Miracle-dz/UniFAR-FTUs huggingface dataset:
Effectiveness of Remote Patient Monitoring After Discharge of Hospitalized Patients With Heart Failure: The Better Effectiveness After Transition -- Heart Failure (BEAT-HF) Randomized Clinical Trial.

IMPORTANCE It remains unclear whether telemonitoring approaches provide benefits for patients with heart failure (HF) after hospitalization. OBJECTIVE To evaluate the effectiveness of a care transition intervention using remote patient monitoring in reducing 180-day all-cause readmissions among a broad population of older adults hospitalized with HF. DESIGN, SETTING, AND PARTICIPANTS We randomized 1437 patients hospitalized for HF between October 12, 2011, and September 30, 2013, to the intervention arm (715 patients) or to the usual care arm (722 patients) of the Better Effectiveness After Transition-Heart Failure (BEAT-HF) study and observed them for 180 days. The dates of our study analysis were March 30, 2014, to October 1, 2015. The setting was 6 academic medical centers in California. Participants were hospitalized individuals 50 years or older who received active treatment for decompensated HF. INTERVENTIONS The intervention combined health coaching telephone calls and telemonitoring. Telemonitoring used electronic equipment that collected daily information about blood pressure, heart rate, symptoms, and weight. Centralized registered nurses conducted telemonitoring reviews, protocolized actions, and telephone calls. MAIN OUTCOMES AND MEASURES The primary outcome was readmission for any cause within 180 days after discharge. Secondary outcomes were all-cause readmission within 30 days, all-cause mortality at 30 and 180 days, and quality of life at 30 and 180 days. RESULTS Among 1437 participants, the median age was 73 years. Overall, 46.2% (664 of 1437) were female, and 22.0% (316 of 1437) were African American. The intervention and usual care groups did not differ significantly in readmissions for any cause 180 days after discharge, which occurred in 50.8% (363 of 715) and 49.2% (355 of 722) of patients, respectively (adjusted hazard ratio, 1.03; 95% CI, 0.88-1.20; P = .74). In secondary analyses, there were no significant differences in 30-day readmission or 180-day mortality, but there was a significant difference in 180-day quality of life between the intervention and usual care groups. No adverse events were reported. CONCLUSIONS AND RELEVANCE Among patients hospitalized for HF, combined health coaching telephone calls and telemonitoring did not reduce 180-day readmissions. TRIAL REGISTRATION clinicaltrials.gov Identifier: NCT01360203.
Vibration Properties of Two-Stage Magnetic-Valve Controllable Reactor

This paper investigates the vibration properties of a two-stage magnetic-valve controllable reactor (MCR) under different working conditions. The vibration mechanism of the MCR core is analyzed from the perspective of the conservation of mechanical and internal energy. The magnetomechanical coupling finite element method model of a 5400 var two-stage MCR is established. The core vibration of the two-stage MCR is analyzed at two operation conditions (with and without dc current) by using COMSOL. Finally, an experiment platform is built to test the vibration acceleration of the two-stage MCR core, and the calculation results are compared with the experimental ones.
In vivo mouse brain tomography by fast dual-scanning photoacoustic imaging system based on array transducer

A full-view photoacoustic tomography system with dual-scanning using a linear transducer array for fast imaging of complicated blood network was developed. In this system, a 128-element linear transducer array was used to detect photoacoustic signals by combined scanning of electronic scan and mechanical scan. An improved limited-field filtered back projection algorithm with directivity factors was applied to reconstruct the distribution of the absorbed optical energy deposit. An in vivo experiment on a mouse brain was performed to evaluate the ability of this composite system. A clear view of the cerebrovascular network on the brain cortex was acquired successfully. Furthermore, the reconstruct images with different number of scanning positions were also investigated and analyzed to induce a compromised proposal between scanning time and scanning number. The experimental results demonstrate the multi-element photoacoustic imaging system has the potential to acquire the time-resolved functional information for fundamental research of small animal brain imaging.
A Novel Approach for Adverse Events Detection

