Miracle-dz/UniFAR-FTUs huggingface dataset:
Pharmacokinetics of a novel oral slow-release form of misoprostol.

BACKGROUND The pharmacokinetics of a novel slow-release (SR) misoprostol was studied and compared to conventional misoprostol. METHODS Thirty-one women, pregnant between 8 and 12 weeks, requesting surgical abortion were randomly allocated to receive orally 400 microg conventional misoprostol, 400 microg SR misoprostol or 800 microg SR misoprostol. Venous blood samples were taken at 0, 30, 60, 120, 240 and 360 min after the administration of misoprostol. Misoprostol acid (MPA) was determined in serum samples using liquid chromatography/tandem mass spectrometry. RESULTS Serum peak concentration (Cmax) was highest for conventional oral misoprostol. The time to peak concentration (Tmax) was similar for all groups. The area under the curve up to 360 min was similar for conventional and for 800 microg SR misoprostol and significantly greater for these groups compared to 400 microg SR misoprostol (P = 0.013). CONCLUSION The new SR form of misoprostol demonstrated lower peak levels but longer-lasting elevation in plasma levels compared to conventional oral misoprostol. The AUC for 800 microg SR misoprostol was similar to that of 400 microg of conventional oral misoprostol. SR misoprostol may offer an alternative to repeated administration of oral misoprostol or to vaginal administration.
Statements versus Predicates in Spectral Bug Localization

This paper investigates the relationship between the use of predicate-based and statement-based program spectra for bug localization. Branch and path spectra are also considered. Although statement and predicate spectra can be based on the same raw data, the way the data is aggregated results in different information being lost. We propose a simple and cheap modification to the statement-based approach which retains strictly more information. This allows us to compare statement and predicate ''metrics'' (functions used to rank the statements, predicates or paths). We show that improved bug localization performance is possible using single-bug models and benchmarks.
Precise Navigation in Virtual Environments without Compromising Interaction

Many navigation techniques have been tried out and implemented by many researchers. However, their research is focused on the navigation techniques themselves (how to turn, how to move forward/backwards, how to change the speed of travel, etc.), and not on how precise the navigation is in complex virtual environments when many turns need to be taken to reach a destination. In addition, in many cases the ones who implement and invent new navigation techniques for Virtual Environments do not take into account interaction simply because their focus is on the navigation techniques themselves. However, when studying precision in navigation, interaction must be taken into consideration because it is yet another very important aspect in defining Virtual Reality and Virtual Environments. We found that simple adjustments on where we mount the sensor that controls the position/orientation of a user’s hand in a Virtual Environment plays a crucial role in navigation precision.
Source (or Part of the following Source): Type Article Title Warsaw Set of Emotional Facial Expression Pictures: a Validation Study of Facial Display Photographs Author(s) Warsaw Set of Emotional Facial Expression Pictures: a Validation Study of Facial Display Photographs

Copyright It is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s), other than for strictly personal, individual use, unless the work is under an open content licence (like Creative Commons). UvA-DARE is a service provided by the library of the University of Amsterdam (http://dare.uva.nl) (pagedate: 2016-03-01) Emotional facial expressions play a critical role in theories of emotion and figure prominently in research on almost every aspect of emotion. This article provides a background for a new database of basic emotional expressions. The goal in creating this set was to provide high quality photographs of genuine facial expressions. Thus, after proper training, participants were inclined to express " felt " emotions. The novel approach taken in this study was also used to establish whether a given expression was perceived as intended by untrained judges. The judgment task for perceivers was designed to be sensitive to subtle changes in meaning caused by the way an emotional display was evoked and expressed. Consequently, this allowed us to measure the purity and intensity of emotional displays, which are parameters that validation methods used by other researchers do not capture. The final set is comprised of those pictures that received the highest recognition marks (e.g., accuracy with intended display) from independent judges, totaling 210 high quality photographs of 30 individuals. Descriptions of the accuracy, intensity, and purity of displayed emotion as well as FACS AU's codes are provided for each picture. Given the unique methodology applied to gathering and validating this set of pictures, it may be a useful tool for research using face stimuli. The Warsaw Set of Emotional Facial Expression Pictures (WSEFEP) is freely accessible to the scientific community for non-commercial use by request at http://www.emotional-face.org.
Investigation of the Effect of “Fog of War” in the Prediction of StarCraft Strategy Using Machine Learning

