Miracle-dz/UniFAR-FTUs huggingface dataset:
CatETA: A Categorical Approximate Approach for Estimating Time of Arrival

Estimated time of arrival (ETA) is one of the critical services offered by navigation and hailing providers. The majority of existing solutions approach ETA as a regression problem and leverage GPS trajectories for estimation. However, the travel time fluctuates greatly between different trips, making simple regression methods skewed. Additionally, these methods are incapable of conducting estimation in practice because the trajectories of future trips are unknown. To jointly tackle these problems, we propose a novel Categorical approximate method to Estimate Time of Arrival (CatETA). Specifically, we formulate the ETA problem as a classification problem and label it with the average time of each category. To eliminate bias in categorical labeling, we approximate travel time using the weighted average of different classes in the testing stage. Then, we design a network structure that extracts the spatio-temporal features of link sequences and integrates a set of global information. Furthermore, we merge link sequences according to network topology and graph embedding to alleviate the computational burden associated with large-scale link networks. Comprehensive experiments on real-world datasets demonstrate that CatETA considerably improves the estimation performance and significantly reduces computational effort.
Polytropic models of filamentary interstellar clouds – II. Helical magnetic fields

We study the properties of magnetised cylindrical polytropes as models for interstellar filamentary clouds, extending the analysis presented in a companion paper (Toci & Galli 2014a). We formulate the general problem of magnetostatic equilibrium in the presence of a helical magnetic field, with the aim of determining the degree of support or compression resulting from the magnetisation of the cloud. We derive scale-free solutions appropriate to describe the properties of the envelopes of filaments at radii larger than the flat-density region. In these solutions, the polytropic exponent determines the radial profiles of the density and the magnetic field. The latter decreases with radius less steeply than the density, and field lines are helices twisted over cylindrical surfaces. A soft equation of state supports magnetic configurations that preferentially compress and confine the filament, whereas in the isothermal limit the field provides support. For each value of the polytropic exponent, the Lorentz force is directed outward or inward depending on whether the pitch angle is below or above some critical value which is a function of the polytropic exponent only.
Persistent quantum interfering electron trajectories

The emission of above-ionization-threshold harmonics results from the recombination of two-electron wave packets moving along a ''short'' and a ''long'' trajectory in the atomic continuum. Attosecond pulse train generation has, so far, been attributed to the short trajectory, attempted to be isolated through targeted trajectory-selective phase-matching conditions. Here, we provide experimental evidence for the contribution of both trajectories to the harmonic emission, even under phase-matching conditions unfavorable for the long trajectory. This is finger printed in the interference modulation of the harmonic yield as a function of the driving laser intensity. The effect is also observable in the sidebands, which arise from the frequency mixing of the harmonics and the driving laser field, an effect with consequences in cross-correlation pulse metrology approaches.
Structural, Optical, and Arsenic Removal Properties of Sol–Gel Synthesized Fe-Doped TiO 2 Nanoparticles

: Pure and Fe-doped TiO 2 nanoparticles were synthesized by the sol–gel method. The samples were characterized by X-ray diffraction, Raman spectroscopy, BET, UV-vis diffuse reflectance spectroscopy, and scanning electron microscopy. The results show a dependence between the crystallite size and the amount of dopant, which decreases from 13.02 to 12.81 nm. The same behavior was observed in the optical properties, where the band gap decreased from 3.2 to 2.86 eV. The arsenic (V) adsorption was tested in aqueous solution containing 5 mg/L of arsenic and 0.5 g/L of adsorbent at pH 7 and in dark conditions. The results indicate that the TiO 2 -B sample shows a higher arsenic removal, reaching 88% arsenic removal from the water at pH 7. Thus, it is also shown that the best performance occurs at pH 5, where it reaches an arsenic removal of 94%. Ion competition studies show that arsenic removal capacity is slightly affected by chloride, carbonate, nitrate, and sulfate ions. According to the results, the synthesized samples are a promising material for treating arsenic-contaminated water.
Bread Wheat Gluten and Its Health Effects

Glutens are the major constituents of bread wheat grain storage proteins and constituting 85% of the total. They are mainly responsible for the processing quality of wheat dough and were among the first proteins isolated and studied by human beings. Different compositions of wheat storage proteins confer different dough physical properties, which are required by different products. Gluten provides dough with unique extensibility and elasticity, which are essential for various wheat products. Gluten is one of the most commonly used proteins in food industry. Its characteristic properties make it an essential ingredient in the preparation of high quality dough, hence it is popular in the baking industry. Some wheat gliadin proteins are strong allergens that can cause various symptoms of food allergies and baker asthma. The most immune reactive ω-5 gliadin fractions are the main allergens in wheat dependent exercise induced anaphylaxis. Apart from their role in dough quality, gluten proteins can affect the health of genetically susceptible individuals. Many gluten proteins contain T-cell stimulatory epitopes that can cause celiac disease. The consumption of gluten proteins can trigger an immune response that damages the small intestine. Therefore, patients with celiac disease (CD) are restricted to a lifelong gluten-free diet
Transcranial Magnetic Stimulation: New Sapience into How Brain Stimulation Palliates Symptoms of PTSD

