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Antreas Kantaros, Florian Ion Tiberiu Petrescu, Hamed Abdoli, Olaf Diegel, Simon Chan, Mihaiela Iliescu, Theodore Ganetsos, Iulian Sorin Munteanu and Liviu Marian Ungureanu
Additive manufacturing has been widely used in various industries, including the healthcare sector. Over the last few decades, AM has been playing an important role in the medical field in different areas, including surgical planning, implants, and educa...
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Roman Major, Maciej Gawlikowski, Marcin Surmiak, Karolina Janiczak, Justyna Wiecek, Przemyslaw Kurtyka, Martin Schwentenwein, Ewa Jasek-Gajda, Magdalena Kopernik and Juergen M. Lackner
A major medical problem of state-of-the-art heart ventricular assist devices (LVADs) is device-induced thrombus formation due to inadequate blood-flow dynamics generated by the blood pump rotor. The latter is a highly complex device, with difficulties du...
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Khulan Sharavdorj, Ser-Oddamba Byambadorj, Yeongmi Jang, Youngjik Ahn and Jin-Woong Cho
Soil salinity is a key factor to limiting agricultural products throughout the world, especially in arid and semi-arid areas, since it intervenes with plant morpho-physiology, resulting in reduced growth and development, as well as disruption of ion home...
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Basharat A. Dar, Abdulaziz M. Assaeed, Saud L. Al-Rowaily, Abdullah A. Al-Doss, Muhammad M. Habib, Jahangir A. Malik and Ahmed M. Abd-ElGawad
Aeluropus lagopoides, a dominant palatable species in various sabkha and coastal regions of Saudi Arabia, can withstand harsh saline environments through phenotypic plasticity. When subjected to grazing, how A. lagopoides adapt phenotypically is currentl...
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Maria Balota, Sayantan Sarkar, Rebecca S. Bennett and Mark D. Burow
Peanut (Arachis hypogaea L.) plants respond to drought stress through changes in morpho-physiological and agronomic characteristics that breeders can use to improve the drought tolerance of this crop. Although agronomic traits, such as plant height, late...
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Hilal Yilanci and Pinar Gezer
Aim: The objective of this systematic review was to offer quantitative evidence regarding the influence of surface properties on the mechanical stability of miniscrews. Materials and Methods: The comprehensive search strategy involved querying databases,...
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Cai Wu, Yanwen Wang, Jiong Wang, Menno-Jan Kraak and Mingshu Wang
This study introduces a machine learning-based framework for mapping street patterns in urban morphology, offering an objective, scalable approach that transcends traditional methodologies. Focusing on six diverse cities, the research employed supervised...
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Joan D. Gonzalez-Franco, Jorge E. Preciado-Velasco, Jose E. Lozano-Rizk, Raul Rivera-Rodriguez, Jorge Torres-Rodriguez and Miguel A. Alonso-Arevalo
Improving the quality of service (QoS) and meeting service level agreements (SLAs) are critical objectives in next-generation networks. This article presents a study on applying supervised learning (SL) algorithms in a 5G/B5G service dataset after being ...
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Lujie Xiong, Yanping Jiao, Fengwei Wang and Shijian Zhou
This study utilizes 27 years of sea level anomaly (SLA) data obtained from satellite altimetry to investigate spatial?temporal variations in the South China Sea (SCS). The local mean decomposition (LMD) method is applied to decompose the sea level data i...
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Huier Mo, Yinghao Qin, Liying Wan, Yu Zhang, Xing Huang, Yi Wang, Jianyong Xing, Qinglong Yu and Xiangyu Wu
In this study, a global analysis and forecasting system at 1/12° is built for operational oceanography at the National Marine Environmental Forecasting Center (NMEFC) by using the NEMO ocean model (NMEFC-NEMO). First, statistical analysis methods are des...
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