Ultrasonography of the Tympanic Bulla in Llamas and Alpacas: Techniques and Physiological Findings by Rainer Giebl, Johann Maierl, Alexander Tichy, Cassandra Eibl, Agnes Dadak, Sonja Franz

“…In the first step, dissection and sonography in cadaver specimens allowed the essential identification of the anatomical structures of the region of interest. Ultrasonography of the tympanic bulla was then performed on 71 healthy llamas and alpacas, and the length of the visible lateral bulla wall was measured sonographically. …”
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Tooth Movement Patterns Based on Traction Methods for Mandibular Canine Retraction Using Skeletal Anchorage: A Finite Element Analysis by Dong-Hwan Lee, Jong-Moon Chae, Jae Hyun Park, Na-Young Chang, Kyung-Hwa Kang, Sung-Kwon Choi

“…Methods: A finite element model was developed based on anatomical structures. A mini-implant was placed between the mandibular second premolar and first molar, and canine retraction was simulated using a power arm and a lever jig. …”
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Toward Greener Matrix Operations by Lossless Compressed Formats by Francesco Tosoni, Philip Bille, Valerio Brunacci, Alessio de de Angelis, Paolo Ferragina, Giovanni Manzini

“…Overall, our findings advocate for software engineers to adopt compressed data structures as important instruments in the development of more energy-efficient software components, extending beyond SpMV.…”
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A long-term monitoring of micro-tectonic movements in caves at Cape Kaliakra, Northeast Bulgaria: Correlation with seismic events and precipitation by Nikolai Dobrev, Plamen Ivanov, Konstantin Kostov, Emil Oynakov, Nina Nikolova, Boyko Berov, Orlin Dimitrov, Elena Koleva-Rekalova, Miroslav Krastanov, Rosen Nankin

“…For the first time, data obtained through instrumental observations are published, proving the activity of fault structures in this part of Bulgaria. The results can also be used to predict dangerous slope destabilizations, as well as to reduce the risk of their occurrence.…”
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Limited immediate effect of artificial light of realistic intensity on flight behaviour of commuting pond bat (Myotis dasycneme) by Claire Hermans, Laura Kijm, Marieke Paardekooper, Jens C. Koblitz, Peter Stilz, Anne-Jifke Haarsma, Marcel E. Visser, Kamiel Spoelstra

“…Artificial light at night can act as a barrier and cause habitat fragmentation, especially for bat species that are generally considered to be light-averse. Bats use linear structures to commute from their roost to their foraging areas. …”
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MFI-Net: multi-level feature invertible network image concealment technique by Dapeng Cheng, Minghui Zhu, Bo Yang, Xiaolian Gao, Wanting Jing, Yanyan Mao, Feng Zhao

“…However, existing methods often lack precision in selecting the hidden regions and primarily rely on residual structures. They also fail to fully exploit low-level features, such as edges and textures. …”
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Tuning the Morphological Properties of Granular Hydrogels to Control Lymphatic Capillary Formation by Daniel Montes, Sanjoy Saha, Angela Taglione, Donghyun Paul Jeong, Liao Chen, Fei Fan, Hsueh‐Chia Chang, Donny Hanjaya‐Putra

“…V180s samples showed earlier vessel formation as seen in lymphatic gene and protein expression, while pipetted gels exhibited greater capillary connectivity, forming larger vessel clusters and fewer small satellite structures. The pipetting gels also supported lower‐curvature, more linear capillary networks that bridged multiple droplets, likely due to reduced entrapment in large voids compared to vortexed gels. …”
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Iterative Fast Super-Twisting Flux Sliding Mode Observer for SPMSM with Tangent Quadrature Phase-Locked Loop by Fujiong Zhao, Yunxia Xie, Jianfeng Mao, Yingjie Xu, Gaosheng Li, Rongsheng Jia, Weigang Wang

“…Traditional low-order flux sliding mode observer (FSMO) and quadrature phase-locked loop (QPLL) structures generally encounter issues such as estimated signal chattering and inadequate dynamic performance. …”
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On the Deactivation Analysis of IM-5 Zeolite in Pseudocumene Methylation with Methanol by Shumin Hao, Yongrui Wang, Enhui Xing, Xuhong Mu

“…The carbon deposits within the internal surface had a higher abundance, mainly in the form of linear unsaturated chain-like structures with a high degree of unsaturation. …”
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Investigating Health Implications and Prevalence of Malaria among Adults by Opeyemi Paul Oduwoye, Mufutau Akanmu Popoola, Segun Raphael Adebayo, Ayoola Rasheed Gbemisola

