Miracle-dz/UniFAR-FTUs huggingface dataset:
Eight-year prospective follow-up of mentalization-based treatment versus structured clinical management for people with borderline personality disorder.

Participants (n = 134) treated in a randomized controlled trial with mentalization-based treatment (MBT) compared with structured clinical management were followed up for 8 years after starting treatment in terms of the initial primary outcome of the trial-namely, suicide attempts, self-harm, and hospitalization-as well as service use and functional outcomes. Patients in the study group were interviewed by research assistants who remained masked to the original group allocation. Interviews were scheduled annually. Of the original participants, 98 (73%) agreed to participate. Overall, the beneficial outcomes at the end of treatment were maintained in both groups. Over the follow-up period, the number of patients who continued to meet the primary recovery criteria was significantly higher in the MBT group (74% vs. 51%). Use of most other services was comparable. Participants treated with MBT showed better functional outcomes in terms of being more likely to be engaged in purposeful activity and reporting less use of professional support services and social care interventions. (PsycInfo Database Record (c) 2020 APA, all rights reserved).
Adaptive notch filter under indirect and direct current controls for active power filter

This study presents the implementation of adaptive notch filter (ANF) as reference signal extraction for shunt active power filter (APF) in indirect current control (ICC) and direct current control (DCC) modes for three phase system. The ANF functions to filter the signal that inputted to it by producing a fundamental signal and harmonics signal. The advantage of applying the ANF algorithm is based on its simple design that giving the ANF advantages to be utilize in microcontroller. The performance of the ANF is validated though MATLAB simulation in ICC dan DCC configurations. Based on the simulation results, the ANF is capable to work efficiently for both ICC and DCC modes, but in term of efficiency, the ICC mode is clearly showing a better harmonics mitigation result. Base on the result also it shown that the ANF is capable of mitigate the harmonics below the standard required by the IEEE 519-92. The application of ANF is useful to be applied due to its simple design and filtering method.
In vitro selection of sorghum ( Sorghum bicolor (L) Moench) for polyethylene glycol (PEG) induced drought stress

Drought is one of the main environmental factors affecting growth and yield of sorghum in arid and semi-arid areas of the world. In vitro selection of Sorghum bicolor for drought tolerance was undertaken by the use of somaclonal variation. The experiment was carried out with a collection of sixteen sorghum genotypes and tested in a completely randomized design. Data were recorded at five different PEG 6000 (polyethylene glycol) levels (0, 0.5, 1.0, 1.5, 2.0% (w/v) treatments)) on coleoptile length (CL), root length (RL), shoot dry weight (SDW), root dry weight (RDW), root number (RN) and statistically analyzed for significant differences. Significant differences were observed among the genotypes, treatments and their interactions for the evaluated plant traits suggesting a great amount of variability for drought tolerance in sorghum. In general, embryogenic callus induction and plantlet regeneration was found to be indirectly proportional to increased PEG concentrations. By taking into consideration all the measured traits, Mann Whitney rank sum test revealed that 76T1#23 and Teshale followed by Gambella-1107 and Melkam showed better drought stress tolerance while Chelenko appeared to be drought sensitive.
Use of the chemical cleavage of mismatch method for prenatal deficiency diagnosis of alpha‐1‐antitrypsin

The most common mutation in alpha‐1‐antitrypsin deficiency, conversion of a G to an A at base 9989 (PI‐Z), was detected with the chemical cleavage of mismatch method, demonstrating the power of the method for prenatal diagnosis. Exon V of the gene was amplified using the polymerase chain reaction and heteroduplexes were formed to test for the presence of the mutation. The predicted C mismatch was readily detectable with hydroxylamine, and by making the probe from the chorionic villus sample it was possible to determine that the fetus was heterozygous, not homozygous, for the mutation.
Using multiple data sources provides density estimates for endangered Florida panther

