Miracle-dz/UniFAR-FTUs huggingface dataset:
Yoga & Cancer Interventions: A Review of the Clinical Significance of Patient Reported Outcomes for Cancer Survivors

Limited research suggests yoga may be a viable gentle physical activity option with a variety of health-related quality of life, psychosocial and symptom management benefits. The purpose of this review was to determine the clinical significance of patient-reported outcomes from yoga interventions conducted with cancer survivors. A total of 25 published yoga intervention studies for cancer survivors from 2004–2011 had patient-reported outcomes, including quality of life, psychosocial or symptom measures. Thirteen of these studies met the necessary criteria to assess clinical significance. Clinical significance for each of the outcomes of interest was examined based on 1 standard error of the measurement, 0.5 standard deviation, and relative comparative effect sizes and their respective confidence intervals. This review describes in detail these patient-reported outcomes, how they were obtained, their relative clinical significance and implications for both clinical and research settings. Overall, clinically significant changes in patient-reported outcomes suggest that yoga interventions hold promise for improving cancer survivors' well-being. This research overview provides new directions for examining how clinical significance can provide a unique context for describing changes in patient-reported outcomes from yoga interventions. Researchers are encouraged to employ indices of clinical significance in the interpretation and discussion of results from yoga studies.
Muscle MCT4 Content Is Correlated with the Lactate Removal Ability during Recovery Following All-Out Supramaximal Exercise in Highly-Trained Rowers

The purpose of this study was to test if the lactate exchange (γ1) and removal (γ2) abilities during recovery following short all-out supramaximal exercise correlate with the muscle content of MCT1 and MCT4, the two isoforms of the monocarboxylate transporters family involved in lactate and H+ co-transport in skeletal muscle. Eighteen lightweight rowers completed a 3-min all-out exercise on rowing ergometer. Blood lactate samples were collected during the subsequent passive recovery to assess an individual blood lactate curve (IBLC). IBLC were fitted to the bi-exponential time function: La(t) = [La](0) + A1(1 − e-γ1t) + A2(1 − e-γ2t) where [La](0) is the blood lactate concentration at exercise completion and the velocity constants γ1 and γ2 denote the lactate exchange and removal abilities, respectively. An application of the bi-compartmental model of lactate distribution space allowed estimation of the lactate removal rate at exercise completion [LRR(0)]. Biopsy of the right vastus lateralis was taken at rest to measure muscle MCT1 and MCT4 content. Fiber type distribution, activity of key enzymes and capillary density (CD) were also assessed. γ1 was correlated with [La](0) (r = −0.54, P < 0.05) but not with MCT1, MCT4 or CD. γ2 and LRR(0) were correlated with MCT4 (r = 0.63, P < 0.01 and r = 0.73, P < 0.001, respectively) but not with MCT1 or cytochrome c oxidase activity. These findings suggest that the lactate exchange ability is highly dependent on the milieu so that the importance of the muscle MCT1 and MCT4 content in γ1 was hidden in the present study. Our results also suggest that during recovery following all-out supramaximal exercise in well-trained rowers, MCT4 might play a significant role in the distribution and delivery of lactate for its subsequent removal.
A novel control method of a VSC without AC line voltage sensors

The original algorithm to estimate position of line voltage essential for operation of regenerative three-phase PWM controlled VSC is presented. The PI current regulator in D axis of VSC current control is modified to obtain angle error signal. The angle error signal drives the observer (similar in structure to PLL) which provides position or angle of line voltages. To achieve fast and reliable lock with utility system with minimal duration of transients, initial line voltage position is estimated first. The initial line voltage position estimation is done by measuring amount of current change when zero state voltage vectors were applied at the output of the inverter for defined time intervals. After that continuous position estimation by an observer is enabled. To estimate magnitude of line voltage another observer in the q axis is used. The observer is implemented in a synchronous frame of reference and is driven by the q axis current error. Theoretical results are experimentally verified.
Cell cycle versus density dependence of smooth muscle alpha actin expression in cultured rat aortic smooth muscle cells

