Miracle-dz/UniFAR-FTUs huggingface dataset:
A correlation between self concept and procrastination based on gender in neuroscience perspective

Article history: Received 7 September 2018 Revised 25 October 2018 Accepted 29 October 2018 One of the responsibilities of students is to work on academic tasks in a disciplined manner. The problem that arises is when students have a tendency to delay their academic assignments. This is called academic procrastination. Academic procrastination is procrastinating behavior in carrying out academic assignments. One of the internal factors that is important to study related to procrastination is academic self-concept. Selfconcept becomes a personality style that is important to be explored further in research on procrastination because a person tends to act in line with the self-concept possessed. There have been many studies conducted related to procrastination. Internal factors of academic procrastination aside from psychological factors also have physiological factors such as neuro activity. This research was conducted at SMAN 44 Jakarta in April-May 2018. The research method used was quantitative descriptive method. The sample used is 120 XI MIPA students. Based on the calculation results obtained normal and homogeneous distributed data. The result of hypothesis testing shows that academic self concept has negative correlation with academic procrastination and rxy is -0473. The academic self concept has a contribution of 22.4% in determining the academic procrastination of learners on Biology subjects. This research implies that the importance of improving students 'academic self-concept, especially for teachers, is expected to be able to do Biology learning with methods that can develop students' academic self-concept. © 2018 Universitas Negeri Jakarta. This is an open access article under the CC-BY license (https://creativecommons.org/licenses/by/4.0)
Spatial sketch: bridging between movement & fabrication

Spatial Sketch is a three-dimensional (3D) sketch application that bridges between physical movement and the fabrication of objects in the real world via cut planar materials. This paper explores the rationale and details behind the development of the Spatial Sketch application, and presents our observations from user testing and a hands-on lamp shade design workshop. Finally we reflect upon the relevance of embodied forms of human computer interaction for use in digital fabrication.
Cyclical stretch induces structural changes in atrial myocytes

Atrial fibrillation (AF) often occurs in the presence of an underlying disease. These underlying diseases cause atrial remodelling, which make the atria more susceptible to AF. Stretch is an important mediator in the remodelling process. The aim of this study was to develop an atrial cell culture model mimicking remodelling due to atrial pressure overload. Neonatal rat atrial cardiomyocytes (NRAM) were cultured and subjected to cyclical stretch on elastic membranes. Stretching with 1 Hz and 15% elongation for 30 min. resulted in increased expression of immediate early genes and phosphorylation of Erk and p38. A 24‐hr stretch period resulted in hypertrophy‐related changes including increased cell diameter, reinduction of the foetal gene program and cell death. No evidence of apoptosis was observed. Expression of atrial natriuretic peptide, brain natriuretic peptide and growth differentiation factor‐15 was increased, and calcineurin signalling was activated. Expression of several potassium channels was decreased, suggesting electrical remodelling. Atrial stretch‐induced change in skeletal α‐actin expression was inhibited by pravastatin, but not by eplerenone or losartan. Stretch of NRAM results in elevation of stress markers, changes related to hypertrophy and dedifferentiation, electrical remodelling and cell death. This model can contribute to investigating the mechanisms involved in the remodelling process caused by stretch and to the testing of pharmaceutical agents.
Pulmonary involvements of anti-neutrophil cytoplasmic autoantibody-associated renal vasculitis in Japan.

