bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on the Impact Mechanism of Self-Quantification on Consumers’ Green Behavioral Innovation
Authors: Zhang Yudong , Dai Zhangyuan , Zhang Huilong , Hu Gaojun
Published: September 2024

The era of self-quantification in green consumption has dawned, encompassing everything from monitoring electricity usage to tracking carbon emissions. By leveraging technological tools to track self-related data pertaining to green behavioral activities, individuals develop self-knowledge and engage in reflection, which in turn influence their participation and even behavioral decisions regarding green activities. Nevertheless, sustainability in consumers’ green behavior is paramount, hinging not merely on participation outcomes but also on behavioral innovation within green activities. Distinct from prior research, this study delves into behavioral preferences transcending mere participation outcomes. It examines the influence of self-quantification on consumers’ green behavioral innovation from the lens of sustainability, elucidating the underlying mechanisms and boundary conditions that govern self-quantification’s effect on the diversity and novelty of consumers’ green behaviors. Drawing on findings from multiple situational experiments, we demonstrate that, in contrast to non-self-quantification, a promotional (defensive) goal orientation tends to diminish (intensify) the innovation of consumers’ behavioral choices. Additionally, consumers’ cognitive flexibility acts as a mediator in the relationship between self-quantification and behavioral innovation, contingent upon their goal orientation. Furthermore, the level of goal concreteness in behavioral activities serves as a moderator, influencing the impact of self-quantification on consumers’ cognitive flexibility under different goal orientations. By investigating the mechanisms through which self-quantification shapes consumers’ green behavioral innovation under varying conditions, this study offers valuable insights for enterprises seeking to guide consumers toward innovative and sustainable green consumption practices.
The Impacts of Carbon Policy and “Dual Carbon” Targets on the Industrial Resilience of Ferrous Metal Melting and Rolling Manufacturing in China
Authors: Wan Rui , Xia Bing
Published: September 2024

Greenhouse gas emissions are a major factor contributing to global climate change and have received extensive attention from policymakers worldwide. As a cornerstone of China’s industry and a critical foundation of the global manufacturing sector, the introduction of carbon policies could increase production costs and reduce international competitiveness, thereby impacting its stable development. How can carbon emissions be reduced to meet the environmental standards of the international community while maintaining global market competitiveness? This paper develops a comprehensive set of indicators to assess the industrial resilience of the ferrous metal smelting and rolling industry. These indicators focus on the industry’s development capacity, market demand transformation, potential for technological innovation, and ability to adapt to external shocks and recover autonomously. Using the difference-in-differences (DID) model, it quantifies the effects of carbon policies from China and the EU on the industry’s resilience and examines adaptation mechanisms within the industrial chain. It is found that ferrous metal smelting and rolling industrial resilience has been strengthening, significantly influenced by national research and experimental development (R&D), gearing ratio, and government science and technology investments. China’s domestic carbon policies and the EU’s carbon policy have profoundly impacted the resilience of China’s ferrous metal industry, fostering green innovation and the transition to a low-carbon economy while ensuring industrial stability and competitiveness.
Application of Recycled Cardboard to Construction Based on Life Cycle Assessment
Authors: Venkatesan Srikanth , Zhang Jingxuan , Law David , Gravina Rebecca , Navaratnam Satheeskumar
Published: September 2024

Typical household recyclable bin in Australia contains around 60% of waste cardboard. Given the possibilities of developing a construction material, this study conducted a life cycle assessment (LCA) comparing the development of cardboard trusses with © timber trusses, encompassing production to construction. The results show that cardboard trusses offer significant environmental benefits, including a 73% reduction in climate change category, an 83% decrease in ozone-depleting potential, and almost complete avoidance of agricultural land occupation compared to timber trusses, showcasing their sustainability. In both material manufacturing and material transportation, cardboard trusses prioritize climate change mitigation, accounting for over half of the environmental impact. Timber trusses, in contrast, heavily impact land occupation and exhibit climate change dominance. A benefit analysis highlights advantages of cardboard trusses, particularly in reducing land occupation, sustainability, circular economy, and particulate matter formation. The life cycle cost analysis demonstrates an impressive 83% cost reduction for cardboard trusses compared to timber trusses, despite higher labor costs during manufacturing.
Predicting Methane Concentrations in Underground Coal Mining Using a Multi-Layer Perceptron Neural Network Based on Mine Gas Monitoring Data
Authors: Tutak Magdalena , Krenicky Tibor , Pirník Rastislav , Brodny Jarosław , Grebski Wiesław Wes
Published: September 2024

