Miracle-dz/UniFAR-FTUs huggingface dataset:
JcDREB2, a Physic Nut AP2/ERF Gene, Alters Plant Growth and Salinity Stress Responses in Transgenic Rice

Transcription factors of the AP2/ERF family play important roles in plant growth, development, and responses to biotic and abiotic stresses. In this study, a physic nut AP2/ERF gene, JcDREB2, was functionally characterized. Real-time PCR analysis revealed that JcDREB2 was expressed mainly in the leaf and could be induced by abscisic acid but suppressed by gibberellin (GA) and salt. Transient expression of a JcDREB2-YFP fusion protein in Arabidopsis protoplasts cells suggested that JcDREB2 is localized in the nucleus. Rice plants overexpressing JcDREB2 exhibited dwarf and GA-deficient phenotypes with shorter shoots and roots than those of wild-type plants. The dwarfism phenotype could be rescued by the application of exogenous GA3. The expression levels of GA biosynthetic genes including OsGA20ox1, OsGA20ox2, OsGA20ox4, OsGA3ox2, OsCPS1, OsKO2, and OsKAO were significantly reduced in plants overexpressing JcDREB2. Overexpression of JcDREB2 in rice increased sensitivity to salt stress. Increases in the expression levels of several salt-tolerance-related genes in response to salt stress were impaired in JcDREB2-overexpressing plants. These results demonstrated not only that JcDREB2 influences GA metabolism, but also that it can participate in the regulation of the salt stress response in rice.
Altered neural connectivity in excitatory and inhibitory cortical circuits in autism

Converging evidence from diverse studies suggests that atypical brain connectivity in autism affects in distinct ways short- and long-range cortical pathways, disrupting neural communication and the balance of excitation and inhibition. This hypothesis is based mostly on functional non-invasive studies that show atypical synchronization and connectivity patterns between cortical areas in children and adults with autism. Indirect methods to study the course and integrity of major brain pathways at low resolution show changes in fractional anisotropy (FA) or diffusivity of the white matter in autism. Findings in post-mortem brains of adults with autism provide evidence of changes in the fine structure of axons below prefrontal cortices, which communicate over short- or long-range pathways with other cortices and subcortical structures. Here we focus on evidence of cellular and axon features that likely underlie the changes in short- and long-range communication in autism. We review recent findings of changes in the shape, thickness, and volume of brain areas, cytoarchitecture, neuronal morphology, cellular elements, and structural and neurochemical features of individual axons in the white matter, where pathology is evident even in gross images. We relate cellular and molecular features to imaging and genetic studies that highlight a variety of polymorphisms and epigenetic factors that primarily affect neurite growth and synapse formation and function in autism. We report preliminary findings of changes in autism in the ratio of distinct types of inhibitory neurons in prefrontal cortex, known to shape network dynamics and the balance of excitation and inhibition. Finally we present a model that synthesizes diverse findings by relating them to developmental events, with a goal to identify common processes that perturb development in autism and affect neural communication, reflected in altered patterns of attention, social interactions, and language.
Just Do It: Action-Dependent Learning Allows Sensory Prediction

Sensory-motor learning is commonly considered as a mapping process, whereby sensory information is transformed into the motor commands that drive actions. However, this directional mapping, from inputs to outputs, is part of a loop; sensory stimuli cause actions and vice versa. Here, we explore whether actions affect the understanding of the sensory input that they cause. Using a visuo-motor task in humans, we demonstrate two types of learning-related behavioral effects. Stimulus-dependent effects reflect stimulus-response learning, while action-dependent effects reflect a distinct learning component, allowing the brain to predict the forthcoming sensory outcome of actions. Together, the stimulus-dependent and the action-dependent learning components allow the brain to construct a complete internal representation of the sensory-motor loop.
Use of Single-Subject Research Designs in Therapeutic Recreation.

