bluuebunny/crossref_metadata_2025 huggingface dataset:
The Potential of Utilizing Cattle (Cow) Manure for Biomethane Production—An Experiment for Photofermentation
Authors: Konieczna Anita , Borek Kinga , Hołaj-Krzak Jakub T. , Dybek Barbara , Anders Dorota , Szymenderski Jan , Klimek Kamila , Kapłan Magdalena , Jarosz Zbigniew , Syrotyuk Serhiy , Stanytskyy Taras , Korobka Serhii , Wałowski Grzegorz
Published: December 2024

This article presents the current state of biogas (biomethane) production technology with an example of using cow manure from the perspective of photofermentation efficiency. In specialist farms, there is a problem of waste management in the form of manure; analyses were carried out on the photocatalysis process in order to be able to effectively produce biomethane based on monosubstrate solutions (manure). Cow manure was tested for its elemental composition in order to determine the suitability of this raw material for biogas production. The elemental composition was compared in material A, which was stored for 1 week (fresh sample, wet), and material B, which was stored for 1 month (old sample, dry). In material A and material B, the values were as follows: N: 3.18% and 3.34%; P: 0.403% and 0.492%; K: 1.267% and 2.336%; Na: 0.362% and 0.714%; Ca: 0.705% and 0.788%; and Mg: 0.737% and 0.907%. The quality of biogas produced in atmospheric conditions from cow manure (material A and material B) was assessed. An increase in CH4 production was observed with an increase in temperature. For material A, at a temperature of 22.5 °C, it was in the range of 11–14%; for a temperature of 25.5 °C, it was approx. 35%. For material B, despite small amounts (from 0% to 2%), a tendency to increase CH4 production with an increase in temperature was also observed. At 22.4 °C, it was in the range of 0–1%, and at 25.4 °C, it was about 2%. The novelty of this article is the development of an innovative method of using cow manure, indicating the development of the biomethane industry.
An Isolated Bidirectional Soft-Switching DC-DC Converter for Wide Input/Output Voltage Range
Authors: Spiazzi Giorgio , Rossetto Leopoldo , Mattavelli Paolo , Gallo Ezio , Cvejic Filip
Published: December 2024

This paper presents the analysis and design of an isolated bidirectional DC-DC converter for applications where both input and output voltages may vary in a wide range. The proposed topology is derived from the integration of an isolated Current-Fed Dual-Active-Bridge (CF-DAB) stage with a Four-Switch Buck-Boost cell (4SBB), sharing one switching leg. Detailed design procedures are outlined for both CF-DAB and 4SBB stages, allowing to achieve Zero-Voltage turn-on of all devices while minimizing the inductor current RMS values. An optimized design of the CF-DAB coupled inductors allowed to achieve the desired leakage inductance value without the need for an additional magnetic component. Experimental results taken on a 5 kW prototype interfacing two voltage ports with VL ∈ [42 V, 72 V], VH ∈ [225 V, 435 V] validate the proposed design procedure.
Multiscale Modeling of Silicon Carbide Cladding for Nuclear Applications: Thermal Performance Modeling
Authors: Singh Gyanender , Yu Jianguo , Xu Fei , Yao Tiankai , Xu Peng
Published: December 2024

The complex multiscale and anisotropic nature of silicon carbide (SiC) ceramic matrix composite (CMC) makes it difficult to accurately model its performance in nuclear applications. The existing models for nuclear grade composite SiC do not account for the microstructural features and how these features can affect the thermal and structural behavior of the cladding and its anisotropic properties. In addition to the microstructural features, the properties of individual constituents of the composites and fiber tow architecture determine the bulk properties. Models for determining the relationship between the individual constituents’ properties and the bulk properties of SiC composites for nuclear applications are absent, although empirical relationships exist in the literature. Here, a hierarchical multiscale modeling approach was presented to address this challenge. This modular approach addressed this difficulty by dividing the various aspects of the composite material into separate models at different length scales, with the evaluated property from the lower-length-scale model serving as an input to the higher-length-scale model. The multiscale model considered the properties of various individual constituents of the composite material (fiber, matrix, and interphase), the porosity in the matrix, the fiber volume fraction, the composite architecture, the tow thickness, etc. By considering inhomogeneous and anisotropic contributions intrinsically, our bottom-up multiscale modeling strategy is naturally physics-informed, bridging constitutive law from micromechanics to meso-mechanics and structural mechanics. The effects that these various physical attributes and thermo-physical properties have on the composite’s bulk thermal properties were easily evaluated and demonstrated through the various analyses presented herein. Since silicon carbide fiber-reinforced SiC CMCs are also promising thermal–structural materials with a broad range of high-end technology applications beyond nuclear applications, we envision that the multiscale modeling method we present here may prove helpful in future efforts to develop and construct reinforced CMCs and other advanced composite nuclear materials, such as MAX phase materials, that can service under harsh environments of ultrahigh temperatures, oxidation, corrosion, and/or irradiation.
Generating Electricity with Hydraulically Amplified Self-Healing Electrostatic (HASEL) Transducers
Authors: Hess Isabel , Chamot Stephen , Boren Blake , Musgrave Patrick
Published: December 2024

