Effect of HIP Treatment on the Evolution of Texture and Microstructure of LBPF Fabricated Pure Ni by K. Chadha, Y. Tian, J.G. Spray, C. Aranas Jr.

“…The texture analysis of the hot isostatic pressed (HIP) and as-printed (AP) samples were done utilizing orientation distribution function (ODF) maps. The AP sample comprises mostly of <110>||BD fiber texture with insignificant presence of twins. …”
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Layer-by-Layer Multifractal Scanning of Optically Anisotropic Architectonics of Blood Plasma Films: Fundamental and Applied Aspects by Alexander Ushenko, Natalia Pavlyukovich, Oksana Khukhlina, Olexander Pavlyukovich, Mykhaylo Gorsky, Iryna Soltys, Alexander Dubolazov, Yurii Ushenko, Olexander Salega, Ivan Mikirin, Jun Zheng, Zhebo Chen, Lin Bin

“…This study focuses on the topographic structure of optical anisotropy maps (theziograms) of dehydrated blood plasma films (facies) to identify and utilize markers for diagnosing self-similarity (multifractality) in the birefringence parameters of supramolecular protein networks. …”
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Spatial parameters for transportation: A multi-modal approach for modelling the urban spatial structure using deep learning and remote sensing by Dorothee Stiller, Michael Wurm, Thomas Stark, Pablo d'Angelo, Karsten Stebner, Stefan Dech, Hannes Taubenböck

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Patients with dementia with Lewy bodies display a signature alteration of their cognitive connectome by Roraima Yanez-Perez, Eloy Garcia-Cabello, Annegret Habich, Nira Cedres, Patricia Diaz-Galvan, Carla Abdelnour, Jon B. Toledo, José Barroso, Daniel Ferreira

“…For nodal measures, DLB showed higher global efficiency in most measures, higher participation (centrality) in free-recall memory, processing speed/attention, and executive measures, and lower local efficiency (segregation) than HC. …”
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The Effect of Land Use Change on Runoff Using the SWAT Model in the Tajan Watershed by hayede bayani, ali bagheri, Davod Akbari Nodehi, Valiollah Karimi

“…The results of the analysis of changes during the years 1990-2020 showed the reduction of forests by 1211 hectares. The most deforestation was observed in the margins of former agricultural lands due to better access. …”
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Delimitation of Landslide Areas in Optical Remote Sensing Images Across Regions via Deep Transfer Learning by Zan Wang, Shengwen Qi, Yu Han, Bowen Zheng, Yu Zou, Yue Yang

“…Mask R-CNN and U-Net are the two most popular deep learning frameworks for image segmentation in computer vision. …”
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The system of acquisition of information on indoor radon concentration with the motivated participation of the population by A. M. Marennyy, S. Yu. Antropov, L. E. Karl, D. V. Shchitov, P. A. Sidyakin, M. A. Murzabekov

“…From a social point of view, the system provides economically affordable services for most citizens to determine the level of radon exposure in the air of residential, public and other buildings. …”
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A framework for cyber threat modeling and risk assessment in smart city environments by Mariya Ouaissa, Mariyam Ouaissa, Zineb Nadifi, Sarah El Himer, Yassine Al Masmoudi, Ali Kartit

“…To enrich the analysis and align with real-world adversarial behavior, the MITRE ATT&amp;CK framework is also utilized to map identified threats to known tactics and techniques. …”
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Development of a flavour wheel for Coffea canephora using rate-all-that-apply by Fabiana M. Carvalho, Enrique A. Alves, Mateus M. Artêncio, Alvaro L. L. Cassago, Lucas L. Pereira

“…The aroma/flavour wheel can be used as a tool to identify, understand, and map the sensory characteristics of C. canephora that are most important or valued in different markets. …”
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Edge-preserving filter with adaptive gradient optimization by Wanshu Fan, Zhixun Su, Hongyan Wang, Nannan Li, Xuan Wang

“…Wireless multimedia sensor networks have recently emerged as one of the most important technologies to actively perceive physical world and empower a wide spectrum of potential applications in various areas. …”
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Harmonization of marine gravity data in Eastern Baltic by Vents Zusevics

“…Results present re-processed and filtered marine gravity datasets, and their comparison statistics. …”
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A new BWO-based RGB vegetation index and ensemble learning strategy for the pests and diseases monitoring of CCB trees using unmanned aerial vehicle by Keliang Hu, Keliang Hu, Junchen Liu, Hai Xiao, Qiangguo Zeng, Jun Liu, Jun Liu, Lei Zhang, Lei Zhang, Man Li, Man Li, Zhihui Wang, Zhihui Wang

