Miracle-dz/UniFAR-FTUs huggingface dataset:
Utilizing Educational Data Mining for Enhanced Student Performance Analysis in Malaysian STEM Education

Educational Data Mining (EDM) applies data mining in education, aiding schools to enhance student learning programs by analyzing data and success factors. In the era of big data, schools must adopt data-driven approaches. However, predicting success among diverse secondary students in Malaysia remains uncertain due to dataset size and heterogeneity. This study aims to identify key predictor variables for STEM student performance and present a systematic method for analysis, benefiting academics, schools, and the education ministry. The article explores data mining via knowledge discovery (KDD) and employs classifiers like Random Forest, PART, J48, and Naive Bayes on a dataset of Malaysian upper-secondary Science students. Utilizing WEKA for analysis, the research utilizes 21 features from the Education Repository and SAPS. Notably, J48 outperforms other classifiers. The study aids educational enhancement, enabling early intervention and improved academic achievement .
Mapping the occurrence and thickness of soil horizons within soil profiles

While many studies have mapped the thickness of individual soils horizons, few have mapped the horizons as a whole soil profile. We developed soil-landscape regression models to describe and predict the occurrence and the thickness of several soil horizons to 1 m depth. The study was carried out at a 75 km2 area in the Hunter Valley, New South Wales in Australia, using 1050 soil profiles observations. The landscape factors that were used to make the models included terrain attributes, landuse, and geology. We derived regression models to predict the thickness of the individual soil horizons. Because not all horizons can be present in the whole area, we cannot develop a regression model which has the assumption of constant error variance. Therefore, we used a combination of a logistic regression with an ordinary regression to first model the occurrence of each horizon and then their thickness, respectively. This model revealed significant relations between the soil attributes and the prediction of the occurrence and thickness of each of the soil horizons. validate it and c) to represent them with different maps. 2 MATERIALS AND METHODS 2.1 Study area and data The study area is in the lower Hunter Valley, Pokolbin with an area of approximately 75 km2 (Figure 1). The climate is temperate. Elevation in the study areas ranged from 55 to 500 m. Based on the elevation, we can distinguish two zones: southwest where the slope ranged from 15 to 30 degrees and the middle and north-east where the slope ranged from 0 to 5 degrees. The soils in the study area are mainly clay loams and light clays. The soil class includes Dermosols and Chromosols according to the Australian Soil Classification System. The data came from various surveys conducted by the University of Sydney from 2000 to 2009, consisting of 1050 soil profiles. The data described the soil according to the Australian classification (field texture, depth of the different horizons, colour, and morphologies). In order to conduct the study, we arranged the data collected and idealized a soil profile model. We considered an idealized soil profile which has all of the following horizons in a sequential order using the Australian horizon designation: Ap, A1, A2, B1, B2, B3, BC and C. We converted the raw data of soil horizon lower depth
Patients' perceptions of access to primary care: Analysis of the QUALICOPC Patient Experiences Survey.

OBJECTIVE To gain a more comprehensive understanding of patients' perceptions of access to their primary care practice and how these relate to patient characteristics. DESIGN Cross-sectional study. SETTING Ontario. PARTICIPANTS Adult primary care patients in Ontario (N = 1698) completing the Quality and Costs of Primary Care (QUALICOPC) Patient Experiences Survey. MAIN OUTCOME MEASURES Responses to 11 access-related survey items, analyzed both individually and as a Composite Access Score (CAS). RESULTS The mean (SD) CAS was 1.78 (0.16) (the highest possible CAS was 2 and the lowest was 1). Most patients (68%) waited more than 1 day for their appointment. By far most (96%) stated that it was easy to obtain their appointment and that they obtained that appointment as soon as they wanted to (87%). There were no statistically significant relationships between CAS and sex, language fluency, income, education, frequency of emergency department use, or chronic disease status. A higher CAS was associated with being older and being born in Canada, better self-reported health, and increased frequency of visits to a doctor. CONCLUSION Despite criticisms of access to primary care, this study found that Ontario patients belonging to primary care practices have favourable impressions of their access. There were few statistically significant relationships between patient characteristics and access, and these relationships appeared to be weak.
small-Use of contrast echocardiography for quantitative and qualitative evaluation of myocardial perfusion and pulmonary transit time in healthy dogs

