bluuebunny/crossref_metadata_2025_split huggingface dataset:
Correlation analysis between sleep quality and dyslipidemia in the elderly
Authors: Mu Haosheng , Xue Zhilin , Fu Xiaomin , Li Hai , Li Ting , Wang Jinyao , Zijun Meng 
Published: February 2023

Abstract

Background: To provide a scientific basis for the early prevention of dyslipidemia, we investigate the relationship between sleep quality and dyslipidemia in the elderly.
Methods: The survey subjects for questionnaires, physical measurements, and laboratory tests were permanent residents aged 65 years and older in a community who participated in physical examination at the Public Health Management Center of Zuoyun County Medical Group in Shanxi Province from August 2020 to September 2020. Questionnaires were used to collect the demographic characteristics and sleep status of the survey subjects to measure height, weight, and blood pressure; to collect fasting venous blood; and to determine total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), triglycerides (TG), and low-density lipoprotein cholesterol (LDL-C). The association between sleep quality and dyslipidemia was determined by binary logistic regression models. Age, gender, current smoking, current drinking, obesity, and hypertension were adjusted as confounders. Odds-ratio (OR) with corresponding 95% confidence intervals (CI) were reported as effect measurements.
Results: In 292 study subjects aged 65–92 (71.8 ± 5.1) years, the proportion of sleep disorders in the elderly was 40.4%, and the detection rate of dyslipidemia was 45.9%. The prevalence rates of abnormal TC, abnormal TG, and dyslipidemia were 27.1%, 28.0%, and 53.4%, respectively, in those with sleep disorders, which were significantly higher than those in those without sleep disorders (13.2%, 17.2%, and 40.8%, respectively). After further adjustment for age, gender, smoking, drinking, hypertension, and obesity, the aforementioned phenomena persisted, and having sleep disorders was a risk factor for abnormal TC [OR (95% CI) = 2.204 (1.160–4.190)], abnormal TG [OR (95% CI) = 1.904 (1.025–3.535)], and dyslipidemia [OR (95% CI = 1.741 (1.046–2.898)] (P < 0.05).
Conclusions: Sleep quality in the elderly is strongly associated with the prevalence of abnormal TC, abnormal TG, and dyslipidemia, and sleep disorders may increase the risk of developing dyslipidemia.
Enabling high quality dielectric passivation on Monolayer WS2 using a sacrificial Graphene Oxide template
Authors: Wyndaele Pieter-Jan , de Marneffe Jean-Francois , Sergeant Stefanie , Rosa César Lockhart de la , Brems Steven , Caro Arantxa , De Gendt Stefan 
Published: February 2023

Abstract
Two-dimensional transition metal dichalcogenides (2D TMDC’s) hold a wide variety of applications, among which microelectronic devices. However, various challenges hinder their integration e.g., good dielectric deposition on the 2D TMDC surface. In this work, a sacrificial, Graphene oxide (GrO)-based buffer layer is used to 1) serve as a passivation layer, protecting the underlying 2D TMDC (WS2) and 2) act as a nucleation layer, enabling uniform dielectric (HfO2) growth. A Graphene layer is transferred on monolayer WS2, after which polymeric transfer residues are cleaned via a combination of wet- and dry treatments. Next, the cleaned Graphene is functionalized via a dry UV/O3 oxidative exposure. It is shown that the Graphene UV/O3 oxidation rate is substrate dependent and proceeds slower when Graphene is transferred on WS2 compared to SiO2, due to UV-light induced, ultrafast charge transfer between the Graphene and WS2 monolayer. The carbon-oxygen groups formed on Graphene’s basal plane act as nucleation sites in a subsequent HfO2 atomic layer deposition process, achieving a smoother dielectric layer in comparison to direct deposition on bare WS2. Finally, by means of a GrO FET device, it is shown that the GrO nucleation layer does not compromise the device transport characteristics i.e., will not give rise to significant leakage currents in a 2D heterostack device.
Environmental stress insults in 2HIT model synergistically produce disorder-associated microglia and macrophages in the cerebellum
Authors: Yamawaki Yuki , Parvez Md Sorwer Alam , Wada Yayoi , Oe Souichi , Hirahara Yukie , Koike Taro , Hikosaka Momoka , Kumagai Asuka , Matsui Sae , Sakurai Takeshi , Kitada Masaaki , Narumiya Shuh , Ohtsuki Gen 
Published: February 2023

