Miracle-dz/UniFAR-FTUs huggingface dataset:
miR-100-5p Regulates Skeletal Muscle Myogenesis through the Trib2/mTOR/S6K Signaling Pathway

MicroRNAs (miRNAs) are endogenous small non-coding RNAs that play crucial regulatory roles in many biological processes, including the growth and development of skeletal muscle. miRNA-100-5p is often associated with tumor cell proliferation and migration. This study aimed to uncover the regulatory mechanism of miRNA-100-5p in myogenesis. In our study, we found that the miRNA-100-5p expression level was significantly higher in muscle tissue than in other tissues in pigs. Functionally, this study shows that miR-100-5p overexpression significantly promotes the proliferation and inhibits the differentiation of C2C12 myoblasts, whereas miR-100-5p inhibition results in the opposite effects. Bioinformatic analysis predicted that Trib2 has potential binding sites for miR-100-5p at the 3′UTR region. A dual-luciferase assay, qRT-qPCR, and Western blot confirmed that Trib2 is a target gene of miR-100-5p. We further explored the function of Trib2 in myogenesis and found that Trib2 knockdown markedly facilitated proliferation but suppressed the differentiation of C2C12 myoblasts, which is contrary to the effects of miR-100-5p. In addition, co-transfection experiments demonstrated that Trib2 knockdown could attenuate the effects of miR-100-5p inhibition on C2C12 myoblasts differentiation. In terms of the molecular mechanism, miR-100-5p suppressed C2C12 myoblasts differentiation by inactivating the mTOR/S6K signaling pathway. Taken together, our study results indicate that miR-100-5p regulates skeletal muscle myogenesis through the Trib2/mTOR/S6K signaling pathway.
The Preventative Knowledge and Experience of Anesthesiology Students with C-arm Fluoroscopy

Objective: Long-term C-arm fluoroscopy exposes medical personnel to substantial radiation doses. Preventing this exposure requires protective equipment and radiation safety. This study examined anesthesia students' using fluoroscopy and preventive knowledge. Methods: This descriptive and cross-sectional study included 139 Vocational High School Anesthesia students. The "Healthcare Professional Knowledge of Radiation Protection" scale and a 13-question survey collected data. The scale was designed with a Likert scale and three sub-factors. If the total and sub-dimension item average score of the scale is below 5, it indicates that the level of knowledge of radiation protection among medical personnel is low, and if it is above 5, it indicates that the level of knowledge is high. Results: More than half of the students (59.8%) heard the radiation from the fluoroscopy device, the vast majority (82.7%) did not receive radiation protection training, 58.3% stayed away from the device while it was operating, and 70.5% stated that it is crucial to stay away from the device while it was operating. It was determined that there was a statistically significant difference (p<0.05) in the "Radiation Physics, Biology, and Radiation Usage Principles" sub-dimension of students who were male, in their second year of education, received radiation protection training, and offered reliable answers to a number of questions measuring their level of radiation knowledge. In addition, the research revealed a positive and highly significant correlation between the scale and its subdimensions. Conclusion: Although the scale scores of the students who received radiation protection training and had a high level of radiation knowledge were substantially higher than those of the other students, the average score of the students was less than 5. This indicates that students have an inadequate understanding of radiation protection. To prevent the negative biological effects of radiation on the human body, it is necessary to conduct epidemiological research, educate health care professionals and anesthesiology students about the effects and processes of this radiation on human cells, and provide frequent training. Radiation, radiation's biological effects, and radiation protection should be included in health students' curricula.
Biocompatible and Biodegradable 3D Printing from Bioplastics: A Review

There has been a lot of interest in developing and producing biodegradable polymers to address the current environmental problem caused by the continued usage of synthetic polymers derived from petroleum products. Bioplastics have been identified as a possible alternative to the use of conventional plastics since they are biodegradable and/or derived from renewable resources. Additive manufacturing, also referred to as 3D printing, is a field of growing interest and can contribute towards a sustainable and circular economy. The manufacturing technology also provides a wide material selection with design flexibility increasing its usage in the manufacture of parts from bioplastics. With this material flexibility, efforts have been directed towards developing 3D printing filaments from bioplastics such as Poly (lactic acid) to substitute the common fossil- based conventional plastic filaments such as Acrylonitrile butadiene styrene. Plant biomass is now utilized in the development of biocomposite materials. A lot of literature presents work done toward improving the biodegradability of printing filaments. However, additive manufacture of biocomposites from plant biomass is faced with printing challenges such as warping, low agglomeration between layers and poor mechanical properties of the printed parts. The aim of this paper is to review the technology of 3D printing using bioplastics, study the materials that have been utilized in this technology and how challenges of working with biocomposites in additive manufacture have been addressed.
Prevalence, Risk Factors and Antibiotic Susceptibility of Urinary Tract Infections among Pregnant Women: A Study in Damt District Yemen

