Miracle-dz/UniFAR-FTUs huggingface dataset:
Flexible workflows to support transactional service composition in mobile environments

Service oriented computing provides suitable means to technically support distributed collaboration of heterogeneous devices, for example those present in mobile environments. E.g., many applications are built on composite Web-Services. However, when executing these applications in dynamic environments, failures of participating entities have to be optimistically coped with, in order to avoid inconsistent system states and thereby provide suitable correctness guarantees. Transactional coordination for services so far lacks the possibility to adapt failure handling to the current execution context, e.g. dynamically bound services at runtime. In this paper, we employ transactional service properties to ensure reliable, i.e., correct execution of workflows by still respecting the autonomy of participants. We propose algorithms to verifiy and alter the structure of the composition at runtime, thus adapting the control flow to the current execution context to ensure correct execution.
Spatial dysgraphia and cerebellar lesion

Spatial dysgraphia is a writing disorder that occurs in patients with right hemisphere lesion. We report a patient with cerebellar atrophy and spatial dysgraphia. To explain this finding, we hypothesize a discoordination between planning of the movement and performance due to a lack of the cerebellar modulation between supratentorial (premotor cortex) and peripheral (proprioceptive) afference during the ongoing handwriting movement.
Efficient graph algorithms for sequential and parallel computers

In this thesis we study graph algorithms, both in sequential and parallel contexts. In the following outline of the thesis, algorithms complexities are stated in terms of the number of vertices n, the number of edges m, the largest absolute value of capacities U, and the largest value of costs C. In Chapter 1 we introduce a new approach to the maximum flow problem that leads to better algorithms for the problem. These algorithms include an O(nmlog(n /m)) time sequential algorithm, an O(n logn) time parallel algorithm that uses O(n) processors and O(m) memory, and both synchronous and asynchronous distributed algorithms. Chapter 2 is devoted to the minimum cost flow problem, which is a generalization of the maximum flow problem. We introduce a frame work that allows the generalization of the maximum flow techniques to the minimum-cost flow problem. We exhibit O(nmlog(n)log(nC)), O(n m log(nC)), and O(nnnlog(nC)) time sequential algorithms as well as parallel and distributed algorithms. In Chapter 3 we address implementation of parallel algorithms through a case-study implementation of a parallel maximum flow algorithm. Parallel prefix operations play an important role in our implementation. We present experimental results achieved by the implementation. Parallel symmetry-breaking techniques are the main topic of Chapter 4. We give an O(lg*n) algorithm for 3-coloring a rooted tree. This algorithm is used to improve several parallel algorithms, including algorithms for +1-coloring and finding maximal independent set in constant-degree graphs, 5-coloring planar graphs, and finding a maximal matching in planar graphs. We also prove lower bounds on the parallel complexity of the maximal independent set problem and the problem of 2-coloring a rooted tree.
Crystal structure of 4-chloro-2-[(5-ethoxy-1,3,4-thiadiazol-2-yl)methyl]-5-(piperidin-1-yl)pyridazin-3(2H)-one

In the title molecule, C14H18ClN5O2S, the six atoms of the 1,6-dihydropyridazine ring are essentially coplanar (r.m.s. deviation = 0.008 Å), and the dihedral angle between this and the 1,3,4-thiadiazole ring is 62.06 (10)°. In the crystal, centrosymmetrically related molecules are linked by intermolecular C—H—O hydrogen bonding to form a supramolecular dimer. The terminal ethyl group is statistically disordered over two positions.
Understanding the translocation mechanism of PLGA nanoparticles across round window membrane into the inner ear: a guideline for inner ear drug delivery based on nanomedicine

