gebhart/patrepeval huggingface dataset:
Correlation of visual function with health‐related quality of life in glaucoma patients (2009)

A combination of demographic data, clinical examination and QOL questionnaires may help clinicians better ascertain the impact of disease severity on glaucoma patients' QOL. This information may help in patient education, treatment compliance and selection of treatment options.
Joint Angle Measurement Using MEMs Based Inertial Sensors for Biped Robot (2018)

The implementation and efficacy of closed loop systems in machines with moving limbs/parts is largely dependent upon the feedback systems that measure the extent of motion - linear or rotational. This paper proposes a novel technique for measurement of joint angles and thus rotational motion for links pivoted at a powered/non-powered joint, using low-cost inertial sensors. The paper proposes the substitution of noisy, inefficient and poor resolution mechanical sensors like optical or pulse encoders with tri-axial accelerometers and tri-axial gyroscope fused in low-cost Inertial Measurement Units(IMUs). This technique is used to measure the angles between the various joints of a bipedal robot and estimate its complete orientation in three dimensional space. The crux of this paper is utilizing the extended capabilities of the inertial sensors in joint angle estimation for closed loop operation of a twelve-Degree Of Freedom(DOF) lower body biped robot with potential implementation on stable bent knee walking on flat surfaces. All the joints of the biped are revolute and facilitate rotation of various limbs like thigh, shin and foot, analogous to a human leg. All links have IMUs mounted on them for the proposed task.
Multi-azimuth 3D provides robust improvements in Nile Delta seismic imaging (2007)

Since gas was first discovered in the Nile Delta in the late 60s, most exploration programmes have focussed on shallow Pliocene reservoirs, where gas can clearly be seen as bright events on excellent quality seismic data and where exploration success has been very high. The petroleum geology of the deeper pre-Pliocene section is fundamentally no different to that seen in the Pliocene, where potential reservoirs consist of sand prone channel systems originating from the Nile. Why then, have we been deterred from exploring in the deeper section? The problem is two fold: 1. Deeper burial and harder rocks mean that reservoir sands and hydrocarbons will be less visible on our seismic data. 2. Pre-Pliocene seismic quality is highly variable and often very poor. (Figure 1) Poor imaging being the result of wavefield distortion though the Messinian anhydrite layer, attenuation, and the presence of complex multiple diffraction noise.
Selective Modulation Interferometric Spectrometer (SIMS) Technique Applied To Background Suppression (1979)

A method of using the SIMS (the Selective Modulation Interferometric Spectrometer) to measure the difference between the spectral content of two optical beams is given. The differencing is done optically; that is, the modulated detector signal is directly proportional to the difference between the two spectra being compared. This optical differencing minimizes the dynamic-range requirements of the electronics and requires only a simple modification of the basic cyclic SIMS spectrometer. This technique can be used to suppress background radiation for the enhancement of target detection and tracking. Laboratory measurements demonstrating the application of this technique are reported.
Development of New Method for Molecular Biology Using the Photophore, Diazirine (2008)

Formation of a covalent bond using photoreactive groups allows one to maintain the complex between the ligand and its binding protein even under denaturing conditions. Thus, the photoreactive groups functioned as the powerful hook in the fishing of specific binding proteins. This is a very useful feature for developing the efficient and sensitive methods in molecular biology. Among the photoreactive groups, carbene-generating phenyldiazirine is a first choice for the application to the methods because the use of phenyldiazirine seems to be promising for achieving efficient crosslinking. This review describes improvements of phenyldiazirine usability and an application of phenyldiazirine to displayed phage screening. We synthesized the photoreactive diazirine units for a solution to preparing photoreactive ligands. Since the photoreactive units can be easily integrated into physiological ligands such as peptides, proteins, DNAs, and sugars by chemoselective reaction, the biochemists, who are not familiar with organic synthesis, can prepare the photoaffinity ligands using their interested ligands. We applied the phenyldiazirine to screening of displayed phages, and investigated the screening efficiency. The phages displayed specific-binding protein were extremely concentrated by using photoreactive peptide bearing diazirine. High efficiency in the screening is due to carry out intensive washing which removes almost all the unspecific binding phages. Moreover, such application overcomes the unavoidable drawback of photoreactive groups, the low efficiency of crosslinking because the isolated genes can be amplified.
Mapping the Structure–Property Space of Bimodal Polyethylenes Using Response Surface Methods. Part 1: Digital Data Investigation (2018)

