Miracle-dz/UniFAR-FTUs huggingface dataset:
Treatment of Bipolar I Rapid Cycling Patients During Dysphoric Mania with Olanzapine

The simultaneous presentation of manic and depressive symptoms in the same patient is fairly common. The terms dysphoric, mixed, and depressive mania have been used as equivalents to mixed states. Pharmacotherapy is less effective in this group of patients. The aim of this study is to determine the effectiveness and safety of olanzapine as an add-on therapy in patients with bipolar disorder with a rapid cycling course during a dysphoric mania episode. Thirteen patients treated with mood stabilizers for at least 1 year and diagnosed with a mixed episode were included in an open trial. All had at least 4 episodes in the last year. Patients with organic diseases, including altered thyroid function, were excluded from the research. Patients were evaluated at inclusion and at day 28. Response was defined as a decrease of 50% in the Young Mania Rating Scale and the Hamilton Rating Scale for Depression concomitant with a Clinical Global Impression improvement of 1 or 2. All patients completed the study. The doses of olanzapine were 16.15 ± 5.82 mg/day. There was a reduction in the manic and depressive symptoms in all patients. Ten of the 13 patients were considered to have responded to the treatment according to the response definition. Adverse effects included somnolence (23.08%) and weight gain (0.81 ± 1.96 kg in women, 2.20 ± 2.28 kg in men). Our results suggest that olanzapine combined with mood stabilizers is safe and effective in the treatment of the manic and the depressive symptoms of dysphoric mania with a rapid cycling course.
Multi-codebook vector quantization algorithm for speaker identification

This paper introduces an algorithm for speaker identification based on multi-codebook vector quantization (MCVQ). MCVQ combines different size codebooks to achieve high recognition accuracy for text-independent speaker identification and reduce the number of distortion calculations during matching between test frame and speakers’ codebooks. Experimental work has shown that the proposed model speed up the matching process without approximately decreasing the identification accuracy.
Mapping and Identifying a Candidate Gene (Bnmfs) for Female-Male Sterility through Whole-Genome Resequencing and RNA-Seq in Rapeseed (Brassica napus L.)

In oilseed crops, carpel and stamen development play vital roles in pollination and rapeseed yield, but the genetic mechanisms underlying carpel and stamen development remain unclear. Herein, a male- and female-sterile mutant was obtained in offspring of a (Brassica napus cv. Qingyou 14) × (Qingyou 14 × B. rapa landrace Dahuang) cross. Subsequently, F2–F9 populations were generated through selfing of the heterozygote plants among the progeny of each generation. The male- and female-sterility exhibited stable inheritance in successive generations and was controlled by a recessive gene. The mutant kept the same chromosome number (2n = 38) as B. napus parent but showed abnormal meiosis for male and female. One candidate gene for the sterility was identified by simple sequence repeat (SSR) and insertion deletion length polymorphism (InDel) markers in F7–F9 plants, and whole-genome resequencing with F8 pools and RNA sequencing with F9 pools. Whole-genome resequencing found three candidate intervals (35.40–35.68, 35.74–35.75, and 45.34–46.45 Mb) on chromosome C3 in B. napus and candidate region for Bnmfs was narrowed to approximately 1.11-Mb (45.34–46.45 M) by combining SSR and InDel marker analyses with whole-genome resequencing. From transcriptome profiling in 0–2 mm buds, all of the genes in the candidate interval were detected, and only two genes with significant differences (BnaC03g56670D and BnaC03g56870D) were revealed. BnaC03g56870D was a candidate gene that shared homology with the CYP86C4 gene of Arabidopsis thaliana. Quantitative reverse transcription (qRT)-PCR analysis showed that Bnmfs primarily functioned in flower buds. Thus, sequencing and expression analyses provided evidence that BnaC03g56870D was the candidate gene for male and female sterility in the B. napus mutant.
Analysis of pseudo-random properties of nonlinear congruential generators with power of two modulus by numerical computing of the b-adic diaphony