This study identifies hydraulically amplified self-healing electrostatic (HASEL) transducers as electricity generators, contrary to their conventional role as actuators. HASELs are soft, variable-capacitance transducers inspired by biological muscles which were developed to mimic the flexibility and functionality of natural muscle tissues. This research characterizes HASELs as generators by reversing their energy conversion mechanism—generating electricity through mechanical deformation. The study assesses the practical laboratory performance of HASELs by analytic modeling and experimental evaluation. Outcomes of the study include the following: (i) up to 2.5 mJ per cycle per 50 mm wide HASEL pouch of positive net energy generation in experimental testing—corresponding to an energy density of 2.0 mJ cm−3; (ii) a maximum theoretical energy density of 4.2 mJ cm−3; (iii) the electromechanical characteristics governing efficient conversion; and (iv) design considerations to enhance HASEL generator performance in future applications. This study broadens HASEL’s applicability and utility as a multi-functional transducer for renewable energy and general adaptive electricity generation.
Simulation Model of a Unified Energy System for Different Scenarios of Planned Disturbances
Authors: Bashynska Iryna , Kryvda Viktoriia , Sala Dariusz , Niekrasova Liubov , Maksymov Oleksii , Suvorov Vladyslav
Published: December 2024

The study established that the application of graph theory enables the creation of a model of a country’s power system structure in the form of a tiered graph. This allows complex structural elements of the system, such as generating units, electrical substations, and power transmission lines, to be represented as nodes and edges in simulation models that can be used for analysis, dispatch control, and optimization of system operation. A simulation model of the unified power system has been developed to analyze operational efficiency and performance under various planned disturbance scenarios. To solve the given task, it is necessary to develop a model of the power system in the form of a tiered graph, where the nodes are generating equipment stations, transmission system substations with voltages from 330 kV to 750 kV, and distribution system substations with voltages from 110 kV to 220 kV, and the edges are power transmission lines with voltages from 110 kV to 750 kV. The model takes into account the generated and transmitted power, the nominal capacity and the number of transformers at the substations, the cross-section and maximum throughput of the power transmission lines, which made it possible to determine complex interconnections between its nodes and integrate the equipment into a unified power system for efficiency and performance analysis.
Scientific Workflow-Based Synthesis of Optimal Microgrid Configurations
Authors: Edeleva Olga , Edelev Alexei , Voskoboinikov Mikhail , Feoktistov Alexander
Published: December 2024

Nowadays, multi-energy systems play an important role in satisfying the ever-increasing demand for different energy resources. At the same time, the sustainable development of such systems is usually based on the structural and parametric optimization (synthesis) of their infrastructures. There is a large spectrum of specialized optimization tools for the study of single energy systems. At the same time, the problem of modeling the interaction between single energy systems remains challenging. Therefore, it is imperative to develop an efficient experimental environment to effectively implement the synthesis of optimal configurations of multi-energy systems. Microgrids are a special case of multi-energy systems. They provide a higher level of energy supply compared to the main grids and enhance their reliability and resilience. In this context, we propose a framework and subject-oriented environment for the synthesis of optimal microgrid configurations in a reasonable time considering the available computational resources. The basis of the environment is a service-oriented application. The modeling and optimization of the studied systems is performed by means of scientific workflows. Our results complement and develop known approaches to automate the modeling of multi-energy systems using their typical models and specially selected optimization algorithms corresponding to these models. We have successfully tested our approach for the synthesis of optimal microgrid configurations on the case study of a specific microgrid providing heat and electricity to a small settlement.
Advances in Global Remote Sensing Monitoring of Discolored Pine Trees Caused by Pine Wilt Disease: Platforms, Methods, and Future Directions
Authors: Shi Hao , Chen Liping , Chen Meixiang , Zhang Danzhu , Wu Qiangjia , Zhang Ruirui
Published: December 2024

Pine wilt disease (PWD), caused by pine wood nematodes, is a major forest disease that poses a serious threat to global pine forest resources. Therefore, the prompt identification of PWD-discolored trees is crucial for controlling its spread. Currently, remote sensing is the primary approach for monitoring PWD. This study comprehensively reviews advances in the global remote sensing monitoring of PWD. It explores the remote sensing platforms and identification methods used in the detection of PWD-discolored trees, evaluates their precision, and provides prospects for existing problems. Three observations were made from existing studies: First, unmanned aerial vehicles (UAVs) are the dominant remote sensing platforms, and RGB data sources are the most commonly used for identifying PWD-discolored trees. Second, deep-learning methods are increasingly applied to identify PWD-discolored trees. Third, the early monitoring of PWD-discolored trees has gained increasing attention. This study reveals the problems associated with the acquisition of remote sensing images and identification algorithms. Future research directions include the fusion of multiple sensors to enhance the identification precision and early monitoring of PWD-discolored trees to obtain an optimal detection window period. This study aimed to provide technical references and scientific foundations for the comprehensive monitoring and control of PWD.
A Systematic Comparison Between Open- and Closed-Source Large Language Models in the Context of Generating GDPR-Compliant Data Categories for Processing Activity Records
Authors: von Schwerin Magdalena , Reichert Manfred
Published: December 2024

