A review of periostin in orthopedics by Mark D. Wishman, William M. Sgrignoli, Brendan M. Patterson, James V. Nepola, Brian R. Wolf, Maria Bozoghlian, Carter M. Lane, Mitchell C. Coleman, Joseph W. Galvin

“…Methods: A comprehensive literature review was performed, synthesizing current available literature surrounding POSTN, including findings from human and rodent studies. Data were compiled from multiple large publication databases to provide a broad and current perspective on its roles and applications. …”
Get full text

Label-Efficient Fine-Tuning for Remote Sensing Imagery Segmentation with Diffusion Models by Yiyun Luo, Jinnian Wang, Jean Sequeira, Xiankun Yang, Dakang Wang, Jiabin Liu, Grekou Yao, Sébastien Mavromatis

“…High-resolution remote sensing imagery plays an essential role in urban management and environmental monitoring, providing detailed insights for applications ranging from land cover mapping to disaster response. …”
Get full text

Using Masked Image Modelling Transformer Architecture for Laparoscopic Surgical Tool Classification and Localization by Hisham ElMoaqet, Rami Janini, Mutaz Ryalat, Ghaith Al-Refai, Tamer Abdulbaki Alshirbaji, Nour Aldeen Jalal, Thomas Neumuth, Knut Moeller, Nassir Navab

“…Artificial intelligence (AI) has shown its potential to advance applications in various medical fields. One such area involves developing integrated AI-based systems to assist in laparoscopic surgery. …”
Get full text

Modern Comprehensive Metabolomic Profiling of Pollen Using Various Analytical Techniques by Petra Krejčí, Zbyněk Žingor, Jana Balarynová, Andrea Čevelová, Matěj Tesárek, Petr Smýkal, Petr Bednář

“…The obtained metabolomics data were utilized for pollen differentiation at the taxonomic scale and provided valuable information in relation to pollen interactions during reproduction and its related applications.…”
Get full text

Research on Path Smoothing Method for Robot Scanning Measurement Based on Multiple Curves by Chen Chen, Liandong Yu, Huakun Jia, Yichen Huang, Xiangyang Wang, Yang Lu, Rongke Gao, Hao Jin

“…In robot measurement applications, the original path often originates from the discrete output of CAD models or point cloud data of vision systems, and its measurement path is a linear path composed of discrete feature points. …”
Get full text

Spin-phonon coupling in two-dimensional magnetic materials by Hu Lili, Du Ke-zhao, Chen Yuzhong, Zhai Yuxin, Wang Xingzhi, Xiong Qihua

“…<p indent="0mm" deep="8">Recently, two-dimensional magnetic materials (2DMMs) have become a focused research direction in a broad range of two-dimensional materials, due to their underlying significance in fundamental research, as well as in technologically relevant applications for future spintronics, magnonics, quantum information and data storage. …”
Get full text

Utilizing machine learning algorithms for predicting Anxiety-Depression Comorbidity Syndrome in Gastroenterology Inpatients (ADCS-GI) by Min Tan, Jinjin Zhao, Yushun Tao, Uroosa Sehar, Yan Yan, Qian Zou, Qing Liu, Long Xu, Zeyang Xia, Lijuan Feng, Jing Xiong

“…We conducted extensive studies for the dataset, including data quantification, equilibrium, and correlation analysis. …”
Get full text

Automatic Landslide Detection in Gansu, China, Based on InSAR Phase Gradient Stacking and AttU-Net by Qian Sun, Cong Li, Tao Xiong, Rong Gui, Bing Han, Yilun Tan, Aoqing Guo, Junfeng Li, Jun Hu

“…In the context of massive SAR data, this problem is more obvious. Therefore, based on the current technique of using differential interferogram phase gradient stacking to avoid phase unwrapping errors, a landslide phase gradient dataset has been constructed. …”
Get full text

Literature Review of Prognostic Factors in Secondary Generalized Peritonitis by Valerii Luțenco, Adrian Beznea, Raul Mihailov, George Țocu, Verginia Luțenco, Oana Mariana Mihailov, Mihaela Patriciu, Grigore Pascaru, Liliana Baroiu

“…A total of 145 studies were identified, with 40 selected based on relevance and methodological quality. Data extraction included patient demographics, comorbidities, severity scores, microbiological profiles, and artificial intelligence applications in peritonitis management. …”
Get full text

Automatic segmentation of white matter lesions on multi-parametric MRI: convolutional neural network versus vision transformer by Yun-Ting Chen, Yan-Cheng Huang, Hsiu-Ling Chen, Hsin-Chih Lo, Pei-Chin Chen, Chiun-Chieh Yu, Yi-Chin Tu, Tyng-Luh Liu, Wei-Che Lin

