Miracle-dz/UniFAR-FTUs huggingface dataset:
Outage probability and throughput of cooperative non‐orthogonal multiple access with moving relay in heterogeneous network

The demand of high data rate, high quality of service (QoS), and seamless connectivity are growing continuously for vehicular communication over the last few years. Moving relay (MR) is one of the promising techniques to achieve these demands. In the past, heterogeneous network (HetNet) models with one MR on the top of the train have been proposed for high‐speed railway (HSR) using the orthogonal multiple access (OMA) technique. Cooperative non‐orthogonal multiple access (NOMA) is a promising multiple access technique for next‐generation wireless networks. This paper proposes one MR‐based HetNet model using the NOMA over Rayleigh fading channels for downlink communication. Here, half‐duplex (HD) type amplify and forward (AF) relay is used as MR for investigation. We derive the outage probability of a train‐user using the successive interference cancellation (SIC) technique and the outage probability of a cell‐edge‐user by using both direct and indirect signals via MR. The system throughput of the proposed NOMA system is also simulated by considering the effects of perfect and imperfect SIC. The simulation results show that cooperative NOMA provides lower outage performance in comparison with cooperative OMA and outage of vehicular user decreases with lower value of residual interference (RI). Also, the system throughput of the NOMA system decreases with higher values of residual interference. We use Monte Carlo simulation to verify the derived analytical results.
A Systematic Review of the Effectiveness of Virtual Reality-Based Interventions on Pain and Range of Joint Movement Associated with Burn Injuries

Background: Burns are mild or severe lesions produced in living tissue, due to the action of different agents. This pathology is considered the third cause of accidental death in the world by the World Health Organization. Among the most disabling sequelae in these patients, pain and range of motion have the greatest impact. A recommended tool to complement the treatment or management of the symptoms associated with burns is virtual reality. Objective: The objective of this study was to analyse the effectiveness of virtual-reality therapy for pain relief and the improvement of the range of joint movement in patients who have suffered burns. Methodology: This study is a systematic review conducted following the PRISMA statements. An electronic literature search was performed in the following databases: PubMed, Cochrane, Dialnet, Scopus and Science Direct. The inclusion criteria were: participants with burns in any part of the body, interventions with virtual reality with or without complementary treatment, studies in both Spanish and English, and outcome measures of pain and range of motion. Results: Finally, 10 studies were included in the review. The sample consisted of one pilot study, three randomized controlled clinical trials, one prospective randomized controlled clinical trial, one control group and treatment group trial, one interventional clinical trial and three comparative studies. The most commonly used assessment tools for pain were the graphic rating scale (GRS) and for range of motion the goniometer. The use of virtual-reality games significantly reduced pain scores during physiotherapy and occupational therapy treatments as well as in nursing care. The range of motion improved significantly during virtual-reality exercises performed during a physiotherapy treatment in 33% of studies included in this review. Conclusion: The results of the studies analysed in this systematic review suggest that the use of virtual reality for the management of pain and range of movement limitations associated with burn injuries could control these symptoms and decrease their negative consequences on the person.
Three-dimensional impedance networks for modelling frequency dependent electrical properties of composite materials

A three-dimensional impedance network model for describing the frequency dependent electrical properties of composite materials has been developed. The considered compounds consist of conducting particles dispersed in an insulating matrix and the ratio between the conductivities of the two phases is around seven decades. The character of the contacts between the particles will have a critical effect on the electrical characteristics. Two different types of contacts, represented by edge and face connections, are taken into account. A sharp edge connection gives an extremely localized field enhancement. Instead of trying to resolve this rapidly diverging electric field, an equivalent circuit element that reproduces the overall behaviour of the edge contact was introduced. The distribution of the filler grains also affects the electrical properties. The large agglomerates that appear in random distributions are not representative of the well-dispersed real materials. Several methods to create a more even than random dispersion of the conducting particles were therefore utilized. Simulations were performed and compared to measurements on ethylene–propylene–diene monomer rubber filled with silicon carbide grains. The calculations reproduce the general characteristics of the experimental results.
Interatomic Potential to Predict the Favored Glass-Formation Compositions and Local Atomic Arrangements of Ternary Al-Ni-Ti Metallic Glasses

