Miracle-dz/UniFAR-FTUs huggingface dataset:
Chapter 10 High-Throughput Genetics Strategies for Identifying New Components of Lipid Metabolism in the Green Alga Chlamydomonas reinhardtii

Microalgal lipid metabolism is of broad interest because microalgae accumulate large amounts of triacylglycerols (TAGs) that can be used for biodiesel production (Durrett et al Plant J 54(4):593–607, 2008; Hu et al Plant J 54(4):621– 639, 2008). Additionally, green algae are close relatives of land plants and serve as models to understand conserved lipid metabolism pathways in the green lineage. The green alga Chlamydomonas reinhardtii (Chlamydomonas hereafter) is a powerful model organism for understanding algal lipid metabolism. Various methods have been used to screen Chlamydomonas mutants for lipid amount or composition, and for identifi cation of the mutated loci in mutants of interest. In this chapter, we summarize the advantages and caveats for each of these methods with a focus on screens for mutants with perturbed TAG content. We also discuss technical opportunities and new tools that are becoming available for screens of mutants altered in TAG content or perturbed in other processes in Chlamydomonas.
The Discourse of Online Content Moderation: Investigating Polarized User Responses to Changes in Reddit’s Quarantine Policy

Recent concerns over abusive behavior on their platforms have pressured social media companies to strengthen their content moderation policies. However, user opinions on these policies have been relatively understudied. In this paper, we present an analysis of user responses to a September 27, 2018 announcement about the quarantine policy on Reddit as a case study of to what extent the discourse on content moderation is polarized by users’ ideological viewpoint. We introduce a novel partitioning approach for characterizing user polarization based on their distribution of participation across interest subreddits. We then use automated techniques for capturing framing to examine how users with different viewpoints discuss moderation issues, finding that right-leaning users invoked censorship while left-leaning users highlighted inconsistencies on how content policies are applied. Overall, we argue for a more nuanced approach to moderation by highlighting the intersection of behavior and ideology in considering how abusive language is defined and regulated.
Poroelastic Properties of the Arbuckle Group in Oklahoma Derived fromWell Fluid Level Response

The Arbuckle Group (Arbuckle) is a basal sedimentary unit that is the primary target for saltwater disposal in Oklahoma. Thus, the reservoir characteristics of the Arbuckle, including how the poroelastic properties change laterally and over time are of significant interest. We report observations of fluid level changes in two monitoring wells in response to the 3 September 2016 Mw 5.8 Pawnee and the 7 November 2016 Mw 5.0 Cushing earthquakes. We investigate the relationship between static strain resulting from these events and the fluid level changes observed in the wells. We model the fluid level response by estimating static strains from a set of earthquake source parameters and spatiotemporal poroelastic properties of the Arbuckle in the neighborhood of the monitoring wells. Results suggest that both the direction of the observed fluid level step and the amplitude can be predicted from the computed volumetric strain change and a reasonable set of poroelastic parameters. Modeling results indicate that poroelastic parameters differ at the time of the Pawnee and Cushing earthquakes, with a moderately higher Skempton’s coefficient required to fit the response to the Cushing earthquake. This may indicate that dynamic shaking resulted in physical alteration of the Arbuckle at distances up to ∼50 km from the Pawnee earthquake. Electronic Supplement: Overview map of the region of interest in Oklahoma along with seismicity, well completion diagrams, sensitivity of the root mean square (rms) error to the input parameters, and tables showing the best-fitting source and poroelastic parameters.
A Data-Driven Reflection on 36 Years of Security and Privacy Research

Meta-research—research about research—allows us, as a community, to examine trends in our research and make informed decisions regarding the course of our future research activities. Additionally, overviews of past research are particularly useful for researchers or conferences new to the field. In this work we use topic modeling to identify topics within the field of security and privacy research using the publications of the IEEE Symposium on Security & Privacy (1980-2015), the ACM Conference on Computer and Communications Security (1993-2015), the USENIX Security Symposium (1993-2015), and the Network and Distributed System Security Symposium (1997-2015). We analyze and present data via the perspective of topics trends and authorship. We believe our work serves to contextualize the academic field of computer security and privacy research via one of the first data-driven analyses. An interactive visualization of the topics and corresponding publications is available at https://secprivmeta.net.
branch points using RNA-seq LaSSO , a strategy for genome-wide mapping of intronic lariats and Material Supplemental

