bluuebunny/crossref_metadata_2025 huggingface dataset:
Long-Term Surveillance of Food Products of Diverse Origins: A Five-Year Survey of Hepatitis A and Norovirus in Greece, 2019–2024
Authors: Fokas Rafail , Anastopoulou Zoi , Koukouvini Kalypso-Angeliki , Dimitrakopoulou Maria-Eleni , Kotsiri Zoi , Chorti-Tripsa Eleftheria , Kotsalou Chrysoula , Tzimotoudis Dimosthenis , Vantarakis Apostolos
Published: February 2025

This study examines at the prevalence and spread of Hepatitis A Virus (HAV) and norovirus GI/GII in local and imported food products in Greece over a five-year period (2019–2024). A total of two hundred sixty-six food samples were evaluated using obligatory inspections and virus detection procedures, including 202 for Hepatitis A and 64 for Norovirus. High-risk categories analyzed were vegetables [138 (HAV), 17 (NoV)], fruits [16 (HAV), 7 (NoV)], soft fruits/berries [37 (HAV), 31 (NoV)], processed meals [4 (HAV), 4 (NoV)], and animal-based products [1 (HAV), 5 (NoV)]. Viral RNA was isolated using QIAamp Viral RNA Mini Kit and detected using established RT-qPCR procedures that met ISO requirements for high sensitivity and reproducibility. The results demonstrated HAV contamination mostly in vegetables (4.35% positive rate), with sporadic findings in other categories. Norovirus GI/GII was detected primarily in soft fruits/berries, with a category-specific positive rate of 6.45%. A temporal study revealed that HAV peaks in 2020, while Norovirus contaminations were detected in 2021 and 2024. The findings highlight the important need to incorporate viral testing into routine food safety procedures, especially for high-risk product categories. This study establishes a basic framework for public health initiatives that address gaps in foodborne virus surveillance in Greece. The study’s ramifications extend to global efforts to monitor and reduce foodborne virus contamination, pushing for higher regulatory requirements and targeted preventative actions.
Biocontrol Potential of Trichoderma spp. Against Phytophthora ramorum
Authors: Becker Elisa , Rajakulendran Nirusan , Shamoun Simon Francis
Published: February 2025

Phytophthora ramorum, the cause of Sudden Oak Death and related diseases, threatens over 130 tree and shrub species. We evaluated the biocontrol potential of isolates from nine Trichoderma species against P. ramorum using growth-rate studies, dual-culture assays, and culture-filtrate assays. Results showed significant variation in Trichoderma growth rates and biocontrol potential. Some isolates exhibited rapid growth, effective overgrowth, and lethal effects against P. ramorum and produced potent antagonistic metabolites. Faster growth rates only partially correlated with biocontrol efficacy, indicating that factors beyond growth, such as metabolite production, play significant roles. Notably, isolates of T. koningii, T. viride, and the commercial product SoilGard™ (T. virens) showed promising efficacy. We calculated a combined biocontrol variable to rank isolates based on vigour and efficacy to aid in identifying promising candidates. Our findings support the use of Trichoderma spp. as biocontrol agents against P. ramorum and underscore the need for a multifaceted approach to selecting and optimizing isolates. Our evaluation demonstrated the importance of using different assays to assess specific mechanisms of action of biocontrol candidates. Future research should further explore these interactions to enhance the sustainable management of P. ramorum.
The Role of Stratified Cumulative Antibiograms in the (Choice of Appropriate Antibiotics in Urinary Tract Infection) Management of Urinary Tract Infections
Authors: Adamkova Vaclava , Matouskova Michaela , Adamkova Vanda Gabriela , Huptych Michal , Fontana Marcela
Published: February 2025

Urinary tract infections (UTIs) are one of the most common bacterial diseases both in communities and in hospitalized patients, and at the same, time they are one of the most common indications for the use of antibiotics. UTI guidelines are generally available nationally or internationally, but they do not address all aspects of UTI treatment for different patient cohorts, age, gender, or comorbidities. The aim of the study was to point out the importance of stratified cumulative antibiograms at the level of individual health care facilities and the significant differences between epidemiological data, not only at the national level, but also at the local level. Our study analyses data from 383 patients with UTIs from a hospital department, General University Hospital (GUH), and 272 patients from an outpatient medical facility, Urocentrum (UC). This analysis focuses on the most common UTI causative agent, Escherichia coli, its representation as the causative agent of UTI in patients with complicated acute cystitis (N30), and its representation in complicated acute cystitis in patients with prostate cancer (C61). In addition to the frequency of occurrence, a sub-analysis of the incidence of resistance of E. coli to commonly used antibiotics by age, gender, diagnosis, and medical facility was performed. Results: The most common causative agent of UTI was E. coli. In patients with N30, it was 70% in GUH and 54% in UC, but in oncological patients with UTI, it was only 39% and 35%, respectively. In patients with UTI in C61, there was a significant difference in susceptibility of E. coli between individual health care facilities. Lower resistance was found in UC opposite to GUH isolates in ampicillin, with 29.8% vs. 65%, p = 0.001; amoxicillin/clavulanic acid, with 8.5% vs. 30%, p = 0.01; with 2.1% vs. 17.5% in pivmecillinam, p = 0.01; with 10.6% vs. 37.5% in co-trimoxazole, p = 0.003; and ciprofloxacin, with 10.6% vs. 30%, p = 0.04. The study shows significant differences in the sensitivity of urinary E. coli isolates in patients in relation to age, gender, medical devices, and the presence of comorbidities.
Association Between Vitamin D Receptor BsmI Polymorphism and Low Bone Mineral Density in Postmenopausal Women in the MENA Region
Authors: Al-Barazenji Tara , Allouch Asma , Al Husaini Nedhal , Yousef Sondos , Ibrahim Wisam Nabeel , Al-Haidose Amal , Zayed Hatem , Abdallah Atiyeh M.
Published: February 2025

