bluuebunny/crossref_metadata_2025 huggingface dataset:
Astragalin from Thesium chinense: A Novel Anti-Aging and Antioxidant Agent Targeting IGFR/CD38/Sirtuins
Authors: Wang Ruifeng , Ding Anping , Wang Jiaye , Wang Jiaxue , Zhou Yujie , Chen Miao , Ju Shuang , Tan Mingpu , Xiang Zengxu
Published: July 2024

Astragalin (AG), a typical flavonoid found in Thesium chinense Turcz (T. chinense), is abundant in various edible plants and possesses high nutritional value, as well as antioxidant and antibacterial effects. In this study, we initially predicted the mechanism of action of AG with two anti-aging and antioxidant-related protein targets (CD38 and IGFR) by molecular docking and molecular dynamics simulation techniques. Subsequently, we examined the anti-aging effects of AG in Caenorhabditis elegans (C. elegans), the antioxidant effects in zebrafish, and verified the related molecular mechanisms. In C. elegans, AG synergistically extended the lifespan of C. elegans by up-regulating the expression of daf-16 through inhibiting the expression of daf-2/IGFR and also activating the AMPK and MAPK pathways to up-regulate the expression of sir-2.1, sir-2.4, and skn-1. In oxidatively damaged zebrafish embryos, AG demonstrated a synergistic effect in augmenting the resistance of zebrafish embryos to oxidative stress by up-regulating the expression levels of SIRT1 and SIRT6 within the zebrafish embryos system via the suppression of CD38 enzymatic activity and then inhibiting the expression of IGFR through high levels of SIRT6. These findings highlight the antioxidant and anti-aging properties of AG and indicate its potential application as a supplementary ingredient in aquaculture for enhancing fish health and growth.
Poplar Bud (Populus) Extraction and Chinese Propolis Counteract Oxidative Stress in Caenorhabditis elegans via Insulin/IGF-1 Signaling Pathway
Authors: Wang Shuo , Yang Chengchao , Luo Yaling , Chen Qingyi , Xu Mengyang , Ji Yuntao , Jiang Xiasen , Qu Changqing
Published: July 2024

Poplar buds are characterized by a high content of phenolic compounds, which exhibit a broad spectrum of biological activities. However, the relationship between Chinese propolis and poplar buds based on their antioxidant capacities and underlying mechanisms remains unclear. This study aimed to investigate the antioxidant properties of poplar bud (Populus) extract (PBE) and Chinese propolis (CP) and to elucidate the mechanisms behind their activity. High-performance liquid chromatography (HPLC) analysis revealed that both PBE and CP contain a significant amount of phenolic acids and flavonoids. 2,2-diphenyl-1-picrylhydrazyl (DPPH), 2,2′-azino-bis (3-ethylbenzothiazoline-6-sulfonic acid) (ABTS), and ferric-reducing antioxidant power (FRAP) assays demonstrated that PBE and CP possess excellent antioxidant activity. Furthermore, administration of PBE and CP improved the survival rate of C. elegans under oxidative stress. They also decreased the levels of reactive oxygen species (ROS) and malondialdehyde (MDA), while enhancing the activity of antioxidant enzymes (SOD, CAT). PBE and CP intervention upregulated the expression of key genes daf-16, sod-3, hsp-16.2, and skn-1 in nematodes. This suggests that the antioxidant activity of PBE and CP is dependent on daf-16 and skn-1 signaling pathways. In conclusion, poplar bud extracts ha have the potential to become a substitute for propolis and a potential therapeutic agent for treating diseases associated with oxidative damage.
Evaluation of Additive Manufacturing Feasibility in the Energy Sector: A Case Study of a Gas-Insulated High-Voltage Switchgear
Authors: Haghighat Naeini Elham , Sekula Robert
Published: July 2024

In recent years, additive manufacturing (AM) has made considerable progress and has spread in many industries. Despite the advantages of this technology including freedom of design, lead time reduction, material waste reduction, special tools manufacturing elimination, and sustainability, there are still a lot of challenges regarding finding the beneficial application. In this study, the feasibility of replacing traditional manufacturing methods with additive manufacturing in the energy sector is investigated, with a specific focus on gas-insulated high-voltage switchgear (GIS). All aluminum parts in one specific GIS product are analyzed and a decision flowchart is proposed. Using this flowchart, printability and the best AM technique are suggested with respect to part size, required surface roughness, requirements of electrical and mechanical properties, and additional post processes. Simple to medium complexity level of geometry, large size, high requirements for electrical and mechanical properties, threading and sealing, and lack of a standard for printed parts in the high voltage industry make AM a challenging manufacturing technology for this specific product. In total, implementing AM as a short series production method for GIS aluminum parts may not be sufficient because of the higher cost and more complex supply chain management, but it can be beneficial in R&D cases or prototyping scenarios where a limited number of parts are needed in a brief time limit.
Leveraging Blockchain Usage to Enhance Slag Exchange
Authors: Gómez-Goiri Aitor , Gutierrez-Aguero Ivan , Garcia-Estevez David
Published: July 2024