“…A descriptive cross-sectional survey was conducted using a structured questionnaire administered to 500 respondents selected through multi-stage sampling. …”
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Microstructural evolution and strength-toughness behavior of fire-resistant steel under thermo-mechanical controlled processing by Hyungkwon Park, Hyo-Haeng Jo, Chiwon Kim, Seong Hoon Kim, Kyeong-Won Kim, Joonoh Moon, Hyun-Uk Hong, Jun-Ho Chung, Bong-Ho Lee, Chang-Hoon Lee

“…Fire-resistant steels are engineered to retain high strength at elevated temperatures, typically maintaining a yield strength (YS) ratio (600 °C/RT) above 0.67 to prevent sudden structural collapse during fire exposure. Although achieving such strength retention is critical, ensuring sufficient fracture toughness is equally essential for structural reliability. …”
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Kinetics of Proton Transfer and String of Conformational Transformation for 4-Pyridone-3-carboxylic Acid Under External Electric Field by Ya-Wen Li, Rui-Zhi Feng, Xiao-Jiang Li, Ai-Chuan Liu, En-Lin Wang

“…Due to the first-order Stark effect, some good linear relationships form between the changes of the structures, atoms in molecules (AIMs) results, surface electrostatic potentials, barriers of the transition state, and the external electric field strengths. …”
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Influence of Xanthan gum on the engineering properties and microstructure of expansive soils by Miao Ouyang, Hongri Zhang, Hongri Zhang, Guiyao Wang, Youjun Li, Jianping Song

“…Mechanistically, xanthan gum improved soil properties via two pathways: (1) forming bridging structures between soil particles to enhance cohesion and tensile strength; (2) filling soil voids and generating a polymer film to inhibit water-clay mineral interactions, thereby reducing hydration membrane thickness. …”
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Effects of screw configuration and interfacial properties on oil incorporation in high moisture extrusion by Shuzo Hashimoto, Naoya Ikenaga, Atze Jan van der Goot, Leonard M.C. Sagis

“…Less deformation of the air pockets between protein structures could be seen in the screw with fewer kneading discs in multiphoton microscopy. …”
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Hardware measurement of MMC time delay and its impact on the stability of grid-connected MMC-HVDC systems by Shuai Wang, Theodor Heath, Mike Barnes, Robin Preece, Peter R Green

“…Given MMC complex multi-layer control structures, this may affect the control speed, system stability and ancillary service provision. …”
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Effect of Scalp Hair Follicles on NIRS Quantification by Monte Carlo Simulation and Visible Chinese Human Dataset by Xiang Fang, Boan Pan, Weichao Liu, Zhiyuan Wang, Ting Li

“…Here we have incorporated the Monte Carlo modeling for light transport in voxelized media, and visible Chinese human with high precision in depicting three-dimensional human anatomical structures, to study the effect of SHF density on NIRS quantification. …”
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Daytime Equatorial Spread F‐Like Irregularities Detected by HF Doppler Receiver and Digisonde by B. Olugbon, E. O. Oyeyemi, A. Kascheyev, A. B. Rabiu, A. A. Obafaye, O. O. Odeyemi, A. O. Adewale

“…Analysis of GPS TEC data from Nigeria during these events revealed the presence of wave structures consistent with TIDs.…”
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Quantitative evaluation of dislocation density in SUS316L utilizing non-contact microwave reflection method by Guodong WANG, Shaojie GU, Yasuhiro KIMURA, Yuhki TOKU, Yang JU

“…Plastic deformation is a common issue that influences both the mechanical and electrical properties, with profound implications for the longevity of engineered structures and components. Dislocation density is the core factor in the plastic deformation process. …”
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A Comparison of Machine Learning Algorithms for Predicting Alzheimer’s Disease Using Neuropsychological Data by Zakaria Mokadem, Mohamed Djerioui, Bilal Attallah, Youcef Brik

“…These findings highlight the robustness and efficiency of ensemble learning algorithms, especially in handling complex, non-linear data structures. This study underscores the potential of RF and GB as reliable tools for early detection and classification of Alzheimer’s disease using neuropsychological data. …”
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Constructing hidden differential equations using a data-driven approach with the alternating direction method of multipliers (ADMM) by Jye Ying Sia, Yong Kheng Goh, How Hui Liew, Yun Fah Chang

“…ADMM has found applications in various fields, such as signal processing, machine learning, and image reconstruction, which involve decomposable structures. The proposed algorithm provides a way to discover sparse approximations of differential equations from data. …”
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