bluuebunny/crossref_metadata_2025 huggingface dataset:
Understanding the Effects of a Math Placement Exam on Calculus 1 Enrollment and Engineering Persistence
Authors: Ryan Olivia , Sajadi Susan , Barrera Sergio , Jaghargh Reza Tavakoli
Published: January 2025

Educational institutions are grappling with declining enrollments and low mathematical achievements. This study investigates how a math placement exam (ALEKS) influences enrollment in Calculus 1 and student persistence, taking into account academic preparation and demographic factors. It also evaluates the effects of remedial math courses for students near the placement cutoff. Using Astin’s input–environment–outcome model, this study analyzed data from 3380 students employing a Kitagawa-Oaxaca-Blinder decomposition and fuzzy regression discontinuity. These methods were used to identify unexplained differences across demographic groups and capture outcomes near the math placement cutoff. Based on the findings, a cutoff of 80% for the ALEKS exam is appropriate. This study underscores the role of math placement exams in shaping engineering enrollment and student success. These findings prompt reevaluating placement strategies and support mechanisms, particularly for URM, first-generation, and female students, to enhance equity and retention in engineering.
Online Pulse Compensation for Energy Spectrum Determination: A Pole-Zero Cancellation and Unfolding Approach
Authors: Quirino Tiago Motta , Paschoalin Thiago Campos Acácio , Gonçalves Guilherme Inácio , Lisboa Pedro Henrique Braga , de Andrade Filho Luciano Manhães , Peralva Bernardo Sotto-Maior
Published: January 2025

Signal conditioning circuits, in particle energy spectrum determination systems, introduce shaping characteristics that affect pulse integrity. This study explores algorithms to compensate for these effects, focusing on digital signal processing for pole-zero cancellation (PZC) and unfolding techniques. The PZC algorithm successfully corrects baseline shift and pulse amplitude loss, providing significant improvements in signal fidelity. Although a digital PZC applied in streaming for high event rates was previously not feasible, this work proposes its implementation on FPGA, combining it with the unfolding method to enable online compensation and enhanced performance under various experimental conditions.
A Coarse- and Fine-Grained Co-Exploration Approach for Optimizing DNN Spatial Accelerators: Improving Speed and Performance
Authors: Sun Hao , Shen Junzhong , Zhang Changwu , Liu Hengzhu
Published: January 2025

The rapid advancement of deep neural networks has significantly increased demands for computational complexity and data volume. This trend is especially evident with the emergence of large language models, which have rendered traditional architectures such as CPUs and GPGPUs insufficient in meeting performance and energy efficiency requirements. Spatial accelerators present a promising solution by optimizing on-chip compute, storage, and communication resources. In exploring spatial accelerator design spaces, analytical model-based simulators and cycle-accurate simulators are commonly employed, each offering distinct advantages: high computational speed and superior simulation accuracy, respectively. However, the limited accuracy of analytical models and the slow simulation speed of cycle-accurate simulators impede the achievement of globally optimal solutions during design space exploration. Therefore, effectively leveraging the strengths of both simulator types while mitigating their inherent trade-offs is a critical challenge in designing customized spatial accelerators. In this work, we introduce a novel co-exploration methodology that integrates both coarse-grained and fine-grained approaches to navigate design and mapping spaces effectively. We utilize the rapid simulation capabilities of analytical models to perform coarse-grained global exploration, quickly eliminating designs and mapping configurations with inferior performance. Building on the results of this initial exploration, we employ cycle-accurate simulators to conduct fine-grained local exploration within the identified promising regions of the design and mapping spaces. This dual-phase approach aims to identify optimal hardware designs and dataflow mapping strategies that enhance performance and energy efficiency. The experimental results demonstrate that, compared to state-of-the-art methods, our approach reduces the number of exploration points by up to 99%, while achieving a 17.9% reduction in latency, a 2.5% decrease in energy consumption, and a 30.3% improvement in throughput.
Wave Phase Coding Applied to Frequency-Shift Keying for Spectrally Efficient Underwater Optical Communication
Authors: Petroni Andrea , Scarano Gaetano , Cusani Roberto , Biagi Mauro
Published: January 2025

In the last decade, the advances in optoelectronics have led optical wireless communication to become an effective technology to transmit data in challenging environments like the underwater one. Unlike the well-established acoustic signaling, underwater optical communication enables high rates transmission even though they are limited to a shorter distance on the order of tens of meters. In fact, light propagation strongly suffers from attenuation caused by the channel. In such conditions, data transmission is typically based on modulation schemes providing high reliability at the expense of poor spectral efficiency. In this direction, herein we propose a novel modulation scheme that, by combining the principles of frequency and a novel phase modulation, referred to as wave phase coding, achieves a high spectral efficiency while maintaining a remarkable robustness to errors. Simulation results demonstrate that the proposed solution is able to achieve a convenient trade-off between spectral efficiency and reliability, outperforming both conventional schemes and hybrid techniques proposed in the literature.
Energy Efficiency in Portuguese Traditional Cheese Industries: A Comprehensive Case Study
Authors: Nunes José , Silva Pedro D. , Andrade Luís P. , Gaspar Pedro D. , Cuce Pinar Mert , Cuce Erdem , Yilmaz Yusuf Nadir
Published: January 2025