The slag generated as a by-product of the steelmaking process can be used to manufacture cement, reducing the generated waste and contributing to the circular economy. Currently, steelmaking companies promote long-term bilateral deals with one or few cement companies where the price is fixed, and the slag is a treated as commodity. We propose a new solution, which promotes slag reuse through its differentiation with a composition-based grouping and an auction. This process is carried out in a blockchain network, which increases trust in the system, provides guarantees about the slag composition to cement companies and helps external regulators to reliably extract circularity indicators.
Clinical Tolerability and Efficacy Establishment of a New Cosmetic Treatment Regimen Intended for Sensitive Skin
Authors: Vitale María , Truchuelo Maria Teresa , Nobile Vincenzo , Gómez-Sánchez María José
Published: July 2024

Sensitive skin has a great impact on the quality of life of subjects. In this research, we evaluated the efficacy and tolerance of a cosmetic treatment for facial skincare, consisting of a cleanser, serum and cream. A clinical-instrumental study was carried out on 30 healthy female participants with sensitive and reactive skin and slight-to-moderate wrinkles using a new cosmetic regimen based on a new technology. Skin moisturization, skin barrier function, erythema, elasticity and firmness, and wrinkle depth (skin profilometry) were evaluated at basal time (T0), and after 14, 28 and 42 days of treatment (T14, T28 and T42). All the evaluated variables showed significant improvement at T42 when compared to T0. Moisturization, erythema, firmness, and elasticity had significant improvement at T14 and the other attributes after T28 (transepidermal water loss, wrinkle depth). A high level of tolerance and satisfaction reported by subjects were achieved. This treatment regimen combining the cleanser, the daily cream, and the nightly serum, showed a statistically significant improvement in all of the parameters evaluated, demonstrating its effectiveness as an anti-aging regimen while improving the sensitive skin condition. This regimen was well tolerated by all the participants.
Analysis of AC DC Four-Switch Boost-Buck Battery Charger Converter for EV Applications
Authors: Nassary Mahmoud , Vidal-Idiarte Enric , Calvente Javier
Published: July 2024

This paper focuses on the analysis and control strategy of a four-switch boost-buck AC/DC converter utilized in power factor correction applications with a wide output voltage range. Given the increasing importance of electric vehicles and the need for high reliability, this study addresses the internal dynamic stability problem that can arise in the converter system. The analysis begins with a thorough examination of the system’s min-phase characteristic. Despite this, internal dynamic stability issues persist, requiring a solution to ensure a higher power factor and reliability. To address this challenge, this paper proposes the utilization of a damping RC circuit instead of reducing the loop gain bandwidth. To demonstrate the internal dynamic behavior of the converter, small-signal modeling is employed. This modeling highlights the importance of mitigating internal dynamic instability to achieve the desired power factor and reliability. This study emphasizes the significance of proper analysis and control strategies for boost-buck AC/DC converters in power factor correction applications. By addressing internal dynamic stability using a damping RC circuit, the converter can achieve a higher power factor and enhanced reliability, ultimately contributing to the development of more efficient and dependable EV systems. Finally, the feasibility of the proposed analysis and control strategy is confirmed through comprehensive simulations. The simulation results validate the effectiveness of using a damping RC circuit to address the internal dynamic stability problem, leading to an improved power factor and enhanced reliability.
Prediction of Thermal Conductivity of EG–Al2O3 Nanofluids Using Six Supervised Machine Learning Models
Authors: Zhu Tongwei , Mei Xiancheng , Zhang Jiamin , Li Chuanqi
Published: July 2024

Accurate prediction of the thermal conductivity of ethylene glycol (EG) and aluminum oxide (Al2O3) nanofluids is crucial for improving the utilization rate of energy in industries such as electronics cooling, automotive, and renewable energy systems. However, current theoretical models and simulations face challenges in accurately predicting the thermal conductivity of EG–Al2O3 nanofluids due to their complex and dynamic nature. To that end, this study develops several supervised ML models, including artificial neural network (ANN), decision tree (DT), gradient boosting decision tree (GBDT), k-nearest neighbor (KNN), multi-layer perceptron (MLP), and extreme gradient boosting (XGBoost) models, to predict the thermal conductivity of EG–Al2O3 nanofluids. Three key parameters, particle size (D), temperature (T), and volume fraction (VF) of EG–Al2O3 nanoparticles, are considered as input features for modeling. Furthermore, five indices combining with regression graphs and Taylor diagrams are used to evaluate model performance. The evaluation results indicate that the GBDT model achieved the highest performance among all models, with mean squared errors (MSE) of 6.7735 × 10−6 and 1.0859 × 10−5, root mean squared errors (RMSE) of 0.0026 and 0.0033, mean absolute errors (MAE) of 0.0009 and 0.0028, correlation coefficients (R2) of 0.9974 and 0.9958, and mean absolute percent errors (MAPE) of 0.2764% and 0.9695% in the training and testing phases, respectively. Furthermore, the results of sensitivity analysis conducted using Shapley additive explanations (SHAP) demonstrate that T is the most important feature for predicting the thermal conductivity of EG–Al2O3 nanofluids. This study provides a novel calculation model based on artificial intelligence to realize an innovation beyond the traditional measurement of the thermal conductivity of EG–Al2O3 nanofluids.
Improved Similarity Law for Scaling Dynamic Responses of Stiffened Plates with Distorted Stiffener Configurations
Authors: Zhou Hongyu , Okada Tetsuo , Kawamura Yasumi , Wang Deyu , Hayakawa Ginga
Published: July 2024

