Tetraspanins (Tspans) comprise a membrane protein family structurally defined by four transmembrane domains and intracellular N and C termini that is found in almost all cell types and tissues of eukaryotes. Moreover, they are involved in a bewildering multitude of diverse biological processes such as cell adhesion, motility, protein trafficking, signaling, proliferation, and regulation of the immune system. Beside their physiological roles, they are linked to many pathophysiological phenomena, including tumor progression regulation, HIV-1 replication, diabetes, and hepatitis. Tetraspanins are involved in the formation of extensive protein networks, through interactions not only with themselves but also with numerous other specific proteins, including regulatory proteins in the central nervous system (CNS). Interestingly, recent studies showed that Tspan7 impacts dendritic spine formation, glutamatergic synaptic transmission and plasticity, and that Tspan6 is correlated with epilepsy and intellectual disability (formerly known as mental retardation), highlighting the importance of particular tetraspanins and their involvement in critical processes in the CNS. In this review, we summarize the current knowledge of tetraspanin functions in the brain, with a particular focus on their impact on glutamatergic neurotransmission. In addition, we compare available resolved structures of tetraspanin family members to those of auxiliary proteins of glutamate receptors that are known for their modulatory effects.

Abstract Prior research has highlighted that for teachers to develop robust practices, they need to develop rich professional vision (PV)—the ability to see nuanced issues of teaching and learning in situ, interpret them, and respond. In the context of problem-based learning (PBL), PV involves guiding student-centered learning and understanding when to provide just-in-time scaffolding as students navigate real-world problems. In efforts between teachers and researchers to co-design PBL experiences, design partners co-construct PV as they put forth different ways of seeing and navigate how to support student learning together. We need to better understand how (1) PV is interactionally constructed in these efforts and (2) what tools and designs support this co-construction. We use discourse analysis to explore how joint video analysis in one co-design effort supported the simultaneous development of PV for teacher and researcher. Findings revealed that collaborative video analysis of classroom interaction and student artifacts acted as boundary objects for design partners—a shared space for meaning making. On video, classroom interactions were revisited, and alternative possibilities reimagined. Group artifacts (e.g., drawings and notes) made students’ thinking available for interpretation. Consistent open-ended questions in co-design (e.g., “how are we seeing PBL in action here?”) supported the negotiation and alignment of PVs, setting shared goals, and planning actions for upcoming class periods. This research contributes to our shared understanding of how to support research and practice that is responsive to local context and is mutually beneficial for researcher and teacher.

BACKGROUND: Identifying older adults with risk for falls prior to discharge home from the Emergency Department (ED) could help direct fall prevention interventions, yet ED-based tools to assist risk stratification are under-developed. The aim of this study was to assess the performance of self-report and functional assessments to predict falls in the 3 months post-ED discharge for older adults. METHODS: A prospective cohort of community-dwelling adults age 60 years and older were recruited from one urban ED (N=134). Participants completed: a single item screen for mobility (SIS-M), the 12-item Stay Independent Questionnaire (SIQ-12), and the Timed Up and Go test (TUG). Falls were defined through self-report of any fall at 1- and 3-months and medical record review for fall-related injury 3-months post-discharge. We developed a hybrid-convolutional recurrent neural network (HCRNN) model of gait and balance characteristics using truncal 3-axis accelerometry collected during the TUG. Internal validation was conducted using bootstrap resampling with 1000 iterations for SIS-M, FRQ, and GUG and leave-one-out for the HCRNN. We compared performance of M-SIS, FRQ, TUG time, and HCRNN by calculating the area under the receiver operating characteristic area under the curves (AUCs). RESULTS: 14 (10.4%) of participants met our primary outcome of a fall or fall-related injury within 3-months. The SIS-M had an AUC of 0.42 [95% confidence interval (CI) 0.19–0.65]. The SIQ-12 score had an AUC of 0.64 [95% confidence interval (CI) 0.49–0.80]. The TUG had an AUC of 0.48 (95% CI 0.29–0.68). The HCRNN model using generated accelerometer features collected during the TUG had an AUC of 0.99 (95% CI 0.98–1.00). CONCLUSION: We found that self-report and functional assessments lack sufficient accuracy to be used in isolation in the ED. A neural network model using accelerometer features could be a promising modality but research is needed to externally validate these findings.

