gebhart/patrepeval huggingface dataset:
Compression and shear wave propagation in cemented-sand specimens (2011)

Ultrasonic and bender element tests in the laboratory are typically used to measure elastic modulus and damping ratio. However, interpretation of the results is challenging for a variety of reasons, including the influence of experimental details, geometrical effects and the analytical techniques used for data processing. It is therefore convenient to cross-check results by performing several independent measurements. Three different types of measurements were performed on cemented-sand specimens. Longitudinal waves or constrained compressional waves in a cylindrical specimen were generated in a high-frequency range (20–70 kHz) using a newly designed transducer interface. Full dynamic characterisation was made possible by independent measurement of the transducer response. Pure unconstrained compressional waves or simply compression waves were measured in the same specimens with high-frequency transducers. The shear modulus was computed and used to predict the arrival of shear waves on independent bender element measurements. The predicted arrival was close to first-break estimates, and bender measurements were therefore confidently employed to track cement curing effects on a different set of specimens. The specimen frequency response function obtained from the longitudinal wave measurements was examined in detail and damping ratios were estimated for the compression vibration modes in a rod.
Identification of the LH surge by measuring intact and total immunoreactivity in urine for prediction of ovulation time (2022)

Total and non-intact LH-ir are potential add-on characteristics which can be utilized in ovulation predictor kits to measure LH-ir in urine beyond the LH surge during a broader time frame, thereby paving the way for more precise prediction of the timing of ovulation than that obtained with currently available products.
Glutathione S-transferases (GSTT1 and GSTM1) gene deletions in Tunisians: susceptibility and prognostic implications in breast carcinoma (2003)

Glutathione S-transferase Theta1 and Mu1 (GSTT1 and GSTM1) are involved in the metabolism and detoxification of a wide range of potential environmental carcinogens. Conversely, they contribute to tumour cell survival by detoxification of numerous products induced by cancer therapy. The authors designed a large study to investigate the susceptibility and prognostic implications of the GSTT1 and GSTM1 gene deletions in breast carcinoma. The authors used the polymerase chain reaction to characterise the variation of the GSTT1 and GSTM1 genes in 309 unrelated Tunisian patients with breast carcinoma and 242 healthy control subjects. Associations of the clinic-pathologic parameters and the genetic markers with the rates of the breast carcinoma specific overall survival (OVS) and the disease-free survival (DFS) were assessed using univariate and multivariate analyses. A significant association was found between gene deletion of GSTT1 and the risk of early onset of breast carcinoma (OR=1.60, P=0.02). The lack of GSTT1 gene deletion was significantly associated with poor clinical response to chemotherapy (OR=2.29, P=0.03). This association was significantly higher in patients with axillary's lymph node-negative breast carcinoma (OR=12.60, P=0.005). The null-GSTT1 genotype showed a significant association with increased DFS in this selected population of patients. This association was even higher in patients carrying both null-GSTT1 and -GSTM1 genotypes. The gene deletion of GSTs may predict not only the early onset of breast carcinoma but also the clinical response to chemotherapy and the recurrence-free survival for patients with lymph node-negative breast carcinoma.
Genetic Evidence for a Neurovestibular Influence on the Mammalian Circadian Pacemaker (2006)

