bluuebunny/crossref_metadata_2025_split huggingface dataset:
The impact of the dental chair stabilization method on chest compressions
Authors: Hitosugi Takashi , Hirokawa Jun , Hano Kazuhiro , Goto Maho , Tsukamoto Masanori , Yokoyama Takeshi 
Published: November 2022

Abstract
Background
To evaluate, how the influence of different with and without a support stool, impacts chest compressions on the dental chair.
Methods
Experiments were conducted on CPR training manikin on a dental chair. A stool was placed under the backrest of a dental chair to stabilize it. Chest compressions were performed for 5 minutes with or without a stool. Six values in chest compressions and the degree of fatigue were measured.
Results
According to the analysis of the quality of chest compressions without a stool or with a stool under the dental chair. The mean chest compression depth of With (57.29 ± 6.24mm) was significantly deeper than that of Without (53.86 ± 8.48 mm; p < 0.001). The mean chest compression rate and total chest compressions of With were significantly higher than that of Without. QCPR score of With (94.28 ± 10.57) was significantly higher than that of Without (72.0 ± 46.66; p < 0.001). The rating of perceived exertion of With (6.75 ± 1.20) was significantly lower than that of Without (8.75 ± 0.66; p < 0.001). Only the chest compression fraction and the chest compression rebound rate does not reach a significant difference.
Conclusions
The use of a support stool improved the quality of chest compressions on the dental chair and reduced rescuer fatigue. To perform effective CPR on a dental chair, it is important to stabilize the chair against chest compressions.
Clinical relevance:
Effective chest compressions could be performed in dental chairs by using a stool when cardiac arrest occurs during dental treatments.
Effectiveness of vagus nerve stimulation for pediatric drug-resistant epilepsy secondary to nonaccidental trauma
Authors: Muthiah Nallammai , Joseph Brigit , Varga Gregory , Vodovotz Lena , Sharma Nikhil , Abel Taylor J. 
Published: November 2022

Abstract
Purpose: Epilepsy following non-accidental trauma (NAT) occurs in 18% of pediatric patients occurs. About 33% of patients with epilepsy develop drug-resistant epilepsy. For these patients, vagus nerve stimulation (VNS) is a palliative treatment option. We aimed to investigate the effectiveness of VNS among pediatric NAT-related epilepsy patients compared to those with non-NAT-related epilepsy.
Methods: We performed an 11-year retrospective analysis of VNS implantations for drug-resistant epilepsy at UPMC Children’s Hospital of Pittsburgh. Patients were split into two groups: NAT vs. non-NAT. The primary outcome was attainment of >50% seizure frequency reduction at one year post-VNS implantation. Fisher’s exact tests and Wilcoxon rank-sum tests were used to compare groups. Significance was assessed at the alpha=0.05 level.
Results: This analysis included data from 370 pediatric VNS patients, of whom 9 had NAT-related epilepsy. NAT patients had a significantly younger age of epilepsy onset than non-NAT patients (0.3 years vs. 3.3 years). Otherwise, there were no statistically significant baseline differences between groups, including patient sex and quantity of antiseizure medications pre-VNS. Overall, 71% of NAT patients experienced >50% seizure frequency reduction compared to 48% of non-NAT patients (p = 0.269).
Conclusion: VNS may allow a higher proportion of pediatric patients with NAT-related epilepsy to achieve >50% seizure frequency reduction compared to other epilepsy etiologies. While the results of this study were not statistically significant, the effect size was large. Our results underscore the need for larger, multi-center studies to validate the effectiveness of VNS for this patient population.
A practical approach to sample destination alternatives using machine leaning technique for applying dynamic activity-based travel demand model
Authors: Urata Junji , Zeeshan Muhammad , Abbasi Babar , Hato Eiji 
Published: November 2022

