This is a demonstration for generating 3D online Visualisation of molecular structure using DCM plugins. A selection of the molecules, including calcium chloride (CaCl2), bromine trifluoride (BrF3), germane (GeH4), antimony pentachloride (SbCl5) and tellurium hexafluoride (TeF6), are included as examples.

We consider a two-step estimation procedure to estimate the panel sample selection models with interactive effects. In the first step, we follow the Robinson (1988) procedure to remove the sample selection factors. In the second step, we control the interactive effects. When the cross-section dimension N is large, we propose to use the Pesaran (2006) common correlated effects approach, and when the time series dimension T is large and N is finite we propose to follow the Hsiao, Shi, and Zhou (2022) transformed estimation procedure to eliminate the interactive effects. We show that the resulting estimators are consistent and asymptotically normally distributed. A limited Monte Carlo study is conducted, showing our methods appear to work well in a finite sample. An empirical illustration on female wage rate determination shows that an extra year of work experience could raise the expected log wage rate by 0.1507 under our maintained hypothesis, while neglecting sample selection or interactive effects could lead to seriously biased estimates.

The Product Line Architecture (PLA) is one of the most important artifacts of a Software Product Line (SPL). PLA design can be formulated as an interactive optimization problem with many conflicting factors. Incorporate Decision Makers’ (DM) preferences during the search process may help the algorithms to find more adequate solutions for their profiles. Interactive approaches allow the DM to evaluate solutions, guiding the optimization according to their preferences. However, this brings up human fatigue problems caused by the excessive amount of interactions and solutions to evaluate. A common strategy to prevent this problem is limiting the number of interactions and solutions evaluated by the DM. Machine Learning (ML) models were also used to learn how to evaluate solutions according to the DM profile and replace them after some interactions. Feature selection performs an essential task as non-relevant and/or redundant features used to train the ML model can reduce the accuracy and comprehensibility of the hypotheses induced by ML algorithms. This work aims to select features of a ML model used to prevent human fatigue in an interactive search-based PLA design approach. We applied four selectors and through results we were able to reduce 30% of features, obtaining an accuracy of 99%.

Interactive Legend allows for filtering layers in your map by toggling the visibility of features based categories and ranges in the legend. Choose from a pre-configured set of visualization modes to apply layer effects in your app based on features or groups of features that are selected in the legend. Include the export tool to allow viewers to capture images of the map.Examples:Form a better understanding of the spatial relationship between map features by toggling the visibility of the content.Support presentations of economic data relevant to the numerical range values of interest during a seminar or presentation.Analyze crime data to facilitate decision-making of law enforcement distribution pertaining to specific crime categories. Data RequirementsThis application requires a feature layer to take full advantage of its capabilities. For more information, see the Layers help topic for more details.Supported Drawing StylesLocation (Single Symbol)Types (Unique symbols)Counts and amounts (Size) - Classify Data CheckedCounts and Amounts (Color) - Classify Data CheckedRelationshipRelationship and Size (Partially Interactive)Predominant CategoryPredominant Category and Size (Partially interactive)Types and Size (Partially interactive)For instructions on how to modify the legend drawing style, see this topic: change styleKey App CapabilitiesChoose from predefined visualization modes to apply layer effects to highlight selected featuresZoom to - Allow app viewers to zoom to the extent of the features selected in the legendFeature count - Include a feature count for items that are selected in the legendChoose between two layout options for the legend, the default floating style or placed in a side panel of the appExport - Capture an image of the map to exportTime filter - Filter features in the map using time enabled layersLanguage switcher - Publish a multilingual app that combines your translated custom text and the UI translations for supported languagesHome, Zoom Controls, Legend, Layer List, SearchSupportabilityThis web app is designed responsively to be used in browsers on desktops, mobile phones, and tablets. We are committed to ongoing efforts towards making our apps as accessible as possible. Please feel free to leave a comment on how we can improve the accessibility of our apps for those who use assistive technologies.

Sparsity learning with known grouping structure has received considerable attention due to wide modern applications in high-dimensional data analysis. Although advantages of using group information have been well-studied by shrinkage-based approaches, benefits of group sparsity have not been well-documented for greedy-type methods, which much limits our understanding and use of this important class of methods. In this paper, generalizing from a popular forward-backward greedy approach, we propose a new interactive greedy algorithm for group sparsity learning and prove that the proposed greedy-type algorithm attains the desired benefits of group sparsity under high dimensional settings. An estimation error bound refining other existing methods and a guarantee for group support recovery are also established simultaneously. In addition, we incorporate a general M-estimation framework and introduce an interactive feature to allow extra algorithm flexibility without compromise in theoretical properties. The promising use of our proposal is demonstrated through numerical evaluations including a real industrial application in human activity recognition at home. Supplementary materials for this article are available online.

