Miracle-dz/UniFAR-FTUs huggingface dataset:
Factor Structure of the Intelligence and Development Scales–2: Measurement Invariance Across the Dutch and German Versions, Sex, and Age

We examined the factor structure of the intelligence and basic skills domains of the German and Dutch versions of an international test battery with 13 representative national standardizations (among others, Italian, Polish, U.K.)—the Intelligence and Development Scales–2 (IDS-2)—with confirmatory factor analyses (CFA) of the standardization samples. This included measurement invariance analyses across the Dutch and German versions and sex using multiple-group CFA, and across age using local structural equation modeling (LSEM). We tested several a priori theoretically (mostly following the Cattell–Horn–Carroll and verbal–perceptual–image rotation models) and empirically (with EFA) determined models and found a second-order model with six first-order factors best represented the Dutch IDS-2 structure. Five IDS-2 factors were confirmed, but Visual Processing and Abstract Reasoning and the intelligence and basic skills domains were not separable. This final model displayed full invariance across the Dutch and German versions and partial scalar invariance across sex, and it was largely invariant across ages 7 to 20 years. Thus, scores derived according to this final model will be comparable across these language versions, sex, and age. The strong general intelligence factor and weak broad ability factors suggest clinical interpretation should mainly be based on the full-scale IQ. We discuss the importance of testing multiple plausible models and adhering to a strict model selection procedure in CFA and implications for intelligence theory and clinical practice.
CO-TRAINING RANKING SVM FOR VISUAL TRACKING

Online learned tracking is widely used to handle the appearance changes of object because of its adaptive ability. Learning to rank technique has attracted much attention recently in visual tracking. But the tracking method with online learning to rank suffers from the error accumulation problem during the self-training process. To solve this problem, we propose an online learning to rank algorithm in the co-training framework for robust visual tracking. A co-training algorithm combined with ranking SVM collects features and unlabeled data for training. Two ranking SVMs are built with different types of features accordingly and dynamically fused into a semisupervised learning process. This semi-supervised learning approach is updated online to resist the occlusion and adapt to the changes of object’s appearance. Many experiments on challenging sequences have shown that the proposed algorithm is more effective than the state-of-the-art methods.
Approximation of the Mumford–Shah functional by phase fields of bounded variation

In this paper, we introduce a new phase field approximation of the Mumford–Shah functional similar to the well-known one from Ambrosio and Tortorelli. However, in our setting the phase field is allowed to be a function of bounded variation, instead of an [Formula: see text]-function. In the context of image segmentation, we also show how this new approximation can be used for numerical computations, which contains a total variation minimization of the phase field variable, as it appears in many problems of image processing. A comparison to the classical Ambrosio–Tortorelli approximation, where the phase field is an [Formula: see text]-function, shows that the new model leads to sharper phase fields.
Modelling flood events using high resolution digital elevation models and considering the sediment interaction with constructions in floodplains

The main objective of the present paper is a description of two effective numerical 2D models to be used as strategic tools in the process of flood risks assessment and mitigation. The first one is a model for hydrodynamics simplified according to the diffusive assumption while the second one is a complete model based on the shallow water equations. Each of them is solved with an efficient numerical technique (including implicit time integration schemes and GMRES linear solvers) maximizing the convergence rate towards a steady state. A practical case study, for which a high resolution Digital Elevation Model exists, will be presented. The study shows the consequences on structures of a new construction in the floodplain in terms of inundation and erosion.
Chitosan-Capped Au Nanoparticles for Laser Photothermal Ablation Therapy: UV-Vis Characterization and Optothermal Performances

