bluuebunny/crossref_metadata_2025 huggingface dataset:
Artificial Neural Networks as a Tool for High-Accuracy Prediction of In-Cylinder Pressure and Equivalent Flame Radius in Hydrogen-Fueled Internal Combustion Engines
Authors: Ricci Federico , Avana Massimiliano , Mariani Francesco
Published: January 2025

The automotive industry is under increasing pressure to develop cleaner and more efficient technologies in response to stringent emission regulations. Hydrogen-powered internal combustion engines represent a promising alternative, offering the potential to reduce carbon-based emissions while improving efficiency. However, the accurate estimation of in-cylinder pressure is crucial for optimizing the performance and emissions of these engines. While traditional simulation tools such as GT-POWER are widely utilized for these purposes, recent advancements in artificial intelligence provide new opportunities for achieving faster and more accurate predictions. This study presents a comparative evaluation of the predictive capabilities of GT-POWER and an artificial neural network model in estimating in-cylinder pressure, with a particular focus on improvements in computational efficiency. Additionally, the artificial neural network is employed to predict the equivalent flame radius, thereby obviating the need for repeated tests using dedicated high-speed cameras in optical access research engines, due to the resource-intensive nature of data acquisition and post-processing. Experiments were conducted on a single-cylinder research engine operating at low-speed and low-load conditions, across three distinct relative air–fuel ratio values with a range of ignition timing settings applied for each air excess coefficient. The findings demonstrate that the artificial neural network model surpasses GT-POWER in predicting in-cylinder pressure with higher accuracy, achieving an RMSE consistently below 0.44% across various conditions. In comparison, GT-POWER exhibits an RMSE ranging from 0.92% to 1.57%. Additionally, the neural network effectively estimates the equivalent flame radius, maintaining an RMSE of less than 3%, ranging from 2.21% to 2.90%. This underscores the potential of artificial neural network-based approaches to not only significantly reduce computational time but also enhance predictive precision. Furthermore, this methodology could subsequently be applied to conventional road engines exhibiting characteristics and performance similar to those of a specific optical engine used as the basis for the machine learning analysis, offering a practical advantage in real-time diagnostics.
Innovative Approaches of Optimization Methods Used in Geothermal Power Plants: Artificial Neural Networks and Genetic Algorithms
Authors: Özer Özgür , Öztürk Harun Kemal
Published: January 2025

In this study, a general description of geothermal power plants is provided, and the optimization methods used are summarized. Following the review of these optimization methods, the advantages of heuristic methods and the success of the developed models are demonstrated. The challenges in optimizing geothermal systems, including the limitations due to their complexity and the use of multiple parameters, are discussed. Heuristic methods, particularly the widely used artificial neural networks and genetic algorithms, are explained in general terms. Recent studies highlight that the combined use of artificial neural networks and genetic algorithms can produce faster and more consistent results. This demonstrates the benefits of using advanced methods for geothermal resource utilization and power plant optimization. An innovative optimization method has been developed using the operational data of an ORC geothermal power plant in the city of Izmir. The computational method, using genetic algorithms with artificial neural networks as the fitness function, has identified the optimal operating conditions, achieving a 39.41% increase in net power output. The plant’s gross power generation has increased from 4943 kW to 6624 kW.
DynPy—Python Library for Mechanical and Electrical Engineering: An Assessment with Coupled Electro-Mechanical Direct Current Motor Model
Authors: Sierociński Damian , Chiliński Bogumił , Gawiński Franciszek , Radomski Amadeusz , Przybyłowicz Piotr
Published: January 2025

DynPy is an open-source library implemented in Python (version 3.10.12) programming language which aims to provide a versatile set of functionalities for mechanical and electrical engineers. It enables the user to model, solve, simulate, and report analysis of dynamic systems with the use of a single environment. The DynPy library comes with a predefined collection of ready-to-use mechanical and electrical systems. A proprietary approach to creating new systems by combining independent elements defined as classes, such as masses, springs, dampers, resistors, capacitors, inductors, and more, allows for the quick creation of new, or the modification of existing systems. In the paper examples for obtaining analytical and numerical solutions of the systems described with ordinary differential equations were presented. The assessment of solver accuracy was conducted utilising a coupled electro-mechanical model of a direct current motor, with MATLAB/Simulink (R2022b) used as a reference tool. The model was solved in DynPy with the hybrid analytical–numerical method and fully analytically, while in MATLAB/Simulink strictly numerical simulations were run. The comparison of the results obtained from both tools not only proved the credibility of the developed library but also showed its superiority in specific conditions.
Seasonal Dynamics and Environmental Drivers of Phytoplankton in the Albufera Coastal Lagoon (Valencia, Spain)
Authors: Molner Juan Víctor , Mellinas-Coperias Isabel , Canós-López Clara , Pérez-González Rebeca , Sendra María D. , Soria Juan M.
Published: January 2025

