gebhart/patrepeval huggingface dataset:
Keratin-17 Promotes p27KIP1 Nuclear Export and Degradation and Offers Potential Prognostic Utility (2015)

Keratins that are overexpressed selectively in human carcinomas may offer diagnostic and prognostic utility. In this study, we show that high expression of keratin-17 (K17) predicts poor outcome in patients with cervical cancer, at early or late stages of disease, surpassing in accuracy either tumor staging or loss of p27(KIP1) as a negative prognostic marker in this setting. We investigated the mechanistic basis for the biologic impact of K17 through loss- and gain-of-function experiments in human cervix, breast, and pancreatic cancer cells. Specifically, we determined that K17 functions as an oncoprotein by regulating the subcellular localization and degradation of p27(KIP1). We found that K17 was released from intermediate filaments and translocated into the nucleus via a nuclear localization signal (NLS), specific among keratins, where it bound p27(KIP1) during G1 phase of the cell cycle. p27(KIP1) lacks a nuclear export signal (NES) and requires an adaptor for CRM1 binding for nuclear export. In K17, we defined and validated a leucine-rich NES that mediated CRM1 binding for export. Cervical cancer cells expressing K17 mutations in its NLS or NES signals exhibited an increase in levels of nuclear p27(KIP1), whereas cells expressing wild-type K17 exhibited a depletion in total endogenous p27(KIP1). In clinical specimens of cervical cancer, we confirmed that the expressions of K17 and p27(KIP1) were inversely correlated, both across tumors and within individual tumors. Overall, our findings establish that K17 functions specially among keratins as an oncoprotein by controlling the ability of p27(KIP1) to influence cervical cancer pathogenesis.
Surface Waves – Use Them Then Lose Them (2009)

The coherent noise in seismic data consists mainly of surface waves propagating in the near surface from sources to receivers. The type and properties of surface waves depend on the elastic properties of the shallow subsurface, whose lateral variations an
The coordinated control of motor regenerative braking torques defined by accelerator pedal and brake pedal of electric vehicle (2012)

Driver can operate accelerator pedal and brake pedal to control the driving force and the braking force exerted on vehicle. For electric vehicles, it is possible that the braking force can be controlled by manipulating the accelerator pedal because of the regenerative braking function. In this paper, fuzzy control theory is employed to calculate regenerative braking force during releasing accelerator pedal based on the accelerator pedal opening and its change rate. Two modes are designed to coordinate the braking forces defined by accelerator pedal and brake pedal. One mode is engine braking imitation mode, and the other is auxiliary braking mode. The simulation results show that engine braking imitation mode can provide the similar driving feel to internal combustion engine vehicle. Auxiliary braking mode changes the traditional driving habit, but it has much higher regenerative efficiency. Auxiliary braking mode is suitable for the city driving condition which has frequent braking requirement.
ZPEG: A hybrid DPCM-DCT based approach for compression of Z-stack images (2012)

Modern imaging technology permits obtaining images at varying depths along the thickness, or the Z-axis of the sample being imaged. A stack of multiple such images is called a Z-stack image. The focus capability offered by Z-stack images is critical for many digital pathology applications. A single Z-stack image may result in several hundred gigabytes of data, and needs to be compressed for archival and distribution purposes. Currently, the existing methods for compression of Z-stack images such as JPEG and JPEG 2000 compress each focal plane independently, and do not take advantage of the Z-signal redundancy. It is possible to achieve additional compression efficiency over the existing methods, by exploiting the high Z-signal correlation during image compression. In this paper, we propose a novel algorithm for compression of Z-stack images, which we term as ZPEG. ZPEG extends the popular discrete-cosine transform (DCT) based image encoder to compress Z-stack images. This is achieved by decorrelating the neighboring layers of the Z-stack image using differential pulse-code modulation (DPCM). PSNR measurements, as well as subjective evaluations by experts indicate that ZPEG can encode Z-stack images at a higher quality as compared to JPEG, JPEG 2000 and JP3D at compression ratios below 50∶1.
Clustering Social Event Images Using Kernel Canonical Correlation Analysis (2014)