We have reported on the synthesis and characterization of near-infrared- (NIR-) absorbing colloidal nanoparticles prepared by exploiting the one-step reaction of HAuCl4 and Na2S2O3, followed by their stabilization with chitosan. This reaction also produces a big amount of unwanted nanoparticles detuned with respect to the NIR spectral region. For this reason, it is usually assumed that the product has to be filtered and enriched to enhance its NIR absorption, and the possible exploitation of the simpler raw product has never been worthy to be considered. Aiming to investigate this missing aspect, we chose to avoid the purification steps and rather focused on the preparation of the unrefined colloid, identifying the synthesis conditions that maximize its NIR absorbance and, subsequently, testing it as an optothermal transducer by measuring its molar heating rate (MHR). As expected, we found that the performances of the raw colloid are indeed lower than those of its refined version, but only to a limited extent. Moreover, MHR is unexpectedly higher than that deducible for other classical NIR-absorbing nanoparticles, like Au nanorods or Au nanostars. Thus, the product of the simpler preparation protocol appears as a competitive trade-off solution between easy manufacturing and optothermal performances.
NUMBER 1 JULY , 1962 THEORY OF FLUCTUATIONS OF THE PARTICLE DISTRIBUTIONS IN A PLASMA

We obtain expressions for the correlations in the phase densities in different points in phase space and at different times for a non-equilibrium plasma. We use the general formulae to obtain expressions for the field correlations, the charge density, the particle-distribution correlations, and the charge-density correlations. We consider the case where the plasma is in a constant uniform magnetic field.
Pengembangan Media Pembelajaran Multimedia Interaktif dengan Model Hannafin and Peck pada Muatan IPA Kelas IV

Kurangnya media pembelajaran sehingga siswa kurang mampu memahami materi pembelajaran secara maksimal. Penelitian ini bertujuan untuk mengambarkan rancang bangun dan validitas pengembangan media pembelajaran multimedia interaktif pada kelas IV SD muatan. Penelitian ini dikembangkan menggunakan model pengembangan Hannafin and Peck yang meliputi tiga tahapan, yaitu (a) penilaian kebutuhan, (b) desain/perancangan, (c) pengembangan dan implementasi. Subjek penelitian berjumlah 9 orang peserta didik kelas IV. Metode pengumpulan data yang digunakan adalah observasi, wawancara, dan angket. Instrumen penelitian terdiri dari lembar angket penilaian produk. Teknik analisis data yaitu analisis deskriptif kualitatif dan deskriptif kuantitatif. Tahap pengujian kelayakan media ini dilakukan dengan cara validasi produk oleh pakar. Hasil penelitian menunjukkan bahwa nilai validitas produk dengan kategori sangat baik dengan: (a) Hasil review ahli isi mata pelajaran menunjukkan hasil sangat baik (92,8%), (b) Hasil review ahli desain pembelajaran dengan hasil sangat baik (92,8%), (c) Hasil review ahli media pembelajaran menunjukkan hasil sangat baik (93,1%), (d) Hasil uji coba perorangan sangat baik (94,2%), hasil uji coba kelompok kecil dengan hasil baik (89,75%). Implikasi penelitian ini dapat mrmbuat siswa menjadi tertarik dengan materi yang diberikan. Berdasarkan hasil yang diperoleh dapat disimpulkan bahwa media pembelajaran multimedia interaktif ini sangat baik digunakan dalam proses pembelajaran.
EFFECT OF SELENIUM ON THE BIOCHEMISTRY OF ZEA MAYS UNDER SALT STRESS

