bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prognostic impact of blood urea nitrogen to albumin ratio on patients with sepsis: a retrospective cohort study
Authors: Wang Yuhe , Gao Shan , Hong Lei , Hou Tingting , Liu Huihui , Li Meng , Yang Shu , Zhang Yong 
Published: June 2023

AbstractTo investigate the ability of the ratio of blood urea nitrogen (BUN) to serum albumin ratio (BAR) in patients with sepsis in intensive care units (ICUs) to predict the prognosis of short-and long-term death. Data are from the Marketplace for Intensive Care Medical Information IV (MIMIC-IV v2.0) database for patients with sepsis as defined by SEPSIS-3. The primary outcome was 30-day mortality and the secondary outcome was 360-day mortality. Kaplan–Meier (KM) survival curves were plotted to describe differences in BAR mortality in different subgroups and area under the curve (AUC) analysis was performed to compare the predictive value of sequential organ failure assessment (SOFA), BAR, blood urea nitrogen (BUN) and albumin. Multivariate Cox regression models and subgroup analysis were used to determine the correlation between BAR and 30-day mortality and 360-day mortality. A total of 7656 eligible patients were enrolled in the study with a median BAR of 8.0 mg/g, including 3837 in the ≤ 8.0 group and 3819 in the BAR > 8.0 group, with 30-day mortality rates of 19.1% and 38.2% (P < 0.001) and 360-day mortality rates of 31.1% and 55.6% (P < 0.001). Multivariate Cox regression models showed an increased risk of death for 30-day mortality (HR = 1.219, 95% CI 1.095–1.357; P < 0.001) and 360-day mortality (HR = 1.263, 95% CI 1.159–1.376; P < 0.001) in the high BAR group compared to the low BAR group. For the 30-day outcome, the area under the curve (AUC) was 0.661 for BAR and 0.668 for 360-day BAR. In the subgroup analysis, BAR remained an isolated risk factor for patient death. As a clinically inexpensive and readily available parameter, BAR can be a valuable forecaster of prognosis in patients with sepsis in the intensive care unit.
Causal factors in primary open angle glaucoma: a phenome-wide Mendelian randomisation study
Authors: Julian Thomas H. , Girach Zain , Sanderson Eleanor , Guo Hui , Yu Jonathan , Cooper-Knock Johnathan , Black Graeme C. , Sergouniotis Panagiotis I. 
Published: June 2023

AbstractPrimary open angle glaucoma (POAG) is a chronic, adult-onset optic neuropathy associated with characteristic optic disc and/or visual field changes. With a view to identifying modifiable risk factors for this common neurodegenerative condition, we performed a ‘phenome-wide’ univariable Mendelian randomisation (MR) study that involved analysing the relationship between 9661 traits and POAG. Utilised analytical approaches included weighted mode based estimation, the weighted median method, the MR Egger method and the inverse variance weighted (IVW) approach. Eleven traits related to POAG risk were identified including: serum levels of the angiopoietin-1 receptor (OR [odds ratio] = 1.11, IVWp = 2.34E-06) and the cadherin 5 protein (OR = 1.06, IVWp = 1.31E-06); intraocular pressure (OR = 2.46–3.79, IVWp = 8.94E-44–3.00E-27); diabetes (OR = 5.17, beta = 1.64, IVWp = 9.68E-04); and waist circumference (OR = 0.79, IVWp = 1.66E-05). Future research focussing on the effects of adiposity, cadherin 5 and angiopoietin-1 receptor on POAG development and progression is expected to provide key insights that might inform the provision of lifestyle modification advice and/or the development of novel therapies.
Frequency and characteristics of patients with bispectral index values of 60 or higher during the induction and maintenance of general anesthesia with remimazolam
Authors: Choi Byung-Moon , Lee Ju-Seung , Kim Kyung Mi , Bang Ji-Yeon , Lee Eun-Kyung , Noh Gyu-Jeong 
Published: June 2023

