Miracle-dz/UniFAR-FTUs huggingface dataset:
PERAN KEGIGIHAN DALAM HUBUNGAN GROWTH MINDSET DAN SCHOOL WELL-BEING SISWA SEKOLAH MENENGAH

This study investigates the relationship between school well-being, growth mindset, and grit. The subjects involved in this study are students from grade 12 in high public and private schools in Purbalingga, Central Java (n=418). The research method used is quantitative method with data collection through three questionnaires, i.e., School Well-Being Scale (32 items, α=0.853); Mindset Scale (20 items, α=0.804); and Grit Scale for Children and Adult (12 items, α=0.774). Results indicated a positive affact growth mindset on school well-being, a positive affact growth mindset on grit, and confirmed the mediating role of grit. It was concluded that the effect of growth mindset on school well-being of senior high school students in Purbalingga was mediated by grit. Growth mindset in students predicts higher school well-being through the enhancement of grit. Thus, giving intervention of growth mindset and grit can be carried out by school to improve students’s school well-being.Keywords: grit, growth mindset, high schools, school well-being Tujuan dari penelitian ini adalah untuk mengetahui hubungan school well-being, growth mindset, dan kegigihan. Partisipan yang terlibat adalah siswa kelas 12 sekolah menangah atas dari sekolah negeri dan sekolah swasta di daerah Purbalingga, Jawa Tengah (n=418). Metode penelitian yang digunakan adalah metode kuantitatif dengan pengumpulan data melalui tiga kuesioner, yaitu skala School Well-Being (32 aitem, α=0.853); skala Mindset (20 aitem, α=0.804); and Grit Scale for Children and Adult (12 aitem, α=0.774). Hasil penelitian menunjukkan adanya pengaruh positif growth mindset terhadap school well-being, pengaruh positif growth mindset terhadap kegigihan, dan kegigihan terkonfirmasi sebagai mediator. Dapat disimpulkan, pengaruh growth mindset terhadap school well-being pada siswa sekolah menengah di Purbalingga dimediasi oleh kegigihan. Growth mindset pada siswa memprediksi school well-being, melalui pengembangan kegigihan. Oleh karena itu, pemberian intervensi dengan menyasar growth mindset dan kegigihan disarankan dapat dilakukan sekolah untuk meningkatkan school well-being siswa.Kata kunci: growth mindset, kegigihan, school well-being, sekolah menengah atas
A Novel Application of Ti-Substituted Polyoxometalates: Anti-Inflammatory Activity in OVA-Induced Asthma Murine Model

Objective. Asthma is a chronic inflammatory disorder. Despite extensive researches into the treatment and management of it, current treatments and management strategies are still limited. The search for a novel approach to its treatments is urgently needed. Researches on the potential medical use of polyoxometalates (POMs) have already shown it has antiviral and antitumor bioactivities. But the effects of POM in immune systems are still largely unknown. Methods. In order to investigate the role of POM in the asthmatic disease, we used OVA-induced asthma murine model and observed the pathological changes between mice that received three different Ti-substituted POMs (0.3 μg per mouse per dose) when challenged with OVA. We also measured the type 2 cytokine expressions to reveal the potential mechanism. Results and Conclusions. Our results showed that two Ti-substituted POMs, K5H2[FeW11TiO40]·17H2O and K5H[H2ZnW11TiO40]·35H2O, could reduce OVA-induced lung inflammation, serum IgE level (around 2000 ng/mL to less than 1000 ng/mL), leukocytes infiltration in the lung, and cytokines levels (including IL-4, IL-5, IL-13, and TNF-α) but Ti-centered POM K4[TiW12O40]·10H2O did not. Thus, Ti-substituted POMs may have pharmaceutical values especially in treatments for asthmatic diseases.
The theory of externalities, public goods and club goods. 2nd. ed.

This book presents a theoretical treatment of externalities (i.e. uncompensated interdependencies), public goods, and club goods. The new edition updates and expands the discussion of externalities and their implications, coverage of asymmetric information, underlying game-theoretic formulations, and intuitive and graphical presentations. Topics investigated include Nash equilibrium, Lindahl equilibria, club theory, preference-revelation mechanism, Pigouvian taxes, the commons, Coase Theorem, and static and repeated games. The authors use mathematical techniques only as much as necessary to pursue the economic argument. They develop key principles of public economics that are useful for subfields such as public choice, labor economics, economic growth, international economics, environmental and natural resource economics, and industrial organization.
Effect of a human-type communication robot on cognitive function in elderly women living alone

