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Article ; Online: Complications with hot, cold and altitude environments in disaster management.

Bainbridge, Abigail / Wolfe, A / Hartley, M

2022 Volume 168, Issue 6, Page(s) 462–466

Abstract: Introduction: Disaster management is the process of preparing, responding and recovering to an emergency whether that be natural or man-made. It is a time-consuming, resource-heavy process with the aim of reducing the risk of certain events and, where ... ...

Abstract	Introduction: Disaster management is the process of preparing, responding and recovering to an emergency whether that be natural or man-made. It is a time-consuming, resource-heavy process with the aim of reducing the risk of certain events and, where not possible, reducing the impact of said disaster, ensuring that the risks have been identified and appropriate rescue and recovery plan is in place. Methods: We carried out a thorough literature search on the complications of hot, cold and altitude environments in disaster management and distilled the learnings into this article. Results: The incidence of disasters of natural, man-made and complex origin is likely to continue increasing as global temperatures continue to rise. Conclusion: Disaster management in the extreme environments of hot, cold and high altitude is fraught with unique challenges, especially around the physiological response of rescuers, resource constraints and logistics. Recognising these challenges is an important aspect of planning and preparation for disaster management in these environments.
MeSH term(s)	Humans ; Disaster Planning ; Altitude ; Disasters
Language	English
Publishing date	2022-09-15
Publishing country	England
Document type	Journal Article ; Review
ZDB-ID	3011686-7
ISSN	2633-3775 ; 2633-3767
ISSN (online)	2633-3775
ISSN	2633-3767
DOI	10.1136/military-2022-002131
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Article ; Online: Public Perception of Men Who Have Committed Intrafamilial and Extrafamilial Sexual Offences Against Children.

Hartley, Megan / Bartels, Ross M

Sexual abuse : a journal of research and treatment

2022 Volume 34, Issue 8, Page(s) 1003–1028

Abstract: This study examined whether the attitudinal responses toward child sexual abuse (CSA) differ due to the person's relationship with the victim (intrafamilial vs. extrafamilial) and/or proximity to the victim (close vs. distant). An online sample of 292 ... ...

Abstract	This study examined whether the attitudinal responses toward child sexual abuse (CSA) differ due to the person's relationship with the victim (intrafamilial vs. extrafamilial) and/or proximity to the victim (close vs. distant). An online sample of 292 participants completed a measure assessing pre-existing attitudes toward people who commit sexual offenses, before being randomly presented with a vignette describing a CSA case committed by a biological father, biological uncle, babysitter, stranger, or stepfather. Participants then rated the perpetrator's level of dangerousness and pedophilic interest, their own feelings of disgust, and their punitive judgments. Controlling for pre-existing attitudes, the extrafamilial cases (stranger and babysitter) were perceived to be more dangerous (large effects;
MeSH term(s)	Child ; Male ; Humans ; Public Opinion ; Sex Offenses ; Child Abuse, Sexual ; Child Abuse ; Family ; Attitude
Language	English
Publishing date	2022-03-08
Publishing country	United States
Document type	Journal Article
ZDB-ID	1283507-9
ISSN	1573-286X ; 1079-0632
ISSN (online)	1573-286X
ISSN	1079-0632
DOI	10.1177/10790632211062188
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Article: Dynamic Assessment of AAC Action Verb Symbols for Children with ASD.

Gevarter, Cindy / Prieto, Valerie / Binger, Cathy / Hartley, Mary

Advances in neurodevelopmental disorders

2023 , Page(s) 1–15

Abstract: Objectives: The purpose of this study was to determine whether children with autism spectrum disorder (ASD) make progress in learning to use action verb symbols on augmentative and alternative communication (AAC) applications across different ... ...

