bluuebunny/crossref_metadata_2025 huggingface dataset:
Normal butanol fraction of Polygonum hydropiper L. flavonoids reduces inflammation caused by PCV2 infections in cell and mouse models
Authors: Wei Yu-heng , Zhou Shu-mian , Zhao Wen , Chen Qi , Wang Qiu-hua , Yu Mei-ling , Wei Ying-yi , Hu Ting-jun
Published: February 2025

Introduction

The normal butanol fraction of Polygonum hydropiper L. flavonoids (FNB) exhibits significant anti-inflammatory effects. This study investigated FNB's impact on inflammatory responses induced by Porcine circovirus type 2 (PCV2) in cell and mouse models.

Methods

An inflammatory model was established in RAW264.7 cells infected with varying PCV2 concentrations. And assigning both RAW264.7 cells and 108 SPF-grade KM mice to Control, PCV2, Rutin, and various dosages of FNB groups. Inflammatory factors such as Monocyte Chemoattractant Protein-1 (MCP-1), interleukin-6 (IL-6), IL-8, IL-10, Tumor Necrosis Factor-alpha (TNF-α), Reactive Oxygen Species (ROS), and Nitric Oxide (NO) were quantified using ELISA, RT-qPCR and immunohistochemistry.

Results

Results showed that a PCV2 titer of 104.5 TCID50/0.1 mL when applied to RAW264.7 cells effectively established an in vitro inflammatory model at 12 and 24 h post-infection. Following PCV2 infection, all the inflammatory factors displayed a significant increased both in culture supernatant and intracellular mRNA expression levels (p < 0.05 or p < 0.01), but these levels were reduced by FNB treatment (p < 0.05 or p < 0.01). In mouse sera post-PCV2 infection also showed elevated levels of IL-6, IL-8 IL-10, TNF-α, and MCP-1 (p < 0.05 or p < 0.01). Additionally, mRNA and protein levels for TNF-α, IL-8, IL-10, IL-6, and iNOS rose significantly in lung tissues (p < 0.01) but decreased with FNB treatment (p < 0.05 or p < 0.01).

Discussion

These findings suggest that FNB reduces inflammatory factor production and modulates the inflammatory response triggered by PCV2 infection, potentially enhancing host resistance against it.
Molecular uncovering of important helminth species in wild ruminants in the Czech Republic
Authors: Škorpíková Lucie , Vadlejch Jaroslav , Ilgová Jana , Plhal Radim , Drimaj Jakub , Mikulka Ondřej , Magdálek Jan , Kašný Martin , Reslová Nikol
Published: February 2025

Monitoring gastrointestinal helminth infections in wild ruminants poses significant challenges for managing wildlife health, particularly regarding invasive species. Traditional coprological methods are often limited by their labor-intensive nature and potential for erroneous identification due to morphological similarities among parasite species. This study employed advanced molecular techniques to assess the prevalence and distribution of several helminth taxa, including the invasive nematode Ashworthius sidemi and the trematode Fascioloides magna, in wild ruminant populations in the Czech Republic (CR). A comprehensive and extensive survey on parasite occurrence, unique in its nationwide scope, was conducted on 983 fecal samples collected from red deer (Cervus elaphus), roe deer (Capreolus capreolus), fallow deer (Dama dama), and mouflon (Ovis musimon) across various regions of the CR. The samples were analyzed using multiplex real-time PCR assays specifically designed to detect the DNA of six helminth representatives: the nematodes A. sidemi and Haemonchus spp., as well as the trematodes F. magna, Dicrocoelium dendriticum, Fasciola hepatica, and Calicophoron daubneyi (and representatives of the family Paramphistomidae, respectively). These assays targeted regions of ribosomal DNA (rDNA) and were designed to exhibit high sensitivity and specificity, enabling accurate detection of helminth parasites directly in fecal samples. The molecular assays revealed that invasive nematode A. sidemi was the most prevalent helminth species, detected in 15.8% of all samples (155/983), with the highest infection rate observed in red deer at 30.7% (124/404). Haemonchus spp. were also frequently detected, identified in 14.9% of samples (146/983), particularly in roe deer, with a prevalence of 23.2% (86/371). Spatial analysis of these nematodes across various regions of the CR revealed the extensive distribution of both A. sidemi and Haemonchus spp. in nearly all regions. In contrast, trematode infections were less common, with F. magna and D. dendriticum each found in only 1.5% of samples (15/983). Members of the family Paramphistomidae were detected in 0.2% of the samples (2/983) and were confirmed through sequencing as C. daubneyi. The geographical distribution patterns identified in this study indicate potential hotspots for specific helminth species. These findings are critical for planning health management and conservation strategies to mitigate the impacts of helminth infections, especially in areas affected by invasive species.
Efficient Identification of Monoclonal Antibodies Against Rift Valley Fever Virus Using High-Throughput Single Lymphocyte Transcriptomics of Immunized Mice
Authors: Rosenfeld Ronit , Alcalay Ron , Yahalom-Ronen Yfat , Melamed Sharon , Sarusi-Portuguez Avital , Noy-Porat Tal , Israeli Ofir , Beth-Din Adi , Blecher-Gonen Ronnie , Chitlaru Theodor , Bar-Haim Erez , Israely Tomer , Zvi Anat , Makdasi Efi
Published: February 2025

