Research on Control Strategy Technology of Upper Limb Exoskeleton Robots: Review by Libing Song, Chen Ju, Hengrui Cui, Yonggang Qu, Xin Xu, Changbing Chen

“…The integration of many advanced artificial intelligence algorithms into intelligent control systems remains restricted. …”
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Insights from using a Wearable Air Quality Sensor with Solar Energy Harvesting Features by Baguio Angelo Jay, Reyes Ronaldo, De Guzman Jaybie, Rosales Marc, Hizon John Richard

“…To address the limitation of battery life in wearable devices, the system incorporates a battery-aware algorithm and solar energy harvesting, extending operational runtime. …”
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Agreement between patients' and radiation oncologists' cancer diagnosis and prognosis perceptions: A cross sectional study in Japan. by Lisa Jane Mackenzie, Mariko Leanne Carey, Eiji Suzuki, Robert William Sanson-Fisher, Hiromi Asada, Masakazu Ogura, Catherine D'Este, Michio Yoshimura, Masakazu Toi

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Causes of death in patients with Berardinelli-Seip congenital generalized lipodystrophy. by Josivan Gomes Lima, Lucia Helena C Nobrega, Natalia Nobrega Lima, Marcel Catão Ferreira Dos Santos, Pedro Henrique Dantas Silva, Maria de Fatima P Baracho, Debora Nobrega Lima, Julliane Tamara Araújo de Melo Campos, Leonardo Capistrano Ferreira, Francisco Paulo Freire Neto, Carolina de O Mendes-Aguiar, Selma Maria B Jeronimo

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Development and validation of a pathological model predicting the efficacy of neoadjuvant therapy for breast cancer based on RCB scoring by Huan Li, Xianli Ju, Chuanfei Zeng, Zhengzhuo Chen, LinXin Yu, Ge Ke, Ziyin Huang, Youping Wang, Jingping Yuan, Mingkai Chen

“…Introduction Breast cancer has become the most prevalent malignant tumor among women globally, posing a serious threat to women’s life and health. Neoadjuvant therapy (NAT) has emerged as one of the standard treatment approaches for breast cancer patients. …”
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Teknologi Irigasi Cerdas pada Sistem Irigasi Drip dengan Algoritma Ant Colony Optimization by Abdul Haris, Nabilla Anggraini, Hengki Sikumbang

“…This algorithm can work dynamically and adaptively, so it is able to adjust to the land conditions and can be monitored in real time.  …”
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Low-Fidelity, In Situ, Accessible Pediatric Mass Casualty Incident Simulation to Evaluate and Improve Pediatric Readiness by Sydney E. Jeffs, Cathlyn K. Medina, Parker Frankiewicz, Steven W. Thornton, Elizabeth Horne, Smith Ngeve, Tara Thomason, Delaney Anani-Wolf, Catherine B. Beckhorn, Delaney James, Rachel Hobbs, Remi Hueckel, Corrie E. Chumpitazi, Erin R. Hanlin, Rachel O'Brian, Elisabeth T. Tracy, Emily Greenwald

“…To address the need for deployable, low-fidelity pediatric MCI simulations, we developed and evaluated a cost-conscious model to teach the principles of JumpSTART, the pediatric variation of the Simple Triage and Rapid Treatment (START) algorithm. Methods In this low-fidelity pediatric MCI simulation, pediatric trauma patients were represented by 2D, life-sized drawings including all pertinent information for triage using JumpSTART. …”
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Back Propagation Neural Network model for analysis of hyperspectral images to predict apple firmness by Shuiping Li, Yueyue Chen, Xiaobo Zhang, Junbo Wang, Xuanxiang Gao, Yunhong Jiang, Zhaojun Ban, Cunkun Chen

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Control Neuronal en Línea para Regulación y Seguimiento de Trayectorias de Posición para un Quadrotor by Hugo Yañez-Badillo, Ruben Tapia-Olvera, Omar Aguilar-Mejía, Francisco Beltran-Carbajal

“…Abstract: Automatic control systems every day become more important in everyday life; therefore, it must find new and better ways to incorporate mathematical models and adaptive control algorithms to cope with a number of technical and physical challenges for exploitation. …”
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Exploring the Realization of Creative Dimensions within the Metaverse: The Case of Tabriz Metropolis by Saied Jaffari namvar, Hossein Nazmfar, Ibrahim Taghav

