Search

This study investigated the effects of work from home (WFH) on language educators in Malaysian universities gauging specifically their perceptions on its advantages and disadvantages during the COVID-19 pandemic. A mixed-methods research design was employed involving 152 language educators. The results revealed that although the overall mean scores were rather neutral, language educators were more inclined toward positive effects of WFH, most notably in terms of saving communing time and being closer to family. However, the negative effects were missing colleagues and feeling glued to the computer. The results also shed interesting insights into Malaysian language educators' high confidence in focusing on their tasks and using tools to fulfill their teaching and work-related responsibilities. The outcome from this study is a guiding model that not only informs the literature on the feasibility of WFH in the higher education context but also highlights pertinent areas of concern for its future planning and implementation.

The emergence of antibiotic-resistant bacteria (ARB) has necessitated the development of alternative therapies to deal with this global threat. Bacteriophages (viruses that target bacteria) that kill ARB are one such alternative. Although phages have been used clinically for decades with inconsistent results, a number of recent advances in phage selection, propagation, and purification have enabled a reevaluation of their utility in contemporary clinical medicine. In most phage therapy cases, phages are administered in combination with antibiotics to ensure that patients receive the standard-of-care treatment. Some phages may work cooperatively with antibiotics to eradicate ARB, as often determined using non-standardized broth assays. We sought to develop a solid media-based assay to assess cooperativity between antibiotics and phages to offer a standardized platform for such testing. We modeled the interactions that occur between antibiotics and phages on solid medium to measure additive, antagonistic, and synergistic interactions. We then tested the method using different bacterial isolates and identified a number of isolates where synergistic interactions were identified. These interactions were not dependent on the specific organism, phage family, or antibiotic used. A priori susceptibility to the antibiotic or the specific phage were not requirements to observe synergistic interactions. Our data also confirm the potential for the restoration of vancomycin to treat vancomycin-resistant Enterococcus (VRE) when used in combination with phages. Solid media assays for the detection of cooperative interactions between antibiotics and phages can be an accessible technique adopted by clinical laboratories to evaluate antibiotic and phage choices in phage therapy.IMPORTANCEBacteriophages have become an important alternative treatment for individuals with life-threatening antibiotic-resistant bacteria (ARB) infections. Because antibiotics represent the standard-of-care for treatment of ARB, antibiotics and phages often are delivered together without evidence that they work cooperatively. Testing for cooperativity can be difficult due to the equipment necessary and a lack of standardized means for performing the testing in liquid medium. We developed an assay using solid medium to identify interactions between antibiotics and phages for gram-positive and gram-negative bacteria. We modeled the interactions between antibiotics and phages on solid medium, and then tested multiple replicates of vancomycin-resistant Enterococcus (VRE) and Stenotrophomonas in the assay. For each organism, we identified synergy between different phage and antibiotic combinations. The development of this solid media assay for assessing synergy between phages and antibiotics will better inform the use of these combinations in the treatment of ARB infections.

Outward differences between cultures are very salient, with Western and East Asian cultures as a prominent comparison pair. A large literature describes cross-cultural variation in cognition, but relatively less research has explored the developmental origins of this variation. This study helps to fill the empirical gap by replicating four prominent findings documenting cross-cultural differences in children's reasoning, visual attention, and social cognition in a cross-sectional sample of 240 3-12-year-olds from the US and China. We observe cross-cultural differences in three of the four tasks and describe the distinct developmental trajectory that each task follows throughout early and middle childhood.