Summary Background Considering the high prevalence of dementia, it would be of great value to develop effective tools to improve cognitive function. We examined the effects of a human-type communication robot on cognitive function in elderly women living alone. Material/Methods In this study, 34 healthy elderly female volunteers living alone were randomized to living with either a communication robot or a control robot at home for 8 weeks. The shape, voice, and motion features of the communication robot resemble those of a 3-year-old boy, while the control robot was not designed to talk or nod. Before living with the robot and 4 and 8 weeks after living with the robot, experiments were conducted to evaluate a variety of cognitive functions as well as saliva cortisol, sleep, and subjective fatigue, motivation, and healing. Results The Mini-Mental State Examination score, judgement, and verbal memory function were improved after living with the communication robot; those functions were not altered with the control robot. In addition, the saliva cortisol level was decreased, nocturnal sleeping hours tended to increase, and difficulty in maintaining sleep tended to decrease with the communication robot, although alterations were not shown with the control. The proportions of the participants in whom effects on attenuation of fatigue, enhancement of motivation, and healing could be recognized were higher in the communication robot group relative to the control group. Conclusions This study demonstrates that living with a human-type communication robot may be effective for improving cognitive functions in elderly women living alone.
Biogeosciences Anthropogenic and biophysical contributions to increasing atmospheric CO 2 growth rate and airborne fraction

We quantify the relative roles of natural and anthropogenic influences on the growth rate of atmospheric CO2 and the CO2 airborne fraction, considering both interdecadal trends and interannual variability. A combined ENSO-Volcanic Index (EVI) relates most ( ∼75%) of the interannual variability in CO2 growth rate to the El-Nĩ noSouthern-Oscillation (ENSO) climate mode and volcanic activity. Analysis of several CO2 data sets with removal of the EVI-correlated component confirms a previous finding of a detectable increasing trend in CO 2 airborne fraction (defined using total anthropogenic emissions including fossil fuels and land use change) over the period 1959–2006, at a proportional growth rate 0.24% y −1 with probability ∼0.9 of a positive trend. This implies that the atmospheric CO 2 growth rate increased slightly faster than total anthropogenic CO2 emissions. To assess the combined roles of the biophysical and anthropogenic drivers of atmospheric CO 2 growth, the increase in the CO 2 growth rate (1.9% y −1 over 1959– 2006) is expressed as the sum of the growth rates of four global driving factors: population (contributing +1.7% y −1); per capita income (+1.8% y −1); the total carbon intensity of the global economy ( −1.7% y−1); and airborne fraction (averaging +0.2% y −1 with strong interannual variability). The first three of these factors, the anthropogenic drivers, have therefore dominated the last, biophysical driver as contributors to accelerating CO 2 growth. Together, the recent (post2000) increase in growth of per capita income and decline in the negative growth (improvement) in the carbon intensity of the economy will drive a significant further acceleration in the CO2 growth rate over coming decades, unless these recent trends reverse. Correspondence to: M. R. Raupach (michael.raupach@csiro.au)
Long-run event performance and opinion divergence

I test whether there is a link between the poor post-event performance of SEOs and shortsale constraints. I find that SEOs have a higher and statistically significant probability of being on special (high short-sale costs) in the 36 months after issuance. Thus, shorting demand appears to be high for issuers in the post-issuance period. I also provide indirect evidence using potential proxies for opinion divergence. Issuers with high pre-event volume, high preevent dispersion in analysts’ forecasts, or large reductions in ownership breadth experience significantly low subsequent returns. However, issuers with low pre-event volume, dispersion in analysts’ forecasts, or no reduction in ownership breadth do not significantly underperform. I also find that the post-event performance of issuers is not unique. Most of the abnormal performance of issuers is explained by the performance of non-issuers with similar market equity and trading volume. ∗I thank John Cochrane, Doug Diamond, Gene Fama, Anil Kashyap, Owen Lamont, Chris Malloy, Grant McQueen, Toby Moskowitz, and Lubos Pastor for helpful comments and suggestions. I also thank seminar participants at Brigham Young University, the University of Chicago, Dartmouth College, University of Notre Dame, Emory University, University of Utah, Indiana University, University of North Carolina, University of Virginia, and The Ohio State University. I thank Toby Moskowitz for data. I gratefully acknowledge the contribution of Thomson Financial for providing earnings per share forecast data, available through I/B/E/S. This data has been provided as part of a broad academic program to encourage earnings expectations research. Corresponding Author: Karl Diether, The Ohio State University, Department of Finance, 2100 Neil Avenue, Columbus OH 43210, phone: (614) 292 – 7712, email: diether_1@cob.osu. edu.
Improving distributed workload performance by sharing both CPU and memory resources

