Miracle-dz/UniFAR-FTUs huggingface dataset:
Association between ozone and asthma emergency department visits in Saint John, New Brunswick, Canada.

This study examines the relationship of asthma emergency department (ED) visits to daily concentrations of ozone and other air pollutants in Saint John, New Brunswick, Canada. Data on ED visits with a presenting complaint of asthma (n = 1987) were abstracted for the period 1984-1992 (May-September). Air pollution variables included ozone, sulfur dioxide, nitrogen dioxide, sulfate, and total suspended particulate (TSP); weather variables included temperature, humidex, dewpoint, and relative humidity. Daily ED visit frequencies were filtered to remove day of the week and long wave trends, and filtered values were regressed on air pollution and weather variables for the same day and the 3 previous days. The mean daily 1-hr maximum ozone concentration during the study period was 41.6 ppb. A positive, statistically significant (p < 0.05) association was observed between ozone and asthma ED visits 2 days later, and the strength of the association was greater in nonlinear models. The frequency of asthma ED visits was 33% higher (95% CI, 10-56%) when the daily 1-hr maximum ozone concentration exceeded 75 ppb (the 95th percentile). The ozone effect was not significantly influenced by the addition of weather or other pollutant variables into the model or by the exclusion of repeat ED visits. However, given the limited number of sampling days for sulfate and TSP, a particulate effect could not be ruled out. We detected a significant association between ozone and asthma ED visits, despite the vast majority of sampling days being below current U.S. and Canadian standards. ImagesFigure 1. AFigure 1. BFigure 2.Figure 3.
Calculations of the Far-Wing Line Profiles of Sodium and Potassium in the Atmospheres of Substellar-Mass Objects

At the low temperatures achieved in cool brown dwarf and hot giant planet atmospheres, the less refractory neutral alkali metals assume an uncharacteristically prominent role in spectrum formation. In particular, the wings of the Na-D (5890 Å) and K I (7700 Å) resonance lines come to define the continuum and dominate the spectrum of T dwarfs from 0.4 to 1.0 μm. Whereas in standard stellar atmospheres the strengths and shapes of the wings of atomic spectral lines are rarely needed beyond 25 Å from a line center, in brown dwarfs the far wings of the Na and K resonance lines out to thousands of angstroms detunings are important. Using standard quantum chemical codes and the unified Franck-Condon model for line profiles in the quasi-static limit, we calculate the interaction potentials and the wing line shapes for the dominant Na and K resonance lines in H2- and helium-rich atmospheres. Our theory has natural absorption profile cutoffs, has no free parameters, and is readily adapted to spectral synthesis calculations for stars, brown dwarfs, and planets with effective temperatures below 2000 K.
Social Loafing and Self-Evaluation With a Social Standard

Social loafing has been described as the phenomenon in which participants who work together generate less effort than do participants who work alone (e.g., Latane, Williams, & Harkins, 1979). Subsequent research (Harkins & Jackson, 1985; Williams, Harkins, & Latane, 1981) has shown that a particular aspect of this paradigm leads to the loafing effect. When participants "work together," their outputs are pooled (combined) so that evaluation of individual output is not possible. In those studies, the evaluation potential of the experimenter has been emphasized. However, when the experimenter could not evaluate individual outputs, neither could the participants evaluate themselves. In this study we tested the possibility that the opportunity for the participants to evaluate themselves would be sufficient to eliminate the loafing effect. In two experiments, the evaluation potential of the experimenter (experimenter evaluation vs. no experimenter evaluation) was crossed with the potential for self-evaluation (self-evaluation vs. no self-evaluation). In both experiments, consistent with previous loafing research, the potential for evaluation by the experimenter was sufficient to increase motivation, whether participants could self-evaluate or not. However, when the experimenter could not evaluate the participants' outputs, the potential for self-evaluation reliably improved participant performance. In fact, self-evaluation was the only motivation needed for participants to exert as much effort as that exhibited by participants who could be evaluated by the experimenter.
PENGARUH PENERAPAN MODEL PEMBELAJARAN KOOPERATIF TIPE SNOWBALL THROWING TERHADAP HASIL BELAJAR FISIKA SISWA KELAS XI IPA SMAN 1 TALAMAU