The Albufera of Valencia is a hypereutrophic, oligohaline lagoon that has experienced significant changes in phytoplankton composition and state in recent decades due to human activities. These activities affect phytoplankton biomass and community structure, which are key indicators of ecosystem health. In this study, phytoplankton samples from the lagoon were analyzed to identify dominant groups and genera, and their seasonal cycles were determined using biovolume measurements with the Utermöhl method. Various environmental variables were also measured. Diversity was assessed using richness, equitability, and the Shannon–Wiener index. Canonical Correspondence Analysis (CCA) and Pearson correlation revealed that temperature and phosphorus significantly influence phytoplankton abundance. A species that exhibited seasonal abundance, resulting in a change in the lagoon’s color from green to brown, was identified. Water quality was assessed using the trophic state index, indicating that the lagoon is in poor condition and hyper-eutrophic. Cyanobacteria were the most dominant group, peaking in November, contrary to previous studies, followed by Chlorophyceae and Bacillariophyceae. Phytoplankton are vital bioindicators for assessing ecosystem health, underscoring the need for further research in this area.
Restoration of Coniferous Forest and Myodes gapperi: Responses to Thinning, Fertilization, and Succession over a 45-Year Period
Authors: Sullivan Thomas P. , Sullivan Druscilla S.
Published: January 2025

Research Highlights: We report a 45-year time-line of forest restoration after harvesting and responses of red-backed voles (Myodes gapperi), an indicator species of closed-canopy forests. Background and Objectives: We have a unique long-term window to test four hypotheses that evaluated the relationship of M. gapperi with old forest structural attributes. Materials and Methods: The study began in old-growth lodgepole pine (Pinus contorta var. latifolia) through clearcutting, regeneration, stand thinning, fertilization, and growth to mature forest (1979 to 2024) in southern BC, Canada. Populations of red-backed voles were monitored in all phases of forest restoration. Results: Clearcutting resulted in the extirpation of M. gapperi followed by small (≤2 voles/ha) populations in young (13–23 years) thinned and fertilized stands. At age 33, the mean annual abundance of M. gapperi (6.5 to 8.7/ha) was highest in the heavily thinned and old-growth stands. At age 43, mean numbers of M. gapperi ranged from 2.7 to 4.2/ha in these same stands. Heavily thinned stands had large trees, multi-layered canopies of conifers, and understory patchiness. Conclusions: This is the first report of long-term responses of M. gapperi to the restoration of mature forest. M. gapperi is a suitable species for monitoring the recovery of some old forest structural features.
First Report of Anthracnose Caused by Colletotrichum gloeosporioides on Lucky Bamboo in China
Authors: Qian Yulin , Wang Xueying , Zhai Xiaoying , Hu Xuehui , Li Tao , Li Yuyang , Xiong Qin
Published: January 2025

Lucky bamboo (Dracaena sanderiana hort. ex. Mast. = Dracaena braunii) is a popular decorative plant in China. In March 2022, a severe outbreak of anthracnose disease occurred on the stems of lucky bamboo plants in a nursery garden in Nanjing, Jiangsu Province, China. Thirty-two fungal isolates were obtained from the infected stem tissues and were morphologically identified as Colletotrichum species. A multilocus phylogenetic analysis based on the internal transcribed spacer (ITS) region, the actin (ACT) gene, and the glyceraldehyde-3-phosphate dehydrogenase (GAPDH) gene indicated the isolate FGZ-1 as Colletotrichum gloeosporioides (Penz.) Penz. and Sacc. The pathogenicity of isolate FGZ-1 was verified by inoculating mycelial plugs on stem segments and spraying spores on the whole one-year-old lucky bamboo plants. Koch’s postulates were fulfilled via the re-isolation of C. gloeosporioides from the diseased tissues. To the best of our knowledge, this is the first report of C. gloeosporioides causing anthracnose on lucky bamboo in China. The detection of C. gloeosporioides on lucky bamboo in China expands the range of Colletotrichum species that are associated with anthracnose in this popular ornamental plant. This study lays a solid foundation for future investigations into the pathogenic mechanisms of anthracnose on D. sanderiana and control strategies for this disease, such as biocontrol agents and the construction of resistant cultivars.
Assessing the Impacts of Selective Logging on the Forest Understory in the Amazon Using Airborne LiDAR
Authors: Ferreira Leilson , Bias Edilson de Souza , Barros Quétila Souza , Pádua Luís , Matricardi Eraldo Aparecido Trondoli , Sousa Joaquim J.
Published: January 2025

Reduced-impact logging (RIL) has been recognized as a promising strategy for biodiversity conservation and carbon sequestration within sustainable forest management (SFM) areas. However, monitoring the forest understory—a critical area for assessing logging impacts—remains challenging due to limitations in conventional methods such as field inventories and global navigation satellite system (GNSS) surveys, which are time-consuming, costly, and often lack accuracy in complex environments. Additionally, aerial and satellite imagery frequently underestimate the full extent of disturbances as the forest canopy obscures understory impacts. This study examines the effectiveness of the relative density model (RDM), derived from airborne LiDAR data, for mapping and monitoring understory disturbances. A field-based validation of LiDAR-derived RDM was conducted across 25 sites, totaling 5504.5 hectares within the Jamari National Forest, Rondônia, Brazil. The results indicate that the RDM accurately delineates disturbances caused by logging infrastructure, with over 90% agreement with GNSS field data. However, the model showed the greatest discrepancy for skid trails, which, despite their lower accuracy in modeling, accounted for the largest proportion of the total impacted area among infrastructure. The findings include the mapping of 35.1 km of primary roads, 117.4 km of secondary roads, 595.6 km of skid trails, and 323 log landings, with skid trails comprising the largest proportion of area occupied by logging infrastructure. It is recommended that airborne LiDAR assessments be conducted up to two years post-logging, as impacts become less detectable over time. This study highlights LiDAR data as a reliable alternative to traditional monitoring approaches, with the ability to detect understory impacts more comprehensively for monitoring selective logging in SFM areas of the Amazon, providing a valuable tool for both conservation and climate mitigation efforts.
The Influence of the Root Diameter of Cunninghamia lanceolata (Chinese Fir) on the Strength and Deformation Behavior of Sand
Authors: Xia Xin , Jiang Yuanjun , Hu Xiaobo , Zhu Yuanjia , Shah Ismail
Published: January 2025