In Portugal, cheese holds a prominent position as a major dairy product, with traditional varieties enjoying widespread acclaim. A number of these cheeses have earned Protected Designations of Origin status, showcasing their unique qualities and regional significance. Notable examples include “Serra da Estrela”, “Serpa”, and “Terrincho”. The production of cheese relies heavily on heating and cooling processes, which account for a substantial portion of the total energy consumed. This research endeavour undertakes a detailed description and analysis of traditional cheesemaking practices within Portugal’s interior central region, with a particular emphasis on the economic and energetic efficiency of refrigeration systems. For this purpose, thirty-one traditional cheese production facilities were examined and classified into two distinct groups: Traditional Industrial Producers and Traditional Handmade Producers. The analysis was conducted through two separate case studies. The findings reveal that a significant 58% of the energy consumed by these facilities is attributed to electrically powered cooling systems, encompassing components such as fans, compressed air systems, and illumination. Within the production processes, fuel combustion, primarily naphtha or propane, serves the purpose of water heating and steam generation. Based on energy consumption reports, the Specific Energy Consumption of electricity was determined to be 0.283 kWh/lRM for TIP and 0.169 kWh/lRM for THP. Furthermore, several linear regression models were developed to explore the relationships between parameters such as cold room volume, compressor power, and raw material quantity. The study also identified key factors contributing to reduced energy efficiency within the facilities. These factors include inadequate insulation of buildings and cold rooms, outdated and poorly maintained refrigeration equipment situated in suboptimal locations, and cold rooms and compressors that are oversized and not optimised for efficient operation.
A Review of Reliability Assessment and Lifetime Prediction Methods for Electrical Machine Insulation Under Thermal Aging
Authors: Zhang Jian , Wang Jiajin , Li Hongbo , Zhang Qin , He Xiangning , Meng Cui , Huang Xiaoyan , Fang Youtong , Wu Jianwei
Published: January 2025

The thermal aging of insulation systems in electrical machines is a critical factor influencing their reliability and lifetime, particularly in modern high-performance electrical equipment. However, evaluating and predicting insulation lifetime under thermal aging poses significant challenges due to the complex aging mechanisms. Thermal aging not only leads to the degradation of macroscopic properties such as dielectric strength and breakdown voltage but also causes progressive changes in the microstructure, making the correlation between aging stress and aging indicators fundamental for lifetime evaluation and prediction. This review first summarizes the performance indicators reflecting insulation thermal aging. Subsequently, it systematically reviews current methods for reliability assessment and lifetime prediction in the thermal aging process of electrical machine insulation, with a focus on the application of different modeling approaches such as physics-of-failure (PoF) models, data-driven models, and stochastic process models in insulation lifetime modeling. The theoretical foundations, modeling processes, advantages, and limitations of each method are discussed. In particular, PoF-based models provide an in-depth understanding of degradation mechanisms to predict lifetime, but the major challenge remains in dealing with complex failure mechanisms that are not well understood. Data-driven methods, such as artificial intelligence or curve-fitting techniques, offer precise predictions of complex nonlinear relationships. However, their dependence on high-quality data and the lack of interpretability remain limiting factors. Stochastic process models, based on Wiener or Gamma processes, exhibit clear advantages in addressing the randomness and uncertainty in degradation processes, but their applicability in real-world complex operating conditions requires further research and validation. Furthermore, the potential applications of thermal lifetime models, such as electrical machine design optimization, fault prognosis, health management, and standard development are reviewed. Finally, future research directions are proposed, highlighting opportunities for breakthroughs in model coupling, multi-physical field analysis, and digital twin technology. These insights aim to provide a scientific basis for insulation reliability studies and lay the groundwork for developing efficient lifetime prediction tools.
Hybrid Variable Renewable Power Plants: A Case Study of ROR Hydro Arbitrage
Authors: Catarino Isabel , Romão Inês , Estanqueiro Ana
Published: January 2025

Wind and solar energy sources, while sustainable, are inherently variable in their power generation, posing challenges to grid stability due to their non-dispatchable nature. To address this issue, this study explores the synergistic optimization of wind and solar photovoltaic resources to mitigate power output variability, reducing the strain on local grids and lessening the reliance on balancing power in high-penetration renewable energy systems. This critical role of providing stability can be effectively fulfilled by run-of-river hydropower plants, which can complement fluctuations without compromising their standard operational capabilities. In this research, we employ a straightforward energy balance model to analyze the feasibility of a 100 MW virtual hybrid power plant, focusing on the northern region of Portugal as a case study. Leveraging actual consumption and conceptual production data, our investigation identifies a specific run-of-river plant that aligns with the proposed strategy, demonstrating the practical applicability of this approach.
Comprehensive Characterization and Impact Analysis of Interlayers on CO2 Flooding in Low-Permeability Sandstone Reservoirs
Authors: Abitkazy Taskyn , Yan Lin , Albriki Khaled , Baletabieke Bahedaer , Yuan Dawei , He Yingfu , Sarbayev Akhan
Published: January 2025

