Miracle-dz/UniFAR-FTUs huggingface dataset:
Pengaruh Blended Learning Terhadap Motivasi Belajar dan Hasil Belajar Siswa di Tingkat SMK

Penelitian ini bertujuan untuk: 1) mengetahui perbedaan motivasi belajar dan hasil belajar antara siswa yang diajarkan pembelajaran blended learning dibanding siswa yang diajarkan pembelajaran konvensional, 2) mengetahui peningkatan motivasi belajar dan hasil belajar siswa akibat penerapan pembelajaran blended learning. Jenis penelitian ini quasi experiment. Populasi penelitian adalah sebanyak 62 siswa dilakukan secara random assignment. Teknik pengumpulan data menggunakan tes tertulis dan angket. Data yang diperoleh dianalisis serta diuji dengan statistik parametrik uji F dan uji t. Hasilnya sebagai berikut. 1) Terdapat perbedaan motivasi belajar antara siswa yang diajar pembelajaran blended learning dibandingkan siswa yang diajar pembelajaran konvensional dengan nilai sig. 0,012 dengan rata-rata 4,74 dan terdapat perbedaan hasil belajar dengan nilai sig. 0,000 dengan rata-rata 13,39. 2) Ada peningkatan motivasi belajar siswa akibat penerapan pembelajaran blended learning dengan nilai sig. 0,000 rata-rata peningkatan 13,55 dan ada peningkatan hasil belajar siswa dengan nilai sig. 0,000 rata-rata peningkatan 38,23. THE EFFECTS OF BLENDED LEARNING ON THE LEARNING MOTIVATION AND ACHIEVEMENT STUDENTS LEVEL SMK Abstract This research is aimed to: 1) find out the difference in learning motivation and learning achievement of the students taught using blended learning compared to those taught using conventional learning, 2) find out the improvement in learning motivation and learning achievement of the students due to blended learning application. The research type used is quasi-experiment research. The population of this research students which comprised of 62 students. To determine a random assignment. The data collection techniques used are written test and questionnaire. The data gathered was then analyzed and tested by using the F-test and t-test parametric statistics. The results are as follows. 1) There is a difference in learning motivation of the students taught using blended learning compared to those taught using conventional learning with the sig. 0.012 with the average 4.74 and there is a difference in learning achievement of the students with the sig 0.000 with the average 13.39. 2) there is an improvement in learning motivation of the students due to blended learning application with the sig. 0.000 with the average 13.55 and there is an improvement in learning achievement of the students with the sig. 0.000 with the average 38.23.
Discovering Finance Keywords via Continuous-Space Language Models

The growing amount of public financial data makes it increasingly important to learn how to discover valuable information for financial decision making. This article proposes an approach to discovering financial keywords from a large number of financial reports. In particular, we apply the continuous bag-of-words (CBOW) model, a well-known continuous-space language model, to the textual information in 10-K financial reports to discover new finance keywords. In order to capture word meanings to better locate financial terms, we also present a novel technique to incorporate syntactic information into the CBOW model. Experimental results on four prediction tasks using the discovered keywords demonstrate that our approach is effective for discovering predictability keywords for post-event volatility, stock volatility, abnormal trading volume, and excess return predictions. We also analyze the discovered keywords that attest to the ability of the proposed method to capture both syntactic and contextual information between words. This shows the success of this method when applied to the field of finance.
Speech recognition using context conditional word posterior probabilities

