Estimation of Daylily Leaf Area Index by Synergy Multispectral and Radar Remote-Sensing Data Based on Machine-Learning Algorithm by Minhuan Hu, Jingshu Wang, Peng Yang, Ping Li, Peng He, Rutian Bi

“…Because of low estimation accuracy of empirical models based on single-source data, we proposed a machine-learning algorithm combining optical and microwave remote-sensing data as well as the random forest regression (RFR) importance score to select features. …”
Get full text

A Framework of Recommendation System for Unmanned Aerial Vehicle Autonomous Maneuver Decision by Qinzhi Hao, Tengyu Jing, Yao Sun, Zhuolin Yang, Jiali Zhang, Jiapeng Wang, Wei Wang

“…Notably, the prioritized experience replay deep deterministic policy gradient (PER-DDPG) algorithm, employing dense rewards and continuous actions, demonstrated superior performance, achieving a 69% success rate in confrontational scenarios against a versatile expert algorithm after 1000 training iterations, marking an 80% reduction in training time compared to conventional reinforcement learning methods. This framework not only streamlines the comparison of different maneuvering algorithms but also promotes the integration of multi-source expert knowledge and sophisticated algorithms, paving the way for advanced UAV applications in complex operational environments.…”
Get full text

Therapeutic strategies for fungating and ulcerating breast cancers: A systematic review and narrative synthesis by Valentina Zagardo, Mandara Harikar, Gianluca Ferini

“…Background: To identify optimal therapeutic strategies for managing fungating, large or ulcerating breast tumors and highlight existing gaps in the literature. …”
Get full text

Experimental Study of a Broadband Vibration Energy Harvester Based on Orthogonal Magnetically Coupled Double Cantilever Beam by Yanhao Feng, Jianhua Wang, Xiangye Chen, Peng Liu

“…The findings provide a new perspective and theoretical basis for the optimal design of broadband vibration energy harvesters.…”
Get full text

Purification of Flavonoids from an Aqueous Cocoa (<i>Theobroma cocoa</i> L.) Extract Using Macroporous Adsorption Resins by Nicole Beeler, Tilo Hühn, Sascha Rohn, Renato Colombi

“…Cocoa is a rich source of health-promoting polyphenols such as flavanols. …”
Get full text

Surgically treated ankle fractures in Sweden: a 15-year population-based study of 96 015 surgeries by Gustav Nilsson, Michael Axenhus

“…Understanding trends in ankle fracture surgeries is essential for optimizing treatment strategies and improving patient outcomes. …”
Get full text

Surgical treatment of patients with abdominal sepsis taking into account the prediction of the implementation of re-operations by I. A. Kryvoruchko, M. S. Antonova, O. V. Yevtushenko, S. A. Andreieshchev

“…Calculations of the occurrence possibility for postoperative complications and mortality in patients, depending on their preoperative state severity permits to select a most rational tactics of treatment. Most optimal approach for the rate reduction of postoperative complications occurrence and mortality in patients with abdominal sepsis and septic shock is performance of reoperations in accordance to indications to control the infection source, if it is possible.…”
Get full text

Parametric analysis of self-excited aeroelastic instability of an isolated single-axis two-dimensional flat solar tracker by Juan A. Cárdenas-Rondón, Carlos Carbajosa, Sergio Marín-Coca, Alejandro Martínez-Cava

“…The escalating global energy demand is driving a transition towards sustainable energy sources, particularly solar power, which is experiencing significant growth. …”
Get full text

Realizing the Promise of Artificial Intelligence in Hepatocellular Carcinoma through Opportunities and Recommendations for Responsible Translation by Tamer Addissouky, Majeed M. A. Ali, Ibrahim El Tantawy El Sayed, Mahmood Hasen Shuhata Alubiady

“…AI-based recommendation systems have the potential to optimize personalized therapy selection, while augmented reality techniques can guide interventional procedures in real-time. …”
Get full text

Research on Gating Fusion Algorithm for Power Grid Survey Data Based on Enhanced Mamba Spatial Neighborhood Relationship by Aiyuan Zhang, Jinguo Lv, Yu Geng, Xiaolei Wang, Xianhu Li

“…Both qualitative and quantitative analyses indicate that our method outperforms 11 existing methods in terms of fusion effectiveness, particularly in reducing spectral distortion and spatial detail loss. …”
Get full text

Multivariate Machine Learning Model Based on YOLOv8 for Traffic Flow Prediction in Intelligent Transportation Systems by Fukui Wu, Hanzhong Tan, Linfeng Zhang, Shuangbing Wen, Tao Hu

