bluuebunny/crossref_metadata_2025 huggingface dataset:
Quality of Life and Stress-Related Psychological Distress Among Patients with Cervical Cancer: A Cross-Sectional Analysis
Authors: Betea Razvan , Dima Mirabela , Chiriac Veronica Daniela
Published: February 2025

Background and Objectives: Cervical cancer places substantial burdens on physical and psychosocial health. This study evaluated changes in quality of life (QoL) and perceived stress in patients with cervical cancer before and six months after initiating standard treatment. Four validated instruments were used: the 36-Item Short Form Survey (SF-36), the Perceived Stress Scale (PSS), the World Health Organization Quality of Life-BREF (WHOQOL-BREF), and the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire (EORTC QLQ-C30). Methods: Ninety-six women (mean age: 48.3 ± 7.4 years) with histologically confirmed cervical cancer were enrolled. Baseline (pre-treatment) assessments included SF-36, PSS, WHOQOL-BREF, and EORTC QLQ-C30. Follow-up was conducted six months after initiating either surgery or chemoradiation. Paired t-tests (or Wilcoxon signed-rank for non-parametric data) compared baseline and follow-up scores. Subgroup analyses were performed by disease stage (early vs. advanced) and marital status (married vs. unmarried). Results: Post-treatment assessments showed significant improvements in SF-36 physical functioning (from 61.9 ± 11.6 to 66.7 ± 12.3, p = 0.015) and mental health (from 63.4 ± 12.2 to 68.1 ± 12.4, p = 0.022). PSS scores declined from 23.2 ± 5.7 to 20.6 ± 5.5 (p = 0.001). WHOQOL-BREF physical and psychological domains increased, with physical health rising from 56.4 ± 12.0 to 60.7 ± 12.5 (p = 0.032). EORTC QLQ-C30 global health improved from 61.4 ± 13.8 to 66.3 ± 14.2 (p = 0.014). Advanced-stage patients exhibited greater absolute QoL gains yet remained below the early-stage scores. Married patients reported sharper reductions in PSS and higher final QoL scores. Conclusions: Over six months of standard cervical cancer treatment, these patients demonstrated significant QoL improvements and reduced perceived stress. While advanced-stage disease remained associated with lower post-treatment scores, these individuals benefited from notable gains compared to baseline. Marital status emerged as a protective factor. Ongoing psychosocial support may amplify these beneficial effects, warranting further longitudinal studies to optimize integrative survivorship care.
Privacy-Preserving Dynamic Spatial Keyword Query Scheme with Multi-Attribute Cost Constraints in Cloud–Edge Collaboration
Authors: Chen Zhenya , Deng Yushen , Yang Ming , Wu Xiaoming , Wang Xin , Wei Peng
Published: February 2025

The rapid advancement of the Internet of Things (IoT) and mobile devices has made location-based services (LBSs) increasingly prevalent, significantly improving daily convenience and work efficiency. However, this widespread usage has raised growing concerns about privacy and security, particularly during data outsourcing to cloud servers, where users’ location information and related data are susceptible to breaches by malicious actors or attackers. Traditional privacy-preserving spatial keyword schemes often employ Bloom filters for data encoding and storage. While Bloom filters offer high lookup speeds, they suffer from limitations such as a relatively high false positive rate in certain scenarios and poor space efficiency. These issues can adversely affect query accuracy and overall user experience. Furthermore, existing schemes have not sufficiently addressed the multi-attribute characteristics of spatial textual data. At the same time, relying solely on cloud servers for large-scale data processing introduces additional challenges, including heavy computational overhead, high latency, and substantial communication costs. To address these challenges, we propose a cloud–edge collaborative privacy-preserving dynamic spatial keyword query scheme with multi-attribute cost constraints. This scheme introduces a novel index structure that leverages security-enhanced Xor filter technology and Geohash techniques. This index structure not only strengthens query security and efficiency but also significantly reduces the false positive rate, thereby improving query accuracy. Moreover, the proposed scheme supports multi-attribute cost constraints and dynamic data updates, allowing it to adapt flexibly to practical requirements and user-specific needs. Finally, through security analysis and experimental evaluation, we demonstrate that the proposed scheme is both secure and effective.
Design of a Low-Noise Subthreshold CMOS Inverter-Based Amplifier with Resistive Feedback
Authors: Schmucker Landon , Zarkesh-Ha Payman , Emmert Luke , Rudolph Wolfgang , Gruzdev Vitaly
Published: February 2025

The recent trend in analog design to replace typical analog circuits with digital implementations has led to the use of resistive feedback to pull a CMOS inverter into the switching threshold region to achieve gain, which is ideal for analog operations. Here, we report a three-transistor (3T) CMOS resistive-feedback inverter-based amplifier capable of achieving high gain paralleled with reduced noise, low power consumption, and enhanced stability. Unlike conventional resistive-feedback inverter-based amplifiers, the transistors are operated in the subthreshold region, which allows for a lower supply voltage and current, leading to lower power consumption. Subthreshold conduction also reduces typical amplifier noise sources. This design provides a novel approach to resistive feedback in the inverter amplifier, allowing for a large gain while occupying minimal layout area. The reported amplifier design facilitates unique capabilities, e.g., detection of ultra-low (fC) charges or sub-pA currents for newly emerging PHz electronic and optoelectronic devices driven by few-cycle laser pulses. As proof of concept, the specifications of the proposed amplifier are successfully measured and verified by multiple test chips designed and fabricated in TSMC’s 180 nm CMOS process. The fabricated amplifier operates at a 1.35 V power supply with a measured voltage gain of 53.61 dB (or 480 V/V), a bandwidth of 94 kHz, and an equivalent input voltage noise of 6.4 nV/Hz, consuming only 13.5 µW.
Nanofluids as Coolants to Improve the Thermal Management System of a High-Power Aircraft Electric Motor
Authors: Di Lorenzo Giuseppe , Romano Diego Giuseppe , Carozza Antonio , Pagano Antonio
Published: February 2025

