gebhart/patrepeval huggingface dataset:
Active Learning Kriging Model With Adaptive Uniform Design for Time-Dependent Reliability Analysis (2021)

Due to uncertainties and time-varying parameters in design, manufacturing, and commissioning, many structural systems often exhibit uncertain and dynamic properties. These systems need time-dependent reliability analysis to help effectively estimate the safe state during their lifecycle. However, one of the challenging issues in doing so lies in computational efficiency. This paper develops an active learning Kriging technique to improve the computational efficiency of time-dependent reliability analysis. The Kriging model is employed first as a response surface to fit the extreme value response of time-dependent limit state functions. The most probable point of the Kriging response surface is then determined by solving an optimization problem in terms of a cumulative distribution function. Further, an adaptive iterative algorithm is developed to prepare the sampling points for updating the Kriging model based on an adaptive uniform design. Monte Carlo simulations are thus performed to facilitate evaluation using the final generated Kriging response surface. Several case studies are undertaken to test and validate the effectiveness of the proposed method and to demonstrate its applicability to engineering problems.
Multi-sensor aided deep pose tracking (2022)

Accurate pose estimation of nearby objects is critical for robots to dynamically interact with their surroundings. The complexity of this task has led researchers to explore deep learning methods. Nowadays, many works have solely focused on developing complicated neural network architectures to estimate pose from a simple monocular camera. However, most of these methods struggle with inherent limitations of a single sensor system, like occlusion, which are commonly encountered in mobile robotics applications. Online, occlusion-robust pose estimation is extremely important in such cases, as mobility of a robot introduces major uncertainty that complicates manipulation. Hence, we present Multi-Sensor aided Deep Pose Tracking (MS-DPT), a framework for online object pose estimation to enable robust mobile manipulation. A Convolutional Neural Network (CNN) identifies key objects in an RGB-D image, from which object pose estimates are generated using a variant of the Iterative Closest Point (ICP) algorithm. An extended Kalman filter is used to fuse this pose estimate with onboard motion sensors to compensate for occlusion and robot motion during manipulation. This three stage method focuses on cohering different modalities and algorithms to improve the pose tracking stability and continuity in cases where the target object becomes heavily occluded by an obstacle or a mobile robot itself. The proposed approach accurately tracks textureless objects with high symmetries while operating at 10 FPS during experiments.
Stochastic linkage: Effect of random fluctuations on a two-state process (1991)

When the two-state process A⇄B is asymmetrically perturbed by random fluctuations, a unidirectional shift of the equilibrium between the two states is observed. Random fluctuations destabilize the state that is populated nondeterministically by the fluctuating rate. This effect of random fluctuations on the preexisting equilibrium between the two states is analogous to the allosteric regulation of conformational transitions in biological macromolecules induced by ligand binding to one of the two states. The unidirectional effect of random fluctuations of the two-state process A⇄B can be interpreted as a stochastic linkage that couples noise to conformational transitions.
Automated Cell Detection and Morphometry on Growth Plate Images of Mouse Bone (2014)

Microscopy imaging of mouse growth plates is extensively used in biology to understand the effect of specific molecules on various stages of normal bone development and on bone disease. Until now, such image analysis has been conducted by manual detection. In fact, when existing automated detection techniques were applied, morphological variations across the growth plate and heterogeneity of image background color, including the faint presence of cells (chondrocytes) located deeper in tissue away from the image's plane of focus, and lack of cell-specific features, interfered with identification of cell. We propose the first method of automated detection and morphometry applicable to images of cells in the growth plate of long bone. Through ad hoc sequential application of the Retinex method, anisotropic diffusion and thresholding, our new cell detection algorithm (CDA) addresses these challenges on bright-field microscopy images of mouse growth plates. Five parameters, chosen by the user in respect of image characteristics, regulate our CDA. Our results demonstrate effectiveness of the proposed numerical method relative to manual methods. Our CDA confirms previously established results regarding chondrocytes' number, area, orientation, height and shape of normal growth plates. Our CDA also confirms differences previously found between the genetic mutated mouse <i>Smad1/5<sup>CKO</sup></i> and its control mouse on fluorescence images. The CDA aims to aid biomedical research by increasing efficiency and consistency of data collection regarding arrangement and characteristics of chondrocytes. Our results suggest that automated extraction of data from microscopy imaging of growth plates can assist in unlocking information on normal and pathological development, key to the underlying biological mechanisms of bone growth.
Terapeutisk komplementhemming – fra eksperimentell til klinisk medisin (2015)

