Miracle-dz/UniFAR-FTUs huggingface dataset:
PENGARUH KEDISIPLINAN BELAJAR TERHADAP HASIL BELAJAR MATEMATIKA SISWA DI SEKOLAH DASAR

Kedisiplinan belajar merupakan hal yang penting dalam belajar. Penelitian ini bertujuan untuk mengetahui hubugan kedisiplinan belajar terhadap hasil belajar matematika siswa. Menggunakan metode ex post facto karena eksistensi dari variabel yang diteliti telah terjadi. Hasil penelitian menggunakan analisis statatistik deskriptif menunjukkan bahwa rata-rata hasil kedisplinan siswa adalah 72,22 dan tergolong cukup tinggi, rata-rata hasil belajar matematika siswa adalah 77,97 tergolong tinggi. Hasil penelitian mengunakan korelasi Pearson Product Moment menunjukkan nilai r hitung 0,799 lebih besar dari nilai r tabel untuk n = 36 yaitu 0,329berarti terdapat pengaruh kedisiplinan belajar terhadap hasil belajar siswa di SD Negeri Nusa Harapan Permai Kota Makassar yang menjadi populasi. Hasil uji signifikan dengan α 5 % diperoleh t hitung 7,746 lebih besar dari t tabel 1,691, ini berarti terdapat pengaruh yang signifikan kedisiplinan belajar terhadap hasil belajar Matematika siswa di SD Negeri Nusa Harapan Permai Kota Makassar. Pada hakekatnya kedisiplinan adalah hal yang dapat dilatih. Penelitian ini dapat menjadi acuan dalam melatih kedisiplinan siswa. Salah satu hal yang dapat dilakukan adalah membiasakan anak untuk mengaktifkan diri dengan nilai-nilai moral untuk memiliki dan mengembangkan disiplin diri. Hal ini sesuai dengan teori Shochib. Discipline learning is an important thing in learning. This study aims to find out the hubugan discipline of learning on student learning outcomes mathematics. Using the ex post facto method because the existence of the variables studied has occurred. The result of the research using descriptive statistical analysis showed that the average of disciplinary result of students was 72.22 and quite high, the average of students' mathematics learning result was 77,97 was high. The result of the research using Pearson Product Moment correlation shows the value of rs 0,799 bigger than rtabel value for n = 36 that is 0,329 mean there is influence of learning discipline to student learning result at SD Negeri Nusa Harapan Permai Kota Makassar become population. Significant test results with α 5% obtained tcount 7.746 greater than t table 1.691, this means there is a significant effect of learning discipline on student learning outcomes in Elementary School Nusa Harapan Permai Makassar City. In essence, discipline is something that can be trained. This research can be a reference in training student discipline. One of the things that can be done is to familiarize children to activate themselves with moral values to own and develop self-discipline. This is in accordance with Shochib's theory.
Epidemiology of Syphilis in regional blood transfusion centres in Burkina Faso, West Africa

Introduction Syphilis remains a major public health problem in sub-Saharan Africa, including Burkina Faso. However, few published data are available on the prevalence of syphilis in the general population. This study had two main objectives: to determine the seroprevalence of syphilis in a cohort of 37,210 first time blood donors and to study socio-demographic factors associated with the risk of infection by Treponema pallidum. Methods Antibodies to Treponema pallidum were screened for, by using Reagin Rapid Test (RPR) and their presence was confirmed by treponema pallidum haemagglutination test (TPHA). Results The overall seroprevalence of syphilis was 1.5% among first time blood donors and was significantly different between centers (p <0.001). The infection was significantly higher in men than women among blood donors in Ouagadougou and Fada N′gourma (P = 0.001 and P = 0.034). The overall seroprevalence of syphilis among blood donors was not associated with either age group or HIV status. In contrast, a significantly high seroprevalence of syphilis was observed in blood donors with HBsAg (P = 0.014) and anti-HCV (P = 0.007) positive. Conclusion Our report shows a low seroprevalence of syphilis in the representative sample of the population of Burkina Faso. The seroprevalence of syphilis remains unequally distributed between urban and rural areas and was not associated with HIV infection.
Metacognitive Pedagogical Sequence for Less-Proficient Thai EFL Listeners: A Comparative Investigation

