bluuebunny/crossref_metadata_2025 huggingface dataset:
Rapid Identification of Constituents in Polygonatum cyrtonema Hua Using UHPLC-Q-Exactive Orbitrap Mass Spectrometry
Authors: Yang Qingrui , Ma Jieyao , Yan Shenlong , Yang Suyu , Fan Lingxuan , Huo Yanghui , Gao Bowen , Cai Wei
Published: February 2025

Polygonatum cyrtonema Hua (PCH) belongs to the genus Polygonatum Mill of the Liliaceae family. As a traditional tonic herb, the rhizome of PCH has been widely used as a functional food and traditional Chinese medicine, mainly for the treatment of spleen and lung Qi deficiency, essence and blood deficiency, internal heat, and thirst. To further elucidate the unknown chemical composition of PCH, this study presents an analytical strategy using macroporous resin (D101) column chromatography combined with ultra-high-performance liquid chromatography-Q-Exactive Orbitrap mass spectrometry (UHPLC-Q-Exactive Orbitrap MS) for the characterization of PCH’s chemical composition. The PCH extracts were separated via D101 resin column chromatography in conjunction with reverse phase liquid chromatography (C18 column). They were then analyzed by Q-Exactive Orbitrap mass spectrometry utilizing parallel reaction monitoring (PRM) mode, diagnostic fragment ions (DFIs), and neutral loss (NL). A total of 153 compounds were identified through comparing the mass spectrometry data with standard references, the published literature, and public databases, including 40 alkaloids, 43 organic acids, 30 flavonoids, 17 saponins, and 23 other compounds; The result expands PCH’s chemical composition, enhancing our understanding of its therapeutic effects and quality assurance. At the same time, the strategy has the potential to show a wide range of applications in the chemical characterization of different samples.
Mediterranean Diet and Quality of Life in Adults: A Systematic Review
Authors: Godos Justyna , Guglielmetti Monica , Ferraris Cinzia , Frias-Toral Evelyn , Domínguez Azpíroz Irma , Lipari Vivian , Di Mauro Andrea , Furnari Fabrizio , Castellano Sabrina , Galvano Fabio , Iacoviello Licia , Bonaccio Marialaura , Grosso Giuseppe
Published: February 2025

Background/Objectives: With the increasing life expectancy and, as a result, the aging of the global population, there has been a rise in the prevalence of chronic conditions, which can significantly impact individuals’ health-related quality of life, a multidimensional concept that comprises an individual’s physical, mental, and social wellbeing. While a balanced, nutrient-dense diet, such as Mediterranean diet, is widely recognized for its role in chronic disease prevention, particularly in reducing the risk of cardiovascular diseases and certain cancers, its potential benefits extend beyond these well-known effects, showing promise in improving physical and mental wellbeing, and promoting health-related quality of life. Methods: A systematic search of the scientific literature in electronic databases (Pubmed/Medline) was performed to identify potentially eligible studies reporting on the relation between adherence to the Mediterranean diet and health-related quality of life, published up to December 2024. Results: A total of 28 studies were included in this systematic review, comprising 13 studies conducted among the general population and 15 studies involving various types of patients. Overall, most studies showed a significant association between adherence to the Mediterranean diet and HRQoL, with the most significant results retrieved for physical domains of quality of life, suggesting that diet seems to play a relevant role in both the general population and people affected by chronic conditions with an inflammatory basis. Conclusions: Adherence to the Mediterranean diet provides significant benefits in preventing and managing various chronic diseases commonly associated with aging populations. Furthermore, it enhances the overall health and quality of life of aging individuals, ultimately supporting more effective and less invasive treatment approaches for chronic diseases.
Nutrition Knowledge, Food Insecurity, and Dietary Biomarkers: Examining Fruit and Vegetable Intake Among College Students
Authors: Sklar Emily , Radtke Marcela D. , Steinberg Francene M. , Medici Valentina , Fetter Deborah S. , Scherr Rachel E.
Published: February 2025

Objectives: Food insecurity among college students, combined with limited nutrition knowledge and barriers to healthy eating, significantly impacts diet quality and fruit and vegetable intake. Efforts to address these issues are further complicated by the challenges of accurately and efficiently collecting dietary data in research settings. This study aimed to explore the relationship between nutrition knowledge and fruit/vegetable intake using skin, plasma, and dietary carotenoid levels as biomarkers. Methods: Undergraduate and graduate students aged 18 years and older (n = 166) from a California public university were recruited. The sample was predominately female (n = 133, 80%), with 30 males (18%) and three individuals (2%) identifying as non-binary. Food security was assessed using the USDA’s 10-item Adult Food Security Survey Module and nutrition knowledge through a validated questionnaire. Biological data included blood samples and skin carotenoid measurements (Veggie Meter®). Dietary quality (HEI-2015) and carotenoid intake were assessed through Diet ID™, a photo-based assessment tool. Results: The mean nutrition knowledge scores were 36.55 ± 8.83 out of 58 points, and the mean skin carotenoid score was 307.07 ± 110.22. Higher knowledge scores were associated with increased plasma carotenoids, HEI-score, and Diet ID™ total carotenoids. Food security classification did not significantly impact nutrition knowledge but did influence HEI scores and skin carotenoid levels, with very low food security linked to poorer diet quality and lower carotenoid levels. Conclusions: Nutrition knowledge may serve as a significant predictor of fruit and vegetable intake in university students. Despite this correlation, the impact of overall diet quality is potentially hindered by an individual’s food security status. Therefore, while knowledge is critical, addressing food insecurity is essential for enhancing diet quality among college students.
Phenomenological Remarks on Love-Eros
Authors: Romano Claude
Published: February 2025

