gebhart/patrepeval huggingface dataset:
Evolution of androgen receptor variant (ARV) profiles in serial metastatic solid and liquid biopsies in metastatic castrate resistant prostate cancer (mCRPC) treated with abiraterone acetate/ prednisone (AA/P). (2019)

e16559 Background: ARVs that develop early during treatment with abiraterone acetate/ prednisone (AA/P) may play a role in treatment resistance. We evaluated metastatic site and whole blood mRNA expression of full-length AR (AR-FL) and ARVs to characterize treatment-emergent ARVs (TE-ARVs) from men with mCRPC pre- and post- 12 weeks of AA/P collected in a prospective clinical trial (NCT#01953640). Methods: RNAseq performed on paired metastatic site biopsy (n = 40) and whole blood (n = 25) passed quality control. Reads were aligned to the GRCh38 reference genome with the spliced-alignment TopHat2 package. AR-FL or ARVs were detected if ≥ 2 splice reads aligned to unique splice junctions for AR-FL, AR-8, AR-45, AR-23, AR-V3, AR-V5V6, AR-V7, AR-V8, AR-V9, AR-V10, AR-V12, AR-V13, and AR-V14, and normalized to splice reads per million (SRPM). Cox proportional hazard regression analysis was performed on AR-FL and AR-Vs with ≥1 SRPM for association with time to treatment change (TTTC). Results: In metastatic site biopsies post-AA/P, the average number of splice reads was 27,376,541 (range 7,753,998 to 62,456,773). The median number of ARVs detected was 2 (range 0-8), with a total of total of 110 ARVs identified (Table). Dynamic shifts in ARV profiles were observed post-AAP, with 41 TE-ARVs identified in 17 unique patients. The most common TE-ARV was AR-8 (n = 8), followed by AR-45 (n = 5), AR-23 (n = 5), and AR-V7 (n = 4). The presence of AR-V7 post-AAP was adversely associated with TTTC (hazard ratio 2.46, p = 0.013). The identification of early TE- ARV was not associated with TTTC. In whole blood samples, post-AA/P detection of AR-FL was low (n = 3) and no ARVs were detected. Conclusions: No specific patterns were observed in ARV profiles obtained in the metastatic biopsies after 12 weeks of treatment with AA/P. Clinical trial information: 01953640. [Table: see text]
DHCAL with minimal absorber: measurements with positrons (2016)

In special tests, the active layers of the CALICE Digital Hadron Calorimeter prototype, the DHCAL, were exposed to low energy particle beams, without being interleaved by absorber plates. The thickness of each layer corresponded approximately to 0.29 radiation lengths or 0.034 nuclear interaction lengths, defined mostly by the copper and steel skins of the detector cassettes. This paper reports on measurements performed with this device in the Fermilab test beam with positrons in the energy range of 1 to 10 GeV. The measurements are compared to simulations based on GEANT4 and a standalone program to emulate the detailed response of the active elements.
Cytokinin regulates the activity of the inflorescence meristem and components of seed yield in oilseed rape (2020)

The number of flowers and seed-bearing structures formed by the inflorescence meristem and the formation of ovules in the female reproductive part of the flowers are important yield-related traits of crop plants. It has been shown that cytokinin is a pivotal factor regulating these traits. Here, we explore the impact of mutation of CYTOKININ OXIDASE/DEHYDROGENASE (CKX) genes encoding cytokinin-degrading enzymes on these yield-related traits in oilseed rape (Brassica napus L.). We describe the identification of four BnCKX3 and two BnCKX5 genes as regulators of reproductive development in the allotetraploid B. napus. RNA-seq analysis and in situ hybridization showed expression of these genes in reproductive organs. Loss-of-function mutants for each of these CKX gene copies were identified by targeting induced local lesions in genomes (TILLING) and combined by crossing. Sextuple ckx3 ckx5 mutants showed an increased cytokinin concentration and larger and more active inflorescence meristems. They also produced up to 72% more flowers with gynoecia containing 32% more ovules and up to 54% more pods on the main stem. The weight of seeds harvested from the main stem of plants grown in the greenhouse or in the field was increased by 20-32%. Our results show that cytokinin regulates inflorescence meristem and placenta activity in oilseed rape. The work demonstrates the potential to achieve yield enhancement in a dicot crop plant by modulating the cytokinin status through mutagenesis of specific CKX genes.
Lecithin (1987)

