Miracle-dz/UniFAR-FTUs huggingface dataset:
Validity and reliability of the session-RPE method for quantifying training load in karate athletes.

AIM To test the construct validity and reliability of the session rating of perceived exertion (sRPE) method by examining the relationship between RPE and physiological parameters (heart rate: HR and blood lactate concentration: [La --] ) and the correlations between sRPE and two HR--based methods for quantifying internal training load (Banister's method and Edwards's method) during karate training camp. METHODS Eighteen elite karate athletes: ten men (age: 24.2 ± 2.3 y, body mass: 71.2 ± 9.0 kg, body fat: 8.2 ± 1.3% and height: 178 ± 7 cm) and eight women (age: 22.6 ± 1.2 y, body mass: 59.8 ± 8.4 kg, body fat: 20.2 ± 4.4%, height: 169 ± 4 cm) were included in the study. During training camp, subjects participated in eight karate--training sessions including three training modes (4 tactical--technical, 2 technical--development, and 2 randori training), during which RPE, HR, and [La -- ] were recorded. RESULTS Significant correlations were found between RPE and physiological parameters (percentage of maximal HR: r = 0.75, 95% CI = 0.64--0.86; [La --] : r = 0.62, 95% CI = 0.49--0.75; P < 0.001). Moreover, individual sRPE was significantly correlated with two HR--based methods for quantifying internal training load ( r = 0.65--0.95; P < 0.001). The sRPE method showed the high reliability of the same intensity across training sessions (Cronbach's α = 0.81, 95% CI = 0.61--0.92). CONCLUSION This study demonstrates that the sRPE method is valid for quantifying internal training load and intensity in karate.
Watermarking for self-authentication of compressed video

This paper reports on watermarking of MPEG video for authentication and tamper detection. The algorithm operates entirely on the compressed bitstream and maintains MPEG-2 syntax throughout. In the proposed algorithm, I-frames watermark the entire length of the following GOP. The algorithm first computes the payload capacity of each GOP by identifying the population of eligible VLCs capable of carrying the watermarks. The candidate I-frame is then compressed to this target bit rate and the bits are reordered based on a GOP-unique key. The scrambled bits then sequentially watermark the GOP. Detection follows an inverse process. Watermarked video is resistant to tampering at the GOP level by observing the key sequencing needed for watermark extraction. Missing GOPs cause jumps in the required keys which can then be connected to the number of affected GOPs. Corruption or frame-level tampering inside a GOP can also be spotted using a similar approach.
Classifiers ’ Accuracy Prediction based on Data Characterization

In machine learning, picking the best classifier for a given problem is a challenging task. A recent research field called meta-learning automates this procedure by using a metaclassifier in order to predict the best classifier for a given dataset. Using regression techniques, even a ranking of preferred learning algorithms can be determined. However, all methods are based on a prior extraction of meta-features from datasets. Landmarking is a recent method of computing meta-features, which uses the accuracies of some simple classifiers as characteristics of a dataset. Considered as the first meta-learning step in RapidMiner, a new operator called landmarking has been developed. Evaluations based on 90 datasets, mainly from the UCI repository, show that the landmarking features from the proposed operator are useful for predicting classifiers’ accuracies based on regression. In this work a collaborative user interface, which is integrated with a tool called Classifier Recommender, is introduced. It mainly facilitates the use of machine-learning methods or algorithms over the web and provides users with the functionality of sharing data and experiments.
CEO Compensation and US High-tech and Low-tech Firms' Corporate Performance

Many factors contribute to the determination of top executive compensation. This paper explores and examines the systematic difference of high-tech and low-tech CEO pays. It examines the relationship between top executive compensation and an Organizational factor, a Market factor and an Accounting factor. It tests CEO’s salary, bonus, and long-term compensation with respect to corporate reputation, ROE, Tobin’s Q, CEO shareholding and firm size. The results show that CEOs’ Salaries at high-tech firms shows a significantly positive relationship with ROE, Tobin’s Q, and corporate reputation, while only corporate reputation shows a significant relationship with CEOs’ salaries at low-tech firms. In addition, both the high-tech and low-tech firm executives’ total compensation are significantly and positively related to Tobin’s Q, and corporate reputation. Similar results are reported with Long-term compensation. In general, high-tech firms tend to use more sophisticated performance measures for the determination of CEO compensation, while low-tech firms seem to use a simple performance measure such as corporate reputation.
Event‐driven asynchronous method calls with the D‐Bus message system