This article attempts to discuss the phenomenological status of love considered as an erotic phenomenon. Is care a kind of desire? A will? A modality of attention? A feeling? Is it rather an existential attitude towards its object? And in this case, how to understand such an attitude? Does Heidegger’s concept of Fürsorge exhaust its nature? It seems necessary to address a specific limitation of fundamental ontology, the equivalency between care and care for oneself, to make room for the possibility of a primary (and not derived) care for another (and also a primary anxiety for another) that seems hardly understandable in Heidegger’s terms. But it also seems necessary to supplement the concept of care with two other “existentials”: unconditional trust and being carried. The article finally examines love as an experience.
Fatty Acid ABCG Transporter GhSTR1 Mediates Resistance to Verticillium dahliae and Fusarium oxysporum in Cotton
Authors: Cheng Guanfu , Li Xiuqing , Fernando W. G. Dilantha , Bibi Shaheen , Liang Chunyan , Bi Yanqing , Liu Xiaodong , Li Yue
Published: February 2025

Verticillium wilt and Fusarium wilt cause significant losses in cotton (Gossypium hirsutum) production and have a significant economic impact. This study determined the functional role of GhSTR1, a member of the ABCG subfamily of ATP-binding cassette (ABC) transporters, that mediates cotton defense responses against various plant pathogens. We identified GhSTR1 as a homolog of STR1 from Medicago truncatula and highlighted its evolutionary conservation and potential role in plant defense mechanisms. Expression profiling revealed that GhSTR1 displays tissue-specific and spatiotemporal dynamics under stress conditions caused by Verticillium dahliae and Fusarium oxysporum. Functional validation using virus-induced gene silencing (VIGS) showed that silencing GhSTR1 improved disease resistance, resulting in milder symptoms, less vascular browning, and reduced fungal growth. Furthermore, the AtSTR1 loss-of-function mutant in Arabidopsis thaliana exhibited similar resistance phenotypes, highlighting the conserved regulatory role of STR1 in pathogen defense. In addition to its role in disease resistance, the mutation of AtSTR1 in Arabidopsis also enhanced the vegetative and reproductive growth of the plant, including increased root length, rosette leaf number, and plant height without compromising drought tolerance. These findings suggest that GhSTR1 mediates a trade-off between defense and growth, offering a potential target for optimizing both traits for crop improvement. This study identifies GhSTR1 as a key regulator of plant–pathogen interactions and growth dynamics, providing a foundation for developing durable strategies to enhance cotton’s resistance and yield under biotic and abiotic stress conditions.
Invasive Plants as a Source of Polyphenols with High Radical Scavenging Activity
Authors: Purmalis Oskars , Klavins Linards , Niedrite Evelina , Mezulis Marcis , Klavins Maris
Published: February 2025

The wide occurrence and expansive nature of invasive plant species are worldwide problems because these plants by their competitive character can lead to the loss of biodiversity. As a result, they significantly disrupt ecosystems, create economic damage and threats to human health, and diminish the quality of recreational resources. Therefore, sustainable, bio-based solutions are needed for their control, focusing on the utilization of their biomass after eradication. To better understand the potential application possibilities of invasive plants and their potential role in bioeconomy, species such as Lupinus polyphyllus—Lindl., Impatiens glandulifera Royle, Heracleum sosnowskyi Manden, Solidago canadensis L., Echinocystis lobata (Michx.), and Elodea canadensis Michx. were studied. These plants are not only widely spread but also form dense mono-stands and produce substantial amounts of biomass, which provides more options for their harvesting. In particular, their composition was analysed to assess the feasibility of their use for bioactive compound extraction. The amount of total polyphenols and flavonoids was determined in various parts of the studied invasive plants, and their corresponding radical scavenging activities were determined using DPPH, ABTS, FRAP and CUPRAC. The studied invasive plants are rich sources of polyphenols, and the highest concentrations were found in Impatiens glandulifera leaves, reaching a concentration of 7.78–11.75 g GAE/100 g DW, but in Lupinus polyphyllus, the highest concentrations of polyphenols were identified in the extracts of the flowers (12.77 g GAE/100 g DW) and leaves (11.88 g GAE/100 g DW) of the plant. Among the various plant parts studied, the leaves and flowers consistently showed the highest concentrations of polyphenols and flavonoids, as well as the greatest antioxidant and radical scavenging activities. These findings underscore the potential of invasive plant biomass as a source of valuable bioactive substances, particularly polyphenols, after the eradication of these invasive species.
Multiscale Mathematical Modeling in Systems Biology: A Framework to Boost Plant Synthetic Biology
Authors: Lucido Abel , Basallo Oriol , Marin-Sanguino Alberto , Eleiwa Abderrahmane , Martinez Emilce Soledad , Vilaprinyo Ester , Sorribas Albert , Alves Rui
Published: February 2025