Electrification has become increasingly common in aerospace due to climate change concerns. After successful applications in general aviation aircraft, electrification is now addressing subregional (up to 19 passengers) and regional aircraft (around 80 passengers). Megawatt-class electric motors are needed both to drive propellers and to act as high-power generators in hybrid–electric propulsion systems. Power levels for this class of aircraft require a proper design of heat management systems capable of dissipating a much higher quantity of heat than that dissipated by traditional cooling systems. The technical solution here explored is based on the addition into a diathermic base liquid of nanoparticles, which can increase (by up to 30%) the thermal conductivity of the refrigerant, also providing large surface area enhancing the heat transfer capacity of base liquids. The Italian Aerospace Research Centre (CIRA), as part of the European research initiative Optimised Electric Network Architectures and Systems for More-Electric Aircraft (ORCHESTRA), developed a thermal management system (TMS) based on impinging jets technology for a 1 MW electric motor. In this work, a numerical verification of the possibility for nanofluids to improve the heat exchange efficiency of a submerged oil impinging jets TMS designed to directly cool the inner components of a 1 MW motor is conducted. Investigations aimed to analyse two nanoparticle types (alumina and graphite) added to diathermic oil with concentrations between 1% and 5% by volume. The application of nanofluids significantly increases final thermal conductivity with respect to conventional coolants, a 60% improvement in heat transfer at a fixed mass flow rate is achieved. Electric motor maximum temperatures are approximately 10% lower than those achieved with solely diathermic oil. This result is significant as a safety margin is needed in all cases where a sudden increase in power occurs.
Comparative Analysis of Levelized Cost of Heat in Implemented and Calculated Heat Supply Systems with Heat Pumps in Ukraine
Authors: Stanytsina Valentyna , Horskyi Vitalii , Danyliv Serhii , Zaporozhets Artur , Kovtun Svitlana , Maevsky Oleksandr , Garbuz Iurii , Artemchuk Volodymyr
Published: February 2025

The adoption of heat pumps in Ukraine is increasing, yet precise data on their economic viability are limited. This study compares the Levelized Cost of Heat (LCOH) in implemented and calculated heat pump systems under Ukrainian conditions. Analyzing real installations and theoretical projects, we assess ground-source and air-source heat pumps, focusing on technical indicators like the Seasonal Coefficient of Performance (SCOP) and economic factors such as the investment costs and discount rates. The findings reveal that promotional materials often underestimate the costs, leading to significant discrepancies in the LCOH. Implemented ground-source heat pump projects have investment costs constituting 20–40% of the LCOH, while for air-source heat pumps, this is 60–65%. The discount rate significantly impacts the LCOH, more than electricity costs. Air-source heat pumps in large buildings offer the lowest LCOH, whereas ground-source heat pumps in small houses have a higher LCOH due to the substantial capital investments. This study concludes that while heat pump systems can enhance energy efficiency and reduce environmental impacts in Ukraine, their economic competitiveness hinges on accurate cost assessments and favorable economic conditions.
Valorization of Forest Biomass Through Pyrolysis: A Study on the Energy Potential of Wood Tars
Authors: Brózdowski Jakub , Witczak Magdalena , Sikorska Klaudia , Ratajczak Izabela , Woźniak Magdalena , Bartkowiak Monika , Cofta Grzegorz , Dąbrowska Grażyna B. , Zborowska Magdalena
Published: February 2025

Forest biomass is a renewable source of environmentally friendly material—wood. However, wood processing generates large amounts of by-products, including branches. These byproducts are often used as firewood; however, they can be used much more effectively. In this study, the pyrolysis of two woods, namely birch and pine, was proposed. The liquid products of pyrolysis were studied by FTIR spectroscopy, and the heating value of these products was evaluated. In order to find the optimal pyrolysis temperature from the point of view of the calorific value of the product, the process was carried out at four temperatures: 450, 500, 550, and 600 °C. The liquid product yielded three fractions, from which two were analyzed, namely the dense tar fraction and light liquid fraction. FTIR analysis results clearly demonstrated that samples from different fractions differ from one another, yet the results within the same fraction are remarkably similar. The tar fraction was characterized with a higher gross calorific value between 42 to 50 MJ/kg, while the liquid fraction gross calorific value was between 29 and 39 MJ/kg; in general, pine wood yielded products with higher calorific values. The pyrolysis of small wood industry by-products is an interesting method of utilization, yielding not only a liquid product with good calorific properties, but also a solid product, namely biochar, which may be used in carbon storage or used as a soil amendment.
Potential Use of Pyrolysis Char from Waste Polymers as a Reductant for Direct Reduction of Mill Scale
Authors: Kim Yong-Woo , Kim Sun-Joong
Published: February 2025