Adverse events detection is critical in many ﬁelds, e.g., adverse drug event (ADE) detection in medical ﬁeld. ADE is an unexpected and harmful consequence of drug usage. Many researchers found that identifying the correlation between the use of drugs and adverse events from biomedical literature can contribute a lot to drug safety monitoring. In this paper, we propose a novel approach based on biomedical literature to detect ADE. We ﬁrst construct a graph using candidate ADE extracted from biomedical literature, and then propose a method to select critical vertices from the graph as core vertices with a clustering algorithm to group these core vertices to build subgraphs. Lastly, the correlations between drugs and events are calculated based on the subgraphs for ADE detection. Experiments show that our approach is highly feasible.
Morphology of ultrafine polysulfone fibers prepared by electrospinning

Ultrafine fibers of bisphenol-A polysulfone (PSF) were prepared by electrospinning of PSF solutions in mixtures of N,N-dimethylacetamide (DMAC) and acetone at high voltages. The morphology of the electrospun PSF fibers was investigated by scanning electron microscopy. Results showed that the concentration of polymer solutions and the acetone amount in the mixed solvents influenced the morphology and the diameter of the electrospun fibers. The processing parameters, including the applied voltage, the flow rate, and the distance between capillary and collection screen, were also important for control of the morphology of electrospun PSF fibers. It was suggested that uniform ultrafine PSF fibers with diameter of 300–400 nm could be obtained by electrospinning of a 20 % (wt/v) PSF/DMAC/acetone (DMAC:acetone = 9:1) solution at 10–20 kV voltages when the flow rate was 0.66 ml h−1 and capillary–screen distance was 10 cm. Copyright © 2004 Society of Chemical Industry
A novel study on color image denoising and comparison of various state-of-the-art methods

We briefly discuss the fundamental of color space and compare some state-of-the-art color image denoising methods in presence of Gaussian noise. Specifically, we discuss three leading color image denoising techniques such as C-BM3D, OWT SURE-LET, LPG-PCA and describe their performance in terms of PSNR. We conduct several experiments, to recognize the advantages and disadvantages of these state-of-the-art color image denoising methods. It is observed from the comparison that C-BM3D achieves better performance in terms of PSNR at a reasonable computational complexity. The comprehensive study in this paper will provide a good reference for new research in color image denoising.
Oncogenic activation of FAK drives apoptosis suppression in a 3D-culture model of breast cancer initiation

A key hallmark of cancer cells is the loss of positional control over growth and survival. Focal adhesion kinase (FAK) is a tyrosine kinase localised at sites of integrin-mediated cell adhesion to the extracellular matrix. FAK controls a number of adhesion-dependent cellular functions, including migration, proliferation and survival. Although FAK is overexpressed and activated in metastatic tumours, where it promotes invasion, it can also be elevated in cancers that have yet to become invasive. The contribution of FAK to the early stages of tumourigenesis is not known. We have examined the effect of activating FAK in non-transformed mammary epithelial cells (MECs) to understand its role in tumour initiation. In agreement with previous studies, we find FAK activation in 2D-culture promotes proliferation, migration, and epithelial-to-mesenchymal transition. However in 3D-cultures that better resemble normal tissue morphology, mammary cells largely respond to FAK activation via suppression of apoptosis, promoting aberrant acinar morphogenesis. This is an acquired function of FAK, because endogenous FAK signalling is not required for normal morphogenesis in 3D-culture or in vivo. Thus, FAK activation may facilitate tumour initiation by causing resistance to apoptosis. We suggest that aberrant FAK activation in breast epithelia is dependent upon the tissue context in which it occurs.
Genome‐wide identification of differential methylation between primary and recurrent hepatocellular carcinomas

