Predicting cadmium enrichment in crops/vegetables and identifying the effects of soil factors based on transfer learning methods by Rui Chen, Zean Liu, Jingyan Yang, Tiantian Ma, Aihong Guo, Rongguang Shi

“…The best feature combination of prediction results was found by feature optimization. This feature combination has a very good effect on the prediction of cadmium in corn / vegetables by transfer learning. …”
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Improving predictability of IgE-high type 2 chronic sinusitis with nasal polyps in the biologic era by Austin Heffernan, Jobanjit Phulka, Andrew Thamboo

“…This could reduce unwarranted IgE serology in patients with CRSwNP but also target a patient population for further workup that will lead to optimization of resource allocation and improve healthcare equity in rural and remote areas within Canada.…”
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Heterologous Expression and Functional Analysis of <i>Exiguobacterium</i> Algin Lyase Gene by <i>Pichia pastoris</i> by Hanwen Wu, Kai Hou, Yutong Jiang, Mingjian Luan, Yuxia Sun, Xi He, Xiangzhong Zhao

“…The results of the enzymatic analysis revealed that the optimal temperature and the pH range of recombinant EbAlg664 were narrower compared to the original strain. …”
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Cytotoxicity and Exposure Assessment of PM2.5 in a Residential Home during COVID-19 Lockdown by Ummi Sabariah Mahamud, Armania Nurdin, Eliani Ezani

“…Due to the limited yield of indoor and outdoor PM2.5, further optimization on the extraction of PM2.5 should be carried out to evaluate further the mechanism of cytotoxicity of indoor PM2.5 on the lung cells.…”
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Naso-intestinal versus gastric tube for enteral nutrition in patients undergoing mechanical ventilation: a systematic review and meta-analysis by Chuanjin Liu, Junxun Jiang, Zunjia Wen, Tao You

“…These insights significantly augment the existing corpus of knowledge pertaining to the optimization of enteral nutrition strategies for patients on mechanical ventilation.…”
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Integration of Multi-Source Landslide Disaster Data Based on Flink Framework and APSO Load Balancing Task Scheduling by Zongmin Wang, Huangtaojun Liang, Haibo Yang, Mengyu Li, Yingchun Cai

“…The present study proposes an innovative approach to integrate multi-source landslide disaster data by combining the Flink-oriented framework with load balancing task scheduling based on an improved particle swarm optimization (APSO) algorithm. It utilizes Flink’s streaming processing capabilities to efficiently process and store multi-source landslide data. …”
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A Decision-Making Model for Autonomous Vehicles at Urban Intersections Based on Conflict Resolution by Zi-jia Wang, Xue-mei Chen, Pin Wang, Meng-xi Li, Yang-jia-xin Ou, Han Zhang

“…Then, we proposed a multiobjective optimization problem (MOP) decision-making model based on efficient conflict resolution theory at intersections. …”
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Occurrence of antibiotics and antibiotic resistance genes at various stages of different aquaculture modes surrounding Tai Lake, China by Congcong Wu, Congcong Wu, Haitao Ye, Mingzhu Xu, Xuan Zhao, Xuejie Zhao, Lina Li, Mingzhi Li, Yanfei Wei, Yuru Li, Baolan Hu, Baolan Hu

“…These findings will support the optimization of aquaculture mode and antibiotic usage to the green and sustainable development of aquaculture finally.…”
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Accuracy Assessment of Nonlinear Seismic Displacement Demand Predicted by Simplified Methods for the Plateau Range of Design Response Spectra by Pierino Lestuzzi, Lorenzo Diana

“…The N2 method, a recently proposed optimization of the N2 method, and the Lin and Miranda method are compared. …”
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Structural and Theoretical Studies of 2-amino-3-nitropyridine by N. S. Al-Hokbany, A. A. Dahya, I. Kh. Warad, N. M. Abd El-Salam, S. T. Akriche, M. Rzaiguib, U. Karamac, R. M. Mahfouzc

“…Geometrical optimization, spectroscopic analysis, electronic structure and nuclear magnetic resonance of 2-amino-3-nitropyridine (ANP) were investigated by utilizing ab-initio (MP2) and DFT(B3LYP) using 6-311++G(d,p) basis set. …”
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Damage Identification in Large-Scale Structures Using Time Series Analysis and Improved Sparse Regularization by Huihui Chen, Xiaojing Yuan

“…Compared to the moth-flame optimization (MFO) algorithm and traditional regularization methods, for both noise-free and noise polluted data, the iteration curves illustrate that the proposed method can achieve convergence within about 200 iterations, while the MFO algorithm is always trapped into local optima; meanwhile, the traditional regularization method needs more iterations or even cannot meet the preset tolerance. …”
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A hybrid stochastic-interval Mean–CVaR model for the wind-storage system offering strategy under uncertainties by Ziang Wang, Xiuli Wang, Zhicheng Wang, Jing Huang, Xiancheng Ren, Mengfu Tu

