Buckwheat is a highly nutritional pseudocereal with antioxidant potential. The aim of this study was to analyze the genetic variability of 21 varieties of common buckwheat (Fagopyrum esculentum Moench.) and 14 varieties of Tartary buckwheat (Fagopyrum tataricum Gaertn.) using microsatellite markers. By analyzing 21 SSR markers, an average of 11.6 alleles per locus were amplified and an average PIC value of 0.711 was determined. We determined the heterozygous status of the individuals and variability in the set using the SSR analysis on the basis of expected heterozygosity (He, 0.477), observed heterozygosity (Ho, 0.675), Shannon\'s index (I, 0.820), and fixation indices (FST, FIS, FIT). Based on the SSR analyses, the lower level of expected heterozygosity in the analyzed set of Tartary buckwheat genotypes was observed compared to common buckwheat. With the help of a hierarchical cluster analysis using the UPGMA algorithm, Structure analysis, and PCoA analysis for the SSR markers, we divided the buckwheat varieties in the dendrogram into two main clusters according to the species. The AMOVA analysis showed that genetic variability between the individuals prevails in the analyzed set. The SSR technique proved to be a suitable tool for the determination of intra- and inter-varietal genetic variability and for analysis of diversity.

\"Low-lying\" posterior communicating artery (PCoA) aneurysms require great attention in surgical clipping due to their distinct anatomical characteristics. In this study, we propose an easy method to immediately recognize \"low-lying\" PCoA aneurysms in neurosurgical practice. A total of 89 cases with \"low-lying\" PCoA aneurysms were retrospectively analyzed. All patients underwent preoperative digital subtraction angiography (DSA) examinations and microsurgical clipping. Cases were classified into the \"low-lying\" and regular groups based on intraoperative findings. The distance- and angle-relevant parameters that reflected the relative location of the aneurysms and tortuosity of the internal carotid artery were measured using 3D-DSA images. The data were sequentially integrated into a mathematical analysis to obtain the prediction model. Finally, we proposed a novel mathematical formula to preoperatively predict the existence of \"low-lying\" PCoA aneurysms with great accuracy. Neurosurgeons might benefit from this model, which enables them to directly identify \"low-lying\" PCoA aneurysms and make appropriate surgical decisions accordingly.

BACKGROUND: Genetic diversity, population structure, agro-morphological traits, and molecular characteristics, are crucial for either preserving genetic resources or developing new cultivars. Due to climate change, water availability for agricultural use is progressively diminishing. This study used 100 molecular markers (25 TRAP, 22 SRAP, 23 ISTR, and 30 SSR). Additionally, 15 morphological characteristics were utilized to evaluate the optimal agronomic traits of 12 different barley genotypes under arid conditions.
RESULTS: Substantial variations, ranging from significant to highly significant, were observed in the 15 agromorphological parameters evaluated among the 12 genotypes. The KSU-B101 barley genotype demonstrated superior performance in five specific traits: spike number per plant, 100-grain weight, spike number per square meter, harvest index, and grain yield. These results indicate its potential for achieving high yields in arid regions. The Sahrawy barley genotype exhibited the highest values across five parameters, namely leaf area, spike weight per plant, spike length, spike weight per square meter, and biological yield, making it a promising candidate for animal feed. The KSU-B105 genotype exhibited early maturity and a high grain count per spike, which reflects its early maturity and ability to produce a high number of grains per spike. This suggests its suitability for both animal feed and human food in arid areas. Based on marker data, the molecular study found that the similarity coefficients between the barley genotypes ranged from 0.48 to 0.80, with an average of 0.64. The dendrogram constructed from these data revealed three distinct clusters with a similarity coefficient of 0.80. Notably, the correlation between the dendrogram and its similarity matrix was high (0.903), indicating its accuracy in depicting the genetic relationships. The combined analysis revealed a moderate correlation between the morphological and molecular analysis, suggesting alignment between the two characterization methods.
CONCLUSIONS: The morphological and molecular analyses of the 12 barley genotypes in this study effectively revealed the varied genetic characteristics of their agro-performance in arid conditions. KSU-B101, Sahrawy, and KSU-B105 have emerged as promising candidates for different agricultural applications in arid regions. Further research on these genotypes could reveal their full potential for breeding programs.

