Intelligent prediction of thyroid cancer in China based on GBD data and hospital electronic medical records: disease burden analysis combined with multiple machine learning models by Lina Yang, Shixia Zhang, Xinguo Wang, Jianjun Yang, Mengya Chen

“…This study aims to conduct an in-depth analysis of the disease burden pattern and future trends of thyroid cancer in China, and constructed an intelligent prediction model in combination with hospital electronic medical record data. …”
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Study of influence of boron and rare-earth metals on impact elasticity by N. V. Nevar, Ju. N. Fasevich

“…There are determined the types of the modifying agents, most efficiently affecting on such feature as resistance to brittle failure of the developed alloys.…”
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Multivariate bidirectional gate recurrent unit for improving accuracy of energy prediction by Quota Alief Sias, Rahma Gantassi, Yonghoon Choi

“…The proposed main model is a multi-variate bidirectional GRU combined with a periodic feature pattern. The proposed model will also be compared with the fundamental bidirectional models of the GRU and LSTM models. …”
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Cognitive load estimation in VR flight simulator by Archana Hebbar, Sanjana Vinod, Shah, A.K., Abhay Pashilkar, Pradipta Biswas

“… This paper discusses the design and development of a low-cost virtual reality (VR) based flight simulator with cognitive load estimation feature using ocular and EEG signals.  …”
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Non- Invasive EEG-based BCI system for Left or Right Hand Movement by Mai Mabrouk

“…Second, the data acquisition system we developed is described in detail. Lastly, our BCI system, including all different techniques used for artifact removal, feature extraction, and classification is presented. …”
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Interpretable model based on MRI radiomics to predict the expression of Ki-67 in breast cancer by Li Zhang, Qinglin Du, Mengyi Shen, Xin He, Dingyi Zhang, Xiaohua Huang

“…The logistic regression classifier was used to develop the Radiomics model. The clinical imaging and radiomics features were combined to form a Combined model. …”
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RF-PSignal: The Smart Home Gesture Recognition System Based on Channel-Wise Topology and Self-Adaptive Attention by Xiaohang Zhang, Chunhong Yue, Yajun Zhang, Kun Liang, Yanxiang Li

“…Unlike most existing studies that rely on time-series signals for feature extraction and pattern recognition, the system achieves outstanding performance and computational efficiency through a time-series-to-image transformation algorithm and lightweight model design. …”
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3D mesh segmentation of historic buildings for architectural surveys by Borja Javier Herráez, Eduardo Vendrell

“…The developed method has proved to be effective for feature detection and suitable for inclusion in architectural surveying applications.…”
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From sectors to functions: producer services, metropolisation and agglomeration forces in the Ile-de-France region by Ludovic Halbert

“…The results confirm the multipolar-monocentric pattern which seems to be a common feature in many European cities. …”
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Heat syndrome types prediction of traditional Chinese medicine in acute ischemic stroke through deep learning: a pilot study by Xiongwu Yu, Xiongwu Yu, Lingqian He, Qi Wang, Zhongyun Zhang, Zhongyun Zhang, Huaiqiu Zhu, Huaiqiu Zhu, Juexian Song

“…The model with the comprehensive feature dataset achieved an accuracy of 0.95, F1 score of 0.95, and AUC of 0.91 on the test set, exhibiting better performance overall compared to predictions based solely on TCM pattern characteristics or laboratory indicators. …”
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Deep learning driven interpretable and informed decision making model for brain tumour prediction using explainable AI by Khan Muhammad Adnan, Taher M. Ghazal, Muhammad Saleem, Muhammad Sajid Farooq, Chan Yeob Yeun, Munir Ahmad, Sang-Woong Lee

“…Conventional methods rely on MRI and CT scans and employ generic machine learning techniques, which are heavily dependent on feature extraction and require human intervention. …”
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The impact of land use transition on ecosystem service value in Lixiahe area: Multi-scenario simulation based on Markov-FLUS model by CHEN Xinwei, LI Hongbo, ZHANG Wenbo, GE Xiaoping

