Investigating LiDAR Metrics for Old-Growth Beech- and Spruce-Dominated Forest Identification in Central Europe by Devara P. Adiningrat, Andrew Skidmore, Michael Schlund, Tiejun Wang, Haidi Abdullah, Marco Heurich

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Morphological Neuroimaging Biomarkers for Tinnitus: Evidence Obtained by Applying Machine Learning by Yawen Liu, Haijun Niu, Jianming Zhu, Pengfei Zhao, Hongxia Yin, Heyu Ding, Shusheng Gong, Zhenghan Yang, Han Lv, Zhenchang Wang

“…The area under the curve (AUC) and accuracy were used to assess the performance of the classification model. As a result, a combination of 13 cortical/subcortical brain regions was found to have the highest classification accuracy for effectively differentiating patients with tinnitus from healthy subjects. …”
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Automated post-run analysis of arrayed quantitative PCR amplification curves using machine learning [version 1; peer review: awaiting peer review] by David Garrett Brown, Darwin J. Operario, Lan Wang, Shanrui Wu, Daniel T. Leung, Eric R. Houpt, James A. Platts-Mills, Jie Liu, Ben J. Brintz

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Diabetes and Cataracts Development—Characteristics, Subtypes and Predictive Modeling Using Machine Learning in Romanian Patients: A Cross-Sectional Study by Adriana Ivanescu, Simona Popescu, Adina Braha, Bogdan Timar, Teodora Sorescu, Sandra Lazar, Romulus Timar, Laura Gaita

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A pipeline for processing hyperspectral images, with a case of melanin-containing barley grains as an example by I. D. Busov, M. A. Genaev, E. G. Komyshev, V. S. Koval, T. E. Zykova, A. Y. Glagoleva, D. A. Afonnikov

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Assessing Methods to Measure Stem Diameter at Breast Height with High Pulse Density Helicopter Laser Scanning by Matthew J. Sumnall, Ivan Raigosa-Garcia, David R. Carter, Timothy J. Albaugh, Otávio C. Campoe, Rafael A. Rubilar, Bart Alexander, Christopher W. Cohrs, Rachel L. Cook

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A novel high-resolution eco-functional vegetation mapping of coastal dunes by Michele Innangi, Mirko Di Febbraro, Marco Balsi, Ginevra Colonna, Michele Finizio, Federica Pontieri, Maria Laura Carranza

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Measuring the condition of Tehran Metropolitan based on Ubiquitous city indicators by Haniyeh Asadzadeh, Afshar Hatami, Farzaneh Sasanpour

“…In general, dimensional classification showed that 13.33 percent of the dimensions were in an excellent condition, 13.33 percent in good condition, 20 percent in moderate condition, 40 percent in poor condition and 13.33 percent in deplorable condition. …”
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Carcinoembryonic antigen trajectory predicts pathological complete response in advanced gastric cancer after neoadjuvant chemotherapy by Yonghe Chen, Yonghe Chen, Yonghe Chen, Dan Liu, Kaikai Wei, Yi Lin, Yi Lin, Yi Lin, Zhong Wang, Qian Sun, Huashe Wang, Huashe Wang, Huashe Wang, Junsheng Peng, Junsheng Peng, Junsheng Peng, Lei Lian, Lei Lian, Lei Lian

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Three-dimensional reconstruction and connectivity analysis of REV-size organic matter in shales by Dongchen Liu, Dongchen Liu, Dongchen Liu, Xuefeng Yang, Xuefeng Yang, Shengxian Zhao, Shengxian Zhao, Deliang Zhang, Deliang Zhang, Shan Huang, Shan Huang, Ning Zhu, Ning Zhu, Jianqi Rong, Bowen Shi, Zhiwei Wang, Chao-Zhong Qin

