Using CSS3 to produce a set of sliding information panels for photo links.

Using CSS3 and the latest discoveries and techniques to have a click action image information panels.

A show/hide information panels using click to open and close.

Using my latest techniques to produce and improved show/hide extra information.

A set of information panels that work on touch screen devices such as iPads, IE10 tablets and Android OS tablets.

A set of rotating panels using just CSS3.

A method of displaying team photos and information panels.

Using the latest CSS techniques to bring the previous Photo Infor demo up to date.

Introduction In the context of the humanities, the last twenty... more

This research is a preliminary step for an upcoming project.... more

The project is a collaboration between DensityDesign Lab and ISI... more

Cost of private timber management practices in the United States are identified, and their relationship to timber production in general is highlighted. Costs across timber-producing regions and forest types are identified by forest type and timber management practices historically applied in each region. This includes cost estimates for activities such as forest establishment practices such as reforestation and afforestation on crop and pastureland. Establishment costs for reforestation in the Southern United States are less than in other regions, although regional differences in establishment costs are less evident in hardwood than in softwood stands. Also, included in the list of timber management costs ate the intermediate management treatments of precommercial thinning, herbicide, and fertilizer application. Intermediate management treatments are less costly in the southern United States than in other regions. Trends in timber management costs reported as part of the management costs reporting.

The Community Socioeconomic Information System (CSIS) is a tool that allows users to retrieve 1990 and 2000 U.S. census data to examine conditions and trends for communities in western Washington, western Oregon, and northern California. The tool includes socioeconomic data for 1,314 communities in the entire region, including incorporated and unincorporated places. The tool delivers socioeconomic data using mapping and database features. In addition to providing data for one community, the tool produces community-level data at a variety of scales, including communities in areas surrounding Forest Service and Bureau of Land Management lands, all communities in the Northwest Forest Plan (NWFP) region, and communities within planning provinces within the NWFP region. One feature allows users to customize community data by creating boundaries and socioeconomic data for group of selected communities. The CSIS tool was designated to increase the usefulness of socioeconomic information at the small scale. Typically community socioeconomic assessments use U.S. census designations called census places. However, census places only represent a portion of the rural population. The CSIS uses a smaller unit of analysis (block groups) that we have aggregated to represent contiguous communities across the landscape, thereby representing the entire population. Community data can be printed as reports with graphs and tables, queried within an Access database, mapped and queried as geographic information system (GIS) data within ArcExplorer (a free GIS software included), exported as a table for use in Excel, or exported as GIS data for use in ArcGIS. The tool has features that allow users to locate communities by county or state and become familiar with local geography. The CSIS includes GIS data, such as major land ownerships, political boundaries, and physical landscape features. Applications produce maps that can be printed for specific communities showing community boundaries, water features, roads, metropolitan areas, community population centers, public land ownership, census places, planning provinces, counties, and state boundaries. Or, using the spatial data provided on the CD and ArcExplorer, users can produce custom maps.

The Community Socioeconomic Information System (CSIS) is a tool that allows users to retrieve 1990 and 2000 U.S. census data to examine conditions and trends for communities in western Washington, western Oregon, and northern California. The tool includes socioeconomic data for 1,314 communities in the entire region, including incorporated and unincorporated places.

Cost of private timber management practices in the United States are identified, and their relationship to timber production in general is highlighted. Costs across timber-producing regions and forest types are identified by forest type and timber management practices historically applied in each region. This includes cost estimates for activities such as forest establishment practices such as reforestation and afforestation on crop and pastureland. Establishment costs for reforestation in the Southern United States are less than in other regions, although regional differences in establishment costs are less evident in hardwood than in softwood stands. Also, included in the list of timber management costs ate the intermediate management treatments of precommercial thinning, herbicide, and fertilizer application. Intermediate management treatments are less costly in the southern United States than in other regions. Trends in timber management costs reported as part of the management costs reporting.

