Miracle-dz/UniFAR-FTUs huggingface dataset:
Expression of Notch 1 and Numb in small cell lung cancer

Notch signaling in tumorigenesis functions as an oncogene or tumor suppressor according to the type of malignancy. Numb represses intracellular Notch signaling. Previous studies have demonstrated that Notch signaling suppresses the proliferation of small cell lung cancer (SCLC) cell lines. However, in SCLC, the association between Notch1 and Numb expression and clinicopathological factors or prognosis has remained unclear. In this study, we evaluated the expression of Notch1 and Numb in SCLC. We immunohistochemically assessed 125 SCLCs that were surgically resected at 16 institutions participating in either the Hokkaido Lung Cancer Clinical Study Group Trial (HOT) or the Fukushima Investigative Group for Healing Thoracic Malignancy (FIGHT) between 2003 and 2013. Correlations between Notch1 or Numb expression and various clinicopathological features were evaluated. Notch1 expression was www.impactjournals. com/oncotarget/ Oncotarget, 2017, Vol. 8, (No. 6), pp: 10348-10358
Exploring unknown life stages of Arctic Tanytarsini (Diptera: Chironomidae) with DNA barcoding

We present the first results from a project on Spitsbergen and Bear Island where the ultimate goal is to provide genetic and morphological identification keys to all species. Five Tanytarsini species have been recorded from Svalbard. By sequencing partial COI gene sequences, we have associated larvae of all of these, and describe the hitherto undescribed larval stages of Microspectra insignilobus Kieffer, M. radialis Goetghebuer and Tanytarsus heliomesonyctios Langton. We also present keys to larva, pupa and imagines of all Tanytarsini species found on Svalbard and discuss larval morphology in relationship to characters preserved in subfossil material. Of particular interest is the mandible and mentum of T. heliomsonyctios which show close resemblance to the tentatively associated larvae of Corynocera oliveri Lindeberg. An overview over Tanytarsus species with “lugens-type” larvae is given and the phylogenetic value of mandibular accessory teeth is briefly discussed.
IMPROVING QUALITY OF SPEECH SYNTHESIS IN INDIAN LANGUAGES

Harmonic plus noise model (HNM) which divides the speech signal in two sub bands: harmonic and noise, is implemented with the objective of studying its capabilities for improving the quality of speech synthesis in Indian languages. Investigations show that HNM is capable of synthesizing all vowels and syllables with good quality. All the syllables are intelligible if synthesized using only harmonic part except / a ∫ a / and / asa /. This fact can reduce the size of the database. For pitch synchronous analysis and synthesis glottal closure instants (GCIs) should be accurately calculated. The quality of synthesized speech improves if these instants are obtained from the glottal signal (output of an impedance glottograph) instead of these being obtained by processing the speech signal. Further the noise part is synthesized pitch synchronously for voiced frames. A database of HNM parameters for VCV syllables is developed for Indian languages. The number of parameters for each frame is comparable to that of formant synthesizer but the quality of synthesized speech is much better.
Analysis of flow behaviour of iron and steel using power law models

The tensile flow behaviour of mechanically milled iron and a low-alloy steel are analysed using power law models that describe the evolution of stress–strain during a tensile test. A new analytical power law equation is presented that is shown to be superior to the Hollomon and Ludwigson equation to describe the room temperature flow properties of the low-alloy steel over a wide strain rate range. It not only provides a better fit to the homogenous flow curve of the low-alloy steel but also predicts the maximum strength without the prior knowledge of the uniform strain. The new equation also fitted the flow curves of mechanically milled iron with grain sizes in nano to micrometer range.
Exploiting Multi-Cell Battery for Mobile Devices: Design, Management, and Performance

