Miracle-dz/UniFAR-FTUs huggingface dataset:
Highlights from the Compact Muon Solenoid (CMS) Experiment

The highlights of the recent activities and physics results leading up to the summer of 2018 from the Compact Muon Solenoid (CMS) experiment at the CERN Large Hadron Collider (LHC) are presented here. The CMS experiment has a very wide-ranging physics program, and only a very limited subset of the physics analyses being performed at CMS are discussed here, consisting of several important results from the analysis of proton-proton collision data at center-of-mass energy of 13 TeV. These include important analyses of Higgs boson physics, with the highlight being the first observation of the t t ¯ H production of the Higgs boson, along with analyses pertaining to precision standard model measurements, top quark physics, with the single top production cross-section measurement, and flavor physics, with the important observation of χ b (3P) states. Additionally, important searches for physics beyond the standard model are also presented.
Nova V4743 Sagittarii 2002: An Intermediate Polar Candidate

We present the results of 11 nights of CCD unfiltered photometry of V4743 Sgr (Nova Sgr 2002 No. 3) from 2003 and 2005. We find two periods of 0.2799 days (≈6.7 hr) and 0.01642 days (≈24 minutes) in the 2005 data. The long period is also present in the 2003 data, but only weak evidence of the shorter period is found in this year. The 24 minute period is somewhat longer than the 22 minute period that was detected from X-ray observations. We suggest that the 6.7 hr periodicity represents the orbital period of the underlying binary system and that the 24 minute period is the beat periodicity between the orbital period and the X-ray period, which is presumably the spin period of the white dwarf. Thus, V4743 Sgr should be classified as an intermediate polar (DQ Her star). About 6 months after the nova outburst, the optical light curve of V4743 Sgr seemed to show quasi-periodic oscillations, which are typical of the transient phase in classical novae. Therefore, our results support the previous suggestion that the transition phase in novae may be related to intermediate polars.
The relation between executive functions and math intelligence in preschool children: A systematic review and meta-analysis.

Executive functions (EFs) are key skills underlying other cognitive skills that are relevant to learning and everyday life. Although a plethora of evidence suggests a positive relation between the three EF subdimensions, inhibition, shifting, and updating, and math skills for schoolchildren and adults, the ﬁ ndings on the magnitude of and possible variations in this relation are inconclusive for preschool children and several narrow math skills (i.e., math intelligence). Therefore, the present meta-analysis aimed to (a) synthesize the relation between EFs and math intelligence (an aggregate of math skills) in preschool children; (b) examine which study, sample, and measurement characteristics moderate this relation; and (c) test the joint effects of EFs on math intelligence. Utilizing data extracted from 47 studies (363 effect sizes, 30,481 participants) from 2000 to 2021, we found that, overall, EFs are signi ﬁ cantly related to math intelligence ( ¯ r = .34, 95% CI [.31, .37]), as are inhibition ( ¯ r = .30, 95% CI [.25, .35]), shifting ( ¯ r = .32, 95% CI [.25, .38]), and updating ( ¯ r = .36, 95% CI [.31, .40]). Key measurement characteristics of EFs, but neither children ’ s age nor gender, moderated this relation. These ﬁ ndings suggest a positive link between EFs and math intelligence in preschool children and emphasize the importance of measurement characteristics. We further examined the joint relations between EFs and math intelligence via meta-analytic structural equation modeling. Evaluating different models and representations of EFs, we did not ﬁ nd support for the expectation that the three EF subdimensions are differentially related to math intelligence.
The 2dF Galaxy Redshift Survey: galaxy clustering per spectral type

