Miracle-dz/UniFAR-FTUs huggingface dataset:
Simulations of condensation flows induced by reflection of weak shocks from liquid surfaces

The condensation of a vapor onto a planar liquid surface, caused by the reflection of a weak shock wave, is studied by three different simulation method. The first one is based on molecular dynamics (MD) simulations of the Lennard-Jones fluid which are supposed to provide reference solutions. The second method is based on a Diffuse Interface Model (DIM), consistent with the thermodynamic properties of the Lennard-Jones fluid as well as with its transport properties. The third method is based on a hybrid model (HM) in which the liquid is described by a purely hydrodynamic approach, whereas the vapor is described by the Boltzmann equation. The two phases are connected by kinetic boundary conditions. The results show that DIM fails to accurately predict the condensation rate when the vapor is dilute but becomes more accurate when the vapor phase gets denser. HM reproduces MD simulations of nearly ideal vapor condensations with good accuracy, assuming unit condensation coefficient.
Digital Twin-Assisted Real-Time Traffic Data Prediction Method for 5G-Enabled Internet of Vehicles

The development of Internet of Vehicles (IoV) has produced a considerable amount of real-time traffic data. These traffic data constitute a kind of digital twin that connects the physical vehicles and their virtual representation via 5G communications. Generally, through analyzing the digital twin traffic data, traffic administrators can optimize traffic scheduling and alleviate traffic jams. However, the exceptions of IoV sensors inevitably raise an issue of traffic data sparsity and consequently influence scientific traffic scheduling decisions. Inspired by this drawback, in this article, a digital twin-assisted real-time traffic data prediction method is proposed by analyzing the traffic flow and velocity data monitored by IoV sensors and transmitted through 5G. At last, we conduct a set of experiments based on a traffic dataset collected by Nanjing city of China. Reported results show the feasibility of our proposal in smart traffic flow and velocity prediction that call for a quick response and high accuracy.
A Computational Approach towards Targeting Parkinsonandrsquo;s Disease: The Discovery of Potential Inhibitors against Alpha-Synuclein and Pten-Induced Putative Kinase 1 Protein

Parkinson’s disease (PD) is the second most common age-related neurodegenerative disease caused by the degeneration of dopaminergic neurons of the substantia nigra pars compacta (SNpc), which influences the basal ganglia network that results in a host of the motor and cognitive deficits. The autosomal dominant and recessive form of Parkinson’s disease caused by the abnormal aggregation of Alpha-synuclein and PTEN- induced putative kinase 1 protein. The present study focuses on developing lead compounds and antibody mimetic oligopeptides for inhibiting PD targets such as SNCA and PINK1. Virtual screening and docking were performed to find the best lead compounds further the docked complex were subjected to a molecular dynamics approach to predict the stability and the lowest conformation energy of the compounds. Nearly 5780 Similar compounds of carbidopa/levodopa are used to predict the potential lead molecules inhibiting the target proteins. Four potential lead compounds selected from a total of 1865 compounds based on their drug likeness properties and docking score. Biological activity prediction and statistical analysis were used for validating the inhibition of lead molecules against target protein.
Modeling Stray Field Distribution Generated by Domain Walls in Rare-Earth Substituted Iron Garnets

Rare-earth substituted iron garnets (REIGs) are interesting materials which may present large in-plane magnetization. In correspondence of defects, domain walls (DWs) undergo nucleation, segmentation, and pinning. In such cases, the Néel spike domain structure may appear, and its DWs can produce not negligible stray fields above the REIG. Experimental characterization through quantitative magneto-optical imaging with an indicator film showed that stray fields are detectable above the surface of Lu and Bi substituted iron garnets in correspondence of DWs delimiting a Néel spike that is generated by a microcrack. These DWs are interesting for both fundamental studies and innovative applications, and therefore carrying out a quantitative analysis is crucial. To understand how the externally detected stray fields are correlated with the pattern of the internal magnetization, here we propose 2-D and 3-D models based on FEM developed through the COMSOL Multiphysics software. These models consider the in-plane magnetization of the REIG and the magnetic microstructure of the Néel spike. They provide a good reproduction of the magnetic fields and allow describing the corresponding magnetic microstructure. It turns out that the results are both in agreement with the experiments.
Self-control: An integrative framework

