bluuebunny/crossref_metadata_2025 huggingface dataset:
The Bioactive Gamma-Oryzanol from Oryza sativa L. Promotes Neuronal Differentiation in Different In Vitro and In Vivo Models
Authors: Abate Giulia , Pezzotta Alex , Pucci Mariachiara , Bortolotto Valeria , Ribaudo Giovanni , Bonini Sara A. , Mastinu Andrea , Maccarinelli Giuseppina , Ongaro Alberto , Tirelli Emanuela , Zizioli Daniela , Gianoncelli Alessandra , Memo Maurizio , Grilli Mariagrazia , Uberti Daniela
Published: August 2024

Gamma-oryzanol (ORY), found in rice (Oryza sativa L.), is a mixture of ferulic acid esters with triterpene alcohols, well-known for its antioxidant and anti-inflammatory properties. Our past research demonstrated its positive impact on cognitive function in adult mice, influencing synaptic plasticity and neuroprotection. In this study, we explored whether ORY can exert neuro-differentiating effects by using different experimental models. For this purpose, chemical characterization identified four components that are most abundant in ORY. In human neuroblastoma cells, we showed ORY’s ability to stimulate neurite outgrowth, upregulating the expression of GAP43, BDNF, and TrkB genes. In addition, ORY was found to guide adult mouse hippocampal neural progenitor cells (NPCs) toward a neuronal commitment. Microinjection of ORY in zebrafish Tg (-3.1 neurog1:GFP) amplified neurog1-GFP signal, islet1, and bdnf mRNA levels. Zebrafish nrf2a and nrf2b morphants (MOs) were utilized to assess ORY effects in the presence or absence of Nrf2. Notably, ORY’s ability to activate bdnf was nullified in nrf2a-MO and nrf2b-MO. Furthermore, computational analysis suggested ORY’s single components have different affinities for the Keap1-Kelch domain. In conclusion, although more in-depth studies are needed, our findings position ORY as a potential source of bioactive molecules with neuro-differentiating potential involving the Nrf2 pathway.
Queer Latinx Bodies and AIDS: Joey Terrill’s “Still Here” and “Once Upon A Time”
Authors: Salas Alexis
Published: August 2024

Through two interviews conducted two years apart, the author and artist Joey Terrill offer an intimate historical trajectory rooted in the singular voice of the artist through the discussion of artworks in the exhibitions “Joey Terrill: Still Here” and “Joey Terrill: Once Upon A Time: Paintings, 1981–2015”. The method of storytelling, interview, and art representation chronicles the artist’s emotional, intellectual, and embodied experience of illness, queerness, and resistance as an HIV-positive queer Chicano.
Copper Wire Resistance Corrosion Test for Assessing Copper Compatibility of E-Thermal Fluids for Battery Electric Vehicles (BEVs)
Authors: Tormos Bernardo , Ruiz Santiago , Alvis-Sanchez Jorge , Farfan-Cabrera Leonardo Israel
Published: August 2024

This study aims to assess the compatibility of various e-thermal fluids for immersion cooling in battery electric vehicles through a copper wire resistance corrosion test. The tested fluids include a polyalphaolefin, diester, mineral oil API G-III, transformer oil, and a fully formulated dielectric coolant. The test was conducted at 130 °C for 336 h, and the resistance of the copper wires was monitored in vapor and oil phases. By comparing the resistance variation and analyzing portions of the wires through scanning electron microscopy, it was found that the vapor phase of PAO and diester in one of the tests exhibited significant corrosion, while the dielectric coolant showed minimal corrosive effects, implying better compatibility. These results provide insights into the corrosion behavior and compatibility of the fluids with copper, which are essential for selecting suitable dielectric fluids for immersion cooling applications in electric vehicles.
Adaptive Detection in Real-Time Gait Analysis through the Dynamic Gait Event Identifier
Authors: Liu Yifan , Liu Xing , Zhu Qianhui , Chen Yuan , Yang Yifei , Xie Haoyu , Wang Yichen , Wang Xingjun
Published: August 2024

The Dynamic Gait Event Identifier (DGEI) introduces a pioneering approach for real-time gait event detection that seamlessly aligns with the needs of embedded system design and optimization. DGEI creates a new standard for gait analysis by combining software and hardware co-design with real-time data analysis, using a combination of first-order difference functions and sliding window techniques. The method is specifically designed to accurately separate and analyze key gait events such as heel strike (HS), toe-off (TO), walking start (WS), and walking pause (WP) from a continuous stream of inertial measurement unit (IMU) signals. The core innovation of DGEI is the application of its dynamic feature extraction strategies, including first-order differential integration with positive/negative windows, weighted sleep time analysis, and adaptive thresholding, which together improve its accuracy in gait segmentation. The experimental results show that the accuracy rate of HS event detection is 97.82%, and the accuracy rate of TO event detection is 99.03%, which is suitable for embedded systems. Validation on a comprehensive dataset of 1550 gait instances shows that DGEI achieves near-perfect alignment with human annotations, with a difference of less than one frame in pulse onset times in 99.2% of the cases.
Intratumoral Chemotherapy: The Effects of Drug Concentration and Dose Apportioning on Tumor Cell Injury
Authors: Warner Jacob S. , Kinsey C. Matthew , Bates Jason H. T. , Mori Vitor
Published: August 2024