Experimental analysis on small-scale models is widely used to predict the dynamic responses of full-scale structures subjected to impact loads. However, due to manufacturing constraints, achieving a perfectly scaled model under a large scaling factor is challenging, leading to the use of distorted scaled models as a compromise. This paper introduces an improved similarity law that ensures distorted scaled models accurately replicate the dynamic responses of prototype stiffened plates under impact loads. The proposed similarity law meticulously considers both the distorted attached plate thickness and variations in stiffener configuration. Double input parameters involving the load case and geometry are formulated to govern the dynamic responses of integrated stiffeners. Additionally, an approximate method rooted in elastic–plastic theory is developed to assess the dominant behaviors of stiffened plates during impact. Consequently, the distorted stiffener configuration of scaled models is designed through a methodology primarily centered on capturing dominant behaviors. Comprehensive numerical simulations are conducted to evaluate the behavior of stiffened plates subjected to impact loads. The results compellingly demonstrate that the proposed similarity law adeptly compensates for geometric distortions, ensuring reliable predictions of dynamic responses in distorted scaled models.
CellGAN: Generative Adversarial Networks for Cellular Microscopy Image Recognition with Integrated Feature Completion Mechanism
Authors: Liao Xiangle , Yi Wenlong
Published: July 2024

In response to the challenges of high noise, high adhesion, and a low signal-to-noise ratio in microscopic cell images, as well as the difficulty of existing deep learning models such as UNet, ResUNet, and SwinUNet in segmenting images with clear boundaries and high-resolution, this study proposes a CellGAN semantic segmentation method based on a generative adversarial network with a Feature Completion Mechanism. This method incorporates a Transformer to supplement long-range semantic information. In the self-attention module of the Transformer generator, bilinear interpolation for feature completion is introduced, reducing the computational complexity of self-attention to O(n). Additionally, two-dimensional relative positional encoding is employed in the self-attention mechanism to supplement positional information and facilitate position recovery. Experimental results demonstrate that this method outperforms ResUNet and SwinUNet in segmentation performance on rice leaf cell, MuNuSeg, and Nucleus datasets, achieving up to 23.45% and 19.90% improvements in the Intersection over Union and Similarity metrics, respectively. This method provides an automated and efficient analytical tool for cell biology, enabling more accurate segmentation of cell images, and contributing to a deeper understanding of cellular structure and function.
Remote Sensing Image Change Detection Based on Deep Learning: Multi-Level Feature Cross-Fusion with 3D-Convolutional Neural Networks
Authors: Yu Sibo , Tao Chen , Zhang Guang , Xuan Yubo , Wang Xiaodong
Published: July 2024

Change detection (CD) in high-resolution remote sensing imagery remains challenging due to the complex nature of objects and varying spectral characteristics across different times and locations. Convolutional neural networks (CNNs) have shown promising performance in CD tasks by extracting meaningful semantic features. However, traditional 2D-CNNs may struggle to accurately integrate deep features from multi-temporal images, limiting their ability to improve CD accuracy. This study proposes a Multi-level Feature Cross-Fusion (MFCF) network with 3D-CNNs for remote sensing image change detection. The network aims to effectively extract and fuse deep features from multi-temporal images to identify surface changes. To bridge the semantic gap between high-level and low-level features, a MFCF module is introduced. A channel attention mechanism (CAM) is also integrated to enhance model performance, interpretability, and generalization capabilities. The proposed methodology is validated on the LEVIR construction dataset (LEVIR-CD). The experimental results demonstrate superior performance compared to the current state-of-the-art in evaluation metrics including recall, F1 score, and IOU. The MFCF network, which combines 3D-CNNs and a CAM, effectively utilizes multi-temporal information and deep feature fusion, resulting in precise and reliable change detection in remote sensing imagery. This study significantly contributes to the advancement of change detection methods, facilitating more efficient management and decision making across various domains such as urban planning, natural resource management, and environmental monitoring.
The Improvement in the Floor Impact Noise with Changes in the Glass Transition Temperature of an SBR Latex Mortar
Authors: Haan Chan-Hoon , Lee Won-Hak , Park Chan-Jae
Published: July 2024

It is most effective to reduce floor impact noise as close to the sound source as possible. In apartments, there are multiple layers in the floor system, from floor finishing to the structural concrete slab. Apart from the floor finishing, mortar lies at the top layer of the floor system, followed by autoclaved lightweight concrete, insulation, and the concrete slab. The present study aims to identify the reduction characteristics of light and heavy floor impact noises by changing the glass transition temperature of an SBR (styrene–butadiene rubber) latex mortar. To achieve this, structural tests were undertaken to find the appropriate mix proportions of SBR latex in the mortar, meeting the glass transition temperature based on the physical test results regarding the latex mortar. As seen in the study method and process, because this study aimed to both increase and decrease the strength compared to general mortar, a 7% mixture ratio of Tg 4 °C SBR latex was decided upon for the strength increase, while a 5% mixture ratio of Tg −16 °C SBR latex was chosen for the strength reduction. A mock-up specimen was created using the SBR latex-modified mortar according to the identified mix proportions, and the characteristics of light- and heavy-weight floor impact noises of the SBR latex-modified mortar were then examined. Comprehensive analysis of the reduction performance of the floor impact noise revealed that the Tg −16 °C SBR latex-mixed mortar showed a reduction effect of about 2–5 dB for light-weight impact noise and about 7–10 dB for heavy-weight impact noise.
Exploring the Relationship between Urban Design and Social Capital: A Systematic Quantitative Literature Review
Authors: Cowan Monique , Dupre Karine , Fernando Ruwan
Published: July 2024

