Miracle-dz/UniFAR-FTUs huggingface dataset:
Poiseuille, thermal transpiration and Couette flows of a rarefied gas between plane parallel walls with nonuniform surface properties in the transverse direction and their reciprocity relations

Slow flows of a rarefied gas between two plane parallel walls with nonuniform surface properties are studied based on kinetic theory. It is assumed that one wall is a diffuse reflection boundary and the other wall is a Maxwell-type boundary whose accommodation coefficient varies periodically in the direction perpendicular to the flow. The time-independent Poiseuille, thermal transpiration and Couette flows are considered. The flow behavior is numerically studied based on the linearized Bhatnagar–Gross–Krook–Welander model of the Boltzmann equation. The flow field, the mass and heat flow rates in the gas, and the tangential force acting on the wall surface are studied over a wide range of the gas rarefaction degree and the parameters characterizing the distribution of the accommodation coefficient. The locally convex velocity distribution is observed in Couette flow of a highly rarefied gas, similarly to Poiseuille flow and thermal transpiration. The reciprocity relations are numerically confirmed over a wide range of the flow parameters.
ONTOLOGY BASED TECHNICAL SKILL SIMILARITY

Online job boards have become a major platform for technical talent procurement and job search. These job portals have given rise to challenging matching and search problems. The core matching or search happens between technical skills of the job requirements and the candidate's profile or keywords. The extensive list of technical skills and its polyonymous nature makes it less effective to perform a direct keyword matching. This results in substandard job matching or search results which misses out a closely matching candidate on account of it not having the exact skills. It is important to use a semantic similarity measure between skills to improve the relevance of the results. This paper proposes a semantic similarity measure between technical skills using a knowledge based approach. The approach builds an ontology using DBpedia and uses it to derive a similarity score. Feature based ontology similarity measures are used to derive a similarity score between two skills. The ontology also helps in resolving a base skill from its multiple representations. The paper discusses implementation of custom ontology, similarity measuring system and performance of the system in comparing technical skills. The proposed approach performs better than the Resumatcher system in finding the similarity between skills. Keywords—Semantic similarity, Job recommender systems, Job search, Ontology based similarity. ONTOLOGY BASED TECHNICAL SKILL SIMILARITY 4
Evaluating time-limited and persistent symptoms of adjustment disorder in cancer patients after a colorectal cancer diagnosis: a longitudinal observational study

Abstract Background: Patients with colorectal cancer (CRC) may experience symptoms of adjustment disorder (AD) after cancer diagnosis and treatment. Time-limited symptoms of AD may become persistent if the stressor or its consequences have not disappeared after 6 months, but evidence on the course of AD symptoms is scarce. This longitudinal observational study investigates the proportion of patients with CRC with time-limited and persistent AD symptoms within the first year after diagnosis, in relation to demographic, clinical, and psychological factors and health-related quality of life (HRQoL). Methods: Informed consent was retrieved from 232 participants, and 194 participants completed questionnaires at baseline, 3, 6, and 12 months postdiagnosis. Hospital Anxiety and Depression Scale total scores (HADS-T) were categorized as indication for no symptoms of a mental disorder (MD) (HADS-T ≤10), AD symptoms (HADS-T 11–14), and other MD symptoms (HADS-T ≥15). Symptom subgroups over time were a priori defined: no MD, time-limited AD, persistent AD, other MD, and fluctuating symptoms. Results: Complete data were available for 81 participants (41.4%). Over time, 38.3% had no MD symptoms, 8.6% had time-limited AD symptoms, 1.2% had persistent AD symptoms, 4.9% had other MD symptoms, and 46.9% had fluctuating symptoms. Participants with AD and fluctuating symptoms reported higher fear of cancer recurrence, lower HRQoL, and higher cancer-specific distress than participants without MD symptoms (P < .5). Conclusions: During the first year after CRC diagnosis, only a small proportion of the patients showed time-limited and persistent AD symptoms and most showed fluctuating symptoms. More prospective research is needed to determine how repeated assessments for elevated AD symptoms relate to an AD diagnosis established with a diagnostic interview.
A Review on Image Super Resolution Using Deep Learning Network

