Bayesian model selection results (social interactive condition): Posterior model probability or and the model exceedance probability or .

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 social interactions that we experience from early infancy often involve actions that are not strictly instrumental but engage the recipient by eliciting a (complementary) response. Interactive gestures may have privileged access to our perceptual and motor systems either because of their intrinsically engaging nature or as a result of extensive social learning. We compared these two hypotheses in a series of behavioral experiments by presenting individuals with interactive gestures that call for motor responses to complement the interaction (‘hand shaking’, ‘requesting’, ‘high-five’) and with communicative gestures that are equally socially relevant and salient, but do not strictly require a response from the recipient (‘Ok’, ‘Thumbs up’, ‘Peace’). By means of a spatial compatibility task, we measured the interfering power of these task-irrelevant stimuli on the behavioral responses of individuals asked to respond to a target. Across three experiments, our results showed that the interactive gestures impact on response selection and reduce spatial compatibility effects as compared to the communicative (non-interactive) gestures. Importantly, this effect was independent of the activation of specific social scripts that may interfere with response selection. Overall, our results show that interactive gestures have privileged access to our perceptual and motor systems, possibly because they entail an automatic preparation to respond that involuntary engages the motor system of the observers. We discuss the implications from a developmental and neurophysiological point of view.

Social Seating Selection Tools Market Outlook

According to our latest research, the global Social Seating Selection Tools market size reached USD 1.42 billion in 2024, reflecting a robust surge in demand across diverse industries. The market is projected to grow at a CAGR of 12.3% from 2025 to 2033, reaching a forecasted value of USD 4.04 billion by 2033. This impressive growth is primarily driven by the increasing integration of digital solutions in event management and travel, coupled with a rising emphasis on personalized user experiences and social connectivity in seating arrangements.

A key growth factor for the Social Seating Selection Tools market is the escalating demand for enhanced customer experiences in various sectors, particularly in airlines, events, and entertainment. With consumers expecting more control over their seating preferences, organizations are leveraging these tools to provide a seamless, interactive, and personalized experience. The proliferation of digital platforms and mobile applications has further accelerated adoption, enabling real-time seat selection and social interaction features. The integration of advanced analytics and artificial intelligence into these tools allows for smarter recommendations and dynamic seating arrangements, driving user engagement and satisfaction to unprecedented levels.

Another significant driver is the widespread digital transformation initiatives undertaken by educational institutions, corporate entities, and event organizers. The shift towards hybrid and virtual events in the aftermath of the pandemic has highlighted the importance of flexible and interactive seating solutions. Social seating selection tools enable organizers to optimize venue layouts, adhere to social distancing protocols, and facilitate networking opportunities among attendees. In addition, the growing trend of collaborative workspaces and educational environments has necessitated tools that allow participants to choose seats based on shared interests and professional backgrounds, thereby fostering a more connected and productive atmosphere.

The rapid expansion of cloud computing infrastructure and the increasing affordability of SaaS-based solutions have also played a pivotal role in market growth. Cloud deployment offers scalability, remote accessibility, and lower upfront costs, making social seating selection tools accessible to organizations of all sizes. This has particularly benefited small and medium enterprises and educational institutions with limited IT resources. Furthermore, the integration of these tools with other enterprise systems such as CRM, ticketing, and event management platforms has streamlined operations and improved overall efficiency. As organizations continue to prioritize digital transformation, the adoption of social seating selection tools is expected to grow exponentially in the coming years.

Regionally, North America holds the largest share of the Social Seating Selection Tools market in 2024, accounting for approximately 38% of the global revenue. This dominance is attributed to the presence of leading technology providers, high digital adoption rates, and a vibrant events and entertainment industry. Europe follows closely, driven by the region’s strong airline and corporate event sectors. The Asia Pacific region is anticipated to witness the fastest growth during the forecast period, with a projected CAGR of 14.1%, fueled by rapid urbanization, expanding middle-class populations, and increasing investments in digital infrastructure. Latin America and the Middle East & Africa are also emerging as promising markets, supported by growing tourism and a burgeoning events industry.