The mammalian circadian timing system (CTS) exerts endogenous temporal control over virtually every biochemical, physiological, and neurobiological process. Recent studies have suggested an interrelationship between the neurovestibular system, specifically the macular otoconial gravity receptors, and the CTS. To test for a functional relationship between these 2 seemingly disparate neuronal systems, the authors performed a study to evaluate the influence of the vestibular system on 3 fundamental properties of the CTS: entrainment, photic modulation, and period. The present study used a nonrecombinant mutant mouse, the head-tilt mouse (abbr. het), which lacks otoconia and hence gravity reception, to evaluate CTS function in mice lacking vestibular inputs. Circadian rhythms of body temperature (Tb) and locomotor activity (ACT) were recorded continuously by biotelemetry in het mice as well as wild-type (PWT) controls during exposure to 4 photic regimens: 12:12 LD, DD (0 micromoles s(-1) m(-2)), constant bright light (LL(B); 0.5 micromoles s(-1) m(-2)), and constant dim light (LL(D); 0.02 micromoles s(-1) m(-2)). In DD, the circadian period of the Tb and ACT rhythms was significantly longer (p < 0.001) in het than in PWT mice. In addition, the circadian period of Tb and ACT was significantly longer (p < 0.01) in LL(B) than in DD for both the het and PWT groups, although increasing ambient illuminance (i.e., DD to LL(B)) had a significantly greater (p < 0.01) period-lengthening effect in the PWT group than in the het group. The results of the present study demonstrate for the first time that the vestibular macular gravity receptors influence 2 fundamental properties of the mammalian CTS: (1) the intrinsic circadian pacemaker period and (2) the period-altering response to changes in tonic light intensity. The results of the present study thus provide the first neurobehavioral evidence for a vestibular-circadian interrelationship as well as suggest a novel mechanism underlying the signaling of activity-based nonphotic stimuli to the CTS.
FVTD large time-step method using Radon Transform (2020)

A new approach is examined to extend the large time-step (LTS) method, in an FVTD framework, to multiple dimensions using the intertwining property of Radon transform instead of conventional splitting methods. This algorithm is shown to be unconditionally stable, unconstrained by limitations dictated by the CFL criterion for regular finite-volume time-domain methods.
The Guanine - Nucleotide Binding Proteins: Common Structural And Functional Properties (2013)

This volume contains the proceedings of the EMBO-NATO-CEC Advanced Research Workshop on Guanine-nucleotide binding proteins. Common structural and functional which was held in Renesse, The Netherlands, August 6-11, 1988. The transmission of information is one of the most important processes in cellular life and involves the most diverse physiological functions. The cellular membrane, as the obligatory target for external signals, harbours complex pathways transducing the signals from the receptors of the external stimuli to the cytoplasmic effector. Heterotrimeric proteins are fundamental components of these pathways. Other proteins that are monomeric may be found associated with the membrane or in soluble form in the cytoplasm, and' can also function in signal transduction. Intracellular transmission of signals may proceed in an analogous fashion, protein synthesis being a well-known example. It is one of the most remarkable and puzzling observations of recent years that all of these proteins share common properties, both functionally and structurally. The ir primary structures show pronounced s imilari ties, in most cases concentrated in the NH2-terminal portion of the molecule. They all bind guanine nucleotides (hence the general name of G-proteins) and are GTPases, a crucial enzymatic activity, since it converts the active complex induced by GTP into the inactive one induced by GDP. Consensus sequences have been ident if ied as responsable for interact ing with the different parts of the guanine nucleotide.
Evolution of tumor cells during AsiDNA treatment results in energy exhaustion, decrease in responsiveness to signal, and higher sensitivity to the drug (2020)

It is increasingly suggested that ecological and evolutionary sciences could inspire novel therapies against cancer but medical evidence of this remains scarce at the moment. The Achilles heel of conventional and targeted anticancer treatments is intrinsic or acquired resistance following Darwinian selection; that is, treatment toxicity places the surviving cells under intense evolutionary selective pressure to develop resistance. Here, we review a set of data that demonstrate that Darwinian principles derived from the "smoke detector" principle can instead drive the evolution of malignant cells toward a different trajectory. Specifically, long-term exposure of cancer cells to a strong alarm signal, generated by the DNA repair inhibitor AsiDNA, induces a stable new state characterized by a down-regulation of the targeted pathways and does not generate resistant clones. This property is due to the original mechanism of action of AsiDNA, which acts by overactivating a "false" signaling of DNA damage through DNA-PK and PARP enzymes, and is not observed with classical DNA repair inhibitors such as the PARP inhibitors. Long-term treatment with AsiDNA induces a new "alarm down" state in the tumor cells with decrease in NAD level and reactiveness to it. These results suggest that agonist drugs such as AsiDNA could promote a state-dependent tumor cell evolution by lowering their ability to respond to high "danger" signal. This analysis provides a compelling argument that evolutionary ecology could help drug design development in overcoming fundamental limitation of novel therapies against cancer due to the modification of the targeted tumor cell population during treatment.
A communication strategy for cooperative robots (2002)