Single-subject research designs can be used to examine effects of therapeutic recreation (TR). Use of these research designs can allow practitioners to contribute to the knowledge base of TR. Single-subject research designs can enhance program evaluation while examining individuals in applied settings. With single-subject research designs, only a few cases are examined, with repeated measures of interventions systematically applied to each individual. Results are graphically displayed and inferences about relationships between variables are determined by visual examination. Each individual, who serves as his or her control, is exposed to each experimental condition. A rationale for using single-subject research designs is presented followed by a description of the method. The way single-subject research designs address the positivistic research requirements of validity and reliability is also described. The method of data analysis is presented followed by graphic presentations and examples of single-subject research designs used to answer questions concerning TR.
HE4 as a serum biomarker for ROMA prediction and prognosis of epithelial ovarian cancer.

BACKGROUND AND PURPOSE Human epididymis protein 4 (HE4) has been suggested to be a novel biomarker of epithelial ovarian cancer (EOC). The present study aimed to evaluate and compare HE4 with the commonly used marker, carbohydrate antigen 125 (CA125), in prediction and therapy-monitoring of EOC. PATIENTS AND METHODS Serum HE4 concentrations from 123 ovarian cancer patients and 174 controls were measured by Roche electrochemiluminescent immunoassay (ECLIA). Risk of ovarian malignancy algorithm (ROMA) values were calculated and assessed. In addition, the prospects of HE4 detection for therapy-monitoring were evaluated in EOC patients. RESULTS The ROMA score could classify patients into high- and low-risk groups with malignancy. Indeed, lower serum HE4 was significantly associated with successful surgical therapy. Specifically, 38 patients with EOC exhibited a greater decline of HE4 compared with CA125. In contrast, elevation of HE4 better predicted recurrence (of 46, 11 patients developed recurrence, and with it increased HE4 serum concentrations) and a poor prognosis than CA125. CONCLUSIONS This study suggests that serum HE4 levels are closely associated with outcome of surgical therapy and disease prognosis in Chinese EOC patients.
Scalable race detection for Android applications

We present a complete end-to-end dynamic analysis system for finding data races in mobile Android applications. The capabilities of our system significantly exceed the state of the art: our system can analyze real-world application interactions in minutes rather than hours, finds errors inherently beyond the reach of existing approaches, while still (critically) reporting very few false positives. Our system is based on three key concepts: (i) a thorough happens-before model of Android-specific concurrency, (ii) a scalable analysis algorithm for efficiently building and querying the happens-before graph, and (iii) an effective set of domain-specific filters that reduce the number of reported data races by several orders of magnitude. We evaluated the usability and performance of our system on 354 real-world Android applications (e.g., Facebook). Our system analyzes a minute of end-user interaction with the application in about 24 seconds, while current approaches take hours to complete. Inspecting the results for 8 large open-source applications revealed 15 harmful bugs of diverse kinds. Some of the bugs we reported were confirmed and fixed by developers.
Isolated hip and ankle fatigue are unlikely risk factors for anterior cruciate ligament injury

Lower extremity neuromuscular fatigue purportedly increases anterior cruciate ligament (ACL) injury risk through promotion of extreme landing mechanics. However, the impact of fatigue on muscle groups critical to the landing strategy remains unclear. This study examined the effects of isolated hip rotator and triceps surae fatigue on lower extremity landing biomechanics. Sixteen healthy females (18–22 years) reported for testing on two occasions, with one muscle group fatigued per session. Subjects performed three single‐leg landings onto a force platform pre‐ and post‐fatigue, defined as an 80% decrease in peak torque in the targeted muscle group. Hip rotator fatigue was induced via alternating concentric contractions and triceps surae fatigue through concentric plantar flexion contractions on an isokinetic dynamometer. Initial contact (IC) kinematics and peak stance (PS) kinetics and kinematics were analyzed pre‐ and post‐fatigue. Hip rotator fatigue increased IC (P=0.05) and PS (P=0.04) hip internal rotation angles. Triceps surae fatigue decreased IC knee flexion (P=0.01) angle. Isolated hip rotator and triceps surae fatigue each produced modifications in lower limb kinematic parameters viewed as risk factors for ACL injury. These modifications, however, do not appear of sufficient magnitude to compromise ligament integrity, suggesting injury via an integrative lower extremity fatigue mechanism is more likely.
A Convex Model for Linguistic Influence in Group Conversations