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Identification of novel serum lipid metabolism potential markers and metabolic pathways for oral cancer: a population-based study by Na Wang, Yujia Chen, Jianli Lin, Yulan Lin, Haoyuan Song, Weihai Huang, Liling Shen, Fa Chen, Fengqiong Liu, Jing Wang, Yu Qiu, Bin Shi, Ling Li, Lisong Lin, Lizhen Pan, Baochang He

“…The three most significant changes in lipid metabolites were phosphatidylcholine (PC(18:3e/17:2)), acylcarnitine (ACar(14:2)), and glucuronosyldiacylglycerol (GlcADG(14:1/14:1)). The disease classification model, constructed using a KNN algorithm with 13 metabolites selected through LASSO screening, achieved the best performance, with an AUC of 0.978 (0.955-1.000). …”
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Adaptive Positioning Control of Multi-Point Moorings with Disturbance Observation Under Input Constraints by Run Lu, Guichen Zhang, Ru Liu, Chaojian Gao, Wei Chen, Huanglong Fu

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Eltrombopag Improves Refractory Thrombocytopenia in a Patient with Systemic Lupus Erythematosus by Natsuki Shima, Keiichi Sumida, Masahiro Kawada, Akinari Sekine, Masayuki Yamanouchi, Rikako Hiramatsu, Noriko Hayami, Eiko Hasegawa, Tatsuya Suwabe, Junichi Hoshino, Naoki Sawa, Kenmei Takaichi, Kenichi Ohashi, Takeshi Fujii, Yoshifumi Ubara

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Machine Learning and Multi-Omics Integration to Reveal Biomarkers and Microbial Community Assembly Differences in Abnormal Stacking Fermentation of Sauce-Flavor <i>Baijiu</i> by Shuai Li, Yueran Han, Ming Yan, Shuyi Qiu, Jun Lu

“…This study used three machine learning models (Logistic Regression, KNN, and Random Forest) combined with multi-omics (metagenomics and flavoromics) to develop a classification model for abnormal fermentation. SHAP analysis identified 13 Sub-Temp Fermentation and 9 Waistline microbial biomarkers, along with 9 Sub-Temp Fermentation and 12 Waistline flavor biomarkers. …”
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Generalized Design for Additive Manufacturing (DfAM) Expert System Using Compliance and Design Rules by Bader Alwoimi Aljabali, Santosh Kumar Parupelli, Salil Desai

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Design and Evaluation of a Leader–Follower Isomorphic Vascular Interventional Surgical Robot by Pengfei Chen, Yutang Wang, Dapeng Tian

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EEG-to-EEG: Scalp-to-Intracranial EEG Translation Using a Combination of Variational Autoencoder and Generative Adversarial Networks by Bahman Abdi-Sargezeh, Sepehr Shirani, Antonio Valentin, Gonzalo Alarcon, Saeid Sanei

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Management of business risks of wholesale companies by Igor Kryvovyazyuk

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Psychometric Properties and Confirmatory Factor Analysis of the Dark Tetrad Personality Questionnaire in Students by moslem ghobadiyan, mohammadjavad bagiyan, Tahereh Mahmoudiyan Dastnaee

“…The statistical population consists of all students aged 13 to 18 years in Khorramabad city in the academic year of 2019-2020. …”
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Mitogenome Phylogenetics of Spiruromorpha Porpoise Parasite: Insights Into Phylogeny of <i>Crassicauda magna</i> by Lei Han, Yuling Yang, Maolin Lu, Hongyan Yu, Yaxian Lu, Mengchao Zhou, Tianlu Liu, Ruisi Zhang, Bingyao Chen, Zhijun Hou

“…However, there has been a great controversy regarding its classification. Mitochondria have an important function in revealing taxonomic and evolutionary history. (2) Methods: In this study, we sequenced the mitochondrial genome of <i>C. magna</i> and conducted a phylogenetic analysis with the mitochondrial sequences of species belonging to the Habronematoidea family. (3) Results: The complete mitochondrial genome was 13,604 bp and it has an AT-rich sequence and one non-coding region (NCR). …”
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