Miracle-dz/UniFAR-FTUs huggingface dataset:
Pharmacotherapeutics for substance-use disorders: a focus on dopaminergic medications

Introduction: Illicit substance-use is a substantial public health concern, contributing over $150 billion in costs annually to Americans. A complex disease, a substance-use disorder affects neural circuits involved in reinforcement, motivation, learning and memory, and inhibitory control. Areas covered: The modulatory influence of dopamine in mesocorticolimbic circuits contributes to encoding the primary reinforcing effects of substances and numerous studies suggest that aberrant signaling within these circuits contributes to the development of a substance-use disorder in some individuals. Decades of research focused on the clinical development of medications that directly target dopamine receptors has led to recent studies of agonist-like dopaminergic treatments for stimulant-use disorders and, more recently, cannabis-use disorder. Human studies evaluating the efficacy of dopaminergic agonist-like medications to reduce reinforcing effects and substance-use provide some insight into the design of future pharmacotherapy trials. A search of PubMed using specific brain regions, medications, and/or the terms ‘dopamine', ‘cognition', ‘reinforcement', ‘cocaine', ‘methamphetamine', ‘amphetamine', ‘cannabis', ‘treatment/pharmacotherapy', ‘addiction/abuse/dependence' identified articles relevant to this review. Expert opinion: Conceptualization of substance-use disorders and their treatment continues to evolve. Current efforts increasingly focus on a strategy fostering combination pharmacotherapies that target multiple neurotransmitter systems.
Two humanoid simulators: Comparison and synthesis

In this paper an overview of two humanoid simulation platforms is provided: Simspark, a 3D Robocup simulator and the robotics simulator SimTwo. Although these two simulators have different background, today they share the same humanoid robot model, namely the Albaderan NAO robot. According to the fact that developing reliable and robust biped locomotion and low level humanoid behaviors are still challenging tasks, simulation has an important role in improving humanoids movement development approaches. In this paper the two humanoid robotic simulators will be compared in face of simulating Humanoid low level behaviors. The comparison is based on identifying the same role and locomotion approaches. The results show that Simspark is closer to reality than SimTwo.
Searching for Sentences Expressing Opinions by using Declaratively Subjective Clues

This paper presents a method for searching the web for sentences expressing opinions. To retrieve an appropriate number of opinions that users may want to read, declaratively subjective clues are used to judge whether a sentence expresses an opinion. We collected declaratively subjective clues in opinion-expressing sentences from Japanese web pages retrieved with opinion search queries. These clues were expanded with the semantic categories of the words in the sentences and were used as feature parameters in a Support Vector Machine to classify the sentences. Our experimental results using retrieved web pages on various topics showed that the opinion expressing sentences identified by the proposed method are congruent with sentences judged by humans to express opinions.
FlowRadar: A Better NetFlow for Data Centers

NetFlow has been a widely used monitoring tool with a variety of applications. NetFlow maintains an active working set of flows in a hash table that supports flow insertion, collision resolution, and flow removing. This is hard to implement in merchant silicon at data center switches, which has limited per-packet processing time. Therefore, many NetFlow implementations and other monitoring solutions have to sample or select a subset of packets to monitor. In this paper, we observe the need to monitor all the flows without sampling in short time scales. Thus, we design FlowRadar, a new way to maintain flows and their counters that scales to a large number of flows with small memory and bandwidth overhead. The key idea of FlowRadar is to encode perflow counters with a small memory and constant insertion time at switches, and then to leverage the computing power at the remote collector to perform network-wide decoding and analysis of the flow counters. Our evaluation shows that the memory usage of FlowRadar is close to traditional NetFlow with perfect hashing. With FlowRadar, operators can get better views into their networks as demonstrated by two new monitoring applications we build on top of FlowRadar.
Does user satisfaction relate to adoption behavior?: an exploratory analysis using CPRS implementation

