A generative adversarial network with multiscale and attention mechanisms for underwater image enhancement by Liquan Zhao, Yuda Li, Tie Zhong

“…Next, we design a multi-scale dilated convolution module to capture underwater features at different scales. Then, we design a feature fusion adaptive attention module to reduce the interference of redundant features and enhance the local perception capabilities. …”
Get full text

Masticatory Ability for a Single Implant Mandibular Overdenture Retained by Two Different Attachments: A Randomized Controlled Trial by Marwa Abdel AaL, Amr Naguib, Ahmed Salah, Karim Foda, Nora Sheta, Nouran Abdel Nabi

“…All patients received new complete dentures, and masticatory ability was recorded using a questionnaire (baseline record). …”
Get full text

Can computer simulation support strategic service planning? Modelling a large integrated mental health system on recovery from COVID-19 by Livia Pierotti, Jennifer Cooper, Charlotte James, Kenah Cassels, Emma Gara, Rachel Denholm, Richard Wood

“…Simulating the impact of possible mitigation strategies, results show that increasing capacity in lower-acuity services, such as GP, causes a shift in demand to other parts of the mental health system while decreasing length of stay in higher acuity services is insufficient to mitigate the impact of increased demand. Conclusion In capturing the interrelation of patient flow related dynamics between various mental health care settings, we demonstrate the value of computer simulation for assessing the impact of interventions on system flow.…”
Get full text

Automated Cattle Monitoring System for Calving Time Prediction Using Trajectory Data Embedded Time Series Analysis by Wai Hnin Eaindrar Mg, Thi Thi Zin, Pyke Tin, Masaru Aikawa, Kazayuki Honkawa, Yoichiro Horii

“…Designed for large-scale farms, our system offers continuous 12-h monitoring, ensuring precise capture of cattle movements. By utilizing time series analysis on the trajectory data, our system predicts calving events in advance, effectively distinguishing between abnormal (requiring human assistance) and normal (not requiring assistance) for each cow. …”
Get full text

Classifying tumour infiltrating lymphocytes in oral squamous cell carcinoma histopathology using joint learning framework by Barun Barua, Genevieve Chyrmang, Kangkana Bora, Gazi N. Ahmed, Lopamudra Kakoti, Manob Jyoti Saikia

“…This dual-encoder approach enables OralTILs-ViT to capture complex tissue-cellular interactions, classifying TILs infiltration categories consistent with Broders’ grading system-“Moderate to Marked”, “Slight” and “None to Very Less.” …”
Get full text

Intelligent model for forecasting fluctuations in the gold price by Mahdieh Tavassoli, Mahnaz Rabeei, Kiamars Fathi Hafshejani

“…Furthermore, the deep learning approach is used to investigate how effective the selected variables are in gold price fluctuations.Findings: The results indicated that Support Vector (SV) models were more accurate than GARCH models in capturing fluctuations and that BMA outperformed TVPDMA and TVPDMS. …”
Get full text

Antimicrobial Activity of Thermocycled Polymethyl Methacrylate Resin Reinforced with Titanium Dioxide and Copper Oxide Nanoparticles by Rashin Giti, Kamiar Zomorodian, Maryam Firouzmandi, Zahra Zareshahrabadi, Sedigheh Rahmannasab

“…This study aimed to evaluate the effect of 2.5% and 7.5% copper oxide (CuO) and titanium dioxide (TiO2) nanoparticles on the antimicrobial activity of thermocycled polymethyl methacrylate (PMMA) denture base material against standard strains of yeast and bacteria species. …”
Get full text

Comparative analysis of sloshing effects on elevated water tanks’ dynamic response using ANN and MARS by Tahera, Neethu Urs, K. Shashi Raj, Rakesh Kumar, Harish Soundalgekar, T. Deepa, Mohd Asif Shah

“…In order to precisely capture the fluid–structure interaction, this work uses a 3D finite element model based on the Coupled Eulerian–Lagrangian (CEL) approach to investigate the dynamic response of raised water tanks under seismic excitation. …”
Get full text

TARREAN: A Novel Transformer with a Gate Recurrent Unit for Stylized Music Generation by Yumei Zhang, Yulin Zhou, Xiaojiao Lv, Jinshan Li, Heng Lu, Yuping Su, Honghong Yang

“…This model improves the temporal coherence of music by utilizing the gate recurrent unit (GRU), which enhances the model’s ability to capture the dependencies between sequential elements. …”
Get full text

Agent based modelling of blood borne viruses: a scoping review by Seun Ale, Elizabeth Hunter, John D. Kelleher

