Associative memory is more strongly predicted by age-related differences in the prefrontal cortex than medial temporal lobes by Tiago Guardia, Negar Mazloum-Farzaghi, Rosanna K. Olsen, Kamen A. Tsvetanov, Karen L. Campbell

“…To this end, we used data from over 300 healthy individuals uniformly spread across the adult lifespan from the Cambridge Centre for Ageing and Neuroscience (Cam-CAN) and tested the multivariate relationship between grey matter volumes and item/associative memory scores using canonical correlation analysis. …”
Get full text

A Reversible Compression Coding Method for 3D Property Volumes by Zhigang Zhao, Jiahao Qiu, Han Guo, Wei Zhu, Chengpeng Li

“…The compression capacity of our method in the test is between 23.66% and 38.42%, higher than the general data compression methods (ZIP/7Z/RAR: 8.37–10.32%). …”
Get full text

Bare surface soil moisture and surface roughness estimation using multi-band multi-polarization NISAR-like SAR data by Sami Najem, Nicolas Baghdadi, Henri Bazzi, Mehrez Zribi, Dharmendra Kumar Pandey, Muddu Sekhar

“…Out of the NISAR configurations tested, the QP configuration was shown to be the most performant, with RMSE on SSM estimation of 4.2 vol.%, for QP configuration compared to 5.1 and 8.2 vol.% for SP and DP configurations when not using a priori knowledge of soil moisture conditions. …”
Get full text

Uncovering Factors Related to Pancreatic Beta-Cell Function. by Aoife M Curran, Miriam F Ryan, Elaine Drummond, Eileen R Gibney, Michael J Gibney, Helen M Roche, Lorraine Brennan

“…<h4>Conclusions</h4>Waist-to-hip ratio and RA index were identified as significant modulators of beta-cell function. The ability of the RA index to modulate insulin secretion was confirmed in mechanistic studies. …”
Get full text

Exploring the Application of Large Language Models Based AI Agents in Leakage Detection of Natural Gas Valve Chambers by Qian Wei, Hongjun Sun, Yin Xu, Zisheng Pang, Feixiang Gao

“…Compared with the traditional SimBERT, the accuracy can be improved by about 15% in the Q&A search ability test. The correct rate is about 70% higher than the SimBERT in the Chinese complex reasoning quiz. …”
Get full text

A MaxEnt-TRIGRS hybrid model with dynamic safety factor mapping for enhanced debris flow susceptibility assessment in rainfall-triggered terrains by Xinlong Xu, Yue Qiang, Li Li, Siyu Liang, Tao Chen, Wenjun Yang, Xinyi Tan, Xi Wang, He Yang

“…Additionally, to determine the optimal weighting between machine learning and the physical model, we tested three weight combinations and found that a 0.55:0.45 ratio (MaxEnt: TRIGRS) yields the best performance. …”
Get full text

Plain Language Summary of Publication: The ProLOGUE study investigating brodalumab in people with plaque psoriasis by Shinichi Imafuku, Chika Ohata, Masaru Honma, Hidehisa Saeki, Yoko Mizutani, Takuya Miyagi, Kenta Murotani, Yasumasa Kanai

“…This summary describes the results of the ProLOGUE study, which tested the effects of brodalumab in Japanese people with plaque psoriasis using outcomes mostly reported by the study participants. …”
Get full text

Quality Analysis and Comprehensive Evaluation of 26 Varieties of Actinidia arguta Fruits by Yuning AN, Yuncai ZHAO, Junwei HUO, Dejiang LIU, Yihong BAO

“…Using principal component analysis to establish a comprehensive quality evaluation model for A. arguta, among the 26 samples tested, the five samples with the best comprehensive quality were 'A15', 'Huanyou No.1', 'JL01', 'J061403', and 'J141901', which had great value for targeted cultivation and development processing. …”
Get full text

Enhanced MRI brain tumor detection using deep learning in conjunction with explainable AI SHAP based diverse and multi feature analysis by Asif Rahman, Maqsood Hayat, Nadeem Iqbal, Fawaz Khaled Alarfaj, Salem Alkhalaf, Fahad Alturise

“…This achievement is ascribed with MRI–based feature extraction by combining high resolution, non-invasive imaging capabilities with the powerful analytical abilities of CNN. CNN demonstrates superiority in medical imaging owing to its ability to learn intricate spatial patterns and generalize effectively. …”
Get full text

Exploring the use of the South African nest record scheme to detect changes in phenology: a case study using four well represented species by Rebecca Muller, Chima Nwaogu, Barbara Helm, B. Irene Tieleman, Arjun Amar

“…Phenological changes are one of the most well recognised responses of organisms to climate change. The ability to detect phenological change often relies on long‐term datasets, which are scarce in the Southern Hemisphere. …”
Get full text

