Miracle-dz/UniFAR-FTUs huggingface dataset:
Comparative study of variable flux memory machines with parallel and series hybrid magnets

Variable flux memory (VFM) permanent magnet (PM) machines exhibit an additional degree-of-freedom for control, i.e. PM magnetization state, and thus excellent flux controllability. Moreover, the hybrid PM topologies having variable PM (VPM) with low coercive force and constant PM (CPM) with high coercive force at the same time, are employed to improve the torque density and the flux controllability. The parallel and series connections between the two different kinds of PMs are both feasible. Based on two-dimensional (2-D) finite element (FE) analysis, the VFM machines with these two connection types are investigated and compared in this paper. The results reveal that the VPM with series connected CPM is beneficial for more stable working point and better torque density. A pair of VFM prototypes with parallel and series hybrid PMs respectively are manufactured and tested to validate the analyses.
The Detection of Curve-type Defects in the TFT-LCD panels with Machine Vision

The needs of automated inspection system are grown for the flat panel displays (FPD). However, it is so difficult to detect the defects on the surface of FPD due to non-uniform intensity distribution through the whole panel. Especially, curve-type defects such as micro sized thread and scratch are too difficult to detect with the conventional methods. In this paper, we propose a robust detection algorithm for curve-type defects. The proposed algorithm is composed of flattening, segmentation, and classification. The flattening makes intensity distribution likely to be uniform. The segmentation extracts candidates of curve-type defect and the classification selects real defects from candidates. The experimental result verifies the performance of the proposed method.
Protective effects of Sesbania grandiflora on kidney during alcohol and polyunsaturated fatty acid-induced oxidative stress

Context: Kidney is an organ highly vulnerable to damage caused by reactive oxygen species (ROS), due to abundance of polyunsaturated fatty acids in the composition of renal lipids. Oxidative stress plays an important role in the development of alcohol-induced tissue injury. This leads to membrane damage by lipid peroxidation, alteration of enzyme function and formation of acetaldehyde protein adducts. Many alcoholics along with alcohol consume fried foods that are normally made up of polyunsaturated fatty acid (PUFA). The toxic effects of alcohol are further enhanced by the consumption of PUFA. Objective: In our study, we analyzed the effect of Sesbania grandiflora (S. grandiflora) on alcohol and PUFA-induced oxidative stress in male albino Wistar rats. Materials and methods: The levels of lipid peroxidative markers (thiobarbutric acid reactive substances [TBARS] and lipid hydroperoxides [HP]), the levels of antioxidant enzymes (catalase, superoxide dismutase, glutathione peroxidase) and non-enzymatic (reduced glutathione, vitamin E, vitamin C) antioxidants were analyzed in kidney to evaluate the effects of S. grandiflora. Results: The levels of TBARS and HP were significantly increased in alcohol + ΔPUFA group, which were found to be reduced on treatment with S. grandiflora. The levels of both enzymatic and non-enzymatic antioxidants were decreased in alcohol + ΔPUFA group, which were found to be restored on treatment with S. grandiflora. Conclusion: From this, we conclude that S. grandiflora protects the kidney against alcohol and PUFA-induced oxidative stress, which can be attributed to the phenolic compounds and anthocyanins present in the plant.
Biosynthesis of selenophosphate

Selenophosphate synthetase, the product of the selD gene, produces the highly active selenium donor, monoselenophosphate, from selenide and ATP. Positional isotope exchange experiments have shown hydrolysis of ATP occurs by way of a phosphoryl‐enzyme intermediate. Although, mutagenesis studies have demonstrated Cys17 in the Escherichia coli enzyme is essential for catalytic activity the nucleophile in catalysis has not been identified. Recently, selenophosphate synthetase enzymes have been identified from other organisms. The human enzyme which contains a threonine residue corresponding to Cys17 in the E. coli enzyme, has been overexpressed in E. coli. The purified enzyme shows no detectable activity in the in vitro selenophosphate synthetase assay. In contrast, when the human enzyme is expressed to complement a selD mutation in E. coli, in the presence of 75Se, incorporation of 75Se into bacterial selenoproteins is observed. The inactive purified human enzyme together with the very low determined specific activity of the E. coli enzyme (83 nmol/min/mg) suggest an essential component for the formation of selenophosphate has not been identified.
Cost-Effectiveness of Long-Acting Injectable Paliperidone Palmitate vs. Haloperidol Decanoate in Maintenance Treatment of Schizophrenia

