Size, spines, and primes: the drivers of collar spine numbers among echinostome trematodes by Bronwen Presswell, Priscila M. Salloum, Jerusha Bennett, Katherine E. Buschang, Robert Poulin

“…We investigate interspecific variation in the number of collar spines among trematodes from the superfamily Echinostomatoidea, using a dataset comprising hundreds of species. These trematodes possess a ring of spines around their anterior sucker; in some families, they form 2 arcs on either side of the sucker, with a central gap, whereas in other families, they form a continuous collar with no gap. …”
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Micropollutants Identification Affecting the Nearby Environment from Highway Runoff: The Case Study of Cyprus Highway by Antonis A. Zorpas, Lampis A. Ilia, Irene Voukkali, Vassilis Inglezakis

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Comparative Analyses and Phylogenetic Dependence in Traits and Trends of the Dipterocarpaceae by Nazrin Malik, David Edwards, Robert P. Freckleton

“…Our objectives are to (i) assess whether dipterocarp species traits are phylogenetically conserved through a phylogenetic signal, indicating phylogenetic niche conservatism (PNC); (ii) determine the drivers of dipterocarp species distribution; (iii) examine the relationship between morphological traits with habitat factors; and (iv) assess the correlation between conservation status and phylogeny. We compiled a dataset of species‐level plant traits of the Dipterocarpaceae together with population‐level ecological trends. …”
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Intelligent Prediction of Flood Disaster Risk Levels Based on Knowledge Graph and Graph Neural Networks by Peisheng Yang, Xiaohua Xu, Meilan Shao, Yewei Liu

“…Experimental results demonstrate high prediction accuracy when tested on a dataset containing 9000 records. Compared with the three classical models in traditional machine learning, such as RF, SVM and ANN, the performance of this model is improved, and it is better than the traditional model. …”
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A Study on the Determination of Korea Affecting Tropical Cyclone Center for Best Tracking by Yumi Cha, Jinyeon Kim, Kiryong Kang, Nam-Young Kang, Won-Tae Yun

“…This PI determined the minimum range at which the center of the TC can be adjusted and based on the analysis manual for each dataset used in the TC best tracking. Furthermore, the PI can be optimized by the differential application of the range depending on the reliability of the data. …”
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An Improved Deep Learning Model for Traffic Crash Prediction by Chunjiao Dong, Chunfu Shao, Juan Li, Zhihua Xiong

“…The proposed model was applied to the dataset that was collected from Knox County in Tennessee to validate the performances. …”
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Identification of Key Genes and Pathways Associated with Age-Related Macular Degeneration by Junyu Zhang, Yu Zhou

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Exercise Training Prevents Decrease in Luminal Capillary Diameter of Skeletal Muscles in Rats with Type 2 Diabetes by Takeshi Morifuji, Shinichiro Murakami, Naoto Fujita, Hiroyo Kondo, Hidemi Fujino

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MIESTC: A Multivariable Spatio-Temporal Model for Accurate Short-Term Wind Speed Forecasting by Shaohan Li, Min Chen, Lu Yi, Qifeng Lu, Hao Yang

“…Experimental results on the ERA5-LAND dataset show that, compared to the ConvLSTM, UNET, and SimVP models, the MIESTC model reduces RMSE by 14.60%, 8.64%, and 10.41%, respectively, for a 1 h prediction duration. …”
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A VHDL Code for Offset Pulse Position Modulation Working with Reed Solomon System by Using ModelSim by Ahmed H. Albatoosh, Mohamed Ibrahim Shuja'a, Basman M. Al-Nedawe

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Capecitabine-induced Hand-foot Syndrome with Hyperpigmentation on Oral Mucosa and Nails: A Rare Entity by Suprit Malali, Sourya Acharya

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Skin Autofluorescence, as a Measure of AGE Accumulation in Individuals Suffering from Chronic Plaque Psoriasis by Karolina Kopeć-Pyciarz, Irena Makulska, Danuta Zwolińska, Łukasz Łaczmański, Wojciech Baran

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Changes in Cross-Sectional Area of the Median Nerve and Body Composition Parameters after Treatment of Acromegaly: 1 year Follow-Up by Ivana Ságová, Daniela Kantárová, Marián Mokáň, Peter Vaňuga

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Clonally Related Plasmablastic Lymphoma Simultaneously Occurring with Diffuse Large B-Cell Lymphoma by Norisato Hashimoto, Tomoki Ueda, Shinichiro Hiraiwa, Takuma Tajiri, Naoya Nakamura, Kenji Yokoyama

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Automating skin cancer screening: a deep learning by Nada M. Rashad, Noha MM. Abdelnapi, Ahmed F. Seddik, M. A. Sayedelahl

“…This model is able to recognize seven different kinds of skin lesions. On the ISIC dataset, an analysis has been done. This study offers a novel approach to early skin cancer diagnosis based on image processing. …”
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The Role of Public Governance Practices for Business R&D Activity in the EU by Dejan Ravšelj, Sabina Hodžić

“…The aim is to be achieved by applying a multiple regression analysis on a cross-sectional dataset of EU member countries. The empirical results show the following. …”
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Mathematical methodology for defining a frequent attender within emergency departments by Elizabeth Williams, Elizabeth Williams, Syaribah N. Brice, Syaribah N. Brice, Dave Price

“…Recursive clustering on the smallest time interval cluster created a new, smaller cluster and formal FA definition.ResultsApplied to a case study dataset of approximately 336,000 ED attendances, this framework can consistently and effectively identify FAs across EDs. …”
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A Finite Element Method for Modeling Diffusion and Drug Release from Nanocellulose/Nanoporous Silicon Composites by Paulo Zúñiga, Marcelo Aravena, Silvia Ponce, Jacobo Hernandez-Montelongo

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Transfer learning for non-image data in clinical research: A scoping review. by Andreas Ebbehoj, Mette Østergaard Thunbo, Ole Emil Andersen, Michala Vilstrup Glindtvad, Adam Hulman

“…Many studies used publicly available datasets (66%) and models (49%), but fewer shared their code (27%).…”
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Comparing surface immune markers in successful and non-viable ART pregnancies on the day of hCG measurement: a prospective pilot study by Kevin Marron, Conor Harrity

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