Objective —To evaluate reproducibility of ejection fraction (EF), myocardial perfusion (MP), and pulmonary transit time (PTT) measured in a group of dogs by use of contrast echocardiography and to examine safety of this method by evaluating cardiac troponin I concentrations. Animals —6 healthy dogs. Procedures —2 bolus injections and a constant rate infusion of contrast agent were administered IV. Echocardiographic EF was determined by use of the area-length method and was calculated without and with contrast agent. The PTT and normalized PTT (PTT/mean R-R interval) were measured for each bolus. Constant rate infusion was used for global MP evaluation, and regional MP was calculated by use of a real-time method in 4 regions of interest of the left ventricle. Cardiac troponin I concentration was analyzed before and after contrast agent administration. Intraoberserver and interobserver variability was calculated. Results —EF was easier to determine with the ultrasonographic contrast agent. For the first and second bolus, mean ± SD PTT was 1.8 ± 0.2 seconds and 2.1 ± 0.3 seconds and normalized PTT was 3.4 ± 0.3 seconds and 3.5 ± 0.3 seconds, respectively. A coefficient of variation < 15% was obtained for global MP but not for the regional MPs. No differences were detected between precontrast and postcontrast cardiac troponin I concentrations. Conclusions and Clinical Relevance —Contrast echocardiography appeared to be a repeatable and safe technique for use in the evaluation of global MP and PTT in healthy dogs, and it improved delineation of the endocardial border in dogs. ( Am J Vet Res 2012;73:194–201)
Viability of the early JUICE ﬂyby trajectories to conﬁrm ocean existence at Ganymede

Ganymede is the largest moon in our Solar System, and unique in producing its own magnetic ﬁeld, as well as possibly possessing a subsurface ocean. The measurements from the only spacecraft that visited the moon, Galileo, provided two models for the internal ﬁeld-a dipole and quadrupole model or a dipole and induction model. The focus of the initial 3 close ﬂybys of the JUpiter ICy moons Explorer (JUICE) mission is to diﬀerentiate between the two signals and conﬁrm the existence of an ocean. We begin with an analysis of the JUICE and Galileo trajectories in diﬀerent reference frames and predict the induction signal using the time-varying ﬁeld of Jupiter. A comparison between the induction and quadrupole signatures for Galileo ﬂybys shows that the former seems more likely. Finally, we present and discuss the importance of the 3 JUICE ﬂybys to observe the induction ﬁeld and hence conﬁrm the ocean.
Gastroenterología

GA-1 MIOSITIS PERIORBITARIA COMO MANIFESTACIÓN EXTRAINTESTINAL DE LA ENFERMEDAD DE CROHN (AGUDELO CARLOS, PEREZ MARÍA, LUNA FREDY, MILLÁN HENRY) GA-2 ASCITIS QUILOSA, RETO DIAGNOSTICO Y TERAPEUTICO (OSWALDO E. AGUILAR MOLINA, CHRISTIAN A. MONTAÑO, JAIME HOLGUIN) GA-3 SPRUE TROPICAL, NUEVA CARA DE UNA VIEJA ENFERMEDAD (OSWALDO E. AGUILAR MOLINA, CHRISTIAN A. MONTAÑO BRANCA, JAIME HOLGUÍN) GA-4 DESPUÉS DE 100 AÑOS DE HISTORIA SÍNDROME DE PLUMMERVINSON (SANDOVAL JENNIFER, GONZÁLEZ ÁLVARO, PINTO NATALIE, RUEDA SANDRA, ARDILA MANUEL) GA-5 ENFISEMA SUBCUTANEO MASIVO UNA COMPLICACION INUSUAL POST-COLANGIOPANCREATOGRAFIA RETROGRADA ENDOSCOPICA (ALZA JHONGERT, ARENAS MARÍA, BARBOSA JENNY, BRICEÑO BIBIANA, CHACÓN DANIELA, CORTÉS MARÍA, BARRERA EDGAR) GA-6 RECIDIVA DE COLANGITIS ESCLEROSANTE PRIMARIA EN POSTTRASPLANTE HEPATICO (ALZA JHONGERT, ROJAS WILLIAM, RUIZ MARÍA, SANTOS CARMEN, TORRES NICOLÁS, VIVAS ALEJANDRA, BARRERA EDGAR) GA-7 RETENCIÓN DE CÁPSULA ENDOSCÓPICA POR ILEITIS (RAMÍREZ SOLARTE ÁNGELA VIVÍAN, RESTREPO HOLGUÍN DANIEL FRANCISCO, REVELO JIMÉNEZ FRANCISCO) GA-8 HEMORRAGIA DE VÍAS DIGESTIVAS BAJAS COMO COMPLICACIÓN INFECCIOSA (CASTAÑEDA CAMACHO HÉCTOR ANDRES, TORRES BUSTAMANTE ANGELA MARÍA) GA-9 CARACTERIZACIÓN DE LOS PACIENTES CON DIAGNÓSTICO DE COLITIS POR CLOSTRIDIUM DIFFICILE EN UN CENTRO DE BOGOTÁ DURANTE LOS AÑOS 2016 A 2018 (PÉREZ MARÍA ALEJANDRA, ZULUAGA JUAN DAVID, MILLÁN HENRY AUGUSTO, SUAREZ DAVID, LUNA FREDY ANDRÉS, DUARTE LUISA, NOREÑA IVÁN) GA-10 HEPATITIS AUTOINMUNE CON PRESENTACION ATIPICA (ACUÑA JUAN, MORA JAVIER, LEGRO GIOVANNI, NAVARRETE LINDA, CUERVO JESSICA) GA-11 APLICABILIDAD DE LOS CRITERIOS DE SWANSEA PARA DIAGNÓSTICO DE HÍGADO GRASO AGUDO DEL EMBARAZO (HGAE). ESTUDIO DE COHORTE RETROSPECTIVO (ROJAS-SUAREZ JOSÉ, PÉREZ-RAMÓN HUGO, LORA-ANDOSILLA MARIO, RODRÍGUEZ-YÁNEZ TOMAS, DUEÑAS-CASTELL CARMELO)
Surface Shading, Soil Temperature, and Soil Moisture Effects on C Loss in a Temperate Peatland

