Miracle-dz/UniFAR-FTUs huggingface dataset:
Method for Determining Spontaneous Combustion Risk in Roof Cutting Gob-Side Entry Retaining U + L Ventilation Goaf for Mining Safety

It is difficult to accurately determine the risk of spontaneous combustion in the U + L ventilation goaf of the first mining face when using the method of roof cutting gob-side entry retaining (RCGSER). To address this problem, the I2101 working face of Qipanjing Mine was considered as the research object in this study. Laboratory experiments, field measurements, and CFD numerical simulation were used to study the continuous oxygen consumption characteristics of coal samples and the distribution of spontaneous combustion danger areas in U + L goaf. The results showed that the oxygen consumption capacity of the coal samples was weak. The continuous oxygen consumption rate of the coal samples had a negative exponential distribution, and the oxygen volume fraction in the smothering zone (critical) was 15%. Furthermore, the three likely areas for spontaneous combustion in the RCGSER goaf were near the open-off cut, within 5–10 m near the RCGSER roadway, and behind the working face. Additionally, the relationship between the dangerous area ( S f ) and the different positions ( x ) of the working face was expressed as S f = a + b ⋅ exp c ⋅ x b < 0 , c < 0 . On this basis, the fire prevention and extinguishing measures of nitrogen injection was recommended near the open-off cut as well as inhibitor injection at the RCGSER roadway. Because the maximum width of the spontaneous combustion oxidation zone in Qipanjing Mine is 80 m and the minimum daily advancing speed is 1.2 m, spontaneous combustion risk did not exist. This research slightly fills the theoretical gap in the relatively new field of fire prevention in RCGSER goaf.
Forward EW Physics at the LHC

Measurements of electroweak production in the forward region at the LHC provide unique and complementary information to those performed in the central region. Studies have been performed not just by LHCb, a dedicated forward detector, but also by ATLAS and CMS, which are primarily situated in the central region but can exploit forward calorimetry coverage to contribute to the understanding of SM processes in the forward region.
CHEMICAL ABUNDANCES OF THE MILKY WAY THICK DISK AND STELLAR HALO. II. SODIUM, IRON-PEAK, AND NEUTRON-CAPTURE ELEMENTS

We present chemical abundance analyses of sodium, iron-peak, and neutron-capture elements for 97 kinematically selected thick disk, inner halo, and outer halo stars with metallicities −3.3 < [Fe/H] <−0.5. The main aim of this study is to examine chemical similarities and differences among metal-poor stars belonging to these old Galactic components as a clue to determine their early chemodynamical evolution. In our previous paper, we obtained abundances of α elements by performing a one-dimensional LTE abundance analysis based on the high-resolution (R ∼ 50, 000) spectra obtained with the Subaru/HDS. In this paper, a similar analysis is performed to determine abundances of an additional 17 elements. We show that, in metallicities below [Fe/H] ∼−2, the abundance ratios of many elements in the thick disk, inner halo, and outer halo subsamples are largely similar. In contrast, in higher metallicities ([Fe/H] ≳ −1.5), differences in some of the abundance ratios among the three subsamples are identified. Specifically, the [Na/Fe], [Ni/Fe], [Cu/Fe], and [Zn/Fe] ratios in the inner and outer halo subsamples are found to be lower than those in the thick disk subsample. A modest abundance difference between the two halo subsamples in this metallicity range is also seen for the [Na/Fe] and [Zn/Fe] ratios. In contrast to that observed for [Mg/Fe] in our previous paper, [Eu/Fe] ratios are more enhanced in the two halo subsamples rather than in the thick disk subsample. The observed distinct chemical abundances of some elements between the thick disk and inner/outer halo subsamples with [Fe/H] >−1.5 support the hypothesis that these components formed through different mechanisms. In particular, our results favor the scenario that the inner and outer halo components formed through an assembly of multiple progenitor systems that experienced various degrees of chemical enrichments, while the thick disk formed through rapid star formation with an efficient mixing of chemical elements. The lower [Na/Fe] and [Zn/Fe] observed in stars with the outer halo kinematics may further suggest that progenitors with longer star formation timescales contributed to the buildup of the relatively metal-rich part of stellar halos.
Einstein-Hilbert graviton modes modified by the Lorentz-violating bumblebee Field

