Total Phenolic Content and Antioxidant Activity of Different Extracts of Aronia melanocarpa L. Fruit by Nurcan Kılıç Baygutalp, Mehmet Şekeroğulları, Lale Duysak

“…More research is needed to elucidate the exact mechanisms of action, optimum extraction method, optimal dosage, and potential side effects of the extracts.…”
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Evaluation of Seismic Performance of Reinforced Concrete Frame Structures in the Context of Big Data by Du Guangqian, Zheng Meng, Wang Shijie

“…In the era of big data, the efficient use of idle data in reinforced concrete structures has become a key issue in optimizing seismic performance evaluation methods for building structures. …”
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Reliable and efficient magnetic data inversion for resource detection using a hybrid bat algorithm by Khalid S. Essa, Mahmoud Elhussein, Omar A. Gomaa, Zein E. Diab

“…This study introduces an innovative hybrid algorithm integrating the Bat Algorithm (BA) with the Fourth Horizontal Gradient (FHG) to optimize the estimation of geometric parameters (depth, amplitude coefficient, shape factor, source origin, and magnetization angle) from magnetic field data. …”
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Phytochemical composition and antioxidant properties of unripe apples by Crucirescu Diana

“…The quantitative and qualitative determination of organic acids was carried out by the HPLC method, and of carbohydrates by capillary electrophoresis. …”
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Experimental research on the performances of water jet devices and proposing the parameters of borehole hydraulic mining for oil shale. by Jiwei Wen, Chen Chen, Urso Campos

“…Oil shale is an unconventional energy source, and it is also a potential petroleum substitute. …”
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A dynamic early warning model based on LSTM-AM for property-based elderly care resource shortages in urban-rural integrated counties in China by Qingheng Sun

“…Results show that, taking Xuchang City, Henan Province as an example, by integrating multi-source time-series data such as county-level population aging rates, property-based elderly care service coverage rates, community facility maintenance data, and resident demand feedback, the model’s prediction error (MAE ≤ 0. 12, RMSE ≤ 0. 18) was reduced by 35% compared to traditional methods, and the warning accuracy (F1-score = 0. 89) was significantly superior to traditional models. …”
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SolarGAN for Meso-Level Solar Radiation Prediction at the Urban Scale: A Case Study in Boston by Yijun Lu, Xinru Li, Siyuan Wu, Yuankai Wang, Waishan Qiu, Da Chen, Yifan Li

“…The model’s capability to generate high-resolution (2 m) solar radiation maps from simplified inputs demonstrates the potential of GANs for urban climate data prediction, offering a rapid and efficient alternative to traditional methods. This approach holds significant potential for urban planning, particularly in optimizing photovoltaic (PV) system layouts and managing the UHI effect.…”
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Effect of Acetic Acid Pretreatment on Hydro-extraction of Water-Soluble Collagen from Skin of Alaska Pollock (<I>Theragra chalcogramma</I>) by Patmawati, Aliffiansyah Rizky Ergion, Laksmi Sulmartiwi, Raseetha Vani Siva Manikam, Dwitha Nirmala, Yaowapha Waiprib, Sapta Wijayanti

“…Highlight Research • The optimal condition for production of water-soluble collagen from Alaska pollock fish skin was the pretreatment with 0.15 M acetic acid followed by hydro-extraction at 40oC with 150 rpm for two hours…”
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Image Processing Technique for Enhanced Combustion Efficiency of Wood Pellets by Thomas Gasperini, Andrea Pizzi, Lucia Olivi, Giuseppe Toscano, Alessio Ilari, Daniele Duca

“…This paper, whilst evaluating the effect of pellet length on combustion efficiency, proposes a pending-patented dimensional image processing method (DIP) for assessing pellet length. DIP allows the dimensional data of grouped and stacked pellets to be obtained by exploiting the shadows produced by pellets when exposed to a light source, assuming that different-sized pellets produce different shadows. …”
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Nutritional Evaluation of Quail-Based Complementary Food to Prevent Stunting in Early Childhood by Mutya Rosa, Erliza Hambali, Mulyorini Rahayuningsih