BACKGROUND Pulmonary involvement is one of the hallmark lesions of anti-neutrophil cytoplasmic autoantibody (ANCA)-associated vasculitis (AAV) as well as rapidly progressive glomerulonephritis (RPGN). However, the pulmonary involvement of AAV patients seems to differ between Europe and Japan, as does the ANCA serotype. METHODS This retrospective and prospective multicenter cohort study collected the clinical data of the features and outcomes of 1772 RPGN patients treated from 1989 to 2007 in Japan. Based on this nationwide RPGN survey, we analyzed the cases of 1147 AAV patients. RESULTS We found that 52.3% of the AAV patients had pulmonary involvements: 15.4% of the AAV patients had alveolar hemorrhage (AH), 26.2% had interstitial lung disease (ILD), 2.8% had bronchial asthma, 2.4% had pulmonary granuloma and 12.8% had a chest X-ray abnormality without AH, ILD or pulmonary granuloma. Patient survival was significantly different among the following six groups: the 5-year survival rate was 41.5% in the patients with AH, 50.2% in those with ILD, 67.9% in those with bronchial asthma, 62.5% in those with pulmonary granuloma, 55.8% in those with chest X-ray abnormality and 73.3% in those without pulmonary involvement. AH was one of the predictors of 1- and 5-year mortality for patient survival in AAV, and ILD was added as one of the predictors of 5-year mortality. CONCLUSION In these AAV patients, not only AH but also ILD was frequently observed. AH was associated with the prognosis, but ILD was associated with the long-term prognosis of AAV.
Excess significance bias in the literature on brain volume abnormalities.

CONTEXT Many studies report volume abnormalities in diverse brain structures in patients with various mental health conditions. OBJECTIVE To evaluate whether there is evidence for an excess number of statistically significant results in studies of brain volume abnormalities that suggest the presence of bias in the literature. DATA SOURCES PubMed (articles published from January 2006 to December 2009). STUDY SELECTION Recent meta-analyses of brain volume abnormalities in participants with various mental health conditions vs control participants with 6 or more data sets included, excluding voxel-based morphometry. DATA EXTRACTION Standardized effect sizes were extracted in each data set, and it was noted whether the results were "positive" (P < .05) or not. For each data set in each meta-analysis, I estimated the power to detect at α = . 05 an effect equal to the summary effect of the respective meta-analysis. The sum of the power estimates gives the number of expected positive data sets. The expected number of positive data sets can then be compared against the observed number. DATA SYNTHESIS From 8 articles, 41 meta-analyses with 461 data sets were evaluated (median, 10 data sets per meta-analysis) pertaining to 7 conditions. Twenty-one of the 41 meta-analyses had found statistically significant associations, and 142 of 461 (31%) data sets had positive results. Even if the summary effect sizes of the meta-analyses were unbiased, the expected number of positive results would have been only 78.5 compared with the observed number of 142 (P < .001). CONCLUSION There are too many studies with statistically significant results in the literature on brain volume abnormalities. This pattern suggests strong biases in the literature, with selective outcome reporting and selective analyses reporting being possible explanations.
Sense of belonging to Latvia in Latvian- and Russian-speaking residents of Latvia

This study examined the sense of belonging to Latvia in Latvian-speaking and Russianspeaking residents of Latvia. The structural model involved opportunities for the fulfillment of personal goals and views of the situation in Latvia and the community as predictors of the sense of belonging at both levels of ecological systems. The Russianspeaking subsample consisted of 202 students ranging in age from 18 to 36 (65% females). The Latvian-speaking subsample involved 438 students ranging in age from 18 to 37 (67% females). The Sense of Belonging in Social Context Questionnaire and the Future of Country Questionnaire were applied. Belonging to community predicted belonging to Latvia in both groups of residents. However, the Russian-speaking minority group demonstrated more signs of local belonging and pragmatic ties with Latvia. Providing opportunities for fulfilment of personal goals and facilitating involvement of young people in processes at the country level are challenges for policies, aimed at integration and limiting emigration of young people.
OFDMA-Based Medium Access Control for Next-Generation WLANs

Existing medium access control (MAC) schemes for wireless local area networks (WLANs) have been shown to lack scalability in crowded networks and can suffer from widely varying delays rendering them unsuited to delay sensitive applications, such as voice and video communications. These deficiencies are mainly due to the use of random multiple access techniques in the MAC layer. The design of these techniques is highly linked to the choice of the underlying physical (PHY) layer technology. The advent of new PHY schemes that are based on orthogonal frequency division multiple access (OFDMA) provides new opportunities for devising more efficient MAC protocols. We propose a new adaptive MAC design based on OFDMA technology. The design uses OFDMA to reduce collision during transmission request phases and makes channel access more predictable. To improve throughput, we combine the OFDMA access with a carrier sense multiple access (CSMA) scheme. Data transmission opportunities are assigned through an access point that can schedule traffic streams in both time and frequency (subchannels) domains. We demonstrate the effectiveness of the proposed MAC and compare it to existing mechanisms through simulation and by deriving an analytical model for the operation of the MAC in saturation mode.
No Child Left Behind: Determining Appropriate Assessment Accommodations for Students with Disabilities.