The addition of intravenous (i.v.) chemotherapy to i.v. immunotherapy for patients with lung cancer results in improved overall survival but is limited by synergistic side effects and an unknown, highly variable final cytotoxic dose within the tumor. The synergy between i.v. chemo- and immunotherapies is hypothesized to occur as a result of cell injury caused by chemotherapy, a mechanism demonstrated to drive antigen presentation within the tumor microenvironment. Intratumoral delivery of chemotherapy may thus be optimized to maximize tumor cell injury. To assess the balance between the damage versus the death of tumor cells, we developed a computational model of intratumoral dynamics within a lung cancer tumor for three different chemotherapy agents following direct injection as a function of location and number of injection sites. We based the model on the morphology of a lung tumor obtained from a thoracic CT scan. We found no meaningful difference in the extent of tumor cell damage between a centrally injected versus peripherally injected agent, but there were significant differences between a single injection versus when the total dose was apportioned between multiple injection sites. Importantly, we also found that the standard chemotherapeutic concentrations used for intravenous administration were effective at causing cell death but were too high to generate significant cell injury. This suggests that to induce maximal tumor cell injury, the optimal concentration should be several orders of magnitude lower than those typically used for intravenous therapy.
Raphanus sativus Linne Protects Human Nucleus Pulposus Cells against H2O2-Induced Damage by Inhibiting TREM2
Authors: Kim Hyunseong , Yeo Changhwan , Hong Jin Young , Jeon Wan-Jin , Kim Hyun , Lee Junseon , Lee Yoon Jae , Baek Seung Ho , Ha In-Hyuk
Published: August 2024

Intervertebral disc degeneration (IDD) progresses owing to damage and depletion of nucleus pulposus (NP) cells. Cytoprotection mitigates oxidative stress, nutrient deprivation, and mechanical stress, which lead to cell damage and necrosis. We aimed to examine the protective effect of Raphanus sativus Linne (RSL), common radish, against oxidative stress by H2O2 in human NP cells and whether the RSL extracts can inhibit triggering receptor expressed on myeloid cells 2 (TREM2), an inducer of apoptosis and degeneration in NP cells. We administered hydrogen peroxide (H2O2) to cultured human NP cells treated with RSL extracts. We used immunoblotting and quantitative PCR to investigate expression of the apoptosis-associated proteins in cultured cells. RSL significantly enhanced cell survival by suppressing the activation of cleaved caspase-3 and Bax. In contrast, RSL extract increased Bcl2 concentration to downregulate apoptosis. Additionally, RSL treatment notably enhanced the mRNA levels of ACAN and Col2a1 while significantly reducing those of ADAMTS-4, ADAMTS-5, MMP3, and MMP13, key genes involved in NP degeneration. While H2O2 elevated TREM2 expression, causing disc degeneration, RSL downregulated TREM2 expression. Thus, our findings imply that RSL supports human NP cells under oxidative stress and regulates the pathways underlying disc degeneration, particularly TREM2, and that RSL extracts may potentially prevent IDD.
Integrating Physiology, Cytology, and Transcriptome to Reveal the Leaf Variegation Mechanism in Phalaenopsis Chia E Yenlin Variegata Leaves
Authors: Li Ji , Wen Jianqiang , Wu Kunlin , Li Lin , Fang Lin , Zeng Songjun
Published: August 2024

Phalaenopsis orchids, with their unique appearance and extended flowering period, are among the most commercially valuable Orchidaceae worldwide. Particularly, the variegation in leaf color of Phalaenopsis significantly enhances the ornamental and economic value and knowledge of the molecular mechanism of leaf-color variegation in Phalaenopsis is lacking. In this study, an integrative analysis of the physiology, cytology, and transcriptome profiles was performed on Phalaenopsis Chia E Yenlin Variegata leaves between the green region (GR) and yellow region (YR) within the same leaf. The total chlorophyll and carotenoid contents in the YR exhibited a marked decrease of 72.18% and 90.21%, respectively, relative to the GR. Examination of the ultrastructure showed that the chloroplasts of the YR were fewer and smaller and exhibited indistinct stromal lamellae, ruptured thylakoids, and irregularly arranged plastoglobuli. The transcriptome sequencing between the GR and YR led to a total of 3793 differentially expressed genes, consisting of 1769 upregulated genes and 2024 downregulated genes. Among these, the chlorophyll-biosynthesis-related genes HEMA, CHLH, CRD, and CAO showed downregulation, while the chlorophyll-degradation-related gene SGR had an upregulated expression in the YR. Plant-hormone-related genes and transcription factors MYBs (37), NACs (21), ERFs (20), bHLH (13), and GLK (2), with a significant difference, were also analyzed. Furthermore, qRT-PCR experiments validated the above results. The present work establishes a genetic foundation for future studies of leaf-pigment mutations and may help to improve the economic and breeding values of Phalaenopsis.
DNA Methylation of PXDN Is Associated with Early-Life Adversity in Adult Mental Disorders
Authors: Edelmann Susanne , Balaji Jeysri , Pasche Sarah , Wiegand Ariane , Nieratschker Vanessa
Published: August 2024

