Review
Ecology
Giuseppe Fusco, Alessandro Minelli
Summary: The article examines the post-embryonic segment addition in arthropods and emphasizes the evolution across hatching. It discusses the developmental changes underlying arthropod segmentation evolution with critical application of key concepts, showing the complexity of processes occurring across hatching.
FRONTIERS IN ECOLOGY AND EVOLUTION
(2021)
Article
Physics, Multidisciplinary
Jun Suzuki
Summary: This paper investigates a family of quantum Fisher metrics based on a convex mixture of two well-known inner products, deriving conditions for monotonicity and providing characterizations of quantum statistical models for three specific models. The introduced commutation super-operator by Holevo plays a key role in the study, enabling characterization of properties of tangent spaces of the quantum statistical model and association with the Holevo bound.
EUROPEAN PHYSICAL JOURNAL PLUS
(2021)
Article
Computer Science, Cybernetics
Ye Pan, Kenny Mitchell
Summary: The method presented in the article achieves a dynamic viewer-centric perspective projection on 2D displays, with evaluation results showing that tracking the selected character with viewer-centric imagery can improve gaze and engagement estimation accuracy.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES
(2021)
Article
Computer Science, Interdisciplinary Applications
Albert Wei, Julie Wang, Jiacheng Liu, Monica L. H. Jones, Jingwen Hu
Summary: This study aimed to develop a statistical head geometry model that considers the size and shape variations among the adolescent and young adult population. Head CT scans of 101 subjects between the ages of 14 and 25 were used for threshold-based segmentation, landmarking, mesh morphing, and projection. Statistical geometry models of the skull and scalp were developed as functions of age, sex, stature, BMI, head length, head breadth, and tragion-to-top of head using generalized Procrustes analysis (GPA), principal component analysis (PCA), and multivariate regression analysis. These models can serve as the geometric basis to develop individualized head FE models for injury assessment and the design of head-borne equipment.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2022)
Article
Environmental Studies
Cosimo Magazzino, Marco Gallegati, Federico Giri
Summary: Empirical studies of the EKC hypothesis may be sensitive to datasets, specifications, and functional forms. This paper investigates the long-run relationship among CO2 emissions, real GDP, and energy consumption using a panel of 9 advanced economies from 1870 to 2008. The results suggest that while the EKC exists at the panel level post-1950s, the inverted U-shaped relationship between CO2 and real GDP is only validated for a subset of countries at the individual country level. However, a clear inverse U-shaped pattern emerges for all countries, except Canada, when a semi-parametric regression framework is applied.
ENVIRONMENTAL IMPACT ASSESSMENT REVIEW
(2023)
Article
Physics, Applied
Martina Esposito, Arpit Ranadive, Luca Planat, Nicolas Roch
Summary: Quantum-limited microwave parametric amplifiers are crucial for emerging quantum technologies and applications requiring successful readout of weak microwave signals with minimal noise. This perspective focuses on traveling wave parametric amplifiers, discussing recent achievements and current challenges. Future research directions may explore these devices as platforms for multi-mode entanglement generation and single photon detectors.
APPLIED PHYSICS LETTERS
(2021)
Article
Optics
Michele N. Notarnicola, Marco G. Genoni, Simone Cialdi, Matteo G. A. Paris, Stefano Olivares
Summary: This paper addresses the use of an optical parametric oscillator (OPO) to mitigate phase noise caused by phase diffusion. Two scenarios where phase diffusion is typically present are analyzed, and it is proved that an OPO can partially or fully compensate for the noise.
JOURNAL OF THE OPTICAL SOCIETY OF AMERICA B-OPTICAL PHYSICS
(2022)
Article
Construction & Building Technology
Yasser Ibrahim, Tristan Kershaw, Paul Shepherd, Ibrahim Elwy
Summary: Urban geometry plays a crucial role in determining microclimatic conditions, with adjustments in building heights, street widths, and orientations significantly impacting outdoor thermal comfort in hot-arid climates such as Cairo, Egypt. Strong negative correlations were found between height-to-width ratios and UTCI outputs, with noticeable reductions in UTCI achievable through changes in H/W ratios and orientations. Recommendations for urban planners highlight the importance of using optimized parameters to exceed regulatory thresholds and improve thermal comfort levels in urban environments.