Background: Rift Valley fever virus (RVFV) is a zoonotic virus that poses a significant threat to both livestock and human health and has caused outbreaks in endemic regions. In humans, most patients experience a febrile illness; however, in some patients, RVF disease may result in hemorrhagic fever, retinitis, or encephalitis. While several veterinary vaccines are being utilized in endemic countries, currently, there are no licensed RVF vaccines or therapeutics for human use. Neutralizing antibodies specifically targeting vulnerable pathogen epitopes are promising candidates for prophylactic and therapeutic interventions. In the case of RVFV, the surface glycoproteins Gc and Gn, which harbor neutralizing epitopes, represent the primary targets for vaccine and neutralizing antibody development. Methods: We report the implementation of advanced 10x Genomics technology, enabling high-throughput single-cell analysis for the identification of rare and potent antibodies against RVFV. Following the immunization of mice with live attenuated rMP-12-GFP virus and successive Gc/Gn boosts, memory B cell populations (both general and antigen-specific) were sorted from splenocytes by flow cytometry. Deep sequencing of the antibody repertoire at a single-cell resolution, together with bioinformatic analyses, was applied for BCR pair selection based on their abundance and specificity. Results: Twenty-three recombinant monoclonal antibodies (mAbs) were selected and expressed, and their antigen-binding capacities were characterized. About half of them demonstrated specific binding to their cognate antigen with relatively high binding affinities. Conclusions: These antibodies could be used for the future development of efficacious therapeutics, as well as for studying virus-neutralizing mechanisms. The current study, in which the single-cell sequencing approach was implemented for the development of antibodies targeting the RVFV surface proteins Gc and Gn, demonstrates the effective applicability of this technique for antibody discovery purposes.
Exploring the Epicarp Potential from Acrocomia aculeata Fruits: Chemical Analysis, Antioxidant and Antimicrobial Activities
Authors: Santos Fabiane da Conceição Vieira , Martins Gabriel Rocha , Luiz Sandra Regina da Silva , Oliveira Isadora de Araújo , Silva Leandro Pereira da , Silva Antonio Jorge Ribeiro da , Pereira Marcos Dias , Lopes Rosana Conrado , Alviano Celuta Sales , Moreno Daniela Sales Alviano
Published: February 2025

The interest in new sources of bioactive compounds has been driven by the search for natural antioxidants capable of attenuating the toxicity of reactive oxygen species, as well as the emergence of pathogens resistant to antimicrobials. In this sense, we explored the potential of the macaúba epicarp. Compounds such as piceatannol, 3,4,5,3′,5′-penta-hydroxy-trans-stilbene (PHS), and in lower amounts, resveratrol were identified in extracts through techniques such as medium-pressure liquid chromatography, HPLC-MS, and imaging mass spectrometry (IMS), which confirmed the exclusive localization of PHS and piceatannol in the outer epicarp. Extraction with aqueous acetone (Me2CO:H2O) and its EtOAC fraction showed the highest yields of stilbenes and, moreover, it efficiently increased the tolerance of Saccharomyces cerevisiae to oxidative stress. Additionally, the Me2CO:H2O extract presented antibacterial and anti-cryptococcal activity, with piceatannol and resveratrol increasing survival rates of Galleria mellonella subjected to fungal infection. In silico ADMET (absorption, distribution, metabolism, excretion and toxicity) analysis indicates low toxicity for piceatannol, PHS, and resveratrol, in addition to pharmacokinetic parameters that allow their use. These findings indicate the use of macaúba epicarp as a source of bioactive compounds valuable for the food, cosmetic, and pharmaceutical industries.
A Strategy-Driven Semantic Framework for Precision Decision Support in Targeted Medical Fields
Authors: Albagli-Kim Sivan , Beimel Dizza
Published: February 2025

Healthcare 4.0 addresses modernization and digital transformation challenges, such as home-based care and precision treatments, by leveraging advanced technologies to enhance accessibility and efficiency. Semantic technologies, particularly knowledge graphs (KGs), have proven instrumental in representing interconnected medical data and improving clinical decision-support systems. We previously introduced a semantic framework to assist medical experts during patient interactions. Operating iteratively, the framework prompts medical experts with relevant questions based on patient input, progressing toward accurate diagnoses in time-constrained settings. It comprises two components: (a) a KG representing symptoms, diseases, and their relationships, and (b) algorithms that generate questions and prioritize hypotheses—a ranked list of symptom–disease pairs. An earlier extension enriched the KG with a symptom ontology, incorporating hierarchical structures and inheritance relationships to improve accuracy and question-generation capabilities. This paper further extends the framework by introducing strategies tailored to specific medical domains. Strategies integrate domain-specific knowledge and algorithms, refining decision making while maintaining the iterative nature of expert–patient interactions. We demonstrate this approach using an emergency medicine case study, focusing on life-threatening conditions. The KG is enriched with attributes tailored to emergency contexts and supported by dedicated algorithms. Boolean rules attached to graph edges evaluate to TRUE or FALSE at runtime based on patient-specific data. These enhancements optimize decision making by embedding domain-specific goal-oriented knowledge and inference processes, providing a scalable and adaptable solution for diverse medical contexts.
Experimental Validation of Offset-Free Model-Based Predictive Control in Voltage Source Inverters for Grid Connected and Microgrids Applications
Authors: Ahuar Reinier López , Figueroa Dave , Agüero Juan C. , Silva César A.
Published: February 2025

