Miracle-dz/UniFAR-FTUs huggingface dataset:
Study of Happiness with Online Learning in Covid-19 among the Students at Suan Dusit University, Thailand

This research examined happiness with online learning among 2,190 undergraduate students at Suan Dusit University (SDU), who studied online in the first semester of the 2021 academic year. The data were collected from online happiness assessment forms completed by the SDU students. Frequencies, percentages, means, and standard deviations were calculated, and t-tests and one-way ANOVA were performed to analyze the data. The results indicated that students’ overall happiness with their online learning was at a moderate level. The students were also satisfied with their studies at a moderate level. They were also moderately proud of the university and were comfortable with online learning, especially regarding the instructors, online instruction, the instructional activities, and lesson content. Students of different genders all enjoyed learning with the online instructional system, as arranged by SDU, at the same level. However, students from different majors, different years, different faculties or schools, different learning campuses or centers, and with different average monthly allowances, enjoyed their online learning at SDU differently.
In situ assessment of lens elasticity with noncontact optical coherence elastography.

Lens biomechanics has great potential for application in clinical diagnostics and treatment monitoring of presbyopia and cataracts. However, current approaches to lens elastography do not meet the desired safety or sensitivity for clinical application. In this regard, we propose a noncontact optical coherence elastography (OCE) method to facilitate quantitative in situ imaging of lens elasticity. Elastic waves induced by air-pulse stimulation on the limbus propagate to the lens and are then imaged using custom-built swept-source optical coherence tomography to obtain the elastic wave velocity and Young's modulus. The proposed OCE method was first validated by comparing the results of in situ and in vitro measurements of porcine lenses. The results demonstrate that the Young's modulus measured in situ was highly consistent with that measured in vitro and had an intraclass correlation coefficient of 0.988. We further investigated the elastic changes induced by cold storage and microwave heating. During 36-hour cold storage, the mean Young's modulus gradually increased (from 5.62 ± 1.24 kPa to 11.40 ± 2.68 kPa, P < 0.0001, n = 9) along with the formation of nuclear opacities. 15-second microwave heating caused a greater increase in the mean Young's modulus (from 6.86 ± 1.21 kPa to 25.96 ± 8.64 kPa, P < 0.0025, n = 6) without apparent cataract formation. Accordingly, this study reports the first air-pulse OCE measurements of in situ lenses, which quantified the loss of lens elasticity during simulated cataract development with good repeatability and sensitivity, thus enhancing the potential for adoption of lens biomechanics in the clinic.
Increased CCR4+ and Decreased Central Memory CD4+ T Lymphocytes in the Background Gastric Mucosa of Patients Developing Gastric Cancer After Helicobacter pylori Eradication: An Exploratory Study

The composition of lymphocytes in the gastric mucosa following the eradication of Helicobacter pylori (H. pylori) in patients with and without gastric cancer has not been compared. This study performed a single spot analysis of gastric mucosal lymphocytes after H. pylori eradication in patients with (n = 13) and without (n = 20) gastric cancer. Our comprehensive analysis of lymphocyte composition in the gastric mucosa revealed that: i) the proportion of CD8+/CD3+ cells was relatively higher in the peri-tumor mucosa than in the background mucosa; ii) the proportion of CCR4+/CD3+ cells was higher, and the ratio of CD62L+/CD3+CD4+ cells was relatively lower in the gastric mucosa of cancer patients than in non-cancer patients; and iii) the proportion of CD45RA−CD62L+/CD3+CD4+ cells, namely, the central memory CD4+ T-cell fraction, was lower in the gastric mucosa of cancer patients than in non-cancer patients. Although the exact mechanism of the altered proportions of CCR4+/CD3+ and central memory CD4+ cells in the gastric mucosa of patients with cancer is unknown, focusing on lymphocytes in the gastric mucosa might help improve our understanding of gastric cancer development after H. pylori eradication.
Special Kähler geometry of the Hitchin system and topological recursion

We investigate the special Kahler geometry of the base of the Hitchin integrable system in terms of spectral curves and topological recursion. The Taylor expansion of the special Kahler metric about any point in the base may be computed by integrating the $g = 0$ Eynard-Orantin invariants of the corresponding spectral curve over cycles. In particular, we show that the Donagi-Markman cubic is computed by the invariant $W^{(0)}_3$. We use topological recursion to go one step beyond this and compute the symmetric quartic of second derivatives of the period matrix.
Dynamics of subcritical threshold solutions for energy-critical NLS