Abstract
This paper focuses on sequential and forward-looking behavior in destination choices of full-day. We can model the forward-looking behavior in the activity chain using a β-scaled recursive logit model that can not calculate future utility if the number of destination candidates is too large. Our primary objective is to construct a practical approach to sample destination alternatives. We propose a machine learning-based (ML) sampling approach by applying McFadden correction for choice set limitation to a β-scaled recursive logit model. Our supervised/unsupervised ML models are constructed using the activity history and enumerate among realistic alternatives considering the time-space prism constraint. We propose two sampling protocols: the supervised approach that samples using the decision tree rule constructed by observed choices by time and space; the unsupervised approach that samples from the constructed clusters using features of destinations. Our numerical test showed the estimability under the destination choice set by prism restriction and the proposed sampling. Our empirical case study using actual behavior data observed by smartphone-based GPS validated that our approaches improve the estimation stability of the time discount parameter. Our rule-based sampling protocol increased demand predictability compared to a simple random sampling protocol. The proposed method is practical because we can train the ML models using only observation data.
Early ascending growth is associated with maternal metabolomic profile during mid and late pregnancy and in cord blood
Authors: Sequeiros Elina Blanco , Tuomaala Anna-Kaisa , Tabassum Rubina , Bergman Paula , Koivusalo Saila , Huvinen Emilia 
Published: November 2022

Abstract
Introduction:
Intrauterine conditions and accelerating early growth are associated with childhood obesity. It is unknown, whether fetal programming affects the early growth and could alterations in the maternal-fetal metabolome be the mediating mechanism. Therefore, we aimed to assess the associations between maternal and cord blood metabolome and offspring early growth.
Methods
The RADIEL study recruited 724 women at high risk for gestational diabetes mellitus (GDM) BMI ≥ 30kg/m2 and/or prior GDM) before or in early pregnancy. Blood samples were collected once in each trimester, and from cord. Metabolomics were analyzed by targeted nuclear magnetic resonance (NMR) technique. Following up on offsprings’ first 2 years growth, we discovered 3 distinct growth profiles (ascending n = 80, intermediate n = 346, and descending n = 146) by using latent class mixed models (lcmm).
Results
From the cohort of mother-child dyads with available growth profile data (n = 572), we have metabolomic data from 232 mothers from 1st trimester, 271 from 2nd trimester, 277 from 3rd trimester and 345 from cord blood. We have data on 220 metabolites in each trimester and 70 from cord blood. In each trimester of pregnancy, the mothers of the ascending group showed higher levels of VLDL and LDL particles, and lower levels of HDL particles (p < 0.05). When adjusted for gestational age, birth weight, sex, delivery mode, and maternal smoking, there was an association with ascending profile and 2nd trimester total cholesterol in HDL2, 3rd trimester total cholesterol in HDL2 and in HDL, VLDL size and ratio of triglycerides to phosphoglycerides (TG/PG ratio) in cord blood (p ≤ 0.002).
Conclusion
Ascending early growth was associated with lower maternal total cholesterol in HDL in 2nd and 3rd trimester, and higher VLDL size and more adverse TG/PG ratio in cord blood.
Atmospheric sulfate formation from SO2 oxidation by NO2 is enhanced by charges at the air-aqueous interface
Authors: Wang Gehui , Zhang Si , Wu Can , Zhu Tong , Liu Shijie , Ge Shuangshuang , Xu Xinbei , Sun Haitao , Sun Zhenrong , Wang Jiaxin , Ji Yuemeng , Gao Jian , Ren Yanqin , Li Hong , Zhang Renyi , Zhang Fang , Wang Fanglin , Lv Shaojun , Liu Xiaodi 
Published: November 2022

Abstract

Heterogeneous oxidation of SO2 by NO2 on aerosol particles has recently been thought as one of the major formation pathways of sulfate in the polluted troposphere, but the underlying chemical mechanisms and kinetics remain uncertain. Here, we show that sulfate formation via NO2 oxidation is critically dependent on the charges at the air-aqueous interface by combining lab experiments, theoretical chemistry calculations, and atmospheric measurements. Our results reveal that the oxidation rate (k_(〖NO〗_2+〖HSO〗_3^- )) (2.1x108–7.0x109 M-1s-1) of SO2 by NO2 in the aerosol aqueous phase in Chinese haze periods is 3–4 orders of magnitude larger than the traditionally held value for the bulk phase due to the accumulation of chloride and carboxylic anions at the air-aqueous interface, which significantly accelerates the SO2 oxidation by enhancing the uptake of NO2 through interfacial electrostatic attraction. Atmospheric models not accounting for this aerosol interfacial process likely produce major misrepresentations of tropospheric sulfate aerosols under polluted conditions.
Time-scale synchronisation of oscillatory responses can lead to non-monotonous R-tipping
Authors: Swierczek-Jereczek Jan , Montoya Marisa , Robinson Alexander , Alvarez-Solas Jorge , Blasco Javier 
Published: November 2022

