bluuebunny/crossref_metadata_2025_split huggingface dataset:
Ameliorative Effects of Bone Marrow-derived Mesenchymal Stem Cells and Hyaluronic Acid on Monosodium Iodoacetate-Induced Ankle Osteoarthritis in Wistar Rats: Roles of Th1/Th2/Th17 cytokines, MMP-13, TGF-β1 and antioxidant defense system
Authors: U Hagag , M. Halfaya F. , Al-Muzafar Hessah Mohammed , Al-Jameel Suhailah . S , Amin Kamal Adel , W Abou El-Kheir , E.A. Mahdi , G.H Ragab , O.M Osama 
Published: September 2023

Abstract
Background: There is currently no cure for osteoarthritis [OA], and the few pharmacological therapy options available have drawbacks. Additionally, there is no effective treatment that would guarantee a full recovery from OA. Therefore, the goal of this investigation was to determine if bone marrow mesenchymal stem cells [BMMSCs] and/or hyaluronic acid [HA] were effective in treating experimentally-induced ankle osteoarthritis in Wistar rats caused by monosodium iodoacetate [MIA].
Methods: In five groups of ten rats each, fifty male Wistar rats were distributed. Saline was injected into the right tibiotarsal joint of individuals in group I on two days in a row, whereas those in group II received an injection of 2 mg of MIA [dissolved in saline] into the same joint. Those in groups III [MIA-BMMSCs], IV [MIA-HA], and V [MIA-BMMSCs+HA] were injected with MIA similarly to those in group II and also received intra-articular injections of BMMSCs [1×106 cells/rat], HA [75 µg/rat], and BMMSCs [1×106 cells/rat] alongside HA [75 µg/rat] respectively, in the tibiotarsal joint at the ends of the 2nd, 3rd and 4th weeks after MIA injection. The leg circumference, arthritis score, and morphological changes of the ankle joint were evaluated weekly from the beginning to the end of the experiment. For the purpose of identifying oxidative stress, antioxidant, and inflammatory state indicators, sera were collected. For histological and molecular research, the ankles of the right hind leg were excised out and fixed in neutral buffered formalin.
Results: In addition to raising GSH and GST levels, BMMSCs and HA decreased serum LPO. Additionally, BMMSC and HA significantly decreased ankle MMP-13 mRNA and TGF-β1 protein expressions as well as TNF-α and IL-17 serum levels. Rats with MIA-induced OA had higher serum IL-4 levels after receiving BMMSC and HA. BMMSC and HA caused a steady decrease in joint injury and cartilage degradation, according to histological investigations.
Conclusion: Based on the findings, it is possible to infer that BMMSC and/or HA have anti-arthritic effects that may be mediated by the augmentation of the antioxidant and anti-inflammatory effects in Wistar rats with MIA-induced osteoarthritis. The suppression of MMP-13 and TGF-β1 expressions play an important role in the improvement effects BMMSC and/or HA on OA in Wistar rats.
Data Visualization for Improved Mushroom Cultivation: A User-Friendly Approach
Authors: Hendinata Laurentius Kevin , Kandinata Gabriella Christina , Fikri Ahmad Ilham Rokhul 
Published: September 2023

Abstract
The escalating global population has led to an increasing demand for horticultural products, particularly mushrooms, renowned for their rich nutritional composition. To optimize mushroom cultivation, it is crucial to monitor environmental conditions, including temperature and humidity, to ensure optimal growth. In this study, we designed and implemented an IoT-based mobile application to continuously monitor temperature and humidity in mushroom cultivation houses. The installation process involved strategically placing the components of the system for efficient data collection, and the mobile app was designed with a user-friendly interface for easy navigation and access to critical information. Additionally, we analyzed latency and data sent, demonstrating efficient data transmission and minimal delays in data packet travel. The evaluation of the mobile app's features showed high accuracy and effectiveness in providing real-time status updates. Furthermore, a Likert scale survey confirmed positive feedback from users, affirming the application's potential usefulness in mushroom farming. This system offers promising prospects for enhancing sustainability and profitability in the mushroom cultivation industry.
Study of the effect of keap1 on oxidative stress in human umbilical cord mesenchymal stem cells
Authors: Deng Hongrong , Chen Yunxia , Liu Huiwen , Wang Li , Xu Hao , Tan Bin , Yi Qin , Wang Rui , He Bolin , Tian Jie , Zhu Jing 
Published: September 2023