The aim of this article is to explore the relationship between urban design and social capital in the existing literature. Through a systematic quantitative literature review (SQLR) approach, this study seeks to offer insights into this relationship, investigating trends and gaps. The review revealed that the relationship is complex and not well defined. It emphasised a consistency across the literature of references to the key historical figures and movements. Two major themes emerged as key topics of interest in the reviewed literature: the built environment outcomes and community participation. The research also revealed that the relationship between urban design and social capital is underexplored, with a lack of contemporary relevant references contributing to this topic. This deficiency results in a body of academic literature that does not fully address or reflect current industry practices and innovations. The review concludes that there is a need to shift focus globally. We need to incorporate multicultural references and case studies to learn from diverse contexts as well as multi-level collaborations between the designer and community to prepare for the different challenges that communities are currently grappling with.
Associate/Dissociate: Allusive and Elusive Care in Veronica Ryan’s Sculpture
Authors: Spencer Catherine
Published: July 2024

Reflecting on the experience of curating Veronica Ryan’s work for the 2021 exhibition Life Support: Forms of Care in Art and Activism at Glasgow Women’s Library, this essay contextualizes the artist’s recent sculptures in relation to the theories, philosophies, and ethics of care that have recently gained increasing prominence in artistic and curatorial practice. Drawing on the philosopher Virginia Held’s understanding of care as inherently intersubjective, it proposes that Ryan’s sculptures model a comparable understanding of caring relations through their associative yet ultimately elusive operations. Ryan is recognized for her use of abstracted organic forms, particularly seeds, pods, husks, and fruits. Since moving to New York from Britain in 1990 and developing a career between the two countries, Ryan has engaged with industrial and mass-produced receptacles, molds, and packing materials, an interest which has expanded to include fishing wire, plastic bottles, and take-away food containers, alongside textiles. Yet, although many of these elements remain identifiable, the resulting works delight in category confusion between organic and prefabricated, instigating uncanny textural effects that engender perceptual uncertainty. Their chains of allusion resist singular, fixed meanings, generating a continual back and forth of association and dissociation that constitutes a sustained meditation on care’s relational complexity.
Integrating NFTs into Feminist Art Practices: Actualizing the Disruptive Potential of Decentralized Technology
Authors: Ponder Natalie
Published: July 2024

The integration of NFT technology into the art market utilizes a two-pronged approach of decentralization and increased accessibility as an equalizing answer to rectify gender discrepancies in the contemporary art world. This is not the first time that technology as an art medium has been used as a feminist tool to disrupt the previously established status quo. Through the exploration of the 1990’s Cyberfeminist Net Art Movement, this article will discuss how female-identifying artists employ technological characteristics such as anonymity and online gender masquerading to answer the exclusionary issues affecting their art practices. Furthermore, it will examine how NFTs work to build upon the previously established revolutionary movement of the 1990s to evolve the contemporary art practices of feminist artists. Additionally, this article will address the impacts of this new digital landscape, where anonymity is preferred and algorithmic ordering is non-existent, as a more pragmatic way of creating, selling, and buying art. Finally, this article will examine how the integration of blockchain technology—entirely machine-operated and free from human manipulation—aims to eliminate the human biases of identifying factors such as gender that can be concealed or fabricated when operating in an online sphere.
Trends in the Use of Air Quality Indexes in Asthma Studies
Authors: Barrera-Heredia Angie Daniela , Zafra-Mejía Carlos Alfonso , Cañas Arboleda Alejandra , Fernández Sánchez María José , López-Kleine Liliana , Rojas Moreno Adriana
Published: July 2024

International air quality indexes (AQIs) are derived from air pollution and are essential global tools for mitigating diseases such as asthma, as they are used to reduce exposure to triggers. The aim of this article is to systematically review the global literature on the use of AQIs in asthma-related studies. To evaluate the importance of the variables considered, a citation frequency index (Q) was used. The results suggest that the most frequently reported air pollutants related to asthma are PM (Q3) > NO2 (Q3) > O3 (Q3) > CO (Q3) > NO (Q3) > SO2 (Q3). In addition, climate variables play a relevant role in asthma research. Temperature (Q4) emerged as the most relevant climate variable, followed by atmospheric pressure (Q3) > wind direction (Q3) > solar radiation (Q3) > precipitation (Q3) > wind speed (Q3). AQIs, specifically the U.S.EPA Air Quality Index and the Air Quality Health Index, are directly associated with air pollution and the prevalence, severity and exacerbation of asthma. The findings also suggest that climate change presents additional challenges in relation to asthma by influencing the environmental conditions that affect the disease. Finally, this study provides a comprehensive view of the relationships among air quality, air pollutants and asthma and highlights the need for further research in this field to develop public health policies and environmental regulations.
Integrable Couplings and Two-Dimensional Unital Algebras
Authors: Ma Wen-Xiu
Published: July 2024

