Research progress and prospects of grating linear displacement measurement technology by ZHAO Zhicai, YU Hai, WAN Qiuhua, ZHAO Changhai, LI Yongjie

“…It reviews the research progress in these three areas and summarizes the strengths and limitations of existing studies: the grating linear displacement measurement technology based on Moire fringes is constrained by the diffraction limit, which hinders further improvements in resolution; the technology based on diffraction gratings struggles with absolute position measurement; and the technology based on image processing algorithms suffers from low integration and limited measurement range. …”
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Enhancing Triage Systems in Emergency Units: An Extensive Review by Dipankar Maiti, Tincy Mariam Easow, Jyothi R

“…In contemporary emergency units triage systems operate on standardized protocols and algorithms aimed at rapidly assessing patients upon their arrival and assigning them to priority categories based on the severity of their condition. …”
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Integrative analysis of multi-omics data identified PLG as key gene related to Anoikis resistance and immune phenotypes in hepatocellular carcinoma by Xueyan Wang, Lei Gao, Haiyuan Li, Yanling Ma, Bofang Wang, Baohong Gu, Xuemei Li, Lin Xiang, Yuping Bai, Chenhui Ma, Hao Chen

“…This study provides novel insights into the molecular subtypes of HCC through the application of robust clustering algorithms based on multi-omics data. The constructed CMLS serves as a valuable tool for early prognostic prediction and for screening potential drug candidates that may enhance the efficacy of immunotherapy, thereby establishing a foundation for personalized treatment strategies in HCC. …”
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Hybrid geometry optimization to mitigate maximum temperature gradient in solid oxide fuel cells without lowering the net output performance by Hongkun Li, Tongyu Dai, Tiantian Hu, Weiqun Liu, Qiao Zhu, Dawei Dong

“…On the basis of the optimal perturbed fluid structure, the optimal anode diffusion layer thickness, cathode diffusion layer thickness and electrolyte layer thickness are identified based on particle swarm optimization (PSO) algorithm, which are 621.82 μm, 80 μm and 15.61 μm, respectively. …”
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Point-to-Interval Prediction Method for Key Soil Property Contents Utilizing Multi-Source Spectral Data by Shuyan Liu, Dongyan Huang, Lili Fu, Shengxian Wu, Yanlei Xu, Yibing Chen, Qinglai Zhao

“…Key soil properties play pivotal roles in shaping crop growth and yield outcomes. …”
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HOW IS ARTIFICIAL INTELLIGENCE CHANGING HR? ADAPTIVE MANAGEMENT FOR THE NEW ENVIRONMENT by Dmytro Antoniuk, Bjoern Sven Ivens, Olexandr Kolyada

“…Special attention is paid to ethical issues such as algorithmic bias and transparency, as well as organisational barriers that may prevent the implementation of AI. …”
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Microwave Sensors and Their Applications in Permittivity Measurement by Changjun Liu, Chongwei Liao, Yujie Peng, Weixin Zhang, Bo Wu, Peixiang Yang

“…With the alternation of metamaterials, microfluidics technologies, cross-technology, algorithms, and so on, sensors play an exceptionally prominent role in practical and low-cost applications.…”
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A review of deep learning in blink detection by Jianbin Xiong, Weikun Dai, Qi Wang, Xiangjun Dong, Baoyu Ye, Jianxiang Yang

“…By overcoming the challenges identified in this study, the application prospects of deep learning-based blink detection algorithms will be significantly enhanced.…”
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Moving Vehicles Detection and Tracking on Highways and Transportation System for Smart Cities by Manoj Kumar, Susmita Ray, Dileep Kumar Yadav

“…These algorithms are efficient and very less time consuming. …”
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Advancing the accuracy of tyrosinase inhibitory peptides prediction via a multiview feature fusion strategy by Watshara Shoombuatong, Nalini Schaduangrat, Nutta Homdee, Saeed Ahmed, Pramote Chumnanpuen

