bluuebunny/crossref_metadata_2025 huggingface dataset:
Impact of Organ Donor Pretreatment With Anti-Thymocyte Globulin in a Murine Model of Allogenic Kidney Transplantation
Authors: He An , Yang Yiren , Kotsch Katja , Sattler Arne
Published: January 2025

Kidney transplantation is the treatment of choice for end-stage organ failure. To improve transplantation outcomes, particularly of “marginal” organs from extended criteria donors (ECD), attempts have been made to therapeutically modulate donor or graft pre-transplantation. Anti-thymocyte globulin (ATG) has a history as lymphocyte-depleting, immunosuppressive drug for treating rejection episodes post transplantation. In this study, however, we aimed to comprehensively analyze the effects of ATG donor pre-conditioning in a mouse model of kidney transplantation. ATG pre-treatment of potential donors led to a broad depletion of T- and NK cells in peripheral blood, non-lymphoid (including kidney) and lymphoid organs within 48 h, whereas myeloid cells were spared. ATG was also effectively depleting renal innate lymphoid type 1 and 2 cells. Importantly, transplantation of kidneys from ATG pre-treated donors into fully mismatched recipients showed only mild effects on leukocyte re-composition post transplantation. In line with this, serum creatinine and urea levels were similar in animals receiving kidneys from ATG treated donors or controls, demonstrating that donor treatment had no effect on allograft function in the early post-transplantation phase. In summary, our findings are suggestive of a more cell-type-specific depletion strategy in concert with an experimental model better reflecting aspects of clinical transplantation.
Impact of Grass Endophyte on Leaf Spot in Perennial Ryegrass Caused by Bipolaris sorokiniana and Subsequent Aphids’ Feeding Preference
Authors: Ma Ziyuan , He Jia , Shen Youlei , Li Yingde , Wang Ping , Duan Tingyu
Published: January 2025

Grass endophytes (Epichloë) are important symbiotic microorganisms of perennial ryegrass, playing a vital role in plant resistance against various stresses. This study investigated the effects of grass endophyte on leaf spot disease caused by fungal pathogen Bipolaris sorokiniana and subsequent feeding preferences of aphids (Rhopalosiphum maidis) on perennial ryegrass, with a particular focus on how grass endophyte influence the interactions between pathogens and aphids. The results indicated that grass endophytes significantly increased the net photosynthetic efficiency of perennial ryegrass. The interactions among grass endophytes, pathogen, and aphids affected the activities of superoxide dismutase (SOD), peroxidases (POD), and catalase (CAT). Grass endophytes enhanced SOD and CAT activities in pathogen-infected ryegrass. While pathogen infection and aphid infestation decreased jasmonic acid (JA) and salicylic acid (SA) concentrations, grass endophyte increased SA levels. Correlation analysis revealed a negative relationship between shoot dry weight and plant transpiration rate, SOD, and CAT activities. Aphid feeding choice showed that grass endophytes attracted more aphid feeding when co-infected with pathogens. This preference correlated positively with H2O2 and SA levels but negatively with NO and JA concentrations. Overall, grass endophytes enhance perennial ryegrass resistance to leaf spot pathogens and aphids, offering a novel pest and disease management strategy in agriculture.
Mechanistic Insights into Phosphorus Efficiency and Shoot P Concentration in Chinese Cabbage
Authors: Zhang Ruifang , Hou Saisai , Zhang Chi , Wang Hong , Wang Xinxin
Published: January 2025

Phosphorus (P) is vital for the growth of crops, and its absorption efficiency is closely linked to the traits of the plants. Further research is needed to understand how vegetable crops adjust to changes in P availability and how their root morphology and physiology are affected by high P levels in the shoots. In this study, eight Chinese cabbage (Brassica rapa pekinensis) genotypes were grown in a culture room under 0, 25, 50, 100, 150, 300, 600, 900, and 1200 mg kg−1 concentrations of P to evaluate root responses in order to define various adaptive strategies in relation to P acquisition. We selected high-PE and low-PE Chinese cabbage in order to identify how different P efficiency groups responded to P supply and shoot P concentration. P supply level and shoot P concentration significantly affected growth. With the increase in the P supply level, the growth variable characteristics of Chinese cabbage first increased and then decreased or increased first and then stabilized. But it was found that P300 was the most suitable level for Chinese cabbage growth. At the same P supply level, high-PE cabbages had higher shoot dry weight and P absorption capacity, stronger root traits, and higher plasticity as compared to low-PE cabbages. The optimal shoot P concentration is 2.1 mg g−1 and 1.7 mg g−1 for low- and high-PE cabbages, respectively. The root morphological traits performed greatly when the shoot P concentration was at the optimal concentration. The low-PE cabbages had greater shoot growth traits, and high-PE cabbages had higher root dry weight and P absorption. This study offers valuable insights to improve P management by analyzing the relationships between soil P dynamics and root processes in the cultivation of Chinese cabbage.
Phytochemical and Metabolomic Investigation of a Popular Traditional Plant from La Réunion: Psiloxylon mauritianum
Authors: Ozga Théo , Herbette Gaëtan , Carriere Richez Patrick , Clerc Patricia , Haddad Juliano , El Kalamouni Chaker , Bignon Jérôme , Marcellin-Gros Rémy , Ferreira Queiroz Emerson , Wolfender Jean-Luc , Smadja Jacqueline , Gauvin-Bialecki Anne
Published: January 2025

