Compensated Neural Network Training Algorithm with Minimized Training Dataset for Modeling the Switching Transients of SiC MOSFETs by Ruwen Wang, Yu Chen, Siyu Tong, Congzhi Cheng, Yong Kang

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Heterogeneous wireless sensor network routing protocol based on simulated annealing algorithm and modified grey wolf optimizer by Xiaoqiang ZHAO, Shaoya REN, Yongzhi ZHAI, Heng QUAN, Ting YANG

“…It’s one of the main goals of the heterogeneous wireless sensor network (HWSN) to extend the network lifecycle by reasonably utilizing the heterogeneity of node energy.Therefore, according to the heterogeneity of node energy, a routing protocol (SA-MGWO) for HWSN based on simulated annealing (SA) algorithm and modified grey wolf optimizer (GWO) was proposed.Firstly, the appropriate initial clusters were selected by dening different tness functions for heterogeneous energy nodes.Secondly, The tness values of nodes were calculated and treated as initial weights in the GWO.At the same time, the weights were updated dynamically according to the distance between the wolves and their prey and coefficient vectors to improve the GWO’s optimization ability.Finally, simulated annealing algorithm was used to ensure the selection of optimal cluster set in heterogeneous networks.Compared with stable election protocol (SEP), distribute energy efficient clustering (DEEC), modified stable election protocol (M-SEP), and fitness value based improved grey wolf optimizer (FIGWO) protocols, the experimental results indicate that the network lifecycle of the SA-MGWO protocol improves by 53.1%, 31.9%, 46.5% and 27.0% respectively.…”
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A practical algorithm for the treatment of mild-to-moderate atopic dermatitis (AD) in pediatric patients in Europe: expert recommendations by Matthias Augustin, Thomas Luger, Carlo Pincelli, Adam Reich, Eulàlia Baselga, Ulrich Wahn

“…This algorithm is intended as a supplementary tool to the current international and national evidence-based treatment guidelines, and to aid physicians who see and treat children with AD in their clinical practice.…”
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Revalorization of Vinasse as a Farmland Improver Through Multi-Objective Genetic Algorithms: A Circular Economy Approach by Aarón Montiel-Rosales, Nayeli Montalvo-Romero, Gregorio Fernández-Lambert, Horacio Bautista-Santos, Yair Romero-Romero, Juan Manuel Carrión-Delgado

“…The value of vinasse is highlighted, not only as a waste to be treated, but as a regenerative input aligned with the Circular Economy.…”
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Abscess and symptoms duration upon presentation should guide decision algorithms for early versus interval appendectomy in children by Faidah Badru, Nicholas Piening, Armando Salim Munoz Abraham, Hector Osei, Jose Greenspon, Kaveer Chatoorgoon, Colleen Fitzpatrick, Gustavo A. Villalona

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Development and validation of a deep reinforcement learning algorithm for auto-delineation of organs at risk in cervical cancer radiotherapy by Li Yucheng, Qiu Lingyun, Shao Kainan, Jia Yongshi, Zhan Wenming, Ding Jieni, Chen Weijun

“…CT images were collected from 150 cervical cancer patients treated at our hospital between 2021 and 2023. Among these images, 122 CT images were used as a training set for the algorithm training of the DRL model based on the SAM model, and 28 CT images were used for the test set. …”
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Pre-transplant IE1-specific T-cell response and CD8+ T-cell count as predictive markers of treated HCMV reactivation in kidney transplant recipients by Federica Zavaglio, Irene Cassanti, Irene Cassanti, Marilena Gregorini, Marilena Gregorini, Maria Antonietta Grignano, Teresa Rampino, Daniele Lilleri, Fausto Baldanti, Fausto Baldanti

“…Potential cut-off and diagnostics algorithm should be better investigated in a large patients setting.…”
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PPIA, HRPT1, and PGK1 genes as the appropriate combination for RT-qPCR normalization in alveolar and femoral bone remodeling in olanzapine-treated rats by Disha-Ibrahimi Saranda, Drevenšek Gorazd, Drevenšek Martina, Marc Janja, Žitnik Irena Prodan

“…Their expressions were analysed using GeNorm, NormFinder, BestKeeper and delta Ct algorithms, and by the comprehensive ranking method. …”
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Packet Classification by Multilevel Cutting of the Classification Space: An Algorithmic-Architectural Solution for IP Packet Classification in Next Generation Networks by Motasem Aldiab, Emi Garcia-Palacios, Danny Crookes, Sakir Sezer

“…Traditionally, the Internet provides only a “best-effort” service, treating all packets going to the same destination equally. …”
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Fusion of transfer learning with nature-inspired dandelion algorithm for autism spectrum disorder detection and classification using facial features by G. Elangovan, N. Jagadish Kumar, J. Shobana, M. Ramprasath, Gyanendra Prasad Joshi, Woong Cho

