Fast Physical Random Bit Generation Based on a Broadband Chaotic Entropy Source Originated From a Filtered Feedback WRC-FPLD by Xi Tang, Guang-Qiong Xia, Can Ran, Tao Deng, Xiao-Dong Lin, Li Fan, Zi-Ye Gao, Gong-Ru Lin, Zheng-Mao Wu

“…Second, a broadband chaotic signal with a bandwidth beyond 20 GHz output from the WRC-FPLD is sampled and transferred to a digital bit sequence by an 8-bit analog-to-digital converter at a rate of 40 GS/s. …”
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Improved epigenetic age prediction models by combining sex chromosome and autosomal markers by Zhong Wan, Peter Henneman, Huub C. J. Hoefsloot, Ate D. Kloosterman, Pernette J. Verschure

“…Highlights A set of age-prediction models based on DNA methylation (DNAm) markers on sex chromosomes and autosomes was constructed using random forest regression (RFR). From the total dataset containing 1291 whole blood and 547 buffy coat blood samples, 860 whole blood samples were used as training set and 481 as test set, while 365 buffy coat datasets were used as training set and 182 as test set. …”
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Random X chromosome inactivation in female Charcot-Marie-Tooth disease type X1: insights from sural nerve biopsy analysis by Can Ebru Bekircan-Kurt, Evrim Aksu-Menges, Eray Taha Kumtepe, Ceren Damla Durmaz, Yunus Kasim Terzi, Zeynep Ergul-Ulger, Çagri Mesut Temucin, Sevim Erdem-Ozdamar, Ersin Tan, Burcu Balci-Hayta

“…XCI patterns were analyzed using the human androgen receptor (HUMARA) assay on archived fresh-frozen sural nerve biopsy samples performed prior the genetic diagnosis and compared with age-matched vasculitic neuropathy controls. …”
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Assembly-free reads accurate identification (AFRAID) approach outperforms other methods of DNA barcoding in the walnut family (Juglandaceae) by Yanlei Liu, Kai Chen, Lihu Wang, Xinqiang Yu, Chao Xu, Zhili Suo, Shiliang Zhou, Shuo Shi, Wenpan Dong

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Integrative multi-omics approach using random forest and artificial neural network models for early diagnosis and immune infiltration characterization in ischemic stroke by Ling Lin, Chunmao Guo, Hanna Jin, Haixiong Huang, Haixiong Huang, Fan Luo, Ying Wang, Dongqi Li, Yuanxin Zhang, Yuqian Xu, Chanyan Zhu, Fengshan Zeng, Huahua He, Jie Chen, Wei Zhang, Wei Zhang, Wenlin Yu

“…Furthermore, PPI networks were constructed using DEGs from the String database, and Random Forest models were utilized to screen key DEGs. …”
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Gear Meshing State Detection Based on Phase Vibration Measurement Technology by Rong Rong, Shi Dapeng, Wang Zhuo, Zhang Xu, Ding Xiaoyu

“…In order to solve the problem that the detection of gear meshing state requires a large number of data samples, a gear meshing state detection method based on phase vibration measurement technology is proposed. …”
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Effects of open-label placebos across populations and outcomes: an updated systematic review and meta-analysis of randomized controlled trials by Johannes C. Fendel, Carl Tiersch, Paul Sölder, Jens Gaab, Stefan Schmidt

“…For the first time, it directly tests whether OLPs differ in effects between clinical and non-clinical samples, and between self-report and objective outcomes. …”
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Enhancing mechanical properties and freeze-thaw durability of xanthan-stabilized kaolinite clay with randomly distributed animal-based fibers by Mahyar Arabani, Sahand Fateh Ahmadi, Yasaman Mansourkiaei, Mohammad Mahdi Shalchian, Meghdad Payan, Payam Zanganeh Ranjbar

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COMPARATIVE MACHINE LEARNING ALGORITHM FOR CARDIOVASCULAR DISEASE PREDICTION by Ashish Mishra, Jyoti Mishra, Victor Hugo, Aloísio Vieira Lira Neto

“…The preliminary examination and evaluation predicted heart problems. The dataset has 303 samples with 14 features. The information is presented as a percentage of truth. …”
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Machine learning-based stem taper model: a case study with Brutian pine by Fadime Sağlam