The importance to society of environmental services, provided by forest ecosystems, has significantly increased during the last few decades. A growing global concern with the deterioration of forests, beginning perhaps most noticeably in the 1980s, has led to an increasing public awareness of the environmental, cultural, economic, and social values that forests provide. Around the world, ideas of sustainable, close-to-nature, and multi-functional forestry have progressively replaced the older perception of forests as only a source for timber. The international impetus to protect and sustainably manage forests has come from global initiatives at management, conservation, and sustainable development related to all types of forests and forestry. A few of the more notable initiatives include: the 1992 Earth Summit in Rio de Janeiro, Brazil (United Nations Conference on Environment and Development, UNCED); regional follow-ups to the Earth Summit such as the Montreal Process and Helsinki Accords; the forest elements of the Convention on Biological Diversity (CBD); and the Framework Convention on Climate Change (FCCC).

This report synthesizes the literature on the role of informal economic activity in the United States postindustrial economy. Informal economic activity is expanding in the United States and is likely to continue in the foreseeable future. The formal and informal economic sectors are inextricably intertwined, with individuals and households combining elements of both sectors to construct their livelihoods. Although the informal economy is often thought of as the domain of economically marginal individuals and households, virtually everyone participates in the informal economy to some extent. However, the literature highlights how factors such as social status and household position in the formal economy affect whether participation in informal economic activity is exploitative or empowering. The nontimber forest products sector serves as a case study of why it is important to consider informal economic activity when developing natural resource and economic development policy. We recommend steps policymakers can take to identify and encourage positive aspects of the informal economic activity. We also highlight several areas of research to improve understandings of the role of informal economic activity in postindustrial societies.

ALL ACCESS' Urban/UAC section is a crucial daily destination for pros carving out a place in the format. It's updated by Editor SAM WEAVER, your trusted source for all things … more

It is being headlined by the interim lightweight title bout between Tony Ferguson and Justin Gaethje

There is no excerpt because this is a protected post.

The post Protected: Arab Barometer infographic appeared first on Nicolas Rapp Design Studio - Freelance Infographic Designer.

The workforce of the 21st century is more diverse than before. Over 85% of the total global workforce comprises frontline workers. Frontline workers are essentially the employees that have to be ‘present’ to accomplish their jobs. Unlike knowledge workers who can work from anywhere, frontline workers have to be on the ‘field’ which can be...

Phishing attacks are on the rise and have more than doubled from 2013-2018. In 2018, 64% of businesses experienced a phishing attack – costing nearly $2 million per incident. 1 in 3 consumers will stop supporting a business after they’ve undergone a security breach, and 74% of hackers say they’re rarely impressed by an organization’s...

Menyampaikan Informasi Permainan Poker Secara Transparan Poker Online Resmi – Pemain wajib memperoleh keberhasilan di permainan di judi online. Pemain akan diberikan pilihan atau seleksi permainan yang banyak dan menarik di judi kasino online. Ada satu hal esensial yang melainkan bertarung di kasino online dan kasino Masyarakat Pemain tidak perlu angkat kaki dari satu kasino […]

The post Input Informasi Permainan Poker Online Resmi appeared first on Themegalaxy.

VOTE411 provides voters with information about the candidates on the ballot in the June 2 primary election. The League of Women Voters created the election-related website as a one-stop location for nonpartisan information for the public.

Each candidate was invited to respond to a set of questions. You can see their responses online at VOTE411.org. If you don’t see responses from every candidate running in your house or senate district, please contact them asking that they participate in VOTE411.

For this primary election, we are asked to vote absentee if possible. Input your address in the VOTE411.org website and get information about how to get your absentee ballot, register to vote, and who will be on your ballot.

The League of Women Voters of Iowa wants you to educate yourself and then vote in the June 2, 2020 Primary Election.

Cathy Eisenhofer

LWV Johnson County

It is a requirement that a visa applicant must fill in or complete his or her application form in a manner that all questions are answered, and no incorrect answers are given or provided. There is also a requirement that visa applicants must not provide incorrect information during interviews with the Minister for Immigration (‘Minister’), […]

The post Visa cancelled due to incorrect information given or provided to the Department of Home Affairs appeared first on Visa Australia - Immigration Lawyers & Registered Migration Agents.