This study investigates the capabilities of open-source Large Language Models (LLMs) in automating GDPR compliance documentation, specifically in generating data categories—types of personal data (e.g., names, email addresses)—for processing activity records, a document required by the General Data Protection Regulation (GDPR). By comparing four state-of-the-art open-source models with the closed-source GPT-4, we evaluate their performance using benchmarks tailored to GDPR tasks: a multiple-choice benchmark testing contextual knowledge (evaluated by accuracy and F1 score) and a generation benchmark evaluating structured data generation. In addition, we conduct four experiments using context-augmenting techniques such as few-shot prompting and Retrieval-Augmented Generation (RAG). We evaluate these on performance metrics such as latency, structure, grammar, validity, and contextual understanding. Our results show that open-source models, particularly Qwen2-7B, achieve performance comparable to GPT-4, demonstrating their potential as cost-effective and privacy-preserving alternatives. Context-augmenting techniques show mixed results, with RAG improving performance for known categories but struggling with categories not contained in the knowledge base. Open-source models excel at structured legal tasks, although challenges remain in handling ambiguous legal language and unstructured scenarios. These findings underscore the viability of open-source models for GDPR compliance, while highlighting the need for fine-tuning and improved context augmentation to address complex use cases.
Carbon Fiber Recycling from Waste CFRPs via Microwave Pyrolysis: Gas Emissions Monitoring and Mechanical Properties of Recovered Carbon Fiber
Authors: Chin Kai-Yen , Shiue Angus , You Jhu-Lin , Wu Yi-Jing , Cheng Kai-Yi , Chang Shu-Mei , Li Yeou-Fong , Tseng Chao-Heng , Leggett Graham
Published: December 2024

Disposing of carbon fiber-reinforced polymers (CFRPs) has become a pressing issue due to their increasing application across various industries. Previous work has focused on removing silane coupling agent residues on recovered carbon fibers via microwave pyrolysis, making them suitable for use in new materials. However, the mechanical performance and structural characteristics of these fibers have not been fully reported. This study investigates the time–temperature curves of CFRPs treated through microwave pyrolysis and analyzes the mechanical and structural properties of silane-controllable recovered carbon fibers. Additionally, emissions—including carbon monoxide, carbon dioxide, and particulate aerosols—were measured using handheld monitors and thermal desorption–gas chromatography/mass spectrometry to determine the composition of fugitive gases around the microwave pyrolysis system. The pyrolysis process at 950 °C, with an additional 1 h holding time, reduced the crystallite size from 0.297 Å to 0.222 Å, significantly enhancing tensile strength (3804 ± 713 MPa) and tensile modulus (200 ± 13 GPa). This study contributes to more sustainable CFRP waste treatment and highlights the potential for reusing high-quality carbon fibers in new applications, enhancing both environmental and worker safety.
A Novel Non-Alcoholic Einkorn-Based Beverage Produced by Lactic Acid Fermentation: Microbiological, Chemical, and Sensory Assessment
Authors: Maoloni Antonietta , Cirlini Martina , Del Vecchio Lorenzo , Torrijos Raquel , Carini Eleonora , Rampanti Giorgia , Cardinali Federica , Milanović Vesna , Garofalo Cristiana , Osimani Andrea , Aquilanti Lucia
Published: December 2024

Einkorn (Triticum monococcum L. ssp. monococcum) is gaining renewed interest for its high nutritional value and digestibility. Lactic acid fermentation could enhance these properties by improving micronutrient bioavailability, sensory properties, and shelf life. This study aimed to develop a novel non-alcoholic einkorn-based beverage through lactic acid fermentation. A multiple-strain starter was selected based on acidifying properties and inoculated into an einkorn-based substrate to produce a yogurt-like beverage. Prototypes were evaluated through physico-chemical, chemical, and microbiological analyses and compared to uninoculated controls. A sensory analysis was also performed to assess flavor attributes before and after lactic acid fermentation. The inoculated starter culture reached a load of approximately 9 Log CFU g⁻¹ and remained viable throughout storage, leading to an increase in lactic acid concentration and high titratable acidity, corresponding to low pH values. Total polyphenol content increased during fermentation and remained stable during storage, whereas antioxidant activity did not show significant differences over time. An increase in monosaccharides, acids, and ketones was observed during fermentation and storage. The prototypes exhibited a distinctive proximate composition, along with yogurt and fruity aroma notes. These results suggest the feasibility of producing a safe and stable non-alcoholic einkorn-based fermented beverage with appealing sensory characteristics.
Antioxidant Peptides from Sacha Inchi Meal: An In Vitro, Ex Vivo, and In Silico Approach
Authors: Torres-Sánchez Erwin , Lorca-Alonso Iván , González-de la Fuente Sandra , Hernández-Ledesma Blanca , Gutiérrez Luis-Felipe
Published: December 2024

