gebhart/patrepeval huggingface dataset:
A Study on the Use of Tertiary Storage in Multimedia Systems (1997)

In spite of the dramatic improvements in the cost of secondary storage, magnetic disks alone are inadequate for meeting the storage and delivery needs of many modern applications. Novel designs of storage hierarchies are needed if we wish to take advantage of the low cost of tape media but still provide reasonable performance characteristics, in the context of modern applications. Specifically, we are interested in multimedia storage server applications, which in addition to high storage and high bandwidth requirements must support display of continuous data streams (e.g., video) and thus satisfy real time constraints. In this paper we focus on the issues and tradeoffs involved in the design of multimedia tertiary storage systems that store and retrieve heterogeneous multimedia objects.
An unconstrained virtual bone clamper for a knee surgical robot using visual servoing technique (2010)

Abstract Medical robotics has high potential to bring patients real benefits due to its high accuracy positioning capability. However a patient's organ movement is still a challenge for medical robotics in achieving the expected high positioning accuracy. In orthorpaedic surgery, the target object is hard tissue. Obtaining accurate positioning is usually easier than with a soft tissue target. In the past, the solution was to use a mechanical clamper to fix and prevent the bone from moving. However, the invasive bone clamping approach has several drawbacks, such as additional damage to the bone, large errors for a loose bone, and constraints of ligament adjustment etc. Therefore, in this paper, an unconstrained virtual bone clamper has been proposed. Its aim is to provide the same bone freezing function as a traditional bone clamp, but it is implemented by software. The drawbacks of a physical bone clamp can be avoided. Experimental results on plastic sawbones resection demonstrate that using the virtual clamp, a robot can achieve accuracy as good ad when using a physical clamp whether the bone is fixed in place or moving.
Segment-based recovery (2009)

Although existing write-ahead logging algorithms scale to conventional database workloads, their communication and synchronization overheads limit their usefulness for modern applications and distributed systems. We revisit write-ahead logging with an eye toward finer-grained concurrency and an increased range of workloads, then remove two core assumptions: that pages are the unit of recovery and that times-tamps (LSNs) should be stored on each page. Recovering individual application-level objects (rather than pages) simplifies the handing of systems with object sizes that differ from the page size. We show how to remove the need for LSNs on the page, which in turn enables DMA or zero-copy I/O for large objects, increases concurrency, and reduces communication between the application, buffer manager and log manager. Our experiments show that the looser coupling significantly reduces the impact of latency among the components. This makes the approach particularly applicable to large scale distributed systems, and enables a "cross pollination" of ideas from distributed systems and transactional storage. However, these advantages come at a cost; segments are incompatible with physiological redo, preventing a number of important optimizations. We show how allocation enables (or prevents) mixing of ARIES pages (and physiological redo) with segments. We present an allocation policy that avoids undesirable interactions that complicate other combinations of ARIES and LSN-free pages, and then present a proof that both approaches and our combination are correct. Many optimizations presented here were proposed in the past. However, we believe this is the first unified approach.
A novel phase I/IIa open-label study of IMM-101 in combination with selected standard of care regimens in patients with metastatic cancer or unresectable cancer at study entry. (2017)

e14627 Background: The MODULATE (IMM-101-011, EUDRACT 2016-001459-28) trial recruits patients with metastatic or unresectable cancer considered for a new line of recognised SOC (1 st , 2 nd or 3 rd line and beyond). IMM-101 is a heat-killed whole cell Mycobacterium obuense (National Collection of Type Cultures [NCTC] 13365) for intradermal injection. Methods: The primary objective of the study is to provide safety data for IMM-101 in combination with several selected SOC regimens. The secondary objectives of the study are to provide safety and tolerability data for extended administration (beyond 28 weeks) of the immunomodulator IMM-101 in combination with a number of selected SOC regimens. A particular focus of the study is to evaluate safety data for the combination of IMM 101 with anti PD1 and with anti-CTLA 4. Pre-clinical data suggests that IMM-101 increases the response to PD1 in a syngeneic in vivo model of EMT6 breast cancer. Furthermore, in a syngeneic B16 melanoma tumour model the combination of IMM-101 with anti-PD1 antibodies increased T effector cells in the tumour and reduced the numbers of T-regulatory cells; significantly shifting the T-cell ratio towards anti-tumour efficacy. Results: The study aims through its translational programme to evaluate the best combination partner for IMM-101 due to the SOCs immunogenic cell death capabilities and supportive immunological activities. MODULATE will monitor selected markers of tumour burden and immunological status in patients taking IMM-101. Conclusions: The MODULATE study will initially recruit patients in the UK and France with US sites added in Q4 2017. Clinical trial information: NCT03009058. [Table: see text]
Field demonstration and evaluation of centralised voltage control system for distribution network (2017)

