Presentation to Brighton and Sussex NHS Library and Knowledge Service Journal Club on Rethlefsen ML, Farrell AM, Osterhaus Trzasko LC, Brigham TJ. Librarian
co-authors correlated with higher quality reported search strategies in general
internal medicine systematic reviews. J Clin Epidemiol. 2015 Jun;68(6):617-26.
Sexuality Scale Development 2.0: Trends and Best Practices for Using EFAJohn Sakaluk
Sakaluk, J. K., Short, S. D., Latham, A., Mitchell, K., & Benton, B. (November, 2012). Paper presented at the annual meeting of the Society for the Scientific Study of Sexuality, Tampa, Florida.
Presentation to Brighton and Sussex NHS Library and Knowledge Service Journal Club on Rethlefsen ML, Farrell AM, Osterhaus Trzasko LC, Brigham TJ. Librarian
co-authors correlated with higher quality reported search strategies in general
internal medicine systematic reviews. J Clin Epidemiol. 2015 Jun;68(6):617-26.
Sexuality Scale Development 2.0: Trends and Best Practices for Using EFAJohn Sakaluk
Sakaluk, J. K., Short, S. D., Latham, A., Mitchell, K., & Benton, B. (November, 2012). Paper presented at the annual meeting of the Society for the Scientific Study of Sexuality, Tampa, Florida.
A data-intensive assessment of the species abundance distributionElita Baldridge
Doctoral defense for Elita Baldridge from the Weecology lab at Utah State University. Slides for the talk (defense_pres.pdf) and a transcript are available on GitHub with the analysis code to fully reproduce the analyses presented. In addition, a fully closed captioned video of the talk is available on YouTube.
https://github.com/weecology/sad-comparison
https://www.youtube.com/watch?v=tkXUD0MSRCo#t=202
Efficacy of Information interventions in reducing transfer anxiety from a cri...Ambika Rai
Efficacy of Information interventions in reducing transfer anxiety from a critical care setting to a general ward: A systematic review and a meta-analysis
A data-intensive assessment of the species abundance distributionElita Baldridge
Doctoral defense for Elita Baldridge from the Weecology lab at Utah State University. Slides for the talk (defense_pres.pdf) and a transcript are available on GitHub with the analysis code to fully reproduce the analyses presented. In addition, a fully closed captioned video of the talk is available on YouTube.
https://github.com/weecology/sad-comparison
https://www.youtube.com/watch?v=tkXUD0MSRCo#t=202
Efficacy of Information interventions in reducing transfer anxiety from a cri...Ambika Rai
Efficacy of Information interventions in reducing transfer anxiety from a critical care setting to a general ward: A systematic review and a meta-analysis
Web Assisted Assessment of Professional Behaviourdentaladditions
Presentation given by Dr Christopher Stokes to the Dental Education Journal Club on 16 July 2013. Discussion of the following paper:
Van Mook, W. N. K. a, Muijtjens, A. M. M., Gorter, S. L., Zwaveling, J. H., Schuwirth, L. W., & Van der Vleuten, C. P. M. (2012). Web-assisted assessment of professional behaviour in problem-based learning: more feedback, yet no qualitative improvement? Advances in health sciences education : theory and practice, 17(1), 81–93. doi:10.1007/s10459-011-9297-0
Week 5 WorksheetDirections For this assignment complete the work sh.docxhelzerpatrina
Week 5 WorksheetDirections: For this assignment complete the work sheet below. Please type out your answers on a separate Word document and then upload it . Don’t forget to number your answers so they can be matched up to the correct question.
1. People were asked how many miles they lived from work. The responses were
22, 20, 1, 25, 35, 23, 18, 5, 22, 22, 15, 7, 14, 21, 5, 9 and 13. The national average distance from work is 20 miles. Find the following:
a) Mean
b) Median
c) Mode
d) Standard deviation
e) Z-Score
f) Range
d) What would be the most appropriate measure of central tendency and why? Does this data represent a skewed distribution? Why or Why not?
2. At a pet store, a survey was taken asking how many pets each person had. The results were: 2, 5, 3, 1, 0, 4, 2, 7, 0, 2, 5, 1, 2, 6, 2, 10, 7, 3. The population average is 2. Find the following:
a) Mean
b) Median
c) Mode
d) Standard deviation
e) Z-Score
f) Range
d) What would be the most appropriate measure of central tendency and why? Does this data represent a skewed distribution? Why or Why not?
