No abstract

We aimed to develop an artificial intelligence (AI) diagnosis system for uterine smooth muscle tumors (UMTs) by using deep learning. We analyzed the morphological features of UMTs on whole-slide images (233, 108, and 30 digital slides of leiomyosarcomas, leiomyomas, and smooth muscle tumors of uncertain malignant potential stained with hematoxylin and eosin, respectively). Aperio ImageScope software randomly selected ≥10 areas of the total field of view. Pathologists randomly selected a marked region in each section that was no smaller than the total area of 10 high-power fields in which necrotic, vascular, collagenous, and mitotic areas were labeled. We constructed an automatic identification algorithm for cytological atypia and necrosis by using ResNet and constructed an automatic detection algorithm for mitosis by using YOLOv5. A logical evaluation algorithm was then designed to obtain an automatic UMT diagnostic aid that can “study and synthesize” a pathologist’s experience. The precision, recall, and F1 index reached more than 0.920. The detection network could accurately detect the mitoses (0.913 precision, 0.893 recall). For the prediction ability, the AI system had a precision of 0.90. An AI-assisted system for diagnosing UMTs in routine practice scenarios is feasible and can improve the accuracy and efficiency of diagnosis.

No abstract

Streamflow change and its influencing factors are synchronous and correlated in temporal and spatial scales. The aim of this study is to develop a spatio-temporal coupling analysis framework for quantifying streamflow change and its influencing factors was established. Specifically, the Mann–Kendall test, Pettitt's test, hierarchical cluster analysis, and Ripley's L-function were jointly used to study the spatial heterogeneity of the temporal evolution of streamflow; and the Soil and Water Assessment Tool (SWAT) model was employed to quantify the impacts of climate and human activities on streamflow change. The preliminary application in the Dawen River Basin (China) case has shown that (1) the natural streamflow change in the basin during 1953–2013 is mainly affected by climate change–human activities, followed by climate change and human activities, accounting for a total area of 52.04, 24.90, and 23.06%, respectively; and (2) the vast majority of sub-basins with relatively large natural streamflow change are mainly driven by climate change (i.e., precipitation). In general, the proposed framework can effectively reflect the spatio-temporal patterns of streamflow change and its influencing factors, which can provide a theoretical basis for water resources management in the context of global change.

Purpose -The purpose of this paper is to investigate the corrosion resistance and the electrodeposition behavior of electrodeposited nickel-cobalt-iron alloys. Also, to compare the electrodeposition of ternary nickel-cobalt-iron alloy from acidic sulfate bath onto a steel substrate with the characteristics of Co-Fe electrodeposits. Design/methodology/approach -The investigation of electrodeposition was carried out using cyclic voltammetry and galvanostatic techniques, while potentiodynamic polarization resistance and anodic linear sweep voltammetry techniques were used for corrosion study. The phase structure was characterized by means of X-ray diffraction analysis. The surface morphology and chemical composition of the deposits were examined by using scanning electron microscopy and atomic absorption spectroscopy, respectively. Findings -The obtained results revealed that the Ni-Co-Fe alloys consisted of a mixture of iron (Fe10.8Ni) and (FeCo) phases. It was found that the obtained Ni-Co-Fe alloy exhibited a more-preferred surface appearance and better corrosion resistance, compared to the Co-Fe alloy that was electrodeposited under similar conditions. Practical implications -Ni-Co-Fe alloy was successfully electroplated from a sulfate bath. This alloy showed better anticorrosion properties compared to Co-Fe deposits. The Ni-Co-Fe alloy could be used advantageously in industry, e.g. the automotive industry. The coating also has particular interest due to it is ability to exhibit stable magnetic properties. Originality/value -The paper evaluates the effect of electrodeposition of the ternary alloy on the corrosion behavior of electroplated steel. To date, there has been little research on this issue. It was found that the presence of Ni could increase the corrosion resistance of steel.