bluuebunny/crossref_metadata_2025 huggingface dataset:
Dietary γ-Aminobutyric Acid Promotes Growth and Immune System Performance and Improves Erythropoiesis and Angiogenesis in Gibel Carp (Carassius auratus gibelio)
Authors: Bai Xinlan , Zhang Lu , Liang Hualiang , Huang Dongyu , Ren Mingchun , Mi Haifeng
Published: January 2025

This experiment aimed to investigate the effect of dietary supplementation of γ-aminobutyric acid (GABA) on the growth performance, immune response, and oxygen-transport-related factors of Gibel carp (Carassius auratus gibelio). An eight-week culturing experiment was designed with five experimental diets, with the actual GABA content being 368 mg/kg (G1, control group), 449 mg/kg (G2), 527 mg/kg (G3), 602 mg/kg (G4), and 675 mg/kg (G5). The results showed that the level of 527 mg/kg (G3) of GABA significantly increased the specific growth rate (SGR), weight gain rate (WGR), and final body weight (FBW) of Gibel carp, while the levels of alanine aminotransferase (ALT), aspartate aminotransferase (AST), total cholesterol (TC), and glucose (GLU) were also increased significantly. In addition, 527 mg/kg (G3) and 602 mg/kg (G4) of GABA significantly increased the total antioxidant capacity (T-AOC). The mRNA expression of tnf-α, tgf-β, and il-10 was significantly increased at the level of 449 mg/kg (G2). In terms of oxygen-carrying capacity, the mRNA expression of epo, tf, tfr1, ho-1, and vegf was markedly increased at the level of 449 mg/kg (G2). In conclusion, dietary GABA supplementation can boost growth performance, enhance the immune system, and increase oxygen-carrying capacity in Gibel carp.
Restoration of Sestrin 3 Expression Mitigates Cardiac Oxidative Damage in Ischemia–Reperfusion Injury Model
Authors: Park Mina , Cho Sunghye , Jeong Dongtak
Published: January 2025

Cardiac ischemia–reperfusion injury (IRI) occurs when blood flow is restored to the myocardium after a period of ischemia, leading to oxidative stress and subsequent myocardial cell damage, primarily due to the accumulation of reactive oxygen species (ROS). In our previous research, we identified that miR-25 is significantly overexpressed in pressure overload-induced heart failure, and its inhibition improves cardiac function by restoring the expression of SERCA2a, a key protein involved in calcium regulation. In this study, we aimed to investigate the role of miR-25 in the context of ischemia–reperfusion injury. We found that miR-25 was markedly upregulated under hypoxic conditions in both in vitro and in vivo models. Through in silico analysis, we identified Sestrin3 (SESN3), an antioxidant protein known for its protective effects against oxidative stress, as a novel target of miR-25. Based on these findings, we hypothesized that inhibiting miR-25 would restore Sestrin3 expression, thereby reducing ROS-induced myocardial cell damage and improving cardiac function. To test this hypothesis, we employed two model systems: a hypoxia/reoxygenation (H/R) stress model using H9c2 myoblasts and a surgically induced ischemia–reperfusion injury mouse model. Our results demonstrated that the use of miR-25 inhibitors significantly improved cardiac function and reduced myocardial damage in both models through the restoration of SESN3 expression. In conclusion, our findings suggest that targeting miR-25 may serve as a novel therapeutic modality to alleviate oxidative damage in the heart.
Defense and Security Mechanisms in the Internet of Things: A Review
Authors: Szymoniak Sabina , Piątkowski Jacek , Kurkowski Mirosław
Published: January 2025

The Internet of Things (IoT) transforms traditional technology by introducing smart devices into almost every field, enabling real-time monitoring and automation. Despite the obvious benefits, the rapid deployment of IoT presents numerous security challenges, including vulnerabilities in network attacks and communication protocol weaknesses. While several surveys have addressed these aspects, there remains a lack of understanding of integrating all potential defense mechanisms, such as intrusion detection systems (IDSs), anomaly detection frameworks, and authentication protocols, into a comprehensive security framework. To overcome this, the following survey aims to critically review existing security mechanisms in IoT environments and significantly fill these gaps. In particular, this paper reviews state-of-the-art approaches for intrusion detection, key agreement protocols, and anomaly detection systems, pointing out their advantages and disadvantages and identifying the gaps in each field requiring more research. We identify innovative strategies by systematically analysing existing approaches and propose a roadmap for enhancing IoT security. This work contributes to the field by offering a fresh perspective on defense mechanisms and delivering actionable insights for researchers and practitioners securing IoT ecosystems.
Product Design Analysis with Regard to Recycling and Selected Mechanical Properties
Authors: Diakun Jacek , Grzejda Rafał
Published: January 2025

The design process is a complex task in which different goals and properties have to be achieved. Nowadays, end-of-life issues are increasingly being considered in addition to typical design properties such as durability, appearance or quality. This article presents the product design process in relation to its recycling and mechanical properties. A plate connection in two design versions was chosen as the product: in the form of a multi-bolted connection and a multi-riveted connection. An analysis was conducted for several variants of these connections. Recycling properties were considered using various measures calculated from the Recycling Product Model, a type of product model that includes its recycling properties. Selected mechanical properties were determined using the Finite Element Method. Removing one bolt from the connection resulted in a stiffness reduction of almost 11%, while removing two bolts from the connection resulted in a stiffness reduction of almost 26%. In contrast, the removal of one rivet from the connection led to a stiffness reduction of about 3%, while the removal of two rivets from the connection led to a stiffness reduction of less than 5%.
Predicting Energy and Emissions in Residential Building Stocks: National UBEM with Energy Performance Certificates and Artificial Intelligence
Authors: Beltrán-Velamazán Carlos , Monzón-Chavarrías Marta , López-Mesa Belinda
Published: January 2025

