bluuebunny/crossref_metadata_2025_split huggingface dataset:
Silver nanoparticles loaded with Origanum majorana leaves extracts attenuates the vascular endothelial cell senescence by inhibiting inflammation and oxidative stress
Authors: Alotaibi Asdaf , Salamatullah Ahmad M , Pandurangan Subash-Babu , Hayat Khizar , Alhussain Maha , Alkaltham Mohammed , Ahamad Syed Rizwan , Alyahya Heba Khalil , Alanazi Ibrahim 
Published: May 2024

Abstract

Background
Aging is thought to be associated with vascular endothelial cell dysfunction or senescence upon oxidative stress. Hence, the need of therapeutic agent to protect cells from oxidative stress intracellularly without functional loss also with high bioavailability is the biggest challenge.
Methods
In the present study, we used AgNO3 serving as reducing and capping agents to synthesis silver nanoparticles (Ag-NPs) using commonly used aromatic plant (Mentha piperita, Mentha longifolia and Origanum majorana) extracts. The identification of phytochemical was carried out by Gas chromatography-Mass spectrometry (GC-MS). The analytical techniques including UV–vis absorption spectroscopy confirmed the formation of silver nanoparticles. FT-IR, identified the capping and reduction processes of functional groups in the Ag-NPs. SEM (Scanning electron microscopy), confirmed the uniform shape and size of the synthesized Ag-NPs.
Results
We found Origanum majorana (OM) effectively reduced with Ag-NPs and exhibited better nanoparticle-formation than the rest of the samples. Further, 2 mg/mL concentration of OM-Ag-NPs, the PDI results yielded evidence of good stability and dispersion. In addition, both the extracts and their corresponding Ag-NPs utilized to assesss their protective and beneficial effects on oxidative stress-induced HUVECs, which include nuclear damage, morphological changes associated with apoptosis, and alterations in gene expression levels. OM and its nanoparticles treated to HUVECs for 48 h increased vascular cells proliferation confirmed in MTT assay, observed with normal morphology, and mRNA expression levels confirmed the decrease of lipid peroxides (LPO), increasing antioxidants (SOD, GSK-3β, and GPx), increasing oxidative phosphorylating (CYP1a), and decreasing Tumor suppression (p53).
Conclusion
OM and its nanoparticles are considered to be beneficial for the prevention of H2O2 induced oxidative stress, it may be a promising preventive agent for endothelial cell senescence and aging.
Mitigation of aging-related plasticity decline through taurine supplementation and environmental enrichment
Authors: Gawryluk Aleksandra , Cybulska-Klosowicz Anita , Charzynska Agata , Zakrzewska Renata , Sobolewska Alicja , Kossut Malgorzata , Liguz-Lecznar Monika 
Published: May 2024

Abstract

Aging-related biochemical changes in nerve cells lead to dysfunctional synapses and disrupted neuronal circuits, ultimately affecting vital processes such as brain plasticity, learning, and memory. The imbalance between excitation and inhibition in synaptic function during aging contributes to cognitive impairment, emphasizing the importance of compensatory mechanisms. Fear conditioning-related plasticity of somatosensory barrel cortex, relying on the proper functioning and extensive upregulation of GABAergic system, in particular interneurons containing somatostatin, is compromised in aging (one-year-old) mice. The present research explores two potential interventions, taurine supplementation and environmental enrichment, revealing their effectiveness in supporting learning-induced plasticity in the aging mouse brain. They do not act through a mechanism normalizing the Glutamate/GABA balance that is disrupted in aging, but they do allow for increase in somatostatin levels, an effect observed in young animals after learning. These findings highlight the potential of lifestyle interventions and diet supplementation to mitigate age-related cognitive decline by promoting experience-dependent plasticity.
Interaction of 5-fluorouracil on the surface of graphene oxide nanosheet: Stability and electronic properties
Authors: Sari Fathah Dian , Lukmantoro Arif , Wahid Rahmat A Hi , Absor Moh. Adhib Ulil 
Published: May 2024

