gebhart/patrepeval huggingface dataset:
Improved Modeling of Kinematics-Induced Geometric Variations in Extrusion-Based Additive Manufacturing Through Between-Printer Transfer Learning (2021)

For extrusion-based additive manufacturing, the variation in material deposition can significantly affect printed material distribution, causing infill nonuniformity and defects. These variations are induced by kinematic variations of the printer extruder. Such infill nonuniformity is more significant in an application of collaborative printing systems by which multiple printers’ extrudes co-create the same structure since more accelerate–decelerate kinematic cycles are involved. There is a lack of a quantitative understanding of the impact of printing kinematics on such variations to guide the printing process control. This article deals with the challenge by establishing a mathematical model that quantifies the printing width variations along the printing paths induced by printing speed and acceleration. The model provides vital information for predicting infill pattern nonuniformity and potentially enables using G-code adjustment to compensate for the infill errors in future research. In addition, since the model captures the mechanism of kinematics-induced variations, it provides a way of between-printer knowledge transfer on estimating printing errors. This article further proposes an informative-prior-based transfer learning algorithm to improve the quality prediction model for a printer with limited historical data by leveraging the shared data from interconnected 3-D printers. A case study based on experiments validated the effectiveness of the proposed methodology. <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Note to Practitioners</i> —This article quantitatively studies the impact of extruder kinematics on geometric variations and printing quality in extrusion-based 3-D printing processes. The model can help predict the geometric printing quality and related defects, such as overfill or underfill problems given kinematics setup by G-code. This study can expedite the learning process of printing variations induced by kinematics for new printers to set up monitoring and G-code adjustment for process control in the early stage of production when the data are limited. In the long run, such between-printer transfer learning has the potential to enable the transfer learning for interconnected collaborative 3-D printing systems with improved printing efficiency and quality.
Viral initialization for spectral clustering (2017)

Spectral Clustering is one of the most widely used cluster- ing algorithms. To find k clusters, it runs the K-means algorithm on the top k eigenvectors of a Laplacian matrix constructed from the da ...
Media-Based Modulation for Future Wireless Systems: A Tutorial (2019)

The wireless revolution has already started with the first official 3GPP release of 5G wireless networks, which is expected to support a plethora of applications. Despite the development of several modern communication technologies, since the beginning of the modern era of digital communications, we have been mostly conveying information by altering the amplitude, the phase, or the frequency of sinusoidal carrier signals, which has inherent drawbacks. On the other hand, IM provides an alternative dimension to transmit digital information: the indices of the corresponding communication systems' building blocks. MBM, which is one of the newest and the most prominent members of the IM family, performs the transmission of information by altering the far-field radiation pattern of reconfigurable antennas and provides a completely new dimension to convey information: wireless channel fade realizations themselves through the unique signature of received signals. The aim of this article is to shed light on this promising frontier from a broad communication engineering perspective by discussing the most recent advances as well as possible interesting research directions in MBM technologies.
Device breakdown optimization of AhOs/GaN MISFETs (2016)

In this paper we demonstrate a solution to achieve robust enhancement-mode Al <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> O <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</inf> /GaN MISFETs with a high breakdown voltage and suggest a possible model for the device off-state breakdown. It is found that the device breakdown exhibits different gate voltage dependence for different surface treatments before the gate dielectric deposition. The device performance is greatly improved by using an in-situ surface plasma treatment. The improved device performance is explained by a reduction of traps at the Al <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> O <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</inf> /GaN interface, which finally leads to a reduction in the amount of trapped positive charges and associated with that a reduction of the effective electric field across the gate dielectric when the device is in off-state. Several experimental results support this hypothesis: (1) The recoverable negative threshold voltage shift after reverse gate bias depends on the interface clean before gate dielectric deposition, (2) The reverse bias gate dielectric breakdown voltage is improved by this interface plasma treatment, although the forward bias gate dielectric breakdown voltage is identical.
Planning models for software reliability and cost (1998)