“…The first 1,000 days of a child's life are crucial for optimal growth and development, with complementary foods as a key nutritional source. …”
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Collaborative Scheduling Framework for Post-Disaster Restoration: Integrating Electric Vehicles and Traffic Dynamics in Waterlogging Scenarios by Hao Dai, Ziyu Liu, Guowei Liu, Hao Deng, Lisheng Xin, Liang He, Longlong Shang, Dafu Liu, Jiaju Shi, Ziwen Xu, Chen Chen

“…This study proposes a collaborative scheduling framework for post-disaster restoration in waterlogging scenarios, addressing the impact of waterlogging on both transportation and distribution systems. The method integrates electric vehicles (EVs), mobile power sources (MPSs), and repair crews (RCs) into a unified optimization model, leveraging an improved semi-dynamic traffic assignment (SDTA) model that accounts for temporal variations in road accessibility due to water depth. …”
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Firm Value in Profitability, Leverage, Capital Structure, and Firm Growth by Sonnia Dea Larasati, Chintia Betharia

“…Design/methodology/approach - This research used quantitative data with sampling method and the data source was obtained from the annual report of the Automotive and Component Sub Sector companies that have been registered on Indonesian Stock Exchange in 2016-2022. …”
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Sentiment-Driven Bitcoin Price Range Forecasting: Enhancing CART Decision Trees With High-Dimensional Indicators and Twitter Dynamics by Lei Shang

“…Sensitivity analysis further optimizes the sentiment feature weight, confirming the model&#x2019;s robustness, and provides an innovative perspective for cryptocurrency market prediction, with future applications extensible through multi-source data fusion.…”
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Virtual-Z Gates and Symmetric Gate Compilation by Arian Vezvaee, Vinay Tripathi, Daria Kowsari, Eli Levenson-Falk, Daniel A. Lidar

“…Here, we show that the method of compilation has important consequences in an open quantum system setting. …”
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FedITD: A Federated Parameter-Efficient Tuning With Pre-Trained Large Language Models and Transfer Learning Framework for Insider Threat Detection by Zhi Qiang Wang, Haopeng Wang, Abdulmotaleb El Saddik

“…Extensive experiment results show FedITD&#x2019;s superior performance, adaptability to varied data, and reduction of resource costs, achieving an optimal balance in detection capabilities across source data, unlabeled local data, and global data. …”
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Distributed Collaborative Data Processing Framework for Unmanned Platforms Based on Federated Edge Intelligence by Siyang Liu, Nanliang Shan, Xianqiang Bao, Xinghua Xu

“…This architecture integrates federated learning for privacy protection, leverages the advantages of distributed model training, and utilizes edge computing’s near-source data processing capabilities. Additionally, this paper proposes a federated edge intelligence method (DSIA-FEI), which comprises two key components. …”
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Mobile Mapping System for Urban Infrastructure Monitoring: Digital Twin Implementation in Road Asset Management by Vittorio Scolamiero, Piero Boccardo, Luigi La Riccia

“…To meet this new goal, one must be able to understand the urban system through the integrated use of different methods in a multi-level approach. In this context, mobile surveying is a consolidated method for data collection in urban environments. …”
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Mechanism of Influence of Spatial Perception on Residents’ Emotion in Child-Friendly Urban Streets of Fuzhou City by Shaofeng CHEN, Zhengyan CHEN, Yuhan XU, Zheng DING

“…The present research has made important progress, but there are still limitations in data sources and methods of analyzing residents’ emotions. …”
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Modifying milling parameters: Impact on selective separation of lithium-rich phases in a thermodynamically designed battery slag by Sima Hellmers, Hao Qiu, Bengi Yagmurlu, Arno Kwade

“…Thus, it can be concluded that the grinding parameters not only affect the comminution processes and their energy consumption, but also the particle morphology and flotation behavior. Therefore, an optimal mechanical pre-treatment of the slags enables an increase recovery of lithium in the recycling of LIBs and a decreasing the requirement of primary sources, both of which contribute to the circular economy.…”
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Assessment of mesenchymal stem cells for the treatment of spinal cord injury: a systematic review and network meta-analysis by Runfang Wang, Yiding Wang, Fangning Yan, Jinqing Sun, Tianyu Zhang

“…Network meta-analysis indicated that umbilical cord mesenchymal stem cells (UCMSCs) were the most effective cell source, and intrathecal injection (IT) was the optimal transplantation method.ConclusionThe study suggests that the current use of UCMSCs for IT transplantation may be the best transplantation strategy for improving functional impairment after SCI. …”
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