Background/Objectives: Low bone mineral density increases the risk of bone fractures, and this condition is especially common in postmenopausal women. Genetic factors significantly influence bone mineral density. This meta-analysis examined the relationship between vitamin D receptor (VDR) gene polymorphisms (BsmI, ApaI, and TaqI) and bone mineral density in postmenopausal women in the Middle East and North Africa (MENA) region. Methods: The PubMed, Embase, Scopus, and Web of Science databases were searched from inception to March 2024 for case–control studies on VDR BsmI, ApaI, and TaqI polymorphisms and their relationship with low bone density. Associations with low bone mineral density were tested with respect to different genetic models (dominant, recessive, allelic) using RevMan v5.3. Results: The meta-analysis included seven studies for BsmI, six for ApaI, and seven for TaqI, representing 704/689 cases/controls for BsmI, 914/711 for ApaI, and 974/895 for TaqI. No significant association was found between VDR polymorphisms and low bone mineral density in postmenopausal women, except in the dominant model (CC + CG vs. GG) for the BsmI variant (OR = 1.27, 95% CI: 1.01–1.59, p = 0.04). Conclusions: We found a modest association between the BsmI polymorphism and increased risk of low bone mineral density (BMD) in postmenopausal women from the MENA region, suggesting its potential as a biomarker. No associations were observed for ApaI or TaqI. These findings highlight the complex genetic–environmental interactions influencing BMD.
Chemical Analysis of Plasma-Activated Culture Media by Ion Chromatography
Authors: Locatelli Marcello , Perrucci Miryam , Balaha Marwa , Acharya Tirtha-Raj , Kaushik Nagendra-Kumar , Choi Eun-Ha , Rapino Monica , Perrotti Vittoria
Published: February 2025

Background: Currently, the procedures and methods applied in biological and medical fields for the determination of reactive oxygen and nitrogen species (RONS), primarily rely on spectrophotometric techniques, which involve the use of colorimetric reagents. While these methods are widely accepted, they exhibit significant limitations from an analytical standpoint, particularly due to potential inaccuracies, artifacts, and pronounced susceptibility to matrix effects. The purpose of this Technical Note is to demonstrate the application of ion chromatography—a robust and well-established analytical technique—for the quantification of RONS produced in cell culture media through the exposure to cold atmospheric plasma (CAP), an innovative therapeutic approach for cancer treatment, known as CAP indirect treatment. In addition, the present protocol proposes to apply the pharmacokinetics principles to the RONS generated in plasma-treated liquids (PTLs) following CAP exposure. Methods: The strategy involves elucidating the kinetic profiles of certain characteristic species by evaluating their half-life in the specific media used for cell cultures and investigating their “pharmacokinetic” (PK) profile. In this approach the drug dose is represented by the plasma power and the infusion time corresponds to the exposure time of the culture medium to CAP. Volume-dependent results were shown, focusing on nitrites and nitrates activities, justifying cellular inhibition. Results: This methodology enables the correlation of the PTL biological effects on different cell lines with the PK profiles (dose/time) obtained via ion chromatography. Conclusions: In conclusion, being a simple and green method, it could be used as an alternative to toxic reactions and analytical techniques with higher detection limits, while achieving good resolution.
Assessment of Treatment Effects of Aminaphtone by Capillaroscopy in a Patient with Raynaud’s Phenomenon
Authors: Screm Gianluca , Mondini Lucrezia , Salton Francesco , Confalonieri Paola , Bozzi Chiara , Torregiani Chiara , Antonaglia Caterina , Geri Pietro , D’Oria Mario , Bandini Giulia , Hughes Michael , Confalonieri Marco , Ruaro Barbara
Published: February 2025

Background: Aminaphtone is a well-established pharmaceutical agent that has been utilized for over 40 years, primarily due to its effectiveness in treating microvascular disorders. Recent studies have explored its impact on various conditions, including chronic venous insufficiency, diabetic microangiopathy, leg ulcers, systemic sclerosis, and Raynaud’s phenomenon. These investigations have consistently demonstrated that aminaphtone enhances skin blood perfusion and mitigates endothelial damage, all while maintaining a robust safety profile over time. Case Summary: This report highlights the potential of aminaphtone in improving microcirculation in a young patient who experienced spontaneous capillary rupture in her second finger. A 38-year-old woman with undifferentiated connective tissue disease presented to the clinic for periungual videocapillaroscopy (NVC). Given the microangiopathic changes observed during the NVC, she was prescribed aminaphtone. After seven months of treatment, a follow-up NVC revealed significant improvement in the capillaroscopic findings. A comprehensive literature review on aminaphtone was conducted using electronic databases (PUBMED, Google Scholar, ResearchGate, UpToDate), along with manual searches, focusing on articles published until November 2024. Conclusion: Treatment with aminaphtone led to notable improvements in microangiopathic health. Following the introduction of this medication, the nailfold microvascular bed, which previously exhibited severe alterations, showed a remarkable transition to only mild abnormalities.
Impact and Enablers of Pharmacogenetic-Informed Treatment Decisions—A Longitudinal Mixed-Methods Study Exploring the Patient Perspective
Authors: Bollinger Anna , Semedo Fortes Melissa , Meyer zu Schwabedissen Henriette E. , Hersberger Kurt E. , Stäuble Céline K. , Allemann Samuel S.
Published: February 2025

