Basic medical sciences should be mainly taught by clinicians for a tight integration of basic and clinical sciences in medical education. by Süleyman Oktar

“…Now is the time to take bold steps. The first step should be to remove the preclinical term from medical education. …”
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GENOME POLITICS: STRATEGY AND TACTICS by Jonas Rubikas

“…The accuracy of these three-step processes is under the end-product selection control. …”
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Impact of a blended curriculum on nursing handover quality: a quality improvement project by Xavier Losfeld, Laure Istas, Quentin Schoonvaere, Michel Vergnion, Jochen Bergs

“…We are aware that the educational intervention is only the first step to achieve the long-term implementation of a culture of professional communication based on mutual support.…”
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Cementless Tibial Fixation Results in Slower Recovery but Equivalent Outcome at 12 months in Primary Total Knee Arthroplasty by Khairul Anwar Ayob, MSOrth, Ishaan Jagota, BEng, Joshua Twiggs, PhD, David W. Liu, FRACS

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Optimization of LED Lighting Strategies using Multi-Spectral Imaging for Enhanced Crop Growth in Vertical Farming Systems by Al-Farouni Mohammed, Ramadan Ghazi Mohamad, Rao G. Mallikarjuna

“…These integrated technologies are implemented and are forming a major step forward resulting in an estimated 15 percent improvement in crop yield and 20 percent reduction in energy consumed in lighting. …”
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Image Visual Quality: Sharpness Evaluation in the Logarithmic Image Processing Framework by Arnaud Pauwelyn, Maxime Carré, Michel Jourlin, Dominique Ginhac, Fabrice Meriaudeau

“…In image processing, the acquisition step plays a fundamental role because it determines image quality. …”
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Attitude toward Spirituality and Spiritual Care among Nurses, Nursing Faculty Members and Nursing Students at Jahrom University of Medical Sciences by Mahboobeh Taghizadeganzadeh, zahra Shadfard, Tahereh Abdian, Fajrieh Zahediniya, Zahra Karami

“…Although a desirable attitude towards spirituality and spiritual care is the first step in paying attention to the spiritual needs of patients and providing spiritual care, it alone is not sufficient. …”
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Noise-Robust Local Ternary Pattern Center for Noisy Texture Classification by Farhan A. Alenizi, Mokhtar Mohammadi, Mohammad Hossein Shakoor

“…The proposed method has three steps. First a criterion is proposed that estimates the quality of the texture. …”
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Automatic Comparative Chest Radiography Using Deep Neural Networks by Redwan Sony, Carolyn V. Isaac, Alexis Vanbaarle, Clara J. Devota, Todd Fenton, Joseph T. Hefner, Arun Ross

“…This research marks a significant step forward in forensic radiography, being the first to systematically assess the impact of ROIs for robust human identification.…”
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A Multi-Level Speed Guidance Cooperative Approach Based on Bidirectional Periodic Green Wave Coordination Under Intelligent and Connected Environment by Luxi Dong, Xiaolan Xie, Lieping Zhang, Shuiwang Li, Zhiqian Yang

“…A bi-level combinatorial optimization method is constructed through a combinatorial deep Q learning method, named Deep Q Network-Genetic Algorithm (DQNGA), with the objective of obtaining the global optimal solution. …”
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Quasi-Analytical Least-Squares Generative Adversarial Networks: Further 1-D Results and Extension to Two Data Dimensions by Graham W. Pulford

“…Empirical evidence is provided of long-term oscillatory behaviour in the parameters and cost function when both the step size (learning rate) and the support of the data distribution are large. …”
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Neuron Network Modeling of Intensification of Isogumulone Extraction in a Rotary Pulse Generator by Anton V. Shafrai, Elena A. Safonova, Dmitry M. Borodulin, Yana S. Golovacheva, Sergey A. Ratnikov, Wasfie Barsoom Wasef Kerlos

“…The resulting model had the following parameters: two hidden layers, 30 neurons each; neuron activation function – GELU; loss function – MSELoss; learning step – 0.001; optimizer – Adam; L2 regularization at 0.00001; training set of four batches, 16 records each; 9,801 epochs. …”
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Artificial intelligence-based Raynaud’s quantification index (ARTIX): an objective mobile-based tool for patient-centered assessment of Raynaud’s phenomenon by Marco Di Battista, Seda Colak, Anna Howard, Francesca Donadoni, Chris Owen-Smith, Andrea Rindone, Stefano Di Donato, Collette Hartley, Lesley-Anne Bissell, Francesco Del Galdo

“…Methods ARTIX (artificial intelligence-based Raynaud’s quantification index) score was developed as a multi-step process of segmentation, decomposition and filters application to mobile phone pictures of the hand. …”
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Experiment with ChatGPT: methodology of first simulation by Oleg Shvets, Kristina Murtazin, Gunnar Piho, Martijn Meeter, Martijn Meeter

“…The experiment presented in this study serves as a preparatory step toward the implementation and integration of the model into the educational process, highlighting its function as a conceptual framework for feedback design. …”
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ReAcc_MF: Multimodal Fusion Model with Resource-Accuracy Co-Optimization for Screening Blasting-Induced Pulmonary Nodules in Occupational Health by Junhao Jia, Qian Jia, Jianmin Zhang, Meilin Zheng, Junze Fu, Jinshan Sun, Zhongyuan Lai, Dan Gui

“…We propose a hybrid framework that integrates morphological purification techniques (multi-step filling and convex hull operations) with multi-dimensional features fusion (radiomics + lightweight deep features). …”
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hERGAT: predicting hERG blockers using graph attention mechanism through atom- and molecule-level interaction analyses by Dohyeon Lee, Sunyong Yoo

“…Thus, screening for hERG channel blockers is a crucial step in the drug development process. Many in silico models have been developed to predict hERG blockers, which can efficiently save time and resources. …”
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MCT-CNN-LSTM: A Driver Behavior Wireless Perception Method Based on an Improved Multi-Scale Domain-Adversarial Neural Network by Kaiyu Chen, Yue Diao, Yucheng Wang, Xiafeng Zhang, Yannian Zhou, Minming Gu, Bo Zhang, Bin Hu, Meng Li, Wei Li, Shaoxi Wang

“…Numerous methods have been developed to accurately identify driving behaviors. Recently, deep learning has gained significant attention in radar signal processing due to its ability to eliminate the need for intricate signal preprocessing and its automatic feature extraction capabilities. …”
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Ontology-conformal recognition of materials entities using language models by Sai Teja Potu, Rachana Niranjan Murthy, Akhil Thomas, Lokesh Mishra, Natalie Prange, Ali Riza Durmaz

“…Abstract Extracting structured and semantically annotated materials information from unstructured scientific literature is a crucial step toward constructing machine-interpretable knowledge graphs and accelerating data-driven materials research. …”
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GENOME POLITICS: STRATEGY AND TACTICS by Jonas Rubikas

“…The accuracy of these three-step processes is under the end-product selection control. …”
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3D anatomical digital twins: New generation virtual models to navigate robotic partial nephrectomy by Daniele Amparore, Alberto Piana, Federico Piramide, Sabrina De Cillis, Enrico Checcucci, Cristian Fiori, Francesco Porpiglia

“…Conclusions The new 3D digital twin models represent a step forward towards the personalization of virtual reconstructions. …”
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