Effect and Mechanism of Yisui Fuyongtang (YSFYT) Decoction on Cognitive Function and Synaptic Plasticity in Rats with Vascular Cognitive Impairment by Tingliang Gong, Zhaoliang Luo, Li Huang, Caixian Xiao, Junlu Yi, Junfeng Yan, Qian Chen, Weihong Li, Wenqiang Tao

“…To clarify the effect and molecular regulation mechanism of YSFYT Decoction on model rats, this research analyzed the influence of YSFYT Decoction on the learning-memory ability and lipid metabolism of rats based on behavioral and biochemical analysis. …”
Get full text

Moving beyond post hoc explainable artificial intelligence: a perspective paper on lessons learned from dynamical climate modeling by R. J. O'Loughlin, D. Li, R. Neale, T. A. O'Brien, T. A. O'Brien

“…We propose three types of understanding as a basis to evaluate trust in dynamical and AI models alike: (1) instrumental understanding, which is obtained when a model has passed a functional test; (2) statistical understanding, obtained when researchers can make sense of the modeling results using statistical techniques to identify input–output relationships; and (3) component-level understanding, which refers to modelers' ability to point to specific model components or parts in the model architecture as the culprit for erratic model behaviors or as the crucial reason why the model functions well. …”
Get full text

Hydrogen-Rich Water Consumption for Acute and Residual Fatigue After Simulated Football Matches: Protocol for a Randomized, Double-Blinded, Placebo-Controlled, Parallel Trial by Michal Hruby, Karel Hulka, David Bernatik

“…MethodsUsing a randomized, double-blinded, placebo-controlled, parallel design, elite junior football players will undergo neuromuscular performance assessments (repeated sprint ability and countermovement jump test). Metabolic fatigue will be measured by creatine kinase level and muscle soreness, rated using a visual analog scale. …”
Get full text

Hybrid Convolutional Neural Network-Based Intrusion Detection System for Secure IoT Networks by Sami Qawasmeh, Ahmad Habboush, Bassam Elzaghmouri, Qasem Kharma, Da'ad Albalawneh

“…Using the UNSW NB15 dataset, the suggested IDS is tested against a recurrent neural network (RNN) system. …”
Get full text

A Mixed Methods Comparison of Oral Hygiene Behaviors by Gender Among Mexican-Origin Young Adults in California by Melissa Yu, Guadalupe X. Ayala, Melody K. Schiaffino, Kristin S. Hoeft, Vanessa Malcarne, Tracy L. Finlayson

“…Kruskal–Wallis and chi-square tests assessed differences in hygiene behavior frequency by gender. …”
Get full text

Using street view imagery and localized crowdsourcing survey to model perceived safety of the visual built environment by gender by Hanlin Zhou, Jue Wang, Kathi Wilson, Michael Widener, Devin Yongzhao Wu, Eric Xu

“…This study specifically focuses on their ability to represent onsite perceptions and examines gender differences as a test case in safety perception. …”
Get full text

Biodegradation of plastics and pesticides by soil bacteria in Bangladesh: Insights into antibiotic resistance and potential therapeutic targets by Azrin Ahmed, Shahin Mahmud, Mst. Tania Khatun, Md. Firoz Ali, Mst Rony Akter, A.K.M. Mohiuddin

“…Soil bacteria exhibit varying degrees of tolerance to different concentrations of pesticides and plastics, and some possess the ability to degrade them, which is crucial for bioremediation. …”
Get full text

Inhibition of esophageal squamous cell carcinoma progression by MIR210HG and activation of the P53 signaling pathway to promote apoptosis and autophagy by Jianyu Wang, Zhenhu Zhang, Liang Song, Xiangyan Liu, Xiaopeng He

“…The elevated expression of MIR210HG hindered the ESCC cell's ability to proliferate, invade, and migrate, both in vivo and in vitro settings. …”
Get full text

Influence of type traits on stayability in the Ital- ian Mediterranean buffalo by Damiano Altieri, Stefano Biffani, Mayra Gómez, Yuri Gombia, Dario Rossi, Luca Gubitosi, Nadia Piscopo, Francesca Carnovale, Rossella Di Palo

“…Data from 276.415 buffalo cows registered in the ANASB studbook starting from 1989 were extracted and merged with the official milk test-day recording datasets from the Italian Breeder’s Association (AIA). …”
Get full text

Effects of immersive leisure-based virtual reality cognitive training on cognitive and physical function in community-based older adults: A randomized controlled trial by I-Ching Chuang, Auwal Abdullahi, I-Chen Chen, Yih-Ru Wu, Ching-Yi Wu

“…Furthermore, while immersive VR cognitive training has demonstrated effectiveness in enhancing multiple cognitive domains, methodological limitations—such as the absence of control groups or the use of passive controls—hinder the ability to draw conclusive conclusions regarding its comparative effectiveness. …”
Get full text