Expression of cell-wall related genes is highly variable and correlates with sepal morphology by Hartasánchez, Diego A., Kiss, Annamaria, Battu, Virginie, Soraru, Charline, Delgado-Vaquera, Abigail, Massinon, Florian, Brasó-Vives, Marina, Mollier, Corentin, Martin-Magniette, Marie-Laure, Boudaoud, Arezki, Monéger, Françoise

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Semantic Segmentation in Satellite Hyperspectral Imagery by Deep Learning by Jon Alvarez Justo, Alexandru Ghita, Daniel Kovac, Joseph L. Garrett, Mariana-Iuliana Georgescu, Jesus Gonzalez-Llorente, Radu Tudor Ionescu, Tor Arne Johansen

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<i>Ab initio</i> Calculations of the Electronic-Energy Structure and Optical Properties of Lanthanum and Neodymium Pyrozirconates by A. A. Lavrentyev, B. V. Gabrelian, Vu Van Tuan, K. F. Kalmykova

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Latest Advancements in Credit Risk Assessment with Machine Learning and Deep Learning Techniques by Soni Umangbhai, Jethava Gordhan, Ganatra Amit

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QAR Data Imputation Using Generative Adversarial Network with Self-Attention Mechanism by Jingqi Zhao, Chuitian Rong, Xin Dang, Huabo Sun

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An AI-Enabled Framework for <i>Cacopsylla chinensis</i> Monitoring and Population Dynamics Prediction by Ruijun Jing, Deyan Peng, Jingtong Xu, Zhengjie Zhao, Xinyi Yang, Yihai Yu, Liu Yang, Ruiyan Ma, Zhiguo Zhao

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Reconstructing Fractional Holographic Dark Energy with scalar and gauge fields by Ayush Bidlan, Paulo Moniz, Oem Trivedi

“…In more detail, we methodically compute the corresponding Equation of State (EoS) parameters and field (kinetic and potential) features for the fractional parameter ( $$\alpha $$ α ) range, viz. $$1<\alpha \le 2$$ 1 < α ≤ 2 . …”
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Evaluating multitemporal vegetation indices from Zhuhai-1 hyperspectral images for detecting a rapidly spreading invasive species - Spartina alterniflora by Yuanhui Zhu, Soe W. Myint, Jingjing Cao, Kai Liu, Mei Zeng, Chenxi Diao

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Intelligent assessment of damage and prediction of seismic damage spectrum under the effect of Near-Fault earthquakes in Iran by R. Fazli, M. Shamekhi Amiri, H. Pahlavan

“…Finally, a simplified equation has been suggested for assessing the potential seismic damage spectrum of the structures exposed to ground motions in Iran, capturing both structural and earthquake features. This study demonstrates the significant impact of structural and seismic parameters on the seismic damage spectrum, highlighting that an increase in the resistance reduction factor correlates with a rise in damage spectrum across structures of varying vibration periods. …”
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Prediction of Gait Neurodegenerative Diseases by Variational Mode Decomposition Using Machine Learning Algorithms by P. Visvanathan, P.M. Durai Raj Vincent

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Effective Gait Abnormality Detection in Parkinson&#x2019;s Patients for Multi-Sensors Surveillance System by Abdulwahab Alazeb, Mouazma Batool, Naif Al Mudawi, Mohammed S. Alshehri, Sultan Almakdi, Nouf Abdullah Almujally, Asaad Algarni

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基于UG的直齿锥齿轮二次开发及误差分析 by 陈立新, 茅兴飞

“…The influence of the differences of the conical involutes and the spherical involutes on the accuracy error of the model of bevel gear is analyzed.The Accuracy of involutes determine that of the gear tooth profile,so the establishment of ideal involutes can ensure the tooth accuracy.In the secondary development environment of UG/NX Grip,using the spherical involute equation and the structural features of the straight tooth bevel gear,a secondary development program of the gear is completed and run successful,By changing the gear basic parameters of the gears though the program of human-computer interaction,the 3D model of the ideal bevel gear can be achieved.…”
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Isogeometric analysis of the lithosphere under topographic loading: Igalith v1.0.0 by R. Rosandi, Y. Rosandi, B. Simeon

“…For Europe, the computed lithospheric depression is compared with available Mohorovičić depth data. …”
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Modeling and Analysis of Integrated Pest Control Strategies via Impulsive Differential Equations by Joseph Páez Chávez, Dirk Jungmann, Stefan Siegmund

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Determining large hyperfine interactions of a model flavoprotein in the semiquinone state using pulse EPR (electron paramagnetic resonance) techniques by J. I. Martínez, J. I. Martínez, S. Frago, M. Medina, I. García-Rubio, I. García-Rubio

“…<p>Flavoproteins are a versatile class of proteins involved in numerous biological processes, including redox reactions, electron transfer, and signal transduction, often relying on their ability to stabilize different oxidation states of their flavin cofactor. A critical feature of flavin cofactors is their capacity to achieve, within particular protein environments, a semiquinone state that plays a pivotal role in mediating single-electron transfer events and that is key to understanding flavoprotein reactivity.…”
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Thematic Content Analysis of Studies Using Generalizability Theory by Gülşen Taşdelen Teker, Neşe Güler

“…While a small subset of studies features mixed design, a largegroup features crossed design, with individuals as the object of measurement.The computer program most commonly used in analyses is EduG. …”
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Imaging‐Based Prediction of Ki‐67 Expression in Hepatocellular Carcinoma: A Retrospective Study by Chiyu Cai, Liancai Wang, Lianyuan Tao, Hengli Zhu, Yongnian Ren, Deyu Li, Dongxiao Li

“…Patients were categorized into high (> 20%) and low (≤ 20%) Ki‐67 expression groups based on cellular proliferation levels. Radiomic features were extracted from enhanced CT scans and combined with clinical parameters to develop a predictive model for Ki‐67 expression. …”
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Letter and Person Recognition in Freeform Air-Writing Using Machine Learning Algorithms by Huseyin Kunt, Zeki Yetgin, Furkan Gozukara, Turgay Celik

“…Air-writing is an emerging form of human-computer interaction that enables text entry through hand movements in the air. …”
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A method of identification and localization of tea buds based on lightweight improved YOLOV5 by Yuanhong Wang, Yuanhong Wang, Jinzhu Lu, Jinzhu Lu, Qi Wang, Qi Wang, Zongmei Gao

“…The Fuding white tea bud image dataset was established by collecting Fuding white tea images; then the lightweight network ShuffleNetV2 was used to replace the YOLOV5 backbone network; the up-sampling algorithm of YOLOV5 was optimized by using CARAFE modular structure, which increases the sensory field of the network while maintaining the lightweight; then BiFPN was used to achieve more efficient multi-scale feature fusion; and the introduction of the parameter-free attention SimAm to enhance the feature extraction ability of the model while not adding extra computation. …”
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Construction of Holographic Immersion Chamber Based on Multisource Information Fusion and Interactive Virtual Reality Technology by Chunying Wang, Yin Liu

“…It can be seen that the error of CCD image registration parameters calculated by this algorithm is smaller. …”
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