“…The main form of land use type transformation was from cultivated land to wetland or construction land, and the active transformation areas were concentrated in the central and eastern and western boundary areas. (2) The ecosystem service value of the study area in 1990, 2005 and 2020 showed a year-on-year increasing trend, and the spatial pattern was relatively stable. Overall, it presented a distribution feature of “low on the periphery and high in the center”. (3) The Markov-FLUS model has strong applicability in the region. …”
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Flash Flood Regionalization for the Hengduan Mountains Region, China, Combining GNN and SHAP Methods by Yifan Li, Chendi Zhang, Peng Cui, Marwan Hassan, Zhongjie Duan, Suman Bhattacharyya, Shunyu Yao, Yang Zhao

“…The SHAP model was then applied to quantify the impact of all the inducing factors on the regionalization results by Dink-Net. The newly developed framework captured the spatial interactions of the inducing factors and characterized the spatial distribution patterns of the factors. …”
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FUNCTIONAL ASSESSMENT OF MASTICATORY MUSCLES IN ADAPTATION TO COMPLETE REMOVABLE PROSTHESES by S. A. Shemetov, I. M. Martynenko, R.V. Petrenko, N.A. Ryabushko

“…No complaints on the pain while chewing even enough solid food, good fixation and stabilization of prostheses, phonetics recovery suggest the establishment of a new functional level of dental system, the development of a consistent pattern of chewing. Objective electromyographic evaluation of the quality of prosthetics has confirmed the validity of subjective tests. …”
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Teknik Identifikasi Fitur Berdasarkan Kalimat Pernyataan Kebutuhan dalam Konteks Pengembangan Software Product Line by M Syauqi Haris, Tri Astoto Kurniawan

“…The pattern of writing a requirement sentence with boilerplate requirements is used as the basis for automatically identifying software features using natural language processing (NLP) tools. …”
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Handwritten Geez Digit Recognition Using Deep Learning by Mukerem Ali Nur, Mesfin Abebe, Rajesh Sharma Rajendran

“…Convolutional neural network (CNN) is preferable for pattern recognition like in handwritten document recognition by extracting a feature from different styles of writing. …”
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Brain Effective Connectivity Analysis Facilitates the Treatment Outcome Expectation of Sound Therapy in Patients With Tinnitus by Han Lv, Jinduo Liu, Qian Chen, Zuozhen Zhang, Zhaodi Wang, Shusheng Gong, Junzhong Ji, Zhenchang Wang

“…This provided critical insights into the gain theory of tinnitus development. The altered pattern of functional information orchestration, represented by a higher degree of hypervigilance-driven attention and enhanced multisensory integration, may explain poor clinical outcomes. …”
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Joint Optical Performance Monitoring and Modulation Format/Bit-Rate Identification by CNN-Based Multi-Task Learning by Xiaojie Fan, Yulai Xie, Fang Ren, Yiying Zhang, Xiaoshan Huang, Wei Chen, Tianwen Zhangsun, Jianping Wang

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Research on the spatial evolution process and reconfiguration pathway of mountainous cities based on the human-water relationship in river basins—A case study of Yichang City, Hube... by Mengjie Zhang, Wei Zhai, Ziyang Xiong, Chong Peng

“…At the same time, influenced by the significant and special event of the Three Gorges Project construction, the city has undergone rapid ''leapfrog'' development. Amid population mobility and river basin management needs, Yichang should use its ''water'' feature to integrate function, scale, and structure, focusing on water protection and utilization to ensure national and energy security. …”
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ACCENTUATION ERROR AS A PHENOMENON OF MODERN COMMUNICATION IN THE INFORMATION SPACE by Iryna A. Kolesnikova

“…Such work is necessary especially in the conditions of artificial bilingualism that has developed in modern Ukraine. Knowledge of foreign languages is a characteristic feature of the 21st century, but knowledge of the mother tongue is a natural attribute for every citizen. …”
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