Early-life adversity (ELA) is characterized by exposure to traumatic events during early periods of life, particularly involving emotional, sexual and/or physical adversities during childhood. Mental disorders are strongly influenced by environmental and lifestyle-related risk factors including ELA. However, the molecular link between ELA and the risk of an adult mental disorder is still not fully understood. Evidence is emerging that long-lasting changes in the epigenetic processes regulating gene expression, such as DNA methylation, play an important role in the biological mechanisms linking ELA and mental disorders. Based on a recent study, we analyzed the DNA methylation of a specific CpG site within the gene PXDN—cg10888111—in blood in the context of ELA across a set of psychiatric disorders, namely Borderline Personality Disorder (BPD), Major Depressive Disorder (MDD) and Social Anxiety Disorder (SAD), and its potential contribution to their pathogenesis. We found significant hypermethylation in mentally ill patients with high levels of ELA compared to patients with low levels of ELA, whereas cg10888111 methylation in healthy control individuals was not affected by ELA. Further investigations revealed that this effect was driven by the MDD cohort. Providing a direct comparison of cg10888111 DNA methylation in blood in the context of ELA across three mental disorders, our results indicate the role of PXDN regulation in the response to ELA in the pathogenesis of mental disorders, especially MDD. Further studies will be needed to validate these results and decipher the corresponding biological network that is involved in the transmission of ELA to an adult mental disorder in general.
Metabolomic Analysis of Follicular Fluid in Normal-Weight Patients with Polycystic Ovary Syndrome
Authors: Yu Jiayue , Wei Yiqiu , Zhang Zhourui , Chen Jiao , Fu Rongrong , Ye Peng , Chen Suming , Yang Jing
Published: August 2024

Background: This study aimed to examine the differential variations in the metabolic composition of follicular fluid (FF) among normal-weight patients with polycystic ovary syndrome (PCOS) and controls and to identify potential biomarkers that may offer insights into the early identification and management of these patients. Methods: We collected FF samples from 45 normal-weight women with PCOS and 36 normal-weight controls without PCOS who were undergoing in vitro fertilization–embryo transfer. An untargeted metabolomic study of collected FF from infertile women was performed using high-performance liquid chromatography–tandem spectrometry (LC-MS). The tendency of the two groups to separate was demonstrated through multivariate analysis. Univariate analysis and variable importance in projection were used to screen out differential metabolites. Metabolic pathway analysis was conducted using the Kyoto Encyclopedia of Genes and Genomes (KEGG), and a diagnostic model was established using the random forest algorithm. Results: The metabolomics analysis revealed an increase in the expression of 23 metabolites and a decrease in that of 10 metabolites in the FF of normal-weight women with PCOS. According to the KEGG pathway analysis, these differential metabolites primarily participated in the metabolism of glycerophospholipids and the biosynthesis of steroid hormones. Based on the biomarker combination of the top 10 metabolites, the area under the curve value was 0.805. The concentrations of prostaglandin E2 in the FF of individuals with PCOS exhibited an inverse association with the proportion of high-quality embryos (p < 0.05). Conclusions: Our research identified a distinct metabolic profile of the FF from normal-weight women with PCOS. The results offer a broader comprehension of the pathogenesis and advancement of PCOS, and the detected differential metabolites could be potential biomarkers and targets for the treatment of PCOS.
Cardiomyocyte Regeneration in Human Myocarditis
Authors: Frustaci Andrea , Foglio Eleonora , Limana Federica , Magnocavallo Michele , Frustaci Emanuela , Lupacchini Leonardo , Verardo Romina
Published: August 2024

Background: Newly generated cardiomyocytes (NGCs) concur with the recovery of human myocarditis occurring spontaneously in around 50% of cases. However, NGCs decline with age, and their modality of myocardial homing and integration are still unclear. Methods: We retrospectively assessed NGCs in 213 consecutive patients with endomyocardial biopsy denoting acute myocarditis, with normal coronaries and valves. Tissue samples were processed for histology (H&E), immunohistochemistry for the evaluation of inflammatory infiltrates, immunostaining for alpha-sarcomeric-actin, junctional connexin-43, Ki-67, and phosphorylated STAT3 (p-STAT3), and Western blot (WB) for HMGB1. Frozen samples were analyzed using polymerase chain reaction (PCR) for cardiotropic viruses. Controls included 20 normal surgical biopsies. Results: NGCs were defined as small myocytes (diameter < 10 µm) with nuclear positivity to Ki-67 and p-STAT3 and positive immunostaining for cytoplasmic α-sarcomeric actin and connexin-43. Their number/mm2 in relation to age and pathway of integration was evaluated. NGCs crossed the membrane and grew integrated within the empty necrotic myocytes. NGC mean diameter was 6.6 ± 3.34 vs. 22.5 ± 3.11 µm adult cells; their number, in comparison to LVEF, was 86.3 ± 10.3/mm2 in patients between 18 and 40 years, 50.4 ± 13.8/mm2 in those between 41 and 60, and 15.1 ± 5.7/mm2 in those between 61 and 80. Control NGCs’ mean diameter was 0.2 ± 0.2 mm2. PCR was positive for viral genomes in 16% of cases; NGCs were not statistically different in viral and non-viral myocarditis. WB analysis revealed a higher expression of HMGB1 in myocarditis compared to myocardial controls. Conclusions: NGCs are constantly recognizable in acute human myocarditis. Their number declines with age. Their integration within necrotic myocytes allows for the preservation of the cardiac structure and function.
Molecular Prevalence and Haematological Assessments of Avian Malaria in Wild Raptors of Thailand
Authors: Subaneg Sirawit , Sitdhibutr Ratiwan , Pornpanom Pornchai , Lertwatcharasarakul Preeda , Ploypan Raveewan , Kiewpong Aksarapak , Chatkaewchai Benya , To-adithep Nithima , Kasorndorkbua Chaiyan
Published: August 2024