During energy transition, where sustainability and environmental protection are increasingly prioritized, ensuring safety in coal exploitation remains a critical issue, especially in the context of worker safety. This research focuses on predicting methane concentrations in underground mines, which is vital for both safety and operational efficiency. The article presents a methodology developed to predict methane concentrations at specific points in mine workings using artificial neural networks. The core of this methodology is a forecasting model that allows for the selection and adjustment of the neural network to the phenomenon being studied. This model, based on measurements of ventilation parameters, including methane concentrations in a given area, enables the prediction of gas concentrations at measurement points. The results indicate that with appropriate neural network selection and based on ventilation measurements, it is possible to forecast methane concentrations at acceptable levels in selected excavation points. The effectiveness of these forecasts depends on their timing and the input data to the model. The presented example of applying this methodology in a real mine working demonstrates its high efficiency. The best results were obtained for a 5 min forecast, with slightly less accuracy for longer times (10, 15, 30, and 60 min), though all results remained at an acceptable level. Therefore, it can be concluded that the developed methodology can be successfully applied in underground mining operations to forecast dangerous methane concentrations. Its implementation should improve mining efficiency by reducing instances of exceeding permissible methane concentrations and enhance occupational safety.
Carbon Reduction Effects in Transport Infrastructure: The Mediating Roles of Collusive Behavior and Digital Control Technologies
Authors: Wang Da , Ma Chongsen , Chen Yun , Wen Ai , Hu Mengjun , Luo Qi
Published: September 2024

Many countries have committed to carbon reductions and carbon neutrality targets in response to the Paris Agreement and Sustainable Development Goals (SDGs). With economic development, the transportation sector has become a major source of carbon emissions. In China, transport infrastructure—as an important carrier of the transportation sector—is important for controlling carbon emissions from this sector and achieving carbon neutrality and the targets of the SDGs. However, most studies have focused on transport vehicles and neglected transport infrastructure. Furthermore, the influences of collusive behavior and digital control technologies on the carbon reduction process have not yet been examined. This study aimed to analyze the influencing factors in the carbon reduction process in transport infrastructure. This study uses partial least squares structural equation modeling (PLS-SEM) to analyze the factors influencing carbon reductions in transport infrastructure and the mediating roles of collusive behavior and digital control technologies in the carbon reduction process. Low-carbon technologies, digital control technologies, and collusive behavior have positive direct and indirect effects on the carbon reduction effect. Digital control technologies have a positive effect on low-carbon regimes. Low-carbon technologies influence carbon reduction effects. Collusive behavior plays a mediating role in low-carbon regimes. Finally, the industrial structure influences carbon reduction effects. This study extends China’s carbon emission research in the transportation sector by focusing on infrastructure rather than vehicles. Additionally, this is the first study to incorporate collusive behavior and digital control technologies into the framework to analyze the impact of carbon reductions. The study also employs PLS-SEM to explore effective carbon reduction paths. The findings provide decision-making support for controlling carbon reductions in transport infrastructure.
Modeling and Dynamic Analysis of Algae–Fish Model with Two State-Dependent Impulse Controls
Authors: Liu Ying , Zhuang Yuan , Liu Qiong , Huang Lizhuang
Published: September 2024

In ecological modeling, symmetry can manifest in multiple ways, significantly contributing to our understanding of ecosystem stability, species interactions, and ecological balance. Considering the bloom phenomenon caused by excessive algae in ponds and its impact on aquaculture, we establish a class of algae–fish ecological models with two state-dependent impulse controls. In this paper, we first discuss the existence of positive equilibria in the system without impulses. Second, the existence and asymptotic stability of the order-1 and order-2 periodic solutions are analyzed by applying successor functions and a Similar Poincare Criterion. Finally, numerical simulations demonstrate that the model exhibits order-1 and order-2 periodic solutions, clarifying that the system with two impulses can address the problem more effectively.
Correlation between Temperature and the Posture of Transmission Line Towers
Authors: Wang Minzhen , Gao Haihang , Wang Zhigang , Yue Keyu , Zhong Caiming , Zhang Guangxin , Wang Jian
Published: September 2024

Ensuring the safety of transmission line towers is vital for human safety, power supply, economic development, and environmental protection. This study specifically examines how temperature affects tower inclination. Multifractal detrended cross-correlation analysis (MF-DCCA) is a combination of multifractal detrended fluctuation analysis (MF-DFA) and DCCA that reveals the multifractal features of two cross-correlated non-stationary signals. This paper adopts the MF-DCCA tool to investigate the cross-correlations between the internal temperature of an inclination sensor device and the posture of a transmission line tower. The tilt angle data in the x- and y-axes are used to measure the posture of the transmission line tower. We start by using Pearson correlation to assess the relationship between temperature and two inclination angles, followed by verifying their correlation with a p-value below 0.05 using first-order linear fitting. We initially assess the multifractal features of three time series using MF-DFA before MF-DCCA analysis. All exhibit multifractal traits with H(2)<0.5, indicating negative persistence, especially notable in the temperature series. Finally, we adopt the MF-DCCA approach to examine the multifractal cross-correlation between tilt-angle time series and temperature time series, and the results indicate the negative persistence of the cross-correlation between the time series. Furthermore, the multifractal cross-correlation of temperature and inclination data on the y-axis was also found to be stronger than on the x-axis based on features of the scaling exponent and symmetry exponent.
Mathematics Serving Economics: A Historical Review of Mathematical Methods in Economics
Authors: Czerwinski Artur
Published: September 2024

