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Do your slides suck?

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Page 1: 2014 01 science slide design ss version

Do your slides suck?

Page 2: 2014 01 science slide design ss version

Based on the live seminar

Mediocre to Memorable Effectively designing slides for science

Originally created for University of Pennsylvania

School of Medicine Faculty and Postdocs

(Lisa’s client for over 15 years)

(She’s also the host of The Public Speaker podcast which has earned over 11 million downloads)

Page 3: 2014 01 science slide design ss version

Do you know what happens

to your attention during a presentation?

Page 4: 2014 01 science slide design ss version

The speaker is being introduced

Time

Interest

Low

HighHigh

You’re just settling in…

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Time

Interest

Low

HighHigh

“Oh, the presentation started!”

Page 6: 2014 01 science slide design ss version

Then the mind vacations begin…

Page 7: 2014 01 science slide design ss version

Time

Interest

Low

HighHigh

“Oh, that reminds me …”

Page 8: 2014 01 science slide design ss version

The speaker continues with bad delivery,

unclear organization, and poorly designed slides…

…the trifecta of horrible presentations!

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Time

Interest

Low

HighHigh

Sleep

Page 10: 2014 01 science slide design ss version

…and the speaker drones onand on, and on,and on, and on, and on,and on, and on, and on,and on,

and on…

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Time

Interest

Low

HighHigh

Coma

Page 12: 2014 01 science slide design ss version

Time

Interest

Low

HighHigh

Coma

…until the two magic words

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Time

Interest

Low

HighHigh

“In conclusion…”

Page 14: 2014 01 science slide design ss version

Unfortunately this isn’t far

from the truth!

Page 15: 2014 01 science slide design ss version

Top 5 Annoyances

(Pardi, 2013)

Top 5 presentation annoyances

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72% Reading slides aloud

(Pardi, 2013)

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The Redundancy Principle:Redundant material interferes with learning

(Hoffman, 2006)

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Pathogenesis of HIT

1. Caused by ultralarge immune complexes composed of IgG antibodies against complexes between platelet factor 4 secreted from activated platelets and heparin or glyscosaminoglycans

2. Thrombocytopenia and thrombosis arise as a result of platelet activation through FcgRIIA, activation of monocytes, and endothelium which together generates a thrombin-mediated feed-forward pathway.

3. Treatment with direct thrombin inhibitors provides incompletebenefit and is associated with major bleeding that approximates1% per day.

Page 19: 2014 01 science slide design ss version

Pathogenesis of HIT

1. Caused by ultralarge immune complexes composed of IgG antibodies against complexes between platelet factor 4 secreted from activated platelets and heparin or glyscosaminoglycans

2. Thrombocytopenia and thrombosis arise as a result of platelet activation through FcgRIIA, activation of monocytes, and endothelium which together generates a thrombin-mediated feed-forward pathway.

3. Treatment with direct thrombin inhibitors provides incompletebenefit and is associated with major bleeding that approximates1% per day.

Yes, this is a REAL slide from someone here at Penn!

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Look! Speak don’t read!

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Pathogenesis of HIT(Heparin-induced thrombocytopenia)

Don’t use slide text

as notes for yourself!

[Put text in notes section if necessary]

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Pathogenesis of HIT• Caused by ultralarge immune complexes

• Thrombocytopenia and thrombosis arise from platelets, monocytes, and endothelium

• Treatment with direct thrombin inhibitors provides incomplete benefit

…or at least shorten !

Page 23: 2014 01 science slide design ss version

48% Full sentences

(Pardi, 2013)

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Observation/Hypothesis

Hypothesis: Inhibition of complement will attenuatethrombocytopenia and thrombosis, increase the benefitof direct thrombin inhibitors, and permit lower and safer doses to be used.

Observation: Platelets from patients with HIT carry increased C3, the third component of complement, and HIT plasma contains complement fixing anti-endothelial cell antibodies that induce expression of tissue factor (NEJM, 1987).