AbstractIn Korea, the approved anesthetic regimen of remimazolam starts with 6 mg/kg/h or 12 mg/kg/h until loss of consciousness, followed by maintenance at 1–2 mg/kg/h. Some patients receiving remimazolam for general anesthesia experience occasional difficulty maintaining bispectral index (BIS) value ˂ 60. This retrospective study aimed to analyze the data from patients undergoing elective surgery under remimazolam based-general anesthesia to determine the frequency and physical characteristics of patients with BIS values ˂ 60. The criterion was established for patients with a poorly maintained BIS value < 60. The frequency and physical characteristics of patients who satisfied this criterion were investigated through their medical records. The modified Brice interview was conducted within 24 h after surgery. Among the 1500 patients included in the analysis, 61 (4.1%) met the criteria for BIS ˂ 60. Based on the modified Brice interview, none of the patients with poorly maintained BIS ˂ 60 complained of intraoperative awareness based on the modified Brice interview or exhibit specific physical characteristics. These patients accounted for less than 5% of the total population studied. Notably, physical characteristics alone are insufficient to predict such patients before surgery.
Characteristics of gut microbiota in patients with metabolic associated fatty liver disease
Authors: Yang Chao , Xu Jianguo , Xu Xiaomin , Xu Wen , Tong Bangzhuo , Wang Shulin , Ji Rujie , Tan Yan , Zhu Ying 
Published: June 2023

AbstractMetabolic associated fatty liver disease (MAFLD) is rising in incidence and is an increasingly common cause of cirrhosis and hepatocellular carcinoma (HCC). Alterations in the gut microbiota have been shown to correlate with the development and progression of MAFLD. However, little is known regarding differences in the gut microbiomes of MAFLD patients and healthy cohorts, and subgroups at the abnormal activity of hepatic enzymes in China. In this study, we enrolled 81 MAFLD patients and 25 healthy volunteers. The fecal microbiota was assessed using 16S rRNA gene sequencing and metagenomic sequencing. The results suggested that Ruminococcus obeum and Alistipes were most enriched in healthy individuals when compared with MAFLD patients. Microbe‐set Enrichment Analysis (MSEA) results showed Dorea, Lactobacillus and Megasphaera are enriched in MAFLD group. We also found that Alistipes has negatively related to serum glucose (GLU), gamma-glutamyl transferase (GGT), and alanine aminotransferase (ALT). Moreover, the abundance of Dorea was found to be significantly overrepresented in the MAFLD patients and the degree of enrichment increased with the increasing abnormal liver enzyme. An increase in Dorea, combined with decreases in Alistipes appears to be characteristic of MAFLD patients. Further study of microbiota may provide a novel insight into the pathogenesis of MAFLD as well as a novel treatment strategy.
Novel synthesis of siligraphene/tungstates (g-SiC/AWO) with promoted transportation of photogenerated charge carriers via direct Z-scheme heterojunctions
Authors: Afsharpour Maryam , Darvishi-Farash Somayeh 
Published: June 2023

AbstractWe developed here the efficient photocatalysts for the removal of high concentrations of tetracycline under visible light by immobilizing the AWO (A = Ag, Bi, Na) nanocrystals on the surface of siligraphene (g-SiC) nanosheets. The g-SiC/AWO composites was synthesized by magnesiothermic synthesis of g-SiC and sonochemical immobilization of tungstates. These new heterojunctions of g-SiC/tungstates show superior photocatalytic activities in the degradation of high concentrations of tetracycline and 97, 98, and 94% of tetracycline were removed by using low amounts of g-SiC/Ag2WO4, g-SiC/Bi2WO6, and g-SiC/Na2WO4 catalysts, respectively. Based on band structures, the band gaps reduce and the photocatalytic activities were extremely enhanced due to the shortening of electron transfer distance through the Z-scheme mechanism. Also, the graphenic structure of g-SiC is another parameter that was effective in improving photocatalytic performance by increasing the electron transfer and decreasing the rate of electron–hole recombination. Furthermore, the π back-bonding of g-SiC with metal atoms increases the electron–hole separation to enhance the photocatalytic activity. Interestingly, g-SiC composites (g-SiC/AWO) showed much higher photocatalytic properties compared to graphene composites (gr/AWO) and can remove the tetracycline even at dark by producing the oxygenated radicals via adsorption of oxygen on the positive charge of Si atoms in siligraphene structure.
Characterization of two novel lytic bacteriophages having lysis potential against MDR avian pathogenic Escherichia coli strains of zoonotic potential
Authors: Sattar Sadia , Bailie Marc , Yaqoob Akasha , Khanum Sofia , Fatima Kaniz , Altaf Anees Ur Rehman Bin , Ahmed Ibrar , Shah Syed Tahir Abbas , Munawar Javeria , Zehra Quaratul Ain , Daud Sajeela , Arshad Ayesha , Imdad Kaleem , Javed Sundus , Tariq Amira , Bostan Nazish , Altermann Eric 
Published: June 2023