Abstract

Understanding the interaction mechanism of the drug molecules on the nanostructured material's surface is crucial for the development of effective drug delivery systems. Motivated by the recent studies of the possible use of a carbon-based nanomaterial as a drug delivery substrate for the anticancer drug 5-fluorouracil (5FU) molecule, we systematically investigate the structural stability and electronic properties of the adsorption interaction of the 5FU molecule on the graphene oxide nanosheet (GON) surface by using density-functional theory (DFT) calculations. The optimized structural geometry, energetic and thermal stability, dipole moment, and charge transfer of the 5FU molecules adsorption on the GON surface were determined, while the electronic properties including band structures, density of states, wave functions, and electronic charge density were analyzed. We find that both the surface epoxy or hydroxyl groups of the GON can promote the adsorption of 5FU molecules on the surface, while the enhancement of the adsorption energy for the hydroxyl groups is greater than that for the epoxy groups on the surface. This phenomenon significantly alters electronic states from semiconductor to metallic via rehybridization orbitals mediated by oxygen functional groups. Therefore, our findings suggest that GON surfaces could serve as promising platforms for delivering the anticancer drug 5FU.
Enhanced Vibration Measurement through Frequency Modulated Laser Diode Self-Mixing Interferometry
Authors: Liao Jiung-Ran , Chen Chien-Ming , Hsiao Vincent K.S. 
Published: May 2024

Abstract

Self-mixing interference (SMI) has emerged as a powerful non-contact vibration sensing technique, leveraging the inherent coupling between laser emission and external optical feedback. However, conventional SMI systems often face limitations in signal resolution and measurement accuracy, particularly when probing low-amplitude vibrations or low-reflectivity targets. This study proposes a novel frequency modulation (FM) approach, FM-SMI, to enhance the capabilities of SMI setups. By intentionally modulating the laser frequency of 20 kHz, the FM-SMI technique induces a segmentation of the interference signal, effectively increasing the temporal resolution and facilitating the detection of finer vibration details. Comprehensive experiments involving oscillating speakers and rotating silicon wafers validate the superior performance of the FM-SMI system. Notably, the frequency-modulated signals exhibit stability and robustness, even under low-amplitude vibration conditions or when targeting low-reflectivity surfaces. The enhanced signal quality, coupled with numerical processing techniques, enables precise extraction of vibration characteristics, including amplitude variations and surface topographies. The proposed FM-SMI approach demonstrates its potential as a versatile tool for high-precision, non-contact vibration measurements across diverse applications, such as, non-destructive testing and the characterization of vibration induced by the rotational systems.
Distribution and Risk Assessment of Heavy Metals in the Wetlands in the Upper, Middle, and Lower Reaches of the Yellow River Basin: A Study Focusing on the Yellow River Delta, Henan Section and Ningxia Section
Authors: Zhou Yiqiao , Li Shuo , Yang Fan , Guan Qingsong , Zhang Ning 
Published: May 2024

Abstract

Wetlands serve as significant sinks and sources of heavy metals. In this study, surface soil samples (0–25 cm) were collected from 15 sampling sites across the wetlands on the Ningxia, Henan,and the delta wetlands reaches to investigate the contents, distributions, and ecologic risks of heavy metals such as As and Cd in the wetland sediments in the Yellow River. The results revealed that the wetland soils in the upper and lower reaches were alkalineand more conducive to heavy metal enrichment. There was no significant spatial distribution pattern of the heavy metals across the wetlands in the Yellow River.The contents of the heavy metals decreased with increasing soil depth vertical profile each sampling sites. Geoaccumulation index (Igeo) analysis revealed that heavy metals had a negative Igeo value at each sampling site, expect for the following metals and sampling sites: in the Tianhe Bay wetland, the Igeo values for Cd, Mn, and Ni were 0.71, 0.17, and 0.04, respectively; in the middle reaches, the Igeo value for Cd was 0.28; and in the lower reaches, the Igeo value for Sb in the delta wetlands was 0.21.Pollution load index analysis and enrichment factor (EF) analysis revealed the occurrence of severe Cd contamination in the Ningxia, with an EF of greater than 3, indicating a high degree of anthropogenic impact. There was a strong correlation (correlation coefficient > 0.8) among the various heavy metals in the wetlands in both the Ningxia and delta wetlands, suggesting a common source for these elements.
Magnetic solid-phase extraction of Sudan dyes from beverage using polydopamine-coated magnetite/silica materials
Authors: Guo Yugao , Niu Xiaoxiao , Li Boyu , Liu Pei , Sun Youqing , Lu Sumin 
Published: May 2024

