gebhart/patrepeval huggingface dataset:
Characterization of a Novel 23-Kilodalton Protein of Unactive Progesterone Receptor Complexes (1994)

Immunoprecipitation of unactivated avian progesterone receptor results in the copurification of hsp90, hsp70, and three additional proteins, p54, p50, and p23. p23 is also present in immunoaffinity-purified hsp90 complexes along with hsp70 and another protein, p60. Antibody and cDNA probes for p23 were prepared in an effort to elucidate the significance and function of this protein. Antibodies to p23 detect similar levels of p23 in all tissues tested and cross-react with a protein of the same size in mice, rabbits, guinea pigs, humans, and Saccharomyces cerevisiae, indicating that p23 is a conserved protein of broad tissue distribution. These antibodies were used to screen a chicken brain cDNA library, resulting in the isolation of a 468-bp partial cDNA clone encoding a sequence containing four sequences corresponding to peptide fragments isolated from chicken p23. This partial clone was subsequently used to isolate a full-length human cDNA clone. The human cDNA encodes a protein of 160 amino acids that does not show homology to previously identified proteins. The chicken and human cDNAs are 88% identical at the DNA level and 96.3% identical at the protein level. p23 is a highly acidic phosphoprotein with an aspartic acid-rich carboxy-terminal domain. Bacterially overexpressed human p23 was used to raise several monoclonal antibodies to p23. These antibodies specifically immunoprecipitate p23 in complex with hsp90 in all tissues tested and can be used to immunoaffinity isolate progesterone receptor complexes from chicken oviduct cytosol.
Self-programming networks: Architecture and algorithms (2017)

The rapid growth and wide adoption of cloud computing platforms have made them very complex to operate and manage. The operators of cloud platforms and the underlying data center networks have desired to make them much more programmable. This has culminated in the development of the Software-Defined Networking paradigm. But you cannot program what you do not understand: the volume, velocity and richness of network applications seem beyond the ability of direct human comprehension. What is needed is a sensing, inference and learning system which can observe the data emitted by a network during the course of its operation, reconstruct the network's evolution, infer key performance metrics, continually learn the best responses to rapidly-changing load and operating conditions, and help the network adapt to them in real-time. This white paper describes Self-Programming Networks (SPNs), an ongoing research effort at Stanford for making networks autonomous; that is, to enable networks to sense and monitor themselves, and program and control themselves. We present a NIC-centric architecture for SPNs, describe systems and algorithms for (i) fine-grained network measurement using packet and probe timestamps taken at the edge, and (ii) nanosecond-level clock synchronization in real-time and at scale. We also describe how these enhancements can enable new applications on top of an SPN. While our initial work has been on developing the sensing and monitoring capabilities of SPNs, we describe future work on learning and control.
The ChiCI group (2006)

This paper describes the work, the vision, and the approach of the Child Computer Interaction (ChiCI) group at the University of Central Lancashire in the UK. This group, formed four years ago, has grown to become one of the leaders in its field whilst maintaining a democratic structure, an open mind, and an invigorating message. The paper describes the group's creation, outlines its current activities, and contemplates its future.
Minimum Fuel Control Strategy in Automated Car-Following Scenarios (2012)

Fuel consumption of traditional ground vehicles is significantly affected by how the vehicles are driven. This paper focuses on the servo-loop control design of a Pulse-and-Gliding (PnG) strategy to minimize fuel consumption in automated car following. A switching-based framework is proposed for real-time implementation. The corresponding controller was synthesized for ideal conditions and subsequently enhanced to compensate for practical factors such as powertrain dynamics, speed variations, and plant uncertainties. Simulations in both uniform and naturalistic traffic flows demonstrate that, compared with a linear quadratic (LQ)-based benchmark controller, the PnG controller improves fuel economy up to 20%. The significant fuel saving is achieved while maintaining precise range bounds so that the negative impact on safety/traffic flow is contained. The developed algorithm can potentially be embedded in adaptive cruise control systems to achieve fuel-saving function.
Preparation of thianucleoside derivatives. (1992)

