gebhart/patrepeval huggingface dataset:
Optimal Design for PET Bottle to Maximize Reliability (2010)

Kurzfassung This study presents the new development in the 1.8l Eagle shape of an edible oil bottle made of polyethylene terephthalat (PET) virgin resin. The study refers to an increasing of the stretch ratio between the bottle and the preform. The new preform design offers several advantages including light-weight, reduced electrical consumption, maintaining good quality level and improvement of some mechanical properties (ductility and toughness) for many bottle applications. Mainly, the study has been divided into two parts, i.e. experimental work and finite element analysis. Regarding the experimental work, substantial modifications of the injection unit have been made to produce the new preform fitting to the new stretch ratio. The modification comprises the pair of injection cores, cavity, guide ring, and two pairs of split insert. Also, in the experimental work 126 tension tests with standard samples from bottles before and after the modification have been performed. The specimens have been taken from seven areas of the bottle and have been loaded in two directions (axial and hoop). Finally, the new bottle quality level has been experimentally checked by load tests, stacking tests and center closure leak tests. For the finite element simulations, solid modeling of the complex bottle shape by SolidWorks has been carried out, followed by finite element analyses with Abaqus to calculate the stress and displacement in the bottle areas and also to compare the behavior of the stress distributions for old and new bottles. Among others, as the major result of this study a 16.2% reduction in the bottle weight has been achieved which will reduce the material cost. Regarding the mechanical properties for the new bottle, like ductility and toughness, a number of significant improvements have been made in many bottle areas. In the most critical area, the ductility has been improved by 180% and the toughness by 35%. The non-linear finite element analyses have revealed a maximum stress reduction of 36% as compared to the old bottle.
1104: In Vitro and In Vivo Assessment of 18F-FLT as a Proliferation Marker in Prostate Cancer Tumor Model (2004)

You have accessJournal of UrologyDiscussed Poster, Monday, May 10, 2004, 1:00 - 5:00 pm1 Apr 20041104: In Vitro and In Vivo Assessment of 18F-FLT as a Proliferation Marker in Prostate Cancer Tumor Model Nobuyuki Oyama, Datta E. Ponde, Ryuji Higashikubo, Carmen S. Dence, Yuan-Chuan Tai, Joonyoung Kim, Hironobu Akino, Osamu Yokoyama, and Michael J. Welch Nobuyuki OyamaNobuyuki Oyama More articles by this author , Datta E. PondeDatta E. Ponde More articles by this author , Ryuji HigashikuboRyuji Higashikubo More articles by this author , Carmen S. DenceCarmen S. Dence More articles by this author , Yuan-Chuan TaiYuan-Chuan Tai More articles by this author , Joonyoung KimJoonyoung Kim More articles by this author , Hironobu AkinoHironobu Akino More articles by this author , Osamu YokoyamaOsamu Yokoyama More articles by this author , and Michael J. WelchMichael J. Welch More articles by this author View All Author Informationhttps://doi.org/10.1016/S0022-5347(18)38341-1AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail "1104: In Vitro and In Vivo Assessment of 18F-FLT as a Proliferation Marker in Prostate Cancer Tumor Model." The Journal of Urology, 171(4S), p. 291 © 2016 by American Urological AssociationFiguresReferencesRelatedDetails Volume 171Issue 4SApril 2004Page: 291 Advertisement Copyright & Permissions© 2016 by American Urological AssociationMetricsAuthor Information Nobuyuki Oyama More articles by this author Datta E. Ponde More articles by this author Ryuji Higashikubo More articles by this author Carmen S. Dence More articles by this author Yuan-Chuan Tai More articles by this author Joonyoung Kim More articles by this author Hironobu Akino More articles by this author Osamu Yokoyama More articles by this author Michael J. Welch More articles by this author Expand All Advertisement PDF DownloadLoading ...
U-YOLO: higher precision YOLOv4 (2021)

