Miracle-dz/UniFAR-FTUs huggingface dataset:
Active Labor Market Policies to Expand Employment and Opportunity

All advanced industrial nations appear to be experiencing a jobs problem. There simply appear to be too few decent employment opportunities to go around. This difficulty manifests itself somewhat differently in different countries. But no Organization for Economic Cooperation and Development (OECD) nation appears to have been able to fully escape rising wage inequality (sometimes coupled with declining real earnings for. low-wage workers), weak employment growth combined with secular increases in unemployment, or both of these phenomena.
Presence of the Panton-Valentine Leukocidin Genes in Methicillin-Resistant Staphylococcus aureus Is Associated with Severity and Clinical Outcome of Hospital-Acquired Pneumonia in a Single Center Study in China

The Panton-Valentine leukocidin (PVL) genes of methicillin-resistant Staphylococcus aureus (MRSA) have previously been associated with severe infections. Here, the impact of the PVL genes on severity of disease and clinical outcome of patients with hospital-acquired pneumonia (HAP) or ventilator-associated pneumonia (VAP) due to MRSA was investigated in a single center observational study in a hospital in China. HAP due to MRSA was diagnosed in 100 patients and 13 of the patients were PVL positive, while VAP was diagnosed in 5 patients and 2 were PVL positive. The PVL positive patient group showed a significantly higher Acute Physiology and Chronic Health Evaluation (APACHE) II score (14.3 ±7.8 vs. 10.1 ±4.7, P = 0.005) and significantly more patients with CRP levels >80 mg/L (8/15 vs. 12/90, P = 0.006) or WBC counts >15x109/L (7/15 vs. 12/90, P = 0.006), indicating that the severity of disease is affected by the presence of the PVL genes. The outcome of the study was defined by 30-day mortality. Four (27%) of the PVL positive patients and four (4%) of the PVL negative patients died within 30 days (P = 0.01, Fisher exact test). Kaplan-Meier survival curves were generated for the PVL positive and PVL negative patient groups, which differed significantly (P = 0.003). Among the patients that died, the mean interval between diagnosis and death was shorter for the PVL positive patients (9.3 ±5.6 vs. 40.8 ±6.6 days, P = 0.013). Further analysis within the HAP and VAP patient groups showed that the presence of PVL in MRSA impacted the severity of disease and clinical outcome of HAP, but for VAP the number of patients included in the study was too low. In conclusion, in this single center study in a Chinese hospital the presence of the PVL genes in MRSA impacted the severity of disease and clinical outcome in patients with HAP due to MRSA.
Development and Validation of an Automated High-Throughput System for Zebrafish In Vivo Screenings

The zebrafish is a vertebrate model compatible with the paradigms of drug discovery. The small size and transparency of zebrafish embryos make them amenable for the automation necessary in high-throughput screenings. We have developed an automated high-throughput platform for in vivo chemical screenings on zebrafish embryos that includes automated methods for embryo dispensation, compound delivery, incubation, imaging and analysis of the results. At present, two different assays to detect cardiotoxic compounds and angiogenesis inhibitors can be automatically run in the platform, showing the versatility of the system. A validation of these two assays with known positive and negative compounds, as well as a screening for the detection of unknown anti-angiogenic compounds, have been successfully carried out in the system developed. We present a totally automated platform that allows for high-throughput screenings in a vertebrate organism.
The Signed k-Domination Numbers In Graphs

For any integer k ≥ 1, a signed (total) k-dominating function is a function f : V (G) → {−1, 1} satisfying w∈N [v] f(w) ≥ k ( P w∈N(v) f(w) ≥ k) for every v ∈ V (G), where N(v) = {u ∈ V (G)|uv ∈ E(G)} and N [v] = N(v)∪{v}. The minimum of the values ofv∈V (G) f(v), taken over all signed (total) k-dominating functions f, is called the signed (total) k-domination number and is denoted by γkS(G) (γ t kS(G), resp. ). In this paper, several sharp lower bounds of these numbers for general graphs are presented.
Low Connexin Channel-Dependent Intercellular Communication in Human Adult Hematopoietic Progenitor/Stem Cells: Probing Mechanisms of Autologous Stem Cell Therapy