Abstract
Background: HucMSCs had shown promising efficacy in treating childhood diseases, but oxidative stress induced by the poor microenvironment at the site of damage resulted in low cell survival after transplantation, thus preventing the cells from maximizing therapeutic efficacy. Therefore, this study aimed to investigate the role and mechanism of keap1 in oxidative stress injury of human umbilical cord mesenchymal stem cells (hucMSCs), and to provide theoretical support for improving the efficacy of stem cell therapy.
Methods: The hucMSCs were treated with hypoxic low-sugar-free serum (GSDH) to mimic the damaged site microenvironment after implantation. Adenoviral overexpression of keap1 gene of hucMSCs was performed in vitro, and cell proliferation ability was detected by CCK8 assay, crystal violet staining assay, and cell cycle assay; cellular redox level was assessed by Amplex Red, MDA, and GSH/GSSG kit; mitochondrial morphology was evaluated by mitotracker Red staining; ATP production was estimated by ATP detection kit; and the mRNA expression level of related proteins and related genes was tested by western blotting and RT-qPCR.
Results: GSDH treatment substantially upregulated keap1 mRNA levels and protein levels. Subsequently, we found that overexpression of keap1 notably inhibited cell proliferation and caused cells to stagnate in G1 phase. At the same time, overexpression of keap1 induced the production of large amounts of H2O2 and the accumulation of MDA, but suppressed the GSH/GSSG ratio and the expression of antioxidant proteins NQO1 and SOD1, which caused oxidative stress damage. Overexpression of keap1 induced cells to produce a large number of dysfunctional mitochondria resulting in reduced ATP production. Moreover, Overexpression of keap1 significantly decreased the IKKβ protein level，while upregulating IkB mRNA levels and downregulating P50 mRNA levels.
Conclusions: Overexpression of keap1 may induce oxidative stress injury in hucMSCs by down-regulating IKKβ expression and inhibiting NF-κB pathway activation. This implies the importance of keap1 in hucMSCs and it may be a potential gene for genetic modification of hucMSCs.
Designing Ti-6Al-4V microstructure for strain delocalization using neural networks
Authors: Ahmadikia Behnam , Beyerlein Adolph , Hestroffer Jonathan , Kumar Mariyappan Arul , Beyerlein Irene 
Published: September 2023

Abstract
The deformation behavior of Ti-6Al-4V titanium alloy is significantly influenced by slip localized within crystallographic slip bands. Experimental observations reveal that intense slip bands in Ti-6Al-4V form at strains well below the macroscopic yield strain and may serially propagate across grain boundaries, resulting in long-range localization that percolates through the microstructure. These connected, localized slip bands serve as potential sites for crack initiation. Although slip localization in Ti-6Al-4V is known to be influenced by various factors, an investigation of optimal microstructures that limit localization remains lacking. In this work, we develop a novel strategy that integrates an explicit slip band crystal plasticity technique, graph networks, and neural network models to identify Ti-6Al-4V microstructures that reduce the propensity for strain localization. Simulations are conducted on a dataset of 3D polycrystals, each represented as a graph to account for grain neighborhood and connectivity. The results are then used to train neural network surrogate models that accurately predict localization-based properties of a polycrystal, given its microstructure. These properties include the ratio of slip accumulated in the band to that in the matrix, fraction of total applied strain accommodated by slip bands, and spatial connectivity of slip bands throughout the microstructure. The initial dataset is enriched by synthetic data generated by the surrogate models, and a grid search optimization is subsequently performed to find optimal microstructures. We show that while each material property is optimized through a unique microstructure solution, elongated grain shape emerges as a recurring feature among all optimal microstructures. This finding suggests that designing microstructures with elongated grains could potentially mitigate strain localization without compromising strength.
Designing a novel multi-epitope vaccine against Glioblastoma cancer based on immunoinformatics approaches
Authors: Salahlou Reza , Farajnia Safar , Alizadeh Effat , Elmi Faranak , Dastmalchi Siavoush 
Published: September 2023