In this work, we investigate the consequences of the spontaneous breaking of Lorentz symmetry, triggered by the bumblebee vector field, on the usual Einstein-Hilbert theory. Specifically, we consider the Einstein-Hilbert action modified by the bumblebee dynamic field, and evaluate the graviton propagator using an extended basis of Barnes-Rivers tensor projectors, involving the Lorentz-violating vector. Once the propagator is carried out, we proceed with discussing the consistency of the model, writing the dispersion relations, and analyzing causality and unitarity. We verify that this model possesses two dispersion relations: one provides causal and unitary propagating modes, while the second yields a causal but nonunitary mode which spoils the physical consistency of the model.
Genome-Wide Identification of C2H2 ZFPs and Functional Analysis of BRZAT12 under Low-Temperature Stress in Winter Rapeseed (Brassica rapa)

Zinc-finger protein (ZFP) transcription factors are among the largest families of transcription factors in plants. They participate in various biological processes such as apoptosis, autophagy, and stemness maintenance and play important roles in regulating plant growth and development and the response to stress. To elucidate the functions of ZFP genes in the low-temperature response of winter (Brassica rapa L.) B. rapa, this study identified 141 members of the C2H2 ZFP gene family from B. rapa, which are heterogeneously distributed on 10 chromosomes and have multiple cis-acting elements related to hormone regulation and abiotic stress of adversity. Most of the genes in this family contain only one CDS, and genes distributed in the same evolutionary branch share mostly the same motifs and are highly conserved in the evolution of cruciferous species. The genes were significantly upregulated in the roots and growth cones of ‘Longyou-7’, indicating that they play a role in the stress-response process of winter B. rapa. The expression level of the Bra002528 gene was higher in the strongly cold-resistant varieties than in the weakly cold-resistant varieties after low-temperature stress. The survival rate and BrZAT12 gene expression of trans-BrZAT12 Arabidopsis thaliana (Arabidopsis) were significantly higher than those of the wild-type plants at low temperature, and the enzyme activities in vivo were higher than those of the wild-type plants, indicating that the BrZAT12 gene could improve the cold resistance of winter B. rapa. BrZAT12 expression and superoxide dismutase and ascorbate peroxidase enzyme activities were upregulated in winter B. rapa after exogenous ABA treatment. BrZAT12 expression and enzyme activities decreased after the PD98059 treatment, and BrZAT12 expression and enzyme activities were higher than in the PD98059 treatment but lower than in the control after both treatments together. It is speculated that BrZAT12 plays a role in the ABA signaling process in which MAPKK is involved. This study provides a theoretical basis for the resolution of cold-resistance mechanisms in strong winter B. rapa.
A Self-consistent Method for Estimating Photometric Redshifts

A new method is developed for estimating photometric redshifts, using realistic template SEDs, extending over four decades in wavelength (i.e from 0.05 $\mu m$ to 1 mm). The SEDs are constructed for four different spectral types of galaxies (elliptical, spiral, irregular and starburst) and satisfy the following characteristics: a). they are optimised to produce the observed colours of galaxies at $z\sim 0$; b). incorporate the chemo-photometric spectral evolution of galaxies of different types, in agreement with observations; c). allow treatment of dust contribution and its evolution with redshift, consistent with the spectral evolution model; d). include absorption and re-emission of radiation by dust and hence, realistic estimates of the far-infrared radiation; e). include correction for inter-galactic absorption by Lyman continuum and Lyman forest. Using these template SEDs, the photometric redshifts are estimated to an accuracy of $\Delta z = 0.11$. The degeneracy in the method and hence, the redshifts and spectral types, are explored via Monte Carlo simulations. The consistency of the technique is demonstrated by applying it on a UV selected sample of HDF galaxies and comparing the statistical results with those from other independent studies.
Layered nonwoven filter embodied with packing density gradient measured by X-ray computed tomography for enhanced filtration performance

