Machine learning discovery of the dielectric properties of strontium-containing condensed matter by Dongyang Huang, Jiaxing Fu, Chenghao Yu

“…In this work, machine learning models were successfully developed to capture the relationship between composition and dielectric properties of strontium-containing dielectrics using different algorithms, with hyperparameter optimization performed via grid search. …”
Get full text

The role of MRO as an M2 macrophage-associated gene in non-small cell lung cancer: insights into immune infiltration, prognostic significance, and therapeutic implications by Yue Gu, Miaosen Zheng, Jing Xie

“…Methods NSCLC samples from The Cancer Genome Atlas (TCGA) were analyzed using the CIBERSORT algorithm to quantify immune cell compositions. Differential gene expression and correlation studies examined MRO’s association with M2 macrophages. …”
Get full text

UAV-assisted MEC offloading strategy with peak AOI boundary optimization: A method based on DDQN by Zhixiong Chen, Jiawei Yang, Zhenyu Zhou

“…Compared with baseline schemes based on non-cooperative game theory with stochastic learning automata and random edge unloading, the proposed algorithm improves the overall performance by approximately 3.52 % and 20.73 %, respectively, and provides superior deterministic offloading performance by using the peak AoI boundary.…”
Get full text

Effectiveness of biomarker-guided duration of antibiotic treatment in children hospitalised with confirmed or suspected bacterial infection: the BATCH RCT by Cherry-Ann Waldron, Philip Pallmann, Simon Schoenbuchner, Debbie Harris, Lucy Brookes-Howell, Céu Mateus, Jolanta Bernatoniene, Katrina Cathie, Saul N Faust, Josie Henley, Lucy Hinds, Kerry Hood, Chao Huang, Sarah Jones, Sarah Kotecha, Sarah Milosevic, Helen Nabwera, Sanjay Patel, Stéphane Paulus, Colin VE Powell, Jenny Preston, Huasheng Xiang, Emma Thomas-Jones, Enitan D Carrol

“…Interventions Procalcitonin-guided algorithm versus usual standard care alone. Main outcome measures Coprimary outcomes were duration of intravenous antibiotic use and a composite safety measure. …”
Get full text

A Ray-Tracing-Based Single-Site Localization Method for Non-Line-of-Sight Environments by Shuo Hu, Lixin Guo, Zhongyu Liu

“…Simulation results validate the efficacy of the proposed algorithm, achieving localization performance that approaches the Cramér–Rao lower bound (CRLB), even in challenging NLOS scenarios.…”
Get full text

Intelligent control method of robot based on angle of attack feedback for energy efficiency optimization by WANG Tianzhu, LIU Jiayin, HAN Song, CHE Honglei, SHI Congling

“…Firstly, the kinematic characteristics of the designed robotic dolphin was analyzed to clarify the hardware basis of the algorithm. Secondly, in view of the problem that the caudal fin motor cannot effectively cooperate with the lumbar joint motor during high-frequency movement, a joint angle control algorithm based on fuzzy reasoning was proposed to realize the tracking of the expected joint angle by the caudal fin joint in the torque mode. …”
Get full text

Power Balanced Adjustment of Quad-Inverter Installation with Modified Discontinuous PWM by Oleschuk V., Ermuratskii V.

“…So, basic novelty of this research is in the fact, that the elaborated and investigated control and modulation algorithms for installation on the base of inverters with discontinuous space-vector modulation (with both 300-non-switching intervals and 600-non-switching intervals) insure both required power sharing capability between dc links and advanced harmonic composition (without even harmonics and subharmonics) of spectra of the phase and line voltages of six-phase installation. …”
Get full text

Advancing Stability in Robot Manipulators: A Review of Recent Progress and Parameters by Shabnom Mustary, Mohammod Abul Kashem, Jannatul Mawya Sony, Nayem Hossain, Mohammad Asaduzzaman Chowdhury

“…Advancements comprise advanced control algorithms, sensor technology, and new mechanical schemas (rigid, flexible and hybrid). …”
Get full text

Congestion control strategy of VANET channel based on load prediction by Yang Ge, Zhu Yonghao

“…Finally the obtained load prediction value is compared with the preset standard value, and the power control algorithm is used to adjust the transmission power according to the comparison result to avoid channel congestion in advance. …”
Get full text

Correcting the Arcjet Thruster Disturbance in GOES‐16 Magnetometer Data by S. Califf, D. Early, M. Grotenhuis, T. M. Loto'aniu, J. Kronenwetter

Get full text

Skin microbiome-biophysical association: a first integrative approach to classifying Korean skin types and aging groups by Seyoung Mun, Seyoung Mun, Seyoung Mun, HyungWoo Jo, HyungWoo Jo, Young Mok Heo, Chaeyun Baek, Hye-Been Kim, Haeun Lee, Kyeongeui Yun, Kyeongeui Yun, Jinuk Jeong, Wooseok Lee, Dasom Jeon, Dasom Jeon, So Min Kang, So Min Kang, Seunghyun Kang, Young-Bong Choi, Young-Bong Choi, Sangjin Han, Gabriel Kim, Kung Ahn, Dong Hun Lee, Yong Ju Ahn, Dong-Geol Lee, Dong-Geol Lee, Kyudong Han, Kyudong Han, Kyudong Han, Kyudong Han

