86 results
Use of nonnative, invasive tree logs for commercial mushroom production
- Kristen E. Bowers, Stephen D. Hight, Neil W. Miller, Alexander M. Gaffke, Jennifer E. Taylor
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- Invasive Plant Science and Management / Accepted manuscript
- Published online by Cambridge University Press:
- 20 May 2024, pp. 1-21
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Removal and disposal of nonnative trees is expensive and time-consuming. Using these nonnative trees as a substrate to produce edible mushrooms could diversify farming operations and provide additional income to small-scale farmers. This research compared the production of shiitake mushrooms (Lentinula edodes) on nonnative tree logs to shiitake mushroom production on native oak (Quercus L.) logs, which are the traditional substrate. In a 2-yr study, we evaluated nonnative tree species as alternate substrates for growing shiitake mushrooms at farms in northern Florida and southern Georgia. A mix of native Quercus spp. and nonnative trees was targeted for removal on participating farms. Five nonnative tree species were initially tested for their ability to produce edible mushrooms, either shiitake or oyster (Pleurotus ostreatus var. florida). Of the nonnative trees we tested: Chinaberry (Melia azedarach L.), Chinese tallowtree [Triadica sebifera (L.) Small], silktree (Albizia julibrissin Durazz.), earleaf acacia (Acacia auriculiformis A. Cunn. ex Benth.), and paperbark tree [Melaleuca quinquenervia (Cav.) S.F. Blake], only T. sebifera produced shiitake mushrooms, and none produced native Florida oyster mushrooms. In on-farm trials, Quercus spp. logs produced more total mushrooms and more mushrooms per log and had a higher total mushroom yield per log. However, mushrooms produced on T. sebifera logs had higher mean weight per mushroom. Edible mushroom fungi can be used to recycle invasive, nonnative T. sebifera and transform their biomass from waste into an income-producing resource.
Clarifying status of DNNs as models of human vision
- Jeffrey S. Bowers, Gaurav Malhotra, Marin Dujmović, Milton L. Montero, Christian Tsvetkov, Valerio Biscione, Guillermo Puebla, Federico Adolfi, John E. Hummel, Rachel F. Heaton, Benjamin D. Evans, Jeffrey Mitchell, Ryan Blything
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- Behavioral and Brain Sciences / Volume 46 / 2023
- Published online by Cambridge University Press:
- 06 December 2023, e415
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On several key issues we agree with the commentators. Perhaps most importantly, everyone seems to agree that psychology has an important role to play in building better models of human vision, and (most) everyone agrees (including us) that deep neural networks (DNNs) will play an important role in modelling human vision going forward. But there are also disagreements about what models are for, how DNN–human correspondences should be evaluated, the value of alternative modelling approaches, and impact of marketing hype in the literature. In our view, these latter issues are contributing to many unjustified claims regarding DNN–human correspondences in vision and other domains of cognition. We explore all these issues in this response.
Deep problems with neural network models of human vision
- Jeffrey S. Bowers, Gaurav Malhotra, Marin Dujmović, Milton Llera Montero, Christian Tsvetkov, Valerio Biscione, Guillermo Puebla, Federico Adolfi, John E. Hummel, Rachel F. Heaton, Benjamin D. Evans, Jeffrey Mitchell, Ryan Blything
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- Behavioral and Brain Sciences / Volume 46 / 2023
- Published online by Cambridge University Press:
- 01 December 2022, e385
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Deep neural networks (DNNs) have had extraordinary successes in classifying photographic images of objects and are often described as the best models of biological vision. This conclusion is largely based on three sets of findings: (1) DNNs are more accurate than any other model in classifying images taken from various datasets, (2) DNNs do the best job in predicting the pattern of human errors in classifying objects taken from various behavioral datasets, and (3) DNNs do the best job in predicting brain signals in response to images taken from various brain datasets (e.g., single cell responses or fMRI data). However, these behavioral and brain datasets do not test hypotheses regarding what features are contributing to good predictions and we show that the predictions may be mediated by DNNs that share little overlap with biological vision. More problematically, we show that DNNs account for almost no results from psychological research. This contradicts the common claim that DNNs are good, let alone the best, models of human object recognition. We argue that theorists interested in developing biologically plausible models of human vision need to direct their attention to explaining psychological findings. More generally, theorists need to build models that explain the results of experiments that manipulate independent variables designed to test hypotheses rather than compete on making the best predictions. We conclude by briefly summarizing various promising modeling approaches that focus on psychological data.