We have calculated the two-point correlation functions in redshift space, �(�,�), for galaxies of different spectral types in the 2dF Galaxy Redshift Survey. Using these correlation functions we are able to estimate values of the linear redshi ft-space distortion parameter, � ≡ 0.6 m /b, the pairwise velocity dispersion, a, and the real-space correlation function, �(r), for galaxies with both relatively low star-formation rates (for which the present rate of star formation is less than 10% of its past averaged value) and galaxies with higher current starformation activity. At small separations, the real-space c lustering of passive galaxies is very much stronger than that of the more actively star-forming galaxies; the correlation-function slopes are respectively 1.93 and 1.50, and the relative bias between the two classes is a declining function of radius. On scales larger than 10h 1 Mpc there is evidence that the relative bias tends to a constant, bpassive/bactive ≃ 1. This result is consistent with the similar degrees of redshift-space distortions seen in the correlation func tions of the two classes ‐ the contours
A Group-Based Embedding Learning and Integration Network for Hyperspectral Image Super-Resolution

Although natural image super-resolution methods have achieved impressive performance, single hyperspectral image super-resolution still remains a challenge due to the high dimensionality. In recent years, many single hyperspectral image super-resolution methods adopted the group-convolution strategy to design the network for reducing the computational burden. However, these methods still process all spectral bands at once during the deep feature extraction and reconstruction, which increases the difficulty of fully exploring the inherent data characteristic of hyperspectral images. Moreover, the advanced group-based methods make insufficient exploitation of complementary information contained in different bands, resulting in limited reconstruction performance. In this article, we propose a novel group-based single hyperspectral image super-resolution method termed group-based embedding learning and integration network (GELIN) to reconstruct high-resolution images in a group-by-group manner, which alleviates the difficulty of feature extraction and reconstruction for hyperspectral images. Specifically, a spatial–spectral embedding learning module is designed to extract rewarding spatial details and explore the correlations among spectra simultaneously. Considering the high similarity among different bands, a neighboring group integration module is proposed to fully exploit the complementary information contained in neighboring image groups to recover missing details in the target image group. Experimental results on both natural and remote sensing hyperspectral datasets demonstrate that the proposed method is superior to other state-of-the-art methods both visually and metrically.
Constraints on the Evolution of the Galaxy Stellar Mass Function. I. Role of Star Formation, Mergers, and Stellar Stripping

We study the connection between the observed star formation rate–stellar mass (SFR–M*) relation and the evolution of the stellar mass function (SMF) by means of a subhalo abundance matching technique coupled to merger trees extracted from an N-body simulation. Our approach, which considers both galaxy mergers and stellar stripping, is to force the model to match the observed SMF at redshift , and let it evolve down to the present time according to the observed SFR–M* relation. In this study, we use two different sets of SMFs and two SFR–M* relations: a simple power law and a relation with a mass-dependent slope. Our analysis shows that the evolution of the SMF is more consistent with an SFR–M* relation with a mass-dependent slope, in agreement with predictions from other models of galaxy evolution and recent observations. In order to fully and realistically describe the evolution of the SMF, both mergers and stellar stripping must be considered, and we find that both have almost equal effects on the evolution of SMF at the massive end. Taking into account the systematic uncertainties in the observed data, the high-mass end of the SMF obtained by considering stellar stripping results in good agreement with recent observational data from the Sloan Digital Sky Survey. At , our prediction at z = 0.1 is close to Li & White data, but the high-mass end ( ) is in better agreement with D’Souza et al. data which account for more massive galaxies.
Chemical Abundances in the Secondary Star of the Neutron Star Binary Centaurus X-4

Using a high-resolution spectrum of the secondary star in the neutron star binary Cen X-4, we have derived the stellar parameters and veiling caused by the accretion disk in a consistent way. We have used a χ2 minimization procedure to explore a grid of 1,500,000 LTE synthetic spectra computed for a plausible range of both stellar and veiling parameters. Adopting the best model parameters found, we have determined atmospheric abundances of Fe, Ca, Ti, Ni, and Al. These element abundances are supersolar ([Fe/H] = 0.23 ± 0.10), but only the abundances of Ti and Ni appear to be moderately enhanced (≥1 σ) as compared with the average values of stars of similar iron content. These element abundances can be explained if the secondary star captured a significant amount of matter ejected from a spherically symmetric supernova (SN) explosion of a 4 M☉ He core progenitor and if we assume solar abundances as primordial abundances in the secondary star. The kinematic properties of the system indicate that the neutron star received a natal kick velocity through an aspherical SN and/or an asymmetric neutrino emission. The former scenario might be ruled out, since our model computations cannot produce acceptable fits to the observed abundances. We have also examined whether this system could have formed in the Galactic halo, and our simulations show that this possibility seems unlikely. We also report a new determination of the Li abundance, consistent with previous studies, that is unusually high and close to the cosmic Li abundance in the Galactic disk.
Evaluating glufosinate-ammonium and flame weeding for weed control in sweet marjoram (Origanum majorana L.) cultivation

