Empowering Medical Education: Unveiling the Impact of Reflective Writing and Tailored Assessment on Deep Learning.

Introduction: Reflective thinking offers learners insight and encourages deeper understanding by leveraging past experiences. This study explores the impact of reflective writing, a self-assessment tool, on undergraduate medical students. The focus is on training students using author-specific reflection rubrics based on Moon's model. Methods: A mixed-methods study involving 32 volunteered students undertaking an interactive 3-hour session on reflective thinking and writing (RT&W). 19 students submitted reflections, which were self-graded by students and two faculties independently. The perceptions of students were gathered through questionnaires and focus group discussions. The analysis was done using the mean, inter-class correlational coefficient, and thematic analysis. Results: Inter-rater reliability and inter-class correlation coefficient for reflective writing rubric scores was 63.2%, i.e. below the acceptable threshold. Cronbach's Alpha for the learner perception questionnaire was 0.90. The outcome of the student's perception questionnaire recognized the value of reflective writing in terms of professional skills enhancement (4.83±0.39) and improvement after feedback (4.17±0.72). However, satisfaction with overall training was comparatively lower (2.5±0.52). Focus group discussions revealed six themes. Conclusion: Reflective writing enhances the learning outcomes, deepens understanding, and refines judgment. The author-specific reflection rubric, though reliable, warrants empirical validation with a larger and more diverse participant pool. Undergraduate programs should prioritize mastery of reflection and meta-cognitive learning approaches to optimize educational outcomes.

A sustainable bioprocess technology for producing food-flavour (+)-γ-decalactone from castor oil-derived ricinoleic acid using enzymatic activity of Candida parapsilosis: Scale-up optimization and purification using novel composite.

Ricinoleic acid (RA) from castor oil was employed in biotransformation of peach-flavoured γ-decalactone (GDL), using a Candida parapsilosis strain (MTCC13027) which was isolated from waste of pineapple crown base. Using four variables-pH, cell density, amount of RA, and temperature-the biotransformation parameters were optimized using RSM and BBD. Under optimized conditions (pH 6, 10 % of microbial cells, 10 g/L RA at 28°C), the conversion was maximum and resulted to 80 % (+)-GDL (4.4 g/L/120 h) yield in shake flask (500 mL). Furthermore, optimization was achieved by adjusting the aeration and agitation parameters in a 3 L bioreactor, which were then replicated in a 10 L bioreactor to accurately determine the amount of (+)-GDL. In bioreactor condition, 4.7 g/L (>85 %) of (+)-GDL is produced with 20 % and 40 % dissolved oxygen (1.0 vvm) at 150 rpm in 72 h and 66 h, respectively. Further, a new Al-Mg-Ca-Si composite column-chromatography method is developed to purify enantiospecific (+)-GDL (99.9 %). This (+)-GDL is 100 % nature-identical as validated through 14C-radio-carbon dating. Thorough chemical investigation of enantiospecific (+)-GDL is authenticated for its use as flavour. This bioflavour has been developed through a cost-effective biotechnological process in response to the demand from the food industry on commercial scale.

Prevalence of multimorbidity and its associated risk factors among population of Mechinagar municipality of Nepal.

Background: Multimorbidity is a group of conditions, it has significant impact on the population as a whole, resulting in lower quality of life, higher mortality, frequent use of medical services, and consequently higher healthcare costs. The objective of this study is to document the prevalence of common multimorbidity and its associated risk factors among population of Mechinagar Municipality. Methods: Community-based cross-sectional study was conducted where selected multimorbidity were assessed in selected areas of Mechinagar municipality of Jhapa District . Systematic random sampling technique was used to select 590 adult participants from three pre-defined pocket areas. Pre-designed semi-structured multimorbidity assessment questionnaire for primary care (MAQ-PC)was used to assess prevalence of multimorbidity. Multiple logistic regression was conducted to identify the strongest determinants of multimorbidity. Results: The prevalence of multimorbidity was 22.4%.Hypertension, Diabetes mellitus and COPD was seen in 39.2%, 7.8.% and 4.4% of the participants respectively . Participants with advancing age i. e. 40-49yrs were 12.62 times (AOR) more likely to have multimorbidity compared to their counterparts who were 20-29yrs old( p=<0.01,CI3.01-15.28) after adjusting for occupation, physical activity and family history of kidney disease. Working individuals, Physical inactivity and positive family history of kidney disease were the strongest determinates of multimorbidity. Conclusions: The study revealed that participants with increasing age, working individuals, physical inactivity and family history of kidney disease were more vulnerable of having multimorbidity. The findings of our study indicate need of intervention strategies and community-based health promotion programs in reducing burden of chronic disease among adult population.