Objective— This study assessed the relative cost-effectiveness of a first generation and a second generation long-acting injectable antipsychotic: haloperidol decanoate (HD) and paliperidone palmitate (PP), respectively. Methods— A multisite, double-blind, randomized 18-month clinical trial conducted at 22 clinical research U.S. sites with adults diagnosed with schizophrenia or schizoaffective disorder (n=311) clinically assessed to benefit from a LAI antipsychotic. Patients were randomly assigned to Intramuscular injections of HD 25–200 mg or PP 39–234 mg every month for up to 24 months. Quality Adjusted Life Years was measured by a schizophrenia-specific algorithm based on the Positive and Negative Syndrome Scale and side effect assessments; and total health care costs from the perspective of the health system. Results— Mixed model analysis of QALYs showed PP with . 027 greater QALYs over 18 months (p=.03) but also greater average quarterly inpatient, outpatient and medication costs of $2,100/ quarter (p<.0001). Bootstrap analysis with 5,000 replications showed an Incremental Cost effectiveness ratio for PP of $508,241/QALY (95% CI of $122,390–$1,582,711). Net Health Benefits analysis showed a 0.98 probability of greater cost-effectiveness for HD over PP at an estimated valuation of health of $150,000/QALY and only 0.50 greater at $500,000/QALY. Conclusions— HD was more cost-effective than PP suggesting that PP’s slightly greater benefits do not justify its markedly higher on-patent costs. one cost-effective the the conventional 5% we calculate the probability that HD had greater net health benefits than PP at each of the estimated monetary values of a QALY. This calculation was based on a 1-tailed test based on the p-value associated with the coefficient for the treatment variable, representing the significance of differences between the treatments calculated as HD-PP, and was computed as 1-p/2 (21). These data allow plotting of a Cost-Effectiveness
Linear Convergence of Proximal Gradient Algorithm with Extrapolation for a Class of Nonconvex Nonsmooth Minimization Problems

In this paper, we study the proximal gradient algorithm with extrapolation for minimizing the sum of a Lipschitz differentiable function and a proper closed convex function. Under the error bound condition used in [19] for analyzing the convergence of the proximal gradient algorithm, we show that there exists a threshold such that if the extrapolation coefficients are chosen below this threshold, then the sequence generated converges $R$-linearly to a stationary point of the problem. Moreover, the corresponding sequence of objective values is also $R$-linearly convergent. In addition, the threshold reduces to $1$ for convex problems and, as a consequence, we obtain the $R$-linear convergence of the sequence generated by FISTA with fixed restart. Finally, we present some numerical experiments to illustrate our results.
Dynamic imaging of nuclear wave functions with ultrashort UV laser pulses.

Non-Born-Oppenheimer supercomputer simulations of dissociative ionization of H2(+) with an ultrashort (t(p) < 15 fs), intense UV (lambda = 30, 60 nm) laser pulse are used to illustrate the imaging of nuclear motion. The resulting kinetic energy spectra of protons from Coulomb explosion lead by a simple inversion procedure to reconstruction of the initial nuclear probability distribution, i.e., laser Coulomb explosion imaging. Simultaneously, kinetic energy spectra of the ionized electron lead by energy conservation to the same reconstruction of the initial nuclear probability distribution, by laser photoelectron imaging.
A new numerical scheme for the CIR process

Abstract In this paper we generalize an explicit numerical scheme for the CIR process that we have proposed before. The advantage of the new proposed scheme is that preserves positivity and is well posed for a (little bit) broader set of parameters among the positivity preserving schemes. The order of convergence is at least logarithmic in general and for a smaller set of parameters is at least 1/4.
Catalase is a sink for H2O2 and is indispensable for stress defence in C3 plants

