bluuebunny/crossref_metadata_2025_split huggingface dataset:
A systematic review with network meta-analysis on mono strategy of anaesthesia for preeclampsia in caesarean section
Authors: Cheng Chu , Liao Alan Hsi-Wen , Chen Chien-Yu , Lin Yu-Cih , Kang Yi-No 
Published: March 2021

AbstractThe aim of this study was to reveal the effects of anaesthesia strategies on maternal mean arterial pressure (MAP), heart rate, vasopressor consumption, adverse events, and neonatal resuscitation when women with preeclampsia (PE) undergo caesarean section (CS). Three major databases were searched for randomized controlled trials (RCTs) and prospective controlled studies (PCSs). Two authors independently screened, extracted, and checked eligibility and outcome data. Outcomes involved MAP, vasopressor use, maternal adverse events, APGAR scores, and neonatal resuscitation. Pooled estimates were carried out by contrast-based network meta-analysis, and pooled effect sizes were presented with 95% confidence interval (CI). Eleven RCTs and one PCS (n = 782) formed three-node network meta-analysis, and non-significant differences were observed in MAP, 5-min APGAR score, and neonatal intubation rate among the three anaesthesia strategies. General anaesthesia had significantly lower vasopressor consumption than spinal anaesthesia did (standardised mean difference =  − 1.19, 95% confidence interval [CI]: − 1.76 to − 0.63), but it had higher maternal adverse event rate (risk ratio = 2.00, 95% CI 1.16–3.47). Because no optimal anaesthesia strategy has been shown to achieve a balanced maternal and neonatal outcome, therefore a shared decision-making process may be required regarding the most suitable choice of anaesthetic strategy for individual preeclamptic mother undergoing CS. Future larger studies may need to focus on evaluating the role of vasopressors on maternal hemodynamic as well as factors affecting maternal outcomes for different anaesthetic techniques in preeclamptic women undergoing CS.
The influence of obstructive sleep apnea syndrome on anthropometric parameters at 12 months after laparoscopic sleeve gastrectomy
Authors: Mihalache Laura , Siriopol Dimitrie , Arhire Lidia Iuliana , Pădureanu Sergiu , Preda Cristina , Boișteanu Daniela , Scripcariu Dragoș , Cusai Silvia , Covic Adrian 
Published: March 2021

AbstractThe aim of this study was to assess the influence of obstructive sleep apnea syndrome (OSAS) on the change in anthropometric parameters and body composition, in patients undergoing laparoscopic sleeve gastrectomy (LSG). This prospective study included patients undergoing LSG who had pre-operative polysomnography data and were also evaluated at six and 12 months after surgery. All patients included also had whole body composition analysis data before surgery and at six and 12 months after surgery. The results are presented in comparison between patients with and without OSAS. We included 73 patients in the analysis with a mean ± SD age and body mass index (BMI) of 40.3 ± 10.9 years and 45.4 ± 6.3 kg/m2, respectively. As compared to the baseline levels, at 6 months there was a significant decrease in BMI, weight, waist circumference, serum glucose and HbA1c. At 12 months there was no further decrease as compared to the 6 months levels, irrespective of OSAS status. We observed a significant decrease at 6 months in percentage of fat, in both types of patients. However, as compared to the 6 months levels, at 12 months the percent fat had a significant decrease only in patients without OSAS (− 4.6%, 95% CI − 7.6 to − 1.7%) and not in those with OSAS (− 2.2%, 95% CI − 4.5 to 0.2%). In our study, patients with OSAS showed a similar decrease in different anthropometric parameters as those without OSAS after LSG. However, at 12 months of follow-up there was a significant decrease in the percent fat only in patients without OSAS.
Structural insights into phosphatidylethanolamine formation in bacterial membrane biogenesis
Authors: Cho Gyuhyeok , Lee Eunju , Kim Jungwook 
Published: March 2021

