Animal Behavior and Cognition

Inadequate level of knowledge, mixed outlook and poor adherence to COVID-19 prevention guideline among Ethiopians

1. Edessa Negera
2. Tesfaye Moti Demissie
3. Ketema Tafess

Reviewed by ScreenIT

Hydroxychloroquine Increased Anxiety-Like Behaviors and Disrupted the Expression of Some Related Genes in the Mouse Brain

1. Hang Xu
2. Xiang Yang Zhang
3. Wei Wen Wang
4. Jiesi Wang

Reviewed by preLights, ScreenIT

Intranasal Administration of ACIS KEPTIDE™ Prevents SARS-CoV2-Induced Acute Toxicity in K18-hACE2 Humanized Mouse Model of COVID-19: A Mechanistic Insight for the Prophylactic Role of KEPTIDE™ in COVID-19

1. Gunnar Gottschalk
2. James F Keating
3. Kris Kesler
4. Konstance Knox
5. Avik Roy

Reviewed by ScreenIT

Use Of Canine Olfactory Detection For COVID-19 Testing Study On U.A.E. Trained Detection Dog Sensitivity

1. Dominique Grandjean
2. Dana Humaid Al Marzooqi
3. Clothilde Lecoq-Julien
4. Quentin Muzzin
5. Hamad Katir Al Hammadi
6. Guillaume Alvergnat
7. Kalthoom Mohammad Al Blooshi
8. Salah khalifa Al Mazrouei
9. Mohammed Saeed Alhmoudi
10. Faisal Musleh Al Ahbabi
11. Yasser Saifallah Mohammed
12. Nasser Mohammed Alfalasi
13. Noor Majed Almheiri
14. Sumaya Mohamed Al Blooshi
15. Loïc Desquilbet

Reviewed by ScreenIT

Scent dog identification of SARS-CoV-2 infections, similar across different body fluids

1. Paula Jendrny
2. Friederike Twele
3. Sebastian Meller
4. Claudia Schulz
5. Maren von Köckritz-Blickwede
6. Ab Osterhaus
7. Hans Ebbers
8. Janek Ebbers
9. Veronika Pilchová
10. Isabell Pink
11. Tobias Welte
12. Michael Peter Manns
13. Anahita Fathi
14. Marylyn Martina Addo
15. Christiane Ernst
16. Wencke Schäfer
17. Michael Engels
18. Anja Petrov
19. Katharina Marquart
20. Ulrich Schotte
21. Esther Schalke
22. Holger Andreas Volk

Reviewed by Rapid Reviews Infectious Diseases, ScreenIT

Can the detection dog alert on COVID-19 positive persons by sniffing axillary sweat samples? A proof-of-concept study

1. Dominique Grandjean
2. Riad Sarkis
3. Clothilde Lecoq-Julien
4. Aymeric Benard
5. Vinciane Roger
6. Eric Levesque
7. Eric Bernes-Luciani
8. Bruno Maestracci
9. Pascal Morvan
10. Eric Gully
11. David Berceau-Falancourt
12. Pierre Haufstater
13. Gregory Herin
14. Joaquin Cabrera
15. Quentin Muzzin
16. Capucine Gallet
17. Hélène Bacqué
18. Jean-Marie Broc
19. Leo Thomas
20. Anthony Lichaa
21. Georges Moujaes
22. Michele Saliba
23. Aurore Kuhn
24. Mathilde Galey
25. Benoit Berthail
26. Lucien Lapeyre
27. Anthoni Capelli
28. Steevens Renault
29. Karim Bachir
30. Anthony Kovinger
31. Eric Comas
32. Aymeric Stainmesse
33. Erwan Etienne
34. Sébastien Voeltzel
35. Sofiane Mansouri
36. Marlène Berceau-Falancourt
37. Aimé Dami
38. Lary Charlet
39. Eric Ruau
40. Mario Issa
41. Carine Grenet
42. Christophe Billy
43. Jean-Pierre Tourtier
44. Loïc Desquilbet

Reviewed by ScreenIT

Feeding Experimentation Device version 3 (FED3): An open-source home-cage compatible device for measuring food intake and operant behavior

1. Bridget A. Matikainen-Ankney
2. Thomas Earnest
3. Mohamed Ali
4. Eric Casey
5. Amy K. Sutton
6. Alex Legaria
7. Kia Barclay
8. Laura B. Murdaugh
9. Makenzie R. Norris
10. Yu-Hsuan Chang
11. Katrina P. Nguyen
12. Eric Lin
13. Alex Reichenbach
14. Rachel E. Clarke
15. Romana Stark
16. Sineadh M. Conway
17. Filipe Carvalho
18. Ream Al-Hasani
19. Jordan G. McCall
20. Meaghan C. Creed
21. Victor Cazares
22. Matthew W. Buczynski
23. Michael J. Krashes
24. Zane Andrews
25. Alexxai V. Kravitz