Abstract	Objectives: The purpose of this study was to determine whether children with autism spectrum disorder (ASD) make progress in learning to use action verb symbols on augmentative and alternative communication (AAC) applications across different communicative functions (requesting, labeling) and instructional formats (embedded instruction, discrete trial teaching). Methods: Four preschool-aged children completed graduated prompting dynamic assessment sessions in which they were provided with varying levels of support (e.g., models, gestures) across three instructional conditions: (a) requesting actions embedded in play, (b) labeling actions embedded in play, and (c) labeling actions presented via video during discrete trial teaching. An adapted multielement single-case design was used to compare participants' abilities to use symbols with different levels of support across the instructional conditions and a control. Results: Differences between instructional and control conditions were established for three participants. Three participants also reduced the levels of support they needed to use symbols in at least two instructional conditions. Although participants initially required lower levels of support (i.e., less restrictive prompts) in the requesting condition compared to labeling conditions, these differences only maintained for one participant. Across participants, differences between labeling conditions were minimal. Conclusions: Although children with ASD can use verb symbols with low levels of support during DA, additional intervention may be needed to increase independent responding. Individual characteristics may influence success across communicative functions.
Language	English
Publishing date	2023-01-03
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2872251-6
ISSN	2366-7540 ; 2366-7532
ISSN (online)	2366-7540
ISSN	2366-7532
DOI	10.1007/s41252-022-00312-3
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Thesis ; Online: Treatment for Women Experiencing Symptoms of Postpartum Posttraumatic Stress Disorder and Training for Their Medical Providers

Hartley, Megan

A Grant Project

2019

Abstract: The purpose of this project was to write a grant proposal for a postpartum posttraumatic stress disorder (PTSD) recovery program in Long Beach, California. After conducting a thorough review of the literature, the grant writer designed the proposed ... ...

Abstract	The purpose of this project was to write a grant proposal for a postpartum posttraumatic stress disorder (PTSD) recovery program in Long Beach, California. After conducting a thorough review of the literature, the grant writer designed the proposed Postpartum PTSD Recovery Program. The proposed project is comprised of two components. The first component of the program provides training and resources for medical providers to learn how to identify women who are experiencing postpartum PTSD and make appropriate referrals. The second component of the pro-gram provides culturally competent and evidence-based treatment services for women experiencing symptoms of postpartum PTSD, with an emphasis on serving traditionally underserved populations. The Long Beach Trauma Recovery Center (LBTRC) was selected as the host agency for this program. This grant was written to the California Health Care Foundation (CHCF). The sub-mission of the grant application was not required for this thesis project.
Keywords	Social work
Subject code	150
Language	ENG
Publishing date	2019-01-01 00:00:01.0
Publisher	California State University, Long Beach
Publishing country	us
Document type	Thesis ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: Public archiving of volume EM data.

Iudin, Andrii / Hartley, Matthew / Kleywegt, Gerard J / Patwardhan, Ardan

Methods in cell biology

2023 Volume 177, Page(s) 389–399

Abstract: Volume electron microscopy (vEM) techniques produce scientifically important datasets which are time and resource intensive to generate (Peddie et al., 2022). Public archival of such datasets, usually described in the literature, provides many benefits ... ...

Abstract	Volume electron microscopy (vEM) techniques produce scientifically important datasets which are time and resource intensive to generate (Peddie et al., 2022). Public archival of such datasets, usually described in the literature, provides many benefits to the data depositors, to those making use of research results based on the datasets, and to the vEM community at large, both now and in the future. In this chapter we discuss these benefits, explain how EMBL-EBI's image data services support archival of both vEM and correlative imaging data, and discuss how future developments will unlock more value from these vEM datasets.
MeSH term(s)	Volume Electron Microscopy ; Data Curation
Language	English
Publishing date	2023-03-27
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ISSN	0091-679X
ISSN	0091-679X
DOI	10.1016/bs.mcb.2023.02.002
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Article: Classification of wheat diseases using deep learning networks with field and glasshouse images.

Long, Megan / Hartley, Matthew / Morris, Richard J / Brown, James K M

Plant pathology

2023 Volume 72, Issue 3, Page(s) 536–547

Abstract: Crop diseases can cause major yield losses, so the ability to detect and identify them in their early stages is important for disease control. Deep learning methods have shown promise in classifying multiple diseases; however, many studies do not use ... ...

