gebhart/patrepeval huggingface dataset:
用新 xeno 的人的 hepatocytes 的改进 cryopreservation 免费 cryoprotectant 答案 (2012)

AIM:To optimize a xeno-free cryopreservation protocol for primary human hepatocytes.METHODS:The demand for cryopreserved hepatocytes is increasing for both clinical and research purposes.Despite several hepatocyte cryopreservation protocols being available,improvements are urgently needed.We first compared controlled rate freezing to polystyrene box freezing and did not find any significant change between the groups.Using the polystyrene box freezing,we compared two xeno-free freezing solutions for freezing of primary human hepatocytes:a new medium(STEM-CELLBANKER,CB),which contains dimethylsulphoxide(DMSO) and anhydrous dextrose,both permeating and non-permeating cryoprotectants,and the frequently used DMSO-University of Wisconsin(DMSOUW) medium.The viability of the hepatocytes was assessed by the trypan blue exclusion method as well as a calcein-esterase based live-dead assay before and after cryopreservation.The function of the hepatocytes was evaluated before and after cryopreservation by assessing enzymatic activity of 6 major cytochrome P450 isoforms(CYPs):CYP1A2,CYP2C9,CYP2C19,CYP2D6,CYP3A4 and CYP3A7.RESULTS:The new cryoprotectant combination preserved hepatocyte viability significantly better than the standard DMSO-UW protocol(P < 0.01).There was no significant difference in viability estimation between both the trypan blue(TB) and the Live-Dead Assay methods.There was a correlation between viability of fresh hepatocytes and the difference in cell viability between CB and DMSO protocols(r 2 = 0.69) using the TB method.However,due to high within-group variability in the activities of the major CYPs,any statistical between-group differences were precluded.Cryopreservation of human hepatocytes using the cryoprotectant combination was a simple and xeno-free procedure yielding better hepatocyte viability.Thus,it may be a better alternative to the standard DMSO-UW protocol.Estimating CYP activities did not seem to be a relevant way to compare hepatocyte function between different groups due to high normal
Etude de fiabilité en microélectronique : principes généraux et nouvelles approches (2018)

International audience
A Learning-based Approach to Information Release Control (2005)

Controlled release of information from an organization is becoming important from various considerations: privacy, competitive information protection, strategic data control, and more. In most organizations, data protection is afforded only by using access control, However, it can be argued that access control suffers from at least two problems. First, effective access control assumes a perfect categorization of information (“who can access what”), which is increasingly difficult in a complex information system. Second, access control is not effective against insider attacks, where users whith legitimate access rights send out sensitive information, either with malicious intent or by accident. Information release control is viewed as complementary to access control, and aims at restricting the outgoing information flow at the boundary of information systems. This paper presents an architectural view of a release control system. The system emphasizes the role of automated learning for release control constraints. This has resulted from the realization that the most difficult task of effective release control is how the release control constraints are specified. In a learning-based system, data mining and machine learning techniques are employed to generate release control constraints from samples provided by the security officer. The system applies continuous learning to adjust the release control constraints to reduce both mistakenly released and mistakenly restricted documents. This paper also provides a specific example on how to learn keyword-based release control constraints.
Aortic Insufficiency Causes Symptomatic Heart Failure during Left Ventricular Assist Device Support (2021)

