PolyRes-Net: A Polyhierarchical Residual Network for Decoding Anatomical Complexity in Medical Image Segmentation by Amr Magdy, Khalid N. Ismail, Marghny H. Mohamed, Mahmoud Hassaballah, Haitham Mahmoud, Mohammed M. Abdelsamea

“…Specifically, PolyRes-Net achieves the highest mDSC scores of 91.02%, 91.80%, and 89.25% on CVC ClinicDB, 2018 Data Science Bowl, and ISIC-2018 skin lesion segmentation challenge dataset, respectively. Additionally, the highest mIOU scores are 85.60%, 85.32%, and 82.14% for the same datasets, further underscoring the efficacy of the proposed model.…”
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Prognostic impact of donor mitochondrial genomic variants in myelodysplastic neoplasms after stem-cell transplantation by Jing Dong, Shahram Arsang-Jang, Tao Zhang, Zhongyuan Chen, Yung-Tsi Bolon, Stephen Spellman, Raul Urrutia, Paul Auer, Wael Saber

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The status of serum 25(OH)D levels is related to breast cancer by Mohammad Momivand, Mahta Razaghi, Farshid Mohammadi, Edris Hoseinzadeh, Roya Najafi-Vosough

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End-to-end dataflow engineering framework of honey manufacturing from intermediates to process by TAS1R2@AuNPs/SPCE biosensor coupled with quality transfer principle by Xiaoyan Hu, Jingqi Zeng, Lijuan Ma, Xiaomeng Wang, Jing Du, Lu Yao, Zhisheng Wu

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Peripheral Nerve Blocks Are Associated With Decreased Early Medical Complications, Dislocations, and Opioid Consumption Following Total Hip Arthroplasty by Brian P. McCormick, MD, Sean B. Sequeira, MD, Mark D. Hasenauer, MD, Robert P. McKinstry, MD, Frank R. Ebert, MD, Henry R. Boucher, MD

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Using computer modeling to find new LRRK2 inhibitors for parkinson’s disease by María C. García, Sebastián A. Cuesta, José R. Mora, Jose L. Paz, Yovani Marrero-Ponce, Frank Alexis, Edgar A. Márquez

“…This study aims to create a detailed dataset to build strong predictive models with various machine learning algorithms. …”
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The temporal scale of energy maximization explains allometric variations in movement decisions of large herbivores by Daniel Fortin, Christopher F. Brooke, Hervé Fritz, Jan A. Venter

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Squamanitaceae and three new species of Squamanita parasitic on Amanita basidiomes by Jian-Wei Liu, Zai-Wei Ge, Egon Horak, Alfredo Vizzini, Roy E. Halling, Chun-Lei Pan, Zhu L. Yang

“…Meanwhile, another concatenated (18S-ITS-nrLSU-RPB2-TEF1-α) dataset is used to investigate phylogenetic relationships and species delimitation in Squamanita. …”
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Restoration of <i>Posidonia oceanica</i> Meadow Using Cuttings from an Area Impacted by Harbor Extension Project by Mario De Luca, Luigi Piazzi, Ivan Guala, Maria Francesca Cinti, Paolo Marras, Arianna Pansini, Federico Pinna, Alessandra Puccini, Antonio Santonastaso, Myriam Stelletti, Patrizia Stipcich, Vincenzo Pascucci

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COVID-19 in the years 2020 to 2022 in Germany: effects of comorbidities and co-medications based on a large-scale database analysis by Roland Linder, Jonas Peltner, Anatoli Astvatsatourov, Willy Gomm, Britta Haenisch

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Accelerated and precise skin cancer detection through an enhanced machine learning pipeline for improved diagnostic accuracy by SM Masfequier Rahman Swapno, S.M. Nuruzzaman Nobel, P.K. Meena, V.P. Meena, Jitendra Bahadur, Abhishek Appaji

“…The ensemble model effectively classifies benign and malignant skin lesions, leveraging EfficientNetV2L's feature extraction capabilities and LGBM's computational efficiency. A dataset comprising 3,297 images of benign and malignant skin cancer classes was used for training. …”
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Impact of English proficiency on use of Glasgow Coma Scale in geriatric patients with traumatic brain injury by Veronica Layrisse-Landaeta, Gabriela R Dincheva, Shahenda Khedr, Andrew Geng, Michele Schombs, Kazi Maisha, Steven Y Chao, Chun-Cheng Chen

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Critical factors influencing live birth rates in fresh embryo transfer for IVF: insights from cluster ensemble algorithms by Zheng Yu, Xiaoyan Zheng, Jiaqi Sun, Pengfei Zhang, Ying Zhong, Xingyu Lv, Hongwen Yuan, Fanrong Liang, Dexian Wang, Jie Yang

“…NMFE exhibits superior accuracy and reliability in analyzing the in vitro fertilization and embryo transfer (IVF-ET) dataset. The dataset comprises 2238 cycles and 85 independent clinical features, categorized into 13 categories based on feature correlation. …”
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Machine Learning-Based predictive model for adolescent metabolic syndrome: Utilizing data from NHANES 2007–2016 by Yu-zhen Zhang, Hai-ying Wu, Run-wei Ma, Bo Feng, Rui Yang, Xiao-gang Chen, Min-xiao Li, Li-ming Cheng

“…After excluding adolescents with missing diagnostic variables, the dataset included 2,459 adolescents via NHANES data from 2007–2016. …”
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Pemeringkatan Pencarian pada Buku Pedoman Akademik Filkom UB Menuju Merdeka Belajar dan Free E-Book Pembelajaran Sebagai Prototype Local Smart Micro Search Engine Menggunakan Algor... by Imam Cholissodin, Akhmad Sa’rony, Rona Salsabila, Ilham Firmansyah, Guedho Augnifico Mahardika, Andreas Pardede, Zaien Bin Umar Alaydrus

“…This algorithm has been proven to be able to provide feedback on relevant documents through two stages of testing. he evaluation conducted on the two tests resulted in the highest average recall value of 80.6% on the 1st dataset, and 2nd dataset the best correlation was obtained between precision, recall and f-measure of 0.98, 0.99, 0.99. …”
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Micra Leadless and Transvenous Pacemaker: A Single‐Center Comparative Study of QRS Wave Duration Resulting From Different Pacing Sites by Yichi Yu, Xiaomin Yang, Xiaoming Lian, Yan Zhao, Bo Liu, Xiangfei Feng, Qunshan Wang, Yigang Li

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A Study on the Line of Sight to Galaxies Detected at Gamma-Ray Energies by Amy Furniss, Josepf N. Amador, Olivier Hervet, Ollie Jackson, David A. Williams

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Glycogen Storage Disease Type Ia: A Retrospective Claims Analysis of Complications, Resource Utilization, and Cost of Care by Eliza Kruger, Justin Nedzesky, Nina Thomas, Jeffrey D. Dunn, Andrew A. Grimm

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Identification and Quality Evaluation of Raw and Processed Asarum Species Using Microscopy, DNA Barcoding, and Gas Chromatography-Mass Spectrometry by Guangzhe Yao, Wenjuan Ma, Xuhua Huang, Qi Jia, Jiayuan Shen, Yanxu Chang, Huizi Ouyang, Jun He

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Surgical treatment of obesity and excess risk of developing heart failure in a controlled cohort study by Christina E. Lundberg, Shabbar Jamaly, Martin Adiels, Jesper Lagergren, Carl Johan Svensson, Lena Björck, Annika Rosengren

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