In low-permeability sandstone reservoirs (LPSR), impermeable interlayers significantly challenge carbon capture, utilization, and storage (CCUS) and enhance oil recovery (CO2-EOR) processes by creating complex, discontinuous flow units. This study aims to address these challenges through a comprehensive multi-faceted approach integrating geological and microscopic analyses, including core analysis, reservoir petrography, field emission-scanning electron microscopy (FE-SEM), energy dispersive spectroscopy (EDS), and well-logging response analysis, and utilizing three-dimensional (3D) geological modeling. The current comprehensive investigation systematically characterizes interlayer types, petrophysical properties, thickness, connectivity, and their spatial distribution in the reservoir unit. Numerical simulations were conducted to assess the sealing efficiency and the impact of various interlayer materials on CO2 flooding over a 10-year period. Results indicate the presence of petrophysical and argillaceous interlayers, with optimal sealing occurring in petrophysical barriers ≥ 4 m and argillaceous barriers ≥ 1.5 m thick. CO2 leakage occurs through preferential pathways that emerge in a side-to-middle and bottom-to-top direction in interbeds, with multidirectional pathways showing greater leakage at the bottom compared to the upper side within barriers. Increased interlayer thickness constraints CO2 breakthrough but reduces vertical flooding area and production ratio compared to homogeneous reservoirs. Augmented interbed thickness and area mitigate CO2 breakthrough time while constraining gravity override and dispersion effects, enhancing horizontal oil displacement. These novel findings provide crucial insights for optimizing CCUS-EOR strategies in LPSR, offering a robust theoretical foundation for future applications and serving as a key reference for CO2 utilization in challenging geological settings of LPSR worldwide.
Review of Design Schemes and AI Optimization Algorithms for High-Efficiency Offshore Wind Farm Collection Systems
Authors: Wang Yuchen , Song Dongran , Wang Li , Huang Chaoneng , Huang Qian , Yang Jian , Evgeny Solomin
Published: January 2025

The offshore wind power sector has witnessed exponential growth over the past decade, with large-scale offshore wind farms grappling with the challenge of elevated construction and maintenance expenses. Given that the collector system constitutes a substantial part of the investment cost in wind farms, the design and optimization of this system are pivotal to enhancing the economic viability of offshore wind farms. A thorough examination of collector system design and optimization methodologies is essential to elucidate the critical aspects of collector system design and to assess the comparative merits and drawbacks of various optimization techniques, thereby facilitating the development of collector systems that offer superior economic performance and heightened reliability. This paper conducts a review of the evolving trends in collector system research, with a particular emphasis on topology optimization models and algorithms. It juxtaposes the economic and reliability aspects of collector systems with varying topologies and voltage levels. Building on this foundation, the paper delves into the optimization objectives and variables within optimization models. Furthermore, it provides a comprehensive overview and synthesis of AI-driven optimization algorithms employed to address the optimization challenges inherent in offshore wind farm collector systems. The paper concludes by summarizing the existing research limitations pertaining to offshore wind farm collector systems and proposes innovative directions for future investigative endeavors. The overarching goal of this paper is to enhance the comprehension of offshore wind farm collector system design and optimization through a systematic analysis, thereby fostering the continued advancement of offshore wind power technology.
Comparative Analysis on the Characteristics of Liquid Lead and Lead–Bismuth Eutectic as Coolants for Fast Reactors
Authors: Xing Mian , Fan Jihong , Shen Feng , Lu Daogang , Li Linsen , Yu Hui , Fan Jin
Published: January 2025

With the increasing global demand for sustainable energy, the importance of advanced nuclear technologies, such as fourth-generation reactors, has become increasingly prominent. Fourth-generation reactors often use non-water coolants, among which liquid lead and lead–bismuth eutectics (LBEs) are highly promising, making lead-cooled fast reactors (LFRs) a popular area of research internationally. On the basis of extensive analysis and comparison conducted previously, this article summarizes and analyzes the advantages, problems, and differences in lead and LBE as LFR coolants. Overall, both lead and LBE have excellent neutronic characteristics, good heat transfer performance, and chemical inertness, and make LFRs highly efficient in nuclear fuel utilization, inherently safe, and relatively simplified in design. However, both of them corrode materials severely and produce highly toxic 210Po, which are the problems that need to be considered for further engineering development. Moreover, LBE has a lower melting point, which allows a wider temperature range and lower insulation requirements in its design, making it easier to achieve engineering and miniaturization under the same conditions. Lead has a lower cost, is less corrosive to materials, and produces less 210Po, which makes it a more ideal coolant for future development.
Carbon Footprint Analysis of Distribution Network Transformers Based on Life Cycle Assessment
Authors: Wang Yanpeng , Zhang Haiyang , Zhou Erbiao , Xie Lirong , Li Juan
Published: January 2025

