bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Single-Channel SSVEP-based Biometric Approach Using RNN-based Deep Models: A Systematic Comparison
Authors: Gorur Kutlucan , ERASLAN Beyza 
Published: March 2022

Abstract
Biometric technology is the branch of science dealing with identification and verification of individuals, focusing on physiological and behavioral traits. These traits can be reliable, permanent, unique, and capable of distinguishing one person from others. Fingerprints, the iris, and the face are conventionally used in biometric techniques involving ID cards and passwords. However, due to security threats and fraud, these static textures and approaches can be abused. Consequently, biometric studies based on electroencephalography (EEG) have received increasing attention because each individual has a dynamic and unique pattern. However, classic EEG-based biometrics have significant deficiencies, including noise-prone signals, gel-based electrodes, and the need for multi-training/multi-channel acquisition and high mental effort. In contrast, steady-state visually evoked potential (SSVEP)-based biometrics have the important advantages of low signal-to-noise ratio and untrained usage. The SSVEP signals also embrace a number of other advantages. First, the occipital lobe is the only suitable region for collecting SSVEP signals without obstruction. Second, because elicited dynamic brain responses are a natural subconscious activity, the omnipresent SSVEP signals are the most frequently emitted signals. Anyone can continuously look into flickering lights having distinct frequencies, such as cell phone flashes, without extra physical or mental effort. Few studies involving multi-channel/multi-trial SSVEP-based biometric research are available in the current literature. Moreover, there is a lack of research comparing them to the single-channel single-trial SSVEP-based biometric approach using dry electrode-implemented recurrent neural network (RNN)-based deep learning models. To the best of our knowledge, no prior work has proposed such a biometric comparison of the RNN-based deep learning models and different sized time-series data compiled over raw and discrete wavelet transform (DWT)-based SSVEP signals. By achieving up to 100% accuracy using 11 individuals, the biometric recognition results are promising. This single-channel SSVEP-based biometric approach using RNN-based deep learning models may offer low-cost, user-friendly, and reliable individual identification authentication, leading to significant application domains.
Application and Effect Evaluation of Kangaroo Mother Care in Liping Area, Guizhou Province
Authors: Wu Li , Zhao Yu , Yang Jing 
Published: March 2022

Abstract
Objective To explore the effect of kangaroo nursing on the physical and mental health of newborns in Guizhou ethnic minority areas. Methods A total of 347 cases of parturients who met the criteria were selected and divided into KMC group and control group. Among them, 186 cases were in KMC group and 161 cases were in control group. Neonatal emotions), breastfeeding and neonatal pain were evaluated. Results The average body temperature of newborns in the KMC group was higher than that of the control group (P<0.01), and the average respiratory rate was not statistically different (P>0.05), but the stability of the respiratory rate in the KMC group was higher than that of the control group (P<0.01). The neonatal pain score of the control group was higher than that of the KMC group (P<0.01). The total sleep duration of newborns in the KMC group within 24 hours was longer than that of the control group (P＜0.01), and the cumulative crying time in 24 hours was shorter than that of the control group (P＜0.01). The number of crying and vomiting in the KMC group were less than those in the control group (P<0.01, P<0.01). The first breastfeeding success rate and the exclusive breastfeeding rate before discharge from the KMC group were higher than those of the control group (P＜0.01). The total score of neonatal BAT in the KMC group was significantly higher than that of the control group (P＜0.01). The KMC group achieved the first breastfeeding success. And the time of exclusive breastfeeding before discharge was earlier than that of the control group (P<0.01). Conclusion Kangaroo nursing is helpful for many indicators of newborns, and it is worthy of further promotion in western minority areas.
A Parallel FP-Growth Mining Algorithm with Load Balancing Constraints for Traffic Crash Data
Authors: Yang Yang , Tian Na , Wang Yunpeng , Yuan Zhenzhou 
Published: March 2022