An empirical potential under the formalism of second-moment approximation of tight-binding potential is constructed for an Al-Ni-Ti ternary system and proven reliable in reproducing the physical properties of pure elements and their various compounds. Based on the constructed potential, molecular dynamic simulations are employed to study metallic glass formations and their local atomic arrangements. First, a glass-formation range is determined by comparing the stability of solid solutions and their corresponding counterparts, reflecting the possible composition region energetically favored for the formation of amorphous phases. Second, a favored glass-formation composition subregion around Al0.05Ni0. 35Ti0.60 is determined by calculating the amorphous driving forces from crystalline-to-amorphous transition. Moreover, various structural analysis methods are used to characterize the local atomic arrangements of Al0.05NixTi0. 95-x metallic glasses. We find that the amorphous driving force is positively correlated with glass-formation ability. It is worth noting that the addition of Ni significantly increases the amorphous driving force configurations of fivefold symmetry and structural disorder in Al0.05NixTi0. 95-x metallic glasses until the content of Ni reaches approximately 35 at%.
Pressure Induced Fermi Surface Deformation in Lithium

Recently reported structural complexity and superconducting transition in lithium under pressure has increased the interest in light alkalis, otherwise considered as simple metals and well known systems under normal conditions. In this work we present an analysis of the pressure induced Fermi surface deformation in lithium with increasing pressure. According to our calculations, under pressure the Fermi surface becomes highly anisotropic and around 30 GPa develops an extended nesting, which could be the origin of the complex phase transitions observed at this pressure via a phonon instability. On the other hand, the phonon softening induced by the observed distortion and nesting in the Fermi surface could also imply an increasing electron-phonon interaction with pressure, which might also allow a better understanding of the observed superconducting transition in lithium at around the same pressure range.
The variability of water vapour and pre‐convective conditions over the mountainous island of Corsica

Comprehensive measurements were carried out on the mountainous island of Corsica during the Hydrological cycle in the Mediterranean Experiment (HyMeX) field campaign in 2012. Using data from an operational GPS network, radiosondes and microwave radiometers, we studied the spatio‐temporal variability of integrated water vapour (IWV) and convection‐related parameters in the pre‐convective environment over the island. The following spatial differences in the IWV evolution occurred frequently. In the interior of the island the IWV strongly increased around noon, while on the upstream coast only small variations were observed. We showed that a transport of water vapour with thermally driven circulations and the formation of elevated humidity layers due to advective venting caused the diurnal IWV variation over and downstream of the mountains. Spatial inhomogeneities in the pre‐convective atmospheric conditions evolved and the knowledge of these turned out to be crucial to understanding the timing and location of isolated deep convection over the island.
First Light: A Brief Review

The first stars in the universe are thought to be massive, forming in dark matter halos with masses around 10^6 solar masses. Recent simulations suggest that these metal-free (Population III) stars may form in binary or multiple systems. Because of their high stellar masses and small host halos, their feedback ionizes the surrounding 3 kpc of intergalactic medium and drives the majority of the gas from the potential well. The next generation of stars then must form in this gas-poor environment, creating the first galaxies that produce the majority of ionizing radiation during cosmic reionization. I will review the latest developments in the field of Population III star formation and feedback and its impact on galaxy formation prior to reionization. In particular, I will focus on the numerical simulations that have demonstrated this sequence of events, ultimately leading to cosmic reionization.
Validation of an Integrated IS Success Model in the Study of E-Government

Electronic government (E-government) systems are becoming an integral component of government service delivery systems. Because of the rapid growth of Internet and Information System (IS) technologies in Malaysia, E-government systems are becoming more and more necessary. This study examined user attitudes, usage intensions, and satisfaction with E-government systems using the Information System (IS) success model and the Technology Acceptance Model (TAM). This study deployed a questionnaire to 714 E-government users. The questionnaire results were analysed using the structural equation model (SEM). This study found that E-government perceived ease of use and perceived usefulness were strongly influenced by IS success model constructs and perceived trust. This study also found that user attitudes, usage intensions, and satisfaction were strongly influenced by TAM factors.
Hybrid Approach for Privacy Enhancement in Data Mining Using Arbitrariness and Perturbation

