Université TÉLUQ

It is our great pleasure to welcome you to the 25th International World Wide Web Conference, WWW 2016. For more than two decades, WWW has been the premier venue for researchers, academics, businesses, and standard bodies to come together and discuss latest updates on the state and evolutionary path of the Web. The conference program of WWW 2016 consists of 11 tracks for refereed research papers, as well as a poster track, a demonstration track, a developers track, an industry track, a Ph.D. symposium track, panels, tutorials, workshops, and a W3C track. Several co-located and special events will also be part of the general program. As in previous years, updates and changes were made to ensure that track topics correctly reflect the key research areas of interest in the WWW community. The research tracks are: Behavioral Analysis and Personalization Content Analysis Crowdsourcing Systems and Social Media Economics and Markets Mobility Security and Privacy Semantics and Big Data Social Networks and Graph Analysis Web Mining Web Science Web Search Systems and Applications The research tracks attracted submissions from all over the world. Submissions were rigorously reviewed, with each paper receiving at least three reviews. During a discussion phase, reviewers and track chairs discussed reviews in detail. For consistency across tracks, final decisions on papers were made at a face-toface PC meeting of all track chairs and the PC chairs. Of the 727 papers submitted to the research tracks, 115 were accepted for an acceptance rate of less than 16%.

A rich body of knowledge links biodiversity to ecosystem functioning (BEF), but it is primarily focused on small scales. We review the current theory and identify six expectations for scale dependence in the BEF relationship: (1) a nonlinear change in the slope of the BEF relationship with spatial scale; (2) a scale-dependent relationship between ecosystem stability and spatial extent; (3) coexistence within and among sites will result in a positive BEF relationship at larger scales; (4) temporal autocorrelation in environmental variability affects species turnover and thus the change in BEF slope with scale; (5) connectivity in metacommunities generates nonlinear BEF and stability relationships by affecting population synchrony at local and regional scales; (6) spatial scaling in food web structure and diversity will generate scale dependence in ecosystem functioning. We suggest directions for synthesis that combine approaches in metaecosystem and metacommunity ecology and integrate cross-scale feedbacks. Tests of this theory may combine remote sensing with a generation of networked experiments that assess effects at multiple scales. We also show how anthropogenic land cover change may alter the scaling of the BEF relationship. New research on the role of scale in BEF will guide policy linking the goals of managing biodiversity and ecosystems.

Biological insurance theory predicts that, in a variable environment, aggregate ecosystem properties will vary less in more diverse communities because declines in the performance or abundance of some species or phenotypes will be offset, at least partly, by smoother declines or increases in others. During the past two decades, ecology has accumulated strong evidence for the stabilising effect of biodiversity on ecosystem functioning. As biological insurance is reaching the stage of a mature theory, it is critical to revisit and clarify its conceptual foundations to guide future developments, applications and measurements. In this review, we first clarify the connections between the insurance and portfolio concepts that have been used in ecology and the economic concepts that inspired them. Doing so points to gaps and mismatches between ecology and economics that could be filled profitably by new theoretical developments and new management applications. Second, we discuss some fundamental issues in biological insurance theory that have remained unnoticed so far and that emerge from some of its recent applications. In particular, we draw a clear distinction between the two effects embedded in biological insurance theory, i.e. the effects of biodiversity on the mean and variability of ecosystem properties. This distinction allows explicit consideration of trade-offs between the mean and stability of ecosystem processes and services. We also review applications of biological insurance theory in ecosystem management. Finally, we provide a synthetic conceptual framework that unifies the various approaches across disciplines, and we suggest new ways in which biological insurance theory could be extended to address new issues in ecology and ecosystem management. Exciting future challenges include linking the effects of biodiversity on ecosystem functioning and stability, incorporating multiple functions and feedbacks, developing new approaches to partition biodiversity effects across scales, extending biological insurance theory to complex interaction networks, and developing new applications to biodiversity and ecosystem management.

