Miracle-dz/UniFAR-FTUs huggingface dataset:
Long-Distance Runners and Sprinters Show Different Performance Monitoring – An Event-Related Potential Study

Previous findings have reported that track and field athletes may monitor and utilize internal information, including anxiety level, suggesting that the ability to inwardly monitor one’s own functioning and utilize anxiety are required to achieve superior performance. Performance monitoring has been investigated using two event-related potential components; the error (-related) negativity (Ne/ERN) and error positivity (Pe). It is unknown whether performance monitoring differs among various types of athletes. It has also been reported that Ne/ERN amplitude is increased in individuals who are more anxious and the prevalence and effect of anxiety also differs among various types of athletes. In this study, we recorded both Ne/ERN and Pe from long-distance runners (n = 24) and sprinters (n = 24) while they were performing a spatial Stroop task under motivation and no motivation conditions. We also collected scores on the Sport Competitive Anxiety Test (SCAT). Mean error rate on incongruent trials was lower in the motivation condition than in the no motivation condition. There was neither group effect, nor condition effect found in Ne/ERN amplitude. However, for the long-distance runners, Pe amplitude was larger in the motivation condition than in the no motivation condition. We also investigated the relationships between Ne/ERNs and individual differences in performance anxiety using the SCAT. A multiple linear regression analysis in the motivation condition revealed an interaction between type of runner and SCAT scores, indicating that long-distance runners with higher SCAT scores showed larger Ne/ERN amplitudes whereas the sprinters with high SCAT scores tended to exhibit smaller Ne/ERN amplitudes. Our findings provide further evidence that performance monitoring differs across various types of athletes.
Physical activity for the prevention and management of youth-onset type 2 diabetes mellitus: focus on cardiovascular complications

With the growing prevalence of childhood obesity and type 2 diabetes mellitus (T2DM) in youth, the challenge of cardiovascular disease risk management has entered the paediatric realm, affecting specialists, family physicians and allied healthcare professionals alike. Currently, there is little evidence to support optimal strategies for management of T2DM in youth and the associated cardiovascular complications. Physical activity plays a powerful role in the prevention and management of T2DM and cardiovascular disease in adults. This review will focus on the role of physical activity for the prevention of T2DM in youth and its associated cardiovascular complications. The first part describes the prevalence of cardiovascular risk factors in this cohort. The second part focuses on the role of physical activity in the prevention and management of T2DM in youth. Collectively, the limited intervention and observation studies published to date suggest that daily targets of 60–90 minutes of physical activity and less than 60 minutes of screen time (i.e. time spent in front of a television, computer or video games) are required for the prevention and management of T2DM in youth. Large-scale intervention studies are needed to determine the most effective physical activity strategies for the prevention and management of T2DM in youth.
Temperature-driven directional coalescence of silver nanoparticles.

Silver nanoparticles were synthesized with a chemical reduction method in the presence of polyvinylpyrrolidone as stabilizing agent. The thermal stability behavior of the silver nanoparticles was studied in the temperature range from 25 to 700°C. Thermal gravimetric analysis was used to measure the weight loss of the silver nanoparticles. Scanning electron microscopy and high-resolution transmission electron microscopy were used to observe the morphology and the change in shape of the silver nanoparticles. In situ temperature-dependent small-angle X-ray scattering was used to detect the increase in particle size with temperature. In situ temperature-dependent X-ray diffraction was used to characterize the increase in nanocrystal size and the thermal expansion coefficient. The results demonstrate that sequential slow and fast Ostward ripening are the main methods of nanoparticle growth at lower temperatures (<500°C), whereas successive random and directional coalescences are the main methods of nanoparticle growth at higher temperatures (>500°C). A four-stage model can be used to describe the whole sintering process. The thermal expansion coefficient (2.8 × 10(-5) K(-1)) of silver nanoparticles is about 30% larger than that of bulk silver. To our knowledge, the temperature-driven directional coalescence of silver nanocrystals is reported for the first time. Two possible mechanisms of directional coalescence have been proposed. This study is of importance not only in terms of its fundamental academic interest but also in terms of the thermal stability of silver nanoparticles.
A California Effect for International Environmental Externalities?

