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    3789 research outputs found

    Dominance and competition: a giving-up density analysis of rank-based foraging decisions of small groups of confined bison (Bison bison)

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    Socially foraging animals such as bison (Bison bison) modify their foraging behaviour based on social status and food availability to maximize individual fitness. Winter feeding trials were performed on juvenile bison at Stanley Hill Bison Farm in Kakabeka Falls, ON, using a giving-up density (GUD) framework to record the densities of a resource at which bison of various rank would cease foraging. Bison were provided with two food sources, abundant lower-quality hay and limited higher-quality oats mixed with blocks of wood in feeding trays. Time spent foraging from the high-quality trays by each bison, as well as all instances of voluntary quitting and involuntary abandonments of patches, were recorded and compared to the density of food remaining in the trays at the end of the trials. Rank was negatively related to GUDs, with high-ranked bison ceasing foraging at the lowest GUDs. Dominants prematurely abandon their own trays in favour of subordinates. However, lower-ranked bison forage for a shorter time from the oats and cease foraging altogether at higher GUDs to exploit lower-quality hay, likely to escape competition as the costs of foraging from the oats increased. Males may also have a lower GUD than females. That high- and low-ranked captive bison use different strategies of foraging in confined environments supports the widely acknowledged theory that social rank has a large effect on foraging behaviour and energetic intake, and the results of the trials quantify this through difference. This study highlights the existence of two feedback loops: (1) a positive loop where increased foraging efficiency reinforces rank for high-ranked bison, and (2) a negative loop whereby low-ranked bison are forced to forage inefficiently and are thus ever more disadvantaged against competition from higher-ranked bison

    Studying the properties of engineered wood products

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    Glulam and OSB are great building alternatives to typical materials in terms of their strength, aesthetics, and economical nature. North America mostly uses Spruce, Pine, and Fir (SPF) owing to their superior strength characteristics and accessibility. But there is scope for underutilized species like larch, poplar, or birch to be used in Glulam manufacturing and engineered products like OSB. The focus of this thesis is to examine if use of the above-mentioned species will be a good alternative to typical SPF species. It also provides an overview of those species, their general distribution and utilization. The comparison is done based on the physical and mechanical properties of these wood species and the 3 properties MOE (modulus of elasticity), MOR (modulus of rupture) and density. It was found that these species have favourable strength characteristics as compared to spruce and would be beneficial if used in the Glulam industry. This was a preliminary study and if tested on a larger scale with advanced technology, this can help create a more resilient lumber market, diversify Canadian wood business, and increase Glulam industry’s efficiency

    Fire performance of timer-concrete composite floor systems utilizing cross-laminated timber panels with self-tapping screws as shear connectors

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    One of the main reasons that hinder more utilization of combustible material, such as wood, as the primary construction material in tall buildings is the required duration a structure must withstand applied loads under fire exposure without losing its structural integrity, which is refereed to the fire resistance rating required by applicable building codes. However, the increased availability of cross-laminated timber (CLT) sections in Canada and its successful use in mass timber construction have generated interest in its properties and performance when subjected to fire. Floor systems in mass timber buildings can be more robust and span longer distances by adding a top layer of concrete to form timber-concrete composite (TCC) floor systems when adequate shear connections are utilized. The primary technique for shear connections in TCC systems is a wide variety of metal connectors, with the self-tapping screws (STS) being one of the most used shear connectors. Therefore, proper design guidelines and methodologies are needed to determine the accurate fire resistance of TCC floor systems. Currently, there is no design procedure for the TCC floor systems included in the Canadian Engineering design in wood standard (CSA O86-19) but is implemented in other international design codes, such as the European codes. [...

    Moreau envelopes-based personalized asynchronous federated learning: improving practicality in distributed machine learning

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    Federated learning is a promising approach for training models on distributed data, driven by increasing demand in various industries. However, it faces several challenges, including communication bottlenecks and client data heterogeneity. Personalized asynchronous federated learning addresses these challenges by customizing the model for individual users based on their local data while trading model updates asynchronously. In this paper, we propose Personalized Moreau Envelopes-based Asynchronous Federated Learning (APFedMe) that combines personalized learning with asynchronous communication and Moreau Envelopes as clients’ regularized loss functions. Our approach uses the Moreau Envelopes to handle non-convex optimization problems and employs asynchronous updates to improve communication efficiency while mitigating heterogeneity data challenges through a personalized learning environment. We evaluate our approach on several datasets and compare it with PFedMe, FedAvg, and PFedAvg federated learning methods. Our experiments show that APFedMe outperforms other methods in terms of convergence speed and communication efficiency. Then, we mention some well-performing implementations to handle missing data in distributed learning. Overall, our work contributes to the development of more effective and efficient federated learning methods that can be applied in various real-world scenarios

    The influence of social media and contract cheating website use on the perception of academic integrity standards

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    This work sought to address gaps in the literature regarding perceived student acceptance of certain types of cheating in higher education and the potential relationships to social media use and the digital academic services, called contract cheating websites (Rowland et al., 2018) or study helper websites (Harrison et al., 2021). In detail, the core of the study was the analysis of social media and contract cheating website use and how it related to judgments of cheating strategies by current and past postsecondary students. Through an online survey, participants (n = 47) were asked to indicate demographic features; report the time spent on specific social media sites and contract cheating websites (Chegg, Course Hero, and Quizlet); and indicate their judgments of seven academic dilemma scenarios depicting cheating. Spearman correlations revealed a moderate relationship between the time spent on social media and contract cheating websites (rs = .438, p = .003). Although no links emerged between dilemma judgments and social media in the overall sample, when separated into groups, contract cheating website users (n = 17) indicated greater time spent on social media than non-users, t(42) = 2.847, p = .003, along with correlations to certain cheating scenario and strategy judgments. These findings highlight the need to investigate the underlying connections students may have to social media, contract cheating services, and their perceptions of academic integrity to inform remedial strategies for cheating in higher education

