bluuebunny/crossref_metadata_2025 huggingface dataset:
Public Awareness of Ocular Chemical Injuries: A Cross-Sectional Study in Lithuania
Authors: Skruodyte Justina , Sveikataite Martyna , Sveikatiene Jurate , Serpytis Pranas
Published: February 2025

Background: Ophthalmic emergencies are acute conditions that progress rapidly, posing a significant threat to a patient’s vision and requiring urgent intervention to prevent permanent visual impairment. This study aimed to assess the general awareness of ocular chemical burns and the adequacy of the immediate response measures while also seeking to improve the understanding of these injuries and contribute to promoting a healthier society. Methods: A comprehensive literature review was performed, and the most frequently reported questions were incorporated into the original survey. An anonymous questionnaire, available both online and in print, was developed to conduct a cross-sectional study to assess the general knowledge of the causes, symptoms, and appropriate first aid measures to be applied in cases of chemical ocular trauma. Results: Between April and May 2024, 175 individuals completed the questionnaire and were included in the study. More than half (54%) of the tested population demonstrated a poor level of knowledge about chemical ocular injuries, and only 30.9% of the respondents correctly indicated the need for imminent treatment. Twenty percent of the respondents could not identify whether alkalis or acids are more hazardous. Additionally, 5.7% of the respondents falsely considered consultation with an emergency department a priority before thorough irrigation. Most of the respondents (60.6%) incorrectly indicated that the appropriate first aid measures and treatment depend on the substance involved, and 68.1% of the respondents stated that treatment in the emergency department should be delayed, allowing for anamnesis collection and thorough examination. Conclusions: Ocular chemical injuries can substantially impact an individual’s quality of life. The present study found that the public knowledge concerning ocular chemical trauma, and the necessary immediate treatment is insufficient. Public education is vital, as delaying prompt and thorough irrigation at the chemical injury site may result in irreversible complications.
Optical Mapping and On-Demand Selection of Local Hysteresis Properties in VO2
Authors: Alzate Banguero Melissa , Basak Sayan , Raymond Nicolas , Simmons Forrest , Salev Pavel , Schuller Ivan K. , Aigouy Lionel , Carlson Erica W. , Zimmers Alexandre
Published: February 2025

Quantum materials have tremendous potential for disruptive applications. However, scaling devices down has been challenging due to electronic inhomogeneities in many of these materials. Understanding and controlling these electronic patterns on a local scale has thus become crucial to further new applications. To address this issue, we have developed a new optical microscopy method that allows for the precise quasi-continuous filming of the insulator-to-metal transition in VO­2 with fine temperature steps. This enables us to track metal and insulator domains over thousands of images and quantify, for the first time, the local hysteresis properties of VO­2 thin films. The analysis of the maps has allowed us to quantify cycle-to-cycle reproducibility of the local transitions and reveals a positive correlation between the local insulator–metal transition temperatures T­c and the local hysteresis widths ΔTc. These maps also enable the optical selection of regions of high or low transition temperature in combination with large or nearly absent local hysteresis. These maps pave the way to understand and use stochasticity to advantage in these materials by picking on-demand transition properties, allowing the scaling down of devices such as optical switches, infrared microbolometers and spiking neural networks.
Development of a Clinical Framework–Anastomotic Leakage Prediction Score (CF–ALPS) After Colorectal Surgery
Authors: Mülküt Fırat , Ofluoğlu Cem Batuhan
Published: February 2025

Background: Anastomotic leakage (AL) is a severe complication of colorectal surgery and is associated with high morbidity, mortality, and prolonged hospital stay. Current predictive models vary in complexity and utility, highlighting the need for clinically accessible and accurate tools. This study aimed to develop and validate the clinical framework–anastomotic leakage prediction score (CF–ALPS) score, a practical and accessible risk prediction model for AL that integrates patient-, tumor-, and surgery-related factors. Methods: A retrospective cohort of 294 patients who underwent colorectal surgery between 2019 and 2024 was analyzed. Patients were categorized into the AL (n = 84) and non-AL groups (n = 210). The factors included age, sex, hypoalbuminemia, and comorbidities. Tumor-related factors included lymph node stage and neoadjuvant therapy, while surgical variables included urgency, duration, and type of procedure. The outcomes evaluated were the incidence of AL, duration of hospital stay, and in-hospital mortality. Independent predictors were identified using multivariate logistic regression analysis. The CF–ALPS score, which was developed from significant predictors, was validated using ROC curve analysis and 10-fold cross-validation. Results: A total of 294 patients who underwent colorectal surgery were included, of whom 84 (28.57%) developed AL. A male predominance was observed in the AL group (73.81% vs. 36.19%; p = 0.001). Nutritional status played a critical role, with significantly lower albumin levels in AL patients (2.8 ± 0.5 g/dL vs. 3.5 ± 0.4 g/dL; p < 0.001). Independent predictors of AL included hypoalbuminemia (<3.0 g/dL, OR: 0.52, p < 0.001), ASA score (OR, 1.85; p = 0.004), advanced lymph node stage (N2/N3, OR: 1.94, p = 0.037), neoadjuvant therapy (OR, 2.89; p = 0.002), and emergent surgery (OR, 1.67; p = 0.042). These variables formed the basis of the CF–ALPS score, which assigns weighted points based on the magnitude of their ORs. The CF–ALPS model achieved a ROC AUC of 0.82 (95% CI: 0.75–0.89) with a sensitivity of 85.0% and specificity of 78.0%. A cutoff score ≥7 demonstrated optimal risk stratification, classifying patients into high- and low-risk groups with a positive predictive value (PPV) of 72.0% and a negative predictive value (NPV) of 88.0%. Cross-validation yielded a moderate AUC of 0.44 (SD = 0.062). Conclusions: The CF–ALPS score offers a simple and effective tool for AL risk prediction in colorectal surgery, emphasizing its practicality and clinical integration. Although its predictive accuracy was moderate, further prospective multicenter validation is warranted.
Advances in Neuroimaging and Deep Learning for Emotion Detection: A Systematic Review of Cognitive Neuroscience and Algorithmic Innovations
Authors: Halkiopoulos Constantinos , Gkintoni Evgenia , Aroutzidis Anthimos , Antonopoulou Hera
Published: February 2025