To effectively decarbonize Europe’s building stock, it is crucial to monitor the progress of energy consumption and the associated emissions. This study addresses the challenge by developing a national-scale urban building energy model (nUBEM) using artificial intelligence to predict non-renewable primary energy consumption and associated GHG emissions for residential buildings. Applied to the case study of Spain, the nUBEM leverages open data from energy performance certificates (EPCs), cadastral records, INSPIRE cadastre data, digital terrain models (DTM), and national statistics, all aligned with European directives, ensuring adaptability across EU member states with similar open data frameworks. Using the XGBoost machine learning algorithm, the model analyzes the physical and geometrical characteristics of residential buildings in Spain. Our findings indicate that the XGBoost algorithm outperforms other techniques estimating building-level energy consumption and emissions. The nUBEM offers granular information on energy performance building-by-building related to their physical and geometrical characteristics. The results achieved surpass those of previous studies, demonstrating the model’s accuracy and potential impact. The nUBEM is a powerful tool for analyzing residential building stock and supporting data-driven decarbonization strategies. By providing reliable progress indicators for renovation policies, the methodology enhances compliance with EU directives and offers a scalable framework for monitoring decarbonization progress across Europe.
Does the Use of Two Major Opioids Have an Impact on Improving Pain Treatment and Quality of Life in Cancer Patients?—A Literature Review
Authors: Duarte Shirley , Rocha-Neves João , Dourado Marília , Ribeiro Hugo
Published: January 2025

Cancer pain is a highly prevalent problem and one of the most distressing symptoms in cancer patients. The management of cancer pain is one of the most significant challenges in the care of these patients. Cancer pain must be treated quickly and effectively as it affects the quality of life and reduces the patient’s life expectancy. Major opioids are recognized by the World Health Organization (WHO) as first-line treatment for moderate to severe cancer pain, but their use is often hampered by individual variations, comorbidities, and complications associated with cancer. Since the simultaneous use of two major opioids has become frequent, a narrative review was conducted, whose main objectives were to evaluate whether the combination of two major opioids improves pain and quality of life in cancer patients, considering their pharmacodynamic and pharmacokinetic properties and evaluate the impact of this combination on the frequency and intensity of side effects. The search for information was carried out in evidence-based medicine databases, namely PubMed/MEDLINE, Cochrane Library, Database of Abstracts of Reviews of Effects, National Guideline Clearinghouse, NHS Evidence and Index das Revistas Médicas Portuguesas using the MeSH terms “opioids” and “quality of life”. Articles and documents published between 1 January 2010 and 1 June 2023, in English, Portuguese and Spanish, were considered, including original articles, meta-analyses, systematic reviews and clinical guidelines. A total of 342 articles were retrieved and of these, only 13 were selected for full reading. The combination of opioids is based on the principle that different opioids act through different mechanisms, which can reduce dose-related adverse effects. Simultaneous use of two major opioids may allow for more modest increases in the equivalent dose of the second opioid, providing better pain control and reduced side effects such as nausea, vomiting, and constipation. More studies on the combination of opioids are needed to improve cancer pain treatment. The lack of personalized therapies limits the effectiveness of opioids, and variability in treatment responses requires individualized approaches. Personalized medicine, based on pharmacogenomics, is one of the most promising strategies to optimize pain relief and reduce adverse effects.
Adoption of Data-Driven Automation Techniques to Create Smart Key Performance Indicators for Business Optimization
Authors: Sishi Michael , Telukdarie Arnesh
Published: January 2025

Key performance indicators (KPIs) are crucial for managing business performance and optimization strategies. However, traditional KPIs are inflexible and cannot adapt to changes in staff, business units, functions, and processes. To address this issue, this paper proposes a method that combines statistics, machine learning (ML), and artificial intelligence (AI) to augment traditional KPIs with the flexibility of data-driven automation (DDA) techniques. This study builds a model that takes traditional KPIs generated by an integrated ecosystem as input data and assesses the suitability and correlation of the data using statistical techniques, such as Bartlett’s test of sphericity and the Kaiser–Meyer–Olkin (KMO) test of sampling adequacy. The model then employs exploratory Factor Analysis (FA) techniques to identify correlations and patterns, prioritize KPIs, and automatically generate smart KPIs for business optimization. The model is designed to adapt automatically by creating new KPIs as the business evolves and data change. A case study evaluation validates this approach, showing that DDA techniques can effectively create smart KPIs for business optimization. This approach provides a flexible and adaptable way to manage business performance and optimization strategies, enabling organizations to stay ahead of the competition and achieve their goals.
Climatic Background and Prediction of Boreal Winter PM2.5 Concentrations in Hubei Province, China
Authors: Huang Yuanyue , Tang Zijun , Yuan Zhengxuan , Zhang Qianqian
Published: January 2025