Transformers in the distribution network must have their carbon emissions analyzed in order to meet the “double carbon” goal. Using an oil-immersed distribution transformer as the research object, this paper develops a “cradle-to-grave” carbon accounting model. A life cycle assessment (LCA)-based methodology is proposed to account for carbon emissions and total energy demand over the full life cycle and further analyze the carbon emissions within each stage. A case study is presented using data from a 200 kVA transformer manufactured by a transformer plant in Xinjiang. According to the data, there are 112.18 t of carbon emissions and 798.21 GJ of total energy consumed. Distribution network transformers have carbon emissions of 282 kg, 782 kg, 122.96 kg, 11,079.64 kg, and −88.6 kg throughout the manufacture and manufacturing stage, transportation stage, construction and installation stage, operation stage, and waste recycling stage, respectively. There are 4.12 GJ, 9.06 GJ, 1.34 GJ, 785.97 GJ, and −0.28 GJ in total energy requirements. According to the study, which covered 99.03% of the entire life cycle, the operation stage had the largest percentage of carbon emissions. In addition to streamlining the production process and using more energy-efficient equipment, the waste recovery stage successfully decreased the environmental impact of carbon emissions. Sensitivity analysis shows that the silicon steel sheet and transformer oil has a significant impact on the carbon emissions of distribution network transformers during the life cycle, and the higher the grade of silicon steel sheet, the lower the carbon emissions, and the synthetic ester transformer oil has the most comprehensive performance and the lowest carbon emissions.
Analysis and Evaluation of a TCO2 Electrothermal Energy Storage System with Integration of CO2 Geological Storage
Authors: Stoikos Aristeidis , Kyriakides Alexios-Spyridon , Carneiro Júlio , Behnous Dounya , Gravanis Georgios , Tsimpanogiannis Ioannis N. , Seferlis Panos , Voutetakis Spyros
Published: January 2025

The goal to reduce greenhouse gas emissions necessitates the increase in RES utilization. To accomplish this goal, energy storage solutions are required. This study investigates the performance of an electrothermal energy storage system, the CEEGS, which consists of an above-surface energy storage system and a below-surface geological system. The focus is set initially on the analysis of the above-surface system to gain insight into its operation. Then, steady-state optimization is utilized to identify the operating conditions that maximize the system performance, before investigating the below-surface system integration and the effect that the geological conditions have on system performance. For the above-surface system, efficiency (ηR-T) up to 46.89% is calculated. For systems integrated with CO2 geological storage, two case studies are examined, presenting higher ηR-T compared to the above-surface system (Case study 1: 50.37%, Case study 2: 67.39%). The optimal ηR-T for Case study 2 is achieved for higher injection/production pressures and temperatures conditions and minimal ΔP and ΔT between injection and production. In conclusion, it is the selection of the geological storage conditions that contribute the most to the optimal ηR-T; thus, the selection of the appropriate geological storage formation is imperative.
Dynamics of Annual Cone Crops of Siberian Fir (Abies sibirica Ledeb.) in Conifer Forests of Pre-Ural Region (Russia) Based on 47 Years of Observations
Authors: Davydychev Alexandr , Zaitsev Gleb
Published: January 2025

Because seed reproduction is the sole means of reproduction available for coniferous tree species, it plays a crucial role in determining the species’ ecological adaptability and the competitiveness of species under specific biocoenosis conditions. Therefore, the primary goal of studying the periodicity and cyclical production of cones (seeds) is to forecast the peaks and recessions of natural renewal in various forest ecosystems. The crop dynamics of Siberian fir (Abies sibirica Ledeb.) cones in three mature natural conifer forests in the broad-leaf coniferous forest subzone of the pre-Ural region (Russia) was analysed based on long-term observations spanning 47 years. The conifer forests investigated had a considerable deficit of cones (seeds) for natural renewal under the forest canopy. High cone crops occur every 10 years or twice a decade under most favourable conditions. However, cone production has no distinct periodicity, and it is impossible to forecast a high crop of cones based only on long-term data. The levels of fir crop cones were clearly correlated with climate factors. Late winter climate in previous (weak and moderate positive correlation) and current years (weak and moderate negative correlation) affected the fir cone crop. High and even average fir cone crops occur spontaneously with no discernible pattern. In coniferous forests, cone crops are highest on slopes with high insolation levels and on sustainably wet soils.
Using a Phenocamera to Monitor Urban Forest Phenology
Authors: Zhang Kaidi , Bai Jinmiao , Gao Jun
Published: January 2025