COVID-19 (aka Coronavirus) has obviously been a hot topic recently, especially within the media. But how dangerous is this new virus?

The Covid-19 #Coronavirus Infographic Data Pack on Information is Beautiful gathers the current data around the world (version above is from March 31, 2020) and makes the virus more tangible to understand. The infographic makes comparisons to other diseases when it comes to incubation times and number of deaths, as well as reporting who is dying from it.

Created by David McCandless, Omid Kashan, Fabio Bergamaschi, Dr Stephanie Starling, Univers Labs

From Information Is Beautiful:

We made an infographic of the best COVID-19 / Coronavirus charts floating around, plus some of our own – all with the latest data

We’ll plan to keep it updated every few days.

They have also made all of their data accessible with a Google Sheet link: bit.ly/COVID19-DATA

With so many good and bad COVID-19 charts being published at a frantic pace, I can appreciate the design and effort here to gather some of the best data and the best visualizations together in one place.

To prevent spammers from flooding old articles with useless comments you can set WordPress to close comments after a certain […]

For those who’ve never seen TheCrafsMan SteadyCraftin on YouTube, you’re in for a treat – even if you already understand everything contained within this 25-minute video. For those who have, you know exactly what to expect. I’ve been following this rather unconventional channel for a while now. It covers a lot of handy DIY and […]

The post Watch YouTube’s most informed sock puppet teach you how to shoot with manual exposure appeared first on DIY Photography.

Communication has been quite a challenge during the COVID-19 pandemic, and data visualization hasn't been the most helpful given the low quality of the data – see Amanda Makulec's plea to think harder about making another coronavirus chart. A great example of how to do things right is the widely-circulated Flatten the Curve information graphic/cartoon. […]

Representation learning is a critical ingredient for natural language processing systems. Recent Transformer language models like BERT learn powerful textual representations, but these models are targeted towards token- and sentence-level training objectives and do not leverage information on inter-document relatedness, which limits their document-level representation power. For applications on scientific documents, such as classification and recommendation, the embeddings power strong performance on end tasks. We propose SPECTER, a new method to generate document-level embedding of scientific documents based on pretraining a Transformer language model on a powerful signal of document-level relatedness: the citation graph. Unlike existing pretrained language models, SPECTER can be easily applied to downstream applications without task-specific fine-tuning. Additionally, to encourage further research on document-level models, we introduce SciDocs, a new evaluation benchmark consisting of seven document-level tasks ranging from citation prediction, to document classification and recommendation. We show that SPECTER outperforms a variety of competitive baselines on the benchmark.

In this paper, we work on intra-variable handwriting, where the writing samples of an individual can vary significantly. Such within-writer variation throws a challenge for automatic writer inspection, where the state-of-the-art methods do not perform well. To deal with intra-variability, we analyze the idiosyncrasy in individual handwriting. We identify/verify the writer from highly idiosyncratic text-patches. Such patches are detected using a deep recurrent reinforcement learning-based architecture. An idiosyncratic score is assigned to every patch, which is predicted by employing deep regression analysis. For writer identification, we propose a deep neural architecture, which makes the final decision by the idiosyncratic score-induced weighted average of patch-based decisions. For writer verification, we propose two algorithms for patch-fed deep feature aggregation, which assist in authentication using a triplet network. The experiments were performed on two databases, where we obtained encouraging results.

In learning-to-rank for information retrieval, a ranking model is automatically learned from the data and then utilized to rank the sets of retrieved documents. Therefore, an ideal ranking model would be a mapping from a document set to a permutation on the set, and should satisfy two critical requirements: (1)~it should have the ability to model cross-document interactions so as to capture local context information in a query; (2)~it should be permutation-invariant, which means that any permutation of the inputted documents would not change the output ranking. Previous studies on learning-to-rank either design uni-variate scoring functions that score each document separately, and thus failed to model the cross-document interactions; or construct multivariate scoring functions that score documents sequentially, which inevitably sacrifice the permutation invariance requirement. In this paper, we propose a neural learning-to-rank model called SetRank which directly learns a permutation-invariant ranking model defined on document sets of any size. SetRank employs a stack of (induced) multi-head self attention blocks as its key component for learning the embeddings for all of the retrieved documents jointly. The self-attention mechanism not only helps SetRank to capture the local context information from cross-document interactions, but also to learn permutation-equivariant representations for the inputted documents, which therefore achieving a permutation-invariant ranking model. Experimental results on three large scale benchmarks showed that the SetRank significantly outperformed the baselines include the traditional learning-to-rank models and state-of-the-art Neural IR models.

