Miracle-dz/UniFAR-FTUs huggingface dataset:
RHAPSODY. I. STRUCTURAL PROPERTIES AND FORMATION HISTORY FROM A STATISTICAL SAMPLE OF RE-SIMULATED CLUSTER-SIZE HALOS

We present the first results from the Rhapsody cluster re-simulation project: a sample of 96 “zoom-in” simulations of dark matter halos of 1014.8 ± 0.05 h−1 M☉, selected from a 1 h−3 Gpc3 volume. This simulation suite is the first to resolve this many halos with ∼5 × 106 particles per halo in the cluster mass regime, allowing us to statistically characterize the distribution of and correlation between halo properties at fixed mass. We focus on the properties of the main halos and how they are affected by formation history, which we track back to z = 12, over five decades in mass. We give particular attention to the impact of the formation history on the density profiles of the halos. We find that the deviations from the Navarro–Frenk–White (NFW) model and the Einasto model depend on formation time. Late-forming halos tend to have considerable deviations from both models, partly due to the presence of massive subhalos, while early-forming halos deviate less but still significantly from the NFW model and are better described by the Einasto model. We find that the halo shapes depend only moderately on formation time. Departure from spherical symmetry impacts the density profiles through the anisotropic distribution of massive subhalos. Further evidence of the impact of subhalos is provided by analyzing the phase-space structure. A detailed analysis of the properties of the subhalo population in Rhapsody is presented in a companion paper.
Vote algorithm based probabilistic model for phishing website detection

Internet scams have been a major concern for everyone over the past decade. With the advancement of technology, attackers have formulated different kinds of contemporary fraudulent procedures to obtain user’s sensitive information. Phishing is one of the oldest and common fraudulent attempts by which every year millions of internet users fall victim to scams resulting in losing their money. Different techniques and algorithms have been proposed by researchers in detecting phishing websites. However, the detection of phishing websites has few challenges since there are different subjective considerations and ambiguities involved in the detection process. This paper presents a two-stage probabilistic method for detecting phishing websites based on the vote algorithm. In the first stage, 29 different base classifiers have been used and their probabilistic values were calculated. In the second stage, the voting algorithm aggregated the probabilistic values of several base classifiers and the phishing websites were detected using the average of probabilities approach. The voting technique achieved an accuracy of 97.431% outperforming all of the single base classifiers in terms of accuracy.
Weak and strong regularity, compactness, and approximation of polynomials

Let $X$ be an inner product space, let $G$ be a group of orthogonal transformations of $X$, and let $R$ be a bounded $G$-stable subset of $X$. We define very weak and very strong regularity for such pairs $(R,G)$ (in the sense of Szemer\'edi's regularity lemma), and prove that these two properties are equivalent. Moreover, these properties are equivalent to the compactness of the space $(B(H),d_R)/G$. Here $H$ is the completion of $X$ (a Hilbert space), $B(H)$ is the unit ball in $H$, $d_R$ is the metric on $H$ given by $d_R(x,y):=\sup_{r\in R}| |$, and $(B(H),d_R)/G$ is the orbit space of $(B(H),d_R)$ (the quotient topological space with the $G$-orbits as quotient classes). As applications we give Szemer\'edi's regularity lemma, a related regularity lemma for partitions into intervals, and a low rank approximation theorem for homogeneous polynomials.
Shift Pooling PSPNet: Rethinking PSPNet for Building Extraction in Remote Sensing Images from Entire Local Feature Pooling