AbstractPhosphatidylethanolamine (PE), a major component of the cellular membrane across all domains of life, is synthesized exclusively by membrane-anchored phosphatidylserine decarboxylase (PSD) in most bacteria. The enzyme undergoes auto-cleavage for activation and utilizes the pyruvoyl moiety to form a Schiff base intermediate with PS to facilitate decarboxylation. However, the structural basis for self-maturation, PS binding, and decarboxylation processes directed by PSD remain unclear. Here, we present X-ray crystal structures of PSD from Escherichia coli, representing an apo form and a PE-bound complex, in which the phospholipid is chemically conjugated to the essential pyruvoyl residue, mimicking the Schiff base intermediate. The high-resolution structures of PE-complexed PSD clearly illustrate extensive hydrophobic interactions with the fatty acyl chains of the phospholipid, providing insights into the broad specificity of the enzyme over a wide range of cellular PS. Furthermore, these structures strongly advocate the unique topology of the enzyme in a lipid bilayer environment, where the enzyme associates with cell membranes in a monotopic fashion via the N-terminal domain composed of three amphipathic helices. Lastly, mutagenesis analyses reveal that E. coli PSD primarily employs D90/D142–H144–S254 to achieve auto-cleavage for the proenzyme maturation, where D90 and D142 act in complementary to each other.
Event-related components are structurally represented by intrinsic event-related potentials
Authors: Tsai Chong-Chih , Liang Wei-Kuang 
Published: March 2021

AbstractThe detection of event-related potentials (ERPs) through electroencephalogram (EEG) analysis is a well-established method for understanding brain functions during a cognitive process. To increase the signal-to-noise ratio (SNR) and stationarity of the data, ERPs are often filtered to a wideband frequency range, such as 0.05–30 Hz. Alternatively, a natural-filtering procedure can be performed through empirical mode decomposition (EMD), which yields intrinsic mode functions (IMFs) for each trial of the EEG data, followed by averaging over trials to generate the event-related modes. However, although the EMD-based filtering procedure has advantages such as a high SNR, suitable waveform shape, and high statistical power, one fundamental drawback of the procedure is that it requires the selection of an IMF (or a partial sum of a range of IMFs) to determine an ERP component effectively. Therefore, in this study, we propose an intrinsic ERP (iERP) method to overcome the drawbacks and retain the advantages of event-related mode analysis for investigating ERP components. The iERP method can reveal multiple ERP components at their characteristic time scales and suitably cluster statistical effects among modes by using a tailored definition of each mode’s neighbors. We validated the iERP method by using realistic EEG data sets acquired from a face perception task and visual working memory task. By using these two data sets, we demonstrated how to apply the iERP method to a cognitive task and incorporate existing cluster-based tests into iERP analysis. Moreover, iERP analysis revealed the statistical effects between (or among) experimental conditions more effectively than the conventional ERP method did.
Origin of n type properties in single wall carbon nanotube films with anionic surfactants investigated by experimental and theoretical analyses
Authors: Yonezawa Susumu , Chiba Tomoyuki , Seki Yuhei , Takashiri Masayuki 
Published: March 2021

AbstractWe investigated the origin of n-type thermoelectric properties in single-wall carbon nanotube (SWCNT) films with anionic surfactants via experimental analyses and first-principles calculations. Several types of anionic surfactants were employed to fabricate SWCNT films via drop-casting, followed by heat treatment at various temperatures. In particular, SWCNT films with sodium dodecylbenzene sulfonate (SDBS) surfactant heated to 350 °C exhibited a longer retention period, wherein the n-type Seebeck coefficient lasted for a maximum of 35 days. In x-ray photoelectron spectroscopy, SWCNT films with SDBS surfactant exhibited a larger amount of sodium than oxygen on the SWCNT surface. The electronic band structure and density of states of SWCNTs with oxygen atoms, oxygen molecules, water molecules, sulfur atoms, and sodium atoms were analyzed using first-principles calculations. The calculations showed that sodium atoms and oxygen molecules moved the Fermi level closer to the conduction and valence bands, respectively. The water molecules, oxygen, and sulfur atoms did not affect the Fermi level. Therefore, SWCNT films exhibited n-type thermoelectric properties when the interaction between the sodium atoms and the SWCNTs was larger than that between the oxygen molecules and the SWCNTs.
Unactivated leukocyte expression of C-reactive protein is minimal and not dependent on rs1205 genotype
Authors: Best L. G. , Azure C. , Martell K. , Tsosie K. S. , Voels B. 
Published: March 2021