Abstract

In this work, a kind of polydopamine-coated magnetite/silica material (Fe3O4@SiO2/PDA) as adsorbents was successfully synthesized and characterized by FT-IR, XRD, and XPS. Based on the above-mentioned adsorbents, a rapid, simple, and efficacious electromagnet-magnetic solid phase extraction (EM-MSPE) was reported and applied to the extraction and determination of Sudan dyes (Sudan I, Sudan II, Sudan III, and Sudan IV included) in the beverage samples. Meanwhile, four Sudanese dyes were separated and determined by high-performance liquid chromatography (HPLC). Significant parameters including adsorbent dosage, pH, inorganic salt concentration, adsorption time, voltage, type, eluent volume and desorption time were investigated and optimized. A good linearity (R2>0.999) with linear range of 5-1000 μg L-1 and the limit of detection (LOD) in the range of 0.11-0.17 μg L-1 were obtained under the optimum experimental conditions. The recoveries of Sudan dyes ranged from 89.1%-101.9%, with the relative standard deviation (RSD) ranging from 0.3% to 3.6% in the analysis of real samples and there was no significant decrease in the extraction recoveries of Sudan dyes after ten uses of Fe3O4@SiO2/PDA. These results illustrated that the present method is effective and accurate with excellent reproducibility for the Sudan dyes in the beverage samples.
Mixed Reality Training for Medical First Responders: System Evaluation and Recommendations
Authors: Zechner Olivia , Uhl Jakob , Baetzner Anke , Birrenbach Tanja , Egger-Lampl Sebastian , Schrom-Feiertag Helmut , Tscheligi Manfred 
Published: May 2024

Abstract

Purpose: This study assesses the integration of Mixed Reality (MR) technologies in medical first responder (MFR) training, focusing on identifying key factors influencing behavioral intention to use MR systems and practical implications for technology acceptance and enhanced realism through haptic feedback.
Methods: Through a User-Centered Design approach, involving co-creation workshops, iterative development, and evaluations in pilot and field trials across six countries, this study evaluated technology acceptance, presence, user experience, and workload among MFRs. Both quantitative measures and qualitative feedback were collected to analyze the determinants of technology acceptance and user engagement.
Results: The MED1stMR Training System, developed as a result, demonstrates that performance expectancy, effort expectancy, and social presence are significant predictors of behavioral intention to use MR training systems among MFRs. High technology acceptance and positive user experience were reported, with specific emphasis on the educational value of haptic feedback in skill training. Trainer feedback highlighted the importance of real-time performance metrics and openness to AI-driven training assistance for enhancing training outcomes.
Conclusion: The study underscores the critical role of realistic patient interaction and the importance of aligning training challenges with users' skills to create engaging MR training environments for MFRs. Identifying factors influencing behavioral intention offers valuable insights for the development of MR training systems, suggesting a focus on social presence and interactive capabilities to improve realism and educational value. The findings advocate for the integration of adaptive training features and further exploration of AI support in scenario optimization and performance enhancement.
Sleep-wake body temperature regulates tau secretion in mice and correlates with CSF and plasma tau in humans
Authors: Canet* Geoffrey , Monteiro Felipe Da Gama , Rocaboy Emma , Diego-Diaz Sofia , Khelaifia Boutheyna , Kim Jessica , Valencia Daphne I. , Yin Audrey , Wu Hau-Tieng , Howell Jordan , Blank Emily , Laliberté Francis , Fortin Nadia , Boscher Emmanuelle , Fereydouni-Forouzandeh Parissa , Champagne Stéphanie , Guisle Isabelle , Hébert Sébastien S. , Pernet Vincent , Liu Haiyan , Lu William , Debure Ludovic , Rapoport David M. , Ayappa Indu , Varga Andrew W. , Parekh Ankit , Osorio Ricardo S. , Lacroix Steve , Lucey Brendan P. , Blessing* Esther M. , Planel* Emmanuel 
Published: May 2024

