Sensory Processing Measure and Sensory Integration Theory: A Scientometric and Narrative Synthesis by Hind M. Alotaibi, Ahmed Alduais, Fawaz Qasem, Muhammad Alasmari

“…Sensory integration theory (SIT), which posits that the neurological process of integrating sensory information from the environment and one’s body influences learning and behaviour, and the sensory processing measure (SPM), a psychometric tool with versions for individuals aged 4 months to 87 years, are fundamental to understanding and assessing sensory processing. …”
Get full text

Tracing Eponymous Word Combinations in Education and Pedagogy by Vera Budykina, Oksana Polyakova

“…Research on eponyms has revealed that they share similar grammatical and nominative structures as non-eponymic terms, functioning as individual words and word groups. Typically, eponyms consist of two elements: a noun and an adjective or a noun and another noun. …”
Get full text

GenePixKolor (GPK) Fusion: A Novel Evolutionary Algorithm-Based Optimized NFT Card Generation and Rarity Ranking Method for Gaming Tokenomics by J. Guruprakash, P. Pradeep, L. B. Krithika

“…GPK Fusion leverages genetic algorithms, image processing and machine learning to create a comprehensive, four-stage system that optimizes both the trait generation and visual appeal of NFTs, while providing an advanced rarity ranking mechanism. …”
Get full text

Measurement properties of the polish version of the nursing home survey on patient safety culture by Jakub Świtalski, Anna Augustynowicz

“…Abstract Background Measuring patient safety culture should be a fundamental component in the functioning of long-term care facilities. Several tools have been developed for this purpose, including the Nursing Home Survey on Patient Safety Culture (NHSOPSC), which was created and validated in the USA. …”
Get full text

Urinary continence outcomes during the transition from laparoscopic to robotic assisted radical prostatectomy: A single surgeon’s Australian regional centre experience by Basil Razi, Dane Cole-Clark, Duncan Self, Mark Louie-Johnsun

“…Postoperative continence significantly impacts patients’ quality of life, making functional outcomes a critical focus in the evolution of surgical techniques. …”
Get full text

The Effects of SARS CoV-2 nsp13 Mutations on the Structure and Stability of Helicase in Chinese Isolates by Ekrem Akbulut

“…The mutant model was built using deep learning algorithms. Model quality assessment was done with QMEAN. …”
Get full text

Translational approach for dementia subtype classification using convolutional neural network based on EEG connectome dynamics by Thawirasm Jungrungrueang, Sawrawit Chairat, Kasidach Rasitanon, Praopim Limsakul, Krit Charupanit

“…This study investigated dynamic features of resting-state electroencephalography (EEG) functional connectivity to identify characteristic patterns of dementia subtypes, such as Alzheimer’s disease (AD) and frontotemporal dementia (FD), and to evaluate their potential as biomarkers. …”
Get full text

QI initiative to reduce the number of inpatient falls in an acute hospital Trust by Jennifer Allison, Michelle Boot, Jack Maguire, Gemma O'Driscoll

“…It also does not take into the account loss of confidence and delays in functional recovery.This report shares the learning from a quality improvement (QI) initiative that took place in a District General Hospital (DGH) in the UK. …”
Get full text

Leveraging Multimodal Large Language Models (MLLMs) for Enhanced Object Detection and Scene Understanding in Thermal Images for Autonomous Driving Systems by Huthaifa I. Ashqar, Taqwa I. Alhadidi, Mohammed Elhenawy, Nour O. Khanfar

“…The integration of thermal imaging data with multimodal large language models (MLLMs) offers promising advancements for enhancing the safety and functionality of autonomous driving systems (ADS) and intelligent transportation systems (ITS). …”
Get full text

A High-resolution Soil Organic Carbon Map for Great Britain by Salar Mahmood, Beccy Wilebore, Rhosanna Jenkins, Katherine J. Willis, Marc Macias-Fauria, Shibu M. Ebrahim

“…Soil organic carbon (SOC) is used for soil health, indicating soils’ agricultural productivity potential, and correlating with other functions like water capacity and soil biodiversity. …”
Get full text

The Importance of Kant’s Philosophy of Mind for Contemporary Research in Artificial Intelligence by Anatoly G. Pushkarsky

“…Since the 2000s, we have seen impressive successes in the use of artificial neural networks with deep learning architecture in the field of modeling thinking and complex biological processes. …”
Get full text

