Article
Engineering, Industrial
Yiyuan Zou, Honghai Zhang, Gang Zhong, Hao Liu, Dikun Feng
Summary: This paper proposes rapid calculating methods for collision probability estimation of small unmanned aircraft systems (sUAS) and validates the effectiveness through randomized tests. The study finds that the selection of different types of collision zones significantly affects the estimation of collision probabilities.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Social Issues
Nick Tepylo, Leilah Debelle, Jeremy Laliberte
Summary: Technological developments have enabled the rise of the commercial drone industry, and studies show that the public's perception of drones has become more supportive over the years. Factors such as age, gender, prior knowledge, and user experience influence the public's attitudes towards drones.
TECHNOLOGY IN SOCIETY
(2023)
Article
Meteorology & Atmospheric Sciences
Norman Wildmann, Tamino Wetz
Summary: This study presents a method to obtain the three-dimensional wind vector using avionic data from small multicopter unmanned aircraft systems (UAS). The results show good accuracy in both average and fluctuating parts of the wind components, and demonstrate the potential of such measurements for atmospheric boundary layer (ABL) research.
ATMOSPHERIC MEASUREMENT TECHNIQUES
(2022)
Article
Engineering, Civil
Weixi Wang, Xiaoming Li, Linfu Xie, Haibin Lv, Zhihan Lv
Summary: The study found that using spatial digital twins technology and convolutional neural network algorithm can improve the airspace safety performance of UAV system. By controlling the number of nodes and the number of switching between clusters, the lifetime of the entire network can be extended, optimizing network performance.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Environmental Sciences
Sungchan Oh, Da-Young Lee, Carlos Gongora-Canul, Akash Ashapure, Joshua Carpenter, A. P. Cruz, Mariela Fernandez-Campos, Brenden Z. Lane, Darcy E. P. Telenko, Jinha Jung, C. D. Cruz
Summary: This study introduces a measurement framework that evaluates the disease severity of tar spot using unmanned aircraft systems (UAS)-based plant phenotyping and regression techniques. The findings suggest that a regression model based on MLP provides the highest accuracy of disease measurements for tar spot quantification. The proposed UAS-based method shows a gradual spectral response as the disease develops, indicating its potential for disease quantification.
Review
Chemistry, Multidisciplinary
Gabriel J. Sanchez-Zuluaga, Luisa Isaza-Giraldo, German Dario Zapata-Madrigal, Rodolfo Garcia-Sierra, John E. Candelo-Becerra
Summary: The use of unmanned aircraft systems for routine, commercial, and industrial tasks is growing globally, providing increased profitability and reduced risks for operators. However, there is a low implementation of these systems in some countries, specifically in the electrical sector, due to a lack of technology adaptation. This paper analyzes the applications of unmanned aircraft systems in the global electrical industry, discusses their potential implementation in a local context, and presents a categorization based on future applications and current regulations.
APPLIED SCIENCES-BASEL
(2023)
Article
Computer Science, Software Engineering
Milos Ojdanic, Ezekiel Soremekun, Renzo Degiovanni, Mike Papadakis, Yves Le Traon
Summary: This article investigates the properties and importance of commit-relevant mutants in evolving software systems through an empirical study. The results show that commit-relevant mutants are mainly located outside of program commit changes, highlighting their significant role in testing evolving software systems.
ACM TRANSACTIONS ON SOFTWARE ENGINEERING AND METHODOLOGY
(2023)
Article
Engineering, Aerospace
Max Friedrich, Mark Vollrath
Summary: The study aims to design a display concept to assist human operators in monitoring the safety risks of multiple sUAS. The concept simplifies information visualization and guides visual attention to effectively support human operators in identifying abnormal situations.
Article
Computer Science, Information Systems
Yiyuan Zou, Honghai Zhang, Dikun Feng, Hao Liu, Gang Zhong
Summary: This article introduces a fast probabilistic collision detection method for small unmanned aircraft systems (sUAS) based on probability density function approximations. The proposed algorithm shows promising results with average computation time less than 0.001s and low error rates. Numerical simulations are conducted to study the impact of parameters on collision probabilities, and the optimal detection time for collision detection is discussed for different encounter scenarios.