StarCraft is a well-known real-time strategy game developed by Blizzard Entertainment in 1998. One of the characteristics of this game is “fog of war,” which refers to the fact that players cannot see their opponents' regions but only their own unit. This characteristic of the game means that the information required in order to predicting the opponent's strategy is only available through “scouting. ” Although the “fog of war” is one of the most important features of the game, it has not been deeply understood in the design of artificial intelligence. In this work, we propose to investigate the effect of the “fog of war” in the prediction of opponent's strategy using machine learning for human players and artificial intelligence (AI) bots. To realize this analysis, we develop a customized replay analyzer that exports the internal game events with/without the fog of war. In the experimental results, we collect replays from various sources: human vs. human, human vs. AI bots, and AI bots vs. AI bots. This systematic analysis with “fog of war” reveals the predictability of the machine-learning algorithms on different conditions and the directions for designing new artificial intelligence for the game.
A frequency-domain approach to wideband channel estimation in millimeter wave systems

Channel estimation allows millimeter wave (mmWave) MIMO communication systems to design pre-coders and combiners under different objective functions. Hybrid MIMO architectures provide a good trade-off power consumption-performance at mmWave frequencies, but most of the prior work on channel estimation for these structures assumes a narrowband channel model. In this paper, we propose a sparse approach for frequency selective channel estimation for mmWave channels, assuming a hybrid architecture. Simulation results show that the estimation error is small and the computational complexity is kept low. Moreover, the algorithm requires less training overhead than competing approaches based on beam training.
Healing of retinal photocoagulation lesions.

PURPOSE To systematically assess the changes in retinal morphology during the healing of retinal photocoagulation lesions of various clinical grades. METHODS Rabbits were irradiated with a 532-nm Nd:YAG laser with a beam diameter of 330 microm at the retinal surface, a power of 175 mW, and pulse durations between 5 and 100 ms. Retinal lesions were clinically graded 1 minute after placement as invisible, barely visible, light, moderate, intense, very intense, and rupture and were assessed histologically at six time points from 1 hour to 4 months. RESULTS At all pulse durations, the width of the retinal lesions decreased over time. At clinical grades of light and more severe (pulse durations, 10-100 ms), retinal scarring stabilized at 1 month at approximately 35% of the initial lesion diameter. Lesions clinically categorized as barely visible and invisible (pulse durations of 7 and 5 ms) exhibited coagulation of the photoreceptor layer but did not result in permanent scarring. In these lesions, photoreceptors completely filled in the damaged areas by 4 months. CONCLUSIONS The decreasing width of the retinal damage zone suggests that photoreceptors migrating from unaffected areas fill in the gap in the photoreceptor layer. Laser photocoagulation parameters can be specified to avoid not only the inner retinal damage, but also permanent disorganization and scarring in the photoreceptor layer. These data may facilitate studies to determine those aspects of laser treatment necessary for beneficial clinical response and those that result in extraneous retinal damage.
Optimal estimate and intercepting algorithm for state estimation of discrete-time Markov jump linear systems

In this paper, the state estimation problem for discrete-time Markov jump linear systems is considered. For this, two algorithms are presented. The first algorithm is an optimal algorithm for state estimate in the sense of minimum mean-square error estimate. The second algorithm is a suboptimal algorithm, called intercepting algorithm, which is based on the approximation for the proposed optimal algorithm. The intercepting algorithm is finite-dimensionally computable, and does not require ever-increasing computation and storage load with the length of the noise observation sequence. A numerical example is given to demonstrate the performance of the intercepting algorithm.
MRSim: A discrete event based MapReduce simulator

Recently MapReduce programming model is becoming popular for large scale data intensive distributed applications due to its efficiency, simplicity and ease of use. The Hadoop implementation of MapReduce is one of the most popular tools for many programmers due its ability to hide details of parallel programming from the users. However work on simulating the Hadoop environment is still in its infancy. Although there are a large number of simulating tools available to simulate distributed environments. However there are only a few simulators available which specifically targets the MapReduce environment. Based on testing we performed; the usability of these simulators is not satisfactory due to the simplified design which limits simulating jobs with variance configurations. We have designed and implemented a MapReduce simulator based on discrete event simulation called MRSim which accurately simulate the Hadoop environment. The simulator on one hand allows us to measure scalability of MapReduce based applications easily and quickly, on the other hand captures the effects of different configurations of Hadoop setup on MapReduce based applications behavior in terms of Hadoop job completion times and hardware utilization.
Antisense oligonucleotide‐directed cleavage of mRNA in Xenopus oocytes and eggs.

