bluuebunny/crossref_metadata_2025_split huggingface dataset:
Identification and analysis of co-disease genes between COVID-19 and osteoarthritis
Authors: Zhang Qiang , Liu Ninghao , Li Dawei , Zheng Yingjie 
Published: April 2024

Abstract
Background: The molecular mechanisms of corona virus disease 2019 (COVID-19) and osteoarthritis (OA) are unclear, and there is an urgent need to identify new biomarkers and explore their potential molecular mechanisms in COVID-19 and OA.
Methods: The GSE57218, GSE157103 training sets and the GSE82107, GSE171110 validation sets were acquired via gene expression omnibus (GEO) database. First, differentially expressed genes (DEGs) between disease and normal samples in the GSE57218 and GSE157103 training sets were respectively sifted out by differential expression analysis. The modules with the highest correlation with OA and normal, COVID-19 and non COVID-19 were gained by weighted gene co-expression network analysis (WGCNA), individually. Then, OA-DEGs were intersected with the module genes that had significant correlation with OA, and COVID-19-DEGs were intersected with the module genes which were dramatically correlated with COVID-19 to yield OA-intersected genes and COVID-19 intersected genes, respectively. The OA-intersected genes and COVID-19 intersected genes were intersected to yield candidate genes, and they were analyzed for function enrichment analysis. Next, the seven algorithms (Closeness, MCC, Degree, MNC, Radality, Stress and EPC) were performed on candidate genes to sift out biomarkers. Finally, we constructed the competing endogenous RNA (ceRNA), transcription factor (TF)/miRNA-mRNA and drug-target regulatory networks.
Results:There were 1135 OA-DEGs and 4336 COVID-19-DEGs between disease and normal samples in the GSE57218 and GSE157103 training sets, respectively. The pink, blue and brown modules had significant correlations with OA in the GSE57218 training set, while in the GSE157103 training set, the pink and brown modules were notably correlated with COVID-19. We finally yield 715 OA-intersected genes and 2282 COVID-19-intersected genes. After intersecting the above two intersected genes, we gained 106 candidate genes, and they were involved in ADP metabolic process, nucleoside diphosphate phosphorylation, etc.. The 7 biomarkers, namely AK1, APP, ENO1, TPI1, HSP90B1, HSPB1 and ESR1, were acquired based on seven algorithms. Finally, we successfully constructed the ceRNA, TF/miRNA-mRNA and drug-target networks.
Conclusion: Through bioinformatic methods, we explored the biomarkers (AK1, APP, ENO1, TPI1, HSP90B1, HSPB1 and ESR1) of COVID-19 combined OA, providing new ideas for studies related to molecular mechanisms and treatment of comorbidity.
Artificial fingerprints engraved through block-copolymers as nanoscale physical unclonable functions for authentication and identification
Authors: Milano Gianluca , Murataj Irdi , Magosso Chiara , Carignano Stefano , Fretto Matteo , Lupi Federico Ferrarese 
Published: April 2024

Abstract

Besides causing financial losses and damage to the brand's reputation, counterfeiting can threaten the health system and global security. In this context, physical unclonable functions (PUFs) have been proposed to overcome limitations of current anti-counterfeiting technologies. Here, we report on artificial fingerprints that can be directly engraved on a wide range of substrates through self-assembled block-copolymer templating for secure authentication and identification. We show that engraved nanopatterns are unclonable unique objects that endow high encoding capacity density while satisfying main requirements of PUFs, including high aging and thermal stability. Besides showing that these nanopatterns can be encoded in binary code matrices with high entropy and high uniqueness, we propose a strategy for robust authentication and identification in real-world scenarios based on computer vision concepts. These results can shed new light on the realization of PUFs embracing the inherent stochasticity of self-assembled materials at the nanoscale.
Integration of Mendelian Randomization to Explore the Genetic Influences of Pediatric Sepsis: A Focus on RGL4, ATP9A, MAP3K7CL, and DDX11L2
Authors: Zhang Liuzhao , Chu Quanwang , Jiang Shuyue , Shao Bo 
Published: April 2024

