Miracle-dz/UniFAR-FTUs huggingface dataset:
Thomas–Wigner rotation and Thomas precession in covariant ether theories: novel approach to experimental verification of special relativity

We continue the analysis of Thomas–Wigner rotation (TWR) and Thomas precession (TP) initiated in (Kholmetskii and Yarman. Can. J. Phys. 92, 1232 (2014). doi:10.1139/cjp-2014-0015; Kholmetskii et al. Can. J. Phys. 92, 1380 (2014). doi:10.1139/cjp-2014-0140), where a number of points of serious inconsistency have been found in the relativistic explanation of these effects. These findings motivated us to address covariant ether theories (CET), as suggested by the first author (Kholmetskii. Phys. Scr. 67, 381 (2003)) and to show that both TWR and TP find a perfect explanation in CET. We briefly reproduce the main points of CET, which are constructed on the basis of general symmetries of empty space–time, general relativity principles, and classical causality, instead of Einstein’s postulates of the special theory of relativity (STR). We demonstrate that with respect to all known relativistic experiments performed to date in all areas of physics, both theories, STR and CET, yield identical results. We further .
Microstates of Dynamic Directed Connectivity Networks Revealing Visual Color Influences on the Brain Information Processing During Learning

Color has the exceptional ability to capture visual attention and is also capable of enhancing positive emotions, leading to a significant impact on human learning and memory. However, the influence of color on the spatiotemporal dynamics of brain connectivity networks during learning has remained unexplored. This study aimed to propose an analytical approach based on time-frequency decomposition and microstate analysis to capture temporal variations in dynamic directed connectivity networks using electroencephalography (EEG) signals for investigating the influence of visual color on network dynamics of the brain during a learning task. Wavelet transform and phase slope index were employed to estimate the dynamic directed connectivity networks of EEG signals. The estimated dynamic directed connectivity networks were then characterized using graph theoretical analysis. The recurring patterns of dynamic directed connectivity networks were classified using cluster analysis before the temporal dynamics of directed connectivity networks were quantified using microstate analysis. Forty-five healthy participants participated in the experiment, which included memorizing learning materials presented in three different colors (achromatic, cool, and warm). The results revealed that the dynamic directed connectivity networks could be grouped into several quasi-stable states and the presence of common and unique brain states repetitive across frequency bands under individual conditions. A joint analysis of all conditions revealed that the temporal dynamics (coverage, mean duration, and state transition probability) differed significantly between the achromatic and colored conditions. Few dynamic brain states were shared between conditions and tended to remain in particular brain states for a longer duration in specific frequency bands. Our observations provided the first evidence of temporal dynamics of frequency-specific directed connectivity networks in the brain during multimedia learning tasks, that is, increased coverage of top-down interactions in the $\theta $ and $\alpha $ bands and switching between top-down and bottom-up interactions (information flow from anterior to posterior regions and vice versa) in the $\alpha $ band, in colored conditions compared to that of achromatic conditions. Therefore, these results suggest that several frequency-specific directed connectivity networks cooperate during knowledge acquisition and may change over time (from one state to another). The proposed framework captures the temporal dynamics of directed connectivity networks, and provides implications for monitoring and assessing emotional and cognitive processes in various contexts.
Comparison of the Effects between Tannins Extracted from Different Natural Plants on Growth Performance, Antioxidant Capacity, Immunity, and Intestinal Flora of Broiler Chickens

Simple Summary Tannins are widely found in natural plants and have a wide range of biological activities. Here, we compared the effects of different sources of tannins on broilers and found that tannins from different sources have their own unique properties, so each tannin can have a significant impact on the growth of broilers. Acacia mearnsii tannin extract has a positive effect on the nutrient absorption of broilers, which can increase the abundance of Lactobacillus in the intestine and enhance nutrient absorption; Castanea sativa tannin has excellent antioxidant and anti-inflammatory properties and can be used as immune enhancement additives, but it has no effect on the digestion and absorption capacity of broilers; both Schinopsis lorenzii tannin extract and Caesalpinia spinosa tannin extract have significant hepatoprotective effects, so these two tannins can be used for liver protection in broilers. Abstract In this study, four plant tannins, including AT (Acacia mearnsii tannin, 68%), CT (Castanea sativa tannin, 60%), QT (Schinopsis lorenzii tannin, 73%) and TT (Caesalpinia spinosa tannin, 50%) were added to broiler diets for 42 days to evaluate and compare their effects on growth performance, antioxidant capacity, immune performance and gut microbiota in broilers. The results showed that the supplementation of five tannins could increase the production of T-AOC, GSH-Px, SOD and CAT and reduce the production of MDA in the serum of broilers (p < 0.01), but the antioxidant effect of the AT group was lower than that of the other three groups (p < 0.01). All four tannins decreased the level of the pro-inflammatory factor IL-1β and increased the level of the anti-inflammatory factor IL-10 (p < 0.01). CT, QT and TT decreased the levels of pro-inflammatory factors IL-6 and TNF-α (p < 0.01), while AT and CT increased the level of IL-2 in serum (p < 0.01). Supplementation with four tannins also increased the levels of IgG, IgM, IgA and sIgA in serum (p < 0.01) and the levels of ZO-1, claudin-1 and occludin in the jejunum (p < 0.01). The detection results of ALT and AST showed that CT, QT and TT decreased the concentrations of ALT and AST in serum (p < 0.01). The results of the gut microbiota showed that the abundance of Clostridia and Subdoligranulum increased, and the abundance of Oscillospiraceae decreased, compared to the control group after adding the four tannins to the diets (p > 0.05). In addition, CT, QT and TT decreased the abundance of Lactobacillus and increased the abundance of Bacteroides compared to the control group, while AT showed the opposite result (p > 0.05). Overall, our study shows that tannins derived from different plants have their own unique effects on broilers. AT and CT can promote broilers’ growth better than other tannins, CT has the best ability to improve immune and antioxidant properties, and QT and TT have the best effect on broilers’ liver protection.
Compactness, Kinetic Formulation, and Entropies for a Problem Related to Micromagnetics