Cultured smooth muscle cells (SMC) undergo induction of smooth muscle (SM) alpha actin at confluency. Since confluent cells exhibit contact inhibition of growth, this finding suggests that induction of SM alpha actin may be associated with cell cycle withdrawal. This issue was further examined in the present study using fluorescence-activated cell sorting of SMC undergoing induction at confluency and by examination of the effects of FBS and platelet-derived growth factor (PDGF) on SM alpha actin expression in postconfluent SMC cultures that had already undergone induction. Cell sorting was based on DNA content or differential incorporation of bromodeoxyuridine (Budr). The fractional synthesis of SM alpha actin in confluent cells was increased two- to threefold compared with subconfluent log phase cells, but no differences were observed between confluent cycling (Budr+) and noncycling (Budr-) cells. In cultures not exposed to Budr, confluent cycling S + G2 cells exhibited similar induction. These data indicate that cell cycle withdrawal is not a prerequisite for the induction of SM alpha actin synthesis in SMC at confluency. Growth stimulation of postconfluent cultures with either FBS or PDGF resulted in marked repression of SM alpha actin synthesis but the level of repression was not directly related to entry into S phase in that PDGF was a more potent repressor of SM alpha actin synthesis than was FBS despite a lesser mitogenic effect. This differential effect of FBS versus PDGF did not appear to be due to transforming growth factor-beta present in FBS since addition of transforming growth factor-beta had no effect on PDGF-induced repression. Likewise, FBS (0.1-10.0%) failed to inhibit PDGF-induced repression. Taken together these data demonstrate that factors other than replicative frequency govern differentiation of cultured SMC and suggest that an important function of potent growth factors such as PDGF may be the repression of muscle-specific characteristics.
A study of self-regulated learning in high school students’ english learning with system support

The paper studies the self-regulated learning (SRL)of high school students who utilize a scaffolding-based SRL system in English study. The goal of designing the SRL system is to help learners develop self-regulated skills and a set of constructive behavior that affects onepsilas learning. The SRL system provides instructors a Content Accessibility Subsystem to facilitate their teaching and offers students many subsystems for a conducive mobile learning environment. Moreover, the system easily establishes the learnerspsila SRL patterns. In the experiment results, most of students deem that the system can help them possess the SRL attributes, especially for the SRL attribute of Self-aware of performance outcomes.
Knowledge-based grasping of unknown objects in unstructured urban environments

Robot-assisted urban search and rescue is an emerging topic in the field of robotics and it calls for new approaches of control. The focus of this work is the application of fuzzy logic in the grasping of objects with unknown characteristics such as rigidity and surface texture. In the task of disaster response, a rescue robot will encounter both living and non-living objects in the field. Then, the ability to grasp delicate and complex target objects such as a human with the appropriate grasping force is a necessary capability. The fuzzy logic controller that is presented in this paper allows a two-finger gripper equipped with piezoelectric slip sensors to grasp an unknown object without knowing the size, weight or surface texture of the object. The fuzzy inference mechanism establishes a decision-making ability similar to the grasping behavior of humans. The present work is part of an overall effort in developing a team of intelligent heterogeneous mobile rescue robots at the Industrial Automation Laboratory of the University of British Columbia. The goal is to have robots with various capabilities perform cooperative tasks that can provide assistance in extracting humans from life-threatening situations. Such tasks may include using multiple robots to search for humans in distress, cooperatively grasping and manipulating objects to assist humans, and constructing simple devices with multiple robots in order to transport a human to safety.
Individual Differences in Grammatical Error Processing

Years of research using electrophysiology to study language processes have yielded important discoveries about language-specific event-related potentials. However, most of these studies examined grand averages and population differences and avoided looking at individual differences. More recently, a few studies have shown that variability exists between individuals in their ERP responses to grammatical errors and that this variability may be related to cognitive and linguistic abilities. The goal of this study was to replicate the variability found previously and to investigate its relationship with measures of memory and cognitive abilities. We tested Ullman’s Procedural-Declarative model of language (Ullman 2001, 2004, 2005) by examining the relationship between procedural memory ability and the ERP response. We also investigated the possibility of gender differences in processing grammatical errors. Adult native English speakers read English sentences while event-related potentials (ERPs) were recorded. The relative magnitudes of the N400 and P600 to grammatical errors were compared to calculate a response dominance index (RDI) for each subject. We examined the correlation of the RDI with measures of declarative memory, procedural memory, verbal working memory, and processing speed. We also investigated differences in the RDI between men and women and between those with a first-degree left handed relative (familial sinistrality, or FS+) and those without (FS-). We replicated the finding that individuals vary on their dominant response (P600 vs N400) to grammatical errors. We found no relationship between RDI and any of the predictor variables, but did find a difference between men and women in the size of the N400 effect to syntactic errors. This does not lend evidence to the Declarative-Procedural model of language, which may relate to its strong dependence on data from individuals with language disorder. We suggest that the gender difference indicates that men are more variable in their processing of grammatical anomalies and relate this back to the variation seen across studies of the P600 effect. These results also provide strong support for the feasibility of examining individual differences using ERP data, even in populations previously thought to be homogenous.
Quantization of canonical cones of algebraic curves

