cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Three previously undescribed nor-eremophilane sesquiterpenoids from the fungus Penicillium sp. L1 associated with basalt fibre
Creators: name: Lai, Daohui
name: Gan, Guorong
Publisher: name: Taylor & Francis
Year: 2024
Subjects: subject: Biochemistry
subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Environmental Sciences not elsewhere classified
subject: Chemical Sciences not elsewhere classified
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Inorganic Chemistry
subject: FOS: Chemical sciences
subject: Plant Biology

description: Three new nor-eremophilane sesquiterpenoids, namely nor-eremophilanol A-C (1–3), along with two known eremophilanes (4–5), were isolated from the culture of the fungus Penicillium sp. L1 that was obtained from the surface of basalt fibre composite bars. The structures of the new compounds were elucidated by a combined analysis of the 1D, 2D NMR, and HRMS spectroscopic data, and the absolute configuration of 1 was determined by the modified Mosher’s method. The biosynthetic pathway leading to the nor-eremophilanes were proposed with the oxidative cleavage of the double bond as a key step. Compound 1 displayed antibacterial activities against the tested pathogenic bacteria.
Supplemental Material, Supplementary_Material_JICM-16-0266_R1 - Impact of an Antipsychotic Discontinuation Bundle During Transitions of Care in Critically Ill Patients
Creators: name: D’Angelo, Ryan G.
name: Rincavage, Molly
name: Tata, Asha L.
name: Millstein, Leah S.
name: Gulati, Mangla S.
name: Flurie, Rachel W.
name: Gonzales, Jeffrey P.
Publisher: name: SAGE Journals
Year: 2017
Subjects: subject: 110305 Emergency Medicine
subject: FOS: Clinical medicine
subject: 111702 Aged Health Care
subject: FOS: Health sciences
subject: 110203 Respiratory Diseases

description: Supplemental Material, Supplementary_Material_JICM-16-0266_R1 for Impact of an Antipsychotic Discontinuation Bundle During Transitions of Care in Critically Ill Patients by Ryan G. D’Angelo, Molly Rincavage, Asha L. Tata, Leah S. Millstein, Mangla S. Gulati, Rachel W. Flurie, and Jeffrey P. Gonzales in Journal of Intensive Care Medicine
Daily Predictors of ART Adherence Among Young Men Living with HIV Who Have Sex with Men: A Longitudinal Daily Diary Study
Creators: name: Se±a, Arlene C.
name: Cherenack, Emily M.
name: Psioda, Matthew
name: Rupp, Betty M.
name: Enders, Kimberly
Publisher: name: Springer Nature
Year: 2021

description: Improving adherence to antiretroviral therapy (ART) is essential for limiting HIV disease progression among young sexual minority men living with HIV. Daily diaries allow for a detailed examination of how fluctuations in psychosocial factors are associated with adherence over time. Across three cities in the United States, this study collected 60 days of quantitative data from 44 young men (between 16 and 24 years of age) living with HIV who have sex with men. Lagged transition models explored the associations of mood, stress, social support, substance use, and condomless intercourse with daily ART adherence. Baseline levels of illicit substance use and condomless intercourse, and a higher proportion of days with stress or marijuana use, were associated with lower ART adherence. Lapses in adherence predicted non-adherence the following day. Findings suggest prospective data collection may identify different predictors of adherence compared to retrospective recall. Lapse-management strategies are needed to improve adherence following a missed dose.
Impact of "Protocols for Enhancing Postoperative Recovery" on Postoperative Outcomes in Major Surgeries
Creators: name: Mohammad Ahamadullah, Nabin Kumar Yadav, Sabenaj Begam, Gulnaj Begam
Publisher: name: Zenodo
Year: 2025

description: Protocols for Enhancing Postoperative Recovery have improved perioperative care byincreasing better outcomes and reducing postoperative complications as well has reduced costs ofhealth care both before and after operation. This article we will discuss the impact of Protocols forEnhancing Postoperative Recovery on postoperative outcomes in various major surgeries(especially abdominall), key benefits, challenges in its implementation. As the topic suggest thatthis protocol helps in reducing post operative complications as well as use of opioids or otheranesthetic drugs during hospital stay duration and thus promoting early recovery. Even thoughpractice of this protocol has many benefits there are certain limitations related to differences inprotocol and policies of different institution . So we should come to common standard approachesin various multidisciplinary approaches for effectiveness of Protocols for Enhancing PostoperativeRecovery.
Deep Bayesian Hashing With Center Prior for Multi-Modal Neuroimage Retrieval
Creators: name: Yang, Erkun
name: Cao, Bing
name: Yap, Pew-Thian
name: Yao, Dongren
name: Lian, Chunfeng
name: Shen, Dinggang
name: Liu, Mingxia
Publisher: name: Institute of Electrical and Electronics Engineers (IEEE)
Year: 2021

