bluuebunny/crossref_metadata_2025_split huggingface dataset:
Lung cancer incidence among world trade center rescue and recovery workers
Authors: Sigel Keith , de la Hoz Rafael E. , Markowitz Steven B. , Kong Chung Yin , Stone Kimberly , Todd Andrew C. , Wisnivesky Juan P. 
Published: March 2022

AbstractBackgroundMany World Trade Center disaster (WTC) rescue and recovery workers (WTC RRWV) were exposed to toxic inhalable particles. The impact of WTC exposures on lung cancer risk is unclear.MethodsData from the WTC Health Program General Responders Cohort (WTCGRC) were linked to health information from a large New York City health system to identify incident lung cancer cases. Incidence rates for lung cancer were then calculated. As a comparison group, we created a microsimulation model that generated expected lung cancer incidence rates for a WTC‐ and occupationally‐unexposed cohort with similar characteristics. We also fitted a Poisson regression model to determine specific lung cancer risk factors for WTC RRWV.ResultsThe incidence of lung cancer for WTC RRWV was 39.5 (95% confidence interval [CI]: 30.7–49.9) per 100,000 person‐years. When compared to the simulated unexposed cohort, no significant elevation in incidence was found among WTC RRWV (incidence rate ratio [IRR] 1.34; 95% CI: 0.92–1.96). Predictors of lung cancer incidence included age, smoking intensity, and years since quitting for former smokers. In adjusted models evaluating airway obstruction and individual pre‐WTC occupational exposures, only mineral dust work was associated with lung cancer risk (IRR: 2.03; 95% CI: 1.07–3.86).DiscussionIn a sample from a large, prospective cohort of WTC RRWV we found a lung cancer incidence rate that was similar to that expected of a WTC‐ and occupationally‐unexposed cohort with similar individual risk profiles. Guideline‐concordant lung cancer surveillance and periodic evaluations of population‐level lung cancer risk should continue in this group.
Synthesis of Hybrid Tripeptide Peptidomimetics Containing Dehydroamino Acid and Aminophosphonic Acid in the Chain and Evaluation of Their Activity toward Cathepsin C
Authors: Jewgiński Michał Paweł , Makowski Maciej , Pawełczak Małgorzata , Goldeman Waldemar , Trojanowska‐Laskowska Alicja , Kafarski Paweł , Latajka Rafał 
Published: March 2022

AbstractSynthesis of a new group of hybrid phosphonodehydropeptides composed of glycyl‐(Z)‐dehydrophenylalanine and structurally variable aminophosphonates alongside with investigations of their activity towards cathepsin C are presented. Obtained results suggest that the introduction of (Z)‐dehydrophenylalanine residue into the short phosphonopeptide chain does induce the ordered conformation. Investigated peptides appeared to act as weak or moderate inhibitors of cathepsin C.
Acute air embolism caused by autotransfusion during percutaneous atrial septal defect closure: A case report
Authors: Liao Yu‐Qi , Zhang Meng‐Qiu 
Published: March 2022

AbstractAtrial septal defect is a common congenital heart disease in adults and it is often asymptomatic. Percutaneous device closure is gaining popularity, but percutaneous repair of atrial septal defect leading to left atrial rupture and subsequent autotransfusion under high pressure leading to air embolism has not been reported yet.
Bifocal intracholecystic tubulopapillary neoplasm: A rare and distinct tumor of the gallbladder
Authors: Limaiem Faten , Omrani Sahir , Hajri Mohamed , Baccouche Seifeddine 
Published: March 2022

AbstractIntracholecystic papillary‐tubular neoplasms are rare precancerous and polypoid lesions of the gallbladder, found in nearly 0.4% of cholecystectomy specimens. They follow the adenoma‐carcinoma sequence. About half the cases are associated with invasive carcinoma. Their diagnosis relies on histopathological examination with extensive sampling of the surgical specimen.
ZrxPr1–xOy Solid Solution‐Supported Cobalt‐Based Catalysts for Hydrogen Production
Authors: Huang Jia , Liu Yan , Ding Chenyu , Liao Fuxia , Shu Chenghong , Huang Lihong 
Published: March 2022