This paper offers a historical review of the evolution of mathematical methods in economics, tracing their development from the earliest attempts in the 18th century to the sophisticated models of the late 20th century. The study begins by examining the initial integration of mathematical techniques into economic thought, highlighting key milestones that shaped the field. Symmetry concepts are naturally embedded in many of these mathematical frameworks, particularly in the balance and equilibrium found in economic models. Symmetry in economics often reflects proportional relationships and equilibrium conditions that are central to both micro- and macroeconomic analyses. Then, the paper elaborates on the progression of economic growth models, including the foundational Solow–Swan model, which introduced the concept of technological progress (knowledge) as a key factor influencing growth. The review also encompasses the Lucas growth model and the Mankiw–Romer–Weil model, both of which incorporate human capital into the growth equation, highlighting its importance in driving economic development. Finally, the paper addresses the Nonneman–Vanhoudt model, which extends the analysis of growth by integrating multiple types of capital, providing a more comprehensive framework for understanding economic dynamics. By documenting these developments, the paper demonstrates the significant role that mathematical modeling has played in advancing economic theory, providing tools to quantitatively analyze complex economic phenomena and driving the discipline towards greater analytical precision and rigor. This analysis emphasizes how symmetry principles, such as balance between inputs and outputs, equilibrium in supply and demand, and proportionality in growth models, underpin many economic theories.
Management of Left Atrial Tachyrhythms in the Setting of HFpEF with Pulsed-Field Ablation: Treating Fire with Water?
Authors: Chinyere Tyler Chinedu , Chinyere Ikeotunye Royal
Published: September 2024

Atrial fibrillation (AF) in the setting of heart failure (HF) with preserved ejection fraction (HFpEF) is a prevalent comorbidity and is enabled by adverse left atrial (LA) remodeling, dilation, and scar tissue formation. These changes are facilitated by poor left ventricular compliance. A growing body of clinical evidence and medical guidelines suggest that managing atrial tachyrhythms with catheter ablation (CA) is paramount to treating concomitant HF. This recommendation is complicated in that thermal CA modalities, namely radiofrequency ablation and cryoablation, are both therapeutic via inducing additional scar tissue. AF treatment with thermal CA may compound the atrial scar burden for patients who already have extensive scars secondary to HFpEF. Therefore, thermal CA could act as “gasoline” to the slowly burning “fire” within the LA, increasing the rate of AF recurrence. Pulsed-field ablation (PFA), which utilizes high-voltage irreversible electroporation, is a non-thermal CA technique that is capable of disrupting reentrant microcircuits and arrhythmogenic foci without inducing significant scar burden. PFA has the potential to mitigate the strong fibrosis response to thermal CA that predisposes to AF by serving as “water” rather than “gasoline”. Thus, PFA may increase the efficacy and durability of CA for AF in HFpEF, and subsequently, may decrease the risk of procedural complications from repeat CAs. In this article, we provide a summary of the clinical concepts underlying HFpEF and AF and then summarize the data to date on the potential of PFA being a superior CA technique for AF in the setting of comorbid HFpEF.
Linking Solution Microstructure and Solvation Thermodynamics of Mixed-Solvent Systems: Formal Results, Critical Observations, and Modeling Pitfalls
Authors: Chialvo Ariel A.
Published: September 2024

This review provides a critical assessment of the current state of affairs regarding the solvation thermodynamics involving mixed-solvent systems. It focuses specifically on (i) its rigorous molecular-based foundations, (ii) the underlying connections between the microstructural behavior of the mixed-solvent environment and its thermodynamic responses, (iii) the microstructural characterization of the behavior of the mixed-solvent environment around the dilute solute via unique fundamental structure-making/-breaking functions and the universal preferential solvation function, (iv) the discussion of potential drawbacks associated with the molecular simulation-based determination of thermodynamic preferential interaction parameters, and (v) the forensic examination of frequent modeling pitfalls behind the interpretation of preferential solvation from experimental data of Gibbs free energy of solute transfer.
Closed-Form Solutions for Current Distribution in Ladder-Type Textile Heaters
Authors: Jansen Kaspar M. B.
Published: September 2024

Textile heaters are made from knitted conductive yarns integrated into their fabric, making them stretchable, washable, breathable and suitable for close-to-skin wear. However, the non-zero resistance in the lead wires causes non-uniform power distribution, which presents a design challenge. To address this, the electrical performance of the heaters is modeled as an n-ladder resistor network. By using the finite difference method, simple, closed-form expressions are derived for networks with their power source connected to input terminals A1B1 and A1Bn, respectively. The exact results are then used to derive approximations and design criteria. The solutions for the ladder networks presented in this paper apply to a wider class of physical problems, such as irrigation systems, transformer windings, and cooling fins.
Current Uses and Contributions of the Protective and Compensatory Experiences (PACEs) Measure: A Scoping Review
Authors: Schmitz Natale , Aafjes-van Doorn Katie , Békés Vera
Published: September 2024