Waste polymers composed of carbonaceous compounds can be converted into gases and oils by pyrolysis. Although pyrolysis char is generated continuously in the pyrolysis process, its high ash content limits its industrial application. In the present study, the use of pyrolysis char with a high ash content as a reductant for the reduction reaction of mill scale was investigated. The mill scale reduction behaviors were investigated by modifying the mixing ratio of oxygen in the mill scale and fixed carbon in the pyrolysis char at temperatures ranging from 1723 to 1873 K. The degree of reduction of molten iron oxide in the mill scale was obtained by measuring the amounts of CO and CO2 gases generated during the reduction reaction in an Ar gas atmosphere. The degree of reduction increased with temperature and mixing ratio of the mill scale and pyrolysis char. In this study, the maximum degrees of reduction of mill scale at 1873 K were 0.32 and 0.65 for C/O ratios of 0.77 and 1.33, respectively. Based on a comparison of the rate constants for the overall mill scale reduction reaction with the previous rate constants, the rate-determining step in the present study was assumed to be the insufficient agitation effects owing to the limited gas evolution of CO and CO2 caused by the low gases released during reduction resulting from the low initial carbon concentration. In addition, the potential use of pyrolysis char produced from the pyrolysis of waste materials composed of carbon compounds as an alternative carbon source was investigated.
A Comparative Analysis of Machine Learning Algorithms in Energy Poverty Prediction
Authors: Kalfountzou Elpida , Papada Lefkothea , Tourkolias Christos , Mirasgedis Sevastianos , Kaliampakos Dimitris , Damigos Dimitris
Published: February 2025

Given the limited potential of conventional statistical models, machine learning (ML) techniques in the field of energy poverty have attracted growing interest, especially during the last five years. The present paper adds new insights to the existing literature by exploring the capacity of ML algorithms to successfully predict energy poverty, as defined by different indicators, for the case of the “Urban Region of Athens” in Greece. More specifically, five energy poverty indicators were predicted on the basis of socio-economic/technical variables through training different machine learning classifiers. The analysis showed that almost all classifiers managed to successfully predict three out of five energy poverty indicators with a remarkably good level of accuracy, i.e., 81–94% correct predictions of energy-poor households for the best models and an overall accuracy rate of over 94%. The most successful classifier in terms of energy poverty prediction proved to be the “Random Forest” classifier, closely followed by “Trees J48” and “Multilayer Perceptron” classifiers (decision tree and neural network approaches). The impressively high accuracy scores of the models confirmed that ML is a promising tool towards understanding energy poverty drivers and shaping appropriate energy policies.
Pathways to Positive Energy Districts: A Comprehensive Techno-Economic and Environmental Analysis Using Multi-Objective Optimization
Authors: Wang Guangxuan , Gilmont Olivier , Blondeau Julien
Published: February 2025

Transitioning to Positive Energy Districts (PEDs) is essential for achieving carbon neutrality in urban areas by 2050. This study presents a multi-objective optimization framework that balances energy, environmental, and economic performance, addressing the diverse priorities of multiple stakeholders. The framework enhances PED design by systematically evaluating technical solutions, including renewable-based electrification, demand-side management (DSM), energy storage, and retrofitting. The framework is applied to the Usquare district in Brussels, Belgium, as a case study. The results indicate that expanding photovoltaic (PV) capacity is crucial for achieving PED targets, with renewable-based electrification potentially reducing carbon emissions by up to 79%. The incorporation of demand-side management (DSM) and battery storage improves system flexibility, reduces grid dependency, and enhances cost-effectiveness. Although slightly more costly, retrofitting existing buildings provides the most balanced approach, offering the lowest CO2 emissions and the highest self-consumption ratio. This study presents a comprehensive decision-making support framework for optimizing PED design and operation, offering practical guidance for urban energy planning and contributing to global efforts toward carbon neutrality.
Blue Ammonia and the Supply Chain Pioneering Sustainability Assessment for a Greener Future
Authors: Al-Yafei Hussein , Aseel Saleh , Alnouss Ahmed , Al-Kuwari Ahmad , Abdussamie Nagi , Al Tamimi Talal , Al Mannaei Hamad , Ibrahim Heba , Abu Hashim Noor , Al Delayel Bader , Nasr Hagar
Published: February 2025

With the global shift to sustainability, the energy sector faces pressure to adopt low-carbon solutions. Blue ammonia (BA), derived from natural gas (NG) with carbon capture, presents significant opportunities but requires a holistic sustainability assessment. This study conducts a novel life cycle sustainability assessment (LCSA) of BA, evaluating environmental, economic, and social impact performance from feedstock processing to maritime transport for a 1.2 MMTPA production capacity. Process simulations in Aspen HYSYS V12 and the ammonia maritime transport operations’ sustainability assessment model provide critical insights. The ammonia converter unit contributes the highest emissions (17.9 million tons CO2-eq), energy use (963.2 TJ), and operational costs (USD 189.2 million). CO2 removal has the most considerable land use (141.7 km2), and purification records the highest water withdrawal (14.8 million m3). Carbon capture eliminates 6.5 million tons of CO2 annually. Economically, ammonia shipping dominates gross surplus (USD 653.9 million, 72%) and tax revenue (USD 65.3 million) despite employing just 43 workers. Socially, the ammonia converter unit has the highest human health impact (16,621 DALY, 54%). Sensitivity analysis reveals transport distance (46.5% CO2 emissions) and LNG fuel prices (63.8% costs) as key uncertainties. Findings underscore the need for optimized logistics and alternative fuels to enhance BA sustainability.
Forest Canopy Image Segmentation Based on the Parametric Evolutionary Barnacle Optimization Algorithm
Authors: Zhao Xiaohan , Zhu Liangkuan , Xu Wanzhou , Mohamed Alaa M. E.
Published: February 2025