This article presents the experimental validation of a model-based predictive control (MPC) strategy for the safe interconnection of voltage source inverters (VSI) with output LC filters for the grid connection of DC energy resources. The MPC is formulated as a quadratic programming (QP) problem and solved using the operator splitting quadratic programs (OSQP). The proposed approach incorporates integral action to achieve precise voltage magnitude reference tracking while accounting for modulated voltage limits and nominal current constraints within the control design. The effectiveness of the proposed strategy is validated through simulations conducted in MATLAB, demonstrating superior dynamic performance compared to the traditional hierarchical PI control. The implementation of the proposed MPC is experimentally verified on a VSI setup using the dSPACE MicroLabBox. The results confirm that the computational requirements are satisfied, establishing this approach as a practical alternative for modern power electronic systems. The proposed MPC for VSIs offers an effective approach to enforcing operational constraints, improving dynamic performance, and facilitating the robust integration of renewable energy sources in microgrids.
Determination of Renewable Energy Growth Using Cluster Analysis and Multi-Criteria Decision-Making Methods
Authors: Sevgi Eşiyok , Figen Antmen Z.
Published: February 2025

Energy plays an important role in both the economic and social development of countries and is a critical factor in human life. The high consumption of fossil fuels in energy production leads to serious environmental problems such as increasing greenhouse gas (GHG) emissions that lead to global warming and climate change. Many countries around the world have actively turned to renewable energy or sustainable energy sources in order to cope with the environmental crises caused by climate change. In this study, the renewable energy use performance of OECD countries in terms of sustainable development is evaluated. In the study, 38 countries were divided into three clusters for each year with the 13 variable K-means algorithm for the years 2018–2022. The criteria of the countries in the determined clusters were weighted with the CRITIC (Criteria Importance Through Intercriteria Correlation) method for each year during the study period. Countries with weighted criteria were ranked separately for each year within their own clusters using the COPRAS method. With these rankings, it is understood that the biggest share in achieving Türkiye’s “Net Zero 2053” targets among OECD countries is the transition from fossil fuels to renewable energy.
Relationship Between Vertical Ground Reaction Force and Acceleration from Wearable Inertial Measurement Units During Single-Leg Drop Landing After Anterior Cruciate Ligament Reconstruction
Authors: Suzuki Makoto , Ishida Tomoya , Matsumoto Hisashi , Kondo Kenichiro , Yamaguchi Shota , Kaneko Satoru , Inoue Chiharu , Aoki Yoshimitsu , Tohyama Harukazu , Samukawa Mina
Published: February 2025

The purpose of this study was to clarify the relationship between vertical ground reaction force (VGRF) and acceleration from wearable inertial measurement units (IMUs) during single-leg drop landing after anterior cruciate ligament reconstruction (ACLR). Twenty-six participants, 42.4 ± 5.3 weeks after ACLR, performed three single-leg drop landing trials bilaterally. The peak VGRF was assessed using a force plate. The resultant acceleration was calculated using IMUs attached to the shank, thigh, and lumbar region. Univariate regression analysis was performed to examine the linear relationship between the VGRF and resultant acceleration. The limb symmetry index (LSI) of the VGRF was linearly associated with the LSI of the resultant accelerations at the shank, thigh, and lumbar sensors (R2 = 0.166, p = 0.039; R2 = 0.525, p < 0.001; and R2 = 0.250, p = 0.009, respectively). In the involved limb, only the resultant acceleration at the thigh was a significant predictor of VGRF (R2 = 0.490, p < 0.001), whereas in the uninvolved limb, the resultant accelerations at the shank, thigh, and lumbar sensors were significant predictors of VGRF (R2 = 0.245, p = 0.010; R2 = 0.684, p < 0.001; and R2 = 0.412, p < 0.001, respectively). Caution may be required when using IMUs to predict VGRF asymmetry because the coefficient of determination for predicting VGRF is lower in the involved limb than in the uninvolved limb.
Genetic Diversity Among Independent Isolates of the Dolichocephalovirinae Subfamily
Authors: Ely Bert , Thomas Quill , Mohammadi Tannaz
Published: February 2025

Members of the Dolichocephalovirinae subfamily are giant viruses with an elongated head and a flexible tail that is used to infect Caulobacter strains. In this paper, we describe the isolation and characterization of nine newly isolated phages and present evidence that seven of these phages represent a new Dolichocephalovirinae genus that has significant differences from the four previously described Dolichocephalovirinae genera. In addition, since these new phages were isolated from a single sampling site over the course of three years, a comparison of their genome sequences reveals a low level of within-population diversity resulting from both single-nucleotide polymorphisms and insertions or deletions. A comparison of the host ranges of these phages suggests that differences in host susceptibility may be an important factor in maintaining this diversity.
Advances and Challenges in the Pursuit of Disease-Modifying Osteoarthritis Drugs: A Review of 2010–2024 Clinical Trials
Authors: Brandt Mckenzie D. , Malone Jason B. , Kean Thomas J.
Published: February 2025

