantly reduced the swelling in the paw of rats (EC50 65.1 ± 2.95 mg/kg b.w.) with a maximal inhibition of 77.01 ± 10.53% on 21st day at 500 mg/kg b.w. The extract also significantly reduced the levels of SOD, CAT and GPx in liver (EC50 26.84 ± 16.37, 68.37 ± 19.22, 106.54 ± 34.81 mg/kg b.w., respectively), kidney (EC50 261.75 ± 81.5, 176.38 ± 8.08, 14.32 ± 6.64, mg/kg b.w., respectively) and spleen (EC50 152.14 ± 39.57, 83.97 ± 14.6, 47.1 ± 10.45 mg/kg b.w., respectively); and CRP (EC50 36.37 ± 12.4 mg/kg b.w.) and PGE2 (EC50 191.06 ± 71.54 mg/kg b.w.) in tissue homogenate and serum, respectively, at 500 mg/kg b.w. as compared to arthritic control group. Discussion and conclusion: These results suggest that A. comosus fruit peel extract exerts anti-rheumatic activity.
VARIACIÓN DE LA DISTRIBUCIÓN Y BIOMASA DEL CALAMAR GIGANTE Dosidicus gigas (D´ORBIGNY, 1835) EN LA REGIÓN CENTRAL DEL GOLFO DE CALIFORNIA

Mexico es el segundo productor de calamar gigante en el mundo, con capturas anuales superiores a 50,000 t en los ultimos diez anos. Sin embargo, se han observados importantes descensos en las abundancias de este recurso que se atribuyen a eventos ambientales de gran escala que posiblemente afectan la disponibilidad de esta especie; aunque esta hipotesis no ha sido probada. En este trabajo se determino la variacion de la distribucion y biomasa del calamar gigante en la region central del Golfo de California y su relacion con variables ambientales. Se utilizaron registros de nueve cruceros de investigacion llevados a cabo desde 1997 a 2008. En cada crucero se capturaron calamares y se obtuvieron muestras para registrar el sexo, madurez y talla. Se estimaron las biomasas totales por crucero mediante dos metodos diferentes. Se realizo un analisis exploratorio de las tendencias de la distribucion y capturas de calamar gigante con respecto a diferentes variables ambientales a traves de arboles de regresion. Los resultados indican que las biomasas oscilaron entre 1,000 a 430,000 t. La distribucion de las capturas vario entre cruceros, los organismos inmaduros se concentraron principalmente en la costa oeste del golfo, mientras que los maduros estuvieron cargados hacia la costa este. Los calamares de tallas pequenas se concentraron alejados de ambas costas al sur del golfo y los de mayor talla se distribuyeron cercanos en ambas costas. La productividad primaria y la profundidad fueron variables ambientales que explicaron la distribucion de las capturas y de organismos maduros. Se encontro una coincidencia entre la intensidad de las surgencias del invierno en la costa este y la biomasa de calamar gigante reclutada a la pesqueria lo cual posiblemente este fenomeno sea un indicador de dicha biomasa. Se concluye que la distribucion y biomasa del calamar cambia en el tiempo y estas variaciones pueden ser explicadas por factores ambientales.
Clearing Hurdles in Teacher Adoption and Sustained Use of Research-Based Instruction

Gersten et al., in this issue of JLD, have pinpointed variables that preclude teachers' sustenance of research-based instructional strategies. These variables fall squarely on the shoulders of intervention researchers. However, they have not attended to variables that stem from teachers themselves. Hence, in my commentary, I focus on teacher variables that account for their lack of initiation and sustenance of research-based instructional strategies. Specifically, I highlight teachers' (a) overarching conceptions of teaching, (b) subject-area knowledge, and (c) sense of self-efficacy. Of these, for reasons given in my article, I elaborate more on teacher self-efficacy. I conclude with suggestions on promoting teacher self-efficacy.
Proinflammatory Cytokines in the Saliva, Gingival Crevicular Fluid and Serum of Diabetic Patients with Periodontal Disease

Periodontal disease (PD) is a complication of diabetes mellitus (or diabetes). Various proinflammatory cytokines are expressed in the saliva, gingival crevicular fluid (GCF) and serum of diabetic patients with PD. The aim of this study was to review the proinflammatory cytokinees that are expressed in the saliva, GCF and serum of diabetic patients with PD. The addressed focused question was "Which proinflammatory cytokines are expressed in the saliva, GCF and serum of diabetic patients with PD? " Databases were explored from 1991 up to and including May 2013 using various combinations of keywords. Articles published only in English were included. Historic reviews, unpublished data, and review articles were excluded. Levels of interleukin (IL)-6 are higher in the saliva, serum and GCF of diabetic patients with PD compared to healthy controls. IL-1β and tumor necrosis factor-alpha (TNF-α) are higher in the serum and GCF of diabetic patients in PD compared to healthy controls. Weak evidence also GCF and serum suggested that resistin and visfatin are also dysregulated in diabetic patients with PD compared to controls. Raised levels of proinflammatory cytokines (including IL-1β, IL-6 and TNF-α) in the saliva, serum and GCF of diabetic patients with PD may be a valuable tool in the early detection of PD. Elevated concentrations of proinflammatory cytokines in the saliva, serum and/or GCF may also be indicative of "latent" diabetes in undiagnosed individuals.