A biomarker capable of clinically predicting hepatocellular carcinoma (HCC) recurrence has not previously been established. Here genome‐wide differential methylation between primary and recurrent HCC cell lines (Hep‐11 and Hep‐12) from the same patient was characterized. The HCC samples from two independent cohorts, complete with follow‐up data, were used to validate the feasibility of the selected methylation biomarkers in predicting HCC prognosis. A methylation array assay identified 30 candidate genes or intergenic‐fragments with an absolute methylation fold‐change >2.0 between these cell lines; 22 candidates were hypomethylated in Hep‐12 cells relative to Hep‐11 cells. Bisulfite sequencing confirmed these results. Most importantly, classification of tumors by LINE‐2 methylation level was significantly associated with HCC recurrence in both cohorts (P < 0.02). Similarly, MAD1L1 and LINC00682 methylation levels also correlated with HCC recurrence. Survival analysis showed that a combined baseline LINE‐2, MAD1L1, and LINC00682 methylation signature was significantly associated with short recurrence‐free survival in patients from both cohorts. A synergic effect was observed between these markers on both recurrence‐free survival (P < 0.010) and overall survival (P < 0.040). In conclusion, low levels of LINE‐2, MAD1L1, and LINC00682 methylation were associated with recurrence and decreased overall survival in HCC patients. © 2015 Wiley Periodicals, Inc.
Arbitrarily Substantial Number Representation for Complex Number

Researchers are often perplexed when their machine learning algorithms are required to deal with complex number. Various strategies are commonly employed to project complex number into real number, although it is frequently sacrificing the information contained in the complex number. This paper proposes a new method and four techniques to represent complex number as real number, without having to sacrifice the information contained. The proposed techniques are also capable of retrieving the original complex number from the representing real number, with little to none of information loss. The promising applicability of the proposed techniques has been demonstrated and worth to receive further exploration in representing the complex number.
Real time emotion detection from speech using Raspberry Pi 3

In the past decade, a lot of research has gone into Speech Emotion Recognition. The primary objective of Speech Emotion Recognition is to improve man-machine interface. It can also be used to monitor the psycho physiological state of a person in lie detectors. In recent time, speech emotion recognition also finds its applications in medicine and forensics. It can also be used to recognize different emotions like sad, happy, angry, fear, etc. Basically, it can be used to detect positive and negative emotions. This project mainly focuses on using a DSP processor (Raspberry Pi 3) to recognize the emotions through speech. It can also be implemented using complete software that is MATLAB. DSP has many advantages and features and is basically used by programming it in Python. This project mainly focuses on comparing the implementation through hardware and software. The easiest way to compare is through efficiency and many other features.
Deformation mechanism and inverse Hall–Petch behavior in nanocrystalline materials

Abstract It is widely accepted that for the very smallest grain sizes (typically below 20–30 nm), dislocations play no significant role in the deformation of nanocrystalline materials. However, the grain-boundary mechanisms responsible for the reported decrease in strength with decreasing grain size in this regime (the ‘inverse Hall–Petch effect’) remain unclear. Here, we demonstrate by molecular-dynamics simulation that, in the absence of both grain growth and any dislocations, nanocrystalline fcc metals deform via a mechanism involving an intricate interplay between grain-boundary sliding and grain-boundary diffusion. By quantitatively reproducing the well-known Coble-creep formula for coarsegrained materials, we show that the ‘inverse Hall–Petch effect’ arises from sliding-accommodated grain-boundary diffusion creep. Previous, apparently contradictory, suggestions that GB sliding, on the one hand, or GB-diffusion creep, on the other, are responsible for this behavior can thus be reconciled as originati.
[Facial nerve injuries cause changes in central nervous system microglial cells].

INTRODUCTION Our research group has described both morphological and electrophysiological changes in motor cortex pyramidal neurons associated with contralateral facial nerve injury in rats. However, little is known about those neural changes, which occur together with changes in surrounding glial cells. OBJECTIVE To characterize the effect of the unilateral facial nerve injury on microglial proliferation and activation in the primary motor cortex. MATERIALS AND METHODS We performed immunohistochemical experiments in order to detect microglial cells in brain tissue of rats with unilateral facial nerve lesion sacrificed at different times after the injury. We caused two types of lesions: reversible (by crushing, which allows functional recovery), and irreversible (by section, which produces permanent paralysis). We compared the brain tissues of control animals (without surgical intervention) and sham-operated animals with animals with lesions sacrificed at 1, 3, 7, 21 or 35 days after the injury. RESULTS In primary motor cortex, the microglial cells of irreversibly injured animals showed proliferation and activation between three and seven days post-lesion. The proliferation of microglial cells in reversibly injured animals was significant only three days after the lesion. CONCLUSIONS Facial nerve injury causes changes in microglial cells in the primary motor cortex. These modifications could be involved in the generation of morphological and electrophysiological changes previously described in the pyramidal neurons of primary motor cortex that command facial movements.
Molecular regulation of apoptotic machinery and lipid metabolism by mTORC1/mTORC2 dual inhibitors in preclinical models of HER2+/PIK3CAmut breast cancer