Background/Objectives: Osteoarthritis (OA) is a highly prevalent, degenerative joint disease capable of causing severe pain and impaired mobility. Current treatments mitigate symptoms but do not cure the disease. The development of a disease-modifying osteoarthritis drug (DMOAD) could improve patient outcomes by slowing, halting, or reversing joint damage. Many DMOADs have progressed to clinical trials, but very few have made a significant impact, and none have been approved for clinical use. The purpose of this review is to present an update on the current status of DMOADs with a particular focus on results published since 2010. Methods: A comprehensive search was conducted within PubMed and ClinicalTrials.gov for novel DMOADs enrolled in phase II and III clinical trials between 1 January 2010 and 1 July 2024. Results: Eleven DMOAD candidates are reviewed and critically analyzed for their potential benefit in OA treatment—Lorecivivint (SM04690), TissueGene-C, Cindunistat (SD-6010), Sprifermin, UBX0101, TPX-100, GLPG1972/S201086, Lutikizumab (ABT-981), SAR113945, MIV-711, and LNA043—and relevant challenges to their development are discussed. Conclusions: Six DMOADs have demonstrated statistically significant evidence of a structural or symptomatic benefit without major safety concerns in phase II and III randomized controlled trials post-2010.
AI-Optimized Lattice Structures for Biomechanics Scaffold Design
Authors: Omigbodun Francis T. , Oladapo Bankole I.
Published: February 2025

This research paper explores the development of AI-optimized lattice structures for biomechanics scaffold design, aiming to enhance bone implant functionality by utilizing advanced human–AI systems. The primary objective is to create scaffold structures that mimic the mechanical properties of natural bone and improve bioactivity and biocompatibility, adapting to patient-specific needs. We employed polylactic acid (PLA), calcium hydroxyapatite (cHAP), and reduced graphene oxide (rGO) as base materials, leveraging their synergistic properties. The scaffolds were intricately designed using nTopology software (nTop 5.12) and fabricated via 3D printing techniques, optimizing for biomechanical load-bearing and cellular integration. The study’s findings highlight a notable enhancement in the mechanical properties of the scaffolds, with the Gyroid lattice design demonstrating a 20% higher energy-absorption capacity than traditional designs. Thermal and chemical analysis revealed a 15% increase in the thermal stability of the composites, enhancing their resilience under physiological conditions. However, the research identified minor inconsistencies in filament diameter during 3D printing, which could affect scaffold uniformity. These findings underscore the potential of integrating AI-driven design with advanced material composites in revolutionizing orthopedic implant technologies.
Sulfate-Resistant Clinker Base Cement with New Secondary Main Constituents: A Technical, Economic, and Environmental Analysis
Authors: Martínez Infante Miguel Ángel , Navarrete Rubia Benito , Vilches Arenas Luis Francisco
Published: February 2025

The Spanish cement sector must adapt its production model to a green economy model. This study focuses on the use of new secondary main constituents (SMCs) suitable for a cement plant that specializes in sulfate-resistant (SR) cement production, defining a framework of technical conditions for their usage and their economic and environmental feasibility. Low-calcium-carbonate-content albero, steel slags, and iron silicate were the tested SMCs; however, they are not currently permitted in cement manufacture. CEM I 42.5 R-SR 3 (type I-SR) was mixed with 5%, 20%, and 30% of these new SMCs. XRF, XRD, leaching and other chemical tests, setting, and hardening tests were performed with no significant issues. Albero is the best option, on the whole, because of the following characteristics: availability, >100 Mt; proximity, 3 km; and acceptable compressive strength level. However, black slag cement with 30% SMC after 28 days shows the best performance, with a compressive strength of 41.3 MPa compared to 35.3 MPa for albero cement and 56.5 MPa for the type I-SR reference. Albero and steel slag at 30% content are the best option according to the cost savings of 32% (−31.5 EUR/t and −31.6 EUR/t, respectively) compared to the type I-SR reference. Regarding the carbon footprint, albero and steel slag at 30% content have the least impact, showing a 31% reduction (−254.8 kg CO2/t and −255.2 kg CO2/t, respectively) compared to the type I-SR reference. The studied SMCs meet the analytical conditions and—with the corresponding regulatory changes—offer potential cost savings for SR cement production, exhibiting a competitive advantage.
Establishment of Multivalent Molybdenum Salt System and Its Effect on the Anti-Corrosion Performance of Insulating Coatings for Oriented Silicon Steel
Authors: Liu Ying , Yang Xiaoyu , Wu Lin , Li Jingwang , Zhang Baoguo , Wang Yichen , Wang Yuan , Ruan Shicheng , Sun Jiageng , Gu Xueyang , Hu Ya , Han Jun
Published: February 2025