Abstract Human bone marrow is a clinical source of autologous progenitor stem cells showing promise for cardiac repair following ischemic insult. Functional improvements following delivery of adult bone marrow CD34+ cells into heart tissue may require metabolic/electrical communication between participating cells. Since connexin43 (Cx43) channels are implicated in cardiogenesis and provide intercellular connectivity in the heart, the authors analyzed the expression of 20 connexins (Cx) in CD34+ cells and in monocytes and granulocytes in bone marrow and spinal cord. Reverse transcriptase–polymerase chain reaction (RT-PCR) detected only low expression of Cx43 and Cx37. Very low level dye coupling was detected by flow cytometry between CD34+ cells and other Cx43 expressing cells, including HL-1 cardiac cells, and was not inhibited by specific gap junction inhibitors. The results indicate that CD34+ cells are unlikely to communicate via gap junctions and the authors conclude that use of CD34+ cells to repair damaged hearts is unlikely to involve gap junctions. The results concur with the hypothesis that bone marrow cells elicit improved cardiac function through release of undefined paracrine mediators.
Cognitive neuroscience of aphasia recovery and therapy

It is slightly over 40 years since cognitive neuroscience arrived on the research stage. This novel field revolutionised our concepts regarding the neural basis of cognition, including the processes underlying normal language processing, their breakdown in neurological patients (including aphasia) and their amelioration in the course of recovery, and it has advanced our knowledge ever since. Initially, language and recovery were solely explained with respect to cognitive models of processing, which built the basis for the assessment of impaired and preserved language components, the prediction of language behaviours over time, and the planning of speech and language therapy. With more recent advances in neuroimaging techniques, explanations have become increasingly embedded within neuroscience frameworks. However, even though brain science has immensely widened our understanding of aphasia and its recovery beyond the purely cognitive view, by itself it cannot comprehensibly explain the respective phenomena and still relies on behavioural data and cognitive terms. Indeed, it seems likely that a partnership between cognitive and brain sciences will always be needed. The same holds for therapy-induced recovery in aphasia, which is the specific focus of this Special Issue. The ultimate neuroscience model of aphasia therapy will need to encapsulate a variety of mechanisms and factors. These will include the influence of individual patient characteristics, the operation of recovery mechanisms, basic learning principles, the influence of strategies, as well as factors relating to the method, target, and intensity of speech and language therapy. In a recent review on functional imaging studies, Crinion and Leff (2015) concluded that the greatest potential for progress lies within the consideration of questions regarding the complex neural network architecture that subserves both language and cognitive processes. In concert with a better understanding of the mechanisms underlying recovery and therapy, future insights might offer the opportunity to identify the individual behavioural and brain characteristics that are indicative of the course of recovery and predictive of the response to therapy. This combination would allow neuroscience data to explain impairments and therapy effects, and it would also inform individual speech and language therapy, thereby guiding interventions and enhancing patient benefit. Despite considerable success, many questions still await further examination before these goals are reached, and the papers presented in this Special Issue address some of the crucial and unresolved open issues in the cognitive neuroscience of aphasia recovery and therapy. For the Special Issue, we welcomed a variety of neuroimaging techniques (functional and structural imaging, neuro-stimulation methods), study designs (single case or group studies), explanatory approaches (e.g., more cognitively or neuroscientifically driven, but with both being involved), therapy approaches (e.g., melodic intonation APHASIOLOGY, 2018 VOL. 32, NO. 7, 739–741 https://doi.org/10.1080/02687038.2018. 1447643
Predicting Sphaeropsis sapinea Damage in Pinus radiata Canopies Using Spectral Indices and Spectral Mixture Analysis