An influential conventional wisdom holds that globalization could induce upward convergence in environmental regulations. Wealthy countries impose environmental regulations that prompt exporters in other countries to adopt sustainable production techniques, so the cost of environmental regulation in these countries decreases. However, previous research has only examined this California Effect for environmental regulations to address domestic externalities. I formally investigate the case of international externalities, such as global warming or ozone depletion. I find that a country can exercise leadership by enacting environmental regulations to strategically induce other countries to regulate in the future, but only if the incentive to free ride is not too strong. Surprisingly, under deep economic integration, environmental regulations are strategic complements with positive spillovers, so that international coordination is necessary to capitalize on the California Effect. In addition to showing that the California Effect is a powerful instrument of environmental statecraft, the results suggest new reasons why liberal trade and investment policies might improve environmental protection. They can also inform a strategy to promote efforts to mitigate global warming.
Corporate social responsibility and HRM in China: a study of textile and apparel enterprises

Issues related to corporate social responsibility (CSR) have been the subject of growing debate across an increasingly wide range of disciplines in social sciences and business and management studies. China has been facing mounting pressure to take CSR issues seriously especially vis a vis environmental issues and labour standards. However, issues related to CSR and human resource management (HRM) in China remain under-explored. This study investigates how managers of textile and apparel firms perceive CSR issues, what actions they are taking and what implications these may have for institutional bodies that seek to promote CSR in the country. The study concludes that firms tend to adopt a business case approach to CSR, focusing on the market rather than their employees.
Parametric Shape Optimization of Lens-Focused Piezoelectric Ultrasound Transducers

Focused transducers composed of flat piezoelectric ceramic coupled with an acoustic lens present an economical alternative to curved piezoelectric ceramics and are already in use in a variety of fields. Using a displacement/pressure (u/p) mixed finite element formulation combined with parametric level-set functions to implicitly define the boundaries between the materials and the fluid–structure interface, a method to optimize the shape of acoustic lens made of either one or multiple materials is presented. From that method, two 400 kHz focused transducers using acoustic lens were designed and built with different rapid prototyping methods, one of them made with a combination of two materials, and experimental measurements of the pressure field around the focal point are in good agreement with the presented model.
Abrupt changes in deep Atlantic circulation during the transition to full glacial conditions

[1] Six Ocean Drilling Program (ODP) sites, in the Northwest Atlantic have been used to investigate kinematic and chemical changes in the “Western Boundary Undercurrent” (WBUC) during the development of full glacial conditions across the Marine Isotope Stage 5a/4 boundary (~70,000 years ago). Sortable silt mean grain size SS¯ measurements are employed to examine changes in near bottom flow speeds, together with carbon isotopes measured in benthic foraminifera and % planktic foraminiferal fragmentation as proxies for changes in water-mass chemistry. A depth transect of cores, spanning 1.8–4.6 km depth, allows changes in both the strength and depth of the WBUC to be constrained across millennial scale events. SS¯ measurements reveal that the flow speed structure of the WBUC during warm intervals (“interstadials”) was comparable to modern (Holocene) conditions. However, significant differences are observed during cold intervals, with higher relative flow speeds inferred for the shallow component of the WBUC (~2 km depth) during all cold “stadial” intervals (including Heinrich Stadial 6), and a substantial weakening of the deep component (~3–4 km) during full glacial conditions. Our results therefore reveal that the onset of full glacial conditions was associated with a regime shift to a shallower mode of circulation (involving Glacial North Atlantic Intermediate Water) that was quantitatively distinct from preceding cold stadial events. Furthermore, our chemical proxy data show that the physical response of the WBUC during the last glacial inception was probably coupled to basin-wide changes in the water-mass composition of the deep Northwest Atlantic.
Zoledronate Triggers Vδ2 T Cells to Destroy and Kill Spheroids of Colon Carcinoma: Quantitative Image Analysis of Three-Dimensional Cultures

New successful anti-cancer strategies are based on the stimulation of immune reaction against tumors: however, preclinical testing of such treatments is still a challenge. To improve the screening of anti-cancer drugs, three-dimensional (3D) culture systems, including spheroids, have been validated as preclinical models. We propose the spheroid 3D system to test anti-tumor drug-induced immune responses. We show that colorectal carcinoma (CRC) spheroids, generated with the epithelial growth factor (EGF), can be co-cultured with Vδ2 T cells to evaluate the anti-tumor activity of these effector lymphocytes. By computerized image analysis, the precise and unbiased measure of perimeters and areas of tumor spheroids is achievable, beside the calculation of their volume. CRC spheroid size is related to ATP content and cell number, as parameters for cell metabolism and proliferation; in turn, crystal violet staining can check the viability of cells inside the spheroids to detect tumor killing by Vδ2 T cells. In this 3D cultures, we tested (a) zoledronate that is known to activate Vδ2 T cells and (b) the therapeutic anti-EGF receptor humanized antibody cetuximab that can elicit the antibody-dependent cytotoxicity of tumor cells by effector lymphocytes. Zoledronate triggers Vδ2 T cells to kill and degrade CRC spheroids; we detected the T-cell receptor dependency of zoledronate effect, conceivably due to the recognition of phosphoantigens produced as a drug effect on target cell metabolism. In addition, cetuximab triggered Vδ2 T lymphocytes to exert the antibody-dependent cellular cytotoxicity of CRC spheroids. Finally, the system reveals differences in the sensitivity of CRC cell lines to the action of Vδ2 T lymphocytes and in the efficiency of anti-tumor effectors from distinct donors. A limitation of this model is the absence of cells, including fibroblasts, that compose tumor microenvironment and influence drug response. Nevertheless, the system can be improved by setting mixed spheroids, made of stromal and cancer cells. We conclude that this type of spheroid 3D culture is a feasible and reliable system to evaluate and measure anti-tumor drug-induced immune responses beside direct anti-cancer drug effect.
Perceived travel risks: the traveller perspective and manageability

