Assessment of Artificial Intelligence Models for Developing Single-Value and Loop Rating Curves by Majid Niazkar, Mohammad Zakwan

“…It was observed that no model outperformed others for all datasets and metrics considered, which demonstrates that the best method may be different from one case to another one. …”
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AMEND 2.0: module identification and multi-omic data integration with multiplex-heterogeneous graphs by Samuel S. Boyd, Chad Slawson, Jeffrey A. Thompson

“…AMEND was applied to two real-world multi-omic datasets: renal cell carcinoma data from The cancer genome atlas and an O-GlcNAc Transferase knockout study. …”
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GPA-MDS: A Visualization Approach to Investigate Genetic Architecture among Phenotypes Using GWAS Results by Wei Wei, Paula S. Ramos, Kelly J. Hunt, Bethany J. Wolf, Gary Hardiman, Dongjun Chung

“…We evaluate the proposed GPA-MDS framework using a simulation study and apply it to jointly analyze GWAS datasets examining 18 unique phenotypes, which helps reveal the shared genetic architecture of these phenotypes.…”
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Automated 3D semantic segmentation of PCB X-ray CT images and netlist extraction by Adrian Phoulady, Yara Suleiman, Hongbin Choi, Nicholas May, Sina Shahbazmohamadi, Pouya Tavousi

“…Our approach eliminates the need for extensive labeled datasets by using inherently labeled synthetic data. …”
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A new approach of anomaly detection in wireless sensor networks using support vector data description by Zhen Feng, Jingqi Fu, Dajun Du, Fuqiang Li, Sizhou Sun

“…Eventually, the experimental results on several benchmark datasets and real wireless sensor networks datasets demonstrate that the proposed method can not only guarantee detection accuracy but also reduce time complexity.…”
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Mutable Composite Firefly Algorithm for Microarray-Based Cancer Classification by Fathima Fajila, Yuhanis Yusof

“…Though existing approaches have given competing performance in terms of classification accuracy and reduced feature subsets, the classification of different cancer microarray datasets still requires improvements. Recently, the swarm-based hybrid algorithms have given significant performance in cancer classification. …”
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Monte Carlo Algorithm For Matrices in Solving Systems of Linear Equations, Determinants, Inverse, Eigen Values, and Eigenvectors. by Bamwine, Delik

“…Monte Carlo methods, which are based on statistical sampling, exhibit many attractive properties in dealing with large volumes of datasets, including fast approximated results, memory efficiency, reduced data accesses, natural parallelism, and inherent fault tolerance. …”
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Identifying health risk determinants and molecular targets in patients with idiopathic pulmonary fibrosis via combined differential and weighted gene co-expression analysis by Abu Tayab Moin, Md. Asad Ullah, Jannatul Ferdous Nipa, Mohammad Sheikh Farider Rahman, Afsana Emran, Md. Minhazul Islam, Swapnil Das, Tawsif Al Arian, Mohammad Mahfuz Enam Elahi, Mukta Akter, Umme Sadea Rahman, Arnab Halder, Shoaib Saikat, Mohammad Jakir Hosen

“…Validation in independent datasets confirmed the relevance of these findings. …”
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Reflections on the Use of the Intermediate Data Structure (IDS) in Historical Demographic Research by Luciana Quaranta

“…Based on my own experiences from working with the IDS, in this article I provide reflections on the use of IDS to create datasets for analysis and to conduct comparative demographic research.…”
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Outcomes following intradetrusor onabotulinumtoxinA in a national cohort of nursing home residents by Leo D. Dreyfuss, Farnoosh Nik‐Ahd, Lufan Wang, Abigail Shatkin‐Margolis, Kenneth Covinsky, W. John Boscardin, Anne M. Suskind

“…Mean age was 78.2 years, 74% were female and 22.8% had an indwelling urinary catheter at baseline. A total of 38.4% of residents had ≥1 30‐day complication and 14.6% had a new catheter at 3 months. …”
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DiffRSS: A Diffusion-Guided Multi-Scale Features Remote Sensing Image Segmentation Method by Honghao Liu, Ruixia Yang, Yue Xu, Zhengchao Chen, Yuyang Zheng

“…Extensive testing on three public remote sensing datasets the ISPRS Vaihingen, ISPRS Potsdam, and GID Fine Land Cover Classification datasets demonstrates that our method achieves competitive results.…”
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Identifying Candidate Genes for Type 2 Diabetes Mellitus and Obesity through Gene Expression Profiling in Multiple Tissues or Cells by Junhui Chen, Yuhuan Meng, Jinghui Zhou, Min Zhuo, Fei Ling, Yu Zhang, Hongli Du, Xiaoning Wang