Extending battery lifetime is an important issue for mobile devices. While extensive attempts have been made at the software level, optimization often risks hampering user experience. One fundamental method to increase battery lifetime is to improve the efficiency of the battery itself. We argue that the multi-cell battery system, which is widely used for enhancing battery efficiency in the electric vehicle (EV) field, can solve this issue. However, due to the hardware constraints and device usage characteristics, battery advancements in the EV field are not directly applicable to mobile devices. In this paper, we propose BattMan, a multi-cell battery management system for mobile devices, for the enhancement of battery efficiency. We develop an accurate battery cell model to estimate the expected battery lifetime considering the recovery effect, the rate capacity effect, and battery aging. We also propose a multi-cell scheduling algorithm to maximize the overall battery lifetime. We implemented BattMan on recent smartphones and evaluated its impact on battery lifetime. The experimental results show that a two-cell configuration of the proposed system increases battery lifetime by an average of between 14-19%, depending on cell aging, in real usage scenarios over a single-cell battery of the same overall capacity. We hope the proposed multi-cell battery scheme opens up a new direction towards battery lifetime improvement in mobile devices.
STABILIZED MIXED FINITE ELEMENT METHOD FOR TRANSIENT DARCY FLOW

Darcy flow is a steady-state model for laminar flow of a fluid through a porous medium. The present work proposes an extended model of laminar Darcy flow by introducing dynamic pressure and velocity to the classical formulation. The solution of the proposed time-space model is attained by discretizing the problem with a stabilized mixed Galerkin method in space and a forward Euler method in time. The resulting matrix equation is well-posed and is solved using the conjugate gradient (CG) method. The error analysis of the numerical solutions confirms convergence to the actual model.
Sentiment Analysis of Code-Mixed Indian Languages: An Overview of SAIL_Code-Mixed Shared Task @ICON-2017

Sentiment analysis is essential in many real-world applications such as stance detection, review analysis, recommendation system, and so on. Sentiment analysis becomes more difficult when the data is noisy and collected from social media. India is a multilingual country; people use more than one languages to communicate within themselves. The switching in between the languages is called code-switching or code-mixing, depending upon the type of mixing. This paper presents overview of the shared task on sentiment analysis of code-mixed data pairs of Hindi-English and Bengali-English collected from the different social media platform. The paper describes the task, dataset, evaluation, baseline and participant's systems.
Caractérisation expérimentale et modélisation du comportement mécanique de matériaux architecturés en Nickel-Titane

The aim of the study is to create architectured materials constituted of NiTi tubes combining the intrinsic and novel properties of Nickel-Titanium shape memory alloys with purposely engineered topologies. By joining thin-wall superelastic tubes by means of electrical resistance welding, we create regular cellular materials. The superelastic behaviors of two simple architectured materials based on identical tubes but with two topologies are modeled using finite element approaches. Large transformations are taken into account and predicted behaviors are compared by simulating complex loading, exploring the influence of the constitutive material behavior on effective mechanical properties of cellular materials. The parameters of the constitutive equations are identified on tensile tests performed on small dog-bone shaped specimens machined from the tubes by spark cutting. The results of the modeling are at last compared with compression tests performed on these simple architectured NiTi materials. Mots clefs : Alliages a Memoire de Forme, NiTi, materiaux architectures.
Combined aesthetic interventions for prevention of facial ageing, and restoration and beautification of face and body

The Merz Institute of Advanced Aesthetics Expert Summit was held in Prague, Czech Republic, from 19–20 November 2016. The meeting had a distinct advisory board character and invited aesthetic practitioners from all over the world to hear an international faculty present a range of keynote lectures and conduct live injection sessions with an emphasis on recent developments in combination aesthetic interventions for face and body rejuvenation and beautification. Aging is associated with changes in bones, muscles, ligaments, adipose tissue, and skin and, moreover, involves interactions among these tissue types. To achieve the most natural and harmonious rejuvenation of the face, all changes that result from the aging process should be corrected, which generally involves treatment with more than a single agent or technology. Presentations described innovative treatment algorithms for the face and body and focused on patients’ desires for natural-looking rejuvenation and how this requires a three-dimensional approach combining products that relax the musculature, volumize, and re-drape the skin. Besides treating the aging face, these procedures are increasingly used to enhance facial features as well as to delay facial aging in younger patients. The presentations covered patients from different ethnicities as well as the treatment of non-facial areas, with a particular focus on the use of Ultherapy® for skin lifting and tightening, and new aesthetic procedures such as Cellfina® and diluted Radiesse®. The current report provides a summary of key presentations from the meeting.
Discordance in investigator-reported and adjudicated sudden death in TIOSPIR