Plant-derived antioxidant peptides safeguard food against oxidation, helping to preserve its flavor and nutrients, and hold significant potential for use in functional food development. Sacha Inchi Oil Press-Cake (SIPC), a by-product of oil processing, was used to produce Sacha Inchi Protein Concentrate (SPC) in vitro, hydrolyzed by a standardized static INFOGEST 2.0 protocol. This study aimed to integrate in vitro, ex vivo, and in silico methods to evaluate the release of antioxidant peptides from SPC during gastrointestinal digestion. In vitro and ex vivo methods were used to investigate the antioxidant potential of SPC digests. Bioinformatics tools (find-pep-seq, AnOxPP, AnOxPePred-1.0, PepCalc, MLCPP 2.0, Pasta 2.0, PlifePred, Rapid Peptide Generator, and SwissADME) were employed to characterize antioxidant peptides. The gastric and intestinal digests exhibited higher ABTS and ORAC values than those of SPC. Under basal conditions, gastric digest fractions GD1, GD2, and GD3 (<3, 3–10, and >10 kDa, respectively), separated by ultrafiltration, significantly reduced the ROS levels in the RAW264.7 macrophages while, under LPS stimulation, GD1 (16 µg/mL) and GD2 (500 and 1000 µg/mL) reversed the induced damage. From the de novo peptidome determined, 416 peptides were selected based on their resistance to digestion. Through in silico tools, 315 resistant peptides were identified as antioxidants. Despite low predicted bioavailability, the peptides SVMGPYYNSK, EWGGGGCGGGGGVSSLR, RHWLPR, LQDWYDK, and ALEETNYELEK showed potential for extracellular targets and drug delivery. In silico digestion yielded the sequences SVMGPY, EW, GGGGCGGGGGVSS, PQY, HGGGGGG, GGGG, HW, and SGGGY, which are promising free radical scavengers with increased bioavailability. However, these hypotheses require confirmation through chemical synthesis and further validation studies.
Effect of Fatty Acids on Backfat Quality in Beijing Black Pigs
Authors: Zhu Xueli , Tian Weilong , Hu Ziping , Hou Renda , Hou Xinhua , Wang Ligang , Zhang Longchao , Pu Lei , Wang Lixian , Liu Xin
Published: December 2024

The quality of pig backfat affects both pork quality and consumer preferences. Fatty acids (FAs) are crucial in determining the backfat quality. This study assessed the effect of FAs on the backfat quality and identified candidate genes associated with these FAs. The differential fatty acids (DFAs) were compared in pigs with varying backfat firmness and four DFAs—caproic acid, stearic acid, linoleic acid and alpha-linolenic acid—were selected based on T-tests (p < 0.05), fold changes (FC > 2 or FC < 0.5), and variable importance (VIP > 1). Genome-wide association studies on the DFAs and linoleic acid/alpha-linolenic acid ratios in 413 Beijing Black pigs identified 22 single-nucleotide polymorphisms significantly associated with one or more traits. The genes PLPP3, MGLL, CYP27A1 and UBE3C were identified as candidates associated with these traits influencing the backfat quality. These findings enhance our understanding of the backfat quality in Beijing Black pigs and provide a basis for further research.
The Microbial Diversity and Flavor Metabolism Regulation of Xiangzao During Different Natural Fermentation Time Periods
Authors: Zhang Rongbin , Liu Shuangping , Liu Tiantian , Chang Rui , Liu Guixiao , Li Mingliang , Mao Jian
Published: December 2024

Xiangzao brine is a special flavored food produced by the natural fermentation of Huangjiu lees. To clarify fermentation time on its quality, this study integrated flavoromics analysis, macro-genomics, and polypeptide omics to analyze the volatile flavor components, microbial species, and flavor peptide distributions of four groups of samples (XZ-1Y, XZ-2Y, XZ-3Y, and XZ-4Y) fermented for 1–4 years. The results showed that the samples fermented for 1 year had the highest contents of umami amino acids and umami peptides, and the samples fermented for 4 years had the highest contents of organic acids and fruity components. In addition, 42 volatile flavor components and 532 peptides were identified, including 393 umami taste peptides and only 37 bitter taste peptides. Correlation analysis showed that ethyl lactate and furfural were positively correlated with the abundance of Nocardioides and Stenotrophomonas, respectively. The abundance of Pseudomonas was positively correlated with four previously unreported umami peptides (FATPR, RELER, FNLERP, and RSSFLGQ) screened by molecular docking. This study provides a reference for the flavor metabolism regulation of Xiangzao brine.
Assessment of Validated Instruments for Measuring Cooking Skills in Adults: A Scoping Review
Authors: Lins Maísa Fernandes Caixeta , Botelho Raquel Braz Assunção , Romão Bernardo , Torres Maria Luiza , Guimarães Nathalia Sernizon , Zandonadi Renata Puppin
Published: December 2024

Home-cooked meals are linked to healthier diets, but assessing cooking skills accurately remains challenging. This review aimed to evaluate and compare available validated instruments to assess adult cooking skills; the Joanna Briggs Institute’s manual and PRISMA-ScR checklist were followed. A search was conducted in April 2024 in five databases using MeSH Terms and adaptations, including studies written without time or language restrictions and with validated instruments to assess adult cooking skills. Reviews, conference abstracts, books, chapters, and case reports were excluded; 1070 studies were identified, and 38 remained after removing duplicates and applying eligibility criteria. Eleven different instruments were identified. Some instruments have been successfully adapted and validated in various countries, covering a broad range of skills, such as meal organization, preparation and cooking techniques, providing a thorough assessment of cooking skills. The Cooking and Food Skill Confidence Questionnaire was considered the best available model, considering its items and domains, direct relation to cooking skills, and easy translation into other cultures. The analysis revealed significant variations in the scales used, with some instruments offering detailed assessments of specific cooking techniques and easy cultural adaptation while others focused more on confidence and attitudes.
A Fourier Series Technique for Approximate Solutions of Modified Anomalous Time-Fractional Sub-Diffusion Equations
Authors: Kheybari Samad , Alizadeh Farzaneh , Darvishi Mohammad Taghi , Hosseini Kamyar
Published: December 2024

