bluuebunny/crossref_metadata_2025_split huggingface dataset:
Unique targeted testing of the urogenital microbiome has potential as a predictive test during IVF for implantation outcome.
Authors: Evans Gloria Evelyn , Mahajan Vishakha , Wakeman Sarah , Slatter Tania , Ponnampalam Anna , Anderson Trevor , Sarwar Makhdoom , Evans John 
Published: October 2022

Abstract
The aim of this pilot study was to develop a method characterising the urogenital microbiome as a predictive test in the IVF workup. Using unique custom qPCRs we tested for the presence of specific microbial species from vaginal samples and First Catch Urines from the male. The test panel included a range of potential urogenital pathogens, STIs, ‘favourable’ (Lactobacilli spp.) and ‘unfavourable’ bacteria (anaerobes) reported to influence implantation rates. We tested couples attending Fertility Associates, Christchurch, New Zealand for their first round of IVF and found that some microorganisms affected implantation. The qPCR result was interpreted qualitatively using the Z proportionality test. Samples from women at the time of Embryo Transfer who did not achieve implantation had significantly higher percent of samples that were positive for Prevotella bivia and Staphylococcus aureus compared to women who did achieve implantation. The results provide evidence that most microorganisms chosen for testing had little functional effect on implantation rates. The addition of further microbial targets (yet to be determined) could be combined in this predictive test for vaginal preparedness on the day of Embryo Transfer. This methodology has a substantial advantage of being affordable and easily performed in any routine molecular laboratory. This methodology is most suitable as a foundation on which to develop a timely test of microbiome profiling. Using the indicators detected to have a significant influence, these results can be extrapolated to a rapid antigen test for a woman to self-sample prior to Embryo Transfer as an indicator of likely implantation.
Identification of a Prognostic Model for Breast Cancer Based on Genes Associated with Neutrophil Extracellular Traps
Authors: Chen Boyang , Li Yuexing , Yan Yiping , Guan Liancheng , Chen Yunzhi 
Published: October 2022

Abstract
We know that cancer is rich in neutrophil extracellular traps (NETs) and NETs can promote breast cancer (BC) metastasis, but whether NETs-related genes are associated with the prognosis of BC patients is unclear. As part of this study, we used the TCGA database to obtain 1113 BC samples and 113 normal samples and screened for 102 differentially expressed genes associated with NETs. Following that, we modeled the prognostic risk for six genes (CYBA, RAC2, ITGAL, C3 down-regulated and VDAC1, SLC25A5 up-regulated) using multivariate Cox regression and LASSO regression analyses. In order to determine the risk groups for BC patients, we calculated a risk score and then classified the patients into high and low risk groups based on their median risk value. A significant difference in survival rates was found between high-risk and low-risk BC patients (p < 0.001), according to Kaplan-Meier survival analysis. The same conclusion was obtained for the dataset we obtained in the GEO database. An independent prognostic analysis of the constructed model revealed that the risk score correlated with BC survival independently of other clinical features. And the clinical correlation analysis showed that the change model correlated with the patient's age, gender, the stage of the tumor and the T-stage of the tumor. Furthermore, the risk values of our constructed Nomogram model were less than 0.01 in both univariate and multivariate, correlated with BC prognosis, and were independent of other clinical characteristics. According to the analysis of mutated genes in BC patients, the mutated genes in high and low risk BC patients were PIK3CA, TP53, TTN, CDH1, GATA3, MUC16, KMT2C, MAP3K1, HMCN1, RYR2, FLG, USH2A, SYNE2, ZFHX5 and PTEN. A comparison of immune cell differences between high and low risk groups revealed relatively lower levels of infiltrating immune cells in the high risk group. It is concluded that BC patients' prognosis can be independently predicted by risk profiles derived from the NET-related gene expression.
Effects of maternal pre-pregnancy body mass index and gestational weight gain on antenatal mental disorders in China
Authors: Zhou Xuan , Rao Lin , Yang Dongjian , Wang Tong , Li Hong , Liu Zhiwei 
Published: October 2022