TAGGART, MATTHEW. Surface Shading, Soil Temperature, and Soil Moisture Effects on Soil C Loss in a Temperate Peatland. (Under the direction of Joshua Heitman). Histosols are a huge reservoir for C, covering < 1% of the worldâ€Ÿs land surface but holding up to 12% of total soil C. Thorough comprehension of factors controlling the rate of soil C loss from peatlands is critical for proper management of these C sinks. Three experiments evaluated how formerly cultivated, warm climate Histosols undergoing restoration efforts might respond to increasing water content via water table re-establishment and decreases in soil temperatures via vegetative shading. We compared temperature and soil CO2 efflux differences from intact soil cores, collected from Juniper bay, under three levels of light reduction in a greenhouse: 0%, 70%, and 90%. Soil in full sun was consistently warmer and showed higher efflux rates than 70% and 90% shade treatments: 4.132, 3.438, and 2.054 I¼mol CO2 m-2 s-1, respectively. Shade treatments reached peak efflux rates at similar water potential, -2 to -4 kPa. A field experiment at Juniper bay subjected in-situ soil to full sun, 70% light reduction, and light reduction from naturally occurring herbaceous vegetation. Shade treatment effects on soil temperature and C mineralization were evident throughout the growing season. Vegetation shade effects on soil temperature were greatest in August and September when soil under vegetation was 5Â°-11Â°C cooler than unshaded soil. Soil CO2 efflux was correlated strongly with soil temperature; daily efflux rates were consistently highest from unshaded soil. Efflux across treatments showed a strong seasonal correlation to soil moisture, increasing as soil dried in response to water table decline. Soil water potential was unaffected by shade treatment, suggesting temperature effects were solely responsible for efflux differences between treatments. C mineralization response to temperature and moisture was verified with lab incubations of soil material at 25Â° and 37Â°C for three moisture ranges. Incubation showed a temperature/moisture interaction where Q10 was 2.55 under wet soil conditions (0.40 m3 m-3) and 1.64 when soil was driest (0.15-0.16 m3 m-3). All results confirm surface shading has a strong influence on soil temperatures and C mineralization rates. Thoughtful management of vegetation in mitigated peatlands may be an effective strategy for slowing soil C losses and promoting soil C sequestration.
Integrated molecular portraits of breast cancer