Epidemiology of extended-spectrum β-lactamase–producing Enterobacterales in five US sites participating in the Emerging Infections Program, 2017
- Nadezhda Duffy, Maria Karlsson, Hannah E. Reses, Davina Campbell, Jonathan Daniels, Richard A. Stanton, Sarah J. Janelle, Kyle Schutz, Wendy Bamberg, Paulina A. Rebolledo, Chris Bower, Rebekah Blakney, Jesse T. Jacob, Erin C. Phipps, Kristina G. Flores, Ghinwa Dumyati, Hannah Kopin, Rebecca Tsay, Marion A. Kainer, Daniel Muleta, Benji Byrd-Warner, Julian E. Grass, Joseph D. Lutgring, J. Kamile Rasheed, Christopher A. Elkins, Shelley S. Magill, Isaac See
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- Journal:
- Infection Control & Hospital Epidemiology / Volume 43 / Issue 11 / November 2022
- Published online by Cambridge University Press:
- 14 February 2022, pp. 1586-1594
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- November 2022
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Objective
The incidence of infections from extended-spectrum β-lactamase (ESBL)–producing Enterobacterales (ESBL-E) is increasing in the United States. We describe the epidemiology of ESBL-E at 5 Emerging Infections Program (EIP) sites.
MethodsDuring October–December 2017, we piloted active laboratory- and population-based (New York, New Mexico, Tennessee) or sentinel (Colorado, Georgia) ESBL-E surveillance. An incident case was the first isolation from normally sterile body sites or urine of Escherichia coli or Klebsiella pneumoniae/oxytoca resistant to ≥1 extended-spectrum cephalosporin and nonresistant to all carbapenems tested at a clinical laboratory from a surveillance area resident in a 30-day period. Demographic and clinical data were obtained from medical records. The Centers for Disease Control and Prevention (CDC) performed reference antimicrobial susceptibility testing and whole-genome sequencing on a convenience sample of case isolates.
ResultsWe identified 884 incident cases. The estimated annual incidence in sites conducting population-based surveillance was 199.7 per 100,000 population. Overall, 800 isolates (96%) were from urine, and 790 (89%) were E. coli. Also, 393 cases (47%) were community-associated. Among 136 isolates (15%) tested at the CDC, 122 (90%) met the surveillance definition phenotype; 114 (93%) of 122 were shown to be ESBL producers by clavulanate testing. In total, 111 (97%) of confirmed ESBL producers harbored a blaCTX-M gene. Among ESBL-producing E. coli isolates, 52 (54%) were ST131; 44% of these cases were community associated.
ConclusionsThe burden of ESBL-E was high across surveillance sites, with nearly half of cases acquired in the community. EIP has implemented ongoing ESBL-E surveillance to inform prevention efforts, particularly in the community and to watch for the emergence of new ESBL-E strains.
P.080 Cognitive Profile, Disease Characteristics, and Neuroimaging Findings in Susac Syndrome: A Case Series of Seven Participants from British Columbia
- P Chivukula, J Chan, P Johnson, G Bower, D Li, J Lee, I Vavasour, A Traboulsee, C Laule, S Kolind, A Woolfenden, R Carruthers
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- Journal:
- Canadian Journal of Neurological Sciences / Volume 48 / Issue s3 / November 2021
- Published online by Cambridge University Press:
- 05 January 2022, p. S42
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Background: Susac Syndrome (SuS) is a rare autoimmune disorder of the cerebral, retinal, and inner ear microvasculature. One of the cardinal manifestations of central nervous system (CNS) involvement is encephalopathy, however the cognitive profile in SuS is poorly characterized in the literature. Methods: In this cross-sectional case series of seven participants diagnosed with Susac Syndrome in remission in British Columbia, we use a battery of neuropsychological testing, subjective disease scores, and objective markers of disease severity to characterize the affected cognitive domains and determine if any disease characteristics predict neuropsychological performance. We also compare this battery of tests to neuroimaging markers to determine if correlation exists between radiographic markers of CNS disease and clinical evaluation of disease severity. Results: There were a variety of cognitive deficits, with memory and language dysfunction being the most common. Despite the variability, performance on some neuropsychological tests (MoCA) correlated to markers of functional disability (EDSS). Additionally, MoCA and EDSS scores correlated with neuroimaging findings of both corpus callosum and white matter changes. Finally, psychiatric scores correlated with participant reported scores of disease severity. Conclusions: There is a relationship between cognitive deficits, subjective and objective disease disability, and neuroimaging findings in Susac Syndrome.