Background/Objectives: The following systematic review integrates neuroimaging techniques with deep learning approaches concerning emotion detection. It, therefore, aims to merge cognitive neuroscience insights with advanced algorithmic methods in pursuit of an enhanced understanding and applications of emotion recognition. Methods: The study was conducted following PRISMA guidelines, involving a rigorous selection process that resulted in the inclusion of 64 empirical studies that explore neuroimaging modalities such as fMRI, EEG, and MEG, discussing their capabilities and limitations in emotion recognition. It further evaluates deep learning architectures, including neural networks, CNNs, and GANs, in terms of their roles in classifying emotions from various domains: human-computer interaction, mental health, marketing, and more. Ethical and practical challenges in implementing these systems are also analyzed. Results: The review identifies fMRI as a powerful but resource-intensive modality, while EEG and MEG are more accessible with high temporal resolution but limited by spatial accuracy. Deep learning models, especially CNNs and GANs, have performed well in classifying emotions, though they do not always require large and diverse datasets. Combining neuroimaging data with behavioral and cognitive features improves classification performance. However, ethical challenges, such as data privacy and bias, remain significant concerns. Conclusions: The study has emphasized the efficiencies of neuroimaging and deep learning in emotion detection, while various ethical and technical challenges were also highlighted. Future research should integrate behavioral and cognitive neuroscience advances, establish ethical guidelines, and explore innovative methods to enhance system reliability and applicability.
Effects of International Shocks on Cocoa Global Production
Authors: Olarte-Libreros Mónica María , Rojas-Mora Jaime Edison , Guerrero-Sierra Hugo Fernando , Niño César , De la Peña Nicolás
Published: February 2025

The global cocoa trade network is highly concentrated. The top 5 producers account for 75 percent of exports. Although recent research shows that agricultural trade was resilient to the 2020 pandemic, cocoa is one of the most affected goods. This paper estimates the effects of international shocks, in general, and COVID-19 on the global cocoa trade. We find that the effect on the top 5 producers is less than on the small-size producers. Also, the COVID-19 pandemic increased production costs, reduced export probability, and created income volatility in small-size producers.
Evaluation of Data-Driven Sustainability Potential at SMEs Using an Altered Ecocanvas Model
Authors: Bálint Levente Péter , Várallyai László , Botos Szilvia
Published: February 2025

Incorporating sustainability into business operations is likely to become one of the most significant priorities and challenges for companies in the near future. SMEs operating within conventional frameworks often experience constraints when adjusting to evolving circumstances. They frequently lack resources, qualified experts, skills, and capabilities to enable the efficient implementation of DT within the organization. In this paper, Eurostat datasets were analyzed to uncover trends in SME digitalization and sustainability, focusing on patterns in data utilization, employee training, and environmental considerations. These insights were integrated into an altered Ecocanvas sustainability modeling tool to develop a framework supporting their strategic planning and decision-making. It has proven to be a useful tool for this purpose by mapping business processes against sustainability and strategic goals while indicating where digital or alternative solutions can be introduced. SMEs analyze data and consider environmental impacts at different levels based on their size categories. To determine whether these differences are statistically significant, we have performed one-way ANOVA tests. This paper aims to provide a data-driven situational analysis and tool, which outlines the benefits of data analytics from several aspects while offering practical recommendations for company leaders to consider and implement.
Economic and Technological Challenges in Zero-Emission Strategies for Energy Companies
Authors: Borowski Piotr F.
Published: February 2025

The energy transition requires substantial financial investments and the adoption of innovative technological solutions. The aim of this paper is to analyze the economic and technological aspects of implementing zero-emission strategies as a key component of the transition toward a carbon-neutral economy. The study assesses the costs, benefits, and challenges of these strategies, with a particular focus on wind farms and nuclear power, including small modular reactors (SMRs). The paper presents an in-depth examination of key examples, including onshore and offshore wind farms, as well as nuclear energy from both large-scale and small modular reactors. It highlights their construction and operating costs, associated benefits, and challenges. The investment required to generate 1 MW of energy varies significantly depending on the technology: onshore wind farms range from $1,300,000 to $2,100,000, offshore wind farms from $3,000,000 to $5,500,000, traditional nuclear power plants from $3,000,000 to $5,000,000, while small modular reactors (SMRs) require between $5,000,000 and $10,000,000 per MW. The discussion underscores the critical role of wind farms in diversifying renewable energy sources while addressing the high capital requirements and technical complexities of nuclear power, including both traditional large-scale reactors and emerging SMRs. By evaluating these energy solutions, the article contributes to a broader understanding of the economic and technological challenges essential for advancing a sustainable energy future.
Analysis of the Layout of Passive Safety Systems When the Spent Fuel Pool Is Built in the Containment
Authors: Gu Zhenjie , Jia Xiaopan , Su Jincheng
Published: February 2025

