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This study identifies the best online teaching practices to benefit first-year visual arts students, notably to include instructor-created videos. Such instructor-created videos provide a firm foundation for these students to succeed in their first year of college. The introduction of Web 2.0, focusing on user-generated content, has shown potential to address this issue in online higher education. This study will examine the impact of instructor-created videos to improve learning outcomes, satisfaction, and persistence. It focuses on key areas such as Communities of Practice (CoP), Project-Based Learning (PBL), and instructional design in the visual arts. This study used a quantitative quasi-experimental design to examine the difference in student grades before and after instructor implementation of instructor-created multimedia elements in their courses. Findings highlight the value of instructor-created multimedia elements, particularly for 'C' students, including implementation and challenges. By considering these factors, instructors can create effective and engaging online courses for visual arts education that may improve student performance, retention, and persistence to graduation.

Objective The effect of prolonged sitting on executive function and performance in competitive esports players are unknown. This study aimed to evaluate executive function following a 6 min bout of walking or rest during prolonged gaming in competitive esports players.Methods 12 men and 9 women completed three separate 2-hour gaming session days assigned in randomised order consisting of a 6 min walk break, 6 min rest break and continuous before and after each session. Postintervention participant exit survey data were also collected.Results The walk condition produced a significantly faster mean solution time (7613.6±3060.5 min, p=0.02) and planning time (5369.0±2802.09, p=0.04) compared with the resting condition (9477±3547.4; 6924±3247.7) and continuous play (8200.0±3031.6; 5862.7±2860.7). The rest condition resulted in the slowest mean solution time (9477.0±3547.4) and planning time (6924.0±3247.7), with the continuous play resulting in a faster mean solution time (8200.1±3031.6) and planning time (5862.7±2860.7) than the rest condition. There was no impact on game performance in any of the conditions. However, over 70% of participants felt that the walk break improved esports performance.Conclusions Reducing sit time and breaking up prolonged sitting have acute and chronic health benefits. This study provides evidence that a 6 min walking break in the middle of 2 hours of gameplay allows gamers to have these health benefits while improving processing speed and executive function.Trial registration number NCT04674436.

Pacing guides are commonplace yet controversial in American public schools. For teachers who question their usefulness, one means to circumvent them is to exercise autonomy in pedagogical decision-making, though doing so comes with challenges. Through interviews, we examined how 87 gifted and general education 4th and 5th grade math and reading/language arts teachers in one large, diverse public school district expressed their autonomy and reported enacting it in their classrooms. Findings indicated teachers' perceptions of autonomy differed, and their reported pacing guide deviations also differed accordingly. We discuss implications for those in environments where use of pacing guides is mandated.

Abstract A reduction in the thickness and volume of the brain entorhinal cortex (EC), together with changes in blood arachidonic acid (AA) and docosahexaenoic acid (DHA), are associated with Alzheimer’s disease (AD) among apolipoprotein E ε4 carriers. Magnetic Resonance Imaging (n = 631) and plasma lipidomics (n = 181) were performed using the LIMBIC/CENC cohort to examine the influence of ε4 on AA- and DHA-lipids and EC thickness and volume in relation to mild traumatic brain injury (mTBI). Results showed that left EC thickness was higher among ε4 carriers with mTBI. Repeated mTBI (r-mTBI) was associated with reduced right EC thickness after controlling for ε4, age and sex. Age, plus mTBI chronicity were linked to increased EC White Matter Volume (WMV). After controlling for age and sex, the advancing age of ε4 carriers with blast mTBI was associated with reduced right EC Grey Matter Volume (GMV) and thickness. Among ε4 carriers, plasma tau and Aβ40 were associated with mTBI and blast mTBI, respectively. Chronic mTBI, ε4 and AA to DHA ratios in phosphatidylcholine, ethanolamides, and phosphatidylethanolamine were associated with decreased left EC GMV and WMV. Further research is needed to explore these as biomarkers for detecting AD pathology following mTBI.