Background The round window membrane (RWM) functions as the primary biological barrier for therapeutic agents in the inner ear via local application. Previous studies on inner ear nano-drug delivery systems mostly focused on their pharmacokinetics and distribution in the inner ear, but seldom on the interaction with the RWM. Clarifying the transport mechanism of nanoparticulate carriers across RWM will shed more light on the optimum design of nano-drug delivery systems intended for meeting demands for their clinical application. Methods The poly (lactic-co-glycolic acid) nanoparticles (PLGA NPs) encapsulating coumarin-6 were prepared by emulsifying solvent evaporation method. We utilized confocal laser scanning microscope (CLSM) in combination with transmission electron microscope to investigate the transport pathway of PLGA NPs in the RWM. Simultaneously, the concentration and time dependence of NPs across the RWM were also determined. The endocytic mechanism of NPs through this membrane interface was classically analyzed by means of various endocytic inhibitors. The intracellular location of NPs into lysosomes was evaluated using CLSM scanning microscope colocalization analysis. The Golgi-related inhibitors were employed to probe into the function of Golgi and endoplasmic reticulum (ER) in the discharge of NPs out of cells. Results PLGA NPs were herein transported through the RWM of a sandwich-like structure into the perilymph via the transcellular pathway. NPs were internalized predominantly via macropinocytosis and caveolin-mediated endocytic pathways. After being internalized, the endocytosed cargos were entrapped within the lysosomal compartments and/or the endoplasmic reticulum/Golgi apparatus which mediated the exocytotic release of NPs. Conclusion For the first time, we showed the translocation itinerary of NPs in RWM, providing a guideline for the rational fabrication of inner ear nanoparticulate carriers with better therapeutic effects.
How Do Children Find Information on Different Types of Tasks? Children's Use of the Science Library Catalog

AESTRACT CHILDREN ARE INCREASINGLY GAINING access to digitized information through many media-nline catalogs, CD-ROMs, online services, and the Internet. Using these tools to find the desired information can be challenging, as research has shown with adult searchers of online catalogs and online databases. Searching these electronic information sources requires a different set of search strategies and skills than searching print sources and appears to be related to the type of information that is desired. This article examines some of the issues related to how elementary schoolchildren find information on different types of search tasks on information retrieval systems, focusing on their use of the Science Library Catalog. The study found that task complexity and the amount of knowledge children have about the topic influence their success in locating information in the Science Library Catalog.
Initial changes in posterior talar glide and dorsiflexion of the ankle after mobilization with movement in individuals with recurrent ankle sprain.

STUDY DESIGN A double-blind randomized crossover experimental study with repeated measures, including a no-treatment control condition. OBJECTIVE To evaluate the initial effect of 2 mobilization with movement (MWM) treatment techniques performed in weight bearing and non-weight bearing on posterior talar glide and talocrural dorsiflexion in individuals with recurrent lateral ankle sprain. BACKGROUND MWM treatment techniques are commonly used in the treatment of musculoskeletal pain, such as lateral ankle sprain. Recent evidence indicates that a lack of posterior talar glide and weight-bearing ankle dorsiflexion are common physical impairments in individuals with recurrent ankle sprains. MWM of the ankle joint involves the application of a combined posterior talar glide mobilization and active dorsiflexion movement. The recurrent ankle sprain injury and the MWM treatment techniques for the ankle seemingly provide an appropriate model to further evaluate the effects and mechanism(s) of action of the MWM treatment techniques in a way that they have not been tested to date. METHODS Sixteen subjects (mean +/- SD age, 19.8 +/- 2.3 years) with a history of recurrent lateral ankle sprain and deficits in posterior talar glide (71%) and weight-bearing dorsiflexion (34%) were studied. A within-subjects study design was used to evaluate the effect of 2 independent variables: treatment conditions (weight-bearing MWM, non-weight-bearing MWM, and a no-treatment control group) and time (pretreatment and posttreatment) on the dependent variables of posterior talar glide and weight-bearing dorsiflexion. RESULTS Both the weight-bearing and non-weight-bearing MWM treatment techniques significantly improved posterior talar glide by 55% and 50% of the preapplication deficit between affected and unaffected sides, respectively, which was significantly greater than that of the control group (P<.001). The weight-bearing and non-weight-bearing MWM treatment techniques improved weight-bearing dorsiflexion by 26% (P<.017), compared to 9% for the control condition. The change in posterior talar glide, expressed as a proportion of pretreatment deficit, was correlated to the change in weight-bearing dorsiflexion (r = .88, P<.001), but only after the weight-bearing MWM technique. CONCLUSION This preliminary study demonstrated an initial ameliorative effect of MWM treatment techniques on posterior talar glide and dorsiflexion range of motion in individuals with recurrent lateral ankle sprain. These results suggest that this technique should be considered in rehabilitation programs following lateral ankle sprain. This study provides justification for follow-up research of the long-term effects of MWM on lateral ankle sprain and proposes further work be conducted on the posterior talar glide test.
Intermittent hypoxia impairs performance of adult mice in the two‐way shuttle box but not in the Morris water maze