BACKGROUND: A capstone course often serves as the final checkpoint of student readiness before the commencement of experiential training. The purpose of this study was to determine if the assessment components from the capstone course can serve as predictors of student performance during their Advanced Pharmacy Practice Experiences (APPEs).
METHODS: Student data was analyzed to observe the correlation between performance in the Pharmacy Curriculum Outcomes Assessment (PCOA), student performance in the capstone course, and the overall grade point average (GPA) earned during APPEs. Spearman rank correlation analysis, multiple linear regression, and Mann-Whitney U test were used for statistical analysis.
RESULTS: A statistically significant positive correlation was observed between the overall APPE GPA and students\' capstone course grade, top drug competency exam score, pharmacy calculation competency exam score, and PCOA exam score. A significant regression equation was obtained during the analysis: (F(5, 97) = 5.62, p < 0.001), with an R2 = 0.225 (adjusted R2 = 0.185). In the linear regression model, capstone GPA emerged as a significant predictor (β = 0.155; p = 0.019) of APPE GPA amongst the tested variables. Additionally, students scoring < 73% on the top drug competency exam in the capstone course or less than the reference group in the PCOA exam were found to have significantly lower GPA during their APPEs compared to other students.
CONCLUSIONS: Performance on the top drug competency exam and the PCOA exam can serve as potential predictors of success during APPEs.

Efforts to ensure success of pharmacy students in passing pharmacy standardized exams require substantial investments. Engaging students effectively can be a challenge when there are no consequences for non-participation or poor performance. This study examined how engagement reinforcement, including high-stake exam requirements, instructional strategies, and incentives, impacted student performance on the Pharmacy Curriculum Outcomes Assessment (PCOA).
PCOA scores, milestone exams, grade point averages (GPAs), and PCOA preparedness assessments for cohorts (Co) that received high-stakes exams, incentives, and preparation (Co2019, Co2020, and Co2021) was compared with those that did not receive these interventions (Co2017 and Co2018). Students\' perceptions regarding reinforcement, incentive, and preparedness were evaluated using an anonymous survey.
Analyzing data from 545 students over five years, mandated PCOA preparedness, high-stakes PCOA requirements, and incentives for Co2019, Co2020, and Co2021 improved scores by 11% to 18% compared to Co2017 and Co2018. This corresponded to a rise in performance from the 12th to 27th percentile for Co2017 and Co2018 to the 39th to 49th percentile for Co2019, Co2020, and Co2021. In these later cohorts, PCOA scores consistently correlated with the school\'s milestone exams and students\' cumulative GPAs (correlation coefficients 0.47-0.70, P < .001), while no such correlation was observed in Co2017 and Co2018. Faculty-led PCOA preparation yielded better results (48.2% in Co2020, 45.8% in Co2021) than self-learning (42% in Co2019). Students using faculty-prepared assessments reported increased confidence in biomedical and pharmaceutical sciences.
This study highlights the importance of high-stakes requirements, incentives, and thorough preparation in improving PCOA results.

Knowledge about the genetic diversity of the available common bean germplasm can help breeders properly direct the choice of genetic material in the breeding process. The aim of the present work was to estimate the usefulness of 10 RAPD and 10 SCoT markers in genetic diversity detection among 33 common bean genotypes. Both molecular marker systems were able to generate high levels of polymorphism in the genetic material, which was supported by the relatively high polymorphic information content (PIC) values observed for the used markers. The Diversity Detection Index (DDI) and Marker Index (MI) were used to compare the effectiveness of RAPD and SCoT markers. For both techniques, high values of MI and DDI were calculated, representing their effectivity. The SCoT markers showed higher values of the parameters used (MI = 7.474, DI = 2.265) than the RAPD markers (MI = 5.323, DDI = 1.612), indicating their higher efficiency in the detection of molecular variability. Three constructed dendrograms and PCoA plots were created using RAPD and SCoT, and both methods combined confirmed sufficient separation of the bean genotypes from each other. At the same time, a higher efficiency of SCoT markers compared to RAPD markers in the detection of the genetic diversity of beans was also proven. The results may be of future interest in the choice of genetically distant material for breeding purposes.

UNASSIGNED: To investigate the distribution differences in the respiratory tract microbiota of AECOPD patients in different BMI groups and explore its guiding value for treatment.
UNASSIGNED: Sputum samples of thirty-eight AECOPD patients were collected. The patients were divided into low, normal and high BMI group. The sputum microbiota was sequenced by 16S rRNA detection technology, and the distribution of sputum microbiota was compared. Rarefaction curve, α-diversity, principal coordinate analysis (PCoA) and measurement of sputum microbiota abundance in each group were performed and analyzed by bioinformatics methods.
UNASSIGNED: 1. The rarefaction curve in each BMI group reached a plateau. No significant differences were observed in the OTU total number or α-diversity index of microbiota in each group. PCoA showed significant differences in the distance matrix of sputum microbiota between the three groups, which was calculated by the Binary Jaccard and the Bray Curtis algorithm. 2. At the phylum level, most of the microbiota were Proteobacteria, Bacteroidetes Firmicutes, Actinobacteria, and Fusobacteria. At the genus level, most were Streptococcus, Prevotella, Haemophilus, Neisseria and Bacteroides. 3. At the phylum level, the abundance of Proteobacteria in the low group was significantly higher than that in normal and high BMI groups, the abundances of Firmicutes in the low and normal groups were significantly lower than that in high BMI groups. At the genus level, the abundance of Haemophilus in the low group was significantly higher than that in high BMI group, and the abundances of Streptococcus in the low and normal BMI groups were significantly lower than that in the high BMI group.
UNASSIGNED: 1. The sputum microbiota of AECOPD patients in different BMI groups covered almost all microbiota, and BMI had no significant association with total number of respiratory tract microbiota or α-diversity in AECOPD patients. However, there was a significant difference in the PCoA between different BMI groups. 2. The microbiota structure of AECOPD patients differed in different BMI groups. Gram-negative bacteria (G-) in the respiratory tract of patients predominated in the low BMI group, while gram-positive bacteria (G+) predominated in the high BMI group.

