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Article: Bibliotherapy for depression.

Usher, Tegan

2013 Volume 42, Issue 4, Page(s) 199–200

Abstract: Bibliotherapy can be used to treat mild to moderate depression or subthreshold depressive symptoms, as a sole or supplementary therapy. Bibliotherapy is a form of guided self-help. The patient works through a structured book, independently from the ... ...

Abstract	Bibliotherapy can be used to treat mild to moderate depression or subthreshold depressive symptoms, as a sole or supplementary therapy. Bibliotherapy is a form of guided self-help. The patient works through a structured book, independently from the doctor. The role of the doctor is to support and motivate the patient as they continue through the book and to help clarify any questions or concerns the patient may have. Relevant books can be purchased or often borrowed from a library, with limited cost and good accessibility from a patient perspective. Patients need to have a reading age above 12 years and have a positive attitude toward self-help. Bibliotherapy has NHMRC Level 1 evidence of efficacy and no serious adverse effects have been reported. This article forms part of a series on non-drug treatments, which summarise the indications, considerations and the evidence, and where clinicians and patients can find further information.
MeSH term(s)	Bibliography as Topic ; Bibliotherapy/instrumentation ; Bibliotherapy/methods ; Depression/therapy ; Humans ; Physician's Role
Language	English
Publishing date	2013-04
Publishing country	Australia
Document type	Journal Article
ZDB-ID	423718-3
ISSN	0300-8495
ISSN	0300-8495
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Article ; Online: Biomarkers for progressive multifocal leukoencephalopathy: emerging data for use of JC virus DNA copy number in clinical trials.

Cortese, Irene / Norato, Gina / Harrington, Patrick R / Usher, Therri / Mainardi, Ilaria / Martin-Blondel, Guillaume / Cinque, Paola / Major, Eugene O / Sheikh, Virginia

The Lancet. Neurology

2024 Volume 23, Issue 5, Page(s) 534–544

Abstract: Progressive multifocal leukoencephalopathy is a rare but devastating demyelinating disease caused by the JC virus (JCV), for which no therapeutics are approved. To make progress towards addressing this unmet medical need, innovations in clinical trial ... ...

Abstract	Progressive multifocal leukoencephalopathy is a rare but devastating demyelinating disease caused by the JC virus (JCV), for which no therapeutics are approved. To make progress towards addressing this unmet medical need, innovations in clinical trial design are needed. Quantitative JCV DNA in CSF has the potential to serve as a valuable biomarker of progressive multifocal leukoencephalopathy disease and treatment response in clinical trials to expedite therapeutic development, as do neuroimaging and other fluid biomarkers such as neurofilament light chain. Specifically, JCV DNA in CSF could be used in clinical trials as an entry criterion, stratification factor, or predictor of clinical outcomes. Insights from the investigation of candidate biomarkers for progressive multifocal leukoencephalopathy might inform approaches to biomarker development for other rare diseases.
MeSH term(s)	Humans ; Leukoencephalopathy, Progressive Multifocal ; JC Virus ; DNA Copy Number Variations ; DNA, Viral/genetics ; Biomarkers
Chemical Substances	DNA, Viral ; Biomarkers
Language	English
Publishing date	2024-04-17
Publishing country	England
Document type	Journal Article ; Review
ZDB-ID	2081241-3
ISSN	1474-4465 ; 1474-4422
ISSN (online)	1474-4465
ISSN	1474-4422
DOI	10.1016/S1474-4422(24)00099-1
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Article ; Online: Dissecting the Racial/Ethnic Disparity in Frailty in a Nationally Representative Cohort Study with Respect to Health, Income, and Measurement.

