bluuebunny/crossref_metadata_2025_split huggingface dataset:
Diagnostic Accuracy of Novel mRNA Blood Biomarkers of Infection to Predict Outcomes in ED Patients with Undifferentiated Abdominal Pain
Authors: Meltzer Andrew , Wargowsky Richard , Moran Seamus , Jordan Tristan , Toma Ian , Jepson Tisha , Shu Shiyu , Ma Yan , Timothy McCaffrey 
Published: October 2022

Abstract
Introduction: Abdominal pain represents greater than 20% of US Emergency Department (ED) visits due to a wide range of illnesses. There are currently no reliable blood biomarkers to predict serious outcomes in patients with abdominal pain. Our previous studies have identified three mRNA transcripts related to innate immune activation: alkaline phosphatase (ALPL), interleukin-8 receptor-ß (IL8RB), and defensin-1 (DEFA1) as promising candidates to detect an intra-abdominal infection. The objective of this study was to evaluate the accuracy of these mRNA biomarkers to predict likely infection, hospitalization and surgery in ED patients with undifferentiated abdominal pain.
Methods: We prospectively enrolled ED patients with undifferentiated abdominal pain who received an abdominal CT scan as part of their evaluation. Clinical outcomes were abstracted from the CT scan and medical records. mRNA biomarker levels were calculated independent of the clinical outcomes and their accuracy was assessed to predict infectious diagnoses, surgery and hospital admission.
Results: 89 patients were enrolled; 21 underwent surgery; 47 underwent hospital admission; and, no deaths were observed within 30 days. In identifying which cases were likely infectious, mRNA biomarkers’ AUC values were: ALPL, 0.83; DEFA1 0.51; IL8RB, 0.74; and ALPL+IL8RB, 0.79. In predicting which ED patients would receive surgery, the AUC values were: ALPL, 0.75; DEFA1, 0.58; IL8RB, 0.75; and ALPL+IL8RB, 0.76. In predicting hospital admission, the AUC values were: ALPL, 0.78; DEFA1, 0.52; IL8RB, 0.74; and, ALPL+IL8RB, 0.77. For predicting surgery, ALPL+IL8RB’s positive likelihood ratio (LR) was 3.97; negative LR (NLR) was 0.70. For predicting hospital admission, the same marker’s positive LR was 2.80 with an NLR of 0.45.
Conclusion: In a pragmatic, prospective diagnostic accuracy trial in ED patients with undifferentiated abdominal pain, mRNA biomarkers showed good accuracy to identify patients with potential infection, as well as those needing surgery or hospital admission.
Novel Estimation Technique for the Carrier-to-Noise Ratio of Wireless Medical Telemetry Using Software-Defined Radio with Machine-Learning
Authors: Ishida Kai 
Published: October 2022

Abstract
In this study, we developed a novel machine-learning model to estimate the carrier-to-noise ratio (CNR) of wireless medical telemetry (WMT) using time-domain waveform data measured by a low-cost software-defined radio. If the CNR can be estimated automatically, the management of the electromagnetic environment of WMT can be easier. Therefore, we proposed a machine-learning method for estimating CNR. According to the performance evaluation results by 5-segment cross-validation on 704 types of measured data, CNR was estimated with 99.5% R-square and 0.844 dB mean absolute error using a gradient boosting regression tree. The gradient boosting decision tree classifiers predicted whether the CNR exceeded 30 dB with 99.5% accuracy. The proposed method is effective for investigating electromagnetic environments in clinical settings.
Progressive resolution optimizer (PRO) predominates over photon optimizer (PO) in sparing of spinal cord for spine SABR VMAT plans
Authors: Son Sangjun , Park So-Yeon 
Published: October 2022

