Miracle-dz/UniFAR-FTUs huggingface dataset:
Remote assessment of hand dexterity: an quantitative method to reduce human error in occupational therapy

Abstract Dexterity is the coordination of hands and fingers with the eyes. Existing unilateral movements and dexterity tests use wearable devices for recording hand assessment. It is understandable that whenever some wired devices tag hands, the patient tends to be more conscious, which may not reflect the actual outcome. In this paper, using the finger-tap counter and loop-wire test, an attempt is made to evaluate unilateral movements and dexterity in adults of different age groups without using any wearable device. The test timings are recorded automatically with the help of the ATmega328p microcontroller and transferred to the clinician wirelessly via Bluetooth communication. Healthy 30 subjects between the age range (20–35, 36–50, 51–65, 66–80) were tested for finger-tap counter and loop-wire tests. The experiment is also tested for dominant and non-dominant hands for the same subjects. In this experiment, the result shows as the age increases, the trend in the assessment completion time and number of failures during the performance of the test increases. Female groups can perform both tests quicker than male groups with fewer errors irrespective of age group.
Calibration and Uncertainty Quantification of a Gravity Wave Parameterization: A Case Study of the Quasi‐Biennial Oscillation in an Intermediate Complexity Climate Model

The drag due to breaking atmospheric gravity waves plays a leading order role in driving the middle atmosphere circulation, but as their horizontal wavelength range from tens to thousands of kilometers, part of their spectrum must be parameterized in climate models. Gravity wave parameterizations prescribe a source spectrum of waves in the lower atmosphere and allow these to propagate upwards until they either dissipate or break, where they deposit drag on the large‐scale flow. These parameterizations are a source of uncertainty in climate modeling which is generally not quantified. Here, we explore the uncertainty associated with a non‐orographic gravity wave parameterization given an assumed parameterization structure within a global climate model of intermediate complexity, using the Calibrate, Emulate and Sample (CES) method. We first calibrate the uncertain parameters that define the gravity wave source spectrum in the tropics, to obtain climate model settings that are consistent with properties of the primary mode of tropical stratospheric variability, the Quasi‐Biennial Oscillation (QBO). Then we use a Gaussian process emulator to sample the calibrated distribution of parameters and quantify the uncertainty of these parameter choices. We find that the resulting parametric uncertainties on the QBO period and amplitude are of a similar magnitude to the internal variability under a 2xCO2 forcing.
Cross-university Platforms as an Enabler for Knowledge Management and Transfer

: Collaboration Platforms are virtual or physical places that serve as an intermediary or medium for the exchange of technology, knowledge, products or services between previously independent actors or institutions. In academia, they can facilitate the collaboration between universities. One increasingly important area of collaboration is knowledge management and transfer. In this paper, a literature review is applied in order to derive the state of the art of university platforms for knowledge management. Based on this, the purpose of such platforms is analysed. The results indicate that knowledge transfer focuses on teaching, research, and transfer activities. Often, e-learning platforms are used to facilitate cross-university transfer of knowledge. The motivation to use such platforms is to share knowledge, to make use of synergies in cooperation and to gain more visibility. It is also shown in this paper, that despite its common application, there is a gap in scientifically evaluating the effective contribution of such platforms as enabler for knowledge management.
Effect of Halo Current and Its Toroidal Asymmetry During Disruptions in JT-60U

A poloidal halo current due to a vertical displacement event (VDE) is observed in experimentally simulated VDE discharges and density limit disruptions in the JT-60U tokamak. In the case of a clockwise I{sub p} and B{sub T} discharge, the halo current flows into the vacuum vessel from the inside separatrix and goes back to the plasma from the outside separatrix. A maximum halo current is produced by a change in the poloidal flux generated by plasma current decay. A toroidal asymmetry factor of 2.5 is estimated from the requirements of the fracture of the carbon-fiber composite tiles. The toroidal asymmetry is caused by the poloidal field (PF) that is produced by the toroidal field (TF) ripple, the deformation of the vacuum vessel, the setting error between the vacuum vessel and the TF and PF coils, the low-n mode during current quench, etc. To consider this asymmetry, in JT-60U, one must estimate the total halo current as nearly 26% of the plasma current just before a current quench. 25 refs., 10 figs.
Teaching Practices in Inclusive Classrooms from the Perspective of Primary School Teacher Candidates: An Observation Study