Page 25: 2014 01 science slide design ss version

Observation/Hypothesis

Hypothesis: Inhibition of complement will attenuatethrombocytopenia and thrombosis, increase the benefitof direct thrombin inhibitors, and permit lower and safer doses to be used.

Observation: Platelets from patients with HIT carry increased C3, the third component of complement, and HIT plasma contains complement fixing anti-endothelial cell antibodies that induce expression of tissue factor (NEJM, 1987).

Two line phrases at most

Page 26: 2014 01 science slide design ss version

51% Text too small to read

(Pardi, 2013)

Page 27: 2014 01 science slide design ss version

Observation/Hypothesis

Hypothesis: Inhibition of complement will attenuatethrombocytopenia and thrombosis, increase the benefitof direct thrombin inhibitors, and permit lower and safer doses to be used.

Observation: Platelets from patients with HIT carry increased C3, the third component of complement, and HIT plasma contains complement fixing anti-endothelial cell antibodies that induce expression of tissue factor (NEJM, 1987).

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Hypothesis:Inhibition of C3 complement

will attenuatethrombocytopenia and thrombosis

Large simple

plain language

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26% Poor color choices

(Pardi, 2013)

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High contrast is best

for text and background

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Consider the science

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HIT Mouse: Uninvolved Vessels, 20 Min. Post-KKO

Anti-CD41 (Platelets) Anti-C3b KKO

Complement staining appears to be specific and correlates with binding of platelets and KKO

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AC III Ab NKCC Ab T4

NKCC co-localizes with ACIII on the ciliaCilia

Overlay

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Consider psychology

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Consider color blindness

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Red/green blindness

is very common…

[Change red dots to red X’s]

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31% Overly complex diagrams

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NKCC1 and olfactory transduction (I)

Kaneko et al., 2004

Determination of [Cl]in in dendritic knobs using 2P-FLIM in rat OE

Nkcc1 Is Expressed in

Rat Olfactory Epithelium 150mM [Cl]ex50mM [Cl]ex

Cl uptake mechanism happens in the cilia

Changes of [Cl]in in dendritic knobs of mouse OE

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CL uptake mechanism happens in cilia

Kaneko et al., 2004

150mM [Cl]ex50mM [Cl]ex

Include only what

you plan to talk about!

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F OH E

L LO WT

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Photos: Brandon Rossen Photography

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MinimumEssential

Data

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Only datato make

your point

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Rememberyour papercontains all data

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Your presentationis to generate interest and discussion

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Let’s look at

an example

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Skeletal Defects in PcG Mutants

Suzuki, et al. (2002) Development 129(18):4171-83

wildtype Mutant 1 Mutant 2 Mutant 3

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Skeletal Defects in PcG Mutants

Suzuki, et al. (2002) Development 129(18):4171-83

wildtype Mutant 1 Mutant 2 Mutant 3

Consider the science

Prune and condense

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Skeletal Defects in PcG Mutants

Suzuki, et al. (2002) Development 129(18):4171-83

wildtype Mutant 1 Mutant 2 Mutant 3

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(Suzuki, et al. 2002)

Wildtype Mutant

Skeletal defects found in PcG mutants

Page 52: 2014 01 science slide design ss version

(Suzuki, et al. 2002)

Wildtype Mutant

Skeletal defects found in PcG mutants

Additions needed for clarity

• Does the title make the main point?

• Where do I want the eyes to go?

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Is silencing PcG important in mammals?