Summary To assess recovery of endangered species, reliable information on the size and density of the target population is required. In practice, however, this information has proved hard to acquire, especially for large carnivores that exist at low densities, are cryptic and range widely. Many large carnivore species such as the endangered Florida panther Puma concolor coryi lack clear visual features for individual identification; thus, using standard approaches for estimating population size, such as camera-trapping and capture–recapture modelling, has so far not been possible. We developed a spatial capture–recapture model that requires only a portion of the individuals in the population to be identifiable, using data from two 9-month camera-trapping surveys conducted within the core range of panthers in southwestern Florida. Identity of three radio-collared individuals was known, and we incorporated their telemetry location data into the model to improve parameter estimates. The resulting density estimates of 1·51 (±0·81) and 1·46 (±0·76) Florida panthers per 100 km2 for each year are the first estimates for this endangered subspecies and are consistent with estimates for other puma subspecies. A simulation study showed that estimates of density may exhibit some positive bias but coverage of the true values by 95% credible intervals was nominal. Synthesis and applications. This approach provides a framework for monitoring the Florida panther – and other species without conspicuous markings – while fully accounting for imperfect detection and varying sampling effort, issues of fundamental importance in the monitoring of wildlife populations.
Going it alone: Competition increases the attractiveness of minority status

Abstract Past research demonstrates that people prefer to affiliate with others who resemble them demographically. However, we posit that when competing for scarce opportunities, strategic considerations moderate the strength of this tendency toward homophily. Across six experiments, we find that anticipated competition weakens people’s desire to join groups that include similar others. When expecting to compete against fellow group members, women are more willing to join all-male groups and Black participants are more willing to join all-White groups than in the absence of competition. We show that this effect is mediated by the belief that being distinct will lead your performance to stand out. Our findings offer a new perspective to enrich past research on homophily, shedding light on the instances when minorities are more likely to join groups in which they will be underrepresented.
THE POLLUTION INDEX AND CARRYING CAPACITY OF THE UPSTREAM BRANTAS RIVER

River is one of the surface water resources that is often polluted by various human activities. With its dynamic characteristics, a river must be periodically examined to determine its water quality. This study aims to investigate the carrying capacity of the Brantas river in East Java, Indonesia. The observation was done by measuring TSS (Total suspended solid), TDS (Total dissolved solid), and oil and grease in the upstream zone of the Brantas river. This research used a descriptive method. The determination of the research stations was based on the condition of the watershed and its surroundings, assuming that there was a decrease in water quality. The sampling points include Pendem Bridge (1), DAM (local water company) Sengkaling (2), Simpang Remujung Bridge (3), and Samaan District (4). The results demonstrated that the upstream Brantas river at each sampling point had different pollution levels. Generally, the sampling point 1 (Pendem Bridge) was the cleanest zone compared to other sampling points. On the other hand, sampling point 4 (Samaan District) was the most polluted site of the upstream zone. Based on the quality standards of class III water (PP No. 82 Year 2001), it was noticeable that the upstream Brantas river was mildly polluted based on the TSS parameter. However, it was not polluted when referring to the TDS parameter and heavily polluted based on the oil and grease parameter. Regarding the carrying capacity, the upstream Brantas river at the sampling point 4 (Samaan District) has exceeded the capacity of the river for self-purification.
DETECTION OF MILKFAT ADULTERATION BY GC ANALYSIS OF SATURATED, CIS-MONOENOIC AND CIS,CIS-DIENOIC FATTY ACID FRACTIONS ISOLATED BY SILVER ION TLC