AbstractC-reactive protein (CRP), a prominent component of the innate immune system, is implicated in the pathophysiology of many conditions. CRP production primarily occurs in the liver; but contributions from other tissues is unclear. The Genotype-Tissue Expression Portal shows essentially no expression in whole blood and reports in the literature are conflicting. Multiple genomic variants influence serum levels of CRP. We measured CRP mRNA expression in leukocytes and sought to determine if rs1205 genotype influences leukocyte expression. Leukocytes were obtained from 20 women differing by genotype. Quantitative, real-time PCR (RT-qPCR) detected CRP and reference gene (GAPDH) mRNA. Leukocyte expression was calculated by the 2ΔCT method, and against a standard curve. Digital drop PCR was also used to calculate expression ratios. Student's t test and linear regression methods examined possible differences between genotypes. During 32 runs (10 replicates each), the RT-qPCR mean (SD) CRP/GAPDH ratio was 3.39 × 10–4 (SD 1.73 × 10–4) and 3.15 × 10–4 (SD 1.64 × 10–4) for TT and CC genotypes respectively, p = 0.76; and digital drop PCR results were similar. Serum CRP was not significantly different between genotypes, nor correlated with leukocyte expression. CRP is minimally expressed in unactivated leukocytes and this expression is not likely influenced by rs1205 genotype.
Histopathological analysis of mucinous breast cancer subtypes and comparison with invasive carcinoma of no special type
Authors: Budzik Michał Piotr , Fudalej Marta Magdalena , Badowska-Kozakiewicz Anna Maria 
Published: March 2021

AbstractMucinous breast cancer (MBC) is a rare histological type of breast cancer characterized primarily by mucin's production and extracellular presence. MBC is usually associated with a better prognosis than other invasive breast neoplasms. Because of the low prevalence, MBC biology is not well understood. The aim of the present study was to introduce the last 2-year experience regarding MBC pathological diagnostics in our clinical center and comparison of the obtained data with invasive breast carcinoma of no special type (NST) comprising the most common invasive breast cancer. We identified 24 MBC cases representing 3.09% of all 766 invasive breast cancers, including 15 cases of pure type and 9 mixed MBCs. The median MBC patients' age at presentation was 65.5 years. Compared to NST, MBC presented a higher T stage with a statistically larger tumor median size, although lower regional lymph node involvement, tumor histological grade and TNM stage. MBC is a rare type of breast cancer, accounting for about 4% of all diagnosed breast cancers. Our findings are consistent with those published in recent years and show significant differences between MBC and NST cancer patients and also highlight differences between pure and mixed MBC, emphasizing the essence of their differentiation. MBC is associated with a better long-term prognosis than NST and is characterized by the less aggressive biological behavior expressed through favorable clinicopathologic features in terms of tumor grade, regional lymph node involvement and hormone receptor status.
An Integrated biomarker approach for explaining the potency of exogenous glucose on transportation induced stress in Labeo rohita fingerlings
Authors: Biswal Abhilipsa , Srivastava Prem Prakash , Krishna Gopal , Paul Tapas , Pal Prasenjit , Gupta Subodh , Varghese Tincy , Jayant Manish 
Published: March 2021

AbstractTransportation of fish seed is a complex phenomenon associated with multiple kinds of stressors that simultaneously affect the fish in a confined environment, causing stress and mortality. The present study investigated the stress-relieving effect of exogenous glucose as a water additive in different concentrations (0.1, 0.2, 0.3, and 0.4%) during simulated transportation (12 h) of L. rohita fingerlings. The integrated biomarker response (IBR) index is a holistic tool to determine the optimum dose of exogenous glucose for mitigating transportation stress in fish. Based on selected biomarkers related to the stress hormone, serum biochemistry, oxidative stress, and HSP70 mRNA expression, the IBR index is calculated for each treatment and control group. The result showed a significant change in the level of stress hormone cortisol, enzymes (SGPT, LDH, MDH, SOD, CAT) and metabolites (serum glucose, triglyceride, creatinine) along with an upregulation in liver HSP70 mRNA expression. IBR index suggests that 0.2% glucose exhibited the lowest multi-biomarker stress response in comparison to other treatments and control. Therefore, the use of 0.2% glucose as a water additive will provide a solution to transportation induced stress in L. rohita fingerling and will underwrite the success of grow-out fish culture in days to come.
Hyperpolarized 13C-glucose magnetic resonance highlights reduced aerobic glycolysis in vivo in infiltrative glioblastoma
Authors: Mishkovsky Mor , Gusyatiner Olga , Lanz Bernard , Cudalbu Cristina , Vassallo Irene , Hamou Marie-France , Bloch Jocelyne , Comment Arnaud , Gruetter Rolf , Hegi Monika E. 
Published: March 2021

