gebhart/patrepeval huggingface dataset:
Detecting people in cluttered indoor scenes (2002)

Motion is an important visual cue for scene analysis. It is particularly useful when the scene is cluttered, such as in typical home or office environments. We present a motion segmentation algorithm that makes use of temporal differencing to detect moving people in cluttered indoor scenes. The algorithm is devised based on a couple of perceptual organization principles. To deal with missing data, noise and outliers, a robust segmentation and grouping technique called tensor voting is employed. The resulting real-time people detector can handle the presence of multiple persons, and varying body sizes and poses. It requires no initialization, uses subjective threshold, which defines the minimum saliency of "significant" motion, and the only two parameters are the scales (sizes) of the local neighborhood for region and contour analysis.
Integrated Fabrication of Novel Inkjet-Printed Silver Nanoparticle Sensors on Carbon Fiber Reinforced Nylon Composites (2021)

Inkjet-printing technology enables the contactless deposition of functional materials such as conductive inks on surfaces, hence reducing contamination and the risk of substrate damage. In printed electronics, inkjet technology offers the significant advantage of controlling the volume of material deposited, and therefore the fine-tuning of the printed geometry, which is crucial for the performance of the final printed electronics. Inkjet printing of functional inks can be used to produce sensors to detect failure of mechanical structures such as carbon fiber reinforced composite (CFRC) components, instead of using attached sensors, which are subject to delamination. Here, silver nanoparticle-based strain sensors were embedded directly in an insulated carbon-fiber laminate by using inkjet printing to achieve an optimized conductive and adhesive geometry, forming a piezoresistive strain sensor. Following the inkjet-printing optimization process, the sensor conductivity and adhesion performance were evaluated. Finally, the sensor was quantified by using a bending rig which applied a pre-determined strain, with the response indicating an accurate sensitivity as the resistance increased with an increased strain. The ability to embed the sensor directly on the CFRC prevents the use of interfacial adhesives which is the main source of failure due to delamination.
Excitations of Metastable SuperfluidH4eat Pressures Up to 40 Bars (2004)

Neutron scattering measurements of the fundamental excitations of liquid 4He confined in 44 A pore diameter gelsil glass at pressures up to 40 bars in the wave vector range 0.4<Q<2.3 A(-1) are reported. Above 25.3 bars and at low temperature (T=0.4 K) the characteristic phonon-roton mode of superfluid 4He is no longer observed as a well-defined mode in the phonon-maxon region (0.4<Q<1.6 A(-1)). Modes at wave vectors Q>1.6 A(-1), especially the rotons, are observed up to complete solidification of all the liquid at a pressure of approximately 40 bars where the roton vanishes. At and above a pressure of 35.1 bars, Bragg peaks are observed, indicating coexistence of liquid and solid in the pores at pressures 35 less than or approximately equal P less than or approximately equal 40 bars.
Accumulation of integrase strand transfer inhibitor resistance mutations confers high-level resistance to dolutegravir in non-B subtype HIV-1 strains from patients failing raltegravir in Uganda (2020)

In HIV-1 subtype A- and D-infected patients failing raltegravir and harbouring INSTI DRMs, there is high-level resistance to elvitegravir and raltegravir. More routine monitoring of INSTI treatment may be advised in LMICs, considering that multiple INSTI DRMs may have accumulated during prolonged exposure to raltegravir during virological failure, leading to high-level INSTI resistance, including dolutegravir resistance.
Epigenetic Link between Statin Use and Diabetes (2018)