Analytical silver ion thin-layer chromatography (Ag-TLC-densitometry) procedure for rapid assessment of the authenticity of questionable milkfat samples preliminarily converted to fatty acid (FAs) esters is proposed. On the basis of quantitative analysis of the fatty acid classes, grouped according to the number and geometry of the double bonds, the levels of trans-monoenoic (Mt) and cis,cis-dienoic (Dcc) fatty acids are used as preliminary markers of authenticity. Then, each of the isolated by preparative Ag-TLC saturated (S), cis-monoenoic (Mc) and cis,cis-dienoic (Dcc) fractions of butter samples were subjected to GLC analysis of the component fatty acids. Analysis of the S fraction confirms milkfat authenticity by presence of short-chain fatty acids and branched-chained fatty acids with an odd number of carbon atoms. From the GLC data on the Mc fraction, possible adulteration can be confirmed on the basis of the enhanced oleic acid content at the expense of the level of short-chain cis-monoenoic acids FAs. From the GLC data on the minor Dc,c fraction, milkfat nonauthenticity can be most explicitly confirmed on the basis of the enhanced (up to 99%) content of cis,cis-9,12-18:2 (linoleic) acid at the expense of absence of minor dienoic FAs as well as of positional isomers of linoleic acid.
Tunon, a new genus of Protelaterini (Elateridae: Lissominae) from southern Chile

Abstract Tunon gen. nov., a new genus of Protelaterini from southern Chile is here described and illustrated with one species Tunon guinezi sp. nov. Its relationships with other members of the Protelaterini such as the Chilean genera Anaspasis Candèze 1881 and Valdivelater Lawrence & Arias 2009 are discussed.
Biochemical systematics of some species of Lactarius section Dapetes

ABSTRACT Specimens from several Italian populations ascribable to nine taxa of the section Dapetes of the genus Lactarius (Russulales, Basidiomycota) were subjected to electrophoretical analysis of the gene-enzyme systems from eleven loci. Results show that the four taxa characterised by carrot-red latex (Lactarius deliciosus complex) are genetically well separated, whereas the five taxa with vinaceous-red latex (L. sanguifluus complex) fall into two groups. Accordingly, only one of the two conflicting conceptions of Lactarius vinosus present in the literature may be regarded as a good species while the other, which is genetically identical, has to be considered as a morphological form of L. sanguifluus.
Impact of Chaoborus flavicans ‐Predation on the Zooplankton in a Mesotrophic Lake – a Three Year Study

The predatory impact of Chaoborus flavicans on zooplankton, especially on daphniids, is often regarded as a crucial factor in the propagation or repeal of top-down effects in lakes. Therefore consumption rates and prey selectivity of C. flavicans were determined in mesotrophic Lake Groser Vatersee, where cladocerans were the dominant zooplankton prey and the predatory impact of fish towards C. flavicans and cladocerans was low. Two generations of the main predatory instar IV of C. flavicans appeared in the pelagial, the first in autumn and the second in spring after having over wintered in the sediment. In discrepancy to the abundances, only the autumn generation showed high peaks of consumption. C. flavicans fed preferentially on medium-sized cladocerans, but mostly disregarded daphniids and rotifers. Copepods were only selected when cladocerans were not present. The highest losses due to Chaoborus predation were found in Bosmina longirostris, Bosmina coregoni and Chydorus sphaericus. There was no evidence that the predatory impact of C. flavicans on daphniids substantially influenced lower trophic levels. (© 2011 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim)
Online Multi-User Workflow Scheduling Algorithm for Fairness and Energy Optimization

This article tackles the problem of scheduling multiuser scientific workflows with unpredictable random arrivals and uncertain task execution times in a Cloud environment from the Cloud provider point of view. The solution consists in a deadline sensitive online algorithm, named NearDeadline, that optimizes two metrics: the energy consumption and the fairness between users. Scheduling workflows in a private Cloud environment is a difficult optimization problem as capacity constraints must be fulfilled additionally to dependencies constraints between tasks of the workflows. Furthermore, NearDeadline is built upon a new workflow execution platform. As far as we know no existing work tries to combine both energy consumption and fairness metrics in their optimization problem. The experiments conducted on a real infrastructure (clusters of Grid’5000) demonstrate that the NearDeadline algorithm offers real benefits in reducing energy consumption, and enhancing user fairness.
Comparison of performance on different host plants between the B biotype and a non‐B biotype of Bemisia tabaci from Zhejiang, China