In this paper, we present a new language of communication between cooperative mobile robots. Generally, in order to interact they must exchange various information. In mobile robotics, communication can generally only be performed using HF channel. Originally, our language and protocol are designed to carry out safe communication between several ICAR agents (intelligent cooperative autonomous robots), but they can be used to perform another type of communication. We consider mobile robots which must be able to achieve some tasks given by another one, or a supervisor. We are developing a dynamically extendable (i.e. while robots are performing their missions) language which supports nine conversation types and works with twenty six message types. Because of communications nature (radio link), we use macro messages to reduce network congestion.
Converging Evidence for the Association of Functional Genetic Variation in the Serotonin Receptor 2a Gene With Prefrontal Function and Olanzapine Treatment (2013)

Our results suggest that HTR2A rs6314 affects 5-HT2AR expression and functionally contributes to genetic modulation of known endophenotypes of schizophrenia-like higher-level cognitive behaviors and related prefrontal activity, as well as response to treatment with olanzapine.
Real-Time Mach: Towards a Predictable Real-Time System. (1990)

Distributed real-time systems play a very important role in our modern society. They are used in aircraft control, communication systems, military command and control systems, factory automation, and robotics. However, satisfying the rigid timing requirements of various real-time activities in distributed real-time systems often requires ad hoc methods to tune the system&amp;apos;s runtime behavior The objective of Real-Time Mach is to develop a real-time version of the Mach kernel which provides users with a predictable and reliable distributed real-time computing environment. In this paper, we describe a real-time thread model, real-time synchronization, and the ITDS scheduler in RealTime Mach. We also discuss the implementation issues, a real-time toolset, and the current status of the system. 1 Introduction Distributed real-time systems are becoming more common as real-time technology is applied to many real-time applications[20]. However, satisfying the rigid timing requirements of variou...
Immunohistochemical distribution and partial characterization of FLFQPQRFamidelike peptides in the central nervous system of rats (1989)

Two peptides that are structurally related to the molluscan tetrapeptide Phe-Met-Arg-Phe-NH2 (FMRF-NH2) were recently isolated from bovine brain extract (Yang et al.: Proc. Natl. Acad. Sci. USA 82:7757-7761, '85). These peptides have an attenuating effect on morphine-induced analgesia when injected intracerebroventricularly in rats. Antisera against the two peptides--an octapeptide, Phe-Leu-Phe-Gln-Pro-Gln-Arg-Phe-NH2 (F8F-NH2), and an octadecapeptide, Ala-Gly-Glu-Gly-Leu-Ser-Ser-Pro-Phe-Trp-Ser-Leu-Ala-Ala-Pro-Gln-Arg-Phe- NH2 (A18F-NH2)--were raised in rabbits and characterized with standard radioimmunoassay and immunohistochemical blocking controls. This study was aimed at localizing neurons in the rat brain that contain immunoreactivity for these peptides. Cryostat sections of normal and colchicine-treated Sprague-Dawley rat brains were incubated with the specific antisera and the immunoreactivity was visualized by the PAP or the FITC method. Immunoreactive neurons were detected in the hypothalamus and nucleus of the solitary tract. Relatively dense networks of fibers and terminals were observed in the lateral parabrachial nucleus and in the nucleus of the solitary tract. Fibers and terminals were also seen in the lateral septum, amygdala, hypothalamus, neurohypophysis, thalamus, periaqueductal gray, and several medullary nuclei. In these areas the immunoreactivity was abolished when the antisera were incubated with the corresponding synthetic peptides F8F-NH2 and A18F-NH2. Preincubation of the antisera with neuropeptide Y (NPY) did not affect the staining. The results suggest that there are neurons in the rat brain that contain F8F-NH2- and A18F-NH2-like peptides. The neuronal system described here may have a role in the regulation of autonomic functions, such as hypothalamic control and respiratory functions. The neuronal connections of the cells containing F8F-NH2- and A18F-NH2-like peptides remain to be studied.
What can Computer Graphics expect from 3D Computer Vision? (2007)

