Expression characteristics and functional identification of PpD2 gene in peach (Prunus persica) by XIE Hefang, ZHANG Yajia, ZHANG Junjie, LIAN Xiaodong, ZHANG Haipeng, CHENG Jun, WANG Wei, HOU Nan, WANG Lei, ZHENG Xianbo, FENG Jiancan, WANG Xiaobei, TAN Bin

“…We photographed the transgenic and wild-type (WT) Arabidopsis plants and measured their branch angles using the SC-K1 in situ living plant branch angle automatic measuring instrument system. Data were analyzed using ANOVA in SPSS. …”
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Trading Community Analysis of Countries’ Roll-On/Roll-Off Shipping Networks Using Fine-Grained Vessel Trajectory Data by Shichen Huang, Tengda Sun, Jing Shi, Piqiang Gong, Xue Yang, Jun Zheng, Huanshuai Zhuang, Qi Ouyang

“…We construct a method based on the complex network theory and the graph feature extraction method to quantitatively assess the features of the RO/RO shipping network. …”
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Algorithm Comparison and Evaluation of GAN Models Based on Image Transferring from Desert to Green Field by Zhenyu Liu, Hongjun Li

“…In order to improve the rendering efficiency of image style transformation and increase the variety of renderings, we can build an algorithm for automatically generating style images based on machine learning. …”
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FlyLimbTracker: An active contour based approach for leg segment tracking in unmarked, freely behaving Drosophila. by Virginie Uhlmann, Pavan Ramdya, Ricard Delgado-Gonzalo, Richard Benton, Michael Unser

“…Here we describe a method that uses active contours to semi-automatically track body and leg segments from video image sequences of unmarked, freely behaving D. melanogaster. …”
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Computing mutual similarity of 3D human faces in nearly linear time. by Radek Ošlejšek, Petra Urbanová, Jiří Sochor

“…Using three-dimensional scans of human faces has become an emerging technique in studies of human variation, where the quantitative assessment of facial similarity complements the measurement of other somatic traits. …”
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AI model for predicting asthma prognosis in children by Elham Sagheb, MS, Chung-Il Wi, MD, Katherine S. King, MS, Bhavani Singh Agnikula Kshatriya, MS, Euijung Ryu, PhD, Hongfang Liu, PhD, Miguel A. Park, MD, Hee Yun Seol, MD, Shauna M. Overgaard, PhD, Deepak K. Sharma, PhD, Young J. Juhn, MD, Sunghwan Sohn, PhD

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Automated Analysis of Fluorescence Microscopy Images to Identify Protein-Protein Interactions by S. Venkatraman, M. J. Doktycz, H. Qi, J. L. Morrell-Falvey

“…These features are used to relay quantitative values that aid in the automated scoring of positive interactions. …”
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Mahakala: A Python-based Modular Ray-tracing and Radiative Transfer Algorithm for Curved Spacetimes by Aniket Sharma, Lia Medeiros, George N. Wong, Chi-kwan Chan, Goni Halevi, Patrick D. Mullen, James M. Stone

“…The modular nature of Mahakala allows us to quantitatively explore how different regions of the flow influence different image features. …”
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Object Segmentation and Ground Truth in 3D Embryonic Imaging. by Bhavna Rajasekaran, Koichiro Uriu, Guillaume Valentin, Jean-Yves Tinevez, Andrew C Oates

“…Step two is a quantitative validation using synthetic images to ascertain the efficiency of the algorithm with respect to signal-to-noise ratio and object density. …”
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Attitudes of professional translators and translation students towards order management and translator platforms by Barbara Heinisch, Katia Iacono

“…They appreciate the automatically generated quotations and invoices as well as client acquisition.…”
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Model-based approach for measurement of basic soil nutrient by Georgieva Tsvetelina, Penchev Stanislav, Paskova Nadezhda, Nedelcheva Eleonora, Daskalov Plamen

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APPLICABILITY OF SIMILARITY CONDITIONS TO ANALOGUE MODELLING OF TECTONIC STRUCTURES by Mikhail A. Goncharov