Abstract The purpose of this study is to provide a preliminary framework to observe, analyse and evaluate both activity and learning in virtual communities. So various types of virtual communities will be studied by examining their relationship to socialisation and learning. After a presentation of the main ideas of Wenger's social learning theory, the principal components of the social context of the emergence and evolution of virtual communities will be described. It will show how taking this context into account enables the definition of four principal types of virtual communities: community of interest, goal‐oriented community of interest, learners' community and community of practice and describe how the activity of these communities develops according to the goals they set for themselves and to the strategies they adopt to reach them. For each type of virtual community, an attempt will be made to determine the process of negotiation of meaning at the base of learning, and to describe the learning performed in terms of participation and reification processes.

Endocrine disrupting chemicals (EDCs) are ubiquitous in aquatic and terrestrial environments. The main objective of this review was to summarize the current knowledge of the impacts of EDCs on reproductive success in wildlife and humans. The examples selected often include a retrospective assessment of the knowledge of reproductive impacts over time to discern how the effects of EDCs have changed over the last several decades. Collectively, the evidence summarized here within reinforce the concept that reproduction in wildlife and humans is negatively impacted by anthropogenic chemicals, with several altering endocrine system function. These observations of chemicals interfering with different aspects of the reproductive endocrine axis are particularly pronounced for aquatic species and are often corroborated by laboratory-based experiments (i.e. fish, amphibians, birds). Noteworthy, many of these same indicators are also observed in epidemiological studies in mammalian wildlife and humans. Given the vast array of reproductive strategies used by animals, it is perhaps not surprising that no single disrupted target is predictive of reproductive effects. Nevertheless, there are some general features of the endocrine control of reproduction, and in particular, the critical role that steroid hormones play in these processes that confer a high degree of susceptibility to environmental chemicals. New research is needed on the implications of chemical exposures during development and the potential for long-term reproductive effects. Future emphasis on field-based observations that can form the basis of more deliberate, extensive, and long-term population level studies to monitor contaminant effects, including adverse effects on the endocrine system, are key to addressing these knowledge gaps.

Complex systems science provides a transdisciplinary framework to study systems characterized by (1) heterogeneity, (2) hierarchy, (3) self‐organization, (4) openness, (5) adaptation, (6) memory, (7) non‐linearity, and (8) uncertainty. Complex systems thinking has inspired both theory and applied strategies for improving ecosystem resilience and adaptability, but applications in forest ecology and management are just beginning to emerge. We review the properties of complex systems using four well‐studied forest biomes (temperate, boreal, tropical and Mediterranean) as examples. The lens of complex systems science yields insights into facets of forest structure and dynamics that facilitate comparisons among ecosystems. These biomes share the main properties of complex systems but differ in specific ecological properties, disturbance regimes, and human uses. We show how this approach can help forest scientists and managers to conceptualize forests as integrated social‐ecological systems and provide concrete examples of how to manage forests as complex adaptive systems.

Abstract The world's forests and forestry sector are facing unprecedented biological, political, social, and climatic challenges. The development of appropriate, novel forest management and restoration approaches that adequately consider uncertainty and adaptability are hampered by a continuing focus on production of a few goods or objectives, strong control of forest structure and composition, and most importantly the absence of a global scientific framework and long‐term vision. Ecosystem‐based approaches represent a step in the right direction, but are limited in their ability to deal with the rapid pace of social, climatic, and environmental changes. We argue here that viewing forest ecosystems as complex adaptive system provides a better alternative for both production‐ and conservation‐oriented forests and forestry. We propose a set of broad principles and changes to increase the adaptive capacity of forests in the face of future uncertainties. These span from expanding the sustained‐yield, single‐good paradigm to developing policy incentives and interventions that promote self‐organization and integrated social‐ecological adaptation.