The associated article reports multiomic analysis of breast cancers, where we provided a unique public resource that contributes novel insights into the breast cancer, holding promise for further precision treatment approaches. This protocol not only delineates detailed experimental procedures for sample preparation and data generation but also comprehensive analysis methods for genomics, transcriptomics, proteomics, and metabolomics from breast cancer samples. Furthermore, regarding radiomics and pathomics, the protocol describes the extraction of both radiological and pathological features in detail.
Visualization-Mediated Alleviation of the Planning Fallacy

The planning fallacy, i.e., people’s tendency to underestimate the time required to complete a project despite past failures, is ubiquitous and resistant to coping strategies. We propose scenarios where visualizations may help alleviate this problem, motivated by previous research in psychology. We hope that with the help of visualizations, people will become more reliable in their judgments and work together in a way that is both more productive and more gratifying.
31 Beyond Human or Robot Administered Treadmill Training

The demand for rehabilitation services is growing apace with the graying of the population. This situation creates both a need and an opportunity to deploy technologies such as rehabilitation robotics, and in the last two decades many research groups have deployed variations of this technology for gait rehabilitation. While gait robotic technology is elegant and sophisticated, results so far are mixed. We argue here that much of this technology may be misguided in its focus, providing highly repeatable control of rhythmic movement but ultimately overfocusing on this one aspect of gait. Our approach to lower extremity therapeutic robots is guided by our model of dynamic primitives in locomotion, which posits that walking is a composite of three dynamic primitives including oscillations (rhythmic movements), but also sub-movements (discrete movements), and mechanical impedances (balance). We developed devices based on the principle that the machine should allow the patient to express those dynamic primitives as much as (s)he can, while accommodating a large spectrum of pathological gaits. In the following, we review four innovative solutions for lower extremity (LE) rehabilitation based on this approach: Anklebot, MIT-Skywalker, Soft Exosuit, and Variable-Friction Cadense Shoes.
Frontotemporal lobar degeneration

Objective: To improve clinical recognition and provide research diagnostic criteria for three clinical syndromes associated with frontotemporal lobar degeneration. Methods: Consensus criteria for the three prototypic syndromes-frontotemporal dementia, progressive nonfluent aphasia, and semantic dementia-were developed by members of an international workshop on frontotemporal lobar degeneration. These criteria build on earlier published clinical diagnostic guidelines for frontotemporal dementia produced by some of the workshop members. Results: The consensus criteria specify core and supportive features for each of the three prototypic clinical syndromes and provide broad inclusion and exclusion criteria for the generic entity of frontotemporal lobar degeneration. The criteria are presented in lists, and operational definitions for features are provided in the text. Conclusions: The criteria ought to provide the foundation for research work into the neuropsychology, neuropathology, genetics, molecular biology, and epidemiology of these important clinical disorders that account for a substantial proportion of cases of primary degenerative dementia occurring before the age of 65 years.
FRONTOTEMPORAL LOBAR DEGENERATION : INSIGHTS FROM NEUROPSYCHOLOGY AND NEUROIMAGING

RNATIONAL REVIEW OF 185 ROBIOLOGY, VOL. 84 Copyright 2009, Elsev All rights re 10.1016/S0074-7742(09)00410-3 0074-7742/09 A . D iagnosis of FTLD B . C linical Criteria C . H istopathology D . G enetics II. C lassification of FTLD Subtypes and Their Features A . F rontotemporal Degeneration B . P rimary Progressive Aphasia or Progressive Nonfluent Aphasia C . S emantic Dementia III. N europsychological Assessment A . D istinguishing FTLD from AD B . D istinguishing FTLD Subtypes IV. N eurobehavioral Assessment A . F TD B . P PA C . S D V. N euroimaging of FTLD A . D ifferentiation of FTLD from AD B . D ifferentiation of Different Subtypes of FTLD VI. S ummary R eferences
Cloud parameter retrievals from Meteosat and their effects on the shortwave radiation at the surface