    Experimental investigations on the effects of grid-screen, sand bed, and nozzle orientation on the dynamics of bubble plumes

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    A bubble plume is defined as a column of air that flows through a liquid ambient due to the density difference between air and the ambient liquid. Bubble plumes have been utilized in wastewater treatment and oxygen transfer in civil and environmental engineering projects. Based on the injection pressure of air flow, bubble plumes can be converted to jet plumes or bubbly jets. A bubble plume is generated by the injected pressurized air/gas, and a bubbly jet is generated by injection of gas-liquid mixture in the ambient. In addition, bubble plumes can be generated by injecting air through a nozzle, airborne stone, or a group of diffusers into the ambient water. Bubble plumes are classified as two-phase air-liquid flow in which the ambient hydrodynamics and initial conditions dictate the motion of air bubbles and their sizes. Bubble plumes are extensively used in civil, environmental, and chemical engineering fields in many different industrial applications (Beutel et al., 2008). In recent years, there has been an increasing interest in using bubble plumes for mixing or aeration in lakes to improve water quality by adding oxygen. [...

    Facial emotion recognition in women with symptoms of polycystic ovary syndrome

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    Prior research suggests that hormones, notably androgens, influence facial emotion recognition (FER). Most women with Polycystic Ovary Syndrome (PCOS) have elevated androgen levels and related androgenic symptoms, yet no study has directly explored the relationship between PCOS symptoms and FER. This thesis addressed this gap by investigating FER and self-reported PCOS symptoms. During the FER task, men and women identified emotions (anger, disgust, happiness, sadness or neutral) in images of emotional facial expressions. Both overall FER and accuracy recognizing each individual emotion were examined. PCOS symptom severity was assessed in women via self-report measures, including the Polycystic Ovary Syndrome Questionnaire (PCOSQ). Consistent with previous research, women were more accurate than men on FER. Additionally, women with provisional PCOS diagnoses were significantly less accurate at overall facial emotion recognition than women without provisional PCOS diagnoses, but this effect was driven by less accurate fear recognition. There was also a significant negative correlation between FER performance for fear and PCOS symptom severity (e.g., Hair Severity). A significant linear trend emerged for overall facial emotion recognition, revealing men as the least accurate, followed by women with provisional PCOS, and women without PCOS. These findings are consistent with the theory that androgens affect emotion recognition and suggest implications for PCOS symptoms on women's emotional well-being. The results may partly explain higher rates of mood disorders in women with PCOS and allow women with PCOS and healthcare providers to better understand the effects of PCOS

    Identifying and addressing roundabout accessibility issues confronting persons with vision loss in Canada: a pilot study

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    Municipalities and Transportation Agencies in Canada are building more roundabout intersections to promote efficient and safe movement of traffic for their low carbon footprint, low lifetime maintenance cost, and better safety performance thereby reducing collision frequency and severity, among other benefits. The main disadvantage is that Persons with Vision Loss (PWVL) feel unsafe when crossing the street on roundabouts. One of the objectives of this research project is to identify the concerns and challenges experienced by PWVL on roundabouts in Canada through a workshop and opinion surveys involving participants scattered across the country. Another objective is to conduct a field study assessing if the installation of sound strips on the road could help PWVL when deciding to cross the streets on the roundabout in Thunder Bay. To achieve these objectives the research team collaborated with the City of Thunder Bay, the staff, and clients of the Canadian National Institute for the Blind (CNIB) to plan and facilitate various events. It should be mentioned that 3D models of roundabout were used in training and to illustrate points relevant to roundabout accessibility when discussing with PWVL and other stakeholders. [...

    Neural synergy in compact biomedical IoT devices: spintronic pathways for MEG-EEG integration and portability

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    The human brain, a marvel of nature, consists of intricate neural networks that have fascinated and perplexed the scientific community for generations. As scientists and researchers globally endeavour to unravel the mysteries of bioelectrical activities that form the basis of our cognitive functions and experiences, our research emerges at the nexus of biology and cutting-edge technology. Specifically, we spotlight the remarkable capabilities of magnetoencephalography (MEG) and electroencephalography (EEG). These potent neuroimaging tools, celebrated for their unparalleled spatial and temporal precision, are synergistically combined in our study. We aim to map MEG innovatively signals onto their EEG replicas, employing avant-garde spintronic devices, with a particular emphasis on Magnetic Tunnel Junctions (MTJ). [...

    UAVs employment in the next generation wireless communication systems

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    New network architectures of communication systems are required to support and connect the next generation of wireless networks. This thesis focuses on unmanned aerial vehicles (UAVs) as integral components of future wireless networks. Specifically, this work addresses the optimization problem of association between the wireless access points (WAPs) and UAVs, aiming to maximize the total weighted sum rate. This optimization problem is subjected to fulfilling quality of service (QoS), number of links, available bandwidth, fairness, and coverage constraints. To address this challenge, a centralized algorithm with reduced complexity is proposed for solving the association problem. The results demonstrate that this algorithm’s solution offers excellent performance compared to suboptimal alternatives and approach the exhaustive search technique while significantly reducing computational complexity

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