In many important applications-such as search engines and relational database systems-data are stored in the form of arrays of integers. Encoding and, most importantly, decoding of these arrays consumes considerable CPU time. Therefore, substantial effort has been made to reduce costs associated with compression and decompression. In particular, researchers have exploited the superscalar nature of modern processors and single-instruction, multiple-data (SIMD) instructions. Nevertheless, we introduce a novel vectorized scheme called SIMD-BP128 ? that improves over previously proposed vectorized approaches. It is nearly twice as fast as the previously fastest schemes on desktop processors (varint-G8IU and PFOR). At the same time, SIMD-BP128 ? saves up to 2 bits/int. For even better compression, we propose another new vectorized scheme (SIMD-FastPFOR) that has a compression ratio within 10% of a state-of-the-art scheme (Simple-8b) while being two times faster during decoding.

The importance of a research article is routinely measured by counting how many times it has been cited. However, treating all citations with equal weight ignores the wide variety of functions that citations perform. We want to automatically identify the subset of references in a bibliography that have a central academic influence on the citing paper. For this purpose, we examine the effectiveness of a variety of features for determining the academic influence of a citation. By asking authors to identify the key references in their own work, we created a data set in which citations were labeled according to their academic influence. Using automatic feature selection with supervised machine learning, we found a model for predicting academic influence that achieves good performance on this data set using only four features. The best features, among those we evaluated, were those based on the number of times a reference is mentioned in the body of a citing paper. The performance of these features inspired us to design an influence‐primed h ‐index (the hip‐index). Unlike the conventional h ‐index, it weights citations by how many times a reference is mentioned. According to our experiments, the hip‐index is a better indicator of researcher performance than the conventional h ‐index.

This article presents a research on telework and deals with the following questions: Who are the teleworkers (sex, age, main socio‐occupational categories)? What are the impacts of telework on work organization and working conditions, particularly for women, and in terms of work‐family balance, since telework is sometimes presented as a solution to problems of reconciling work and family responsibilities? Finally, what is the level of satisfaction among teleworkers and why are they satisfied or dissatisfied with this system? Are there differences between various groups on this regard? We insist on the dimensions of working conditions and autonomy in telework and highlight the fact that there is a risk of polarization according to gender, women being more frequently in a situation where they have less autonomy than men in telework, although many also see telework in a positive way, as an “escape” from a bureaucratic work environment.

This paper presents an in-depth study of ChatGPT, a state-of-the-art language model that is revolutionizing generative text. We provide a comprehensive analysis of its architecture, training data, and evaluation metrics and explore its advancements and enhancements over time. Additionally, we examine the capabilities and limitations of ChatGPT in natural language processing (NLP) tasks, including language translation, text summarization, and dialogue generation. Furthermore, we compare ChatGPT to other language generation models and discuss its applicability in various tasks. Our study also addresses the ethical and privacy considerations associated with ChatGPT and provides insights into mitigation strategies. Moreover, we investigate the role of ChatGPT in cyberattacks, highlighting potential security risks. Lastly, we showcase the diverse applications of ChatGPT in different industries and evaluate its performance across languages and domains. This paper offers a comprehensive exploration of ChatGPT’s impact on the NLP field.

Uncertainties surrounding tree carbon allocation to growth are a major limitation to projections of forest carbon sequestration and response to climate change. The prevalence and extent to which carbon assimilation (source) or cambial activity (sink) mediate wood production are fundamentally important and remain elusive. We quantified source-sink relations across biomes by combining eddy-covariance gross primary production with extensive on-site and regional tree ring observations. We found widespread temporal decoupling between carbon assimilation and tree growth, underpinned by contrasting climatic sensitivities of these two processes. Substantial differences in assimilation-growth decoupling between angiosperms and gymnosperms were determined, as well as stronger decoupling with canopy closure, aridity, and decreasing temperatures. Our results reveal pervasive sink control over tree growth that is likely to be increasingly prominent under global climate change.