Ten patients with Alzheimer's disease participated in a 26-week double-blind trial of lecithin. EEG data were recorded at baseline, after administration of the placebo, and after administration of the drug. Topographic maps of EEG spectra were compared when patients were on and off drugs. A direct comparison of drug and nondrug data was not significant. A second approach, comparing differences between drug and nondrug with differences between the two nondrug conditions, also produced no evidence of a drug treatment effect. The data confirm other reports that lecithin has no effect upon spectrally analyzed EEG activity in Alzheimer's disease.
A Misbehavior Authority System for Sybil Attack Detection in C-ITS (2019)

Global misbehavior detection is an important backend mechanism in Cooperative Intelligent Transport Systems (C-ITS). It is based on the local misbehavior detection information sent by Vehicle's On-Board Units (OBUs) and by Road-Side Units (RSUs) called Misbehavior Reports (MBRs) to the Misbehavior Authority (MA). By analyzing these reports, the MA provides more accurate and robust misbehavior detection results. Sybil attacks pose a significant threat to the C-ITS systems. Their detection and identification may be inaccurate and confusing. In this work, we propose a Machine Learning (ML) based solution for the internal detection process of the MA. We show through extensive simulation that our solution is able to precisely identify the type of the Sybil attack and provide promising detection accuracy results.
A society of models for video and image libraries (1996)

The average person with a computer will soon have access to the world's collections of digital video and images. However, unlike text that can be alphabetized or numbers that can be ordered, image and video has no general language to aid in its organization. Tools that can "see" and "understand" the content of imagery are still in their infancy, but they are now at the point where they can provide substantial assistance to users in navigating through visual media. This paper describes new tools based on "vision texture" for modeling image and video. The focus of this research is the use of a society of low-level models for performing relatively high-level tasks, such as retrieval and annotation of image and video libraries. This paper surveys recent and present research in this fast-growing area.
Effect of Rocking Movements on Respiration (2016)

For centuries, rocking has been used to promote sleep in babies or toddlers. Recent research suggested that relaxation could play a role in facilitating the transition from waking to sleep during rocking. Breathing techniques are often used to promote relaxation. However, studies investigating head motions and body rotations showed that vestibular stimulation might elicit a vestibulo-respiratory response, leading to an increase in respiration frequency. An increase in respiration frequency would not be considered to promote relaxation in the first place. On the other hand, a coordination of respiration to rhythmic vestibular stimulation has been observed. Therefore, this study aimed to investigate the effect of different movement frequencies and amplitudes on respiration frequency. Furthermore, we tested whether subjects adapt their respiration to movement frequencies below their spontaneous respiration frequency at rest, which could be beneficial for relaxation. Twenty-one healthy subjects (24-42 years, 12 males) were investigated using an actuated bed, moving along a lateral translation. Following movement frequencies were applied: +30%, +15%, -15%, and -30% of subjects' rest respiration frequency during baseline (no movement). Furthermore, two different movement amplitudes were tested (Amplitudes: 15 cm, 7.5 cm; movement frequency: 0.3 Hz). In addition, five subjects (25-28 years, 2 males) were stimulated with their individual rest respiration frequency. Rocking movements along a lateral translation caused a vestibulo-respiratory adaptation leading to an increase in respiration frequency. The increase was independent of the applied movement frequencies or amplitudes but did not occur when stimulating with subjects' rest respiration frequency. Furthermore, no synchronization of the respiration frequency to the movement frequency was observed. In particular, subjects did not lower their respiration frequency below their resting frequency. Hence, it was not feasible to influence respiration in a manner that might be considered beneficial for relaxation.
Tuning the crystalline microstructure of Al-doped ZnO using direct ink writing (2017)

