Miracle-dz/UniFAR-FTUs huggingface dataset:
STUDENTS’ MATHEMATICS PROBLEM-SOLVING ABILITY WITH KINESTHETIC LEARNING STYLE AT VOCATIONAL SCHOOL

According to the interview results, students of SMK Muhammadiyah 2 Bontoala Makassar have good mathematical problem-solving skills. However, some students still find it difficult to solve math issues in the form of non-routine questions. According to other research, learning styles, notably kinesthetic learning styles, have a considerable impact on students' ability to solve mathematical problems. This study aims to describe the profile of students' mathematical problem-solving abilities based on Polya's theory (understand, strategy, solve and look back) in terms of kinesthetic learning styles. This type of research is descriptive qualitative research, and the data collection techniques in this study used three ways, namely filling out questionnaires, giving tests, and interviews. From the data collection techniques, the results obtained that two (2) students with kinesthetic learning styles have high problem-solving scores with an average of 77.5 and only fulfill three stages of problem-solving based on Polya's theory. Therefore, the teacher must pay attention to the tendency of kinesthetic learning styles in order to be able to improve students' mathematical problem-solving abilities. Abstrak: Berdasarkan pada hasil wawancara yang diperoleh, menyatakan bahwa siswa SMK Muhammadiyah 2 Bontoala Makassar yang mempunyai kemampuan memecahkan masalah matematika yang baik, ternyata masih terdapat beberapa siswa yang sulit dalam menyelesaikan soal matematika berbentuk masalah non rutin. Data lain menyatakan bahwa kemampuan pemecahan masalah matematika siswa dipengaruhi oleh gaya belajar secara signifikan termasuk gaya belajar kinestetik. Tujuan penelitian ini adalah untuk mendeskripsikan profil kemampuan pemecahan masalah matematika siswa berdasarkan teori menurut Polya (understand, strategy, solve dan look back) ditinjau dari gaya belajar kinestetik. Jenis penelitian ini adalah penelitian kualitatif deskriptif, teknik pengumpukan data pada penelitian ini menggunakan tiga cara yaitu pengisian kuesioner, pemberian tes dan wawancara. Dari teknik pengumpulan data tersebut, maka diperoleh hasil penelitian bahwa 2 orang siswa dengan gaya belajar kinestetik mempunyai nilai pemecahan masalah yang tinggi dengan rata-rata 77,5 dan hanya memenuhi tiga tahap pemecahan masalah berdasarkan teori Polya. Oleh karena itu guru harus memperhatikan kecenderungan gaya belajar kinestetik agar mampu meningkatkan kemampuan pemecahan masalah matematika siswa.
Cultural Values of Education at the Sumatra Thawalib Islamic Boarding School Parabek, Bukittinggi

This study aims to find the meaning and describe the management of organizational culture change in the educational environment at the Sumatra Thawalib Islamic Boarding School, Parabek. The research method used in this research is qualitative with the type of phenomenological study. The instrument in this research is the researcher himself. Data collection techniques are used in the form of in-depth interviews, participant observation, and documentation. The guarantee of the validity of the data is carried out by triangulation of sources and increasing the persistence of researchers in understanding each data obtained. The results showed that the management of organizational culture change in the educational environment at the Sumatra Thawalib Islamic Boarding School, Parabek Evidencettinggi is contained in the acronym "THAWALIB" which consists of (1) Taqwa; (2) himmah; (3) Ahl al-'ilmi wa al-'worship; (4) Wara'; (5) Trust; (6) Layin; (7) Istiqomah; (8) Birrul. The core values of the management of organizational culture change as stated in the eight core values are reflected in various aspects of life that exist in the Educational Institutions at the Sumatra Thawalib Islamic Boarding School, Parabek, Bukittinggi. The management of organizational culture change which is reflected in the acronym for the name of the Islamic boarding school is also the core values of how the educational institution is run to achieve the vision, mission, and goals that have been set.
Unpacking the Complexity of COVID-19 Fatalities: Adverse Events as Contributing Factors—A Single-Center, Retrospective Analysis of the First Two Years of the Pandemic

