Duffyhobbs1131
outcomes.
The results of the present study demonstrate varied perioperative outpatient nutrition services in this high-risk patient group. The use of nutrition care pathways and protocols was associated with improved patient outcomes.
Rates of cancer survival are increasing, with more people living with and beyond cancer. Lifestyle recommendations for cancer survivors are based largely on extrapolation from cancer prevention recommendations. This feasibility study was designed to investigate diet and physical activity variables linked to primary prevention and digital behaviour change interventions in cancer survivors and delivered by an oncology dietitian to plan for future research.
In this 2-month feasibility study, participants who had completed treatment for colorectal cancer were invited to complete online food diaries, underwent physical activity assessment, attended fortnightly telephone consultations with an oncology dietitian and completed an evaluation form. The baseline food diaries were used to help participants pick two lifestyle changes to focus on throughout the intervention. Demographic and clinical data were analysed using descriptive statistics.
In total, 996 patients were screened for eligibility; of these, 78 were eligible to approach and 69 were approached, resulting in 20 participants consenting to take part. Overall, the intervention was acceptable with 65% of participants completing an online food diary and 70% engaging with the dietitian over the telephone. The intervention received good feedback, with 100% of those completing the evaluation form reporting they felt supported and found it helpful.
The present study offers preliminary evidence that a lifestyle intervention delivered by an oncology dietitian using digital behaviour change interventions (DBCIs) to cancer survivors is feasible and accepted by participants and providers.
The present study offers preliminary evidence that a lifestyle intervention delivered by an oncology dietitian using digital behaviour change interventions (DBCIs) to cancer survivors is feasible and accepted by participants and providers.
To estimate longitudinal pathways from childhood socio-economic position (SEP) to educational attainment and mid-life heavy drinking in black Americans in order to identify potential points of early intervention to reduce risk for alcohol-related problems in adulthood.
Data are from 1299 black Americans in the US National Longitudinal Survey of Youth, followed from 1979 (aged 15-19 years) to 2012. Given gender differences in factors related to education and alcohol outcomes, gender-stratified path models were analyzed.
Youth socio-economic indicators included parental education (approximating childhood SEP) and adolescent poverty duration. Education-related measures included high-poverty school, perceived school safety, academic problems, suspension from school, educational expectations and educational attainment. Adulthood measures included repeated unemployment, poverty duration and mean frequency of heavy drinking (six or more drinks/day) in young adulthood and mid-life. Covariates included age, dualomic and school experiences that lead to lower educational attainment and, ultimately, greater heavy drinking at mid-life. Interventions that mitigate these earlier, adverse experiences might have indirect effects on mid-life heavy drinking.
Low childhood socio-economic position among black Americans appears to be associated with subsequent, adverse socio-economic and school experiences that lead to lower educational attainment and, ultimately, greater heavy drinking at mid-life. Interventions that mitigate these earlier, adverse experiences might have indirect effects on mid-life heavy drinking.
The duration of protection from hepatitis B vaccination in children and adults is not known. In 1981, we used three doses of plasma-derived hepatitis B vaccine to immunize a cohort of 1578 Alaska Native adults and children from 15 Alaska communities who were ≥6 months old.
We tested persons for antibody to hepatitis B surface antigen (anti-HBs) levels 35 years after receiving the primary series. Those with levels <10 mIU/ml received one booster dose of recombinant hepatitis B vaccine 2-4 weeks later and were then evaluated on the basis of anti-HBs measurements 30 days postbooster. Among the 320 recruited, 112 persons had not participated in the 22- or 30-year follow-up study (group 1), and 208 persons had participated but were not given an HBV booster dose (group 2). Among the 112 persons in group 1 who responded to the original primary series, 53 (47.3%) had an anti-HBs level ≥10 mIU/ml. Among group 1, 73.7% (28 of 38) of persons available for a booster dose responded to it with an anti-HBs level ≥10 mIU/ml at 30 days. Initial anti-HBs level after the primary series was correlated with higher anti-HBs levels at 35 years. Among 8 persons who tested positive for antibody to hepatitis B core antigen, none tested positive for HBsAg or HBV DNA.
Based on anti-HBs level ≥10 mIU/ml at 35 years and a 73.7% booster dose response, we estimate that 86% of participants had evidence of protection 35 years later. Booster doses are not needed in the general population at this time.
