bluuebunny/crossref_metadata_2025_split huggingface dataset:
Glasidian; Polyester-based agglomerated stone made from waste glass and obsidian
Authors: ELÇİ Hakan , YEŞILOVA Çetin , Hacımustafaoğlu Ramazan , Özkan İlker 
Published: April 2024

Abstract

Glasidian is an agglomerated stone made by mixing obsidian and used industrial glass fragments with a polyester binder for cladding. This cladding material is created by connecting obsidian and industrial glass particles, which have extremely comparable material qualities, with polyester in a 1:1 ratio and forming a self-compacting a mixture. The colour and design of the agglomerated stone made from fine glass and obsidian aggregate are comparable to those of real stone cladding. It has lower density and porosity than natural stone. Galacidian is extremely resistant to abrasion and has adequate compressive and bending strengths. Its qualities make it suitable for usage as a cladding material in interiors. This study identified an alternate application for industrial waste glass, which has a very poor recycling rate across the country, and obsidian, which is currently underutilized as a raw material.
An Efficient Encoding Mechanism for Digital Microfluidic-based DNA Data Storage Systems
Authors: Pourasadollah Mostafa , Taajobian Maryam , Jahanian Ali 
Published: April 2024

Abstract
Digital data production speeds up dramatically every day, and the need to store extensive data rises consequently. Many storage media are used today, but only a few are capable of the required features in terms of high density, data duration, storage lifetime, and reliability. DNA-based digital data storage systems are one of the new and feature-rich media to store a massive amount of data in a very tiny volume with a strange lifetime. However, building dense and straightforward DNA storage comes with some challenges. Using manual methods to transfer and mix liquids containing DNA molecules makes this storage more error-prone. Moreover, the encoding method of digital data into DNA molecules is very crucial. This paper proposes a novel method for automatic and controllable DNA strand manipulation using a customized Digital Microfluidic Biochip (DMFB) corresponding to the CAD algorithm. Then, we offer a new approach to encoding the digital data into DNA molecules that helps error detection and correction in DNA storage while it brings efficient encoding density. Experimental results show that we can write 1.6 bits on each nucleotide with a 200-base strand which is a good density compared with other methods. In contrast, the encoding method is much simpler and easier to implement.
The effect of masonry buildings' geometrical characteristics on their vulnerability caused by tunneling- induced settlement
Authors: Kolivand Farshad , Daraei Ako 
Published: April 2024

Abstract

Tunnel construction in the urban area is often a challenge due to the presence of masonry buildings. The aim of this study is to investigate the effects of the geometric characteristics of masonry buildings, on the damage caused by tunneling using numerical simulations. The results show that the width of the building is a more important factor in controlling settlement and damage to the building than its length. The analysis of the building's deformation parameters shows that the differential settlements play a greater role in damage to building. Buildings with a width of less than 10 m suffer only minor damage due to small changes in differential settlement. For buildings with a width of more than 10 m and up to 35 m, the differential settlements increase considerably and cause structural damage. The analysis shows that as the width of the building increases, mainly due to a decrease in the stiffness of the foundation, the slope and angular distortion of the foundation increase and consequently the building damage increases. Buildings with a width of less than 10 m suffered only minor damage, while buildings with a width of more than 21 m suffered structural damage. Furthermore, the tilt of the building alone is not a good parameter for assessing building damage. The length of the building has no significant influence on building damage.
Evaluating Drug Interaction Risks: Nirmatrelvir &amp; Ritonavir Combination (PAXLOVID®) with Concomitant Medications in Real-World Clinical Settings
Authors: Zatovkaňuková Petra , Veselý Dalibor , Slíva Jiří 
Published: April 2024

