Digital Twin: A Step Towards Smart Cities in Urban Planning, Design and Management by Farshad Shariatpour, Mostafa Behzadfar

“…To achieve this, procedural modelling algorithms have been used in the CityEngine software environment. …”
Get full text

THE AUGMENTED REALITY FUNCTIONS TO SUPPORT THE STEAM EDUCATION AT GENERAL EDUCATION INSTITUTIONS by Наталія Сороко

“…Teachers were interviewed about their attitudes and understanding of AR to support STEAM education and to identify the main augmented reality functions in conducting STEAM projects in schools. …”
Get full text

Competence model scheming of the graduate as an assessment tool for the quality of education by E. N. Shaforostova, A. A. Valova

“…At the present time of the society development, the task of process improvement of the quality of education is especially actual and the main tool of its decision is introduction in educational process of new federal educational standards. …”
Get full text

Constrained Bayesian Optimization: A Review by Sasan Amini, Inneke Vannieuwenhuyse, Alejandro Morales-Hernandez

“…This paper reviews the current literature on single-objective constrained Bayesian optimization, classifying it according to three main algorithmic aspects: (i) the metamodel, (ii) the acquisition function, and (iii) the identification procedure. …”
Get full text

Abscess of the spleen in typhoid fever: clinical and morphological interpretation of the complication by A. N. Kovalenko, V. V. Kolkutin, A. V. Kovalev, V. A. Zinserling, A. A. Murachev

“…Clinical and pathomorphological observation of cases of this complication are few and mainly relate to the regions with the epidemic spread of typhoid fever. …”
Get full text

Elevated plasma angiotensin converting enzyme 2 activity is an independent predictor of major adverse cardiac events in patients with obstructive coronary artery disease. by Jay Ramchand, Sheila K Patel, Piyush M Srivastava, Omar Farouque, Louise M Burrell

Get full text

Adverse events in the neonatal intensive care unit identified by triggers by Fabiana Bragança Albanese, Deise de Souza Ventura, Deise de Souza Ventura, Maurício Wesley Perroud, Maurício Wesley Perroud, Rafael Nogueira de Souza, Mariana Vieira Morau, Marília Berlofa Visacri, Marília Berlofa Visacri, Patricia Moriel, Patricia Moriel

“…ObjectiveThe main aim of this study was to identify adverse events (AEs) in neonates admitted to a Neonatal Intensive Care Unit (NICU) using a trigger-based approach.MethodsA retrospective observational study was conducted at Hospital Estadual Sumaré -Dr. …”
Get full text

Proteomic analysis of the response of Trichinella spiralis muscle larvae to exogenous nitric oxide. by Xiaoli Wang, Liang Li, Xing Wei, Yuanyuan Wang, Hui Zhang, Ao Shi, Tao Liu, Xiaodi Yang, Qiang Fang

Get full text

Insulin resistance quantified by estimated glucose disposal rate predicts cardiovascular disease incidence: a nationwide prospective cohort study by Shiyi Tao, Lintong Yu, Jun Li, Ji Wu, Xuanchun Huang, Zicong Xie, Tiantian Xue, Yonghao Li, Lilan Su

“…Subgroup analysis revealed that the trend in incident CVD risk were broadly consistent with the main results across subgroups. Conclusion A lower level of eGDR was found to be associated with increased risk of incident CVD, suggesting that eGDR may serve as a promising and preferable predictor for CVD. …”
Get full text

Early Forest Fire Detection With UAV Image Fusion: A Novel Deep Learning Method Using Visible and Infrared Sensors by Kunlong Niu, Chongyang Wang, Jianhui Xu, Jianrong Liang, Xia Zhou, Kaixiang Wen, Minjian Lu, Chuanxun Yang

“…Therefore, this research proposes a novel method to early forest fire detection by fusing visible and infrared images and creating a dataset. The main contributions include: 1) the creation of a dataset containing 2752 synchronized visible and infrared image pairs to overcome existing dataset limitations; 2) the application of deep learning techniques to enhance image registration and fusion, incorporating an improved algorithm that increases automation; and 3) the development of the Forest Fire Detection Model—Fusion (FFDM-F) model, based on YOLOv5s and fused images, designed to accurately detect small fires at their early stages. …”
Get full text

An Unsupervised Machine Learning Approach to Identify Spectral Energy Distribution Outliers: Application to the S-PLUS DR4 Data by F. Quispe-Huaynasi, F. Roig, N. Holanda, V. Loaiza-Tacuri, Romualdo Eleutério, C. B. Pereira, S. Daflon, V. M. Placco, R. Lopes de Oliveira, F. Sestito, P. K. Humire, M. Borges Fernandes, A. Kanaan, C. Mendes de Oliveira, T. Ribeiro, W. Schoenell

“…Then, we apply the t-distributed Stochastic Neighbor Embedding (t-SNE) algorithm to the 66 color measurements from S-PLUS, complemented by information from the SIMBAD database, to identify stellar populations. …”
Get full text

