Enhanced 3-D Reconstruction Method for Polarimetric Coherent Optimal-Based Tomographic SAR by Shuhang Dong, Zekun Jiao, Liangjiang Zhou, Xiaolan Qiu, Qiancheng Yan

“…However, in the practical application, there are relatively few models and algorithms for full-polarized SAR joint 3-D imaging. …”
Get full text

Challenges, Difficulties, and Delayed Diagnosis of Multiple Myeloma by Tugba Zorlu, Merve Apaydin Kayer, Nazik Okumus, Turgay Ulaş, Mehmet Sinan Dal, Fevzi Altuntas

Get full text

Can Stereoscopic Density Replace Planar Density for Forest Aboveground Biomass Estimation? A Case Study Using Airborne LiDAR and Landsat Data in Daxing’anling, China by Xuan Mu, Dan Zhao, Zhaoju Zheng, Cong Xu, Jinchen Wu, Ping Zhao, Xiaomin Li, Yong Pang, Yujin Zhao, Tianyu An, Yuan Zeng, Bingfang Wu

“…Accurate regional-scale AGB estimation is crucial for advancing research on global climate change, ecosystem carbon cycles, and ecological conservation. …”
Get full text

The phenomenon of digital paternalism as a factor in the transformation of state youth policy by  S. V. Polyakov

“…The scientific novelty lies in the conceptualization of «digital paternalism» as a qualitatively new stage in the evolution of state youth policy, synthesizing elements of traditional paternalism with the capabilities of digital platforms and algorithmic governance. The practical significance of the research consists in identifying specific mechanisms for implementing digital paternalism that increase youth engagement, reduce negative perceptions of state initiatives, and optimize state resources. …”
Get full text

Implications of machine learning techniques for prediction of motor health disorders in Saudi Arabia by Ehab M. Almetwally, I. Elbatal, Mohammed Elgarhy, Amr R. Kamel

“…The RF technique achieves the largest area under the curve, and the RF technique is the most effective of all ML algorithms, according to the results of the applied ML algorithms. …”
Get full text

Preliminary Results in the Investigation of In Vivo Iliac and Coronary Flow Collision, Vortex Formation, and Disorganized Flow Degeneration: Insights from Invasive Cardiology Based... by Thach Nguyen, Hieu D. Nguyen, Hoang V. K. Dinh, Tien H. T. Dinh, Khiem Ngo, Hieu H. Truong, Hien Q. Nguyen, Vu Tri Loc, Thien Le, Nhi Vo, Trung Q. T. Le, Tam Tran, Chau Dang, Vy Le, Dat Q. Ha, Hadrian Tran, Mihas Kodenchery, Marco Zuin, Gianluca Rigatelli, Miguel Antunes, Quynh T. N. Nguyen, Aravinda Nanjundappa, C. Michael Gibson

“…<b>Background</b>: In the research of coronary artery disease, the precise initial injury that starts the atherosclerotic cascade remains unidentified. …”
Get full text

From community to science to community, enhancing remote sensing of water quality in Chesapeake Bay tributaries through participatory science by Min-Sun Lee, Maria Tzortziou, Ji-Eun Park, Tong Lin, Patrick Neale, Shelby Brown, Tara Sill, Alison Cawood

Get full text

Trends, Approaches, and Gaps in Scientific Workflow Scheduling: A Systematic Review by Aurelio Vivas, Andrei Tchernykh, Harold Castro

“…Moreover, the potential of machine learning techniques for scheduling algorithms remains largely untapped. By providing a comprehensive catalog of existing scheduling algorithms, this review aims to support future research and practical implementations in the field of scientific workflow scheduling.…”
Get full text

LQR-based control strategy for improving human–robot companionship and natural obstacle avoidance by Zefan Su, Hanchen Yao, Jianwei Peng, Zhelin Liao, Zengwei Wang, Hui Yu, Houde Dai, Tim C. Lueth

Get full text

CASSNet: Cross-Attention Enhanced Spectral&#x2013;Spatial Interaction Network for Hyperspectral Image Super-Resolution by Zhanxu Zhang, Linzi Yang, Guanglian Zhang, Jiangwei Deng, Lifeng Bian, Chen Yang