The objective of this four-year study was to compare the effects of flame weeding and spraying with glufosinate-ammonium on weed control in sweet marjoram field cultivation. The experiment was set up in a complete randomized four-replicate design with a plot area of 8 m2. Moreover, the content of essential oil in marjoram herb obtained from the control plants, as well as the composition of this oil were also studied. Marjoram emergence began 13–17 days after sowing, and it was very uneven and in some years it was extendend up to 5 weeks. Flaming (90 kg propane ∙ ha–1) was applied in two times: immediately after noticing the first marjoram emergence or 5 days later, while glufosinate-ammonium (600 g ∙ ha–1) was applied on the same date as the first flaming. The tested methods of weeding significantly reduced the number and fresh weight of weeds growing 3–4 weeks after the start of marjoram emergence, i.e. in the period of its greatest sensitivity to weed competition. They had no soil residual activity and their effect on weeds disappeared after the first weeding. Among weeds occurring in the experiment, only barnyardgrass (Echinochloa crus-galli (L.) P. Beauv. ) was partially tolerant to flaming. Flaming applied at the second time did not increase the effectiveness of weed control, but significantly decreased the number of emergence and the yield of marjoram herb. Essential oil content in marjoram grated herb varied considerably depending on the year, ranging from 1.35 to 2.34%. The oil contained from 33 to 36 identified compounds, among which trans-sabinene hydrate (28–34%) and terpinen-4-ol (17–21%) were clearly dominant.
Relativistic hydrodynamics and non-equilibrium steady states

We review recent interest in the relativistic Riemann problem as a method for generating a non-equilibrium steady state. In the version of the problem under consideration, the initial conditions consist of a planar interface between two halves of a system held at different temperatures in a hydrodynamic regime. The new double shock solutions are in contrast with older solutions that involve one shock and one rarefaction wave. We use numerical simulations to show that the older solutions are preferred. Briefly we discuss the effects of a conserved charge. Finally, we discuss deforming the relativistic equations with a nonlinear term and how that deformation affects the temperature and velocity in the region connecting the asymptotic fluids.
Association of Self-Reported Depression Symptoms with Physical Activity Levels in Czechia

Worldwide, depressive disorder is one of the leading determinants of disability-adjusted life years. Although there are benefits associated with a higher physical activity (PA) level, there is a lack of information related to this relationship, especially in countries such as Czechia, where modern approaches to mental health care only recently emerged. The present study aimed to evaluate the association between the level of depression and different PA levels following the World Health Organization (WHO) PA guidelines and according to specific symptoms that indicate depression. Multivariable-adjusted Poisson regression models were used to calculate the prevalence rate (PR) in a sample of 2123 participants (45.3% men, median 48 years). Compared to subjects with insufficient PA, moderate and high PA levels were inversely associated with continuous depression scores (PR = 0.85; 95% CI: 0.75–0.97; and PR = 0.80; 95% CI: 0.70–0.92). Depressed mood and worthlessness were the symptoms associated with moderate and high PA. Tiredness, change in appetite, and concentration problems were related to high PA. The results suggest that reaching the minimum PA target according to the guidelines seems to be effective, and this could stimulate adherence. However, more specific improvements in symptomatology will require a subsequent gradual increase in PA levels.
Drone Food Delivery: A Solution to Crowding During the Global COVID-19 Pandemic