As a result of the nature and outcomes of classroom education, questions concerning what constitutes successful teaching persist. This study intends to characterize, from the perspective of primary school teacher candidates, the practices of primary school teachers in terms of effective instruction in inclusive classrooms. Observations of nonparticipants were used to collect qualitative data for this study. The research study group consists of the final-year primary school teaching students and the teachers at the schools where these students do their internships. Students' observations yielded qualitative data that was examined using content analysis. The study revealed that classroom teachers are deficient in their use of teaching tactics, particularly in adjusting instruction, classroom management, and behavior management. The acquired results were reviewed within the context of the issues encountered by classroom teachers in terms of successful teaching in inclusive classrooms and the suitability of undergraduate programs that prepare teachers for general education.
A revised alpha-ejection correction calculation for (U–Th) ∕ He thermochronology dates of broken apatite crystals

Abstract. Accurate corrections for the effects of alpha ejection (the loss of daughter He near grain or crystal surfaces due to long alpha stopping distances) are central to (U-Th)/He thermochronometry. In the case of apatite (U-Th)/He dating, alpha-ejection correction is complicated by the fact that crystals are often broken perpendicular to the c axis. In such cases, the correction should account for the fact that only some parts of the crystal are affected by alpha ejection. A common current practice to account for such broken crystals is to modify measured lengths of broken crystals missing one termination by a factor of 1.5, and those missing both terminations by a factor of 2. This alpha-ejection “correction correction” systematically overestimates the actual fraction of helium lost to alpha ejection, and thus overcorrects the measured date relative to that determined for an otherwise equivalent unbroken crystal. The ratio of the alpha-ejection-affected surface area to the volume of a fragmented crystal is equivalent to the surface-area-to-volume ratio of an unbroken crystal that is either twice as long (for fragments with one termination) or infinitely long (for fragments with no termination). We suggest that it is appropriate to revise the fragmentation correction to multiply the lengths of crystals missing one c-axis termination by 2, and those missing both c-axis terminations by some large number ≳20. We examine the effect of this revised correction and demonstrate the accuracy of the new method using synthetic datasets. Taking into account alpha ejection, the rounding of the He concentration profile due to diffusive loss, and the accumulation of radiation damage over a range of thermal histories, we show that the revised fragmentation alpha-ejection correction proposed here accurately approximates the corrected date of an unbroken crystal (“true” date) to within <0.7 % on average (±4.2 %, 1σ), whereas the former method overcorrects dates to be ∼3 % older than the “true” date on average. For individual grains, the former method can result in dates that are older by a few percent in most cases, and by as much as 12 % for grains with aspect ratios of up to 1:1. The revised alpha-ejection correction proposed here is both more accurate and more precise than the previous correction, and does not introduce any significant systematic bias into the apparent dates from a sample.
PREVALENCE AND INTENSITY OF ACUTE POST-OPERATIVE PAIN AND MANAGEMENT ASPECTS IN ADULT PATIENTS: A CROSS-SECTIONAL TERTIARY 
HOSPITAL-BASED STUDY

in turn, is associated with the development of chronic postoperative pain and other health consequences. The aim of the study was to determine the prevalence of acute postoperative pain and the degree of satisfaction of patients with anesthesia after surgery in four specialized hospitals in the capital of the country. The results showed that the post-operative pain prevalence is high 88.5% (95.0% CI = 81.2-95.8). Mean pain relief - 76.3, SD -14.8, median - 80%. Patients’ satisfaction with pain relief measured by NRS at the scores 9 and 10 composed 36.5% and 25.0% accordingly. Adequate perioperative pain management should be integral to patient care with active engagement of patients in pain management and taking decision in pain therapy.
Testing the unit root hypothesis in nonlinear time series and panel models