A molecular network investigation of Psiloxylon mauritianum leaf extracts from five different specimens led to the detection of a diversity of flavonoids, triterpenes, and phloroglucinols. Some compounds from these molecular classes are reported to target fever-linked symptoms (antioxidant, antiviral, anti-inflammatory, and antibacterial activities) and may explain the plant’s success as a local traditional remedy. The phytochemical study of one extract allowed the isolation and characterization of an original seco-ring-A lupane structurally similar to the anti-inflammatory betulinic acid, 11 known triterpenes, 2 flavonoids, and a chalcone. Antiviral assays highlighted the in vitro anti-Zika activity of corosolic and betulinic acids found in the plant. Some interesting structure–activity relationships could be drawn between the new compound and the known active triterpenes.
Novel Poly-Arginine Peptide R18D Reduces α-Synuclein Aggregation and Uptake of α-Synuclein Seeds in Cortical Neurons
Authors: Robinson Emma C. , Gorecki Anastazja M. , Pesce Samuel R. , Bagda Vaishali , Anderton Ryan S. , Meloni Bruno P.
Published: January 2025

Background/Objectives: The role of α-synuclein (α-syn) pathology in Parkinson’s disease (PD) is well established; however, effective therapies remain elusive. Two mechanisms central to PD neurodegeneration are the intracellular aggregation of misfolded α-syn and the uptake of α-syn aggregates into neurons. Cationic arginine-rich peptides (CARPs) are an emerging class of molecule with multiple neuroprotective mechanisms of action, including protein stabilisation. This study characterised both intracellular α-syn aggregation and α-syn uptake in cortical neurons in vitro. Thereafter, this study examined the therapeutic potential of the neuroprotective CARP, R18D (18-mer of D-arginine), to prevent the aforementioned PD pathogenic processes through a cell-free thioflavin-T (ThT) assay and in cortical neurons. Methods: To induce intracellular α-syn aggregation, rat primary cortical neurons were exposed to α-syn seed (0.14 μM) for 2 h to allow uptake of the protein, followed by R18D treatment (0.0625, 0.125, 0.25, 0.5 μM), and a subsequent measurement of α-syn aggregates 48 h later using a homogenous time-resolved fluorescence (HTRF) assay. To assess neuronal uptake, α-syn seeds were covalently labelled with an Alexa-Fluor 488 fluorescent tag, pre-incubated with R18D (0.125, 0.25, 0.5 μM), and then exposed to cortical neurons for 24 h and assessed via confocal microscopy. Results: It was demonstrated that R18D significantly reduced both intracellular α-syn aggregation and α-syn seed uptake in neurons by 37.8% and 77.7%, respectively. Also, R18D reduced the aggregation of α-syn monomers in the cell-free assay. Conclusions: These findings highlight the therapeutic potential of R18D to inhibit key α-syn pathological processes and PD progression.
Crisscross Moss Growth Optimization: An Enhanced Bio-Inspired Algorithm for Global Production and Optimization
Authors: Yue Tong , Li Tao
Published: January 2025

Global optimization problems, prevalent across scientific and engineering disciplines, necessitate efficient algorithms for navigating complex, high-dimensional search spaces. Drawing inspiration from the resilient and adaptive growth strategies of moss colonies, the moss growth optimization (MGO) algorithm presents a promising biomimetic approach to these challenges. However, the original MGO can experience premature convergence and limited exploration capabilities. This paper introduces an enhanced bio-inspired algorithm, termed crisscross moss growth optimization (CCMGO), which incorporates a crisscross (CC) strategy and a dynamic grouping parameter, further emulating the biological mechanisms of spore dispersal and resource allocation in moss. By mimicking the interwoven growth patterns of moss, the CC strategy facilitates improved information exchange among population members, thereby enhancing offspring diversity and accelerating convergence. The dynamic grouping parameter, analogous to the adaptive resource allocation strategies of moss in response to environmental changes, balances exploration and exploitation for a more efficient search. Key findings from rigorous experimental evaluations using the CEC2017 benchmark suite demonstrate that CCMGO consistently outperforms nine established metaheuristic algorithms across diverse benchmark functions. Furthermore, in a real-world application to a three-channel reservoir production optimization problem, CCMGO achieves a significantly higher net present value (NPV) compared to benchmark algorithms. This successful application highlights CCMGO’s potential as a robust and adaptable tool for addressing complex, real-world optimization challenges, particularly those found in resource management and other nature-inspired domains.
Non-Canonical, Extralysosomal Activities of Lysosomal Peptidases in Physiological and Pathological Conditions: New Clinical Opportunities for Cancer Therapy
Authors: Conesa-Bakkali Ryan , Morillo-Huesca Macarena , Martínez-Fábregas Jonathan
Published: January 2025