Pharmacogenetic (PGx) testing is a promising approach for optimizing drug therapies. However, there is limited knowledge regarding its real-world utilization and long-term impact in clinical practice. This study assessed how often PGx information informs treatment decisions and evaluated patients’ perspectives on its use and non-use, identifying enablers for PGx implementation. A mixed-methods study was conducted with 24 patients with a median of 1 year after PGx testing. Medication and health-related data were collected at enrollment and at the follow-up 1 year later using a semi-structured questionnaire. At the follow-up, 62 medication changes were identified in 18 patients. A median of four medication changes per patient were initiated mainly by medical specialists (58%). PGx information was considered for 15 patients in 39 medication changes (63%). Patient-reported factors contributing to the non-use of PGx information included a lack of knowledge and interest among healthcare professionals (HCPs), structural and administrative barriers, and an over-reliance on patient advocacy. Potential enablers should address targeted PGx education, interprofessional collaboration, awareness among policymakers, and concise recommendations focused on PGx-actionable drugs from testing providers. By implementing these interdependent enablers, PGx can evolve into a long-term, clinically integrated cornerstone of individualized pharmacotherapy.
The Quest for the Transition of Inalienable Rights from Humans to Intelligent Machines
Authors: Compierchio Angelo , Tretten Phillip , Illankoon Prasanna
Published: February 2025

Intelligent machines (IMs), which have demonstrated remarkable innovations over time, require adequate attention concerning the issue of their duty–rights split in our current society. Although we can remain optimistic about IMs’ societal role, we must still determine their legal-philosophical sense of accountability, as living data bits have begun to pervade our lives. At the heart of IMs are human characteristics used to self-optimize their practical abilities and broaden their societal impact. We used Kant’s philosophical requirements to investigate IMs’ moral dispositions, as the merging of humans with technology has overwhelmingly shaped psychological and corporeal agential capacities. In recognizing the continuous burden of human needs, important features regarding the inalienability of rights have increased the individuality of intelligent, nonliving beings, leading them to transition from questioning to defending their own rights. This issue has been recognized by paying attention to the rational capacities of humans and IMs, which have been connected in order to achieve a common goal. Through this teleological scheme, we formulate the concept of virtual dignity to determine the transition of inalienable rights from humans to machines, wherein the evolution of IMs is essentially imbued through consensuses and virtuous traits associated with human dignity.
In Situ Preparation of Thin-Film Q-Switches Based on Vanadium Dioxide for Pulsed Fiber Lasers
Authors: Sudas Dmitriy P. , Popov Sergei M. , Kuznetsov Petr I.
Published: February 2025

In the presented work, erbium fiber lasers operating in the pulsed mode with a nonlinear element containing a vanadium oxide saturable absorber are demonstrated. The structure of the saturable absorber is based on a segment of thinned silica fiber coated with a thin-film vanadium oxide by the method of metalorganic chemical vapor deposition. A fiber laser scheme is demonstrated that allows controlling the transmission of the internal cavity of the resonator during laser generation and deposition of a thin film. We have demonstrated a method for obtaining and annealing nanocoatings with laser generation control. We controlled the laser output parameters directly during the synthesis of the saturable absorber material. Vanadium oxides obtained in the work demonstrated the Mott–Paierls phase transition practically at room temperature. In this work, the optical characteristics of the output radiation of a fiber laser with a saturable absorber were measured. At temperatures above 70 °C, the coatings demonstrate a passive Q-switch with a repetition rate of 38 kHz and a pulse duration of 3.8 μs. At temperatures below the phase transition, a short-term mode-locking mode occurs. The transmission jump at a wavelength of about 1350 nm during structural rearrangement was 24%. For comparison, VO2 nanopowder in a polydimethylsiloxane elastomer matrix was used as a saturable absorber material. The nanopowder modulator made it possible to obtain pulses with a frequency of 27 kHz and a duration of about 7.2 μs.
Rice Quality and Yield Prediction Based on Multi-Source Indicators at Different Periods
Authors: Hou Yufei , Bao Huiyu , Rimi Tamanna Islam , Zhang Siyuan , Han Bangdong , Wang Yizhuo , Yu Ziyang , Chen Jianxin , Gao Hongxiu , Zhao Zhenqing , Wei Qiaorong , Chen Qingshan , Zhang Zhongchen
Published: February 2025