description: Multi-modal neuroimage retrieval has greatly facilitated the efficiency and accuracy of decision making in clinical practice by providing physicians with previous cases (with visually similar neuroimages) and corresponding treatment records. However, existing methods for image retrieval usually fail when applied directly to multi-modal neuroimage databases, since neuroimages generally have smaller inter-class variation and larger inter-modal discrepancy compared to natural images. To this end, we propose a deep Bayesian hash learning framework, called CenterHash, which can map multi-modal data into a shared Hamming space and learn discriminative hash codes from imbalanced multi-modal neuroimages. The key idea to tackle the small inter-class variation and large inter-modal discrepancy is to learn a common center representation for similar neuroimages from different modalities and encourage hash codes to be explicitly close to their corresponding center representations. Specifically, we measure the similarity between hash codes and their corresponding center representations and treat it as a center prior in the proposed Bayesian learning framework. A weighted contrastive likelihood loss function is also developed to facilitate hash learning from imbalanced neuroimage pairs. Comprehensive empirical evidence shows that our method can generate effective hash codes and yield state-of-the-art performance in cross-modal retrieval on three multi-modal neuroimage datasets.
Deep embedding convolutional neural network for synthesizing CT image from T1-Weighted MR image
Creators: name: Qiao, Yu
name: Wang, Qian
name: Xiang, Lei
name: Zhang, Lichi
name: Shen, Dinggang
name: Jin, Xiyao
name: Nie, Dong
Publisher: name: Elsevier
Year: 2018

description: Recently, more and more attention is drawn to the field of medical image synthesis across modalities. Among them, the synthesis of computed tomography (CT) image from T1-weighted magnetic resonance (MR) image is of great importance, although the mapping between them is highly complex due to large gaps of appearances of the two modalities. In this work, we aim to tackle this MR-to-CT synthesis task by a novel deep embedding convolutional neural network (DECNN). Specifically, we generate the feature maps from MR images, and then transform these feature maps forward through convolutional layers in the network. We can further compute a tentative CT synthesis from the midway of the flow of feature maps, and then embed this tentative CT synthesis result back to the feature maps. This embedding operation results in better feature maps, which are further transformed forward in DECNN. After repeating this embedding procedure for several times in the network, we can eventually synthesize a final CT image in the end of the DECNN. We have validated our proposed method on both brain and prostate imaging datasets, by also comparing with the state-of-the-art methods. Experimental results suggest that our DECNN (with repeated embedding operations) demonstrates its superior performances, in terms of both the perceptive quality of the synthesized CT image and the run-time cost for synthesizing a CT image.
Supplemental Material, Supplemental_Tables_8.20.18 - Higher Levels of Intelligence and Executive Functioning Protect Maltreated Children Against Adult Arrests: A Prospective Study
Creators: name: Nikulina, Valentina
name: Widom, Cathy Spatz
Publisher: name: SAGE Journals
Year: 2018
Subjects: subject: 160299 Criminology not elsewhere classified
subject: FOS: Law

description: Supplemental Material, Supplemental_Tables_8.20.18 for Higher Levels of Intelligence and Executive Functioning Protect Maltreated Children Against Adult Arrests: A Prospective Study by Valentina Nikulina, and Cathy Spatz Widom in Child Maltreatment
Deep Learning Deformation Initialization for Rapid Groupwise Registration of Inhomogeneous Image Populations
Creators: name: Fan, Jingfan
name: Yap, Pew-Thian
name: Dong, Pei
name: Shen, Dinggang
name: Ahmad, Sahar
name: Cao, Xiaohuan
Publisher: name: Frontiers
Year: 2019

description: Groupwise image registration tackles biases that can potentially arise from inappropriate template selection. It typically involves simultaneous registration of a cohort of images to a common space that is not specified a priori. Existing groupwise registration methods are computationally complex and are only effective for image populations without large anatomical variations. In this paper, we propose a deep learning framework to rapidly estimate large deformations between images to significantly reduce structural variability. Specifically, we employ a multi-level graph coarsening method to agglomerate similar images into clusters, each represented by an exemplar image. We then use a deep learning framework to predict the initial deformations between images. Warping with the estimated deformations brings the images closer in the image manifold and their alignment can be further refined using conventional groupwise registration algorithms. We evaluated the effectiveness of our method in groupwise registration of MR brain images and compared it against state-of-the-art groupwise registration methods. Experimental results indicate that deformation initialization enables groupwise registration to converge significantly faster with competitive accuracy, therefore facilitates large-scale imaging studies.
AUT801617_Supplementary_material – Supplemental material for Predictors and growth in receptive vocabulary from 4 to 8 years in children with and without autism spectrum disorder: A population-based study
Creators: name: Brignell, Amanda
name: May, Tamara
name: Morgan, Angela T
name: Williams, Katrina
Publisher: name: SAGE Journals
Year: 2018
Subjects: Psychology not elsewhere classified
Psychiatry (incl. Psychotherapy)
Public Health and Health Services not elsewhere classified
Education
Special Education and Disability

description: Supplemental material, AUT801617_Supplementary_material for Predictors and growth in receptive vocabulary from 4 to 8 years in children with and without autism spectrum disorder: A population-based study by Amanda Brignell, Tamara May, Angela T Morgan and Katrina Williams in Autism
Pathways of connection: An analytical approach to the impacts of public diplomacy
Creators: name: Sevin, Efe
Publisher: name: Elsevier
Year: 2015
Subjects: Public diplomacy
Evaluation
Measurement
Pathways of connection
Soft power (Political science)
Public relations