It is well known that salinity badly effect plant growth all over the world and greatly reduces crop production in the affected regions. Selenium functions as antioxidant in plants and in low concentration it also promotes plant growth and produce tolerance against stress. The present study was designed to check the effect of salt and selenium on the biochemistry of Zea mays like chlorophyll a, chlorophyll b, carotenoids, carbohydrates, reducing sugars, non-reducing sugars, total antioxidants, flavonoids, total phenols and proteins. Zea mays was grown in pots and maize plants were irrigated with different concentration of NaCl (0, 40 mM and 80 mM). Different concentrations of selenium (0, 5 mM, 10 mM and 15 mM) were applied foliarly after one month of germination. An increase in salt concentration considerably decrease the chlorophyll a, chlorophyll b and carotenoids, reducing sugars, non-reducing sugars, carbohydrates, and total proteins while flavonoids, phenols and total antioxidants showed significant increase with elevated salt concentration. Foliar application of different concentrations of selenium showed an increase in total proteins, reducing sugars, non-reducing sugars, phenols and flavonoids under saline as well as non-saline conditions. It is concluded from this project that salt has an inhibitory effect on the biochemistry of Zea mays as photosynthetic pigments, carbohydrates, proteins, reducing sugars, non-reducing sugars showed a decline under salt stress, while total antioxidants phenols and flavonoids showed an increase under salt stress. After the application of selenium spray, the proteins, reducing sugars, non-reducing sugars, phenols and flavonoids showed an increase under both (saline and nonsaline) conditions. It is suggested that selenium should applied at 10 mM as it showed better performance on different biochemical attributes in both saline and non-saline conditions.
Simulation of Freight Trains Equipped with Partially Filled Tank Containers and Related Resonance Phenomenon

Abstract To study the fluid motion-vehicle dynamics interaction, a model of four, liquid filled two-axle container freight wagons was set up. The railway vehicle has been modelled as a multi-body system (MBS). To include fluid sloshing, an equivalent mechanical model has been developed and incorporated. The influence of several factors has been studied in computer simulations, such as track defects, curve negotiation, train velocity, wheel wear, liquid and solid wagonload, and container baffles. SIMPACK has been used for MBS analysis, and ANSYS for liquid sloshing modelling and equivalent mechanical systems validation. Acceleration and braking manoeuvres of the freight train set the liquid cargo into motion. This longitudinal sloshing motion of the fluid cargo inside the tanks initiated a swinging motion of some components of the coupling gear. The coupling gear consists of UIC standard traction hooks and coupling screws that are located between buffers. One of the coupling screws is placed in the traction hook of the opposite wagon thus joining the two wagons, whereas the unused coupling screw rests on a hanger. Simulation results showed that, for certain combinations of type of liquid, filling level and container dimensions, the liquid cargo could provoke an undesirable, although not hazardous, release of the unused coupling screw from its hanger. The coupling screw's release was especially obtained when a period of acceleration was followed by an abrupt braking manoeuvre at 1 m/s2. It was shown that a resonance effect between the liquid's oscillation and the coupling screw's rotary motion could be the reason for the coupling screw's undesired release. Possible solutions to avoid the phenomenon are given.
Modelling and Simulation of Photovoltaic Full Cell Hybrid System

A hybrid system also called as standalone system supplies electricity to the load without being connected to the electric grid. Hybrid systems have applications in remote and inaccessible areas where the population is living without electricity. In remote and rural areas the grid connection is not technical feasible and also a cost effective option. Therefore, hybrid systems are well suited for such areas. The purpose of this thesis is to model and simulate the different components of a PVFC hybrid system which may fulfill the electric demands for remote and rural areas. Therefore, here a photovoltaic generator and a fuel cell are connected to the load to fulfill the electrical demands to these areas. This hybrid system consists of a photovoltaic generator and a proton exchange membrane fuel cell (PEMFC) coupled together to form a hybrid system which is connected to the load or grid as per the user demand. A simulation software program known as Matlab has been used to simulate the system performance. The system design and performance analysis could thus be achieved through computer modeling and simulation prior to practical realization. Keywords— Dynamic model; Fuel cell; Photovoltaic module; Hybrid system
Spacecraft Observations of the Martian Atmosphere

Recent spacecraft observations of the Martian atmosphere show that the current climate has a distinct and generally repeatable pattern of seasonal and spatial variations. The half of the year that Mars is closest to the Sun is characterized by warm, dusty conditions, whereas the opposite season is relatively cool, free of dust, and dominated by a low-latitude band of water ice clouds. Water vapor is most abundant at high latitudes in the summertime of both hemispheres, whereas a polar hood of clouds forms over the winter polar region. The greatest year-to-year variations are caused by intermittent large dust storms, which also affect atmospheric temperature and circulation patterns on a global scale.
Variability in spectropolarimetric properties of Sy 1.5 galaxy Mrk 6