Internationally, the use of the C5-inhibiting monoclonal antibody eculizumab has in the course of just a few years become the first choice of treatment of atypical haemolytic uraemic syndrome and the most severe phenotypes of paroxysmal nocturnal haemoglobinuria. At present eculizumab is the only complement inhibitor in ordinary clinical use. This despite the fact that there only exists one randomised, placebo-controlled trial of eculizumab for paroxysmal nocturnal haemoglobinuria and none for atypical haemolytic uraemic syndrome, and that the therapy is very costly. There is reason to believe that complement inhibition as therapy will increase in the future, and that other drugs will also prove to be effective.
ACCELERATED CELL DEATH 2 suppresses mitochondrial oxidative bursts and modulates cell death in Arabidopsis (2011)

The Arabidopsis ACCELERATED CELL DEATH 2 (ACD2) protein protects cells from programmed cell death (PCD) caused by endogenous porphyrin-related molecules like red chlorophyll catabolite or exogenous protoporphyrin IX. We previously found that during bacterial infection, ACD2, a chlorophyll breakdown enzyme, localizes to both chloroplasts and mitochondria in leaves. Additionally, acd2 cells show mitochondrial dysfunction. In plants with acd2 and ACD2 (+) sectors, ACD2 functions cell autonomously, implicating a pro-death ACD2 substrate as being cell non-autonomous in promoting the spread of PCD. ACD2 targeted solely to mitochondria can reduce the accumulation of an ACD2 substrate that originates in chloroplasts, indicating that ACD2 substrate molecules are likely to be mobile within cells. Two different light-dependent reactive oxygen bursts in mitochondria play prominent and causal roles in the acd2 PCD phenotype. Finally, ACD2 can complement acd2 when targeted to mitochondria or chloroplasts, respectively, as long as it is catalytically active: the ability to bind substrate is not sufficient for ACD2 to function in vitro or in vivo. Together, the data suggest that ACD2 localizes dynamically during infection to protect cells from pro-death mobile substrate molecules, some of which may originate in chloroplasts, but have major effects on mitochondria.
Public ICT access and use for people with disabilities (PWDs): a pilot study of public inclusive design (2023)

The access and use of the Internet in public spaces is becoming more extensive, and increasingly regarded as a transitional stage to achieving the ultimate goal of private internet access for all citizens (Viseu et al., 2006). Internet in public spaces does not only narrow the digital divide and promote digital inclusion, but is also a basic requirement for the realization of the information society. However, there may still be inequal access to information and communication technologies (ICT), especially for people with disabilities (PWDs), that has been widely overlooked. This ‘digital disability divide’ (Dobransky and Hargittai, 2006; Sachdeva et al., 2015) is widely acknowledged as affecting the equal participation of PWDs in society, hindering the construction of an inclusive society. The current academic literature related to digital inequality has focused on internet access and use of a diverse population segment, but there is deficient research on the ‘digital disability divide’, especially focusing on public ICT facilities. In order to bridge this gap and promote social inclusion, this paper takes the social model of disabilities as an objective group, exploring the public disabilities inequality theories and exclusive phenomenon through a deep literature review and onsite observation. This paper summarizes the four forms of public interactive behaviours of PWDs based on the four elements of ICT engaging with the public space from Abdel-Aziz et al. (2016). Also, a framework of public digital disability barriers that correspond with the ICT elements in public spaces has been proposed. By applying inclusive design thinking and principles, this paper identifies the deficiencies in design of existing ICT facilities. This paper also identifies and discusses key directions for improving digital disabilities inclusion in public spaces from a design policy and practical perspective. Suggestions for further study directions are also offered.
The PPP NetBIOS Frames Control Protocol (NBFCP) (1997)