Evaluation of Discrepancies in Carbapenem Minimum Inhibitory Concentrations Obtained at Clinical Laboratories Compared to a Public Health Laboratory
- Julian E. Grass, Shelley S. Magill, Isaac See, Uzma Ansari, Lucy E. Wilson, Elisabeth Vaeth, Paula Snippes Vagnone, Brittany Pattee, Jesse T. Jacob, Georgia Emerging Infections Program, Chris Bower, Atlanta Veterans Affairs Medical Center, Foundation for Atlanta Veterans Education and Research, Sarah W. Satola, Sarah J. Janelle, Kyle Schutz, Rebecca Tsay, Marion A. Kainer, Daniel Muleta, P. Maureen Cassidy, Vivian H. Leung, Meghan Maloney, Erin C. Phipps, New Mexico Emerging Infections Program, Kristina G. Flores, New Mexico Emerging Infections Program, Erin Epson, Joelle Nadle, Maria Karlsson, Joseph D. Lutgring
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- Journal:
- Infection Control & Hospital Epidemiology / Volume 41 / Issue S1 / October 2020
- Published online by Cambridge University Press:
- 02 November 2020, pp. s474-s476
- Print publication:
- October 2020
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Background: Automated testing instruments (ATIs) are commonly used by clinical microbiology laboratories to perform antimicrobial susceptibility testing (AST), whereas public health laboratories may use established reference methods such as broth microdilution (BMD). We investigated discrepancies in carbapenem minimum inhibitory concentrations (MICs) among Enterobacteriaceae tested by clinical laboratory ATIs and by reference BMD at the CDC. Methods: During 2016–2018, we conducted laboratory- and population-based surveillance for carbapenem-resistant Enterobacteriaceae (CRE) through the CDC Emerging Infections Program (EIP) sites (10 sites by 2018). We defined an incident case as the first isolation of Enterobacter spp (E. cloacae complex or E. aerogenes), Escherichia coli, Klebsiella pneumoniae, K. oxytoca, or K. variicola resistant to doripenem, ertapenem, imipenem, or meropenem from normally sterile sites or urine identified from a resident of the EIP catchment area in a 30-day period. Cases had isolates that were determined to be carbapenem-resistant by clinical laboratory ATI MICs (MicroScan, BD Phoenix, or VITEK 2) or by other methods, using current Clinical and Laboratory Standards Institute (CLSI) criteria. A convenience sample of these isolates was tested by reference BMD at the CDC according to CLSI guidelines. Results: Overall, 1,787 isolates from 112 clinical laboratories were tested by BMD at the CDC. Of these, clinical laboratory ATI MIC results were available for 1,638 (91.7%); 855 (52.2%) from 71 clinical laboratories did not confirm as CRE at the CDC. Nonconfirming isolates were tested on either a MicroScan (235 of 462; 50.9%), BD Phoenix (249 of 411; 60.6%), or VITEK 2 (371 of 765; 48.5%). Lack of confirmation was most common among E. coli (62.2% of E. coli isolates tested) and Enterobacter spp (61.4% of Enterobacter isolates tested) (Fig. 1A), and among isolates testing resistant to ertapenem by the clinical laboratory ATI (52.1%, Fig. 1B). Of the 1,388 isolates resistant to ertapenem in the clinical laboratory, 1,006 (72.5%) were resistant only to ertapenem. Of the 855 nonconfirming isolates, 638 (74.6%) were resistant only to ertapenem based on clinical laboratory ATI MICs. Conclusions: Nonconfirming isolates were widespread across laboratories and ATIs. Lack of confirmation was most common among E. coli and Enterobacter spp. Among nonconfirming isolates, most were resistant only to ertapenem. These findings may suggest that ATIs overcall resistance to ertapenem or that isolate transport and storage conditions affect ertapenem resistance. Further investigation into this lack of confirmation is needed, and CRE case identification in public health surveillance may need to account for this phenomenon.
Funding: None
Disclosures: None
Functional data analysis and prediction tools for continuous glucose-monitoring studies
- Emrah Gecili, Rui Huang, Jane C. Khoury, Eileen King, Mekibib Altaye, Katherine Bowers, Rhonda D. Szczesniak
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- Journal:
- Journal of Clinical and Translational Science / Volume 5 / Issue 1 / 2021
- Published online by Cambridge University Press:
- 22 September 2020, e51
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Introduction:
To identify phenotypes of type 1 diabetes based on glucose curves from continuous glucose-monitoring (CGM) using functional data (FD) analysis to account for longitudinal glucose patterns. We present a reliable prediction model that can accurately predict glycemic levels based on past data collected from the CGM sensor and real-time risk of hypo-/hyperglycemic for individuals with type 1 diabetes.
Methods:A longitudinal cohort study of 443 type 1 diabetes patients with CGM data from a completed trial. The FD analysis approach, sparse functional principal components (FPCs) analysis was used to identify phenotypes of type 1 diabetes glycemic variation. We employed a nonstationary stochastic linear mixed-effects model (LME) that accommodates between-patient and within-patient heterogeneity to predict glycemic levels and real-time risk of hypo-/hyperglycemic by creating specific target functions for these excursions.
Results:The majority of the variation (73%) in glucose trajectories was explained by the first two FPCs. Higher order variation in the CGM profiles occurred during weeknights, although variation was higher on weekends. The model has low prediction errors and yields accurate predictions for both glucose levels and real-time risk of glycemic excursions.