In this paper two new scoring schemes for large vocabulary continuous speech recognition are compared. Instead of using the joint probability of a word sequence and a sequence of acoustic observations, we determine the best path through a word graph using posterior word probabilities with or without word context. The exact calculation of the posterior probability for a word sequence implies a sum over all possible word boundaries, which is approximated by a maximum operation in the standard scoring approach. The new scoring scheme using word posterior probabilities could be expected to lead to improved recognition performance, because it involves partial summation over word boundaries. We present experimental results on five different corpora, the Dutch Arise corpus, the German Verbmobil ’98 corpus, the English North American Business ’94 20k and 64k development corpora, and the English Broadcast News ’96 corpus. It is shown that the Viterbi approximation within words has no effect on standard and word posterior based recognition. Using word posterior probabilities with and without word context, the relative reduction in word error rate is comparable and ranges between 1.5% and 5%. A reason why the additional consideration of word context does not further improve the recognition performance might be that the increase in word context information is traded against a decrease in the number of word sequences that contributes to a particular word posterior probability.
Pitch-synchronous time-scaling for high-frequency excitation regeneration

The goal of bandwidth extension of speech (BWE) is to extrapolate the missing low or high frequency components of the wide-band speech (50-8000 Hz) based entirely on information contained in a narrow-band signal (300-3400 Hz). In this paper we propose a new method for high-frequency regeneration of the excitation signal, using the correlation between the shape of the glottal flow waveform and the spectrum of the voice source. The high-band excitation is generated by performing a pitch-synchronous time-scale (PSTS) transformation on the linear prediction narrow-band residual to generate an high-pass signal that retains the periodic characteristics of the original signal but with a larger open quotient. This method is easy to implement and does not introduce discontinuities in the spectrum of the regenerated excitation. It can be used in applications for BWE where no side information is transmitted or for low bit coding of wide-band speech.
Detecting influenza outbreaks by analyzing Twitter messages

We analyze over 500 million Twitter messages from an eight month period and find that tracking a small number of flu-related keywords allows us to forecast future influenza rates with high accuracy, obtaining a 95% correlation with national health statistics. We then analyze the robustness of this approach to spurious keyword matches, and we propose a document classification component to filter these misleading messages. We find that this document classifier can reduce error rates by over half in simulated false alarm experiments, though more research is needed to develop methods that are robust in cases of extremely high noise.
Characterization of a Computer Board-to-Board Ultra-Wideband Channel

In this paper we present the results of an extensive ultra-wideband (UWB) measurement campaign performed inside the chassis of two desktop computers. The purpose of the campaign is to analyze the possibility of board-to-board communications, replacing cable connections. Measurements of the propagation channel are performed over a frequency range of 3.1 - 10.6 GHz using a vector network analyzer and antennas small enough to enable integration on a circuit board. The results show that the propagation environment is very uniform, with small variations in the path gain between different positions within a computer. We also performed interference measurements, showing that the interference is restricted to certain subbands.
Ultracompact Blue Dwarf Galaxies: Hubble Space Telescope Imaging and Stellar Population Analysis

We present deep Hubble Space Telescope (HST) Advanced Camera for Surveys/High Resolution Channel U-, narrow-V-, and I-band images of nine "ultracompact" blue dwarf galaxies (UCBDs) selected from the Sloan Digital Sky Survey (SDSS). We define UCBDs as local (z < 0.01) star-forming galaxies having angular diameters less than 6'' and physical diameters <1 kpc. They are also among the most metal-poor galaxies known, including objects having 12 + log < 7.65, and are found to reside within voids. Both the HST images and the objects' SDSS optical spectra reveal that they are composites of young (~1-10 Myr) populations that dominate their light and older (~10 Gyr) populations that dominate their stellar masses, which we estimate to be ~107-108 M☉. An intermediate-age (~107-109 yr) population is also indicated in most objects. The objects do not appear to be as dynamically disturbed as the prototype UCBD, POX 186, but the structure of several of them suggests that their current star formation has been triggered by the collisions/mergers of smaller clumps of stars. In one case, HS 0822+3542, the images resolve what may be two small (~100 pc) components that have recently collided, supporting this interpretation. In six of the objects much of the star formation is concentrated in young massive clusters, contributing to their compactness in ground-based images. The evidence that the galaxies consist mainly of ~10 Gyr old stars establishes that they are not protogalaxies, forming their first generation of stars. Their low metallicities are more likely to be the result of the escape of supernova ejecta, rather than youth.
Decreasing Handoff-Related Care Failures in Children’s Hospitals

