A gradient-analysis-based model and grid-based map are presented that use the potential vegetation zone as the object of the model. Several new variables are presented that describe the environmental gradients of the landscape at different scales. Boundary algorithms are conceptualized, and then defined, that describe the environmental boundaries between vegetation zones on the Olympic Peninsula, Washington, USA.

Mule deer populations in central Oregon are in decline, largely because of habitat loss. Several factors are likely contributors. Encroaching juniper and invasive cheatgrass are replacing deer forage with high nutritional value, such as bitterbrush and sagebrush. Fire suppression and reduced timber harvests mean fewer acres of early successional forest, which also offer forage opportunities. Human development, including homes and roads, is another factor. It is this one that scientists with the Pacific Northwest Research Station and their collaborators investigated in a recent study.

Nationally, there is growing public interest in and policy pressure for developing alternative and renewable sources of energy. Wind energy facilities in the Pacific Northwest expanded rapidly over the past decade, as a result of state policies that encourage wind energy development. While much of the development thus far has occurred on private lands, there is interest in expanding onto federal land. However, there are concerns about the impacts of wind energy on wildlife. Wind energy facilities have the potential to harm wildlife both directly through collisions with turbines and transmission lines, and indirectly by modifying habitat. This report synthesizes the available scientific literature on potential wind energy facility impacts to wildlife, with a focus on the Pacific Northwest (Oregon and Washington), and summarizes the current best management practices recommended in federal and state guidelines for wind energy development. Research gaps in our understanding of wind energy impacts on wildlife remain. Future research needs include long-term, multisite, experimental studies of wind energy impacts on wildlife, improved ability to estimate population-level and cumulative impacts of wind energy facilities on wildlife, and better knowledge of key wildlife species' migration and demography.

This guidebook contains science-based principles, processes, and tools necessary to assist with developing adaptation options for national forest lands. The adaptation process is based on partnerships between local resource managers and scientists who work collaboratively to understand potential climate change effects, identify important resource issues, and develop management options that can capitalize on new opportunities and reduce deleterious effects. Because management objectives and sensitivity of resources to climate change differ among national forests, appropriate processes and tools for developing adaptation options may also differ.

The Community Biomass Handbook Volume 4: Enterprise Development for Integrated Wood Manufacturing is a guide for creating sustainable business enterprises using small diameter logs and biomass. This fourth volume is a companion to three Community Biomass Handbook volumes: Volume 1: Thermal Wood Energy; Volume 2: Alaska, Where Woody Biomass Can Work; and Volume 3: How Wood Energy is Revitalizing Rural Alaska. This volume is designed to help business partnerships, forest managers, and community groups rapidly explore and evaluate integrated manufacturing opportunities.

The first phase of the multi million pound development in Durham city is under way and is expected to take 18 months to complete

Now all of your favorite ALLACCESS.COM content is always current and available in the palm of your hand on your mobile device with an optimized, responsive layout. Use the horizontal slider … more

There are many web apps for designer and developers out there, but getting by free and good ones is not that easy. Today, we are sharing some great tools by Google. Previously, we have already covered 9 Best Resources For Web Developers & Web Designers So, without...

The post 7 Must Check Google Tools For Web Designers & Developers appeared first on SmashingApps.com.

As the time passes by, the dependency of humans are increasing day by day on the technology and applications to manage their daily chores. But at the same time, the need of changing habits are in high need now a days due to unnatural life and tough...

The post 9 Apps to help you develop Life-changing Habits for the Worth Living Life appeared first on SmashingApps.com.

The following is a guest post by Andy Walpole. There are many parts of the Wordpress API which are fantastic but there are also other parts which, I would argue, are lacking. The Settings API was introduced in version 2.7 to allow the semi-automation of form creation. All credible Content Management Systems and frameworks have their own set of functions or classes for the same purpose. Drupal has a multitude of hooks which can be leveraged, while CodeIgniter uses a combination of the Form Validation Class and the Form Helper . When creating a Wordpress plugin recently I wanted to create a dynamic form to insert data into a field in the option database table. I decided to create a class for this purpose with the intention of creating reusable code for future projects.

Today Matt Mullenweg from MA.TT declared today official plugin developer day because the plugin directory hit 4,000 plugins, check it out: 4,000 Plugins.  