Conclusions:By identifying these distinct longitudinal patterns as phenotypes, interventions can be targeted to optimize type 1 diabetes management for subgroups at the highest risk for compromised long-term outcomes such as cardiac disease or stroke. Further, the estimated change/variability in an individual’s glucose trajectory can be used to establish clinically meaningful and patient-specific thresholds that, when coupled with probabilistic predictive inference, provide a useful medical-monitoring tool.
High-resolution imaging of biotite using focal series exit wavefunction restoration and the graphene mechanical exfoliation method
- W. Bower, W. Head, G. T. R. Droop, R. Zan, R. A. D. Pattrick, P. Wincott, S. J. Haigh
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- Journal:
- Mineralogical Magazine / Volume 79 / Issue 2 / April 2015
- Published online by Cambridge University Press:
- 02 January 2018, pp. 337-344
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We have applied mechanical exfoliation for the preparation of ultra-thin samples of the phyllosilicate mineral biotite. We demonstrate that the 'scotch tape' approach, which was made famous as an early method for production of single-atom-thick graphene, can be used for production of sheet-silicate specimens that are sufficiently thin to allow high-resolution transmission electron microscope (HRTEM) imaging to be achieved successfully while also being free from the specimen preparation artefacts that are often caused by ion-beam milling techniques. Exfoliation of the biotite parallel to the (001) planes has produced layers as thin as two structural TOT units thick (∼2 nm). The minimal specimen thickness enabled not only HRTEM imaging but also the application of subsequent exit wavefunction restoration to reveal the pristine biotite lattice. Exit wavefunction restoration recovers the full complex electron wave from a focal series of HRTEM images, removing the effects of coherent lens aberrations. This combination of methods therefore produces images in which the observed features are readily interpreted to obtain atomic resolution structural information.
Radiation damage from long-term alpha particle bombardment of silicates – a microfocus XRD and Fe K-edge XANES study
- W. R. Bower, C. I. Pearce, G. T. R. Droop, J. F. W. Mosselmans, K. Geraki, R. A. D. Pattrick
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- Journal:
- Mineralogical Magazine / Volume 79 / Issue 6 / November 2015
- Published online by Cambridge University Press:
- 02 January 2018, pp. 1455-1466
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A detailed understanding of the response of mineral phases to the radiation fields experienced in a geological disposal facility (GDF) is currently poorly constrained. Prolongued ion irradiation has the potential to affect both the physical integrity and oxidation state of materials and therefore may alter a structure's ability to react with radionuclides. Radiohalos (spheres of radiation damage in minerals surrounding radioactive (α-emitting) inclusions) provide useful analogues for studying long term α-particle damage accumulation. In this study, silicate minerals adjacent to Th- and U-rich monazite and zircon were probed for redox changes and long/short range disorder using microfocus X-ray absorption spectroscopy (XAS) and high resolution X-ray diffraction (XRD) at Beamline I18, Diamond Light Source. Fe3+ → Fe2+ reduction has been demonstrated in an amphibole sample containing structural OH– groups – a trend not observed in anhydrous phases such as garnet. Coincident with the findings of Pattrick et al. (2013), the radiolytic breakdown of OH– groups is postulated to liberate Fe3+ reducing electrons. Across all samples, high point defect densities and minor lattice aberrations are apparent adjacent to the radioactive inclusion, demonstrated by micro-XRD.