This study used triaxial tests to examine the impact of the root diameter of Cunninghamia lanceolata (Chinese fir) on the mechanical behavior of sand, including stress–strain development, strength, volumetric strain, and failure envelope. It also revealed the reinforcement mechanisms of roots with different diameters based on root–soil interactions. The results showed the following: (1) The addition of roots significantly enhanced sand strength and reduced volumetric deformation. The average peak strength increased by 31.8%, while the average peak volumetric strain decreased by 34.3%. (2) Roots provided additional cohesion and increased the friction angle of the sand, causing the failure envelope to shift upward and deflect. (3) Smaller-diameter roots improved the mechanical properties of sand more significantly, leading to higher peak strength, shear strength parameters, and smaller volumetric deformation. As the root diameter increased from 1 mm to 5 mm, the peak strength ratio decreased from 1.78 to 1.13, and the peak volumetric strain increased from 0.48 to 0.79. (4) Smaller-diameter roots, which form denser networks, allowing more roots to resist loads, and have a higher elastic modulus providing greater tensile stress, also possess higher tensile strength and critical sliding tensile stress, making them less likely to fail, thereby making the mechanical reinforcement of sand more significant.
Exploring the Transmission Process of Carbon Sequestration Services and Its Applications: A Case Study of Hainan
Authors: Ren Bingnan , Xiao Yang , Liu Bin , Geng Jing , Wu Wenxiang , Qin Dajun
Published: January 2025

The pressing need to address climate change and advance global sustainable development has heightened the emphasis on ecosystem services, especially carbon sequestration. This research assesses the supply and demand dynamics of carbon sequestration services on Hainan Island, China, highlighting its significant contributions to global biodiversity conservation and carbon balance. The analysis considers the spatial distribution and interrelation of these services in light of recent land use and ecological policy changes. The methodology incorporates land use and land cover data, the Normalized Difference Vegetation Index (NDVI), meteorological data, and soil data. A gravity model is employed to elucidate the supply–demand relationship for carbon sequestration services, examining the flow across different regions and identifying spatial connections and their intensities. The results indicate a notable increase in carbon sequestration supply in Hainan from 2000 to 2020, particularly in the central mountainous areas. Conversely, the demand for these services has risen, especially in the northern plains’ urban areas and southern coastal towns. The gravity model reveals a strong spatial interdependence between the central mountainous supply zones and the high-demand urban locales. This study underscores the disparities in carbon sequestration supply and demand on Hainan, emphasizing the need for the strategic management of these elements. It provides critical data for ecological compensation policies and offers insights into the roles of regional ecosystems in climate change mitigation. The research highlights the necessity of incorporating ecosystem services into land-use planning and decision-making to foster sustainable development and strengthen climate resilience.
Exploiting Blockchain Technology for Enhancing Digital Twins’ Security and Transparency
Authors: Ferone Alessio , Verrilli Stefano
Published: January 2025

Blockchain technology has been applied in a wide range of domains and has seen major developments in the last years, notably when integrated with other emerging technologies. In this paper, we focus on the integration of blockchain and digital twins with the aim of enhancing the capabilities of both technologies. In particular, we demonstrate how blockchain can improve critical aspects of the security and transparency of digital twins by analyzing a real-world scenario and evaluating produced experimental data. This research identifies and addresses critical vulnerabilities in digital twins, particularly data integrity and transparency, through blockchain-based validation mechanisms and smart-contract integration. Various blockchain-related and digital twin-related technologies are employed to enable the repeatability of the suggested approach. Additionally, an in-depth analysis of such integration is provided to facilitate a symbiotic relationship between these technologies by addressing key challenges, such as scalability, interoperability, and performance, along with viable solutions that could advance their co-evolution in both academic research and industrial applications.
The Influence of Healthy Lifestyle on Willingness to Consume Healthy Food Brands: A Perceived Value Perspective
Authors: García-Salirrosas Elizabeth Emperatriz , Esponda-Perez Jorge Alberto , Millones-Liza Dany Yudet , Haro-Zea Karla Liliana , Moreno-Barrera Luiggi Agustin , Ezcurra-Zavaleta Ghenkis Amilcar , Rivera-Echegaray Luis Alberto , Escobar-Farfan Manuel
Published: January 2025