Raptors (Accipitriformes, Falconiformes and Strigiformes) are important for ecological niches as bioindicators and an apex predator; however, their global populations have continuously decreased due to human activities, habitat loss and contagious diseases. Avian malaria that may cause the negative impact on raptors’ health may also contribute to the declining of raptor populations. This study reported malaria’s molecular prevalence and genetic diversity in wild-caught and rehabilitated raptors in the Kasetsart University Raptor Rehabilitation Unit. In total, 109 raptors from 18 provinces of Thailand were classified into two groups, which included 78 diurnal raptors (DIRs) in Accipitriformes and 31 nocturnal raptors (NORs) in Strigiformes. Each ethylenediaminetetraacetic (EDTA) blood sample (0.5–1 mL) was tested through haematological analyses and polymerase chain reaction (PCR)-based detection to assess parasites’ health impacts. Amplicons of PCR positive samples were analysed for a nucleotide sequencing and phylogenetic relationships. The overall prevalence of avian malaria was low at 3.67% (4/109) (95% CI: 1.44–9.06%), with a prevalence of 3.86% (3/78) (95% CI: 1.32–10.70%) in DIRs and 3.23% (1/31) (95% CI: 1.32–10.70%) in NORs. Most of the infected samples were from southern Thailand. This suggested that the raptors in humid habitats are more vulnerable to the malarial infection, which was likely associated with vector and parasite abundance. Clinical appearances and haematological examinations demonstrated that raptors could tolerate the infection and only became asymptomatic and subclinically infected. This study is the first report of the infection of avian malaria in Cinerous Vulture, Himalayan Vulture and Barred Eagle Owl in Thailand, providing baseline information in preparedness for the disease diagnostic and further study of avian malaria in some endangered raptor species.
Working Memory and Cross-Linguistic Influence on Vocabulary Acquisition
Authors: Flores-Salgado Elizabeth , Gutiérrez-Koyoc Aldo Falú
Published: August 2024

The purpose of this study was to analyze the cross-linguistic influence of previously learned languages and working memory capacities on the vocabulary performance of two different typological languages. The objectives of this study were (1) to compare the working memory capacities of bilingual adults in relation to the vocabulary performance of two different languages never learned by the participants, and (2) to analyze to what extent the typology of previously learned languages influences working memory capacities in relation to the vocabulary performance of French and Nahuatl. A group of 43 Mexican Spanish college students participated in this experimental study. The participants completed a series of working memory tasks in Nahuatl and French. The results showed that working memory capacities were lower in Nahuatl than in French. Thus, a correlation was found between their first and second language and vocabulary performance in French. We can consider the influence of previously learned languages as a significant factor in vocabulary acquisition in accordance with the participants’ working memory capacities.
Application of an Auditory-Based Feedback Distortion to Modify Gait Symmetry in Healthy Individuals
Authors: Liu Le Yu , Sangani Samir , Patterson Kara K. , Fung Joyce , Lamontagne Anouk
Published: August 2024

Background: Augmenting auditory feedback through an error-augmentation paradigm could facilitate the perception and correction of gait asymmetry in stroke survivors, but how such a paradigm should be tailored to individual asymmetry profiles remains unclear. Before implementing the paradigm in rehabilitation, we need to investigate the instantaneous effects of distorted footstep sound feedback on gait symmetry in healthy young adults. Methods: Participants (n = 12) walked on a self-paced treadmill while listening to their footstep sounds, which were distorted unilaterally according to five conditions presented randomly: small delay; small advance; large delay; large advance; or unmodified (control). The primary outcomes were swing time ratio (SWR) and step length ratio (SLR). Secondary outcomes included walking speed, bilateral swing time, step length, and maximum toe height, as well as hip, knee, and ankle angle excursions. Results: SWR (p < 0.001) but not SLR (p ≥ 0.05) was increased in all distorted feedback conditions compared to the control condition. Increased swing time on the perturbed side ipsilateral to feedback distortion was observed in the advanced conditions (p < 0.001), while swing time increased bilaterally in the delayed conditions (p < 0.001) but to a larger extent on the unperturbed side contralateral to feedback distortion. Increases in swing time were accompanied by larger maximum toe height as well as larger hip and knee joint excursions (p < 0.05 to p < 0.001). No differences in any outcomes were observed between small and large feedback distortion magnitudes. Conclusions: Distorted footstep sound feedback successfully elicits adaptation in temporal gait symmetry (SWR), with distinct modulation patterns for advanced vs. delayed footstep sounds. Spatial symmetry (SLR) remains unaltered, likely because auditory feedback primarily conveys temporal information. This research lays the groundwork to implement personalized augmented auditory feedback in neurorehabilitation.
How to Stimulate Continuous Innovative Knowledge Contribution? Mediation by Self-Efficacy and Moderation by Knowledge Level
Authors: Wang Jun , Jiang Shan , Liu Ou , Wang Yani
Published: August 2024

