Miracle-dz/UniFAR-FTUs huggingface dataset:
Current motion on faults of the San Andreas system in central California inferred from recent GPS and terrestrial survey measurements

The San Andreas fault system of California comprises dominantly right-lateral strike-slip faults and forms part of the Pacific-North American plate boundary. This fault system has been studied extensively using geological and geophysical methods since it was first brought into prominence by the 1906 M = 8(^1)(_4) San Francisco earthquake. Observations of surface deformation thought to define an earthquake deformation cycle have been inferred from terrestrial and space-based geodetic methods. The observed relative motion in these networks has also been used to constrain the distribution of motion across the plate boundary. Sites in three profiles extending across the fault system in the San Francisco bay region were measured up to 7 times between March 1990 and February 1993 using the Global Positioning System (GPS). The data were processed using the Bernese V3.2 software. The GPS data were combined with trilateration and VLBI data to create a spatially dense sample of the deformation field in the region. Approximately 35±3 mm/yr of fault-parallel (N33oW) shear is distributed across a deforming zone that increases in width northwards from 60 to 100 km and in style from fault-concentrated deformation in the south to near-linear trends in the north. No systematic convergence upon the fault is observed. Both two- and three-dimensional models of dislocations in an elastic half-space were used to model the deformation and to investigate the effects of structural complexities such as a low-rigidity fault zone, the depth to which surface creep extends, geometrical complexities of the fault system and along-strike variations in slip rate. The models produce a remarkably close fit to the deformation despite such a rheologically simple Earth structure. Approximately half of the observed deformation is accommodated along faults to the east of the San Andreas fault. A zone of concentrated deformation across the San Andreas fault zone in the north of the region may be the result of a 1-2 km wide low-rigidity fault zone there. Surface creep rates, although highly variable, appear to increase to the south. An increase in depth of the surface creep zone to the south may also accompany this. The variations in slip rate at depth along strike are consistent with connectivity between the major faults of the system. Quasi-steady slip on discrete fault planes or shear zones may occur down to 2-3 times the seismogenic depth and deformation rates are probably almost constant throughout much of the earthquake cycle. The present earthquake potential calculated from the estimated slip rates indicate that several fault segments may have an earthquake potential equivalent in magnitude to the "characteristic" earthquake assumed for that segment. The estimates of relative motion indicate that deformation across the San Andreas fault system, plus that observed to the east of the Sierra Nevada mountains, can account for all of the Pacific-North American plate motion rate.
A High PFC Integrated AC–DC Circuit With Inherent Lossless LCD Snubber

This research presents an isolated single-stage-single-switch integrated LED driver with high efficiency, high input power factor (IPF), and in compliance to the stringent IEC61000-3-2 and ENERGY STAR standards. The proposed integration combines the power factor correction (PFC) SEPIC and power control (PC) flyback converters. The flyback converter in the PC stage operates in discontinuous condition mode to achieve a higher IPF. The PFC stage consists of an inductor–capacitor–diode (LCD) which together functions as an inherent lossless snubber. The LCD clamps the peak voltage spike of the switch to a lower voltage during the switching transient. In addition, the inherent LCD snubber recycles the leakage inductance energy that is shared between the PFC stage and the load. The inherent snubber operation reduces the extra cost and space that would incur because of an additional auxiliary snubber circuit. Unlike a conventional ac–dc system with a snubber, the driver works in a nonresonant mode. The proposed system's operating principles, mathematical analysis, and theoretical conclusion are discussed. The simulation results are verified by using a 60-W/65-V hardware prototype. The proposed topology achieves an efficiency of 91.8% with an IPF of 0.995 with less than 5% input current harmonics.
Antibiotic-Resistant Strains of Helicobacter pylori in 50 Antibiotic Treatment-Naïve Children in Northeast Poland Diagnosed by Gastric or Duodenal Biopsy Between February 2019 and May 2022

