gebhart/patrepeval huggingface dataset:
Photofield‐effect in amorphous In‐Ga‐Zn‐O (a‐IGZO) thin‐film transistors (2008)

Abstract We studied both the wavelength and intensity dependent photo‐responses (photofield‐effect) in amorphous In‐Ga‐Zn‐O (a‐IGZO) thin‐film transistors (TFTs). During the a‐IGZO TFT illumination with the wavelength range from 460∼660 nm (visible range), the off‐state drain current (IDS_off) only slightly increased while a large increase was observed for the wavelength below 400 nm. The observed results are consistent with the optical gap of ∼3.05eV extracted from the absorption measurement. The a‐IGZO TFT properties under monochromatic illumination (λ=420nm) with different intensity was also investigated and IDS_off was found to increase with the light intensity. Throughout the study, the field‐effect mobility (μeff) is almost unchanged. But due to photo‐generated charge trapping, a negative threshold voltage (Vth) shift is observed. The mathematical analysis of the photofield‐effect suggests that a highly efficient UV photocurrent conversion process in TFT off‐region takes place. Finally, a‐IGZO mid‐gap density‐of‐states (DOS) was extracted and is more than an order of magnitude lower than reported value for hydrogenated amorphous silicon (a‐Si:H), which can explain a good switching properties observed for a‐IGZO TFTs. Keywords: Metal oxide semiconductorInGaZnOTFTPhotofield effect Notes Department of Electrical Engineering and Computer Science, University of Michigan, 1301 Beal Ave. Ann Arbor, Michigan 48109–2122, USA ERATO‐SORST, JST, in Frontier Collaborative Research Center / Material and Structure Lab., Tokyo Institute of Technology, Yokohama 226–8503, Japan Department of Photonics & Display Institute, National Chiao Tung University, Hsinchu, 30010, Taiwan
Symbolic Derivation of Order Conditions for Two‐Stage Complex Rosenbrock Scheme (2008)

We develop new techniques for numerical solution of stiff systems of ODE. A new algorithm for automatic symbolic derivation of order conditions for Rosenbrock type scheme with complex coefficients is proposed. The algorithm allows one to build order conditions of arbitrary order. Several two‐stage complex Rosenbrock schemes with accuracy O(τ4) were constructed. For wide applications we recommended the one which is L1‐stable and provides accuracy O(τ7) on linear problems.
Temporal epilepsy seizures monitoring and prediction using cross‐correlation and chaos theory (2014)

Temporal seizures due to hippocampal origins are very common among epileptic patients. Presented is a novel seizure prediction approach employing correlation and chaos theories. The early identification of seizure signature allows for various preventive measures to be undertaken. Electro-encephalography signals are spectrally broken down into the following sub-bands: delta; theta; alpha; beta; and gamma. The proposed approach consists of observing a high correlation level between any pair of electrodes for the lower frequencies and a decrease in the Lyapunov index (chaos or entropy) for the higher frequencies. Power spectral density and statistical analysis tools were used to determine threshold levels for the lower frequencies. After studying all five sub-bands, the analysis has revealed that the seizure signature can be extracted from the delta band and the high frequencies. High frequencies are defined as both the gamma band and the ripples occurring within the 60-120 Hz sub-band. To validate the proposed approach, six patients from both sexes and various age groups with temporal epilepsies originating from the hippocampal area were studied using the Freiburg database. An average seizure prediction of 30 min, an anticipation accuracy of 72%, and a false-positive rate of 0% were accomplished throughout 200 h of recording time.
Improving the transmission performance for an externally modulated baseband single sideband OFDM signal using nonlinear post-compensation and differential encoding schemes (2007)

We propose the nonlinear post-compensation and differential encoding schemes for an externally modulated optical baseband SSB OFDM signal. We show the tolerance to the chromatic dispersion could be effectively enlarged by the differential detection technique. (2 pages)
C-terminal Elements Control Location, Activation Threshold, and p38 Docking of Ribosomal S6 Kinase B (RSKB) (2001)