(Suzuki, et al. 2002)

Wildtype Mutant

Skeletal defects found in PcG mutants

Page 54: 2014 01 science slide design ss version

main point per slide

1

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Use “billboard” design

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“Headline” titles and takeaways

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Guide eyes to important stuff

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Mix of image and text

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[Mostly image and only some text]

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High contrast color

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[Blue writing on white background]

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[Red as highlight color]

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Sans-serif font

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Assertion-evidence structure

Assertion in the form of a sentence headline title

(Alley et. al, 2007)

Visual

Evidence

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Assertion-evidence structure

Arrest of protein translation suggested by fading Nissl staining

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Assertion-evidence slides led to better recall and understanding of complex

ideas

42%59% (p < .01)

(Alley et. al, 2013)

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Assertion-evidence audiencehad fewer major misconceptions

5% 48%

(Alley et. al, 2013)

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Students that use assertion-evidence think and learn more deeply

(Aippersbach, Alley, & Garner, 2013)

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Most people start with

visual evidence,

then add a title…

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Results (1/4)

Unfortunately this type

of title is common, right?

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Photo of mouse with helmet

…and this type is

even more common

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Photo of mouse with helmet

But…descriptive titles don’t

communicate the meaning!

Page 73: 2014 01 science slide design ss version

Never give up!

Instead, use the title

to make your point…

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Helmets save lives???

…or your audience

may make the

wrong conclusion!

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Express the “so what?”

(not the what)

Success =creativity + determination!

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Start with a blank slate

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What do you want the

audience to remember?

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Let’s look at

an example

Page 79: 2014 01 science slide design ss version

Assertion-evidence structure

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Assertion-evidence structureStart with the “so what”

Page 81: 2014 01 science slide design ss version
Page 82: 2014 01 science slide design ss version

Next, choose the best

possible visual evidence

Page 83: 2014 01 science slide design ss version
Page 84: 2014 01 science slide design ss version

Let’s look at another

example

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Sometimes you need to

discuss and explain

before you make an assertion

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(Pavlov, 1927)

How do neutral stimuluscome to symbolize threats?

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(Pavlov, 1927)

How do neutral stimuluscome to symbolize threats?

What is the question

that lead to your assertion?

Page 89: 2014 01 science slide design ss version

(Pavlov, 1927)

How do neutral stimuluscome to symbolize threats?

Questions more closely

follow scientific process…

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Observation, question,

then assertion

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B A S I C

Page 92: 2014 01 science slide design ss version

The quick brown fox...Verdana

The quick brown fox…ArialThe quick brown fox…Tahoma

The quick brown fox...Trebuchet

The quick brown fox…Times New Roman

The quick brown fox...Century GothicThe quick brown fox…Calibri

The quick brown fox…Comic Sans

The quick brown fox…Georgia

What is the best font for science?

Page 93: 2014 01 science slide design ss version

The quick brown fox...Verdana

The quick brown fox…ArialThe quick brown fox…Tahoma

The quick brown fox...Trebuchet

The quick brown fox…Times New Roman

The quick brown fox...Century GothicThe quick brown fox…Calibri

The quick brown fox…Comic Sans

The quick brown fox…Georgia

What is the best font for science?

Lisa’s choice = Calibri

[Fits more text but still readable from distance]

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94

DON’T USE ALL CAPITALS

[It makes it difficult to read!]

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95

Don’t mix font types

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What leads to motor neuron degeneration in SMARD1?

3 weeks 4 weeks

Fading Nissl staining suggests arrest of protein translation

Use sentence case

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97

Use initial caps on bullets

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98

• Use standard bullets

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Observation/Hypothesis

Hypothesis: Inhibition of complement will attenuatethrombocytopenia and thrombosis, increase the benefitof direct thrombin inhibitors, and permit lower and safer doses to be used.