Forest canopy image is a necessary technical means to obtain canopy parameters, whereas image segmentation is an essential factor that affects the accurate extraction of canopy parameters. To address the limitations of forest canopy image mis-segmentation due to its complex structure, this study proposes a forest canopy image segmentation method based on the parameter evolutionary barnacle optimization algorithm (PEBMO). The PEBMO algorithm utilizes an extensive range of nonlinear incremental penis coefficients better to balance the exploration and exploitation process of the algorithm, dynamically decreasing reproduction coefficients instead of the Hardy-Weinberg law coefficients to improve the exploitation ability; the parent generation of barnacle particles (pl = 0.5) is subjected to the Chebyshev chaotic perturbation to avoid the algorithm from falling into premature maturity. Four types of canopy images were used as segmentation objects. Kapur entropy is the fitness function, and the PEBMO algorithm selects the optimal value threshold. The segmentation performance of each algorithm is comprehensively evaluated by the fitness value, standard deviation, structural similarity index value, peak signal-to-noise ratio value, and feature similarity index value. The PEBMO algorithm outperforms the comparison algorithm by 91.67%,55.56%,62.5%,69.44%, and 63.89% for each evaluation metric, respectively. The experimental results show that the PEBMO algorithm can effectively improve the segmentation accuracy and quality of forest canopy images.
Assessment of Oak Roundwood Quality Using Photogrammetry and Acoustic Surveys
Authors: Nocetti Michela , Aminti Giovanni , Vicario Margherita , Brunetti Michele
Published: February 2025

Hardwood has a variety of applications and can be used for low-value products, such as firewood, or for high-value applications, achieving significantly higher prices. Therefore, assessing the quality of raw material is essential for allocating the wood to the most suitable end use. The aim of this study was to explore the use of the photogrammetry technique to determine dimensional characteristics and perform remote visual grading of round oak timber stored at a log yard. The results of the visual classification were then compared with non-destructive acoustic measurements to assess their level of agreement. Based on the point cloud obtained from photogrammetry, logs were classified into three quality groups according to the European standard for round timber grading. The diameter measurements of the logs obtained through the photogrammetry survey were comparable to those taken manually, with an average difference of 0.46 cm and a mean absolute error of 2.1 cm compared to field measurements. However, the log lengths measured from the 3D survey were, on average, 5 cm shorter than those obtained using a measuring tape. The visual classification performed on the 3D reconstruction was based on the evaluation of log size, knots, buckles, and sweep, resulting in 39%, 27%, and 24% of the pieces being grouped into the high-, medium-, and low-quality classes, respectively. Acoustic measurements, performed using both resonance and time-of-flight (ToF) methods, were highly correlated with each other and successfully distinguished the three quality classes only when sweep was excluded from the classification criteria. When curvature was also considered as a parameter for log grading, acoustic velocity only differentiated the lowest quality class from the other two.
Recent Advances in Flame-Retardant Flexible Polyurethane Foams
Authors: Chen Min , Yuan Yao , Wang Wei , Xu Lulu
Published: February 2025

Flexible polyurethane foam (FPUF) is extensively applied in multiple applications, including automotive, construction, furniture cushioning, and transportation seating, due to its outstanding mechanical properties, sound absorption, breathable characteristics, and versatility. However, FPUF is highly flammable and releases significant quantities of smoke and harmful gases when burned, which presents considerable safety hazards and has led to extensive research into flame retardant solutions. This review covers the development of both conventional and bio-based flame-retardant agents, including reactive-type and additive-type FRs, and surface coating methods, with a focus on their preparation, characterization methods, and underlying flame retardant mechanisms. Additionally, innovative flame retardant technologies, particularly surface coatings, are discussed in terms of their impact on thermal stability, mechanical performance, and smoke toxicity reduction in the resulting FPUFs. The review also highlights future research priorities and significant challenges, including environmental concerns, cost-effectiveness, and durability. Future research will need to focus on improving flame retardant efficiency while also considering the environmental impact and recyclability of materials, aiming for the green and sustainable development of FPUFs.
Green Tea: Current Knowledge and Issues
Authors: Radeva-Ilieva Maya , Stoeva Stanila , Hvarchanova Nadezhda , Georgiev Kaloyan D.
Published: February 2025