Abstract

The sleep-wake cycle regulates interstitial fluid and cerebrospinal fluid (CSF) tau levels in both mouse and human by mechanisms that remain unestablished. Here, we reveal a novel pathway by which wakefulness increases extracellular tau levels in mouse and humans. In mice, higher body temperature (BT) associated with wakefulness and sleep deprivation increased CSF tau. In vitro, wakefulness temperatures upregulated tau secretion via a temperature-dependent increase in activity and expression of unconventional protein secretion pathway-1 components, namely caspase-3-mediated C-terminal cleavage of tau (TauC3), and membrane expression of PIP2 and syndecan-3. In humans, the increase in both CSF and plasma tau levels observed post-wakefulness correlated with BT increase during wakefulness. Our findings suggest sleep-wake variation in BT may contribute to regulating extracellular tau levels, highlighting the importance of thermoregulation in pathways linking sleep disturbance to neurodegeneration, and the potential for thermal intervention to prevent or delay tau-mediated neurodegeneration.

*Geoffrey Canet, Esther M. Blessing, and Emmanuel Planel contributed equally to this work.
Utilizing Pretrained Models to Enhance Hybrid Neural Networks in Low Data Situations
Authors: Borah Rima Lalung , Nandi Gypsy 
Published: May 2024

Abstract

Marine ecosystems are vital to the survival of life on Earth, but they are difficult to monitor and comprehend due to their complexity. Evaluating biodiversity and ecological health is hampered by the labor-intensive and scope-restricted nature of traditional observation techniques. We use deep learning and computer vision technologies to analyze underwater imagery taken by remote vehicles in order to overcome these limitations. To accurately identify marine organisms, we systematically evaluate five state-of-the-art neural network architectures: ResNet50V2, ResNet152V2, InceptionV3, Xception, and MobileNetV2. In addition, we suggest a novel hybrid ensemble method that improves detection robustness and accuracy by combining predictions from several models. Our research offers promising new directions for marine management and conservation efforts as it signifies a major breakthrough in automated sea animal detection.
Enhancing Prospective Teachers' Abilities for Supporting Student Reasoning on Quadratic Functions
Authors: Abdelmalak Mariam 
Published: May 2024

Abstract

The purpose of this study was to investigate whether a TMSSR (Teacher Moves for Supporting Student Reasoning)-based intervention could enhance prospective middle school teachers' abilities for supporting student reasoning on quadratic functions. Participants (N = 17) engaged with quadratic functions, practiced the TMSSR framework through scriptwriting assignments, received feedback and revised their scripts, compared and contrasted scenarios, and discussed ways to achieve high-potential moves during the intervention. Data sources included participants' pre/post scriptwriting tasks along with take-home assignments across the intervention. Results indicated the TMSSR-based intervention was effective in improving prospective teachers' repertoire of high-leverage moves for eliciting, responding to, facilitating, and extending student mathematical reasoning. Specific areas of improvement included eliciting understanding, promoting error correction, providing guidance, encouraging reflection, and pressing for generalizations. This study suggests a framework that mathematics teacher educators can use to improve prospective teachers' abilities for supporting student reasoning.
Methodological Reasoning for Determining Optimal Economic Size of Regions: A Multi-Layer Perceptron Approach
Authors: Benida Omar 
Published: May 2024

Abstract

This article is intended as a methodological contribution to reasoning about the optimal economic size of a region. Determining this size enables public authorities to act to reduce economic inequalities between regions. However, econometric methods based on panel regressions are largely unaware of recent rapid developments in machine learning methods. This article proposes a predictive model based on the Multi-Layer Perceptron - non-linary regression to determine the optimal economic size of a region. The eight out of twenty variables selected to determine the optimal economic size of a region were statistically analyzed using SPSS before being introduced into the model. The model revealed a very low loss of around 0.0303, and a val_loss of 0.0527. This confirmed the good performance of the model adopted. The data prediction was obtained through an unconstrained optimization where all regions converge towards the average Gross Domestic Product and a simulation based on the Morocco's new development model to be adopted in June 2021 guidelines stipulating an average growth of 6% by 2035. The originality of this approach lies in the combination of economic, demographic, and environmental dimensions to determine the relevant variables of economic development. It also relies on the use of predictive modeling powered by Artificial Intelligence, in particular machine learning. The direct implications the results of this empirical approach are likely to enable researchers and doctoral students working on this theme of regionalization and economic growth to master the prediction of other socio-economic and political/governance variables with good precision.
Characteristics of geochemistry in Ordovician Limestone Groundwater
Authors: Shidong Wang , Tiantian Wang 
Published: May 2024

