gebhart/patrepeval huggingface dataset:
Explainable Video Action Reasoning via Prior Knowledge and State Transitions (2019)

Human action analysis and understanding in videos is an important and challenging task. Although substantial progress has been made in past years, the explainability of existing methods is still limited. In this work, we propose a novel action reasoning framework that uses prior knowledge to explain semantic-level observations of video state changes. Our method takes advantage of both classical reasoning and modern deep learning approaches. Specifically, prior knowledge is defined as the information of a target video domain, including a set of objects, attributes and relationships in the target video domain, as well as relevant actions defined by the temporal attribute and relationship changes (i.e. state transitions). Given a video sequence, we first generate a scene graph on each frame to represent concerned objects, attributes and relationships. Then those scene graphs are linked by tracking objects across frames to form a spatio-temporal graph (also called video graph), which represents semantic-level video states. Finally, by sequentially examining each state transition in the video graph, our method can detect and explain how those actions are executed with prior knowledge, just like the logical manner of thinking by humans. Compared to previous works, the action reasoning results of our method can be explained by both logical rules and semantic-level observations of video content changes. Besides, the proposed method can be used to detect multiple concurrent actions with detailed information, such as who (particular objects), when (time), where (object locations) and how (what kind of changes). Experiments on a re-annotated dataset CAD-120 show the effectiveness of our method.
Light Controllable Surface Coating for Effective Photothermal Killing of Bacteria (2015)

Although the electronic properties of conducting films have been widely explored in optoelectronic fields, the optical absorption abilities of surface-coated films for photothermal conversion have been relatively less explored in the production of antibacterial coatings. Here, we present catechol-conjugated poly(vinylpyrrolidone) sulfobetaine (PVPS) and polyaniline (PANI) tightly linked by ionic interaction (PVPS:PANI) as a novel photothermal antibacterial agent for surface coating, which can absorb broadband near-infrared (NIR) light. Taking advantage of the NIR light absorption, this coating film can release eminent photothermal heat for the rapid killing of surface bacteria. The NIR light triggers a sharp rise in photothermal heat, providing the rapid and effective killing of 99.9% of the Gram-positive and -negative bacteria tested within 3 min of NIR light exposure when used at the concentration of 1 mg/mL. Although considerable progress has been made in the design of antibacterial coatings, the user control of NIR-irradiated rapid photothermal destruction of surface bacteria holds increasing attention beyond the traditional boundaries of typical antibacterial surfaces.
Reweighted Wake-Sleep (2014)

Training deep directed graphical models with many hidden variables and performing inference remains a major challenge. Helmholtz machines and deep belief networks are such models, and the wake-sleep algorithm has been proposed to train them. The wake-sleep algorithm relies on training not just the directed generative model but also a conditional generative model (the inference network) that runs backward from visible to latent, estimating the posterior distribution of latent given visible. We propose a novel interpretation of the wake-sleep algorithm which suggests that better estimators of the gradient can be obtained by sampling latent variables multiple times from the inference network. This view is based on importance sampling as an estimator of the likelihood, with the approximate inference network as a proposal distribution. This interpretation is confirmed experimentally, showing that better likelihood can be achieved with this reweighted wake-sleep procedure. Based on this interpretation, we propose that a sigmoidal belief network is not sufficiently powerful for the layers of the inference network in order to recover a good estimator of the posterior distribution of latent variables. Our experiments show that using a more powerful layer model, such as NADE, yields substantially better generative models.
Chemical composition of essential oils of two species of the Lamiaceae family:Scutellaria volubilisandLepechinia paniculatafrom Loja, Ecuador (2012)

Scutellaria volubilis and Lepechinia paniculata belong to the Lamiaceae family of species. They are used widely in traditional medicine in Ecuador. The physical properties and chemical composition of the essential oils from the aerial part of Scutellaria volubilis in its foliation - flowering stage and Lepechinia paniculata in its flowering phase have been studied after their hydrodistillation. The components of these essential oils were investigated by means of gas chromatography/mass spectrometry (GC/MS) and gas chromatography/flame ionization detection (GC/FID) techniques. Thirty-seven components were determined in the essential oil of S. volubilis. The principal constituents were found to be sesquiterpene hydrocarbons: germacrene D (20.4%), b-caryophyllene (17.5%), a-humulene (14.7%) and b-bisabolene (5.8%). Thirty-four components were identified in the essential oil of L. paniculata, the principal groups were sesquiterpene hydrocarbons such as aromadendrene (24.6%), viridiflorene (12.4%), b-selinene (7.4%) and valencene (6.7%). The monoterpene hydrocarbons were present in lower amounts as well as b-phellandrene (6.9%) and (7.7%). Oxygenated monoterpenes and sesquiterpenes contribute below 5% in both species. This is the first report on the chemical composition of this species.© 2012 Taylor &amp; Francis.
A novel islanding detection scheme for synchronous distributed generation using rate of change of exciter voltage over reactive power at DG-Side (2017)

