Feature engineering through two-level genetic algorithm by Aditi Gulati, Armin Felahatpisheh, Camilo E. Valderrama

“…Feature engineering can enhance the performance of interpretable models by identifying features that optimize classification. However, existing feature engineering methods face limitations: (1) they usually do not apply non-linear transformations to features, ignoring the benefits of non-linear spaces; (2) they usually perform feature selection only once, failing to reduce uncertainty through repeated experiments; and (3) traditional methods like minimum redundancy maximum relevance (mRMR) require additional hyperparameters to define the number of selected features. …”
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Features of the tissue repair process in urgent surgical abdominal pathology in combination with COVID-19 by A. P. Vlasov, O. V. Markin, V. V. Shchapov, I. I. Sitdikov, A. A. Zakharov, V. G. Shindakov, M. O. Babiker

“…The redox potential and oxygen diffusion coefficient in the group II were lower than the control figures by 9.8 – 37.2 % and 35.3 – 38.1 %, respectively. The number of complications according to the Clavien – Dindo classification in the group II of patients compared to the group I was more than 6 times higher.CONCLUSION. …”
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Performance Enhancement of Steady-State Visual Evoked Field-Based Brain–Computer Interfaces Incorporating MEG Source Imaging by Ye-Sung Kim, Hyojeong Han, Cheong-Un Kim, Soo-In Choi, Min-Young Kim, Chang-Hwan Im

“…Notably, the largest performance gains included a 13.9% accuracy improvement at a 3-s window size and a 13.1 bits/min increase in ITR at a 2.5-s window size. …”
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Influence of sacroiliac joint variation on clinical features of axial spondyloarthritis: a comparative analysis by Denis Poddubnyy, Torsten Diekhoff, Sevtap Tugce Ulas, Fabian Proft, Valeria Rios Rodriguez, Judith Rademacher, Juliane Greese, Katharina Ziegeler, Carolina Dominguez Aleixo, Maximilian Lindholz

“…Disease activity, assessed by BASDAI and symptom duration were similar in both groups (adjusted ß=−0.118 (95% CI -0.713, 0.476), p=0.696 and 120.0 (107.4) vs 116.5 (98.3) months, p=0.838, respectively). There was no significant difference in IBP between the groups (adjusted OR=0.614 (95% CI 0.274, 1.377), p=0.236). …”
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Comparative Quantitative and Discriminant Analysis of Wheat Flour with Different Levels of Chemical Azodicarbonamide Using NIR Spectroscopy and Hyperspectral Imaging by Hongju He, Yuling Wang, Shengqi Jiang, Jie Zhang, Jicai Bi, Hong Qiao, Leiqing Pan, Xingqi Ou

“…Twenty-four wavelengths selected from a NIR SG1D spectra in a 168/42 dataset and 23 from a raw HSI spectra in a 147/63 dataset allowed for the better performance of quantitative models in ADA determination with higher R²_V and RMSE_V in validation (R²_V > 0.98, RMSE_V < 3.87 mg/kg) and for discriminant models in WF classification with 100% accuracy. …”
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Double‐row suture‐bridge technique does not yield better clinical and radiological results than single‐row technique in patients older than 55 years at 2 years minimum follow‐up: A... by Vito Gaetano Rinaldi, Sassoli Iacopo, Federico Coliva, Antongiulio Favero, Alberto Bazzocchi, Marco Miceli, Stefano Di Paolo, Stefano Zaffagnini, Giulio Maria Marcheggiani Muccioli

“…Level of Evidence Level III.…”
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A noval identification of 4 systemic sclerosis - interstitial lung disease subgroups using principal component analysis-based cluster analysis by Yaqi Zhao, Baoting Chao, Wei Xu, Xinya Li, Jin Zhang, Ying Zhang, Zhenzhen Ma, Qingrui Yang

“…It is usually classified by histologic type, but this classification may not fully reflect the clinical phenotypic variation. …”
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ETAFHrNet: A Transformer-Based Multi-Scale Network for Asymmetric Pavement Crack Segmentation by Chao Tan, Jiaqi Liu, Zhedong Zhao, Rufei Liu, Peng Tan, Aishu Yao, Shoudao Pan, Jingyi Dong

“…Experimental results show that ETAFHrNet significantly outperforms existing methods—including U-Net, DeepLabv3+, and HRNet—in both segmentation accuracy and generalization ability. …”
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Leveraging machine learning and Landsat time series for high-resolution mapping of mining-induced vegetation changes in Ouagadougou, Burkina Faso by Oussama Himmy, Thanh Thi Nguyen, Katharina Salomea Hemmler, Safia Loulad, Hassan Rhinane, Andreas Buerkert

“…We conducted a binary classification of quarry and non-quarry using Landsat 9 images. …”
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Gray Brick Wall Surface Damage Detection of Traditional Chinese Buildings in Macau: Damage Quantification and Thermodynamic Analysis Method via YOLOv8 Technology by Liang Zheng, Jianyi Zheng, Yile Chen, Yuchan Zheng, Wei Lao, Shuaipeng Chen

“…The results indicate that the best-performing model (Model 3 at the 297th epoch) achieved a mAP of 61.51% and an F1 score up to 0.74 on the test set, with superior detection accuracy and stability. …”
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Comparing predictive risk to actual presence of coronary atherosclerosis on coronary computed tomography angiography by Emma Playford, Simon Stewart, Gerard Hoyne, Geoff Strange, Girish Dwivedi, Christian Hamilton-Craig, Gemma Figtree, David Playford