Lysosomes are subcellular compartments characterised by an acidic pH, containing an ample variety of acid hydrolases involved in the recycling of biopolymers. Among these hydrolases, lysosomal proteases have merely been considered as end-destination proteases responsible for the digestion of waste proteins, trafficked to the lysosomal compartment through autophagy and endocytosis. However, recent reports have started to unravel specific roles for these proteases in the regulation of initially unexpected biological processes, both under physiological and pathological conditions. Furthermore, some lysosomal proteases are no longer restricted to the lysosomal compartment, as more novel non-canonical, extralysosomal targets are being identified. Currently, lysosomal proteases are accepted to play key functions in the extracellular milieu, attached to the plasma membrane and even in the cytosolic and nuclear compartments of the cell. Under physiological conditions, lysosomal proteases, through non-canonical, extralysosomal activities, have been linked to cell differentiation, regulation of gene expression, and cell division. Under pathological conditions, these proteases have been linked to cancer, mostly through their extralysosomal activities in the cytosol and nuclei of cells. In this review, we aim to provide a comprehensive summary of our current knowledge about the extralysosomal, non-canonical functions of lysosomal proteases, both under physiological and pathological conditions, with a particular interest in cancer, that could potentially offer new opportunities for clinical intervention.
Application of Machine Learning for Real-Time Structural Integrity Assessment of Bridges
Authors: Jayasinghe Sanduni , Mahmoodian Mojtaba , Alavi Azadeh , Sidiq Amir , Sun Zhiyan , Shahrivar Farham , Setunge Sujeeva , Thangarajah John
Published: January 2025

The concept of digital twins (DT)s enhances traditional structural health monitoring (SHM) by integrating real-time data with digital models for predictive maintenance and decision-making whilst combined with finite element modelling (FEM). However, the computational demand of FE modelling necessitates surrogate models for real-time performance, alongside the requirement of inverse structural analysis to infer overall behaviour via the measured structural response of a structure. A FEM-based machine learning (ML) model is an ideal option in this context, as it can be trained to perform those calculations instantly based on FE-based training data. However, the performance of the surrogate model depends on the ML model architecture. In this light, the current study investigates three distinct ML models to surrogate FE modelling for DTs. It was identified that all models demonstrated a strong performance, with the tree-based models outperforming the performance of the neural network (NN) model. The highest accuracy of the surrogate model was identified in the random forest (RF) model with an error of 0.000350, whilst the lowest inference time was observed with the trained XGBoost algorithm, which was at approximately 1 millisecond. By leveraging the capabilities of ML, FEM, and DTs, this study presents an ideal solution for implementing real-time DTs to advance the functionalities of current SHM systems.
Monitoring Health Risks Associated with Body Modifications (Tattoos and Permanent Makeup): A Systematic Review
Authors: Bakova Desislava , Yaneva Antoniya , Harizanova Stanislava , Shopova Dobromira , Mihaylova Anna , Kasnakova Petya , Parahuleva Nikoleta , Semerdzhieva Mariya , Bakov Kostadin , Iliev Ilia
Published: January 2025

The widespread adoption of tattoos and permanent makeup across all social classes and age groups globally has led to an increase in reports of subsequent health problems. This article presents a systematic review aimed at investigating the potential health risks associated with body modifications (tattoos and permanent makeup), highlighting the need for further research and public education to bridge the gap in knowledge and ensure informed decision-making. A literature search was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. A comprehensive search was performed in the PubMed, Scopus, Google Scholar, and ScienceDirect databases for the period between 2014 and 2024. Several significant potential health risks associated with tattoos and permanent makeup were identified: disruption of the skin microbiome, inflammatory processes and infections, allergic reactions and oncological risks, toxicity of tattoo inks, insufficient hygiene, and inadequate aftercare. Despite the prevalence of tattoos, public awareness of the possible associated complications and health risks is low. There is a need for systematic identification and assessment of health and safety risks related to body modification services, as well as the introduction of guidelines to ensure that all necessary measures are taken to prevent health hazards for both clients and professionals performing these procedures.
TransRAUNet: A Deep Neural Network with Reverse Attention Module Using HU Windowing Augmentation for Robust Liver Vessel Segmentation in Full Resolution of CT Images
Authors: Lim Kyoung Yoon , Ko Jae Eun , Hwang Yoo Na , Lee Sang Goo , Kim Sung Min
Published: January 2025

Background: Liver cancer has a high mortality rate worldwide, and clinicians segment liver vessels in CT images before surgical procedures. However, liver vessels have a complex structure, and the segmentation process is conducted manually, so it is time-consuming and labor-intensive. Consequently, it would be extremely useful to develop a deep learning-based automatic liver vessel segmentation method. Method: As a segmentation method, UNet is widely used as a baseline, and a multi-scale block or attention module has been introduced to extract context information. In recent machine learning efforts, not only has the global context extraction been improved by introducing Transformer, but a method to reinforce the edge area has been proposed. However, the data preprocessing step still commonly uses general augmentation methods, such as flip, rotation, and mirroring, so it does not perform robustly on images of varying brightness or contrast levels. We propose a method of applying image augmentation with different HU windowing values. In addition, to minimize the false negative area, we propose TransRAUNet, which introduces a reverse attention module (RAM) that can focus edge information to the baseline TransUNet. The proposed architecture solves context loss for small vessels by applying edge module (RAM) in the upsampling phase. It can also generate semantic feature maps that allows it to learn edge, global context, and detail location by combining high-level edge and low-level context features. Results: In the 3Dricadb dataset, the proposed model achieved a DSC of 0.948 and a sensitivity of 0.944 in liver vessel segmentation. This study demonstrated that the proposed augmentation method is effective and robust by comparisons with the model without augmentation and with the general augmentation method. Additionally, an ablation study showed that RAM has improved segmentation performance compared to TransUNet. Compared to prevailing state-of-the-art methods, the proposed model showed the best performance for liver vessel segmentation. Conclusions: TransRAUnet is expected to serve as a navigation aid for liver resection surgery through accurate liver vessel and tumor segmentation.
Radiomics for Predicting the Development of Brain Edema from Normal-Appearing Early Brain-CT After Cardiac Arrest and Return of Spontaneous Circulation
Authors: Scheschenja Michael , Müller-Stüler Eva-Marie , Viniol Simon , Wessendorf Joel , Bastian Moritz B. , Jedelská Jarmila , König Alexander M. , Mahnken Andreas H.
Published: January 2025