Abstract

Purpose
This research article delves into the battle against the COVID-19 pandemic, focusing on the efficacy and safety of the combination of nirmatrelvir with ritonavir, found in the pharmaceutical product Paxlovid®. The study aims to analyze the potential interactions of commonly prescribed medicinal products with Paxlovid®, shedding light on its utilization in specific medical fields.
Methods
The analysis draws data from the registers of the Institute of Health Information and Statistics of the Czech Republic (IHIS CR) covering 4,078,065 patients diagnosed with COVID-19. The study focuses on 70 ATC groups, identified based on the most commonly prescribed substances and medical specialties. Pharmacological assessments were conducted using the Liverpool checker (LC) and the Summary of Product Characteristics (SPC) for Paxlovid®.
Results
The combination of nirmatrelvir and ritonavir in the treatment of COVID-19 significantly suppresses the progression to severe illness and reduces the viral load of SARS-CoV-2. An interim analysis showed a lower incidence of COVID-19-related hospitalization or death by day 28 in patients receiving the treatment compared to placebo (6.32% difference, p < 0.001).
Conclusion
The study highlights the promising efficacy of nirmatrelvir with ritonavir in early-stage COVID-19 treatment, emphasizing its potential to manage the disease effectively. Although concerns exist about potential drug interactions, particularly due to ritonavir's impact on cytochrome P450, these interactions are manageable. The analysis of concurrent therapies provides valuable insights into the rational use of Paxlovid® in clinical practice, contributing to ongoing efforts to find safe and effective treatments for COVID-19 amidst emerging variants of the virus.
Studies on the transport behavior of sodium nitrate (NaNO 3 ) and ammonium nitrate (NH 4 NO 3 ) in aqueous binary mixture of 2-Butoxyethanol using electrical conductivity at 298.15, 303.15, 308.15, and 313.15 K
Authors: Das Chanchal 
Published: April 2024

Abstract
Transport behavior of sodium nitrate (NaNO3) and ammonium nitrate (NH4NO3) in aqueous binary mixture of 2-butoxyethanol containing 0.20, 0.40 and 0.60 mass fraction of 2-butoxyethanol were studied using electrical conductivity at 298.15, 303.15, 308.15, and 313.15 K. For the analysis of experimental conductance data, the 1978 Fuoss conductance-concentration equation was used. The values of limiting molar conductance (), ionic association constant (KA) and the association diameter (R) were obtained from the analysis. The ionic contributions to the limiting molar conductances were also estimated. The calculated values of KA and R suggest a weak electrostatic ion solvent interaction for these two salts in aqueous binary mixture of 2-butoxyethanol. Besides, they exist as free ions in all the solvents compositions and temperature range covered in this study. Effect of temperature and solvent compositions on the values of association constants and single-ion conductivity of these electrolytes were discussed. The Walden products for the ions show noticeable deviations under varying temperature and solvent composition.
Hyaluronic acid combined with Centella asiatica extract improve skin barrier function and alleviate inflammatory damage via JAK/STAT3 signaling pathway
Authors: Shi Hong-yu , Liu Qiang , Du Shuai , Zhang Mei-xia , Li Qu-quan , Yang Zhen-bang , Lin Pei 
Published: April 2024

Abstract

Objective
Psoriasis, as a chronic inflammatory skin disease, has complex pathogenesis, stubborn condition and high recurrence rate. Centella asiatica (L.) Urban (CA) is one of the commonly used Chinese herbal medicines in dermatology, which has multiple pharmacological activities such as promoting wound healing, anti-cell proliferation and anti-inflammation. Hyaluronic acid (HA) has become an excellent moisturizing ingredient and is widely used in skin care products. This study aims to explore the effects and mechanism of HA combined with CA on skin inflammatory injury and provide experimental basis for the future application research of HA and CA in inflammatory skin diseases.
Methods
In this study, the skin barrier repair function and the mechanisms of HA combined with CA were evaluated. The expressions of inflammatory factors and barrier related factors were detected in LPS-induced HaCaT cells. The effects on the migration and angiogenesis ability were analyzed in VEGF- induced HUVECs.
Results
HA with different molecular weights increased the contents of GSH and SOD in LPS-induced HaCaT cells, eliminated free radicals, reduced the production of ROS, and inhibited cell oxidative stress. Among them, HA with molecular weight of 6100Da was the best, followed by 1220KDa HA. It was found that the molecular weight of 1220KDa HA effectively inhibited IFN-γ mRNA level, increase the content of AQP3 and FLG in cells. Mechanism research showed that HA inhibited inflammation was related to block the transduction of NF-κB and JAK/STAT3 pathways. Meanwhile, 1220KDa HA (2 mg/mL) combined with ethyl acetate of CA (CAE, 25 µg/mL) could effectively inhibit the expression of MMP-1 in LPS-induced HaCaT cells, increase the expression of skin barrier related proteins AQP3 and FLG, and reduce the secretion of IL-17. HA combined with CAE enhanced the inhibition of NF-κB and JAK/STAT3 pathways, improving the inhibitory effects of CAE on IFN-γ and IL-6. In addition, after the intervention of HA combined with CAE, the migration and the angiogenesis abilities of VEGF-induced HUVEC cells were decreased.
Conclusion
HA combined with CAE can reduce release of inflammatory factors and improve the function of skin barrier via the inhibition of NF-κB and JAK/STAT3 pathways, alleviating psoriasis like inflammatory damage.
Podoplanin depletion in tonsil-derived mesenchymal stem cells induces cellular senescence via regulation of the p16Ink4a/Rb pathway
Authors: Kim Ha Yeong , Kim Han Su 
Published: April 2024