This document defines the Network Control Protocol for establishing
and configuring the NBF protocol over PPP. The NBFCP protocol is only
applicable for an end system to connect to a peer system or the LAN
that peer system is connected to. [STANDARDS-TRACK]
Simulation de la filtration frontale de suspensions colloïdales (2007)

Les procédés de filtration par membrane se sont beaucoup développés ces dernières années, notamment dans la production d’eau potable. Leur principale limitation dans ce secteur d’activité réside dans le colmatage, c'est-à-dire l’accumulation de matière à la surface de la membrane. Un des enjeux dans ce domaine est de pouvoir proposer des outils prédictifs de façon à anticiper la conduite des procédés.&#13;\nDans ce cadre, une étude théorique et expérimentale est menée de façon à décrire l’accumulation de matière lors de filtrations frontales menées à flux constant. Lors de cette simulation transitoire, la pression osmotique est utilisée pour décrire le comportement spécifique des colloïdes dans toute la gamme de concentration rencontrée au cours de la filtration – depuis une phase dispersée jusqu’à la formation et la croissance d’un dépôt-. Si les simulations s’avèrent extrêmement sensibles à la taille des particules considérées, elles permettent cependant une bonne description qualitative et quantitative de l’accumulation de matière en mode frontal et de ses conséquences directe sur l’opération de filtration.
Figure S4 from Unbiased Metabolic Profiling Predicts Sensitivity of High MYC-Expressing Atypical Teratoid/Rhabdoid Tumors to Glutamine Inhibition with 6-Diazo-5-Oxo-L-Norleucine (2023)

&lt;p&gt;Weight of mice throguhout in vivo treatments&lt;/p&gt;
Epstein-Barr Virus BZLF1-Mediated Downregulation of Proinflammatory Factors Is Essential for Optimal Lytic Viral Replication (2015)

The proinflammatory response is an antiviral and anticancer strategy following the complex inflammatory phenotype. Latent Epstein-Barr virus (EBV) infection strongly correlates with an elevated secretion of inflammatory factors in a variety of severe diseases, while the inflammatory responses during the lytic EBV cycle have not been established. Here, we demonstrate that BZLF1 acts as a transcriptional suppressor of the inflammatory factors TNF-α and IFN-γ and confirm that BZLF1-facilitated escape from the TNF-α and IFN-γ response during the EBV lytic life cycle is required for optimal viral replication. This finding implies that the EBV lytic cycle employs a distinct strategy to evade the antiviral inflammatory response.
Effect of (+)Cyanidanol-3 on Cellular Immune Reactions and on Superoxide Dismutase Activityin vitro (1987)

Immudological and antioxidant effects of the widely used hepatoprotective agent (+)cyanidanol-3 were studied in a complex in vitro test system using isolated peripheral blood lymphocytes of patients with chronic alcoholic liver disease and of healthy donors. In both groups in vitro treatment with (+)cyanidanol-3 inhibited lectin-induced lymphocyte blast transformation and chemiluminescence in a dose-dependent fashion and increased the superoxide dismutase-expression of lymphocytes without influencing the percentage of T and active T cells and antibody-dependent and spontaneous lymphocytotoxicity. The originally lower Con A-induced T cell mediated lymphocytotoxicity of patients was completely abolished, while no significant effect was seen using healthy donors' lymphocytes. (+)cyanidanol-3 markedly decreased the Con A-induced suppressor activity of patients' lymphocytes, without influencing that of normal cells. These results suggest that both antioxidant and immunomodulatory effects play an important role in the mechanism of action of (+)cyanidanol-3.
Layer 2.5 SoftMAC: end-system based media streaming support on home networks (2005)