Abstract	Crop diseases can cause major yield losses, so the ability to detect and identify them in their early stages is important for disease control. Deep learning methods have shown promise in classifying multiple diseases; however, many studies do not use datasets that represent real field conditions, necessitating either further image processing or reducing their applicability. In this paper, we present a dataset of wheat images taken in real growth situations, including both field and glasshouse conditions, with five categories: healthy plants and four foliar diseases, yellow rust, brown rust, powdery mildew and Septoria leaf blotch. This dataset was used to train a deep learning model. The resulting model, named CerealConv, reached a 97.05% classification accuracy. When tested against trained pathologists on a subset of images from the larger dataset, the model delivered an accuracy score 2% higher than the best-performing pathologist. Image masks were used to show that the model was using the correct information to drive its classifications. These results show that deep learning networks are a viable tool for disease detection and classification in the field, and disease quantification is a logical next step.
Language	English
Publishing date	2023-01-10
Publishing country	England
Document type	Journal Article
ZDB-ID	415941-x
ISSN	1365-3059 ; 0032-0862
ISSN (online)	1365-3059
ISSN	0032-0862
DOI	10.1111/ppa.13684
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Article: Facilitating the social behaviour of bull elephants in zoos

Hartley, M / Wood, A / Yon, L

International zoo yearbook. 2019 July, v. 53, no. 1

2019

Abstract: In the wild, bull elephants socialize with conspecifics of all ages and both sexes, and young bulls develop social bonds with other elephants which will be sustained throughout their lives. Significant progress has been made towards providing an ... ...

Abstract	In the wild, bull elephants socialize with conspecifics of all ages and both sexes, and young bulls develop social bonds with other elephants which will be sustained throughout their lives. Significant progress has been made towards providing an environment that facilitates social behaviour and multi‐generational family structure for female elephants in zoos. However, it is more complex and challenging to build facilities and manage groups of elephants in ways that allow fission–fusion herd dynamics and give the elephants choice over their environment. For bulls, this is further complicated by their potential strength and aggressive behaviour. To advance the development of best‐practice management for zoo elephants and achieve high standards of welfare, it is necessary to improve our understanding of the social and behavioural needs of bull elephants, and implement radical and innovative solutions to their care. In this paper we (1) consider how the social behaviour of bull elephants is addressed in zoos, comparing their social management with their behaviour in the wild, (2) contribute novel preliminary data about how these issues are addressed, and (3) propose some new approaches to the management of bull elephants in zoos for the future.
Keywords	Elephantidae ; administrative management ; aggression ; bulls ; dynamics ; environment ; family structure ; females ; herds ; paper ; social cohesion ; solutions ; zoos
Language	English
Dates of publication	2019-07
Size	p. 62-77.
Publishing place	John Wiley & Sons, Ltd
Document type	Article
Note	NAL-light ; JOURNAL ARTICLE
ZDB-ID	2236401-8
ISSN	1748-1090 ; 0074-9664
ISSN (online)	1748-1090
ISSN	0074-9664
DOI	10.1111/izy.12245
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: dtoolAI: Reproducibility for Deep Learning.

Hartley, Matthew / Olsson, Tjelvar S G

Patterns (New York, N.Y.)

2020 Volume 1, Issue 5, Page(s) 100073

Abstract: Deep learning, a set of approaches using artificial neural networks, has generated rapid recent advancements in machine learning. Deep learning does, however, have the potential to reduce the reproducibility of scientific results. Model outputs are ... ...

Abstract	Deep learning, a set of approaches using artificial neural networks, has generated rapid recent advancements in machine learning. Deep learning does, however, have the potential to reduce the reproducibility of scientific results. Model outputs are critically dependent on the data and processing approach used to initially generate the model, but this provenance information is usually lost during model training. To avoid a future reproducibility crisis, we need to improve our deep-learning model management. The FAIR principles for data stewardship and software/workflow implementation give excellent high-level guidance on ensuring effective reuse of data and software. We suggest some specific guidelines for the generation and use of deep-learning models in science and explain how these relate to the FAIR principles. We then present dtoolAI, a Python package that we have developed to implement these guidelines. The package implements automatic capture of provenance information during model training and simplifies model distribution.
Language	English
Publishing date	2020-07-23
Publishing country	United States
Document type	Journal Article
ISSN	2666-3899
ISSN (online)	2666-3899
DOI	10.1016/j.patter.2020.100073
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Article: Lightweight data management with dtool.