The Spent Fuel Pool (SFP) is part of the fuel handling and storage system and is generally arranged in an independent building on the Nuclear Island (NI) of Nuclear Power Plants (NPPs). According to the HAF102—Safety Regulations for Nuclear Power Plants Design, it is necessary to ensure the smooth implementation of the safety functions of the SFP under various operating conditions. If the SFP is arranged inside containment, its protection requirements for external events will be significantly reduced, but new requirements will be raised for accident response measures inside containment, namely, that the system performs safety functions to ensure the long-term cooling of both the reactor core and spent fuel components. The reactor type that employs passive principles to realize the above functions requires a reasonable design of the layout of the Passive Safety System (PSS) to ensure nuclear safety. Based on existing reactor schemes, this article analyzes the design of a full-range passive concept for these reactors with an SFP built-in containment. The main focus of this article is on the long-term natural circulation process of PSS in containment under conditions of hypothetical accidents, and the arrangement of system items. Conceptual plans for the operation and layout of the safety system are obtained, which can provide references for the research and design of NPPs with SFP built-in containment.
Determination of the Infection Dynamics of Escherichia coli O157:H7 by Bacteriophage ΦV10
Authors: Oats Michael F. , Coronel-Aguilera Claudia P. , Applegate Bruce M. , Csonka Laszlo N. , Bhunia Arun K. , Gehring Andrew G. , Paoli George C.
Published: February 2025

ΦV10 is an Escherichia coli O157:H7-specific bacteriophage that has been used to develop luminescent reporter assays for the detection of this important foodborne pathogen. Previous work demonstrated the specificity of ΦV10 for infection of E.coli O157:H7 through interaction with the O157 antigen. In addition, modification of the lipopolysaccharide (LPS) via O-acetylation prevents ΦV10 infection in an E. coli O157:H7 expressing a phage-encoded O-acetylase gene. Through assays for phage binding, plaque formation, and lysogeny using non-O157:H7 and O157: non-H7 strains, as well as complementation of an O157:H− strain, it is demonstrated in this study that both the somatic O157 antigen and flagellar H7 antigen are required for productive infection of E. coli O157:H7 by ΦV10. Together, the results indicate that the O157 antigen is required for phage binding and that the H7 antigen is necessary to complete the infection process.
Effect of Superheated Steam Treatment on Rice Quality, Structure, and Physicochemical Properties of Starch
Authors: Wang Ziyu , Xiao Ziwei , Ye Jing , Li Juan , Zhang Xinxia , Li Ting , Wang Li
Published: February 2025

This study aimed to investigate the effect of superheated steam treatment on the cooking and eating quality of rice, and further explore the effect of superheated steam treatment on the structure, gel properties, and rheological behavior of rice starch. After superheated steam treatment, the optimal cooking time of rice was effectively reduced by 26.9%, and the taste value of rice was significantly improved, from 78.45 to 84.20, when treated at 155 °C for 10 s. Superheated steam treatment significantly reduced the amylose and protein content, and increased the average particle size of rice starch. Compared with the control, the enthalpy change (ΔH) in the superheated steam treatment rice starch decreased notably from 6.53 to 5.28 after treatment, the relative crystallinity of the starch was significantly reduced from 21.20 to 10.89, and the short-term order of the starch was enhanced owing to the rearrangement of starch molecules after gelatinization. The starch structure was more compact and orderly after the superheated steam treatment, which significantly improved the hardness, viscoelasticity, and strength of the gel. These results indicate that superheated steam treatment improves the quality of rice by changing the structure of rice starch.
Fractal Dimension Time Series and Interaction Between Entropic Surfaces of Urban Meteorology and Pollutants in a Geographic Basin: Dynamic Effects, Thermal Flows and Anomalous Diffusion
Authors: Pacheco Hernández Patricio , Mera Garrido Eduardo , Navarro Ahumada Gustavo
Published: February 2025

In three periods of 3.25 years each, and at the same six different heights of a basin geomorphology, measurements were made, in the form of a time series, of urban meteorological variables (MV) (temperature, relative humidity, wind speed magnitude) and pollutants (P) (PM10, PM2.5, and CO). It is verified that each time series has a fractal dimension, and the value of its maximum Kolmogorov entropy is determined. These values generate two entropic surfaces according to measurement periods: one for urban meteorology and another for pollutants. The calculation of the gradient to each entropic surface multiplied by the average temperature of the period according to the measurement location gives, approximately, the average entropic force for each location. Combining these results with an analysis of the ratio between urban meteorological entropies and pollutant entropies, it is shown that in a basin morphology the entropic forces associated with pollutants are dominant, a source of heat, and there is a high probability that they produce extreme events. This condition also favors anomalous subdiffusion.
Dynamic Analysis and Implementation of FPGA for a New 4D Fractional-Order Memristive Hopfield Neural Network
Authors: Yu Fei , Zhang Shankou , Su Dan , Wu Yiya , Gracia Yumba Musoya , Yin Huige
Published: February 2025