This study investigates the climatic background of winter PM2.5 (particulate matter with a diameter of 2.5 micrometers or smaller) concentrations in Hubei Province (DJF-HBPMC) and evaluates its predictability. The key findings are as follows: (1) Elevated DJF-HBPMC levels are associated with an upper-tropospheric northerly anomaly, a deepened southern branch trough (SBT) that facilitates southwesterly flow into central and eastern China, and a weakened East Asian winter monsoon (EAWM), which reduces the frequency and intensity of cold air intrusions. Near-surface easterlies and an anomalous anticyclonic circulation over Hubei contribute to reduced precipitation, thereby decreasing the dispersion of pollutants and leading to higher PM2.5 concentrations. (2) Significant correlations are observed between DJF-HBPMC and sea surface temperature (SST) anomalies in specific oceanic regions, as well as sea-ice concentration (SIC) anomalies near the Antarctic. For the atmospheric pattern anomalies over Hubei Province, the North Atlantic SST mode (NA) promotes the southward intrusion of northerlies, while the Northwest Pacific (NWP) and South Pacific (SPC) SST modes enhance wet deposition through increased precipitation, showing a negative correlation with DJF-HBPMC. Conversely, the South Atlantic–Southwest Indian Ocean SST mode (SAIO) and the Ross Sea sea-ice mode (ROSIC) contribute to more stable local atmospheric conditions, which reduce pollutant dispersion and increase PM2.5 accumulation, thus exhibiting a positive correlation with DJF-HBPMC. (3) A multiple linear regression (MLR) model, using selected seasonal SST and SIC indices, effectively predicts DJF-HBPMC, showing high correlation coefficients (CORR) and anomaly sign consistency rates (AS) compared to real-time values. (4) In daily HBPMC forecasting, both the Reversed Unrestricted Mixed-Frequency Data Sampling (RU-MIDAS) and Reversed Restricted-MIDAS (RR-MIDAS) models exhibit superior skill using only monthly precipitation, and the RR-MIDAS offers the best balance in prediction accuracy and trend consistency when incorporating monthly precipitation along with monthly SST and SIC indices.
Early-Stage Luminal B-like Breast Cancer Exhibits a More Immunosuppressive Tumor Microenvironment than Luminal A-like Breast Cancer
Authors: Moura Tânia , Caramelo Olga , Silva Isabel , Silva Sandra , Gonçalo Manuela , Portilha Maria Antónia , Moreira João N. , Gil Ana M. , Laranjeira Paula , Paiva Artur
Published: January 2025

Background: Breast cancer is a heterogeneous malignant disease with a varying prognosis and is classified into four molecular subtypes. It remains one of the most prevalent cancers globally, with the tumor microenvironment playing a critical role in disease progression and patient outcomes. Methods: This study evaluated tumor samples from 40 female patients with luminal A and B breast cancer, utilizing flow cytometry to phenotypically characterize the immune cells and tumor cells present within the tumor tissue. Results: The luminal B-like tumor samples exhibited increased infiltration of CD4+ cells, regulatory T cells (Tregs), and Th17 cells and decreased levels of NK cells, γδ T cells, Th1 cells, and follicular T cells, which is indicative of a more immunosuppressive tumor microenvironment. Conclusions: These findings suggest that luminal B-like tumors have a microenvironment that is less supportive of effective anti-tumor immune responses compared to luminal A tumors. This study enhances the understanding of the immunological differences between luminal subtypes of breast cancer and identifies potential new therapeutic targets and biomarkers that could drive advancements in precision medicine for breast cancer management.
Machine-Learning-Based Biomechanical Feature Analysis for Orthopedic Patient Classification with Disc Hernia and Spondylolisthesis
Authors: Nasef Daniel , Nasef Demarcus , Sawiris Viola , Girgis Peter , Toma Milan
Published: January 2025

(1) Background: The exploration of various machine learning (ML) algorithms for classifying the state of Lumbar Intervertebral Discs (IVD) in orthopedic patients is the focus of this study. The classification is based on six key biomechanical features of the pelvis and lumbar spine. Although previous research has demonstrated the effectiveness of ML models in diagnosing IVD pathology using imaging modalities, there is a scarcity of studies using biomechanical features. (2) Methods: The study utilizes a dataset that encompasses two classification tasks. The first task classifies patients into Normal and Abnormal based on their IVDs (2C). The second task further classifies patients into three groups: Normal, Disc Hernia, and Spondylolisthesis (3C). The performance of various ML models, including decision trees, support vector machines, and neural networks, is evaluated using metrics such as accuracy, AUC, recall, precision, F1, Kappa, and MCC. These models are trained on two open-source datasets, using the PyCaret library in Python. (3) Results: The findings suggest that an ensemble of Random Forest and Logistic Regression models performs best for the 2C classification, while the Extra Trees classifier performs best for the 3C classification. The models demonstrate an accuracy of up to 90.83% and a precision of up to 91.86%, highlighting the effectiveness of ML models in diagnosing IVD pathology. The analysis of the weight of different biomechanical features in the decision-making processes of the models provides insights into the biomechanical changes involved in the pathogenesis of Lumbar IVD abnormalities. (4) Conclusions: This research contributes to the ongoing efforts to leverage data-driven ML models in improving patient outcomes in orthopedic care. The effectiveness of the models for both diagnosis and furthering understanding of Lumbar IVD herniations and spondylolisthesis is outlined. The limitations of AI use in clinical settings are discussed, and areas for future improvement to create more accurate and informative models are suggested.
Becoming a Caregiver: The Role of the Environment in the Process of Children Becoming Responsible for Others
Authors: Remorini Carolina
Published: January 2025