We have previously found that neonatal intermittent hypobaric hypoxia exposure enhanced mouse spatial, but impaired associative, cognition. This study sought to investigate the effects of hypobaric hypoxia on adult mice cognition. Mice were exposed to 2, 5, 10, 15, or 25 days of intermittent hypoxia (IH; 4 hr/day) at 2 km (16.0% O2) or 5 km (10.8% O2) altitudes in a hypobaric chamber for the Morris water maze (MWM) test and exposed to IH for 2, 10, or 25 days for the shuttle‐box test. Amino acid dynamics in vivo in the hippocampus and amygdala of mice exposed to 2 km hypoxia were analyzed by high‐pressure liquid chromatography. The results in MWM task showed that IH‐2d to ‐25d at 2 km or 5 km did not change the escape latencies of mice in the training test or the retention of platform in the probe test. In the shuttle‐box task, however, IH‐10d at 5 km significantly reduced mouse avoidances in the acquisition test on day 4, and IH‐10d at 2 km reduced avoidances in the retention test; IH‐25d at 5 km significantly reduced avoidances of mice throughout the acquisition days. Glutamate in the amygdala persisted in declining to 69% of baseline at 8 hr posthypoxia (P = 0.040 vs. GLU released during 30 min before hypoxia) during the posthypoxia stage. These results suggest that adult hypobaric IH impairs the hippocampal‐independent, but not the hippocampal‐dependent, task in mice. The different GLU releases in the hippocampus and amygdala in response to hypoxia are involved in the different behaviors. © 2006 Wiley‐Liss, Inc.
Searching for Meaning in RNNs using Deep Neural Inspection

Recent variants of Recurrent Neural Networks (RNNs)---in particular, Long Short-Term Memory (LSTM) networks---have established RNNs as a deep learning staple in modeling sequential data in a variety of machine learning tasks. However, RNNs are still often used as a black box with limited understanding of the hidden representation that they learn. Existing approaches such as visualization are limited by the manual effort to examine the visualizations and require considerable expertise, while neural attention models change, rather than interpret, the model. We propose a technique to search for neurons based on existing interpretable models, features, or programs.
Filtering algorithms development using spline approximation operators

The spline functions are a useful tool for signal processing. This article aims to provide a tutorial over spline operators used as an approximation mechanism in analysis of analogical system circuits that is geared to a signal processing audience. The algorithm of spline operators is developed using differential equation of an electrical circuit, in particular with constant coefficients. We describe the mathematical method to develop the design of spline operators and we build those operators, using virtual instrumentation available in Lab View software.
Outcomes of Surgical Treatment and Radiation Therapy in En Plaque Sphenoid Wing Meningioma.

Objective En plaque sphenoid wing meningioma is a rare tumor. Complete surgical resection is difficult. Role of adjuvant radiation therapy in treatment of meningiomas is still controversial. This present study aimed to examine the clinical outcomes and to evaluate the role of adjuvant radiation for the residual tumors. Material and Method A retrospective study was performed in 26 patients with en plaque sphenoid wing meningioma, who underwent operation at Prasat Neurological Institution between January 2008 and December 2012. Presenting symptoms, location of tumor, surgical approach, postoperative outcomes, and adjuvant radiation were reviewed and analyzed. Results Among the 26 patients, their ages ranged from 31 to 57 years. All tumors were removed by transcranial approach. Eleven of the patients underwent adjuvant radiation therapy and post-radiation imaging revealed tumors being stable in size. Nine patients that had regrowth tumors were not radiated. Mean followed-up time was 51.77 months (range 18-96 months). Conclusion Proptosis, visual acuity and cosmetic problems can be improved by surgery. Postoperative adjuvant radiation therapy may be an option for residual en plaque sphenoid wing meningioma.
Affine restoration decoding for MIMO-OFDM ultrawideband communications

