Measuring Activated Clotting Time during Cardiac Catheterization and PCI: The Effect of the Sampling Site by J. C Heemelaar, T. Berkhout, A. A. C. M. Heestermans, J. C. Zant, A. M. J. de Vos, N. J. W. Verouden, M. T. Dirksen, J. van Ramshorst

“…After elective cardiac catheterization, ACT measurements were collected in simultaneously obtained blood samples from three different sample sites: the arterial catheter, arterial sheath, and peripheral intravenous line. …”
Get full text

A cooperative search algorithm-based flood forecasting framework: application across diverse Chinese catchments by Jinhai Yang, Lei Wen, Junliang Guo, Yiru Chen, Yongchen Zhu, Yun Wang, Meihong Ma, Meihong Ma

“…Future research will expand validation datasets and explore applications across varied hydrological and climatic conditions.…”
Get full text

Comprehensive genome annotation of Trilocha varians, a new model species of Lepidopteran insects by Jung Lee, Toshiaki Fujimoto, Katsushi Yamaguchi, Shuji Shigenobu, Ken Sahara, Toru Shimada

“…To facilitate further use of T. varians, we developed genome annotation information on the chromosome-scale assembly of T. varians previously published by our group. 9 RNA-seq datasets and 2 Iso-seq datasets were submitted for transcriptome-based gene prediction. …”
Get full text

Incomplete human reference genomes can drive false sex biases and expose patient-identifying information in metagenomic data by Caitlin Guccione, Lucas Patel, Yoshihiko Tomofuji, Daniel McDonald, Antonio Gonzalez, Gregory D. Sepich-Poore, Kyuto Sonehara, Mohsen Zakeri, Yang Chen, Amanda Hazel Dilmore, Neil Damle, Sergio E. Baranzini, George Hightower, Teruaki Nakatsuji, Richard L. Gallo, Ben Langmead, Yukinori Okada, Kit Curtius, Rob Knight

“…Overall, we demonstrate that rigorous host filtration is a key component of privacy-minded analyses of patient microbiomes and provide computationally efficient pipelines for accomplishing this task on large-scale datasets.…”
Get full text

A Branch-and-Price Algorithm for Balancing Two-Sided Assembly Lines with Zoning Constraints by Qidong Yin, Xiaochuan Luo, Julien Hohenstein

“…In addition, experiments on the real-world datasets originating from passenger vehicle assembly lines are conducted. …”
Get full text

Hierarchical Learning: A Hybrid of Federated Learning and Personalization Fine-Tuning by Li Shuyi, Zhang Bairong

“…The experiment conducted on a movie recommendation system demonstrates that this hierarchical approach significantly reduces the global model’s error while offering personalized improvements on client-specific datasets. Results show an average Root Mean Squared Error (RMSE) reduction of 0.0460 following local personalization. …”
Get full text

The Efficacy of Predictive Methods in Financial Statement Fraud by Mahdi Omidi, Qingfei Min, Vahab Moradinaftchali, Muhammad Piri

“…The outcomes of this study can be applied to different types of financial statement datasets, as they present a practical way for constructing predictive models using a combination of supervised and unsupervised approaches.…”
Get full text

Copy-Move Forgery Verification in Images Using Local Feature Extractors and Optimized Classifiers by S. B. G. Tilak Babu, Ch Srinivasa Rao

“…CoMoFoD, CASIA, and MICC datasets and a combination of CoMoFoD and CASIA datasets images are used to quantify the performance of the proposed algorithms. …”
Get full text

A systematic review of deep learning techniques for apple leaf diseases classification and detection by Assad Souleyman Doutoum, Bulent Tugrul

“…They can provide accurate disease detection and classification through massive image datasets. This research analyzes and evaluates datasets, deep learning methods and frameworks built for apple leaf disease detection and classification. …”
Get full text

Comprehensive genome-scale CRISPR knockout screening of CHO cells by Sung Wook Shin, Su Hyun Kim, Aghiles Gasselin, Gyun Min Lee, Jae Seong Lee

“…Collectively, our next-generation sequencing datasets, derived from a robust and reliable CRISPR screening method, provide valuable insights into CHO genomic functions, advancing the development of next-generation CHO factories.…”
Get full text

Die verwerkliking van die geloof in die kerklike kategese: basisteoretiese perspektiewe by C. J. H. Venter, C. N. van der Merwe

“…According to empirical data and views expressed in subject-related literature, it seems as if the Bible and biblical material are treated only objectively during the years of catechetical instruction and children are often not guided adequately towards a subjective experience of their faith. …”
Get full text

The AI-shift: how Europol is leveraging artificial intelligence to combat serious organised crime and terrorism by Valér Dános

“…Findings: With the increasing volume and speed of investigative data, AI has emerged as a promising solution to help law enforcement agencies process and analyse large and complex datasets. Europol has been at the forefront of developing and sharing AI tools with its Member States, ensuring their responsible and accountable use. …”
Get full text

A New Multiface Target Detection Algorithm for Students in Class Based on Bayesian Optimized YOLOv3 Model by Dongmei Shi, Hongyu Tang

“…Five groups of comparative experiments are carried out on public COCO and VOC2012 datasets and self-built datasets. The experimental results show that the proposed improved YOLOv3 model can effectively improve the detection accuracy of multiple faces and small targets. …”
Get full text

Deep Domain Adaptation Approach Using an Improved Parallel Residual Network for Cross-Domain Bearing Fault Diagnosis by Jiezhou Huang

“…Recently, bearing fault diagnosis based on transfer learning (TL) has been a hot topic, which has attracted widespread interest due to its ability to adapt bearing fault datasets with different feature distributions. However, existing research suffer from low diagnosis efficiency and poor generalization capabilities. …”
Get full text

Unit-Chen distribution and its quantile regression model with applications by Ammar M. Sarhan

“…The need for new statistical distributions that can effectively fit real datasets on the unit interval is crucial in data analysis. …”
Get full text

A comparative analysis of LSTM models aided with attention and squeeze and excitation blocks for activity recognition by Murad Khan, Yousef Hossni

“…Additionally, imbalanced datasets and computational complexity hinder the performance of these systems in real-world applications. …”
Get full text

GIS-Based Landslide Susceptibility Mapping Using Frequency Ratio and Shannon Entropy Models in Dejen District, Northwestern Ethiopia by Abinet Addis

“…A total of 270 landslides were identified and classified randomly into training landslides datasets (70%) and the remaining (30%) of landslides datasets were used for validation purpose. …”
Get full text

$$\varLambda $$ Λ CDM model against gravity-thermodynamics conjecture: observational constraints after DESI 2024 by N. Shahhoseini, M. Malekjani, A. Khodam-Mohammadi

“…In the next step, we incorporate all datasets by adding the CMB data to our analysis, indicating a potential deviation from the standard model within the framework of Tsallis cosmology. …”
Get full text

Current Trends in Class Imbalance Learning for Software Defect Prediction by Somya R. Goyal

“…This review has uncovered that – The most pronounced datasets are Promise and NASA which are highly imbalanced in nature. …”
Get full text

Penetrating Posterior Urethral Injuries: Case Report and Management Strategies by Seyed Sajjad Tabei, Brandon Lippold, Wesley Baas, Gregory Murphy

“…Initial management involved urethral catheter placement, with one patient requiring operative placement of urethral and suprapubic catheters (SPTs). …”
Get full text