We develop and examine job migration policies by considering effective usage of global memory in addition to CPU load sharing in distributed systems. When a node is identified for lacking sufficient memory space to serve jobs, one or more jobs of the node will be migrated to remote nodes with low memory allocations. If the memory space is sufficiently large the jobs will be scheduled by a CPU-based load sharing policy. Following the principle of sharing both CPU and memory resources, we present several load sharing alternatives. Out objective is to reduce the number of page faults caused by unbalanced memory allocations for jobs among distributed nodes, so that overall performance of a distributed system can be significantly improved. We have conducted trace-driven simulations to compare CPU-based load sharing policies with our policies. We show that our load sharing policies not only improve performance of memory bound jobs, but also maintain the same load sharing quality as the CPU-based policies for CPU-bound jobs. Regarding remote execution and preemptive migration strategies, our experiments indicate that a strategy selection in load sharing is dependent on the amount of memory demand of jobs-remote execution is more effective for memory-bound jobs, and preemptive migration is more effective for CPU-bound jobs. Our CPU memory-based policy using either high performance or high throughput approach and using the remote execution strategy performs the best for both CPU-bound and memory-bound jobs.
Scholarship@Western Scholarship@Western Efficacy of exercise therapy in workers with rotator cuff Efficacy of exercise therapy in workers with rotator cuff tendinopathy: A systematic review tendinopathy: A systematic review

: Objective: To perform a systematic review of randomized controlled trials (RCTs) on the efficacy of therapeutic exercises for workers suffering from rotator cuff (RC) tendinopathy. Methods: A literature search in four bibliographical databases (Pubmed, CINAHL, EMBASE, and PEDro) was conducted from inception up to February 2015. RCTs were included if participants were workers suffering from RC tendinopathy, the outcome measures included work-related outcomes, and at least one of the interventions under study included exercises. The methodological quality of the studies was evaluated with the Cochrane Risk of Bias Assessment tool. Results: The mean methodological score of the ten included studies was 54.4% ± 17.2%. Types of workers included were often not defined, and work-related outcome measures were heterogeneous and often not validated. Three RCTs of moderate methodological quality concluded that exercises were superior to a placebo or no intervention in terms of function and return-to-work outcomes. No significant difference was found between surgery and exercises based on the results of two studies of low to moderate methodological quality. One study of low methodological quality, comparing a workplace-based exercise program focusing on the participants’ work demands to an exercise program delivered in a clinical setting, concluded that the work-based intervention was superior in terms of function and return-to-work outcomes. Conclusion: There is low to moderate-grade evidence that therapeutic exercises provided in a clinical setting are an effective modality to treat workers suffering from RC tendinopathy and to promote return-to-work. Further high quality studies comparing different rehabilitation programs including exercises in different settings with defined workers populations are needed to draw firm conclusions on the optimal program to treat workers.
VarCatcher: A Framework for Tackling Performance Variability of Parallel Workloads on Multi-Core

The non-deterministic nature of multi-threaded workloads running on multi-core platforms often leads to notable performance variability from run to run. Such variability makes experimental results prone to misinterpretations or misguided claims. To deal with such variability, statistical inference methods are usually used to summarize the experimental results with certain confidence levels by running the experiments or measurements a large number of times. However, such statistical results are often too vague or too simplistic. They are not sufficient to help users understand the causes of such variability, and allow more in-depth analysis on the results or reproduce the results for validation during design space exploration. To allow better analyzability and reproducibility, we propose a framework to tackle such variability, called VarCatcher. The key to VarCatcher is to characterize a parallel execution using Parallel Characteristics Vector (PCV). A clustering-based approach is then used to group runs with similar execution characteristics that can later be used to analyze results in-depth, to customize different evaluation strategies, reproduce the result for variability, to determine the impact of features, or to assist performance diagnosis. We have built a prototype of VarCatcher that includes a user-level toolset for runtime monitoring and measurements using the Intel Processor Trace feature on commodity Intel processors as well as an architecture extension with very low runtime overheads (around 3 and 0.01 percent accordingly). Several case studies confirm that VarCatcher enables several appealing features such as in-depth result analysis, customized evaluation strategies, and reproducibility.
The influence of teacher support on student adjustment in the middle school years: A latent growth curve study

The influence of perceived teacher support on trajectories of depression and self-esteem in middle school was examined using multigroup latent growth cross-domain models. A longitudinal sample of 2,585 students was followed from the sixth through the eighth grades. Students' perceptions of teacher support and general self-esteem declined and depressive symptoms increased over the course of middle school. We further found that, for both boys and girls, changes in perceptions of teachers' support reliably predicted changes in both self-esteem and depression. In particular, those students perceiving increasing teacher support showed corresponding decreases in depressive symptoms and increases in self-esteem. Gender differences were found for the initial levels of both perceptions of teacher support and general self-esteem. A competing model was also tested, which gave additional support for pathways of influence from perceptions of teacher support to depression and self-esteem, rather than the reverse. This study underscores the role of teacher support in facilitating students' adjustment to middle school and highlights the importance of using idiographic methodologies in the study of developmental processes. Implications and future directions are discussed.
Correlation Between Anomalies and Theories of Mental Accounting