Memristor-based fractional-order chaotic systems can record information from the past, present, and future, and describe the real world more accurately than integer-order systems. This paper proposes a novel memristor model and verifies its characteristics through the pinched loop (PHL) method. Subsequently, a new fractional-order memristive Hopfield neural network (4D-FOMHNN) is introduced to simulate induced current, accompanied by Caputo’s definition of fractional order. An Adomian decomposition method (ADM) is employed for system solution. By varying the parameters and order of the 4D-FOMHNN, rich dynamic behaviors including transient chaos, chaos, and coexistence attractors are observed using methods such as bifurcation diagrams and Lyapunov exponent analysis. Finally, the proposed FOMHNN system is implemented on a field-programmable gate array (FPGA), and the oscilloscope observation results are consistent with the MATLAB numerical simulation results, which further validate the theoretical analysis of the FOMHNN system and provide a theoretical basis for its application in the field of encryption.
Research and Application of Geomechanics Using 3D Model of Deep Shale Gas in Luzhou Block, Sichuan Basin, Southwest China
Authors: Chen Ye , Li Wenzhe , Wang Xudong , Wang Yuan , Fu Li , Wu Pengcheng , Wang Zhiqiang
Published: February 2025

The deep shale gas resources of the Sichuan Basin are abundant and constitute an important component of China’s natural gas production. Complicated by fault zones and other geostructures, the in situ stress state of the deep shale gas reservoirs in the Luzhou block remains poorly understood. This study integrated multiple datasets, including acoustic logging, diagnostic fracture injection testing (DFIT), imaging logging, and laboratory stress measurements, for calibration and constraint. A high-precision geomechanical model of the Luzhou block was constructed using the finite element method. This model characterizes the geomechanical properties of the reservoir and explores its applications in optimizing shale gas horizontal well placement, drilling processes, and fracture design. The study findings indicate that the Longmaxi Formation reservoir demonstrates abnormally high pore pressure, with gradients ranging from 16.7 to 21.7 kPa/m. The predominant stress regime is strike-slip, with an overburden stress gradient of 25.5 kPa/m and a minimum horizontal principal stress gradient ranging from 18.8 to 24.5 kPa/m. Based on a three-dimensional geomechanical model, a quantitative delineation of areas conducive to density reduction and pressure control drilling was conducted, and field experiments were implemented in well Y65-X. Utilizing an optimized drilling fluid density of 1.85 g/cm3, the deviated horizontal section was completed in a single trip, resulting in a 67% reduction in the drilling cycle compared to adjacent wells. Similarly, the Y2-X well demonstrated a test daily output of 506,900 cubic meters following an optimization of segmentation clustering and fracturing parameters. Studies indicate that 3D geomechanical modeling, informed by multi-source data constraints, can markedly enhance model precision, and such geomechanical models and their results can effectively augment drilling operational efficiency, elevate single-well production, and are advantageous for development.
Adapting Classification Neural Network Architectures for Medical Image Segmentation Using Explainable AI
Authors: Nikulins Arturs , Edelmers Edgars , Sudars Kaspars , Polaka Inese
Published: February 2025

Segmentation neural networks are widely used in medical imaging to identify anomalies that may impact patient health. Despite their effectiveness, these networks face significant challenges, including the need for extensive annotated patient data, time-consuming manual segmentation processes and restricted data access due to privacy concerns. In contrast, classification neural networks, similar to segmentation neural networks, capture essential parameters for identifying objects during training. This paper leverages this characteristic, combined with explainable artificial intelligence (XAI) techniques, to address the challenges of segmentation. By adapting classification neural networks for segmentation tasks, the proposed approach reduces dependency on manual segmentation. To demonstrate this concept, the Medical Segmentation Decathlon ‘Brain Tumours’ dataset was utilised. A ResNet classification neural network was trained, and XAI tools were applied to generate segmentation-like outputs. Our findings reveal that GuidedBackprop is among the most efficient and effective methods, producing heatmaps that closely resemble segmentation masks by accurately highlighting the entirety of the target object.
Multiphoton Microscopy to Visualize Live Renal Nerves in Reanimated Kidney Blocks
Authors: Reifart Joerg , Willey Patrick T. , Iaizzo Paul A.
Published: February 2025

Renal denervation to treat arterial hypertension is growing in adoption but still shows inconsistent results. Device improvement is difficult, as there is currently no way to study the immediate success of renal denervation devices in living tissue. In an effort to visualize live renal nerves surrounding their arteries using multiphoton microscopy, kidney pairs were explanted from Yorkshire pigs. They were maintained viable with a pulsatile perfusion apparatus using Visible Kidney™ methodologies, in which blood is replaced by a modified, oxygenated, and warmed (37 °C) Krebs–Henseleit buffer. The block resection allows catheter placement for nerve ablation treatment. Subsequently, the kidney block was disconnected from the perfusion system and underwent multiphoton microscopy (Nikon A1R 1024 MP). A total of three renal blocks were imaged using this model. Using 780 nm excitation for autofluorescence, we were able to selectively image peri-arterial nerves (2.5–23 μm diameter) alongside arteriolar elastin fibers (1.96 ± 0.87 μm; range: 0.3–4.27) at 25× magnification at a pixel size of 1.02 µm). Autofluoresecence was not strong enough to identify nerves at 4× magnification. There was a high but variable signal-to-noise ratio of 52.3 (median, IQR 159). This model may be useful for improving future physician training and innovations in renal denervation technologies.
Low-Level Kinetic-Energy-Powered Temperature Sensing System
Authors: Ashaduzzaman  , Mangum James M. , Rahman Syed M. , Amin Tamzeed B. , Kabir Md R. , Do Hung , Carichner Gordy , Blaauw David , Thibado Paul M.
Published: February 2025