Abstract
Traffic safety is an important part of the roadway in sustainable development. Freeway traffic crashes typically cause serious casualties and property losses, being a serious threat to public safety. Figuring out the potential correlation between various risk factors and revealing their coupling mechanism are of effective ways to explore and identity freeway crash causes. However, the existing association rule mining algorithms still have some limitations in both efficiency and accuracy. Based on this consideration, using the freeway traffic crash data obtained from WDOT (Washington Department of Transportation), this research constructed a multi-dimensional multi-level system for traffic crash analysis. Considering the load balancing, the FP-Growth algorithm was optimized parallelly based on Hadoop platform, to achieve an efficient and accurate association rules mining calculation for massive amounts of traffic crash data; Then, according to the results of the coupling mechanism among the crash precursors, the causes of freeway traffic crashes were identified and revealed. The results show that the parallel FP-growth algorithm with load balancing constraints has a better operating speed than both conventional FP-growth algorithm and parallel FP-growth algorithm towards processing big data. This improved algorithm makes full use of Hadoop cluster resources and is more suitable for traffic crash large data sets mining while retaining the original advantages of conventional association rule mining algorithm. In addition, the mining association rules model with the improvement of multi-dimensional interaction proposed in this research can catch the occurrence mechanism of freeway traffic crash with serious consequences (lower support degree probably) accurately and efficiently.
De novo identification of complex multimorbid conditions by integration of gene regulation and protein interaction networks with genome-wide association studies
Authors: Zaied Roan , Fadason Tayaza , O'Sullivan Justin 
Published: March 2022

Abstract
Network analysis represents a powerful approach for untangling the relationships between complex diseases. Here, we integrated information on physical contacts between common single nucleotide polymorphisms (SNPs; MAF≥0.05) and expressed genes (TPM>0.1), with expression quantitative trait loci (eQTL) data from whole blood to construct a blood-specific spatial gene regulatory network (GRN). Using this GRN, we located the genes that are functionally affected by asthma-associated SNPs to identify the asthma-specific module. We then expanded outwards to identify curated protein-protein interactions occurring 1 to 4 edges away from the asthma module. The eQTLs spatially regulating the identified genes were used to interrogate the GWAS Catalog to identify enriched traits (hypergeometric test; FDR≤0.05) within each of the 4 levels. This led to de novo identification of traits both previously reported (e.g., sarcoidosis and lung cancer) and unreported (e.g., disc-degeneration) to be multimorbid with asthma, and pinpoints the variants and genes bridging asthma to the multimorbidities. Our discovery approach identifies significantly enriched traits in the regulatory space proximal to a disease of interest, in the tissue of interest, without a priori selection of the interacting diseases. The predictions it makes expand our understanding of possible shared therapeutic targets, especially for diseases such as asthma where no cure is currently available.
Prediction of severe pancreatitis in a population with low atmospheric oxygen pressure.
Authors: Londoño-Ruiz Germán , Ramírez-Giraldo Camilo , Vesga-Rosas Andrés , Vargas-Barato Felipe 
Published: March 2022

Abstract
Background
To establish the severity of pancreatitis, there are many scoring systems, the most used are the Marshall and APACHE II systems, each one has advantages and disadvantages; but with good relation regarding mortality and prediction of complications. In populations with low barometric pressures produced by a decrease in atmospheric pressure, there is a decrease in partial pressure of oxygen, in these cases scores which take arterial oxygen partial pressure as one of their variables, may be overestimated.
Methods
A diagnostic trial study was designed to evaluate the performance of APACHE II, Marshall and BISAP in a city 2640 meters above sea level. A ROC analysis was performed to estimate the AUC of each of the scores, to evaluate the performance in predicting unfavorable outcomes and a non-parametric comparison was made between the AUC of each of the scores with the DeLong test.
Results
From January 2018 to December 2019, data from 424 patients living in Bogota, with a diagnosis of gallstone pancreatitis was collected consecutively in a hospital in Bogota, Colombia. The ROC analysis showed AUC for predicting adverse outcomes for APACHE II in 0.738 (95% CI 0.647–0.829), Marshall in 0.650 (95% CI 0.554–0.746), and BISAP in 0.744 (95% CI 0.654–0.835). The non-parametric comparison to assess whether there were differences between the different AUC of the different scores showed that there is a statistically significant difference between Marshall and BISAP AUC to predict unfavorable outcomes (p 0.032). The mortality in the group of patients studied was 5.8%.
Conclusions
We suggest the use of BISAP to predict clinical outcomes in patients with a diagnosis of biliary pancreatitis in populations with decreased atmospheric pressure because it is an easy-to-use tool and does not require arterial oxygen partial pressure for its calculation.
Analysis of neonatal screening and recall of 338,680 neonates in Haidian District in Beijing, China: A retrospective observational study
Authors: Gao Suhong , Zhou Yu , Yuan Quanlian , Zhao Wen , Li Yaping 
Published: March 2022