Observation: Platelets from patients with HIT carry increased C3, the third component of complement, and HIT plasma contains complement fixing anti-endothelial cell antibodies that induce expression of tissue factor (NEJM, 1987).Don’t repeat

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HIT Mouse, Uninvolved Vessels, 20 Min. Post-KKO

Blue= Anti-CD41 (Platelets)Green= Anti-C3bRed= KKO

Layout is important

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HIT Mouse: Uninvolved Vessels, 20 Min. Post-KKO

Anti-CD41 (Platelets) Anti-C3b KKO

Complement staining appears to be specific and correlates with binding of platelets and KKO

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MinimumEssentialGraphs

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(Principae, 2009)

Example of bad graphfrom Jean-Luc Dumount, Principae

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(Principae, 2009)

Principae pruning process

• Data lines better contrasted• Non-data lines grey • Position labels near data• Relevant ticks marks only

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(Principae, 2009)

Minimum essential graphby Jean-Luc Dumount, Principae

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(Principiae, 2009)

Minimum essentials graphsby Jean-Luc Dumount

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Let’s look at examples

from you!

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Platelet activation in WB with KKO agonist

Control PF4 ADP 10ul TRAP 6 Convulxin PF4 + KKO

0

2000

4000

6000

8000

10000

12000

14000

16000P sel MFIAnnexin MFI

Control PF4 ADP 10ul TRAP 6 Convulxin PF4 + KKO0

20

40

60

80

100

120P sel % +

Ann % +

Before

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What is the relative strength KKO in presence of PF4compared to other established platelet agonists?

0

2000

4000

6000

8000

10000

12000

14000

16000

Control PF4 ADP 10ul TRAP 6 Convulxin PF4 + KKO0

20

40

60

80

100

120

Mean fluorescence Percent Positivity

PF4/KKO second to Convulxin

P Sel P Sel %

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Minimumessential

graphs require“builds”(sometimes)

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Meet the PcG Complexes

PRC 2~600 kDa

RPD3

N55E(z)

Su(z)12

EscPcl

PRC 1~ 2MDa

PcPsc

Sce

zesteScm

Ph

Initiation Maintenance

Page 112: 2014 01 science slide design ss version

Meet the PcG Complexes

PRC 2~600 kDa

RPD3

N55E(z)

Su(z)12

EscPcl

PRC 1~ 2MDa

PcPsc

Sce

zesteScm

Ph

Initiation Maintenance

Points speaker made:

• Each protein complex is made up of multiple distinct subunits

• All subunits are required • Silencing requires both complexes (this was the main point)

Page 113: 2014 01 science slide design ss version

Meet the PcG Complexes

PRC 2~600 kDa

RPD3

N55E(z)

Su(z)12

EscPcl

PRC 1~ 2MDa

PcPsc

Sce

zesteScm

Ph

Initiation MaintenanceTitle does not convey

the main point

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Meet the PcG Complexes

PRC 2~600 kDa

RPD3

N55E(z)

Su(z)12

EscPcl

PRC 1~ 2MDa

PcPsc

Sce

zesteScm

Ph

Initiation MaintenanceSome details not required

to make the main point

Page 115: 2014 01 science slide design ss version

Meet the PcG Complexes

PRC 2~600 kDa

RPD3

N55E(z)

Su(z)12

EscPcl

PRC 1~ 2MDa

PcPsc

Sce

zesteScm

Ph

Initiation MaintenanceColor suggests a connection

where there isn’t one

Page 116: 2014 01 science slide design ss version

Let’s look at the “re-do”

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PcG complexes PRC1 and PRC2

Multiple distinct sub-units

PRC2PRC1

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PcG complexes PRC1 and PRC2

PRC2PRC1

All sub-units are required – team effort

Page 119: 2014 01 science slide design ss version

PcG complexes PRC1 and PRC2

All sub-units are required – team effort

PRC2PRC1

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Both PcG complexes PRC1 and PRC 2 are required for silencing

PRC2PRC1

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mTOR (kinase)eIF4E Active

4E-BP

P P P 

4E-BP

Inactive 4E-BP

eIF4Esequestered

cap-dependent mRNAtranslation inhibited

Akt (kinase)40S

eIF4G

eIF4G

eIF4Ecap AAAAAAA

Rapamycin/hypoxia

cap-independent mRNA translationstimulated (e.g., VEGF, FGF, Bcl2, HIF1α)

cap-dependent mRNAtranslation

UAAAAAAAnCap

AUG

40S

growth factorsmitogenic signalshormones, cytokines

4EBP1 acts as a switch between cap-dependent and cap-independent mRNA translation