Under global climate change, fragmented urban vegetation is more susceptible to the external environment, and changes in vegetation phenology are one of the most apparent responses. In this study, phenological camera (phenocamera) photo data, Klosterman curve fitting, and a Gu model were employed to explore the phenological characteristics of an urban forest at different levels within different species. Differences between species and groups regarding the upturn date (UD), the stabilization date (SD), the downturn date (DD), the recession date (RD), and the length of the growing season (LOS) are displayed in detail. We found that the UD of Cinnamomum camphora groups began in late April (day of year 108th), the SD appeared in early May (121st), and the DD started in early October (283rd) and ended in late October (293rd), with an average LOS of 185 days. The phenological characteristics of the Cinnamomum camphora and Bischofia polycarpa groups differed significantly. The average LOS of Bischofia polycarpa was 47 days longer than that of Cinnamomum camphora. Between Cinnamomum camphora individuals and group levels, differences in the UD and the SD were not obvious, while differences in the DD, the RD, and the LOS were large (LOS > RD > DD). The LOS of Cinnamomum camphora was longer on the individual scale (209 days), while the average LOS on the group scale was 185 days. In conclusion, our results reflect the more refined quantitative results of urban vegetation phenology and will help to elucidate urban vegetation phenological changes, which has important theoretical and practical significance for future urban forest management practices.
Land Use/Change and Local Population Movements in Stone Pine Forests: A Case Study of Western Türkiye
Authors: Erkan Buğday Seda , Buğday Ender , Okan Taner , Köse Coşkun , Özden Sezgin
Published: January 2025

One of the important distribution areas of stone pine (Pinus pinea L.), a native tree species of the Mediterranean Basin in Türkiye, is the Kozak Basin. Pine nut production plays an important role in the livelihood of the rural people of the Kozak Basin. However, in recent years, as a result of mining activities, climate change, and damage caused by the alien invasive species, the western conifer seed bug (Leptoglossus occidentalis Heidemann 1910 (Hemiptera; Coreidae), the decrease in cone and seed yield in the basin has reached significant dimensions. This process has caused the local people’s income sources to decrease. In this study, land use and land cover (LULC) changes and population changes in the Kozak Basin were discussed during the process, where changing forest land functions, especially economic effects, triggered vulnerable communities due to various factors such as climate change and insect damage. LULC classes of the Kozak Basin and their changes in three time periods are presented using the maximum likelihood method. In addition, the exponential population growth rates of the local people in three different time periods were calculated and these rates were interpolated in the spatial plane with a Kriging analysis. In conclusion, the responses of vulnerable communities to the cone and seed yield decline in the Kozak Basin are manifested by LULC changes and migration from the basin. Therefore, in the management of P. pinea areas, the creation of regulations within the framework of sustainability understanding regardless of ownership difference, stakeholder participatory approach management, close monitoring of ecological events occurring in the basin, awareness of vulnerable communities, and alternative livelihoods can be supported.
Roles of Spatial Distance, Habitat Difference, and Community Age on Plant Diversity Patterns of Fragmented Castanopsis orthacantha Franch. Forests in Central Yunnan, Southwest China
Authors: Wang Xinpei , Zhang Qiuyu , Yang Tao , Tian Xi , Zhang Ying , Shen Zehao
Published: January 2025

The semi-humid evergreen broadleaved forest (SEBF) is the zonal vegetation type of western subtropical regions in China. Under human and natural disturbance, the area of SEBFs is severely shrinking, with remaining fragments scattered across mountains of the Central Yunnan Plateau. To explore the mechanisms of community assembly and species maintenance in the severely fragmented SEBFs, we selected three sites—Jinguangsi Provincial Nature Reserve, Huafoshan Scenic Area, and Qiongzhusi Forest Park—across the range of this vegetation type, and sampled a total of 42 plots of forest dominated by Castanopsis orthacantha Franch., the most widely distributed community type of SEBFs. We compared the species richness and composition of the communities of different age classes, employed the net relatedness index to characterize the phylogenetic structure of communities, and used Mantel tests and partial Mantel tests to quantify the impacts of spatial distance, age class, and habitat factors (including climate, topography, and soil) on species turnover across different spatial scales (i.e., intra- and inter-site) for trees, shrubs, and herbs, respectively. The results indicated the following: (1) In the young stage, the C. orthacantha communities exhibited a species richness statistically lower than those in middle-aged and mature communities. Notably, the difference in species richness among age classes was merely significant for shrub and herb species. Moreover, the phylogenetic structure changed towards over-dispersion with increasing community age. (2) The age class of the community played a pivotal role in determining taxonomic β diversity in the tree layer, while climate and soil factors significantly influenced β diversity in the shrub and herb layers of the communities. (3) Environmental filtering emerged as the predominant force shaping community assembly at the intra-site scale, whereas spatial distance was the primary determinant at the inter-site scale. Meanwhile, dispersal limitation versus biological interaction seemed to dominate the community dynamics of the C. orthacantha communities in the early versus middle and old ages, respectively. Our results highlight the variability in community assembly processes across different spatial and temporal scales, providing insights into the priority of the conservation and restoration of severely degraded zonal SEBFs. Expanding research to broader scales and other SEBF types, as well as considering the impacts of climate change and human activities, would provide further insights into understanding the mechanisms of community assembly and effective conservation strategies.
Evolutionary Loss of Acid-Secreting Stomach and Endoskeletal Ossification: A Phosphorus Perspective
Authors: Sugiura Shozo H.
Published: January 2025

