gebhart/patrepeval huggingface dataset:
The Risk of Switch to Mania in Patients With Bipolar Disorder During Treatment With an Antidepressant Alone and in Combination With a Mood Stabilizer (2014)

In this national registry study, antidepressant monotherapy was associated with an increased risk of mania. However, no risk of mania was seen in patients receiving an antidepressant while treated with a mood stabilizer. The results highlight the importance of avoiding antidepressant monotherapy in the treatment of bipolar disorder.
Analysis of ingenol and its conjugates in some species of the Euphorbia genus by ultra-high performance liquid chromatography-tandem mass spectrometry using isotope dilution method (2015)

Ingenol is a chemically and biologically important plant-derived diterpenoid compound, first isolated in 1968 from the seed oil of a leafy shrub Croton tiglium belonging to the Euphorbiaceae plant family. Ingenol is the key precursor for the synthesis of ingenol mebutate (angelate), used to treat actinic keratosis. Although, its total synthesis was published lately, isolation from natural raw material is still used for its industrial scale production. Therefore, a rich source of ingenol seems to be of great economic importance. We have developed an ultra-high performance liquid chromatography-tandem mass spectrometry method for screening of ingenol in 38 species of the Euphorbia genus. The highest ingenol concentration (547 mg.kg-1 of dry weight) was found in the lower leafless stems of E. myrsinites. Moreover, three ingenol conjugates (two known: 3-O-deca(2'Z,4'E)-dienoyl ingenol, 20-O-acetyl-3-O-deca(2'Z, 4'E)-dienoyl ingenol and one new: 3-O-octa (2'Z,4'E)-dienoyl ingenol) were successfully identified in E. myrsinites by means of accurate mass determination.
Hydrodynamic Coupling Melts Acoustically Levitated Crystalline Rafts (2022)

The acoustic levitation of small particles provides a versatile platform to investigate the collective dynamical properties of self-assembled many-body systems in the presence of hydrodynamic coupling. However, acoustic scattering forces can only generate attractive interactions at close range in the levitation plane, limiting self-assembly to rafts where particles come into direct, dissipative, contact. Here, we overcome this limitation by using particles small enough that the viscosity of air establishes a repulsive streaming flow at close range. By tuning the size of particles relative to the characteristic length scale of the viscous flow, we control the interplay between attractive and repulsive forces. In this novel granular raft, particles form an open lattice with tunable spacing. Hydrodynamic coupling between particles gives rise to spontaneous excitations in the lattice, in turn driving intermittent particle rearrangements. Under the action of these fluctuations, the raft transitions from a predominantly quiescent, crystalline structure, to a two-dimensional liquid-like state. We show that this transition is characterized by dynamic heterogeneity and intermittency, as well as cooperative particle movements, that produce an effectively `cageless' crystal. These findings shed light on fluid-coupling driven excitations that are difficult to isolate and control in many other hydrodynamic systems.
Asymmetric crossing shock wave-turbulent boundary layer interaction (1995)

A collaborative experimental and theoretical study of the asymmetric crossing-shock- wave/turbulent-boundarylayer interaction is presented. The shock waves are generated by a pair of asymmetric fins that are mounted normal to a flat plate and form a converging channel. The focus of the study is the interaction of the shock waves with the turbulent boundary layer on the flat plate. Two configurations with fin angles 7 X 11 and 15 x 11 deg have been examined at Mach 3.9. Experimental data include surface pressure and heat transfer, adiabatic wall temperature, surface flow visualization, and planar laser scattering images. The computations solve the three-dimensional Reynolds-averaged compressible Navier-Stokes equations incorporating the two equation Chien k-e turbulence model. The computed surface pressure displays good agreement with experiment. The computed and experimental surface pressure and flowfield flow visualization are in general agreement. The computed surface heat transfer displays significant disagreement with experiment. The flowfield manifests a complex shock wave system and a pair of counter-rotating vortices.
RICE: Refining Instance Masks in Cluttered Environments with Graph\n Neural Networks (2021)