Background: Hypoxic-ischemic brain injury (HIBI) is a feared complication post-cardiac arrest (CA). The timing of brain imaging remains a topic of ongoing debate. Early computed tomography (CT) scans can reveal acute intracranial pathologies but may have limited predictive value due to delayed manifestation of HIBI-related changes. Radiomics analyses present a promising approach to identifying subtle imaging markers, potentially aiding early HIBI detection. Methods: This study retrospectively assessed post-CA patients between 2016 and 2023 who received immediate brain CTs. Patients without acute intracranial pathology on initial scans and who underwent follow-up brain CTs within 14 days post-return of spontaneous circulation (ROSC) were included. Image segmentation involved manual basalganglia segmentation and automated whole-brain segmentation. Radiomics features were calculated using Pyradiomics (v3.0.1) in 3DSlicer (v5.2.2). Feature selection involved reproducibility analysis via ICC and LASSO regression, retaining five features per segmentation method. A logistic regression model for each segmentation method underwent 5-fold cross-validation. Results were summarized with ROC analyses and average sensitivity and specificity. Results: A total of 83 patients (average age: 65 ± 13.3 years, 19 women) with CA and ROSC were included. Follow-up CT scans after 5.2 ± 2.9 days revealed brain edema in 47 patients. The model using manual segmentation achieved an average AUC of 0.76, sensitivity of 0.59, and specificity of 0.78. The automated segmentation model showed an average AUC of 0.66, sensitivity of 0.49, and specificity of 0.68. Conclusions: Radiomics, particularly focused on the basalganglia area in normal-appearing brain CTs after CA and ROSC, may enhance predictive insights for HIBI and the development of brain edema.
Machine Learning for Lung Cancer Subtype Classification: Combining Clinical, Histopathological, and Biophysical Features
Authors: Andrijanova Aiga , Bugovecka Lasma , Isajevs Sergejs , Erts Donats , Malinovskis Uldis , Liepins Andis
Published: January 2025

Background/Objectives: Despite advances in diagnostic techniques, accurate classification of lung cancer subtypes remains crucial for treatment planning. Traditional methods like genomic studies face limitations such as high cost and complexity. This study investigates whether integrating atomic force microscopy (AFM) measurements with conventional clinical and histopathological data can improve lung cancer subtype classification. Methods: We developed and analyzed a novel dataset combining clinical, histopathological, and AFM-derived biophysical characteristics from 37 lung cancer patients. Various machine learning techniques were evaluated, with a focus on Bayesian Networks due to their ability to handle complex data with missing values. Leave-One-Out Cross-Validation was employed to assess model performance. Results: The integration of biophysical features improved classification accuracy from 86.49% to 89.19% using a data-driven Bayesian Network model, though this improvement was not statistically significant (p = 1.0). Four key features were identified as highly predictive: sex, vascular invasion, perineural invasion, and ALK mutation. A simplified model using only these features achieved identical performance with significantly reduced complexity (BIC 51.931 vs. 268.586). Conclusions: While AFM-derived measurements showed promise for enhancing lung cancer subtype classification, larger datasets are needed to fully validate their impact. Our findings demonstrate the feasibility of incorporating biophysical measurements into cancer classification frameworks and identify the most predictive features for accurate diagnosis. Further research with expanded datasets is needed to validate these findings.
Socket Sealing Using Free Gingival Grafts: A Randomized Controlled Trial
Authors: Yotsova Ralitsa
Published: January 2025