Current evidence associates statin use with increased risk of type 2 diabetes (T2D). Mechanism are unclear. Statins may impact DNA methylation, a key regulator in gene expression. We conducted an epigenome-wide association study among 8313 Europeans (7163 never users and 1150 current statin users) from 7 cohorts to assess the association of statin use and DNA methylation in blood. After replication we found genome-wide associations of methylation sites annotated to DHCR24 (cg17901584, cg10177197), SC4MOL (cg05119988), and ABCG1 (cg06500161, cg27243685), which are involved in cholesterol, insulin and lipoprotein lipase pathways. Cg06500161 hypermethylation was related to decreased ABCG1 expression in two probes (P = 5 x 10-12 and 9 x 10-13), lower high density lipoprotein cholesterol (HDL, P = 0.002) and higher triglycerides (P = 1 x 10-4). Mendelian Randomization suggested that HDL and triglycerides might be a consequence of cg06500161 rather than a cause. Lower methylation of cg17901584 was associated with higher insulin (P = 0.006). Prevalent T2D was related to all sites except cg27243685 (P from 6 x 10-10 to 9 x 10-4). Only cg06500161 independently predicted incident T2D (P = 6 x 10-7), implicating that ABCG1 may be a causal factor for T2D as suggested by Mendelian Randomization (Figure 1). Our study is the first to provide evidence of DNA methylation as potential mechanism by which statin use can lead to adverse metabolic alterations and subsequently T2D. Disclosure C. Ochoa-Rosales: None. E. Portilla-Fernandez: None. R. Wilson: None. J. Nano: None. M. Ghanbari: None. O.L. Rueda-Ochoa: None. T. Lehtimäki: None. X. Gao: None. B. Lehne: None. T. Voortman: None. O. Franco: None. T. Muka: Employee; Self; Novo Nordisk A/S.
Bayesian False Discovery Rate Wavelet Shrinkage: Theory and Applications (2008)

Statistical inference in the wavelet domain remains a vibrant area of contemporary statistical research because of desirable properties of wavelet representations and the need of scientific community to process, explore, and summarize massive data sets. Prime examples are biomedical, geophysical, and internet related data. We propose two new approaches to wavelet shrinkage/thresholding. In the spirit of Efron and Tibshirani's recent work on local false discovery rate, we propose Bayesian Local False Discovery Rate (BLFDR), where the underlying model on wavelet coefficients does not assume known variances. This approach to wavelet shrinkage is shown to be connected with shrinkage based on Bayes factors. The second proposal, Bayesian False Discovery Rate (BaFDR), is based on ordering of posterior probabilities of hypotheses on true wavelets coefficients being null, in Bayesian testing of multiple hypotheses. We demonstrate that both approaches result in competitive shrinkage methods by contrasting them to some popular shrinkage techniques.
KIT’s IWSLT 2020 SLT Translation System (2020)

Ngoc-Quan Pham, Felix Schneider, Tuan-Nam Nguyen, Thanh-Le Ha, Thai Son Nguyen, Maximilian Awiszus, Sebastian Stüker, Alexander Waibel. Proceedings of the 17th International Conference on Spoken Language Translation. 2020.
Familial Intracranial Arteriovenous Malformations (1998)

Familial intracranial arteriovenous malformations (AVMs) are rare. We describe a father and son both presenting in childhood with cerebral AVMs. Both patients underwent successful surgical extirpation of the AVM. Familial AVMs present at a young age and tend to be multiple, as was the case in one of our patients. Imaging of asymptomatic family members may detect previously undiagnosed AVMs, and we recommend screening of the relatives of patients with a strong family history of such lesions.
Reply to Brody: `The pause' and killing (1989)

Thrombopoietin confers immediate protection against injury caused by ischemia/reperfusion in the rat heart. Eltrombopag is a small molecule agonist of the thrombopoietin receptor; the physiological target of thrombopoietin. However, the ability of eltrombopag and thrombopoietin to protect human cardiac myocytes against injury and the mechanisms underlying myocyte protection are not known. Human cardiac myocytes (n= 6-10/group) were treated with eltrombopag (0.1- 30.0 µM) or thrombopoietin ( 0.1 - 30.0 ng/ml) and then subjected to 5 hours of hypoxia (95% N2/5%CO2) and 16 hours of reoxygenation to determine their ability to confer resistance to myocardial injury. The thrombopoietin receptor (c-Mpl) was detected in unstimulated human cardiac myocytes by western blotting. Eltrombopag and thrombopoietin confer immediate protection to human cardiac myocytes against injury from hypoxia/reoxygenation by decreasing necrotic and apoptotic cell death in a concentration-dependent manner with an optimal concentration of 3 µM for eltrombopag and 1.0 ng/ml for thrombopoietin. The extent of protection conferred with eltrombopag is equivalent to that of thrombopoietin. Eltrombopag and thrombopoietin activate multiple pro-survival pathways; inhibition of JAK-2, src kinase, Akt/PI3 kinase, p44/42 MAPK and p38 MAPK abolished cardiac myocyte protection by eltrombopag and thrombopoietin. Eltrombopag and thrombopoietin may represent important and potent agents for immediately and substantially increasing protection of human cardiac myocytes, and may offer long-lasting benefit through activation of pro-survival pathways during ischemia.
Awarness and use of ICT among the college teacher: A study during the orientation programme (2012)