Usher, Therri / Buta, Brian / Thorpe, Roland J / Huang, Jin / Samuel, Laura J / Kasper, Judith D / Bandeen-Roche, Karen

The journals of gerontology. Series A, Biological sciences and medical sciences

2020 Volume 76, Issue 1, Page(s) 69–76

Abstract: Background: Racial/ethnic frailty prevalence disparities have been documented. Better elucidating how these operate may inform interventions to eliminate them. We aimed to determine whether physical frailty phenotype (PFP) prevalence disparities (i) are ...

Abstract	Background: Racial/ethnic frailty prevalence disparities have been documented. Better elucidating how these operate may inform interventions to eliminate them. We aimed to determine whether physical frailty phenotype (PFP) prevalence disparities (i) are explained by health aspects, (ii) vary by income, or (iii) differ in degree across individual PFP criteria. Methods: Data came from the 2011 National Health and Aging Trends Study baseline evaluation. The study sample (n = 7,439) included persons in all residential settings except nursing homes. Logistic regression was used to achieve aims (i)-(iii) listed above. In (i), health aspects considered were body mass index (BMI) status and number of chronic diseases. Analyses incorporated sampling weights and adjusted for sociodemographic factors. Results: Comparisons are versus non-Hispanic whites: Non-Hispanic blacks (odds ratio [OR] = 1.46, 95% confidence interval [CI]: 1.21-1.76) and Hispanics (1.56, 1.20-2.03) continued to have higher odds of frailty after accounting for BMI status and number of chronic diseases. Non-Hispanic blacks had elevated odds of frailty in all income quartiles, including the highest (OR = 2.19, 1.24-3.397). Racial/ethnic disparities differed considerably across frailty criteria, ranging from a twofold increase in odds of slowness to a 25%-30% decrease in odds of self-reported exhaustion. Conclusions: BMI and disease burden do not explain racial/ethnic frailty disparities. Black-white disparities are not restricted to low-income groups. Racial/ethnic differences vary considerably by NHATS PFP criteria. Our findings support the need to better understand mechanisms underlying elevated frailty burden in older non-Hispanic black and Hispanic Americans, how phenotypic measures capture frailty in racial/ethnic subgroups and, potentially, how to create assessments more comparable by race/ethnicity.
MeSH term(s)	African Americans/statistics & numerical data ; Aged ; Body Mass Index ; Cohort Studies ; Cross-Sectional Studies ; European Continental Ancestry Group/statistics & numerical data ; Female ; Frailty/diagnosis ; Frailty/epidemiology ; Frailty/genetics ; Health Status Disparities ; Hispanic Americans/statistics & numerical data ; Humans ; Income ; Male ; Phenotype ; Prevalence ; United States
Language	English
Publishing date	2020-03-05
Publishing country	United States
Document type	Comparative Study ; Journal Article ; Research Support, N.I.H., Extramural
ZDB-ID	1223643-3
ISSN	1758-535X ; 1079-5006
ISSN (online)	1758-535X
ISSN	1079-5006
DOI	10.1093/gerona/glaa061
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Article: Religious Involvement and Health over Time: Predictive Effects in a National Sample of African Americans.

Roth, David L / Usher, Therri / Clark, Eddie M / Holt, Cheryl L

Journal for the scientific study of religion

2016 Volume 55, Issue 2, Page(s) 417–424

Abstract: In this study, two telephone interviews that assessed both religious involvement and health-related quality of life were conducted approximately 2.5 years apart in a national sample of 290 African Americans. Religious involvement was assessed with an ... ...