Abstract A new method is proposed to study the multidimensional structure–property space of bimodal ethylene/1‐olefin copolymers using fundamental polymerization models and response surface methods. The fundamental polymerization models describe how the polymer microstructure depends on polymerization conditions, in particular how the short chain branching frequency varies across the molecular weight distribution. Statistical design of experiment techniques combined with response surface methods generates the minimum number of digital experiments needed to estimate the parameters for a forward model. The polymer microstructural data are combined with empirical equations to calculate polymer density and the primary structural parameter to quantify the presence of tie molecules in the polymer. This procedure links polymerization conditions to polymer microstructure and properties using the forward model. More importantly, the forward model can be reversed to determine which polymerization conditions are needed to make polymers with a given set of properties.
Radioactive ruthenium red accumulation by tumors: a potential scanning agent. (1975)

The distribution of 103-Ru-Ruthenium red in tumour bearing animals indicates that Ruthenium red labelled with radioruthenium shows the characteristics of a tumour scanning agent. Its accumulation seems to be related to its specific binding to mucopolysaccharides. In addition, this radiocompound shows a potential value in the study of other pathological states involving the metabolism of mucopolysaccharides and glycoproteins.
Bitwise Competition Logic for compact digital comparator (2007)

In this paper, we present a Bitwise Competition Logic (BCL) for the high performance and area efficient digital comparator. It compares two integer numbers using the location of the first 1 from the MSB, without arithmetic computations. The detail circuits to implement BCL, pre-encoder and selection logics are explained. The implemented BCL comparator shows 16%, 38% and 30% improved result in propagation delay, transistor count, and physical area compared to the other types of comparators. Measurement waveforms of fabricated BCL comparator verify its feasibility and functionality.
Strategic Knowledge Mapping: The Co-Creation of Useful Knowledge (2015)

Strategic planning typically involves conducting research and setting objectives. It is a difficult and expensive process with no guarantee of success. Recent research shows that managers with more “structured” knowledge will be more successful. Using Integrative Propositional Analysis (IPA) we can objectively determine the potential usefulness of a Strategic Knowledge Map (SKM). Creating an effective SKM is a precursor to more easily creating a more effective strategic plan. The present game is focused on players co-creating an SKM. Their play is scored in such a way that they will receive more points for creating a more structured map. The resulting map may be easily used in the “real world” to support dialog, decision making, and the creation of specific objectives for strategic plans. The game is unorthodox. It is not a simulation where play begins with a pre-set “world.” Similarly, the game is not educational in the traditional sense where players attempt to acquire or test knowledge using an existing database. Instead, ASK MATT is a model-building game where knowledge is co-created within the game by the players. Further, the game goes beyond finding “insights;” instead, the results of the game may be directly applied as a guide to real world situations. In the present paper, we explore the background, difficulties, and opportunities for improving strategic planning and policy planning using strategic knowledge mapping from a systemic perspective. We explain the play of the game, its scoring, anticipated outcomes, our experiences playtesting the game with small groups, plans for playtesting with larger groups, and opportunities for developing a version of the game that may be played online and/or as an APP.
The Curriculum Jigsaw: - studying business@CSU: piecing it together, making it relevant, making it fit ... in a one day orientation! (2011)

