Miracle-dz/UniFAR-FTUs huggingface dataset:
Benefits of monitoring patients with mobile cardiac telemetry (MCT) compared with the Event or Holter monitors

Introduction This research is meant to establish if a patient monitored with mobile cardiac telemetry (MCT) sees different outcomes regarding diagnostic yield of arrhythmia, therapeutic management through the use of antiarrhythmic drugs, and cardiovascular costs incurred in the hospital setting when compared with more traditional monitoring devices, such as the Holter or the Event monitor. Materials and methods We conducted a retrospective analysis spanning 57 months of claims data from January 2007 to September 2011 pertaining to 200,000+ patients, of whom 14,000 used MCT only, 54,000 an Event monitor only, and 163,000 a Holter monitor only. Those claims came from the Truven database, an employer database that counts 2.8 million cardiovascular patients from an insured population of about 10 million members. We employed a pair-wise pre/post test-control methodology, and ensured that control patients were similar to test patients along the following dimensions: age, geographic location, type of cardiovascular diagnosis both in the inpatient and outpatient settings, and the cardiovascular drug class the patient uses. Results First, the diagnostic yield of patients monitored with MCT is 61%, that is significantly higher than that of patients that use the Event monitor (23%) or the Holter monitor (24%). Second, patients naive to antiarrhythmic drugs initiate drug therapy after monitoring at the following rates: 61% for patients that use MCT compared with 39% for patients that use the Event and 43% for patients that use the Holter. Third, there are very significant inpatient cardiovascular savings (in the tens of thousands of dollars) for patients that undergo ablation, coronary artery bypass graft (CABG) and valve septa. Savings are more modest but nonetheless significant when it comes to the heart/pericardium procedure. Conclusion Given the superior outcome of MCT regarding both patient care and hospital savings, hospitals only stand to gain by enforcing protocols that favor the MCT system over the Event or the Holter monitor.
Analysis of RYR1 Haplotype Profile in Patients with Malignant Hyperthermia

This study represents a new approach to characterising patients at risk of malignant hyperthermia (MH) through the use of a recently published method for identifying high‐risk haplotypes in candidate genes. We present analysis based upon the largest standardised and genotyped database of MH patients worldwide. We used unphased RYR1 SNP data directly to (1) assess RYR1 haplotype frequency differences between susceptible cases and control groups and (2) analyse population‐based association via clustering of RYR1 haplotypes based on disease risk. Our results show a significant difference in RYR1 haplotype frequency between susceptible cases and UK Caucasian population controls. Furthermore we identify a high‐risk cluster of haplotypes that is associated with the commonest UK MH mutation p.G2434R/c.7300G>A. These results demonstrate the applicability of this new and practical method for population based association analysis.
CFL1 expression levels as a prognostic and drug resistance marker in nonsmall cell lung cancer

Nonsmall cell lung cancer (NSCLC) is the major determinant of overall cancer mortality worldwide. Despite progress in molecular research, current treatments offer limited benefits. Because NSCLC generates early metastasis, and this behavior requires great cell motility, herein the authors assessed the potential value of CFL1 gene (main member of the invasion/metastasis pathway) as a prognostic and predictive NSCLC biomarker.
Foveal Curvature and Asymmetry Assessed Using Optical Coherence Tomography.