Penelitian ini dilatar belakangi oleh kurangnya Keterlibatan siswa dalam proses pembelajaran fisika di sekolah. Pembelajaran konvensional seperti metode ceramah dan diskusi lebih membuat siswa menjadi cepat bosan sehingga menyebabkan hasil belajar fisika rendah. Solusi yang diberikan untuk mengatasi masalah ini adalah dengan menggunakan model pmbelajaran koopetif tipe snowball throwing.Jenis penelitian ini adalah quasi eksperiment, dengan desain penelitian posstest only control group design. Pengambilan sampel dilakukan dengan teknik cluster random sampling . Penelitian ini dilaksanakan pada dua kelas sampel yaitu kelas XI IPA 2 sebagai kelas eksperimen dan kelas kontrol XI IPA 3 SMAN 1 Talamau. Instrumen yang digunakan pada penelitian ini adalah pada ranah kognitif berupa tes akhir dan ranah afektif berupa lembar observasi. Pada kelas eksperimen diperoleh persentase aktivitas siswa yaitu 82 sedangkan kelas kontrol yaitu 78.Pada ranah kognitif dari hasil pengujian hipotesis menggunakan uji t didapat t hitung = 5,44 dan t tabel = 1,67, dimana jika t hitung > t tabel maka hipotesis diterima. Sehingga hipotesis tentang penggunaan model kooperatif tipe snowball throwing lebih baik dari model pembelajaran konvensional bisa diterima. Kata kunci : Pembelajaran Fisika, Pembelajaran Kooperatif, Snowball throwing,
A Principal Component Regression Approach for Estimating Ventricular Repolarization Duration Variability

Ventricular repolarization duration (VRD) is affected by heart rate and autonomic control, and thus VRD varies in time in a similar way as heart rate. VRD variability is commonly assessed by determining the time differences between successive R- and T-waves, that is, RT intervals. Traditional methods for RT interval detection necessitate the detection of either T-wave apexes or offsets. In this paper, we propose a principal-component-regression- (PCR-) based method for estimating RT variability. The main benefit of the method is that it does not necessitate T-wave detection. The proposed method is compared with traditional RT interval measures, and as a result, it is observed to estimate RT variability accurately and to be less sensitive to noise than the traditional methods. As a specific application, the method is applied to exercise electrocardiogram (ECG) recordings.
Classifier and Cluster Ensembles for Mining Concept Drifting Data Streams

Ensemble learning is a commonly used tool for building prediction models from data streams, due to its intrinsic merits of handling large volumes stream data. Despite of its extraordinary successes in stream data mining, existing ensemble models, in stream data environments, mainly fall into the ensemble classifiers category, without realizing that building classifiers requires labor intensive labeling process, and it is often the case that we may have a small number of labeled samples to train a few classifiers, but a large number of unlabeled samples are available to build clusters from data streams. Accordingly, in this paper, we propose a new ensemble model which combines both classifiers and clusters together for mining data streams. We argue that the main challenges of this new ensemble model include (1) clusters formulated from data streams only carry cluster IDs, with no genuine class label information, and (2) concept drifting underlying data streams makes it even harder to combine clusters and classifiers into one ensemble framework. To handle challenge (1), we present a label propagation method to infer each cluster's class label by making full use of both class label information from classifiers, and internal structure information from clusters. To handle challenge (2), we present a new weighting schema to weight all base models according to their consistencies with the up-to-date base model. As a result, all classifiers and clusters can be combined together, through a weighted average mechanism, for prediction. Experiments on real-world data streams demonstrate that our method outperforms simple classifier ensemble and cluster ensemble for stream data mining.
Exploring Effects of Information Quality Change in Road Transport Operations