“…Results: 828 individuals (median age 58.6, IQR = 52.0, 65.3 years, 57 % male) met inclusion criteria, and a zero, low, moderate, and high CVRS was identified in 13, 483, 113 and 219 individuals (8 %, 49 %, 74 %, 66 % male), respectively. …”
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Increased prevalence of urticarial diseases and antihistamine/corticosteroid consumption in patients with attention-deficit/hyperactivity disorder by Ariel Israel, Shai Ashkenazi, Eugene Merzon, Ilan Green, Avivit Golan-Cohen, Eli Magen, Shlomo Vinker, Akim Geishin, Iris Manor, Abraham Weizman

“…Specifically, urticaria (5.00% vs 4.22%, OR (95% CI) 1.19 (1.10 to 1.30), p&lt;0.001), allergic urticaria (3.26% vs 2.73%, OR (95% CI) 1.20 (1.08 to 1.33), p&lt;0.001). …”
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Integrated analysis of single-cell and bulk transcriptomic data reveals altered cellular composition and predictive cell types in ectopic endometriosis by Meihong Chen, Meihong Chen, Liqun Wang, Yuanting Chen, Ting Wang, Guanqun Jiang, Qi Chen, Qi Chen

“…A comprehensive investigation of the cellular classification and composition of endometriosis is essential for studying its diagnosis and treatment.MethodsThis study utilized the Gene Expression Omnibus (GEO) public database and referenced single-cell RNA sequencing (scRNA-seq) atlases. …”
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Vision Sensor for Automatic Recognition of Human Activities via Hybrid Features and Multi-Class Support Vector Machine by Saleha Kamal, Haifa F. Alhasson, Mohammed Alnusayri, Mohammed Alatiyyah, Hanan Aljuaid, Ahmad Jalal, Hui Liu

“…., (i) poor lightning conditions; (ii) different viewing angles; (iii) intricate clothing styles; (iv) diverse activities with similar gestures; and (v) limited availability of large datasets. …”
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Stress distribution of restorations in external cervical root resorption under occlusal and traumatic loads: a finite element analysis by Padmapriya Ramanujam, Paul Kevin Abishek Karthikeyan, Vignesh Srinivasan, Selvakarthikeyan Ulaganathan, Velmurugan Natanasabapathy, Nandini Suresh

“…Methods Cone-beam computed tomography of an extracted intact incisor and created resorptive models (Patel’s 3D classification-2Bd and 2Bp) in the maxillary central incisor was performed for finite element models. …”
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Molecular detection of novel Jingmen tick virus in hard ticks from diverse hosts in Guangxi, southwestern China by Panyu Chen, Xihua Wei, Tengcheng Que, Tengyue Yan, Shousheng Li, Yanli Zhong, Yingjiao Li, Meihong He, Wenjian Liu, Yanling Hu

“…We detected genetic recombination of JMTV in segments 2, 3, and 4 of JMTV. Conclusions Our study uncovers a diverse tick fauna in Guangxi, including 4 genera and 6 species, and a broad virome with 13 viral families and 2 novel viruses. …”
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Metabolic landscape of clear cell renal cell carcinoma and search for metabolites predictive of drug response by Michinobu Ozawa, Sei Naito, Hideki Makinoshima, Hiromi Ito, Atsushi Tsuya, Takafumi Narisawa, Hiroki Fukuhara, Yuki Takai, Masaki Ushijima, Mayu Yagi, Hayato Nishida, Norihiko Tsuchiya

“…The aims of this study were to validate the metabolomic profile previously identified in ccRCC surgical specimens, to construct a metabolic classification in ccRCC, and to exploratorily investigate metabolic biomarkers of systemic therapy response. …”
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Photoprotective Effects of Quercetin and Hesperidin in Polymorphous Light Eruption: A Comparative Study with Alpha-Glucosylrutin by Yoon-Seo Choi, Sang-Hoon Park, Inhee Jung, Eun-Ju Park, Wonki Hong, Jin-Hee Shin, Won-Sang Seo, Jongsung Lee

“…Alpha-glucosylrutin (AGR), a chemically modified flavonoid widely used for its antioxidant and photoprotective effects, has shown clinical efficacy; however, its synthetic origin and classification as a potential skin sensitizer and aquatic toxin raise safety and environmental concerns. …”
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General Framework for Georeferencing and Interpretation of Multi-Resolution LiDAR Data for Fine-Scale Forest Inventory by H. Hanafy, S.-Y. Shin, A. M. Eissa, Y. Hany, S. Park, S. Fei, A. Habib

“…The proposed approach is evaluated in a plantation, demonstrating an F1-score of 100% for tree detection and a 3.1 cm root mean square error (RMSE) for DBH estimation. …”
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Thoracoscopic esophagectomy with subcarinal lymph node dissection in the prone position for esophageal cancer with a right superior pulmonary vein anomaly: a case report by Yu Onodera, Yusuke Taniyama, Tadashi Sakurai, Makoto Hikage, Chiaki Sato, Kai Takaya, Hiroshi Okamoto, Shota Maruyama, Takuro Konno, Michiaki Unno, Takashi Kamei

“…His clinical diagnosis based on the eighth TNM classification system was cT3 N2 M0 stage IIIB. In addition, an anomalous V2 was recognized on preoperative computed tomography imaging before the operation. …”
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