Abstract

A pivotal role of microglia is the maintenance of brain homeostasis, but the function is severely altered in the brains with psychiatric disorders such as schizophrenia spectrum disorders. Previous pathological and physiological findings indicate a localized deficit in the cerebellum of the patients. However, it is unknown if the accumulation of inflammatory stress alters microglia morphology, localization, molecular expression pattern, and phenotype. Here, using translational mouse models that exploit known risk factors for mental disorders: maternal infection and repeated social defeat stress, we investigated the brain immune environment of psychiatric disorder models with multiple immune stress. The synergy of maternal immune activation and repeated defeat stress on mice brought forth reactive microglia specifically in the cerebellum. The increase in the reactive microglia in 2HIT correlated with cerebellar Purkinje neuron loss. Highly-multiplexed imaging mass cytometry with originally-customized 26 markers demonstrated a TREM2-positive immune-cell population of disease-associated microglia/macrophages (DAMIMCs) being close at near-vasculature. Single-cell proteomic clustering indicates sIL-6R- and TGFBR2-signaling with cell transition from progenitor cells to mature DAMIMCs, which implies synergistic disruption of neurophysiological properties and functioning in the 2HIT cerebellum. Our study identifies the distinct immune cells in the cerebellum, which may influence cognition and behavior.
Reconfigurable, non-volatile neuromorphic photovoltaics
Authors: Li Tangxin , Miao Jinshui , Fu Xiao , Song Bo , Cai Bin , Zhou Xiaohao , Zhou Peng , Wang Xinran , Jariwala Deep , Hu Weida 
Published: February 2023

Abstract
Reconfigurable image sensors for the recognition and understanding of real-world objects are now becoming an essential part of machine vision technology. The neural network image sensor — which mimics neurobiological functions of the human retina —has recently been demonstrated to simultaneously sense and process optical images. However, highly tunable responsivity concurrently with non-volatile storage of image data in the neural network would allow a transformative leap in compactness and function of these artificial neural networks (ANNs) that truly function like a human retina. Here, we demonstrate a reconfigurable and non-volatile neuromorphic device based on two-dimensional (2D) semiconducting metal sulfides (MoS2 and WS2) that is concurrently a photovoltaic detector. The device is based on a metal/semiconductor/metal (M/S/M) two-terminal structure with pulse-tunable sulfur vacancies at the M/S junctions. By modulating sulfur vacancy concentrations, the polarities of short-circuit photocurrent —can be changed with multiple stable magnitudes. Device characterizations and modeling reveal that the bias-induced motion of sulfur vacancies leads to highly reconfigurable responsivities by dynamically modulating the Schottky barriers. A convolutional neuromorphic network (CNN) is finally designed for image process and object detection using the same device. The results demonstrated the two-terminal reconfigurable and non-volatile photodetectors can be used for future optoelectronics devices based on coupled Ionic-optical-electronic effects for Neuromorphic computing.
Clinical follow-up at half a year after transcatheter tricuspid valve
Authors: Zhao Xu , Xue Jiao , Rao Guosheng , Zhong Yue , Li Chuntian , Zhou Manhong , Liu Guiqing , Wang Feng 
Published: February 2023

Abstract
Approximately 80% of significant tricuspid valve regurgitation cases are secondary as a result of left ventricular dysfunction or serious mitral valve disease, which causes pulmonary hypertension, and right ventricular dysfunction[1]. In South Asia, most cardiac surgeons usually take a conservative treatment for secondary tricuspid valve disease or had a secondary thoracotomy operation. These reasons for choose conservative treatment or secondary thoracotomy operation of the secondary tricuspid valve disease are: 1. Most doctors considered that the progression of aggravation of tricuspid valve disease was comparatively slow, so the long-term benefit of the surgical therapy of tricuspid valve lesions was underestimated. 2. It is commonly believed that the secondary tricuspid insufficiency can be gradually remitted after left heart valve surgery. 3. Most cardiac surgeons choose secondary thoracotomy operation because it is more effective in solving secondary tricuspid valve and has better long-term benefits for patients, but the surgical trauma of secondary thoracotomy operation should also be considered. In the case, we hoped to provide some new ideas for surgical plan and postoperative review of secondary tricuspid valve disease.
A comprehensive model for predicting the defense system development of the most important plant: a novel approach to assess the physiological indices
Authors: Afzali Sayed Fakhreddin , Sadeghi Hossein , Taban Azin 
Published: February 2023