Purpose – The information system (IS) literature has previously emphasized the positive contribution of IT‐enabled quality information on decision making and firm performance, particularly when firms operate in highly competitive and uncertain settings. Yet, our understanding of how such information potentially transforms transport operations and generates improvements in organizational performance is limited. In response, the authors conduct an exploratory comparative case study of three transport firms that have introduced the global positioning system (GPS) in their operations. The purpose of this paper is to focus on assessing changes in transport operations due to the use of the quality information GPS provides and the link between these changes and organizational benefits.Design/methodology/approach – Data were collected through semi‐structured interviews, direct observations and archival documentation in the three transport firms. Applying methods of a comparative case study, the data were analyzed.
POTENTIALS AS INDICES OF LANGUAGE IMPAIRMENT IN CHILDREN BORN PRETERM AND WITH ASPERGER SYNDROME

The main objective of the present follow-up study was to investigate auditory processing by using auditory event related potentials (ERPs), and language development to determine whether a correlation exists between auditory ERPs and language development. Auditory processing was investigated in very low birth weight (VLBW) preterm children and matched controls at mean ages of 4 and 6 years to determine whether there are differences in ERPs between VLBW preterm children and controls. Language development was measured at the mean ages of 2, 4 and 6 years to investigate the developmental course of language learning and to determine whether a relationship exists between ERPs, especially mismatch negativity (MMN), and language development. Auditory ERPs were also measured in children with AS (mean age 9;1 years) and matched controls to assess whether differences can be found between these two groups of children. Language development in children with AS was not investigated for this study. VLBW preterm children exhibited difficulties in the auditory processing at the level of obligatory ERPs, MMN, late MMN (lMMN) and behavioural tests. Both language comprehension and production were deficient in the preterm group compared to their controls. Lexical development was the most prominent phenomenon differentiating preterm children from their controls. MMN and lMMN amplitudes were attenuated most in children with naming difficulty at the ages of 4 and 6 years. Weak or totally missing MMN at the age of 4 years was mainly found in children with naming difficulties. Children with AS also displayed abnormalities in auditory processing, as indexed by delayed MMN latency. MMN was most delayed in the right hemisphere and specifically for tones. In conclusion: VLBW preterm children and children with AS exhibited difficulties in auditory processing. MMN correlated well with language development in preterm children. Therefore, auditory ERPs, especially MMN, should be used in combination with language measures to identify the children at a risk for deficient auditory processing and language delays.
Female Self-Objectification: Causes, Consequences and Prevention

Traditionally, social norms have dictated certain gender roles for men and women. Men have generally been regarded as dominant, masculine, and independent, whereas women are often depicted as weak, sensitive and dependent (Basow, 1986). In contemporary society, however, women are free to adopt more flexible gender roles, ranging from those traditionally regarded as “masculine,” to those considered more “androgynous,” to the more stereotypical female gender roles. Some women, nonetheless, continue to adopt traditional gender roles in which self-objectification may persist. According to Calogero (2013), “self-objectification occurs when the objectifying gaze is turned inward, such that women view themselves through the perspective of an observer and engage in chronic self-surveillance” (p. 312). The literature suggests that certain factors may support women’s ability to adopt more varied gender roles and avoid self-objectification. This paper will review the literature on the factors that cause, prevent and protect women from self-objectification. INTRODUCTION Female self-objectification can best be defined as “regular exposure to objectifying experiences that socialize girls and women to engage in self-objectification, whereby they come to internalize this view of themselves as an object or collection of body parts” (Kroon & Perez, 2013, p. 16). In her book Femininity and Domination: Studies in the phenomenology of oppres-
Failures in Phase III: Causes and Consequences

