I love paddling on the Horsetooth Reservoir in cold season. Boat ramps are closed, no power boat traffic, usually quiet and calm. Snow and ice can enhance scenery. A great time to paddle, train, relax or photograph. The Horsetooth stays […]

We all know about the new coronavirus that has been affecting hundreds of thousands of people worldwide. And while scientists, researchers, and doctors are all working tirelessly to find a cure for this terrible disease, one thing is for sure: staying home is saving lives. The greatest tool that we have right now to help […]

Read More at Check Out These Famous Logos Practicing Social Distancing – McDonald’s, Mercedes, and More

By David Suzuki The David Suzuki Foundation Seeing terms like “post-truth” and “alternative facts” gain traction in the news convinces me that politicians, media workers and readers could benefit from a refresher course in how science helps us understand the … Continue reading →

A lot of nice family time during these Corona times.

My book Creative Calling is out! Thanks for all your love, support, and help getting it out into the world. We kicked off celebrations in Seattle with over 700 people in attendance to talk about Creativity with my good buddy, Humans of New York creator, Brandon Stanton. I recorded the session for you. Hope you enjoy! FOLLOW HUMANS OF NEW YORK: instagram | twitter | website Listen to the Podcast Subscribe   This podcast is brought to you by CreativeLive. CreativeLive is the world’s largest hub for online creative education in photo/video, art/design, music/audio, craft/maker, money/life and the ability to make a living in any of those disciplines. They are high quality, highly curated classes taught by the world’s top experts — Pulitzer, Oscar, Grammy Award winners, New York Times best selling authors and the best entrepreneurs of our times.

The post Imagine What’s Possible – On Stage /w Humans of New York Creator Brandon Stanton appeared first on Chase Jarvis Photography.

Mirage JS is helping simplify modern front-end development by providing the ability for front-end engineers to craft applications without relying on an actual back-end service. In this article, I’ll be taking a framework-agnostic approach to show you Mirage JS models and associations. If you haven’t heard of Mirage JS, you can read my previous article in which I introduce it and also integrate it with the progressive framework Vue.js.

Let $chi_{Delta}(mathbb{R}^{n})$ denote the minimum number of colors needed to color $mathbb{R}^{n}$ so that there will not be a monochromatic equilateral triangle with side length $1$. Using the slice rank method, we reprove a result of Frankl and Rodl, and show that $chi_{Delta}left(mathbb{R}^{n} ight)$ grows exponentially with $n$. This technique substantially improves upon the best known quantitative lower bounds for $chi_{Delta}left(mathbb{R}^{n} ight)$, and we obtain [ chi_{Delta}left(mathbb{R}^{n} ight)>(1.01446+o(1))^{n}. ]

In this paper we consider the "quasidensity" of a subset of the product of a Banach space and its dual, and give a connection between quasidense sets and sets of "type (NI)". We discuss "coincidence sets" of certain convex functions and prove two sum theorems for coincidence sets. We obtain new results on the Fitzpatrick extension of a closed quasidense monotone multifunction. The analysis in this paper is self-contained, and independent of previous work on "Banach SN spaces". This version differs from the previous version because it is shown that the (well known) equivalence of quasidensity and "type (NI)" for maximally monotone sets is not true without the monotonicity assumption and that the appendix has been moved to the end of Section 10, where it rightfully belongs.

Given spherically symmetric characteristic initial data for the Einstein-scalar field system with a positive cosmological constant, we provide a criterion, in terms of the dimensionless size and dimensionless renormalized mass content of an annular region of the data, for the formation of a future trapped surface. This corresponds to an extension of Christodoulou's classical criterion by the inclusion of the cosmological term.

We prove that all non-degenerate relative equilibria of the planar Newtonian $n$--body problem can be continued to spaces of constant curvature $kappa$, positive or negative, for small enough values of this parameter. We also compute the extension of some classical relative equilibria to curved spaces using numerical continuation. In particular, we extend Lagrange's triangle configuration with different masses to both positive and negative curvature spaces.