In this paper, we study the dynamics of subcritical threshold solutions for focusing energy critical NLS on $\mathbb{R}^d$ ($d\geq 5$) with nonradial data. This problem with radial assumption was studied by T. Duyckaerts and F. Merle in \cite{DM} for $d=3,4,5$ and later by D. Li and X. Zhang in \cite{LZ} for $d \geq 6$. We generalize the conclusion for the subcritical threshold solutions by removing the radial assumption for $d\geq 5$. A key step is to show exponential convergence to the ground state $W(x)$ up to symmetries if the scattering phenomenon does not occur. Remarkably, an interaction Morawetz-type estimate are applied.
An asymptotic preserving scheme for kinetic models with singular limit

We propose a new class of asymptotic preserving schemes to solve kinetic equations with mono-kinetic singular limit. The main idea to deal with the singularity is to transform the equations by appropriate scalings in velocity. In particular, we study two biologically related kinetic systems. We derive the scaling factors and prove that the rescaled solution does not have a singular limit, under appropriate spatial non-oscillatory assumptions, which can be verified numerically by a newly developed asymptotic preserving scheme. We set up a few numerical experiments to demonstrate the accuracy, stability, efficiency and asymptotic preserving property of the schemes.
Fractional Brownian motion and asymptotic Bayesian estimation

In this paper, we study the recovery of the Hurst parameter from a given discrete sample of fractional Brownian motion with statistical inverse theory. In particular, we show that in the limit the posteriori distribution of the parameter given the sample determines the parameter uniquely. In order to obtain this result, we first prove various strong laws of large numbers related to the problem at hand and then employ these limit theorems to verify directly the limiting behaviour of posteriori distributions without making additional technical or simplifying assumptions that are commonly used.
Uncertainty relations \`a la Landau-Pollak for Positive Operator Valued Measures

We provide a twofold extension of Landau–Pollak uncertainty relations for mixed quantum states and for POVM sets, by recourse to geometric considerations. The generalization is based on distances between pure states, having the form of a function of the square of the inner product between the states. The triangle inequality satisfied by such a distance plays a crucial role in our derivation. The usual Landau–Pollak inequality is thus a particular case (derived from the Wootters metric) of the family of inequalities obtained, and, moreover, we show that it is the most restrictive relation.
A Recommender System Method for Children’s Education Using Mobile Technology

In the last decade, we have seen attention and scientific research in using technology, especially the mobile technology, in education. The critical effects of technology in child education are increasing motivation, the self-confidence of children and their group cooperation. The purpose of this research is to provide a child educational recommender system using mobile technology, which includes decision making and real-time monitoring of the educational status of each child, personalization of educational materials based on the educational status of each child, recommendation of educational materials based on the extent of their dissemination in the children’s educational network, etc. In this research, the type of research based on the objective is applied research. The statistical population includes children between the ages of 8 and 10 years. The child’s educational recommender system includes input, processing and output. The mobile technology was used to track each child’s educational activity and educational status and turn them into input keywords of the recommender system. In the processing section, various matching functions are provided to match each child’s detected educational status with the educational documents. Finally, in the output section, educational documents adapted to each child’s needs are e-mailed to the mobile phone of the child’s parents. Because children cannot recognize and express their educational needs, in the proposed recommender system, all phases, from the recognition of children’s educational activity and diagnosis of the educational status of each child to the presentation of educational documents related to the diagnosed educational status, have been done automatically. The educational recommender system is simulated using NetLogo and R. Also, the implementation of the educational recommender system has been done on 36 children. According to the results, the educational recommender system was able to increase children’s learning more than twice.
The Role of Luxury in Rituals and Its Transformative Potential for Consumer Well-Being

Driven by social media to capture each moment in life and to “keep up with the Joneses,” nearly every ritual is now cause for luxury consumption, fostering a culture in which bigger and grander is better. However, this commentary raises questions about these practices. How much is too much? What is truly better? Macromarketers must continue to weigh in on these issues. This commentary melds literature on consumer rituals, transformative luxury, and consumer well-being to explore what happens when consumers begin incorporating elements of luxury into more mundane and personal, but highly visible, ritual consumption practices, such as gender-reveal celebrations, divorce parties, and preschool graduations. We elucidate the field of transformative luxury research, examining the ways new and adapted rituals (infused with luxury) transform individual lives and culture, the impact of ritual disruptions, the roles of external influencers (e.g., social media, marketing), and the positive and negative impacts of these practices on consumer well-being.
Research of Methods of Control and Management of the Quality of Butter on the Basis of the Neural Network

The work is devoted to the problem of neuro-forecasting, based on the use of a set of methods to optimize the process of building a neural network model, which will improve the quality of production of a product that meets the specified indicators. The proposed methods will predict the quality of the finished product when changing technological parameters, due to the ability of neural network models to self-study.
Droplet-Dispensed Graphene Oxide as Capacitive Sensing Elements for Flexible Pressure-Pulse Sensing Array