This article aims to illustrate the pivotal role that the environment plays in early child development (ECD), drawing upon data derived from the ethnographic research on children’s daily routines. Participant observation and in-depth interviews were conducted over the course of several fieldwork periods (2013–2018). The concept of “mutual raising” is employed to examine the daily interactions between middle-aged children and their domestic animals. To gain an insight into how children develop sophisticated and ecologically relevant skills to become autonomous and responsible for the care of others within the context of environmental interdependence, we present and analyze a cultural practice that is salient to the identity and way of life in rural communities of the Andean region in South America: becoming a shepherd. Considering the aforementioned findings, it can be posited that being able to care for others represents a significant developmental milestone. This discussion highlights the limitations of the dominant theoretical and disciplinary lens through which ECD is currently studied, those so-called W.E.I.R.D societies. Consequently, it is imperative to advocate for an integrative and transdisciplinary framework for ECD studies that incorporates anthropological evidence and the cultural experiences of children and families who have been historically marginalized by dominant ECD models.
Study on the Dynamic Evolution of Transverse Collusive Bidding Behavior and Regulation Countermeasures Under the “Machine-Managed Bidding” System
Authors: Zhang Zongyuan , Liu Jincan , Zhang Zhitian , Chen Bin
Published: January 2025

The Machine-Managed Bidding (MMB) system is an innovative bidding mode implemented by the Chinese government to mitigate collusive bidding behavior. Prior studies have focused minimally on the bidding mechanism and the possible collusive bidding behavior under this mode. The objectives of this study are to analyze the bidding mechanism and the dynamic evolution of collusive bidding behavior under the MMB system and provide targeted regulation countermeasures. To this end, this study develops an evolutionary game model among collusion initiators, free bidders, and regulators, explores possible scenarios for evolutionarily stable strategies, and performs sensitivity analysis of critical parameters utilizing MATLAB software (Version R2024a) based on empirical data. Results indicate that: (1) The MMB model significantly mitigates vertical collusive bidding behavior but lacks measures for governing transverse collusive bidding; (2) The game model has five evolutionarily stable strategies, with the one where the collusion initiator adopting the “non-collude” strategy, the free bidder adopting the “bid” strategy, and the regulator adopting the “negative regulate” strategy being the optimal evolutionary stable strategy; (3) Decreasing the costs associated with preparing bid documents, enhancing supervision costs, increasing the technical complexity of collusive bidding, and expanding the total number of construction enterprises with high-credit and low-credit ratings can expedite the evolution of the three participants toward the optimal evolutionarily stable strategy. This study supplements current knowledge on the regulation of collusive bidding behavior and enriches the knowledge framework of the MMB model. This study also provides insights for policymakers to guarantee the smooth implementation of the MMB.
Emotional Design of Interior Spaces: Exploring Challenges and Opportunities
Authors: Rui Liang , Firzan Muhammad
Published: January 2025

At present, the integration of cultural and emotional aspects in interior designs is considered to be crucial. The combined emotional and new Chinese decorative style effects of interior spaces have not been examined adequately in previous studies. Thus, this study focuses on the role of new Chinese decorative elements in influencing emotional aspects within the context of interior design in China. To fulfil this aim, a qualitative approach was utilized. For this purpose, the data is gathered in two phases. In phase I, semi-structured interviews were utilized to collect data from 5 interior designers. In phase II, data was collected from a focus group discussion with 6 experts. Nvivo 12 software was used for conducting a thematic analysis of the collected transcripts within the context of interview strategy. However, for focus group discussion, content analysis was conducted. The findings from five interior designers showed that emotional aspects in interior designs are impacted by cultural elements. Moreover, numerous challenges in interior design can be overcome by the integration of emotional strategies. The results have shown that the emotional and cultural aspects are crucial for the development of creative interior spaces. Three levels of emotional design have been identified from focus group discussion. Visual aesthetic level comprises of novelty, color conformity, order and sequence, and richness of design. Three main functional levels are usability, comfort, and privacy. Individual level consists of culture, personalization, and fashion elements. Therefore, this study can be effective in promoting the development of creative interior spaces with a comprehensive focus on the levels of emotional design in the context of the new Chinese decorative style.
An Evaluation of Rare Cancer Policies in Europe: A Survey Among Healthcare Providers
Authors: Kostadinov Kostadin , Iskrov Georgi , Musurlieva Nina , Stefanov Rumen
Published: January 2025

