How do patients' perceptions and doctors' images impact patient decisions? Deconstructing online physician selection using multimodal data.

In the post-pandemic era, medical resources are uneven, and access to healthcare is complicated. Online medical platforms have become a solution to bridge the information gap and reduce hospital pressure. This study uses the stereotype content model and signaling theory to explore the impact of patient perception of patient decision making (PDM) on online medical service platforms. Also, it tests the moderating effect of physician image. We collected information on 12,890 physicians and 746,981 patient reviews from online medical platforms in China. Unsupervised machine learning was used to construct a topic model to extract patients' perceptions of physicians' competence and warmth. Meanwhile, the facial features of physicians, such as age, smile, and glasses, are recognized by convolutional neural networks. Finally, the influence of PDM concern on decision-making and the moderating effect of physician image were analyzed by multiple linear regression. The results of the study showed that (1) patients' perceptions of physicians' competence and warmth had a positive effect on decision-making; (2) physicians' age and wearing glasses enhanced the positive effect of perception on decision-making; and (3) however, physicians' smiles weakened the positive effect of perception on decision-making. This study provides new insights into patients' online physician selection, guides the construction and promotion of medical service platforms, and provides an effective avenue of exploration to alleviate the problem of uneven distribution of offline medical resources.

Accessing 3,4-Dihydroquinolinone from N-Arylacrylamides via Tetralone-Mediated Energy Transfer and 1,3-Hydrogen Shift.

Herein, we introduce a tetralone-mediated photocyclization method of N-arylacrylamides. The protocol proceeds smoothly to deliver a diverse set of 3,4-dihydroquinolinones in moderate to good yields with excellent functional group compatibility and readily allows for late-stage modifications of a number of complex drug molecules. Mechanistic studies reveal that the present systems with ultraviolet light irradiation enable the cyclization via energy transfer and exclusive 1,3-hydrogen shift.

A short-term price prediction-based trading strategy.

Quantitative investment theory has emerged as a prominent and widely researched domain within the financial markets, where investors predominantly focus on discerning the intricate influences of market dynamics. In this paper, we proposed a short-term prediction-based trading strategy, which can equiponderate between return and risk, considerations while accounting for investor risk preferences. This strategy employs GM(1,1) to capture nuanced features of price dynamics in short-term intervals and update the GM(1,1) model with the latest data. Subsequently, a multi-objective planning equation is formulated to optimize asset allocations by determining the optimal holding that strikes between specific returns and risk mitigation. In the end, this work conducts a case study and sensitivity analysis using five years of gold and bitcoin price data spanning from 2016 to 2021. This empirical examination serves to affirm the efficacy and resilience of the proposed trading strategy. The case study reveals that proficient short-term price forecasting serves as a potent means to proactively mitigate risk, facilitating, judicious and objective trading practices. Moreover, it underscores the strategy's tangible utility as a guide for real-world investment decisions.

Catalyst- and additive-free cascade radical addition/cyclization of N-arylacrylamides with trifluoropyruvates.

Herein, we introduce a photocatalyst- and additive-free method for the preparation of valuable 3,3-disubstituted oxindoles bearing trifluoromethyl alcohol moieties from readily available acrylamides and cheap trifluoropyruvates. The excited trifluoropyruvates under ultraviolet-light irradiation react efficiently with acrylamides delivering a variety of trifluoromethyl oxindoles with broad functional group tolerance and moderate to good yields. This protocol features mild reaction conditions, simple operation and ready scalability.