Here we present an analysis of spectro-polarimetric observations of type 1.5 AGN Mrk 6, performed with 6m telescope SAO RAN in 12 epochs (2010 -- 2013). Additionally, the inter-stellar mater (ISM) polarization has been observed and its contribution to the AGN spectral polarization is taken into account. We measured Stokes parameters and determined the polarization parameters in 12 spectra with and without correction for the ISM polarization. We estimated the time lag between the unpolarized and polarized continuum flux variation of about ~2 days, that indicates a compact scattering region which contributes to the polarized continuum variability. The polarization in H{\alpha} is complex, showing three prominent components in the BLR, one redshifted around +3000 km/s that corresponds to the red shoulder in H{\alpha}, and two blue-shifted around -2000 km/s and -6000 km/s. We found that the ISM polarization has a very significant influence on the measured AGN polarization parameters. After correcting the observations for the ISM polarization we were able to detect the Keplerian motion in the BLR. We give a new method for the black hole mass estimation using spectro-polarimetric observation in the line profile, finding the black hole mass in Mrk 6 of $M_{BH} \sim 1.53 \cdot 10^8 M_{\odot}$, that is in a good agreement with reverberation estimates.
Joint IT-Facility Optimization for Green Data Centers via Deep Reinforcement Learning

The data center market grows rapidly with the increase of data and its corresponding applications (e.g., machine learning, cloud storage, Internet of Things, and so on). The growth is boosted recently due to the shift of activities online during the COVID-19 pandemic. Reducing the energy consumption of data centers faces various challenges that are further aggravated by the tropical conditions with high temperature and humidity in the tropics like Singapore. The prevailing siloed approach of operating the information technology (IT) and the facility systems separately has resulted in wasteful over-provisioning. The recently proposed approaches for energy usage minimization under various constraints including thermal safety scale poorly with the data center size and often result in non-optimal solutions. To advance the state of the art, we apply deep reinforcement learning (DRL) to address the scalability problem and achieve optimality over a long time horizon in reducing data center energy usage. In particular, we deploy the data-driven deep model and physical rule based model in lieu of the physical data center during the training and validation phases to manage the thermal safety risks caused by DRL's strategy of learning from errors.
Explaining Depression among Clinically Depressed and Nondiagnosed Hispanic Women.

Variables such as low socioeconomic level, educational level, marital status, employment status, sex role orientation, and level of acculturation have been cited as contributing to depression among Hispanic '4omen. While most of these conclusions have been based on between-group comparisons against Anglo women, this study was conducted to examine within-group differences on depression, while controlling for ethnicity and gender. Relationship status, acculturation, domestic or work orientation, and degree of traditionality/nontraditionality with regard to sex-role orientation of women were explored in relationship to depressive symptomatology in two groups of Mexican American women: a clinically diagnosed depressed group (N=23) and a nondiagnosed group (N=46). Subjects completed either English or Spanish versions of the Center for Epidemiologic Studies Depression Scale, the Attitudes toward Women Scale, the Acculturation Rating Scale for Mexican-Americans, and a demographic questionnaire. The combined variables of degree of sex-role orientation, relationship status, and domestic/career orientation accounted for 33% of the variance in depressive symptomatology for the total sample. For the nondiagnosed group, attitudes toward women explained most of the variance while none of the variance was significantly explainel for the depressed group. The results suggest that degree of sex role orientation may account for depressive symptomatology in Hispanic women not diagnosed for depression, but is insufficient in explaining depressive symptomatology in clinically depressed Hispanic women. (NB) *********************************************************************** Reproductions supplied by EDRS are the best that can be made from the original document. *********************************************************************** Explaining Depression Explaining Depression Among Clinically Depressed and Nondiagnosed Hispanic Women Bianca L. Bernstein, Ph.D. Ester R. Rodriguez, M.S. Alberta M. Gloria, M.S. Counseling Psychology Program Arizona State University Peter Orlando, Ph.D. Isaac School District U S. DEPAHTMENT OF EDUCATION Office of Edui.ationat Fteszmrch And Improvemenl EDUCATIONAL RESOURCES INFORMATION CENTER IERIC) This document has been reproduced AS received from the person or organization originating it f Minor chimps have been made to improve reproducion Quality Poinls of slew or opinions stated in IMS docu menl do nol necessarily represent official OERI position or policy "PERMISSION TO REPRODUCE THIS MATERIAL HAS BEEN GRANTED BY JarnQ gerp5i_ezil TO THE EDUCATIONAL RESOURCES INFORMATION CENTER (ERIC). " Paper presented at the Annual Meeting of the American Psychological Association San Francisco, August 1991 PLEASE DO NOT DUPLICATE, QUOTE OR DISTRIBUTE. 2 BEST COPY Aff ! LAKE 1 Explaining Depression
Imitation Refinement for X-ray Diffraction Signal Processing