Nous construisons des quantifications de l'algebre de Poisson des fonctions sur le cone canonique d'une courbe algebrique C, qui s'appuie sur la theorie des operateurs pseudodifferentiels formels. Quand C est une courbe complexe munie d'une uniformisation de Poincare, nous proposons une construction equivalente, basee sur le travail de Cohen-Naanin-Zagier sur les crochets de Rankin-Cohen. Quand C est une courbe rationnelle, nous donnons une presentation de l'algebre quantique, et nous discutons le probleme de la construction algebrique de « relevements differentiels ».
A Study on Implementations of Feature Interaction in Software Product Lines

A software product line is a family of similar software products built from common software artifacts. One approach to develop a product line is to decompose software into features and customize the resulting product by selecting a subset of those features. Feature-oriented programming is a paradigm that offers mechanisms for modularizing features. It allows implementing code related to a feature separately into a feature module. The key technique for the separation is destructive class extensions, which can extend the definition of existing classes from the outside of those classes. Developers generate products by combining feature modules. Aspect-oriented programming also supports destructive class extensions, and hence it is usable for implementing feature modules. However, naive combination of feature modules may cause problematic behavior if the features interact with each other. Feature interaction is essential behavior between a specific combination of features. Programmers must implement interaction so that such combinations of feature modules work correctly. A modular approach is to implement interaction separately in derivatives, but the number of the derivatives is too large to maintain. Interaction in aspect-oriented programming is conflict of aspects, which happens when multiple advices extend the same method. Programmers need to specify how conflicting advices are executed. An incomplete approach for advice composition used in the existing languages is to specify precedence order to conflicting aspect to linearize them. This is because some combinations of aspects do not have acceptable order. To address these problems, this dissertation proposes two language extensions with mechanisms for implementing feature interaction: FeatureGluonJ and Airia. FeatureGluonJ introduces a new module system for features supporting inheritance. Inheritance of feature module enables to implement a generic derivative reusable for multiple combinations of features, which re-
Subject tailored gait pattern planning for robotic gait rehabilitation

Robotic is gaining its popularity in gait rehabilitation. Gait pattern planning is an important as to ensure that the gait pattern provided by the robot onto the patient is natural. It is known that cadence, stride length, and walking speed are the key factors of gait pattern. Moreover, a systematical methodology for gait pattern planning in terms of these factors is necessary. The present work proposes a methodology to generate waveforms of lower limb joint angles during walking, given a set of cadence and stride length. The walking motion has been captured with a motion capture system by using passive markers. The waveforms are then decomposed into Fourier coefficients. The decomposition reduces the amount of data for analysis by representing the entire waveform with eleven Fourier coefficients. A function for Fourier coefficients in terms of cadence and stride length are established with a multiple linear regression. The final constructed waveforms with the Fourier coefficients computed with the function are presented together with the original experimental waveforms. The final waveforms closely match the experimental waveforms.
JAIR at Five

The "Journal of Artificial Intelligence Research (JAIR) was one of the first scientific journals distributed over the web. It has now completed over five years of successful publication. Electronic publishing is reshaping the way academic work is disseminated, and JAIR is leading the way toward a future where scientific articles are freely and easily accessible to all. This report describes how the journal has evolved, its "grassroots" philosophy, and prospects for the future.
Classical capacity of a noiseless quantum channel assisted by noisy entanglement

We derive the general formula for the capacity of a noiseless quantum channel assisted by an arbitrary amount of noisy entanglement. In this capacity formula, the ratio of the quantum mutual information and the von Neumann entropy of the sender's share of the noisy entanglement plays the role of mutual information in the completely classical case. A consequence of our results is that bound entangled states cannot increase the capacity of a noiseless quantum channel.
A multi-scale vehicle tracking algorithm based on Structured Output SVM

A practical vehicle tracking system is required to update the appearance change of moving vehicles in real-time. The system with fixed-size tracking window can't trace an object effectively when the scale of the object has distinct changes. Therefore, it is important to select the scale of tracking window automatically. This paper proposes an automatic updating method of tracking window and integrate it into the Struck: Structured Output Tracking with Kernels tracking algorithm based on Haar-like features. The experimental results demonstrate that the improved algorithm can automatically select the proper size of the tracking window with the increasing or decreasing of the object vehicle's scale.
Iterative sorting of apical and basolateral cargo in Madin–Darby canine kidney cells

A novel assay quantitatively distinguishes different cargo pairs by their degree of colocalization at the TGN and the evolution of colocalization during their TGN-to-surface transport. Apical NTRp75 and basolateral VSVG in MDCK cells undergo continuous sorting between TGN exit and surface arrival.
Sexual Orientation and Social Attitudes