Street Overlay Map for the City of Liberty. This map shows streets that were overlaid the past 10 years as well as the current proposed overlay.This map is set up is set up with an interactive legend for each overlay year. You can filter by year by selecting the year in the legend and you can zoom to each year. You can show the past 10 years of overlay by selecting Show All. Street segments can be selected on the map to find out more information for said street overlay.

This interactive map displays key education indicators for elementary schools in Georgia. Data is derived from the Governor’s Office of Student Achievement for the years 2010 through 2016. Key indicators include reading and math achievement levels, school demographics, absenteeism, and CRCT scores. The map uses the Weave interactive platform, which allows the user to select data variables and customize related data visualizations (charts/graphs).

Complete dataset used in the research study on The Future of Storytelling: Interactive Narratives and Player Choices by Dr. James Williams

DeLisle&Rowe_JEB_DATA

IntroductionMultifarious selective pressures can interact to affect species’ life history evolution, with predation and thermal exposure as selective pressures for nesting birds. Gray Vireos (Vireo vicinior) seemingly nest on the periphery of their nesting substrate because of lower predation rates, thereby increasing exposure to weather. We explored how nest placement and vegetation structure can be used to account for the increased weather exposure that Gray Vireos experience when nesting on the periphery of the nesting substrate to avoid predation.MethodsFor each Gray Vireo nest, we placed temperature and light data loggers at three locations: at the nest site, at the opposite orientation of the nest within the nesting tree, and at the same orientation of the nest but in an adjacent tree. To measure nest orientation, we recorded the inverse compass azimuth (+/−1°) from the nest toward the trunk of the nesting tree, while accounting for declination. Nest temperatures and light exposure were compared across various dimensions of nest placement.ResultsThe orientation of nests was cooler than the opposite orientation in the mornings and in the late afternoons. When nests were placed in hotter orientations (e.g., south- or west-facing), nests surrounded by more foliage or placed closer to the interior of trees could compensate for the increased exposure.DiscussionOur findings suggest Gray Vireos accounted for the increased thermal exposure that comes from predator avoidance by using secondary dimensions of nest placement. Specifically, nests could be placed in orientations with cooler temperatures or in hotter orientations with greater shade potential. These results highlight how the interactive selection pressures of predation risk and microclimate can be tiered and shape life-history characteristics of birds.

This interactive map displays key education indicators for public high schools in Georgia. Data is derived from the Governor’s Office of Student Achievement for the years 2010 through 2016. Key indicators include graduation rates, college and career readiness, and milestone subject area testing. The map uses the Weave interactive platform, which allows the user to select data variables and customize related data visualizations (charts/graphs).

This interactive map provides public health data for every county in Georgia. Using data from County Health Rankings, Georgia Department of Public Health’s site (OASIS), and other sources, you can explore connections between health, socioeconomic, and demographic data. The map uses the Weave interactive platform, which allows the user to select data variables and customize related data visualizations (charts/graphs).

The Earthquake Scenario Selection is an interactive tool for querying, visualising and downloading earthquake scenarios. There are over 160 sites nationally with pre-generated scenarios available. These represent plausible future scenarios that can be used for earthquake risk management and planning (see https://www.ga.gov.au/about/projects/safety/nsha for more details).

The selected example codes and their definitions.

Behavior is central to interactions with the environment and thus has significant consequences for individual fitness. Sexual selection and demographic processes have been shown to independently shape behavioral evolution. However, while some studies have tested the simultaneous effects of these forces, no studies have investigated their interplay in behavioral evolution. We applied experimental evolution in the seed beetle Callosobruchus maculatus to investigate, for the first time, the interactive effects of sexual selection intensity (high (polygamy) vs. minimal (enforced monogamy)) and metapopulation structure (yes/no) on the evolution of movement activity, a crucial behavior involved in multiples functions (e.g., dispersal, predator avoidance or resource acquisition) and thus, closely related to fitness. We found that the interactive effects of the selection regimes did not affect individual activity, which was assayed under two different environments (absence vs. presence of consp...