Imagine numerous clients, each with personal data; individual inputs are severely corrupt, and a server only concerns the collective, statistically essential facets of this data. In several data mining methods, privacy has become highly critical. As a result, various privacy-preserving data analysis technologies have emerged. Hence, we use the randomization process to reconstruct composite data attributes accurately. Also, we use privacy measures to estimate how much deception is required to guarantee privacy. There are several viable privacy protections; however, determining which one is the best is still a work in progress. This paper discusses the difficulty of measuring privacy while also offering numerous random sampling procedures and statistical and categorized data results. Furthermore, this paper investigates the use of arbitrary nature with perturbations in privacy preservation. According to the research, arbitrary objects (most notably random matrices) have "predicted" frequency patterns. It shows how to recover crucial information from a sample damaged by a random number using an arbitrary lattice spectral selection strategy. This filtration system's conceptual framework posits, and extensive practical findings indicate that sparse data distortions preserve relatively modest privacy protection in various situations. As a result, the research framework is efficient and effective in maintaining data privacy and security.
The CMB Power Spectrum from the Background Emission Anisotropy Scanning Telescope (BEAST) Experiment

The Background Emission Anisotropy Scanning Telescope (BEAST) is a 2.2m off-axis telescope with an 8 element mixed Q (38-45GHz) and Ka (26-36GHz) band focal plane, designed for balloon borne and ground based studies of the Cosmic Microwave Background. Here we present the Cosmic Microwave Background (CMB) angular power spectrum calculated from 682 hours of data observed with the BEAST instrument. We use a binned pseudo-Cl estimator (the MASTER method). We find results that are consistent with other determinations of the CMB anisotropy for angular wavenumber l between 100 and 600. We also perform cosmological parameter estimation. The BEAST data alone produces a good constraint on Omega_k = 1-Omega_tot=-0.074 +/- 0.070, consistent with a flat Universe. A joint parameter estimation analysis with a number of previous CMB experiments produces results consistent with previous determinations.
E-Commerce Network Security Based on Big Data in Cloud Computing Environment

The popularization and development of big data and cloud computing in e-commerce still face a series of problems, among which the most prominent one is security. How to establish an effective risk assessment system in the cloud computing environment is the primary concern of e-commerce enterprises. This article mainly discusses the network security of e-commerce based on big data in cloud computing environment. Because the servers of the cloud computing platform are deployed on a global scale, all the above nine processes can be carried out in real time, thereby improving the operational efficiency of the enterprise. Moreover, in large-scale e-commerce applications, according to probability statistics, the distribution of all these process steps must be uniformly distributed. Cloud computing is the commercial realization of computing resources, which is essentially a producer-consumer model. Cloud computing can balance the load to the greatest extent and solve various inconsistencies that may exist in the process of data processing. Balanced conflict greatly improved the solution. The speed, at which the case process runs, maximizes the potential of cloud computing on a commercial level. This article makes an effective investigation of information assets in various aspects. In this article, the comprehensive risk value of the system was calculated as 4.4. According to the risk level, this article sets up the electronic commerce system’s physical security and access and data backup control vulnerability to resolve problems; another big data reflect is also not allowed to ignore. In view of these problems, this article proposes corresponding improvement strategies responsibility allocation.
Aptamer-Modified Erythrocyte Membrane-Coated pH-Sensitive Nanoparticles for c-Met-Targeted Therapy of Glioblastoma Multiforme