Symptom Dimensions of Depression and Apathy and Their Relationship With Cognition in Parkinson’s Disease
- Sarah M. Szymkowicz, Vonetta M. Dotson, Jacob D. Jones, Michael S. Okun, Dawn Bowers
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- Journal:
- Journal of the International Neuropsychological Society / Volume 24 / Issue 3 / March 2018
- Published online by Cambridge University Press:
- 16 October 2017, pp. 269-282
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Objectives: Both depression and apathy, alone and in combination, have been shown to negatively affect cognition in patients with Parkinson’s disease (PD). However, the influence of specific symptom dimensions of depression and apathy on cognition is not well understood. The current study investigated the relationship between symptom dimensions of depression and apathy, based on factors identified in Kirsch-Darrow et al. (2011), and memory and executive function in PD. Methods: A sample of 138 non-demented individuals with PD (mean age=64.51±7.43 years) underwent neuropsychological testing and completed the Beck Depression Inventory, 2nd Edition, and Apathy Scale. Separate hierarchical regression models examined the relationship between symptom dimensions of depression and apathy (“pure” depressive symptoms, “pure” apathy, loss of interest/pleasure [anhedonia], and somatic symptoms) and three cognitive domain composites: immediate verbal memory, delayed verbal memory, and executive function. Results: After adjusting for general cognitive status and the influence of the other symptom dimensions, “pure” depressive symptoms were negatively associated with the delayed verbal memory composite (p<.034) and somatic symptoms were positively associated with the executive function composite (p<.026). No symptom dimensions were significantly related to the immediate verbal memory composite. Conclusions: Findings suggest that specific mood symptoms are associated with delayed verbal memory and executive function performance in non-demented patients with PD. Further research is needed to better understand possible mechanisms through which specific symptom dimensions of depression and apathy are associated with cognition in PD. (JINS, 2018, 24, 269–282)
Water entry of deformable spheres
- Randy C. Hurd, Jesse Belden, Michael A. Jandron, D. Tate Fanning, Allan F. Bower, Tadd T. Truscott
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- Journal of Fluid Mechanics / Volume 824 / 10 August 2017
- Published online by Cambridge University Press:
- 14 July 2017, pp. 912-930
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When a rigid body collides with a liquid surface with sufficient velocity, it creates a splash curtain above the surface and entrains air behind the sphere, creating a cavity below the surface. While cavity dynamics has been studied for over a century, this work focuses on the water entry characteristics of deformable elastomeric spheres, which has not been studied. Upon free surface impact, an elastomeric sphere deforms significantly, giving rise to large-scale material oscillations within the sphere resulting in unique nested cavities. We study these phenomena experimentally with high-speed imaging and image processing techniques. The water entry behaviour of deformable spheres differs from rigid spheres because of the pronounced deformation caused at impact as well as the subsequent material vibration. Our results show that this deformation and vibration can be predicted from material properties and impact conditions. Additionally, by accounting for the sphere deformation in an effective diameter term, we recover previously reported characteristics for time to cavity pinch off and hydrodynamic force coefficients for rigid spheres. Our results also show that velocity change over the first oscillation period scales with the dimensionless ratio of material shear modulus to impact hydrodynamic pressure. Therefore, we are able to describe the water entry characteristics of deformable spheres in terms of material properties and impact conditions.
Are Parkinson’s Patients More Vulnerable to the Effects of Cardiovascular Risk: A Neuroimaging and Neuropsychological Study
- Jacob D. Jones, Jared J. Tanner, Michael Okun, Catherine C. Price, Dawn Bowers
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- Journal of the International Neuropsychological Society / Volume 23 / Issue 4 / April 2017
- Published online by Cambridge University Press:
- 06 February 2017, pp. 322-331
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Objectives: This study examined whether individuals with Parkinson’s disease (PD) are at increased vulnerability for vascular-related cognitive impairment relative to controls. The underlying assumption behind this hypothesis relates to brain reserve and that both PD and vascular risk factors impair similar fronto-executive cognitive systems. Methods: The sample included 67 PD patients and 61 older controls (total N=128). Participants completed neuropsychological measures of executive functioning, processing speed, verbal delayed recall/memory, language, and auditory attention. Cardiovascular risk was assessed with the Framingham Cardiovascular Risk index. Participants underwent brain imaging (T1 and T2 FLAIR). Trained raters measured total and regional leukoaraiosis (periventricular, deep subcortical, and infracortical). Results: Hierarchical regressions revealed that more severe cardiovascular risk was related to worse executive functioning, processing speed, and delayed verbal recall in both Parkinson patients and controls. More severe cardiovascular risk was related to worse language functioning in the PD group, but not controls. In contrast, leukoaraiosis related to both cardiovascular risk and executive functioning for controls, but not the PD group. Conclusions: Overall, results revealed that PD and cardiovascular risk factors are independent risk factors for cognitive impairment. Generally, the influence of cardiovascular risk factors on cognition is similar in PD patients and controls. (JINS, 2017, 23, 322–331)
Factors associated with use of psychiatric intensive care and seclusion in adult inpatient mental health services
- A. E. Cullen, L. Bowers, M. Khondoker, S. Pettit, E. Achilla, L. Koeser, L. Moylan, J. Baker, A. Quirk, F. Sethi, D. Stewart, P. McCrone, A. D. Tulloch
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- Journal:
- Epidemiology and Psychiatric Sciences / Volume 27 / Issue 1 / February 2018
- Published online by Cambridge University Press:
- 20 October 2016, pp. 51-61
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Aims.
Within acute psychiatric inpatient services, patients exhibiting severely disturbed behaviour can be transferred to a psychiatric intensive care unit (PICU) and/or secluded in order to manage the risks posed to the patient and others. However, whether specific patient groups are more likely to be subjected to these coercive measures is unclear. Using robust methodological and statistical techniques, we aimed to determine the demographic, clinical and behavioural predictors of both PICU and seclusion.