Background: The effects of adverse childhood experiences on adult psychopathology have received ample attention in empirical studies. Despite the extensive focus on the effects of childhood adversity, research on the protective factors that might mitigate these effects remains limited. The most common measure of childhood adversity is the Adverse Childhood Experiences (ACEs) questionnaire. In 2016, a novel addition, called the ‘Protective and Compensatory Experiences’ (PACEs) questionnaire was created to be administered in tandem with the ACEs measure. Objective: Developing an understanding of PACEs can provide insight into the positive impacts of protective factors and potential ways to build resiliency among those with adversity. The aim of the present review is to provide an overview of the uses and findings of the PACEs measure and its potential contributions in the field. Methods: A literature search was used to identify peer-reviewed publications, dissertations, and conference presentations on empirical data, reporting on the administration of the PACEs measure to a clinical or community population and their findings. Results: A total of 17 studies were identified that used the PACEs. Ten empirical studies were used to explore the impact of PACEs within the realm of child development, including research on pregnant mothers, parenting, and child resilience. Six empirical studies were used to investigate the prevalence of PACEs in various at-risk populations, such as sexual minorities, racial minorities, veterans, individuals with chronic pain, and healthcare providers after the COVID-19 pandemic. One empirical study used PACEs to track attrition in longitudinal research studies. Conclusions: Overall, there appears to be little research on the PACEs, but the empirical studies that we identified suggest that PACEs may increase resiliency among various populations. Future research into positive and negative childhood experiences would benefit from the information assessed with the PACEs measure.
Acute Care Rehabilitation Services Utilization and Post-Acute Discharge Destination among Adults with Traumatic Brain Injury: The Moderating Effect of Functional and Physical Performance at Discharge
Authors: Bukhari Rayyan A. , Weaver Jennifer A. , Sharp Julia , Hoffman Amanda , Davalos Deana , Malcolm Matt P. , Graham James E.
Published: September 2024

Objective: To investigate whether the relationships between acute care occupational therapy (OT) and physical therapy (PT) utilization and community discharge are moderated by functional or physical performance at discharge among individuals hospitalized with traumatic brain injury (TBI). Setting: 14 acute care hospitals in the state of Colorado. Participants: We studied 5599 adults hospitalized with TBI between June 2018 and April 2021. Design: In a secondary analysis of de-identified electronic health record (EHR) data, multivariable moderation logistic regression models were performed to calculate odds ratios (ORs) for the likelihood of community discharge among patients who utilized OT/PT services. Main Measures: Functional (activities of daily living [ADL]) and physical (mobility) performance at discharge, OT and PT utilization, and community discharge status. Results: Overall, 67% of patients discharged to the community. The mean age of the sample was 55 years (SD = 20 years). Most participants were male (64%) and non-Hispanic White (72%). Mean hospital length of stay was 6 days (SD = 6 days). Both OT and PT utilization (OT: OR = 1.21, 95% CI [1.11, 1.33]; PT: OR = 1.22, 95% CI [1.14, 1.30]) and discharge ADL and mobility scores (ADL: OR = 1.34, 95% CI [1.30, 1.39]; mobility: OR = 1.38, 95% CI [1.33, 1.42]) were significantly and positively associated with community discharge. The OT and PT utilization-by-discharge ADL and mobility interaction terms yielded slightly negative, but statistically significant moderation effects in both models (ORs = 0.99, 95% CIs [0.98, 1.00]); indicating the magnitude of the OT and PT utilization effect diminished as ADL and mobility scores increased. Several sociodemographic characteristics and clinical factors were also independently associated with community discharge in both models (p-values < 0.001–0.04). Conclusions: Greater OT and PT utilization was associated with increased odds of community discharge. Similarly, higher ADL and mobility scores at discharge were associated with increased odds of community discharge. The small, but statistically significant negative interaction terms in both models indicated that the magnitude of the OT and PT utilization effect diminished as ADL and mobility scores increased. This study’s findings can guide occupational and physical therapists in their efforts to facilitate a safe transition to the community for patients with TBI.
Pediatric Respiratory Hospitalizations in the Pre-COVID-19 Era: The Contribution of Viral Pathogens and Comorbidities to Clinical Outcomes, Valencia, Spain
Authors: Bosch Castells Valérie , Mira-Iglesias Ainara , López-Labrador Francisco Xavier , Mengual-Chuliá Beatriz , Carballido-Fernández Mario , Tortajada-Girbés Miguel , Mollar-Maseres Joan , Puig-Barberà Joan , Díez-Domingo Javier , Chaves Sandra S.
Published: September 2024

