Scoliosis is a condition defined by an abnormal spinal curvature. For diagnosis and treatment planning of scoliosis, spinal curvature can be estimated using Cobb angles.
Bortsova, Gerda +7 more
core +1 more source
Comparison of otolith readability and reproducibility of counts of translucent zones using different otolith preparation methods for four endemic Labeobarbus species in Lake Tana, Ethiopia [PDF]
The analysis of fish age data is vital for the successful conservation of fish. Attempts to develop optimal management strategies for effective conservation of the endemic Labeobarbus species are strongly affected by the lack of accurate age estimates ...
Anteneh, Wassie +6 more
core +2 more sources
Mouse pre‐implantation development involves a transition from totipotency to pluripotency. Integrating transcriptomics, epigenetic profiling, low‐input proteomics and functional assays, we show that eight‐cell embryos retain residual totipotency features, whereas cytoskeletal remodeling regulated by the ubiquitin‐proteasome system drives progression ...
Wanqiong Li +8 more
wiley +1 more source
Time Series Forecasting of Price of Agricultural Products Using Hybrid Methods
Accurate prediction of crop prices assists farmers to decide the best time to sell their produce so as to get maximum benefit and assists Government for post-harvest storage and management of the produce so as to stabilize the price volatility throughout
Sourav Kumar Purohit +3 more
doaj +1 more source
Earthquake magnitude prediction based on radon cloud data near Grindulu fault, Indonesia using the statistical method [PDF]
Earthquake prediction is one of the most challenging and vital tasks that demands new methodologies for improving the accuracy of predictions. The research aims to present how radon gas concentration fluctuations are associated with the prediction of ...
Ananto, Nugroho +6 more
core +2 more sources
Multireference Correlation in Long Molecules with the Quadratic Scaling Density Matrix Renormalization Group [PDF]
We have devised and implemented a local ab initio Density Matrix Renormalization Group (DMRG) algorithm to describe multireference nondynamic correlations in large systems.
Garnet Kin-Lic Chan +3 more
core +2 more sources
A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice +2 more
wiley +1 more source
Accurate short-term prediction of residential power consumption is imperative for efficient energy system management. However, the complexity of high-resolution load data, nonlinear dynamics of load fluctuation, and external factor interactions pose ...
Yitao Zhao +3 more
doaj +1 more source
Lightweight Generative Network for Image Inpainting Using Feature Contrast Enhancement
With the help of the convolutional neural network (CNN) and generative adversarial network (GAN), image inpainting has achieved remarkable advances in performance.
Qihui Han, Jie Liu, Cheolkon Jung
doaj +1 more source
Asymmetric switch costs in numeral naming and number word reading: Implications for models of bilingual language production [PDF]
One approach used to gain insight into the processes underlying bilingual language comprehension and production examines the costs that arise from switching languages.
Peressotti, Francesca +2 more
core +6 more sources