Material Supplemental http://genome.cshlp. org/content/suppl/2014/05/14/gr.166819. 113.DC1. html References http://genome.cshlp. org/content/24/7/1169.full. html#ref-list-1 This article cites 46 articles, 22 of which can be accessed free at: Open Access Open Access option. Genome Research Freely available online through the License Commons Creative . http://creativecommons.org/licenses/by/4.0 License (Attribution 4.0 International), as described at , is available under a Creative Commons Genome Research This article, published in
DeepShapeSketch : Generating hand drawing sketches from 3D objects

Freehand sketches are an important medium for expressing and communicating ideas. However creating a meaningful and understandable sketch drawing is not always an easy task especially for unskillful users. Existing methods for rendering 3D shape into line drawings such as Suggestive Contours, only consider the geometry-dependent and view-dependent information thus leads to over-regular or over-perfect results which doesn’t look like a human freehand drawing. For this challenge we address the problem of producing freehand line drawing sketches from a 3D object under a given viewpoint automatically. The core solution here is a recurrent generative deep neural network, which learns a functional mapping from the suggestive contours of a 3D shape to a more abstract sketch representation. We drop the encoder of the generator, i.e., use only a decoder to achieve better stability of the sketch structure. Users can tune the level of freehand style of the generated sketches by changing a single parameter. Experiments show that our results are expressive enough to faithfully describe the input shape and at the same time be with the style of freehand drawings created by a real human. We also perform a comparative user study to verify the quality and style of generated sketch results over existing methods. We also retrain our network using several different mingled dataset to test the extendibility of our method for this particular application. As far as our knowledge this work is the first research effort to automate the generation of human-like freehand sketches directly from 3D shapes.
Experimental study of coupled dynamic and electric characteristics of piezoelectric energy harvester under variable resistive load

The paper presents experimental study of dynamic and electric characteristics of cantilever-type bimorph piezoelectric energy harvester at the presence of varying resistive loads spanning from short circuit to open circuit conditions. Frequency response measurements of tip displacement and voltage output were performed in a setup with a differential laser Doppler vibrometer. Reported results include resonant frequency, tip displacement, quality factor as well as generated voltage, current and power. It is demonstrated that the magnitude of connected electrical load significantly influences power generated by the harvester as well as other characteristics. The trends in experimentally obtained data are analyzed and reasons behind them are discussed. Conducted experimental study allowed to characterize coupled mechanical and electrical performance of the standard piezoelectric energy harvester with well-defined geometric and material properties under variable electrical loading conditions. Measurement data will be used for verification and updating of the developed finite element model.
NON-TRIVIAL TOPOLOGICAL PHASE

Whereas SnTe is a inverted band gap topological crystalline insulator, the topological phase of the alloy Sn1−xInxTe, a topological superconductor candidate, has not been clearly studied so far. Our calculations show that the Sn1−xInxTe band gap reduces by increasing the In content, becoming a metal for x > 0.1. However, the band inversion at the fcc L point for both gapped and gapless phases has been maintained. Furthermore, the computed topological invariant shows a non-trivial phase with a mirror Chern number nM = −2 for In concentrations of x = 0.03125, x = 0.125, and x = 0.25. We also identify pairs of topologically protected states on the (001) surface of Sn1−xInxTe with ±i mirror eigenvalues. The character of these topological states is affected by In dopant. As the In content x increases, the Dirac crossing point moves further away from the L point, and the Fermi velocity of the topological states increases significantly. Our results demonstrate a non-trivial topological phase for the superconductor Sn1−xInxTe, and provide a detailed description of the topological state properties.
Growth and Optical Properties Investigation of Pure and Al-doped SnO 2 Nanostructures by Sol-Gel Method