Viral respiratory diseases place a heavy burden on the healthcare system, with children making up a significant portion of related hospitalizations. While comorbidities increase the risk of complications and poor outcomes, many hospitalized children lack clear risk factors. As new vaccines for respiratory viral diseases emerge, this study examined pediatric respiratory hospitalizations, focusing on viral etiology, complication rates, and the impact of comorbidities to guide future policy. Data were analyzed from eight pre-COVID influenza seasons (2011/2012–2018/2019) involving patients under 18 years hospitalized with respiratory complaints across 4–10 hospitals in Valencia, Spain. Respiratory specimens were tested for eight viral targets using multiplex real-time reverse-transcription polymerase chain reaction. Demographics, clinical outcomes, discharge diagnoses, and laboratory results were examined. Among the hospitalized children, 26% had at least one comorbidity. These children had higher rates of pneumonia, asthma exacerbation, and pneumothorax, and were twice as likely to require ICU admission, though mechanical ventilation and length of stay were similar to those without comorbidities. Respiratory syncytial virus (RSV) was the most common virus detected (23.1%), followed by rhinovirus/enterovirus (9.5%) and influenza (7.2%). Viral codetection decreased with age, occurring in 4.6% of cases. Comorbidities increase the risk of complications in pediatric respiratory illnesses, however, healthcare utilization is driven largely by otherwise healthy children. Pediatric viral vaccines could reduce this burden and should be further evaluated.
Impact of Vaccination on Intra-Host Genetic Diversity of Patients Infected with SARS-CoV-2 Gamma Lineage
Authors: Marques Beatriz de Carvalho , Banho Cecília Artico , Sacchetto Lívia , Negri Andreia , Vasilakis Nikos , Nogueira Maurício Lacerda
Published: September 2024

The high transmissibility, rapid evolution, and immune escape of SARS-CoV-2 variants can influence the course of infection and, in turn, morbidity and mortality in COVID-19, posing a challenge in controlling transmission rates and contributing to the emergence and spread of new variants. Understanding the factors that shape viral genetic variation is essential for comprehending the evolution and transmission of SARS-CoV-2, especially in vaccinated individuals where immune response plays a role in the progression and spread of this disease. In this context, we evaluated the impact of immunity induced by the CoronaVac vaccine (Butantan/Sinovac) on intra-host genetic diversity, analyzing 118 whole-genome sequences of SARS-CoV-2 from unvaccinated and vaccinated patients infected with the Gamma variant. Vaccination with CoronaVac favors negative selection at the intra-host level in different genomic regions. It prevents greater genetic diversity of SARS-CoV-2, reinforcing the importance of vaccination in reducing the emergence of new mutations and virus transmission.
Intrafamilial Transmission of HTLV-1 and HTLV-2 in Indigenous Peoples of the Brazilian Amazon: Molecular Characterization and Phylogenetic Analysis
Authors: Abreu Isabella Nogueira , Freitas Felipe Bonfim , Sacuena Eliene Rodrigues Putira , Pereira Neto Gabriel dos Santos , Botelho Bruno José Sarmento , Lima Carlos Neandro Cordeiro , Freitas Vanessa de Oliveira , Barbosa dos Santos Mike , Lima Sandra Souza , Ishak Ricardo , Guerreiro João Farias , Vallinoto Antonio Carlos Rosário , Vallinoto Izaura Maria Cayres
Published: September 2024

Human T-limphotropic virus 1 infection has a global distribution, with a high prevalence in some regions of Brazil and the world, while HTLV-2 infection is endemic mainly among indigenous people and drug users. To analyze intrafamilial transmission of HTLV-1/2 in five Kayapó indigenous peoples (Gorotire, Kararaô, Kokraimoro, Kubenkokre, and Xikrin do Bacajá), we investigated 1452 individuals who underwent serological and molecular tests. Among the 276 indigenous people with positive results, we identified intrafamily transmission in 42.7% of cases, representing 38 families. It was possible to suggest horizontal and vertical transmissions in 15.8% (6/38) and 47.4% (18/38) of the family groups, respectively. In 15.8%, it was not possible to suggest the route, which indicated that the transmission may have occurred through both vertical and horizontal routes. Through phylogenetic analyses, 35 samples positive for HTLV-2 were sequenced and classified as subtype 2c, and the two samples that tested positive for HTLV-1 were shown to belong to the cosmopolitan subtype, transcontinental subgroup (HTLV-1aA). This study confirms the intrafamilial transmission of HTLV-1/2 infection in indigenous people of the Brazilian Amazon, highlighting the importance of the sexual and mother-to-child transmission routes in maintaining the virus in these people.
Numerical Groundwater Model to Assess the Fate of Nitrates in the Coastal Aquifer of Arborea (Sardinia, Italy)
Authors: Schäfer Gerhard , Lincker Manon , Sessini Antonio , Carletti Alberto
Published: September 2024

The Arborea plain in Sardinia (Italy) is classified as a nitrate vulnerable zone (NVZ). In the present study, the individual work steps that are necessary to progress from the existing 3D hydrogeological model to a 3D numerical groundwater model using the interactive finite-element simulation system FEFLOW 7.4 are shown. The results of the transient flow model highlight the influence of the drainage network on the overall groundwater management: the total water volume drained by the ditches accounted for approximately 58% of the annual outflow volume. The numerical transport simulations conducted from 2012 to 2020 using hypothetical field-based nitrate input scenarios globally underestimated the high concentrations that were observed in the NVZ. However, as observed in the field, the computed nitrate concentrations in December 2020 still varied strongly in space, from several mg L−1 to several hundreds of mg L−1. The origin of these remaining local hotspots is not yet known. The modeling of rainfall fluctuations under the influence of climate change revealed a general long-term decline in the groundwater level of several tens of centimeters in the long term and, in conjunction with a zero-nitrate scenario, led to a significant decrease in nitrate pollution. Although hotspots were attenuated, the concentrations at several monitoring wells still exceeded the limit value of 50 mg L−1.
Characteristics of Runoff Changes during the Freeze–Thaw Period and the Response to Environmental Changes in a High-Latitude Water Tower
Authors: Xu Moran , Chen Yongming , Liu Dongmei , Qi Peng , Sun Yingna , Guo Licheng , Zhang Guangxin
Published: September 2024