YOLO is a milestone algorithm of object detection, which is the first One-stage detector in deep learning era. In spite of its great improvement of detection speed, the detection accuracy is somewhat insufficient, especially for small targets. In this paper, U-shaped module based on YOLOv4 (U-YOLO) is proposed. First, multi-level features extracted by CSPDarknet using Feature Pyramid Network (FPN) are fused. Then, the fused features is fed into multiple U-shaped modules. Finally, feature maps consisting of the features from different U-shaped modules are gathered up to construct a feature pyramid for object detection. Experiment shows that the U-shaped module can improve the accuracy of YOLOv4.
Three-Dimensional Architecture of Ancient Lower Delta-Plain Point Bars Using Ground-Penetrating Radar, Cretaceous Ferron Sandstone, Utah (2004)

Abstract Accurate three-dimensional description of reservoir architecture using outcrop analogs is hampered by limited exposure of essentially two-dimensional outcrops. This study contains the first fully three-dimensional description of ancient marine-influenced point bar sandstones of lower delta-plain distributary channels and is based on the integration of detailed outcrop and drill-hole data, and two-and three-dimensional ground-penetrating radar data. The studied outcrops are in the Cretaceous Ferron Sandstone of east-central Utah. Point bars deposited in marine-influenced, lower delta-plain channels show complex facies and geometries that resemble both fluvial point bars (upward-fining grain-size distribution and laterally stacked inclined bedsets), and tidally influenced point bars (extensive mud drapes on the inclined bedset surfaces and upstream migration of inclined bedsets). The bankfull width and mean bankfull depth were estimated at 225-150 m (738-492 ft) and at 3.9-5.2 m (12.8-17.1 ft), respectively. The heterogeneities in these point-bar deposits include mudstone drapes on the upper bounding surfaces of the inclined bedsets, and mudstone intraclast conglomerates lying on basal erosional scours of inclined bedsets. The spatial distribution of these heterogeneities is determined by direct mapping in outcrop in conjunction with modeling ground-penetrating radar amplitudes by geostatistical techniques. Mudstone layers are generally 5 m (16 ft) in length in the direction parallel to flow with a small percentage of mudstone layers 15 m (49 ft) in length, and 10 m (33 ft) perpendicular to flow, downdip along the inclined beds. The detailed distribution of heterogeneities inside reservoirs potentially affects flow behaviour.
Low-Bandwidth and Compute-Bound RGB-D Planar Semantic SLAM (2021)

Visual simultaneous location and mapping (SLAM) using RGB-D cameras has been a necessary capability for intelligent mobile robots. However, when using point-cloud map representations as most RGB-D SLAM systems do, limitations in onboard compute resources, and especially communication bandwidth can significantly limit the quantity of data processed and shared. This article proposes techniques that help address these challenges by mapping point clouds to parametric models in order to reduce computation and bandwidth load on agents. This contribution is coupled with a convolutional neural network (CNN) that extracts semantic information. Semantics provide guidance in object modeling which can reduce the geometric complexity of the environment. Pairing a parametric model with a semantic label allows agents to share the knowledge of the world with much less complexity, opening a door for multi-agent systems to perform complex tasking, and human-robot cooperation. This article takes the first step towards a generalized parametric model by limiting the geometric primitives to a planar surface and providing semantic labels when appropriate. Two novel compression algorithms for depth data and a method to independently fit planes to RGB-D data are provided, so that plane data can be used for real-time odometry estimation and mapping. Additionally, we extend maps with semantic information predicted from sparse geometries (planes) by a CNN. In experiments, the advantages of our approach in terms of computational and bandwidth resources savings are demonstrated and compared with other state-of-the-art SLAM systems.
Sensor and actuator networks - Query processing in sensor networks (2004)

Smart sensors are small wireless computing devices that sense information such as light and humidity at extremely high resolutions. A smart sensor query-processing architecture using database technology can facilitate deployment of sensor networks. Smart-sensor technology enables a broad range of ubiquitous computing applications. Their low cost, small size, and untethered nature lets them sense information at previously unobtainable resolutions. We discuss about query processing in sensor networks.
Kinetic Analysis of the Psychrophilic Anaerobic Digestion of Wastewater Derived from the Production of Proteins from Extracted Sunflower Flour (2002)