SUSTAINABLE CITIES AND SOCIETY
(2021)
Article
Multidisciplinary Sciences
Jianchen Guo, Mingmin Ding, Libin Wang, Yangjie Ruan, Bin Luo
Summary: A numerical simulation and analysis of a 60 m model TBCD are conducted to reveal its stable bearing capacity. The effects of factors such as geometry nonlinearity, material nonlinearity, and original imperfections on the stability of the TBCD are comprehensively analyzed. The unstable mode of the TBCD depends on the loading form. A small prestress level clearly decreases the stability, and original imperfections larger than 1/400 of the span become problematic. Adding hoop tension rods effectively improves the integrity and stability of the TBCD.
Article
Economics
Torben G. Andersen, Ilya Archakov, Goekhan Cebiroglu, Nikolaus Hautsch
Summary: This study extends the classic martingale-plus-noise model for high-frequency returns to incorporate an error correction mechanism and endogenous pricing errors. It provides empirical evidence and modeling techniques to bridge the gap between high-frequency econometrics and market microstructure models.
JOURNAL OF ECONOMETRICS
(2022)
Article
Multidisciplinary Sciences
Sam Pimentel, Youssef Qranfal
Summary: Data assimilation, the process of incorporating observations into numerical models, is crucial in computational science but can be computationally expensive and challenging to incorporate constraints. A new approach using Kullback-Leibler divergence has been introduced, offering improved computational efficiency and the ability to naturally embed constraints.
Article
Geosciences, Multidisciplinary
A. Pavlides, E. A. Varouchakis, D. T. Hristopulos
Summary: Mining activities can have a significant impact on groundwater reservoirs nearby. Different methods have been used to investigate the spatial variability of groundwater levels in mining areas, but face challenges such as small sample size, non-Gaussian data distribution, and clustering of sample locations near the mines. This research compares two stochastic methods, stochastic local interactions (SLI) and universal Kriging (UK), using water level data from 72 locations around three mines in Northern Greece. The results show that UK performs better overall, while SLI is slightly better for smaller sample sizes where reliable estimation of the variogram model is not possible.
HYDROGEOLOGY JOURNAL
(2023)
Article
Green & Sustainable Science & Technology
Jan Petru, Vladislav Krivda
Summary: This article focuses on the analysis and evaluation of the geometric layout of turbo roundabouts, and discusses their impact on road traffic safety and sustainability. Geometric elements of turbo roundabouts, such as shape and lane separation, play a crucial role in vehicle passage.
Article
Materials Science, Textiles
W. Deng, X. Wang, W. Ke, C. Wang, Z. Deng
Summary: In this study, a fibre and yarn level parametric modelling method based on the Rhino & Grasshopper package was developed to improve the accuracy of fabric simulation. The geometric and structural characteristics of fibre and spun yarn were analysed to build a three-dimensional yarn model. Realistic simulation of a woven fabric was carried out, incorporating yarn hairiness features for the first time. The results show that the fibre to fabric parametric modelling method based on Rhino & Grasshopper has high fidelity and broad application prospects.
JOURNAL OF THE TEXTILE INSTITUTE
(2023)
Article
Computer Science, Information Systems
Tsorng-Lin Chia, Hsiang-Ju Chen, Ping-Sheng Huang
Summary: This paper presents an imaging system using one projector and perspective projection to generate static and dynamic anamorphic images, solving the existing problems in traditional applications of stereoscopic images and enhancing the 3D visual effect.
