gebhart/patrepeval huggingface dataset:
Angiotensin I Converting Enzyme Inhibitory Activity of The Short Chain Peptides Derived from Various Food Proteins. (1996)

Twelve kinds of food proteins were hydrolyzed by Bacillus licheniformis alkaline proteases to form peptides of average chain length, 2.26-4.02. The hydrolyzates from shrimp, crab and sardine contained many di- and tri-residues whose angiotensin I converting enzyme (ACE) inhibitory activities were stronger than that of the hydrolyzates from soy bean, hair tail, oyster, beef, chicken, pork, chicken egg yolk, chicken egg white and casein. The IC50 was 0.072, 0.075 and 0.076mg protein/ml, respectively. Hydrophobic amino acid residues situated in the interior of protein molecules were exposed by fragmentation with proteases, and the peptides containing hydrophobic amino acid residues were found in aqueous solution. The peptide from casein showed the highest hydrophobicity and whose taste was the most bitter.
Chorismate mutase/prephenate dehydrogenase from Escherichia coli K12: purification, characterization, and identification of a reactive cysteine (1984)

The bifunctional enzyme involved in tyrosine biosynthesis, chorismate mutase/prephenate dehydrogenase, has been isolated from extracts of a regulatory mutant of Escherichia coli K12. The pure enzyme is a homodimer of total molecular weight 78 000 and displays Michaelis-Menten kinetics for both activities. Fingerprinting and amino acid sequencing of tryptic and thermolytic peptides of the S-[14C]carboxymethylated enzyme allowed the identification of three unique cysteine-containing sequences per subunit. Chemical modification of the native enzyme with 5,5'-dithiobis(2-nitrobenzoate) or iodoacetamide showed that one sulfhydryl group per subunit was particularly reactive, and the integrity of this group was essential for both enzymic activities. This work supports previous proposals for a close spatial relationship between the active sites.
Porous cellulose paper as a light out coupling medium for organic light-emitting diodes (2018)

Porous nanocellulose paper was fabricated and applied as a light outcoupling medium. The nanocellulose papers were prepared using cellulose powder and a high-pressure homogenizing process. The translucent nanocellulose paper had high total transmittance and haze, and gave off diffuse light when the incident light passes through it. Through the application of the fabricated nanocellulose paper on the external surfaces of organic light-emitting diode (OLED) devices, it was possible not only to enhance the luminous efficiency but also to widen the angular light distribution. As this paper is intrinsically flexible, it can be applied to various forms of light sources bearing curvature.
Wearable microfluidic biomarker sensor for human performance assessment (2016)

Sweat carries valuable information about our physiological and cognitive status. Measurement of various biomarkers in sweat provides a pathway for the assessment of fatigue or cognitive ability, disease, or even physical conditions such as blood glucose or hydration levels for individuals [1]. There has been a significant interest in developing a non-invasive, wearable sensor platform to facilitate the detection of a range of biomarkers from sweat. This paper will describe approaches for development of a wearable microfluidic platform suitable for non-invasive detection of sweat-based biomarkers (for example glucose, Orexin A, cortisol and IL-6). The wearable platform is composed of miniaturized electrical sensors integrated with flexible, printed microfluidic components that allow for on-demand sample acquisition and transport of sweat, and subsequent detection of biomarkers at the sensing surface site. Sample acquisition is achieved utilizing absorbent pads affixed to the skin that feed hydrophylic microchannels with on-demand sample acquisition controlled through printed electro-wetting valves enabling capillary pumping to continuously deliver sample to the sensor.
Liquid drop growth on a fiber (2005)

Abstract A quantitative model is described and verified to predict the growth of oil droplets by coalescence on a single nanofiber. The model considers a stream of fluid carrying many tiny droplets of a different fluid. The mechanisms by which the tiny droplets are captured by a drop growing on a fiber are considered. Different capture mechanisms are examined, including interception, Brownian motion of droplets, and vapor deposition by diffusion. It is shown that droplet interception and Brownian diffusion contribute to drop growth on nanofibers for airborne oil droplets in the size range from 100 to 1000 nm. Merging of growing drops on the fiber is also modeled and experimentally observed. © 2005 American Institute of Chemical Engineers AIChE J, 2006
Delay attacks — Implication on NTP and PTP time synchronization (2009)

