gebhart/patrepeval huggingface dataset:
Fabrication of polyimide bi-stable diaphragms using oxide compressive stresses for the field of ‘Buckle MEMS’ (2010)

In this paper we develop vacuum-actuated polyimide bi-stable actuators using buckled diaphragms for applications in the field of MEMS. The fabrication process involves a single mask step and DRIE etch step to fabricate the buckled bi-stable diaphragms. Compressive stresses in a companion thermal oxide layer provide pre-stress in the polyimide mechanical films that initiates diaphragm buckling upon release. Pressure was used to actuate these polyimide diaphragms from their first stable state to their second stable state, resulting in 'zero electrical power' actuation. The buckling height of the polyimide diaphragms is approximately 7.6 µm with an actuation pressure of 41 kPa, which compares favorably with model predictions assuming effective diaphragm properties for a single layer. These polyimide diaphragms can be used as the fundamental building blocks in micro-pumps, micro-valves, switches and optical devices. Because of their bi-stable nature, they can also be used for applications in mechanical memory storage.
Evolutionary Genomics of Nuclear Receptors: From Twenty-Five Ancestral Genes to Derived Endocrine Systems (2004)

Bilaterian animals are notably characterized by complex endocrine systems. The receptors for many steroids, retinoids, and other hormones belong to the superfamily of nuclear receptors, which are transcription factors regulating many aspects of development and homeostasis. Despite a diversity of regulatory mechanisms and physiological roles, nuclear receptors share a common protein organization. To obtain the broad picture of bilaterian nuclear hormone receptor evolution, we have characterized the complete set of nuclear receptor genes from nine animal genome sequences and analyzed it in a phylogenetic framework. In addition, expressed sequence tags from key lineages with no available genome sequence were also searched. This allows us to date the evolutionary events that led from an ancestral nuclear receptor gene, in an early metazoan, to present day diversity. We show that there were ;25 nuclear receptor genes in Urbilateria, the ancestor of bilaterians, at which point the fundamental diversity of the subfamily was already established. Surprisingly, differential gene loss played an important role in the evolution of different nuclear receptor sets in bilaterian lineages. The nuclear receptor distribution was also shaped by periods of gene duplication, essentially in vertebrates, as well as a lineage-specific duplication burst in nematodes. Our results imply that the genes for major receptors such as steroid receptors or thyroid hormone receptors were present in Urbilateria.
Influence of Number of Twist on Tensile Behavior of High Performance Fiber Reinforced Cementitious Composites with Twisted Steel Fibers (2010)

이 연구는 비틀림 강섬유(T- 섬유) 의 비틀림 횟수가 인발거동과 T- 섬유를 사용한 고성능 섬유보강 시멘트 복합재료의 인장거동에 미치는 영향을 조사하였다. T- 섬유의 여러 인자와 비틀림 횟수가 섬유의 인발거동에 미치는 영향을 해석적으로 조사하고, 최대의 인발에너지를 생성할 수 있는 비틀림 횟수를 조사하였다. 이와 더불어 T- 섬유의 인발시험과 인장시험을 수행하여, 비틀림 횟수가 고인성 섬유보강 시멘트 복합재료의 인장거동에 미치는 영향을 조사하였다. 비틀림 횟수가 6ribs/30 ㎜인 T(L)- 섬유와 비틀림 횟수가 18ribs/30 ㎜인 T(H)- 섬유를 사용하였다. T(H)- 섬유는 인발시험시 섬유의 파단되어, T(L)- 섬유보다 높은 인발응력을 유발했음에도 불구하고 낮은 총 인발에너지를 생성하였다. 이러한 인발 시험서의 결과는 인장 거동에도 분명하게 반영되었다. T(L)- 섬유를 사용한 고인성 섬유보강 시멘트 복합재료의 경우, T(H)- 섬유의 사용시보다, 우수한 변형능력과 에너지 흡수능력, 그리고 미세균열 거동을 보였다.
Network-based pricing for 3D printing services in two-sided manufacturing-as-a-service marketplace (2019)