Event-related desynchronization and synchronization (ERD/S) and movement-related cortical potential (MRCP) play an important role in brain-computer interfaces (BCI) for lower limb rehabilitation, particularly in standing and sitting. However, little is known about the differences in the cortical activation between standing and sitting, especially how the brain's intention modulates the pre-movement sensorimotor rhythm as they do for switching movements. In this study, we aim to investigate the decoding of continuous EEG rhythms during action observation (AO), motor imagery (MI), and motor execution (ME) for standing and sitting. We developed a behavioral task in which participants were instructed to perform both AO and MI/ME in regard to the actions of sit-to-stand and stand-to-sit. Our results demonstrated that the ERD was prominent during AO, whereas ERS was typical during MI at the alpha band across the sensorimotor area. A combination of the filter bank common spatial pattern (FBCSP) and support vector machine (SVM) for classification was used for both offline and pseudo-online analyses. The offline analysis indicated the classification of AO and MI providing the highest mean accuracy at 82.73$pm$2.38\% in stand-to-sit transition. By applying the pseudo-online analysis, we demonstrated the higher performance of decoding neural intentions from the MI paradigm in comparison to the ME paradigm. These observations led us to the promising aspect of using our developed tasks based on the integration of both AO and MI to build future exoskeleton-based rehabilitation systems.

Funding the production of quality online content is a pressing problem for content producers. The most common funding method, online advertising, is rife with well-known performance and privacy harms, and an intractable subject-agent conflict: many users do not want to see advertisements, depriving the site of needed funding.

Because of these negative aspects of advertisement-based funding, paywalls are an increasingly popular alternative for websites. This shift to a "pay-for-access" web is one that has potentially huge implications for the web and society. Instead of a system where information (nominally) flows freely, paywalls create a web where high quality information is available to fewer and fewer people, leaving the rest of the web users with less information, that might be also less accurate and of lower quality. Despite the potential significance of a move from an "advertising-but-open" web to a "paywalled" web, we find this issue understudied.

This work addresses this gap in our understanding by measuring how widely paywalls have been adopted, what kinds of sites use paywalls, and the distribution of policies enforced by paywalls. A partial list of our findings include that (i) paywall use is accelerating (2x more paywalls every 6 months), (ii) paywall adoption differs by country (e.g. 18.75% in US, 12.69% in Australia), (iii) paywalls change how users interact with sites (e.g. higher bounce rates, less incoming links), (iv) the median cost of an annual paywall access is $108 per site, and (v) paywalls are in general trivial to circumvent.

Finally, we present the design of a novel, automated system for detecting whether a site uses a paywall, through the combination of runtime browser instrumentation and repeated programmatic interactions with the site. We intend this classifier to augment future, longitudinal measurements of paywall use and behavior.

We develop a Learning Direct Optimization (LiDO) method for the refinement of a latent variable model that describes input image x. Our goal is to explain a single image x with an interpretable 3D computer graphics model having scene graph latent variables z (such as object appearance, camera position). Given a current estimate of z we can render a prediction of the image g(z), which can be compared to the image x. The standard way to proceed is then to measure the error E(x, g(z)) between the two, and use an optimizer to minimize the error. However, it is unknown which error measure E would be most effective for simultaneously addressing issues such as misaligned objects, occlusions, textures, etc. In contrast, the LiDO approach trains a Prediction Network to predict an update directly to correct z, rather than minimizing the error with respect to z. Experiments show that our LiDO method converges rapidly as it does not need to perform a search on the error landscape, produces better solutions than error-based competitors, and is able to handle the mismatch between the data and the fitted scene model. We apply LiDO to a realistic synthetic dataset, and show that the method also transfers to work well with real images.

We consider the problem of efficiently simulating population protocols. In the population model, we are given a distributed system of $n$ agents modeled as identical finite-state machines. In each time step, a pair of agents is selected uniformly at random to interact. In an interaction, agents update their states according to a common transition function. We empirically and analytically analyze two classes of simulators for this model.

First, we consider sequential simulators executing one interaction after the other. Key to the performance of these simulators is the data structure storing the agents' states. For our analysis, we consider plain arrays, binary search trees, and a novel Dynamic Alias Table data structure.