Powering modern nanowatt sensors from omnipresent low-level kinetic energy: This study investigates the power levels produced by a varying-capacitance kinetic energy harvesting system. A model system consisting of a uniformly driven rotating capacitor was built to develop an accurate output power performance model. We found a quantitative linear relationship between the rectified output current and the input applied bias voltage, driving frequency, and capacitance variation. We also demonstrate that our variable capacitor system is equivalent to a fixed capacitor driven with an alternating current power source. Both the fixed-capacitance and varying-capacitance energy harvesting systems recharge a three-volt battery, which in turn powers a custom ultralow-power-consuming temperature sensor system.
Inhibiting MiR-33a-3p Expression Fails to Enhance ApoAI-Mediated Cholesterol Efflux in Pro-Inflammatory Endothelial Cells
Authors: Huang Kun , Pokhrel Achala , Echesabal-Chen Jing , Scott Justin , Bruce Terri , Jo Hanjoong , Stamatikos Alexis
Published: February 2025

Background and Objectives: Atherosclerosis is an inflammatory condition that results in cholesterol accumulating within vessel wall cells. Atherosclerotic cardiovascular disease is the leading cause of mortality worldwide due to this disease being a major contributor to myocardial infarctions and cerebrovascular accidents. Research suggests that cholesterol accumulation occurring precisely within arterial endothelial cells triggers atherogenesis and exacerbates atherosclerosis. Furthermore, inflamed endothelium acts as a catalyst for atherosclerotic development. Therefore, enhancing cholesterol removal specifically in pro-inflammatory endothelial cells may be a potential treatment option for atherosclerosis. While we have previously shown that inhibiting the microRNA guide strand miR-33a-5p within pro-inflammatory endothelial cells increases both ABCA1 expression and apoAI-mediated cholesterol efflux, it is unknown whether inhibiting the miR-33a-3p passenger strand in pro-inflammatory endothelial cells causes similar atheroprotective effects. In this study, this is what we aimed to test. Materials and Methods: We used plasmid transfection to knockdown miR-33a-3p expression within cultured pro-inflammatory immortalized mouse aortic endothelial cells (iMAECs). We compared ABCA1 expression and apoAI-mediated cholesterol efflux within these cells to cultured pro-inflammatory iMAECs transfected with a control plasmid. Results: The knockdown of miR-33a-3p expression within pro-inflammatory iMAECs resulted in a significant increase in ABCA1 mRNA expression. However, the inhibition of miR-33a-3p did not significantly increase ABCA1 protein expression within pro-inflammatory iMAECs. Moreover, we failed to detect a significant increase in apoAI-mediated cholesterol efflux within pro-inflammatory iMAECs from miR-33a-3p knockdown. Conclusions: Our results indicative that the knockdown of miR-33a-3p alone does not enhance ABCA1-dependent cholesterol efflux within pro-inflammatory endothelial cells. To gain any atheroprotective benefit from inhibiting miR-33a-3p within pro-inflammatory endothelium, additional anti-atherogenic strategies would likely be needed in unison.
Sheep-Derived Lactobacillus johnsonii M5 Enhances Immunity and Antioxidant Capacity, Alleviates Diarrhea, and Improves Intestinal Health in Early-Weaned Lambs
Authors: Wang Zhuo , Zhao Yuwei , Fan Dingkun , Zhang Jixian , Diao Qiyu , Cui Kai
Published: February 2025

