Miracle-dz/UniFAR-FTUs huggingface dataset:
Cosmology and the Bispectrum

The present spatial distribution of galaxies in the Universe is non-Gaussian, with 40% skewness in 50 h{sup -1} Mpc spheres, and remarkably little is known about the information encoded in it about cosmological parameters beyond the power spectrum. In this work they present an attempt to bridge this gap by studying the bispectrum, paying particular attention to a joint analysis with the power spectrum and their combination with CMB data. They address the covariance properties of the power spectrum and bispectrum including the effects of beat coupling that lead to interesting cross-correlations, and discuss how baryon acoustic oscillations break degeneracies. They show that the bispectrum has significant information on cosmological parameters well beyond its power in constraining galaxy bias, and when combined with the power spectrum is more complementary than combining power spectra of different samples of galaxies, since non-Gaussianity provides a somewhat different direction in parameter space. In the framework of flat cosmological models they show that most of the improvement of adding bispectrum information corresponds to parameters related to the amplitude and effective spectral index of perturbations, which can be improved by almost a factor of two. Moreover, they demonstrate that the expected statistical uncertainties in {sigma}s ofmore » a few percent are robust to relaxing the dark energy beyond a cosmological constant. « less
Oxygen detection based on Faraday modulation spectroscopy and wavelength modulation spectroscopy: A comparison

An oxygen sensor system was developed based on Faraday modulation spectroscopy (FAMOS). In the system, a distributed feedback laser near 760.9 nm was used as the light source and a 30‐cm long gas cell was employed for gas absorption. The first harmonic was extracted by a commercial lock in amplifier for the derivation of concentration. Oxygen measurement experiments were conducted the performance of the sensor system was obtained. In addition, oxygen sensor system with wavelength modulation spectroscopy (WMS) scheme was developed with the same light source and gas cell for a direct comparison. Based on Allan deviation analysis, a detection limit of 0.186% for the WMS scheme and a detection limit of 0.108% for the FAMOS scheme were acquired at an averaging time of 1 s. The precisions can be further improved to 0.032% and 0.03% at an averaging time of 15 s, respectively.
Title : Effect of agronomic programmes with different 2 susceptibility to deoxynivalenol risk on emerging 3 contamination in winter wheat

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Exploring the Influence of SERVQUAL Dimensions of Reliability, Responsiveness and Assurance towards Consumers Loyalty: The Mediating Effect of Commitment-Trust Relationship Marketing Theory

With the surged of mobile apps usage among businesses ever since the outbreak of Covid-19, studies relating to the usage of mobile apps become important. An understanding of it ensuring better services being provided and enhance competitiveness among the mobile apps delivery provider. As such, this study is crucial to gauge the underlying factors that influence the quality of services delivered by the company’s mobile apps and determine the user’s loyalty. This study specifically examine the impact of SERVQUAL dimensions that comprises of reliability, responsiveness and assurance on customer loyalty and the mediating role of customer trust in the mobile apps delivery in Selangor. Conventionally, SERVQUAL refers to the customer’s overall evaluation of service firms’ attributes by comparing their expectations and actual performance (Parasuraman et al., 1988). This is a quantitative research, whereby a simple random sampling will be used for selecting the participants from the state of Selangor, Malaysia. An online questionnaire with five-point Likert scale will be applied for data collecting purposes. Partial Least Square Structural Equation Modelling (PLS-SEM) will be used to analyse questions on the SERVQUAL dimension; reliability, responsiveness and assurance, and trust to customer loyalty. This study attempt to offer a comprehensive understanding of trust and customer loyalty in the Malaysian mobile apps delivery. Subsequently, it also provides an insight on the important dimensions necessary in developing quality mobile app delivery. Findings from this study may postulate a theoretical framework for measuring customer loyalty toward the mobile app delivery. In addition, it may aid mobile app delivery industry players plan for better quality mobile app services to retain their customers. This study may also pave ways for future studies such as incorporating
Microfluidic-assisted fiber production: Potentials, limitations, and prospects

