Miracle-dz/UniFAR-FTUs huggingface dataset:
Microseismic Observation Enabled by High-Sensitivity Micromechanical Interferometers

High-sensitivity accelerometry has historically been employed to explore Earth sciences and advance resource-related industries, such as petroleum exploitation. The devices capable of such measurements, however, traditionally involve precise mechanical structures and consequent large dimensions. In this article, combined by micromechanical systems and grating-assisted interferometry, a closed-loop optical accelerometer with nano-g (ng) sensitivity is developed for microseismic observations. In order to lower the intrinsic thermal noise, a modified 8.84-Hz micromechanical spring–mass oscillator is designed and fabricated. Additionally, an active control system is equipped to stabilize the device temperature, and thus, enhance the low-frequency stability. Field tests demonstrate that the prototype has achieved a scale factor of 1195 V/g, along with a dynamic range of 1.12 mg and a bandwidth of about 7 Hz. Further, under the controlled 45 <inline-formula><tex-math notation="LaTeX">$\pm$</tex-math></inline-formula> 0.01<inline-formula><tex-math notation="LaTeX">$^{\circ }$</tex-math></inline-formula>C temperature condition, complete terrestrial microsesimic peaks from 0.1 to 3 Hz are tracked. After calibration by a reference seismometer, the device self-noise is determined as 2 ng/<inline-formula><tex-math notation="LaTeX">$\sqrt{\text{Hz}}$</tex-math></inline-formula> from 0.2 to 4 Hz with a bias stability of 7.9 ng. The transducer and control circuits are both packaged within a 13.6 cm × 13.6 cm × 12.8 cm insulated enclosure, making it advantageous for outdoor observations.
ECPR for prolonged Pediatric Cardiac Arrest, an outcome without major neurological compromise

Pediatric in-hospital cardiac arrest (IHCA) has been reported in 1–3% of pediatric intensive care unit (ICU) admissions and up to 6% of children admissions to the cardiac ICU. In the last 25 years, the survival to hospital discharge after pediatric IHCA has improved from 9% to 13.7% up to 35%. The improvement in outcomes was attributed in part to the application of ECMO as a rescue strategy when prolonged conventional CPR cannot restore spontaneous circulation. We report a case of a 4-month-old patient with a history of ventricular and septal defects, with left to right shunt and enlargement of left heart chambers that underwent surgery for the closure of the atrial and septal defects, and experienced complications that led to the use of ECMO in response to a prolonged cardiac arrest.
Natural convection in a porous medium at high Rayleigh numbers. I: Darcy's model

Simulation numerique de la convection naturelle dans une cavite poreuse bidimensionnelle a l'aide des equations de conservation d'energie et de masse et de la loi lineaire de Darcy. Resolution du systeme d'equations a l'aide d'une methode pseudo-spectrale basee sur des fonctions de Fourier
Can we infer the Initial Mass Function of galaxies at z ~ 2?

Abstract Recent studies show increasing evidence for the possibility of the Initial Mass Function (IMF) of galaxies to vary as a function of numerous physical parameters. These studies mainly focus on the low redshift galaxies (at z≤0.1) and is not backed by any studies at higher redshifts. Using MOSFIRE data from KECK, we use the Hα Equivalent-Width (EW) as a proxy for the IMF to study in situ IMF of galaxies at z ~ 2. In this proceedings we focus on the underlying physics of this method and present our initial findings. More work is needed to interpret the results accurately and will be presented in our future papers.
Size effects in a thin ferroelastic rod

ABSTRACT The system of differential equations is derived on the base of the classical theory of elasticity and the phenomenological Landau theory, describing the phase transition in a long thin rod of the rectangular profile. The solution of this system by the Fourier method allowed determining the phase transition temperature in the ferroelastic state as a function of a size l, a profile shape and an extrapolation length. The presence of a maximum in the dependence of on l at the ultra-small size of the profile is revealed. It was found that the value of the maximum increases with increasing in the extrapolation length and shifts to smaller sizes. The critical dimensions of the profile, below which a transition to ferroelastic phase is impossible, are calculated depending on the extrapolation length.
effect of acute caffeine ingestion on physical performance in elite European competitive soccer match-play

