Teaching Aspects of Antibiotics and Antimicrobials to the Food Science Student through a Combination Wet Lab and In Silico Activity.
Ontology highlight
ABSTRACT:
SUBMITTER: Zimmerman T
PROVIDER: S-EPMC8441997 | biostudies-literature |
REPOSITORIES: biostudies-literature
Similar Datasets
Project description:One challenge that many neuroscience instructors face is how to teach students to communicate within the field. The goal of this project was to improve students' scientific writing in an introductory psychology laboratory course that serves as a feeder course into the neuroscience curriculum. This course included a scaffolded approach - breaking assignments into different sections that build upon each other to allow for more direction and feedback on each section. Students were also provided with examples of scientific writing, given direction on finding and reading journal articles, and were taught how to effectively peer review a paper. Research papers were assessed before (Year 1) and after (Year 2) this scaffolded approach was instituted. The assessment included measures of "Genre Knowledge" for each section of a research paper (abstract, introduction, method, results, discussion) as well as measures of "Writing Elements" (grammar, formatting, clarity, transitions, building to the hypothesis, using evidence). The results indicated that there was an improvement for Genre Knowledge scores when comparing Year 1 to Year 2. However, there was no systematic improvement in Writing Elements. This suggests that this teaching technique was most effective in improving students' ability to write within the scientific genre. The logistics of implementing such an approach are discussed.
| S-EPMC4380299 | biostudies-literature
Project description:This study examines how two kinds of authentic research experiences related to smoking behavior-genotyping human DNA (wet lab) and using a database to test hypotheses about factors that affect smoking behavior (dry lab)-influence students' perceptions and understanding of scientific research and related science concepts. The study used pre and post surveys and a focus group protocol to compare students who conducted the research experiences in one of two sequences: genotyping before database and database before genotyping. Students rated the genotyping experiment to be more like real science than the database experiment, in spite of the fact that they associated more scientific tasks with the database experience than genotyping. Independent of the order of completing the labs, students showed gains in their understanding of science concepts after completion of the two experiences. There was little change in students' attitudes toward science pre to post, as measured by the Scientific Attitude Inventory II. However, on the basis of their responses during focus groups, students developed more sophisticated views about the practices and nature of science after they had completed both research experiences, independent of the order in which they experienced them.
| S-EPMC5459257 | biostudies-literature
Project description:COMPARE Food Ring Trial - wet lab
| PRJEB27238 | ENA
Project description:BACKGROUND: Despite the large volume of genome sequencing data produced by next-generation sequencing technologies and the highly sophisticated software dedicated to handling these types of data, gaps are commonly found in draft genome assemblies. The existence of gaps compromises our ability to take full advantage of the genome data. This study aims to identify a practical approach for biologists to complete their own genome assemblies using commonly available tools and resources. RESULTS: A pipeline was developed to assemble complete genomes primarily from the next generation sequencing (NGS) data. The input of the pipeline is paired-end Illumina sequence reads, and the output is a high quality complete genome sequence. The pipeline alternates the employment of computational and biological methods in seven steps. It combines the strengths of de novo assembly, reference-based assembly, customized programming, public databases utilization, and wet lab experimentation. The application of the pipeline is demonstrated by the completion of a bacterial genome, Thermotoga sp. strain RQ7, a hydrogen-producing strain. CONCLUSIONS: The developed pipeline provides an example of effective integration of computational and biological principles. It highlights the complementary roles that in silico and wet lab methodologies play in bioinformatical studies. The constituting principles and methods are applicable to similar studies on both prokaryotic and eukaryotic genomes.
| S-EPMC4331810 | biostudies-literature
Project description:Natural food antimicrobials are bioactive compounds that inhibit the growth of microorganisms involved in food spoilage or food-borne illness. However, stability issues result in degradation and loss of antimicrobial activity. Nanoencapsulation allows protection of antimicrobial food agents from unfavorable environmental conditions and incompatibilities. Encapsulation of food antimicrobials control delivery increasing the concentration of the antimicrobials in specific areas and the improvement of passive cellular absorption mechanisms resulted in higher antimicrobial activity. This paper reviews the present state of the art of the nanostructures used as food antimicrobial carriers including nanoemulsions, nanoliposomes, nanoparticles, and nanofibers.
| S-EPMC4065700 | biostudies-other
Project description:Anxiety is the top mental health concern for undergraduates. While researchers have identified ways that in-person science courses can affect anxiety, little is known about how online science courses affect anxiety. In this study, 2111 undergraduates at a large research-intensive institution completed survey questions about their anxiety in large-enrollment online science courses. Specifically, we assessed students' anxiety in the context of online science courses and asked what aspects of online science courses increase and decrease their anxiety. Students also identified what instructors can do to lessen anxiety in online classrooms. We used open coding and logistic regression to analyze student responses. More than 50% of students reported at least moderate anxiety in the context of online college science courses. Students commonly reported that the potential for personal technology issues (69.8%) and proctored exams (68.0%) increased their anxiety, while being able to access content at a later time (79.0%) and attending class from where they want (74.2%) decreased their anxiety. The most common ways that students suggested that instructors could decrease student anxiety is to increase test-taking flexibility (25.0%) and be understanding (23.1%). This study provides insight into how instructors can create more inclusive online learning environments for students with anxiety.