Under NCLB public school students throughout the country must participate in annual testing in specific academic areas and grades outlined in the law, including students with disabilities. Requiring the inclusion of all students with disabilities in stateand district-wide assessments helps ensure that schools, school districts and states are held accountable for the achievement of these students.
Metropolitan Area

DESCRIPTORS*LIBRARY SERVICES, *PUBLIC LIBRARIES; *URBAN AREAS, *CITY PROBLEMS, *IMPROVEMENT PROGRAMS, DISADVANTAGED ENVIRONMENT, DECENTRALIZED LIBRARY SYSTEM, LIBRARIANS, LIBRARY COOPERATION, SCHOOL LIBRARIES, TAX SUPPORT, LIBRARY MATERIALS, LIBRARY STANDARDS, COMMUNITY CHANGE, NEEDS, DEMONSTRATION PROGRAMS, EVALUATION, LIBRARY FACILITIES, STATE FEDERAL AID: ILLINOI:11 MADISON COUNTY, ST. CLAIR COUNTY, ST. LOUIS,
Multimodal Deception Detection: A t-pattern Approach

This work proposes a new approach to deception detection, based on finding significant differences between liars and truth tellers through the analysis of their behavior, verbal and non-verbal. This is based on the combination of two factors: multimodal data collection, and t-pattern analysis. Multimodal approach has been acknowledged in literature about deception detection and on several studies concerning the understanding of any communicative phenomenon. We believe a methodology such as T-pattern analysis could be able to get the best advantages from an approach that combines data coming from multiple signaling systems. In fact, T-pattern analysis is a recent methodology for the analysis of behavior that unveil the complex structure at the basis of the organization of human behavior. For this work, we conducted an experimental study and analyzed data related to a single subject. Results showed how T-pattern analysis allowed to find differences between truth telling and lying. This work aims at making progress in the state of knowledge about deception detection, with the final goal to propose a useful tool for the improvement of public security and well-being.
Discovery of a Featureless X-Ray Spectrum in the Supernova Remnant Shell of G330.2+1.0

We report here on the first pointed X-ray observation of the supernova remnant (SNR) G330.2+1.0. The X-ray morphology is characterized by an extended shell. Its X-ray spectrum is well represented by a single power-law function with a photon index of $\gamma\simeq 2.8$ and interstellar absorption of $n_{\rm H}\simeq2.6\times 10^{22}$[cm$^{-2}$]. We interpret this emission as synchrotron radiation from accelerated electrons at the SNR shock, as seen in SN 1006. The surface brightness of the X-ray emission is anti-correlated with the radio emission, and the power-law spectrum is dominated at the western shell where the radio emission is weak. The co-existence of two distinct (radio bright/X-ray faint and radio faint/X-ray bright) shells in a single supernova remnant challenges our understanding of the particle acceleration and radiation mechanisms in different interstellar environments. The object may be a good target for searching TeV gamma-rays and molecular gas surrounding the blast shock. We also report on the nature of a bright point-like source (AX J1601-5143) to the south of the SNR.
Design of prototype humanoid robotics platform for HRP

