Machine learning of clinical phenotypes facilitates autism screening and identifies novel subgroups with distinct transcriptomic profiles by Wasana Yuwattana, Thanit Saeliw, Marlieke Lisanne van Erp, Chayanit Poolcharoen, Songphon Kanlayaprasit, Pon Trairatvorakul, Weerasak Chonchaiya, Valerie W. Hu, Tewarit Sarachana

“…Clustering analyses revealed three distinct subgroups identifiable through both clinical symptoms and gene expression patterns. When ASD were grouped based on clinical features, stronger associations emerged between symptoms and underlying molecular profiles compared to grouping based on gene expression alone. …”
Get full text

Machine Learning Insights into the Last 400 Years of Etna Lateral Eruptions from Historical Volcanological Data by Arianna Beatrice Malaguti, Claudia Corradino, Alessandro La Spina, Stefano Branca, Ciro Del Negro

“…Hazard assessment can be supported by Artificial Intelligence (AI) techniques, such as machine learning, which are used for data exploration to identify features of interest in the data. Here, we applied a machine learning technique to automate the analysis of these datasets, handling intricate patterns that are not easily captured by explicit commands. …”
Get full text

Methylmap: visualization of modified nucleotides for large cohort sizes by Elise Coopman, Svenn D’Hert, Rosa Rademakers, Wouter De Coster

“…Understanding methylation patterns at the nucleotide level has become pivotal for advancing this field. …”
Get full text

Detection and location of EEG events using deep learning visual inspection. by Mohammad Amin Fraiwan

“…This signal contains a number of distinctive waveform patterns that reflect the subject's health state in relation to sleep, neurological disorders, memory functions, and more. …”
Get full text

Neuronal adaptation translates stimulus gaps into a population code. by Chun-Wei Yuan, Leila Khouri, Benedikt Grothe, Christian Leibold

“…Furthermore, our work suggests that network recurrence additionally enhances the network's ability to provide discriminable population patterns.…”
Get full text

Neurobiology-based cognitive biotypes using multi-scale intrinsic connectivity networks in psychotic disorders by Pablo Andrés-Camazón, Covadonga M. Diaz-Caneja, Ram Ballem, Jiayu Chen, Vince D. Calhoun, Armin Iraji

“…K-means clustering identified patient subgroups based on these features. Two biotypes with different functional brain alteration patterns were identified. …”
Get full text

Design and Analysis of Plasma-Based Reconfigurable Maxwell Fish-Eye-Lens Antennas by Jafar Bazrafshan, Fatemeh Sadeghikia, Mohamed Himdi, Ali Karami Horestani, Hajar Binti Ja'afar

“…The ability to dynamically adjust the radiation pattern and beam direction provides significant advantages in improving communication efficiency and reliability in challenging space environments.…”
Get full text

Exploring Applications of Convolutional Neural Networks in Analyzing Multispectral Satellite Imagery: A Systematic Review by Antonia Ivanda, Ljiljana Šerić, Maja Braović

“…Remote sensing is of great importance for analyzing and studying various phenomena occurrence and development on Earth. Today is possible to extract features specific to various fields of application with the application of modern machine learning techniques, such as Convolutional Neural Networks (CNN) on MultiSpectral Images (MSI). …”
Get full text

Ornamental Plant Growth in Different Culture Conditions and Fluoride and Chloride Removals with Constructed Wetlands by José Luis Marín-Muñiz, María E. Hernández, Sergio Zamora Castro

Get full text

Forecasting Delivery Time of Goods in Supply Chains Using Machine Learning Methods by V. K. Rezvanov, O. M. Romakina, E. V. Zaytseva

“…Introduction. Trade development requires the implementation of artificial intelligence and machine learning technologies to improve the accuracy of delivery forecasts. …”
Get full text

Advances in application of ultrasound in diagnosis of diabetic nephropathy by GUO Juan, YANG Zhifang, JI Ri