The early weaning of lambs frequently leads to weakened immunity, impaired intestinal function, and increased susceptibility to intestinal disease. Lactobacillus plays a role in regulating immunity, enhancing antioxidant capacity, and maintaining intestinal health. This study aims to isolate a strain of Lactobacillus with favorable probiotic properties from sheep feces and investigate its effects on the intestinal health of early-weaned lambs. In this study, the growth characteristics, acid production capacity, bacteriostatic capacity, bile salt tolerance, gastrointestinal fluid tolerance, self-coagulation capacity, and surface hydrophobicity of Lactobacillus isolated from sheep feces were analyzed for in vitro probiotic properties. Lactobacilli with strong probiotic properties were used for in vivo validation. A total of 72 Hu lambs were allocated into four groups: a ewe-reared group (ER), early-weaning group (EW), low-dose Lactobacillus group (LL), and high-dose Lactobacillus group (HL). Early weaning was performed in the EW, LL, and HL groups at the age of 28 days. Lactobacillus johnsonii M5 (L. johnsonii M5), isolated from sheep feces, exhibited strong probiotic properties in vitro. Feeding EW lambs with a low dose of L. johnsonii M5 significantly reduced their diarrhea rate (p < 0.05). Its supplementation increased the levels of superoxide dismutase (SOD), catalase (CAT), and glutathione peroxidase (GSH-Px) and total antioxidant capacity (T-AOC) in serum and jejunal mucosa and decreased levels of malondialdehyde (MDA) (p < 0.05). Compared to the EW group, serum immunoglobulin G (IgG) levels were significantly increased in the LL group (p < 0.05). Compared to the EW group, feeding with L. johnsonii M5 increased the content of anti-inflammatory cytokines, while reducing the content of pro-inflammatory cytokines in serum and jejunal mucosa (p < 0.05). Feeding early-weaned lambs with L. johnsonii M5 also decreased jejunal crypt depth and increased occludin and claudin-1 in jejunal mucosa (p < 0.05). These findings indicate that feeding early-weaned lambs with L. johnsonii M5 enhances their immunity and antioxidant capacity, improving intestinal health, and mitigates diarrhea in early-weaned lambs.
The Encapsulation of Illite Powders with Al2(SO4)3·18H2O and Hydrophilic Copolymers: Accelerating and Toughening Cement Hydration Through the Proliferation of 54CaO·MgO·Al2O3·16SiO2 Clinker
Authors: Song Zhiyuan , Chaudhary Sidra , Bibi Zainab , Wu Yong , Jia Qinxiang , Li Xiaoyong , Sun Yang
Published: February 2025

Two hydrophilic copolymers containing functional groups such as carboxyl, amido, and sulfonic acid are synthesized using ammonium persulfate-catalyzed free radical polymerization in water. Aluminum sulfate is then introduced, resulting in two polymer complexes that exhibit reduced cement setting times (initial, 1.16–2.44 min; final, 2.02–3.14 min) and improved compressive (24 h, 5.81–7.25 MPa) and flexural (24 h, 2.80–2.99 MPa) strengths compared to pure aluminum sulfate-facilitated cementing (initial, 19.11 min; final, 37.05 min; compressive, 24 h, 5.51 MPa; flexural, 24 h, 2.56 MPa). Following this, ball-milled illite powder is added, and the resulting admixtures further display slightly prolonged setting times (initial, 2.35–2.99 vs. 1.16–2.44 min; final, 3.98–4.35 vs. 2.02–3.14 min), along with comparable compressive strengths (5.85–7.11 vs. 5.81–7.25 MPa) and enhanced flexural strengths (3.92–5.83 vs. 2.80–2.99 MPa). Notably, a unique adhesive pozzolanic clinker, Ca54MgAl2Si16O90 (54CaO·MgO·Al2O3·16SiO2), emerges in the presence of illite-based admixtures, contributing to the mechanical strength development of the hydrated mortars. Although illite itself is hydrophobic, the coating of ball-milled illite powder with aluminum sulfate and copolymers facilitates its dispersion into the gaps and pores of the cement matrix during setting, thereby increasing the flexural strength. This work presents an interesting approach to utilizing illite materials in cement applications, which is significant for reducing CO2 emissions during cement production and use.
From Spectacle to Scene: A Pragmatist Approach to Performing Live
Authors: Formis Barbara
Published: February 2025

Drawing from the philosophies of pragmatism and somaesthetics, as developed by Richard Shusterman, this inquiry argues that performance holds a unique ontological status, one that emphasizes participation, shared meaning making, and the aesthetic qualities of ordinary, lived experience. As a philosopher trained as a dancer, I share some insights from my own experience as a performer offering a first-person aesthetic experience as a tool for conceptual inquiry. This experience allows the inquiry to explore the distinction between “scene” and “spectacle”, positioning the scene as a space of co-creation, in contrast to the distant, objectifying gaze encouraged by spectacle. By examining participatory projects and firsthand artistic experiences, I try to illustrate how performance can dissolve the boundaries between art and life, proposing a model of art that is shared, embodied, deeply connected to the rhythms of the everyday and gives foundation to a political transformation.
Correction: Bani-Atta et al. Efficient Photocatalytic Degradation of Methylene Blue and Methyl Orange Using Calcium-Polyoxometalate Under Ultraviolet Irradiation. Processes 2024, 12, 2769
Authors: Bani-Atta Suhair A. , Darwish A. A. A. , Shwashreh Leena , Alotaibi Fatimah A. , Al-Tweher Jozaa N. , Al-Aoh Hatem A. , El-Zaidia E. F. M.
Published: February 2025

With this correction, the Editorial Office together with the authors are making the following amendments to the published article [...]
Polarization in BRICS and G7: Scopus-Indexed Journal Production Trends (2013–2023)
Authors: Kim Eungi , Ramakrishnan Sureshkrishnan , Chiu Jason Lim
Published: February 2025