Abstract
Background
Maternal obesity is the most common medical condition in women of reproductive age all over the world. Pre-pregnancy body mass index (BMI) and gestational weight gain (GWG) have been suggested to be associated with risk of maternal mental disorders. Our aim was to investigate the effects of pre-pregnancy BMI and GWG on antenatal depression, stress and anxiety.
Methods
4983 pregnant women were included in the present study based on an ongoing prospective cohort. We used self-reported pre-pregnancy weight and the last weight prior to delivery measured by professional instruments to calculate pre-pregnancy BMI and GWG. Questionnaires including The Center for Epidemiologic Studies Depression Scale (CES-D), Self-Rating Anxiety Scale (SAS) and the 10-item version of Perceived Stress Scale (PSS-10) were administered. We used Pearson product moment correlation and multivariable logistic regression models to examine the impacts of pre-pregnancy BMI and GWG on different maternal mental disorders.
Results
After adjustment for way of conception, annual household income, occupation, education, smoking status and drinking status, excessive weight gain during pregnancy was associated with higher risk of anxiety symptoms in the entire sample (adjusted model: OR = 1.479, 95% CI: 1.128, 1.938), especially in normal BMI women (adjusted model: OR = 1.668, 95% CI: 1.209, 2.302).Whereas the relationship between maternal pre-pregnancy BMI and mental health was not significant.
Conclusions
Excessive GWG might increase the risk of anxiety symptoms in pregnant women, especially those with normal pre-pregnancy BMI, while the effects on depression or stress symptoms have not been observed. The maternal pre-pregnancy BMI might not be independently associated with maternal mental disorders.
Bioinspired, anisotropically highly thermoconductive silicon carbide/epoxy composite based on a nacre-mimetic architecture
Authors: Zhou Xiaonan , Xu Jiaoqian , Wu Mulun , Gao Junjie , Zhang Jianfei , Zhang Qiaogen , Shi Zhongqi , Wang Bo , Xu Chao , Yang Jianfeng 
Published: October 2022

Abstract

Although nature’s wisdom resides in achieving an exceptional functionality, such as anisotropic properties by constructing intelligently hierarchical architectures, the preparation of bulk biomimetic materials under environmental factors is still a great challenge. Inspired from the transport behavior of ions and water through the directionally aligned channels in trees, we demonstrate a facile, scalable approach to construct an anisotropic 3D biomorphic silicon carbide (bio-SiC) framework in epoxy resin (EP) matrices. The 3D bio-SiC framework has not only the highly dense elongated microchannels in the axial direction, which serves as a phonon “expressway” to facilitate thermal conduction of the whole composites, but also the robust latticed structure in the radial direction restricting the molecular chain motion. Consequently, the novel epoxy composite (bio-SiC/EP) with a nacre-mimetic architecture has a high thermal conductivity (TC) of 10.40 W m− 1 K− 1, an outstanding TC enhancement efficiency of 253 per 1 vol% filler at ~ 22 vol% bio-SiC loading, together with an extremely low coefficient of linear thermal expansion (CLTE) of 12.44 ppm K− 1 (~ 17 vol%), an excellent thermal stability, a remarkable anti-flaming performance, and a high flexural strength of 184 MPa (~ 17 vol%). Our finding gives a promising insight to achieve anisotropically highly thermoconductive polymer-based thermal management materials.
GWO-EFUCA: Grey Wolf Optimisation and Fuzzy Logic based Unequal Clustering and Routing protocol for sustainable WSN-based Internet of Things
Authors: Mehra Pawan Singh , Jain Khushboo , Chawla Diksha , Dagur Arvind , Singh Samayveer , Sharma Jatin 
Published: October 2022

Abstract
With the ever-growing application of Wireless Sensor Networks (WSN)-based Internet of Things (IoT), it has gained enormous attention in the public and research domains. The energy constraint of WSN limits its applicability. In the paper, we have proposed a hybrid of Grey Wolf Optimisation along with Fuzzy Logic (FL) for energy-efficient Cluster Head (CH) selection, cluster formation, and cost-effective routing which improves Quality of Service (QoS) that can enhance the applicability of WSN in the diverse domains of IoT. The proposed work is simulated, and performance assessment is done on the basis of QoS metrics namely FND, HND, throughput, average energy, average node load and latency. The obtained results exhibit significant enhancement in the network lifetime with an enhanced stability period, higher throughput, reduced latency, and lessen traffic load and load-balanced network towards its comparative making it suitable for wide applicability in WSN based IoT.
Study the Effect of Cannabidiol Topical on Antinociceptive and Anti-inflammatory Activities in Animal Model
Authors: Bunman Sitthiphon , Muengtaweepongsa Sombat , Piyayotai Dilok , Charlermroj Ratthaphol , Phuengwas Sudtida , Makornwattana Manlika , Kanjana Korawit , Kim Sanghyun 
Published: October 2022

