Miracle-dz/UniFAR-FTUs huggingface dataset:
Frailty as tested by the Liver Frailty Index in out-patient patients with cirrhosis in China: a cross-sectional study

Background Early identification and prevention of frailty are very important for patients with cirrhosis. Methods The study was the first to use Liver Frailty Index in out-patient patients with cirrhosis in China, and to analyze the influencing factors. Result This study included 387 patients with cirrhosis. Frailty was diagnosed using the Liver Frailty Index. Multiple Logistic regression model were used to analyze influencing factors of frailty in out-patient patients with cirrhosis. Frailty was diagnosed in 9.6% of patients and prefrailty was diagnosed in 54.8% of patients. Age, sex, BMI, education level, monthly economic income, number of unplanned hospital admissions in the past year, cause of cirrhosis, Child-Pugh classification of cirrhosis, nutritional risk, physical activity, gait speed and Activity of Daily Living (ADL) Scale in the frailty, prefrailty and no frailty of groups were statistically significant. Age (OR, 1.103; CI, 0.064–0.132), BMI (OR, 0.817; CI, −0.302 to −0.104), education level (OR, 4.321; CI, 0.754–2.173), physical activity (OR, 3.580; CI, 0.534–2.016) and gait speed (OR, 0.001; CI, −8.188 to −4.972) were influential factors of frailty in out-patient patients with cirrhosis. Conclusion Out-patient patients with cirrhosis have a high incidence of frailty and prefrailty. Elderly, reduced gait speed, no physical activity and low culture level are risk factors for frailty and prefrailty, and we should be identification and intervention early.
Atomic scattering spectroscopy for determination of the polarity of semipolar AlN grown on ZnO

Determination of the polarity of insulating semipolar AlN layers was achieved via atomic scattering spectroscopy. The back scattering of neutralized He atoms on AlN surfaces revealed the atomic alignment of the topmost layers of semipolar AlN and the ZnO substrate. Pole figures of the scattering intensity were used to readily determine the polarity of these wurtzite-type semipolar materials. In addition, we found that +R-plane AlN epitaxially grows on −R-plane ZnO, indicating that the polarity flips at the semipolar AlN/ZnO interface. This polarity flipping is possibly explained by the appearance of −c and m-faces on the −R ZnO surfaces, which was also revealed by atomic scattering spectroscopy.
PENGARUH KNOWLEDGE MANAGEMENT, SKILL, DAN ATTITUDE TERHADAP KINERJA KARYAWAN (STUDI KASUS PT SUN LIFE SYARIAH DI JAKARTA)

Penelitian ini bertujuan untuk mengetahui pengaruh Knowledge Management, Skill, dan Attitude Terhadap Kinerja Karyawan. Objek penelitian ini adalah Karyawan PT Sun Life Syariah berlokasi di Jakarta. Penelitian ini dilakukan terhadap 35 responden dengan menggunakan design penelitian kausal. Teknik analisis yang digunakan untuk pengujian ini adalah analisis deskriptif dan uji instrumen dalam bentuk Uji Validasi dan Uji Realibilitas dengan software smartPLS (Partial Least Square) Versi 3.0. hasil penelitian ini menunjukan bahwa Knowledge Management berpengaruh positif terhadap Kinerja Karyawan, dan Skill berpengaruh positif terhadap Kinerja Karyawan, dan Attitude berpengaruh positif terhadap Kinerja Karyawan PT Sun Life Syariah di Jakarta.
Improved visualization of high-dimensional data using the distance-of-distance transformation