Research on self-control has flourished within the last two decades, with researchers trying to answer one of the most fundamental questions regarding human behaviour – how do we successfully regulate desires in the pursuit of long-term goals? While recent research has focused on different strategies to enhance self-control success, we still know very little about how strategies are implemented or where the need for self-control comes from in the first place. Drawing from parallel fields (e.g., emotion regulation, health) and other theories of self-regulation, we propose a framework that describes self-control as a dynamic, multi-stage process that unfolds over time. In this review, we first provide an overview of this framework, which poses three stages of regulation: the identification of the need for self-control, the selection of strategies to regulate temptations, and the implementation of chosen strategies. These regulatory stages are then flexibly monitored over time. We then propose a series of questions to organize existing literature by highlighting what we already know, what we need to learn, and methodological recommendations for future research. Finally, we conclude by highlighting the need to bridge across disciplines, thereby improving our understanding of how self-control unfolds in everyday life and across different domains.
Critical buckling moment of functionally graded tapered mono-symmetric I-beam

This study deals with the Lateral-Torsional Buckling (LTB) of a mono-symmetric tapered I-beam, in which the cross-section is varying longitudinally. To obtain the buckling moment, two concentrated bending moments should be applied at the two ends of the structure. This structure is made of Functionally Graded Material (FGM). The Young' s and shear modules change linearly along the longitudinal direction of the beam. It is considered that this tapered beam is laterally restrained continuously, by using torsional springs. Furthermore, two rotational bending springs are employed at the two structural ends. To achieve the buckling moment, Ritz solution method is utilized. The response of critical buckling moment of the beam is obtained by minimizing the total potential energy relation. The lateral and torsional displacement fields of the beam are interpolated by harmonic functions. These functions satisfy the boundary conditions. Two different support conditions are considered in this study. The obtained formulation is validated by solving benchmark problems. Moreover, some numerical studies are implemented to show the accuracy, efficiency and high performance of the proposed formulation.
Nonvolatile All‐Optical 1 × 2 Switch for Chipscale Photonic Networks

Integrated chip‐level photonics has the potential to revolutionize future computer systems by eliminating the “von‐Neumann information bottleneck” and the power losses resulting from the use of electrical interconnects. Yet, the need for optical‐to‐electrical conversion has so far hindered the implementation of chip‐level all‐optical routing schemes, which remain operational without continuous power consumption. Here, a crucial component to successful implementation of such all‐photonic networks is demonstrated – an effective, practicable all‐optical nonvolatile switch. Current integrated all‐optical switches require constant bias power to operate, and lose their state when it is removed. By contrast, our switch is entirely nonvolatile, with the direction of light flow altered by switching the phase state of an embedded phase‐change cell using 1 ps optical pulses. High on/off switching contrast devices are achieved that are fully integrated and compatible with existing photonic circuits. It is shown that individual switching events occur with transition times below 200 ps and thus hold promise for ultrafast light routing on chip. The approach offers a reliable and simple route toward hybrid reconfigurable photonic devices without the need for electrical contacting.
Effect of Injection of Hatching Eggs in Different Concentrations of Nano Silver at Age 17.5 Days of Embryonic Age in Some Histological Traits of Broiler Ross 308