User satisfaction is commonly assessed in evaluations of information systems as a proxy for user adoption. However few studies actually report directly assessing the relationship between the two constructs. In this study the relationship between four user satisfaction measures and five adoption behaviors were explored in the context of the implementation of the Veteran's Health Administration Computerized Patient Record System 1.0. Findings suggest that the relationship is modest and depends on the measurement system used. Specifically, direct reports of affect and judgements of specific task efficacy related to behavior more often than usability and a general user satisfaction instrument.
Research on the control strategy of cascaded H-bridge SVG under grid fault

In order to deal with the voltage drop caused by grid fault, this paper proposes the control strategy of cascaded H-bridge SVG under balanced and unbalanced voltage drop, respectively. In condition of balanced voltage drop, this paper proposes a control strategy which can rapidly compensate reactive power to the grid so that the voltage can be supported in a certain extent. In condition of unbalanced voltage drop, a grid current balancing control strategy which adopts positive and negative sequence decoupling control to realize the control of reactive power and negative sequence component is proposed. In addition, a dc voltage balancing control strategy which adopts zero sequence voltage injection method is proposed to keep the dc voltage balanced. The simulations verify the efficiency of the proposed control strategies.
VAPB interacts with the mitochondrial protein PTPIP51 to regulate calcium homeostasis

A proline to serine substitution at position 56 in the gene encoding vesicle-associated membrane protein-associated protein B (VAPB) causes some dominantly inherited familial forms of motor neuron disease including amyotrophic lateral sclerosis (ALS) type-8. VAPB is an integral endoplasmic reticulum (ER) protein whose amino-terminus projects into the cytosol. Overexpression of ALS mutant VAPBP56S disrupts ER structure but the mechanisms by which it induces disease are not properly understood. Here we show that VAPB interacts with the outer mitochondrial membrane protein, protein tyrosine phosphatase-interacting protein 51 (PTPIP51). ER and mitochondria are both stores for intracellular calcium (Ca2+) and Ca2+ exchange between these organelles occurs at regions of ER that are closely apposed to mitochondria. These are termed mitochondria-associated membranes (MAM). We demonstrate that VAPB is a MAM protein and that loss of either VAPB or PTPIP51 perturbs uptake of Ca2+ by mitochondria following release from ER stores. Finally, we demonstrate that VAPBP56S has altered binding to PTPIP51 and increases Ca2+ uptake by mitochondria following release from ER stores. Damage to ER, mitochondria and Ca2+ homeostasis are all seen in ALS and we discuss the implications of our findings in this context.
Systematic review and meta-analyses of risk factors for childhood overweight identifiable during infancy

Objective To determine risk factors for childhood overweight that can be identified during the first year of life to facilitate early identification and targeted intervention. Design Systematic review and meta-analysis. Search strategy Electronic database search of MEDLINE, EMBASE, PubMed and CAB Abstracts. Eligibility criteria Prospective observational studies following up children from birth for at least 2 years. Results Thirty prospective studies were identified. Significant and strong independent associations with childhood overweight were identified for maternal pre-pregnancy overweight, high infant birth weight and rapid weight gain during the first year of life. Meta-analysis comparing breastfed with non-breastfed infants found a 15% decrease (95% CI 0.74 to 0.99; I2=73.3%; n=10) in the odds of childhood overweight. For children of mothers smoking during pregnancy there was a 47% increase (95% CI 1.26 to 1.73; I2=47.5%; n=7) in the odds of childhood overweight. There was some evidence associating early introduction of solid foods and childhood overweight. There was conflicting evidence for duration of breastfeeding, socioeconomic status at birth, parity and maternal marital status at birth. No association with childhood overweight was found for maternal age or education at birth, maternal depression or infant ethnicity. There was inconclusive evidence for delivery type, gestational weight gain, maternal postpartum weight loss and ‘fussy’ infant temperament due to the limited number of studies. Conclusions Several risk factors for both overweight and obesity in childhood are identifiable during infancy. Future research needs to focus on whether it is clinically feasible for healthcare professionals to identify infants at greatest risk.
Modernization of steering servodrive control system of autonomous vehicle by its experimental data