Abstract This research explores the possibility of tuning the structure of needle-punched nonwoven fabrics by incorporating layers of differently oriented fibres. The fibre orientation in carded batts is regulated with the help of carding parameters viz. feeder, cylinder, and doffer speeds. The carding parameters were optimized by using response surface methodology to obtain carded batts of differently oriented fibers, which were then placed distinctly to form composite layered nonwoven fabrics. The physical, mechanical, and functional properties of layered fabrics were evaluated. X-ray computed tomography technique was used for comprehensive evaluation of the packing densities at incremental thickness of layered fabrics. The obtained trends of packing density were found to be in good agreement with the measured properties of nonwoven fabrics. The creation of an inverse gradient of packing density in a layered nonwoven fabrics displayed close to highest filtration efficiency and close to lowest pressure drop.
The genome sequence of the common yellow swallowtail, Papilio machaon (Linnaeus, 1758)

We present a genome assembly from an individual female Papilio machaon (the common yellow swallowtail; Arthropoda; Insecta; Lepidoptera; Papilionidae). The genome sequence is 252 megabases in span. The majority of the assembly (99.97%) is scaffolded into 31 chromosomal pseudomolecules with the W and Z sex chromosomes assembled. The complete mitochondrial genome was also assembled and is 15.3 kilobases in length. Gene annotation of this assembly on Ensembl has identified 14,323 protein coding genes.
Inflammatory Stimuli Responsive Non-Faradaic, Ultrasensitive Combinatorial Electrochemical Urine Biosensor

In this work, we propose a novel diagnostic biosensor that can enable stratification of disease states based on severity and hence allow for clear and actionable diagnoses. The scheme can potentially boost current Point-Of-Care (POC) biosensors for diseases that require time-critical stratification. Here, two key inflammatory biomarkers—Interleukin-8 and Interleukin-6—have been explored as proof of concept, and a four-class stratification of inflammatory disease severity is discussed. Our method is superior to traditional lab techniques as it is faster (<4 minutes turn-around time) and can work with any combination of disease biomarkers to categorize diseases by subtypes and severity. At its core, the biosensor relies on electrochemical impedance spectroscopy to transduce subtle inflammatory stimuli at the input for IL-8 and IL-6 for a limit of detection (LOD) of 1 pg/mL each. The biosensing scheme utilizes a two-stage random forest machine learning model for 4-state output disease classification with a 98.437% accuracy. This scheme can potentially boost the diagnostic power of current electrochemical biosensors for better precision therapy and improved patient outcomes.
Modelling Core Personality Traits Behaviours in a Gamified Escape Room Environment

Personality Traits are one of the most important aspects of human behaviour analysis that can be widely used in a plethora of scientific fields. Nowadays, a variety of industries use self-assessment techniques to evaluate their employees or candidates to form effective teams based on the relationships between the personnel. The Big Five personality traits, also known as the OCEAN Five model, encompass an individual’s behaviour on five factors: Openness, Conscientiousness, Extraversion, Agreeableness, and Neuroticism. Currently, the evaluation is based on questionnaires, which are prone to subjectivity and can be biased. In this paper, we analyse the behaviours on which each trait is based, in a series of 3D Escape Rooms with the aim of collecting metrics in a number of settings/situations to effectively assess them, with the use of gamification. Each Escape Room has unique features and simulates special occasions to monitor the player's reactions as well as gameplay style to generate specific models that calculate the level of each personality trait. The final profiling, however, is based on a combination of metrics from the different rooms since the behaviours are common and overlap with each other but can be evaluated in different situations. Results validate the mathematical models of metrics for each behaviour and crystallise the nature of the situations in which these behaviours can be modelled. Therefore, through gamification, a new generic model for categorising players, based on the Ocean five personality trait model, is generated.
The existence of designs

We prove the existence conjecture for combinatorial designs, answering a question of Steiner from 1853. More generally, we show that the natural divisibility conditions are sufficient for clique decompositions of simplicial complexes that satisfy a certain pseudorandomness condition. As a further generalisation, we obtain the same conclusion only assuming an extendability property and the existence of a robust fractional clique decomposition.
Quasiblack holes with pressure: relativistic charged spheres as the frozen stars