Runoff in high-latitude water towers is crucial for ecological and human water demands during freeze–thaw periods but is highly sensitive to climate change and human activities. This study focuses on Changbai Mountain, the source of the Songhua, Tumen, and Yalu rivers, analyzing runoff variation and its environmental responses using the modified Mann–Kendall method and the water–energy balance equation. The results show significant non-stationarity in runoff trends, with an increasing trend in the Yalu River basin (p < 0.05), a decreasing trend in the Tumen River basin (p < 0.05), and complex trends in the Songhua River basin. Additionally, the relationship between runoff and driving factors during freeze–thaw periods was quantized. When the snowfall, potential evapotranspiration (E0), and subsurface changes increased by 1%, the snowmelt runoff changes were 1.58~1.96%, −0.58~−1.96%, and −0.86~−1.11% in the Yalu River basin; 2.16~2.35%, −1.04~−1.35%, and −1.56~−1.95% in the Tumen River basin; and 1.44~2.41%, −0.44~−1.41%, and −0.72~−1.62% in the Songhua River basin. The increased snowfall was the most prominent reason for the increase in snowmelt runoff during spring. The results of this study will benefit ecosystem conservation and the stability of downstream water supply in this high-latitude water tower.
Biogeochemical Fe-Redox Cycling in Oligotrophic Deep-Sea Sediment
Authors: Zhan Di , Xia Qingyin , Li Gaoyuan , Li Xinyu , Li Yang , Hu Dafu , Hu Jinglong , Zhou Ziqi , Sheng Yizhi
Published: September 2024

Biogeochemical redox cycling of iron (Fe) essentially governs various geochemical processes in nature. However, the mechanistic underpinnings of Fe-redox cycling in deep-sea sediments remain poorly understood, due to the limited access to the deep-sea environment. Here, abyssal sediment collected from a depth of 5800 m in the Pacific Ocean was characterized for its elemental, mineralogical, and biological properties. The sedimentary environment was determined to be oligotrophic with limited nutrition, yet contained a considerable amount of trace elements. Fe-redox reactions in sediment progressed through an initial lag phase, followed by a fast Fe(II) reduction and an extended period of Fe(III) oxidation before achieving equilibrium after 58 days. The presence of an external H2 electron donor significantly increased the extent of Fe(III) bio-reduction by 7.73% relative to an amendment-free control under high pressure of 58 MPa. A similar enhancement of 11.20% was observed following lactate amendment under atmospheric pressure. Fe(II) bio-oxidation occurred after 16 days’ anaerobic culturing, coupled with nitrate reduction. During Fe bio-redox reactions, microbial community composition was significantly shaped by the presence/absence of an electron donor, while the hydrostatic pressure levels were the controlling factor. Shewanella spp. emerged as the primary Fe(III)-reducing microorganisms, and were stimulated by supplemented lactate. Marinobacter hydrocarbonoclasticus was the predominant Fe(II)-oxidizing microorganism across all conditions. Our findings illustrate continuous Fe-redox reactions occurring in the deep-sea environment, with coexisting Fe-redox microorganisms determining the oscillation of Fe valence states within the abyssal sediment.
Study on Transient Flow Characteristics of Pump Turbines during No-Load Condition in Turbine Mode Startup
Authors: Li Xianliang , Dong Haiyang , Lu Yonggang , Li Xiji , Wang Zhengwei
Published: September 2024

To address the escalating demand for power grid load regulation, pumped storage power stations must frequently switch between operational modes. As a key component of such stations, the pump turbine has seen extensive research on its steady-state flow behavior. However, the intricate dynamics of its transient flow have not yet been thoroughly examined. Notably, the no-load condition represents a quintessential transient state, the instability of which poses challenges for grid integration. Under certain extreme conditions, this could result in the impairment of the unit’s elements, interruption of its functioning, and endangerment of the security of the power station’s output as well as the stability of the power network’s operations. Thus, investigating the flow characteristics of pump turbines under no-load conditions is of significant practical importance. This paper focuses on the transient flow characteristics of a Weifang hydro-generator unit under no-load conditions, exploring the internal unsteady flow features and their underlying mechanisms. The study reveals that under no-load conditions, the runner channel is obstructed by a multitude of vortices, disrupting the normal pressure gradient within the runner and resulting in substantial hydraulic losses. Within the draft tube, a substantial reverse flow zone is present, predominantly along the walls. This irregular flow pattern within the tube generates a potent, stochastic pressure fluctuation. In addition to the interference frequencies of dynamic and static origins, the pressure pulsation frequency at each measurement point also encompasses a substantial portion of low-frequency, high-amplitude components.
Effects of Alternative Stress of Drought–Flood on Summer Maize Growth and Yield
Authors: Yuan Hongwei , Peng Ziwei , Yang Jiwei , Liu Jia , Zhao Hui , Ning Shaowei , Xu Xiaoyan , A. Rong , Li Huimin
Published: September 2024