ABSTRACT A method based on Spinning Enhanced Visible and Infrared Imager (SEVIRI) measured reflectance at 0.6 and 3.9 µm is used to retrieve the cloud optical thickness (COT) and cloud effective radius (re) over the Iberian Peninsula. A sensitivity analysis of simulated retrievals to the input parameters demonstrates that the cloud top height is an important factor in satellite retrievals of COT and re with uncertainties around 10% for small values of COT and re; for water clouds these uncertainties can be greater than 10% for small values of re. The uncertainties found related with geometries are around 3%. The COT and re are assessed using well-known satellite cloud products, showing that the method used characterize the cloud field with more than 80% (82%) of the absolute differences between COT (re) mean values of all clouds (water plus ice clouds) centred in the range from ±10 (±10 µm), with absolute bias lower than 2 (2 μm) for COT (re) and root mean square error values lower than 10 (8 μm) for COT (re). The cloud water path (CWP), derived from satellite retrievals, and the shortwave cloud radiative effect at the surface (CRESW) are related for high fractional sky covers (Fsc >0.8), showing that water clouds produce more negative CRESW than ice clouds. The COT retrieved was also related to the cloud modification factor, which exhibits reductions and enhancements of the surface SW radiation of the order of 80% and 30%, respectively, for COT values lower than 10. A selected case study shows, using a ground-based sky camera that some situations classified by the satellite with high Fsc values correspond to situations of broken clouds where the enhancements actually occur. For this case study, a closure between the liquid water path (LWP) obtained from the satellite retrievals and the same cloud quantity obtained from ground-based microwave measurements was performed showing a good agreement between both LWP data set values.
VALIDATION OF THE RELATEDNESS SCALE OF THE INTRINSIC MOTIVATION INVENTORY

: This study serves as an initial validation ofthe r Motivation Inventory (IMI) with a factor analysis addition to the IMI and it is not identified as validated on the social det website (SDT, n.d). The measurements sample of 124 secondary students aged 11 exergaming between students over the internet made in the spring of 2012 and the subjects attended traditional public, public charter and private schools in a rural/suburban location in the southwestern part of the United States. Results suggest that the IMI displayed good i totals. These results can help to position the relatedness subscale of the IMI as a valid way to identify participant feelings of connectedness while engaged in activities.
Numerical Investigation on the Motion of a High-Speed Planning Hull in Calm Water Condition using RANSE Method

Planing hulls were commonly used in both civilian and military situations. The prediction of the motion of the planing hull was complicated due to the trim angle and sinkage oscillations caused by the lift variations and complex hydrodynamic interactions at high speeds. To evaluated the motion of the planing hull, it was essential to analyse the hydrodynamic performance of the planing hull at high speed. This paper presented a CFD method for calculating the hydrodynamics of a planing hull in calm water conditions at different Froude numbers. The numerical method was based on the Reynolds-averaged Navier-Stokes equation (RANSE). The volume of fluid (VOF) and two degrees of freedom equations were utilized. An efficient procedure was introduced to solve numerical divergence in numerical simulations. Resistances of the planing hull in numerical results were compared with experimental results to verified and validated the used RANSE method.
Enhancing Crop Classiﬁcation Accuracy through Synthetic SAR-Optical Data Generation Using Deep Learning

: Crop classiﬁcation using remote sensing data has emerged as a prominent research area in recent decades. Studies have demonstrated that fusing synthetic aperture radar (SAR) and optical images can signiﬁcantly enhance the accuracy of classiﬁcation. However, a major challenge in this ﬁeld is the limited availability of training data, which adversely affects the performance of classiﬁers. In agricultural regions, the dominant crops typically consist of one or two speciﬁc types, while other crops are scarce. Consequently, when collecting training samples to create a map of agricultural products, there is an abundance of samples from the dominant crops, forming the majority classes. Conversely, samples from other crops are scarce, representing the minority classes. Addressing this issue requires overcoming several challenges and weaknesses associated with the traditional data generation methods. These methods have been employed to tackle the imbalanced nature of training data. Nevertheless, they still face limitations in effectively handling minority classes. Overall, the issue of inadequate training data, particularly for minority classes, remains a hurdle that the traditional methods struggle to overcome. In this research, we explore the effectiveness of a conditional tabular generative adversarial network (CTGAN) as a synthetic data generation method based on a deep learning network, for addressing the challenge of limited training data for minority classes in crop classiﬁcation using the fusion of SAR-optical data. Our ﬁndings demonstrate that the proposed method generates synthetic data with a higher quality, which can signiﬁcantly increase the number of samples for minority classes, leading to a better performance of crop classiﬁers. For instance, according to the G-mean metric, we observed notable improvements in the performance of the XGBoost classiﬁer of up to 5% for minority classes. Furthermore, the statistical characteristics of the synthetic data were similar to real data, demonstrating the ﬁdelity of the generated samples. Thus, CTGAN can be employed as a solution for addressing the scarcity of training data for minority classes in crop classiﬁcation using SAR–optical data.