Abstract
Objective
To analyze neonatal screening and recall of neonates suspected of having congenital metabolic disorders in Haidian District from 2010 to 2017 with the aim of improving the quality of neonatal screening.
Methods
We retrospectively analyzed data on neonates suspected of having congenital metabolic disorders on the basis of findings on neonatal screening in Haidian District from 2010 to 2017. Data on screening findings and recall of affected neonates were drawn from the neonatal screening bulletin in Beijing. The timing of the affected neonates recall was obtained from the Information Management System for Neonatal Disease Screening in Beijing.
Results
From 2010 to 2017, 336,202 neonates from 338,680 live births were screened for abnormalities in Haidian District, the average rate of screening being 99.27%. Of these, 3392 cases were found to have definite abnormalities, 3260(96.11%) of whom were recalled successfully for further testing to establish a diagnosis. Congenital metabolic disorders were diagnosed in 268 of the recalled neonates, 206 of them being found to have congenital hypothyroidism (CH), and 62 phenylketonuria (PKU). The prevalences of CH and PKU were 0.61‰, 0.18‰ respectively. The times toLevel-1 and Level-2 recall decreased over the study period from 28.83 days to 11.33 days and from 51.63 days to 41.92 days, respectively, these differences being statistically significant (P < 0.001).The number of neonates recalled to establish a diagnosis increased in parallel with a decreasing interval between Level-1 recall and sending names to Haidian District (OR = 0.974, 95% CI: 0.951–0.999).
Conclusions
The rates of screening of neonates and recall rates of neonatal with positive screening result in Haidian District increased progressively from 2010 to 2017. Early recall of neonates suspected of having a disorder contributes to a high recall rate, earlier diagnosis, and earlier therapy.
Crop mixtures outperform rotations and landscape mosaics in regulation of wheat pathogens: a simulation study
Authors: Précigout Pierre-Antoine , Renard Delphine , Sanner Jonathan , Claessen David , Robert Corinne 
Published: March 2022

Abstract
Context. Strategies of crop diversification such as crop rotations, within-field mixtures and landscape mosaics including susceptible and resistant crops can limit crop epidemics. Until now, the effects of these strategies have been studied separately, on single pathogen species, and with low environmental variability. Objectives. In this paper, we aim to compare the disease-limitation effect of these three crop diversification strategies on two highly damaging pathogens of wheat Puccinia recondita and Zymoseptoria tritici and under varying weather conditions.Methods. We built a dynamic mathematical model of epidemics at the field scale (based on classical Susceptible-Exposed-Infectious-Removed epidemiological models) embedded in a spatially explicit landscape grid framework. We use it to simulate an agricultural landscape in which diversification strategies translate into different proportions of wheat and resistant crops in the landscape.Results. In our simulations, for both pathogens and in all weather conditions, within-field crop mixtures had the greatest impact in limiting epidemics, crop rotations were second-best, while landscape mosaics were the least effective. We also found a threshold in the proportion of wheat in mixtures below which increase in the proportion of resistant plants does not lead to further disease limitation. However, a higher proportion of resistant crop was needed when the weather became favourable for the pathogens, suggesting that higher levels of diversification are needed to limit strong epidemics. Conclusions. Our findings imply that interactions between spatial the scale of crop diversification strategies, pathogen characteristics and weather conditions should be considered in order to maximize benefits from disease-regulation properties of diversified cropping systems under climate change.
Distillery industrial wastewater(DIW) treatment by the combination of sono(US), photo(UV) and electrocoagulation(EC) process
Authors: Asaithambi Perumal , Govindarajan Rajendran 
Published: March 2022