AbstractTo obtain high yields of hydrogen, a series of ZrxPr1–xOy‐supported cobalt catalysts were synthesized by the sol‐gel method and tested in autothermal reforming (ATR) of acetic acid (HAc) derived from bio‐oil. X‐ray diffraction, nitrogen physisorption, H2‐temperature‐programmed reduction, and thermogravimetric analysis were conducted to investigate the factors affecting the activities of the catalysts. Over the Co‐Zr‐Pr‐O catalyst, a ZrxPr1–xOy solid solution was formed after calcination; meanwhile, the active component of Co0 was highly dispersed over the solid solution after reduction in hydrogen for 1 h at 700 °C. As a result, stable reactivity was recorded in the ATR process of HAc: the hydrogen yield reached 2.58  with near 100 % HAc conversion, while better resistance to coking was observed.
Orthogonal Design of Fe−N4 Active Sites and Hierarchical Porosity in Hydrazine Oxidation Electrocatalysts
Authors: Shahaf Yair , Mahammed Atif , Raslin Arik , Kumar Amit , Farber Eliyahu M. , Gross Zeev , Eisenberg David 
Published: March 2022

AbstractHydrazine is a promising energy‐dense fuel for alkaline fuel cells. To design efficient and affordable electrocatalysts for the hydrazine oxidation reaction (HzOR), one needs to control both the active site and the supporting scaffold. We now report a family of electrocatalysts for alkaline HzOR, consisting of atomically dispersed Fe−N4 sites (as iron corroles of varying sizes) on hierarchically porous, electronically conductive carbon scaffolds that were prepared by self‐templating from a novel barium‐based precursor. The orthogonal design of active sites and flow‐enhancing scaffolds allowed the rational optimization of their combination, to achieve excellent HzOR activity. These catalysts demonstrate the utility and versatility of metallocorroles for electrocatalysis in the nitrogen cycle, as well as the importance of pore tuning for optimization of the current density.
Influence of pulse modulation frequency on helium RF atmospheric pressure plasma jet characteristics
Authors: Mahreen  , Prakash G. Veda , Kar Satyananda , Sahu Debaprasad , Ganguli A. 
Published: March 2022

AbstractThis work investigates the influence of pulse modulation frequency ranging from 50 Hz–10 kHz on the helium RF atmospheric pressure plasma jet's fundamental characteristics. The impact of modulation frequency on plasma jet discharge behaviour, geometrical variation, reactive species emission, and plasma parameters (gas temperature Tg, electron excitation temperature Texc, and electron density (ne)) are studied using various diagnostics such as optical imaging, emission spectra, and thermal diagnostic. From the experiments, it is observed that operating the plasma jet at low pulse modulation frequencies (around 50 Hz) provides enhanced plasma dimensions, higher electron densities and greater optical emission from reactive species (viz., He I, O, OH, N2+, etc.) as compared to the higher modulation frequencies. Besides the low power consumption, three times less gas temperature of the modulated plasma jet than the continuous wave mode makes it more advantageous for the applications. Moreover, the influence of duty cycle (D) and applied RF power (P) on the plasma jet characteristics are also discussed. It is found that 10–40% duty cycle operation provides the most favourable attributes. More importantly, the concern of shorter plasma length in RF plasma jets is overcome by operating at 10–20% duty cycle with increased applied power. This work thoroughly characterizes helium atmospheric pressure RF plasma jet with a wide range of pulse mode operating parameters, which could help to select appropriate operating conditions for various industrial and biomedical applications.
LCMV induced downregulation of HVEM on antiviral T cells is critical for an efficient effector response
Authors: Diethelm Patrizia , Schmitz Iwana , Iten Irina , Kisielow Jan , Matsushita Mai , Kopf Manfred 
Published: March 2022