SnO2 nanoparticles with different percentage of Al (5%, 15%, and25%) were synthesized by sol-gel method. The structure and nature of nanoparticles are determined by of X-ray diffraction analysis. Also, morphology of the samples is evaluated by SEM. Moreover, the optical properties of the samples are investigated with UV-Visible and FT-IR. The XRD patterns are indicated that all samples and incorporation aluminum ions into the SnO2 lattice have tetragonal rutile structure. The crystalline size of nanoparticles is decreased with increasing the Al percentage. The SEM results confirmed that the size of nanoparticles decreases with increasing the Al percentage. Also, FT-IR and UV-Visible results showed that the optical band gap of nanoparticles increases with the increasing the Al percentage. Finally, we have used the EDX analysis to study the chemical composition of the products. Pure tin and oxygen have been observed. The doped samples showed the existence of Al atoms in the samples of the crystal structure of SnO2.
FPGA implementation of bit controller in double-tick architecture

This paper presents a comparison of the two original architectures of programmable bit controllers built on FPGAs. Programmable Logic Controllers (which include, among other things programmable bit controllers) built on FPGAs provide a efficient alternative to the controllers based on microprocessors which are expensive and often too slow. The presented and compared methods allow for the efficient implementation of any bit control algorithm written in Ladder Diagram language into the programmable logic system in accordance with IEC61131-3. In both cases, we have compared the effect of the applied architecture on the performance of executing the same bit control program in relation to its own size.
Weight Loss Method for corrosion behaviour of Al-12 si-ZrC Composites Using Response Surface Methodology

This paper investigates the weight loss of ZrC nano particle reinforced with Al-12Si metal matrix composites produced by powder metallurgy. The acidic solutions used for corrosion is 1 N HCl, 1 N H2SO4 and 1 N HNO3. The reinforcement percentage was 0 wt. %, 5 wt. % and 10 wt. %. The result indicates that with the enhancement of nano ZrC particles into the matrix decrease the weight loss respectively. The corrosion behavior of composites was studied by SEM and weight loss method. As input parameters such as reinforcement, acid and time were designed by RSM design and the response parameter was weight loss was obtained experimentally by weight loss method. RSM design was investigated for the evaluation of interactions between response parameter and input parameters. The weight loss specifies varying results depending on the input values of the response parameters. The outcomes revealed that all the parameters had significant effects on the weight loss at 95 % confidence level.
PLANE-BASED CAMERA CALIBRATION WITHOUT DIRECT OPTIMIZATION ALGORITHMS

A new procedure for the calibration of a camera through the observation of a flat pattern from different points of view is propo sed. Effects of lens distortion on the estimation of a homography between the model plane d its image have been considered, obtaining a simultaneous estimate of th is homography and the distortion coefficients. As the distortion is mainly radial, i t is necessary to estimate previously the coordinates of the principal point so that they can be used for estimation of the distortion coefficients. The comparison of this method with cur rent non-linear optimization methods is shown in the paper.
2 3 41 5 6 7 8 9 1 2 3 4 T S

In this paper, we define Jump Point Graphs (JP), a preprocessing-based path-planning technique similar to Subgoal Graphs (SG). JP allows for the first time the combination of Jump Point Search style pruning in the context of abstraction-based speedup techniques, such as Contraction Hierarchies. We compare JP with SG and its variants and report new state-of-the-art results for grid-based pathfinding.
A 0 . 8V supply bulk-driven operational transconductance ampli fi er and GmC fi lter in 0 . 18 μ m CMOS process