The present study aims to assess the responses of growth, development, and yield of summer maize to the effects of drought–flood abrupt alternation through comparative tests under single flood, single-drought, and drought–flood abrupt alternation treatments with varying degrees from the elongation to the tasseling stage during the 2021 and 2022 growing seasons. In addition, a water production function model for summer maize was preliminarily established based on the results obtained under the drought–flood abrupt alternation scenarios. The results indicated that drought–flood abrupt alternation with early moderate drought had a certain restricting effect on summer maize, while early moderate drought followed by waterlogging had a compensation effect on the cultivated summer maize. Furthermore, both mild and severe drought followed by waterlogging exert a significant combined constraint on the normal growth and development of summer maize, leading to a sharp decline in maize yield, necessitating a shorter timeframe for mitigating and reducing the effects of waterlogging. Additionally, the water production function model established through a multiple linear regression equation exhibits a high degree of fit and demonstrates a strong linear relationship. This study provides crucial insights for agricultural practices and water resource management strategies, particularly in the evaluation of the integrated impacts of drought and waterlogging on crop yields and the formulation of effective disaster risk reduction and mitigation measures in response to these impacts.
Model Predictive Control with Powertrain Delay Consideration for Longitudinal Speed Tracking of Autonomous Electric Vehicles
Authors: Lee Junhee , Jo Kichun
Published: September 2024

Accurate longitudinal control is crucial in autonomous driving, but inherent delays and lag in electric vehicle powertrains hinder precise control. This paper presents a two-stage design for a longitudinal speed controller to enhance speed tracking performance in autonomous electric vehicles. The first stage involves designing a Model Predictive Control (MPC) system that accounts for powertrain signal delay and response lag using a First Order Plus Dead Time (FOPDT) model integrated with the vehicle’s longitudinal dynamics. The second stage employs lookup tables for the drive motor and brake system to convert control signals into actual vehicle inputs, ensuring precise throttle/brake pedal values for the desired driving torque. The proposed controller was validated using the CarMaker simulator and real vehicle tests with a Hyundai IONIQ5. In real vehicle tests, the proposed controller achieved a mean speed error of 0.54 km/h, outperforming conventional PID and standard MPC methods that do not account for powertrain delays. It also eliminated acceleration and deceleration overshoots and demonstrated real-time performance with an average computation time of 1.32 ms.
The Safety Risks of AI-Driven Solutions in Autonomous Road Vehicles
Authors: Mirzarazi Farshad , Danishvar Sebelan , Mousavi Alireza
Published: September 2024

At present Deep Neural Networks (DNN) have a dominant role in the AI-driven Autonomous driving approaches. This paper focuses on the potential safety risks of deploying DNN classifiers in Advanced Driver Assistance System (ADAS) systems. In our experience, many theoretically sound AI-driven solutions tested and deployed in ADAS have shown serious safety flaws in practice. A brief review of practice and theory of automotive safety standards and related body of knowledge is presented. It is followed by a comparative analysis between DNN classifiers and safety standards developed in the automotive industry. The output of the study provides advice and recommendations for filling the current gaps within the complex and interrelated factors pertaining to the safety of Autonomous Road Vehicles (ARV). This study may assist ARV’s safety, system, and technology providers during the design, development, and implementation life cycle. The contribution of this work is to highlight and link the learning rules enforced by risk factors when DNN classifiers are expected to provide a near real-time safer Vehicle Navigation Solution (VNS).
Comparison of S-N Curves from International Fatigue Design Standards for a Better Understanding of the Long-Term Operation of Offshore Wind Turbine Welded Foundations
Authors: Della Santa Federico , Zorzi Gianluca , Mehmanparast Ali
Published: September 2024

