Remote Sensing Image Segmentation Using Vision Mamba and Multi-Scale Multi-Frequency Feature Fusion by Yice Cao, Chenchen Liu, Zhenhua Wu, Lei Zhang, Lixia Yang

“…Experimental results on benchmark RS datasets demonstrate that CVMH-UNet achieves state-of-the-art segmentation accuracy with optimal computational efficiency, surpassing existing advanced methods.…”
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Outcomes of Sutureless Iris-Claw Lens Implantation by Tomasz Choragiewicz, Robert Rejdak, Andrzej Grzybowski, Katarzyna Nowomiejska, Joanna Moneta-Wielgoś, Małgorzata Ozimek, Anselm G. M. Jünemann

“…Methods. Retrospective study of case series. The Haigis formula was used to calculate intraocular lens power. …”
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Masked pre-training of transformers for histology image analysis by Shuai Jiang, Liesbeth Hondelink, Arief A. Suriawinata, Saeed Hassanpour

“…Vision transformer (ViT) models have recently emerged as a promising method for encoding large regions of WSIs while preserving spatial relationships among patches. …”
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Immediate and long-term results of laparoscopic hernioplasty in inguinal hernias with and without mesh endoprosthesis fixation by O. V. Zaitsev, A. V. Koshkina, D. A. Khubezov, V. A. Yudin, V. V. Barsukov, I. Yu. Bragina

“…The objective of this study was to conduct comparative analysis of the immediate and long-term results of laparoscopic inguinal hernioplasty performed with and without fixation of the mesh endoprosthesis.Methods and materials. The base group included 77 patients who underwent laparoscopic inguinal hernioplasty without fixation of the mesh by herniostepler. …”
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A New Nomogram to Predict Spontaneous Pregnancy after Laparoscopy Combining Hysteroscopy in Women with Minimal to Mild Endometriosis-Associated Infertility by Bin Luo, Tianjiao Pei, Xin Huang, Wei Huang

“…Conclusions: We suggest that laparoscopy combined with hysteroscopy may offer better fertility outcomes to patients with minimal to mild endometriosis-associated infertility. The nomogram visualized the points of variate in the generalized linear model may provide a simple and convenient method for clinicians in making decisions for individual patients.…”
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WeatherClean: An Image Restoration Algorithm for UAV-Based Railway Inspection in Adverse Weather by Kewen Wang, Shaobing Yang, Zexuan Zhang, Zhipeng Wang, Limin Jia, Mengwei Li, Shengjia Yu

“…Experimental results show that WeatherClean outperforms existing methods by effectively removing noise particles while preserving image details. …”
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GDPGO-SAM: An Unsupervised Fine Segmentation of Desert Vegetation Driven by Grounding DINO Prompt Generation and Optimization Segment Anything Model by Shuzhen Hua, Biao Yang, Xinchang Zhang, Ji Qi, Fengxi Su, Jing Sun, Yongjian Ruan

“…However, traditional ground-based statistical methods are resource-intensive and time-consuming. …”
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The Effects of Aromatherapy With Clove and Lavender on Headache Caused by Spinal Anesthesia in Patients Undergoing Urological Surgery: A Randomized Clinical Trial Study by Mahlagha Dehghan, Atena Samareh Fekri, Niloofar Rashidipour, Naeimeh Naeimi Bafghi, Ali Maghfouri, Mohamadreza Ebadzadeh

“…Participants were selected using a convenience sampling method and randomly divided into intervention and control groups. …”
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Enhanced Collaborative Edge Intelligence for Explainable and Transferable Image Recognition in 6G-Aided IIoT by Chen Chen, Ze Sun, Jiale Zhang, Junwei Dong, Peng Zhang, Jie Guo

“…This paper proposes a novel method, IRCE (Intelligent Recognition with Collaborative Edges), designed to enhance the explainability and transferability in 6G-aided IIoT image recognition. …”
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Breaking Barriers in Thyroid Cytopathology: Harnessing Deep Learning for Accurate Diagnosis by Seo Young Oh, Yong Moon Lee, Dong Joo Kang, Hyeong Ju Kwon, Sabyasachi Chakraborty, Jae Hyun Park

“…Background: We address the application of artificial intelligence (AI) techniques in thyroid cytopathology, specifically for diagnosing papillary thyroid carcinoma (PTC), the most common type of thyroid cancer. Methods: Our research introduces deep learning frameworks that analyze cytological images from fine-needle aspiration cytology (FNAC), a key preoperative diagnostic method for PTC. …”
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The ZJU index is associated with the risk of sarcopenia in American adults aged 20–59: a cross-sectional study by Jia-qi Hao, Shu-yue Hu, Zi-xuan Zhuang, Jia-wan Zhang, Meng-rui Xiong, Rui Wang, Wen Zhuang, Mo-jin Wang