This article presents an innovative approximating technique for addressing modified anomalous time-fractional sub-diffusion equations (MAFSDEs) of the Caputo type. These equations generalize classical diffusion equations, which involve fractional derivatives with respect to time, capturing the non-local and history-dependent behavior typical in sub-diffusion processes. In such a model, the particle transports slower than in a standard diffusion, often due to obstacles or memory effects in the medium. The core of the proposed technique involves transforming the original problem into a family of independent fractional-order ordinary differential equations (FODEs). This transformation is achieved using the Fourier expansion method. Each of these resulting FODEs is defined under initial value conditions which are derived from the initial condition of the original problem. To solve them, for each resulting FODE, some secondary initial value problems are introduced. By solving these secondary initial value problems, some particular solutions are obtained and then we combine them linearly in an optimal manner. This combination is essential to estimate the solution of the original problem. To evaluate the accuracy and effectiveness of the proposed scheme, we conduct a various test problem. For each problem, we analyze the observed convergence order indicators and compare them with those from other methods. Our comparison demonstrates that the proposed technique provides enhanced precision and reliability in respect with the current numerical approaches in the literature.
Non-Alcoholic Fatty Liver Disease, Awareness of a Diagnostic Challenge—A Clinician’s Perspective
Authors: Marginean Cristina Maria , Pirscoveanu Denisa , Cazacu Sergiu Marian , Popescu Marian Sorin , Marginean Iulia Cristina , Iacob George Alexandru , Popescu Mihaela
Published: December 2024

Non-alcoholic fatty liver disease (NAFLD) is the main cause of chronic liver disease globally. NAFLD is a complex pathology, considered to be the hepatic expression of metabolic syndrome (MetS). It is supposed to become the main indication for liver transplantation in the coming years and is estimated to affect 57.5–74.0% of obese people, 22.5% of children and 52.8% of obese children, with 50% of individuals with type 2 diabetes being diagnosed with NAFLD. Recent research has proved that an increase in adipose tissue insulin resistance index is an important marker of liver injury in patients with NAFLD. Despite being the main underlying cause of incidental liver damage and a growing worldwide health problem, NAFLD is mostly under-appreciated. Currently, NAFLD is considered a multifactorial disease, with various factors contributing to its pathogenesis, associated with insulin resistance and diabetes mellitus, but also with cardiovascular, kidney and endocrine disorders (polycystic ovary syndrome, hypothyroidism, growth hormone deficiency). Hepatitis B and hepatitis C, sleep apnea, inflammatory bowel diseases, cystic fibrosis, viral infections, autoimmune liver diseases and malnutrition are some other conditions in which NAFLD can be found. The aim of this review is to emphasize that, from the clinician’s perspective, NAFLD is an actual and valuable key diagnosis factor for multiple conditions; thus, efforts need to be made in order to increase recognition of the disease and its consequences. Although there is no global consensus, physicians should consider screening people who are at risk of NAFLD. A large dissemination of current concepts on NAFLD and an extensive collaboration between physicians, such as gastroenterologists, internists, cardiologists, diabetologists, nutritionists and endocrinologists, is equally needed to ensure we have the knowledge and resources to address this public health challenge.
Seismic Activity Along the Periadriatic and Sava Faults in the Past Two Millennia—An Archaeoseismological Assessment
Authors: Kázmér Miklós , Gaidzik Krzysztof
Published: December 2024

Most of the Periadriatic Fault System has been active during the Oligocene and Miocene times. Its western part seems to be almost inactive ever since, while the eastern segments show limited seismic activity. We conducted a systematic archaeoseismological survey along the Periadriatic-Sava fault system, assessing buildings and archaeological sites for earthquake damage. Eleven sites, four Roman and seven Medieval, bear evidence of destructive earthquakes which occurred during the past 2000 years. These are (from east to west): Roman Siscia (Sisak) near the Sava fault in Croatia, Roman Celeia (Celje) at the Savinja/Sava faults in Slovenia, Magdalensberg (Roman) just north of the Karavanka fault, Medieval Villach, the Dobratsch landslide and Medieval Arnoldstein at the junction of Mölltal and Gailtal faults, Medieval Millstatt, Sachsenburg. and Roman Teurnia on the Mölltal Fault, Medieval Lienz (all in Austria) and San Candido on the Pustertal fault, as well as Medieval Merano and Tirol (in Italy) adjacent to the North Giudicarie fault zone. Damaged upright walls of Medieval buildings and deformed floors of Roman settlements testify to local intensity up to IX. Ongoing studies of archaeological stratigraphy and construction history allow the dating of one or more seismic events at each site, ranging from the 1st century AD to the 17th century. It is remarkable that the sites, 20 to 70 km apart, along a <400 km long segment of the Periadriatic Fault system, carry evidence for so many high-intensity destructive events, suggesting that the region is tectonically active.
The First-Ever Encounter with Salmonella enterica Serovar Hvittingfoss Causing Acute Gastroenteritis in India: A Case Report
Authors: Sumana Mahadevaiah Neelambike , Rao Morubagal Raghavendra , Rajshekar Deepashree , Karthik Krishna , Shah Nikita K , Swamy Veerabhadra , Shylaja Eshwar Chinchana , Maheshwarappa Yogeesh D
Published: December 2024