In the paper a modernization procedure of steering servodrive control system of autonomous vehicle is proposed, which is implemented by experimental data of the plant. The procedure is intended for solving task of the open-loop control system synthesis under the action of stochastic influences. Also it takes into account the possibility to mount controller just at the input of the investigated object. Several results of the servodrive control system modernization is presented in the paper.
Damage Identification Based on Power Spectral Density Sensitivity Analysis of Structural Responses

A new method is proposed to identify structural damages based on the power spectral density sensitivity analysis. The responses of the structure under stationary and random excitations are obtained using pseudo excitation method, and then the sensitivities of power spectral density with respect to the structural damage parameters are obtained similarly. Finite element model updating method is adopted to identify the structural damages. A numerical example of a shearing structure demonstrates the satisfactory results obtained from the present method.
Rates and correlates of employment in people with schizophrenia in the UK, France and Germany.

BACKGROUND Little is known about international variations in employment rates among people with schizophrenia or about the factors associated with employment in this disorder. AIMS To describe employment patterns and the variables associated with working in an international sample of people with schizophrenia. METHOD An analysis was made of baseline data from the European Schizophrenia Cohort study, a 2-year investigation of people with schizophrenia in contact with secondary services and living in France, Germany and the UK (n=1208). RESULTS Participants were working in all sections of the job market. People who had a degree, were living with their families or had experienced only a single episode of illness were more likely to be working. A continuous illness course, more severe non-psychotic symptoms and drug misuse reduced the odds of employment. There were large variations between centres in employment rates, which were highest in the three German study sites. These differences persisted after adjustment for individual characteristics. CONCLUSIONS Local social contexts may be as important as individual or illness-related factors in explaining employment status.
RANDOM‐FRAGMENT HYBRIDIZATION ANALYSIS OF EVOLUTION IN THE GENUS NEUROSPORA: THE STATUS OF FOUR‐SPORED STRAINS

A random‐fragment hybridization method employing nuclear DNA has been developed to explore phylogenetic relationships in the genus Neurospora. Four cloned fragments and repetitive rDNA sequences were examined for restriction‐fragment polymorphisms among 14 strains representing four species. The findings demonstrate that variation among randomly selected nuclear fragments can be employed to group related taxa with a higher degree of resolution than has been obtained with other DNA hybridization methods, isozyme electrophoresis, or restriction analysis of repetitive DNA. Based on our analysis of cloned fragments, we conclude that four‐spored, secondarily‐homothallic strains collected worldwide represent a monophyletic group. Trees constructed on the basis of restriction‐fragment cataloging and coarse‐structure restriction‐site maps are for the most part consistent with the present mating‐based species concept. We are encouraged that this method will provide an additional important experimental tool for evolutionary studies.
t-Closeness: Privacy Beyond k-Anonymity and l-Diversity

The k-anonymity privacy requirement for publishing microdata requires that each equivalence class (i.e., a set of records that are indistinguishable from each other with respect to certain "identifying" attributes) contains at least k records. Recently, several authors have recognized that k-anonymity cannot prevent attribute disclosure. The notion of l-diversity has been proposed to address this; l-diversity requires that each equivalence class has at least l well-represented values for each sensitive attribute. In this paper we show that l-diversity has a number of limitations. In particular, it is neither necessary nor sufficient to prevent attribute disclosure. We propose a novel privacy notion called t-closeness, which requires that the distribution of a sensitive attribute in any equivalence class is close to the distribution of the attribute in the overall table (i.e., the distance between the two distributions should be no more than a threshold t). We choose to use the earth mover distance measure for our t-closeness requirement. We discuss the rationale for t-closeness and illustrate its advantages through examples and experiments.
The jet impact force of laser-induced bubble under the water-film with different thickness