The present study examined the effect of acute caffeine ingestion (150 mg) on the physical performance of elite European soccer players during official competitive match-play. The current investigation was a parallel-group design that collated data from a cohort of 19 male outfield players from an elite European soccer team (mean ± SD, age 26 ± 4 years; weight 80.5 ± 8.1 kg; height 1.83 ± 0.07 m; body-fat 10.8 ± 0.7%). Players were classified and matched by position and grouped accordingly: centre defender (CD) n = 5, wide defender (WD) n = 3, centre midfield (CM) n = 7, wide forward (WF) n = 2, and centre forward (CF) n = 2. For all performance variables, the mean values were compared in caffeine consumers vs. non consumers using independent-sample t-tests, with significance set at p < . 05. Cohen’s d was used to quantify the effect size, and was interpreted as trivial (<0.2), small (0.2-0.5), medium (0.5-0.8), and large (>0.8). For all examined variables, there were trivial or small non-significant (p > .05) trivial or small differences between caffeine consumers and non-consumers. The findings of the present research did not confirm the study hypothesis, once running and accelerometry-based variables did not improve with the caffeine ingestion of 150 mg. Therefore, the caffeine supplement used in this study is not suggested for improving performance in the variables analysed.
Management Guidelines for Maintenance Services to be Success in to the Industrial

The number of entrepreneurs in the maintenance business continues to increase, and the number of entrepreneurs who lose performance tends to increase steadily every year. The purpose of this research was to study the approaches for successful management of maintenance services in the industrial sector with qualitative research by using in-depth interviews. For quantitative research, a survey was conducted with a questionnaire from business owners or chief executives of the maintenance service business in the industrial sector, which earned profit three years continuously in a total of 500 industries, by using descriptive statistics, reference statistics, and multiple statistics. The results found that guidelines for the successful management of maintenance services in the industrial sector, which are important, can be divided into four components as follows:1) Data Insight aspect, and 2) The aspect of holding the alliance as the center. 3) Innovation and technology and 4) service aspect. It was found that Medium to Small businesses were sized, giving importance to the successful management of maintenance services in the industrial sector. The difference was statistically significant at the level of 0.05. The results of the analysis of the developed structural equation model were found to pass the assessment criteria, which is consistent with the empirical data, with a chi-square probability value of 0.133, a relative chi-square value of 1.065, a consistency index of 0.933, and a root mean square index of the error estimate was 0.011. The study discusses the importance of training and education to ensure the successful implementation of any new technologies or procedures. It also examines the role of communication and collaboration between maintenance teams and other departments in ensuring that everyone is on the same page. The findings of this study can provide valuable insights for industrial maintenance teams, enabling them to increase their efficiency and reduce costs.
A Novel Method for Land Vehicle Positioning: Invariant Kalman Filters and Deep-Learning-Based Radar Speed Estimation

Autonomous and intelligent vehicles are multi-sensor systems operating in various environments and conditions. Due to their characteristics, inertial measurement units (IMUs) are typically the core component of such systems. However, these sensors rapidly accumulate errors due to biases and noise, degrading the positioning solution. Therefore, this article presents a positioning solution that only uses three gyroscopes and one radar. The proposed method was tested using low-cost sensors in different scenarios, such as open-sky, urban and indoor areas. The key components of the method are the invariant Kalman filters and the use of deep neural networks to estimate the forward speed of the car using the radar readings. The method was tested on a custom dataset, and our integrated solution accurately estimates the vehicle's position, velocity, and orientation. We achieved, on average, a $1.45\%$ translational error in the tested scenarios, making the proposed method a robust alternative to current IMU-based positioning methods.
Cosmic ray modulation and radiation dose of aircrews during the solar cycle 24/25