The use of inter‐process communication can yield many benefits for event‐driven desktop software. However, inter‐process communication (IPC) research has traditionally been focused on calculation‐oriented distributed computing. This article shows that existing IPC solutions are a poor fit for the constraints imposed by event‐driven programming. Our novel solution is built on top of the D‐Bus system, which enjoys increased practical usage, but is still scantily researched. We focus on efficient handling of asynchronous D‐Bus method calls, in a fashion similar to how Hypertext Transfer Protocol requests are treated in Asynchronous JavaScript and XML Web applications. This is supplemented with two design patterns that simplify processing of results for many kinds of asynchronous operations in event‐driven software, besides just D‐Bus calls. Our approach is shown to be more appropriate for event‐driven applications than traditional remote procedure call systems in aspects as diverse as interactivity, threading complexity and electrical power usage. Copyright © 2013 John Wiley & Sons, Ltd.
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In this study we examined associations between pet ownership and presence and indicators of psychological wellbeing in older Australians, using an innovative, experience sampling methodology and a community-living sample of 68 adults, including 41 pet owners, all aged over 65 years. In response to randomized prompts the participants provided information about their location, social companions, activities, and mood state six times daily for seven consecutive days. They also completed a number of surveys measuring various aspects of wellbeing. There were no significant differences in our outcome measures between pet owners and those who did not own at least one pet, and few of our pet owners reported engaging in pet-focused human– animal activities, such as walking their dog or playing with their cat. However, frequency of pet presence during activities of daily living was associated with, and statistically predictive of, several measures of wellbeing and mood. From our results we tentatively conclude that more frequent presence of a pet, particularly a dog, may be associated with greater psychological wellbeing in this cohort. More importantly, we confirm that the intensive experience sampling methodology provides a novel means of examining human–pet interactions, enabling a closer analysis of moment-by-moment pet presence than has been possible using alternative approaches.
Semantic Frames to Predict Stock Price Movement

Semantic frames are a rich linguistic resource. There has been much work on semantic frame parsers, but less that applies them to general NLP problems. We address a task to predict change in stock price from financial news. Semantic frames help to generalize from specific sentences to scenarios, and to detect the (positive or negative) roles of specific companies. We introduce a novel tree representation, and use it to train predictive models with tree kernels using support vector machines. Our experiments test multiple text representations on two binary classification tasks, change of price and polarity. Experiments show that features derived from semantic frame parsing have significantly better performance across years on the polarity task.
The Recalibration of No-Arbitrage Models : Risk Management Implications of Time-Inconsistency

A widespread approach in the implementation of asset pricing models is based on the periodic recalibration of its parameters and initial conditions to eliminate any conflict between model-implied and market prices. Modern no-arbitrage market models facilitate this procedure since their solution can usually be written in terms of the entire initial yield curve. As a result, the model fits (by construction) the interest rate term structure. This procedure is, however, generally time inconsistent since the model at time t = 0 completely specify the set of possible term structures for any t > 0. In this paper we analyze the good and the evil of this widespread approach in pricing and hedging, both theoretically and empirically. The theoretical section of the paper shows (a) under which conditions recalibration improves the hedging errors by limiting the propagation of an initial error, (b) that recalibration introduces time-inconsistent errors that violate the self-financing argument of the standard replication strategy. The empirical section of the paper quantifies the trade-off between (a) and (b) under several scenarios. First, we compare this trade-off for two economies with and without model specification error. Then, we discuss the trade-off when the underlying economy is not Markovian. JEL classification: D9, E3, E4, G12.
Particles in fluids