BACKGROUND AND OBJECTIVE: Patient handoffs in health care require transfer of information, responsibility, and authority between providers. Suboptimal patient handoffs pose a serious safety risk. Studies demonstrating the impact of improved patient handoffs on care failures are lacking. The primary objective of this study was to evaluate the effect of a multihospital collaborative designed to decrease handoff-related care failures. METHODS: Twenty-three children’s hospitals participated in a quality improvement collaborative aimed at reducing handoff-related care failures. The improvement was guided by evidence-based recommendations regarding handoff intent and content, standardized handoff tools/methods, and clear transition of responsibility. Hospitals tailored handoff elements to locally important handoff types. Handoff-related care failures were compared between baseline and 3 intervention periods. Secondary outcomes measured compliance to specific change package elements and balancing measure of staff satisfaction. RESULTS: Twenty-three children’s hospitals evaluated 7864 handoffs over the 12-month study period. Handoff-related care failures decreased from baseline (25.8%) to the final intervention period (7.9%) (P < .05). Significant improvement was observed in every handoff type studied. Compliance to change package elements improved (achieving a common understanding about the patient from 86% to 96% [P < .05]; clear transition of responsibility from 92% to 96% [P < .05]; and minimized interruptions and distractions from 84% to 90% [P < .05]) as did overall satisfaction with the handoff (from 55% to 70% [P < .05]). CONCLUSIONS: Implementation of a standardized evidence-based handoff process across 23 children’s hospitals resulted in a significant decrease in handoff-related care failures, observed over all handoff types. Compliance to critical components of the handoff process improved, as did provider satisfaction.
Investigation of prognostic significance of CD109 expression in women with vulvar squamous cell carcinoma

Objective The goal of this study was to investigate the between cluster of differentiation 109 (CD109) expression and tumor diameter, invasion depth, tumor grade, presence of lymph-node metastasis, and overall survival in patients with vulvar squamous cell carcinoma, which is the most common type of vulvar cancer. Method Twenty-six patients who underwent an operation for vulvar cancer between 1999 and 2009 in our clinic were included in this study. Immunohistochemical staining was performed on formalin-fixed and paraffin-embedded tissue. Result Tumor diameter was not found to be significantly associated with CD109 expression, intensity of cytoplasmic staining, or combined score (P = 0.325, P = 0.169, P = 0.352, respectively). Invasion depth and combined score were also not significantly correlated with CD109 expression (P = 0.324 and P = 0.174 respectively). There was a negative correlation between invasion depth and the intensity of cytoplasmic staining (P = 0.042). There was no significant correlation between tumor stage and CD109 expression, the intensity of cytoplasmic staining, and the combined score (P = 0.574, P = 0.389, P = 0.605, respectively). A significant positive correlation was observed between tumor grade and CD109 expression, the intensity of cytoplasmic staining, and the combined score (P = 0.003, P = 0.018, P = 0.008, respectively). No significant difference was found between the percentages of CD109 expression in patients with positive (48%) and negative (11%) lymph nodes (P = 0.058). The percentage of CD109 expression did not significantly differ in relation to overall survival (P = 0.483). Conclusion Comprehensive and more extensive studies are needed to examine the relationship between CD109 expression and vulvar malignant lesions.
Next-Generation Sequence Analysis of Genes Associated with Obesity and Nonalcoholic Fatty Liver Disease-Related Cirrhosis in Extreme Obesity

