Miracle-dz/UniFAR-FTUs huggingface dataset:
The CFD modeling of two-dimensional turbulent MHD channel flow

In this paper, influence of magnetic field on turbulence characteristics of twodimensional flow is investigated. The present study has been undertaken to understand the effects of a magnetic field on mean velocities and turbulence parameters in turbulent 2-D channel flow. Several cases are considered. First laminar flow in a channel and MHD laminar channel flow are analyzed in order to validate model of magnetic field influence on electrically conducting fluid flow. Main part of the paper is focused on MHD turbulence suppression for 2-D turbulent flow in a channel and around the flat plate. The simulations are performed using ANSYS CFX software. Simulations results are obtained with BSL Reynolds stress model for turbulent and MHD turbulent flow around flat plate. The nature of the flow has been examined through distribution of mean velocities, turbulent fluctuations, vorticity, Reynolds stresses and turbulent kinetic energy.
Dynamics of a Stochastic Fractional Reaction-Diffusion Equation

In this paper, we study the dynamics of a stochastic fractional reaction-diﬀusion equation with multiplicative noise in three spatial dimension. By proving the well-posedness and conducting a priori estimates for the solutions of the considered equation we obtain simultaneously the existence and the regularity of random attractors of the random dynamical systems for the equation. The main approach here is to establish an abstract result on existence of bi-spatial random attractors for random dynamical systems. Moreover, we also give estimate of the Hausdorﬀ dimension in L 2 space for the obtained random attractor.
Case report: Cheek acupuncture exhibits an immediate effect in relieving severe pain associated with nerve compression or damage of central nervous system and its potential mechanism of action

Peripheral nerve compression or permanent damage of central nervous system (CNS) can trigger severe neuralgia to patients. Analgesic medicine or even surgery to remove nerve compression is commonly used for pain relief. But these treatments either are ineffective, have side-effect or can cause subsequent complications. Acupuncture, a technique that has been widely used in China and other Asian countries for thousands of years, is an alternative to relieve pain, although the mechanism of action is not fully understood. In this study, two patients who had symptoms of severe neuralgia associated with peripheral nerve compression or permanent damage/dysfunction of CNS and analgesic medicines are ineffective, underwent cheek acupuncture, a new technique established recent years by the author with the features of painless, standardization, simplicity, and precision. An immediate analgesic effect of the cheek acupuncture was observed without any side effects, and clinical remission was achieved after several sessions of treatments. It suggests that this new approach is an efficient alternative for pain relief induced by nerve impairment. The authors proposed a biological holographic model of triplet homunculi existing at the level of the local cheek, spinal cord, and cerebral cortex, to explain the immediate and accurate analgesic effect of the cheek acupuncture. These homunculi have the same structure, and synchronized sensations and actions that are mediated by afferent and efferent neurons, as the integrated human body. Therefore, the nociception and needling signals are sensed, transmitted, analyzed, and manipulated cooperatively and simultaneously among these homunculi with the subsequent pain relief in the body.
Analysis of the structure of the atomized fuel spray with marine diesel engine injector in the early stage of injection

This paper presents the results of the experimental research of the atomized fuel spray with the marine diesel engine injector in the constant volume chamber. The specificity of the phenomena occurring in the marine engine cylinder was the reason to use the optical visualisation method in the studies – the Mie scattering technique. This work presents an analysis of the influence of different geometry of outlet orifice and opening pressures of marine diesel injector on the macrostructure of the fuel spray. In the results, it was observed that the increased L/D ratio of the outlet orifice of the injector caused: an increase in the spray cone angle and a decrease in the spray tip penetration in the early stage of injection. Furthermore, it was defined that the characteristic of spray tip penetration over time was power, whereas the spray cone angle over time was a logarithmic function.
EBIO: An Efficient Block I/O Stack for NVMe SSDs With Mixed Workloads