AbstractAvian pathogenic E. coli (APEC) is associated with local and systemic infections in poultry, ducks, turkeys, and many other avian species, leading to heavy economical losses. These APEC strains are presumed to possess zoonotic potential due to common virulence markers that can cause urinary tract infections in humans. The prophylactic use of antibiotics in the poultry sector has led to the rapid emergence of Multiple Drug Resistant (MDR) APEC strains that act as reservoirs and put human populations at risk. This calls for consideration of alternative strategies to decrease the bacterial load. Here, we report isolation, preliminary characterization, and genome analysis of two novel lytic phage species (Escherichia phage SKA49 and Escherichia phage SKA64) against MDR strain of APEC, QZJM25. Both phages were able to keep QZJM25 growth significantly less than the untreated bacterial control for approximately 18 h. The host range was tested against Escherichia coli strains of poultry and human UTI infections. SKA49 had a broader host range in contrast to SKA64. Both phages were stable at 37 °C only. Their genome analysis indicated their safety as no recombination, integration and host virulence genes were identified. Both these phages can be good candidates for control of APEC strains based on their lysis potential.
High-gain printed monopole antenna with dual-band characteristics using FSS-loading and top-hat structure
Authors: Danuor Patrick , Moon Jung-Ick , Jung Young-Bae 
Published: June 2023

AbstractIn this paper, a printed monopole antenna with high-gain and dual-band characteristics for applications in wireless local area networks and the internet of things sensor networks is presented. The proposed antenna consists of a rectangular patch with multiple matching stubs surrounded to improve the impedance bandwidth of the antenna. The antenna incorporates a cross-plate structure which is seated at the base of the monopole antenna. The cross-plate consist of metallic plates aligned perpendicularly which enhances the radiations from the edges of the planar monopole to maintain uniform omnidirectional radiation patterns within the antenna’s operating band. Furthermore, a layer of frequency selective surface (FSS) unit cells and a top-hat structure is added to the antenna design. The FSS layer consist of three unit cells printed at the back side of the antenna. The top-hat structure is placed on top of the monopole antenna and comprises of three planar metallic structures arranged in a hat-like configuration. The coupling of both the FSS layer and the top-hat structure presents a large aperture to increase the directivity of the monopole antenna. Thus, the proposed antenna structure realizes a high gain without compromising the omnidirectional radiation patterns within the antenna’s operating band. A prototype of the proposed antenna is fabricated where good agreement is achieved between the measured and full-wave simulation results. The antenna achieves an impedance bandwidth |S11| < − 10 dB and VSWR ≤ 2 for the L and S band at 1.6–2.1 GHz and 2.4–2.85 GHz, respectively. Furthermore, a radiation efficiency of 94.2% and 89.7% is realized at 1.7 and 2.5 GHz, respectively. The proposed antenna attains a measured average gain of 5.2 dBi and 6.1 dBi at the L and S band, respectively.
A screening method for cervical myelopathy using machine learning to analyze a drawing behavior
Authors: Yamada Eriku , Fujita Koji , Watanabe Takuro , Koyama Takafumi , Ibara Takuya , Yamamoto Akiko , Tsukamoto Kazuya , Kaburagi Hidetoshi , Nimura Akimoto , Yoshii Toshitaka , Sugiura Yuta , Okawa Atsushi 
Published: June 2023

AbstractEarly detection of cervical myelopathy (CM) is important for a favorable outcome, as its prognosis is poor when left untreated. We developed a screening method for CM using machine learning-based analysis of the drawing behavior of 38 patients with CM and 66 healthy volunteers. Using a stylus pen, the participants traced three different shapes displayed on a tablet device. During the tasks, writing behaviors, such as the coordinates, velocity, and pressure of the stylus tip, along with the drawing time, were recorded. From these data, features related to the drawing pressure, and time to trace each shape and combination of shapes were used as training data for the support vector machine, a machine learning algorithm. To evaluate the accuracy, a receiver operating characteristic curve was generated, and the area under the curve (AUC) was calculated. Models with triangular waveforms tended to be the most accurate. The best triangular wave model identified patients with and without CM with 76% sensitivity and 76% specificity, yielding an AUC of 0.80. Our model was able to classify CM with high accuracy and could be applied to the development of disease screening systems useful outside the hospital setting.
The ruthenium complex assists in nuclear targeting and selective killing of tumor cells
Authors: Lu Yu , Zhu Di , Chan Liujia , Hu Bo , Tuohan MarMar , Li Li , Wang Wei , Wang Yuji 
Published: June 2023

