Miracle-dz/UniFAR-FTUs huggingface dataset:
Strain-tuning of the magnetocaloric transition temperature in model FeRh films

The chemically ordered B2 phase of equiatomic FeRh is known to absorb or evolve a significant latent heat as it traverses its first-order phase transition in response to thermal, magnetic, and mechanical drivers. This attribute makes FeRh an ideal magnetocaloric material testbed for investigation of relationships between the crystalline lattice and the magnetic spins, which are especially experimentally accessible in thin films. In this work, epitaxial FeRh films of nominal 30 nm and 50 nm thicknesses with out-of-plane c-axis orientation were sputter-deposited at high temperature onto (0 0 1)-MgO or (0 0 0 1)-Al2O3 substrates and capped with Al, Au, Cr, or W after in situ annealing at 973 K to promote CsCl-type chemical order. In this manner a controlled strain state was invoked. Experimental results derived from laboratory and synchrotron x-ray diffraction combined with magnetometry indicate that the antiferromagnetic (AF)—ferromagnetic (FM) magnetostructural phase transformation in these films may be tuned over an ~50° range (373 K–425 K) through variation in the c/a ratio derived from lattice strain delivered by the substrate and the capping layers. These results supply fundamental information that might be used to engineer the magnetocaloric working material in new system designs by introducing targeted values of passive strain to the system.
The Role and Importance of Physical Exercise on the Aggression Level of High School Students

Introduction. The phenomenon of bullying is increasingly widespread among students and at the national level, all kinds of techniques and activities are being tried to combat it. Methods. In the present study, we aimed to measure the level of aggression among secondary school students, who participated in a Physical Education and Sports Program, held over a period of 6 months, with a frequency of 8 times/month. A number of 36 students, at the secondary school level, aged between 11- 15 years, from the rural environment, from the South-West Region of Oltenia, all enrolled in the same school, took part in this experiment. As a tool, the Aggression Questionnaire (AQ) was applied, with 4 scales: Physical Aggression, Verbal Aggression, Anger, and Hostility. Aggression was measured both before and after participation in the sports training program. Results. The results indicated a lower level of aggression at the end of the program, compared to the level present in the students, before following the sports training. Conclusions. Thus, physical and sports education can be an optimal means of controlling aggression and a catalyst for it in positive aspects and behaviors.
New turbulent resistance parameterization for soil evaporation based on a pore‐scale model: Impact on surface fluxes in CABLE

The Community Atmosphere Biosphere Land Exchange (CABLE) land surface model overestimates evapotranspiration (E) at numerous flux tower sites during boreal spring. The overestimation of E is not eliminated when the nonlinear dependence of soil evaporation on soil moisture or a simple litter layer is introduced into the model. New resistance terms, previously developed from a pore‐scale model of soil evaporation, are incorporated into the treatment of under canopy water vapor transfer in CABLE. The new resistance terms reduce the large positive bias in spring time E at multiple flux tower sites and also improve the simulation of daily sensible heat flux. The reduction in the spring E bias allows the soil to retain water into the summer, improving the seasonality of E. The simulation of daily E is largely insensitive to the details of the implementation of the pore model resistance scheme. The more physically based treatment of soil evaporation presented here eliminates the need for empirical functions that reduce evaporation as a function of soil moisture that are included in many land surface models.
Centralization, Elite Capture, and Service Provision: Evidence From Taiwan

Much recent work has debated the effect of decentralization on service provision, its underlying mechanisms, and the tradeoff between responsiveness and elite capture. This study contributes to that debate by investigating a rare partial rollout of institutional change that reversed administrative, fiscal, and political decentralization in Taiwan. Utilizing a difference-in-differences design, I find that centralization decreases public goods provision and that such a negative effect is stronger and more robust on those public goods that involve greater local government activity. Additional evidence related to mechanisms suggests that the loss of proximity and accountability in service delivery after centralization can be critical. The effect heterogeneity results do not constitute strong evidence that centralization significantly improves service provision in areas with higher levels of local elite capture. These findings highlight the importance of decentralization’s responsiveness advantages in improving local service provision and advance the policy debate on local institutional choice.
The forward testing effect after a 1‐day delay across dissimilar video lessons