Chromium salt fillers commonly used in current anti-corrosion coatings are highly toxic. However, due to the unique high–low valence transformation and passivation mechanisms of chromium-based functional fillers and their wide applicability, chromium-free coatings find it challenging to achieve the same performance and industry acceptance. This study introduces an innovative approach that uses zinc to reduce molybdate (MoO42−) in an acidic solution, thereby forming a multivalent MoO42− system (PMZ system), and applies it to chromium-free insulating coating for oriented silicon steel. The effects of reductant dosage on the valence composition of molybdenum in the PMZ system and the corrosion resistance of the coating were investigated. Additionally, the difference in the valence composition of molybdenum between the PMZ system and the multivalent phosphomolybdate system (PMNZ system) and its impact on corrosion resistance were studied. The results indicate that the PMZ system contains trivalent molybdenum and hexavalent molybdenum, while the PMNZ system contains pentavalent molybdenum and hexavalent molybdenum. The systems leverage the reactivity of lower-valence molybdenum to delay the corrosion by reacting with oxygen while maintaining the original mechanism of molybdenum salt fillers and forming sediment with iron ions to form a passivation layer. As the content of trivalent molybdenum in the PMZ system increases, the corrosion resistance of the insulating coating improves. When the amount of zinc added in the PMZ system is 0.006 g, the relative proportion of trivalent molybdenum reaches 20.52%, and the salt spray resistance of the coating developed with the PMZ system reaches 248 h with a corrosion area of less than 5%. When the contents of the main components and sodium molybdate in the PMZ coating and the PMNZ coating are the same, the corrosion resistance of the PMZ coating, which contains trivalent molybdenum, is better than that of the PMNZ coating, and the salt spray resistance exceeds 192 h.
Analysing Cyber Attacks and Cyber Security Vulnerabilities in the University Sector
Authors: Lallie Harjinder Singh , Thompson Andrew , Titis Elzbieta , Stephens Paul
Published: February 2025

Universities hold and process vast amounts of financial, user, and research data, which makes them prime targets for cybercriminals. In addition to the usual external threat actors, universities face a unique insider threat from students, who—alongside staff—may lack adequate cyber security training despite having access to various sensitive systems. This paper provides a focused assessment of the current cyber security threats facing UK universities, based on a comprehensive review of available information. A chronological timeline of notable cyber attacks against universities is produced, with incidents classified according to the CIA triad (Confidentiality, Integrity, Availability) and incident type. Several issues have been identified. Limited disclosure of attack details is a major concern, as full information is often withheld for security reasons, hindering institutions’ abilities to assess vulnerabilities thoroughly and respond effectively. Additionally, universities increasingly rely on third-party service providers for critical services, meaning that an attack on these external providers can directly impact university operations and data security. While SQL injection attacks, previously a significant issue, appear to have declined in frequency—perhaps reflecting improvements in defences—other threats continue to persist. Universities report lower levels of concern regarding DDoS attacks, potentially due to enhanced resilience and mitigation strategies; however, ransomware and phishing attacks remain prevalent. Insider threats, especially from students with varied IT skills, exacerbate these risks, as insiders may unknowingly or maliciously facilitate cyber attacks, posing ongoing challenges for university IT teams. This study recommends that universities leverage these insights, along with other available data, to refine their cyber security strategies. Developing targeted policies, strengthening training, and implementing international standards will allow universities to enhance their security posture and mitigate the complex and evolving threats they face.
Sentinel Node Biopsy in Laryngeal Cancer: A Systematic Review and Meta-Analysis
Authors: Sahafi Pegah , Sadeghi Ramin , Askari Emran , Sahebkari Azadeh , Ghahraman Mitra , Khadivi Ehsan , Khazaeni Kamran , Dabbagh Kakhki Vahid Reza , Harsini Sara
Published: February 2025

Background: Sentinel lymph node (SLN) biopsy offers a minimally invasive approach to staging lymph node involvement in laryngeal squamous cell carcinoma (SCC). Despite its adoption in other cancers, its accuracy in laryngeal SCC remains under investigation. This systematic review and meta-analysis evaluates the diagnostic performance of SLN mapping in laryngeal cancer. Methods: A systematic search of MEDLINE, Scopus, and Google Scholar was conducted using the keywords “(larynx OR laryngeal) AND sentinel”, with no date or language restrictions. Studies reporting SLN detection rates and/or sensitivity in laryngeal SCC were included. A random-effects model was applied for data pooling, and subgroup analyses were performed based on tumor location (supraglottic versus transglottic) and mapping material (radiotracer versus blue dye). Publication bias was assessed using funnel plots and statistical methods. Results: Nineteen studies, encompassing 366 patients, were analyzed. The overall pooled SLN detection rate was 90.8% (95% CI: 86–94.1), and sensitivity was 88% (95% CI: 81–94). Supraglottic tumors demonstrated superior outcomes (detection rate: 93.7%, sensitivity: 96%) compared to transglottic tumors (detection rate: 84.7%, sensitivity: 71%). Radiotracers significantly outperformed blue dye, with detection rates of 90.8% versus 81.5% and sensitivities of 88% versus 77%. Conclusions: SLN mapping is a reliable technique for staging laryngeal SCC, particularly for supraglottic tumors, where high detection rates and sensitivity were observed. Radiotracers offer superior performance compared to blue dye, underscoring their clinical value. These findings support the feasibility and accuracy of SLN biopsy in laryngeal cancer, while emphasizing the importance of tumor location and mapping material.
The Role of Dynamic Computed Tomography Angiography in Endoleak Detection and Classification After Endovascular Aneurysm Repair: A Comprehensive Review
Authors: Catasta Alexandra , Bianchini Massoni Claudio , Esposito Davide , Seitun Sara , Pratesi Giovanni , Cicala Nicola , Freyrie Antonio , Perini Paolo
Published: February 2025