AbstractGlioblastoma (GBM) is the most aggressive brain tumor type in adults. GBM is heterogeneous, with a compact core lesion surrounded by an invasive tumor front. This front is highly relevant for tumor recurrence but is generally non-detectable using standard imaging techniques. Recent studies demonstrated distinct metabolic profiles of the invasive phenotype in GBM. Magnetic resonance (MR) of hyperpolarized 13C-labeled probes is a rapidly advancing field that provides real-time metabolic information. Here, we applied hyperpolarized 13C-glucose MR to mouse GBM models. Compared to controls, the amount of lactate produced from hyperpolarized glucose was higher in the compact GBM model, consistent with the accepted “Warburg effect”. However, the opposite response was observed in models reflecting the invasive zone, with less lactate produced than in controls, implying a reduction in aerobic glycolysis. These striking differences could be used to map the metabolic heterogeneity in GBM and to visualize the infiltrative front of GBM.
Hong-Ou-Mandel interferometry and spectroscopy using entangled photons
Authors: Dorfman Konstantin E. , Asban Shahaf , Gu Bing , Mukamel Shaul 
Published: March 2021

AbstractOptical interferometry has been a long-standing setup for characterization of quantum states of light. Both linear and the nonlinear interferences can provide information regarding the light statistics and underlying detail of the light-matter interactions. Here we demonstrate how interferometric detection of nonlinear spectroscopic signals may be used to improve the measurement accuracy of matter susceptibilities. Light-matter interactions change the photon statistics of quantum light, which are encoded in the field correlation functions. Application is made to the Hong-Ou-Mandel two-photon interferometer that reveals entanglement-enhanced resolution that can be achieved with existing optical technology.
A Preliminary Look Into the Clinical Evolution of Motor Speech Characteristics in Primary Progressive Apraxia of Speech in Québec French
Authors: Bouvier Liziane , Monetta Laura , Vitali Paolo , Laforce Robert , Martel-Sauvageau Vincent 
Published: March 2021

PurposeThis study aimed to track changes in acoustical and perceptual features of motor speech in patients with phonetic and prosodic primary progressive apraxia of speech (PPAOS) in Québec French over an 18-month period.MethodA prospective multiple-case series with multiple testing periods, including four participants with a diagnosis of PPAOS, was conducted. Participants were 0.5–4 years postonset of disease at baseline. They underwent comprehensive motor speech and language assessments and cognitive screening every 6 months for up to 18 months. Acoustical and perceptual analyses of motor speech were conducted.ResultsResults showed a considerable impairment in motor speech abilities for patients with PPAOS at all time points and a significant decrease in performance for almost all articulatory and prosodic measures over time. Passage reading and diadochokinesis seemed particularly promising for the tracking of changes in PPAOS motor speech characteristics and PPAOS classification. Quantifying length of speech runs made it possible to distinguish phonetic from prosodic PPAOS. Finally, the patients who evolved to phonetic PPAOS developed aphasia, and the two with prosodic PPAOS showed greater motor symptoms such as unequivocal dysarthria.ConclusionThis study extends the growing literature on PPAOS and its subtypes by describing specific changes in articulatory and prosodic abilities over a period of at least 6 months, which are important for the diagnosis and management of PPAOS.
Modified QUIC protocol with congestion control for improved network performance
Authors: Kharat Prashant , Kulkarni Muralidhar 
Published: March 2021

AbstractIn the networks, a transport layer is responsible for reliable data with guaranteed Quality of Service. A Modified‐QUIC protocol provides improved throughput and reduced latency of the network. This work proposes a modification in handshaking mechanism for QUIC protocol to minimize overhead due to control signals and time required to update the congestion‐window size. This modification fine‐tunes the window update mechanism with the acknowledgment frame, which results in a smooth variation in the congestion‐window size. This leads to the control congestion by regulating traffic in the network. In the proposed mechanism, unnecessary time out events are avoided by updating the congestion‐window on receipt of the acknowledgment frame. This work has been carried out using two different testbed setups to verify the transport layer and a browser network performance. It has been observed that a Modified‐QUIC protocol is easy to deploy, improves the throughput and data rate by 35% and 3.43%, respectively, over the QUIC protocol. The average fairness index is increased with a file size and for the long live traffic.
Neural guided visual slam system with Laplacian of Gaussian operator
Authors: Zhang Ge , Yan Xiaoqiang , Xu Yulong , Ye Yangdong 
Published: March 2021