Abstract Advancements in microscopy techniques and computing technologies have enabled researchers to digitally reconstruct brains at micron scale. As a result, community efforts like the BRAIN Initiative Cell Census Network (BICCN) have generated thousands of whole-brain imaging datasets to trace neuronal circuitry and comprehensively map cell types. This data holds valuable information that extends beyond initial analyses, opening avenues for variation studies and robust classification of cell types in specific brain regions. However, the size and heterogeneity of these imaging data have historically made storage, sharing, and analysis difficult for individual investigators and impractical on a broad community scale. Here, we introduce the Brain Image Library (BIL), a public resource serving the neuroscience community that provides a persistent centralized repository for brain microscopy data. BIL currently holds thousands of brain datasets and provides an integrated analysis ecosystem, allowing for exploration, visualization, and data access without the need to download, thus encouraging scientific discovery and data reuse.

Abstract Introduction Several clinical outcome assessment (COA) instruments assess Sjögren’s disease (Sjögren’s) symptoms, but do not provide comprehensive assessment of the health-related quality of life (HRQoL) impact of Sjögren’s. This study aimed to develop a patient-reported outcome (PRO) instrument for the assessment of HRQoL, intended for use in clinical trials and clinical practice in the assessment of treatment benefit. Methods Review of study sponsor proprietary data and qualitative interviews informed the development of a conceptual model, the Sjögren’s Related Quality of Life (SRQoL) and patient global impression of severity (PGI-S) and change (PGI-C) items. Combined concept elicitation and cognitive debriefing interviews with patients with Sjögren’s explored their HRQoL impact experience and content validity of the SRQoL and PGI items. Results Twenty participants were interviewed about their Sjögren’s experience. Following inductive analysis of interviews, concepts were categorized into eight domains: emotional well-being (e.g., worry and stress; n = 20/20; 100%), sleep (e.g., daytime sleepiness and waking up during the night; n = 20/20; 100%), activities of daily living (e.g., difficulty looking at screens and difficulty driving; n = 20/20; 100%), cognition (e.g., concentration difficulties and word finding difficulties; n = 19/20; 95.0%), physical functioning (e.g., difficulty walking and difficulty exercising; n = 19/20; 95.0%), social and family functioning (e.g., dependent on others and relationship difficulties; n = 17/20; 85.0%), work (n = 15/20; 75.0%), and sexual functioning (n = 12/20; 60.0%). SRQoL and PGI items, instructions, response options, and recall period were well understood and relevant to participants. Conclusions The SRQoL is a new PRO instrument to assess Sjögren’s impact on HRQoL, developed in accordance with regulatory guidance. This study provides considerable insight into the patient experience of Sjögren’s and evidence to support the content validity of the SRQoL. Future research should evaluate the psychometric properties of the SRQoL to support its use in clinical trials and clinical practice and further validate its use as an assessment of treatment benefit.

Abstract Influenza virus pandemics are caused by viruses from animal reservoirs that adapt to efficiently infect and replicate in human hosts. Here, we investigate whether Interferon-Induced Transmembrane Protein 3 (IFITM3), a host antiviral factor with known human deficiencies, plays a role in interspecies virus infection and adaptation. We find that IFITM3-deficient mice and human cells can be infected with low doses of avian influenza viruses that fail to infect WT counterparts, identifying a new role for IFITM3 in controlling the minimum infectious virus dose threshold. Remarkably, influenza viruses passaged through Ifitm3 −/− mice exhibit enhanced host adaptation, a result that is distinct from viruses passaged in mice deficient for interferon signaling, which exhibit attenuation. Our data demonstrate that IFITM3 deficiency uniquely facilitates potentially zoonotic influenza virus infections and subsequent adaptation, implicating IFITM3 deficiencies in the human population as a vulnerability for emergence of new pandemic viruses.

