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The TAT algorithm was also able to simultaneously track temperatures in different tissues. With further development, noninvasive TAI-TAT may prove to be a valuable method for accurate and real-time feedback during breast cancer ablation therapy.In the task of pedestrian trajectory prediction, social interaction could be one of the most complicated factors. Recent studies have shown a great ability of LSTM networks in learning social behaviors from datasets, e.g., introducing LSTM hidden states of the neighbors at the last time step into LSTM recursion. However, those methods depend on previous neighboring features which lead to a delayed observation. In this paper, we propose a data-driven states refinement LSTM network (SR-LSTM) to enable the utilization of the current intention of neighbors through a message passing framework. find more Moreover, the model performs in the form of self-updating by jointly refining the current states of all participants, rather than feature concatenations. In the process of states refinement, a social-aware information selection module consisting of an element-wise motion gate and a pedestrian-wise attention is designed as the guidance of the message passing process. Considering the pedestrian walking space as a graph, spatial-edge LSTMs are exploited to enhance the model capacity, where two kinds of LSTMs interact with each other so that states of them are interactively refined. Experimental results on four widely used pedestrian trajectory datasets, ETH, UCY, PWPD, and NYGC demonstrate the effectiveness of the proposed model.

To examine trends and outcomes related to neoadjuvant chemotherapy (NACT) use for advanced ovarian cancer based on patient and tumor factors.

This retrospective cohort study queried the National Cancer Institute's Surveillance, Epidemiology, and End Results Program to examine women with stage III-IV high-grade serous ovarian carcinoma from 2010 to 2016. Propensity score inverse probability of treatment weighting was used to assess the age-, cancer stage-, and tumor extent-specific survival estimates related to NACT use.

Utilization of NACT has significantly increased in older women (≥65years; 48.4% relative increase), followed by stage IV disease (35.2% relative increase), and stage III disease (25.0% relative increase) (all, P-trend<0.05). Women who received NACT had overall survival (OS) similar to those who had primary cytoreductive surgery (PCS) in older women (hazard ratio [HR] 1.07, 95% confidence interval [CI] 0.95-1.20, P=0.284), stage IV disease (HR 0.96, 95%CI 0.84-1.10, P=0.564), and more ssociated with similar OS compared to PCS.

The Oxford Sleep Resistance Test is an objective vigilance test based on behavior. It is a modified version of the maintenance of wakefulness test and is considered less burdensome and less expensive than the maintenance of wakefulness test. Although professional drivers with obstructive sleep apnea in Europe must be assessed for their ability to maintain adequate wakefulness on a yearly basis, Oxford Sleep Resistance Test results are usually normal in this population. In this retrospective observational study, we searched for predictive factors of abnormal Oxford Sleep Resistance Test sleep latency.

We included 1,071 Oxford Sleep Resistance Test results of patients with obstructive sleep apnea (95% men, aged 21-74 years). Mean sleep latency < 40 minutes was considered abnormal.

Sleep latency was abnormal in 12.0% of tests. Participants at risk for abnormal test results self-reported as being sleepy, depressed, on sick leave, unemployed, or retired or considered themselves unable to work. In a logistic regression model, the self-reported view on work capacity was the most important predictor of abnormal Oxford Sleep Resistance Test sleep latency (odds ratio, 3.5). Ongoing sick leave was also an important predictor for abnormal test results.

A self-reported good ability to work predicts that a patient with sleep apnea can maintain wakefulness in a vigilance test. This may help in reducing the increasing challenge with frequent tests.

A self-reported good ability to work predicts that a patient with sleep apnea can maintain wakefulness in a vigilance test. This may help in reducing the increasing challenge with frequent tests.

This scoping review allows physicians, researchers, and others interested in obstructive sleep apnea to consider effectiveness of oral appliances (OAs). The intent is to improve understanding of OA effectiveness by considering morphologic interaction in patients with obstructive sleep apnea.

Morphologic and biomechanical criteria for positional alterations of the mandible assessed success rates of OA appliances. Searches of databases (Medline, PubMed, The Cochrane Library, EBSCO) using terms OA treatment effectiveness and positive and/or negative outcome predictors. Craniofacial predictors of OAs and obstructive sleep apnea biomechanical factors of anatomical traits associated with OA effectiveness were included. Databases searched radiographic cephalometric imaging for morphology/phenotypes and apnea-hypopnea index responses. Articles were excluded if title or abstract was not relevant or a case report. If the analysis did not report mean or standard deviation for apnea-hypoxia index, it was excluded. No design and application of OAs is needed. Current knowledge is heterogeneous and shows high variability. Identification of subgroups of patients with obstructive sleep apnea responding to OAs is needed.

Depression is prevalent among patients with sleep disorders, and studies show associations between suicidal ideation and insufficient sleep. Using retrospective clinic records, we examined positive depression screening rates among adolescent sleep clinic patients relative to other subspecialty clinic patients. We also examined relationships between sleep diagnoses and positive depression screening rate in adolescent sleep clinic patients.

Data were analyzed from patients ages 12-18 (n = 12,520) who were screened for depression using the Patient Health Questionnaire-2 (PHQ-2). Those who screened positive were administered the PHQ-9. Logistic regression was used to examine effects of age, sex, race, ethnicity, and clinic on likelihood of a positive depression screen. Within sleep clinic patients (n = 308), demographic factors, sleep disorder diagnosis, and body mass index percentile were examined using logistic and linear regression.

Among all patients screened, older age and female sex predicted positive depression screens.