NBD-Ru has dual antitumor and antimetastatic activities. Its self-assembly ability and the binding ability to transferrin assist in nuclear targeting and selective killing of tumor cells. It could realize DNA binding, thus causing cell cycle arrest.
High sodium promotes the secretion and synthesis of PTH through PiT-1-IKKβ pathway in parathyroid gland in vitro
Authors: Shen Aiwen , Wang Yu , Ye Guoxin , Mao Jianping , Zhang Qian , Chen Jing 
Published: June 2023

Abstract
Parathyroid hormone (PTH) is secreted by the parathyroid glands (PTGs) and is an important hormone regulating mineral metabolism. Previous studies reported that high sodium diet will cause the increase in serum PTH, but the specific mechanism is unknown. Consequently, the present study aims to investigate the effects and mechanisms of high sodium on PTH synthesis and secretion from PTGs. We developed a tissue culture model using normal rat PTGs, discovered that sodium elicited and promoted concentration-dependent and time-dependent PTH secretion. Changes in sodium-associated transporters from PTGs incubated with high sodium were thoroughly examined. Increased expression of sodium-phosphate cotransporter Slc20a1 (also known as PiT-1) was observed. Further tests revealed that PiT-1 activated the NF-κB signaling pathway, resulting in increased IKKβ phosphorylation, IKBα degradation, and increased p65 phosphorylation followed by nuclear entry, which led to increased PTH transcription. Meanwhile, IKKβ phosphorylated SNAP23, promoting exocytosis and eventually led to increased PTH secretion. In conclusion, our findings indicate that PiT-1 plays an important role in the increased secretion and synthesis of PTH directly induced by high sodium under physiological conditions, and may provide a potential therapeutic target for secondary hyperparathyroidism (SHPT).
Gaussian low‐pass channel attention convolution network for RF fingerprinting
Authors: Zhang Shunjie , Wu Tianhao , Wang Wei , Zhan Ronghui , Zhang Jun 
Published: June 2023

AbstractRadio frequency (RF) fingerprinting is a challenging and important technique for individual identification of wireless devices. Recent work has applied deep learning‐based classifiers to ADS‐B signals without missing aircraft ID information. However, traditional methods are not very effective in achieving high accuracy for deep learning models to recognize RF signals. In this letter, a Gaussian low‐pass channel attention convolution network, which uses a Gaussian low‐pass channel attention module (GLCAM) to extract fingerprint features with low frequency. Specifically, in GLCAM, a frequency‐convolutional global average pooling module is designed to help the channel attention mechanism learn channel weights in the frequency domain. Experimental results on large‐scale real‐world ADS‐B signal datasets show that the method can achieve an accuracy of 92.08%, which is 6.21% higher than convolutional neural networks.
Model predictive current control with a finite set of novel voltages and modulator in permanent magnet synchronous motor drives
Authors: Kawai Hiroaki , Cordier Julien , Kennel Ralph , Doki Shinji 
Published: June 2023

AbstractFinite control set model predictive control (FCS–MPC) has been deployed extensively in electric motor drives and power electronics applications. Many advantages, including fast transient response, have been reported. However, the improvement of its steady‐state performance, that is, suppression of current ripple, is one of the main problems of a conventional FCS–MPC strategy. This article presents a current control strategy based on FCS–MPC using the concept of variable voltage smoothing. In the proposed method, a finite set of novel voltage vectors, produced by the smoothing process, are introduced as candidate control input candidates, and the controller generates the optimum output voltage using a modulator integrated with the FCS–MPC scheme. Thus, the voltage candidates are generated flexibly, and a suitable voltage for acceptable steady‐state performance is determined as the control input. In addition, the smoothness in the proposed concept can be updated automatically depending on the drive situation, that is, transient, or steady‐state operation, thus avoiding degradation of dynamic performance. Simulation and experimental results obtained with a permanent magnet synchronous motor drive system demonstrate that the proposed control strategy is effective to achieve current control with fast tracking performance while suppressing current ripple.
Analysis of isolated phase windings and permanent magnet assists high energy efficient hybrid‐reluctance motor for electric vehicle
Authors: Prabhu Sundaramoorthy , Vijayakumar Arun , Stonier Albert Alexander , Peter Geno , Dorji Sonam , Ganji Vivekananda 
Published: June 2023

