bluuebunny/crossref_metadata_2025 huggingface dataset:
Explanatory AI Predicts the Diet Adopted Based on Nutritional and Lifestyle Habits in the Spanish Population
Authors: Sandri Elena , Cerdá Olmedo Germán , Piredda Michela , Werner Lisa Ursula , Dentamaro Vincenzo
Published: January 2025

This study used Explainable Artificial Intelligence (XAI) with SHapley Additive exPlanations (SHAP) to examine dietary and lifestyle habits in the Spanish population and identify key diet predictors. A cross-sectional design was used, employing the validated NutSo-HH scale to gather data on nutrition, lifestyle, and socio-demographic factors. The CatBoost method combined with SHAP was applied. The sample included 22,181 Spanish adults: 17,573 followed the Mediterranean diet, 1425 were vegetarians, 365 were vegans, and 1018 practiced intermittent fasting. Fish consumption was the strongest dietary indicator, with vegans abstaining and some vegetarians consuming it occasionally. Age influenced diet: younger individuals preferred vegan/vegetarian diets, while older adults adhered to the Mediterranean diet. Vegans and vegetarians consumed less junk food, and intermittent fasters were more physically active. The model effectively predicts the Mediterranean diet but struggles with others due to sample imbalance, highlighting the need for larger studies on plant-based and intermittent fasting diets.
Towards Robust Routing: Enabling Long-Range Perception with the Power of Graph Transformers and Deep Reinforcement Learning in Software-Defined Networks
Authors: Li Xinyuan , Li Junze , Zhou Jingli , Liu Jun
Published: January 2025

Deep Reinforcement Learning (DRL) has demonstrated promising capabilities for routing optimization in Software-Defined Networks (SDNs). However, existing DRL-based routing algorithms are struggling to extract graph-structured information and constrained to a fixed topology, suffering from the lack of robustness. In this paper, we strengthen the advantages of Graph Neural Networks (GNNs) for DRL-based routing optimization and propose a novel algorithm named Graph Transformer Star Routing (GTSR) to enhance robustness against topology changes. GTSR utilizes the multi-agent architecture to enable each node to make routing decisions independently, and introduces a Graph Transformer to equip agents with the capabilities of handling topology changes. Furthermore, we carefully design a global message-passing mechanism with a virtual star node and a path-based readout method, enhancing the long-range perception of traffic and the detection of potential congestion for routing decision-making. Moreover, we construct a multi-agent cooperation mechanism to facilitate the learning of universal perceptual strategies and reduce the amount of computation. Extensive experiments on multiple real-world network topologies demonstrate that GTSR is capable of adapting to unseen topology changes without retraining and decreases end-to-end latency by at least 47% and packet loss rate by at least 10% compared to all baselines, highlighting strong robustness.
Research on the Coordinated Control of Mining Multi-PMSM Systems Based on an Improved Active Disturbance Rejection Controller
Authors: Liu Lixin , Liu Cheng , Che Changjin , Wu Yunbo , Zhao Qing
Published: January 2025

This study focuses on the problems of poor control performance, synchronization performance and stability in multi-motor permanent magnet drive systems in mining belt conveyors when a Proportional Integral Derivative (PID) controller is used to control the multi-motor. In this paper, a system model for three-motor synchronous control of a mine belt conveyor is established. On this basis, an Enhanced first-order Active Disturbance Rejection Controller (Efal_ADRC) is designed based on an optimized nonlinear function. Additionally, a weighted arithmetic mean is used to enhance the compensator of the ring coupling control structure. Finally, the system model is evaluated and simulated using various algorithms. Results show that synchronous control of a multi-Permanent Magnet Synchronous Motor (multi-PMSM) drive system based on the Efal_ADRC ring coupling control structure has better anti-interference ability, control accuracy and synchronization, which is conducive to the stable and efficient safe operation of the belt conveyor.
A Clustering Algorithm Based on Local Relative Density
Authors: Zou Yujuan , Wang Zhijian , Wang Xiangchen , Lv Taizhi
Published: January 2025

DBSCAN and DPC are typical density-based clustering algorithms. These two algorithms have their drawbacks, such as difficulty in clustering when there are significant differences in density between clusters. This study proposes a clustering algorithm, RDBSCAN, which is based on local relative density, drawing on the extension strategy of DBSCAN and the allocation mechanism of DPC. The algorithm first uses k-nearest neighbors to calculate the original local density, then sorts the points in descending order of this density. It then selects the point with the highest original local density from the unprocessed points as the local center of the next cluster. Based on this local center, RDBSCAN calculates the local relative density, determines the core objects, and performs cluster expansion. Drawing on the allocation mechanism of DPC, the algorithm performs a secondary allocation for points in clusters that are too small to complete the final clustering. Comparative experiments using RDBSCAN and eight other clustering algorithms were conducted, and the test results show that RDBSCAN ranks first in clustering performance metrics among all algorithms on synthetic datasets and second on real-world datasets.
The Assessment of Electricity Self-Sufficiency Potential of Facade-Applied Photovoltaic Systems Based on Design Scenarios: A Case Study of an Apartment Complex in the Republic of Korea
Authors: Lee Hyomun , Tran Tien Nhat , Lee Ruda , Kim Dongsu , Choi Hyunkyu , Yoon Jongho
Published: January 2025