Abstract Background Surgical site infection (SSI) is a very common complication of emergency laparotomy and causes significant morbidity. The PICO◊ device delivers negative pressure wound therapy (NPWT) to closed incisions, with some studies suggesting a role for prevention of SSI in heterogenous surgical populations. We aimed to compare SSI rates between patients receiving PICO◊ versus conventional dressing post-emergency laparotomy. Secondary objectives were to observe seroma and dehiscence rates, length of stay, days on dressing and patients’ wound experience. Methods This double blinded randomized controlled trial was conducted in University Malaya Medical Centre between October 2019 and March 2022. Patients undergoing emergency laparotomy requiring incisions less than 35 cm were included. Statistical analysis was performed using χ2 test for categorical variables, independent T-test or Mann–Whitney U were used for parametric or non-parametric data respectively besides logistic regression. P values of

Abstract Structural variants (SVs) are significant contributors to inter-individual genetic variation associated with traits and diseases. Current SV studies using whole-genome sequencing (WGS) have a largely Eurocentric composition, with little known about SV diversity in other ancestries, particularly from Asia. Here, we present a WGS catalogue of 73,035 SVs from 8392 Singaporeans of East Asian, Southeast Asian and South Asian ancestries, of which ~65% (47,770 SVs) are novel. We show that Asian populations can be stratified by their global SV patterns and identified 42,239 novel SVs that are specific to Asian populations. 52% of these novel SVs are restricted to one of the three major ancestry groups studied (Indian, Chinese or Malay). We uncovered SVs affecting major clinically actionable loci. Lastly, by identifying SVs in linkage disequilibrium with single-nucleotide variants, we demonstrate the utility of our SV catalogue in the fine-mapping of Asian GWAS variants and identification of potential causative variants. These results augment our knowledge of structural variation across human populations, thereby reducing current ancestry biases in global references of genetic variation afflicting equity, diversity and inclusion in genetic research.

Abstract Covalent organic frameworks designed as chromatic sensors offer opportunities to probe biological interfaces, particularly when combined with biocompatible matrices. Particularly compelling is the prospect of chemical tomography – or the 3D spatial mapping of chemical detail within the complex environment of living systems. Herein, we demonstrate a chromic Covalent Organic Framework (COF) integrated within silk fibroin (SF) microneedles that probe plant vasculature, sense the alkalization of vascular fluid as a biomarker for drought stress, and provide a 3D in-vivo mapping of chemical gradients using smartphone technology. A series of Schiff base COFs with tunable pKa ranging from 5.6 to 7.6 enable conical, optically transparent SF microneedles with COF coatings of 120 to 950 nm to probe vascular fluid and the surrounding tissues of tobacco and tomato plants. The conical design allows for 3D mapping of the chemical environment (such as pH) at standoff distances from the plant, enabling in-vivo chemical tomography. Chromatic COF sensors of this type will enable multidimensional chemical mapping of previously inaccessible and complex environments.

Embedding environmental concepts in the minds of young students within a traditional classroom setting poses challenges due to the abstract nature of these concepts and the temporal dilemma associated with environmental change, as students are unable to observe the immediate consequences of their actions directly. To address this, innovative instructional methods incorporating technology were explored. Based on socio-constructivism, a quasi-experimental study employed a web tool to teach environmental concepts. The experimental group utilized the 7E constructivist learning model, while the control group followed traditional instruction. The results of the data analysis indicated a statistically significant disparity in students' motivation levels to learn about environmental challenges, with active learning strategies receiving the highest scores due to engaging students in online discussions and collaborative tasks. The active and constructive learning techniques encouraged collaboration and cooperation and also embraced the students' autonomy. Furthermore, students felt motivated to act and solve community issues, fostering civic responsibility for long-term growth and a sustainable future. The learning performance in the posttest significantly increased for the experimental group. These findings suggest the importance of integrating technology and active learning approaches to enhance environmental education among young students.