Background In recent years, an increasing prevalence of Helicobacter pylori resistance to antibiotics has been observed. The aim of this study was to assess antibiotic resistance of Helicobacter pylori in previously untreated children from northeast Poland. Material/Methods Inclusion criteria comprised suspicion of Helicobacter pylori infection based on the presence of Helicobacter pylori antigen in the stool and/or characteristic macroscopic lesions seen on esophagogastroduodenoscopy. Samples of the gastric and/or duodenal mucosa were collected from 82 children with a median age of 13 years (range 3–17) during esophagogastroduodenoscopy between February 2019 and May 2022. The material was cultured, and positive Helicobacter pylori strains were tested for drug resistance to amoxicillin, metronidazole, and clarithromycin using the quantitative antibiotic concentration gradient stripe method E-test. Results Based on biopsy culture, Helicobacter pylori infection was confirmed in 50 (61%) children. Helicobacter pylori resistance was most common to clarithromycin (n=19; 38%), followed by metronidazole (n=15; 30%), and the least frequent to amoxicillin (n=13; 26%). The resistance to 1 antibiotic was found in 14 children (28%). Double-drug resistance was noted in 3 children (6%) and triple drug resistance in 9 children (18%). In the whole group, 24 children (48%) were susceptible to all 3 antibiotics. Conclusions In this study, conducted for the first time in treatment-naïve children in northeast Poland, we found a high proportion of Helicobacter pylori strains resistant to at least 1 antibiotic. Our results may help in the appropriate choice of antibiotics for treatment of Helicobacter pylori in our region.
Integrated Metabolome and Transcriptome Analyses Reveal Amino Acid Biosynthesis Mechanisms during the Physiological Maturity of Grains in Yunnan Hulled Wheat (Triticum aestivum ssp. yunnanense King)

Yunnan hulled wheat (YHW) possesses excellent nutritional characteristics; however, the precise amino acid (AA) composition, contents, and molecular mechanisms underlying AA biosynthesis in YHW grains remain unclear. In this study, we aimed to perform metabolomic and transcriptomic profiling to identify the composition and genetic factors regulating AA biosynthesis during the physiological maturation of grains of two YHW genotypes, Yunmai and Dikemail, with high and low grain protein contents, respectively. A total of 40 and 14 differentially accumulated amino acids (AAs) or AA derivatives were identified between the waxy grain (WG) and mature grain (MG) phenological stages of Yunmai and Dikemail, respectively. The AA composition differed between WG and MG, and the abundance of AAs—especially that of essential AAs—was significantly higher in WG than in MG (only 38.74–58.26% of WG). Transcriptome analysis revealed differential regulation of structural genes associated with the relatively higher accumulation of AAs in WG. Weighted gene co-expression network analysis and correlation analyses of WG and MG indicated differences in the expression of clusters of genes encoding both upstream elements of AA biosynthesis and enzymes that are directly involved in AA synthesis. The expression of these genes directly impacted the synthesis of various AAs. Together, these results contribute to our understanding of the mechanism of AA biosynthesis during the different developmental stages of grains and provide a foundation for further research to improve the nutritional value of wheat products.
Psychological features of physical perfectionism in personality

The article examines the psychological features of physical perfectionism in personality. Physical perfectionism refers to a system of personal beliefs and attitudes related to one's physical appearance: heightened preoccupation with one's appearance and the pursuit of high body standards, striving for the best results in the pursuit of an ideal figure, as well as a pathological attitude towards any critical remarks about one's appearance. The formation of the «I-physical image» is influenced by socio-psychological factors and represents a dual process. On the one hand, it is the influence of society expressed in judgments, thoughts, perceptions, stereotypes, and ideals. On the other hand, it is the independent reflection and awareness of one's own criteria of body significance. The aim of the study is to determine the individual psychological characteristics of individuals with different levels of physical perfectionism. The object of study is the physical perfectionism of personality. The following methods were chosen to achieve the goal: theoretical-methodological analysis, psychodiagnostic, and mathematical-statistical methods. The psychodiagnostic complex consisted of the methods: «Physical Perfectionism Scale» and «I - Structural Test of the Ammon». The main task was to study the psychological characteristics of individuals with different levels of physical perfectionism. The conducted correlation analysis allowed us to identify significant relationships between indicators of physical perfectionism and indicators of «I-functions». Using the «axes» method, two groups of individuals with high and low levels of physical perfectionism were selected from the general group. In order to identify individual psychological characteristics, a qualitative analysis of property profiles in the corresponding groups was carried out. The obtained results of our study allow providing a psychological characterization of individuals who differ in the level of physical perfectionism and considering them as individuals endowed with a complex of personality traits that accompany a set of pronounced «I-functions».
Exploring Teachers' Knowledge and Practices of Self-Regulated Learning: A Case Study in China

