bluuebunny/crossref_metadata_2025_split huggingface dataset:
Non‐weight bearing ultrasonographic examination allows the diagnosis of longitudinal fiber disruption (split) in equine suspensory ligament branches not visible on weight bearing examination
Authors: Werpy Natasha , Chapman Kristina , Griffith Leah 
Published: October 2020

AbstractWhen evaluating suspensory ligament branch splits, there is a discrepancy between high field MRI findings and weight bearing ultrasonographic imaging characteristics. In this descriptive and retrospective case series, ultrasonographic examination was performed on suspensory ligament branches with the limbs in weight bearing and non‐weight bearing positions. Suspensory ligament branch splits were defined as linear regions of decreased echogenicity when imaged with the limb in a weight bearing position that increased in size and became anechoic with the limb in a non‐weight bearing position. This appearance was considered an indication of pathologic change in the branch. A total of 62 suspensory ligament branches were included in the study from 37 horses, with 14 partial splits, 11 intrasubstance splits, and 14 complete splits of which two had extension of fetlock synovial fluid and synovial membrane through the split. Recheck ultrasonographic examinations performed in eight horses up to 14 months following the initial examination demonstrated persistence of the split in two horses, partial resolution in five horses, and complete resolution in one horse. Ultrasonographic examination using the non‐weight bearing approach proved valuable for increasing the lesion conspicuity as compared to the weight bearing images. Certain abnormalities, such as longitudinal fiber disruption (split) in suspensory ligament branches may only be evident when imaged non‐weight bearing. The use of this technique provides a more accurate representation of lesion severity and allows for monitoring over time. A longitudinal study is necessary to determine the clinical relevance of suspensory ligament branch splits.
mHealth as a primary mode of intervention for women at risk of, or diagnosed with, gestational diabetes: a scoping review protocol
Authors: Edwards Katie J. , Maslin Kate , Andrade Jackie , Jones Ray B. , Shawe Jill 
Published: October 2020

ABSTRACT

Objective:
To synthesize current knowledge on the use of mHealth as a primary mode of intervention for the prevention and management of gestational diabetes mellitus and its long-term implications among women at risk of, or diagnosed with, gestational diabetes mellitus.

Introduction:
Prevention and management of gestational diabetes mellitus and its associated adverse outcomes are of paramount importance to both maternal and infant health. However, women with experience of gestational diabetes mellitus report several barriers to effective disease management and lifestyle change. Supporting women through use of mHealth technology may help overcome these barriers. Recent evidence suggests mobile apps may be useful for the prevention and management of gestational diabetes mellitus, however, less is known about the broader application of mHealth from preconception to interconception.

Inclusion criteria:
Studies considered for inclusion are those focused on the use of mHealth as the primary mode of intervention for the prevention and management of gestational diabetes mellitus and its long-term implications among women at risk of, or diagnosed with, gestational diabetes mellitus. Studies will be limited to those published in English, with no date restrictions.

Methods:
The following databases will be searched: MEDLINE (Ovid), CINAHL (EBSCO), EMBASE (Ovid), Cochrane Database (Wiley), Scopus, and TRIP. Unpublished studies and gray literature will be searched using Open Grey, ISRCTN Registry, ClinicalTrials.gov, EU Clinical Trials register, and ANZCTR. Two reviewers will independently screen abstracts. Reviewers will assess full texts of selected citations against the inclusion criteria. Any disagreements will be discussed with a third reviewer. Data will be extracted and presented in diagrammatic or tabular form with an accompanying narrative in line with review objectives.
Comparing Measured Responses of an Offshore Structure With Operational Modal Analysis-Assisted Classical Model Approach
Authors: Nabuco Bruna , Amador Sandro D. , Katsanos Evangelos I. , Tygesen Ulf T. , Christensen Erik D. , Brincker Rune 
Published: October 2020