Abstract	In this study, two telephone interviews that assessed both religious involvement and health-related quality of life were conducted approximately 2.5 years apart in a national sample of 290 African Americans. Religious involvement was assessed with an instrument that measured both personal religious beliefs (e.g., having a personal relationship with God) and more public religious behaviors (e.g., attending church services). Health-related quality of life was measured with version 2 of the Medical Outcomes Study 12-item short form (SF-12v2). Structural equation models indicated that higher religious beliefs at baseline predicted better physical and mental health 2.5 years later. Higher religious behaviors at baseline contributed smaller, complementary suppression effects. Physical and mental health indicators from the SF-12v2 at baseline did not predict changes in either religious beliefs or religious behaviors over time. These findings indicate that, for African Americans, personal religious beliefs lead to beneficial health effects over time, whereas individual differences in health do not appear to predict changes in religious involvement.
Language	English
Publishing date	2016-08-09
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't ; Research Support, N.I.H., Extramural
ZDB-ID	2024375-3
ISSN	1468-5906 ; 0021-8294
ISSN (online)	1468-5906
ISSN	0021-8294
DOI	10.1111/jssr.12269
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Article ; Online: Residential Segregation and Hypertension Prevalence in Black and White Older Adults.

Usher, Therri / Gaskin, Darrell J / Bower, Kelly / Rohde, Charles / Thorpe, Roland J

Journal of applied gerontology : the official journal of the Southern Gerontological Society

2016 Volume 37, Issue 2, Page(s) 177–202

Abstract: Purpose: The purpose of this article was to assess segregation's role on race differences in hypertension among non-Hispanic Blacks and Whites aged 50 and over.: Method: Hypertension was defined as systolic blood pressure (BP) ≥ 140 mmHg, diastolic ... ...

Abstract	Purpose: The purpose of this article was to assess segregation's role on race differences in hypertension among non-Hispanic Blacks and Whites aged 50 and over. Method: Hypertension was defined as systolic blood pressure (BP) ≥ 140 mmHg, diastolic BP ≥ 90 mmHg, or self-reported antihypertensive medication use. Segregation measures combined race, neighborhood racial composition, and individual and neighborhood poverty level. Logistic models produced odds ratios and 95% confidence intervals (CIs) for each segregation category, adjusting for health-related factors. Results: Blacks in Black (OR = 2.54, CI = [1.61, 4.00]), White (OR = 2.56, CI = [1.24, 5.31]), and integrated neighborhoods (OR = 3.23, CI = [1.72, 6.03]) had greater odds of hypertension compared with Whites in White neighborhoods. Poor Whites in poor neighborhoods (OR = 1.74, CI = [1.09, 2.76]), nonpoor Blacks in nonpoor (OR = 3.03, CI = [1.79, 5.12]) and poor neighborhoods (OR = 4.08, CI = [2.16, 7.70]), and poor Blacks in nonpoor (OR = 4.35, CI = [2.17, 8.73]) and poor neighborhoods (OR = 2.75, CI = [1.74, 4.36]) had greater odds compared with nonpoor Whites in nonpoor neighborhoods. Conclusion: Interventions targeting hypertension among older adults should consider neighborhood compositions.
MeSH term(s)	Black or African American/statistics & numerical data ; Aged ; Aged, 80 and over ; Antihypertensive Agents/therapeutic use ; Cross-Sectional Studies ; Environmental Exposure/adverse effects ; Environmental Exposure/statistics & numerical data ; Female ; Humans ; Hypertension/drug therapy ; Hypertension/epidemiology ; Logistic Models ; Male ; Middle Aged ; Prevalence ; Residence Characteristics ; Social Environment ; Social Segregation ; United States ; White People/statistics & numerical data
Chemical Substances	Antihypertensive Agents
Language	English
Publishing date	2016-03-22
Publishing country	United States
Document type	Journal Article ; Research Support, N.I.H., Extramural
ZDB-ID	155897-3
ISSN	1552-4523 ; 0733-4648
ISSN (online)	1552-4523
ISSN	0733-4648
DOI	10.1177/0733464816638788
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Article ; Online: The Role of Marital Status in Physical Activity Among African American and White Men.

Porch, Tichelle C / Bell, Caryn N / Bowie, Janice V / Usher, Therri / Kelly, Elizabeth A / LaVeist, Thomas A / Thorpe, Roland J

American journal of men's health

2016 Volume 10, Issue 6, Page(s) 526–532

Abstract: Racial differences in physical activity among men are well documented; however, little is known about the impact of marital status on this relationship. Data from the National Health and Examination Survey (NHANES) 1999-2006 was used to determine whether ...