Although a large number of studies both in and out of the tourism literature have examined perceived risk, the risk categories utilized are often too broad and are not generated from the perspective of current and potential travellers. This deficiency in the travel research is addressed in this study by asking more than 2,000 respondents to identify their concerns when travelling. All respondent concerns were content analyzed to derive ten travel-specific risks and the relationship of the identified risks with demographic characteristics of the respondents was examined. The identification of these potential and actual traveller-driven travel-risks allows tourism officials to better understand how to respond to alleviate traveller concerns and encourage travel. Copyright © 2008 John Wiley & Sons, Ltd.
The Role of Human Capital in the Process of Economic Development: The Case of England, 1307-1900

Macroeconomic growth models underline the importance of human capital in the process of economic development. This analysis introduces a new proxy for human capital, which is educational attainment, and examines cohesion between education levels and growth for England between 1307 and 1900. The empirical evidence suggests no significant result between basic skills, such as reading and writing abilities, and growth of per capita GDP. More progressive human capital levels, as measured by average years of higher education, seem to have contributed to the process of development until the mid-eighteenth century.
Structural Change, Competitive Balance, and the Rest of the Major Leagues

"Analyzing North American major sports leagues other than baseball, we find no break points in competitive balance time series corresponding to rule changes, the draft, free agency, salary caps, or labor disputes except for the 1998 basketball lockout. Some expansion and team relocation correspond with break points. Mergers that do correspond with break points all enhance competitive balance. But not all expansions, moves, and mergers correspond with break points. Remaining explanatory challenges include a general negative trend in competitive balance in basketball and the occurrence of a break point in football, 1976-1977. " ("JEL" C32, L83) Copyright 2007 Western Economic Association International.
Age-Related Decrease in Stress Responsiveness and Proactive Coping in Male Mice

Coping is a strategic approach to dealing with stressful situations. Those who use proactive coping strategies tend to accept changes and act before changes are expected. In contrast, those who use reactive coping are less flexible and more likely to act in response to changes. However, little research has assessed how coping style changes with age. This study investigated age-related changes in coping strategies and stress responsiveness and the influence of age on the processing of conditioned fear memory in 2-, 12- and 23-month-old male mice. Coping strategy was measured by comparing the escape latency in an active avoidance test and by comparing responses to a shock prod. The results showed that proactivity in coping response gradually decreased with age. Stress responsiveness, measured by stress-induced concentration of corticosterone, was also highest in 2-month-old mice and decreased with age. Consolidation of fear memory was highest in 12-month-old mice and was negatively correlated with the degree of stress responsiveness and proactivity in coping. Fear extinction did not differ among age groups and was not correlated with stress responsiveness or the proactivity of coping. However, the maintenance of extinct fear memory, which was best in 2-month-old mice and worst in 12-month-old mice, was negatively correlated with stress responsiveness but not with coping style. Age-dependent changes in the expression of glucocorticoid receptor (GR) and its regulatory co-chaperones, which are accepted mechanisms for stress hormone stimulation, were measured in the hippocampus. The expression of GR was increased at 12 months compared to other age groups. There were no differences in Hsp70 and BAG1 expression by age. These results can be summarized as follows: (1) stress responsiveness and proactivity in coping decreased with age class; (2) consolidation of fear memory was negatively correlated with both stress responsiveness and proactivity; however, maintenance of extinct fear memory was negatively correlated with stress responsiveness only; and (3) consolidation and maintenance of extinct fear memory appeared to be more influenced by factors other than stress reactivity and proactivity in coping, such as the amount of hippocampal glucocorticoid expression.
Geometry Distance Estimated MAC Protocol for TV White Space

Regulatory bodies worldwide have quite recently approved the dynamic access of unlicensed networks to the TV white space (TVWS) spectrum. In TVWS, secondary users (SUs) are required to access a database periodically to acquire information on the spectrum usage of primary users (PUs). The spectrum database querying of SUs will solve the spectrum scarcity problem. A key technology in efficiently using the TVWS spectrum is designing an efficient medium access control (MAC) protocol. In this paper, we propose a geometry distance estimated medium access control (GMAC) protocol to mitigate the hidden and exposed terminal problems in TVWS. GMAC provides an efficient means of channel database querying to obtain the list of available channels to overcome interference with PUs. We develop a Markov chain model to characterize the saturation normalized throughput of our proposed GMAC protocol for the TVWS. In this study, transmitter power control is based on the geometrically estimated distance between SU communication pairs; this increases channel spatial reuse and throughput, and reduces PU outage probability. We also compare our proposed scheme with existing MAC protocols for TVWS. We show that the GMAC will improve the channel spatial reuse and normalized throughput, and reduce PU outage probability.
The Dampening-of-Competition Effect of Exclusive Dealing