We consider two nonlinear methods for generating uniform pseudo-random numbers in (0, 1), namely quadratic congruential generator and inversive congruential generator. The combinations of the Van der Corput sequence with the considered nonlinear generators are proposed. We simplify the mixed sequences by a restriction of the b-adic representation of the points. We study numerically the b-adic diaphony of the nets obtained through quadratic congruential generator, inversive congruential generator, their combinations with the Van der Corput sequence, and the simplification of the mixed sequences. The value of the b-adic diaphony decreases with the increase of the number of the points of the simplified sequences which proves that the points of the simplified sequences are pseudo-random numbers. The analysis of the results shows that the combinations of the Van der Corput sequence with these nonlinear generators have good pseudo-random properties as well as the generators.
Nocturnal asthma in children affects school attendance, school performance, and parents' work attendance.

CONTEXT Asthma symptoms that occur at night may signal worse asthma control, but the nighttime occurrence may have additional clinical significance. To date, however, there have been few studies of the impact of nocturnal awakening from asthma on children with the disease, including problems with daytime functioning. OBJECTIVE To determine if school absenteeism and school performance in children and work absenteeism in their parents are associated with nocturnal awakenings from asthma. DESIGN Cross-sectional survey during the winter of 1997 through 1998. SETTING Three managed care organizations in the United States. PARTICIPANTS Parents of 438 children with asthma, aged 5 to 17 years, who were enrolled in managed care organizations. INTERVENTION None. MAIN OUTCOME MEASURES Parent's reports of number of days their child missed school and parent missed work and how often the child's education suffered because of asthma in the past 4 weeks. RESULTS Overall, more than 40% of children had nocturnal awakenings from asthma in the past 4 weeks. Multivariate analyses were performed that adjusted for child age, race, overall symptom severity, and use of reliever medications. Compared with children who did not awaken from asthma, there were greater odds of missed school days in children who awakened 1 to 3 nights (odds ratio [OR], 3.6; 95% confidence interval [CI], 2.1-6.2), 4 to 7 nights (OR, 4.4; 95% CI, 2.0-10.0), and more than 7 nights (OR, 14.7; 95% CI, 5.9-37.0). Similarly, there were greater odds of education suffering in children who awakened 1 to 3 nights (OR, 2.3; 95% CI, 1.4-3.7), 4 to 7 nights (OR, 2.1; 95% CI, 0.9-4.6), and more than 7 nights (OR, 2.3; 95% CI, 1. 0-5.4), and parents missing work in children who awakened 1 to 3 nights (OR, 4.0; 95% CI, 2.2-7.1), 4 to 7 nights (OR, 6.5; 95% CI, 2.7-16), and more than 7 nights (OR, 3.2; 95% CI, 1.3-7.9). Greater overall symptom severity and high use of reliever mediation were also associated with missed school, education suffering, and parent absenteeism. CONCLUSIONS Nighttime awakenings in children with asthma may affect school attendance and performance, as well as work attendance by parents. Nighttime symptoms have independent prognostic value, even when overall asthma symptom severity is accounted for. By addressing whether there are nighttime awakenings in children with asthma, clinicians may be able to tailor the therapeutic regimen to counter these symptoms.
Evaluation of P2P File Distribution Using IP Mobility

Recently, P2P file distribution systems including the BitTorrent are used for distributing open source software, e.g., BSD OS. IP address of downloaders relate to session disconnection in each downloader during the file transmission. Session disconnection with changing IP address will impact efficiency of the file distribution using TCP as a transport layer protocol. To avoid the issue, we consider two candidates. One is to use IP mobility, e.g., MIP6, as a network layer protocol for all downloaders. The other is to modify a transport or application layer protocol to tolerate disconnection with changing address. In this paper, we propose P2P file distribution systems using IP mobility to gain transmission bandwidth. We show experimental results of file distribution based on BitTorrent software with IP mobility running on downloaders are periodically changing IP address.
Extended Methamphetamine Self-Administration in Rats Results in a Selective Reduction of Dopamine Transporter Levels in the Prefrontal Cortex and Dorsal Striatum Not Accompanied by Marked Monoaminergic Depletion

