An online clustering algorithm predicting model for prostate cancer based on PHI-related variables and PI-RADS in different PSA populations by Jiyuan Hu, Qi Miao, Jiayi Ren, Hongbo Su, Xianlu Zhang, Jianbin Bi, Gejun Zhang

“…Abstract Background and aim Prostate cancer is the most common male malignancy. Current diagnostic methods using single TPSA and PHI lack specificity. …”
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Electronic control of directional properties of reconfigurable plasmonic graphene-based antenna arrays with frequency scanning in the mid-IR range by G.S. Makeeva

“…To solve the electrodynamic problem using the CST MWS 2023 program, designed for numerical modeling of high-frequency antennas and devices, the Perfect Boundary Approximation (PBA) method is used, complementing the Finite Integration Technique (FIT) method, which works in the time domain. …”

Optimization of dual-layer flow field in a water electrolyzer using a data-driven surrogate model by Lizhen Wu, Zhefei Pan, Shu Yuan, Xiaoyu Huo, Qiang Zheng, Xiaohui Yan, Liang An

“…Therefore, machine learning methods are adopted to accelerate the optimization. …”
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Generative Artificial Intelligence-Enabled Facility Layout Design Paradigm by Fuwen Hu, Chun Wang, Xuefei Wu

“…This study proposes a generative-AI-enabled facility layout design, a novel paradigm aligning with Industry 4.0, to address these challenges by integrating generative artificial intelligence (AI), semantic models, and data-driven optimization. The proposed method evolves from three historical paradigms: experience-based methods, operations research, and simulation-based engineering. …”
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Weakly Supervised Semantic Segmentation of Remote Sensing Images Using Siamese Affinity Network by Zheng Chen, Yuheng Lian, Jing Bai, Jingsen Zhang, Zhu Xiao, Biao Hou

“…Experimental results on the large-scale remote sensing datasets DRLSD and ISPRS Vaihingen demonstrate that our method achieves segmentation performance close to that of fully supervised semantic segmentation (FSSS) methods on both datasets. …”
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Automated Identification and Representation of System Requirements Based on Large Language Models and Knowledge Graphs by Lei Wang, Ming-Chao Wang, Yuan-Rong Zhang, Jian Ma, Hong-Yu Shao, Zhi-Xing Chang

“…In the product design and manufacturing process, the effective management and representation of system requirements (SRs) are crucial for ensuring product quality and consistency. However, current methods are hindered by document ambiguity, weak requirement interdependencies, and limited semantic expressiveness in model-based systems engineering. …”
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SingleRecon: Reconstructing Building 3-D Models of LoD1 From a Single Off-Nadir Remote Sensing Image by Ruizhe Shao, JiangJiang Wu, Jun Li, Shuang Peng, Hao Chen, Chun Du

“…Experimental results demonstrate that our method for reconstructing 3-D models of urban building scenes has strong visualization effects, with an average height error of 3.3 m.…”
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Simultaneous Remote Non-Invasive Blood Glucose and Lactate Measurements by Mid-Infrared Passive Spectroscopic Imaging by Ruka Kobashi, Daichi Anabuki, Hibiki Yano, Yuto Mukaihara, Akira Nishiyama, Kenji Wada, Akiko Nishimura, Ichiro Ishimaru

“…Mid-infrared passive spectroscopic imaging is a novel non-invasive and remote sensing method based on Planck’s law. It enables the acquisition of component-specific information from the human body by measuring naturally emitted thermal radiation in the mid-infrared region. …”
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Imaging and evaluation of cervicothoracic lymphatic drainage pathways in single ventricle patients with Fontan circulation using the mDixon steady state MR angiography by Monika Huhndorf, Patrick Langguth, Hatim Seoudy, Olav Jansen, Anselm Uebing, Jan Hinnerk Hansen, Inga Voges

“…The method also allows to visualize and evaluate the cervicothoracic lymphatic anatomy with high image quality. 3D mDixon steady state MR angiography is therefore particularly useful to comprehensively assess Fontan patients, a patient group prone not only to cardiac but also lymphatic failure.…”
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3D Reconstruction of the Human Colon From Capsule Endoscope Video by Pal Anders Floor, Ivar Farup, Marius Pedersen

“…The graphical model also provides a ground truth, enabling computation of geometric distortion introduced by the 3D reconstruction method. In this paper, most distortions and artifacts are first left out to determine if it is feasible to reconstruct whole sections of the human gastrointestinal system by existing methods. …”
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Efficient Fault Localization in Smart Grid Through Analysis of the Wave Matrix Image Using Convolutional Neural Networks by Jose Carlos Filho, Francisco C. M. Abreu, Mauricio Silva, Fabbio Borges, Ricardo A. L. Rabelo

