Article
Multidisciplinary Sciences
Zijing Wu, Ce Zhang, Xiaowei Gu, Isla Duporge, Lacey F. Hughey, Jared A. Stabach, Andrew K. Skidmore, J. Grant C. Hopcraft, Stephen J. J. Lee, Peter M. Atkinson, Douglas J. McCauley, Richard Lamprey, Shadrack Ngene, Tiejun Wang
Summary: This study presents a deep learning pipeline that can automatically locate and count large herds of migratory ungulates in the Serengeti-Mara ecosystem using high-resolution satellite imagery. The results achieve accurate detection of nearly 500,000 individuals across thousands of square kilometers and multiple habitat types. This research demonstrates the capability of satellite remote sensing and machine learning techniques to automate the counting of large populations of terrestrial mammals and improve our understanding of animal behavior and ecology.
NATURE COMMUNICATIONS
(2023)
Article
Infectious Diseases
David Gonzalez-Barrio, Antonio J. Carpio, Mario Sebastian-Pardo, Alfonso Peralbo-Moreno, Francisco Ruiz-Fons
Summary: This study reviews the reporting of C. burnetii infections and exposure in Iberian wild mammals and analyzes the relationship between the diversity of wild mammals and the frequency of C. burnetii notifications. The results show a quadratic relationship between the number of wild mammal species and the presence of C. burnetii cases, with increasing diversity linked to increasing transmission until an intermediate level when the relationship is inverted.
TRANSBOUNDARY AND EMERGING DISEASES
(2022)
Article
Physics, Multidisciplinary
Alexandre Lira Foggiatto, Sotaro Kunii, Chiraru Mitsumata, Masato Kotsugi
Summary: In this study, the authors propose a method to analyze energy and coercivity directly from magnetic domain structures using a machine learning extended version of the Ginzburg-Landau model. The energy landscape in the magnetization reversal process is visualized as a function of features extracted via machine learning, enabling the visualization of the energy of the system and coercivity as a function of feature space components.
COMMUNICATIONS PHYSICS
(2022)
Article
Ecology
Mason Fidino, Travis Gallo, Elizabeth W. Lehrer, Maureen H. Murray, Cria A. M. Kay, Heather A. Sander, Brandon MacDougall, Carmen M. Salsbury, Travis J. Ryan, Julia L. Angstmann, J. Amy Belaire, Barbara Dugelby, Christopher J. Schell, Theodore Stankowich, Max Amaya, David Drake, Sheryl H. Hursh, Adam A. Ahlers, Jacque Williamson, Laurel M. Hartley, Amanda J. Zellmer, Kelly Simon, Seth B. Magle
Summary: The study found that the impact of urbanization on urban species diversity is related to landscape differences among cities. For example, in some cities, when the proportion of green space within a city exceeded 20%, some mammals' responses to urbanization changed from negative to positive; when the average housing density of a city exceeded about 700 housing units/km(2), some mammals' responses to urbanization also changed.
ECOLOGICAL APPLICATIONS
(2021)
Article
Engineering, Multidisciplinary
Azzam Barham, Mohd Suhaili Ismail, Maman Hermana, Eswaran Padmanabhan, Yahia Baashar, Osama Sabir
Summary: The utilization of artificial neural networks and principal component analysis in predicting TOC and Tmax based on petrophysical logs has proven to be reliable and effective. The neural network showed excellent performance in accurately predicting TOC and Tmax in two selected wells during testing.
ALEXANDRIA ENGINEERING JOURNAL
(2021)
Article
Biodiversity Conservation
Neda Bihamta Toosi, Ali Reza Soffianian, Sima Fakheran, Lars T. Waser
Summary: A novel approach based on multispectral remote sensing techniques was developed to evaluate the ecological status and disturbances of Iranian mangroves. The approach involved calculating a spatial disturbance index (SDI) using landscape metrics and principal component analysis (PCA). The results showed that the selected metrics could effectively quantify the SDI and identify different levels of disturbances. This approach enables the detection and management of disturbances in mangrove ecosystems.
ECOLOGICAL INDICATORS
(2022)
Article
Geosciences, Multidisciplinary
Bing Yu, Zhihua Shi, Yu Zhang
Summary: This study quantitatively evaluates the effects of hydrological and landscape characteristics on suspended sediment concentration and discharge hysteresis. It is found that precipitation, suspended sediment, area of grassland, and the largest patch area have significant impacts on hysteresis dynamics.
Article
Agriculture, Dairy & Animal Science
R. K. R. Vieira, M. Rodrigues, P. K. S. Santos, N. B. C. Medeiros, E. P. Candido, M. D. Nunes-Rodrigues
Summary: The study found that most farms lack efficient management practices, resulting in significant product quality loss, while only a small percentage have adopted a full set of techniques. Simple management practices including regular cleaning of milking lines, strip cup tests, and washing teats with water before milking could be adopted to improve milk quality.