RSKB, a p90 ribosomal S6 protein kinase with two catalytic domains, is activated by p38- and extracellular signal-regulated kinase mitogen-activated protein kinase pathways. The sequences between the two catalytic domains and of the C-terminal extension contain elements that control RSKB activity. The C-terminal extension of RSKB presents a putative bipartite (713)KRX(14)KRRKQKLRS(737) nuclear location signal. The distinct cytoplasmic and nuclear locations of various C-terminal truncation mutants supported the hypothesis that the nuclear location signal was essential to direct RSKB to the nuclear compartment. The (725)APLAKRRKQKLRS(737) sequence also was essential for the intermolecular association of RSKB with p38. The activation of RSKB through p38 could be dissociated from p38 docking, because RSKB truncated at Ser(681) strongly responded to p38 pathway activity. Interestingly, Delta(725-772)-RSKB was nearly nonresponsive to p38. Sequence alignment with the autoinhibitory C-terminal extension of Ca+2/calmodulin-dependent protein kinase I predicted a conserved regulatory (708)AFN(710) motif. Alanine mutation of the key Phe709 residue resulted in strongly elevated basal level RSKB activity. A regulatory role also was assigned to Thr687, which is located in a mitogen-activated protein kinase phosphorylation consensus site. These findings support that the RSKB C-terminal extension contains elements that control activation threshold, subcellular location, and p38 docking.
Influenza: Lessons Learned from Pandemic H1N1 . . . Can We Now Ignore H5N1? (2011)

The Hertog Global Strategy Initiative is a research program that employs historical analysis to confront present and future problems in world politics. The 2011 topic is the History and Future of Pandemic Threats and Global Public Health. In this lecture, Robert G. Webster, Rose Marie Thomas Chair in Virology at St. Jude Children's Research Hospital, discusses lessons learned from twentieth-century influenza pandemics.
Supplementary Table 1 from PF00299804, an Irreversible Pan-ERBB Inhibitor, Is Effective in Lung Cancer Models with <i>EGFR</i> and <i>ERBB2</i> Mutations that Are Resistant to Gefitinib (2023)

Supplementary Table 1 from PF00299804, an Irreversible Pan-ERBB Inhibitor, Is Effective in Lung Cancer Models with &lt;i&gt;EGFR&lt;/i&gt; and &lt;i&gt;ERBB2&lt;/i&gt; Mutations that Are Resistant to Gefitinib
Neurons Generated from APP/APLP1/APLP2 Triple Knockout Embryonic Stem Cells Behave Normally in Vitro and in Vivo: Lack of Evidence for a Cell Autonomous Role of the Amyloid Precursor Protein in Neuronal Differentiation (2010)

Alzheimer's disease amyloid precursor protein (APP) has been implicated in many neurobiologic processes, but supporting evidence remains indirect. Studies are confounded by the existence of two partially redundant APP homologues, APLP1 and APLP2. APP/APLP1/APLP2 triple knockout (APP tKO) mice display cobblestone lissencephaly and are perinatally lethal. To circumvent this problem, we generated APP triple knockout embryonic stem (ES) cells and differentiated these to APP triple knockout neurons in vitro and in vivo. In comparison with wild-type (WT) ES cell-derived neurons, APP tKO neurons formed equally pure neuronal cultures, had unaltered in vitro migratory capacities, had a similar acquisition of polarity, and were capable of extending long neurites and forming active excitatory synapses. These data were confirmed in vivo in chimeric mice with APP tKO neurons expressing the enhanced green fluorescent protein (eGFP) present in a WT background brain. The results suggest that the loss of the APP family of proteins has no major effect on these critical neuronal processes and that the apparent multitude of functions in which APP has been implicated might be characterized by molecular redundancy. Our stem cell culture provides an excellent tool to circumvent the problem of lack of viability of APP/APLP triple knockout mice and will help to explore the function of this intriguing protein further in vitro and in vivo.
Intracellular bacterial vaccine vectors : immunology, cell biology, and genetics (1999)

The Relationship between Intra--Cellular Bacterial Life--Styles and the Immune Responsiveness to Bacterial Delivered Antigens (Y. Paterson). THE BIOLOGY AND IMMUNOLOGY OF INTRACELLULAR BACTERIAL VECTORS. The Immune Response to Mycobacteria (D. Young & J. Thole). Mucosal Immune Defense: The Salmonella typhimurium MODEL (T. Eisenstein). Cell Biology and Immune Response to Listeria monocytogenes, AN INTRACELLULAR PATHOGEN (S. Vijh & E. Pamer). VACCINE STRATEGIES USING LIVE RECOMBINANT INTRACELLULAR BACTERIA. Recombinant BCG Vaccines (A. Aldovini & R. Young). Mucosal Vaccination with Salmonella Vaccine Vectors (D. Hone, et al.). The Use of Listeria monocytogenes Recombinants as Vaccine Vectors in Infectious and Neoplastic Disease (L. Weiskirch & Y. Paterson). Index.
Dynamic outcrop analogues in groundwater reservoirs. A disruptive approach for reservoir characterization and modelling (2019)