Abstract We carry on the study of (Rivière T, Serfaty S. Limiting domain wall energy for a problem related to micromagnetics. Comm Pure Appl Math 2001; 54(3):294–338. ) on the asymptotics of a family of energy-functionals related to micromagnetics. We prove compactness for families of uniformly bounded energies releasing the LBP condition we had previously set. Such families converge to unit-valued divergence-free vector-fields that are tangent to the boundary of the domain, and we found in (Rivière T, Serfaty S. Limiting domain wall energy for a problem related to micromagnetics. Comm Pure Appl Math 2001; 54(3):294–338. ) that the energy-functionals Γ-converge to a limiting jump-energy of such configurations. We examine the behavior of certain truncated fields which serve to construct “entropies,” and to provide an improved lower bound. We give a kinetic formulation of the problem, and show that the limiting divergence-free problem is supplemented, in the case of minimizers, with a sign condition which can in turn, using the kinetic formulation, be interpreted as an entropy condition that plays a role in uniqueness questions.
Kinetic/fluid micro-macro numerical schemes for Vlasov-Poisson-BGK equation using particles

This work is devoted to the numerical simulation of the Vlasov equation in the fluid limit using particles. To that purpose, we first perform a micro-macro decomposition as in [3] where asymptotic preserving schemes have been derived in the fluid limit. In [3], a uniform grid was used to approximate both the micro and the macro part of the full distribution function. Here, we modify this approach by using a particle approximation for the kinetic (micro) part, the fluid (macro) part being always discretized by standard finite volume schemes. There are many advantages in doing so: $(i)$ the so-obtained scheme presents a much less level of noise compared to the standard particle method; $(ii)$ the computational cost of the micro-macro model is reduced in the fluid regime since a small number of particles is needed for the micro part; $(iii)$ the scheme is asymptotic preserving in the sense that it is consistent with the kinetic equation in the rarefied regime and it degenerates into a uniformly (with respect to the Knudsen number) consistent (and deterministic) approximation of the limiting equation in the fluid regime.
Surgical strategy of laparoscopic partial nephrectomy: It is more suitable to use transperitoneal approach in anterior tumor patients and retroperitoneal approach in posterior tumor patients

Background Previous surgical strategy of transperitoneal laparoscopic partial nephrectomy (TLPN) and retroperitoneal laparoscopic partial nephrectomy (RLPN) for treatment of renal cell carcinoma (RCC) mainly depend on surgeons’ preference. The aim of this study was to evaluate whether performing TLPN for anterior tumors and RLPN for posterior tumors is a more beneficial strategy. Method 214 patients underwent TLPN or RLPN at our center were retrospectively collected and 1:1 matched for surgical approach, tumor complexity as well as operator. Baseline characteristics and perioperative outcomes were evaluated and compared, respectively. Result Regardless of tumor location, RLPN was associated with a faster operative time, a quicker time to first oral intake and hospital discharge compared to TLPN approach while other baseline and perioperative outcomes were comparable between groups. After taking tumor location into consideration, TLPN has an advantage in operating time (109.8 vs 115.3 mins, p = 0.03) and ischemic time (20.3 vs 24.1 mins, p = 0.001) for anterior tumor, while RLPN has an advantage in operating time (103.5 vs 116.3 mins, p<0.001), ischemic time (21.8 vs 24.8 mins, p = 7 0.001) and estimated blood loss (65.5 vs 85.4 ml, p = 0.01) for posterior tumor. Conclusion The selection of approach should be also dependent of the tumor location, instead of only dependent of surgeons’ experience or preference.
Factors associated with early child development in Nepal – A further analysis of multiple indicator cluster survey 2019