Background: Post-extraction ridge resorption is an inevitable phenomenon that cannot be eliminated but is significantly reduced using additional surgical techniques known as socket preservation. They aim to create favorable conditions for implant placement and prosthetic restoration. This study aims to assess the effect of socket sealing (SS) with free gingival grafts on the vertical resorption of socket walls at the premolar and molar regions over 3 months. Methods: This randomized two-arm controlled trial with parallel groups (1:1 allocation) was conducted at the Department of Oral Surgery, Medical University-Varna, Bulgaria, from 27 June 2022 to 20 April 2023. Forty patients aged 30–65 were equally and randomly allocated to the SS or the control groups. Atraumatic tooth extraction was performed. In the control group, the socket was left on secondary wound healing. In the SS group, the socket orifice was “sealed” with an FGG harvested from the hard palate or maxillary tuberosity. Results: Data analysis demonstrated that SS with an FGG is a successful method for reducing the post-extraction resorption of the socket walls. In addition, this study confirms that the thickness of the buccal wall is a significant factor in its vertical resorption. Conclusions: Socket sealing with an FGG is a valuable method that eliminates the need for flap reflection and compensates for the soft tissue deficit when immediate implant placement or bone augmentation is required. Further research is necessary to determine the role of different factors influencing bone resorption and compare the effect of different socket preservation methods.
Dynamic Spillovers of Economic Policy Uncertainty: A TVP-VAR Analysis of Latin American and Global EPU Indices
Authors: Marín-Rodríguez Nini Johana , González-Ruíz Juan David , Botero Sergio
Published: January 2025

This study examines the dynamic interconnectedness of economic policy uncertainty (EPU) among Latin American economies—Brazil, Chile, Colombia, and Mexico—and significant international regions, including the United States, Europe, and Japan, as well as a global EPU index. Using a Time-Varying Parameter Vector Autoregressive (TVP-VAR) model with monthly data, this study reveals the evolving spillover effects and dependencies capturing how uncertainty in one market can transmit across others on both regional and global scales. The findings highlight the significant impact of external EPU, particularly from the U.S. and global EPU sources on Latin America, positioning it as a primary recipient of international uncertainty. These results underscore the need for Latin American economies to adopt resilience strategies—such as trade diversification and regional cooperation—to mitigate vulnerabilities to global shocks. This study offers valuable insights into the mechanisms of economic uncertainty transmission, guiding policymakers in developing coordinated responses to reduce the effects of external volatility and foster regional economic stability.
Time Synchronization Attack Protection Scheme Based on Three-Step Iterative Filter
Authors: Ou Kun , Liu Yumu , Duan Zhangjue , Wang Maoling , Li Chengxin , Luo Zhenghua
Published: January 2025

This study examines the security of power systems. Power systems rely heavily on Global Navigation Satellite System (GNSS) time synchronization services. This service is susceptible to Time Synchronization Attacks (TSAs), which can spoof the timing results of GNSS and cause serious consequences. Therefore, in order to improve the time security of the network, a new detection method, i.e., a three-step iterative filter, is proposed. Simulation results show that the scheme can detect the slow time synchronization attack within 1 s and can effectively suppress the attack, which effectively reduces the impact of the time synchronization attack on timing accuracy. The scheme has a relatively small error, consumes fewer resources, and is more conducive to engineering implementation.
Influence of Mountain Wildfires on the Insulation Properties of Air Gaps in Power Grids
Authors: Zhou Fangrong , Geng Hao , Wen Gang , Ma Yutang , Ma Yi , Wang Guofang , Cao Jun , Xu Jiaze , Mei Hongwei
Published: January 2025

The complex terrain of China frequently leads to wildfires, which in turn pose a threat to the safe operation of power transmission lines. Studying the breakdown characteristics of air gaps under wildfire conditions is of great significance for understanding wildfire propagation mechanisms, risk assessment and management, and ecological environment protection. This paper establishes an experimental platform simulating wildfire climatic conditions and conducts experimental research on air gaps between rod–rod gaps and conductor–ground gaps. The experimental voltage types include direct current, power frequency, and standard operating waves. The impact of wildfire factors on the breakdown voltage and discharge characteristics of air gaps was obtained. The results indicate that the main factors affecting the air gap breakdown characteristics during wildfires are flame height and smoke. Flame height directly influences the gap insulation distance. Under flame bridging conditions, the maximum decrease in breakdown voltage reaches 70–80%. As the concentration of smoke increases, the degradation of insulation performance becomes more pronounced, with a reduction ranging from 20% to over 50%.
Molecular Dynamics Simulation of CO2-ECBM Under Different Moisture Contents
Authors: Cheng Xiaoyu , Gong Xuanping , Cheng Cheng , Li Quangui , Li Ziqiang
Published: January 2025

The interactions among water molecules, coal beds, and gases during the process of coal bed methane mining are highly complex. The water and methane (CH4)/carbon dioxide (CO2) molecules compete for adsorption and undergo a series of reactions that affect gas diffusion. In this study, Monte Carlo and molecular dynamics methods were used to investigate the microscopic mechanism of CH4/CO2 competitive adsorption and diffusion during CO2-enhanced coal bed methane mining (ECBM) under different moisture contents, and the geological storage potential of CO2 was predicted. The results showed that when the CO2 and water binding sites were independent of each other, the water molecules changed the electrostatic potential around the coal molecules, resulting in enhanced CO2 adsorption performance, as verified by the surface electrostatic potential. When the water molecules formed a water molecule layer, the adsorption capacity of the secondary adsorption sites provided was larger than that of the surface of the coal molecules, so the CO2 molecules were preferentially adsorbed on the secondary adsorption sites. However, the number of secondary adsorption sites available was not as large as that on the surface of the coal molecules. The interaction energies revealed that when the displacement effect of CH4 in the process of CO2-ECBM and the sequestration effect of CO2 were considered comprehensively, the best CO2 sequestration effect and a good CH4 displacement effect were obtained at a 3% moisture content. The worst CO2 sequestration effect was found at a 5% moisture content. After CO2 injection, the main adsorption layer of CH4 shifted from X = 5 and X = 9 to X = 8.7 and X = 12.5, respectively, and obvious detachment and diffusion occurred. The distribution of the molecular motion and diffusion coefficient revealed the considerable displacement and dispersion of the gas molecules. The distribution of the gas molecular velocity and diffusion coefficient indicated that a 3% moisture content was the ideal condition for CO2 displacement of CH4, and the CO2 sequestration effect was good.
Co-Creating Snacks: A Cross-Cultural Study with Mediterranean Children Within the DELICIOUS Project
Authors: Romeo-Arroyo Elena , Mora María , Urkiaga Olatz , Pazos Nahuel , El-Gyar Noha , Gaspar Raquel , Pistolese Sara , Beaino Angelique , Grosso Giuseppe , Busó Pablo , Pons Juancho , Vázquez-Araújo Laura
Published: January 2025