Abstract

Background
Mesenchymal stem cells (MSCs) are widely used in the development of therapeutic tools in regenerative medicine. However, their quality decreases during in vitro expansion because of heterogeneity and acquired cellular senescence. We investigated the potential role of podoplanin (PDPN) in minimizing cellular senescence and maintaining the stemness of tonsil-derived MSCs (TMSCs).
Methods
TMSCs were isolated from human tonsil tissues using an enzymatic method, expanded, and divided into two groups: early-passaged TMSCs, which were cultured for 3–7 passages, and late-passaged TMSCs, which were passaged more than 15 times. The TMSCs were evaluated for cellular senescence and MSC characteristics, and PDPN-positive and -negative cells were identified by fluorescence-activated cell sorting. In addition, MSC features were assessed in siRNA-mediated PDPN-depleted TMSCs.
Results
TMSCs, when passaged more than 15 times and becoming senescent, exhibited reduced proliferative rates, telomere length, pluripotency marker (NANOG, OCT4, and SOX2) expression, and tri-lineage differentiation potential (adipogenesis, chondrogenesis, or osteogenesis) compared to cells passaged less than five times. Furthermore, PDPN protein levels significantly decreased in a passage-dependent manner. PDPN-positive cells maintained their stemness characteristics, such as MSC-specific surface antigen (CD14, CD34, CD45, CD73, CD90, and CD105) and pluripotency marker expression, and exhibited higher tri-lineage differentiation potential than PDPN-negative cells. SiRNA-mediated silencing of PDPN led to decreased cell-cycle progression, proliferation, and migration, indicating the significance of PDPN as a preliminary senescence-related factor. These reductions directly contributed to the induction of cellular senescence via p16Ink4a/Rb pathway activation.
Conclusion
PDPN may serve as a novel biomarker to mitigate cellular senescence in the clinical application of MSCs.
Exploring the Role of Key Gene PTTG1 in Clear Cell Renal Carcinoma Based on Bioinformatics Analysis and In-vitro Cell Experiments
Authors: Guan Li-hui , Wu Yu-dong 
Published: April 2024