Abstract.For finite Reynolds numbers the interaction of moving fluids with particles is still only understood phenomenologically. We will present three different numerical studies all using the solver “Fluent” which elucidate this issue from different points of view. On one hand we will consider the case of fixed particles, i.e. a porous medium and present the distribution of channel openings and fluxes. These distributions show a scaling law in the density of particles and for the fluxes follow an unexpected stretched exponential behaviour. The next issue will be filtering, i.e. the release of massive tracer particles within this fluid. Interestingly a critical Stokes number below which no particles are captured and which is characterized by a critical exponent of 1/2. Finally we will also show data on saltation, i.e. the motion of particles on a surface which dragged by the fluid performs jumps. This is the classical aeolian transport mechanism responsible for dune formation. The empirical relations between flux and wind velocity are reproduced.
TOPOSES AND HOMOTOPY TOPOSES

This document was created while I gave a series of lectures on “higher topos theory” in Fall 2005. At that time the basic references were the papers of Toen-Vezzosi [TV05] and a document of Lurie [Lura]; Lurie’s book on higher topos theory was not yet available. The lectures were my attempt to synthesize what was known at the time (or at least, what was known to me). I’ve revised them in small ways since they were written. (For instance, I replaced the original term “patching” with the word “descent”, as suggested by Lurie.) There are still some gaps in the exposition here.
MEET-IP: Memory and Energy Efficient TCAM-Based IP Lookup

Ternary Content Addressable Memory (TCAM) is becoming very popular for designing high-throughput forwarding engines on most of today's high-end routers. Despite its capability for line-speed queries, it is very power hungry and capacity inefficient. Many recent research efforts, such as CoolCAMs and SmartPC, were proposed to reduce power consumption by constructing a pre-classifier to activate TCAM blocks selectively. However, these efforts achieve power savings at the expense of poor utilization of TCAM capacity, and the potential of power reduction is not fully exploited in many cases. In this paper, we propose MEET-IP, a memory and energy efficient two-stage scheme for TCAM based IP routing table lookup. Based on a top-down optimization of partitioning algorithm, routing tables can be evenly split into TCAM blocks without memory holes or a large amount of index TCAM. Experimental results based on real routing tables show that our design achieves more than 98% power reduction with a TCAM storage overhead of less than 3% on average.
NBCn1 (slc4a7) Mediates the Na+-Dependent Bicarbonate Transport Important for Regulation of Intracellular pH in Mouse Vascular Smooth Muscle Cells

The contribution of sodium-dependent bicarbonate transport to intracellular pH (pHi) regulation in vascular smooth muscle cells is controversial, partly because the molecular identity of the transporter(s) responsible has not been identified. Here, using the pH-sensitive fluorophore 2′,7′-bis-(2-carboxyethyl)-5-(and-6)-carboxyfluorescein (BCECF), we show that smooth muscle cells of intact mouse mesenteric, coronary, and cerebral small arteries all display a sodium- and bicarbonate-dependent pHi recovery after an NH4+-prepulse. The sodium-dependent bicarbonate flux was largely 4,4′-diisothiocyanatostilbene-2,2′-disulphonic acid (DIDS) sensitive (56% to 91%) and of a magnitude similar to the amiloride-sensitive flux. Additionally, steady-state pHi was lower (0.2 to 0.4 pH units magnitude) in all 3 vascular beds when CO2/bicarbonate was omitted. RT-PCR analyses showed that NBCn1 (slc4a7) is the only Na+-dependent bicarbonate transporter of the slc4 family detectable at the mRNA level in all 3 vascular beds investigated. Whole-mount immunolabeling and immunogold electron microscopy confirmed the presence of NBCn1 protein in the sarcolemma of mouse mesenteric small arterial smooth muscle cells. Intact mouse mesenteric small arteries were electropermeated to facilitate transfection with small interfering RNA targeting NBCn1, which resulted in an approximate 43% decrease in the ratio of NBCn1 to glyceraldehyde-3-phosphate dehydrogenase mRNA. After knock-down, we found a decreased steady-state pHi (0.21±0.08 pH units) as well as a 68±10% decrease in the net Na+-dependent, amiloride-insensitive base influx after acid load. Finally, omission of CO2/bicarbonate resulted in a decreased contractile response to norepinephrine after sustained exposure to the agonist, underlining the importance of CO2/bicarbonate for vascular contractility. We conclude that NBCn1 mediates the Na+-dependent bicarbonate transport important for pHi regulation in smooth muscle cells of mouse mesenteric, coronary, and cerebral small arteries.
Learning to play, playing to learn