De novo aortic insufficiency is often documented during long-term left ventricular assist device (LVAD) support, despite the absence of aortic insufficiency at the time of LVAD implantation. However, whether aortic insufficiency affects long-term mortality and symptomatic heart failure in LVAD-supported patients remains controversial. We aimed to examine whether aortic insufficiency development influenced mortality and symptomatic heart failure following LVAD implantation. Fifty-three patients who underwent durable LVAD implantation between January 1, 2008 and April 31, 2017 were retrospectively examined in a single center institute. After discharge, we performed the echocardiographic examination in accordance with the Japanese registry for the mechanically assisted circulatory support protocol. Aortic insufficiency was graded on an interval scale (severe = 4, moderate = 3, mild = 2, trivial or none = 1). Kaplan-Meier estimates for long-term mortality at the follow-up were generated. We used a logistic regression model to identify risk factors for symptomatic heart failure. The overall median duration of LVAD support was 856.3 ± 430.8 days (range, 12-1,744 days). We did not observe a significant difference in long-term mortality in patients with aortic insufficiency ≥ 3 grade compared with patients with aortic insufficiency < 3 grade (P = 0.767; log-rank). Aortic insufficiency was associated with an increased risk for heart failure event after discharge (odds ratio, 4.12; confidence interval, 1.48-16.93; P = 0.005). Aortic insufficiency was an independent risk factor for symptomatic heart failure and was not associated with long-term mortality. Aortic insufficiency progression was associated with symptomatic heart failure.
Predicting phenotype from genotype: Improving accuracy through more robust experimental and computational modeling (2017)

Computational prediction yields efficient and scalable initial assessments of how variants of unknown significance may affect human health. However, when discrepancies between these predictions and direct experimental measurements of functional impact arise, inaccurate computational predictions are frequently assumed as the source. Here, we present a methodological analysis indicating that shortcomings in both computational and biological data can contribute to these disagreements. We demonstrate that incomplete assaying of multifunctional proteins can affect the strength of correlations between prediction and experiments; a variant's full impact on function is better quantified by considering multiple assays that probe an ensemble of protein functions. Additionally, many variants predictions are sensitive to protein alignment construction and can be customized to maximize relevance of predictions to a specific experimental question. We conclude that inconsistencies between computation and experiment can often be attributed to the fact that they do not test identical hypotheses. Aligning the design of the computational input with the design of the experimental output will require cooperation between computational and biological scientists, but will also lead to improved estimations of computational prediction accuracy and a better understanding of the genotype-phenotype relationship.
Recall, Recognition, and Rate: Memory and the Heart (1980)

ABSTRACT Heart rate (HR) changes during recall and recognition tasks were related to memory load and performance. Current hypotheses imply that heart rate acceleration may indicate the processing of stored information, and, thus relate to task performance. Twenty volunteers performed a recognition task with memory set size varying between five and ten items. The task was divided into input, retain, and test periods. Eight volunteers performed a recall task which was identical except for the form of the memory test. Consistent HR changes showed a deceleration prior to each task period which was followed by acceleration. HR was not influenced by memory load, but did show a small but consistent relationship to performance. In both recall and recognition experiments relatively greater acceleration in the retain period was associated with more accurate memory performance. Similar but less clear effects occurred during information input. In this period degree of deceleration also appeared related to recognition performance. Results were related to previous concepts of HR and attention rather than processes specific to memory.
USP22 controls iNKT immunity through MED1 suppression of histone H2A monoubiquitination (2020)

The ubiquitin pathway has been shown to regulate iNKT cell immunity, but the deubiquitinase involved in this process has not been identified. Herein we found that ubiquitin-specific peptidase 22 (USP22) is highly expressed in iNKT cells during their early developmental stage 1. USP22 deficiency blocked the transition from stage 1 to 2 during iNKT cell development in a cell-intrinsic manner. USP22 suppression also diminishes iNKT17 and iNKT1 differentiation but favors iNKT2 polarization without altering conventional T cell activation and differentiation. USP22 interacts with the Mediator complex subunit 1 (MED1), a transcription coactivator involved in iNKT cell development. Interestingly, while interacting with MED1, USP22 does not function as a deubiquitinase to suppress MED1 ubiquitination for its stabilization. Instead, USP22 enhances MED1 functions for IL-2Rβ and T-bet gene expression through deubiquitinating histone H2A but not H2B monoubiquitination. Therefore, our study revealed USP22-mediated histone H2A deubiquitination fine-tunes MED1 transcriptional activation as a previously unappreciated molecular mechanism to control iNKT development and functions.
High finesse compound optical ring filter for parametric multicasting RF channelization (2013)

