Horses can become obese and develop related health issues such as laminitis from excessive grazing on high-quality pasture grass; limiting pasture intake can allow weight loss to occur. The objective of this study was to determine the effect of space-restricted rotational grazing on body weight (BW) and time budgets in horses. Eight mature geldings and mares with maintenance-only requirements were randomly assigned to either a space-restricted rotational grazing group (SRG; BW 512 ± 6 kg; n = 4) or a continuous grazing group (CG; BW 517 ± 49 kg; n = 4) for 42 d SRG horses grazed an area with dimensions to provide 80-90 % of mean digestible energy requirement for the 4 horses over a 7-d grazing period; whereas, the CG horses continuously grazed similar non-toxic endophyte-infected tall fescue pasture providing greater than maintenance requirements for the 42 d Horses in the SRG group were moved to a new area every 7 d for 6 weeks. On d 7 at 1600 h of each week, horses were brought inside, and feed was withheld overnight. At 0700 h the next day, BWs were recorded prior to turnout. Observers recorded behaviors simultaneously on SRG and CG horses every six minutes throughout the day three days per week according to an ethogram. This included 30 s scans of all horses. Proportion of grazing and standing had an inverse relationship. Proportion of grazing was affected by the treatment by time interaction, which grazing was displayed more in SRG than CG during weeks 2 and 3, and then reversed weeks 4, 5 and 6.

UNASSIGNED: Both ketamine (KET) and medial prefrontal cortex (mPFC) deep brain stimulation (DBS) are emerging therapies for treatment-resistant depression, yet our understanding of their electrophysiological mechanisms and biomarkers is incomplete. This study investigates aperiodic and periodic spectral parameters, and the signal complexity measure sample entropy, within mPFC local field potentials (LFP) in a chronic corticosterone (CORT) depression model after ketamine and/or mPFC DBS.
UNASSIGNED: Male rats were intraperitoneally administered CORT or vehicle for 21 days. Over the last 7 days, animals receiving CORT were treated with mPFC DBS, KET, both, or neither; then tested across an array of behavioral tasks for 9 days.
UNASSIGNED: We found that the depression-like behavioral and weight effects of CORT correlated with a decrease in aperiodic-adjusted theta power (5-10 Hz) and an increase in sample entropy during the administration phase, and an increase in theta peak frequency and a decrease in the aperiodic exponent once the depression-like phenotype had been induced. The remission-like behavioral effects of ketamine alone correlated with a post-treatment increase in the offset and exponent, and decrease in sample entropy, both immediately and up to eight days post-treatment. The remission-like behavioral effects of mPFC DBS alone correlated with an immediate decrease in sample entropy, an immediate and sustained increase in low gamma (20-50 Hz) peak width and aperiodic offset, and sustained improvements in cognitive function. Failure to fully induce remission-like behavior in the combinatorial treatment group correlated with a failure to suppress an increase in sample entropy immediately after treatment.
UNASSIGNED: Our findings therefore support the potential of periodic theta parameters as biomarkers of depression-severity; and periodic low gamma parameters and cognitive measures as biomarkers of mPFC DBS treatment efficacy. They also support sample entropy and the aperiodic spectral parameters as potential cross-modal biomarkers of depression severity and the therapeutic efficacy of mPFC DBS and/or ketamine. Study of these biomarkers is important as objective measures of disease severity and predictive measures of therapeutic efficacy can be used to personalize care and promote the translatability of research across studies, modalities, and species.

BACKGROUND: Neonatal nurses should provide timely and high-quality palliative care whenever necessary. It\'s necessary to investigate the knowledge, attitude and behavior of palliative care among neonatal nurses, to provide references and evidences for clinical palliative care.
METHODS: Neonatal intensive care unit (NICU) nurses in a tertiary hospital of China were selected from December 1 to 16, 2022. The palliative care knowledge, attitude and behavior questionnaire was used to evaluate the current situation of palliative nursing knowledge, attitude and behavior of NICU nurses. Univariate analysis and multivariate logistic regression analysis were used to analyze the influencing factors.
RESULTS: 122 nurses were finally included. The average score of knowledge in neonatal nurses was 7.68 ± 2.93, the average score of attitude was 26.24 ± 7.11, the score of behavior was 40.55 ± 8.98, the average total score was 74.03 ± 10.17. Spearman correlation indicated that score of knowledge, attitude and behavior of palliative care in neonatal nurses were correlated with the age(r = 0.541), year of work experience(r = 0.622) and professional ranks and titles(r = 0.576) (all P < 0.05). Age (OR = 1.515, 95%CI: 1.204 ~ 1.796), year of work experience (OR = 2.488, 95%CI: 2.003 ~ 2.865) and professional ranks and titles (OR = 2.801, 95%CI: 2.434 ~ 3.155) were the influencing factors of score of knowledge, attitude and behavior of palliative care (all P < 0.05).
UNASSIGNED: NICU nurses have a positive attitude towards palliative care, but the practical behavior of palliative care is less and lack of relevant knowledge. Targeted training should be carried out combined with the current situation of knowledge, attitude and practice of NICU nurses to improve the palliative care ability and quality of NICU nurses.