description: Public diplomacy, albeit its functional similarities with public relations and other corporate communication tools, is inherently a foreign policy tool, used by practitioner states to advance their national interests and achieve their foreign policy goals. The purpose of this theoretical article is to provide a framework to analyze the impacts of public diplomacy projects by acknowledging both its communication aspect and political nature. The pathways of connection framework is built in two-steps. First, the public diplomacy concept is situated in international politics by evaluating the concept through mainstream inter- national relations theories. This evaluation yields three areas on which public diplomacy projects might have an impact. Second, the existing academic and practical measurement models are categorized under these areas and two pathways per area are presented. The theoretical framework can be used to understand different outcomes of public diplomacy projects and to provide a more accurate measurement of their success.
MSJ813108_supplementary_appendix – Supplemental material for Longitudinal study of functional brain network reorganization in clinically isolated syndrome
Creators: name: Koubiyr, Ismail
name: Deloire, Mathilde
name: Besson, Pierre
name: Coupé, Pierrick
name: Dulau, Cécile
name: Pelletier, Jean
name: Tourdias, Thomas
name: Audoin, Bertrand
name: Brochet, Bruno
name: Jean-Philippe Ranjeva
name: Ruet, Aurélie
Publisher: name: SAGE Journals
Year: 2018
Subjects: subject: 110904 Neurology and Neuromuscular Diseases
subject: FOS: Clinical medicine
subject: 111702 Aged Health Care
subject: FOS: Health sciences

description: Supplemental material, MSJ813108_supplementary_appendix for Longitudinal study of functional brain network reorganization in clinically isolated syndrome by Ismail Koubiyr, Mathilde Deloire, Pierre Besson, Pierrick Coupé, Cécile Dulau, Jean Pelletier, Thomas Tourdias, Bertrand Audoin, Bruno Brochet, Jean-Philippe Ranjeva and Aurélie Ruet in Multiple Sclerosis Journal
Demographic and Clinical Factors Associated With Nonsurgical Osteoarthritis Treatment Among Patients in Outpatient Clinics
Creators: name: Vina, Ernest
name: Arbeeva, Liubov
name: Callahan, Leigh F.
name: Kohrt, Wendy M.
name: Coffman, Cynthia J.
name: Allen, Kelli D.
name: Abbate, Lauren M.
name: Jeffreys, Amy S.
name: Schwartz, Todd A.
name: Negbenebor, Nicole A.
name: Schwartz, Robert S.
Publisher: name: Wiley
Year: 2018

description: OBJECTIVE: To identify patient demographic and clinical characteristics associated with osteoarthritis (OA) treatment use. METHODS: This was a secondary data analysis of 3 clinical trials among patients with hip or knee OA conducted in Duke Primary Care practices, the Durham Veterans Affairs (VA) Health Care System, and the University of North Carolina-Chapel Hill (UNC). At baseline, participants reported sociodemographic characteristics, OA-related pain and function, and OA treatment use, including oral analgesics, topical creams, joint injections, and physical therapy. Separate, multivariable logistic models (adjusted for clustering of clinics and providers for the Duke and VA cohorts) were used to estimate odds ratios (ORs) and 95% confidence intervals (95% CIs) for the associations between participant characteristics and each type of OA treatment. RESULTS: Oral analgesic use was reported by 70-82% of participants across the 3 cohorts. Physical therapy, knee injections, and topical creams were used by 39-52%, 55-60%, and 25-39% of Duke, VA, and UNC participants, respectively. In multivariable models, worse pain, stiffness, and function, per 5-unit increase, were associated with greater odds of using any oral analgesic for the cohorts from Duke (OR 1.18 [95% CI 1.08-1.28]) and UNC (OR 1.14 [95% CI 1.05-1.24]), but not for the VA cohort (OR 1.04 [95% CI 0.95-1.14]). For all 3 cohorts, nonwhites had higher odds of using topical creams compared to whites. CONCLUSION: Results suggest potential underutilization of therapies other than oral analgesics. Patient characteristics may affect OA treatment use, and understanding the relationship between these factors and OA treatment preferences may improve adherence to OA treatment guidelines.
The impact of presidential campaigning for congress on presidential support in the U.S. House of Representatives
Creators: name: McTague, John
name: Herrnson, Paul S.
name: Morris, Irwin L.
Publisher: name: Wiley
Year: 2011
Subjects: Presidential campaigns -- United States
Congressional policymaking

description: Presidential influence is partly a function of the partisan, economic, and international context within which the president governs. Presidents are, however, more than bystanders relying on the political milieu for policy opportunities. Recent scholarship demonstrates that presidents consciously influence this milieu and build political capital by campaigning for congressional candidates. We contribute to this literature by assessing the effects of presidential campaigning on legislative support for two presidents who governed under extremely dissimilar circumstances: Bill Clinton in the 106th Congress and George W. Bush in the 108th Congress. We find evidence of campaign effects on congressional policymaking during both administrations.
An “authoritarian apring?” authoritarianism and the 2018 midterm elections
Creators: name: McTague, John
name: Cizmar, Anne M.
Publisher: name: De Gruyter
Year: 2018
Subjects: Authoritarianism
Elections -- United States -- 2018

description: This paper examines the role of authoritarianism in the 2018 US congressional elections. In particular, we assess whether the issues that have historically been central to the authoritarian divide in the American electorate were salient in the campaigns of several important Senate races. We demonstrate that authoritarian attitudes played a consistent, significant role on presidential vote choice, party identification, and numerous policy areas in the 2016 presidential election using data from the American National Election Studies. Using case studies of six Senate races in the 2018 midterm elections, we find that authoritarianism was more muted than in 2016, and that the role of authoritarianism varied considerably depending upon the race. States with stronger Trump support in 2016 featured authoritarianism more heavily than states with less Trump support in 2016, but authoritarianism overall was not as prominent in 2018 as in 2016. Overall, Senate candidates relied on traditional campaign messages related to candidate qualifications, personal attacks, the economy, and other messages less central to authoritarianism.
Willingness to get HPV vaccination among female university students in Kuwait and its relation to vaccine conspiracy beliefs
Creators: name: Alsanafi, Mariam
name: Salim, Nesreen A.
name: Sallam, Malik
Publisher: name: Taylor & Francis
Year: 2023
Subjects: subject: Medicine
subject: Biotechnology
subject: Sociology
subject: FOS: Sociology
subject: Immunology
subject: FOS: Clinical medicine
subject: Cancer
subject: Science Policy
subject: Infectious Diseases
subject: FOS: Health sciences