Weak solar activity and high cosmic ray flux during the coming solar cycle are qualitatively anticipated by the recent observations that show the decline in the solar activity levels. We predict the cosmic ray modulation and resultant radiation exposure at flight altitude by using the time‐dependent and three‐dimensional model of the cosmic ray modulation. Our galactic cosmic ray (GCR) model is based on the variations of the solar wind speed, the strength of the heliospheric magnetic field, and the tilt angle of the heliospheric current sheet. We reproduce the 22 year variation of the cosmic ray modulation from 1980 to 2015 taking into account the gradient‐curvature drift motion of GCRs. The energy spectra of GCR protons obtained by our model show good agreement with the observations by the Balloon‐borne Experiment with a Superconducting magnetic rigidity Spectrometer (BESS) and the Payload for Antimatter Matter Exploration and Light‐nuclei Astrophysics (PAMELA) except for a discrepancy at the solar maximum. Five‐year annual radiation dose around the solar minimum at the solar cycle 24/25 will be approximately 19% higher than that in the last cycle. This is caused by the charge sign dependence of the cosmic ray modulation, such as the flattop profiles in a positive polarity.
Water filter application with zeolit composite material in laying hens farm towards the egg quality

This study aimed to analyze the physical, chemical, and microbiological properties of applying an antibacterial water filter made from zeolite composites in laying hens. This study used a completely randomized design with a factorial pattern with 2 factors and 3 replications for egg quality. Factor A is the zeolite treatment, and factor B is the day of egg collection after being filtered. If the measures show a significant difference, it is continued with the least significant difference test, and the chemical quali-ty of the eggs and the microbiology of the eggs are tested using the t-test analysis (paired samples). The results showed that there was a significant interaction between the zeolite treatment and the day after the filter was installed after the eggs were collected. This increases the value of egg length, egg width, shell weight, shell thickness, and haugh units. Furthermore, the chemical quality of eggs treated with zeolite alone on day 3 had a significant effect (P<0.05) on the dry matter and egg fat content . The microbiological quality of the eggs also showed that the zeolite treatment reduced the TPC value and effectively killed Escherichia coli and Salmonella sp. It was concluded that the application of zeolite filters to the drinking water of laying hens could improve physical quality, maintain chemical quality, and is effective as an antibacterial against bacterial populations, Escherichia coli and Salmonella sp bacteria in eggs.
Increasing the satisfaction with the Integrated System for Academic Activity Management: prioritizing improvements with a structural equations model

This research aims to identify improvements for the Integrated System for Academic Activity Management (SIGAA) based on the main factors that affect user satisfaction with academic information systems. The study presents the structural equations model and importance-performance analysis as a basis for improving system requirements. this research is exploratory and quantitative through the modeling of structural equations. A questionnaire was used to collect data, and the total sample size was 153 people. The results revealed that the most important variables to explain user satisfaction were information quality (30.33%), system quality (21.77%), and perceived benefits (21.61%). Thus, user satisfaction was explained 72.5% by the proposed structural model. The results achieved help improve the university information system. The importance of performance analysis pointed out indicated the priority of actions to be taken, and the mapping of processes presented possibilities of increasing requirements to increase the satisfaction of the system's users.
Parametric instability of thick doubly curved CNT reinforced composite sandwich panels under in-plane periodic loads using higher-order shear deformation theory

This paper focuses on the problem of parametrically excited doubly curved sandwich shells with carbon nanotubes reinforced composite (CNTRC) facesheets subjected to in-plane periodic load. The panels consist of cylindrical and spherical shells modeled using QUAD-8 element which was developed using higher-order shear flexible theory. The formulation considers the secondary effects such as the influence of in-plane and rotary inertia terms, and the aerodynamic pressure when the panel is exposed to air flow. The governing equations developed are solved based on eigenvalue approach. The limits of the principal instability zone predicted here are graphically represented using excitation frequencies against the load amplitudes. The results of this study are tested against the available solutions in the literature. A detailed study considering various design parameters including structural theories on the dynamic instability boundaries and its associated origin of instability regions is conducted. These parameters include the CNT volume content, thermal environment, aspect ratio, thickness ratio of core and facesheet, and radius of curvature.
Dynamic properties of III–V polytypes from density-functional theory

