The Genetic Landscape of Human Glioblastoma and Matched Primary Cancer Stem Cells Reveals Intratumour Similarity and Intertumour Heterogeneity by Chiara Pesenti, Stefania Elena Navone, Laura Guarnaccia, Andrea Terrasi, Jole Costanza, Rosamaria Silipigni, Silvana Guarneri, Nicola Fusco, Laura Fontana, Marco Locatelli, Paolo Rampini, Rolando Campanella, Silvia Tabano, Monica Miozzo, Giovanni Marfia

“…Pearson correlation and K-means algorithm were exploited to compare genetic alterations and to group similar genetic profiles in matched pairs of GBM and derived GSCs. …”
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Identifikasi Nada antara Suling Sunda dan Suling Rekorder dengan Menggunakan Metode Frequency Cpstral Coefficients (MFCC) dan Dynamic Time Warping (DTW) by Fawwaz Muhammad Suryadikarsa, Youllia Indrawaty Nurhasanah, Irma Amelia Dewi

“…This research was made using an algorithm Mel Frequency Cepstral Coefficient (MFCC) to perform feature extraction and algorithm processes Dynamic Time Warping (DTW) is used to identify the time difference of recording. …”
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Klasifikasi Kelas Kata (Part-Of-Speech Tagging) untuk Bahasa Madura Menggunakan Algoritme Viterbi by Ilham Firmansyah, Putra Pandu Adikara, Sigit Adinugroho

“…Part-Of-Speech Tagging research on Madurese language using Viterbi algorithm, consists of 3 processes, which are training and testing corpus pre-processing, training the corpus by Hidden Markov Model, and tag classification using Viterbi algorithm. …”
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Spatial deconvolution from bulk DNA methylation profiles determines intratumoral epigenetic heterogeneity by Binbin Liu, Yumo Xie, Yu Zhang, Guannan Tang, Jinxin Lin, Ze Yuan, Xiaoxia Liu, Xiaolin Wang, Meijin Huang, Yanxin Luo, Huichuan Yu

“…The 7 most representative CpGs were identified and subsequently selected to develop the MeHEG algorithm. We validated its performance of deconvolution of tumor regions in an independent cohort. …”
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Intelligent fault diagnosis method for rolling bearings based on flexible residual neural network by Chuang CHEN, Xianfeng LI, Jiantao SHI, Dongdong YUE

“…This performance surpasses that of models using grey wolf optimizer (GWO), butterfly optimization algorithm (BOA), and whale optimization algorithm (WOA), indicating the excellent search capabilities of the DSABO proposed in this paper. …”
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Ascertainment and Verification of End-Stage Renal Disease and End-Stage Liver Disease in the North American AIDS Cohort Collaboration on Research and Design by Mari M. Kitahata, Daniel R. Drozd, Heidi M. Crane, Stephen E. Van Rompaey, Keri N. Althoff, Stephen J. Gange, Marina B. Klein, Gregory M. Lucas, Alison G. Abraham, Vincent Lo Re, Justin McReynolds, William B. Lober, Adell Mendes, Sharada P. Modur, Yuezhou Jing, Elizabeth J. Morton, Margaret A. Griffith, Aimee M. Freeman, Richard D. Moore

“…The algorithm had 100% sensitivity, 99% specificity, 82% PPV, and 100% NPV for ESRD. …”
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Prognostic prediction for inflammatory breast cancer patients using random survival forest modeling by Yiwei Jia, Chaofan Li, Cong Feng, Shiyu Sun, Yifan Cai, Peizhuo Yao, Xinyu Wei, Zeyao Feng, Yanbin Liu, Wei Lv, Huizi Wu, Fei Wu, Lu Zhang, Shuqun Zhang, Xingcong Ma

“…Random survival forest (RSF) algorithm was adopted to construct an accurate prognostic prediction model for IBC patients. …”
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Metabolic Modulation and Potential Biomarkers of the Prognosis Identification for Severe Aortic Stenosis after TAVR by a Metabolomics Study by Yanbiao Liao, Chang Liu, Tianyuan Xiong, Mingyue Zhao, Wen Zheng, Yuan Feng, Yijian Li, Yuanweixiang Ou, Zhengang Zhao, Yong Peng, Jiafu Wei, Qiao Li, Wei Meng, Xiaojing Liu, Mao Chen

“…We used volcano plots to find that the cardiac-specific changed metabolites were enriched to the sphingolipid metabolism pathway after TAVR. Besides, WGCNA algorithm was performed to reveal that arginine and proline metabolites could reflect left ventricle regression to some extent. …”
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Machine learning-based identification and validation of amino acid metabolism related genes as novel biomarkers in chronic kidney disease by Guoqing Zhang, Hongyan Luo, Xiaohua Lu, Yonghua Liu, Mei Wang, Bo Li, Haixia Lu, Yali Zheng