3. A sample of eight students were randomly selected and asked, "How many times did you check your email yesterday?" The numbers were: 3, 0, 8, 7, 10, 2, 6, 12, 45, 82, 1, 23, 11, 4, 55, 0. The average number of email checks in the population is 16.
a) Mean
b) Median
c) Mode
d) Standard deviation
e) Z-Score
f) Range
d) What would be the most appropriate measure of central tendency and why? Does this data represent a skewed distribution? Why or Why not?
Running Head: ORGANZIATIONAL CULTURE AND PRODUCTION 1
ORGANIZATIONAL CULTURE AND PRODUCTION 2
Organizational Culture and production
Name
Institutional Affiliation
Maamari, B., & Saheb, A. (2018). How organizational culture and leadership style affect employees’ performance of genders. International Journal of Organizational Analysis, 630–651.
Organization Culture and Production
Summary
The topic of the source is how organizational culture and leadership affect employees’ performance of gender. The authors sought to research on how the leaders’ choice and corporate culture influence employees. The study aimed to investigate if there is statistical evidence of the significant effects of organizational culture on the performance of the various genders and whether the leadership style in such an organization has an impact on the relationships. The study used observational method to conduct quantitative research and observation to identify organizational behavior and regularities. The study uses past literature on organizational culture, leadership, and performance in validating and carrying out the research (Maamari & Saheb, 2018). The authors concluded that the leadership style chosen by the organization and the organization culture has an effect on employee performance and gender implication.
Analysis
The authors have clearly outlined the research question, which was to identify the effects of leadership ...
Assignment 2 RA Annotated BibliographyThe foundation of a rese.docxrock73
Assignment 2: RA: Annotated Bibliography
The foundation of a research study comes from an understanding of the theory and from knowledge that is set forth by the literature in the field. Before a researcher can develop a sound and needed research design, he or she must first determine what is already known, how the topic has previously been studied, and where there are gaps in the knowledge and/or techniques that have been used to study the research problem.
In this module, you will further explore the research topic that you chose in M1 Assignment 2. Additionally, this will be the time to make any needed changes to your research question before you submit your proposal in M5 Assignment 2 RA 2. For this assignment, you will create a 3- to 4-page document following the directions given below.
Using the Argosy University online library resources and the Internet, locate 6 peer-reviewed articles that could be used for the literature review portion of the research proposal in M5 Assignment 2 RA 2. The articles should fall into the following categories:
· 2 quantitative studies
· 2 qualitative studies
· 1 mixed-methods study
· 1 theoretical or research design of your choice
For each article, cover the following points in 250–350 words:
· The problem to be studied
· The rationale for the study
· The type of research that was conducted (qualitative, quantitative, or mixed-methods)
· The data collection strategy
· The data analysis tools that were used
· A summary of the findings
· A statement of how this article will support your proposed study
Present your work in a 3- to 5-page Microsoft Word document that follows the following format:
· Reference the source in APA format.
· Follow the reference with a single block paragraph of 250–350 words comprising your annotation (summary, evaluation, and reflection).
· The whole block should be double-spaced and indented.
· Repeat for the next article—don’t forget that your articles should be listed in alphabetical order just as you would on a standard APA reference page.
All written assignments and responses should follow APA rules for attributing sources.
Submission Details:
· By Wednesday, September 20, 2017, save your document as M3_A2_Lastname_Firstname.doc and submit it to the M3 Assignment 2 RA Dropbox.
RA is worth 200 points and will be graded according to the following rubric.
Running head: EVALUATING QUANTITATIVE DESIGN 1
EVALUATING QUANTITATIVE DESIGN 2
Evaluating Quantitative Design
Sherry L. Crowe
Dr. Cynthia Palmisano
Research and Evaluation
FP6030
September 13, 2017
Evaluating Quantitative Research
PART 1: Comparing Methods
Experimental Research Method
In the experimental research method, research is approached or viewed as a systematic and scientific process through which a researcher manipulates one or more variables while controlling and measuring any variations in other variables (Stangor, 2011). The variables being manipulated are called the independent variables while ...
Classification of Researcher's Collaboration Patterns Towards Research Perfor...Nur Hazimah Khalid
A VIVA presentation slide for Master of Computer Science on 24th May 2016 at Faculty of Computing, Universiti Teknologi Malaysia by Nur Hazimah Khalid. Thank you.