ZnO-based materials are commonly used in electronic device fabrication due to the interesting piezoelectric, pyroelectric, and optical properties of this tunable band-gap semiconductor. In this research, Al-doped ZnO structures have been fabricated through continuous-flow direct writing of sol–gel inks on glass substrates. We focus on understanding the transformations occurring in the materials synthesis from solution to crystalline structures as an essential step for their use in electronic devices. We investigate the relationships between the inks' rheological properties and direct writing parameters with respect to the printed pattern dimensions, and obtained microstructures, after annealing at 500 °C. We demonstrate how, by varying the printing conditions and composition of the ink formulations, the crystallographic-growth and materials' microstructure can be controlled. Finally, we illustrate an example of the optoelectronic functionality of the directly written AZO patterns using their photosensitivity properties upon different illumination conditions as well as their flexibility. Our work aims to establish relationships between materials processing and properties in emerging additive printing methods, which is of paramount importance towards innovation and new paradigms in advanced manufacturing.
Perineural gliomatosis associated with isolated optic nerve gliomas (2009)

<h3>Abstract</h3> To complete mitosis, the intercellular bridge that links daughter cells needs to be cleaved. This abscission step is carried out by the sequential recruitment of ESCRT proteins at the midbody. We report here that a new factor, named AKTIP, works in association with ESCRTs. We find that AKTIP binds to the ESCRT I subunit VPS28, and show by high resolution microscopy that AKTIP forms a ring in the dark zone of the intercellular bridge. This ring is positioned in between the circular structures formed by ESCRTs type III. Functionally, we observe that the reduction of AKTIP impinges on the recruitment of the ESCRT III member IST1 at the midbody and causes abscission defects. Taken together, these data indicate that AKTIP is a new factor that contributes to the formation of the ESCRT complex at the midbody and is implicated in the performance of the ESCRT machinery during cytokinetic abscission.
Optimisation d'une fibre à deux cœurs concentriques dopés à l'erbium pour une application aux lasers de puissance (2005)

National audience
Selective C–H bond functionalization with light-driven P450 biocatalysts (2016)

The unique photochemical properties of Ru(II)-diimine photosensitizers have enabled light-induced electron transfers in hybrid P450 heme domain enzymes. Rapid quenching of the excited state by soluble molecules generates either a highly oxidative or reductive species depending on the nature of the quencher. Under flash quench oxidative conditions, the heme cofactor of the P450 BM3 enzyme is oxidized to a high-valent ferryl species. Meanwhile, a photogenerated reductive species is able to deliver the necessary electrons to P450 heme active sites and sustain photocatalytic activity in the selective hydroxylation of substrate C–H bonds.
Wear Characteristics of Each Composition of the Chromium Nitride Coated Vane in the Rotary Compressor For HFC-134a (1996)

This paper reports the wear characteristics of ceramic thin films in a refrigerant atmosphere, that are composed of and nitrogen and are applied by physical vapor deposition (PVD) to vane for rotary compressors compatible with HFC-134a. It is known that the ceramic thin film, composed of and nitrogen, varies in composition depending on film coating conditions. For this reason, the amount of wear, the friction coefficient and the critical condition for seizure of the ceramic thin film of and nitrogen was evaluated by comparing with ion nitride, subjected to a conventional method, and further the thin film composition was evaluated by X-Ray diffraction and the wear characteristics were evaluated. As a result, it was found that the ceramic thin film composed of and nitrogen is superior to ion nitride in wear resistance and seizure resistance at the refrigerant atmosphere. It was also found that CrN, a composition of ceramics composed of and nitrogen, is superior to another composition of Cr 2 N in wear resistance, and that the wear resistance of mixtures with CrN and Cr 2 N is improved with a decrease in the quantity of Cr 2 N. Further, a method of evaluating the quantity of Cr 2 N qualitatively based on the result of X-Ray diffraction was established. INTRODUCTION In Japan the refrigerant for household refrigerators has already been alternated from CFC-12 to HFC-134a which the ozone depletion potential (ODP) is zero. As a result of this alternation, it has been evident that the lubricating effect of HFC-134a is largely reduced because it contains no chlorine molecules, which are contained in CFC-12 and act as an extreme pressure agent. Therefore, it is expected that in rolling piston type rotary compressors, the lubricating condition will be severer in the sliding area between the vane and roller, where boundary lubrication occurs. So the material is required to have a higher sliding property than any conventional one. As a solution for this problem, various. studies on the improvement of sliding property by hardening treatment, including TiN coating by chemical vapor deposition (CVD) and so on, have been reported 1 ) 2 ) • Also many studies on coating materials have been reported. Especially, ceramic thin films composed of and nitrogen by PVD (hereafter referred to as chromium nitride), wherein the temperature of the substrate will not rise, are reported to be excellent in wear resistance; in Falex tests under dry conditions they turned out to have a higher wear resistance than TiN coating which is widely used as a ceramic thin film material 3 ) • However, the sliding property, including
Numerical Analysis of the Acoustic Transfer Behaviour of Pressure Ducts Utilised for Microphone Measurements in Combustion Chambers (2010)