Twenty four subjects make up the Business degree but how do they Ã¢Â€Â˜fitÃ¢Â€Â™ together? Why have we chosen these 24 subjects? Is there a curriculum Ã¢Â€Â˜story-lineÃ¢Â€Â™ or design that brings it all together? The curriculum is the glue to academic and social success, particularly in the first year. The one day orientation to studying business@CSU, during Orientation Week, is one initiative to introduce an integrated approach to studying business. The aim is to have students gain an understanding of core business disciplines and how they interact and impact on each other as well as giving the new students an opportunity to meet each other and work in small groups.
Metabolic clusters of breast cancer in relation to gene- and protein expression subtypes (2016)

The heterogeneous biology of breast cancer leads to high diversity in prognosis and response to treatment, even for patients with similar clinical diagnosis, histology, and stage of disease. Identifying mechanisms contributing to this heterogeneity may reveal new cancer targets or clinically relevant subgroups for treatment stratification. In this study, we have merged metabolite, protein, and gene expression data from breast cancer patients to examine the heterogeneity at a molecular level. The study included primary tumor samples from 228 non-treated breast cancer patients. High-resolution magic-angle spinning magnetic resonance spectroscopy (HR MAS MRS) was performed to extract the tumors metabolic profiles further used for hierarchical cluster analysis resulting in three significantly different metabolic clusters (Mc1, Mc2, and Mc3). The clusters were further combined with gene and protein expression data. Our result revealed distinct differences in the metabolic profile of the three metabolic clusters. Among the most interesting differences, Mc1 had the highest levels of glycerophosphocholine (GPC) and phosphocholine (PCho), Mc2 had the highest levels of glucose, and Mc3 had the highest levels of lactate and alanine. Integrated pathway analysis of metabolite and gene expression data uncovered differences in glycolysis/gluconeogenesis and glycerophospholipid metabolism between the clusters. All three clusters had significant differences in the distribution of protein subtypes classified by the expression of breast cancer-related proteins. Genes related to collagens and extracellular matrix were downregulated in Mc1 and consequently upregulated in Mc2 and Mc3, underpinning the differences in protein subtypes within the metabolic clusters. Genetic subtypes were evenly distributed among the three metabolic clusters and could therefore contribute to additional explanation of breast cancer heterogeneity. Three naturally occurring metabolic clusters of breast cancer were detected among primary tumors from non-treated breast cancer patients. The clusters expressed differences in breast cancer-related protein as well as genes related to extracellular matrix and metabolic pathways known to be aberrant in cancer. Analyses of metabolic activity combined with gene and protein expression provide new information about the heterogeneity of breast tumors and, importantly, the metabolic differences infer that the clusters may be susceptible to different metabolically targeted drugs.
Memory-Based Grammatical Relation Finding (2002)

Chapter 5 systematically tries to improve performance and/or speed and memory requirements by deleting superfluous features and adding useful new ones and by try
Index based mapping of high risk behaviours for HIV among female sex workers in India (2012)

Background & objectives: Integrated Behavioral and Biological Assessment (IBBA) study is the first cross-sectional survey to study large number of covariates of HIV/STI (sexually transmitted infection) in India. Generally, districts are identified as of HIV high or low based on its prevalence. Instead, it would be optimal to label the districts based on several high-risk related covariates in the concurrent set up. The objectives of the present study were to obtain an index for each district, to discover 'natural' clusters and a map with Kriged estimates. Methods: The study population consisted of 10461 female sex workers (FSWs) from 29 sites spread over 24 districts from five HIV high prevalent States. Covariates based on demographic characteristics, sexual practices, knowledge of HIV/STI and biological variables were studied. The analyses were done on weighted estimates based on principal component analysis, cluster analysis and Kriging technique. Five factors were extracted and improved using varimax rotation and standardized factor scores obtained. Natural clusters in a multivariate setting were identified. Each district was expressed as geographic co-ordinates and using the standardized scores the Kriged estimates were obtained. Results: The proxy determinants were 'never used a condom', 'wanted to use a condom but did not use', 'experience of condom breakage' and 'current STI that needs a doctor'. Dimapur district stood first rank demanding the greatest attention. The cluster analysis branded Dimapur, Warangal, Prakasam, and Chittoor districts as a cluster, which required greatest attention and kriged estimates showed the high-risk concentrated regions as Andhra Pradesh, Maharashtra and northeast region. Interpretation & conclusions: The results of this study may help the programme officials and policy managers to concentrate on the key factors, and districts/regions, which need greater attention in the order of priority.
Detection and tracking of objects in underwater video (2004)