With the advent of high-performance nonvolatile memory express (NVMe) SSD, the overhead caused by the storage software stack becomes a significant bottleneck for exploiting the potential of NVMe SSD. Recent I/O isolation approaches eliminate CPU switching, I/O interference, and lock contention for I/O queues by pinning I/O threads in isolated and dedicated I/O paths. However, they degrade the overall performance of mixed workloads with heterogeneous I/O demands. The I/O-intensive workloads issue multiple I/O requests and quickly fill up their dedicated I/O queues, resulting in I/O wait. On the contrary, the non-I/O-intensive workloads cannot deliver enough I/O requests to saturate their associated I/O queues. Moreover, frequent allocations and deallocations of I/O request objects expose a significant overhead for I/O-intensive workloads. In this article, we propose EBIO, an efficient block I/O stack for NVMe SSD, to improve the overall performance of mixed workloads. EBIO contains an on-demand queue management strategy (ODQM) and a reusable I/O management strategy (RERM). Specifically, ODQM eliminates I/O wait by dynamically adding queues for I/O-intensive workloads and leverages I/O generation time to guarantee strong sequential consistency and fairness in scheduling I/O requests. RERM reduces the overhead caused by repeatedly allocating I/O request objects for I/O-intensive workloads by reusing the allocated objects. Experimental results show that, compared to the state-of-the-art approaches, EBIO improves input/output operations per second by up to 16.44% and reduces I/O latency by up to 32.76%.
ALGAE CAROTENOID PIGMENTS AS NEW SOURCES OF HALAL BIOACTIVE INGREDIENTS

Halal Active Pharmaceutical Ingredient (API) is a substance used in a finished pharmaceutical product, intended to furnish pharmacological activity or contribute direct effect in the diagnosis, cure, mitigation, treatment or prevention of disease. It also provides a direct effect in restoring, correcting or modifying physiological functions in human beings. Microalgae, which are single-celled microorganisms, are considered to be a rich source of diverse bioactive molecules. They play a vital role in the aquatic food chain as primary producers and can store complex organic compounds in their bodies, which can be released with the help of sunlight. Microalgae have evolved distinctive metabolic pathways, resulting in the production of remarkable secondary metabolites and unique structures that differ from those found in superior plants. Due to the high structural diversity of pigments, microalgae have the potential to produce pharmacologically valuable compounds, making them a promising source of bioactive molecules. This study aimed to examine the carotenoids pigmentation profiling from selected microalgae species subjected to different culture conditions. The methods involve are microalgae cell culture mass production, carotenoid sample extraction and HPLC analysis. The findings revealed that the composition and amount of carotenoids differ according to the microalgae species. Genetic factors appear to be a crucial factor in categorizing these species based on their individual carotenoids accumulation. In short, selecting the appropriate species with the ability to accumulate carotenoids is important in determining the sources of pigments for halal bioactive ingredients or for commercial purposes, particularly in the halal market.
Radial Motion in a Gravitational Potential According to Mass Equivalence and Energy Conservation

The radial behavior of a particle in a gravitational potential according to special relativity is described considering the equivalence of inertial and gravitational mass with a conservative energy. The radial velocity of a particle falling from rest contains a term, in addition to that expected classically, which would appear to weaken the effect of gravity at high velocities. The result for the radial acceleration is that the masses of all falling objects eventually become entirely kinematic with a speed reaching the speed of light at one-half the Schwarzschild radius. The analysis supports a formulation for gravity that is Lorentz covariant and is compared with the general relativity, which contains a similar additional term to low-order approximation which predicts an even greater effect.
Flow Cytometry: The Next Revolution

Unmasking the subtleties of the immune system requires both a comprehensive knowledge base and the ability to interrogate that system with intimate sensitivity. That task, to a considerable extent, has been handled by an iterative expansion in flow cytometry methods, both in technological capability and also in accompanying advances in informatics. As the field of fluorescence-based cytomics matured, it reached a technological barrier at around 30 parameter analyses, which stalled the field until spectral flow cytometry created a fundamental transformation that will likely lead to the potential of 100 simultaneous parameter analyses within a few years. The simultaneous advance in informatics has now become a watershed moment for the field as it competes with mature systematic approaches such as genomics and proteomics, allowing cytomics to take a seat at the multi-omics table. In addition, recent technological advances try to combine the speed of flow systems with other detection methods, in addition to fluorescence alone, which will make flow-based instruments even more indispensable in any biological laboratory. This paper outlines current approaches in cell analysis and detection methods, discusses traditional and microfluidic sorting approaches as well as next-generation instruments, and provides an early look at future opportunities that are likely to arise.
Physiological and Psychological Effects of Medically Supervised Fasting in Young Female Adults: An Observational Study