Mediterranean diet adherence has been decreasing during the last few decades, and non-appropriate snacking habits have also been identified among Mediterranean children and adolescents. To co-create new snacks and to explore children’s interests and preferences, a multi-method approach was used in the present study, including some qualitative and quantitative research phases. Conducted in collaboration with schools in Lebanon, Egypt, Portugal, Italy, and Spain, different snack prototypes were designed and tested in a Mediterranean cross-cultural context. The results showed significant differences among countries in snacking preferences and general food-related attitudes. Italian children exhibited higher levels of neophobia, resulting in lower acceptance of all proposed snacks. Some sensory and contextual insights were collected, such as Egyptian children favoring sweet and crunchy textures and “At school”, “With my friends”, and “As a morning/afternoon snack” being identified as linked to snack acceptance in some countries. The present study underscores the value of co-creation processes involving children to address non-recommended dietary patterns, highlighting the critical role of sensory properties, cultural differences, and contextual factors in designing healthy snacks that meet the Mediterranean diet’s principles but are highly appreciated by the young segment of the population.
Emerging Evidence on Balneotherapy and Thermal Interventions in Post-COVID-19 Syndrome: A Systematic Review
Authors: Ferrara Elisabetta , Scaramuzzino Manela , Murmura Giovanna , D’Addazio Gianmaria , Sinjari Bruna
Published: January 2025

Background: Post-COVID-19 syndrome affects 10–60% of SARS-CoV-2 survivors. While conventional treatments show limited efficacy, emerging evidence suggests the potential benefits of balneotherapy in managing persistent symptoms. We aimed to systematically evaluate the efficacy and safety of balneotherapy and thermal treatment interventions in treating post-COVID-19 syndrome. Methods: We conducted a systematic review following PRISMA guidelines, searching major databases through 31 January 2024. Eligible studies included randomized controlled trials, observational studies, and pilot studies investigating thermal spa treatments for adult post-COVID-19 patients. Results: Analysis of six eligible studies (n = 617) demonstrated significant therapeutic benefits. The largest cohort (n = 159) showed 47% reduction in fatigue and 48% reduction in muscle pain (p < 0.01). Comprehensive spa therapy achieved complete symptom resolution in one-third of the participants. Combined spa-ubiquinol therapy improved metabolic function (p < 0.05). All interventions demonstrated favorable safety profiles. Conclusions: Preliminary evidence suggests balneotherapy effectively ameliorates multiple post-COVID-19 symptoms, particularly fatigue, muscle pain, and exercise intolerance. While safety profiles appear favorable, larger randomized controlled trials with standardized protocols are needed to establish definitive therapeutic recommendations.
Comprehensive Overview of Molecular, Imaging, and Therapeutic Challenges in Rectal Mucinous Adenocarcinoma
Authors: Berar Mihaela , Ciocan Andra , Moiș Emil , Furcea Luminița , Popa Călin , Ciocan Răzvan Alexandru , Zaharie Florin , Puia Cosmin , Al Hajjar Nadim , Caraiani Cosmin , Rusu Ioana , Graur Florin
Published: January 2025

Rectal cancer is one of the most frequent malignancies worldwide. The most common histological type is adenocarcinoma, followed by mucinous adenocarcinoma. The outcome is less favorable for the mucinous type, yet the treatment course is the same. The aim of this systematic literature review is to assess existing information in order to improve survival in rectal mucinous adenocarcinoma (RMA) and establish a starting point for future research. A systematic search of PubMed, Google Scholar, and Web of Science online libraries was performed in October 2024, evaluating studies regarding clinicopathological and genetic features in connection with targeted treatment and survival outcomes in RMA, using the terms “rectal cancer”, “rectum”, “mucinous adenocarcinoma”, or a combination of the terms. We selected 23 studies, 10 of them regarding the diagnostic implications and 13 discussing the treatment strategies and prognosis of this histological subtype. There were six studies addressing the imaging aspects, highlighting the distinct features of mucinous histology in MRI. The molecular specifics were detailed in four studies, outlining the molecular footprint. The prognosis and treatment course were addressed in 12 studies. The inflammation index prognosis, complete response to neoadjuvant chemotherapy, and surgical aspects were addressed individually in each study. We encapsulated the molecular and clinicopathological characteristics of RMA, as well as diagnostic and treatment approaches, to establish a baseline of references for the benefit of daily practice and further research.
Chronic Pain and Comorbid Emotional Disorders: Neural Circuitry and Neuroimmunity Pathways
Authors: Li Meihong , She Kepeng , Zhu Pengfei , Li Zhen , Liu Jieqiong , Luo Fang , Ye Yingze
Published: January 2025

