Cadmium accumulation in wheat grain: Accumulation models and soil thresholds for safe production by Lu Lin, Xiaopeng Zhao, Yumeng Li, Jingbo Ling, Jinghua Ren, Qilin Liao, Dongmei Zhou, Xueyuan Gu

“…The high cadmium (Cd) accumulation ability of wheat has garnered significant attention in China. …”
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A Machine Learning Approach for Differential Diagnosis of Vascular and Non-Vascular Intracranial Hemorrhage in Non-Contrast CT Images by Sahar Faraji, Bita Abbasi, Amin Amiri Tehranizadeh, Zeinab Naseri, Lida Jarahi, Fatemeh Khojasteh Rahimi, shahrokh Nasseri, Azadeh Hashemi

“…This study aims to develop a new framework for automatic and accurate diagnosis of ICH and the ability of machine learning to differentiate vascular and non-vascular causes of Intracranial hemorrhages based on CT scan images without contrast material. …”
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A Transfer Learning Approach for Landslide Semantic Segmentation Based on Visual Foundation Model by Changhong Hou, Junchuan Yu, Daqing Ge, Liu Yang, Laidian Xi, Yunxuan Pang, Yi Wen

“…However, the lack of remote sensing images in the SAM training data limits its ability to recognize landslides. In addition, despite the transfer learning approach can transfer SAM feature extraction capability to the landslide segmentation task, but it will consume a lot of computational resources and training time. …”
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Development with external validation of a prediction model for postoperative acute kidney injury following noncardiac surgery in elderly patients by Xiaoying Zhang, Xianghan Ruan, Yao Yu, Tongyan Sun, Jiaqiang Zhang, Xuhui Cong, Jingsheng Lou, Hao Li, Jiangbei Cao, Yanhong Liu, Weidong Mi

“…Interventions and measurements The endpoint was PO-AKI within seven days post-surgery, diagnosed using the KDIGO criteria. Data were extracted from electronic medical records for model derivation and validation. …”
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The Influence of Gender of Senior Researchers on Research Practice in Sports and Exercise Science and Medicine by Dalya Jankelowitz, Kemi Wright, Emma Suzuki, Tea Maros, Anurag Pandit, Michael A. Wewege, Matthew D. Jones, Briana Clifford, Alexander Engel, Amanda D. Hagstrom

“…However, underrepresentation of women senior authors limits our ability to draw gendered comparisons and firm conclusions.…”
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Effect of cyclophosphamide on regulation of heart contractions by means of sodium calcium exchanger by Tatyana A. Berezhnova, Ivan P. Moshurov, Yang Baofeng, Chaoqian Xu, Irina V. Kovalenko, Vladimir V. Alabovsky, Alexey A. Vinokurov, Oleg V. Maslov, Yana V. Kulintsova

“…Decapitation of the animal was performed under ether anesthesia with rapid extraction of the heart and perfusion using the Langendorff method. …”
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A cost-effective image-based model without constraint for weight estimation of poultries using deep learning by Zhi Qiao, Jianhui Liu, Fangxi Yang, Jinping Hao, Zhuocheng Hou, Hui Li, Feng Zhu

“…The ability to accurately measure body weight phenotypes is paramount to the principles of precision livestock farming. …”
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Effectiveness of Topiramate Versus Acetazolamide in the Management of Idiopathic Intracranial Hypertension: ASystematic Review and Meta-Analysis by Abdullah Almaqhawi, Alia Alokley, Reham Alamri, Razan Alabdulqader, Ahmad Alali, Ayat Aleid, Amani Alhejji, Maryam N. ALNasser

“…Topiramate aids in weight reduction, while acetazolamide is recommended for its ability to lower CSF pressure and alleviate visual changes. …”
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Analysis of the sensitization activity of Moringa oleifera leaves protein by Juan Lu, Juan Lu, Xiaoxue Liu, Xiaoxue Liu, Wenjie Li, Wenjie Li, Chuyu Xi, Chuyu Xi, Dan Feng, Dan Feng, Shuang Song, Shuang Song

“…The determination of allergenic proteins in Moringa oleifera leaves, which is the main components of immune activity, has enabled the development of a more effective method for evaluating the activity of extracted Moringa oleifera leaves protein. In this study, the extraction process of Moringa oleifera leaves protein was optimized based on a single factor experiment. …”
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Online evaluation method for MMC submodule capacitor aging based on CapAgingNet by Xinlan Deng, Youhan Deng, Liang Qin, Weiwei Yao, Min He, Kaipei Liu

“…Subsequently, the CapAgingNet model is introduced, incorporating key technical modules to enhance performance: the Deep Stem module, which extracts larger receptive fields through multiple convolution layers and mitigates the impact of data sparsity in capacitor aging on feature extraction; the efficient channel attention (ECA) module, utilizing one-dimensional convolution for dynamic weighting to adjust the importance of each channel, thereby enhancing the ability of the model to process high-dimensional features in capacitor aging data; and the multiscale feature fusion (MSF) module, which integrates capacitor aging information across different scales by combining fine-grained and coarse-grained features, thus improving the capacity of the model to capture high-frequency variation characteristics. …”
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Lipid metabolism indicators provide tools for the diagnosis of non-alcoholic fatty liver disease: results of a nationwide survey by Yongxin Wang, Chang Fu, Hengwei Jin, Yibo Yang, Xiaocong Li, Xiaocong Li, Kai Liu