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mTOR (kinase)eIF4E Active

4E-BP

P P P 

4E-BP

Inactive 4E-BP

eIF4Esequestered

cap-dependent mRNAtranslation inhibited

Akt (kinase)40S

eIF4G

eIF4G

eIF4Ecap AAAAAAA

Rapamycin/hypoxia

cap-independent mRNA translationstimulated (e.g., VEGF, FGF, Bcl2, HIF1α)

cap-dependent mRNAtranslation

UAAAAAAAnCap

AUG

40S

growth factorsmitogenic signalshormones, cytokines

4EBP1 acts as a switch between cap-dependent and cap-independent mRNA translation

Most pathway slides

benefit from a build

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mTOR (kinase)eIF4E Active

4E-BP

P P P 

4E-BP

Inactive 4E-BP

Akt (kinase)40S

eIF4G

eIF4G

eIF4Ecap AAAAAAA

Rapamycin/hypoxia

growth factorsmitogenic signalshormones, cytokines

4EBP1 acts as a switch

cap-dependent mRNA translation

Page 124: 2014 01 science slide design ss version

mTOR (kinase)eIF4E Active

4E-BP

P P P 

4E-BP

Inactive 4E-BP

eIF4Esequestered

cap-dependent mRNA

translation inhibited

Akt (kinase)40S

eIF4G

eIF4G

eIF4Ecap AAAAAAA

Rapamycin/hypoxia

cap-independent mRNA translation stimulated (e.g., VEGF, FGF, Bcl2, HIF1α)

UAAAAAAAnCap

AUG

40S

growth factorsmitogenic signalshormones, cytokines

4EBP1 acts as a switch

Page 125: 2014 01 science slide design ss version

mTOR (kinase)eIF4E Active

4E-BP

P P P 

4E-BP

Inactive 4E-BP

eIF4Esequestered

cap-dependent mRNA translation inhibited

Akt (kinase)40S

eIF4G

eIF4G

eIF4Ecap AAAAAAA

Rapamycin/hypoxia

UAAAAAAAnCap

AUG

40S

growth factorsmitogenic signalshormones, cytokines

Cap-independent mRNA translation stimulated (e.g., VEGF, FGF, Bcl2, HIF1α)

Page 126: 2014 01 science slide design ss version

Use builds when

describing a process

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Aversive Olfactory learning

Session 1

Experimental Design

Olfactory Screening

Set Shock

Baseline

Anxiety STICSA

Specific anosmia

State–Trait Inventory for Cognitive and Somatic Anxiety(Ree et al., 2000)

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Aversive Olfactory learning

Session 1

Experimental Design

Olfactory Screening

Set Shock

Baseline

Anxiety STICSA

Specific anosmia

State–Trait Inventory for Cognitive and Somatic Anxiety(Ree et al., 2000)

Process steps should be

horizontal if possible

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State-Trait inventory for cognitive and somatic anxiety

Session1 Olfactory

ScreeningSet ShockBaseline

Anxiety STICSA

Specific anosmia

(Ree et al., 2000)

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Visual analogous scale used to collect perceptual ratings

Session1 Olfactory

ScreeningSet ShockBaseline

Anxiety STICSA

Specific anosmia

Use expanded callouts to

highlight important details

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Visual analogous scale used to collect perceptual ratings

Session1 Olfactory

ScreeningSet ShockBaseline

Anxiety STICSA

Specific anosmia

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Don’t include verbal transitions

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M O R ES L I D E

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The title slide

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All titles require

manual, natural breaks

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Simple presentation title

(not paper title)

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Presenter needs

to be obvious

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Multi-scale dispersal patterns of Triatoma infestans