Our ability to interrogate and manipulate the genome far exceeds our capacity to measure the effects of genetic changes on plant traits. Much effort has been made recently by the plant science research community to address this imbalance. The responses of plants to environmental conditions can now be defined using a variety of imaging approaches. Hyperspectral imaging (HSI) has emerged as a promising approach to measure traits using a wide range of wavebands simultaneously in 3D to capture information in lab, glasshouse, or field settings. HSI has been applied to define abiotic, biotic, and quality traits for optimisation of crop management.

The accurate quantification of ethanol in water is essential for forensic applications such as blood and breath alcohol testing and for commercial applications such as the assessment of alcoholic beverages. The intercomparison EURAMET.QM-S14 is part of a capacity building project named ALCOREF "Certified forensic alcohol reference materials" [1] that is running within the European Metrology Programme for Innovation and Research (EMPIR) [2]. The intercomparison should allow project partners and other interested National Metrology Institutes (NMIs) and Designated Institutes (DIs) to benchmark their analytical methods for the quantification of ethanol in water. The study plan was agreed by the European Association of National Metrology Institutes (EURAMET) Subcommittee Bio- and Organic Analysis (SCBOA) and the Organic Analysis Working Group (OAWG) of the Comité Consultatif pour la Quantité de Matière (CCQM) in February and April 2019, respectively. The intercomparison was coordinated by BAM. Two concentration levels relevant for the calibration and verification of evidential breath alcohol analysers were distributed to study participants. Fifteen institutes from 15 countries registered for the intercomparison and returned results. Participants mostly applied gas chromatography with flame ionisation detection (GC-FID) or mass spectroscopy (GC-MS), one participant used titrimetry and one participant employed a test bench for breath analyser calibration ("bubble train"). Participants did either in-house purity assessment of their commercial ethanol calibrants by Karl-Fischer titration, chromatographic methods, quantitative nuclear magnetic resonance spectroscopy (qNMR) and/or density measurements; or they used ethanol/water Certified Reference Materials (CRMs) from NMIs/DIs for calibration. CCQM OAWG agreed to use a consensus value from participants' results that utilizes the reported uncertainties as Key Comparison Reference Value (KCRV). The Gaussian Random effects model with Hierarchical Bayesian solution (HB-REM) is a reasonable approach in this case. The KCRVs and Degrees of Equivalence (DoEs) were calculated with the NIST consensus builder version 1.2 Hierarchical Bayes procedure [3]. Successful participation in the interlaboratory comparison has demonstrated the capabilities in determining the mass fraction of ethanol in aqueous matrices in the range 0.1 mg/g to 8 mg/g. Fourteen out of 15 participants have successfully quantified both samples, one participant successfully quantified only the lower-level (0.6 mg/g) sample. To reach the main text of this paper, click on Final Report. Note that this text is that which appears in Appendix B of the BIPM key comparison database https://www.bipm.org/kcdb/. The final report has been peer-reviewed and approved for publication by the CCQM, according to the provisions of the CIPM Mutual Recognition Arrangement (CIPM MRA).

PURPOSE To report on the use of human amniotic membrane (hAM) for macular holes at two Canadian tertiary care centres. DESIGN Retrospective cohort study. SUBJECTS 22 patients with persistent or chronic macular holes. METHODS Macular hole surgery was performed by three vitreoretinal surgeons. MAIN OUTCOMES Macular hole closure with complete plugging by hAM on SD-OCT. RESULTS The closure rate was 91% (20/22, median follow-up 7 months) with no statistically significant visual acuity change overall. Complications included subretinal silicone oil (5%), choroidal neovascularization (5%), atrophy (5%), and cystoid macular edema (9%). CONCLUSIONS Anatomical success with limited visual recovery was observed.