Fatigue poses significant challenges for the structural integrity of monopiles, the most common type of foundation for offshore wind turbines. These structures are usually manufactured by rolling and welding together large steel plates. Offshore wind turbines are typically designed to operate for 20 years or longer, thus the number of cycles to failure (Nf) that these structures are required to withstand lies in the so called ultrahigh-cycle fatigue (UHCF) regime (Nf>108). Moreover, because, in the past few years, there has been a continuous increase in the size of monopiles, the fatigue life reduction caused by the utilization of thicker steel plates plays an important role (i.e., thickness or size effect). Different regions worldwide apply distinct codes to ensure that offshore structures can withstand fatigue damages, but most of them are tailored for the high-cycle fatigue (HCF) regime. This paper seeks to compare a selection of these codes, highlighting both differences and similarities, while also questioning their suitability in the UHCF regime and for much thicker structures (compared to the reference thickness values reported in the standards). By doing so, it aims to contribute to the ongoing efforts to optimize the efficiency of the fatigue life assessment of offshore wind infrastructures. The focus of this study is on double-V transverse butt welds and their S-N curves in air and seawater (with and without cathodic protection), while the analyzed standards are those provided by the Det Norske Veritas (DNV-RP-C203-2021), the British Standards Institution (BS 7608, including the amendments of 2015), and the European Union (EN 1993-1-9, updated in 2005). The results have been discussed in terms of the level of conservatism that each of these standards offers and in identifying the areas for further research to enable extended lives in the current and future offshore wind monopile foundations.
Этнокультурная трансформация чукотского оленеводства в условиях рыночной экономики: от традиции к неотрадиции
Authors:   North-East Interdisciplinary Scientific Research Institute n. a. N. A. Shilo, FEB RAS, Magadan, Khakhovskaya L. N.
Published: September 2024

The author considers the current economic and social processes in reindeer herding in Chukotka. The study was conducted in line with the concepts of historicism and neotraditionalism. In the postperestroika period, the privatization of reindeer herds and an attempt to return to the traditional life resulted in a sharp reduction of domestic reindeer herds. In the second half of the 1990s, the reverse process of unification of the surviving private reindeer herding farms and the restoration of governmental structures began. It is shown that the supporting role of the government has been an integral socio-economic condition for the Chukchi reindeer herding both in the Soviet times and under the market economy. The method of ethnic nature management, equally based on the historical consistency of the traditional indigenous way of life and the modern capabilities of a much wider community, its institutions and the government, in general, is a neo-traditional phenomenon.
Paleoenvironmental Changes in Arctic Chukotka during the Early Pleistocene (Marine Isotope Stages 91-82)
Authors:   North-East Interdisciplinary Scientific Research Institute n. a. N. A. Shilo, FEB RAS, Magadan, Lozhkin A. V. , Andreev A. A. ,   Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, Potsdam, Germany, Anderson P. M. ,   University of Washington, Department of Earth and Space Sciences and Quaternary Research Center, Seattle, WA, USA, Korzun Yu. A. ,   North-East Interdisciplinary Scientific Research Institute n. a. N. A. Shilo, FEB RAS, Magadan, Nedorubova E. Yu. ,   North-East Interdisciplinary Scientific Research Institute n. a. N. A. Shilo, FEB RAS, Magadan
Published: September 2024

The continuous palynological record from Lake El'gygytgyn , approximating marine oxygen isotope stages (MIS) 91-82, reflects the response of plant communities in arctic Chukotka to interglacial, glacial, and interstadial climates. According to the current lake age model, the 12 pollen zones described in this paper correspond to the interval 2.350-2.146 Ma BP, the upper limit of which is determined by the Reunion paleomagnetic event (2.140 Ma BP). However, multiple discrepancies between pollen zone and MIS boundaries show the need for a thorough revision of the chronology for the lake sediments. Given the current age scheme, the warmest climatic conditions occurred during MIS 91, whereas the coldest interval corresponds to the second half of MIS84. Interglacial vegetation was Larix forest with Pinus sibirica, Abies, and Picea. A mix of Larix forest-tundra and shrub tundra characterized cooler climates.
Общественно-политический дискурс и советская историография истории Северо-Востока СССР в 1950-е - начале 1980-х гг.
Authors:   North-East Interdisciplinary Scientific Research Institute n. a. N. A. Shilo, FEB RAS, Magadan, Grebenyuk P. S.
Published: September 2024

The article discusses the socio-political discourse and scientific views on the post-Stalin history of the USSR's North-East published in the Soviet Union in the 1950s through the early 1980s. Particular attention is paid to aspects of state administration as a key factor in the regional development. In regional historiography, the author identifies three main development stages, differing in the research themes, methodology, and source base. The paper analyzes the scientific publication coverage of power and governance issues in the context of the confrontation between Dalstroy and the Communist party organs of Khabarovsk Krai, as well as the role of Magadan Oblast formation in 1953 in transforming the regional historical concept. The author shows the thesis dominant in socio-political discourse about the leading role of the Communist party organs in the development of the region and the negative influence of Dalstroy determining the framework for interpreting the region's past in scientific works. The article traces the evolution of assessing Dalstroy activities, industrial development, science, and the status of indigenous peoples in the works of historians, economists, and ethnographers, revealing differences between ideological and scientific approaches to regional studies. The author comes to the conclusion on a gradual accumulation of factual materials and overcoming of ideological cliches in the late Soviet period. It is emphasized that the Soviet historiography of the 1950s - early 1980s had serious limitations in covering the history of the North-East, due to ideological bias, limited access to archives, one-sided assessments, and suppression of inconvenient facts. Simultaneously, the emergence of studies characterized by a more balanced approach, introducing new sources into scientific circulation, raising important research questions and containing valuable factual material, is noted as the foundation for further in-depth study of the regional history.