Miracle-dz/UniFAR-FTUs huggingface dataset:
Potential role of tedizolid phosphate in the treatment of acute bacterial skin infections

Tedizolid phosphate (TR-701), a prodrug of tedizolid (TR-700), is a next-generation oxazolidinone that has shown favorable results in the treatment of acute bacterial skin and skin-structure infections in its first Phase III clinical trial. Tedizolid has high bioavailability, penetration, and tissue distribution when administered orally or intravenously. The activity of tedizolid was greater than linezolid against strains of Staphylococcus spp. , Streptococcus spp. , and Enterococcus spp. in vitro studies, including strains resistant to linezolid and those not susceptible to vancomycin or daptomycin. Its pharmacokinetic characteristics allow for a once-daily administration that leads to a more predictable efficacy and safety profile than those of linezolid. No hematological adverse effects have been reported associated with tedizolid when used at the therapeutic dose of 200 mg in Phase I, II, or III clinical trials of up to 3 weeks of tedizolid administration. Given that the clinical and microbiological efficacy are similar for the 200, 300, and 400 mg doses, the lowest effective dose of 200 mg once daily for 6 days was selected for Phase III studies in acute bacterial skin and skin-structure infections, providing a safe dosing regimen with low potential for development of myelosuppression. Unlike linezolid, tedizolid does not inhibit monoamine oxidase in vivo, therefore interactions with adrenergic, dopaminergic, and serotonergic drugs are not to be expected. In conclusion, tedizolid is a novel antibiotic with potent activity against Gram-positive microorganisms responsible for skin and soft tissue infections, including strains resistant to vancomycin, linezolid, and daptomycin, thus answers a growing therapeutic need.
Testing for occult heartworm infection.

Abstract Heartworm infection in dogs is endemic in southern Ontario but occurs only sporadically throughout the remainder of Canada. The disease may either be associated with microfilariae in the patient's blood, a patent infection, or it may be occult. This paper describes a case of occult dirofilariasis in a dog, with emphasis on the diagnosis. A patent infection could be missed if the clinician tests an insufficient amount of blood. He should perform multiple concentration tests using either the modified Knott's technique or a filtration method. Occult infections occur in prepatent or unisexual infections, when the worms become sterile following therapy, or when the host produces antibodies that result in the destruction of the microfilariae. The recent release of a kit which detects the presence of antibodies to the adult heartworms now enables veterinarians to make an accurate diagnosis in the vast majority of dogs.
Disruptive forces for swine heart, liver, and spleen: their breaking stresses.

OBJECTIVES The mechanical strengths of the swine heart, liver, and spleen were determined by measuring the force that initiated the rupture of the organs. METHODS The force was loaded by the compression of a detection bar onto the organ, and the breaking stress was calculated by dividing the force by the bar's contact area. The forces were measured with five measurements in five of each type of organ with and without the serous membrane (SM). RESULTS The breaking stresses of the heart were 14.1+/-0.7 kg/cm2 (mean+/-SEM) with intact epicardium and 8.1+/-0.6 without it; those of the spleen were 9.0+/-0.9 with its capsule and 1.8+/-0.1 without the capsule, and those of the liver were 4.6+/-0.3 with and 3.6+/-0.3 without the SM. A three-way layout analysis of variance showed that the organs, their SM and individual swine were independent determinants of the breaking stresses. CONCLUSION With the intact SM, the heart was strongest and the liver was weakest. When the SM was not present, the spleen lost 80% of its strength, the liver 22% of its strength, and the heart lost 43% of its strength.
THE ROLE OF EMOTIONAL INTELLIGENCE IN TEAM LEADERSHIP: REPLY TO THE CRITIQUE BY ANTONAKIS