The process of obtaining great resolution copy from a low resolution image is known as image resolution. Image super resolution is one of the recent techniques for improving the resolution of an image. The application is to give an improved visual result after resizing a given digital image for printing or display. In the range of medical imaging, solo image super resolution (SISR) has an extensive range of applications. The learning based methods have an ample range of attention because of their ability in calculating the high frequency parts which might be absent in short resolution images. This paper offers a review on utmost of the effort done to improve the image resolution by means of Deep Convolutional Neural Networks.
Alveolar growth abnormality in an infant with atrial septal defect: a case report

Alveolar growth abnormality is a rare paediatric diffuse lung disease. We report a case of a term girl with atrial septal defect and respiratory failure in early infancy. Lung biopsies demonstrated alveolar simplification. Timely surgical correction of atrial septal defect was temporally associated with resolution of respiratory symptoms.
The future of the European automobile industry Is zero-carbon possible with zero job loss? Country Study: Hungary

The automotive industry has been a key driver of Hungary’s economic growth and led the country’s integration into global value chains. Through this, the country became a prominent element of the European automotive sector by providing the manufacturing know-how and low wages essential to ensure the competitiveness of especially German original equipment manufacturers (OEMs), such as Audi or Mercedes Benz (Pavlínek, 2017; Gerőcs & Pinkasz, 2019). The sector’s rise has continued on the back of a favourable business environment and ample foreign direct investment (FDI), contributing to economic growth, exports, and job-creation (Guzik et al., 2020; Jürgens & Krzywdzinski, 2009; Pavlínek, 2020). Over the years, manufacturers streamlined internal combustion engine production, but the sector may be confronted with its largest challenge yet: the shift to electric vehicles (EV). The Hungarian automotive sector and the jobs it provides are vulnerable to the long-term changes unfolding in the transportation sector, the impacts of which remain unclear. This study begins to explore how actors within the sector assume these dynamics to unfold.
Muslim Friendly Hotel (MFH) in Malaysia: Understanding the Market

: The increasing number of Muslim travellers has led to the increase of demand and supply in Islamic tourism and hospitality industry. Due to this trend, hotel providers have provided innovative services, and Muslim-Friendly Hotel has been created specifically to cater the needs of Muslim travellers. Perceived value is acknowledged as an influential measure of customer satisfaction and behavioural intention. However, only a limited amount of empirical research has been made on the relationship between perceived value, satisfaction, and behavioural intentions towards Muslim-friendly Hotel in the context of Muslim tourists. Although researchers have proposed theoretical knowledge and provided empirical evidence on the concept of perceived value, only a few studies have applied this concept in the Muslim tourist’s perspective. It is important to understand the relationship between concept-perceived value, satisfaction, and behavioural intention of Muslim tourist, for the sustainability of a competitive business. Therefore, a survey was made on 386 Muslim tourists who have experienced the services provided from the selected Muslim-friendly hotels in Malaysia. Partial Least Square algorithm (PLS-SEM), with the aid of Smart PLS software, was used to test and validate the reliability of the scales. The findings from this study indicate that service quality, physical attribute, emotional and nonphysical attribute are four interrelated factors, which collectively contribute to Muslim tourists’ satisfaction. Besides that, the findings also confirm the roles of satisfaction as a mediator in the relationship between (i) service quality, (ii) Islamic physical attribute, (iii) emotional and (iv) Islamic nonphysical attribute with behavioural intentions. These findings contribute to the theory of consumer’s behaviour by examining the behavioural intention of Muslim tourist, in the context of Muslim-Friendly Hotel. In terms of practical implications, the findings may also assist tourism providers and marketers in establishing and developing Islamic tourism product and services by meeting the needs of Muslim tourists.
Multifunctional verification for visible-wavelength coherent transceiver using SHG process based on the modulation at fundamental wavelength

