An in-depth exploration of four heterogeneity structure-based EGFR mutation subgroups in Chinese non-small cell lung cancer by Yongfeng Yu, Fei Yao, Jin Wang, Zhan Huang, Tao Hu, Changbin Zhu, Shun Lu

“…Abstract Background EGFR mutations have been classified into four functional subgroups (Classical-like, P-loop and αC-helical compressing (PACC), T790M-like, and exon 20 loop insertions) based on their influence on EGFR protein structure, as well as response to various types of EGFR-tyrosine kinase inhibitors (TKIs). …”
Get full text

Prediction of secreted uncharacterized protein structures from Beauveria bassiana ARSEF 2860 unravels novel toxins-like families by Peter F. Farag, Aya A. Elsisi, Esraa W. Elabd, Jana J. Sadek, Nada H. Mousa, Rawan M. Zaky, Sara M. Ahmed

“…We implemented the integration of well-designed bioinformatic tools to characterize and anticipate their homologous similarities at the sequence (InterPro) and structural (AlphaFold2) levels. The structural function annotation of these proteins was predicted using DeepFRI. …”
Get full text

Stuctural correlation of creative thinking skills, problem-solving, and entrepreneurial self-efficacy in biology education students: PLS SEM analysis by Ika Wardani, Murni Sapta Sari, S. Sulisetijono, Abdul Gofur, Zainuddin bin Hassan, M. Arsyad

“…Data analysis technique employed was Structural Equation Modeling (SEM) with the SmartPLS application. …”
Get full text

Generating high-resolution global unstructured meshes by Liu Zhuang, Huang Xiaomeng

“…The Spherical Centroid Voronoi tessellations(SCVT) are a kind of high-quality unstructured meshes, which are adopted by well-known earth system models at home and abroad. …”
Get full text

Modeling Techniques and Boundary Conditions in Abdominal Aortic Aneurysm Analysis: Latest Developments in Simulation and Integration of Machine Learning and Data-Driven Approaches by Burcu Ramazanli, Oyku Yagmur, Efe Cesur Sarioglu, Huseyin Enes Salman

“…Computational fluid dynamics (CFDs), finite element analysis (FEA), and fluid-structure interaction (FSI) are widely used to simulate AAA hemodynamics and biomechanics. …”
Get full text

A dataset on forest stand structures, deadwood, and tree-related microhabitats along an urban-periurban gradient in Central ItalyFigshare by Costanza Borghi, Soraya Versace, Elena Di Pirro, Davide Travaglini, Gherardo Chirici, Bruno Lasserre, Marco Marchetti, Giovanni D’Amico, Elia Vangi, Saverio Francini, Marco Montella, Giovanni Santopuoli, Marco Ottaviano, Francesco Parisi

“…This database provides accessible and georeferenced information on forest structure, tree-related microhabitats, and deadwood of 12 urban forests located in 12 different urban parks across three Italian cities, Florence, Rome, and Campobasso. …”
Get full text

Automated Modal Analysis Using Stochastic Subspace Identification and Field Monitoring Data by Shieh-Kung Huang, Zong-Zhi Lai, Hoong-Pin Lee, Yen-Yu Yang

Get full text

Integration of multimodal imaging data with machine learning for improved diagnosis and prognosis in neuroimaging by Saurabh Bhattacharya, Sashikanta Prusty, Sanjay P. Pande, Monali Gulhane, Santosh H. Lavate, Nitin Rakesh, Saravanan Veerasamy

Subjects: Get full text

Bridge Damage Identification Using Time-Varying Filtering-Based Empirical Mode Decomposition and Pre-Trained Convolutional Neural Networks by Shenghuan Zeng, Jian Cui, Ding Luo, Naiwei Lu

“…Structural damage identification provides a theoretical foundation for the operational safety and preventive maintenance of in-service bridges. …”
Get full text

JASBO: Jaya Average Subtraction Based Optimization with Deep Learning Model for Multi-Classification of Infectious Disease from Unstructured Data by Vian Sabeeh, Ahmed Bahaaulddin A. Alwahhab, Ali Abdulmunim Ibrahim Al-kharaz