Phase III randomized controlled trials (RCT) in oncology fail to lead to registration of new therapies more often than RCTs in other medical disciplines. Most RCTs are sponsored by the pharmaceutical industry, which reflects industry's increasing responsibility in cancer drug development. Many preclinical models are unreliable for evaluation of new anticancer agents, and stronger evidence of biologic effect should be required before a new agent enters the clinical development pathway. Whenever possible, early-phase clinical trials should include pharmacodynamic studies to demonstrate that new agents inhibit their molecular targets and demonstrate substantial antitumor activity at tolerated doses in an enriched population of patients. Here, we review recent RCTs and found that these conditions were not met for most of the targeted anticancer agents, which failed in recent RCTs. Many recent phase III RCTs were initiated without sufficient evidence of activity from early-phase clinical trials. Because patients treated within such trials can be harmed, they should not be undertaken. The bar should also be raised when making decisions to proceed from phase II to III and from phase III to marketing approval. Many approved agents showed only better progression-free survival than standard treatment in phase III trials and were not shown to improve survival or its quality. Introduction of value-based pricing of new anticancer agents would dissuade the continued development of agents with borderline activity in early-phase clinical trials. When collaborating with industry, oncologists should be more critical and better advocates for cancer patients. Clin Cancer Res; 21(20); 4552–60. ©2015 AACR. See all articles in this CCR Focus section, “Innovations to Speed Drug Development. ”
LESSON STUDY: IMPROVING TEACHING SKILL FOR SENIOR HIGH SCHOOL TEACHER IN GUNUNGKIDUL

Keterampilan mengajar adalah salah satu bagian penting dari pendidikan matematika. Hal ini membutuhkan guru untuk melakukan inovasi dalam proses pembelajaran. Penelitian ini merupakan penelitian deskriptif kualitatif. Oleh karena itu, tujuan dari makalah ini adalah untuk mendeskripsikan sejauh mana guru SMA menerapkan pelajaran pelajaran dalam proses belajar mengajar. Hasil penelitian yang ditemukan oleh pengamat bahwa mayoritas guru belum melaksanakan lesson study. Sebagian besar guru berpikir bahwa sulit untuk menerapkan lesson study karena manajemen waktu dan perbedaan kurikulum. Ditemukan bahwa SMK 1 Patuk melaksanakan lesson study untuk pertama kalinya. Guru berpikir bahwa pelajaran membantu kedua guru dan siswa dalam melakukan pembelajaran yang lebih baik. Guru membuat inovasi dalam proses pembelajaran. Ada tiga manfaat menggunakan strategi lesson study. Pertama, ini membantu guru untuk meningkatkan kemampuan mengajar mereka di kelas. Kedua, membangun Komunitas Pembelajaran Profesional dengan fokus pada Lesson Study. Ketiga, ia memberi lebih banyak informasi tentang proses belajar siswa di kelas. Kata
Multiscale Analysis for Wireless LAN Traffic Characterization

In this survey paper, we overview the various network traffic models, especially focusing on the multiscale analysis. By multiscale analysis we mean wavelet-based self-similar and multifractal analysis. Multiscale analysis is advantageous in that it can reveal the scaling behavior of the traffic on large time scale, at the same time characterize small-scale irregularity. We also discuss how we can apply this analysis technique to wireless LAN traffic characterization.
Nasogastric intubation after abdominal surgery: a meta-analysis of recent literature.

OBJECTIVE To determine whether refraining from nasogastric intubation (NGI) in patients after abdominal surgery will result in the same therapeutic effectiveness as using NGI. Data Source We identified randomized trials from the Cochrane Central Register of Controlled Trials published between January 1990 and January 2005. STUDY SELECTION Two of us independently selected trials based on randomization, abdominal surgery in patients, early vs late removal of the NGI, and reporting at least 1 of the following end points: hospital stay, gastrointestinal function, and postoperative complications. DATA EXTRACTION Two of us independently performed trial quality assessment and data extraction. Trials were judged using a structured list that included factors relating to internal and external validity. Data were entered and analyzed by means of dedicated software from the Cochrane Collaboration. DATA SYNTHESIS Seventeen randomized trials met the inclusion criteria. Meta-analysis showed that NGI does not offer any clinically relevant benefits for patients after abdominal surgery, such as recovery of gastrointestinal function or reduction of postoperative complications (relative risk, 1.18; 95% confidence interval, 0.98-1.42). Moreover, NGI showed some undesired effects, such as discomfort (in 60% of the NGI patients) and a later return to a liquid diet (weighted mean difference, 0.65 days; 95% confidence interval, 0.38-0.92 days) or a regular diet, whereas hospital stay was not shortened. CONCLUSIONS Routine NGI seems to serve no beneficial purpose and may even be harmful in patients after modern abdominal surgery; also, it is uncomfortable. Therefore, NGI is recommended only as a therapeutic approach.
Comparing manual and automatic segmentation of hippocampal volumes: Reliability and validity issues in younger and older brains