Abstract
Background: we assessed the performance of the optimization algorithms by comparing volumetric modulated arc therapy generated by a progressive resolution optimized (VMATPRO) and photon optimizer (VMATPO) in terms of plan quality, MU reduction, sparing of the spinal cord (or cauda equina), and plan complexity.
Methods: Fifty-seven patients who received spine stereotactic ablative radiotherapy (SABR) with tumors located in the cervical, thoracic, and lumbar spine were retrospectively selected. For each patient, VMATPRO and VMATPO with two full arcs were generated with using the PRO and PO algorithms. For dosimetric evaluation, the dose-volumetric (DV) parameters of the planning target volume (PTV), organs at risk (OARs), the corresponding planning organs at risk (PRV), and 1.5-cm ring structure surrounding the PTV (Ring1.5 cm) were calculate for all VMAT plans. The total number of monitor units (MUs) and the modulation complexity score for the VMAT (MCSv) were compared. To investigate the correlations of OAR sparing to plan complexity, Pearson’s and Spearman’s correlation tests were conducted between the two algorithms (PO – PRO, denoted as Δ) in the DV parameters for normal tissues, total MUs, and MCSv.
Results: For the PTVs, Target conformity and dose homogeneity in the PTVs of VMATPRO were better than those of VMATPO with statistical significance. For the spinal cords (or cauda equine) and corresponding PRVs, all of the DV parameters for VMATPRO were markedly lower than those for VMATPO, with statistical significance (all p < 0.0001). Among them, the difference in the maximum dose to the spinal cord between VMATPRO and VMATPO was remarkable (9.04 Gy vs 11.08 Gy with p < 0.0001). For Ring1.5 cm, no significant difference in V115% for VMATPRO and VMATPO was observed.
Conclusions: The use of VMATPRO resulted in coverage and uniformity of dose to the PTV, as well as OARs sparing, compared with that of VMATPO for cervical, thoracic, and lumbar spine SABR. Better dosimetric plan quality generated by the PRO algorithm was observed to result in higher total MUs and plan complexity. Therefore, careful evaluation of its deliverability should be performed with caution during the routine use of the PRO algorithm.
Can end-user rationale improve the quality of low-rating software applications: A rationale mining approach
Authors: Ullah Tahir , Khan Javed Ali , Khan Nek Dil , Anjum Nasreen 
Published: October 2022

Abstract
Rationale refers to making human judgments, sets of reasons, or intentions to explain a particular decision. Nowadays, crowd-users argue and justify their decisions on social media platforms about market-driven software applications, thus generating a software rationale. Such rationale information can be of pivotal importance for the software and requirements engineers to enhance the performance of existing software applications by revealing end-users tactic knowledge to improve software designing and development decision-making. For this purpose, we proposed an automated approach to capture and analyze end-user reviews containing rationale information, focusing on low-rating applications in the amazon store using Natural Language Processing (NLP) and supervised machine learning (ML) classification methods. In the literature, high-rating applications have been emphasized while ignoring low-rating software application that causes potential biasness. Therefore, we examined 59 comparatively low-ranked market-based software applications from the Amazon app store covering various software categories to capture and identify crowd-users justifications. Next, using a developed grounded theory and content analysis approach, we studied and recorded how crowd-users analyze and explain their rationale based on issues encountered, attacking or supporting arguments registered, and updating or uninstalling software applications. Also, to achieve the best results, an experimental study is conducted by comparing various ML algorithms, i.e., MNB, LR, RF, MLP, KNN, AdaBoost, and Voting classifier, on the end-users rationale data set by preprocessing the input data, applying feature engineering, balancing the data set, and then training and testing the ML algorithms with a standard cross-validation approach. We obtained satisfactory results with MLP, voting, and RF Classifiers, having 93%, 93%, and 90% average accuracy, respectively. Also, we plot the ROC curves for the high-performing ML Classifier to identify and capture classifiers yielding the best performance with an under-sampling or oversampling balancing approach. Additionally, we obtained the average Precision, Recall, and F-measure values of 98%, 94%, 96%, 97%, 95%, and 96% for identifying supporting & decision rationale elements in the user comments, respectively. The proposed research approach outer-perform the existing rationale approaches with better Precision, Recall, and F-measure values.
TRIM37 exacerbates hepatic ischemia/reperfusion injury by facilitating IKK pathway through TRAF6 stimulation and IKKγ translocation
Authors: Yang Hang , Huang Zuotian , Luo Yunhai , Lei Dengliang , Yan Ping , Shen Ai , Liu Wenbin , Li Dewei , Wu Zhongjun 
Published: October 2022