Prati, Douglas, Ferris, Ammeter, and Buckley (2003) have proposed that emotional intelligence is a critical component in effective team leadership and team outcomes. John Antonakis (2003) questioned whether the first claim in this article, that emotional intelligence is critical for effective team leadership, is justified. He presents six questions that illuminate his reservations. In response, the present authors attempt to answer his reservations by clarifying and explicating the reasoning behind this claim.
Using Linked Data to Build Open, Collaborative Recommender Systems

While recommender systems can greatly enhance the user experience, the entry barriers in terms of data acquisition are very high, making it hard for new service providers to compete with existing recommendation services. This paper proposes to build open recommender systems which can utilise Linked Data to mitigate the new-user, new-item and sparsity problems of collaborative recommender systems. We describe how to aggregate data about object centred sociality from different sources and how to process it for collaborative recommendation. To demonstrate the validity of our approach, we augment the data from a closed collaborative music recommender system with Linked Data, and significantly improve its precision and recall.
An assistive robot to support dressing - strategies for planning and error handling

Assistive robots are emerging to address a social need due to changing demographic trends such as an ageing population. The main emphasis is to offer independence to those in need and to fill a potential labour gap in response to the increasing demand for caregiving. This paper presents work undertaken as part of a dressing task using a compliant robotic arm on a mannequin. Several strategies are explored on how to undertake this task with minimal complexity and a mix of sensors. A Vicon tracking system is used to determine the arm position of the mannequin for trajectory planning by means of waypoints. Methods of failure detection were explored through torque feedback and sensor tag data. A fixed vocabulary of recognised speech commands was implemented allowing the user to successfully correct detected dressing errors. This work indicates that low cost sensors and simple HRI strategies, without complex learning algorithms, could be used successfully in a robot assisted dressing task.
Reelin Secreted by GABAergic Neurons Regulates Glutamate Receptor Homeostasis

Background Reelin is a large secreted protein of the extracellular matrix that has been proposed to participate to the etiology of schizophrenia. During development, reelin is crucial for the correct cytoarchitecture of laminated brain structures and is produced by a subset of neurons named Cajal-Retzius. After birth, most of these cells degenerate and reelin expression persists in postnatal and adult brain. The phenotype of neurons that bind secreted reelin and whether the continuous secretion of reelin is required for physiological functions at postnatal stages remain unknown. Methodology/Principal Findings Combining immunocytochemical and pharmacological approaches, we first report that two distinct patterns of reelin expression are present in cultured hippocampal neurons. We show that in hippocampal cultures, reelin is secreted by GABAergic neurons displaying an intense reelin immunoreactivity (IR). We demonstrate that secreted reelin binds to receptors of the lipoprotein family on neurons with a punctate reelin IR. Secondly, using calcium imaging techniques, we examined the physiological consequences of reelin secretion blockade. Blocking protein secretion rapidly and reversibly changes the subunit composition of N-methyl-D-aspartate glutamate receptors (NMDARs) to a predominance of NR2B-containing NMDARs. Addition of recombinant or endogenously secreted reelin rescues the effects of protein secretion blockade and reverts the fraction of NR2B-containing NMDARs to control levels. Therefore, the continuous secretion of reelin is necessary to control the subunit composition of NMDARs in hippocampal neurons. Conclusions/Significance Our data show that the heterogeneity of reelin immunoreactivity correlates with distinct functional populations: neurons synthesizing and secreting reelin and/or neurons binding reelin. Furthermore, we show that continuous reelin secretion is a strict requirement to maintain the composition of NMDARs. We propose that reelin is a trans-neuronal messenger secreted by GABAergic neurons that regulates NMDARs homeostasis in postnatal hippocampus. Defects in reelin secretion could play a major role in the development of neuropsychiatric disorders, particularly those associated with deregulation of NMDARs such as schizophrenia.
Assessment of Treatment Acceptability