Conversational partners can influence each other’s speaking patterns. In this paper, we aim to develop a computational model that infers influence levels directly from language samples. We propose a new approach to modeling linguistic influence in conversations based on a well-accepted model of social influence. Very generally, this approach assumes that an individual’s language model can be expressed as a convex combination of language models from individuals with whom that person interacts. We propose an optimization criterion to estimate the pairwise influence between conversational partners directly from speech and language data. We evaluate the model on three different corpora: (1) a synthetic corpus where the language influence is experimentally set; (2) a corpus that tracks a child’s interaction with her family during the early stages of language development; (3) a corpus of Supreme Court cases analyzing interactions between judges and attorneys.
Magnetic resonance imaging pattern of bone marrow involvement as a new predictive parameter of disease progression in newly diagnosed patients with multiple myeloma eligible for autologous stem cell transplantation

We investigated the prognostic value of the magnetic resonance imaging (MRI) pattern of bone marrow involvement in patients with multiple myeloma (MM) eligible for autologous stem cell transplantation (ASCT). 126 patients with untreated MM indicated for ASCT underwent spine MRI and cytogenetic analysis at diagnosis. All patients received ASCT after induction therapy of VAD (vincristine, doxorubicin, dexamethasone; n = 55) or a thalidomide‐based regimen (TCD; n = 71). Thalidomide maintenance therapy was performed in 68 patients. The MRI pattern was normal in 27, focal in 47, and diffuse/variegated in 52 patients. Patients with the diffuse/variegated pattern showed significantly higher stage (P = 0·038), higher β‐2 microglobulin level (P = 0·001) and severe anaemia (P = 0·015). However, the cytogenetics were not different among the MRI patterns (P = 0·890). Progression‐free survival (PFS) was lower in the diffuse/variegated pattern (P = 0·002) than other patterns, but not overall survival (OS) (P = 0·058). Thalidomide maintenance therapy was correlated only with PFS (P = 0·001). High‐risk cytogenetics were associated with both poorer PFS (P < 0·001) and OS (P = 0·003). In a multivariate analysis, the diffuse/variegated MRI pattern was an independent predictor of disease progression (Hazard Ratio, 1·922; 95% confidence interval, 1·185–3·118; P = 0·008). The diffuse/variegated MRI pattern is a novel prognostic factor for disease progression in MM patients eligible for ASCT.
European hydroxyethyl starch: a safe and inexpensive alternative to albumin.

addition, they monitored BP noninvasively and heart rate was not paced, while the level of surgical stimulus was constantly changing. Their patients had their operations 23-28 mo previously, which might be an important factor. The benefit of cardiomyoplasty may derive from late fibrosis preventing further cardiac dilation (5,7), although skeletal muscle contraction may be a more important factor in the maintenance of BP prior to the development of fibrosis (as in the case presented herein). In conclusion, in contrast to previous reports, this case suggests that nondepolarizing muscle relaxants should be used with caution in aortocardiomyoplasty, at least within 3-4 mo of the operation. Other experience also suggests that depolarizing agents, which cause muscle fasciculation, should probably be avoided in these patients (8).
Biofilm and Nanowire Production Leads to Increased Current in Geobacter sulfurreducens Fuel Cells

ABSTRACT Geobacter sulfurreducens developed highly structured, multilayer biofilms on the anode surface of a microbial fuel cell converting acetate to electricity. Cells at a distance from the anode remained viable, and there was no decrease in the efficiency of current production as the thickness of the biofilm increased. Genetic studies demonstrated that efficient electron transfer through the biofilm required the presence of electrically conductive pili. These pili may represent an electronic network permeating the biofilm that can promote long-range electrical transfer in an energy-efficient manner, increasing electricity production more than 10-fold.
Introduction to Many-Facet Rasch Measurement: Analyzing and Evaluating Rater-Mediated Assessments

