Multiple solutions of the quasirelativistic Choquard equation

We prove existence of multiple solutions to the quasirelativistic Choquard equation with a scalar potential

Validity of the GAITRite Walkway Compared to Functional Balance Tests for Fall Risk Assessment in Geriatric Outpatients

This study examined the concurrent validity between gait parameters from the GAITRite walkway and functional balance test commonly used in fall risk assessment. Patients were sampled from one geriatric outpatient clinic. One physiotherapist evaluated the patients on the GAITRite walkway with three repetitions in both single- and dual-task conditions. Patients were further evaluated with Bergs Balance scale (BBS), Dynamic Gait index (DGI), Timed Up and Go (TUG), and Sit To Stand test (STS). Correlations between quantitative gait parameters and functional balance test were analyzed with Spearman’s rank correlations. Correlations strength was considered as follows: negligible <0.1, weak 0.10–0.39, moderate 0.40–0.69, and strong ≥0.70. We included 24 geriatric outpatients in the study with a mean age of 80.6 years (SD: 5.9). Patients received eight (SD: 4.5) different medications on average, and seven (29.2%) patients used walkers during ambulation. Correlations between quantitative gait parameters and functional balance test ranged from weak to moderate in both single- and dual-task conditions. Moderate correlations were observed for DGI, TUG, and BBS, while STS showed weak correlations with all GAITRite parameters. For outpatients analyzed on the GAITRite while using walkers, correlations showed no clear pattern across parameters with large variation within balance tests

Fault Detection and Diagnosis Encyclopedia for Building Systems:A Systematic Review

This review aims to provide an up-to-date, comprehensive, and systematic summary of fault detection and diagnosis (FDD) in building systems. The latter was performed through a defined systematic methodology with the final selection of 221 studies. This review provides insights into four topics: (1) glossary framework of the FDD processes; (2) a classification scheme using energy system terminologies as the starting point; (3) the data, code, and performance evaluation metrics used in the reviewed literature; and (4) future research outlooks. FDD is a known and well-developed field in the aerospace, energy, and automotive sector. Nevertheless, this study found that FDD for building systems is still at an early stage worldwide. This was evident through the ongoing development of algorithms for detecting and diagnosing faults in building systems and the inconsistent use of the terminologies and definitions. In addition, there was an apparent lack of data statements in the reviewed articles, which compromised the reproducibility, and thus the practical development in this field. Furthermore, as data drove the research activity, the found dataset repositories and open code are also presented in this review. Finally, all data and documentation presented in this review are open and available in a GitHub repository

Primiparous women differ from multiparous women after early discharge regarding breastfeeding, anxiety, and insecurity:A prospective cohort study

INTRODUCTION: Breastfeeding and factors influencing breastfeeding are essential when considering the association between parity and neonatal and maternal morbidity risks when mothers are discharged within 24 hours after birth. However, there is a lack of studies examining the effect of parity and breastfeeding in a setting where all healthy mothers are recommended discharge four hours after birth. Therefore, this study examined the association between parity and the time for discharge, breastfeeding, and factors influencing breastfeeding. METHODS: The study was designed as a prospective cohort study. Data were obtained from questionnaires at one and at six weeks after birth, and combined with registered data. All 147 included mothers were healthy, with an uncomplicated birth and a healthy newborn, discharged within 24 hours after birth. RESULTS: This study documented that primiparous women had a higher relative risk (RR=2.62; 95% CI: 1.35–5.10) of having doubts about infant feeding after discharge than multiparous women. Furthermore, 54% of primiparous women contacted the maternity ward after discharge compared to 27% of multiparous women. Twice as many primiparous than multiparous women felt anxious or depressed at one and at six weeks after birth. Finally, the study documented that 13% of primiparous women and 5% of multiparous women discharged within six hours after birth perceived the time before discharge to be too short. CONCLUSIONS: Primiparous women differ from multiparous women regarding breastfeeding, insecurity, and anxiety. Special attention towards primiparous women and a follow-up strategy that allows the mothers to contact the maternity ward after early discharge is recommended

Prediction of postoperative atrial fibrillation with postoperative epicardial electrograms

Objectives. New-onset postoperative atrial fibrillation (POAF) is a common complication after cardiac surgery. The arrhythmia often entails a longer hospital stay, greater risk of other complications, and higher mortality both short- and long-term. An investigation of the use of early atrial electrograms in predicting POAF in cardiac surgery was performed. Design. In this prospective observational study, a total of 99 consecutive adult patients undergoing coronary artery bypass grafting, valve surgery or both were included. On the first postoperative morning, standard 12-lead electrograms (ECG), unipolar atrial electrograms (aEG), and vital values were recorded. The outcome was new-onset POAF within one month postoperatively. Results. Three multivariable prediction models for POAF were formed using measurements derived from the ECG, aEG, and patient characteristics. Age, body mass index, and two unipolar electrogram measurements quantifying local activation time and fractionation were strongly associated with the outcome POAF. The performance of the POAF prediction models was assessed through receiver operating curve characteristics with cross-validation, and discrimination using the leave-one-out-method to internally validate the models. The cross-validated area under the receiver operating characteristic curve (AUC) was improved in a prediction model using atrial-derived electrogram variables (AUC 0.796, 95% CI 0.698-0.894), compared with previous ECG and clinical models (AUC 0.716, 95% CI 0.606-0.826 and AUC 0.718, 95% CI 0.613-0.822, respectively). Conclusions. This study found that easily obtainable measurements from atrial electrograms may be helpful in identifying patients at risk of POAF in cardiac surgery