It is our great pleasure to welcome you to the 25th International World Wide Web Conference, WWW 2016. For more than two decades, WWW has been the premier venue for researchers, academics, businesses, and standard bodies to come together and discuss latest updates on the state and evolutionary path of the Web. The conference program of WWW 2016 consists of 11 tracks for refereed research papers, as well as a poster track, a demonstration track, a developers track, an industry track, a Ph.D. symposium track, panels, tutorials, workshops, and a W3C track. Several co-located and special events will also be part of the general program. As in previous years, updates and changes were made to ensure that track topics correctly reflect the key research areas of interest in the WWW community. The research tracks are: Behavioral Analysis and Personalization Content Analysis Crowdsourcing Systems and Social Media Economics and Markets Mobility Security and Privacy Semantics and Big Data Social Networks and Graph Analysis Web Mining Web Science Web Search Systems and Applications The research tracks attracted submissions from all over the world. Submissions were rigorously reviewed, with each paper receiving at least three reviews. During a discussion phase, reviewers and track chairs discussed reviews in detail. For consistency across tracks, final decisions on papers were made at a face-toface PC meeting of all track chairs and the PC chairs. Of the 727 papers submitted to the research tracks, 115 were accepted for an acceptance rate of less than 16%.

This study examines how the need for family friendly practices contribute in increasing the effects of work–family conflict (WFC) and family–work conflict (FWC) on job stress, burnout, and intention to leave in the hotel industry in Quebce (258 staff). The essential results indicate that the perception of a need for childcare moderates the relationship between FWC, job stress, and burnout. Also, employees wanting to have a compressed workweek and part time measures are exposed to more stress related to WFC/FWC. Finally, the four measures can constitute resources passageways in order to reduce the work-family interference, job stress, burnout and therefore the intention to leave. Theoretically, he results extend this line of theorizing by highlighting the importance of subjective needs for family friendly policies, as ‘resource caravan passageways’, in the work–family interface and job outcome processes. The perception of a desire or need for these measures offers a new understanding of these practices. Practically, identifying who is more sensitive to family friendly measures would enable organizations or employers to allocate supportive resources more adequately by targeting those employees who are most in need of such practices.

Summary Bitmap indexes are commonly used in databases and search engines. By exploiting bit‐level parallelism, they can significantly accelerate queries. However, they can use much memory, and thus, we might prefer compressed bitmap indexes. Following Oracle's lead, bitmaps are often compressed using run‐length encoding (RLE). Building on prior work, we introduce the Roaring compressed bitmap format: it uses packed arrays for compression instead of RLE. We compare it to two high‐performance RLE‐based bitmap encoding techniques: Word Aligned Hybrid compression scheme and Compressed ‘n’ Composable Integer Set. On synthetic and real data, we find that Roaring bitmaps (1) often compress significantly better (e.g., 2×) and (2) are faster than the compressed alternatives (up to 900× faster for intersections). Our results challenge the view that RLE‐based bitmap compression is best. Copyright © 2015 John Wiley & Sons, Ltd.

In recent decades there has been an increasing recognition of the need to account for sex and gender in biology and medicine, in order to develop a more comprehensive understanding of biological phenomena and to address gaps in medical knowledge that have arisen due to a generally masculine bias in research. We have noted that as basic experimental biomedical researchers, we face unique challenges to the incorporation of sex and gender in our work, and that these have remained largely unarticulated, misunderstood, and unaddressed in the literature. Here, we describe some of the specific challenges to the incorporation of sex and gender considerations in research involving cell cultures and laboratory animals. In our view, the main‐streaming of sex and gender considerations in basic biomedical research depends on an approach that will allow scientists to address these issues in ways that do not undermine our ability to pursue our fundamental scientific interests. To that end, we suggest a number of strategies that allow basic experimental researchers to feasibly and meaningfully take sex and gender into account in their work.—Ritz, S.A., Antle, D. M., Côté, J., Deroy, K., Fraleigh, N., Messing, K., Parent, L., St‐Pierre, J., Vaillancourt, C., Mergler, D. First steps for integrating sex and gender considerations into basic experimental biomedical research. FASEB J . 28, 4–13 (2014). www.fasebj.org