Transcriptome sequencing reveals novel Citrus bark cracking viroid (CBCVd) variants from citrus and their molecular characterization. by Yafei Wang, Sagheer Atta, Xuefeng Wang, Fangyun Yang, Changyong Zhou, Mengji Cao

Get full text

Spatial and temporal distribution patterns and factors influencing hepatitis B in China: a geo-epidemiological study by Kang Fang, Na Cheng, Chuang Nie, Wentao Song, Yunkang Zhao, Jie Pan, Qi Yin, Jiwei Zheng, Qinglin Chen, Tianxin Xiang

“…The northwest and southwest regions are the main hotspots, but there is a tendency to spread to southern China. …”
Get full text

Reemergence of human plague in Yunnan, China in 2016. by Liyuan Shi, Guirong Yang, Zhikai Zhang, Lianxu Xia, Ying Liang, Hongli Tan, Jinrong He, Jianguo Xu, Zhizhong Song, Wei Li, Peng Wang

Get full text

Effect of Faricimab versus Aflibercept on Hyperreflective Foci in Patients with Diabetic Macular Edema from the YOSEMITE/RHINE Trials by Usha Chakravarthy, FRCOphth, PhD, Varun Chaudhary, MD, FRCS(C), Srinivas R. Sadda, MD, Colin S. Tan, FRCOphth, FRCSEd (Ophth), Stela Vujosevic, MD, PhD, Sascha Fauser, MD, Kara Gibson, PhD, Carl Glittenberg, MD, Nancy Holekamp, MD, FASRS, Ben Lanza, PhD, Andreas Maunz, PhD, Jeffrey R. Willis, MD, PhD, Rishi P. Singh, MD

“…Methods: A deep learning–based algorithm was used to automatically quantify HRF in spectral-domain OCT volume scans from YOSEMITE/RHINE. …”
Get full text

A combination of urinary biomarker panel and PancRISK score for earlier detection of pancreatic cancer: A case-control study. by Silvana Debernardi, Harrison O'Brien, Asma S Algahmdi, Nuria Malats, Grant D Stewart, Marija Plješa-Ercegovac, Eithne Costello, William Greenhalf, Amina Saad, Rhiannon Roberts, Alexander Ney, Stephen P Pereira, Hemant M Kocher, Stephen Duffy, Oleg Blyuss, Tatjana Crnogorac-Jurcevic

“…Here, we aimed to establish the accuracy of an improved panel, including REG1B instead of REG1A, and an algorithm for data interpretation, the PancRISK score, in additional retrospectively collected urine specimens. …”
Get full text

Bile acids in follicular fluid: potential new therapeutic targets and predictive markers for women with diminished ovarian reserve by Shu Ding, Wenyan Li, Xianglei Xiong, Manfei Si, Chuyu Yun, Yuqian Wang, Lixuan Huang, Sen Yan, Xiumei Zhen, Jie Qiao, Xinyu Qi

“…Then, we constructed a diagnostic model for DOR using the random forest algorithm based on five different BAs. Additionally, we performed a functional enrichment analysis on differentially expressed genes (DEGs) in GCs from both DOR and NOR patients. …”
Get full text

Longitudinal Assessment of Area of Reticular Pseudodrusen in Eyes with Age-Related Macular Degeneration by Swetha Bindu Velaga, MS, Ahmed Roshdy Alagorie, MD, Muneeswar Gupta Nittala, MPhil, Noel C. Moore, PhD, Yeunjoo E. Song, PhD, Jonathan Haines, PhD, Margaret A. Pericak-Vance, PhD, Dwight Stambolian, MD, Zhihong Hu, PhD, Ye He, MD, PhD, Srinivas R. Sadda, MD

“…Choroidal thickness was measured for both baseline and month 24 using a previously described deep learning algorithm to compute a choroidal volume. Main Outcome Measures: Changes in RPD area (mm2) and mean volumetric choroidal thickness (μm) between baseline and 2 years. …”
Get full text

Current data on the circulation of the Q fever pathogen in the Republic of Guinea by Ekaterina V. Naidenova, Kirill S. Zakharov, Dmitry A. Agafonov, Mikhail Yu. Kartashov, Aislu M. Senichkina, Erik S. Khalilov, Abdoul B. Ibrahim, Mamadou B. Bah, Ibrahim Nourdine, Nikolai K. Tokarevich, Sanaba Boumbaly, Yusuf Sidime, Svetlana A. Shcherbakova, Vladimir V. Kutyrev

“…It has been shown that the main vectors in Guinea are ixodid ticks of the Amblyomma variegatum, Hyalomma truncatum and Rhipicephalus decoloratus species. …”
Get full text

Disturbance types play a key role in post-disturbance vegetation recovery in boreal forests of Northeast China by Yue Yu, Zhihua Liu, Wenjuan Wang, Wenru Xu, Qiushuang Lv, Kaili Li, Wenhua Guo, Lei Fang, Qinglong Zhang, Zhiwei Wu, Bo Liu

“…The inclusion of disturbance type into influential variables, and then to identify and rank the main drivers for vegetation recovery deserves further attention. …”
Get full text