This study aims to develop an effective and reliable method for estimating rice quality indices and yield, addressing the growing need for rapid, non-destructive, and accurate predictions in modern agriculture. Field experiments were conducted in 2018 at the Suiling Water Conservancy Comprehensive Experimental Station (47°27′ N, 127°06′ E), using Longqingdao 3 as the test variety. Measurements included the leaf area index (LAI), chlorophyll content (SPAD), leaf nitrogen content (LNC), and leaf spectral reflectance during the tillering, jointing, and maturity stages. Based on these parameters, spectral indicators were calculated, and univariate linear regression models were developed to predict key rice quality indices. The results demonstrated that the optimal R2 values for brown rice rate, moisture content, and taste value were 0.866, 0.913, and 0.651, with corresponding RMSE values of 0.122, 0.081, and 1.167. After optimizing the models, the R2 values for the brown rice rate and taste value improved significantly to 0.95 (RMSE: 0.075) and 0.992 (RMSE: 0.179), respectively. Notably, the spectral index GM2 during the jointing stage achieved the highest accuracy for yield prediction, with an R2 value of 0.822. These findings confirm that integrating multiple indicators across different growth periods enhances the accuracy of rice quality and yield predictions, offering a robust and intelligent solution for practical agricultural applications.
An Investigation into the Biological Activities of Four Lamiaceae Essential Oils Against Thrips flavus, Crops, and Weeds
Authors: Zhou Yuxin , Pei Tianhao , Zhou Xuechao , Xu Meng-Lei , Gao Hexin , Wang Lulu , Gao Yu
Published: February 2025

In recent years, with the increasing awareness of environmental protection and food safety, essential oils (EOs) have gained significant attention as safer and more environmentally friendly alternatives. This study investigated the insecticidal activity of four Lamiaceae EOs (patchouli oil, catnip oil, lavender oil, and mint oil) against Thrips flavus and their effects on crops and weeds. The results show that patchouli oil, catnip oil, and lavender oil exhibited better insecticidal activity, with patchouli oil having the strongest toxicity, with an LC50 value of 0.31 mg/mL. Additionally, catnip oil and lavender oil had significant attractive effects on T. flavus, where lavender oil only had a significant attractive effect on male T. flavus, with an attraction rate of 71.88% (p = 0.03), suggesting that it could be a potential alternative to insect lures. In pot experiments, these EOs demonstrated sustained insecticidal effects and varied impacts on crops. Lavender oil only significantly affected the shoot length of soybeans (Glycine max), while mint oil did not significantly affect the growth of G. max. Finally, we preliminarily analyzed the chemical composition of the EOs to provide insights into their active components. These findings indicate that EOs have potential applications as natural agrochemicals, but further research on their mechanisms and application conditions is required.
Effect of Interfacial Compatibility on Mechanical Property of Polyamide 6 Modified by Polyborosiloxane
Authors: Chen Qian , Li Feng , Zhai Zhe , Li Shufeng , Cai Yongfei , Li Qiang
Published: February 2025

The interfacial properties of blends play a crucial role in determining the mechanical characteristics of polyamide alloys. This study focused on the preparation of PA6/PBS alloys via a melt blending method, utilizing 3-aminopropyltriethoxysilane (KH550) as the compatibilizer to examine the impact of KH550 on the interfacial and mechanical properties of these binary blends. The results demonstrated that the amino groups in KH550 reacted with the terminal carboxyl groups in polyamide 6 (PA6) and the B-OH in polyborosiloxane (PBS), which significantly enhanced interfacial adhesion between the two phases. A reduction in the particle size and interparticle distance of PBS particles was related to increased interfacial adhesion within the blends. The superior dispersion and robust interfacial adhesion caused a notable improvement in the notched Izod impact strength, rising from 7.9 kJ/m2 to 29.7 kJ/m2 at 25 °C and from 6.3 kJ/m2 to 16.6 kJ/m2 at −50 °C. Consequently, KH550 proved to be an effective toughening agent for the PA6/PBS system. Furthermore, the PA6/PBS blends containing a high content of KH550 induced a morphological transformation from a “sea-island” structure to a partially interpenetrating polymer network, leading to the absence of a double-yield phenomenon in the tensile curve.
Extraction of High Stearic High Oleic Sunflower Oil Using Eco-Friendly Solvents
Authors: de Figueiredo Ana K. , Fernández María B. , Nolasco Susana M.
Published: February 2025

The present work aimed to evaluate the extractive performance of three green solvents—absolute ethanol, hydrated ethanol (96%), and absolute isopropanol (AIP)—in high stearic high oleic sunflower seeds, comparing them with the conventional solvent hexane. The oil yield from exhaustive Soxhlet extraction with hydrated ethanol was significantly lower, with no significant differences being observed among the other solvents. Extraction with AIP produced the extract with the lowest non-lipid material content and the oil with the lowest concentration of crystallizable waxes, showing a 53% reduction compared to hexane. Since AIP showed a higher extraction efficiency than absolute ethanol after 4 h of processing, its oil extraction kinetics when used as a solvent were further studied. A modified Fick’s diffusion model revealed that, for hexane extraction at 50 °C, the effective diffusion coefficient and the washing fraction were higher than those for AIP extraction (26% and 5.4% higher, respectively). No clear dependence of the oil extraction kinetics on the temperature was observed between the studied temperatures (50 °C and 70 °C). The results showed the feasibility of using absolute ethanol and AIP as alternatives to hexane. Additionally, isopropanol presented operational advantages, producing oil that required less dewaxing during refining than that extracted with hexane or ethanol and showing higher oil selectivity than ethanol.
Characterization of Damage and Infiltration Modeling of Coal-Slurry Consolidation Mechanics Under Loaded Conditions
Authors: Tang Yaocai , Lu Peng , Zhang Junxiang , Jian Wang
Published: February 2025