“…Abstract Background The ZJU index is an innovative computational method which integrates BMI, FBG, TG, and ALT to AST ratio. …”
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Fungal corneal ulcer complicated by endophthalmitis: clinical and laboratory diagnostics, treatment tactics by L. A. Kovaleva, G. I. Krichevskaya, P. V. Maкarov, A. O. Petrova, S. V. Flora, I. D. Zyurnyayeva, A. E. Andryushi, O. I. Markelova

“…Conservative therapy and total penetrating keratoplasty (PKP) helped retain the eye in 13 out of 15 patients (86.7 %) and partially restore the visual functions.Conclusion. Rapid laboratory diagnosis of ophthalmomycosis using PCR offers an advantage over the culturing technique: the results are ready within 2.5 hours instead of 10-14 days (culture method); it is highly sensitive and allows identifying the fungi not only in the tissue of the removed cornea, but also in the сorneal scrapings. …”
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A survival prediction network based on multi-scale hypergraph enhancement and cross-modal refinement by Chaofeng Yang, Yongjie Liang, Fan Qin, Yulong Cao, Peiyuan Wang, Jiaying Fan, Bizhong Wei

“…This paper proposes a survival prediction network based on multi-scale hypergraph enhancement and cross-modal refinement (MSHG-CMR), which achieves deep joint modeling and efficient information fusion of pathological images and multi-omics data by integrating multi-scale hypergraph enhancement and cross-modal refinement Transformer technology. In the method design, the hypergraph construction module captures high-order feature associations of pathological images at different resolutions and effectively aligns feature distributions across scales through homomorphic nonlinear mapping; subsequently, the cross-modal refinement Transformer module based on rotary encoding achieves dynamic information transfer and complementary refinement between visual features and multi-omics data through attention mechanisms and position decay designs; finally, a feature fusion attention mechanism is introduced to fuse multi-modal features, which both suppresses inter-modal redundancy and effectively mitigates information conflicts, thereby enhancing the precision of individualized prognosis analysis. …”
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Understanding walkability criteria in high-density communities: a case study in Alexandria, Egypt by Maye Yehia, Yasmin Kandil, Noha A. Fouad

“…The methodology consists of developing detailed walkability criteria by studying urban qualities related to three dimensions: morphological/visual, functional, and social. Each urban quality is analyzed by stating its definition, assessment method and studying its condition in high-density communities. …”
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Enhancing knee osteoarthritis diagnosis with DMS: a novel dense multi-scale convolutional neural network approach by Di Zhang, Yuting Dong, Yao Xu, Junhui Qian, Miaoyu Ye, Qiang Yuan, Jian Luo

“…., posing a challenge in diagnosis which is often reliant on time-consuming and error-prone visual analysis by physicians. There is a critical need for an automated, efficient, and accurate diagnostic method to improve early detection and treatment. …”
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Flow Dispersion for Obtaining Ivermectin Encapsulated in Polycaprolactone Microparticles by O. I. Rybchenko, V. V. Suslov, S. A. Kedik, Yu. M. Domnina, A. I. Mogaibo

“…Determination of the average particle size and size distribution was carried out by the method of laser diffraction. Microscopy was used to visually assess the shape and size of the microparticles. …”
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Klasifikasi Kualitas Biji Kedelai Menggunakan Transfer Learning Convolutional Neural Network Dan SMOTE by Amanda Prawita Ningrum, Sri Winarno, Vincentius Praskatama

“…To address this issue, a soybean seed quality classification system was developed using the method of Transfer Learning with CNN and SMOTE. This method leverages the ability of neural networks for extracting of the visual features and handle for data imbalance between classes. …”
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La langue, matière à machines by Pierre Thévenin, Emmanuel Ducourneau, Anthony Stavrianakis

“…A designer seeks to apply his “onto-cartographic” method beyond an original application to industrial design objects. …”
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Numerical Solutions of Fuzzy Linear Fractional Differential Equations With Laplace Transforms Under Caputo-Type H-Differentiability by Ekhtiar Khodadadi, Mesut Karabacak, Ercan Çelik

“…These solutions exhibit the usefulness and effectiveness of our method in providing accurate and reliable solutions to FLFDEs. …”
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Kahoot! as innovation gamification for examination by Efrilla Niza, Aura Salsabilah Ardian

“…is a learning innovation with a gamification method in the form of a platform. This study used a literature review method based on various research results that discuss the implementation of learning using web-based media. …”
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