Based on anti-HBs level ≥10 mIU/ml at 35 years and a 73.7% booster dose response, we estimate that 86% of participants had evidence of protection 35 years later. Booster doses are not needed in the general population at this time.This study includes modeling and simulation of insulin aspart pharmacokinetics (PK). The authors used PK data of biosimilar insulins-insulin aspart and biphasic insulin aspart 30/70-to develop a predictive population PK model for the insulins. The model was built via Monolix software, taking into account the weight-based dosing and the dose and body-weight effects on the parameters. The model-based simulations were performed using the R package mlxR for various administered doses and various ratios of insulin aspart forms for a better understanding of the insulin behavior. The optimal model was a 1-compartment model with a combination of zero- and first-order absorptions, with absorption lag for the soluble form of insulin aspart and first-order absorption for the insulin aspart protamine suspension. The assumption of identical behavior of 2 insulins at the distribution and elimination phases was made. The developed PK model was fitted successfully to the experimental data, and all fitted parameters displayed a moderate coefficient of variation. The PK model allows us to predict PK profiles for various doses and formulations of insulin aspart and can be used to improve the accuracy, safety, and ethics of novel clinical trials of insulin.The development of memristors operating at low switching voltages less then 50 mV can be very useful to avoid signal amplification in many types of circuits, such as those used in bioelectronic applications to interact with neurons and nerves. Here, it is reported that 400 nm-thick films made of dalkyl-dithiophosphoric (DDP) modified copper nanoparticles (CuNPs) exhibit volatile threshold-type resistive switching (RS) at ultralow switching voltage of ≈4 mV. The RS is observed in small nanocells with a lateral size of less then 50 nm-2 , during hundreds of cycles, and with an ultralow variability. Atomistic calculations reveal that the switching mechanism is related to the modification of the Schottky barriers and insulator-to-metal transition when ionic movement is induced via external bias. The devices are also used to model integrate-and-fire neurons for spiking neural networks and it is concluded that circuits employing DDP-CuNPs consume around ten times less power than similar neurons implemented with a memristor that switches at 40 mV.
Low-compliance bladder or high bladder pressure undoubtedly leads to hydronephrosis and renal impairment. As four decades have elapsed since a previous study found a detrusor leak-point pressure (DLPP) >40 cm H
O to result in hydronephrosis, we suspected the possibility of hydronephrosis or vesicoureteral reflux occurring at any point below the 40 cm H
O DLPP reference. Therefore, this study aimed to determine the storage detrusor pressure value and risk factors related to upper urinary tract damage (UUTD).
This study retrospectively reviewed the hospital records of 110 patients who visited the Neurogenic Bladder TU Service of Excellence Unit, Thammasat University Hospital, Pathum Thani, Thailand, and were diagnosed with neurogenic bladder between 2016 and 2020. The inclusion criteria were as follows patients who were diagnosed with neurogenic bladder from spinal cord problems (spinal dysraphism, spinal cord disease [tumor, degenerative, arteriovenous malformation, etc.], or traumatic spinal cord iignificantly associated with UUTD. Various bladder-management strategies have been developed to prevent UUTDs. However, the main concept continues to be the maintenance of a low storage pressure.
Our results demonstrated that low compliance and a storage pressure ≥15 cm H2 O were significantly associated with UUTD. Various bladder-management strategies have been developed to prevent UUTDs. However, the main concept continues to be the maintenance of a low storage pressure.
Localization of focal epilepsy is critical for surgical treatment of refractory seizures. There remains a great need for noninvasive techniques to localize seizures for surgical decision-making. We investigate the use of deep learning using resting state functional magnetic resonance imaging (RS-fMRI) to identify the hemisphere of seizure onset in temporal lobe epilepsy (TLE) patients.
A total of 2132 healthy controls and 32 preoperative TLE patients were studied. All participants underwent structural MRI and RS-fMRI. Healthy control data were used to generate training samples for a three-dimensional convolutional neural network (3DCNN). RS-fMRI was synthetically altered in randomly lateralized regions in the healthy control participants. The model was then trained to classify the hemisphere containing synthetic noise. Finally, the model was tested on TLE patients to assess its performance for detecting biological seizure onset zones, and gradient-weighted class activation mapping (Grad-CAM) identified thuracy. This approach represents a novel technique of seizure lateralization that could improve preoperative surgical planning.
Noninvasive techniques capable of localizing the seizure onset zone could improve presurgical planning in patients with intractable epilepsy. We have demonstrated the ability of deep learning to identify the correct hemisphere of the seizure onset zone in TLE patients using RS-fMRI with high accuracy. This approach represents a novel technique of seizure lateralization that could improve preoperative surgical planning.Lysine succinylation (Ksucc) regulates various metabolic processes, participates in vital life processes, and is involved in the occurrence and development of numerous diseases. Accurate recognition of succinylation sites can reveal underlying functional mechanisms and pathogenesis. A939572 supplier However, most remain undetected. Moreover, a deep learning architecture focusing on generic and species-specific predictions is still lacking. Thus, we proposed a deep learning-based framework named Deep-Ksucc, combining a dense convolutional network and ordered-neuron long short-term memory in parallel, which took the cascading characteristics of sequence information and physicochemical properties as the input. The results of the generic and species-specific predictions indicated that Deep-Ksucc can identify sequence patterns of different organisms and recognize plenty of succinylation sites. The case study showed that Deep-Ksucc can serve as a reliable tool for biology verification and computer-aided recognition of succinylation sites.
