Mapping the most effective measures to optimize carrot slice tray drying using physics-based and Monte Carlo simulations by Jörg Schemminger, Sharvari Raut, Barbara Sturm, Thijs Defraeye

Get full text

Laryngopharyngeal reflux in the light of current medical knowledge – a literature review by Stella Mieruszyńska, Jagoda Mikołajczyk, Maciej Gołębski, Wojciech Nowak, Zuzanna Kukla, Paulina Krzemińska, Mirosław Sawicki, Izabela Sadowska, Jakub Włosiański, Sebastian Musialik

“…Treatment of this disease is usually based on the trial-and-error method and observing patients’ responses. …”
Get full text

Study on carbon emissions of a small hydropower plant in Southwest China by Caihong Tang, Yiling Leng, Pengyu Wang, Jian Feng, Shanghong Zhang, Yujun Yi, Hui Li, Shaoliang Tian

“…The uncertainty was evaluated using the error propagation method. Following analysis, suggestions for carbon footprint reduction measures were proposed. …”
Get full text

Multistep PV power forecasting using deep learning models and the reptile search algorithm by Sameer Al-Dahidi, Hussein Alahmer, Bilal Rinchi, Abdullah Bani-Abdullah, Mohammad Alrbai, Osama Ayadi, Loiy Al-Ghussain

“…These findings support the broader adoption and further benchmarking of TFT future research.…”
Get full text

Enhancing Quality Control: A Study on AI and Human Performance in Flip Chip Defect Detection by Wannisa Cheamsiri, Anuchit Jitpattanakul, Paisarn Muneesawang, Konlakorn Wongpatikaseree, Narit Hnoohom

“…To address dataset imbalances, this research applies image augmentation techniques and generative artificial intelligence (AI) to synthesize additional HIP defect images. …”
Get full text

Influence of ultrasonication during soaking on water absorption and Softness characteristics in the cooking process of cowpea by Sholeh Rostamirad, K.G. Duodu, J.P. Meyer, M. Sharifpur

Get full text

Unmanned aerial sprayers: evaluating platform configurations and flight patterns for effective chemical applications in modern vineyards by M. Jacob Schrader, Dattatray G. Bhalekar, Ramesh K. Sahni, Lav R. Khot

Get full text

Machine learning-aided hybrid technique for dynamics of rail transit stations classification: a case study by Ahad Amini Pishro, Shiquan Zhang, Alain L’Hostis, Yuetong Liu, Qixiao Hu, Farzad Hejazi, Maryam Shahpasand, Ali Rahman, Abdelbacet Oueslati, Zhengrui Zhang

“…Additionally, a neural network achieving high accuracy on labeled data enhances the model’s predictive capabilities for unlabeled instances. The research demonstrates high accuracy, with the Mean Squared Error (MSE) for regression models (Multiple Linear Regression (MLR), Deep-Learning Neural Network (DNN), and K-Nearest Neighbor (KNN)) remaining below 0.012, while the neural networks used for station classification achieve 100% accuracy across seven time intervals and 98.15% accuracy for the eighth, ensuring reliable ridership forecasts and classification outcomes. …”
Get full text

Exploring <i>γ</i>-Ray Flares from High-Redshift Blazar B3 1343+451 at GeV Energies by Xiongfei Geng, Yang Liu, Gang Cao, Jing Fan, Xiongbang Yang, Nan Ding, Minghu Gao, Yehui Yang, Zhijie Zhang

Get full text

V˙O2 linear-onset kinetics spanning steady- and non-steady-state exercise by Robert Robergs, Robert Robergs, Robert Robergs, Bridgette O’Malley, Bridgette O’Malley, Anais Dewilde, Shaun D’Auria, Ales Krouzecky

“…Both sub-groups were similar in all measures of cardio-respiratory and muscular endurance.DiscussionThe LO V˙O2 kinetics method is superior to the traditional approach as it was a more valid representation of the initial V˙O2 response, can be applied to both steady and non-steady state exercise intensities, requires less than 2 min of exercise, but across multiple bouts, and identifies more complex physiology than the mono-exponential method. Added research is needed to discern the most valid methods to measure LO V˙O2 kinetics, and to learn more about its physiological determinants compared to the traditional mono-exponential method.…”
Get full text