Rare cancers, defined as those with an annual incidence of fewer than six cases per 100,000 individuals, are associated with significant health inequalities. This study aimed to assess the knowledge, attitudes, and perceptions of healthcare providers with expertise in rare cancers regarding the effectiveness of enacted or planned rare cancer policies across Europe. Between 25 March 2023 and 5 March 2024, we conducted an online survey targeting 738 healthcare providers affiliated with the European Reference Networks and the Organization of European Cancer Institutes, yielding 92 complete responses from 28 European countries (response rate: 12.5%). While a significant portion of respondents were unaware of their country’s legal definitions for rare cancers, 67.4% acknowledged that national cancer plans prioritized rare cancers. These plans received the highest ratings for their evidence-based interventions and monitoring efforts. The integration of rare cancer policies into broader oncology frameworks was the preferred policy model. National cancer registries were highly rated for confidentiality and validity but scored the lowest for cost-effectiveness. Government funding was deemed crucial for cancer screening programs. The disease burden and unmet health needs primarily influenced reimbursement decisions in the field of rare cancers. Respondents rated palliative care as more effective in adults with rare cancers compared to in children, particularly regarding symptom management. We confirmed significant variability in rare cancer policy evaluations across Europe, the necessity for a common EU-level definition for rare cancers, and a shift in reimbursement and policy framework models, highlighting the importance of policy integration and enhanced collaboration. However, given the limitations of the study, such as small sample size and possible unstudied confounding factors, we should interpret our findings with caution. A systematic policy review and multistakeholder assessment in the future could complement our results.
Diagnostic Performance of PIVKA-II in Italian Patients with Hepatocellular Carcinoma
Authors: Guarneri Valeria , Loggi Elisabetta , Ramacieri Giuseppe , Serra Carla , Vukotic Ranka , Vitale Giovanni , Scuteri Alessandra , Cursaro Carmela , Margotti Marzia , Galli Silvia , Caracausi Maria , Brodosi Lucia , Gabrielli Filippo , Andreone Pietro
Published: January 2025

Background and Aims: Hepatocellular carcinoma (HCC) represents the second leading cause of cancer deaths worldwide. Six-month imaging along with alpha-fetoprotein (AFP) serum levels detection are the current gold standard to exclude HCC. Protein induced by vitamin K absence (PIVKA-II) has been proposed as a potential screening biomarker for HCC. This study was designed to evaluate the role of PIVKA-II as diagnostic HCC marker, and the correlation between PIVKA-II levels and HCC stage. Methods: PIVKA-II levels were assessed on serum samples of Italian patients. The study population included 80 patients with HCC, 111 with liver cirrhosis (LC), and 111 with chronic hepatitis C (CHC). Results: PIVKA-II serum levels progressively increase from patients with CHC to patients with HCC. In the HCC group, PIVKA-II values are higher in the more advanced stages of the disease, assessed by the Barcelona Clinic Liver Cancer (BCLC) staging system (BCLC-B vs. BCLC-A vs. BCLC-0). Youden’s index analysis identified a value >37 mAU/mL as the optimal threshold for the best combination of sensitivity and specificity (80% and 76%, respectively) and, at the best cut-off of 5.2 ng/mL, AFP yielded 53% specificity and 78% sensitivity. The combination of PIVKA-II and AFP reached positive and negative predictive values of 73.9% and 94.2%, respectively. Conclusions: PIVKA-II levels are increased in the HCC patients, compared to control groups. The increase is more evident in patients with advanced HCC. The diagnostic performance of PIVKA-II seems more sensitive than AFP while the combination of PIVKA-II and AFP resulted in the best diagnostic accuracy, reaching 73.9% positive predictive value and 94.2% negative predictive value, thus improving the diagnostic capability of the single marker.
Current Evidence on the Relation Between Microbiota and Oral Cancer—The Role of Fusobacterium nucleatum—A Narrative Review
Authors: Chiscuzzu Federica , Crescio Claudia , Varrucciu Simona , Rizzo Davide , Sali Michela , Delogu Giovanni , Bussu Francesco
Published: January 2025

Oral squamous cell carcinoma (OSCC) is one the most prevalent head and neck cancers and represents a major cause of morbidity and mortality worldwide. The main established risk factors for OSCC include tobacco and alcohol consumption and betel quid chewing, which may contribute alone or in combination with other environmental factors to carcinogenesis. The oral microbiota is emerging as a key player in the establishment of the molecular and cellular mechanisms that may trigger or promote carcinogenesis, including in the oral cavity. Among the bacterial species found in the oral microbiota, Fusobacterium nucleatum, an anaerobic bacterium commonly found in oral biofilms and a periodontal pathogen, has gained attention due to solid evidence implicating F. nucleatum in colorectal cancer (CRC). F. nucleatum has been shown to induce chronic inflammation, promote cell proliferation and trigger cellular invasion while deploying immune evasion mechanisms. These experimental findings were first obtained in in vitro and in vivo models of CRC and are being confirmed in studies on OSCC. In this review, we summarize the most recent findings on the role of F. nucleatum in OSCC, discuss the clinical implications in terms of prognosis and provide an overview of the key mechanisms involved. Moreover, we identify research questions and aspects that require investigations to clarify the role of F. nucleatum in OSCC. We anticipate that studies in this emerging field may have a significant clinical impact on the diagnosis, prognosis and management of OSCC.
Hydrodeoxygenation of Phenolic Compounds and Lignin Bio-Oil Surrogate Mixture over Ni/BEA Zeolite Catalyst and Investigation of Its Deactivation
Authors: Margellou Antigoni G. , Zormpa Foteini F. , Karfaridis Dimitrios , Karakoulia Stamatia A. , Triantafyllidis Konstantinos S.
Published: January 2025