For real-time semantic video segmentation, most recent works utilised a dynamic framework with a key scheduler to make online key/non-key decisions. Some works used a fixed key scheduling policy, while others proposed adaptive key scheduling methods based on heuristic strategies, both of which may lead to suboptimal global performance. To overcome this limitation, we model the online key decision process in dynamic video segmentation as a deep reinforcement learning problem and learn an efficient and effective scheduling policy from expert information about decision history and from the process of maximising global return. Moreover, we study the application of dynamic video segmentation on face videos, a field that has not been investigated before. By evaluating on the 300VW dataset, we show that the performance of our reinforcement key scheduler outperforms that of various baselines in terms of both effective key selections and running speed. Further results on the Cityscapes dataset demonstrate that our proposed method can also generalise to other scenarios. To the best of our knowledge, this is the first work to use reinforcement learning for online key-frame decision in dynamic video segmentation, and also the first work on its application on face videos.

This paper proposes a faceted information exploration model that supports coarse-grained and fine-grained focusing of geographic maps by offering a graphical representation of data attributes within interactive widgets. The proposed approach enables (i) a multi-category projection of long-lasting geographic maps, based on the proposal of efficient facets for data exploration in sparse and noisy datasets, and (ii) an interactive representation of the search context based on widgets that support data visualization, faceted exploration, category-based information hiding and transparency of results at the same time. The integration of our model with a semantic representation of geographical knowledge supports the exploration of information retrieved from heterogeneous data sources, such as Public Open Data and OpenStreetMap. We evaluated our model with users in the OnToMap collaborative Web GIS. The experimental results show that, when working on geographic maps populated with multiple data categories, it outperforms simple category-based map projection and traditional faceted search tools, such as checkboxes, in both user performance and experience.

Predicate constraints of general-purpose knowledge bases (KBs) like Wikidata, DBpedia and Freebase are often limited to subproperty, domain and range constraints. In this demo we showcase CounQER, a system that illustrates the alignment of counting predicates, like staffSize, and enumerating predicates, like workInstitution^{-1} . In the demonstration session, attendees can inspect these alignments, and will learn about the importance of these alignments for KB question answering and curation. CounQER is available at https://counqer.mpi-inf.mpg.de/spo.

An important goal in reinforcement learning is to create agents that can quickly adapt to new goals while avoiding situations that might cause damage to themselves or their environments. One way agents learn is through exploration mechanisms, which are needed to discover new policies. However, in deep reinforcement learning, exploration is normally done by injecting noise in the action space. While performing well in many domains, this setup has the inherent risk that the noisy actions performed by the agent lead to unsafe states in the environment. Here we introduce a novel approach called Meta-Learned Instinctual Networks (MLIN) that allows agents to safely learn during their lifetime while avoiding potentially hazardous states. At the core of the approach is a plastic network trained through reinforcement learning and an evolved "instinctual" network, which does not change during the agent's lifetime but can modulate the noisy output of the plastic network. We test our idea on a simple 2D navigation task with no-go zones, in which the agent has to learn to approach new targets during deployment. MLIN outperforms standard meta-trained networks and allows agents to learn to navigate to new targets without colliding with any of the no-go zones. These results suggest that meta-learning augmented with an instinctual network is a promising new approach for safe AI, which may enable progress in this area on a variety of different domains.