Over the past century, evidence has emerged that endocrine disrupting chemicals (EDCs) have an impact on reproductive health. An increased frequency of reproductive disorders has been observed worldwide in both wildlife and humans that is correlated with accidental exposures to EDCs and their increased production. Epidemiological and experimental studies have highlighted the consequences of early exposures and the existence of key windows of sensitivity during development. Such early in life exposures can have an immediate impact on gonadal and reproductive tract development, as well as on long-term reproductive health in both males and females. Traditionally, EDCs were thought to exert their effects by modifying the endocrine pathways controlling reproduction. Advances in knowledge of the mechanisms regulating sex determination, differentiation and gonadal development in fish and rodents have led to a better understanding of the molecular mechanisms underlying the effects of early exposure to EDCs on reproduction. In this manuscript, we review the key developmental stages sensitive to EDCs and the state of knowledge on the mechanisms by which model EDCs affect these processes, based on the roadmap of gonad development specific to fish and mammals.

Apache Calcite is a foundational software framework that provides query processing, optimization, and query language support to many popular open-source data processing systems such as Apache Hive, Apache Storm, Apache Flink, Druid, and MapD. The goal of this paper is to formally introduce Calcite to the broader research community, brie y present its history, and describe its architecture, features, functionality, and patterns for adoption. Calcite's architecture consists of a modular and extensible query optimizer with hundreds of built-in optimization rules, a query processor capable of processing a variety of query languages, an adapter architecture designed for extensibility, and support for heterogeneous data models and stores (relational, semi-structured, streaming, and geospatial). This exible, embeddable, and extensible architecture is what makes Calcite an attractive choice for adoption in big-data frameworks. It is an active project that continues to introduce support for the new types of data sources, query languages, and approaches to query processing and optimization.

People in different cultures have different concepts of the person that underlie self-understanding and self-representation. These concepts influence many aspects of individuals' life experience, including illness and expectations toward recovery. Psychotherapies aim to promote adaptive change in experience and behavior. This goal is embedded in a social and cultural context that promotes or sanctions a particular notion of personhood. If every system of psychotherapy depends on implicit models of personhood, which varies cross-culturally, then the goals and methods of therapeutic change must consider the cultural concept of the person. This paper reviews cultural concepts of the person in relation to communal values, practices, and systems of thought observed across many African cultural contexts. It presents a practical framework that can inform therapists working with African clients. Many African cultures promote a relational-oriented personhood, in which an individual manifests his or her personhood through connections to three distinct forms of agency: (a) spiritual agency, including God, ancestors, and spirits that influence the person; (b) social agency, including the family, the clan, and the community, with extension to humanity; and (c) self-agency, which is responsible for the person's inner experience. This distinctive form of personhood underlies concepts of the "normal" person, understandings of mental illness, help-seeking behavior, and clients' needs and expectations. Implications of this cultural concept of the person for psychotherapy with African clients are discussed.

Purpose The present study aims to investigate the mediating role of work–family conflict (WFC) and family–work conflict (FWC) on the effects of workload and the generic and specific work–family social support in job stress. Design/methodology/approach Using AMOS 20 through bootstrap analysis for indirect effect, the study assessed the abovementioned relationships based on data collected from 258 respondents in the hospitality industry in Quebec. Findings The findings indicate that workload increases job stress via WFC and FWC. Both generic and specific work–family social support decrease job stress through WFC and FWC. Organizational support for reconciling work and family life is more significant than generic supervisor support. Family support reduces job stress via WFC but not via FWC. Research limitations/implications In future studies, it would be interesting to explore the effects of variables such as gender, marital status, hotel category and the job category, as well as cultural origin. Practical implications The results of this research should alert employers in the hospitality industry to engage in family-friendly policies that include not only practices such as working time arrangements, family leave and onsite child care services, but also to be committed to create a family-friendly culture and to adopt the best forms of supportive policies at work. Originality/value By emphasizing cross-domain effects, the present research contributes to the existing knowledge by testing the mediating role of WFC and FWC in the effects of workload and various resources of social support on job stress.