“…There is no specific medicine for treating this disorder; early intervention is critical to improving brain function. …”
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New Comprehensive Clinical Classification of the Dry Eye Syndrome Severity 2024. Part 2. Treatment Algorithm — the Opinion of Ophthalmologists by А. V. Trubilin, V. N. Trubilin, E. G. Poluninа, E. A. Kasparova, D. V. Andzhelova, K. A. Mirzabekova, Yu. V. Evstigneeva, K. V. Chinenova, I. A. Leshenko

“…The study presented in this article, conducted on the basis of a questionnaire of ophthalmologist experts (Delphi method), made it possible to formulate an algorithm for treating dry eye syndrome using the developed comprehensive clinical classification of the severity of this pathology. …”
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Optimizing a Personalized Health Approach for Virtually Treating High-Risk Caregivers of Children With Neurogenetic Conditions (Project WellCAST): Protocol for a Randomized Control... by Bridgette Kelleher, Kaleb Emerson, Lyndsey N Graham, Veronika Vozka, Anne Wheeler, William Fadel, Daniel Foti, Isha Metzger, Mandy Rispoli, Wendy Machalicek, Laurie McLay, Sean Lane, Wei Siong Neo, Allie Carter, Lisa Brown, Jennifer Brown, Laura Lee McIntyre, Elizabeth Salwitz, Gloria Dietz, Riley Naughton, Katlyn Peek, Nicole Hollins, Emma Woodford

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Machine Learning-Based Prediction of Unconfined Compressive Strength of Sands Treated by Microbially-Induced Calcite Precipitation (MICP): A Gradient Boosting Approach and Correlat... by Saeed Talamkhani

“…The current study applies a soft-computing approach based on the gradient boosting method to predict the unconfined compressive strength (UCS) of sands treated with microbially-induced calcite precipitation (MICP). …”
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Predicting the Response of Patients Treated with 177Lu-DOTATATE Using Single-photon Emission Computed Tomography-Computed Tomography Image-based Radiomics and Clinical Features by Baharak Behmanesh, Akbar Abdi-Saray, Mohammad Reza Deevband, Mahasti Amoui, Hamid R. Haghighatkhah, Ahmad Shalbaf

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Generic health status improves after non-surgically and surgically treated hip abductor tendon pathology: a retrospective study of ninety-seven female patients by Nickan Zakikhany, Jeppe Lange, Bent Lund, Marie B. Bohn

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Surgical strategies in the management of aggressive spinal haemangiomas: Retrospective case series with literature review and a practical treatment algorithm by Ganesh Swaminathan, Gandham Edmond Jonathan, Sunithi Alexandar Mani, Shyamkumar Nidugula Keshava, Vinu Moses, Krishna Prabhu

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APPLYING THE GENETIC ALGORITHM AND QUANTUM CHEMICAL CALCULATIONS TO STUDY THE STRUCTURE OF THE Sc2B6 CLUSTER AND ITS CO ADSORPTION by Minh Thao Nguyen, Tho Thanh Bui, Trung Cang Phan, Sy Linh Ho

“…We used the genetic algorithm and quantum chemical calculations to study the structures of the Sc2B6 cluster. …”
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Improving Systematic Review Updates With Natural Language Processing Through Abstract Component Classification and Selection: Algorithm Development and Validation by Tatsuki Hasegawa, Hayato Kizaki, Keisho Ikegami, Shungo Imai, Yuki Yanagisawa, Shuntaro Yada, Eiji Aramaki, Satoko Hori

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Software with artificial intelligence-derived algorithms for detecting and analysing lung nodules in CT scans: systematic review and economic evaluation by Julia Geppert, Peter Auguste, Asra Asgharzadeh, Hesam Ghiasvand, Mubarak Patel, Anna Brown, Surangi Jayakody, Emma Helm, Dan Todkill, Jason Madan, Chris Stinton, Daniel Gallacher, Sian Taylor-Phillips, Yen-Fu Chen

“…Objective  To assess the accuracy, clinical effectiveness and cost-effectiveness of using  software with artificial intelligence-derived algorithms to assist in the detection and analysis of lung nodules in computed tomography scans of the chest compared with unassisted reading. …”
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Pretreatment CT-Based Machine Learning Radiomics Model Predicts Response in Inoperable Stage III NSCLC Treated with Concurrent Radiochemotherapy Plus PD-1 Inhibitors by Ya Li Bachelor, Min Zhang Bachelor, Yong Hu MM, Bo Du Bachelor, Youlong Mo Bachelor, Tianchu He MM, Mingdan Zhao Bachelor, Benlan Li Bachelor, Ji Xia Bachelor, Zhongjun Huang Bachelor, Fangyang Lu MD, Zhen Huang Bachelor, Bing Lu MD, Jie Peng MD

“…Third, radiological models were built using six machine learning algorithms: logistic regression (LR), discriminant analysis (DA), neural network (NN), random forest (RF), support vector machine (SVM) and K-Nearest Neighbour (KNN). …”
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