In this paper specific variants of delay attacks are examined. First, the Network Time Protocol is regarded. Second, delay attacks and implications on the time synchronization of the Precise Time Protocol are described. In particular, consequences for the offset calculation O <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">prox</sub> are regarded. At the end of the paper possible countermeasurements are described.
Experimental investigation of amino acid binding as a mechanism for fractionating metal stable isotopes (2022)

Background: Cellular metabolism depends on transition metals as protein co-factors. As cellular activity partitions metal isotopes, their ratios can be used to trace biological function. Ab initio calculations based on density functional theory suggest that the incorporation of transition metals into proteins can impart an isotopic fractionation dependent on the metal binding site and, particularly, on the identity of the coordinating amino acid ligands. To experimentally test this hypothesis, we investigated the isotopic fractionation of zinc and copper due to coordination by amino acids that commonly act as ligands at protein metalbinding sites (e.g., cysteine, histidine, glutamic acid, aspartic acid). The objective of this study was to constrain equilibrium isotope fractionation values for amino acid-bound metals.
Glucose Levels Detection Using mm-Wave Radar (2018)

In the article, we propose an integrated millimeter-wave radar system to detect different glucose concentration levels in fake blood samples prepared in the laboratory. This research aims at validating the suitability of using mm-wave radars for noninvasively monitoring glucose levels of patients with diabetes. The proposed concept benefits from the applied signal processing approaches to identify different glucose concentrations and to correlate them to the reflected mm-wave readings.
Simple Analytic Approximations to the CIE XYZ Color Matching Functions (2013)

We provide three analytical fits to the CIE ¯x, ¯y, and ¯z color matching curves commonly used in predictive and spectral renderers as an intermediate between light spectra and RGB colors. Any of these fits can replace the standard tabulated CIE curves. Using tabulated curves can introduce typos, encourage crude simplifying approximations, or add opportunities to download curves from sources featuring inconsistent or incorrect data. Our analytic fits are simple to implement and verify. While fitting introduces error, our fits introduce less than the variance between the human-subject data aggregated into the CIE standard. Additionally, common rendering approximations, such as coarse spectral binning, introduce significantly more error. We provide simple, analytic fits in Equations 2 and 3, but even our more accurate fit in Equation 4 only requires ten lines of code. 1.
Compact and Scalable Graph Neighborhood Sketching (2016)

The all-distances sketch (ADS) has recently emerged as a promising paradigm of graph neighborhood sketching. An ADS is a probabilistic data structure that is defined for each vertex of a graph. ADSs facilitate accurate estimation of many useful indicators for network analysis with the guarantee of accuracy, and the ADSs for all the vertices in a graph can be computed in near-linear time. Because of these useful properties, ADS has attracted considerable attention. However, a critical drawback of ADS is its space requirement, which tends to be much larger than that of the graph itself. In the present study, we address this issue by designing a new graph sketching scheme, namely, sketch retrieval shortcuts (SRS). Although SRSs are more space-efficient than ADSs by an order of magnitude, an ADS of any vertex can be quickly retrieved from the SRSs. The retrieved ADSs can be used to estimate the aforementioned indicators in exactly the same manner as with plain ADSs, inheriting the same accuracy guarantee. Our experiments on real-world networks demonstrate the usefulness of SRSs as a practical back-end of large-scale graph data mining.
Real-Time Model-Based Demonstrator Control of an Electrical-Mechanical Power-Split Hybrid Drive for Diesel-Powered Commuter Trains (2020)