Chronic pain is a multidimensional experience that not only involves persistent nociception but is also frequently accompanied by significant emotional disorders, such as anxiety and depression, which complicate its management and amplify its impact. This review provides an in-depth exploration of the neurobiological mechanisms underlying the comorbidity of chronic pain and emotional disturbances. Key areas of focus include the dysregulation of major neurotransmitter systems (serotonin, gamma-aminobutyric acid, and glutamate) and the resulting functional remodeling of critical neural circuits implicated in pain processing, emotional regulation, and reward. Given the contribution of neuroimmune mechanisms to pain chronicity and mood disorders, we further conducted an in-depth investigation into the role of neuroimmune factors, including resident immune cells, infiltrating immune cells, and the release of inflammatory mediators. This review further discusses current therapeutic strategies, encompassing pharmacological interventions, neuromodulation, and integrative approaches, and emphasizes the necessity of targeted treatments that address both pain and emotional components. Finally, it identifies gaps in the current understanding and outlines future research directions aimed at elucidating the complex interplay between chronic pain and emotional disorders, thereby laying the foundation for more effective and holistic treatment paradigms.
Optimization of Compost and Peat Mixture Ratios for Production of Pepper Seedlings
Authors: Zapałowska Anita , Jarecki Wacław , Skwiercz Andrzej , Malewski Tadeusz
Published: January 2025

Substituting peat moss with compost derived from organic waste in plant nurseries presents a promising solution for reducing environmental impact, improving waste management, and enhancing soil health while promoting sustainable agricultural practices. However, selecting the appropriate proportions of both materials is crucial for each plant species. This study investigates the effects of different ratios of compost and peat mixtures on the growth and development of pepper seedlings. The compost mixtures used in the study included the following combinations: sewage sludge with sawdust (A), sewage sludge with sawdust and biodegradable garden/park waste (B), and biodegradable garden/park waste with sawdust (C). The final substrates used for seedling production were composed of composts (A, B, C) and peat (O) as a structural additive, mixed in different proportions by mass: I-O 25%, II-O 50%, and III-O 75%. Seedlings grown in these substrates were assessed using biometric and physiological measurements. Nematode species present in substrates were identified by metabarcoding analysis. The results revealed that substrate productivity depended not only on nutrient content but also on structural properties, which were significantly influenced by the peat proportion. Among the tested compost mixtures, variant A I emerged as the most effective substrate, promoting optimal seedling growth. Molecular nematode analysis revealed significant nematode contamination in substrates with higher peat proportions (C II and C III), including Meloidogyne sp. Lichtenburg (26%), Meloidogyne hispanica (5%), Meloidogyne sp. Mi_c1 (3%), Meloidogyne ethiopica (2%), and Meloidogyne thailandica (1%). The findings underscore the critical importance of achieving an optimal balance between nutrient content and structural properties in substrates to support the healthy growth and development of pepper seedlings. To further enhance crop performance and reduce the risk of pest-related damage, it is essential to prioritize the improvement of substrate selection strategies. Monitoring for nematode contamination is crucial to prevent potential compromises in seedling quality and overall productivity.
The Rise of Fentanyl: Molecular Aspects and Forensic Investigations
Authors: Barletta Cecilia , Di Natale Virginia , Esposito Massimiliano , Chisari Mario , Cocimano Giuseppe , Di Mauro Lucio , Salerno Monica , Sessa Francesco
Published: January 2025

Fentanyl is a synthetic opioid widely used for its potent analgesic effects in chronic pain management and intraoperative anesthesia. However, its high potency, low cost, and accessibility have also made it a significant drug of abuse, contributing to the global opioid epidemic. This review aims to provide an in-depth analysis of fentanyl’s medical applications, pharmacokinetics, metabolism, and pharmacogenetics while examining its adverse effects and forensic implications. Special attention is given to its misuse, polydrug interactions, and the challenges in determining the cause of death in fentanyl-related fatalities. Fentanyl misuse has escalated dramatically, driven by its substitution for heroin and its availability through online platforms, including the dark web. Polydrug use, where fentanyl is combined with substances like xylazine, alcohol, benzodiazepines, or cocaine, exacerbates its toxicity and increases the risk of fatal outcomes. Fentanyl undergoes rapid distribution, metabolism by CYP3A4 into inactive metabolites, and renal excretion. Genetic polymorphisms in CYP3A4, OPRM1, and ABCB1 significantly influence individual responses to fentanyl, affecting its efficacy and potential for toxicity. Fentanyl’s side effects include respiratory depression, cardiac arrhythmias, gastrointestinal dysfunction, and neurocognitive impairments. Chronic misuse disrupts brain function, contributes to mental health disorders, and poses risks for younger and older populations alike. Fentanyl-related deaths require comprehensive forensic investigations, including judicial inspections, autopsies, and toxicological analyses. Additionally, the co-administration of xylazine presents distinct challenges for the scientific community. Histological and immunohistochemical studies are essential for understanding organ-specific damage, while pharmacogenetic testing can identify individual susceptibilities. The growing prevalence of fentanyl abuse highlights the need for robust forensic protocols, advanced research into its pharmacogenetic variability, and strategies to mitigate its misuse. International collaboration, public education, and harm reduction measures are critical for addressing the fentanyl crisis effectively.
Social Robots in Education: Current Trends and Future Perspectives
Authors: Lampropoulos Georgios
Published: January 2025