description: A substantial burden of high-risk human papillomavirus (HPV) infections and HPV-related cancers can be mitigated by vaccination. The current study aimed to investigate the willingness of female students at the University of Kuwait to get HPV vaccination and its possible association with general vaccine conspiracy beliefs (VCBs). This cross-sectional survey study was conducted during September–November 2022 using a validated VCB scale as the survey instrument. The final sample comprised 611 respondents with a median age of 22 y and a majority of Arab ethnicity (n = 600, 98.2%). Only 360 respondents (56.9%) heard of HPV before participation and these students showed an above-average level of HPV knowledge (mean knowledge score of 12.7 ± 2.6 out of 16 as the maximum score), of whom only 33 self-reported HPV vaccine uptake (9.2%). The willingness to accept free-of-charge HPV vaccination was seen among 69.8% of the participants, with 20.1% who were hesitant and 10.1% who were resistant. The acceptance of HPV vaccination if payment is required was 23.1%. Reasons for HPV vaccine hesitancy/resistance included complacency to the HPV disease risks, lack of confidence in HPV vaccination, and inconvenience. The embrace of VCBs was associated with significantly higher odds of HPV vaccine hesitancy/resistance. The current study showed the detrimental impact of endorsing vaccine conspiracy beliefs manifested in lower intention to get HPV vaccination among female university students in Kuwait. This should be considered in vaccine promotion efforts aiming to reduce the burden of HPV cancers.
Deformable Image Registration Using a Cue-Aware Deep Regression Network
Creators: name: Yap, Pew-Thian
name: Cao, Xiaohuan
name: Zhang, Jun
name: Shen, Dinggang
name: Wang, Qian
name: Yang, Jianhua
Publisher: name: Institute of Electrical and Electronics Engineers (IEEE)
Year: 2018

description: SIGNIFICANCE: Analysis of modern large-scale, multicenter or diseased data requires deformable registration algorithms that can cope with data of diverse nature. OBJECTIVE: We propose a novel deformable registration method, which is based on a cue-aware deep regression network, to deal with multiple databases with minimal parameter tuning. METHODS: Our method learns and predicts the deformation field between a reference image and a subject image. Specifically, given a set of training images, our method learns the displacement vector associated with a pair of reference-subject patches. To achieve this, we first introduce a key-point truncated-balanced sampling strategy to facilitate accurate learning from the image database of limited size. Then, we design a cue-aware deep regression network, where we propose to employ the contextual cue, i.e., the scale-adaptive local similarity, to more apparently guide the learning process. The deep regression network is aware of the contextual cue for accurate prediction of local deformation. RESULTS AND CONCLUSION: Our experiments show that the proposed method can tackle various registration tasks on different databases, giving consistent good performance without the need of manual parameter tuning, which could be applicable to various clinical applications.
COVID-19 vaccination in people living with HIV and AIDS (PLWHA) in China: A cross-sectional study
Creators: name: Lv, Xuan
name: Zhao, Chaobo
name: Song, Bing
name: Huang, Huihuang
name: Song, Su
name: Long, Hai
name: Liu, Weidong
name: Du, Min
name: Liu, Min
name: Liu, Jue
Publisher: name: Taylor & Francis
Year: 2023
Subjects: subject: Medicine
subject: Sociology
subject: FOS: Sociology
subject: Immunology
subject: FOS: Clinical medicine
subject: Cancer

description: COVID-19 appears to put people living with HIV and AIDS (PLWHA) at a higher risk of catastrophic consequences and mortality. However, investigations on the hesitancy and vaccination behavior of PLWHA in China were lacking compared to the general population. From January 2022 to March 2022, we conducted a multi-center cross-sectional survey of PLWHA in China. Logistic regression models were used to examine factors associated to vaccine hesitancy and COVID-19 vaccine uptake. Among 1424 participants, 108 participants (7.6%) were hesitant to be vaccinated while 1258 (88.3%) had already received at least one dose of the COVID-19 vaccine. Higher COVID-19 vaccine hesitancy was associated with older age, a lower academic level, chronic disease, lower CD4+ T cell counts, severe anxiety and despair, and high perception of illness. Lower education level, lower CD4+ T cell counts, and significant anxiety and depression were all associated with a lower vaccination rate. When compared to vaccinated participants, those who were not hesitant but nevertheless unvaccinated had a higher presence of chronic disease and lower CD4+ T cell count. Tailored interventions (e.g. targeted education programs) based on these linked characteristics were required to alleviate concerns for PLWHA in promoting COVID-19 vaccination rates, particularly for PLWHA with lower education levels, lower CD4+ T cell counts, and severe anxiety and depression.
Supplemental Material, Singh_ART40726_Supplementary_Appendix_3_PsA_Search_Strategies - 2018 American College of Rheumatology/National Psoriasis Foundation Guideline for the Treatment of Psoriatic Arthritis
Creators: name: Singh, Jasvinder A.
name: Guyatt, Gordon
name: Ogdie, Alexis
name: Gladman, Dafna D.
name: Deal, Chad
name: Deodhar, Atul
name: Dubreuil, Maureen
name: Dunham, Jonathan
name: M. Elaine Husni
name: Kenny, Sarah
name: Kwan-Morley, Jennifer
name: Lin, Janice
name: Marchetta, Paula
name: Mease, Philip J.
name: Merola, Joseph F.
name: Miner, Julie
name: Ritchlin, Christopher T.
name: Siaton, Bernadette
name: Smith, Benjamin J.
name: Voorhees, Abby S. Van
name: Jonsson, Anna Helena
name: Shah, Amit Aakash
name: Sullivan, Nancy
name: Turgunbaev, Marat
name: Coates, Laura C.
name: Gottlieb, Alice
name: Magrey, Marina
name: W. Benjamin Nowell
name: Ana-Maria Orbai
name: Soumya M. Reddy
name: Scher, Jose U.
name: Siegel, Evan
name: Siegel, Michael
name: Walsh, Jessica A.
name: Turner, Amy S.
name: Reston, James
Publisher: name: SAGE Journals
Year: 2018
Subjects: Medicine