AbstractT‐cell responses against tumors and pathogens are critically shaped by cosignaling molecules providing a second signal. Interaction of herpes virus entry mediator (HVEM, CD270, TNFRSF14) with multiple ligands has been proposed to promote or inhibit T‐cell responses and inflammation, dependent on the context. In this study, we show that absence of HVEM did neither affect generation of effector nor maintenance of memory antiviral T cells and accordingly viral clearance upon acute and chronic lymphocytic choriomeningitis virus (LCMV) infection, due to potent HVEM downregulation during infection. Notably, overexpression of HVEM on virus‐specific CD8+ T cells resulted in a reduction of effector cells, whereas numbers of memory cells were increased. Overall, this study indicates that downregulation of HVEM driven by LCMV infection ensures an efficient acute response at the price of impaired formation of T‐cell memory.
Community co‐selection of measures to evaluate the health and wellbeing impact of Aboriginal and Torres Strait Islander community running groups
Authors: Macniven Rona , Delbaere Kim , Lewis Ebony , Radford Kylie , Canuto Karla , Dickson Michelle , Richards Justin , Gwynn Josephine , Withall Adrienne 
Published: March 2022

AbstractIssue addressedPhysical activity participation can improve the physical health and social and emotional wellbeing of Aboriginal and Torres Strait Islander peoples. The evaluation of physical activity programmes can elicit a clearer understanding of where these impacts occur and to what extent. We describe applying a collaborative approach to the selection of a set of measures that can be used to examine health and wellbeing impacts of Indigenous community running groups.MethodsPhysical activity, health and wellbeing measurement tools previously used with Aboriginal and Torres Strait Islander peoples were collated. Participants in the collaborative process were nine female running group members aged 30+ years from a regional New South Wales (NSW) town. The Indigenous research method, Yarning, explored views of participating in the group on health and wellbeing and how these could be measured using those collated measurement tools.ResultsRunners described participating for holistic physical, mental and social reasons and stated the importance of the group participating together and providing social support to each other. There was broad support for the identified physical activity, lifestyle, physical health, and social and emotional wellbeing measures, with social networks and sports injuries identified as additionally relevant.ConclusionsCo‐selecting measures to evaluate a physical activity programme for Aboriginal and Torres Strait Islander participants can better inform the development of relevant future healthy lifestyle programme evaluation, revealing factors that may be missed as relevant by researchers.So what?This process presents an example of determining evaluation measures with Aboriginal and Torres Strait Islander participants that could be applied more broadly to evaluation design.
Colonic adenocarcinoma with synchronous metastasis to the pancreas: A case report and literature review
Authors: Yoon Jennifer , Petrosyan Arpine , Wang Timothy , Ameer Adnan 
Published: March 2022

AbstractMetastatic lesions to the pancreas are a rare entity and make up about 0.5–5% of all pancreatic malignancies. Synchronous pancreatic metastasis is even less frequently reported. Before the widespread use of advanced endoscopic techniques, distinguishing between primary and secondary malignancies of the pancreas was diagnostically challenging. The accuracy of diagnosing metastatic lesions to the pancreas using endoscopic ultrasound with fine needle aspiration is around 91%. Distinguishing between primary and secondary lesions is crucial in determining disease management. We present a case of a young man who presented with synchronous pancreatic metastasis from colon adenocarcinoma.
Evaluation of Dynamic Contrast‐Enhanced MRI Measures of Lung Congestion and Endothelial Permeability in Heart Failure: A Prospective Method Validation Study
Authors: Cheriyan Joseph , Roberts Alexandra , Roberts Caleb , Graves Martin J. , Patterson Ilse , Slough Rhys A. , Schroyer Rosemary , Fernando Disala , Kumar Subramanya , Lee Sarah , Parker Geoffrey J.M. , Sarov‐Blat Lea , McEniery Carmel , Middlemiss Jessica , Sprecher Dennis , Janiczek Robert L. 
Published: March 2022