The objective of this study is to examine disparities in Scopus-indexed journal production between BRICS and G7 countries from 2013 to 2023, focusing on growth trends, open access (OA) and non-OA production, subject representation, and quality metrics. Using data from the SCImago Journal Rank portal, the analysis evaluated growth rates, quartile rankings, and publisher dynamics. G7 countries maintained their global leadership, characterized by stable production systems and high-impact journals predominantly managed by commercial publishers. In contrast, the countries of Brazil, Russia, India, China, and South Africa (BRICS) exhibited diverse trends: China and Russia demonstrated rapid expansion through state-backed initiatives and the rise of domestic publishers, aiming to reduce reliance on foreign publishers and enhance global visibility. However, India experienced a decline, while Brazil and South Africa showed only modest growth in Scopus-indexed journal production. Similarly, G7 countries displayed internal variability, with the UK and Italy achieving notable growth, whereas Japan and France faced declines. These disparities within both groups underscore the critical influence of national research policies and infrastructure on journal production. BRICS countries showed a strong focus on STEM disciplines, with China emerging as a leader in both OA and non-OA journal production. Conversely, G7 countries maintained a balanced representation across STEM and social sciences. These findings suggest that national policies and infrastructure investments are key drivers of journal production growth, with BRICS countries leveraging new initiatives for expansion and G7 countries maintaining dominance through established systems.
Detection of Honey Adulteration by Liquid Chromatography—High-Resolution Mass Spectrometry: Results from an EU Coordinated Action
Authors: Paiano Viviana , Breidbach Andreas , Lörchner Carolin , Ždiniaková Tereza , De Rudder Olivier , Maquet Alain , Alvarellos Lourdes , Ulberth Franz
Published: February 2025

Honey, a sweet and nutritious food produced by honeybees, is extensively consumed by humans due to its potential health benefits. Unfortunately, the adulteration of honey with inexpensive sugar syrups is a prevalent issue. Verifying the authenticity of honey is crucial for maintaining its quality and safety standards. The aim of this study was to identify the illicit addition of sugar syrups to honey imported into the European Union (EU). The European Commission’s Joint Research Centre (JRC) has employed different analytical approaches to detect several markers of adulteration in honey; however, this paper mainly focuses on the use of Liquid Chromatography–High-Resolution Mass Spectrometry (LC-HRMS). Two qualitative methods were developed to detect mannose (Man), difructose anhydride III (DFA III), 2-acetylfuran-3-glucopyranoside (AFGP), and oligo-/polysaccharides with degrees of polymerization (DPs) of 6 to 11. Out of the 320 honey samples provided by the authorities of the participating EU Member States, 147 (46%) were suspicious for non-compliance with the EU Honey Directive 2001/110/EC, mostly due to the presence of mannose and oligo-/polysaccharides. As a result, the development and standardization of sophisticated and universally recognized testing procedures will increase the capability of official control laboratories to detect honey adulteration and will serve as a powerful preventive measure against fraudulent practices in the global honey market.
Development and Validation of a Methodology for Predicting Fuel Consumption and Emissions Generated by Light Vehicles Based on Clustering of Instantaneous and Cumulative Vehicle Power
Authors: Montúfar Paz Paúl Alejandro , Cuisano Julio Cesar
Published: February 2025

In the global context, transportation contributes 26% of the total CO2 emissions, with land transport responsible for 92% of the emissions within the sector. Given this significant contribution to climate change, it is crucial to quantify vehicular impacts to implement effective mitigation strategies. This study introduces an innovative method for predicting fuel consumption and emissions of carbon monoxide, hydrocarbons, and nitrogen oxides in vehicles, based on instantaneous vehicle-specific power (VSP) and mean accumulated power. VSP is a parameter that measures a vehicle’s power in relation to its mass, providing an indicator of the efficiency with which the vehicle converts fuel into motion. This indicator is particularly useful for assessing how vehicles utilize their energy under different driving conditions and how this affects their fuel consumption and emissions. Using data collected from 10 vehicles over 2000 h and covering altitudes from 0 to 4000 m above sea level in Ecuador, the method not only improved the accuracy of consumption predictions, reducing the margin of error by up to 10% at high altitudes, but also provided a detailed understanding of how altitude affects both consumption and emissions. The precision of the new method was notable, with a standard deviation of only 0.25 L per 100 km, allowing for reliable estimates under various operational conditions. Interestingly, the study revealed an average increase in fuel consumption of 0.43 L per 1000 m of altitude gain, while CO2 emissions showed a significant reduction from 260.93 g/km to 215.90 g/km when ascending from 500 m to 4000 m. These findings underscore the relevance of considering altitude in route planning, especially in mountainous terrains, to optimize performance and environmental sustainability. However, the study also indicated an increase in CO and NOx emissions with altitude, a challenge that highlights the need for integrated strategies addressing both fuel consumption and air quality. Collectively, the results emphasized the complex interplay between altitude, energy efficiency, and vehicular emissions, underscoring the importance of a holistic approach to transportation management, to minimize adverse environmental impacts and promote sustainability.
Replacement of Monensin with a Proprietary Tannin-Blend Additive in Calf-Fed Holstein Steer Diets
Authors: Bowman-Schnug Sydney M. , Fuerniss Luke K. , Cameron Joe D. , Beckett Jonathon L. , Ahsin Muhammad , van Vliet Stephan , Hufstedler Guy D. , Johnson Bradley J.
Published: February 2025

The discussion of antimicrobial resistance has begun to impact consumer preference and influence the implementation of certain growth-promoting technologies in the cattle feeding industry [...]
Correction: Theodoropoulos et al. Developing an Interactive VR CAVE for Immersive Shared Gaming Experiences. Virtual Worlds 2023, 2, 162–181
Authors: Theodoropoulos Anastasios , Stavropoulou Dimitra , Papadopoulos Panagiotis , Platis Nikos , Lepouras George
Published: February 2025