Abstract Background Significant challenges are arising around how to best enable peer communities, broaden educational reach, and innovate in pedagogy. While digital education can address these challenges, digital elements alone do not guarantee effective learning. This study reports a blended learning approach integrating online and face-to-face components, guided by the Student Approaches to Learning framework. Methods This study was carried out investigating learning in first and second year medical students over two academic years, 2019/20 and 2020/21. We evaluated: (1) comparison of students engaged with blended learning and traditional learning; and (2) student learning engaged with blended learning approach over a two-year preclinical curriculum. A revised two-factor study process questionnaire (R-SPQ-2F) evaluated students’ surface/deep learning before and after an academic year. Learning experience (LE) questionnaire was administered over the domains of learning engagement, and outcomes of learning approach. In-depth interviews were carried out to understand the context of students’ responses to the R-SPQ-2F and LE questionnaires. Results The R-SPQ-2F analysis indicated first year students maintained deep learning but second year students became neutral across the academic year, regardless of learning approach, with workload contributing to this outcome. R-SPQ-2F sub-scales showed that students engaged with blended learning maintained an intrinsic interest to learning, as compared to traditional learning which led to surface learning motives. The LE questionnaire showed students engaged with blended learning had deeper subject interest, and more positive perceptions of workload, feedback, and effectively developed skills and knowledge. However, peer interactions from blended learning were significantly lacking. In-depth interviews revealed that the flexibility and multi-modality of blended learning enabled learning, but the best use of these features require teacher support. Online interactions could be cultivated through intentional institutional efforts. Conclusions This study highlights the importance of designing blended learning that leverages technology-enabled flexibility while prioritising collaborative, learner-centred spaces for deep engagement and knowledge construction.

Abstract Non-small cell lung cancer (NSCLC) remains a significant challenge, as it is one of the leading causes of cancer-related deaths, and the development of resistance to anticancer therapy makes it difficult to treat. In this study, we investigated the anticancer mechanism of deoxybouvardin (DB), a cyclic hexapeptide, in gefitinib (GEF)-sensitive and -resistant NSCLC HCC827 cells. DB inhibited the viability and growth of HCC827 cells in a concentration- and time-dependent manner. In vitro kinase assay showed DB inhibited epidermal growth factor receptor (EGFR), mesenchymal–epithelial transition (MET), and AKT, and their phosphorylation was suppressed in HCC827 cells treated with DB. A molecular docking model suggested that DB interacts with these kinases in the ATP-binding pockets. DB induces ROS generation and cell cycle arrest. DB treatment of HCC827 cells leads to mitochondrial membrane depolarization. The induction of apoptosis through caspase activation was confirmed by Z-VAD-FMK treatment. Taken together, DB inhibited the growth of both GEF-sensitive and GEF-resistant NSCLC cells by targeting EGFR, MET, and AKT and inducing ROS generation and caspase activation. Further studies on DB can improve the treatment of chemotherapy-resistant NSCLC through the development of effective DB-based anticancer agents.

Objectives: A successful liver transplantation requires hepatic artery inflow reconstitution. In living donor liver transplantation, there are additional challenges in the form of a short and small-caliber donor vessel stump, exacerbating the challenges of microsurgery. Meanwhile, in deceased donor liver transplantation, vessel diameter mismatch remains a potential challenge since the liver graft is procured with a long segment of the celiac axis with branches of differing calibers. Other challenges include the poor condition of the recipient vessels due to previous trans-arterial chemoembolization or radiofrequency ablation. We present an illustrated report of our anastomosis technique utilizing a “flange-joint” to increase the luminal diameter of the recipient vessel while minimizing the risk of vessel wall separation. Methods: Ten patients had hepatic reconstruction with our “flange-joint” anastomosis technique. The indications for this technique were poor vessel quality with fibrosis and/or previous trans-arterial chemoembolization (n = 5) and vessel size mismatch (n = 5). Results: All patients had successful reconstitution of hepatic arterial inflow. The average post-operative resistive index was 0.66 [0.52-0.79]. The average follow-up was 11.7 months [1-27] with no biliary complications. Conclusions: We propose that the distal tied-off branches of the recipient artery be splayed open to provide an expanded vessel end. This allows for increased flexibility in tailoring the vessel end to match the caliber of the donor artery, thereby overcoming vessel caliber mismatch.

Not available.