In general relativity coupled to Maxwell's electromagnetism and charged matter, when the gravitational potential W{sup 2} and the electric potential field {phi} obey a relation of the form W{sup 2}=a(-{epsilon}{phi}+b){sup 2}+c, where a, b, and c are arbitrary constants, and {epsilon}={+-}1 (the speed of light c and Newton's constant G are put to one), a class of very interesting electrically charged systems with pressure arises. We call the relation above between W and {phi}, the Weyl-Guilfoyle relation, and it generalizes the usual Weyl relation, for which a=1. For both, Weyl and Weyl-Guilfoyle relations, the electrically charged fluid, if present, may have nonzero pressure. Fluids obeying the Weyl-Guilfoyle relation are called Weyl-Guilfoyle fluids. These fluids, under the assumption of spherical symmetry, exhibit solutions which can be matched to the electrovacuum Reissner-Nordstroem spacetime to yield global asymptotically flat cold charged stars. We show that a particular spherically symmetric class of stars found by Guilfoyle has a well-behaved limit which corresponds to an extremal Reissner-Nordstroem quasiblack hole with pressure, i.e., in which the fluid inside the quasihorizon has electric charge and pressure, and the geometry outside the quasihorizon is given by the extremal Reissner-Nordstroem metric. The main physical properties of such charged starsmore » and quasiblack holes with pressure are analyzed. An important development provided by these stars and quasiblack holes is that without pressure the solutions, Majumdar-Papapetrou solutions, are unstable to kinetic perturbations. Solutions with pressure may avoid this instability. If stable, these cold quasiblack holes with pressure, i.e., these compact relativistic charged spheres, are really frozen stars. « less
Intraoperative Extra Corporeal Membrane Oxygenator for Lung Cancer Resections Does Not Impact Circulating Tumor Cells

Simple Summary The diagnosis of active neoplastic disease was traditionally judged an absolute contraindication for extracorporeal membrane oxygenator (ECMO) because of long-term results uncertainty and co-existing acquired coagulation disorders often diagnosed in this group of patients. There is a growing body of evidence that circulating tumor cells (CTCs) can be detected in the blood of patients before the primary tumor is diagnosed and in the case of carcinoma recurrence; moreover, on some occasions, they persist in the blood of patients after radical resection of the primary tumor. The aim of this prospective, two-arm study is to compare the number of CTCs before and after surgery in patients undergoing lung cancer resection with and without intraoperative ECMO support. Intraoperative ECMO for lung cancer resections did not impact CTC variation after the procedure and did not impact postoperative complications, ICU stay, hospital total length of stay, and post operative C-reactive protein increase. Abstract Background: The diagnosis of active neoplastic disease was traditionally judged an absolute contraindication for extracorporeal membrane oxygenator (ECMO) because of the fear of tumor cells being scattered or seeded. The aim of this study is to compare the number of circulating tumor cells (CTCs) before and after surgery in patients receiving lung cancer resection with and without intraoperative ECMO support. Methods: This is a prospective, non-randomized, two-arms observational study comparing the number of CTCs before and after surgery in patients receiving lung cancer resection with and without intraoperative ECMO support. The ECMO arm includes patients suffering from lung cancer undergoing pulmonary resection with planned intraoperative ECMO support. The non-ECMO arm includes patients suffering from non-early-stage lung cancer undergoing pulmonary resection without planned intraoperative ECMO support. Results: Twenty patients entered the study, eight in the ECMO arm and twelve in the non-ECMO arm. We did not observe any significant difference between the ECMO and non-ECMO groups in terms of postoperative complications (p = 1.00), ICU stay (p = 0.30), hospital stay (p = 0.23), circulating tumor cells’ increase or decrease after surgery (p = 0.24), and postoperative C-reactive protein and C-reactive protein increase (p = 0.80). The procedures in the non-ECMO arm were significantly longer than those in the ECMO arm (p = 0.043). Conclusions: Intraoperative ECMO for lung cancer resections did not impact CTC increase or decrease after the procedure.
Risk Estimates of Dementia and Alzheimer’s Disease among Different Whole Grain Food Consumption Categories: A Pilot Study