Phosphorus is essential for all life forms on Earth, including eukaryotes (animals, plants, fungi, and protists), prokaryotes (bacteria and archaea), and even viruses. Its significance stems primarily from its presence in nucleic acids (DNA and RNA), where it forms a crucial part of the backbone structure. Beyond this, phosphorus plays a pivotal role in countless biological processes, supporting life at its core. In this article, the author explores the possible causes of stomach loss, focusing specifically on phosphorus absorption, vertebral calcification, and reproduction. Large gonads, characteristic of external fertilization, require substantial amounts of phosphorus for gametogenesis in both females and males, particularly in the latter. This demand has driven the evolutionary calcification of vertebrae, which serve as a phosphorus storage organ. Moreover, to efficiently absorb phosphorus from their diets, shellfish-eating fish have evolved to either lose their stomachs or reduce gastric acidity, minimizing the formation of calcium phosphate precipitates in the intestine.
Assessment of Deep Neural Network Models for Direct and Recursive Multi-Step Prediction of PM10 in Southern Spain
Authors: Gómez-Gómez Javier , Gutiérrez de Ravé Eduardo , Jiménez-Hornero Francisco J.
Published: January 2025

Western Europe has been strongly affected in the last decades by Saharan dust incursions, causing a high PM10 concentration and red rain. In this study, dust events and the performance of seven neural network prediction models, including convolutional neural networks (CNN) and recurrent neural networks (RNN), have been analyzed in a PM10 concentration series from a monitoring station in Córdoba, southern Spain. The models were also assessed here for recursive multi-step prediction over different forecast periods in three different situations: background concentration, a strong dust event, and an extreme dust event. A very important increase in the number of dust events has been identified in the last few years. Results show that CNN models outperform the other models in terms of accuracy for direct 24 h prediction (RMSE values between 10.00 and 10.20 μg/m3), whereas the recursive prediction is only suitable for background concentration in the short term (for 2–5-day forecasts). The assessment and improvement of prediction models might help the development of early-warning systems for these events. From the authors’ perspective, the evaluation of trained models beyond the direct multi-step predictions allowed to fill a gap in this research field, which few articles have explored in depth.
Effects of Physical Exercise on MuRF-1/TRIM63 mRNA Expression in Humans: A Systematic Review
Authors: Fagundes Leonardo , Pimenta Eduardo , da Costa Varley
Published: January 2025

Background/Objectives: Muscle-specific RING finger protein 1 (MuRF-1) is a pivotal regulator of muscle protein breakdown, an essential process for post-exercise muscle adaptation. This systematic review aimed to evaluate the effects of physical exercise on MuRF-1 mRNA expression in humans. Methods: A literature search was conducted in PubMed, Scopus, Cochrane Library, Google Scholar, and Web of Science following the PRISMA guidelines. The search was limited to studies published from 1 January 2001 to 1 December 2024. The inclusion and exclusion criteria were defined using the PICOS strategy. Two investigators independently performed the study selection, data extraction, and assessment of methodological quality, with any disagreements resolved by a third investigator. The PEDro scale was used to evaluate the risk of bias. Results: Forty-six studies met the eligibility criteria and were included. The findings evidenced that physical exercise significantly modulates MuRF-1 mRNA expression in humans. Resistance exercise induces transient increases, typically peaking between 1 and 4 h, whereas endurance exercise elicits similar responses within 40 min to 4 h post-exercise. Combined exercise protocols that include resistance and endurance exercises significantly increased MuRF-1 mRNA expression at 3 h post-exercise. The effects of physical exercise on MuRF-1 mRNA expression are influenced by factors such as exercise order, intensity, contraction mode, age, sex, and fitness level. Conclusions: This systematic review shows that MuRF-1 mRNA expression is significantly modulated by physical exercise in humans and is sensitive to different exercise modalities. These findings suggest that this key protein involved in muscle protein breakdown and turnover is essential for exercise-induced adaptations, contributing to skeletal muscle recovery and remodeling after exercise.
The GA2ox Gene Family in Solanum pennellii: Genome-Wide Identification and Expression Analysis Under Salinity Stresses
Authors: Ruan Xianjue , Zhang Min , Ling Tingting , Hei Xiaoyan , Zhang Jie
Published: January 2025