Secondly, we consider batch processing to efficiently update the states of multiple independent agents in one step. For many protocols considered in literature, our simulator requires amortized sub-constant time per interaction and is fast in practice: given a fixed time budget, the implementation of our batched simulator is able to simulate population protocols several orders of magnitude larger compared to the sequential competitors, and can carry out $2^{50}$ interactions among the same number of agents in less than 400s.

Deep learning-based object detection and instance segmentation have achieved unprecedented progress. In this paper, we propose Complete-IoU (CIoU) loss and Cluster-NMS for enhancing geometric factors in both bounding box regression and Non-Maximum Suppression (NMS), leading to notable gains of average precision (AP) and average recall (AR), without the sacrifice of inference efficiency. In particular, we consider three geometric factors, i.e., overlap area, normalized central point distance and aspect ratio, which are crucial for measuring bounding box regression in object detection and instance segmentation. The three geometric factors are then incorporated into CIoU loss for better distinguishing difficult regression cases. The training of deep models using CIoU loss results in consistent AP and AR improvements in comparison to widely adopted $ell_n$-norm loss and IoU-based loss. Furthermore, we propose Cluster-NMS, where NMS during inference is done by implicitly clustering detected boxes and usually requires less iterations. Cluster-NMS is very efficient due to its pure GPU implementation, , and geometric factors can be incorporated to improve both AP and AR. In the experiments, CIoU loss and Cluster-NMS have been applied to state-of-the-art instance segmentation (e.g., YOLACT), and object detection (e.g., YOLO v3, SSD and Faster R-CNN) models. Taking YOLACT on MS COCO as an example, our method achieves performance gains as +1.7 AP and +6.2 AR$_{100}$ for object detection, and +0.9 AP and +3.5 AR$_{100}$ for instance segmentation, with 27.1 FPS on one NVIDIA GTX 1080Ti GPU. All the source code and trained models are available at https://github.com/Zzh-tju/CIoU

Despite recent progress on computer vision and natural language processing, developing video understanding intelligence is still hard to achieve due to the intrinsic difficulty of story in video. Moreover, there is not a theoretical metric for evaluating the degree of video understanding. In this paper, we propose a novel video question answering (Video QA) task, DramaQA, for a comprehensive understanding of the video story. The DramaQA focused on two perspectives: 1) hierarchical QAs as an evaluation metric based on the cognitive developmental stages of human intelligence. 2) character-centered video annotations to model local coherence of the story. Our dataset is built upon the TV drama "Another Miss Oh" and it contains 16,191 QA pairs from 23,928 various length video clips, with each QA pair belonging to one of four difficulty levels. We provide 217,308 annotated images with rich character-centered annotations, including visual bounding boxes, behaviors, and emotions of main characters, and coreference resolved scripts. Additionally, we provide analyses of the dataset as well as Dual Matching Multistream model which effectively learns character-centered representations of video to answer questions about the video. We are planning to release our dataset and model publicly for research purposes and expect that our work will provide a new perspective on video story understanding research.

Public key encryption with equality test (PKEET) allows testing whether two ciphertexts are generated by the same message or not. PKEET is a potential candidate for many practical applications like efficient data management on encrypted databases. Potential applicability of PKEET leads to intensive research from its first instantiation by Yang et al. (CT-RSA 2010). Most of the followup constructions are secure in the random oracle model. Moreover, the security of all the concrete constructions is based on number-theoretic hardness assumptions which are vulnerable in the post-quantum era. Recently, Lee et al. (ePrint 2016) proposed a generic construction of PKEET schemes in the standard model and hence it is possible to yield the first instantiation of PKEET schemes based on lattices. Their method is to use a $2$-level hierarchical identity-based encryption (HIBE) scheme together with a one-time signature scheme. In this paper, we propose, for the first time, a direct construction of a PKEET scheme based on the hardness assumption of lattices in the standard model. More specifically, the security of the proposed scheme is reduces to the hardness of the Learning With Errors problem.

The interoperability of proof assistants and the integration of their libraries is a highly valued but elusive goal in the field of theorem proving. As a preparatory step, in previous work, we translated the libraries of multiple proof assistants, specifically the ones of Coq, HOL Light, IMPS, Isabelle, Mizar, and PVS into a universal format: OMDoc/MMT.