This paper investigates a class of optimal control problems associated with Markov processes with local state information. The decision-maker has only local access to a subset of a state vector information as often encountered in decentralized control problems in multi-agent systems. Under this information structure, part of the state vector cannot be observed. We leverage ab initio principles and find a new form of Bellman equations to characterize the optimal policies of the control problem under local information structures. The dynamic programming solutions feature a mixture of dynamics associated unobservable state components and the local state-feedback policy based on the observable local information. We further characterize the optimal local-state feedback policy using linear programming methods. To reduce the computational complexity of the optimal policy, we propose an approximate algorithm based on virtual beliefs to find a sub-optimal policy. We show the performance bounds on the sub-optimal solution and corroborate the results with numerical case studies.

In this paper, we continue our prior work on using imitation learning (IL) and model free reinforcement learning (RL) to learn driving policies for autonomous driving in urban scenarios, by introducing a model based RL method to drive the autonomous vehicle in the Carla urban driving simulator. Although IL and model free RL methods have been proved to be capable of solving lots of challenging tasks, including playing video games, robots, and, in our prior work, urban driving, the low sample efficiency of such methods greatly limits their applications on actual autonomous driving. In this work, we developed a model based RL algorithm of guided policy search (GPS) for urban driving tasks. The algorithm iteratively learns a parameterized dynamic model to approximate the complex and interactive driving task, and optimizes the driving policy under the nonlinear approximate dynamic model. As a model based RL approach, when applied in urban autonomous driving, the GPS has the advantages of higher sample efficiency, better interpretability, and greater stability. We provide extensive experiments validating the effectiveness of the proposed method to learn robust driving policy for urban driving in Carla. We also compare the proposed method with other policy search and model free RL baselines, showing 100x better sample efficiency of the GPS based RL method, and also that the GPS based method can learn policies for harder tasks that the baseline methods can hardly learn.

Perhaps no choice is as vital to marketing as color. Whether you are selecting the color for a product or for your email marketing campaign, color has a tremendous impact on all of us. Subconsciously, we associate different colors with different things. This infographic examines the psychology of color and looks at some common associations […]

The post Psychology of Color [Infographic] appeared first on WebFX Blog.

A method for performing relational analysis of parsed input is employed to create a visual map of knowledge information. A title, header or subject line for an input item of information is parsed into syntactical components of at least a subject component and any predicate component(s) relationally linked as topic and subtopics. A search of topics and subtopics is carried out for each parsed component. If a match is found, then the parsed component is taken as a chosen topic/subtopic label. If no match is found, then the parsed component is formatted as a new entry in the knowledge map. A translation function for translating topics and subtopics from an original language into one or more target languages is enabled by user request or indicated user preference for display on a generated visual map of knowledge information.

An information providing apparatus for vehicle has a remaining capacity detecting section 110 that detects a remaining capacity of a battery; a power consumption amount detecting section 130 that detects a power consumption amount of the battery; a power consumption amount history generating section 130 that generates a power consumption amount history on the basis of the power consumption amount detected by the power consumption amount detecting section 130; a charge necessity judgment information generating section 130 that generates, on the basis of the power consumption amount history generated by the power consumption amount history generating section 130, charge necessity judgment information which is information for user's judgment about whether or not charging of the battery is necessary; and a providing section 150 that provides information of the remaining capacity of the battery and the charge necessity judgment information with these information correlated with each other to the user. The information providing apparatus can properly provide the information for user's judgment about whether or not charging of the battery to the user.

A long-fiber-reinforced resin composition including (A) a long-fiber-reinforced thermoplastic resin pellet including a thermoplastic resin, a modified polyolefin-based resin modified with an unsaturated carboxylic acid or its derivative and reinforcing fiber and satisfying (A-1) the melt index of the thermoplastic resin is 100-250 g/10 min, (A-2) the relaxation time λ of the thermoplastic resin is 0.1 (sec) or less, (A-3) the content of the reinforcing fiber is 40-70 wt %, and (A-4) the content of the modified polyolefin-based resin is 1-5 wt %; and (B) a polyolefin-based resin satisfying (B-1) the melt index of the polyolefin-based resin is 20-70 g/10 min, and (B-2) the relaxation time λ of the polyolefin-based resin is 0.23 (sec) or less; wherein the content of reinforcing fiber contained in (A) is 20-60 wt % relative to the total amount of the fiber-reinforced resin composition.