Abstract
Aiming to ensure the structural integrity of an offshore structure, wave-induced responses have been measured during normal operating conditions. Operational modal analysis is applied to the data obtained from continuously monitoring the structure. Sensors placed only on the topside of an offshore platform are sufficient to provide information to identify the modal properties of the structure, such as natural frequencies, damping ratios, and mode shapes. A finite element model is created and updated in line with the identified dynamic properties for applying a modal expansion technique in the interest of accessing information at any point of the structure. Wave radars are also placed at the platform from which the wave forces are calculated based on basic industrial standard models. In this way, the wave kinematics are estimated according to the linear wave theory associated with Wheeler stretching. Since this study is related to offshore structures composed by slender elements, the wave forces are estimated using Morison formulation. By assigning typical values to the drag and inertia coefficients, wave loads are estimated and applied to the updated finite element model. For the diffraction effect, the wave load has also been evaluated according to MacCamy and Fuchs theory. The responses obtained from this procedure are compared with measured responses. In addition to describing the process, this article presents a case study to verify the theory using monitoring data from a tripod jacket. Results indicate realistic response estimation that contributes to the knowledge about the state of the structure.
Design and Modeling of the ANFIS-Based MPPT Controller for a Solar Photovoltaic System
Authors: Moyo Ranganai T. , Tabakov Pavel Y. , Moyo Sibusiso 
Published: October 2020

Abstract
Maximum power point tracking (MPPT) controllers play an important role in improving the efficiency of solar photovoltaic (SPV) modules. These controllers achieve maximum power transfer from PV modules through impedance matching between the PV modules and the load connected. Several MPPT techniques have been proposed for searching the optimal matching between the PV module and load resistance. These techniques vary in complexity, tracking speed, cost, accuracy, sensor, and hardware requirements. This paper presents the design and modeling of the adaptive neuro-fuzzy inference system (ANFIS)-based MPPT controller. The design consists of a PV module, ANFIS reference model, DC–DC boost converter, and the fuzzy logic (FL) power controller for generating the control signal for the converter. The performance of the proposed ANFIS-based MPPT controller is evaluated through simulations in the matlab/simulink environment. The simulation results demonstrated the effectiveness of the proposed technique since the controller can extract the maximum available power for both steady-state and varying weather conditions. Moreover, a comparative study between the proposed ANFIS-based MPPT controller and the commonly used, perturbation and observation (P&O) MPPT technique is presented. The simulation results reveal that the proposed ANFIS-based MPPT controller is more efficient than the P&O method since it shows a better dynamic response with few oscillations about the maximum power point (MPP). In addition, the proposed FL power controller for generating the duty cycle of the DC–DC boost converter also gave satisfying results for MPPT.
Effect of Age and Acute Exercise on Circulating Angioregulatory Factors
Authors: Luttrell Meredith J. , Mardis Benjamin R. , Bock Joshua M. , Iwamoto Erika , Hanada Satoshi , Ueda Kenichi , Feider Andrew J. , Temperly Kenzie , Casey Darren 
Published: October 2020

The balance of angiogenic factors, including vascular endothelial growth factor (VEGF), and angiostatic factors, like thrombospondin-1 (TSP-1) and endostatin, controls striated muscle angiogenic responses to exercise training. The effect of age on circulating levels of these factors following a bout of exercise is unclear. The authors hypothesized that older adults would have lower circulating VEGF but higher TSP-1 and endostatin after exercise compared with young adults. Ten young and nine older participants cycled for 45 min at 60% estimated HRmax. Serum [VEGF], [TSP-1], and [endostatin] obtained before (PREX), immediately after (POSTX0), and 3 hr after (POSTX3) exercise were analyzed. [VEGF] increased in older adults only from PREX to POSTX0 (p < .05). [TSP-1] increased in both age groups (p < .05). There was no effect of age or exercise on [endostatin]. In conclusion, immediately after exercise, both groups had a similar increase in [TSP-1], but [VEGF] increased in older adults only.
Prediction modelling of inpatient neonatal mortality in high-mortality settings
Authors: Aluvaala Jalemba , Collins Gary , Maina Beth , Mutinda Catherine , Waiyego Mary , Berkley James Alexander , English Mike 
Published: October 2020