This paper presents modeling frameworks for distributing development effort among software components to facilitate cost-effective progress toward a system reliability goal. Emphasis on components means that the frameworks can be used, for example, in cleanroom processes and to set certification criteria. The approach, based on reliability allocation, uses the operational profile to quantify the usage environment and a utilization matrix to link usage with system structure. Two approaches for reliability and cost planning are introduced: Reliability-Constrained Cost-Minimization (RCCM) and Budget-Constrained Reliability-Maximization (BCRM). Efficient solutions are presented corresponding to three general functions for measuring cost-to-attain failure intensity. One of the functions is shown to be a generalization of the basic COCOMO form. Planning within budget, adaptation for other cost functions and validation issues are also discussed. Analysis capabilities are illustrated using a software system consisting of 26 developed modules and one procured module. The example also illustrates how to specify a reliability certification level, and minimum purchase price, for the procured module.
Tectonics and volcanism on Mars: a compared remote sensing analysis with earthly geostructures (1999)

The recent knowledge on Mars' lithosphere evolution does not find yet sufficient analogies with the Earth's tectonic models. The Viking image analysis seems to be even now frequently, rather fragmentary, and do not permits to express any coherent relationships among the different detected phenomena. Therefore, today it is impossible to support any reliable kinematic hypothesis. The Remote-Sensing interpretation is addressed to a Viking image mosaic of the known Tharsis Montes region and particularly focused on the Arsia Mons volcano. Several previously unknown lineaments, not directly linked to volcano-tectonics, were detected. Their mutual relationships recall transcurrent kinematics that could be related to similar geostructural models known in the Earth plate tectonic dynamics. Several concordant relationships between the Arsia Mons volcano and the brittle extensive tectonic features of earthly Etnean district (Sicily, South Italy), interpreted on Landsat TM images, were pointed out. These analogies coupled with the recently confirmed strato- volcano topology of Tharsis Montes (Head and Wilson), the layout distribution of the effusive centers (Arsia, Pavonis and Ascraeus Montes), the new tectonic lineaments and the morphological features, suggest the hypothesis of a plate tectonic volcanic region. The frame could be an example in agreement with the most recent interpretation of Mars (Sleep). A buried circular body, previously incorrectly interpreted as a great landslide event from the western slope of Arsia Mons volcano, seems really to be a more ancient volcanic structure (Arsia Mons Senilis), which location is in evident relation with the interpreted new transcurrent tectonic system.
Identification of a tyrosinasse from a periphytic marine bacterium (1990)

an, crosinases ( mases that y a cresola
Reduced SNP Panels for Genetic Identification and Introgression Analysis in the Dark Honey Bee (Apis mellifera mellifera) (2015)

Beekeeping activities, especially queen trading, have shaped the distribution of honey bee (Apis mellifera) subspecies in Europe, and have resulted in extensive introductions of two eastern European C-lineage subspecies (A. m. ligustica and A. m. carnica) into the native range of the M-lineage A. m. mellifera subspecies in Western Europe. As a consequence, replacement and gene flow between native and commercial populations have occurred at varying levels across western European populations. Genetic identification and introgression analysis using molecular markers is an important tool for management and conservation of honey bee subspecies. Previous studies have monitored introgression by using microsatellite, PCR-RFLP markers and most recently, high density assays using single nucleotide polymorphism (SNP) markers. While the latter are almost prohibitively expensive, the information gained to date can be exploited to create a reduced panel containing the most ancestry-informative markers (AIMs) for those purposes with very little loss of information. The objective of this study was to design reduced panels of AIMs to verify the origin of A. m. mellifera individuals and to provide accurate estimates of the level of C-lineage introgression into their genome. The discriminant power of the SNPs using a variety of metrics and approaches including the Weir & Cockerham's FST, an FST-based outlier test, Delta, informativeness (In), and PCA was evaluated. This study shows that reduced AIMs panels assign individuals to the correct origin and calculates the admixture level with a high degree of accuracy. These panels provide an essential tool in Europe for genetic stock identification and estimation of admixture levels which can assist management strategies and monitor honey bee conservation programs.
La perte de PRC2 confère une létalité synthétique et une option thérapeutique dans la leucémie aiguë lymphoblastique T (2022)