In a retrospective analysis of 477 fatal COVID-19 cases hospitalised at a single medical centre during the period from 6 March 2020 to 30 June 2022, several factors defining those patients at admission were assessed, as well as the course of the hospitalisation and factors contributing to death. There was a predominance of men (59.3% (283)) burdened by comorbidities, with increased inflammation at admission. Patients aged ≥ 81 years were significantly more likely to be admitted to and die in infectious diseases units (IDU) due to respiratory failure, their hospital stays were shorter, and they were most likely not to receive specialist treatment. The most common COVID-19 complications included acute kidney injury in 31.2% (149) patients and thromboembolic complications in 23.5% (112). The course of hospitalisation was complicated by healthcare-associated infections (HAI) in 33.3% (159) of cases, more often in those treated with baricitinib (p < 0.001). The initial use of an antibiotic, although common (94.8% (452)), was unwarranted in almost half of the cases (47.6% (215)). Complications of hospitalisation (46.1% (220)) and adverse events involving staff (49.7% (237)) were found in almost half of the patients. In 88.7% (423) of the cases, death was due to respiratory failure in the course of SARS-CoV-2 infection. Adverse events during hospitalisation should be considered as an additional factor that, in addition to the infection itself, may have influenced the death of patients.
A fast solution of TM wave scattering by a coated 2D partially filled rectangular crack

Abstract An analytical technique of kobayashi potential (KP) method is applied to study the TM plane wave scattering by a coated 2D partially filled rectangular crack in a ground plane. Initially, by expanding a summation of waveguide modal eigenfunctions, the electric field inside the coating layer is found. Then, the crack contribution is taken into account by addition of the Bessel eigenfunctions in both the coating layer and the semi-infinite half space. By applying the KP method and utilizing the Weber–Schafheitlin discontinuous integrals, the governing equations of an infinite summations with unknown coefficients are derived. Then, by imposing the boundary conditions, the unknown coefficients are determined. The proposed method is validated by comparisons made with the finite element method results. Finally, the effect of a progressively filling crack and the dielectric layer height increase on the far-field scattered field is investigated. The permittivities and permeabilities of the coating and the filling dielectric could be lossy or lossless. The proposed method is applicable to both narrow and wide cracks and is accurate and computationally efficient.
Dental Teacher Feedback and Student Learning: A Qualitative Study

Introduction: Feedback is essential to improve student learning and motivation and to encourage curriculum development by teachers. This study looked at feedback to and from dental students from a qualitative perspective. Methods: Dental teachers were recruited exclusively to this study from the membership of the Association for Dental Education in Europe (ADEE). Delegates from each of the four annual ADEE conferences were invited to attend focus groups to discuss aspects of feedback. Focus groups established an individual theme for the respective conferences: (i) the role of the teacher in delivering feedback; (ii) feedback from the students’ perspective; (iii) changes to feedback due to the COVID-19 pandemic; and (iv) integrating feedback with assessments. Results: Qualitative data collected from the conference delegates were diverse and thought provoking. Delegates reported different styles of feedback varying from individual, personal feedback to no feedback at all. An enforced and mostly positive adaptation to online delivery during the COVID-19 pandemic was reported. A partial return to pre-pandemic practices was described. Conclusions: Feedback is well recognized by students and teachers as contributing to learning. A universal approach to delivering feedback as part of the student learning process can be challenging due to a multitude of variables. Many aspects of changes in dental education, teaching, and feedback practices adopted as a result of the COVID-19 pandemic have been retained post-pandemic, thereby accelerating the anticipated progression to online teaching.
Neurocognitive Impairment in Patients with HIV and Depression in Nigeria

