Objective: This study aimed to adapt the Reinforcement Sensitivity Theory of Personality Questionnaire (RST PQ) Turkish language and measure its factor structure psychometric properties. Method: In total, 418 volunteers (301 women) participated in study. Participants were undergraduate students at Adnan Menderes University, Aydin, Turkey, aged between 18 26 years (M=21.53). They completed versi...

Robust self-training (RST) can augment the adversarial robustness of image classification models without significantly sacrificing models' generalizability. However, RST and other state-of-the-art defense approaches failed to preserve generalizability reproduce their good on small medical sets. In this work, we propose Multi-instance with a drop-max layer, namely MIRST-DM, which involves sequen...

Sentiment analysis is an important part of natural language processing (NLP). This study evaluated the sentiment Romanized Sindhi Text (RST) using a hybrid approach and ground truth values. The methodology involves three major steps: input data, process on tool, data evaluation results. One hundred RST sentences were used in this study's analysis, which can be positive, neutral, or negative. st...

is paper examines the nature of rst-mover advantages in the deployment of spatially differentiated surface transport networks. A number of factors explaining the existence of rst-mover advantages have been identi ed in the literature; however, the questions of whether these factors exist in spatial networks, and of how they play out with true capital immobility have remained unanswered. By exam...

The eagle expresses of cloud computing plays a pivotal role in the development technology. aim is to solve such way that it will provide an optimized solution. key allocating these efficient resources and making algorithms for its time cost optimization. approach research based on rough set theory RST. RST great method large difference qualitative analysis situations. It's technique find knowle...