bluuebunny/crossref_metadata_2025_split huggingface dataset:
Changes of aqueous humor cytokine profiles of patients with high intraocular pressure after PPV for retinal detachment
Authors: Zhu Chenchen , Cheng Yan , Tang Yi , Wu Hong , liu Zaoxia 
Published: August 2023

Abstract
High ocular pressure is one of the early complications after pars plana vitrectomy (PPV), which may cause glaucoma and poor visual prognosis secondary to surgery. It’s essential for the basic mechanism to analyze the relative humor cytokine profiles and clinical factors with intraocular pressure (IOP) after PPV for retinal detachment (RD). In this study, we have collected the aqueous humor of 16 patients with high IOP after PPV and 16 patients with normal IOP after PPV. We qualified 27 cytokines using Luminex multiplex cytokines analysis and compared biomarkers with high IOP group and normal group. In a result, the concentration of VEGF, IL-6, FGF2, and G-CSF upregulated significantly (P < 0.05), while VEGFR2 downregulated significantly (P < 0.05) in high IOP group. IL-6 was positively correlated with high IOP (r = 0.561, P = 0.041). Meanwhile, the concentration of IL-6 (r = 0.543, P = 0.03), IL-5 (r = 0.576, P = 0.019), IL-15 (r = 0.614, P = 0.011), IL-4 (r = 0.517, P = 0.04), ICAM-1 (r = 0.611, P = 0.012) and G-CSF (r = 0.636, P = 0.008) were significantly associated with preoperative PVR classification, and the aqueous humor levels of IL-4 (r = 0.567, P = 0.022), HGF (r = 0.701, P = 0.005), and MCP-1 (r = 0.565, P = 0.035) are significant relative to laser points. Hence, cytokines might potentially be the therapeutic target of high IOP after PPV.
An anti-inflammatory nanoghost for atherosclerosis therapy: a red blood cell based bio-mimetic strategy
Authors: Karami Zahra , Akrami Mohammad , Esfandyari-Manesh Mehdi , Haririan Ismaeil , Nateghi Saeed 
Published: August 2023

Abstract
Inflammation control is becoming a critical strategy for atherosclerosis management, because inflammation is involved in plaque progression. In this regard, a biomimetic strategy using cell membrane-coated nanoparticles has some promising advantages. In the study, a RBC membrane-based nanoghost containing Glyburide (Glibenclamide) was prepared using an extrusion method. The hydrodynamic size and zeta potential of the nanoghost were changed compared to PLGA nanoparticles. In addition, a nanoghost with a diameter and shell size of 125nm and 8.3nm was obtained based on the TEM measurement. The fabricated nanoghost was not only hemocompatible but also was biocompatible. According to RT-PCR assay, the expression levels of inflammatory genes including NLRP3, IL-1β, IL-18 caspase1, 8 and 9 were decreased. In accordance with in vitro anti-inflammation properties, total foam cells, total surface area in tunica intima and population of CD14 + cells were decreased in the rabbit model of atherosclerosis upon nanoghost treatment, compared to positive control. Furthermore, macrophages in aorta sections exhibited M1 to M2 polarization. In general, the development of Glyburide-loaded nanoghost can be considered as a potential therapeutic for controlling the progression and inflammation of atherosclerotic plaque.
WITHDRAWN: Factors influencing the acceptance of wrist-worn wearable devices by the elderly in China
Authors: Cai Min , Zhao Yanling , Wu Miaohuan , Luo Xinggang 
Published: August 2023