Purpose This paper presents approaches to determine a network-based pricing for 3D printing services in the context of a two-sided manufacturing-as-a-service marketplace. The purpose of this study is to provide cost analytics to enable service bureaus to better compete in the market by moving away from setting ad hoc and subjective prices. Design/methodology/approach A data mining approach with machine learning methods is used to estimate a price range based on the profile characteristics of 3D printing service suppliers. The model considers factors such as supplier experience, supplier capabilities, customer reviews and ratings from past orders and scale of operations, among others, to estimate a price range for suppliers’ services. Data were gathered from existing marketplace websites, which were then used to train and test the model. Findings The model demonstrates an accuracy of 65 per cent for US-based suppliers and 59 per cent for Europe-based suppliers to classify a supplier’s 3D printer listing in one of the seven price categories. The improvement over baseline accuracy of 25 per cent demonstrates that machine learning-based methods are promising for network-based pricing in manufacturing marketplaces Originality/value Conventional methodologies for pricing services through activity-based costing are inefficient in strategically priced 3-D printing service offering in a connected marketplace. As opposed to arbitrarily determining prices, this work proposes an approach to determine prices through data mining methods to estimate competitive prices. Such tools can be built into online marketplaces to help independent service bureaus to determine service price rates.
Temporal Profiling of the Adipocyte Proteome during Differentiation Using a Five-Plex SILAC Based Strategy (2008)

The adipose tissue has important secretory and endocrine functions in humans. The regulation of adipocyte differentiation has been actively pursued using transcriptomic methods over the last several years. Quantitative proteomics has emerged as a promising approach to obtain temporal profiles of biological processes such as differentiation. Stable isotope labeling with amino acids in cell culture (SILAC) is a simple and robust method for labeling proteins in vivo. Here, we describe the development and application of a five-plex SILAC experiment using four different heavy stable isotopic forms of arginine to study the nuclear proteome and the secretome during the course of adipocyte differentiation. Tandem mass spectrometry analysis using a quadrupole time-of-flight instrument resulted in identification of a total 882 proteins from these two proteomes. Of these proteins, 427 were identified on the basis of one or more arginine-containing peptides that allowed quantitation. In addition to previously reported molecules that are differentially expressed during the process of adipogenesis (e.g., adiponectin and lipoprotein lipase), we identified several proteins whose differential expression during adipocyte differentiation has not been documented previously. For example, THO complex 4, a context-dependent transcriptional activator in the T-cell receptor alpha enhancer complex, showed highest expression at middle stage of adipogenesis, while SNF2 alpha, a chromatin remodeling protein, was downregulated upon initiation of adipogenesis and remained so during subsequent time points. This study using a 5-plex SILAC to investigate dynamics illustrates the power of this approach to identify differentially expressed proteins in a temporal fashion.
ELECTROMAGNETIC FIELDS IN A CIRCULAR WAVEGUIDE CONTAINING CHIRAL NIHILITY METAMATERIAL (2011)

Propagation of electromagnetic flelds and power in a circular waveguide containing chiral nihility metamaterial is studied. Space inside the waveguide is divided into two circular regions. One region contains chiral nihility metamaterial while other region is of free space. Two cases of the waveguide, in this regard, are considered for analysis. For the case of perfect electric conductor (PEC) waveguide, there is no net electric fleld and power propagation in chiral nihility region of the guide whereas both flelds and power exist in non- nihility region (which is free space in our cases) of the guide. For perfect electromagnetic conductor (PEMC) waveguide, both electric and magnetic flelds exist in the chiral nihility and non-nihility regions.
Near-infrared (NIR) up-conversion optogenetics (2015)

Non-invasive remote control technologies designed to manipulate neural functions have been long-awaited for the comprehensive and quantitative understanding of neuronal network in the brain as well as for the therapy of neurological disorders. Recently, it has become possible for the neuronal activity to be optically manipulated using biological photo-reactive molecules such as channelrhodopsin (ChR)-2. However, ChR2 and its relatives are mostly reactive to visible light, which does not effectively penetrate through biological tissues. In contrast, near-infrared (NIR) light (650-1450 nm) penetrates deep into the tissues because biological systems are almost transparent to light within this so-called 'imaging window'. Here we used lanthanide nanoparticles (LNPs), composed of rare-earth elements, as luminous bodies to activate ChRs since they absorb low-energy NIR light to emit high-energy visible light (up-conversion). Here, we created a new type of optogenetic system which consists of the donor LNPs and the acceptor ChRs. The NIR laser irradiation emitted visible light from LNPs, then induced the photo-reactive responses in the near-by cells that expressed ChRs. However, there remains room for large improvements in the energy efficiency of the LNP-ChR system.
Multiuser bit-interleaved coded OFDM with limited feedback information (2006)