Abstract
The color and Chemical Oxygen Demand (COD) reduction in distillery industrial effluent (DIW) was investigated utilizing photo (UV), sono (US), electrocoagulation (EC), UV+US, UV+EC, US+EC, and US+UV+EC technologies. The empirical study demonstrated that the UV+US+EC process removed almost 100% of color and 95.63% of COD from DIW while consuming around 6.97 kWh m–3 of electrical energy at the current density of 0.175 A dm–2, COD of 3600 mg L–1, UV power of 32 W, US power of 100 W, electrode pairings of Fe/Fe, inter–electrode distance of 0.75 cm, pH of 7, and reaction time of 4 h, respectively. The values found were much greater than those produced using UV, US, EC, UV+US, UV+EC, and US+EC methods. The influence of various control variables such as treatment time (1–5 h), current density (0.075–2.0 A dm–2), COD (1800–6000 mg L–1), inter-electrode distance (0.75–3.0 cm), electrode pairings (Fe/Fe, Fe/Al, Al/Fe, Al/Al), UV (8–32 W), and US (20–100 W) on the color and COD reduction were investigated to determine the optimum operating conditions. It was observed that, an increase in treatment time, current density, UV and US power, decrease in the COD, and inter-electrode distance with Fe/Fe electrode combination improved the COD removal efficiency. The UV and US+EC processes' synergy index was investigated and reported. The results showed that, the US+UV+EC treatment combination was effective in treating industrial effluent and wastewater.
Effect of pediatric ventilation weaning technique on work of breathing
Authors: Dijk Jefta van , Koopman Alette A , de Langen Limme B , Dijkstra Sandra , Burgerhof Johannes G.M. , Blokpoel Robert G.T. , Kneyber Martin C.J. 
Published: March 2022

Abstract
Background: Ventilator liberation is one of the most challenging aspects in patients with respiratory failure. Most patients are weaned through a transition from full to partial respiratory support, whereas some advocate using a continuous spontaneous ventilation (CSV). However, there is little scientific evidence supporting the practice of pediatric ventilator liberation, including the timing of onset of and the approach to weaning mode. We sought to explore differences in patient effort between a pressure controlled intermittent mode of ventilation (PC-IMV) with or without pressure support (PS) with a reduced ventilator rate and CSV, and to study changes in patient effort with decreasing PS. Methods: In this prospective physiology cross-over study, we randomized children <5 years to first PC-IMV ± PS with a 25% reduction in ventilator rate, or CSV (continuous positive airway pressure [CPAP] + PS). Patients were then crossed over to the other arm. Patient effort was measured by calculating work of breathing (WOB) using the Campbell diagram (WOBCampbell), and by pressure-rate-product (PRP) and pressure-time-product (PTP). Respiratory inductance plethysmography (RIP) was used to calculate the phase angle. Measurements were obtained at baseline, during PC-IMV ± PS and CPAP + PS, and during decreasing set PS (maximum -6 cmH2O). Results: Thirty-six subjects with a median age of 4.4 (IQR 1.5 – 11.9) months and median ventilation time of 4.9 (IQR 3.4 – 7.0) days were included. Nearly all patients (94.4%) were admitted with primary respiratory failure. WOBCampbell during baseline (0.67 (IQR 0.38 – 1.07) Joules/L) did not differ between CSV (0.49 (IQR 0.17 – 0.83) Joules/L) or PC-IMV ± PS ± PS ±PS (0.47 (IQR 0.17 – 1.15) Joules/L). Neither PRP, PTP, ∆Pes nor phase angle was different between the two ventilator modes. Reducing pressure support resulted in a statistically significant increase in patient effort, albeit that these differences were clinically negligible.Conclusions: Patient effort during pediatric ventilation liberation was not increased when patients were in a CSV mode of ventilation compared to a ventilator mode with a ventilator back-up rate. Reducing the level of PS did not lead to clinically relevant increases in patient effort. These data may aid in a better approach to pediatric ventilation liberation. Trial registration: clinicaltrials.gov NCT05254691. Registered 24 February 2022
An Integrated Analysis and Comparison of Serum, Saliva and Sebum for COVID-19 Metabolomics
Authors: Spick Matt , Lewis Holly M , Frampas Cecile F , Longman Katie , Costa Catia , Stewart Alexander , Dunn-Walters Deborah , Skene Debra J , Barran Perdita , Wilde Michael J , Evetts George , Greener Danni , Sinclair Eleanor , Bailey Melanie J 
Published: March 2022