The paper aims to demonstrate that a linear expansion in a unital two-dimensional algebra can generate integrable couplings, proposing a novel approach for their construction. The integrable couplings presented encompass a range of perturbation equations and nonlinear integrable couplings. Their corresponding Lax pairs and hereditary recursion operators are explicitly detailed. Concrete applications to the KdV equation and the AKNS system of nonlinear Schrödinger equations are extensively explored.
Topological Degree via a Degree of Nondensifiability and Applications
Authors: Ouahab Noureddine , Nieto Juan J. , Ouahab Abdelghani
Published: July 2024

The goal of this work is to introduce the notion of topological degree via the principle of the degree of nondensifiability (DND for short). We establish some new fixed point theorems, concerning, Schaefer’s fixed point theorem and the nonlinear alternative of Leray–Schauder type. As applications, we study the existence of mild solution of functional semilinear integro-differential equations.
Some Statistical and Direct Approximation Properties for a New Form of the Generalization of q-Bernstein Operators with the Parameter λ
Authors: Su Lian-Ta , Kangal Esma , Kantar Ülkü Dinlemez , Cai Qing-Bo
Published: July 2024

In this study, a different generalization of q-Bernstein operators with the parameter λ∈[−1,1] is created. The moments and central moments of these operators are calculated, a statistical approximation result for this new type of (λ,q)-Bernstein operators is obtained, and the convergence properties are analyzed using the Peetre K-functional and the modulus of continuity for this new operator. Finally, a numerical example is given to illustrate the convergence behavior of the newly defined operators.
Uncertainty Quantification in SAR Induced by Ultra-High-Field MRI RF Coil via High-Dimensional Model Representation
Authors: Wang Xi , Huang Shao Ying , Yucel Abdulkadir C.
Published: July 2024

As magnetic field strength in Magnetic Resonance Imaging (MRI) technology increases, maintaining the specific absorption rate (SAR) within safe limits across human head tissues becomes challenging due to the formation of standing waves at a shortened wavelength. Compounding this challenge is the uncertainty in the dielectric properties of head tissues, which notably affects the SAR induced by the radiofrequency (RF) coils in an ultra-high-field (UHF) MRI system. To this end, this study introduces a computational framework to quantify the impacts of uncertainties in head tissues’ dielectric properties on the induced SAR. The framework employs a surrogate model-assisted Monte Carlo (MC) technique, efficiently generating surrogate models of MRI observables (electric fields and SAR) and utilizing them to compute SAR statistics. Particularly, the framework leverages a high-dimensional model representation technique, which constructs the surrogate models of the MRI observables via univariate and bivariate component functions, approximated through generalized polynomial chaos expansions. The numerical results demonstrate the efficiency of the proposed technique, requiring significantly fewer deterministic simulations compared with traditional MC methods and other surrogate model-assisted MC techniques utilizing machine learning algorithms, all while maintaining high accuracy in SAR statistics. Specifically, the proposed framework constructs surrogate models of a local SAR with an average relative error of 0.28% using 289 simulations, outperforming the machine learning-based surrogate modeling techniques considered in this study. Furthermore, the SAR statistics obtained by the proposed framework reveal fluctuations of up to 30% in SAR values within specific head regions. These findings highlight the critical importance of considering dielectric property uncertainties to ensure MRI safety, particularly in 7 T MRI systems.
The Low Survivability of Transplanted Gonadal Grafts: The Impact of Cryopreservation and Transplantation Conditions on Mitochondrial Function
Authors: Moniz Inês , Soares Maria , Sousa Ana Paula , Ramalho-Santos João , Branco Ana
Published: July 2024

Advances in tissue preservation techniques have allowed reproductive medicine and assisted reproductive technologies (ARTs) to flourish in recent years. Because radio- and chemotherapy procedures are often gonadotoxic, irreversible damage can preclude future gamete production and endocrine support. Accordingly, in recent years, the freezing and storage of gonadal tissue fragments prior to the first oncological treatment appointment and autologous transplantation post-recovery have been considered improved solutions for fertility recovery in cancer survivors. Nevertheless, the cryopreservation and transplantation of thawed tissues is still very limited, and positive outcomes are relatively low. This review aims to discuss the limitations of oncofertility protocols with a focus on the impacts of mitochondrial dysfunction, oxidative stress, and the loss of antioxidant defense in graft integrity.
The Therapeutic Potential of Dalbergia pinnata (Lour.) Prain Essential Oil in Alzheimer’s Disease: EEG Signal Analysis In Vivo, SH-SY5Y Cell Model In Vitro, and Network Pharmacology
Authors: Qin Sheng , Fang Jiayi , He Xin , Yu Genfa , Yi Fengping , Zhu Guangyong
Published: July 2024