An integrated optical compound ring filter for use in a multicast and slice channelizer/spectrum analyzer is presented. We discuss design and implementation of a SiO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> based photonic filter with 250 MHz resolution bandwidth, a flattened passband, and finesse greater than 100, enabling channelization of instantaneous bandwidths above 10GHz.
A phenomenological model of the red luminescence kinetics in ZnTe:O (1987)

We previously described an efficient red luminescence in ZnTe:O which dominates the emission spectrum from liquid nitrogen to room temperatures; this luminescence has been attributed to recombination at isoelectronic O centers. Frequency-domain luminescence measurements on this band have revealed complex kinetics corresponding to fast and slow decay processes. In this paper, these kinetics are compared with the predictions of a two-step electron capture model in which recombination occurs by electron capture at the O center followed by hole capture. Although the slow decay component of the luminescence is consistent with the electron capture model, the fast transient is shown to be in qualitative disagreement with that model. It is argued that more sophisticated versions of the basic two-step capture model will not fit the data. Parallel processes in which two mechanisms contribute to the luminescence are proposed to explain the data. In particular, it is proposed that direct capture of free excitons by the O impurities together with two-step electron capture may explain the data.
Modeling a Floating-Gate Memristive Device for Computer Aided Design of Neuromorphic Computing (2020)

Memristive technology is still not mature enough for the very large-scale integration necessary to obtain practical value from neuromorphic computing. While nonvolatile floating-gate "synapse transistors" have been implemented in very large-scale integrated neuromorphic systems, their large footprint still constrains an upper bound on the overall performance. A two-terminal floating-gate memristive device can combine the technological maturity of the floating-gate transistor and the conceptual novelty of the memristor using a standard CMOS process. In this paper, we present a top-down computer aided design framework of the floating-gate memristive device and show its potential in neuromorphic computing. Our framework includes a Verilog-A model, small-signal schematics, a stochastic model, Monte-Carlo simulations, layout, DRC, LVS, and RC extraction.
Fluid computing (2020)

Among the existing computational parallel models, Gamma and Dynamic Dataflow are equivalent models where parallel programs can be developed in a natural way. However, the implementation of Gamma paradigm poses several communication and architectural challenges. On the other hand, interest-based protocols have emerged as possible solutions of communication routing enabling an efficient communication in IoT environments. An interesting property of Gamma is the possibility of locality exploration in a non-complex way that sounds quite suitable for IoT applications. This work proposes a novel execution model for Gamma programs integrating the Radnet --- an interest-based protocol --- as communication protocol. Since the interest processing using Gamma paradigm is not a trivial task, a dynamic dataflow graph is used to express the interest as edges between vertices. We explore the equivalence results between Gamma and dataflow and, also, provide experiments showing the potential of Gamma when used to implement approximate computing techniques.
ChemInform Abstract: Discovery and Optimization of a New Class of Potent and Non‐Chiral Indole‐3‐carboxamide‐Based Renin Inhibitors. (2011)

Abstract Compound (I) is found to be the most potent renin inhibitor without significant inhibition of related proteases.
Automating Truth: The Case for Crowd-Powered Scientific Investigation in\n Economics (2018)

Scientific investigation procedures have been evolving to follow an\never-changing cultural landscape, the sophistication of the technology\navailable and an ever-growing knowledge base. This continuous evolution brought\ninvestigation practices through distinct historical phases, mostly marked by\ndifferent types of participants and organization, from individual natural\nphilosophers to science driven by large institutions. There is clear evidence\nthat we are now getting to an age of drastic disruptive change. Increased\ncomplexity and mandatory multidisciplinary thinking have moved research from an\ninitial phase of disjoint polymaths into a current phase of widespread\nuncontrolled use of computational tools and data generation, the "informatics\ncrisis". The use of advanced computational technology for communication and\ngeneration of data in large scale without proper controls is compromising our\nability to conduct an adequate reproducible investigation, causing a dangerous\ndrift from the scientific method. To counteract this deviation, we advocate the\nuse of a next-generation investigative approach leveraging forces of human\ndiversity, micro-specialized crowds and proper computer-assisted control\nmethods associated with a "pipeline of proof". This paper outlines the impact\nof advanced computational technology, not only as an accelerator of the rate in\nwhich humanity acquires objective knowledge but also as a dangerous side effect\nas a generator of massive amounts of uncontrolled, unverified and untraceable\ndata and results that cannot be reproduced. We propose an alternative for\nmethods of investigation based on collaboration in large-scale through standard\nprocedures of proof and crowds in building a "collective brain in which neurons\nare human collaborators".\n
B-cell Receptor Pathway Mutations Are Infrequent in Patients with Chronic Lymphocytic Leukemia on Continuous Ibrutinib Therapy (2023)