This paper discusses a near-optimal detection algorithm for 2times2 multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems operating on ultrawideband (UWB) channels. The reported affine restoration (AR) algorithm exploits the independence among the elements of the channel matrix and performs a parallel detection process at all receive antennas. For performance approaching that of maximum likelihood (ML) detection, but with lower complexity, the channel state information (CSI) at the receiver is utilized to restore the transmitted vector without channel matrix inversion or decomposition. We create a subset of the ML search space so as to reduce the computational complexity with minimal compromise on performance. We also discuss a modification in the proposed algorithm to further reduce the detection complexity. The proposed algorithm achieves near-optimal performance as demonstrated through simulations.
Joint Transceiver Design for Full-Duplex Cloud Radio Access Networks With SWIPT

This paper studies joint transceiver design for a full-duplex (FD) cloud radio access network with simultaneous wireless information and power transfer. In the considered network, a number of FD remote radio heads receive information from uplink users, while transmitting both information and energy to a set of half-duplex (HD) downlink users with power splitting receivers. We aim to minimize the total power consumption with both uplink-downlink quality of service constraints and energy harvesting constraints. The resulting problem is challenging, because various design parameters, such as the transceiver beamformers, the uplink transmit power, and the receive power splitting ratios, are tightly coupled in the constraints. Four different solution approaches are proposed for the joint transceiver design problem, each one leading to a different numerical algorithm. In particular, a block coordinate descent method is proposed, and by exploiting the problem structure, we prove that the algorithm converges to a Karush-Kuhn-Tucker solution, despite the coupling of various design variables in the constraints. Simulation results validate the effectiveness of the proposed algorithms as compared with the traditional HD scheme.
Ranking search results based on combination of interests

Search engines usually return relevant sorted results based on the keywords. Because of the lack of considering the user's current search interest and intention, this kind of strategy may not meet users' personalized search requirements. In order to retrieve results associated with the user's current search interest, existing researches integrate the user's interest information into the search process and ranking, so as to make the search results fit to the user's current search target more better. Different from the unified model of interest which most current related researches used, we propose a model of combing user's interests for the purpose of ranking in the light of different query types. This paper first classified queries into several types based on the current keywords and the sources of user's interests, such as short-term interest in user clicks, and long-term interest in user's search history, search logs of the search system etc. Then based on the sources of interests, we established a model of combination of interests which based on the artificial neural network and was trained by related approaches and data sets. Depending on different query types, we combined these sources of user's interests that the most best reflecting the user's current search intention to enhance the user's search experience. Comparing with the existing model of single interest, the results of the experiments show that our model can obtain better ranking on the results.
The CSLU speaker recognition corpus

This paper describes the CSLU Speaker Recognition Corpus data collection. The corpus was motivated by a need for speech data from many speakers, under different environmental conditions, with each speaker providing data over a significant period of time. The corpus was designed to provide sufficient data to study phonetic variability within and across sessions, and to design and evaluate systems for both vocabulary independent and vocabulary specific recognition and verification tasks. The protocol includes fixed vocabulary phrases, digit strings, personal utterances (e.g., eye color), and fluent speech. The resulting Speaker Recognition Corpus is a collection of telephone speech recordings from over 500 participants collected over a two-year period. We describe the data collection procedure, the protocol, the transcription methods and the current status of the Speaker Recognition Corpus.
Influence of energy drink ingredients on mood and cognitive performance.