Abstract Computer Vision is a discipline whose ultimate goal is to interpret optical images of real scenes. It is well understood that such a problem is cursed by ambiguity of interpretation and uncertainty of evidence. Despite imperfectness of results due to the scenes never following our prior models exactly, Computer Vision has achieved a significant progress in the past two decades. This talk will outline the quest of 3D Computer Vision by describing a processing pipeline that receives a heap of unorganized images from unknown cameras and produces a consistent 3D geometric model together with camera calibrations. We will see how new algorithms allow the standard conception of the pipeline as a series of independent processing steps gradually transform to a single complex, yet efficient vision task. We will identify some points where linking Computer Vision and Computer Graphics would bring significant progress.
Ideology, Prejudice, and Assimilation (2003)

Abstract This chapter discusses attitudes towards ethnicity and cultural assimilation in medieval England following its conquest by Normandy, arguing that there was a loose bias towards ethnic concord and assimilation. There were also several ideological factors that indirectly supported the trend toward amity and unification. None of these attitudes were strongly held, and the effects of some ideologies were limited precisely because they were indirect. Equally important, however, there was also no ideology of ethnic purity or exclusion, despite the strong pre-conquest identities of both Normans and English. Yet there can be no doubt that the Norman kings and the invaders practised what is known as discrimination along ethnic lines in their restructuring of the secular elites and in their ecclesiastical appointments. This chapter examines the roots of this obvious and established prejudice and how it can be reconciled with the apparent swiftness and ease of assimilation.
Extended Depth-of-Field Projector by Fast Focal Sweep Projection (2015)

A simple and cost-efficient method for extending a projector's depth-of-field (DOF) is proposed. By leveraging liquid lens technology, we can periodically modulate the focal length of a projector at a frequency that is higher than the critical flicker fusion (CFF) frequency. Fast periodic focal length modulation results in forward and backward sweeping of focusing distance. Fast focal sweep projection makes the point spread function (PSF) of each projected pixel integrated over a sweep period (IPSF; integrated PSF) nearly invariant to the distance from the projector to the projection surface as long as it is positioned within sweep range. This modulation is not perceivable by human observers. Once we compensate projection images for the IPSF, the projected results can be focused at any point within the range. Consequently, the proposed method requires only a single offline PSF measurement; thus, it is an open-loop process. We have proved the approximate invariance of the projector's IPSF both numerically and experimentally. Through experiments using a prototype system, we have confirmed that the image quality of the proposed method is superior to that of normal projection with fixed focal length. In addition, we demonstrate that a structured light pattern projection technique using the proposed method can measure the shape of an object with large depth variances more accurately than normal projection techniques.
A variant of estrogen receptor-α, hER-α36: Transduction of estrogen- and antiestrogen-dependent membrane-initiated mitogenic signaling (2006)