Abstract

This study delves into the genetic underpinnings of pediatric sepsis, focusing on the association and potential mechanisms of action of four key genes: RGL4, ATP9A, MAP3K7CL, and DDX11L2. Utilizing a combination of differential expression analysis, Mendelian Randomization (MR), immune cell infiltration analysis, and validation through independent datasets, we aimed to elucidate the roles these genes play in the pathophysiology of sepsis and their implications for immune response modulation. Our findings reveal that RGL4 and ATP9A are upregulated in sepsis cases, suggesting their involvement in exacerbating the condition through the promotion of inflammatory responses. Conversely, MAP3K7CL and DDX11L2 are downregulated, indicating their potential protective effects against sepsis by modulating immune responses and preventing excessive inflammation. The MR analysis, particularly employing the Inverse Variance Weighted method, provided evidence for the causal relationship between these genes and sepsis risk, highlighting their significance in the disease's genetic landscape. These genes represent promising biomarkers for sepsis risk stratification and prognosis, offering new avenues for early detection and personalized treatment strategies. This research contributes to the understanding of the genetic factors influencing pediatric sepsis and opens up potential pathways for the development of targeted therapeutic interventions, aiming to improve patient outcomes in this challenging clinical condition.
Discovery of host genetic factors through multi-locus GWAS against Toxoplasmosis in sheep: Addressing One Health perspectives
Authors: YAMAN Yalçın , BAY Veysel , KİŞİ Yiğit Emir 
Published: April 2024

Abstract

T. gondii stands as one of the most successful pathogens, capable of infecting nearly all warm-blooded species. It is estimated that up to 50% of human populations could harbor Toxoplasmosis infections. Among the primary transmission routes is the consumption of tissue cysts from infected food-producing farm animals. Thus, controlling Toxoplasmosis in farm animals is of vital importance for public health and food safety. The implementation of selective breeding in farm animals, where available, could serve as an effective complementary strategy for eradicating Toxoplasmosis from herds. For this purpose, we conducted four multi-locus genome-wide association (GWA) approaches to uncover the underlying polygenic factors involved in innate resistance to Toxoplasmosis in naturally infected sheep. Our findings indicate that 16 SNPs significantly influence host immunity against T. gondii infection. This study marks the initial exploration of host genetic factors against Toxoplasmosis in livestock, utilizing the ovine paradigm as its foundation.
Numerical solution of nonlinear multi-term weakly singular fractional Volterra integro-differential equations using Jacobi collocation method
Authors: Haddam Qasim Hadi , Najafi Esmaeil , Sohabi Saeed 
Published: April 2024

Abstract

‎This paper deals with the numerical solution of a class of nonlinear multi-term weakly singular fractional Volterra integro-differential equations by ‎Jacobi ‎collocation method based on the orthogonal polynomials‎. ‎Since the solution of the proposed equation is not smooth enought ‎in the origin‎, thus t‎he ‎idea ‎of ‎the ‎smoothing ‎transformation ‎is ‎used ‎on the equation ‎‎to ‎incearse ‎the ‎smoothness ‎of ‎the ‎solution. ‎‎We ‎represent‎ an operator-based ‎discus‎sion ‎of ‎smoothing ‎transformation ‎an‎d Gauss-Jacobi ‎quadrature‎ ‎for ‎Riemann-‎Liou‎ville ‎integral ‎operators‎ ‎and ‎weakly ‎singular ‎integral ‎operators ‎using ‎their ‎similar ‎constructions‎ ‎and ‎extend ‎it ‎to ‎the ‎error ‎analysis ‎of ‎the ‎proposed ‎method ‎and ‎obtain ‎an ‎error ‎bound ‎for ‎the ‎discrete ‎collocation ‎solution. ‎To ‎test ‎the ‎efficiency ‎and ‎accuracy, ‎‎‎various ‎numerical ‎examples ‎are ‎solved ‎by‎ the ‎pr‎oposed ‎method and the ‎obtained‎ ‎error‎ results are in accordance with the ‎convergence ‎analysis ‎of ‎the ‎method.‎‎‎‎‎‎
2020 MSC: 26A33, 65R20, 65M70
Model-based Assembly Process Planning for Flexible Aircraft Cabin Architectures
Authors: Ghanjaoui Yassine , Satwan Philip , Biedermann Jörn , Nagel Björn 
Published: April 2024