1'-Deoxy-4'-thioribonucleoside 1 was synthesized from acyclic allylic alcohol 2 by 8 steps. TMSOTf and SnCl4 were found to be a good mediator for the key coupling of thiafuranose part with pyrimidine base to give beta-isomer preferentially.
Enhancing Hadoop System Dependability Through Autonomous Snapshot (2018)

The cloud computing has successfully facilitated many cutting-edge studies including Internet of Things, Big Data, and many others in recent years. The accomplishment of cloud computing cannot be realized without reliable infrastructure to store and maintain the colossal amount of data stored therein. The integrity of data stored on cloud systems could be compromised by viruses or human errors. As a result, it will be desirable for the cloud system to recover its file system to its prior states to enhance its dependability. Hadoop is one of the most popular cloud platforms utilized in the community of cloud computing. Its default file system Hadoop Distributed File System (HDFS) provides a tool, Snapshot, to take point-in-time copies of the entire or parts of the file system for system recovery in the future. Ideally, a new snapshot should be generated automatically when there are changes made to parts of the file system covered in snapshots so the system can reinstate those parts to any one of their prior states. Unfortunately, the HDFS Snapshot needs the user's involvement for each snapshot taken. We improved the Snapshot to autonomously retake snapshots in real time when changes made to parts of the file system already included in snapshots. Furthermore, the experimental results show that our design and implementation largely outperform what the current HDFS can do in the process of making changes to the file system and taking corresponding snapshots.
The Effect of Substrate Temperature on the Structure of Titanium Carbide Deposited by Activated Reactive Evaporation (1972)

A change in substrate temperature produces a marked change in the microstructure, preferred orientation, and microhardness of TiC deposits. At low temperatures (∼500 °C) the structure consists of tapered crystallites and changes to a structure consisting of columnar grains at the higher temperatures (∼1000 °C). The high temperature deposits exhibit very high microhardness values (∼4500–5000 kg/mm2 KHN).
A rice calcium-dependent protein kinase OsCPK9 positively regulates drought stress tolerance and spikelet fertility (2014)

Our results demonstrated that OsCPK9 is a positive regulator of abiotic stress tolerance, spikelet fertility, and ABA sensitivity.
DIAGNOSIS AND TROUBLESHOOTING OF COMPUTER FAULTS BASED ON EXPERT SYSTEM AND ARTIFICIAL INTELLIGENCE (2013)

The expert intelligent system is introduced to develop hardware fault detection for any computer system. Different hardware system or elec- tronics devices usually face application fault as well as hardware fault. This application oriented formal reasoning applies to determine the problem in com- puter system. This paper emphasizes an automated system that accepts the defects of any system and then after consulting with an intelligent database, diagnoses and advises for probable rectification. This is the extensions of the already published work by the authors implemented by Turbo Prolog program- ming language. This paper extends that concept exploring the boundary of Expert System targeting the implementation using Object Oriented web based programming approach. It proposes lot of new technological changes and in- c 2013 Academic Publications, Ltd.
Frustratingly Easy Person Re-Identification: Generalizing Person Re-ID in Practice (2019)

