A clinical study exploring the prediction of microvascular invasion in hepatocellular carcinoma through the use of combined enhanced CT and MRI radiomics. by Jiangfa Li, Wenxiang Song, Jixue Li, Lv Cai, Zhao Jiang, Mengxiao Wei, Boming Nong, Meiyu Lai, Yiyi Jiang, Erbo Zhao, Liping Lei

“…The predictive performance of the model was evaluated using the receiver operator characteristic curve (ROC), calibration curve, and decision curve analysis (DCA).…”
Get full text

Depth-specific soil moisture estimation in vegetated corn fields using a canopy-informed model: A fusion of RGB-thermal drone data and machine learning by Milad Vahidi, Sanaz Shafian, William Hunter Frame

“…By integrating a comprehensive dataset that covers the full spectrum of the growing season from early to late stages. we evaluated soil moisture at multiple depths including 10, 20, 30, and 40 cm. …”
Get full text

Exploring the role of alternative lengthening of telomere-related genes in diagnostic modeling for non-alcoholic fatty liver disease by Nan Zhu, Xiaoliang Wang, Huiting Zhu, Yue Zheng

“…This study identified the key genes using receiver operating characteristic and Friends analysis. Expression of these genes was validated in a mouse model of NAFLD. …”
Get full text

Knowledge and application of sonographic scoring models for ovarian cancer management among gynecologists in Saudi Arabia: a cross-sectional study by Rana Aldahlawi

“…Common diagnostic tools include Cancer Antigen 125 (CA125) and ultrasound, but these methods are limited by sensitivity, specificity, and operator dependence. The Risk of Malignancy Index (RMI) and the Assessment of Different NEoplasias in the Adnexa (ADNEX) model, which integrates ultrasound and CA125, offer improved diagnostic accuracy. …”
Get full text

Effect of internal taper of endocrown preparation on the adaptation of 3D-printed restorations by Mahdi Zerafat, Marzieh Alikhasi, Negin Yaghoobi, Nikfam Khoshkhounejad

“…Objective: This study aimed to evaluate the influence of different internal taper angles in endocrown preparations on the marginal and internal adaptation of 3D-printed restorations.Methods: Three standardized mandibular first molar models were prepared with internal taper angles of 6°, 10°, and 22°. …”
Get full text

Health system costs of a breast cancer early diagnosis programme in a rural district of Rwanda: a retrospective, cross-sectional economic analysis by Lydia E Pace, Lawrence N Shulman, Jean Claude Mugunga, Parsa Erfani, Kayleigh Pavitra Bhangdia, Rashidah Nambaziira, Lysa Carolle Niteka, Jean Marie Vianney Dusengimana, John Ruhumuriza, Marie Louise Uwineza, Vestine Rugema, Cyprien Shyirambere, Melany Rabideau

“…Total start-up and recurring operational costs were also estimated, as well as health system costs of different scale-up adaptations in other districts.Results One-time start-up costswere US$36 917, recurring operational costswere US$67 711 and clinical costswere US$14 824 over 2 years. …”
Get full text

Real time thermal environment monitoring and interior design of intelligent buildings based on the Internet of Things by Lang Jiaoyu

“…This article aims to explore the real-time monitoring and regulation methods of indoor thermal energy environment in intelligent buildings based on the Internet of Things, and clarify the understanding of thermal microclimate and corresponding evaluation methods. We adopted thermal energy environment evaluation technology, deeply explored the characteristics of indoor thermal energy environment, and evaluated the effectiveness of different evaluation methods. …”
Get full text

The Application of Deep Learning for Lymph Node Segmentation: A Systematic Review by Jingguo Qu, Xinyang Han, Man-Lik Chui, Yao Pu, Simon Takadiyi Gunda, Ziman Chen, Jing Qin, Ann Dorothy King, Winnie Chiu-Wing Chu, Jing Cai, Michael Tin-Cheung Ying

“…The introduction of deep learning technologies offers new possibilities for improving the accuracy of lymph node image analysis. This study evaluates the application of deep learning in lymph node segmentation and discusses the methodologies of various deep learning architectures such as convolutional neural networks, encoder-decoder networks, and transformers in analyzing medical imaging data across different modalities. …”
Get full text

Toward the Application of Dual-Energy Computed Tomography with Virtual Non-Hydroxyapatite Color-Coded Maps to Identify Traumatic Fractures in Daily Emergency Settings by Claudio Ventura, Laura Maria Cacioppa, Sonia Caldarelli, Giovanni Sallei, Federico Lamponi, Marco Mascitti, Marina Carotti, Chiara Floridi, Gianluca Valeri

“…The highest values of diagnostic performance for VNHAP images were obtained in terms of SP (90.9% and 95%) and PPV (87.5% and 92.8%) and for the less experienced operator. No statistically significant differences were observed between the diagnostic accuracy of the two readers in the evaluation of VNHAP images. …”
Get full text