International audience
1P-123 High-Accuracy Localization of Single Nucleotides Bound to the Catalytic Sites in Rotary Motor F_1-ATPase(Molecular motor, The 47th Annual Meeting of the Biophysical Society of Japan) (2009)

IncorporatedAssociation elements that mfluenLe nucleotlde exchange iaLe of actin In ths work we characterized nuLleotide bmd]ng er carp (C}pnnus tarpio) muscle actin which Lontdms
Phospholipase C-eta Enzymes as Putative Protein Kinase C and Ca<sup>2+</sup> Signalling Components in Neuronal and Neuroendocrine Tissues (2007)

Phosphoinositol-specific phospholipase C enzymes (PLCs) are central to inositol lipid signalling pathways, facilitating intracellular Ca2+ release and protein kinase C activation. A sixth class of phosphoinositol-specific PLC with a novel domain structure, PLC-eta (PLCeta) has recently been discovered in mammals. Recent research, reviewed here, shows that this class consists of two enzymes, PLCeta1 and PLCeta2. Both enzymes hydrolyze phosphatidylinositol 4,5-bisphosphate and are more sensitive to Ca2+ than other PLC isozymes and are likely to mediate G-protein-coupled receptor (GPCR) signalling pathways. Both enzymes are expressed in neuron-enriched regions, being abundant in the brain. We demonstrate that they are also expressed in neuroendocrine cell lines. PLCeta enzymes therefore represent novel proteins influencing intracellular Ca2+ dynamics and protein kinase C activation in the brain and neuroendocrine systems as putative mediation of GPCR regulation.
Nonparametric Bootstrap Inference for the Targeted Highly Adaptive LASSO Estimator (2019)

The Highly-Adaptive-LASSO Targeted Minimum Loss Estimator (HAL-TMLE) is an efficient plug-in estimator of a pathwise differentiable parameter in a statistical model that at minimal (and possibly only) assumes that the sectional variation norm of the true nuisance functional parameters (i.e., the relevant part of data distribution) are finite. It relies on an initial estimator (HAL-MLE) of the nuisance functional parameters by minimizing the empirical risk over the parameter space under the constraint that the sectional variation norm of the candidate functions are bounded by a constant, where this constant can be selected with cross-validation. In this article, we establish that the nonparametric bootstrap for the HAL-TMLE, fixing the value of the sectional variation norm at a value larger or equal than the cross-validation selector, provides a consistent method for estimating the normal limit distribution of the HAL-TMLE. In order to optimize the finite sample coverage of the nonparametric bootstrap confidence intervals, we propose a selection method for this sectional variation norm that is based on running the nonparametric bootstrap for all values of the sectional variation norm larger than the one selected by cross-validation, and subsequently determining a value at which the width of the resulting confidence intervals reaches a plateau. We demonstrate our method for 1) nonparametric estimation of the average treatment effect based on observing on each unit a covariate vector, binary treatment, and outcome, and for 2) nonparametric estimation of the integral of the square of the multivariate density of the data distribution. In addition, we also present simulation results for these two examples demonstrating the excellent finite sample coverage of bootstrap-based confidence intervals.
90° Hybrid Coupler Design Technique for Wideband and Multimode mm-Wave operations featuring lateral ground planes virtual expansion in 28nm FD-SOI CMOS technology (2018)

International audience
5G New Radio: Unveiling the Essentials of the Next Generation Wireless Access Technology (2018)

The 5th generation (5G) wireless access technology, known as new radio (NR), will address a variety of usage scenarios from enhanced mobile broadband to ultra-reliable low-latency communications to massive machine type communications. Key technology features include ultra-lean transmission, support for low latency, advanced antenna technologies, and spectrum flexibility including operation in high frequency bands and inter-working between high and low frequency bands. This article provides an overview of the essentials of the state of the art in 5G wireless technology represented by the 3GPP NR technical specifications, with a focus on the physical layer. We describe the fundamental concepts of 5G NR, explain in detail the design of physical channels and reference signals, and share the various design rationales influencing standardization.
Polyelectrolyte photopolymer complexes for flame retardant wood (2022)

A polyelectrolyte complex coating was applied via photopolymerization for the first time, yielding a treatment that reduces wood's flammability.
Protective Effects of Complement Component 8 Gamma Against Blood-Brain Barrier Breakdown (2021)