Abstract
Background
Hepatic ischemia/reperfusion (I/R) injury is one of the major pathological processes among various liver surgery. However, there is still a lack of strategies against hepatic I/R injury because of the unrevealed inner mechanism. The present study aimed to identify a potential strategy for hepatic I/R injury and provide the fundamental experimental basis.
Results
Here we report that tripartite motif containing 37 (TRIM37) aggravates hepatic I/R injury through reinforcement of IKK-induced inflammation following dual patterns. Mechanically, TRIM37 directly interacts with tumor necrosis factor receptor-associated factor 6 (TRAF6) thus igniting K63 ubiquitination, eventually leading to the phosphorylation of IKKβ. Meanwhile, TRIM37 enhances translocation of IKKγ, a regulatory subunit of IKK complex, from nucleus to cytoplasm thereby stabilizing cytoplasmic IKK complex and prolonging the duration of inflammation. Inhibition of IKK could rescue the function of TRIM37 both in vivo and in vitro.
Conclusion
Collectively, the present study discloses the critical role of TRIM37 facilitating hepatic I/R injury by activating IKK axis. Targeting TRIM37 might be potential for treatment against hepatic I/R injury.
Autonomic stress response of physiotherapy student in the different scenarios of an objective structured clinical examination
Authors: Martínez-Pascual Beatriz , Ramírez-Adrados Ana , Fernández-Martínez Silvia , Gonzalez-de-Ramos Cristina , Fernández-Elías Valentín E. , Clemente-Suárez Vicente J 
Published: October 2022

Abstract

The aim of the present research was to analyse modifications in the autonomic stress response of Physiotherapy students undergoing a 12-scenario Objective Structured Clinical Evaluation (OSCE). A total of 86 last year students of the Physiotherapy bachelor’s degree ( 27.29 years (SD = 6.66).; 36 females and 50 males) randomly assigned were monitored during the complete OSCE to measure heart rate variability (HRV) in temporal, frequency, and non-linear domains. The HRV analysed showed a large anticipatory stress response of students maintained during the entire evaluation. The stress response varied regarding OSCE station complexity and demands and the highest sympathetic response was not found in higher emotional scenarios. The autonomic modulation monitoring allows teachers to design OSCE scenarios more adapted to the students, limiting the effect of the stress response to allow a better performance.
SIMPEL: using stable isotopes to elucidate dynamics of context specific metabolism
Authors: Allen Doug , Kambhampati Shrikaar , Hubbard Allen , Koley Somnath , Gomez Javier , Marsolais Frederic , Evans Bradley , Young Jamey 
Published: October 2022

Abstract
High resolution mass spectrometry (HRMS) leveraged with transient isotope labeling experiments has untapped potential to provide novel insights on context-specific metabolism, yet manual analyses are error-prone and laborious. Comprehensive mining and quantifying tools are needed. We describe Stable Isotope-assisted Metabolomics for Pathway Elucidation (SIMPEL), a tool to simplify analysis and interpretation of isotope enriched HRMS datasets. The efficacy of SIMPEL is demonstrated through examples of central carbon and lipid metabolism.
On the impact of nuclear quantum effects on zeolite proton hopping kinetics through machine learning potentials and path integral molecular dynamics simulations
Authors: Bocus Massimo , Goeminne Ruben , Lamaire Aran , Cools-Ceuppens Maarten , Verstraelen Toon , Speybroeck Veronique Van 
Published: October 2022