Lignin is one of the main structural components of lignocellulosic biomass and can be utilized to produce phenolic compounds that can be converted downstream to cycloalkanes and aromatics, which are useful as drop-in road or aviation biofuels. Within this study, the hydrodeoxygenation of model phenolic/aromatic compounds and surrogate mixture simulating the light fraction of lignin fast-pyrolysis bio-oil was performed under mild reaction conditions. Ni/BEA zeolite was selected as a catalyst to investigate the conversion and the product selectivity of alkyl phenols (phenol, catechol, cresols), methoxy-phenols (guaiacol, syringol, creosol), aromatics (anisole, 1,2,3-trimethoxybenzene) and dimer (2-phenoxy-1-phenyl ethanol) compounds towards (alkyl)cycloalkanes. The hydrodeoxygenation of a surrogate mixture of eleven phenolic and aromatic compounds was then studied by investigating the effect of reaction conditions (temperature, time, H2 pressure, surrogate mixture concentration, and catalyst-to-feed ratio). The conversion of model compounds was in the range of 80–100%, towards a 37–81% (alkyl)cycloalkane yield, being strongly dependent on the complexity/side-chain group of the phenolic/aromatic ring. Regarding the hydrodeoxygenation of the surrogate mixture, 59–100% conversion was achieved, with up to a 72% yield of C6–C9 cycloalkanes. Characterization of spent catalysts showed that the hydrodeoxygenation of surrogate mixture led to carbonaceous depositions on the catalyst, which can be limited under lower temperatures and longer reaction conditions, while after regeneration, the physicochemical properties of catalysts can be partially recovered.
Hyaluronic Acid-Based Drug Delivery Systems for Cancer Therapy
Authors: Pashkina Ekaterina , Bykova Maria , Berishvili Maria , Lazarev Yaroslav , Kozlov Vladimir
Published: January 2025

In recent years, hyaluronic acid (HA) has attracted increasing attention as a promising biomaterial for the development of drug delivery systems. Due to its unique properties, such as high biocompatibility, low toxicity, and modifiability, HA is becoming a basis for the creation of targeted drug delivery systems, especially in the field of oncology. Receptors for HA overexpressed in subpopulations of cancer cells, and one of them, CD44, is recognized as a molecular marker for cancer stem cells. This review examines the role of HA and its receptors in health and tumors and analyzes existing HA-based delivery systems and their use in various types of cancer. The development of new HA-based drug delivery systems will bring new opportunities and challenges to anti-cancer therapy.
810-nm Photobiomodulation Evokes Glutamate Release in Normal and Rotenone-Dysfunctional Cortical Nerve Terminals by Modulating Mitochondrial Energy Metabolism
Authors: Ravera Silvia , Farsetti Elisa , Maura Guido , Marcoli Manuela , Bozzo Matteo , Cervetto Chiara , Amaroli Andrea
Published: January 2025

The dysfunction of mitochondria, the primary source of cellular energy and producer of reactive oxygen species (ROS), is associated with brain aging and neurodegenerative diseases. Scientific evidence indicates that light in the visible and near-infrared spectrum can modulate mitochondrial activity, a phenomenon known in medicine as photobiomodulation therapy (PBM-t). The beneficial effects of PBM-t on dementia and neurodegeneration have been reviewed in the literature. However, the molecular mechanisms underlying these findings have yet to be fully elucidated. This study investigates the mechanism behind dose-dependent glutamate release in nerve terminals after irradiation with 810 nm, 1 W for 60 s continuous, 1 cm2, 1 W/cm2, 60 J, 60 J/cm2 (810 nm-1 W) or 810 nm, 0.1 W for 60 s continuous, 1 cm2, 0.1 W/cm2, 6 J, 6 J/cm2 (810 nm-0.1 W), focusing on mitochondrial activities. The results show that PBM modulated the mitochondrial metabolism of cortical nerve terminals and supported a power-dependent increase in oxidative phosphorylation (OxPhos) activity when stimulated with pyruvate plus malate (P/M) or succinate (succ) as respiratory substrates. The PBM-induced increase in OxPhos was sensitive to adding rotenone (Complex I inhibitor) and antimycin A (Complex III inhibitor) when synaptosomes were stimulated with P/M, but only to antimycin A when stimulated with succ. This allowed us to observe that the glutamate efflux, disrupted in the presence of rotenone, was partially restored by PBM due to the increase in the OxPhos pathway led by Complex II. This evidence suggests that PBM, acting on mitochondria, could facilitate physiological communication within the neuron-astrocyte network through vesicular glutamate release, potentially regulating healthy brain function and brain dysfunction.
Foreign Bodies in Lower Airway in Children: Brief Review and Clinical Experience
Authors: Markov Stoyan , Markova Petya , Karavelikova Ivanka , Halacheva Hristina
Published: January 2025

Background: Foreign body aspiration is a preventable occurrence that carries a high risk of mortality in the pediatric population. Clinically, foreign body aspiration manifests as cough, followed by choking, which might not be given any consideration by the caregivers of the child. An episode of sudden wheezing can also raise the suspicion of a foreign body in the lower respiratory tract. The clinical findings depend on the type, size, and localization of the foreign body and include persistent cough, localized airway resistance, localized or diffuse wheezing, and difficulty breathing. A bronchoscopy is the procedure of choice for the removal of foreign bodies. Flexible bronchoscopy is increasingly being used as the initial diagnostic procedure in children with an uncertain history of choking, in the absence of physical and radiological lung changes, and in chronic complaints requiring the exclusion of a foreign body in the airways. Thus, the aim of this study was to describe our clinical experience with lower respiratory tract foreign body extraction in children over a period of five years. Materials and Methods: Over a 5-year period, 154 patients under the age of 18 underwent a bronchoscopy due to a suspected foreign body in the lower respiratory tract. Of these patients, 92% had an incident leading to acute respiratory distress, and 8% had no definite data on such an event in the anamnesis. Results: A foreign body in the respiratory tract was found in and extracted from 50 patients, and foreign bodies were absent in 104 of the cases. Conclusions: If a foreign body enters the lower respiratory tract, immediate and adequate actions are required to solve the problem. A bronchoscopy should be conducted in every suspected case of foreign body aspiration.
Sense of Happiness and Wellness Among Adolescents and Their School Environment
Authors: Lesinskienė Sigita , Šambaras Rokas , Ridzvanavičiūtė Ieva , Jūraitytė Izabelė , Skabeikaitė Severija , Stanelytė Urtė , Kubilevičiūtė Margarita
Published: January 2025