Secondary mathematics teachers' use of formative assessments have shown promise for developing models of their students' mathematical thinking and informing their instruction. While the complexities of secondary mathematics teachers' formative assessment practices are often captured in qualitative research, there is a critical need for synthesized recommendations to connect formative assessment theory to practice. In a meta-aggregation synthesis from 11 qualitative manuscripts, we explored in-service teachers' formative assessment practices in US secondary mathematics classrooms. Our synthesis led to nine recommendations for in-service secondary mathematics teachers throughout three phases of their instruction: (a) prior to gathering evidence of student thinking; (b) while gathering, supporting, and responding to student thinking; and (c) reflecting on formative assessment practices. We close with connections to equitable teaching practices in secondary mathematics classrooms.

Men's negative attitudes toward women represent a known risk factor for sexual aggression perpetration. Sexual aggression is a widespread public health concern, especially among emerging adults, and is associated with a multitude of negative consequences. The current study evaluated whether pornography-related perceived peer norms, own approval, and self-reported use are associated with negative attitudes toward women in a sample of college men. Types of pornography examined included pornography (in general); pornography that included portrayals of bondage, whipping, and spanking but without explicit dissent (i.e., pornography that depicted bondage/physical aggression); as well as pornography consisting of sexually explicit rape depictions in which force is used. Self-report measures assessing the frequency of pornography exposure, self-acceptance of pornography use, and perceived peer norms were collected from 283 college men. A multiple linear regression model revealed that only perceived peer norms for acceptance of pornography that depicted rape was positively associated with negative attitudes toward women. Findings highlight the importance of better understanding and addressing perceived peer norms in sexual assault prevention programs for college men.

Differentiation is an instructional practice teachers employ to modify their classroom content, process, and products based on student readiness, interest, and learning profile. Many school districts recognize the benefits of differentiated instruction and thus mandate allotted classroom time for its implementation. In this article, we investigate how teachers in one such district resolved differentiation policy to practice in a high-stakes testing environment. We found, during the designated time for differentiation, teachers regularly remediated small groups but did not similarly address the academic needs of advanced students, thus not enacting the disciplinary standard for differentiation. We suggest teachers are recoupling practice and policy but misaligning it to the disciplinary definition of differentiation, which we contend has broader implications for instructional policymaking.

Abstract Gaucher disease (GD) type 3 is an autosomal recessive lysosomal disease caused by deficiency of β‐glucocerebrosidase (GCase) and encompasses a spectrum of cardiac, neurological, and ophthalmological abnormalities. Although the clinical presentations can be diverse, a recognized clinical trajectory points to an early onset, predominantly before 18 years. GD type 3c is primarily caused by homozygosity for GBA pathogenic variant c.1342G>C (p.Asp448His; historically referred to as D409H) and includes visceral, hematological, skeletal, and cardiac abnormalities. Notably, GD type 3c is distinct from other GD types because it is primarily characterized by valvular heart disease. Yet, with less than 50 patients with GD type 3c reported to date, the phenotypic spectrum and extent of cardiac involvement remains ill‐defined. We present a 20‐year‐old female with an atypical presentation of GD type 3c consisting of chronic intermediate uveitis as the presenting feature and the presence of extensive polyneuropathy starting in adolescence which has been previously unreported in GD type 3c. Distinctively, she has maintained normal cardiac function. Moreover, we compare our case with those reported in the literature to broaden awareness of the varied initial presentations of this disease. The diverse presentations seen in GD type 3c, underscored by our case and those previously reported, demonstrate the need for standardized evaluation and management protocols.

Abstract Hepatitis E virus (HEV) is an important emerging pathogen producing significant morbidity in immunosuppressed patients. HEV has been detrimental to solid organ transplant (SOT) patients, cancer patients, and HIV-positive patients, where chronic HEV infections occur. Blood-borne transfusions and multiple cases of chronic HEV infection in transplant patients have been reported in the past few decades, necessitating research on HEV pathogenesis using immunosuppressed animal models. Numerous animal species with unique naturally occurring HEV strains have been found, several of which have the potential to spread to humans and to serve as pathogenesis models. Host immunosuppression leads to viral persistence and chronic HEV infection allows for genetic adaptation to the human host creating new strains with worse disease outcomes. Procedures necessary for SOT often entail blood transfusions placing immunosuppressive patients into a “high risk group” for HEV infection. This scenario requires an appropriate immunosuppressive animal model to understand disease patterns in these patients. Hence, this article reviews the recent advances in the immunosuppressed animal models for chronic HEV infection with emphasis on pathogenesis, immune correlates, and the liver pathology associated with the chronic HEV infections.

