gebhart/patrepeval huggingface dataset:
Symmetry-breaking host–guest assembly in a hydrogen-bonded supramolecular system (2023)

Bio-inspired self-assembly is invaluable to create well-defined giant structures from small molecular units. Owing to a large entropy loss in the self-assembly process, highly symmetric structures are typically obtained as thermodynamic products while formation of low symmetric assemblies is still challenging. In this study, we report the symmetry-breaking self-assembly of a defined C<sub>1</sub>-symmetric supramolecular structure from an O<sub>h</sub>-symmetric hydrogen-bonded resorcin[4]arene capsule and C<sub>2</sub>-symmetric cationic bis-cyclometalated Ir complexes, carrying sterically demanding tertiary butyl (<sup>t</sup>Bu) groups, on the basis of synergistic effects of weak binding forces. The flexible capsule framework shows a large structural change upon guest binding to form a distorted resorcin[4]arene hexameric capsule, providing an asymmetric cavity. Location of the chiral guest inside the anisotropic environment leads to modulation of its Electric Dipole (ED) and Magnetic Dipole (MD) transition moments in the excited state, causing an increased emission quantum yield, longer emission lifetime, and enhancement of the dissymmetry factor (g<sub>lum</sub>) in the circularly polarized luminescence.
FPGAs, Programming Models, and Kit Cars (2011)

The degree of parallelism and ability to customize the RAM and data path architecture to the computation have enabled FPGAs to replace custom ASIC chips in many designs. Teams of highly skilled engineers crafting HDL code are the Formula-1 teams of the FPGA world, optimizing data paths from the thousands of programmable elements in an FPGA.
Towards Analysis of the Radiation Sensitivity of Digital Designs at High Level of Abstraction (2015)

&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;Design assurance guidance such as DO-254, and commercial off the shelf (COTS) increasing popularity in high critical mission have pushed the validation and verification methodologies to improve by integrating fault tolerance analysis in reliability assessment. A novel methodology for analysing the sensitivity of digital designs to single event upsets (SEU) is proposed. We first characterize basic combinational circuit models using fault injection via mutation technique at low level of abstraction. Error analysis is performed at primary outputs to identify patterns that are collected in a faulty behaviour library. This library is then used at a high level of abstraction to execute a sensitivity analysis on a digital design model. A reliability report is then generated showing the soft error rate (SER) and the benign errors count. We proved our methodology by analysing the radiation sensitivity of a discrete wavelet transform architecture using two different sets of data. The first one obtained by simulation and the second one through a real radiation exposure conducted at the TRIUMF particle accelerator. Results show that the SER obtained with simulation-based data (91.4%) is close to the SER calculated with experimental data (88.2%) making the methodology applicable for low-cost early verification of the radiation sensitivity of a design.&lt;/div&gt;&lt;/div&gt;
Low-voltage and high-gain pentacene inverters with plasma-enhanced atomic-layer-deposited gate dielectrics (2006)

The pentacene thin-film transistors with the plasma-enhanced atomic-layer-deposited 150nm thick Al2O3 or 120nm thick ZrO2 have been operated at gate voltages between −3 and 3V. The inverter with a ZrO2 gate dielectric shows a gain of 49 and a full swing from supply voltage (Vdd) to 0V, operating at input voltages (Vin) from 0to−1V and at Vdd of −1V. The hysteresis observed in the voltage transfer characteristic of the inverter depends on the scan range of Vin applied to the driver transistor, regardless of the Vdd applied to the load transistor.
Recent progress in plasma confinement and heating in open-ended magnetic traps (2007)