Abstract
Glioblastoma multiforme (GBM) stands as the prevalent and highly aggressive malignant primary brain tumor affecting adults. Presently, treatment approaches commonly involve surgery, followed by chemotherapy, or more frequently, radiotherapy. Nevertheless, the median survival of patients remains slightly above one year. Hence, the demand for innovative curative treatments for GBM is crucial. The analysis of GBM cells has played a significant role in identifying various molecules that serve as targets for immunotherapy-based approaches. These include EGFR/EGFRvIII, IDH R132H, H3 K27M, WT1, and TERT. Immunoinformatics methods offer a dual advantage of cost-effectiveness and convenience, leveraging in-silico simulations to significantly reduce development timelines. In this study, we employ immunoinformatics techniques to create an innovative multi-epitope vaccine aimed at preventing GBM. Utilizing complicated immunoinformatics approaches, we successfully predicted distinct epitopes for cytotoxic T lymphocytes (CTLs) and helper T lymphocytes (HTLs). Following that, Through the utilization of appropriate linkers and adjuvants, we created the multi-epitope vaccine by integrating all conserved epitopes. The ultimate vaccine demonstrated antigenicity, non-allergenicity, and stability. Next, we utilized predictions, refinements, and evaluations to determine the 3D configuration of the vaccine. To reveal the interactions between the vaccine and the immune receptor TLR4, we carried out molecular docking and dynamic simulations. Finally, to guarantee that the vaccine protein was fully expressed, the sequence of the designed vaccine was adjusted and in-silico cloning was conducted. In conclusion, the molecule developed in this study shows promise as a potential vaccine option against GBM tumors. However, further research is necessary to thoroughly assess its safety and efficacy.
LFTDA: A Lightweight and Fault-Tolerant Data Aggregation Scheme with Privacy-Enhanced Property in Fog-Assisted Smart Grid
Authors: Liu Tongda , Ai Xin , Chang Jinyong 
Published: September 2023

Abstract
In recent years, the data aggregation scheme was widely adopted in smart grids (SG) to protect data privacy while ensuring data availability. Meanwhile, asymmetric homomorphic encryption is a popular technique that guarantees data aggregation and accurate computing results. However, it often brings heavy computation overheads and costs, which increases burdens to SG. In order to lighten SG's burden, in this paper, a lightweight and fault-tolerant data aggregation scheme (LFTDA) with privacy-enhanced property is proposed. Unlike existing schemes, our proposed scheme uses a lightweight symmetric encryption algorithm and a skillful mathematical structure to achieve data aggregation. In addition, in the proposed scheme, smart meters are allowed to dynamically join and exit from the group while guaranteeing the correctness, security, and efficiency of aggregation. More importantly, our LFTDA is fault-tolerant, which means that the data collection from other devices will not be affected even if some of the smart meters or fog nodes do not work. From the view of security, LFTDA can defend against eavesdropping attack and collusion attack. Finally, we evaluate its performance along with other related schemes in terms of aggregation, decryption, and communication costs, which shows that LFTDA is very competitive and hence is suitable for many practical SG applications.
A Block chain-Based Supply Chain Quality Traceability With Hessenberg And QR Code Generation Algorithm
Authors: D Suja Mary , M Suriakala 
Published: September 2023