: Traditional coherent communication and coherent Doppler lidar systems utilized for the application in the atmospheric field employ the laser source of infrared wavelengths. In the ocean field, the visible wavelength is suitable owing to minimized attenuation effect. Although the most of past studies employ the direct detection method, the communication and measurable distance could be limited by low detection sensitivity. From these backgrounds, we have been developing the “coherent” transceiver at visible wavelength of 532 nm. In this work, we use SHG process based on the modulation at fundamental wavelength of 1064 nm. We confirmed the validity of the basic performance of the coherent transceiver by observing the beat signals at receiver side using a spatially fixed mirror. In addition, to confirm its function as a lidar, we observed the Doppler signal from moving diffuse hard and soft targets.
Production of radical species by electron beam deposition in an ArF* lasing medium

The electron-beam-pumped ArF laser is a laser technology capable of providing very high lasing energies at the shortest wavelength (λ = 193 nm) among the rare gas halide lasers and therefore has the potential to be a superior driver for inertial fusion. The electron kinetics are rigorously treated by numerically solving the steady-state, spatially averaged electron Boltzmann equation in Ar-F2 gas. The e-beam energy deposition and collisional reaction rates with electrons are calculated from the electron energy distribution function for a wide range of e-beam deposition powers (Pbeam = 10 kW/cm3–3 MW/cm3) and fluorine concentrations ( xF2 = 0.01 – 10%). The rates are reduced to a set of coefficients that are fitted with analytical formulas as a function of two universal parameters: Pbeam/p and xF2, where p is the gas pressure. It is found that in the regime of high e-beam power deposition, the fluorine molecules are rapidly destroyed through dissociative attachment and neutral dissociation. The loss of F2 .
Moderasi Keterbukaan Perdagangan Pada Pendapatan Per Kapita Dan Foreign Direct Investment Terhadap Penerimaan Pajak Di ASEAN-5

Kinerja perpajakan di wilayah Asia Tenggara, khususnya ASEAN-5 yang terdiri dari Indonesia, Malaysia, Filipina, Singapura, dan Thailand, masih relatif rendah di bawah “titik kritis” menurut Bank Dunia dengan rata-rata penerimaan pajak hanya sebesar 13%. Oleh karena itu, penting untuk mempelajari konsep kinerja perpajakan secara lebih mendalam. Penelitian ini dilakukan untuk menguji moderasi keterbukaan perdagangan pada pendapatan per kapita dan Foreign Direct Investment terhadap penerimaan pajak. Penelitian ini menggunakan data panel terhadap negara ASEAN-5 pada periode 2008-2018. Pendekatan yang digunakan adalah metode kuantitatif dengan regresi linier berganda. Berdasarkan pengujian model panel, Pooled Least Square merupakan model yang terbaik. Secara simultan seluruh variabel berpengaruh terhadap penerimaan pajak. Secara parsial, pendapatan per kapita berpengaruh positif signifikan terhadap penerimaan pajak dan setelah dimoderasi dengan variabel keterbukaan perdagangan ternyata memperlemah hubungan positif antara pendapatan per kapita dengan peneriman pajak. Sementara itu, FDI baik secara parsial maupun setelah dimoderasi dengan variabel keterbukaan perdagangan tidak memiliki pengaruh yang signifikan terhadap penerimaan pajak. Berdasarkan hasil penelitian ini diperlukan kebijakan yang komprehensif dan tepat oleh setiap negara di ASEAN-5 agar keterbukaan perdagangan dapat meningkatkan penerimaan pajak dan memperkuat hubungan antara pendapatan per kapita dan FDI terhadap penerimaan pajak.
Global gradient estimates for asymptotically regular problems of p(x)-Laplacian type