Abstract
Caper is a multi-purpose halophytic plant growing in semi-arid or arid environment. The present study aims to evaluate the effect of different salt ratios of CaCl2 to NaCl on antioxidant defense system, photosynthesis pigments and morphophysiological parameters of caper under drought stress. Predictive regression modeling, principal component analysis (PCA), Pearson's correlation and path analysis were implanted to explore the possible relationships among inter correlated variables and understanding the possible mechanisms. Based on the PCA results, caper had a highest shoot and leaves growth, content of pigments, proline and antioxidant enzymes (peroxidase, superoxide dismutase, catalase, and ascorbate peroxidase) activity and the lower leaf tissue density at the salt ratio of 1:3 (CaCl2:NaCl) under 75% FC. Predictive equation models with high significant R2 were developed for the estimation of antioxidant enzymes activity and proline content (>0.94) as well as pigments (>0.58) were developed. Path analysis studies indicated that proline is the most important regressor (significant positive effect) in four antioxidant enzymes activities while in the case of chlorophylls, leaf tissue density was the most effective variable (significant negative). It was found that caper has a better performance under moderate to high NaCl-salt stress and mild droght stress. Moreover, the network of inter correlated variables revealed that there is a close relationship between antioxidant defense system, pigments and morpholoigical parameters of caper under stress condition. The results of this study would be a useful guide for caper producers as well as plant ecophysiological researchers.
Comparison of Bone Loss and Associated Risk Factors in Men with Spinal Cord Injury and Community-dwelling Adults
Authors: Kim Onyoo , Hong Namki , Han So Ra , Shin Sungjae 
Published: February 2023

Abstract
Study Design: retrospective chart audit
Objectives: In individuals with spinal cord injury (SCI), bone loss proceeds rapidly to the area below the level of injury, leading to increased risk of fracture. However, there are limited data on the degree of bone loss in individuals with SCI and associated factors in comparison with community-dwelling adults.
Settings: rehabilitation center in Seoul, Republic of Korea; community in Republic of Korea
Methods: Data from men with SCI who underwent Dual-energy X-ray Absorptiometry at the National Rehabilitation Center (2008 to 2020) between 12 and 36 months after injury were analyzed. Data from community-dwelling men in the Korea National Health and Nutrition Examination Survey (KNHANES, 2008–2011) were 1:1 matched for age, height, and weight as the control group.
Results: Among 226 men (SCI, n = 113; control, n = 113), femoral neck (-1.9 versus [vs.] -0.6) and total hip T-scores (-1.6 vs. -0.1; all, p <0.001) were significantly lower in the SCI group than in the KNHANES group, whereas the lumbar spine T-score did not differ between groups (-1.1 vs. -0.8, p = 0.105). The group difference in the femoral neck T-score remained significant after adjustment for covariates (adjusted β: -1.27, vs. KNHANES, p<0.001). Among men with SCI, low body mass index and cervical level of injury (vs. thoracolumbar level) were negatively correlated with femoral neck bone mineral density.
Conclusions: Men with SCI had lower femoral neck and total hip T-score than community-dwelling men, independent of age, BMI, and other covariates.
Deep Subwavelength Broadband Sound Absorption by a Buckled Plate Resonator
Authors: Han Erjing , Xing Tuo , Li Xianhui 
Published: February 2023

Abstract
The absorption performance and the sample thickness need to satisfy the causal relation, and the sound absorption bandwidth of a thin layer structure is often very narrow to achieve high sound absorption at low frequency. In this paper, a buckled plate resonator is proposed to achieve the low frequency broadband sound absorption in the deep subwavelength range. The resonator consists of an air-tight back cavity sealed by an elastic circular thin plate. A uniform in-plane compressive force is applied on the thin plate to make the plate buckling produce negative stiffness, and the resonator operates in the pre-buckling state. By adjusting the structural stiffness, the buckled plate resonator achieves the purpose of adjusting Beff and B0, which weakens the causal principle requirement of minimum acoustic structure thickness and realizes broadband low-frequency sound absorption. The final experimental results show that one 3mm(λ/220) back cavity, 0.89 sound absorption is achieved at 515Hz, and the corresponding relative sound absorption bandwidth is 19.4%. From the causal relation, the calculated minimum sample thickness is 6.7mm for the observed absorption spectrum. Compared with traditional plate-type acoustic metamaterials, which achieve low-frequency sound absorption by increasing the mass, the absorption bandwidth is too narrow due to the influence of the quality factor Qm, our work provides a design paradigm for the low frequency broadband acoustic absorbers.
Developing a signature based on necroptosis-related lncRNAs to predict the prognosis and immunotherapy response of hepatocellular carcinoma
Authors: Liu Yao , Fu Lei , Qu Genyi , Peng Shifang 
Published: February 2023