We have investigated the effect of specific antisense oligonucleotides on both exogenous and endogenous mRNAs in Xenopus oocytes and eggs. Injection of 19‐ or 20‐mers complementary to 70‐kd heat shock protein, histone H4 and vegetally localized Veg 1 coding sequences causes rapid cleavage and degradation of up to 96% of the target transcripts present in stage VI oocytes. Nuclear and cytoplasmic transcripts appear to be equally accessible to cytoplasmically injected oligonucleotide and efficient cleavage also occurs in mature oocytes and unfertilized eggs. The residual intact mRNA appears to be completely inaccessible, resisting cleavage by further addition of oligonucleotide. We confirm that antisense oligonucleotides appear to act specifically in vivo, as previously reported in vitro, by directing RNase H cleavage and destabilization of their complementary mRNA.
Actin stress fibre subtypes in mesenchymal-migrating cells

Mesenchymal cell migration is important for embryogenesis and tissue regeneration. In addition, it has been implicated in pathological conditions such as the dissemination of cancer cells. A characteristic of mesenchymal-migrating cells is the presence of actin stress fibres, which are thought to mediate myosin II-based contractility in close cooperation with associated focal adhesions. Myosin II-based contractility regulates various cellular activities, which occur in a spatial and temporal manner to achieve directional cell migration. These myosin II-based activities involve the maturation of integrin-based adhesions, generation of traction forces, establishment of the front-to-back polarity axis, retraction of the trailing edge, extracellular matrix remodelling and mechanotransduction. Growing evidence suggests that actin stress fibre subtypes, namely dorsal stress fibres, transverse arcs and ventral stress fibres, could provide this spatial and temporal myosin II-based activity. Consistent with their functional differences, recent studies have demonstrated that the molecular composition of actin stress fibre subtypes differ significantly. This present review focuses on the current view of the molecular composition of actin stress fibre subtypes and how these fibre subtypes regulate mesenchymal cell migration.
Maternal Inheritance and Stage-Specific Variation of the Apicoplast in Toxoplasma gondii during Development in the Intermediate and Definitive Host

ABSTRACT The structure and location of Toxoplasma gondii apicoplasts were examined in intermediate and definitive hosts and shown to vary in a stage-specific manner. Immunocytochemistry and electron microscopy studies were used to identify changes in the morphology of apicoplasts and in their enoyl reductase (ENR) content during asexual and sexual development. Apicoplasts in tachyzoites were small, multimembraned organelles anterior to nuclei that divided and segregated with the nuclei during endodyogeny. In nonproliferating bradyzoites within mature tissue cysts (1 to 24 months), apicoplasts had high levels of ENR. During coccidian development, asexual multiplication (endopolygeny), resulting in simultaneous formation of up to 30 daughters (merozoites), involved an initial growth phase associated with repeated nuclear divisions during which apicoplasts appeared as single, elongated, branched structures with increased levels of ENR. At initiation of merozoite formation, enlarged apicoplasts divided simultaneously, with constrictions, into portions that segregated to developing daughters. In sexual stages, apicoplast division did not occur during microgametogony, and apicoplasts were absent from the microgametes that were formed. In contrast, during macrogametogony, the apicoplast appeared as a large, branched, perinuclear structure that had very high levels of ENR in the absence of nuclear division. Marked increases in the size of apicoplasts and levels of ENR may be related to requirements of the macrogametocytes to synthesize and store all components necessary for oocyst formation and subsequent extracellular sporulation. Thus, it is shown that apicoplasts are present and contain ENR in all T. gondii life cycle stages except microgametes, which will result in maternal inheritance of the organelle.
OPTIMUM DESIGN OFA HELICOPTER ROTOR FOR LOW VIBRATION USING AEROELASTIC ANALYSIS AND RESPONSE SURFACE METHODS

An aeroelastic analysis based on finite elements in space and time is used to model the helicopter rotor in forward flight. The rotor blade is represented as an elastic cantilever beam undergoing flap and lag bending, elastic torsion and axial deformations. The objective of the improved design is to reduce vibratory loads at the rotor hub that are the main source of helicopter vibration. Constraints are imposed on aeroelastic stability, and move limits are imposed on the blade elastic stiffness design variables. Using the aeroelastic analysis, response surface approximations are constructed for the objective function (vibratory hub loads). It is found that second order polynomial response surfaces constructed using the central composite design of the theory of design of experiments adequately represents the aeroelastic model in the vicinity of the baseline design. Optimization results show a reduction in the objective function of about 30 per cent. A key accomplishment of this paper is the decoupling of the analysis problem and the optimization problems using response surface methods, which should encourage the use of optimization methods by the helicopter industry. # 2002 Elsevier Science Ltd. All rights reserved.
.2 Uses Sulfur Mustard

Chem. Abstr. Serv. Reg. No.: 505-60-2 Chem. Abstr. Serv. Name: 1,1′-Thiobis(2-chloroethane) Synonyms: Sulfur mustard, mustard gas Description: Colourless, oily liquid; forms prisms on cooling (O’Neill, 2006) Melting-point: 13–14 °C (O’Neill, 2006) Vapour pressure: 0.90 mm Hg at 30 °C (O’Neill, 2006) Solubility: Very sparingly soluble in water; soluble in fat solvents and other common organic solvents; high lipid solubility (O’Neill, 2006) Octanol-water partition coefficient: log Kow, 2.41 (HSDB, 2009)
Glucosamine sulfate use and delay of progression of knee osteoarthritis: a 3-year, randomized, placebo-controlled, double-blind study.