The performance of facade-applied photovoltaic (FPV) systems in high-rise apartment complexes varies based on the height and layout of the buildings, influencing the overall energy efficiency of the complex. This study assesses the potential of FPV systems to achieve electricity self-sufficiency in apartment complexes. Focusing on a single apartment complex in Seoul, South Korea, the geometry and layout of each building are used to estimate electricity consumption and assess the impact of FPV systems. The electricity consumption of the apartment complex was estimated based on the electricity energy use intensity derived from the analysis of public data and the gross floor area of the apartment complex, yielding an annual electricity consumption of 1803.7 MWh. Two types of photovoltaic (PV) systems were considered: rooftop-mounted photovoltaic (RFPV) systems and FPV systems installed on the south-facing facades of buildings. Three FPV design scenarios were examined (Scenario A: full facade coverage; Scenario B: horizontal-only installation; Scenario C: vertical-only installation), with no design variations for the RFPV system. The RFPV system was estimated to contribute 30.7% (553.8 MWh/yr) of the complex’s electricity consumption. The remaining electricity consumption, 1249.9 MWh/yr, is met by the FPV systems, with self-sufficiency rates under the three FPV design scenarios found to be 83.3% for Scenario A, 33.6% for Scenario B, and 64.6% for Scenario C. These findings highlight the need for additional PV installations or the incorporation of other renewable energy technologies to achieve full electricity self-sufficiency. This study provides a foundational model for applying PV systems to high-rise apartment complexes, offering insights for further research and real-world implementation.
Analysis of Water Injection and Heat Recovery Potential of Abandoned Oil Wells Transformed into Geothermal Wells in Northern Shaanxi
Authors: Yu Huagui , Liu Shi , Pang Yanyan , Wang Peng , Gao Qian
Published: January 2025

The Chang 2 bottom water reservoir area in the western part of northern Shaanxi constitutes one of the key oil-producing regions within the Ordos Basin. A principal reservoir here is the Triassic Yanchang Formation’s Chang 2 reservoir, which is characterized by favorable physical properties, dynamic edge and bottom water activity, and a high geothermal gradient. This study employs the STARS module of the CMG reservoir numerical simulation software to model water intake and heat recovery processes in the target region. It analyzes the heat recovery rate and efficiency of three water production methods—direct water extraction, four-injection–one-production, and one-injection–four-production—under varying injection pressures. The results indicate that direct water extraction from the bottom water reservoir is challenging. However, the annual heat recovery per well for the four-injection–one-production and one-injection–four-production methods equates to a standard coal production ranging between 190 and 420 tons, suggesting that there is significant potential for water injection and heat recovery in the Chang 2 reservoir in the western part of northern Shaanxi.
Prevalence of Methicillin-Resistant Staphylococcus aureus in Livestock in Japan: A Systematic Review and Meta-Analysis
Authors: Hanamoto Sayoko , Fujimoto Yuri , Sugiura Katsuaki , Haga Takeshi
Published: January 2025

Background: Methicillin-resistant Staphylococcus aureus (MRSA) is an important health issue that is estimated to have caused 130,000 deaths worldwide in 2021. As more instances of cross-species transmission of MRSA have been reported, concerns have been raised regarding the spread of livestock-associated MRSA to humans. The prevalence of MRSA in livestock varies globally. This study systematically reviews the prevalence of MRSA at the farm and animal levels in Japan. Methods: Relevant studies published in English or Japanese between 2000 and 2023 were retrieved from four databases. Pooled prevalences at the farm and animal levels in Japanese farms were calculated using a random-effects model. Subgroup and meta-regression analyses were also performed to explore sources of heterogeneity. Results: The 13 studies included in this meta-analysis yielded an MRSA prevalence of 3.54% (95% confidence interval [CI] 0.65–8.30%) at the individual pig level, 13.07% (95% CI 5.42–23.04%) at the pig farm level, 0.0% (95% CI 0.00–0.04%) at the individual cattle level, and 0% (95% CI 0.00–0.44%) at the individual chicken level. A significant increase in MRSA prevalence over time was evident at the individual pig level by both subgroup analysis (p = 0.020) and meta-regression (p = 0.019). Conclusions: Our results indicated that the proportion of pigs that can be a source of MRSA infection in humans has been steadily increasing in Japan. Despite some limitations, our findings strongly imply a need for more attention to pig-to-human MRSA transmission in Japan.
Assessment of Pine Tree Crown Delineation Algorithms on UAV Data: From K-Means Clustering to CNN Segmentation
Authors: Hosingholizade Ali , Erfanifard Yousef , Alavipanah Seyed Kazem , Millan Virginia Elena Garcia , Mielcarek Miłosz , Pirasteh Saied , Stereńczak Krzysztof
Published: January 2025

The crown area is a critical metric for evaluating tree growth and supporting various ecological and forestry analyses. This study compares three approaches, i.e., unsupervised clustering, region-based, and deep learning, to estimate the crown area of Pinus eldarica Medw. using UAV-acquired RGB imagery (2 cm ground sampling distance) and high-density point clouds (1.27 points/cm3). The first approach applied unsupervised clustering techniques, such as Mean-shift and K-means, to directly estimate crown areas, bypassing tree top detection. The second employed a region-based approach, using Template Matching and Local Maxima (LM) for tree top identification, followed by Marker-Controlled Watershed (MCW) and Seeded Region Growing for crown delineation. The third approach utilized a Convolutional Neural Network (CNN) that integrated Digital Surface Model layers with the Visible Atmospheric Resistance Index for enhanced segmentation. The results were compared against field measurements and manual digitization. The findings reveal that CNN and MCW with LM were the most effective, particularly for small and large trees, though performance decreased for medium-sized crowns. CNN provided the most accurate results overall, with a relative root mean square error (RRMSE) of 8.85%, a Nash–Sutcliffe Efficiency (NSE) of 0.97, and a bias score (BS) of 1.00. The CNN crown area estimates showed strong correlations (R2 = 0.83, 0.62, and 0.94 for small, medium, and large trees, respectively) with manually digitized references. This study underscores the value of advanced CNN techniques for precise crown area and shape estimation, highlighting the need for future research to refine algorithms for improved handling of crown size variability.
Experimental Optimization of a Venturi-Type Fine Bubble Generation System Based on Gas Absorption Rate
Authors: Toma Gabriel , Alcántara Avila Jesús Rafael
Published: January 2025