Chronic abuse of methamphetamine leads to cognitive dysfunction and high rates of relapse, paralleled by significant changes of brain dopamine and serotonin neurotransmission. Previously, we found that rats with extended access to methamphetamine self-administration displayed enhanced methamphetamine-primed reinstatement of drug-seeking and cognitive deficits relative to limited access animals. The present study investigated whether extended access to methamphetamine self-administration produced abnormalities in dopamine and serotonin systems in rat forebrain. Rats self-administered methamphetamine (0.02-mg/i.v. infusion) during daily 1-h sessions for 7 to 10 days, followed by either short- (1-h) or long-access (6-h) self-administration for 12 to 14 days. Lever responding was extinguished for 2 weeks before either reinstatement testing or rapid decapitation and tissue dissection. Tissue levels of monoamine transporters and markers of methamphetamine-induced toxicity were analyzed in several forebrain areas. Long-access methamphetamine self-administration resulted in escalation of daily drug intake (∼7 mg/kg/day) and enhanced drug-primed reinstatement compared with the short-access group. Furthermore, long-, but not short-access to self-administered methamphetamine resulted in persistent decreases in dopamine transporter (DAT) protein levels in the prefrontal cortex and dorsal striatum. In contrast, only minor alterations in the tissue levels of dopamine or its metabolites were found, and no changes in markers specific for dopamine terminals or glial cell activation were detected. Our findings suggest that persistent methamphetamine seeking is associated with region-selective changes in DAT levels without accompanying monoaminergic neurotoxicity. Greater understanding of the neuroadaptations underlying persistent methamphetamine seeking and cognitive deficits could yield targets suitable for future therapeutic interventions.
Forecasting using internal markets, Delphi, and other approaches: The knowledge distribution grid

Much forecasting is done by experts, who either make the forecasts themselves or who do opinion research to gather such forecasts. This is consistent with previous knowledge management research that typically has focused on directly soliciting knowledge from those with greater recognized expertise. However, recent research has found that in some cases, electronic markets, whose participants are not necessarily individual experts, often have been found to be more effective aggregated forecasters. This suggests that knowledge management take a similar tact and expand the perspective to include internal markets. As a result, this chapter extends the use of internal markets to be included in knowledge management, thus expanding the base of knowledge to gathering from nonexperts. In particular, in this paper I examine the use of human expertise and opinion as a basis to forecast a range of different events. This chapter uses a “knowledge distribution grid” as a basis for understanding which kind of forecasting tool is appropriate for particular forecasting situations. We examine a number of potential sources of forecast information, including knowledge acquisition, Delphi techniques, and internal markets. Each is seen as providing forecasting information for unique settings.
Multipath TCP for user cooperation in LTE networks

User cooperation exploits nearby mobile devices as relays and offers an opportunity to enable multipath transmission for multi-homed mobile devices, even when there is no multiple access coverage. MPTCP by Internet Engineering Task Force is a promising solution to support simultaneous delivery of TCP packets over multiple paths. One key component of MPTCP is the coupled congestion control algorithm, which aims to aggregate available bandwidths of multiple paths while avoiding aggressive behavior to regular single-path TCP traffic sharing the paths. However, we find out that in a user cooperation scenario, the throughput of local single-path traffic of relays can be severely degraded by forwarding subflows of MPTCP, which can jeopardize the motivation for user cooperation. In this article we propose extensions to the congestion control of MPTCP for a user cooperation scenario in the Long Term Evolution network. The local traffic at relays can be controlled by regular TCP and more generic additive-increase and multiplicativedecrease protocols. Simulation results demonstrate that our extensions do not degrade performance for adding MPTCP subflows to local traffic, and thus better promote user cooperation.
Word Completion with Latent Semantic Analysis