Abstract	Racial differences in physical activity among men are well documented; however, little is known about the impact of marital status on this relationship. Data from the National Health and Examination Survey (NHANES) 1999-2006 was used to determine whether the association of race and physical activity among men varied by marital status. Marital status was divided into two categories: married and unmarried. Physical activity was determined by the number of minutes per week a respondent engaged in household/yard work, moderate and vigorous activity, or transportation (bicycling and walking) over the past 30 days. The sample included 7,131 African American (29%) and White(71%) men aged 18 years and older. All models were estimated using logistic regression. Because the interaction term of race and marital status was statistically significant (p < .001), the relationship between race, physical activity, and marital status was examined using a variable that reflects the different levels of the interaction term. After adjusting for age, income, education, weight status, smoking status, and self-rated health, African American married men had lower odds (odds ratio = 0.53, 95% confidence interval = [0.46-0.61], p < .001) of meeting federal physical activity guidelines compared with White married men. Possible dissimilarities in financial and social responsibilities may contribute to the racial differences observed in physical activity among African American and White married men.
Language	English
Publishing date	2016-11
Publishing country	United States
Document type	Journal Article
ZDB-ID	2275106-3
ISSN	1557-9891 ; 1557-9883
ISSN (online)	1557-9891
ISSN	1557-9883
DOI	10.1177/1557988315576936
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Book ; Online: Scalable, Proposal-free Instance Segmentation Network for 3D Pixel Clustering and Particle Trajectory Reconstruction in Liquid Argon Time Projection Chambers

Koh, Dae Heun / de Soux, Pierre Côte / Dominé, Laura / Drielsma, François / Itay, Ran / Lin, Qing / Terao, Kazuhiro / Tsang, Ka Vang / Usher, Tracy

2020

Abstract: Liquid Argon Time Projection Chambers (LArTPCs) are high resolution particle imaging detectors, employed by accelerator-based neutrino oscillation experiments for high precision physics measurements. While images of particle trajectories are intuitive to ...

Abstract	Liquid Argon Time Projection Chambers (LArTPCs) are high resolution particle imaging detectors, employed by accelerator-based neutrino oscillation experiments for high precision physics measurements. While images of particle trajectories are intuitive to analyze for physicists, the development of a high quality, automated data reconstruction chain remains challenging. One of the most critical reconstruction steps is particle clustering: the task of grouping 3D image pixels into different particle instances that share the same particle type. In this paper, we propose the first scalable deep learning algorithm for particle clustering in LArTPC data using sparse convolutional neural networks (SCNN). Building on previous works on SCNNs and proposal free instance segmentation, we build an end-to-end trainable instance segmentation network that learns an embedding of the image pixels to perform point cloud clustering in a transformed space. We benchmark the performance of our algorithm on PILArNet, a public 3D particle imaging dataset, with respect to common clustering evaluation metrics. 3D pixels were successfully clustered into individual particle trajectories with 90% of them having an adjusted Rand index score greater than 92% with a mean pixel clustering efficiency and purity above 96%. This work contributes to the development of an end-to-end optimizable full data reconstruction chain for LArTPCs, in particular pixel-based 3D imaging detectors including the near detector of the Deep Underground Neutrino Experiment. Our algorithm is made available in the open access repository, and we share our Singularity software container, which can be used to reproduce our work on the dataset.
Keywords	Physics - Instrumentation and Detectors ; Computer Science - Computer Vision and Pattern Recognition ; Electrical Engineering and Systems Science - Image and Video Processing
Subject code	006
Publishing date	2020-07-06
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Book ; Online: Track Seeding and Labelling with Embedded-space Graph Neural Networks