Many real-world tasks involve identifying signals from data satisfying background or prior knowledge. In domains like materials discovery, due to the flaws and biases in raw experimental data, the identification of X-ray diffraction (XRD) signals often requires significant (manual) expert work to find refined signals that are similar to the ideal theoretical ones. Automatically refining the raw XRD signals utilizing simulated theoretical data is thus desirable. We propose imitation refinement, a novel approach to refine imperfect input signals, guided by a pre-trained classifier incorporating prior knowledge from simulated theoretical data, such that the refined signals imitate the ideal ones. The classifier is trained on the ideal simulated data to classify signals and learns an embedding space where each class is represented by a prototype. The refiner learns to refine the imperfect signals with small modifications, such that their embeddings are closer to the corresponding prototypes. We show that the refiner can be trained in both supervised and unsupervised fashions. We further illustrate the effectiveness of the proposed approach both qualitatively and quantitatively in an X-ray diffraction signal refinement task in materials discovery.
The Prediction of Earnings Movements Using Accounting Data: Using XBRL

The usefulness of accounting information as a basis for a profitable investment strategy is an important issue. The objective of this study is to repeat the original Ou et al. study using the XBRL database, standardized financial reporting system required by the SEC. The study analyzes XBRL quarterly data, from the first quarter of 2011 to the fourth quarter of 2015, using a two-step Logit regression model to determine the variables to be included in the prediction model. The prediction model was then used to arrive at the probability of the directional movement of earnings between the current quarter and the subsequent quarter. The results of the final models' indicated a significant ability to predict subsequent earnings changes. The predictions appear to be correct on average about 72.4% of the time. However, these forecasts were not able to provide a basis for a profitable investment strategy.
Cytoskeletal Proteins at the Lipid Membrane

The interface at the cell membrane and cytosol offers a wealth of possibilities for intermolecular interactions. Molecular anchors, -bridges, -transmembrane connectors as well as cascades of proteins inside the cell regulate the bidirectional exchange of Corresponding author. Tel: +49 (0)9131-85-25605; Fax: +49 (0)9131-85-25601 E-mail address: wgoldmann@biomed.uni-erlangen.de (W.H. Goldmann). 1 Massachusetts General Hospital, Harvard Medical School, Charlestown, MA 02129, USA 2 Center for Medical Physics and Technology, Biophysics Group, Friedrich-Alexander-University of Erlangen-Nuremberg, Henkestrasse 91, 91052 Erlangen, Germany 3 Université Louis Pasteur Strasbourg, CNRS, Institut de Chimie, UMR 7177-LC3, 4, rue Blaise Pascal, 67070 Strasbourg, France 4 Department of Chemical Engineering, University of Florida, Museum Road, Bldg. 723, Gainesville, FL 32611, USA Advances in Planar Lipid Bilayers and Liposomes, Volume 6 r 2008 Elsevier Inc. ISSN 1554-4516, DOI 10.1016/S1554-4516(07)06008-5 All rights reserved.