This paper reports the knowledge and practice of self-regulation of English teachers in public primary and secondary schools in South-East China. The data were collected from multiple classroom observations of and in-depth interviews with two English language teachers working in Chinese schools. This study reported that despite limited knowledge of Self-regulated learning teachers’ classroom practices reflected an extensive use of SRL strategies positively impacting students’ learning engagment. However, the workload and the traditional grade-focused assessment systems influenced teachers’ consideration of self and their students’ learning motivation, metacognition, and cognition. These findings indicate a need to strengthen English teachers’ metacognition, cognition and motivational-emotional regulation to support student learning.
How Strategic Organizational Competency Contributes to the Development of Organizational Intelligence?

The knowledge that organizations possess, produce, and acquire adds to their strategic competency and intelligence. Organizations develop intelligence from practice and learning by doing. There is a definite relationship that exists between organizational learning and productivity that contributes to the development of organizational intelligence. Organizational intelligence is of difference kinds, but almost all of them develop from organizational actions and learning that includes but are not restricted to gaining market information, consumer interactions, business communications, creating new products and services, managing actions, solving emerging problems, etc. Intelligence is the ability to comprehend things or immediate situations and act rationally and according to what the situation demands. In this paper, we examine on what respect organizational intelligence positively relates to organizational competency, and how intelligence help develop strategic competency which adds to their advantage and makes them more robust. We find using a theoretical model that the development of organizational intelligence confers competitive strength to an organization, and contributes to the overall development of higher productivity and organizational competence.
Gut microbial change after administration of Lacticaseibacillus paracasei AO356 is associated with anti-obesity in a mouse model

Introduction The status of an impaired gut microbial community, known as dysbiosis, is associated with metabolic diseases such as obesity and insulin resistance. The use of probiotics has been considered an effective approach for the treatment and prevention of obesity and related gut microbial dysbiosis. The anti-obesity effect of Lacticaseibacillus paracasei AO356 was recently reported. However, the effect of L. paracasei AO356 on the gut microbiota has not yet been identified. This study aimed to elucidate the effect of L. paracasei AO356 on gut microbiota and ensure its safety for use as a probiotic. Methods Oral administration of L. paracasei AO356 (107 colony-forming units [CFU]/mg per day, 5 days a week, for 10 weeks) to mice fed a high-fat diet significantly suppressed weight gain and fat mass. We investigated the composition of gut microbiota and explored its association with obesity-related markers. Results Oral administration of L. paracasei AO356 significantly changed the gut microbiota and modified the relative abundance of Lactobacillus, Bacteroides, and Oscillospira. Bacteroides and Oscillospira were significantly related to the lipid metabolism pathway and obesity-related markers. We also confirmed the safety of L. paracasei AO356 using antibiotics resistance, hemolysis activity, bile salt hydrolase activity, lactate production, and toxicity tests following the safety assessment guidelines of the Ministry of Food and Drug Safety (MFDS). Discussion This study demonstrated that L. paracasei AO356 is not only associated with an anti-obesity effect but also with changes in the gut microbiota and metabolic pathways related to obesity. Furthermore, the overall safety assessment seen in this study could increase the potential use of new probiotic materials with anti-obesity effects.
Krill Oil’s Protective Benefits against Ultraviolet B-Induced Skin Photoaging in Hairless Mice and In Vitro Experiments

