Policy relevant crop diversity monitoring based on earth observation and farmers’ declarations by Marijn van der Velde, Martin Claverie, Raphaël d’Andrimont, Melissande Machefer, Simona Bosco, Rui Catarino, Frank Dentener, Vincenzo Angilieri

“…Agricultural policies such as the Common Agricultural Policy (CAP) in the European Union (EU) stimulate more diverse crop-mixes. We compute a new EU-wide overview of crop diversification for 2018 using the Shannon diversity index based on 10 m resolution EO crop map. …”
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Spatio-Temporal Segmented Traffic Flow Prediction with ANPRS Data Based on Improved XGBoost by Bo Sun, Tuo Sun, Pengpeng Jiao

“…The experiment results indicate that the proposed framework is convincing, satisfactory, and computationally reasonable.…”
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Estimating the Torsional Capacity of Reinforced Concrete Beams Using ANFIS Models by Zhao Wenwu, Zeng Shaowu, Gong Guilin, Li Qiangqiang, Li Kexing

“…To overcome this limitation, accurate Machine Learning (𝑀𝐿) models might replace more sophisticated and computationally intensive models. This work evaluates and determines the most effective tree-based machine learning algorithms to estimate the torsional capacity (𝑇𝑟) of 𝑅𝐶 beams subjected to pure torsion. …”
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Application value of different imaging methods in the early diagnosis of small hepatocellular carcinoma: a network meta-analysis by Jian Dong, Zhen Wang, Si-Rui Wang, Huan Zhao, Jun Li, Ting Ma

“…ObjectiveTo determine the diagnostic value of ultrasound, multi-phase enhanced computed tomography, and magnetic resonance imaging of small hepatocellular carcinoma.MethodsExperimental studies on diagnosing small hepatocellular carcinoma in four databases: PubMed, Cochrane Library, Web of Science, and Embase, were comprehensively searched from October 2007 to October 2024. …”
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Systematic Exploration of the Knowledge Graph on Rock Porosity Structure by Chengwei Geng, Fei Xiong, Yong Liu, Yun Zhang, Yi Xue, Tongqiang Xia, Ming Ji

“…This paper provides a comprehensive overview of the main technical methods employed in recent research on rock porosity structure, including X-ray computed tomography, scanning electron microscopy, nuclear magnetic resonance, and 3D reconstruction technologies. …”
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APPLICATION OF SINMAP AND ANALYSIS OF MODEL SENSITIVITY – CASE STUDIES FROM GERMANY AND CHINA by BENNI THIEBES, RAINER BELL, THOMAS GLADE, JIAN WANG, SHIBIAO BAI

“…Based on the results it can be concluded that SINMAP is capable of appropriately computing regional landslide susceptibility for large areas and can provide useful information, especially when high detail topography data is available. …”
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Survey on intellectual property protection for deep learning model by Xinya WANG, Guang HUA, Hao JIANG, Haijian ZHANG

“…With the rapid development of deep learning technology, deep learning models have been widely used in many fields such as image classification and speech recognition.Training a deep learning model relies on a large amount of data and computing power, thus selling the trained model or providing specific services (DLaaS, e.g.) has become a new business.However, the commercial interests of model trainers and the intellectual property rights of model developers may be violated if the model is maliciously stolen.With deep neural network watermarking becoming a new research topic, multimedia copyright protection techniques were used for deep learning model protection.Numerous methods have been proposed in this field and then a comprehensive survey is needed.the existing deep neural network watermarking methods were elaborated and summarized and the future research directions of this field were discussed.The overall framework of neural network watermarking was presented, whereby the basic concepts such as classification model and model backdoor were introduced.Secondly, the existing methods were divided into two types according to the mechanism of watermark embedding, one is to embed the watermark bits into the carrier of internal information of the network, and the other one uses the established backdoor mapping as the watermark.These two existing deep neural network watermarking methods were analyzed and summarized, and attacks to the watermarks were also introduced and discussed.By analyzing the white-box and black-box conditions in watermarking scenario, it comes to the conclusion that the model is difficult to be effectively protected when it is distributed in the white-box manner, and the neural network watermark defenses in the black-box distribution and black-box verification are both worthy for further research.…”
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Clinical case of a pelvic fracture with massive retroperitoneal hematoma by D.A. Krishtafor, A.A. Krishtafor, A.V. Tsarev, D.V. Balyk, A.Y. Halushchak, V.A. Pelekh

“…The article presents a clinical case of a pelvic fracture with a massive retroperitoneal hematoma in a 30-year-old man who was brought to the regional hospital in hemorrhagic shock 5 hours after falling from the 5th floor. Upon admission, computed tomography (CT) showed a rupture of the pubic joint, a multifragmentary fracture of the sacrum, and the presence of a hematoma in the right parts of the pelvic cavity. …”
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Investigation of the Pulmonary Artery Hypertension Using an Ad Hoc OpenFOAM CFD Solver by Francesco Duronio, Paola Marchetti

“…Cardiovascular diseases are a group of disorders that affect the heart and blood vessels, representing a leading cause of death worldwide. With the help of computational fluid dynamics, it is possible to study the hemodynamics of the pulmonary arteries in detail and simulate various physiological conditions, thus offering numerous advantages over invasive analyses in the phases of diagnosis and surgical planning. …”
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Thermal radiation and thermo-diffusion in Casson-ferrofluid over a magnetized porous surface: RSM analysis by S. Manjunatha, J. Santhosh Kumar, Khalil Ur Rehman, Wasfi Shatanawi, S.V.K. Varma

“…The derived quantities, namely skin friction, Nusselt number, and Sherwood number at the stretching surface, are also computed. The effects of various parameters on flow-derived quantities have been analyzed and discussed. …”
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COVID-19 World Vaccine Adverse Reactions Based on Machine Learning Clustering Algorithm by Lozan M. Abdulrahman, Adnan Mohsin Abdulazeez, Dathar A. Hasan