“…The experiments on three publicly available datasets demonstrated that the proposed method obtained superior SR results, outperforming state-of-the-art SR algorithms.…”
Get full text

Non-invasive detection of Parkinson’s disease based on speech analysis and interpretable machine learning by Huanqing Xu, Wei Xie, Mingzhen Pang, Ya Li, Luhua Jin, Fangliang Huang, Xian Shao

Get full text

Evaluation of machine learning methods for prediction of heart failure mortality and readmission: meta-analysis by Hamed Hajishah, Danial Kazemi, Ehsan Safaee, Mohammad Javad Amini, Maral Peisepar, Mohammad Mahdi Tanhapour, Arian Tavasol

Get full text

On Process Model Synthesis Based on Event Logs with Noise by A. A. Mitsyuk, I. S. Shugurov

Get full text

Mechanism and relevance of necroptosis to immune microenvironment of periodontitis: A pilot study by ZHENG Zhanglong, LI Jia, JIANG Jirui, SHAN Zhengnan, LI Shengjiao

Get full text

Combined impact of semantic segmentation and quantitative structure modelling of Southern pine trees using terrestrial laser scanning by Jinyi Xia, Timothy A. Martin, Gary F. Peter, Kody M. Brock, Jeff W. Atkins, Matthew A. Gitzendanner, Inacio Bueno, Kim Calders, Ana Paula Dalla Corte, Andrew T. Hudak, Monique Bohora Schlickmann, Michael G. Andreu, Caio Hamamura, Carine Klauberg, Carlos A. Silva

“…These findings highlight the importance of selecting segmentation algorithms based on specific research goals, balancing accuracy and computational feasibility in forest structural modeling.…”
Get full text

Detection of litchi fruit maturity states based on unmanned aerial vehicle remote sensing and improved YOLOv8 model by Changjiang Liang, Changjiang Liang, Dandan Liu, Dandan Liu, Weiyi Ge, Weiyi Ge, Wenzhong Huang, Wenzhong Huang, Yubin Lan, Yubin Lan, Yubin Lan, Yongbing Long, Yongbing Long, Yongbing Long, Yongbing Long

Get full text

A multi-cohort validated OXPHOS signature predicts survival and immune profiles in grade II/III glioma patients by Jun Mou, Min Zhang, Fumin Qin, Yajie Cui, Keyou Xu, Baoye Pang, Xinyue Li, Wanyi Tan, Aiqi Yang, Yaxin Liu, Lingjun Shen, Yanting Liu, Kai Xu

Get full text

Optimization configuration of coal mine multi-energy complementary heat and power coordinated supply system in western China by Longfei WANG, Shuai WANG, Qing LI, Ruihua LI, Jin WU, Yi XIANG, Zhe BING

“…Based on load data, equipment models, and optimization algorithms, a multi-energy complementary combined heat and power supply model was constructed. …”
Get full text

ALICENET – an Italian network of automated lidar ceilometers for four-dimensional aerosol monitoring: infrastructure, data processing, and applications by A. Bellini, A. Bellini, A. Bellini, H. Diémoz, L. Di Liberto, G. P. Gobbi, A. Bracci, F. Pasqualini, F. Barnaba

“…In Italy, the Institute of Atmospheric Sciences and Climate (ISAC) of the National Research Council (CNR) established the ALICENET network of automated lidar ceilometers (ALCs) in 2015. …”
Get full text

Carbapenemases Produced by Multidrug-Resistant Strains of <i>Klebsiella Pneumoniae</i> Isolated from Intensive Care Patients by T. V. Chernenkaya, L. A. Borisova, T. Yu. Vorobieva, M. A. Godkov, A. K. Shabanov

“…Carbapenemase genes were detected by real-time PCR using the kits of reagents “AmpliSens MDR-MBL-FL” and “AmpliSens MDR-KPC/OXA-48-FL” on a “Rotor Gene” device (Corbett Research, Australia).Results Etiologically significant microorganisms were detected in 64.7% of the studied samples. …”
Get full text