Posttraumatic stress disorder (PTSD) is a chronic, often debilitating psychological state disorder that may develop after a traumatic life event. Most patients get over the initial symptoms naturally, but those that experience persistent symptoms require standard treatment approaches such as 1: 1 psychotherapy, psychotropic medications, or both whichever have relevance. However, there are secondary hindrances such as drug safety and drug tolerability associated with these psychotropic medications, that interdict an appropriate course of treatment. The upshot of those events is that it creates a breach in our potential to properly manage PTSD in a significant number of patients, leaving them endangered to surfacing complications like employment-related incapacities, suicidal ideations, co-morbid medical disorders, and illicit drug abuse. Thus, there is a need for more worthwhile, tolerable, and long-standing approaches. Transcranial magnetic stimulation may be a safe and non-invasive treatment technique used to treat various psychiatric and neurological disorders. This neuromodulation technique involves stimulation of specific deep brain regions by the assembly of high and low-intensity magnetic fields thus filling the therapeutic void. This text mainly focuses on the results of controlled and pragmatic trials for efficacy, safety, and tolerability of patients affected by PTSD. The alternative treatment for PTSD currently is psychotherapy and antidepressant medications.Despite receiving these alternatives, there are about 50% of patients who continue to experience major symptoms.That is, the reason why TMS came out as another suitable option. Atleast 5 directories such as MEDLINE, CINAHL, Psych INFO, SCOPUS and EMBASE were probed to pinpoint pragmatic studies and randomized controlled trials that were designed for the treatment of PTSD with TMS. A total of 28 studies were found worthy for this review, out of which 5 are mentioned in this article. Although, so far it looks propitious in spite of the manifoldness as far as its outcomes and its clinical importance are concerned. Hence, still researches involving stimulation constraints are to be conducted in the near future.
The CMC15, the last issue of the series “Carlsberg Meridian Catalogue, La Palma”

CMC15 is the last of the series “Carlsberg Meridian Catalogue, La Palma” and comprises all the observations made between March 1999 and March 2011 with the Carlsberg Automatic Meridian Circle in El Roque de los Muchachos Observatory on the island of La Palma (Spain). The catalogues CMC12, CMC13, and CMC14 are superseded by this one. It contains more than 122 million observations of right ascension, declination, and magnitude of stars in the magnitude range of 9m < r′ < 17m and declination range of –40° < δ < +50°. The catalogue internal errors in astrometry are below 30 mas in both coordinates for stars brighter than r′ = 13, reaching 60 mas for r′ = 16. The internal magnitude error is below 0.020 mag for stars brighter than r′ = 13, and about 0.090 mag for r′ = 16. (© 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim)
Machine Learning Based Self-Balancing and Motion Control of the Underactuated Mobile Inverted Pendulum With Variable Load

In this paper, a novel Machine Learning (ML) based Adaptive Fuzzy Logic-Proportional Integral (AFL-PI) controller was developed for the self-balancing and precision motion control of a two wheeled Underactuated-Mobile Inverted Pendulum (U-MIP) under variable payloads. One of the external disturbances in balance and motion control of the U-MIP is the amount of payload it carries on. To investigate the effectiveness of the proposed controller, a load bar was mounted on top of the U-MIP. The weights of 55gr each can be attached to this bar for variable payloads. The weights on the bar were labeled as three different classes: Low Load (LL), Normal Load (NL) and Heavy Load (HL). Artificial Neural Network (ANN), Linear Discriminant Analysis (LDA), Support Vector Machine (SVM) and k-Nearest Neighbors (k-NN) models were tested to obtain the highest payload class estimation. The highest load classification accuracy was achieved with ANN. Therefore, the ANN model was applied on the U-MIP. The balance performance of the U-MIP was compared by applying the classical FL-PI and ANN based AFL-PI controller on the robot. In order to compare the body tilt angle performance of the U-MIP, the optimal FL-PI parameter in LL was applied for NL and HL conditions without changing. Then, the proposed ANN based AFL-PI controller was implemented on U-MIP. With the proposed novel controller, the body tilt angle variation of the U-MIP was improved by %29.42 for NL and %55.62 for HL compared to the classical FL-PI controller. The validity of the proposed controller was proved by real experiments.
Determination of Depression, Anxiety and Stress Levels of Sports Sciences Students

