Filtering Data of High-Resolution Terrestrial Laser Scanner and Effects of Filtrations on the Landslide Monitoring by Mustafa Zeybek, İsmail Şanlıoğlu, Aşır Genç

“…The results revealed that the filtered comparison analyzes were evaluated easier. In addition, changes in plant cover in different periods for the comparison of models has been automatically filtered and the landslide movements have been interpreted with purifying from artificial distortion.…”
Get full text

Video microscopy: an old story with a bright biological future by Léa-Isabelle Renaud, Kelliane Béland, Eric Asselin

“…Abstract Single-cell analysis is increasingly popular in the field of biology, enabling more precise analyses of heterogeneous phenomena, particularly in the fields of embryology and the study of different diseases. At the heart of this evolution is video microscopy, an ancient but revolutionary technique. …”
Get full text

Optimización de la distribución de piezas irregulares en chapas // Irregular parts nesting problem optimization. by A. M. Lastres - Aleaga, J. Arbola - Ruiz, A. Cordovés - García

“…In the generation of</p><p>populations of possible solutions, using an algorithm based on the method of integration variables, in</p><p>addition is made comparing the results obtained by the proposed method with other results generated</p><p>by procedures developed by different authors, achieving improved use of material values and</p><p>reducing the generation time for solutions.…”
Get full text

Feature selection and aggregation for antibiotic resistance GWAS in Mycobacterium tuberculosis: a comparative study by Kirill Reshetnikov, Daria Bykova, Daria Bykova, Konstantin Kuleshov, Konstantin Kuleshov, Konstantin Chukreev, Egor Guguchkin, Alexey Neverov, Gennady Fedonin

“…In this study, we evaluated several such methods, namely, logistic regression with different regularization penalty functions, a recently introduced algorithm for solving the best-subset selection problem (ABESS) and “Hungry, Hungry SNPos” (HHS) a heuristic algorithm specifically developed to identify resistance-associated genetic variants in the presence of resistance co-occurrence. …”
Get full text

Multi-modal prediction of breast cancer using particle swarm optimization with non-dominating sorting by Vijayalakshmi S, John A, Sunder R, Senthilkumar Mohan, Sweta Bhattacharya, Rajesh Kaluri, Guang Feng, Usman Tariq

“…The experimental results of the study are evaluated against the state-of-the-art algorithms, namely, genetic algorithm kernel density estimation and particle swarm optimization kernel density estimation wherein the results justify the superiority of the proposed model.…”
Get full text

Multiplex Real-Time PCR Assay Using TaqMan Probes for the Identification of Trypanosoma cruzi DTUs in Biological and Clinical Samples. by Carolina I Cura, Tomas Duffy, Raúl H Lucero, Margarita Bisio, Julie Péneau, Matilde Jimenez-Coello, Eva Calabuig, María J Gimenez, Edward Valencia Ayala, Sonia A Kjos, José Santalla, Susan M Mahaney, Nelly M Cayo, Claudia Nagel, Laura Barcán, Edith S Málaga Machaca, Karla Y Acosta Viana, Laurent Brutus, Susana B Ocampo, Christine Aznar, Cesar A Cuba Cuba, Ricardo E Gürtler, Janine M Ramsey, Isabela Ribeiro, John L VandeBerg, Zaida E Yadon, Antonio Osuna, Alejandro G Schijman

“…<h4>Methods/principal findings</h4>The MTq-PCR has been evaluated in 39 cultured stocks and 307 biological samples from vectors, reservoirs and patients from different geographical regions and transmission cycles in comparison with a multi-locus conventional PCR algorithm. …”
Get full text

A Low-Cost Antipodal Vivaldi Antenna-Based Peanut Defect Rate Detection System by Yuanyuan Yin, Fangyan Ma, Xiaohong Liu, Shuhao Wang, Junjie Xia, Liqing Zhao

“…In this study, we introduce an innovative non-destructive evaluation method for peanut defects. Differing from traditional and often expensive or complex detection methods, our approach utilizes a low-cost antipodal Vivaldi antenna, complemented by a custom-designed defect rate detection system. …”
Get full text

Preliminary Capture Trajectory Design for Europa Tomography Probe by Lorenzo Federici, Alessandro Zavoli, Guido Colasurdo

“…Suitable trajectories are provided by an optimization code based on the parallel running of several differential evolution algorithms. Different solutions are finally compared in terms of propellant consumption and flight time.…”
Get full text

General Three-Body Problem in Conformal-Euclidean Space: New Properties of a Low-Dimensional Dynamical System by Ashot S. Gevorkyan, Aleksander V. Bogdanov, Vladimir V. Mareev

“…An effective mathematical algorithm is developed for the numerical simulation of the general three-body problem, which is traditionally a difficult-to-solve system of stiff ordinary differential equations.…”
Get full text

Improved Understanding of Multicentury Greenland Ice Sheet Response to Strong Warming in the Coupled CESM2‐CISM2 With Regional Grid Refinement by Ziqi Yin, Adam R. Herrington, Rajashree Tri Datta, Aneesh C. Subramanian, Jan T. M. Lenaerts, Andrew Gettelman