Green tea possesses antioxidant, anti-inflammatory, anticancer, and antimicrobial activities, reduces body weight, and slows down aging. These effects are primarily attributed to catechins contained in green tea leaves, particularly epigallocatechin-3-gallate. However, in humans, the realization of green tea’s beneficial effects is limited. In order to summarize and critically analyze the available scientific information about green tea’s health benefits and issues related to its use, we conducted an in-depth literature review in scientific databases. A number of in vitro studies reported that green tea catechins modulate various signaling pathways in cells, which is thought to underlie their beneficial effects. However, data on the effects of catechins in humans are scarce, which is partly due to their low stability and oral bioavailability. Furthermore, catechins may also participate in pharmacokinetic interactions when co-administered with certain drugs such as anticancer agents, drugs for cardiovascular diseases, immunosuppressors, etc. As a result, adverse drug reactions or therapy failure may occur. In conclusion, over the years, various approaches have been investigated to optimize catechin intake and to achieve beneficial effects in humans, but to date, the use of catechins for prophylaxis or disease treatment remains limited. Therefore, future studies regarding the possibilities of catechins administration are needed.
The Optimization of Demulsification Using Composite Fatty Acids in Aqueous Enzymatic Extraction and the Changes of the Emulsion Stability During Demulsification
Authors: Shao Zhihua , Kong Xiangrui , Yang Hanxiang , Zhang Yiyang , Yang Chenxian , Chen Fusheng , Wang Zikun , Chen Jiaxun , Zhu Tingwei , Xin Ying , Chen Yu
Published: February 2025

Aqueous enzymatic extraction (AEE) can simultaneously separate oil and protein. However, a stable O/W emulsion is present in the AEE process, which is not favorable for extracting oils. This study optimized the use of heptanoic and octanoic acids for demulsification in aqueous enzymatic extraction. The optimal condition for demulsification, including a fatty acid ratio of 1:3 (heptanoic acid to octanoic acid) with 1.00% addition, a reaction time of 40 min, a temperature of 70 °C, and a solid-to-liquid ratio of 1:5, resulted in a demulsification rate of 97.95% ± 0.03%. After demulsification, the particle size of the peanut emulsion increased, while the absolute potential value and conductivity decreased. The type and content of proteins decreased, and the tertiary structure also changed, with tryptophan residues buried within the proteins, shifting the system from a polar to nonpolar environment. The microstructure of the emulsion changed and the emulsion transformed into W/O. To summarize, composite fatty acid had a significant effect on the demulsification of emulsion.
Authentication of EU-Authorized Edible Insect Species in Food Products by DNA Barcoding and High-Resolution Melting (HRM) Analysis
Authors: Wildbacher Michaela , Andronache Julia , Pühringer Katharina , Dobrovolny Stefanie , Hochegger Rupert , Cichna-Markl Margit
Published: February 2025

The consumption of edible insects is a promising approach to meet the increasing global demand for food. Commercialization of edible insects in the EU is regulated by the Novel Food regulation. To date, the yellow mealworm (Tenebrio molitor larva), the migratory locust (Locusta migratoria), the house cricket (Acheta domesticus), and the buffalo worm (Alphitobius diaperinus larva) have been authorized in the EU for human consumption. We aimed to develop a method based on DNA barcoding and high-resolution melting (HRM) analysis for the identification and differentiation of these four EU-authorized edible insect species in food. A primer pair previously designed for DNA metabarcoding, targeting a ~200 bp sequence of mitochondrial 16S rDNA, allowed discrimination between the four insect species in highly processed food. However, house cricket and migratory locust could not unambiguously be differentiated from tropical house cricket, desert locust, superworm, cowpea weevil, and sago worm, respectively. This problem could be solved by designing primers specific for house cricket and migratory locust. By combining these primers with the insect primers, additional polymerase chain reaction (PCR) products for house cricket and migratory locust were obtained, resulting in more complex melt curves compared to the unauthorized insect species. The optimized PCR-HRM assay is a very cost-efficient screening tool for authentication of EU-authorized edible insect species in food.
Can Plant-Based Cheese Substitutes Nutritionally and Sensorially Replace Cheese in Our Diet?
Authors: Majhenič Andreja Čanžek , Levart Alenka , Salobir Janez , Prevc Tina , Pajk Žontar Tanja
Published: February 2025

Plant-based substitutes for dairy products represent a rapidly developing market worldwide as they become increasingly popular with consumers. This study aimed to determine the nutritional and sensory quality of ten plant-based cheese substitutes labelled ‘classic’/‘original’ purchased on the Slovenian market. The quality was checked using chemical and sensory analysis. When the results of chemical analysis were compared with the nutritional composition of a semi-hard type of cheese, the plant-based cheese substitutes differed greatly. On average, they contained 60 times less protein, 8 times less calcium and 50% more salt per 100 g of product. Considering median values, plant-based substitutes had 200 times less protein, 40 times less calcium, and 58% more salt compared to cheeses. The fatty acid composition was less favourable when compared to a regular semi-hard type of cheese: 50% more saturated fatty acids, almost five times less monounsaturated fatty acids, and only one third of the polyunsaturated fatty acids per 100 g of product, respectively, but no trans fatty acids. Despite some sensory deficiencies (absence of eyes; crumbly, granular, and tough texture; discordant, fatty, and salty taste; foreign odour and pale colour), the sensory quality in this product category was acceptable overall. More research should be conducted in this area to minimise the knowledge gaps in the nutritional composition and sensory quality of plant-based cheese substitutes.
Getting Insights in Stakeholder Collaboration in the Transition Toward Safe and Sustainable Food Production: Net-Map Analysis of the Italian Wheat Supply Chain
Authors: Ciasca Biancamaria , Cito Nunzia M. , Lattanzio Veronica M. T.
Published: February 2025

