1,720,998 research outputs found
The role of forest expansion and contraction in species diversification among galagos (Primates: Galagidae)
No full textEvolutionary transitions toward pair living in nonhuman primates as stepping stones toward more complex societies
No full textPhylogeography and evolutionary lineage diversity in the small-eared greater galago, Otolemur garnettii (Primates: Galagidae)
No full textPenna, Anna, Dillon, Rosemarie, Bearder, Simon K, Karlsson, Johan, Perkin, Andrew, Pozzi, Luca (2023): Phylogeography and evolutionary lineage diversity in the small-eared greater galago, Otolemur garnettii (Primates: Galagidae). Zoological Journal of the Linnean Society 198 (1): 131-148, DOI: 10.1093/zoolinnean/zlac079, URL: https://academic.oup.com/zoolinnean/article/198/1/131/679374
Figure 3. Phylogenetic tree estimated using BEAST from dataset 1 in Phylogeography and evolutionary lineage diversity in the small-eared greater galago, Otolemur garnettii (Primates: Galagidae)
No full textFigure 3. Phylogenetic tree estimated using BEAST from dataset 1 (cytochrome b) and node-calibrated using the fossil record.Published as part of Penna, Anna, Dillon, Rosemarie, Bearder, Simon K, Karlsson, Johan, Perkin, Andrew & Pozzi, Luca, 2023, Phylogeography and evolutionary lineage diversity in the small-eared greater galago, Otolemur garnettii (Primates: Galagidae), pp. 131-148 in Zoological Journal of the Linnean Society 198 (1) on page 139, DOI: 10.1093/zoolinnean/zlac079, http://zenodo.org/record/792459
A genetic algorithm-based approach for the time, cost, and quality trade-off problem for construction projects
No full textQuality identifies the overall level of performance of the desired building facility or civil infrastructure. Quality can include safety and sustainability requirements, and planning the desired quality level is paramount in construction projects. Nevertheless, two other significant project management Key Performance Indicators (KPIs) must be considered in construction project management: time and cost. Project Managers always perform a trade-off between these three KPIs, but it is known that the relationship between these three indicators can be difficult to understand. Therefore, a multi-objective Genetic Algorithm (GA) has been proposed to develop a comprehensive approach to optimize project performance in construction. The proposed multi-objective GA can be used as a decision support system for the detailed design stage of a construction project to detect better and alternative detailed design and construction solutions. A GA is an Artificial Intelligence application (AI) that develops an evolutionary learning optimization process that discards worse solutions and re-introduces better solutions with an iterative process. Therefore, the most suitable solution can be found by performing a trade-off between the three indicators. The research aims to demonstrate the availability of AI applications to understand and perform the Time–Cost–Quality trade-off for construction projects. The developed procedure has been tested on a simple pilot study of a building renovation project, and the best-found optimized results have been detected with Solver® and discussed. Future research work will be aimed at improving the procedure’s efficiency as to be implemented in larger projects
Brain-computer interface for robot control with eye artifacts for assistive applications
Full text linkHuman-robot interaction is a rapidly developing field and robots have been taking more active roles in our daily lives. Patient care is one of the fields in which robots are becoming more present, especially for people with disabilities. People with neurodegenerative disorders might not consciously or voluntarily produce movements other than those involving the eyes or eyelids. In this context, Brain-Computer Interface (BCI) systems present an alternative way to communicate or interact with the external world. In order to improve the lives of people with disabilities, this paper presents a novel BCI to control an assistive robot with user's eye artifacts. In this study, eye artifacts that contaminate the electroencephalogram (EEG) signals are considered a valuable source of information thanks to their high signal-to-noise ratio and intentional generation. The proposed methodology detects eye artifacts from EEG signals through characteristic shapes that occur during the events. The lateral movements are distinguished by their ordered peak and valley formation and the opposite phase of the signals measured at F7 and F8 channels. This work, as far as the authors' knowledge, is the first method that used this behavior to detect lateral eye movements. For the blinks detection, a double-thresholding method is proposed by the authors to catch both weak blinks as well as regular ones, differentiating itself from the other algorithms in the literature that normally use only one threshold. Real-time detected events with their virtual time stamps are fed into a second algorithm, to further distinguish between double and quadruple blinks from single blinks occurrence frequency. After testing the algorithm offline and in realtime, the algorithm is implemented on the device. The created BCI was used to control an assistive robot through a graphical user interface. The validation experiments including 5 participants prove that the developed BCI is able to control the robot
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Ecologie degli ambienti urbani: sfide applicative/Ecologies of Urban Environments: Challenges in Applying Anthropology
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