Abstract
Background
Hepatocellular carcinoma (HCC) ranks third among the diseases that cause death related to tumors worldwide. Here, we attempted to establish a necroptosis-related long non-coding RNAs (nrlncRNA) risk coefficient model to predict survival and systemic pharmacological treatment response in HCC patients.
Methods
The Cancer Genome Atlas (TCGA) provides information regarding the transcriptome and clinical aspects of HCC specimens. Then, nrlncRNAs were screened by Pearson correlation coefficients > 0.5 and p < 0.001, and differentially expressed nrlncRNAs (DEnrlncRNA) pairs were recognized by univariate analysis. In addition, we used the Least Absolute Shrinkage and Selector Operation (LASSO) regression analysis to construct the DEnrlncRNA pairs risk model. Subsequently, the Kaplan-Meier test and receiver operating characteristic (ROC) curves were used to assess the model's ability to predict prognosis. Per the optimal cut-off value of the ROC curves, HCC patients were classified into high-risk and low-risk groups. Finally, we compared the differences in prognosis, clinicopathological information, immune cell infiltration, the half inhibitory concentration (IC50) of chemotherapeutic drug, and immune checkpoint expression between the two subgroups.
Results
We identified 199 DEnrlncRNA pairs, and 16 of them were screened for building the risk model. It showed higher prognostic predictive power than traditional clinicopathological factors. Moreover, the risk model indicated that HCC patients between subgroups showed significant variations in the immune microenvironment, expression of multiple immune checkpoints, and response to different chemotherapeutics.
Conclusion
The model conducted by DEnrlncRNA pairs can accurately predict prognosis, providing a reference for clinical selection of immune checkpoint inhibitors (ICIs) and chemotherapeutic drugs for HCC patients.
Causal relationships between ischemic stroke and epilepsy: a Mendelian randomization study
Authors: Chen Shi Hao , Huang Wenting , Jin Xing , He Tao , Zhang Mulan , Xu Huiqin 
Published: February 2023

Abstract
Background
Epidemiological evidence suggests that ischemic stroke may increase the risk of epilepsy. However, the causal relationship between these two conditions is currently inconclusive. We aimed to elucidate the possible causal relationship between ischemic stroke and related subtypes of epilepsy by a two-sample Mendelian randomization (MR) analysis.
Methods
We extracted 11 single nucleotide polymorphisms (SNPs) significantly associated with ischemic stroke from a large genomic association study (GWAS) of European individuals (440328 individuals) as instrumental variables and used the GWAS of epilepsy-related subtypes provided by the International League Against Epilepsy as an outcome data source. Inverse variance weighting (IVW) was used as the primary method to assess effect estimates. Sensitivity analysis was performed using weighted median, MR-Egger and MR-PRESSO to assess heterogeneity and pleiotropy.
Results
In the IVW random-effects model, 11 SNPs were used as instrumental variables, and a significant causal relationship was found between genetic susceptibility to ischemic stroke and generalized epilepsy (OR, 1.24; 95% confidence interval (CI), 1.09, 1.42; P = 0.0009). The results of the weighted median and MR-Egger methods were in general agreement. Sensitivity analysis showed no heterogeneity or polymorphism. Reverse MR analysis failed to detect a causal relationship between generalized epilepsy and ischemic stroke. In addition, we found no causal relationship between ischemic stroke and focal epilepsy (OR, 1.06; 95% confidence interval (CI), 0.93, 1.20; P = 0.3957).
Conclusion
There is a causal relationship between ischemic stroke and the occurrence of generalized epilepsy, but not with focal epilepsy.
Parallel Design of SFO Optimization Algorithm Based on FPGA
Authors: Naji Hamid Reza , Shadravan Soodeh , Jafarabadi Hossien Mousa , Momeni Hossien 
Published: February 2023