Background Large-scale empirical and observational studies confirm the safety and efficacy of short-term intermittent fasting; however, prolonged fasting (fasting for more than two days or more) is not well studied. This study investigated the safety, physiological, and psychological effects of a medically supervised fasting (MSF) regimen on healthy volunteers. Methods In this observational study, 117 female participants with an average age of 21.02 (± 1.45) years underwent 10 days of medically supervised fasting. Daily symptom scores and 24-hour food recalls were collected, along with serum levels of vitamin D and calcium, a complete blood count, anthropometric measurements, quality of life (QoL), and subjective mood, anxiety, and depression scores, at the baseline and at the end of fasting. Results Compared to baseline, significant improvements were observed in vitamin D levels (z = -8.79, p = 0.000), calcium levels (z = -4.08, p = 0.000), red blood cell count (z = -4.61, p = 0.000), and hemoglobin levels (z = -5.57, p = 0.00). Improvements were observed in physical QOL (t (116) = -4.51, p = 0.000); psychological QOL (t (116) = -4.70, p = 0.000); and social QOL (t (116) = -2.68, p = 0.008). We also observed significant reductions in body weight (55.83 (±11.38), 52.99 (±10.94); p = 0.00) and other anthropometric measures. More than 80% (n = 94) experienced at least one symptom associated with fasting. The symptoms associated with fasting changed significantly (p<0.05), with most symptoms peaking from day 3 to day 7 of fasting with remission from day 8 onwards. Conclusion Our findings suggest that MSF is associated with significant improvements in physiological and psychological variables. The symptoms associated with MSF are to be considered in clinical decision-making, and follow-up of patients on fasting therapy, particularly during the peaking of symptoms, may be warranted.
Slowing Extrusion Tectonics and Accelerated Uplift of Northern Tibet Since the Mid‐Miocene

Mechanisms of northern Tibet crustal thickening are strongly debated. Here we present a high‐resolution and continuous record (24–4.8 Ma) of anisotropy of magnetic susceptibility and paleomagnetic declination from the Dahonggou section in the northern Qaidam Basin, northern Tibet. Our results reveal two major clockwise rotations of the regional paleostress field at ∼15 Ma (∼20°) and ∼8.4 Ma (∼15°), coeval with episodes of mountain building and basin deformation in northern Tibet. We suggest that simultaneous stress field rotation and uplift observed in the study area are related to progressively slowing lateral‐extrusion tectonics along boundary‐parallel strike‐slip faults (Altyn Tagh and Haiyuan faults). The 15 Ma event can be explained by the transition from northeastward to eastward extrusion of northern Tibet materials due to the obstruction of the rigid Alxa block. As deformation keeps migrating toward the east, the 8 Ma event is possibly related to a change from eastward to southeastward extrusion of northeastern Tibet materials as a result of the resistance of the rigid Ordos block. We conclude that Tibetan deformation evolved through successive stages of slowing extrusion tectonics since the mid‐Miocene. Deformation was initially localized along pre‐existing lithospheric structures, and subsequently more distributed under confining boundary conditions, leading to crustal thickening and uniform uplift of northern Tibet during the late stage of plateau development.
A wedge trust region method with self-correcting geometry for derivative-free optimization

Recently, some methods for solving optimization problems without derivatives have been proposed. The main part of these methods is to form a suitable model function that can be minimized for obtaining a new iterative point. An important strategy is geometry-improving iteration for a good model, which needs a lot of calculations. Besides, Marazzi and Nocedal (2002) proposed a wedge trust region method for derivative free optimization. In this paper, we propose a new self-correcting geometry procedure with less computational efforts, and combine it with the wedge trust region method. The global convergence of new algorithm is established. The limited numerical experiments show that the new algorithm is efficient and competitive.
Surface Acoustic Wave Humidity Sensor Based on Flake-Like Nanodiamond-Chitosan Composite Sensitive Film