“…To further amplify our findings, we harnessed the potent capabilities of the CatBoost boosting algorithm and achieved a reliable framework for predicting skin types based on microbial composition with an impressive average accuracy of 0.96 AUC value. …”
Get full text

Sequence characterization and evolutionary analysis of S-RNase gene among five genera Pomoideae by LIANG Wenjie, XIE Zhiliang, Wuyun Tana

“…The Find Best DNA/Protein Models program of MEGA11 software was used to find out the optimal model suitable for the sequence of 5 genera of Pyridae S-RNase gene, and the corresponding model and algorithm were used to calculate the differentiation between the sequences. …”
Get full text

Influence of onion skin powder on nutritional and quality attributes of wheat pasta. by Monika Michalak-Majewska, Dorota Teterycz, Siemowit Muszyński, Wojciech Radzki, Emilia Sykut-Domańska

Get full text

Identification of Key Genes Related to Intramuscular Fat Content of Psoas Major Muscle in Saba Pigs by Integrating Bioinformatics and Machine Learning Based on Transcriptome Data by Zixia Huang, Yongli Yang, Jinhua Lai, Qiang Chen, Xiaoyi Wang, Shuyan Wang, Mingli Li, Shaoxiong Lu

“…Four potential fat-deposition-related genes (<i>DGAT2</i>, <i>PCK1</i>, <i>MELK</i>, and <i>FASN</i>) were further screened via the intersection of the candidate genes identified by the Least Absolute Shrinkage and Selection Operator (LASSO) algorithm and the top five genes ranked by the Random Forest (RF) method based on the 20 hub genes and were validated in the test gene set (GSE207279). …”
Get full text

A patient stratification signature mirrors the immunogenic potential of high grade serous ovarian cancers by Laurel K. Berry, Ashok K. Pullikuth, Kristen L. Stearns, Yuezhu Wang, Calvin J. Wagner, Jeff W. Chou, Janelle P. Darby, Michael G. Kelly, Raghvendra Mall, Ming Leung, Julia Chifman, Lance D. Miller

“…Conclusions STRATsig is a composite of parallel immunoregulatory pathways that mirrors tumor immunogenic potential. …”
Get full text

Software-Based Transformation of White Light Endoscopy Images to Hyperspectral Images for Improved Gastrointestinal Disease Detection by Chien-Wei Huang, Chang-Chao Su, Chu-Kuang Chou, Arvind Mukundan, Riya Karmakar, Tsung-Hsien Chen, Pranav Shukla, Devansh Gupta, Hsiang-Chen Wang

“…<b>Conclusions:</b> These results confirm that the SAVE algorithm significantly improves the early identification and classification of GID, therefore providing a potential development towards more accurate, non-invasive GID diagnostics with WCE.…”
Get full text

EXTREME NORMOBLASTOSIS IN A THALASSAEMIA INTERMEDIA PATIENT POST-SPLENECTOMY: THE ROLE OF FLOW CYTOMETRY IN DIAGNOSIS AND MANAGEMENT by İdil Yürekli, Gülçin Dağlıoğlu, Naciye Nur Tozluklu, Birol Güvenç

“…This case reinforces the need for a tailored flow cytometric testing algorithm for complex cases.…”
Get full text

Unraveling volatile metabolites in pigmented onion (Allium cepa L.) bulbs through HS-SPME/GC–MS-based metabolomics and machine learning by Kaiqi Cheng, Kaiqi Cheng, Jingzhe Xiao, Jingyuan He, Rongguang Yang, Jinjin Pei, Jinjin Pei, Wengang Jin, Wengang Jin, A. M. Abd El-Aty, A. M. Abd El-Aty

“…SHAP analysis further confirmed 20 metabolites as potential key markers.ConclusionThe findings suggest that the combination of HS-SPME/GC-MS and machine learning, particularly the random forest algorithm, is a powerful approach for characterizing and classifying volatile metabolite profiles in colored onions. …”
Get full text

Predictive Modelling of H2S Removal from Biogas Generated from Palm Oil Mill Effluent (POME) Using a Biological Scrubber in an Industrial Biogas Plant: Integration of Artificial Ne... by Joanna Lisa Clifford, Yi Jing Chan, Mohd Amran Bin Mohd Yusof, Timm Joyce Tiong, Siew Shee Lim, Chai Siah Lee, Woei-Yenn Tong

“…The H2S removal was then predicted using a machine learning algorithm, specifically ANN, based on two years of historical data obtained from the biogas plant. …”
Get full text

OncoPSM: an interactive tool for cost-effectiveness analysis using partitioned survival models in oncology trial by Xulong Qiu, Xulong Qiu, Jidi Chen, Jidi Chen, Muting Wang, Kaixin Zheng, Ruixiong Li

“…However, many CEA tools are not specifically tailored to address the intricate cost composition resulting from the complex treatment regimens in oncology trials.MethodsWe extracted data from Kaplan-Meier (KM) curves, reconstructed individual patient data (IPD) using an iterative KM algorithm, and fitted parametric survival functions to the IPD data. …”
Get full text