“…The VR grid better captures the CISM ice sheet topography by reducing elevation discrepancies between CAM and CISM and is, therefore, less reliant on the downscaling algorithm, which is known to underestimate albedo gradients. …”
Get full text

A Novel Prediction Model for the Sales Cycle of Second-Hand Houses Based on the Hybrid Kernel Extreme Learning Machine Optimized Using the Improved Crested Porcupine Optimizer by Bo Yu, Deng Yan, Han Wu, Junwu Wang, Siyu Chen

“…In addition, this paper discusses the performances of different chaotic maps to improve the CPO and proves that the algorithm including chaotic maps, mixed mutation, and tangent flight has the best performance. …”
Get full text

Research and analysis of differential gene expression in CD34 hematopoietic stem cells in myelodysplastic syndromes. by Min-Xiao Wang, Chang-Sheng Liao, Xue-Qin Wei, Yu-Qin Xie, Peng-Fei Han, Yan-Hui Yu

“…After comprehensive evaluation, we ultimately selected three algorithms-Lasso regression, random forest, and support vector machine (SVM)-as our core predictive models. …”
Get full text

Recent advances in autoimmune encephalitis by João Henrique Fregadolli Ferreira, Caio César Diniz Disserol, Bruna de Freitas Dias, Alexandre Coelho Marques, Marina Driemeier Cardoso, Pedro Victor de Castro Silva, Fabio Fieni Toso, Lívia Almeida Dutra

“…The diagnostic criteria for AE were adapted to the pediatric population, and a diagnostic algorithm was proposed, considering potential mimics and misdiagnosis. …”
Get full text

Early prediction of bone destruction in rheumatoid arthritis through machine learning analysis of plasma metabolites by Zihan Wang, Tianyi Lan, Yi Jiao, Xing Wang, Hongwei Yu, Qishun Geng, Jiahe Xu, Cheng Xiao, Qingwen Tao, Yuan Xu

“…Of the 774 detected metabolites, 77 differed between patients with different outcomes. …”
Get full text

Whole genome resequencing reveals genetic diversity, population structure, and selection signatures in local duck breeds by Pengwei Ren, Yongdong Peng, Liu Yang, Muhammad Zahoor Khan, Yadi Jing, Chao Qi, Zhansheng Liu, Shuer Zhang, Nenzhu Zheng, Meixia Zhang, Xiang Liu, Zhiming Zhu, Mingxia Zhu

“…Conclusions This study, utilizing genome sequencing data and machine learning algorithms, provides a comprehensive evaluation of the genetic resources of Shandong’s local duck breeds. …”
Get full text

Developing an efficient explainable artificial intelligence approach for accurate reverse osmosis desalination plant performance prediction: application of SHAP analysis by Meysam Alizamir, Mo Wang, Rana Muhammad Adnan Ikram, Sungwon Kim, Kaywan Othman Ahmed, Salim Heddam

“…The modelling outcomes obtained during the evaluation stage demonstrated the efficacy of the SVR algorithm in enhancing the precision of permeate flow forecasts, utilizing relevant input variables.…”
Get full text

Microcomputed tomography as a diagnostic tool for detection of lymph node metastasis in non-small cell lung cancer: A decision-support approach for pathological examination “A pilo... by Ayten Kayı Cangır, Süleyman Gökalp Güneş, Kaan Orhan, Hilal Özakıncı, Yusuf Kahya, Duru Karasoy, Serpil Dizbay Sak

“…Background: Non-small cell lung cancer (NSCLC) patients without lymph node (LN) metastases (pN0) may exhibit different survival rates, even when their T stage is similar. …”
Get full text

An explorative study on movement detection using wearable sensors in acute care hospital patients by Joris Kirchberger, Dominik Kunz, Guido Perrot, Sven Hirsch, Maren Leifke, Bianca Hölz, Lukas Geissmann, Miro Käch, Samuel Wehrli, Jens Eckstein

“…We collected raw accelerometer and gyroscope data from three different body locations (wrist, ankle, and thigh) from 40 patients at the University Hospital Basel. …”
Get full text

Method of Entry Layout under Synergistic Effects of Abutment Stress and Dynamic Stress by Wenlong Shen, Guocang Shi, Meng Wang, Tenglong Rong, Yungang Wang, Ruifeng Zhang, Xiangyu Wang, Jianbiao Bai

“…The analysis procedure can be repeatable and necessary since the rock and coal materials may be different in geological and engineering conditions.…”
Get full text

Computed tomography-derived quantitative imaging biomarkers enable the prediction of disease manifestations and survival in patients with systemic sclerosis by Gabriela Riemekasten, Felix Nensa, Hanna Grasshoff, René Hosch, Malte Maria Sieren, Lennart Berkel, Jörg Barkhausen, Roman Kloeckner, Franz Wegner

“…An artificial intelligence-based 3D body composition analysis (BCA) algorithm assessed muscle volume, different adipose tissue compartments, and bone mineral density. …”
Get full text