The mechanistic target of rapamycin (mTOR) is a rational target for cancer treatment. While the mTORC1-selective rapalogs have shown significant benefits in the clinic, antitumor response may be further improved by inhibiting both mTORC1 and mTORC2. Herein, we established target profile of a novel mTOR kinase inhibitor (mTOR-KI) MTI-31 and employed it to study new therapeutic mechanism in breast cancer. MTI-31 demonstrated a potent mTOR binding affinity with >5000 fold selectivity over the related PI3K family isoforms. MTI-31 inhibited mTORC1- and mTORC2 function at ≤120 nM in cellular assays or 5 mg/kg orally in tumor-bearing mice. In a panel of breast cancer lines, the antitumor efficacy of MTI-31 was dependent on HER2+ and/or PIK3CAmut (HER2+/PIK3CAmut) status of the tumors and required mTORC2-specific modulation of Bim, MCL-1 and GSK3. Inactivation of Bim or GSK3 each attenuated apoptotic death resulting in mTOR-KI resistance. The antitumor response also required a suppression of lipid metabolism in therapy-sensitive tumors. Treatment with MTI-31 or AZD8055 substantially reduced lipogenesis and acetyl-CoA homeostasis, which was mechanistically linked to a blockade of mTORC2-dependent glucose-to-lipid conversion rate. We also found that the basal levels of carnitine palmitoyltransferase 1A and lipid catabolism were elevated in HER2+/PIK3CAmut breast cells and were inhibited upon mTOR-KI treatment. A CPT1A inhibitor etomoxir mimicked MTI-31 action in selective downregulation of cellular lipid catabolism. Co-treatments with MTI-31 and etomoxir enhanced the suppression of cyclin D1, c-Myc and cell growth in HER2+/PIK3CAmut tumors. These new mechanistic findings provide a rationale for targeting mTORC1 and mTORC2 in HER2+/PIK3CAmut breast cancer.
An Activity Recognition Framework Deploying the Random Forest Classifier and A Single Optical Heart Rate Monitoring and Triaxial Accelerometer Wrist-Band †

Wrist-worn sensors have better compliance for activity monitoring compared to hip, waist, ankle or chest positions. However, wrist-worn activity monitoring is challenging due to the wide degree of freedom for the hand movements, as well as similarity of hand movements in different activities such as varying intensities of cycling. To strengthen the ability of wrist-worn sensors in detecting human activities more accurately, motion signals can be complemented by physiological signals such as optical heart rate (HR) based on photoplethysmography. In this paper, an activity monitoring framework using an optical HR sensor and a triaxial wrist-worn accelerometer is presented. We investigated a range of daily life activities including sitting, standing, household activities and stationary cycling with two intensities. A random forest (RF) classifier was exploited to detect these activities based on the wrist motions and optical HR. The highest overall accuracy of 89.6 ± 3.9% was achieved with a forest of a size of 64 trees and 13-s signal segments with 90% overlap. Removing the HR-derived features decreased the classification accuracy of high-intensity cycling by almost 7%, but did not affect the classification accuracies of other activities. A feature reduction utilizing the feature importance scores of RF was also carried out and resulted in a shrunken feature set of only 21 features. The overall accuracy of the classification utilizing the shrunken feature set was 89.4 ± 4.2%, which is almost equivalent to the above-mentioned peak overall accuracy.
dFence: Transparent Network-based Denial of Service Mitigation

