Quantifying 3D coral reef structural complexity from 2D drone imagery using artificial intelligence by Aviv Suan, Simone Franceschini, Joushua Madin, Elizabeth Madin

“…In this study, we present an approach that integrates drones, various color space information, and deep learning neural networks to predict three-dimensional complexity metrics—height range, rugosity and fractal dimension—across large (thousands of m2) spatial scales. …”
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Cross-Regional Capacity Mechanism for Emergency Power Support in Extreme Weather Events by WU Zifeng, YUAN Jiahai, ZHANG Jian, ZHANG Haonan

“…Subsequently，a novel cross-regional emergency power support capacity price model is developed，integrating the cost of the new entry （CONE） model，net income per unit of installed capacity，and the Value of Lost Load indicator. …”
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IL-6-Inducing Peptide Prediction Based on 3D Structure and Graph Neural Network by Ruifen Cao, Qiangsheng Li, Pijing Wei, Yun Ding, Yannan Bin, Chunhou Zheng

“…In this study, we propose a novel IL-6-inducing peptide prediction method called DGIL-6, which integrates 3D structural information with graph neural networks. …”
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Investigating Two-dimensional Horizontal Mesh Grid Effects on the Eulerian Atmospheric Transport Model Using Artificial Neural Network by Amine Ajdour, Brahim Ydir, Houria Bouzghiba, Ishaq Dimeji Sulaymon, Anas Adnane, Dris Ben Hmamou, Kenza Khomsi, Jamal Chaoufi, Gábor Géczi, Radouane Leghrib

“…The elevated expenses and intricate execution involved in measurements prompt the integration of modeling as a complementary approach alongside monitoring and surveillance efforts. …”
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Characterization of tumor prognosis and sensitive chemotherapy drugs based on cuproptosis-related gene signature in ovarian cancer by Wei Tan, Fangfang Dai, Qinyu Ci, Zhimin Deng, Hua Liu, Yanxiang Cheng

“…Results MTF1 and LIAS were identified as protective factors in ovarian cancer, with patients in the higher risk group being significantly associated with poorer survival. Furthermore, integrating the risk score with clinical characteristics in the nomogram demonstrated high specificity and sensitivity in predicting survival. …”
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Estimating and forecasting bitcoin daily prices using ARIMA-GARCH models by Quang Phung Duy, Oanh Nguyen Thi, Phuong Hao Le Thi, Hai Duong Pham Hoang, Khanh Linh Luong, Kim Ngan Nguyen Thi

“…Using quantitative analytic methods, the study makes use of a Generalized Autoregressive Conditional Heteroskedasticity (GARCH) model and an Autoregressive Integrated Moving Average (ARIMA). The study looks at how predictable Bitcoin price swings and market volatility will be between 2021 and 2023. …”
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Development and validation of the respite care model for adults with cancer in Iran: study protocol for a multimethod research project by Vahid Pakpour, Fatemeh Sadeghi-Ghyassi, Azad Rahmani, Nasrin Kheibar, Maryam Rassouli

“…Data from the scoping review and directed content analysis will be integrated to identify the crucial components of the model using the Delphi method in the second phase. …”
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Analysis of Health Impacts from Future Air Quality Changes Considering the Aging Population in Korea by Jinseok Kim, Youjung Jang, Hyejung Hu, Younha Kim, Bomi Kim, Seung Jick Yoo, Jae-Bum Lee, Seung-Hee Eun, Sung-Chul Hong, Hyungah Jin, Jung-Hun Woo

“…The GUIDE model, an Integrated Assessment Model (IAM), was used to estimate future emissions, while the CMAQ (Chemical Transport Model) and BenMAP (Health Impact Model) evaluated health impacts resulting from changes in air quality in Korea. …”
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Wireless sensor networks and structural health monitoring: Experiences with slab track infrastructures by Eduardo Cañete, Jaime Chen, Manuel Díaz, Luis Llopis, Bartolomé Rubio

“…Since the cost of these systems is steadily decreasing, it is now possible to use permanent wireless sensor networks as an integral part of the overall system to pave the way for smart infrastructures that can get real-time information about the structural health of the infrastructure at a relatively low cost. …”
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A self-activated and protective module enhances the preclinical performance of allogeneic anti-CD70 CAR-T cells by Zhao Zhang, Lianfeng Zhao, Tinghui Huang, Zhengliang Chen, Zhengliang Chen, Yaoyao Zhao, Yaoyao Zhao, Junqing Liang, Xudong Ao, Xiaoqiong Jia, Lei Kang, Linghui Kong, Qi Jing, Jianhua Hu, Lili Gu, Feiyan Pan, Zhigang Hu, Lingfeng He, Muya Zhou, Jiannan Chen, Zhigang Guo

“…To address the limitations of UCAR-T therapy, we developed an 'all-in-one' self-activated and protective (SAP) module, integrated into the CAR scaffold. The SAP module consists of the CD47 extracellular domain, a mutant interleukin 7 receptor alpha (IL7Rα) transmembrane domain, and the IL7Rα intracellular domain, designed to protect UCAR-T cells from host immune attacks and enhance their survival. …”
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Implementation of a Smart Home Intruder Detection System using a Vibrometer and ESP 32 CAM by Samuel Owoeye, Folasade Durodola, Adekunle Oyelami, Racheal Oladejo, Samuel Obasuyi, Ademola Qasim, Joshua Ogundairo