暂无摘要。

Dysbindin-1, a protein encoded by the schizophrenia susceptibility gene DTNBP1, is reduced in the hippocampus of schizophrenia patients. It is expressed in various cellular populations of the brain and implicated in dopaminergic and glutamatergic transmission. To investigate the impact of reduced dysbindin-1 in excitatory cells on hippocampal-associated behaviors and synaptic transmission, we developed a conditional knockout mouse model with deletion of dysbindin-1 gene in CaMKIIα expressing cells. We found that dysbindin-1 reduction in CaMKII expressing cells resulted in impaired spatial and social memories, and attenuation of the effects of glutamate N-methyl-d-asparate receptor (NMDAR) antagonist MK801 on locomotor activity and prepulse inhibition of startle (PPI). Dysbindin-1 deficiency in CaMKII expressing cells also resulted in reduced protein levels of NMDAR subunit GluN1 and GluN2B. These changes were associated with increased expression of immature dendritic spines in basiliar dendrites and abnormalities in excitatory synaptic transmission in the ventral hippocampus. These results highlight the functional relevance of dysbindin-1 in excitatory cells and its implication in schizophrenia-related pathologies.

BACKGROUND: Health behaviours such as exercise and diet strongly influence well-being and disease risk, providing the opportunity for interventions tailored to diverse individual contexts. Precise behaviour interventions are critical during adolescence and young adulthood (ages 10-25), a formative period shaping lifelong well-being. We will conduct a systematic review of just-in-time adaptive interventions (JITAIs) for health behaviour and well-being in adolescents and young adults (AYAs). A JITAI is an emerging digital health design that provides precise health support by monitoring and adjusting to individual, specific and evolving contexts in real time. Despite demonstrated potential, no published reviews have explored how JITAIs can dynamically adapt to intersectional health factors of diverse AYAs. We will identify the JITAIs\' distal and proximal outcomes and their tailoring mechanisms, and report their effectiveness. We will also explore studies\' considerations of health equity. This will form a comprehensive assessment of JITAIs and their role in promoting health behaviours of AYAs. We will integrate evidence to guide the development and implementation of precise, effective and equitable digital health interventions for AYAs.
METHODS: In adherence to Preferred Reporting Items for Systematic Review and Meta-Analysis guidelines, we will conduct a systematic search across multiple databases, including CENTRAL, MEDLINE and WHO Global Index Medicus. We will include peer-reviewed studies on JITAIs targeting health of AYAs in multiple languages. Two independent reviewers will conduct screening and data extraction of study and participant characteristics, JITAI designs, health outcome measures and equity considerations. We will provide a narrative synthesis of findings and, if data allows, conduct a meta-analysis.
BACKGROUND: As we will not collect primary data, we do not require ethical approval. We will disseminate the review findings through peer-reviewed journal publication, conferences and stakeholder meetings to inform participatory research.
UNASSIGNED: CRD42023473117.

