Prediction of Provincial Energy Consumption Intensity and Estimation of Carbon Emission Reduction Potential Based on PSO-GWO by Fugui DONG, Meijuan XIA, Wanying LI

“…An energy intensity learning curve was constructed, which contains such three factors as economy, technology input and scale effect, and the grey wolf algorithm was used to improve the particle swarm optimization algorithm to optimize the fitting curves. …”
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Hybrid Prairie Dog and Dwarf Mongoose optimization algorithm-based application placement and resource scheduling technique for fog computing environment by R. Baskar, E. Mohanraj, M. Saradha, R. Monika

“…It employed Prairie Dog Optimization Algorithm (PDOA) for exploring the possibility that helps in mapping the IoT services to the available computing services in fog computing scenario. …”
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Predictors of Length-of-Stay Among Transcatheter Aortic Valve Replacement Patients Using a Supervised Machine Learning Algorithm by Gregory L. Judson, MD, Jeff Luck, PhD, Skye Lawrence, BA, Rakan Khaki, MPH, Harsh Agrawal, MD, Krishan Soni, MD, Kirsten Tolstrup, MD, Vijayadithyan Jaganathan, MD, Vaikom S. Mahadevan, MD

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Discrete Dynamic Modeling Analysis of Engineering Management and Quality Optimization Innovation Mode Based on Big Data Intelligent Algorithm by Xiaowen Zhuang, Chuanbao Wu

“…Based on the above situation, this paper puts forward the research on discrete dynamic modeling of engineering management and optimization innovation mode based on big data intelligent algorithm. It mainly uses big data technology to collect and classify the obtained data information and uses discrete dynamic modeling technology to optimize the management system, focus on the management and innovation of green engineering, use big data dynamic modeling technology to build engineering management model, and improve the balance of project model through intelligent planning algorithm. …”
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Wireless Sensor Network Cluster Head Selection and Short Routing Using Energy Efficient ElectroStatic Discharge Algorithm by G. C. Jagan, P. Jesu Jayarin

“…Cluster head selection plays a crucial stage in a WSN architecture which mainly focuses on the minimization of network energy consumption. …”
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Site Selection Optimization Strategy for Independent Secondary Device Integrated Center Based on Improved Artificial Bee Colony Algorithm by Xiaoping XIONG, Shaolei HAO, Di SUN, Guangyang LIN, Hang LI

“…For this reason, an optimal site selection model is built for the ISDIC by combining the conventional substation site selection schemes and the specific center requirements, which mainly considers such three factors as information delay, resident influence and load distribution. …”
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Early warning strategies for corporate operational risk: A study by an improved random forest algorithm using FCM clustering. by Xini Fang

“…Finally, an improved RF model is constructed by optimizing the parameters of the RF algorithm. The data selected is mainly from RESSET/DB, covering the issuance, trading, and rating data of fixed-income products such as bonds, government bonds, and corporate bonds, and provides basic information, net value, position, and performance data of funds. …”
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Investigating Injury Outcomes of Horse-and-Buggy Crashes in Rural Michigan by Mining Crash Reports Using NLP and CNN Algorithms by Baraah Qawasmeh, Jun-Seok Oh, Valerian Kwigizile

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A surrogate-assisted differential evolution algorithm with a dual-space-driven selection strategy for expensive optimization problems by Hanqing Liu, Zhigang Ren, Chenlong He, Wenhao Du

“…Abstract Surrogate-assisted evolutionary algorithms (SAEAs) have shown great potential to solve computationally expensive optimization problems (EOPs). …”
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Leader selection based Multi-Objective Flow Direction Algorithm (MOFDA): A novel approach for engineering design problems by Nima Khodadadi, Mohammad Ehteram, Hojat Karami, Mohammad H. Nadimi-Shahraki, Laith Abualigah, Seyedali Mirjalili

“…Addressing complex real-world issues with conflicting objectives is a significant challenge in optimization. Practical algorithms must balance these objectives, mainly when decision-maker preferences are unclear. …”
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Hyperspectral estimation of soil organic carbon content in the west lakeside oasis of Bosten Lake based on successive projection algorithm by NIU Fangpeng, LI Xinguo, MAMATTURSUN•Eziz, ZHAO Hui