Abstract

The configuration and equipment of an aircraft cabin has a significant impact on the passenger's flight experience. In order to meet the needs of passengers and improve the flight experience, airlines repeatedly demand customised adaptations to the cabin design. The implementation of these changes requires a high degree of flexibility in production and can lead to difficulties in setting up a fixed final assembly line. In addition, unforeseen events and changes in the OEMs' supply chain require a rapid response in aircraft production in order to be able to deliver on time. Digitalisation in product development and production planning makes it possible to overcome these challenges and makes an important contribution to flexibility, time and cost efficiency. This paper presents a digital approach to modeling and flexible planning of assembly processes of the cabin. To this end, aircraft design data is automatically linked to the assembly system in order to react quickly to design changes in the assembly planning process. The integration is realized in a system architecture model depicted with the Systems Modeling Language (SysML). The architecture model follows the formal process description defined in VDI3682. A planning algorithm then uses the production architecture parameters to optimise the assembly processes, e.g. in terms of time. The approach presented is demonstrated using the example of scheduling the pre-assembly processes of the "crown module". The latter includes all structural and functional components above the window panels, such as overhead bins, electrics and air conditioning. The results show how changes in aircraft and cabin design or in the production plant and resources can be flexibly evaluated. This allows conceptual changes to be evaluated and traded before the cabin design is frozen and transferred to real production. These advantages contribute to the time and cost optimisation of aircraft production. This work thus makes a valuable contribution to the further development of digital solutions in aircraft production.
Can the Family Doctor Contracted Service System Improve the Health of Migrants? A Cross-Sectional Study in China
Authors: Liu Sijia , Hu Jiajing 
Published: April 2024

Abstract

China's rapid urbanization and internal migration have increased the need for effective healthcare services for migrants. This study investigated the potential of China's family doctor contracted service system to improve migrant health, considering the unique healthcare access challenges they face. Using data from the China Migrants Dynamic Survey (CMDS) 2018, a cross-sectional analysis was conducted to assess the impact of the family doctor contracted service system on migrant health while also considering the mediating role of health education in this relationship. Statistical analysis included descriptive statistics, bivariate analysis, and a double machine learning model to estimate treatment effects. The analysis revealed a positive association between the family doctor contracted service system and migrant self-rated health status. Machine learning models consistently supported this finding, indicating the system's role in enhancing migrants' health perceptions. Furthermore, health education emerged as a significant mediator, with family doctor contracted services positively influencing migrants' access to health education, subsequently improving their health status. China's family doctor contracted service system holds promise for addressing health disparities among migrants. Strengthening promotion efforts, enhancing health education, and implementing effective policy evaluation mechanisms are crucial for leveraging primary healthcare initiatives to mitigate health disparities among migrants in China.
Hydroponic Fertilizers as a Growth Media for Chlorella vulgaris for Producing Affordable Protein in Developing Countries
Authors: Nugroho Wahyunanto Agung , Rofiq Hanaul , Estuwilujeng Arrahmadiana , Wibisono Yusuf , Bilad Muhammad Roil 
Published: April 2024

Abstract

Chlorella vulgaris stands out as a promising microalga for single-cell protein production, particularly due to its potential to address the need for affordable nutrition in less developed regions. Given this context, the quest for more economical fertilization methods is essential. Among the viable alternatives, hydroponic fertilizer (HF) emerges as a widely available option, particularly in regions such as Indonesia. Typically, HF is supplied in two distinct forms: powdered Mix-A and Mix-B to prepare the stock solutions. This study investigates the impact of varying concentrations and stock solution ratios on both the growth rate and biomass yield of Chlorella vulgaris. Additionally, an economic analysis of cultivation activities is conducted, with a specific focus on comparing the feasibility of utilizing hydroponic fertilizer against conventional methods. The findings reveal that specific ratios and concentrations of the tested growth media outperform standard mediums in promoting the growth rate and biomass yield of cultivated Chlorella vulgaris. Furthermore, the economic analysis assesses two primary cost components: fertilizer and energy. Remarkably, the study demonstrates that all tested hydroponic mediums offer a more cost-effective cultivation solution compared to the conventional methods, primarily attributed to the lower cost of the hydroponic fertilizers.
Efficient Removal of Cd 2+ ions and Methylene Blue from Aqueous Solutions by Polyanionic Sodium Alginate-derived Hydrogel
Authors: Kamal Kholod H. , Hassan Mohamed A. , Kamel Samir , El-Sayed Naglaa Salem 
Published: April 2024