A kinetic analysis of the anaerobic digestion process of wastewater derived from the production of protein isolates from extracted sunflower flour was carried out. The digestion was conducted in a laboratory-scale fluidized bed reactor with saponite (magnesium silicate) as support for the mediating bacteria at psychrophilic temperature (15-19 degrees C). Soluble chemical oxygen demand (COD(s)) removal efficiencies in the range of 95.9-69.0% were achieved in the reactor at organic loading rates (OLR) of between 0.57 and 2.49 g total COD (COD(t))/L d, hydraulic retention times (HRT) of between 20.0 and 4.5 days, and average feed total COD concentration of 11.3 g/L. The yield coefficient of methane production was 0.32 L of methane (at STP) per gram of COD(t) removed. The total volatile fatty acid (TVFA) levels and the TVFA/alkalinity ratio were lower than the suggested limits for digester failure for OLR and HRT up to 2.26 g COD(t)/L d and 5.0 days, respectively. The specific rate of substrate uptake, r (g COD(s)/g VSS d), correlated with the concentration of biodegradable substrate, S (g COD(s)/L), through an equation of the Michaelis-Menten type. The maximum substrate utilization rate, k, and the Michaelis constant, K(s)(), were found to be 0.125 g COD(s)/g VSS d and 124 mg COD(s)/L, respectively. This proposed model predicted the behavior of the reactor very accurately showing deviations lower than 10% between the experimental and theoretical values of substrate uptake rates. A mass (COD(t)) balance around the reactor allowed the COD equivalent of methane volume (W(CH)4) to be obtained, which gave a value of 2.89 g COD(t)/L CH(4), which was virtually coincident with the theoretical value of 2.86 g COD(t)/L CH(4).
Metallkomplexe mit biologisch wichtigen Liganden, CXXXII*. N,O-Chelatkomplexe von Palladium(II), Platin(II) und Iridium(III) mit dem Anion von Glucosaminsäure (2-Amino-2-deoxy-D-gluconsäure) / Metal Complexes of Biologically Important Ligands, CXXXII*. N ,O -Chelate Complexes of Palladium (II), Platinum (II), and Iridium (III) with the Anion of Glucosaminic Acid (2-Amino-2-deoxy-D-gluconic Acid) (2001)

Abstract From 2-amino-2-deoxy-D-gluconic acid (LH) and chloro bridged metal complexes the N,O chelates (R 3 P)(Cl)Pd(L) (R = n-C 4 H 9 , Ph), (n-C 4 H 9 ) 3 P(Cl)Pt(L), (C 6 H 4 CH 2 NMe 2 )Pd(L), (Ph-N=N-C 6 H 4 )Pd(L), Cp*(Cl)Ir(L) are formed. They were characterized by analytical and spectroscopic data.
A novel strategy for cardiopulmonary support during lung transplantation (2018)

Contemporary modalities for cardiopulmonary support during lung transplantation include traditional cardiopulmonary bypass (CPB) and venoarterial extracorporeal membrane oxygenation (VA-ECMO). While highly effective, both are associated with morbidities such as arteriopathy and bleeding diathesis. In this report, we describe a novel approach for cardiopulmonary support during double lung transplantation in a patient with end-stage lung disease, pulmonary hypertension and moderate right ventricle (RV) dysfunction, using a percutaneous dual lumen cannula placed via the jugular vein which allowed us to achieve both RV bypass and membrane oxygenation. The cannula was left in place to provide ongoing RV support and the patient was successfully decannulated at bedside on post-operative day (POD) 2. Lack of arterial cannulation, percutaneous access, and bedside decannulation are benefits of this strategy, rendering this approach a useful addition to the armamentarium for CPB techniques in lung transplantation.
Light phase-restricted feeding slows basal heart rate to exaggerate the type-3 long QT syndrome phenotype in mice (2014)