“…Secondly, we applied a multi-view feature fusion (MVFF) strategy to extract and explore probability and category information embedded in TIPs, employing several machine learning (ML) algorithms coupled with different commonly used sequence-based feature encodings. …”
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Application of Machine Learning Technologies for Managing Multifactor Threats in an Integrated Model of Cognitive Security Center at Defense Industry Enterprise by Pavel Panilov, Tatiana Tsibizova

“…A crucial component of the model is the role of the notification system, playing a key role in operational communication with security personnel and responsible structures upon threat detection. …”
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Pre-ablation and Post-ablation Factors Influencing the Prognosis of Patients with Electrical Storm Treated by Radiofrequency Catheter Ablation: An Update by Cosmin Cojocaru, Maria Dorobanțu, Radu Vătășescu

“…This review synthesizes existing evidence concerning ES outcome predictors of patients undergoing ablation and introduces the role of novel scoring algorithms to refine risk stratification. …”
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MicroRNA-dependent mechanisms of taxane resistance in breast cancer by V. S. Apollonova, E. I. Sidina, E. V. Tkachenko, A. V. Malek

“…However, currently used algorithms of taxan-based regimens application do not always provide with desire effect. …”
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AI and Custom Marketing for Cultural Initiatives in Regional Projects: Perspectives on the Territorial Integration of Communities with Tourism by Mariflora Caruso, Laura Leopardi, Saverio Giulio Malatesta

“…In the domain of cultural heritage, AI is instrumental in crafting bespoke experiences, such as the “Hermes—a trip as you like it” project. By utilizing AI algorithms, this initiative tailors customized itineraries for visitors based on data analysis and user input. …”
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Identification of the intestinal type gastric adenocarcinoma transcriptomic markers using bioinformatic and gene expression analysis by V. V. Volkomorov, E. S. Grigor’eva, G. S. Krasnov, N. V. Litvyakov, N. A. Lisitsyn, M. I. Voevoda, A. V. Belkovets, S. G. Afanas’ev, N. V. Cherdyntseva

“…The findings show the importance of further investigation to clarify the clinical value of their expression level in stomach tumors as well as their role in carcinogenesis.…”
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Heat transfer in magneto-hybrid nanofluids with viscous and joule dissipation: a successive over relaxation analysis by Kamel Guedri, Aftab Ahmed Faridi, Shakeela Iqbal, Kashif Ali, Wasim Jamshed, Bandar M. Fadhl, Syed M. Hussain

“…Nusselt number has influentially enhanced by appending hybrid nano-constituents (Ag-TiO2) into the base liquid water-ethylene glycol mixture (C2H6O2–H2O). …”
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AN OVERVIEW OF THE MAIN WAYS TO IMPROVE THE ADS-B SYSTEM SECURITY by V. V. Kosianchuk, N. I. Selvesiuk, R. R. Khammatov

“…The methods of the second group are based on various algorithms for data verification from the ADS-B system with some additional data obtained through other channels or other sources. …”
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Utilizing MV-FLOW™ and multidimensional ultrasound characteristics for prognosticating FET outcomes in RIF patients: Study Protocol for a cross-sectional study. by Ying Zhou, Li-Ying Liu, Hua-Ju Yang, Yuan-Yuan Lai, Di Gan, Jie Yang

“…We collected basic clinical data and multimodal ultrasound data from these patients as predictive features, with clinical pregnancy as the predictive label, for model training. Based on the above, this study aims to establish and validate a clinical prediction model for FET outcomes using support vector classification (SVC) algorithms, based on MV-FLOW™ and multidimensional transvaginal ultrasound imaging features. …”
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Electrical Grounding Fault Prediction of EMU Traction Motor by Xuemiao PANG, Chunxing PEI, Chunguang YAN, Dongxing WANG, Jie JIANG

“…The traction motor plays a key role in the EMU train’s power transmission system. …”
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AI in enhancing cultural sensitivity by Dwi Mariyono, Mufidul Abror

“…This study investigates the role of Artificial Intelligence (AI) in promoting multicultural sensitivity and inclusivity in education. …”
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