The requirements of multimedia streaming challenge the QoS (quality of service) capability on home networks, where typical construction is a hybrid Ethernet and WLAN (wireless LAN). This paper proposes a novel software solution, called layer 2.5 SoftMAC, to provide QoS on home network using commercial IEEE 802.11 wireless and Ethernet hardware. SoftMAC resides between 802.11/ Ethernet MAC layer and IP layer to coordinate the real-time (RT) and best-effort (BE) packets transmission among end-devices in home networks, i.e., no modification to wireless AP (access point) or Ethernet switch. To effectively support media streaming, it employs three key components: 1) admission control (AC) for regulating the load of RT traffic, 2) rate control (RC) that minimizes the impact of BE traffic on RT traffic, and 3) non-preemptive priority queueing (PQ) to provide high priority service to RT traffic. To evaluate the efficacy of SoftMAC, we conduct extensive simulations using the network simulator NS2. We also implement our proposed SoftMAC as a Windows network driver interface specification (NDIS) driver over network interface card (NIC) driver, and build a testbed to emulate hybrid home environment with 802.11 a/g and 100M Ethernet to test its performance on real system. Our evaluation and testing results demonstrate the effectiveness of SoftMAC.
Atrial natriuretic polypeptide in bovine adrenal medulla. (1988)

Two radioimmunoassays for alpha-human atrial natriuretic polypeptide (alpha-hANP) with different specificities were used to study the tissue level and the nature of alpha-hANP-like immunoreactivity in the bovine adrenal gland. A considerable amount of alpha-hANP-like immunoreactivity was detected in the adrenal medulla (90.8 +/- 21.1 and 90.0 +/- 23.1 ng/g with the two radioimmunoassays), while no detectable amount (less than 1.0 ng/g) was present in the cortex. Gel permeation chromatographic analysis showed that ANP in the medulla is composed of two components of alpha-hANP-like immunoreactivity with high and low molecular weights in the approximate ratio of 2:1, eluting at the elution positions of gamma-hANP and alpha-hANP, respectively. Reverse-phase high performance liquid chromatographic analysis revealed that alpha-hANP-like immunoreactivity with a low molecular weight in the medulla consists of two major components, which comigrate with synthetic alpha-hANP(5-28) and alpha-hANP. When cultured bovine adrenal chromaffin cells were incubated in the presence of nicotine (10(-5) M), alpha-hANP-like immunoreactivity was released into the medium concomitantly with catecholamines from chromaffin cells. These findings indicate that a discrete ANP system is present in the adrenal medulla and that ANP is cosecreted with catecholamines from chromaffin cells, suggesting the possible involvement of ANP in the adrenomedullary function.
Intelligent Transportation Systems' Orchestration: Lessons Learned & Potential Opportunities (2022)

The growing deployment efforts of 5G networks globally has led to the acceleration of the businesses/services' digital transformation. This growth has led to the need for new communication technologies that will promote this transformation. 6G is being proposed as the set of technologies and architectures that will achieve this target. Among the main use cases that have emerged for 5G networks and will continue to play a pivotal role in 6G networks is that of Intelligent Transportation Systems (ITSs). With all the projected benefits of developing and deploying efficient and effective ITSs comes a group of unique challenges that need to be addressed. One prominent challenge is ITS orchestration due to the various supporting technologies and heterogeneous networks used to offer the desired ITS applications/services. To that end, this paper focuses on the ITS orchestration challenge in detail by highlighting the related previous works from the literature and listing the lessons learned from current ITS deployment orchestration efforts. It also presents multiple potential data-driven research opportunities in which paradigms such as reinforcement learning and federated learning can be deployed to offer effective and efficient ITS orchestration.
L p Samplers and Their Applications (2019)

The notion of L p sampling, and corresponding algorithms known as L p samplers, has found a wide range of applications in the design of data stream algorithms and beyond. In this survey, we present some of the core algorithms to achieve this sampling distribution based on ideas from hashing, sampling, and sketching. We give results for the special cases of insertion-only inputs, lower bounds for the sampling problems, and ways to efficiently sample multiple elements. We describe a range of applications of L p sampling, drawing on problems across the domain of computer science, from matrix and graph computations, as well as to geometric and vector streaming problems.
Practicality of accelerometer side channels on smartphones (2012)

