Indications, Measurements, and Complications of Ten Essential Neonatal Procedures by Zainab Bubakr Hamad Zubi, Ahmad Fadzil Bin Abdullah, Muhd Alwi Bin Muhd Helmi, Taufiq Hidayat Hasan, Noraida Ramli, Adam Al-Anas Bin Mat Ali, Mossad Abdelhak Shaban Mohamed

“…They include the umbilical venous and arterial catheterizations and the intraosseous line which represent the principal postnatal emergency vascular accesses; the peripherally inserted central catheter for long-term venous access; the endotracheal tube and laryngeal mask airway for airway control and ventilation; chest tube for drainage of air and fluid from the thorax; and the nasogastric/orogastric tube for enteral feeding. …”
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Dysuria, Urinary Retention, and Inguinal Pain as Manifestation of Sacral Bannwarth Syndrome by Josef Finsterer, Johannes Dauth, Kurt Angel, Mateusz Markowicz

“…Intravenous ceftriaxone for three weeks resulted in immediate improvement of bladder dysfunction, with continuous decline of residual urine volume and continuous increase of spontaneous urine volume even after removal of the catheter and initiation of self-catheterization. Sacral radiculitis due to infection with Borrelia burgdorferi is a potential cause of detrusor areflexia and urethral, perineal, inguinal, and scrotal pain and may be misinterpreted as cystitis or urethritis. …”
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Sideroflexin family genes were dysregulated and associated with tumor progression in prostate cancers by Hua Huang, Huibo Lian, Wang Liu, Benyi Li, Runzhi Zhu, Haiyan Shao

“…In this study, we took a comprehensive approach to investigate their expression profiles in benign prostate tissue, prostate-derived cell lines, and prostate cancer tissues using multiple transcriptome datasets. Our results showed that SFXN1/3/4 genes were predominantly expressed in prostate tissue and cell lines. …”
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Real-Time Multi-Task Deep Learning Model for Polyp Detection, Characterization, and Size Estimation by Phanukorn Sunthornwetchapong, Kasichon Hombubpha, Kasenee Tiankanon, Satimai Aniwan, Pasit Jakkrawankul, Natawut Nupairoj, Peerapon Vateekul, Rungsun Rerknimitr

“…For the various tasks, the models are trained using datasets with incomplete labels, leading to a comparison of different training strategies. …”
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Causality-driven feature selection and domain adaptation for enhancing chemical foundation models in downstream tasks by Eduardo Soares, Victor Yukio Shirasuna, Emilio Vital Brazil, Karen Fiorella Aquino Gutierrez, Renato Cerqueira, Dmitry Zubarev, Kristin Schmidt, Daniel P Sanders

“…We evaluate our approach on various foundation model architectures and datasets, demonstrating performance improvements, which showcases the robustness and the agnostic nature of our approach.…”
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Local Region Frequency Guided Dynamic Inconsistency Network for Deepfake Video Detection by Pengfei Yue, Beijing Chen, Zhangjie Fu

“…Experiments on the three public datasets (FF++, DFDC, and Celeb-DF) show that compared with many recent advanced methods, the proposed method achieves better detection results when detecting deepfake videos of unknown manipulation types.…”
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Differential Expression Profiling of Long Noncoding RNA and mRNA during Osteoblast Differentiation in Mouse by Minjung Kim, Youngseok Yu, Ji-Hoi Moon, InSong Koh, Jae-Hyung Lee

“…Here, we analyzed the RNA-sequencing (RNA-Seq) datasets obtained for 18 days in two-day intervals from neonatal mouse calvarial pre-osteoblast-like cells. …”
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Short-term residential load forecasting via transfer learning and multi-attention fusion for EVs’ coordinated charging by Shuhua Gao, Yuanbin Liu, Jing Wang, Zhengfang Wang, Xu Wenjun, Renfeng Yue, Ruipeng Cui, Yong Liu, Xuezhong Fan

“…Ultimately, the experimental results show that our proposed method achieves the best forecasting performance in the datasets in five different regions. Especially in the non-working days, its performance is outstanding.…”
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Climate Change Indicators and Spatiotemporal Shift in Monsoon Patterns in Pakistan by Fasiha Safdar, Muhammad Fahim Khokhar, Muhammad Arshad, Iftikhar Hussain Adil

“…Analysis shows that there is significant correlation between TRMM and PMD datasets. Decrease in monsoon rainfall is observed during the last two decades. …”
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An Intelligent Heuristic Manta-Ray Foraging Optimization and Adaptive Extreme Learning Machine for Hand Gesture Image Recognition by Seetharam Khetavath, Navalpur Chinnappan Sendhilkumar, Pandurangan Mukunthan, Selvaganesan Jana, Lakshmanan Malliga, Subburayalu Gopalakrishnan, Sankuru Ravi Chand, Yousef Farhaoui

