REPRESENTASI MATEMATIS SISWA DALAM PEMECAHAN MASALAH PERBANDINGAN TRIGONOMETRI PADA SEGITIGA SIKU-SIKU DITINJAU DARI KECERDASAN LOGIS MATEMATIS, LINGUISTIK DAN VISUAL SPASIAL by Merlin Hitalessy, Wilmintjie Mataheru, Carolina Selfisina Ayal

“…One of the skills needed in learning mathematics is the ability to solve mathematical problems. …”
Get full text

Parametric Analysis of Auxetic Honeycombs by Stefan Tabacu, Ana-Gabriela Badea, Alina-Ionela Aparaschivei, Daniel-Constantin Anghel

“…The auxetic honeycomb can change mechanical behavior from positive to negative Poisson’s ratio by slightly adjusting the geometrical feature. As a first step, the paper investigates existing analytical solutions to the problem to provide the theoretical background. …”
Get full text

A Critical Review of Français Général Pour les Etudiants des Universités by Kamyar Abdoltajedini, Nazita Azimi Meibodi

“…And finally, in a third step, relying on the Global Approach of Moirand (1979), we noted that the method of the book to teach reading understanding is bottom-up. …”
Get full text

Foundations of a knee joint digital twin from qMRI biomarkers for osteoarthritis and knee replacement by Gabrielle Hoyer, Kenneth T. Gao, Felix G. Gassert, Johanna Luitjens, Fei Jiang, Sharmila Majumdar, Valentina Pedoia

“…We combined deep learning-based segmentation of knee joint structures with dimensionality reduction to create an embedded feature space of imaging biomarkers. …”
Get full text

The System Research and Implementation for Autorecognition of the Ship Draft via the UAV by Wei Zhan, Shengbing Hong, Yong Sun, Chenguang Zhu

“…In order to solve the above problems, this paper introduces the computer image processing technology based on deep learning, and the specific process is divided into three steps: first, the video sampling is carried out by the UAV to obtain a large number of pictures of the ship draft reading face, and the images are preprocessed; then, the deep learning target detection algorithm of improved YOLOv3 is used to process the images to predict the position of the waterline and identify the draft characters; finally, the prediction results are analyzed and processed to obtain the final reading results. …”
Get full text

Digital fundus image quality assessment by V. V. Starovoitov, Y. I. Golub, M. M. Lukashevich

“…Contrast, sharpness and possibility of segmentation of the vascular system on the retinal image are evaluated step by step. It is shown that the problem of no-reference image quality assessment of an arbitrary fundus image can be solved.Experiments were performed on a variety of images from the available retinal image databases.…”
Get full text

A robust and adaptive framework for interaction testing in quantitative traits between multiple genetic loci and exposure variables. by Julian Hecker, Dmitry Prokopenko, Matthew Moll, Sanghun Lee, Wonji Kim, Dandi Qiao, Kirsten Voorhies, Woori Kim, Stijn Vansteelandt, Brian D Hobbs, Michael H Cho, Edwin K Silverman, Sharon M Lutz, Dawn L DeMeo, Scott T Weiss, Christoph Lange

“…Based on the user's choice of statistical/machine learning approaches, a screening step selects and combines potential interactions into scores with improved interpretability. …”
Get full text

Design of an intelligent post-diagnosis decision support system for highly automated trucks by Xin Tao, Lina Rylander, Jonas Mårtensson

“…Using a real-world freight delivery scenario and a risk-based decision-making approach, we present a case study to instantiate the DSS design, including graphical user interface designs and a step-by-step use case scenario. This work aims to adapt post-diagnosis decision-making for automated trucks at both technological and managerial levels, thereby enhancing vehicle reliability and transport efficiency.…”
Get full text

Automated classification of epileptic seizures using modified one-dimensional convolution neural network based on empirical mode decomposition with high accuracy by Ibtihal Hassan Elshekhidris, Magdi B. M. Amien, Ahmed Fragoon

“…Traditional methods of machine learning require step of feature extraction by manual which leads to time consuming, for it we modified in one-Dimensional convolution neural network architecture for features extraction and features dimension reduction for makes the classification low computational complexity and more accurate.Methods: In this study, we did a comparison between three methods for classification: support vector machine, artificial neural network and one-dimensional convolution neural network. …”
Get full text

A First-Order Autoregressive Process with Size-Biased Lindley Marginals: Applications and Forecasting by Hassan S. Bakouch, M. M. Gabr, Sadiah M. A. Aljeddani, Hadeer M. El-Taweel