The post January 28th declared plugin developer day appeared first on WPCult.

Web designers: we’ve got fabulous news for you. With the global market expanding without limits, clients are more demanding than ever before. They understand that the highly competitive business realm requires creative websites. That’s good news: as competition increases, web development projects become more challenging. That’s good news for Be Theme too as it is […]

The post Tips on developing creative websites that will wow your clients appeared first on WebAppers.

This is it! Your one-stop shop for developer tools and resources. Designed to save you time and money, streamline project workflows, boost productivity, or all the above, Choosing the right tool for the job is never easy for several reasons. There’s a huge number to choose among, you have to know what to look for, […]

The post 6 Must Have Developer Tools and Services for Your Projects in 2019 appeared first on WebAppers.

When building new apps, the most important thing developers must decide is which language to program in. There are several languages out there, and some are preferred for certain operating...

Earlier this week, Adobe VP and General Manager Danny Winokur disclosed that the company has concluded that HTML5 is ”the best solution for creating and deploying content in the browser across mobile platforms.” The company said it would stop building Flash to run on mobile browsers. In a blog post on the new focus of Read the rest...

By Jessica Corbett Common Dreams “We face a stark choice [between] radical, disruptive changes to our physical world or radical, disruptive changes to our political and economic systems to avoid those outcomes.” As people across the globe mobilize to demand … Continue reading →

By Jessica Corbett Common Dreams “We face a stark choice [between] radical, disruptive changes to our physical world or radical, disruptive changes to our political and economic systems to avoid those outcomes.” As people across the globe mobilize to demand … Continue reading →

By Jessica Corbett Common Dreams “We face a stark choice [between] radical, disruptive changes to our physical world or radical, disruptive changes to our political and economic systems to avoid those outcomes.” As people across the globe mobilize to demand … Continue reading →

Device fingerprints like sensor pattern noise (SPN) are widely used for provenance analysis and image authentication. Over the past few years, the rapid advancement in digital photography has greatly reshaped the pipeline of image capturing process on consumer-level mobile devices. The flexibility of camera parameter settings and the emergence of multi-frame photography algorithms, especially high dynamic range (HDR) imaging, bring new challenges to device fingerprinting. The subsequent study on these topics requires a new purposefully built image dataset. In this paper, we present the Warwick Image Forensics Dataset, an image dataset of more than 58,600 images captured using 14 digital cameras with various exposure settings. Special attention to the exposure settings allows the images to be adopted by different multi-frame computational photography algorithms and for subsequent device fingerprinting. The dataset is released as an open-source, free for use for the digital forensic community.

Quantum dialogue is a process of two way secure and simultaneous communication using a single channel. Recently, a Measurement Device Independent Quantum Dialogue (MDI-QD) protocol has been proposed (Quantum Information Processing 16.12 (2017): 305). To make the protocol secure against information leakage, the authors have discarded almost half of the qubits remaining after the error estimation phase. In this paper, we propose two modified versions of the MDI-QD protocol such that the number of discarded qubits is reduced to almost one-fourth of the remaining qubits after the error estimation phase. We use almost half of their discarded qubits along with their used qubits to make our protocol more efficient in qubits count. We show that both of our protocols are secure under the same adversarial model given in MDI-QD protocol.

Neural style transfer is a well-known branch of deep learning research, with many interesting works and two major drawbacks. Most of the works in the field are hard to use by non-expert users and substantial hardware resources are required. In this work, we present a solution to both of these problems. We have applied neural style transfer to real-time video (over 25 frames per second), which is capable of running on mobile devices. We also investigate the works on achieving temporal coherence and present the idea of fine-tuning, already trained models, to achieve stable video. What is more, we also analyze the impact of the common deep neural network architecture on the performance of mobile devices with regard to number of layers and filters present. In the experiment section we present the results of our work with respect to the iOS devices and discuss the problems present in current Android devices as well as future possibilities. At the end we present the qualitative results of stylization and quantitative results of performance tested on the iPhone 11 Pro and iPhone 6s. The presented work is incorporated in Kunster - AR Art Video Maker application available in the Apple's App Store.