Many railway tracks are not yet electrified and are mainly used by diesel-powered trainsets. Since electrification is complicated and expensive, other possibilities for a more environmentally friendly use of these tracks are investigated. A novel drivetrain concept for commuter trains with electrical-mechanical power-split transmission and an electrical energy storage system has been proposed that reduces emissions, allows range-limited pure electric driving, and enables high overall efficiency. The drivetrain concept has been developed using model-based system design and is validated using a demonstrator on a test bench. In this work, a real-time model-based control is developed for the demonstrator setup. For this purpose, the system simulation model is first converted into a real-time capable model. Besides, safety features for component protection and extended operating possibilities are implemented. Finally, interfaces to the real components of the demonstrator are integrated. The resulting control system enables realistic operating conditions and driving cycle results on the test bench using real track data, realistic driving dynamics, and a virtual train driver.
P495: PHASE 2 STUDY OF ASTX727 (DECITABINE/CEDAZURIDINE) PLUS VENETOCLAX IN PATIENTS WITH RELAPSED/REFRACTORY ACUTE MYELOID LEUKEMIA (AML) OR PREVIOUSLY UNTREATED, ELDERLY PATIENTS UNFIT FOR CHEMOTHERAPY (2022)

Background: ASTX727, is an oral formulation of the fixed dose combination of decitabine and cytidine deaminase inhibitor cedazuridine (35 mg/100 mg). Aims: To investigate whether a total oral therapy regimen of ASTX727+venetoclax (ven) is feasible and safe. Methods: Pts aged ≥18 years (yrs) with relapsed/refractory AML (R/R) or pts with AML aged ≥ 75 or 18 -74 with comorbid conditions prohibiting intensive chemotherapy were eligible to participate (frontline-FL). Other eligibility criteria included adequate renal and hepatic function and an ECOG performance status (PS) of≤2. ASTX727 is administered daily on days 1‐5 of each treatment cycle and ven on days 1‐28 of the 1st cycle after a dose ramp up of 100-200-400 mg over 3 days (with tumor lysis prophylaxis precautions and with ven dose adjustments as needed. A bone marrow exam is performed on day 21±3 of 1st cycle and ven is held if blasts <5% to allow count recovery. Cycles are repeated every 4-8 weeks depending on count recovery and Ven is administered for 21 days in subsequent cycles, with dose adjustments as necessary depending on count recovery. Results: Between March 2021 and January 2022, 28 pts (15 FL and 13 R/R) have been treated on the study. The median age is 75 yrs (range, 47-90) with FL cohort 81 and R/R cohort 72. 9 FL pts (60%) were ≥80 and 5 (30%) 70-80 years. In R/R cohort 9 pts (69%) were 70-80 yrs. The median PS is 2 (range 0-3) and in the R/R cohort, the median number of prior treatments is 2 (range, 1-4). In the FL cohort 5 (33%) had normal and 6 (40%) a complex karyotype; 3 had other. In the R/R cohort, 15% had normal, 46% complex karyotype and 31% other. Mutations of note in the FL cohort were RUNX1 (33%), ASXL1 (33%), DNMT3A (7%), TET2 (40%) and TP53 (20%). The overall response (ORR) including complete response (CR), CR with incomplete count recovery (CRi) and morphological leukemia free state (MLFS) in the FL cohort is 61% (4 CR, 4 CRi, 1 MLFS and 3 non-responders). 3 pts received only one day of therapy for severe adverse events unrelated to therapy (1 due to ischemic stroke, 1 septic shock and 1 debilitation) and were not evaluable for response. In the R/R cohort, the ORR rate was 45% (2 CR, 2 CRi, 2 MLFS with 5 non-responders and 2 not evaluable). The median number of cycles received is 2 (range, 1-5) for both cohorts. With a median follow-up of 5 months, the median survival for the FL cohort has not been reached (range, 0.6 – 7.3) and is 7.2 (range, 0.8-7.3) months for the R/R cohort. Grade 3 or higher adverse events directly attributable to therapy were mainly myelosuppression-related and included neutropenic infections in 3 (11%) and elevation of liver enzymes in 1 (4%) pt. Image:Summary/Conclusion: The combination of ASTX727+ven is feasible, particularly in the advanced elderly population, and demonstrates significant efficacy in pts unfit for chemotherapy both in the FL and R/R settings.
Electrolyte Design for In Situ Construction of Highly Zn2+‐Conductive Solid Electrolyte Interphase to Enable High‐Performance Aqueous Zn‐Ion Batteries under Practical Conditions (2021)