To provide a method for producing a magnetic disk, whereby a magnetic recording layer is formed at a high temperature. A method for producing a magnetic disk, which comprises a step of forming a magnetic recording layer on a glass substrate having a temperature of at least 550° C., wherein the glass substrate comprises, as represented by mol percentage, from 62 to 74% of SiO2, from 6 to 18% of Al2O3, from 2 to 15% of B2O3 and from 8 to 21%, in total, of at least one component selected from MgO, CaO, SrO and BaO, provided that the total content of the above seven components is at least 95%, and further contains less than 1%, in total, of at least one component selected from Li2O, Na2O and K2O, or contains none of these three components.

The generation of individual-specific information having a good reliability and uniqueness is made possible with a little circuit scale. For this purpose, in an individual-specific information generation apparatus, a plurality of digital circuits are in the same circuit configuration. Each of the digital circuits outputs a fixed or a random number output value individually without their output with respect to a certain input being determined unambiguously among the digital circuits. In each of the digital circuit, an order is defined in advance. A random number judgment unit judges whether the output value is a random value or fixed, for each of the plurality of digital circuits. An individual-specific information generation unit generates the individual-specific information based on information of the order defined in the digital circuit judged by the random number judgment unit as having a fixed output value among the plurality of digital circuits and the output value.

Embodiments of the present invention relate to a method and an apparatus for obtaining equipment identification information, where the method includes: detecting, by using a first GPIO port, a first discharging duration for a capacitor to discharge through a resistor to be tested; detecting, by using a second GPIO port, a second discharging duration for the capacitor to discharge through a fixed value resistor; and obtaining a resistance of the resistor to be tested according to the first discharging duration, the second discharging duration, and a resistance of the fixed value resistor. The embodiments of the present invention are capable of increasing identification efficiency of the GPIO port.

An information processing apparatus includes a plurality of modules connected in a ring shape via a bus, and each module processes a packet flowing in a single direction on the ring in a predetermined order. The module includes a communication unit for transmitting a packet received from a first direction in the ring via the bus to a second direction, a discrimination unit for discriminating a packet from among the packets received from the first direction as a processing packet to be processed by the module, and a processing unit which is connected with the communication unit one by one and configured to process the processing packet. The communication unit transmits the packet processed by the processing unit at an interval equivalent to processing time or more for a processing packet processed by a module in a latter stage in the predetermined order among packets transmitted by the communication unit to the second direction.

A system, method and computer-readable media for managing a compute environment are disclosed. The method includes importing identity information from an identity manager into a module performs workload management and scheduling for a compute environment and, unless a conflict exists, modifying the behavior of the workload management and scheduling module to incorporate the imported identity information such that access to and use of the compute environment occurs according to the imported identity information. The compute environment may be a cluster or a grid wherein multiple compute environments communicate with multiple identity managers.

Embodiments of the invention are directed to a system, method, or computer program product for providing an information technology build service for building a platform in response to a service request. The invention receives a service request for the platform build from a requester, receives a plurality of platform parameters from the requester, determines whether the service request requires one or more physical machines or one or more virtual machines, and if the service request requires one or more virtual machines, initiates build of the one or more virtual machines. The invention also provisions physical and virtual storage based on received parameters, provisions physical and virtual processing power based on received parameters, and manages power of resources during the build, the managing comprising managing power ups, power downs, standbys, idles and reboots of one or more physical components being used for the build.

A processing device comprises a processor coupled to a memory and implements an obligation management system for information technology infrastructure, with the obligation management system being configured to process a plurality of obligations on behalf of a relying party to verify implementation of corresponding controls in information technology infrastructure of a claimant. A given one of the obligations has an associated obligation fulfiller that is inserted or otherwise deployed as a component within the information technology infrastructure of the claimant and is configured to provide evidence of the implementation of one or more of the controls responsive to an obligation assertion so as to establish an associated trust aspect of the claimant. The information technology infrastructure may comprise distributed virtual infrastructure of a cloud service provider. The claimant may comprise the cloud service provider and the relying party may comprise a tenant of the cloud service provider.