This systematic investigation describes development of mutations over time in patients without PD and informs the potential clinical opportunity to optimize ongoing benefits for such patients.
Sexual hybridization of Mating-incompetent Sake Yeasts by Isolation of Mating-competent Mutants (1999)

Yeast strains used for sake brewing are, in general, difficult to sporulate and incompetent at mating with others.We isolated eight mating-competent mutants from strain Kyokai no.7 and three other strains for ginjo-shu making with the aid of pNN63 and pNN64 plasmids.These plasmids were collstructed by NAKAZAWA et al., (J.Ferment.Bioeng., 78: 6-11, 1994) for the detection of the mating competency of the host cells.With these mating-competent mutants and three haploid strains used in genetic studies, we constructed 21 putative hybrids by crossing, and found that 8 of the 21 isolates are putative triploids and the remaining 13 are tetraploids.To see their hybridity, the putative hybrids were examined for their electrophoretic karyotypes and sporulation abilities.We found that 17 of the 21 isolates are hybrids.The sake brewing characteristics of the hybrid clones were examined on a small scale artificial sake mash, then by 1 kg pilot brewing using five selected isolates.The results suggested that some of the hybrids are superior for sake brewing with regard to their taste and aroma, but none were superior to Kvokai no.7 and no.901 with regard to mash fermentability.
The Pharmacokinetics of Propofol in Children Using Three Different Data Analysis Approaches (1994)

The pharmacokinetics of propofol in children are well described by a standard three-compartment pharmacokinetic model. Weight-adjusting the volumes and clearances significantly improved the accuracy of the pharmacokinetics. Adjusting the pharmacokinetics for inclusion of additional patient covariates or using a mixed-effects model did not further improve the ability of the pharmacokinetic parameters to describe the observations.
Conformation of a Geminal Dicyclopropyl-Substituted Trimethylenemethane Triplet [2-(Dicyclopropylmethylidene)cyclopentane-1,3-diyl] (1997)

Triplet 2-(dicyclopropylmethylidene)cyclopentane-1,3-diyl, CP2TMM, has a Deltam(s) = 2 ESR transition revealing hyperfine splitting consistent with coupling to two equivalent alpha hydrogens and five equivalent beta hydrogens and one other hydrogen with a small hyperfine coupling constant. This is consistent only with a conformation in which one cyclopropane ring conjugates with the pi triplet so that the other cyclopropane is twisted allowing the tertiary cyclopropyl hydrogen to hyperconjugate. Geometry optimization of the triplet state of CP2TMM was carried out using the 3-21G basis set with a UHF wave function and while the singlet state was optimized using a GVB perfect pairing wave function. The most stable conformation of each spin state is a C(2)-symmetric structure providing a 10 kcal/mol singlet-triplet energy gap favoring the triplet. This gap is reproduced at the 6-31G level using the 3-21G geometries. However, this structure cannot reproduce the hyperfine splitting observed; 1 kcal/mol higher in energy is an asymmetrical conformation of triplet CP2TMM which can account for the hyperfine interactions.
Pleiotrophin, A Multifunctional Tumor Promoter Through Induction of Tumor Angiogenesis, Remodeling of the Tumor Microenvironment, and Activation of Stromal Fibroblasts (2007)