This study was conducted in the hatchery belonging to Al-Anwar Poultry Company,by injecting the hatchingeggs at the age of 17.5 days from the age of the embryos with nano Silver, after that, and raised hatchingchicks from the injected eggs in the field of poultry belonging to the Department of Animal Production,College of Agriculture, University of Al-Qasim Green for the period from 6/8/2017 until 9/9/2017, and afterthat the laboratory work was done, as it used 168 broiler chickens and was reared in cages 1 x 1.5 m, thechicks were randomly divided into seven treatments, and each treatment had three replicates, including eachreplicate of 8 chicks. Nano-silver was used by injecting it into the eggs in concentrations(0,4,6,8,10,12,14ppm) for treatments (T1,T2,T3,T4,T5,T6,T7) respectively, The chicks were raised in the field for a periodof 35 days, and in this study we reached the following results, a significant excelled (P<0.01) of the T3treatment in the length and width of the villi in the Jejunum and the excelled of the two treatments T3,T7in the depth of crypts of Lieberkuhn, and in the ileum there was a significant excelled (P<0.01) for thetreatment T2 in the villi length, while the treatment T7 excelled in the villi width and the treatment T5 andT6 treatment was excelled in the crypts depth
Dispersion and soap-free emulsion polymerization of tert-butyl acrylate with the living character and controlled particle size mediated by cobalt porphyrin

Living radical polymerization (LRP) of tert-butyl acrylate (tBA) was carried out via dispersion and soap-free emulsion polymerization mediated by cobalt porphyrin [cobalt tetramethoxyphenylporphyrin, (TMOP)Co(II)] and initiated by 2,2′-azobis[2-(2-imidazolin-2-yl)propane] dihydrochloride (VA-044), respectively. The living character was demonstrated by the linear first-order kinetics with different feeding ratios of tBA and (TMOP)Co(II) and a linear increase in the number-average molecular weight was observed with the monomer conversion, as well as the relatively narrow polydispersity. However, only few studies have been reported on (TMOP)Co(II) mediating a living radical dispersion or soap-free emulsion polymerization of tBA. In addition, the obtained poly(tert-butyl acrylate) (PtBA) particles exhibited good uniformity and controlled particle size whether in the dispersion system or in the soap-free emulsion polymerization.
Differential Harsh Parenting and Sibling Differences in Conduct Problems: The Role of Effortful Control

DIFFERENTIAL HARSH PARENTING AND SIBLING DIFFERENCES IN CONDUCT PROBLEMS: THE ROLE OF EFFORTFUL CONTROL FEBRUARY 2021 YELIM HONG, B.S., UNIVERSITY OF IOWA M.S., UNIVERSITY OF MASSACHUSETTS AMHERST Directed by: Professor Kirby Deater-Deckard Differential parenting has been shown to be an important correlate and possible cause of positive and negative adjustment of sibling children. However, it is not known whether sibling differences in temperament affect this link between differential harsh parenting and sibling differences in adjustment outcomes. The current study addressed this gap in knowledge. The sample included 92 monozygotic (MZ, 63% female) twin pairs and 137 dizygotic same-sex (DZ, 52% female) twin pairs who had complete temperament survey data collected near the third annual wave in the longitudinal study. Children were 6.09 years old (SD = .69) years old at wave 1. Mothers completed questionnaires, and mother and child were observed interacting during a home visit. Within families, greater sibling differences in conduct problems were statistically predicted by greater differences in harsh parenting exposure between siblings, but not by differences in effortful control. A hypothesized two-way interaction between sibling differences in harsh parenting and differences in effortful control was not significant. Regarding statistical bidirectional “child effects”, greater sibling differences in harsh parenting exposure were statistically predicted by greater sibling differences in conduct problems and greater sibling differences in effortful control. A hypothesized two-way interaction between conduct problems and effortful control was not significant. There iii iv was evidence of a bidirectional association between differential harsh parenting and sibling differences in conduct problems. In order to study proximal family process, it is important to investigate sibling differences using within-family designs. Results can inform parents about how their differential parenting practices may affect child behavioral outcomes, to keep in mind when they parent their children.
The coordinated control technology of the AC/DC hybrid microgrid in the integrated energy station

