Clinicopathological profile of gastrointestinal lymphomas in Kashmir by Mehnaaz Sultan Khuroo, Summyia Farooq Khwaja, Ajaz Rather, Zhahid Hassan, Ruby Reshi, Naira Sultan Khuroo

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Transfer Learning Based on Multi-Branch Architecture Feature Extractor for Airborne LiDAR Point Cloud Semantic Segmentation with Few Samples by Jialin Yuan, Hongchao Ma, Liang Zhang, Jiwei Deng, Wenjun Luo, Ke Liu, Zhan Cai

“…The experimental results show that the proposed method achieved the highest OA of 85.5% and an average F1 score of 74.0% using only 10% training samples, which means the proposed framework can reduce manual annotation by 90% while keeping competitive classification accuracy.…”
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Medical expenditure of women during pregnancy, childbirth and puerperium at the beginning of China’s universal two-child policy enactment: a population-based retrospective study by Xin Wang, Ying Zhang, Yu Chen, Shuang Zang, Meizhen Zhao, Yalan Zhu

“…Reducing medical expenditure by shortening the length of stay could be a feasible way to effectively address the issue of cost in women during pregnancy, childbirth and puerperium.…”
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Advanced AI techniques for classifying Alzheimer’s disease and mild cognitive impairment by Sophie Tascedda, Sophie Tascedda, Sophie Tascedda, Pierfrancesco Sarti, Pierfrancesco Sarti, Veronica Rivi, Claudia Savia Guerrera, Giuseppe Alessio Platania, Mario Santagati, Filippo Caraci, Filippo Caraci, Johanna M. C. Blom, Johanna M. C. Blom

“…MLPs and GATs are used to analyse discrete data points for tasks such as classification and regression. Each model was evaluated on accuracy, precision, and recall.ResultsThe AI models provide an objective basis for comparing patient data with reference populations. …”
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Carbon Dot-Based Nanoparticles: A Promising Therapeutic Approach for Glioblastoma by Wang Y, Wu H, Guo Y, Li F, Zhang H

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Domain adaptation of deep neural networks for tree part segmentation using synthetic forest trees by Mitch Bryson, Ahalya Ravendran, Celine Mercier, Tancred Frickey, Sadeepa Jayathunga, Grant Pearse, Robin J.L. Hartley

“…Supervised deep learning algorithms have recently achieved state-of-the-art performance in the classification, segmentation and analysis of 3D LiDAR point cloud data in a wide-range of applications and environments. …”
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A Spatial–Frequency Combined Transformer for Cloud Removal of Optical Remote Sensing Images by Fulian Zhao, Chenlong Ding, Xin Li, Runliang Xia, Caifeng Wu, Xin Lyu

“…These approaches lead to edge blurring and noticeable color distortions. To address this issue, we propose a spatial–frequency collaborative enhancement Transformer network named SFCRFormer, which significantly improves cloud removal performance. …”
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Quantification of Tobacco Leaf Appearance Quality Index Based on Computer Vision by Tiannan Wu, Yunwei Zhang, Zewu Gong, Dongfeng Lu

“…The average accuracy of tobacco leaf position classification was 88.52% under the six classifiers. …”
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The association of donor and recipient sex on sepsis rates and hemoglobin increment among critically ill patients receiving red cell transfusions in a retrospective study by Wenhui Li, Yang Liu, Kayla J. Lucier, Nancy M. Heddle, Jason P. Acker

“…Hb increments were determined by comparing the last Hb result in the 24‐h period prior to RBC unit issue and the first Hb result within 4–24 h after RBC unit issued for transfusion. …”
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Differentiating Emphysema From Emphysema-Dominated COPD Patients with CT Imaging Feature and Machine Learning by Guo W, Li M, Li Y, Fan X, Wu L

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Out-of-distribution reject option method for dataset shift problem in early disease onset prediction by Taisei Tosaki, Eiichiro Uchino, Ryosuke Kojima, Yohei Mineharu, Yuji Okamoto, Mikio Arita, Nobuyuki Miyai, Yoshinori Tamada, Tatsuya Mikami, Koichi Murashita, Shigeyuki Nakaji, Yasushi Okuno