Besides the conventional fiber production methods, microfluidics has emerged as a promising approach for the engineered spinning of fibrous materials and offers excellent potential for fiber manufacturing in a controlled and straightforward manner. This method facilitates low-speed prototype synthesis of fibers for diverse applications while providing superior control over reaction conditions, efficient use of precursor solutions, reagent mixing, and process parameters. This article reviews recent advances in microfluidic technology for the fabrication of fibrous materials with different morphologies and a variety of properties aimed at various applications. First, the basic principles, as well as the latest developments and achievements of microfluidic-based techniques for fiber production, are introduced. Specifically, microfluidic platforms made of glass, polymers, and/or metals, including but not limited to microfluidic chips, capillary-based devices, and three-dimensional printed devices are summarized. Then, fiber production from various materials, such as alginate, gelatin, silk, collagen, and chitosan, using different microfluidic platforms with a broad range of cross-linking agents and mechanisms is described. Therefore, microfluidic spun fibers with diverse diameters ranging from submicrometer scales to hundreds of micrometers and structures, such as cylindrical, hollow, grooved, flat, core–shell, heterogeneous, helical, and peapod-like morphologies, with tunable sizes and mechanical properties are discussed in detail. Subsequently, the practical applications of microfluidic spun fibers are highlighted in sensors for biomedical or optical purposes, scaffolds for culture or encapsulation of cells in tissue engineering, and drug delivery. Finally, different limitations and challenges of the current microfluidic technologies, as well as the future perspectives and concluding remarks, are presented.
Zero-metallicity stars I. Evolution at constant mass

We present extensive evolutionary models of stars with initial zero-metallicity, covering a large range of initial masses (i.e. 0:7 M M 100 M). Calculations are carried out at constant mass, with updated input physics, and applying an overshooting scheme to convective boundaries. The nuclear network includes all the important reactions of the p-p chain, CNO-cycle and -captures, and is solved by means of a suitable semi-implicit method. The evolution is followed up to the thermally pulsing AGB in the case of low- and intermediate-mass stars, or to the onset of carbon burning in massive stars. The main evolutionary features of these models are discussed, also in comparison with models of non-zero metallicity. Among several interesting aspects, particular attention has been paid to describe: i) the rst synthesis of 12 C inside the stars, that may suddenly trigger the CNO-cycle causing particular evolutionary features; ii) the pollution of the stellar surface by the dredge-up events, that are eective only within particular mass ranges; iii) the mass limits which conventionally dene the classes of low-, intermediate-, and high-mass stars on the basis of common evolutionary properties, including the upper mass limit for the achievement of super-Eddington luminosities before C-ignition in the high-mass regime; and iv) the expected pulsational properties of zero-metallicity stars. All relevant information referring to the evolutionary tracks and isochrones is made available in computer-readable format.
The Water Hyacinth Reduces the Production Costs of Fish Feed during the Small-scale Tilapia Culture in Southern of Sinaloa, Mexico

Tilapia culture is increasing such in Mexico as in other countries of world; however, one of main problem is the food cost; therefore, the aim this work was to use water hyacinth as a complement in tilapia feeding, and thus reduce production cost. Dried water hyacinth added with cane molasses, was fermented using Lactobacillus acidophilus. The fermented product was mixed with commercial feed and cornmeal, at 30-60-10 percent respectively. The mixture was extruded and dried to be used as tilapia feed. Tilapia juveniles were placed in plastic ponds; once tilapias reached 24-26 g, were divided in two groups; The experimental group was transferred to a 4,678-liter pond while the control group was distributed in three 100-liter ponds. The experimental group was fed with food prepared with water hyacinth, while control group with commercial food. To know the tilapias growth of each groups, the weight gain of both groups, was recorded every 2 weeks; also to check the water state, its physicochemical parameters were recorded. At end of 9 biweeklies, the experiment was stopped, and the tilapia growth of both groups compared, using a von Bertalanffy modified equation to calculate the growth, based on the weight increase. Results indicated that tilapia growth rate fed with water hyacinth-supplemented feed, was 7.5% higher than tilapia fed with commercial feed, at p=0.05. Another important point, is that feed cost prepared with water hyacinth was 30% lower than commercial food. This results demonstrate that tilapia farming to small and medium-scale, can be developed in southern Sinaloa, which will create jobs for inhabitants of small communities, strengthening the family economy and the social fabric.
Field induced quantum spin liquid with spinon Fermi surfaces in the Kitaev model

Recent experimental evidence for a field-induced quantum spin liquid (QSL) in $\alpha$-RuCl$_3$ calls for an understanding for the ground state of honeycomb Kitaev model under a magnetic field. In this work we address the nature of an enigmatic gapless paramagnetic phase in the antiferromagnetic Kitave model, under an intermediate magnetic field perpendicular to the plane. Combining theoretical and numerical efforts, we identify this gapless phase as a $U(1)$ QSL with spinon Fermi surfaces. We also reveal the nature of continuous quantum phase transitions involving this $U(1)$ QSL, and obtain a phase diagram of the Kitaev model as a function of bond anisotropy and perpendicular magnetic field.
Thermoelectric Performances of Free-Standing Polythiophene and Poly(3-Methylthiophene) Nanofilms