This paper aims to build a predictive model that assesses how a healthy lifestyle affects different dimensions of perceived value (quality, social value, emotional value, and economic value) and how these dimensions impact the willingness to purchase healthy brands. A quantitative, non-experimental, and cross-sectional study was conducted with a sample of 515 participants. A self-administered questionnaire was used, and the data were analyzed using the PLS-SEM method. The findings indicate that a healthy lifestyle positively influences the perception of quality and the social, emotional, and economic value of healthy brands. However, only perceived quality, social value, and emotional value significantly impacted the willingness to purchase, while economic value did not show a relevant effect. It is concluded that a healthy lifestyle is a determining factor in the perception of the value of healthy foods, which reinforces the purchase intention, except for economic value. These findings suggest that companies should prioritize strategies that reinforce the quality and emotional and social connections of their products to encourage the consumption of healthy brands. This study contributes theoretically to the perceived value model in emerging markets and provides practical implications for designing more effective marketing strategies in the Peruvian context.
Correction: Pons-Gómez et al. Pomegranate Quality from Consumers’ Perspective: Drivers of Liking, Preference Patterns, and the Relation between Sensory and Physico-Chemical Properties. Foods 2024, 13, 2118
Authors: Pons-Gómez Ana , Delpozo Bárbara , Bartual Julián , Besada Cristina
Published: January 2025

In the original publication [...]
L-Theanine Extends the Lifespan of Caenorhabditis elegans by Reducing the End Products of Advanced Glycosylation
Authors: Huang Zhihang , Jing Haiming , Pan Yan , Cai Hongxia , Zhang Wenjing , Zhu Jingyuan , Zhang Nan , Wu Dan , Xu Wentao , Qiu Hexiang , Bao Huihui , Li Guojun , Ning Junyu , Xian Bo , Gao Shan
Published: January 2025

L-theanine, a non-protein amino acid naturally occurring in tea leaves, is recognized for its antioxidant, anti-inflammatory, and neuroprotective properties. Despite its known benefits, the mechanisms by which L-theanine influences lifespan extension remain poorly understood. This study investigated the effects of L-theanine on the lifespan of Caenorhabditis elegans and explored the underlying mechanisms. Our findings indicate that L-theanine significantly diminishes the accumulation of advanced glycation end products (AGEs), which are biomarkers closely linked to aging and age-related diseases. Through an AGE-level analysis, we observed that L-theanine, when administered during early adulthood, notably extended the lifespan of Caenorhabditis elegans under both normal and high-glucose-induced stress conditions. L-theanine enhanced the lifespan under typical conditions and provided protective effects against high-glucose-induced stress. A further analysis demonstrated that L-theanine extends the lifespan of Caenorhabditis elegans by modulating the DAF-2/DAF-16 insulin-like signaling pathway and reducing the accumulation of advanced glycation end products (AGEs). In summary, this study identified L-theanine as a potential anti-aging intervention that extends the lifespan by reducing AGE accumulation and regulating insulin-like signaling pathways. These findings provide new insights for developing anti-aging strategies and lay the groundwork for further research on the potential benefits of L-theanine in mammals. Future studies could explore the molecular mechanisms, test L-theanine in mammalian models, and assess the long-term side effects.
Antioxidant Activity of Pomegranate Husk Ellagitannins in Enhancing Oxidative Stability of Canola Oil During Frying
Authors: Michel Mariela R. , Pacheco-Lara Maritza , Rojas Romeo , Martínez-Ávila Guillermo Cristian G. , Ascacio-Valdés Juan Alberto , Aguilar-Zárate Mayra , Aguilar-Zárate Pedro
Published: January 2025

This study evaluated the antioxidant efficacy of ellagitannins from a pomegranate husk in preventing vegetable canola oil (VCO) oxidation during French fry preparation. Ellagitannins were extracted using 80% acetone, purified via Amberlite XAD-16 resin chromatography, and incorporated into VCO at 0.05%, 0.1%, and 0.2% concentrations. VCO oxidation was assessed at 145 °C, 160 °C, and 190 °C, with frying experiments conducted at 160 °C for five 10 min cycles. Primary lipid oxidation (peroxide values) was measured using the AOCS Cd 8-53 method, and molecular structural changes were analyzed by infrared spectroscopy. Results showed that ellagitannins significantly mitigated VCO oxidation across all temperatures, with 0.05% identified as the optimal concentration. This concentration reduced peroxide values to 4.66 ± 1.15 meq O/kg, remaining stable and below acceptable limits during frying. Infrared spectroscopy confirmed no significant structural changes in VCO. These findings highlight ellagitannins as effective antioxidants for enhancing VCO oxidative stability during frying, offering a natural, sustainable solution for improving oil quality and extending its usability in the food industry.
Development and Optimization of a Real-Time Monitoring System of Small-Scale Multi-Purpose Juice Extractor
Authors: Kim Tae-Hyeon , Jung Jae-Min , Lee Wang-Hee
Published: January 2025

