gebhart/patrepeval huggingface dataset:
A Model-Based Brake Pressure Estimation Strategy for Traction Control System (2001)

<div class="htmlview paragraph">This paper presents a brake pressure estimation algorithm for Delphi Traction Control Systems (TCS). A control oriented lumped parameter model of a brake control system is developed using Matlab/Simulink. The model is derived based on a typical brake system and is generic to other types of brake control hardware systems. For application purposes, the model is simplified to capture the dominant dynamic brake pressure response. Vehicle experimental data collected under various scenarios are used to validate the algorithm. Simulation results show that the algorithm gives accurate pressure estimation. In addition, the calibration procedure is greatly simplified</div>
A Stateful Approach to Spyware Detection and Removal (2006)

Spyware, a type of potentially unwanted programs (PUPs), has become a significant threat to most Internet users as it introduces serious privacy disclosure and potential security breach to the systems. Current anti-spyware tools use signatures to detect spyware programs. Over time, spyware programs have grown more resilient to this technique; they utilize critical areas of the system to survive reboots and set up mini-installers that re-install a spyware program after it's been detected and removed. Since existing anti-spyware tools are stateless in the sense that they do not remember and monitor the spyware programs that were removed, they fail to permanently remove these self-healing spyware programs. This paper proposes STARS (stateful threat-aware removal system): a tool that at run time intercepts critical system accesses and assures removed spyware does not re-install itself after a successful removal of spyware program in the system. If a re-installation (self-healing) is detected, STARS infers the source of such activities and discovers additional "suspicious" programs. Experimental results show that STARS is effective in removing self-healing spyware programs that existing anti-spyware tools fail to do
A Pipelined Hardware Architecture of an H.264 Deblocking Filter with an Efficient Data Distribution (2006)

Abstract?In order to reduce blocking artifacts and improve compression efficiency, H.264/AVC standard employs an adaptive in-loop deblocking filter. This paper proposes a new hardware architecture of the deblocking filter that employs a four-stage pipelined structure with an efficient data distribution. The proposed architecture allows a simultaneous supply of eight data samples to fully utilize the pipelined filter in both horizontal and vertical filterings. This paper also presents a new filtering order and data reuse scheme between consecutive macroblock filterings to reduce the communication for external memory access. The number of required cycles for filtering one macroblock (MB) is 357 cycles when the proposed filter uses dual port SRAMs. This execution speed is only 41.3% of that of the fastest previous work.
Substrate Specificity and Cell Cycle Regulation of the Nek2 Protein Kinase, a Potential Human Homolog of the Mitotic Regulator NIMA of Aspergillus nidulans (1995)

The human Nek2 protein kinase is the closest known mammalian relative of the mitotic regulator NIMA of Aspergillus nidulans. The two kinases share 47% sequence identity over their catalytic domains and display a similar cell cycle-dependent expression peaking at the G2 to M phase transition. Hence, it is attractive to speculate that human Nek2 and fungal NIMA may carry out similar functions at the onset of mitosis. To study the biochemical properties and substrate specificity of human Nek2 and compare them to those reported previously for other NIMA-related protein kinases, we have expressed Nek2 in insect cells. We show that recombinant Nek2 is active as a serine/threonine-specific protein kinase and may undergo autophosphorylation. Both human Nek2 and fungal NIMA phosphorylate a similar, albeit not identical, set of proteins and synthetic peptides, and beta-casein was found to be a suitable substrate for assaying Nek2 in vitro. By exploiting these findings, we have studied the cell cycle regulation of Nek2 activity in HeLa cells. We show that Nek2 activity parallels its abundance, being low during M and G1 but high during S and G2 phase. Taken together, our results suggest that human Nek2 resembles fungal NIMA in its primary structure, cell cycle regulation of expression, and substrate specificity, but that Nek2 may function earlier in the cell cycle than NIMA.
PROTEIN MODELLING OF THE GENES OF ARTHRITIS: A REVIEW (2020)