Thermoelectric performances of free-standing polythiophene (PT) and poly(3-methylthiophene) (PMeT) nanofilms with high tensile strength electrosynthesized from boron trifluoride diethyl etherate (BFEE) are systematically investigated. They display decent electric conductivity (47 and 73 S cm−1), high Seebeck coefficient (130 and 76 μ V K−1) and low thermal conductivity (0.17 and 0.15 W m−1 K−1) at room temperature. Their figure of merit can reach 3.0 × 10−2 at 250K, higher than that of many other conducting polymers. The decrease of charge carrier concentration resulting from volatile and water-sensitive dopants from BFEE leads to the decrease of electrical conductivity but a substantial increase of the Seebeck coefficient, making their figure-of-merit values maintained at more than 10−2 even after prolonged storage (two months). Moreover, free-standing PT and PMeT exhibit much better thermoelectric performances than those in pressed pellets due to the good arrangement of the polymer chains and preferably oriented structure in films. It therefore provides a way to improve the thermoelectric performances of conducting polymers by controlling regularity of the extended conjugated chain structure and/or the chain packing to achieve high charge mobility.
Nonuniversal 
U(1)X
 extension to the MSSM with three families

We propose a supersymmetric extension of the anomaly-free and three families nonuniversal $U(1)$ model, with the inclusion of four Higgs doublets and four Higgs singlets. The quark sector is extended by adding three exotic quark singlets, while the lepton sector includes two exotic charged lepton singlets, three right-handed neutrinos and three sterile Majorana neutrinos to obtain the fermionic mass spectrum. By implementing an additional $\mathbb{Z}_2$ symmetry, the Yukawa coupling terms are suited in such a way that the fermion mass hierarchy is obtained without fine-tuning. The effective mass matrix for SM neutrinos is fitted to current neutrino oscillation data to check the consistency of the model with experimental evidence, obtaining that the normal-ordering scheme is preferred over the inverse ones. The electron and up, down and strange quarks are massless at tree level, but they get masses through radiative correction at one loop level coming from the sleptons and Higgsinos contributions. We show that the model predicts a like-Higgs SM mass at electroweak scale by using the VEV according to the symmetry breaking and fermion masses.
Using ion production to monitor the birth and death of a metastable helium Bose–Einstein condensate

We discuss observations of the ion flux from a cloud of trapped 23S1 metastable helium atoms. Both Bose–Einstein condensates (BEC) and thermal clouds were investigated. The ion flux is compared with time-of-flight observations of the expanded cloud. We show data concerning BEC formation and decay, as well as measurements of two-and three-body ionization rate constants. We also discuss possible improvements and extensions of our results.
Home learning: an exploration of parents perspectives

ABSTRACT Much home learning research explores the benefits from the perspectives of the child or staff. Less is written about how parent’s view home learning. This became more noticeable recently when nurseries closed because of Covid-19 lockdown. Staff had to design digital home learning activities at speed to help parents support their children’s learning and development while maintaining their relationships with parents. However, we realised we did not know enough about what parents would find helpful and decided to seek their views to categorise their perspectives of home learning and therefore provide more relevant home learning. This paper records a small-scale explorative study in a group of 9 London nurseries where using ethnographic interviews, we sought the views of 15 sets of parents. The study presented some early evidence that parent’s views of home learning can be categorised and suggests an emerging typology made from four groups of parents whose views of home learning reflect their levels of confidence and experience but for some, their views appear to be filtered through the current public debate in England about school readiness.
The Role of Sirtuins in Sarcopenia and Frailty

The population of older individuals is increasing rapidly, but only a small fraction among them is able to experiences a healthy life. Due to lack of physical exercise and oxidative stress, aging leads to sarcopenia and finally end up with frailty. Sarcopenia is a component of the frailty and described as age related degenerative changes in the skeletal muscle mass, strength and quality. Though the loss of muscle strength and mass gradually seem inevitable during aging, it can be partially prevented or overcome by a deeper insight into the pathogenesis. Sirtuin protein leads to longevity across different organisms ranging from worms to mammals. Expression of sirtuin protein increases during physical exercise and thus strengthens muscle mass. Satellite cells leads to muscle repair in a SIRT1 dependent manner. In addition, SIRT1 improves insulin sensitivity and induces autophagy in the aged mice. The current paper discussed the putative role of sirtuins in sarcopenia and frailty. Moreover, it highlighted the pathways by which sirtuins can inhibit ROS production, inflammation and mitochondrial dysfunctions and therefore confers a protective role against frailty and sarcopenia. The critical role of sirtuins in the sarcopenia and frailty pathogenesis can eventually fuel the development of novel interventions by targeting sirtuins.
Semantic space captioner: generating image captions step by step