Abstract Rheumatoid arthritis (RA) is a complex immune-mediated inflammatory disorder in which patients suffer from inflammatory-erosive arthritis. Recent advances on histopathology heterogeneity of RA synovial tissue revealed three distinct phenotypes based on cellular composition (pauci-immune, diffuse and lymphoid), suggesting that distinct etiologies warrant specific targeted therapy which motivates a need for cost effective phenotyping tools in preclinical and clinical settings. To this end, we developed an automated multi-scale computational pathotyping (AMSCP) pipeline for both human and mouse synovial tissue with two distinct components that can be leveraged together or independently: (1) segmentation of different tissue types to characterize tissue-level changes, and (2) cell type classification within each tissue compartment that assesses change across disease states. Here, we demonstrate the efficacy, efficiency, and robustness of the AMSCP pipeline as well as the ability to discover novel phenotypes. Taken together, we find AMSCP to be a valuable cost-effective method for both pre-clinical and clinical research.

Abstract Background The prognosis of surgically treated subjects with early onset scoliosis (EOS) into adulthood has been lacking. We aimed to investigate the patients’ perspectives on satisfaction with surgical treatment. Methodology We included all surgical candidates with EOS who had undergone index spinal surgery for scoliosis correction between 2009 and 2013. The minimum duration of postoperative follow-up was 10 years at the time of survey completion. Three questionnaires were used in this study, comprising the revised Scoliosis Research Society questionnaire (SRS-22r), the Patient-Reported Outcomes Measurement Information System (PROMIS-29), and the World Health Organization Quality of Life (WHOQOL-BREF). Measures of treatment satisfaction were retrieved from SRS-22r. Results There were 29 participants who completed the survey, and thereby included in the study (i.e., a response rate of 43% and a dropout rate of 6%). Amongst them, 14, 11, and 4 individuals received posterior spinal fusion (PSF), magnetically controlled growing rods (MCGR), and traditional growing rods, respectively. The average duration after the index spinal surgery was 12.6 ± 2.2 years. Our findings revealed that self-image (across all treatment groups), sleep disruption (only in PSF), and social aspects (in both PSF and MCGR) were significantly worse when compared to the normative values. According to the multivariable linear regression model (R-square = 0.690, p

Abstract Facioscapulohumeral muscular dystrophy (FSHD) affects roughly 1 in 7500 individuals. While at the population level there is a general pattern of affected muscles, there is substantial heterogeneity in muscle expression across- and within-patients. There can also be substantial variation in the pattern of fat and water signal intensity within a single muscle. While quantifying individual muscles across their full length using magnetic resonance imaging (MRI) represents the optimal approach to follow disease progression and evaluate therapeutic response, the ability to automate this process has been limited. The goal of this work was to develop and optimize an artificial intelligence-based image segmentation approach to comprehensively measure muscle volume, fat fraction, fat fraction distribution, and elevated short-tau inversion recovery signal in the musculature of patients with FSHD. Intra-rater, inter-rater, and scan-rescan analyses demonstrated that the developed methods are robust and precise. Representative cases and derived metrics of volume, cross-sectional area, and 3D pixel-maps demonstrate unique intramuscular patterns of disease. Future work focuses on leveraging these AI methods to include upper body output and aggregating individual muscle data across studies to determine best-fit models for characterizing progression and monitoring therapeutic modulation of MRI biomarkers.