Abstract
Introduction: Cannabidiol (CBD) is a non-psychoactive compound of cannabis. Due to the therapeutic potential of CBD, there were given drugs through oral administration to treat pain and anti-inflammatory. The bioavailability of CBD has been reported to be poor when given through oral administration because of the high first-pass effect with cytochrome P450. Transdermal delivery systems of CBD may increase bioavailability and decrease first-pass metabolism with cytochrome P450. This study aimed to evaluate the antinociceptive and anti-inflammatory activities of CBD cream in an animal model. Formalin test and Antinociceptive activity.
Materials and Methods: We examined the antinociceptive and anti-inflammatory of CBD cream in an animal model. Formalin and writhing tests were used for the antinociceptive activity, and Acute inflammatory was used carrageenan-induced edema test.
Result: In this study, we tested the efficacy of CBD topical for antinociceptive and anti-inflammatory in an animal model. For the formalin test, in the early phase, AUC values in all treatments were significantly decreased when compared with placebo cream (P<0.0001, P<0.0001, P<0.0001, respectively), which were the same results in the late phase. Moreover, mice treated with CBD and CBD+levomenthol group showed less pain than with diclofenac usage. For the acetic induce writhing response test, The results have demonstrated that diclofenac, CBD, and CBD+levomenthol cream showed an ability to reduce writhes compared with a placebo group. Carrageenan-induced edema, The 1% CBD cream could significantly decrease paw volume from 1 to 4 h compared to the placebo group. Overall, 1% CBD cream treatment may have a high efficacy in decreasing paw volume from 1 to 4 h.
Conclusion: The study demonstrated that 1% CBD cream has potential effects for analgesia and anti-inflammation. Even though the mechanism of the therapeutic effect of a new formulation of CBD has not been completely understood, the topical of 1%CBD cream may also be a good candidate for treatment for analgesic and anti-inflammatory conditions.
The relationship between Islamic marketing and competitive advantage: an empirical study on Jordanian banks
Authors: Ismaeel Bader M , Alzubi Mohammad , Alsariera Wael 
Published: October 2022

Abstract
This paper aimed to investigate the relationship between the marketing mix from an Islamic perspective and competitive advantage in Jordanian banks. The study also attempts to determine the role of demographic variables (gender, qualifications, experience, and career level) on the relationship between marketing mix and competitive advantage. The population of the study consisted of 13 banks in Jordan; three banks are categorized as Islamic banks that follow the rules of Islamic Shariah, and ten of them are categorized as commercial banks. The researcher distributed 80 questionnaires; 56 questionnaires were retrieved with a percentage of 70%. The researcher found that banks use the marketing mix to a high degree by providing services and products that express the customer's needs in accordance with the requirements of Islamic Sharia. The study also showed that a small group of banks avoid providing products and services to customers that are not Shariah-compliant. Moreover, most banks are catering to the needs of consumers, regardless of their awareness of the product from an Islamic point of view. The results also showed that a simple category of Jordanian banks set a reasonable and easy profit rate in line with the current and fair custom between the seller and the buyer under the so-called simple profit compatible with the perspective of Islamic Sharia. In addition to providing an attractive and clear pricing system for customers in line with Islamic Sharia regulations.
Target region preserving smoothing for selective image segmentation
Authors: Zhao Wenxiu , Li Xiaofang , Yang Chunyu , Huo Leigang 
Published: October 2022

Abstract
Selective image segmentation is an important and challenging task, which aims to segment a subset of target objects or regions of interests in an image. In this paper, we propose a two-stage selective segmentation method. In the first stage, we propose a new smoothing model, which aims to reduce the influence of noise or cluttered background on segmentation. The model consists of a regular term and a fidelity term. First, we define a plug-and-play regular term by incorporating the trained fractional optimal control network. Then we introduce the fidelity term a weight dependent on the distance function of a set of marker points in the target region. In addition, the proposed model has a closed-form solution, which is easy to implement. In the second stage, the smooth image obtained in the first stage is divided into background region and target region with a simple threshold value. Extensive experiments show that our smoothing model can greatly facilitate the second phase, and our method performs better than some existing related methods in terms of either visual assessment or quantitative evaluation.
Acquisition time reduction in pediatric 99mTc-DMSA planar imaging using deep learning
Authors: Ichikawa Shota , Sugimori Hiroyuki , Ichijiri Koki , Yoshimura Takaaki , Nagaki Akio 
Published: October 2022