Being tested on previously learned material has been shown to enhance the learning of subsequently encountered material (i.e., the forward testing effect). Some cognitive theories predict that the magnitude of the forward testing effect is not dependent on the content in the previously learned and to-be-learned material (content-general theories), while other theories predict that it does depends on the similarity (content-specific theories). To adjudicate between these broad theories, participants viewed one of four lessons that were similar or dissimilar on two dimensions, academic domain and presentation structure, relative to a second lesson. After the first lesson, participants were either tested or restudied the material. Then they viewed the second lesson and were tested on the material. Results showed an overall forward testing effect across all four lessons, and the magnitude of the effect was not significantly different between the lessons, providing support for content-general theories of the forward testing effect.
Analysis of Organizational Justice, Competence and Work Motivation to Improve the Performance

This study examined the influence of organizational justice, competence, and work motivation on the performance of Denpasar city government. The results indicated that organizational justice, competence, and work motivation had positive and significant effects on employee performance. When employees perceive fairness and justice within the organization, possess the necessary competencies, and are motivated to excel in their work, it positively impacts their performance. The combined influence of these variables accounted for 60.4% of the variance in employee performance, indicating a relatively strong relationship. Based on the findings, it is recommended that Government Office focus on promoting fairness and justice, developing employee competencies, and sustaining motivation to enhance performance. Implementing policies and practices that ensure fairness, providing training and development opportunities, and fostering a supportive work environment can lead to a productive and satisfied workforce, resulting in improved performance outcomes and better service delivery to the community. However, it is essential to consider other factors that may also influence employee performance but were not included in this study.
The scale dependence of initial‐condition sensitivities in simulations of convective systems over the southeastern United States

The sensitivity of ensemble simulations of deep convective events in the southeastern United States to initial‐condition (IC) errors is examined by imposing idealized moisture perturbations at small and large scales. Four severe weather events are considered, ranging from a springtime frontal system to convection driven almost exclusively by daytime heating. Events with strong synoptic‐scale forcing were insensitive to the scale of IC errors, but weakly forced events exhibited greater sensitivity to small‐scale than large‐scale IC errors. Additional ensemble simulations of idealized convective systems suggest that the greater sensitivity to small‐scale IC errors of the weakly forced cases arises from their higher sensitivity to the strength and location of the first convective elements. Ensemble spread and predictability are characterized by two measures: the ratio of the perturbation kinetic energy (KE) about the ensemble mean to the background KE and the neighborhood‐based fractions skill score (FSS) of hourly precipitation with respect to that in an unperturbed reference simulation. For simulations of both observed events and idealized convective systems, the FSS appears to be a more discriminating indicator of differences in predictability between different convective events.
Integrated Spatio-Spectral–Temporal Fusion via Anisotropic Sparsity Constrained Low-Rank Tensor Approximation

Although spatio-spectral and spatio-temporal fusion has been well explored, few efforts are made on integrating spatio-spectral–temporal features. As an intrinsic prior, low tensor rank has been successfully taken into effect by current fusion models, most of which, however, resort to establishing an overall low-rank norm without performing factorization techniques and thus have trouble capturing the latent high-order structure of hyperspectral data cube. To address that, a novel anisotropic sparsity (AS) tensor norm is developed to make the rank minimization a learnable process under the Tucker decomposition. The AS norm enables the model to minimize the multilinear tensor ranks if imposed on the core tensor after factorization; hence, it significantly improves the model’s fusion performance. In the temporal domain, a Hadamard-product-based variability descriptor is incorporated into the fusion model to map the former information to the current time. In addition, piecewise smooth prior of the Tucker factors is employed by extra regularizers as supplement to the loss of spatial information. With the proximal differential matrix being developed for optimization, the proposed method reaches state-of-the-art results on both spatio-spectral and spatio-spectral–temporal fusion at a low computational cost.
Soybean performance in succession to the intercropping of corn with marandu grass and pigeonpea in an integrated agricultural production system

Integrated agricultural production systems have been improved with the introduction of Urochloa grasses aiming at obtaining straw for a no-tillage system (NTS) and the increase of legumes, which promote physicochemical improvements in soils and guarantee intensification and sustainability of production. This study aimed to evaluate the agronomic traits and yield of soybean in succession to the intercropping of corn with marandu grass and/or pigeonpea in five populations of plants harvested for silage production. The experiment was carried out in the Cerrado region of Selvíria, MS, Brazil, during the 2016/17 and 2017/18 agricultural years, in an Oxisol. The experimental design consisted of randomized blocks, with four replications. The treatments were arranged in a 2×5 factorial scheme, consisting of off-season corn intercropped with pigeonpea ( Cajanus cajan (L.) Millsp. ) and off-season corn intercropped with marandu grass ( Urochloa brizantha ) and pigeonpea, in addition to five sowing densities (0, 6, 12, 18, and 24 seeds m −1 ). Soybean was planted in succession aiming to evaluate the effect of remaining straw on crop performance. Soybean grown in succession to the triple inter - cropping of corn with marandu and pigeon pea shows increased productivity.
Characteristic Analysis and Influence of Environmental Variability on Idealized Simulations for a Long-lived Bow Echo with High Percentage of Positive Cloud-to-Ground Lightning