“…Firstly, a three-layer optimal model for scenario generation is proposed to tackle the internal uncertainty commonly associated with wind power. …”
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Personal Identification Using Embedded Raspberry Pi-Based Face Recognition Systems by Sebastian Pecolt, Andrzej Błażejewski, Tomasz Królikowski, Igor Maciejewski, Kacper Gierula, Sebastian Glowinski

“…It is shown that the system’s accuracy and scalability can be enhanced through testing with larger databases, hardware upgrades like higher-resolution cameras, and advanced deep learning algorithms to address challenges such as extreme facial angles. Threshold optimization tests with six male participants revealed a value that effectively balances accuracy and efficiency. …”
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Response in Ambient Low Temperature Plasma Ionization Compared to Electrospray and Atmospheric Pressure Chemical Ionization for Mass Spectrometry by Andreas Kiontke, Susan Billig, Claudia Birkemeyer

“…In conclusion, our report provides a very useful resource to the optimization of instrumental conditions with respect to most important requirements of the three ionization techniques and, at the same time, for future developments in the field of ambient ionization.…”
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Intelligent model for forecasting fluctuations in the gold price by Mahdieh Tavassoli, Mahnaz Rabeei, Kiamars Fathi Hafshejani

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Research on Operation Characteristics and Safety Risk Forecast of Bus Driven by Multisource Forewarning Data by Shejun Deng, Hongru Yu, Caoye Lu

“…To prevent and control public transport safety accidents in advance and guide the safety management and decision-making optimization of public transport vehicles, based on the forewarning and other multisource data of public transport vehicles in Zhenjiang, holographic portraits of public transport safety operation characteristics are constructed from the perspectives of time, space, and driver factors, and a prediction model of fatigue driving and driving risk of bus drivers based on BP neural network is constructed. …”
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An Adaptive Finite Resolution Selection Scheme for RIS Assisted NOMA Networks by Shady M. Ibraheem, Mona Shokair, Mohamed E. Nasr, Nancy Alshaer

“…Monte Carlo simulations emphasize the accuracy of the analytical work and investigate that: 1) The proposed GADPS scheme is more flexible than conventional RIS-NOMA scheme; 2) By joint optimization of RIS selection and phase shifting, the proposed GADPS scheme is capable of achieving superior performance over GARPS and conventional RIS-NOMA schemes with a superior diversity gain; 3) The throughput performance of the proposed GADPS scheme outperforms GARPS, conventional RIS-NOMA and other relay-assisted NOMA schemes, whereas full-duplex (FD) relay selection NOMA schemes suffer from throughput floor values; 4) By increasing the number of reflecting elements of RIS, the proposed GADPS scheme achieves the enhanced average sum rate performance over benchmark schemes in all scenarios of relative distance difference between users and the selected RIS.…”
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Exploration of Digital Twin Design Mechanism of the Deep in Situ Rock Insulation Coring Device by Bo Yu, Heping Xie, Ling Chen, Wu Zhao, Zhiqiang He

“…Digital twin technology, such as time data collection, accelerated iterative optimization, and high-fidelity rendering, provides users with an immersive experience and deepens their understanding of the product design intention. …”
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Development of Modified-Release Diclofenac Sodium Capsules Using Blends of Pectin-Clay Multiparticulate Hybrid Systems as Release Retardants by Ofosua Adi-Dako, Frederick William Akuffo Owusu, Isaac Yaw Attah, Doris Kumadoh, Prince George Acquah Jnr, Issaka Nelson, Nii Odartey Hutton-Mills, Karen Yaa Yeboaa Obese, Joseph Adusei Sarkodie, Benoit Banga N’guessan, Awo Afi Kwapong, Christina Osei-Asare, Emmanuel Adase, Mary-Ann Archer

“…A combination of inorganic and organic hybrid systems is of high research interest as they provide novel hybrid systems for the improvement of existing properties, overcoming limitations of the parent materials, and for the optimization of their controlled release potential. This study sorted to develop and pharmaceutically assess the release profile of diclofenac sodium using cocoa pod husk (CPH) blended with different proportions of either talc or bentonite as multiparticulate composite release modifiers. …”
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Numerical Simulation of Two-Phase System of “Combustible Liquid – Solid Fuel” Combustion in a Fixed Bed by K. V. Dobrego, I. A. Koznacheev

“…The results obtained by the authors can be utilized for optimization of multi-phase fuels combustion in compact layer, the regime parameters of in-situ combustion method of oil recovery increase as well as for improvement of some specific chemical processes.…”
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