PURPOSE The aims of this study were to use cross-sectional optical coherence tomography imaging and custom curve fitting software to evaluate and model the foveal curvature as a spherical surface and to compare the radius of curvature in the horizontal and vertical meridians and test the sensitivity of this technique to anticipated meridional differences. METHODS Six 30-degree foveal-centered radial optical coherence tomography cross-section scans were acquired in the right eye of 20 clinically normal subjects. Cross sections were manually segmented, and custom curve fitting software was used to determine foveal pit radius of curvature using the central 500, 1000, and 1500 μm of the foveal contour. Radius of curvature was compared across different fitting distances. Root mean square error was used to determine goodness of fit. The radius of curvature was compared between the horizontal and vertical meridians for each fitting distance. RESULTS There radius of curvature was significantly different when comparing each of the three fitting distances (P < .01 for each comparison). The average radii of curvature were 970 μm (95% confidence interval [CI], 913 to 1028 μm), 1386 μm (95% CI, 1339 to 1439 μm), and 2121 μm (95% CI, 2066 to 2183) for the 500-, 1000-, and 1500-μm fitting distances, respectively. Root mean square error was also significantly different when comparing each fitting distance (P < .01 for each comparison). The average root mean square errors were 2.48 μm (95% CI, 2.41 to 2.53 μm), 6.22 μm (95% CI, 5.77 to 6.60 μm), and 13.82 μm (95% CI, 12.93 to 14.58 μm) for the 500-, 1000-, and 1500-μm fitting distances, respectively. The radius of curvature between the horizontal and vertical meridian radii was statistically different only in the 1000- and 1500-μm fitting distances (P < .01 for each), with the horizontal meridian being flatter than the vertical. CONCLUSIONS The foveal contour can be modeled as a sphere with low curve fitting error over a limited distance and capable of detecting subtle foveal contour differences between meridians.
Constitutive Analysis on High-Temperature Flow Behavior of 3Cr-1Si-1Ni Ultra-High Strength Steel for Modeling of Flow Stress

High-temperature plastic flow is the underlying process that governs the product quality in many advanced metal manufacturing technologies, such as extrusion, rolling, and welding. Data and models on the high-temperature flow behavior are generally desired in the design of these manufacturing processes. In this paper, quantitative constitutive analysis is carried out on 3Cr-1Si-1Ni ultra-high strength steel, which sheds light on the mathematic relation between the flow stress and the thermal-mechanical state variables, such as temperature, plastic strain, and strain rate. Particularly, the hyperbolic-sine equation in combination with the Zener-Hollomon parameter is shown to be successful in representing the effect of temperature and strain rate on the flow stress of the 3Cr-1Si-1Ni steel. It is found that the flow stress of the 3Cr-1Si-1Ni steel is significantly influenced by strain. The strain-dependence on flow stress is not identical at different temperatures and strain rates. In the constitutive model, the influence of strain in the constitutive analysis is successfully implemented by introducing strain-dependent constants for the constitutive equations. Fifth-order polynomial equations are employed to fit the strain-dependence of the constitutive constant. The proposed constitutive equations which considers the compensation of strain is found to accurately predict flow stress of the 3Cr-1Si-1Ni steel at the temperatures ranging from 800 °C to 1250 °C, strain rate ranging from 0.01/s to 10/s, and strain ranging from 0.05 to 0.6.
Time Period Identification of Events in Text

This study aims at identifying when an event written in text occurs. In particular, we classify a sentence for an event into four time-slots; morning, daytime, evening, and night. To realize our goal, we focus on expressions associated with time-slot (time-associated words). However, listing up all the time-associated words is impractical, because there are numerous time-associated expressions. We therefore use a semi-supervised learning method, the Naive Bayes classifier backed up with the Expectation Maximization algorithm, in order to iteratively extract time-associated words while improving the classifier. We also propose to use Support Vector Machines to filter out noisy instances that indicates no specific time period. As a result of experiments, the proposed method achieved 0.864 of accuracy and outperformed other methods.
Heuristic Selection of Actions in Multiagent Reinforcement Learning

This work presents a new algorithm, called Heuristically Accelerated Minimax-Q (HAMMQ), that allows the use of heuristics to speed up the well-known Multiagent Reinforcement Learning algorithm Minimax-Q. A heuristic function H that influences the choice of the actions characterises the HAMMQ algorithm. This function is associated with a preference policy that indicates that a certain action must be taken instead of another. A set of empirical evaluations were conducted for the proposed algorithm in a simplified simulator for the robot soccer domain, and experimental results show that even very simple heuristics enhances significantly the performance of the multiagent reinforcement learning algorithm.
Growth Hormone Inhibits Hepatic De Novo Lipogenesis in Adult Mice

