gebhart/patrepeval huggingface dataset:
Textual demand analysis (2008)

This paper tackles textual demand analysis, the task of capturing what people want or need, rather than identifying what they like or dislike, on which much conventional work has focused. It exploits syntactic patterns as clues to detect previously unknown demands, and requires domaindependent knowledge to get high recall. To build such patterns we created an unsupervised pattern induction method relying on the hypothesis that there are commonly desired aspects throughout a domain corpus. Experimental results show that the proposed method detects twice to four times as many demand expressions in Japanese discussion forums compared to a baseline method.
Minimal Virtualized-Elastic-Regenerator Placement and Least Congestion Resources Assignment for Translucent Elastic Optical Networks (2015)

A virtualized-elastic-regenerator (VER) is a promising solution for efficiently regenerating various superchannels in elastic optical networks. We propose an effective heuristic for calculating minimal VER placement, routing, and least congestion resources assignment.
On the possibility of transverse negative differential conductivity in semiconductors. (1972)

Information relevant to the possible occurrence of transverse negative differential conductivity (TNDC) is reviewed. Discussed TNDC aspects include (1) necessary conditions for TNDC occurrence, (2) the role of locations and shapes of energy surfaces in k-space, and (3) crystallographic orientations most favorable to TNDC occurrence.
Temporal sequence processing using recurrent SOM (2002)

Recurrent self-organizing map (RSOM) is studied in temporal sequence processing. RSOM includes a recurrent difference vector in each unit of the map, which allows storing temporal context from consecutive input vectors fed to the map. RSOM is a modification of the temporal Kohonen map (TKM). It is shown that RSOM learns a correct mapping from temporal sequences of a simple synthetic data, while TKM fails to learn this mapping. In addition, two case studies are presented, in which RSOM is applied to EEG based epileptic activity detection and to time series prediction with local models. Results suggest that RSOM can be efficiently used in temporal sequence processing.
Pathway activation strength is a novel independent prognostic biomarker for cetuximab sensitivity in colorectal cancer patients (2015)

Cetuximab, a monoclonal antibody against epidermal growth factor receptor (EGFR), was shown to be active in colorectal cancer. Although some patients who harbor K-ras wild-type tumors benefit from cetuximab treatment, 40 to 60% of patients with wild-type K-ras tumors do not respond to cetuximab. Currently, there is no universal marker or method of clinical utility that could guide the treatment of cetuximab in colorectal cancer. Here, we demonstrate a method to predict response to cetuximab in patients with colorectal cancer using OncoFinder pathway activation strength (PAS), based on the transcriptomic data of the tumors. We first evaluated our OncoFinder pathway activation strength model in a set of transcriptomic data obtained from patient-derived xenograft (PDx) models established from colorectal cancer biopsies. Then, the approach and models were validated using a clinical trial data set. PAS could efficiently predict patients' response to cetuximab, and thus holds promise as a selection criterion for cetuximab treatment in metastatic colorectal cancer.
Mid-infrared surface plasmon coupled emitters utilizing intersublevel transitions in InAs quantum dots. (2016)

Abstract not provided.
Microrna Response of Primary Human Macrophages to Arcobacter Butzleri Infection (2016)

The role of microRNAs (miRNAs) in infectious diseases is becoming more and more apparent, and the use of miRNAs as a diagnostic tool and their therapeutic application has become the major focus of investigation. The aim of this study was to identify miRNAs involved in the immune signaling of macrophages in response to Arcobacter (A.) butzleri infection, an emerging foodborne pathogen causing gastroenteritis. Therefore, primary human macrophages were isolated and infected, and miRNA expression was studied by means of RNAseq. Analysis of the data revealed the expression of several miRNAs, which were previously associated with bacterial infections such as miR-155, miR-125, and miR-212. They were shown to play a key role in Toll-like receptor signaling where they act as fine-tuners to establish a balanced immune response. In addition, miRNAs which have yet not been identified during bacterial infections such as miR-3613, miR-2116, miR-671, miR-30d, and miR-629 were differentially regulated in A. butzleri-infected cells. Targets of these miRNAs accumulated in pathways such as apoptosis and endocytosis - processes that might be involved in A. butzleri pathogenesis. Our study contributes new findings about the interaction of A. butzleri with human innate immune cells helping to understand underlying regulatory mechanisms in macrophages during infection.
Integration of urine proteomics and renal single-cell genomics identifies an interferon-gamma response gradient in lupus nephritis (2020)