According to the concept of smart postharvest management, an information and communication technology sensor–based monitoring system is required in the juicing process to reduce losses and improve process efficiency. Such technologies are considered economically burdensome and technically challenging for small-scale enterprises to adopt. From this perspective, this study aimed to develop a smart monitoring system for the juicing processes in small-scale enterprises and to identify the optimal operating conditions based on the monitoring data. The system developed is equipped with two weight sensors attached to the twin-screw juice extractor, allowing for the automatic measurement of the weight of the raw material and the resulting juice product. The measured data are automatically transmitted and stored on a computer. Additionally, the system was designed to remotely control the speeds of the juicing and feeding screws, which are the primary controlling factors of the twin-screw juicer. Juice yield and processing time were optimized using carrots and pears. The optimal juicing and feeding speeds for pear yield were found to be 167.4 rpm and 1557 rpm, respectively; carrots achieved an optimal yield at a juicing speed of 502.2 rpm and feeding speed of 1211 rpm. In contrast, the processing time was minimized at juicing–feeding speeds of 6–6 and 7–5 for pears and carrots, respectively. Consequently, it was challenging to determine the optimal conditions for simultaneously optimizing the yield and processing time. This also suggests that the juicing process is affected by the properties of the fruits and vegetables being processed. By developing a system capable of accumulating the data necessary for the digitization of postharvest management and food processing, this research offers a valuable platform for the smart monitoring and optimization of the juicing process.
Design of a Novel Fractional Whale Optimization-Enhanced Support Vector Regression (FWOA-SVR) Model for Accurate Solar Energy Forecasting
Authors: Wadood Abdul , Albalawi Hani , Alatwi Aadel Mohammed , Anwar Hafeez , Ali Tariq
Published: January 2025

This study presents a novel Fractional Whale Optimization Algorithm-Enhanced Support Vector Regression (FWOA-SVR) framework for solar energy forecasting, addressing the limitations of traditional SVR in modeling complex relationships within data. The proposed framework incorporates fractional calculus in the Whale Optimization Algorithm (WOA) to improve the balance between exploration and exploitation during hyperparameter tuning. The FWOA-SVR model is comprehensively evaluated against traditional SVR, Long Short-Term Memory (LSTM), and Backpropagation Neural Network (BPNN) models using training, validation, and testing datasets. Experimental results show that FWOA-SVR achieves superior performance with the lowest MSE values (0.036311, 0.03942, and 0.03825), RMSE values (0.19213, 0.19856, and 0.19577), and the highest R2 values (0.96392, 0.96104, and 0.96192) for training, validation, and testing, respectively. These results highlight the significant improvements of FWOA-SVR in prediction accuracy and efficiency, surpassing benchmark models in capturing complex patterns within the data. The findings highlight the effectiveness of integrating fractional optimization techniques into machine learning frameworks for advancing solar energy forecasting solutions.
A Three-Generation Study of the Prevalence and Comorbidity of Posttraumatic Obsessive-Compulsive Disorder and Posttraumatic Stress Disorder Among Afghan Refugees
Authors: Habib Alveera , Zulfiqar Najia
Published: January 2025

Afghan refugees are at the forefront of international attention amidst the unfolding global refugee crisis. Having borne witnesses to the horrors of war, fled their homeland, and endured the tragic loss of loved ones, they suffered a psychological trauma that reshaped their cognitive and emotional frameworks. This cross-sectional survey explores the prevalence and comorbidity of posttraumatic stress disorder and posttraumatic obsessive-compulsive disorder among Afghan refugees living in Haripur, Pakistan, and the intergenerational transmission of PTSD across their three generations. Researchers collected data from 48 male participants representing three generations of 16 Afghan refugee families using the Obsessive-Compulsive Inventory-Revised and the Posttraumatic Diagnostic Scale for DSM-5-TR. The findings revealed a significant positive correlation between posttraumatic obsessive-compulsive disorder and posttraumatic stress disorder, indicating a substantial co-occurrence of posttraumatic obsessive-compulsive disorder and posttraumatic stress disorder. About 79.20% of total participants were diagnosed with posttraumatic obsessive-compulsive disorder, and it was more prevalent among the first generation (87.5%) than in the second and third generations (75.0%) each—additionally, significant variability across generations in the prevalence of PTSD. The first-generation refugees experienced severe and very severe symptoms (12.5%), the second-generation experienced moderate symptoms, and the third-generation experienced mild symptoms (16.6%). These results emphasize the importance of addressing the comorbidity of both disorders in refugee communities to underscore their intergenerational adverse mental health outcomes.
Hereditary Breast Cancer: Comprehensive Risk Assessment and Prevention Strategies
Authors: Manna Eliza Del Fiol , Serrano Davide , Cazzaniga Laura , Mannucci Sara , Zanzottera Cristina , Fava Francesca , Aurilio Gaetano , Guerrieri-Gonzaga Aliana , Risti Matilde , Calvello Mariarosaria , Feroce Irene , Marabelli Monica , Altemura Cecilia , Bertario Lucio , Bonanni Bernardo , Lazzeroni Matteo
Published: January 2025

Women carrying pathogenic/likely pathogenic (P/LP) variants in moderate- or high-penetrance genes have an increased risk of developing breast cancer. However, most P/LP variants associated with breast cancer risk show incomplete penetrance. Age, gender, family history, polygenic risk, lifestyle, reproductive, hormonal, and environmental factors can affect the expressivity and penetrance of the disease. However, there are gaps in translating how individual genomic variation affects phenotypic presentation. The expansion of criteria for genetic testing and the increasing utilization of comprehensive genetic panels may enhance the identification of individuals carrying P/LP variants linked to hereditary breast cancer. Individualized risk assessment could facilitate the implementation of personalized risk-reduction strategies for these individuals. Preventive interventions encompass lifestyle modifications, chemoprevention, enhanced surveillance through breast imaging, and risk-reducing surgeries. This review addresses the current literature’s inconsistencies and limitations, particularly regarding risk factors and the intensity of preventive strategies for women with P/LP variants in moderate- and high-penetrance genes. In addition, it synthesizes the latest evidence on risk assessment and primary and secondary prevention in women at high risk of breast cancer.
Sensitivity Analysis and Application of the Shanghai Model in Ultra-Deep Excavation Engineering
Authors: Ma Aoyang , Wang Weiyi , Zhu Wenxuan , Xu Zhonghua , Ye Guanlin
Published: January 2025