With the expansion of introduction of renewable energy sources such as photovoltaics (PV), voltage fluctuations (fluctuated voltage by PV output ups and downs depending on sunshine changing) in distribution network can be increasing. As a method of suppressing voltage fluctuations, intensive control of voltage control equipment by the introduction of a centralised voltage control system (CVCS) should be mentioned. In this study, through a field demonstration, the effect of suppressing voltage fluctuations by introducing the CVCS was evaluated and confirmed.
Syntheses of some polyunsaturated trifluoromethyl ketones as potential phospholipase A2 inhibitors (2000)

Starting from (all-Z)-icosa-5,8,11,14,17-pentaenoic acid [(all-Z)-eicosa-5,8,11,14,17-pentaenoic acid, EPA] and (all-Z)-docosa-4,7,10,13,16,19-hexaenoic acid (DHA) several trifluoromethyl ketones, containing sulfur or oxygen atoms at the β-position, have been synthesized as potential inhibitors of cytosolic phospholipase A2. As part of this work EPA and DHA have been oxidatively degraded to (all-Z)-pentadeca-3,6,9,12-tetraenal and (all-Z)-octadeca-3,6,9,12,15-pentaenal, respectively, in 75% overall yields.
Non-destructive sub-THz CW imaging (2005)

A simple, compact CW sub-THz imaging system, utilizing a 0.2 and 0.6 THz Gunn diode source is presented. A silicon beam lead diode detector and a Golay cell are used for the detection. Various results are presented, which show that the CW THz imaging modality is suitable for diverse applications, such as non-destructive testing and security. The key components of the system include the Gunn diode assembly, an optical chopper, a polyethylene lens, a detector, a lock-in amplifier, and two translation stages. The beam from the Gunn diode is focused on the sample being imaged by the polyethylene lens, the transmitted or reflected beam is measured by the detector. The energy transmitted through the sample at each point in the plane of the sample is detected. Since the system has relatively few components compared to pulsed THz imaging systems, it is less expensive and easier to design and operate, although it does not provide depth or spectral information about the sample. Since no time-delay scans take place, scanning can be done quickly compared to a time-domain system, limited by the maximum velocity of the translation stages and response of the detectors. It provides information about the macroscopic features of hidden structures within materials that are transparent to sub THz radiation, such as space shuttle insulating foam, articles of clothing, and luggage.
Photoinduced triple shape memory polyurethane enabled by doping with azobenzene and GO (2016)

A polymer-dispersed azobenzene and GO nanocomposite film was fabricated with shape memory polyurethane as a matrix.
5. State-of-the-art in biomass fast pyrolysis using acidic catalysts: direct comparison between microporous zeolites, mesoporous aluminosilicates and hierarchical zeolites (2020)

5. State-of-the-art in biomass fast pyrolysis using acidic catalysts: direct comparison between microporous zeolites, mesoporous aluminosilicates and hierarchical zeolites was published in Biomass and Biowaste on page 113.
Clinical Bioinformatics: challenges and opportunities (2012)

Clinical Bioinformatics goals are ambitious. Many factors, including the availability of high-throughput "-omics" technologies and equipment, the widespread availability of clinical data warehouses and the noteworthy increase in data storage and computational power of the most recent ICT systems, justify research and efforts in this domain, which promises to be a crucial leveraging factor for biomedical research.
Long‐Term Effects of Minimum Drinking Age Laws on Past‐Year Alcohol and Drug Use Disorders (2009)

Exposure to a lower minimum legal purchase age was associated with a significantly higher risk of a past-year alcohol or other substance use disorder, even among respondents in their 40s or 50s. However, this association does not seem to be explained by age of initiation of drinking, per se. Instead, it seems plausible that frequency or intensity of drinking in late adolescence may have long-term effects on adult substance use patterns.
The minimum variability time-scale and its relation to pulse profiles of Fermi GRBs (2012)

Abstract We present a direct link between the minimum variability time-scales extracted through a wavelet decomposition and the rise times of the shortest pulses extracted via fits of 34 Fermi Gamma-ray Burst Monitor (GBM) Gamma-Ray Burst (GRB) light curves comprised of 379 pulses. Pulses used in this study were fitted with lognormal functions, whereas the wavelet technique used employs a multiresolution analysis that does not rely on identifying distinct pulses. By applying a corrective filter to published data fitted with pulses, we demonstrate agreement between these two independent techniques and offer a method for distinguishing signal from noise.
Mutations of SGO2 and CLDN14 collectively cause coincidental Perrault syndrome (2016)