A low voltage bulk-driven operational transconductance amplifier (OTA) and its application to implement a tunable Gm-C filter are presented. The linearity of the proposed OTA is achieved by nonlinear terms cancelation technique, using two paralleled differential topologies with opposite signs in the third-order harmonic distortion term of the differential output current. The proposed OTA uses 0.8V supply voltage and consumes 31. 2μW. The proposed OTA shows a total harmonic distortion of better than 40 dB over the tuning range of the transconductance, by applying 800mVppd sine wave input signal with 1MHz frequency. The OTA has been used to implement a third-order low-pass Gm-C filter, which can be used for wireless sensor network applications. The filter can operate as the channel select filter and variable gain amplifier, simultaneously. The gain of the filter can be tuned from 1 to 23 dB, which results in power consumptions of 187.2 to 450. 6μW, respectively. The proposed OTA and filter have been simulated in a 0.18 μm CMOS technology. Simulations of process corners and temperature variations are also included in the paper. Copyright © 2014 John Wiley & Sons, Ltd.
Superradiance of Bosonic Fermion Condensates

Superradiance is a radiation enhancement process that happens in many contexts in physics. One of its manifestations is what we call superradiant scattering. It is, generally, believed that fermionic fields cannot be superradiantly amplified, whereas bosonic fields can. Nevertheless, there are several examples in nature of fermion systems with bosonic behaviour, for instance, Cooper pairs in Bardeen-CooperSchrieffer (BCS) theory of superconductivity and mesons in particle physics. This raises the questions: Is it possible to have a fermion condensate which can exhibit superradiant amplification? Or, is there a non-linear interaction between fermions which enables them to exhibit superradiant amplification? The answer to these questions is of great importance to test the idea that the Penrose process is the particle analogous of superradiant scattering phenomenon. In this thesis, we review the cases of a charged scalar field scattering in a strong electrostatic potential barrier (Klein paradox) and in a Reissner-Nordström background, obtaining superradiant modes in both cases. Moreover, we prove the well known fact that Dirac fields cannot exhibit superradiant amplification both in the case of Klein paradox as well as in Reissner-Nordström black holes. Finally, for the first time, we give an example of a non-linear Dirac theory that admits superradiant solutions both in the Klein paradox and in the Reissner-Nordström background.
A ug 2 01 9 Anomalous ground state properties of SmB 6-a density functional theoretical study

We studied the electronic structure of SmB6 employing density functional theory (DFT) using different exchange potentials, spin-orbit coupling (SOC) and electron correlation (U = correlation strength). All the calculations carried out in this study converge to metallic ground state indicating bulk metallicity in SmB6, which is in line with the low temperature anomalies observed in this system. We show that while spin-orbit coupling and electron correlation is important to capture the ground state properties, generalized gradient approximation provides the best description of the Sm 4f multiplets observed in angle-resolved photoemission spectroscopy (ARPES) data. The Fermi surface plots exhibit electron pockets around X-point and hole pockets around ΓX line having dominant Sm 4f character; the observation of these Fermi surfaces is consistent with the recent quantum oscillation measurements. In addition to primarily Sm 4f contributions observed at the Fermi level, we discover significantly large contribution from B 2p states compared to weak Sm 5d contributions. This suggests important role of B 2p Sm 4f hybridization in the exotic physics of this system.
Charge Pump Circuits for Low-voltage Applications *

In this paper, a low-voltage, high performance charge pump circuit, suitable for implementation in standard CMOS technologies is proposed. Its pumping operation is based on cascading several crossconnected NMOS voltage doubler stages. For very low-voltage applications (1.2 V, 0.9 V), where the performance of the NMOS transistors is limited due to body effect, two improved versions of the charge pump with cascaded voltage doublers (charge pump with CVD) are also proposed. The first utilises PMOS transistors (charge pump with CVD-PMOS) in parallel to the cross-connected NMOS transistors, while the second improves the pumping gain by boosting the clock amplitude (charge pump with CVD-BCLK). Simulations at 50 MHz have shown that a five-stages charge pump with CVD can achieve a 1.5–8.4 V voltage conversion. For the same stage number and frequency, an output voltage of 4 and 7.3 V can be generated from 0.9 V, by using the charge pump with CVD-PMOS and the charge pump with CVD-BCLK, respectively.
Assessment of Selected Immunological Biomarkers in Active and Inactive SLE Patients in HUSM

