Investigating the effect of various lengths of bamboo straw on the mechanical properties of adobe by Balfaqih Ahmed, Baarimah Abdullah O., Yafouz Ayman, Yahaya Fadzil Mat, Najah Ali

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Simulating responses of riparian ecosystem network complexity to flow regime shifts in arid regions by Mengmeng Zhang, Chengyi Zhao, Jianting Zhu, Wangya Han, Wenqi Jiang

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From InSAR‐Derived Subsidence to Relative Sea‐Level Rise—A Call for Rigor by P. S. J. Minderhoud, M. Shirzaei, P. Teatini

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Study on the Adhesion Properties of Raw Coal and Adhesive Clogging Characteristics of Underground Coal Bunkers by Chongyang Jiang, Lianguo Wang, Zhiyuan Pan, Jiaxing Guo, Shuai Wang

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Fatigue property evaluation of 7075/6061 aluminum alloy TIG welded overlap joints by LIAO Xiangyun, WANG Ruijie, LIU Guoshou, ZHAO Pinglin, CHANG Yaguang, WANG Zhongde

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Assessing cell lines with inducible depletion of cohesin and condensins components through analysis of metaphase chromosome morphology by A. M. Yunusova, A. V. Smirnov, I. E. Pristyazhnuk, T. A. Shnaider, E. K. Maltseva, S. D.  Afonnikova, O. A. Gusev, N.  R. Battulin

“…To select clones induced by depletion of the architectural chromatin proteins RAD21 (a component of the cohesin complex) and SMC2 (a component of the condensin complex), we propose to use the morphology of metaphase chromosomes as a convenient functional test. …”
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The Restoration Effect of Degraded Grassland Depends on the Response of Species Root Distribution to Resource Availability by Yiming Zhao, Hui Li, Fei Peng, Dabu Xilatu, Qing Chen, Shan Lin

“…The purpose of this study is to explore a method to distinguish the response of various plant root architectures to the resource availability in a mixed ecosystem in situ. …”
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Morphophysiological and molecular characterization of millet (Panicum miliaceum L.) varieties for crop improvement in Western Europe by Massimo Vischi, Nicola Zorzin, Maria Bernhart, Johanna Winkler, Dipak Santra, Carla Pappalardo, Stefano Marchetti

“…Results Morphometric analyses showed that varieties have several diverging phenotypic traits and architectures. In all instances, yields recorded at field level were much lower than potential yields. …”
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Chemical Composition Characteristics and Source Apportionment of PM2.5 in Ceramic Industrial Base during Winter by Xiang Tu, Xiaozhen Fang, Hansun Fang, Changlin Ye, Zugen Liu, Xuehui Jia, Dan He, Jinliang Wang, Hong Huang, Changwei Zou, Chenglong Yu

“…Abstract The national architectural ceramic industrial center in east China is suffering from serious ambient fine particle pollution. …”
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Karyopherin Alpha 2-Expressing Pancreatic Duct Glands and Intra-Islet Ducts in Aged Diabetic C414A-Mutant-CRY1 Transgenic Mice by Satoshi Okano, Akira Yasui, Shin-ichiro Kanno, Kennichi Satoh, Masahiko Igarashi, Osamu Nakajima

“…To assess the feature of the expression of KPNA2 in the development of the ductal atypia and islet architectures, we scrutinized the pancreas of Tg mice histopathologically. …”
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Digital business strategy of enterprise and its components by Liubov Lipych

“…These include: use of various information, use of multi-vector business models, coordination of models in networks, control of network architecture…”
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Predicting breast cancer recurrence using deep learning by Deepa Kumari, Mutyala Venkata Sai Subhash Naidu, Subhrakanta Panda, Jabez Christopher