Several consumer choice models account for anomalies in consumption-payment decisions. We consider four models, namely, Prelec and Loewenstein 1998 double-entry model, Thaler 1985 double-comparison model, Baucells and Hwang 2014 reference price adaptation model, and Koszegi and Rabin 2006 reference dependent model. We observe that these models make distinct predictions regarding how different anomalies ought to be related or unrelated. In a controlled experiment we elicit the participant's tendency towards five anomalies, namely, the sunk-cost effect, the reluctance to trade, the flat-rate bias, the preference for pre-pay, and the preference to be post-paid. The observed correlation between anomalies across individuals is consistent with the prediction of Baucells and Hwang 2014 and, to a large extent, with that of Prelec and Loewenstein 1998. The evidence is partially consistent with Thaler 1985, and we find little support for Koszegi and Rabin 2006. The results suggest that the speed of adaptation of reference prices to current price information is a key explanatory factor.
HF radar measurements of long ocean waves

Sea-echo data from three separate narrow-beam HF radar experiments on the Pacific Ocean are analyzed here by techniques presented in Lipa and Barrick (1980). Only those wave spectral components whose periods exceeded 10 s were included. Close agreement of radar-deduced wave field parameters with surface observations confirms the validity of the second-order theoretical solution for the echo Doppler spectrum, upon which this analysis is based. Depending on the particular experiment, a variety of wave parameters are extracted, including rms wave height, mean wave direction, dominant period, angular spread of the wave field, the nondirectional wave height spectrum, and higher Fourier angular coefficients versus wave frequency. The radar-deduced wave parameters fall within the combined error bounds estimated for the radar and buoy wave observations; consequently, we contend that the primary source of error for radar data is finite sample size. Typical accuracies for specific parameters resulting from observations averaged over a 2-hour period are ±5% for wave height, ±0.5 s for wave period, and ±7° for wave direction. Hence the utility of HF radars for long-wave measurements has been validated.
CALIBRATION ASPECTS IN DIRECT GEOREFERENCING OF FRAME IMAGERY

The determination of the exterior orientation by a combination of an inertial measurement system (IMU) with relative kinematic GPS-positioning – the direct georeferencing - has a growing number of applications for standard photogrammetric projects. One mayor problem is the determination of the relation between the camera and the IMU - the boresight misalignment. The rigorous mathematical model requires the computation and use of it in an orthogonal coordinate system like a tangential system in relation to the earth ellipsoid. But the final data acquisition usually shall be made directly in the national coordinate system. The procedure to use the boresight misalignment without loss of accuracy in the national coordinate system in any location will be explained. Results of the stability of the misalignment over the time will be shown. If the results of the boresight calibration shall be used for different image scales, also the inner orientation has to be determined together with the boresight misalignment. This has to be done with 2 different flying heights over a calibration site. Another problem is the limited accuracy of the model set up, today the direct sensor orientation is often not accurate enough to guarantee a model set up without a disturbing size of the y-parallaxes. This can be solved with a combined adjustment of the direct sensor orientation together with image coordinates of tie points, but without control points.
Harvesting strategies for conserving minimum viable populations based on World Conservation Union criteria: brown bears in Norway

The World Conservation Union (IUCN) defines populations as vulnerable if the probability of extinction is larger than 10/% within the next 100 years. With the objective of minimizing problems with predation on domestic livestock and, at the same time, conserving a viable population, we consider different threshold harvesting strategies for a small population of brown bear, based on a population dynamics model with growth rate and demographic and environmental variances estimated from the present Swedish population. Taking into account uncertainties in present estimates of the demographic parameters and in population size, we show that the population can be harvested when the population size exceeds 34 female bears,aged one year and older, if the entire population exceeding the threshold is harvested. To minimize the expected long–term population size, however, we show that it is optimal to harvest only a proportion equal to 35% of the population exceeding a lower threshold of 12 female bears. This strategy gives an expected long–term population size of around 20 female bears. If the growth rate of the population is reduced by ca. 3%, the threshold must, under some conditions, be doubled. We argue that the small thresholds are mainly a result of the high intrinsic growth rate of the population considered in the present paper. However, the analysis also suggests that IUCN's criterion might allow a rate of extinction that is too high.