The transition toward sustainable food systems is a critical challenge for the European Union (EU), requiring integrated policies and collaborative action. However, the complexity of food systems and the diverse interests of stakeholders often hinder effective progress. To apply a systemic approach and deliver context-specific solutions, it is necessary to establish key commodity/supply chain groups that include diverse perspectives from multiple stakeholders. Focusing on the Italian wheat supply chain, this research addresses the gap in understanding stakeholder relationships and their influence on the definition and implementation of sustainability measures. It introduces Net-Map analysis as a fit-for-purpose, multistakeholder, participatory approach to map and analyze these relationships, identifying key actors, power dynamics, and opportunities for fostering collaboration. Through a participatory workshop and in-depth interviews, the study gathered data providing insights into stakeholder roles and leverage points. The findings contribute to improved stakeholder involvement in decision-making processes, ultimately supporting the development of a more resilient and sustainable wheat supply chain in Italy.
Health-Related Quality of Life and Functional Status of Post-COVID-19 Patients
Authors: Oliveira Miriã C. , Alves Larissa R. , Soares Juliana M. P. , Souza Shayra K. A. , Silva Bruna M. R. , Fonseca Adriano L. , Silva Carlos H. M. , Oliveira Claudia S. , Vieira Rodolfo P. , Oliveira Deise A. A. P. , Oliveira-Silva Iransé , Oliveira Rodrigo F. , Sampaio Luciana M. M. , Maldaner Vinicius , Santos Dante B. , Palma Renata K. , Nacif Sergio R. , Insalaco Giuseppe , Oliveira Luís V. F.
Published: February 2025

Background: COVID-19 mainly affects the respiratory system, although its manifestations are multisystemic. We are increasingly recognizing complications that present after the acute phase, which are associated with impaired functional status and health-related quality of life (HRQoL). The objective was to assess the functional status and HRQoL of patients with post-COVID-19. Methods: This was a cross-sectional study involving individuals affected by COVID-19 who had persistent symptoms for one month after the acute phase of the disease. Functional status was measured with the six-minute walk test (6MWT), the Fatigue Severity Scale (FSS), the Medical Research Council (MRC) Dyspnea Scale, and the Post-COVID-19 Functional Status Scale (PCFS). HRQoL was confirmed with the Short-Form Health Survey 36 (SF-36). Results: We included 123 patients; 73 (59.35%) were male, with a mean age of 49.17 ± 13.48 years and a body mass index of 31.02 ± 6.56 stratified into three groups: the not-recovered group (NRG = 23), the ward-recovered group (WHG = 60), and the intensive-care-unit group (ICUG = 40). The main symptoms were muscle weakness (74.17%) and dyspnea (68.33%). The predicted distances for the 6MWT were missed by 12.83% by the GNR group, 20.21% by the GNR group, and 28.82% by the UGCI group. The MRC dyspnea scale had a mean value of less than 3, and the FSS scale had a mean value of over 4, indicating considerable fatigue. In the PCFS scale, a significant difference was observed (p < 0.0005), while in the SF-36, all HRQoL domains were compromised. Conclusion: Post-COVID-19 patients involved in this study showed a significant decline in functional status and an impairment of HRQoL.
Characterization of Leptin and Leptin Receptor Gene in the Siberian Sturgeon (Acipenser baerii): Molecular Cloning, Tissue Distribution, and Its Involvement in Feeding Regulation
Authors: Wu Hongwei , Li Jiamei , Jiang Kezhen , Li Yingzi , Yu Zhaoxiong , Wang Bin , Zhou Bo , Zhang Xin , Tang Ni , Li Zhiqiong
Published: February 2025

Leptin is an adipokine known as a regulator of feeding and metabolism in mammals. Previous studies on fish have revealed its role in food intake regulation in limited teleosts. However, its specific function in Siberian sturgeon, an ancient Chondrostei fish, remains poorly understood. This study represents the first successful cloning of sequences for leptin and leptin receptors in Siberian sturgeon, achieved using RT-PCR. The predicted leptin sequence in this species consists of 168 amino acids that exhibit low identity with other fish species, except within the Acipenseriformes order. Tissue distribution analysis revealed a high expression of Siberian sturgeon leptin mRNA in the liver and lepr mRNA in the hypothalamus. Fasting differentially affected the expression of leptin and lepr mRNA, with decreased levels in the hypothalamus and increased levels in the liver (leptin: 3–15 days; lepr: 6–15 days). Recombinant Siberian sturgeon leptin (Ssleptin) was produced via E. coli expression, and intraperitoneal injection (100 ng/g BW) significantly inhibited food intake. The anorectic effect was correlated with changes in hypothalamic gene expression, including downregulation of orexigenic factors (agrp, orexin, npy, and ghrelin) and upregulation of anorexigenic factors (pomc, mch, and insulin). Meanwhile, the peripheral administration of Ssleptin promoted the expression of resistin in the liver and concurrently increased cck and pyy mRNA levels in the valvular intestine. Furthermore, Ssleptin injection stimulated the expression of hypothalamic lepr, jak2, akt, and ampkα2 mRNA. These findings suggest that leptin plays a significant role in the feeding control of Siberian sturgeon and provide new insights into the evolutionary function of leptin in fish.
Can We Modulate Our Second Brain and Its Metabolites to Change Our Mood? A Systematic Review on Efficacy, Mechanisms, and Future Directions of “Psychobiotics”
Authors: Garzone Stefania , Charitos Ioannis Alexandros , Mandorino Manuela , Maggiore Maria Elena , Capozzi Loredana , Cakani Bujar , Dias Lopes Gabriel César , Bocchio-Chiavetto Luisella , Colella Marica
Published: February 2025