“…Moreover,we employed ssGSEA algorithm to evaluate the infiltration abundance of immune cells and calculated the correlation among the immune cells with the key genes. …”
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Noninvasive Oral Hyperspectral Imaging–Driven Digital Diagnosis of Heart Failure With Preserved Ejection Fraction: Model Development and Validation Study by Xiaomeng Yang, Zeyan Li, Lei Lei, Xiaoyu Shi, Dingming Zhang, Fei Zhou, Wenjing Li, Tianyou Xu, Xinyu Liu, Songyun Wang, Quan Yuan, Jian Yang, Xinyu Wang, Yanfei Zhong, Lilei Yu

“…We extracted 25 spectral bands from each patient image and obtained 8 corresponding texture features to evaluate the performance of 28 machine learning algorithms for their ability to distinguish control participants from participants with HFpEF. …”
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The optimization of consensus decision-making for a multi-microwave source system based on composite leader-follower clustering for intelligent agent-based joint heating temperatur... by Biao Yang, Baowei Song, Cheng Cheng, Youpeng Zhao, Haiqin Yang, Yuchen Li, Zhongyi He

“…Consensus decisions between multiple leader decision points were made through a weight allocation algorithm, achieving a dynamic balance between temperature control and temperature field optimization. …”
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Path Planning Approaches in Multi‐robot System: A Review by Semonti Banik, Sajal Chandra Banik, Sarker Safat Mahmud

“…Moreover, the findings from this review, highlighting the strengths and drawbacks of each algorithm, can help researchers select the appropriate approach to overcome the limitations in designing efficient multi‐robot systems.…”
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Utilizing the Finite Fourier Series to Generate Quadrotor Trajectories Through Multiple Waypoints by Yevhenii Kovryzhenko, Ehsan Taheri

“…Additionally, we compare the FFS-based parameterization with the polynomial-based minimum-snap algorithm, demonstrating comparable performance across several representative trajectories while uncovering key differences in higher-order derivatives. …”
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The Characterization of Liquefied Petroleum Gas (LPG) Using a Modified Bunsen Burner by Bader A Alfarraj, Ahmed A. Al-Harbi, Saud A. Binjuwair, Abdullah Alkhedhair

“…A premixed flame was used for the modified Bunsen burner. A MATLAB algorithm was successfully applied to flame image processing and measurement of laminar burning velocity. …”
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Clinical Treatment and Nursing Intervention Study of Clipping Treatment of Cerebral Aneurysm under the Health Model of Data Analysis by Yuyou Huang, Liping Huang

“…To verify its data analysis ability, this paper designs experiments on unbalanced data sets and experiments to improve the execution efficiency of the algorithm. After analyzing the results obtained from the experiment, this paper will apply them to the clinic. …”
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Influences of Flow Attack Angles and Flow Directions on Heat Transfer Rate, Pressure Loss, and Thermal Performance in Heat Exchanger Tube with V-Wavy Surface by Amnart Boonloi, Withada Jedsadaratanachai

“…The finite volume method with the SIMPLE algorithm is selected to solve the present problem. …”
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Research of Fault Diagnosis Method of Multi Low Speed High-loaded Bearings Installed on Same Axis by Han Jiahua, Yan Wen, Cao Jinhua

“…Firstly,the spline interpolation algorithm is used to transform the acquired time domain nonstationary signal into the angular pseudo-stationary signal to realize the angular area resampling,extract the contact angle of rotation of bearing,and the vibration source recognition is completed. …”
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The Impact of Feature Extraction in Random Forest Classifier for Fake News Detection by Dhani Ariatmanto, Anggi Muhammad Rifai

“…This research focuses on detecting and classifying fake news using the Random Forest algorithm by investigating the impact of feature extraction techniques on classification accuracy, this study specifically employs the TF-IDF method. …”
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Individual differences in temporal order judgment by Leah Fostick, Moti Zwilling, Harvey Babkoff

“…In Experiment 1, results from 177 participants replicated the large variance in participants’ performance and suggested three response patterns, validated using the K-Means clustering algorithm. In Experiment 2, the introduction of three tone-pairs to 90 participants, as opposed to a single pair, markedly decreased the propensity of participants to utilize HPR. …”
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Damage Detection of Structures for Ambient Loading Based on Cross Correlation Function Amplitude and SVM by Lin-sheng Huo, Xu Li, Yeong-Bin Yang, Hong-Nan Li

“…The data features are then input into the SVM with the one-against-one (OAO) algorithm to classify the damage status of the structure. …”
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