Purpose – The purpose of this paper is to propose an experiential learning framework for understanding how play can potentially create a unique ludic learning space conducive to deep learning.Design/methodology/approach – The framework is developed by integrating two perspectives. First, from multidisciplinary theories of play to uncover the underlying play principles that contribute to the emergence of the ludic learning space are drawn. Then the formation of a ludic learning space through a case study of a pick‐up softball league where for 15 years, a group of individuals diverse in age group, gender, level of education, and ethnic background have come together to play are examined.Findings – The case study suggests that play in a ludic learning space can promote deep learning in the intellectual, physical, spiritual, and moral realms.Originality/value – This paper uses the play literature to inform the experiential learning concept of the learning space.
Population genetic structure in a Robertsonian race of house mice: evidence from microsatellite polymorphism

Genetic evidence was assessed for inbreeding and population subdivision in a Robertsonian fusion (Rb) race of the western European form of house mouse, Mus musculus domesticus, in central Belgium. Inbreeding, and the factors responsible for subdivision (genetic drift and extinction–recolonization) can theoretically influence the fixation of underdominant Rb variants. The data consisted of allele frequencies of eight microsatellite loci and of the Rb(4.12) and Rb(5.10) chromosomes. Six populations were sampled once, and a seventh was sampled successively over 3 years. No evidence for inbreeding within populations was found. Levels of between-population subdivision were high (θ=0.15−0.39), and showed no association with either karyotype or geographical distance over 8–60 km. In addition, low values of effective size were found in the successively sampled population (Ne=5–20). Cases of significant two-locus disequilibria were associated with the most closely linked pair of microsatellite loci (r=0.15): also consistent with small effective sizes. These results suggest that both the lack of inbreeding, and the combined effects of genetic drift and extinction–recolonization, may promote Rb polymorphism in M. m. domesticus.
RESPIRATORY TRACT EFFECTS OF REPEATED EXPOSURES TO ISOPRENE / OZONE REACTION PRODUCTS IN MICE

Upper airway irritation and airflow limitation have been reported in mice during single exposures to the oxidation products (OPs) of isoprene, a hemiterpene emitted by humans and vegetation. This study evaluated the respiratory effects of repeated exposures to isoprene OPs. Male mice of 6 strains were exposed to a reaction mixture comprised of 3227 ± 157 ppm isoprene and 1080 ± 155 ppm ozone 3 hours/day for 4 consecutive days, and respiratory parameters were monitored via head-out plethysmography. Endpoints evaluated were sensory irritation, pulmonary irritation, airflow limitation, and airway responsiveness. Marked enhancement of the sensory irritation and airflow limitation effects was observed with repeated exposures, and pulmonary irritation developed in several strains. A reduction in airway responsiveness occurred in most strains, which may reflect airway mucous hypersecretion. The cumulative effects observed with repeated OP exposures have important implications for non-industrial indoor environments in which exposure may occur over many years. INDEX TERMS Terpene oxidation products, Irritation, Airflow limitation, Repeated exposures, Airway responsiveness INTRODUCTION The reaction products of ozone and terpenes (eg. α-pinene, d-limonene, isoprene) have been shown to cause sensory irritation and airflow limitation during acute 30and 60-minute exposures (Wolkoff et al., 2000; Clausen et al., 2001; Wilkins et al., 2001; Rohr et al., 2002a). Identified stable reaction products and residual reactants could not account for the effects observed, suggesting that irritants were formed that were not identified or measured. In general, terpene oxidation products (OPs) are comprised of a number of higher molecular weight acids, aldehydes, and ketones (Grosjean et al., 1998; Caligorou et al., 1999), as well as a number of radical species, including the hydroxyl radical (Atkinson et al., 1992). Ultrafine particles (diameter <0.1 μm) are also formed through nucleation and/or condensation of low vapor pressure products; such formation has been described in a number of settings (Weschler and Shields, 1999; Long et al., 2000; Rohr et al., 2002b). In previous studies, single, acute 30or 60-minute exposures were evaluated, and only irritation and airflow limitation effects were evaluated. The work reported here focused on isoprene, a human and plant bioeffluent, as isoprene OPs induced the largest effects in other studies. We evaluated the effect of longer (3-hour) exposures to isoprene OPs on nonspecific airway hyperresponsiveness (AHR), sensory irritation, pulmonary irritation, and airflow * Contact author email: arohr@epri.com Proceedings: Indoor Air 2002
3DM: a three dimensional modeler using a head-mounted display