Dimensionality reduction tools like t-SNE and UMAP are widely used for high-dimensional data analysis. For instance, these tools are applied in biology to describe spiking patterns of neuronal populations or the genetic profiles of different cell types. Here, we show that when data include noise points that are randomly scattered within a high-dimensional space, a “scattering noise problem” occurs in the low-dimensional embedding where noise points overlap with the cluster points. We show that a simple transformation of the original distance matrix by computing a distance between neighbor distances alleviates this problem and identifies the noise points as a separate cluster. We apply this technique to high-dimensional neuronal spike sequences, as well as the representations of natural images by convolutional neural network units, and find an improvement in the constructed low-dimensional embedding. Thus, we present an improved dimensionality reduction technique for high-dimensional data containing noise points.
Modelling spatially correlated data via mixtures: a Bayesian approach

Summary. The paper develops mixture models for spatially indexed data. We confine attention to the case of finite, typically irregular, patterns of points or regions with prescribed spatial relationships, and to problems where it is only the weights in the mixture that vary from one location to another. Our specific focus is on Poisson‐distributed data, and applications in disease mapping. We work in a Bayesian framework, with the Poisson parameters drawn from gamma priors, and an unknown number of components. We propose two alternative models for spatially dependent weights, based on transformations of autoregressive Gaussian processes: in one (the logistic normal model), the mixture component labels are exchangeable; in the other (the grouped continuous model), they are ordered. Reversible jump Markov chain Monte Carlo algorithms for posterior inference are developed. Finally, the performances of both of these formulations are examined on synthetic data and real data on mortality from a rare disease.
Mathematische Analyse der Bereiche reibungsbehafteter Strömungen

Die Grundlagen zur Beschreibung der infolge kleiner lokaler Storungen entstehenden Wellenpakete in einer instabilen, dreidimensionalen, kompressiblen Stromung werden dargestellt. Die Einteilung in konvektiv und absolut instabiles Verhalten der Storungen wird ebenso erlautert wie die mathematischen Kriterien (Kollisions, Sattelpunktkriterium) zur Unterscheidung dieser beiden Phanomene. Die konkret durchgefuhrten Analysen zu Querstromungs und Tollmien-Schlichtingschen Instabilitaten an einem gepfeilten Tragflugel zeigen fur beide Falle konvektiv instabiles Verhalten. Die Anfachung der Querstromungsinstabilitat reagiert auserordentlich stark auf kleine Pfeilwinkelanderungen in der Nahe einer Flugelpfeilung von ca. 20°. The basics of the description of wave packets generated by localized disturbances in an unstable three-dimensional compressible flow are presented. The classification into convectively and absolutely unstable behaviour is explained as well as the mathematical criteria (collision, saddlepoint criterion) for the distinction of these two phenomena. The worked out stability analyses of crossflow and Tollmien-Schlichting instability on a swept wing both show convectively unstable behaviour. The amplification of the crossflow instability reacts strongly upon small changes in sweep angle near a wing sweep of about 20°.
Estimation of Vehicle Dynamic Response from Track Irregularity Using Deep Learning Techniques

To improve the quality of track maintenance work, it is a desire to estimate vehicle dynamic behavior from track geometry irregularities. This paper proposes a deep learning model to predict vehicle responses (e.g., vertical wheel-rail forces, wheel unloading rate, and car body vertical acceleration) using deep learning techniques. In the proposed CA-CNN-MUSE model, convolutional neural networks (CNNs) are used to learn features of track irregularities, and multiscale self-attention mechanisms (MUSE) are employed to capture the long-term and short-term trends of sequences. Coordinate attention (CA) is introduced into CNN to focus on important interchannel relationships and important spatial mileage points. The experiments were performed on a multibody simulation model of the vehicle system and the measured data of the actual high-speed line. The results show that the CA-CNN-MUSE has high prediction accuracy for vertical vehicle responses and fast computation speed. The predicted time-domain waveforms and power spectral densities (PSDs) agree well with the actual vehicle responses. The main features of the lateral vehicle responses can also be captured by the proposed method, yet the results are not as good as the vertical ones.
Fast Timing in Medical Imaging