With the rapidly worldwide spread of Coronavirus disease (COVID-19), it is of great importance to conduct early diagnosis of COVID-19 and predict the time that patients might convert to the severe stage, for designing effective treatment plan and reducing the clinicians' workloads. In this study, we propose a joint classification and regression method to determine whether the patient would develop severe symptoms in the later time, and if yes, predict the possible conversion time that the patient would spend to convert to the severe stage. To do this, the proposed method takes into account 1) the weight for each sample to reduce the outliers' influence and explore the problem of imbalance classification, and 2) the weight for each feature via a sparsity regularization term to remove the redundant features of high-dimensional data and learn the shared information across the classification task and the regression task. To our knowledge, this study is the first work to predict the disease progression and the conversion time, which could help clinicians to deal with the potential severe cases in time or even save the patients' lives. Experimental analysis was conducted on a real data set from two hospitals with 422 chest computed tomography (CT) scans, where 52 cases were converted to severe on average 5.64 days and 34 cases were severe at admission. Results show that our method achieves the best classification (e.g., 85.91% of accuracy) and regression (e.g., 0.462 of the correlation coefficient) performance, compared to all comparison methods. Moreover, our proposed method yields 76.97% of accuracy for predicting the severe cases, 0.524 of the correlation coefficient, and 0.55 days difference for the converted time.

Software development has been changing rapidly. This development process can be influenced through changing developer friendly approaches. We can save time consumption and accelerate the development process if we can automatically guide programmer during software development. There are some approaches that recommended relevant code snippets and APIitems to the developer. Some approaches apply general code, searching techniques and some approaches use an online based repository mining strategies. But it gets quite difficult to help programmers when they need particular type conversion problems. More specifically when they want to adapt existing interfaces according to their expectation. One of the familiar triumph to guide developers in such situation is adapting collections and arrays through automated adaptation of object ensembles. But how does it help to a novice developer in real time software development that is not explicitly specified? In this paper, we have developed a system that works as a plugin-tool integrated with a particular Data Mining Integrated environment (DMIE) to recommend relevant interface while they seek for a type conversion situation. We have a mined repository of respective adapter classes and related APIs from where developer, search their query and get their result using the relevant transformer classes. The system that recommends developers titled automated objective ensembles (AOE plugin).From the investigation as we have ever made, we can see that our approach much better than some of the existing approaches.

Recently, the Edge Computing paradigm has gained significant popularity both in industry and academia. Researchers now increasingly target to improve performance and reduce energy consumption of such devices. Some recent efforts focus on using emerging RRAM technologies for improving energy efficiency, thanks to their no leakage property and high integration density. As the complexity and dynamism of applications supported by such devices escalate, it has become difficult to maintain ideal performance by static RRAM controllers. Machine Learning provides a promising solution for this, and hence, this work focuses on extending such controllers to allow dynamic parameter updates. In this work we propose an Adaptive RRAM Variability-Aware Controller, AVAC, which periodically updates Wait Buffer and batch sizes using on-the-fly learning models and gradient ascent. AVAC allows Edge devices to adapt to different applications and their stages, to improve computation performance and reduce energy consumption. Simulations demonstrate that the proposed model can provide up to 29% increase in performance and 19% decrease in energy, compared to static controllers, using traces of real-life healthcare applications on a Raspberry-Pi based Edge deployment.

Are you looking for a content management system (CMS) that will help you create the digital content you need? With so many options on the market, it’s challenging to know which one is the best CMS software for your business. On this page, we’ll take a look at the six best CMS’s for website development […]

The post 6 Best CMS Software for Website Development & SMBs appeared first on WebFX Blog.

In the Alexa Skills for Node.JS ASK SDK development world, the Alexa Skills Kit (ASK) Command-Line Interface (CLI) is one of the most overlooked tools.

Boosting Developer Productivity

With proper use, one could really increase productivity when developing Alexa Skills. This is especially so if you are creating many Alexa Skills, either because you are in the learning process or you are just managing multiple Alexa Skills projects for yourself or your clients.

.NET is indeed an important application development platform, as it's secure, robust, and quite easy to learn and implement. Developers are widely using the .NET framework to build web applications and even modernize legacy programming based applications into .NET-based ones. .NET developers also use many third-party tools to carry out development. These tools have proven to provide the best support for development.