Global food insecurity and environmental degradation highlight the urgent need for more sustainable agricultural solutions. Plant synthetic biology emerges as a promising yet risky avenue to develop such solutions. While synthetic biology offers the potential for enhanced crop traits, it also entails risks of extensive environmental damage. This review highlights the complexities and risks associated with plant synthetic biology, while presenting the potential of multiscale mathematical modeling to assess and mitigate those risks effectively. Despite its potential, applying multiscale mathematical models in plants remains underutilized. Here, we advocate for integrating technological advancements in agricultural data analysis to develop a comprehensive understanding of crops across biological scales. By reviewing common modeling approaches and methodologies applicable to plants, the paper establishes a foundation for creating and utilizing integrated multiscale mathematical models. Through modeling techniques such as parameter estimation, bifurcation analysis, and sensitivity analysis, researchers can identify mutational targets and anticipate pleiotropic effects, thereby enhancing the safety of genetically engineered species. To demonstrate the potential of this approach, ongoing efforts are highlighted to develop an integrated multiscale mathematical model for maize (Zea mays L.), engineered through synthetic biology to enhance resilience against Striga (Striga spp.) and drought.
Life Prediction of Penstock Based on Strength Simulation and Sediment Wear Test
Authors: Peng Liang , Pang Jiayang , Zhou Ziyao , Wang Haiqi , Li Shenhui , Xiang Wenping , Yi Xutao , Liu Xiaobing
Published: February 2025

A hydropower station, which has been in operation for over 50 years, has a penstock located in the plant’s open pipe section. Recently, concerns have been raised regarding the potential risks to the penstock’s safe operation due to wall thinning caused by abrasion. A series of stress tests, strength mathematical model analysis, and sediment erosion tests were performed on the penstock during turbine load rejection events. A stress and strain monitoring system for the steel pressure pipe was developed, enabling real-time monitoring and providing a warning function. The current wall thickness of the steel pressure pipe is about 28 mm. The results indicate that a pipe rupture is unlikely under any load rejection scenario. However, if the wall thickness is reduced to around 24 mm, the maximum equivalent stress of the pipe will approach the safety limit during load rejection. The sediment erosion test showed an erosion rate of 3.509 × 10–5 mm/h at an average sediment concentration of 0.63 kg/m3. Assuming no other factors, such as an increase in river sediment concentration, and based on the design specifications of the steel pressure pipe and the annual average sediment concentration of 0.63 kg/m3, it is projected that the open pipe section can be operated for about 19 years before the wall thickness reaches 24 mm. It is recommended that once the wall thickness reaches 24 mm due to erosion or other factors, the pipeline system undergoes maintenance or replacement. The findings provide significant guidance for the operation of similar power stations.
Numerical Simulation and Experimental Testing of the Strength of the Piston-Returning Spherical Joint Pair in a High-Speed Axial Piston Pump
Authors: Li Shaonian , Li Fuhao , Yang Longtao , Wang Kaifeng , Fu Liting
Published: February 2025

The piston-returning spherical joint pair in an axial piston pump continuously bears alternating loads generated by conversions between high and low pressure. If its strength fails, then the axial piston pump cannot function normally. Therefore, we performed numerical simulations and laboratory experiments to investigate the strength properties of the piston-returning spherical joint pair components of an axial piston pump. The results show that when the piston is in the transition area from oil suction to oil discharge, the maximum deformation and stress of the slipper are located on the inner surface of the slipper spherical socket, and the maximum deformation value is 2.523 μm. When the piston is in the transition area from oil discharge to oil suction, the maximum deformation and stress of the slipper are located at the closing part of the slipper, and the maximum deformation value is 1.959 μm. The maximum deformation of the piston at both positions is located at the bottom of the piston, with values of 11.622 μm and 3.8512 μm, respectively. The maximum stress of the piston is located in the neck of the piston. The deformation at the spherical socket closure of the slipper increases with the increase in the pushing–pulling force, and this relationship is nonlinear. The maximum deformation at the spherical socket closure is smallest for the manganese brass slipper, is larger for the tin bronze slipper, and is largest for the ordinary brass slipper. The maximum deformation at the spherical socket closure of the slipper obtained by the strength test is greater than the simulation result. These research conclusions can serve as a reference for the design of piston-returning spherical joint pairs in axial piston pumps.
Latitude as a Factor Influencing Variability in Vegetational Development in Northeast England During the First (Preboreal) Holocene Millennium
Authors: Innes J. B. , Orton C.
Published: February 2025