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Increasing COVID-19 Testing and Vaccination Uptake in the Take Care Texas Community-Based Randomized Trial: Adaptive Geospatial Analysis by Kehe Zhang, Jocelyn V Hunyadi, Marcia C de Oliveira Otto, Miryoung Lee, Zitong Zhang, Ryan Ramphul, Jose-Miguel Yamal, Ashraf Yaseen, Alanna C Morrison, Shreela Sharma, Mohammad Hossein Rahbar, Xu Zhang, Stephen Linder, Dritana Marko, Rachel White Roy, Deborah Banerjee, Esmeralda Guajardo, Michelle Crum, Belinda Reininger, Maria E Fernandez, Cici Bauer

“…We developed interactive data dashboards, which included maps displaying the locations of selected CBGs and community-level information, to inform the selection process and guide intervention delivery. …”
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Multi-hazard probability assessment in Quinali A Watershed, Albay, Philippines by Jerico E. Mendoza, Gifford Jay L. Agudo, Alfredo Mahar Francisco A. Lagmay, Juan M. Pulhin, Rex Victor O. Cruz, Joy T. Santiago, Marc Anthony M. Moises, Canesio D. Predo, Maricel T. Villamayor, Marlo D. Mendoza, Rose Jane J. Peras, Lorena L. Sabino, Liezl B. Grefalda, Asa Jose U. Sajise, Florencia B. Pulhin, Josephine E. Garcia, Catherine S. Anders, Kyle Vincent R. Singson

“…To better understand their potential impacts on communities within the watershed, we examine the spatial distribution of multi-hazard events, focusing on four hazards: flood, rain-induced landslide, liquefaction, and pyroclastic flow hazards. Individual hazard maps were created utilizing various numerical modeling techniques, and linear aggregation was employed through an analytic hierarchy process to develop a comprehensive multi-hazard map. …”
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Characterization of Irrigated Rice Cultivation Cycles and Classification in Brazil Using Time Series Similarity and Machine Learning Models with Sentinel Imagery by Andre Dalla Bernardina Garcia, Ieda Del’Arco Sanches, Victor Hugo Rohden Prudente, Kleber Trabaquini

“…The mapping and monitoring of rice fields on a large scale using medium and high spatial resolution data (<10 m) is essential for efficient agricultural management and food security. …”
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Detecting mass wasting of Retrogressive Thaw Slumps in spaceborne elevation models using deep learning by Kathrin Maier, Philipp Bernhard, Sophia Ly, Michele Volpi, Ingmar Nitze, Shiyi Li, Irena Hajnsek

“…To extend this capability across the entire Arctic permafrost region, automation in data processing and RTS detection is essential. This study introduces a method that employs deep learning on InSAR-derived dDEMs to map RTSs and quantify volume changes from RTS activity. …”
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Bibliometric Analysis of the Status and Trends of Seamounts’ Research and Their Conservation by Maria Luisa Pica, Francesco Rendina, Adele Cocozza di Montanara, Giovanni Fulvio Russo

“…This study highlights the necessity to expand scientific knowledge on seamounts, especially regarding their ecological processes, to provide useful data for the successful management and conservation of these still mostly unexplored habitats.…”
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Solar Radio Burst Detection Based on Deformable DETR by Mingming Wang, Guowu Yuan, Hao Zhou, Chengming Tan, Hao Wu

“…The main challenges faced are noise interference in the spectrum and the diversity of SRBs. However, most research focuses on classifying whether SRBs exist or detecting a single type of SRB. …”
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Dynamic causal modeling of neural responses to an orofacial pneumotactile velocity array by Yingying Wang, Rebecca Custead, Hyuntaek Oh, Steven M. Barlow

“…Our results revealed the contralateral SI and SII as the most likely sources of the driving inputs within the sensorimotor network for the pneumotactile stimuli, suggesting parallel processing of the orofacial pneumotactile stimuli. …”
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A forestry investigation: Exploring factors behind improved tree species classification using bark images by Gokul Kottilapurath Surendran, Deekshitha, Martin Lukac, Martin Lukac, Jozef Vybostok, Martin Mokros

“…Additionally, the aim is to determine the most effective algorithmic approaches for efficient tree species classification from bark images and to make these methods more accessible to interdisciplinary researchers. …”
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