HIV has been associated with neurocognitive impairment which may be due to the direct effect of the virus, indirect effect or due to medications side effects or due to a combination of factors. HIV and depression have been shown separately to have neurocognitive deficits. Aim: Determine the prevalence of NCI and factors associated with it among depressed and non-depressed patients with HIV on combined antiretroviral treatment (cART). Methodology. A descriptive comparative cross-sectional study was conducted among People living with HIV (PLHIV) at Aminu Kano Teaching Hospital in Kano State, northern Nigeria. Participants were grouped into HIV with depression and HIV without depression groups based on current diagnosis using the depression module of the MINI International Neuropsychiatric Interview (MINI)-7th edition. A multi-domain neuropsychological battery (MDNPT) of 5 tests (assessed 5 cognitive domains) was used to diagnose Neurocognitive impairment. Results: Fifty-seven percent of the study sample were females, and the mean age of the participants was 37.54 (±10.04) years with an age range of 18-65 years. The prevalence of NCI was 74% among the depressed 68.3% among the non-depressed group (p=0.484). Years of education and IHDS score were significantly associated with NCI in the depressed group (p < 0.05 respectively). While among the non-depressed group, Years of education, average monthly income and IHDS score were significantly associated with NCI (p < 0.05 respectively). Conclusion: Neurocognitive impairment occurs in HIV-positive patients but is worsened by a depressive disorder. There is a need to adequately assess and treat HIV patients with depression. Treatment may improve neurocognitive impairment in depressed HIV patients.
Multiscale structure of turbulent channel flow and polymer, dynamics in viscoelastic turbulence

This thesis focuses on two important issues in turbulence theory of wall-bounded flows. One is the recent debate on the form of the mean velocity profile (is it a log-law or a power-law with very weak power exponent? ) and on its scalings with Reynolds number. In particular, this study relates the mean flow profile of the turbulent channel flow with the underlying topological structure of the fluctuating velocity field through the concept of critical points, a dynamical systems concept that is a natural way to quantify the multiscale structure of turbulence. This connection gives a new phenomenological picture of wall-bounded turbulence in terms of the topology of the flow. This theory validated against existing data, indicates that the issue on the form of the mean velocity profile at the asymptotic limit of infinite Reynolds number could be resolved by understanding the scaling of turbulent kinetic energy with Reynolds number. The other major issue addressed here is on the fundamental mechanism(s) of viscoelastic turbulence that lead to the polymer-induced turbulent drag reduction phenomenon and its dynamical aspects. A great challenge in this problem is the computation of viscoelastic turbulent flows, since the understanding of polymer physics is restricted to mechanical models. An effective numerical method to solve the governing equation for polymers modelled as nonlinear springs, without using any artificial assumptions as usual, was implemented here for the first time on a three-dimensional channel flow geometry. The superiority of this algorithm is depicted on the results, which are much closer to experimental observations. This allowed a more detailed study of the polymer-turbulence dynamical interactions, which yields a clearer picture on a mechanism that is governed by the polymer-turbulence energy transfers.
Substructure and Gas Clumping in the Outskirts of Abell 133

