Miracle-dz/UniFAR-FTUs huggingface dataset:
Cytolytic mechanisms of activated macrophages. Tumor necrosis factor and L-arginine-dependent mechanisms act synergistically as the major cytolytic mechanisms of activated macrophages.

We examined the cytolytic mechanisms of activated macrophages by using proteose peptone- or thioglycollate broth-induced mouse peritoneal macrophages or mouse macrophage hybridomas as effector cells, L.P3 cells, a clone of L929 cells, and P815 cells as target cells, and IFN-gamma and LPS as activators. It was determined that TNF is the main cytolytic molecule against L.P3 cells from the following results: 1) activated macrophages can produce TNF; 2) TNF shows cytotoxic activity against L.P3 cells; 3) the addition of anti-TNF antibody inhibited most of the cytolytic activity of activated macrophages against L.P3 cells. On the other hand, it was concluded that the main cytolytic mechanism against P815 cells is the production of NO2-/NO3- from L-arginine, from the following results: 1) activated macrophages can produce NO2-; 2) NaNO2 shows high cytotoxic activity against P815 cells; 3) the depletion of L-arginine from the medium inhibited most of the cytolytic activity of activated macrophages against P815 cells and NO2- production by activated macrophages. In this study, however, cytostatic effects of L-arginine-dependent effector mechanism were not studied. Thus, these results show that activated macrophages can express at least two cytolytic mechanisms independently, namely, the one that appears to be mediated by the L-arginine-dependent effector mechanism and the second that appears to be mediated directly by TNF. Furthermore, it was demonstrated that TNF and L-arginine-dependent NO2- production act synergistically as killing mechanisms of activated macrophages. These mechanisms can explain the cytolytic activity of activated macrophages against a variety of target cells.
Multi-Softcore Architecture on FPGA

To meet the high performance demands of embedded multimedia applications, embedded systems are integrating multiple processing units. However, they are mostly based on custom-logic design methodology. Designing parallel multicore systems using available standards intellectual properties yet maintaining high performance is also a challenging issue. Softcore processors and field programmable gate arrays (FPGAs) are a cheap and fast option to develop and test such systems. This paper describes a FPGA-based design methodology to implement a rapid prototype of parametric multicore systems. A study of the viability of making the SoC using the NIOS II soft-processor core from Altera is also presented. The NIOS II features a general-purpose RISC CPU architecture designed to address a wide range of applications. The performance of the implemented architecture is discussed, and also some parallel applications are used for testing speedup and efficiency of the system. Experimental results demonstrate the performance of the proposed multicore system, which achieves better speedup than the GPU (29.5% faster for the FIR filter and 23.6% faster for the matrix-matrix multiplication).
Comparison of Long‐Term Clinical Outcomes of Lesions Exhibiting Focal and Segmental Peri‐Stent Contrast Staining

Background Peri‐stent contrast staining (PSS) after metallic drug‐eluting stent deployment is associated with target lesion revascularization and very late stent thrombosis. However, the type of PSS that influences the clinical outcomes is unknown. Therefore, we aimed to reveal which PSS type was influencing clinical outcomes. Methods and Results This study included 5580 de novo lesions of 4405 patients who were implanted with a first‐ or second‐generation drug‐eluting stent and who were evaluated using follow‐up angiography within 12 months after stent implantation. We compared the clinical outcomes of patients divided into focal PSS and segmental PSS groups for 6 years after stent implantation. Total PSS was observed in 97 lesions (2.2%), of which 42 and 55 lesions were focal and segmental PSS, respectively. Baseline characteristics were similar between groups, except for intraoperative chronic total occlusion (segmental PSS=47.3% versus focal PSS=11.9%, P=0.0001). The incidence of segmental PSS tended to be higher in patients with a first‐generation drug‐eluting stent (83.6% versus 16.4%, P=0.05). The cumulative incidence of stent thrombosis in the 6 years of segmental PSS group was significantly higher than that of the focal PSS group (13.9% versus 0%, P=0.04). The cumulative incidence of overall target lesion revascularization for restenosis, excluding target lesion revascularization procedures for stent thrombosis, was significantly higher in the segmental PSS group (38.0% versus 0%, P=0.01). Conclusions The incidence of segmental PSS tended to be higher in patients with a first‐generation drug‐eluting stent and appeared to be significantly associated with target lesion revascularization and stent thrombosis.
Incremental Maintenance of Data Warehouses Based on Past Temporal Logic Operators