In deep foundation pit engineering, the soil undergoes a complex stress path, encompassing both loading and unloading phases. The Shanghai model, an advanced constitutive model, effectively accounts for the soil’s deformation characteristics under these varied stress paths, which is essential for accurately predicting the horizontal displacement and surface settlement of the foundation pit’s enclosure structure. This model comprises eight material parameters, three initial state parameters, and one small-strain parameter. Despite its sophistication, there is a scarcity of numerical studies exploring the correlation between these parameters and the deformation patterns in foundation pit engineering. This paper initially establishes the superiority of the Shanghai model in ultra-deep circular vertical shaft foundation pit engineering by examining a case study of a nursery circular ultra-deep vertical shaft foundation pit, which is part of the Suzhou River section’s deep drainage and storage pipeline system pilot project in Shanghai. Subsequently, utilizing an idealized foundation pit engineering model, a comprehensive sensitivity analysis of the Shanghai model’s multi-parameter values across their full range was performed using orthogonal experiments. The findings revealed that the parameter most sensitive to the lateral displacement of the underground continuous wall was κ, with an increase in κ leading to a corresponding increase in displacement. Similarly, the parameter most sensitive to surface subsidence outside the pit was λ, with an increase in λ resulting in greater subsidence. Lastly, the parameter most sensitive to soil uplift at the bottom of the pit was also κ, with an increase in κ leading to more significant uplift.
Participation as a Pillar of Active Ageing: The Role of Eudaimonic Psychological and Health Factors
Authors: Paniagua-Granados Teresa , Fernández-Fernández Virginia , Molina-Martínez María Ángeles
Published: January 2025

Background/Objectives: With ageing population projections, promoting positive ageing trajectories is critical. While health is often emphasised, eudaimonic psychological factors remain underexamined. A qualitative study presented throughout the main text highlighted the importance of psychological factors like purpose in life and resilience in fostering participation and subjective well-being, even amidst declining health. This model bridges the most recent updates from governmental organisations—the International Longevity Center, Brazil and the World Health Organization. Building on this model, the current research seeks to empirically assess the impact of health and eudaimonic psychological factors on the frequency and satisfaction of participation among older adults. Methods: This study involved 289 participants (56.74% women) aged 65+ in Madrid. Data on participation, self-perceived health, and eudaimonic factors were collected through an online survey. Hierarchical regression and cluster analyses explored the predictors and profiles of participation. Results: Resilience, positive relationships, and autonomy explained 8.8% of variance in participation frequency. Satisfaction was influenced by health, meaning in life, and autonomy, accounting for 11% of variance. Profiles showed the highest participation and satisfaction in individuals with high eudaimonic scores, despite moderate health. Conclusions: Eudaimonic factors significantly influence participation and mitigate health limitations, reinforcing the qualitative study model mentioned. By uniting updates from governmental organisations proposals, this model underscores the role of psychological well-being in active ageing. Future research should explore hedonic well-being as a key outcome of active ageing.
Supplementary Treatment for Alleviating Pain and Enhancing Functional Ability in Geriatric Patients with Osteoarthritis
Authors: Aurelian Sorina Maria , Oancea Corina , Aurelian Justin , Mihalache Ruxandra , Vlădulescu-Trandafir Andreea Iulia , Capisizu Alexandru , Chirca Narcis , Zamfirescu Andreea
Published: January 2025

Background and Objectives: A degenerative joint disease that primarily affects elderly individuals, osteoarthritis (OA) causes pain, decreased mobility, and a lower quality of life. Procaine is regarded as a “veteran” medicine due to its extensive clinical use, although it remains a molecule of interest, as researchers are uncovering new biological and pharmacological effects through innovative experimental methods. This study evaluates the efficacy of the “procaine complex”, developed in our country, in alleviating pain and improving functionality in elderly individuals with osteoarthritis of the knee and hip. Materials and Methods: We conducted an assessment of a longitudinal short-term study involving 177 patients aged 65 and older, who were randomly divided into two groups. One group received physical therapy and “procaine complex” periarticular injections (n = 101), while the other group received just physical therapy (n = 76). We assessed pain using a visual analog scale (VAS), in addition to functional evaluations using the Lequesne Index, Activities of Daily Living (ADL), and Instrumental ADL (IADL) scores. We evaluated these through a CGA (complex geriatric assessment), the walk test, “Up and Go” test, Mini Mental State (MMSE) and Geriatric Depression Scale (GDS) for cognitive status. We analyzed all the data from this study using PSPP v3 software. Results: The procaine complex treatment group exhibited a significant reduction in pain (p < 0.001) and improvement in daily activities (p < 0.001) relative to the control group. However, there was no notable difference in walking test scores (p = 0.171). No substantial detrimental effects were identified. The procaine complex did not surpass physical therapy in reducing depressive disorders, but both groups showed some enhancement in this regard. Conclusions: This study demonstrates an innovative approach to pain management by integrating periarticular “procaine complex” injections with physical therapy. This provides elderly individuals experiencing osteoarthritis pain and functional limitations with a secure and efficacious alternative to surgery, or may diminish years of disability.
Prevalence of and Factors Associated with Hypertension Among Bank Employees: A Cross-Sectional Study in Saudi Arabia
Authors: Al-Batanony Manal A. , Alharbi Bader S. , Alharbi Meshal S. , Alharbi Oqab A. , Almutairi Abdullah A. , Almansour Mohammad F. , Al-Wutayd Osama
Published: January 2025