Building extraction by deep learning from remote sensing images is currently a research hotspot. PSPNet is one of the classic semantic segmentation models and is currently adopted by many applications. Moreover, PSPNet can use not only CNN-based networks but also transformer-based networks as backbones; therefore, PSPNet also has high value in the transformer era. The core of PSPNet is the pyramid pooling module, which gives PSPNet the ability to capture the local features of different scales. However, the pyramid pooling module also has obvious shortcomings. The grid is fixed, and the pixels close to the edge of the grid cannot obtain the entire local features. To address this issue, an improved PSPNet network architecture named shift pooling PSPNet is proposed, which uses a module called shift pyramid pooling to replace the original pyramid pooling module, so that the pixels at the edge of the grid can also obtain the entire local features. Shift pooling is not only useful for PSPNet but also in any network that uses a fixed grid for downsampling to increase the receptive field and save computing, such as ResNet. A dense connection was adopted in decoding, and upsampling was gradually carried out. With two open datasets, the improved PSPNet, PSPNet, and some classic image segmentation models were used for comparative experiments. The results show that our method is the best according to the evaluation metrics, and the predicted image is closer to the label.
An eigenvalue method for computing the largest relaxation time of disordered systems

We consider the dynamics of finite size disordered systems as defined by a master equation satisfying detailed balance. The master equation can be mapped onto a Schrödinger equation in configuration space, where the quantum Hamiltonian H has the generic form of an Anderson localization tight-binding model. The largest relaxation time teq governing the convergence towards Boltzmann equilibrium is determined by the lowest non-vanishing eigenvalue E1 = 1/teq of H (the lowest eigenvalue being E0 = 0). So the relaxation time teq can be computed without simulating the dynamics by any eigenvalue method able to compute the first excited energy E1. Here we use the ‘conjugate gradient’ method to determine E1 for each disordered sample and present numerical results on the statistics of the relaxation time teq over disordered samples of a given size for two models: (i) for the random walk in a self-affine potential of Hurst exponent H on a two-dimensional square of size L × L, we find the activated scaling lnteq(L)∼Lψ with ψ = H as expected; (ii) for the dynamics of the Sherrington–Kirkpatrick spin glass model of N spins, we find the growth lnteq(N)∼Nψ with ψ = 1/3 in agreement with most previous Monte Carlo measures. In addition, we find that the rescaled distribution of (lnteq) decays as e−uη for large u with a tail exponent of order . We give a rare-event interpretation of this value, that points towards a sample-to-sample fluctuation exponent of order for the barrier.
Hidden in the jungle of Vietnam: a new species of Quasipaa (Amphibia, Anura, Dicroglossidae) from Ngoc Linh Mountain

﻿Abstract A new species of Quasipaa is described from Ngoc Linh Mountain of the Kon Tum Massif in central Vietnam. The new species is morphologically distinguishable from its congeners on the basis of a combination of the following diagnostic characters: SVL 79.6–84.3 mm in males and 64.6–69.9 mm in females; head broader than long; vomerine teeth present; external vocal sacs absent; tympanum slightly visible; dorsum with lines of thick ridges and small round tubercles; flanks covered by oval and round tubercles; supratympanic fold present; dorsolateral fold absent; ventrolateral sides, ventral surface of arms, and all fingers with spines in males; the absence of spines on chest and belly in males; toes fully webbed to distal portion of terminal phalanx; in life, dorsum dark brown, chest and belly immaculate white. Phylogenetic analyses found that the genetic divergence of the new species and its congeners ranged from 4.2–5.1% (compared with Quasipaaboulengeri) to 7.6–8.1% (compared with Q.shini) in the 16S gene.
Clues on void evolution II: Measuring density and velocity profiles on SDSS galaxy redshift space distortions

Fil: Paz, Dante Javier. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro Cientifico Tecnologico Conicet - Cordoba. Instituto de Astronomia Teorica y Experimental. Universidad Nacional de Cordoba. Observatorio Astronomico de Cordoba. Instituto de Astronomia Teorica y Experimental; Argentina
The Influence of Parenting Styles on Child-Parent Relationship Among Chinese and Bumiputera in Sabah