We see a temporal data warehouse as a set of temporal views defined in the past frag- ment of the temporal relational algebra extended with set-valued attributes and aggregation. This paper proposes an incremental maintenance method for temporal views that allows improvements over the re-computation from scratch. We introduce a formalism for temporal data warehouse specification that summarizes information needed for its incremental maintenance. According to this formalism, a temporal data warehouse W is a pair of two sets of views: the materialized component and the virtual component. The materialized component of W represents the set of views physically stored in the warehouse. The virtual component of W is a set of non-temporal expressions involving only relations kept in the materialized component. Several features of our approach make it especially attractive as a maintenance method for warehouses: (a) there is no need for storing the entire history of source databases, (b) maintenance of the temporal data warehouse is reduced to maintaining the (non-temporal) materialized component, and (c) the materialized component is self-maintainable. We build a uniform algorithm by combining two previously unrelated techniques based on auxiliary views. Our method is sufficiently general so that it can be easily adapted to treating databases with complex-valued attributes.
Competency-based medical education: theory to practice

Although competency-based medical education (CBME) has attracted renewed interest in recent years among educators and policy-makers in the health care professions, there is little agreement on many aspects of this paradigm. We convened a unique partnership – the International CBME Collaborators – to examine conceptual issues and current debates in CBME. We engaged in a multi-stage group process and held a consensus conference with the aim of reviewing the scholarly literature of competency-based medical education, identifying controversies in need of clarification, proposing definitions and concepts that could be useful to educators across many jurisdictions, and exploring future directions for this approach to preparing health professionals. In this paper, we describe the evolution of CBME from the outcomes movement in the 20th century to a renewed approach that, focused on accountability and curricular outcomes and organized around competencies, promotes greater learner-centredness and de-emphasizes time-based curricular design. In this paradigm, competence and related terms are redefined to emphasize their multi-dimensional, dynamic, developmental, and contextual nature. CBME therefore has significant implications for the planning of medical curricula and will have an important impact in reshaping the enterprise of medical education. We elaborate on this emerging CBME approach and its related concepts, and invite medical educators everywhere to enter into further dialogue about the promise and the potential perils of competency-based medical curricula for the 21st century.
Parsing video events with goal inference and intent prediction

In this paper, we present an event parsing algorithm based on Stochastic Context Sensitive Grammar (SCSG) for understanding events, inferring the goal of agents, and predicting their plausible intended actions. The SCSG represents the hierarchical compositions of events and the temporal relations between the sub-events. The alphabets of the SCSG are atomic actions which are defined by the poses of agents and their interactions with objects in the scene. The temporal relations are used to distinguish events with similar structures, interpolate missing portions of events, and are learned from the training data. In comparison with existing methods, our paper makes the following contributions. i) We define atomic actions by a set of relations based on the fluents of agents and their interactions with objects in the scene. ii) Our algorithm handles events insertion and multi-agent events, keeps all possible interpretations of the video to preserve the ambiguities, and achieves the globally optimal parsing solution in a Bayesian framework; iii) The algorithm infers the goal of the agents and predicts their intents by a top-down process; iv) The algorithm improves the detection of atomic actions by event contexts. We show satisfactory results of event recognition and atomic action detection on the data set we captured which contains 12 event categories in both indoor and outdoor videos.
Predictive schemes for handoff prioritization in cellular networks based on mobile positioning