Background and Objectives: Hypertension (HTN) is one of the most common non-communicable medical conditions and the leading preventable risk factor for early mortality worldwide. As a result of their exposure to sedentary work and job strain, bank employees comprise an occupational group at risk for HTN. Due to the lack of previous research addressing this issue in Saudi Arabia, this study aimed to assess the prevalence of HTN and its associated factors among bankers in the Qassim region, Saudi Arabia. Materials and Methods: This cross-sectional study was conducted among 342 bank employees. A self-administered questionnaire in the workplace was used to collect data on the sociodemographic characteristics and risk factors of participants, including smoking, physical activity, family history of HTN, and diabetes mellitus. Each participant’s blood pressure, height, and weight were measured. Cohen’s Perceived Stress Scale was used to assess stress levels. Results: The prevalence of HTN in the participants was 28.9%. Multiple logistic regression analysis showed that being a smoker (adjusted odds ratio [aOR] = 1.82, 95% confidence interval [CI]: 1.02–3.25), diabetic (aOR = 5.14, 95% CI: 1.60–16.54), or obese (aOR = 5.49, 95% CI: 2.75–10.96); having a positive family history of HTN (aOR = 2.48, 95% CI: 1.36–4.51); and having a very high stress score (≥21; aOR = 3.24, 95% CI: 1.04–10.11) were associated with an increased risk of HTN, while walking for 10 min continuously ≥7 times/week (aOR = 0.28, 95% CI: 0.12–0.64) was associated with a decreased risk of HTN. Conclusions: The findings revealed that almost one out of three bank employees had HTN. Periodic screening for early detection of HTN, as well as implementing health education and lifestyle modification programs, is recommended.
Journey of Hope for Patients with Fibromyalgia: From Diagnosis to Self-Management—A Qualitative Study
Authors: Aldarwesh Amal
Published: January 2025

Background/Objectives: Fibromyalgia syndrome (FMS) is a chronic, debilitating condition characterized by widespread pain, fatigue, and psychological distress. There is a lack of qualitative studies on the unique experiences of patients with FMS in Arab countries, particularly through social media. Despite the availability of diagnostic criteria, diagnosing and managing patients remains challenging. This study aimed to describe the experiences of patients with FMS in Arab countries, their understanding of the illness, and perceptions of treatment. Methods: A qualitative study was conducted using a content analysis of patients’ narratives published in a supportive group, describing their experiences with fibromyalgia. The dataset included 2305 quotes from 192 main posts and 2113 comments collected between 2019 and 2024. Results: The analysis of the posts and associated comments revealed six main themes: patients’ experiences with the syndrome, symptoms, searching for a doctor, pharmacological management, self-management, and the impact of fibromyalgia and peer support. Most posts and comments focused on patients’ experiences with self-management approaches and coping strategies, highlighting significant noncompliance with therapeutic modalities. Factors influencing patients’ experiences and decisions included their relationship with physicians, medication side effects, personal fears, and physical and mental health. Conclusions: Patients with FMS in Arab countries face similar challenges to those in other regions, including physical, psychological, social, and economic impacts. Many patients reject conventional therapeutic management strategies and adopt coping mechanisms to mitigate adverse effects and healthcare costs. The findings suggest that the physician–patient relationship, as well as the physician’s knowledge and attitude toward fibromyalgia syndrome, are the cornerstones of gaining patients’ trust.
Effects of Light Intensity and Irrigation Method on Growth, Quality, and Anthocyanin Content of Red Oak Lettuce (Lactuca sativa var. cripspa L.) Cultivated in a Plant Factory with Artificial Lighting
Authors: Ruangsangaram Thanit , Chulaka Pariyanuj , Mosaleeyanon Kriengkrai , Chutimanukul Panita , Takagaki Michiko , Lu Na
Published: January 2025