Several studies on child-parent relationships in Malaysia have been conducted before COVID-19. After the pandemic, most child-parent relationship studies were conducted abroad, such as Singapore, Greece, Belgium, and the United States. However, there are no published studies that investigated the child-parent relationship among Chinese and Bumiputera parents with preschool children in Sabah. This study aims to examine the difference in parenting styles between Chinese and Bumiputera parents with preschool children in Sabah. As well, to examine the influence of parenting styles on child-parent relationships. In the pilot study, 49 parents of preschool-aged children were surveyed. The reliability and validity are tested and convinced. This study would like to provides parents, educators, and the government with a preliminary picture of parenting styles and child-parent relationships to develop a strategy to improve or adjust early childhood education in the post-pandemic.
A Stochastic Coding Method of EEG Signals for Sleep Stage Classification

The recording of fired action potentials (spikes) of brain neurons, also known as spike trains, is considered to be the primary mode of information transmission in the nervous system. Electroencephalography (EEG) is the most direct sampling method for spike trains. However, due to the inherent biological properties of neurons such as spike randomness, timing dynamic, and noisy containment, there are challenges in EEG-related physiological identification tasks (such as sleep staging, epilepsy detection, etc.). Traditional feature engineering of EEG has a tendency toward deterministic statistical analysis and inference, which often ignores the biological properties of neurons. In this paper, we propose an innovative non-deterministic coding method of EEG signals for improving the performance of sleep stage classification tasks. By local normalization, probabilistic sampling, and window projection on the EEG signals, we discretize the continuous signals and feed them into a subsequent classification model. The coding method is tested on the public datasets and typical deep learning models for EEG. Our proposal achieved competitive sleep staging results. The precision of 0.95, 0.84, 0.92, 0.98, and 0.85 were obtained in the Wake, N1, N2, N3, and REM stages, respectively. Our research shows that the non- deterministic coding of EEG has potential for further application in biomedical devices.
The Applicability of the ESPEN and EASO-Defined Diagnostic Criteria for Sarcopenic Obesity in Japanese Patients after Stroke: Prevalence and Association with Outcomes

Sarcopenic obesity is of growing research and clinical interest; however, validated diagnostic criteria are lacking. We therefore aimed to examine the prevalence of sarcopenic obesity as diagnosed by the criteria recently proposed by the European Society for Clinical Nutrition and Metabolism (ESPEN) and the European Association for the Study of Obesity (EASO), and its association with outcomes among patients after stroke. This study was based on a cohort of 760 Japanese patients after stroke admitted to a post-acute rehabilitation hospital. Sarcopenic obesity was diagnosed at admission according to the ESPEN and EASO criteria using reference values specific to Asians. Outcomes included the motor domain of the functional independence measure (FIM-motor) and the food intake level scale (FILS) at discharge. Multivariate linear regression models were used to assess the associations between sarcopenic obesity and outcomes. Among 760 patients (median age, 73 years; 352 women and 408 men), sarcopenic obesity was diagnosed in 34 patients (4.5%; 5.4% of women and 4.1% of men). In multivariate analyses, sarcopenic obesity was independently and negatively associated with FIM-motor (β = −0.048, p = 0.031) and FILS at discharge (β = −0.095, p = 0.046) in women. In contrast, in men, sarcopenic obesity showed an independent negative association with FIM-motor at discharge (β = −0.117, p < 0.001) but no statistically significant association with FILS at discharge (β = −0.004, p = 0.323). In conclusion, the prevalence of sarcopenic obesity diagnosed by the ESPEN and EASO-defined criteria was as low as 4.5% among Japanese patients after stroke. Furthermore, sarcopenic obesity was negatively associated with improvements in activities of daily living and dysphagia.
A Density Functional Theory and Microkinetic Study of Acetylene Partial Oxidation on the Perfect and Defective Cu2O (111) Surface Models