“…Utilizing the Wisconsin Diagnostic Breast Cancer and Wisconsin Prognostic Breast Cancer datasets, the framework integrates multiple deep learning architectures- Multi layer Perceptron (MLP), Visual Geometry Group (VGG), Residual Network (ResNet), and Extreme Inception (Xception)-with traditional machine learning models such as Support Vector Machine (SVM), Decision Trees (DT), Random Forest (RF), and Logistic Regression (LR). …”
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Metal oxides carbon xerogel nanocomposite for methanol oxidation fuel cell by Fatma Mohamed, Mohamed Shaban, Omnia M. Salem

“…The combination of distinct active materials with distinctive architectures may facilitate the attainment of this objective. …”
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A Framework for Early Detection of Acute Lymphoblastic Leukemia and Its Subtypes From Peripheral Blood Smear Images Using Deep Ensemble Learning Technique by Sajida Perveen, Abdullah Alourani, Muhammad Shahbaz, M. Usman Ashraf, Isma Hamid

“…Experimental results are obtained and comparative analysis among 7 well-known CNN Network architectures (AlexNet, VGGNet, Inception, ResNet-50, ResNet-18, Inception and DenseNet-121) is also performed that demonstrated that the proposed platform achieved comparatively high accuracy (99.95%), precision (99.92%), recall (99.92%), F1-Score (99.90%), sensitivity (99.92%) and specificity (99.97%). …”
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Depression Detection and Diagnosis Based on Electroencephalogram (EEG) Analysis: A Systematic Review by Kholoud Elnaggar, Mostafa M. El-Gayar, Mohammed Elmogy

“…The potential of transfer learning and encoder-decoder architectures to leverage pre-trained models and enhance diagnostic performance is also discussed. …”
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Fetal-BET: Brain Extraction Tool for Fetal MRI by Razieh Faghihpirayesh, Davood Karimi, Deniz Erdogmus, Ali Gholipour

“…Using this dataset, we developed and validated deep learning methods, by exploiting the power of the U-Net style architectures, the attention mechanism, feature learning across multiple MRI modalities, and data augmentation for fast, accurate, and generalizable automatic fetal brain extraction. …”
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Chronic lung lesions in COVID-19 survivors: predictive clinical model by Paulo A Lotufo, Juliana C Ferreira, Eloisa Bonfa, Anna S Levin, Rodrigo Caruso Chate, Marta Imamura, Esper G Kallas, Roger Chammas, Thais Mauad, Izabel Marcilio, Nelson Gouveia, Ricardo Nitrini, José Eduardo Krieger, Marcio Valente Yamada Sawamura, Michelle Louvaes Garcia, Cristiano Gomes, Guilherme Fonseca, Jorge Hallak, Luis Yu, Marcio Mancini, Maria Elizabeth Rossi, Thiago Avelino-Silva, Edivaldo M Utiyama, Aluisio C Segurado, Beatriz Perondi, Anna Miethke-Morais, Amanda C Montal, Leila Harima, Marjorie F Silva, Marcelo C Rocha, Maria Amélia de Jesus, Carolina Carmo, Clarice Tanaka, Julio F M Marchini, Thaís Guimarães, Ester Sabino, Carlos Roberto Ribeiro Carvalho, Celina Almeida Lamas, Diego Armando Cardona Cardenas, Daniel Mario Lima, Paula Gobi Scudeller, João Marcos Salge, Cesar Higa Nomura, Marco Antonio Gutierrez, Adriana L Araújo, Bruno F Guedes, Carolina S Lázari, Cassiano C Antonio, Claudia C Leite, Emmanuel A Burdmann, Euripedes C Miguel, Fabio R Pinna, Fabiane Y O Kawano, Geraldo F Busatto, Giovanni G Cerri, Heraldo P Souza, Izabel C Rios, Larissa S Oliveira, Linamara R Batisttella, Luiz Henrique M Castro, Marcello M C Magri, Maria Cassia J M Corrêa, Maria Cristina P B Francisco, Maura S Oliveira, Orestes V Forlenza, Ricardo F Bento, Rodolfo F Damiano, Rossana P Francisco, Solange R G Fusco, Tarcisio E P Barros-Filho, Wilson J Filho