Penetration of distributed generation (DG) in distribution networks is rapidly increasing. DGs' application enhances system's reliability and power quality. However, along their benefits, there are some issues. One of the most important issues of DGs' application is the islanding. This paper presents a novel passive islanding detection scheme for synchronous DG based. In the proposed scheme, rate of change of exciter voltage over rate of change of reactive power at the DG-side (dE/dQDG) is taken into account. In reality, the voltage and reactive power of load depend on the exciter of the synchronous generator. Therefore, due to lack of inertia, response of these parameters to small changes is faster than the other passive parameters such as frequency. However, the sensitivity of reactive power at the DG-side and the exciter voltage is much more than reactive power and voltage of the load. So, the reactive power at DG-side and exciter voltage parameters are selected. The performance of the proposed method is investigated in MATLAB/Simulink software on a sample network in the presence of synchronous diesel-generator. The simulation results indicate that the proposed method is capable to detect all islanding and non-islanding conditions even with zero non-detection zones (NDZs) of active and reactive power mismatch.
Fatty Acid Elongation Activity in Fibroblasts from Patients with Adrenoleukodystrophy (ALD)1 (1984)

The activities of microsomal fatty acid elongation and cytoplasmic de novo fatty acid synthesis were measured in human cultured skin fibroblasts. Both activities in fibroblasts from normal controls and patients with adrenoleukodystrophy (ALD) were compared and slight but a significant increase of elongation activities in ALD fibroblasts was demonstrated. On the other hand, there were no significant differences in the fatty acid synthetase activities. In this study, we measured microsomal fatty acid elongation activities in the presence of N-ethylmaleimide, which completely inhibited the activity of contaminating fatty acid synthetase and also the degradation of fatty acids, and made accurate determination of the elongation activities possible.
Structural domains of the insulin receptor and IGF receptor required for dimerisation and ligand binding (2000)

We investigated structural requirements for dimerisation and ligand binding of insulin/IGF receptors. Soluble receptor fragments consisting of N-terminal domains (L1/CYS/L2, L1/CYS/L2/F0) or fibronectin domains (F0/F1/F2, F1/F2) were expressed in CHO cells. Fragments containing F0 or F1 domains were secreted as disulphide-linked dimers, and those consisting of L1/CYS/L2 domains as monomers. None of these proteins bound ligand. However, when a peptide of 16 amino acids from the alpha-subunit C-terminus was fused to the C-terminus of L1/CYS/L2, the monomeric insulin and IGF receptor constructs bound their respective ligands with affinity only 10-fold lower than native receptors.
Uniaxial Freezing, Freeze‐Drying, and Anodization for Aligned Pore Structure in Dye‐Sensitized Solar Cells (2009)

A variety of methods are available for creating the titanium dioxide (TiO 2 ) semiconductor surface layer of dye‐sensitized solar cells (DSSCs); however, many of them are used independently to create surface morphologies that are influenced by only one process. A series of experimental techniques are utilized, some not originally used for thin film preparation, to create a semiconductor surface that exhibits variations in morphology on the macro‐, micro‐, and nanoscales. The techniques used to create the micro‐ and nanostructures are uniaxial freezing, freeze‐drying, and anodization or etching, combined with the macrostructural techniques of the doctor blade method, screen printing, and/or electrophoretic deposition. When several of these techniques are used together to create, and modify, a thin film for DSSC, these techniques can produce a TiO 2 semiconductor layer for DSSC that has very high current and voltage characteristics, and a surface morphology more complex than can be created by using any one of the techniques alone.
Characterization of Organosolv Lignins using Thermal and FT-IR Spectroscopic Analysis (2013)

A group of biomass-derived lignins isolated using organosolv fractionation was characterized by FT-IR spectral and thermal property analysis coupled with multivariate analysis. The principal component analysis indicated that there were significant variations between the hardwood, softwood, and grass lignins due to the differences in syringyl and guaiacyl units as well as the different processing temperatures and times used to isolate the lignins. Partial least squares regression revealed that the concentration of syringyl units was the foremost factor behind the variation in glass transition temperature (Tg) for each lignin sample. It was concluded that structural variations resulting from altering the processing time and temperature and the lignin species directly affect the thermal properties of the lignin. Therefore, by determining the thermal properties of a lignin sample, a basic understanding of its structure can be developed.
Preparation of a Magnetically Switchable Bio‐electrocatalytic System Employing Cross‐linked Enzyme Aggregates in Magnetic Mesocellular Carbon Foam (2005)