We report in this article on the Fast Timing in Medical Imaging workshop, (Valencia, 2 June 2022). The workshop gathered 104 attendees from all over the world, with representatives from the academic and industrial sectors. During three very dense days, nuclear medicine physicians, radiologists, oncologists, immunologists, and biologists have debated with physicists, engineers, technologists of different disciplines, as well as with medical imaging industry representatives to devise about the importance of improving the timing performance of a new generation of medical imaging instrumentation, with a special focus on positron emission tomography scanners toward the ultimate goal of 10-ps coincidence time resolution (CTR), allowing a millimeter 3-D spatial resolution on an event-to-event basis by time-of-flight (TOF) techniques. This article summarizes the most up-to-date developments on the roadmap toward the 10-ps time of flight challenge based on the contributions to this workshop.
An algorithm for retrieval of ocean surface and atmospheric parameters from the observations of the scanning multichannel microwave radiometer

The scanning multichannel microwave radiometer is a five-frequency (6.6, 10.7, 18, 21, and 37 GHz), dual-polarized microwave radiometer, which was launched in two separate satellites, Nimbus 7 and Seasat, in 1978. A formalism is developed which can be used to interpret the data in terms of sea surface temperature, sea surface wind speed, and the atmospheric content of water vapor and liquid water. It is shown with reasonable instrumental performance assumptions that these parameters can be derived to useful accuracies. Although the algorithms are not derived for use in rain, it is shown that at least token rain rates can be tolerated without invalidating the retrieved geophysical parameters.
Molecular Docking Studies and the Effect of Fluorophenylthiourea Derivatives on Glutathione‐Dependent Enzymes

Cancer is a serious problem affecting the health of all human societies. Chemotherapy refers to the use of drugs to kill cancer or the origin of cancer. In the past three decades, researchers have studied about proteins and their roles in the production of cancer cells. Glutathione S‐transferases (GSTs) are a superfamily of enzymes that play a key role in cellular detoxification, protecting against reactive electrophiles attacks, including chemotherapeutic agents. Glutathione reductase (GR) is an important antioxidant enzyme involved in protecting the cell against oxidative stress. In this current study, GST and GR enzymes were purified from human erythrocytes using affinity chromatography. GR was obtained with a specific activity of 5.95 EU/mg protein and a 52.38 % yield. GST was obtained with a specific activity of 4.88 EU/mg protein and a 74.88 % yield. The effect of fluorophenylthiourea derivatives on the purified enzymes was investigated. Afterward, KI values were found to range from 23.04±4.37 μM–59.97±13.45 μM for GR and 7.22±1.64 μM–41.24±2.55 μM for GST. 1‐(2,6‐difluorophenyl)thiourea was showed the best inhibition effect for both GST and GR enzymes. The relationships of inhibitors with 3D structures of GST and GR were explained by molecular docking studies.
Self-Repairable Silicon Anodes Using a Multifunctional Binder for High-Performance Lithium-Ion Batteries.

Despite of extremely high theoretical capacity of Si (3579 mAh g-1 ), Si anodes suffer from pulverization and delamination of the electrodes induced by large volume change during charge/discharge cycles. To address those issues, herein, self-healable and highly stretchable multifunctional binders, polydioxythiophene:polyacrylic acid:phytic acid (PEDOT:PAA: PA, PDPP) that provide Si anodes with self-healability and excellent structural integrity is designed. By utilizing the self-healing binder, Si anodes self-repair cracks and damages of Si anodes generated during cycling. For the first time, it is demonstrated that Si anodes autonomously self-heal artificially created cracks in electrolytes under practical battery operating conditions. Consequently, this self-healable Si anode can still deliver a reversible capacity of 2312 mAh g-1 after 100 cycles with remarkable initial Coulombic efficiency of 94%, which is superior to other reported Si anodes. Moreover, the self-healing binder possesses enhanced Li-ion diffusivity with additional electronic conductivity, providing excellent rate capability with a capacity of 2084 mAh g-1 at a very high C-rate of 5 C.
Microstructure and electrical properties of ferroelectric Pb(Zr0.53Ti0.47)O3 films on Si with TiO2 buffer layers