Fine bubbles (FBs) are defined by the ISO/TC 281 as gas bubbles with a diameter of less than 100 μm, and they have interesting properties such as high surface-to-volume ratio, low buoyancy, long residence time, electric charge, and self-pressurization effect. Typically, FBs are characterized in terms of size distribution, concentration, and zeta potential through specialized microscopic and nanoscopic measuring devices. This work proposes a multi-objective optimization problem to find the optimal conditions to generate FBs from experimental macroscopic measurements in terms of dissolved oxygen (DO). Then, detailed microscopic measurements in terms of size distribution and zeta potential are conducted. Additionally, two venturi-type Fine Bubble Generators (FBGs) were 3D-printed in-house to evaluate the relationship between the internal structure and the generation of FBs. The best FBGs have an obstacle in the diverging section that promotes FB generation under the evaluated experimental conditions. Under the best operating conditions, FBs were stable over 7 days with a size distribution between 60 and 90 nm and with an average of −21 mV.
Ultrasound-Assisted Determination of Selenium in Organic Rice Using Deep Eutectic Solvents Coupled with Inductively Coupled Plasma Mass Spectrometry
Authors: Zhang Shanshan , Chen Boyu , Liu Yu , Sun Haoyu , Zhang Haixing , Li Na , Qing Yang , Elango Jeevithan , Zhao Dayun , Wu Wenhui
Published: January 2025

As the focus on green chemistry intensifies, researchers are progressively looking to incorporate biodegradable and environmentally friendly solvents. Given the prevalent use of inorganic solvents in conventional methods for detecting selenium content, this study utilized a mixture design approach to create four deep eutectic solvents (DESs). The elements of the DESs consisted of six different compounds: guanidine hydrochloride, fructose, glycerol, citric acid, proline, and choline chloride. The synthesized deep eutectic solvents (DESs) exhibited a uniform and transparent appearance. The ideal ratios for each DES were established based on their density and viscosity measurements, leading to the formulations of DES1 (34% guanidine hydrochloride, 21% fructose, 45% water), DES2 (23% guanidine hydrochloride, 32% glycerol, 45% water), DES3 (27.5% citric acid, 27.5% proline, 45% water), and DES4 (30% choline chloride, 25% citric acid, 45% water). The characterization of the deep eutectic solvents (DESs) was performed using nuclear magnetic resonance (NMR) spectroscopy and infrared (IR) spectroscopy, which confirmed the molecular formation of each DES. Following this, the DESs were applied as extraction solvents in a process involving ultrasonic-assisted microextraction (UAE) combined with inductively coupled plasma mass spectrometry (ICP-MS) to assess the selenium levels in selenium-rich rice. The results were benchmarked against traditional microwave-assisted acid digestion (TM-AD), revealing selenium recovery rates ranging from 85.5% to 106.7%. These results indicate that UAE is an effective method for extracting selenium from selenium-rich rice, thereby establishing a solid data foundation for the environmentally friendly analysis of selenium content in rice.
Prediction of Pasta Colour Considering Traits Involved in Colour Expression of Durum Wheat Semolina
Authors: Troccoli Antonio , Ficco Donatella Bianca Maria , Platani Cristiano , D’Egidio Maria Grazia , Borrelli Grazia Maria
Published: January 2025

Colour plays an important role among the quality traits of durum wheat, attracting consumer attention for the pasta market. The traits involved in colour expression are affected by genotype, environment, and processing. In the present study, based on eighteen durum wheat genotypes grown in eight environments, the effects of different traits related to colour expression were evaluated. Carotenoid pigments, such as lutein and β-carotene content; yellow and brown indices; and lipoxygenase, peroxidase, and polyphenoloxidase activities were analysed in semolina. The effects of processing were evaluated by measuring both the content of carotenoid pigments and colorimetric indices in pasta. The genotype, the environment, and their interaction were significant for all traits, although with a strong prevalence of genotypic effects, except for the brown index. After processing, a decrease in carotenoid content and the yellow index (86.7% and 16.0%, respectively) was observed, while the brown index increased (8.2%). A multiple regression analysis was performed on semolina traits, and the yellow index emerged as the main predictor for pasta colour, strengthening this trait as a fast and reliable criterion of selection. A High-Performance Index tool was also used to identify the genotype and environment that better combine all traits, positively influencing colour expression. All this information can be used in durum wheat breeding programmes for the prediction of pasta colour.
A New Chaotic Weak Signal Detection Method Based on a Simplified Fractional-Order Genesio–Tesi Chaotic System
Authors: Mao Hongcun , Feng Yuling , Wang Xiaoqian , Gao Chao , Lin Changhao , Yao Zhihai
Published: January 2025