Here are some of the top useful tools being used by many.NET development teams, .NET developers, individual .NET programmers, etc.

By Erica L. Green The New York Times Company…

A compound represented by Formula 1 below and an organic light-emitting device including an organic layer containing the compound of Formula 1: wherein R1 to R4, X and Y, a and b, and m and n are defined as in the specification.

A spiking neuron-based working memory device is provided. The spiking neuron-based working memory device includes an input interface configured to convert input spike signals into respective burst signals having predetermined forms, and output a sequence of the burst signals, the burst signals corresponding to the input spike signals in a burst structure, and two or more memory elements (MEs) configured to sequentially store features respectively corresponding to the outputted sequence of the burst signals, each of the MEs continuously outputting spike signals respectively corresponding to the stored features.

Methods, apparatuses and articles of manufacture for use in a mobile device to determine whether a dynamic user profile is to transition from a first state to a second state based, at least in part, on one or more sensed indicators. The dynamic user profile may be indicative of one or more current inferable user behavior contexts for a user co-located with the mobile device. The mobile device may transition a dynamic user profile from a first state to a second state, in response to a determination that the dynamic user profile is to transition from the first state to the second state, and operatively affect one or more functions performed, at least in part, by the mobile device based, at least in part, on the transition of the dynamic user profile to the second state.

The present invention provides a use of a lipid composition for the preparation of a nutritional, pharmaceutical or nutraceutical composition or a functional food, for the prevention and treatment of gastrointestinal diseases and disorders, and for promoting intestinal development, maturation, adaptation and differentiation.

Disclosed are a ferrocene-containing conductive polymer, an organic memory device using the conductive polymer and a method for fabricating the organic memory device. The conductive polymer may include a fluorenyl repeating unit, a thienyl repeating unit and a diarylferrocenyl repeating unit. The organic memory device may possess the advantages of rapid switching time, decreased operating voltage, decreased fabrication costs and increased reliability. Based on these advantages, the organic memory device may be used as a highly integrated, large-capacity memory device.

Provided is a light-emitting glass which is applicable to, e.g., white illuminators including a light-emitting diode as a light source, and which emits light of a warm white color when irradiated with near ultraviolet light and combines long-term weatherability with high heat resistance; a light-emitting device containing same and a process for producing same. The light-emitting glass includes, as the base glass, borosilicate or silicate glass having a separated-phase structure, whereby the base glass is efficiently doped with, for example, transition metal ion clusters which emit light of a warm white color upon irradiation with near ultraviolet light. With this glass, it is possible to attain increases in excitation wavelength and emission wavelength. The glass thus emits, based on a multiple scattering effect, high-intensity light of a warm white color upon irradiation with near ultraviolet light.

The present invention is directed to an electroconductive silver thick film paste composition comprising Ag, a glass frit and rhodium resinate, Cr2O3 or a mixture thereof all dispersed in an organic medium. The present invention is further directed to an electrode formed from the paste composition and a semiconductor device and, in particular, a solar cell comprising such an electrode. The paste is particularly useful for forming a tabbing electrode.

To provide a glass ceramic body wherein the deterioration of the reflectance due to black coloration is suppressed, and the unevenness of the firing shrinkage is suppressed. A glass ceramic body comprising a glass matrix and alumina particles dispersed therein, wherein the glass matrix is not crystallized, a ceramic part composed of the dispersed alumina particles has an α-alumina crystal structure and a crystal structure other than the α-alumina crystal structure.

The present invention relates to a chemically strengthened glass for a display device, having a visible light transmittance Tva of 50% or more and less than 91% at a thickness of 1 mm using A light source, and an excitation purity Pe of less than 0.5% at a thickness of 1 mm.

A method for analysis of an object dyed with fluorescent coloring agents. Separately fluorescing visible molecules or nanoparticles are periodically formed in different object parts, the laser produces the oscillation thereof which is sufficient for recording the non-overlapping images of the molecules or nanoparticles and for decoloring already recorded fluorescent molecules, wherein tens of thousands of pictures of recorded individual molecule or nanoparticle images, in the form of stains having a diameter on the order of a fluorescent light wavelength multiplied by a microscope amplification, are processed by a computer for searching the coordinates of the stain centers and building the object image according to millions of calculated stain center co-ordinates corresponding to the co-ordinates of the individual fluorescent molecules or nanoparticles. Two-dimensional and three-dimensional images are provided for proteins, nucleic acids and lipids with different coloring agents.