The recently discovered hexagonal wurtzite phase of several III–V nanowires opens up strong opportunity to engineer optoelectronic and transport properties of III–V materials. Herein, we explore the dynamical and dielectric properties of cubic (3C) and wurtzite (2H) III–V compounds (AlP, AlAs, AlSb, GaP, GaAs, GaSb, InP, InAs, and InSb). For cubic III–V compounds, our calculated phonon frequencies agree well with neutron diffraction and Raman-scattering measurements. In the case of 2H III–V materials, our calculated phonon modes at the zone-center Γ point are in distinguished agreement with available Raman-spectroscopy measurements of wurtzite GaAs, InP, GaP, and InAs nanowires. Particularly, the “fingerprint” of the wurtzite phase, which is our predicted E2(high) phonon mode, at 261 cm−1(GaAs), 308 cm−1(InP), 358 cm−1(GaP), and 214 cm−1(InAs) matches perfectly the respective Raman values of 258 cm−1, 306.4 cm−1, 353 cm−1, and 213.7 cm−1 for GaAs, InP, GaP, and InAs. Moreover, the dynamic charges and high.
Complete study of the existence and uniqueness of solutions for semilinear elliptic equations involving measures concentrated on boundary

The purpose of this paper is to study the weak solutions of the fractional elliptic problem (Section.Display) where , or , with is the fractional Laplacian defined in the principle value sense, is a bounded open set in with , is a bounded Radon measure supported in and is defined in the distribution sense, i.e. here denotes the unit inward normal vector at . In this paper, we prove that (0.1) with admits a unique weak solution when g is a continuous nondecreasing function satisfying Our interest then is to analyse the properties of weak solution when with , including the asymptotic behaviour near and the limit of weak solutions as . Furthermore, we show the optimality of the critical value in a certain sense, by proving the non-existence of weak solutions when . The final part of this article is devoted to the study of existence for positive weak solutions to (0.1) when and is a bounded nonnegative Radon measure supported in . We employ the Schauder’s fixed point theorem to obtain positive solution under the hypothesis that g is a continuous function satisfying -pagination
Constraint-preserving labeled graph transformations for topology-based geometric modeling

As labeled graphs are particularly well adapted to represent objects in the context of topology-based geometric modeling, graph transformation theory is an adequate framework to implement modeling operations and check their consistency. In this article, objects are defined as a particular subclass of labeled graphs in which arc labels encode their topological structure (i.e. cell subdivision: vertex, edge, face, etc.) and node labels encode their embedding (i.e. relevant data: vertex positions, face colors, volume density, etc.). Object consistency is therefore defined by labeling constraints which must be preserved along modeling operations that modify topology and/or embedding. In this article, we define a class of graph transformation rules dedicated to embedding computations. Dedicated graph transformation variables allow us to access the existing embedding from the underlying topological structure (e.g. collecting all the points of a face) in order to compute the new embedding using user-provided functions (e.g. compute the barycenter of several points). To ensure the safety of the defined operations, we provide syntactic conditions on rules that preserve the object consistency constraints.
Sulfonated Polyphenylene-Based Multiblock Membranes with Fluorine Moiety for Fuel Cell Applications

