Publications by authors named "S P Abdullaev"
Precise estimation of rock petrophysical parameters are seriously important for the reliable computation of hydrocarbon in place in the underground formations. Therefore, accurately estimation rock saturation exponent is necessary in this regard. In this communication, we aim to develop intelligent data-driven models of decision tree, random forest, ensemble learning, adaptive boosting, support vector machine and multilayer perceptron artificial neural network to predict rock saturation exponent parameter in terms of rock absolute permeability, porosity, resistivity index, true resistivity, and water saturation based on acquired 1041 field data.
View Article and Find Full Text PDFBackground: Patients with microsatellite-instability-high (MSI-H) or mismatch-repair-deficient (dMMR) metastatic colorectal cancer have poor outcomes with standard chemotherapy with or without targeted therapies. Nivolumab plus ipilimumab has shown clinical benefit in nonrandomized studies of MSI-H or dMMR metastatic colorectal cancer.
Methods: In this phase 3 open-label trial, we randomly assigned patients with unresectable or metastatic colorectal cancer and MSI-H or dMMR status according to local testing to receive, in a 2:2:1 ratio, nivolumab plus ipilimumab, nivolumab alone, or chemotherapy with or without targeted therapies.
Article Synopsis
- Dust particles carried by westerly winds are a major factor in high-altitude snow darkening and melting over the Tibetan Plateau.
- A new algorithm for tracking airborne dust sources was developed, utilizing satellite data to enhance accuracy in tracing their origins.
- The study reveals that significant dust contributions come from the Karakum, Taklimakan, and Thar deserts, each impacting snowmelt differently based on their geographical location.
Expression of concern for 'Enhanced electrical and magnetic properties of (Co, Yb) co-doped ZnO memristor for neuromorphic computing' by Noureddine Elboughdiri , , 2023, , 35993-36008, https://doi.org/10.1039/D3RA06853F.
View Article and Find Full Text PDFArticle Synopsis
- The text discusses the development of brain-inspired photonics technology derived from low-level characteristics in traditional computing systems, emphasizing the importance of optoelectronic neural devices that mimic biological synapses.
- It highlights the benefits of nanosized materials and device designs, which enhance reliability, speed, and efficiency in processing and computation.
- The paper also reviews advances in optoelectronic synaptic devices made from various nanomaterials and examines the challenges and future potential within this research area.