Abstract

Background
In the context of a rapidly aging population, smart healthcare for the elderly has become the focus of social attention in China. Wrist-worn wearable devices (WWD) are a class of smart healthcare products that aim to support smart healthcare for the elderly.
Objective
This paper aims to investigate the factors that influence the acceptance of WWD by the elderly in China.
Methods
A questionnaire survey was launched in Yangtze River Delta. Structural equation modeling is used to study the relationships among the factors in the research model, then test the mediating effect.
Results
A total of 310 valid data samples were collected. Results reveal that 8 of the 11 hypotheses were supported. Mediation analysis results are consistent with the hypothesis testing. Specifically, the indirect effects of subjective norm(SN) and facilitating conditions(FC) on behavioral intention(BI) by perceived risk(PR) are significantly negative; Health consciousness(HC) has a significant, positive, and indirect effect on BI with perceived usefulness(PU) as a mediator; and FC has a significant, positive, and indirect effect on BI with the remote mediator of “perceived ease of use(PEOU) →PU”.
Conclusions
The results indicated that SN, FC and HC influence the elderly’s use intention through mediating variables, including PU, PEOU, and PR. However, HC has no significant, direct impact on BI. This study also highlighted the significance of SN, FC, and PU. This study’s findings not only enrich relevant research, but also provide theoretical support and valuable information for designers, governments, and manufacturers to facilitate better service for elderly healthcare.
Rapid Cyprinid herpesvirus 3 detection using loop-mediated isothermal amplification (LAMP) combined with gold nanoprobes and SYBR safe
Authors: Bavarsad Meysam , Abed-Elmdoost Amirreza , Tabandeh Mohammad Reza , Farahmand Hamid , Alishahi Mojtaba , Mirvaghefi Alireza 
Published: August 2023

Abstract

As an etiological agent of a notifiable and emerging disease, Cyprinid herpesvirus 3 (CyHV-3 or koi herpesvirus, KHV) is a highly risky factor that affects koi and common carp yield through increasing the mortality rates. In the current study, a highly rapid and sensitive technique was established to detect CyHV-3 with the help of one step loop-mediated isothermal amplification (LAMP) method with dual visualizing indicators (SYBR safe and gold nanoparticle probes; AuNP-probes). Six specific primers were used to amplify the thymidine kinase (TK) of CyHV-3 using a LAMP reaction of 45 min at 65°C along with detecting the products through visual inspection via hybridization at 65°C for 5 min with a functionalized thiol-AuNP probe. A closed-tube LAMP-SYBR safe assay was also developed under the same condition without AuNP probe. The amplification of KHV-LAMP products were evaluated by the naked eye, through fluorescent emission of LAMP-SYBR safe dye-complex and colorimetric aggregate of LAMP product in the presence of AuNP probe. Furthermore, quantitative measurement was applied to the LAMP-AuNPs assay, using the spectral shift assay. The detection limit was 1.25 fg DNA which can compete the latest techniques available. The proposed technique yielded negative outcomes with DNA template from other viruses such as CyHV-1 and CEV. The LAMP-SYBR safe and LAMP-AuNPs assays introduced in this article was very sensitive, fast, and reliable diagnostic tools for CyHV-3 detection.
Simultaneous study of different combinations of ZSM- 5 templates and operating conditions in the MTP process; Designing, Modeling and Optimization by RSM-ANN-GA
Authors: Kalantari Neda , Farzi Ali , Hamooni Faez , Delibaş Nagihan Çaylak , Tarjomannejad Ali , Niaei Aligholi , Salari Dariush 
Published: August 2023

Abstract
Process of converting methanol to propylene is influenced by many parameters. The use of smart techniques can be an effective way to investigate variable parameters and finding optimal conditions. In this work, optimal design of ZSM-5 catalysts with different combinations of templates and operating conditions in methanol to propylene process was performed using response surface methodology and hybrid artificial neural network-genetic algorithm method. Objective functions for optimization were methanol conversion and propylene selectivity. Effects of different variables in the dual-responses system, including molar ratios of tetra propyl ammonium bromide (TPABr), Cetyltrimethylammonium bromide (CTAB), and Pluronic F127, as well as weight hourly space velocity of feed and process temperature on the performance of catalysts, were studied both experimentally and theoretically. Modeling results showed that the designed neural network structure for the process had superior accuracy compared to RSM with correlation coefficients of 0.9976, 0.9950 and 0.9946 for training, validation and testing, respectively. By combining optimal templates, optimum operating temperature of 420 °C and WHSV of 1 h-1 were obtained based on the genetic algorithm to achieve maximum selectivity of propylene and the highest possible conversion of methanol. The optimal catalyst had stable performance under the optimal conditions.
A Blockchain based Provably Secure AnonymousAuthentication for Edge Computing-enabled
Authors: Zhang Shiqiang , Cao Dongzhi 
Published: August 2023