The two simplest axisymmetric systems (multi-mirror and gas dynamic) for plasma heating and confinement are described. Significant progress in understanding the key physical phenomena in heating and confinement of plasma made it possible to suppress longitudinal electron thermal conductivity (by three orders of magnitude, in the case of the multi-mirror system), to stabilize MHD instabilities in axisymmetric geometry. As a result of such suppression, in the case of the multi-mirror trap, a dense plasma (ne ∼ 1021 m−3) was heated up to Te ≈ Ti ≈ 2 keV or even higher. Until now no limitations preventing further growth of plasma parameters have been observed. The main goal of the gas dynamic trap studies is a demonstration of the feasibility of a 14 MeV neutron source (NS) with a neutron flux density of 2 MW m−2, and a testing zone area of 1 m2 for structural tests of fusion materials. In this paper, the most important results on the MHD stability of plasma in axisymmetric geometry, as well as the formation of fast sloshing ions population and the D–D neutrons generation are presented. Currently, the upgrade of the GDT device has been completed. We also report on the construction of new neutral beam injectors with total power of up to 10 MW and heating pulse duration of 5 ms (corresponding to a steady state regime). According to calculations, the feasibility of a 'moderate' NS with a neutron flux of 0.5 MW m−2 can be demonstrated with the new neutral beam injection system in the near future. Preliminary experiments with the first two new NB injectors are currently being carried out at the Budker Institute of Nuclear Physics.
Discussion on architecture for object-to-object communication in Y.UbiNet-hn (2010)

The Y.UbiNet-hn contains the conceptual diagram for "connecting to anything" with NGN. Based on this diagram, we need to develop related architecture for object to object communication. So, this contribution provides the high-level architecture for object to object communication in support of ubiquitous networking.
Abstract 1120: Identification and characterization of a novel androgen-regulated long non-coding RNA in prostate cancer. (2013)

Abstract Long non-coding RNAs (lncRNAs) have recently been associated with the development and progression of a variety of cancers, including prostate cancer. However, to date very few prostate cancer lncRNAs have been characterized by functional studies as bona fide oncogenes and tumor suppressors. Previously, transcriptome sequencing (RNA-Seq) of prostate tumors and benign adjacency tissues revealed a set of putative lncRNAs termed Prostate Cancer Associated Transcripts (PCATs) with significantly altered expression levels in cancer. Intriguingly, a subset of these PCATs were strikingly upregulated in treatment-resistant metastatic prostate cancer samples, suggesting that they may play a role in the development of castrate resistant disease. To explore this possibility we stimulated prostate cancer cell lines with synthetic androgen and monitored the responsiveness of several PCATs. We found that PCAT29, a six-exon nuclear transcript located in a gene desert on chromosome 15, was suppressed by androgen in a time-dependent fashion. Furthermore, androgen receptor (AR) ChIP-Seq data revealed a strong binding site upstream of the PCAT29 promoter suggesting that PCAT29 may be a direct androgen receptor target. Supporting this notion, physical castration of a mouse Xenograft model led to profound upregulation of PCAT29 suggesting that AR signaling suppresses its transcription. Knockdown of PCAT29 using two independent shRNA leads to significant increase in the proliferation of LNCaP cells. Consistently, overexpression of PCAT29 in DU145 cells suppresses proliferation. Finally, we show that in prostate cancer patients, high PCAT29 expression correlates with better overall survival. Taken together our study suggests that PCAT29 may have a tumor suppressor like function in prostate cancer. Ongoing studies are focused on understanding the potential mechanism of PCAT29 function and its relationship with androgen signaling. Citation Format: Rohit Malik, Matthew K. Iyer, John R. Prensner, Lalit Patel, Sumin Han, Wei Chen, Felix Feng, Arul M. Chinnaiyan. Identification and characterization of a novel androgen-regulated long non-coding RNA in prostate cancer. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 1120. doi:10.1158/1538-7445.AM2013-1120
Design and performance of a prototype general purpose analog neural computer (2002)

A programmable analog neural computer and selected applications are described. The machine was assembled from over 100 custom VLSI modules containing neurons, synapses, routing switches, and programmable synaptic time constants. Connection symmetry and modular construction allow expansion to arbitrary size. The network runs in real-time analog mode. Connection architecture as well as neuron and synapse parameters are controlled by a digital host that monitors the network performance through a digital/analog interface. Programming and monitoring software has been developed. Several application examples, including the dynamic decomposition of acoustical patterns, are described. The machine is intended to real-time, real-world computations. In current configuration its maximal speed is equivalent to that of a digital machine capable of more than 10/sup 12/ FLOPS.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>
Nucleotide regulation of ATP sensitive potassium channels (1994)