Contemporary person re-identification (\reid) methods usually require access to data from the deployment camera network during training in order to perform well. This is because contemporary \reid{} models trained on one dataset do not generalise to other camera networks due to the domain-shift between datasets. This requirement is often the bottleneck for deploying \reid{} systems in practical security or commercial applications, as it may be impossible to collect this data in advance or prohibitively costly to annotate it. This paper alleviates this issue by proposing a simple baseline for domain generalizable~(DG) person re-identification. That is, to learn a \reid{} model from a set of source domains that is suitable for application to unseen datasets out-of-the-box, without any model updating. Specifically, we observe that the domain discrepancy in \reid{} is due to style and content variance across datasets and demonstrate appropriate Instance and Feature Normalization alleviates much of the resulting domain-shift in Deep \reid{} models. Instance Normalization~(IN) in early layers filters out style statistic variations and Feature Normalization~(FN) in deep layers is able to further eliminate disparity in content statistics. Compared to contemporary alternatives, this approach is extremely simple to implement, while being faster to train and test, thus making it an extremely valuable baseline for implementing \reid{} in practice. With a few lines of code, it increases the rank 1 \reid{} accuracy by {11.8\%, 33.2\%, 12.8\% and 8.5\%} on the VIPeR, PRID, GRID, and i-LIDS benchmarks respectively. Source codes are available at \url{https://github.com/BJTUJia/person_reID_DualNorm}.
Functional Downregulation of P2X<sub>3</sub>Receptor Subunit in Rat Sensory Neurons Reveals a Significant Role in Chronic Neuropathic and Inflammatory Pain (2002)

The excitation of nociceptive sensory neurons by ATP released in injured tissue is believed to be mediated partly by P2X3 receptors. Although an analysis of P2X3 knock-out mice has revealed some deficits in nociceptive signaling, detailed analysis of the role of these receptors is hampered by the lack of potent specific pharmacological tools. Here we have used antisense oligonucleotides (ASOs) to downregulate P2X3 receptors to examine their role in models of chronic pain in the rat. ASOs and control missense oligonucleotides (180 microg/d) were administered intrathecally to naive rats for up to 7 d via a lumbar indwelling cannula attached to an osmotic minipump. Functional downregulation of the receptors was confirmed by alphabeta-methylene ATP injection into the hindpaw, which evoked significantly less mechanical hyperalgesia as early as 2 d after treatment with ASOs relative to controls. At this time point, P2X3 protein levels were significantly downregulated in lumbar L4 and L5 dorsal root ganglia. After 7 d of ASO treatment, P2X3 protein levels were reduced in the primary afferent terminals in the lumbar dorsal horn of the spinal cord. In models of neuropathic (partial sciatic ligation) and inflammatory (complete Freund's adjuvant) pain, inhibition of the development of mechanical hyperalgesia as well as significant reversal of established hyperalgesia were observed within 2 d of ASO treatment. The time course of the reversal of hyperalgesia is consistent with downregulation of P2X3 receptor protein and function. This study demonstrates the utility of ASO approaches for validating gene targets in in vivo pain models and provides evidence for a role of P2X3 receptors in the pathophysiology of chronic pain.
ChemInform Abstract: The Chiral Auxiliary ((C5H5)Fe(CO)(PPh3)) for Asymmetric Synthesis (1991)

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.
Absence of collagen-induced platelet activation caused by compound heterozygous GPVI mutations (2009)

The glycoprotein VI (GPVI)/FcRgamma complex is a key receptor for platelet activation by collagen. We describe, for the first time, 2 genetic abnormalities in one patient. This 10-year-old girl presented ecchymoses since infancy, a prolonged bleeding time despite a normal platelet count and no antiplatelet antibodies. Collagen-induced platelet activation was null, whereas GPVI quantification by flow cytometry evidenced an incomplete deficiency. Immunoblotting showed an abnormal migration of residual GPVI, and no FcRgamma defect. GPVI DNA sequencing revealed (1) an R38C mutation in exon 3 of one allele and (2) an insertion of 5 nucleotides in exon 4 of the other allele, leading to a premature nonsense codon and absence of the corresponding mRNA. Introduction of the R38C mutation into recombinant GPVI-Fc resulted in abnormal protein migration and a loss of collagen binding. Thus, this composite genetic GPVI deficiency and dysfunction cause absence of platelet responses to collagen and a mild bleeding phenotype.
Epidemiology of dermatophyte infections in Stockholm, Sweden: a retrospective study from 2005–2009 (2010)