Long QT syndrome type 3 (LQT3) is caused by mutations in the SCN5A-encoded Nav1.5 channel. LQT3 patients exhibit time of day-associated abnormal increases in their heart rate-corrected QT (QTc) intervals and risk for life-threatening episodes. This study determines the effects of uncoupling environmental time cues that entrain circadian rhythms (time of light and time of feeding) on heart rate and ventricular repolarization in wild-type (WT) or transgenic LQT3 mice (Scn5a(+/ΔKPQ)). We used an established light phase-restricted feeding paradigm that disrupts the alignment among the circadian rhythms in the central pacemaker of the suprachiasmatic nucleus and peripheral tissues including heart. Circadian analysis of the RR and QT intervals showed the Scn5a(+/ΔKPQ) mice had QT rhythms with larger amplitudes and 24-h midline means and a more pronounced slowing of the heart rate. For both WT and Scn5a(+/ΔKPQ) mice, light phase-restricted feeding shifted the RR and QT rhythms ~12 h, increased their amplitudes greater than twofold, and raised the 24-h midline mean by ~10%. In contrast to WT mice, the QTc interval in Scn5a(+/ΔKPQ) mice exhibited time-of-day prolongation that was flipped after light phase-restricted feeding. The time-of-day changes in the QTc intervals of Scn5a(+/ΔKPQ) mice were secondary to a steeper power relation between their QT and RR intervals. We conclude that uncoupling time of feeding from normal light cues can dramatically slow heart rate to unmask genotype-specific differences in the QT intervals and aggravate the LQT3-related phenotype.
Effectiveness of feature groups for automated pairwise leukocyte class discrimination. (1979)

Automated blood cell differentials using statistical classification techniques have been implemented in several commercial machines. The machine-derived features used to classify leukocytes resemble the descriptors used by humans performing visual classification, e.g. size, content, shape, color, and texture. However, because of our crude modeling of vision there is no universally accepted measure of characteristics such as shape, color, or texture. One expects, therefore, that features which are powerful discriminators for humans may perform poorly when quantified by machine, while other parameters may be more precisely measured automatically and so prove more useful in cell classification. This paper reports the results of a feature evaluation study for automated discrimination between all pairs of a large set of leukocyte classes consisting of both normal and abnormal types. To provide a framework for comparing automated feature ordering with the ranking attached by medical technologists, the machine-derived features were divided into six groups: size and content, mean and mode, cytoplasm/nucleus comparison, contrast and texture, color, and nuclear shape. A sequential procedure was used to select the best five-feature set from each group and the globally best five-feature set for each pairwise classification. The results illustrate the strengths and weaknesses of machine-derived descriptors for each type of decision.
Improvement of Electrical/optical Characteristics Using Mg-doped GaN Spacers and Quantum Barriers for Nonpolar GaN light-emitting Diodes (2011)

We report on the simulation results of electrical/optical characteristics for nonpolar GaN LED having Mg-doped GaN spacer and quantum barrier, in comparison with those of the typical nonpolar GaN LED. In order to reduce the band-gap energy distortion and conduction-band discontinuity in InGaN/GaN multiple quantum wells(MQWs) of nonpolar GaN LED, and thereby to increase their current-voltage, light output power and emission peak intensity, we applied 6 nm-thick p-type() GaN spacer and GaN QB schemes to the typical nonpolar GaN LED epitaxial structure. As a result, we found that the radiative recombination rate was increased by 23% in MQWs at 20 mA current injection. Also, the forward voltage() and the light output power() were improved by 3.7% and 7%, respectively, for the proposed nonpolar LED epitaxial structure, compared with those of the typical nonpolar GaN LED.
ChemInform Abstract: Synthetic Pathways to 2,2‐Dimethyl‐6‐oxo‐1‐cyclohexaneacetic Acid, a Useful Isoprenoid Building Block. (1997)

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.
NON-DESTRUCTIVE SEED EVALUATION WITH IMPACT MEASUREMENTS AND X-RAY ANALYSIS (1994)