This paper presents a prototype humanoid robotics platform developed for HRP-2. HRP-2 is a new humanoid robotics platform, which we have been developing in phase two of HRP HRP is a humanoid robotics project, which has been launched by Ministry of Economy, Trade and Industry (METI) of Japan from 1998FY to 2002FY for five years. The ability of the biped locomotion of HRP-2 is improved so that HRP-2 can cope with rough terrain in the open air and can prevent the possible damages to a humanoid robot's own self in the event of tipping over. The ability of whole body motion of HRP-2 is also improved so that HRP-2 can get up by a humanoid robot's own self even tough HRP-2 tips over. In this paper, the mechanisms and specifications of developed prototype humanoid robotics platform, and its electrical system are introduced.
Teachers’ attitudes towards lesson study, perceived competence, and involvement in lesson study: evidence from junior high school teachers

ABSTRACT A considerable body of literature has shown the benefits of lesson study, but little attention has been paid to the determinants of lesson study involvement. This study examines how teachers’ participation in lesson study is affected by their attitudes towards lesson study as well as their perceived competence. A multilevel logistic regression model and a multilevel multinomial logit model are separately used to analyse representative data on active junior high school teachers in Taiwan. The results reveal that teachers’ positive attitudes towards self-development are significantly correlated with complete participation as well as with partial participation in the lesson study cycle, while teachers’ perceived competence only relates to complete participation. This study not only contributes to developing predictors of lesson study involvement but also provides valuable references for policymakers.
Problem Based and Studio Based Learning: Approaches to Promoting Reform Thinking among Teacher Candidates

Problem based learning (PBL), which originated in medical schools in the 1960s, and studio based learning (SBL), which can be traced to apprenticeship designs of the Middle Ages, are pedagogies that are now being utilized across various disciplines of study. PBL is premised on the idea that when students independently research issues related to a problem and then reconvene in a large group to analyze what has been discovered about the issues, the students collectively learn more and learn more deeply about the problem under scrutiny. SBL is similar to PBL with a primary exception being that the learning occurs within the shared learning environment of a studio. This paper reports the findings of a study of the integration of PBL and SBL into a teacher education program. Three cases are presented that support the premise that PBL and SBL can serve as catalysts to reform thinking by teacher candidates.
Contour forests: Fast multi-threaded augmented contour trees

This paper presents a new algorithm for the fast, shared memory multi-threaded computation of contour trees on tetrahedral meshes. In contrast to previous multi-threaded algorithms, our technique computes the augmented contour tree. Such an augmentation is required to enable the full extent of contour tree based applications, including for instance data segmentation. Our approach relies on a range-driven domain partitioning. We show how to exploit such a partitioning to rapidly compute contour forests. We also show how such forests can be efficiently turned into the output contour tree. We report performance numbers that compare our approach to a reference sequential implementation for the computation of augmented contour trees. These experiments demonstrate the run-time efficiency of our approach. We demonstrate the utility of our approach with several data segmentation tasks. We also provide a lightweight VTK-based C++ implementation of our approach for reproduction purposes.
Paying For Performance In Healthcare: Implications For Health System Performance And Accountability

Health spending continues to grow faster than the economy in most OECD countries. In 2010, the OECD published a study of strategies to increase value for money in health care, in which pay for performance (P4P) was identified as an innovative tool to improve health system efficiency in several OECD countries. However, evidence that P4P increases value for money, boosts quality of processes in health care, or improves health outcomes is limited. This book explores the many questions surrounding P4P such as whether the potential power of P4P has been over-sold, or whether the disappointing results to date are more likely rooted in problems of design and implementation or inadequate monitoring and evaluation. The book also examines the supporting systems and process, in addition to incentives, that are necessary for P4P to improve provider performance and to drive and sustain improvement. The book utilises a substantial set of case studies from 12 OECD countries to shed light on P4P programs in practice. Featuring both high and middle income countries, cases from primary and acute care settings, and a range of both national and pilot programmes, each case study features:• Analysis of the design and implementation decisions, including the role of stakeholders • Critical assessment of objectives versus results • Examination of the of 'net' impacts, including positive spillover effects and unintended consequences The detailed analysis of these 12 case studies together with the rest of this critical text highlight the realities of P4P programs and their potential impact on the performance of health systems in a diversity of settings. As a result, this book provides critical insights into the experience to date with
Techniques for Constructing Biorthogonal Bipartite Graph Filter Banks