Hydrogen peroxide (H2O2) has been implicated in many stress conditions. Control of H2O2 levels is complex and dissection of mechanisms generating and relieving H2O2 stress is difficult, particularly in intact plants. We have used transgenic tobacco with ∼10% wild‐type catalase activity to study the role of catalase and effects of H2O2 stress in plants. Catalase‐deficient plants showed no visible disorders at low light, but in elevated light rapidly developed white necrotic lesions on the leaves. Lesion formation required photorespiratory activity since damage was prevented under elevated CO2. Accumulation of H2O2 was not detected during leaf necrosis. Alternative H2O2‐scavenging mechanisms may have compensated for reduced catalase activity, as shown by increased ascorbate peroxidase and glutathione peroxidase levels. Leaf necrosis correlated with accumulation of oxidized glutathione and a 4‐fold decrease in ascorbate, indicating that catalase is critical for maintaining the redox balance during oxidative stress. Such control may not be limited to peroxisomal H2O2 production. Catalase functions as a cellular sink for H2O2, as evidenced by complementation of catalase deficiency by exogenous catalase, and comparison of catalase‐deficient and control leaf discs in removing external H2O2. Stress analysis revealed increased susceptibility of catalase‐deficient plants to paraquat, salt and ozone, but not to chilling.
Combination of searches for heavy resonances decaying to WW, WZ, ZZ, WH, and ZH boson pairs in proton–proton collisions at √s = 8 and 13 TeV

A statistical combination of searches is presented for massive resonances decaying to WW, WZ, ZZ, WH, and ZH boson pairs in proton–proton collision data collected by the CMS experiment at the LHC. The data were taken at centre-of-mass energies of 8 and 13TeV, corresponding to respective integrated luminosities of 19.7 and up to 2.7fb − 1 . The results are interpreted in the context of heavy vector triplet and singlet models that mimic properties of composite-Higgs models predicting W (cid:3) and Z (cid:3) bosons decaying to WZ, WW, WH, and ZH bosons. A model with a bulk graviton that decays into WW and ZZ is also considered. This is the ﬁrst combined search for WW, WZ, WH, and ZH resonances and yields lower limits on masses at 95% conﬁdence level for W (cid:3) and Z (cid:3) singlets at 2.3TeV, and for a triplet at 2.4TeV. The limits on the production cross section of a narrow bulk graviton resonance with the curvature scale of the warped extra dimension ˜ k = 0 . 5, in the mass range of 0.6 to 4.0TeV, are the most stringent published to date.
Sampling Weight Calibration with Estimated Control Totals

Title of dissertation: SAMPLING WEIGHT CALIBRATION WITH ESTIMATED CONTROL TOTALS Jill A. Dever, Doctor of Philosophy, 2008 Dissertation directed by: Professor Richard Valliant Joint Program in Survey Methodology Sample weight calibration, also referred to as calibration estimation, is a widely applied technique in the analysis of survey data. This method borrows strength from a set of auxiliary variables and can produce weighted estimates with smaller mean square errors than those estimators that do not use the calibration adjustments. Poststratification is a well-known calibration method that forces weighted counts within cells generated by cross-classifying the categorical (or categorized) auxiliary variables to equal the corresponding population control totals. Several assumptions are critical to the theory developed to date for weight calibration. Two assumptions relevant to this research include: (i) the control totals calculated from the population of interest and known without (sampling) error; and (ii) the sample units selected for the survey are taken from a sampling frame that completely covers the population of interest (e.g., no problems with frame undercoverage). With a few exceptions, research to date generally is conducted as if these assumptions hold, or that any violation does not affect estimation. Our research directly examines the violation of the two assumptions by evaluating the theoretical and empirical properties of the mean square error for a set of calibration estimators, newly labeled as estimated-control (EC) calibration estimators. Specifically, this dissertation addresses the use of control totals estimated from a relatively small survey to calibrate sample weights for an independent survey suffering from undercoverage and sampling errors. The EC calibration estimators under review in the current work include estimated totals and ratios of two totals, both across all and within certain domains. The ultimate goal of this research is to provide survey statisticians with a sample variance estimator that accounts for the violated assumptions, and has good theoretical and empirical properties. SAMPLING WEIGHT CALIBRATION WITH ESTIMATED CONTROL TOTALS
Phenotypic and in vivo functional characterization of immortalized human fetal liver cells