Cultivating red oak lettuce in plant factories often encounters challenges in achieving the desired red leaf coloration. To make the leaves a pleasant red color, anthocyanins are key substances that need to be induced. This study aimed to evaluate the effects of increasing light intensity and irrigation methods on the growth and leaf color of red oak lettuce in a controlled environment. Two light intensities (300 and 400 µmol m−2 s−1) with white LEDs and two irrigation methods (circulating vs. non-circulating irrigation) were applied seven days before harvesting. The results indicated that plants grown with circulating irrigation exhibited significantly higher fresh and dry weights than those grown under non-circulating conditions, regardless of light intensity. When non-circulating irrigation was applied, shoot fresh weight decreased by approximately 22% on the harvesting day compared to the circulating treatments. Under the 400 µmol m−2 s−1 light intensity with non-circulating irrigation (400N-C), plants displayed the lowest lightness (L*) at 40.7, increased redness (a*) to −7.4, and reduced yellowness (b*) to 11.0. These changes in coloration were optimized by day 5 after treatment. Additionally, spectral indices, including normalized difference vegetation index and photochemical reflectance index, varied significantly among treatments. The 400N-C treatment also resulted in the highest anthocyanin content and antioxidant activity in red oak lettuce. These findings suggest that combining high light intensity with non-circulating irrigation before harvest can improve both the coloration and quality of red oak lettuce in plant factories with artificial lighting.
Balancing Yield and Sustainability: A Comparative Analysis of Supplemental Lighting in Commercial-Scale Cucumber Cultivation
Authors: Hashemi Seyed Mohammad , Kurenda Andrzej , Karatepe Selin , Savidov Nick A.
Published: January 2025

Lighting is a fundamental driver of plant productivity in controlled-environment agriculture (CEA), directly affecting physiological processes, resource efficiency, and sustainability. This study evaluates the effects of distinct lighting systems, industrial Light-Emitting Diodes (iLEDs), horticultural LEDs (hLEDs), high-pressure sodium (HPS) lamps, and controls (no supplemental light), each providing unique light spectra, on cucumber (Cucumis sativus L.) growth, physiology, and environmental impact under a controlled light intensity of 250 µmol m−2 s−1 in a commercial CEA setup. The results indicated that iLEDs enhance intrinsic water use efficiency (35.65 µmol CO2/mol H2O) and reduce transpiration, reflecting superior physiological resource use. Electrophysiological measurements indicated significantly more stable stress responses in plants subjected to iLEDs and hLEDs as compared to HPS and control treatments, indicating the effectiveness of LED light spectra in mitigating stress-related physiological impacts. Furthermore, compact growth and shorter stem internodes were observed under iLEDs as well as hLEDs, highlighting the spectral effects on photomorphogenesis, likely caused by a balanced light spectrum. HPS lighting achieved the highest yield (42.86 kg m−2) but at a significant environmental cost, with 342.65 kg CO2e m−2 emissions compared to 204.29 kg CO2e m−2 for iLEDs, with competitive yield of 38.84 kg m−2. Economic analysis revealed that iLEDs also offered the most cost-effective solution due to lower energy consumption and extended lifespan. This study focused on the interaction between light spectra, photosynthetic performance, stress resilience, and resource efficiency, advancing sustainable strategies for energy-efficient food production in CEA systems.
Importance of Nitrogen and Zinc Fertility in Pecan Production
Authors: Pokhrel Niranjan , Ferguson Louise , Zhang Lu
Published: January 2025

Pecan is an important nut crop in the United States. It is native to North America and dominantly produced in the southern states in the US. Nitrogen and zinc are two of the most critical nutrients for pecan production. This review provides a comprehensive overview of nitrogen and zinc fertilizer management in pecan orchards, covering key topics such as nitrogen sources, nitrogen application rates, the timing of nitrogen application, nitrogen application of damaged trees, the impact of zinc deficiency, and methods for zinc application. The deficiency of these nutrients causes severe loss in pecan production. However, the cost involving nutrient application and post the effect of excessive application on the soil and environment is of serious discussion. This review summarizes nitrogen and zinc management strategy and explores application methods that can reduce the cost of fertilizer with minimal adverse effect on the soil and environment. Also, this review sheds light on the areas that needs extensive research in nutrient management in pecan production.
Effects of an Easily Implemented Physical Exercise Program on the Ventricular Ejection Fraction of Women with Breast Cancer Undergoing Chemotherapy
Authors: Moreira Tiago Rafael , Pimenta Nuno , Teixeira Alexandra , Pinheiro Bruno Nobre , Canário-Lemos Rui , Peixoto Rafael , Garrido Nuno Domingos , Vilaça-Alves José
Published: January 2025

Breast cancer (BC) is the most common cancer among women, with an incidence of 85–94 per 100,000 people annually in Europe. Despite the increasing incidence of BC, advancements in early detection and novel therapeutic approaches have improved survival rates. However, adjuvant treatments are associated with side effects, including a reduction in the left ventricular ejection fraction (LVEF), which can result in severe cardiac damage and progress to heart failure. Methods: Thirty-eight women undergoing BC treatment were included in the study. Eighteen women (47.2 ± 5.4 years old) participated in a supervised physical exercise (PE) program for 60 min/day, twice weekly, at moderate to high intensity (5 min joint mobilization, 20 min predominantly aerobic training, 30 min of strength training, and 5 min cooldown). The remaining 20 women (51.5 ± 9.5 years) were advised to remain active during treatments, but without specific supervision. In the PE group, a slight reduction in the LVEF was observed after chemotherapy (63.73 ± 3.34% vs. 61.00 ± 6.54%, p = 0.131). In contrast, the control group showed a statistically significant reduction in the LVEF (64.93 ± 4.00% vs. 60.57 ± 4.86%, p = 0.008). Although the results suggest a potential protective effect of regular physical exercise during BC treatment, the study was inconclusive regarding its role in preventing cardiac dysfunction. Further research with a larger sample size and longer follow-up is warranted.