Taking the perspective of innovative knowledge management, this study aimed to investigate the stimulation mechanism of continuous innovative knowledge contribution (CIKC). Through a quantitative study conducted in an open innovation community, we modeled a stimulus–organism–response framework to conduct a path analysis from the external environment to internal cognition, and then to knowledge contribution, and filled in the gaps in the mediating and moderating mechanisms. We focused on the stimuli of knowledge contribution, in view of both quantity and quality. Panel data from six periods in one year was collected for dynamic analysis, and we used the fixed effect model to test our hypotheses of mediation effect, moderation effect, and mediated-moderation effect. There were some interesting findings, showing that user’s self-efficacy plays a partial mediating role in the quantity, rather than the quality, of CIKC; meanwhile, the users’ knowledge level plays a moderating role, and there is a negative moderating mechanism of knowledge level in the process from participation value to the quality of CIKC.
Data-Driven Prediction of Electrical Resistivity of Graphene Oxide/Cement Composites Considering the Effects of Specimen Size and Measurement Method
Authors: Chen Runyang , Feng Chuang , Yang Jinlong , Hang Ziyan , Fan Yucheng , Zhang Jinzhu
Published: August 2024

The prediction of electrical resistivity of graphene oxide (GO) reinforced cement composites (GORCCs) is essential to promote the application of the composites in civil engineering. Traditional experiments find it challenging to capture the effect of various features on the electrical resistivity of the GORCCs. In this work, machine learning (ML) techniques are employed to explore the complex nonlinear relationships between different influencing factors and the electrical resistivity of the GORCCs. A total of 171 datasets are utilized for training and testing the ML models. It is demonstrated that the applied ML models are effective and efficient. Apart from the water/cement ratio, correlation analysis shows that the electrical resistivity of the GORCCs is highly dependent on the specimen size and measurement method. Feature importance analysis shows that the dispersion of GO has a significant influence on the electrical resistivity. The extreme gradient boosting (XGB) model and the artificial neural network (ANN) model with 3 hidden layers are proven to have better predictions, as evidenced by higher R2 and lower root mean square error (RMSE). This work is envisioned to provide an effective and efficient way to identify the complex relationship between the material properties of the GORCCs and the various influencing factors.
Flexural Behavior of Galvanized Iron Based Cold-Formed Steel Back-to-Back Built-Up Beams at Elevated Temperatures
Authors: Sam Varun Sabu , Nammalvar Anand , Andrushia Diana , Gurupatham Beulah Gnana Ananthi , Roy Krishanu
Published: August 2024

Cold-formed steel (CFS) sections have become popular in construction due to several advantages over structural steel. However, research on the performance of galvanized iron (GI)-based CFS under high temperatures, especially regarding its flexural behavior, has been limited. This study extensively investigates how GI-based CFS beams with varying spans behave under elevated temperatures and subsequent cooling using air and water. This study examines the impact of temperature loading and compares the effectiveness of air- and water-cooling methods. Experimental results are validated and analyzed alongside findings from finite element modeling (FEM) using ABAQUS (2019_09_13-23.19.31) and the Direct Strength Method (DSM). Additionally, this study conducts a parametric investigation to assess how beam span influences flexural capacity. Among beams heated to the same temperature, those cooled with water show slightly lower load capacities compared to those cooled with air. The highest load capacity observed is 64.3 kN for the reference specimen, while the lowest is 26.2 kN for the specimen heated for 90 min and cooled with water, a 59.27% difference between them. Stiffness decreases as heating duration increases, with the reference section exhibiting significantly higher stiffness compared to the section heated for 90 min and cooled with water, with a 92.76% difference in stiffness. As heating duration increases, ductility also increases. Various failure modes are observed based on different heating and cooling conditions across different beam spans. This study provides insights into how GI-based CFS beams perform under temperature stress and different cooling scenarios, contributing valuable data for structural design and safety considerations in construction.
Exploring the Readiness of Organisations to Adopt Artificial Intelligence
Authors: Felemban Haneen , Sohail M. , Ruikar Kirti
Published: August 2024

Front-end planning (FEP) is the first step in identifying a problem and analysing a project’s goals and the business case for management to decide whether to proceed with the project. Despite its crucial significance, projects are still underperforming and failing to achieve their objectives. Current research suggests that the emergence of AI promises significant advantages to organisations, particularly for FEP. The purpose of this paper was to explore the readiness of organisations to use AI in the FEP phase to enhance project outcomes. The technology–organisation–environment (TOE) framework was used to evaluate factors influencing the readiness to adopt AI in construction projects in Saudi Arabia. Thirty interviews were conducted with public and private stakeholders in the sector. The knowledge and insight gained from the viewpoints of key decision makers and practitioners allowed for an examination of the main factors impacting the adoption of AI, and any challenges and barriers to it. Findings showed that the support of the government and senior management, and the attitudes and behaviour of employees, were the top three factors in the framework that facilitate the readiness of organisations to adopt AI. Government support influences external support and enhances competitive pressure between organisations; senior management support influences the absorptive capacity and maturity of an organisation; and employees’ attitudes and behaviours are the main contributors to organisational readiness. The proposed framework will assist policymakers in using these factors to overcome the challenges of AI adoption. Additionally, creating strategies aligned with Vision 2030 focuses not only on choosing the best technology to implement but also on how employees can benefit from it.
Synthesis of Ni@SiC/CNFs Composite and Its Microwave-Induced Catalytic Activity
Authors: Ouyang Haibo , Liu Jiaqi , Li Cuiyan , Bao Leer , Shen Tianzhan , Li Yanlei
Published: August 2024