Alzheimer’s disease (AD) is a neurodegenerative disorder that is projected by the WHO to affect over 100 million people by 2050. Clinically, AD patients undergoing long-term antipsychotic treatment often experience severe anxiety or depression in later stages. Furthermore, early-stage AD manifests with weakened α waves in the brain, progressing to diminished α and β waves in late-stage disease, reflecting changes in emotional states and disease progression. In this study, EEG signal analysis revealed that inhalation of Dalbergia pinnata (Lour.) Prain essential oil (DPEO) enhanced δ, θ, α and β wave powers in the frontal and parietal lobes, with a rising trend in the β/α ratio in the temporal lobe. These findings suggest an alleviation of anxiety and an enhancement of cognitive functions. Treatment of the AD SH-SY5Y (human neuroblastoma cells) cell model with DPEO resulted in decreased intracellular levels of Aβ, GSK-3β, P-Tau, IL-1β, TNF-α, IL-6, COX-2, OFR, and HFR, alongside reduced AchE and BchE activities and increased SOD activity. Network pharmacology analysis indicated a potential pharmacological mechanism involving the JAK-STAT pathway. Our study provides evidence supporting DPEO’s role in modulating anxiety and slowing AD pathological progression.
Comprehensive Review on Bimolecular Fluorescence Complementation and Its Application in Deciphering Protein–Protein Interactions in Cell Signaling Pathways
Authors: Ren Houming , Ou Qingshan , Pu Qian , Lou Yuqi , Yang Xiaolin , Han Yujiao , Liu Shiping
Published: July 2024

Signaling pathways are responsible for transmitting information between cells and regulating cell growth, differentiation, and death. Proteins in cells form complexes by interacting with each other through specific structural domains, playing a crucial role in various biological functions and cell signaling pathways. Protein–protein interactions (PPIs) within cell signaling pathways are essential for signal transmission and regulation. The spatiotemporal features of PPIs in signaling pathways are crucial for comprehending the regulatory mechanisms of signal transduction. Bimolecular fluorescence complementation (BiFC) is one kind of imaging tool for the direct visualization of PPIs in living cells and has been widely utilized to uncover novel PPIs in various organisms. BiFC demonstrates significant potential for application in various areas of biological research, drug development, disease diagnosis and treatment, and other related fields. This review systematically summarizes and analyzes the technical advancement of BiFC and its utilization in elucidating PPIs within established cell signaling pathways, including TOR, PI3K/Akt, Wnt/β-catenin, NF-κB, and MAPK. Additionally, it explores the application of this technology in revealing PPIs within the plant hormone signaling pathways of ethylene, auxin, Gibberellin, and abscisic acid. Using BiFC in conjunction with CRISPR-Cas9, live-cell imaging, and ultra-high-resolution microscopy will enhance our comprehension of PPIs in cell signaling pathways.
Cardiomyopathy and Sudden Cardiac Death: Bridging Clinical Practice with Cutting-Edge Research
Authors: Mistrulli Raffaella , Ferrera Armando , Salerno Luigi , Vannini Federico , Guida Leonardo , Corradetti Sara , Addeo Lucio , Valcher Stefano , Di Gioia Giuseppe , Spera Francesco Raffaele , Tocci Giuliano , Barbato Emanuele
Published: July 2024

Sudden cardiac death (SCD) prevention in cardiomyopathies such as hypertrophic (HCM), dilated (DCM), non-dilated left ventricular (NDLCM), and arrhythmogenic right ventricular cardiomyopathy (ARVC) remains a crucial but complex clinical challenge, especially among younger populations. Accurate risk stratification is hampered by the variability in phenotypic expression and genetic heterogeneity inherent in these conditions. This article explores the multifaceted strategies for preventing SCD across a spectrum of cardiomyopathies and emphasizes the integration of clinical evaluations, genetic insights, and advanced imaging techniques such as cardiac magnetic resonance (CMR) in assessing SCD risks. Advanced imaging, particularly CMR, not only enhances our understanding of myocardial architecture but also serves as a cornerstone for identifying at-risk patients. The integration of new research findings with current practices is essential for advancing patient care and improving survival rates among those at the highest risk of SCD. This review calls for ongoing research to refine risk stratification models and enhance the predictive accuracy of both clinical and imaging techniques in the management of cardiomyopathies.
Impact of Diabetes Mellitus on Outcomes in Patients with Left Ventricular Assist Devices
Authors: Crugnola William , Cinquina Andrew , Mattimore Daniel , Bitzas Savannah , Schwartz Jonathon , Zaidi Saleem , Bergese Sergio D.
Published: July 2024

Heart failure (HF) represents a significant health burden in the United States, resulting in substantial mortality and healthcare costs. Through the array of treatment options available, including lifestyle modifications, medications, and implantable devices, HF management has evolved. Left ventricular assist devices (LVADs) have emerged as a crucial intervention, particularly in patients with advanced HF. However, the prevalence of comorbidities such as diabetes mellitus (DM) complicates treatment outcomes. By elucidating the impact of DM on LVAD outcomes, this review aims to inform clinical practice and enhance patient care strategies for individuals undergoing LVAD therapy. Patients with DM have higher rates of hypertension, dyslipidemia, peripheral vascular disease, and renal dysfunction, posing challenges to LVAD management. The macro/microvascular changes that occur in DM can lead to cardiomyopathy and HF. Glycemic control post LVAD implantation is a critical factor affecting patient outcomes. The recent literature has shown significant decreases in hemoglobin A1c following LVAD implantation, representing a possible bidirectional relationship between DM and LVADs; however, the clinical significance of this decrease is unclear. Furthermore, while some studies show increased short- and long-term mortality in patients with DM after LVAD implantation, there still is no literature consensus regarding either mortality or major adverse outcomes in DM patients.
Drug Repurposing for Amyotrophic Lateral Sclerosis Based on Gene Expression Similarity and Structural Similarity: A Cheminformatics, Genomic and Network-Based Analysis
Authors: Kadena Katerina , Ouzounoglou Eleftherios
Published: July 2024