Article
Computer Science, Hardware & Architecture
Max Friedrich, Mark Vollrath
Summary: This study proposes and validates a color-coding concept for system states in icon-based displays for supervisory control of multiple unmanned aircraft systems. The study also introduces a numerical measure for target salience based on differences in color space and validates it through experiments. The results support the proposed measure and suggest using grey for safe indications, red and yellow for safety critical indications, and cyan for advisory indications.
Article
Remote Sensing
Ben Mcilwaine, Monica Rivas Casado, Toby Waine
Summary: This paper investigates the optimal flight search patterns for detecting marine ingress bloom events using unmanned aircraft systems. It examines the detection performance of four flight search patterns against different bloom shapes through Monte-Carlo simulations. The study proposes a two phased flight approach and compares the performance of visual line of sight, extended visual line of sight, and beyond visual line of sight operations. The results show that parallel sweep and expanding square are the best performing flight search patterns, and beyond visual line of sight operations significantly increase the detection frequency of bloom events.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2022)
Article
Environmental Sciences
Diego Bedin Marin, Gabriel Araujo e Silva Ferraz, Paulo Henrique Sales Guimaraes, Felipe Schwerz, Lucas Santos Santana, Brenon Dienevam Souza Barbosa, Rafael Alexandre Pena Barata, Rafael de Oliveira Faria, Jessica Ellen Lima Dias, Leonardo Conti, Giuseppe Rossi
Summary: This study aimed to evaluate the potential of using the Random Forest machine learning method with vegetation indices obtained from Remotely Piloted Aircraft images to measure nitrogen content in coffee plants. The suggested model showed high accuracy in assessing nitrogen distribution in coffee trees and quantifying nitrogen deficiency, potentially leading to a significant reduction in nitrogen fertilizer application by producers.
Article
Ecology
Jace C. Taylor, Steven B. Bates, Jericho C. Whiting, Brock R. McMillan, Randy T. Larsen
Summary: Camera traps have been proven to be an effective, accurate, and safer method for estimating ungulate population abundance compared to traditional aerial surveys. By photographing marked animals in camera traps, a permanent record is created for future ecological and population research.
REMOTE SENSING IN ECOLOGY AND CONSERVATION
(2022)
Article
Engineering, Electrical & Electronic
Rajeev Sahay, Jaclynn J. Stubbs, Christopher G. Brinton, Gabriel C. Birch
Summary: In this study, a framework for cognitive uncertainty measurement that utilizes deep learning is developed, showing great potential and advantages in detecting and neutralizing unmanned aircraft systems. By adjusting the DL algorithm, it is able to accurately express uncertainty for both in-distribution and out-of-distribution samples, while maintaining accurate classification performance.
IEEE SENSORS JOURNAL
(2022)
Article
Engineering, Aerospace
Rafael M. Bertolin, Antonio B. Guimaraes Neto, Guilherme C. Barbosa, Juliano A. Paulino, Flavio J. Silvestre
Summary: The study proposes a static output-feedback stabilization system for improving handling qualities and structural dynamics decoupling of a flexible aircraft. The design, based on projective control technique, preserves the eigenstructure of certain modes of interest in the closed-loop system. The effectiveness of the proposed controller is confirmed through case studies involving an experimental prototype of a flexible aircraft.
JOURNAL OF GUIDANCE CONTROL AND DYNAMICS
(2021)
Article
Zoology
Geison P. Mesquita, Margarita Mulero-Pazmany, Serge A. Wich, Jose Domingo Rodriguez-Teijeiro
Summary: This study explores the potential of using drones for wildlife tracking, using an off-the-shelf system that is easy to use. The system's effectiveness in locating targets was tested by simulating target animals in different environments. In the tests conducted in the Brazilian Cerrado, the system achieved a detection rate of 90% in savanna areas and 40% in forest areas.
Article
Veterinary Sciences
Irene Agullo-Ros, Debora Jimenez-Martin, Leonor Camacho-Sillero, Christian Gortazar, Lorenzo Capucci, David Cano-Terriza, Irene Zorrilla, Felix Gomez-Guillamon, Ignacio Garcia-Bocanegra, Maria A. Risalde
Summary: A novel recombinant myxoma virus (ha-MYXV) caused high mortality in Iberian hare in 2018. The virus was mainly detected in epithelial and myxoma cells in the skin, as well as in macrophages, lymphocytes, fibroblasts, and endothelial cells in several organs.
