bluuebunny/crossref_metadata_2025_split huggingface dataset:
Correlation of inflammatory biomarkers with cognitive function and glycemic and lipid profiles in patients with type 2 diabetes mellitus: A meta-analysis
Authors: Du Yage , Zhang Qi , Zhang Xiaolan , Song Ying , Zheng Jie , An Yu , Lu Yanhui 
Published: February 2023

Abstract
Background
Type 2 diabetes mellitus (T2DM) is associated with an increased risk of cognitive impairment. Accumulating evidence has demonstrated that inflammation is connected to cognitive function and glycemic and lipid profiles in patients with T2DM. However, a quantitative synthesis of empirical studies on the correlation of inflammatory biomarkers with cognitive function and glycemic and lipid profiles is lacking and the reported data has so far been conflicting. The study aimed to examine and estimate previous inconsistent results on the correlation of inflammatory biomarkers with cognitive function and glycemic and lipid profiles in T2DM quantitatively.
Methods
The databases of PubMed, Web of Science, EMBASE, SCOPUS, CNKI, Wanfang, VIP, and CBM database were searched from inception until September 2022 (PROSPERO protocol CRD42022356889). We included original studies reporting the correlation of inflammatory biomarkers with cognitive function and glycemic and lipid profiles in T2DM patients. The Pearson or Spearman correlation coefficient was collected from each included study, and a meta-analysis was conducted with Comprehensive Meta-Analysis (version 3) software.
Results
Thirty-two studies were included, with a cumulative sample size of 7483 patients. In the correlation between inflammatory biomarkers and cognitive function, the findings revealed a significant moderate negative correlation between interleukin-6 (IL-6), C-reactive protein (CRP), and tumor necrosis factor-α (TNF-α) levels and MoCA (r = -0.540, P = 0.006; r = -0.434, P < 0.001; r = -0.532, P = 0.015, respectively), and TNF-α level had a moderate negative correlation with MMSE (r = -0.491, P = 0.001). In the correlation between inflammatory biomarkers and glycemic and lipid profile, there was a significant moderate positive correlation between serum CRP and TNF-α levels and HbA1c (r = 0.467, P < 0.001; r = 0.521, P < 0.001, respectively). TNF-α level was also found to have a low positive correlation with FBG (r = 0.265, P < 0.001), CRP level was found to have a low positive correlation with TC (r = 0.286, P < 0.001), and IL-6 level was found to be lowly and positively correlated with TG (r = 0.230, P = 0.015).
Conclusions
These findings imply that IL-6, CRP, and TNF-α are potential inflammatory biomarkers and modifiable risk factors for T2DM with cognitive impairment, and that these inflammatory markers may be related to alterations in glycemic and lipid levels, including HbA1c, FBG, TC, and TG. Further research and longitudinal studies are required to assess the clinical value of these markers and to investigate potential causal mechanisms underlying this connection.
Chemical Recycling of PET Polyester Textile Wastes Using Ag-Doped ZnO Nanoparticles: An Economical Solution for Circular Economy
Authors: Vinitha Viswanathan , Preeyanghaa Mani , Anbarasu Murugan , Neppolian Bernaurdshaw , Sivamurugan Vajiravelu 
Published: February 2023