Component Analysis

The Component segment of the Social Seating Selection Tools market is bifurcated into Software and Services. The software component dominates the market, accounting for over 65% of the total revenue in 2024. This dominance can be attributed to the increasing reliance on sophisticated software platforms that offer intuitive interfaces, real-time seat visualization, and seamless integration with other digital solutions. Advanced software solutions enable users to personalize their seating preferences, connect with other participants, and receive recommendations based on social profiles and interests. As organizations place a premium on user experience,

This statistic shows the results of a survey on selection criteria for online shops in Germany in 2017. Of respondents, ** percent reported the availability of a product description to be a very important criterion when determining which online shop to use. Furthermore, ** percent of respondents viewed information on shipping terms to be a very important criterion.

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.

Interlocus sexual conflict (IRSC) occurs because of shared interactions that have opposite effects on male and female fitness. Typically, it is assumed that loci involved in IRSC have sex-limited expression and are thus not directly affected by selective pressures acting on the other sex. However, if loci involved in IRSC have pleiotropic effects in the other sex, intersexual selection can shape the evolutionary dynamics of conflict escalation and resolution, as well as the evolution of reproductive traits linked to IRSC loci, and vice versa. Here we used an artificial selection approach in Japanese quail (Coturnix japonica) to test if female-limited selection on reproductive investment affects the amount of harm caused by males during mating. We found that males originating from lines selected for high female reproductive investment caused more oxidative damage in the female reproductive tract than males originating from lines selected for low female reproductive investment. This male-induced damage was specific to the oviduct and not found in other female tissues, suggesting that it was ejaculate-mediated. Our results suggest that intersexual selection shapes the evolution of IRSC and that male-induced harm may contribute to the maintenance of variation in female reproductive investment.

The global market for Online Seat Selection Systems is projected to grow from XXX million in 2025 to XXX million by 2033, at a CAGR of XX% during the forecast period of 2025-2033. The market growth is attributed to the rising adoption of online booking platforms, increasing air travel, and the growing demand for personalized travel experiences. Additionally, technological advancements such as mobile check-in and seat mapping capabilities are driving market growth. North America is expected to remain the largest regional market for Online Seat Selection Systems, followed by Europe and Asia Pacific. The presence of major airlines and a high penetration of online booking platforms contribute to the dominance of North America. However, emerging economies in Asia Pacific are expected to witness significant growth in the market due to the increasing number of air travelers and the rising popularity of online booking services. Key market players include Tix, osConcert, Seatguru, Seating Chart Delta, Emirates, and TechBrij. These companies offer a range of features and integrations with airlines and online travel agencies to enhance the online seat selection experience for travelers.

As users scroll through the story, they can find the following information:Regional overview of the Wasatch Choice 2050 VisionRegionally significant land uses and descriptionsRegional performance measuresSmall area stories with area desires and needs as well as county performance measuresMap to view transportation project/land use information and provide feedbackWithin the main map, the user can navigate to find information about draft transportation projects and land use. The user can also provide feedback on transportation/land use by utilizing the comment pushpin feature.

Use the Interactive Legend template to allow users to filter layers in your map by toggling the visibility of features based categories and ranges in the legend. Choose from paired feature-specific effects, such as bloom and blur, to distinguish between selected items in the legend and the remaining data. Choose from several options to emphasize selected items in the legend while other items remain on the map in muted colors. Examples: Form a better understanding of the spatial relationship between map features by changing the visibility of the content. Present economic data relevant to numerical range values of interest during a seminar. Analyze crime data to facilitate decision making of law enforcement distribution pertaining to specific crime categories. Data requirements The Interactive Legend template requires a feature layer to use all of its capabilities. The following drawing styles are supported: Location (Single Symbol) Types (Unique symbols) Counts and amounts (Size) - Classify Data Checked Counts and Amounts (Color) - Classify Data Checked Relationship Relationship and Size (Partially Interactive) Predominant Category Predominant Category and Size (Partially interactive) Types and Size (Partially interactive) Key app capabilities Layer effects - Use layer effects to differentiate between features included and excluded in a filter, and specify how features are emphasized and de-emphasized when a filter is applied using the legend. Zoom to button - Allow users to zoom to features selected in the legend. Feature count - Include a feature count for items that are selected in the legend Export - Capture an image (PDF, JPG, or PNG) from the app that a user can save. Time filter - Filter features in the map using time enabled layers Language switcher - Provide translations for custom text and create a multilingual app. Home, Zoom controls, Legend, Layer List, Search Supportability This 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.