“…In the current study, gene expression levels in multiple human tissues from GEO datasets were analyzed, and 21 candidate genes displaying high percentages of differential expression were filtered out. …”
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A practical approach to building a calcareous nannofossil knowledge graph by Hongyi Zhao, Bin Hu, Chao Ma, Shijun Jiang, Yi Zhang, Xin Li, Lirong Chen, Can Cai, Longgang Ye, Shengjian Zhou, Chengshan Wang

“…Abstract Following sustained development, numerous palaeontology databases and datasets of various types have been created. However, the lack of a unified standard language to describe knowledge and unclear sharing mechanisms between different databases and datasets has limited the large‐scale integration and application of paleontological data. …”
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Monitoring Coastal Water Turbidity Using Sentinel2—A Case Study in Los Angeles by Yuwei Kong, Karina Jimenez, Christine M. Lee, Sophia Winter, Jasmine Summers-Evans, Albert Cao, Massimiliano Menczer, Rachel Han, Cade Mills, Savannah McCarthy, Kierstin Blatzheim, Jennifer A. Jay

“…Constant surveillance is essential to ensure compliance with established health standards and to address the persistent water quality challenges in the region. Remotely sensed datasets are increasingly being applied toward improved detection of water quality by augmenting monitoring programs with spatially intensive and accessible data. …”
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DeLoCo: Decoupled location context-guided framework for wildlife species classification using camera trap images by Lifeng Wang, Shun Wang, Chenxun Deng, Haowei Zhu, Ye Tian, Junguo Zhang

“…Deep learning methods, which are particularly adept at handling large datasets, has demonstrated considerable promise in this field. …”
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Voice EHR: introducing multimodal audio data for health by James Anibal, James Anibal, Hannah Huth, Ming Li, Lindsey Hazen, Veronica Daoud, Dominique Ebedes, Yen Minh Lam, Hang Nguyen, Phuc Vo Hong, Michael Kleinman, Shelley Ost, Christopher Jackson, Laura Sprabery, Cheran Elangovan, Balaji Krishnaiah, Lee Akst, Lee Akst, Ioan Lina, Iqbal Elyazar, Lenny Ekawati, Stefan Jansen, Richard Nduwayezu, Charisse Garcia, Jeffrey Plum, Jacqueline Brenner, Miranda Song, Emily Ricotta, Emily Ricotta, David Clifton, C. Louise Thwaites, Yael Bensoussan, Bradford Wood

“…Information contained in the Voice EHR samples was consistently rated as equally or more relevant to a health evaluation.DiscussionThe HEAR application facilitates the collection of an audio electronic health record (“Voice EHR”) that may contain complex biomarkers of health from conventional voice/respiratory features, speech patterns, and spoken language with semantic meaning and longitudinal context–potentially compensating for the typical limitations of unimodal clinical datasets.…”
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Differences in immune cells and gene expression in human milk by parity on integrated scRNA sequencing by Dae Yong Yi, Hong-Jai Park, Min Sun Shin, Hyoungsu Kim, Sang Jin Lee, Insoo Kang

“…Purpose This study aimed to clarify the effects of parity on HBM immune cell heterogeneity and gene expression by integrating and analyzing publicly available single-cell RNAsequencing (scRNA-seq) datasets. Methods We clarified the effects of parity on HBM immune cell heterogeneity and gene expression by integrating and analyzing publicly available scRNA-seq datasets. …”
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Late Occurrence of Transient Advanced Second Degree Atrioventricular Block after Successful Transcatheter Cryoablation of Atrioventricular Nodal Reentry Tachycardia by Maria Malaya C. Dorotan-Guevara, Michael S. Crapanzano, Christopher S. Snyder

“…Late occurrence of atrioventricular nodal block is an extremely rare occurrence after radiofrequency catheter modification of the slow pathway and has yet to be reported after cryoablation. …”
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Age-associated microglial transcriptome leads to diminished immunogenicity and dysregulation of MCT4 and P2RY12/P2RY13 related functions by Martin Škandík, Lara Friess, Guillermo Vázquez-Cabrera, Lily Keane, Kathleen Grabert, Mireia Cruz De los Santos, Mercedes Posada-Pérez, Austeja Baleviciute, Mathilde Cheray, Bertrand Joseph

“…Through the integration of in vitro cultured BV-2 microglia with primary microglia datasets, we identify critical molecular determinants of microglial cellular aging confirmed in human-aged brain tissue. …”
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Automatic MRI Lymph Node Annotation From CT Labels by Souraja Kundu, Yuji Iwahori, M. K. Bhuyan, Manish Bhatt, Boonserm Kijsirikul, Aili Wang, Akira Ouchi, Yasuhiro Shimizu

“…These factors make it difficult to create labeled MRI datasets for deep learning model training. Moreover, existing cross-modal annotation methods primarily focus on large tumors and require large datasets, making them unsuitable for small lymph nodes with less training data. …”
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