In contrast to other learning technologies, social robots are social and affective entities that are defined by their physical presence, their anthropomorphic characteristics, and their advanced social, emotional, and cognitive skills. Social robots are intelligent tutoring systems that can improve students’ learning, affective, and cognitive outcomes when used as tutors or peer learners offering affective and personalized learning. As the field of social robots and their use in education is rapidly advancing, this study aims to provide a review regarding the integration of social robots in education through the analysis of the existing literature to present the state of the art and to identify future research directions. Additionally, the main characteristics and properties of social robots are defined and the benefits they can bring in education are discussed. Specifically, the study examines 361 documents that derived from Scopus and the Web of Science databases. To analyze the documents, Bibliometrix, VOSviewer, topic modeling through Latent Dirichlet Allocation (LDA), and content analysis are used. An analysis of the basic characteristics of the documents (e.g., publication frequency, citation count, authors, sources, countries, affiliations, etc.) and a more in-depth analysis focusing on identifying the most prominent topics and themes as well as the thematic evolution of the topic were carried out. Finally, through the content analysis, current limitations and challenges were revealed and emerging topics and future research directions were highlighted.
Communication and Sensing: Wireless PHY-Layer Threats to Security and Privacy for IoT Systems and Possible Countermeasures
Authors: Lo Cigno Renato , Gringoli Francesco , Bartoletti Stefania , Cominelli Marco , Ghiro Lorenzo , Zanini Samuele
Published: January 2025

Recent advances in signal processing and AI-based inference enable the exploitation of wireless communication signals to collect information on devices, people, actions, and the environment in general, i.e., to perform Integrated Sensing And Communication (ISAC). This possibility offers exciting opportunities for Internet of Things (IoT) systems, but it also introduces unprecedented threats to the security and privacy of data, devices, and systems. In fact, ISAC operates in the wireless PHY and Medium Access Control (MAC) layers, where it is impossible to protect information with standard encryption techniques or with any other purely digital methodologies. The goals of this paper are threefold. First, it analyzes the threats to security and privacy posed by ISAC and how they intertwine in the wireless PHY layer within the framework of IoT and distributed pervasive communication systems in general. Secondly, it presents and discusses possible countermeasures to protect users’ security and privacy. Thirdly, it introduces an architectural proposal, discussing the available choices and tradeoffs to implement such countermeasures, as well as solutions and protocols to preserve the potential benefits of ISAC while ensuring data protection and users’ privacy. The outcome and contribution of the paper is a systematic argumentation on wireless PHY-layer privacy and security threats and their relation with ISAC, framing the boundaries that research and innovation in this area should respect to avoid jeopardizing people’s rights.
A TriNetX Analysis of Hypertrophic Scarring Disorders, Genitourinary Strictures, and Urethroplasty Failure
Authors: Prebay Zachary J. , Wahlstedt John , Shakir Afzal , Wahlstedt Eric , Chung Paul H. , Shah Mihir S.
Published: January 2025

Background: Urethral strictures and bladder neck contractures (BNCs) can be significantly morbid for patients and may require intervention for effective urinary drainage. We hypothesized patients with abnormal scarring disorders, such as keloids or hypertrophic scars, are at elevated risks of urethroplasty failure as well as postprocedural urethral strictures and BNCs. Methods: We queried the TriNetX database to determine the risk of urethroplasty failure for patients with abnormal scarring disorders compared to controls. We also investigated the risk of developing urethral strictures and BNCs for patients undergoing various endourology procedures. Results are reported in terms of risk ratio (RR) with 95% confidence interval (CI). Statistical significance was considered when the CI did not include 1.0. Propensity score matching was performed to limit confounding. Notably, TriNetX rounds values < 10 to 10 for patient anonymity (denoted by *). Results: Urethroplasty patients with scarring pathology needed a second procedure more than twice as often (36.2% vs. <17.2%*, RR = 2.1, 95%CI 1.1–4.1). Following cystoscopy, there was no difference in urethral stricture rates for patients with scarring disorders (2.7% vs. 2.6%, RR = 1.1, 95%CI 0.85–1.3). These patients also showed similar rates of BNCs (7.5% vs. 5.3%, RR = 1.4, 95%CI 0.84–2.3) and urethral strictures (5.9% vs. 5.3%, RR = 1.1, 95%CI 0.68–1.8) after transurethral bladder outlet procedures. Conclusions: Patients with scarring disorders showed much higher urethroplasty failure rates. They experienced similar rates of urethral strictures and BNC formation after endoscopic procedures. These novel findings underscore the importance of recognizing abnormal scarring conditions during preoperative assessments, guiding clinicians in counseling patients and tailoring operative interventions.