Acoustic measurements within combustion chambers are expensive due to high thermal loads applied on the measurement devices at operating conditions. As a more feasible substitute, pressure ducts can be used to lead acoustic waves from combustion chambers to externally mounted microphones. Since these pressure ducts are purged by nitrogen at atmospheric temperature, high thermal loads are avoided. However, the acoustic signal measured within the pressure ducts is altered compared to the signal within the combustion chamber. This change in the acoustic signal can be characterised by means of the acoustic transfer function of the pressure duct, which mainly depends on the pressure ducts geometry and the combustion chambers temperature distribution. The main subject of the present paper is to analyse the influence of the combustion chambers temperature distribution on the acoustic transfer function of pressure ducts. For this scope, experiments at standard conditions and transient CFD simulations for different temperature distributions have been carried out. The acoustic signal measured in the pressure duct is found to be amplified with increasing temperatures within the combustion chamber. Moreover this amplification grows with increasing frequency of the acoustic signals.
Markov Localization for Mobile Robots in Dynamic Environments (1999)

Localization, that is the estimation of a robot's location from sensor data, is a fundamental problem in mobile robotics. This papers presents a version of Markov localization which provides accurate position estimates and which is tailored towards dynamic environments. The key idea of Markov localization is to maintain a probability density over the space of all locations of a robot in its environment. Our approach represents this space metrically, using a fine-grained grid to approximate densities. It is able to globally localize the robot from scratch and to recover from localization failures. It is robust to approximate models of the environment (such as occupancy grid maps) and noisy sensors (such as ultrasound sensors). Our approach also includes a filtering technique which allows a mobile robot to reliably estimate its position even in densely populated environments in which crowds of people block the robot's sensors for extended periods of time. The method described here has been implemented and tested in several real-world applications of mobile robots, including the deployments of two mobile robots as interactive museum tour-guides.
A Comprehensive Trainable Error Model for Sung Music Queries (2004)

We propose a model for errors in sung queries, a variant of the hidden Markov model (HMM). This is a solution to the problem of identifying the degree of similarity between a (typically error-laden) sung query and a potential target in a database of musical works, an important problem in the field of music information retrieval. Similarity metrics are a critical component of `query-by-humming' (QBH) applications which search audio and multimedia databases for strong matches to oral queries. Our model comprehensively expresses the types of {m error} or variation between target and query: cumulative and non-cumulative local errors, transposition, tempo and tempo changes, insertions, deletions and modulation. The model is not only expressive, but automatically trainable, or able to learn and generalize from query examples. We present results of simulations, designed to assess the discriminatory potential of the model, and tests with real sung queries, to demonstrate relevance to real-world applications.
Toward Ideal (Trans)Esterification by Use of Fluorous Distannoxane Catalysts (2004)