The detection of weak signals is a well-established application in chaos theory. This theory leverages the inherent robustness of chaotic systems, enabling them to resist noise and thus serve as effective tools for identifying weak signals. However, challenges remain in selecting appropriate chaotic systems and in their practical implementation—areas that are still under-explored. In this paper, we analyze a simplified fractional-order Genesio–Tesi chaotic system, which exhibits a unique chaos-divergence characteristic. Based on this characteristic, we propose a new detection method that uses the chaos-divergence state as a criterion for determining the presence or absence of a signal when detecting weak signal amplitudes. This approach makes the simplified fractional-order Genesio–Tesi chaotic system more suitable for chaotic weak signal detection. Notably, the significant variance observed in the divergent state’s independent variables emerges as a key feature, enhancing the system’s ability to detect the frequencies of weak signals. Our numerical simulations focus on detecting weak cosine signals masked by three different types of noise. The results demonstrate successful detection of a weak signal at a frequency of 100 rad/s under the specified conditions, with the lowest detectable signal-to-noise ratio of −40.83 dB. Overall, these results highlight the effectiveness and feasibility of our proposed method for weak signal detection.
Fractional Calculus of Piecewise Continuous Functions
Authors: Ortigueira Manuel Duarte
Published: January 2025

The fractional derivative computation of piecewise continuous functions is treated with generality. It is shown why some applications give incorrect results and why Caputo derivative give strange results. Some examples are described.
Determinants of Under-Immunization Among Children Between 0 and 59 Months in Buea Municipality, South Western Cameroon: Implications for National Immunization Campaign
Authors: Dinga Jerome Nyhalah , Ngunjoh Fred Ngwa , Tendongfor Nicholas , Mbah Glory Enjong , Qin Haowen , Ahmed Irshad , Muki Synthia Eni , Gamua Stanley Dobgima , Manyam Rameshbabu , Titanji Vincent P. K.
Published: January 2025

Introduction: Under-immunization remains a major global public health concern. The World Health Organization (WHO) reports that approximately 20 million children globally are not fully vaccinated, with more than half of these children residing in Africa. African countries including Cameroon face unique challenges in achieving high vaccination coverage. This study aimed to determine the prevalence and determinants of under-immunization among children aged 0–59 months in Buea, Cameroon to contribute to effective national immunization policy. Methods: This cross-sectional study used the World Health Organization Behavioural and Social Determinants of vaccination tool to collect data from 438 caregivers of children aged 0–59 months in the city of Buea. Data were collected on socio-demographics, immunization factors, and health system variables for the study cohort. Results: It was found that 25.11% of children in urban Buea were under-immunized. Children in Buea Town were three times more likely to be under-immunized than those in Molyko (AOR = 3.0, 95% CI: 1.3–7.3, p = 0.013). Children of separated caregivers were 0.2 times less likely to be under-immunized than those of widowed caregivers (AOR = 0.2, 95% CI: 0.1–0.9, p = 0.036). Children whose caregivers did not receive unsolicited advice were 2.1 times more likely to be under-immunized (AOR = 2.1, 95% CI: 1.2–3.4, p = 0.006). Children living less than 1 mile from health facilities were 2.9 times more likely to be under-immunized than those living more than 10 miles away (AOR = 2.9, 95% CI: 1.1–7.5, p = 0.030). Children of caregivers employed in the private sector were 4.3 times more likely to be under-immunized compared to those of unemployed caregivers (AOR = 4.3, 95% CI: 1.1–16.2, p = 0.031). Children in non-owned/non-rented houses were 0.3 times less likely to be under-immunized compared to those in rented houses (AOR = 0.3, 95% CI: 0.1–0.9, p = 0.030). Children whose caregivers did not discuss vaccination concerns with healthcare workers were 0.6 times less likely to have under-immunized children (COR = 0.6, 95% CI: 0.3–0.9, p = 0.020). Conclusions: It was concluded that under-immunization is a significant public health problem in the city of Buea. Interventions that target the quality of services, community engagement, and the unique challenges faced by different caregiver groups, are needed.
The Role of Ferritin and Folate in Determining Stem Cell Collection for Autologous Stem Cell Transplant in Multiple Myeloma
Authors: Weeks Charles J. , Mian Mohammad , Stokes Michael , Gold Matthew , Shah Anvay , Vuppala Rohan , Kim Katherine J. , Simon Abigayle B. , Cortes Jorge , Jillela Anand , Kota Vamsi
Published: January 2025

Background: An autologous stem cell transplant (ASCT) is the standard of care for eligible patients with multiple myeloma (MM). However, the success of ASCT largely hinges on efficient mobilization; thus, a thorough analysis of factors that may affect mobilization is essential. Methods: The study consists of a single-center, retrospective chart review of 292 adult patients undergoing their first or second autologous transplantation for MM from 2016 to 2023. Patient demographics, serum lab values at the pre-collection evaluation visit, total stem cell capture (TC) in CD34/kg × 106 stem cell capture on the first day of apheresis (FC) in CD34/kg × 106, and the total number of days of apheresis (DOA) were retrieved from the electronic medical record (EMR). Results: Individuals with high folate levels experienced less DOA (1.43 ± 0.61) compared to those with normal folate levels (1.68 ± 0.82, p = 0.013). The high-folate group had a greater FC (3.26 ± 1.07) compared to the normal-folate group (2.88 ± 1.13, p = 0.013). High ferritin levels were associated with more DOA (1.79 ± 0.89) compared to the normal-ferritin group (1.51 ± 0.67, p = 0.034). Moderate anemia was significantly associated with decreased FC (p = 0.023) and increased DOA (p = 0.030). Abnormal hemoglobin (Hgb), ferritin, and folate statuses did not exhibit significant differences in survival analysis. Conclusions: The findings reveal that folate, ferritin, and Hgb levels are significantly associated with apheresis outcomes, offering guidance for optimizing stem cell mobilization in patients with MM.
Effects of Saline Solutions on Paper-Based Cultural Heritage: Non-Invasive Techniques for Studying Flooded Ancient Books
Authors: David Tullia Carla , Pisu Francesca Assunta , Porcu Stefania , Carbonaro Carlo Maria , Kodric Jarmila , Chiriu Daniele
Published: January 2025