Methods.Data were extracted from an anonymised database comprising the electronic medical records of patients within a large South London mental health trust. Two cohorts were derived, (1) a PICU cohort comprising all patients transferred from general adult acute wards to a non-forensic PICU ward between April 2008 and April 2013 (N = 986) and a randomly selected group of patients admitted to general adult wards within this period who were not transferred to PICU (N = 994), and (2) a seclusion cohort comprising all seclusion episodes occurring in non-forensic PICU wards within the study period (N = 990) and a randomly selected group of patients treated in these wards who were not secluded (N = 1032). Demographic and clinical factors (age, sex, ethnicity, diagnosis, admission status and time since admission) and behavioural precursors (potentially relevant behaviours occurring in the 3 days preceding PICU transfer/seclusion or random sample date) were extracted from electronic medical records. Mixed effects, multivariable logistic regression analyses were performed with all variables included as predictors.
Results.PICU cases were significantly more likely to be younger in age, have a diagnosis of bipolar disorder and to be held on a formal section compared with patients who were not transferred to PICU; female sex and longer time since admission were associated with lower odds of transfer. With regard to behavioural precursors, the strongest predictors of PICU transfer were incidents of physical aggression towards others or objects and absconding or attempts to abscond. Secluded patients were also more likely to be younger and legally detained relative to non-secluded patients; however, female sex increased the odds of seclusion. Likelihood of seclusion also decreased with time since admission. Seclusion was significantly associated with a range of behavioural precursors with the strongest associations observed for incidents involving restraint or shouting.
Conclusions.Whilst recent behaviour is an important determinant, patient age, sex, admission status and time since admission also contribute to risk of PICU transfer and seclusion. Alternative, less coercive strategies must meet the needs of patients with these characteristics.
Notes
- David Weisburd, George Mason University, Virginia, John E. Eck, University of Cincinnati, Anthony A. Braga, John F. Kennedy School of Government, Massachusetts, Cody W. Telep, Arizona State University, Breanne Cave, George Mason University, Virginia, Kate Bowers, University College London, Gerben Bruinsma, VU University Amsterdam, Charlotte Gill, George Mason University, Virginia, Elizabeth R. Groff, Temple University, Philadelphia, Julie Hibdon, Southern Illinois University, Carbondale, Joshua C. Hinkle, Georgia State University, Shane D. Johnson, University College London, Brian Lawton, John Jay College of Criminal Justice, City University of New York, Cynthia Lum, George Mason University, Virginia, Jerry H. Ratcliffe, Temple University, Philadelphia, George Rengert, Temple University, Philadelphia, Travis Taniguchi, Sue-Ming Yang, George Mason University, Virginia
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- Place Matters
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- 05 April 2016
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- 04 April 2016, pp 159-162
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Contents
- David Weisburd, George Mason University, Virginia, John E. Eck, University of Cincinnati, Anthony A. Braga, John F. Kennedy School of Government, Massachusetts, Cody W. Telep, Arizona State University, Breanne Cave, George Mason University, Virginia, Kate Bowers, University College London, Gerben Bruinsma, VU University Amsterdam, Charlotte Gill, George Mason University, Virginia, Elizabeth R. Groff, Temple University, Philadelphia, Julie Hibdon, Southern Illinois University, Carbondale, Joshua C. Hinkle, Georgia State University, Shane D. Johnson, University College London, Brian Lawton, John Jay College of Criminal Justice, City University of New York, Cynthia Lum, George Mason University, Virginia, Jerry H. Ratcliffe, Temple University, Philadelphia, George Rengert, Temple University, Philadelphia, Travis Taniguchi, Sue-Ming Yang, George Mason University, Virginia
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- Place Matters
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- 05 April 2016
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- 04 April 2016, pp v-vi
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Index
- David Weisburd, George Mason University, Virginia, John E. Eck, University of Cincinnati, Anthony A. Braga, John F. Kennedy School of Government, Massachusetts, Cody W. Telep, Arizona State University, Breanne Cave, George Mason University, Virginia, Kate Bowers, University College London, Gerben Bruinsma, VU University Amsterdam, Charlotte Gill, George Mason University, Virginia, Elizabeth R. Groff, Temple University, Philadelphia, Julie Hibdon, Southern Illinois University, Carbondale, Joshua C. Hinkle, Georgia State University, Shane D. Johnson, University College London, Brian Lawton, John Jay College of Criminal Justice, City University of New York, Cynthia Lum, George Mason University, Virginia, Jerry H. Ratcliffe, Temple University, Philadelphia, George Rengert, Temple University, Philadelphia, Travis Taniguchi, Sue-Ming Yang, George Mason University, Virginia
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- Place Matters
- Published online:
- 05 April 2016
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- 04 April 2016, pp 197-200
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6 - Reducing Crime at High-Crime Places: Practice and Evidence
- David Weisburd, George Mason University, Virginia, John E. Eck, University of Cincinnati, Anthony A. Braga, John F. Kennedy School of Government, Massachusetts, Cody W. Telep, Arizona State University, Breanne Cave, George Mason University, Virginia, Kate Bowers, University College London, Gerben Bruinsma, VU University Amsterdam, Charlotte Gill, George Mason University, Virginia, Elizabeth R. Groff, Temple University, Philadelphia, Julie Hibdon, Southern Illinois University, Carbondale, Joshua C. Hinkle, Georgia State University, Shane D. Johnson, University College London, Brian Lawton, John Jay College of Criminal Justice, City University of New York, Cynthia Lum, George Mason University, Virginia, Jerry H. Ratcliffe, Temple University, Philadelphia, George Rengert, Temple University, Philadelphia, Travis Taniguchi, Sue-Ming Yang, George Mason University, Virginia
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- Place Matters
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- 05 April 2016
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- 04 April 2016, pp 113-139
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Summary
The fact that crime and disorder are concentrated at a few places is interesting and deserves an explanation. It is also interesting that places show up in other criminological theories and in other disciplines. And it is useful to understand the methods for studying places. However, a primary reason we are interested in high-crime places is that it might be possible to do something about crime by addressing these places. We are convinced that focusing on places can substantially reduce crime and disorder. Our conviction is not a matter of faith, but is based on over twenty-five years of accumulating evidence.