Accurate and consistent determination of cause of death is challenging in chronic obstructive pulmonary disease (COPD) patients. TIOSPIR (N=17 135) compared the safety and efficacy of tiotropium Respimat 5/2.5 µg with HandiHaler 18 µg in COPD patients. All-cause mortality was a primary end-point. A mortality adjudication committee (MAC) assessed all deaths. We aimed to investigate causes of discordance in investigator-reported and MAC-adjudicated causes of death and their impact on results, especially cardiac and sudden death. The MAC provided independent, blinded assessment of investigator-reported deaths (n=1302) and assigned underlying cause of death. Discordance between causes of death was assessed descriptively (shift tables). There was agreement between investigator-reported and MAC-adjudicated deaths in 69.4% of cases at the system organ class level. Differences were mainly observed for cardiac deaths (16.4% investigator, 5.1% MAC) and deaths assigned to general disorders including sudden death (17.4% investigator, 24.6% MAC). Reasons for discrepancies included investigator attribution to the immediate (e.g. myocardial infarction (MI)) over the underlying cause of death (e.g. COPD) and insufficient information for a definitive cause. Cause-specific mortality varies in COPD, depending on the method of assignment. Sudden death, witnessed and unwitnessed, is common in COPD and often attributed to MI without supporting evidence. Investigator-attributed causes of death may lead to unreliable estimates of cause-specific mortality in COPD http://ow.ly/uzt9308TePH
Membrane curvature in cell biology: An integration of molecular mechanisms

Curving biological membranes establishes the complex architecture of the cell and mediates membrane traffic to control flux through subcellular compartments. Common molecular mechanisms for bending membranes are evident in different cell biological contexts across eukaryotic phyla. These mechanisms can be intrinsic to the membrane bilayer (either the lipid or protein components) or can be brought about by extrinsic factors, including the cytoskeleton. Here, we review examples of membrane curvature generation in animals, fungi, and plants. We showcase the molecular mechanisms involved and how they collaborate and go on to highlight contexts of curvature that are exciting areas of future research. Lessons from how membranes are bent in yeast and mammals give hints as to the molecular mechanisms we expect to see used by plants and protists.
The Cost of Credibility: Explaining Resistance to Interstate Dispute Resolution Mechanisms

This paper explains why the use of mandatory dispute resolution clauses is the exception rather than the rule in international agreements. On one hand, these clauses increase the sanction for violation of the agreement and thereby increase the probability that the parties will comply. On the other hand, dispute resolution clauses impose a loss on the parties when violations occur. States, therefore, must balance the credibility and compliance benefits of a mandatory dispute resolution provision against the joint costs imposed by those provisions in the event of a violation. The paper develops a series of predictive and normative results based on the trade‐off. For example, dispute resolution clauses are more likely in low‐stakes than high‐stakes agreements, in multilateral rather than bilateral agreements, and when tribunals are more accurate. The paper also offers support for the view that money damages (or other zero‐sum transfers) should be encouraged in international dispute resolution.
Health-related quality of life in a community sample of preschool-age children with and without obesity

Abstract While mothers seeking obesity treatment for preschoolers report poorer child health-related quality of life (HRQOL) than mothers of healthy-weight peers, little is known about this relationship in non-clinical preschoolers. Eighty-six mothers of 3–5-year-olds completed the parent-proxy PedsQL. HRQOL scores for children with obesity and without were compared. No significant differences were found between groups for any PedsQL subscales, nor did differences reach established minimally clinically important differences. Mothers of preschoolers with obesity from the community did not report poorer HRQOL. If parents do not view their child’s HRQOL as impacted by weight status, they may be unlikely to seek treatments.
Manifold Regularized Reinforcement Learning