Background: GA 2-oxidases (GA2oxs), a class of enzymes, inhibit the biosynthesis of bioactive gibberellins (GAs) in plants. The GA2 oxidase gene is crucial for regulating the passivation process of active GA and is widely involved in hormone signaling and abiotic stress processes. Objective/Methods: To examine the potential effects of the GA2 oxidase gene on Solanum pennellii, one of the important stress-tolerance wild species of tomato, a systematic analysis was performed to study the structure, phylogenetic tree, genomic locus, and upstream cis-regulatory elements of SpGA2ox genes. The expression patterns of the SpGA2ox family in various tissues were analyzed on the basis of published RNA-seq data, and the changes in SpGA2ox expression in the leaves of seedlings were detected under salinity stress and GA treatment by real-time fluorescence quantitative PCR. Results: We identified nine SpGA2ox genes in S. pennellii. They were located on chromosomes 1, 2, 4, 7, 8, and 10. The SpGA2ox family was clearly divided into three groups through phylogenetic relationship analysis, namely, five in C19-GA2ox class I, one in C19-GA2ox class II, and three in C20-GA2ox class. And cis-element analysis provided the basis for understanding the function of growth, development, hormones, and abiotic stress of GA2ox genes in S. pennellii. The expression patterns of the SpGA2ox family were different in three classes, and SpGA2ox1 exhibited higher expression levels in the stem compared to other tissues. The expression levels of all SpGA2ox genes increased significantly under salt stress and decreased by treatment with GA3. With the largest changes in relative expression levels, SpGA2ox3 and SpGA2ox8 might exert key effects on the regulation of GA synthesis and the response to salt stress. Conclusions: The present study may be instrumental for further investigation into the impact of SpGA2oxs on responses to abiotic stress and provide potential targets for the genetic improvement of S. pennellii.
Col5a3 Likely Promotes Adipogenesis of 3T3-L1 Through Oxidative Phosphorylation
Authors: Wen Sheng , Ren Ruimin , Yuan Hanhao , Gao Ning , He Jun , Zhang Yuebo
Published: January 2025

Background: A recent study reported that a deficiency of Col5a3 reduces dermal fat. However, the regulatory mechanism of the Col5a3 gene on adipose deposition remains unclear. Methods: In this study, we assessed the effects of Col5a3 interference on the proliferation and differentiation of 3T3-L1 preadipocytes through CCK-8, EdU staining, cell cycle detection, RT-qPCR, Western blot, a triglyceride assay, and Oil Red O staining. RNA-seq was then performed on differentiated adipocytes to identify key differentially expressed genes (DEGs) and signaling pathways. Results: Col5a3 interference significantly promoted the proliferation of 3T3-L1 cells but inhibited their differentiation. RNA-seq analysis identified 368 DEGs, with the most significant enrichment observed in the oxidative phosphorylation pathway. Conclusions: This study demonstrates the regulatory role of Col5a3 in the proliferation and differentiation of preadipocytes, identifying various genes regulated by Col5a3 in adipogenesis. We speculate that Col5a3 may influence adipogenesis through the oxidative phosphorylation pathway in 3T3-L1 cells. The findings help gain a better understanding of the molecular mechanisms underlying fat deposition and obesity-related metabolic diseases.
Development of a New Method for Debris Flow Runout Assessment in 0-Order Catchments: A Case Study of the Otoishi River Basin
Authors: Akbar Ahmad Qasim , Mitani Yasuhiro , Nakanishi Ryunosuke , Honda Hiroyuki , Taniguchi Hisatoshi
Published: January 2025

Debris flows are rapid, destructive landslides that pose significant risks in mountainous regions. This study presents a novel algorithm to simulate debris flow dynamics, focusing on sediment transport from 0-order basins to depositional zones. The algorithm integrates the D8 flow direction method with an adjustable friction coefficient to enhance the accuracy of debris flow trajectory and deposition modeling. Its performance was evaluated on three real-world cases in the Otoishi River basin, affected by rainfall-induced debris flows in July 2017, and the Aso Bridge landslide triggered by the 2016 Kumamoto Earthquake. By utilizing diverse friction coefficients, the study effectively captured variations in debris flow behavior, transitioning from fluid-like to more viscous states. Simulation results demonstrated a precision of 88.9% in predicting debris flow paths and deposition areas, emphasizing the pivotal role of the friction coefficient in regulating mass movement dynamics. Additionally, Monte Carlo (MC) simulations enhanced the identification of critical slip surfaces within 0-order basins, increasing the accuracy of debris flow source detection. This research offers valuable insights into debris flow hazards and risk mitigation strategies. The algorithm’s proven effectiveness in simulating real-world scenarios highlights its potential for integration into disaster risk assessment and prevention frameworks. By providing a reliable tool for hazard identification and prediction, this study supports proactive disaster management and aligns with the goals of sustainable development in regions prone to debris flow disasters.
Assessment of Online and Onsite Information on Heritage and Its Presentation in Slovak Geoparks
Authors: Pramuková Kristína , Štrba Ľubomír
Published: January 2025

Geoparks, via the ABC geotourism concept, represent ideal places to effectively combine natural and cultural heritage, allowing visitors to better understand the country’s history and development. In this way, the sustainable development of local communities is promoted and contributes to the protection of the unique natural and cultural values of the region. Proper presentation of natural and cultural heritage in a geopark is key to developing soft forms of tourism, e.g., geotourism or ecotourism. The paper focuses on Slovak geoparks with a special emphasis on analysing the information availability and presentation of both natural and cultural heritage in these areas from the perspective of potential geopark visitors. Based on the analysis and evaluation of defined categories, including websites, social media platforms, mobile applications, information centres, brochures, educational trails, information panels, and guided tours, results show that, in general, existing geoparks’ promotional materials can be considered the best source of information on heritage and its presentation. On the other hand, the most significant identified shortcomings include insufficient use of mobile applications, a lack of educational activities, and the relatively low quality of existing educational trails. However, considerable differences exist in information access and heritage presentation in Slovak geoparks. Based on the findings, specific measures are suggested as potential solutions to enable the appropriate and correct presentation of heritage in the territories of Slovak geoparks. Their practical application will contribute to the development of Slovak geoparks, increase awareness of heritage located in the areas of individual geoparks, and provide a better understanding of the values of this heritage by the wider public.
High-Detail 3D Reconstruction and Digital Strategies for the Enhancements of Archaeological Properties in Museums
Authors: Bitelli Gabriele , Forte Anna , Tini Maria Alessandra , Belfiori Francesco , Tirincanti Andrea
Published: January 2025