“…However, these models do not capture the impact of individual and social factors that affect the spread of common blood-borne viruses (BBVs) such as human immunodeficiency virus (HIV), hepatitis C virus (HCV), and hepatitis B virus (HBV). …”
Get full text

Living with bipolar disorder: A study of the lived experience of Saudi employees diagnosed with bipolar disorder in the workplace by Hessah Alzahrani

“…Despite the critical nature of understanding how BD affects workplace dynamics, there is a notable lack of research focusing on this area, especially within the context of Saudi Arabia. …”
Get full text

CARDIAC-STAR: prevalence of cardiovascular comorbidities in patients with HR + /HER2 − metastatic breast cancer by Susan Dent, Avirup Guha, Heather Moore, Doris Makari, Rachael McCaleb, Irene Arias, Stella Stergiopoulos, Benjamin Li, Michael Fradley

“…For each patient, data on pre-existing CV comorbidities and first-line treatments were captured for 12 months before and 6 months after the index date, respectively. …”
Get full text

Mechanisms and regulatory pathways of recessive land use transition by TAN Lin, CHEN Lan

“…[Conclusion] Taking into account of precisely capturing the characteristics of recessive land use form changes over various periods, timely measuring and diagnosing spatial conflict inflection points, identifing regulatory points, and coordinating the actual demands of power, functional, and efficiency forms, recessive land use regulatory schemes suitable for specific levels of economic and social development are developed.…”
Get full text

Multi-Temporal Image Fusion-Based Shallow-Water Bathymetry Inversion Method Using Active and Passive Satellite Remote Sensing Data by Jie Li, Zhipeng Dong, Lubin Chen, Qiuhua Tang, Jiaoyu Hao, Yujie Zhang

“…Next, multiple images captured at different times are fused to remove noise caused by water surface fluctuations and surface vessels. …”
Get full text

Six-year performance of risk-based selection for lung cancer screening in the Manchester Lung Health Check cohort by Matthew Sperrin, Haval Balata, Richard Booton, Hilary A Robbins, Philip A J Crosbie, Patrick Goodley

“…Lung cancers diagnosed by any route were captured within 6 years of risk assessment, for both screened and non-screened participants. …”
Get full text

PGTransNet: a physics-guided transformer network for 3D ocean temperature and salinity predicting in tropical Pacific by Song Wu, Senliang Bao, Wei Dong, Senzhang Wang, Xiaojiang Zhang, Chengcheng Shao, Junxing Zhu, Xiaoyong Li

“…However, most of them take no consideration of natural physical laws that may cause issues of physical inconsistency among different variables. …”
Get full text

A Line of Sight/Non Line of Sight Recognition Method Based on the Dynamic Multi-Level Optimization of Comprehensive Features by Ziyao Ma, Zhongliang Deng, Zidu Tian, Yingjian Zhang, Jizhou Wang, Jilong Guo

“…A mamba module with position coding is added to each layer to capture the local patterns of wireless signals under complex propagation phenomena by extracting local features, enabling the model to understand the evolution of signals over time in a deeper way. …”
Get full text

Patient-Centric Structural Determinants of Adherence Rates Among Asthma Populations: Exploring the Potential of Patient Activation and Encouragement Tool TRUSTR to Improve Adherenc... by Asim Zia, Arthur Brassart, Sheila Thomas, Fen Ye, Judith J. Stephenson, C. Daniel Mullins, Christopher A. Jones

“…Methodologically, lateralization approach demonstrates the potential to capture real-world evidence beyond clinical data and merge it with clinical data.…”
Get full text

Unveiling user identity across social media: a novel unsupervised gradient semantic model for accurate and efficient user alignment by Yongqiang Peng, Xiaoliang Chen, Duoqian Miao, Xiaolin Qin, Xu Gu, Peng Lu

“…Singular embedding techniques have been found to fall short in fully capturing the semantic essence of user profile attributes. …”
Get full text

Enhancing climate resilience: A data-driven north rift weather prediction system for real-time forecasting and agricultural decision support by John W. Makokha, Peter W. Barasa, Geoffrey W. Khamala

“…Trained on a comprehensive dataset spanning 1995 to 2020, which includes precipitation (from the Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS)), temperature (TerraClimate), historical NDVI (Landsat 4–5 Thematic Mapper (from 1995 to 2013) and Landsat 7 Enhanced Thematic Mapper plus (ETM+) (from 2014 to 2020)), and BSI (SoilGrids) data, the models effectively capture the complex relationships between environmental factors and vegetation health. …”
Get full text