Galaxy clusters are powerful tools for studying various astrophysical principles. Gas accreting onto the cluster is heated to 10−10 K through adiabatic compression and shocks, making clusters highly luminous in X-ray imaging. Measurements of the gas density and temperature profiles can be used to calculate the gas mass fraction fgas, which is expected to closely match the cosmic baryon fraction Ωb/Ωm. Recent observations have found entropy profiles in cluster outskirts that are shallower than predicted and values of fgas that are higher than the Universal baryon fraction inferred from the Cosmic Microwave Background (CMB). Abell 133 was an ideal candidate for studying this phenomenon, since it had recently been observed in a wide (R ≈ 30′) Chandra mosaic with an exposure time of ∼ 2 Ms. The X-ray imaging was combined with existing optical imaging from the CanadaFrance-Hawaii Telescope (CFHT) and spectroscopy obtained from the Magellan telescope, to search for any possible gas clumps and to study their properties. The photometric analysis yielded over 3200 red sequence galaxies to a depth of r’= 22.5, which were used to create a Gaussian smoothed intensity map and a significance map of the cluster (compared to CFHT Legacy Survey data). About 6 significant overdensities were detected in the significance map, although these did not fully correspond to contours obtained from the X-ray image. Spectroscopy obtained on the cluster yielded ∼ 700 secure redshifts, of which about 180 were cluster members. This included data from the NOAO Fundamental Plane Survey (NFPS) and the 6 Degree Field Galaxy Survey (6dFGS). We found a cluster redshift of z = 0.0561 ± 0.0002 and a velocity dispersion of σ = 743 ± 43 km/s. The dynamical analysis gave a virial radius of rv = 1.44 ± 0.03 Mpc and a virial mass of Mv = (5.9 ± 0.8) × 10M . We also found values of R500 = 1.21 ± 0.07 Mpc and M500 = (5.3 ± 0.9) × 10M for γ = 1/3 and R500 = 0.99 ± 0.05 Mpc and M500 = (2.9 ± 0.5) × 10M for γ = 1/2, where γ is a parameter related to the assumed density profile and the velocity anisotropy. About 30 overdensities with a radius Rc ≥ 30” were detected as gas clumps on the X-ray image. The galaxy distribution in these clumps was analyzed, both for the stacked signal as well as the individual clumps, in ten parallel colour-magnitude bands to find any significant red sequences associated with them. Most of these clumps appeared to be background systems, some consisting of 1-2 galaxies, others being small groups or clusters. Only 2-3 clumps appeared to be associated with the cluster itself. This suggests that the cluster density profile is actually quite smooth, which may not agree with recent numerical simulations. Further studies are required to determine if the cluster density distribution is consistent with what is predicted and the nature of the background systems.
CAD2Render: A Synthetic Data Generator for Training Object Detection and Pose Estimation Models in Industrial Environments

Computer vision systems become more wide spread in the manufacturing industry for automating tasks. As these vision systems use more and more machine learning opposed to the classic vision algorithms, streamlining the process of creating the training datasets become more important. Creating large labeled datasets is a tedious and time consuming process that makes it expensive. Especially in a low-volume high-variance manufacturing environment. To reduce the costs of creating training datasets we introduce CAD2Render, a GPUaccelerated synthetic data generator based on the Unity High Definition Render Pipeline
On the relationship between the spatial variability of soil properties and transpiration

The sensitivity of transpiration, E, characteristics to areal variations of soil properties is analyzed. The study is performed by a deterministic model and a statistical-deterministic model. The core of the models is based on the Penman-Monteith concept. The transpiration characteristics are investigated in terms of analyzing the change of E versus soil moisture content, θ, relative frequency distribution of E(θ), and the algorithms for relating E obtained for a homogeneous and an inhomogeneous areal distribution of θ. The heterogeneity of soil characteristics is considered in terms of soil texture, areal variation of θ, and areal variation of soil hydraulic parameters (field capacity and wilting point soil moisture contents). In the study sand and clay are used as soil textures. The soil hydraulic parameters are evaluated for both the North-American and Hungarian soils. In the simulations strong and weak atmospheric forcing conditions are used. According to the results, transpiration characteristics seem to be most sensitive to the areal variation of θ. The E characteristics are sensitive to the changes of soil texture and areal variation of soil hydraulic parameters at about the same rate, though the characteristics of the sensitivity are different. The analysis is valid when there are no advective effects and mesoscale circulation patterns. The results obtained can be useful for estimating area-averaged transpiration.
Anterior Nasal Schwannoma: A Rare Sinonasal Neoplasm