BACKGROUND Conventional symptomatic treatments for osteoarthritis do not favorably affect disease progression. The aim of this randomized, placebo-controlled trial was to determine whether long-term (3-year) treatment with glucosamine sulfate can modify the progression of joint structure and symptom changes in knee osteoarthritis, as previously suggested. METHODS Two hundred two patients with knee osteoarthritis (using American College of Rheumatology criteria) were randomized to receive oral glucosamine sulfate, 1500 mg once a day, or placebo. Changes in radiographic minimum joint space width were measured in the medial compartment of the tibiofemoral joint, and symptoms were assessed using the algo-functional indexes of Lequesne and WOMAC (Western Ontario and McMaster Universities). RESULTS Osteoarthritis was of mild to moderate severity at enrollment, with average joint space widths of slightly less than 4 mm and a Lequesne index score of less than 9 points. Progressive joint space narrowing with placebo use was -0.19 mm (95% confidence interval, -0.29 to -0.09 mm) after 3 years. Conversely, there was no average change with glucosamine sulfate use (0.04 mm; 95% confidence interval, -0.06 to 0.14 mm), with a significant difference between groups (P =.001). Fewer patients treated with glucosamine sulfate experienced predefined severe narrowings (>0.5 mm): 5% vs 14% (P =.05). Symptoms improved modestly with placebo use but as much as 20% to 25% with glucosamine sulfate use, with significant final differences on the Lequesne index and the WOMAC total index and pain, function, and stiffness subscales. Safety was good and without differences between groups. CONCLUSION Long-term treatment with glucosamine sulfate retarded the progression of knee osteoarthritis, possibly determining disease modification.
Education should be free! Occupy the DOE!: teacher activists involved in the Occupy Wall Street movement

Mass discontent erupted in 2011 through the Occupy Wall Street movement (OWS) when people took to the streets expressing frustration with growing economic disparities under neoliberal policies. In this article, I document how grassroots activists in New York City used OWS to galvanize energy for educational justice. Calling themselves Occupy the Department of Education, these teacher activists (TAs) critically analyzed wealth and power stratification as well as corporate-driven, market-based education reform. Through interviews, I explore TAs' frustration with policies undermining the participation; voices; and power of parents, students, and educators and detail grassroots organizing strategies used to respond to neoliberal reform. These five strategies included unmasking the neoliberal narrative of meritocracy and choice; diverting discontent with the economic crisis toward educational justice; amplifying voices through tools that allowed for democratic participation of people silenced by current structures; claiming coalition among diverse groups rather than embracing competitive models; and generating power by organizing for change. Ultimately, I reveal that by using such strategies, TAs worked to build a movement to confront neoliberal school reforms that they saw undermining public education.
Exercise autonomous motivation predicts 3-yr weight loss in women.

PURPOSE This study evaluated exercise-related predictors of successful long-term weight control in women by analyzing the extent to which sustained exercise participation and self-determination theory (SDT)-based exercise motivation variables mediated the impact of a behavioral weight control intervention on 3-yr weight change. METHODS Longitudinal randomized controlled trial consisting of a 1-yr SDT-based intervention and a 2-yr follow-up with 221 female participants (means ± SD: age = 37.6 ± 7 yr, body mass index = 31.6 ± 4.1 kg·m(-2)). The tested model incorporated experimentally manipulated perceived need support, motivational regulations, and 2-yr exercise adherence as mediators of the intervention's impact on 3-yr weight change. Paths were tested using partial least squares analysis. Where there were significant intervening paths, tests of mediation were conducted. RESULTS Treatment had significant effects on 1- and 2-yr autonomous regulations, 2-yr physical activity, and 3-yr weight change, fully mediated by the tested paths (effect ratio = 0.10-0.61). Moderate and vigorous exercise at 2 yr had a significant effect (P < 0.001) on weight loss success at 3 yr and partially mediated the effect of treatment on weight change. The 2-yr autonomous regulation effects on follow-up weight change were only partially mediated by physical activity (effect ratio = 0.42). CONCLUSIONS This application of SDT to physical activity and weight management showed that not all types of motivation predict long-term behavioral outcomes and that sustained moderate and vigorous exercise mediated long-term weight change. It provides strong evidence for a link between experimentally increased autonomous motivation and exercise and long-term weight loss maintenance. Results highlight the importance of interventions targeting the internalization of exercise behavioral regulation and making exercise and physical activity positive and meaningful experiences rather than simply focusing on immediate behavior change in overweight/obese women.