Introducing a Novel Figure of Merit for Evaluating Stability of Perovskite Solar Cells: Utilizing Long Short-Term Memory Neural Networks by Zahraa Ismail, Ahmet Sait Alali, Ahmad Muhammad, Mahmoud Ashraf, Sameh O. Abdellatif

“…Furthermore, the enhanced LSTM architecture, featuring deeper layers, dropout for regularization, and batch normalization, demonstrated improved stability and training speed, leading to a test Mean Absolute Error (MAE) of 0.0354 and an R2 value of 0.9991, indicating near-perfect predictive accuracy. …”
Get full text

SPA-Net: An Offset-Free Proposal Network for Individual Tree Segmentation from TLS Data by Yunjie Zhu, Zhihao Wang, Qiaolin Ye, Lifeng Pang, Qian Wang, Xiaolong Zheng, Chunhua Hu

Get full text

Unraveling Plastic Pollution in Protected Terrestrial Raptors Using Regurgitated Pellets by Chloe Wayman, Francisca Fernández-Piñas, Irene López-Márquez, Rocío Fernández-Valeriano, Juan José Iglesias-Lebrija, Fernando González-González, Roberto Rosal, Miguel González-Pleiter

“…The concentrations (mean ± standard error of the mean) were 2.39 ± 0.39 MPs/pellet and 5.16 ± 0.72 AFs/pellet. …”
Get full text

Vegetable Commodity Organ Quality Formation Simulation Model (VQSM) in Solar Greenhouses by Chen Cheng, Liping Feng, Chaoyang Dong, Xianguan Chen, Feiyun Yang, Lu Wu, Jing Yang, Chengsen Zhao, Guoyin Yuan, Zhenfa Li

“…These results demonstrate that the proposed model can dynamically and accurately simulate the quality formation process of vegetables, providing a theoretical basis and data support for the research on productivity and the economic benefits of greenhouse crops.…”
Get full text

Characterizing wind, wave, and Stokes drift interactions in the upper ocean during Typhoon Doksuri using the COAWST model by Yaoyao Han, Changsheng Zuo, Zhizu Wang, Yucui Wang, Chengchen Tao, Xu Zhang, Juncheng Zuo

Get full text

Leveraging petrophysical and geological constraints for AI-driven predictions of total organic carbon (TOC) and hardness in unconventional reservoir prospects by Nandito Davy, Ammar El-Husseiny, Umair bin Waheed, Korhan Ayranci, Manzar Fawad, Mohamed Mahmoud, Nicholas B. Harris

Get full text

Assessing the association between tourism and the alcohol urban environment in Barcelona: a cross-sectional study by Xisca Sureda, Manuel Franco, Susanna Puigcorbé, Joan R Villalbí, Marina Bosque-Prous, Ester Teixidó-Compañó, Montserrat Bartroli, Albert Espelt

Get full text

BrYOLO-Mamba: A Approach to Efficient Tracheal Lesion Detection in Bronchoscopy by Yuejiao Cao, Jianzhong Zhang, Ruibing Zhuo, Jin Zhao, Yanting Dong, Tanzhen Liu, Hui Zhao

“…This model not only provides a powerful solution for bronchoscopic lesion detection but also significantly reduces computational costs, offering valuable insights for future research and clinical applications.…”
Get full text

Adapted Swin Transformer-based real-time plasma shape detection and control in HL-3 by Qianyun Dong, Zhengwei Chen, Rongpeng Li, Zongyu Yang, Feng Gao, Yihang Chen, Fan Xia, Wulyu Zhong, Zhifeng Zhao

“…In conclusion, this research opens up new avenues for the practical application of image-computing plasma shape diagnostic methods in the realm of real-time feedback control.…”
Get full text

Day-Ahead Complementary Operation for a Wind-Hydro-Thermal System Considering Multi-Dimensional Uncertainty by Xiaoyu Shi, Rong Jia, Qiang Huang, Guohe Huang, Xuewen Lei, Jiangfeng Li, Bo Ming, Zeqian Zhao, Le Li

Get full text