Ultrasound-based radiomic nomogram for predicting the invasive status of breast cancer: a multicenter study by Dan Yan, Jingwen Xie, Wanling Cheng, Wen Xue, Yaohong Den, JianXing Zhang

“…The diagnostic performances of these different models were assessed and compared by calculating the area under the receiver operating curve (AUC) as well as the corresponding sensitivity and specificity from the internal and external test sets. …”
Get full text

The long-term impact of vaccine clinical research on national stakeholders involved: Experience from a low-income Country by Rejwana Haque Pial, Ganesh Kumar Rai, Rajeev Shrestha, Santa Kumar Das, Ram Hari Chapagain, Shipra Chaudhary, Dipesh Tamrakar, Piush Kanodia, Pragya Thapa, Sridhar Vemula, Birendra Prasad Gupta, Alexandra Hill, Derick Kimathi, Rita Baiden, Hee Soo Kim, Jean-Louis Excler, T. Anh Wartel, Sushant Sahastrabuddhe, Tarun Saluja

Get full text

The development of a multimodal prediction model based on CT and MRI for the prognosis of pancreatic cancer by Zheng Dou, Jiaxi Lin, Chenghao Lu, Xiaoting Ma, Ruoxu Zhang, Jinzhou Zhu, Songbing Qin, Chao Xu, Jinli Li

“…These models included a radiomics model based on contrast-enhanced CT, a radiomics model based on MRI, a clinical model, 3 bimodal models combining two types of features, and a multimodal model combining radiomics features with clinical features. Model performance evaluation in the test set was based on two dimensions: discrimination and calibration. …”
Get full text

The role of femoropopliteal calcification pattern on outcomes after endovascular treatment of patients with peripheral arterial disease by Gonçalo Araújo, Ricardo Correia, Tiago Ribeiro, Joana Cardoso, Helena Fidalgo, Carolina Tavares, Maria Emília Ferreira

“…This study aimed to evaluate the impact of the pattern of FP calcification on EVT outcomes. …”
Get full text

Studi Model Bisnis Eksisting dalam Implementasi Layanan Lumpur Tinja Terjadwal (LLTT) di Bawah Satuan Kerja (Studi kasus: Kota Bekasi dan Kota Makassar) dan BUMD (Studi kasus: Kota... by Saffanah Gumilangsari, Muhammad Sonny Abfertiawan, Prayatni Soewondo

“…This study aims to identify and evaluate the business model that implements the LLTT method that operate under Local’s Work Units (UPTD) and under Regional/Locals’s Owned Enterprises (BUMD) with the method of observation, literature study, and interviews. …”
Get full text

Monitoring Livestock Health by Modeling Rumination Behavior According to Accelerometer-Based Information by E. Vahedi Tekmehdash, H. Navid, H. Ghasemzadeh, H. Karimi, M. Javani Holan

“…The developed model was evaluated using the receiver operating characteristic (ROC) curve, and three other evaluation criteria: precision, sensitivity, and F-score. …”
Get full text

Topologizing Homeomorphism Groups by A. Di Concilio

“…This paper surveys topologies, called admissible group topologies, of the full group of self-homeomorphisms of a Tychonoff space , which yield continuity of both the group operations and at the same time provide continuity of the evaluation function or, in other words, make the evaluation function a group action of on . …”
Get full text

Research on the Condition Assessment Method of Mechanical Seal Based on Fusing Multi-Graph Neural Networks From Decision Layer by Xiaoran Zhu, Binhui Wang, Junchao Chen, Zipeng Li

“…Firstly, several types of sensors are used to monitor the operational status of the mechanical seal comprehensively and accurately, capturing different signal features to provide richer multidimensional data. …”
Get full text

Comparability assessment of the results of thiomersal quantification in adsorbed immunobiological medicinal products by colourimetry and by cold vapor atomic absorption spectrometr... by O. N. Kolesnikova, V. E. Tregubova, O. B. Ustinnikova, A. A. Movsesyants

“…The trueness of the method is satisfactory, as the percent recovery differs from the total spiked amount by less than 10%. …”
Get full text

Accuracy and Repeatability of Rolling Stock Current Distortion Tests for Interference to Signalling by Jacopo Bongiorno, Sahil Bhagat

“…The spectral behavior of acquired signals and the evaluation of repeatability are instead discussed with the help of three different real test cases, considering correspondence between similar operating points and differences as rolling stock operation evolves during a test run. …”
Get full text

Underwater Image Enhancement Based on Transformer, Attention, and Multi-Color-Space Inputs by Liqiong Lu, Dong Wu, Liuyin Wang, Wanzhen Zhang, Tonglai Liu

“…Underwater images suffer from color distortion, low contrast and blurring caused by the attenuation, refraction, and scattering of light. For many maritime operations, underwater image enhancement is essential. …”
Get full text