The integrated energy station is a comprehensive service station that integrates the conventional electricity substation, the distributed renewable energy sources, the data center station, the communication base station, the charging piles, the energy storage batteries, etc. At the same time, the heating/cooling requirements of the data centers, the energy storage batteries, the main transformers, and the duty rooms should also be satisfied. Given that multiple DC sources and DC loads exist in the integrated energy station, an AC/DC hybrid microgrid is constructed to interface the DC sources and feed the DC loads directly [1-3]. Then the overall efficiency and reliability are greatly improved due to the reduction of power converters. In this paper, two power supply solutions of the microgrid inside the integrated energy station are proposed and compared from the perspectives of voltage level, operational reliability, overall efficiency, protection method, and so on. The superior solution is chosen and the mathematical models of the key power converters in the AC/DC hybrid microgrid are constructed. Then the operation modes of the AC/DC hybrid microgrid under different working conditions are analyzed. According to the mathematical models and typical operation modes, the coordinated control technology of the AC/DC power supply are put forward and researched. Finally, the theoretical studies described above are verified by simulation results.
Heterogeneous Graph Propagation Network

Graph neural network (GNN), as a powerful graph representation technique based on deep learning, has shown superior performance and attracted considerable research interest. Recently, some works attempt to generalize GNN to heterogeneous graph which contains different types of nodes and links. Heterogeneous graph neural networks (HeteGNNs) usually follow two steps: aggregate neighbors via single meta-path and then aggregate rich semantics via multiple meta-paths. However, we discover an important semantic confusion phenomenon in HeteGNNs, i.e., with the growth of model depth, the learned node embeddings become indistinguishable, leading to the performance degradation of HeteGNNs. We explain semantic confusion by theoretically deriving that HeteGNNs and multiple meta-paths based random walk are essentially equivalent. Following the theoretical analysis, we propose a novel Heterogeneous graph Propagation Network (HPN) to alleviate the semantic confusion. Specifically, the semantic propagation mechanism improves the node-level aggregating process via absorbing node's local semantic with a proper weight, which makes HPN capture the characteristics of each node and learn distinguishable node embedding with deeper HeteGNN architecture. Then, the semantic fusion mechanism is designed to learn the importance of meta-path and fuse them judiciously. Extensive experimental results show the superior performance of the proposed HPN over the state-of-the-arts.
Evaluation of Sensor and Analysis Area in the Signal Source Estimation by Spatial Filter for Magnetocardiography

Magnetocardiography (MCG) has been extensively investigated and evaluated in various clinical studies for its potential in detecting the early stages of cardiac diseases. In particular, the establishment of a technology that can provide detailed information on the lesion parts of the heart is expected. The estimation result of the current spatial filter method, such as the exact low-resolution brain electromagnetic tomography (eLORETA), contains errors and has insufficient estimation accuracy for clinical applications. The information of sensors located at the ends cannot be utilized, and the amount of information that affects the estimation result is different for each sensor, which causes the derivation of a biased estimated solution. Therefore, in this study, we considered that the amount of information of each sensor can be used equally by setting an analysis area larger than the sensor area and proposed a method focusing on the relationship between the analysis area of signal source estimation and the sensor plane. We simulated the most efficient and optimized analysis area to be used and performed the source signal estimation by eLORETA using the QRS-complex peak data of the actual MCGs used in adjusting the 51ch sensor directly above the xiphoid process. We compared the following three sizes of the analysis area: <inline-formula> <tex-math notation="LaTeX">$x =120$ </tex-math></inline-formula> mm, <inline-formula> <tex-math notation="LaTeX">$y =120$ </tex-math></inline-formula> mm, and <inline-formula> <tex-math notation="LaTeX">$z =100$ </tex-math></inline-formula> mm (a); <inline-formula> <tex-math notation="LaTeX">$x =180$ </tex-math></inline-formula> mm, <inline-formula> <tex-math notation="LaTeX">$y =180$ </tex-math></inline-formula> mm, and <inline-formula> <tex-math notation="LaTeX">$z =100$ </tex-math></inline-formula> mm (b); and <inline-formula> <tex-math notation="LaTeX">$x =240$ </tex-math></inline-formula> mm, <inline-formula> <tex-math notation="LaTeX">$y =240$ </tex-math></inline-formula> mm, <inline-formula> <tex-math notation="LaTeX">$z =100$ </tex-math></inline-formula> mm (c). Thus, because the signals from the heart are originally considered to be a single block, the estimated solution is also expected to be a single block. The solution was estimated as a single block, except case with analysis area (a), which corresponds to the conventional method. In addition, the position and size of the estimated solution are similar to those of the heart obtained from the computed tomography (CT) images. The goodness of fit of each analysis area was approximately 0.99 or more, which indicated that there was no significant difference. Thus, we demonstrated that it is possible to visualize the movement of the myocardium by estimating the time-series waveform of the MCG.
Effect of Electronic Medical Records on Improving Patient Care