Background: Salmonella enterica serovar Hvittingfoss, a member of the non-typhoidal Salmonella group, is an important foodborne serovar most frequently identified in regions (Australia, Belgium, and the United States) with active surveillance systems. This serovar has been implicated in outbreaks of foodborne illness. Soft cheese, crab cocktail, beef, and rock melon are commonly involved in these outbreaks. Although the definitive host of this serovar is not yet established, Salmonella Hvittingfoss can be found in wild animals (Feral pigs), bird populations (Bar-tailed godwit, Plumed whistling ducks, White-naped crane, and Sharp-tailed sandpiper), and domestic birds like chickens. Case presentation: We report the first case of Salmonella enterica serovar Hvittingfoss causing acute gastroenteritis in a 52-year-old male labourer and agriculturist from a rural area of Mysuru, South India. This is the first documented case of Salmonella Hvittingfoss causing acute gastroenteritis in India. Conclusions: While non-typhoidal Salmonella infections typically resolve on their own, they can be particularly dangerous for certain demographics, such as children, the elderly, and those with compromised immune systems. Therefore, studying the different serotypes of these infections in both clinical and subclinical cases is crucial for targeting effective surveillance, hygiene practises, and food safety measures that can mitigate their impact on public health.
A Comprehensive Analysis of Liver Lipidomics Signature in Adults with Metabolic Dysfunction-Associated Steatohepatitis—A Pilot Study
Authors: Mouskeftara Thomai , Kalopitas Georgios , Liapikos Theodoros , Arvanitakis Konstantinos , Theocharidou Eleni , Germanidis Georgios , Gika Helen
Published: December 2024

Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD) is the most common chronic liver disorder in Western countries, encompassing a range of conditions from steatosis to Metabolic Dysfunction-Associated Steatohepatitis (MASH), which can potentially progress to cirrhosis. Lipidomics approaches have revealed significant alterations in the hepatic lipidome associated with both steatosis and steatohepatitis, with these changes correlating with disease manifestation. While the transition from steatosis to MASH remains poorly understood, recent research indicates that both the quantity and quality of deposited lipids play a pivotal role in MASLD progression. In our study, we utilized untargeted and targeted analyses to identify intact lipids and fatty acids in liver biopsies from healthy controls and MASLD patients, categorized based on their histological findings. In total, 447 lipid species were identified, with 215 subjected to further statistical analysis. Univariate and multivariate analyses revealed alterations in triglyceride species and fatty acids, including FA 16:0, FA 16:1, FA 18:3 n6, the sum of MUFA, and the Δ9-desaturase activity ratio. This research provides insights into the connection between dysregulated lipid metabolism in the progression of MASLD, supporting previous findings. Further studies on lipid metabolism could improve risk assessment methods, particularly given the current limited understanding of the transition from steatosis to MASH.
Mitochondrial Function and Oxidative Stress Biomarkers in Diabetic Retinopathy Development: An Analytical Cross-Sectional Study
Authors: Robles-Rivera Ricardo Raúl , Pacheco-Moisés Fermín Paul , Olvera-Montaño Cecilia , Castellanos-González José Alberto , Barley-Villaseñor Andre Leonardo , Cardona-Muñoz Ernesto Germán , Rodríguez-Carrizalez Adolfo Daniel
Published: December 2024

DR is a complex complication of DM with multiple biochemical pathways implicated in its genesis and progression. Circulating OS and mitochondrial function biomarkers represent potential candidates in the DR staging system. We conducted a comparative cross-sectional study comparing the OS biomarkers: TAC, GR, NOS, CARB, and hydroperoxydes, as well as mitochondrial function biomarkers: ATP synthase and ATPase activity in healthy volunteers, DM w/o DR, Moderate and Severe NPDR, and PDR. TAC is progressively diminished the more DR progresses to its proliferative stages. GR and NOS may function as biomarkers to differentiate the progression from S NPDR to PDR. CARB may correlate with the progression from M NPDR to S NPDR. Hydroperoxide levels were higher in patients with DR compared to DM w/o DR expressing OS in the early development of DR. ATPase activity is increasingly augmented the more DR progresses and may function as a biomarker that reflects the difference between N PDR and PDR, and ATP synthesis was lower the more DR progressed, being significantly lower compared to DM w/o DR. The behavior of OS and mitochondrial function in several stages of DR may aid in the staging and the prognosis of DR.
Variations in BDNF and Their Role in the Neurotrophic Antidepressant Mechanisms of Ketamine and Esketamine: A Review
Authors: Pardossi Simone , Fagiolini Andrea , Cuomo Alessandro
Published: December 2024

Brain-derived neurotrophic factor (BDNF) is critical for neuroplasticity, synaptic transmission, and neuronal survival. Studies have implicated it in the pathophysiology of depression, as its expression is significantly reduced in brain areas such as the prefrontal cortex and hippocampus in patients with depression. Our narrative review focuses on the relationship between BDNF, ketamine, and esketamine, specifically by summarizing human studies investigating BDNF variations in patients treated with these two drugs. BDNF plays a pivotal role in neuroplasticity and neurotrophic mechanisms that can be enhanced by traditional antidepressants, which have been shown to increase BDNF levels both peripherally and in targeted brain regions. Ketamine and its S-enantiomer, esketamine, exert both rapid and sustained antidepressant effects through activation of glutamate-related pathways, with neurotrophic effects involving BDNF, as demonstrated in experimental studies. However, clinical findings have shown mixed results, with most indicating an increase in plasma BDNF in patients treated with intravenous ketamine, although some studies contradict these findings. In addition to this, there are few studies of BDNF and esketamine. Currently, the limited number of studies suggests the need for further research, including larger sample sizes and investigations of BDNF and intranasal esketamine, which has been approved by several regulatory agencies for the treatment of treatment-resistant depression.
The PpPep2-Triggered PTI-like Response in Peach Trees Is Mediated by miRNAs
Authors: Foix Laura , Pla Maria , Martín-Mur Beatriz , Esteve-Codina Anna , Nadal Anna
Published: December 2024