The capacity of the B biotype of the whitefly, Bemisia tabaci (Gennadius) (Homoptera: Aleyrodidae), to invade has often been linked to its presumably wider host range than the non‐B indigenous biotypes. However, there are few experimental studies of the relative performance of the B biotype and non‐B biotypes on different host‐plant species. Here, we compared the performance of the B biotype and an indigenous non‐B biotype (China‐ZHJ‐1) of B. tabaci from Zhejiang, China on five commonly cultivated host plants, each from a different family: cotton, tobacco, cabbage, squash, and kidney bean. We also examined the effect of rearing host plants on the performance of the B biotype. Overall, the performance of the B biotype on the five species of plants was much better than that of the indigenous non‐B population. On tobacco, cabbage, and kidney bean, no individuals of ZHJ‐1 completed development to adulthood, whereas the B biotype developed successfully from egg to adult on all three plants. On squash, the B biotype survived better, developed to adulthood earlier and had a higher fecundity than ZHJ‐1. The two biotypes performed more equally on cotton, but even on this plant the B biotype female adults lived nearly twice as long as that of ZHJ‐1 and may have realized a higher life‐time fecundity. The B biotype also showed a substantial capacity to acclimatize to alternative host plants for improved survival and reproduction, on both highly suitable and marginally suitable host plants. We conclude that the host range of the B biotype of B. tabaci may be much wider than those of some indigenous biotypes, and this advantage of the B biotype over the non‐B biotypes may assist in its invasion and displacement of some indigenous biotypes in the field.
Differential Accumulation of CsARF5 Protein during Peg Formation in Cucumber Seedlings

When cucumber (Cucumis sativus L.) seeds germinate in a horizontal position, seedlings develop a specialized protuberance (or peg) on the lower side of the transition zone between the hypocotyl and the root. Gravistimulation induces asymmetric auxin distribution and auxin-inducible gene expression, so that peg formation is suppressed on the upper side of the transition zone. However, we know little of transcriptional regulation of auxin-inducible genes in the transition zone. We demonstrated that Auxin Response Factor 5 (CsARF5) protein functions as a transcriptional repressor of auxin-inducible gene in protoplasts. Our immunoblot analysis suggested that CsARF5 protein is more abundant on the upper side that suppressed peg formation than on the lower side that induced peg formation in the transition zone. When collar-like pegs were induced by exogenous application of auxin to intact seedlings, accumulation of CsARF5 protein decreased substantially. By contrast, exogenous auxin application to segments of the transition zone neither induced collar-like pegs nor decreased CsARF5 proteins. These results suggested that less auxin suppresses peg formation and then indirectly induces accumulation of CsARF5 protein to ensure repression of transcription of auxin-inducible genes. ©2010 Jpn. Soc. Biol. Sci. Space; Article ID: 102403013
Modeling of Dirac voltage for highly p-doped graphene field-effect transistor measured at atmospheric pressure

In this paper, the modeling approach of Dirac voltage extraction from highly p-doped graphene field-effect transistor (GFET) measured at atmospheric pressure is presented. The difference of measurement results between atmospheric and vacuum pressures was analyzed. This work was started with actual wafer-scale fabrication of GFET with the purposes of getting functional device and good contact of metal/graphene interface. The output and transfer characteristic curves were measured accordingly to support on GFET functionality and suitability of presented wafer fabrication flow. The Dirac voltage was derived based on the measured output characteristic curve using ambipolar virtual source model parameter extraction methodology. The circuit-level simulation using frequency doubler circuit shows the important of accurate Dirac voltage value to the device practicality towards design integration.
Finite frequency H∞ control for wind turbine systems in T-S form

In this work, we study H ∞ control wind turbine fuzzy model for finite frequency(FF) interval. Less conservative results are obtained by using Finsler’s lemma technique, generalized Kalman Yakubovich Popov (gKYP), linear matrix inequality (LMI) approach and added several separate parameters, these conditions are given in terms of LMI which can be efficiently solved numerically for the problem that such fuzzy systems are admissible with H∞ disturbance attenuation level. The FF H∞ performance approach allows the state feedback command in a specific interval, the simulation example is given to validate our results.
Evolving to learn: discovering interpretable plasticity rules for spiking networks