In the North Atlantic region, the transition from the very cold Lateglacial Stadial (GS-1) to the temperate Holocene was abrupt, with a rapid increase in temperature of several degrees, after which the low-stature, cold-tolerant Stadial vegetation was replaced through the immigration and rapid succession of tall herb, heath, and shrub communities towards Betula woodland of varying density. In northeast England, pollen diagrams on a south to north transect between mid-Yorkshire and the Scottish border show that there was considerable variation in the rate at which postglacial woodland was established in the first Holocene millennium. In mid-Yorkshire’s Vale of York, the development of closed Betula woodland was swift, whereas in north Northumberland, near the Scottish border, Betula presence was low for the first several centuries of the Holocene, with open vegetation persisting and with shrub vegetation dominated mostly by Juniperus. Intermediate locations on the transect show there was a gradient in post-Stadial vegetation development in northeast England, with latitude as a major factor, as well as altitude. Transitional locations on the transect have been identified, where vegetation community change occurred. Vegetation development in the first Holocene millennium in northeast England was spatially complex and diverse, with the climatic effects of latitude the main controlling environmental variable.
Interfaith Dialogue Based on Community Action in Catalonia (Spain): Mapping, Indicators, and Conditions for a Successful Public Policy
Authors: Tarrés Vallespí Anna , Nadeu Maria , Essomba Miquel Àngel
Published: February 2025

This paper shows the outputs of a study on interfaith dialogue based on community action in Catalonia (Spain). Our hypothesis was to check to what extent interfaith dialogue is a facilitator of community action. The study was carried out between 2023 and 2024 in three phases: the first one devoted to mapping the existing practices within the research context; a second one focused on building an indicators system as well as an instrument for monitoring and assessing interfaith dialogue practices based on community action (the questionnaire QCID_CA); and a third one oriented to identify some conditions for success. We implemented qualitative methods: document analysis, individual interviews, focus groups, active participant observation from an ethnographic position, and comparative analysis. We identified the existing interfaith dialogue practices in Catalonia that are developed under community action; we raised some indicators to assess these practices to promote community action within local contexts; we validated the QCID_CA tool by contrasting it with current interfaith dialogue practices; and we confirmed the dialectical relationship between interfaith dialogue and community action. Interfaith dialogue practices based on community action print a real influence on social interactions in the contexts where they take place. This is the reason to implement a public policy based on some principles like knowledge, acknowledgement, action, and transformation. Interfaith dialogue aims to confront individualism and social fragmentation, which may be the prelude to increasing inequalities and exclusion. It also fights against a passive understanding of citizenship by inviting participants to feel like active agents in raising their standards of living. And more: interfaith dialogue based on community action creates alliances between participants to face the lack of spirituality nowadays. Some limitations were raised from the analysis, mostly related to the number of analyzed cases and the instrument’s implementation. Further research should be required to explore that.
Generalized Logistic Function: A Retracker to Improve the Accuracy of Water Level Time Series in Coastal Areas and Lakes
Authors: Amini Arash , Voosoghi Behzad , Khalili Mohammad Amin , Di Martire Diego , Roohi Shirzad , Pirooznia Mahmoud
Published: February 2025

The efficiency of satellite altimetry in monitoring coastal areas and lakes is limited due to the contaminated waveform caused by non-water features included in the satellite footprint. Therefore, to mitigate these limitations, waveforms need to be retracked. In this research, the Generalized Logistic Function (GLF) has been introduced with Analytical (GLFA) and Numerical (GLFN) approaches to retrack the first sub-waveform. The results have been compared with those obtained from on-board retrackers existing in Level-2 altimetry data, the retracking of the full-waveform, the first sub-waveform, and the mean of the sub-waveforms using the threshold retracker. The Level-2 and Level-1B data of the Sentinel-3A (SRAL) mission for passes 141, 700, 244, and 311, respectively, passing over Vättern and Hjälmaren Lakes in Sweden, and 0–2 km distance from the coasts of the Bay of Alcudia and the Northeast Gulf of Bothnia from January 2019 to December 2022, were investigated. The results of the retracking approaches used in this study were evaluated against tide gauge data in terms of RMSE and its improvement percentage. The results demonstrate the superiority of the GLFA over the GLFN in coastal areas, while over lakes, the results are nearly equivalent. The improvement percentages of RMSE for the GLFA and GLFN compared to on-board retrackers, respectively, are as follows: for Vättern Lake, 53% and 58%; for Hjälmaren Lake, 40% and 33%; for the Bay of Alcudia, 81% and 46%; and for the Northeast Gulf of Bothnia, the GLFA shows a 36% improvement, while the GLFN yields results equivalent to on-board retrackers. The GLF has shown better performance compared to other approaches, except for Vättern Lake, which yields results almost equivalent to the first sub-waveform retracking approach. Additionally, the mean of the sub-waveform retracking approach by making use of the threshold algorithm has mostly demonstrated weaker performance compared to other methods.
A New Algorithm for the Global-Scale Quantification of Volcanic SO2 Exploiting the Sentinel-5P TROPOMI and Google Earth Engine
Authors: Dozzo Maddalena , Aiuppa Alessandro , Bilotta Giuseppe , Cappello Annalisa , Ganci Gaetana
Published: February 2025