Sharing user experiences in form of photographs, tweets, text, audio and/or video has become commonplace in social networking websites. Browsing through large collections of social multimedia remains a cumbersome task. It requires a user to initiate textual search query and manually go through a list of resulting images to find relevant information. We propose an automatic clustering algorithm, which, given a large collection of images, groups them into clusters of different events using the image features and related metadata. We formulate this problem as a kernel canonical correlation clustering problem in which data samples from different modalities or 'views' are projected to a space where correlations between the samples projections are maximized. Our approach enables us to learn a semantic representation of potentially uncorrelated feature sets and this representation is clustered to give unique social events. Furthermore, we leverage the rich information associated with each uploaded image (such as usernames, dates/timestamps, etc.) and empirically determine which combination of feature sets yields the best clustering score for a dataset of 100, 000 images.
Ferroelectric phase stabilization of HfO<sub>2</sub> by nitrogen doping (2016)

Abstract We report that nitrogen (N) doping can drive the ferroelectricity of HfO 2 . It was found that N doping can cause the transition from a monoclinic phase to a highly symmetric phase. The role of N doping is discussed from the viewpoints of charge balance and bond-constraining effects. The former is responsible for the structural transformation from a paraelectric phase to a ferroelectric phase by forming an oxygen vacancy. In addition, Hf–N and N–O bonds with covalent characteristics have strong effects on HfO 2 structural and electrical properties, and thus contribute to a marked HfO 2 para-/ferroelectric transition.
Characterization of an amino acid fucoside of normal and SV40-transformed human embryonic lung cells. (1982)

The incorporation of radioisotopically labeled fucose into a prominent fucosylated component, i.e., fucose-labeled amino acid fucoside 4c (FL4c), of human embryonic lung cells is markedly decreased in cell lines derived from human tumors. In the current study, we have extended the above observations by examining more closely related normal and transformed human cells, e.g., Wi38 cells and SV40-transformed Wi38 cells. We have found that the level of radioisotopically labeled fucose incorporated into FL4c of the SV40-transformed human embryonic lung cells is dramatically reduced as compared to their normal counterpart cells. Additionally, we have chemically characterized FL4c. FL4c was purified from monkey tissues using a combination of gel filtration chromatography, ion-exchange chromatography, and preparative thin-layer chromatography. Analysis of this material was accomplished by amino acid analyzer and by gas-liquid chromatography; fucose, glucosamine, and aspartic acid in molar ratios of approximately 1.0:1.0:1.0 were observed. Furthermore, alpha-L-fucosidase treatment of [3H]fucose-labeled FL4c revealed that the fucose was alpha-linked and in a terminal position. Similar treatment of [3H]glucosamine-labeled FL4c yielded a component that cochromatographed with N-acetylglucosaminylasparagine. The combined results of the structural studies are consistent with the structure of FL4c being alpha-fucosyl-N-acetylglucosaminylasparagine.
An update on mouse brain tumor models in cancer drug discovery (2007)

Gliomas and medulloblastomas are the most common primary brain tumors in adults and children, respectively. Although the standard of care for gliomas may have evolved slightly over the last 50 years, the clinical outcome of this disease remains unchanged. Therefore, further research to improve the treatment modalities is urgently needed. An important step forward is the use of genetically and histologically accurate mouse glioma models that mimic the human tumors in their native microenvironment in order to fully understand the biology and mechanistic causes of this disease. Such strategy will help us to identify novel targets for therapies and use these models for preclinical testing.
A novel model for inter-domain QoS management for real-time applications (2003)