Text Correction [...]
Three-Dimensional Simulation of Subsurface Flow Dynamics in Karst Conduits at the Jingxian Pumped Storage Hydropower Plant
Authors: Huang Yinwei , Xu Yuehua , Chen Zihao , Shen Qi , Chen Zhou
Published: February 2025

Three-dimensional numerical simulation of subsurface flow dynamics in karst conduits at dam sites represents a pivotal component of hydrogeological research, essential for unraveling the intricate behavior of water movement within karstified terrains. This study introduces a novel approach for accounting for the presence of karst conduits and presents a comprehensive three-dimensional flow simulation for the dam site of the Jingxian Pumped Storage Hydropower Plant. This method reduces mesh division, simplifies calculations, and improves model convergence. The findings reveal that the numerical model adeptly captures the declining groundwater levels within the study area, with enhanced precision achieved through the utilization of COMSOL’s Line Mass Source feature. By representing leakage tunnel cylinders as edges, the model significantly improves meshing efficiency, circumventing the computational burden associated with the explicit resolution of intricate geometric details. In the absence of remedial measures, the simulation predicts that groundwater will preferentially drain downstream via two distinct leakage pathways at the dam’s base, presenting a potential threat to the structural integrity and operational stability of the project. To address this risk, the implementation of robust seepage control measures is imperative. Once these measures are established, the dam is expected to function as an effective hydraulic barrier, ensuring the long-term stability and operational efficacy of the hydropower plant.
A Preliminary Study on the Eukaryotic Microbial Diversity in Croatian Geothermal Waters
Authors: Mitrović Maja , Čačković Andrea , Selak Lorena , Marković Tamara , Orlić Sandi
Published: February 2025

Microbial eukaryotes have essential roles in aquatic ecosystems, yet their diversity and ecological functions in extreme environments remain understudied compared to prokaryotes. This study aims to thoroughly characterize the composition and diversity of microbial eukaryotic communities in 14 geothermal waters across Croatia. Physicochemical analysis revealed significant variations in temperature (36–55 °C), pH (6.5–8.3), and nutrient concentrations, with all sites displaying anoxic conditions except for one. Sequencing of the V9 18S rRNA gene identified 134 taxa, predominantly from the Alveolata, Stramenopiles, and Opisthokonta supergroups. The highest diversity and richness were observed in aquifer groups with moderate temperatures and nutrient levels, while extreme sites exhibited reduced diversity. Among the key environmental factors shaping these communities, temperature, pH, and nitrate concentrations were most significant. Photoautotrophic and mixotrophic taxa, such as Ochrophyta, Dinoflagellata, and Chlorophyta, were prominent, reflecting their roles in primary production and nutrient cycling. Decomposers, including Basidiomycota and Ascomycota, were linked to organic matter degradation. Microeukaryotes showed adaptations to extreme conditions, such as thermotolerance and evolutionary shifts from phototrophy to heterotrophy, highlighting their ecological versatility. These findings underscore the potential of microbial eukaryotes in biotechnological applications, such as bioremediation and biofuel production. Genera like Tribonema and Navicula demonstrated promising capabilities in nutrient removal and CO2 fixation. However, further research is necessary to investigate and confirm their suitability for these purposes. To summarize, our research provides new insights into understudied microbial eukaryotes in Croatian hot springs that represent a valuable model for exploring microbial diversity, ecological interactions, and industrial applications in extreme environments.
A recepção da Antiguidade Clássica na Contemporaneidade
Authors: Frandji Ingrid Cristini Kroich
Published: February 2025

Nas últimas décadas, os estudos sobre a Antiguidade Clássica passaram a abranger também o impacto das civilizações antigas na formação de identidades nacionais, suas utilizações e retomadas a partir de aspectos políticos e artísticos, ligados aos produtos culturais próprios dos séculos XX e XXI. Compreendendo a relevância do mundo antigo e suas diferentes apropriações e releituras nos últimos três séculos, o presente artigo discorre sobre os resultados obtidos no âmbito do projeto A Recepção da Antiguidade Clássica na Contemporaneidade (2000-2020), desenvolvido na UNESPAR – Campus Paranaguá entre 2022 e 2023. São apresentados os dados quantitativos de cinco eixos de pesquisa (filmes, álbuns musicais, histórias em quadrinhos, séries e jogos).  A partir destes dados, algumas considerações parciais são apresentadas, em especial sobre a relação entre os estudos da recepção e ensino de História.
Os Cristianismos da tradição patrística em disputa ao longo da bacia mediterrânica
Authors: Silva George Augusto da
Published: February 2025

O presente artigo tem por norte apresentar uma discussão, em caráter preliminar, sobre a questão das relações do Cristianismo primevo, com ênfase nos séculos IV e V, entremeados na Bacia Mediterrânica que formavam polos de constituição de identidades cristãs – Hipona e Alexandria, no norte africano, Jerusalém, na Palestina, Antioquia, na Ásia Menor, e Roma, na Itália – e que se conflagravam como possibilidade de formar uma hegemonia na cristalização de uma ortodoxia da Ecclesia em construção naqueles períodos.