Classification of white blood cells (leucocytes) from blood smear imagery using machine and deep learning models: A global scoping review. by Rabia Asghar, Sanjay Kumar, Arslan Shaukat, Paul Hynds

“…While some conventional ML models achieved up to 99% accuracy, accuracy was shown to decrease in concurrence with decreasing dataset size. Deep learning models exhibited improved performance for more extensive datasets and exhibited higher levels of accuracy in concurrence with increasingly large datasets. …”
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Distribution of trial registry numbers within full-text of PubMed Central articles: implications for linking trials to publications and indexing trial publication types by Arthur M. Holt, Ang Michael Troy, Neil R. Smalheiser

“…Methods Articles from the PubMed Central full-text Open Access dataset were scanned for mentions of ClinicalTrials.gov and international clinical trial registry identifiers. …”
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Development and validation of a nomogram to predict the probability of death after surgical evacuation for traumatic intracranial hemorrhage by Yan-Chao Zheng, Jun-Wei Qian, An-Ni Li, Yi-Nuo Yuan, Sen-Lin Ma, Mingquan Chen

“…This is a retrospective study based on 245 patients admitted to the Department of Neurosurgery of Huashan Hospital affiliated to Fudan University, between August 2005, and August 2023. We divided the dataset into primary and validation data by the ratio of 7:3. …”
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Socioeconomic disparities in depression risk: Limitations of the moderate effect of physical activity changes in Korea. by Su Kyoung Lee, Yong Jin Kwon

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Identification of Legionella by MALDI Biotyper through three preparation methods and an in-house library comparing phylogenetic and hierarchical cluster results by Luna Girolamini, Paolo Caiazza, Federica Marino, Maria Rosaria Pascale, Laura Caligaris, Simona Spiteri, Carlo Derelitto, Maria Luisa Simone, Antonella Grottola, Sandra Cristino

“…Moreover, Hierarchical cluster analysis (HCA) was compared to mip and rpoB gene sequencing. The dataset was composed of 104 isolates belonging to six Legionella species. …”
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Classification of Melanoma and Nevus in Digital Images for Diagnosis of Skin Cancer by Muhammad Qasim Khan, Ayyaz Hussain, Saeed Ur Rehman, Umair Khan, Muazzam Maqsood, Kashif Mehmood, Muazzam A. Khan

“…The proposed methodology is tested on the DERMIS dataset having a total number of 397 skin cancer images: 146 are melanoma and 251 are nevus skin lesions. …”
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A comparison of the parasitoid wasp species richness of tropical forest sites in Peru and Uganda – subfamily Rhyssinae (Hymenoptera: Ichneumonidae) by Hopkins, Tapani, Tuomisto, Hanna, Gómez, Isrrael C., Sääksjärvi, Ilari E.

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Novel transfer learning approach for hand drawn mathematical geometric shapes classification by Aneeza Alam, Ali Raza, Nisrean Thalji, Laith Abualigah, Helena Garay, Josep Alemany Iturriaga, Imran Ashraf

“…We utilized a benchmark dataset of mathematical shapes based on a total of 20,000 images with eight classes circle, kite, parallelogram, square, rectangle, rhombus, trapezoid, and triangle. …”
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Daily Performance of Adolescents with Executive Function Deficits: An Empirical Study Using a Complex-Cooking Task by Yael Fogel, Sara Rosenblum, Renana Hirsh, Mathilde Chevignard, Naomi Josman

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ν-point energy correletors with FastEEC: Small-x physics from LHC jets by Ankita Budhraja, Hao Chen, Wouter J. Waalewijn

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Public Understanding and Expectations of Digital Health Evidence Generation: Focus Group Study by Paulina Bondaronek, Jingfeng Li, Henry W W Potts

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A Method for Tomato Ripeness Recognition and Detection Based on an Improved YOLOv8 Model by Zhanshuo Yang, Yaxian Li, Qiyu Han, Haoming Wang, Chunjiang Li, Zhandong Wu