Krill oil (KO) shows promise as a natural marine-derived ingredient for improving skin health. This study investigated its antioxidant, anti-inflammatory, anti-wrinkle, and moisturizing effects on skin cells and UVB-induced skin photoaging in hairless mice. In vitro assays on HDF, HaCaT, and B16/F10 cells, as well as in vivo experiments on 60 hairless mice were conducted. A cell viability assay, diphenyl-1-picryhydrazyl (DPPH) radical scavenging activity test, elastase inhibition assay, procollagen content test, MMP-1 inhibition test, and hyaluronan production assay were used to experiment on in vitro cell models. Mice received oral KO administration (100, 200, or 400 mg/kg) once a day for 15 weeks and UVB radiation three times a week. L-Ascorbic acid (L-AA) was orally administered at 100 mg/kg once daily for 15 weeks, starting from the initial ultraviolet B (UVB) exposures. L-AA administration followed each UVB session (0.18 J/cm2) after one hour. In vitro, KO significantly countered UVB-induced oxidative stress, reduced wrinkles, and prevented skin water loss by enhancing collagen and hyaluronic synthesis. In vivo, all KO dosages showed dose-dependent inhibition of oxidative stress-induced inflammatory photoaging-related skin changes. Skin mRNA expressions for hyaluronan synthesis and collagen synthesis genes also increased dose-dependently after KO treatment. Histopathological analysis confirmed that krill oil (KO) ameliorated the damage caused by UVB-irradiated skin tissues. The results imply that KO could potentially act as a positive measure in diminishing UVB-triggered skin photoaging and address various skin issues like wrinkles and moisturization when taken as a dietary supplement.
The Potential Protective Role of Folic Acid against Acetaminophen-Induced Hepatotoxicity and Nephrotoxicity in Rats FOLIC ACID AGAINST ACETAMINOPHEN TOXICITY

Folic acid (FA), is a group B vitamin, has high reactive oxygen radicals quenching ability, resulting in protection against oxidative damage in aerobic cell. Acetaminophen (N-acetyl-p-aminophenol, APAP) is a nonsteroidal anti-inflammatory drug, and can promote oxidative damage in liver and kidney tissues. The aim of this study was to investigate whether folic acid has protective effects on oxidative liver and kidney injury caused by experimental APAP toxication. Forty female Sprague dawley rats were divided into 5 groups; control, APAP, FA, APAP+FA, and APAP+N-acetylcysteine (NAC) groups. APAP toxication was induced by oral gavage (3 g/kg bodyweight). FA (20 mg/kg bodyweight) and NAC (150 mg/kg bodyweight) were given by oral gavage to the specified groups. Oxidant and antioxidant parameter were determined in liver and kidney tissues. In addition, the liver and kidney tissues were histological evaluated. When compared with APAP group, superoxide dismutase (SOD) and catalase activities and glutathione levels were statistically higher, malondialdehyde (MDA) level and myeloperoxidase activity (except liver tissue) were statistically lower in both APAP+FA and APAP+NAC. Liver and kidney MDA level and kidney SOD activity were significantly lower in APAP+NAC group compared with APAP+FA group. Co-administration of NAC with APAP was found to provide protection, but hepatic cords were defective in some places and some glomerular tubules also had dilatation. Necrotic areas was reduced in the liver and the glomerular structure was in good condition in the APAP+FA group. As a result, FA might have a protective effect against APAP-induced hepato-nephrotoxicity and oxidative stress in rat.
Self-potential chenges associated with volcanic activity: Short-term signals associated with March 9, 1998 eruption on La Fournaise volcano (Reunion Island)