Optimization of Reservoir Water Quality Parameters Retrieval and Treatment Using Remote Sensing and Artificial Neural Networks by Alice Nureen Adhiambo Omondi, Yashon Ouma, Simon Njoroge Mburu, Cleophas Mecha Achisa

“… Inland water bodies are critical ecosystems that serve several functions including the provision of freshwater, regulation of climate and hydrological flows, and pollution control. …”
Get full text

Acute Myeloid Leukemia Genome Characterization Study and Subtype Classification Employing Feature Selection and Bayesian Networks by Zhenzhen Li, Jingwen Li, Sifan Li, Yangyang Wang, Jihan Wang

“…<b>Conclusions:</b> This study demonstrated the application of machine learning in genomic data analysis for identifying gene subsets relevant to AML diagnosis and classification, which could aid in improving the understanding of the molecular landscape of AML. …”
Get full text

Heuristic Optimization-Assisted Dilated Convolution Neural Network With Gated Recurrent Unit for Channel Estimation in NOMA-OFDM System by Vijayakumar Kondepogu, Budhaditya Bhattacharyya

“…Here the input signals are extracted and infer the signal at the receiver terminal. The loss functions in the model are optimized by using the Improved Pelican Optimization Algorithm (IPOA). …”
Get full text

Interpretability-guided RNA N6-methyladenosine modification site prediction with invertible neural networks by Guodong Li, Xiaorui Su, Yue Yang, Dongxu Li, Ziwen Cui, Xun Deng, Pengwei Hu, Lun Hu

“…Abstract As one of the most common and abundant post-transcriptional modifications, N6-methyladenosine (m6A) has been extensively studied for its essential regulatory role in gene expression and cell functions. The location of m6A RNA modification sites, however, remains a challenging problem, because of the inability to characterize m6A modified sites at a multi-scale level in their native RNA context. …”
Get full text

Mental well-being in Swedish adolescents 2014-2023: A repeated population-based cross-sectional study focusing on temporal variations and differences between groups. by Lena Uvhagen, Johanna Gustafsson, Fredrik Söderqvist

“…Mental well-being is more than merely the absence of mental illness; it is a multidimensional concept that includes both emotional and functional well-being, which are valuable resources during adolescence. …”
Get full text

Optimization of Fused Deposition Modeling Parameters for Mechanical Properties of Polylactic Acid Parts Based on Kriging and Cuckoo Search by Yuan Yang, Yiyang Wang, Bowen Xue, Changxu Wang, Bo Yang

“…Secondly, a Kriging-based prediction model for mechanical properties was constructed by learning sample data, and the nonlinear mapping relationship between process parameters and tensile strength was obtained. …”
Get full text

Cardio-rheumatology: integrated care and the opportunities for personalized medicine by Tania Ruiz Maya, Ashley Ciosek, Tracy Frech, Genessis Maldonado, Kevin Myers, Erin Chew, Justin Baba, Anthony Donato, Deepak Gupta, Laura Ross

“…This interdisciplinary collaboration may allow earlier detection of primary SHI, which is a common cause of death in SSc patients, resulting from both morpho-functional and electrical cardiac abnormalities. Our shared model of care and robust data acquisition facilitate clinical investigation by utilizing technological advances in data management. …”
Get full text

Developing a Critical Imagination for How Researchers can use Artificially Intelligent Tools Reflexively and Responsibly During Qualitative Literature Reviews by Kristen Foley, Caitlan McLean, Reece De Zylva, Gregorius Asa, Jordana Maio, Samantha Batchelor, Gideon Dzando, Ahmad Dimassi

“…Beyond only literature retrieval, some AI tools describe their use-value as being able to appraise and synthesise contrasting evidence within and across papers; work like ‘Spotify’ to cultivate a personalised ecosystem of research articles that evolves via algorithmic learning; and suggest new directions for research based on existing evidence about a topic and an assessment of knowledge gaps. …”
Get full text

Predicting depression risk in middle-aged and elderly adults in China using CNN-BiLSTM-Attention mechanism and LSTM+SHAP framework by Shengxian Bi, Gang Li, Huawei Tan, Yingchun Chen, Dandan Guo

“…However, current research predominantly employs machine learning (ML) methods to predict depression risk, often overlooking the spatiotemporal heterogeneity of this risk. …”
Get full text