This study investigated the impact of metacognitive pedagogical sequence on development of less-proficient Thai EFL listeners’ L2 listening metacognition and listening comprehension achievement over a semester. Sixty-four university students who were enrolled in a listening course participated in a quasi-experimental study. Both the intervention group (IG) and the comparison group (CG) received listening lessons comprised of pre-listening, during-listening, and post-listening activities. Each lesson was designed to allow both groups to practise listening to the same video and audio texts the same number of times. However, the IG engaged in key metacognitive processes such as prediction/planning during pre-listening, monitoring, evaluating, planning, and problem-solving with peer dialogue and collaboration in the during-listening, and post-listening activities followed by reflection and goal-setting. Students’ L2 listening metacognition development was assessed using the Metacognitive Awareness Listening Questionnaire (MALQ) at the beginning, during, and at the end of the intervention and after the final listening test. Data were also collected and analysed from responses to an open-ended questionnaire and semi-structured interviews. ANCOVA showed no significant differences between the two groups on the scores of the achievement post-tests. However, repeated-measures ANOVA showed significant gains by the IG in development of metacognition of three listening-related factors, Problem Solving, Planning and Evaluation, and Directed Attention, while only Planning and Evaluation was found to be significant in the CG. Possible reasons for these statistical results are explained, supported by the qualitative findings. Implications for future research and listening pedagogy using the metacognitive pedagogical sequence for less-skilled listeners are also discussed.
Mahalanobis Matching and Equal Percent Bias Reduction

Section 1 comprises a literature review, which introduces the reader to Mahalanobis Matching and the Rubin causal framework, summarizes key papers on anely invariant matching methods, and introduces results which will be used later in the thesis. Section 2.1 computes a new approximation for the expected bias after exact matching with one binary covariate. Section 3.1 reviews work on conditionally anely invariant matching methods from [RT92a]. In Section 3.2, under the assumptions for conditionally anely invariant matching, we write the bias reduction in a novel form, and give an interpretation for how quickly the matching approaches equal percent bias reduction (EPBR). In Section 4 we look at the probability that additional special covariates do not a↵ect the matching. We compute an asymptotic lower bound for this probability, in the case when these additional covariates are bounded. Section 5 contains simulation results illustrating the approximation in Section 2, the asymptotic bound in Section 4, and the performance of Mahalanobis matching on ellipsoidal and discrete covariates.
An Experimental Implementation of Software Rejuvenation in Time Warp Simulation

Software rejuvenation is a technique to prevent aging of running software. Recently, benefits of software rejuvenation in high-performance computing (HPC) areas have been remarked. In this paper, we develop a simple rejuvenation technique for time warp-based parallel and distributed simulation systems. We also present the analytical model to evaluate the reliability of the system which employs our rejuvenation scheme. Furthermore, numerical examples of a couple of parameters of the analytical model are obtained from an experimental implementation of time warp simulator.
Frontline hotel employees’ psychological capital, trust in organization, and their effects on nonattendance intentions, absenteeism, and creative performance

ABSTRACT A research model investigating trust in organization as a mediator of the impact of psychological capital (PsyCap) on intention to leave work early, intention to be late for work, absenteeism, and creative performance is proposed and tested. Data came from 159 hotel employees one week apart in three waves and their immediate supervisors in Russia. The aforementioned relationships were tested using structural equation modeling. The findings suggest that trust in organization is a full mediator between PsyCap and the aforesaid nonattendance intentions and absenteeism, while PsyCap positively affects creative performance directly and indirectly through trust in organization. Our study contributes to the extant hospitality research by investigating the underlying mechanism that links PsyCap to nonattendance intentions, absenteeism, and creative performance.
Factors Associated with Serum Levels of Carcinoembryonic Antigen in Healthy Non-smokers