Corentin M. Barbu, Karthik Sethuraman, Jen Manne, Javier E. Quintanila Calderon, Michael Z. Levy

University of Pennsylvania – Universidad Peruana Cayetano-Heredia

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Charles Marshall

The fear of smellingOdors and Anxiety

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Charles Marshall

The fear of smellingOdors and Anxiety

Carefully consider use

of cartoons or photos

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The fear of smelling

Odors and anxietyCharles MarshallMonell Chemical Senses Center

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Outline

FEAR ANXIETY

real stimulus anticipation

Fear vs. Anxiety

signal of threat

The “hook” slide

[usually the first slide]

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Has more impact

when the photo

is full screen

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• Mortality 10-20%• Amputations 10%• New thromboembolic events 20-75%• Therapy reduces new events by 60%

does not reduce amputations or increase survival

HIT needs more therapeutic modalities

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Firestein, 2001Choose simplistic diagrams

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Lower motor neurons in the spinal cord and their motor units

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Methods (only if novel)

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Again use full screen photo

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…with enlarged highlights

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How we added enzymatic function to de novo proteins

1.Review analysis of the structure

2.How we created the active site by trimming side chain residues

3.How we stabilized our design by reengineering the turn

The “preview map” slide

(for longer talks)

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Outline

1.Background: structure

2.Methods: active site

3.Results: our design

Not a generic outline

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How we added enzymatic function to de novo proteins

1.Review analysis of the structure

2.How we created the active site by trimming side chain residues

3.How we stabilized our design by reengineering the turn

Notice the “headline” title

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1.Review analysis of the structure

2.How we created the active site by trimming side chain residues

3.How we stabilized our design by reengineering the turn

How we added enzymatic function to de novo proteins

“Foundation figure” is used

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How we added enzymatic function to de novo proteins

1.Review analysis of the structure

2.How we created the active site by trimming side chain residues

3.How we stabilized our design by reengineering the turn

Sections are numbered

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How we added enzymatic function to de novo proteins

1.Review analysis of the structure

2.How we created the active site by trimming side chain residues

3.How we stabilized our design by reengineering the turn

Key words are highlighted

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How we added enzymatic function to de novo proteins

1.Review analysis of the structure

2.How we created the active site by trimming side chain residues

3.How we stabilized our design by reengineering the turn

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Aims can work as “map”

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Disrupting vector-borne disease transmission in complex environments

1. To improve accuracy of maps of disease vectors based on imperfect and incomplete surveys

2. To improve vector advance through a divided landscape

3. To improve detection of emerging or re-emerging vector-borne disease transmission through sequential spatial sampling strategy

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The acknowledgment slide

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Use bullets (it’s a list)

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Use professional photos only

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Put funding on title slide

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The conclusion slide

[This “before” slide was presented as a build]

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• Automated, fast data analysis scheme• Improved diagnosis uses multiple

– Measurements– Subjects– Chromophores

• Pilot study of chemotherapy monitoring trending

[email protected]

Computer-aided detection in DOT

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Computer-aided detection in DOT

• Automated, fast data analysis scheme• Improved diagnosis uses multiple

– Measurements– Subjects– Chromophores

• Pilot study of chemotherapy monitoring trending

[email protected]

• Therapy monitoring• Adding healthy subjects• DOT and other data

– DCS blood flow– MRI: T1 and Gd-Uptake

• Expand data set

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Questions?