Background: Amyotrophic Lateral Sclerosis (ALS) is a devastating neurological disorder with increasing prevalence rates. Currently, only 8 FDA-approved drugs and 44 clinical trials exist for ALS treatment specifying the lacuna in disease-specific treatment. Drug repurposing, an alternative approach, is gaining huge importance. This study aims to identify potential repurposable compounds using gene expression analysis and structural similarity approaches. Methods: GSE833 and GSE3307 were analysed to retrieve Differentially Expressed Genes (DEGs) which were utilized to identify compounds reversing the gene signatures from LINCS. SMILES of ALS-specific FDA-approved and clinical trial compounds were used to retrieve structurally similar drugs from DrugBank. Drug-Target-Network (DTN) was constructed for the identified compounds to retrieve drug targets which were further subjected to functional enrichment analysis. Results: GSE833 retrieved 13 & 5 whereas GSE3307 retrieved 280 & 430 significant upregulated and downregulated DEGs respectively. Gene expression similarity identified 213 approved drugs. Structural similarity analysis of 44 compounds resulted in 411 approved and investigational compounds. DTN was constructed for 266 compounds to identify drug targets. Functional enrichment analysis resulted in neuroinflammatory response, cAMP signaling, PI3K-AKT signaling, and oxidative stress pathways. A preliminary relevancy check identified previous association of 105 compounds in ALS research, validating the approach, with 172 potential repurposable compounds.
Strategies for the Design and Construction of Nature-Inspired & Living Laboratory (NILL 1.0)TM Buildings
Authors: AlAli Mariam , Beheiry Salwa , Atabay Serter
Published: July 2024

This article explores the growing prominence of nature-inspired design philosophies in the context of sustainability and human well-being within the built environment and focuses on their application within laboratory buildings. Biomimicry and biophilic design are highlighted as key nature-inspired design approaches, with biomimicry drawing inspiration from nature for innovations and biophilic design promoting human health through enhancing the connection with the surrounding natural elements. This paper further discusses living building strategy as an emerging method for creating dynamic and adaptable spaces by prioritizing user experience through co-creation and focusing on sustainable and regenerative structures. The potential of integrating these approaches is emphasized using laboratory buildings as an example, with nature-inspired and living laboratories serving as models for future built environments that promote both environmental responsibility and a positive human experience. Accordingly, this work aims to investigate the design and construction of laboratory buildings based on nature-inspired design strategies and the living building concept. Moreover, the paper discusses the application of biomimicry and living building concepts within laboratory buildings as a novel contribution to the body of knowledge, and concludes by proposing the Nature-inspired & Living Laboratory (NILL 1.0)TM Building Assessment index to serve as a guideline for the design and construction of laboratory buildings using nature as an inspiration and the analogy of human body systems.
Exploring the Acute Effects of Immersive Virtual Reality Biking on Self-Efficacy and Attention of Individuals in the Treatment of Substance Use Disorders: A Feasibility Study
Authors: Touloudi Evlalia , Hassandra Mary , Stavrou Vasileios T. , Panagiotounis Fotis , Galanis Evangelos , Goudas Marios , Theodorakis Yannis
Published: July 2024

Background: The role of exercise programs during substance use disorder (SUD) treatment is considered particularly supportive in fostering positive psychological and behavioral changes. The treatment of SUD is a challenging and demanding process. Therefore, it is crucial to discover innovative methods to enhance and facilitate it. Integrating exercise into a virtual environment is an innovative approach for drug rehabilitation, offering multiple benefits to individuals undergoing treatment. The aim of this feasibility study was to explore the acute effects of cycling exercise in an immersive virtual reality (VR) environment on attentional control and self-efficacy expectations of individuals undergoing SUD treatment. Methods: A total of 20 individuals (mean age of 37.75 years) enrolled in a SUD treatment program participated in the study. They were instructed to complete a single session of cycling with a self-selected duration within the VR system. Results: Following the cycling session, pre-post measures indicated a statistically significant improvement in self-efficacy expectations and attentional control measured with the Stroop test. The results revealed that participants expressed high levels of intention for future use, interest/enjoyment, and positive attitudes toward the VR exercise system. Qualitative data indicated that participants found the VR exercise system enjoyable, expressed a strong intention to use it, and did not encounter technical difficulties or negative emotions. Conclusions: In conclusion, it seems that engaging in a brief period of self-selected exercise within a virtual environment can result in temporary activation of cognitive changes, heightened self-efficacy expectations, and a motivating approach to increasing physical activity participation among individuals with SUD, thus suggesting the feasibility of this approach.
Callous–Unemotional Traits and Conduct Problems in Children: The Role of Strength and Positive Characteristics
Authors: Figueiredo Patrícia , Azeredo Andreia , Barroso Ricardo , Barbosa Fernando
Published: July 2024