Abstract. Image captioning is a popular research direction at the intersection of machine vision and natural language processing. Most of the existing image captioning methods adopt an encoder–decoder-like structure in which the image is encoded and fed into a decoder to generate a paragraph describing the image content. Although the existing methods have achieved great results in describing natural images, there is still much room for improvement in describing details. We propose the semantic space captioner model to introduce the concept of dense captioning into image captioning using contrastive language-image pretraining as an encoder for text and images. Dense captions are generated for image regions and are used as an extra semantic space for decoding to enhance the final caption. According to the experimental results, our model outperforms existing methods in generalizing image details and is able to generate diverse and meaningful captions. It also performs well on the MSCOCO dataset-related metrics scores.
Adaptation of Teachers' Perceptions of Grading Practices Scale to Turkish and Examination of Measurement Invariance

Grading is a complicated decision-making process that needs teachers to make value judgements on the learning, accomplishment, and development of their students. When assigning grades, teachers tend to examine a variety of criteria, including students' efforts, work habits, and accomplishments. Grades are a reflection of the value judgements made about students based on the evaluation of their academic performance. Consequently, describing how to reach a value judgment utilizing general measures will contribute to a better understanding of the difficulties encountered throughout the grading process. The purpose of this research is to adapt the Teacher Perceptions of Grading Practices Scale into Turkish and to examine the measurement invariance. This scale, which examines teachers' perceptions of grading methods, has six components: importance, usefulness, student effort, student ability, teacher's grading patterns, and perceived self-efficacy of the grading process. Before adapting the scale, permission was first acquired from the researcher who developed it. To ensure linguistic comparability, bilingual translators were recruited in the second phase. The semantic, experiential, conceptual, and idiomatic equivalence between the two variants of the scale were evaluated. The original and adapted scales were administered to a group of English teachers twice at a predetermined interval, and the consistency between the two applications was analyzed due to the fact that the language employed in the original test was a widely spoken group. Confirmatory Factor Analysis (CFA) was used to examine the factor structure of the original scale. Cronbach's alpha and Omega coefficients were calculated for the reliability of the data obtained from the scale. Finally, the measurement invariance of the scale according to gender was examined by using Multiple Group Confirmatory Factor Analysis (MGCFA), and it was determined that the measurement model fulfilled the criteria of complete gender-group invariance.
Improving Hickson-like compact group finders in redshift surveys: an implementation in the SDSS

Aims. In this work we present an algorithm to identify compact groups (CGs) that closely follows Hickson’s original aim and that improves the completeness of the samples of compact groups obtained from redshift surveys. Methods. Instead of identifying CGs in projection first and then checking a velocity concordance criterion, we identify them directly in redshift space using Hickson-like criteria. The methodology was tested on a mock lightcone of galaxies built from the outputs of a recent semi-analytic model of galaxy formation run on top of the Millennium Simulation I after scaling to represent the first-year Planck cosmology. Results. The new algorithm identifies nearly twice as many CGs, no longer missing CGs that failed the isolation criterion because of velocity outliers lying in the isolation annulus. The new CG sample picks up lower surface brightness groups, which are both looser and with fainter brightest galaxies, missed by the classic method. A new catalogue of compact groups from the Sloan Digital Sky Survey is the natural corollary of this study. The publicly available sample comprises 462 observational groups with four or more galaxy members, of which 406 clearly fulfil all the compact group requirements: compactness, isolation, and velocity concordance of all of their members. The remaining 56 groups need further redshift information of potentially contaminating sources. This constitutes the largest sample of groups that strictly satisfy all the Hickson’s criteria in a survey with available spectroscopic information.
The Nature of Near-Ultraviolet-selected Objects in the Chandra Deep Field-South

We present the first results of the pure parallel near-UV observations with the Wide Field Planetary Camera 2 (WFPC2) in the Chandra Deep Field-South. The main goal is to search for the population of objects that contributes to the rise in the volume-averaged star formation rate at intermediate redshifts (z < 1). A total of 34 objects were identified in the WFPC2 images and their counterparts found in images from the Advanced Camera for Surveys. We use template fitting of the spectral energy distributions to classify the objects and found that 17 are starbursts, nine are late-type galaxies, two are early-type galaxies, and six are stars; two of the late types and one of the starbursts are X-ray sources. The colors of the starbursts were reproduced by the stellar evolutionary synthesis code Starburst99, which shows a mixed population of bursts with ages less than 1 Gyr. Analysis of the light concentration, asymmetry, and clumpiness shows that this sample is a mixed bag, containing dwarf ellipticals, early and late spirals, and peculiar objects that resemble mergers in progress.