“…In DN patients, shear wave velocity (SWV) exhibits a characteristic pattern of "initial increase followed by decrease", which may correlate with histopathological staging. …”
Get full text

Fluid Dynamics Exploration in Molten Salt Reactors: A Comprehensive Study of Draining Tank Using the Moving Particle Semi-Implicit Method by Yacobus Yulianto, Asril Pramutadi Andi Mustari, Muhammad Rizqie Arbie

“…Results reveal a consistent discharge pattern across all fluids, characterized by an initial rapid flow phase followed by gradual stabilization. …”
Get full text

The role of VANGL2 in glioma oncogenesis and progression: insights into expression profiles and prognostic relevance by Mingyu Zhao, Mingyu Zhao, Mingyu Zhao, Mingyu Zhao, Shanshuang Chen, Shanshuang Chen, Shanshuang Chen, Shanshuang Chen

“…Our study focused on VANGL2, a core PCP gene, to elucidate its potential mechanistic involvement in cancer development.MethodsA systematic analysis was conducted to assess VANGL2 expression patterns at both transcriptional and proteomic levels. …”
Get full text

From light sensing to adaptive learning: hafnium diselenide reconfigurable memcapacitive devices in neuromorphic computing by Bashayr Alqahtani, Hanrui Li, Abdul Momin Syed, Nazek El-Atab

“…Abstract Advancements in neuromorphic computing have given an impetus to the development of systems with adaptive behavior, dynamic responses, and energy efficiency characteristics. …”
Get full text

Lactation in Primates: Understanding the Physiology of Lactation from an Evolutionary Perspective by Michelle Pascale Hassler, Alexandre Fabre, Valérie Moulin, Lucie Faccin, Julie Gullstrand, Alexia Cermolacce, Pierre Frémondière

“…Understanding the cultural and biological patterns of human breastfeeding requires a global evolutionary analysis that includes observations of other primates. …”
Get full text

Characteristics, Outcomes and Mortality Risk Factors of Pediatric In-Hospital Cardiac Arrest in Western China: A Retrospective Study Using Utstein Style by Jiaoyang Cao, Jing Song, Baoju Shan, Changxin Zhu, Liping Tan

Get full text

Vestibular Atelectasis: A Narrative Review and Our Experience by Andrea Tozzi, Andrea Castellucci, Salvatore Martellucci, Pasquale Malara, Michael Eliezer, Giuseppe Ferrulli, Rosanna Rita Ruberto, Pasquale Brizzi, Enrico Armato, Alessio Marchetti, Daniele Marchioni, Angelo Ghidini, Claudio Moratti

“…A collapse of the membranous labyrinth involving the semicircular canals (SCs) and the utricle represents its distinctive histopathological feature. While specific radiological patterns consistent with VA have been described on contrast-enhanced MRI with delayed acquisitions, an impairment of the blood–labyrinthine barrier (BLB) could be detected in several disorders leading to vestibular loss. …”
Get full text

Examining the Relationship Between Leadership and Teachers' Moral Competence: The Mediating Role of Spiritual Climate by Nouman Maqbool Rao, Chaudhary Abdul Rehman, Sami Ullah Bajwa, Nadia Nasir

“…It may ultimately contribute to the development of a positive education culture. Data was collected through a structured questionnaire completed by teachers. …”
Get full text

Exploring AI Ethics Syllabi Through NLP Cluster Analysis by Kerrie Hooper, Stephanie Lunn

“…Some of these include patterns from syllabi across various academic departments and the pre-post Chat-GPT era. …”
Get full text

A comprehensive analysis of transcription factors identified TCF3 as a prognostic target for glioma by Qiao Li, Peng Feng, Shangyu Liu, Goupeng Tian, Guoqiang Yuan, Yawen Pan

“…Among these genes, TCF3 has emerged as a potential key prognostic marker because of its distinct expression patterns and functional relevance. By performing multi-omics and multi-dataset analyses, we explored the aberrant expression of TCF3 across multiple cancers, with robust validation at both the cellular and tissue levels. …”
Get full text