Segmenting unseen object instances in cluttered environments is an important\ncapability that robots need when functioning in unstructured environments.\nWhile previous methods have exhibited promising results, they still tend to\nprovide incorrect results in highly cluttered scenes. We postulate that a\nnetwork architecture that encodes relations between objects at a high-level can\nbe beneficial. Thus, in this work, we propose a novel framework that refines\nthe output of such methods by utilizing a graph-based representation of\ninstance masks. We train deep networks capable of sampling smart perturbations\nto the segmentations, and a graph neural network, which can encode relations\nbetween objects, to evaluate the perturbed segmentations. Our proposed method\nis orthogonal to previous works and achieves state-of-the-art performance when\ncombined with them. We demonstrate an application that uses uncertainty\nestimates generated by our method to guide a manipulator, leading to efficient\nunderstanding of cluttered scenes. Code, models, and video can be found at\nhttps://github.com/chrisdxie/rice .\n
Homolytic acylation of benzothiazole. A diagnostic criterion for the presence of acyl radicals (1971)

Benzothiazole is acylated by acyl radicals obtained from aldehydes selectively in the 2-position. The nucleophilic character of acyl radicals is also confirmed by the higher reactivity of the 6-nitro-derivative. The high reactivity is useful in syntheses; this reaction can also be used as a diagnostic criterion for revealing the presence of acyl radicals in the oxidation of aldehydes with various oxidizing agents (O2, CeIV, CrVI, or MnVI).
Smart Gel Light-Modulation Materials (2005)

We have developed “Smart Gel” light-modulation material and system, which imitate the manner of pigment cells of cephalopods, such as octopus or squids. This material exhibits tremendous ability to modulate the absorption of visible light. This material consists of stimuli-responsive polymer gel particles and pigments dispersed in the gels with a high concentration. The light-modulation mechanism of the system is a synergic effect between change of light absorption area and absorption efficiency of pigments according to reversible volume change of the colored gel particles. The essential factors dominating the light modulation ability are the concentration of pigment, the volume change ratio and size of gel particles. A test sample of the light modulator indicated supreme light modulation ability. Furthermore, a flexible and durable light-modulation film could be assembled using the light-modulation layer, which the gel particles dispersed in resin matrices. The novel light-modulation material and system own various advantages such as excellent light-modulation ability, high durability and color varieties. We anticipate the light-modulation material and system may find applications in display devices, light-modulator or other optical devices.
Split and Merge Functions for Supporting Multiple Processing Pipelines in Mercury BLASTN (2010)

Biosequence similarity search is an important application in computational biology. Mercury BLASTN, an FPGA-based implementation of BLAST for DNA, is one of the alternatives for fast DNA sequence comparison. The re-design of BLAST into a streaming application combined with a high-throughput hardware pipeline have enabled Mercury BLAST to emerge as one of the fastest implementations of bio-sequence similarity search. This performance can be further enhanced by exploiting the data-level parallelism present within the application. Here we present a multiple FPGA-based Mercury BLASTN design in order to double the speed and throughput of DNA sequence computation. This paper describes a dual Mercury BLASTN design, the detailed design of the split and merge functions, and simulation results.
Role of Cooling Techniques and Fuels in Enhancing Power and Efficiency of Gas Turbine Plants (2012)

Performance analysis of different gas turbine power plant configurations is presented in this paper. The work includes the effect of humidity, ambient inlet air temperature and types of fuels on gas turbine plant configurations with and without cooling technologies. Investigation also covers economic analysis. 20 MWe GE 5271RA and 40 MWe GE-6561B frames are selected for the present study. GT PRO software has been used for carrying out the simulations for a given location of Saudi Arabia. The relative humidity and temperature have been varied from 30 to 45 % and from 80 to 100° F, respectively. Fuels considered in the study are natural gas, diesel and heavy bunker oil. Results show that variation of humidity does not affect the gas turbine performance for all types of fuels. For GT only situation, for a decrease of ambient inlet air temperature by 10 °F, plant net output and efficiency have been found to increase by 4%, 1 % respectively, for all fuels. However, with addition of, fogger, plant net output and efficiency further increase by 3 %, 1% respectively. For all GT frames with fogger, the net plant output and efficiency are relatively higher as compared to GT only case for all fuels. The net plant output and efficiency for natural gas are higher as compare to other fuels for all GT scenarios. For 40 MWe frame with and without fogger, break even fuel price and electricity price have been found to vary from 2.03 to 2.22 USD/MMBTU and from 0.024 to 0.026 USD/kWh respectively.
PCR-based subtractive hybridization and differences in gene content among strains of Helicobacter pylori (1998)