Pb(Zr0.53Ti0.47)O3 (PZT) thin films were prepared on p-type Si(100) substrates with TiO2 buffer layers. Both the PZT films and TiO2 buffer layers were deposited by the pulsed laser deposition technique using a KrF excimer laser. The depth profile of the constituent elements observed by Auger electron spectrometry (AES) showed that TiO2 buffer layers effectively prevented interdiffusion between PZT and Si substrates. The capacitance-voltage (C-V) characteristics of the Pt/PZT/TiO2/Si structures exhibited ferroelectric switching properties and a memory window of about 2.0 V at an applied voltage of 6.0 V.
Proximal and Distal Honor Fit and Subjective Well-Being in the Mediterranean Region.

INTRODUCTION People's psychological tendencies are attuned to their sociocultural context and culture-specific ways of being, feeling, and thinking are believed to assist individuals in successfully navigating their environment. Supporting this idea, stronger "fit" with one's cultural environment has often been linked to positive psychological outcomes. The current research expands the cultural, conceptual, and methodological space of cultural fit research by exploring the link between well-being and honor, a central driver of social behavior in the Mediterranean region. METHOD Drawing on a multi-national sample from eight countries circum-Mediterranean (N = 2,257), we examined the relationship between cultural fit in honor and well-being at the distal level (fit with one's perceived society) using response surface analysis (RSA) and at the proximal level (fit with one's university gender group) using profile analysis. RESULTS We found positive links between fit and well-being in both distal (for some, but not all, honor facets) and proximal fit analyses (across all honor facets). Furthermore, most fit effects in the RSA were complemented with positive level effects of the predictors, with higher average honor levels predicting higher well-being. CONCLUSION Our findings highlight the interplay between individual and environmental factors in honor as well as the important role honor plays in well-being in the Mediterranean region.
Anomalous impurity transport: charge-state diffusion due to atomic processes in tokamak plasmas

A new interpretation of anomalous impurity transport in tokamak plasmas is presented. An alternative (compared with conventional) approach reveals the relative importance of the transport of impurity particles and the diffusion of impurity charge states due to ionization and recombination processes. The set of coupled transport equations is reduced to a novel kinetic equation which is analysed in terms of charge-state transport including both the transport of particles and charge-state diffusion due to atomic processes. From the analysis of this equation and from available spectroscopic data the relationship between diffusion coefficients of these types of transport is found. It is concluded that charge-state diffusion exceeds the radial diffusion of particles significantly. Hence, the conventional empirical coefficients of anomalous diffusion DA and convective velocity VA mainly model charge-state diffusion rather than radial transport of impurity particles. A simple model is developed to describe the diffusion of impurity charge states with ionization rates enhanced by non-thermal effects of electron energy distribution and with recombination rates dominated by charge exchange of impurities on hydrogen atoms. The model is tested by comparing the simulated and measured radial profiles of line emission from oxygen, scandium and iron impurities taken from the TFR and PLT tokamaks. The radial profiles of neutrals and of superthermal electrons are obtained by modelling of spectroscopic data instead of the conventional empirical coefficients DA and VA.
Dislocations in Indented Magnesium Oxide Crystals

Dislocation rosette patterns produced by spherical and pyramidal indentors on the cleaved surfaces of magnesium oxide crystals were studied in detail. The three‐dimensional arrangement of dislocation loops as deduced from the two‐dimensional etching patterns is discussed. Cracks formed on {110}90 planes around pyramidal indentations are believed to be due to the interaction of dislocations on {110}45 planes. The temperature dependence of hardness was found to be related to the widening of dislocation bands, rather than to the distance of travel of leading dislocations. Some observations were also made on the pinning of dislocations and recovery at elevated temperatures, and on the interaction of dislocations with grown‐in subboundaries.
Optimal Recursive Estimation of Dynamic Models