The catalytic removal of C2H2 by Cu2O was studied by investigating the adsorption and partial oxidation mechanism of C2H2 on both perfect (stoichiometric) and CuCUS-defective Cu2O (111) surface models using density functional theory calculations. The chemisorption of C2H2 on perfect and defective surface models needs to overcome the energy barrier of 0.70 and 0.81 eV at 0 K. The direct decomposition of C2H2 on both surface models is energy demanding with the energy barrier of 1.92 and 1.62 eV for the perfect and defective surface models, respectively. The H-abstractions of the chemisorbed C2H2 by a series of radicals including H, OH, HO2, CH3, O, and O2 following the Langmuir–Hinshelwood mechanism have been compared. On the perfect Cu2O (111) surface model, the activity order of the adsorbed radicals toward H-abstraction of C2H2 is: OH > O2 > HO2 > O > CH3 > H, while on the defective Cu2O (111) surface model, the activity follows the sequence: O > OH > O2 > HO2 > H > CH3. The CuCUS defect could remarkably facilitate the H-abstraction of C2H2 by O2. The partial oxidation of C2H2 on the Cu2O (111) surface model tends to proceed with the chemisorption process and the following H-abstraction process rather than the direct decomposition process. The reaction of C2H2 H-abstraction by O2 dictates the C2H2 overall reaction rate on the perfect Cu2O (111) surface model and the chemisorption of C2H2 is the rate-determining step on the defective Cu2O (111) surface model. The results of this work could benefit the understanding of the C2H2 reaction on the Cu2O (111) surface and future heterogeneous modeling.
Design and Development of Wireless Power Transfer System for AUV Applications

Wireless power transfer (WPT) in air has been a research topic over a century and has been extensively used in applications such as electric vehicles (EV’s), mobile devices and RF identification (RFID) etc. Research of WPT in under water applications is more of interest because of attenuation to fields from water due to its salinity and water currents. In this paper a 1KW wireless power is transferred for autonomous under water vehicles (AUV’S) for charging the AUV battery. The eddy currents in water and their losses are considered for performance calculations. Simulation tools such as Ansys maxwell and LT spice is used for coil and circuit analysis respectively.
Design of C-V2X CAM/DENM Separate Resource Pool

With the popularization and revolution of wireless networks and autonomous driving, cellular-vehicle-to- everything (C-V2X) has become a hot research scale, which profoundly affects the way people travel and mobility by improving road safety and providing efficient driving paths. The type of data packets used to communicate in the C-V2X includes periodic and aperiodic messages and they use the same resource pool. In this work, we proposed a novel method that can support dividing the whole resource pool for the periodic and aperiodic messages. This method can ensure that the packet reception ratio of aperiodic messages is maximized while maintaining the stability of periodic message receiving performance. And based on the simulations, we concluded the proposed method can provide better performance.
Metal Crack Detection with Chipless RFID Sensor using Shot-Time Matrix Pencil Method

This paper presents an investigation of the metal crack with the chipless RFID tag. The main part of the tags is a circular microstrip patch antenna (CMPA) resonator. To indicate the bit ID of tags using the resonant frequencies, the slots were created within the CMPA resonator. A short-time matrix pencil method (STMPM) was used to extract poles of the chipless RFID tag from signal backscattering. The performance of metal crack detection using STMPM was evaluated via simulations. The resonant frequencies of the tag were investigated in order to detect the crack of the metal plate. The results showed a crack on the metal affects natural frequencies shift.
Faculty and Student Partnerships in the Scholarship of Teaching and Learning: Evaluation of an Institutional Model

We present the design and evaluation of an institutional support model for the Scholarship of Teaching and Learning (SoTL): the SoTL Seed Program. In this model, faculty from across disciplines partner with graduate students with expertise in educational and social science methodologies to implement SoTL investigations. We interviewed and obtained feedback from both faculty and graduate students about their experiences. A qualitative approach based on grounded theory suggests that organized and sustained partnership between faculty and graduate students offers a viable institutional framework to support SoTL across academic disciplines. In our institution, partnerships in SoTL have resulted in facilitating academic and professional development for both faculty and graduate students, establishing communities of practice for SoTL, and providing infrastructure for systematic engagement with SoTL.
Vehicle Tracking using Euclidean Distance