This chapter summarizes the research evidence examining whether focusing on crime places reduces crime. We first discuss a broad range of place-based prevention strategies examined by Eck and Guerrette (2012). This review provides strong evidence for a place-based approach to crime prevention. We then turn to a specific form of place-based crime prevention – hot spots policing (Sherman and Weisburd 1995). Again, we have a strong body of evidence supporting a place-based approach. Having reviewed hot spots policing, we turn to the importance of place managers and third parties in controlling problem places. We then examine an extension of the third-party approach to argue that a place-based approach to crime may free crime control policy from the police monopoly. Then we describe how a place-based approach to crime could be incorporated in community corrections to improve probation and parole outcomes. Finally, we review the larger body of research on the potential threat of crime displacement, and its opposite, the diffusion of crime control benefits. Consistently, the evidence described in this chapter clearly shows the substantial utility of a place-based approach for reducing crime.
SITUATIONAL CRIME PREVENTION AT PLACES
In Chapter 3 we argued for the importance of social disorganization theories for understanding crime places. This is an area where basic research suggests promise (e.g., see Weisburd et al. 2012; Weisburd et al. 2014), but where there is little evidence of effectiveness of specific practices. Such evidence is beginning to be developed, but we can say little at this juncture. In contrast, the evidence regarding opportunity reduction and crime has grown systematically over the last few decades.
2 - The Concentration of Crime at Place
- David Weisburd, George Mason University, Virginia, John E. Eck, University of Cincinnati, Anthony A. Braga, John F. Kennedy School of Government, Massachusetts, Cody W. Telep, Arizona State University, Breanne Cave, George Mason University, Virginia, Kate Bowers, University College London, Gerben Bruinsma, VU University Amsterdam, Charlotte Gill, George Mason University, Virginia, Elizabeth R. Groff, Temple University, Philadelphia, Julie Hibdon, Southern Illinois University, Carbondale, Joshua C. Hinkle, Georgia State University, Shane D. Johnson, University College London, Brian Lawton, John Jay College of Criminal Justice, City University of New York, Cynthia Lum, George Mason University, Virginia, Jerry H. Ratcliffe, Temple University, Philadelphia, George Rengert, Temple University, Philadelphia, Travis Taniguchi, Sue-Ming Yang, George Mason University, Virginia
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- Book:
- Place Matters
- Published online:
- 05 April 2016
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- 04 April 2016, pp 16-41
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Summary
Take a moment to imagine a crime occurring – perhaps a street robbery or a bag snatch. When you do this, it is difficult not to visualize the crime occurring in a particular setting or place. So, you might imagine a dark street corner with dim street lighting or seating in the outside area of a public bar. It seems intuitively sensible to analyze and understand crime at this unit of analysis – in other words, to investigate how criminals behave and crime concentrates at small microplaces. However, engaging in such microlevel analysis has tended to be a more recent criminological undertaking, and there are still many fruitful avenues to explore in terms of advancing both our knowledge and the sophistication of the methods that we use in this research area.
In this chapter, we raise and endeavor to answer a number of questions concerning the appropriate scale of analysis of criminological enquiry. To do this, we will start by defining what we mean by place and how this differs from other geographic concepts. Next, we highlight what has become the key catalyst for the criminology of place – the tremendous concentration of crime at microgeographic units of analysis. The strong and consistent concentration of crime at addresses, street segments, and other microgeographic units across cities is key to understanding why it is important to study the criminology of place and why it has such strong policy implications. We then turn to some additional statistical benefits of studying crime at microgeographic units that have to do with what is often termed “spatial interaction effects.” Finally, we examine problems that crime and place researchers will need to consider, and recommend some future directions for research exploring crime concentration at places.