For oceanographic research, remotely operated underwater vehicles (ROVs) routinely record several hours of video material each day. Manual processing of such large amounts of video has become a major bottleneck for scientific research based on this data. We have developed an automated system that detects and tracks objects that are of potential interest for human video annotators. By pre-selecting salient targets for track initiation using a selective attention algorithm, we reduce the complexity of multi-target tracking, in particular of the assignment problem. Detection of low-contrast translucent targets is difficult due to variable lighting conditions and the presence of ubiquitous noise from high-contrast organic debris ("marine snow") particles. We describe the methods we developed to overcome these issues and report our results of processing ROV video data.
Electrochemical oxidation of polycyclic cyclopropanes and camphene. Novel synthesis of exo-5,5-dimethyl-6-methylenebicyclo[2.2.1]heptan-2-ol (nojigiku alcohol) (1990)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTElectrochemical oxidation of polycyclic cyclopropanes and camphene. Novel synthesis of exo-5,5-dimethyl-6-methylenebicyclo[2.2.1]heptan-2-ol (nojigiku alcohol)Toshikazu Uchida, Yoshiharu Matsubara, Ikuzo Nishiguchi, Tsuneaki Hirashima, Takashi Ohnishi, and Koichi KanehiraCite this: J. Org. Chem. 1990, 55, 9, 2938–2943Publication Date (Print):April 1, 1990Publication History Published online1 May 2002Published inissue 1 April 1990https://pubs.acs.org/doi/10.1021/jo00296a069https://doi.org/10.1021/jo00296a069research-articleACS PublicationsRequest reuse permissionsArticle Views218Altmetric-Citations12LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail Other access optionsGet e-Alertsclose Get e-Alerts
Identification of Novel Isoforms of the <i>EML4-ALK</i> Transforming Gene in Non–Small Cell Lung Cancer (2008)

The genome of a subset of non-small-cell lung cancers (NSCLC) harbors a small inversion within chromosome 2 that gives rise to a transforming fusion gene, EML4-ALK, which encodes an activated protein tyrosine kinase. Although breakpoints within EML4 have been identified in introns 13 and 20, giving rise to variants 1 and 2, respectively, of EML4-ALK, it has remained unclear whether other isoforms of the fusion gene are present in NSCLC cells. We have now screened NSCLC specimens for other in-frame fusion cDNAs that contain both EML4 and ALK sequences. Two slightly different fusion cDNAs in which exon 6 of EML4 was joined to exon 20 of ALK were each identified in two individuals of the cohort. Whereas one cDNA contained only exons 1 to 6 of EML4 (variant 3a), the other also contained an additional 33-bp sequence derived from intron 6 of EML4 (variant 3b). The protein encoded by the latter cDNA thus contained an insertion of 11 amino acids between the EML4 and ALK sequences of that encoded by the former. Both variants 3a and 3b of EML4-ALK exhibited marked transforming activity in vitro as well as oncogenic activity in vivo. A lung cancer cell line expressing endogenous variant 3 of EML4-ALK underwent cell death on exposure to a specific inhibitor of ALK catalytic activity. These data increase the frequency of EML4-ALK-positive NSCLC tumors and bolster the clinical relevance of this oncogenic kinase.
Total valence-band densities of states of III-V and II-VI compounds from x-ray photoemission spectroscopy (1974)

