An exploration of the spatial and temporal factors influencing industrial park vitality using multi-source geospatial data by Xiao Ding, Fang Zheng, Guifen Lyu, Botao Feng

“…NDVI, diversified land use, motor vehicle diversity, enclosure and image quality contribute to increased vitality across all commercial areas, whereas the intersection density, subway stop and openness are associated with decreased vitality in these areas. …”
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Alternative technique for preliminary impression in edentulous patients by Tarcisio Paes-Junior, Anna Karina Figueiredo Costa, Alexandre Luiz Souto Borges, Lucas Daniel da Cunha

“…These models received three metal spheres on surface with two positioned on the crest of the alveolar ridge (spheres 1 and 2) and other one perpendicular to the intersection of the midpalatal suture (sphere 3) and impression was performed using alginate. …”
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MSHRNet: a multi-scale high-resolution network for land cover classification from high spatial resolution remote sensing images by Fang Chen, Zhihui Ou, Congrong Li, Lei Wang, Bo Yu

“…Evaluated on the GID and Huawei Ascend Cup AI + Remote Sensing Image Competition datasets, MSHRNet demonstrates robustness with a mean Intersection over Union (mIoU) of 82.45% and 72.26%, respectively, and surpasses nine recently published models by at least 1.52% and 1.01% mIoU. …”
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Date Fruit Detection and Classification Based on Its Variety Using Deep Learning Technology by Ahad Almutairi, Jawza Alharbi, Shouq Alharbi, Haifa F. Alhasson, Shuaa S. Alharbi, Shabana Habib

“…Based on the experimental results, YOLOv8 achieves a mean Recall of 0.99 % and Precision of 0.991% with an Intersection over Union (IoU) colorred in the range of [0-1], a mean Average Precision of 0.994%, a mean Average Precision of [0.5:0.95] and a mean Average Precision of [0.5:0.85]. …”
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Relationship between history of falls and foot pressure centre parameters during gait and stance in patients with lower-limb osteoarthritis by Yuya Mawarikado, Yosuke Uchihashi, Yusuke Inagaki, Munehiro Ogawa, Yoshinobu Uchihara, Naoto Seriu, Yukako Ishida, Yasuyo Kobayashi, Asuka Sakata, Keiji Nogami, Midori Shima, Yasuhito Tanaka, Akira Kido

“…Compared with the non-fall group, the fall group exhibited significant posterior displacement of the COP intersection during gait (p = 0.001). In hip OA patients, significant age, anterior‒posterior symmetry, and variability differences were observed. …”
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M2Caps: learning multi-modal capsules of optical and SAR images for land cover classification by Haodi Zhang, Anzhu Yu, Kuiliang Gao, Xuanbei Lu, Xuefeng Cao, Wenyue Guo, Weiqi Lian

“…M²Caps outperformed state-of-the-art models, improving mean intersection over union (mIoU) by 2.86% – 12.9% on the WHU-OPT-SAR dataset and 3.91% – 12.3% on the GF-2 and GF-3 Pohang datasets, demonstrating its effectiveness in high-precision LCC in complex environments.…”
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Improvement of surgical treatment of an acute biliary pancreatitis at elderly and senile patients by V. I. Midlenko, A. L. Charyshkin, O. V. Midlenko, I. I. Midlenko, V. Yu. Shchegolev

“…To estimate various variants of surgical treatment of acute biliary pancreatitis at patients of over 60 years old, to develop a method of cholecystectomy at the large Hartmann pouch adherent to biliary tracts, to decrease such complications, as bleeding, bile leakage, damage (intersection) of common bile or common hepatic duct.Material and methods. …”
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WGCNA combined with machine learning for analysis of diagnostic markers of preeclampsia associated with the hedgehog signaling pathway by Xiaofeng Wang, Yichi Xu, Junpeng Dong, Jinwen Zhang, Wei Gu, Xiaoli Qin

“…WGCNA was utilized to identify Hh pathway-related genes. Following the intersection of the two genes, key genes were screened by using LASSO, SVM-RFE, and RF. …”
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An oxidative stress related gene signature predicts prognosis in cholangiocarcinoma by Han Fan, Peng Qiu, Yun Lu, Zhengdong Deng, Li Tian

“…Methods Using data from 66 tumors and 36 control samples obtained from the TCGA and GEO databases, we identified 3,632 differentially expressed genes (DEGs). Intersection with oxidative stress-related genes revealed 122 OSRGs, from which 10 key prognostic genes were selected through univariate Cox and LASSO regression analyses. …”
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AI microscope facilitates accurate interpretation of HER2 immunohistochemical scores 0 and 1+ in invasive breast cancer by Zong La, Jie Chen, Xunxi Lu, Chuanfen Lei, Fengling Li, Lin Zhao, Yuhao Yi

“…Model I achieved mean intersection over union (MIoU) scores of 0.879 and 0.880 at 20× and 40× magnifications, and Model II’s F1-scores were 0.866 and 0.878. …”
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FragMangro: A cross-domain zero-shot model for monitoring fragmented mangrove ecosystems by Ruoxin Zhang, Angela An, Mingcan Cen, Chong Zhang, Aimee Huangfu, Sunny Vinnakota, Shuxiang Song

