Detection and position evaluation of chest percutaneous drainage catheter on chest radiographs using deep learning. by Duk Ju Kim, In Chul Nam, Doo Ri Kim, Jeong Jae Kim, Im-Kyung Hwang, Jeong Sub Lee, Sung Eun Park, Hyeonwoo Kim

“…<h4>Purpose</h4>This study aimed to develop an algorithm for the automatic detecting chest percutaneous catheter drainage (PCD) and evaluating catheter positions on chest radiographs using deep learning.…”
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Neighborhood socioeconomic inequality and sarcopenia in community-dwelling older adults: a cross-sectional study by Xiangyu Zhai, Doris S. F. Yu

“…This study examined the association between neighborhood socioeconomic inequality and sarcopenia.Materials and Methods Data from three impact evaluation studies aimed at promoting healthy aging by using the WHO Integrated Care for Older People Model, tailored exercise training, and social prescribing strategies. …”
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Prediction of permeability and effective porosity values using ANN in Maleh field by Mohammed Essa Nassani, Ali Alaji

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GAT-Enhanced YOLOv8_L with Dilated Encoder for Multi-Scale Space Object Detection by Haifeng Zhang, Han Ai, Donglin Xue, Zeyu He, Haoran Zhu, Delian Liu, Jianzhong Cao, Chao Mei

“…According to the characteristics of space missions, an annotated dataset containing 8000 satellite and space station images is constructed, covering a variety of lighting, attitude and scale scenes, and providing benchmark support for model training and verification. Experimental results on the space object dataset reveal that the enhanced algorithm achieves a mean average precision (mAP) of 97.2%, representing a 2.1% improvement over the original YOLOv8_L. …”
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Incorporating genotype information in a precise prediction model for platinum sensitivity in epithelial ovarian cancer by Nai-Yi Du, Yan Li, Hui Zheng, Ya-Kun Liu, Lu-Sha Liu, Jianbang Xie, Shan Kang

“…Approximately 700,000 single-nucleotide polymorphism (SNP) sites were assessed for association with drug sensitivity via the Genome-wide Association Study (GWAS). …”
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Integrated Guidance and Control for Strap-Down Flight Vehicle: A Deep Reinforcement Learning Approach by Qinglong Zhang, Bin Zhao, Yifu Jiang, Jingyan Zhang, Jiale Zhang

“…Secondly, a channel-by-channel progressive training method based on the twin delayed deep deterministic policy gradient (TD3) algorithm is proposed. …”
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Verifiable Blockchain-Empowered Federated Learning for Secure Data Sharing in the Internet of Medical Things by Ping Guo, Shuilong Xu, Wenfeng Liang

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Implementation of Several Data Mining Strategies on Electronic Nose Data for Identifying Gluten in Cheese by Mohammad Nasiri-Galeh, Mahdi Ghasemi-Varnamkhasti

“…Data mining includes various algorithms such as classification, clustering, and obtaining association rules. …”
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TelescopeML. II. Convolutional Neural Networks for Predicting Brown Dwarf Atmospheric Parameters by Ehsan (Sam) Gharib-Nezhad, Hamed Valizadegan, Natasha E. Batalha, Miguel J. S. Martinho, Ben W.P. Lew

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Shaping embodied neural networks for adaptive goal-directed behavior. by Zenas C Chao, Douglas J Bakkum, Steve M Potter

“…Here, we embodied a simulated network, inspired by dissociated cortical neuronal cultures, with an artificial animal (an animat) through a sensory-motor loop consisting of structured stimuli, detailed activity metrics incorporating spatial information, and an adaptive training algorithm that takes advantage of spike timing dependent plasticity. …”
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Management preferences of orthopedic surgeons in rickets patients in Turkey: Results of a nationwide survey. by Banu Turhan, Niyazi Erdem Yaşar, Mehmet Ali Sungur, Yalçın Turhan, Şenol Bekmez

“…Establishing a standardized diagnostic and referral algorithm based on international guidelines and incorporating it into orthopedic training programs is strongly recommended.…”
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Application of Machine Learning Techniques to Distinguish between Mare, Cryptomare, and Light Plains in Central Lunar South Pole−Aitken Basin by Frank C. Chuang, Matthew D. Richardson, Jennifer L. Whitten, Daniel P. Moriarty, Deborah L. Domingue

“…To further discriminate between the two nonassociated units, the K-Means unit map and an LRO morphologic basemap were used to select multiple training areas for three defined units in the MLC algorithm: mare, cryptomare, and cryptomare/light plains. …”
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Predictability of Lifetime Nonsuicidal Self-injury by Symptoms of Sleep Disorders Using a Neural Network Model by Shakiba Rezaei, Azita Chehri, Saeede Sadat Hosseini, Mokhtar Arefi, Hassan Amiri

“…Both training and testing models predicted more than 85% of cases with NSSI correctly. …”
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Automatic standard plane and diagnostic usability classification in obstetric ultrasounds by Adam Lim, Mohamed Abdalla, Farbod Abolhassani, Wyanne Law, Benjamin Fine, Dafna Sussman

“…This dataset was categorized into 19 distinct classes associated with standard planes and further partitioned into training, validation, and testing subsets via a 60:20:20 stratified split. …”
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A METHOD OF ELIMINATING MALICIOUS PERTURBATIONS EMBEDDED BY L0-OPTIMIZED ATTACKS by Dmitry A. Yesipov, Nikita S. Sulimenko, Ilya Yu. Popov

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Hip arthroscopy for Legg-Calvè-Perthes disease in paediatric population by Ulunay Kanatli, Tacettin Ayanoglu, Mustafa Ozer, Muhammet Baybars Ataoglu, Mehmet Cetinkaya

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A data-efficient deep transfer learning framework for methane super-emitter detection in oil and gas fields using the Sentinel-2 satellite by S. Zhao, S. Zhao, Y. Zhang, Y. Zhang, S. Zhao, S. Zhao, X. Wang, X. Wang, D. J. Varon

“…We apply the algorithm trained with known sources to an unannotated region in the Algerian Hassi Messaoud oil field and reveal 34 anomalous emission events during a 1-year period, which are attributed to three methane super-emitters associated with production and transmission infrastructure. …”
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CT Radiomics Nomogram Prediction for Tumor Deposits and Prognosis in Colorectal Cancer by Manman LI, Yigang FU, Yong XIAO, Wang CHEN, Feng FENG, Guodong XU

“…Radiomics features based on the primary tumor site were extracted from portal venous phase CT images, and the least absolute shrinkage and selection operator (LASSO) algorithm was employed to select radiomics features associated with tumor deposits (TD). …”
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Psoas muscle CT radiomics-based machine learning models to predict response to infliximab in patients with Crohn’s disease by Zhuoyan Chen, Weimin Cai, Yuanhang He, Tianhao Mei, Yuxuan Zhang, Shiyu Li, Yiwen Hong, Yuhao Chen, Huiya Ying, Yuan Zeng, Fujun Yu

“…Z score standardization and independent sample t test were applied to identify optimal predictive features, which were then utilized in seven ML algorithms for training and validation. Model performance was assessed through receiver-operating characteristic curves, precision–recall curves, and calibration curve analyses, evaluating accuracy and clinical applicability. …”
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Preliminary Development of a Database for Detecting Active Mounting Behaviors Using Signals Acquired from IoT Collars in Free-Grazing Cattle by Miguel Guarda-Vera, Carlos Muñoz-Poblete

“…The algorithm achieves an average F1 Score of 88.6% for the World Frame of reference, showing a significant improvement compared to the algorithm trained with Body Frame (78.6%) when both are trained with the same 112 features. …”
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