Coal seam gas drainage is a primary measure for mitigating coal and gas outburst hazards. Grouting sealing can form coal-slurry consolidated bodies, significantly improving the sealing quality of gas drainage boreholes and alleviating coal and gas outburst risks. Therefore, this study conducts triaxial loading and seepage experiments to analyze the mechanical failure characteristics and permeability variation of coal-slurry consolidated bodies under loading conditions following grouting sealing of gas drainage boreholes. Based on the “cube” model, a permeability model for the damaged coal-slurry consolidated body under loading conditions is established. The findings provide guidance for evaluating the leakage prevention performance of sealing materials in field engineering and optimizing the sealing efficiency of grouting materials. Future research may explore the damage and seepage evolution of coal-slurry consolidated bodies under various loading conditions and sealing material types.
Exploring Corporate Capital Structure and Overleveraging in the Pharmaceutical Industry
Authors: Issa Samar , Issa Hussein
Published: February 2025

This paper applies an empirical model of corporate capital structure, optimal debt, and overleveraging to estimate overleveraging measured as the difference between actual and optimal debt. Estimated using a sample of the twenty largest pharmaceutical firms, covering the time span from 2000 to 2018, the model sheds light on an industry-specific default risk. The analysis presented in this paper reveals a concerning trend in the pharmaceutical industry, with corporate excess debt steadily increasing over the past two decades, particularly peaking during the 2008 crisis and after 2013. These findings underscore the critical role of excess debt in exacerbating financial instability and highlight the pharmaceutical sector’s unique challenges, including high R&D intensity and regulatory pressures. By quantifying overleveraging and linking it to financial risk, the paper offers valuable policy implications, emphasizing the need for proactive management of optimal debt levels to mitigate default risks and enhance macroeconomic resilience.
Simultaneous Path Planning and Task Allocation in Dynamic Environments
Authors: David Jennifer , Valencia Rafael
Published: February 2025

This paper addresses the challenge of coordinating task allocation and generating collision-free trajectories for a fleet of mobile robots in dynamic environments. Our approach introduces an integrated framework comprising a centralized task allocation system and a distributed trajectory planner. The centralized task allocation system, employing a heuristic approach, aims to minimize the maximum spatial cost among the slowest robots. Tasks and trajectories are continuously refined using a distributed version of CHOMP (Covariant Hamiltonian Optimization for Motion Planning), tailored for multiple-wheeled mobile robots where the spatial costs are derived from a high-level global path planner. By employing this combined methodology, we are able to achieve near-optimal solutions and collision-free trajectories with computational performance for up to 50 robots within seconds.
Advanced Deep Learning Approaches for Forecasting High-Resolution Fire Weather Index (FWI) over CONUS: Integration of GNN-LSTM, GNN-TCNN, and GNN-DeepAR
Authors: Shahriar Shihab Ahmad , Choi Yunsoo , Islam Rashik
Published: February 2025

Wildfires in the United States have increased in frequency and severity over recent decades, driven by climate change, altered weather patterns, and accumulated flammable materials. Accurately forecasting the Fire Weather Index (FWI) is crucial for mitigating wildfire risks and protecting ecosystems, human health, and infrastructure. This study analyzed FWI trends across the Continental United States (CONUS) from 2014 to 2023, using meteorological data from the gridMET dataset. Key variables, including temperature, relative humidity, wind speed, and precipitation, were utilized to calculate the FWI at a fine spatial resolution of 4 km, ensuring the precise identification of wildfire-prone areas. Based on this, our study developed a hybrid modeling framework to forecast FWI over a 14-day horizon, integrating Graph Neural Networks (GNNs) with Temporal Convolutional Neural Networks (TCNNs), Long Short-Term Memory (LSTM), and Deep Autoregressive Networks (DeepAR). The models were evaluated using the Index of Agreement (IOA) and root mean squared error (RMSE). The results revealed that the Southwest and West regions of CONUS consistently exhibited the highest mean FWI values, with the summer months demonstrating the greatest variability across all climatic zones. In terms of model performance on forecasting, Day 1 results highlighted the superior performance of the GNN-TCNN model, achieving an IOA of 0.95 and an RMSE of 1.21, compared to the GNN-LSTM (IOA: 0.93, RMSE: 1.25) and GNN-DeepAR (IOA: 0.92, RMSE: 1.30). On average, across all 14 days, the GNN-TCNN outperformed others with a mean IOA of 0.885 and an RMSE of 1.325, followed by the GNN-LSTM (IOA: 0.852, RMSE: 1.590) and GNN-DeepAR (IOA: 0.8225, RMSE: 1.755). The GNN-TCNN demonstrated robust accuracy across short-term (days 1–7) and long-term (days 8–14) forecasts. This study advances wildfire risk assessment by combining descriptive analysis with hybrid modeling, offering a scalable and robust framework for FWI forecasting and proactive wildfire management amidst a changing climate.
Adaptive Variational Mode Decomposition and Principal Component Analysis-Based Denoising Scheme for Borehole Radar Data
Authors: Yang Ding , Guo Cheng , Persico Raffaele , Liu Yajie , Liu Handing , Bai Changjin , Lian Chao , Zhao Qing
Published: February 2025