PLACE AND SPACE
Geographic concepts are sometimes used in criminological research without a clear understanding of their meaning. Place and space are two such concepts. The subtle difference between them is important to keep in mind, as they can be a guide to establishing a carefully constructed study and influence the interpretation of findings. Furthermore, as will become apparent later in this chapter, a confusion of these concepts can mislead the reader in the interpretation of an argument. For example, it is important to keep in mind that place does not necessarily mean small units of analysis, nor does space necessarily refer to large areas.
Place Matters
- Criminology for the Twenty-First Century
- David Weisburd, John E. Eck, Anthony A. Braga, Cody W. Telep, Breanne Cave, Kate Bowers, Gerben Bruinsma, Charlotte Gill, Elizabeth R. Groff, Julie Hibdon, Joshua C. Hinkle, Shane D. Johnson, Brian Lawton, Cynthia Lum, Jerry H. Ratcliffe, George Rengert, Travis Taniguchi, Sue-Ming Yang
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- 05 April 2016
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- 04 April 2016
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Over the last two decades, there has been increased interest in the distribution of crime and other antisocial behavior at lower levels of geography. The focus on micro geography and its contribution to the understanding and prevention of crime has been called the 'criminology of place'. It pushes scholars to examine small geographic areas within cities, often as small as addresses or street segments, for their contribution to crime. Here, the authors describe what is known about crime and place, providing the most up-to-date and comprehensive review available. Place Matters shows that the study of criminology of place should be a central focus of criminology in the twenty-first century. It creates a tremendous opportunity for advancing our understanding of crime, and for addressing it. The book brings together eighteen top scholars in criminology and place to provide comprehensive research expanding across different themes.
4 - The Importance of Place in Mainstream Criminology and Related Fields: Influences and Lessons to be Learned
- David Weisburd, George Mason University, Virginia, John E. Eck, University of Cincinnati, Anthony A. Braga, John F. Kennedy School of Government, Massachusetts, Cody W. Telep, Arizona State University, Breanne Cave, George Mason University, Virginia, Kate Bowers, University College London, Gerben Bruinsma, VU University Amsterdam, Charlotte Gill, George Mason University, Virginia, Elizabeth R. Groff, Temple University, Philadelphia, Julie Hibdon, Southern Illinois University, Carbondale, Joshua C. Hinkle, Georgia State University, Shane D. Johnson, University College London, Brian Lawton, John Jay College of Criminal Justice, City University of New York, Cynthia Lum, George Mason University, Virginia, Jerry H. Ratcliffe, Temple University, Philadelphia, George Rengert, Temple University, Philadelphia, Travis Taniguchi, Sue-Ming Yang, George Mason University, Virginia
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- Place Matters
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- 05 April 2016
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- 04 April 2016, pp 68-85
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Summary
This chapter explores the importance of place in theory and research in both mainstream criminology and other disciplines. As we noted in earlier chapters, traditional criminology has focused primarily on understanding why people commit crime. This focus on criminality has generally inhibited study of microgeographies and their role in producing crime. However, more recently there has been a trend toward integrating microgeographic places into traditional theorizing about criminality. In the first part of the chapter we discuss this trend, focusing on some recent innovations in understanding criminality that have incorporated place-based perspectives. In the second part of the chapter we focus on how other disciplines have influenced thinking in this area, focusing in particular on contributions in psychology, economics, and public health. Finally, we explore how trends in other disciplines might influence future directions of study in the criminology of place.
THE GROWING ROLE OF MICROGEOGRAPHIC PLACES IN TRADITIONAL THEORIZING OF CRIMINALITY
As we noted in Chapter 1, places, at least at a macro level, played a key part in the development of criminology in the nineteenth and early twentieth centuries. But despite the role of place in crime in empirical study in Europe and theoretical development in the Chicago School through social disorganization theory, microgeographic places were mostly ignored. This was not because early criminologists failed to recognize the role of place in crime. Crime occurs in specific environments, and this was apparent to observers of the crime problem. Nonetheless, as we noted in Chapter 1, early criminologists did not see “crime places” – small discrete areas within communities – as a relevant focus of criminological study. This was the case, in part, because crime opportunities provided by places were assumed to be so numerous as to make concentration on specific places of little utility for theory or policy. What is the point of focusing theory or research on the opportunities offered by specific places if such opportunities can be found throughout the urban context?
Moreover, criminologists did not see the utility in focusing in on situational opportunities when criminal motivation was the key to understanding crime rates. Criminologists traditionally assumed that situational factors played a relatively minor role in explaining crime as compared with the “driving force of criminal dispositions” (Clarke and Felson 1993, 4; Trasler 1993).