“…The precision performance of the components was carried out and the average precision for all the components was 95%.  The synergistic integration of the ESP32-CAM board and ATMega328P microcontroller results in a cohesive and intelligent smart home automation solution. …”
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Giant and flexible toroidal circular dichroism from planar chiral metasurface by Shijie Kang, Haitao Li, Jiayu Fan, Jiusi Yu, Boyang Qu, Peng Chen, Xiaoxiao Wu

“…Facing corresponding challenges in fabrication, integration, and application, it is generally difficult to employ toroidal circular dichroism in compact metasurfaces for flexible modulation of chiral interactions between electromagnetic waves and matter. …”
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Impact of the Relationship between Extensor Pollicis Brevis Entrapment Test and Ultrasound Wrist Findings and Functional Outcomes in De Quervain's Disease by Vijayaraja Elangovan, Lokesh K Sekaran, Harisudhan Raviraja, Dheepan Kumar, Ganesan G Ram

“…The extensor pollicis brevis (EPB) entrapment test has emerged as a valuable diagnostic tool. Integrating clinical assessment with ultrasound examination improves diagnostic efficacy, highlighting the importance of evaluating functional outcomes. …”
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Analysis of sensitive urban form indicators of flood susceptible prediction based on machine learning models by M. Srivanit, S. Pattanasri, N. Phichetkunbodee, S. Manokeaw, S. Sitthikankun, D. Rinchumphu

“…Furthermore, rainfall, building coverage ratio, and floor area ratio were the three most important variables determining flood risk.CONCLUSION: The Bagging Decision Tree Algorithm model effectively assesses flood risk, offering valuable insights for city administration and planning. Integrating key variables such as rainfall, building coverage ratio, and floor area ratio into flood risk management strategies is crucial for mitigating the impact of floods in economically significant urban areas.…”
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Tacrolimus- and Mycophenolate-Mediated Toxicity: Clinical Considerations and Options in Management of Post-Transplant Patients by Alan D. Kaye, Shivam S. Shah, Coplen D. Johnson, Adalyn S. De Witt, Austin S. Thomassen, Charles P. Daniel, Shahab Ahmadzadeh, Sridhar Tirumala, Kristin Nicole Bembenick, Adam M. Kaye, Sahar Shekoohi

“…Future directions in immunosuppressive therapy include integrating individual pharmacogenetic data to refine dosing, minimize side effects, and improve long-term graft outcomes. …”
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Analysis and Verification of a Slope Steering Model of TRVs in Hilly and Mountainous Environments by Luojia Duan, Kaibo Kang, Shiying Chen, Zixing Du, Longhai Zhang, Zhijie Liu, Fuzeng Yang, Zheng Wang

“…Turning tests on different slopes are conducted on a “soil–machine–crop” integrated experimental platform. The relative error between the numerical analysis results and the virtual simulation software’s results is less than 12%, and the relative error between the numerical analysis results and the experimental results is less than 10.3%; the good consistency between the theoretical results and the simulation’s results and the experimental results indicates that the model is, indeed, correct and effective. …”
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Impact of SARS-CoV-2 on Ambient Air Particulate Matter in Tehran by Sasan Faridi, Fatemeh Yousefian, Sadegh Niazi, Mohammad Rezvani Ghalhari, Mohammad Sadegh Hassanvand, Kazem Naddafi

“…Contrary to expectation, the average concentrations of both the PM2.5 and the PM10 were markedly higher during the former, increasing by 20.5% and 15.7%, respectively, for the first month of the outbreak (20 February–19 March 2020) and by 23.5% and 20.0% for the subsequent Nowruz New Year holidays (from late March till early April), which resulted in overall increases of 20.5% and 16.5% for the entire period. The non-integrated responses to the pandemic, including the failure to close administrative centers and, in particular, the recommendation to maintain social distancing by reducing public transportation use (prompting citizens to travel by private vehicle), have worsened the ambient air quality in Tehran, providing an exceptional opportunity to evaluate the direct/indirect influence of air quality policies and emission control measures on PM2.5 and PM10. …”
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Explainable AutoML models for predicting the strength of high-performance concrete using Optuna, SHAP and ensemble learning by Muhammad Salman Khan, Tianbo Peng, Tianbo Peng, Muhammad Adeel Khan, Asad Khan, Mahmood Ahmad, Mahmood Ahmad, Kamran Aziz, Mohanad Muayad Sabri Sabri, N. S. Abd EL-Gawaad

“…This study introduces four explainable Automated Machine Learning (AutoML) models that integrate Optuna for hyperparameter optimization, SHapley Additive exPlanations (SHAP) for interpretability, and ensemble learning algorithms such as Random Forest (RF), Extreme Gradient Boosting (XGB), Light Gradient Boosting Machine (LGB), and Categorical Gradient Boosting (CB). …”
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Diverse pathways to decarbonization: cluster-specific impacts of energy sources on CO2 emissions in the European Union by Jana Chovancová, Igor Petruška, Ugur Korkut Pata, Peter Adamišin

“…Wind shows mixed behaviour, with both positive and negative significance in certain clusters, highlighting the complexity of integrating wind energy into existing infrastructures. …”
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The engagement of healthcare providers in implementing the selfBACK randomised controlled trial – A mixed-methods process evaluation by Mette Jensen Stochkendahl, Barbara I Nicholl, Karen Wood, Frances S Mair, Paul Jarle Mork, Karen Søgaard, Charlotte DN Rasmussen

“…From 2019 to 2020, we recruited 57 HCPs from Norway and 39 health clinics in Denmark and collected quantitative and qualitative data in parallel. Results were integrated using displays. Results Overall, 825 patients were recruited by the HCPs. …”
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