Background: Happiness and health are crucial elements of adolescents’ lives that significantly impact mental well-being and societal engagement. This article hypothesizes that a suitable school environment may be one of the components that can impact students’ subjective feelings of happiness and health. This research aimed to determine the association between a negative school environment, such as experiencing bullying and feeling insecure at school, and students’ happiness and health. Methods: The study was conducted in 2023, surveying students in grades 7–10 from two Lithuanian cities and their districts. The study included 1992 students (females 50.2%) with a mean age of 14.53 ± 1.12. Results: It was observed that male students felt healthier and happier than females. Also, male students felt safer at school more often than females. A positive correlation was found between a student’s feeling of safety at school and their happiness and health. Regression analysis revealed that a feeling of safety at school was the most significant positive factor associated with male students’ sense of happiness and health. Also, the most important factors for females were a feeling of safety at school, bullying, and how often teachers stop bullying. Conclusions: It was found that feelings of insecurity at school, experiences of bullying, and how often teachers stop bullying can be associated with students’ subjective feelings of happiness and well-being. School environmental factors can affect students’ happiness and well-being differently depending on gender. It is essential to focus on vulnerable student populations when creating preventive programs to enhance adolescents’ sense of safety in schools.
Evaluating the Nolla Method for Dental Age Estimation in Children from Northwestern Romania
Authors: Moga Ligia Ioana , Moca Abel Emanuel , Iurcov Raluca , Slăvescu Dan , Vaida Ligia Luminița
Published: January 2025

Background/Objectives: Dental age estimation plays a critical role in pediatric dentistry, orthodontics, and forensic medicine. The Nolla method, widely applied globally, has shown variable accuracy across different populations. This study aimed to evaluate the applicability and accuracy of the Nolla method in estimating the dental age of Romanian children and to identify potential discrepancies between dental and chronological ages. Methods: A retrospective analysis was conducted on 860 panoramic radiographs from pediatric patients aged 3–15.9 years in Oradea, Romania. The Nolla method was applied to estimate dental age, and the results were compared with chronological age. Statistical analyses, including Wilcoxon signed-rank and Mann–Whitney U tests, were performed to evaluate the accuracy and consistency of the Nolla method. Results: The study analyzed 860 panoramic radiographs (356 boys and 504 girls). The average chronological age was 9.95 ± 2.48 years, while the average dental age, as estimated using the Nolla method, was 8.43 ± 2.13 years. Dental age was consistently lower than chronological age, with a median difference of 1.5 years (IQR: 0.9–2.2 years). Among the 13 age groups, the highest representation was found in the 8–8.9-year (14.7%) and 9–9.9-year (13.3%) groups. Gender differences were statistically significant (p < 0.001); girls demonstrated a larger median discrepancy of 1.7 years (IQR: 1.1–2.3 years) compared to boys at 1.15 years (IQR: 0.6–1.8 years). Notably, discrepancies increased with age, peaking at 2.6 years in the 14–14.9-year group (4.7% of the sample). The youngest group (3–3.9 years) showed the smallest difference of 0.3 years. Significant differences between chronological and dental ages were observed in 87.5% of the sample. Conclusions: The Nolla method consistently underestimated dental age in Romanian children, with greater discrepancies in older age groups and among girls. These findings highlight the need for the population-specific calibration of the method to improve its accuracy in both clinical and forensic contexts.
First-Principles Study on the Mechanical Properties of Ni3Sn4-Based Intermetallic Compounds with Ce Doping
Authors: Zhao Ruisheng , Cao Yan , He Jinhu , Chen Jianjun , Liu Shiyuan , Yang Zhiqiang , Lin Jinbao , Chang Chao
Published: January 2025