Abstract Lupus nephritis, one of the most serious manifestations of systemic lupus erythematosus (SLE), has both a heterogeneous clinical and pathological presentation. For example, proliferative nephritis identifies a more aggressive disease class that requires immunosuppression. However, the current classification system relies on the static appearance of histopathological morphology which does not capture differences in the inflammatory response. Therefore, a biomarker grounded in the disease biology is needed to understand the molecular heterogeneity of lupus nephritis and identify immunologic mechanism and pathways. Here, we analyzed the patterns of 1000 urine protein biomarkers in 30 patients with active lupus nephritis. We found that patients stratify over a chemokine gradient inducible by interferon-gamma. Higher values identified patients with proliferative lupus nephritis. After integrating the urine proteomics with the single-cell transcriptomics of kidney biopsies, it was observed that the urinary chemokines defining the gradient were predominantly produced by infiltrating CD8 T cells, along with natural killer and myeloid cells. The urine chemokine gradient significantly correlated with the number of kidney-infiltrating CD8 cells. These findings suggest that urine proteomics can capture the complex biology of the kidney in lupus nephritis. Patient-specific pathways may be noninvasively tracked in the urine in real time, enabling diagnosis and personalized treatment.
Laser demonstration with highly doped Yb:Gd_2O_3 and Yb:Y_2O_3 crystals grown by an original flux method (2013)

We present, to the best of our knowledge, the first laser demonstration of an Yb-doped Gd(2)O(3) cubic crystal. This crystal was obtained by the flux method using an original borate-based solvent, which was particularly well suited to the growth of rare earth sesquioxide crystals at half the working temperature of classical growth techniques. This flux method is a very interesting alternative for the production of laser sesquioxide crystals, not only because it provides access to new matrices of the cubic polymorph, but also because it permits high Yb(3+)-doping levels for these crystals. The first laser results of two highly Yb(3+)-doped sesquioxides, namely Gd(2)O(3) and Y(2)O(3), grown by this flux method are presented here, including the Ti:sapphire and diode pumping configurations. Laser efficiencies and emission spectra for these two crystals were studied and compared.
2010 OSA Topical Meeting on Optical Interference Coatings: Design Problem (2010)

Two design problems were posed: a high-temperature solar-selective coating and a near to mid-infrared Fabry-Perot etalon. Forty-nine submissions were received. The winners will be announced and an analysis of the designs will be presented.
A 10-bit 44-MS/s 20-mW Configurable Time-Interleaved Pipeline ADC for a Dual-Mode 802.11b/Bluetooth Receiver (2006)

This work presents a configurable time-interleaved pipeline architecture as an efficient solution for the ADC design in high data rate multi-standard radios. The ADC is implemented in a 0.25-/spl mu/m BiCMOS process as part of an integrated dual mode 802.11b/Bluetooth direct conversion receiver. Its structure can be configured to accommodate the different sampling rate and dynamic range requirements of both standards. The different techniques employed at the system and circuit levels to optimize the power consumption are described. An on-line digital calibration scheme is also incorporated to assure the conversion linearity and reduce mismatch among the parallel branches. The proposed ADC is a switched-capacitor implementation occupying an area of 2.1 mm/sup 2/. It achieves 60 dB/64 dB dynamic range at 44 MHz/11 MHz sampling frequency with a power consumption of 20.2 mW/14.8 mW for the 802.11b/Bluetooth baseband signals.
Acid/Base‐Sensitive Ring‐Opening Metathesis Polymers Based on Phenanthroimidazole Dyes (2007)