Abstract
Rate-induced tipping (R-tipping) describes the fact that, for multistable dynamic systems, an abrupt transition can take place not only because of the forcing magnitude, but also because of the forcing rate. In the present work, we demonstrate through the case study of a piecewise-linear oscillator (PLO), that increasing the rate of forcing can make the system tip in some cases but might also prevent it from tipping in others. This counterintuitive effect is further called non-monotonous R-tipping (NMRT) and has already been observed in recent studies. We show that, in the present case, the reason for NMRT is the peak synchronisation of oscillatory responses operating on different time scales. We further illustrate that NMRT can be observed even in the presence of additive white noise of intermediate amplitude. Finally, NMRT is also observed on a van-der-Pol oscillator with an unstable limit cycle, suggesting that this effect is not limited to systems with a discontinuous right-hand side such as the PLO. This insight might be highly valuable, as the current research on tipping elements is shifting from an equilibrium to a dynamic perspective while using models of increasing complexity, in which NMRT might be observed but hard to understand.
Fast Mining High Utility Itemsets with Multiple Minimum Utility Thresholds
Authors: Guo Shiming , Wei Hongqiang 
Published: November 2022

Abstract
High utility itemset mining (HUIM) is a hot research topic andhas been extensively studied in the literature. In this paper,we study the problem of HUIM with multiple minimum utility thresholds, and develop an efficient algorithm named FHUIM. A comprehensive empirical study shows that FHUIM significantly outperforms the state-of-the-art algorithm MHUI in terms of runtime, memory consumption and number of candidates.
Tracing the geographical origin of raw wheat flour in prepared mix containing milk and/or egg by analyzing the electrophoretic band patterns and stable isotope ratios of glutenin fractions
Authors: Suzuki Yaeko , Miura Yuya , Iijima Ken , Yamakawa Hirohito , Satoh Rie 
Published: November 2022

Abstract
To trace the origin of raw wheat flour in prepared mix for bread and confectionery, the electrophoretic band patterns and stable isotope ratios of glutenin fractions extracted from prepared mix powders, including milk and/or egg were analyzed. The presence of auxiliary materials, such as sugar, salt, non-fat dry milk powder, emulsifier, thickener, and yeast, had little influence on the protein composition and the carbon and nitrogen isotope ratios of the wheat glutenin fractions extracted from the prepared mix. On the other hand, the electrophoretic band patterns and the carbon and nitrogen isotope ratios of glutenin fractions extracted from the prepared mix containing dried whole-egg powder were different from those extracted from wheat flour. However, in the presence or absence of auxiliary materials containing skimmed milk powder and/or dried whole egg powder, the electrophoretic patterns of the glutenin fraction had some characteristic bands. The results revealed the presence of characteristic protein bands depending on the wheat flour variety. Moreover, the glutenin fraction extracted from the prepared mix for confectionery was divided into high-molecular-weight (HMW-GS) and low-molecular-weight glutenin subunit (LMW-GS) fractions. The LMW-GSs was observed to reduce the effect of egg-derived proteins on electrophoretic band patterns, and stable isotope ratios. The carbon and nitrogen isotope ratios of LMW-GSs extracted from Japanese flour were significantly lower compared to wheat flour from US. Therefore, our study suggests that the electrophoresis of the glutenin fractions and the stable isotope ratios of LMW-GSs would be useful tool for discriminating varieties of wheat flour and prepared mix samples including milk and egg.
Nutrient profiling of Lablab bean [(Lablab purpureus L.) Sweet] accessions from Northeast India: Diversity exploration leading to mitigation of nutritional vulnerability
Authors: Pandey Dileep Kumar , Singh Siddhartha , Dubey Shanatnu Kumar , Mehra Tara Singh , Mounika Vadde , Dixit Sreenath , Sawargaonkar Gajanan 
Published: November 2022

