Objective To evaluate psychometric performance of the NCCN-FACT Ovarian Cancer Symptom Index-18 (NFOSI-18) in advanced ovarian cancer. Methods Cross-sectional, observational data from patients receiving treatment for ovarian cancer. Other measures included European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire core (EORTC QLQ-C30) and associated ovarian cancer module (EORTC QLQ-OV28) and Work Productivity and Activity Impairment. Internal consistency reliability, construct validity and anchor-based clinically important differences were assessed. Results 897 patients were analyzed. Reliability was acceptable for all NFOSI-18 scores; construct validity was supported. Twelve anchors sufficiently correlated with NFOSI-18 scores and suggested clinically important differences NFOSI-18 total score (5-7), disease-related symptoms - physical (3-4), disease-related symptoms - emotional (1), treatment side effects (2) and functional well-being (1-2). Conclusions Results provide evidence of reliability and validity of NFOSI-18 scores. Generated CIDs will help improve interpretation of between-group treatment differences in clinical trials.Aim Many economic evaluations used linear or log-transformed additive methods to estimate the disutility of hypoglycemic events in diabetes, both nonsevere (NSHEs) and severe (SHEs). Methods We conducted a literature search for studies of disutility for hypoglycemia. We used additive, minimum and multiplicative methods, and the adjusted decrement estimator to estimate the disutilities of joint health states with both NSHEs and SHEs in six scenarios. Results Twenty-four studies reported disutilities for hypoglycemia in diabetes. Based on construct validity, the adjusted decrement estimator method likely provides less biased estimates, predicting that when SHEs occur, the additional impact from NSHEs is marginal. TGFbeta inhibitor Conclusion Our proposed new method provides a different perspective on the estimation of quality-adjusted life-years in economic evaluations of hypoglycemic treatments.Background Temporalis tendon transfer (TTT) often relies on external incisions in the nasolabial fold, temporal region, or both. Herein, we studied smile outcomes of a TTT technique via a single intraoral incision without external skin incisions. Objective To measure the difference in static perioral positions before and after intraoral TTT. Methods Five patients underwent an externally scarless TTT technique via an intraoral approach. Iris measurements were used to estimate pixel-to-millimeter conversion for facial analysis of vertical and horizontal oral commissure excursion vectors using the JAVA-based program Facegram version 1.0 (Massachusetts Eye & Ear Infirmary). Results After surgery, mean vertical height on the affected side significantly increased from 3.4 mm to a postoperative value of 20.6 mm, p = 0.016. There was no difference in horizontal smile excursion after surgery (35.7 mm vs. 32.2 mm, p = 0.37). Smile angle difference between affected and healthy smile (Δα) reduced from 27.0° preoperative to 3.5°, representing a decrease in facial asymmetry (p = 0.002). Conclusion Intraoral, externally scarless TTT is an effective option for dynamic facial reanimation, obviating external incisions in select patients.The accuracy of the prediction of stock price fluctuations is crucial for investors, and it helps investors manage funds better when formulating trading strategies. Using forecasting tools to get a predicted value that is closer to the actual value from a given financial data set has always been a major goal of financial researchers and a problem. In recent years, people have paid particular attention to stocks, and gradually used various tools to predict stock prices. There is more than one factor that affects financial trends, and people need to consider it from all aspects, so research on stock price fluctuations has also become extremely difficult. This paper mainly studies the impact of leading indicators on the stock market. The framework used in this article is proposed based on long short-term memory (LSTM). In this study, leading indicators that affect stock market volatility are added, and the proposed framework is thus named as a stock tending prediction framework based on LSTM with leading indicators (LSTMLI). This study uses stock markets in the United States and Taiwan, respectively, with historical data, futures, and options as data sets to predict stock prices in these two markets. We measure the predictive performance of LSTMLI relative to other neural network models, and the impact of leading indicators on stock prices is studied. Besides, when using LSTMLI to predict the rise and fall of stock prices in the article, the conventional regression method is not used, but the classification method is used, which can give a qualitative output based on the data set. The experimental results show that the LSTMLI model using the classification method can effectively reduce the prediction error. Also, the data set with leading indicators is better than the prediction results of the single historical data using the LSTMLI model. Oil and natural gas extraction may produce environmental pollution at levels that affect reproductive health of nearby populations. Available studies have primarily focused on unconventional gas drilling and have not accounted for local population changes that can coincide with drilling activity. Our study sought to examine associations between residential proximity to oil and gas drilling and adverse term birth outcomes using a difference-in-differences study design. We created a retrospective population-based term birth cohort in Texas between 1996 and 2009 composed of mother-infant dyads ( n = 2,598,025 ) living < 10 km from an oil or gas site. We implemented a difference-in-differences approach to estimate associations between drilling activities and infant health term birth weight and term small for gestational age (SGA). Using linear and logistic regression, we modeled interactions between births before (unexposed) or during (exposed) drilling activity and residential proximity near (0-1, 1-2, or 2 - 3 km ) or far ( 3 - 10 km ) from an active or future drilling site, adjusting for individual- and neighborhood-level characteristics.