Psychobiotics, live microorganisms that provide mental health by interacting with the gut microbiota, are emerging as a promising therapeutic option for psychiatric and neurodevelopmental disorders. Their effectiveness in addressing conditions such as depression, anxiety, insomnia, stress, autism spectrum disorder (ASD), and eating disorders were examined through a comprehensive analysis of existing studies up to the first half of 2024, based on data from reliable electronic databases. We found that psychobiotics can significantly reduce symptoms of various psychiatric disorders by influencing neurotransmitter levels, regulating the hypothalamic-pituitary-adrenal (HPA) axis, and improving gut barrier function through short-chain fatty acids (SCFAs) and other metabolites. However, several limitations were identified, including inconsistent study methodologies, small sample sizes, and a lack of data on long-term safety. Addressing these limitations through rigorous research is essential for establishing standardized protocols and fully confirming the therapeutic potential of psychobiotics. In conclusion, psychobiotics show great promise as complementary treatments for mental health conditions, but continued research is necessary to refine their application and integrate them into clinical practice effectively.
The Therapeutic Potential of Gut-Microbiota-Derived Metabolite 4-Phenylbutyric Acid in Escherichia coli-Induced Colitis
Authors: Wang Kui , Hu Yuan , Wu Yu , Xu Jie , Zhao Yiyi , Yang Jing , Li Xiaobing
Published: February 2025

Pathogenic Escherichia coli (E. coli) is a widely distributed pathogen that can cause varying degrees of zoonotic diseases, and infected animals often experience intestinal inflammation accompanied by diarrhea and dysbiosis. Previously, for the first time, we isolated Escherichia coli primarily of type B2 from a large-scale dairy farm in Yunnan, China. The 16s rRNA sequencing showed significant differences in the gut microbiota of calves infected with B2 E. coli, with higher abundance of harmful bacteria and lower abundance of beneficial bacteria compared with healthy calves. The metabolomics indicated that the concentrations of oxoadipic acid, 16-oxopalmitate, oerillyl alcohol, palmitoleic acid, and 4-phenylbutyrate (4-PBA) were significantly higher in the healthy group than in the infected group. The mouse model was established to assess the regulatory effect of 4-PBA on E. coli-induced colitis. Both oral administration of 4-PBA and fecal microbiota transplantation (FMT) had strong resistance to E. coli infection, improved survival rate and body weight, reduced intestinal tissue damage, decreased the levels of pro-inflammatory cytokines (TNF-α, IL-6, and IL-1β), and restrained TLR4/MyD88/NF-κB pathway. Our study demonstrated that 4-PBA could relieve E. coli-induced colitis by improving gut microbiota structure and inhibiting the expression of pro-inflammatory cytokines through the TLR4/MyD88/NF-κB pathway. The present finding reveals the therapeutic potential of the gut-microbiota-derived metabolite 4-PBA for the treatment of colitis caused by E. coli.
Deciphering Colorectal Cancer–Hepatocyte Interactions: A Multiomics Platform for Interrogation of Metabolic Crosstalk in the Liver–Tumor Microenvironment
Authors: Nelson Alisa B. , Reese Lyndsay E. , Rono Elizabeth , Queathem Eric D. , Qiu Yinjie , McCluskey Braedan M. , Crampton Alexandra , Conniff Eric , Cummins Katherine , Boytim Ella , Dansou Senali , Hwang Justin , Safo Sandra E. , Puchalska Patrycja , Wood David K. , Schwertfeger Kathryn L. , Crawford Peter A.
Published: February 2025

Metabolic reprogramming is a hallmark of cancer, enabling tumor cells to adapt to and exploit their microenvironment for sustained growth. The liver is a common site of metastasis, but the interactions between tumor cells and hepatocytes remain poorly understood. In the context of liver metastasis, these interactions play a crucial role in promoting tumor survival and progression. This study leverages multiomics coverage of the microenvironment via liquid chromatography and high-resolution, high-mass-accuracy mass spectrometry-based untargeted metabolomics, 13C-stable isotope tracing, and RNA sequencing to uncover the metabolic impact of co-localized primary hepatocytes and a colon adenocarcinoma cell line, SW480, using a 2D co-culture model. Metabolic profiling revealed disrupted Warburg metabolism with an 80% decrease in glucose consumption and 94% decrease in lactate production by hepatocyte–SW480 co-cultures relative to SW480 control cultures. Decreased glucose consumption was coupled with alterations in glutamine and ketone body metabolism, suggesting a possible fuel switch upon co-culturing. Further, integrated multiomics analysis indicates that disruptions in metabolic pathways, including nucleoside biosynthesis, amino acids, and TCA cycle, correlate with altered SW480 transcriptional profiles and highlight the importance of redox homeostasis in tumor adaptation. Finally, these findings were replicated in three-dimensional microtissue organoids. Taken together, these studies support a bioinformatic approach to study metabolic crosstalk and discovery of potential therapeutic targets in preclinical models of the tumor microenvironment.
The Novel H10N3 Avian Influenza Virus Triggers Lethal Cytokine Storm by Activating Multiple Forms of Programmed Cell Death in Mammalian Lungs
Authors: Wang Xin , Wang Xiyue , Hao Xiaojuan , Gao Ruyi , Lu Xiaolong , Yang Wenhao , Chen Yu , Hu Jiao , Gu Min , Liu Xiaowen , Hu Shunlin , Liu Kaituo , Wang Xiaoquan , Liu Xiufan
Published: February 2025

