gebhart/patrepeval huggingface dataset:
ChemInform Abstract: Synthesis of Novel Four‐Membered Ring Amino Acids as Modulators of the N‐Methyl‐D‐aspartate (NMDA) Receptor Complex. (1992)

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.
CD83 acts as immediate early response gene in activated macrophages and exhibits specific intracellular trafficking properties (2023)

Macrophages (MΦ) are remarkably plastic cells, which assume phenotypes in every shade between a pro-inflammatory classical activation, and anti-inflammatory or resolving activation. Therefore, elucidation of mechanisms involved in shaping MΦ plasticity and function is key to understand their role during immunological balance. The immune-modulating CD83 molecule is expressed on activated immune cells and various tissue resident MΦ, rendering it an interesting candidate for affecting MΦ biology. However, in-depth analyses of the precise kinetics and trafficking of CD83 within pro-inflammatory, LPS activated bone-marrow-derived MΦ have not been performed. In this study, we show that activation with LPS leads to a very fast and strong, but transient increase of CD83 expression on these cells. Its expression peaks within 2 h of stimulation and is thereby faster than the early activation antigen CD69. To trace the CD83 trafficking through MΦs, we employed multiple inhibitors, thereby revealing a de novo synthesis and transport of the protein to the cell surface followed by lysosomal degradation, all within 6 h. Moreover, we found a similar expression kinetic and trafficking in human monocyte derived MΦ. This places CD83 at a very early point of MΦ activation suggesting an important role in decisions regarding the subsequent cellular fate.
ChemInform Abstract: Palladium‐Catalyzed Reactions in Industry. Part 4. First Palladium‐ Catalyzed Heck Reactions with Efficient Colloidal Catalyst Systems. (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.
X-ray backscatter imaging (2008)

In contrast to transmission X-ray imaging systems where inspected objects must pass between source and detector, Compton backscatter imaging allows both the illuminating source as well as the X-ray detector to be on the same side of the target object, enabling the inspection to occur rapidly and in a wide variety of space-constrained situations. A Compton backscatter image is similar to a photograph of the contents of a closed container, taken through the container walls, and highlights low atomic number materials such as explosives, drugs, and alcohol, which appear as especially bright objects by virtue of their scattering characteristics. Techniques for producing X-ray images based on Compton scattering will be discussed, along with examples of how these systems are used for both novel security applications and for the detection of contraband materials at ports and borders. Differences between transmission and backscatter images will also be highlighted. In addition, tradeoffs between Compton backscatter image quality and scan speed, effective penetration, and X-ray source specifications will be discussed.
Diabetic Nephropathy: Natural Course, Survivorship and Therapy (1981)

Diabetes mellitus is a disease with major social and economic consequences. End-stage renal disease (ESRD) due to diabetes occurs in as many as 30% of patients with juvenile diabetes, providing a large percentage (up to 33%) of all patients in need of therapy for ESRD. We have reviewed the natural course of the nephropathy in type I diabetes mellitus and the results of dialysis and transplantation therapy with particular regard to survival and morbidity. Comparisons of the survival of diabetic patients among peritoneal dialysis, hemodialysis, and transplantation are complicated by the lack of sufficient data for peritoneal dialysis and by the bias introduced by patient/treatment selection methods. Presently, it appears that transplantation with a living related donor graft offers the best survival for both graft and patient, with a definite reduction of morbidity associated with the complications of diabetes. Cadaveric transplantation is approximately the equivalent of hemodialysis in patient survival at 1 year and also appears to offer a somewhat diminished morbidity. Peritoneal dialysis data are sparse and skewed by patient selection. However, there is some emerging evidence that therapy with this modality may be associated with a delay in progression of retinopathy, when compared with hemodialysis.
Collaborative assessment of functional reliability in wireless networks (2012)

Nodes that are part of a multihop wireless network, typically deployed in mission critical settings, are expected to perform specific functions. Establishing a notion of reliability of the nodes with respect to each function (referred to as functional reliability or FR) is essential for efficient operations and management of the network. This is typically assessed based on evidence collected by nodes with regards to other nodes in the network. However, such evidence is often affected by factors such as channel induced effects and interference. In multihop contexts, unreliable intermediary relays may also influence evidence. We design a framework for collaborative assessment of the FR of nodes, with respect to different types of functions; our framework accounts for the above factors that influence evidence collection. Each node (say Chloe) in the network derives the FR of other nodes (say Jack) based on two types of evidence: (i) direct evidence, based on her direct transactions with each such node and (ii) indirect evidence, based on feedback received regarding Jack from others. Our framework is generic and is applicable in a variety of contexts. We also design a module that drastically reduces the overhead incurred in the propagation of indirect evidence at the expense of slightly increased uncertainty in the assessed FR values. We implement our framework on an indoor/outdoor wireless testbed. We show that with our framework, each node is able to determine the FR for every other node in the network with high accuracy. Our indirect evidence propagation module decreases the overhead by 37% compared to a simple flooding based evidence propagation, while the accuracy of the FR computations is decreased only by 8%. Finally, we examine the effect of different routing protocols on the accuracy of the assessed values.
Medium‐term Outcome of Endoluminal Gastroplication With the EndoCinch Device in Children (2008)