The paper proposes a novel model for an inter-domain quality of service (QoS) management architecture consisting of a common open policy services (COPS) based policy control management system, a clearing-house (CH) acting as a policy architecture that regulates the resource allocations to different groups of traffic, an open settlement protocol (OSP) used to negotiate between CHs, and a differentiated service (DiffServ) network with dynamic advanced resource allocation.
Isolation and structural analysis of efficient autonomously replicating sequences (ARSs) of the yeastCandida utilis (2005)

The industrially important yeast Candida utilis is widely used in production of food and medical materials, but its host-vector system has not been well developed. We screened for compact and efficient ARSs to construct practically useful vectors. The C. utilis strain AHU3053 was found to be efficiently transformed by the conventional lithium acetate method and was used as the host. The C. utilis IAM4264 genomic library was constructed by inserting the partial Sau3AI digests in pRI51, which has a kanMX gene expressible in C. utilis. By examining 98 C. utilis G418-resistant transformants, five plasmids had the highest ARS activity. By trimming of the inserts, the 1490 and 552 bp fragments with transformation activity of over 10(3)/microg DNA were obtained from ARS3 and ARS4, respectively. Although several sequences identical to S. cerevisiae ARS consensus sequences (ACSs) were found in ARS3 and ARS4, our deletion analysis indicated that these were not essential for the activity. Because the minimal functional ARS fragment was also several-fold larger than that of S. cerevisiae, the C. utilis ARSs have some unique characteristics resembling the Sz. pombe ARSs. These ARSs were functional in other C. utilis strains tested and useful for constructing practical vectors.
Development and Validation of the International Knee Documentation Committee Subjective Knee Form (2001)

A committee of international knee experts created the International Knee Documentation Committee Subjective Knee Form, which is a knee-specific, rather than a disease-specific, measure of symptoms, function, and sports activity. The purpose of this study was to evaluate the reliability and validity of the new International Knee Documentation Committee Subjective Knee Form. To provide evidence for reliability and validity, we administered the final version of the form, along with the Short Form-36, to 533 patients with a variety of knee problems. Analyses were performed to determine reliability, validity, and differential item function related to age, sex, and diagnosis. Factor analysis revealed a single dominant component, making it reasonable to combine all questions into a single score. Internal consistency and test-retest reliability were 0.92 and 0.95, respectively. Based on test-retest reliability, the value for a true change in the score was 9.0 points. The International Knee Documentation Committee Subjective Knee Form score was related to concurrent measures of physical function (r = 0.47 to 0.66) but not to emotional function (r = 0.16 to 0.26). Analysis of differential item function indicated that the questions functioned similarly for men versus women, young versus old, and for those with different diagnoses. In conclusion, the International Knee Documentation Committee Subjective Knee Form is a reliable and valid knee-specific measure of symptoms, function, and sports activity that is appropriate for patients with a wide variety of knee problems. Use of this instrument will permit comparisons of outcome across groups with different knee problems.
Enhancement of human eosinophil- and neutrophil-mediated killing of schistosomula of Schistosoma mansoni by reversed type (IgE-mediated) anaphylaxis, in vitro. (1985)

Using human peripheral blood leucocytes we have developed a model for studying the effect of in vitro anaphylaxis on granulocyte-mediated killing of helminthic larvae (schistosomula (Sch) of Schistosoma mansoni). Leucocytes were incubated with either an F(ab')2 rabbit anti-human IgE (alpha E) or a control F(ab')2 prepared from non-specific rabbit IgG (alpha Ec). A time-dependent enhancement of eosinophil- and neutrophil-mediated complement (C) or antibody- (Ab) dependent killing of Sch was observed following incubation with alpha E, but not alpha Ec. Optimal enhancement of granulocyte killing was dependent on the concentration of alpha E, pre-incubation of granulocytes with alpha E prior to addition to C coated Sch, as well as the granulocyte: Sch ratio. Baseline killing of Ab and/or C coated Sch by eosinophil rich cells was significantly greater than neutrophil rich suspensions and both were proportionally increased following incubation with alpha E. Enhanced eosinophil and neutrophil killing by alpha E required the presence of mononuclear cells containing basophils, whereas there was no difference in the killing of C or Ab coated Sch when eosinophils or neutrophils alone were incubated with alpha E or alpha Ec. This IgE and leucocyte-dependent model might facilitate the isolation and identification of the pharmacological mediator(s) of hypersensitivity which enhance eosinophil or neutrophil killing of appropriately opsonized helminthic larvae.
Conventional poly-Si gate MOS-transistors with a novel, ultra-thin Hf-oxide layer (2004)