Introduction: Information on child development is limited in Nepal, where a large number of children suffer from the negative consequences of poverty, nutritional deficiencies, and inadequate learning opportunities. The study aims to determine the proportion of children developmentally on track and its associated factors among 2870 children under 5 years using data from Multiple Indicator Cluster Survey. Methods: We used bivariate analysis and multivariate logistic regression to determine the association among household and maternal variables and child characteristics with the Child Development Index. Results: The multivariate analysis showed that age, province, educational status, wealth index quintile, health insurance, stunting, and functional disability were associated with the Child Development Index (P < 0.05). The odds of child being developmentally on track at 4 years was more than two times (adjusted odds ratio [AOR] = 2; 95% confidence interval [CI]: 1.7–2.37) than of 3 years. Literate mothers had higher odds (AOR = 1.56 [95% CI: 1.29–1.89]) of child being developmentally on track compared to illiterate mothers. The odds of child being developmentally on track in the richest quintile was more than three times (AOR = 3.43 [95% CI: 2.39–4.91]) than child of the poorest quintile. With regard to stunting, there were higher odds of children who were not stunted (AOR = 1.35 [95% CI: 1.12–1.64]) being developmentally on track. Children who lack functional difficulty were more than six times (AOR = 6.7 [95% CI: 3.2–14.02]) on being developmentally on track. Children having health insurance were higher odds (AOR = 1.81 [95% CI: 1.04–3.15] P = 0.034) on being developmentally on track. Conclusion: The study found different factors such as age, province, educational status, wealth index quintile, health insurance, stunting, and functional disability associated with the Child Development Index providing insights to establish specific interventions based on socioeconomic barriers of household and health outcomes of children for ensuring child development.
World Assumptions and Coping Related to Trauma as Predictors of General Mental Health and Acute Stress Symptoms Among Iranian Muslims During the COVID-19 Outbreak

The COVID-19 outbreak is a new potentially traumatic event that may have some unknown effects on mental health. The aim of this study was to examine how two theoretical frameworks related to coping with trauma, including shattered assumptions and coping with trauma, could explain mental health and acute stress symptoms among the general population during the COVID-19 outbreak. The participants included 212 Iranian Muslims who filled out the online survey. Women and people with non-fixed jobs reported more mental health deterioration and acute stress symptoms. There were no significant differences between people with or without COVID-19 in terms of mental health symptoms, experiencing acute stress symptoms, and world assumptions. Results showed that world assumption and forward-focused coping could predict mental health symptoms and acute stress symptoms beyond COVID-19 specific stress. Assumptions related to the meaningfulness of the world and trauma-focused coping were associated with a higher score in general mental health symptoms and acute stress, but assumptions related to the benevolence of the world, self-worth, and forward-focused coping were associated with lower mental health and acute stress symptoms. This could suggest that world assumptions could buffer or endanger mental health during crises such as the pandemic. In addition, it seems that forward-focus coping is effective for managing new life challenges during the COVID-19 outbreak. In contrast, the more people address the negative and catastrophic effects of COVID-19 (such as trauma-focused coping), the more they are prone to developing mental health symptoms. This study showed that among Iranian Muslims, some world assumptions (for example, the meaningfulness of world) and some kinds of coping (for example, trauma-focused coping) were not as protective factor as in non-Muslim countries.
A restricted solid-on-solid model in higher dimensions

A restricted solid-on-solid growth model is studied in higher dimensions with a proper restriction parameter. The interface width W(t) is measured as a function of time t and the growth exponent β is estimated through the relation W(t) ∼ tβ on various dimensions from d = 5 + 1 to d = 11 + 1. Also, the roughness exponent α is obtained from the saturated interface width for both d = 5 + 1 and d = 6 + 1. Our numerical simulation results indicate that the upper critical dimension of the Kardar–Parisi–Zhang equation should be larger than d = 11 + 1.
Structural Significance of Hydrophobic and Hydrogen Bonding Interaction for Nanoscale Hybridization of Antiseptic Miramistin Molecules with Molybdenum Disulfide Monolayers