Maintaining the health and condition of the forest plantation estate is critical to ensuring there are no adverse losses in productivity. Within Australian Pinus radiata plantations a diverse range of damaging agents are present. One significant agent is a fungal pathogen Sphaeropsis sapinea. In this research, we detail the development of relationships between a range of individual crown health attributes representing symptoms of Sphaeropsis sapinea infection and high spatial and spectral resolution remotely sensed imagery characteristics. To do this, two methods were used; the first utilized vegetation spectral indices including simple and normalized difference ratios, and the second, linear spectral mixture analysis. Results indicate that spectral indices that utilize either chlorophyll absorption wavelengths at 680 nm with a non-chlorophyll region of the spectrum (such as 710 or 750 nm) or the slope of the upper red-edge between 710 and 740 nm were most significantly related to individual crown damage attributes. Linear unmixing analysis consistently extracted four fraction endmember images (sunlit canopy, soil, shadow, and non-photosynthetic vegetation (NPV)) from the 12 channel imagery. Multiple linear stepwise regression models developed using mixed fractional abundances provided similar results to those derived using spectral indices. The NPV and shadow endmembers, in order, were consistently identified as the most significant in these developed models.
Computational Discovery of Novel Low Micromolar Human Pregnane X Receptor Antagonists

Very few antagonists have been identified for the human pregnane X receptor (PXR). These molecules may be of use for modulating the effects of therapeutic drugs, which are potent agonists for this receptor (e.g., some anticancer compounds and macrolide antibiotics), with subsequent effects on transcriptional regulation of xenobiotic metabolism and transporter genes. A recent novel pharmacophore for PXR antagonists was developed using three azoles and consisted of two hydrogen bond acceptor regions and two hydrophobic features. This pharmacophore also suggested an overall small binding site that was identified on the outer surface of the receptor at the AF-2 site and validated by docking studies. Using computational approaches to search libraries of known drugs or commercially available molecules is preferred over random screening. We have now described several new smaller antagonists of PXR discovered with the antagonist pharmacophore with in vitro activity in the low micromolar range [S-p-tolyl 3′,5-dimethyl-3,5′-biisoxazole-4′-carbothioate (SPB03255) (IC50, 6.3 μM) and 4-(3-chlorophenyl)-5-(2,4-dichlorobenzylthio)-4H-1,2,4-triazol-3-ol (SPB00574) (IC50, 24.8 μM)]. We have also used our computational pharmacophore and docking tools to suggest that most of the known PXR antagonists, such as coumestrol and sulforaphane, could also interact on the outer surface of PXR at the AF-2 domain. The involvement of this domain was also suggested by further site-directed mutagenesis work. We have additionally described an FDA approved prodrug, leflunomide (IC50, 6.8 μM), that seems to be a PXR antagonist in vitro. These observations are important for predicting whether further molecules may interact with PXR as antagonists in vivo with potential therapeutic applications.
Testosterone measurement by isotope-dilution liquid chromatography-tandem mass spectrometry: validation of a method for routine clinical practice.

BACKGROUND Immunoassay is unsatisfactory for measuring the testosterone concentrations typically found in women. Bench-top tandem mass spectrometers are a viable alternative technology for measurements in the clinical laboratory. METHODS We used stable-isotope dilution liquid chromatography-tandem mass spectrometry (ID/LC-MS/MS) to measure testosterone in plasma and serum. The sample volume was 50 muL in duplicate; preparation and analysis were carried out in a single tube, and a batch of 192 tubes was analyzed in 17.5 h. RESULTS Intra- and interassay imprecision was <15% in the range 0.3-49 nmol/L. Recovery of testosterone added to samples at concentrations of 0.625-20 nmol/L was 96% (CV = 12%; n = 26). Six samples were serially diluted with double charcoal-stripped serum to demonstrate linearity. Correlation (r(2)) with isotope-dilution gas chromatography-mass spectrometry for 20 pools of clinical samples (range, 0.5-38.5 nmol/L) was 0.99. Correlations with our extraction RIA were 0.97 for clinical samples from men (range, 8-46.3 nmol/L) and 0.66 for samples from women (range, 0.7-3.0 nmol/L), but were 0.35 for male samples containing <3 nmol/L testosterone and 0.77 for female samples containing >8 nmol/L. Various steroids added to double charcoal-stripped serum showed no interference at the retention time of the testosterone peak. CONCLUSIONS The ID/LC-MS/MS method has improved accuracy compared with immunoassay. The low sample volume and simplicity, rapidity, and robustness of the method make it suitable for use as a high-throughput assay in routine clinical biochemistry laboratories.
AMP-Activated Protein Kinase Plays an Important Evolutionary Conserved Role in the Regulation of Glucose Metabolism in Fish Skeletal Muscle Cells