IntroductionBreeding programs have developed high-yielding Coffea arabica F1-hybrids as an adaptation against adverse conditions associated with climate change. However, theresponse to drought of coffee F1 hybrids has seldom been assessed.MethodsA trial was established with five C. arabica genotypes (2 pure lines: Catimor and Marsellesa and 3 F1 hybrids: Starmaya, Centroamericano and Mundo Maya) planted under the leguminous tree species Leuceana leucocephala. Coffee growth, yield and physiological responses were assessed under a rain-fed (control: CON) and a rainfall reduction treatment (RR) for 2 years.ResultsThe RR treatment created a long-term rainfall deficit in a region with suboptimal temperature similar to those predicted by climate change scenarios. Moreover, the RR treatment reduced soil water content by 14% over 2 successive years of production and increased hydric stress of the three F1-hybrids (leaf water potentials averaged -0.8 MPa under RR compared with -0.4 MPa under CON). Under RR, coffee yields were reduced from 16 to 75% compared to CON. Mundo Maya F1 hybrid was the sole high-yielding genotype apable of sustaining its yield under RR conditions. Our results suggested that its significant increase in fine root density (CON = 300 and RR = 910 root.m-2) and its maintenance of photosynthetic rate (2.5 – 3.5 mmol CO2 m-2 s-1) at high evaporative demand might explain why this genotype maintained high yield under RR condition.DiscussionThis work highlights a possible drought tolerance mechanism in fruit bearing adult coffee trees where the plant fine root number increases to intake more water in order to preserve turgor and sustainphotosynthesis at high ETo and therefore conserves high yield in dry conditions.

Joshua Bronte,1 Crystal Zhou,1 Abhinav Vempati,1 Curtis Tam,2 Jeffrey Khong,3 Sanam Hazany,1 Salar Hazany1 1Department of Research, Scar Healing Institute, Los Angeles, CA, USA; 2Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA; 3Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USACorrespondence: Joshua Bronte, Scar Healing Institute, Los Angeles, CA, USA, Tel +1 424 225 2453, Email info@shi.orgAbstract: Hypertrophic and keloid scars are fibroproliferative growths resulting from aberrant wound healing. Individuals with Fitzpatrick skin types (FSTs) IV–VI are particularly predisposed to hypertrophic and keloid scarring, yet specific guidelines for these populations are still lacking within the literature. Therefore, this comprehensive review provides a list of various treatments and considerations for hypertrophic and keloid scarring in patients with skin of color. We constructed a comprehensive PubMed search term and performed quadruple-blinded screening on all resulting studies to achieve this objective. Our findings demonstrate 1) the lack of efficacious treatments for raised scars within this population and 2) the need to empirically investigate individualized and multimodal therapeutic options for those with skin of color.Keywords: corticosteroid, bleomycin, 5-FU, laser, FST IV-VI, skin of color

Abstract Background Single-cell RNA sequencing (sc-RNASeq) data illuminate transcriptomic heterogeneity but also possess a high level of noise, abundant missing entries and sometimes inadequate or no cell type annotations at all. Bulk-level gene expression data lack direct information of cell population composition but are more robust and complete and often better annotated. We propose a modeling framework to integrate bulk-level and single-cell RNASeq data to address the deficiencies and leverage the mutual strengths of each type of data and enable a more comprehensive inference of their transcriptomic heterogeneity. Contrary to the standard approaches of factorizing the bulk-level data with one algorithm and (for some methods) treating single-cell RNASeq data as references to decompose bulk-level data, we employed multiple deconvolution algorithms to factorize the bulk-level data, constructed the probabilistic graphical models of cell-level gene expressions from the decomposition outcomes, and compared the log-likelihood scores of these models in single-cell data. We term this framework backward deconvolution as inference operates from coarse-grained bulk-level data to fine-grained single-cell data. As the abundant missing entries in sc-RNASeq data have a significant effect on log-likelihood scores, we also developed a criterion for inclusion or exclusion of zero entries in log-likelihood score computation. Results We selected nine deconvolution algorithms and validated backward deconvolution in five datasets. In the in-silico mixtures of mouse sc-RNASeq data, the log-likelihood scores of the deconvolution algorithms were strongly anticorrelated with their errors of mixture coefficients and cell type specific gene expression signatures. In the true bulk-level mouse data, the sample mixture coefficients were unknown but the log-likelihood scores were strongly correlated with accuracy rates of inferred cell types. In the data of autism spectrum disorder (ASD) and normal controls, we found that ASD brains possessed higher fractions of astrocytes and lower fractions of NRGN-expressing neurons than normal controls. In datasets of breast cancer and low-grade gliomas (LGG), we compared the log-likelihood scores of three simple hypotheses about the gene expression patterns of the cell types underlying the tumor subtypes. The model that tumors of each subtype were dominated by one cell type persistently outperformed an alternative model that each cell type had elevated expression in one gene group and tumors were mixtures of those cell types. Superiority of the former model is also supported by comparing the real breast cancer sc-RNASeq clusters with those generated by simulated sc-RNASeq data. Conclusions The results indicate that backward deconvolution serves as a sensible model selection tool for deconvolution algorithms and facilitates discerning hypotheses about cell type compositions underlying heterogeneous specimens such as tumors.

