Fractal cycles of sleep, a new aperiodic activity-based definition of sleep cycles by Yevgenia Rosenblum, Mahdad Jafarzadeh Esfahani, Nico Adelhöfer, Paul Zerr, Melanie Furrer, Reto Huber, Famke F Roest, Axel Steiger, Marcel Zeising, Csenge G Horváth, Bence Schneider, Róbert Bódizs, Martin Dresler

“…Children and adolescents had shorter fractal cycles than young adults (76±34 vs 94±32 min). The fractal cycle algorithm detected cycles with skipped REM sleep in 91–98% of cases. …”
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TOM40 as a prognostic oncogene for oral squamous cell carcinoma prognosis by Lifei Deng, Hong Ran, Dunhui Yang, Zhen Wang, Peng Zhao, Hengjie Huang, Yongjin Wu, Peng Zhang

“…The immune infiltration pattern in OSCC was analyzed in the TCGA-OSCC cohort using the CIBERSORT algorithm. Clinically significant factors of OSCC were screened through the expression levels of TOM40 and a clinically relevant nomogram was constructed. …”
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Diagnosis of Schizophrenia and Its Subtypes Using MRI and Machine Learning by Hosna Tavakoli, Reza Rostami, Reza Shalbaf, Mohammad‐Reza Nazem‐Zadeh

“…Our objective was to employ magnetic resonance imaging (MRI) and machine learning (ML) algorithms to improve the classification of schizophrenia and its subtypes. …”
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HyQ2: A Hybrid Quantum Neural Network for NextG Vulnerability Detection by Yifeng Peng, Xinyi Li, Zhiding Liang, Ying Wang

“…In addition, the noise resilience and robustness of the HyQ2 algorithm were substantiated through experiments on the IBM quantum machine with only a 0.2% decrease compared to the simulation results.…”
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Multisource Accident Datasets-Driven Deep Learning-Based Traffic Accident Portrait for Accident Reasoning by Chun-Hao Wang, Yue-Tian-Si Ji, Li Ruan, Joshua Luhwago, Yin-Xuan Saw, Sokhey Kim, Tao Ruan, Li-Min Xiao, Rui-Jue Zhou

“…Moreover, to solve the problem of how to construct hidden relationship among the multisource accident data, a multisource accident data visualization method based on traffic accident knowledge graph where the accident relational inference algorithm is to complete the hidden relationship between traffic accident data labels is used and then data are visualized using the traffic accident knowledge graph. …”
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Outdoor Massive MIMO Testbed With Directional Beams: Design, Implementation, and Validation by Spandan Bisoyi, Pasupuleti Muralimohan, Harish Kumar Dureppagari, Pavan Reddy Manne, Kiran Kuchi

“…To address this, we introduced a fair scheduling algorithm alongside user pairing, which reduces the simultaneous number of paired users to 7 with QPSK modulation within the 30° sector, ensuring equal pairing opportunities for all users. …”
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A preoperative predictive model based on multi-modal features to predict pathological complete response after neoadjuvant chemoimmunotherapy in esophageal cancer patients by Yana Qi, Yanran Hu, Chengting Lin, Ge Song, Liting Shi, Hui Zhu

“…After feature selection, three single-modality prediction models and a combined multi-modality model integrating two radiomics features, 11 pathomics features, and two clinicopathological features were constructed using the support vector machine (SVM) algorithm. The performance of the models were evaluated using receiver operating characteristic (ROC) analysis, calibration plots, and decision curve analysis (DCA). …”
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Caution when using network partners for target identification in drug discovery by Dandan Tan, Yiheng Chen, Yann Ilboudo, Kevin Y.H. Liang, Guillaume Butler-Laporte, J. Brent Richards

“…We used the IntAct database to find physically interacting proteins of genes identified by exome-wide association studies (ExWASs), genome-wide association studies (GWASs) combined with a locus-to-gene mapping algorithm called the Effector Index, and Genetic Priority Score (GPS), which integrated eight genetic features with drug indications from the Open Targets and SIDER databases. …”
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Adversarial measurements for convolutional neural network-based energy theft detection model in smart grid by Santosh Nirmal, Pramod Patil, Sagar Shinde

“…The attack comprises two methods: the first is we originally propose a novel Adversarial Data Generation Method (ADGM), which is an algorithm designed to generate adversarial data, and the other is Fast Gradient Sign Method (FGSM). …”
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Fingolimod and risk of skin cancer among individuals with multiple sclerosis: a population-based cohort study protocol by Lisa Kuramoto, Larry D Lynd, Amir Khakban, Jacquelyn J Cragg, Anthony Traboulsee, Jiwon Oh, Analisa Jia, Weng Sut Sio, M A De Vera, Jonathan Loree, Roger Tam

“…Individuals with MS aged ≥18 years will be identified using a validated algorithm. Incident users of fingolimod and active comparators (natalizumab, alemtuzumab, dimethyl fumarate, teriflunomide) will then be identified. …”
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Advancing a machine learning-based decision support tool for pre-hospital assessment of dyspnoea by emergency medical service clinicians: a retrospective observational study by Wivica Kauppi, Henrik Imberg, Johan Herlitz, Oskar Molin, Christer Axelsson, Carl Magnusson