Objectives: Genome-wide association studies (GWAS) have led to the identification of single nucleotide polymorphisms in or near several loci that are associated with the risk of obesity and nonalcoholic fatty liver disease (NAFLD). We hypothesized that missense variants in GWAS and related candidate genes may underlie cases of extreme obesity and NAFLD-related cirrhosis, an extreme manifestation of NAFLD. Methods: We performed whole-exome sequencing on 6 Caucasian patients with extreme obesity [mean body mass index (BMI) 84.4] and 4 obese Caucasian patients (mean BMI 57.0) with NAFLD-related cirrhosis. Results: Sequence analysis was performed on 24 replicated GWAS and selected candidate obesity genes and 5 loci associated with NAFLD. No missense variants were identified in 19 of the 29 genes analyzed, although all patients carried at least 2 missense variants in the remaining genes without excess homozygosity. One patient with extreme obesity carried 2 novel damaging mutations in BBS1 and was homozygous for benign and damaging MC3R variants. In addition, 1 patient with NAFLD-related cirrhosis was compound heterozygous for rare damaging mutations in PNPLA3. Conclusions: These results indicate that analyzing candidate loci previously identified by GWAS analyses using whole-exome sequencing is an effective strategy to identify potentially causative missense variants underlying extreme obesity and NAFLD-related cirrhosis.
Lesions to right posterior parietal cortex impair visual depth perception from disparity but not motion cues

The posterior parietal cortex (PPC) is understood to be active when observers perceive three-dimensional (3D) structure. However, it is not clear how central this activity is in the construction of 3D spatial representations. Here, we examine whether PPC is essential for two aspects of visual depth perception by testing patients with lesions affecting this region. First, we measured subjects' ability to discriminate depth structure in various 3D surfaces and objects using binocular disparity. Patients with lesions to right PPC (N = 3) exhibited marked perceptual deficits on these tasks, whereas those with left hemisphere lesions (N = 2) were able to reliably discriminate depth as accurately as control subjects. Second, we presented an ambiguous 3D stimulus defined by structure from motion to determine whether PPC lesions influence the rate of bistable perceptual alternations. Patients' percept durations for the 3D stimulus were generally within a normal range, although the two patients with bilateral PPC lesions showed the fastest perceptual alternation rates in our sample. Intermittent stimulus presentation reduced the reversal rate similarly across subjects. Together, the results suggest that PPC plays a causal role in both inferring and maintaining the perception of 3D structure with stereopsis supported primarily by the right hemisphere, but do not lend support to the view that PPC is a critical contributor to bistable perceptual alternations. This article is part of the themed issue ‘Vision in our three-dimensional world’.
Cellulose Binding Protein from the Parasitic Nematode Heterodera schachtii Interacts with Arabidopsis Pectin Methylesterase: Cooperative Cell Wall Modification during Parasitism[W]

Plant–parasitic cyst nematodes secrete a complex of cell wall–digesting enzymes, which aid in root penetration and migration. The soybean cyst nematode Heterodera glycines also produces a cellulose binding protein (Hg CBP) secretory protein. To determine the function of CBP, an orthologous cDNA clone (Hs CBP) was isolated from the sugar beet cyst nematode Heterodera schachtii, which is able to infect Arabidopsis thaliana. CBP is expressed only in the early phases of feeding cell formation and not during the migratory phase. Transgenic Arabidopsis expressing Hs CBP developed longer roots and exhibited enhanced susceptibility to H. schachtii. A yeast two-hybrid screen identified Arabidopsis pectin methylesterase protein 3 (PME3) as strongly and specifically interacting with Hs CBP. Transgenic plants overexpressing PME3 also produced longer roots and exhibited increased susceptibility to H. schachtii, while a pme3 knockout mutant showed opposite phenotypes. Moreover, CBP overexpression increases PME3 activity in planta. Localization studies support the mode of action of PME3 as a cell wall–modifying enzyme. Expression of CBP in the pme3 knockout mutant revealed that PME3 is required but not the sole mechanism for CBP overexpression phenotype. These data indicate that CBP directly interacts with PME3 thereby activating and potentially targeting this enzyme to aid cyst nematode parasitism.
A Pedestrian-Detection Method Based on Heterogeneous Features and Ensemble of Multi-View–Pose Parts