Abstract
Background: Given the potential risk of motion artifacts, acquisition time reduction is desirable in pediatric 99mTc-dimercaptosuccinic acid (DMSA) scintigraphy. The purpose of this study was to assess the performance of predicted full-acquisition-time images from short-acquisition-time pediatric 99mTc-DMSA planar images with only 1/5th acquisition time using deep learning in terms of image quality and quantitative renal uptake measurement accuracy.
Methods: One hundred fifty-five cases, who underwent pediatric 99mTc-DMSA planar imaging as dynamic data for 10 min, were retrospectively collected for the development of three deep learning models (DnCNN, Win5RB, and ResUnet), and generation of full-time images from short-time images. We used the normalized mean squared error (NMSE), peak signal-to-noise ratio (PSNR), and structural similarity index metrics (SSIM) to evaluate the accuracy of the predicted full-time images. Furthermore, renal uptake of 99mTc-DMSA was calculated, and the difference in renal uptake with respect to the reference full-time images was assessed using scatter plots with Pearson correlation and Bland–Altman plots.
Results: The predicted full-time images from the deep learning models exhibited notable enhancement in image quality compared to short-time images with respect to the reference full-time images. In particular, the predicted full-time images obtained by ResUnet showed the lowest NMSE (0.4 [0.4−0.5] %) and the highest PSNR (55.4 [54.7−56.1] dB) and SSIM (0.997 [0.995−0.997]). As for renal uptake, an extremely high correlation was achieved in all short-time and three predicted full-time images (R2 > 0.999 for all). The Bland–Altman plots showed the lowest bias (−0.10) of renal uptake in ResUnet, while short-time images showed the smallest variance (95% confidence interval: 0.45, −0.14) of renal uptake.
Conclusions: Our proposed method is capable of generating images that are comparable to the original full-acquisition-time images, which enables the acquisition time/injected dose reduction in pediatric 99mTc-DMSA planar imaging.
Integrability and exact solutions for a nonlocal matrix nonlinear Schrödinger equation with self-induced $\mathcal{PT}$-symmetric potentials
Authors: Zhou Tong , Zhao Hai-qiong 
Published: October 2022

Abstract
A nonlocal matrix nonlinear Schrödinger equation with the self-induced parity-time $\mathcal{PT}$-symmetric potentials and its Darboux transformation have been studied. We obtain several types of solutions as taking different spectral parameter and seeds, include localized soliton solutions, dark-antidark soliton solutions, exact solutions which describe the onset and nonlinear development of the modulational instability of continuous wave states, parallel traveling wave solution, and rogue wave solutions. Besides, the Infinite conservation laws have been derived.
Potentially modifiable risk factors of acute kidney injury after emergency abdominal surgery
Authors: Jung Ji-Yoon , Cho Hyeyeon , Yoon Hyun-Kyu , Yang Seong-Mi , Lee Ho-Jin , Kim Won Ho 
Published: October 2022

Abstract
Emergency abdominal surgery has high rates of mortality and morbidity. However, perioperative strategies to mitigate adverse outcomes are not well established yet. Given the frequent comorbidities and pathophysiology of these patients, the incidence of acute kidney injury (AKI) could be high. Therefore, we aimed to investigate the incidence and prognosis of AKI and potentially modifiable risk factors of AKI after emergency abdominal surgery. We retrospectively reviewed consecutive patients who underwent emergency open abdominal surgery at a single tertiary care university hospital. The overall incidence of AKI was 20.3% (n = 96). Postoperative AKI is significantly associated with clinical outcomes including admission to ICU, length of hospital and ICU stay, and in-hospital mortality. Multivariable logistic regression analysis for postoperative AKI revealed that age, body-mass index and ASA classification class 3 or 4 versus 2 were significant predictors. Furthermore, intraoperative vasopressin infusion (odds ratio 4.06, 95% confidence interval [CI] 1.19–13.9), preoperative platelet count (odds ratio 0.72, 95% CI 0.57–0.90, p = 0.003) and maximal serum lactate level (and odds ratio 1.14, 95% CI 1.04–1.26, p = 0.006) were identified as potentially modifiable risk factors. Further prospective clinical trials are required to investigate whether modification of these risk factors could mitigate the risk of AKI.
Long- COVID and General Health Status in Hospitalized COVID-19 Survivors: A Prospective Cohort Study
Authors: Mohtasham-Amiri Zahra , Keihanian Fatemeh , Homaei-Rad Enayatollah , Shakib Reza Jafari , –Eramsadati Leila Kouchakinejad , Kanafi-Vahed Leila , Rezvani Seyed Mahmoud , Nikkar Rastin 
Published: October 2022