BackgroundMethods for accurate quantification of lung fluid in heart failure (HF) are needed. Dynamic contrast‐enhanced (DCE)‐MRI may be an appropriate modality.PurposeDCE‐MRI evaluation of fraction of fluid volume in the interstitial lung space (ve) and vascular permeability (Ktrans).Study TypeProspective, single‐center method validation.PopulationSeventeen evaluable healthy volunteers (HVs), 12 participants with HF, and 3 with acute decompensated HF (ADHF).Field Strength/SequenceT1 mapping (spoiled gradient echo variable flip angle acquisition) followed by dynamic series (three‐dimensional spoiled gradient‐recalled echo acquisitions [constant echo time, repetition time, and flip angle at 1.5 T]).AssessmentThree whole‐chest scans were acquired: baseline (Session 1), 1‐week later (Session 2), following exercise (Session 3). Extended Tofts model quantified ve and Ktrans (voxel‐wise basis); total lung median measures were extracted and fitted via repeat measure analysis of variance (ANOVA) model. Patient tolerability of the scanning protocol was assessed.Statistical TestsThis was constructed as an experimental medicine study. Primary endpoints: Ktrans and ve at baseline (HV vs. HF), change in Ktrans and ve following exercise, and following lung congestion resolution (ADHF). Ktrans and ve were fitted separately using ANOVA. Secondary endpoint: repeatability, that is, within‐participant variability in ve and Ktrans between sessions (coefficient of variation estimated via mixed effects model).ResultsThere was no significant difference in mean Ktrans between HF and HV (P ≤ 0.17): 0.2216 minutes−1 and 0.2353 minutes−1 (Session 1), 0.2044 minutes−1 and 0.2567 minutes−1 (Session 2), 0.1841 minutes−1 and 0.2108 minutes−1 (Session 3), respectively. ve was greater in the HF group (all scans, P ≤ 0.02). Results were repeatable between Sessions 1 and 2; mean values for HF and HV were 0.4946 and 0.3346 (Session 1), 0.4353 and 0.3205 (Session 2), respectively. There was minimal difference in Ktrans or ve between scans for participants with ADHF (small population precluded significance testing). Scanning was well tolerated.Data ConclusionWhile no differences were detected in Ktrans, ve was greater in chronic HF patients vs. HV, augmented beyond plasma and intracellular volume. DCE‐MRI is a valuable diagnostic and physiologic tool to evaluate changes in fluid volume in the interstitial lung space associated with symptomatic HF.Level of Evidence2Technical Efficacy Stage2
Successfully sharing knowledge: Empirical evidence on the influence of managerial factors
Authors: Jackson Tim M. , Shen Jun , Nikolic Sasha 
Published: March 2022

AbstractKnowledge is an intangible and vital resource that is an important source of competitive advantage; however, the technologies that help create, store, and transfer knowledge are hindered by unrealistic expectations and ambiguity, and the measurement of knowledge‐sharing activities is both difficult and complex. Compounding this is the deficit of empirical studies on the factors that influence the knowledge‐sharing process. We endeavored to provide empirical evidence on these interactions using a survey developed from a prior extensive systematic literature review. The previously identified factors that were in the current study tested comprised (1) organizational culture, (2) formal processes, (3) top‐down support, (4) motivation, (5) clear strategy, and (6) quality of technology. In order, the most influential factors were organizational culture, top‐down support, motivation, and quality of technology. This study is a promising start to the exploration of the factors used in knowledge sharing and should be expanded to include new industries and contexts.
Cervical optical coherence tomography image classification based on contrastive self‐supervised texture learning
Authors: Chen Kaiyi , Wang Qingbin , Ma Yutao 
Published: March 2022