“…A total of 121 destructively sampled trees were measured for stem diameter at multiple heights, and various taper models were evaluated for their accuracy. …”
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Predicting and Mapping of Soil Organic Matter with Machine Learning in the Black Soil Region of the Southern Northeast Plain of China by Yiyang Li, Gang Yao, Shuangyi Li, Xiuru Dong

“…The models were trained by using 1554 surface soil samples and 19 auxiliary variables. Recursive feature elimination was used as a feature selection method to identify effective variables. …”
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Environmental conditions explain variability in concentrations of nutrients but not emerging contaminants by Megan L. Fork, Jerker Fick, Alexander J. Reisinger, Peter M. Groffman, Emma J. Rosi

“…While pharmaceutical concentrations in streams and rivers are often below the thresholds for acute toxicity, they nonetheless disrupt ecology through changes to organisms' physiology, metabolism, and behavior. However, analyzing samples for the wide range of manufactured pharmaceuticals is often prohibitively expensive for many monitoring efforts. …”
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Reutericyclin, a specialized metabolite of Limosilactobacillus reuteri, mitigates risperidone-induced weight gain in mice by Fatima A. Aboulalazm, Alexis B. Kazen, Orlando deLeon, Susanne Müller, Fatima L. Saravia, Valery Lozada-Fernandez, Matthew A. Hadiono, Robert F. Keyes, Brian C. Smith, Stephanie L. Kellogg, Justin L. Grobe, Tammy L. Kindel, John R. Kirby

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Evaluation of machine learning algorithm capability for Bosten Lake Wetland classification based on multi-temporal Sentinel-2 data by Feiying Xia, Guanghui Lv

“…However, existing methods for classifying wetlands are of limited accuracy, and it is difficult to acquire consistent samples over time. Therefore, precise classification methods are required to facilitate wetland conservation and ecological restoration. …”
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Evaluation of landslide susceptibility of mountain highway based on RF and SVM models by Qingfeng He, Shoulong Wu, Xia Zhao, Zhankun Hui, Zhengang Wang, Paraskevas Tsangaratos, Ioanna Ilia, Wei Chen, Yixin Chen, Yiheng Hao

“…This study evaluates landslide susceptibility along the Lizha-Jiezi section of China’s G345 national highway using Random Forest (RF) and Support Vector Machine (SVM) models. …”
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A Comprehensive Study Employing Computational Analysis and Mendelian Randomization Has Revealed the Impact of Key Genes on Liver Cancer by Size Li, Wenying Qi, Junzheng Wu, Chunhua Luo, Shihao Zheng, Xu Cao, Wei Wang, Qiyao Liu, Hongbo Du, Xiaoke Li, Xiaobin Zao, Yongan Ye

“…Detection of rat and clinical samples further confirmed the upregulation of these genes in HCC, supporting their potential as therapeutic targets. …”
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Estimation of Ultrahigh Resolution PM_2.5 in Urban Areas by Using 30 m Landsat-8 and Sentinel-2 AOD Retrievals by Hao Lin, Siwei Li, Jiqiang Niu, Jie Yang, Qingxin Wang, Wenqiao Li, Shengpeng Liu

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Radar Echo Characteristics and Recognition of Warm-sector Torrential Rain in Sichuan Basin by Luo Hui, Xiao Dixiang, Kuang Qiuming, Qing Quan, Kang Lan

“…Feature vectors for identifying early and mature stages of torrential rain in warm regions are constructed and the selected samples are studied by random forest machine learning method. …”
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Selenium levels in soil and tea as affected by soil properties in Jiangxi Province, China by Fahui Jiang, Yan Wu, Mahbub Ul Islam, Xinfeng Jiang, Binqiang Wang, Shaolang He, Xiaobing Lin, Yongming Sun, Guohui Chen, Xi Chen, Shangshu Huang

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Unveiling the diagnostic and pro-inflammatory role of crohn’s disease: insights from 16 S-guided discovery and species-specific validation by Yao Xu, Runxiang Xie, Yuqing Weng, Yewei Fang, Huimin Chen, Shuan Tao, He Zhang, Yawen Ye, Xinyu Deng, Axiang Han, Qi Jiang, Wei Liang

“…Methods We performed comprehensive 16 S rRNA sequencing on fecal samples from active CD patients, inactive CD patients, and healthy controls. …”
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