Predicting High-Grade Patterns in Stage I Solid Lung Adenocarcinoma: A Study of 371 Patients Using Refined Radiomics and Deep Learning-Guided CatBoost Classifier by Hong Zheng MS, Wei Chen MS, Jun Liu MD, Lian Jian MD, Tao Luo BS, Xiaoping Yu MD

“…Introduction This study aimed to devise a diagnostic algorithm, termed the Refined Radiomics and Deep Learning Features-Guided CatBoost Classifier (RRDLC-Classifier), and evaluate its efficacy in predicting pathological high-grade patterns in patients diagnosed with clinical stage I solid lung adenocarcinoma (LADC). …”
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Determination of fracture mechanics parameters on a base of local displacement measurements by Yu. G. Matvienko, V.S. Pisarev, S. I. Eleonsky

“…A determination of initial experimental data at the nearest vicinity of notch tip is the main feature of the developed approach. That is why it is not necessary to involve complex numerical models, which include global geometrical parameters, loading and boundary conditions of the object under study, in a stage of experimental data interpretation. …”
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Development of 3D Chromatin Texture Analysis Using Confocal Laser Scanning Microscopy by André Huisman, Lennert S. Ploeger, Hub F. J. Dullens, Neal Poulin, William E. Grizzle, Paul J. van Diest

“…The aim of this study was to develop 3D texture features that quantitatively describe changes in chromatin architecture associated with malignancy using CLSM images. …”
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Development of mathematical model of gas flow for calibration stand of full and static pressure receivers by A. A. Versin, A. M. Molchanov, V. P. Monahova, V. A. Afanasiev

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A Deep Learning Approach to Unveil Types of Mental Illness by Analyzing Social Media Posts by Rajashree Dash, Spandan Udgata, Rupesh K. Mohapatra, Vishanka Dash, Ashrita Das

“…After examining the linguistic patterns of different social media posts, a reduced feature space is generated using appropriate feature engineering, which is further fed as input to the LSTM model to identify a type of mental illness. …”
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Skin and soft tissue modeling and its impact on apparel modeling by Carol McDonald, Randy K Rannow, Alfredo Ballester, Katy Schildmeyer, Emma Scott, Simeon Gill

“…The use of stable (skeletal feature points related to both the virtual skeleton and apparel block patterns) and morphological (skin feature points identifying areas of morphological variation and dynamic study) landmarks for connecting the skin to rig was analyzed. …”
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Skin and soft tissue modeling and its impact on apparel modeling by Carol McDonald, Randy K Rannow, Alfredo Ballester, Katy Schildmeyer, Emma Scott, Simeon Gill

“…The use of stable (skeletal feature points related to both the virtual skeleton and apparel block patterns) and morphological (skin feature points identifying areas of morphological variation and dynamic study) landmarks for connecting the skin to rig was analyzed. …”
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Skin and soft tissue modeling and its impact on apparel modeling by Carol McDonald, Randy K Rannow, Alfredo Ballester, Katy Schildmeyer, Emma Scott, Simeon Gill

“…The use of stable (skeletal feature points related to both the virtual skeleton and apparel block patterns) and morphological (skin feature points identifying areas of morphological variation and dynamic study) landmarks for connecting the skin to rig was analyzed. …”
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Skin and soft tissue modeling and its impact on apparel modeling by Carol McDonald, Randy K Rannow, Alfredo Ballester, Katy Schildmeyer, Emma Scott, Simeon Gill

“…The use of stable (skeletal feature points related to both the virtual skeleton and apparel block patterns) and morphological (skin feature points identifying areas of morphological variation and dynamic study) landmarks for connecting the skin to rig was analyzed. …”
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Integrating CEUS Imaging Features and LI-RADS Classification for Postoperative Early Recurrence Prediction in Solitary Hepatocellular Carcinoma: A Machine Learning-Based Prognostic... by Liang L, Pang J, Zhang B, Que Q, Gao R, Wu Y, Peng J, Zhang W, Bai X, Wen R, He Y, Yang H

“…Model performance was evaluated using the concordance index (C-index), area under the curve (AUC), calibration curves, decision curve analysis (DCA), and Kaplan–Meier (KM) survival analysis.Results: Five significant features identified by univariate Cox regression were included in model development: microvascular invasion (MVI), tumor size, LI-RADS classification, tumor necrosis, and arterial enhancement patterns. …”
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Development technologies and models of different types of gas reservoirs in Ordos Basin, NW China by Ailin JIA, Dewei MENG, Guoting WANG, Guang JI, Zhi GUO, Naichao FENG, Ruohan LIU, Suqi HUANG, Shuai ZHENG, Tong XU