The COVID-19 pandemic has altered the retail landscape and introduced new risks for customers. Customers, in turn, are increasingly turning toward technology to reduce pandemic-associated risks. This study investigates the impact of crowding at food retail outlets on customers’ willingness to utilize drone food delivery. Data were collected using an online survey and analyzed using covariance-based structural equation modeling. The results confirm that crowding is positively associated with social withdrawal tendency and mortality threat. Perceived vulnerability and perceived severity act as moderators to strengthen the positive association of crowding with mortality threat and social withdrawal tendency. Social withdrawal tendency and mortality threat, in turn, are positively associated with customers' attitudes toward drone delivery. A positive attitude toward drone delivery positively impacts customer willingness to utilize drone delivery, while a negative attitude has a negative impact. This study provides novel insights into technology adoption driven by crowding as an environmental factor during a global pandemic. It also offers evidence that technology adoption is driven by threat perceptions. Our findings have important implications for retailers, who can consider drone food delivery as a possible solution to reduce customers' threat perception.
EM Duality and Quasinormal Modes from Higher Derivatives with Homogeneous Disorder

We study the electromagnetic (EM) duality from 6 derivative theory with homogeneous disorder. We find that, with the change of the sign of the coupling parameter γ1 of the 6 derivative theory, the particle-vortex duality with homogeneous disorder holds better than that without homogeneous disorder. The properties of quasinormal modes (QNMs) of this system are also explored. When the homogeneous disorder is introduced, some modes emerge at the imaginary frequency axis for negative γ1 but not for positive γ1. In particular, with an increase in the magnitude of α^, new branch cuts emerge for positive γ1. These emerging modes violate the duality related to the change of the sign of γ1. With the increase of α^, this duality is getting violated more.
PHOTOMETRIC STUDY ON STELLAR MAGNETIC ACTIVITY. I. FLARE VARIABILITY OF RED DWARF STARS IN THE OPEN CLUSTER M37

Based on one-month long MMT time-series observations of the open cluster M37, we monitored light variations of nearly 2500 red dwarfs and successfully identified 420 flare events from 312 cluster M dwarf stars. For each flare light curve, we derived observational and physical parameters, such as flare shape, peak amplitude, duration, energy, and peak luminosity. We show that cool stars produce serendipitous flares energetic enough to be observed in the r-band, and their temporal and peak characteristics are almost the same as those in traditional U-band observations. We also found many large-amplitude flares with inferred Δ u > 6 mag ? > in the cluster sample which had been rarely reported in previous ground-based observations. Following the ergodic hypothesis, we investigate in detail statistical properties of flare parameters over a range of energy (Er ≃ 1031–1034 erg). As expected, there are no statistical differences in the distributions of flare timescales, energies, and frequencies among stars of the same age and mass group. We note that our sample tend to have longer rise and decay timescales compared to those seen in field flare stars of the same spectral type and be more energetic. Flare frequency distributions follow power-law distributions with slopes β ∼ 0.62 ? > –1.21 for all flare stars and β ∼ 0.52 ? > –0.97 for stars with membership information ( P mem ≥ 0.2 ? > ). These are in general agreement with previous works on flare statistics of young open clusters and nearby field stars. Our results give further support to the classical age–activity relations.
Pengaruh Financial Literacy, Financial Inclusion dan Financial Behaviour terhadap Minat Berinvestasi Mahasiswa

Tujuan dari penelitian ini untuk mengetahui pengaruh literasi keuangan terhadap minat investasi mahasiswa, pengaruh inklusi keuangan terhadap minat investasi mahasiswa, pengaruh perilaku keuangan terhadap minat investasi mahasiswa. Teknik pemilihan sampel yang digunakan adalah non-probability sampling dan teknik pengambilan sampel adalah purposive sampling. Data diambil menggunakan kuesioner online berupa google form dengan total 100 orang responden. Pengolahan data dilakukan dengan menggunakan software SmartPLS. Hasil penelitian ini adalah literasi keuangan berpengaruh terhadap minat investasi secara signifikan, inklusi keuangan berpengaruh terhadap minat investasi secara signifikan, dan perilaku keuangan berpengaruh terhadap minat investasi secara signifikan. Hasil dari penelitian ini bertujuan untuk dapat mengetahui faktor apa saja yang menurut mahasiswa bisa meningkatkan minat berinvestasi mereka dengan menggunakan variabel yang diteliti. The purpose of this study is to determine the influence of financial literacy toward investment intention, financial inclusion toward investment intention, financial behavior toward investment intention. Sample was collected with non-probability sampling and purposive sampling. The data were collected using online questionnaire by google form with a total of 100 respondents and were processed by using SmartPLS software. The results of this study indicate that financial literacy affects investment intention, financial inclusion affects investment intention and financial behavior affect investment intention. The results of this study is to know some factors that increase investment intention for student with this three variable.
Phase diagram for the ν=0 quantum Hall state in monolayer graphene