We propose and evaluate new schemes for channel reservation motivated by the rapidly evolving technology of mobile positioning. The schemes, called predictive channel reservation (PCR), work by sending reservation requests to neighboring cells based on extrapolating the motion of mobile stations (MSs). A number of design enhancements are incorporated to minimize the effect of false reservations and to improve the throughput of the cellular system. These enhancements include: (1) reservation pooling; (2) queuing of reservation requests; (3) hybrid approach for integrating guard channels (GCs); and (4) using a threshold distance (TD) to control the timing of reservation requests. The design enhancements have produced a set of highly efficient schemes that achieve significant reduction in handoff blocking rates while only incurring remarkably small increases in the new call blocking rates. The PCR approach has also been used to solve the MINBLOCK optimization problem and has given significant improvement over the fractional guard channel (FGC) protocol. Detailed performance results of the different variations of the PCR scheme and comparisons with conventional channel reservation schemes are presented. An analytical Markov model for the hybrid predictive version of the scheme is developed and its applicability and numerical results are discussed.
Incremental deployment and migration of geo-distributed situation awareness applications in the fog

Geo-distributed Situation Awareness applications are large in scale and are characterized by 24/7 data generation from mobile and stationary sensors (such as cameras and GPS devices); latency-sensitivity for converting sensed data to actionable knowledge; and elastic and bursty needs for computational resources. Fog computing [7] envisions providing computational resources close to the edge of the network, consequently reducing the latency for the sense-process-actuate cycle that exists in these applications. We propose Foglets, a programming infrastructure for the geo-distributed computational continuum represented by fog nodes and the cloud. Foglets provides APIs for a spatio-temporal data abstraction for storing and retrieving application generated data on the local nodes, and primitives for communication among the resources in the computational continuum. Foglets manages the application components on the Fog nodes. Algorithms are presented for launching application components and handling the migration of these components between Fog nodes, based on the mobility pattern of the sensors and the dynamic computational needs of the application. Evaluation results are presented for a Fog network consisting of 16 nodes using a simulated vehicular network as the workload. We show that the discovery and deployment protocol can be executed in 0.93 secs, and joining an already deployed application can be as quick as 65 ms. Also, QoS-sensitive proactive migration can be accomplished in 6 ms.
Attenuated Levels of Hippocampal Connexin 43 and its Phosphorylation Correlate with Antidepressant- and Anxiolytic-Like Activities in Mice

Clinical and preclinical studies have implicated glial anomalies in major depression. Conversely, evidence suggests that the activity of antidepressant drugs is based, at least in part, on their ability to stimulate density and/or activity of astrocytes, a major glial cell population. Despite this recent evidence, little is known about the mechanism(s) by which astrocytes regulate emotionality. Glial cells communicate with each other through gap junction channels (GJCs), while they can also directly interact with neurons by releasing gliotransmitters in the extracellular compartment via an hemichannels (HCs)-dependent process. Both GJCs and HCs are formed by two main protein subunits: connexins (Cx) 30 and 43 (Cx30 and Cx43). Here we investigate the role of hippocampal Cx43 in the regulation of depression-like symptoms using genetic and pharmacological approaches. The first aim of this study was to evaluate the impact of the constitutive knock-down of Cx43 on a set of behaviors known to be affected in depression. Conversely, the expression of Cx43 was assessed in the hippocampus of mice subjected to prolonged corticosterone (CORT) exposure, given either alone or in combination with an antidepressant drug, the selective serotonin reuptake inhibitor fluoxetine. Our results indicate that the constitutive deficiency of Cx43 resulted in the expression of some characteristic hallmarks of antidepressant-/anxiolytic-like behavioral activities along with an improvement of cognitive performances. Moreover, in a new cohort of wild-type mice, we showed that CORT exposure elicited anxiety and depression-like abnormalities that were reversed by chronic administration of fluoxetine. Remarkably, CORT also increased hippocampal amounts of phosphorylated form of Cx43 whereas fluoxetine treatment normalized this parameter. From these results, we envision that antidepressant drugs may exert their therapeutic activity by decreasing the expression and/or activity of Cx43 resulting from a lower level of phosphorylation in the hippocampus.
Myocardin Induces Cardiomyocyte Hypertrophy