Gender, race, and class strongly predict social attitudes and are at the core of social scientific theory and empirical analysis. Sexuality (i.e., sexual orientation), however, is not as central a factor by which we conceptualize and systematize society. This study examines the impact of sexual orientation, gender, race, and education across attitudinal topics covered by the General Social Survey. Sexual orientation is an important part of people’s lives that, as I demonstrate, is a strong and exceptionally consistent predictor of social attitudes across issues regardless of whether it is measured with partnering behavior or self-identification. When sexual behavior and identity differ, however, identity is more influential. This pattern lends support to a marginalized identity explanation for why sexual minorities are consistently liberal. I conclude that future work should pay more attention to sexuality as a core factor in social scientific theory and empirical analysis.
Electrical Conduction in Canine Pulmonary Veins: Electrophysiological and Anatomic Correlation

Background—Paroxysmal atrial fibrillation in patients is often initiated by foci in the pulmonary veins. The mechanism of these initiating arrhythmias is unknown. The aim of this study was to determine electrophysiological characteristics of canine pulmonary veins that may predispose to initiating arrhythmias. Methods and Results—Extracellular recordings were obtained from the luminal side of 9 pulmonary veins in 6 Langendorff-perfused dog hearts after the veins were incised from the severed end to the ostium. Pulmonary veins were paced at the distal end, the ostium, and an intermediate site. During basic and premature stimulation, extracellular electrical activity was recorded with a grid electrode that harbored 247 electrode terminals. In 4 hearts, intracellular electrograms were recorded with microelectrodes. Myocyte arrangement immediately beneath the venous walls was determined by histological analysis in 3 hearts. Extracellular mapping revealed slow and complex conduction in all pulmonary veins. Activation delay after premature stimulation could be as long as 96 ms over a distance of 3 mm. Action potential duration was shorter at the distal end of the veins than at the orifice. No evidence for automaticity or triggered activity was found. Histological investigation revealed complex arrangements of myocardial fibers that often showed abrupt changes in fiber direction and short fibers arranged in mixed direction. Conclusions—Zones of activation delay were observed in canine pulmonary veins and correlated with abrupt changes in fascicle orientation. This architecture of muscular sleeves in the pulmonary veins may facilitate reentry and arrhythmias associated with ectopic activity.
Generating functions and Wilf equivalence for generalized interval embeddings

In 1999 in [J. Difference Equ. Appl. 5, 355–377], Noonan and Zeilberger extended the Goulden-Jackson Cluster Method to find generating functions of word factors. Then in 2009 in [Electron. J. Combin. 16(2), RZZ], Kitaev, Liese, Remmel and Sagan found generating functions for word embeddings and proved several results on Wilf-equivalence in that setting. In this article, the authors focus on generalized interval embeddings, which encapsulate both factors and embeddings, as well as the “space between” these two ideas. The authors present some results in the most general case of interval embeddings. Two special cases of interval embeddings are also discussed, as well as their relationship to results in previous works in the area of pattern avoidance in words.
Math 239 / Stat 260 : Algebraic Statistics Final Report : An Implicitization Challenge

Each node represents a binary random variable. Our goal is to describe the algebraic variety corresponding to this model. Let us discuss the geometry behind the model, a very beautiful one indeed. As a warm-up, consider a graph with four disconnected nodes. We know ([4], Example 1.2.6) that this simplicial complex corresponds to the complete independence model for four identically distributed random variables. Thus, Figure 1 represents a hidden model, where we marginalize over all possible values at the hidden root of the 4-claw tree. We see immediately that this corresponds to the secant variety of the Segre variety Seg(P × P × P × P). From the i.d. assumption we see that this model comes equiped with a natural S4-action, namely the one obtained by permuting all four observed nodes. It is worth mentioning that the case of four observed nodes is the first case where the secant variety of the Segre variety Seg(P × P × P × P) doesn’t fill in the whole space. In cases n = 2, 3 we have Sec(Seg(P × P)) = P and Sec(Seg(P × P × P)) = P. This follows by dimension arguments, since both secant varieties are nondefective. This was studied in full detail in [1], Example 2.1. The parametrization of the hidden model consists of a toric model corresponding to the fully observed undirected graphical model, composed with the marginalization map over the two hidden nodes. In this case, the marginalization map is given by a map P → P. According to [4], the Zariski closure of the image is a hypersurface. The goal consists of computing the degree of the equation, or even better, its Newton polytope. Interpolation techniques will allow us to compute the corresponding irreducible homogeneous polynomial equation in 16 unknowns. As we can imagine, the naive Gröbner basis approach won’t give us the desired result in a reasonable amount of time, if it terminates at all. So we need to develop an alternative approach. Tropical Algebraic Geometry will come to the rescue. The paper is organized as follows. In Section 2 we describe a parametrization of the model and we discuss its symmetric nature. We also describe the ideal defining the model in terms of an elimination task. We also give some insight to motivate the codimension 1 guess for the associated variety, which we’ll be discussed further in Section 5.1. In Section 3 we describe the ideal of the secant variety