We report a novel flexible capacitive pressure-pulse sensor array developed by integrating droplet-dispensed graphene oxide (GO) sensing elements and flexible electronics. The utilization of droplet-dispensing technology enables the fabrication multiple capacitive sensing elements rapidly while producing sensitive pressure sensors with excellent repeatability. The dispensed droplet volume (GO aqueous dispersion) ranged from around 33.5 to 65.4 pL with diameter ranging from 40 to 50 μm. The size (i.e., footprint and dielectric material thickness) of a sensing element can be controlled by the total GO dispersed per droplet. The fabrication process and preliminary characterization of these GO capacitive sensors are discussed in this paper. Thus far, we have shown that these sensors have a sensitivity of ∼10−3 kPa−1, with the relative permittivity of the dispensed GO being ∼6 (measured at a frequency of 600 kHz). We have also demonstrated that the printed sensing elements can be used for human wrist pulse sensing. Hence the technology described in this paper could potentially be used in wearable electronics for healthcare applications.
Sagn og fremgravd «virkelighet» om Vonde-Sveinung og den ihjelslagne dvergen Fegge

A legend tells the dramatic and colourful story of the farmer Sveinung the Cruel and how he killed a dwarf (in Norwegian tusse/dverg) named Fegge in his smithy at the farm Heggtveit in Kviteseid, Norway. In the story the smithy is positioned below the hill Smiuberget (lit. Smithy Hill). During an excavation in 2020, a relatively well-preserved smithy from the 13th century was excavated at the place described in the legend. The discovery offered a unique opportunity to explore the complex and dynamic relationship between the rich record of Norwegian folklore, excavated “reality” and the history of place names. Because of this complexity, the authors argue that to seek the “real” roots of the legend is a difficult and maybe also a meaningless task. Rather, they argue that the history of Fegge`s death and other legends are valuable sources to immaterial aspects of the region’s Medieval and Renaissance metal crafting.
Units of Behavior

Etude des types de comportement animal que la psychologie cognitive est a meme d'expliquer. Defendant l'hypothese de l'existence de certaines unites du comportement -dites unites molaires- dans le regne animal, l'A. montre que ces unites obeissent a des lois psychologiques autres que celles du systeme limbique (internalisme), c'est-a-dire qu'elles s'inscrivent dans le repertoire fonctionnaliste du comportement de l'organisme
Combinatorial canonical form of layered mixed matrices and its application to block-triangularization of systems of linear/nonlinear equations

With a view to obtaining an efficient procedure for solving large-scale systems of equations, canonical block-triangular forms are defined for layered mixed matrices and for mixed matrices, and some practical examples are presented. The canonical forms are obtained from a straightforward application of the decomposition principle for submodular functions. The relation to the existing decomposition techniques for electrical networks, as well as to the Dulmage–Mendelsohn decomposition, is also discussed.
The Weitzenbock formula for the Fueter–Dirac operator

We find Weitzenbock formula for the Fueter-Dirac operator which controls the infinitesimal deformations of an associative submanifold in a $7$--manifold with a $G_2$--structure. We establish a vanishing theorem to conclude rigidity under some positivity assumptions on curvature, which are particularly mild in the nearly parallel case. As applications, we give a different proof of rigidity for one of Lotay's associatives in the round $7$-sphere from those given by Kawai. We also provide simpler proofs of previous results by Gayet for the Bryant-Salamon metric. Finally, we obtain an original example of a rigid associative in a compact manifold with locally conformal calibrated $G_2$-structure obtained by Fernandez-Fino-Raffero.
Iron oxide nanoparticles in different modifications for antimicrobial phototherapy

The main goal of this study was to investigate the sensitivity of microorganisms to combined action of blue light and iron oxide nanoparticles. Two strains of Staphylococcus aureus – methicillin-sensitive and meticillin-resistant were used. As a blue light source LED with spectral maximum at 405 nm was taken. The light exposure was ranged from 5 to 30 min. The Fe2O3 (diameter ∼27 nm), Fe3O4 nanoparticles (diameter ∼19 nm), and composite Fe2O3/TiO2 nanoparticles (diameter ∼100 nm) were synthesized. It was shown that irradiation by blue light caused from 20% to 88% decrease in the number of microorganisms treated with nanoparticles. Morphological changes in bacterial cells after phototreatment were analyzed using scanning electron microscope.
Orthogonal Array-Based Latin Hypercubes

Abstract In this article, we use orthogonal arrays (OA's) to construct Latin hypercubes. Besides preserving the univariate stratification properties of Latin hypercubes, these strength r OA-based Latin hypercubes also stratify each r-dimensional margin. Therefore, such OA-based Latin hypercubes provide more suitable designs for computer experiments and numerical integration than do general Latin hypercubes. We prove that when used for integration, the sampling scheme with OA-based Latin hypercubes offers a substantial improvement over Latin hypercube sampling.
An Overview of Antitumour Activity of Polysaccharides