EG is an effective and safe procedure in children. It is a viable option for the treatment of GERD refractory to or dependent on antireflux medications.
Heart-Cutting Two-Dimensional Ultrahigh-Pressure Liquid Chromatography for Process Development: Asymmetric Reaction Monitoring (2013)

This contribution presents the first application of two-dimensional, ultrahigh-pressure liquid chromatography (2D-UHPLC) for monitoring asymmetric reactions in process development. Several asymmetric transformations were studied to illustrate the operation of the instrument and evaluate the performance of 2D-UHPLC. Two-dimensional UHPLC is particularly advantageous because it allows a simultaneous analysis of the reaction conversion and its enantiomeric excess. By employing UHPLC the analysis time can be reduced significantly, and the achiral–chiral 2D coupling approach allows for direct injection of the reaction mixture. This study demonstrates the utility of 2D-UHPLC in asymmetric transformations for drug development.
Issues affecting the level of prosthetics research evidence (2014)

Critical analysis of the strengths and limitations of publications included in a systematic review can inform evidence consumers and contributors about challenges inherent to a field of research. Results of this analysis suggest that efforts to address identified limitations are needed to enhance the overall level of prosthetics evidence.
Analysis of wall boundary in moving particle semi-implicit method and a novel model of fluid–wall interaction (2015)

Wall boundary modelling is one of the key factors that affect the accuracy of the moving particle semi-implicit (MPS) method. In most implementations of the MPS method, wall boundaries are modelled by discrete wall particles and corresponding phantom particles. In this work, a systematic analysis is performed to demonstrate that the discretised representation of wall boundaries can numerically cause unphysical ‘frictional force’ and ‘bouncing movement’ to nearby fluid particles. This can significantly influence the accuracy of the MPS method. To address these issues, a new fluid–wall interaction model is proposed which replaces the discrete wall particles with a continuous, smooth mathematical description of the particle number density. With the new fluid–wall interaction model, solid boundaries are modelled to retain their physical shapes. Numerical examples demonstrate that the new method generates more accurate and physical results than the original MPS method. In addition to the improved results, the new method also features reduced complexity of MPS modelling and more efficient computation. The method is also envisioned to be applicable to problems with arbitrarily shaped boundaries.
Characterization of fast fading vector channels for multi-antenna communication systems (2002)

In a wireless communication environment, multipath propagation and mobile user motion result in a dispersive time-varying communication channel. In order to analyze the performance of wireless communication systems, it is necessary to define models which reasonably approximate the time varying impulse response of the radio channel. Many widely accepted scalar channel (single antenna) statistical models have been reported. In order to analyze performance for real time adaptive antenna array techniques, it is necessary to extend existing scalar channel statistical models to the vector channel (multiple antenna) case. The paper develops a statistical, time varying, dispersive, wireless vector channel model which is based on the physical propagation environment. The model is shown to be consistent with the known characteristics of the wireless communication channel. Antenna pattern interference rejection as a function of update rate is presented as an application example for the vector channel model.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>
CCDC 645836: Experimental Crystal Structure Determination (2009)

An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
Random steerable arrays for synthetic aperture imaging (2013)

In classical spotlight-mode synthetic aperture radar (SAR), a mobile sensor array is steered to always focus on the same area (spot) as it moves, transmitting pulses to illuminate the spot and receiving and processing their reflections. The result is a high resolution image, covering a relatively small area. In this paper, we propose using a randomly steerable sensor array for synthetic aperture imaging, aiming to increase the coverage area without sacrificing the imaging resolution. This is realized by steering the beam of the array such that each transmitted pulse illuminates one of two or more spots, randomly selected with equal probability. Each of those spots has the same size as a single spot in a classical array, effectively doubling (or more) the total area illuminated. Using principles from compressive sensing (CS) we demonstrate that it is possible to reconstruct the images of all illuminated areas by exploiting the structure of the reconstructed images. Our experimental results demonstrate that our random steerable array can double coverage with almost the same imaging resolution.
Molecular and Microbial Microenvironments in Chronically Diseased Lungs Associated with Cystic Fibrosis (2019)