Contents: Conceptual-psychometric framework for rater-mediated performance assessments - Foundations of many-facet Rasch measurement - Measurement of rater severity/leniency - Correcting examinee proficiency estimates for rater severity differences - Examining rater consistency and rating scale effectiveness - Increasing validity and fairness of performance assessments.
Adaptive modulation induced WDM impairment reduction in optical OFDM PONs

The transmission performance of multi-channel adaptively modulated optical OFDM (AMOOFDM) signals is numerically investigated, for the first time, in optical amplification- and chromatic dispersion compensation-free, intensity-modulation and direct-detection systems incorporating directly modulated DFB lasers (DMLs). It is shown that adaptive modulation not only reduces significantly the nonlinear WDM impairments induced by the effects of cross-phase modulation and four-wave mixing, but also compensates effectively for the DML-induced frequency chirp effect. In comparison with identical modulation, adaptive modulation improves the maximum achievable signal transmission capacity of a central channel by a factor of 1.3 and 3.6 for 40km and 80km SMFs, respectively, with corresponding dynamic input optical power ranges being extended by approximately 5dB. In addition, adaptive modulation also enables cross-channel complementary modulation format mapping, leading to an improved transmission capacity of the entire WDM system.
Dopamine activates two different receptors to produce variability in sign at an identified synapse.

Chemical synaptic transmission was investigated at a central synapse between identified neurons in the freshwater snail, Lymnaea stagnalis. The presynaptic neuron was the dopaminergic cell, Right Pedal Dorsal one (RPeD1). The postsynaptic neuron was Visceral Dorsal four (VD4). These neurons are components of the respiratory central pattern generator. The synapse from RPeD1 to VD4 showed variability of sign, i.e., it was either inhibitory (monophasic and hyperpolarizing), biphasic (depolarizing followed by hyperpolarizing phases), or undetectable. Both the inhibitory and biphasic synapse were eliminated by low Ca2+/high Mg2+ saline and maintained in high Ca2+/high Mg2+ saline, indicating that these two types of connections were chemical and monosynaptic. The latency of the inhibitory postsynaptic potential (IPSP) in high Ca2+/high Mg2+ saline was approximately 43 ms, whereas the biphasic postsynaptic potential (BPSP) had approximately 12-ms latency in either normal or high Ca2+/high Mg2+ saline. For a given preparation, when dopamine was pressured applied to the soma of VD4, it always elicited the same response as the synaptic input from RPeD1. Thus, for a VD4 neuron receiving an IPSP from RPeD1, pressure application of dopamine to the soma of VD4 produced an inhibitory response similar to the IPSP. The reversal potentials of the IPSP and the inhibitory dopamine response were both approximately -90 mV. For a VD4 neuron with a biphasic input from RPeD1, pressure-applied dopamine produced a biphasic response similar to the BPSP. The reversal potentials of the depolarizing phase of the BPSP and the biphasic dopamine response were both approximately -44 mV, whereas the reversal potentials for the hyperpolarizing phases were both approximately -90 mV. The hyperpolarizing but not the depolarizing phase of the BPSP and the biphasic dopamine response was blocked by the D-2 dopaminergic antagonist (+/-) sulpiride. Previously, our laboratory demonstrated that both IPSP and the inhibitory dopamine response are blocked by (+/-) sulpiride. Conversely, the depolarizing phase of both the BPSP and the biphasic dopamine response was blocked by the Cl- channel antagonist picrotoxin. Finally, both phases of the BPSP and the biphasic dopamine response were desensitized by continuous bath application of dopamine. These results indicate that the biphasic RPeD1 --> VD4 synapse is dopaminergic. Collectively, these data suggest that the variability in sign (inhibitory vs. biphasic) at the RPeD1 --> VD4 synapse is due to activation of two different dopamine receptors on the postsynaptic neuron VD4. This demonstrates that two populations of receptors can produce two different forms of transmission, i.e., the inhibitory and biphasic forms of the single RPeD1 --> VD4 synapse.
Physical handles at the interactive surface: exploring tangibility and its benefits