Ni3Sn4 intermetallic compound (IMC) is a critical material in modern electronic packaging and soldering technology. Although Ni3Sn4 enhances the strength of solder joints, its brittleness and anisotropy make it prone to crack formation under mechanical stress, such as thermal cycling or vibration. To improve the plasticity of Ni3Sn4 and mitigate its anisotropy, this study employs first-principles calculations to investigate the mechanical properties and electronic structure of the doped compounds Cex Ni3−xSn4 (x = 0, 0.5, 1, 1.5, 2) by adding the rare earth element Ce. The results indicate that the structure Ce0.5 Ni2.5Sn4 has a lower formation enthalpy (Hf) compared to other doped structures, suggesting enhanced stability. It was found that all structures exhibit improved plasticity with Ce doping, while the Ce0.5 Ni2.5Sn4 structure shows relatively minor changes in hardness (H) and elastic modulus, along with the lowest anisotropy value (AU). Analysis of the total density of states (TDOS) and partial density of states (PDOS) reveals that the electronic properties are primarily influenced by the Ni-d and Ce-f orbitals. At the Fermi level, all Cex Ni3−xSn4 (x = 0, 0.5, 1, 1.5, 2) structures exhibit metallic characteristics and distinct electrical conductivity. Notably, the TDOS value at the Fermi level for Ce0.5 Ni2.5Sn4 lies between those of Ni3Sn4 and other doped structures, indicating good metallicity and conductivity, as well as relative stability. Further PDOS analysis suggests that Ce doping enhances the plasticity of Ni3Sn4. This study provides valuable insights for the further application of rare earth elements in electronic packaging materials.
Leveraging Neural Trojan Side-Channels for Output Exfiltration
Authors: Meyers Vincent , Hefenbrock Michael , Gnad Dennis , Tahoori Mehdi
Published: January 2025

Neural networks have become pivotal in advancing applications across various domains, including healthcare, finance, surveillance, and autonomous systems. To achieve low latency and high efficiency, field-programmable gate arrays (FPGAs) are increasingly being employed as accelerators for neural network inference in cloud and edge devices. However, the rising costs and complexity of neural network training have led to the widespread use of outsourcing of training, pre-trained models, and machine learning services, raising significant concerns about security and trust. Specifically, malicious actors may embed neural Trojans within NNs, exploiting them to leak sensitive data through side-channel analysis. This paper builds upon our prior work, where we demonstrated the feasibility of embedding Trojan side-channels in neural network weights, enabling the extraction of classification results via remote power side-channel attacks. In this expanded study, we introduced a broader range of experiments to evaluate the robustness and effectiveness of this attack vector. We detail a novel training methodology that enhanced the correlation between power consumption and network output, achieving up to a 33% improvement in reconstruction accuracy over benign models. Our approach eliminates the need for additional hardware, making it stealthier and more resistant to conventional hardware Trojan detection methods. We provide comprehensive analyses of attack scenarios in both controlled and variable environmental conditions, demonstrating the scalability and adaptability of our technique across diverse neural network architectures, such as MLPs and CNNs. Additionally, we explore countermeasures and discuss their implications for the design of secure neural network accelerators. To the best of our knowledge, this work is the first to present a passive output recovery attack on neural network accelerators, without explicit trigger mechanisms. The findings emphasize the urgent need to integrate hardware-aware security protocols in the development and deployment of neural network accelerators.
Simulation of Surface Segregation in Nanoparticles of Pt-Pd Alloys
Authors: Correia Jose Brito , de Sá Ana Isabel
Published: January 2025

Platinum (Pt) and palladium (Pd) are crucial in hydrogen energy technologies, especially in fuel cells, due to their high catalytic activity and chemical stability. Pt-Pd nanoparticles, produced through various methods, enhance catalytic performance based on their size, shape, and composition. These nanocatalysts excel in direct methanol fuel cells (DMFCs) and direct ethanol fuel cells (DEFCs) by promoting alcohol oxidation and reducing CO poisoning. Pt-Pd catalysts are also being explored for their oxygen reduction reaction (ORR) on the cathodic side of fuel cells, showing higher activity and stability than pure platinum. Molecular dynamics (MD) simulations have been conducted to understand the structural and surface energy effects of PdPt nanoparticles, revealing phase separation and chemical ordering, which are critical for optimizing these catalysts. Pd migration to the surface layer in Pt-Pd alloys minimizes the overall potential energy through the formation of Pd surface monolayers and Pt-Pd bonds, leading to a lower surface energy for intermediate compositions compared to that of the pure elements. The potential energy, calculated from MD simulations, increases with a decreasing particle size due to surface creation, indicating higher reactivity for smaller particles. A general contraction of the average distance to the nearest neighbour atoms was determined for the top surface layers within the nanoparticles. This research highlights the significant impact of Pd segregation on the structural and surface energy properties of Pt-Pd nanoparticles. The formation of Pd monolayers and the resulting core–shell structures influence the catalytic activity and stability of these nanoparticles, with smaller particles exhibiting higher surface energy and reactivity. These findings provide insights into the design and optimization of Pt-Pd nanocatalysts for various applications.
Synthesis of Nanocrystalline Mn-Doped Bi2Te3 Thin Films via Magnetron Sputtering
Authors: Bibby Joshua , Singh Angadjit , Heppell Emily , Bollard Jack , Achinuq Barat , Haigh Sarah J. , van der Laan Gerrit , Hesjedal Thorsten
Published: January 2025

This study reports the structural and magnetic properties of Mn-doped Bi2Te3 thin films grown by magnetron sputtering. The films exhibit a ferromagnetic response that depends on the Mn doping concentration, as revealed by X-ray magnetic circular dichroism measurements. At an Mn concentration of ∼6.0%, a magnetic moment of (3.48 ± 0.25) μB/Mn was determined. Structural analysis indicated the presence of a secondary MnTex phase, which complicates the interpretation of the magnetic properties. Additionally, the incorporation of Mn ions within the van der Waals gap and substitutional doping on Bi sites contributes to the observed complex magnetic properties. Intriguingly, a decrease in magnetic moment per Mn was observed with increasing Mn concentration, which is consistent with the formation of the intrinsic magnetic topological insulator MnBi2Te4.