In this paper, a real-time vehicle detection and tracking algorithms is proposed. The vehicle detection could be processed using GMM (Gaussian Mixture Model) algorithm and mathematical morphological processing with HD CCTV camera images. The vehicle tracking based on separated vehicle object was performed using Euclidean distance between detected object. In more detail, background could be estimated using GMM from CCTV input image signal and then object could be separated from difference image of the input image and background image. At the next stage, candidated objects were reformed by using mathematical morphological processing. Finally, vehicle object could be detected using vehicle size informations dependent on distance and vehicle type in tunnel. The vehicle tracking performed using Euclidean distance between the objects in the video frames. Through computer simulation using recoded real video signal in tunnel, it is shown that the proposed system works well.
A New combined MPPT-Pitch Angle control of a Large Variable Speed Wind Turbine in Different Operating Areas based on Synergetic control

The aim of this paper is to create a novel combination between two controls, maximum power point tracking (MPPT) and Pitch angle control system of a variable-speed wind turbine. The main objective sought is to achieve the maximization of the power produced by the fixed pitch angle turbine through the MPPT control in the zone 02 of operation. Then, limit the power to its nominal value by using the Pitch control with variable pitch angle in zone 03 of operation. Our contribution will be to propose strategies based on two types of controllers. The first is the control by the MPPT control, it is applied in light winds to extract the maximum power. The second is Variable Pitch Control, which is applied in strong winds to keep power constant at its nominal value, as well as protecting the wind turbine from high winds. For this, linear and non-linear control laws (PI, SC) respectively are implemented to achieve the defined objective. The simulation results show the feasibility and effectiveness of the techniques used.
A model for right-handed neutrino magnetic moments

A simple extension of the standard model providing Majorana magnetic moments to right-handed neutrinos is presented. The model contains, in addition to the standard model particles and right-handed neutrinos, just a singly charged scalar and a vector-like charged fermion. The phenomenology of the model is analysed and its implications in cosmology, astrophysics and lepton flavour violating processes are extracted. If light enough, the charged particles responsible for the right-handed neutrino magnetic moments could copiously be produced at the Large Hadron Collider.
Bio-inspired locomotion of a rotating cylinder pair

We developed bio-inspired reduced-order models of swimmers, consisting of a self-propelling pair of rotating cylinders. The aim of the project is twofold. First, simplified and non-deforming geometries can more easily be employed in small-scale robotic applications to solve relevant engineering problems. Second, they can serve as reduced physics models to efficiently simulate fluid-mediated interactions in schools of swimmers and perform learning studies involving multiple swimmers. In the first half of the thesis, we investigate the self-propulsion regimes of a pair of counter-rotating cylinders. For low rotation rates, the cylinders behave like a vortex dipole and the flow is characterized by an elliptical closed streamline surrounding the cylinders. For intermediate rotation rates, the cylinders move in the opposite direction and each has a different set of closed streamlines. Further increasing the rotation rate, the motion of the pair becomes unstable. We systematically explore the phase space defined by the non-dimensional centre-to-centre distance and the rotational Reynolds number, and find inverted exponential correlations that describe the transition between states. In the second half, we design three different locomotory modes of the cylinder pair, with few degrees of freedom, inspired by the movement of undulatory fish and jellyfish. The parameter spaces were explored with the CMA-ES stochastic optimization algorithm in order to find the best solutions in terms of maximum speed and efficiency. The undulatory fish-inspired motion achieves propulsion by shedding vorticity in a sequence of alternating sign vortices, similarly to its biologic counterpart. The jellyfish-inspired motion during each period sheds a vortex dipole, which generates a strong momentum flux in its wake and thus a large thrust, the definition of the swimming mode of jet-propelled oblate medusae.