Plant diseases diminish crop yields and put the world’s food supply at risk. Plant elicitor peptides (Peps) are innate danger signals inducing defense responses both naturally and after external application onto plants. Pep-triggered defense networks are compatible with pattern-triggered immunity (PTI). Nevertheless, in complex regulatory pathways, there is crosstalk among different signaling pathways, involving noncoding RNAs in the natural response to pathogen attack. Here, we used Prunus persica, PpPep2 and a miRNA-Seq approach to show for the first time that Peps regulate, in parallel with a set of protein-coding genes, a set of plant miRNAs (~15%). Some PpPep2-regulated miRNAs have been described to participate in the response to pathogens in various plant–pathogen systems. In addition, numerous predicted target mRNAs of PpPep2-regulated miRNAs are themselves regulated by PpPep2 in peach trees. As an example, peach miRNA156 and miRNA390 probably have a role in plant development regulation under stress conditions, while others, such as miRNA482 and miRNA395, would be involved in the regulation of resistance (R) genes and sulfate-mediated protection against oxygen free radicals, respectively. This adds to the established role of Peps in triggering plant defense systems by incorporating the miRNA regulatory network and to the possible use of Peps as sustainable phytosanitary products.
Developing an Ontology for Concrete Surface Defects to Enhance Inspection, Diagnosis and Repair Information Modeling
Authors: Bahreini Fardin , Hammad Amin
Published: December 2024

Facility maintenance requires thorough inspections throughout a facility’s lifecycle to ensure structural integrity and longevity. A significant challenge lies in managing the semantic relationships between various inspection data across different lifecycle phases and effectively representing inspection results. While numerous studies have focused on identifying, analyzing, repairing, and preventing defects, organizing and integrating this information systematically for future use remains unaddressed. This paper introduces the Ontology for Concrete Surface Defects (OCSD), a unified knowledge model that enables stakeholders to access information systematically. OCSD aims to enhance future asset management systems by providing comprehensive knowledge about concrete surface defects, encompassing inspection, diagnosis, 3R (Repair, Rehabilitation, and Replacement), and defect concepts. Although the integration with Building Information Modeling (BIM) standards like the Industry Foundation Classes (IFC) is not undertaken in this study, OCSD provides a foundational framework that can facilitate such mappings in subsequent studies or applications. The methodology includes reviewing existing literature to define relevant concepts, outlining steps for developing OCSD, creating its basic components, and evaluating its effectiveness. The semantic representation of OCSD was assessed through a survey, confirming its ability to clarify concepts and relationships in this field.
Theoretical Investigations of Para-Methoxystyrene/Styrene Polymerization Catalyzed by Cationic Methyl- and Dibenzobarrelene-Based α-Diimine Palladium Complexes
Authors: Zhu Ling , Luo Yi , Wen Xin , Zhang Wenzhen , Zhou Guangli
Published: December 2024

The polymerization mechanism of para-methoxystyrene catalyzed by cationic α-diimine palladium complexes with various ancillary ligands was rigorously examined using density functional theory. In the classical methyl-based α-diimine palladium complex [{(2,6-iPr2C6H3)-N=C(Me)-C(Me)=N-2,6-iPr2C6H3)}PdMe]+ (A+), the 2,1-insertion of para-methoxystyrene is favored over the 1,2-insertion, both thermodynamically and kinetically, during the chain initiation step. The resulting thermodynamically favored η3-π-benzyl intermediates face a substantial energy barrier, yielding only trace amounts of polymer, as experimentally verified. In contrast, the dibenzobarrelene-based α-diimine palladium complex [{(2,6-iPr2C6H3)-N=C(R)-C(R)=N-2,6-iPr2C6H3)}PdMe]+ (R = dibenzobarrelene, B+) shows similar energy barriers for both 2,1- and 1,2-insertions. Continuous 2,1/2,1 or 2,1/1,2 insertions are impeded by excessive energy barriers. However, theoretical calculations reveal that the 1,2-insertion product can seamlessly transition into the chain propagation stage, producing a polymer with high 1,2-regioselectivity. The observed activity of complexes A+ or B+ towards para-methoxystyrene polymerization stems from the energy barrier differences between the 1,2- and 2,1-insertions, influenced by the steric hindrance from the ancillary ligands. Further investigation into the effects of steric hindrance on the chain initiation stage involved computational modeling of analogous complexes with increased steric bulk. These studies established a direct correlation between the energy barrier difference ∆∆G (1,2–2,1) and the van der Waals volume of the ancillary ligand. Larger van der Waals volumes correspond to reduced energy barrier differences, thus enhancing the regioselectivity for para-methoxystyrene polymerization. Moreover, the experimental inertness of complex B+ towards styrene polymerization is attributed to the formation of stable kinetic and thermodynamic 2,1-insertion intermediates, which obstruct further styrene monomer insertion due to an extremely high reactive energy barrier. These findings contribute to a deeper understanding of the mechanistic aspects and offer insights for designing new transition metal catalysts for the polymerization of para-alkoxystyrenes.
Habitat Suitability of Danaus genutia Based on the Optimized MaxEnt Model
Authors: Yao Jun , Zhou Chengli , Wang Wenquan , Li Yangyang , Du Ting , Shi Lei
Published: December 2024

