Morpho-molecular analyses and scanning electron microscopy reveal two new species of genus Lactarius from the northwestern Himalaya, India.

One of the largest subgenera of the genus Lactarius, Lactarius subg. Russularia is abundant in the forests of the Himalayas. This article proposes Lactarius crassostipes sp. nov. and Lactarius flavocorpus sp. nov. under the L. subgenus Russularia. It includes comprehensive macro- and micro-morphological descriptions, scanning electron microscopy (SEM) micrographs, drawings, and comparisons with related species. The taxa's novelty is validated using phylogenetic analyses based on nrITS. RESEARCH HIGHLIGHTS: SEM and subsequent nrITS-based molecular phylogeny revealed two novel species (L. crassostipes and L. flavocorpus) of the genus Lactarius subg. Russularia. To further characterize the size, form, and ornamentation of these novel species' basidiospores, SEM analysis is an additional tool. In L. crassostipes "crasso" means thick and "stipes" indicates stipe. In contrast to L. flavocorpus, where "flavocorpus" refers to the golden yellow fruiting body, the name alludes to its unique thick stipe. L. crassostipes sp. nov. and L. flavocorpus sp. nov have been collected from the coniferous and broad-leaved forests of Union Territory of Jammu and Kashmir, India, respectively. The diagnostic characteristics, habit, habitat, and similarities to related species are given.

Classification of LAMOST spectra of B-type and hot subdwarf stars using kernel support vector machine.

Machine learning has emerged as a leading field in artificial intelligence, demonstrating expert-level performance in various domains. Astronomy has benefited from machine learning techniques, particularly in classifying and identifying stars based on their features. This study focuses on the spectra-based classification of 11,408 B-type and 2422 hot subdwarf stars. The study employs baseline correction using Asymmetric Least Squares (ALS) to enhance classification accuracy. It applies the Pan-Core concept to identify 500 unique patterns or ranges for both types of stars. These patterns are the foundation for creating Support Vector Machine (SVM) models, including the linear (L-SVM), polynomial (P-SVM), and radial basis (R-SVM) kernels. Parameter tuning for the SVM models is achieved through cross-validation. Evaluation of the SVM models on test data reveals that the linear kernel SVM achieves the highest accuracy (87.0%), surpassing the polynomial kernel SVM (84.1%) and radial kernel SVM (80.1%). The average calibrated accuracy falls within the range of 90-95%. These results demonstrate the potential of using spectrum-based classification to aid astronomers in improving and expanding their understanding of stars, with a specific focus on the identification of hot subdwarf stars. This study presents a valuable investigation for astronomers, as it enables the classification of stars based on their spectra, leveraging machine learning techniques to enhance their knowledge and insights in astronomy.

Effect of fenugreek and flaxseed polysaccharide-based edible coatings on the quality attributes and shelf life of apple fruit during storage.

The present study was designed to explore the potential of fenugreek and flaxseed polysaccharide-based edible coatings to enhance the postharvest storage life of apple fruit. The experimental plan involved the preparation of five different coating formulations, which were subsequently applied to the fruit. The coated fruit was then stored at a temperature of 25 ± 2°C for a duration of 35 days. The effects of these coatings on physicochemical and biochemical attributes (weight loss, firmness, acidity, pH, sugar content, antioxidant activity, microbial growth, and sensory properties) of coated and uncoated samples were evaluated at regular intervals: 0, 7, 14, 21, 28, and 35 days of storage. The experimental results revealed a significant difference (p ≤ .05) in the physicochemical parameters of uncoated and coated apple at different storage times. The coated apple fruits showed significantly (p ≤ .05) lower weight loss, pH, total sugars, total soluble solids, and maximum retention of ascorbic acid, firmness, acidity, and antioxidant contents, leading to enhanced organoleptic properties. The application of edible coatings extended the shelf-life of the apples by inhibiting microbiological spoilage without substantial impact on sensory and nutritional properties. Based on these results, it is concluded that the edible coating formulation labeled T 1 (containing 2.5 g fenugreek polysaccharide and 1.5 g flax polysaccharide) effectively preserved the valuable physicochemical and organoleptic characteristics of the apple fruit throughout the storage period.

Evaluation of point-of-care ultrasound training among healthcare providers: a pilot study.

BACKGROUND: The use of Point-of-Care Ultrasound (POCUS) has become prevalent across a variety of clinical settings. Many healthcare professionals have started getting hands-on training. To evaluate the effectiveness of such training programs, this study aimed to assess a 4 day POCUS training course on healthcare providers' skills and knowledge acquisition. A secondary objective of this study is to gain valuable insights into the degree of perception, attitude, interest levels and perceived barriers of medical providers performing POCUS. METHODS: This is a prospective cohort study performed on healthcare providers in an integrated healthcare facility in Abu Dhabi undergoing the POCUS training course in February 2022. Course participants took a pre-course survey to evaluate their baseline knowledge, skills, confidence, perception, and interest in POCUS. The same survey was repeated immediately post-course. In total, seven healthcare professionals responded to the survey with a response rate of 53.8%. All data and information gathered were used to understand the effectiveness of POCUS training and gain insights into the degree of perception, interest and preparedness of POCUS among healthcare professionals in practice. RESULTS: Our results demonstrated that the brief POCUS course was effective in improving POCUS skills, knowledge and confidence amongst in-practice healthcare providers from varying medical specialties. The median skill score increased from 25% pre-course to 50% post-course. There is a notable increase in all skills scores after the POCUS training course with the greatest change in scores seen for adjusting 'gain and depth of image (54.84%), assessing VeXUS score (52.38%) and evaluating lung congestion (50%). The study also provided valuable insights into the perception, attitude, interest and potential barriers of POCUS implementation. Although significant barriers to POCUS are present including the lack of POCUS curriculum, what is challenging is lack of expertise and skills to perform POCUS. Therefore, medical providers must acquire prespecified skills to fully utilize POCUS effectively. CONCLUSION: The study confirmed the effectiveness of short POCUS training in improving the skills, knowledge and confidence of medical providers in practice. Healthcare professionals can master POCUS skills and techniques and gain confidence through brief training courses.