The blood-brain barrier (BBB) regulates the traffic of micromolecules and macromolecules between the peripheral blood and the central nervous system, to maintain brain homeostasis. BBB disruption and dysfunction accompany a variety of neurological disorders and are closely related with the neuroinflammatory cascades that are triggered by leukocyte infiltration and glial activation. Here, we explored the role of complement component 8 gamma (C8G) in the maintenance of BBB integrity. Previously, C8G was shown to inhibit neuroinflammation by interfering with the sphingosine-1-phosphate (S1P)-S1PR2 interaction. The results of the present study revealed that C8G is localized in perivascular astrocytes, whereas S1PR2 is expressed in endothelial cells (ECs). In the lipopolysaccharide (LPS)-induced neuroinflammation model, the intracerebroventricular administration of the recombinant C8G protein protected the integrity of the BBB, whereas shRNA-mediated C8G knockdown enhanced BBB permeability and neutrophil infiltration. Using pharmacological agonists and antagonists of S1PR2, we demonstrated that C8G inhibited the inflammatory activation of ECs in culture by antagonizing S1PR2. In the <i>in vitro</i> BBB model, the addition of the recombinant C8G protein preserved endothelial integrity, whereas the knockdown of C8G exacerbated endothelial leakage under inflammatory conditions. Together, our findings indicate an important role for astrocytic C8G in protecting the BBB in the inflamed brain, suggesting a novel mechanism of cross talk between astrocytes and ECs in terms of BBB maintenance.
Learning control for task specific industrial robots (2016)

Iterative learning control (ILC) is a strategy that allows a control system to improve its performance by making use of the error signals collected from previous iterations. A prerequisite of using ILC is that the output reference has to be repetitive from trial to trial. A full run of ILC training (taking non-negligible time) is needed when there exist small changes in the reference signal. This paper introduces a new approach to extrapolate the converged ILC policies to previously unseen tracking problems. A time-frequency domain mapping is constructed to approximate the ILC policy for a group of trajectories used in a particular task, say spot welding. We also introduce the idea of feature-frequency space, where the ILC policies from different trajectories can be encoded into a single model. This model can generate a control policy that performs comparably to the ILC policy while having the advantage of not requiring a full training for a new trajectory. The proposed method implemented on a FANUC R-2000iC robot achieved 31.6% of vibration reduction whereas the standard ILC (i.e., with a full training for each particular trajectory) achieved 34.6% of vibration reduction.
IANA Registries for LSP Ping Code Points (2015)

RFCs 4379 and 6424 created name spaces for Multi-Protocol Label
Switching (MPLS) Label Switched Path (LSP) Ping. However, those RFCs
did not create the corresponding IANA registries for Downstream
Mapping object Flags (DS Flags), Multipath Types, Pad TLVs, and
Interface and Label Stack Address Types. There is now a need to make
further code point allocations from these name spaces. This document
updates RFCs 4379 and 6424 in that it creates IANA registries for that
purpose.
The unidirectional hypoxia‐activated prodrug OCT1002 inhibits growth and vascular development in castrate‐resistant prostate tumors (2017)

These studies provide the first evidence that OCT1002 can be an effective agent in treating hypoxic, castrate-resistant prostate tumors, either singly or in combination with established chemotherapeutics for prostate cancer.
Search for the rare decay $${{{B} ^+}} \!\rightarrow {\mu ^+} {\mu ^-} {\mu ^+} {{\upnu } _\mu } $$ (2019)

A search for the rare leptonic decay B + + - + is performed using proton-proton collision data corresponding to an integrated luminosity of 4.7 fb -1 collected by the LHCb experiment. The search is carried out in the region where the lowest of the two + -mass combinations is below 980 MeV/c 2 . The data are consistent with the background-only hypothesis and an upper limit of 1.610 -8 at 95% confidence level is set on the branching fraction in the stated kinematic region. CERN accelerator departments for the excellent performance of the LHC.
Contemporary failure aetiologies of the primary, posterior-stabilised total knee arthroplasty (2017)

Post-operative stiffness remains the most common indication for re-operation after TKA. Infection is the most common indication for modular and non-modular component revision. Aseptic loosening was not an uncommon cause of failure, however, it was much less common than in national registry and non-registry data. Focusing on posterior-stabilised TKAs initially performed at our institution allowed for an accurate assessment of the causes of failure in a contemporary specialty practice. Cite this article: <i>Bone Joint J</i> 2017;99-B:647-52.
Design of a Selective Substrate and Activity Based Probe for Human Neutrophil Serine Protease 4 (2015)