Backgroud: The use of dynamic computed tomography angiography (dCTA) for the detection of endoleaks in patients who underwent endovascular repair of abdominal aortic aneurysms is gaining interest. This study aims to provide an overview of the current applications of dCTA technologies in vascular surgery. Methods: We performed a comprehensive review by searching in the PubMed database and Cochrane Library (last search: 1 November 2024). We included studies considering endoleak investigation after endovascular aneurysm repair (EVAR). We included papers that reported the outcome of applications of dCTA, excluding case reports or very limited case series (≤4). Finally, 14 studies regarding 377 computed tomography angiographies (CTA) were included and evaluated. Results: Persistent perfusion of the aneurysm sac is the most common complication after EVAR. Imaging-based surveillance post-EVAR is essential with the aim of early detection, characterization, and localization of endoleaks to guide therapeutic intervention or follow-up. dCTA detected 36 type I endoleaks versus 16 identified with standard CTA and 138 versus 95 type II endoleaks. Conclusions: The emergence of dCTA offers a promising solution through enhanced temporal resolution, allowing the visualization of real-time flow dynamics within the aneurysmal sac essential to establishing endoleak treatment or post-EVAR follow-up.
High-Precision Time Synchronization Based on Timestamp Mapping in Datacenter Networks
Authors: Li Lin , Chen Baihua , Duan Dexuan , Liu Lei
Published: February 2025

In datacenter networks, it is necessary to determine whether the path is congested according to the one-way delay of packets. The accurate measurement of one-way delay depends on the high-precision time synchronization of the source device and destination device. We have proposed a time synchronization method based on timestamp mapping, combined with in-band network telemetry technology to obtain the packet send timestamp and receive timestamp on devices. The results show that the maximum synchronization error is 19 ns, and the standard deviation is 7.8 ns with a 100 ms time synchronization period and offset adjustment strategy. The proposed time synchronization method achieves outstanding synchronization accuracy and stability.
The Application of an Effective Microbial Fermentation Product as a Biostimulant in the Bioremediation of Soil Contaminated with Benzo[a]pyrene
Authors: Xie Xin , Cui Tangbing
Published: February 2025

The efficiency of polycyclic aromatic hydrocarbon (PAH) removal by indigenous microorganisms is often suboptimal, resulting in constraints on its practical application. To enhance the degradation efficiency of benzo[a]pyrene (B[a]P) in contaminated soil, an effective microbial fermented product (EMF) was employed as a biostimulant. Our findings demonstrated that when 1‱ or 1‰ (w/w) of the EMF was applied to the B[a]P-contaminated soil for 21 days, the biodegradation rates of the B[a]P were 59.37% and 100%, respectively, which is much higher than that by the natural attenuation (18.79%). The abundance of the 16S rDNA and PAH-RHDα GP genes were both significantly increased due to the applied EMF. Soil enzymatic activities were also affected, to different degrees, by the addition of the EMF. The diversity, composition, and functionality of the soil microbial community also changed to varying degrees. These results suggest that the use of the EMF to enhance the biodegradation of the B[a]P in soil may hold promise for the microbial remediation of PAH-contaminated soils.
Climate Change Responses in the Saudi Maritime Sector: A Comprehensive Survey Study
Authors: Alghaffari Shadi , ElBauomy Aya , Farina Alessandro , Tonbol Kareem
Published: February 2025

This research investigates the Saudi marine sector’s response to climate change. In particular, it assesses industry stakeholder awareness, attitudes, and actions concerning climate-related challenges. A complete survey was distributed to a varied range of industry participants, including executives, managers, seafarers, and academics, to assess their understanding and involvement. The research indicates moderate levels of awareness and engagement, and significant challenges, including financial limitations, a lack of experience and knowledge, and insufficient regulatory support, to implementing more sustainable practices. The study also mentions ongoing attempts to satisfy International Maritime Organization (IMO) requirements, while present mitigating techniques have limited efficacy. Compared to other regions, Saudi Arabia mostly depends on fossil fuels, which poses specific difficulties in the transformation of sustainable maritime practices. The study identifies current strategies and proposes prospects such as raising financial assistance, and the adoption of innovative technologies. These findings are critical to providing the link between the Saudi marine sector and the climate targets, as well as the Saudi Vision 2030.
“When You Are in Rome, You Behave like the Romans”: International Students’ Experience of Integration Policies at a UK University
Authors: Isiaka Abass B.
Published: February 2025

Set within the context of the calls for a critical approach to the integration of international students, this paper draws on decolonial theories to examine the experiences of international students from Asian and African countries as they make sense of institutional policies designed to support their integration. The study uses a phenomenological approach to analyse focus group discussions and semi-structured interviews with international postgraduate students. The findings reveal how international students demand the decolonisation of a “Eurocentric” curriculum and a pedagogical framework that acknowledges their experiences and agencies as epistemic equals. Participants expressed diverse opinions about the institution’s academic culture, while inclusion policies are perceived as “tokenistic gestures” that fail to address racial invalidation and microaggressions. Findings from this study suggest the need for institutions in “post-race” times to transcend superficial equality discourses that commodify diversity as “good business sense”, targeting raced, mobile, and gendered “others” for inclusion by situating EDI strategies within a much longer history of global entanglements shaped by colonial, capitalist relations, rationalities, and subjectivities.
Geochemical Feed Zone Analysis Based on the Mineral–Solution Equilibrium Hypothesis
Authors: Marini Luigi , Orlando Stefano , Vespasiano Giovanni , Apollaro Carmine
Published: February 2025