Urinary tract infections are the most common illnesses that impact pregnant women. This study aimed to investigate bacterial urinary tract infections and antibiotic susceptibility profiles in pregnant women. This study was conducted on pregnant women between April and October 2021 in clinics and hospitals in the Damt district. Midstream urine samples were collected, cultured, identified and tested for antibiotic susceptibility. The prevalence of UTI in pregnant women was 210/350 (60%). Escherichia coli accounted for 90/210 (42.9%), Staphylococcus aureus 50/210 (23.8%), and Klebsiella pneumoniae 25/210 (11.9%). Staphylococcus epidermidis, Pseudomonas aeruginosa, and Proteus mirabilis exhibited 15/210 (7.1%) of each with the moderately identified bacterial species. Antimicrobial sensitivity testing showed that bacterial isolates were resistant to amoxicillin (80-100%), ceftriaxone (40-70%), gentamycin (0-60%), amikacin (0-50%), tetracycline, ciprofloxacin, azithromycin, and amoxiclav (0-40%), and azithromycin (0-30%). Significant bacteriuria was associated with age (p = 0.01), pregnancy trimesters (p = 0.00), gestation (p = 0.00), and residence (p = 0.03), whereas there was no association with education (p = 0.05). Most isolates have become resistant toward antibiotic used in the study treatments, especially ceftriaxone and amoxicillin. Therefore, it is recommended that pregnant women undergo health education on the prevalence and causes of urinary tract infections.
A NEW CHARACTERIZATION OF THE NORMAL DISTRIBUTION AND TEST FOR NORMALITY

We study the asymptotic covariance function of the sample mean and quantile, and derive a new and surprising characterization of the normal distribution: the asymptotic covariance between the sample mean and quantile is constant across all quantiles, if and only if the underlying distribution is normal. This is a powerful result and facilitates statistical inference. Utilizing this result, we develop a new omnibus test for normality based on the quantile-mean covariance process. Compared to existing normality tests, the proposed testing procedure has several important attractive features. Monte Carlo evidence shows that the proposed test possesses good finite sample properties. In addition to the formal test, we suggest a graphical procedure that is easy to implement and visualize in practice. Finally, we illustrate the use of the suggested techniques with an application to stock return datasets.
Ordered groupoids and etendues

Kock et Moerdijk ont montre que chaque etendue est engendree par un site dont tout morphisme est monic. Dans cet article nous donnons une caracterisation alternative des etendues en termes de groupoides ordonnes. Specifiquement, nous definissons un site d'Ehresmann comme etant un groupoide ordonne muni de ce que nous nommons une 'topologie d'Ehresmann' - c'est essentiellement une famille d'ideaux pour l'ordre, stable par conjugaison - et de cette facon nous pouvons definir la notion de faisceau sur un site d'Ehresmann. Notre resultat principal est que chaque etendue est equivalente a la categorie des faisceaux sur un site d'Ehresmann approprie.
Antioxidant Efficacy of Green-Synthesized Silver Nanoparticles Promotes Wound Healing in Mice