Arthritis is a medical condition which causes painful inflammation and stiffness of the joints. Apart from joints, tendons, ligaments, bones and muscles are also seen to be affected. In this study we are mainly focussing on the genes causing Rheumatoid arthritis (RA) and gout. Rheumatoid arthritis is one of the most common types of autoimmune arthritis affecting the joints of hands and feet. On the other hand, gout is caused by accumulation of crystals in the joints. The list of genes that could cause arthritis was obtained from review of literature. This was followed by acquiring information about the protein structure with the help of RCSB PDB (PDB-101). SNPs for the protein without the structure were recovered through the SNP database (dbSNP) from the NCBI page. For them, the structure was predicted using I-TASSER software which is one of the most common approaches to protein structure and function prediction. Through the literature review 53 genes affecting RA were found. There 19 of them which were further checked for single nucleotide variation and protein structure prediction. Through our study we have modelled the protein for the genes without a structure which could be used to find binding affinity against active compounds of plants. This would help in drug discovery through target inhibition.
Inhibition of Drp1 mitochondrial translocation provides neural protection in dopaminergic system in a Parkinson’s disease model induced by MPTP (2016)

Accumulating evidence suggest mitochondria-mediated pathways play an important role in dopaminergic neuronal cell death in Parkinson's disease (PD). Drp1, a key regulator of mitochondrial fission, has been shown to be activated and translocated to mitochondria under stress, leading to excessive mitochondria fission and dopaminergic neuronal death in vitro. However, whether Drp1 inhibition can lead to long term stable preservation of dopaminergic neurons in PD-related mouse models remains unknown. In this study, using a classical MPTP animal PD model, we showed for the first time Drp1 activation and mitochondrial translocation in vivo after MPTP administration. Inhibition of Drp1 activation by a selective peptide inhibitor P110, blocked MPTP-induced Drp1 mitochondrial translocation and attenuated dopaminergic neuronal loss, dopaminergic nerve terminal damage and behavioral deficits caused by MPTP. MPTP-induced microglial activation and astrogliosis were not affected by P110 treatment. Instead, inhibition of Drp1 mitochondrial translocation diminished MPTP-induced p53, BAX and PUMA mitochondrial translocation. This study demonstrates that inhibition of Drp1 hyperactivation by a Drp1 peptide inhibitor P110 is neuroprotective in a MPTP animal model. Our data also suggest that the protective effects of P110 treatment might be mediated by inhibiting the p53 mediated apoptotic pathways in neurons through inhibition of Drp1-dependent p53 mitochondrial translocation.
Fractionation of Soybean Proteins by Gel Filtration (1963)

Journal Article Fractionation of Soybean Proteins by Gel Filtration Get access Kiyozo Hasegawa, Kiyozo Hasegawa Laboratory of Nutritional Chemistry, Department of Agricultural Chemistry, Faculty of Agriculture, Kyoto University, Kyoto Search for other works by this author on: Oxford Academic Google Scholar Takanori Kusano, Takanori Kusano Laboratory of Nutritional Chemistry, Department of Agricultural Chemistry, Faculty of Agriculture, Kyoto University, Kyoto Search for other works by this author on: Oxford Academic Google Scholar Hisateru Mitsuda Hisateru Mitsuda Laboratory of Nutritional Chemistry, Department of Agricultural Chemistry, Faculty of Agriculture, Kyoto University, Kyoto Search for other works by this author on: Oxford Academic Google Scholar Agricultural and Biological Chemistry, Volume 27, Issue 12, 1 December 1963, Pages 878–880, https://doi.org/10.1080/00021369.1963.10858195 Published: 01 December 1963 Article history Received: 10 October 1963 Published: 01 December 1963
Dehydrated circular DNA: Circular dichroism of molecules in ethanolic solutions (1978)