AMPK, a master metabolic switch, mediates the observed increase of glucose uptake in locomotory muscle of mammals during exercise. AMPK is activated by changes in the intracellular AMP∶ATP ratio when ATP consumption is stimulated by contractile activity but also by AICAR and metformin, compounds that increase glucose transport in mammalian muscle cells. However, the possible role of AMPK in the regulation of glucose metabolism in skeletal muscle has not been investigated in other vertebrates, including fish. In this study, we investigated the effects of AMPK activators on glucose uptake, AMPK activity, cell surface levels of trout GLUT4 and expression of GLUT1 and GLUT4 as well as the expression of enzymes regulating glucose disposal and PGC1α in trout myotubes derived from a primary muscle cell culture. We show that AICAR and metformin significantly stimulated glucose uptake (1.6 and 1.3 fold, respectively) and that Compound C completely abrogated the stimulatory effects of the AMPK activators on glucose uptake. The combination of insulin and AMPK activators did not result in additive nor synergistic effects on glucose uptake. Moreover, exposure of trout myotubes to AICAR and metformin resulted in an increase in AMPK activity (3.8 and 3 fold, respectively). We also provide evidence suggesting that stimulation of glucose uptake by AMPK activators in trout myotubes may take place, at least in part, by increasing the cell surface and mRNA levels of trout GLUT4. Finally, AICAR increased the mRNA levels of genes involved in glucose disposal (hexokinase, 6-phosphofructokinase, pyruvate kinase and citrate synthase) and mitochondrial biogenesis (PGC-1α) and did not affect glycogen content or glycogen synthase mRNA levels in trout myotubes. Therefore, we provide evidence, for the first time in non-mammalian vertebrates, suggesting a potentially important role of AMPK in stimulating glucose uptake and utilization in the skeletal muscle of fish.
Commoning mobility: Towards a new politics of mobility transitions

Scholars have argued that transitions to more sustainable and just mobilities require moving beyond technocentrism to rethink the very meaning of mobility in cities, communities, and societies. This paper demonstrates that such rethinking is inherently political. In particular, we focus on recent theorisations of commoning practices that have gained traction in geographic literatures. Drawing on our global comparative research of low‐carbon mobility transitions, we argue that critical mobilities scholars can rethink and expand the understanding of mobility through engagement with commons–enclosure thinking. We present a new concept, “commoning mobility,” a theorisation that both envisions and shapes practices that develop fairer and greener mobilities and more inclusive, collaboratively governed societies. Our analysis introduces three “logics” of mobility transition projects. First, the paper discusses how a logic of scarcity has been a driver for mobility planning as the scarcity of oil, finance, space, and time are invoked across the world as stimuli for aspiring to greener, “smarter,” and cheaper mobilities. The paper then identifies two responses to the logic of scarcity: the logics of austerity and the logics of commoning. Austere mobilities are examined to problematise the distribution of responsibility for emissions and ensuing injustices and exclusion in low‐carbon transitions. The logics of commoning shows a potential to reassess mobility not only as an individual freedom but also as a collective good, paving the way for fairer mobility transitions and a collaborative tackling of sustainable mobility challenges.
Inferring Phytoplankton, Terrestrial Plant and Bacteria Bulk δ¹³C Values from Compound Specific Analyses of Lipids and Fatty Acids