Developing an efficient and cost-effective wound-healing substance to treat wounds and regenerate skin is desperately needed in the current world. Antioxidant substances are gaining interest in wound healing, and green-synthesized silver nanoparticles have drawn considerable attention in biomedical applications due to their efficient, cost-effective, and non-toxic nature. The present study evaluated in vivo wound healing and antioxidant activities of silver nanoparticles from Azadirachta indica (AAgNPs) and Catharanthus roseus (CAgNPs) leaf extracts in BALB/c mice. We found rapid wound healing, higher collagen deposition, and increased DNA and protein content in AAgNPs- and CAgNPs (1% w/w)-treated wounds than in control and vehicle control wounds. Skin antioxidant enzyme activities (SOD, catalase, GPx, GR) were significantly (p < 0.05) increased after 11 days CAgNPs and AAgNPs treatment. Furthermore, the topical application of CAgNPs and AAgNPs tends to suppress lipid peroxidation in wounded skin samples. Histopathological images evidenced decreased scar width, epithelium restoration, fine collagen deposition, and fewer inflammatory cells in CAgNPs and AAgNPs applied wounds. In vitro, the free radical scavenging activity of CAgNPs and AAgNPs was demonstrated by DPPH and ABTS radical scavenging assays. Our findings suggest that silver nanoparticles prepared from C. roseus and A. indica leaf extracts increased antioxidant status and improved the wound-healing process in mice. Therefore, these silver nanoparticles could be potential natural antioxidants to treat wounds.
S 2 − $\mathrm{S}_{2}^{-}$ and S 3 − $\mathrm{S}_{3}^{-}$ radicals and the S 4 2 − $\mathrm{S}_{4}^{2-}$ polysulfide ion in lazurite, haüyne, and synthetic ultramarine blue revealed by resonance Raman spectroscopy

Abstract Taking advantage of the Raman resonance effect, we employed 405 and 532 nm excitations to (1) identify sulfur species present in lazurite, haüyne, and synthetic ultramarine blue pigments and (2) investigate the enigmatic ~485 cm–1 band found previously in Raman spectra of lazurite and haüyne collected with 458 nm excitation. In spectra of lazurite and haüyne, bands of the sulfate ion and S 2 − a n d S 3 − $\mathrm{S}_{2}^{-}\, {\rm and} \,\mathrm{S}_{3}^{-}$radicals can be seen. Spectra collected using 405 nm excitation show the enhancement of the intensity of v 1 S 2 − $v_{1}\left( {\rm S}_{2}^{-}\right)$band and its nν1 (n ≤ 7) progression. Spectra collected using 532 nm incident light show the enhancement of intensity of v 1 S 3 − , v 2 S 3 − , and v 3 S 3 − $v_{1}\left(\mathrm{~S}_{3}^{-}\right), v_{2}\left(\mathrm{~S}_{3}^{-}\right) \text {, and } v_{3}\left(\mathrm{~S}_{3}^{-}\right)$bands and the nν1 (n ≤ 9) and ν2 + nν1 progressions of the v 1 S 3 − $v_{1}\left(\mathrm{~S}_{3}^{-}\right)$band. In spectra collected with 405 nm excitation, we also found features that we ascribe to the S 4 2 − $\mathrm{S}_{4}^{2-}$polysulfide ion. These include the ν1 symmetric S-S stretching band at ~481 cm–1, the ν2 symmetric S-S stretching band at ~443 cm–1 (only present in spectra of some lazurite samples), the ν3 symmetric S-S bending at 223 cm–1 and the nν1 (n ≤ 5) and nν1+ν3 progressions of the v 1 S 4 2 − $v_{1}\left(\mathrm{~S}_{4}^{2-}\right)$band. We observed that under laser illumination, the S 4 2 − $\mathrm{S}_{4}^{2-}$ polysulfide ion rapidly decomposes into two S 2 − $\mathrm{S}_{2}^{-}$radicals in lazurite while it remains stable in haüyne. In spectra of synthetic ultramarine blue pigments, only features of S 2 − a n d S 3 − $\mathrm{S}_{2}^{-}\, {\rm and} \,\mathrm{S}_{3}^{-}$radicals were observed. Finally, we verified the identity of the radical and polysulfide ions with ab initio molecular dynamics calculations. We conclude that Raman resonance spectroscopy is a powerful qualitative method to detect polysulfide and sulfur radical species with concentrations below the detection limit of conventional analytical techniques. Owing to the high stability of S 4 2 − $\mathrm{S}_{4}^{2-}$in haüyne, this mineral structure appears promising as a host material for S 4 2 − $\mathrm{S}_{4}^{2-}$entrapment, making it potentially useful for applications in optoelectronics.
A Planar Disk Electrode Chip Based on MWCNT/CS/Pb2+ Ionophore IV Nanomaterial Membrane for Trace Level Pb2+ Detection