The effect of water-film on the laser-induced bubble was investigated by a piezoelectric ceramic transducer (PZT) sensor. Both of the collapse time and liquid-jet impact force of the bubble under the water-film were obtained, and the experiments were also completed in different laser energy. The collapse time increase with the thickness of the waterfilm, but the liquid-jet impact force decrease. We consider that the collapse time was affected by both of the rigid boundary and surface, and the increasing of the collapse time is the reason the decreasing of the liquid-jet impact force. The velocity of bubble wall is lower with the longer collapse time for the uniform bubbles energy, so the liquid-jet impact force is lower. For the other reasons, more laser energy would be absorbed by the thicker water-film, but the water was also splashed for the thinner water-film. So, for the thinner water-film, the bubble energy is higher, the liquidjet impact force is higher, but the maximal radius is smaller because of the splash process. In the other hand, both of the collapse time and the liquid-jet impact force are increase with the laser energy. These researches are useful for the laser processing under water.
Embryonic stem cell–derived M2‐like macrophages delay cutaneous wound healing

In adults, repair of deeply injured skin wounds results in the formation of scar tissue, whereas in embryos wounds heal almost scar‐free. Macrophages are important mediators of wound healing and secrete cytokines and tissue remodeling enzymes. In contrast to host defense mediated by inflammatory M1 macrophages, wound healing and tissue repair involve regulatory M2/M2‐like macrophages. Embryonic/fetal macrophages are M2‐like, and this may promote scar‐free wound healing. In the present study, we asked whether atopical application of ex vivo generated, embryonic stem cell–derived macrophages (ESDM) improve wound healing in mice. ESDM were tested side by side with bone marrow–derived macrophages (BMDM). Compared to BMDM, ESDM resembled a less inflammatory and more M2‐like macrophage subtype as indicated by their reduced responsiveness to lipopolysaccharide, reduced expression of Toll‐like receptors, and reduced bacterial phagocytosis. Despite this anti‐inflammatory phenotype in cell culture, ESDM prolonged the healing of deep skin wounds even more than BMDM. Healed wounds had more scar formation compared to wounds receiving BMDM or cell‐free treatment. Our data indicate that atopical application of ex vivo generated macrophages is not a suitable cell therapy of dermal wounds.
On the complexity of polynomial matrix computations

We study the link between the complexity of polynomial matrix multiplication and the complexity of solving other basic linear algebra problems on polynomial matrices. By polynomial matrices we mean <i>n</i>times <i>n</i> matrices in <b>K</b>[<i>x</i>] of degree bounded by <i>d</i>, with <b>K</b> a commutative field. Under the straight-line program model we show that multiplication is reducible to the problem of computing the coefficient of degree <i>d</i> of the determinant. Conversely, we propose algorithms for minimal approximant computation and column reduction that are based on polynomial matrix multiplication; for the determinant, the straight-line program we give also relies on matrix product over <b>K</b>[<i>x</i>] and provides an alternative to the determinant algorithm of [16, 17]. We further show that all these problems can be solved in particular in <i>O</i><sup> </sup>(<i><sup>ω</sup></i>) operations in <b>K</b>. Here the "soft O" notation <i>O</i><sup> </sup> indicates some missing log (<i>nd</i>) factors and ω is the exponent of matrix multiplication over <b>K</b>.
PIECEWISE VECTOR QUANTIZATION APPROXIMATION FOR EFFICIENT SIMILARITY ANALYSIS OF TIME SERIES IN DATA MINING

