The central regulatory circuit in the gene network controlling the morphogenesis of Drosophila mechanoreceptors: an <i>in silico</i> analysis by T. A. Bukharina, V. P. Golubyatnikov, D. P. Furman

“…It is distinguished from its surroundings by the highest content of proneural proteins (ASC), the products of the achaete-scute proneural gene complex (AS-C). The SOPC status is determined by the gene network we previously reconstructed and the AS-C is the key component of this network. …”
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Access control relationship prediction method based on GNN dual source learning by Dibin SHAN, Xuehui DU, Wenjuan WANG, Aodi LIU, Na WANG

“…With the rapid development and wide application of big data technology, users’ unauthorized access to resources becomes one of the main problems that restrict the secure sharing and controlled access to big data resources.The ReBAC (Relationship-Based Access Control) model uses the relationship between entities to formulate access control rules, which enhances the logical expression of policies and realizes dynamic access control.However, It still faces the problems of missing entity relationship data and complex relationship paths of rules.To overcome these problems, a link prediction model LPMDLG based on GNN dual-source learning was proposed to transform the big data entity-relationship prediction problem into a link prediction problem with directed multiple graphs.A topology learning method based on directed enclosing subgraphs was designed in this modeled.And a directed dual-radius node labeling algorithm was proposed to learn the topological structure features of nodes and subgraphs from entity relationship graphs through three segments, including directed enclosing subgraph extraction, subgraph node labeling calculation and topological structure feature learning.A node embedding feature learning method based on directed neighbor subgraph was proposed, which incorporated elements such as attention coefficients and relationship types, and learned its node embedding features through the sessions of directed neighbor subgraph extraction and node embedding feature learning.A two-source fusion scoring network was designed to jointly calculate the edge scores by topology and node embedding to obtain the link prediction results of entity-relationship graphs.The experiment results of link prediction show that the proposed model obtains better prediction results under the evaluation metrics of AUC-PR, MRR and Hits@N compared with the baseline models such as R-GCN, SEAL, GraIL and TACT.The ablation experiment results illustrate that the model’s dual-source learning scheme outperforms the link prediction effect of a single scheme.The rule matching experiment results verify that the model achieves automatic authorization of some entities and compression of the relational path of rules.The model effectively improves the effect of link prediction and it can meet the demand of big data access control relationship prediction.…”
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Association of Body Mass Index with Echocardiographic Parameters and Incidence of Left Atrial Thrombus or Spontaneous Echo Contrast in Patients with Nonvalvular Atrial Fibrillation... by Yi Qiu, Shu Jiang

“…A total of 282 patients who were diagnosed with NVAF and planned to undergo radiofrequency ablation from 2019 to 2022 were enrolled in this study. …”
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Pivotal roles of melanopsin containing retinal ganglion cells in pupillary light reflex in photopic conditions by Jeremy Matthew Bohl, Abdul Rhman Hassan, Zachary J. Sharpe, Megi Kola, Angela Shehu, Deborah Langrill Beaudoin, Tomomi Ichinose

“…We conducted PLR and multiple electrode array (MEA) recordings evoked by three levels of light stimuli before and 5 days after MNU intraperitoneal (i.p..) injection using C57BL6/J wildtype (WT) mice. …”
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A Mutation in IL4RA Is Associated with the Degree of Pathology in Human TB Patients by Christoph Hölscher, Lisa Heitmann, Ellis Owusu-Dabo, Rolf D. Horstmann, Christian G. Meyer, Stefan Ehlers, Thorsten Thye

“…To evaluate whether the human-like TB pathology in IL-13-overexpressing mice is specifically mediated through the IL-4Rα subunit, we analyzed IL-13 transgenic mice with a genetic ablation of the IL-4Rα. In these mice, the IL-13-mediated increased susceptibility, human-like pathology of collagen deposition around centrally necrotizing granulomas, and alternative macrophage activation were abolished. …”
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A central role for Foxp3+ regulatory T cells in K-Ras-driven lung tumorigenesis. by Courtney A Granville, Regan M Memmott, Andria Balogh, Jacopo Mariotti, Shigeru Kawabata, Wei Han, Jaclyn Lopiccolo, Jason Foley, David J Liewehr, Seth M Steinberg, Daniel H Fowler, M Christine Hollander, Phillip A Dennis

“…Foxp3+ cells were depleted using rapamycin, an antibody, or genetic ablation.<h4>Results</h4>Exposure of A/J mice to a tobacco carcinogen tripled lung-associated Foxp3+ cells prior to tumor development. …”
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A pre-clinical MRI-guided all-in-one focused ultrasound system for murine brain studies by Tarana Parvez Kaovasia, Sarah Duclos, Dinank Gupta, Kourosh Kalayeh, Mario Fabiilli, Douglas C. Noll, Jonathan Sukovich, Aditya Pandey, Zhen Xu, Timothy L. Hall

“…Abstract This paper describes the design and initial proof-of-concept of a single pre-clinical transcranial focused ultrasound (FUS) system capable of performing histotripsy (mechanical ablation), hyperthermia, blood-brain barrier opening (BBBO), sonodynamic therapy, or neuromodulation in a murine brain. …”
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A 3D Dual Encoder Mirror Difference ResU-Net for Multimodal Brain Tumor Segmentation by Qiwei Xing, Zhihua Li, Yongxia Jing, Xiaolin Chen