Non-destructive testing is important in the search for seed characteristics that relate to quality. It provides a means for consecutive testing on a seed by seed basis. If the tests are fast and can be automated they can form the basis for rapid new analysis methods or online sorting. X-ray analysis of tomato seeds enables us to predict seedling morphology. Acoustic analysis provides rapid physical assessment of seeds, which correlates with seed coat conditions. Both techniques can be automated and provide potential new sorting techniques. The X-ray technique provided us with some evidence for the origin of vigour differences in tomato seeds: morphological differences in seed embryos and the availability of endosperm proved to be crucial.
Fiddler Crab Regulation of Spartina alterniflora Production on a New England Salt Marsh (1985)

While a great deal of research has been directed at understanding the high productivity of marsh grasses, little attention has been paid to the potential importance of marsh fauna in influencing marsh grass production. The mud fiddler crab, Uca pugnax, excavates burrows in Spartina alterniflora—dominated salt marshes along the East Coast of North America. Here, I examined experimentally the effect of fiddler crab burrowing on S. alterniflora production. At low intertidal heights, S. alterniflora production was robust and characterized by tall—form plants with roots and rhizomes that penetrate deeply into the substrate. At higher tidal heights, low productivity, short—form S. alterniflora with a dense superficial root mat prevailed. Fiddler crabs differentially affected grass production at different tidal heights. In tall—form S. alterniflora stands at intermediate tidal heights, experimental reduction of fiddler crab density for a single growing season decreased aboveground production by 47% and increased root mat density by 35%. In contrast, on the lower intertidal soft edge of the marsh and in the high intertidal, dense root mat, short—form S. alterniflora zone, experimental reduction of crab density did not have as marked an effect on cordgrass production. Crab burrows were shown to increase soil drainage, soil oxidation—reduction potential, and in situ decompostion of belowground plant debris. The relationship between fiddler crabs and S. alterniflora appears to represent a faculatative mutualism. On the sewart edge of marshes in soft sediment that would not otherwise support burrow structures, the roots, rhizomes, and debris of S. alterniflora provide structural support and consequently facilitate burrowing. At intermediate tidal heights, intensive burrowing activity increases aboveground grass production and prevents the establishment of a dense root mat, while crabs are largely precluded from burrowing in the dense root mat, short—form S. alterniflora stands at higher tidal heights. Therefore, while initially dependent on S. alternifora in soft sediments, U. pugnax burrowing activity appears to maintain a habitat suitable for continued burrowing, and as a byproduct, increases cordgrass production and maintains tall—form S. alterniflora stands.
FAHES (2018)

Missing values are common in real-world data and may seriously affect data analytics such as simple statistics and hypothesis testing. Generally speaking, there are two types of missing values: explicitly missing values (i.e. NULL values), and implicitly missing values (a.k.a. disguised missing values (DMVs)) such as "11111111" for a phone number and "Some college" for education. While detecting explicitly missing values is trivial, detecting DMVs is not; the essential challenge is the lack of standardization about how DMVs are generated. In this paper, we present FAHES, a robust system for detecting DMVs from two angles: DMVs as detectable outliers and as detectable inliers. For DMVs as outliers, we propose a syntactic outlier detection module for categorical data, and a density-based outlier detection module for numerical values. For DMVs as inliers, we propose a method that detects DMVs which follow either missing-completely-at-random or missing-at-random models. The robustness of FAHES is achieved through an ensemble technique that is inspired by outlier ensembles. Our extensive experiments using real-world data sets show that FAHES delivers better results than existing solutions.
Optical Filter Dispersion in WDM Systems: A Review (1999)

Dense WDM systems rely on the ability to pack many wavelength channels in a given spectral bandwidth. This implies that very good optical filters are needed to separate these channels, while not disturbing adjacent channels. In this paper we discuss the dispersive properties of optical filters (their phase response) and their impact on DWDM systems. We review recent theoretical and experimental results demonstrating the detrimental effects of filter dispersion on data transmission. We also address ways of mitigating filter dispersion using linear phase filters and phase-only (all-pass) filters.