Patterns of diversity in biomedical coauthorships: An analysis across authors' ethnicity, gender, age, and expertise. by Apratim Mishra, Haejin Lee, Sullam Jeoung, Vetle I Torvik, Jana Diesner

“…Our findings reveal a consistent pattern of demographic homophily, where scientists tend to collaborate with others who share similar ethnic and gender backgrounds. …”
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Dietary pattern and risk of thyroid cancer: a systematic review and meta-analysis protocol by Kleyton Santos Medeiros, Jose Brandao-Neto, Yasmin Guerreiro Nagashima, Aline Alves Soares, Camila Xavier Alves, Marcia Marilia Gomes Dantas Lopes

“…While there is currently no conclusive evidence linking dietary factors to thyroid cancer, certain dietary patterns seem to have an impact on the development of the disease. …”
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Biogeographic patterns of modern benthic shallow-water molluscs and the roles of temperature and palaeogeographic legacy by Thomas A. Neubauer, Serge Gofas, Mathias Harzhauser

“…Here, we review the relevance of contemporary climatic conditions and ocean circulation patterns and their geological legacy on the distribution of marine benthic biota, using Mollusca as a model group. …”
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Maxillary sinus volume changes in individuals with different craniofacial skeletal patterns: CBCT study by Kevser Dinç, Derya İçöz

“…Our study aimed to evaluate the maxillary sinus volume (MSV) in individuals with different sagittal skeletal patterns via cone beam computed tomography (CBCT). …”
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Predicting Invasiveness in Lepidic Pattern Adenocarcinoma of Lung: Analysis of Visual Semantic and Radiomic Features by Sean F. Johnson, Seyed Mohammad Hossein Tabatabaei, Grace Hyun J. Kim, Bianca E. Villegas, Matthew Brown, Scott Genshaft, Robert D. Suh, Igor Barjaktarevic, William Dean Wallace, Fereidoun Abtin

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Time series segmentation for recognition of epileptiform patterns recorded via microelectrode arrays in vitro. by Gabriel Galeote-Checa, Gabriella Panuccio, Angel Canal-Alonso, Bernabe Linares-Barranco, Teresa Serrano-Gotarredona

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Chest CT in Pulmonary Fibrosis: A Narrative Review of Imaging Patterns and Their Prognostic Significance by Mehrshad Dabbagh, Mohammad Amin Shajareh Pour Salavati, Yas Zeinaly Parizi

“…Characteristic HRCT findings, such as honeycombing, reticulation, ground-glass opacities, and traction bronchiectasis, were analyzed in the context of usual interstitial pneumonia (UIP) and nonspecific interstitial pneumonia (NSIP) patterns. UIP pattern on HRCT is strongly associated with IPF and confers a worse prognosis compared to NSIP or other non-UIP patterns. …”
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Bio-inspired neural networks with central pattern generators for learning multi-skill locomotion by Chuanyu Yang, Can Pu, Yuan Zou, Tianqi Wei, Cong Wang, Zhibin Li

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The transmission modulation effect of patterns on the light extraction of ultraviolet-C light emitting diodes by Yucheng Tian, Hui Wang, Huimin Lu, Zhizhong Chen, Tongjun Yu

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The Role of Poverty and Gender in Shaping Households’ Energy Consumption Patterns in Selected European Countries by Florian Marcel Nuță, Alina Gabriela Mărcuță, Levente Dimen, Liviu Mărcuță, Lucian Gaban, Nargiz Hajiyeva, Alina Cristina Nuta

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Brain activity patterns reflecting security perceptions of female cyclists in virtual reality experiments by Mohammad Arbabpour Bidgoli, Arian Behmanesh, Navid Khademi, Phromphat Thansirichaisree, Zuduo Zheng, Sara Saberi Moghadam Tehrani, Sajjad Mazloum, Sirisilp Kongsilp

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Exploring the Spatial Patterns of Accessibility to Metro Services Considering the Locations of Station Entrances/Exits by Congxiao Yan, Yueer Gao, Yifu Yang

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Optimized Energy Consumption of Electric Vehicles with Driving Pattern Recognition for Real Driving Scenarios by Bedatri Moulik, Sanmukh Kaur, Muhammad Ijaz

“…The primary contribution of this work is to develop a novel two-layer driving pattern recognition (DPR) system for roadway type and traffic classification, thus enabling the identification of unknown patterns for the enhancement of the prediction of energy consumption of an electric vehicle (EV). …”
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Learning Power Systems Waveform Incipient Patterns Through Few-Shot Meta-Learning by Lixian Shi, Qiushi Cui, Yang Weng, Yigong Zhang, Shilong Chen, Jian Li, Wenyuan Li

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Identification of population multimorbidity patterns in 3.9 million patients from Bogota in 2018 by Carolina Saavedra-Moreno, Rafael Hurtado, Nubia Velasco, Andrea Ramírez

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LeafLaminaMap: Exploring Leaf Color Patterns Using RGB Color Indices by Péter Bodor-Pesti, Lien Le Phuong Nguyen, Thanh Ba Nguyen, Mai Sao Dam, Dóra Taranyi, László Baranyai

“…Pigmentation and its pattern provide the possibility to distinguish genotypes and a basis for annual crop management practices. …”
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Study on diffusion patterns of multi-component systems in porous media of carbonate gas storage by ZHANG Ruihan, HU Bo, PENG Xian, ZHANG Fei, WANG Yongchao, ZHAO Yulong

“…These findings provide experimental and computational methods for accurately predicting the patterns of gas storage operations and designing rational operational strategies.…”
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Research on the patterns of displacement of residual natural gas by nitrogen from a depleted reservoir by L. I. Matiishyn, R. M. Kondrat

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Media Role of Graphic in Harmonizing The Meanings Association Pattern with Forms of Expression and Literacy Genre by Amir Reza Estakhrian Haghighi, Setareh Ahsant

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Fast Single Pbase Algoritbm for Utility Mining in Big Data by Junqiang Liu, Qingfeng Zhou, Wenhui Wang, Lei Shi

“…Most of the latest works on utility mining generates a huge number of candidates in dealing with big data,which suffers from the scalability issue.Some work does not generate candidates,but suffers from the efficiency issue due to lack of strong pruning and high computation overhead.A novel algorithm that finds high utility patterns in a single phase without generating candidates was proposed.The novelties lie in a prefix growth strategy with strong pruning,and a sparse matrix based representation of transactions with pseudo projection.The proposed algorithm works in a depth first manner and does not materialize high utility patterns in memory,which further improves the scalability.Extensive experiments on synthetic and rea1-world data show that the proposed algorithm outperforms the latest works in terms of running time,memory overhead,and scalability.…”
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