About 71 College teachers participated in the Orientation programme at UGC-Academic Staff College, Rashtrasant Tukadoji Maharaj Nagpur University were given pretested structured questionnaire with four point scale to elicit information on awareness and use of ICT among the teachers. The results revealed that the mean scores of teachers for the use of computers for teaching, research and extension was 56.18%, use of internet was 61.3%, use of web 2.0 tools was 50.35% and awareness regarding e-resources was 38.59%. Further analysis indicated that only 7.04% teachers were making use of computers for teaching and 22.53, 25.35 and 22.53% teachers were using computers for writing articles, reports and research papers, respectively. Only 11.26% and 12.67% of the teachers used computers for data tabulation and statistical analysis respectively. About 25.35% were using internet for correspondence and 28.16% for updating their subject knowledge. Among the teachers, those were very well aware of web 2.0 tools, about 8.45%, 7.04%, 18.03%, 15.49% and 23.94% were very engaged in blogs, twitters, You tube, instant messaging and face book respectively. With respect to awareness regarding e-resources, only 16.90%, 12.67% and 8.45% teachers were well aware of e-journals, e-books and Digital libraries. Only 1.40 to 5.63% teachers were aware of Open courseware, Consortia, Subject gateways, Inflibnet initiatives, e-databases, National Knowledge Network and Electronic Theses and Dissertation Repositories. The gender, age, teaching experience and stream did not affect the ICT awareness. However, teachers inhabiting urban area and having Ph.D. degree were inclined more for ICT awareness. After attending Orientation programmes, the ICT awareness scores of the teachers were found to be significantly (p<0.01) increased. It can be concluded that the Orientation Programmes organized by Academic Staff Colleges can go a long way in generating ICT awareness among the College and University teachers.
On Software Infrastructure: Develop, Prove, Profit? (2023)

Having infrastructure survive over very long stretches of time is a nontrivial task. This is either because such infrastructure needs to be built extremely well from the outset or because it requires ongoing maintenance. The former may require prohibitively large initial investments. The latter requires ongoing investment from public agencies over the span of decades or centuries despite the pendulum swings of those governments from contrasting political aims. Without either the very high initial or ongoing investment, infrastructure can fail. Physical infrastructure failure is not inevitable—consider railways in Japan, the Panama Canal, and the U.S. Interstate Highway System.
Ethylene Regulates Energy-Dependent Non-Photochemical Quenching in Arabidopsis through Repression of the Xanthophyll Cycle (2015)

Energy-dependent (qE) non-photochemical quenching (NPQ) thermally dissipates excess absorbed light energy as a protective mechanism to prevent the over reduction of photosystem II and the generation of reactive oxygen species (ROS). The xanthophyll cycle, induced when the level of absorbed light energy exceeds the capacity of photochemistry, contributes to qE. In this work, we show that ethylene regulates the xanthophyll cycle in Arabidopsis. Analysis of eto1-1, exhibiting increased ethylene production, and ctr1-3, exhibiting constitutive ethylene response, revealed defects in NPQ resulting from impaired de-epoxidation of violaxanthin by violaxanthin de-epoxidase (VDE) encoded by NPQ1. Elevated ethylene signaling reduced the level of active VDE through decreased NPQ1 promoter activity and impaired VDE activation resulting from a lower transthylakoid membrane pH gradient. Increasing the concentration of CO2 partially corrected the ethylene-mediated defects in NPQ and photosynthesis, indicating that changes in ethylene signaling affect stromal CO2 solubility. Increasing VDE expression in eto1-1 and ctr1-3 restored light-activated de-epoxidation and qE, reduced superoxide production and reduced photoinhibition. Restoring VDE activity significantly reversed the small growth phenotype of eto1-1 and ctr1-3 without altering ethylene production or ethylene responses. Our results demonstrate that ethylene increases ROS production and photosensitivity in response to high light and the associated reduced plant stature is partially reversed by increasing VDE activity.
Sequential Activation of Spatially Localized Oligonucleotides (2022)