Cancer incidence and mortality are rapidly increasing worldwide; therefore, effective therapies are required in the current scenario of increasing cancer cases. Polysaccharides are a family of natural polymers that hold unique physicochemical and biological properties, and they have become the focus of current antitumour drug research owing to their significant antitumour effects. In addition to the direct antitumour activity of some natural polysaccharides, their structures offer versatility in synthesizing multifunctional nanocomposites, which could be chemically modified to achieve high stability and bioavailability for delivering therapeutics into tumor tissues. This review aims to highlight recent advances in natural polysaccharides and polysaccharide-based nanomedicines for cancer therapy.
Dimension bound for badly approximable grids

We show that for almost any vector $v$ in $\mathbb{R}^n$, for any $\epsilon>0$ there exists $\delta>0$ such that the dimension of the set of vectors $w$ satisfying $\liminf_{k\to\infty} k^{1/n} \ge \epsilon$ (where $ $ denotes the distance from the nearest integer), is bounded above by $n-\delta$. This result is obtained as a corollary of a discussion in homogeneous dynamics and the main tool in the proof is a relative version of the principle of uniqueness of measures with maximal entropy.
Design of a Spoke Type PMSM With SMC Stator Core for Traction Applications

This article presents four different slot/pole configurations to select the best slot/pole for a traction application with a wide speed range. The electromagnetic performances are improved for the selected slot/pole configuration. This paper presents a modified spoke type rotor that significantly reduces the torque ripple, back electromagnetic force (EMF) harmonics, and cogging torque from conventional spoke type designs. The effectiveness of the modified spoke type rotor is proved with state-of-the-art designs such as Toyota Prius and Honda Accord motors. Along with the modified spoke type rotor it focuses on a segmented soft magnetic composite (SMC) stator core to improve the copper fill factor and improve torque density by reducing the tooth length to allow additional space for the end windings within the stack length of the motor. A comparison between the laminated steel stator and SMC stator is presented. The laminated motor is capable of producing higher torque than the SMC motor when both machines are designed to operate with the same temperature, though the torque density in terms of volume of SMC motor is higher than the laminated motor. In all cases, the machines are designed to fit into the same frame. A cost comparison has been presented between the SMC and laminated motors, which proves that the SMC motors can be manufactured much cheaper than the laminated motors. Also, SMC stator design presents axial magnet segmentation, optimal flux weakening, thermal analysis, stator stress analysis due to electromagnetic forces, and a rotor mechanical stress analysis.
Facial Expression Features Analysis With Transfer Learning

Interpreting facial expressions is an important task for human beings since they convey their inner feelings through facial expressions. Then, facial expressions are significant visual signals to recognize human emotions. They are used in human communication and machines to build a good interaction system by analyzing human emotional behaviors. Therefore, facial expression recognition is an important study in Human-Computer Interaction. Compared to the past, which focused on traditional feature extraction methods for facial expression recognition, the current state of the arts emphasizes deep learning based approaches. The drawback of deep learning based methods is that they require a massive amount of data. Therefore, in this study, we apply transfer learning to the pre-trained deep learning models to recognize the facial expression and compare their results. The experiments were conducted on the Extended Cohn Kanade Facial Expressions Dataset (CK+), and approximately 92% accuracy in facial expression recognition was obtained with the EfficientNet B0 model. In addition, the discriminatory facial expression features of the model were reported.
Conversion of agro-industrial wastes into non-toxic protein-rich food additives by basidial fungi strains isolated from diverse ecosystems of Georgia

Great interest to basidial fungi is determined by their potential to convert number of lignocellulosic wastes into nontoxic compounds, cheap food, pharmaceuticals, etc. The majority of basidial fungi strains are characterized by high activity of enzymes degrading plant biopolymers, including lignin, which attracts special attention because of their use in different industries and medicine. Among 53 tested basidial fungi strains best results were obtained by Pleurotus drynus IN11 and Ganoderma sp. GV02 strains while growing on orange wastes, where 20% and 27% of protein, respectively, and up to 50% of carbohydrates were accumulated. After 10 - 20 days of solid state fermentation (SSF) in the same biomass the content of lignin was detected only in trace amounts. The content of microelements was (mg/kg): calcium 1200 - 6200, potassium 2100 - 2800, and sodium 90 - 708. Further investigation of strains allowed selection of active producers of soluble polysaccharides among which Pleurotus ostreotus and the representatives of genus Ganoderma sp. (10 - 14 g/L) were the most active. During the submerged fermentation (SF) the highest potential to produce extracellular antioxidants were detected in several strains of Ganoderma sp. (up to 6 g/L). Some selected Ganoderma strains expressed very high laccase extracellular activity (about 125000 U/L).