Carbon nanomaterials are promising microwave catalytic materials due to their abundant inhomogeneous interfaces capable of producing ideal interfacial polarization and multiple relaxation, which are favorable for microwave attenuation and dissipation. However, the microwave absorption performance of carbon materials is not ideal in practical applications due to poor impedance matching and single dielectric loss. To solve this problem, a ternary system of “carbon-magnetic” Ni@SiC/CNFs (C/Ni, C/SiC) composites was synthesized by electrostatic spinning, and they efficiently degraded methylene blue under microwave radiation. The results imply that the catalyst Ni@SiC/CNFs with a double-shell structure gave a 99.99% removal rate in 90 s for the degradation of methylene blue under microwave irradiation, outperforming the C/Ni and C/SiC and most other reported catalysts in similar studies. On the one hand, the possible mechanism of the methylene blue degradation should be ascribed to the fact that the double-shell structure increases the polarization source of the material, resulting in excellent microwave absorption properties; and on the other, the in situ generation of ·OH and O2− active species under microwave radiation and the synergistic coupling effect of metal plasma greatly improved the degradation efficiency of methylene blue. The findings of this study could provide a valuable reference for the green degradation of industrial dye wastewater and its sustainable development process.
Analyzing HDPE Thermal and Catalytic Degradation in Hydrogen Atmosphere: A Model-Free Approach to the Activation Energy
Authors: Costa Cátia S. , Fernandes A. , Munoz Marta , Ribeiro M. Rosário , Silva João M.
Published: August 2024

Despite the great interest in thermochemical processes for converting plastic waste into chemical feedstocks or fuels, their kinetics are still a less studied topic, especially under reductive conditions. In the present work, non-isothermal thermogravimetric analysis is used to study the thermal and catalytic conversion of HDPE promoted by parent and metal-based H-USY (15) and H-ZSM-5 (11.5) zeolites under a reducing hydrogen atmosphere. Additionally, the respective kinetic parameters (apparent activation energy, Ea, and frequency factor, A) were determined by applying two distinct model-free methods: Flynn–Wall–Ozawa (FWO) and Kissinger–Akahira–Sunose (KAS). The results showed that Ea of the thermal degradation of HDPE has an average value of 227 kJ/mol for both methods. In the presence of H-USY (15) and H-ZSM-5 (11.5) zeolites, Ea is strongly reduced and is highly dependent on conversion. In the case of H-USY (15), Ea varies from 78 to 157 kJ/mol for the KAS method and from 83 to 172 kJ/mol for the FWO method. Slightly lower values are reported for H-ZSM-5, with Ea values in the range of 53–122 kJ/mol for KAS and 61–107 kJ/mol for FWO. The presence and type of the metal source (Ni, Pt, or Pd) also affect the kinetic parameters of the reaction. The mean Ea values follow the order: Ni > Pt ≈ Pd for H-USY (15) or H-ZSM-5 zeolites. Accordingly, both parent and metal-based H-USY (15) and H-ZSM-5 zeolites can significantly reduce energy consumption in HDPE hydrocracking, thus promoting a more sustainable conversion of plastic waste.
A Review on the Advances in Nanomaterials for Electrochemical Non-Enzymatic Glucose Sensors Working in Physiological Conditions
Authors: Osuna Velia , Aparicio Martínez Eider Pedro , Dominguez Rocio B. , Vega Rios Alejandro
Published: August 2024

Although an enzymatic electrochemical biosensor is a major keystone in Diabetes Mellitus management, its replacement with a low-cost and stable non-enzymatic glucose sensor (NEGS) is of high interest to scientific and industrial fields. However, most NEGS for direct glucose electrooxidation (DGE) must be performed under extreme alkaline conditions, implying additional pretreatments before detection and a limited application for on-body, real-time monitoring. Thus, research on DGE in physiological conditions is fundamental to successfully translating the current NEGS into clinical applications. In physiological conditions, drawbacks such as low current, low selectivity, and poisoning appear due to the reduction of OH ions in neutral electrolytes and the presence of chloride ions in biofluids. Therefore, an increasing number of nanomaterials based on Pt, Au, and their nanocomposites have been proposed to improve the electrochemical performance. Additionally, transition metals such as Cu, Pd, Ni, or Co combined with high surface area supports have shown promising results in increasing catalytic sites for DGE. The molecular interaction of phenylboronic acid with glucose has also been demonstrated in neutral conditions. Overall, the present review summarizes the current strategies for DGE in physiological conditions and highlights the challenges still faced for further development of functional glucose NEGS.
First Description of a Large Clinical Series of Fetal Alcohol Spectrum Disorders Children and Adolescents in Reunion Island, France
Authors: Sennsfelder Laëtitia , Guilly Susie , Henkous Sonia , Lebon Christophe , Leruste Sébastien , Beuvain Pauline , Ferroul Fanny , Benard Stéphanie , Payet Frédérique , Nekaa Meissa , Bagard Maité , Lauret Magaly , Hoareau Virginie , Caillier Aurélie , Robin Stéphanie , Lanneaux Justine , Etchebarren Léa , Spodenkiewicz Michel , Alessandri Jean-Luc , Morel Godelieve , Roy-Doray Bérénice
Published: August 2024