To address the significant impact of noise on the target detection performance of borehole radar (BHR), a key type of ground-penetrating radar (GPR), a denoising scheme based on the whale optimization algorithm (WOA) for adaptive variational mode decomposition (VMD) and multiscale principal component analysis (MSPCA) is proposed. This study initially conducts the modal decomposition of BHR data using an improved adaptive VMD method based on the WOA; it then automatically selects modes meeting specific frequency band standards. The correlation coefficients between these modes and the original signal are computed, discarding weakly correlated modes before signal reconstruction. Finally, MSPCA further suppresses noise, yielding denoised BHR data. Simulations show that the proposed scheme increases the signal-to-noise ratio by 17.964 dB or higher, surpassing the more established denoising techniques of robust principal component analysis (RPCA), MSPCA, and empirical mode decomposition (EMD), and obtains the most favorable results in terms of the RMSE and MSE metrics. The experimental results demonstrate that the proposed scheme more effectively suppresses vertical and random noise signals in BHR data. Both the numerical simulations and experimental results confirm the effectiveness of this scheme in noise reduction for BHR data.
The Scalable Detection and Resolution of Data Clumps Using a Modular Pipeline with ChatGPT
Authors: Baumgartner Nils , Iyenghar Padma , Schoemaker Timo , Pulvermüller Elke
Published: February 2025

This paper explores a modular pipeline architecture that integrates ChatGPT, a Large Language Model (LLM), to automate the detection and refactoring of data clumps—a prevalent type of code smell that complicates software maintainability. Data clumps refer to clusters of code that are often repeated and should ideally be refactored to improve code quality. The pipeline leverages ChatGPT’s capabilities to understand context and generate structured outputs, making it suitable for addressing complex software refactoring tasks. Through systematic experimentation, our study not only addresses the research questions outlined but also demonstrates that the pipeline can accurately identify data clumps, particularly excelling in cases that require semantic understanding—where localized clumps are embedded within larger codebases. While the solution significantly enhances the refactoring workflow, facilitating the management of distributed clumps across multiple files, it also presents challenges such as occasional compiler errors and high computational costs. Feedback from developers underscores the usefulness of LLMs in software development but also highlights the essential role of human oversight to correct inaccuracies. These findings demonstrate the pipeline’s potential to enhance software maintainability, offering a scalable and efficient solution for addressing code smells in real-world projects, and contributing to the broader goal of enhancing software maintainability in large-scale projects.
Measurement and Decomposition Analysis of Occupational Income Inequality in China
Authors: Yuan Jing , Ma Teng , Wang Yinghui , Cai Zongwu
Published: February 2025

Using the China CFPS database, this paper measures the degree of intra-occupational inequality in China with the Pareto coefficient and uses the generalized entropy index to decompose the top income gap by region as well as by industry. The empirical results show that, firstly, the degree of income inequality between occupations in China has increased significantly in recent years. The provinces with a higher degree of income inequality between occupations are mostly located in the more economically developed regions in the central and eastern parts of the country, while the degree of inequality between occupations in the western part is lower. Secondly, the highest-income occupations are mainly in the manufacturing industry, with relatively high levels in the construction industry, the education sector, the wholesale and retail trade, and public administration and social organizations, while the levels in other occupations are relatively low. Lastly, the top income gap primarily originates from within industries. However, the contribution rate of the top income gap between industries is gradually increasing, while the contribution rate of the top income gap within industries is gradually decreasing.
Research on the Strength Characteristics of Red Soil Amended by Biochar
Authors: Li Ke , Xu Yu , Tan Yang , Cai Xianxiong , Liu Zhikui , Xu Qinxue
Published: February 2025

In order to investigate the effect of biochar on the strength characteristics of red loam, a number of experiments were carried out in the red loam of northern Guangxi Province, including a direct shear test, a scanning electron microscopy (SEM) test, and an X-ray diffraction (XRD) test of red loam, bagasse biochar–red loam, and rice platycodon biochar–red loam. The aim of this study was to determine the effects of different biochar contents, types, and particle size ranges on the shear strength of the improved soils. The results showed that both bagasse biochar and rice platycodon biochar could effectively improve the shear strength of soil, and the shear strength increased first and then decreased with the increase in biochar content and reached the peak value when the content of biochar reached 6%. Under vertical pressures of 100 kPa, 200 kPa, 300 kPa, and 400 kPa, the shear strength of the two improved soils increased by 53.39%, 52.52%, 43.43%, and 47.08%, respectively, and 54.56%, 23.89%, 33.71%, and 47.78%, respectively, compared with that of plain soil. In addition, the grain size was negatively correlated with the shear strength, and the shear strength of the sample increased with a decrease in the grain size, in which the biochar in the range of 0~0.5 mm had the best effect on the strength improvement of the red loam. The results of this study provide theoretical and technical support for revealing the evolutionary mechanism of red loam strength and coping with soil erosion in red soil areas.
Social Innovation Perspective on Regional Design and Sustainable Development Research
Authors: Ding Wei , Zeng Zirong , Zhuo Yaqi , Wang Chenlu
Published: February 2025