Background In their academic lives, students progress from the stage of primary learning to the stage of adolescent learning and then to the stage of adult learning. At every step of learning, learners display particular learning habits, which must be mapped out to maximize learning. Objectives The objective of the present study is to evaluate the person-centered behaviors that influence learning among learners in adolescent and adult age groups by employing a learning behavior questionnaire that has been previously validated. Material and methods A cross-sectional study in which 944 participants were enrolled, including 456 adolescents from English-medium schools (aged 11 to 16 years) and 488 adults from a health professional institute (aged 18 to 23 years). The validated learning behavior questionnaire, which study participants rated on a scale of 0, 1, and 2, served as the study\'s quantitative component. The focus group discussion that was held for a group of adult and teenage students comprised the study\'s qualitative component. Using STATA-14 software (StataCorp LLC, College Station, USA), all of the responses were tallied and statistically examined. Results  The mean scores of person-centered learning behaviors were significantly higher for learners in the adult age group than for learners in the adolescent age group. The findings of the component, which was qualitative in nature, were consistent with the findings of the learning behavior questionnaire analysis. For both adults and adolescents, the difference in mean person-centered learning scores was statistically negligible at a 5% level of significance (p=0.415 and p=0.368, respectively). Conclusion The study\'s checklist, which is self-monitoring in nature, may aid in the evaluation of learning behaviors and make it simpler for adult and adolescent learners to establish excellent learning habits.

UNASSIGNED: The COVID-19 pandemic has had tremendous implications for billions of adolescents worldwide due to school closures, forcing students to embrace internet usage for daily tasks. Uncontrolled use of the internet among adolescents makes them vulnerable to internet addiction (IA). This study aims to determine the prevalence of IA among adolescents and assess its association with sociodemographic factors, smartphone use, and psychological distress during the pandemic.
UNASSIGNED: A cross-sectional self-administered online survey was conducted among students aged 13-17 from May 15th, 2021, until May 30th, 2021, using the Malay version of the Internet Addiction Test (MVIAT), the Depression, Anxiety, and Stress Scale (DASS-21), and the Coronavirus Impacts Questionnaires, as well as a sociodemographic information form. The data was analyzed with IBM SPSS Statistics version 23.
UNASSIGNED: A total of 420 adolescents participated in the survey. The majority of them (70.7%) were female, with a mean age of 15.47 years (±1.49 years old). About 45.5% of the respondents were classified as internet addicted users. The Chi-square test analysis showed that age (p = 0.002), smartphone usage (p = 0.010), rate of midnight use (p < 0.001), frequency (p < 0.001), duration (p < 0.001) of device usage, and presence of depression, anxiety, and stress (p < 0.001) were all significantly associated with IA. Multiple logistic regression showed age (aOR = 1.16, 95% CI [1.00-1.35], p = 0.048), smartphone usage (aOR =3.52, 95% CI [1.43-8.67], p = 0.006), mild or moderate depression (aOR = 2.43, 95% CI [1.36-4.34], p = 0.003), severe or extremely severe stress (aOR = 6.41, 95% CI [2.18-18.82], p = 0.001) were significantly related to IA.
UNASSIGNED: Late adolescence, the use of smartphones, and the presence of psychological distress like depression, and stress were potentially associated with IA. Wise use of smartphones and early identification of any psychological distress among adolescents are warranted, especially during the pandemic.

Recent studies have explored functional and effective neural networks in animal models; however, the dynamics of information propagation among functional modules under cognitive control remain largely unknown. Here, we addressed the issue using transfer entropy and graph theory methods on mesoscopic neural activities recorded in the dorsal premotor cortex of rhesus monkeys. We focused our study on the decision time of a Stop-signal task, looking for patterns in the network configuration that could influence motor plan maturation when the Stop signal is provided. When comparing trials with successful inhibition to those with generated movement, the nodes of the network resulted organized into four clusters, hierarchically arranged, and distinctly involved in information transfer. Interestingly, the hierarchies and the strength of information transmission between clusters varied throughout the task, distinguishing between generated movements and canceled ones and corresponding to measurable levels of network complexity. Our results suggest a putative mechanism for motor inhibition in premotor cortex: a topological reshuffle of the information exchanged among ensembles of neurons.
In this study, we investigated the dynamics of information transfer among functionally identified neural modules during cognitive motor control. Our focus was on mesoscopic neural activities in the dorsal premotor cortex of rhesus monkeys engaged in a Stop-signal task. Leveraging multivariate transfer entropy and graph theory, we uncovered insights on how behavioral control shapes the topology of information transmission in a local brain network. Task phases modulated the strength and hierarchy of information exchange between modules, revealing the nuanced interplay between neural populations during generated and canceled movements. Notably, during successful inhibition, the network displayed a distinctive configuration, unveiling a novel mechanism for motor inhibition in the premotor cortex: a topological reshuffle of information among neuronal ensembles.

暂无摘要。