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3 μM) and agonistic activity for A1R. We also found that rosmarinic acid significantly decreased sleep fragmentation and onset latency to NREM sleep, and these effects were abolished by DPCPX. The results from c-Fos immunostaining showed that rosmarinic acid decreased the neuronal activity in wake-promoting brain regions, such as the basal forebrain and the lateral hypothalamus, while increasing the neuronal activity in the ventrolateral preoptic nucleus, a sleep-promoting region; all these effects were significantly inhibited by DPCPX. Taken together, this study suggests that rosmarinic acid possesses novel activity as an A1R agonist and thereby exerts a hypnotic effect, and thus it may serve as a potential therapeutic agent for insomnia through targeting A1R.

To date, there has been scant research on patient input regarding the desirable characteristics of healthcare facilities. This study uses the nominal group technique (NGT) to develop a discrete choice experiment (DCE) aimed at identifying and prioritizing, from the patient's perspective, essential characteristics for choosing public health facilities in Cape Town, South Africa.

Four focus group discussions were conducted, including a total of 21 patients or their parents/companion at Bothasig and Goodwood community day centers (which offer primary care within substructure) in Cape Town. The group discussions followed the steps of NGT guidelines. At each facility, the frequency of an attribute being within the top 5 was determined, a weighted ranking was calibrated, and a subgroup analysis was performed.

The 6 most important attributes in choosing a facility were "treatment by a doctor/(family physician)" (66.7%), "distance to the community day center" (61.7%), "availability of medication" (61.7%), "confidentiality during treatment" (57.7%), and "waiting time" and "treatment by a nurse." The weighted results showed that distance was the most important, followed by treatment by the doctors, treatment confidentiality, availability of medication, and waiting time and treatment by a nurse.

This study confirms the feasibility and value of the NGT in identifying and prioritizing the attributes for a DCE. The NGT can be used to elicit patient preferences and, when used together with a DCE, can enhance information quality and quantity for decision making in tandem with patient satisfaction and experiences.

This study confirms the feasibility and value of the NGT in identifying and prioritizing the attributes for a DCE. The NGT can be used to elicit patient preferences and, when used together with a DCE, can enhance information quality and quantity for decision making in tandem with patient satisfaction and experiences.The Aha! moment- the sudden insight sometimes reached when solving a vexing problem- entails a different problem-solving experience than solution retrieval reached by an analytical, multistep strategy (i.e., non-insight). To date, the (un)conscious nature of insight remains debated. We addressed this by studying insight under cognitive load. If insight and non-insight problem solving rely on conscious, effortful processes, they should both be influenced by a concurrent cognitive load. find more However, if unconscious processes characterize insight, cognitive load might not affect it at all. Using a dual-task paradigm, young, healthy adults (N = 106) solved 70 word puzzles under different cognitive loads. We confirmed that insight solutions were more often correct and received higher solution confidence. Importantly, as cognitive load increased, non-insight solutions became less frequent and required more solution time, whereas insightful ones remained mostly unaffected. This implies that insight problem solving did not compete for limited cognitive resources.The human cataract, a developing opacification of the human eye lens, currently constitutes the world's most frequent cause for blindness. As a result, cataract surgery has become the most frequently performed ophthalmic surgery in the world. By removing the human lens and replacing it with an artificial intraocular lens (IOL), the optical system of the eye is restored. In order to receive a good refractive result, the IOL specifications, especially the refractive power, have to be determined precisely prior to surgery. In the last years, there has been a body of work to perform this prediction by using biometric information extracted from OCT imaging data, recently also by machine learning (ML) methods. Approaches so far consider only biometric information or physical modelling, but provide no effective combination, while often also neglecting IOL geometry. Additionally, ML on small data sets without sufficient domain coverage can be challenging. To solve these issues, we propose OpticNet, a novel optical refraction network based on an unsupervised, domain-specific loss function that explicitly incorporates physical information into the network. By providing a precise and differentiable light propagation eye model, physical gradients following the eye optics are backpropagated into the network. We further propose a new transfer learning procedure, which allows the unsupervised pre-training on the optical model and fine-tuning of the network on small amounts of surgical patient data. We show that our method outperforms the current state of the art on five OCT-image based data sets, provides better domain coverage within its predictions, and achieves better physical consistency.

Accurate calculation of the proton beam range inside a patient is an important topic in proton therapy. In recent times, a computed tomography (CT) image reconstruction algorithm was developed for treatment planning to reduce the impact of the variation of the CT number with changes in imaging conditions. In this study, we investigated the usefulness of this new reconstruction algorithm (DirectDensity™ DD) in proton therapy based on its comparison with filtered back projection (FBP).