Genes that are characteristic of only certain strains of a bacterial species can be of great biologic interest. Here we describe a PCR-based subtractive hybridization method for efficiently detecting such DNAs and apply it to the gastric pathogen Helicobacter pylori. Eighteen DNAs specific to a monkey-colonizing strain (J166) were obtained by subtractive hybridization against an unrelated strain whose genome has been fully sequenced (26695). Seven J166-specific clones had no DNA sequence match to the 26695 genome, and 11 other clones were mixed, with adjacent patches that did and did not match any sequences in 26695. At the protein level, seven clones had homology to putative DNA restriction-modification enzymes, and two had homology to putative metabolic enzymes. Nine others had no database match with proteins of assigned function. PCR tests of 13 unrelated H. pylori strains by using primers specific for 12 subtracted clones and complementary Southern blot hybridizations indicated that these DNAs are highly polymorphic in the H. pylori population, with each strain yielding a different pattern of gene-specific PCR amplification. The search for polymorphic DNAs, as described here, should help identify previously unknown virulence genes in pathogens and provide new insights into microbial genetic diversity and evolution.
Supplementary Materials and Methods from A Melanoma Cell State Distinction Influences Sensitivity to MAPK Pathway Inhibitors (2023)

&lt;p&gt;PDF file 272K, This file contains an extended description of the materials and methods used to generate steady-state protein expression, drug sensitivity, lysate generation and blotting techniques along with all DNA sequences for loss of function reagents&lt;/p&gt;
Demonstration of the Use of Bayesian Priors in GHG retrievals from Laser Heterodyne Radiometer Measurements (2022)

&amp;lt;p&amp;gt;George Washington University and Mesa Photonics are developing and deploying a Laser Heterodyne Radiometer (LHR) that simultaneously measures CO&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt;, CH&amp;lt;sub&amp;gt;4&amp;lt;/sub&amp;gt;, H&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt;O, and O&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt;. Because oxygen concentrations are nearly invariant throughout the troposphere and lower stratosphere its line shape is dependent only on pressure and temperature, and analysis of its line shape can be used to improve GHG retrieval precision and provide dry-air corrections. To constrain these fits, pressure and temperature profiles for our LHR data retrieval algorithm can be obtained from the weather data measured by radiosondes as part of NOAA&amp;amp;#8217;s Integrated Global Radiosonde Archive (IGRA). In a recent paper, we reported on the statistical analysis of this data and highlighted how it can not only be used to constrain both the temperature and pressure profiles, but also the vertical profiles of water mixing ratios. &amp;amp;#160;Not only do mean values of radiosonde temperature, pressure, and humidity provide useful priors in column retrievals, but the narrow distributions above near-surface altitudes create realistic constraints to retrieval results.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;For other greenhouse gases (specifically CO&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; and CH&amp;lt;sub&amp;gt;4&amp;lt;/sub&amp;gt;), prior data to constrain these vertical profiles is much sparser and a different approach is required.&amp;amp;#160; The Bayesian paradigm applies prior knowledge and observations to a model being tested. It is the foundation upon which inverse modeling in the atmospheric sciences is built and involves weighting the error the find the optimal value of a state vector given the observations.&amp;amp;#160; In this presentation we demonstrate how continuous LHR data from a stationary sensor can be used to refine an initial &amp;lt;em&amp;gt;prior&amp;lt;/em&amp;gt; based on available (and widely distributed spatially and temporally) &amp;amp;#160;global GHG vertical profiles to constrain data from site-specific installations.&amp;amp;#160; Further, we will demonstrate the robustness of this technique to follow temporal excursions such as surface emission events.&amp;amp;#160; Initially, this algorithm is applied to synthetic data with a goal of application to the data stream from a sensor scheduled to go on line at the Smithsonian Environmental Research Center (Edgewater, Maryland, USA) in the 2&amp;lt;sup&amp;gt;nd&amp;lt;/sup&amp;gt; quarter of 2022.&amp;lt;/p&amp;gt;
Reducing SRAM Power Using Fine-Grained Wordline Pulsewidth Control (2009)