Journal Article Nucleotide regulation of ATP sensitive potassium channels Get access André Terzic, André Terzic Division of Cardiovascular Diseases, Department of Internal Medicine, Guggenheim 7F, Mayo Clinic, Rochester, MN 55905, IJSA: A Terzic, R T Tung, Y Kurachi. Correspondence to Dr Kurachi. Search for other works by this author on: Oxford Academic PubMed Google Scholar Robert T Tung, Robert T Tung Division of Cardiovascular Diseases, Department of Internal Medicine, Guggenheim 7F, Mayo Clinic, Rochester, MN 55905, IJSA: A Terzic, R T Tung, Y Kurachi. Search for other works by this author on: Oxford Academic PubMed Google Scholar Yoshihisa Kurachi Yoshihisa Kurachi Division of Cardiovascular Diseases, Department of Internal Medicine, Guggenheim 7F, Mayo Clinic, Rochester, MN 55905, IJSA: A Terzic, R T Tung, Y Kurachi. Search for other works by this author on: Oxford Academic PubMed Google Scholar Cardiovascular Research, Volume 28, Issue 6, June 1994, Pages 746–753, https://doi.org/10.1093/cvr/28.6.746 Published: 01 June 1994 Article history Received: 16 December 1993 Accepted: 28 January 1994 Published: 01 June 1994
Proposition of a Micro Finger Using ECF-jet and Characteristics Evaluation of Large Model (2007)

Electro-Conjugate Fluid (ECF) is a dielectric and functional fluid, which produces jet-flow (ECF-jet) by applying high voltage between electrodes. It is ascertained that a strong ECF-jet is generated under a nonuniform electric field, for example around a needle-ring electrode pair consisting of a needle-type electrode and a ring-type electrode. This study proposes and realizes a novel microactuator with 2 degree of freedom motion using ECF-jet generated by the needle-ring electrode pair. In this paper, first, we propose a novel microactuator using ECF-jet (ECF micro finger). The ECF micro finger consists of a finger-tube with three chambers, made of three flexible tubes, and a jet generator with three needle-ring electrode pairs. When the ECF-jet is applied to the chambers, the pressurized chambers are expanded, the other chambers are shrunk and the finger is bent. Next, a large model of the proposed ECF micro finger is fabricated. Finally, he static characteristics of the large model are experimentally investigated
How Does Confinement Affect the Catalytic Activity of Mesoporous Materials? (2007)

Abstract ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 200 leading journals. To access a ChemInform Abstract, please click on HTML or PDF.
Repeated play of the SVM game as a means of adaptive classification (2015)

The field of machine learning strives to develop algorithms that, through learning, lead to generalization; that is, the ability of a machine to perform a task that it was not explicitly trained for. An added challenge arises when the problem domain is dynamic or non-stationary with the data distributions or categorizations changing over time. This phenomenon is known as concept drift. Game-theoretic algorithms are often iterative by nature, consisting of repeated game play rather than a single interaction. Effectively, rather than requiring extensive retraining to update a learning model, a game-theoretic approach can adjust strategies as a novel approach to concept drift. In this paper we present a variant of our Support Vector Machine (SVM) Game classifier which may be used in an adaptive manner with repeated play to address concept drift, and show results of applying this algorithm to synthetic as well as real data.
On TDD cross-tier in-band interference mitigation: a practical example (2012)

This work considers in-band interference that appears in two-tier macro/femto cellular networks when macrocells and femtocells operate on the same frequency band. We focus on the time division duplex (TDD) mode where uplink-downlink nterference occurs if time sharing between uplink and downlink are
Effect of topically applied Na-hyaluronan on experimental corneal alkali wound healing (1996)