The status of the 66-kDa human estrogen receptor-alpha (hER-alpha66) is a critical determinant in the assessment of the prognosis and in the design of treatment strategies of human breast cancer. Recently, we cloned the cDNA of an alternatively spliced variant of hER-alpha66, termed hER-alpha36; the predicted protein lacks both transcriptional activation domains of hER-alpha66 but retains its DNA-binding domain, partial dimerization, and ligand-binding domains and three potential myristoylation sites located near the N terminus. These findings thus predict that hER-alpha36 functions very differently from hER-alpha66 in response to estrogen signaling. We now demonstrate that hER-alpha36 inhibits the estrogen-dependent and estrogen-independent transactivation activities of hER-alpha66 and hER-beta. We further demonstrate that hER-alpha36 is predominantly associated with the plasma membrane where it transduces both estrogen- and antiestrogen-dependent activation of the mitogen-activated protein kinase/extracellular signal-regulated kinase signaling pathway and stimulates cell growth. We conclude that hER-alpha36 is a predominantly membrane-based, unique alternatively spliced variant of hER-alpha66 that acts as a dominant-negative effector of both estrogen-dependent and estrogen-independent transactivation functions signaled through hER-alpha66 and ER-beta; it also transduces membrane-initiated estrogen-dependent activation of the mitogen-activated protein kinase/extracellular signal-regulated kinase mitogenic signaling pathway. The estrogen and antiestrogen signaling pathways mediated by hER-alpha36 provide an alternative explanation for why some human breast cancers are resistant to and others are worsened by antiestrogen therapy; the data suggest that hER-alpha36 also may be an important marker to direct therapy in human breast cancers, and perhaps hER-alpha36 also may transduce estrogen-dependent signaling in other estrogen target tissues.
Energy Efficiency Optimization of 5G Radio Frequency Chain Systems (2016)

With the massive multi-input multi-output (MIMO) antennas technology adopted for the fifth generation (5G) wireless communication systems, a large number of radio frequency (RF) chains have to be employed for RF circuits. However, a large number of RF chains not only increase the cost of RF circuits but also consume additional energy in 5G wireless communication systems. In this paper we investigate energy and cost efficiency optimization solutions for 5G wireless communication systems with a large number of antennas and RF chains. An energy efficiency optimization problem is formulated for 5G wireless communication systems using massive MIMO antennas and millimeter wave technology. Considering the nonconcave feature of the objective function, a suboptimal iterative algorithm, i.e., the energy efficient hybrid precoding (EEHP) algorithm is developed for maximizing the energy efficiency of 5G wireless communication systems. To reduce the cost of RF circuits, the energy efficient hybrid precoding with the minimum number of RF chains (EEHP-MRFC) algorithm is also proposed. Moreover, the critical number of antennas searching (CNAS) and user equipment number optimization (UENO) algorithms are further developed to optimize the energy efficiency of 5G wireless communication systems by the number of transmit antennas and UEs. Compared with the maximum energy efficiency of conventional zero-forcing (ZF) precoding algorithm, numerical results indicate that the maximum energy efficiency of the proposed EEHP and EEHP-MRFC algorithms are improved by 220% and 171%, respectively.
Evaluation of on-board hydrogen storage methods f or high-speed aircraft (1991)

Hydrogen is the fuel of choice for hypersonic vehicles. Its main disadvantage is its low liquid and solid density. This increases the vehicle volume and hence the drag losses during atmospheric flight. In addition, the dry mass of the vehicle is larger due to larger vehicle structure and fuel tankage. Therefore it is very desirable to find a fuel system with smaller fuel storage requirements without deteriorating the vehicle performance substantially. To evaluate various candidate fuel systems, they were first screened thermodynamically with respect to their energy content and cooling capacities. To evaluate the vehicle performance with different fuel systems, a simple computer model is developed to compute the vehicle parameters such as the vehicle volume, dry mass, effective specific impulse, and payload capacity. The results indicate that if the payload capacity (or the gross lift-off mass) is the most important criterion, only slush hydrogen and liquid hydrogen - liquid methane gel shows better performance than the liquid hydrogen vehicle. If all the advantages of a smaller vehicle are considered and a more accurate mass analysis can be performed, other systems using endothermic fuels such as cyclohexane, and some boranes may prove to be worthy of further consideration.