Each translation presented tremendous theoretical, technical, and social challenges, some universal and some system-specific, some solvable and some still open. In this paper, we survey these challenges and compare and evaluate the solutions we chose.

We believe similar library translations will be an essential part of any future system interoperability solution and our experiences will prove valuable to others undertaking such efforts.

[IMAGE-1] Before smartphones and Instagram, there were influencers, and they could be as shallow, overconfident and pejorative as they are today. This new adaptation of Jane Austen's Emma — the feature debuts of photographer and music-video director Autumn de Wilde and Man Booker Prize-winning novelist turned screenwriter Eleanor Catton — brings that sort of modern frisson to its retelling of the tale of a very rich young woman who amuses herself by interfering in the romantic lives of those around her.…

While not every musician has taken to the internet to perform live shows during the (almost) nationwide lockdown, it sure seems that way. At least, it does according to my social media feeds, which lean heavily on bands and solo artists.…

Gonzaga Athletic Director Mike Roth took to the Zoom online meeting app Wednesday for a lengthy chat with members of the school community, fans and media to answer questions about college sports in the era of COVID-19. Like so many things regarding the coronavirus, there are a lot of hopes for a rapid return to normalcy — all of them couched in the reality that none of us really know how the pandemic is going to affect our lives three months from now, or six months down the line.…

While its main goal is to introduce the humble breakfast taco to more Spokane eaters, owners of the new quick food stop Taco Vado say breakfast burritos have actually been its bestselling menu item since opening about a month ago.…

ProPublica’s health reporter Caroline Chen explains what the conversation around asymptomatic coronavirus carriers is missing, and what we need to understand if we’re going to beat this nefarious virus together. By Caroline Chen, ProPublica In the early days of the coronavirus outbreak in the U.S., around the last week of February, I joked to a colleague that maybe now, finally, people would learn how to wash their hands properly.…

Disclosed are oil-extended olefin block copolymer compositions with precipitated silica. The precipitated silica reduces oil-bleed while maintaining composition softness.

Disclosed are oil-extended olefin block copolymer compositions with microcrystalline wax. The microcrystalline wax reduces oil-bleed while maintaining composition softness.

A method of creating a semiconductor device is disclosed. An end of a carbon nanotube is unzipped to provide a substantially flat surface. A contact of the semiconductor device is formed. The substantially flat surface of the carbon nanotube is coupled to the contact to create the semiconductor device. An energy gap in the unzipped end of the carbon nanotube may be less than an energy gap in a region of the carbon nanotube outside of the unzipped end region.

The present invention relates to epoxy group-terminated polymers of the formula (I). Said epoxy group-terminated polymers are suited extremely well as impact resistance modifiers, particularly in epoxy resin compositions. They are particularly suited for use in heat-curing epoxy resin adhesives. It has been found that such epoxy resin compositions not only have excellent mechanical properties and high glass transition temperatures, but also above all improved impact resistance properties, both at room temperature and at low temperatures.

Bis-Phenol A (BPA) can now be replaced in industrial processes by BPA substitutes. The BPA substitutes can have structures that are derivatives of BPA. The BPA substitutes can be used in preparing epoxy composition, polycarbonate compositions, and polysulfonate compositions or for other uses in place of BPA.

Provided are a thermosetting adhesive composition excellent in storage stability, reliability, and low-temperature adhesion properties; and a curl-resistant heat-resistant film and a wiring film obtained using the composition. The thermosetting adhesive composition includes 100 parts by weight of a phenoxy resin having a bisphenol S skeleton in the structure thereof; 5 to 30 parts by weight of a maleimide compound containing a plurality of maleimide groups in the structure thereof; and 3 to 20 vol % of an inorganic needle-like filler. The heat resistant adhesive film is obtained by applying the thermosetting adhesive composition onto a polyimide film, followed by drying. The wiring film is obtained by placing a conductor wiring layer on the heat resistant adhesive film.

Aqueous copolymer dispersions for a variety of uses, including coating compositions or binders for plasters and paints, are disclosed. The aqueous copolymer dispersions may comprise one or more silicon containing compounds, in particular hydrolyzable silane compounds without any additional reactive group.