Stable isotope mixing models in aquatic ecology require δ13C values for food web end members such as phytoplankton and bacteria, however it is rarely possible to measure these directly. Hence there is a critical need for improved methods for estimating the δ13C ratios of phytoplankton, bacteria and terrestrial detritus from within mixed seston. We determined the δ13C values of lipids, phospholipids and biomarker fatty acids and used these to calculate isotopic differences compared to the whole-cell δ13C values for eight phytoplankton classes, five bacterial taxa, and three types of terrestrial organic matter (two trees and one grass). The lipid content was higher amongst the phytoplankton (9.5±4.0%) than bacteria (7.3±0.8%) or terrestrial matter (3.9±1.7%). Our measurements revealed that the δ13C values of lipids followed phylogenetic classification among phytoplankton (78.2% of variance was explained by class), bacteria and terrestrial matter, and there was a strong correlation between the δ13C values of total lipids, phospholipids and individual fatty acids. Amongst the phytoplankton, the isotopic difference between biomarker fatty acids and bulk biomass averaged -10.7±1.1‰ for Chlorophyceae and Cyanophyceae, and -6.1±1.7‰ for Cryptophyceae, Chrysophyceae and Diatomophyceae. For heterotrophic bacteria and for type I and type II methane-oxidizing bacteria our results showed a -1.3±1.3‰, -8.0±4.4‰, and -3.4±1.4‰ δ13C difference, respectively, between biomarker fatty acids and bulk biomass. For terrestrial matter the isotopic difference averaged -6.6±1.2‰. Based on these results, the δ13C values of total lipids and biomarker fatty acids can be used to determine the δ13C values of bulk phytoplankton, bacteria or terrestrial matter with ± 1.4‰ uncertainty (i.e., the pooled SD of the isotopic difference for all samples). We conclude that when compound-specific stable isotope analyses become more widely available, the determination of δ13C values for selected biomarker fatty acids coupled with established isotopic differences, offers a promising way to determine taxa-specific bulk δ13C values for the phytoplankton, bacteria, and terrestrial detritus embedded within mixed seston.
AUDITORY DISPLAY OF SOUND SOURCE DISTANCE

Although the majority of research on spatial sound reproduction has concentrated on the directional components of source location, it is clear that full 3-dimensional rendering also requires an understanding of how to reproduce sound source distance. This article reviews and describes recent psychophysical research on distance perception of sound sources, with emphasis on how various acoustical and nonacoustical factors contribute to perceived distance. Results from this research have important implications for distance simulation and reproduction in spatial auditory displays.
Particle filter based outdoor robot localization using natural features extracted from laser scanners

In this paper we present a new approach for natural feature extraction using a laser scanner for the purpose of localization in outdoor environments. In semi-structured outdoor environments, naturally predominant features such as trees and edges are considered. The proposed method applies a batch processing which carries out feature extraction after measurements from a full scan are received. The algorithm consists of data segmentation and parameter acquisition. A modified Gauss-Newton method is proposed for fitting circle parameters iteratively. The natural features extracted through this approach are more robust than those obtained by existing methods. In order to reduce the estimation error caused by the linearization in the extended Kalman filtering (EKF), a particle filter is applied to realize the prediction and validation by integrating data from both the laser range sensor and encoder in outdoor environments. The proposed feature extraction and localization algorithms are verified in a real world experiment.
Double Standards or Social Identity? The Role of Gender and Ethnicity in Ability Perceptions in the Classroom

This study aims at disentangling the effects of status generalization and social identity processes on ability perceptions among early adolescents. Double standards theory predicts that people use different standards for making inferences about others’ abilities based on social status. Social identity processes, however, imply that people evaluate in-group members more positively than out-group members. We analyze cross-sectional dyadic peer nomination data from 21 primary school classes in Hungary (N = 392, X ¯ age = 13 years) with exponential random graph models. Next to ethnic self-identification, we use dyadic ethnic perceptions as a novel way of measuring ethnicity in the analysis. Our findings are mostly in line with social identity theory: Students are more likely to nominate in-group peers as clever compared with classmates from the out-group, in terms of both gender and ethnicity. Nonetheless, ethnic and gender biases in ability perceptions differ in some important ways.
Towards an Abstract Domain for Resource Analysis of Logic Programs Using Sized Types

We present a novel general resource analysis for logic programs based on sized types.Sized types are representations that incorporate structural (shape) information and allow expressing both lower and upper bounds on the size of a set of terms and their subterms at any position and depth. They also allow relating the sizes of terms and subterms occurring at different argument positions in logic predicates. Using these sized types, the resource analysis can infer both lower and upper bounds on the resources used by all the procedures in a program as functions on input term (and subterm) sizes, overcoming limitations of existing analyses and enhancing their precision. Our new resource analysis has been developed within the abstract interpretation framework, as an extension of the sized types abstract domain, and has been integrated into the Ciao preprocessor, CiaoPP. The abstract domain operations are integrated with the setting up and solving of recurrence equations for both, inferring size and resource usage functions. We show that the analysis is an improvement over the previous resource analysis present in CiaoPP and compares well in power to state of the art systems.