Background Carcinoembryonic antigen (CEA), a serological marker of malignant tumors, demonstrates a modest increase under nonmalignant conditions such as aging and smoking. Also, recent study results suggested that serum CEA levels may be related to insulin resistance or low-grade inflammation. The aim of this study was to investigate the factors associated with serum CEA levels in healthy non-smokers. Methods Data was gathered from 21,501 adults aged 20 and over. We excluded 19,081 subjects who had omissions in anthropometric measurements or laboratory tests, or who had previous or current smoking history. Results The mean CEA level was 1.18 ± 0.85 ng/dL in males and 0.93 ± 0.73 ng/dL in females. After adjustment for age, CEA level was positively correlated with fasting glucose, glycosylated hemoglobin (HbA1C), high density lipoprotein (HDL) cholesterol, estimated glomerular filtration rate in males. In females, CEA level was positively correlated with fasting glucose, HbA1C, HDL cholesterol, aspartate aminotransferase, and high-sensitivity C-reactive protein. In both gender groups, HbA1C had a strong influence on CEA levels when all other variables were included in the regression model (P < 0.05). Conclusion Within normal range, serum CEA levels were significantly associated with HbA1C levels but not with homeostasis model assessment of insulin resistance in the non-smoking population. These findings suggest that serum CEA levels are influenced by the glucose level itself instead of insulin resistance.
Optimal load balancing and scheduling in a distributed computer system

A broadcast communication network that interconnects multiple hosts N considered. A job generated by a host is either generic, m which case It can be processed at any of the hosts in the network, or dedicated, m which case it must be processed at the host from which it originates. It is assumed that each host can generate several types of dedicated jobs, where each type imposes a constraint on its average response time. The optimal design objective is twofold: First, to redistribute the generic jobs among the host computers in order to minimize the average response time, which shall be referred to as the load-balancing problem; second, for each host computer, to design a control that schedules the dedicated and the generic Jobs so that the response-time constraints are met for each of the dedicated traffic types. Despite its complexity, the model described above has some attractive features. Specifically, for a given allocation of the generic traffic, the scheduhng problem at each host can be solved as a polymatroid optimization problem. The underlying polymatroid structure leads to an efficient algorithm to determine, as a function of the offered load of generic traffic, the average delay of the generic jobs at any given host. Further analysis reveals that the delay functions at each of the hosts are convex and increasing. Therefore, an allocation algorlthm can be employed to solve the system-level load-balancing problem. An example is provided mdlcating that a substantial improvement m performance can be obtained by incorporating scheduling into the load-balancing procedure.
Exome arrays capture polygenic rare variant contributions to schizophrenia

Schizophrenia is a highly heritable disorder. Genome-wide association studies based largely on common alleles have identified over 100 schizophrenia risk loci, but it is also evident from studies of copy number variants (CNVs) and from exome-sequencing studies that rare alleles are also involved. Full characterization of the contribution of rare alleles to the disorder awaits the deployment of sequencing technology in very large sample sizes, meanwhile, as an interim measure, exome arrays allow rare non-synonymous variants to be sampled at a fraction of the cost. In an analysis of exome array data from 13 688 individuals (5585 cases and 8103 controls) from the UK, we found that rare (minor allele frequency < 0.1%) variant association signal was enriched among genes that map to autosomal loci that are genome-wide significant (GWS) in common variant studies of schizophrenia genome-wide association study (PGWAS = 0.01) as well as gene sets known to be enriched for rare variants in sequencing studies (PRARE = 0.026). We also identified the gene-wise equivalent of GWS support for WDR88 (WD repeat-containing protein 88), a gene of unknown function (P = 6.5 × 10−7). Rare alleles represented on exome chip arrays contribute to the genetic architecture of schizophrenia, but as is the case for GWAS, very large studies are required to reveal additional susceptibility alleles for the disorder.
Superhumps in a Peculiar SU Ursae Majoris-Type Dwarf Nova, ER Ursae Majoris