“…Building on this, we propose a hybrid model combining Gradient Boosting Regression (GBR) and Support Vector Regression (SVR), where the GBR component captures complex nonlinear patterns in traffic flow data, while the SVR component enhances the model&#x2019;s generalization ability by optimizing predictions. Experimental results demonstrate that the proposed GBR-SVR model outperforms comparative methods in short-term traffic flow prediction, particularly under dynamic and complex traffic conditions. …”
Get full text

Enhancing patient-centered information on implant dentistry through prompt engineering: a comparison of four large language models by John Rong Hao Tay, John Rong Hao Tay, Dian Yi Chow, Yi Rong Ivan Lim, Ethan Ng, Ethan Ng

“…While prompt designs can enhance response quality, further refinement is necessary to optimize its performance.…”
Get full text

Using large language models to extract plant functional traits from unstructured text by Viktor Domazetoski, Holger Kreft, Helena Bestova, Philipp Wieder, Radoslav Koynov, Alireza Zarei, Patrick Weigelt

“…While global trait datasets have advanced the field, substantial gaps remain, and extracting trait information from text in books, research articles, and online sources via machine learning offers a valuable complement to costly field campaigns. …”
Get full text

Rapid and Accurate Measurement of Major Soybean Components Using Near-Infrared Spectroscopy by Chenxiao Li, Jiatong Yu, Sheng Wang, Qinglong Zhao, Qian Song, Yanlei Xu

“…Thirty soybean samples from diverse sources were collected, and 360 spectral measurements were acquired using a 900–1700 nm NIR spectrometer after grinding and standardized sampling. …”
Get full text

The role of rationality and intuition in creating strategic military documents by Štěpánková Eva, Binková Kristýna

“…However, intuition prevails in the ratio of both approaches, which can be the cause of not quite optimal output. Processed strategic documents suffer from some shortcomings (i.e. inconsistency of formal and content aspects, insufficient measurability, objectivity and comparability), which are related to insufficient or incorrect use of exact methods and a systematic approach. …”
Get full text

Artificial Intelligence in Wind Turbine Fault Detection and Diagnosis: Advances and Perspectives by Nejad Alagha, Anis Salwa Mohd Khairuddin, Zineddine N. Haitaamar, Obada Al-Khatib, Jeevan Kanesan

“…The global shift toward renewable energy, particularly wind power, underscores the critical need for advanced fault diagnosis systems to optimize wind turbine reliability and efficiency. While traditional diagnostic methods remain foundational, their limitations in addressing the nonlinear dynamics and operational complexity of modern turbines have accelerated the adoption of Artificial Intelligence (AI)-driven approaches. …”
Get full text

Mentorship in Plastic Surgery: A Systematic Review of the Current Literature and Elucidation of Recurring Themes by Benjamin K. Stone, MSc, Theodore A. Kung, MD, Turkia Abbed, MD, FACS, Ines Lin, MD, Vinay Rao, MD, MPH

“…Eligibility criteria included primary sources that explicitly commented on the qualities of an effective mentor in plastic surgery. …”
Get full text

A deep learning model to predict glioma recurrence using integrated genomic and clinical data by Jessica A. Patricoski-Chavez, Seema Nagpal, Ritambhara Singh, Jeremy L. Warner, Ece D. Gamsiz Uzun

“…Currently, no widely available models exist for reliably predicting early glioma recurrence, which is critical for optimizing patient outcomes. Machine learning (ML) and deep learning (DL) techniques have shown promise in predicting recurrence for various cancers, with those utilizing multimodal data sources showing increasing promise. …”
Get full text

Peculiarities of the Use of Professionally Oriented Vocabulary by Future Agrarians while Learning English by Valentyna Malyk

“…The methodology covers a comprehensive set of theoretical and empirical research methods, including the analysis of scientific sources, regulatory documents, pedagogical observation, description, classification and systematization. …”
Get full text

Effects of Music on Pain and Anxiety During Otolaryngology Surgery: A Systematic Review and Meta‐analysis by Kenny Do, Eric Kawana, Kurtis Young, Harry H. Ching, Jo‐Lawrence Bigcas

“…The objective of this study is to evaluate the effectiveness of music therapy on anxiety and pain during these procedures. Data Sources PubMed and Embase. Review Methods A systematic search was conducted using the PRISMA approach to retrieve articles published between 1980 and March 2024. …”
Get full text