In recent years, increasing attention has been directed toward the application of digitization through geomatic-based technologies for museum assets. These powerful tools have proven valuable in assisting museums in the dissemination of cultural heritage. Additionally, museums around the world are implementing strategies to improve the accessibility of their assets by involving the use of 3D digital reconstruction. The 3D high-precision survey is employed in several fields to scan objects with a geometrical accuracy up to the micrometer level. These technologies come into play when dealing with detailed surfaces and complex geometry, as often occurs with cultural heritage assets. This paper presents a set of experiences in high-precision 3D scanning and post-processing operations in the framework of a project at the Territory Museum of Riccione (Italy). The 3D data acquisition methodology conducted and digital operations are reported on for some of the scanned artifacts.
Evaluating and Classifying Apple Brand Names: Criteria and Trends over a Century
Authors: Arthur Jennifer , Bejaei Masoumeh
Published: January 2025

Globally, fruit breeders and marketers create trademarked brand names for new varieties which can be protected indefinitely, extending returns on breeding investments. Brand names help promote and differentiate fruits, acting as quality signifiers and simplifying consumer choices. This study introduces brand name evaluation criteria, identifies name classification frameworks, and audits North American and international apple names, covering plant varietal denominations and both trademarked and non-trademarked names. Key criteria for a good brand name include trademarkability, memorability (simplicity, distinctiveness, meaningfulness, sound associations, mental imagery, and emotional impact), and marketability (appropriate brand image and marketing support). Two modified frameworks were used to classify apple names. The audit revealed that the prevalence of using ‘Namesake’ names associated with ‘Real or Fictitious Persons/Places’ has significantly decreased (North America: 4.9 times since the 1920s). The use of ‘Compounding’ names has remained frequent (North America: 25% in the 2020s). Some categories have seen an increased usage as follows: ‘Product Unrelated—Metaphoric’ (North America: 17.5 times) and ‘Unusual Spellings’ (not recorded until the 1980s, recently 6%) names. Since the 1960s, the following categories have remained consistent: ‘Sensory’, ‘Product/Benefit Related’, ‘Product Unrelated—Non-Metaphoric’, and ‘Blending’ names. The findings support fruit and vegetable industries in distinguishing their products through effective brand naming.
Consequences of Hospital Closures for the Health Insurance Industry in the United States
Authors: Gruessner Rainer W. G.
Published: January 2025

Hospital and health system bankruptcies and closures continue to rise in the United States. They are troubling news not only for patients and communities but also for insurance companies. Hospital closures often lead to higher costs for insurers due to increased claim denials, delayed payments, reduced provider network and access to care, higher out-of-network costs, and a disruption of our healthcare system. These factors ultimately impact the health insurance companies’ bottom lines as well as their ability to manage patient care effectively with the risk of causing customer/patient dissatisfaction. Insurance companies can help prevent hospital closures, especially in rural areas, by implementing some of the following mechanisms: timely and adequate payments; improved patient-centric payment systems; and standby capacity payments to cover minimum fixed costs. Such early strategic investments have the potential to offset the higher costs for insurance companies associated with hospital closures and improve the sustainability of the U.S. healthcare system.
Positioning the Sense of Coherence (SOC) in Disaster Recovery Planning and Design
Authors: Ojo Cornelius Ayodele , Rider Traci Rose
Published: January 2025

“Whence the strength?” This compelling question, posed by Aaron Antonovsky in 1979, sets the stage for understanding the role of sense of coherence (SOC), a human-focused psychosocial concept, in fostering resilience amidst escalating climate-induced disasters such as hurricanes, floods, and earthquakes. This paper is the first step in a larger research agenda aimed at exploring how the human experience of disasters, guided by Antonovsky’s SOC framework, can be better integrated into disaster recovery planning and design, laying the theoretical foundation for subsequent studies. This paper examines which supports help people stay resilient during disasters, focusing on the role of SOC in recovery. By integrating Antonovsky’s SOC concept with Hobfoll’s Conservation of Resources (COR) theory, it also draws from other published works on stress and disaster recovery to explore how disaster recovery planning and design can be improved. The findings indicate that the post-disaster recovery phase presents a critical window for implementing policies that address vulnerabilities in disaster-prone communities and enhance long-term resilience. Methodologically, this paper advocates for an interdisciplinary approach, suggesting that both quantitative and qualitative insights are vital for capturing human experiences in disaster contexts. Ultimately, this paper presents a framework for integrating human dimensions of resilience into disaster recovery planning.