In today’s world, the development of regional industries and cross-regional cultural integration have brought about environmental damage and cultural erosion. However, there are many shortcomings in the research and countermeasures for the problem, especially in China. The greater participation of the whole society in innovative regional design has a huge impact on the sustainable development of the region. This research aims to provide a more comprehensive understanding framework for regional design and strategic guidance for future research directions and practical paths. We adopted the methods of a literature review and a case analysis to discuss the importance of social cooperation in social innovation from the perspectives of cultural inheritance, community participation, industrial upgrading, and brand building. Based on Professor Kiyoshi Miyazaki’s “Human Culture Land Production Landscape” resource integration model, combined with specific regional goals, five major design domains have been constructed to address five issues. In specific regional design practices, participatory design, value co-creation, and resource integration design methods have been applied. Research has found that these theoretical and practical paths have achieved good results and played a positive role in promoting the Sustainable Development Goals (SDG9 and SDG11).
Redesigning Energy Habits: The Role of Home Renovations in Shaping Tenant Behavior
Authors: Flouri Maria , Kontzinos Christos , Murphy Bonnie , Ördög Danka , Freté Manuela , Kokkinakos Panagiotis , Askounis Dimitrios
Published: February 2025

With an emphasis on pilots in Spain and Portugal, this study examines the connection between Efficient, Sustainable, and Inclusive Energy (ESIE) performance improvements, home renovations, and tenant/owner behavior within the framework of the FORTESIE project (CBDC-powered Smart PerFORmance contracTs for Efficiency, Sustainable, Inclusive, Energy Use). This paper investigates the relationship between tenant behavior along with energy consumption and renovation packages that also include digital technologies and energy efficiency measures. It studies the efficiency and effectiveness of the FORTESIE Common Impact Model (CIM) towards engaging homeowners/tenants, comprehending their driving forces, and implementing customized plans to encourage sustainable energy practices. This study presents applied case studies with different digital and energy literacy backgrounds and emphasizes the importance of considering elements such as cultural settings, energy poverty, and digital literacy when creating sustainable energy engagement approaches and putting them into practice. Taking into account these elements, this study investigates whether the CIM can be used effectively in diverse settings to engage with stakeholders and help create customized and appropriate energy behavior pathways.
Integrated Noise Management Strategies in Industrial Environments: A Framework for Occupational Safety, Health, and Productivity
Authors: Chis Timur Vasile , Cioca Lucian-Ionel , Badea Daniel Onut , Cristea Iuliana , Darabont Doru Costin , Iordache Raluca Maria , Platon Silviu Nicolae , Trifu Alina , Barsan Vlad-Andrei
Published: February 2025

Noise exposure in rubber manufacturing poses significant risks to worker health, safety, and productivity. This study explores these challenges via an integrated approach that combines task-based and group noise measurements as required by Directive 2003/10/EC, noise mapping, real-time monitoring, and worker feedback. Noise levels were found to range from 81 to 89 dB(A) across worker groups, with task-specific peaks exceeding 91 dB(A) near high-noise machinery. To mitigate these risks, engineering controls, including acoustic barriers and machine isolation, were proposed alongside administrative measures such as task rotation and improved access to personal protective equipment. The analysis demonstrated a link between noise levels and reduced productivity, emphasizing the need for targeted interventions. Integrating IoT sensors and AI for real-time noise monitoring offers opportunities to increase compliance, reduce exposure, and improve safety outcomes. Whilst engineering controls involve higher initial investments, cost-benefit analysis highlights their long-term advantages in reducing health-related expenses and improving productivity. This study reinforces the importance of a proactive, worker-centered approach to noise management in rubber manufacturing, emphasizing sustainability, risk mitigation, and the adoption of innovative technologies to create safer and more efficient workplaces.
Enhancing Soil Resilience to Climate Change: Long-Term Effects of Organic Amendments on Soil Thermal and Physical Properties in Tea-Cultivated Ultisols
Authors: Vidana Gamage Duminda N. , Peiris Thilanjana , Kasthuriarachchi Isuru , Mohotti Keerthi M. , Biswas Asim
Published: February 2025

This study examined the impact of the long-term application (25 years) of tea waste (TW), compost (COM), and neem oil cake (NOC) compared to conventional synthetic fertilizers (CONV) on soil thermal and physical properties of a tea-cultivated Ultisol. Soil samples were collected from 0–15 cm and 15–30 cm depths of an experimental site of the Tea Research Institute in Sri Lanka. These samples were analyzed for soil thermal conductivity (k), volumetric heat capacity (C), thermal diffusivity (D), bulk density (BD), aggregate stability, soil organic carbon (SOC), and volumetric water contents at 0 kPa (θ0) and 10 kPa (θ10). TW and COM significantly (p < 0.05) increased surface SOC, leading to better aggregation, lower BD, and, consequently, a substantial reduction in k and D compared to CONV plots. Further, TW and COM amendments slightly increased C compared to CONV plots due to elevated SOC and water content. However, NOC had no impact on soil thermal and physical properties compared to CONV. The reduced thermal conductivity and thermal diffusivity indicated an improved soil capacity to buffer extreme temperature fluctuations. Moreover, soils treated with TW and COM exhibited greater water retention and improved soil resistance to erosion. The findings suggest that the long-term application of tea waste and compost could be a sustainable soil management strategy for improving soil health and enhancing resilience to climate change in tea-cultivated Ultisols.
Soil Health Practices and Decision Drivers on Diversified Vegetable Farms in Minnesota
Authors: Hoidal Natalie , Bugeja Shane M. , Lindenfelser Emily , Pagliari Paulo H.
Published: February 2025