Law enforcement officers are the primary individuals called and who respond to situations of heightened concern. They make split-second observations and decisions based on how best to react to given safety situations and those involved. Characteristics of autism spectrum disorders (ASD), if not properly understood and reacted to, may quickly escalate a law enforcement officer call in a negative way, making autism training for law enforcement officers imperative. To ascertain what is known about autism training for law enforcement officers, a scoping review was conducted. Five studies met final inclusion criteria. The trainees, context and development of the training, evaluation procedures, and training outcomes are synthesized to provide guidance for future training implementation teams. Areas for future research are presented.

The level of tumor and circulating CXCR1/2-expressing neutrophils and CXCR1/2 ligands correlate with poor patient outcomes, inversely correlate with tumoral lymphocyte content, and predict immune checkpoint inhibitor (ICI) treatment failure. Accordingly, CXCR2-selective and CXCR1/2 dual inhibitors exhibit activity both as single agents and in combination with ICI treatment in mouse tumor models. Based on such reports, clinical trials combining CXCR1/2 axis antagonists with ICI treatment for cancer patients are underway. It has been assumed that CXCR1/2 blockade impacts tumors by blocking neutrophil chemotaxis and reducing neutrophil content in tumors. Here, we show that while CXCR2 antagonism does slow tumor growth, it does not preclude neutrophil recruitment into tumor. Instead, CXCR1/2 inhibition alters neutrophil function by blocking the polarization of transcriptional programs toward immune suppressive phenotypes and rendering neutrophils incapable of suppressing lymphocyte proliferation. This is associated with decreased release of reactive oxygen species and Arginase-1 into the extracellular milieu. Remarkably, these therapeutics do not impact the ability of neutrophils to phagocytose and kill ingested bacteria. Taken together, these results mechanistically explain why CXCR1/2 inhibition has been active in cancer but without infectious complications.

This article uses the concurrent mixed methods design to explore the errors made by 171 Grade Seven learners in algebraic problem-solving within the Assin Central Municipality in Ghana. The participants were categorized into low-achieving and high-achieving groups based on their performance in a pretest, to help provide a detailed examination of the discrepancies in error occurrence between these groups. The Newman error analysis framework was used to unveil distinct patterns of errors among learners when tackling algebraic tasks. Quantitative data from the test were complemented by qualitative insights employing the Think Aloud Protocols (TAP). The analysis revealed that low-achieving learners struggled with reading, comprehension, and transformation errors, while high-achieving learners mainly encountered transformation and process skill errors. The findings contribute valuable insights into learners’ challenges in mastering algebraic concepts, offering implications for educational interventions and curriculum development in mathematics education. The study recommends implementing differentiated instruction strategies and providing additional support for comprehension, and problem-solving skills to improve algebraic proficiency among learners.

Nr2f transcription factors (TFs) are conserved regulators of vertebrate atrial cardiomyocyte (AC) differentiation. However, little is known about the mechanisms directing Nr2f expression in ACs. Here, we identified a conserved enhancer 3' to the nr2f1a locus, which we call 3'reg1-nr2f1a (3'reg1), that can promote Nr2f1a expression in ACs. Sequence analysis of the enhancer identified putative Lef/Tcf and Foxf TF binding sites. Mutation of the Lef/Tcf sites within the 3'reg1 reporter, knockdown of Tcf7l1a, and manipulation of canonical Wnt signaling support that Tcf7l1a is derepressed via Wnt signaling to activate the transgenic enhancer and promote AC differentiation. Similarly, mutation of the Foxf binding sites in the 3'reg1 reporter, coupled with gain- and loss-of-function analysis supported that Foxf1 promotes expression of the enhancer and AC differentiation. Functionally, we find that Wnt signaling acts downstream of Foxf1 to promote expression of the 3'reg1 reporter within ACs and, importantly, both Foxf1 and Wnt signaling require Nr2f1a to promote a surplus of differentiated ACs. CRISPR-mediated deletion of the endogenous 3'reg1 abrogates the ability of Foxf1 and Wnt signaling to produce surplus ACs in zebrafish embryos. Together, our data support that downstream members of a conserved regulatory network involving Wnt signaling and Foxf1 function on a nr2f1a enhancer to promote AC differentiation in the zebrafish heart.