In this work we propose a method of geochemical feed zone (FZ) analysis based on the assumption of thermochemical equilibrium between geothermal fluids and hydrothermal minerals, for each FZ contributing to well discharge. Using our method, it is possible to calculate the mass fraction and the chemistry of each FZ fluid, namely (1) the pH and the concentrations of SiO2, CO2, Na, K, Ca, Mg, HCO3, SO4, F, and Cl of FZ liquids, and (2) the concentrations of SiO2 and CO2 of FZ vapors. The method can be applied to wells with two single-phase FZs and to wells with either three single-phase FZs or two FZs, one single-phase and the other two-phase, with different temperature and fluid chemistry.
Enhancing Lime Dosage Determination for Lean Clay Soil Improvement: Significance of Plasticity Limit and Interpretation Approach
Authors: Babanas Hamza , Courcelles Benoît
Published: February 2025

Enhancing the engineering properties of clayey soils is crucial for improving their performance in construction projects. Determining the optimal lime dosage using the Chemical Fixation Point (CFP) concept presents challenges due to soil variability, interactions with chemical and organic components, and limitations in environmental or equipment conditions, especially in pH-based methods. These challenges are exacerbated when non-standard lime or lime residues replace conventional lime. This study highlights the plasticity limit as a key parameter for optimizing lime dosage and assessing treatment effectiveness with lime residues. By analyzing four lean clay soils through CFP tests, plasticity limit measurements, and resistance evaluations, an improved methodology for CFP determination using pH–dosage curves is proposed. The findings validate the feasibility of lime residues, emphasize the plasticity limit’s critical role in lean clay treatment, and extend its relevance to soil stabilization. This work enhances CFP test accuracy and supports sustainable, adaptable soil improvement strategies.
Drought Stress and the Modulation of Physiochemical Parameters and Antioxidant Enzymes in Grapevine Rootstocks: Insights into the Protective Role of Methyl Jasmonate
Authors: Iqbal Sabir , Elatafi Essam , Shaonan Li , Ali Shahzad , Hakeem Abdul , Badar Aziz Rana , Mauligen Emmie , Tariq Komal , Elhendawy Basma , Shangguan Lingfei , Fang Jinggui
Published: February 2025

The present study scrutinized the influence of foliar application of methyl jasmonate on the physiochemical characteristics and antioxidant enzymes of two grapevine rootstocks, ‘SO4’ (high drought tolerance) and ‘101-14’ (low drought tolerance), under drought conditions. The grapevine seedlings were sprayed with methyl jasmonate at 100 µM at 3-day intervals throughout the 28-day drought stress period. The results showed that treating both rootstocks with methyl jasmonate greatly minimized the adverse effects of reactive oxygen species caused by drought. Specifically, methyl jasmonate substantially reduced levels of malondialdehyde, hydrogen peroxide, and ion leakage while increasing photosynthetic pigment levels, soluble carbohydrates, proline, protein, and total phenols content. Additionally, applying methyl jasmonate improved the action of antioxidant enzymes like superoxide dismutase, ascorbate peroxidase, and catalase. This made the membranes of leaves more solid during drought conditions. Methyl jasmonate treatment reduced oxidative damage and improved mineral element (P, K, Mg, Ca, Fe, and Zn) accumulation in the green leaves of treated plants as opposed to the drought-untreated plants. These results were more noticeable in ‘SO4’ compared to ‘101-14’ rootstocks. Based on these results, applying methyl jasmonate at 100 µM to the leaves of grapevines may be considered a novel strategy for mitigating water scarcity in the grapevine production system.
Artificial-Intelligence-Based Smart Toothbrushes for Oral Health and Patient Education: A Review
Authors: Maini Vanshika , Roy Rupanjan , Gandhi Gargi , Chopra Aditi , Bhat Subraya G.
Published: February 2025

Artificial intelligence (AI) is one of the most promising technological advancements that have revolutionized the healthcare sector (medicine and dentistry). AI and its subsets, such as machine learning (ML), artificial neural networks (ANNs), and deep learning (DL), are being used in dentistry for data recording and management, patient education, radiographic interpretation, diagnosis, and treatment plans. AI and ML tools are commonly employed to improve oral hygiene and patient compliance. This narrative review paper discusses the innovations in AI-based plaque control aids (toothbrushes and interdental aids) that have improved overall health and patients’ hygiene compliance. We performed a literature search using different databases using the following keywords: “Artificial intelligence or machine learning or robots or robotics” AND “Toothbrush OR Smart toothbrush”. We included all the studies evaluating the use of any smart toothbrush, AI, or robotics for oral hygiene, plaque control, and patient education. AI-based smart toothbrushes helped patients to brush effectively by indicating the amount of pressure and the time taken for brushing, along with providing feedback on their brushing performance. Many microrobots can even recognize and automatically remove biofilm. Some AI-based smart toothbrushes are beneficial for children, patients with disabilities lack of manual dexterity, and neurological disorders. However, dental professionals choose AI-based smart toothbrushes for patients with poor oral hygiene and poor compliance for more effective control of oral diseases and to provide better health.
Intersecting Paths to Health: A Factor Analysis Approach to Socioeconomic and Environmental Determinants in Indiana
Authors: Ghorbany Siavash , Hu Ming , Yao Siyuan , Wang Chaoli , Sisk Matthew , Nguyen Quynh C. , Zhang Kai
Published: February 2025