description: Supplemental Material, Singh_ART40726_Supplementary_Appendix_3_PsA_Search_Strategies for 2018 American College of Rheumatology/National Psoriasis Foundation Guideline for the Treatment of Psoriatic Arthritis by Jasvinder A. Singh, Gordon Guyatt, Alexis Ogdie, Dafna D. Gladman, Chad Deal, Atul Deodhar, Maureen Dubreuil, Jonathan Dunham, M. Elaine Husni, Sarah Kenny, Jennifer Kwan-Morley, Janice Lin, Paula Marchetta, Philip J. Mease, Joseph F. Merola, Julie Miner, Christopher T. Ritchlin, Bernadette Siaton, Benjamin J. Smith, Abby S. Van Voorhees, Anna Helena Jonsson, Amit Aakash Shah, Nancy Sullivan, Marat Turgunbaev, Laura C. Coates, Alice Gottlieb, Marina Magrey, W. Benjamin Nowell, Ana-Maria Orbai, Soumya M. Reddy, Jose U. Scher, Evan Siegel, Michael Siegel, Jessica A. Walsh, Amy S. Turner, and James Reston in Journal of Psoriasis and Psoriatic Arthritis
Public health impact of recombinant zoster vaccine for prevention of herpes zoster in US adults immunocompromised due to cancer
Creators: name: Curran, Desmond
name: Patterson, Brandon J.
name: Carrico, Justin
name: Salem, Ahmed
name: La, Elizabeth M.
name: Lorenc, Stéphane
name: Hicks, Katherine A.
name: Poston, Sara
name: Carpenter, Christopher F.
Publisher: name: Taylor & Francis
Year: 2023
Subjects: subject: Medicine
subject: Biotechnology
subject: Immunology
subject: FOS: Clinical medicine
subject: Mathematical Sciences not elsewhere classified
subject: Cancer
subject: Science Policy
subject: Infectious Diseases
subject: FOS: Health sciences

description: Individuals who are immunocompromised (IC) due to therapy or underlying disease are at increased risk of herpes zoster (HZ). This study evaluates the public health impact of recombinant zoster vaccine (RZV) relative to no HZ vaccination for the prevention of HZ among adults aged ≥18 years diagnosed with selected cancers in the United States (US). A static Markov model was used to simulate three cohorts of individuals who are IC with cancer (time horizon of 30 years; one-year cycle length): hematopoietic stem cell transplant (HSCT) recipients, patients with breast cancer (BC; a solid tumor example), and patients with Hodgkin’s lymphoma (HL; a hematological malignancy example). Cohort sizes reflect the estimated annual incidence of each condition in the US population (19,671 HSCT recipients, 279,100 patients with BC, and 8,480 patients with HL). Vaccination with RZV resulted in 2,297; 38,068; and 848 fewer HZ cases for HSCT recipients, patients with BC, and patients with HL, respectively (each versus no vaccine). Vaccination with RZV also resulted in 422; 3,184; and 93 fewer postherpetic neuralgia cases for HSCT, BC, and HL, respectively. Analyses estimated the quality-adjusted life years gained to be 109, 506, and 17 for HSCT, BC, and HL, respectively. To prevent one HZ case, the number needed to vaccinate was 9, 8, and 10, for HSCT, BC, and HL, respectively. These results suggest RZV vaccination may be an effective option to significantly reduce HZ disease burden among patients diagnosed with selected cancers in the US. Shingles cases can be prevented by recombinant zoster vaccine (RZV). People who have a weakened immune system (immunocompromised) due to disease or therapy are more likely to develop shingles. For example, shingles occurs in nearly a quarter of patients receiving immunosuppressive treatment for blood cancers. To estimate the public health impact of vaccination against shingles in people who are immunocompromised due to cancer in the United States (US), we used a model to simulate groups with selected types of cancer. The results indicate vaccination with RZV can significantly reduce shingles cases and related complications among these groups in the US.
Additional file 1 of Exploration of inter-jurisdictional TB programming and mobility in a Canadian First Nation community
Creators: name: Heendeniya Vidanaral, Apeksha
name: Long, Richard
name: Heffernan, Courtney
name: Abonyi, Sylvia
name: Clarke, Sherry
name: Hackett, Paul
Publisher: name: figshare
Year: 2024
Subjects: Medicine
Biotechnology
Biological Sciences not elsewhere classified
Computational Biology