Dermatophytic infections are common worldwide but the distribution of dermatophyte species varies among geographical areas and changes over time. The aim of this study was to determine the epidemiologic profile of dermatophytosis in Stockholm, Sweden. Laboratory records comprising direct microscopy and culture results of 37,503 specimens from skin, hair and nail scrapings collected from January 2005 through December 2009 were retrospectively analyzed in the mycology laboratory at Karolinska University Hospital. Onychomycosis had, over time, the highest overall prevalence of 14.1%, followed by tinea pedis (4.4%). Trichophyton rubrum was the predominant pathogen isolated from these cases (83.2%), followed by T. mentagrophytes (7.4 %). In contrast, T. violaceum and T. soudanense accounted for 81.6% of the isolates from patients with tinea capitis.
A new approach for high level video structuring (2002)

The paper introduces a high level video structuring scheme using both color and motion features. Until now, color information has been used for video scene segmentation research. However, action movies with rapid motion of objects have characteristics of dynamic changes of color information. In this case, the traditional approach is not so appropriate. To overcome this drawback, a new criterion for video shot similarity using color and motion features is presented and discussed. Then, a new adaptive scene segmentation algorithm is proposed, of which the main features include adaptive weighting of color and motion similarity between two shots. Moreover, the improved overlapping links scheme is proposed for reducing the time cost for shot grouping. The proposed scheme is evaluated using the movie: Terminator II, together with implementing a prototype video browsing system using the structured video.
Thermodynamics of Nucleotide and Non-ATP-Competitive Inhibitor Binding to MEK1 by Circular Dichroism and Isothermal Titration Calorimetry (2007)

MEK1 is a member of the MAPK signal transduction pathway that responds to growth factors and cytokines. A wealth of information about the enzymatic activity of MEK1, its domain functions, and inhibitor action is available; however, the thermodynamic properties of the interaction between MEK1 and ligands, such as nucleotides and non-ATP-competitive inhibitors, have not been reported. This study describes the thermodynamic parameters for the binding interactions of MEK1, nucleotides, and non-ATP-competitive inhibitor complexes using temperature-dependent circular dichroism (TdCD) and isothermal titration calorimetry (ITC). Non-phosphorylated MEK1 (npMEK1) has a high affinity for both AMP-PNP and ADP (Kd approximately 2microM). The binding is enthalpically favored and Mg-dependent. The active, phosphorylated form of MEK1 (pMEK1) bound nucleotides with a similar high affinity (Kd approximately 2muM) and had a thermodynamic profile and Mg-dependence similar to that of the non-phosphorylated form. The non-ATP-competitive MEK1 inhibitors, U0126 and PD0325901, showed no preference for npMEK1 and pMEK1 by TdCD. TdCD results also showed that these inhibitors are more potent in the presence of the nucleotide than in its absence. The ternary complex, MEK1.PD0325901.nucleotide, showed synergistic binding as evidenced by a large, non-additive shift in the midpoint of the protein unfolding transition (Tm). This was apparent for both npMEK1 and pMEK1 using either ADP or AMP-PNP. ITC binding studies confirmed the synergistic binding effect. The ITC-determined affinity of nucleotide (AMP-PNP, ADP) binding to the npMEK1.PD0325901 complex was enhanced nearly 5-fold compared to nucleotide binding to npMEK1 alone. In addition, the affinity of PD0325901 binding to npMEK1.nucleotide complexes was increased nearly 10-fold relative to the affinity of PD0325901 for npMEK1 alone. These are the first thermodynamic binding studies that characterize the affinity of the allosteric non-ATP-competitive inhibitors U0126 and PD0325901 with and without the nucleotide. The results indicate these allosteric inhibitors have a dynamic range in the type of MEK1 activation states and nucleotide complexes that they can bind.
Two cases of chronic graft-versus-host disease with elevated levels of soluble Fas ligand in serum (2000)