Abstract
The rising of globalization and the increasing rate of technological advancement, the volume of production as well as the ease of obtaining counterfeit goods has need the higher security. The Fake Product Identification through QRcode Using Block chain Technology System proposes a form of identification of fake products using block chain technology. To assigning a barcode to a particular product that will created by the manufacturer along with all the details of the product and the end customer can scan that barcode to get all information about that product. After scanning the barcode, the user can identify whether the product is real or fake. This paper focuses on, to check out whether a product is fake or not, the user would need to scan the barcode of the product. If it detects the product, the user will be able to see all the details of the product. If the scanned barcode is fake, it will let the user know that the product is fake. If no product is found, the user can upload a product details as a fake product entry to admin. In this paper, also focuses on how to improve the supply chain quality management by adopting the block chain technology, and propose a framework for block chain-based supply chain quality management.
An interpretable machine learning models for predicting in-hospital mortality in patients with sepsis based on multiple databases
Authors: Zhang Guyu , Shao Fei , Yuan Wei , Wu Junyuan , Qi Xuan , Gao Jie , Shao Rui , Tang Ziren , Wang Tao 
Published: September 2023

Abstract
Background:
This study aimed to develop and validate an interpretable machine-learning model that utilizes clinical features and inflammatory biomarkers to predict the risk of in-hospital mortality in critically ill patients suffering from sepsis.
Methods:
We enrolled all patients diagnosed with sepsis in the Medical Information Mart for Intensive Care IV (MIMIC-IV, v.2.0), eICU Collaborative Research Care (eICU-CRD 2.0), and the Amsterdam University Medical Centers databases (AmsterdamUMCdb 1.0.2). Lasso regression was employed for feature selection. Seven machine-learning methods were applied to develop prognostic models. The optimal model was chosen based on its accuracy and area under curve (AUC) in the validation cohort. Moreover, we utilized the SHapley Additive exPlanations (SHAP) method to elucidate the effects of the features attributed to the model and analyze how individual features affect the model's output. Finally, Spearman correlation analysis examined the associations among continuous predictor variables. Restricted cubic splines (RCS) explored potential non-linear relationships between continuous risk factors and in-hospital mortality.
Results:
A total of 3,535 patients with sepsis were eligible for participation in this study. The median age of the participants was 66 years (IQR, 55–77 years), and 56% were male. After selection, 12 of the 45 clinical parameters collected on the first day after ICU admission remained associated with prognosis and were used to develop machine-learning models. Among seven constructed models, the eXtreme Gradient Boosting (XGBoost) model achieved the best performance, with an AUC of 0.73 and an accuracy of 85% in the validation cohort. Feature importance analysis revealed that Age, AST, invasive ventilation treatment, and Heart rate were the top four features of the XGBoost model with the most significant impact. Some novel inflammatory biomarkers such as NLR, NHR, and MHR also critically impacted the in-hospital mortality of sepsis patients in the XGBoost model. Furthermore, SHAP force analysis illustrated how the constructed model visualized the prediction of the model.
Conclusions:
This study demonstrated the potential of machine-learning approaches for early prediction of outcomes in patients with sepsis. The SHAP method could improve the interoperability of machine-learning models and help clinicians better understand the reasoning behind the outcome.
Neonatal intubation: What are we doing?
Authors: Maglio Sabina , Cavallin Francesco , Sala Chiara , Bua Benedetta , Villani Paolo Ernesto , Menciassi Arianna , Tognarelli Selene , Trevisanuto Daniele 
Published: September 2023

Abstract
Background
How and when the forces are applied during neonatal intubation are currently unknown. This study investigated the pattern of the applied forces by using sensorised laryngoscopes during the intubation process in a neonatal manikin.
Methods
Nine experienced users of direct laryngoscope and nine experienced users of straight blade video laryngoscope were included in a neonatal manikin study. During each procedure, relevant forces were measured using a force epiglottis sensor that was placed on the distal surface of the blade.
Results
The pattern of the applied forces could be divided in three sections. With the direct laryngoscope, the first section showed either a quick rise of the force or a discontinuous rise with several peaks; after reaching the maximum force, there was a sort of plateau followed by a quick drop of the applied forces. With the video laryngoscope, the first section showed a quick rise of the force; after reaching the maximum force, there was an irregular and heterogeneous plateau, followed by heterogeneous decreases of the applied forces. Moreover, less forces were recorded when using the video laryngoscope.
Conclusions
This neonatal manikin study identified three sections in the diagram of the forces applied during intubation, which likely mirrored the three main phases of intubation. Overall, the pattern of each section showed some differences in relation to the laryngoscope (direct or video) that was used during the procedure. These findings may provide useful insights for improving the understanding of the procedure.
Population of invasive group A streptococci isolates from a German tertiary care center is dominated by the hypertoxigenic virulent M1UK genotype
Authors: Wolters Manuel , Berinson Benjamin , Degel-Brossmann Nicole , Hoffmann Armin , Bluszis Rico , Aepfelbacher Martin , Rohde Holger , Christner Martin 
Published: September 2023

