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A neighborhood Assessment for the Utilization of a Bio-Psycho-Social Product within School-Based Psychological Well being Advertising.
Teaching with a multisensory approach helps students link new information to prior knowledge and understand relationships between concepts. This study aimed to reflect on convergences between the Multisensory Integration Approach Model with the Learning Assimilation Theory and Meaningful Retention with Bloom's Cognitive Process Domain, and to propose a taxonomic table of lesson planning for teaching Acute Coronary Syndrome, considering the confluence of these references. The three frameworks consider the importance of students' prior knowledge, the process of abstraction and generalization of knowledge, and the relationship between working and long-term memory. By observing such convergences and the taxonomic table produced, it is observed that teaching topics of interest to nursing undergraduate students, adopting the Multisensory Integration Approach Model as a taxonomic table component (pre-organizing or recall activities to arouse different sensory perceptions aligned with instructional objectives and forms of assessment), in the light of the Learning Assimilation Theory and Meaningful Retention, has the potential to favor the reception and processing of instructional content.
Understanding of COVID-19 acquisition and severity risk in minoritized groups is limited by data collection on race and ethnicity; very little is known about COVID-19 risk among Arab Americans in the United States.

To quantify whether Arab Americans in the El Cajon region of California experienced differential levels of SARS-CoV-2 infection, severity and mortality when compared to other racial/ethnic groups.

A retrospective study was conducted using Sharp Grossmont Hospital's electronic medical records. Patients were included in the study if they were 18 years of age or older, tested for SARS-CoV-2, admitted for COVID-19 infection, or had COVID-19 listed as a cause of death between March 1, 2020 and January 31, 2021. The primary outcomes of interest were a positive COVID-19 test result, admission to the hospital due to COVID-19, and in hospital COVID-19 related mortality. Comparisons were made across racial/ethnic groups using chi-squared statistics and logistic regression models adjusted for sociodemographics, comorbidities, and time from March 2020.

Arab Americans had greater odds of testing positive for SARS-CoV-2 than non-Hispanic White (adjusted odds ratio, AOR 3.83, 95% confidence interval, CI 3.29, 4.46) and non-Hispanic Black (AOR 2.34, 95% CI 1.91, 2.88) patients but lower odds of admission (AOR 0.47, 95% CI 0.36, 0.63) and in-hospital mortality (AOR 0.43, 95% CI 0.28, 0.65) than Hispanic patients.

There were distinct patterns for COVID-19 infection, severity, and mortality for Arab Americans in Southern California. Without a dedicated ethnic identifier, COVID-19 disparities facing Arab Americans will continue to go undocumented.
There were distinct patterns for COVID-19 infection, severity, and mortality for Arab Americans in Southern California. Without a dedicated ethnic identifier, COVID-19 disparities facing Arab Americans will continue to go undocumented.A previously developed joint-space metabolic energy expenditure (MEE) model includes subject-specific parameters and was validated using level walking gait data. In this work, we determine how well this joint-space model performs during various walking grades (-8%, 0%, and 8%) at 0.8 m·s ⁻1 and 1.3 m·s ⁻1 using published gait data in the literature. In response to those results, we formulate an optimization problem and solve it through the particle swam method plus fmincon function in MATLAB to identify a new optimal weighting parameter set for each grade that produces more accurate predicted MEE and we compare our new findings with seven other MEE models in the literature. The current study matched the measured MEE the best with the lowest RMSE values for level (0.45 J·kg ⁻1·m ⁻1) and downhill (0.82 J·kg ⁻1·m ⁻1) walking and the third lowest RMSE value for uphill (1.56 J·kg ⁻1·m ⁻1) walking, where another MEE model, Looney et al., had the lowest RMSE for uphill (1.27 J·kg ⁻1·m ⁻1) walking. Bland-Altman plots and three independent-samples t-tests show that there was no statistical significant difference between experimentally measured MEE and estimated MEE during the three walking conditions, meaning that the three new optimal weighting parameter sets can be used with 6 degree of freedom (DOF) lower extremity motion data to better estimate whole body MEE in those scenarios. We believe that this work is a step towards identifying a single robust parameter set that allows for accurate estimation of MEE during any task, with the potential to mitigate a limitation of indirect calorimetry requiring lengthy steady state motion.
Individuals with cognitive impairment and their families place a high value on receiving a dementia diagnosis, but clinician approaches vary. There is a need for research investigating experiences of giving and receiving dementia diagnoses. The current study aimed to investigate clinician approaches to giving dementia diagnoses as part of a larger study investigating patient, caregiver, and clinician experiences during the diagnosis encounter.

Investigators conducted telephone interviews with Florida-based clinicians who give dementia diagnoses either rarely or commonly. Interviews employed a semi-structured interview guide querying communication practices used by clinicians when giving dementia diagnoses and how clinicians learned to give dementia diagnoses. Investigators used a descriptive qualitative design to conduct a thematic analysis of data.