In wireless access systems, there has been much interest in enhancing the performance of orthogonal frequency division multiplexing (OFDM) in a frequency selective fading channel. If the channel is static and is perfectly known to both the transmitter and the receiver, the water-filling technique with adaptive modulation is known to be optimal (1). However, for OFDM systems, this requires intensive traffic overheads for reporting channel side information on all subcarriers to the transmitter. In this paper, we propose an adaptive mod- ulation and coding scheme for bit-interleaved coded OFDM (BIC-OFDM) for downlink packet transmissions with reduced feedback information. To minimize the feedback information, we employ a rate adaptation method based on the OFDM symbol rather than on each subcarrier. To illustrate the performance gap between the optimal water-filling and the proposed scheme, we will compare cutoff rates for both schemes. It is shown that the loss is less than 2dB while the proposed scheme significantly reduces the feedback payloads. Also, the OFDM system in multiuser environment with subcarrier grouping is considered. It is shown that by exploiting multiuser diversity the throughput of the proposed scheme approaches the channel outage capacity as the number of users and the number of subcarrier groups increase. I. INTRODUCTION
Model transformation specification for automated formal verification (2011)

The development of model transformations is commonly an ad-hoc activity in MDE. Transformations are engineering artefacts, and can be developed in a disciplined way, like other software artefacts. A model transformation development process can produce transformations expressed in many different styles; transformation patterns can be used to underpin such different properties to be constructed. This paper introduces a systematic approach to development of model transformation specifications that are amenable to automated formal verification of its properties. The paper introduces a process for planning transformation and a language for capturing structural and behavioural characteristics of a model transformation, that supports templates which, when instantiated, automatically produce equivalent formal specification with analysis capabilities. The approach is illustrated with a small example, UML Class to Relational Database transformation, and verification using Alloy.
<i>Chenopodium quinoa</i>: changes in amino acid composition in seed during maturity (1998)

AbstractInvestigation of changes which occur during seed maturity of Chenopodium quinoa showed that relative amounts of total (protein plus free) amino acids, glutamic acid, glycine and arginine increase, whereas aspartic acid, threonine, serine, proline, valine and lysine decrease. The protein amino acids showed only slight variations while free aspartic acid, threonine, serine, proline, leucine decrease considerably as compared to valine, isoleucine and lysine which showed a smaller decrease. The major increase in free glutamic acid, glycine, alanine, tyrosine and histidine was observed from 4th day to maturity.
First year students' expectations of working in culturally diverse small groups at university (2000)

This study explores the expectations held by first year students in the Organisations and Management class at Swinburne University towards working in culturally diverse small groups to complete university assignments. Students were asked to complete a brief questionnaire about their expectations. Hofstede's model of cultural dimensions is used to assist in understanding differences between the cultures of the local Australian students and the overseas Asian students Overall the study found similarities in the responses given by the local Australian and the overseas Asian students to the questions. Generally the students responded positively to the idea of learning about other cultures and working together. Further research is needed to ascertain if these expectations and attitudes change over time at university and if so why.
An Overview of SSR149415, a Selective Nonpeptide Vasopressin V1b Receptor Antagonist for the Treatment of Stress-Related Disorders (2006)