Unlike conventional lead ion (Pb2+) detecting methods, electrochemical methods have the attractive advantages of rapid response, good portability and high sensitivity. In this paper, a planar disk electrode modified by multiwalled carbon nanotube (MWCNTs)/chitosan (CS)/lead (Pb2+) ionophore IV nanomaterial and its matched system are proposed. This system presented a good linear relationship between the concentration of Pb2+ ions and the peak current in differential pulse stripping voltammetry (DPSV), under optimized conditions of −0.8 V deposition potential, 5.5 pH value, 240 s deposition time, performed sensitive detection of Pb2+ within sensitivity of 1.811 μA · μg−1 and detection limit of 0.08 μg · L−1. Meanwhile, the results of the system in detecting lead ions in real seawater samples are highly similar to that of inductively coupled plasma emission spectrometer (ICP-MS), which proved a practicability for the system in detection of trace-level Pb2+.
Cosmological Neutrino N-Body Simulations of Dark Matter Halo

The study of massive neutrinos and their interactions is a critical aspect of contemporary cosmology. Recent advances in parallel computation and high-performance computing provide new opportunities for accurately constraining Large-Scale Structures (LSS). In this paper, we introduce the TianNu cosmological N-body simulation during the co-evolution of massive neutrino and cold dark matter components via the CUBEP3M code running on the supercomputer Tianhe-2 and TianNu’s connected works. We start by analyzing 2.537×107 dark halos from the scientific data of TianNu simulation, and compare their angular momentum with the matched halos from neutrino-free TianZero, revealing a dependence of angular momentum modulus on neutrino injection at scales below 50 Mpc and around 10 Mpc.
Reliability and validity of neuropsychological test battery for the elderly

Objective To determine the reliability and validity of the neuropsychological test battery for the elderly (NTBE). Methods The split-half reliability, internal consistency reliability, test-retest reliability and inter-rater reliability of NTBE system were evaluated. A factor analysis procedure was used to explore the factor structure of NTBE. The criterion-related validity was evaluated via the correlation between NTBE and mini-mental status examination (MMSE). Results The test-retested reliability of the NTBE subtests ranged from 0.64 to 0.916, and its split-half reliability was 0.85. The Pearson's correlation coefficient of the NTBE subtests ranged from 0.102 to 0.416. Factor analysis revealed that 6 initial eigenvalues could explain 61.38% of total square. Significant correlations were found between NTBE and MMSE. Conclusions The NTBE might be served as a good psychometric system for older patients, with sufficient reliability and validity.
On-Chip E00–E20 Mode Converter Based on Multi-Mode Interferometer

Mode converters is a key component in mode-division multiplexing (MDM) systems, which plays a key role in signal processing and multi-mode conversion. In this paper, we propose an MMI-based mode converter on 2%-Δ silica PLC platform. The converter transfers E00 mode to E20 mode with high fabrication tolerance and large bandwidth. The experimental results show that the conversion efficiency can exceed −1.741 dB with the wavelength range of 1500 nm to 1600 nm. The measured conversion efficiency of the mode converter can reach −0.614 dB at 1550 nm. Moreover, the degradation of conversion efficiency is less than 0.713 dB under the deviation of multimode waveguide length and phase shifter width at 1550 nm. The proposed broadband mode converter with high fabrication tolerance is promising for on-chip optical network and commercial applications.
Effects of a mastitis J5 bacterin vaccination on the productive performance of dairy cows: an observational study using propensity score matching techniques.

Inferring causal effects between variables when utilizing observational data is challenging due to confounding factors not controlled through a randomized experiment. Propensity score matching can decrease confounding in observational studies and offers insights about potential causal effects of prophylactic management interventions such as vaccinations. The objective of this study was to determine potential causality and impact of vaccination with an Escherichia coli (E. coli) J5 bacterin on the productive performance of dairy cows applying propensity score matching techniques to farm-recorded (e.g., observational) data. Traits of interest included 305-d milk yield (MY305), 305-d fat yield (FY305), 305-d protein yield (PY305), and Somatic Cell Score (SCS). Records from 6,418 lactations generated by 5,121 animals were available for the analysis. Vaccination status of each animal was obtained from producer-recorded information. Confounding variables considered were herd-year-season groups (56 levels), parity (5 levels: 1, 2, 3, 4 and ≥5), and genetic quartile groups (4 levels: top 25% through bottom 25%) derived from genetic predictions for MY305, FY305, PY305, and SCS; as well as for the genetic susceptibility to mastitis (MAST). A logistic regression model was applied to estimate the propensity score (PS) for each cow. Subsequently, PS values were used to form pairs of animals (1 vaccinated with 1 unvaccinated control), depending on their PS similarities (difference in PS values of cows within a match required to be < 20% of 1 SD of the logit of PS). After the matching process, 2,091 pairs of animals (4,182 records) remained available to infer the causal effects of vaccinating dairy cows with the E. coli J5 bacterin. Causal effects estimation was performed using 2 approaches: simple matching and a bias-corrected matching. According to the PS methodology, causal effects of vaccinating dairy cows with a J5 bacterin on their productive performance were identified for MY305. The simple matched estimator suggested that vaccinated cows produced 163.89 kg more milk over an entire lactation when compared with non-vaccinated counterparts; while the bias-corrected estimator suggested that such increment in milk production was of 150.48 kg. Conversely, no causal effects of immunizing dairy cows with a J5 bacterin were identified for FY305, PY305 nor SCS. In conclusion, the utilization of propensity score matching techniques applied to farm-recorded data was feasible and allowed us to identify that vaccination with an E. coli J5 bacterin relates to an overall milk production increment without compromising milk quality.
What issues are data scientists talking about? Identification of current data science issues using semantic content analysis of Q&A communities