“…Some probabilistic and statistical properties of the proposed process are determined, including the distribution of its innovation process, the Laplace transformation function, multi-step-ahead conditional measures, autocorrelation, and spectral density function. …”
Get full text

Advancing Precision Agriculture Through Digital Twins and Smart Farming Technologies: A Review by Muhammad Awais, Xiuquan Wang, Sajjad Hussain, Farhan Aziz, Muhammad Qasim Mahmood

“…The study systematically examines the current state of DT adoption, identifies key barriers, and computational efficiency challenges, and provides a step-by-step methodology for DT implementation. The review sheds light on potential future research direction and implications for policy, with the aim to speed up the adoption of DTs-based farm management systems in their operational success and commercial viability through analysis of practical applications and future perspectives. …”
Get full text

Model-Based Feature Extraction and Classification for Parkinson Disease Screening Using Gait Analysis: Development and Validation Study by Ming De Lim, Tee Connie, Michael Kah Ong Goh, Nor ‘Izzati Saedon

“…The kinematic features analyzed include shoulder distance, step length, stride length, knee and hip angles, leg and arm symmetry, and trunk angles. …”
Get full text

The Conceptual Design of a Variable Camber Wing by Spencer Troy P. Cortez, Seksan Winyangkul, Suwin Sleesongsom

“…Inspired by the high-lift capabilities of traditional aircraft devices but aiming for smoother airflow through continuous shape alteration, this research proposes a novel three-step design for a structurally integrated VCW. This approach begins with a critical aerodynamic analysis to determine wing shape adaptations across various flight conditions, followed by a mechanism synthesis phase to design a four-bar linkage that accurately approximates the desired trailing edge deflections by utilizing a variant of teaching–learning-based optimization. …”
Get full text

Competency-based education – the reform of postgraduate medical training in Switzerland by Schwitz, Fabienne, Brodmann Maeder, Monika, Hennel, Eva K.

“…Concrete details are given using examples from the cardiology curriculum.Conclusion: The conversion of medical training in Switzerland to competency-based teaching is an important step that is urgently needed but complex. The long-term plan of the Swiss Institute for Postgraduate and Continuing Medical Education (SIWF) consists not only of structural steps but also cultural change. …”
Get full text

Practice-Oriented Training of Power Engineers in the Conditions of Realization of the Concept of Continuous Education by Svetlana M. Kuldina, Alexey I. Nazarov, Nikolay A. Kuldin

“…The content and methods of step-by-step implementation of the practice-oriented educational program of training students of energy fields are demonstrated on specific examples.…”
Get full text

Stepwise Development of a Simulation-Based Musculoskeletal Ultrasound Curriculum for Physical Medicine and Rehabilitation Residents by Sarahrose Jonik, Terry Brosche, Michele Favreau, Paul Haidet, Neyha G. Cherin

“…Core components included simulation-based scanning, near-peer instruction, standardized patients (SPs), and structured assessments aligned with progressive learning milestones. The curriculum designed was informed by Kern's six-step model and guided by Miller's Pyramid to support skill development from knowledge acquisition to clinical application. …”
Get full text

Nursing students’ experiences and perceptions regarding in-class flipped classroom: a mixed-methods study by Dongmei Zhang, Anle Huang, Yunxiao Lei, Haiyang Liu, Liu Yang, Congzhi Wang, Ting Yuan, Xiaoping Li, Lin Zhang, Wenyuan Shang

“…The quantitative phase collected 107 nursing students’ learning satisfaction with the in-class flipped classroom via questionnaires. …”
Get full text

An effective feature selection approach based on hybrid Grey Wolf Optimizer and Genetic Algorithm for hyperspectral image by Yiqun Shang, Minrui Zheng, Jiayang Li, Xinqi Zheng

“…Abstract Feature selection (FS) is a critical step in hyperspectral image (HSI) classification, essential for reducing data dimensionality while preserving classification accuracy. …”
Get full text

Pembentukan Model Pohon Keputusan pada Database Car Evaluation Menggunakan Statistik Chi-Square by Retno Maharesi

“…This secondary data was obtained from the UCL machine learning website. The purpose of this research is to produce a prototype algorithm for obtaining an inductive decision tree based on Chi-square statistics. …”
Get full text

DETERMINATION OF THE BEST OPTIMIZER FOR A NEURONETWORK IN THE DEVELOPMENT OF AUTOMATIC IMAGE TAGGING SYSTEMS by Andrian Kozynets

“…Choosing the best optimizer is an important step in developing efficient automatic image classification systems. …”
Get full text