Archival materials are increasingly vulnerable to damage from chemical, physical, biological, and environmental factors, including climate change-related extreme weather events such as torrential rains and flash floods. These conditions pose significant risks to paper-based cultural heritage, leading to degradation from both water and salt exposure. This study investigates the effects of direct immersion in saline solutions on different types of paper, simulating the impact of flooding events. We focused on how varying levels of salinity affect the crystalline structure of paper, which is crucial for understanding its degradation. This study employed non-invasive, portable optical techniques such as luminescence, reflectivity, and Raman spectroscopy to monitor the changes in the paper structure. Our results showed that salt exposure leads to significant alterations in the paper’s crystalline composition. The study concludes that washing treatments are essential for mitigating further degradation, highlighting the importance of timely intervention in preserving cultural heritage. The non-destructive nature of the methods used also demonstrates their potential for in situ applications in cultural heritage conservation.
Contribution of Geological Heritage to Geoeducation: A Case Study from Samaria Gorge and Mount Pentelicus (Marble Quarries)
Authors: Spyrou Evangelos , Fitros Michalis , Saitis Giannis , Evelpidou Niki , Laskaridis Konstantinos , Fotiadis Thomas , Skliros Vasilis , Papadopoulos George Angelos
Published: January 2025

The promotion of geological heritage can significantly contribute to geoeducation. As geosites are areas that can be visited by everyone and not just experts on the field, a good comprehension of the processes under which they were formed can improve their understanding of the Earth in general. In this work, we have selected two Greek regions, namely Samaria Gorge (Crete) and Mount Pentelicus (Attica), and their sites of geological interest were mapped. Subsequently, some georoutes are proposed, covering both these sites and other locations of cultural, historical, archaeological, and/or religious interest. Through a detailed description of each site and its georoutes, we intend to promote the two areas’ geological heritage on the one hand, and contribute to the development of geoeducation on the other hand. For this purpose, we have also created an online story map and a Virtual Reality (VR) application for each one of them, both addressed to the general public.
The Role of Oxidative Stress in the Antifungal Activity of Two Mollusk Fractions on Resistant Fungal Strains
Authors: Velkova Lyudmila , Abrashev Radoslav , Miteva-Staleva Jeny , Dishliyska Vladislava , Dolashki Aleksandar , Spasova Boryana , Dolashka Pavlina , Angelova Maria , Krumova Ekaterina
Published: January 2025

Fungal infections are a significant global public health challenge because of their widespread occurrence, morbidity, and profound social and economic consequences. Antifungal resistance is also an increasing concern, posing a substantial risk to public health. There is a growing interest in searching for new antifungal drugs isolated from natural sources. This study aimed to evaluate the antifungal activity of novel mollusk fractions against fungal strains resistant to nystatin and amphotericin B. In addition, the role of oxidative stress in the mechanism of damage was determined. The mucus from the garden snail Cornu aspersum (MCa/1-20) and the hemolymph fraction from the marine snail Rapana venosa (HLRv/3-100) were obtained and characterized via 12% sodium dodecyl sulfate–polyacrylamide gel electrophoresis (SDS-PAGE) and mass spectrometric -analyses. The results demonstrate that the spores and biomass of both mollusk fractions have a significant fungicidal effect against Penicillium griseofulvum, and Aspergillus niger. Compared to the control group, the release of intracellular proteins and reducing sugars was significantly increased in the treated groups. The data showed increased levels of oxidative stress biomarkers (lipid peroxidation and oxidatively damaged proteins) and a downregulated antioxidant enzyme defense, corresponding to increased antifungal activity. To our knowledge, this is the first study evaluating oxidative stress as a factor in mollusk fractions’ antifungal activity.
Deaminase-Driven Reverse Transcription Mutagenesis in Oncogenesis: Critical Analysis of Transcriptional Strand Asymmetries of Single Base Substitution Signatures
Authors: Steele Edward J. , Lindley Robyn A.
Published: January 2025