Vasopressin (AVP) and corticotropin-releasing factor (CRF) are key mediators in the organism's neuro-adaptive response to stress. Through pituitary and central vasopressin V(1b) receptors, AVP participates in the control of the hypothalamic-pituitary-adrenal axis (HPA) and is involved in various emotional processes. SSR149415 is the first selective, orally active vasopressin V(1b) receptor antagonist yet described. It is a competitive antagonist with nanomolar affinity for animal and human V(1b) receptors and displays a highly selective profile with regard to a large number of receptors or enzymes. In vitro, SSR149415 potently antagonizes functional cellular events associated with V(1b) receptor activation by AVP, such as intracellular Ca(2+) increase or proliferation in various cell systems. Pharmacological studies, performed by measuring ACTH secretion induced by various stimulants such as hormones (AVP or AVP + CRF) or physical stress (restraint or forced swimming stress and dehydration) in conscious rats or mice, confirm the antagonist profile of SSR149415 and its efficacy in normalizing ACTH secretion in vivo. SSR149415 is active by the oral route, at doses from 3 mg/kg, it potentiates CRF effect and displays a long-lasting oral effect in the different models. At 10 mg/kg p.o. its duration of action is longer than 4 h. This molecule also decreases anxiety and exerts marked antidepressant-like activity in several predictive animal models. The anxiolytic effects of SSR149415 have been demonstrated in various Generalized Anxiety Disorders (GAD) models (four-plate, punished drinking, elevated plus-maze, light dark, mouse defense test battery, fear-potentiated startle and social interaction tests). It is as effective as the benzodiazepine diazepam in the acute stress exposure test. SSR149415 has similar efficacy to the reference antidepressant drug, fluoxetine, in acute (forced-swimming) and chronic (chronic mild stress and subordination stress) situations in rodents. SSR149415 also reduces offensive aggression in the resident-intruder model in mice and hamsters. Depending on the model, the minimal effective doses are in the range of 1-10 mg/kg i.p. or 3-10 mg/kg p.o. SSR149415 is devoid of adverse effects on motor activity, sedation, memory or cognitive functions and produces no tachyphylaxis when administered repeatedly. It is well-tolerated in animals and humans and exhibits an adequate ADME profile. Thus, SSR149415 is a new dual anxiolytic/antidepressant compound, which appears to be free of the known side effects of classical anxiolytic/antidepressant drugs. Clinical trials are in progress, they will hopefully demonstrate its therapeutical potential for treating stress-related disorders.
Analyzing Digital Advertisement Effectiveness using Image Processing Model with Person’s Attentiveness (2021)

In recent days, the revenue generated by different advertising mediums is massive, in particular the revenue generated through digital advertisement is approximately 200 billion dollars worldwide in 2020. The revenue generated from these ads often depends on the watch time of the ad and/or the user involvement in the ad. Number of viewers clicking the skip button is an important statistic that helps to determine the quality of the ad. If the ad is appealing to the viewers, it grabs the user’s interest and attention in the first few seconds to increase the watch time, making the user watch the ad completely. A person is more likely to buy the product or service being advertised if he finds the advertisement interesting. An advertisement should provide an insight into the key aspects of the product which will enable the target customer to decide whether he wants to use the product or service. More viewers are taking control by skipping advertisements they don’t want to see. Hence companies must take actions to ensure that theirs reach the target audience, with the right blend of reach and relevance. Ad effectiveness offers a solution to the companies looking to understand the impact of their ads on the audiences they want to influence. Hence, the effectiveness of the advertisement is very important to sell to the target audience. To aid companies in measuring the effectiveness, a tool/application which detects and analyses people’s attentiveness to the advertisement would be of great help in making advertisements that are engaging and appealing to the general public. In this paper, an image processing model is proposed to implement eye gaze and head pose tracking system, to analyze the person’s attentiveness towards the ad. This proposed approach can be used and analyzed by the advertising industry to determine the effectiveness of their advertisement in selling their product or service to the target audience.
A Pyramidal Neural Network For Visual Pattern Recognition (2007)

In this paper, we propose a new neural architecture for classification of visual patterns that is motivated by the two concepts of image pyramids and local receptive fields. The new architecture, called pyramidal neural network (PyraNet), has a hierarchical structure with two types of processing layers: Pyramidal layers and one-dimensional (1-D) layers. In the new network, nonlinear two-dimensional (2-D) neurons are trained to perform both image feature extraction and dimensionality reduction. We present and analyze five training methods for PyraNet [gradient descent (GD), gradient descent with momentum, resilient back-propagation (RPROP), Polak-Ribiere conjugate gradient (CG), and Levenberg-Marquadrt (LM)] and two choices of error functions [mean-square-error (mse) and cross-entropy (CE)]. In this paper, we apply PyraNet to determine gender from a facial image, and compare its performance on the standard facial recognition technology (FERET) database with three classifiers: The convolutional neural network (NN), the k-nearest neighbor (k-NN), and the support vector machine (SVM).
Blue/green injection lasers and light emitting diodes (1992)