The processing of data defined on irregular discrete domains, i.e., graph signals, is becoming an emerging area with great application potential. Using spectral graph theory, Narang and Ortega (2013) laid the framework for two channel filter banks with critical sampling for bipartite graph signals. The bipartite graph filter bank can be extended to any arbitrary graph using the notion of separable filtering. The design of the biorthogonal filter banks by Narang and Ortega (2013) is based on the factorization of a maximally flat polynomial. The factorization technique does not allow much control of the spectral response of the graph filters, resulting in response asymmetry. In this paper, we present a generic framework for constructing biorthogonal graph filter banks that does not require factorization. We introduce the notion of polyphase representation and ladder structures for graph filter banks. We show that filters having virtual spectral symmetry and almost energy preservation can be constructed without any sophisticated optimization. Fine control of the spectral response can also be achieved with ease.
Decoding as Continuous Optimization in Neural Machine Translation

We propose a novel decoding approach for neural machine translation (NMT) based on continuous optimisation. The resulting optimisation problem is then tackled using constrained gradient optimisation. Our powerful decoding framework, enables decoding intractable models such as the intersection of left-to-right and right-to-left (bidirectional) as well as source-to-target and target-to-source (bilingual) NMT models. Our empirical results show that our decoding framework is effective, and leads to substantial improvements in translations generated from the intersected models where the typical greedy or beam search is infeasible.
Cursor control by Kalman filter with a non-invasive body–machine interface

Objective. We describe a novel human–machine interface for the control of a two-dimensional (2D) computer cursor using four inertial measurement units (IMUs) placed on the user’s upper-body. Approach. A calibration paradigm where human subjects follow a cursor with their body as if they were controlling it with their shoulders generates a map between shoulder motions and cursor kinematics. This map is used in a Kalman filter to estimate the desired cursor coordinates from upper-body motions. We compared cursor control performance in a centre-out reaching task performed by subjects using different amounts of information from the IMUs to control the 2D cursor. Main results. Our results indicate that taking advantage of the redundancy of the signals from the IMUs improved overall performance. Our work also demonstrates the potential of non-invasive IMU-based body–machine interface systems as an alternative or complement to brain–machine interfaces for accomplishing cursor control in 2D space. Significance. The present study may serve as a platform for people with high-tetraplegia to control assistive devices such as powered wheelchairs using a joystick.
Genotype‐by‐environment interactions leads to variable selection on life‐history strategy in Common Evening Primrose (Oenothera biennis)

Monocarpic plant species, where reproduction is fatal, frequently exhibit variation in the length of their prereproductive period prior to flowering. If this life‐history variation in flowering strategy has a genetic basis, genotype‐by‐environment interactions (G × E) may maintain phenotypic diversity in flowering strategy. The native monocarpic plant Common Evening Primrose (Oenothera biennis L., Onagraceae) exhibits phenotypic variation for annual vs. biennial flowering strategies. I tested whether there was a genetic basis to variation in flowering strategy in O. biennis, and whether environmental variation causes G × E that imposes variable selection on flowering strategy. In a field experiment, I randomized more than 900 plants from 14 clonal families (genotypes) into five distinct habitats that represented a natural productivity gradient. G × E strongly affected the lifetime fruit production of O. biennis, with the rank‐order in relative fitness of genotypes changing substantially between habitats. I detected genetic variation in annual vs. biennial strategies in most habitats, as well as a G × E effect on flowering strategy. This variation in flowering strategy was correlated with genetic variation in relative fitness, and phenotypic and genotypic selection analyses revealed that environmental variation resulted in variable directional selection on annual vs. biennial strategies. Specifically, a biennial strategy was favoured in moderately productive environments, whereas an annual strategy was favoured in low‐productivity environments. These results highlight the importance of variable selection for the maintenance of genetic variation in the life‐history strategy of a monocarpic plant.