Sales of energy products have grown enormously in recent years. Manufacturers claim that the products, in the form of drinks, shots, supplements, and gels, enhance physical and cognitive performance, while users believe the products promote concentration, alertness, and fun. Most of these products contain caffeine, a mild psychostimulant, as their foremost active ingredient. However, they also contain additional ingredients, e.g., carbohydrates, amino acids, herbal extracts, vitamins, and minerals, often in unspecified amounts and labeled as an "energy blend. " It is not clear whether these additional ingredients provide any physical or cognitive enhancement beyond that provided by caffeine alone. This article reviews the available empirical data on the interactive effects of these ingredients and caffeine on sleep and cognitive performance and suggests objectives for future study.
KNOWLEDGE AND ATTITUDE OF MENTAL ILLNESS AMONG GENERAL PUBLIC OF SOUTHERN INDIA

Background: Mental disorders are widely recognized as a major contributor to the global burden of disease worldwide. The aim of this study was to examine the knowledge and attitude about mental illness among general public. Method: This is a cross-sectional survey conducted from October 2008 to March 2009. A questionnaire was designed to assess knowledge, attitude, and practice regarding mental illness. Results: 100 subjects were selected conveniently, of which 33 % males and 67 % females, most of them in the age group above 30 years. Mean knowledge score of the subjects was 5.90 ± 1.22. Item wise awareness regarding mental illness were common mental disorders (60%), causes (35%), signs and symptoms of mental illness (60%), treatment (42%) and prognosis 30 % and most of them had negative attitude towards mental illness. High knowledge score has been associated with male and aged between 18-30 years. Conclusion: Knowledge of mental illness among the general public was quite poor and suggests the need for strong emphasis on public education to increase mental health literacy among general public to increase awareness and positive attitude of people towards mental illness.
A New Hybrid Dependency Parser for German

We describe the development of a new German parser that uses a hybrid approach, combining a hand-written rule-based grammar with a probabilistic disambiguation system. Our evaluation shows that this parsing approach can compete with state-of-the-art systems both in terms of efficiency and parsing quality. The hybrid approach also allows for the integration of the morphology tool GERTWOL, which leads to a comparatively high precision for core syntactic relations.
PDK 1 regulates VDJ recombination , cell-cycle exit and survival during B-cell development

Ram KC Venigalla*, Victoria A McGuire, Rosemary Clarke, Janet C Patterson-Kane, Ayaz Najafov, Rachel Toth, Pierre C McCarthy, Frederick Simeons, Laste Stojanovski and J Simon C Arthur* MRC Protein Phosphorylation Unit, Sir James Black Centre, College of Life Sciences, University of Dundee, Dundee, UK, Division of Cell Signaling and Immunology, College of Life Sciences, University of Dundee, Dundee, UK, Institute of Infection, Immunity and Inflammation, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK and Division of Biological Chemistry and Drug Discovery, College of Life Sciences, University of Dundee, Dundee, UK
Bioactive compounds extracted from Indian wild legume seeds: antioxidant and type II diabetes–related enzyme inhibition properties

Seven different wild legume seeds (Acacia leucophloea, Bauhinia variegata, Canavalia gladiata, Entada scandens, Mucuna pruriens, Sesbania bispinosa and Tamarindus indica) from various parts of India were analyzed for total free phenolics, l-Dopa (l-3,4 dihydroxyphenylalanine), phytic acid and their antioxidant capacity (ferric-reducing antioxidant power [FRAP] and 2,2-diphenyl-1-picrylhydrazyl [DPPH] assay) and type II diabetes–related enzyme inhibition activitiy (α-amylase). S. bispinosa had the highest content in both total free phenolics and l-Dopa, and relatively low phytic acid when compared with other seeds. Phytic acid content, being highest in E. scandens, M. pruriens and T. indica, was highly predictive for FRAP (r = 0.47, p < 0.05) and DPPH (r = 0.66, p < 0.001) assays. The phenolic extract from T. indica and l-Dopa extract from E. scandens showed significantly higher FRAP values among others. All seed extracts demonstrated a remarkable reducing power (7–145 mM FeSO4 per mg extract), DPPH radical scavenging activity (16–95%) and α-amylase enzyme inhibition activity (28–40%).
Crystal structure of trans-aqua(perchlorato-κO)bis(propane-1,3-diamine-κ2 N,N′)copper(II) perchlorate

In the title compound, the CuII atom has a distorted octahedral coordination sphere coordinated by the N atoms of two propane-1,3-diamine ligands in the equatorial plane. The axial positions are occupied by a water O atom and an O atom of a disordered perchlorate anion [occupancy ratio 0.631 (9):369 (9)].