Choma, Nicholas / Murnane, Daniel / Ju, Xiangyang / Calafiura, Paolo / Conlon, Sean / Farrell, Steven / Prabhat / Cerati, Giuseppe / Gray, Lindsey / Klijnsma, Thomas / Kowalkowski, Jim / Spentzouris, Panagiotis / Vlimant, Jean-Roch / Spiropulu, Maria / Aurisano, Adam / Hewes, V / Tsaris, Aristeidis / Terao, Kazuhiro / Usher, Tracy

2020

Abstract: To address the unprecedented scale of HL-LHC data, the Exa.TrkX project is investigating a variety of machine learning approaches to particle track reconstruction. The most promising of these solutions, graph neural networks (GNN), process the event as a ...

Abstract	To address the unprecedented scale of HL-LHC data, the Exa.TrkX project is investigating a variety of machine learning approaches to particle track reconstruction. The most promising of these solutions, graph neural networks (GNN), process the event as a graph that connects track measurements (detector hits corresponding to nodes) with candidate line segments between the hits (corresponding to edges). Detector information can be associated with nodes and edges, enabling a GNN to propagate the embedded parameters around the graph and predict node-, edge- and graph-level observables. Previously, message-passing GNNs have shown success in predicting doublet likelihood, and we here report updates on the state-of-the-art architectures for this task. In addition, the Exa.TrkX project has investigated innovations in both graph construction, and embedded representations, in an effort to achieve fully learned end-to-end track finding. Hence, we present a suite of extensions to the original model, with encouraging results for hitgraph classification. In addition, we explore increased performance by constructing graphs from learned representations which contain non-linear metric structure, allowing for efficient clustering and neighborhood queries of data points. We demonstrate how this framework fits in with both traditional clustering pipelines, and GNN approaches. The embedded graphs feed into high-accuracy doublet and triplet classifiers, or can be used as an end-to-end track classifier by clustering in an embedded space. A set of post-processing methods improve performance with knowledge of the detector physics. Finally, we present numerical results on the TrackML particle tracking challenge dataset, where our framework shows favorable results in both seeding and track finding. Comment: Proceedings submission in Connecting the Dots Workshop 2020, 10 pages
Keywords	Physics - Instrumentation and Detectors ; Computer Science - Machine Learning ; High Energy Physics - Experiment ; Physics - Computational Physics
Subject code	006
Publishing date	2020-06-30
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Book: Decision tables in the design of generalized management information systems

Usher, T

1970

Author's details	T. Usher
Size	244 S
Document type	Book
Database	Former special subject collection: coastal and deep sea fishing

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Article ; Online: Search for Heavy Neutral Leptons in Electron-Positron and Neutral-Pion Final States with the MicroBooNE Detector.

Abratenko, P / Alterkait, O / Andrade Aldana, D / Arellano, L / Asaadi, J / Ashkenazi, A / Balasubramanian, S / Baller, B / Barr, G / Barrow, D / Barrow, J / Basque, V / Benevides Rodrigues, O / Berkman, S / Bhanderi, A / Bhat, A / Bhattacharya, M / Bishai, M / Blake, A /