The effect of topically applied 1% sodium hyaluronate (Na-HA) on the healing of a standardized corneal alkali wound was studied. The healing of the epithelium, stroma, and endothelium was evaluated separately, using quantitative methods. Central corneal alkali wound was produced in one eye of the rabbits by applying a 5.5-mm round filter paper, soaked in 1 N NaOH, for 60 seconds. 1% Na-HA in the treatment group and phosphate buffered saline (PBS) in the control group were given topically 4 times per day for 2 days, 1- and 3-weeks. Epithelial and endothelial healing was assessed morphometrically from standardized photographs and micrographs, respectively. Stromal healing was determined by counting polymorphonuclear leukocytes (PMN) and keratocytes in the central and marginal wound areas. A positive healing influence was observed in the epithelium. In stromal healing, 1% Na-HA treated corneas showed less PMNs and more keratocytes than the control group, suggesting that topically applied 1% Na-HA may suppress the stromal PMN infiltration and enhance the keratocyte repopulation during corneal alkali wound healing. However, no significant difference was found in morphometric evaluation of endothelial healing between the two groups.
Wide Frequency Tuning in Passively Mode-Locked Laser Diode without Saturable Absorber (2006)

We report passive-mode-locking in multi-section laser diodes which consist of a DFB reflector, a phase section, and a gain section. The frequency tuning range is 37.4~40.6GHz and extinction ratio is larger than 11dB.
Analysis of hydroxyl group controlled atomic layer deposition of hafnium dioxide from hafnium tetrachloride and water (2004)

Atomic layer deposition (ALD) has recently gained interest because of its suitability for the fabrication of conformal material layers with thicknesses in the nanometer range. Although the principles of ALD were realized 30 to 40 years ago, the description of many physicochemical processes that occur during ALD growth is still under development. “Substrate-inhibited (SI)” ALD growth is one phenomenon not yet well understood. In SI-ALD, the growth-per-cycle (GPC) increases in the beginning of the growth, goes through a maximum, and levels off to a constant value. The origin of SI growth is investigated in this work with two recent models of ALD: Model A of Puurunen [Chem. Vap. Deposition 9, 249 (2003)] and Model B of Alam and Green [J. Appl. Phys. 94, 3403 (2003)]. The hafnium tetrachloride/water ALD process, of interest for gate dielectric applications, is taken to represent typical SI growth. The possible reaction chemistry is evaluated with two models: Model C of Ylilammi [Thin Solid Films, 279, 124 (1996)] and Model A. Model A seemingly allows higher amounts of species adsorbed at saturation than Model C. The ligand exchange reaction of hafnium tetrachloride with one surface hydroxyl (OH) group is chosen as the chemical basis of the modeling. Models A and B are, despite their apparent dissimilarity, found to treat the GPC identically when the same chemical reactions are assumed. According to Model A, the maximum in the GPC of hafnium dioxide ALD originates from a maximum in the surface concentration of OH groups, whereas according to Model B, the maximum is caused by a sudden decrease in the fraction of OH groups reacted with hafnium tetrachloride. The physical picture obtained with Model A is in better agreement with other investigations. Analysis of Model B reveals that OH surface concentrations produced by the model are systematically too high and that the numerical solution of Model B is based on an assumption not valid for the hafnium oxide ALD process. In addition, Model B is constructed assuming that ALD is a continuous process. A theoretical example of random deposition as a growth mode in ALD compared to continuous deposition illustrates that the noncontinuous, discrete nature of ALD affects the resulting mathematic equations.
Augmenting motion sensing to improve detection of periods of unusual inactivity (2008)

Two sensing options are examined for their potential to improve the sensitivity of a system that detects periods of inactivity in the homes of elderly persons. A previous prototype used passive infrared motion sensors and door sensors combined with a learning algorithm to detect periods of unusual inactivity such as late wake-ups or the aftermath of a fall. This system worked as intended but suffered from low sensitivity, especially at nighttime, since the motion sensors were not able to distinguish a fall in the bedroom from a person getting into bed. Experiments with a worn accelerometer and with bed and chair occupancy sensors suggest that both can dramatically improve system sensitivity. The optimal solution may depend on the users' activity level, living area size, and willingness to wear a device.
Supplementary Figure 2 from The Checkpoint Kinase Inhibitor AZD7762 Potentiates Chemotherapy-Induced Apoptosis of <i>p53</i>-Mutated Multiple Myeloma Cells (2023)

&lt;p&gt;PDF file, 145KB, AZD7762 does not enhance PARP and caspase 3 cleavage in combination with bortezomib. Immunoblot analysis in KMS-12-PE cells after 24 and 48 h bortezomib +/- AZD7762 as indicated.&lt;/p&gt;
Towards a Standardized Dataset for Noun Compound Interpretation (2018)