We report the photometry of a peculiar SU Ursae Majoris-type dwarf nova, ER Ursae Majoris, for 10 nights during 1998 December and 1999 March, covering a complete rise to the supermaximum and a normal outburst cycle. Superhumps have been found during the rise to the superoutburst. A negative superhump appeared in the December 22 light curve, while the superhump on the next night became positive and had a large-amplitude waveform distinct from that of the previous night. In the normal outbursts we captured, superhumps with larger or smaller amplitudes seem to always exist, although it is not necessarily true for every normal outburst. These results show great resemblance to V1159 Ori. It is more likely that superhumps occasionally exist at essentially all phases of the eruption cycles of ER UMa stars, which should be considered in modeling.
Use of Linear Free Energy Relationships (LFERs) to Elucidate the Mechanisms of Reaction of a γ-Methyl-β-alkynyl and an ortho-Substituted Aryl Chloroformate Ester

The specific rates of solvolysis of 2-butyn-1-yl-chloroformate (1) and 2-methoxyphenyl chloroformate (2) are studied at 25.0 °C in a series of binary aqueousorganic mixtures. The rates of reaction obtained are then analyzed using the extended Grunwald-Winstein (G-W) equation and the results are compared to previously published G-W analyses for phenyl chloroformate (3), propargyl chloroformate (4), p-methoxyphenyl choroformate (5), and p-nitrophenyl chloroformate (6). For 1, the results indicate that dual side-by-side addition-elimination and ionization pathways are occurring in some highly ionizing solvents due to the presence of the electron-donating γ-methyl group. For 2, the analyses indicate that the dominant mechanism is a bimolecular one where the formation of a tetrahedral intermediate is rate-determining.
Relationship between Intracranial Pressure and Critical Closing Pressure in Patients with Neurotrauma

Background The driving pressure gradient for cerebral perfusion is the difference between mean arterial pressure (MAP) and critical closing pressure (CCP = zero flow pressure). Therefore, determination of the difference between MAP and CCP should provide an appropriate monitoring of the effective cerebral perfusion pressure (CPPeff). Based on this concept, the authors compared conventional measurements of cerebral perfusion pressure by MAP and intracranial pressure (CPPICP) with CPPeff. Methods Simultaneous synchronized recordings of pressure waveforms of the radial artery and blood flow velocities of the middle cerebral artery were performed in 70 head trauma patients. CCP was calculated from pressure–flow velocity plots by linear extrapolation to zero flow. Results Intracranial pressure measured by intraventricular probes and CCP ranged from 3 to 71 and 4 to 70 mmHg, respectively. Linear correlation between ICP and CCP was r = 0.91. CPPICP was 77 ± 20 mmHg and did not differ from CPPeff; linear correlation was r = 0.92. However, limits of agreement were only ± 16.2 mmHg. Therefore, in 51.4% of the patients, CPPICP overestimated CPPeff by 19.8 mmHg at most. Conclusion Assuming that CPPeff (MAP − CCP) takes into account more determinants of cerebral downstream pressure, in individual cases, the actual gold standard of CPP determination (MAP − ICP) might overestimate the CPPeff of therapeutic significance.
Deep Convolution Neural Networks for Medical Image Analysis

Breast cancer is a highly contagious disease that has killed many people all over the world. It can be fully recovered from early detection. To enable the early detection of the breast cancer, it is very important to classify accurately whether it is breast cancer or not. Recently, the deep learning approach method on the medical images such as these histopathologic images of the breast cancer is showing higher level of accuracy and efficiency compared to the conventional methods. In this paper, the breast cancer histopathological image that is difficult to be distinguished was analyzed visually. And among the deep learning algorithms, the CNN(Convolutional Neural Network) specialized for the image was used to perform comparative analysis on whether it is breast cancer or not. Among the CNN algorithms, VGG16 and InceptionV3 were used, and transfer learning was used for the effective application of these algorithms.The data used in this paper is breast cancer histopathological image dataset classifying the benign and malignant of BreakHis. In the 2-class classification task, InceptionV3 achieved 98% accuracy. It is expected that this deep learning approach method will support the development of disease diagnosis through medical images.
Distributional Information Shapes Infants’ Categorization of Objects