Schwannomas are the most common type of benign peripheral nerve tumor in adults. Schwann cells assist in the conduction of nerve impulses and wrap around peripheral nerves to provide protection and support. Schwannomas typically arise from a single fascicle within the main nerve. Although they can occur anywhere in the body, nasal schwannomas are exceptionally rare. This case study presents a 65-year-old Caucasian female who had been experiencing obstructive nasal symptoms for three months. The in-office physical examination revealed a soft tissue expansile mass involving the submucosal tissues of the bilateral anterior nasal cavity, located just posterior to the columella. The mass was surgically excised in the operating room, and the diagnosis was confirmed through histopathology. With only 32 reported cases, nasal septal schwannomas are exceedingly rare. Diagnosis relies on histopathology for confirmation. However, their clinical presentation can mimic other sinonasal pathologies. A septal schwannoma should be considered as a differential diagnosis for a unilateral sinonasal mass. Complete excision is the definitive treatment and is associated with a low recurrence rate. The patient had no signs of reoccurrence on nasal endoscopy three months postoperatively. Surveillance MRI will be completed at one year.
BDA-PCH: Block-Diagonal Approximation of Positive-Curvature Hessian for Training Neural Networks

We propose a block-diagonal approximation of the positive-curvature Hessian (BDA-PCH) matrix to measure curvature. Our proposed BDAPCH matrix is memory efficient and can be applied to any fully-connected neural networks where the activation and criterion functions are twice differentiable. Particularly, our BDA-PCH matrix can handle non-convex criterion functions. We devise an efficient scheme utilizing the conjugate gradient method to derive Newton directions for mini-batch setting. Empirical studies show that our method outperforms the competing second-order methods in convergence speed.
High‐order ghost‐point immersed boundary method for viscous compressible flows based on summation‐by‐parts operators

A high‐order immersed boundary method is devised for the compressible Navier‐Stokes equations by employing high‐order summation‐by‐parts difference operators. The immersed boundaries are treated as sharp interfaces by enforcing the solid wall boundary conditions via flow variables at ghost points. Two different interpolation schemes are tested to compute values at the ghost points and a hybrid treatment is used. The first method provides the bilinearly interpolated flow variables at the image points of the corresponding ghost points and the second method applies the boundary condition at the immersed boundary by using the weighted least squares method with high‐order polynomials. The approach is verified and validated for compressible flow past a circular cylinder at moderate Reynolds numbers. The tonal sound generated by vortex shedding from a circular cylinder is also investigated. In order to demonstrate the capability of the solver to handle complex geometries in practical cases, flow in a cross‐section of a human upper airway is simulated.
Amplify-and-Forward (AF) Relay Techniques in Wireless SC-FDE Systems to Enhance Diversity Gains

This paper introduces an amplify-and-forward (AF) relaying technique that employs phase dithering and intentional delay within single carrier-frequency domain equalizer (SC-FDE) systems. The proposed relaying technique aims to increase the gain of both frequency diversity and time diversity in slow fading channels. To achieve this, the proposed technique introduces random phase rotation and random intentional delay. The relaying scenario assumes two-hop communication with relaying between the source and destination. It is assumed that many nodes are densely distributed, allowing for many relay nodes to participate in relaying. To verify the performance through computer simulation, the number of relays is 1, 2, 3, 5, 15, and 25, and three modulation coding schemes (MCSs) are considered: QPSK with R=1/3, 16QAM with R=3/4, and 8PSK with R=7/8. The simulation results demonstrate that the proposed relaying technique improves the bit error ratio (BER) performance. The performance improves as the number of relays increases.
The role of farm size in production efficiency: evaluating the farms in Czechia since the EU accession

The paper aims to evaluate the economic situation of Czech farms since the EU accession and to identify the impact that the farm size has on economic indicators. The analysis was based on our own database of farms sorted according to the acreage of utilised agricultural land. The analysis focuses on the structure of production, production indicators, asset and capital structure, profitability and cost ratios, the efficiency of production factors, financial stability and financial health. The profitability is characterised by significant fluctuations, with the largest decline in 2009. The company's financial health has a growing trend in all size groups although the average farm did not get out of the grey zone. Dependence on subsidies is growing; subsidies per hectare of utilised agricultural area are growing over time and towards a declining farm size. Trends are similar for all farm size groups; however, in some indicators, the smallest average farm differs. The share of fixed assets is the lowest, and the turnover rate of fixed assets increases. It is the only group with no significant decline in the workforce, and the share of leased land is also the highest. The development of profitability and financial health does not indicate significant differences affected by the size of the farm.