Abstract
Edge computing server deployed at the edge of the network has promoted thedevelopment of the Internet of Things (IoT) but also brings some security prob-lems. Traditional IoT security solutions have not met the requirements of thecurrent rapid growth of equipment, real-time and lightweight. Therefore, thedevelopment of new authentication and key negotiation is becoming an importantmeans to solve the security problems of the IoT. To address this challenge, anauthentication framework for edge computing enabled-Internet of Things environ-ment is proposed to realize the establishment of secure communication betweendevices and edge servers, devices, and devices. Meanwhile, the formal and infor-mal security analysis shows that the proposed protocol meets a wide range ofsecurity attributes and resists many security threats. In addition, the computa-tion consumption and transmission consumption of the protocol are analyzed andcompared. The results show that the proposed protocol has good performance inboth calculation and transmission.
Evaluating the Performance of different large language models on health consultation and patient education in urolithiasis
Authors: Song Haifeng , Xia Yi , Luo Zhichao , Liu Hui , Song Yan , Zeng Xue , Li Tianjie , Zhong Guangxin , Li Jianxing , Chen Ming , Zhang Guangyuan , Xiao Bo 
Published: August 2023

Abstract

Objectives To evaluate the effectiveness of four large language models (LLMs) (Claude, Bard, ChatGPT4, and New Bing) that have large user bases and significant social attention, in the context of medical consultation and patient education in urolithiasis. Materials and methods In this study, we developed a questionnaire consisting of twenty-one questions and two clinical scenarios related to urolithiasis. Subsequently, clinical consultations were simulated for each of the four models to assess their responses to the questions. Urolithiasis experts then evaluated the model responses in terms of accuracy, comprehensiveness, legibility, human care, and clinical case analysis ability based on a predesigned 5-point Likert scales. Visualization and statistical analyses were then employed to compare the four models and evaluate their performance. Results All models yielded relatively qualified results, except for Bard, which failed to provide a valid response to Question 13. Claude consistently scored the highest in all dimensions compared with the other three models. ChatGPT4 ranked second in accuracy, with a relatively stable output across multiple tests, but shortcomings were observed in empathy and care for counsellors. The Bard model exhibited the lowest accuracy and overall performance. Claude and ChatGPT4 both had a high capacity to analyze clinical cases of urolithiasis. Overall, the Claude model emerged as the best performer in urolithiasis consultations and education. Conclusion Claude demonstrated superior performance compared with the other three in urolithiasis consultation and education. This study highlights the remarkable potential of LLMs in medical health consultations and patient education, although professional review, further evaluation, and modifications are still required.
Neighborhood income inequality associated with functional independence after ischemic stroke: a cohort study
Authors: Coté M Kathryn , Pudlo Megan , Jost-Price BA Emma , Leung  
Published: August 2023

Abstract
Background
Individual measures of socioeconomic status have been associated with post-stroke disability in patients with ischemic stroke. However, it is not known whether the distribution of income in a community may have an impact on stroke recovery. We hypothesized that increased neighborhood income inequality (as measured by the Gini index) may be associated with a slower recovery after stroke.
Methods
This was a retrospective cohort study of adult patients hospitalized at a comprehensive stroke center with acute ischemic stroke between 1/1/2018-12/31/2019. Individual patient data was abstracted from the EHR, and zip code Gini index was obtained from the US Census Bureau. Binary logistic regression was used to assess the relationship between Gini index and modified Rankin score at discharge and follow-up. A second binary regression was also performed using a subset of patients to assess possible predictors of being discharged as recommended.
Results
Three hundred and thirty-eight patients were included in this analysis. Zip code Gini index was not associated with functional independence at discharge but was associated with independence at follow-up such that patients from high inequality neighborhoods were less likely to be independent. Each 1% increase in neighborhood Gini index was associated with an 7% decreased likelihood of independence at follow-up. Patients living in the highest income inequality neighborhoods were 220% less likely to achieve functional independence by follow-up compared to those in the lowest inequality neighborhoods. Being discharged as recommended was associated with a higher likelihood of independence at follow-up. Greater income inequality and Asian race were associated with a lower likelihood of being discharged as recommended.
Conclusion
Among a cohort of patients with ischemic stroke, increased neighborhood income inequality was associated with a lower likelihood of achieving functional independence by the time of outpatient follow-up. This disparity may be driven by discharge destination and race.
What is the Relationship Between the Diagonal Method and the Continuum Hypothesis?
Authors: KUNT İBRAHİM 
Published: August 2023