“…In this research, proposed Jaya Average Subtraction Based Optimization (JASBO), which is enabled by Deep Learning (DL) is used to classify infectious diseases into many categories from unstructured data. Moreover, the DL model used is Infectious Disease Network (ID-Net) which combines Convolutional Neural Network (CNN) and Bidirectional-Long Short-Term Memory (Bi-LSTM). …”
Get full text

A novel data-driven based high-precision building roof contour full-automatic extraction and structured 3D reconstruction method combining stereo images and LiDAR points by Xiongwu Xiao, Kai Wang, Zhichao Zhong, Wenhu Qu, Weiwei Wu, Zhigao Cui, Yanzhao Su, Aihua Li, Jianya Gong, Deren Li

Subjects: “…Data-driven building roof extraction…”
Get full text

Depth-specific soil moisture estimation in vegetated corn fields using a canopy-informed model: A fusion of RGB-thermal drone data and machine learning by Milad Vahidi, Sanaz Shafian, William Hunter Frame

Get full text

3,5,6-Trichloropyridin-2-ol by Tashonda M. Vaughn, Saneei Soheil, Olalekan M. Ogundele, Frank R. Fronczek, Rao M. Uppu

Get full text

2-(10-Phenylanthracen-9-yl)-2,3-dihydro-1H-naphtho[1,8-de][1,3,2]diazaborinine by Fanyi Meng, Shimin Zhou

Get full text

2′-Amino-5′-benzoyl-5-bromo-6′-methyl-2-oxospiro[indoline-3,4′-pyran]-3′-carbonitrile by Farid N. Naghiyev, Tuncer Hökelek, Victor N. Khrustalev, Ali N. Khalilov, Alebel N. Belay

Get full text

2-Amino-6-nitro-1,3-benzothiazol-3-ium 3-carboxy-4-hydroxybenzene-1-sulfonate by Joseph Tsemeugne, Didier Forest Kouganou Djossu, Dieter Schollmeyer, Pierre Mkounga

Get full text

5-Acetyl-2-amino-4-(2-fluorophenyl)-6-methyl-4H-pyran-3-carbonitrile dichlomethane hemisolvate by Carren Nyapola, Sizwe J. Zamisa, Bernard Omondi, Eric M. Njogu

Get full text

1-[(2-Bromophenyl)diphenylmethyl]-3-(trifluoromethyl)-1H-pyrazole–1-(triphenylmethyl)-3-(trifluoromethyl)-1H-pyrazole (0.638:0.362) by Firudin I. Guseinov, Aida I. Samigullina, Tuncer Hökelek, Sahil Z. Hamidov, Jamal Lasri, Khudayar I. Hasanov, Tahir A. Javadzade, Alebel N. Belay

Get full text

Dynamics of tertiary lymphoid structures and immune cross talk in early versus advanced colorectal cancer: potential implications for immunotherapy by Zixu Chen, Bang Hu, Keyu Cai, Han Gao, Zhenyu Xian, Shuang Zhang, Zhen Fang, Qian Zhou, Donglin Ren, Qi Zou

“…Methods We comprehensively analyzed single-cell RNA sequencing data, bulk RNA transcription data and pathological tissue data to investigate the dynamic changes in the TME. …”
Get full text

Checklist of pioneer benthic taxa found on Autonomous Reef Monitoring Structures (ARMS) in Terra Nova Bay (Ross Sea, Antarctica) by Valentina Cometti, Matteo Cecchetto, Alice Guzzi, Marco Grillo, Nicholas Noli, Simonetta Corsolini, Stefano Schiaparelli

“…This dataset provides essential baseline data on the occurrence and abundance of pioneer benthic communities in this study area, representing an important contribution for understanding the dynamics of benthic pioneer communities in an area where these structures have never been deployed and, in general, for an exposure time that largely exceed the standard one, which is usually of one year only.The 277 occurrences reported here have been classified at the lowest possible taxonomic level and comprise 39 recognised species, 49 genera and 43 families. …”
Get full text