Public health is the basis of society’s well-being and the nation’s development. Despite the importance of this factor and huge investments in the health sector in the United States, public health is facing enormous challenges due to the unknown nature of the influential variables in this sector. This research aims to investigate the influential variables on public health from different sources including the demographic features, built environment, socioeconomic variables, and environmental factors impact on 30 major health issues. To achieve this goal, this study utilizes exploratory factor analysis and multiple regression methods on the data obtained from the state of Indiana. The results indicated that health issues and influential factors can be divided into five main factors. This study identifies Health Burdens and Socioeconomic Disparities as a key factor, encompassing a wide range of health issues and socioeconomic variables, highlighting a significant association between socioeconomic disparities, poor health outcomes, and environmental exposures. The analysis underscores the intricate relationship between socioeconomic status, health behaviors, chronic diseases, and environmental factors, suggesting that effective interventions must address healthcare access, quality, and broader determinants of health to improve outcomes in affected communities. The results of this study can be helpful to public health policymakers, urban planners, and future public health researchers.
The Impact of Artificial Intelligence Adoption on the Quality of Financial Reports on the Saudi Stock Exchange
Authors: Alhazmi Abdulkarim Hamdan J. , Islam Sardar M. N. , Prokofieva Maria
Published: February 2025

The aim of this study was to explore how artificial intelligence (AI) impacts the quality of financial reporting, providing insights into new opportunities in this field for the Saudi context. This study employed the UTAUT theory to examine the adoption of AI technology in auditing practices. This study also utilized bibliometric analysis techniques through an academic literature review and content analyses of the documentary evidence. The implication of this study is that non-Big 4 audit firms should adopt AI-powered drones, which consequently enhance decision making, decrease audit fees, and enhance the quality of financial reports, and the efficiency and accuracy of audits. Furthermore, this paper recommends that non-Big 4 audit firms adopting AI should foster a culture of change to ensure quality audits and consistency, overcome resistance to the change, and support the integration of technologies such as AI-driven audit automation. Our study also indicated the importance of integrating AI with the IFRS, developing a new framework for AI in auditing practices, incorporating AI into auditing courses, and modernizing auditing using AI. These implications lead to financial reports of enhanced quality. The results indicated four clusters, with artificial intelligence being the most significant keyword occurrence. This study has limitations, such as the lack of consideration of cyber-attack risks on drones, which may reduce the reliability of financial reports. Based on the findings of this research, audit companies and regulatory agencies in Saudi Arabia, like the Saudi Capital Market Authority (CMA), may evaluate the integration of AI to improve the quality of financial reporting. Implementing AI is expected to enhance the quality of audits, automate reporting, and support regulatory compliance to foster confidence and transparency in the financial industry.
Innate Immunity in Insects: The Lights and Shadows of Phenoloxidase System Activation
Authors: Zdybicka-Barabas Agnieszka , Stączek Sylwia , Kunat-Budzyńska Magdalena , Cytryńska Małgorzata
Published: February 2025

Melanogenesis and melanin deposition are processes essential for the effective immune response of insects to various invaders. Phenoloxidase (PO), produced in specialized cells as an inactive precursor prophenoloxidase (proPO), is the key enzyme for melanin formation. The precursor is activated via limited proteolysis by a dedicated serine proteinase, which is the final element in the cascade of serine proteinases (SPs) that make up the PO system. Melanogenesis provides different cytotoxic molecules active in fighting infections, as well as melanin, which is important for sequestration of invaders. However, since the cytotoxic reactive compounds generated during melanization also pose a threat to host cells, strict control of the PO system is necessary for host self-protection. Different pathogens and parasites influence the PO system and melanization through various strategies, which allow them to survive and develop in the host insect body. In this review, we characterize “the lights and shadows” of PO system activation, indicating, on one hand, its advantages as an efficient and effective mechanism of the insect immune response and, on the other hand, the dangers for the insect host associated with the improper functioning of this system and selected strategies for regulating its activity by entomopathogenic organisms.
Gangliosides and Cholesterol: Dual Regulators of Neuronal Membrane Framework in Autism Spectrum Disorder
Authors: Puljko Borna , Štracak Marija , Kalanj-Bognar Svjetlana , Todorić Laidlaw Ivana , Mlinac-Jerkovic Kristina
Published: February 2025

Autism spectrum disorder (ASD) is a neurodevelopmental disorder with heterogeneous clinical presentation. Diagnosing ASD is complex, and the criteria for diagnosis, as well as the term ASD, have changed during the last decades. Diagnosis is made based on observation and accomplishment of specific diagnostic criteria, while a particular biomarker of ASD does not yet exist. However, studies universally report a disequilibrium in membrane lipid content, pointing to a unique neurolipid signature of ASD. This review sheds light on the possible role of cholesterol and gangliosides, complex membrane glycosphingolipids, in the development of ASD. In addition to maintaining membrane integrity, neuronal signaling, and synaptic plasticity, these lipids play a role in neurotransmitter release and calcium signaling. Evidence linking ASD to lipidome changes includes low cholesterol levels, unusual ganglioside levels, and unique metabolic profiles. ASD symptoms may be mitigated with therapeutic interventions targeting the lipid composition of membranes. However, restoring membrane equilibrium in the central nervous system remains a challenge. This review underscores the need for comprehensive research into lipid metabolism to uncover practical insights into ASD etiology and treatment as lipidomics emerges as a major area in ASD research.