Abstract
Polyethylene terephthalate (PET) is a nonbiodegradable and multi-functional plastic commodity that produces a significant amount of polyester (PES) textile waste. The management of PET solid waste is a global concern in many developing countries. Chemical recycling and material recovery from PES wastes can rebuild a circular economy in the textile sectors. The main objective of the present research is to enhance the chemical depolymerization of PES's textile wastes through microwave-induced catalytic aminolysis and glycolysis catalysed by Ag-doped ZnO nanoparticles. Catalysts are synthesised by the sol-gel method and characterised using X-ray diffraction (XRD), Fourier transforms infrared spectroscopy (FTIR), ultraviolet spectroscopy (UV-Vis), field emission scanning microscope (SEM-EDX), and transmission electron microscope (TEM). These parameters included the PET to catalyst ratio, microwave power, time, temperature, and catalyst recycling studies. The catalyst was discovered to be more stable and could be recycled up to six times without losing its activity. Microwave heating is typically faster than conventional heating techniques in terms of reaction time, PET conversion, product yield, and purity. In the aminolysis of PET, the effects of several factors on the conversion of PET and the yield of bis (2-hydroxy ethylene) terephthalamide (BHETA) and the glycolysis process to produce bis (2-hydroxy ethylene) terephthalate (BHET) were examined. The study's findings show that higher temperatures (180 °C) are beneficial for PES textile waste conversion and BHETA yield, which can reach nearly 95% and 94%, respectively. Finally, FT-IR, 1H NMR, and mass spectroscopy (MS) were used to characterise the depolymerized products. The study showed that 2 mol% Ag-doped ZnO showed better catalytic activity.
Fabrication of Photoluminescent Coatings Composed of Boron and Nitrogen Co-doped Carbon Dots on the Cotton Fabric by Layer-by-Layer Self-assembly Method
Authors: Ying Pan , Liang Qianyong , Du Jia , Zhao Huaiwei , Zhang Dong , Zhao Hongting , Lü Ting , Zhang Yan 
Published: February 2023

Abstract
Boron and nitrogen co-doped carbon dots (BN-CDs) were synthesized by one-pot hydrothermal carbonization. Then the as-prepared CDs was combined with alginate and polyethyleneimine to fabricate the multi-layered coating on the cotton fabric by Layer-by-Layer (LbL) self-assembly method. The CDs containing coating emitted visible blue light under 365 nm UV lamp. Subsequently, the UV protection property, thermal stability, flame retardancy and wash durability of the CDs treated cotton fabric were investigated. The ultraviolet protection factors of pure cotton fabric and cotton fabric treated with 12 bilayers CDs consisting coating were 6.48 and 64.10, respectively, which indicated that the synthesized CDs was an efficient UV absorber. In TGA test, more char residues at 700°C were observed for CDs consisting coatings treated cotton fabrics under nitrogen atmosphere. After B, N co-doped CDs were enriched in the PEI/alginate multi-layered coating, the PHRR of cotton-CDs-12BL were reduced 15% and TPHRR of cotton-CDs-12BL were improved 26.4°C in microscale combustion calorimeter test. This result indicated that B, N co-doped CDs presented potential application as a flame retardant on surface of cotton fiber.
Mobile Phone Dependency and Sleep Quality in College Students during COVID-19 Outbreak: The Mediating Role of Bedtime Procrastination and Fear of Missing Out
Authors: Huang Tao , Liu Yiting , Tan Teck Cheng , Wang Dong , Zheng Kefeng , Liu Wenxi 
Published: February 2023

Abstract
Objective
The purpose of the study was to examine the associations between mobile phone dependency and sleep quality among college students during COVID-19 outbreak. The potential mediation roles of bedtime procrastination and fear of missing out (FoMO) were investigated.
Methods
A total of 881 college students completed an online survey in May 2022 in Shanghai, China. Mobile Phone Involvement Questionnaire, Bedtime Procrastination Scale, Bedtime Procrastination Scale and Pittsburgh Sleep Quality Index were used to assess mobile phone dependency, bedtime procrastination, fear of missing out, and sleep quality, respectively. Multiple linear regression and mediation analysis were conducted.
Results
The correlation analyses indicated mobile phone dependency was positively associated with fear of missing out, bedtime procrastination, and sleep quality among college students. The structural equation modeling analyses revealed that mobile phone dependency had significant indirect effects on sleep quality through bedtime procrastination (indirect effect: 0.030, 95%CI: 0.022–0.041) and fear of missing out (indirect effect: 0.013, 95%CI: 0.003–0.023).
Conclusion
The findings indicated that bedtime procrastination and fear of missing out partially mediated on the association between mobile phone dependency and sleep quality. Bedtime procrastination and fear of missing out should be considered as potential intervention targets for reducing mobile phone dependency and improving sleep quality in college students.
The impact of the relations between the explosive power of the lower limbs measured by a force-velocity test versus field tests (horizontal jump, speed test and agility test) in young North African volleyball players.
Authors: AYED Karim BEN , HAMMAMI Mohamed Ali , LATIRI Imed , SAAD Helmi BEN 
Published: February 2023