Abstract We report the establishment and characterization of immortalized human fetal liver progenitor cells by expression of the Simian virus 40 large T (SV40 LT) antigen. Well-characterized cells at various passages were transplanted into nude mice with acute liver injury and tested for functional capacity. The SV40LT antigen-immortalized fetal liver cells showed a morphology similar to primary cells. Cultured cells demonstrated stable phenotypic expression in various passages, of hepatic markers such as albumin, CK 8, CK18, transcription factors HNF-4α and HNF-1α and CYP3A/7. The cells did not stain for any of the tested cancer-associated markers. Albumin, HNF-4α and CYP3A7 expression was confirmed by reverse transcription polymerase chain reaction (RT-PCR). Flow cytometry showed expression of some progenitor cell markers. In vivo study showed that the cells expressed both fetal and differentiated hepatocytes markers. Our study suggests new approaches to expand hepatic progenitor cells, analyze their fate in animal models aiming at cell therapy of hepatic diseases.
Applications of Rough Genetic Algorithms

This paper describes rough genetic algorithms based on the notion of interval values. A gene in a rough genetic algorithm can be represented using an interval. The paper explains how this generalization facilitates development of new genetic operators and evaluation measures. Various operations of rough genetic algorithms are illustrated using a simple document retrieval example. An experiment involving classification of interval‐valued traffic patterns demonstrates the usefulness of rough genetic algorithms for real‐world applications. A discussion on further extensions of rough genetic algorithms to rough sets is also included.
Small Data Center using Raspberry Pi 2 for Video Streaming

Network throughput in small data centers increases due to the increasing number of video steaming service consumers. Raspberry Pi 2's (RPi2s) may make video streaming analysis more efficient, for reasons of costs and energy consumption. Video streaming is analyzed by building a cluster of RPi2s using the Design Science methodology and evaluated with several load balancing benchmarks targeting CPU processing, power, and network efficiency. Furthermore, temperature measurements are obtained and show that low heat is generated while operating, due to low power consumption. The power consumption of existing streaming servers can be improved, since they have
Complexation of Furosemide with Fulvic Acid Extracted from Shilajit : A Novel Approach

The aim of the present work was to complex furosemide (FSM) with fulvic acid (FA) extracted from shilajit with the hope of having a better understanding of the complexation behavior. The effect of FA on the aqueous solubility, dissolution rate, and permeability of FSM was investigated. Different techniques, such as grinding, freeze drying, solvent evaporation, and so forth, were used for the preparation of the complex. The complexes were prepared in molar ratios of 1:1 and 1:2 FSM:FA and were evaluated for drug inclusion, solubility, differential scanning calorimetry, Fourier transform infrared spectroscopy, X-ray diffraction, scanning electron microscopy, dissolution study, and permeation study. These methods confirm the formation of an amorphous inclusion complex of FSM with FA.
Rational Molecular Design of Potent PLK1 PBD Domain‐binding Phosphopeptides Using Preferential Amino Acid Building Blocks

Polo‐like kinase 1 (PLK1) is an important regulator in diverse aspects of the cell cycle and proliferation. The protein has a highly conserved polo‐box domain (PBD) present in C‐terminal noncatalytic region, which exhibits a relatively broad sequence specificity in recognizing and binding phosphorylated substrates to control substrate phosphorylation by the kinase. In order to elucidate the structural basis, thermodynamic property, and biological implication underlying PBD‐substrate recognition and association, a systematic amino acid preference profile of phosphopeptide interaction with PLK1 PBD domain was established via virtual mutagenesis analysis and mutation energy calculation, from which the contribution of different amino acids at each residue position of two reference phosphopeptides to domain–peptide binding was characterized comprehensively and quantitatively. With the profile, we are able to determine the favorable, neutral, and unfavorable amino acid types for each position of PBD‐binding phosphopeptides, and we also explored the molecular origin of the broad sequence specificity in PBD‐substrate recognition. To practice computational findings, the profile was further employed to guide rational design of potent PBD binders; three 6‐mer phosphopeptides (i.e., IQSpSPC, LQSpTPF, and LNSpTPT) were successfully developed, which can efficiently target PBD domain with high affinity (Kd = 5.7 ± 1.1, 0.75 ± 0.18, and 7.2 ± 2.6 μm, resp.) as measured by a fluorescence anisotropy assay. The complex structure of PLK1 PBD domain with a newly designed, potent phosphopeptide LQSpTPF as well as diverse noncovalent chemical forces, such as H‐bonds and hydrophobic interactions at the complex interface, were examined in detail to reveal the molecular mechanism of high affinity and stability of the complex system.
Occlusal Caries Detection with KaVo DIAGNOdent and Radiography: An in vitro Comparison