We evaluated the effects of variations in the X-ray tube potential and target size on the FBP- and DD-image values and investigated the usefulness of the DD algorithm based on the range variations and dosimetric quantity variations.

For X-ray tube potential variations, the range variation in the case of FBP was up to 12.5mm (20.8%), whereas that of DD was up to 3.3mm (5.6%). Meanwhile, for target size variations, the range variation in the case of FBP was up to 2.2mm (2.5%), whereas that of DD was up to 0.9mm (1.4%). Moreover, the variations observed in the case of DD were smaller than those of FBP for all dosimetric quantities.

The dose distributions obtained using DD were more robust against variations in the CT imaging conditions (X-ray tube potential and target size) than those obtained using FBP, and the range variations were often less than the dose calculation grid (2mm). Therefore, the DD algorithm is effective in a robust workflow and reduces uncertainty in range calculations.

The dose distributions obtained using DD were more robust against variations in the CT imaging conditions (X-ray tube potential and target size) than those obtained using FBP, and the range variations were often less than the dose calculation grid (2 mm). Therefore, the DD algorithm is effective in a robust workflow and reduces uncertainty in range calculations.

The aim of this study was to assess patients on the waiting list for liver transplant (LTx) according to bioelectrical impedance vector analysis (BIVA), as well as to verify the association between the placement of the vectors on the graph with clinical outcomes and identify the predictors to vector placement in quadrant 4 (Q4; indicating more hydration and less cellularity).

This was a retrospective observational study including 129 patients ≥20 y of age awaiting LTx. Patients' nutritional status was assessed by using different tools, including single-frequency bioelectrical impedance analysis and the Subjective Global Assessment (SGA). Clinical data were registered. The BIVA was evaluated by comparing the individual vectors plotted for all patients to the tolerance ellipses of 50%, 75%, and 95% of the reference healthy population. The quadrant of the vector for each patient was registered.

The majority of the vectors were placed in Q1 (n=54; 41.9%) and Q4 (n=39; 30.2%). The presence of ascites or edema (hazard ratio [HR], 2.43; 95% confidence interval [CI], 1.15-5.12; P=0.019) and the BIVA vector placed in Q4 in any ellipse (HR, 2.10; 95% CI, 1.07-4.09; P=0.029) were independent predictors for mortality on the waiting list or ≤1 y after LTx. BIVA was not associated with longer hospital length of stay. The predictors of vector placement in Q4 were higher age, malnutrition according to SGA, and presence of ascites or edema.

Patients on the waiting list for LTx with BIVA vectors placed in Q4, in the 50%, 75%, or 95% tolerance ellipses, presented a worse prognosis.

Patients on the waiting list for LTx with BIVA vectors placed in Q4, in the 50%, 75%, or 95% tolerance ellipses, presented a worse prognosis.

The effects of chronotype on dietary intake and weight gain during pregnancy have not been addressed in the literature. The aim of this study was to analyze the effect of chronotype on eating patterns, energy, and macronutrient intake and distribution, as well as weight gain during pregnancy.

This was a prospective cohort study carried out with 100 pregnant women in the first, second, and third gestational trimesters. Dietary intake was assessed by three 24-h dietary recalls in each trimester, totaling nine recalls. Energy and macronutrient intake and distribution were evaluated at meals throughout the day. Chronotype was derived from midsleep time on free days, and the scores obtained were categorized into tertiles. Recommendations from the Institute of Medicine were used to assess the adequacy of weight gain. Generalized estimating equation models were used to determine the effects of chronotype and gestational trimester on eating patterns, daily energy, macronutrient distribution, and weight gain.

Prr in the day and exhibit greater consumption of energy and carbohydrates in the evening, as well as a worse standard of gestational weight gain in the third trimester. Our results emphasize the importance of considering chrononutrition variables in prenatal nutritional guidelines to promote maternal and fetal health.

Lesch-Nyhan disease (LND) is a disease of purine metabolism linked to chromosome X due to the absence or near-absence of enzyme hypoxanthine-guanine phosphoribosyltransferase. Patients with LND have a compulsive autoaggressive behavior that consists of self-mutilation by biting.

The objective of this study was to explore the safety and efficacy of botulinum toxin (BoNT) injected into the masticatory muscles and biceps brachii to reduce self-mutilation in patients with LND. We retrospectively analyzed six patients with LND who were treated with BoNT to prevent automutilatory behavior.

The patient ages when started on treatment with BoNT were 4, 4.5, 6.6, 7.9, 13.9, and 32.3years. Patients received a mean number of injections of 20, ranging from 3 to 29, over a period that ranged from 1.5 to 7.1years. The maximum total dose of Botox was 21.3 units/kg mean and the maximum total dose of Dysport was 37.5 units/kg mean. A total of 119 injections were performed. Of these 113 (95%) were partially or completely effective.