“…When evaluated on the BraTS 2018 and BraTS 2019 datasets, our model achieves impressive Dice similarity coefficient (DSC) values of 0.862, 0.925, and 0.905 for Enhanced tumor (ET), Whole tumor (WT), and Tumor core (TC) in the former, and 0.869, 0.922, and 0.916 in the latter, respectively.…”
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Network meta-analysis of the efficacy of endoscopic cardia peripheral tissue scar formation (ECSF) in the treatment of gastroesophageal reflux disease. by Chaoyi Shi, Shunhai Zhou, Xuanran Chen, Diyun Shen, Tianyue Wang, GeSang ZhuoMa, Mingzhi Feng, Yan Sun, Jun Zhang

“…Peroral endoscopic cardial constriction (PECC), antireflux mucosal intervention (ARMI), and radiofrequency ablation (RF) possess analogous antireflux mechanisms. …”
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Resnet-1DCNN-REA bearing fault diagnosis method based on multi-source and multi-modal information fusion by Xu Chen, Wenbing Chang, Yongxiang Li, Zhao He, Xiang Ma, Shenghan Zhou

“…Nevertheless, mechanical faults in bearings are intricate and subject to countless excitation disturbances, which poses a great challenge for accurate identification if only relying on feature extraction from single sensor input. …”
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Utilizing the Ellik bladder evacuator during cystoscopic retrieval of urocystoliths in 12 dogs by John Shamoun, Shelly L. Vaden, Allison R. Kendall, Patricia L. Secoura

“…In the other 5 procedures, additional interventions (ie, laser lithotripsy, percutaneous perineal approach, urethral stricture ballooning, ethanol parathyroid ablation) were performed as indicated with a median procedure duration 110 minutes (range, 42‐144). …”
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Visual-inertial navigation assisted by a single UWB anchor with an unknown position by Haolong Luo, Danping Zou, Jiansheng Li, Ancheng Wang, Li Wang, Zidi Yang, Guangyun Li

“…First, using Monte Carlo simulation and real-world experiments, we validated the effectiveness of the proposed methods for UWB anchor position and its accuracy estimation. Then, we conducted ablation experiments utilizing the open-source VIRAL and real-world datasets. …”
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Cuidado enfermero en adulto maduro con diabetes mellitus tipo 2 by Meliza Jhuly Maldonado Caqui, Anghella Melissa Nole Gálvez, Ana Cristina Rodríguez Huaytalla, Gian Marco Achanté Echegaray, Rosa María Pretell Aguilar

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Metastatic papillary thyroid carcinoma with internal jugular vein tumor thrombus - A case report and review of the literature by Zaina Adnan, Edmond Sabo, Sameer Kassem

“…Intraluminal tumor thrombus involving the great veins, such as the internal jugular vein (IJV), is an uncommon but significant complication. …”
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A Novel Network for Choroidal Segmentation Based on Enhanced Boundary Information by Wenbo Huang, Chaofan Qu, Yang Yan

“…Compared to the original TransUnet, BENet demonstrated an increase of nearly 5% in the Dice coefficient and 0.85% in accuracy. Ablation studies and results from multiple medical image datasets validate that BENet consistently delivers precise segmentation outcomes. …”
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Deep learning powered single-cell clustering framework with enhanced accuracy and stability by Yi Zhang, Xi Feng, Yin Wang, Kai Shi

“…Ablation studies are also conducted to validate the significant contributions of both the residual connections and the attention mechanism to the overall performance of the model. …”
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Multiscale Residual Weighted Classification Network for Human Activity Recognition in Microwave Radar by Yukun Gao, Lin Cao, Zongmin Zhao, Dongfeng Wang, Chong Fu, Yanan Guo

“…We demonstrated that our method achieves state-of-the-art performance. The ablation analysis also demonstrated the role of multi-scale convolutional kernels and time–channel weighting mechanisms in classification.…”
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TCBGY net for enhanced wear particle detection in ferrography using self attention and multi scale fusion by Lei He, Haijun Wei, Cunxun Sun

“…In addition, we conducted comprehensive ablation experiments, to validate the contribution of each module and the robustness of our model. …”
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Review of preclinical data on hyperthermia treatment in lymphomas and its potential for clinical application by Moritz V. Scharr, Frederik Damm, Paul Krahl, Anna Dieper, Paraskevi D. Veltsista, Alexander Hansch, Marcus Beck, Dominik Gerster, Anna-Chiara Giovannelli, Lars Bullinger, Daniel Zips, Pirus Ghadjar

“…Its effectiveness in treating solid malignancies has been well established. …”
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Large language models improve the identification of emergency department visits for symptomatic kidney stones by Cosmin A. Bejan, Amy M. Reed, Matthew Mikula, Siwei Zhang, Yaomin Xu, Daniel Fabbri, Peter J. Embí, Ryan S. Hsi

“…The best results were achieved by GPT-4 (macro-F1 = 0.833, 95% confidence interval [CI] 0.826–0.841) and GPT-3.5 (macro-F1 = 0.796, 95% CI 0.796–0.796). Ablation studies revealed that the initial pre-trained GPT-3.5 model benefits from fine-tuning. …”
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