Current word completion tools rely mostly on statistical or syntactic knowledge. Can using semantic knowledge improve the completion task? We propose a language-independent word completion algorithm which uses latent semantic analysis (LSA) to model the semantic context of the word being typed. We find that a system using this algorithm alone achieves keystroke savings of 56% and a hit rate of 42%. This represents improvements of 6.9% and 17%, respectively, over existing approaches
Mean Response-Time Minimization of a Soft-Cascade Detector

In this paper, the problem of minimizing the mean response-time of a soft-cascade detector is addressed. A soft-cascade detector is a machine learning tool used in applications that need to recognize the presence of certain types of object instances in images. Classical soft-cascade learning methods select the weak classifiers that compose the cascade, as well as the classification thresholds applied at each cascade level, so that a desired detection performance is reached. They usually do not take into account its mean response-time, which is also of importance in time-constrained applications. To overcome that, we consider the threshold selection problem aiming to minimize the computation time needed to detect a target object in an image (i.e., by classifying a set of samples). We prove the NP-hardness of the problem and propose a mathematical model that takes benefit from several dominance properties, which are put into evidence. On the basis of computational experiments, we show that we can provide a faster cascade detector, while maintaining the same detection performances.
Discerning Risk of Disease Transition in Relatives of Systemic Lupus Erythematosus Patients Utilizing Soluble Mediators and Clinical Features

Systemic lupus erythematosus (SLE) and other autoimmune diseases cause significant morbidity. Identifying populations at risk of developing SLE is essential for curtailing irreversible inflammatory damage. The aim of this study was to identify factors associated with transition to classified disease that would inform our understanding of the risk of SLE.
Supplementary data: Comprehensive modeling of microRNA targets predicts functional non-conserved and non-canonical sites

Context score values were computed by parsing the AU composition, 3’-binding and UTR position features from predicted microRNA::target site alignments. Seed specific scores were calculated using the regression parameters described in Grimson et al. Table S6 [8] using the source code downloaded from [39]. Due to differences in predicted miRNA::target alignments, which in our study were generated by miRanda, the context score values computed based on our predicted duplexes (mirSVR-CS) are not exactly the same as those calculated by TargetScan (TargetScanCS), and this difference may have some impact on the performance assessment. To assess the significance of the differences between our computed context scores to those provided by TargetScan5.0, we first calculated the Pearson correlation between the two context score values for the canonical sites in the Linsley data set [21]. We found a significant correlation between the two scores (Supplementary Table 1), and most of the difference can be attributed to variations in the 3’-binding scores. We also correlated the two scores with the observed log expression changes and found that mirSVR-CS values are in fact better correlated with the observed expression changes than the context scores provided by TargetScan. We conclude that differences in predicting the base-pairing in the miRNA::mRNA duplexes, and the resulting differences in context score values, did not adversely affect context score performance in our comparative analysis.
Automated Planning for Ubiquitous Computing

The goal of ubiquitous computing is to create ambience in which one’s experiences and quality of life are improved by monitoring and assisting people using ubiquitous technologies and computation in coherence. The continuous advancements of involved technologies, such as wireless communications, mobile devices, and sensors, imply fast evolution of ubiquitous computing environments too. The complexity of these environments is reaching a point where traditional solutions simply no longer work. The environments are in need of computational techniques that can deal with the evolution and uncertainty of ubiquitous computing environments dynamically and automatically. Artificial Intelligence (AI) can contribute towards satisfying this future scenario in many ways, while numerous approaches inspired by work in the AI planning community have already been designed for ubiquitous computing. We devote this study to investigate the current progress of AI planning for ubiquitous computing by analysing those approaches. We rigorously search for and select relevant literature out of which we extract qualitative information. Using the extracted qualities, we derive a generic framework that consists of aspects important to planning for ubiquitous computing. The framework’s main purpose is to facilitate the understanding of those aspects, and classify the literature according to them. We then analyse the literature in a consolidated way, and identify future challenges of planning for ubiquitous computing.
On the Cohomology of Contextuality