On 5 June 2009, there was a high level cold vortex that was abnormally strong and stable during the month of June over the Northeast China (Fig. 1). Central of the east China region was behind a aloft trough. High level jets at the south-west part of the vortex brought strong cold advection that lowered down the freezing level and increased lapse rate (instability) and vertical wind shear. It is one of five synoptic conceptual models of severe convection in this region, with a dry and unstable environment (Sun et al., 2014).
Dual-energy Computed Tomography (DECT) Scan for Determination of Renal Stone Composition: A Phantom Study

Background: Dual-energy computed tomography (DECT) scan has been proposed as an effective modality for determining the chemical composition of renal stone subtypes. Objectives: This study aimed to evaluate and compare the efficacy of DECT in the identification of renal stone type and composition versus biochemical analysis as the gold standard. Materials and Methods: The type of 146 renal stones, removed from patients by surgery, was determined in a medical laboratory. The stones were then inserted into the kidney of an anthropomorphic Rando phantom, and DECT scans were acquired. The stone type, specified by the scanner software, was compared with the results of biochemical analysis as the gold standard. Results: The DECT scans showed acceptable accuracy in identifying the chemical composition of renal stone subtypes. Based on the comparison of biochemical analysis and DECT results, the accuracy values for cystine, uric acid, and calcium-oxalate stones were 97%, 100%, and 97%, respectively. Conclusion: Based on the present results, DECT could detect pure uric acid, cystine, and calcium-oxalate stone types with high sensitivity. However, for mixed stones, the stone type, directly identified by DECT scan, was not reliable.
Universal Growth Scheme for Quantum Dots with Low Fine-Structure Splitting at Various Emission Wavelengths

© 2017 American Physical Society. Efficient sources of individual pairs of entangled photons are required for quantum networks to operate using fiber-optic infrastructure. Entangled light can be generated by quantum dots (QDs) with naturally small fine-structure splitting (FSS) between exciton eigenstates. Moreover, QDs can be engineered to emit at standard telecom wavelengths. To achieve sufficient signal intensity for applications, QDs have been incorporated into one-dimensional optical microcavities. However, combining these properties in a single device has so far proved elusive. Here, we introduce a growth strategy to realize QDs with small FSS in the conventional telecom band, and within an optical cavity. Our approach employs ''droplet-epitaxy'' of InAs quantum dots on (001) substrates. We show the scheme improves the symmetry of the dots by 72%. Furthermore, our technique is universal, and produces low FSS QDs by molecular beam epitaxy on GaAs emitting at ∼900 nm, and metal-organic vapor-phase epitaxy on InP emitting at ∼1550 nm, with mean FSS 4× smaller than for Stranski-Krastanow QDs.
Integration of porous low-k dielectrics using post porosity pore protection

Post porosity pore protection is studied as a means for low damage integration of porous low-k dielectrics. Homogeneous low-k densification is achieved using poly(methyl methacrylate) (PMMA) as a sacrificial filler. The improvement in plasma-induced damage is investigated on a plasma-enhanced chemical vapor deposition 2.0 porous organo-silicate glass, including damage from radicals and vacuum ultraviolet photons. Open pores are sealed upon polymer protection; therefore the penetration of metal species during deposition of a metal diffusion barrier is avoided. Various solutions for post metallization polymer removal are investigated, such as hydrogen remote plasma and an ultraviolet cure. The PMMA removal process is studied in order to avoid Cu wire degradation. Finally, low-k damage and barrier continuity are investigated on patterned wafers with functional circuits. By means of transmission electron microscopy inspection and electrical measurement, effective integrated k-values are extracted, giving a value keff ~ 2.5–2.6 for the post metallization polymer removal option.
The Condition of Mycobacterium Tuberculosis Lineages and Resistances in Indonesia

Background: Tuberculosis is a disease caused by Mycobacterium tuberculosis. Indonesia ranks second worldwide in TB incidence in the country. Content: The spread of the disease is happening across Indonesia. Each area of Indonesia had different types of lineage M. tuberculosis and TB incidence number. Drug resistance is threatening to society and it needs full attention and immediate medication to control the disease. Therefore, this paper is composed of reviews from 10 journals that reported drug resistance TB in several different locations in Indonesia using different methods available. Conclusion: The number of TB cases and their lineages differ in each area in Indonesia, one of which is due to the availability of diagnostic tools and level of self-awareness in each area. There are reported findings of drug resistance TB in Indonesia that are concerning. Currently, many TB treatments are under development to produce the best therapy to treat the disease.
Difficulties in Emotion Regulation and Problematic Pornography Use: The Mediating Role of Loneliness