This paper reviews the treatment acceptability literature starting with Kazdin's (1977) and Wolfs (1978) earlier discussion of social validity. Treatment acceptability is defined, and the instruments used in its assessment are reviewed. The paper then discusses the research methodology (analogue or clinical) and reviews the individuals who have rated acceptability, as well as the treatments and problem behaviors that have been evaluated in the literature. Factors that may influence acceptability or produce changes in acceptability are discussed. Finally, the paper suggests how research in treatment acceptability may be extended to the field of early childhood special education.
Archaeal dominated ammonia-oxidizing communities in Icelandic grassland soils are moderately affected by long-term N fertilization and geothermal heating

The contribution of ammonia-oxidizing bacteria and archaea (AOB and AOA, respectively) to the net oxidation of ammonia varies greatly between terrestrial environments. To better understand, predict and possibly manage terrestrial nitrogen turnover, we need to develop a conceptual understanding of ammonia oxidation as a function of environmental conditions including the ecophysiology of associated organisms. We examined the discrete and combined effects of mineral nitrogen deposition and geothermal heating on ammonia-oxidizing communities by sampling soils from a long-term fertilization site along a temperature gradient in Icelandic grasslands. Microarray, clone library and quantitative PCR analyses of the ammonia monooxygenase subunit A (amoA) gene accompanied by physico-chemical measurements of the soil properties were conducted. In contrast to most other terrestrial environments, the ammonia-oxidizing communities consisted almost exclusively of archaea. Their bacterial counterparts proved to be undetectable by quantitative polymerase chain reaction suggesting AOB are only of minor relevance for ammonia oxidation in these soils. Our results show that fertilization and local, geothermal warming affected detectable ammonia-oxidizing communities, but not soil chemistry: only a subset of the detected AOA phylotypes was present in higher temperature soils and AOA abundance was increased in the fertilized soils, while soil physio-chemical properties remained unchanged. Differences in distribution and structure of AOA communities were best explained by soil pH and clay content irrespective of temperature or fertilizer treatment in these grassland soils, suggesting that these factors have a greater potential for ecological niche-differentiation of AOA in soil than temperature and N fertilization.
Time and the Prison Experience [1]

Throughout the literature on time there has been an omission of the qualitative dimension of time in relation to the experience of time in different locales. This paper will explore the nature and role of time-use in prison. Based on intensive fieldwork in 8 male and female prison establishments, this article will explore the experiences of women and men aged 50 years and above, serving a custodial sentence and their relationship with time. The data draws from 90 semi-structured interviews. The aim of this paper is firstly to landscape time use in prison. Secondly, to show how time in prison is negotiated by the prisoners and finally, examine how outside time becomes more real as the transition from a closed to an open prison becomes more imminent.
Women in Recovery from Alcoholism: The Place of Leisure

There have been a variety of studies that have examined the experiences of women in recovery from alcoholism and other addictions. However, few of these studies have investigated the role of leisure in the recovery process of women. It is generally accepted that women have a different experience of both addiction/recovery, and leisure, than do men. Consequently, the purpose of this project was to examine the recovery related experiences of women in recovery from alcoholism, with a particular emphasis on leisure. The data from an indepth case study of three women, conducted over a six-month period, who had formed their own support network, were examined using a feminist interpretive approach. The results indicated that these women found leisure involvement to be critical to their moving beyond just "not drinking" toward true recovery. However, they stated that, for them, learning how to experience leisure without the mediation of alcohol was extremely difficult. In spite of this difficulty, they undertook the challenge of learning about leisure as they began to recognize its benefits in rebuilding a nonalcoholic identity and a meaningful life. Specifically, they found that leisure involvement allowed them to (a) learn about themselves, (b) learn how to accept and appreciate their various attributes and limitations, and (c) take risks as another means of developing self-awareness.
Parallel skeletonization by directional information

The paper presents a parallel algorithm to obtain the 8-connected labelled skeleton of a binary picture. It performs both the distance transformation and the erosion of the figure at the same time, and adopts directional information to guide such processes. The combination of directional and distance information leads to a reversible skeletonization which preserves both topological and geometrical properties of the figure, is largely rotation invariant, and exhibits a low computational cost. <<ETX>>
Robust State Estimation with Sparse Outliers