Floral traits are hypothesized to evolve primarily in response to selection by pollinators. However, selection can also be mediated by other environmental factors. To understand the relative importance of pollinator-mediated selection and its variation among trait and pollinator types, we analyzed directional selection gradients on floral traits from experiments that manipulated the environment to identify agents of selection. Pollinator-mediated selection was stronger than selection by other biotic factors (e.g. herbivores), but similar in strength to selection by abiotic factors (e.g. soil water), providing partial support for the hypothesis that floral traits evolve primarily in response to pollinators. Pollinator-mediated selection was stronger on pollination efficiency traits than on other trait types, as expected if efficiency traits affect fitness via interactions with pollinators, but other trait types also affect fitness via other environmental factors. In addition to vary...

During a survey conducted in Spring 2023 in the United States, the most popular factor for choosing online education was the affordability of the program, with ** percent of respondents reporting this as one of their top three reasons. The second most popular factor was the reputation of the school or program.

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...

The search terms "ai white collar jobs" had a yearly growth of 65,900 percent in U.S. search volume in January 2023, accumulating to 541 thousand searches in the country during that month. Interest in artificially powered tools like ChatGPT has spiked over the last months, as well as for its developing company OpenAI. Nonetheless, search query "open ai jobs" had a year-on-year growth in its average monthly volume of around 1,971.4 percent, reaching 546 thousand searches in January 2023.

Interactive Sound Books for Toddlers Market Outlook

According to our latest research, the global interactive sound books for toddlers market size in 2024 stands at USD 1.34 billion, registering a robust growth trajectory with a CAGR of 7.2% from 2025 to 2033. By the end of 2033, the market is forecasted to reach USD 2.53 billion. This impressive growth is primarily driven by rising parental awareness about early childhood development, increasing disposable incomes, and a surge in demand for engaging educational materials for young children. The interactive sound books for toddlers market is witnessing significant innovation, with manufacturers focusing on enhancing both the educational and entertainment value of their products. As per our latest research, the market is poised for continued expansion, underpinned by technological advancements and evolving consumer preferences.

One of the most significant growth drivers for the interactive sound books for toddlers market is the increasing emphasis on early childhood education and cognitive development. Parents and educators are progressively recognizing the importance of interactive learning tools that stimulate sensory skills, language development, and auditory processing in young children. Interactive sound books, which combine vivid illustrations with engaging audio features, have proven to be highly effective in capturing toddlers’ attention and facilitating learning through play. The integration of themes such as numbers, alphabets, animal sounds, and musical notes helps foster an early interest in reading and learning, contributing to the overall growth of the market. Furthermore, the growing body of research supporting the benefits of multisensory learning experiences is prompting more parents and educational institutions to invest in interactive sound books as essential resources for toddlers.

Another critical factor propelling the growth of the interactive sound books for toddlers market is the rapid advancement in printing and audio technology. Manufacturers are leveraging state-of-the-art sound chips, durable materials, and eco-friendly inks to create products that are not only engaging but also safe and resilient. The emergence of touch-sensitive buttons, volume controls, and interactive features has elevated the user experience, making these books more appealing to both parents and children. Additionally, the trend towards customization and personalization—such as books that allow parents to record their own voices or choose specific content—has further expanded the market’s appeal. These technological enhancements are enabling brands to differentiate themselves and meet the evolving expectations of modern consumers, thereby driving sustained growth in the interactive sound books for toddlers market.