“…This technological innovation significantly impacts various aspects of life, including philosophy, culture, society, and economic governance, as it integrates into the framework of the creative city. …”
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Laser-induced Breakdown Spectroscopy Based on Pre-classification Strategy for Quantitative Analysis of Rock Samples by Weiheng KONG, Lingwei ZENG, Yu RAO, Sha CHEN, Xu WANG, Yanting YANG, Yixiang DUAN, Qingwen FAN

“…The samples were divided into two major categories of felsic rocks and mafic rocks using the kNN algorithm, and then six categories were formed by the SVM algorithm. …”
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Adopting Land Cover Standards for Sustainable Development in Ghana: Challenges and Opportunities by Elisha Njomaba, Fatima Mushtaq, Raymond Kwame Nagbija, Silas Yakalim, Ben Emunah Aikins, Peter Surovy

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Improving agricultural commodity allocation and market regulation: a novel hybrid model based on dual decomposition and enhanced BiLSTM for price prediction by Lihua Zhang, Fushun Wang, Fushun Wang, Kejian Wang, Kejian Wang, Zhenxue He, Zhenxue He, Chen Chen, Chen Chen, Jiahao Liu, Jiahao Liu, Chao Wang, Chao Wang, Zhe Wang

“…As an essential part of daily life, the drastic fluctuations in agricultural commodity prices significantly impact producers’ motivation and consumers’ quality of life, further exacerbating market uncertainty and unsustainability. …”
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Scrutinizing the applicability of blockchain in the sustainability of supply chains using an intelligent fuzzy multi criteria decision making by Xinyao Li, Manfeng Liu

“…The proposed methodologies also apply in real-life Sanrio’s where decision-making is involved. …”
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Epidemiological and spatiotemporal analysis of elderly HIV-1/AIDS patients in Ningxia, China, from 2018 to 2023 by Zhonglan Wu, Yichang Liu, Xiaofa Ma, Yufeng Li, Xiaohong Zhu, Dongzhi Yang, Jianxin Pei, Yong Li

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Development and Validation of a Machine Learning Model for Predicting Long-Term Depression Risk in ACS Patients After PCI: A Retrospective Cohort Study by Lv H, Sun F, Zhang Y, Zhou X

“…Feature selection was conducted using the Boruta algorithm, and restricted cubic spline (RCS) analysis was applied to assess non-linear associations. …”
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Seasonal habitat suitability and distribution patterns of Mediterranean fin whales by E. Papale, A. Arcangeli, A. Azzellino, M. Bellingeri, G. Bergamini, G. Buscaino, G. Calogero, A. Cañadas, L. David, R. De Stephanis, N. Di-Méglio, C. Lanfredi, C. Giacoma, G. Gnone, B. Mussi, D.S. Pace, L. Pintore, L. Pireddu, J.M. Salazar-Sierra, P. Tepsich, B. Violi, A. Giovannini

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Development of a risk prediction model for sepsis-related delirium based on multiple machine learning approaches and an online calculator. by Lang Gao, Guang Dong Wang, Xing Yi Yang, Shi Jun Tong, Xu Jie Wang, Yun Ruo Chen, Jin Ying Bai, Ya Xin Zhang

“…Feature selection was conducted using Multivariate Logistic Regression, LASSO regression, and the Boruta algorithm. We developed predictive models using eight machine learning algorithms and selected the best one for validation. …”
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Orbitrap noise structure and method for noise unbiased multivariate analysis by Michael R. Keenan, Gustavo F. Trindade, Alexander Pirkl, Clare L. Newell, Yuhong Jin, Konstantin Aizikov, Andreas Dannhorn, Junting Zhang, Lidija Matjačić, Henrik Arlinghaus, Anya Eyres, Rasmus Havelund, Richard J. A. Goodwin, Zoltan Takats, Josephine Bunch, Alex P. Gould, Alexander Makarov, Ian S. Gilmore

“…Abstract Orbitrap mass spectrometry is widely used in the life-sciences. However, like all mass spectrometers, non-uniform (heteroscedastic) noise introduces bias in multivariate analysis complicating data interpretation. …”
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Predictors of return-to-work after thyroid cancer surgery based on random forest model: a cross-sectional study by Xiaoxia Tang, Xiaolin Yi, Huina Mao, Mei Wang, Rui Chen, Aoxue Zhu

“…If patients cannot return to work successfully, it may affect their social recovery and quality of life. This study used the random forest algorithm to identify the predictors of RTW after TC surgery. …”
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