The programmable spatiotemporal activation of molecules could be used to create stimuli-responsive biomaterials capable of executing multistage sensing and computational processes. Here we develop a method for the activation of different DNA molecules in precisely specified locations and times within hydrogels. The activation locations are determined by patterning molecules to be released in their inactive form within hydrogels at resolutions of tens of microns, whereas the time of activation is controlled by a DNA strand displacement reaction cascade that releases the target DNA oligonucleotides at precisely specified time intervals. This programmed activation of DNA from hydrogel substrates thus enables the scalable development of DNA-based reaction-diffusion systems that regulate DNA strand availability in space and time. This system could be used as a platform to autonomously activate predefined chemical signals embedded within a soft material.
Un/DoPack: Re-Clustering ofLargeSystem-on-Chip Designs withInterconnect Variation forLow-Cost FPGAs (2006)

device area isdominated byinterconnect, so low-cost FPGA architectures often havereduced interconnect capacity. Thislimited routing capacity creates a hardchannel width constraint that canmakeitdifficult forCAD tools tosuccessfully map acircuit into these devices. Instead ofmigrating adesign toa high-cost, resource-rich architecture thatiseasier toroute, we present a cheaper alternative: a fully automated CAD flow (Un/DoPack) that finds local regions ofhighinterconnect demand andreduces itbyspreading outthelogic inthat region. Thisis donebyintroducing whitespace intheformofemptylogic elements (LEs) within theconfigurable logic blocks (CLBs) ofthe congested region. After spreading, thecongested region occupies more routing channels andsoobtains accesstogreater aggregate interconnect capacity. Although this hasthesideeffect ofusing more CLBs,ithastheadvantage oflowering peakinterconnect demands andmaking apreviously-unroutable circuit routable. We alsodesign a new setofsynthetic benchmark circuits that model interconnect variation within a largedesign. Usingthese benchmarks, we showthatcircuits withhighinterconnect variation require FPGA devices tohavelarge channel widths. However,sincecongestion of suchcircuits islocalized, Un/DoPack isverygoodatreducing thepeakdemands ofcircuits withhighinterconnect variation. Ourresults suggest that even for an average Rentexponent of0.62(amodestvalue), a large variation ofthis exponent within adesign will also require FPGAs to havelargechannel widths. Thus,itiscrucial tostudy interconnect variation ofbenchmark circuits whendesigning low- costFPGAs.Previous research studying interconnect properties focuses on averageRentexponent values ofeachdesign, butwe believe new workshould study variation aswell. Forcircuits with highinterconnect variation, we demonstrate thatchannel widths canbereduced byupto-40%withonly100%increase inarea.
Wireless ATM networks: architecture, system design and prototyping (1996)

The concept of "wireless ATM", first proposed in 1992, is now being actively considered as a potential framework for next-generation wireless communication networks capable of supporting integrated, quality-of-service (QoS) based multimedia services. We outline the technological rationale for wireless ATM, present a system-level reference architecture, discuss key subsystem design issues, and summarize early prototyping results for a proof-of-concept system called "WATMnet". The reference architecture for wireless ATM consists of two major components: (a) a "radio access layer" for extension of ATM services over a wireless medium and (b) a "mobile ATM" infrastructure network capable of supporting terminal migration. Design considerations for both the radio access layer (e.g. physical layer, medium access control and data link control) and mobile ATM (e.g. handoff control, location management and routing/QoS control) are discussed, and key technical issues are identified in each case. An overview of experiences with the "WATMnet" system prototype developed at NEC USA's C&C Research Laboratories is given in conclusion.
Analytical Models for Energy Consumption in Infrastructure WLAN STAs Carrying TCP Traffic (2009)

We develop analytical models for estimating the energy spent by stations (STAs) in infrastructure WLANs when performing TCP controlled file downloads. We focus on the energy spent in radio communication when the STAs are in the Continuously Active Mode (CAM), or in the static Power Save Mode (PSM). Our approach is to develop accurate models for obtaining the fraction of times the STA radios spend in idling, receiving and transmitting. We discuss two traffic models for each mode of operation: (i) each STA performs one large file download, and (ii) the STAs perform short file transfers. We evaluate the rate of STA energy expenditure with long file downloads, and show that static PSM is worse than just using CAM. For short file downloads we compute the number of file downloads that can be completed with given battery capacity, and show that PSM performs better than CAM for this case. We provide a validation of our analytical models using the NS-2 simulator. In contrast to earlier work on analytical modeling of PSM, our models that capture the details of the interactions between the 802.11 MAC in PSM and certain aspects of TCP.
Demonstration of integrated modelling in the Scheldt River Basin, using the OpenMI [POSTER] (2008)