Abstract This article checks, using both real and simulated data, the effectiveness of modern adaptive techniques to track the parameters of time-varying dynamic models. The real case studies concern a bone marrow transplant data set published by Tong, the gas furnace model of Box and Jenkins, and two series of West German interest rates. Simulation studies focus on ARX models with smoothly and suddenly changing parameters. The general approach is to compare the fitting-forecasting performance of classical and adaptive methods, holding fixed the order of the models. At the methodological level, the basic step is taken by unifying known estimators, such as recursive least squares and Kalman filter, into a general algorithm. Next, the problem of optimal design of the tracking coefficients (such as discounting factors and learning rates), is solved by optimizing a quadratic functional based on one-step-ahead prediction errors. All applications show that adaptive modeling, based on the design and the optimiza.
Multidimensional Analysis of the Large-Scale Segregation of Luminosity

The multidimensional or multifractal formalism has been applied to analyze the CfA catalog. The spectrum of scaling indices and the generalized dimensions D(q) have been found to be scale-invariant in certain scaling regions. This invariance means that the multidimensional formalism is a good tool to characterize galaxy distributions. By means of this formalism it has been found that CfA galaxies brighter than about M(c) = -20(H0 = 100 km/s/Mpc) are most clustered than fainter galaxies. 42 refs.
Schoology-based e-learning: The impact on concepts understanding and mathematical communication abilities

The purpose of this study (1) To find out the effect of schoology-based e-learning media on concepts understanding and mathematical communication abilities. (2) Knowing the effect of schoology-based e-learning media on the ability to understand concepts. (3) Knowing the effect of schoology-based e-learning media on mathematical communication ability. The study used a quasi-experimental design with Posttest-OnlyControlDesign. Random sampling technique with a population of 259 students of class X MAN 1 East Lampung. The sample of the experimental class is 30 students, and the control class is 30. Collecting data in the form of tests, interviews, and documentation. The data analysis technique used is One-way Multivariate Analysis of Variance test with a significance level of 5%. The result of the study is (1) There is an effect of schoology-based e-learning media on concepts understanding and mathematical communication abilities, the F value is 3,821 with a significance of 0,042. (2)There is an effect of schoology-based e-learning media on the ability to understand concepts with an F value of 126.761. (3) There is an effect of schoology-based e-learning media on mathematical communication ability with an F values of 19.532. it can be concluded that schoology-based e-learning media is effective in increasing the concepts understanding and mathematical communication abilities. However, in this study, it has not emerged what learning model is used in applying the schoology media. Hence, when measuring mathematical communication ability, students only measure in the form of written communication (answers to description questions). Further research can be done by showing the use of appropriate learning models for schoology media. Also, the measurement of mathematical communication ability must also be considered in other forms, namely during discussion forums in schoology
ORTHOGONAL DISTANCE FROM AN ELLIPSOID

Finding the orthogonal (shortest) distance to an ellipsoid corresponds to the ellipsoidal height in Geodesy. Despite that the commonly used Earth reference systems, like WGS-84, are based on rotational ellipsoids, there have also been over the course of the years permanent scientific investigations undertaken into different aspects of the triaxial ellipsoid. Geodetic research has traditionally been motivated by the need to approximate closer and closer the physical reality. Several investigations have shown that the earth is approximated better by a triaxial ellipsoid rather than a rotational one Bursa and Sima (1980). The problem of finding the shortest distance is encountered frequently in the Cartesian- Geodetic coordinate transformation, optimization problem, fitting ellipsoid, image processing, face recognition, computer games, and so on. We have chosen a triaxial ellipsoid for the reason that it possesess a general surface. Thus, the minimum distance from rotational ellipsoid and sphere is found with the same algorithm. This study deals with the computation of the shortest distance from a point to a triaxial ellipsoid.