Background: Despite several diagnostic guidelines, Fetal Alcohol Spectrum Disorders (FASDs) remain underdiagnosed or misdiagnosed, delaying the care of these patients and support for families. Objective: This study aims to help professionals caring for these children and their families to suspect this diagnosis earlier and to provide the most appropriate follow-up. Methods: A retrospective chart review with monocentric recruitment was performed at the Genetics Unit of the University Hospital of Reunion Island. A total of 147 children and adolescents with FASDs were included. Results: Prenatal alcohol exposure was associated with paternal alcohol consumption in 42.9%, and a high rate of prematurity (33.3%) was observed. Sixty percent of children or adolescents were placed in foster families. Learning difficulties without cognitive deficits were found in 65.8% of cases (50/76). Postural control and fine motor skills disabilities were described, respectively, in 54.7% (35/64) and 72.5% (50/69) of cases. A systematic genetic assessment was carried out, identifying in these FASD patients an associated Copy Number Variation (CNVs) in 22.6% of cases. Conclusion: Children with FASDs combine significant vulnerabilities, associating exposure to alcohol during the preconception and/or the prenatal period, prematurity, complex familial and sociocultural living conditions, and a genetic anomaly in almost a quarter of cases.
A Pilot Phase 2 Randomized Trial to Evaluate the Safety and Potential Efficacy of Etravirine in Friedreich Ataxia Patients
Authors: Paparella Gabriella , Stragà Cristina , Pesenti Nicola , Dal Molin Valentina , Martorel Gian Antonio , Merotto Vasco , Genova Cristina , Piazza Arianna , Piccoli Giuseppe , Panzeri Elena , Rufini Alessandra , Testi Roberto , Martinuzzi Andrea
Published: August 2024

Background: A drug repositioning effort supported the possible use of the anti-HIV drug etravirine as a disease-modifying drug for Friedreich ataxia (FRDA). Etravirine increases frataxin protein and corrects the biochemical defects in cells derived from FRDA patients. Because of these findings, and since etravirine displays a favorable safety profile, we conducted a pilot open-label phase 2 clinical trial assessing the safety and potential efficacy of etravirine in FRDA patients. Methods: Thirty-five patients were stratified into three severity groups and randomized to etravirine 200 mg/day or 400 mg/day. They were treated for 4 months. Safety endpoints were the number and type of adverse events and number of dropouts. Efficacy endpoints were represented by changes in peak oxygen uptake and workload as measured by incremental exercise test, SARA score, cardiac measures, measures of QoL and disability. Data were collected 4 months before the start of the treatment (T − 4), at the start (T0), at the end (T4) and 4 months after the termination of the treatment (T + 4). Results: Etravirine was reasonably tolerated, and adverse events were generally mild. Four months of etravirine treatment did not significantly increase the peak oxygen uptake but was associated with a change in the progression of the SARA score (p value < 0.001), compared to the 4 months pre- and post-treatment. It also significantly increased peak workload (p value = 0.021). No changes in the cardiac measures were observed. Health and QoL measures showed a worsening at the suspension of the drug. Conclusions: In this open trial etravirine treatment was safe, reasonably well tolerated and appreciably improved neurological function and exercise performance. Even though a placebo effect cannot be ruled out, these results suggest that etravirine may represent a potential therapeutic agent in FRDA deserving testing in a randomized placebo-controlled clinical trial.
Availability, Scalability, and Security in the Migration from Container-Based to Cloud-Native Applications
Authors: Nascimento Bruno , Santos Rui , Henriques João , Bernardo Marco V. , Caldeira Filipe
Published: August 2024

The shift from traditional monolithic architectures to container-based solutions has revolutionized application deployment by enabling consistent, isolated environments across various platforms. However, as organizations look for improved efficiency, resilience, security, and scalability, the limitations of container-based applications, such as their manual scaling, resource management challenges, potential single points of failure, and operational complexities, become apparent. These challenges, coupled with the need for sophisticated tools and expertise for monitoring and security, drive the move towards cloud-native architectures. Cloud-native approaches offer a more robust integration with cloud services, including managed databases and AI/ML services, providing enhanced agility and efficiency beyond what standalone containers can achieve. Availability, scalability, and security are the cornerstone requirements of these cloud-native applications. This work explores how containerized applications can be customized to address such requirements during their shift to cloud-native orchestrated environments. A Proof of Concept (PoC) demonstrated the technical aspects of such a move into a Kubernetes environment in Azure. The results from its evaluation highlighted the suitability of Kubernetes in addressing such a demand for availability and scalability while safeguarding security when moving containerized applications to cloud-native environments.
Charting the Future of Conservation in Arizona: Innovative Strategies for Preserving Its Natural Resources
Authors: Bodini Matteo
Published: August 2024