Sulfur dioxide (SO2) is sourced by degassing magma in the shallow crust; hence its monitoring provides information on the rates of magma ascent in the feeding conduit and the style and intensity of eruption, ultimately contributing to volcano monitoring and hazard assessment. Here, we present a new algorithm to extract SO2 data from the TROPOMI imaging spectrometer aboard the Sentinel-5 Precursor satellite, which delivers atmospheric column measurements of sulfur dioxide and other gases with an unprecedented spatial resolution and daily revisit time. Specifically, we automatically extract the volcanic clouds by introducing a two-step approach. Firstly, we used the Simple Non-Iterative Clustering segmentation method, which is an object-based image analysis approach; secondly, the K-means unsupervised machine learning technique is applied to the segmented images, allowing a further and better clustering to distinguish the SO2. We implemented this algorithm in the open-source Google Earth Engine computing platform, which provides TROPOMI imagery collection adjusted in terms of quality parameters. As case studies, we chose three volcanoes: Mount Etna (Italy), Taal (Philippines) and Sangay (Ecuador); we calculated sulfur dioxide mass values from 2018 to date, focusing on a few paroxysmal events. Our results are compared with data available in the literature and with Level 2 TROPOMI imagery, where a mask is provided to identify SO2, finding an optimal agreement. This work paves the way to the release of SO2 flux time series with reduced delay and improved calculation time, hence contributing to a rapid response to volcanic unrest/eruption at volcanoes worldwide.
Scintillations in Southern Europe During the Geomagnetic Storm of June 2015
Authors: Morozova Anna , Spogli Luca , Barata Teresa , Imam Rayan , Pica Emanuele , Cahuasquí Juan Andrés , Hoque Mohammed Mainul , Jakowski Norbert , Estaço Daniela
Published: February 2025

The sensitivity of Global Navigation Satellite System (GNSS) receivers to ionospheric disturbances and their constant growth are nowadays resulting in an increased concern of GNSS users about the impacts of ionospheric disturbances at mid-latitudes. The geomagnetic storm of June 2015 is an example of a rare phenomenon of a spill-over of equatorial plasma bubbles well north from their habitual. We study the occurrence of small- and medium-scale irregularities in the North Atlantic Eastern Mediterranean mid- and low-latitudinal zone by analysing the amplitude of the scintillation index S4 and rate of total electron content index (ROTI) measurements during this storm. In addition, large-scale perturbations of the ionospheric electron density were studied using ground and space-borne instruments, thus characterising a complex perturbation behaviour over the region mentioned above. The involvement of large-scale structures is emphasised by the usage of innovative approaches such as the ground-based gradient ionosphere index (GIX) and electron density and total electron content gradients derived from Swarm satellite data. The multi-source data allow us to characterise the impact of irregularities of different scales to better understand the ionospheric dynamics and stress the importance of proper monitoring of the ionosphere in the studied region.
A Low-Cost Computational Spectrometer Based on a Trained Sparse Base Matrix
Authors: Gao Yanbo , Pan Hejia , Sheng Yajuan , Wen Rui , Zheng Yuanhao , Yang Lin
Published: February 2025

Computational spectrometers based on coded measurement and computational reconstruction have great application prospects. This paper proposes a computational spectrometer that has a low cost, is easy to implement in hardware, and has high reconstruction accuracy. The proposed computational spectrometer uses low-cost but highly correlated polymethyl methacrylate (PMMA) material as broadband encoding filters, which could affect spectral reconstruction accuracy. To alleviate this issue, we decoupled the sensing matrix, which is the product of the measurement matrix and sparse base matrix, and subsequently optimized the sparse base matrix independently. Enlightened by the neural network method, an over-complete dictionary was trained based on the public spectral dataset, which was used as the required sparse base matrix for reconstruction. Through this method, we achieved good reconstruction results in simulation. In experiments, the spectrometer prototype can achieve a high-resolution spectral measurements, demonstrating the feasibility of a low-cost computational spectrometer based on the trained sparse base matrix.
A Joint Approach for Energy Replenishment and Data Collection with Two Distinct Types of Mobile Chargers in WRSN
Authors: Li Yuxiang , Shao Tianyi , Gao Weixin , Lin Feng
Published: February 2025

Wireless rechargeable sensor networks (WRSNs) address the energy scarcity problem in wireless sensor networks by introducing mobile chargers (MCs) to recharge energy-hungry sensor nodes. Scheduling MCs to charge the recharge nodes is the primary focus of the energy replenishment scheme in WRSNs. The performance of the energy replenishment scheme is significantly influenced by the energy level of each node, which is depends on the data collection scheme employed by the network. Consequently, integrating energy replenishment and data collection has become a new concern in WRSN research. However, the MCs’ workload and travel time increase when data collection and energy replenishment are performed simultaneously, leading to an increase in both the node’s charging delay and data collection delay. In this work, our goal is to reduce the delays in data collection and node charging by proposing a new joint energy replenishment and data collection approach. In the proposed approach, certain nodes in the network are selected as data storage nodes to temporarily store all the collected data based on their geographical locations. A special class of MCs, called MCDs (mobile charger and data collectors), is then assigned the responsibility of charging these data storage nodes and collecting the data stored. Afterwards, the task of recharging the remaining network nodes falls to another type of MC. By combining the capabilities of two distinct MC types, the workload and the travel distance of MCs are reduced. When compared to the conventional joint algorithms, the simulation results demonstrate that the proposed approach successfully decreases the delay it takes to gather data and recharge nodes.
A Survey of Deep Learning-Based Pedestrian Trajectory Prediction: Challenges and Solutions
Authors: Jiang Jiaming , Yan Kai , Xia Xindong , Yang Biao
Published: February 2025