A new laser fluorescence method, KaVo DIAGNOdent, was tested with respect to reproducibility and validity and compared with radiography regarding accuracy in the detection of occlusal caries. Seventy–six extracted premolar and molar teeth were measured twice with DIAGNOdent under both wet and dry conditions, at an interval of 2 weeks. Conventional film radiographs were exposed. Microradiographic analysis of sections of the teeth served as the gold standard. Intra–class correlation coefficient and Pearson’s correlation coefficient were used to assess the reproducibility and the validity of the method, respectively. The influence of time and varying humidities on DIAGNOdent readings were analysed by two–way repeated measure ANOVA. ROC curves were plotted for DIAGNOdent readings and radiographic registration of caries by 6 observers, and the areas under the curves were compared using Student’s t test. Under both wet and dry conditions, the reproducibility of the DIAGNOdent method was excellent: R = 0.97 and 0.96, respectively. The diagnostic accuracy of DIAGNOdent was significantly better than that of radiography (p≤0.001). In this in vitro study of detection of occlusal caries, the diagnostic performance of the DIAGNOdent method was superior to that of radiography.
OUTCOMES OF OLDER PEOPLE ADMITTED TO POSTACUTE FACILITIES WITH DELIRIUM

Objectives: To compare outcomes of patients admitted to postacute skilled nursing facilities with delirium, subsyndromal delirium, and no delirium. Design: Observational cohort study. Setting: Seven skilled nursing facilities that specialize in postacute care within a single metropolitan region. Participants: Five hundred four subjects chosen from 1,248 consenting subjects aged 65 and older who underwent mental status testing within 5 days of admission to the participating facilities. Subjects who met full Confusion Assessment Method (CAM) criteria were classified as delirious, those with one or more CAM criteria were classified as having subsyndromal delirium, and those with no CAM features were classified as having no delirium. All subjects with delirium and with available medical records were included. A random subset of subjects with no delirium and subsyndromal delirium with available medical records was included. Measurements: The medical records of all subjects underwent a structured review by trained research nurses who were masked to the subjects' initial delirium status. Records were reviewed for the development of new complications within the postacute setting and to determine whether the subjects were discharged within 30 days and, if so, the discharge destination. The National Death Index was used to assess 6-month mortality. Results: Subjects with delirium were more likely to experience one or more complications than subjects with no delirium (73% vs 41%, P < .01). Within 30 days of postacute admission, subjects with delirium were more than twice as likely to be rehospitalized (30% vs 13%), and less than half as likely to be discharged to the community (30% vs 73%) than subjects without delirium (differences P < .01). Subjects with subsyndromal delirium had outcomes intermediate between those with and without delirium. Finally, subjects admitted to the postacute setting with delirium experienced a 6-month mortality rate of 25.0%, compared with 5.7% in subjects admitted without delirium. Subjects with subsyndromal delirium had a 6-month mortality rate of 18.3%. Conclusion: Patients admitted to postacute skilled nursing facilities with delirium are more likely to experience complications, rehospitalization, and death than patients without delirium. These findings support the need for improved case finding and management of delirium in postacute care.
Ozone Concentration Forecasting Using Statistical Learning Approaches

In this paper, we are interested in the statistical modeling and forecasting of the daily maximum ozone concentration in three monitoring stations from Tunisia. A large number of explicative variables has been considered in our study. We have focused our attention on the problem of variable selection in order to improve the forecasting performance. To achieve our goal, we have used Support Vector Regression (SVR) and Random Forests (RF). The main novelties of this paper are: the variety and originality of the approaches for variable selection in regression, and the audaciousness to deal with a sticky situation characterized by a relatively big pannier of explicative variables compared to the number of observations. The experimental results demonstrate that Random Forests outperform Support Vector Regression in variable ranking and selection. Finally, it was shown that the forecasting accuracy is at least preserved, for the three stations, when using only the selected variables. Received 18 Oct 2016, Revised 22 Feb 2017, Accepted 27 Feb 2017