Embedded SRAM dominates modern SoCs, and there is a strong demand for SRAM with lower power consumption while achieving high performance and high density. However, the large increase of process variations in advanced CMOS technologies is considered one of the biggest challenges for SRAM designers. In the presence of large process variations, SRAMs are expected to consume larger power to ensure correct read operations and meet yield targets. In this paper, we propose a new architecture that significantly reduces the array switching power for SRAM. The proposed architecture combines built-in self-test and digitally controlled delay elements to reduce the wordline pulsewidth for memories while ensuring correct read operations, hence reducing the switching power. Monte Carlo simulations using a 1-Mb SRAM macro in an industrial 45-nm technology are used to verify the power saving for the proposed architecture. For a 48-Mb memory density, a 27% reduction in array switching power can be achieved for a read access yield target of 95%. In addition, the proposed system can provide larger power saving as process variations increase, which makes it an attractive solution for 45-nm-and-below technologies.
Bismuth carbomer foam enemas for active chronic pouchitis: a randomized, double‐blind, placebo‐controlled trial (1997)

Bismuth carbomer foam enemas (270 mg bismuth) nightly for 3 weeks are safe but not efficacious for active chronic pouchitis.
Advances in Monte Carlo rendering (2020)

Jaroslav Křivánek's research aimed at finding the one robust and efficient light transport simulation algorithm that would handle any given scene with any complexity of transport. He had a clear and unique vision of how to reach this ambitious goal. On his way, he created an impressive track of significant research contributions. In this course, his collaborators will tell the story of Jaroslav's quest for that "one" algorithm and discuss his impact and legacy.
Elevated levels of von Willebrand factor are associated with maintained normal primary haemostasis in thrombocytopenic patients with liver cirrhosis (2013)

Primary haemostasis is characterized by the von Willebrand factor mediated adhesion of platelets to subendothelial structures. In patients with liver cirrhosis thrombocytopenia, as well as increased vWF, is common, while the prevalence of concomitant thrombocytopathy is still discussed. In this study on cirrhotic patients we assessed the presence of thrombocytopathy in patients with normal thrombocytes and the influence of elevated von Willebrand factor on primary haemostasis in thrombocytopenic patients using the platelet function analyzer PFA-100.
High performance extremely-thin body III-V-on-insulator MOSFETs on a Si substrate with Ni-InGaAs metal S/D and MOS interface buffer engineering (2011)

We have demonstrated the extremely thin body (ETB) In 0.7 Ga 0.3 As-on-insulator (-OI) MOSFETs on Si substrates with Ni-InGaAs S/D structures. It has been found that low doping concentrations, In-rich channels (In 0.7 Ga 0.3 As), and buffer engineering provide high mobility of 2810 cm2/Vs even the total InGaAs thickness of 10 nm. This is the first demonstration of ETB III-V-OI MOSFETs combined with the Schottky-barrier free metal S/D technology. We have also achieved excellent I D -V G characteristics with I on /I off ratio of over 107 and low S.S. of 103 mV/dec in 2/1/3 nm-thick InGaAs MOSFETs with buffer layers.
Synthese, Kristallstruktur und Reaktionen neuartiger metallacyclischer Dioxo‐ und Aminooxocarben‐Komplexe des Eisens (1994)

Synthesis, Crystal Structure, and Reactions of Novel Metallacyclic Dioxo‐ and Aminooxocarbene Complexes of Iron The novel cationic iron carbene complexes 9 and 11 are readily prepared from the corresponding ferra lactones 7 and lactams 10 , respectively. With nucleophiles the complexes 9 react chemoselectively either at the methyl group of the methoxy residue or at the terminal allylic C atom. In contrast to similar tungsten complexes 6 , compounds 9 show “carbene activity” only when olefin and carbene ligands are separated by two atoms. Novel tricarboryl(2 H ‐pyran)iron complexes 18 are obtained by a regioselective intramolecular carbene transfer in 9 once switched to the active form 17 by deprotonation using silyl enol ether 16 as a base.
Localization of wireless sensor networks with concurrently used identification sequences (2015)