“…Gzovsky can be regarded as an «idealist» as he believed that similarity conditions should be mandatorily applied to ensure correctness of physical modeling of tectonic deformations and structures [Gzovsky, 1975, pp. 88 and 94].Objectives of the present publication are (1) to be another reminder about desirability of compliance with similarity conditions in experimental tectonics; (2) to point out difficulties in ensuring such compliance; (3) to give examples which bring out the fact that similarity conditions are often met per se, i.e. automatically observed; (4) to show that modeling can be simplified in some cases without compromising quantitative estimations of parameters of structure formation.(1) Physical modelling of tectonic deformations and structures should be conducted, if possible, in compliance with conditions of geometric and physical similarity between experimental models and corresponding natural objects. …”
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Sull’utilità e i problemi di un’edizione lemmatizzata. Un caso esempio offerto da Roman de Horn, King Horn e Horn Childe and Maiden Rimnild by Pierandrea Gottardi

“…The creation of this control group required a distinct, automatized protocol of lemmatization, which resulted in a specific kind of digital output. …”
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Combination of the Level-Set Methods with the Contourlet Transform for the Segmentation of the IVUS Images by Hassen Lazrag, Med Saber Naceur

“…The detection of lumen and media-adventitia boundaries in IVUS images constitutes an essential step towards the reliable quantitative diagnosis of atherosclerosis. In this paper, a novel scheme is proposed to automatically detect lumen and media-adventitia borders. …”
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Preliminary application of a cervical vertebra segmentation method based on Transformer and diffusion model for lateral cephalometric radiographs in orthodontic clinical practice by LIU Yang, WU Mengyi, HU Yao, QI Kun, WANG Yubin, ZHAO Yue, SONG Jinlin

“…The segmentation performance was quantitatively evaluated by two metrics, Dice Similarity Coefficient (DSC) and Intersection over Union (IoU), and also qualitatively assessed through physicians' manual annotations and model visualization results.Results·The cervical vertebra segmentation method based on Transformer and diffusion models achieved DSC and IoU scores of 93.3% and 87.5%, respectively, significantly outperforming the U-Net and SOLOv2 methods (with improvements of 3.0% and 4.1% in DSC, and 5.2% and 7.1% in loU, respectively). …”
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Inpainting for Saturation Artifacts in Optical Coherence Tomography Using Dictionary-Based Sparse Representation by Hongshan Liu, Shengting Cao, Yuye Ling, Yu Gan

“…In this paper, we automatically localize saturation artifacts and propose an artifact correction method via inpainting. …”
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Novel algorithm for multifocus image fusion: integration of convolutional neural network and partial differential equation by Gargi J Trivedi, Rajesh Sanghvi

“…Furthermore, we aim to enhance our approach by incorporating machine learning techniques to optimize the parameters of the image fusion algorithm. By automatically adjusting these parameters, we strive to achieve the most reliable and accurate outcomes. …”
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Adaptive information management system of dynamic monitoring of actual water content in jet fuel in technological processes of aviation fuel supply by A. A. Brailko, V. M. Samoylenko, N. A. Druzhinin, L. A. Druzhinin

“…The technical solution for the continuous determination of the quantitative water content in the jet fuel stream is proposed. …”
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Iterative decomposition of water and fat with echo asymmetry and least-squares estimation (IDEAL-IQ) for evaluation of early bone mass changes in ageing osteoporosis patients by Yonggui Yang, Fang Chen, Xiufen Wu, Xinyu Xu, Pu-Yeh Wu

“…Fat fraction (FF) and apparent transverse relaxation rate (R2∗) results were automatically calculated from IDEAL-IQ-images on the console. …”
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Comparing contract cheating papers and L2 university student papers using lexical complexity analysis: An exploratory study by Kathleen Bailey, Eniko Csomay

“…At the same time, tools such as the Lexical Complexity Analyzer provide valuable information for instructors through quantitative measures, which effectively reveal features of lexical variation that could not otherwise be obtained.…”
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