Accuracy of additive and subtractive hybrid fabrication of complete-arch implant titanium frameworks by WANG Han, HU Jian, LI Lin

“…The centroid coordinates were imported into a reverse-measurement software(Geomagic Control X) and the angular deviation of each interface was calculated by creating “line features”. Statistical tests were performed using Kruskal-Wallis, ManneWhitney U, and one-way ANOVA(α=0.05). …”
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Seismic clusters and fluids diffusion: a lesson from the 2018 Molise (Southern Italy) earthquake sequence by Stefania Gentili, Piero Brondi, Giuliana Rossi, Monica Sugan, Giuseppe Petrillo, Jiancang Zhuang, Stefano Campanella

“…A stochastic declustering method based on the Epidemic Type Aftershock Sequence (ETAS) model was also applied to add probabilistic information. …”
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Scrutinizing the Gateway Relationship Between Gaming and Gambling Disorder: Scoping Review With a Focus on the Southeast Asian Region by Kristiana Siste, Daniel L King, Enjeline Hanafi, Lee Thung Sen, Adrian Adrian, Belinda Julivia Murtani

“…We focused on the gateway interaction and provided a possible pathway model, while two other convergence relationships were provided for comparison. …”
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Identification of potential metabolic biomarkers and immune cell infiltration for metabolic associated steatohepatitis by bioinformatics analysis and machine learning by Haoran Xie, Junjun Wang, Qiuyan Zhao

“…Results: We successfully identified seven signature MRDEGs, including CYP7A1, GCK, AKR1B10, HPRT1, GPD1, FADS2, and ENO3, through PPI network analysis and machine learning algorithms. The gene model displayed exceptional diagnostic performance in the training and validation cohorts, as evidenced by the area under ROC curve (AUC) exceeding 0.9. …”
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Field and numerical evaluation of discontinuous improved subsurface drainage for waterlogging control by Yuan Tao, Jing Liu, QiuYang Su, Xiaoyan Guan, Xiaomin Chang, Haorui Chen

“…Based on a calibrated and validated HYDRUS-3D model, the simulations involved variations in filter heights, filter widths, filter spacings, and drain spacings have been conducted. …”
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A Systematic Review of the Current State of Transfer Learning Accelerated CNN-Based Plant Leaf Disease Classification by David J. Richter, Md Ilias Bappi, Shivani Sanjay Kolekar, Kyungbaek Kim

“…Also, different methods for improving transfer-learning accelerated convolutional neural network models and training are listed. Additionally, performance comparisons of different prominent models for the field of plant leaf disease classification, as well as performance comparisons of different dataset types will be provided.…”
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Reduce the User Burden of Multiuser Myoelectric Interface via Few-Shot Domain Adaptation by Bo Xue, Le Wu, Aiping Liu, Xu Zhang, Xiang Chen, Xun Chen

“…Most current work requires the new user to provide one or more trials per gesture (dozens to hundreds of samples), applying domain adaptation methods to calibrate the model and achieve promising movement recognition performance. …”
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Change in different classes of chronic back pain suspicious of axial spondyloarthritis: a latent transition analysis of the SPACE cohort by Sofia Ramiro, Robert Landewé, Désirée van der Heijde, Roberta Ramonda, Alexandre Sepriano, Manouk de Hooge, Floris A van Gaalen, Karen Minde Fagerli, Sofia Exarchou, Caroline Bastiaenen, Miranda van Lunteren, Philipp Bosch, Mary-Lucy Marques, Liese de Bruin

“…Transitional probabilities were extracted revealing potential switches across classes. The analyses were performed in all participants using imputations for missing data and in participants with full data at baseline and 2 years.Results Baseline and 2 years LCA models were constructed for 702 participants, resulting in the same four-class model as previously described. …”
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Real‐World Analysis of Treatment Patterns in Limited‐Stage Small Cell Lung Cancer: Implications for Clinical Practice by Siyuan Yu, Xiaoyi Feng, Shengjie Li, Xiaoyan Liu, Xiaoxing Gao, Minjiang Chen, Jing Zhao, Wei Zhong, Yan Xu, Mengzhao Wang

“…Cox regression models were used to assess the factors influencing survival. …”
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Temporal variations in NO x , O3, and CO2 and meteorological influences in New York and New Jersey urban atmospheres by Christopher Blaszczak-Boxe, Nakul N. Karle, O. Ideki, L. Taku, M. Yu, S. Wang, N. Golosov, M. Riyad, Dickens St. Hilaire, K. Smith, B. Abdul-Hamid, T. Hollet, A. Quarkume