Perrault syndrome (PS) is a genetically heterogeneous disorder characterized by primary ovarian insufficiency (POI) in females and sensorineural hearing loss in males and females. In many PS subjects, causative variants have not been found in the five reported PS genes. The objective of this study was to identify the genetic cause of PS in an extended consanguineous family with six deaf individuals. Whole exome sequencing (WES) was completed on four affected members of a large family, and variants and co-segregation was confirmed by Sanger sequencing. All hearing impaired individuals, including the proband, are homozygous for a pathogenic variant of CLDN14, but this only explains the deafness. The PS proband is also homozygous for a frameshift variant (c.1453_1454delGA, p.(Glu485Lysfs*5)) in exon 7 of SGO2 encoding shugoshin 2, which is the likely cause of her concurrent ovarian insufficiency. In mouse, Sgol2a encoding shugoshin-like 2a is necessary during meiosis in both sexes to maintain the integrity of the cohesin complex that tethers sister chromatids. Human SGO2 has not previously been implicated in any disorder, but in this case of POI and perhaps others, it is a candidate for unexplained infertility.
Development of an ASTM Graphite Oxidation Test Method (2006)

PLC and PLR do not predict the time till the next relapse; however, they may reflect on neutrophilic inflammatory response during an exacerbation of COPD.
Trajectory tracking control of farm vehicles in presence of sliding (2005)

In automatic guidance of agriculture vehicles, lateral control is not the only requirement. Lots of research works have been focused on trajectory tracking control which can provide high longitudinal-lateral control accuracy. Satisfactory results have been reported as soon as vehicles move without sliding. But unfortunately pure rolling constraints are not always satisfied especially in agriculture applications where working conditions are rough and not expectable. In this paper the problem of trajectory tracking control of autonomous farm vehicles in presence of sliding is addressed. To take sliding effects into account, two variables which characterize sliding effects are introduced into the kinematic model based on geometric and velocity constrains in presence of sliding. With linearization approximation a refined kinematic model is obtained in which sliding appears as additive unknown parameters to the ideal kinematic model. By integrating parameter adaptation technique with backstepping method, a stepwise procedure is proposed to design a robust adaptive controller. It is theoretically proven that for the farm vehicles subjected to sliding, the longitudinal-lateral deviations can be stabilized near zero and the orientation errors converge into a neighborhood near the origin. To be more realistic for agriculture applications, an adaptive controller with projection mapping is also proposed. Simulation results show that the proposed (robust) adaptive controllers can guarantee high trajectory tracking accuracy regardless of sliding.
Variability in Anticardiolipin Antibody Detection: Role of Nonspecific IgG Binding and Different Microtiter Plates (2007)

There are many studies that are available on the Internet that attempt to standardize the assay for anticardiolipin antibody evaluation because of the variability of results. The aim of this study was to evaluate simultaneously the role of different microplates and the importance of sample nonspecific binding in determining different results in anticardiolipin antibody detection. Sera from 8 patients with raised levels of IgG anticardiolipin antibodies and 10 control sera were assayed by enzyme-linked immunosorbent assay in the presence (specific binding) or in the absence of cardiolipin (sample blank) with four different microplates, that is, NUNC PolySorp, FALCON ProBIND, Greiner 655061 (high binding), and Greiner 655001 (medium binding). Results were expressed as optical densities or net-optical densities (following sample blank subtraction) as well as international IgG anticardiolipin units (GPL) or net-GPL. A wide interplate variability of optical densities was found. When results were expressed as GPL, significant differences were only found between Greiner 655061, FALCON ProBIND, and NUNC PolySorp (P < .05 and P < .001, respectively) whereas differences were not statistically significant if interplate variability was analyzed as net-GPL. Results expressed as categorical variables (ie, positive/negative, according to a GPL cut-off and net-GPL cut-off, obtained with sera from 100 apparently healthy blood donors) showed a good or excellent Cohen's kappa coefficient of concordance among plates when positivity was evaluated on net-GPL. Our data strongly suggest that quantification and subtraction of sample blank may improve both interlaboratory agreement and reliability of anticardiolipin assay and minimize false-positive results.
Energetics of hydrogen bonding in proteins: A model compound study (1996)

Differences in the energetics of amide-amide and amide-hydroxyl hydrogen bonds in proteins have been explored from the effect of hydroxyl groups on the structure and dissolution energetics of a series of crystalline cyclic dipeptides. The calorimetrically determined energetics are interpreted in light of the crystal structures of the studied compounds. Our results indicate that the amide-amide and amide-hydroxyl hydrogen bonds both provide considerable enthalpic stability, but that the amide-amide hydrogen bond is about twice that of the amide-hydroxyl. Additionally, the interaction of the hydroxyl group with water is seen most readily in its contributions to entropy and heat capacity changes. Surprisingly, the hydroxyl group shows weakly hydrophobic behavior in terms of these contributions. These results can be used to understand the effects of mutations on the stability of globular proteins.
Real-Time Shadow Generation using Image Warping (2002)