Abstract Lead (Pb2+) toxification is a concerning, unaddressed global public health crisis that leads to 1 million deaths annually. Yet, public policies to address this issue have fallen short. This work harnesses the unique abilities of crown ethers, which selectively bind to specific ions. This study demonstrates the synergistic integration of highly-scalable silicon photonics, with crown ether amine conjugation via Fischer esterification in an environmentally-friendly fashion. This realizes an integrated photonic platform that enables the in-operando, highly-selective and quantitative detection of various ions. The development dispels the existing notion that Fischer esterification is restricted to organic compounds, facilitating the subsequent amine conjugation for various crown ethers. The presented platform is specifically engineered for selective Pb2+ detection, demonstrating a large dynamic detection range, and applicability to field samples. The compatibility of this platform with cost-effective manufacturing indicates the potential for pervasive implementation of the integrated photonic sensor technology to safeguard against societal Pb2+ poisoning.

Abstract Although there is a growing literature on the use of telepresence robots in institutional dementia care settings, limited research focused on the perspectives of frontline staff members who deliver dementia care. Our objective was to understand staff perspectives on using telepresence robots to support residents with dementia and their families. Guided by the Consolidated Framework for Implementation Research, we conducted four focus groups and 11 semi-structured interviews across four long-term care (LTC) homes and one hospital in Canada. We included 22 interdisciplinary staff members (e.g., registered nurses, social workers, occupational therapists, recreational therapists) to understand their experiences with telepresence robots. Thematic analysis identified three key themes: 1) Staff Training and Support; 2) Robot Features; 3) Environmental dynamics for Implementation. Our results underscore the imperative of structural support at micro-, meso- and macro-levels for staff in dementia care settings to effectively implement technology. This study contributes to future research and practice by elucidating factors facilitating staff involvement in technology research, integrating staff voices into technology implementation planning, and devising strategies to provide structural support to staff, care teams, and care homes.

Aeollanthus repens, native to East Africa, thrives in seasonally dry tropical biomes and boasts qualities ideal for both ornamental and ground cover purposes. However, despite its potential, its current resistance levels remain uncertain. Assessing its adaptability could offer valuable insights for its wider adoption and utilization. In this study, researchers employed 3-month-old cuttings of A. repens, subjecting them to six distinct environments by manipulating the temperature (25/20 °C and 35/30 °C) and soil moisture levels (100%, 20%, and 40%). Their leaf physiological and photosynthetic indices were assessed at intervals of 5, 10, and 15 days following exposure to stress. The findings unveiled that exposure to prolonged moisture, elevated temperatures, or a combination of both led to an increase in osmoregulatory substances in the leaves. This increase was accompanied by heightened enzyme activity and an increased intercellular carbon dioxide concentration, followed by a subsequent decline. Additionally, chlorophyll content, net photosynthetic rate, stomatal conductance, and transpiration rate exhibited a decreasing trend over time. Through a comprehensive assessment of stress tolerance utilizing a composite affiliation function value index, the study concluded that A. repens exhibits optimal growth in a certain high-temperature environments and demonstrates substantial resistance to waterlogging, drought, and simultaneous high-temperature stress. However, the resilience of A. repens appears to diminish under the compounded stresses of high temperature and drought.