AbstractSimultaneous localization and mapping (SLAM) addresses the problem of constructing the map from noisy sensor data and tracking the robot's path within the built map. After decades of development, a lot of mature systems achieve competent results in feature‐based implementations. However, there are still problems when migrating the technology to practical applications. One typical example is the accuracy and robustness of SLAM in environment with illuminance and texture variations. To this end, two modules in the existing systems are improved here namely tracking and camera relocalization. In tracking module, image pyramid is processed with Laplacian of Gaussian (LoG) operator in feature extraction for enhanced edges and details. A majority voting mechanism is proposed to dynamically evaluate and redetermine the zero‐mean sum of square difference threshold according to the matching error estimation in patch search. In camera relocalization module, full convolutional neural network which focuses on certain parts of the input data is utilized in guiding for accurate output predictions. The authors implement the two modules into OpenvSLAM and propose a neural guided visual SLAM system named LoG‐SLAM. Experiments on publicly available datasets show that the accuracy and efficiency increase with LoG‐SLAM when compared with other feature‐based methods, and relocalization accuracy also improves compared with the recently proposed deep learning pipelines.
Frequency analysis in fault detection of dual‐channel BLDC motors with combined star–delta winding
Authors: Korkosz Mariusz , Prokop Jan , Pakla Bartłomiej , Bogusz Piotr 
Published: March 2021

AbstractThis study compares the properties of dual‐channel brushless DC motors with permanent magnets (DCBLDCMs) in three configurations of the stator windings of both channels. An analysis was performed of star‐connected (Y), delta‐connected (Δ), and combined star–delta (YΔ) channel windings. A proprietary mathematical model of a DCBLDCM machine with combined star–delta windings is presented. Each type of winding configuration was evaluated in terms of tolerance to the occurrence of a discontinuity in the channel. An Fast Fourier Transform (FFT) analysis of the selected voltage signal was used to diagnose the operating status of the DCBLDCM. It was demonstrated that it provides unambiguous information about the operating status of individual channels of the motor. In the case od 24/10 DCBLDCM design, the harmonic spectra of a selected voltage signal in relation to the artificial neutral point, are presented. The results of simulation tests were compared with the results of laboratory measurements. It was demonstrated that an FFT analysis of a voltage signal in relation to the artificial neutral point identifies a fault in a channel of the motor. When evaluating the characteristics of individual winding configurations, the value of electromagnetic torque, torque ripple, system efficiency, and emitted noise were taken into account. In the conclusions, the advantages of the combined star–delta winding compared to the traditional star and delta winding configurations are presented.
Coordinated operation of coupled transportation and power distribution systems considering stochastic routing behaviour of electric vehicles and prediction error of travel demand
Authors: Geng Lijun , Lu Zhigang , Guo Xiaoqiang , Zhang Jiangfeng , Li Xueping , He Liangce 
Published: March 2021

AbstractThe popularisation of electric vehicles (EVs) and the development of dynamic wireless charging technology have created an emerging trend of transportation electrification, which strengthens the coupling between electrified transportation network (ETN) and power distribution network (PDN). Meanwhile, the stochastic routing behaviour of EVs and prediction error of traffic demand pose a severe challenge to the coordinated ETN‐PDN operation problem. This paper proposes a new hybrid optimisation method using stochastic user equilibrium (SUE)/information gap decision theory (IGDT) to study the impact of the unavoidable uncertainties on the coordinated ETN‐PDN operation, which consists of the following two stages. In the first stage, a collaborative optimisation model based on SUE and Dist‐Flow equations is established to deal with the stochastic EV routing behaviour. Built upon this model, the second stage continues to consider the traffic demand prediction error and establish a risk decision model using IGDT. The proposed model can provide proper road congestion tolls and local generator production schedules to lead to a minimum expected socio‐economic cost. Also, two different coordinated operation strategies, that is, risk‐seeker and risk‐averse strategies, are provided to deal with the uncertainties. Case studies are carried out to demonstrate the effectiveness of the hybrid SUE/IGDT optimisation method.