In this paper we investigate tangible interaction on interactive tabletops. These afford the support and integration of physical artefacts for the manipulation of digital media. To inform the design of interfaces for interactive surfaces we think it is necessary to deeply understand the benefits of employing such physical handles, i.e., the benefits of employing a third spatial dimension at the point of interaction. To this end we conducted an experimental study by designing and comparing two versions of an interactive tool on a tabletop display, one with a physical 3D handle, and one purely graphical (but direct touch enabled). Whilst hypothesizing that the 3D version would provide a number of benefits, our observations revealed that users developed diverse interaction approaches and attitudes about hybrid and direct touch interaction.
The Transition from Acute to Chronic Post Surgical Pain

All chronic pain was once acute, but not all acute pain becomes chronic. The transition of acute postoperative pain to chronic post surgical pain is a complex and poorly understood developmental process. The manuscript describes the various factors associated with the transition from acute to chronic pain. The preoperative, intraoperative and postoperative surgical, psychosocial, socio-environmental and patient-related factors and the mechanisms involved are discussed and preventive (or limitation) strategies are suggested. In future, the increasing understanding of genetic factors and the transitional mechanisms involved may reveal important clues to predict which patients will go on to develop chronic pain. This may assist the development of appropriate interventions affecting not only the individual concerned, but also ultimately the community at large.
Time-Varying Gaussian Process Bandit Optimization

We consider the sequential Bayesian optimization problem with bandit feedback, adopting a formulation that allows for the reward function to vary with time. We model the reward function using a Gaussian process whose evolution obeys a simple Markov model. We introduce two natural extensions of the classical Gaussian process upper confidence bound (GP-UCB) algorithm. The first, R-GP-UCB, resets GP-UCB at regular intervals. The second, TV-GP-UCB, instead forgets about old data in a smooth fashion. Our main contribution comprises of novel regret bounds for these algorithms, providing an explicit characterization of the trade-off between the time horizon and the rate at which the function varies. We illustrate the performance of the algorithms on both synthetic and real data, and we find the gradual forgetting of TV-GP-UCB to perform favorably compared to the sharp resetting of R-GP-UCB. Moreover, both algorithms significantly outperform classical GP-UCB, since it treats stale and fresh data equally.
Habitat selection in whiting

Given a choice of habitats in a laboratory experiment, whiting Merlangius merlangus preferentially spent most time over sand, then gravel and least time over a habitat with emergent structures. The introduction of a predator stimulus increased the preference for the sand habitat for large whiting, whereas small whiting had an increased preference for the habitat with emergent structures.
Task Division for Team Success in Crowdsourcing Contests: Resource Allocation and Alignment Effects

Abstract Advances in information technology bring changes to the nature of work by facilitating companies to go beyond the wisdom of their workforce and tap into the “wisdom of the crowd” via online crowdsourcing contests. In these contests, active and motivated individuals collaborate in the form of self-organized teams that compete for rewards. Using a rich data set of 732 teams in 52 contests collected from the crowdsourcing platform, Kaggle.com, from its launch in April 2010 to July 2012, we studied how the allocation of members’ social and intellectual capital within a virtual team affects team performance in online crowdsourcing contests. Our econometric analysis uses a rank-ordered logistic regression model, and suggests that the effect of a member’s social and intellectual capital on team performance varies depending on his or her roles. Though a team leader’s social capital and a team expert’s intellectual capital significantly influence team performance, a team leader’s intellectual capital and a team expert’s social capital do not. Further, we found that the alignment of a member’s social and intellectual capital within a team has a significant influence on team performance. Moreover, the intensity of the competition moderates the impact. When a contest is highly competitive, the social and intellectual capital alignment negatively affects team performance, and when the competitive intensity is low, this alignment positively affects team performance. Our findings provide insights into improving performance in team-based competitions in crowdsourcing communities.