One of the major challenges for state estimation algorithms, such as the Kalman filter, is the impact of outliers that do not match the assumed process and measurement noise. When these errors occur, they can induce large state estimate errors and even filter divergence. Although there are robust filtering algorithms that can address measurement outliers, in general, they cannot provide robust state estimates when state propagation outliers occur. This paper presents a robust recursive filtering algorithm, the l1-norm filter, which can provide reliable state estimates in the presence of both measurement and state propagation outliers. In addition, Monte Carlo simulations and vision-aided navigation experiments demonstrate that the proposed algorithm can provide improved state estimation performance over existing robust filtering approaches.
Associations among nonword repetition and phonemic and vocabulary awareness: Implications for intervention

Prior research has shown possible relations among nonword repetition (NWR), vocabulary, and phonological processing skills in children with and without language impairment. This study was designed to investigate whether relationships would differ for students with primary language impairment (PLI) and typical language (TL) and whether they would shift across the school-age years, with implications for setting intervention priorities. NWR performance was compared for school-age students with PLI (n = 36) and TL (n = 36), matched for age, sex, race/ethnicity, and home language experience at three grade level bands (grades 1–2, 3–5, and 6–12). Both groups also completed tests of vocabulary awareness and phonological awareness to investigate them as predictors of performance on the NWR task. The two groups differed significantly with large effect sizes on the NWR task, as well as on vocabulary awareness and phonological awareness tasks. Regression analyses supported different predictive models for students with TL and PLI, with vocabulary awareness predicting significant variance in NWR for the TL students, but not for those with PLI. Conversely, phonological awareness, but not vocabulary awareness, predicted NWR for the students with PLI. Controlling for age did not change the regression models. Results support a view that phonological processing difficulties may function as a specific limiting factor for students with PLI, influencing their ability to learn new vocabulary as well as vice versa. These results have implications for designing treatment aimed explicitly at helping children connect sublexical aspects of word structure knowledge with word meaning.
Dual Frequency Selective Transparent Front Doors for Microwave Oven with Different Opening Areas

Microwave oven generates a harmful electromagnetic wave at 2.45 GHz of 1000 Watts. The generated microwave is confined within the cavity of the oven for efficient heating and secured operation. To prevent microwave leakage through the front glass door, a special construction of Faraday Cage is involved. In this paper, Faraday Cage is replaced with Transparent Frequency Selective Surface Front Door, which provides better visibility and avoids microwave energy to escape from the oven. Two works are proposed in this paper. The first one is band pass response which has been achieved for 10 GHz by printing array of Greek cross aperture (FSS) on the front glass door, and the second work is band stop response which has been achieved for 2.45 GHz frequency by printing the array of circular ring patch (FSS) on the front glass door. Design of two different FSS arrays and the simulation results were discussed.
Research on Image Automatic Registration Based on Heterogeneous Features

The image registration based on the features of the image is a major research direction.The points feature is used in traditional registration methods,but the lines and other basic features are ignored. So,an image auto registration method based on natural heterogeneous features is given out. First, the feature points are detected using Harris feature detector and the feature line segments are detected using Hough Transfer, then the one to one matching points and lines could be obtained through rough match,then the points feature and the parameters of lines is used to match refinely, finally, the image registration could be achieved through the homography matrix calculated by matching corner points and the parameters of line segments.
An accurate, high‐throughput method for genotyping the −373AnTn polymorphism in the interleukin‐6 promoter

Interleukin‐6 (IL‐6) is a pro‐inflammatory cytokine implicated in inflammatory diseases. The four promoter polymorphisms (−174G/C, −373AnTn, −572G/C, −597G/A) have been shown to function as a haplotype in determining IL‐6 gene transcription. Using a capillary‐based electrophoresis system, high‐throughput genotyping for the −373AnTn polymorphism was achieved, thus facilitating IL‐6 promoter haplotype determination.
Pilomatrix carcinoma: an immunohistochemical comparison with benign pilomatrixoma and other benign cutaneous lesions of pilar origin