In this study, it was aimed to determine the depression, anxiety and stress levels of students studying at the sports science faculty of a university. This descriptive study was conducted with 100 students from the sports sciences faculty coaching education department who did not have chronic mental disorders in themselves or in their families without choosing a sample. Personal information form and depression, anxiety, stress scale were used as data collection tools. A positive, strong (r: 0.812) and significant relationship was found between depression and stress (p <0.001). Depression, anxiety and stress levels of the participants increase significantly with a strong relationship. In line with the findings obtained from the study, it was observed that the students' levels of depression, anxiety and stress were high.
Glucose Starvation-Caused Oxidative Stress Induces Inflammation and Autophagy in Human Gingival Fibroblasts

Gingival tissue experiences an environment of nutrient shortage, such as low glucose conditions, after periodontal surgery. Our previous studies found that this low glucose condition inhibits normal gingival cell functions. However, the mechanism by which this glucose-deficient environment causes cellular damage to human gingival fibroblasts (HGnFs) remains unclear. This study aimed to investigate the biological effects of ROS induction on HGnFs under low glucose conditions. ROS levels and cellular anti-ROS ability of HGnFs under different glucose concentrations were evaluated by measuring ROS formation and the expression of superoxide dismutase and heme oxygenase 1. Changes in cellular viability were investigated using 5-bromo-2′-deoxyuridine assay and cell survival detection, and the cellular damage was evaluated by the expression of inflammatory cytokines and changes in the expression of autophagy-related protein. ROS formation was then blocked using N-acetyl-L-cysteine (NAC), and the effects of ROS on HGnFs under low glucose conditions were investigated. Low glucose conditions induced ROS accumulation, reduced cellular activity, and induced inflammation and autophagy. After NAC application, the anti-ROS capacity increased, cellular activity improved, and inflammation and autophagy were controlled. This can be effectively controlled by the application of antioxidants such as NAC.
Early Adverse Effects of Behavioural Preventive Strategies During the COVID-19 Pandemic in Germany: An Online General Population Survey

Background Quarantine and physical distancing represent the two most important non-pharmaceutical actions to contain the COVID-19 pandemic. Comparatively little is known about possible adverse consequences of these behavioural measures in Germany. This study aimed at investigating potential early adverse effects associated with quarantine and physical distancing at the beginning of the countrywide lockdown in Germany in March 2020. Method Using a cross-sectional online survey (N = 4,268), adverse consequences attributed to physical distancing, symptoms of psychopathology, and sociodemographic variables were explored in the total sample as well as in high-risk groups (i.e., people with a physical or mental condition). Results The most frequently reported adverse effects were impairment of spare time activities, job-related impairment, and adverse emotional effects (e.g., worries, sadness). Participants with a mental disorder reported the highest levels of adverse consequences (across all domains) compared to participants with a physical disease or participants without any mental or physical condition. No significant association between the duration of the behavioural protective measures and the severity of adverse mental health effects was observed. Conclusion Results showed that non-pharmaceutical actions were associated with adverse effects, particularly in people with mental disorders. The findings are of relevance for tailoring support to special at-risk groups in times of behavioural preventive strategies.
Massive double white dwarfs and the AM CVn birthrate

We present Chandra and Swift X-ray observations of four extremely low-mass (ELM) white dwarfs with massive companions. We place stringent limits on X-ray emission from all four systems, indicating that neutron star companions are extremely unlikely and that the companions are almost certainly white dwarfs. Given the observed orbital periods and radial velocity amplitudes, the total masses of these binaries are greater than 1.02 to 1.39 Msun. The extreme mass ratios between the two components make it unlikely that these binary white dwarfs will merge and explode as Type Ia or underluminous supernovae. Instead, they will likely go through stable mass transfer through an accretion disk and turn into interacting AM CVn. Along with three previously known systems, we identify two of our targets, J0811 and J2132, as systems that will definitely undergo stable mass transfer. In addition, we use the binary white dwarf sample from the ELM Survey to constrain the inspiral rate of systems with extreme mass ratios. This rate, 0.00017/year, is consistent with the AM CVn space density estimated from the Sloan Digital Sky Survey. Hence, stable mass transfer double white dwarf progenitors can account for the entire AM CVn population in the Galaxy.
Comparison of Deep Learning Approaches for Lithuanian Sentiment Analysis

Sentiment analysis is one of the oldest Natural Language Processing problems, still relevant and challenging today. It is usually formulated and solved as a supervised machine learning problem. In this research, we are solving the three-class sentiment analysis problem for the non-normative Lithuanian language. The contribution of our research is related to applying the innovative BERT-based multilingual sentence transformer models to the Lithuanian sentiment analysis problem. For comparison purposes, we have also investigated traditional Deep Learning approaches, such as fastText or BERT word embeddings with the Convolutional Neural Network as the classifier. The best accuracy ∼ 0.788 was achieved with the purely monolingual model, i.e., fastText (trained on the very large and diverse Lithuanian corpus) and the Convolutional Neural Network (refined in various text classification tasks). The backbone of the second-best approach (reaching ∼ 0.762) is the multilingual sentence-transformer-based model, which is the trend in text classification tasks, especially for the English language.
Exploring the host environments of long-duration gamma-ray bursts