3dm is a three dimensional (3D) surface modeling program that draws techniques of model manipulation from both CAD and drawing programs and applies them to modeling in an intuitive way. 3dm uses a head-mounted display (HMD) to simplify the problem of 3D model manipulation and understanding. A HMD places the user in the modeling space, making three dimensional relationships more understandable. As a result, 3dm is easy to learn how to use and encourages experimentation with model shapes.
Debugging Distributed Executions by Using Language Recognition

To a large extent, the dependability of complex distributed programs relies on our ability to effectively test and debug their executions. Such an activity requires that we be able to specify dynamic properties that the distributed computation must (or must not) exhibit, and that we be able to construct algorithms to detect these properties at run time. In this paper we formulate dynamic property specification and detection as instances of the language recognition problem. Considering boolean predicates on states of the computation as an alphabet, dynamic property specification is akin to defining a language over this alphabet. Detecting a property, on the other hand, is akin to recognizing at run time if the sentence produced by a distributed execution belongs to the language. This formal language-oriented view not only unifies a large body of work on distributed debugging and property detection, it also leads to simple and efficient detection algorithms. We give examples for the case of properties that can be specified as regular grammars through finite automata.
A Distributed MAC Scheme for Emergency Message Dissemination in Vehicular Ad Hoc Networks

The successful dissemination of emergency messages in vehicular ad hoc networks can make a difference between life and death. To achieve the life-saving goals, emergency message dissemination needs timely and lossless medium access in vehicular ad hoc networks. Although there are existing medium access control (MAC) protocols that support priority medium access in the literature, these protocols focus on providing statistical priority for unicast flows instead of strict priority for individual packets. This paper proposes a new MAC scheme to address this issue. With its novel pulse-based control mechanism, the proposed MAC scheme realizes strict packet-level priority scheduling for emergency packets in a fully distributed way. With the same mechanism, the proposed scheme supports multiple levels of strict priority for emergency packets. The comprehensive simulation results in this paper show the effectiveness of the proposed MAC scheme in serving emergency messages in vehicular ad hoc networks.
Protein Phosphatase 2A Reactivates FOXO3a through a Dynamic Interplay with 14-3-3 and AKT

This article describes a functional interaction between PP2A and FOXO3a in which PP2A promotes rapid dephosphorylation of FOXO3a at its conserved AKT phosphorylation sites, leading to FOXO3a dissociation from 14-3-3, nuclear translocation, and transcriptional activation in response to inhibition of PI3K signaling.
Echo Chambers in Investment Discussion Boards

We examine the quality of information and communication in online investment discussion boards. We show that positivity bias and skewed risk/reward assessments, exacerbated by the insular nature of the community and its social structure, contribute to underperforming investment advice and unnecessary trading. Discussion post sentiment has negligible correlation with future stock market returns, but does have a positive correlation with trading volumes and volatility. Our trading simulations show that across different timeframes, this misinformation leads 50-70% of users to underperform the market average. We then examine social structure in communities, and show that the majority of market sentiment is produced by a small number of community leaders, and that many members actively resist negative sentiment, thus minimizing viewpoint diversity. To improve generated information content in online investment communities, we suggest designing to increase diversity of opinion, minimize friction around incorporating new information, and provide performance feedback for self-correction.