Doctoral Review of Literature Correspondence to Methodology: A general discus...DoctoralNet Limited
Part of the free ongoing series of conferences from DoctoralNet professors on Saturdays and Sundays, this set of slides covers the topic most likely to cause a person trouble at the proposal defense: the need for 1:1 correspondence between the review of literature and methodology.
Peter Embi's 2017 Clinical Research Informatics Year-in-Review. Presented as closing Keynote address at the 2017 AMIA Summits on Translational Science in San Francisco, CA.
RoRI Research Funding Landscapes: The Challenge of Priority Setting. Ludo Waltman, Professor of Quantitative Science Studies & Deputy Director,
CWTS, Leiden University
How research on research can help to inform and accelerate positive changes in research cultures. Stephen Curry, Assistant Provost for Equality, Diversity & Inclusion, Imperial
College & Chair, San Francisco Declaration on Research Assessment (DORA)
Causes and Consequences of International Mobility among STEM PhDs. Megan MacGarvie, Associate Professor, Markets, Public Policy and Law, Questrom School of Business, Boston University
Incentives and pathways for next-generation research. Insights from research in the United Kingdom. Sally Hancock, Lecturer in Education, University of York
RoRILaunch 1 FRONTIERS: Why research on research mattersRoRInstitute
Session 1: FRONTIERS: why research on research matters
Where do we see the greatest progress and possibilities of RoR?
Panorama: Chonnettia Jones, Director of Insight and Analysis, Wellcome
Snapshots: James Wilsdon, Professor of Research Policy, University of Sheffield
Sarah de Rijcke, Director, CWTS, Leiden University
Daniel Hook, CEO, Digital Science
Professional air quality monitoring systems provide immediate, on-site data for analysis, compliance, and decision-making.
Monitor common gases, weather parameters, particulates.
Richard's entangled aventures in wonderlandRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
A brief information about the SCOP protein database used in bioinformatics.
The Structural Classification of Proteins (SCOP) database is a comprehensive and authoritative resource for the structural and evolutionary relationships of proteins. It provides a detailed and curated classification of protein structures, grouping them into families, superfamilies, and folds based on their structural and sequence similarities.
Introduction:
RNA interference (RNAi) or Post-Transcriptional Gene Silencing (PTGS) is an important biological process for modulating eukaryotic gene expression.
It is highly conserved process of posttranscriptional gene silencing by which double stranded RNA (dsRNA) causes sequence-specific degradation of mRNA sequences.
dsRNA-induced gene silencing (RNAi) is reported in a wide range of eukaryotes ranging from worms, insects, mammals and plants.
This process mediates resistance to both endogenous parasitic and exogenous pathogenic nucleic acids, and regulates the expression of protein-coding genes.
What are small ncRNAs?
micro RNA (miRNA)
short interfering RNA (siRNA)
Properties of small non-coding RNA:
Involved in silencing mRNA transcripts.
Called “small” because they are usually only about 21-24 nucleotides long.
Synthesized by first cutting up longer precursor sequences (like the 61nt one that Lee discovered).
Silence an mRNA by base pairing with some sequence on the mRNA.
Discovery of siRNA?
The first small RNA:
In 1993 Rosalind Lee (Victor Ambros lab) was studying a non- coding gene in C. elegans, lin-4, that was involved in silencing of another gene, lin-14, at the appropriate time in the
development of the worm C. elegans.
Two small transcripts of lin-4 (22nt and 61nt) were found to be complementary to a sequence in the 3' UTR of lin-14.
Because lin-4 encoded no protein, she deduced that it must be these transcripts that are causing the silencing by RNA-RNA interactions.
Types of RNAi ( non coding RNA)
MiRNA
Length (23-25 nt)
Trans acting
Binds with target MRNA in mismatch
Translation inhibition
Si RNA
Length 21 nt.
Cis acting
Bind with target Mrna in perfect complementary sequence
Piwi-RNA
Length ; 25 to 36 nt.
Expressed in Germ Cells
Regulates trnasposomes activity
MECHANISM OF RNAI:
First the double-stranded RNA teams up with a protein complex named Dicer, which cuts the long RNA into short pieces.
Then another protein complex called RISC (RNA-induced silencing complex) discards one of the two RNA strands.
The RISC-docked, single-stranded RNA then pairs with the homologous mRNA and destroys it.
THE RISC COMPLEX:
RISC is large(>500kD) RNA multi- protein Binding complex which triggers MRNA degradation in response to MRNA
Unwinding of double stranded Si RNA by ATP independent Helicase
Active component of RISC is Ago proteins( ENDONUCLEASE) which cleave target MRNA.