Vision-based pedestrian detection remains a challenging task, so far. The detection performance often suffers from the various appearances of pedestrians, the illumination changes, and the possible partial occlusions. Aiming at resolving these challenges, in this paper, a new linear kernel function is proposed to effectively combine two heterogeneous features, i.e., histogram of oriented gradient and local binary pattern, which enhances the pedestrian description ability to illumination conditions and cluttered background. Then, a novel multi-view-pose part ensemble (MVPPE) detector is proposed, in order to better handle pedestrian variability, views, and partial occlusions. Experimental results in public data sets demonstrate that the proposed feature combination method significantly improves the description capabilities of pedestrian features. Compared with the existing multipart ensemble approaches, the proposed MVPPE detector boosts higher detection accuracy.
Investigating second language learning and musical ability: an ERP study

Individual differences such as working memory and musical ability are associated with L2 learning (e.g., Slevc & Miyake, 2006). We explored the extent to which musical ability/experience and L1-L2 similarity related to L2 learning using event-related brain potentials (ERPs). Sessions 1 and 2 included L2 grammar and vocabulary training, Sessions 2 and 3 included grammaticality assessments with ERP recording. Goldsmith’s Musical Sophistication Index (a measure of subjective musical ability on which higher scores suggest higher musical sophistication) correlated positively with grammaticality judgment test performance. ERP data revealed that scores on the Musical Ear Test (MET) for Melody (a test in which participants judged whether or not two similar melodies were the same or different) were related to a reversed N400 ERP component, but only in the first post-test. The N400 is implicated in the processing of meaning, with greater mean amplitudes suggesting greater difficulty with processing and more interference from L1 (Kutas & Federmeier, 2011). These data suggest that, initially, individuals who are more musically talented melodically have an advantage in L2 learning. Finally, there is a large early difference between individuals as a function of MET-Melody and MET-Rhythm scores. Individuals with higher MET-Melody and higher MET-Rhythm scores show a significantly more positive going waveform peaking at 100 ms, suggesting that individuals who are more musically talented process stimuli differently than individuals who are not musically talented, perhaps indicating an attempt to convert visual stimuli into sounds.
The relationships among depression, pain, and masticatory functioning in temporomandibular disorder patients.

AIMS To evaluate the effect of comorbid depression and pain on an early biopsychosocial intervention for acute temporomandibular disorder (TMD) patients. METHODS Depressed (either current or lifetime; n=32) or nondepressed (n=31) acute TMD patients received a biopsychosocial intervention, and were evaluated at preintervention and again 12 months postintervention by Characteristic Pain Intensity, the Beck Depression Inventory, and a masticatory function test. RESULTS Findings revealed that both depressed and nondepressed patients reported comparable pain decreases at 12 months postintervention. Moreover, there were no significant differences between patient groups in masticatory function. CONCLUSION With appropriate early biopsychosocial intervention, acute TMD patients, regardless of the presence or absence of vulnerability to depression symptomatology, can be effectively treated.
Constrained Bundle Methods for Upper Inexact Oracles with Application to Joint Chance Constrained Energy Problems

Joint chance constrained problems give rise to many algorithmic challenges. Even in the convex case, i.e., when an appropriate transformation of the probabilistic constraint is a convex function, its cutting-plane linearization is just an approximation, produced by an oracle providing subgradient and function values that can only be evaluated inexactly. As a result, the cutting-plane model may lie above the true constraint. For dealing with such upper inexact oracles, and still solving the problem up to certain precision, a special numerical algorithm must be put in place. We introduce a family of constrained bundle methods, based on the so-called improvement functions, that is shown to be convergent and encompasses many previous approaches as well as new algorithms. Depending on the oracle accuracy, we analyze to what extent the considered methods solve the joint chance constrained program. The approach is assessed on real-life energy problems, arising when dealing with stochastic hydroreservoir management.