ObjectivePrognostic models aid clinical decision making and evaluation of hospital performance. Existing neonatal prognostic models typically use physiological measures that are often not available, such as pulse oximetry values, in routine practice in low-resource settings. We aimed to develop and validate two novel models to predict all cause in-hospital mortality following neonatal unit admission in a low-resource, high-mortality setting.Study design and settingWe used basic, routine clinical data recorded by duty clinicians at the time of admission to derive (n=5427) and validate (n=1627) two novel models to predict in-hospital mortality. The Neonatal Essential Treatment Score (NETS) included treatments prescribed at the time of admission while the Score for Essential Neonatal Symptoms and Signs (SENSS) used basic clinical signs. Logistic regression was used, and performance was evaluated using discrimination and calibration.ResultsAt derivation, c-statistic (discrimination) for NETS was 0.92 (95% CI 0.90 to 0.93) and that for SENSS was 0.91 (95% CI 0.89 to 0.93). At external (temporal) validation, NETS had a c-statistic of 0.89 (95% CI 0.86 to 0.92) and SENSS 0.89 (95% CI 0.84 to 0.93). The calibration intercept for NETS was −0.72 (95% CI −0.96 to −0.49) and that for SENSS was −0.33 (95% CI −0.56 to −0.11).ConclusionUsing routine neonatal data in a low-resource setting, we found that it is possible to predict in-hospital mortality using either treatments or signs and symptoms. Further validation of these models may support their use in treatment decisions and for case-mix adjustment to help understand performance variation across hospitals.
How many human pathogens are there in Laos? An estimate of national human pathogen diversity and analysis of historical trends
Authors: Clarkson Madeleine Claire , Aguas Ricardo , Sweet Kathryn , Roberts Tamalee , Strobel Michel , Newton Paul N 
Published: October 2020

ObjectiveThe emergence of infectious diseases pose major global health threats. Estimates of total in-country human pathogen diversity, and insights as to how and when species were described through history, could be used to estimate the probability of new pathogen discoveries. Data from the Lao People’s Democratic Republic (Laos) were used in this proof-of-concept study to estimate national human pathogen diversity and to examine historical discovery rate drivers.MethodsA systematic survey of the French and English scientific and grey literature of pathogen description in Laos between 1874 and 2017 was conducted. The first descriptions of each known human pathogen in Laos were coded according to the diagnostic evidence available. Cumulative frequency of discovery across time informed the rate of discovery. Four distinct periods of health systems development in Laos were identified prospectively and juxtaposed to the unmodelled rate of discovery. A model with a time-varying rate of discovery was fitted to these data using a Markov-Chain- Monte-Carlo technique.ResultsFrom 6456 pathogen descriptions, 245 discoveries of known human pathogens in Laos, including repeat discoveries using different grades of evidence, were identified. The models estimate that the Laos human pathogen species diversity in 2017 is between 169 and 206. During the last decade, there has been a 33-fold increase in the discovery rate coinciding with the strengthening of medical research and microbiology.ConclusionDiscovery curves can be used to model and estimate country-level human pathogen diversity present in a territory. Combining this with historical assessment improves the understanding of the factors affecting local pathogen discovery.PROSPERO registration numberA protocol of this work was registered on PROSPERO (ID:CRD42016046728).
BLeak
Authors: Vilk John , Berger Emery D. 
Published: October 2020

Memory leaks in web applications are pervasive and difficult to debug. Leaks degrade responsiveness by increasing garbage collection costs and can even lead to browser tab crashes. Previous leak detection approaches designed for conventional applications are ineffective in the browser environment. Tracking down leaks currently requires intensive manual effort by web developers, which is often unsuccessful.
This paper introduces BLEAK (Browser Leak debugger), the first system for automatically debugging memory leaks in web applications. BLEAK'S algorithms leverage the observation that in modern web applications, users often repeatedly return to the same (approximate) visual state (e.g., the inbox view in Gmail). Sustained growth between round trips is a strong indicator of a memory leak. To use BLEAK, a developer writes a short script (17-73 LOC on our benchmarks) to drive a web application in round trips to the same visual state. BLEAK then automatically generates a list of leaks found along with their root causes, ranked by return on investment. Guided by BLEAK, we identify and fix over 50 memory leaks in popular libraries and apps including Airbnb, AngularJS, Google Analytics, Google Maps SDK, and jQuery. BLEAK'S median precision is 100%; fixing the leaks it identifies reduces heap growth by an average of 94%, saving from 0.5MB to 8MB per round trip.
Comparison of Survival Rates of Stainless-Steel Crowns Placed with and without Pulpotomy: A Two-Year Retrospective Study
Authors: AlMotawah Fatmah N. , Chandra Pani Sharat , AlKharashi Tala , AlKhalaf Saleh , AlKhathlan Mohammed , AlSultan Fahad , AlMughirah Ahmad 
Published: October 2020