The $\nu=0$ quantum Hall state in a defect-free graphene sample is studied within the framework of quantum Hall ferromagnetism. We perform a systematic analysis of the pseudospin anisotropies, which arise from the valley and sublattice asymmetric short-range electron-electron (e-e) and electron-phonon (e-ph) interactions. The phase diagram, obtained in the presence of generic pseudospin anisotropy and the Zeeman effect, consists of four phases characterized by the following orders: spin-polarized ferromagnetic, canted antiferromagnetic, charge density wave, and Kekul\'{e} distortion. We take into account the Landau level mixing effects and show that they result in the key renormalizations of parameters. First, the absolute values of the anisotropy energies become greatly enhanced and can significantly exceed the Zeeman energy. Second, the signs of the anisotropy energies due to e-e interactions can change upon renormalization. A crucial consequence of the latter is that the short-range e-e interactions alone could favor any state on the phase diagram, depending on the details of interactions at the lattice scale. On the other hand, the leading e-ph interactions always favor the Kekul\'{e} distortion order. The possibility of inducing phase transitions by tilting the magnetic field is discussed.
Approaches Mainline Protestant Pastors Use to Work with LGB People and Their Families: Implications for Family Therapists

ABSTRACT When a loved one comes out as lesbian, gay, or bisexual (LGB), families often seek the assistance of a trusted professional. For many families that involves seeking the consultation of a religious leader. This queer theory informed qualitative study sought to explore how Christian pastors work with LGB individuals and their families. Additionally, this study explored how pastors’ approaches to working with LGB individuals and their families varied based on the degree to which families were accepting or rejecting of their LGB family members. Twenty-one mainline Protestant Christian pastors were interviewed. Thematic analysis identified three themes and a number of subthemes that provide new insights for family therapists by highlighting that pastors engaged in theological conversations with families to encourage acceptance, walked with families in their journey of navigating external discrimination, and provided resources such as connection to community services and referrals to family therapy.
Counting Pairs of Faint Galaxies

The number of close pairs of galaxies observed to faint magnitude limits, when compared to nearby samples, determines the interaction or merger rate as a function of redshift. The prevalence of mergers at intermediate redshifts is fundamental to understanding how galaxies evolve and the relative population of galaxy types. Mergers have been used to explain the excess of galaxies in faint blue counts above the numbers expected from no-evolution models. Using deep CFHT ($I\leq24$) imaging of a ``blank'' field we find a pair fraction which is consistent with the galaxies in our sample being randomly distributed with no significant excess of ``physical'' close pairs. This is contrary to the pair fraction of $34\%\pm9\%$ found by Burkey {\it et al.} for similar magnitude limits and using an identical approach to the pair analysis. Various reasons for this discrepancy are discussed. Colors and morphologies of our close pairs are consistent with the bulk of them being random superpositions although, as indicators of interaction, these criteria are uncertain due to contamination of field galaxies and difficulty in seeing structure at intermediate redshifts, respectively. This observed lack of close pairs is probably linked with the decreasing amplitude of the angular correlation function at faint limits. If our faint samples are comprised of galaxies which have a higher average redshift than brighter samples studied by other workers then either the merger rate has been overestimated or there is a change in its behaviour from what is observed at brighter magnitude limits.