Human neutrophil serine protease 4 (NSP4), also known as PRSS57, is a recently discovered fourth member of the neutrophil serine proteases family. Although its biological function is not precisely defined, it is suggested to regulate neutrophil response and innate immune reactions. To create optimal substrates and visualization probes for NSP4 that distinguish it from other NSPs we have employed a Hybrid Combinatorial Substrate Library approach that utilizes natural and unnatural amino acids to explore protease subsite preferences. Library results were validated by synthesizing individual substrates, leading to the identification of an optimal substrate peptide. This substrate was converted to a covalent diphenyl phosphonate probe with an embedded biotin tag. This probe demonstrated high inhibitory activity and stringent specificity and may be suitable for visualizing NSP4 in the background of other NSPs.
Path Cover and Path Pack Inequalities for the Capacitated Fixed-Charge\n Network Flow Problem (2017)

Capacitated fixed-charge network flows are used to model a variety of\nproblems in telecommunication, facility location, production planning and\nsupply chain management. In this paper, we investigate capacitated path\nsubstructures and derive strong and easy-to-compute \\emph{path cover and path\npack inequalities}. These inequalities are based on an explicit\ncharacterization of the submodular inequalities through a fast computation of\nparametric minimum cuts on a path, and they generalize the well-known flow\ncover and flow pack inequalities for the single-node relaxations of\nfixed-charge flow models. We provide necessary and sufficient facet conditions.\nComputational results demonstrate the effectiveness of the inequalities when\nused as cuts in a branch-and-cut algorithm.\n
Development of Microbiology Plantation-Based Multimodal Segmentation for Smart Garden Using Machine Learning (2022)

Normally, gardens lower the ambient temperature, which would improve air quality, absorb pollutants, and produce oxygen. Trees reduce soil erosion, increase fertility, and help retain soil moisture. Decomposed leaves that fall in the garden become nutrients for tree growth and help microbes to thrive. When it comes to growing trees in a garden, one should try and choose native trees that are naturally found in a particular area. These trees are well adapted to the environment and require less maintenance. Many insects and birds rely on native trees for food and shelter. Therefore, they are best for the environment. However, not all native trees are evergreen trees. Many evergreen trees can be planted in a small garden. In this paper, a microplantation-based model was developed to enhance the biological impacts for a smart garden. Based on the garden requirements, the smart system was constructed. On this basis, the seeds are planted in the soil.
Synthesis and characterization of aromatic polyamides containing an s‐triazine ring with thiophenoxy linkages (2004)

Abstract A series of aromatic polyamides containing an s ‐triazine ring with thiophenoxy linkages was synthesized from two new diacids, namely 2,4‐bis‐(4‐carboxyphenoxy)‐6‐thiophenoxy‐ s ‐triazine and 2,4‐bis‐(3‐carboxyphenoxy)‐6‐thiophenoxy‐ s ‐triazine, and commercially available aromatic diamines by using Yamazaki's phosphorylation reaction. The polyamides were obtained in good yields and were characterized by solubility tests, viscosity measurements, FTIR, 1 H and 13 C NMR spectroscopy, X‐ray diffraction studies and thermogravimetric analysis. The polyamides were found to have inherent viscosities in the range of 0.35 to 0.56 dl g −1 in N , N ‐dimethylacetamide (DMAc) at 30 ± 0.1 °C. All the polyamides were readily soluble in solvents such as DMAc, N ‐methyl‐2‐pyrrolidone (NMP), N , N ‐dimethylformamide (DMF) and m ‐cresol. Thermogravimetric analysis of the polyamides indicated no weight loss below 345 °C under a nitrogen atmosphere. Copyright © 2004 Society of Chemical Industry
Modelling of Electron Injection and Confinement in Cryogenic 22-nm FD-SOI Quantum Dot Arrays (2022)

This paper provides an overview of modelling techniques for the simulation of electron injection and confinement in a semiconductor quantum dot array at cryogenic temperatures. We consider the industrial 22-nm FD-SOI fabrication process from Global Foundries. This is motivated by its application in scalable quantum computing systems. The injection and confinement process is broken into 3 steps; quantum point con-tact initialisation/pre-charging, cryogenic confinement potential formation, and finally readout and amplification. We show initial results for pre-charge simulations using Verilog-A and cryogenic laboratory measurements. Then we describe a COMSOL finite element model of an FD-SOI 4-gate array and report initial room temperature results. The difficulties associated with moving towards cryogenic solutions in our finite element model are then highlighted.