Efficiently searching for similarities among time series and discovering interesting patterns is an important and non-trivial problem with applications in many domains. The high dimensionality of the data makes the analysis very challenging. To solve this problem, many dimensionality reduction methods have been proposed. PCA (Piecewise Constant Approximation) and its variant have been shown efficient in time series indexing and similarity retrieval. However, in certain applications, too many false alarms introduced by the approximation may reduce the overall performance dramatically. In this paper, we introduce a new piecewise dimensionality reduction technique that is based on Vector Quantization. The new technique, PVQA (Piecewise Vector Quantized Approximation), partitions each sequence into equi-length segments and uses vector quantization to represent each segment by the closest (based on a distance metric) code word from a codebook of keysequences. The efficiency of calculations is improved due to the significantly lower dimensionality of the new representation. We demonstrate the utility and efficiency of the proposed technique on real and simulated datasets. By exploiting prior knowledge about the data, the proposed technique generally outperforms PCA and its variants in similarity searches.
Combining linear and non-linear processing in the time and in the spectral domain for non-stationary noise filtering

Through this paper, the combination of linear andnon-linear techniques for noise filtering is proposed.A first linear processing stage in the time domain (anadaptive lattice ladder filter)[2],[5] is followed by anon-linear processing block in the frequency domain.The association of both procedures provides a muchhigher level of cancellation than their individualapplication. An added result is that the application ofthe frequency domain non-linear processing makes itpossible to use very short adaptive filters, with theresulting savings in computational powerrequirements.
Joint Learning of Multiple Sparse Matrix Gaussian Graphical Models

We consider joint learning of multiple sparse matrix Gaussian graphical models and propose the joint matrix graphical Lasso to discover the conditional independence structures among rows (columns) in the matrix variable under distinct conditions. The proposed approach borrows strength across the different graphical models and is based on the maximum likelihood with penalized row and column precision matrices, respectively. In particular, our model is more parsimonious and flexible than the joint vector graphical models. Furthermore, we establish the asymptotic properties of our model on consistency and sparsistency.1 And the asymptotic analysis shows that our model enjoys a better convergence rate than the joint vector graphical models. Extensive simulation experiments demonstrate that our methods outperform state-of-the-art methods in identifying graphical structures and estimating precision matrices. Moreover, the effectiveness of our methods is also illustrated via a real data set analysis.
3 Tesla Delayed Contrast Magnetic Resonance Imaging Evaluation of Ménière's Disease

Objective: To determine whether 3 Tesla (T) magnetic resonance imaging (MRI) with delayed contrast imaging has sufficient anatomic resolution to image the intracochlear fluid spaces (i.e., the scala tympani, scala media, and scala vestibuli) of the inner ear and identify endolymphatic hydrops in vivo.
Capillary Extrusion Studies of LLDPE/LDPE Blends: Effects of Manufacturing Technology of LLDPE and Long Chain Branching

Abstract The processing behavior of a number of LLDPE/LDPE blends with emphasis on the effects of manufacturing technology of LLDPE and long chain branching is presented. A single low-density polyethylene was blended with two Ziegler-Natta linear-low-density polyethylenes LLDPE's and two metallocene-LLDPE's having distinctly different molecular structures. The weight fractions of the LDPEs used in the blends were 1 wt. %, 5 wt. %, 10 wt. %, 20 wt. %, 50 wt. % and 75 wt. %. Capillary extrusion reveals that the onset of sharkskin and gross melt fracture are slightly influenced with the addition of LDPE into LLDPE. However, the amplitude of the oscillations in the stick-slip flow regime was found to scale well with the weight fraction of LDPE even at amounts as low as 1 wt. %. Furthermore, it was observed that the onset of this flow regime was shifted to higher shear rates with increase of LDPE content. Shear rheology was found to be insensitive to detect small levels of LDPE. On the other hand, extensional rheology was found to be capable of detecting levels of LDPE as low as 1 wt. % at high Hencky strain rates (typically greater than 5 s−1) although only for certain blends.
Automatic adaptation of sensor-based robots

We present a framework for an adaptive system capable of automatically optimizing a given sensor-based program for an industrial robot to facilitate the development of fast and robust applications. We present a systematic overview of the layers of the robot controller in which a speed-up may be gained by incorporating adaptation techniques. We then measure the potential for optimization at a specific level to determine the improvement yielded with this optimization.