Background Because of the growing involvement of communities from various disciplines, data science is constantly evolving and gaining popularity. The growing interest in data science-based services and applications presents numerous challenges for their development. Therefore, data scientists frequently turn to various forums, particularly domain-specific Q&A websites, to solve difficulties. These websites evolve into data science knowledge repositories over time. Analysis of such repositories can provide valuable insights into the applications, topics, trends, and challenges of data science. Methods In this article, we investigated what data scientists are asking by analyzing all posts to date on DSSE, a data science-focused Q&A website. To discover main topics embedded in data science discussions, we used latent Dirichlet allocation (LDA), a probabilistic approach for topic modeling. Results As a result of this analysis, 18 main topics were identified that demonstrate the current interests and issues in data science. We then examined the topics’ popularity and difficulty. In addition, we identified the most commonly used tasks, techniques, and tools in data science. As a result, “Model Training”, “Machine Learning”, and “Neural Networks” emerged as the most prominent topics. Also, “Data Manipulation”, “Coding Errors”, and “Tools” were identified as the most viewed (most popular) topics. On the other hand, the most difficult topics were identified as “Time Series”, “Computer Vision”, and “Recommendation Systems”. Our findings have significant implications for many data science stakeholders who are striving to advance data-driven architectures, concepts, tools, and techniques.
Using InSight Data to Calibrate Seismicity From Remote Observations of Surface Faulting

We use a scaling relationship between fault length and scalar moment to predict seismicity from the Cerberus Fossae graben using shear modulus and fault lengths. Cerberus Fossae is 20–40° (1,200–2,300 km) from the InSight lander and matches the location of 21 recorded seismic events with Mw ≥ 3. These unique seismic observations make an ideal laboratory to test our method of predicting seismicity on another planet using surface fault observations. Terrestrial faults have observed patterns of rupture depth distributions and segmentation. We use these patterns and magnitudes of detected marsquakes to predict moment release of events in Cerberus Fossae over a range of plausible Martian rupture vertical slip extents (VSEs) of 2, 20, and 40 km, which are rooted in estimates of crustal thickness, elastic thickness, and seismicity depth. We sum individual events for each case to determine cumulative moment release and use deformation duration to determine annual moment release. Predicted seismicity rates are dependent on the duration of deformation, which in this case is well constrained to 2–10 Ma. We compare our results to events recorded at Cerberus Fossae by InSight and find that seismicity rates for the cases with a 40 km maximum VSE or no limit on VSE are within an order of magnitude of observed seismicity. Faults with maximum VSEs of 2 km best match observed magnitudes. Our approach, using only observed fault lengths, segmentation, seismogenic thickness estimates, and deformation duration, produces seismicity estimates that are as accurate as methods that take rupture offset into account.
A Study on Radar Scattering Characteristics of the Reentry Capsule

During the reentering process,the RCS of the reentry capsule of Shenzhou spacecraft changed violently because of plasma sheath and wake.The change in turn affected the ground-based telemetry radar.Based on the actual measured data of C- band radar,this article analyzed the mechanism of the sudden increase and reduction of RCS of the reentry capsule and demonstra- ted the inevitability of temporary target loss during the reflective tracking of reentry capsule of the centimeter wave radar.