Shadows are important elements in producing a realistic image. Generation of exact shapes and positions of shadows is essential in rendering since it provides users with visual cues on the scene. It is also very important to be able to create soft shadows resulted from area light sources since they increase the visual realism drastically. In spite of their importance. the existing shadow generation algorithms still have some problems in producing realistic shadows in real-time. While image-based rendering techniques can often be effective1y applied to real-time shadow generation, such techniques usually demand so large memory space for storing preprocessed shadow maps. An effective compression method can help in reducing memory requirement, only at the additional decoding costs. In this paper, we propose a new image-barred shadow generation method based on image warping. With this method, it is possible to generate realistic shadows using only small sizes of pre-generated shadow maps, and is easy to extend to soft shadow generation. Our method will be efficiently used for generating realistic scenes in many real-time applications such as 3D games and virtual reality systems.
Modeling proton interactions with magnetodynamic targets for electromagnetic field mapping (2021)

Proton radiography’s utilization of positively charged probing particles makes it susceptible to potential influences from electromagnetic forces generated at the target object. In this work, we investigate how the 800 MeV proton radiography system of Los Alamos National Laboratory would respond to such influences with intentions to develop proton radiography/deflectometry diagnostics capable of probing electromagnetic fields inside dynamically changing objects. To understand how the proton radiography system responds to object-generated electromagnetic fields, a series of simulations were performed, which map proton trajectories through the system. This leads to an understanding of how the radiographic images, normally dominated by multiple Coulomb scattering, would be modified. The simulations also highlight novel ways in which additional data could be collected to glean more information about electromagnetic influences within and around the target object.
Blockade of the C5a–C5aR axis alleviates lung damage in hDPP4 -transgenic mice infected with MERS-CoV (2018)

The pathogenesis of highly pathogenic Middle East respiratory syndrome coronavirus (MERS-CoV) remains poorly understood. In a previous study, we established an hDPP4-transgenic (hDPP4-Tg) mouse model in which MERS-CoV infection causes severe acute respiratory failure and high mortality accompanied by an elevated secretion of cytokines and chemokines. Since excessive complement activation is an important factor that contributes to acute lung injury after viral infection, in this study, we investigated the role of complement in MERS-CoV-induced lung damage. Our study showed that complement was excessively activated in MERS-CoV-infected hDPP4-Tg mice through observations of increased concentrations of the C5a and C5b-9 complement activation products in sera and lung tissues, respectively. Interestingly, blocking C5a production by targeting its receptor, C5aR, alleviated lung and spleen tissue damage and reduced inflammatory responses. More importantly, anti-C5aR antibody treatment led to decreased viral replication in lung tissues. Furthermore, compared with the sham treatment control, apoptosis of splenic cells was less pronounced in the splenic white pulp of treated mice, and greater number of proliferating splenic cells, particularly in the red pulp, was observed. These data indicate that (1) dysregulated host immune responses contribute to the severe outcome of MERS; (2) excessive complement activation, triggered by MERS-CoV infection, promote such dysregulation; and (3) blockade of the C5a-C5aR axis lead to the decreased tissue damage induced by MERS-CoV infection, as manifested by reduced apoptosis and T cell regeneration in the spleen. Therefore, the results of this study suggest a new strategy for clinical intervention and adjunctive treatment in MERS-CoV cases.
ChemInform Abstract: Preparation and Characterization of Ultrafine Amorphous Alloy Particles (1999)

Abstract ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 100 leading journals. To access a ChemInform Abstract of an article which was published elsewhere, please select a “Full Text” option. The original article is trackable via the “References” option.
Distributed Fine-Grained Traffic Speed Prediction for Large-Scale\n Transportation Networks based on Automatic LSTM Customization and Sharing (2020)

Short-term traffic speed prediction has been an important research topic in\nthe past decade, and many approaches have been introduced. However, providing\nfine-grained, accurate, and efficient traffic-speed prediction for large-scale\ntransportation networks where numerous traffic detectors are deployed has not\nbeen well studied. In this paper, we propose DistPre, which is a distributed\nfine-grained traffic speed prediction scheme for large-scale transportation\nnetworks. To achieve fine-grained and accurate traffic-speed prediction,\nDistPre customizes a Long Short-Term Memory (LSTM) model with an appropriate\nhyperparameter configuration for a detector. To make such customization process\nefficient and applicable for large-scale transportation networks, DistPre\nconducts LSTM customization on a cluster of computation nodes and allows any\ntrained LSTM model to be shared between different detectors. If a detector\nobserves a similar traffic pattern to another one, DistPre directly shares the\nexisting LSTM model between the two detectors rather than customizing an LSTM\nmodel per detector. Experiments based on traffic data collected from freeway\nI5-N in California are conducted to evaluate the performance of DistPre. The\nresults demonstrate that DistPre provides time-efficient LSTM customization and\naccurate fine-grained traffic-speed prediction for large-scale transportation\nnetworks.\n