description: Additional file 1.
Stereolithographic Rapid Prototyping of Clear, Foldable, Non-Refractive Intraocular Lens Designs: A Proof-of-Concept Study
Creators: name: Hidalgo-Alvarez, Veronica
name: Falcon, Noelia D.
name: Eldred, Julie
name: Wormstone, Michael
name: Saeed, Aram
Publisher: name: Taylor & Francis
Year: 2024
Subjects: subject: Biophysics
subject: Space Science
subject: Medicine
subject: Genetics
subject: FOS: Biological sciences
subject: Neuroscience
subject: Biotechnology
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Science Policy

description: A cataract is a cloudy area in the crystalline lens. Cataracts are the leading cause of blindness and the second cause of severe vision impairment worldwide. During cataract surgery, the clouded lens is extracted and replaced with an artificial intraocular lens, which restores the optical power. The fabrication of intraocular lenses using existing molding and lathing techniques is a complex and time-consuming process that limits the development of novel materials and designs. To overcome these limitations, we have developed a stereolithography-based process for producing models of clear lens designs without refractive function, serving as a proof of concept. This process has the potential to contribute toward new lens development, allowing for unlimited design iterations and an expanded range of materials for scientists to explore. Lens-like 3D objects without refractive function were fabricated by using stereolithography. A photopolymerizable resin containing 2-phenoxyethyl acrylate, poly (ethylene glycol) dimethacrylate, and a suitable photoinitiator was developed for the production of lens-like 3D object prototypes. The morphology of the printed devices was characterized by scanning electron microscopy. The transparency and thermal properties were analyzed using spectrophotometry and differential scanning calorimetry, respectively. The biocompatibility of the devices was investigated in a cultured human lens cell line (FHL-124), using a standard lactate dehydrogenase assay, and the lenses were folded and implanted in the human capsular bag model. One-piece lens-like 3D objects without refractive function and with loop-haptic design were successfully fabricated using Stereolithography (SLA) technique. The resulting 3D objects were transparent, as determined by UV spectroscopy. The lactate dehydrogenase test demonstrated the tolerance of lens cells to the prototyping material, and apparent foldability and shape recovery was observed during direct injection into a human capsular bag model in vitro. This proof-of-principle study demonstrated the potential and significance of the rapid prototyping process for research and development of lens-like 3D object prototypes, such as intraocular lenses.
Optimizing Cooling System Operations with Informed ML and a Digital Twin
Creators: name: Wallner, Steffen
name: Bernard, Thomas
name: Kühnert, Christian
name: :Unav
Publisher: name: Fraunhofer-Gesellschaft
Year: 2025

description: Today, there are a variety of cooling systems available to serve smaller data centers, industrial plants or office buildings. These are often one-off installations, and in most cases their control parameters are set at the time of installation and are not changed subsequently. In addition, these parameters are set conservatively and are not designed for energy-optimized operation. A digital twin of the plant, including a simulation model, is essential to bring the cooling system closer to energy-optimized operation over its lifetime, but this is not usually the case. One of the main reasons is that digital twins are expensive and time-consuming to create. However, today’s cooling systems are extensively equipped with sensors, so this information can be used and the effort to create a digital twin is greatly reduced. This chapter proposes an approach to generate parts of the digital twin for the cooling system from measured data by using ML methods. In a subsequent step, this digital twin is used to calculate the effects of alternative control parameters, and the results are presented to the operator in an understandable way. Combined with appropriate monitoring this allows the operator to make informed decisions to adjust the control parameters accordingly.
AITwin: A Uniform Digital Twin Interface for Artificial Intelligence Applications
Creators: name: Diedrich, Alexander
name: Kühnert, Christian
name: Maier, Georg
name: Schraven, Joshua
name: Niggemann, Oliver
name: :Unav
Publisher: name: Fraunhofer-Gesellschaft
Year: 2025

description: Cyber-physical systems that integrate machine learning (ML)-based services and methods from the broader field of Artificial Intelligence (AI) rely on a virtual representation of the underlying real physical system. Unfortunately, depending on respective solution approaches, usually similar but rarely the same virtual representation of the physical system is required. Thus, two solutions for the same problem might use different virtual representations. Informed Machine Learning is one technique to integrate expert knowledge into AI applications. It uses techniques to combine an often proprietary and expert-defined virtual representation with data from a real cyber-physical system. But methods for Informed ML have a much higher demand on the virtual representation than, for example, traditional distance-based methods in Machine Learning. Informed ML requires domain specific knowledge, which needs to be represented in some standardized Digital Twin as its virtual representation. Practitioners benefit through some categorization indicating which Digital Twin can be used to acquire a unique virtual representation of a cyber-physical system. Especially, by using a common standardized application programming interface (API). In short: a standardized Digital Twin is needed for AI-based solutions. In this chapter, such an API for Digital Twins for AI solutions is presented and different levels of complexity for Digital Twins are defined. The suggested API is considered as an AI reference model and is verified by using it on several simulated and real examples from the process and manufacturing industries. Additionally, it is compared against currently ongoing research projects.
Factors influencing attitudes toward vaccine safety and vaccine effectiveness amongst UK healthcare professionals prior to and at the time of COVID-19 vaccine rollout: Insights from the CoPE-HCP cohort study
Creators: name: Collett, George
name: Godec, Thomas
name: Gupta, Ajay K.
Publisher: name: Taylor & Francis
Year: 2023
Subjects: subject: Medicine
subject: Biotechnology
subject: Sociology
subject: FOS: Sociology
subject: Immunology
subject: FOS: Clinical medicine
subject: Science Policy
subject: Infectious Diseases
subject: FOS: Health sciences