Rechargeable aqueous Zn-ion batteries promise high capacity, low cost, high safety, and sustainability for large-scale energy storage. The Zn metal anode, however, suffers from the dendrite growth and side reactions that are mainly due to the absence of an appropriate solid electrolyte interphase (SEI) layer. Herein, the in situ formation of a dense, stable, and highly Zn<sup>2+</sup> -conductive SEI layer (hopeite) in aqueous Zn chemistry is demonstrated, by introducing Zn(H<sub>2</sub> PO<sub>4</sub> )<sub>2</sub> salt into the electrolyte. The hopeite SEI (≈140 nm thickness) enables uniform and rapid Zn-ion transport kinetics for dendrite-free Zn deposition, and restrains the side reactions via isolating active Zn from the bulk electrolyte. Under practical testing conditions with an ultrathin Zn anode (10 µm), a low negative/positive capacity ratio (≈2.3), and a lean electrolyte (9 µL mAh<sup>-1</sup> ), the Zn/V<sub>2</sub> O<sub>5</sub> full cell retains 94.4% of its original capacity after 500 cycles. This work provides a simple yet practical solution to high-performance aqueous battery technology via building in situ SEI layers.
INVOLVEMENT OF INCREASED ARGINASE ACTIVITY IN IMPAIRED CAVERNOUS RELAXATION WITH AGING IN THE RABBIT (2004)

These results strongly suggest that impaired endothelium dependent and NO mediated cavernous relaxation with aging is due to decreased NO production, which would result from increased arginase activity and probably from decreased L-arginine content.
Incremental Triangle Voxelization. (2000)

We present a method to incrementally voxelize triangles into a volumetric dataset with pre-filtering, generating an accurate multivalued voxelization. Multivalued voxelization allows direct volume rendering of voxelized geometry as well as volumes with intermixed geometry, accurate multiresolution representations, and efficient antialiasing. Prior voxelization methods either computed only a binary voxelization or inefficiently computed a multivalued voxelization. Our method develops incremental equations to quickly decide which filter function to compute for each voxel value. The method requires eight additions per voxel of the triangle bounding box. Being simple and efficient, the method is suitable for implementation in a hardware volume rendering system. Key words: Voxelization, volume filtering, hardware, incremental algorithm, cut planes
Endonuclease G promotes autophagy by suppressing mTOR signaling and activating the DNA damage response (2021)

Endonuclease G (ENDOG), a mitochondrial nuclease, is known to participate in many cellular processes, including apoptosis and paternal mitochondrial elimination, while its role in autophagy remains unclear. Here, we report that ENDOG released from mitochondria promotes autophagy during starvation, which we find to be evolutionally conserved across species by performing experiments in human cell lines, mice, Drosophila and C. elegans. Under starvation, Glycogen synthase kinase 3 beta-mediated phosphorylation of ENDOG at Thr-128 and Ser-288 enhances its interaction with 14-3-3γ, which leads to the release of Tuberin (TSC2) and Phosphatidylinositol 3-kinase catalytic subunit type 3 (Vps34) from 14-3-3γ, followed by mTOR pathway suppression and autophagy initiation. Alternatively, ENDOG activates DNA damage response and triggers autophagy through its endonuclease activity. Our results demonstrate that ENDOG is a crucial regulator of autophagy, manifested by phosphorylation-mediated interaction with 14-3-3γ, and its endonuclease activity-mediated DNA damage response.
Contour mapping of the spatiotemporal state of polarization of light (1994)

A novel interferometric polarimeter capable of mapping a spatiotemporal change in the state of polarization (SOP) of light is described. The polarimeter has a reference beam of light with two orthogonal linearly polarized components that interfere with the counterpart components of an elliptically polarized signal beam. The resultant interference pattern is recorded by a computer by the use of a wideband metal-oxide semiconductor video camera. The interference pattern reduces to the ellipticity and azimuth of the ellipse at an instant of time, by which the spatiotemporal change in the SOP is mapped. No optical elements are used for the control of polarization in the polarimeter, and this allows for the mapping of a rapid change in the SOP. Successful experiments are demonstrated by generating an elliptically polarized beam whose SOP varies in space and time.
A silicon photonics processor for error-protected measurement-based quantum computing (2020)