AbstractBackgroundCervical cancer (CC) seriously affects the health of the female reproductive system. Optical coherence tomography (OCT) emerged as a noninvasive, high‐resolution imaging technology for cervical disease detection. However, OCT image annotation is knowledge‐intensive and time‐consuming, which impedes the training process of deep‐learning‐based classification models.PurposeThis study aims to develop a computer‐aided diagnosis (CADx) approach to classifying in‐vivo cervical OCT images based on self‐supervised learning.MethodsIn addition to high‐level semantic features extracted by a convolutional neural network (CNN), the proposed CADx approach designs a contrastive texture learning strategy to leverage unlabeled cervical OCT images’ texture features. We conducted 10‐fold cross‐validation on the OCT image dataset from a multicenter clinical study on 733 patients from China.ResultsIn a binary classification task for detecting high‐risk diseases, including high‐grade squamous intraepithelial lesion and CC, our method achieved an area‐under‐the‐curve value of 0.9798 ± 0.0157 with a sensitivity of 91.17% ± 4.99% and a specificity of 93.96% ± 4.72% for OCT image patches; also, it outperformed two out of four medical experts on the test set. Furthermore, our method achieved 91.53% sensitivity and 97.37% specificity on an external validation dataset containing 287 three‐dimensional OCT volumes from 118 Chinese patients in a new hospital using a cross‐shaped threshold voting strategy.ConclusionsThe proposed contrastive‐learning‐based CADx method outperformed the end‐to‐end CNN models and provided better interpretability based on texture features, which holds great potential to be used in the clinical protocol of “see‐and‐treat.”
Personalized local SAR prediction for parallel transmit neuroimaging at 7T from a single T1‐weighted dataset
Authors: Brink Wyger M. , Yousefi Sahar , Bhatnagar Prernna , Remis Rob F. , Staring Marius , Webb Andrew G. 
Published: March 2022

PurposeParallel RF transmission (PTx) is one of the key technologies enabling high quality imaging at ultra‐high fields (≥7T). Compliance with regulatory limits on the local specific absorption rate (SAR) typically involves over‐conservative safety margins to account for intersubject variability, which negatively affect the utilization of ultra‐high field MR. In this work, we present a method to generate a subject‐specific body model from a single T1‐weighted dataset for personalized local SAR prediction in PTx neuroimaging at 7T.MethodsMulti‐contrast data were acquired at 7T (N = 10) to establish ground truth segmentations in eight tissue types. A 2.5D convolutional neural network was trained using the T1‐weighted data as input in a leave‐one‐out cross‐validation study. The segmentation accuracy was evaluated through local SAR simulations in a quadrature birdcage as well as a PTx coil model.ResultsThe network‐generated segmentations reached Dice coefficients of 86.7% ± 6.7% (mean ± SD) and showed to successfully address the severe intensity bias and contrast variations typical to 7T. Errors in peak local SAR obtained were below 3.0% in the quadrature birdcage. Results obtained in the PTx configuration indicated that a safety margin of 6.3% ensures conservative local SAR estimates in 95% of the random RF shims, compared to an average overestimation of 34% in the generic “one‐size‐fits‐all” approach.ConclusionA subject‐specific body model can be automatically generated from a single T1‐weighted dataset by means of deep learning, providing the necessary inputs for accurate and personalized local SAR predictions in PTx neuroimaging at 7T.
SLOW: A novel spectral editing method for whole‐brain MRSI at ultra high magnetic field
Authors: Weng Guodong , Radojewski Piotr , Sheriff Sulaiman , Kiefer Claus , Schucht Philippe , Wiest Roland , Maudsley Andrew A. , Slotboom Johannes 
Published: March 2022