This paper reports an easy route to immobilize the antiseptic drug miramistin (MR) molecules between the sheets of molybdenum disulfide, known for excellent photothermal properties. Two hybrid layered compounds (LCs) with regularly alternating monolayers of MR and MoS2, differing in thickness of organic layer are prepared and studied by powder X-ray diffraction (PXRD), X-ray photoelectron spectroscopy (XPS), density functional theory (DFT) calculations and quantum theory of atoms in molecules (QTAIM) topological analysis. The obtained structural models elucidate the noncovalent interaction network of MR molecules confined in the two-dimensional spacing surrounded by sulfide sheets. It emerged that the characteristic folded geometry of MR molecule previously evidenced for pure miramistin is preserved in the hybrid structures. Quantification of the energetics of bonding interactions unveils that the most important contribution to structure stabilization of both compounds is provided by the weak but numerous CH…S bonding contacts. They are accompanied by the intra- and inter-molecular interactions within the MR layers, with dominating bonding effect of intermolecular hydrophobic interaction. The results obtained in the models provide a comprehensive understanding of the driving forces controlling the assembly of MR and MoS2 and may lead towards the development of novel promising MoS2-based photothermal therapeutic agents.
AI-Based Resource Allocation in End-to-End Network Slicing Under Demand and CSI Uncertainties

Network slicing (NwS) is one of the main technologies in the fifth-generation of mobile communication and beyond (5G+). One of the important challenges in the NwS is information uncertainty which mainly involves demand and channel state information (CSI). Demand uncertainty is divided into three types: number of users requests, amount of bandwidth, and requested virtual network functions workloads. Moreover, the CSI uncertainty is modeled by three methods: worst-case, probabilistic, and hybrid. In this paper, our goal is to maximize the utility of the infrastructure provider by exploiting deep reinforcement learning (DRL) algorithms in end-to-end NwS resource allocation under demand and CSI uncertainties. Enhanced mobile broadband (eMBB) requires high data rates. The uncertainties we argued above have a direct negative impact on the data rate and our objective function. Therefore, we focus primarily on eMBB. Additionally, we also consider ultra-reliable low latency communications (uRLLC) and massive machine-type communication (mMTC). The proposed formulation is a non-convex mixed-integer non-linear programming problem. To perform resource allocation in problems that involve uncertainty, we need a history of previous information. To this end, we use a recurrent deterministic policy gradient (RDPG) algorithm, a recurrent and memory-based approach in DRL. Then, we compare the RDPG method in different scenarios with soft actor-critic (SAC), deep deterministic policy gradient (DDPG), distributed, and greedy algorithms. The simulation results show that the SAC method is better than the DDPG, distributed, and greedy methods, respectively. Moreover, the RDPG method out performs the SAC approach on average by 70%.
Improvement of NO/sub X/ removal efficiency using short-width pulsed power

Pulsed power has been used to remove nitric oxide (NO) in a mixture of nitrogen, oxygen, and water vapor simulating the flue gases from a power station stack. The effect of the pulsewidth at a fixed applied voltage on NO removal concentration was studied. The dependence of the energy efficiency of the removal of NO at a fixed applied voltage on the pulsewidth, on the removal ratio of NO and on the discharge current was investigated. This removal energy efficiency increases with decreasing pulsewidth and decreasing removal ratio of NO.
Singular limit of differential systems with memory

We consider differential systems with memory terms, expressed by convolution integrals, which account for the past history of one or more variables. The aim of this work is to analyze the passage to the singular limit when the memory kernel collapses into a Dirac mass. In particular, we focus on the reaction-diffusion equation with memory, and we discuss the convergence of solutions on finite time-intervals. When enough dissipativity is present, we also establish convergence results of the global and the exponential attractors. Nonetheless, the techniques here devised are quite general, and suitable to be applied to a large variety of models.
Determination of Factors Influencing the Behavioral Intention to Play “Mobile Legends: Bang-Bang” during the COVID-19 Pandemic: Integrating UTAUT2 and System Usability Scale for a Sustainable E-Sport Business

The rise of mobile games during the COVID-19 pandemic era was evident, especially in Asia. One of the most popular online mobile games that has been evident across the world due to its live worldwide competition is “Mobile Legends: Bang Bang” (MLBB). This study aimed to determine factors influencing the behavioral intention to play MLBB by utilizing the integrated model of UTAUT2 and System Usability Scale (SUS). A total of 507 MLBB players voluntarily answered an online questionnaire that consisted of 69 items. Through convenience sampling, the online survey was collected from November 2021–January 2022 from different social media platforms. Several factors such as hedonic motivation, effort expectancy, performance expectancy, perceived usefulness, security, perceived usability, facilitating conditions, social influence, habit, behavioral intention, and SUS were considered in this study. Using Structural Equation Modeling (SEM), results showed that habit was the most significant factor in behavioral intention, followed by perceived usability, facilitating conditions, social influence, and hedonic motivation. In addition, it was evident from the results that when the mobile application is free and resources are available, then continuous patronage of the mobile application will be considered. In-game resources may be capitalized on by developers after gaining these habits and hedonic motivations among users. This is the first study that evaluated MLBB by utilizing the integrated models of UTAUT2 and SUS during the COVID-19 pandemic. The results of this study could be beneficial for developers to entice users for team play and entertainment-based mobile applications. Finally, the model considered may be extended and applied to other mobile applications worldwide.