The development of a silicon photonic chip for the generation and measurement of eight-qubit reconfigurable graph and hypergraph states is reported. Its performance is demonstrated through several measurement-based quantum computing protocols enhanced by error-correction encodings.
Geometric Hypergraph Learning for Visual Tracking (2016)

Graph-based representation is widely used in visual tracking field by finding correct correspondences between target parts in different frames. However, most graph-based trackers consider pairwise geometric relations between local parts. They do not make full use of the target's intrinsic structure, thereby making the representation easily disturbed by errors in pairwise affinities when large deformation or occlusion occurs. In this paper, we propose a geometric hypergraph learning-based tracking method, which fully exploits high-order geometric relations among multiple correspondences of parts in different frames. Then visual tracking is formulated as the mode-seeking problem on the hypergraph in which vertices represent correspondence hypotheses and hyperedges describe high-order geometric relations among correspondences. Besides, a confidence-aware sampling method is developed to select representative vertices and hyperedges to construct the geometric hypergraph for more robustness and scalability. The experiments are carried out on three challenging datasets (VOT2014, OTB100, and Deform-SOT) to demonstrate that our method performs favorably against other existing trackers.
Distance measurement using radio frequency identification technology (2015)

This paper describes a possible usage of Radio Frequency Identification as a mean of asset localisation. The development of the working solution of asset localisation system based on the Radio Frequency Identification measured distance between the emitter and the receiver is presented also. The crucial part of the research was the design and development of the algorithms responsible for the processing of the information acquired from the reader into an asset localisation applicable format. The research accomplished revealed that the Radio Frequency Technology is applicable as a mean for real-time localisation system. The evaluation of the created solution put to the comparison with the existing systems has shown the possibility of development of the competitive product which may be introduced to the market of positioning systems.
Determining the Effects of Machining Parameters and Modifier on Surface Roughness in Dry Turning of Al-20%Mg2Si-PMMC using Design of Experiments (DOE) (2015)

The machinability of particulate metal matrix composites (PMMC) is influenced by the matrix mechanical properties as well as size, distribution and volume fracture of reinforcement particles. In order to machine different PMMCs, especial machining conditions based on the type of operation must be considered. The main principle aim of this observation is to assess the effect of machining parameters involving cutting speed, feed rate and Strontium addition on surface roughness of Al-20%Mg2Si in-situ composite. In this study design of experiment (DOE) methodology was applied to design experimental trials and the results were analyzed using Analysis of Variance (ANOVA). The dry turning was done on ALPHA 1350S CNC lath machine with a new insert for each test to ensure accurate reporting. The results showed that the Mg2Si particles morphology such as size, shape and distributions have altered by Sr addition. The statistical analysis revealed that all main effects influenced the surface roughness. The predicted results are found to be so closer to actual results. Due to low proximity difference between predicted results and actual results with each other, based on confirmation tests, the predictive model is sufficient accurate at reliability of 95%.
Carotid body control of bronchial circulation in sheep (1988)

The bronchial vascular response to chemoreceptor stimulation was studied in sheep anesthetized with alpha-chloralose, paralyzed with pancuronium, and artificially ventilated with room air. Blood flow through the common bronchial artery was measured with an electromagnetic flow-meter. Pressures were measured in the left atrium and aorta using appropriately placed catheters connected to pressure transducers. The carotid body was vascularly isolated and perfused at aortic pressure with blood of varied PO2 and PCO2. The viability of our preparation was assessed by the occurrence of a bradycardia in response to carotid body stimulation, and only data from animals demonstrating a bradycardia were analyzed. During hypoxic perfusion of the carotid body, heart rate decreased 6% (P less than 0.05). Bronchial blood flow increased by 46% and bronchial vascular resistance decreased by 23%, both of which were significant changes (P less than 0.05). During control experiments in which the carotid body was perfused with normoxic blood, there were no significant (P greater than 0.05) changes in any of the parameters. These data suggest that carotid body stimulation results in a reflex bronchial vasodilation.