Abstract

Lablab purpureus, one of the most significant yet neglected and underutilized legume vegetable crops, has tremendous genetic variability in its traits, including growth habit, stem pigmentation, and pod color. Retrospectively, L. purpureus's systematic crop improvement efforts received less attention from researchers. In the current study, 11 local accessions of L. purpureus that were collected from various locations in Arunachal Pradesh-a global biodiversity hotspot, and their morphological and biochemical characteristics were examined. The conventional procedure for analyzing nutritional and anti-nutritional components found considerable variations for each of the characters under the study. The length, width, and pod color differed significantly across the eleven genotypes examined in the study. All accessions had good nutritional content and very low anti-nutritional elements, particularly the phytic acid was extremely low (1.77–2.43 mg/100gm) in the tender pod when compared to the lablab accessions of south Indian states as well as of common leguminous vegetables. The low phytate content assumes significance for enhanced mineral bioavailability, making its immature pods the potential functional food, thus, carving the pathways for mitigating the nutritional vulnerability in developing countries. These local accessions of lablab also represent an agronomically and nutritionally important pool for L. purpureus improvement/breeding.
Parametric Study of Pulsed Nanosecond Laser Interaction with Carbon- nanotube Composite Bipolar plate for PEMFCs
Authors: Musse Dawit , Lee Dongkyoung 
Published: November 2022

Abstract
A laser processing technique is proposed for the processing of a 2.5mm thick carbon nanotube (CNT) composite bipolar plate for proton exchange membrane fuel cells (PEMFCs). This study aims to understand laser interaction with the CNT composite plate experimentally, using a pulsed nanosecond laser. Penetration depth, top width, spatter width and overall physical morphologies are studied. Scanning Electron Microscope (SEM) and 3D Scanning Confocal Microscope were used for observation and measurements. Based on that, a parametric investigation is conducted and reported systematically. Most importantly, the pulse repetition rate presents a unique nature of interaction that resulted in a critical repetition rate distinguishing three operational regimes. The physical and chemical properties of the regimes are further analyzed by Vickers microhardness testing and Energy Dispersive X-Ray (EDX) analyses performed on the surface and cross-section of each specimen. The results reveal that the pulse repetition rate introduces changes in mechanical properties and chemical compositions in the vicinity of the processed region. In conclusion, lower pulse repetition should be favored for less impact on mechanical properties, chemical composition, and morphological aspects.
Fetal biometry and amniotic fluid volume assessment end-to-end automation using Deep Learning
Authors: Slimani Saad , Slimani Saad , Hounka Salaheddine , Mahmoudi Abdelhak , Laoudiyi Dalal , Saadi Hanane , Bouzyiane Amal , Lamrissi Amine , Jalal Mohammed , Bouhya Said , Rehah Taha , Bouyakhf Youssef , Badaoui Bouabid , Mhlanga Musa , Radgui Amina , Bouyakhf El Houssine 
Published: November 2022

Abstract
Fetal biometry (FB) and amniotic fluid volume (AFV) assessments are two crucial yet repetitive tasks of fetal ultrasound screening scans that help detect potential life-threatening conditions, however, they suffer from reproducibility and reliability issues. Advances in deep learning have led to new applications in measurement automation in fetal ultrasound, showcasing human-level performances in several fetal ultrasound tasks. However, most of the studies performed are retrospective “in silico” studies and few include African patients in their dataset.
Here we develop and prospectively assess the performance of deep learning models for an end-to-end FB and AFV automation from a newly constructed database of 172 293 de-identified Moroccan fetal ultrasound images in addition to publicly available datasets. They were tested on prospectively acquired video clips from 172 patients forming a consecutive series gathered at four healthcare centers in Morocco.
Our results show the 95% limits of agreement between the models and practitioners for the studied measurements were narrower than reported intra and inter-observer variability for human expert sonographers for all the studied parameters.
This means that these models could be deployed in clinical conditions, to alleviate time-consuming, repetitive tasks, and to make fetal US more accessible in limited resources environments.
Nutritional properties, determination of phenolic compounds and antioxidant potential of Victoria amazonica (Poepp.) J.C. Sowerby petiole
Authors: de Loiola Sara Kethleen Soares , Kinupp Valdely Ferreira , Nunomura Sergio Massayoshi , Nunomura Rita de Cassia Saraiva , Muniz Magno Perêa , Junior Sergio Duvoisin , Bastos Lílian Macedo , Silva Rochelly Mesquita da , de Castro Lorena Mota , Hidalgo Patricia de Souza Pinto 
Published: November 2022