Biomimetic drug delivery systems, especially red blood cell (RBC) membrane-based nanoparticle drug delivery systems (RNP), have been extensively utilized in tumor drug delivery because of their excellent biocompatibility and prolonged circulation. In this study, we developed an active targeting pH-sensitive RNP loaded with DOX by decorating an aptamer SL1 on RBC membranes (SL1-RNP-DOX) for c-Met-targeted therapy of glioblastoma multiforme (GBM). SL1 could specifically bind to c-Met, which is highly expressed in GBM U87MG cells and facilitate DOX delivery to GBM cells. In vitro studies demonstrated that U87MG cells had a higher uptake of SL1-RNP-DOX (3.25 folds) and a stronger pro-apoptosis effect than unmodified RNP-DOX. In vivo fluorescence imaging and tissue distribution further demonstrated the higher tumor distribution of SL1-RNP-DOX (2.17 folds) compared with RNP-DOX. As a result, SL1-RNP-DOX presented the best anti-GBM effect with a prolonged median survival time (23 days vs. 15.5 days) and the strongest tumor cell apoptosis in vivo among all groups. In conclusion, SL1-RNP-DOX exhibited a promising targeting delivery strategy for GBM therapy.
Distribution of invasive alien plant species, Bellucia pentamera, in forest conservation of oil palm plantation, West Sumatra, Indonesia

Abstract. Solfiyeni, Mukhtar E, Syamsuardi, Chairul. 2022. Distribution of invasive alien plant species, Bellucia pentamera, in forest conservation of oil palm plantation, West Sumatra, Indonesia. Biodiversitas 23: 3667-3674. Bellucia pentamera has been found in disturbed forests across Indonesia, but little is known about how it spreads under its tree canopy. The spread of the invasive plant B. pentamera in the PT KSI conservation forest area was investigated. The goal of this research is to study B. pentamera's strategy for exploiting forest gaps horizontally and vertically on degraded forest vegetation invaded by B. pentamera at various degrees of invasion. An Unmanned Aerial Vehicle (UAV) and direct field mapping are used for the mapping approach. Aerial photographs revealed 40 B. pentamera trees and 32 non-B. pentamera trees in forest areas with varying degrees of B. pentamera invasion (based on the ratio of B. pentamera non-B. pentamera: dense and loose). Bellucia pentamera trees were distributed evenly in a large gap and randomly in a small gap/space between the canopy, whereas sapling and seedling B. pentamera trees were distributed in groups, uniformly and randomly, according to microhabitat conditions under the canopy of B. pentamera and non-tree trees. Bellucia pentamera seedlings and saplings were detected under the parent tree's canopy rather than in the canopy gaps. Different responses were seen in seedlings, saplings, and juvenile stages concerning the explanatory factors investigated and between the two stands. The purpose of the study was to determine the factors that influence the distribution of the B. pentamera species in conservation forest areas with different compositions of existence, both vertically and horizontally, using drones and direct measurements in the field.
Associations between Body Composition and Vitamin D Status in Children with Overweight and Obesity Participating in a 1-Year Lifestyle Intervention

Background: To examine associations between body composition and vitamin D status in children participating in a lifestyle intervention. Methods: Children (6–12 y, n = 101) with a body mass index (BMI)-for-age >85th percentile were randomized to six dietitian-led behavior counselling sessions or no intervention. Plasma 25-hydroxyvitamin D (25(OH)D), anthropometry, and body composition using dual-energy X-ray absorptiometry were assessed every 3 months for 1 year. For each anthropometry variable (z-scores), tertiles were created to test for differences in 25(OH)D over time (tertile-by-time), and for changes in the z-score (loss, maintain, gain)-by-time, and according to fat patterning (android vs. gynoid) using mixed effects models. Results: The baseline plasma 25(OH)D was 62.2 nmol/L (95%CI: 58.7–65.7), and none < 30 nmol/L. At 6 mo, children with gynoid fat patterning had higher 25(OH)D concentrations than in those with android fat patterning (64.5 ± 1.1 nmol/L vs. 50.4 ± 1.0 nmol/L, p < 0.003, Cohen’s f = 0.20). Children with the lowest lean mass index z-score at 9 mo had higher plasma 25(OH)D concentrations than children with the highest z-score at baseline, 3 mo, and 6 mo (p < 0.05, Cohen’s f = 0.20). No other significant differences were observed. Conclusion: In this longitudinal study, vitamin D deficiency was not present in children 6–12 y of age with obesity. Reductions in adiposity did not alter the vitamin D status.
Integration and Volatility Spillover Among Environmental, Social and Governance Indices: Evidence from BRICS Countries