“…The gradient boosting algorithm had the overall best performance, with excellent calibration of the predictions, and consistently showed higher sensitivity to detect SAE than the other methods. …”
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Deep-learning-based extraction of circle of Willis topology with anatomical priors by Dieuwertje Alblas, Iris N. Vos, Micha M. Lipplaa, Christoph Brune, Irene C. van der Schaaf, Mireille R. E. Velthuis, Birgitta K. Velthuis, Hugo J. Kuijf, Ynte M. Ruigrok, Jelmer M. Wolterink

“…We showed that using a shortest path algorithm with a cost function based on local artery orientations results in continuous artery paths, even in hypoplastic cases. …”
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Exploration of metastasis-related signatures in osteosarcoma based on tumor microenvironment by integrated bioinformatic analysis by Shiyao Liao, Xing Gao, Kai Zhou, Yao Kang, Lichen Ji, Xugang Zhong, Jun Lv

“…Methods: The high-throughput sequencing data was downloaded from the TARGET database and performed the ESTIMATE algorithm. Metastasis-related information was obtained from the GSE21257 dataset. …”
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Desain Penilaian Risiko Privasi pada Aplikasi Seluler Melalui Model Machine Learning Berbasis Ensemble Learning dan Multiple Application Attributes by R. Ahmad Imanullah Zakariya, Kalamullah Ramli

“…The experimental results show that the application of ensemble learning with the Decision Tree (DT), K-Nearest Neighbor (KNN), and Random Forest (RF) classification algorithms provides better model performance compared to using a single classification algorithm, with an accuracy of 95.2%, a precision value of 93.2%, a F1-score of 92.4%, and a True Negative Rate (TNR) of 97.6%. …”
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A comprehensive overview of acupuncture therapy over the past 20 years: Machine learning-based bibliometric analysis by Chen Liu, Shuqing Liu, Yu Wang, Xinyi Xia, Yu Zhang, Huili Jiang, Tuya Bao, Xuehong Ma

“…A topic network was constructed by latent Dirichlet allocation (LDA) and the Louvain algorithm. Results: A total of 17,584 publications were finally recruited in this article. …”
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Evaluation of a PCR-based lateral flow device for detecting Aspergillus and Candida species from clinical specimens by Ariff Khalid, Jacinta Santhanam, Mohd Nizam Tzar, Ang-Lim Chua, Sharifah Fadilah Abdul Wahid, Wan Rahiza Wan Mat, Raha Abd Rahman, Petrick Periyasamy

“…Methods: Three separate multiplexed PCR reactions were designed together with a testing algorithm, using biotin, digoxigenin and Tamra fluorophore-labelled fungal internal transcribed spacer universal fungal primers, fungal genera-specific primers, and species-specific primers to produce labelled PCR products that were detected on the LFA dipstick. …”
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Magnetic resonance imaging quantification of left ventricular mechanical dispersion and scar heterogeneity optimize risk stratification after myocardial infarction by Xiaoying Zhao, Li Zhang, Lujing Wang, Wanqiu Zhang, Yujiao Song, Xinxiang Zhao, Yanli Li

“…Entropy was quantified using an algorithm implemented with a generic Python package. …”
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Identification of Potential Type II Diabetes in a Chinese Population with a Sensitive Decision Tree Approach by Dongmei Pei, Chengpu Zhang, Yu Quan, Qiyong Guo

“…With a strict data filtration, 10,436 records from the eligible participants were utilized to develop a prediction model using the J48 decision tree algorithm. Nine variables, including age, gender, body mass index (BMI), hypertension, history of cardiovascular disease or stroke, family history of diabetes, physical activity, work-related stress, and salty food preference, were considered. …”
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Machine learning models reveal microbial signatures in healthy human tissues, challenging the sterility of human organs by Anargyros Skoulakis, Anargyros Skoulakis, Giorgos Skoufos, Giorgos Skoufos, Armen Ovsepian, Armen Ovsepian, Artemis G. Hatzigeorgiou, Artemis G. Hatzigeorgiou

“…Unaligned sequencing reads with the human genome were processed using AGAMEMNON, an algorithm for metagenomic microbial quantification, with a reference database comprising bacterial, archaeal, and viral genomes, alongside fungal transcriptomes. …”
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Association Between Artificial Liver Support System and Prognosis in Hepatitis B Virus-Related Acute-on-Chronic Liver Failure by Cui K, Liu CH, Teng X, Chen F, Xu Y, Zhou S, Yang Q, Du L, Ma Y, Bai L

“…Based on the feature selection result of univariate logistic, univariate Cox and Boruta algorithm, the univariate and multivariate logistic and COX regression models were used to investigate the association of ALSS with 28-day, 60-day and 90-day outcomes in patients with HBV-ACLF. …”
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