Abstract

The ever-increasing water pollution by synthetic dyes, heavy metals, and other organic contaminants are critical environmental issues that receive the world attention. Considering the purification technology based on adsorption, the fabrication of efficient adsorbents for the effective separation and removal of water contaminants is urgently required. Here, we developed a polyanionic superabsorbent hydrogel by graft copolymerization of methacrylic acid, acrylamide, and 2-acrylamido-2-methyl-1-propanesulfonic acid onto sodium alginate. In this study, the capacity of as-prepared hydrogel to remove Cd2+ ions and methylene blue from aqueous solutions was investigated using batch equilibrium experiments. In this regard, the effect of different contact times, pH, sorbent dosage, contaminant concentrations, temperature, and salinity on the hydrogel adsorption capacity was studied. To understand the hydrogel sorption behavior, the adsorption kinetics using pseudo-first-order, intraparticle diffusion, Elovich models, Langmuir, Freundlich, Temkin, and Dubinin-Radushkevich isotherms were employed. The hydrogel achieved remarkable removal efficiencies for methylene blue up to 131.5 mg/g (97.5%) and 526 mg/g for Cd2+ ions (87%). More interestingly, the regeneration experiment validated the reusability of SAH. These findings highlight the potential of SAH hydrogel for the effective removal of Cd2+ ions and methylene blue from water treatment applications.
RETRACTED: Extraction and Characterization of Cellulose from Stipa Tenacissima as a Promising Advanced Reinforcement Material
Authors: Nague Ikrame , loudifa Fatima-ezzahra , Zazouli Sofia , Moubarik Amine , laallam Latifa , Jouaiti Ahmed 
Published: April 2024

Abstract

The authors have requested that this preprint be removed from Research Square.
A case report of anaphylaxis caused by initial administration of rasburicase resulting in death just before the treatment of diffuse large B cell lymphoma
Authors: Utsu Yoshikazu , Kaneda Natsuho , Kawakami Makio , Masuda Shin-ichi , Arai Hironori , Shimoji Sonoko , Matsumoto Rena , Tsushima Takafumi , Tanaka Kazusuke , Matsuo Kosuke , Kimeda Chiharu , Konno Shiho , Aotsuka Nobuyuki 
Published: April 2024

Abstract

Background:
Rasburicase has potent efficacy in controlling uric acid and is widely used to prevent tumor lysis syndrome in high-risk patients owing to its low toxicity profile. However, the safety of rasburicase re-administration has not been established due to the risk of anaphylaxis mediated by antibody production. However, reports of such reactions upon the initial administration of rasburicase are scarce.
Case presentation:
A 71-year-old Japanese female who had been diagnosed with diffuse large B cell lymphoma with a large tumor burden experienced anaphylactic shock leading to death that occurred upon initial administration of rasburicase just before the chemotherapy. The patient had several unfavorable characteristics that resulted in a fatal outcome, including a predisposition to allergies. Moreover, there was a large tumor in the posterior mediastinum that, although it would not cause a significant issue under normal circumstances, could severely impact hemodynamics if the patient entered into a state of shock. Chest compressions during cardiopulmonary resuscitation resulted in crushing of the tumor. The pre-and postmortem examination revealed that the cause of death was a cascade of events starting with anaphylaxis-induced distributive shock leading to obstructive shock due to collapse of the heart, which was compressed by the tumor. This was further compounded by massive bleeding from the tumor and tension hemothorax, resulting in circulatory collapse.
Conclusions:
Anaphylaxis can lead to lethal outcomes when unfavorable conditions overlap. Clinicians need to carefully assess the indication for rasburicase, considering both the risk of tumor lysis syndrome and the patient’s background risks simultaneously.
Ceratocystis acaciivora = Ceratocystis manginecans and Chalaropsis sp. 1 on Chinese chestnut (Castanea mollissima) in China
Authors: Li Xue , Liu Yanmei , He Shuqi , Xing Shijun , Huang Qiong 
Published: April 2024