description: Given the potential for nosocomial outbreaks, we must understand factors associated with negative vaccine attitudes amongst healthcare professionals (HCPs) before the rollout of a newly developed vaccine in a pandemic setting. The aim of this prospective cohort study was to study the impact of preexisting and prevailing mental health on United Kingdom HCPs’ attitudes towards a newly developed COVID-19 vaccine. Two online surveys were distributed: first during vaccine development (July–September, 2020) and second during nationwide vaccine rollout (December 2020–March 2021). Mental health (PHQ-9 for depression; GAD-7 for anxiety) was assessed in both surveys. Negative attitude regarding vaccine safety and vaccine effectiveness was assessed at vaccine rollout. A series of logistic regression models were developed relating mental health (preexisting during vaccine development, ongoing and new-onset during rollout, and changes in symptom severity) to negative vaccine attitudes. In 634 HCPs, the presence of depression and/or anxiety during vaccine development was associated with elevated negative attitude towards vaccine safety (adj. OR 1.74 [95% CI 1.10–2.75], p = .02), but not vaccine effectiveness (1.13 [0.77–1.66], p = .53) at rollout. This was independent of other characteristics: age, ethnicity, professional role, and history of contracting COVID-19. Ongoing depression and/or anxiety (1.72 [1.10–2.69], p = .02) was associated with elevated negative attitude regarding vaccine effectiveness, but not vaccine safety. Worsened combined symptom scores over time were associated with elevated negative vaccine effectiveness attitudes (1.03 [1.00–1.05], p < .05), but not vaccine safety. Overall, adverse mental health can impact on HCPs’ attitudes towards a newly developed vaccine. Further work is required to understand how this translates to vaccine uptake.
Design and Analysis Considerations for a Sequentially Randomized HIV Prevention Trial
Creators: name: Benkeser, David
name: Reback, Cathy J.
name: Horvath, Keith
name: Hudgens, Michael
name: Rusow, Joshua
Publisher: name: Springer Nature
Year: 2020

description: The TechStep study is an ongoing randomized controlled trial in HIV-negative transgender youths and young adults, which will evaluate the efficacy of mobile health interventions for reducing risk behaviors. Several mobile interventions are available, which complicates the design. To evaluate different combinations of mHealth interventions, TechStep is utilizing a sequentially randomized design. In this work, we discuss the motivation for this design, propose robust methodology for the analysis of the trial, and evaluate the methodology via simulation.
Preventing Biofouling In Steam Condensers: The Matching Approach
Creators: name: Onderwater, Rob
name: Poelman, Mireille
name: Peerterbroeck, Sophie
name: Cumbo, Danila
Publisher: name: Zenodo
Year: 2016
Subjects: biofouling, condenser, water saving, material, coatings

description: The Poster describes the activities that will be performed in the frame of the EU MATChING project for the reduction of biofouling phenomen in steam condenser through the use of advanced materials and coatings
The potential effect of HBV vaccination on off-treatment HBsAg reversion after interferon-induced HBsAg clearance
Creators: name: Jiang, Shaowen
name: Cai, Minghao
name: Zhang, Zhenglan
name: Qian, Cong
name: Wang, Jiexiao
name: Li, Ziqiang
name: Guo, Qing
name: Zhou, Huijuan
name: Xin, Haiguang
name: Cai, Wei
name: Wang, Hui
name: Guo, Simin
name: Huang, Yan
name: Xie, Qing
Publisher: name: Taylor & Francis
Year: 2023
Subjects: subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Pharmacology
subject: Biotechnology
subject: Immunology
subject: FOS: Clinical medicine
subject: Mathematical Sciences not elsewhere classified
subject: Cancer
subject: Infectious Diseases
subject: FOS: Health sciences
subject: Virology

description: Off-treatment HBsAg reversion occurs in a considerable number of chronic hepatitis B(CHB) patients after IFN(interferon)-induced HBsAg clearance. HBV vaccination protects the general population against HBV infection. However, it remains unclear whether HBV vaccination could prevent off-treatment HBsAg reversion in CHB patients with HBsAg clearance. CHB patients (n = 199) with HBsAg clearance were included in the current study, comprising spontaneous HBsAg clearance group (n = 51), NA (nucleoside/nucleotide analogues)-induced group (n = 36) and IFN-induced group (n = 112). Log-rank test was performed to compare the cumulative incidences of HBsAg reversion between groups. Cox regression model was used to identify the factors associated with off-treatment HBsAg reversion. The 5-year cumulative incidence of HBsAg reversion in IFN-induced group was significantly higher than that in NA-induced group or spontaneous group (27.6% vs. 3.3% vs. 8.1%, both p < .05). In IFN-induced group, 66.7% of CHB patients received HBV vaccination. The cumulative incidence of HBsAg reversion in individuals with strong responses to HBV vaccination (HBsAb level >100mIU/ml) was significantly lower than that in those with weak responses to HBV vaccination (HBsAb level ≤100mIU/ml) or without HBV vaccination in IFN-induced group (7.7% vs. 58.5% vs. 31.9%, both p < .05). Multivariate Cox regression analysis confirmed strong responses to HBV vaccination were independently associated with a lower cumulative incidence of HBsAg reversion after IFN-induced HBsAg clearance (HR = 0.246, 95%CI: 0.066–0.907, p = .035). HBV vaccination has potential to prevent off-treatment HBsAg reversion in CHB patients after IFN-induced HBsAg clearance via a sufficiently high level of HBsAb, helping clinicians optimize the clinical management of such patients.
Appendix – Supplemental material for Ontology based social life cycle assessment for product development
Creators: name: Shang, Zhen
name: Meidan Wang
name: Daizhong Su
name: Qinhui Liu
name: Shifan Zhu
Publisher: name: SAGE Journals
Year: 2018
Subjects: subject: 99999 Engineering not elsewhere classified
subject: FOS: Other engineering and technologies