Aim. This study aimed to retrospectively compare the survival outcomes over two years between teeth with proximal dental caries that were restored with stainless-steel crowns to those that were pulpotomized and then restored with a stainless-steel crown in patients who were rehabilitated under general anesthesia. Participants and Methods. The records of 131 patients aged between two to six years who had stainless-steel crowns placed under general anesthesia and had two-year follow-up were screened. 340 teeth with moderate proximal caries on the radiograph (D2) were included in the study. Of these, 164 teeth were treated with a pulpotomy and stainless-steel crown, while 176 teeth were crowned without a pulpotomy. The type of each tooth was compared using the Chi-squared test and Kaplan–Meier survival analysis, and curves were plotted based on the two-year outcomes. Results. Treatment: the sample comprised 59 males (mean age 4.73 years, SD ± 1.4 years) and 72 females (mean age 5.2 years, SD ± 2.0 years). The Kaplan–Meier regression model showed no significant difference in survival outcomes between teeth that had been pulpotomized and those that had not (

p

= 0.283). Conclusion. Within the limitations of the current study, we can conclude that performing a pulpotomy does not influence the survival outcome of mild/moderate proximal caries restored with stainless-steel crowns under general anesthesia.
Barrett's Esophagus and Esophageal Adenocarcinoma Biomarkers
Authors: Grady William M. , Yu Ming , Markowitz Sanford D. , Chak Amitabh 
Published: October 2020

Abstract
Esophageal adenocarcinoma is a major cause of cancer-related morbidity and mortality in Western countries. The incidences of esophageal adenocarcinoma and its precursor Barrett's esophagus have increased substantially in the last four decades. Current care guidelines recommend that endoscopy be used for the early detection and monitoring of patients with Barrett's esophagus; however, the efficacy of this approach is unclear. To prevent the increasing morbidity and mortality from esophageal adenocarcinoma, there is a tremendous need for early detection and surveillance biomarker assays that are accurate, low-cost, and clinically feasible to implement. The last decade has seen remarkable advances in the development of minimally invasive molecular biomarkers, an effort led in large part by the Early Detection Research Network (EDRN). Advances in multi-omics analysis, the development of swallowable cytology collection devices, and emerging technology have led to promising assays that are likely to be implemented into clinical care in the next decade. In this review, an updated overview of the molecular pathology of Barrett's esophagus and esophageal adenocarcinoma and emerging molecular biomarker assays, as well as the role of EDRN in biomarker discovery and validation, will be discussed.
See all articles in this CEBP Focus section, “NCI Early Detection Research Network: Making Cancer Detection Possible.”
Impact of Cigarette Filter Ventilation on U.S. Smokers' Perceptions and Biomarkers of Exposure and Potential Harm
Authors: Carroll Dana M. , Stepanov Irina , O'Connor Richard , Luo Xianghua , Cummings K. Michael , Rees Vaughan W. , Bickel Warren K. , Berman Micah L. , Ashley David L. , Bansal-Travers Maansi , Shields Peter G. , Hatsukami Dorothy K. 
Published: October 2020

Abstract

Background:
Relationships between cigarette filter ventilation levels, biomarkers of exposure (BOE) and potential harm (BOPH), and harm perceptions were examined.

Methods:
Filter ventilation levels in cigarette brands were merged with Wave 1 (2013–2014) Population Assessment of Tobacco Use and Health study. Data were restricted to smokers who reported a usual brand and not regular users of other tobacco products. BOEs included nicotine, tobacco-specific nitrosamines, volatile organic compounds (VOC), and polycyclic aromatic hydrocarbons. BOPHs measured inflammation and oxidative stress. Perceived harm was assessed as self-reported risk of one's usual brand compared with other brands.