The thesis contains the four chapters: Testing parameter constancy in unit root autoregressive models against continuous change; Dickey-Fuller type of tests against nonlinear dynamic models; Inference for unit roots in a panel smooth transition autoregressive model where the time dimension is fixed; Testing unit roots in nonlinear dynamic heterogeneous panels. In Chapter 1 we derive tests for parameter constancy when the data generating process is non-stationary against the hypothesis that the parameters of the model change smoothly over time. To obtain the asymptotic distributions of the tests we generalize many theoretical results, as well as new are introduced, in the area of unit roots . The results are derived under the assumption that the error term is a strong mixing. Small sample properties of the tests are investigated, and in particular, the power performances are satisfactory. In Chapter 2 we introduce several test statistics of testing the null hypotheses of a random walk (with or without drift) against models that accommodate a smooth nonlinear shift in the level, the dynamic structure, and the trend. We derive analytical limiting distributions for all tests. Finite sample properties are examined. The performance of the tests is compared to that of the classical unit root tests by Dickey-Fuller and Phillips and Perron, and is found to be superior in terms of power. In Chapter 3 we derive a unit root test against a Panel Logistic Smooth Transition Autoregressive (PLSTAR). The analysis is concentrated on the case where the time dimension is fixed and the cross section dimension tends to infinity. Under the null hypothesis of a unit root, we show that the LSDV estimator of the autoregressive parameter in the linear component of the model is inconsistent due to the inclusion of fixed effects. The test statistic, adjusted for the inconsistency, has an asymptotic normal distribution whose first two moments are calculated analytically. To complete the analysis, finite sample properties of the test are examined. We highlight scenarios under which the traditional panel unit root tests by Harris and Tzavalis have inferior or reasonable power compared to our test. In Chapter 4 we present a unit root test against a non-linear dynamic heterogeneous panel with each country modelled as an LSTAR model. All parameters are viewed as country specific. We allow for serially correlated residuals over time and heterogeneous variance among countries. The test is derived under three special cases: (i) the number of countries and observations over time are fixed, (ii) observations over time are fixed and the number of countries tend to infinity, and (iii) first letting the number of observations over time tend to infinity and thereafter the number of countries. Small sample properties of the test show modest size distortions and satisfactory power being superior to the Im, Pesaran and Shin t-type of test. We also show clear improvements in power compared to a univariate unit root test allowing for non-linearities under the alternative hypothesis.
Designing a drinking water treatment experiment as a virtual lab to support engineering education during the COVID-19 outbreak

Abstract The design and deployment of a conventional water treatment experiment, the Jar Test, are presented in a virtual format. It used a low-cost online platform to reproduce the experimental steps and the actual lab setting to empower students with experiential skills. Skills like experimentation, instrumentation, learning from failure, and communication for their professional success. These skills are evaluated in the accreditation criteria for engineering programs of the Accreditation Board for Engineering and Technology. This virtual experience provided one-hundred and sixty-three civil engineering students with the knowledge to perform experimentation at an engineering level, from water sampling campaigns to performing the Jar Test experiment and measuring physicochemical quantities to draw technical conclusions. According to students’ perceptions, the simulation strengthened their capacity for conducting experiments and data collection-processing using virtualized lab instruments. It also consolidated theoretical knowledge to report conclusions according to research findings and enhanced their confidence to perform in-person experiments based on the revised virtual procedure. The results from this study demonstrate that virtual tools could be deployed as a powerful supplement to deliver the practical syllabus when limitations of face-to-face interaction occur. It can also be a blended educational approach since the computer-assisted simulation provides the necessary pre-knowledge that maximizes learning during in-person experimentation.
Production of $f_0(500)$, $f_0(980)$ and $a_0(980)$ in the $\chi _{c1} \to \eta \pi ^+ \pi ^-$ and $\eta _c \to \eta \pi ^+ \pi ^-$ Decay