“…Almost half of them (48%) had significant pulmonary abnormalities, including ground-glass opacities, parenchymal bands, reticulation, traction bronchiectasis and architectural distortion. The machine learning model, including the results of 257 patients with complete data on mMRC, SpO2, FVC, CXR and CT, accurately detected pulmonary lesions by the joint data of CXR, mMRC scale, SpO2 and FVC (sensitivity, 0.85±0.08; specificity, 0.70±0.06; F1-score, 0.79±0.06 and area under the curve, 0.80±0.07).Conclusion A predictive clinical model based on CXR, mMRC, oximetry and spirometry data can accurately screen patients with lung lesions after SARS-CoV-2 infection. …”
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Radiological abnormalities persist following COVID-19 and correlate with impaired health-related quality of life: a prospective cohort study of hospitalised patients by Rhian M Touyz, Ninian N Lang, Kevin G Blyth, Naveed Sattar, Patrick B Mark, Stefan Siebert, Colin Berry, Iain McInnes, Giles Roditi, Neil Basu, David Corcoran, Kenneth Mangion, Alex McConnachie, David Carrick, Jaclyn Carberry, Stuart Watkins, Paul Welsh, Sabrina Nordin, Katherine Scott, Christian Delles, Bernard Kelly, Fraser Goldie, John GF Cleland, Sharon Kean, Peter Kellman, David J Lowe, Andrew J Morrow, Antonia Ho, Rosemary Woodward, Tracey Hopkins, Ryan Wereski, Massimo Palmarini, Alasdair McIntosh, Campbell Rogers, Ammani Brown, Catherine Bagot, Kathryn Scott, Robert Sykes, Colin Church, Claire Rooney, Nicola Ryan, Clare Orange, Dirk Husmeier, Xiaoyu Luo, PETER W MACFARLANE, Heerajnarain Bulluck, Iain Findlay, Evonne McLennan, Michael Briscoe, Oliver Peck, Alastair J Rankin, Gruschen Veldtman, Varun Sharma, Kathryn McLaren, Elaine Butler, Sarah Mullen, Andrew Morrow, Patrick Mark, Daniel Doherty, Alexander Payne, Jennifer S Lees, Kaitlin J Mayne, Louise Inglis, Anna Kamdar, Hannah Bayes, Vivienne B Gibson, Lynsey Gillespie, Douglas Grieve, Pauline Hall Barrientos, Christopher McGinley, Connor Mckee, Sarah Allwood-Spiers, Sarah Weeden, Laura Knox, Lynn Abel, David Stobo, Andrew Dougherty, Liam Peng, David Barrie Stobo, Sylvia Wright, Stephen Dobbin, Keith Gillis, Sarah A Spiers, Ian Fergus, Kirsty Fallon, Lesley Gilmour, Chloe Cowan, Jurgen Van-Melckebeke, Kim Moran-Jones, Debra Stuart, Maureen Travers, Laura Dymock, Fiona Savage, Nicola Tynan, Sau Lee Chang, Mhairi Dupre, Lindsey Norton, George Bruce, Rosario Gonzalez-Lopez, Rebecca Stace, Dionne Russell, Jean Watt, Shahid Latif, Nick Hill, Amy Collinsworth, Ross McGeoch Vera Lennie, Robin P Weir

“…This included ground-glass opacification (45%), reticulation/architectural distortion (30%) or mixed pattern (19%). …”
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Designing and Construction of a Traditional Hand Bellow Device. by Olwal, Dunoish

“…Blacksmiths create diverse items, including tools, weapons, decorations, and architectural components, using techniques like hammering, bending, and cutting. …”
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Performing Structure. Tempo in Glenn Gould’s “Goldberg Variations” by Michael Rector

“…Empirical analysis of Gould’s 1981 recording shows how the processual logic of Gould’s execution contrasts with the architectural emphasis of the theoretical literature on proportional tempo. …”
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