This paper provides a critical analysis of the molecular mechanisms presently used to explain transcriptional strand asymmetries of single base substitution (SBS) signatures observed in cancer genomes curated at the Catalogue of Somatic Mutations in Cancer (COSMIC) database (Wellcome Trust Sanger Institute). The analysis is based on a deaminase-driven reverse transcriptase (DRT) mutagenesis model of cancer oncogenesis involving both the cytosine (AID/APOBEC) and adenosine (ADAR) mutagenic deaminases. In this analysis we apply what is known, or can reasonably be inferred, of the immunoglobulin somatic hypermutation (Ig SHM) mechanism to the analysis of the transcriptional stand asymmetries of the COSMIC SBS signatures that are observed in cancer genomes. The underlying assumption is that somatic mutations arising in cancer genomes are driven by dysregulated off-target Ig SHM-like mutagenic processes at non-Ig loci. It is reasoned that most SBS signatures whether of “unknown etiology” or assigned-molecular causation, can be readily understood in terms of the DRT-paradigm. These include the major age-related “clock-like” SBS5 signature observed in all cancer genomes sequenced and many other common subset signatures including SBS1, SBS3, SBS2/13, SBS6, SBS12, SBS16, SBS17a/17b, SBS19, SBS21, as well as signatures clearly arising from exogenous causation. We conclude that the DRT-model provides a plausible molecular framework that augments our current understanding of immunogenetic mechanisms driving oncogenesis. It accommodates both what is known about AID/APOBEC and ADAR somatic mutation strand asymmetries and provides a fully integrated understanding into the molecular origins of common COSMIC SBS signatures. The DRT-paradigm thus provides scientists and clinicians with additional molecular insights into the causal links between deaminase-associated genomic signatures and oncogenic processes.
Impact of Implementing Female Genomic Selection and the Use of Sex-Selected Semen Technology on Genetic Gain in a Dairy Herd in New Zealand
Authors: Mckimmie Craig , Forutan Mehrnush , Tajet Håvard Melbo , Ehsani Alireza , Hickford Jonathan , Amirpour Hamed
Published: January 2025

Genomic selection (GS) has changed cattle breeding, but its use so far has been in selecting superior bulls for breeding. However, its farm-level impact, particularly on female selection, remains less explored. This study aimed to investigate the impact of implementing GS to identify superior cows and using artificial mating of those cows with sex-selected semen in a New Zealand Holstein-Friesian (HF) dairy herd (n = 1800 cows). Heifers (n = 2061) born over four consecutive years between 2021 and 2024 were genotyped and their genomic breeding values (GBVs) were estimated. These heifers were ranked based on the Balanced Performance Index (BPI; DataGene, Dairy Australia) Lower-performing cows producing less than 15 L/day (or 20 L/day for older cows) and those with severe mastitis were culled. Cows were mated with HF genetics based on production and udder breeding values, while lower-performing cows were mated to beef genetics. Milking adult cows were mated to bulls with similar BPI value. Annual genetic change was measured using Australian breeding values (ABVg) for milk fat production (FAT), protein production (PROT), fertility (FER), Mastitis Resistance (MAS), and BPI. The genetic merits of the heifers improved annually, with BPI increasing from 136 to 184 between 2021 and 2023, corresponding to a financial gain of NZD 17.53 per animal per year. The predicted BPI gain from 2023 to 2026 is expected to rise from 184 to 384, resulting in a financial gain of NZD 72.96 per animal per year. Using sex-selected semen on the top 50% of BPI-rated heifers in 2024 further accelerated genetic gain. Predicted BPI values for progeny born in 2025 and 2026 are 320 and 384, respectively. These findings revealed that the female GS, combined with sex-selected semen from genomically selected bulls, significantly accelerates genetic gain by improving the intensity and accuracy of selection. The approach achieves genetic progress equivalent to what traditionally would have required eight years of breeding without female GS, and has potential to improve dairy herd performance and profitability.
The Mining for Flowering-Related Genes Based on De Novo Transcriptome Sequencing in the Endangered Plant Phoebe chekiangensis
Authors: Sun Qinglin , Liu Yan , Ni Mingyang , Song Yandong , Yang Qi , Zhang Junhong , Zhang Yuting , Tong Zaikang
Published: January 2025

Phoebe chekiangensis is an indigenous, endangered, and valuable timber and garden tree species in China, which is notable for having a short juvenile phase (early flowering), unique among the Phoebe genus. However, the molecular mechanisms regulating the flowering of P. chekiangensis remain unexplored, primarily due to the lack of transcriptomic or genomic data. In the present study, transcriptome sequencing yielded 53 million RNA reads, resulting in 111,250 unigenes after de novo assembly. Of these, 47,525 unigenes (42.72%) were successfully annotated in the non-redundant (Nr) database. Furthermore, 15,605 unigenes were assigned to Clusters of Orthologous Groups (KOGs), and 36,370 unigenes were classified into Gene Ontology (GO) categories. A total of 16,135 unigenes were mapped to the Kyoto Encyclopedia of Genes and Genomes (KEGG) database, involving 298 pathways. Based on the expression levels, Gibberellin signaling pathway-related genes were the most predominant expression levels. Hormonal analysis showed that gibberellin (GA) levels varied across tissues and flowering stages, as GA20 levels in leaves were low during full bloom, while GA1 and GA5 levels peaked in flowers. Furthermore, several key genes involved in gibberellin biosynthesis, including CPS, GID1, GA20ox, GA3ox, and GA2ox, exhibited stage-specific expression patterns. Certain genes were highly expressed during the initial phases of flowering, while others, like GA3ox and GA2ox, reached peak expression at full bloom. These findings provide valuable insights into the molecular mechanisms underlying flowering in P. chekiangensis, laying the foundation for future breeding efforts. This transcriptome dataset will serve as an important public resource for molecular research on this species, facilitating the discovery of functional genes related to its growth, development, and flowering regulation.
Evaluating Smart Home Usability and Accessibility in Early Detection and Intervention of Mental Health Challenges Among Older Adults: A Narrative Review and Framework
Authors: Fakhimi Mohammad Mahdi , Hughes Adriana , Gustavson Alisson M.
Published: January 2025