Abstract
Background: Despite advances in clinical research, the long-term effects of COVID-19 on patients are not clear. Many studies revealed persistent long-term signs and symptoms after recovery that continue for more than months after infection with SARS-CoV-2 and are not explained by an alternative diagnosis.
Methods: In a prospective cohort study,259 hospitalized patients between 18 to 59 years, who were diagnosed with COVID-19 infection by molecular RT-PCR were interviewed. Demographic characteristics, comorbidities, and complaints were studied by telephone interviews. Any patient-reported symptoms that continued or developed from 4 weeks up to 12 weeks after the onset of the COVID-19 were recorded only if they did not exist prior to infection. The 12-Item General Health Questionnaire was used for screening and assessing mental symptoms and psychosocial well-being. Analyses were done using Excel and STATA SE software v13.1.
Results: The mean age of participants was 43.8 ± 9.9 years, the mean length of hospital stay was 4.4 ± 4 days, and 58.3% were women. About 37% had at least one underlying disease, The most common comorbidities were diabetes mellitus in 38.1%, hypertension in 32%, and hypothyroidism in 13.4%. 92.5 % showed ongoing symptoms that the most prevalent complications were hair loss (61.4%), fatigue (54.1%), shortness of breath (40.2%), altered smell (34.4%), aggression (34.4%), memory impairment (29 %), and depression (25.1%), respectively. The mean total score based on GHQ-12 was 1.53 ± 2.66 in the range of 0 and 12. In terms of factors affecting patients' complaints, there were significant differences between gender and underlying disease (ρ <0.0001 and ρ = 0.005, respectively).
Conclusion: This study shows a high rate of long COVID conditions in patients which should be considered by physicians, policymakers, and managers.
Influence of sports activity, thoracolumbar fascia morphology and myofascial release treatment on lumbar microcirculation: a randomized, placebo-controlled trial
Authors: Brandl Andreas , Egner Christoph , Reer Rüdiger , Schmidt Tobias , Schleip Robert 
Published: October 2022

Abstract
Inflammatory processes in the thoracolumbar fascia lead to thickening, compaction, and fibrosis and are thought to contribute to the development of nonspecific low back pain (nLBP). The blood circulation of fascial tissue may play a critical role in this process, as it may promote hypoxia-induced inflammation. This study examined the influence of thoracolumbar fascia morphology (TLFM), sports activity (SA), body mass index (BMI), pain, and a set of myofascial release (MFR) techniques on blood flow data (BFD) of lumbar myofascial tissue. This study was a single-blind, randomized, placebo-controlled trial. Thirty pain-free subjects (40.5 ± 14.1 years) were randomly assigned to two groups treated with MFR or a placebo intervention. Correlations between pain, SA, BMI, and TLFM were calculated at baseline. The effects of TFLM and MFR on BFD were determined. There were strong correlations between pain (r = -0.648), SA (d = 0.681), BMI (r = -0.798), and TLFM. Blood flow was significantly different between disorganized and organized TLFM (p < 0.0001). The MFR group had a significant increase in blood flow after treatment (31.6%) and at follow-up (48.7%) compared with the placebo group. Circulatory restrictions caused by disorganized TFLM could lead to hypoxia-induced inflammation, which likely results in pain and impaired proprioceptive function and contributes to the development of nLBP. The deformation and altered morphology associated with dysfunction of blood vessels and free nerve endings could be positively affected by the intervention in this study.
Adiabatic light propagation in nonlinear waveguide couplers via resonance-locked inverse engineering
Authors: Dou Fu-quan , Wei Ya-Ting , Yan Zhi-Ming 
Published: October 2022

Abstract
We investigate the adiabatic evolution of light in nonlinear waveguide couplers via resonance-locked inverse engineering based on stimulated Raman adiabatic passage (STIRAP). The longitudinal varying propagation coefficients of the waveguides are designed to eliminate dynamically the nonlinear effect, which induce the non-adiabatic oscillations. We show that different light evolutions such as complete light transfer, light split and light return can be realized adiabatically with appropriate choices of the detunings even in the nonlinear regime. The features open new opportunities for the realization of all-optical nonlinear devices with high fidelity in integrated optics.