Article
Energy & Fuels
Akbar Saba, Nepu Saha, Keenan-Conrad Williams, Charles J. Coronella, M. Toufiq Reza
Summary: This study investigated the effects of torrefaction temperature, pelletization temperature, and pelletization pressure on the energy density of torrefied char pellets using multivariate analyses and multivariate linear regression. The statistical analysis showed that all independent parameters are statistically significant for energy density, and the regression analysis indicated that mass density, higher heating value, and energy density have the highest output predictability.
BIOMASS CONVERSION AND BIOREFINERY
(2022)
Article
Biodiversity Conservation
Shaokun Li, Wenxi He, Lei Wang, Zhi Zhang, Xiaoqian Chen, Tianci Lei, Shaojun Wang, Zhuangzhuang Wang
Summary: This study proposes an innovative method to construct and optimize the landscape pattern, using Luojiang-Small Creek watershed as an example. The landscape ecological risk in 2019 was comprehensively evaluated using spatial principal component-redundancy analysis (SPCA-RDA), and the landscape pattern of the watershed was optimized using the minimum cumulative resistance model (MCR) and gravity model. The results show that human social and landscape pattern factors have a significant influence on the integrated ecological risk, while natural factors have a weaker influence. The optimized landscape pattern significantly improved connectivity.
ECOLOGICAL INDICATORS
(2023)
Article
Engineering, Multidisciplinary
Stephen Spurrier, Tom Allen, Robyn A. Grant
Summary: The sporting goods industry is a testing ground for new technologies. Climbing shoes are proposed as a case study for bio-inspired design. Previous studies have described foot adaptations in animals and incorporated them into bio-inspired products, but there hasn't been a systematic description of climbing adaptations in mammals, particularly rock climbing species. This study compares the foot morphology of rock climbing and arboreal species, showing that rock climbing species have fewer digits and larger anterior pads. The variations in shape, placement, and texture of foot pads in rock climbing species suggest a potential focus for future climbing shoe designs.
Article
Business
Anna Wassenhoven, Michael Rennings, Natalie Laibach, Stefanie Broering
Summary: This study utilizes patent indicators to identify promising technologies and distinguish Key Enabling Technologies (KETs) from emerging technologies and General Purpose Technologies (GPTs). The research focuses on the transition towards a bio-based economy and reveals that KETs combine broad knowledge, while emerging technologies are less knowledge intensive and GPTs facilitate further innovation.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2023)
Article
Ecology
Anh Ngoc Thi Do, Hau Duc Tran, Matthew Ashley, Anh Tuan Nguyen
Summary: Over the past 20 years, the mangrove landscape in Can Gio Mangrove Biosphere Reserve has undergone significant changes due to human activities. This study analyzed the temporal and spatial changes of land use/land cover using remote sensing data and applied machine learning techniques to predict mangrove aboveground biomass. The results provide valuable insights for land management and protection in the study site.
ECOLOGICAL INFORMATICS
(2022)
Article
Environmental Sciences
Tong Li, Ranjay K. Singh, Lizhen Cui, Zhihong Xu, Hongdou Liu, Francesco Fava, Shalander Kumar, Xiufang Song, Li Tang, Yanfen Wang, Yanbin Hao, Xiaoyong Cui
Summary: Sustainable livelihoods (SL) have become an important area of research in global environmental change, aligned with the Sustainable Development Goals (SDGs). In this study, scientometric analysis was conducted to examine research patterns and frontier areas in SL research. The results revealed an exponential increase in SL research since 1991, with the Consortium of International Agricultural Research Center (CGIAR) contributing the most research documents and citations. The identified research areas included livelihoods, conservation, food security, management, climate change, and ecosystem services, and the frontier areas included mass tourism, solar home systems, artisanal and small-scale mining, forest quality, marine-protected areas, agricultural sustainability, sustainable rangeland management, and indigenous knowledge.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Green & Sustainable Science & Technology
Yang Zhao, Junhan Liu, Yuqing Chen
Summary: This study investigated tourists' perspectives on the Kaiyuan Temple Scenic Area in Quanzhou City, China. Through questionnaire surveys and data analysis, it identified five factors influencing tourists' perceptions: spatial structure, functional structure, utility plants, heritage characteristics, and sensory characteristics. The findings revealed that tourists have high expectations for the layout of temple garden plant landscapes, preference for eye-catching and interesting plants, desire for comfortable recreation spaces, attention to the health benefits of plants, appreciation for diverse plant forms and regional characteristics, and relaxation and mood-enhancement from bright flowers and aromatic plants. These findings provide theoretical guidance for the design of urban temple garden plant landscapes that cater to tourists' needs.