Abstract

studying the Characteristics of groundwater geochemistry in arid area in northwest China, is important for coal mine water prevention. 34 groundwater samples were collected for hydrogeochemical analyses and piper trilinear diagram were used to study groundwater Characteristics of geochemistry. The results show that the concentration of Na++ K+, HCO3-, Cl-, SO42-, TDS, and pH increase from the recharge area to the discharge area, however, that of Ca2+ and Mg2+ decreases.And each indicator varied greatly in the north and south of the coalfield. Hydrogeochemical types of the runoff from Zhuozishan Mountain to Gongdeer Mountain and then to the south-north directional change. And the groundwater process is controlled by rock weathering action and cation exchange. Whereas the hydrochemical type of the runoff from Zhuozishan Mountain to the south is always SO4▪Cl-Ca▪Na type
An Empirical Exploration of Factors Contributing to Malaysian Men Becoming Involved in a Feminine Career: A Case Study of Male Nurse and Pak Andam
Authors: Siti Salina Abdullah  , Suhaili Arifin  , Fazliyaton Ramley  , Zakaria Mohamad  , Mohd Sani Ismail  , Khuzaimah Mustapa  
Published: May 2024

The gender socialisation process will form and affect the career choices of children when they grow up. As a result, certain careers are considered appropriate only for a certain gender. However, this scenario of gender dominated career is now loosened. Currently, there are men who work as nurses, secretaries, and bridal beauticians. This study examines the factors that influence Malay, Muslim Malaysian men to work in two careers generally dominated by women, which are nurse and “pak andam” (Malay bridal beautician and consultant). Using a case study qualitative approach, the author investigated the factors that influence male nurses (N = 14) and “pak andam” (N = 5) to work in occupations generally considered to be the main domain of women in Malaysia’s culture. Data from semi-structured interviews revealed that the reason why men become male nurses is mainly caused by external factors, which are family obedience, financial disadvantage, and religious obligation. However, during their journey in becoming nurses, they developed their passion for nursing. In contrast, the males who become “pak andam” do so mainly because of personal factors, which is their interest in beauty and fashion. This paper will further discuss the participants’ experiences from the context of Malay Muslim culture.
Isolated ocular sarcoidosis
Authors: Safonova Т. N. , Zaitseva G. V. 
Published: May 2024

A rare clinical case of a patient with isolated sarcoidosis of the eyes is presented. Sarcoidosis is a polyethological disease, the morphological feature of which is the formation of epithelioid cell granulomas in various organs and tissues, which is accompanied by a violation of their structure and function. Both congenital and adaptive immune systems are involved in the pathogenesis of sarcoidosis, with damage to lymph nodes, lungs, skin, organ of vision, etc. Risk factors for the development of sarcoidosis have not been definitively established. Environmental factors and genetic predisposition play a crucial role in the development of the disease. The above clinical observation demonstrates the polymorphism of the clinical picture of isolated ocular sarcoidosis. In addition to standard ophthalmic examination methods, the genetic method of reverse transcription and quantitative polymerase chain reaction (RT-PCR, English qRT-PCR) was also used to determine the expression profile of signature microRNAs as potential diagnostic markers of sarcoidosis of the organ of vision.An increase in the expression level of hsa-miR-455-3p, hsa-miR-4663, hsamiR68063p, hsa-miR-450b-5p, hsa-miR-6716-3p, hsa-miR-5000-5p, hsa-miR150-5p can be considered as potential diagnostic biomarkers of sarcoid lesion of eye structures. With sarcoidosis, the involvement of the lacrimal gland is possible. In the presented clinical observation, this was indicated by the results of a functional examination, sonographic signs: revealed multiple linear tubular hyperechoic structures and a decrease in blood flow velocity in the ocular and lacrimal arteries, as well as an increase in the expression activity of hsa-miR150-5p (p < 0.05). In order to prevent possible damage to the ocular surface due to the development of lacrimal gland dysfunction, it is advisable to prescribe local tear replacement therapy with hyaluronic acid preparations. Such effective drugs include tear substitutes of the Optinol® line: “Optinol® Express Moisture” and “Optinol® Deep Moisture”.