AbstractThis article describes the electromagnetic analysis of high efficient hybrid motor, which comprises the salient features of switched reluctance motor (SRM) and spoke‐type brushless DC motor. The main objective is to develop a motor with a high‐power density and winding faulty capability. Furthermore, this research article extends in the manner to increase the power density of the motor through the sensitivity analysis on rotor geometry by replacing the rotating part of SRM and adopting the rotor of spoke type brushless DC motor, originating the hybrid motor with the high‐power density and enhanced efficiency. To ensure the winding fault capability, a SRM‐based stator winding is adopted. Then, the modelling process for hybrid motor 48 V, 1500 RPM, 2 kW, and 12.7 Nm are detail in both analytical and finite element methods. The electromagnetic analysis is carried out to estimate the torque characteristics and flux pattern of the proposed motor. Furthermore, the proposed motor is analysed with the selection of laminating core material among M 27 24 Ga, 36F155, 46F165, 47F165, M 420 50D, and arnon 7. This infers 36F155 material assists proposed motor has high‐performance characteristics. The vibration frequencies are investigated in modal aspects to estimate the natural frequencies of vibrations. These analyses are validated among analytical and finite element results under no‐load conditions.
Tower impulse grounding resistance measurement based on multiple frequency impedance
Authors: Dan Yihua , Zhang Ruixuan , Wu Yongye , Li Yiqiao , Wang Xuement , Yang Jian 
Published: June 2023

AbstractTower impulse grounding resistance is important for judging the lightning protection performance of transmission lines. Therefore, it is significant to accurately measure the tower impulse grounding resistance. Existing measurement methods mainly contain the real‐type test method and the impulse coefficient method. However, the real‐type test method requires heavy and complex excitation and measuring equipment, which is difficult to be used in a practical environment. The impulse coefficient method adopts the empirical equations, which could have large measurement errors in different environments. To solve the above problems, this paper studies a novel impulse grounding resistance measurement method (IGRMM) based on multiple frequency impedance. Spectrum characteristics of typical lightning currents and the calculation method of impulse grounding resistance of grounding electrodes are studied, the IGRMM is proposed. Finally, a case study and on‐site tests are carried out. The results show that the proposed IGRMM can accurately obtain the impulse grounding resistance by measuring grounding impedance at a few frequency points, which helps accurate and convenient evaluation of impulse grounding performance in practical environments and lightning protection performance of the power transmission systems.
A direct bonding copper degradation monitoring method for insulated gate bipolar transistor modules: Boundary‐dependent thermal network combined with feedback control
Authors: Zhang Xiaotong , Cheng Zhuolin , Sun Xing , Wu Kangning , Li Jianying 
Published: June 2023

AbstractThe direct bonding copper (DBC) substrates of insulated gate bipolar transistor (IGBT) modules degrade inevitably under cycling thermo‐mechanical stress, causing potential threat to the reliability of IGBT modules. However, little attention has been paid to monitoring their degradation. This paper proposes a DBC degradation monitoring method for IGBT modules, which combines boundary‐dependent thermal network and feedback control. A thermal network is employed to describe the internal material degradation of IGBT modules and can be extracted from a finite‐element method model. The boundary conditions including power losses and DBC degradation are considered, enabling the thermal network suitable for various working conditions and different DBC degradation conditions of IGBT modules. The DBC degradation is characterised by its equivalent thermal conductivities measured in the thermal cycling ageing experiments. On the basis of the boundary‐dependent thermal network, feedback control is applied to monitor DBC degradation by regulating boundary‐dependent thermal impedances. Finally, the proposed model is verified from the effectiveness and accuracy of DBC degradation monitoring and junction temperature calculation. This method casts new light on thermal network modelling and could provide a feasible method for the monitoring of DBC degradation.