“…After the bands were preprocessed by Savitzky-Golay-standard normal variate-first derivative (SG-SNV-1st Der), the number of bands that passed the extremely significant test (P＜0.01) were 414, mainly concentrated in 487-575, 725-998 and 1 464-1 514 nm. …”
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Identification of biomarkers in Alzheimer's disease and COVID-19 by bioinformatics combining single-cell data analysis and machine learning algorithms. by Juntu Li, Linfeng Tao, Yanyou Zhou, Yue Zhu, Chao Li, Yiyuan Pan, Ping Yao, Xuefeng Qian, Jun Liu

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Reliability analysis and pre-sizing of a switched-inductor-capacitor-based quadratic boost converter using genetic algorithm by Divya Navamani J, Lavanya A, Pradeep Vishnuram, Mohit Bajaj, Vojtech Blazek

“…To achieve the optimum switching frequency of the topology, a Genetic Algorithm (GA) is employed. To highlight the superiority of the proposed topology, it is compared with a switched inductor-based converter, and the results are presented. …”
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Investigation of multimorbidity patterns and association rules in patients with type 2 diabetes mellitus using association rules mining algorithm by Lianhua Liu, Xiaodan Wang, Mei Gui, Feng Ju, Li Cao, Bo Bi

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PO77 | The clinical awareness of mixing test interpretation in the era of complex reporting algorithm: do we forget the origins?

“… Background and Aims: Plasma mixing test is a simple laboratory procedure, which is performed on samples from patients with coagulation screening tests prolonged (mainly the activated partial thromboplastin (APTT), but also the prothrombin time (PT) or both). …”
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Large Language Model Approach for Zero-Shot Information Extraction and Clustering of Japanese Radiology Reports: Algorithm Development and Validation by Yosuke Yamagishi, Yuta Nakamura, Shouhei Hanaoka, Osamu Abe

“…ObjectiveThis study aimed to develop and evaluate an algorithm that uses large language models (LLMs) to extract information from Japanese lung cancer radiology reports and perform clustering analysis. …”
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Modification of preoperative preparation as a guarantee of improvement of perioperative treatment in elderly and senile patients by M. B. Danylyuk, S. M. Zavgorodniy, A. I. Rylov, M. A. Кubrak, N. O. Yareshko, A. V. Bachurin

“…Into the control group 89 (58.2 %) patients were included, who were treated in accordance to the standards and clinical protocols, while into the main one - 64 (41.8%) patients, in whom preoperative preparation was modified in accordance to algorithm. …”
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Hazard forecasting techniques implementation in crane safety instruments using a crane anemometer by V. A. Roshchin, S. D. Ivanov, A. N. Nazarov

“…The main part. The main influencing parameters and their measurement intervals are defined for the construction of the anemometer algorithm. …”
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Marine-Derived Peptides from <i>Phaeodactylum tricornutum</i> as Potential SARS-CoV-2 Mpro Inhibitors: An <i>In Silico</i> Approach by David Mauricio Cañedo-Figueroa, Marco Antonio Valdez-Flores, Claudia Desireé Norzagaray-Valenzuela, Loranda Calderón-Zamora, Ángel Radamés Rábago-Monzón, Josué Camberos-Barraza, Alma Marlene Guadrón-Llanos, Alberto Kousuke De la Herrán-Arita, Verónica Judith Picos-Cárdenas, Alejandro Camacho-Zamora, Alejandra Romero-Utrilla, Carlos Daniel Cordero-Rivera, Rosa María del Ángel, Moisés León-Juárez, José Manuel Reyes-Ruiz, Carlos Noe Farfan-Morales, Luis Adrián De Jesús-González, Juan Fidel Osuna-Ramos

“…In this study, peptides of 10–30 kDa derived from the marine diatom <i>Phaeodactylum tricornutum</i> were identified as potential inhibitors of SARS-CoV-2 main protease (Mpro), a key enzyme in viral replication. …”
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STEGO TRANSFORMATION OF SPATIAL DOMAIN OF COVER IMAGE ROBUST AGAINST ATTACKS ON EMBEDDED MESSAGE by Kobozeva A., Lebedeva O., Kostyrka O.

“…One of the main requirements to steganografic algorithm to be developed is robustness against disturbing influences, that is, to attacks against the embedded message. …”
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