Abstract
Proton hopping is a key reactive process within zeolite catalysis, however the accurate determination of its kinetics poses major challenges both for theoreticians and experimentalists. Nuclear quantum effects (NQEs) are known to influence the structure and dynamics of protons, but their inclusion in a rigorous way through the path integral molecular dynamics (PIMD) formalism was so far beyond reach for zeolite catalyzed processes due to the excessive computational cost of evaluating all forces and energies at the Density Functional Theory (DFT) level. Herein, we overcome this limitation, by training first a reactive machine learning potential (MLP) that can reproduce with high fidelity the DFT potential energy surface of proton hopping around the first Al coordination sphere in the H-CHA zeolite. The MLP offers an immense computational speedup, which enabled us to derive accurate reaction kinetics for the proton hopping reaction. NQEs are explicitly accounted for through PIMD simulations, and the kinetics is derived using the reactive flux formalism allowing also barrier recrossings, thus going beyond standard transition state theory. More than 0.6 μs of simulation time was necessary, which is far beyond reach of any standard DFT approach. NQEs are found to significantly impact the proton hopping kinetics up to ~473 K. These proof-of-concept results open the window to include in a more systematic way NQEs for heterogeneous catalyzed processes.
Morphological and functional changes of the geniohyoid muscle in elderly patients after hip fracture surgery: comparison of ultrasound images with a focus on swallowing function
Authors: Kiyomiya Yuto , Fujiu-kurachi Masako , Hirata Aya , Azuma Masaki , Kishida Shunji , Tsuda Gota 
Published: October 2022

Abstract
Background: The geniohyoid muscle (GH) plays an important role for the hyo-laryngeal movements during swallowing. The purpose of this study was to clarify whether the muscle mass and contraction (shortening) of the GH change in elderly patients after hip fracture surgery using ultrasound imaging.
Methods: The participants were 25 women over 65 years of age who underwent hip fracture surgery. The participants were divided into two groups based on the results of swallowing assessment by water drinking: one with normal swallowing function (NSF) and the other with suspected decline in swallowing function (DSF). The sagittal cross-sectional area (SA) of the GH and the shortening rate (SR) were compared at two time points: immediately and two weeks after surgery. Wilcoxon's signed rank test was performed for the comparison of the SA and SR between two time periods in all patients. Wilcoxon's signed rank test was also used for the intra-group comparison between the NSF and the DSF immediately and two weeks after surgery. The Mann-Whitney U test was used for the comparison between the NSF and the DSF, with respect to changes in the SA and SR at two time points.
Results: The SA of the GH decreased significantly at two weeks after surgery in both groups, regardless of swallowing function, and tended to decrease more in the NSF group. The rate of shortening did not change significantly at two weeks after surgery. However, the DSF group showed a significant decrease in intra-group comparison between two time points, and showed a significantly lower values than the NSF group in the inter-county comparison. The participants in the NSF group showed two types of changes: worsening and improvement in the shortening rate of the GH during the two-week postoperative period.
Conclusions: Atrophy of the GH were observed in both NSF and DSF groups, suggesting the importance of continuous swallowing assessment in the elderly individuals during their perioperative period, even for those whose swallowing function are within normal limits.
Severe macular complications in glaucoma: high-resolution multimodal imaging characteristics and review of the literature
Authors: Lama Hugo , Pâques Michel , Brasnu Emmanuelle , Vu Jade , Chaumette Céline , Dupas Bénédicte , Fardeau Christine , Chehaibou Ismaël , Rouland Jean-François , Besombes Guillaume , LABETOULLE Marc , Labbé Antoine , Rousseau Antoine 
Published: October 2022

Abstract
Purpose: To describe imaging characteristics of severe macular complications occurring in glaucoma and discuss available treatments.
Methods: Retrospective case series of glaucomatous patients with macular retinoschisis (MR) and/or serous retinal detachment (SRD). Patients underwent a complete ophthalmological examination and multimodal imaging including retinography, SD-OCT, fluorescein and indocyanine green angiography (FA & ICGA) and adaptive optics (AO).
Results: Ten eyes (8 patients) were included. Initial BCVA was 1.04 ± 1.12 logMAR and IOP was 24.0 ± 9.3mmHg. All eyes presented with MR while SRD was present in 5 eyes (5 patients), with a central macular thickness of 573 ± 152mm. FA and ICGA allowed to exclude leakage in all cases. A focal lamina cribrosa defect (LCD) was found in four eyes (4 patients) using OCT, with AO providing en-face visualization of the defect in one eye. Outer retinal hole was present in 3 eyes (3 patients). No visual improvement or resolution of the macular retinoschisis was observed in eyes with medical or surgical IOP control (N = 9). Vitrectomy with internal membrane limiting peeling and gas tamponade was performed in one eye with good visual results.
Conclusions: Multimodal high-resolution imaging is essential to diagnose severe macular complications associated with advanced glaucoma.
Geriatric 8 Scale to Predict Functional Decline in Older Adults With Cancer: a Systematic Review
Authors: Olaya Jessica , Ibañez Édgar , Mendoza Alejandro Rico , Ramírez Alexandra Porras , Rico María Andrea 
Published: October 2022