Abstract
Cantor used a hypothetical list to prove that real numbers in the range (0,1) are uncountable. The indexes of the numbers in this list are natural numbers, and I agree that Cantor's proof is true for a list where the indexes are natural numbers. However, Cantor proved that the cardinality of real numbers in the in the range (0,1) is greater than ω in this proof. He also defined the number ω1 as greater than all natural numbers. Therefore, I add a real number to this list that I assume is in the range (0,1) and has an index of ω1. Then, I use a similar method to what Cantor did with his hypothetical list; I mean I try to find a real number that is not in the range (0,1) in my new hypothetical list. However, this new method differs from the Cantor diagonal method because in this new list, it is assumed that there is a real number whose index is not a natural number. I call this new method DM2 and using this method, I study the cardinality of digits of real numbers that exist in a defined range. I present some new results regarding the Continuum Hypothesis via this method.
COVID-19 and Vestibular Disorders: Is Quality of Life really affected? A narrative review
Authors: Valencia Santiago , Franco Isabela , Gonzalez Sara , Castillo-Bustamante Melissa , Madrigal Jorge 
Published: August 2023

Abstract
The coalescence of vestibular disorders and the COVID-19 pandemic has given rise to a burgeoning area of investigation. This review delves into the intricate relationship between vertigo, often associated with COVID-19, and its profound implications on individuals' quality of life. We explore the evolving understanding of how COVID-19 may trigger or exacerbate vertigo in those with existing vestibular conditions. Furthermore, we emphasize the necessity for in-depth research to elucidate the vestibular involvement in COVID-19 and its consequences on quality of life. While the pandemic's acute phase may have waned, the persistence of COVID-19 cases globally emphasizes the urgency of continued research into the intricacies of vertigo in the context of this viral infection. Ultimately, this narrative review serves as a valuable resource for healthcare professionals, researchers, and policymakers seeking to better understand and address the multifaceted challenges posed by vertigo in the era of COVID-19.
Utilizing Bioinformatics Approaches to Conduct Comparative Analysis of the Thyroid Transcriptome in Thyroid Disorders
Authors: Andrade Luis Jesuino de Oliveira , de Oliveira Luís Matos , Bittencourt Alcina Maria Vinhaes , de Oliveira Luisa Correia Matos , de Oliveira Gabriela Correia Matos 
Published: August 2023

Abstract
Introduction: This study aims to identify common gene expression patterns and dysregulated pathways in various thyroid disorders by leveraging publicly available transcriptomic datasets. The integration of other omics data, when possible, will allow us to uncover potential molecular drivers and biomarkers associated with specific thyroid dysfunctions. However, there are still gaps in the analysis of the transcriptomes of the various thyroid disorders.
Objective: To conduct a comparative analysis of the thyroid transcriptome in thyroid disorders using bioinformatics approaches.
Methods: We retrieved publicly available gene expression datasets related to the thyroid from European Nucleotide Archive. Data preprocessing involved conducting quality control, trimming reads, and aligning them to a reference genome. Differential expression analysis was performed using bioinformatics packages, and functional enrichment analysis was conducted to gain insights into biological processes. Network analysis was conducted to explore interactions and regulatory relationships among differentially expressed genes (DEGs).
Results: Our analysis included a total of 18 gene expression datasets, of which 15 were selected based on inclusion criteria and quality assessment. A large number of DEGs were identified (p < 0.01), and these genes were ranked according to their significance. Functional enrichment analysis revealed numerous biological processes associated with the DEGs, providing insights into the molecular mechanisms of thyroid disorders. Network analysis using Cytoscape software revealed potential interactions among DEGs and identified key hub genes and potential therapeutic targets.
Conclusion: This study demonstrates an accessible methodology for conducting a comparative analysis of the thyroid transcriptome in different disorders without the need for thyroid tissue samples. The integration of bioinformatics approaches provides a comprehensive understanding of the molecular mechanisms underlying thyroid diseases.
Feel properties, thermal stability and colour combination compatibility of nano-LDH on cotton
Authors: Khandual Asimananda , Barik Sunita , Luximon Yan , Dash Bhibhu Prasad , Pradhan Swikruti , Luximon Ameersingh 
Published: August 2023