A surface acoustic wave (SAW) relative humidity (RH) sensor based on flake-like nanodiamond-chitosan (ND-CS) composite film was prepared. Flake-like NDs were uniformly dispersed into the CS and combined with the CS by hydrogen bonding. The abundant hydrophilic groups of both ND and CS are beneficial for the adsorption of water molecules. The obtained humidity sensor exhibits good linear response under wide RH range of 10%–90% with a tiny humidity hysteresis of 3.9%. The sensitivity of the sensor is −4.93 kHz/% for the adsorption process and −4.83 kHz/% for the desorption process. The short response time of 17.6 s and recovery time of 5.2 s are obtained when the RH switches between 10% and 70%. Meanwhile, the prepared ND-CS-coated SAW sensor also shows excellent repeatability, long-time stability, temperature stability, and selectivity.
Random Noise Attenuation of Seismic Data via Self-Supervised Bayesian Deep Learning

Random noise attenuation is a crucial task in seismic data processing, which can not only improve the signal-to-noise ratio (SNR) of seismic data but also facilitate accurate geological interpretation. Recently, deep learning (DL) has emerged as a powerful technique for seismic data noise suppression. However, most of the related works are based on supervised learning. To reduce the cost and complexity of constructing noise-free seismic data as training labels, this study focuses on a self-supervised DL method with the dropout strategy. By considering the Bayesian deep network, our proposed approach trains a denoising network with random weights, which predicts the noise-free seismic data from noisy seismic data. The experimental results of synthetic and field data illustrate the superiority and robustness of the self-supervised Bayesian neural network (BNN) model for seismic data denoising. Compared with the traditional denoising schemes and several state-of-the-art DL models, our method can effectively enhance the lateral continuity of seismic events and preserve the geological structure information while improving the SNR. We believe that this provides a solid foundation for the subsequent seismic data processing and interpretation.
Characterization of Liners using a Lattice-Boltzmann Solver

Acoustic liners are widely used as noise suppression devices, for example in aircraft engines. The effectiveness of the liners is measured through the impedance. In the present study, using a lattice-Boltzmann solver, the response of two liner geometries to grazing acoustic waves is examined. The two geometries have porosity equal to 0.99% and 6.89%, respectively. Impedance is computed using the traditional in-situ method. The results from the simulation are validated against previous experimental data, DNS data and predictions from semi-empirical models. Results show agreement with these reference data, allowing to use the computational setup for further analysis with a realistic liner configuration in the presence of a grazing flow.
Accident victim characteristics and identification of key parameters for compensation in Indian context

ABSTRACT Road accidents generate substantial personal and national losses. Road accidents reduce victims' and their families' productivity, which slows the nation's economic growth. The victim or victim's heir must be compensated for the mishap's losses. It is important to understand traffic accident victims' concerns before calculating and rewarding a suitable compensation. This study examines traffic accident victims' issues. In this paper, the interviews were conducted in two phases: a pilot survey of seven experts and 38 victims/relatives of victims, based on their opinions, the questionnaire was revised, and the final interviews were conducted in the second phase, which included 126 road accident victims and 27 expert interviews. This paper summarises the results of the second phase along with its statistical interpretations. This paper also emphasises traffic accident victims' debilitation and daily issues. Government and local authorities often announce compensation, although they rarely consider a victim's socioeconomic situation. The arbitrarily set amount may provide immediate relief, but it ignores traffic accident victims' socio-demographics. This study will highlight those aspects that will enable policymakers quickly and efficiently decide remuneration for each individual.
The Smoothing FR Conjugate Gradient Method for Solving a Kind of Nonsmooth Optimization Problem with -Norm