To visualize the personalized distributions of pathogens and chemical environments, including microbial metabolites, pharmaceuticals, and their metabolic products, within and between human lungs afflicted with cystic fibrosis (CF), we generated three-dimensional (3D) microbiome and metabolome maps of six explanted lungs from three cystic fibrosis patients. These 3D spatial maps revealed that the chemical environments differ between patients and within the lungs of each patient. Although the microbial ecosystems of the patients were defined by the dominant pathogen, their chemical diversity was not. Additionally, the chemical diversity between locales in the lungs of the same individual sometimes exceeded interindividual variation. Thus, the chemistry and microbiome of the explanted lungs appear to be not only personalized but also regiospecific. Previously undescribed analogs of microbial quinolones and antibiotic metabolites were also detected. Furthermore, mapping the chemical and microbial distributions allowed visualization of microbial community interactions, such as increased production of quorum sensing quinolones in locations where <i>Pseudomonas</i> was in contact with <i>Staphylococcus</i> and <i>Granulicatella</i>, consistent with <i>in vitro</i> observations of bacteria isolated from these patients. Visualization of microbe-metabolite associations within a host organ in early-stage CF disease in animal models will help elucidate the complex interplay between the presence of a given microbial structure, antibiotics, metabolism of antibiotics, microbial virulence factors, and host responses.<b>IMPORTANCE</b> Microbial infections are now recognized to be polymicrobial and personalized in nature. Comprehensive analysis and understanding of the factors underlying the polymicrobial and personalized nature of infections remain limited, especially in the context of the host. By visualizing microbiomes and metabolomes of diseased human lungs, we reveal how different the chemical environments are between hosts that are dominated by the same pathogen and how community interactions shape the chemical environment or vice versa. We highlight that three-dimensional organ mapping methods represent hypothesis-building tools that allow us to design mechanistic studies aimed at addressing microbial responses to other microbes, the host, and pharmaceutical drugs.
Molecular Functions of Hydrogen Sulfide in Cancer (2021)

Hydrogen sulfide (H<sub>2</sub>S) is a gasotransmitter that exerts a multitude of functions in both physiologic and pathophysiologic processes. H<sub>2</sub>S-synthesizing enzymes are increased in a variety of human malignancies, including colon, prostate, breast, renal, urothelial, ovarian, oral squamous cell, and thyroid cancers. In cancer, H<sub>2</sub>S promotes tumor growth, cellular and mitochondrial bioenergetics, migration, invasion, angiogenesis, tumor blood flow, metastasis, epithelia-mesenchymal transition, DNA repair, protein sulfhydration, and chemotherapy resistance Additionally, in some malignancies, increased H<sub>2</sub>S-synthesizing enzyme expression correlates with a worse prognosis and a higher tumor stage. Here we review the role of H<sub>2</sub>S in cancer, with an emphasis on the molecular mechanisms by which H<sub>2</sub>S promotes cancer development, progression, dedifferentiation, and metastasis.
A frequency-shaping methodology for discrete-time sliding mode control (2017)

This paper proposes a frequency shaping methodology for performance enhancement of discrete-time sliding mode control for systems with narrow band disturbances. This approach augments the sliding mode surface as a dynamic feedback system and designs an ‘optimal’ shaping filter in the feedback loop based on H-infinity synthesis, which assures both the stability and the desired frequency-response characteristics of the sliding mode surface. Furthermore, this frequency-shaping technique is advanced to be parameter-dependent to improve the efficiency and flexibility. The methodology enables the design of sliding mode control in frequency domain, which is critically important for high-precision systems that are subjected to high-frequency disturbances. The proposed frequency-shaped sliding mode control is applied onto a hard disk drive in the presence of vibrations with multiple peak frequencies; effective vibration suppression is demonstrated through comprehensive simulation study.
Cutting through the confusion: a measurement study of homograph attacks (2006)

Domain names are crucial to the usability of theWeb, but the same characteristics that make them useful to people also make them vulnerable to attack. When a user fol-lows a hyperlink, the domain name within the URL pro-
Fishtail effect and the vortex phase diagram of high-entropy alloy superconductor (2022)