Abstract Poly(norbornenes) with pendant 2‐phenyl‐1 H ‐phenanthro[9,10‐ d ]imidazole in different ratios were prepared and their photophysical properties were studied in the presence and absence of acids. The polymers exhibited good film‐forming properties, which paved the way to study their acid/base‐sensitivity in the solid state. Polymer films with a high fluorophore content exhibited self‐absorption in their non‐protonated form and a pronounced fluorescence response in the presence of gaseous HCl. In contrast, thin films of the polymer with a low dye content showed almost no self‐absorption and only a poor response to the acidic analyte. magnified image
Numerical optics in digital holography (2007)

As digital holography achieves numerical reconstruction of the complex wavefront diffracted by specimen, a numerical optics formalism has been developed: numerical filters replace pinholes in Fourier planes, numerical lenses allow aberrations compensation and image magnification.
High Thermoelectric Performance of a Heterogeneous PbTe Nanocomposite (2015)

In this paper, we propose a heterogeneous material for bulk thermoelectrics. By varying the quenching time of Na doped PbTe, followed by hot pressing, we synthesized heterogeneous nanocomposites, a mixture of nanodot nanocomposites and nanograined nanocomposites. It is well-known that by putting excess amounts of Na (i.e., exceeding the solubility limit) into PbTe, nanodots with sizes as small as a few nanometers can be formed. Nanograined regions with an average grain size of ca. 10 nm are observed only in materials synthesized with an extremely low quenching rate, which was achieved by using a quenching media of iced salt water and cold water. Dimensionless thermoelectric figures of merit, zT, of those heterogeneous nanocomposites exhibited a zT around 2.0 at 773 K, which is a 25% increase compared to zT of a homogeneous nanodot nanocomposite with the largest quenching time in our experiment, i.e. furnace cooled. The power factor increase is 5%, and the thermal conductivity reduction is 15%; thus, zT increase mainly comes from the thermal conductivity reduction.
Temperature and Tempers: Heats impact on Mood and Language (2019)

Abstract: Temperatures above 20° Celsius have shown to adversely impact human behavior, leading to increased aggression and violence. Climate change will contribute to both the magnitude and severity of this pattern as temperatures continue their rise. Contributions to this field of research have only recently begun to analyze online behavior and language as a proxy for hedonic state, or well-being. From a development perspective this study is relevant since the poor tend to live in some of the warmest regions on earth, and would thus be disproportionately impacted by increased temperatures. We use several sources of data; U.S. based daily statewide temperature data from 2016 through 2017, as well as localized viewer chat data from a live video streaming website. We will sort chatting comments looking for key words (i.e. hate speech, swearing, etc.), and with the use of a word rating system we then assess the overall mood of the chatters contingent on high temperature readings on the precise day of the communications. After controlling for spatiotemporal fixed effects, we find strong evidence that hedonic state decreases above 20°c.
Highly fluorinated biphenyl ether systems as dopants for fast-response liquid crystal display applications (2011)

The overall display performance of representative commercially available +LC and –LC liquid crystal (LC) mixtures may be improved by the addition of small quantities of penta-, tetra- and tri-fluorinated biphenyl ether dopant systems. Synthetic routes for the preparation of the fluorinated dopants by nucleophilic aromatic substitution processes are described, and a range of electro-optical measurements of the doped LC mixtures, including LC rise and decay times, rotational viscosity, dielectric anisotropy, phase transition temperature and voltage holding ratios, were obtained. In general, the performance of the LC systems were improved by fluorobiphenyl ether doping, as determined by response time and rotational viscosity measurements, and figure of merit (FoM) calculations.
Alternative Routes to Highly Dispersed Cobalt Ferrite Nanocomposites (2007)