Noun compounds are interesting constructs in Natural Language Processing (NLP). Interpretation of noun compounds is the task of uncovering a relationship between component nouns of a noun compound. There has not been much progress in this field due to lack of a standardized set of relation inventory and associated annotated dataset which can be used to evaluate suggested solutions. Available datasets in the literature suffer from two problems. Firstly, the approaches to creating some of the relation inventories and datasets are statistically motivated, rather than being linguistically motivated. Secondly, there is little overlap among the semantic relation inventories used by them. We attempt to bridge this gap through our paper. We present a dataset that is (a) linguistically grounded by using Levi (1978)'s theory, and (b) uses frame elements of FrameNet as its semantic relation inventory. The dataset consists of 2,600 examples created by an automated extraction from FrameNet annotated corpus, followed by a manual investigation. These attributes make our dataset useful for noun compound interpretation in a general-purpose setting. © LREC 2018 - 11th International Conference on Language Resources and Evaluation. All rights reserved.
Local error recovery in SRM: comparison of two approaches (1998)

Scalable reliable multicast (SRM) is a framework for reliable multicast delivery. In order to maximize the collaboration among the group members in error recovery, both retransmission requests and replies are multicast to the entire group. While SRM effectively uses random timers to suppress duplicate requests and replies, the global nature of the request and replies means that every packet loss results in at least one request and reply message sent to the entire group. To further improve the scalability of SRM, one must localize the scope of error recovery traffic. In this paper, we present two approaches to local recovery: hop-based scope control and use of local recovery groups. The first approach uses hop count to limit the distribution of requests and replies whereas the second approach confines error recovery traffic using separately addressed local recovery groups. The local recovery groups and hop count settings are automatically created and dynamically adjusted based on observed loss patterns. The use simulation experiments to examine the performance of both approaches.
Colt (2017)

Most organizations are becoming increasingly data-driven, often processing data from many different sources to enable critical business operations. Beyond the well-addressed challenge of storing and processing large volumes of data, financial institutions in particular are increasingly subject to federal regulations requiring high levels of accountability for the accuracy and lineage of this data. For companies like GE Capital, which maintain data across a globally interconnected network of thousands of systems, it is becoming increasingly challenging to capture an accurate understanding of the data flowing between those systems. To address this problem, we designed and developed a concept lineage tool allowing organizational data flows to be modeled, visualized and interactively explored. This tool has novel features that allow a data flow network to be contextualized in terms of business-specific metadata such as the concept , business , and product for which it applies. Key analysis features have been implemented, including the ability to trace the origination of particular datasets, and to discover all systems where data is found that meets some user-defined criteria. This tool has been readily adopted by users at GE Capital and in a short time has already become a business-critical application, with over 2,200 data systems and over 1,000 data flows captured.
A Capillary-Based Supersonic Jet Inlet System for Resonance-Enhanced Laser Ionization Mass Spectrometry:  Principle and First On-line Process Analytical Applications (2001)

A new supersonic jet inlet system for resonance-enhanced multiphoton ionization time-of-flight mass spectrometry (REMPI-TOFMS), based on a fused-silica capillary with an integral nozzle has been developed. The new jet inlet system generates a supersonic molecular beam that originates in the center of the ion source of the time-of-flight mass spectrometer. Because of the design of the inlet system, high spatial overlap of sample and laser beam (i.e., increased detection sensitivity) and excellent jet beam qualities are achieved with good adiabatic cooling properties of analyte molecules (i.e., considerably enhanced optical selectivity of the REMPI process). Furthermore, the inlet is very robust and chemically inert and contains no moving parts. As a result of these properties, the new inlet is perfectly suited for field applications of jet-REMPI. A first field application of a mobile supersonic jet-REMPI mass spectrometer equipped with the novel inlet technique is reported; namely, the concentration of monochlorobenzene, which is an indicator for the formation and emission of toxic polychlorinated dibenzo-p-dioxins/furans, PCDD/F) was measured on-line in the flue gas of a waste incineration plant.