After six years of quietness La Fournaise volcano entered into activity on March 9, 1998. Fissures opened gradually downwards on the northern flank of the cone. Two cones, Kapor and Krafft built, from which lava poured until September 1998. Several other vents opened during this eruption. Mappings, surveys, and continuous recordings of the Self-Potential have been performed on the volcano for twenty years. SP mappings disclose the variability of large scale SP anomalies due to the modification of the hydrothermal system over some ten years. Most of the eruptions take place along a Main Fracture Zone (MFZ) in which ground water flows prevail. SP measurements have also regularly been made on the northern flank of the cone, on a west-east profile crossing the MFZ. Between 1981 and 1992 an enlargement and a shift of the MFZ to the east are evidenced. In particular, the eastern fissural axis trending N35°E could be related to the possible collapse of the east flank of the volcano. After a decrease between 1992 and 1997, the SP anomaly was enhanced again by the 1998 eruption. Short scale, about 250 m wide, 750 mV amplitude anomalies were superimposed on a large scale one, 2500 m wide, and about 250 mV in amplitude. For several years, continuous stations have been measuring the electric field along two directions, with a 20 s sampling, in order to record the genesis of SP signals associated with the volcanic activity. Oscillations belonging to the ULF band were evidenced several days before the 1988 eruption, some of them at 9 km from the summit. Their amplitude reached several tens mV/km. These oscillations sometimes present a phase lag from one station to another; they progressively shift towards the location of the future effusive vents. The polarisation of the oscillations is similar to the polarisation of longer SP variations (1 h period or more) and are correlated with the structural anisotropy. Finally, during the last hours preceding the effusive activity, huge SP signals, up to a few Volts/km, appeared at the stations located on the MFZ, and especially on the branch where the magma migrated. We interpret these SP signals as due to electrokinetic effects generated by fluid flow in cracks opened by the stress field changes.
Design and Implementation of an Atrial Fibrillation Detection Algorithm on the ARM Cortex-M4 Microcontroller

At present, a medium-level microcontroller is capable of performing edge computing and can handle the computation of neural network kernel functions. This makes it possible to implement a complete end-to-end solution incorporating signal acquisition, digital signal processing, and machine learning for the classification of cardiac arrhythmias on a small wearable device. In this work, we describe the design and implementation of several classifiers for atrial fibrillation detection on a general-purpose ARM Cortex-M4 microcontroller. We used the CMSIS-DSP library, which supports Naïve Bayes and Support Vector Machine classifiers, with different kernel functions. We also developed Python scripts to automatically transfer the Python model (trained in Scikit-learn) to the C environment. To train and evaluate the models, we used part of the data from the PhysioNet/Computing in Cardiology Challenge 2020 and performed simple classification of atrial fibrillation based on heart-rate irregularity. The performance of the classifiers was tested on a general-purpose ARM Cortex-M4 microcontroller (STM32WB55RG). Our study reveals that among the tested classifiers, the SVM classifier with RBF kernel function achieves the highest accuracy of 96.9%, sensitivity of 98.4%, and specificity of 95.8%. The execution time of this classifier was 720 μs per recording. We also discuss the advantages of moving computing tasks to edge devices, including increased power efficiency of the system, improved patient data privacy and security, and reduced overall system operation costs. In addition, we highlight a problem with false-positive detection and unclear significance of device-detected atrial fibrillation.
Understanding the Spatiotemporal Impacts of the Built Environment on Different Types of Metro Ridership: A Case Study in Wuhan, China

As the backbone of passenger transportation in many large cities around the world, it is particularly important to explore the association between the built environment and metro ridership to promote the construction of smart cities. Although a large number of studies have explored the association between the built environment and metro ridership, they have rarely considered the spatial and temporal heterogeneity between metro ridership and the built environment. Based on metro smartcard data, this study used EM clustering to classify metro stations into five clusters based on the spatiotemporal travel characteristics of the ridership at metro stations. And the GBDT model in machine learning was used to explore the nonlinear association between the built environment and the ridership of different types of stations during four periods in a day (morning peak, noon, evening peak, and night). The results confirm the obvious spatial heterogeneity of the built environment’s impact on the ridership of different types of stations, as well as the obvious temporal heterogeneity of the impact on stations of the same type. In addition, almost all built environment factors have complex nonlinear effects on metro ridership and exhibit obvious threshold effects. It is worth noting that these findings will help the correct decisions be made in constructing land use measures that are compatible with metro functions in smart cities.