Background: Smart home technologies (SHTs) hold promise for supporting older adults by enabling early detection and intervention in mental health challenges such as depression, anxiety, and cognitive decline. However, adoption remains limited due to usability, accessibility, and privacy concerns. Methods: This narrative review examined the literature from 2010 to early 2024 related to SHTs and their impact on older adults’ mental health. In total, 34 relevant studies met the inclusion criteria, and also, a standardized quality assessment tool was used to evaluate the methodological soundness of the included studies. Results: Findings reveal that interface complexity, cognitive overload, high costs, and privacy concerns are significant barriers to adoption. Accessibility challenges, including physical and sensory impairments, further reduce engagement and inclusivity. Key facilitators for user acceptance include user-centric design, personalization, participatory co-development, and cultural adaptations. SHTs incorporating AI-driven features, such as behavioral monitoring, medication reminders, and social engagement tools, demonstrate significant potential for early mental health interventions. Based on these findings, we propose a holistic framework integrating technical innovation with human-centered design to address these challenges and optimize SHTs for mental healthcare. Conclusions: Tailored systems that prioritize usability, accessibility, ethical data management, and user feedback can empower older adults to maintain autonomy, support aging in place, and enhance their quality of life with dignity.
Kounis Syndrome in Clinical Practice: Insights from Clinical Case Series and Mechanistic Pathways
Authors: Benchea Laura-Cătălina , Anghel Larisa , Scripcariu Dragoș Viorel , Diaconu Anca , Zanfirescu Răzvan-Liviu , Lucaci Laurentiu-Vladimir , Bîrgoan Silviu-Gabriel , Sascău Radu Andy , Stătescu Cristian , Radu Rodica
Published: January 2025

Kounis syndrome (KS) is a rare condition where hypersensitivity reactions trigger coronary vasospasm, destabilization of atherosclerotic plaques, or stent thrombosis, posing diagnostic and therapeutic challenges due to its overlap with acute coronary syndrome (ACS) and the absence of specific guidelines. This study reviews cases of KS from the Institute of Cardiovascular Disease to highlight clinical presentations, triggers, and treatment strategies. We analyzed four cases of KS treated at our institution between 2019 and 2024. Detailed clinical histories, laboratory findings, imaging studies, and treatment plans were reviewed. Patients were classified by KS subtype based on coronary anatomy and pathophysiological mechanisms. Management strategies were tailored to each subtype, combining myocardial revascularization, antiplatelet therapy, and treatment for allergic reactions. The series included two cases of Type I KS in patients with structurally normal coronary arteries and two cases of Type II KS involving pre-existing atherosclerosis. No Type III KS was observed. Triggers included insect stings, antibiotics, iodinated contrast agents, and anesthetics. Coronary angiography confirmed the diagnosis in all cases. Treatments included percutaneous coronary interventions, dual antiplatelet therapy, and prophylactic antihistamines or corticosteroids. All patients experienced favorable outcomes, although diagnostic delays were noted in cases with atypical presentations. KS remains underdiagnosed, especially in emergency settings where it mimics ACS. Early recognition and multidisciplinary management involving allergology and cardiology are crucial. Future research should focus on safer diagnostic tools, understanding the pathophysiology, and developing evidence-based preventive strategies. Increasing the awareness of KS and its inclusion in ACS differentials are essential to improving patient outcomes and preventing recurrences.
Cardiac CT Perfusion Imaging of Pericoronary Adipose Tissue (PCAT) Highlighting Potential Confounds in CTA Analysis
Authors: Wu Hao , Song Yingnan , Hoori Ammar , Lee Juhwan , Al-Kindi Sadeer G. , Huang Wei-Ming , Yun Chun-Ho , Hung Chung-Lieh , Rajagopalan Sanjay , Wilson David L.
Published: January 2025

Background: Features of pericoronary adipose tissue (PCAT) from coronary computed tomography angiography (CCTA) are associated with inflammation and cardiovascular risk. As PCAT is vascularly connected with coronary vasculature, the presence of iodine is a potential confounding factor on PCAT HU and textures that has not been adequately investigated. We aim to use dynamic cardiac CT perfusion (CCTP) to understand the perfusion of PCAT and determine its effects on PCAT assessment. Methods: From CCTP, we analyzed HU dynamics of territory-specific PCAT, the myocardium, and other adipose depots in patients with coronary artery disease. HU, blood flow, and radiomics were assessed over time. Changes from peak aorta time, Pa, chosen to model the acquisition time of CCTA, were obtained. Results: HU in PCAT increased more than in other adipose depots. Blood flow in PCAT was ~23% of that in the contiguous myocardium. A two-second offset [before, after] Pa resulted in [4 ± 1.1 HU, 3 ± 1.5 HU] differences in PCAT, giving a 7 HU swing. Due to changes in HU, the apparent PCAT volume reduced by ~15% from the first scan (P1) to Pa using a conventional fat window. Comparing radiomic features over time, 78% of features changed >10% relative to P1. Distal and proximal to a significant stenosis, we found less enhancement and longer time-to-peak distally in PCAT. Conclusions: CCTP elucidates blood flow in PCAT and enables the analysis of PCAT features over time. PCAT assessments (HU, apparent volume, and radiomics) are sensitive to acquisition timing and obstructive stenosis, which may confound the interpretation of PCAT in CCTA images. Data normalization may be in order.
Ineffectiveness of KeraVio Treatment with Violet Light-Emitting Glasses Without Riboflavin Drops for Progressive Keratoconus
Authors: Kobashi Hidenaga , Kumanomido Takashi , Ide Takeshi , Kato Naoko , Shimazaki Jun , Itoi Motozumi , Tsubota Kazuo
Published: January 2025