DICER: endonuclease (RNase Family III)
Argonaute: Central Component of the RNA-Induced Silencing Complex (RISC)
One strand of the dsRNA produced by Dicer is retained in the RISC complex in association with Argonaute
ARGONAUTE PROTEIN :
1.PAZ(PIWI/Argonaute/ Zwille)- Recognition of target MRNA
2.PIWI (p-element induced wimpy Testis)- breaks Phosphodiester bond of mRNA.)RNAse H activity.
MiRNA:
The Double-stranded RNAs are naturally produced in eukaryotic cells during development, and they have a key role in regulating gene expression .
THE IMPORTANCE OF MARTIAN ATMOSPHERE SAMPLE RETURN.Sérgio Sacani
The return of a sample of near-surface atmosphere from Mars would facilitate answers to several first-order science questions surrounding the formation and evolution of the planet. One of the important aspects of terrestrial planet formation in general is the role that primary atmospheres played in influencing the chemistry and structure of the planets and their antecedents. Studies of the martian atmosphere can be used to investigate the role of a primary atmosphere in its history. Atmosphere samples would also inform our understanding of the near-surface chemistry of the planet, and ultimately the prospects for life. High-precision isotopic analyses of constituent gases are needed to address these questions, requiring that the analyses are made on returned samples rather than in situ.
Earliest Galaxies in the JADES Origins Field: Luminosity Function and Cosmic ...Sérgio Sacani
We characterize the earliest galaxy population in the JADES Origins Field (JOF), the deepest
imaging field observed with JWST. We make use of the ancillary Hubble optical images (5 filters
spanning 0.4−0.9µm) and novel JWST images with 14 filters spanning 0.8−5µm, including 7 mediumband filters, and reaching total exposure times of up to 46 hours per filter. We combine all our data
at > 2.3µm to construct an ultradeep image, reaching as deep as ≈ 31.4 AB mag in the stack and
30.3-31.0 AB mag (5σ, r = 0.1” circular aperture) in individual filters. We measure photometric
redshifts and use robust selection criteria to identify a sample of eight galaxy candidates at redshifts
z = 11.5 − 15. These objects show compact half-light radii of R1/2 ∼ 50 − 200pc, stellar masses of
M⋆ ∼ 107−108M⊙, and star-formation rates of SFR ∼ 0.1−1 M⊙ yr−1
. Our search finds no candidates
at 15 < z < 20, placing upper limits at these redshifts. We develop a forward modeling approach to
infer the properties of the evolving luminosity function without binning in redshift or luminosity that
marginalizes over the photometric redshift uncertainty of our candidate galaxies and incorporates the
impact of non-detections. We find a z = 12 luminosity function in good agreement with prior results,
and that the luminosity function normalization and UV luminosity density decline by a factor of ∼ 2.5
from z = 12 to z = 14. We discuss the possible implications of our results in the context of theoretical
models for evolution of the dark matter halo mass function.
Nutraceutical market, scope and growth: Herbal drug technologyLokesh Patil
As consumer awareness of health and wellness rises, the nutraceutical market—which includes goods like functional meals, drinks, and dietary supplements that provide health advantages beyond basic nutrition—is growing significantly. As healthcare expenses rise, the population ages, and people want natural and preventative health solutions more and more, this industry is increasing quickly. Further driving market expansion are product formulation innovations and the use of cutting-edge technology for customized nutrition. With its worldwide reach, the nutraceutical industry is expected to keep growing and provide significant chances for research and investment in a number of categories, including vitamins, minerals, probiotics, and herbal supplements.
2. Peer review at eLife
• ~30% of submissions sent for full peer review
• All reviewers see all reviews (and identities) and the
Reviewing Editor leads a discussion
– i) Ask for revision (~60%): list of essential revisions sent to
author (ie, not full reviews). Only ask for extra work if it is
needed to support main conclusions and can be done in
about two months
– ii) Reject (~40%)
• Reviewing Editor usually makes decision on revision
• Publish decision letter and author response
• Aim is to be fast, fair and transparent
3. Study 1: Author-reviewer homophily in
peer review
• Murray, Siler, Larivière, Chan, Collings, Raymond,
Sugimoto. 2019. bioRxiv: 400515
• 28876 initial submissions and 7192 full submissions
• Outcomes were more favourable for male authors
– Acceptance rate for male corresponding authors = 15.6%
– Acceptance rate for female corresponding authors = 13.8%
– Similar bias seen for last authors but no difference between male
and female first authors
4. Study 1: Author-reviewer homophily in
peer review
• Outcomes were more favourable for authors affiliated with
institutions in North America and Europe
• Both groups were over-represented among gatekeepers.