In response to stress signals, postnatal cardiomyocytes undergo hypertrophic growth accompanied by activation of a fetal gene program, assembly of sarcomeres, and cellular enlargement. We show that hypertrophic signals stimulate the expression and transcriptional activity of myocardin, a cardiac and smooth muscle–specific coactivator of serum response factor (SRF). Consistent with a role for myocardin as a transducer of hypertrophic signals, forced expression of myocardin in cardiomyocytes is sufficient to substitute for hypertrophic signals and induce cardiomyocyte hypertrophy and the fetal cardiac gene program. Conversely, a dominant-negative mutant form of myocardin, which retains the ability to associate with SRF but is defective in transcriptional activation, blocks cardiomyocyte hypertrophy induced by hypertrophic agonists such as phenylephrine and leukemia inhibitory factor. Myocardin-dependent hypertrophy can also be partially repressed by histone deacetylase 5, a transcriptional repressor of myocardin. These findings identify myocardin as a nuclear effector of hypertrophic signaling pathways that couples stress signals to a transcriptional program for postnatal cardiac growth and remodeling.
Cerebral White Matter Integrity and Resting-State Functional Connectivity in Middle-aged Patients With Type 2 Diabetes

Early detection of brain abnormalities at the preclinical stage can be useful for developing preventive interventions to abate cognitive decline. We examined whether middle-aged type 2 diabetic patients show reduced white matter integrity in fiber tracts important for cognition and whether this abnormality is related to preestablished altered resting-state functional connectivity in the default mode network (DMN). Diabetic and nondiabetic participants underwent diffusion tensor imaging, functional magnetic resonance imaging, and cognitive assessment. Multiple diffusion measures were calculated using streamline tractography, and correlations with DMN functional connectivity were determined. Diabetic patients showed lower fractional anisotropy (FA) (a measure of white matter integrity) in the cingulum bundle and uncinate fasciculus. Control subjects showed stronger functional connectivity than patients between the posterior cingulate and both left fusiform and medial frontal gyri. FA of the cingulum bundle was correlated with functional connectivity between the posterior cingulate and medial frontal gyrus for combined groups. Thus, middle-aged patients with type 2 diabetes show white matter abnormalities that correlate with disrupted functional connectivity in the DMN, suggesting that common mechanisms may underlie structural and functional connectivity. Detecting brain abnormalities in middle age enables implementation of therapies to slow progression of neuropathology.
Cardiac demands of heavy snow shoveling.

OBJECTIVE To assess the physiologic responses to manual (shoveling) vs automated (electric snow thrower) snow removal in healthy, untrained men. DESIGN Observational, controlled trial. SETTING A community-based, acute care, teaching-research hospital. PARTICIPANTS A volunteer sample of 10 apparently healthy untrained men (mean +/- SD age = 32.4 +/- 2.1 years) met all eligibility criteria and completed the study. INTERVENTION Each subject cleared two 10 +/- 2-cm-high, 15-m-long tracts of heavy, wet snow in the cold (2 degrees C), using self-paced manual and automated methods, in random order, with 10- to 15-minute rest periods between each 10-minute bout of work. MAIN OUTCOME MEASURES Heart rate, blood pressure, oxygen uptake, and perceived exertion during snow removal were compared with values obtained during maximal arm-ergometer and treadmill tests. RESULTS Mean heart rate during shoveling was 154 and 173 beats per minute at 2 and 10 minutes, respectively, corresponding to 86% and 97% of maximal heart rate. Relative heart rate (percentage of maximal heart rate) during shoveling was inversely related to aerobic fitness (r = -0.65; P = .05). The highest heart rate and perceived exertion responses during shoveling, arm-ergometer, and treadmill testing were comparable. Systolic blood pressure during snow shoveling (198 +/- 17 mm Hg) was significantly greater (P < .003) than during arm ergometry or automated snow removal and slightly greater than during maximal treadmill testing (181 +/- 25 mm Hg). Oxygen uptake during shoveling was similar to that for arm ergometry (5.7 vs 6.3 metabolic equivalents), but lower than for treadmill testing (9.3 metabolic equivalents). Cardiorespiratory and perceived exertion responses were reduced during automated snow removal. CONCLUSION Heavy snow shoveling elicits myocardial and aerobic demands that rival maximal treadmill and arm-ergometer testing in sedentary men. These responses may contribute to cardiovascular events reported after heavy snowfalls.
Practical polynomial factoring in polynomial time