Abstract

Background:In youth volleyball players, no previous study has investigated the relationships between the components of the force-velocity test (FVt) and those of the horizontal jump approach, speed test, and agility test. We aimed to determine the relationships that exist between lower-body power measured via a laboratory test (ie; FVt) and some field tests [horizontal jump (ie; 5-jump test, speed test (ie; 20-m sprint) and agility test (ie; pro-agility shuttle)] in youth volleyball players.Methods:Thirty-one youth volleyball players were investigated for changing of direction (pro-agility shuttle), 5-jump test, and absolute/relative peak leg power (Ppeak) during the FVt. Speeds (s) during a 20-m sprint were measured at 5, 10, and 20 m (T5, T10and T20, respectively). 5-jump test performance was expressed in absolute terms (5JTA, m), and relative to leg length (5JTLL) and body mass (5JTBM).Results:This study identifiedi)“high” correlations between FVtPpeak(W) and 20-m sprint [T5(r=-0.858), T10(r=-0.707), and T20(r=-0.762)], and pro-agility shuttle (r=-0.745),ii)“good” correlations between FVtPpeak(W.kg) and 5JTA(r=0.531), andiii)“fair” correlations between FVtPpeak(W) and 5JTA(r=0.499),between FVtPpeak(W.kg-0.67) and 5JTA(r=0.489), and 20-m sprint [T5(r=-0.370), T10(r=-0.364)].Conclusions:Tthe pro-agility shuttle, 20-m sprint, and 5JT can be used to evaluate lower limb explosive power in youth volleyball players.
Sustainable high-energy radiation powering selective CO2 reduction to CH3OH over atomic dual-metal-sites embedded metal-organic framework
Authors: Hu Changjiang , Jiang Zhiwen , Wu Qunyan , Cao Shuiyan , Li Qiuhao , Chen Chong , Yuan Li-Yong , Wang Yunlong , Peng Jing , Shi Weiqun , Zhai Maolin , Mostafavi Mehran , Ma Jun 
Published: February 2023

AbstractThe efficient use of renewable high-energy radiation (X/γ-rays or accelerated e‒) as the energy input for the chemical transformation of carbon dioxide (CO2) and water to energy-rich fuels holds new promise for a carbon-neutral, sustainable energy economy; however, such processes are challenging to implement, and require the assistance of catalysts capable of sensitizing the secondary electron scattering and providing active metal sites to bind intermediates. Herein, we report that atomic Cu-Ni dual-metal-sites embedded in a metal-organic framework matrix enable efficient and selective (~ 98%) conversion of CO2to CH3OH in irradiated aqueous solutions. The reaction is initiated by the direct generation of CO2•‒radicals via aqueous electrons attachment, followed by a series of interfacial reactions. We showed that the UiO-66(Hf) matrix serves as a radiation sensitizer to break electron yield limitation in water radiolysis, dramatically promoting CO2activation and conversion efficiency. With the synergistic metal centers and a hydroxyl radical scavenger, we achieved stable and selective CH3OH production over multiple irradiation cycles. Pulse radiolysis experiments with theoretical calculations revealed the transient kinetics occurred on the nanosecond timescale and cascade hydrogenation steps. Our study highlighted an unprecedented catalytic route to produce CH3OH with CO2feedstock and introduced a desirable atomic structure to improve performance.
Cellular immunity reflects the persistent symptoms among COVID-19 recovered patients in Japan
Authors: Miyata Yoshiharu , Suzuki Kohjin , Nagano Tatsuya , Iida Keiji , Hasegawa Takehiro , Uga Hitoshi , Matsuoka Hiroshi 
Published: February 2023