Classical models predict that male fitness is based on resources monopolized and invested in reproduction, and/or on individual quality providing offspring with sexually attractive traits or viable genes. However, these factors are frequently correlated, making their relative influence on male fitness difficult to describe and quantify. We analysed the relative influence of the main features of the sedge warbler's (Acrocephalus schoenobaenus) breeding system, i.e. age, arrival date, territory quality, male sexual activity (song and polyterritorial behaviour), on males' mating success, fledging success and local recruitment. Results show that this species’ breeding system involves three main paths: (1) earlier-arriving males have higher mating success, regardless of territory quality, (2) the quality of territories pre-empted by earlier males directly influences recruitment, and (3) mating success is influenced by male sexual activity (polyterritorial behaviour), but an additional territ...

What is the effect of funding costs on the conditional probability of issuing a corporate bond? We study this question in a novel dataset covering 5610 issuances by US firms over the period from 1990 to 2014. Identification of this effect is complicated because of unobserved, common shocks such as the global financial crisis. To account for these shocks, we extend the common correlated effects estimator to settings where outcomes are discrete. Both the asymptotic properties and the small-sample behavior of this estimator are documented. We find that for non-financial firms yields are negatively related to bond issuance but that the effect is larger in the pre-crisis period.

The global market for baby and toddler interactive books is experiencing robust growth, projected to reach $720 million in 2025 and exhibiting a Compound Annual Growth Rate (CAGR) of 5.7% from 2025 to 2033. This expansion is driven by several key factors. Increasing parental awareness of the importance of early childhood development and the cognitive benefits of interactive books is a major catalyst. Parents are actively seeking engaging educational tools to stimulate their children's learning and development, fueling demand for these products. Furthermore, the rise of digital platforms and online retail channels provides convenient access to a wider selection of interactive books, expanding the market reach. Innovative product features, such as sound effects, lift-the-flap elements, and touch-and-feel textures, further enhance the appeal and educational value, contributing to market growth. The diverse range of book types, including lift-the-flap, touch-and-feel, sound books, and others, caters to varied developmental stages and preferences, fostering market diversification. Leading brands like Fisher-Price, Usborne, and Scholastic leverage their established reputations and extensive distribution networks to solidify their market positions. Geographical distribution reveals a strong presence across North America and Europe, reflecting higher disposable incomes and a greater emphasis on early childhood education in these regions. However, emerging markets in Asia-Pacific, particularly China and India, present significant growth opportunities due to rising middle-class populations and increasing awareness of educational toys. While the market faces potential restraints like fluctuating raw material costs and intense competition, the overall positive trends in parental spending on early childhood education, coupled with product innovation, are poised to propel market expansion throughout the forecast period. The continued diversification into digital formats and interactive apps complements the traditional physical book market, further amplifying overall growth potential.

Context

One of the components that is included in the keystroke logging program Inputlog (https://www.inputlog.net) is the Copy Task component. It consists of a multi-layered set of tasks that measure a person's typing skill:

    Tapping task
    press the ‘d’ and ‘k’ key alternatively during 15 s


    Sentence
    copy a sentence during 30 s


    Word combination 1
    copy a combination of three words seven times


    Word combination 2
    copy a combination of three words seven times


    Word combination 3
    copy a combination of three words seven times


    Word combination 4
    copy a combination of three words seven times


    Consonant groups
    copy four blocks of six consonants once

The task is currently made available in twelve languages.

For more information: https://doi.org/10.5334/jors.234

Interactive Dashboard Visit the webpage with an interactive dashboard to explore, filter, and download the +5K copy task corpus.

website: https://www.inputlog.net/copy-task/ dashboard: https://inputlog-analysis.uantwerpen.be/expert

Corpus

We are happy to make a multilingual corpus available (open access) that currently consists of more than 5000 copy tasks.

The + 5K corpus is carefully cleaned and fully anonymized.

The Shiny interface allows users to filter the corpus based on about 10 variables.

The selection can be downloaded in different formats and levels of aggregation (from raw idfx to synthesized analysis).

The selection can be explored using different interactive graph visualizations.

Researchers can upload their own corpus (or single copy task file) and compare it to the (selected) corpus.

An extra webpage is designed for laypersons wanting to take a copy task to test their typing skills. They get dashboard feedback in a user-friendly and attractive way and can compare their performance with (age-related) participants in the corpus. (Specially designed to further expand the corpus).

Facts and Figures Some facts and figures about the corpus' composition:

Languages:

Dutch 3130 files

English 1163 files

German 281 files

French 201 files

Other 378 file

Gender

Female: 3495 files

Male: 1276 files

X or missing 382 files

Age

15- 439 files

16-20 1591 files

21-25 2427 files

26-35 478 files

36-45 126 files

46+ 230 files

A subset of the total corpus has been uploaded here. The subset contains a dataset of about 500 tests (English | 21-25-year-olds).