PurposeAt ultra‐high field (UHF), B1+‐inhomogeneities and high specific absorption rate (SAR) of adiabatic slice‐selective RF‐pulses make spatial resolved spectral‐editing extremely challenging with the conventional MEGA‐approach. The purpose of the study was to develop a whole‐brain resolved spectral‐editing MRSI at UHF (UHF, B0 ≥ 7T) within clinical acceptable measurement‐time and minimal chemical‐shift‐displacement‐artifacts (CSDA) allowing for simultaneous GABA/Glx‐, 2HG‐, and PE‐editing on a clinical approved 7T‐scanner.MethodsSlice‐selective adiabatic refocusing RF‐pulses (2π‐SSAP) dominate the SAR to the patient in (semi)LASER based MEGA‐editing sequences, causing large CSDA and long measurement times to fulfill SAR requirements, even using SAR‐minimized GOIA‐pulses. Therefore, a novel type of spectral‐editing, called SLOW‐editing, using two different pairs of phase‐compensated chemical‐shift selective adiabatic refocusing‐pulses (2π‐CSAP) with different refocusing bandwidths were investigated to overcome these problems.ResultsCompared to conventional echo‐planar spectroscopic imaging (EPSI) and MEGA‐editing, SLOW‐editing shows robust refocusing and editing performance despite to B1+‐inhomogeneity, and robustness to B0‐inhomogeneities (0.2 ppm ≥ ΔB0 ≥ −0.2 ppm). The narrow bandwidth (∼0.6–0.8 kHz) CSAP reduces the SAR by 92%, RF peak power by 84%, in‐excitation slab CSDA by 77%, and has no in‐plane CSDA. Furthermore, the CSAP implicitly dephases water, lipid and all the other signals outside of range (≥ 4.6 ppm and ≤1.4 ppm), resulting in additional water and lipid suppression (factors ≥ 1000s) at zero SAR‐cost, and no spectral aliasing artifacts.ConclusionA new spectral‐editing has been developed that is especially suitable for UHF, and was successfully applied for 2HG, GABA+, PE, and Glx‐editing within 10 min clinical acceptable measurement time.
BUDA‐MESMERISE: Rapid acquisition and unsupervised parameter estimation for T1, T2, M0, B0, and B1 maps
Authors: So Seohee , Park Hyun Wook , Kim Byungjai , Fritz Francisco J. , Poser Benedikt A. , Roebroeck Alard , Bilgic Berkin 
Published: March 2022

PurposeRapid acquisition scheme and parameter estimation method are proposed to acquire distortion‐free spin‐ and stimulated‐echo signals and combine the signals with a physics‐driven unsupervised network to estimate T1, T2, and proton density (M0) parameter maps, along with B0 and B1 information from the acquired signals.Theory and MethodsAn imaging sequence with three 90° RF pulses is utilized to acquire spin‐ and stimulated‐echo signals. We utilize blip‐up/‐down acquisition to eliminate geometric distortion incurred by the effects of B0 inhomogeneity on rapid EPI acquisitions. For multislice imaging, echo‐shifting is applied to utilize dead time between the second and third RF pulses to encode information from additional slice positions. To estimate parameter maps from the spin‐ and stimulated‐echo signals with high fidelity, 2 estimation methods, analytic fitting and a novel unsupervised deep neural network method, are developed.ResultsThe proposed acquisition provided distortion‐free T1, T2, relative proton density (M0), B0, and B1 maps with high fidelity both in phantom and in vivo brain experiments. From the rapidly acquired spin‐ and stimulated‐echo signals, analytic fitting and the network‐based method were able to estimate T1, T2, M0, B0, and B1 maps with high accuracy. Network estimates demonstrated noise robustness owing to the fact that the convolutional layers take information into account from spatially adjacent voxels.ConclusionThe proposed acquisition/reconstruction technique enabled whole‐brain acquisition of coregistered, distortion‐free, T1, T2, M0, B0, and B1 maps at 1 × 1 × 5 mm3 resolution in 50 s. The proposed unsupervised neural network provided noise‐robust parameter estimates from this rapid acquisition.