This paper introduces a novel manifold regularized reinforcement learning scheme for continuous Markov decision processes. Smooth feature representations for value function approximation can be automatically learned using the unsupervised manifold regularization method. The learned features are data-driven, and can be adapted to the geometry of the state space. Furthermore, the scheme provides a direct basis representation extension for novel samples during policy learning and control. The performance of the proposed scheme is evaluated on two benchmark control tasks, i.e., the inverted pendulum and the energy storage problem. Simulation results illustrate the concepts of the proposed scheme and show that it can obtain excellent performance.
Distributed Caching for Complex Querying of Raw Arrays

Author(s): Zhao, Weijie; Rusu, Florin; Dong, Bin; Wu, Kesheng; Ho, Anna YQ; Nugent, Peter | Abstract: As applications continue to generate multi-dimensional data at exponentially increasing rates, fast analytics to extract meaningful results is becoming extremely important. The database community has developed array databases that alleviate this problem through a series of techniques. In-situ mechanisms provide direct access to raw data in the original format---without loading and partitioning. Parallel processing scales to the largest datasets. In-memory caching reduces latency when the same data are accessed across a workload of queries. However, we are not aware of any work on distributed caching of multi-dimensional raw arrays. In this paper, we introduce a distributed framework for cost-based caching of multi-dimensional arrays in native format. Given a set of files that contain portions of an array and an online query workload, the framework computes an effective caching plan in two stages. First, the plan identifies the cells to be cached locally from each of the input files by continuously refining an evolving R-tree index. In the second stage, an optimal assignment of cells to nodes that collocates dependent cells in order to minimize the overall data transfer is determined. We design cache eviction and placement heuristic algorithms that consider the historical query workload. A thorough experimental evaluation over two real datasets in three file formats confirms the superiority -- by as much as two orders of magnitude -- of the proposed framework over existing techniques in terms of cache overhead and workload execution time.
Height and Body Composition Determine Arm Propulsive Force in Youth Swimmers Independent of a Maturation Stage

Abstract The aim of this study was to examine the relationship between anthropometric variables, body composition and propulsive force in swimmers aged 9-17 years. Anthropometric characteristics (body height and mass, sitting height, arm span, arm muscle area and body composition) and the propulsive force of the arm (tethered swimming test) were evaluated in 56 competitive male swimmers. Tanner’s stages of genital maturation (P1-5) were used. The data analysis included correlations and multiple linear regression. The propulsive force of the arm was correlated with body height (r = 0.34; p =0.013), arm span (r = 0.29; p =0.042), sitting height (r = 0.36; p =0.009), % body fat (r = 0.33; p =0.016), lean body mass (r = 0.34; p =0.015) and arm muscle area (r = 0.31; p =0.026). Using multiple linear regression models, the percent body fat and height were identified as significant predictors of the propulsive force of the arm after controlling for the maturation stage. This model explained 22% (R2 = 0.22) of associations. In conclusion, the propulsive force of swimmers was related to body height and percent body fat
Generation of infectious RNA complexes in orbiviruses: RNA-RNA interactions of genomic segments

Viruses with segmented RNA genomes must package the correct number of segments for synthesis of infectious virus particles. Recent studies suggest that the members of the Reoviridae family with segmented double-stranded RNA genomes achieve this challenging task by forming RNA networks of segments prior to their recruitment into the assembling capsid albeit direct evidence is still lacking. Here, we investigated the capability of virus recovery by preformed complexes of ten RNA segments of H Virus (EHDV), a Reoviridae member, by transcribing exact T7 cDNA copies of genomic RNA segments in a single in vitro reaction followed by transfection of mammalian cells. The data obtained was further confirmed by RNA complexes generated from Bluetongue virus, another family member. Formation of RNA complexes was demonstrated by sucrose gradient ultracentrifugation, and RNA-RNA interactions inherent to the formation of the RNA complexes were demonstrated by electrophoretic mobility shift assay. Further, we showed that disruption of RNA complex formation inhibits virus recovery, confirming that recruitment of complete RNA networks is essential for packaging and consequently, virus recovery. This efficient reverse genetics system will allow further understanding of evolutionary relationships of Reoviridae members and may also contribute to development of antiviral molecules.
Evidence for strong dynamical evolution in disc galaxies through the last 11 Gyr. GHASP VIII – a local reference sample of rotating disc galaxies for high‐redshift studies