The novel H10N3 avian influenza virus (AIV) has infected four individuals since 2021 and caused severe respiratory damage, posing a significant threat to public health. However, its pathogenic mechanisms remain poorly understood. Our findings revealed that H10N3 infection induces severe lung damage and causes death in mice, even at low doses. The elevated levels of multiple pro-inflammatory factors in the bronchoalveolar lavage fluid were significantly increased during infection, displaying hallmarks of a cytokine storm. Transcriptome sequencing further revealed systematic activation of inflammation-related pathways, predicting that viral infection induces multiple forms of programmed cell death, including apoptosis, pyroptosis, and necroptosis. Protein-level validation showed that the activation of key cell death markers, including Caspase-3, GSDMD, and MLKL, significantly increased as the infection progressed, with their dynamic changes correlating strongly with the expression pattern of viral proteins. This study elucidates the central role of the synergistic effect between the cytokine storm and multiple cell death pathways in H10N3 pathogenesis. These findings not only advance our understanding of the pathogenic mechanisms of AIVs but also provide a critical theoretical basis for the development of targeted therapeutic strategies.
Diagnostic Performance of Radiolabelled FAPI Versus [18F]FDG PET Imaging in Hepato-Pancreato-Biliary Oncology: A Systematic Review and Meta-Analysis
Authors: Henrar Rutger B. , Vuijk Floris A. , Burchell George L. , van Dieren Susan , de Geus-Oei Lioe-Fee , Kazemier Geert , Vahrmeijer Alexander L. , Oprea-Lager Daniela E. , Swijnenburg Rutger-Jan
Published: February 2025

Radiolabelled fibroblast activation protein inhibitor (FAPI) tracers have the potential to overcome the limitations of 2-deoxy-2-[18F]fluoro-D-glucose ([18F]FDG) and improve the diagnosis and staging of hepato-pancreato-biliary (HPB) cancers. This study aims to compare the diagnostic performance of radiolabelled FAPI versus [18F]FDG PET imaging in HPB cancers. A systematic search of PubMed, Embase, Web of Science and Cochrane Library was performed to identify eligible studies on the diagnostic performance of FAPI PET for primary HPB tumours (hepatocellular carcinoma (HCC), pancreatic cancer (PC) and biliary tract cancer (BTC)) and for liver metastases of gastrointestinal origin. The diagnostic performance was defined as a combination of detection rate and semi-quantitative tracer uptake. A random-effects model was used to calculate the risk differences. In total, 28 studies were included. Histopathology was the reference standard for the primary tumour in 26 studies (93%). The detection rate of radiolabelled FAPI in comparison to [18F]FDG was significantly higher in HCC (0.33, 95% CI: 0.20–0.47 and 0.34, 95% CI: 0.23–0.45) and BTC (0.27, 95% CI: 0.11–0.43 and 0.28, 95% CI: 0.08–0.48), in the patient- and lesion-based analyses, respectively. In PC, no differences were observed. Radiolabelled FAPI outperformed [18F]FDG in the lesion-based detection of lymph node, liver and extra-hepatic metastases. In all HPB cancers, the mean SUVmax was significantly higher with radiolabelled FAPI compared to [18F]FDG. Molecular imaging with FAPI PET seems to have several benefits over [18F]FDG PET in HPB cancer diagnostics, with an overall higher tracer uptake, and higher detection rates in HCC and BTC.
Structural Features of 5′ Untranslated Region in Translational Control of Eukaryotes
Authors: Razumova Elizaveta , Makariuk Aleksandr , Dontsova Olga , Shepelev Nikita , Rubtsova Maria
Published: February 2025

Gene expression is a complex process regulated at multiple levels in eukaryotic cells. Translation frequently represents a pivotal step in the control of gene expression. Among the stages of translation, initiation is particularly important, as it governs ribosome recruitment and the efficiency of protein synthesis. The 5′ untranslated region (5′ UTR) of mRNA plays a key role in this process, often exhibiting a complicated and structured landscape. Numerous eukaryotic mRNAs possess long 5′ UTRs that contain diverse regulatory elements, including RNA secondary structures, specific nucleotide motifs, and chemical modifications. These structural features can independently modulate translation through their intrinsic properties or by serving as platforms for trans-acting factors such as RNA-binding proteins. The dynamic nature of 5′ UTR elements allows cells to fine-tune translation in response to environmental and cellular signals. Understanding these mechanisms is not only fundamental to molecular biology but also holds significant biomedical potential. Insights into 5′ UTR-mediated regulation could drive advancements in synthetic biology and mRNA-based targeted therapies. This review outlines the current knowledge of the structural elements of the 5′ UTR, the interplay between them, and their combined functional impact on translation.