We compared hippocampal volume measures obtained by manual tracing to automatic segmentation with FreeSurfer in 44 younger (20–30 years) and 47 older (60–70 years) adults, each measured with magnetic resonance imaging (MRI) over three successive time points, separated by four months. Retest correlations over time were very high for both manual and FreeSurfer segmentations. With FreeSurfer, correlations over time were significantly lower in the older than in the younger age group, which was not the case with manual segmentation. Pearson correlations between manual and FreeSurfer estimates were sufficiently high, numerically even higher in the younger group, whereas intra‐class correlation coefficient (ICC) estimates were lower in the younger than in the older group. FreeSurfer yielded higher volume estimates than manual segmentation, particularly in the younger age group. Importantly, FreeSurfer consistently overestimated hippocampal volumes independently of manually assessed volume in the younger age group, but overestimated larger volumes in the older age group to a less extent, introducing a systematic age bias in the data. Age differences in hippocampal volumes were significant with FreeSurfer, but not with manual tracing. Manual tracing resulted in a significant difference between left and right hippocampus (right > left), whereas this asymmetry effect was considerably smaller with FreeSurfer estimates. We conclude that FreeSurfer constitutes a feasible method to assess differences in hippocampal volume in young adults. FreeSurfer estimates in older age groups should, however, be interpreted with care until the automatic segmentation pipeline has been further optimized to increase validity and reliability in this age group. Hum Brain Mapp 35:4236–4248, 2014. © 2014 Wiley Periodicals, Inc.
Carotid Endothelial VCAM-1 Is an Early Marker of Carotid Atherosclerosis and Predicts Coronary Artery Disease in Swine

Objective The aim was to determine if endothelial VCAM-1 (eVCAM-1) expression in the common carotid artery (CCA) would correlate with predictive markers of atherosclerotic disease, would precede reduction of markers of endothelial cell function and would predict coronary artery disease (CAD). Methods and results Carotid arterial segments (bifurcation, proximal and distal CCA) were harvested from 14 and 24 month-old male castrated familial hypercholesterolemic (FH) swine, a model of spontaneous atherosclerosis. Quantification of local expression of eVCAM-1, intimal macrophage accumulation, oxidative stress, intima-media (I/M) ratio, intima-media thickness (IMT), endothelial nitric oxide synthase (eNOS) and phosphorylated eNOS (p-eNOS) in selected regions of the carotids revealed a relationship between local inflammation and atheroscle-rotic plaque progression. Importantly, inflammation was not uniform throughout the CCA. Endo-thelial VCAM-1 expression was the greatest at the bifurcation and increased with age. Finally, eV-CAM-1 best estimated the severity of CAD compared to blood levels of glucose, hypercholestero-lemia, carotid IMT, and p-eNOS. Conclusion Our data suggested that eVCAM-1 was closely associated with atherosclerotic plaque progression and preceded impairment of EDD. Thus, this study supported the use of carotid VCAM-1 targeting agents to estimate the severity of CAD.
Localization in Wireless Sensor Grids

This work reports experiences on using radio ranging to position sensors in a grid topology. The implementation is simple, efficient, and could be practically distributed. The paper describes an implementation and experimental result based on RSSI distance estimation. Novel techniques such as fuzzy membership functions and table lookup are used to obtain more accurate result and simplify the computation. An 86% accuracy is achieved in the experiment in spite of inaccurate RSSI distance estimates with errors up to 60%.