Patients with nonalcoholic fatty liver disease (NAFLD) are reported to have low growth hormone (GH) production and/or hepatic GH resistance. GH replacement can resolve the fatty liver condition in diet-induced obese rodents and in GH-deficient patients. However, it remains to be determined whether this inhibitory action of GH is due to direct regulation of hepatic lipid metabolism. Therefore, an adult-onset, hepatocyte-specific, GH receptor (GHR) knockdown (aLivGHRkd) mouse was developed to model hepatic GH resistance in humans that may occur after sexual maturation. Just 7 days after aLivGHRkd, hepatic de novo lipogenesis (DNL) was increased in male and female chow-fed mice, compared with GHR-intact littermate controls. However, hepatosteatosis developed only in male and ovariectomized female aLivGHRkd mice. The increase in DNL observed in aLivGHRkd mice was not associated with hyperactivation of the pathway by which insulin is classically considered to regulate DNL. However, glucokinase mRNA and protein levels as well as fructose-2,6-bisphosphate levels were increased in aLivGHRkd mice, suggesting that enhanced glycolysis drives DNL in the GH-resistant liver. These results demonstrate that hepatic GH actions normally serve to inhibit DNL, where loss of this inhibitory signal may explain, in part, the inappropriate increase in hepatic DNL observed in NAFLD patients.
Anonymity Scheme for Interactive P2P Services

The flourishing of Peer-to-Peer (P2P) applications has encouraged extensive research on end-to-end anonymity. In particular, interactive services such as VoIP and instant messaging are becoming extremely popular and require low latency. Preserving the anonymity of users in such services is becoming a major challenge. While existing schemes provide anonymity for the communicating parties; they incur high latency and are not suitable for interactive services. Even designs that attempt to reduce the latency, employ an encryption scheme that involves a comparatively high computation overhead and delay. In this paper, we describe a novel low-latency P2P scheme that provides anonymity for both senders and receivers while adhering to low bounds of delay, communication and bandwidth overheads. The design offers resistance against various attacks including a coalition of malicious peers. It has inherited scalability and fault tolerance and is applicable for various interactive P2P services.
Development and Quality of Fiber Enriched Functional Spent Hen Nuggets Incorporated with Hydrated Wheat Bran

Functional meat products can be developed by various strategies like reduction of fat, saturated fatty acids, salt and nitrite as well as by the incorporation of functional ingredients like fibres (Barros et al., 2018). Consumption of diet containing dietary fiber is linked with control of body weight, reduction of cardiovascular diseases risk and decrease in chronic health problems (WHO/FAO, 2003; Slavin, 2005). Dietary fiber has various beneficial effect like it increase bulkiness of diet, form gel during digestion, slowing of glucose absorption, trapping of carbohydrates, regulate blood pressure and lowering LDL cholesterol (Dhingra et al., 2012). In the present investigation, the effect of hydrated wheat bran on physico-chemical, textural, color and sensory qualities of spent hen meat nuggets were studied. Moisture, protein, fat and aw decreased significantly (P<0.05), while ash, fiber, water holding capacity, emulsion stability and cooking yield increased significantly (P<0.05) with incorporation of wheat bran. It was found that addition of hydrated wheat bran significantly (P<0.05) increased moisture retention and fat retention. Instrumental color profile, lightness (L * ) and yellowness (b * ) increased while redness (a * ) decreased (P<0.05 with addition of hydrated wheat bran. The effect of addition of hydrated wheat bran was also observed on instrumental textural properties of nuggets. Hardness, chewiness and gumminess of spent hem meat nuggets were higher, whereas springiness, stringiness, cohesiveness and resilience were lower in treated products as compared to control. All the sensory properties decreased significantly (P<0.05) with the addition of hydrated wheat bran however, sensory panelists rated the nuggets to be of ‘very good to excellent’ quality. It is concluded that fiber enriched spent hen meat nuggets can be successfully developed with the incorporation of pre-hydrated 8 % wheat bran. K e y w o r d s
Approximate solutions of heat transfer fins with convex and exponential profiles using fourier-based optimization method