Magnetic core-shell cobalt ferrite-silsesquioxane-epoxy nanocomposites have been prepared with uniform nanoparticle distribution. The nanoparticles were surface-treated with methyl- (MTMS), aminopropyl- (APTMS), glycidoxypropyl- (GPTMS) trimethoxy-silane. The optimum coating process was performed in a water/merthanol solution on the particles directly after their synthesis without prior drying. The GPTMS-coatings were 30 nm thick and the nanoparticles dispersed well in epoxy without sedimentation. The MTMS-coated nanoparticles (3 nm coating) formed weak agglomerates in epoxy but showed no sedimentation. The APTMS-coated particles formed stronger agglomerates, which led to sedimentation of the aorticles during molding. The GPTMS-based composites showed higher fracture toughness than the MTMS-based composites. This was attributed to the presence of large agglomerates in the latter systems and to the stronger interface between coating and epoxy in the former systems. Ultrasonic alkaline etching allowed precis determination of the ferrite content of the core-shell nanoparticles. Magnetometry showe a markedly lower coercivity for nanoparticles with thin coatings (MTMS) than for the nanoparticles with thicker coatings (GPTMS) suggesting the occurrence of magnetic exchange interaction in the former systems. The nanocomposites showed no influence of surface coating on coercivity or saturation magnetization suggesting that the inter-particle distances were greater than 0.5 nm.
Kinetic analysis of the fatty acid synthesis pathway in HCT-116 colon cancer cells: role of FAS and ACC1 in maintaining tumor cell viability and proliferation (2007)

4473 De novo fatty acid synthesis is critical for tumor cell survival, and small molecule inhibitors of this pathway may be useful anti-cancer agents. In this report we sought to evaluate the contributions of two pathway enzymes, acetyl-CoA carboxylase 1 (ACC1) and fatty acid synthase (FAS) on the survival of HCT-116 colon cancer cells. To this end, we performed a kinetic analysis of FAS and ACC1 inhibition using siRNA transfections with two oligonucleotide sequences per target at various concentrations (0, 30 and 60 nM). Cell death (by apoptosis) and viability were assessed and plotted as a function of lipogenesis under the various transfection conditions in order to obtain a specific kinetic profile for knockdown of each enzyme. The resulting curves allowed for a direct comparison of FAS and ACC1 in terms of their significance in maintaining tumor cell viability. A gradual decrease of lipid biosynthesis by as much as 50% was achieved with siRNA-mediated knockdown of either FAS or ACC1 in HCT-116 cells. Reduced lipid biosynthesis correlated well with the expression of either FAS or ACC1. Furthermore, the changes in apoptosis and viability induced by the siRNA titrations, when plotted against lipogenesis, revealed an identical kinetic profile for both FAS and ACC1. For example, following a reduction in lipid biosynthesis by 25%, about 20% of cells stained positive for apoptosis compared to about 3% in control cells, irrespective of which target was knocked down. These findings strongly support the concept that a decrease in de novo lipogenesis, rather than perturbations in pathway intermediates, causes apoptosis in tumor cells when the FAS pathway is inhibited. It is generally difficult to compare targets in a pathway by using single-point siRNA transfections. One reason for this is that knockdown efficiency, and therefore the resulting functional effects, are likely to vary between different targets. Here, we have applied a kinetic approach using siRNA titrations, which allowed us to directly compare enzymes in the FAS pathway with respect to their role in controlling lipogenesis and tumor cell viability. Our results show that FAS and ACC1 are equally important enzymes for controlling lipogenesis and viability in cultured HCT-116 cancer cells.
Efficient Provisioning of Security Service Function Chaining Using Network Security Defense Patterns (2016)

Network functions virtualization intertwined with software-defined networking opens up great opportunities for flexible provisioning and composition of network functions, known as network service chaining. In the cloud, this allows providers to create service chains tuned to each application type while optimizing resources' utilization. This is particularly useful to accommodate different tenants' applications with different security needs. However, considering security provisioning from the single perspective of resources optimization may lead to deployment solutions that do not comply with well-known security-related best practices and recommendations. In this paper, we propose network security defense patterns (NSDP) aimed at leveraging the best practice and know-how from the security experts and at capturing various security constraints to efficiently select compliant security functions' deployment options. The placement problem being a NP-Hard problem to solve, we also propose a scalable networking and computing resources aware optimization framework to efficiently provision different NSDPs. We further show the feasibility of implementing NSDPs in the cloud infrastructure through the integration of our approach into an open source cloud framework, namely OpenStack, in our test laboratory. The simulation results show the effectiveness of our approach in selecting an optimal placement of the security functions for large data centers with hundreds of thousands of computing nodes, while complying with the predefined security constraints and improving the scalability compared to the current placement algorithms.
Dependence of Cladding Diameter on Inter-core Crosstalk in Heterogeneous Multi-core Fibers (2018)