A two step process for the destruction of a precursor material using a steam plasma in a three zone reactor wherein the precursor material is hydrolyzed as a first step in the high temperature zone of the reactor, followed by a second step of medium temperature oxidation of the reactant stream in the combustion zone of the reactor where combustion oxygen or air is injected and immediate quenching of the resulting gas stream to avoid the formation of unwanted by-products. A related apparatus includes a non transferred direct current steam plasma torch, an externally cooled three zone steam plasma reactor means for introducing the precursor material into the plasma plume of the plasma torch, means for introducing the combustion air or oxygen into the combustion zone, means for exiting the reactant mixture from the reactor and means for quenching the reactant mixture located at the exit end of the reactor.

Method of stabilizing radium present in radium-containing effluent, in which the effluent and a metal chloride are mixed, then the previously obtained mixture is reacted with a sulfate ion to obtain effluent containing stabilized radium. The chloride can be a barium, strontium or lead chloride. The sulfate ion can be supplied by the addition of sulfuric acid, sulfuric anhydride, soluable sulfate or soluble sulfate salt. The method applies in particular to the treatment of solid radium-containing effluents or effluents containing substances in suspension coming from chemistry or metallurgy of zirconium or treatment of uranium-containing minerals.

A method is provided for decimating a digital signal by a factor of M and matching it to a desired channel bandwidth. The method applies the digital signal input samples to a (M−1) stage tapped delay line, downsamples the input samples and the output samples of each tapped delay line stage by a factor of M, and applies each of the M downsampled sample value streams to M allpass IIR filters, respectively. The M allpass IIR filtered sample streams are then summed and scaled by a factor of 1/M. The result can then be filtered by a digital channel filter.

The present invention relates to methods for making oxidation resistant homogenized polymeric materials and medical implants that comprise polymeric materials, for example, ultra-high molecular weight polyethylene (UHMWPE). The invention also provides methods of making antioxidant-doped medical implants, for example, doping of medical devices containing cross-linked UHMWPE with vitamin E by diffusion and annealing the anti-oxidant doped UHMWPE in a super critical fluid, and materials used therein.

The present disclosure relates to a thermally resistant optical siloxane resin composition including siloxane containing photo-cationically polymerizable epoxy group, a photo initiator, and an antioxidant.

A video player instance may be prioritized and decoding and rendering resources may be assigned to the video player instance accordingly. A video player instance may request use of a resource combination. Based on a determined priority a resource combination may be assigned to the video player instance. A resource combination may be reassigned to another video player instance upon detection that the previously assigned resource combination is no longer actively in use.

A method for preparing 13C labeled iodotridecane represented by Formula A: The method comprises the conversion of 13C labeled propargyl alcohol to 13C labeled iodotridecane via alkylation of propargyl alcohol with iododecane.

Emulsions, and processes for making the emulsions, useful for imparting water resistance to gypsum products are disclosed. Process for making the emulsion and gypsum products made from the emulsion are also disclosed. The emulsions of the invention include at least one paraffin wax and a hydrophilic metallic salt. The emulsions of the invention may further include a saponifiable wax substitute for montan wax. The emulsions of the invention may further include a biocide.

Emulsions, and processes for making the emulsions, useful for imparting water resistance to gypsum products are disclosed. Process for making the emulsion and gypsum products made from the emulsion are also disclosed. The emulsions of the invention include at least one paraffin wax and a hydrophilic metallic salt. The emulsions of the invention may further include a saponifiable wax substitute for montan wax. The emulsions of the invention may further include a biocide.

Graphical programming or modeling environments in which a coding standard can be applied to graphical programs or models are disclosed. The present invention provides mechanisms for applying the coding standard to graphical programs/models in the graphical programming/modeling environments. The mechanisms may detect violations of the coding standard in the graphical model and report such violations to the users. The mechanisms may automatically correct the graphical model to remove the violations from the graphical model. The mechanisms may also automatically avoid the violations in the simulation and/or code generation of the graphical model.

