Role of fixed-dose combinations of antibiotics and steroids in ophthalmic surgery by V.P. Nikolaenko, D.F. Belov

“…</i> </p> <p> <i>The authors suggest a postoperative management algorithm after uneventful phaco involving topical administration of an FDC containing 0.5% levofloxacin and 0.1% dexametha sone QID at week 1. …”
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New insights into the ferroptosis and immune infiltration in endometriosis: a bioinformatics-based analysis by Lusha Liu, Feifei Han, Naiyi Du, Yakun Liu, Aihong Duan, Shan Kang, Bin Li

“…WGCNA identified ferroptosis-related modules, annotated by GO &amp; KEGG. MNC algorithm pinpointed hub FRGs. Cytoscape construct a ceRNA network, and ROC curves evaluated diagnostic efficacy of hub FRGs. …”
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Programmable Multiplexed Nucleic Acid Detection by Harnessing Specificity Defect of CRISPR‐Cas12a by Xin Guan, Rui Yang, Jiongyu Zhang, Jeong Moon, Chengyu Hou, Chong Guo, Lori Avery, Danielle Scarola, Daniel S. Roberts, Rocco LaSala, Changchun Liu

“…Abstract CRISPR‐Cas12a works like a sophisticated algorithm in nucleic acid detection, yet its challenge lies in sometimes failing to distinguish targets with mismatches due to its specificity limitations. …”
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SDRG-Net: Integrating multi-level color transformation encryption and ICNN-IRDO feature analysis for robust diabetic retinopathy diagnosis by Venkata Kotam Raju Poranki, B. Srinivasarao

“…Furthermore, existing DR grading methods have exhibited lower security properties due to the need for image encryption algorithms in the IoMT environment. A Secure DR Grading Network (SDRG-Net) is proposed to address these issues, integrating several advanced techniques. …”
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RiskTree: Decision trees for asset and process risk assessment quantification in big data platforms by Zhan Haomou, Yang Jiawei, Guo Zhenyang, Cao Jin, Zhang Dong, Zhao Xingwen, You Wei, Li Hui

“…Finally, we apply a random forest algorithm to compute risk index weights, risk values, and risk levels, enabling the quantification of risks on big data platforms. …”
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Observing System Impact on Ionospheric Specification Over China Using EnKF Assimilation by Jianhui He, Xinan Yue, Lianhuan Hu, Junyi Wang, Mingyuan Li, Baiqi Ning, Weixing Wan, Jiyao Xu

“…The data assimilation system is an Ensemble Kalman filter (EnKF) ionosphere and thermosphere data assimilation algorithm. The National Center for Atmospheric Research Thermosphere Ionosphere Electrodynamics General Circulation Model is used as a background model. …”
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Aerosol Measurements over India: Comparison of MAX-DOAS Measurements with Ground-based (AERONET) and Satellite-based (MODIS) Data by Prithviraj Mali, Mriganka Sekhar Biswas, Steffen Beirle, Thomas Wagner, Shrivardhan Hulswar, Swaleha Inamdar, Anoop S. Mahajan

“…We utilized a profile retrieval algorithm to estimate the vertical profiles and vertical column densities of aerosols (AOD) using MAX-DOAS measurements of the oxygen dimer (O4) at ultraviolet and visible spectral regions. …”
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Determinants and Characteristics of Insulin Dose Requirements in Children and Adolescents with New-Onset Type 1 Diabetes: Insights from the INSENODIAB Study by Maude Beckers, Olivier Polle, Paola Gallo, Noémie Bernard, Céline Bugli, Philippe A. Lysy

“…These findings have paved the way for the development of a dosing algorithm to potentially expedite glycemic control stabilization and facilitate a more individualized approach to treatment regimens.…”
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Development of a Three-Stage Hybrid Model by Utilizing a Two-Stage Signal Decomposition Methodology and Machine Learning Approach to Predict Monthly Runoff at Swat River Basin, Pak... by Muhammad Sibtain, Xianshan Li, Ghulam Nabi, Muhammad Imran Azam, Hassan Bashir

“…CEEMDAN decomposes the runoff time series into subcomponents, and VMD performs further decomposition of the high-frequency component obtained after CEEMDAN decomposition to improve the prediction activity. Afterward, the SVM algorithm was applied to the decomposed subcomponents for the prediction purpose. …”
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Protocol for the impact of machine learning-based clinician decision support algorithims in perioperative care (IMAGINATIVE) in Singapore general hospital : a large prospective ran... by Marcus Ong, Hairil Rizal Abdullah, Ecosse Lamoureux, Elaine Lum, Gek Hsiang Lim, Tan Pei Yi Brenda, Celestine Loh