Modern smartphones are equipped with a plethora of sensors that enable a wide range of interactions, but some of these sensors can be employed as a side channel to surreptitiously learn about user input. In this paper, we show that the accelerometer sensor can also be employed as a high-bandwidth side channel; particularly, we demonstrate how to use the accelerometer sensor to learn user tap- and gesture-based input as required to unlock smartphones using a PIN/password or Android's graphical password pattern. Using data collected from a diverse group of 24 users in controlled (while sitting) and uncontrolled (while walking) settings, we develop sample rate independent features for accelerometer readings based on signal processing and polynomial fitting techniques. In controlled settings, our prediction model can on average classify the PIN entered 43% of the time and pattern 73% of the time within 5 attempts when selecting from a test set of 50 PINs and 50 patterns. In uncontrolled settings, while users are walking, our model can still classify 20% of the PINs and 40% of the patterns within 5 attempts. We additionally explore the possibility of constructing an accelerometer-reading-to-input dictionary and find that such dictionaries would be greatly challenged by movement-noise and cross-user training.
Supplementary Material from <i>HSP70</i> Inhibition Synergistically Enhances the Effects of Magnetic Fluid Hyperthermia in Ovarian Cancer (2023)

&lt;p&gt;Supplementary protocol, figure legends and tables. Supplementary Table S1. Cumulative Equivalent Minutes; Supplementary Table S.2 The top 20 genes upregulated by MFH at 43ËšC and 30 min; Supplementary Table S.3 The top 10 genes downregulated by MFH at 43ËšC and 30 min; Supplementary Tables S.4 IC50 values of PES in ovarian cancer cell lines; Supplementary Table S.5 Combination index parameters from CompSyn; Supplementary Table S.6 Combination index values for HeyA8 cells treated in combination with various concentrations of PES and various exposure times of MFH at 43ËšC; Supplementary Table S.7 HSPA6 RNA interference and MFH decreased subcutaneous HeyA8 P values from relative tumor volume. The P values were calculated using the nonparametric test Mann-Whithey.&lt;/p&gt;
Power-rate-distortion analysis for H.264 video coding over wireless channel (2009)

In this paper we propose a novel joint power-rate-distortion (P-R-D) model for H.264/AVC-based wireless video communications through portable devices. To optimize video qualify after transmission through error prone channels under the condition of energy constraints for real-time video coding, we present a novel model that takes into account multiple factors, including energy allocation, source coding, channel distortion. The results of experiments have demonstrated that the proposed energy-efficient model can minimize end-to-end distortion under power constraints in a wide range.
Shape-Selective Catalysis in the Alkylation of Naphthalene: Steric Interaction with the Nanospace of Zeolites (2015)

Steric interaction of reagents with nanospace of zeolites was studied in alkylation: isopropylation, sec-butylation, and tert-butylation of naphthalene (NP) over several large-pore zeolites to elucidate the mechanism of shape-selective catalysis. Selectivities for β,β- and 2,6-dialkylnaphthalene (DAN) were influenced by the type of zeolite and bulkiness of alkylating agent. Shape-selective formation of β,β- and 2,6-diisopropylnaphthalene (DIPN) occurred only over H-mordenite (MOR) in the isopropylation of NP. Bulky α,α- and α,β-DIPN are excluded because of steric restriction at their transition states by the MOR channels, resulting in the selective formation of β,β- and 2,6-DIPN. AFI (SSZ-24) gave also high selectivities for 2,6-DIPN, and CFI (CIT-5) and MSE (MCM-68) gave high selectivities for β,β-DIPN. The lower selectivities for 2,6-DIPN were observed over the zeolites, ATS (SSZ-55), LFR (SSZ-42), DON (UTD-1), SFH (SSZ-53), FAU (Y-zeolite), BEA (zeolite β), and CON (CIT-1). Their channels allow the accommodation of bulky isomers, resulting in the catalysis under kinetic and/or thermodynamic controls. The selectivities for β,β- and 2,6-DAN were enhanced with the increase in bulkiness of alkylating agents: 1-butene for sec-butylation and 2-methylpropene for tert-butylation, even over zeolites with large pores and channels: the transition states of the least bulky isomers only fit the channels, and the other bulky isomers are excluded by steric restriction of the channels. However, tert-butylation over FAU, BEA, and CON had selectivities of around 50-60% for 2,6-DTBN, and almost 100% selectivities for β,β-DTBN. These zeolites cannot recognize the differences between 2,6- and 2,7-DTBN, but they can differentiate β,β-DTBN from the other isomers. The results indicate that the fitting of the least bulky isomers to zeolite channels, resulting in the exclusion of other bulky isomers, is a key for highly shape-selective catalysis.