We have conducted the first dedicated spectroscopic survey of long‐duration gamma‐ray burst (LGRB) host galaxies at z<1, and use these observations along with data from the literature to determine a wide range of ISM properties and a statistically robust mass‐metallicity relation. LGRBs have been proposed as possible tracers of star formation at high redshift; however, such an association is dependent on a thorough understanding of the relationship between LGRB progenitors and their host environments. In particular, the metallicity of LGRB host galaxies has become a matter of hot debate in recent years. We conclude that LGRBs do exhibit a general trend toward lower‐metallicity host galaxies, but also detect several high‐metallicity hosts in our sample. We have also compared the energetic and environmental properties of the LGRBs in our sample, and find no statistically significant correlation between host metallicity and isotropic or beaming‐corrected gamma‐ray energy release. This is at odds with previou.
Autophagy in the Lifetime of Plants: From Seed to Seed

Autophagy is a highly conserved self-degradation mechanism in eukaryotes. Excess or harmful intracellular content can be encapsulated by double-membrane autophagic vacuoles and transferred to vacuoles for degradation in plants. Current research shows three types of autophagy in plants, with macroautophagy being the most important autophagic degradation pathway. Until now, more than 40 autophagy-related (ATG) proteins have been identified in plants that are involved in macroautophagy, and these proteins play an important role in plant growth regulation and stress responses. In this review, we mainly introduce the research progress of autophagy in plant vegetative growth (roots and leaves), reproductive growth (pollen), and resistance to biotic (viruses, bacteria, and fungi) and abiotic stresses (nutrients, drought, salt, cold, and heat stress), and we discuss the application direction of plant autophagy in the future.
Sordaria macrospora Sterile Mutant pro34 Is Impaired in Respiratory Complex I Assembly

The formation of fruiting bodies is a highly regulated process that requires the coordinated formation of different cell types. By analyzing developmental mutants, many developmental factors have already been identified. Yet, a complete understanding of fruiting body formation is still lacking. In this study, we analyzed developmental mutant pro34 of the filamentous ascomycete Sordaria macrospora. Genome sequencing revealed a deletion in the pro34 gene encoding a putative mitochondrial complex I assembly factor homologous to Neurospora crassa CIA84. We show that PRO34 is required for fast vegetative growth, fruiting body and ascospore formation. The pro34 transcript undergoes adenosine to inosine editing, a process correlated with sexual development in fruiting body-forming ascomycetes. Fluorescence microscopy and western blot analysis showed that PRO34 is a mitochondrial protein, and blue-native PAGE revealed that the pro34 mutant lacks mitochondrial complex I. Inhibitor experiments revealed that pro34 respires via complexes III and IV, but also shows induction of alternative oxidase, a shunt pathway to bypass complexes III and IV. We discuss the hypothesis that alternative oxidase is induced to prevent retrograde electron transport to complex I intermediates, thereby protecting from oxidative stress.
Maximum-likelihood approach to topological charge fluctuations in lattice gauge theory

We present a novel technique for the determination of the topological susceptibility (related to the variance of the distribution of global topological charge) from lattice gauge theory simulations, based on maximum-likelihood analysis of the Markov-chain Monte Carlo time series. This technique is expected to be particularly useful in situations where relatively few tunneling events are observed. Restriction to a lattice subvolume on which topological charge is not quantized is explored, and may lead to further improvement when the global topology is poorly sampled. We test our proposed method on a set of lattice data, and compare it to traditional methods.
Holographic Q-Picture of Black Holes in Five Dimensional Minimal Supergravity

In this article, we explore the holographic Q-picture description for charged rotating black holes in five-dimensional minimal supergravity. The central charge in the Q-picture depends only on the black hole charge, therefore it can be computed from the near horizon geometry of the extremal and non-rotating counterpart. Moreover, the CFT temperatures can be identified by studying the hidden conformal symmetry, and the related gravity-CFT dictionary can be translated via thermodynamic analysis. The entropy and absorption cross section computed from both the gravity and CFT sides properly agree with each other.
Ferromagnet/Insulator/Ferroelectric nanometer multilayer for multiferroictronics

We have investigated the field-induced-changes in both the magnetization and the polarization in ferromagnet/Insulator/ferroelectric (FM/I/FE) multilayer by following both the Stoner-Wohlfarth (SW) model and the Landau theory. It has been found that with the stresses introduced in the FM/I/FE structure by the fields, both the magnetization and the polarization states can be significantly modified and the combination of their states can be of multiple states. These results demonstrate the feasibility of combining both the spintronics and the ferroelectrics into the multiferroictronics.