Using the chiral unitary approach in coupled channels and $SU(3)$ symmetry we describe the production of $f_0(500)$, $f_0(980)$ and $a_0(980)$ in the $\chi_{c1} \to \eta \pi^+ \pi^-$ reaction, recently performed by the BESIII collaboration. A very strong peak for the $a_0(980)$ can be seen in the $\eta\pi$ invariant mass, while clear signals for the $f_0(500)$ and $f_0(980)$ appear in the one of $\pi^+\pi^-$. Next, we make predictions for the analogous decay $\eta_c \to \eta \pi^+ \pi^-$, which could also be measured experimentally. We discuss the differences of these reactions which are interesting to test the picture where these scalar mesons are dynamically generated from the interaction of pairs of pseudoscalars.
Number of particles in fission fragments

In current simulations of fission, the number of protons and neutrons in a given fission fragment is almost always obtained by integrating the total density of particles in the sector of space that contains the fragment. Because of the antisymmetry of the many-body wave function of the whole nucleus, this procedure systematically gives non-integer numbers of particles in the fragments. We introduce a novel sampling method to estimate rigorously the probability of finding $Z$ protons and $N$ neutrons in a fission fragment without resorting to projectors, which can sometimes give unwieldy results. When applied on standard Hartree-Fock-Bogoliubov many-body states, we show that our approach reproduces indeed the results of full particle number projection. We then estimate the charge and mass number dispersion of several scission configurations in $^{240}$Pu with and without pairing correlations included. We show that odd-even effects in the charge probability naturally occur within our approach, which could explain the well-known odd-even staggering of charge distributions. Our method is applicable either in static calculations of scission configurations such as, e.g. in the macroscopic-microscopic approach or energy density functional theory, but also in explicitly time-dependent density functional theory simulations of fission.
Research on Income Forecasting based on Machine Learning Methods and the Importance of Features

: In modern society, age has a significant impact on the income distribution of employee. However, little research has focused on the precise impacts of different factors of income and their relevant applications in predicting the person’s income. Using 48,842 individuals’ income census data from Adult Data Set, this study aims to predict the annual income level of the individual with machine learning approaches based on 13 attributes of the person (age, workclass, education, education-num, marital-status, occupation, relationship, race, sex, capital-gain, capital-loss, hours-per-week and native-country) and determine the key factors of the prediction. For income prediction, 32,561 individuals are divided randomly for training the classification model; the Random Forest (RF), K Nearest Neighbor (KNN), Support Vector Machines (SVM), Logistic Regression (LR) and Naïve Bayes (NB) algorithm have been adopted. Since the accuracy of RT is greater than 0.9 in this task, Gini Importance is used to measure the relativities between each feature and the topic. Among these 5 methods, the RT and KNN models perform relatively well, with accuracies of 0.97973 and 0.8976 respectively. And the age of the employee shows the highest relativity to his or her possible income with the importance of 0.225.
Digital Literacy Using Protexan to Detract Herd Stupidity in The Era Of Freedom to Learn

There are many problems in implementing the teaching-learning process in the era of freedom to learn. The specific purpose of this research is to provide education on digital literacy learning in English subjects through the Protexan application to detract the herd stupidity in society through students as agents of change in implementing health protocols in the era of freedom to learn. The method used in this research is the research & development (R&D) method. The research was carried out in several stages such as preliminary, prototype creation, expert validation, and media testing. The design and teaching media materials are matched through sorting the data processing at an early stage. This Protexan was tested on educators and students with satisfactory results above 70%. The material is in the form of procedural texts in English following the curriculum in high schools in the independent era of learning. The Covid-19 socialization that is integrated with the learning application is used as additional information for students to continue or to carry out post-pandemic health protocols so that students know what actions need to be taken in the family, friendship, and social spheres to avoid Covid-19.
Classification of Gimbal Stabilizer Products Using Naive Bayes Classification

