An echo state network based on enhanced intersecting cortical model for discrete chaotic system prediction by Xubin Wang, Pei Ma, Jing Lian, Jizhao Liu, Yide Ma

“…Qualitative analyses, including trajectory plots and phase-space reconstructions, further support these quantitative findings, showing that the ESN-EICM's predictions closely tracked the true system dynamics. …”
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HypE-GA based study on optimal design of standard floor facade windowing of high-rise office buildings facing energy saving in heating, cooling and lighting. by Weixiang Zhang, Jieli Sui

“…The quantitative design on area and location of building façade's windows has a significant impact on interior light and heat environment, which is also very instructive for preliminary and remodeling design of buildings. …”
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Wettability of the Plant Growth Regulator 28-HB on Pepper Leaves at Different Developmental Stages by Xiaoya Dong, Kaiyuan Wang, Zhouming Gao, Cuicui Zhu, Xianping Guan, Baijing Qiu

“…The findings offer theoretical support for precise pesticide application strategies, enhancing pesticide adhesion and absorption on leaf surfaces, thereby improving pesticide utilization efficiency throughout the crop growth cycle.…”
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Regularized Kaczmarz Solvers for Robust Inverse Laplace Transforms by Marta González-Lázaro, Eduardo Viciana, Víctor Valdivieso, Ignacio Fernández, Francisco Manuel Arrabal-Campos

“…The primary objective of this study is to develop robust and efficient numerical methods that improve the stability and accuracy of ILT reconstructions under challenging conditions. …”
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Agro-physiological and transcriptome profiling reveal key genes associated with potato tuberization under different nitrogen regimes in aeroponics. by Rasna Zinta, Jagesh Kumar Tiwari, Tanuja Buckseth, Umesh Goutam, Rajesh Kumar Singh, Ajay Kumar Thakur, Vinod Kumar, Shwetank Singh, Manoj Kumar

“…Selected genes were validated through real-time quantitative polymerase chain reaction (RT-qPCR) analysis. …”
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CABAD: A video dataset for benchmarking child aggression recognition by Shehzad Ali, Md Tanvir Islam, Ik Hyun Lee, Mohammad Hijji, Khan Muhammad

“…Compared to the latest SOTA models like VideoMamba and the Taylor-transformed skeleton, CABA_Net improves accuracy by 8.4% and 9.0%, respectively, while maintaining a balanced model size of 282.37 MB, improved scalability (＋6.2%), and lower latency. These quantitative improvements reflect a strong balance between accuracy, stability, and computational efficiency, confirming CABA_Net’s effectiveness in recognizing child-aggressive activities.…”
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Hyperspectral imaging facilitating resect‐and‐discard strategy through artificial intelligence‐assisted diagnosis of colorectal polyps: A pilot study by Cheng Peng, Chong Xuan Tian, Yijun Mu, Mingjun Ma, Zhenlei Zhang, Meng Wan, Jing Liu, Zhen Li, Xiuli Zuo, Wei Li, Yanqing Li

“…Results Quantitative HSI revealed histological differences in colorectal polyps. …”
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Optimization of Flight Planning for Orthomosaic Generation Using Digital Twins and SITL Simulation by Alex Oña, Luis Ortega, Andrey Carrillo, Esteban Valencia

“…The results demonstrate that the proposed parameters optimize mission planning in terms of efficiency and quality. Through both quantitative and qualitative evaluations, it was evident that, for low-altitude flights, the configurations with the lowest overlap produce high-resolution orthomosaics while significantly reducing operational time.…”
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Application of a generative adversarial network algorithm to filling blank strips of fractures in formation microresistivity imaging images by Zhengming KANG, Chensheng WU, Guodong YANG, Disheng WU, Ruifei WANG, Xiangyu YANG, Wei GAN

“…Actual fractures were simplified using the transition boundary condition, improving the computational efficiency by avoiding multi-scale models and meeting the requirements of deep learning for substantial samples. …”
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Auxiliary identification of depression patients using interpretable machine learning models based on heart rate variability: a retrospective study by Min Yang, Huiqin Zhang, Minglan Yu, Yunxuan Xu, Bo Xiang, Xiaopeng Yao