Bogart, B / Bolton, T / Book, J Y / Brunetti, M B / Camilleri, L / Cao, Y / Caratelli, D / Cavanna, F / Cerati, G / Chappell, A / Chen, Y / Conrad, J M / Convery, M / Cooper-Troendle, L / Crespo-Anadón, J I / Cross, R / Del Tutto, M / Dennis, S R / Detje, P / Devitt, A / Diurba, R / Djurcic, Z / Dorrill, R / Duffy, K / Dytman, S / Eberly, B / Englezos, P / Ereditato, A / Evans, J J / Fine, R / Finnerud, O G / Foreman, W / Fleming, B T / Franco, D / Furmanski, A P / Gao, F / Garcia-Gamez, D / Gardiner, S / Ge, G / Gollapinni, S / Gramellini, E / Green, P / Greenlee, H / Gu, L / Gu, W / Guenette, R / Guzowski, P / Hagaman, L / Hen, O / Hilgenberg, C / Horton-Smith, G A / Imani, Z / Irwin, B / Ismail, M / James, C / Ji, X / Jo, J H / Johnson, R A / Jwa, Y-J / Kalra, D / Kamp, N / Karagiorgi, G / Ketchum, W / Kirby, M / Kobilarcik, T / Kreslo, I / Leibovitch, M B / Lepetic, I / Li, J-Y / Li, K / Li, Y / Lin, K / Littlejohn, B R / Liu, H / Louis, W C / Luo, X / Mariani, C / Marsden, D / Marshall, J / Martinez, N / Martinez Caicedo, D A / Martynenko, S / Mastbaum, A / Mawby, I / McConkey, N / Meddage, V / Micallef, J / Miller, K / Mogan, A / Mohayai, T / Mooney, M / Moor, A F / Moore, C D / Mora Lepin, L / Moudgalya, M M / Mulleriababu, S / Naples, D / Navrer-Agasson, A / Nayak, N / Nebot-Guinot, M / Nowak, J / Oza, N / Palamara, O / Pallat, N / Paolone, V / Papadopoulou, A / Papavassiliou, V / Parkinson, H B / Pate, S F / Patel, N / Pavlovic, Z / Piasetzky, E / Pophale, I / Qian, X / Raaf, J L / Radeka, V / Rafique, A / Reggiani-Guzzo, M / Ren, L / Rochester, L / Rodriguez Rondon, J / Rosenberg, M / Ross-Lonergan, M / Rudolf von Rohr, C / Safa, I / Scanavini, G / Schmitz, D W / Schukraft, A / Seligman, W / Shaevitz, M H / Sharankova, R / Shi, J / Snider, E L / Soderberg, M / Söldner-Rembold, S / Spitz, J / Stancari, M / St John, J / Strauss, T / Szelc, A M / Tang, W / Taniuchi, N / Terao, K / Thorpe, C / Torbunov, D / Totani, D / Toups, M / Tsai, Y-T / Tyler, J / Uchida, M A / Usher, T / Viren, B / Weber, M / Wei, H / White, A J / Wolbers, S / Wongjirad, T / Wospakrik, M / Wresilo, K / Wu, W / Yandel, E / Yang, T / Yates, L E / Yu, H W / Zeller, G P / Zennamo, J / Zhang, C

Physical review letters

2024 Volume 132, Issue 4, Page(s) 41801

Abstract: We present the first search for heavy neutral leptons (HNLs) decaying into νe^{+}e^{-} or νπ^{0} final states in a liquid-argon time projection chamber using data collected with the MicroBooNE detector. The data were recorded synchronously with the NuMI ... ...

Abstract	We present the first search for heavy neutral leptons (HNLs) decaying into νe^{+}e^{-} or νπ^{0} final states in a liquid-argon time projection chamber using data collected with the MicroBooNE detector. The data were recorded synchronously with the NuMI neutrino beam from Fermilab's main injector corresponding to a total exposure of 7.01×10^{20} protons on target. We set upper limits at the 90% confidence level on the mixing parameter \|U_{μ4}\|^{2} in the mass ranges 10≤m_{HNL}≤150 MeV for the νe^{+}e^{-} channel and 150≤m_{HNL}≤245 MeV for the νπ^{0} channel, assuming \|U_{e4}\|^{2}=\|U_{τ4}\|^{2}=0. These limits represent the most stringent constraints in the mass range 35<m_{HNL}<175 MeV and the first constraints from a direct search for νπ^{0} decays.<br />
Language	English
Publishing date	2024-02-09
Publishing country	United States
Document type	Journal Article
ZDB-ID	208853-8
ISSN	1079-7114 ; 0031-9007
ISSN (online)	1079-7114
ISSN	0031-9007
DOI	10.1103/PhysRevLett.132.041801
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