Menjadi videografer adalah hobi yang populer di masa pandemi ini karena berkreasi dalam bentuk video dan konten di YouTube menjadi alternatif selain sekedar mengisi waktu luang atau menghasilkan uang. Untuk mendukung kamera diperlukan perangkat pendukung, dalam hal ini seiring berjalannya waktu kamera yang mumpuni juga bisa didapatkan dari perangkat smartphone, teknologi perangkat tersebut harus diimbangi dengan kemampuan pengguna dalam mengoperasikannya. Gimbal Stabilizer salah satu jawabannya, menggunakan gimbal stabilizer menjadi salah satu alternatif karena dapat meredam getaran sehingga gambar yang dihasilkan lebih maksimal. Banyak website memberikan informasi tentang produk gimbal stabilizer dengan memberikan banyak informasi dalam gambar dan ulasan pengguna. Oleh karena itu, analisis sentimen merupakan solusi untuk masalah pengelompokan opini atau review menjadi opini positif atau negatif secara otomatis berdasarkan hal ini untuk mendapatkan penilaian penggunaan gimbal berdasarkan analisis sentimen yang diberikan melalui review produk, kami akan mencoba menguji parameter untuk menghasilkan n gram pada tahap pre-processing, k-fold pada cross validation dan penerapan particle swarm optimization untuk meningkatkan akurasi menggunakan metode Naive Bayes. Hasil dari tester ini menghasilkan akurasi sebesar 84,42. Becoming a videographer is a popular hobby during this pandemic because creating works in the form of videos and content on YouTube is an alternative to just filling your spare time or making money. To support the camera, the supporting device is needed, in this case, as time goes by, a capable camera can also be obtained from smartphone devices, the technology of the device must be balanced with the user’s ability to operate it. Gimbal Stabilizer is one of the answers, using a gimbal stabilizer is an alternative because it can reduce vibrations so that the resulting image is maximized. Many websites provide information about gimbal stabilizer products by providing a lot of information in images and user reviews. Therefore, sentiment analysis is a solution to the problem of grouping opinions or reviews into positive or negative opinions automatically based on this to get an assessment of the use of gimbals based on the sentiment analysis provided through product reviews, we will try to test the parameters to produce n grams at the pre-processing stage, k-fold on cross validation and the application of particle swarm optimization to increase accuracy using the Naive Bayes method. The results of this tester produce an accuracy of 84.42
Backreaction of Localised Sources in String Compactifications

Localised sources such as D-branes or orientifold planes play an important role in many string compactifications that are relevant for phenomenology. The presence of these objects typically induces complicated dynamics in the compact dimensions such that a full solution to the 10d equations of motion is often out of reach. In order to still be able to make statements about the 4d effective theory arising in the low-energy limit, the equations of motion are usually only solved in an integrated sense, while the backreaction of the localised sources on the internal fields is neglected. This simplification is often referred to as smearing. In this work, we investigate to what extent smearing may affect observables in the effective low-energy theory and whether it may lead to fake solutions that would cease to exist once the backreaction is properly taken into account. We analyse explicit examples for which smeared solutions exist and find that the reliability of the smeared approximation appears to depend on whether or not these solutions saturate a BPS bound. We also address the proposal of placing anti-D3-branes at the tip of a warped throat geometry like the Klebanov-Strassler solution in order to construct meta-stable de Sitter vacua in string theory. We show that, under a few general assumptions, the backreaction of the fully localised anti-branes yields a singularity in fields that do not directly couple to them, and we give an argument suggesting that the singularity is not resolved by brane polarisation. We furthermore demonstrate that, in many string compactifications involving non-trivial background fluxes, the effective lower-dimensional cosmological constant is determined by the on-shell action of the localised sources present in the solution. This often allows to compute the cosmological constant without resorting to potentially unreliable approximations like smearing.