Article
Multidisciplinary Sciences
Mohan Gupta, Roji Raut, Sulochana Manandhar, Ashok Chaudhary, Ujwal Shrestha, Saubhagya Dangol, G. C. Sudarshan, Keshab Raj Budha, Gaurab Karki, Sandra Diaz-Sanchez, Christian Gortazar, Jose de la Fuente, Pragun Rajbhandari, Prajwol Manandhar, Rajindra Napit, Dibesh Karmacharya
Summary: This study aimed to isolate and test potential probiotics bacteria from the cloacal swabs of indigenous chicken breeds in the rural outskirts of Kathmandu valley, Nepal. Four strains of Lactobacillus spp. with potential probiotics properties were identified. Further research is needed to evaluate these strains for use as poultry probiotics feed supplements.
Article
Veterinary Sciences
Patricia Barroso, Emmanuel Serrano, Antonio J. Carpio, Pelayo Acevedo, Joaquin Vicente, Christian Gortazar
Summary: This study aimed to assess the relationship between sex, age, and TB severity on the body condition of wild boar. The results showed that TB had only slight effects on wild boar body condition, and individuals with severe TB had better body condition. Age and sex were the main factors influencing the body condition of wild boar. Sampling population and season explained more variability in body condition than individual factors, suggesting the importance of external factors in the body condition and disease impact of this wild reservoir.
RESEARCH IN VETERINARY SCIENCE
(2023)
Article
Food Science & Technology
Rita Vaz-Rodrigues, Lorena Mazuecos, Margarita Villar, Jose Miguel Urra, Christian Gortazar, Jose de la Fuente
Summary: The aim of this study was to identify serum protein biomarkers for nutritional status to predict disease symptoms in COVID-19 patients before and after vaccination. Proteomics analysis revealed significant differences in serum proteins between pre-vaccine cohorts, with AGPs, CRP, and RBP increasing with COVID-19 severity, while albumin, TTR, and TF decreased. Immunoassay validated the results for albumin and RBP. In post-vaccine cohorts, the same pattern was observed for AGPs, CRP, albumin, and TTR, but TF levels were similar and RBP showed a slight reduction. Immunoassay validated the results for albumin, TTR, and TF. The study identified serum nutritional biomarkers that could predict COVID-19 prognosis and emphasized the importance of personalized nutrition protocols in managing the disease.
JOURNAL OF FUNCTIONAL FOODS
(2023)
Article
Infectious Diseases
Gloria Herrero-Garcia, Pelayo Acevedo, Pablo Quiros, Miguel Prieto, Beatriz Romero, Javier Amado, Manuel Antonio Queipo, Christian Gortazar, Ana Balseiro
Summary: By analyzing the prevalence of tuberculosis in cattle and wild boar as well as their ranging behavior and habitat use in Asturias, northern Spain from 2014 to 2020, this study found that wild boar may contribute to the re-emergence of TB in the region. Infected wild boar shared the same strains of M. bovis with infected cattle, and their spatiotemporal overlap around pastures increased the transmission risk of TB. These findings are important for monitoring and eradication efforts against tuberculosis.
TRANSBOUNDARY AND EMERGING DISEASES
(2023)
Article
Public, Environmental & Occupational Health
Elisa Ferreras-Colino, Esther Descalzo, Beatriz Romero, Christian Gortazar, Pablo Ferreras
Summary: This study reported the presence of M. bovis, the causative agent of tuberculosis, in Egyptian mongooses captured in Spain. Although no visible lesions were observed, further research is needed to understand its role in tuberculosis epidemiology.
ZOONOSES AND PUBLIC HEALTH
(2023)
Article
Ecology
Pablo Palencia, Pelayo Acevedo, Tim R. R. Hofmeester, Jorge Sereno-Cadierno, Joaquin Vicente
Summary: Motion-sensitive cameras are widely used for non-invasive monitoring, but the estimation of movement parameters is time-consuming. A study on wildlife populations in Europe showed significant intra-species variation in movement parameters, and predicted movement data led to biased density estimates. Therefore, it is recommended that monitoring programs estimate movement parameters and use camera data for accurate density estimates.