Abstract
Purpose
Hypertoxigenic Streptococcus pyogenes emm1 lineage M1UK has recently been associated with upsurges of invasive infections and scarlet fever in several countries but whole-genome sequencing surveillance data from Germany is lacking. We here aimed at exploring recent isolates from our laboratory at a German tertiary care center for the presence of M1UK.
Methods
Whole-genome sequencing was employed to characterize a collection of 47 consecutive non-copy isolates recovered from blood cultures (n = 21) and tissue samples (n = 26) in our laboratory between October 2022 and April 2023.
Results
14 of 47 isolates were assigned to the M1UK lineage, which is the dominant lineage in our sample population.
Conclusion
We here provide first evidence that M1UK has entered Germany.
Antibacterial therapy for acute appendicitis in pediatric patients with hematologic cancer undergoing chemotherapy
Authors: Yoshizawa Kazuki , Ohno Yasunari , Okura Eri , Saito Shoji , Soejima Yuji 
Published: September 2023

Abstract
Purpose
A stratified treatment for acute appendicitis in children with blood cancer undergoing chemotherapy is yet to be established. This study aimed to compare treatment outcomes between antimicrobial therapy and appendectomy in pediatric patients with mild acute appendicitis.
Methods
Nine patients aged < 16 years who developed acute appendicitis during chemotherapy for blood cancers between January 2011 and October 2022 were included. Antimicrobial therapy was not indicated for cases with peritonitis. Clinical data were collected retrospectively, and the patients were divided into antimicrobial and surgical groups. Duration of treatment, duration of chemotherapy interruption, and complications were compared between the groups.
Results
There were no significant differences between the groups in mean age, primary disease ratio, white blood cell count at the onset of appendicitis, treatment duration, and chemotherapy interruption. The Pediatric Appendicitis Score was significantly lower in the antimicrobial group than in the surgical group (3.6 vs. 6.3, p = 0.004). There were no cases of antimicrobial resistance or complications. No recurrence of appendicitis was observed in the antimicrobial therapy group (mean follow-up: 27.8 months).
Conclusion
This study suggests that antimicrobial therapy is a treatment option for acute appendicitis without peritonitis in pediatric patients with hematological cancer.
Prompt and portable chemical fingerprinting analysis of complex liquids using diamond-based electronic tongue
Authors: Ohmagari Shinya , Nakahara Hiroya , Watatani Atsushi , Arita Ryoji , Morita Nobutomo , Takemura Kenshin , Iwasaki Wataru , Yoshitake Tsuyoshi 
Published: September 2023

Abstract
Chemical fingerprinting analysis using a diamond-based electronic tongue enables wide-range (>5V) voltammetry scanning with highly sensitive signal detection because of their chemical inertness and a large potential window. To measure the robustness of chemical fingerprints, spectral stability, and similarity were evaluated using complex liquids by cyclic voltammetry. Cyclic voltammograms showed different intensities and peak shapes depending on the sample variety, even among similar types of beverages. The similarity of chemical fingerprints as evaluated by the Euclidean distance was kept as high as >90% among identical liquids and it largely decreased against non-identical solutions. The similarity score dispersion is high enough as fingerprinting information and it could be utilized for data analysis applications including anomaly detection and authenticity determination. The diamond-based electronic tongue designed for single-use concept does not necessitate the recalibration of sensors and it possesses significant potential for prompt and portable fingerprinting analysis which is also attractive as platform devices to obtain rich information for machine learning.