Continuous adaptation allows survival in an ever-changing world. Adjustments in the synaptic coupling strength between neurons are essential for this capability, setting us apart from simpler, hard-wired organisms. How these adjustments come about is essential both for understanding biological information processing and for developing cognitively performant artificial systems. We suggest an automated approach for discovering biophysically plausible plasticity rules based on the definition of task families, associated performance measures and biophysical constraints. This approach makes the relative weighting of guiding factors explicit, explores large search spaces, encourages diverse sets of hypotheses, and can discover domain-specific solutions. By evolving compact symbolic expressions we ensure the discovered plasticity rules are amenable to intuitive understanding. This is fundamental for successful communication and human-guided generalization, for example to different network architectures or task domains. We demonstrate the flexibility of our approach by discovering efficient plasticity rules in typical learning scenarios.
Towards Automated Safety Coverage and Testing for Autonomous Vehicles with Reinforcement Learning

The kind of closed-loop verification likely to be required for autonomous vehicle (AV) safety testing is beyond the reach of traditional test methodologies and discrete verification. Validation puts the autonomous vehicle system to the test in scenarios or situations that the system would likely encounter in everyday driving after its release. These scenarios can either be controlled directly in a physical (closed-course proving ground) or virtual (simulation of predefined scenarios) environment, or they can arise spontaneously during operation in the real world (open-road testing or simulation of randomly generated scenarios). In AV testing, simulation serves primarily two purposes: to assist the development of a robust autonomous vehicle and to test and validate the AV before release. A challenge arises from the sheer number of scenario variations that can be constructed from each of the above sources due to the high number of variables involved (most of which are continuous). Even with continuous variables discretized, the possible number of combinations becomes practically infeasible to test. To overcome this challenge we propose using reinforcement learning (RL) to generate failure examples and unexpected traffic situations for the AV software implementation. Although reinforcement learning algorithms have achieved notable results in games and some robotic manipulations, this technique has not been widely scaled up to the more challenging real world applications like autonomous driving.
On the Bound of Cumulative Return in Trading Series and the Verification Using Technical Trading Rules

There is no doubt that cumulative return is one of fundamental concerns in financial markets. In this paper, we first reveal the upper bound of cumulative return, and then propose a method to evaluate the performance of trading strategies by using proposed upper bound. Furthermore, with the help of bootstrap methodology, we conduct numerous experiments on distinct international stock markets, including developed markets and emerging markets, to verify the validity of the proposed upper bound. And both the theoretical and empirical results show that the effectiveness of the proposed upper bound and reveal its significant potentials on evaluating performance of trading rules.
Wavefront prediction using artificial neural networks for open-loop adaptive optics

Latency in the control loop of adaptive optics (AO) systems can severely limit performance. Under the frozen flow hypothesis linear predictive control techniques can overcome this; however, identification and tracking of relevant turbulent parameters (such as wind speeds) is required for such parametric techniques. This can complicate practical implementations and introduce stability issues when encountering variable conditions. Here, we present a non-linear wavefront predictor using a long short-term memory (LSTM) artificial neural network (ANN) that assumes no prior knowledge of the atmosphere and thus requires no user input. The ANN is designed to predict the open-loop wavefront slope measurements of a Shack–Hartmann wavefront sensor (SH-WFS) one frame in advance to compensate for a single-frame delay in a simulated 7 × 7 single-conjugate adaptive optics system operating at 150 Hz. We describe how the training regime of the LSTM ANN affects prediction performance and show how the performance of the predictor varies under various guide star magnitudes. We show that the prediction remains stable when both wind speed and direction are varying. We then extend our approach to a more realistic two-frame latency system. AO system performance when using the LSTM predictor is enhanced for all simulated conditions with prediction errors within 19.9–40.0 nm RMS of a latency-free system operating under the same conditions compared to a bandwidth error of 78.3 ± 4.4 nm RMS.