Pedestrian trajectory prediction is widely used in various applications, such as intelligent transportation systems, autonomous driving, and social robotics. Precisely forecasting surrounding pedestrians’ future trajectories can assist intelligent agents in achieving better motion planning. Currently, deep learning-based trajectory prediction methods have demonstrated superior prediction performance to traditional approaches by learning from trajectory data. However, these methods still face many challenges in improving prediction accuracy, efficiency, and reliability. In this survey, we research the main challenges in deep learning-based pedestrian trajectory prediction methods and study this problem and its solutions through literature collection and analysis. Specifically, we first investigate and analyze the existing literature and surveys on pedestrian trajectory prediction. On this basis, we summarize several main challenges faced by deep learning-based pedestrian trajectory prediction, including motion uncertainty, interaction modeling, scene understanding, data-related issues, and the interpretability of prediction models. We then summarize solutions for each challenge. Subsequently, we introduce mainstream trajectory prediction datasets and analyze the state-of-the-art (SOTA) results reported on them. Finally, we discuss potential research prospects in trajectory prediction, aiming to promote the trajectory prediction community.
Large Language Models for Agricultural Injury Surveillance
Authors: Muller Jacob , Petti Daniel , Li Changying , Gorucu Serap , Pilz Matthew , Weichelt Bryan P.
Published: February 2025

The traditional approach to curating and disseminating information about agricultural injuries relies heavily on manual input and review, resulting in a labor-intensive process. While the unstructured nature of the material traditionally requires human reviewers, the recent proliferation of Large Language Models (LLMs) has introduced the potential for automation. This study investigates the feasibility and implications of filling the role of a human reviewer with an LLM in analyzing information about agricultural injuries from news articles and investigation reports. Multiple language models were tested for accuracy in extracting relevant incident and victim information, and these models include OpenAI’s ChatGPT 3.5 and 4 and an open-source fine-tuned version of Llama 2. To measure accuracy, each LLM was given prompts to gather relevant data from a set of randomly selected online news articles already cataloged by human reviewers, such as the use of drugs or alcohol, time of day, or other information about the victim(s). Results showed that the fine-tuned Llama2 was the most proficient model with an average accuracy of 93% and some categories reaching 100%. ChatGPT-4 also performed well with around 90% accuracy. Additionally, we found that the fine-tuned Llama2 model was somewhat proficient in coding injuries using the OIICS classification scheme, achieving 48% accuracy when predicting the first digit. Though none of the models are perfectly accurate, the methodology and results prove that LLMs are promising in streamlining workflows in order to reduce human and financial resources and increase the efficiency of data analysis.
Chemical Composition and Anticancer Activity of Essential Oils from Cyperaceae Species: A Comprehensive Review
Authors: Bezerra José Jailson Lima , Pinheiro Anderson Angel Vieira , de Oliveira Antônio Fernando Morais
Published: February 2025

Cancer is one of the leading causes of mortality worldwide, and the currently available therapies are often associated with severe side effects, including nephrotoxicity, hepatotoxicity, and cardiotoxicity. In this context, essential oils (EOs) have stood out as a less toxic natural alternative, with their anticancer potential widely investigated in in vitro and in vivo studies. The present study aimed to review, for the first time, the chemical composition, anticancer potential, and biological safety of EOs extracted from species of the Cyperaceae family. Research was conducted in different databases, covering publications from the first report on the topic in 1989 to November 2024. This review highlights 33 Cyperaceae species known to produce essential oils, with sesquiterpenes (67%) identified as the predominant compounds. The notable compounds across multiple species include cyperene, cyperotundone, caryophyllene oxide, and mustakone. Regarding the pharmacological potential, the EOs of Cyperus rotundus, Cyperus kyllingia, and Cyperus longus exhibited high cytotoxic activity against the HCT-116, HepG2, MCF-7, HeLa, and NCI-H187 cell lines. The mechanisms of action associated with the anticancer effect of EOs include DNA fragmentation, cell cycle arrest, and induction of apoptosis. Acute toxicity reports indicate that only the EOs of Cyperus articulatus have been evaluated in rodents and deemed biologically safe.
Does ESG Performance Help Corporate Deleveraging? Based on an Analysis of Excessive Corporate Debt
Authors: Zhu Tao , Liu Dongjiao , Zhang Lequan
Published: February 2025

The ESG performance of enterprises is becoming an essential form of support for investors’ investment decisions and a critical aspect to follow to achieve sustainable development of enterprises. This study uses A-share listed companies in China from 2009 to 2022 as the research sample to study the impact of ESG performance on corporate over-indebtedness and its mechanism. The findings show that good ESG performance significantly negatively affects the level of corporate over-debt and the probability of over-debt. The mechanism test revealed that ESG performance reduces the level and probability of excessive corporate debt by alleviating information asymmetry, reducing corporate debt financing costs and short-term debt length, and improving corporate operating performance. The heterogeneity analysis indicates that the inhibitory effect of ESG performance on corporate over-indebtedness is more significant in polluting industries and regions with a low degree of marketization. Through the moderating effect, we find that improved internal control quality and increased analyst attention can enhance the inhibitory effect of ESG performance on excessive corporate debt. Based on the results above, enterprises should focus on improving ESG performance to reduce the risk of excessive debt and achieve sustainable development. This paper enriches the research on ESG performance and corporate leverage manipulation from the perspective of corporate over-indebtedness, deepens and expands the research on the mechanism of ESG performance affecting corporate over-indebtedness, and explores the moderating effect of internal and external governance mechanisms on ESG performance affecting corporate over-indebtedness.
Future Wood Availability in Europe in Light of Climate and Energy Policy and Geopolitical Developments—A Wood Resource Balance-Based Assessment
Authors: Jonsson Ragnar , Sotirov Metodi
Published: February 2025