We demonstrated the dependence of inter-core crosstalk (IC-XT) on the cladding diameter of heterogeneous two-core fibers. It was indicated that a large cladding diameter has some influence to suppress the IC-XT.
Correlation of Pelvic Incidence With Cam and Pincer Lesions (2014)

While the study results do not prove a causal relationship, it is theorized that the restriction of range of motion and biomechanical adaptations of the pelvis around the hip joints resulting from a smaller PI may affect hip development and FAI. The influence of mechanical factors beyond the hip joint in the development of FAI should be considered by clinicians.
Association of obesity with heart failure outcomes in 11 Asian regions: A cohort study (2019)

Asian Sudden Cardiac Death in HF (ASIAN-HF) Registry ClinicalTrials.gov Identifier: NCT01633398.
Synthesis, Properties, and Applications of Iron Nanoparticles (2005)

Abstract For Abstract see ChemInform Abstract in Full Text.
Optimizing program locality through CMEs and GAs (2003)

Caches have become increasingly important with the widening gap between main memory and processor speeds. Small and fast cache memories are designed to bridge this discrepancy. However, they are only effective when programs exhibit sufficient data locality.Performance of memory hierarchy can be improved by means of data and loop transformations. Tiling is a loop transformation that aims at reducing capacity misses by exploiting reuse at the lower levels of cache. Padding is a data transformation targeted to reduce conflict misses.This paper presents an accurate cost model which makes use of the Cache Miss Equations (CMEs) to guide tiling and padding transformations. It describes misses across different hierarchy levels and considers the effects of other hardware components such as branch predictors. We combine the cost model with a genetic algorithm (GA) to select the tile and pad factors that enhance the program.Our results show that this scheme is useful to optimize programs' performance. When compared to previous works, we observe that with a reasonable compile-time overhead, our approach obtains significant performance improvements for all studied kernels on a variety of architectures.
The paradox of plastics in healthcare and health (2021)

Plastics can be described as high molecular mass polymers comprising mostly of carbon, hydrogen, nitrogen and oxygen. The use of plastics has revolutionised the field of medicine and healthcare. Plastics are used in every phase of human healthcare – preventive, diagnostic, therapeutic, prosthetic and palliative. The COVID-19 pandemic has brought into sharper focus the critical role that plastics play in protecting patients, healthcare workers and citizens from infection, and saving millions of lives. Yet, paradoxically, the same material has been at the receiving end of civil society’s wrath for contributing to environmental as well as public health hazards. This chapter will explore the science-based evidence defining this paradox and seek a sustainable solution where we can exploit the beneficial use of plastic in healthcare while minimising its adverse impact on health and the environment.
Survey Of Ew Receiver Techniques (1984)

This paper discusses the classification of EW receivers according to their applications and structures. The characteristics of each type of receiver will be discussed briefly. The development stage and problems in each type of receiver will be discussed according to the receiver structure.
Development of an Augmented Reality Game to Teach Abstract Concepts in Food Chemistry (2015)

Abstract One of the most pressing issues for many land grant institutions is the ever increasing cost to build and operate wet chemistry laboratories. A partial solution is to develop computer‐based teaching modules that take advantage of animation, web‐based or off‐campus learning experiences directed at engaging students’ creative experiences. We used the learning objectives of one of the most difficult topics in food chemistry, enzyme kinetics, to test this concept. Students are apprehensive of this subject and often criticize the staid instructional methods typically used in teaching this material. As a result, students do not acquire a useful background in this important subject. To rectify these issues, we developed an interactive augmented reality application to teach the basic concepts of enzyme kinetics in the context of an interactive search that took students to several locations on campus where they were able to gather raw materials and view videos that taught the basics of enzyme kinetics as applied to the production of high fructose corn syrup (HFCS). The students needed this background to prepare for a mock interview with an HFCS manufacturer. Students and instructors alike found the game to be preferable to sitting in a classroom listening to, or giving, a PowerPoint presentation. We feel that this use of gaming technology to teach difficult, abstract concepts may be a breakthrough in food science education and help alleviate the drain on administrative budgets from multiple wet labs.