At present, the potential role of the AgNPs/endo-fullerene molecule metal nano-composite has been evaluated over the biosystems in-vitro. The intra-atomic configuration of the fullerene molecule (C60) has been studied in-vitro for the anti-proliferative activity of human breast adenocarcinoma (MDA-MB-231) cell lines and antimicrobial activity against a few human pathogens that have been augmented with the pristine surface plasmonic electrons and antibiotic activity of AgNPs. Furthermore, FTIR revealed the basic vibrational signatures at ~3300 cm−1, 1023 cm−1, 1400 cm−1 for O-H, C-O, and C-H groups, respectively, for the carbon and oxygen atoms of the C60 molecule. NMR studies exhibited the different footprints and magnetic moments at ~7.285 ppm, explaining the unique underlying electrochemical attributes of the fullerene molecule. Such unique electronic and physico-chemical properties of the caged carbon structure raise hope for applications into the drug delivery domain. The in-vitro dose-dependent application of C60 elicits a toxic response against both the breast adenocarcinoma cell lines and pathogenic microbes. That enables the use of AgNPs decorated C60 endo fullerene molecules to design an effective anti-cancerous drug delivery and antimicrobial agent in the future, bringing a revolutionary change in the perspective of a treatment regime.

Population‐level measures of seropositivity are critical for understanding the epidemiology of an emerging pathogen, yet most antibody tests apply a strict cutoff for seropositivity that is not learnt in a data‐driven manner, leading to uncertainty when classifying low‐titer responses. To improve upon this, we evaluated cutoff‐independent methods for their ability to assign likelihood of SARS‐CoV‐2 seropositivity to individual samples.

Introduction: Serum creatinine is not enough sensitive marker for the evaluation of glomerular filtration rate (GFR). Cockcroft-Gault (CG) formula is often used to assess GFR, but it is necessary to correct original one for body surface area (BSA), adipositas, and the creatinine tubular secretion. The values of the estimated creatinine clearance and GFR are considered to Poggio reference ones according to biological parameters (age and gender). The aim of the study was to determine the difference in renal function estimation between serum creatinine and corrected CG equation according to the Poggio reference values in the arterial hypertension patients. Materials and Methods: The research included 124 patients of both gender with arterial hypertension, excluding ones with the already verified chronic kidney disease. We estimated creatinine clearance and GFR by CG method corrected for the BSA, body mass index (BMI), and the creatinine tubular secretion according to Poggio reference values. Results: There was no significant difference in both age and gender groups among patients with physiological and pathological values of the renal function determined by the serum creatinine and estimated creatinine clearance by CG equation corrected for BMI, BSA. In both age and gender groups there was significant difference among subjects with physiological and pathological values of the renal function determined by serum creatinine and estimated GFR by CG method corrected for BMI, BSA, and creatinine tubular secretion. Conclusion: There is the most striking difference in the assessment of renal function between serum creatinine and estimated GFR by CG method with three corrections (BSA, BMI, the creatinine tubular secretion). Estimated GFR by CG method with three corrections can help in the early diagnosis of renal dysfunction and optimal treatment in patients with arterial hypertension.

Achromobacter xylosoxidans is an aerobic, Gram-negative rod with a broad intrinsic and acquired antimicrobial resistance, usually isolated in patients with cystic fibrosis (CF), immunodeficiencies, or those undergoing invasive procedures. We report a case of a previously healthy 14-year-old girl who was hospitalized in our institution due to a prolonged, progressive cough and exertional dyspnea, which started after a mild viral respiratory tract infection. To elucidate the cause of her symptoms, a bronchoscopy was finally performed, showing bilateral purulent bronchitis caused by A. xylosoxidans, isolated from bronchoalveolar lavage (BAL) sample. Since the patient had positive serological testing for coronavirus disease 2019 (COVID-19), we concluded that it was the initial viral infection, although of a mild clinical course, the one that created favorable conditions for proliferation and further inflammation caused by A. xylosoxidans.

The importance of applying cooperative learning and aiming toward an increase in motivation to maximize the effectiveness of the learning process has not sparked an intense research interest in the Bosnian EFL context. Thus, the current study, conducted among 211 high-school participants, explores the impact of gender and grade level on students’ cooperative learning and motivation for EFL learning and aims to determine whether any cooperative learning components are significant predictors of students’ motivation and their EFL achievement. The findings showed no significant gender and grade level differences in cooperative learning and motivation. Additionally, the results revealed that individual accountability and interpersonal skills are significant predictors of participants’ motivation and that promotive interaction and interpersonal skills are significant predictors of their EFL achievement. The research points to the importance of incorporating cooperative learning strategies and motivation-strengthening activities into EFL teaching, which will eventually lead to the improvement in students’ EFL achievements.