“…With approximately 80% of power supply interruptions attributed to Distribution System faults, the need for effective fault localization methods is evident. By extracting voltage signal characteristics at measurement points during disturbances and transforming them into a panoramic representation of the system in the form of an image, the panoramic image generation, derived from simulated short-circuit values at each system bus, provides a comprehensive visualization of the network, enabling precise fault localization. …”
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A Deep Neural Network Framework for Dynamic Two-Handed Indian Sign Language Recognition in Hearing and Speech-Impaired Communities by Vaidhya Govindharajalu Kaliyaperumal, Paavai Anand Gopalan

“…In order to solve local optimization constraints when adjusting the position for the tuna update process, a mutation operator was introduced. The dataset visualization that demonstrates the best effectiveness compared to alternative cutting-edge methods, recognition accuracy, and convergences serves as a means to measure performance of this suggested framework.…”
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Abstract 148: Balloon‐assisted retrograde Cerebral Venography in Cerebral Venous Interventions: A novel avenue for diagnostic venous imaging by Omar Choudhri

“…We identified a method of cerebral phlebography under temporary venous balloon occlusion of jugular vein or venous sinus to obtain high resolution 2D and 3D images for diagnosis and treatment of cerebral venous pathology. …”
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Can Power Laws Help Us Understand Gene and Proteome Information? by J. A. Tenreiro Machado, António C. Costa, Maria Dulce Quelhas

“…After creating the initial relative frequency histograms, they are transformed and processed in order to generate quantitative results for information extraction and graphical visualization. Selected samples from two reference datasets are used, and results reveal that the proposed method is able to generate relevant outputs in accordance with current scientific knowledge in domains like protein sequence/proteome analysis.…”
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Localization of the production: international experience and imperatives of russia in the conditions of sanctions regime by T. N. Topoleva

“…In the research process, a complex of general scientific methods was used, including: analytical, logical, monographic, interpretation, synthesis, as well as a method of graphical visualization. …”
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RPPanalyzer Toolbox: An improved R package for analysis of reverse phase protein array data by Silvia von der Heyde, Johanna Sonntag, Daniel Kaschek, Christian Bender, Johannes Bues, Astrid Wachter, Jens Timmer, Ulrike Korf, Tim Beißbarth

“…The R package RPPanalyzer was designed for data preprocessing followed by basic statistical analyses and proteomic data visualization. In this update, we merged relevant data preprocessing steps into a single user-friendly function and included a new method for background noise correction as well as new methods for noise estimation and averaging of replicates to transform data in such a way that they can be used as input for a new time course plotting function. …”
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Comparative analysis of organic and conventional farm sustainability in peri-urban zones of Rabat, Morocco: insights and perspectives by Fatiha Hakimi, Sara Sehli, Abeer Hashem, Graciela Dolores Avila-Quezada, Elsayed Fathi Abd_Allah

“…Data analysis and visualization were carried out using statistical methods and an Excel macro. …”
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The preliminary diffusion tensor imaging study of cerebral microstructure in the acute phase of brain concussion by A. V. Manzhurtsev, O. R. Vasyukova, P. E. Menshchikov, M. V. Ublinskiy, I. A. Melnikov, T. A. Akhadov, N. A. Semenova

“…Concussion does not cause any lesions available for visualization using computed tomography and magnetic resonance imaging. …”
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Sustainable Supplier Selection through Multi-Criteria Decision Making (MCDM) Approach: A Bibliometric Analysis by Khoiron Khulud, Ilyas Masudin, Fien Zulfikarijah, Dian Palupi Restuputri, Abdul Haris

“…In the recent past, researchers have carried out a significant amount of research in this field over the course of several years; <i>Methods</i>: a total of 121 scientific publications sourced from the Scopus database were chosen for analysis, employing the bibliometric method and graphical visualization of the VOS viewer application to visually analyze and map research networks and collaboration patterns, aiding in the evaluation of scientific impact and knowledge dissemination; <i>Results</i>: the findings of this study indicate that the research trend in sustainable supplier selection through MCDM witnessed its most significant growth in the year 2019. …”
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Safety Monitoring of Expressway Construction Based on Multisource Data Fusion by Dianliang Xiao, Tiantao Zhang, Xudong Zhou, Guangshun Zheng, Haoran Song

“…The research in this paper finds that the maximum deviation between the slope displacement value and the measured value obtained by the slope monitoring based on multisource data fusion in this paper is 7.53%, which is less than 10%, which verifies the feasibility of the method in this paper. The research methods and ideas of this paper can also provide a reference for similar engineering research.…”
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