Abstract We have measured the ultraviolet CD spectra for covalently closed and linear forms of phage PM2 DNA in solution. We find that increased concentrations of salt or ethanol (up to 50% ethanol by weight) depress the long‐wavelength positive CD bands in the spectra of both forms of DNA, although the spectrum of the native covalently closed DNA always has a slightly larger magnitude of these bands than does the spectrum of the linear DNA. In addition, both DNAs are equally capable of undergoing a transition to the A conformation in 70–80% ethanol at low Na + concentrations. Thus, the constraint imposed by the covalent closure of a DNA molecule does not seem to hinder its conformational response to these changing solution conditions. Lang [(1973) J. Mol. Biol. 78 , 247–254] has found by electron microscopy that T7 DNA has an inherent ability to condense into compact particles, suggested to be supercoils of multiple order. Both covalently closed and linear forms of PM2 DNA also become condensed when the DNA, in 0.2 M ammonium acetate and 1 m M EDTA, is exposed to ethanol and subsequent drying on specimen grids [Lang, D., Taylor, T. N., Dobyan, D. C. & Gray, D. M. (1976) J. Mol. Biol. 106 , 97–107]. Under similar conditions, in solutions of 0.2 M ammonium acetate and 1 m M EDTA to which ethanol is added, we have measured the CD spectra of both covalently closed and linear forms of DNA. Below ethanol concentrations at which the DNA obviously precipitates, the CD spectra of both forms have reduced long‐wavelength positive CD bands.
Attrition resistant microporous particles by spray drying (1988)

Industrial powders made of grains in the micron size range are often used in processes that require high attrition resistance. Good examples of such powders are catalysts for fluid bed processes which are generally made of ca. 45 to ca. 150 or 200 {mu}m porous grains, hereby referred to as porous micrograins or, if they are spheroidal, porous microspheres (PMS). A conventional approach to impart attrition resistance to a catalyst grain is to embed small particles of the active catalyst in a continuous framework or skeleton made of a hard and relatively inert material. In this case, the percentage of hard materials required to impart sufficient attrition resistance to the catalyst composite particle is so high ({approximately} 50%) that it may affect the activity and/or the selectivity of the catalyst.
Preharvest prevention of regreening in Valencia oranges [Citrus sinensis (L.) Osbeck] (1989)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTPreharvest prevention of regreening in Valencia oranges [Citrus sinensis (L.) Osbeck]Wan Jean Hsu, Charles DeBenedict, Steve D. Lee, Stephen M. Poling, and Henry YokoyamaCite this: J. Agric. Food Chem. 1989, 37, 1, 12–14Publication Date (Print):January 1, 1989Publication History Published online1 May 2002Published inissue 1 January 1989https://pubs.acs.org/doi/10.1021/jf00085a003https://doi.org/10.1021/jf00085a003research-articleACS PublicationsRequest reuse permissionsArticle Views106Altmetric-Citations5LEARN 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
Using diffusive gradients in thin films to probe the kinetics of metal interaction with algal exudates (2011)

Environmental context Interaction of metals with dissolved organic matter is one of the key processes defining metal bioavailability in water. The technique of diffusive gradients in thin films was used to investigate the kinetics of the interaction between metals and dissolved organic matter released by algae. For most metals the rate at which they were released from the organic matter was fast, but release of iron was kinetically limited. Abstract The interaction of metals with organic matter is one of the key processes determining metal speciation and bioavailability in water. Fulvic acid tends to dominate dissolved organic carbon (DOC) in freshwaters, but organic carbon produced in situ, e.g. exudates released by algae and bacteria, is also significant. The technique of diffusive gradients in thin films (DGT) was used to investigate the lability of metal–exudate complexes using a kinetic signature approach. Exudates were harvested from three cultured freshwater alga (Chlorella vulgaris, Cryptomonas pyrenoidifera, Anabaena flos-aquae) and the filtered media supplemented with trace metals. DGT-labile metal concentrations and kinetic signatures were determined (24-h deployment). The relationship between Fe and DOC was a defining feature of the kinetic signatures. Iron was the most kinetically limited metal followed by Al and Cu, whereas Co, Ni and Pb were effectively completely labile. Exudates from Chlorella vulgaris produced the most DOC and the most marked kinetic limitation.
Continuous magnetophoretic separation of blood cells in microdevice format (2004)