Glucose-Oxidase (GOx) wurde in einem magnetischen mesozellulären Kohlenstoffschaum immobilisiert, indem sie mittels Glutaraldehyd vernetzt wurde. Mit diesem Material wurde ein magnetisch schaltbares bioelektrokatalytisches System aufgebaut, in dem die katalytische Oxidation von Glucose über die Positionierung eines externen Magneten nahe und fern der Elektrode ein- und ausgeschaltet werden konnte (siehe Schema). Supporting information for this article is available on the WWW under http://www.wiley-vch.de/contents/jc_2001/2005/z502995_s.pdf or from the author. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.
Molecular Analysis of the Pyrimidine Deoxyribonucleoside Kinase Gene of Wild-type and Acyclovir-resistant Strains of Varicella-Zoster Virus (1988)

The pyrimidine deoxyribonucleoside kinase (dPK) genes from five wild-type and four acyclovir-resistant varicella-zoster virus (VZV) strains were studied. One of the acyclovir-resistant strains was isolated from a patient receiving chronic acyclovir therapy. Acyclovir-resistant strains expressed the 1.8 kb VZV dPK transcript but lacked dPK activity. To determine the basis for the lack of enzyme activity the dPK gene from each strain was cloned and its DNA sequence determined. The VZV dPK gene was found to be highly conserved among strains, with greater than 99% nucleotide and amino acid homology. Each acyclovir-resistant VZV strain differed from its wild-type parent in only a single amino acid. The dPK genes from the acyclovir-resistant strains contained either point mutations near the putative thymidine-binding site of the enzyme or ones that resulted in the premature termination of protein synthesis. Single point mutations were sufficient to render these strains dPK-negative and highly resistant to acyclovir. The molecular basis for acyclovir resistance at the dPK locus of VZV is similar to that previously noted to render herpes simplex viruses resistant to acyclovir.
A method for using an ultrasonic thickness gauge to assess outsole wear in running shoes (2004)

The purpose of this study was to develop a method to quantify the wear rate of outsole rubber in the lateral heel strike area of running shoes over 350 miles. Sixty-two (62) male runners participated in a 350 mile accelerated running shoe study in which the thickness of the outsole rubber in 1 pair of shoes was measured non-destructively at approximately 10 mile intervals. Outsole rubber thickness was measured using an ultrasonic thickness gauge at 4 points on the heel. Total wear rate was calculated at each successive interval as the total thickness of rubber lost divided by the accumulated miles. The results showed that the wear rate started at 0.034 mm/mile and then decreased towards a plateau of 0.010 mm/mile as the shoe approached 350 miles.
Agile Practices for Quantum Software Development: Practitioners Perspectives (2022)

Quantum software systems are emerging software engineering (SE) genre that exploit principles of quantum bits (Qubit) and quantum gates (Qgates) to solve complex computing problems that today classic computers can not effectively do in a reasonable time. According to its proponents, agile software development practices have the potential to address many of the problems endemic to the development of quantum software. However, there is a dearth of evidence confirming if agile practices suit and can be adopted by software teams as they are in the context of quantum software development. To address this lack, we conducted an empirical study to investigate the needs and challenges of using agile practices to develop quantum software. While our semi-structured interviews with 26 practitioners across 10 countries highlighted the applicability of agile practices in this domain, the interview findings also revealed new challenges impeding the effective incorporation of these practices. Our research findings provide a springboard for further contextualization and seamless integration of agile practices with developing the next generation of quantum software.
The rubber tree genome shows expansion of gene family associated with rubber biosynthesis (2016)

Hevea brasiliensis Muell. Arg, a member of the family Euphorbiaceae, is the sole natural resource exploited for commercial production of high-quality natural rubber. The properties of natural rubber latex are almost irreplaceable by synthetic counterparts for many industrial applications. A paucity of knowledge on the molecular mechanisms of rubber biosynthesis in high yield traits still persists. Here we report the comprehensive genome-wide analysis of the widely planted H. brasiliensis clone, RRIM 600. The genome was assembled based on ~155-fold combined coverage with Illumina and PacBio sequence data and has a total length of 1.55 Gb with 72.5% comprising repetitive DNA sequences. A total of 84,440 high-confidence protein-coding genes were predicted. Comparative genomic analysis revealed strong synteny between H. brasiliensis and other Euphorbiaceae genomes. Our data suggest that H. brasiliensis's capacity to produce high levels of latex can be attributed to the expansion of rubber biosynthesis-related genes in its genome and the high expression of these genes in latex. Using cap analysis gene expression data, we illustrate the tissue-specific transcription profiles of rubber biosynthesis-related genes, revealing alternative means of transcriptional regulation. Our study adds to the understanding of H. brasiliensis biology and provides valuable genomic resources for future agronomic-related improvement of the rubber tree.
Unveiling movement uncertainty for robust trajectory similarity analysis (2017)

