Using Deep Learning Techniques to Enhance Blood Cell Detection in Patients with Leukemia by Mahwish Ilyas, Muhammad Bilal, Nadia Malik, Hikmat Ullah Khan, Muhammad Ramzan, Anam Naz

“…This research study proposes an automatic diagnostics prediction of leukemia by analyzing blood images according to the shape of the blast cells using digital image processing and machine learning. …”
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Predictors for recurrence of chronic osteomyelitis following long bones cavity defect replacement with synthetic materials by Alexander V. Afanasyev, Svetlana A. Bozhkova, Vasily A. Artyukh

“…Aim of the study: to determine significant risk factors of infection recurrence during one- and two-stage treatment of a cavity defect with synthetic materials in patients with chronic osteomyelitis and to create an assessment scale for prediction of the treatment outcome based on this data. …”
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On-Chip Age Estimation Using Machine Learning by Turki Alnuayri, Saqib Khursheed, Daniele Rossi

“…It outperforms the state-of-the-art IC age prediction models even when learning and validating the model with aging and PV.…”
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BedEye: A Bed Exit and Bedside Fall Warning System Based on Skeleton Recognition Technology for Elderly Patients by Liang-Bi Chen, Wan-Jung Chang, Tzu-Chin Yang

“…Moreover, we develop an algorithm for determining bed posture using the posture of patients leaving the bed. …”
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An optimization-inspired intrusion detection model for software-defined networking by Hui Xu, Longtan Bai, Wei Huang

“…This paper proposes an enhanced spider wasp optimizer (ESWO) algorithm for feature dimensionality reduction of intrusion detection datasets and constructs a new intrusion detection model (IDM), namely ESWO-IDM, for SDN. …”
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Pulsatile Physiological Control of Blood Pump-Cardiovascular System Based on Feedforward Compensation by Yanjun Bao, Teng Jing, Weimin Ru, Ling Zhou

“…The designed pulsatile physiological control algorithm contains the feed-forward compensation-based pulsatile control and anti-reflux algorithm, switching the applicable algorithm based on the pump flow. …”
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Noise Impact Analysis in Computer-Generated Holography Based on Dual Metrics Evaluation via Peak Signal-to-Noise Ratio and Structural Similarity Index Measure by Yucheng Li, Yang Zhang, Deyu Jia, Song Gao, Muqun Zhang

“…Results demonstrate that increasing noise intensity induces progressive declines in reconstruction quality, manifested as PSNR reduction and SSIM-based structural fidelity loss. …”
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The Application of Lempel-Ziv Complexity in Medicine Science, Nature Science, Social Science, and Engineering: A Review and Prospect by Jiancheng Yin, Wentao Sui, Xuye Zhuang, Yunlong Sheng, Yongbo Li

“…Lempel-Ziv complexity (LZC) is an algorithm used to quantify the complexity of a data sequence by calculating the number of independent substrings contained in the sequence. …”
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Research on an Aerial Docking Strategy for Meta-UAVs Using Aerodynamic Data Surrogate Models by Kangwen Sun, Yixiang Gao, Zhiyao Wang, Haoquan Liang, Chenxuan Zhao, Xinzhe Ji

“…Optimization of the docking process, focusing on impulse and moment of impulse, is achieved using a greedy algorithm. The results show a reduction in drag impulse and rolling moment by 10.89% and 15.76%, respectively, thereby easing the burden on the control system of UAVs.…”
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AdaGram in Python: An AI Framework for Multi-Sense Embedding in Text and Scientific Formulas by Arun Josephraj Arokiaraj, Samah Ibrahim, André Then, Bashar Ibrahim, Stephan Peter

“…The Adaptive Skip-gram (AdaGram) algorithm extends traditional word embeddings by learning multiple vector representations per word, enabling the capture of contextual meanings and polysemy. …”
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Translational repression by an RNA-binding protein promotes differentiation to infective forms in Trypanosoma cruzi. by Maria Albertina Romaniuk, Alberto Carlos Frasch, Alejandro Cassola

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Oxaliplatin-induced changes in microbiota, TLR4+ cells and enhanced HMGB1 expression in the murine colon. by Vanesa Stojanovska, Rachel M McQuade, Sarah Fraser, Monica Prakash, Shakuntla Gondalia, Rhian Stavely, Enzo Palombo, Vasso Apostolopoulos, Samy Sakkal, Kulmira Nurgali

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RESULTS OF USTEKINUMAB TREATMENT IN PATIENTS WITH PSORIATIC ARTHRITIS IN THE RUSSIAN FEDERATION ACCORDING TO THE DATA OF PSUMMIT 1 AND PSUMMIT 2 by Yu. L. Korsakova, A. A. Godzenko, A. O. Pchelintseva, O. Yu. Grigoryeva, L. N. Denisov, E. L. Nasonov

“…After 16 weeks the patients showing a less than 5% reduction  in the number of tender and swollen joints were given UST 45 mg (if they belonged to the PL group) or 90 mg (if they were in the UST 45-mg group). …”
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Intelligent Monitoring of Multistory Buildings under Unknown Earthquake Excitation by a Wireless Sensor Network by Y. Lei, Y. L. Tang, J. X. Wang, Y. Q. Jiang, Y. Luo

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Optimization of Gas-Liquid Sulfonation in Cross-Shaped Microchannels for α-Olefin Sulfonate Synthesis by Yao Li, Yingxin Mu, Muxuan Qin, Wei Zhang, Wenjin Zhou

“…A high-precision empirical model (coefficient of determination, <i>R</i>² = 0.9882) to predict product content was successfully constructed. …”
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User Cost Minimization and Load Balancing for Multiple Electric Vehicle Charging Stations Based on Deep Reinforcement Learning by Yongxiang Xia, Zhongyi Cheng, Jiaqi Zhang, Xi Chen

“…In the context of global energy conservation and emission reduction, electric vehicles (EVs) are essential for low-carbon transport. …”
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Multi-Energy Optimal Dispatching of Port Microgrids Taking into Account the Uncertainty of Photovoltaic Power by Xiaoyong Wang, Xing Wei, Hanqing Zhang, Bailiang Liu, Yanmin Wang

“…Firstly, based on the improved Iterative Self-organizing Data Analysis Techniques Algorithm (ISODATA) clustering algorithm and backward reduction method, a set of typical scenarios that represent the uncertainties of PV and load is generated. …”
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Classification and spectrum optimization method of grease based on infrared spectrum by Xin Feng, Yanqiu Xia, Peiyuan Xie, Xiaohe Li

“…The Kohonen neural network algorithm was used to identify the type of the lubricating grease. …”
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Magnetization and superparamagnetic behavior of FeCu nanoalloys at room temperature via synthesis and simulation by Maryam Bahrami, Mehrangiz Bahrami, S. Jafar Hoseini, Mohammad Hadi Ghatee

“…A spin-lattice dynamics algorithm simulated iron–copper (FeCu) nanoalloys of varying sizes and compositions. …”
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BESO Topology Optimization Driven by an ABAQUS-MATLAB Cooperative Framework with Engineering Applications by Dong Sun, Xudong Yang, Hui Liu, Hai Yang

“…The Bi-directional Evolutionary Structural Optimization (BESO) method, owing to its algorithmic simplicity and strong scalability, has emerged as one of the most prevalent topology optimization methodologies in current research and industrial applications. …”
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