“…The current challenges and future development directions are also discussed. Mature development models have been formed for the three representative types of gas reservoirs in the Ordos Basin: (1) Low-permeability carbonate reservoir development model featuring groove fine-scale characterization and three-dimensional vertical succession between Upper and Lower Paleozoic formations. (2) Low-permeability sandstone reservoir development model emphasizing horizontal well pressure-depletion production and vertical well pressure-controlled production. (3) Tight sandstone gas reservoir development model focusing on single-well productivity enhancement and well placement optimization. …”
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Coccolithophore Assemblage Dynamics and <i>Emiliania huxleyi</i> Morphological Patterns During Three Sampling Campaigns Between 2017 and 2019 in the South Aegean Sea (Greece, NE Me... by Patrick James F. Penales, Elisavet Skampa, Margarita D. Dimiza, Constantine Parinos, Dimitris Velaoras, Alexandra Pavlidou, Elisa Malinverno, Alexandra Gogou, Maria V. Triantaphyllou

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Development of an Integrated System of sEMG Signal Acquisition, Processing, and Analysis with AI Techniques by Filippo Laganà, Danilo Pratticò, Giovanni Angiulli, Giuseppe Oliva, Salvatore A. Pullano, Mario Versaci, Fabio La Foresta

“…The system analyzes sEMG signals to understand muscle function and neuromuscular control, employing convolutional neural networks (CNNs) for pattern recognition. The electrical signals analyzed on healthy and unhealthy subjects are acquired using a meticulously developed integrated circuit system featuring biopotential acquisition electrodes. …”
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Changes in objective characteristics in brain electrical activity in newborns as a function of birth weight by Anastasiya E. Runnova, Yuliya A. Zhuravleva, Evgeniy N. Egorov, Evgeniya E. Drozhdeva

“…Statistical estimations of the number and duration of oscillatory patterns developing in different EEG frequency ranges were performed. …”
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K-Means Clustering and Classification of Breast Cancer Images Using Histogram of Oriented Gradients Features and Convolutional Neural Network Models: Diagnostic Image Analysis Stud... by Said Salloum

“…The proposed hybrid method included three stages: (1) unsupervised clustering using K-means to group visually similar features; (2) feature extraction using Histogram of Oriented Gradients (HOG) to capture texture and shape patterns; and (3) classification using a CNN trained on the extracted features. …”
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Sex differences in placental structure and gene expression in ICR mice during embryonic development by Xinyi Man, Noriyoshi Usui, Miyuki Doi, Shoichi Shimada

“…In contrast, such sex differences in placental morphology and gene expression were not observed in C57BL/6J mice, suggesting that observed features are unique to the ICR strain. Collectively, our findings demonstrate a female-biased expansion of the JZ in ICR mice at mid-gestation and underscore the presence of strain-specific patterns in sex-dependent placental development.…”
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A SITC vision: adapting clinical trials to accelerate drug development in cancer immunotherapy by Pedro J Romero, Leisha A Emens, Elizabeth Garrett-Mayer, Valsamo Anagnostou, Jason J Luke, Ann W Silk, Thomas U Marron, Jane Perlmutter, Brianna Hoffner, Connie Szczepanek

“…Progression criteria have been redefined due to the unique response patterns of IO. Harnessing the power of both biomarkers and the neoadjuvant setting earlier in drug development is of broad interest. …”
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Multi-omics analysis of yolk and allantoic fluid in chicken embryonic development and sexual differentiation by Shaoimin Xu, Jintian Chen, Sifang Long, Hongjian Lin, Lijuan Xie, Jinming Pan

“…Egg yolk proteomics analysis showed that the metabolic requirements of chicken embryos for yolk-derived nutrients increased progressively as embryonic development progressed. It was found that although sex-specific protein expression patterns persisted throughout the developmental stages, the degree of expression differences gradually diminished with developmental time, suggesting that the protein expression of male and female embryos showed convergence in the later stages of development. …”
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Modifiable risk factors associated with the risk of developing Parkinson's disease: a critical review by Vitor Tumas, Marcelo Jhonatan Aureliano, Carlos Roberto de Melo Rieder, Artur Francisco Schumacher Schuh, Henrique Ballalai Ferraz, Vanderci Borges, Maria Carolina Soares, Dayany Leonel Boone, Carolina Candeias da Silva, Mariana Cavalcanti Costa, Delson José da Silva, Aracelle Victor do Carmo, Luana de Rezende Mikael, Bruno Lopes Santos-Lobato, Ana Lucia Zuma Rosso, Celmir de Oliveira Vilaça, Pedro Braga-Neto, André Borges Ferreira Gomes, Camila Gonçalves Monteiro Carvalho, Grace Helena Letro, Denise Hack Nicaretta, Marcus Vinicius Della Coletta, Egberto Reis Barbosa, Rubens Gisbert Cury, Francisco Eduardo Costa Cardoso, Sarah Teixeira Camargos, Ignacio Fernandez Mata

“…Lower serum levels of uric acid were associated with an increased risk of developing PD and with worse clinical features and faster progression of symptoms. …”
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Genome-wide characterization of monoacylglycerol lipase (MAGL) gene family in soybean and functional analysis of GmMAGLs in storage lipid metabolism and drought resistance by Haiqing Jing, Yan Sun, Bicheng Wang, Juhua Ma, Kun Wan, Zhanqian Li, Yali Zhou, Runzhi Li, Haiping Zhang, Jinai Xue

“…RNA-seq data revealed that GmMAGL genes displayed tissue-specific or distinct expression patterns in response to abiotic stresses and hormone treatments. …”
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