Results:
Filter ventilation ranged from 0.2% to 61.1% (n = 1,503). Adjusted relationships between filter ventilation and BOE or BOPH were nonsignificant except for VOC N-acetyl-S-(phenyl)-L-cysteine (PHMA) and high-sensitivity C-reactive protein (hsCRP). In pairwise comparisons, PHMA was higher in quartile (Q) 4 (4.23 vs. 3.36 pmol/mg; P = 0.0103) and Q3 (4.48 vs. 3.36 pmol/mg; P = 0.0038) versus Q1 of filter ventilation and hsCRP comparisons were nonsignificant. Adjusted odds of perceiving one's own brand as less harmful was 26.87 (95% confidence interval: 4.31–167.66), 12.55 (3.01–52.32), and 19.18 (3.87–95.02) times higher in the Q2, Q3, and Q4 of filter ventilation compared with Q1 (P = 0.0037).

Conclusions:
Filter ventilation was not associated with BOE or BOPH, yet smokers of higher ventilated cigarettes perceived their brand as less harmful than other brands compared with smokers of lower ventilated cigarettes.

Impact:
Research to understand the impact of this misperception is needed, and remedial strategies, potentially including a ban on filter ventilation, are recommended.
Biomarkers for Lung Cancer Screening and Detection
Authors: Ostrin Edwin J. , Sidransky David , Spira Avrum , Hanash Samir M. 
Published: October 2020

Abstract
Lung cancer is the leading worldwide cause of cancer mortality, as it is often detected at an advanced stage. Since 2011, low-dose CT scan–based screening has promised a 20% reduction in lung cancer mortality. However, effectiveness of screening has been limited by eligibility only for a high-risk population of heavy smokers and a large number of false positives generated by CT. Biomarkers have tremendous potential to improve early detection of lung cancer by refining lung cancer risk, stratifying positive CT scans, and categorizing intermediate-risk pulmonary nodules. Three biomarker tests (Early CDT-Lung, Nodify XL2, Percepta) have undergone extensive validation and are available to the clinician. The authors discuss these tests, with their clinical applicability and limitations, current ongoing evaluation, and future directions for biomarkers in lung cancer screening and detection.
See all articles in this CEBP Focus section, “NCI Early Detection Research Network: Making Cancer Detection Possible.”
Detection of Chemotherapy-resistant Pancreatic Cancer Using a Glycan Biomarker, sTRA
Authors: Gao ChongFeng , Wisniewski Luke , Liu Ying , Staal Ben , Beddows Ian , Plenker Dennis , Aldakkak Mohammed , Hall Johnathan , Barnett Daniel , Gouda Mirna Kheir , Allen Peter , Drake Richard , Zureikat Amer , Huang Ying , Evans Douglas , Singhi Aatur , Brand Randall E. , Tuveson David A. , Tsai Susan , Haab Brian B. 
Published: October 2020

AbstractPurpose:A subset of pancreatic ductal adenocarcinomas (PDACs) is highly resistant to systemic chemotherapy, but no markers are available in clinical settings to identify this subset. We hypothesized that a glycan biomarker for PDACs called sialylated tumor-related antigen (sTRA) could be used for this purpose.Experimental Design:We tested for differences between PDACs classified by glycan expression in multiple systems: sets of cell lines, organoids, and isogenic cell lines; primary tumors; and blood plasma from human subjects.Results:The sTRA-expressing models tended to have stem-like gene expression and the capacity for mesenchymal differentiation, in contrast to the nonexpressing models. The sTRA cell lines also had significantly increased resistance to seven different chemotherapeutics commonly used against pancreatic cancer. Patients with primary tumors that were positive for a gene expression classifier for sTRA received no statistically significant benefit from adjuvant chemotherapy, in contrast to those negative for the signature. In another cohort, based on direct measurements of sTRA in tissue microarrays, the patients who were high in sTRA again had no statistically significant benefit from adjuvant chemotherapy. Furthermore, a blood plasma test for the sTRA glycan identified the PDACs that showed rapid relapse following neoadjuvant chemotherapy.Conclusions:This research demonstrates that a glycan biomarker could have value to detect chemotherapy-resistant PDAC in clinical settings. This capability could aid in the development of stratified treatment plans and facilitate biomarker-guided trials targeting resistant PDAC.