• Outcomes were influenced by homophily
– When all reviewers were male, accept rate was 55.9% for male
last authors and 51.1% for female last authors
– For mixed-gender review teams the disparity was smaller and not
significant
– Last author-reviewer homogeny had accept rate of 57.4%; non-
homogeny had accept rate of 47.4%
5. Study 2: Results from a peer-review trial
• For papers sent for peer review as part of trial, authors
could decide how they responded to the reviews
• Published paper would include assessment from Editor
• 313 papers in trial; 612 regular papers; not randomized
• Data still being analyzed; initial findings reported in two
blog posts on: elifesciences.org/inside-elife
• Encourage rate = 22.4% (cf 26.4% for regular papers)
• Results suggest different decision outcomes based on
career stage.
6. What are we doing based on the results
of these studies?
• Working to improve the diversity of our editorial boards
– BRE is 68% male/32% female
– Aiming for 60%/40% by end of 2019 and 50/50 in the long term
– Aiming for better geographical/career-stage diversity
• Collecting data on career stage
• Explore blinding in the early stages of the process
• Explore if eLife review process is more or less biased
because of the consultation between reviewers
• Publish-Review-Curate
• Work with bioRxiv, ASAPbio, Center for Open Science
(RP:CB)
8. Meta-research papers in eLife
• Centralized scientific communities are less likely to generate
replicable results (Danchev et al. 2019. eLife 8:e43094)
• Gender variations in citation distributions in medicine are very small
and due to self-citation and journal prestige (Andersen et al. 2019.
eLife 8:e45374)
• Gender bias in scholarly peer review (Helmer et al. 2017. eLife
6:e21718)
• Gender inequalities among authors who contributed equally
(Broderick & Casadevall. 2019. eLife 8:e36399)
• The readability of scientific texts is decreasing over time (Plaven-
Sigray et al. 2017. eLife 6:e27725)
• Use of the Journal Impact Factor in academic review, promotion, and
tenure evaluations (McKiernan et al. 2019. eLife 8:e47338)
14. Outline
• Peer review at eLife
• Study 1: Author-reviewer homophily in peer review
• Study 2: Results from a peer-review trial
• What next?
• Meta-research papers in eLife
15. About eLife
● 700+ submissions per month
● 120+ publications per month
● Mike Eisen = EIC
● 60 Senior Editors
● 430+ Reviewing Editors
16. Editorial process
Full
submission
Peer review
Decision
after peer
review
Revision
assessed by
BRE
Assign to Reviewing Editor, who serves as a
reviewer and contacts other reviewers
Consultation amongst reviewers
Essential revisions listed
Limit rounds of revision
Editor's Notes
Funded by Wellcome (and HHMI, MPG, KAWF)
One could think of eLife as an experiments in meta-research - eLife was the intervention but there was no control!!
NO PAGE BUDGET
Acceptance rates: 15.6 for male corresponding authors; 13.8 for female corresponding authors
For both initial and full submissions, the prestige of the author's institution was the strongest predictor of a positive peer review outcome
Acceptance rates: 15.6 for male corresponding authors; 13.8 for female corresponding authors
For both initial and full submissions, the prestige of the author's institution was the strongest predictor of a positive peer review outcome
Outcomes were influenced by homophily — a preference of gatekeepers for manuscripts from authors with shared characteristics.
Experiment on consultation: does the first person to comment influence the outcome? Does the most senior person to comment influence the outcome?
Experiment on consultation: does the first person to comment influence the outcome? Does the most senior person to comment influence the outcome?
Danchev = Comparative Toxicogenomics Database and LINCSL1000 high-throughput experiments; 51,292 drug-gene interactions in 3363 articles
Andersen = 1.2 million papers in selected medical journals
Helmer = 9000 editors and 43000 reviewers from journals in the Frontiers series; women under-represented; homophily
Broderick = 2898 papers in selected
Plaven-Sigray = 700k abstracts in life and biomed journals
McKiernan = 864 documents from 129 universities
One could think of eLife as an experiments in meta-research - eLife was the intervention but there was no control!!