A comprehensive survey of the total valence-band x-ray-photoemission spectra of 14 semiconductors is reported. The x-ray photoelectron spectra of cubic GaP, GaAs, GaSb, InP, InAs, InSb, ZnS, ZnSe, ZnTe, CdTe, and HgTe, and of hexagonal ZnO, CdS, and CdSe were obtained from freshly cleaved single crystals, in the 0-50-eV binding-energy range, using monochromatized $\mathrm{Al} K\ensuremath{\alpha}$ (1486.6 eV) radiation. The binding energies of the outermost $d$ shells are reported. They were determined relative both to the top of the valence bands (${E}_{B}^{V}$) and to the Fermi level of a thin layer of gold that was vapor deposited after each run (${E}_{B}^{F}$). These data also yielded accurate measures of sample charging. The Fermi level fell near the center of the gap for six samples, near the top for two, and near the bottom for three. Evidence for an apparent increase in core $d$-level spin-orbit splitting over free-atom values was interpreted as a possible spreading of a ${\ensuremath{\Gamma}}_{7}$ and a ${\ensuremath{\Gamma}}_{8}$ level from the upper $({d}_{\frac{3}{2}}) {\ensuremath{\Gamma}}_{8}$ level by a tetrahedral crystal field. The $s$, $p$ valence-band spectra showed three main peaks, with considerable structure on the "least-bound" peak. A discussion is given of the validity of comparing the valence-band (VB) spectrum ${I}^{\ensuremath{'}}(E)$ with the VB density of states, including cross-section modulation, final-state modulation, and relaxation effects. Characteristic binding energies of spectral features in ${I}^{\ensuremath{'}}(E)$ are tabulated. In addition, the energies of the characteristic symmetry points ${L}_{3}$, ${X}_{5}$, ${W}_{2}$, ${\ensuremath{\Sigma}}_{1}^{min}$, ${W}_{1}$, ${X}_{3}({L}_{1})$, ${X}_{1}$, ${L}_{1}$, and ${\ensuremath{\Gamma}}_{1}$ are given for the 11 cubic compounds. These are compared with UPS results where available and with theoretical band-structure results where available. The energies calculated using the relativistic-orthogonalized-plane-wave approach with ${X}_{\ensuremath{\alpha}\ensuremath{\beta}}$ exchange agree very well with experiment, on the whole. In particular, they predict the important "ionicity gap" ${X}_{3}\ensuremath{-}{X}_{1}$ quite accurately. The densities of states calculated using the empirical-psuedopotential method provided a useful basis for relating features in ${I}^{\ensuremath{'}}(E)$ to energies of the characteristic symmetry points. Band-structure calculations in combination with x-ray-photoemission spectra appear to provide a very powerful approach to establishing the total valence-band structure of semiconductors.
Self-deployment and self-configuration of pervasive network services (2004)

In this paper, we present a policy-based approach to achieve self-deployment and self-configuration of pervasive systems and services. In our approach, we decompose applications into a set of interconnected components. With each component, we specify the autonomic attributes required to self-configure and self-manage the operations of the components in Autonomic Component Architecture (ACA) such that the overall objectives of the applications are maintained at runtime. We use the self-deployment and configuration engines of our Autonomic Computing Environment, Autonomia, to demonstrate and validate our approach. We have demonstrated how Autonomia to automatically deploy and configure the distributed computing application of Linear Equation Solver.
Autophagy Inhibition Improves Chemosensitivity in BRAFV600E Brain Tumors (2014)

Autophagy inhibition may improve cancer therapy, but it is unclear which tumors will benefit. We found that BRAF mutations cause brain tumor cells to depend on autophagy and display selective chemosensitization with autophagy inhibition. We present a pediatric case in which deliberate autophagy inhibition halted tumor growth and overcame acquired BRAF-inhibition resistance.