1,3-Disubstituted tetrakis(fluoroalkyl)distannoxanes, (XR(2)SnOSnR(2)Y)(2) (R = C(6)F(13)C(2)H(4) and C(4)F(9)C(2)H(4)), are highly fluorophilic and exhibit large partition coefficients in favor of fluorocarbon solvents over common organic solvents due to a double-layered structure where the stannoxane core is covered by fluoroalkyl groups. Under catalysis of these Lewis acids, fluorous technology allows novel transesterification and esterification in which a 100% yield of the desired esters is achievable with reactants in a strict 1:1 ratio. The catalysts are recovered from the fluorous phase quantitatively. More practically, the catalyst in fluorocarbon solution can be recycled for use in the next reaction repeatedly.
Face Detection with the Faster R-CNN (2016)

The Faster R-CNN has recently demonstrated impressive results on various object detection benchmarks. By training a Faster R-CNN model on the large scale WIDER face dataset, we report state-of-the-art results on two widely used face detection benchmarks, FDDB and the recently released IJB-A.
Tracing Information Flow from Open Quantum Systems in Integrated Waveguides (2021)

Quantum simulation is one of the core areas in the development of quantum technologies. Among the various simulation platforms, integrated waveguides have proven to be a powerful and versatile tool. One important aspect of quantum simulation is the analysis of open quantum systems. In most practical applications it is in fact essential to understand and control the dynamics between the quantum system and its environment. Typical effects of interest for example involve decoherence or memory effects, which lead to non-Markovian behavior. 
In this work we establish integrated waveguides as a tool for the simulation of open quantum systems. Using polarization as well as a photon's path degree of freedom, we implement the coupling of a qubit with a low dimensional discrete environment. Based on a measure of non-Markovianity, we define and quantify specific types of information and information transfer between system and environment. Experimentally we implement and verify non-Markovian evolution in an optical waveguide array and analyze types of information flow between system and environment realizable through integrated photonics.
Dynamic-segmentation-based feature dimension reduction for quick audio/video searching (2003)

We propose a new feature dimension reduction method for multimedia search. The main technique in the method is dynamic segmentation that partitions sequential feature trajectories dynamically. While dynamic segmentation reduces the average dimensionality and accelerates the search, it requires huge amount of calculation. Thus, our method quickly executes suboptimal partitioning of the trajectories by using the discreteness of dimension changes. This guarantees the optimal amount of calculation to derive the suboptimal partitioning under the condition that the dimension monotonously increases as the segment length increases. The experiment shows that our method is over 10 times faster than a straightforward dynamic segmentation method.
Eating-disordered behaviors and personality characteristics of high school athletes and nonathletes (1999)

High school athletes are not at greater risk for the development of an eating disorder than other students. Athlete's positive outlook on life and high self-efficacy may serve as protective factors. Alternatively, athletes may not be at risk until they train for one particular sport in a highly competitive environment.
Development of online learning groups based on MBTI learning style and fuzzy algorithm (2020)

Group development is an initial step and an important influence on learning collaborative problem solving (CPS) based on the digital learning environment (DLE). Group development based on the Myers-Briggs types indicators (MBTI) rule proved successful for the educational and industrial environment. The MBTI ideal group rules are reached when a group leader has the highest level of leadership and compatibility between group members. The level of leadership and suitability of group members is determined based on the MBTI learning style (LS). Problems arise when the population of MBTI LS with the highest level of leadership is over. This will lead to dual leadership problems and have an impact on group disharmony. This study proposes an intelligent agent software for the development of the ideal group of MBTI, using the Fuzzy algorithm. The intelligent agent was developed on the SKACI platform. SKACI is a DLE for CPS learning. Fuzzy algorithm for solving dual leadership problems in a group. Fuzzy algorithm is used to increase the population of MBTI LS to 3 levels, namely low, medium and high. Increasing the population of MBTI LS can increase the probability of forming an ideal group of MBTI. Intelligent agents are tested based on a quantitative analysis between experimental classes (applying intelligent agents), and control classes (without intelligent agents). Experiment results show an increase in performance and productivity is better in the experimental class than in the control class. It was concluded that the development of intelligent agents had a positive impact on group development based on the MBTI LS.