“…The aim of this study is to investigate the effectiveness of these lipid-related parameters in diagnosing NAFLD and to compare their predictive abilities.MethodsThis population-based study extracted datasets from the National Health and Nutrition Examination Survey (NHANES) 2017–2020. …”
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Large Pretrained Foundation Model for Key Performance Indicator Multivariate Time Series Anomaly Detection by Xu Wang, Qisheng Xu, Kele Xu, Ting Yu, Bo Ding, Dawei Feng, Yong Dou

“…This scarcity limits the models' ability to learn and generalize effectively within this specific domain. …”
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Unmasking the Fake: Machine Learning Approach for Deepfake Voice Detection by Muhammad Usama Tanveer Gujjar, Kashif Munir, Madiha Amjad, Atiq Ur Rehman, Amine Bermak

“…We present an advanced method for deepfake voice detection, leveraging a custom model named MFCC-GNB XtractNet. By extracting Mel-Frequency Cepstral Coefficients (MFCC) from audio samples which serve as the foundational features for identifying genuine and fake voices. …”
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Symptomatic Recovery from Concussion in Military Service Members with and Without Associated Bodily Injuries by Jan Elizabeth Kennedy, Joseph Booth Warren, Lisa Hsiao-Jung Lu, Cristina Yvette Lawrence, Matthew Wade Reid

“…The current investigation evaluates each of these hypothesized reasons for the earlier findings and the generalizability of the findings to a more recent sample. Data were extracted from 165 SMs in a TBI repository at a U.S. military medical center. …”
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GradCAM-PestDetNet: A deep learning-based hybrid model with explainable AI for pest detection and classification by Ramitha Vimala, Saharsh Mehrotra, Satish Kumar, Pooja Kamat, Arunkumar Bongale, Ketan Kotecha

“…The GradCAM-PestDetNet methodology utilizes object detection models like YOLOv8m, YOLOv8s and YOLOv8n, alongside transfer learning techniques such as VGG16, ResNet50, EfficientNetB0, MobileNetV2, InceptionV3 and DenseNet121 for feature extraction. Additionally, Vision Transformers (ViT) and Swim Transformers were explored for their ability to process complex data patterns. …”
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Potential of Chinese Yam (Dioscorea polystachya Turczaninow) By-Product as a Feed Additive in Largemouth Bass (Micropterus salmoides): Turning Waste into Valuable Resources by Mingshi Chen, Yang Liu, Xiaoxue Bao, Yuhua Yue, Binbin Tong, Xionghui Yang, Hui Yu, Ying Yang, Yuhong Liu, Yingying Yu

“…Chinese yam (Dioscorea polystachya Turczaninow) by-product produced in the water extraction process is commonly directly discarded resulting in a waste of resources and environmental pollution. …”
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Multi-spatial-attention U-Net: a novel framework for automated gallbladder segmentation on CT images by Henan Lou, Xiaobo Wen, Fanxia Lin, Zhan Peng, Qiuxiao Wang, Ruimei Ren, Junlin Xu, Jinfei Fan, Hao Song, Xiaomeng Ji, Huiyu Wang, Xiangyin Sun, Yinying Dong

“…Our proposed MSAU-Net model was transformed into two versions V1(with one Multi-Scale Feature Extraction and Fusion (MSFEF) module in each MSA block) and V2 (with two parallel MSEFE modules in each MSA blcok). …”
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Forecasting of the Geomagnetic Activity for the Next 3 Days Utilizing Neural Networks Based on Parameters Related to Large‐Scale Structures of the Solar Corona by Tingyu Wang, Bingxian Luo, Jingjing Wang, Xianzhi Ao, Liqin Shi, Qiuzhen Zhong, Siqing Liu

“…To forecast SIR‐driven storms over longer horizons (3 days), a neural network model is constructed by incorporating coronal magnetic field physical parameters and the coronal hole features extracted from solar images (Pch). We first select the appropriate combination of coronal magnetic parameters for forecasting geomagnetic indices. …”
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Prediction of black soldier fly larval sex and morphological traits using computer vision and deep learning by Sarah Nawoya, Quentin Geissmann, Henrik Karstoft, Kim Bjerge, Roseline Akol, Andrew Katumba, Cosmas Mwikirize, Grum Gebreyesus

“…The study explores algorithms utilizing You-Only-Look-Once (YOLOv8) in detection and segmentation, ResNet for feature extraction and classification, and regression analysis mechanisms. …”
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A Hybrid Deep Learning Model for Network Intrusion Detection System Using Seq2Seq and ConvLSTM-Subnets by S. Hariharan, Y. Annie Jerusha, G. Suganeshwari, S. P. Syed Ibrahim, Uday Tupakula, Vijay Varadharajan

“…This enables the model to leverage the spatial feature extraction capabilities of Convolutional Neural Networks (CNN) alongside the sequential learning strengths of LSTM networks. …”
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