Abstract
During September of 2020, black rot was found on post-harvest Chinese chestnuts from a farmer’s market in Kunming of Yunnan Province, China. Three isolates and two isolates were identified as Ceratocystis acaciivora =Ceratocystis manginecans and Chalaropsis sp. 1, respectively, based on morphology and sequence of 60S, LSU and MCM7. Pathogenicity test and revalidation of Koch’s postulates indicated that two fungus was both the causal agent of black rot disease on Chinese chestnut. This is the first report of C. acaciivora and Chalaropsissp. 1 affecting Chinese chestnut.
Robustness of Entanglement for W and Greenberger-Horne-Zeilinger Mixed States
Authors: Zhu Zhen , Lv Guo-Lin , Miao Maoke , Chen Xiao-Yu 
Published: April 2024

Abstract

We study the robustness of entanglement for W and GHZ mixed states of three and four qubits. By using the definition of the robustness of entanglement and constructing multi-partite fully separable states, we obtain the analytical upper bound of the robustness of entanglement. By analyzing the entanglement witness , we obtain the lower bound of the robustness of entanglement. Then we find that the upper bound and the lower bound are fully coincident, which shows that our results are accurate and valuable.
Discriminating craft and industrial beers by untargeted GC-MS metabolomics combined with multivariate statistical analysis
Authors: Ji Xiaoyue , Ji Wensu , Ding Linfei 
Published: April 2024

Abstract

Developing robust analytical methodologies for the discrimination of craft and industrial beers presents a significant yet formidable challenge. The identification and differentiation of products necessitate the utilization of reliable analytical methods, which are indispensable for ensuring market stability and safeguarding consumer interests. In this study, representative beer samples with a significant market share were selected for headspace solid-phase microextraction coupled with gas chromatography-mass spectrometry (HS-SPME-GC-MS) analysis to compare the volatile substance characteristics of craft and industrial beers. The findings suggested that alcohols and esters constituted the primary volatile compounds. Craft beer exhibited a higher abundance of both types and concentrations of volatile compounds compared to industrial beer. Subsequently, unsupervised and supervised chemometric techniques were employed for further analysis of the data matrix. The orthogonal partial least squares discriminant analysis (OPLS-DA) method was established to effectively discriminate between industrial and craft beers, enabling the identification of characteristic volatile markers. The untargeted GC-MS metabolomics coupled with multivariate statistical analysis holds promise for the authentication of craft and industrial beers.
Electrophysiology of Pancreatic Beta Cells: A Comprehensive Review of Ion Channel Function, Electrical Activity, and Secretory Mechanisms
Authors: Oruç Aykut , Oruç Kadriye Yağmur , Altan Mehmet , Sönmez Osman Fuat , Cin Semih 
Published: April 2024

Abstract
Pancreatic beta cells play a crucial role in maintaining glucose homeostasis through the regulation of insulin secretion. The electrophysiological properties of these cells, including ion channel function, electrical activity, and secretory mechanisms, are essential for their proper physiological function. In this comprehensive review, we provide an in-depth analysis of the electrophysiology of pancreatic beta cells. We discuss the various ion channels involved in the generation and modulation of electrical signals, such as voltage-gated ion channels, ATP-sensitive potassium channels, and calcium channels. Additionally, we examine the intricate interplay between intracellular calcium dynamics and insulin release. Furthermore, we explore the physiological and pathological factors that can influence the electrophysiology of pancreatic beta cells. A comprehensive understanding of the electrophysiological mechanisms governing pancreatic beta cell function is crucial for unraveling the pathogenesis of diabetes mellitus and developing novel therapeutic strategies.