Danaus genutia, commonly known as the tiger butterfly, is a visually appealing species in the Danaidae family. As it is not currently classified as endangered, it is excluded from key protected species lists at national and local levels, limiting focus on its population and habitat status, which may result in it being overlooked in local butterfly conservation initiatives. Yunnan, characterized by high butterfly diversity, presents an ideal region for studying habitat suitability for D. genutia, which may support the conservation of regional biodiversity. This study employs the MaxEnt ecological niche model, predictions regarding suitable habitat distribution, and trends for D. genutia and identifying primary environmental factors influencing their distribution. The results indicate that the niche model that includes interspecies relationships provides a distribution prediction closely aligned with the observed range of D. genutia. Under current climatic conditions, highly suitable habitats for both D. genutia and its host plant, Cynanchun annularium, are located predominantly in the Yuanjiang River Valley. Optimal conditions occur at average annual temperatures of 19.80–22 °C for D. genutia and 22–24 °C for C. annularium. The distribution range of C. annularium is a vital biological factor limiting D. genutia’s habitat. By 2040, projections under four future climate scenarios indicate a potential increase in the total area of suitable habitats for D. genutia, with a general trend of northward expansion.
Cerebrospinal Fluid Cytology in Lyme Neuroborreliosis Revisited—Role of Neutrophilic Granulocytes: A Retrospective Single-Center Study
Authors: Otto Ferdinand , Wipfler Peter , Hitzl Wolfgang , Preisel Martin , Harrer Andrea , Pilz Georg
Published: December 2024

Background/Objectives: diagnosis of Lyme neuroborreliosis (LNB) relies on medical history, clinical findings, and detection of pathogen-specific antibodies in the blood and cerebrospinal fluid (CSF). The chemoattractant CXCL13 serves as an additional marker for LNB acuity. During the diagnostic workup, cytomorphological examination of immune cells in CSF provides early insights. Lympho-monocytic pleocytosis with plasma cells and activated lymphocytes is usually described as a typical feature of LNB. In contrast we frequently observe a cytological cell picture featuring neutrophilic granulocytes as well as activated mononuclear cells and plasma cells in patients with LNB, which we refer to as a mixed cell picture. We, hence, investigated the presence of granulocytes to determine their role as typical findings associated with LNB. Methods: we conducted a retrospective analysis of CSF cytology in patients diagnosed with definite LNB at the Department of Neurology, Christian Doppler Medical Centre, Salzburg between 2015 and 2021. CSF results of patients with more than 10 erythrocytes/µL were excluded to avoid the presence of granulocytes due to artificial blood contamination. Additionally, CXCL13 levels were recorded, where available. Results: a total of 75 patients (42 female; 56%) met the diagnostic criteria of definite LNB. Cytology revealed the presence of granulocytes in the CSF of 91% of the patients (68/75). CXCL13 elevation was found to be significantly associated with the presence of granulocytes in CSF (p = 0.0025, or 1.009 (95% CI: 1.003–1.016). Conclusions: we confirm a mixed cell picture with granulocytes, activated mononuclear cells and plasma cells being a typical finding in the CSF cytology of LNB. The association between granulocytes and elevated CXCL13 suggests that their presence is a specific feature of the acute, untreated phase of LNB.
The Evolution of Implant-Based Breast Reconstruction: Innovations, Trends, and Future Directions
Authors: Amro Chris , Sorenson Thomas J. , Boyd Carter J. , Hemal Kshipra , Vernice Nicholas A. , Park Jenn J. , Cohen Oriana D. , Choi Mihye , Karp Nolan S.
Published: December 2024

Background/Objectives: Implant-based breast reconstruction has been essential since the 1960s, offering a faster and less invasive alternative to autologous reconstruction. Recent innovations—including direct-to-implant (DTI) reconstruction, advancements in surgical planes, synthetic meshes, and nipple-areolar complex (NAC) neurotization—have improved patient outcomes. This review explores these developments, analyzing their impact on breast reconstruction over the past two decades. Methods: A comprehensive literature review was conducted using PubMed, Google Scholar, and Cochrane Library databases, focusing on peer-reviewed studies published up to 2024. Articles were selected based on relevance, quality, and documentation of clinical outcomes and patient satisfaction. Results: Findings indicate that DTI reconstruction reduces the need for multiple surgeries, especially in cases with sufficient mastectomy flap quality. Prepectoral placement showed benefits in postoperative comfort and recovery speed compared to subpectoral placement, but had specific risks, such as implant rippling. Synthetic meshes improved implant support and reduced complication rates, while neurotization has shown potential in restoring sensation to the nipple-areolar complex (NAC), addressing quality-of-life concerns. Conclusions: Innovations like DTI, prepectoral techniques, and adjunctive mesh and neurotization strategies are advancing patient outcomes. Future research should refine these methods, aiming to expand applicability and further improve aesthetic and sensory outcomes for breast cancer survivors.
Advanced Management of Hearing Loss: A Comprehensive Review of the Special Issue
Authors: Li Shuna , Lu Ling , Yang Jun , Duan Maoli
Published: December 2024

Hearing loss, affecting over 466 million people worldwide, poses significant challenges for affected individuals, their families, and healthcare providers alike [...]