A nano-ionic memory device is provided. The memory device includes a substrate, a chemically inactive lower electrode provided on the substrate, a solid electrolyte layer provided on the lower electrode and including a silver (Ag)-doped telluride (Te)-based nano-material, and an oxidizable upper electrode provided on the electrolyte layer.

A nanostructure, an optical device including the nanostructure, and methods of manufacturing the nanostructure and the optical device. A method of manufacturing a nanostructure may include forming a block copolymer template layer and a precursor pattern of metal coupled to the block copolymer template layer on a graphene layer, and forming a metal nanopattern on the graphene layer by removing the block copolymer template layer and reducing the precursor pattern.

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.

Methods using a sequence of externally generated magnetic fields to initialize the magnetization directions of each of the layers in perpendicular MTJ MRAM elements for data and reference bits when the required magnetization directions are anti-parallel are described. The coercivity of the fixed pinned and reference layers can be made unequal so that one of them can be switched by a magnetic field that will reliably leave the other one unswitched. Embodiments of the invention utilize the different effective coercivity fields of the pinned, reference and free layers to selectively switch the magnetization directions using a sequence of magnetic fields of decreasing strength. Optionally the chip or wafer can be heated to reduce the required field magnitude. It is possible that the first magnetic field in the sequence can be applied during an annealing step in the MRAM manufacture process.

Device for forming, on a nanowire made of a semiconductor, an alloy of this semiconductor with a metal or metalloid by bringing this nanowire into contact with electrically conductive metal or metalloid probes and Joule heating the nanowire at the points of contact with the probes so as to form an alloy such as a silicide. Application to the production of controlled-channel-length metal-silicide transistors.

Disclosed are soft, high refractive index, acrylic device materials. The materials contain a copolymeric additive for glistening resistance.

Set of compositions for preparing system-in-package type semiconductor device. The composition set consists of underfill composition for preparing underfill part and encapsulation resin composition for preparing resin encapsulation part. 1) A cured product of the underfill composition has a glass transition temperature, Tg, ≧100° C. and is the same with or differs from a Tg of a cured product of the encapsulation resin composition by ≦20° C. 2) Total linear expansion coefficient of the cured product of the underfill composition at a temperature not higher than (Tg−30)° C. and a linear expansion coefficient of the cured product of the encapsulation resin composition at a temperature not higher than (Tg−30)° C. is ≦42 ppm/° C. 3) A ratio of the linear expansion coefficient of the cured product of the encapsulation resin composition to the linear expansion coefficient of the cured product of the underfill composition ranges from 0.3 to 1.0.

Disclosed is an epoxy resin composition used for encapsulation of a semiconductor containing an epoxy resin (A), a curing agent (B), an inorganic filler (C) and a mold releasing agent, in which the mold releasing agent contains a compound (D) having a copolymer of an α-olefin having 28 to 60 carbon atoms and a maleic anhydride esterified with a long chain aliphatic alcohol having 10 to 25 carbon atoms.

The invention in particular has as an object detecting incompatibility between equipment items of a on-board system. A logic interface associated with one equipment item comprises at least one input while a logic interface associated with another equipment item comprises at least one output. The input and the output are connected. After a minimal data definition level associated with the input and a data definition level associated with the output have been obtained (505), the said minimal data definition level associated with the input is compared (515) with the said data definition level associated with the output. Following this comparison, if the said minimal data definition level associated with the input is lower than the said data definition level associated with the output, an alarm indicating an incompatibility of these two equipment items is generated (545).

Within a radio communication network infrastructure transmitting data organized into a sequence of symbols to a receiving device over a plurality of radio links, data to be transmitted is encoded according to an error correction coding scheme in order to produce a set of systematic symbols and a set of corresponding redundancy symbols; the systematic symbols and a first subset of the corresponding redundancy symbols are transmitted, over a first radio link among said plurality of radio links, in broadcast mode, and a second subset of the corresponding redundancy symbols, distinct from the first one, is transmitted over a second radio link among said plurality of radio links.