Trajectory data analysis and mining require distance and similarity measures, and the quality of their results is directly related to those measures. Several similarity measures originally proposed for time-series were adapted to work with trajectory data, but these approaches were developed for well-behaved data that usually do not have the uncertainty and heterogeneity introduced by the sampling process to obtain trajectories. More recently, similarity measures were proposed specifically for trajectory data, but they rely on simplistic movement uncertainty representations, such as linear interpolation. In this article, we propose a new distance function, and a new similarity measure that uses an elliptical representation of trajectories, being more robust to the movement uncertainty caused by the sampling rate and the heterogeneity of this kind of data. Experiments using real data show that our proposal is more accurate and robust than related work.
f-Ergodicity and f-regularity (2009)

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Real-time management of the berth allocation problem with stochastic arrival and handling times (2013)

How to Determine the Baseline Schedule ? Any feasible berthing assignment and schedule of vessels along the quay respecting the spatial and temporal constraints on the individual vessels Best case: Optimal solution of the deterministic berth allocation problem (without accounting for any uncertainty in information) How to Determine the Baseline Schedule ?Any feasible berthing assignment and schedule of vessels along the quay respecting the spatial and temporal constraints on the individual vessels : Optimal solution of the deterministic berth allocation problem (without accounting for any uncertainty
Preparation of neplanocin-A from D-ribose and by a chemoenzymic method (1994)

J. M. Hill, E. J. Hutchinson, D. M. Le Grand, S. M. Roberts, A. J. Thorpe and N. J. Turner, J. Chem. Soc., Perkin Trans. 1, 1994, 1483 DOI: 10.1039/P19940001483
Optimizing anti-gene oligonucleotide ‘Zorro-LNA’ for improved strand invasion into duplex DNA (2010)

Zorro-LNA (Zorro) is a newly developed, oligonucleotide (ON)-based, Z-shaped construct with the potential of specific binding to each strand of duplex DNA. The first-generation Zorros are formed by two hybridized LNA/DNA mixmers (2-ON Zorros) and was hypothesized to strand invade. We have now established a method, which conclusively demonstrates that an LNA ON can strand invade into duplex DNA. To make Zorros smaller in size and easier to design, we synthesized 3'-5'-5'-3' single-stranded Zorro-LNA (ssZorro) by using both 3'- and 5'-phosphoramidites. With ssZorro, a significantly greater extent and rate of double-strand invasion (DSI) was obtained than with conventional 2-ON Zorros. Introducing hydrophilic PEG-linkers connecting the two strands did not significantly change the rate or extent of DSI as compared to ssZorro with a nucleotide-based linker, while the longest alkyl-chain linker tested (36 carbons) resulted in a very slow DSI. The shortest alkyl-chain linker (3 carbons) did not reduce the extent of DSI of ssZorro, but significantly decreased the DSI rate. Collectively, ssZorro is smaller in size, easier to design and more efficient than conventional 2-ON Zorro in inducing DSI. Analysis of the chemical composition of the linker suggests that it could be of importance for future therapeutic considerations.
Solvent-Free Melting Techniques for the Preparation of Lipid-Based Solid Oral Formulations (2015)

Lipid excipients are applied for numerous purposes such as taste masking, controlled release, improvement of swallowability and moisture protection. Several melting techniques have evolved in the last decades. Common examples are melt coating, melt granulation and melt extrusion. The required equipment ranges from ordinary glass beakers for lab scale up to large machines such as fluid bed coaters, spray dryers or extruders. This allows for upscaling to pilot or production scale. Solvent free melt processing provides a cost-effective, time-saving and eco-friendly method for the food and pharmaceutical industries. This review intends to give a critical overview of the published literature on experiences, formulations and challenges and to show possibilities for future developments in this promising field. Moreover, it should serve as a guide for selecting the best excipients and manufacturing techniques for the development of a product with specific properties using solvent free melt processing.
Is Nitroglycerin a Novel and Inexpensive Treatment for Osteoporosis? (2011)

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