La leucémie aiguë lymphoblastique T constitue une entité hautement hétérogène et agressive au sein des hémopathies malignes, marquée par un pronostic sombre, notamment pour les cas réfractaires ou en rechute. Leurs processus oncogéniques multiples et complexes rendent difficile l’identification de thérapies ciblées efficaces pour l’ensemble des patients. Les formes les plus immatures de la maladie comportent fréquemment des altérations de régulateurs épigénétiques qui permettent d’identifier des patients de mauvais pronostic et éligibles au traitement par agents hypométhylants. En outre, nos travaux récents révèlent que la perte de fonction du complexe polycomb PRC2 (pour polycomb repressive complex 2) s’accompagne d’un profond remodelage du paysage épigénétique des blastes et confère une létalité synthétique au ciblage des protéines à bromodomaine. À l’ère de la médecine personnalisée, la compréhension des dérégulations épigénétiques dans les leucémies permet d’élaborer de nouvelles thérapies ciblées efficaces pour les patients.
Zero-Shot Ingredient Recognition by Multi-Relational Graph Convolutional Network (2020)

Recognizing ingredients for a given dish image is at the core of automatic dietary assessment, attracting increasing attention from both industry and academia. Nevertheless, the task is challenging due to the difficulty of collecting and labeling sufficient training data. On one hand, there are hundred thousands of food ingredients in the world, ranging from the common to rare. Collecting training samples for all of the ingredient categories is difficult. On the other hand, as the ingredient appearances exhibit huge visual variance during the food preparation, it requires to collect the training samples under different cooking and cutting methods for robust recognition. Since obtaining sufficient fully annotated training data is not easy, a more practical way of scaling up the recognition is to develop models that are capable of recognizing unseen ingredients. Therefore, in this paper, we target the problem of ingredient recognition with zero training samples. More specifically, we introduce multi-relational GCN (graph convolutional network) that integrates ingredient hierarchy, attribute as well as co-occurrence for zero-shot ingredient recognition. Extensive experiments on both Chinese and Japanese food datasets are performed to demonstrate the superior performance of multi-relational GCN and shed light on zero-shot ingredients recognition.
JunD mediates androgen‐induced oxidative stress in androgen dependent LNCaP human prostate cancer cells (2008)

Based on these data, we conclude that JunD is an essential mediator of the androgen-induced increase in ROS levels in LNCaP cells.
Demonstration of an intracellular copper-binding protein by orcein staining in long-standing cholestatic liver diseases. (1976)

Liver biopsies from eight patients with primary biliary cirrhosis, two with chronic active hepatitis of a cholestatic form, three with long-standing alcoholic liver cirrhosis, and one with extrahepatic biliary obstruction were studied. In each case dark brown cytoplasmic material was seen after staining of the tissue sections with Shikata's orcein method. In exactly the same cellular and subcellular locations as the orcein-positive material, and with morphologically equal granules, two different ordinary staining methods for copper (rubeanic acid and Mallory-Parker's haematoxylin) gave positive reactions. The earlier histochemical findings have revealed the protein nature and high sulphydryl content of the orcein-positive material. Its close association with copper in liver sections suggests its copper-binding nature and indicates that a common copper-protein complex accumulates in the cytoplasm of liver cells during longstanding cholestasis in biliary diseases of various pathogenetic origin.
Incidence of Primary Blast Injury in US Military Overseas Contingency Operations (2010)

Injury severity and incidence of primary blast injury increased during the 4-year period, whereas return-to-duty rates decreased. Despite increasingly devastating injuries, the mortality rate due to explosion injuries remained low and unchanged.
Activation-induced cytidine deaminase shuttles between nucleus and cytoplasm like apolipoprotein B mRNA editing catalytic polypeptide 1 (2004)