Abstract
Non-invasive sampling approaches are desirable in healthcare settings due to the lower burden on patients and clinical staff. In the field of metabolomics, however, most studies have utilised blood serum or plasma. In this work 83 COVID-19 positive and negative hospitalised participants provided serum, saliva and sebum samples for analysis by mass spectrometry. Here we present the first comprehensive analysis of correlations between serum metabolites, salivary metabolites and sebum lipids, and consider their relative accuracy in differentiating COVID-19 positive participants from controls. Sebum lipids showed clear correlations to serum metabolites, with widespread changes to the serum-sebum lipid axis in COVID-19 positive participants, evidence of multi-organ dyslipidemia. In the COVID-19 positive cohort, correlations were notably marked between sebum lipids and the immunostimulatory hormone dehydroepiandrosterone sulphate. In terms of diagnostic accuracy, serum performed best by multivariate analysis (sensitivity and specificity of 0.97), with the dominant changes in triglyceride and bile acid levels, concordant with other studies identifying dyslipidemia as a hallmark of COVID-19 infection. Sebum diagnostic accuracy performed well (sensitivity 0.92; specificity 0.84), with saliva offering weaker diagnostic accuracy (sensitivity 0.78; specificity 0.83). These findings highlight the potential for integrated biofluid analyses to provide insight into the whole-body atlas of pathophysiological conditions.
Molecular insights into biogenesis of glycosylphosphatidylinositol anchor proteins
Authors: Xu Yidan , Jia Guowen , Li Tingting , Zhou Zixuan , Luo Yitian , Chao Yulin , Bao Juan , Su Zhaoming , Qu Qianhui , Li Dianfan 
Published: March 2022

Abstract
Eukaryotic cells are coated with an abundance of glycosylphosphatidylinositol anchor proteins (GPI-APs) that play crucial roles in fertilization, neurogenesis, and immunity. Covalent addition of structurally diverse GPI anchorages at the carboxyl termini of target proteins is catalyzed by an endoplasmic reticulum integral membrane GPI transamidase complex (GPI-T) conserved among all eukaryotes. Despite its important role in developmental and cancer biology, a detailed picture of this intricate multi-component machinery remains elusive. Here, we report the cryo-electron microscopy (EM) structure of the human GPI-T complex at a global 2.53 Å resolution, revealing an assembly mechanism whereby the catalytic subunit PIGK is optimally positioned to accommodate its characteristic amphipathic substrates. Further, structural and functional characterizations suggest a previously unrecognized composite GPI-binding site formed by PIGU/PIGK/PIGT subunits and rationalize genetic diseases associated with GPI-T point mutations. Our work presents an important step towards the mechanistic understanding of GPI-AP biosynthesis.
The prognostic value of the ratio of standard uptake value of lymph node to primary tumor before treatment of locally advanced nasopharyngeal carcinoma
Authors: Chen Yibiao , Lou Yunlong , Chen Dandan , lin zheng , sun jianda , song li , chen wenzhong , zhang ming 
Published: March 2022

Abstract
Background: To evaluate the prognostic value of the ratio of the standard uptake value of the lymph node to the primary tumor before treatment of locally advanced nasopharyngeal carcinoma.Methods: A total of 180 patients with locally advanced nasopharyngeal carcinoma diagnosed pathologically from January 1, 2016, to December 31, 2018, were selected, and the MEDEX system was used to automatically delineate lymph node metastases SUVmax (LN-SUVmax) and nasopharyngeal carcinoma primary tumor SUVmax (T-SUVmax). In addition, the ratio NTR of LN-SUVmax to T-SUVmx was calculated, and an ROC curve was drawn to obtain the best cut-off value. Kaplan–Meier and Cox regression models were used for survival and multivariate analyses, respectively.Results: The median follow-up period of 180 patients was 32 (4–62) months. Univariate analysis showed that age (P = 0.013), LN-SUVmax (P = 0.001), and NTR (P = 0.001) were factors influencing overall survival (OS). Factors affecting local progression-free survival (LPFS) were LN-SUVmax (P = 0.005) and NTR (P = 0.020), while clinical stage (P = 0.023), LN-SUVmax (P = 0.007), and NTR (P = 0.032) were factors affecting Distant metastasis-free survival (DMFS). Multivariate analysis showed that NTR was an independent influencing factor of OS (HR = 3.00, 95%CI = 1.06–8.4, P = 0.038), LPFS (HR = 3.08, 95%CI = 1.27–7.50, P = 0.013), and DMFS (HR = 1.84, 95%CI = 0.99–3.42, P = 0.054). Taking OS as the main observation point, the best cut-off point of NTR was 0.95. Kaplan–Meier results showed that the 3-year OS (97.0% vs. 85.4%, c2=11.25, P = 0.001), 3-year LPFS (91.3% vs. 82.1%, c2 = 4.035, P = 0.045), and 3-year DMFS (92.3% vs. 87.9%, c2 = 4.576, P = 0.032) of patients with NTR < 0.95 were higher than those with NTR > 0.95.Conclusions: High NTR before treatment may lead to poor prognosis of patients with nasopharyngeal carcinoma. This can serve as a reference value for the reasonable treatment and prognosis monitoring of such patients.