• Curated by eLife

  Evaluation Summary:

  All three reviewers were very enthusiastic about this manuscript describing FED3, a new and improved open-source option for a home cage pellet dispensing device. They all agreed that this open-source tool would be of wide-interest to neuroscience laboratories, that the manuscript was well-written and clear, and that the cross-lab validation was informative. They also appreciated that this Tools & Resource manuscript all necessary open-source hardware, firmware, visualization code, and Arduino and Python libraries for user customization of experiments and analysis. Minor concerns were identified with the extent to which the manuscript describes and compares to existing systems and with clarity on some details of the system.

  (This preprint has been reviewed by eLife. We include the public reviews from the reviewers here; the authors also receive private feedback with suggested changes to the manuscript. Reviewer #3 agreed to share their name with the authors.)

Reviewed by eLife

Probing the decision-making mechanisms underlying choice between drug and nondrug rewards in rats

1. Youna Vandaele
2. Magalie Lenoir
3. Caroline Vouillac-Mendoza
4. Karine Guillem
5. Serge H Ahmed

• Curated by eLife

  Summary:

  In this manuscript the authors perform a retrospective analysis in attempt to delineate the role of goal-directed versus habitual mechanisms underlying choice between drug and non-drug rewards. Specifically, the authors utilized data generated in their laboratory to assess cocaine-versus-saccharin choice following limited and extended training paradigms. A sequential choice model was used to assess the prediction that increased latencies during choice reflect goal-directed control; whereas no change in latencies reflects habitual control. Based on this model, the authors report that rats engage in goal-directed control after limited training, and adopt more habitual responding after extended training. The authors conclude that the sequential choice model is specific to habitual choice.

  While the Reviewers appreciate the approach and conceptual framework described in this manuscript, they are all in agreement that additional data and analyses are needed to better support the claims surrounding goal-directed versus habitual control of reward-seeking behavior. For example, an independent evaluation of whether the target behavior is in fact goal-directed or habitual seems necessary to support such claims. Reviewers’ comments and suggestions for improvement are included below.

  Reviewer #1 and Reviewer #2 opted to reveal their name to the authors in the decision letter after review.

Reviewed by eLife

A naturalistic environment to study visual cognition in unrestrained monkeys

1. Georgin Jacob
2. Harish Katti
3. Thomas Cherian
4. Jhilik Das
5. KA Zhivago
6. SP Arun

• Curated by eLife

  Summary: This manuscript describes a new experimental environment for training macaque monkeys to perform behavioral tasks. Using this facility, the authors trained freely moving macaques to perform a visual "same-different" task using operant conditioning, and under voluntary head restraint. The authors demonstrate that they could obtain reliable eye-tracking data and high-performance accuracy from macaques in this facility. They also noted that subordinate macaques can learn to perform basic aspects of the task by observing their dominant conspecifics perform the task in this facility. The authors conclude that this naturalistic environment can facilitate the study of brain activity during natural and controlled behavioral tasks.

  The manuscript is broadly organized along three distinct lines of inquiry. First, the authors describe a customized living space for a small group of macaque monkeys. Second, the authors train two of these monkeys to perform a cognitive task in a purpose-built room of the living enclosure. Third, the authors describe their experience training a third monkey to complete the cognitive task.

Reviewed by eLife

Simulated poaching affects global connectivity and efficiency in social networks of African savanna elephants—An exemplar of how human disturbance impacts group-living species

1. Maggie Wiśniewska
2. Ivan Puga-Gonzalez
3. Phyllis Lee
4. Cynthia Moss
5. Gareth Russell
6. Simon Garnier
7. Cédric Sueur

• Curated by eLife

  Summary: Your study used simulated elephant poaching to investigate the impact of selective individual removal on the functional resilience of animal social networks to human-induced disturbance. This topic is interesting and timely, because understanding how threatened animal populations are impacted by humans is of critical importance and requires more study -- especially for species/processes with limited real-world data, but with a potentially strong impact on ecosystem functioning. However, the reviewers unanimously agreed that the logic and assumptions underlying the study are problematic and, thus, limit the insights that can be drawn from the simulation results. They highlighted specifically that the network metrics used to infer functionality are not supported by field data on elephants, or indeed any other study systems. Please find more detailed comments from all three reviewers appended below.

Reviewed by eLife