Lupus nephritis (LN) is characterized by renal deposition of immune complexes and it is a serious complication in Systemic Lupus Erythematosus (SLE). Normally, serum levels of anti-dsDNA antibodies and complement levels are used to identify patients with high disease activity and at risk for developing LN. The aim of the study was to assess the level of selected immunological biomarkers (anti-dsDNA, Complement C3 and Complement C4) in active and inactive LN patients. A total of 30 LN patients were enrolled in this study, 15 of which were diagnosed as having active LN, 15 with inactive LN and 15 healthy controls. The serums of each study groups were measured using indirect immunofluorescence assay (IIF) for anti-dsDNA and immunonephelometry for C3 and C4. Statistical analyses were performed using SPSS software, version 22.0 and values were expressed as mean ± standard deviation (SD). The results were analyzed by One-Way ANOVA, independent t-test and chi-square test. Anti-dsDNA antibodies were detected in less than one-third of patients in active and inactive LN patients (26.67%). Active LN patients presented a higher frequency of anti-dsDNA as compared to inactive LN patients (46.67% vs. 6.67%, p=0.013). However, no significant difference was found in C3 for both LN groups. Meanwhile, C4 demonstrated significant results (inactive LN; 0.24 g/l (0.11 g/l), active LN; 0.16 g/l (0.12 g/l), p=0.049). In conclusion, anti-dsDNA antibodies and C4 may have a great potential as diagnostic factors for active LN and as predictors for its disease activity.
TASK-AGNOSTIC CONSTRAINING IN AVERAGE RE-

We study the shape of the average reward as a function over the memoryless stochastic policies in infinite-horizon partially observed Markov decision processes. We show that for any given instantaneous reward function on state-action pairs, there is an optimal policy that satisfies a series of constraints expressed solely in terms of the observation model. Our analysis extends and improves previous descriptions for discounted rewards or which covered only special cases.
The potassium channel interacting proteins (KChIP) is a group of multifunctional calcium-binding proteins generated by alternative splicing from primary hnRNAs encoded by four different genes (kcnip1 to 4) (Pruunsild and Timmusk

Expression of the downstream regulatory element antagonist modulator (DREAM) protein in dorsal root ganglia and spinal cord is related to endogenous control mechanisms of acute and chronic pain. In primary sensory trigeminal neurons, high levels of endogenous DREAM protein are preferentially localized in the nucleus, suggesting a major transcriptional role. Here, we show that transgenic mice expressing a dominant active mutant of DREAM in trigeminal neurons show increased responses following orofacial sensory stimulation, which correlates with a decreased expression of prodynorphin and brain-derived neurotrophic factor in trigeminal ganglia. Genome-wide analysis of trigeminal neurons in daDREAM transgenic mice identified cathepsin L and the monoglyceride lipase as two new DREAM transcriptional targets related to pain. Our results suggest a role for DREAM in the regulation of trigeminal nociception.
Encyclopedia of research design

Research design, with its statistical underpinnings, can be especially daunting for students and novice researchers. At its heart, research design might be described simply as a formalized approach toward problem solving, thinking, and acquiring knowledge, the success of which depends upon clearly defined objectives and appropriate choice of statistical design and analysis to meet those objectives. Our three-volume Encyclopedia of Research Design elucidates how one makes decisions about research design, interprets data and draws valid inferences, undertakes research projects in an ethical manner, and evaluates experimental design strategies and results. From A-to-Z, this work covers the spectrum of research design strategies and topics including, among other things: fundamental research design principles, ethics in the research process, quantitative versus qualitative and mixed-method designs, completely randomized designs, multiple comparison tests, diagnosing agreement between data and models, fundamental assumptions in analysis of variance, factorial treatment designs, complete and incomplete block designs, Latin square and related designs, hierarchical designs, response surface designs, split-plot designs, repeated measures designs, crossover designs, analysis of covariance, statistical software packages, and much more.