Abstract

Background: This study aimed at exploring the expression characteristics and functional roles of PTTG1 in ccRCC by bioinformatics analysis and in-vitro experiments, as well as its potential to be a new type of therapeutic target.
Methods: TCGA-KIRC data and relevant information of the samples were obtained from UCSC Xena. Data of GSE66271, GSE168845 and GSE105261 were obtained from the GEO database. Differentially expressed genes were screened based on TCGA-KIRC and GSE168845 and the protein-protein interaction network was constructed. The risk regression model was constructed by Lasso regression and the key prognostic genes were obtained by combining immune infiltration and pathway enrichment analysis. Genes and proteins were quantified using RT-qPCR and western blot. MTT assay was used to detect the vitality of cells. Cell apoptosis and cell cycle were detected by flow cytometry. The comet assay was adopted to detect the damage degree of cell DNA.
Results: Six significant DDR-relevant prognostic genes (CCNA2, CDC45, CTLA4, FOXM1, PLK1, and PTTG1) were obtained. A risk model was constructed using Lasso regression, and it was verified in multiple data sets that the renal cell carcinoma group had a higher risk score and was mainly enriched in multiple T cell-related pathways. Immune infiltration results showed that CTLA4 was significantly positively correlated to T cells CD8. Besides, PTTG1 was negatively correlated to T cells CD4 memory resting, but remarkably positively correlated with both T cells CD8 and T cells regulatory. Compared with normal renal proximal tubular epithelial cells, the protein expression of PTTG1 was up-regulated at both mRNA and protein levels in ccRCC tissues. PTTG1could notably promote the proliferation of 786-O cells, and significantly inhibited apoptosis, cycle arrest and DNA damage of 786-O cells.
Conclusion: PTTG1 may play a carcinogenic role by promoting the proliferation of ccRCC cells and inhibiting apoptosis. PTTG1 is expected to become a potential diagnostic and prognostic biomarker as well as an immunotherapy target for ccRCC.
Rolling-crew concurrent vibration platform – vibration characteristics and motion of granular material in the horizontal plane
Authors: Poćwiardowski Wojciech 
Published: April 2024

Abstract
The paper presents the characteristics of the rolling-screw vibration system with two vibrators. Theoretical dependencies for this drive causing circumferential vibrations on the OXY plane and vertical vibrations on the OZ axis were discussed. The phenomenon of self-synchronization occurring in this system has been described. The dependence of the peripheral velocity of the material on the size of the throw was determined. The dynamics of the work of the rolling-screw vibration platform with two vibrators, working in a concurrent system, is influenced by the value of the force forcing the vibrations and the angle of inclination of the vibrators in relation to the horizontal. The obtained results will allow to undertake optimization studies of the operation of the vibrating platform and to find its further applications, which will allow for the full use of the potential of the rolling-screw vibrating device in the industry.
Identification of graphite with perfect rhombohedral stacking by electronic Raman scattering
Authors: Nemes-Incze Péter , Pálinkás András , Márity Krisztián , Kandrai Konrád , Tajkov Zoltán , Gmitra Martin , Vancsó Péter , Tapasztó Levente 
Published: April 2024

Abstract

Rhombohedral graphite (RG) shows strong correlations in its topological flat band and is pivotal for exploring emergent, correlated electronic phenomena. One key advantage is the enhancement of electronic interactions with the increase in the number of rhombohedrally stacked graphene layers. Increasing thickness also leads to an exponential increase in the number of stacking faults, necessitating a precise method to identify flawless rhombohedral stacking. Overcoming this challenge is difficult because the established technique for stacking sequence identification, based on the Raman 2D peak, fails in thick RG samples. We demonstrate that the strong layer dependence of the band structure can be harnessed to identify RG without stacking faults, or alternatively, to detect their presence. For thicknesses ranging from 3 to 12 layers, we show that each perfect RG structure presents distinctive peak positions in electronic Raman scattering (ERS). This measurement can be carried out using a conventional confocal Raman spectrometer at room temperature, using visible excitation wavelengths. Consequently, this overcomes the identification challenge by providing a simple and fast optical measurement technique, thereby helping to establish RG as a platform for studying strong correlations in one of the simplest crystals possible.
CLANet: A Contrastive Learning based Attention Network for Image Forgery Detection
Authors: Guo Ying , Jin Yangqi Jin Yangqi , Tian Chang , Liu Jie 
Published: April 2024