“…The results demonstrate that FragMangro achieves over 98% accuracy, an average F1 Score exceeding 85%, and the Intersection over Union(IoU) surpassing 74%, significantly outperforming conventional methods such as support vector machines (SVM), random forests (RF), and k-nearest neighbors (KNN). …”
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Multiscale Analysis of a Non-Supercell Tornado in Yunnan by Yixue DENG, Tiangui XIAO, Liyun XIAO

“…Based on reanalysis data， multi-source observation data， and Wenshan Doppler radar data， a study was conducted on the circulation background， environmental potential， evolution process， and formation mechanism of a EF0 tornado that occurred in Guangnan County， Wenshan Prefecture， Yunnan Province， in the afternoon of May 31， 2021.The results showed that： （1） The tornado occurred in the western flow at edge of subtropical anticyclone， the 700 hPa wind speed convergence region， and the 850 hPa shear line.There was a dry and cold air intrusion in the middle atmosphere， and having the necessary thermal and water vapor conditions for a tornado to occur.However， the dynamic conditions were not conducive to the occurrence of a tornado， that is， the low-level and deep vertical wind shear were significantly weaker than that of non-supercell tornadoes in the central and eastern regions of China.（2） Higher ground temperatures， water vapor boundaries on cloud images， and mesoscale convergence lines jointly triggered convective storms in southeastern Yunnan Province.Affected by complex terrain， the convective cells appeared to be split and strengthened， and continued to advance towards the Guangnan County， which has a higher elevation in the northwest.（3） The possible mechanism for the formation of the tornado is that the high ground temperature in the Guangnan Basin created convective instability， and the cold pool outflow below the convective cells on the eastern side of the basin entered the basin and expanded westward.The intersection of warm and cold air caused new cells to begin triggering along the convergence shear line， and the temperature difference between the cold pool and the surrounding environment below it was conducive to the formation of the tornado.Subsequently， the convective cells developed into a narrow and long shape along the terrain on the western side of the basin， then an initial vortex formed in the lower level of the storm.The topographic forcing enhanced the uplift motion above the initial vortex， causing it to tilt and stretch while increasing vorticity， ultimately forming this tornado.…”
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Re-Parameterization After Pruning: Lightweight Algorithm Based on UAV Remote Sensing Target Detection by Yang Yang, Pinde Song, Yongchao Wang, Lijia Cao

“…In addition, the focal and efficient intersection over union (FocalEIoU) is used to improve the regression performance of the algorithm and reduce the false-negative rate. …”
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Multi-scale attention-enhanced deep learning approach for detecting seven trunk pests and diseases in Shanghai’s urban plane trees by Tianyang Song, Guohua Hu, Tianci Yu, Xing Meng, Yanting Zhang, Ruiqing Yang, Benyao Wang, Xia Li

“…Trained on 3,983 annotated samples from Shanghai, the model achieved a 3.8% increase in mean Average Precision at a 50% Intersection over Union threshold (mAP50) and a significant reduction in missed detections compared to the baseline YOLOv8. …”
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Neuroeducation: understanding neural dynamics in learning and teaching by K. Pradeep, Rajalakshmi Sulur Anbalagan, Asha Priya Thangavelu, S. Aswathy, V. G. Jisha, V. S. Vaisakhi

“…Neuroeducation, an emerging interdisciplinary field at the intersection of neuroscience and education, investigates into the complex processes underpinning learning which offering novel insights and methodologies. …”
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Simplifying Two-Stage Object Detectors for On-Board Remote Sensing by Jaemin Kang, Hoeseok Yang, Hyungshin Kim

“…We apply a method to determine the threshold for positive anchors based on the intersection over union (IoU), with the k anchors closest to the object. …”
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Risk prediction in dental implants with bone substitutes using a hybrid neutrosophic-logistic model: Managing uncertainty in clinical and biomechanical variables by Mónica Sofía Pallo Sarabia, Darwin Josué Cubi Masaquiza, Favio Nicholas Zúñiga Calderón, Luis Miguel Acosta Rueda

“…Thus, while the traditional logistic regression can predict success or failure based on pure facts and findings, this neutrosophic intersection model improves risk assessment when information is lacking or subjectively fluctuating. …”
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Silkworm segmentation based on encoder-decoder structure by Huimin Zhuang, Zicheng Liu, Jianping Dong, Dequan Guo, Guoquan Yuan, Bo Liu, Yu Liu

“…Experimental results show that the improved model achieved an Intersection over Union (IoU) of 80.74 % and a Dice similarity coefficient (Dice) of 88.96 %, with an inference time of only 5.93 ms per image. …”
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OR-FCOS: an enhanced fully convolutional one-stage approach for growth stage identification of Oudemansiella raphanipes by Runze Fang, Huamao Huang, Nuoyan Guo, Haichuan Wei, Shiyi Wang, Haiying Hu, Ming Liu

“…Integrating the complete intersection over union (CIoU) loss function addresses standard IoU limitations by factoring in aspect ratio and bounding box center distance. …”
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NRWI: a novel spectral index optimized for waterbody extraction from high-resolution GF-2 satellite imagery by Peng Zhang, Shanchuan Guo, Hong Fang, Pengfei Tang, Cong Lin, Hui Yang, Biao Wang, Yanlan Wu

“…Validation using 1-m GF-2 imagery from 16 heterogeneous sites in Anhui Province, China, shows that NRWI achieves a mean Intersection over Union (IoU) of 0.788 (±0.096), outperforming NDWI by 0.211. …”
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