Background: KeraVio, a portable corneal cross-linking (CXL) treatment modality involving the use of violet light (VL)-emitting glasses, was originally used in conjunction with topical transepithelial riboflavin (BJO 2021). However, after our preliminary findings of endogenous riboflavin in the human cornea and the observation that the relatively low intensity of VL irradiation increased corneal stiffness in porcine corneas (TVST 2021), we evaluated the clinical results of KeraVio without riboflavin drops. Methods: Patients with progressive keratoconus were enrolled and randomly divided into a VL irradiation alone group (Group 1) and a no irradiation group (Group 2; control group) (jRCTs032190267). The eyes were exposed to VL (375 nm, irradiance 310 μW/cm2)-emitting glasses for 4.5 h daily for 6 months. Results: The mean changes in the maximum keratometry value (Kmax) from baseline to 6 months were 0.94 ± 2.65 diopters (D) and 1.76 ± 2.75 D in Group 1 and Group 2, respectively (p = 0.705). Conclusions: No differences were found between patients who did and did not receive VL irradiation in terms of the clinical outcomes of keratoconus. VL irradiation alone likely did not halt keratoconic progression, and the administration of riboflavin was necessary.
Investigating the Potential of Latent Space for the Classification of Paint Defects
Authors: Almhaithawi Doaa , Bellini Alessandro , Chasparis Georgios C. , Cerquitelli Tania
Published: January 2025

Defect detection methods have greatly assisted human operators in various fields, from textiles to surfaces and mechanical components, by facilitating decision-making processes and reducing visual fatigue. This area of research is widely recognized as a cross-industry concern, particularly in the manufacturing sector. Nevertheless, each specific application brings unique challenges that require tailored solutions. This paper presents a novel framework for leveraging latent space representations in defect detection tasks, focusing on improving explainability while maintaining accuracy. This work delves into how latent spaces can be utilized by integrating unsupervised and supervised analyses. We propose a hybrid methodology that not only identifies known defects but also provides a mechanism for detecting anomalies and dynamically adapting to new defect types. This dual approach supports human operators, reducing manual workload and enhancing interpretability.
Performance Evaluation of TEROS 10 Sensor in Diverse Substrates and Soils of Different Electrical Conductivity Using Low-Cost Microcontroller Settings
Authors: Fragkos Athanasios , Loukatos Dimitrios , Kargas Georgios , Arvanitis Konstantinos G.
Published: January 2025

This study sheds light on the performance of the common high-precision electromagnetic sensor TEROS 10 to estimate volumetric soil water content (θ) from dry to saturation across three different substrates, six different soil types having three different levels of electrical conductivity of soil solutions (ECw), and in liquids with increasing salinity level under laboratory conditions, by using low-cost but accurate experimental IoT hardware arrangements. This performance was evaluated using statistical analysis metrics such as Root Mean Square Error (RMSE). It was found that TEROS 10 performance did not conform to the manufacturer’s specifications throughout the full scale range, although in some cases good water content estimation was provided. Some inconsistencies were identified by applying the manufacturer’s calibration equations, and thus recommendations for improvements are provided, aiming to enhance the sensor’s overall performance. TEROS 10 performance across all six soils and three substrates was improved on average from an RMSE of 0.052 and 0.078 cm3 cm−3, respectively, by using factory-derived calibration, to 0.031 and 0.031 cm3 cm−3 by using the multipoint calibration method (CAL). Furthermore, a linear calibration formula, using Raw output as the predictor variable, was tested and resulted in an RMSE of 0.026 and 0.046 cm3 cm−3 for soils and substrates, respectively.
Assessment of Arteriovenous Fistula Maturation in Hemodialysis Patients with Persistently Positive Antiphospholipid Antibody: A Prospective Observational Cohort Study
Authors: Taghavi Maxime , Jacobs Lucas , Kaysi Saleh , Dernier Yves , Cubilier Edouard , Chebli Louis , Laureys Marc , Collart Frédéric , Demulder Anne , Antoine Marie-Hélène , Nortier Joëlle
Published: January 2025

Background: Arteriovenous fistula (AVF) is the preferred vascular access option for hemodialysis (HD). The latter requires a remodeling process called maturation that can take up to 3 months. Maturation failure is a frequent complication associated with significant morbidity. The prevalence of antiphospholipid antibody (aPL) positivity in HD patients is high and may result in thrombosis of the vascular access. Recently, aPL persistent positivity has been associated with AVF maturation failure in a retrospective study including 116 patients. Methods: We are conducting an observational prospective cohort study aiming to evaluate this association. Included patients are planned for AVF creation, aged over 18 years old, and have an interpretable aPL assay confirmed at 12 weeks and without any other innate or acquired thrombophilia or inflammatory disease. Primary endpoints will be the evaluation of AVF maturation clinically and by ultrasound. Secondary endpoints will focus on clinical outcomes other than AVF maturation (i.e., primary patency, thrombosis or stenosis, bleeding and hemodialysis adequacy parameters). Conclusions: This prospective observational cohort study aims to examine the possibly causative link between aPL persistent positivity and AVF maturation failure. This study was registered on ClinicalTrials.gov (ID number: NCT06112821).