| S-EPMC8715781 | biostudies-literature
Project description:BackgroundThe search for diagnostic biomarkers has been profiting from a growing number of high quality sequenced genomes and freely available bioinformatic tools. These can be combined with wet lab experiments for a rational search. Improved, point-of-care diagnostic tests for visceral leishmaniasis (VL), early case detection and surveillance are required. Previous investigations demonstrated the potential of IgG1 as a biomarker for monitoring clinical status in rapid diagnostic tests (RDTs), although using a crude lysate antigen (CLA) as capturing antigen. Replacing the CLA by specific antigens would lead to more robust RDTs.MethodologyImmunoblots revealed L. donovani protein bands detected by IgG1 from VL patients. Upon confident identification of these antigens by mass spectrometry (MS), we searched for evidence of constitutive protein expression and presence of antigenic domains or high accessibility to B-cells. Selected candidates had their linear epitopes mapped with in silico algorithms. Multiple high-scoring predicted epitopes from the shortlisted proteins were screened in peptide arrays. The most promising candidate was tested in RDT prototypes using VL and nonendemic healthy control (NEHC) patient sera.ResultsOver 90% of the proteins identified from the immunoblots did not satisfy the selection criteria and were excluded from the downstream epitope mapping. Screening of predicted epitope peptides from the shortlisted proteins identified the most reactive, for which the sensitivity for IgG1 was 84% (95% CI 60-97%) with Sudanese VL sera on RDT prototypes. None of the sera from NEHCs were positive.ConclusionWe employed in silico searches to reduce drastically the output of wet lab experiments, focusing on promising candidates containing selected protein features. By predicting epitopes in silico we screened a large number of peptides using arrays, identifying the most promising one, for which IgG1 sensitivity and specificity, with limited sample size, supported this proof of concept strategy for diagnostics discovery, which can be applied to the development of more robust IgG1 RDTs for monitoring clinical status in VL.
| S-EPMC6522066 | biostudies-literature
Project description:Students' academic experiences can influence their conceptualization of science. In contrast experts hold particular beliefs, perceptions, opinions, and attitudes about science that are often absent in first-year undergraduate students. Shifts toward more expert-like attitudes and views have been linked to improved student engagement, critical-thinking ability, conceptual understanding, and academic performance. In this study, we investigate shifts in attitudes and views toward science by students in four biology classes with differences in student enrollment, academic support, and instruction. We observe significant, positive effects of enrollment in a guided-inquiry lab course and academic performance on the percentage of expert-like student attitudes and views at the end of term. We also identify variation in two aspects of student attitudes and views: 1) confidence and interest and 2) understanding and acceptance. In particular, enrollment in the lab course boosts student confidence and interest in scientific inquiry in the short term, even for students with low academic performance or little English-language experience. Our results suggest that low-performing students in particular may require additional opportunities for experiential learning or greater academic support to develop expert-like perceptions of biology as a science.
| S-EPMC5132358 | biostudies-other
Project description:Student-centered teaching practices such as active learning continue to gain momentum in college science education. Many instructors committed to these innovative practices transform their classrooms beyond the standard lecture. Nevertheless, widespread implementation of these practices is limited, because the learning benefits for students are often attained through increased instructional complexity to which many instructors cannot commit. When co-instructors are teaching the course, the level of commitment to building a student-centered classroom may be even more profound. For these reasons, new tools are needed to help instructors and co-instructors plan, organize, evaluate, and communicate their classroom innovations. Pathway modeling is a tool with the potential to fill this gap. Unlike curriculum mapping-which identifies academic content gaps, redundancies, and misalignments by examining a series of courses within a plan of study-course pathway modeling creates a visual map of a single course and reveals how teaching practices influence short-, mid-, and long-term student learning outcomes. This essay demonstrates how course pathway modeling can help co-instructors better represent the complexity of student-centered teaching practices. We include guides for creating course pathway models and discuss how this approach offers the potential to improve curricular design, course evaluation, student assessment, and communication between co-instructors.
| S-EPMC8734389 | biostudies-literature
Project description:Research on educational effectiveness most often uses student assessments of classroom instruction for measuring aspects of teaching quality. Given that crucial inferences on the success of education are based on these assessments, it is essential to ensure that they provide valid indicators. In this study, we illustrate the application of an innovative application of a multilevel bifactor structural equation model (ML-BFSEM) to examine the validity of student assessments. Analyzing a large-scale data set of 12,077 fourth-grade students in three countries (Finland, Norway, and Sweden), we find that (i) three aspects of teaching quality and subject domain factors can be established; (ii) metric and scalar invariance could be established for the ML-BFSEM approach across countries; and (iii) significant relations between students' assessments of how easy the teacher is to understand and achievement in all subjects exist. In support of substantive research, we demonstrate a methodological approach for representing the complex nature of student assessments of teaching quality. We finally encourage substantive and methodological researchers to advance the ML-BFSEM.
| S-EPMC4597036 | biostudies-literature