In recent decades, many researchers have focused on the development of Conduct Problems from childhood to adolescence. Understanding behavior problems also requires an understanding of well-regulated characteristics. Focusing our assessment on strengths makes it possible, on the one hand, to help children or adolescents with deficits in important areas (e.g., socio-emotional deficits) to develop emotional regulation skills and adapt their responses to different contexts. This study aims to understand the role of self-competence, self-regulation, empathy, and responsibility (strength variables) in the relationship between Callous Unemotional characteristics and Conduct Problems, with a sample of 236 children aged between 3 and 10 years (M = 7.51, SD = 1.63), through mediation analysis. In general, our findings suggest that self-regulation significantly explains the relationship between the callous dimension of the Inventory of Callous–Unemotional Traits and Conduct Problems, pointing out that this strength variable seems to act as a protective factor against the development of behavior problems. No other mediation effects were found, and these results are considered in light of some limitations.
Chemotherapy-Induced Peripheral Neuropathy (CIPN): A Narrative Review and Proposed Theoretical Model
Authors: Lee Kimberley T. , Bulls Hailey W. , Hoogland Aasha I. , James Brian W. , Colon-Echevarria Claudia B. , Jim Heather S. L.
Published: July 2024

Background: Chemotherapy-induced peripheral neuropathy (CIPN) is a common and debilitating symptom experienced by cancer survivors. Despite the burden of CIPN-related symptoms, interventions remain limited. Objectives: This narrative review seeks to propose a framework for CIPN predisposing, precipitating, and perpetuating factors (3Ps), which will provide a foundation for future research and clinical interventions aimed at mitigating CIPN-related symptoms and morbidity. Methods: A comprehensive literature search was performed using PubMed, guided by keywords related to “chemotherapy-induced peripheral neuropathy.” Studies were limited to those with full text available in English. Results: Predisposing factors outlined in this framework, such as older age and comorbid conditions, can be used to identify patients who have a higher risk of developing CIPN. The major precipitating factor of CIPN is the delivery of chemotherapy to peripheral nerves, which may be mitigated via cryotherapy or compression therapy during chemotherapy. Perpetuating factors can offer insight into psychological, cognitive, and behavioral modifications that could be treatment targets for CIPN management. Conclusion: The proposed 3P model can guide the development of effective interventions for CIPN by suggesting modifiable psychological and behavioral treatment targets that may mitigate the impact of CIPN for cancer patients.
The Importance of Extracellular Vesicle Screening in Gastric Cancer: A 2024 Update
Authors: Bintintan Vasile , Burz Claudia , Pintea Irena , Muntean Adriana , Deleanu Diana , Lupan Iulia , Samasca Gabriel
Published: July 2024

Extracellular vesicles, or EVs, are membrane-bound nanocompartments produced by tumor cells. EVs carry proteins and nucleic acids from host cells to target cells, where they can transfer lipids, proteomes, and genetic material to change the function of target cells. EVs serve as reservoirs for mobile cellular signals. The collection of EVs using less invasive processes has piqued the interest of many researchers. Exosomes carry substances that can suppress the immune system. If the results of exosome screening are negative, immunotherapy will be beneficial for GC patients. In this study, we provide an update on EVs and GC based on ongoing review papers and clinical trials.
SerpinB3: A Multifaceted Player in Health and Disease—Review and Future Perspectives
Authors: Cagnin Silvia , Pontisso Patrizia , Martini Andrea
Published: July 2024

SerpinB3, a member of the serine-protease inhibitor family, has emerged as a crucial player in various physiological and pathological processes. Initially identified as an oncogenic factor in squamous cell carcinomas, SerpinB3’s intricate involvement extends from fibrosis progression and cancer to cell protection in acute oxidative stress conditions. This review explores the multifaceted roles of SerpinB3, focusing on its implications in fibrosis, metabolic syndrome, carcinogenesis and immune system impairment. Furthermore, its involvement in tissue protection from oxidative stress and wound healing underscores its potential as diagnostic and therapeutic tool. Recent studies have described the therapeutic potential of targeting SerpinB3 through its upstream regulators, offering novel strategies for cancer treatment development. Overall, this review underscores the importance of further research to fully elucidate the mechanisms of action of SerpinB3 and to exploit its therapeutic potential across various medical conditions.
Methanol to Aromatics on Hybrid Structure Zeolite Catalysts
Authors: Magomedova Maria V. , Galanova Ekaterina G. , Starozhitskaya Anastasia V. , Afokin Mikhail I. , Matevosyan David V. , Egazaryants Sergey V. , Tsaplin Dmitry E. , Maximov Anton L.
Published: July 2024

A study on the reaction of methanol to aromatic hydrocarbons using catalysts based on hybrid zeolites MFI-MEL, MFI-MTW, and MFI-MCM-41 at a temperature of 340 °C and a pressure of 10.0 MPa was carried out. It is shown that in the synthesis of hydrocarbons under pressure, the activity of the studied samples is similar and does not have a linear correlation with their total acidity. It was found that the catalyst’s activity is primarily determined by the rate of the initial methanol conversion reaction, which is related to the volume of micropores—more micropores lead to higher activity. Additionally, increasing the volume of mesopores results in the formation of heavier aromatic compounds, specifically C10–C11.