The amended European Union (EU) Renewable Energy Directive—in aiming to increase the share of renewable energy in overall energy consumption—promotes an increased demand for wood, while the EU’s updated Land Use, Land-Use Change, and Forestry (LULUCF) Regulation sets ambitious, binding national targets for the increase in net greenhouse gas removals that could restrict the supply of wood. Additionally, the ongoing war in Ukraine has directly affected the availability of woody biomass in Europe through the EU’s import ban on timber and timber products from Russia and Belarus. This paper provides an in-depth comparative analysis of sources and uses of woody biomass in four European regions in light of these recent climate and energy policies and geopolitical developments. The analysis indicates significantly underestimated reported removals in three of the four European regions studied. Further, projections suggest policy incoherence between current climate and energy objectives until 2030 in all four regions, as fellings increase at a faster rate than net annual increment in all four regions, decreasing the forest carbon sink and thus making it all but impossible to reach the 2030 target of the LULUCF regulation. However, between 2030 and 2040, energy-related fellings could decrease in regions north and west, while they could continue to grow in regions east and south, albeit at a lower rate.
Case Study for Planning Education: Lessons from Incorporating an Interdisciplinary Teaching Approach and APA Trend Reports in Capstone Planning Studios
Authors: Park Hye Yeon , Palazzo Danilo , Hollstein Leah
Published: February 2025

Planning education has a responsibility to provide students with theoretical and practical training to address real-world issues. This study explores studio teaching as an engaged pedagogy, incorporating interdisciplinary approaches to education for sustainable development (ESD) and themes from the American Planning Association’s (APA) Future Trend reports. Focusing on two senior capstone projects at the University of Cincinnati involving 34 students, the study emphasizes the value of interdisciplinary methods and APA trend integration in fostering critical thinking and higher-order reasoning. Capstone projects show students’ active engagement with innovative planning concepts (e.g., climate migration, innovative ways of goods’ delivery, and expanding third place’s concept). Such active and innovative learning outcomes not only deepen students’ understanding of urban planning but also equip them with critical cognitive and professional skills, which are necessary as professional planners as well as forward thinkers. The experiences and findings presented can help other programs articulate the benefits of studio-based courses. The findings offer experience-based guidance for similar initiatives in planning studios globally and support the ongoing transformation of sustainability education to prepare students for complex, real-world problem-solving.
Irreversibility, Dissipation, and Its Measure: A New Perspective
Authors: Gujrati Purushottam Das
Published: February 2025

Dissipation and irreversibility are two central concepts of classical thermodynamics that are often treated as synonymous. Dissipation D is lost or dissipated work Wdiss≥0 but is commonly quantified by entropy generation ΔiS in an isothermal irreversible macroscopic process that is often expressed as Kullback–Leibler distance DKL in modern literature. We argue that DKL is nonthermodynamic, and is erroneously justified for quantification by mistakenly equating exchange microwork ΔeWk with the system-intrinsic microwork ΔWk=ΔeWk+ΔiWk, which is a very common error permeating stochastic thermodynamics as was first pointed out several years ago, see text. Recently, it is discovered that dissipation D is properly identified by ΔiW≥0 for all spontaneously irreversible processes and all temperatures T, positive and negative in an isolated system. As T plays an important role in the quantification, dissipation allows for ΔiS≥0 for T>0, and ΔiS<0 for T<0, a surprising result. The connection of D with Wdiss and its extension to interacting systems have not been explored and is attempted here. It is found that D is not always proportional to ΔiS. The determination of D requires dipk, but we show that Fokker-Planck and master equations are not general enough to determine it, which is contrary to the common belief. We modify the Fokker-Planck equation to fix the issue. We find that detailed balance also allows for all microstates to remain disconnected without any transition among them in an equilibrium macrostate, another surprising result. We argue that Liouville’s theorem should not apply to irreversible processes, contrary to the claim otherwise. We suggest to use nonequilibrium statistical mechanics in extended space, where pk’s are uniquely determined to evaluate D.
Welfare on Dairy Cows in Different Housing Systems: Emphasis on Digestive Parasitological Infections
Authors: Paukovic Dragisa , Ilic Tamara , Maletic Milan , Jovanovic Nemanja M. , Nedic Sreten , Mirilovic Milorad , Nenadovic Katarina
Published: February 2025