Activation-induced cytidine deaminase (AID) is a molecule central to initiating class switch recombination, somatic hypermutation, and gene conversion of Ig genes. However, its mechanism to initiate these genetic alterations is still unclear. AID can convert cytosine to uracil on either mRNA or DNA and is involved in DNA cleavage. Although these events are expected to take place in the nucleus, overexpressed AID was found predominantly in the cytoplasm. Here, we demonstrated that AID is a nucleocytoplasmic shuttling protein with a bipartite nuclear localization signal and a nuclear export signal in its N and C termini, respectively. In addition to previously identified genetic, structural, and biochemical similarities of AID with apolipoprotein B mRNA editing catalytic polypeptide 1, an RNA editing enzyme of ApoB100 mRNA, the present finding provides another aspect to their resemblance, suggesting that both may have homologous reaction mechanisms.
QUANTITATIVE PCR ANALYSIS OF CYTOKINE TRANSCRIPTION PATTERNS IN PERIPHERAL MONONUCLEAR CELLS AFTER ANTI-CD3 REJECTION THERAPY USING TWO NOVEL MULTISPECIFIC COMPETITOR FRAGMENTS1 (1994)

Wee, Siewlin; Stroka, Deborah M.; D'Souza, Gloria; Fuller, Thomas C.; Fitzpatrick, Donna M.; Cosimi, A. Benedict Author Information
LTE/LTE-A Random Access for Massive Machine-Type Communications in Smart\n Cities (2016)

Massive Machine-Type Communications (MTC) over cellular networks is expected\nto be an integral part of wireless "Smart City" applications. The Long Term\nEvolution (LTE)/LTE-Advanced (LTE-A) technology is a major candidate for\nprovisioning of MTC applications. However, due to the diverse characteristics\nof payload size, transmission periodicity, power efficiency, and quality of\nservice (QoS) requirement, MTC poses huge challenges to LTE/LTE-A technologies.\nIn particular, efficient management of massive random access is one of the most\ncritical challenges. In case of massive random access attempts, the probability\nof preamble collision drastically increases, thus the performance of LTE/LTE-A\nrandom access degrades sharply. In this context, this article reviews the\ncurrent state-of-the-art proposals to control massive random access of MTC\ndevices in LTE/LTE-A networks. The proposals are compared in terms of five\nmajor metrics, namely, access delay, access success rate, power efficiency, QoS\nguarantee, and the effect on Human-Type Communications (HTC). To this end, we\npropose a novel collision resolution random access model for massive MTC over\nLTE/LTE-A. Our proposed model basically resolves the preamble collisions\ninstead of avoidance, and targets to manage massive and bursty access attempts.\nSimulations of our proposed model show huge improvements in random access\nsuccess rate compared to the standard slotted-Aloha-based models. The new model\ncan also coexist with existing LTE/LTE-A Medium Access Control (MAC) protocol,\nand ensure high reliability and time-efficient network access.\n
Comparison of Ground and Laser Machined Polycrystalline Diamond (PCD) Tools in Cutting Carbon Fiber Reinforced Plastics (CFRP) for Aircraft Structures (2012)

The extended use of carbon reinforced plastics (CFRP), especially in aircraft industries, requires efficient machining solutions due to superior mechanical properties with a lower weight compared to metals. This material is highly abrasive, requiring very hard cutting materials and additionally only a sharp cutting edge provides a sufficient surface quality on the workpiece. Ultrashort laser pulses and the focusability of high brilliance laser systems enable diamond processing without relevant graphitization or other material deteriorating effects for polycrystalline diamond (PCD). This study focuses on a comparison of conventional and laser machined PCD cutting tool inserts and a characterization of their machining characteristics. Conventional processing of the PCD tools is done using grinding processes on five axis machining centers. Laser manufacturing is done using a five axis CNC machine with additional three axes for beam delivery. Comparable values in terms of surface roughness on flank and rake face as well as edge curvature radii are achieved. The comparison of machining characteristics is done machining CFRP in a continuous turning process with a single fiber orientation at cutting velocities of 200 m/min. Machining forces and the cutting edge radii are measured to evaluate tool wear. The resulting work piece quality is analyzed by measuring surface roughness and integrity using tactile surface roughness measurement (Taylor Hobson PGI 1240) and scanning electron microscopy (SEM).
Graphical treatment simulation and automated collision detection for conformal and stereotactic radiotherapy treatment planning (2001)