“…The proposed model based on HRV provides clinicians with a quantitative auxiliary diagnostic tool, which is assist to improving the accuracy and efficiency of depression diagnosis, and can also be utilized for the monitoring and prevention of depression.…”
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Direct to psychology stepped care model implementation in the multidisciplinary sleep service: study protocol by Sara Winter, Sara Crocker, Tricia Rolls, Deanne Curtin, Jessica Haratsis, Tamlyn Rautenberg, Irene Szollosi

“…The RE-AIM framework and Standards for intervention Reporting Implementation Studies (StaRI) will be used to guide the development, implementation, evaluation and reporting of this service change. Quantitative data measuring outcomes of the new models of care on key indices of patient clinical outcomes, patient/clinician service satisfaction, and service efficiencies will be collected pre- and post-service change. …”
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Exploring heterogeneity of perimenopause with application of multivariable analysis approaches by Zhongyu Huang, Huazhi You, Lijuan Li, Shuang Wang, Zipan Lyu, Xiaoqin Zeng, Changyan Zhu, Minqing Li, Han Yan, Yaojuan He

“…Finally, interpretability and efficiency were analyzed via comparison between the two assessing strategies. …”
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Modelling the impact of agriculture expansion on water scarcity in Xinjiang, China by Ying Guo, Yanfang Wang, Chao Zhao, Min Liu, Xiaolong Zhang, Yanjun Shen

“…The improvement in water use efficiency helped to reduce socio-economic water demand. …”
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A Dual-Signal Electrochemiluminescence Sensor for Kanamycin Detection Based on a Self-Enhanced Zr MOF and Single Co-Reactant Competition Mechanism by Yawen Zhu, Xuemei Wang, Zhiyong Yan, Feifei Zhang, Jianfei Xia, Lili Lv, Zonghua Wang

“…To enhance the ECL efficiency, a co-reactant (polyethyleneimine, PEI) was covalently bound to the Zr MOF to achieve self-enhanced ECL. …”
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Quantifying and categorizing development paths of poverty-elimination counties in China: Based on the perspective of population-land-industry by Qianxi Zhang, Zhi Cao, Sixin Su, Xuanchang Zhang

“…Despite extended efforts in poverty elimination, there is a lack of quantitative studies categorizing and comparing poverty-elimination counties (PECs) based on their processes. …”
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AI‐Driven Applications in Clinical Pharmacology and Translational Science: Insights From the ASCPT 2024 AI Preconference by Mohamed H. Shahin, Prashant Desai, Nadia Terranova, Yuanfang Guan, Tomáš Helikar, Sebastian Lobentanzer, Qi Liu, James Lu, Subha Madhavan, Gary Mo, Flora T. Musuamba, Jagdeep T. Podichetty, Jie Shen, Lei Xie, Mathew Wiens, Cynthia J. Musante

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Study on influence of <i>Saccharina japonica</i> fermentation on chemical composition of mixed fodder for sea cucumber juveniles by Alexander M. Rogov

“…Under the processing, the main changes occur in quantitative composition of carbohydrates, namely the alginic acid content is reduced in 17.2-25.3 %, the fiber content is reduced in 38.5-74.0 % and the amount of easily hydrolyzable carbohydrates is increased in 2.7-3.7 times. …”
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Green extraction, chemical profile and biological activity of waste products from the olive oil industry: From waste to wealth by Miryam Perrucci, Marco Dezio, Hammad Saleem, Fabrizio Ruggieri, Marcello Locatelli

“…The optimized extraction methodology, starting from the 2.5-phase olive pomace, proved to be satisfactory in terms of efficiency by evaluating the effect of parameters such as extraction time and process temperature. …”
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The Relationship Between Biometric Features of Trees and the Intensity of Birch Sap Leakage in Various Forest Sites by Szczepan Kopeć, Paweł Staniszewski, Robert Tomusiak, Maciej Bilek, Dariusz Zastocki, Tadeusz Moskalik

“…The relationship between birch sap yield and select quantitative (tree height, absolute and relative crown length, and slenderness) and qualitative (forest site type, tree thickness class, and sap harvesting period) variables was examined. …”
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An approach to forecasting damage due to unfavorable circumstances associated with indistinguishability of source data by V. F. Zolotukhin, A. V. Matershev, L. A. Podkolzina

“…There is an acute problem of reduction of the likelihood of unwanted events and mitigation of possible damage. The efficiency of predicting damage to complex systems depends directly on the quality of processing methods, systematization, and the amount of input data. …”
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