description: Supplemental material, Appendix for Ontology based social life cycle assessment for product development by Zhen Shang, Meidan Wang, Daizhong Su, Qinhui Liu and Shifan Zhu in Advances in Mechanical Engineering
Preparing for Group B Streptococcus vaccine. Attitudes of pregnant women in two countries
Creators: name: Geoghegan, Sarah
name: Faerber, Jennifer
name: Stephens, Laura
name: Gillan, Hannah
name: Drew, Richard J.
name: Eogan, Maeve
name: Feemster, Kristen A.
name: Butler, Karina M.
Publisher: name: Taylor & Francis
Year: 2023
Subjects: subject: Medicine
subject: Cell Biology
subject: Pharmacology
subject: Biotechnology
subject: Environmental Sciences not elsewhere classified
subject: Sociology
subject: FOS: Sociology
subject: Immunology
subject: FOS: Clinical medicine
subject: Mathematical Sciences not elsewhere classified
subject: Science Policy
subject: Infectious Diseases
subject: FOS: Health sciences
subject: Computational Biology

description: Group B Streptococcus (GBS) vaccines, designed to be given to pregnant women, are in clinical trials. There is an opportunity to conduct preparatory research now to understand the drivers of and barriers to GBS vaccine acceptance. This will enable targeted interventions so that delays in vaccine uptake might be avoided. A multicenter, mixed-methodology, cross-sectional study evaluated the acceptability of a hypothetical GBS vaccine among pregnant women in two countries with differing health systems. Pregnant women in Philadelphia, US, and Dublin, Ireland, completed an electronic survey and a Discrete Choice Experiment. Five hundred and two women were included in the final analysis. Fifty-three percent of US and 30% of Irish participants reported both awareness and understanding of GBS. The median likelihood score for vaccine receipt (measured on a 10-point scale) was 9 (US: 9 (IQR 7–10), IRL: 9 (IQR 6–10)). Among the US participants, identifying as Black or African American was associated with a lower likelihood of vaccine receipt. Possession of a college degree was associated with increased likelihood of vaccine receipt. Perceived infant benefit was the most important driver of GBS vaccine acceptance. Safety concerns about a novel vaccine was the most prominent barrier identified. Good GBS vaccine uptake is achievable through strong messaging that highlights vaccine safety and the potential infant benefits. Preparation for vaccine implementation should include efforts to increase awareness among pregnant women about GBS infection and a continued focus on improving acceptability of currently recommended maternal vaccines, particularly in population subgroups with low uptake of maternal immunizations.
Variables and the Variable Cascade
Creators: name: DDI Training Group
Publisher: name: Zenodo
Year: 2021
Subjects: ddi
metadata
documentation standard
ddi lifecycle
ddi cross domain integration
variable
variable cascade

description: Introduces one of the core features of DDI Lifecycle and DDI Cross Domain Integration, the nuanced model of variables as they perform different functions within data sets and between them: the “variable cascade”.

 Foundational DDI Metadata is split into five modules:

Introduction to Concepts in DDI, which should be used first

Concept Systems – classifications, thesauri and Ontologies

Unit, Unit Type, Universe, and Population

Variables and Variable Cascade

Representations – Codes and categories

There are 26 slides in this deck.
Detecting Anatomical Landmarks From Limited Medical Imaging Data Using Two-Stage Task-Oriented Deep Neural Networks
Creators: name: Liu, Mingxia
name: Shen, Dinggang
name: Zhang, Jun
Publisher: name: Institute of Electrical and Electronics Engineers (IEEE)
Year: 2017

description: One of the major challenges in anatomical landmark detection, based on deep neural networks, is the limited availability of medical imaging data for network learning. To address this problem, we present a two-stage task-oriented deep learning method to detect large-scale anatomical landmarks simultaneously in real time, using limited training data. Specifically, our method consists of two deep convolutional neural networks (CNN), with each focusing on one specific task. Specifically, to alleviate the problem of limited training data, in the first stage, we propose a CNN based regression model using millions of image patches as input, aiming to learn inherent associations between local image patches and target anatomical landmarks. To further model the correlations among image patches, in the second stage, we develop another CNN model, which includes a) a fully convolutional network that shares the same architecture and network weights as the CNN used in the first stage and also b) several extra layers to jointly predict coordinates of multiple anatomical landmarks. Importantly, our method can jointly detect large-scale (e.g., thousands of) landmarks in real time. We have conducted various experiments for detecting 1200 brain landmarks from the 3D T1-weighted magnetic resonance images of 700 subjects, and also 7 prostate landmarks from the 3D computed tomography images of 73 subjects. The experimental results show the effectiveness of our method regarding both accuracy and efficiency in the anatomical landmark detection.