We study the method for solving a kind of nonsmooth optimization problems with -norm, which is widely used in the problem of compressed sensing, image processing, and some related optimization problems with wide application background in engineering technology. Transformated by the absolute value equations, this kind of nonsmooth optimization problem is rewritten as a general unconstrained optimization problem, and the transformed problem is solved by a smoothing FR conjugate gradient method. Finally, the numerical experiments show the effectiveness of the given smoothing FR conjugate gradient method.
Low 5-Stars at 5-Vertices in 3-Polytopes with Minimum Degree 5 and No Vertices of Degree from 7 to 9

Abstract In 1940, Lebesgue gave an approximate description of the neighborhoods of 5-vertices in the class P5 of 3-polytopes with minimum degree 5. Given a 3-polytope P, by h5(P) we denote the minimum of the maximum degrees (height) of the neighborhoods of 5-vertices (minor 5-stars) in P. Recently, Borodin, Ivanova and Jensen showed that if a polytope P in P5 is allowed to have a 5-vertex adjacent to two 5-vertices and two more vertices of degree at most 6, called a (5, 5, 6, 6, ∞)-vertex, then h5(P) can be arbitrarily large. Therefore, we consider the subclass P*5 of 3-polytopes in P5 that avoid (5, 5, 6, 6, ∞)-vertices. For each P*in P*5 without vertices of degree from 7 to 9, it follows from Lebesgue’s Theorem that h5(P*) ≤ 17. Recently, this bound was lowered by Borodin, Ivanova, and Kazak to the sharp bound h5(P*) ≤ 15 assuming the absence of vertices of degree from 7 to 11 in P*. In this note, we extend the bound h5(P*) ≤ 15 to all P*s without vertices of degree from 7 to 9.
Conserved energies for the cubic nonlinear Schrödinger equation in one dimension

Author(s): Koch, Herbert; Tataru, Daniel | Abstract: We consider the cubic Nonlinear Schr quot;odinger Equation (NLS) as well as the modified Korteweg-de Vries (mKdV) equation in one space dimension. We prove that for each $sg-\frac12$ there exists a conserved energy which is equivalent to the $H^s$ norm of the solution. For the Korteweg-de Vries (KdV) equation there is a similar conserved energy for every $s\ge -1$.
A novel cellular factor of Nicotiana benthamiana susceptibility to tobamovirus infection

Viral infection, which entails synthesis of viral proteins and active reproduction of the viral genome, effects significant changes in the functions of many intracellular systems in plants. Along with these processes, a virus has to suppress cellular defense to create favorable conditions for its successful systemic spread in a plant. The virus exploits various cellular factors of a permissive host modulating its metabolism as well as local and systemic transport of macromolecules and photoassimilates. The Nicotiana benthamiana stress-induced gene encoding Kunitz peptidase inhibitor-like protein (KPILP) has recently been shown to be involved in chloroplast retrograde signaling regulation and stimulation of intercellular transport of macromolecules. In this paper we demonstrate the key role of KPILP in the development of tobamovius infection. Systemic infection of N. benthamiana plants with tobacco mosaic virus (TMV) or the closely related crucifer-infecting tobamovirus (crTMV) induces a drastic increase in KPILP mRNA accumulation. KPILP knockdown significantly reduces the efficiency of TMV and crTMV intercellular transport and reproduction. Plants with KPILP silencing become partially resistant to tobamovirus infection. Therefore, KPILP could be regarded as a novel proviral factor in the development of TMV and crTMV infection in N. benthamiana plants.
Antecedentes da intenção de adoção de Fintechs no Brasil

O objetivo foi investigar os antecedentes da intenção de adoção dos serviços de Fintechs no Brasil. Considerando o pressuposto de aceitação ao risco pelos clientes, o modelo teórico indicou as relações entre confiança, benefício percebido e intenção dos clientes. Os dados, coletados por survey, foram analisados por modelo de equações estruturais. Os resultados indicaram que a confiança e a benefício percebido influenciam positivamente a intenção de adoção dos serviços de Fintechs e que há uma relação de mediação parcial da confiança na relação de benefício percebido e intenção. Assim, embora haja um mercado em ainda a ser explorado para as empresas desse setor, os resultados indicam que a confiança é fator relevante na equação expansão dos serviços das Fintechs.