Sulfonated poly(phenylene-co-arylene ether sulfone) multiblock copolymers are synthesized via Colon’s nickel-mediated cross-coupling reaction and are investigated as a proton-exchange membrane fuel cell. To investigate the influence of the fluorine moieties on the membrane properties, two different membranes are prepared, one containing a fluorinated hydrophobic poly(arylene ether) block (6F polymer membrane) and a nonfluorinated biphenyl (BP) polymer membrane. The proton transport, morphology, mechanical properties, and oxidative stabilities of the membranes are examined in relation to the ion-exchange capacity (IEC). 6F polymer membranes show superior proton conductivity and oxidative stability (results of Fenton’s oxidative stability and hydrogen peroxide exposure tests) compared with the BP polymer membranes. In water at 25°C, 6F and BP polymer membranes with IEC 2.0 meq g–1 exhibit proton conductivity of 0.11 S cm–1 with 6F having 16% lower water uptake than BP polymer. Meanwhile, at 30% RH and 80°C, 6F-X5Y9-(2.0) exhibits proton conductivity of 0.0026 S cm–1 that almost 50% higher than BP-X5Y7-(2.0) with 0.0018 S cm–1, while at 90% RH and 80°C, both polymers have an almost similar value of 0.10 S cm–1. Oxidative stability with the Fenton test under harsh conditions demonstrates that 6F-X5Y9-(2.0) has an extent degradation of 26%, almost 19% lower than BP-X5Y7-(2.0) with 32%, and the hydrogen peroxide exposure test demonstrates that 6F has 50% lower extent of degradation than BP with 5 and 9%, respectively. Fuel cell performance test at 80°C and 100% RH show that 6F-X5Y9-(2.0) exhibits a current density of 1.6 A cm–2 at 0.6 V (hydrogen/air) and outperforms Nafion-NR211 and BP-X5Y7-(2.0), 1.4 A cm–2 and 1.2 A cm–2, respectively. Undoubtedly, incorporating fluorinated moieties could enhance proton transport properties and oxidative stability favorable for fuel cell application.
Determinants of use of government credit cards in the work unit of the ministry of public works and public housing in DKI Jakarta

This research aims to find out the determinants of the use of government credit cards (KKP) in the work unit of the Ministry of public works and public housing in DKI Jakarta. This type of explanatory quantitative research with a unit of analysis of individual government employees who work in the Work Unit at the Ministry of PUPR who uses KKP in their daily work activities. Researchers distributed questionnaires to employees who used KKP in their daily work activities at the PUPR Ministry work unit. The number of respondents was 110 and analyzed using the PLS-SEM method with SmartPLS 4 software. The results of the study proved that performance expectancy, effort expectancy, and social influence had a positive effect on behavioral intention and facilitating conditions and behavioral intention had a positive effect on user behavior, while perceived financial cost had no effect negative on behavior intention. The conclusion that can be drawn is that the UTAUT model can explain the determinants of the use of KKP within the scope of the Ministry of PUPR work units domiciled in DKI Jakarta.
Influence of Bias Correcting Predictors on Statistical Downscaling Models

AbstractStatistical downscaling models (SDMs) and bias correction (BC) methods are commonly used to provide regional or debiased climate projections. However, most SDMs are utilized in a “perfect prognosis” context, meaning that they are calibrated on reanalysis predictors before being applied to GCM simulations. If the latter are biased, SDMs might suffer from discrepancies with observations and therefore provide unrealistic projections. It is then necessary to study the influence of applying bias correcting to large-scale predictors for SDMs, since it can have impacts on the local-scale simulations: such an investigation for daily temperature and precipitation is the goal of this study. Hence, four temperature and three precipitation SDMs are calibrated over a historical period. First, the SDMs are forced by historical predictors from two GCMs, corrected or not corrected. The two types of simulations are compared with reanalysis-driven SDM outputs to characterize the quality of the simulations. Second, .
Translated from Russian by

2. In the present Basics, the Arctic zone of the Russian Federation means a part of the Arctic which includes, in full or in part, the territories of the Republic of Sakha (Yakutia), Murmansk and Arkhangelsk provinces, Krasnoyarsk territory, Nenets, Yamal-Nenets and Chukchi autonomous districts, established by the decision of the State Commission of the Council of Ministers of the USSR on Arctic affairs of April 22, 1989, and also areas and islands specified in the Decision of the Presidium of the Central Executive Committee of the USSR of April 15, 1926 «On the announcement of areas and islands located in the Arctic Ocean as the territory of the USSR», and the internal maritime waters, territorial sea, exclusive economic zone and continental shelf of the Russian Federation adjoining to such territories, areas and islands, within which Russia enjoys sovereign rights and jurisdiction under international law.