Soil health is at the root of agricultural sustainability, and small-scale vegetable farmers are becoming an increasingly important part of the US food system. These farmers face unique challenges when it comes to managing soil on their farms. These challenges include reliance on intensive production practices, the use of primarily organic inputs with difficult to calculate nutrient concentrations, and lack of access to formal education tailored to their needs. We surveyed farmers at 100 small-scale vegetable farms in Minnesota to (1) develop a better baseline understanding of how small-scale vegetable farmers utilize key soil health practices including nutrient management, cover crops, and tillage; (2) explore how farm demographics influence the adoption of soil health practices; and (3) determine educational priorities to better support these growers. Here, we report a lack of understanding about the nutrient contributions of compost, which is often applied at very large volumes without guidance from soil test results, with implications for nutrient loading in the environment. Farmers in our study had high rates of cover crop adoption relative to other farmers in the region despite several barriers to using cover crops. More experienced farmers were more likely to utilize more tillage, with more use of deep tillage implements on larger farms. Overall, organic certification was correlated with higher adoption of soil health practices including utilization of soil tests and cover crop use, but it was not correlated with tillage. Other demographic variables including land access arrangement and race did not meaningfully influence soil health practices. Our findings suggest a need for more research, outreach, and education targeted to vegetable farmers about how to interpret laboratory soil test results, and how to responsibly utilize organic inputs including vegetative compost and composted manure at rates appropriate for crop production in a diversified farm setting. We also report a need to compensate farmers for their labor to incentive cover crop use on small farms, and a need for more research and support for farmers in the 3–50-acre range to utilize reduced tillage methods.
System Dynamics-Based Integrated Benefit Analysis of Low-Carbon Management Process of Municipal Solid Waste
Authors: Zhang Genping , Lu Gang , Liu Kaili , Liu Hongbo
Published: February 2025

With rapid economic development, the amount of the municipal solid waste (MSW) generated has increased dramatically. To improve the socio-economic benefits and environmental impacts of the low-carbon management of MSW, it is crucial to identify the drivers of Greenhouse Gas (GHG) emissions from MSW treatment and assess their systematic and comprehensive benefits. The factor decomposition method is one of the most commonly used methods focused on identifying GHG emission-influencing factors, while the system dynamics (SD) method is commonly used to analyze the causal relationships between linear and nonlinear variables in complex dynamic systems. Unlike existing studies that account for and evaluate MSW from a static perspective, this paper innovatively combines the LMDI-SD model to identify and quantify the GHG emission drivers of MSW and evaluate the benefits of decarbonizing the MSW management in China from a comprehensive and systematic perspective. The results show that the dominant factor driving MSW GHG emissions from 2010 to 2022 is the economic development factor, ∆EED, while the intensity of MSW generation ∆EGI and the structure of MSW treatment ∆ETS play a stronger inhibiting role. Based on this, the SD model is constructed to simulate different scenarios, and the analysis shows that increasing the waste separation rate (S3) is the most effective measure to improve the socio-economic benefits and environmental impacts of the system. Compared with the base scenario, the socio-economic benefits and environmental impacts in 2050, for example, are increased by 82.8% and 43.4%, respectively. Improving the utilization rate of landfill gas (S1), reducing the per capita amount of MSW generated (S4) and increasing the incineration rate of MSW (S2) also have significant advantages for the improvement of benefits. Finally, some policy recommendations for the improvement of the comprehensive benefits of low-carbon MSW management systems are proposed to help policymakers make appropriate decisions.
Sustaining Infrastructure Firm Performance Through Strategic Orientation: Competitive Advantage in Dynamic Environments
Authors: Indriyani Erlina Pipit , Suhariadi Fendy , Lestari Yetty Dwi , Aldhi Ian Firstian , Rahmawati Elvia , Hardaningtyas Dwi , Abbas Ansar
Published: February 2025

Indonesia’s pursuit of the Indonesia Emas 2045 vision emphasizes sustainable economic growth and equitable prosperity, with strategic initiatives such as establishing a new national capital and enhancing infrastructure to bolster economic competitiveness. This study examines the relationship between Strategic Orientation and Sustainable Firm Performance, with Firm Competitive Advantage as a mediator and Dynamic Environment as a moderator. Using data collected from 474 private companies affiliated with the Indonesian Chamber of Commerce and Industry between September and December 2024, and analyzed via Structural Equation Modeling with SmartPLS4, the findings demonstrate that Strategic Orientation significantly enhances Firm Competitive Advantage, which partially mediates its impact on Sustainable Firm Performance. Moreover, Dynamic Environment amplifies the Strategic Orientation–Firm Competitive Advantage relationship. The study contributes to the Resource-Based View and Dynamic Capability Theory, providing actionable insights for private firms to enhance strategic adaptability and for policymakers to foster private sector sustainability amidst market dynamics.