MULTIMEDIA TOOLS AND APPLICATIONS
(2022)
Article
Architecture
Dejan Mitov, Bojan Tepavcevic, Vesna Stojakovic, Ivana Bajsanski
NEXUS NETWORK JOURNAL
(2019)
Editorial Material
Architecture
Bojan Tepavcevic, Vesna Stojakovic
NEXUS NETWORK JOURNAL
(2019)
Article
Chemistry, Multidisciplinary
Milos Obradovic, Ivana Vasiljevic, Isidora Duric, Jelena Kicanovic, Vesna Stojakovic, Ratko Obradovic
APPLIED SCIENCES-BASEL
(2020)
Article
Plant Sciences
Vesna Stojakovic, Ivana Bajsanski, Stevan Savic, Dragan Milosevic, Bojan Tepavcevic
URBAN FORESTRY & URBAN GREENING
(2020)
Article
Chemistry, Multidisciplinary
Isidora Duric, Ratko Obradovic, Ivana Vasiljevic, Nebojsa Ralevic, Vesna Stojakovic
Summary: Three-dimensional digitization technologies are reliable for spatial data collection, and point segmentation techniques are relevant for contour detection. The study aims to describe the stylistic characteristics of shapes of specific art elements and apply mathematical shape analysis to determine their origins. The results suggest that the proposed methods could be helpful for CAD visualization and shape analysis of complex geometry.
APPLIED SCIENCES-BASEL
(2021)
Article
Architecture
Vesna Stojakovic, Buda Bajic, Bojan Tepavcevic, Marko Jovanovic
Summary: This research examines the influence of various symmetry group patterns on the perception of an image achieved through perforation of a planar material. Both quantitative evaluation using digital image processing tools and qualitative evaluation based on experts' opinions are utilized to assess the perception of perforated images, and the findings are summarized.
NEXUS NETWORK JOURNAL
(2023)
Article
Architecture
Bojan Tepavcevic, Vesna Stojakovic, Marko Jovanovic, Mirko Rakovic
Summary: Design and artwork driven by image sampling processing have a long tradition in contemporary art and computer graphics. In recent years, there has been renewed interest in developing new design-to-fabrication techniques using industrial robots, based on image sampling and abstract image representation. This paper presents three different robotic fabrication strategies for generating surface patterns driven by image sampling.
NEXUS NETWORK JOURNAL
(2023)
Editorial Material
Architecture
Vesna Stojakovic, Bojan Tepavcevic
Summary: This letter introduces Vol. 25(4) of the Nexus Network Journal: Architecture and Mathematics, which focuses on the influence of geometry on architectural making process and vice versa. The research contributions in this special issue explore various aspects, such as fabrication experiments, investigation of geometry and material constraints, and the development of theoretical frameworks, to translate architectural geometry into physical objects in architecture.
NEXUS NETWORK JOURNAL
(2023)
Proceedings Paper
Computer Science, Artificial Intelligence
Marko Jovanovic, Marko Vucic, Bojan Tepavcevic, Mirko Rakovic, Jovica Tasevski
ADVANCES IN SERVICE AND INDUSTRIAL ROBOTICS
(2020)
Proceedings Paper
Architecture
Bojan Tepavcevic, Vesna Stojakovic, Dejan Mitov
ECAADE SIGRADI 2019: ARCHITECTURE IN THE AGE OF THE 4TH INDUSTRIAL REVOLUTION, VOL 1
(2019)
Proceedings Paper
Architecture
Isidora Djuric, Vesna Stojakovic, Snezana Misic, Igor Kekeljevic, Ivana Vasiljevic, Milos Obradovic, Ratko Obradovic
ECAADE SIGRADI 2019: ARCHITECTURE IN THE AGE OF THE 4TH INDUSTRIAL REVOLUTION, VOL 1
(2019)
Article
Engineering, Multidisciplinary
Igor Budak, Zeljko Santosi, Vesna Stojakovic, Daniela Korolija Crkvenjakov, Ratko Obradovic, Mijodrag Milosevic, Mario Sokac
TEHNICKI VJESNIK-TECHNICAL GAZETTE
(2019)