Denial of service (DoS) attacks are a growing threat to the availability of Internet services. We present dFence, a novel network-based defense system for mitigating DoS attacks. The main thesis of dFence is complete transparency to the existing Internet infrastructure with no software modifications at either routers, or the end hosts. dFence dynamically introduces special-purpose middlebox devices into the data paths of the hosts under attack. By intercepting both directions of IP traffic (to and from attacked hosts) and applying stateful defense policies, dFence middleboxes effectively mitigate a broad range of spoofed and unspoofed attacks. We describe the architecture of the dFence middlebox, mechanisms for ondemand introduction and removal, and DoS mitigation policies, including defenses against DoS attacks on the middlebox itself. We evaluate our prototype implementation based on Intel IXP network processors.
Simulation of percolation threshold and electrical conductivity in composites filled with conductive particles: Effect of polydisperse particle size distribution

A Monte Carlo simulation method was developed in the open source programing language Python to predict the conductive filler concentration at the percolation threshold and the electrical conductivity for different filler concentrations in electrically conductive composites (ECCs) with fiber-like conductive fillers. The computer method was programmed to consider the aspect ratio distribution of the fibers or a single average aspect ratio for the determination of the percolation threshold. The results for the two cases were compared to values reported in the literature for liquid crystal polymers (LCP) with synthetic graphite (SG) and to results obtained experimentally for polyvinylidene fluoride (PVDF) with polypyrrole (PPy)-coated amorphous silica fibers (ASF). Additionally, a contact resistance based on the tunneling effects principle was used to predict the electrical conductivity, and the results of the simulations were compared to the experimental data for the same ECCS. It was found that the percolation thresholds predicted through the simulations considering the aspect ratio distribution were within the concentration limits associated with the transition from electrical insulation to conductivity, while the electrical conductivity predictions had similar behavior to the experimental data, although the values were of different magnitudes. POLYM. COMPOS. , 61–69, 2016. © 2014 Society of Plastics Engineers
Four wave mixing experiment research of photonic crystal fiber

In this paper, the 120fs pulse transmission experiment was carried out using disordered birefringent microstructure fibers with cladding ventages. Thought this experiment, properties of the two waves under the effect of femtosecond laser pulses with different parameters were studied. The results show that the central wavelength of anti-stokes waves and stokes waves produced under the two orthogonal polarization states shift by 63nm and 160nm, respectively. The strength and central position of the two waves in birefringent fibers can be controlled by adjusting the phase match condition and the polarization direction of incident pulses.
Estimating the Burden of Chagas Disease in the United States

Background In recent years, there has been growing awareness of the significant burden of Chagas disease in the United States (US). However, epidemiological data on both prevalence and access to care for this disease are limited. The objective of this study is to provide an updated national estimate of Chagas disease prevalence, the first state-level estimates of cases of T. cruzi infection in the US and to analyze these estimates in the context of data on confirmed cases of infection in the US blood supply. Methods In this study, we calculated estimates of the state and national prevalence of Chagas disease. The number of residents originally from Chagas disease endemic countries were computed using data on Foreign-Born Hispanic populations from the American Community Survey, along with recent prevalence estimates for Chagas disease in Latin America from the World Health Organization that were published in 2006 and updated in 2015. We then describe the distribution of estimated cases in each state in relation to the number of infections identified in the donated blood supply per data from the AABB (formerly American Association of Blood Banks). Findings The results of this analysis offer an updated national estimate of 238,091 cases of T. cruzi infection in the United States as of 2012, using the same method as was used by Bern and Montgomery to estimate cases in 2005. This estimate indicates that there are 62,070 cases less than the most recent prior estimate, though it does not include undocumented immigrants who may account for as many as 109,000 additional cases. The state level results show that four states (California, Texas, Florida and New York) have over 10,000 cases and an additional seven states have over 5,000 cases. Moreover, since 2007, the AABB has reported 1,908 confirmed cases of T. cruzi infection identified through screening of blood donations. Conclusions This study demonstrates a substantial burden of Chagas disease in the US, with state variation that reflects the distribution of at risk Latin American immigrant populations. The study lends important new insight into the distribution of this disease in the US and highlights the need for further research quantifying prevalence and incidence to guide interventions for control of Chagas disease across the US.