In the last few years, patient accessible electronic health records have been used more extensively in the United States, as well as other first world countries, as a promising solution to encourage patient involvement and shared decision making. The purpose of this was to improve compliance and outcomes in chronically ill patients, especially those who are prescribed multiple medications. Providing patient-oriented care is the foundation of ensuring patient involvement and active engagement that will result in positive outcomes. The physician-patient relationship has been given more focus recently, in efforts of optimizing the patient’s experience. Better communication between the two tends to show an increase in satisfaction, lessen the number of lawsuits against the physician, and have positive clinical outcomes. “Evidence has shown patient-provider communication is the most salient part of a medical visit” [1]. Better communication has also shown to have an effect on decreasing psychological symptoms, such as stress and fear.Chronically ill patients, such as those with diabetes mellitus type 2 and long-standing hypertension, show greater improvements after building a better relationship and communication pathway, with “improved drug treatment intensification, monitoring, and physiologic control among patients with diabetes, with great improvements amongst patients with worse control and less testing necessary”[2]. Therefore, it is best for society and the medical community, to emphasize and encourage a form of constant communication, such as electronic health records.
Time splitting combined with exponential wave integrator Fourier pseudospectral method for quantum Zakharov system

In this paper we develop a time splitting combined with exponential wave integrator (EWI) Fourier pseudospectral (FP) method for the quantum Zakharov system (QZS), i.e. using the FP method for spatial derivatives, a time splitting technique and an EWI method for temporal derivatives in the Schrodinger-like equation and wave-type equations, respectively. The scheme is fully explicit and efficient due to fast Fourier transform. Numerical experiments for the QZS are presented to illustrate the accuracy and capability of the method, including accuracy tests, convergence of the QZS to the classical Zakharov system in the semi-classical limit, soliton-soliton collisions and pattern dynamics of the QZS in one-dimension, as well as the blow-up phenomena of QZS in two-dimension.
Research on maintenance tools of wire clamps for live working on Ultra High Voltage transmission lines

Aiming at the problem that the suspension clamp is difficult to be quickly replaced due to the heavy load of the suspension clamp when replacing the transmission line wire suspension clamp in the UHV live operation, this paper develops an auxiliary device for realizing the rapid replacement of the conductor suspension clamp. Through the design of fixtures suitable for the installation of UHV wires and connecting plates, the load transfer of the suspension clamp can be quickly realized, and the suspension clamp can be separated and replaced under the condition of no force. The device is flexible and light, and effectively improves the live working personnel work efficiency.
Measuring food price volatility

Over the past two decades, the prices of agricultural commodities have experienced large and unpredictable fluctuations that have attracted the attention of researchers, policymakers and the media to better understand the mechanisms that govern this phenomenon. It is therefore important to acquire basic tools to assess the level of price volatility to warn of abnormal movements. The main objective of this technical note is to provide an overview of this literature in constant evolution, and tools for measuring food price volatility. The tools developed in this technical note help understand the complexity of measuring volatility and the caution required in their use. Thus, the application of these tools requires their adaptation to the nature of the data generating process and the use of appropriate tests and criteria in order to choose the best approach.