Abstract
In our prior study, we investigated how reactive dyeing of cotton with Mg-Al Layered Double Hydroxide (LDH) nanoparticles improved the fabric's mechanical, UV protection, and flame retardancy capabilities. Low concentration ranges allow for a safer application for wearables, according to characterization and cytotoxic data. To establish industrial applications, it is necessary to look at their objective testing on feel and comfort qualities, thermal stability, and color combination compatibility. In the current inquiry, we experimented with a fabric touch tester (FTT) for the objective evaluation of feel, and then we used a simultaneous thermal analyzer (STA) to examine the thermal stability of treated cotton. In order to ensure commercial use, three sets of Ultra RGB dyes and their mixing were also used, and their dye absorbing capabilities to provide a broad color spectrum were explored. From CIE chromaticity study, it was discovered that they can be used in place of common dyes with a reliable color forecast for dye combinations. The FTT results show that with the addition of LDH nanoparticles to cotton, the fabric's smoothness, softness, and overall PSI steadily decline, but that smoothness is the only significant aspect of overall feel or PSI. LDH was included into the fiber matrix, which boosted thermal stability.
The Impact of Rural Saving and Credit Cooperative on Household Saving: The Case of Ginir District, Oromia, Ethiopia
Authors: Girma Berhanu , Alemayehu Muluken 
Published: August 2023

Abstract
This study was carried out to determine the impact of rural credit and saving cooperatives on household saving. Data was collected from primary source using questionnaire method. To select sample respondents multi-stage sampling technique were followed. First Ginir district was purposefully selected. Then after, a simple random sampling technique was employed to select three kebales from the district. Finally, using systematic random sampling technique 295 sample household were selected. Logit, and Propensity Score matching methods were employed for data analysis. The results of the logit regression model identified that family size and distances from RUSACCO office, sex of the household head, marital status of household head, education level, access to training, access to credit and amount of loan borrowed affect households’ membership in RUSACCOs. Propensity score matching (PSM) method was also employed to determine the impacts of membership in RUSACCO on household saving in the study area. The estimation result presented that, on average, membership of households in RUSACCO have increased amount of saving by 2627.9 birr during the survey year. The estimated average treatment effect (ATT) showed that membership of households in RUSACCO has significant impact on saving of member households with significant t-statistic (6.18) at 1 percent significance level. The average amount of saving of members households was higher by 37.4 percent when compared with the average amount of saving of non-member households in the study area during survey year.
Associations between peripheral cytokines, perceived fatigue and event-related potentials during a sustained attention task in depressive episodes: a case-control study
Authors: Pedraz-Petrozzi Bruno , Lamade Eva Kathrin , Hübner Nils , Seifert Jil , Neumann Elena , Sammer Gebhard 
Published: August 2023

Abstract
This case-control study investigated the associations between peripheral inflammation, perceived fatigue, and event-related potentials (ERP) during a sustained attention test (SAT) in depression. Participants included 25 individuals with depressive episodes (DE) and 31 healthy controls (HC). A 15-minute SAT (subtest of the Test Battery for Attention, version 2.3.1) was administered with concurrent EEG recordings. Peripheral inflammation was assessed by measuring IL-6, IL-1β, and TNF-α cytokines. Linear mixed models and generalized linear models were utilized for data analysis. Our results showed that the DE group exhibited lower P300 amplitudes than HC (estimate = -0.98, CI95 [-1.60; -0.35], p = 0.004). Furthermore, P300 amplitudes were inversely associated with IL-6 (estimate = -1.73, CI95 [-3.27; -0.19], p = 0.03), regardless of group status. Surprisingly, higher perceived fatigue correlated with increased P300 amplitudes, irrespective of group status (estimate = 0.009, CI95 [0.0004; 0.02], p = 0.05). Finally, accuracy, measured as the total number of correct answers in the SAT, correlated negatively with TNF-α (OR = 0.44, CI95 [0.27; 0.70]). However, no significant effects were found for P300 latency or reaction time in the SAT when comparing DE and HC. The study highlights the potential role of peripheral inflammation on sustained attention in cognitive performance. Due to the low interaction effect, fatigue and P300 amplitude results must be interpreted cautiously. Although P300 amplitudes were lower in DE, no significant association was observed between DE and inflammation in ERP and cognitive performance. Further research is required to confirm these findings.