Conventional poly-Si gate MOS transistors with a high-k gate-dielectric were fabricated using a novel, ultra-thin Hf-oxide. Various integration effects on the high-k layer were studied such as Si-surface preparation, deposition conditions, and post-deposition anneals, demonstrating EOT of 1.6 to 1.2 nm and excellent gate leakage current. Promising transistor behaviors were obtained including electron mobility up to 90% of SiO/sub 2/ at both peak and high-field.
Query reformulation for an XML-based data integration system (2006)

The main objective of a mediator-based data integration system is to provide a unified view of several distributed and heterogeneous data sources. This view, called mediation schema, corresponds to a set of elements computed from data available on the local data sources. One of the biggest challenges facing a data integration system consists in answering a user query submitted in terms of the mediation schema given that the data is at the sources. This problem consists mainly in reformulating the query in terms of the source schemas and in integrating the corresponding answers. In this paper we address the problem of query reformulation in the context of an XML-based data integration system. Our solution is based on algorithms that generate a set of source queries considering a given user query and a set of mappings between the mediation schema and the data source schemas.
A real-time ARMA model structure identification method (2002)

The fundamental problem of selecting the order and identifying the time varying parameters of an autoregressive moving average model (ARMA), is one that impacts on many important fields of interest such linear prediction, system identification and spectral analysis. Naturally, it has a long and continuing history and we present an algorithm applicable to on-line/adaptive operation. The method is based on the reformulation of the problem in the standard state space form of the subsequent implementation of a bank of Kalman filters, each fitting a different order model. The problem is reduced then to selecting the true model, using the well known multi-model partitioning theory, for general (not necessarily Gaussian) data PDFs. Furthermore, the method is adaptive, in the sense that it has the ability of tracking successfully changes in the model structure, in real time.
Electron Deficient Molecules. I. The Principles of Hydroboron Structures (1945)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTElectron Deficient Molecules. I. The Principles of Hydroboron StructuresKenneth S. PitzerCite this: J. Am. Chem. Soc. 1945, 67, 7, 1126–1132Publication Date (Print):July 1, 1945Publication History Published online1 May 2002Published inissue 1 July 1945https://doi.org/10.1021/ja01223a026Request reuse permissionsArticle Views284Altmetric-Citations89LEARN 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 InReddit PDF (768 KB) Get e-Alertsclose Get e-Alerts
Salt sensitivity in hypertension. Renal and cardiovascular implications. (1994)

The mechanisms responsible for the increase in blood pressure response to high salt intake in salt-sensitive patients with essential hypertension are complex and only partially understood. A complex interaction between neuroendocrine factors and the kidney may underlie the propensity for such patients to retain salt and develop salt-dependent hypertension. The possible role of vasodilator and natriuretic agents, such as the prostaglandins, endothelium-derived relaxing factor, atrial natriuretic factor, and kinin-kallikrein system, requires further investigation. An association between salt sensitivity and a greater propensity to develop renal failure has been described in certain groups of hypertensive patients, such as blacks, the elderly, and those with diabetes mellitus. Salt-sensitive patients with essential hypertension manifest a deranged renal hemodynamic adaptation to a high dietary salt intake. During a low salt diet, salt-sensitive and salt-resistant patients have similar mean arterial pressure, glomerular filtration rate, effective renal plasma flow, and filtration fraction. On the other hand, during a high salt intake glomerular filtration rate does not change in either group, and effective renal blood flow increases in salt-resistant but decreases in salt-sensitive patients; filtration fraction and glomerular capillary pressure decrease in salt-resistant but increase in salt-sensitive patients. Salt-sensitive patients are also more likely than salt-resistant patients to manifest left ventricular hypertrophy, microalbuminuria, and metabolic abnormalities that may predispose them to cardiovascular diseases. In conclusion, salt sensitivity in hypertension is associated with substantial renal, hemodynamic, and metabolic abnormalities that may enhance the risk of cardiovascular and renal morbidity.
Dynamic Reconstruction (2010)