The purpose of this work is to develop a "room's eye view" graphical simulation program with an automated collision detection option, to assist a treatment planning user to visualize the treatment setup checking at the same time the feasibility of his plan. The program simulates the treatment process using accurate three-dimensional graphical models of the gantry, table, and that of an average patient. This allows the use of any mechanical movement concerning the radiotherapy unit. The simulation of the mechanical movements and their limitations are according to IEC standards and thus compatible with any radiotherapy machine. Graphical methods for collision detection between the models guarantee speed and accuracy. The module simulates the treatment setup with accuracy better than 2 degrees for any tested case. When a collision takes place a warning message is displayed. In this paper a software tool is developed that can be used as a stand-alone program or embedded in any treatment planning system. The visualization of the treatment fields prior to treatment permits the geometric feasibility of the plan, thus adding one more step toward the automation of the treatment process.
Chemistry of insect antifeedants from Azadirachta indica, Part 14: absolute configuration of azadirachtin (1992)

S. V. Ley, H. Lovell and D. J. Williams, J. Chem. Soc., Chem. Commun., 1992, 1304 DOI: 10.1039/C39920001304
Pemphigus Vulgaris and Pregnancy (1995)

Pemphigus vulgaris (PV), an autoimmune bullous dermatosis, is rarely encountered in pregnancy. Two women with PV and their three pregnancies are described. Pregnancy outcome was generally good, although one of the neonates had characteristic PV skin lesions that resolved spontaneously. The pathophysiology, clinical manifestations, and special issues of PV pertaining to pregnancy are discussed. With our cases added, there are now 23 reports in the English literature on PV in pregnancy. From these data it seems that transient skin lesions may occasionally appear in the neonate regardless of the severity of maternal disease. Such lesions are due to passive transplacental transfer of PV antibodies and do not have long-lasting clinical implication. On the other hand, and contrary to past traditional thinking, PV may be associated with poor neonatal outcome including prematurity and fetal death. Such complications seem to be restricted to pregnancies with clinically severe PV.
Default Mode of Brain Function in Monkeys (2011)

Human neuroimaging has revealed a specific network of brain regions-the default-mode network (DMN)-that reduces its activity during goal-directed behavior. So far, evidence for a similar network in monkeys is mainly indirect, since, except for one positron emission tomography study, it is all based on functional connectivity analysis rather than activity increases during passive task states. Here, we tested whether a consistent DMN exists in monkeys using its defining property. We performed a meta-analysis of functional magnetic resonance imaging data collected in 10 awake monkeys to reveal areas in which activity consistently decreases when task demands shift from passive tasks to externally oriented processing. We observed task-related spatially specific deactivations across 15 experiments, implying in the monkey a functional equivalent of the human DMN. We revealed by resting-state connectivity that prefrontal and medial parietal regions, including areas 9/46d and 31, respectively, constitute the DMN core, being functionally connected to all other DMN areas. We also detected two distinct subsystems composed of DMN areas with stronger functional connections between each other. These clusters included areas 24/32, 8b, and TPOC and areas 23, v23, and PGm, respectively. Such a pattern of functional connectivity largely fits, but is not completely consistent with anatomical tract tracing data in monkeys. Also, analysis of afferent and efferent connections between DMN areas suggests a multisynaptic network structure. Like humans, monkeys increase activity during passive epochs in heteromodal and limbic association regions, suggesting that they also default to internal modes of processing when not actively interacting with the environment.