While distributional learning has been successfully demonstrated for auditory categorization, this study tests whether this mechanism also applies to object categorization: Ten-month-olds (n = 38) were familiarized with either a unimodal or bimodal distribution of a visual continuum. Using automatic eye tracking, we assessed categorization through the alternating/nonalternating paradigm. For infants in the bimodal condition, their average dwell time was larger for alternating trials than for nonalternating trials, while infants in the unimodal condition initially looked equally long at both types of trials. This group difference suggests that the shape of frequency distribution bears on the number of categories that infants construct from a continuum. Later in test, all infants show this alternating preference. We conclude that categorization is a flexible process, continuously adjusting itself to additional input.
Variable-based multi-module data caches for clustered VLIW processors

Memory structures consume an important fraction of the total processor energy. One solution to reduce the energy consumed by cache memories consists of reducing their supply voltage and/or increase their threshold voltage at an expense in access time. We propose to divide the L1 data cache into two cache modules for a clustered VLIW processor consisting of two clusters. Such division is done on a variable basis so that the address of a datum determines its location. Each cache module is assigned to a cluster and can be set up as a fast power-hungry module or as a slow power-aware module. We also present compiler techniques in order to distribute variables between the two cache modules and generate code accordingly. We have explored several cache configurations using the Mediabench suite and we have observed that the best distributed cache organization outperforms traditional cache organizations by 19%-31% in energy-delay and by 11%-29% in energy-delay. In addition, we also explore a reconfigurable distributed cache, where the cache can be reconfigured on a context switch. This reconfigurable scheme further outperforms the best previous distributed organization by 3%-4%.
The Transcription Factor WIN1/SHN1 Regulates Cutin Biosynthesis in Arabidopsis thaliana[W]

The composition and permeability of the cuticle has a large influence on its ability to protect the plant against various forms of biotic and abiotic stress. WAX INDUCER1 (WIN1) and related transcription factors have recently been shown to trigger wax production, enhance drought tolerance, and modulate cuticular permeability when overexpressed in Arabidopsis thaliana. We found that WIN1 influences the composition of cutin, a polyester that forms the backbone of the cuticle. WIN1 overexpression induces compositional changes and an overall increase in cutin production in vegetative and reproductive organs, while its downregulation has the opposite effect. Changes in cutin composition are preceded by the rapid and coordinated induction of several genes known or likely to be involved in cutin biosynthesis. This transcriptional response is followed after a delay by the induction of genes associated with wax biosynthesis, suggesting that the regulation of cutin and wax production by WIN1 is a two-step process. We demonstrate that at least one of the cutin pathway genes, which encodes long-chain acyl-CoA synthetase LACS2, is likely to be directly targeted by WIN1. Overall, our results suggest that WIN1 modulates cuticle permeability in Arabidopsis by regulating genes encoding cutin pathway enzymes.
Prognostic Tools for Early Mortality in Hemorrhagic Stroke: Systematic Review and Meta-Analysis

Background and Purpose Several risk scores have been developed to predict mortality in intracerebral hemorrhage (ICH). We aimed to systematically determine the performance of published prognostic tools. Methods We searched MEDLINE and EMBASE for prognostic models (published between 2004 and April 2014) used in predicting early mortality (<6 months) after ICH. We evaluated the discrimination performance of the tools through a random-effects meta-analysis of the area under the receiver operating characteristic curve (AUC) or c-statistic. We evaluated the following components of the study validity: study design, collection of prognostic variables, treatment pathways, and missing data. Results We identified 11 articles (involving 41,555 patients) reporting on the accuracy of 12 different tools for predicting mortality in ICH. Most studies were either retrospective or post-hoc analyses of prospectively collected data; all but one produced validation data. The Hemphill-ICH score had the largest number of validation cohorts (9 studies involving 3,819 patients) within our systematic review and showed good performance in 4 countries, with a pooled AUC of 0.80 [95% confidence interval (CI)=0.77-0.85]. We identified several modified versions of the Hemphill-ICH score, with the ICH-Grading Scale (GS) score appearing to be the most promising variant, with a pooled AUC across four studies of 0.87 (95% CI=0.84-0.90). Subgroup testing found statistically significant differences between the AUCs obtained in studies involving Hemphill-ICH and ICH-GS scores (p=0.01). Conclusions Our meta-analysis evaluated the performance of 12 ICH prognostic tools and found greater supporting evidence for 2 models (Hemphill-ICH and ICH-GS), with generally good performance overall.