It has recently been shown that the Fas-Fas ligand (FasL) system may be one of the pathogeneses for acute graft-versus-host disease (GVHD), and it has been reported that serum soluble Fas ligand (sFasL) increases with the presence of acute GVHD. However, there is no report on a correlation between the Fas-FasL system and chronic GVHD. We present two cases of chronic GVHD with elevated levels of serum sFasL. Its level in each case was high at the onset of chronic GVHD, but it decreased with steroid therapy. Liver dysfunction also improved as the level of serum sFasL decreased. It appears in these cases that the Fas-FasL system was related to the pathogenesis of liver damage.
RESEARCH ON WC REINFORCED METAL MATRIX COMPOSITE (2006)

It was summarized that the influence of WC particle kinds, WC particle content, WC particle size on the wear-resisting property of WC reinforced metal matrix composite and some preparation methods of WC reinforced metal matrix composite were also introduced.
Sharp Minima Can Generalize For Deep Nets (2017)

Despite their overwhelming capacity to overfit, deep learning architectures tend to generalize relatively well to unseen data, allowing them to be deployed in practice. However, explaining why this is the case is still an open area of research. One standing hypothesis that is gaining popularity, e.g. Hochreiter & Schmidhuber (1997); Keskar et al. (2017), is that the flatness of minima of the loss function found by stochastic gradient based methods results in good generalization. This paper argues that most notions of flatness are problematic for deep models and can not be directly applied to explain generalization. Specifically, when focusing on deep networks with rectifier units, we can exploit the particular geometry of parameter space induced by the inherent symmetries that these architectures exhibit to build equivalent models corresponding to arbitrarily sharper minima. Furthermore, if we allow to reparametrize a function, the geometry of its parameters can change drastically without affecting its generalization properties.
Diagnostic of Connector's Degradation Level by Frequency Domain Reflectometry (2012)

Because of the increasing size of electrical networks in automotives, the degradation of wires and connectors has become a major concern. As a matter of fact, severe system failures are often merely due to broken wires, bad crimping or degraded connectors. Furthermore, the difficulty to localize those kinds of defects using nowadays techniques generally leads to costly repair. Reflectometry is a well-known method used to monitor the health of lines and wired networks. Wiring networks can be affected with two types of faults: "soft ones" are created by the change of the impedance along the line due to different kinds of defects (insulation, radial crack, and degradation of connector...) in the wire and "hard ones" which correspond to open and short circuits. For the first type of faults, the frequency-domain response of the faulty wiring presents a modification of the impedance, in the defect location. For that reason, this paper focuses on the application of the reflectometry technique to the broadband characterization of a vibration degraded Cu-Sn connector. Once the Sn plating is removed, the electrical properties of the contact interface are entirely modified. The results presented in this paper show that observing such kind of transition can be used as criteria for estimating the degradation level of the connector.
Impact of device geometry and doping concentration variation on electrical characteristics of 22nm FinFET (2013)

This paper presents the impact of device physical geometry and doping concentration variation on dc characteristics of 22nm FinFET. The device geometry such as thickness of fin (T <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">fin</sub> ) and gate oxide thickness (t <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">ox</sub> ) are varied and the performance such as threshold voltage (V <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">th</sub> ), subthreshold swing (SS), on current (I <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">on</sub> ), off current (I <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">off</sub> ) of FinFET are analyzed using TCAD. Also the impact of doping concentration on dc characteristics were studied. The results show that for T <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">fin</sub> of 3nm, t <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">ox</sub> of 1.5nm and fin height (H <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">fin</sub> ) of 7nm has higher I <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">on</sub> and lower I <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">off</sub> .
Minimum Phoneme Error Based Heteroscedastic Linear Discriminant Analysis for Speech Recognition (2006)

We introduce a discriminative feature analysis method that seeks to minimize phoneme errors in lattice-based training frameworks. This technique, referred to as minimum phoneme error heteroscedastic linear discriminant analysis (MPE-HLDA), is shown to be more robust than traditional LDA methods in high dimensional spaces, and easy to incorporate with existing training procedures, such as HLDA-SAT and discriminative training of hidden Markov models (HMMs). Results on conversational telephone speech and broadcast news corpora also show that the recognition accuracy is improved using features selected by MPE-HLDA.