What is the OpenMI?Why apply the OpenMI?OpenMI = Open Modelling Interface An interface standard for run time data exchange between models, databases & tools (no matter what dimension / domain), through links defined by the modeller, whose purpose is to improve the ability to model complex scenarios.Competition for scarce resources Need for integrated water management -WFD Complexity leads to need for decision support Need for whole catchment models Groundwater Model Tourism Fish Ecology 1II11111 Groundwater Flow Need for model linking Climate change Reservoi r Elements are the locations where quantities are calculated 1 River ModelThe OpenMI an example of linking More information Concerning the LI FE project: http://www.openmi-life.org
The Escherichia coli Outer Membrane β-Barrel Assembly Machinery (BAM) Crosstalks with the Divisome (2021)

The BAM is a macromolecular machine responsible for the folding and the insertion of integral proteins into the outer membrane of diderm Gram-negative bacteria. In <i>Escherichia coli</i>, it consists of a transmembrane β-barrel subunit, BamA, and four outer membrane lipoproteins (BamB-E). Using BAM-specific antibodies, in <i>E. coli</i> cells, the complex is shown to localize in the lateral wall in foci. The machinery was shown to be enriched at midcell with specific cell cycle timing. The inhibition of septation by aztreonam did not alter the BAM midcell localization substantially. Furthermore, the absence of late cell division proteins at midcell did not impact BAM timing or localization. These results imply that the BAM enrichment at the site of constriction does not require an active cell division machinery. Expression of the Tre1 toxin, which impairs the FtsZ filamentation and therefore midcell localization, resulted in the complete loss of BAM midcell enrichment. A similar effect was observed for YidC, which is involved in the membrane insertion of cell division proteins in the inner membrane. The presence of the Z-ring is needed for preseptal peptidoglycan (PG) synthesis. As BAM was shown to be embedded in the PG layer, it is possible that BAM is inserted preferentially simultaneously with de novo PG synthesis to facilitate the insertion of OMPs in the newly synthesized outer membrane.
WarpNet: Weakly Supervised Matching for Single-view Reconstruction (2016)

We present an approach to matching images of objects in fine-grained datasets without using part annotations, with an application to the challenging problem of weakly supervised single-view reconstruction. This is in contrast to prior works that require part annotations, since matching objects across class and pose variations is challenging with appearance features alone. We overcome this challenge through a novel deep learning architecture, WarpNet, that aligns an object in one image with a different object in another. We exploit the structure of the fine-grained dataset to create artificial data for training this network in an unsupervised-discriminative learning approach. The output of the network acts as a spatial prior that allows generalization at test time to match real images across variations in appearance, viewpoint and articulation. On the CUB-200-2011 dataset of bird categories, we improve the AP over an appearance-only network by 13.6%. We further demonstrate that our WarpNet matches, together with the structure of fine-grained datasets, allow single-view reconstructions with quality comparable to using annotated point correspondences.
Microbial alkaline protease from animal waste: Immobilization and characterization (2018)

Alkaline protease (AP) produced from protein-rich animal waste as chicken feather (CF) and fish fin (FF) by mixed culture was immobilized and characterized. The immobilized enzyme activity obtained in 0.25g beads was 0.398 and 0.411 (U/mL) for CF and FF respectively. Besides; the initial activity was 0.424±0.011 and 0.417±0.017 (U/mL) from the extracted protein, accordingly. While enzyme activity entrapped in 0.25g beads was 0.081 and 0.151 (U/ml), respectively. The beads protein content at 4 cycles up to 0.171±0.001 and 0.176±0.006 (mg/ml), respectively and gradually decreased through the second run by approximately 10% and ended up with 40% activity loss 0.124±0.002 and 0.112±0.003 (mg/ml) accordingly. The enzyme showed zero % activity loss for the first cycle and gradually decreased along the fourth cycle. The storage stability of the enzyme was recorded at 1st day 0.424 ± 0.011 and 0.417 ± 0.017 (U/mL) as the initial activity of AP, respectively, while the activity for the 5th day 0.167 ± 0.004 and 0.167 ± 0.003 (U/mL) were used as the final activity of the immobilized and free enzymes, respectively.