Differential equations are at the heart of physics and much of chemistry. In this paper, differential equations of convective-radiative longitudinal fins with convex and exponential profiles have been solved approximately using a Fourier-based optimization approach. Using the concepts of mathematics, Fourier series expansion, and metaheuristics, ordinary differential equations (ODEs) can be modeled as an optimization problem. The optimization's target is to minimize the weighted residual function (cost function) of the ODEs. Boundary and initial conditions of ODEs are considered as constraints for the optimization model. Generational distance metric has been used for evaluation and assessment of the approximate solutions against the exact (numerical) solutions. The optimization task has been performed using two well-known optimizers including the harmony search and particle swarm optimization. Approximate solutions obtained by the applied method have been compared with numerical and approximate methods in literature. The optimization results obtained show that the applied approach can be successfully utilized for approximately solving of longitudinal fins with convex and exponential profiles.
A Data-Centric Approach for Networking Applications

The paper introduces our vision for rapid prototyping of heterogeneous and distributed applications. It abstracts a network as a large distributed database providing a unified view of "objects" handled in networks and applications. The applications interact through declarative queries including declarative networking programs (e.g. routing) and/or specific data-oriented distributed algorithms (e.g. distributed join). Case-Based Reasoning is used for optimization of distributed queries by learning when there is no prior knowledge on queried data sources and no related metadata such as data statistics.
Operating Room Manager Game

The operating room OR department of a hospital forms the heart of the organization, where the single largest cost is incurred. This document presents and reports on the “Operating Room Manager Game,” developed to give insight into managing a large hospital's OR department at various levels of control, and the difficulties of applying OR/MS techniques in healthcare. The players take on the role of management teams of the OR department, and in subsequent rounds follow the actual planning and scheduling process-starting with strategic choices on capacities for an upcoming year, and ending with daily, online planning of actual surgeries in each operating room. The game ends with each team also benchmarking and evaluating the strategies of all players. The game is motivated by the actual setting of a large academic hospital in the Netherlands, which also provided real-life data. It is currently used as part of the lecture on “Optimization of Healthcare Processes” in the Industrial Engineering & Management master's program at the University of Twente. It integrates students' foreknowledge regarding various OR/MS subjects, applied in a healthcare setting.
Mathematical Modelling of the Rehydration Kinetics of Yam (Dioscorea rotundata) Chips in a Microwave Oven

Aim of study was to model rehydration of yam chips dried in a microwave oven at different power levels. We used a completely randomized32 factorial design corresponding to the numeric variables of power (420, 560 and 700 W) and mass (50, 60 and 70 g) in 1 cm thick×3 cm-diameter yam chips. 3 repetitions were made for a total of 27 experimental units. 2, 5 g yam chips were rehydrated using a 2.5 g/100 mL NaCl solution at 25°C. Power and mass variables showed significant differences (p 97,9% and 0,001<SSE<0,01), which suggests that this is the model that best describes the rehydration characteristics of yam.
Classification and feature selection algorithms for multi-class CGH data

Recurrent chromosomal alterations provide cytological and molecular positions for the diagnosis and prognosis of cancer. Comparative genomic hybridization (CGH) has been useful in understanding these alterations in cancerous cells. CGH datasets consist of samples that are represented by large dimensional arrays of intervals. Each sample consists of long runs of intervals with losses and gains. In this article, we develop novel SVM-based methods for classification and feature selection of CGH data. For classification, we developed a novel similarity kernel that is shown to be more effective than the standard linear kernel used in SVM. For feature selection, we propose a novel method based on the new kernel that iteratively selects features that provides the maximum benefit for classification. We compared our methods against the best wrapper-based and filter-based approaches that have been used for feature selection of large dimensional biological data. Our results on datasets generated from the Progenetix database, suggests that our methods are considerably superior to existing methods. Availability: All software developed in this article can be downloaded from http://plaza.ufl. edu/junliu/feature.tar. gz Contact: juliu@cise.ufl. edu
The recognition of membrane‐bound PtdIns3P by PX domains