Objectives Whole grains (WG) have been widely recognized as healthy foods but few prospective studies have examined WG foods consumption and all-cause dementia and Alzheimer’s disease (AD) dementia. This pilot study aimed to investigate the relationship between WG and dementia. Methods 2958 subjects from the Framingham Offspring cohort were included with the Food Frequency Questionnaire (FFQ) to assess their diet intake. And multivariate Cox proportional regression was conducted to examine the relations. Results After an average follow-up of 12.6 years, 322 all-cause dementia were documented, including 247 AD dementia. In the fully adjusted model, participants in the highest vs. the lowest quintiles of WG consumption had lower risks of all-cause dementia (HR, 0.72; 95% CI, 0.53–0.84; P for trend <0.001) and AD dementia (HR, 0.64; 95% CI, 0.47–0.80; P for trend <0.001). Conclusions High consumption of WG foods is associated with decreased risks of all-cause dementia and AD dementia.t disease mortality. Our findings are from a preliminary study and need to be confirmed in comprehensive settings and integrated statistical methods.
Secondary silane grafting on aramid fibers improves the interfacial bonding performance in textile composite materials

To improve the chemical and physical surface features of aramid fibers and the bonding quality at the interface, carbon nanotubes, dopamine and silane coupling reagent KH560 were used to modify the surface of aramid fibers. The fiber surface was characterized by FTIR, XPS, SEM and AFM. The single-fiber specific strength, surface roughness, wettability and interfacial shear strength of the modified fiber were quantified. Finally, the uniaxial tensile behaviour of the textile composite laminate with the modified fibers was tested. The experimental results show that: after the grafting of silane coupling reagent as a second modification step, the amount of oxygen-containing groups on the surface of aramid fibers, and the surface roughness, and the ability to impregnate resin are further improved. The single-fiber specific strength, the interfacial shear strength by fiber pull-out tests, and the tensile strength of the laminate are increased by 21.62%, 73.57%, and 51.60%, respectively. This work demonstrates a general surface modification strategy working for diverse types of fibers, synthetic or natural. The present findings help to develop a broad range of high-performance textile composites to address long-term challenges in structural engineering.
SEMANTIC SEGMENTATION OF INDOOR 3D POINT CLOUDS BY JOINT OPTIMIZATION OF GEOMETRIC FEATURES AND NEURAL NETWORKS

Abstract. Indoor navigation, indoor robotics, and other deep applications of interior space can be realized through semantic segmentation of 3D point clouds. We propose a semantic segmentation method for point clouds that uses geometric features of point clouds and neural networks to address the problem of incomplete and inconsistent segmentation objectives in existing semantic segmentation methods. Using neural networks, semantic labels are extracted from indoor structural information as the first step. The paper proposes a probabilistic model to cross-validate the initial segmentation results with the segmentation results of geometric features to achieve joint optimization of the results for semantic segmentation. Three sets of indoor point clouds data from simple to complex indoor scenes are used to test the accuracy and validity of the segmentation method proposed in this paper. The experimental results demonstrate that the method proposed in this paper can effectively improve the semantic segmentation accuracy of indoor 3D point clouds.
Phases of supersymmetric gauge theories and Galois invariants

OF THE DISSERTATION Phases Of Supersymmetric Gauge Theories And Galois Invariants by Eleonora Dell’Aquila Dissertation Director: Professor Duiliu-Emanuel Diaconescu This thesis deals with the problem of understanding the vacuum structure of supersymmetric gauge theories. More precisely, the theories considered here are N = 1 supersymmetric gauge theories obtained through breaking of part of the supersymmetry from N = 2 gauge theories. The space of vacua of these theories has a very interesting and rich structure, only partly understood. This work proposes a new point of view on this problem, conjecturing a relation between the classification of certain special phases of N = 1 supersymmetric gauge theories and the mathematical problem of classifying a certain kind of graphs Grothendieck’s “dessins s’enfants” according to the corresponding Galois invariants. The Seiberg-Witten solution of the parent N = 2 theory plays a crucial role in establishing this correspondence.
On H-groups and their applications to topological homotopy groups

This paper develops a basic theory of H-groups. We introduce a special quotient of H-groups and extend some algebraic constructions of topological groups to the category of H-groups and H-maps. We use these constructions to prove some advantages in topological homotopy groups. Also, we present a family of spaces that their topological fundamental groups are indiscrete topological group and find out a family of spaces whose topological fundamental group is a topological group.