Abstract
Background: to determine the operative characteristics of the Geriatric Scale 8 versus the Comprehensive Geriatric Assessment to detect older adult patients with cancer at risk of functional decline.
Methods: we conducted a systematic search for studies in three major indexed databases: Medline (PubMed), Embase and Google Scholar. We selected studies from 2010-2020, considering criteria such as older adults with some type of cancer, in which the G8 scale has been applied and has been associated with functional decline.
Results: we found 690 relevant titles. After reviewing the titles, abstracts, and full articles, we selected two articles that met the inclusion criteria. From these articles, we found a sensitivity of 81%, a specificity of 38%, a positive likelihood ratio of 1.21 and a negative likelihood ratio of 0.63.
Conclusions: We conclude that the G8 scale has a good sensitivity for the detection of functional decline in older adults with cancer, however, the scale does not have good results in diagnostic performance tests. The use of this scale as a predictor of functional decline should be given with caution to the results presented. More studies are required to evaluate the performance of the G8 scale against predicting functional decline.
Improving the Effectiveness of Teacher Assessment in Higher Education: A Case Study of Professors’ Perceptions in Morocco
Authors: Rasmy Aziz , St-Amand Jérôme , Nabil Abdessamed , Courdi Clémentine 
Published: October 2022

Abstract

Teacher assessment in higher education is a widely used strategy in Western countries, but it is not common practice in Moroccan academia. In consequence, the establishment of a new assessment policy in higher education creates a new dynamic in teaching practices, teacher assessment and professional career development. This type of major change, however, is likely to generate anxiety among staff regarding the learning of new practices, and uncertainty in respect of their involvement in the process of teacher assessment. The objective of the present study was thus to explore the perceptions of professors concerning the implementation of teacher assessment in Moroccan universities (Mohamed V University and Ibn Tofeil), through a survey and interviews carried out among the professors. The majority of professors expressed a positive attitude towards the usefulness of teaching evaluation. According to them, teacher assessment helps them identify strengths and weaknesses in their teaching. In contrast, there is a recurring issue among the respondents, namely the crisis of trust towards the parties involved in the evaluation process and apprehension regarding consequences of these evaluations’ results on faculty status and rank progression. The majority were very suspicious of using student assessment for administrative purposes.
PbO Nanoparticles Increase the Expression of ICAM-1 and VCAM-1 by Increasing Reactive Oxygen Species Production in Rat Choroidal Epithelial Line Z310 Cells
Authors: Wang Weixuan , Li Shuang , Wang Xi , Wang Jianbo , Zhang Yanshu 
Published: October 2022

Abstract
PbO nanoparticles (nano-PbO) are widely used in the production of electrode materials, but exposure to them can cause brain damage. The first barrier preventing nano-PbO from entering the brain is the choroid plexus. However, the effect of nano-PbO on the choroid plexus remains unclear. Thus, the purpose of this study was to explore the effect of nano-PbO exposure on the adhesion protein of the choroid plexus and the role of reactive oxygen species (ROS) during the process. Results showed that treatment of rat choroidal epithelial Z310 cells with 10 µg/mL nano-PbO upregulated the expression of surface adhesion proteins, including intercellular adhesion molecule-1 (ICAM-1) and vascular cell adhesion molecule-1 (VCAM-1). It also increased intracellular ROS production, and significantly decreased glutathione (GSH) content, glutathione peroxidase (GSH-PX) activity and superoxide dismutase (SOD) activity. Treatment with ROS inhibitor N-acetylcysteine (NAC) significantly downregulated the expression of ICAM-1 and VCAM-1expression. In conclusion, exposure of Z310 cells to nano-PbO increases the expression of ICAM-1 and VCAM-1 through oxidative stress.