LC oscillator frequency prediction using machine learning linear regression algorithm by Mandar Jatkar, Vasudeva G, Tripti R. Kulkarni, Roopa R. Kulkarni, Aneesh Pandurangi

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L’enseignement/apprentissage de la grammaire dans le collège algérien : quelle place pour la démarche inductive ? by Zouina Hocini

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The effects of deductive and inductive approaches on the acquisition of English demonstratives by Jordanian 4th grade EFL learners by Abdel Rahman Mitib Altakhaineh, Ayah Khaled Alnajjar, Ibrahim Hasan Alrababa’h, Rozan Al-Hloul

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The Potential of Unsupervised Induction of Harmonic Syntax for Jazz by Ruben Cartuyvels, John Koslovsky, Marie-Francine Moens

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Student perceived effectiveness of task-based instructional design of data-driven synonym learning featuring “mini-lecture” by Yang Yingying, Chen Lin, Tian Xumin

Subjects: “…guided inductive approach…”
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Integration of intratumoral and peritumoral CT radiomic features with machine learning algorithms for predicting induction therapy response in locally advanced non-small cell lung cancer by FangHao Cai, Zhengjun Guo, GuoYu Wang, FuPing Luo, Yang Yang, Min Lv, JiMin He, ZhiGang Xiu, Dan Tang, XiaoHui Bao, XiaoYue Zhang, ZhenZhou Yang, Zhi Chen

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MRI-based deep learning and radiomics for predicting the efficacy of PD-1 inhibitor combined with induction chemotherapy in advanced nasopharyngeal carcinoma: A prospective cohort study by Yiru Wang, Fuli Chen, Zhechen Ouyang, Siyi He, Xinling Qin, Xian Liang, Weimei Huang, Rensheng Wang, Kai Hu

“…Aim: To establish and evaluate a model for predicting the efficacy of programmed death-1 (PD-1) inhibitor combined with GP (gemcitabine and cisplatin) induction chemotherapy based on deep learning features (DLFs) and radiomic features. …”
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Prediction of induction chemotherapy efficacy in patients with locally advanced nasopharyngeal carcinoma using habitat subregions derived from multi-modal MRI radiomics by Mulan Pan, Lu Lu, Xingyu Mu, Xingyu Mu, Guanqiao Jin

“…ObjectiveThis study aims to predict the early efficacy of induction chemotherapy (ICT) in patients with locally advanced nasopharyngeal carcinoma (LA-NPC) through habitat subregion analysis and multimodal MRI radiomics techniques.MethodsThe study employed a retrospective design and included LA-NPC patients who received ICT treatment between 2015 and 2019. …”
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Wavelet kernel and convolution neural network based accurate detection of incipient stator and rotor faults of induction motor by Sudeep Samanta, Jitendra Nath Bera, Amitava Biswas

Subjects: “…Three phase induction motor…”
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Offspring school performance at age 12 after induction of labor vs non‐intervention at term: A linked cohort study by Renée J. Burger, Ben W. Mol, Wessel Ganzevoort, Sanne J. Gordijn, Eva Pajkrt, Joris A. M. Van Der Post, Christianne J. M. De Groot, Anita C. J. Ravelli

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A Novel Electromagnetic Induction-Based Approach to Identify the State of Shallow Groundwater in the Oasis Group of the Tarim Basin in Xinjiang During 2000–2022 by Fei Wang, Yang Wei, Rongrong Li, Hongjiang Hu, Xiaojing Li

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Dual-Domain Multi-Task Learning-Based Domain Adaptation for Hyperspectral Image Classification by Qiusheng Chen, Zhuoqun Fang, Shizhuo Deng, Tong Jia, Zhaokui Li, Dongyue Chen

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Validating machine learning models for the prediction of labour induction intervention using routine data: a registry-based retrospective cohort study at a tertiary hospital in northern Tanzania by Jian Wu, Soumitra S Bhuyan, Xiaoli Fu, Quanman Li, Clifford Silver Tarimo, Michael Johnson J Mahande

“…Objectives We aimed at identifying the important variables for labour induction intervention and assessing the predictive performance of machine learning algorithms.Setting We analysed the birth registry data from a referral hospital in northern Tanzania. …”
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Reciprocal immune–epithelial interaction during breast cancer induction by Michael T Lotze, Neil Carleton

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Estimating Electrical Parameters of the Induction Motor by Measuring the Components Temperatures by Masoud Abbaspour, Nader Sargolzaei, Ali Namadchian

“…In this article the electrical parameters of the induction motor are estimated by measuring temperature of its components. …”
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Exploring the complex interplay between oral Fusobacterium nucleatum infection, periodontitis, and robust microRNA induction, including multiple known oncogenic miRNAs by Syam Jeepipalli, Aravindraja C, William Duncan, V. M. Krishna, Bikash Sahay, Edward K. L. Chan, L. Kesavalu

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Edge vs. Cloud: Empirical Insights into Data-Driven Condition Monitoring by Chikumbutso Christopher Walani, Wesley Doorsamy

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The role of teacher in the development of talent by Joseph S. Renzulli

Subjects: “…Learning and giftedness…”
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Enhancing Transient Stability of DFIG-Based Wind Turbine Systems Using Deep Learning-Controlled Resistance-Based Fault Current Limiters by Yaoying Wang

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Glasgow Essentials: redeveloping induction resources to improve the students’ sense of inclusion and belonging by Stuart Purcell, Clare Brown, Lucy McCormick

“…It is therefore crucial that universities begin to foster feelings of inclusion and build a sense of belonging among students at the earliest stages of the induction process.   This presentation showcased the reevaluated and redesigned ‘Glasgow Essentials’ resource produced by the newly formed Induction and Transitions team at the University of Glasgow. …”
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