Multi-objective optimization of sustainable cement-zeolite improved sand based on life cycle assessment and artificial intelligence [version 1; peer review: 1 approved, 2 approved... by Hossein MolaAbasi, Satinder Kaur Brar, Amin Tanhadoust, Sepideh Nasrollahpour, Omolbanin Ataee, Moncef L. Nehdi

“…This study proposes a multi-objective optimization approach using back-propagation neural network (BPNN) to predict the mechanical strength, along with an adaptive geometry estimation-based multi-objective evolutionary algorithm (AGE-MOEA) to identify the best parameters for cement-zeolite-improved sand, filling a long-lasting research gap. …”
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Identification and Validation of Feature Genes Related to Mitochondrial Dysfunction and Oxidative Stress in Ulcerative Colitis by Wu Y, Tan Z, Lan Q, Liu Y, Liu C, He H, Zhang J, Dong W

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Multi-task aquatic toxicity prediction model based on multi-level features fusion by Xin Yang, Jianqiang Sun, Bingyu Jin, Yuer Lu, Jinyan Cheng, Jiaju Jiang, Qi Zhao, Jianwei Shuai

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The Measurement of Vital Signs in Pediatric Patients by Lifelight Software in Comparison to the Standard of Care: Protocol for the VISION-Junior Observational Study by Gauri Misra, Simon Wegerif, Louise Fairlie, Melissa Kapoor, James Fok, Gemma Salt, Jay Halbert, Ian Maconochie, Niall Mullen

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Optimization study of dynamic emergency feeder bus paths with the sudden interruption of urban railway traffic by Dejie Xu, Huilin Geng, Changwu Hui, Liang Gong, Hang Yuan, Qian Liu

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Advancing Evapotranspiration Modeling With Optimized Soil and Canopy Resistance Combinations by Jinfeng Zhao, Shikun Sun, Yali Yin, Yihe Tang, Chong Li, Yongshan Liang, Yubao Wang, Alexander Winkler, Shijie Jiang

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Exploring transcriptomic databases to identify and experimentally validate tissue-specific consensus reference gene for gene expression normalization in BALB/c mice acutely exposed... by Nour Hammoudeh, Reem Hasan, Mohammad Deeb, Zuher Radwan, Omar Ayoubi, Roaa Alendary, Mouayad Youssef, Abdulfattah Kazan, Rasil Alsahli, Walaa Faiad, Nour Aldeli, Abdulsamie Hanano

“…Then, the stability of the selected HKGs was determined in the liver, kidney, lung, ovary and testis of TCDD-exposed mouse compared to the control group using the [log (2ΔCt)] and statistically analyzed using Pearson correlation coefficient (r) by BestKeeper algorithm. …”
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Molecular alteration patterns predict tumor behavior in papillary thyroid carcinoma independent of tumor size: insights from an international multicenter retrospective study by Grégoire B. Morand, Idit Tessler, Simon E. Thurnheer, Kayla E. Payne, Maxine Noik, Josh Krasner, Tzahi Yamin, Marc P. Pusztaszeri, Richard J. Payne, Galit Avior

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Association and Predictive Ability between Inflammatory Burden Index and Fever Following Endobronchial Forceps Biopsy in Lung Cancer Patients by Zhang M, Yang C, Guo Y

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Development and validation of a novel predictive model for dementia risk in middle-aged and elderly depression individuals: a large and longitudinal machine learning cohort study by Xuan Xiao, Yihui Li, Qiaoboyang Wu, Xinting Liu, Xu Cao, Maiping Li, Jianjing Liu, Lianggeng Gong, Xi-jian Dai

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A Hybrid Approach to Cloud Data Security Using ChaCha20 and ECDH for Secure Encryption and Key Exchange by Rebwar Khalid Muhammed, Zryan Najat Rashid, Shaida Jumaah Saydah

“…However, this convenience introduces significant security risks due to the reliance on third-party services, raising concerns about data confidentiality and integrity. This research proposes a hybrid encryption model that combines the high-speed ChaCha20 algorithm for data encryption with the Elliptic Curve Diffie-Hellman (ECDH) protocol for secure key exchange. …”
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Addressing Spatial Variability in Estimating Cover Management Factor of Soil Erosion Models using Geoinformatics: A Case Study of Netravati Catchment, Karnataka, India by Waleed Makhdumi, Shwetha H. R., G. S. Dwarakish, Jagadeesha B. Pai

“…This study aims to improve the accuracy of C factor estimates for the Netravati catchment present in the Western Ghats and Coastal Plains of India by using the Random Forest Algorithm and Sentinel 2 satellite data. The research examined five commonly used Normalized Difference Vegetation Index (NDVI) based C factor estimating equations and found that they inadequately represented local vegetation dynamics in the study area. …”
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Comparison of machine learning models for coronavirus prediction by B. K. Amos, I. V. Smirnov, M. M. Hermann

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Vital Sign and Biochemical Data Collection Using Non-contact Photoplethysmography and the Comestai Mobile Health App: Protocol for an Observational Study by Gianvincenzo Zuccotti, Paolo Osvaldo Agnelli, Lucia Labati, Erika Cordaro, Davide Braghieri, Simone Balconi, Marco Xodo, Fabrizio Losurdo, Cesare Celeste Federico Berra, Roberto Franco Enrico Pedretti, Paolo Fiorina, Sergio Maria De Pasquale, Valeria Calcaterra

“…The evaluation of a large population will allow for continuous improvement in the performance and accuracy of artificial intelligence algorithms, reducing errors. Expanding research on mobile health solutions like Comestai can support preventive care by validating their effectiveness as screening tools and guiding future health care technology developments. …”
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The applicability and challenges of black carbon sensors in monitoring networks by J. T. Elomaa, K. Luoma, K. Luoma, S. D. Harni, A. Virkkula, H. Timonen, T. Petäjä

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Simulation of Drying‐Rewetting Processes in Numerical Groundwater Models Using a New Picard Iteration‐Based Method by Chuiyu Lu, Wen Lu, Qingyan Sun, Xin He, Lingjia Yan, Tao Qin, Chu Wu, Shangqi Han, Zhenjiang Wu, Weichen Wu

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The Effect of Hearing Aid Amplification on Gait Parameters: A Pilot Study Using Ear-Worn Motion Sensors by Ann-Kristin Seifer, Arne Küderle, Kaja Strobel, Ronny Hannemann, Björn M. Eskofier

“…To achieve this, we used a hearing-aid-integrated accelerometer and our open-source EarGait framework comprising gait-related algorithms specifically developed for ear-worn sensors. …”
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GATCGGenerator: New Software for Generation of Quasirandom Nucleotide Sequences by O. Yu. Kiryanova, R. R. Garafutdinov, I. M. Gubaydullin, A. V. Chemeris

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Associations between age, red cell distribution width and 180-day and 1-year mortality in giant cell arteritis patients: mediation analyses and machine learning in a cohort study by Si Chen, Rui Nie, Xiaoran Shen, Yan Wang, Haixia Luan, Xiaoli Zeng, Yanhua Chen, Hui Yuan

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Implementing Remote Radiotherapy Planning to Increase Patient Flow at a Johannesburg Academic Hospital, South Africa: Protocol for a Prospective Feasibility Study by Duvern Ramiah, Sonwabile Ngcezu, Oluwatosin Ayeni, Okechinyere Achilonu, Mariam Adeleke, Theo Nair, Joseph Otten, Daniel Mmereki

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