Pleiotrophin (PTN, Ptn) is a widely expressed, developmentally regulated 136 amino acid secreted heparin-binding cytokine. It signals through a unique signaling pathway; the PTN receptor is the transmembrane receptor protein tyrosine phosphatase (RPTP)beta/zeta. RPTPbeta/zeta is inactivated by PTN, which leads to increased tyrosine phosphorylation of the downstream targets of the PTN/RPTPbeta/zeta signaling pathway. Pleiotrophin gene expression is found in cells in early differentiation during different developmental periods. It is upregulated in cells with an early differentiation phenotype in wound repair. The Ptn gene also is a proto-oncogene; PTN is expressed in human tumor cells, and, in cell lines derived from human tumors that express Ptn, Ptn expression is constitutive and thus "inappropriate". Importantly, properties of different cells induced by PTN in PTN-stimulated cells are strikingly similar to properties of highly malignant cells. Furthermore, transformed cells into which Ptn is introduced undergo "switches" to malignant cells of higher malignancy with properties that are strikingly similar to properties of PTN-stimulated cells. These unique features of PTN support the conclusion that constitutive PTN signaling in malignant cells that inappropriately express Ptn functions as a potent tumor promoter. Recently, in confirmation, Ptn targeted by the mouse mammary tumor virus (MMTV) promoter in a transgenic mouse model was found to promote breast cancers to a more aggressive breast cancer cell phenotype that morphologically closely resembles scirrhous carcinoma in human; in addition, it promoted a striking increase in tumor angiogenesis and a remarkable degree of remodeling of the micro-environment. Pleiotrophin thus regulates both different normal and pathological functions; collectively, the different studies have uncovered the unique ability of a single cytokine PTN, which signals through the unique PTN/RPTPbeta/zeta signaling pathway, to induce the many properties associated with tumor promotion in the malignant cells that constitutively express Ptn and in their microenvironment.
2P1-L02 Method for Displaying Button Click Feeling using Ultrasonic vibrator (2009)

A virtual button with tactile feedback is realized by use of ultrasonic vibration with amplitude of a few micrometers. Button-like click feeling is displayed by recreating rapid change in reaction force arising from buckling of a mechanical push button utilizing squeeze film effect. First, click feeling display system was constructed based on the principle of perceiving click feeling when pushing a mechanical button. In the system, stimulation are applied to the operators at both buckling and restitution point. Then, by conducting several sensory evaluation experiments, the optimum parameters of the ultrasonic vibration was determined to display button-like click feeling. Finally, by conducting usability test, it was verified that the usability of the virtual button was equivalent to that of a mechanical button.
Lanthanide-based inorganic–organic hybrid materials for photon-upconversion (2020)

Photon-upconversion materials are capable of converting low energy infrared light into higher energy visible or ultraviolet light.
Supplementary Figure S4A-C from Preclinical Evaluation of the Hsp70 Peptide Tracer TPP-PEG&lt;sub&gt;24&lt;/sub&gt;-DFO[&lt;sup&gt;89&lt;/sup&gt;Zr] for Tumor-Specific PET/CT Imaging (2023)

&lt;p&gt;Histological section of benign fibroblat hyperplasia (A), H&amp;E (B), and Hsp70 (C) immunohistochemical staining&lt;/p&gt;
Development of Modern Fundamental Materials Science at the Faculty of Materials Science of the Moscow State University (2018)

The key families of modern materials and the evolution of promising materials research trends, which has entered an active phase in the 1990s, are reviewed. It is noted that the classical approaches to materials engineering centered on revealing and utilizing correlations between the composition, the structure, and the properties should be complemented by a thorough analysis of the actual structure and the structure-sensitive characteristics of materials; careful consideration of the synergy of external effects in material synthesis and the possibilities provided by template synthesis, self-assembly, and self-organization in nanomaterials engineering; and the examination of response of living systems to biomaterials. Being highly interdisciplinary, fundamental materials science borrows heavily from modern inorganic chemistry, physical chemistry, and solid-state chemistry, which invariably guide the development trends in materials science.