The expansion of distribution channels, particularly the growth of e-commerce platforms, has also played a pivotal role in the market’s upward trajectory. Online retailers offer a vast selection of interactive sound books, often accompanied by detailed product descriptions, customer reviews, and competitive pricing, making it easier for parents to make informed purchasing decisions. The convenience of home delivery and the ability to compare products from multiple brands have significantly boosted online sales. Meanwhile, traditional brick-and-mortar channels such as bookstores, supermarkets, and specialty stores continue to attract customers who prefer to physically examine products before buying. The omnichannel approach adopted by many leading brands ensures that interactive sound books are accessible to a broader consumer base, thereby fueling market growth across diverse geographies.

From a regional perspective, North America currently leads the interactive sound books for toddlers market, accounting for a substantial share of global revenue in 2024. This dominance can be attributed to high disposable incomes, a well-established educational infrastructure, and a strong culture of early childhood literacy. However, the Asia Pacific region is rapidly emerging as a key growth engine, driven by a burgeoning middle class, increasing urbanization, and rising investments in early education. Europe also represents a significant market, characterized by a high level of product innovation and widespread adoption of interactive learning tools. Latin America and the Middle East & Africa, while still nascent, are witnessing steady growth as awareness about the benefits of interactive sound books continues to spread. Overall, th

The Resources box to the right includes links to an Interactive Mapping App, an FTP site and a Data Dictionary that together provide access to compiled data from the primary ground-sampling programs managed by the Forest Analysis and Inventory Branch (FAIB). The following is a summary of what’s available in the two links: 1) The Interactive Mapping App provides a spatial view of FAIB ground plots with custom filters to enable selection of areas, BEC zones, species, TSA or plot types of interest. Once plots of interest are selected or filtered, an ‘export data’ button is available to download a plot summary file with limited attributes. 2) The Compiled Ground Plot FTP site contains tree- and plot-level compiled mensurational attributes for each ground plot across a series of repeated measurements. Both the PSP and non-PSP compilation outputs include a Data Dictionary that describes all the tables and attributes found in the downloadable files. FAIB ground-sampling programs include the Permanent Sample Plots (PSPs) that provide long term growth and yield information to support development and testing of growth-and-yield models. Active PSPs are the only plot type protected from harvesting. The Provincial Change Monitoring Inventory (CMI), Provincial Young Stand Monitoring (YSM) and National Forest Inventory (NFI) programs monitor the changes in growth, mortality, and forest health from statistically valid populations. Vegetation Resource Inventory (VRI) plots are used to audit and verify key spatial inventory attributes estimated during photo interpretation.

Penalized regression methods that perform simultaneous model selection and estimation are ubiquitous in statistical modeling. The use of such methods is often unavoidable as manual inspection of all possible models quickly becomes intractable when there are more than a handful of predictors. However, automated methods usually fail to incorporate domain-knowledge, exploratory analyses, or other factors that might guide a more interactive model-building approach. A hybrid approach is to use penalized regression to identify a set of candidate models and then to use interactive model-building to examine this candidate set more closely. To identify a set of candidate models, we derive point and interval estimators of the probability that each model along a solution path will minimize a given model selection criterion, for example, Akaike information criterion, Bayesian information criterion (AIC, BIC), etc., conditional on the observed solution path. Then models with a high probability of selection are considered for further examination. Thus, the proposed methodology attempts to strike a balance between algorithmic modeling approaches that are computationally efficient but fail to incorporate expert knowledge, and interactive modeling approaches that are labor intensive but informed by experience, intuition, and domain knowledge. Supplementary materials for this article are available online.

This statistic shows the leading factors influencing store or supplier selection among online shoppers in Canada as of ***********. During the survey, ** percent of the respondents said that a store or supplier must have a web site for them to consider it.

In Canada, free shipping and free returns were the main features that influenced the choice of retailer for online shoppers as of May 2022. Canadian e-shoppers also clearly preferred retailers with a well-thought-out returns system, as a hassle-free returns policy and convenient return locations were the following most influential purchase drivers chosen by consumers.