The aim of this research was to assess welfare indicators in different dairy cow management systems, determine the prevalence of parasitic infections, and examine the impact of these infections on welfare indicators. This study was conducted in 2024 on 45 Holstein-Friesian cows aged 2 to 6 years (first to third lactation) in Northern Serbia. Monitoring was carried out in tie stall, loose, and pasture-based systems, covering three production phases: late dry period, clinical puerperium, and peak lactation. Cow welfare was evaluated using the Welfare Quality® protocol, and parasitological diagnostics from fecal samples. Identified welfare issues included a low body condition score (BCS), dirtiness of udders, flanks, and legs, integument alterations, nasal and ocular discharge, lameness, and diarrhea. Cows in the pasture-based system had significantly higher scores for dirtiness (p < 0.001), while those in tie stalls showed more integument alterations (p < 0.001). Loose-housed cows had higher nasal discharge scores (p < 0.001). Parasites identified included Eimeria spp., Buxtonella sulcata, gastrointestinal strongylids, Moniezia spp., Dicrocoelium dendriticum, Fasciola hepatica, and Paramphistomum spp. Significant correlations (p < 0.001) were found between certain welfare indicators and parasite infections, such as a low BCS with Eimeria oocysts and nasal discharge and hairless patches with Buxtonella sulcata and Dicrocoelium dendriticum. These data indicate needs for improving dairy cows’ welfare and the implementation of effective parasite control measures in all housing systems.
Room for Sea-Level Rise: Conceptual Perspectives to Keep The Netherlands Safe and Livable in the Long Term as Sea Level Rises
Authors: van Alphen Jos , van der Biezen Stephan , Bouw Matthijs , Hekman Alex , Kolen Bas , Steijn Rob , Zanting Harm Albert
Published: February 2025

An accelerated sea-level rise (SLR) may threaten the future livability of the Netherlands. Three perspectives to anticipate this SLR are elaborated here regarding technical, physical, and spatial aspects: Protect, Advance, and Accommodate. The overall objective was to explore the tools and measures that are available for adaptation, assess their spatial impacts, and identify dos and don’ts in current spatial issues like housing, climate adaptation, infrastructure, and the energy transition. Each elaboration was performed by a consortium consisting of representatives from private parties (engineering consultancy, project contractors, (landscape) architects, economists), knowledge institutes (including universities), and government, using an iterative process of model computations and design workshops. The elaborations made clear that a realistic and livable future perspective for the Dutch Delta continues to exist, even with a maximum analyzed SLR of 5 m, and will consist of a combination of elements from all three perspectives. This will require large investments and space for new and upgraded water infrastructure and will have large impacts on land use, water availability, agriculture, nature, residential buildings, shipping, and regional water systems. There is still a significant degree of uncertainty regarding future SLR; therefore, it is not advisable to make major investment decisions at this time. Nevertheless, some no-regret measures are already clear: continuation of the protection of the Randstad agglomeration (Amsterdam, The Hague, Rotterdam, and Utrecht) and its economic earning potential for future generations, adaptation of agriculture to more brackish and saline conditions, designation of space for additional future flood protection, extra storage capacity (for river discharge and increased precipitation), river discharge, and sand extraction (for future coastal maintenance). The research identified concrete actions for today’s decision-making processes, even though the time horizon of the analysis captures centuries. Including the perspectives in long term, policy planning is already necessary because the transition processes will take decades, if not more than a century, to be implemented.
Analysis of Runoff Variation Characteristics and Influencing Factors in the Typical Watershed of Miyun Reservoir, China
Authors: Chen Sheming , Jiang Wanjun , Zhang Zhuo , Liu Futian , Zhang Jing , Ning Hang
Published: February 2025

As an important drinking water source for Beijing, the capital of China, the water inflow of Miyun Reservoir has been decreasing year by year, which has affected the urban water supply security. To understand the variation trend of the inflow and analyze the main factors influencing the runoff change, this research focused on the watershed of Miyun Reservoir as the target. Based on the runoff data from 1984 to 2020 at the outlet of the basin, as well as the precipitation, potential evaporation intensity, NDVI (normalized difference vegetation index), population, and GDP (Gross Domestic Product) data, combined with correlation analysis methods, empirical statistical methods, the SCRCQ (Slope Change Ratio of Cumulative Quantity) method, and the GIS, the interannual variation characteristics of various elements in the basin were analyzed, the correlation between runoff and other factors was studied, and the influencing degrees of precipitation, water surface evaporation intensity, human activities, and other factors on the runoff change in the basin were quantitatively separated. The research results showed that the runoff exhibited a distinct decreasing trend, and there were two mutation points in the basin runoff from 1984 to 2020, which were 1995 and 2014, respectively. The runoff change was divided into three stages: 1984–1995 (upward trend in T1), 1995–2014 (downward trend in T2), and 2014–2020 (stable trend in T3). Runoff was significantly correlated with four indicators: the summer leaf area index of the Chaohe River and Baihe River, the regional GDP and population, among which the correlation of the summer leaf area index was the largest. Compared with the period T1, the contribution rates of climate change to the runoff reduction in T2 and T3 were 6.38% and 5.73%, and the contribution rates of human activities to the runoff reduction were 93.62% and 94.27%, respectively. Therefore, the change in annual runoff in the Miyun Reservoir watershed is mainly affected by human activities, and the contribution of climate change to the runoff attenuation is weak. This study is significant in the maintenance and enhancement of runoff in typical watershed.