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Equation slides

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Equations: Labeled and visible

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Review / preview slide

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Results (2), Characteristics

CCEB

Variable CC (N=199)

Any T (N=118)

P-value

Age 58 (47-70)

60 (51-72)

0.23

Gender 67 (33.7%)

32 (27.1%)

0.22

BMI: <25, 25-30, >30

59 (29.8%) 54 (27.3%) 85 (42.9%)

37 (31.9%)45 (38.8%)34 (29.3%)

0.03

CYP2C9, any *2 or *3

29 (14.9%)

42 (35.6%)

<0.001

APOE, any E4 67 (34.2%)

35 (29.7%)

0.40

Vitamin K intake 44 (20-112)

35 (20-85)

0.49

Table slide

Page 183: 2014 01 science slide design ss version

Results (2), Characteristics

CCEB

Variable CC (N=199)

Any T (N=118)

P-value

Age 58 (47-70)

60 (51-72)

0.23

Gender 67 (33.7%)

32 (27.1%)

0.22

BMI: <25, 25-30, >30

59 (29.8%) 54 (27.3%) 85 (42.9%)

37 (31.9%)45 (38.8%)34 (29.3%)

0.03

CYP2C9, any *2 or *3

29 (14.9%)

42 (35.6%)

<0.001

APOE, any E4 67 (34.2%)

35 (29.7%)

0.40

Vitamin K intake 44 (20-112)

35 (20-85)

0.49

Clarify and clearly annotate Which ?

Which?

What are these?

Page 184: 2014 01 science slide design ss version

Results (2), Characteristics

CCEB

Variable CC (N=199)

Any T (N=118)

P-value

Age 58 (47-70)

60 (51-72)

0.23

Gender 67 (33.7%)

32 (27.1%)

0.22

BMI: <25, 25-30, >30

59 (29.8%) 54 (27.3%) 85 (42.9%)

37 (31.9%)45 (38.8%)34 (29.3%)

0.03

CYP2C9, any *2 or *3

29 (14.9%)

42 (35.6%)

<0.001

APOE, any E4 67 (34.2%)

35 (29.7%)

0.40

Vitamin K intake 44 (20-112)

35 (20-85)

0.49

Which data and

what precision is meaningful?

N values? Percentage of group?Precision of percentage?P-values?

Page 185: 2014 01 science slide design ss version

Results (2), Characteristics

CCEB

Variable CC (N=199)

Any T (N=118)

P-value

Ag 58 (47-70)

60 (51-72)

0.23

Gender 67 (33.7%)

32 (27.1%)

0.22

BMI: <25, 25-30, >30

59 (29.8%) 54 (27.3%) 85 (42.9%)

37 (31.9%)45 (38.8%)34 (29.3%)

0.03

CYP2C9, any *2 or *3

29 (14.9%)

42 (35.6%)

<0.001

APOE, any E4 67 (34.2%)

35 (29.7%)

0.40

Vitamin K intake 44 (20-112)

35 (20-85)

0.49

Which results are relevant and

in what order will you present?

[Highlight and reorder if necessary]

Page 186: 2014 01 science slide design ss version

Results (2), Characteristics

CCEB

Variable CC (N=199)

Any T (N=118)

P-value

Age 58 (47-70)

60 (51-72)

0.23

Gender 67 (33.7%)

32 (27.1%)

0.22

BMI: <25, 25-30, >30

59 (29.8%) 54 (27.3%) 85 (42.9%)

37 (31.9%)45 (38.8%)34 (29.3%)

0.03

CYP2C9, any *2 or *3

29 (14.9%)

42 (35.6%)

<0.001

APOE, any E4 67 (34.2%)

35 (29.7%)

0.40

Vitamin K intake 44 (20-112)

35 (20-85)

0.49

Before (again)

Page 187: 2014 01 science slide design ss version

T-allele carriers have increased risk of CYP2C9 *2 or *3 & decreased risk of elevated BMI

T allele carriers (N=118)

Non T-allele carriers (N=199)

p value

Avg. Age (years) 60 58

% Male 27% 34%% CYP2C9 *2 or *3 36% 15% <0.001

% BMI >30 29% 43% 0.03

% APOE4 30% 34%

Avg. Vit.K intake 35 44

Page 188: 2014 01 science slide design ss version

MinimumEssential

Data

Page 189: 2014 01 science slide design ss version

BillboardDesign

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…from Mediocre

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F OH E

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Contact us for details.

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