“…We expect that this classification will help standardize measuring instruments. …”
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Two-dimensional QSAR-driven virtual screening for potential therapeutics against Trypanosoma cruzi by Naseer Maliyakkal, Sunil Kumar, Ratul Bhowmik, Harish Chandra Vishwakarma, Prabha Yadav, Bijo Mathew

“…Trypanosoma cruzi is the cause of Chagas disease (CD), a major health issue that affects 6–7 million individuals globally. …”
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The risks of internet addiction: Structure and characteristics of perception by G. F. Romashkina, R. R. Khuziakhmetov

“…In the course of analysis, Alpha Cronbach consistency ratings, index method, Spearman’s rank correlation coefficients, Pearson’s Goodness-of-Fit Test, F-Test for equality of several means, case classification and triangulation method were applied.Results. …”
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YOLOv5-MDS: Target Detection Model for PCB Defect Inspection Based on YOLOv5 Integrated With Mamba Architecture by Deming Guo, Qi Xi, Long Zhang, Jing Wang, Yilong Ye, Ziyi Zeng

“…Existing methods struggle to effectively detect these minute and scattered defects, especially in the context of industrial production, where high accuracy and speed are paramount. To address this issue, YOLOv5-MDS has been proposed, a convolutional neural network (CNN) specifically designed for image segmentation and classification. …”
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Analysis of the Current Status of Self-Management Behaviors and Factors Affecting Self-Management in Elderly Empty Nesters with Comorbid Hypertension and Type 2 Diabetes Mellitus,... by Li F, Cao Y, Xie X, Li M, Cheng T

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Integrating Sentiment Analysis With Machine Learning for Cyberbullying Detection on Social Media by Maram Fahaad Almufareh, Noor Zaman Jhanjhi, Mamoona Humayun, Ghadah Naif Alwakid, Danish Javed, Saleh Naif Almuayqil

“…A viable approach to addressing this pervasive issue lies in the accurate identification of cyberbullying within social media as it constitutes a substantial portion of digital interactions. …”
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Optimizing IoT intrusion detection with cosine similarity based dataset balancing and hybrid deep learning by Arvind Prasad, Wael Mohammad Alenazy, Naved Ahmad, Gauhar Ali, Hanaa A. Abdallah, Sadique Ahmad

“…Additionally, we developed a hybrid deep learning model integrating RegNet and FBNet architectures to enhance feature extraction and classification performance. Experimental results on multiple IDS datasets confirm that balancing the dataset to a 1:1 ratio optimally prevents overfitting and improves model interpretability. …”
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Long-term prognosis of intracorporeal versus extracorporeal anastomosis in stage II/III colorectal cancer (INEX study): study protocol for a multicenter randomized controlled trial... by Marie Hanaoka, Hiroyasu Kagawa, Megumi Ishiguro, Akihiro Hirakawa, Masanori Tokunaga, Yusuke Kinugasa

“…Colon resection will include D2 or D3 lymph node dissection, in accordance with the Japanese Classification of Colorectal Carcinoma. The primary endpoint is relapse-free survival, with long-term follow-up planned. …”
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On the black-box explainability of object detection models for safe and trustworthy industrial applications by Alain Andres, Aitor Martinez-Seras, Ibai Laña, Javier Del Ser

“…Explainable Artificial Intelligence methods aim to address this issue, but many existing techniques are model-specific and designed for classification tasks, making them less effective for object detection and difficult for non-specialists to interpret. …”
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High-precision lung cancer subtype diagnosis on imbalanced exosomal data via Exo-LCClassifier by Siyu Zhan, Siyu Zhan, Hao Yu, Shuang Liu, Ke Qin, Lu Guo

“…Next, the enhanced WGAN was applied to augment the dataset, addressing the issue of sample imbalance and increasing the diversity of effective samples. …”
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