“…Clustering algorithms have been used in computational intelligence and digital analysis, which is one of the areas that has taken this into account. …”
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Feasibility of transpedicular screw placement through the posterior arch of C1: A CT study in the Emirati population by Ivan James Prithishkumar, Dineshwary Suresh, Nerissa Naidoo, Rashid AlSharhan, Usama Al Bastaki, Jeyaseelan Lakshmanan, Baylis Vivek Joseph

“…The objective of this study was to look at the feasibility of transpedicular screw placement into the C1 lateral mass with entry through the posterior arch. Methods: Computed tomography images of the cervical spine in 160 adults (>18 years) who are natives of the United Arab Emirates (UAE) (M = 80; F = 80) were reviewed. …”
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Combining Postural Sway Parameters and Machine Learning to Assess Biomechanical Risk Associated with Load-Lifting Activities by Giuseppe Prisco, Maria Agnese Pirozzi, Antonella Santone, Mario Cesarelli, Fabrizio Esposito, Paolo Gargiulo, Francesco Amato, Leandro Donisi

“…This study aimed to evaluate the potential of machine learning models, trained on postural sway metrics derived from an inertial measurement unit (IMU) placed at the lumbar region, to classify risk levels associated with load lifting based on the Revised NIOSH Lifting Equation. <b>Methods</b>: To compute postural sway parameters, the IMU captured acceleration data in both anteroposterior and mediolateral directions, aligning closely with the body’s center of mass. …”
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Improving the quality of barley transcriptome <i>de novo</i> assembling by using a hybrid approach for lines with varying spike and stem coloration by N. A. Shmakov

“…De novo transcriptome assembly is an important stage of RNA-seq data computational analysis. It allows the researchers to obtain the sequences of transcripts presented in the biological sample of interest. …”
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Augmented Reality-Assisted Pancreaticoduodenectomy with Superior Mesenteric Vein Resection and Reconstruction by Rui Tang, Wei Yang, Yucheng Hou, Lihan Yu, Guangdong Wu, Xuan Tong, Jun Yan, Qian Lu

“…Three patients with PHC and tumor invasion of the SMV underwent AR-assisted PD with SMV resection and reconstruction following preoperative computed tomography scanning. Preoperative imaging data were used to reconstruct 3D images of anatomical structures, including the tumor, portal vein (PV), SMV, and splenic vein (SV). …”
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Severe Pulmonary Infection in a 20-Month-Old Female by Yasmeen Mann, Paul Zeller, Kristen Carrillo-Kappus, Melissa Victor, Mary Moore

“…Ultrasound findings prompted the need for contrast-enhanced computed tomography (CT) of the chest. Contrast-enhanced CT of the chest confirmed a large pleural effusion with major atelectasis and mediastinal shift. …”
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Probabilistic forecasting of multiple plant day-ahead renewable power generation sequences with data privacy preserving by Hong Liu, Zijun Zhang

“…To verify the advantages of the DIFL, a preliminary exploration of its theoretical property is first conducted. Next, computational studies are performed to benchmark the DIFL against famous baselines based on datasets collected from commercial renewable power plants. …”
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One-loop impact factors for heavy quarkonium production: S-wave case by Maxim A. Nefedov

“…Abstract With the aim to extend the study of inclusive heavy quarkonium production at forward rapidities with the resummation of high partonic center-of-momentum-energy logarithms beyond Leading Logarithmic Approximation (LLA), the explicit analytic results for one-loop corrections to the following impact factors had been obtained: γR → Q Q ¯ S 1 0 8 $$ Q\overline{Q}\ \left[{^1S}_0^{\left[8\right]}\right] $$ , gR → Q Q ¯ S 1 0 1 $$ Q\overline{Q}\ \left[{^1S}_0^{\left[1\right]}\right] $$ , gR → Q Q ¯ S 1 0 8 $$ Q\overline{Q}\ \left[{^1S}_0^{\left[8\right]}\right] $$ and gR → Q Q ¯ S 3 1 8 $$ Q\overline{Q}\ \left[{^3S}_1^{\left[8\right]}\right] $$ , with R being the Reggeized gluon and Q is the heavy quark. The computation is done in the framework of Lipatov’s gauge-invariant EFT for Multi-Regge processes in QCD with the tilted-Wilson-line regularisation for rapidity divergences. …”
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Diagnostic value and safety of contact laser-assisted endobronchial ultrasound-guided tunnel drilling biopsy in mediastinal and hilar lymphadenopathy: a retrospective study by Wenyu Zhan, Tian Wang, Changqing Yang, Yubao Wang, Nansheng Wan, Jing Feng

“…This study aims to evaluate the diagnostic value and safety of contact laser-assisted EBUS-TDB compared to EBUS-TBNA in the assessment of mediastinal and hilar lymph nodes.MethodsThis retrospective study included patients who presented to our hospital between October 2022 and April 2024 with mediastinal or hilar lymph nodes of short diameter ≥ 1 cm on computed tomography (CT) or abnormally increased lymph node metabolism on positron emission tomography (PET)-CT. …”
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Modeling of magnetic vestibular stimulation experienced during high-field clinical MRI by Ismael Arán-Tapia, Vicente Pérez-Muñuzuri, Alberto P. Muñuzuri, Andrés Soto-Varela, Jorge Otero-Millan, Dale C. Roberts, Bryan K. Ward

“…Methods We developed a mathematical model integrating computational fluid dynamics, fluid-structure interaction solvers, and magnetohydrodynamic equations to simulate the biomechanical response of the cristae ampullares. …”
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