“…DRLoc enhanced the Transformer’s performance, achieving comparable results on internal and benchmark datasets despite limited data availability. Conclusion With comparable computational overhead, a Transformer-based model can surpass a well-established convolution-based model in white matter hyperintensities segmentation on small datasets by capturing global context effectively, making them suitable for clinical applications where computational resources are constrained.…”
Get full text

West Africa Extreme Rainfall Events and Large-Scale Ocean Surface and Atmospheric Conditions in the Tropical Atlantic by S. Ta, K. Y. Kouadio, K. E. Ali, E. Toualy, A. Aman, F. Yoroba

“…Based on daily precipitation from the Global Precipitation Climatology Project (GPCP) data during April–October of the 1997–2014 period, the daily extreme rainfall trends and variability over West Africa are characterized using 90th-percentile threshold at each grid point. …”
Get full text

Predicting the Microbiome and Metabolome Dynamics of Natural Apple Fermentation Towards the Development of Enhanced Functional Vinegar by Bruna Leal Maske, Ignácio Ruiz, Alexander da Silva Vale, Vitória de Mello Sampaio, Najua Kêmil El Kadri, Carlos Ricardo Soccol, Gilberto Vinícius Pereira

“…These data suggest that an optimal microbial consortium for vinegar fermentation should include <i>Saccharomyces</i> for efficient alcohol production, <i>Leuconostoc</i> for ester-mediated flavor complexity, and <i>Acetobacter</i> for robust acetic acid production. …”
Get full text

Multibody kinematics optimization for motion reconstruction of the human upper extremity using potential field method by Iman Soodmand, Sven Herrmann, Eric Kleist, Annika Volpert, Hannes Wackerle, Peter Augat, Rainer Bader, Christoph Woernle, Maeruan Kebbach

“…To reconstruct joint angles from motion capture data, several multibody kinematic optimization methods have been developed. …”
Get full text

Hybrid Machine Learning Models for Predicting the Impact of Light Wavelengths on Algal Growth in Freshwater Ecosystems by Himaranga Sumanasekara, Harshi Jayasingha, Gayan Amarasooriya, Narada Dayarathne, Bandita Mainali, Lalantha Senevirathna, Ashoka Gamage, Othmane Merah

“…The integration of empirical data with machine learning offers a robust framework for predictive modeling in algal research and industrial applications.…”
Get full text

Natural products in treating diabetic kidney disease: a visualized bibliometric analysis by Tianlong Liu, Tianlong Liu, Xiaolin Li, Yidan Chen, Jinhu Li, Rong Wang, Yi Ding, Minna Liu

“…Extensive cooperation and communication among countries, institutions, and authors still need to be strengthened to promote basic research and clinical applications of natural products. Besides, the deep integration of network pharmacology with artificial intelligence and big data represents a hot topic and trend in future research on natural products against DKD.…”
Get full text

IOT based wearable sensor system architecture for classifying human activity by V. Mahalakshmi, Pramod Kumar, Manisha Bhende, Ismail Keshta, Swatiben Yashvantbhai Rathod, Janjhyam Venkata Naga Ramesh

“…Human Activity Recognition (HAR) has applications in diverse fields, including sports management and behavior classification. …”
Get full text

mtGrasp: Streamlined reference‐grade mitochondrial genome assembly and standardization to enhance metazoan mitogenome resources by Mark Louie D. Lopez, Cecilia L. Yang, Lauren Coombe, René L. Warren, Michael J. Allison, Jacob J. Imbery, Inanc Birol, Caren C. Helbing

“…Although these data sets contain mitochondrial sequences, this information remains largely untapped due to the limited specialized tools for assembling mitogenomes from short‐read libraries. …”
Get full text

Modeling the therapeutic dynamics of acupuncture and moxibustion: a systems biology approach to treatment optimization by Quan Gan, Qi-Wei Ge, Chuanxia Liu, Zhaoman Zhong, Jiaying Wu, Lei Shi, Jin Xu, Chen Li

“…The simulation results closely align with actual clinical data, supporting the model’s reliability and applicability. …”
Get full text

Predicting strength in polypropylene fiber reinforced rubberized concrete using symbolic regression AI techniques by Ahmed A. Alawi Al-Naghi, Kinza Aamir, Muhammad Nasir Amin, Bawar Iftikhar, Kashif Mehmood, Muhammad Tahir Qadir

“…This research contributes to the field by offering transparent, data-driven tools that aid in optimizing mix design while reducing the need for extensive laboratory trials. …”
Get full text

Shape-Dependent Dynamic Label Assignment for Oriented Remote Sensing Object Detection by Xue Zhang, Yanxia Wu, Guoyin Zhang, Ye Yuan, Guangliang Cheng, Yulei Wu

“…Oriented remote sensing object detection (ORSOD) has gained increasing significance in both military and civilian applications due to the necessity of accurately identifying objects with varying shapes and orientations in remote sensing data. …”
Get full text