JOURNAL OF WILDLIFE MANAGEMENT
(2023)
Article
Ecology
Daniela F. Teixeira, Antonio J. Carpio, Luis Miguel Rosalino, Davide Carniato, Carlos Fonseca, Pelayo Acevedo
Summary: This study aims to identify the drivers of distribution for five mesocarnivores in Portugal (e.g., land cover, ecogeographic predictors, mammal prey availability), and understand the influence of Eucalyptus plantations on their range.
Article
Veterinary Sciences
Marta Martinez Aviles, Jaime Bosch, Benjamin Ivorra, Angel Manuel Ramos, Satoshi Ito, Jose Angel Barasona, Jose Manuel Sanchez-Vizcaino
Summary: African swine fever virus (ASFV) genotype II has been circulating in wild boar in the European Union since 2014. Control measures have been implemented to reduce the incidence of ASF, but both highly virulent and attenuated strains of ASFV are still present. This study evaluates the intraherd epidemiological parameters of low and highly virulent ASFV strains in wild boar and assesses the impact of attenuated strain circulation using compartmental model simulations. The findings provide valuable insights for epidemiological modeling, surveillance, and potential vaccination strategies for ASF in wild boar.
RESEARCH IN VETERINARY SCIENCE
(2023)
Article
Public, Environmental & Occupational Health
Jose de la Fuente, Agustin Estrada-Pena, Christian Gortazar, Rita Vaz-Rodrigues, Isabel Sanchez, Juan Carrion Tudela
Summary: This study used a citizen science approach to evaluate the risks associated with Lyme borreliosis (LB) and the implementation of control interventions in Spain. The results showed that factors such as age, gender, tick bites, disease clinical signs, comorbidities, health care services, and treatment effectiveness affect LB. The main conclusion of the study is the need for better surveillance, diagnosis, and treatment of LB and related comorbidities, as well as the development and implementation of new interventions.
VECTOR-BORNE AND ZOONOTIC DISEASES
(2023)
Article
Ecology
Jose Jimenez, Daniel Cara, Francisco Garcia-Dominguez, Jose Angel Barasona
Summary: This paper presents a case study on estimating the population density of the Iberian wolf using video camera traps and spatially explicit capture-recapture (SCR) analyses. The study estimated a density of 2.88 wolves/100 km² in the study area.
Article
Veterinary Sciences
Aleksandra Kosowska, Jose A. Barasona, Sandra Barroso-Arevalo, Luisa Blondeau Leon, Estefania Cadenas-Fernandez, Jose M. Sanchez-Vizcaino
Summary: African swine fever (ASF) is a lethal infectious disease that affects domestic and wild pigs. The virus can be transmitted directly through contact with infected animals or indirectly through contaminated feed or environments. The transmission patterns of different ASF virus isolates at the wildlife-livestock interface are still limited.
FRONTIERS IN VETERINARY SCIENCE
(2023)
Article
Immunology
Sandra Barroso-Arevalo, Lidia Sanchez-Morales, Jose A. Barasona, Lucas Dominguez, Jose M. Sanchez-Vizcaino
Summary: This study conducted an extensive serosurvey on pets in Spain and found that 3.59% of animals had neutralizing antibodies for SARS-CoV-2. The study also showed a correlation between COVID-19 incidence in humans and positivity to antibody detection in pets, highlighting the need for preventive measures. These findings indicate a higher infection rate in pets than previous molecular research reports.
EMERGING INFECTIOUS DISEASES
(2023)
Article
Veterinary Sciences
Anna Didkowska, Elisa Ferreras Colino, Wanda Olech, Hugguette Gloddy, Krzysztof Anusz, Jose Antonio Infantes-Lorenzo, Christian Gortazar
Summary: This study screened the Polish European bison population for exposure to Mycobacterium tuberculosis complex and Brucella spp., and found antibodies against both pathogens. These findings highlight potential threats to the European bison population.
VETERINARY MEDICINE AND SCIENCE
(2023)