This paper presents a method for continuous magnetophoretic separation of red and white blood cells from whole blood based on their native magnetic properties. The microsystem separates the blood cells using a high gradient magnetic separation method without the use of additives such as magnetic tagging or inducing agents. A theoretical model of the magnetophoretic microseparator is derived and verified by comparison with finite element simulation. The microseparator is fabricated using microfabrication technology, enabling the integration of microscale magnetic flux concentrators in an aqueous microenvironment, providing strong magnetic forces, and fast separations. Experimental tests are performed using a permanent magnet to create an external magnetic flux of 0.2T, and measuring the movement of red blood cells within the microchannel of the microseparator. The experimental results correlate well with the theoretical results.
Characterization of the <i>procera</i> Tomato Mutant Shows Novel Functions of the SlDELLA Protein in the Control of Flower Morphology, Cell Division and Expansion, and the Auxin-Signaling Pathway during Fruit-Set and Development   (2012)

procera (pro) is a tall tomato (Solanum lycopersicum) mutant carrying a point mutation in the GRAS region of the gene encoding SlDELLA, a repressor in the gibberellin (GA) signaling pathway. Consistent with the SlDELLA loss of function, pro plants display a GA-constitutive response phenotype, mimicking wild-type plants treated with GA₃. The ovaries from both nonemasculated and emasculated pro flowers had very strong parthenocarpic capacity, associated with enhanced growth of preanthesis ovaries due to more and larger cells. pro parthenocarpy is facultative because seeded fruits were obtained by manual pollination. Most pro pistils had exserted stigmas, thus preventing self-pollination, similar to wild-type pistils treated with GA₃ or auxins. However, Style2.1, a gene responsible for long styles in noncultivated tomato, may not control the enhanced style elongation of pro pistils, because its expression was not higher in pro styles and did not increase upon GA₃ application. Interestingly, a high percentage of pro flowers had meristic alterations, with one additional petal, sepal, stamen, and carpel at each of the four whorls, respectively, thus unveiling a role of SlDELLA in flower organ development. Microarray analysis showed significant changes in the transcriptome of preanthesis pro ovaries compared with the wild type, indicating that the molecular mechanism underlying the parthenocarpic capacity of pro is complex and that it is mainly associated with changes in the expression of genes involved in GA and auxin pathways. Interestingly, it was found that GA activity modulates the expression of cell division and expansion genes and an auxin signaling gene (tomato AUXIN RESPONSE FACTOR7) during fruit-set.
Abstract 21042: Cardiovascular Risk Stratification Using Off-the-Shelf Wearables and a Multi-Task Deep Learning Algorithm (2017)

Introduction: We aimed to evaluate whether a novel deep neural network (DNN) can predict cardiovascular risk factors from off-the-shelf wearables with a photoplethysmographic (PPG) heart rate sensor and accelerometer. Longitudinal heart rate variability and activity patterns have previously been associated with incident hypertension, diabetes, and sleep apnea, conditions which are frequently undiagnosed. Methods: Health eHeart, an IRB-approved UCSF study, enrolled 6,115 active users of the Cardiogram app for Apple Watch. Heart rate and step counts were collected for a period of 1 to 53 weeks (mean=8.9). Data from 70% of participants (33,628 person-weeks of data) was used to train a semi-supervised, multi-task DNN with both convolutional and recurrent layers to simultaneously predict prevalent hypertension, sleep apnea, and diabetes. Test performance characteristics were estimated using the remaining 30% of participants. Results: Mean age was 42.3 ± 12.1, 69% male. 2,230 (36.5%) of participants had hypertension, 1,016 (16.6%) had sleep apnea, and 462 (7.6%) had diabetes. In the validation set, the DNN outperformed a baseline logistic regression model incorporating age, sex, and beta blocker use, predicting prevalent hypertension with a c-statistic of 0.819 (95% CI 0.76-0.88; with an optimal operating point yielding 84.8% sensitivity and 63.6% specificity) vs a baseline c-statistic of 0.682 (95% CI 0.60-0.76), and prevalent sleep apnea with a c-statistic of 0.902 (95% CI 0.85-0.95; with an optimal operating point yielding 90.4% sensitivity and 59.8% specificity) vs a baseline c-statistic of 0.459 (95% CI 0.39-0.53). Results were not statistically significant for diabetes. Conclusions: Our DNN demonstrates surprisingly good prediction of hypertension and sleep apnea given that its only inputs are heart rate and step count. Whether such DNNs can provide durable and portable predictions for these conditions in other study samples is worth pursuing.
Viscosity of He–Ar and He–Kr Binary Gaseous Mixtures in the Temperature Range 25–720°C (1970)