Phox‐homology (PX) domains target proteins to the organelles of the secretary and endocytic systems by binding to phosphatidylinositol phospholipids (PIPs). Among all the structures of PX domains that have been solved, only three have been solved in a complex with the main physiological ligand: PtdIns3P. In this work, molecular dynamic simulations have been used to explore the structure and dynamics of the p40phox–PX domain and the SNX17–PX domain and their interaction with membrane‐bound PtdIns3P. In the simulations, both PX domains associated spontaneously with the membrane‐bound PtdIns3P and formed stable complexes. The interaction between the p40phox–PX domain and PtdIns3P in the membrane was found to be similar to the crystal structure of the p40phox–PX–PtdIns3P complex that is available. The interaction between the SNX17–PX domain and PtdIns3P was similar to that observed in the p40phox–PX–PtdIns3P complex; however, some residues adopted different orientations. The simulations also showed that nonspecific interactions between the β1–β2 loop and the membrane play an important role in the interaction of membrane bound PtdIns3P and different PX domains. The behaviour of unbound PtdIns3P within a 2‐oleoyl‐1‐palmitoyl‐sn‐glycero‐3‐phosphocholine (POPC) membrane environment was also examined and compared to the available experimental data and simulation studies of related molecules. Proteins 2014; 82:2332–2342. © 2014 Wiley Periodicals, Inc.
Finite Element Modeling of Smart Timoshenko Beams with Piezoelectric Materials

In the present work, a finite element model has been proposed to describe the response of isotropic and anisotropic smart beams with piezoelectric materials subjected to different mechanical loads as well as electrical load. The assumed field displacements of the beam are represented by First-order Shear Deformation Theory (FSDT), the Timoshenko beam theory. The equation of motion of the smart beam system is derived using the principle of virtual displacements. A hermit cubic shape function is used to represent the axial displacement u, the transverse displacement is represented by a quadratic shape function, and the normal rotation is represented by a linear shape function and the electric potential at each node. The shear correction factor is used to improve the obtained results. A MATLAB code is developed to compute the natural frequency and the static deformations of the structure system due to the applied mechanical and electrical loads at different boundary conditions. The obtained results obtained of the developed are compared to the available results of other investigators, good agreement is generally obtained.
Where Is Client/Server Software Headed?

Computers have moved to desktops; now, the underlying software is itself evolving. The direction computing will take is clear, but the route it will take is a matter for some speculation. We examine several promising software ideas, especially distributed software and its underlying infrastructure called middleware. Industrial software is being driven by document-centric design, reusable component implementation based on industry standards, and end-user programming. >
Reducing the contact and channel resistances of black phosphorus via low-temperature vacuum annealing

The effects of post-fabrication vacuum annealing on the performance of black phosphorus (BP) field-effect transistors (FETs) were investigated. Ohmic contact to the BP layer was improved after vacuum annealing below 250 °C, showing better linearity in current–voltage output characteristics. In addition, the channel resistance was greatly improved from 39.5 to 0.299 kΩ mm after vacuum annealing over 200 °C due to the desorption of residues and adsorbates, which led to an enhanced device performance including a higher current injection efficiency, field-effect hole mobility (5.04 to 140 cm2 V−1 s−1), current on/off ratio (2.34 to 370), lower Ohmic loss (17.8 to 0.103 kΩ mm), and less hysteresis. The field-effect hole mobilities and current on/off ratios of the BP FET device vacuum-annealed at 250 °C were found to be 28 and 158 times higher, respectively, than those of the as-fabricated device. However, the device performance deteriorated after vacuum annealing over 300 °C owing to the catalytic amorphization of BP caused by the metal electrodes. Our results pave the way towards the development of high-performance BP-based devices with minimal parasitic elements via low-temperature vacuum annealing.