Abstract Objectives To analyze the association between difficulties in emotion regulation and problematic pornography use (PPU) and test the mediating effect of loneliness. Methods All 339 participants (M = 28.53 years, SD = 10.32) completed online self-report scales assessing difficulties in emotion regulation, PPU, and loneliness. Results Difficulties in emotion regulation are positively correlated with PPU. Loneliness partially mediates the relationship between difficulties in emotion regulation and PPU. Gender and intimate relationship status had moderating effects on the tested mediation model. Conclusions Greater difficulties in emotion regulation have a significant indirect effect on PPU through loneliness.
New Designs on MVDR Robust Adaptive Beamforming Based on Optimal Steering Vector Estimation

The robust adaptive beamforming design problem based on estimation of the signal-of-interest (SOI) steering vector is considered in the paper. The common criteria to find the best estimate of the steering vector are the beamformer output signal-to-noise-plus-interference ratio (SINR) and output power, while the constraints assume as little as possible prior inaccurate knowledge about the SOI, the propagation media, and the antenna array. Herein, in order to find the optimal steering vector, a beamformer output power maximization problem is formulated and solved subject to a double-sided norm perturbation constraint, a similarity constraint, and a quadratic constraint that guarantees that the direction-of-arrival (DOA) of the SOI is away from the DOA region of all linear combinations of the interference steering vectors. The prior knowledge required is some allowable error norm bounds and approximate knowledge of the antenna array geometry and angular sector of the SOI. It turns out that the array output power maximization problem is a non-convex quadratically constrained quadratic programming problem with inhomogeneous constraints. However, we show that the problem is still solvable, and develop efficient algorithms for finding globally optimal estimate of the SOI steering vector. The results are generalized to the case when an ellipsoidal constraint is considered instead of the similarity constraint, and sufficient conditions for the global optimality are derived. In addition, a new quadratic constraint on the actual signal steering vector is proposed in order to improve the array performance. To validate our results, simulation examples are presented, and they demonstrate the improved performance of the new robust beamformers in terms of the output SINR as well as the output power.
Analysis of Factors Affecting Inpatient Satisfaction at Vina Estetika General Hospital Medan

Measurement of health service user satisfaction is one indicator to determine the quality of health services. The purpose of the study was to analyze the factors that influence the satisfaction of inpatients at the Vina Estetica General Hospital. The research design was a cross sectional study, the sample was patients who were treated at the Vina Aesthetic Hospital Medan. The research variables were measured using a questionnaire prepared by the researcher and tested for validity and reliability. Analysis of multiple logistic regression test data. The results of the multiple linear regression equation research show that from these five independent variables, there is only one variable that has a positive effect on the dependent variable or patient satisfaction, namely the Physical Evidence variable (Tangibles) with a value of 0.165. Meanwhile, the other four independent variables have a negative effect on the patient satisfaction variable. The regression coefficient for each variable is -0.145 for the Empathy variable, -0.129 for the Reliability variable, then -0.028 for the Responsiveness variable. , and -0.266 for the assurance variable.
UNDERSTANDING FEMALE SEGMENTS BASED ON BENEFIT OF LOYALTY PROGRAM

Loyalty programs in banking need to look at the dynamics of female consumers, especially when digital businesses dominate marketing transactions. In the literature, segmentation studies are mostly carried out on retail services, airlines, and hotels, which are rare in banking, especially related to loyalty program services. Therefore, this study is expected to close the gap without a segmentation study in a banking context. This study aims to identify the female customer segment by assessing the bank's loyalty program and relating it to its perceived convenience, security, and reliability. The study employed the two most prominent banks in Indonesia, with 208 female customers as respondents. The purposive sampling method was used as a method of selecting samples. Data were reduced using factor analysis and categorized using cluster analysis. The main result identifies four factors underlying the benefits of loyalty programs: quality of communication, policy, rewards, and website quality. Three segments of loyalty program female consumers were identified: apathetic (25%), active (31%), and passive segments (44%). In further analysis, three segments of females were analyzed regarding the bank saving account's convenience, reliability, and security. Results confirm that all three segments were unique and distinguished one from another. This study's implication guides managing the types of female customers at the bank, especially loyalty programs.