“…The results show that the improved YOLOv8+ model is capable of accurately recognizing the ripeness level of tomatoes, achieving relatively high values of 95.8% precision value and 91.7% accuracy on the test dataset. It is concluded that the new model has strong detection performance and real-time detection.…”
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Identification of Potential Abnormal Methylation-Modified Genes in Coronary Artery Ectasia by Xiuchun Yang, Yijun Zong, Zhentian Zhang, Yan Zhao, Xueying Gao, Jie Zhang, Qian Hou, Renyi Li, Bing Xiao

“…A total of 152 DEGs and 4318 DMGs were obtained from RNA sequencing and the GSE87016 dataset, respectively. After taking interaction genes, 9 down-regulated DEGs due to hypermethylation and 11 up-regulated DEGs due to hypomethylation were identified in CAE. …”
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Galaxy evolution in the post-merger regime. III -- The triggering of active galactic nuclei peaks immediately after coalescence by Sara Ellison, Leonardo Ferreira, Robert Bickley, Tess Grindlay, Samir Salim, Shoshannah Byrne-Mamahit, Shobita Satyapal, David R. Patton, Jillian M. Scudder

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Reducing lead requirements for wearable ECG: Chest lead reconstruction with 1D-CNN and Bi-LSTM by Kazuki Hebiguchi, Hiroyoshi Togo, Akimasa Hirata

“…Leveraging the PTB-XL ECG dataset, we preprocessed the signals to eliminate noise and trained a model integrating 1D convolutional layers with a Bi-directional Long Short-Term Memory (Bi-LSTM) architecture. …”
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A data driven machine learning approach for predicting and optimizing sulfur compound adsorption on metal organic frameworks by Mohsen Shayanmehr, Sepehr Aarabi, Ahad Ghaemi, Alireza Hemmati

“…Five ML models were developed with the help of a dataset containing 676 rows to correlate the adsorbent features, adsorption conditions, and adsorbate characteristics to the MOF sample’s sulfur adsorption capability. …”
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Predicting hydropower generation: A comparative analysis of Machine learning models and optimization algorithms for enhanced forecasting accuracy and operational efficiency by Chunyang Wang, Chao Li, Yudong Feng, Shoufeng Wang

“…Machine Learning techniques such as integrated Gradient Boosting and Categorical Gradient Boosting, optimized with Hunger Games search, Chaos game optimization, and Archimedes Optimization Algorithm algorithms, are used to forecast and optimize hydropower generation. The dataset involved hydropower generation data from 1819 records gathered from a particular watershed. …”
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Estimating the Potential Modal Split of Any Future Mode Using Revealed Preference Data by Gijsbert Koen de Clercq, Arjan van Binsbergen, Bart van Arem, Maaike Snelder

“…This establishes a method that can be used to analyze any new mode using revealed preference data and discrete choice models and is demonstrated using the OViN 2017 dataset with trips throughout the Netherlands using a multinomial and nested logit model. …”
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Least Square Estimation-Based Different Fast Fading Channel Models in MIMO-OFDM Systems by Walaa Hussein, Kamil Audah, N. K. Noordin, Habib Kraiem, Aymen Flah, Mohd Fadlee, Alyani Ismail

“…To address this issue, an efficient dataset is utilized, employing the least square (LS) algorithm for minimization. …”
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Deep Temporal Clustering of Pathological Gait Patterns in Post-Stroke Patients Using Joint Angle Trajectories: A Cross-Sectional Study by Gyeongmin Kim, Hyungtai Kim, Yun-Hee Kim, Seung-Jong Kim, Mun-Taek Choi

“…A total of 74 sub-acute post-stroke hemiplegic patients with lower limb impairments were included in the analysis. The dataset comprised 219 sagittal plane joint angle and angular velocity trajectories from the hip, knee, and ankle joints during gait cycles. …”
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