Measurements were made of the viscosity of helium, argon, krypton, and the mixture pairs helium–argon and helium–krypton to elevated temperature. The viscosity of the pure gases was measured to a temperature of about 850°C, whereas that of the mixtures was measured to 720°C. The instrument used was that of an oscillating-disk type, and absolute measurements were obtained. The data on the pure gases showed good agreement with previous work on oscillating viscometers but did not agree well with the older capillary-flow measurements. It is contended that the present results enjoy a higher confidence level. The pure-gas results were used to find optimum force parameters for the interaction potential. It was found that argon and krypton are best represented by the conventional Lennard-Jones (6–12) potential, but helium is best represented by a (6–9.5) potential model. Due to the extremely shallow depth of the potential well for helium, the present viscosity data are inadequate to yield meaningful values for the force parameters for it. Consequently, force parameters derived from measured binary diffusion coefficients were used to test proposed combination rules. The combination rules were found to be moderately successful. The viscosity data were then used to calculate diffusion coefficients of the mixtures. These values were in good agreement with reliable correlations referred to in the paper. The viscosity of the pure components as well as that of the mixtures was used to generate skeleton tables for thermal conductivity; the interpolation scheme for them is described in the paper. In cases when these values can be compared with direct measurements, the agreement is good.
Geometry reconstruction and mesh generation techniques for acoustic simulations over real-life urban areas using digital geographic information (2014)

With the recent progresses in computer performance and simulation techniques, it is becoming feasible to apply full three-dimensional wave-based numerical simulation techniques to large-scale problems of real-life sound propagation outdoors. In the present paper, a reconstruction technique for real-life urban geometries with full reproduction of the roof shapes and for the ground profiles using digital geographic information is presented. Also, a generation technique for the uniform rectilinear grid used in finite-difference time-domain simulations is presented. The types of geographic dataset used for the reconstruction are a digital surface model and a two-dimensional building outline map. For comparison, another geometry with flat building roofs, which is the type of geometry used in former noise-mapping studies using empirical models, is created. Comparison of the results of finite-difference time-domain acoustic simulations performed over the geometries shows sound pressure level differences above and behind buildings. The maximum level difference of 10 dB in magnitude indicates the necessity of proper reconstruction of the roof shapes in real-life urban acoustic simulations.
Neural network classification with IFSAR and multispectral data fusion (1998)

The authors present neural network classification results for interferometric SAR (IFSAR) and multispectral imagery data, and describe a classification fusion scheme for the combination of the two classification results to reduce ambiguities and false classification rates. Two multilayer perceptron (MLP) neural networks were developed for the classification of IFSAR and multispectral data, separately. Classes include tree area, road, building, bare earth, water, etc. A classification fusion scheme that examines both the IFSAR and multispectral classification results at a pixel location and decides the fusion class for various cases is then discussed. Classification fusion results, especially the building classification and detection results, are presented. The results show that the scheme is effective in reducing false classification rate for buildings detection in the remotely sensed imagery data.