Abstract

This study reported for the first time the chemical profile of the petiole of Victoria amazonica (Poepp.) J.C. Sowerby, a non-conventional edible plant (NCEP), and demonstrated its nutritional and functional potential. Its proximate composition was determined by verifying the fiber, lipid, protein, ash, and carbohydrate contents in fresh samples. V. amazonica petiole has a high moisture content (97.62%), while has low amounts of protein, crude fiber and carbohydrates (3.10%, 1.81%, and 5.78%, respectively). At 19.5 kcal g− 1, this NCEP can be classified as a low-calorie food, especially due to low lipid content of 1.47%. Amongst the extracts and solvent-partitioned fractions, the ethyl acetate fraction showed the highest total phenolic content (25.47 GAE mg 100 g− 1) and antioxidant potential (IC50: 13.67 µg mL− 1), which were evaluated using the Folin-Ciocalteu and DPPH methods, respectively. In comparison with well-known conventional fruits and plants, based on results obtained for the methanolic extract, the petiole showed a low total phenolic content (13.61 GAE mg 100 g− 1) and also an antioxidant potential (IC50: 50.12 µg mL− 1) that was 10-fold higher than the gallic acid reference standard. Five phenolic acids were identified by dereplication using liquid chromatography coupled to mass spectrometry (LC-DAD-ESI-Q-TOF-MS). Gallic, ferulic, p-coumaric and 3,4-dihydroxybenzoic acids, as well the flavonoid quercetin-3-O-rhamnoside, were identified in methanolic extract. As a low-carb and low-fat food, this unconventional edible plant can be incorporated into diets with dietary restrictions and can be classified as a functional food since it is a source of bioactive compounds.
Cuproptosis-Related lncRNAs Signature Predicts Prognosis and Chemotherapeutic Response of Patients with Lung Adenocarcinoma
Authors: Zhu Yipan , Deng Huiting , Wang Xiuyu , Chen Yi , Zhang Qiangzhe 
Published: November 2022

Abstract
Cuproptosis is a lipoylated tricarboxylic acid (TCA) cycle proteins-mediated novel cell death. Long non-coding RNAs (lncRNAs) involved in multiple cell death and lung adenocarcinoma (LUAD) process and might be as a signature to predict prognosis and therapeutic response of patients. However, the predictive performance of cuproptosis-related lncRNAs (CuRLs) is still unclear in LUAD. Here, we constructed a 13-cuproptosis-related-lncRNA signature (CuRLsig) through LASSO penalized Cox regression analysis to separate patients into low- and high-risk groups. The low-risk group has longer overall survival (OS), progression-free survival (PFS) and disease-specific survival (DSS) compared to high-risk LUAD patients. The CuRLsig-derived risk score was independent of other clinical variables (age, gender, and stage) in predicting outcomes and further had better predictive ability to predict the prognosis of LUAD patients compared with other lncRNA model. Functionally, the high-risk group was associated with proteasome, spliceosome, respiratory chain and cyclin complex, p53 signaling pathway and DNA damage and repair pathways. Additionally, the CuRLsig-derived risk score can properly measure chemotherapeutic sensitivity to low- and high-risk LUAD patients. These results demonstrated that CuRLsig could be a powerful predictor and providing novel insights into the prognosis and treatment of LUAD patients.
WITHDRAWN: Identification of platelets related THBS1 as a critical gene in sepsis related thrombocytopenia via an integrated bioinformatic analysis
Authors: Liu Yanjun , YU Kaijiang , Cheng Li 
Published: November 2022

Abstract

Objective
To explore the role of platelet related differentially expressed genes (plt-DEGs) THBS1 in sepsis through integrated bioinformatics analyses and in vivo mouse model.
Methods
Four GEO derived datasets and platelet related genes were downloaded and intersection was performed to obtain the plt-DEGs in sepsis, followed by GO and KEGG analysis, PPI network, prognostic model establishment and immune cell infiltration analyses. Finally, an LPS-challenged mouse model was established for THBS1 quantification.
Results
A total of 85 plt-DEGs were obtained, including 56 up- and 29 down-regulated plt-DEGs. Among them, 16 genes showed a significant correlation with survival statue and 10 genes, including PLA2G4A, GNAQ, PIK3CB, LHFPL2, SCCPDH, PRKCD, VEGFA, CCNA2, PRKDC and SLC9A3R1, were found with prognostic prediction ability in sepsis. Moreover, these 10 genes were found correlated with the immune cell infiltration and 9 genes except SLC9A3R1 showed upregulated trend in sepsis. Significantly decreased level of THBS1 was found in LPS-challenged mice and THBS1 was found to be involved in platelet degranulation, response to drug and activation of MAPK activity
Conclusions
plt-DEGs was found correlated with survival statue, immune cell infiltration and could be used as prognostic marker in Sepsis. Plt-DEG THBS1 could be further studied sepsis thrombocytopenia.