Abstract

Taking a lot of time to solve optimization problems has become a challenge for metaheuristic algorithms. Due to independence of the metaheuristics components, parallel processing is a good option to reduce the computational time and to find high quality solutions that are close to the optimum with an acceptable cost. One of these metaheuristic algorithms is the Sailfish Optimizer (SFO) which inspired by a group of hunting sailfish. The SFO algorithm uses a simple method to provide a dynamic balance between exploration and exploitation phases, creates a swarm diversity, avoids local optima, and guarantees high convergence speed. It has been shown that the SFO algorithm outperforms various state-of-art metaheuristic algorithms for multimodal and high dimensional benchmark functions and complicated real-world optimization problems in terms of accuracy and speed by CPU and GPU implementation. In this paper, to speedup this algorithm and increase its performance we propose a reconfigurable hardware version of SFO implemented on Field Programmable Gate Array (FPGA). The FPGA-based SFO can be a very good option in many applications with massive calculations. Due to the inherent parallelism and high computing capabilities of FPGA, the SFO algorithm gain optimum computational time despite the complexity of optimization problems. We have compared the performance of the proposed FPGA-based SFO with its CPU and GPU implementation and some other metaheuristic algorithms. The results show the FPGA implementation is considerably faster than the CPU and GPU implementation. Also, it outperforms other compared FPGA-based metaheuristic algorithms in terms of execution time and convergence speed.
Performance Enhancement in Clustering Cooperative Spectrum Sensing for Cognitive Radio Network Using Metaheuristic Algorithm
Authors: Srivast Vikas , Singh Parulpreet , Mahajan Shubham , Pandit Amit Kant , Askar S. S. , Abouhawwash Mohamed 
Published: February 2023

Abstract
Spectrum sensing describes, whether the spectrum is occupied or empty. Main objective of cognitive radio network (CRN) is to increase probability of detection (Pd) and reduce probability of error (Pe) for energy consumption. To reduce energy consumption, probability of detection should be increased. In cooperative spectrum sensing (CSS), all secondary users (SU) transmit their data to fusion center (FC) for final measurement according to the status of primary user (PU). Cluster should be used to overcome this problem and improve performance. In the clustering technique, all SUs are grouped into clusters on the basis of their similarity. In cluster technique, SU transfers their data to cluster head (CH) and CH transfers their combined data to FC. This paper proposes the detection performance optimization of CRN with a machine learning-based metaheuristic algorithm using clustering CSS technique. This article presents a hybrid support vector machine (SVM) and Red Deer Algorithm (RDA) algorithm named Hybrid SVM-RDA to identify spectrum gaps. Algorithm proposed in this work outperforms the computational complexity, an issue reported with various conventional cluster techniques. The proposed algorithm increases the probability of detection (up to 99%) and decreases the probability of error (up to 1%) at different parameters.
Normative Dimensions of Portal and Systemic Intraabdominal Veins of Children on CT
Authors: Bayramoglu Zuhal , Ersoy Berke , Ayyildiz Hakan , Cingoz Eda 
Published: February 2023

Abstract
Background: Chronic liver diseases cause portal hypertension resulting in portal vein enlargement. Vascular compression syndromes and the status of hydration of the body are determined by vein diameters.
Objective: It is aimed to provide normative values of the major intraabdominal portal and systemic vein diameters in several age groups of children on contrast-enhanced abdominal computed tomography.
Materials and Methods: 800 pediatric patients (468 male, 332 female) who were referred to the Radiology Department of our institution were enrolled. Age groups included 0-2, 3-5, 5-10, 10-15, and 15-18 years of life. The largest diameter of the major portal vein, right and left portal vein branches, superior mesenteric and splenic veins, right and left renal vein and vena cava inferior were measured. The ratios were also calculated right to left portal vein, right to the left renal vein and portal vein to vena cava inferior for age groups. Descriptive statistics of the data were expressed as means with standard deviation. The percentiles of vein diameters were calculated for all age groups. Differences in mean diameters among ages were compared with the ANOVA test. Differences among gender groups were analysed with independent samples t-test.
Results: No statistically significant difference was found among gender groups (p:0.6). There have been statistically significant differences in mean diameters among consecutive age groups (p:0.001) for splanchnic and renal venous system and also vena cava. There has been a statistically significant positive correlation (p:0.001; r:0.5-0.79) of diameters with ages. There was no statistically significant difference between the mean ratios of vein diameters by age groups.
Conclusions: Intraabdominal major vein diameters were not affected by gender. We provided a diameter range for several age groups. Age would be a reliable parameter to predict the diameters of major veins.