We study an asymptotically regular problem of [Formula: see text]-Laplacian type with discontinuous nonlinearity in a nonsmooth bounded domain. A global Calderón–Zygmund estimate is established for such a nonlinear elliptic problem with nonstandard growth under the assumption that the associated nonlinearity has a more general kind of the asymptotic behavior near the infinity with respect to the gradient variable. We also address an optimal regularity requirement on the nonlinearity as well as a minimal geometric assumption on the boundary of the domain for the nonlinear Calderón–Zygmund theory in the setting of variable exponent Sobolev spaces.
Multiphoton signal increase due to repetition rate doubling in a photonic crystal rod

Multiphoton microscopy (MPM) has benefitted dramatically from the development of fiber-based technology. Among these technologies, soliton self-frequency shift (SSFS) in photonic crystal (PC) rods uniquely combines high soliton energy (~100 nJ) and broad wavelength tuning range (>100 nm). Recently, high-energy, 1700-nm femtosecond pulses generated by SSFS in a PC rod enabled 3-photon microscopy of mouse hippocampus in vivo. Below damage threshold, acquisition speed is proportional to the repetition rate of the laser. Here we demonstrate a technique for increasing the soliton repetition rate in a PC rod. Through polarization division and polarization multiplexing, we can double the repetition rate of the optical solitons generated in a PC rod. The orthogonally polarized solitons have virtually the same spectrum, pulse width and energy. As an application, we demonstrate that compared with single-polarization soliton, imaging signals are increased by two fold in MPM using our technology, corresponding to the repetition rate doubling of the optical solitons. We expect this technology will help increase the imaging speed or signal levels in MPM. Besides, this technology may overcome the signal generation limit due to the maximum available soliton energy from solid-core PC rods.
Robust and sparse canonical correlation analysis based L 2,p -norm

The objective function of canonical correlation analysis (CCA) is equivalent to minimising an L 2-norm distance of the paired data. Owing to the characteristic of L 2-norm, CCA is highly sensitive to noise and irrelevant features. To alleviate such problem, this study incorporates robust feature extraction and group sparse feature selection into the framework of CCA, and proposes a feature fusion method named robust and sparse CCA (RSCCA). In RSCCA, L 2,p -norm is adopted as the distance measurement of paired data, which can alleviate the effect of noise and irrelevant features and achieve robust performance. The experimental results show that our method outperforms CCA and its variants for feature fusion.
Publicly Released Prompt Radiation Spectra Suitable for Nuclear Detonation Simulations

Abstract : This technical report describes unclassified source leakage spectra that can be used to simulate a nuclear device or weapon in a radiation transport model. The subsequent radiation transport model results are essential input for civilian emergency planning, consequence assessment, and medical countermeasure development. This report suggests that the four sets of neutron and photon spectra are the most suitable for simulations: the two spectra sets from Hiroshima and Nagasaki fission weapons and two spectra sets from DNA 4267F. These were chosen by the authors due to the relative completeness of their quantitative description. An associated spreadsheet document is available with this technical report that provides numerical data sets to support radiation transport modeling.
Non-blind deconvolution of the residual tip-tilt error of the Sunrise Solar Observatory

The Sunrise observatory consists of a one-meter solar telescope operated in the gondola of a stratospheric balloon. The first two science flights of Sunrise have shown the unreached imaging quality at lower costs than satellitebased missions, as well as a general problem of balloon missions: Micro-vibrations have occurred during parts of the observation time and made the determination of the point spread function difficult. This paper introduces an adaption of deconvolution from wave-front sensing (DWFS) as a possible solution. The case of vibrations in the common path is verified in simulations. The utilization of high-cadence spectro-polarimeters is approached in order to extend DWFS to non-common path errors at the scientific camera.
Self-concept, learning anxiety, and performance in mathematics learning: The moderating effect of teacher cognitive activation