Dynamic reconstruction is a method for generating images or image sequences from data obtained using moving radiation detection systems. While coded apertures are used as examples of the underlying information collection modality, the dynamic reconstruction method itself is more widely applicable. Dynamic reconstruction provides for recovery of depth, and has sensitivity that drops off with the inverse of distance rather than the inverse square of distance. Examples of dynamic reconstructions of moving isotopic area sources are shown, as well as dynamic reconstructions of moving objects imaged using backscattered X-rays.
Variability aware yield optimal sizing of analog circuits using SVM-genetic approach (2010)

During analog circuit synthesis in nanometer technology, process variability analysis is mandatory during design space exploration. This would ensure that the circuit will function as per specifications after fabrication even with impact of statistical variations in nanometer regimes. The methodology necessitates the evaluation of performance metrics of an analog circuit for different sizing instances of the transistors. Circuit simulation for performance evaluation is very time consuming and is seldom a choice while sizing a circuit for a chosen topology. The complexity of sizing methodology increases with the need to consider effects of variations in process and environment parameters. We employ macromodeling approach for analog circuits based on support vector machine (SVM), which enables efficient evaluation of performance of such circuits during sizing and yield optimization loops. The objective to improve evaluation efficiency has been the motivation behind efforts to develop performance macromodels, which should be as accurate as SPICE and at the same time have shorter evaluation time for use in the sizing of analog circuits, where they are used as substitutes for full circuit simulation during circuit sizing (synthesis). Process variability aware SVM macromodels are used in the multiobjective multivariate sizing method which is also yield optimal. Post design centering, the sized circuits will be able to provide functions as per specifications upon fabrication. Its application as process variability analysis tool is illustrated on two stage op amp and a voltage controlled oscillator using 90 nm BSIM4 models of transistors.
Linear-scaling source-sink algorithm for simulating time-resolved quantum transport and superconductivity (2016)

We report on a ``source-sink'' algorithm which allows one to calculate time-resolved physical quantities from a general nanoelectronic quantum system (described by an arbitrary time-dependent quadratic Hamiltonian) connected to infinite electrodes. Although mathematically equivalent to the nonequilibrium Green's function formalism, the approach is based on the scattering wave functions of the system. It amounts to solving a set of generalized Schr\"odinger equations that include an additional ``source'' term (coming from the time-dependent perturbation) and an absorbing ``sink'' term (the electrodes). The algorithm execution time scales linearly with both system size and simulation time, allowing one to simulate large systems (currently around ${10}^{6}$ degrees of freedom) and/or large times (currently around ${10}^{5}$ times the smallest time scale of the system). As an application we calculate the current-voltage characteristics of a Josephson junction for both short and long junctions, and recover the multiple Andreev reflection physics. We also discuss two intrinsically time-dependent situations: the relaxation time of a Josephson junction after a quench of the voltage bias, and the propagation of voltage pulses through a Josephson junction. In the case of a ballistic, long Josephson junction, we predict that a fast voltage pulse creates an oscillatory current whose frequency is controlled by the Thouless energy of the normal part. A similar effect is found for short junctions; a voltage pulse produces an oscillating current which, in the absence of electromagnetic environment, does not relax.