“…Still, it limits the major problems of inefficient handling of large dimensional datasets and requires more time consumption, increased false positives, error rate, and misclassification outputs. …”
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An empirical analysis of keystroke dynamics in passwords: A longitudinal study by Simon Parkinson, Saad Khan, Alexandru‐Mihai Badea, Andrew Crampton, Na Liu, Qing Xu

“…These studies have used publicly available datasets, containing a small number of passwords with timings acquired from different experiments. …”
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Unsupervised Image Super-Resolution for High-Resolution Satellite Imagery via Omnidirectional Real-to-Synthetic Domain Translation by Minkyung Chung, Yongil Kim

“…The model was evaluated through comparative analyses and ablation studies using real-world LR–HR datasets from WorldView-3 HR satellite imagery. The experimental results demonstrate that BLG-GAN-U effectively generates high-quality SR images with excellent perceptual quality and reasonable image fidelity, even with a relatively smaller network capacity.…”
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A Hierarchical Attention Recommender System Based on Cross-Domain Social Networks by Rongmei Zhao, Xi Xiong, Xia Zu, Shenggen Ju, Zhongzhi Li, Binyong Li

“…Comprehensive experiments on four real-world datasets show the effectiveness of the proposed method.…”
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Distributed training of foundation models for ophthalmic diagnosis by Sina Gholami, Fatema-E Jannat, Atalie Carina Thompson, Sally Shin Yee Ong, Jennifer I. Lim, Theodore Leng, Hamed Tabkhivayghan, Minhaj Nur Alam

“…This encoder was trained on seven optical coherence tomography datasets, and we compared its performance under local, centralized, and federated learning settings. …”
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Increased Nuclear Transporter KPNA2 Contributes to Tumor Immune Evasion by Enhancing PD-L1 Expression in PDAC by Kai-Xia Zhou, Shan Huang, Li-Peng Hu, Xue-Li Zhang, Wei-Ting Qin, Yan-Li Zhang, Lin-Li Yao, Yanqiu Yu, Yao-Qi Zhou, Lei Zhu, Jianguang Ji, Zhi-Gang Zhang

“…In this study, we found that expression of KPNA2 was significantly upregulated in PDAC compared to adjacent nontumor tissue and its high expression was correlated with poor survival outcome by analyzing the GEO datasets. Similar KPNA2 expression pattern was also found in both human patient samples and KPC mouse models through IHC staining. …”
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INSTINCT: Multi-sample integration of spatial chromatin accessibility sequencing data via stochastic domain translation by Yuyao Liu, Zhen Li, Xiaoyang Chen, Xuejian Cui, Zijing Gao, Rui Jiang

“…We demonstrate the superiority and robustness of INSTINCT in integrating spATAC-seq data across multiple simulated scenarios and real datasets. Additionally, we highlight the advantages of INSTINCT in spatial domain identification, visualization, spot-type annotation, and various downstream analyses, including motif enrichment analysis, expression enrichment analysis, and partitioned heritability analysis.…”
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APDL: an adaptive step size method for white-box adversarial attacks by Jiale Hu, Xiang Li, Changzheng Liu, Ronghua Zhang, Junwei Tang, Yi Sun, Yuedong Wang

“…Experiments conducted on ImageNet-compatible datasets demonstrate that APDL is significantly faster than the commonly used nonadaptive methods, whereas the TDLF method exhibits strong transferability.…”
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Faster model-based estimation of ancestry proportions by Santander, Cindy G., Refoyo Martinez, Alba, Meisner, Jonas

“…The ADMIXTURE software is a widely used model-based approach to account for population stratification, however, it struggles with convergence issues and does not scale to modern human datasets or the large number of variants in whole-genome sequencing data. …”
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Applied aspects of modern non-blind image deconvolution methods by O.B. Chaganova, A.S. Grigoryev, D.P. Nikolaev, I.P. Nikolaev

“…We developed a benchmark for validating non-blind deconvolution methods, which includes datasets of ground truth images and blur kernels, as well as a test scheme for assessing restoration quality and error robustness. …”
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Network pharmacology and in silico investigation into the therapeutic potential of phytoconstituents of Peucedanum ostruthium as anti-tubercular agents by Neeru Bhanwala, Raunak Katiyar, Sumit Kumar, Ashok K. Datusalia, Gopal L. Khatik

“…The phytoconstituents of P. ostruthium were studied using Swiss Target Prediction to determine the target genes. The DisGeNET datasets were used to extract genes and variations associated with TB. …”
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