In very large distributed sensor networks, transmission identifiers have to be shared among several nodes due to limited bandwidth and hardware resources. In this work, we propose and investigate an algorithm targeting this issue of nonunique identification in the framework of network localization. Our proposed method is based on a two-stage approach: The estimation of adjacency information based on the range measurements, and a maximum-likelihood (ML) estimation of the sensor that transmitted the ranging-pulse. The first stage can be formulated as a binary linear feasibility problem that is capable of significantly reducing the computational complexity and increasing the performance of the second stage. Our approach is compared to a method that does not exploit the estimated adjacency information. We show that our algorithm enables outstanding localization performance, also when using only few distinct transmission ID sequences.
Interaction of Ti-Zeolites with Water. A Periodic ab Initio Study (1999)

The interaction of water molecules with Ti sites in Ti-containing zeolites has been studied by means of the ab initio periodic Hartree−Fock program CRYSTAL. The zeolitic part of the system has been represented by a perfect crystalline chabazite framework. The Ti content and distribution within the model structure have been designed so as to keep the maximum symmetry. Water physisorption has been accomplished by adding one (two) water molecule to each symmetry equivalent Ti-site; the geometry has been fully optimized; the calculated adsorption energy is −34.4 ( −43.6) kJ mol-1. The stability and electronic structure of the hydrated sites are shown to be largely dependent on the framework flexibility. The hydrolysis of the Ti−O−Si bridge to yield Ti−OH and Si−OH has also been studied. This reaction is endothermic within the present model (ΔE = 35.3 kJ mol-1). The activation energy was estimated in about 84 kJ mol-1.
Caldimicrobium rimae gen. nov., sp. nov., an extremely thermophilic, facultatively lithoautotrophic, anaerobic bacterium from the Uzon Caldera, Kamchatka (2009)

An extremely thermophilic, strictly anaerobic, facultatively chemolithoautotrophic bacterium designated strain DS(T) was isolated from Treshchinnyi Spring, one of the hottest springs of the Uzon Caldera (Kamchatka, Russia). Cells of the novel organism were Gram-negative rods, about 1.0-1.2 microm long and 0.5 microm wide. The temperature range for growth was 52-82 degrees C, with an optimum at 75 degrees C. Growth was observed at pH 6.8-7.4, and the optimum pH was 7.0-7.2. Strain DS(T) was able to grow lithoautotrophically with hydrogen in the presence of CO(2) as a carbon source and thiosulfate or elemental sulfur as an electron acceptor. It also grew well with ethanol, fumarate, succinate or malate in the presence of thiosulfate. Yeast extract was not required for growth and did not stimulate growth. The genomic DNA G+C content was 35.2 mol%. Phylogenetic analysis of the 16S rRNA gene sequence indicated that the novel organism was a member of the family Thermodesulfobacteriaceae. On the basis of phylogenetic and physiological considerations, it is proposed that strain DS(T) represents a new genus and species, Caldimicrobium rimae gen. nov., sp. nov. The type strain of Caldimicrobium rimae is DS(T) (=DSM 19393(T) =VKM B-2460(T)).
ChemInform Abstract: A Chemical Synthesis of Periodic Macroporous NiO and Metallic Ni. (1999)

Abstract ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 100 leading journals. To access a ChemInform Abstract of an article which was published elsewhere, please select a “Full Text” option. The original article is trackable via the “References” option.
Attention-Based Deep Neural Network Behavioral Model for Wideband Wireless Power Amplifiers (2020)

The behavior models based on artificial neural networks (ANNs) have been widely used in the wideband power amplifier (PA). However, the selected terms of the input signal significantly affect the complexity of the ANNs. In this letter, a method using an attention-based deep neural network (DNN) is proposed to reduce the number of selected input terms for PA modeling. This method first selects the input terms with large contributions to PA modeling offline using the DNN with an attention mechanism. Then, the selected input items are injected into the DNN to build the PA model online. Experimental results show that the proposed method requiring only 1/3 of the input items can achieve good modeling performance with low complexity.