“…The primary outcome is to evaluate the effectiveness of the Machine Learning Clinical Decision Support (ML-CDS) algorithm in improving perioperative mortality rates when integrated into the clinical workflow.Ethics and dissemination The study has been approved by the SingHealth Centralised Institutional Review Board (CIRB Ref: 2023:2114) and is registered on ClinicalTrials.gov (trial number: NCT05809232). …”
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A Physics-Informed Cold-Start Capability for xEV Charging Recommender System by Raik Orbay, Aditya Pratap Singh, Johannes Emilsson, Michele Becciani, Evelina Wikner, Victor Gustafson, Torbjorn Thiringer

“…Tailoring the charging experience incorporating smart algorithms introduces an exciting set of development opportunities. …”
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Personalized metronomic radiopharmaceutical therapy through injection profile optimization via physiologically based pharmacokinetic (PBPK) modeling by Aryan Golzaryan, M. Soltani, Farshad Moradi Kashkooli, Babak Saboury, Arman Rahmim

“…We designed a treatment algorithm to select optimal regimens with high AD, while investigating what we term radiopharmaceutical delivery payload (RDP). …”
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Adaptive High-Performance Optimization Tool for Real-Time Operation of Renewable-Based Virtual Power Plants by Oluwaseun Oladimeji, Alvaro Ortega, Lukas Sigrist, Bogdan Marinescu, Vinu Thomas

“…In this paper, the proposed Adaptive High-performance Optimal Real-time operation Algorithm (AHORA) addresses these challenges by executing re-dispatches every four seconds, mitigating internal and external disturbances while ensuring compliance with System Operator requirements. …”
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QUALITY EVALUATION OF THE TPP POWER GENERATING UNITS WEAR RECONDITIONING by E. M. Farhadzadeh, A. Z. Muradaliyev, Yu. Z. Farzaliyev

“…The developed method and algorithm for quality evaluation of the scheduled repair implementation contribute to practical realization of the independent monitoring. …”
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Optimization of Irrigation and Fertilization in Maize–Soybean System Based on Coupled Water–Carbon–Nitrogen Interactions by Aizheng Yang, Shuyuan Luo, Yaowen Xu, Pingan Zhang, Zhenyi Sun, Kun Hu, Mo Li

“…A multi-objective optimization model, integrating experimental data and mechanistic insights, was constructed and refined using the NSGA-III genetic algorithm to identify the optimal water and nitrogen application ratios. …”
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Combining Postural Sway Parameters and Machine Learning to Assess Biomechanical Risk Associated with Load-Lifting Activities by Giuseppe Prisco, Maria Agnese Pirozzi, Antonella Santone, Mario Cesarelli, Fabrizio Esposito, Paolo Gargiulo, Francesco Amato, Leandro Donisi

“…Eight machine learning classifiers were tested utilizing two validation strategies, with the Gradient Boost Tree algorithm achieving the highest accuracy and an Area under the ROC Curve of 91.2% and 94.5%, respectively. …”
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A data-driven intelligent fault diagnosis framework for permanent magnet in PMSM by Huizhen Wang, Lei Wang, QiYa Wu, Haoying Pei, Lijun Diao

“…In response to this challenge, a comprehensive PM health management framework is proposed, applying data-driven algorithms to monitor the state of PMs based on raw stator current data. …”
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High-precision multi-focus laser sculpting of microstructured glass by Kang Xu, Peilin Huang, Lingyu Huang, Li Yao, Zongyao Li, Jiantao Chen, Li Zhang, Shaolin Xu

“…Refractive-index-induced deviations are migrated via algorithm correction to ensure multi-focus positional accuracy. …”
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Mortality prediction of inpatients with NSTEMI in a premier hospital in China based on stacking model. by Li Wang, Yu Zhang, Feng Li, Caiyun Li, Hongzeng Xu

“…Finally, a unique double-layer stacking model is designed to improve the performance of the algorithm. Seven classical artificial intelligence methods of Logistic Regression (LR), Decision Tree (DT), Support Vector Machine (SVM), Random Forest (RF), Adaptive Boosting (ADB), Extra Tree (ET), and Gradient Boosting Decision Tree (GBDT) were selected as candidate models for the base model of the first layer of the model, and extreme gradient enhancement (XGBOOST) was selected as the meta-model for the second layer.…”
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Enabling smart parking for smart cities using Internet of Things (IoT) and machine learning by Mofadal Alymani, Lenah Abdulaziz Almoqhem, Dhuha Ahmed Alabdulwahab, Abdulrahman Abdullah Alghamdi, Hussain Alshahrani, Khalid Raza

“…In this context, our proposed system attempts to address this pressing issue, which consists of two parts: one is a camera at the parking gate that recognizes the license plate using the Automatic Number Plate Recognition (ANPR) algorithm, where the camera captures the license plate and outputs the plate number using the optical character recognition (OCR) technique. …”
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