Abstract
Coronavirus disease (COVID-19) often causes persistent symptoms long after infection, referred to as "long COVID" or post-acute COVID-19 syndrome (PACS). This phenomenon has been studied primarily concerning B-cell immunity, while the involvement of T-cell immunity is still unclear. This retrospective study aimed to examine the relationship among the number of symptoms, cytokine levels, and the (Enzyme-linked immunosorbent spot) ELISPOT assay data in patients with COVID-19. To examine inflammatory conditions, plasma interleukin (IL)-6, IL-10, IL-18, chemokine ligand 9 (CXCL9), chemokine ligand 3 (CCL3), and vascular endothelial growth factor (VEGF) levels were analyzed using plasma obtained from COVID-19 recovery patients and healthy controls (HC). These levels were significantly higher in the COVID-19 group than those in the HC group. ELISPOT assays were performed to investigate the correlation between COVID-19 persistent symptoms and T-cell immunity. Cluster analysis of ELISPOT categorized COVID-19 recovery patients in the ELISPOT-high and -low groups, based on the values of S1, S2, and N. The number of persistent symptoms was significantly higher in the ELISPOT-low group than those in the ELISPOT-high group. Thus, T cell immunity is critical for the rapid elimination of COVID-19 persistent symptoms, and its measurement immediately after COVID-19 recovery might predict long-term COVID-19 or PACS.
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: February 2023

Abstract
Early detection of cervical myelopathy (CM) is important for a favorable outcome, as its prognosis is poor if left untreated. We developed a screening method for CM using machine learning to analyze a drawing behavior. A total of 38 patients with CM and 66 healthy volunteers were enrolled. Using a stylus pen, they traced three different shapes displayed on a tablet device. During the exercise, writing behaviors, such as the coordinates, velocity, and pressure of the stylus tip, along with drawing time were recorded. From these data, features related to the drawing pressure and time of 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 wave forms tended to be most accurate, and 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.
Diabetes knowledge and associated factors in adolescents and young adults with type 1 diabetes in Ouagadougou (Burkina Faso)
Authors: Zemba Daniel , Sagna Yempabou , Traore Solo , Zoungrana Lassane , Somé D. Patricia , Kissou S. Aimée , Guira Oumar , Yaméogo Ténin Marceline 
Published: February 2023

Abstract
Background
Type 1 diabetes (T1D) in youth is becoming a public health problem in Sub-Saharan Africa, including Burkina Faso. However, little is known about the level of knowledge of these patients on T1D. This study aimed to evaluate the knowledge of diabetes in adolescents and young adults about the disease, and identify the factors associated in Burkina Faso.
Methods
A cross-sectional survey was conducted from April to June 2020 among youth with T1D, aged 10 to 30 years, and regularly followed in the internal medicine department of Yalgado Ouedraogo University Hospital of Ouagadougou, Burkina Faso. Data was collected using the French AJD validated diabetes knowledge and skills (DKS) questionnaire, which brings together several themes as generalities of diabetes, hypoglycemia and hyperglycemia, the management of insulin treatment, and self-monitoring blood glucose (SMBG). DKS level was determined by calculating the scores, and univariate and multivariate logistic regression were used to explore factors influencing DKS scores.
Results
Sixty-three participants with a mean age of 19.05 years and a sex ratio (W/M) of 1.17 were included in our study. The mean HbA1c level at the last contact was 9.79%, and 43 (68.23%) patients had an insufficient DKS level. About the sections of the DKS questionnaire, the mean score of each theme was respectively 50% for the item “generalities of diabetes”, 32.4% for the item “hypoglycemia and hyperglycemia”, 67.72% for the item “diet”, 37.34% for the item “management of insulin treatment” and 44.97% for the item “SMBG”. In univariate analysis, a better patient score was associated with university education and long duration (> 10 years) of follow-up (p < 0.05). Only age remain associated with a better knowledge score (p < 0.05) in multivariate analysis.
Conclusion
The study identified a significant need to develop relevant therapeutic education program on T1D for youth in Burkina Faso to help them manage the condition hence averting long term complications.
Phaseolus lunatus L.: pulse seeds phenotype image analysis*
Authors: Dantas Saulo de Jesus , Torres Maria Fernanda de Oliveira , MANN RENATA SILVA , Vargas Pablo Forlan 
Published: February 2023