Mathematics is a critical domain in education, and students’ performance and motivation levels can vary greatly when learning mathematics. Using data obtained from PISA 2012 assessment on the US high school students’ mathematics learning, this study examined the underlying mechanism through which mathematics self-concept affects students’ mathematics performance. Utilizing a regression-based PROCESS macro, the study revealed that students’ mathematics self-concept can have a significant impact on their mathematics performance by reducing mathematics learning anxiety. Additionally, an ordinary least squares regression indicated that the positive impact of mathematics self-concept on reducing mathematics learning anxiety was amplified by teacher cognitive activation. The findings of this study provide valuable insights into the importance of teacher support and student self-concept in promoting mathematics education. The results indicate that students’ mathematics self-concept should be nurtured to help them develop a positive attitude towards mathematics and reduce anxiety levels, leading to better performance. Additionally, teachers can play a crucial role in helping students overcome mathematics learning anxiety by promoting cognitive activation.
USO DE HIDROGEL E MULCHING NA SOBREVIVÊNCIA E CRESCIMENTO DE ESPÉCIES ARBUSTIVAS E ARBÓREAS

O objetivo da pesquisa foi avaliar a influência do uso de hidrogel e mulching de cobertura morta sobre a sobrevivência e crescimento de mudas de Rhododendron simsii, Schinus spp. (S. terebinthifolia e S. molle) e Cupressus lusitanica. Para isso foram instalados três blocos, contendo quatro tratamentos inteiramente casualizados: T1: Tratamento controle (irrigação tradicional, sem mulching); T2: aplicação de hidrogel e sem mulching, T3: aplicação de hidrogel e com mulching e T4: irrigação tradicional e com mulching. A sobrevivência foi próxima a 100% para todas as espécies e tratamentos. Não houve efeito dos tratamentos sobre as variáveis avaliadas para R. simsii. Para Schinus spp. , o tratamento T3 resultou em incremento em diâmetro da base significativamente superior do que T4 (TCRd; F = 3,13; p = 0,03). Para C. lusitanica, todas as variáveis avaliadas tiveram 3,50= 66,5; p ≤ 0,01; altura total (cm): F = 5,69; p ≤ 0,01; TCRd: F = 5,14; p ≤ 0,01; TCRh: F seu custo de implantação e manutenção é inferior ao sistema de irrigação por gotejamento e todas as espécies avaliadas apresentaram crescimento em altura e diâmetro igual ou superior à irrigação convencional.
Genome-wide identification of papain-like cysteine proteases in Citrus sinensis and expression analysis in response to Candidatus Liberibacter asiaticus

ABSTRACT Papain-like cysteine proteases (PLCPs) play important roles in plant-pathogen interactions. In citrus, PLCPs are targeted by effectors from Candidatus Liberibacter asiaticus (CLas), the causal agent of Huanglongbing (HLB). To study interactions between Citrus sinensis and CLas, we identified 33 candidate CsPLCP genes by HMMsearch with the Peptidase_C1 domain (PF00112), and further confirmed them using local BLAST with PLCP sequences from Arabidopsis thaliana. The 33 CsPLCPs were classified into 9 subfamilies. Analysis of the cis-acting elements in their promoters indicated that CsPLCPs are responsive to various phytohormones and stressors. Further qPCR analysis indicated that several CsPLCPs were up-regulated during CLas infection. Subcellular localization analysis indicated that five CsPLCPs were localized to the cytoplasm and nucleus, while CsXBCP2 was localized only to the cytoplasm. In summary, this study provides a sound basis for understanding the roles of CsPLCPs in the Citrus-CLas interaction.
Modeling interviewer effects in panel surveys: - an application

In this paper we will combine two applications of multilevel models. The multilevel model is suitable to analyze interviewer effects on survey data. It can also be used to analyze longitudinal ­ “repeated measurements” ­ data. We will analyze a data quality indicator of panel data that come from the Belgian Election Studies. These panel data consist of only two waves. The respondents that cooperated twice are for the most part not interviewed by the same interviewers. This results in a complex data structure with measurements nested in respondents, and respondents nested in interviewers, but without an overall hierarchical nesting structure: cross­classification. This complicated data structure will be analyzed in two different ways: an analysis of all respondents and an analysis of only those who are interviewed twice by the same interviewer. The results of these different analyses will be compared. We conclude that the multilevel cross­classified model is a very flexible and useful tool to analyze interviewer effects in panel surveys.