Olsson, Tjelvar S G / Hartley, Matthew

PeerJ

2019 Volume 7, Page(s) e6562

Abstract: The explosion in volumes and types of data has led to substantial challenges in data management. These challenges are often faced by front-line researchers who are already dealing with rapidly changing technologies and have limited time to devote to data ...

Abstract	The explosion in volumes and types of data has led to substantial challenges in data management. These challenges are often faced by front-line researchers who are already dealing with rapidly changing technologies and have limited time to devote to data management. There are good high-level guidelines for managing and processing scientific data. However, there is a lack of simple, practical tools to implement these guidelines. This is particularly problematic in a highly distributed research environment where needs differ substantially from group to group and centralised solutions are difficult to implement and storage technologies change rapidly. To meet these challenges we have developed dtool, a command line tool for managing data. The tool packages data and metadata into a unified whole, which we call a dataset. The dataset provides consistency checking and the ability to access metadata for both the whole dataset and individual files. The tool can store these datasets on several different storage systems, including a traditional file system, object store (S3 and Azure) and iRODS. It includes an application programming interface that can be used to incorporate it into existing pipelines and workflows. The tool has provided substantial process, cost, and peace-of-mind benefits to our data management practices and we want to share these benefits. The tool is open source and available freely online at http://dtool.readthedocs.io.
Language	English
Publishing date	2019-03-07
Publishing country	United States
Document type	Journal Article
ZDB-ID	2703241-3
ISSN	2167-8359
ISSN	2167-8359
DOI	10.7717/peerj.6562
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Article: Evaluation of Alternative Doxycycline Antibiotic Regimes in an Inhalational Murine Model of Q Fever.

Clay, Kate A / Hartley, M Gill / Whelan, Adam O / Bailey, Mark S / Norville, Isobel H

Antibiotics (Basel, Switzerland)

2023 Volume 12, Issue 5

Abstract: The timing of the initiation of antibiotic treatment has been shown to impact the clinical outcome of many bacterial infections, including Q fever. Delayed, suboptimal or incorrect antibiotic treatment has been shown to result in poor prognosis, ... ...

Abstract	The timing of the initiation of antibiotic treatment has been shown to impact the clinical outcome of many bacterial infections, including Q fever. Delayed, suboptimal or incorrect antibiotic treatment has been shown to result in poor prognosis, resulting in the progression of acute disease to long-term chronic sequalae. Therefore, there is a requirement to identify an optimal, effective therapeutic regimen to treat acute Q fever. In the study, the efficacies of different doxycycline monohydrate regimens (pre-exposure prophylaxis, post-exposure prophylaxis or treatment at symptom onset or resolution) were evaluated in an inhalational murine model of Q fever. Different treatment lengths (7 or 14 days) were also evaluated. Clinical signs and weight loss were monitored during infection and mice were euthanized at different time points to characterize bacterial colonization in the lungs and the dissemination of bacteria to other tissues including the spleen, brain, testes, bone marrow and adipose. Post-exposure prophylaxis or doxycycline treatment starting at symptoms onset reduced clinical signs, and also delayed the systemic clearance of viable bacteria from key tissues. Effective clearance was dependent on the development of an adaptive immune response, but also driven by sufficient bacterial activity to maintain an active immune response. Pre-exposure prophylaxis or post-exposure treatment at the resolution of clinical signs did not improve outcomes. These are the first studies to experimentally evaluate different doxycycline treatment regimens for Q fever and illustrate the need to explore the efficacy of other novel antibiotics.
Language	English
Publishing date	2023-05-16
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2681345-2
ISSN	2079-6382
ISSN	2079-6382
DOI	10.3390/antibiotics12050914
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