The p doping of molecular-beam epitaxially grown ZnSe by substitutional nitrogen using a plasma cell has enabled the fabrication of pn junction injection electroluminescent devices. The light emitting diode structures, including pulsed laser diodes described here, are grown on GaAs substrates and incorporate multiple quantum well structures as the active gain region. This article discusses optical properties as well as the x-ray and transmission electron microscopy (TEM) characterization of the quantum well device structures. The TEM imaging reveals low dislocation densities in both device configurations.
The eto1, eto2, and eto3 Mutations and Cytokinin Treatment Increase Ethylene Biosynthesis in Arabidopsis by Increasing the Stability of ACS Protein (2020)

The Arabidopsis ethylene-overproducing mutants eto1, eto2, and eto3 have been suggested to affect the post-transcriptional regulation of 1-aminocyclopropane-1-carboxylic acid synthase (ACS). Here, we present the positional cloning of the gene corresponding to the dominant eto3 mutation and show that the eto3 phenotype is the result of a missense mutation within the C-terminal domain of ACS9, which encodes one isoform of the Arabidopsis ACS gene family. This mutation is analogous to the dominant eto2 mutation that affects the C-terminal domain of the highly similar ACS5. Analysis of purified recombinant ACS5 and epitope-tagged ACS5 in transgenic Arabidopsis revealed that eto2 does not increase the specific activity of the enzyme either in vitro or in vivo; rather, it increases the half-life of the protein. In a similar manner, cytokinin treatment increased the stability of ACS5 by a mechanism that is at least partially independent of the eto2 mutation. The eto1 mutation was found to act by increasing the function of ACS5 by stabilizing this protein. These results suggest that an important mechanism by which ethylene biosynthesis is controlled is the regulation of the stability of ACS, mediated at least in part through the C-terminal domain.
Inhibition of Glycine Oxidation by Carboxymethoxylamine, Methoxylamine, and Acethydrazide (1985)

Carboxymethoxylamine (amino-oxyacetate), methoxylamine, and acethydrazide are shown to be effective, although not completely specific, inhibitors of glycine oxidation by the isolated glycine decarboxylase multienzyme complex, mitochondria, protoplasts, and leaf discs from peas. The inhibition probably results from a reaction between these compounds and the pyridoxal 5-phosphate cofactor of the enzyme.
The future of mobile devices:security and mobility (2014)

Mobile computing has transformed the way we work, play and communicate in a very short space of time. Advances in mobile technology and the innovative uses of that technology have contributed to a multitude of social and political effects from new ecommerce enterprises to the London Riots. Alongside these innovations are security concerns which will underpin how we think about and develop mobile technology in the future. This two day workshop comprised of a conceptual discussion and two technical exercises. The conceptual discussion group discussed current trends, future possibilities and how mobile technology will impact our lives over the next 10 years and beyond. The technical groups were given two days to produce a demonstrable attack scenario using mobile technology.
Enhanced Interpretation Of Salt-Related Structures In Abu Dhabi Using Improved Seismic Data Processing And Interpretation Techniques (2014)

Abstract In recent years, advanced and integrated seismic processing and interpretation workflows have been adopted in ADNOC. The application of new processing routines to legacy seismic data has shown to be valuable in improving the quality of the seismic data. This improvement has had a positive impact on our understanding of complex geological settings, in particular in areas where salt movement has had an influence on the structural framework of the field. In this paper, case studies are presented for salt-related structures in Abu Dhabi. Salt structures have been classified into three classes according to their complexity and each of these classes asks for a different type of seismic data volume and a different interpretation workflow. With the help of better reprocessed seismic data and seismic attribute analysis, complex structural uncertainties are better appraised, allowing less operational problems in wells due to drilling through faults and more optimal field development plans.