Fifteen Florida-based clinicians participated, representing diverse backgrounds related to gender, race/ethnicity, specialty, and practice setting. Participient disclosure preferences and terminology used. Clinicians caring for diverse populations described that cultural background affects the disclosure process, but more research is needed regarding this finding and best practices for individuals from different backgrounds.
Diverse Florida-based clinicians described dementia disclosure practices largely consistent with published guidance, but clinicians varied on approaches relating to soliciting patient disclosure preferences and terminology used. Clinicians caring for diverse populations described that cultural background affects the disclosure process, but more research is needed regarding this finding and best practices for individuals from different backgrounds.
To quantitatively analyze morphological and functional alterations of the meibomian glands in eyes with marginal entropion and their changes after surgery.

Sixty eyes of 52 patients with marginal entropion and underwent meibography and interferometer were included. One-hundred and seventeen age- and sex-matched eyes with minimal to mild meibomian gland dysfunction (MGD) were recruited as control eyes. Meibomian gland loss (MGL) and lipid layer thickness (LLT) were compared between eyes with marginal entropion and control eyes. Subgroup analysis was performed according to the extent of entropion. MGL and average LLT at 1 and 5 months after surgery were compared with those of 20 eyes with marginal entropion followed without surgery.

In eyes with marginal entropion, MGL was higher (27.7% vs. 12.8%, P = 0.014), and average LLT was thinner (64 nm vs. 86 nm, P = 0.005) than those in control eyes. MGL was higher in eyes with more extensive entropion (> 2/3 eyelid width) than in eyes with less extensive entropion (≤ 1/3 eyelid width) (40.5% vs. 13.2%, P = 0.001). Average LLT increased after surgery (97 nm at 1 month, P = 0.003; 75 nm at 5 months, P = 0.319), and thicker than that of eyes followed without surgery (97 nm vs. 66 nm, P = 0.046). MGLs after surgery remained unchanged from the preoperative MGL (all P > 0.7).

Marginal entropion is associated with morphological and functional alterations of the meibomian glands. Functional improvement after entropion repair suggests that marginal entropion could cause or exacerbate MGD. Further studies are required to establish the role of entropion repair in managing MGD.
Marginal entropion is associated with morphological and functional alterations of the meibomian glands. Functional improvement after entropion repair suggests that marginal entropion could cause or exacerbate MGD. Further studies are required to establish the role of entropion repair in managing MGD.Extracellular vesicles (EVs) are double membrane structures released by all cell types with identified roles in the generation, transportation, and degradation of amyloid-β protein (Aβ) oligomers in Alzheimer's disease (AD). EVs are thus increasingly recognized to play a neuroprotective role in AD, through their ability to counteract the neurotoxic effects of Aβ, possibly through interactions with specific receptors on cell membranes. Our previous studies have identified the amylin receptor (AMY), particularly AMY3 subtype, as a mediator of the deleterious actions of Aβ in vitro and in vivo experimental paradigms. In the present study, we demonstrate that AMY3 enriched EVs can bind soluble oligomers of Aß and protect N2a cells against toxic effects of this peptide. The effect was specific to amylin receptor as it was blocked in the presence of amylin receptor antagonist AC253. This notion was supported by reduced Aβ binding to EVs from AMY depleted mice compared to those from wild type (Wt) mice. Finally, application of AMY3, but not Wt derived, EVs to hippocampal brain slices improved Aβ-induced reduction of long-term potentiation, a cellular surrogate of memory. Collectively, our observations support the role of AMY receptors, particularly AMY3, in EVs as a potential therapeutic target for AD.How can we accurately and efficiently decompose a tensor stream? Tensor decomposition is a crucial task in a wide range of applications and plays a significant role in latent feature extraction and estimation of unobserved entries of data. The problem of efficiently decomposing tensor streams has been of great interest because many real-world data dynamically change over time. However, existing methods for dynamic tensor decomposition sacrifice the accuracy too much, which limits their usages in practice. Moreover, the accuracy loss becomes even more serious when the tensor stream has an inconsistent temporal pattern since the current methods cannot adapt quickly to a sudden change in data. In this paper, we propose DAO-CP, an accurate and efficient online CP decomposition method which adapts to data changes. DAO-CP tracks local error norms of the tensor streams, detecting a change point of the error norms. Cathepsin G Inhibitor I It then chooses the best strategy depending on the degree of changes to balance the trade-off between speed and accuracy. Specifically, DAO-CP decides whether to (1) reuse the previous factor matrices for the fast running time or (2) discard them and restart the decomposition to increase the accuracy. Experimental results show that DAO-CP achieves the state-of-the-art accuracy without noticeable loss of speed compared to existing methods.
Previous studies showed that the COVID-19 outbreak increased the levels of depression and anxiety in heterogeneous populations. However, none has explored the prevalence and correlates of depression and anxiety among Chinese international students studying in US colleges during the pandemic.

This study examines the prevalence of depression and anxiety among Chinese international students enrolled in US universities during the COVID-19 pandemic and identifies the associated factors, including habits, social and psychological support, sleep quality, and remote learning.

Between June and July 2020, we conducted a cross-sectional study through Wenjuanxing, a web-based survey platform. Participants were recruited with snowball sampling through 21 Chinese international student associations in US universities. The survey consisted of demographic questions, the Social Support Rating Scale (SSRS), the Insomnia Severity Index (ISI), the Patient Health Questionnaire-9 (PHQ-9), the General Anxiety Disorder-7 (GAD-7), and self-constructed questions on academic performance, financial concerns, use of social media, physical exercise, and psychological support.
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