Abstract

Digital image forgery poses a potential security threat to various industries and has attracted widespread attention. Most deep learning-based models for image forgery detection depend on edge artifacts or residual compression traces. These models utilize the adaptability of convolutional neural networks to automatically extract forgery features. However, certain forgery techniques can accurately mimic the features of natural images or alter specific features to mask forgery, thereby making it difficult for the model to accurately detect tampered images. This paper introduces a wider and deeper architecture with dual-stream and multi-scales, and subsequently builds a contrastive learning-based algorithm for detecting image forgery. The algorithm fully utilizes low-level?s details and high-level semantics by a multi-scale attention module, as well as pixel-domain contents and frequency-domain edges by a dual-stream fusion module, to obtain a more comprehensive feature representation. Each image is devoted to learning a more discriminative feature representation via contrastive learning, which is achieved by minimizing the distance between forgery samples and maximizing the distance between forgery and non-forgery samples. Furthermore, this paper proposes a novel approach to addressing overfitting during model training by incorporating a constraint function into the loss function.
Interpolation for neural network operators activated with a generalized logistic-type function
Authors: Uyan Hande , Aslan Abdullah Ozan , Karateke Seda , Büyükyazıcı İbrahim 
Published: April 2024

Abstract
This paper defines a family of neural network interpolation operators. The first derivative of generalized logistic-type functions is considered as an density function. Using the first-order uniform approximation theorem for continuous functions defined on the finite intervals, the interpolation properties of these operators are presented. A Kantorovich-type variant of the operators Fna,ε is also introduced. The approximation of Kantorovich-type operators in LP spaces with 1 ≤ p ≤ ∞ is studied. Further, different combinations of the parameters of our generalized logistic-type activation function θs,a are examined to see which parameter values might give us a more efficient activation function. By choosing suitable parameters for the operator Fna,ε and the Kantorovich variant of the operator Fna,ε, the approximation of various function examples is studied.
Evaluation of the Properties of Fiber-Reinforced Pervious Concrete Pavement Incorporating Glass Powder and Kaolin
Authors: Awolusi Temitope , Aluko Oluwaseun , Oguntayo Daniel , Ajayi Precious , Tohme Christelle , Azab Marc 
Published: April 2024

Introduction
Pervious concrete has been significantly helpful in water quality control and preventing surface runoff through easy infiltration and percolation of water. A developing country such as Nigeria is prone to flooding, and promoting pervious concrete will significantly mitigate this problem. However, structural issues are associated with pervious concrete, such as weak bonds and durability concerns due to the infiltration of deleterious materials.

Methods
The study incorporates glass powder, kaolin and sisal fiber to improve the performance of pervious concrete. Glass powder and Kaolin were incorporated as supplementary cementitious materials at 0, 10, and 20% and sisal fiber-reinforced at 0, 1, and 2%. The pervious concrete mixtures at 28 days were subjected to water absorption, permeable voids, and compressive and split tensile strengths.

Results
The results indicate that the fiber-reinforced pervious concrete with glass powder and Kaolin met the strength requirements. However, the strength resulting from incorporating Kaolin is much higher; hence, Kaolin is preferable in times of strength in fiber-reinforced pervious concrete. Nonetheless, an equal 10%-10% combined use of kaolin and glass powder and 1% sisal fiber proves an alternative to obtaining strength values within ACI specification.

Conclusion
These research findings will enhance the performance of pervious concrete, an eco-friendly and responsible approach to managing rainwater.
The Strategic Effort to Ensure Successful Breastfeeding Practice in the Workplace: An Indonesian Expert Opinion
Authors: Basrowi Ray Wagiu , Darus Febriansyah , Partiwi I Gusti Ayu Nyoman , Sutanto Luciana B. , Sulistomo Astrid , Soemarko Dewi Sumaryani , Wasito Erika , Sundjaya Tonny , Pratiwi Dessy 
Published: April 2024

BackgroundBreastfeeding has benefits for both the child and the mother. However, breastfeeding can be a challenge for working mothers due to inadequate time and space for expressing breastmilk, employer perceptions of reduced productivity, regulations prohibiting children in the workplace, and the lack of childcare close to the workplace.MethodologyThe experts from different backgrounds were invited to provide their views on this matter. This report summarizes the discussion of multidisciplinary experts on the recommendations about breastfeeding practices for mothers and the workplace.ResultsImproving education and knowledge, implementing a lactation promotion model, seeking information, and making plans and arrangements are recommended for successful breastfeeding practices.ConclusionThe aspects of the lactation promotion model can be the key to successful breastfeeding for working mothers.