The article explores future directions toward the conservation of the state of Arizona, aiming to preserve its multiple natural resources, including landscapes, wildlife, flora, unique ecosystems, and water resources. We evaluate the current governmental plans and laws focused on conservation, highlighting their impacts and identifying the existing gaps. Then, by analyzing such gaps, we uncover the main open conservation challenges within the state, such as urban expansion, climate change, water resource management, spreading of invasive species, and uranium mining and related activities, discussing their potential impact on future conservation efforts. Finally, the article introduces targeted strategies to enhance conservation outcomes, focusing on the importance of collaborative governance, innovative conservation technologies, multidisciplinary solutions, and law revisions. By adopting a forward-looking and multidisciplinary approach, we outline multiple prospective pathways for ensuring the long-term sustainability of Arizona’s natural resources, contributing to the wide global discussion on environmental conservation.
Protective Effects of Recombined Mussel Adhesive Protein against AD Skin Inflammation in Mice
Authors: Wu Yu , Li Feng , Gong Yan , Wan Xing , Zhou Li-Ming
Published: August 2024

(1) Background: Atopic dermatitis (AD) is characterized as a chronic inflammatory skin disease with a significant incidence rate. The pathophysiological mechanisms underlying AD remain incompletely understood. However, extensive research demonstrates that a complex interplay among genetic, immune, and environmental factors contributes to the disruption of skin barrier function. Inflammation is identified as one of the pathological mechanisms in AD. Recombined mussel adhesive protein exhibits anti-inflammatory properties. However, recombinant mussel adhesive protein has been used less frequently for AD, so we explored the therapeutic effect of recombinant mussel adhesive protein for AD and the potential mechanism. (2) Methods: We established a mice model of AD in vivo and an LPS-induced inflammation model in HaCaT cells in vitro. Through assessment of skin lesion scores, itch frequency, transepidermal water loss, skin microcirculation, HE staining, Elisa assays for IL-6, IL-12, IL-13, IL-4, IL-5, IFN-γ, IgE, and TNF-α, immunohistochemical staining for filaggrin and CK14, Masson staining, and Western blot analysis of NF-κB p65, P-P65, Keap1, and Nrf2, the effects of recombined mussel adhesive protein on AD symptoms, pathology, inflammation, and its mechanisms are investigated. (3) Results: The recombined mussel adhesive protein significantly improved the compromised skin barrier, reduced scratching frequency in mice, decreased transepidermal water loss, and lowered the expression of inflammatory factors, thus ameliorating skin inflammation damage. Mechanistically, recombined mussel adhesive protein downregulated the expression of P-p65/p65 and Keap1 while upregulating the level of Nrf2. (4) Conclusions: Overall, our results demonstrate the effectiveness of recombined mussel adhesive protein in attenuating DNFB-induced AD by inhibiting NF-κB and activating the Keap1/Nrf2 signaling pathway. Thus, recombined mussel adhesive protein is a promising therapeutic candidate for the treatment of AD.
Cosmetology in the Era of Artificial Intelligence
Authors: Grech Vasiliki Sofia , Kefala Vasiliki , Rallis Efstathios
Published: August 2024

The integration of artificial intelligence (AI) in cosmetology is transforming the industry in numerous ways, including the introduction of advanced tools such as at-home skin analysis devices that can evaluate skin quality and augmented reality applications that allow users to virtually try on various makeup products. These innovations empower individuals to make well-informed decisions about their cosmetic care and enable cosmetologists to predict treatment outcomes with higher accuracy. In this way, AI enhances patient satisfaction by better aligning expectations with achievable results. A computerized database search was performed to identify articles relevant to this topic. A comprehensive search was applied to the following electronic databases: IEEE Xplore, PubMed, Google Scholar, and Research Gate. This review explores four key areas in the current literature where AI contributes to cosmetic procedures. Firstly, AI democratizes skincare by making products and services more accessible to everyone. Secondly, it bridges the gap between physicians and cosmetic suppliers by enlightening collaboration and innovation. Thirdly, it improves the assessment of cosmetic ingredients by ensuring better safety and efficacy, and lastly, AI provides an ethical alternative to animal testing by replacing the Local Lymph Node Assay (LLNA) and the Guinea Pig Maximization Test (GPMT) with in silico models. While AI offers significant benefits, it also raises concerns about data privacy, informed consent, and the potential for promoting unrealistic beauty standards. Addressing these challenges involves implementing measures such as anonymization and de-identification techniques to protect sensitive data and safeguard informed consent for data collection and processing. This article aims to highlight the responsible and ethical use of AI in cosmetology, emphasizing the importance of accuracy and customization in cosmetic care, which represents a significant advancement in the industry.
Impact of Hyperferritinemia on Immune Modulation in Septic Diabetic Patients
Authors: Kim Min-Ji , Choi Eun-Jung , Lee In-Kyu
Published: August 2024

Diabetes significantly impacts the immune system; however, its role in worsening sepsis prognosis remains poorly understood. This study investigated the effect of hyperferritinemia on immune modulation in septic diabetic patients. A cohort study at Kyungpook National University Hospital stratified sepsis patients by diabetes status and followed them for 28 days. Additionally, CD4+ T cells from mice were analyzed for proliferation, apoptosis, and metabolic changes under ferritin treatment. Results from the clinical study showed higher ferritin levels in diabetic patients, and those with lower lymphocyte counts had increased mortality. In the mice study, ferritin inhibited T cell activation and proliferation by shifting metabolism from glycolysis to oxidative phosphorylation without increasing cell death. These findings suggest that the suppression of T cell proliferation due to elevated ferritin levels contributes to an immunosuppressive environment, leading to worse outcomes. In conclusion, hyperferritinemia is a biomarker for sepsis severity, particularly in diabetic patients, highlighting potential therapeutic strategies targeting ferritin levels or glycolytic pathways.