Using the dampening-of-competition approach to understanding vertical relationships, this paper shows that, in the absence of intrabrand retailer competition, firms earn greater profits using exclusive dealing. The paper explains the frequent simultaneous appearance of exclusive dealing and exclusive territoriality. The results are used to analyze the famous 1949 Standard Stations case. The author concludes that the 1949 Court did the right thing for a wrong reason. Copyright 1990 by Blackwell Publishing Ltd.
Geometric Integration of Hybrid Correspondences for RGB-D Unidirectional Tracking

Traditionally, visual-based RGB-D SLAM systems only use correspondences with valid depth values for camera tracking, thus ignoring the regions without 3D information. Due to the strict limitation on measurement distance and view angle, such systems adopt only short-range constraints which may introduce larger drift errors during long-distance unidirectional tracking. In this paper, we propose a novel geometric integration method that makes use of both 2D and 3D correspondences for RGB-D tracking. Our method handles the problem by exploring visual features both when depth information is available and when it is unknown. The system comprises two parts: coarse pose tracking with 3D correspondences, and geometric integration with hybrid correspondences. First, the coarse pose tracking generates the initial camera pose using 3D correspondences with frame-by-frame registration. The initial camera poses are then used as inputs for the geometric integration model, along with 3D correspondences, 2D-3D correspondences and 2D correspondences identified from frame pairs. The initial 3D location of the correspondence is determined in two ways, from depth image and by using the initial poses to triangulate. The model improves the camera poses and decreases drift error during long-distance RGB-D tracking iteratively. Experiments were conducted using data sequences collected by commercial Structure Sensors. The results verify that the geometric integration of hybrid correspondences effectively decreases the drift error and improves mapping accuracy. Furthermore, the model enables a comparative and synergistic use of datasets, including both 2D and 3D features.
Mirror-time diffusion discount model of options pricing

The proposed model modifies option pricing formulas for the basic case of log-normal probability distribution providing correspondence to formulated criteria of efficiency and completeness. The model is self-calibrating by historic volatility data; it maintains the constant expected value at maturity of the hedged instantaneously self-financing portfolio. The payoff variance dependent on random stock price at maturity obtained under an equivalent martingale measure is taken as a condition for introduced "mirror-time" derivative diffusion discount process. Introduced ksi-return distribution, correspondent to the found general solution of backward drift-diffusion equation and normalized by theoretical diffusion coefficient, does not contain so-called "long tails" and unbiased for considered 2004-2007 S&P 100 index data. The model theoretically yields skews correspondent to practical term structure for interest rate derivatives. The method allows increasing the number of asset price probability distribution parameters.
Semi-Supervised Deep Learning Classification for Hyperspectral Image Based on Dual-Strategy Sample Selection

This paper studies the classification problem of hyperspectral image (HSI). Inspired by the great success of deep neural networks in Artificial Intelligence (AI), researchers have proposed different deep learning based algorithms to improve the performance of hyperspectral classification. However, deep learning based algorithms always require a large-scale annotated dataset to provide sufficient training. To address this problem, we propose a semi-supervised deep learning framework based on the residual networks (ResNets), which use very limited labeled data supplemented by abundant unlabeled data. The core of our framework is a novel dual-strategy sample selection co-training algorithm, which can successfully guide ResNets to learn from the unlabeled data by making full use of the complementary cues of the spectral and spatial features in HSI classification. Experiments on the benchmark HSI dataset and real HSI dataset demonstrate that, with a small number of training data, our approach achieves competitive performance with maximum improvement of 41% (compare with traditional convolutional neural network (CNN) with 5 initial training samples per class on Indian Pines dataset) for HSI classification as compared with the results from those state-of-the-art supervised and semi-supervised methods.
Environment disclosure in Malaysia annual reports: A legitimacy theory perspective

This study attempts to apply legitimacy theory to determine if it explains the extent and nature of environmental disclosures made, and the reasons for the disclosure in the context of Malaysian industrial products and construction companies. The study adopts a dual methodology of content analyses of annual reports and a questionnaire survey. Findings show some limited support for legitimacy theory in explaining the nature of disclosure, as well as the reasons for the disclosure. Extent of environmental disclosures is, however, very low. Further research is suggested in other industry sectors to examine if the results are consistent across industry sectors.