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Single-Cell Transcriptional Analysis Reveals the Mechanism of AZD6738 in HCC Immunotherapy via EZH2 Targeting by Li RP, Wu GZ, Fang XD, Yang WW, Zhang HY, Yue HX, Zheng Y, Wang YP, Zhou YN

“…Using these molecules and clinical features, we constructed a robust prognostic model for HCC. …”
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Neural-induced human adipose tissue-derived stem cell secretome exerts neuroprotection against rotenone-induced Parkinson’s disease in rats by Mahesh Ramalingam, Sujeong Jang, Jinsu Hwang, Hyong-Ho Cho, Byeong C. Kim, Han-Seong Jeong

“…ROT (1 mg/kg) was subcutaneously administered for 28 days to establish a model of PD in rats. The treatment of NI-hADSC-CM or NI-hADSC-Exo was intravenously injected on days 15, 18, 21, 24, and 27. …”
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Intelligent Robot Interventions for People With Dementia: Systematic Review and Meta-Analysis of Randomized Controlled Trials by Wenqi Fan, Rui Zhao, Xiaoxia Liu, Lina Ge

“…The intervention effect of intelligent robots on patients with dementia was summarized using a fixed-effect model or a random-effects model with Stata software (version 16.0; StataCorp). …”
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A LODDS-based nomogram for overall and cancer-specific survival in stage III-IV gastric signet ring cell carcinoma by Cenzhu Wang, Ying Fang, Yuhan Zhang, Shuhan Feng, Rui Hou, Hanfang Fan, Zeyu Wang, Lei Liu, Junli Ding, Junying Xu

“…The X-tile software was used to identify cut-off values while their relationship with clinical features was explored by chi-square test. The Kaplan-Meier analysis was applied for survival curve while cox regression analysis was performed for independent risk factors. …”
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Biaxial seismic response of base-column connections in sub-standard steel buildings: dataset [version 2; peer review: 2 approved, 1 approved with reservations] by Nikolaos Stathas, Jingren Wu, Luigi Di Sarno, Mario D’Aniello, Fabio Freddi, Raffaele Landolfo, Stathis Bousias, Lambros Papagiannis, Esra Mete Güneyisi

“…These types of framed structures typically feature semi-rigid and partial strength column-base connections; the behaviour of such connections may significantly affect their seismic performance. …”
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Automatic Correction of Labeling Errors Applied to Tomato Detection by Ángel Eduardo Zamora Suárez, Gerardo Antonio Alvarez Hernandez, Juan Irving Vasquez, Hind Taud, Abril Valeria Uriarte-Arcia, Erik Zamora

“…Accurate labeling is critical for training reliable deep learning models in agricultural applications. However, manual labeling is often error-prone, especially when performed by non-experts, and such errors (modeled as noise) can significantly degrade model performance. …”
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SmartAnchor3DLane: Towards monocular 3D lane detection with anchor proposal by Jianhao Zhang, Tingting Ru, Chenxiao Cai

“…Anchor3DLane improves the performance of lane detection by directly sampling the front-view feature map. …”
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Job preferences among traditional Chinese medicine clinical graduates in China: a discrete choice experiment by Yichun Gu, Botao Tian, Shang Wu, Shimeng Liu, Lihang Sun, Yaqun Wang, Huaxin Yu, Yulin Zhang, Jinying Su, Da He

“…The job attributes examined included the monthly income, work location, hospital tier, job stability (position tenure), work intensity, opportunities for mentorship under renowned practitioners, and career advancement prospects. A mixed logit model was employed to obtain the main effects model. …”
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Machine learning of clinical phenotypes facilitates autism screening and identifies novel subgroups with distinct transcriptomic profiles by Wasana Yuwattana, Thanit Saeliw, Marlieke Lisanne van Erp, Chayanit Poolcharoen, Songphon Kanlayaprasit, Pon Trairatvorakul, Weerasak Chonchaiya, Valerie W. Hu, Tewarit Sarachana

“…Analysis of ADI-R scores from a large cohort of 2794 individuals demonstrated that deep learning models could achieve exceptional screening accuracy of 95.23% (CI 94.32–95.99%). …”
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Infrared Small Target Detection Based on Approximate Background Regularization and Bimodal Slice Based Graph Constraints by Xiaoling Ge, Zipeng Fu, Xuelian Yu, Weixian Qian, Kan Ren, Minjie Wan, Guohua Gu

“…Low-rank decomposition models excel in small target detection due to their strong background separation. …”
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