Abstract

Phaseolus lunatus L. is a species with great diversity, which can be explored in breeding programs when adequately characterized. In this work, we evaluated the phenotypic variations of P. lunatus seeds by image analysis using seeds from 13 genotypes from three states: Sergipe (G1, G2, G3, G4, G5, G6, G7, and G8), Bahia (G9 and G10) and Alagoas (G11, G12, and G13). For the analyses, the weight of 100 seeds was estimated, and, in the Groundeye (TBit®), the morphometry by area (mm²), maximum diameter (mm) and minimum diameter (mm), and the descriptors dominant color and RGB color system. The morphometric variables were submitted to variance analysis by the F test, and the means clustered by the Skott-Knott test at 5%. The data were submitted to Pearson correlation analysis (t-Student at 5%), grouped according to dissimilarity by the UPGMA, and represented in the dendrogram. The evaluated characters were submitted to principal component analysis (PCA). Concerning the dominant color, there was a predominance of orange in nine genotypes. As for the RGB color system, G1 presented the highest values and G11 the lowest. G7 was superior for morphometric variables, except for the weight of 100 seeds. There is a positive and significant association for morphometry. There are two homogeneous and distinct groups in the dendrogram, and the first two principal components were responsible for 86.80% of the genotypes' variation. Therefore, applying high-resolution images for phenotypic characteristics of creole bean seeds is a promising nondestructive tool aiming for selection.
Epidemiological Analysis of Yellow Fever Disease in Angola from December 2015 through December 2016
Authors: Manuel Eusebio , Armando António , Francisco Moisés , Paixão Joana , Aramburu Javier , Oliveira Miguel dos Santos , Freitas Helga , Pedro Alda Morais , Jandondo Domingos , Sambo Luis , Carderon Pablo Babrero , Lamezon Sandra Lopez , Fortes Filomeno , Mariscal Jorge , Cardoso Yolanda , Moreira Rosa , Morais Joana , Francisco Ngiambudulu M. 
Published: February 2023

Abstract
Background
In December 2015, an outbreak of yellow fever virus (YFV) infection was reported in Angola, characterized by fever and jaundice, with at least one of the following symptoms: headache, asthenia, conjunctivitis, vomiting, with a different type of haemorrhage.
Methods
A total of 4,618 cases of yellow fever (YF) were referred to the national referral laboratory of the Instituto Nacional de Investigação em Saúde, from December 5, 2015 through December 23, 2016 that were analyzed using ELISA, and subsequently samples were confirmed using consensus primers for RT-PCR assay.
Results
We detected 884 (4%) cases that were positive on ELISA and RT-PCR assays. Patients were reported from 16 provinces of Angola. The incidence was approximately three times as high among male patients (10.88% per 100,000) than among female patients (2.65% per 100,000) in the 20 to 29 age group.
Conclusions
This study represents the transmission of YFV human-to-human via the bite of the infected vector. The re-emergence of YFV is a huge concern for a national public health system. Thus, laboratory and public health surveillance systems have to be strengthened to alleviate the risk of re-emerging human infections.
Bacterial communities associated with corals out-planted on the Great Barrier Reef are inherently dynamic over space and time
Authors: Strudwick Paige , Seymour Justin , Camp Emma , Roper Christine , Edmondson John , Howlett Lorna , Suggett David 
Published: February 2023

Abstract
In light of accelerating pressures faced by coral reef ecosystems, coral propagation and out-planting are becoming vital components of reef stewardship strategies aimed to improve reef resilience through enhanced natural recovery and rehabilitation. The coral microbiome has a crucial role in the success of the coral holobiont and can be impacted shortly after out-planting, yet long-term characterisation of the out-plant microbiome, assessment of related survival and how this varies across sites is unexplored. We examined the bacterial communities associated with out-planted Acropora millepora corals and monitored coral survival over 12 months (February 2021-22) across three reef sites – Mojo, Rayban and Sandbox at Opal Reef (16°12'18"S 145°53'54"E), Great Barrier Reef (GBR) – with contrasting environmental features (e.g. exposure to oceanic currents and previous thermal stress impacts). Bacterial communities of out-planted corals exhibited significant changes from donor colonies 7–45 days after out-planting and bacterial community composition differed significantly across sites Sandbox and Rayban with low overall survival (0–43%) versus Mojo with higher (47–75%) overall survival. We interpret the different rate of change of coral associated bacterial community composition after out-planting, site-specific composition of bacterial communities, and differential survival of out-plants across sites to indicate the importance of site-selection in shaping coral bacterial communities and subsequent out-plant success. This research highlights, the need to resolve drivers of small-scale site differences alongside higher resolution spatiotemporal monitoring of environmental conditions to distinguish key drivers of microbial change during out-planting and subsequently inform out-plant site selection to optimise future management efforts.