Role of tungsten disulfide quantum dots in specific protein-protein interactions at air-water interface.

The intriguing network of antibody-antigen (Ab-Ag) interactions is highly governed by environmental perturbations and the nature of biomolecular interaction. Protein-protein interactions (PPIs) have potential applications in developing protein-adsorption-based sensors and nano-scale materials. Therefore, characterizing PPIs in the presence of a nanomaterial at the molecular level becomes imperative. The present work involves the investigation of antiferritin-ferritin (Ab-Ag) protein interactions under the influence of tungsten disulfide quantum dots (WS2 QDs). Isothermal calorimetry and contact angle measurements validated the strong influence of WS2 QDs on Ab-Ag interactions. The interfacial signatures of nano-bio-interactions were evaluated using sum frequency generation vibration spectroscopy (SFG-VS) at the air-water interface. Our SFG results reveal a variation in the tilt angle of methyl groups by ∼12° ± 2° for the Ab-Ag system in the presence of WS2 QDs. The results illustrated an enhanced ordering of water molecules in the presence of QDs, which underpins the active role of interfacial water molecules during nano-bio-interactions. We have also witnessed a differential impact of QDs on Ab-Ag by raising the concentration of the Ab-Ag combination, which showcased an increased inter-molecular interaction among the Ab and Ag molecules and a minimal influence on the methyl tilt angle. These findings suggest the formation of stronger and ordered Ab-Ag complexes upon introducing WS2 QDs in the aqueous medium and signify the potentiality of WS2 QDs relevant to protein-based sensing assays.

Global identification of mRNA-interacting circular RNAs by CLiPPR-Seq.

Although the functional role of circular RNA (circRNA) interaction with microRNAs and proteins has been studied extensively, circRNA interactions with the protein-coding mRNAs in intact cells remain largely unknown. Here, by employing AMT-mediated proximity ligation of RNA-RNA duplexes followed by circRNA enrichment and deep sequencing, we report a novel Cross-Linking Poly(A) Pulldown RNase R Sequencing (CLiPPR-seq) technology which identified hundreds of mRNA-interacting circRNAs in three different cell types, including ßTC6, C2C12 and HeLa cells. Furthermore, CLiPP-seq without RNase R treatment was also performed to identify the mRNA expression in these cells. BLAST analysis of circRNAs in CLiPPR-seq sample with the mRNAs in CLiPP-seq samples determined their potential complementary sequences for circRNA-mRNA interaction. Pulldown of circRNAs and poly(A) RNAs confirmed the direct interaction of circRNAs with target mRNAs. Silencing of mRNA-interacting circRNAs led to the altered expression of target mRNAs in ßTC6 cells, suggesting the role of direct interaction of circRNAs with mRNAs in gene expression regulation. CLiPPR-seq thus represents a novel method for illuminating the myriad of uncharacterized circRNA-mRNA hybrids that may regulate gene expression.

Sanger Sequencing to Determine the Full-Length Sequence of Circular RNAs.

The pre-existing theory of pre-mRNA splicing into linear mature RNA was questioned with the introduction of circular RNAs (circRNAs). Hundreds of studies using high throughput RNA-sequencing (RNA-seq) techniques and novel computational programs reported the abundant and ubiquitous expression of circRNAs originating by pre-mRNA backsplicing. CircRNAs are mostly involved in gene expression by regulating functions of interacting microRNAs (miRNAs) and RNA-binding proteins (RBPs) or translating into functional polypeptides. Although all circRNA annotation tools identify circRNAs based on the backsplice junction (BSJ) sequences, only a few identify the internal sequences of circRNAs. However, the full-length sequence of circRNAs from RNA-seq data could be error-prone due to its similarity with the counterpart linear RNA. Since circRNA function depends on the mature sequence, validation of the mature sequence is the prerequisite for their further characterization. In this chapter, we discuss the validation of circRNA BSJ sequence by RT-PCR using divergent primer followed by Sanger sequencing. Furthermore, we describe the circRNA-rolling circle amplification (circRNA-RCA; circRNA enrichment by RNase R treatment, full-length cDNA synthesis, rolling circle PCR amplification using full-length primers, and Sanger sequencing of the PCR product) to validate the mature splice sequence of circRNAs. This chapter highlights the basic guidelines for designing divergent and full-length primers for PCR amplification and Sanger sequencing to validate circRNA sequences.