A discovery of potent kaempferol derivatives as multi-target medicines against diabetes as well as bacterial infections: an in silico approach.

Flavonoids demonstrate beneficial effects on human health because flavonoids contain important biological properties. Kaempferol is a flavonol, type of flavonoid found in eatable plants and in plants usually employed in ancient drugs (Moringa oleifera, Tilia spp., fern genus spp. and gingko etc.). Some medicinal studies have shown that the use of foods full of kaempferol decreases the risk of many (cancer, vascular) diseases. All the data of 50 kaempferol derivatives were collected from PubChem database. Through Schrödinger software, 3D-QSAR study was performed for 50 compounds by using method of field base. Conformer of kaempferol derivatives was docked against anti-diabetic, anti-microbial co-crystal structures and protein. To monitor the best anti-diabetic and antibacterial agent, particular kaempferol derivatives were downloaded from PubChem database. Virtual screening by molecular docking provided four lead compounds with four different proteins. These hit compounds were found to be potent inhibitor for diabetic enzymes alpha-amylase and DPP IV and had the potential to suppress DNA gyrase and dihydrofolate reductase synthesis. Molecular dynamic simulation of docked complexes evaluates the value of root mean square fluctuation by iMOD server. Kaempferol 3-O-alpha-L-(2, 3-di-Z-p-coumaroyl) rhamnoside (42) compound used as anti-diabetic and kaempferol 3-O-gentiobioside (3) as antibacterial with good results can be used for drug discovery.Communicated by Ramaswamy H. Sarma.

Barriers Preventing Medical Trainees from Active Participation in Research Activities.

Background: Research has increasingly become important to career progression and a compulsory component in most medical programs. While medical trainees are consistently urged to undertake research endeavors, they frequently encounter obstacles at both personal and organizational levels that impede the pursuit of high-quality research. This study aims to identify the barriers and recommend successful interventions to increase research productivity amongst medical trainees. Methods: A descriptive cross-sectional survey was carried out among interns, residents, and fellows within a single hospital located in the emirate of Abu Dhabi, UAE. The survey included inquiries regarding perceived obstacles hindering engagement in research activities, factors driving motivation for research involvement, and the assessment of how research participation relates to their job in terms of relevance. Results: Fifty-seven medical trainees participated in the survey, reflecting a response rate of 53%. The survey highlighted common obstacles, notably including time constraints, insufficient statistical and methodology training, the weight of other educational commitments, as well as inadequate incentives and rewards. While a majority of participants expressed interest in engaging in research activities, the consensus was that more incentives and increased funding opportunities would significantly encourage their involvement. Conclusion: Implementing successful interventions such as allocating dedicated time for research, facilitating access to research mentors, and organizing training sessions have the potential to be effective strategies in fostering a thriving research culture and subsequently elevating research productivity of medical trainees.

Therapeutic potential and bioactive phenolics of locally grown Pakistani and Chinese varieties of ginger in relation to extraction solvents

Abstract Current study compares the Therapeutic/nutra-pharmaceuticals potential and phenolics profile of Pakistani grown Pakistani and Chinese varieties of ginger. Crude yield of bioactive components from the varieties tested, using different extraction solvents including chloroform, ethyl acetate, ether, methanol, ethanol and distilled water. The crude bioactives varied from 14.1-82.5%. The highest extraction yield was noted for Pakistani species. The HPLC analysis revalued significant amounts of phenolics including vanillin, protocatechuic, vanillic, ferulic, sinapinic and cinnamic acids. The highest anti-inflammatory activity was shown by ethanolic extract of Pakistani variety (IC50: 26.5±1.8) whereas Chinese variety exhibited potent anticancer potential against MCF-7 cell line (Inhibition: 91.38 %). The Chinese variety in general showed higher phenolics and anticancer, while the Pakistani exhibited higher anti-inflammatory activity. Pakistani grown ginger and ethanolic extract of Chinese ginger showed highest antimicrobial activity against Pseudomonas aeruginosa 18.0±0.02 & 15.00±0.02 mm respectively. Minimum results obtained with water for both varieties of ginger with range of 7.2±0.22 and 6±0.07 respectively. Moreover, the phenolics composition, anti-inflammatory, antibacterial and anticancer activities of both tested varieties of ginger were notably affected as a function of extraction solvents. Our findings advocate selection of appropriate solvent for recovery of effective phenolic bioactive compounds from ginger verities to support the Nutra-pharmaceutical formulation.