The use is described (i)(a) of a single alcohol of formula (1) or(i)(b) of a mixture comprising or consisting of two or more different alcohols of formula (1), wherein in each case one of the two radicals Ra or Rb represents hydrogen and in each case the other radical Ra or Rb represents an acyl radical having 2 to 6 C atoms,for reducing an odororas an auxiliary for reducing an odor.

The present invention primarily concerns certain 4-alkyl pyridines of the following formula (I), wherein R is C8-C12 alkyl, odiferous substance mixtures and aromatic substance mixtures containing these 4-alkyl pyridines, the respective uses thereof as an odiferous or aromatic substance (mixture) and corresponding perfumed products.

An apparatus and an article of manufacture for controlling a voice site using a haptic input modality include validating a haptic input from an instrument capable of accessing a voice site, processing the haptic input on a server to determine a voice site command corresponding to the haptic input, and processing the voice site command at the server to control an interaction with the voice site.

Some embodiments of the inventive subject matter include a method for detecting speech loss and supplying appropriate recollection data to the user. Such embodiments include detecting a speech stream from a user, converting the speech stream to text, storing the text, detecting an interruption to the speech stream, wherein the interruption to the speech stream indicates speech loss by the user, searching a catalog using the text as a search parameter to find relevant catalog data and, presenting the relevant catalog data to remind the user about the speech stream.

Described herein are systems and methods for enabling a collaborative remote desktop environment. The system includes a computing device and a first application instance that has an application state associated therewith. The first application instance includes, or is associated with, a current state component and application data/data files. The system further includes an application launcher that is used to instantiate a second application instance operating either on the same or on a different computing device. The second application instance similarly has an application state associated therewith and is associated with the application launcher. Upon receiving a request from the second user to interact with the first application instance, the application state and the application data/data files are communicated to the application launcher, and the application launcher instantiates the second application instance so that its state is substantially identical to that of the first application instance.

A method for depositing a wear-resistant decorative coating on a substrate, comprising a first stage of vacuum deposition on the surface of the substrate of a layer of at least one metal of the group titanium, zirconium, hafnium, vanadium, niobium, tantalum, chromium, molybedenum, tungsten and aluminium, to which is added at least one element of the group carbon, nitrogen, oxygen, boron, silicon, fluorine, chlorine, sulfur and phosphorus; a second stage including activation of the first layer by ionic bombardment under vacuum conditions and simultaneous deposition of a second fine layer of a metal or metal alloy; and a third stage involving galvanic deposition of a third layer of a decorative metal coating over the second layer.

Provided is a method and system for reducing duplicate buffers in buffer cache associated with a storage device. Reducing buffer duplication in a buffer cache includes accessing a file reference pointer associated with a file in a deduplicated filesystem when attempting to load a requested data block from the file into the buffer cache. To determine if the requested data block is already in the buffer cache, aspects of the invention compare a fingerprint that identifies the requested data block against one or more fingerprints identifying a corresponding one or more sharable data blocks in the buffer cache. A match between the fingerprint of the requested data block and the fingerprint from a sharable data block in the buffer cache indicates that the requested data block is already loaded in buffer cache. The sharable data block in buffer cache is used instead thereby reducing buffer duplication in the buffer cache.

The present invention concerns a TCTP antagonist, in particular a nucleic acid targeting an m RNA encoding Translationally-Controlled Tumor Protein (TCTP), wherein said nucleic acid is capable of reducing the amount of TCTP in cells, for use in the treatment or prevention of hormone-independent cancer or chemo-resistant cancer, such as an androgen-independent prostate cancer.

The present invention relates to organometallic compounds useful in the treatment of metastasis. The organometallic compounds comprise a ligand that is covalently bound to a bioactive compound, which is an inhibitor of a resistance pathway or a derivative thereof. Preferably, the organometallic compounds are half-sandwich (“piano-stool”) compounds. The compounds of the present invention offer a high variability with respect to the bioactive compound and to the nature of the ligand bound to a central transition metal.

Steroid compounds having increased resistance against metabolism and increased water solubility are disclosed, together with methods for their production. These substances are suitable for the manufacture of pharmaceuticals for the treatment of steroid related or steroid induced CNS disorders and for use in methods of prevention, alleviation or treatment of such disorders.