Recent work by Abramsky and Brandenburger used sheaf theory to give a mathematical formulation of non-locality and contextuality. By adopting this viewpoint, it has been possible to define cohomological obstructions to the existence of global sections. In the present work, we illustrate new insights into different aspects of this theory. We shed light on the power of detection of the cohomological obstruction by showing that it is not a complete invariant for strong contextuality even under symmetry and connectedness restrictions on the measurement cover, disproving a previous conjecture. We generalise obstructions to higher cohomology groups and show that they give rise to a refinement of the notion of cohomological contextuality: different "levels" of contextuality are organised in a hierarchy of logical implications. Finally, we present an alternative description of the first cohomology group in terms of torsors, resulting in a new interpretation of the cohomological obstructions.
Possible pathways for lysosomal enzyme delivery

Immunogold double-labeling and ultrathin cryosections were used to compare the subcellular distribution of albumin, mannose 6-phosphate receptor (MPR), galactosyltransferase, and the lysosomal enzymes cathepsin D, beta-hexosaminidase, and alpha-glucosidase in Hep G2 cells. MPR and lysosomal enzymes were found throughout the stack of Golgi cisternae and in a trans-Golgi reticulum (TGR) of smooth-surfaced tubules with coated buds and vesicles. The trans-Golgi orientation of TGR was ascertained by the co-localization with galactosyltransferase. MPR was particularly abundant in TGR and CURL, the compartment of uncoupling receptors and ligands. Both TGR and CURL also contained lysosomal enzymes, but endogenous albumin was detected in TGR only. The coated buds on TGR tubules contained MPR, lysosomal enzymes, as well as albumin. MPR and lysosomal enzymes were also found in coated pits of the plasma membrane. CURL tubules seemed to give rise to smooth vesicles, often of the multivesicular body type. In CURL, the enzymes were found in the lumina of the smooth vesicles while MPR prevailed in the tubules. These observations suggest a role of CURL in transport of lysosomal enzymes to lysosomes. When the cells were treated with the lysosomotropic amine primaquine, binding of anti-MPR to the cells in culture was reduced by half. Immunocytochemistry showed that MPR accumulated in TGR, especially in coated buds. Since these buds contain endogenous albumin and lysosomal enzymes also, these data suggest that coated vesicles originating from TGR provide for a secretory route in Hep G2 cells and that this pathway is followed by the MPR system as well.
Comparison of protein structures by multi-objective optimization.

We propose a novel method for solving the structure comparison problem for proteins, based on a decomposition technique. We define the structure alignment as a multi-objective optimization problem with both discrete and continuous variables, i.e., maximizing the number of aligned atoms and minimizing their root mean square distance. By controlling a single distance-related parameter, theoretically we can obtain a variety of optimal alignments corresponding to different optimal matching patterns, i.e., from a large matching portion to a small portion. The number of variables in our algorithm increases with the number of atoms of protein pairs in almost a linear manner. The software is available upon request, or from http://zhangroup.aporc. org/bioinfo/samo/.
A Study on the Power Generation Capacity of Piezoelectric Energy Harvesters with Different Fixation Modes and Adjustment Methods

The power generation capacity of piezoelectric energy harvesters (PEHs) is not only related to the properties of the piezoelectric material, the vibration magnitude and the subsequent conditioning circuit, but also to the fixation modes and adjustment methods. In this paper, a commercial piezoelectric ceramic plate (PCP) in simply supported beam fixation mode and cantilever beam fixation mode were analyzed through finite element simulations and experiments, and furthermore, two ways of adjusting the natural frequency of PCP are studied and compared. As a result, some guidelines are proposed for the application of PCPs according to the simulation and experimental results which showed that: (1) the simply supported beam fixation mode is suitable for environments in which the exciting frequency exceeds 50 Hz, while the cantilever beam fixation mode fits the circumstance where the exciting frequency is below 50 Hz; (2) the maximum generation power a PCP produces in simply supported beam fixation mode is larger than that in cantilever beam fixation mode; (3) adjusting the weight of the mass block affixed on the PCP can change the natural frequency of PCP more efficiently than length-width ratio does.