Two new cases of pilomatrix carcinoma are reported. They were studied immunohistochemically for the presence of high and low‐molecular weight cytokeratins, beta‐2‐microglobulin, S‐100 protein, carcinoembryonic antigen, epithelial membrane anligen, blood group isoantigens, and peanut agglutinin binding. Results of these studies were compared with those obtained in immunohistologic analysis of 13 typical pilomatrixomas, and 4 other benign lesions with hair follicle differentiation. An attempt was made to correlate antigine expression with malignant transformation; however, there were no consistent differences between the 2 groups. It would seem that immunocytochemistry is of no assistance in differential diagnosis between benign and malignant hair matrical tumors. Hence, the pathologist must rely on morphological criteria alone to make a diagnosis of pilomatrix carcinoma.
Variable-length input Huffman coding for system-on-a-chip test

This paper presents a new compression method for embedded core-based system-on-a-chip test. In addition to the new compression method, this paper analyzes the three test data compression environment (TDCE) parameters: compression ratio, area overhead, and test application time, and explains the impact of the factors which influence these three parameters. The proposed method is based on a new variable-length input Huffman coding scheme, which proves to be the key element that determines all the factors that influence the TDCE parameters. Extensive experimental comparisons show that, when compared with three previous approaches, which reduce some test data compression environment's parameters at the expense of the others, the proposed method is capable of improving on all the three TDCE parameters simultaneously.
Performance Evaluation of Reconfigurable Processor for SDR Mobile Terminals and SDR Base Station using Autonomous Adaptive Control Technology

It is expected that software defined radio (SDR) technology that can access multiple wireless communication systems will be applied to mobile terminals and base stations as a beyond 3G wireless system. An SDR wideband mobile terminal must be capable of high-speed data processing and low power consumption. To evaluate the performance of reconfigurable processors for SDR wideband mobile terminals, we developed software that runs on a reconfigurable processor for the IEEE 802.11a wireless LAN baseband part, and evaluated the performance of the reconfigurable processor. Moreover, we describe the system design of the new SDR base station, which uses autonomous adaptive control technology. We evaluated the characteristic performance through computer simulations, and confirmed its efficiency
A Web Services based Approach for Resource-Constrained Wireless Sensor Networks

The large diffusion of Wireless Sensor Networks (WSNs) in our contemporary life with their numerous applications has led to a huge heterogeneity. This heterogeneity makes the possibility of discovering and collecting data from the wireless sensors more and more difficult. Indeed, WSNs are currently developed around different communities of sensor and user types, with each community typically relying on its own system, metadata semantics, data format and software. Therefore, the ability to discover and utilize a new sensor asset is typically hindered by incompatible services and encodings which can cause interoperability between different sensor nodes within the same WSN. Service-Oriented-Architecture (SOA) is one of the key paradigms that enables the deployment of services at large-scale over the Internet domain and its integration with WSNs could open new pathways for novel applications and research. Despite the need to integrate SOA with WSNs, only handful efforts are underway to achieve the goal. In this paper, we tackle integration of SOA with WSNs by proposing a Lightweight Representational State Transfer (REST)-based Web Services approach to treat sensors in an interoperable, platform-independent and uniform way.
Bottleneck Conditional Density Estimators

We propose a neural network framework for highdimensional conditional density estimation. The Bottleneck Conditional Density Estimator (BCDE) is a variant of the conditional variational autoencoder (CVAE) that employs layer(s) of stochastic variables as the bottleneck between the input x and target y, where both are high-dimensional. The key to effectively train BCDEs is the hybrid blending of the conditional generative model with a joint generative model that leverages unlabeled data to regularize the conditional model. We show that the BCDE significantly outperforms the CVAE in MNIST quadrant prediction benchmarks in the fully supervised case and establishes new benchmarks in the semi-supervised case.