Due to its value and economic importance, the genome of Lonicera caerulea L. has been widely studied in various fields of science. In this study the genetic structure and relationships between 24 accessions of L. caerulea of different origins were assessed. A total of 692, 814, and 258 loci were amplified using 43 RAPD (random amplified polymorphic DNA), 40 ISSR (intersimple sequence repeat), and 20 R-ISSR (RAPD+ISSR) primers, respectively. Among the amplified loci, 66-78% were polymorphic and 12-20% were private. Selected R-ISSR sequences were detected in Lonicera japonica transcripts. Cluster and STRUCTURE analyses performed for each of the techniques revealed the existing differences and unknown similarities between the genotypes. The r-factor values calculated in the Mantel test indicated highly significant positive correlations between the Nei distance matrices, similar to the F ST values (F ST_RAPD = 0.223, F ST_ISSR = 0.279, F ST_R-ISSR = 0.363) determined in the analysis of molecular variance. It was found that 78%, 72%, and 64% of the genetic variations were related to the differences observed within the populations, which suggest that the variations are mainly reflected in the differences among the genotypes. The principal coordinate analysis showed greater differences between the mean distances of the Lonicera genotype pair and the actual distances of the same pairs on the Nei matrix compared to multidimensional scaling. These differences were 45%, 56%, and 42% higher for RAPD, ISSR and R-ISSR, respectively.

In this study, we used high-throughput sequencing technologies (sequencing of V3-V4 hypervariable regions of 16S rRNA gene) to investigate for the first time the microbiota of Latxa ewe raw milk and the bacterial shifts that occur during the production and ripening of Idiazabal cheese. Results revealed several bacterial genera not reported previously in raw ewe milk and cheese, such as Buttiauxella and Obesumbacterium. Both the cheese making and ripening processes had a significant impact on bacterial communities. Overall, the growth of lactic acid bacteria (LAB) (Lactococcus, Lactobacillus, Leuconostoc, Enterococcus, Streptococcus and Carnobacterium) was promoted, whereas that of non-desirable and environmental bacteria was inhibited (such as Pseudomonas and Clostridium). However, considerable differences were observed among producers. It is noteworthy that the starter LAB (Lactococcus) predominated up to 30 or 60 days of ripening and then, the growth of non-starter LAB (Lactobacillus, Leuconostoc, Enterococcus and Streptococcus) was promoted. Moreover, in some cases, bacteria related to the production of volatile compounds (such as Hafnia, Brevibacterium and Psychrobacter) also showed notable abundance during the first few weeks of ripening. Overall, the results of this study enhance our understanding of microbial shifts that occur during the production and ripening of a raw ewe milk-derived cheese (Idiazabal), and could indicate that the practices adopted by producers have a great impact on the microbiota and final quality of this cheese.

Olive tree is an emblematic crop of the Mediterranean region, mainly renowned for its fruit oil, although the species provides several industrial purposes. The Mediterranean basin constitutes the origin of olive species diversification and represents a valuable source of genetic variability of olive germplasm. Therefore, the evaluation of the diversity and the population structure of this Mediterranean germplasm is a challenge for olive species preservation, crop breeding and genetic improvement. In this context, our study aims to analyze the genetic diversity and the population structure of 79 Mediterranean olive accessions using 15 genomic SSRs and by applying computational model-based approaches. The used SSRs revealed a total number of 225 alleles with a mean of 15 alleles per locus. Observed and expected heterozygosity (Ho = 0.79, He = 0.805) with a Polymorphism Information Content value of 0.775 indicate high level of genetic diversity. All results of the Unweighted Pair Group Method with Arithmetic (UPGMA), Jaccard similarity index, Principal Coordinate Analysis (PCoA) and the Bayesian analyses supported the separation of the Mediterranean varieties in two sub-populations, one of which mainly composed by Spanish accessions.