High-entropy alloy (HEA) is an attracting topic raising in materials science and condensed matter physics. Although several types of superconductors have been discovered in HEAs, the critical currents (Jc) of HEA superconductors require further study. Here, we study the current-carrying ability of (TaNb)0.7(HfZrTi)0.5 HEA at various heat treatment conditions. We obtained the high upper critical field and large current carrying ability, which point to the potential applicability of the HEA superconductor under extreme conditions. Interestingly, the fishtail or the second peak effect was found in HEA superconductors, and the position of the vortex pinning force shows a maximum at 0.72 of the reduced field, which is quite different from the cuprates and iron-based high-Tc superconductors. Together with the resistive measurements, the vortex phase diagram is obtained for the HEA superconductor.
Micrometer size polarization independent depletion-type photonic modulator in Silicon On Insulator (2007)

The trend in silicon photonics, in the last few years has been to reduce waveguide size to obtain maximum gain in the real estate of devices as well as to increase the performance of active devices. Using different methods for the modulation, optical modulators in silicon have seen their bandwidth increased to reach multi GHz frequencies. In order to simplify fabrication, one requirement for a waveguide, as well as for a modulator, is to retain polarisation independence in any state of operation and to be as small as possible. In this paper we provide a way to obtain polarization independence and improve the efficiency of an optical modulator using a V-shaped pn junction base on the natural etch angle of silicon, 54.7 deg. This modulator is compared to a flat junction depletion type modulator of the same size and doping concentration.
Robust Optimal Power Flow with Wind Integration Using Conditional Value-at-Risk (2013)

Integrating renewable energy into the power grid requires intelligent risk-aware dispatch accounting for the stochastic availability of renewables. Toward achieving this goal, a robust DC optimal flow problem is developed in the present paper for power systems with a high penetration of wind energy. The optimal dispatch is obtained as the solution to a convex program with a suitable regularizer, which is able to mitigate the potentially high risk of inadequate wind power. The regularizer is constructed based on the energy transaction cost using conditional value-at-risk (CVaR). Bypassing the prohibitive high-dimensional integral, the distribution-free sample average approximation method is efficiently utilized for solving the resulting optimization problem. Case studies are reported to corroborate the efficacy of the novel model and approach tested on the IEEE 30-bus benchmark system with real operation data from seven wind farms.
Critical currents, pinning, and edge barriers in narrowYBa2Cu3O7−δthin films (1990)

Current transport behavior is reported for narrow strips (down to approximately 1 \ensuremath{\mu}m) of ${\mathrm{YBa}}_{2}$${\mathrm{Cu}}_{3}$${\mathrm{O}}_{7\mathrm{\ensuremath{-}}\mathrm{\ensuremath{\delta}}}$ thin films deposited and lithographically patterned by various means. A systematic increase in the critical current densities is observed in the narrowest strips, suggesting the possible presence of an edge barrier-to-flux entry in these films. The critical currents are found to be near the depairing limit as calculated for these particular films. The critical currents are observed to decrease with increasing temperature, consistent with a flux-creep model. Also, current-voltage characteristics are measured at various temperatures. These characteristics are consistent with exponential behavior in the low-temperature region, but are better fit by power-law behavior at the high temperatures. Flux-pinning energies at zero temperature derived from these data range from 20 to 200 meV depending on the method used. The high-temperature power-law behavior may reflect inhomogeneities along the length of the strips.
Process Trace Clustering: A Heterogeneous Information Network Approach (2016)

Process mining is the task of extracting information from event logs, such as ones generated from workflow management or enterprise resource planning systems, in order to discover models of the underlying processes, organizations, and products. As the event logs often contain a variety of process executions, the discovered models can be complex and difficult to comprehend. Trace clustering helps solve this problem by splitting the event logs into smaller subsets and applying process discovery algorithms on each subset, resulting in per-subset discovered processes that are less complex and more accurate. However, the state-of-the-art clustering techniques are limited: the similarity measures are not process-aware and they do not scale well to high-dimensional event logs. In this paper, we propose a conceptualization of process's event logs as a heterogeneous information network, in order to capture the rich semantic meaning, and thereby derive better process-specific features. In addition, we propose SeqPathSim, a meta path-based similarity measure that considers node sequences in the heterogeneous graph and results in better clustering. We also introduce a new dimension reduction method that combines event similarity with regularization by process model structure to deal with event logs of high dimensionality. The experimental results show that our proposed approach outperforms state-of-the-art trace clustering approaches in both accuracy and structural complexity metrics.
Chemical engineering curricula and challenges resulting from global megatrends (2015)

QScience.com is the innovative and collaborative, peer-reviewed, online publishing platform from Hamad bin Khalifa University Press (HBKU Press). It offers a fast and transparent Open Access scholarly publishing process, which is centered on the author, bringing their research to a global audience.