State of the art factoring in Q[x] is dominated in theory by a combinatorial reconstruction problem while, excluding some rare polynomials, performance tends to be dominated by Hensel lifting. We present an algorithm which gives a practical improvement (less Hensel lifting) for these more common polynomials. In addition, factoring has suffered from a 25 year complexity gap because the best implementations are much faster in practice than their complexity bounds. We illustrate that this complexity gap can be closed by providing an implementation which is comparable to the best current implementations and for which competitive complexity results can be proved.
A new species of Rhinatrema Duméril & Bibron (Amphibia: Gymnophiona: Rhinatrematidae) from Guyana

The first new species of rhinatrematid caecilian in more than 50 years, Rhinatrema shiv sp. nov., is described from Guyana. The type series of 10 specimens differs from the only other species in the genus, R. bivittatum, in having a longer tail, different colour pattern, more acuminate and relatively shorter head, and in several features of the skull and mandible including dentition. Sequence data for 1572 aligned base pairs of mitochondrial DNA are > 15% different between the two species. Rhinatrema shiv is known only from Guyana, and R. bivittatum from French Guiana and far northeastern Brazil. The only reported specimen of the genus from Suriname is not clearly referable to either of the named species.
Application of Mobile Learning System in Phonetics Teaching

Phonetics is an essential part of foreign language learning. With the help of mobile communication technologies, mobile learning has developed into a new mode of learning. This paper investigates the effectiveness of mobile learning system on phonetics teaching. Fourteen-week experiment proves combining mobile learning with classroom phonetics teaching has enhanced students' phonetic awareness and effectively improved their pronunciation level. The questionnaire reveals first-year students lack a sufficient knowledge on mobile learning; teachers' instruction and supervision are needed before and during the activities.
Nitrogen Sources for Bean Seed Production

Beans (Phase()las valgtais L. ) often respond to N fertilization; however, N fertilization is not practiced for maximum seed production in southern Idaho. This suggests that the symbiotic relationship and/or soil N sources can provide most of the N needed by this legume. Our objective was to evaluate the relative contribution of the symbiotic-nonsymbiotic N sources by studying the effects of N fertilization on the symbiotic N. fixation and seed yields under field conditions. Experiments were conducted on silt loam soils belonging to the Portneuf series (Xerollic Calciortnids). An acetylene reduction (AR) method was used to determine the effect of N fertilization treatments on the relative seasonal N, (AR) fixation. The symbiotic N, fixation was also estimated by the equation, N. = N„„ — (N, + N„, N.) — aN. , where N„, is the accumulated N uptake measured near physiological maturity, N, and N,, are the amounts of soil NO,-N in the root zone before planting and near physiological maturity, N„ is the N mineralized from soil organic N sources, and a is the recovery of the N fertilizer (N,) applied. Estimates of the N fertilizer recoveries were obtained from two experiments using 15 N-depleted (NH4), SO,. The symbiotic N, relationship contributed up to 90 kg N/ha, which was 40 to 50% of the total N found in bean plants near physiological maturity. The amount of symbiotic N. fixed decreased as the available soil N or fertilizer N increased, and increased as the N required by the individual cultivars increased. The response to N fertilization depended upon the cultivar, as well as on the N_available from soil sources. Measured fertilizer N recoveries ranged from 7 to 33%. An average of 52% of the total N uptake near physiological maturity was taken up after the maximum symbiotic NAAR) rate occurred; while the seed contained an average of 60% of the total N uptake. A low N fertilization rate (< 50 kg Nilia) when the soil N, was low (<50 kg N/ha) ensured an early vi us plant growth but did not always increase seed yields. Higher N fertilization rates may be required on soils with lower amounts of mineralizable N.