The current research examines the integration of environmental, social and governance (ESG) equity indices among emerging markets, that is, Brazil, Russia, India, China and South Africa (BRICS). Daily data of the ESG equity index from 1 January 2012 to 31 December 2021 are collected from Morgan Stanley Capital International (MSCI). The article employs Johansen’s co-integration test for long-term co-movement and Granger causality tests for causality among ESG equity indices. The study also used the BEKK model to investigate the volatility spillover among the ESG indices. Further, the study also calculated hedge ratios and portfolio weights. The results indicate that none of the ESG indices is co-integrated and short-run bi-directional causality exists across the four ESG indices. All the indices are significantly affected by their past shock and volatility. However, India’s ESG index is influenced by the past shock of South Africa and the past volatility of China. The findings suggest that the flow of information between the ESG indices of emerging countries is not developed yet to the point where they may be integrated into the BRICS countries. As a result, these sustainable equity indices must be promoted even more to become fully integrated.
End-to-End Latency Analysis for Data Transmission via Optimum Path Allocation in Industrial Sensor Networks

In a sensor network, packet transmission is easy, but achieving an effective routing path is difficult. The packet information is modified by the intruder node. Initial node capacity is not monitored, so it does not filter out the individual status of each and every node in the routing path. It causes a network that utilizes more energy and minimum packet delivery ratio. This work has implemented the enhanced centrum path allotment-based shielded communication (ECSC) scheme to achieve the shielded packet broadcasting from the sender node to the destination node in the network environment. The quality of packet transmission is improved by using the spatial uniqueness node selection algorithm. It is designed to select the routing node based on its uniqueness; priority-based communication is carried out by the uniqueness process. It improves the packet delivery ratio and network lifetime. It also minimizes packet drop rate and end-to-end delay.
After LUX: The LZ Program

Author(s): Malling, DC; Akerib, DS; Araujo, HM; Bai, X; Bedikian, S; Bernard, E; Bernstein, A; Bradley, A; Cahn, SB; Carmona-Benitez, MC; Carr, D; Chapman, JJ; Clark, K; Classen, T; Coffey, T; Curioni, A; Currie, A; Dazeley, S; Viveiros, L de; Dragowsky, M; Druszkiewicz, E; Faham, CH; Fiorucci, S; Gaitskell, RJ; Gibson, KR; Hall, C; Hanhardt, M; Holbrook, B; Ihm, M; Jacobsen, RG; Kastens, L; Kazkaz, K; Lander, R; Larsen, N; Lee, C; Leonard, D; Lesko, K; Lindote, A; Lopes, MI; Lyashenko, A; Majewski, P; Mannino, R; McKinsey, DN; Mei, D-M; Mock, J; Morii, M; Murphy, A St J; Nelson, H; Neves, F; Nikkel, JA; Pangilinan, M; Phelps, P; Reichhart, L; Shutt, T; Silva, C; Skulski, W; Solovov, V; Sorensen, P; Spaans, J; Stiegler, T; Sumner, TJ; Svoboda, R; Sweany, M; Szydagis, M; Thomson, J; Tripathi, M; Verbus, JR; Walsh, N; Webb, R; White, JT; Wlasenko, M; Wolfs, FLH; Woods, M; Zhang, C | Abstract: The LZ program consists of two stages of direct dark matter searches using liquid Xe detectors. The first stage will be a 1.5-3 tonne detector, while the last stage will be a 20 tonne detector. Both devices will benefit tremendously from research and development performed for the LUX experiment, a 350 kg liquid Xe dark matter detector currently operating at the Sanford Underground Laboratory. In particular, the technology used for cryogenics and electrical feedthroughs, circulation and purification, low-background materials and shielding techniques, electronics, calibrations, and automated control and recovery systems are all directly scalable from LUX to the LZ detectors. Extensive searches for potential background sources have been performed, with an emphasis on previously undiscovered background sources that may have a significant impact on tonne-scale detectors. The LZ detectors will probe spin-independent interaction cross sections as low as 5E-49 cm2 for 100 GeV WIMPs, which represents the ultimate limit for dark matter detection with liquid xenon technology.