Due to their large distances, high-redshift galaxies are observed at a very low spatial resolution. In order to disentangle the evolution of galaxy kinematics from low-resolution effects, we have used Fabry-Perot 3D Hα data cubes of 153 nearby isolated galaxies selected from the Gassendi Hα survey of SPirals (GHASP) to simulate data cubes of galaxies at redshift z = 1.7 using a pixel size of 0.125 arcsec and a 0.5 arcsec seeing. We have derived Hα flux, velocity and velocity dispersion maps. From these data, we show that the inner velocity gradient is lowered and is responsible for a peak in the velocity dispersion map. This signature in the velocity dispersion map can be used to make a kinematical classification, but misses 30 per cent of the regular rotating discs in our sample. Toy models of rotating discs have been built to recover the kinematical parameters and the rotation curves from low-resolution data. The poor resolution makes the kinematical inclination uncertain and the position of galaxy centre difficult to recover. The position angle of the major axis is retrieved with an accuracy higher than 5° for 70 per cent of the sample. Toy models also enable us to retrieve statistically the maximum velocity and the mean velocity dispersion of galaxies with a satisfying accuracy. This validates the use of the Tully-Fisher relation for high-redshift galaxies, but the loss of resolution induces a lower slope of the relation despite the beam smearing corrections. We conclude that the main kinematic parameters are better constrained for galaxies with an optical radius at least as large as three times the seeing. The simulated data have been compared to actual high-redshift galaxy data observed with VLT/SINFONI, Keck/OSIRIS and VLT/GIRAFFE in the redshift range 3 > z > 0.4, allowing us to follow galaxy evolution from 11 to 4 Gyr. For rotation-dominated galaxies, we find that the use of the velocity dispersion central peak as a signature of rotating discs may misclassify slow and solid body rotators. This is the case for ∼30 per cent of our sample. We show that the projected local data cannot reproduce the high velocity dispersion observed in high-redshift galaxies except when no beam smearing correction is applied. This unambiguously means that, unlike local evolved galaxies, there exists at high redshift at least a population of disc galaxies for which a large fraction of the dynamical support is due to random motions. We should nevertheless ensure that these features are not due to important selection biases before concluding that the formation of an unstable and transient gaseous disc is a general galaxy formation process.
Novel Concepts of Altered Immunoglobulin G Galactosylation in Autoimmune Diseases

The composition of the conserved N297 glycan in immunoglobulin G (IgG) has been shown to affect antibody effector functions via C1q of the complement system and Fc gamma receptors (FcγR) on immune cells. Changes in the general levels of IgG-glycoforms, such as lowered total IgG galactosylation observed in many autoimmune diseases have been associated with elevated disease severity. Agalactosyslated IgG has therefore been regarded and classified by many as pro-inflammatory. However, and somewhat counterintuitively, agalactosylation has been shown by several groups to decrease affinity for FcγRIII and decrease C1q binding and downstream activation, which seems at odds with this proposed pro-inflammatory nature. In this review, we discuss these circumstances where altered IgG galactosylation/glycosylation is found. We propose a novel model based on these observations and current biochemical evidence, where the levels of IgG galactosylation found in the total bulk IgG affect the threshold required to achieve immune activation by autoantibodies through either C1q or FcγR. Although this model needs experimental verification, it is supported by several clinical observations and reconciles apparent discrepancies in the literature, and suggests a general mechanism in IgG-mediated autoimmune diseases.