Influence Of Dynamics Research Articles

Revealing the power play: Unraveling the dynamic environment's influence on intangible resources and sustainable competitive advantage

Purpose – The objective of this study is to examine the impact of the dynamic environment on the relationship between intangible resources and sustainable competitive advantage in large and medium-sized manufacturing firms operating across various sectors.Design/methodology/approach – The research sample was selected using cluster random sampling, which is based on company size, namely large and medium-sized companies only, totalling 257 companies as the unit of analysis. A questionnaire was utilized to collect data. While the study employed residual technique and the Hayes (2012) method for variable assessment, the primary method used was a causal analysis.Findings – The findings indicate that the dynamic environment does not act as a moderating variable, implying that the sustainability of the organization is unaffected by the firm’s dynamic environment.Research limitations/implications – Research findings can play a pivotal role in corporate strategy, enabling companies to reach a sustainable competitive advantage by closely monitoring environmental changes. Practical implications – This research can assist companies in developing business strategies that are more adaptive to environmental changes, enabling them to actively monitor and identify emerging opportunities and threats. By doing so, companies can take appropriate steps to maintain their competitive advantage.Originality/value – Previous researchers have rarely conducted this research, primarily due to a lack of understanding on how to effectively connect dynamic environments with intangible resources in order to achieve sustainable competitive advantage.

Dynamic Graph Convolutional Network-Based Prediction of the Urban Grid-Level Taxi Demand–Supply Imbalance Using GPS Trajectories

The objective imbalance between the taxi supply and demand exists in various areas of the city. Accurately predicting this imbalance helps taxi companies with dispatching, thereby increasing their profits and meeting the travel needs of residents. The application of Graph Convolutional Networks (GCNs) in traffic forecasting has inspired the development of a spatial–temporal model for grid-level prediction of the taxi demand–supply imbalance. However, spatial–temporal GCN prediction models conventionally capture only static inter-grid correlation features. This research aims to address the dynamic influences caused by taxi mobility and the variations of other transportation modes on the demand–supply dynamics between grids. To achieve this, we employ taxi trajectory data and develop a model that incorporates dynamic GCN and Gated Recurrent Units (GRUs) to predict grid-level imbalances. This model captures the dynamic inter-grid influences between neighboring grids in the spatial dimension. It also identifies trends and periodic changes in the temporal dimension. The validation of this model, using taxi trajectory data from Shenzhen city, indicates superior performance compared to classical time-series models and spatial–temporal GCN models. An ablation study is conducted to analyze the impact of various factors on the predictive accuracy. This study demonstrates the precision and applicability of the proposed model.

Influence of energy poverty on agricultural water efficiency using a panel data study in China

The research attention is increasingly directed towards the effective integration of the 17 United Nations Sustainable Development Goals (SDGs) within the limitations of the real world and amidst intersectoral conflicts. In light of the inextricable relationship between irrigation and energy, the objective of this study is to identify potential avenues for achieving the SDG6 and SDG7 goals of enhancing water use efficiency in agriculture and eradicating energy poverty, respectively. Utilizing data from 30 Chinese provinces from 2002 to 2017, this study explores the dynamic influence of energy poverty on agricultural water efficiency with a system generalized method of moments methodology. The findings suggest that energy poverty may greatly reduce agricultural water efficiency. The heterogeneity study shows that when agricultural water efficiency grows, the negative impacts of energy poverty continue to fade. Based on an assessment of various processes, results suggest that non-farm employment and cropping structure modification is a prominent conduit via which energy poverty negatively influences agricultural water efficiency.

What affects the corporate social responsibility practices of Chinese international contractors considering dynamic interactions? A hybrid structural equation modeling–fuzzy cognitive map approach

PurposeCorporate social responsibility (CSR) practices frequently result in increased costs for Chinese international contractors (CICs), where profitability is the primary objective; therefore, internal corporate drivers and external pressures play a crucial role in encouraging them to engage in sustainable CSR practices. This study systematically examines the dynamic impact of internal and external stakeholders on the CSR practices of CICs.Design/methodology/approachThis study adopted a structural equation model (SEM) to identify and validate a correlation between stakeholders and CSR practices. Standardized causal coefficients estimated in SEM were used to construct a fuzzy cognitive map (FCM) model to illustrate the effect of stakeholders on CSR practices with linkage direction and weights. Predictive, diagnostic, and hybrid analyses were performed to dynamically model the variation in stakeholders on the evolution of CSR practices.FindingsThe empirical results demonstrate that (1) employee participation in CSR has the greatest impact on CSR practices, followed by CSR strategies, partner and customer expectations, and finally government regulations. (2) In the early stage of CSR fulfillment, CSR strategies have the greatest influence on CSR practices; in the later stage of CSR fulfillment, employee participation in CSR has the greatest influence on CSR practices. (3) In the long run, the most effective and economical integrated interventions are those that address employee participation in CSR, partner expectations and customer expectations, and intervention in CSR strategies is needed if the level of CSR practice needs to be improved in the short term.Originality/valueThis study contributes to the research on the influence mechanisms of CSR practices of CICs and systematically analyzes their dynamic influence on CSR practices of CICs from the perspective of stakeholders.

Kinetics release of heavy metal Cu from sediment affected by the mimic vegetation under unidirectional flows and regular waves

The process of heavy metal contamination in wetlands is becoming increasingly prevalent due to rapid urbanization. Heavy metals deposited in the sediment can be re-released into the water under disturbances, leading to significant impacts on the water environment and ecosystem. The release of heavy metals in wetlands is a complex phenomenon involving the intricate interplay of physicochemical and biological mechanisms. To gain insights into the adsorption-desorption processes of Cu under the influence of hydro-sediment dynamics, indoor experiments were conducted in this study, considering the presence of mimic vegetation at a short-term scale. The biological processes were not explicitly considered in these experiments. To analyze the kinetic processes of heavy metal migration at the water-sediment interface influenced by mimic vegetation under different hydrodynamic conditions, several equations were utilized, including the pseudo-second-order kinetic equation, double constant rate equation, Elovich equation, and parabolic diffusion equation. The pseudo-second-order kinetic equation can best simulate the Cu release process, with R2 ranging from 0.98 to 0.99. In order to enhance the accuracy of our predictions, the stem-Reynolds number (Red) is introduced into the original pseudo-second-order kinetic equation to account for the influence of mimic vegetation on the release of heavy metals. As a result of this improvement, the release processes of Cu were better predicted using the updated equations. The error between the improved equation and the actual measured value is reduced to less than 10 %. These improved methods are suitable for both unidirectional flow and wave conditions affected by mimic vegetation, and they offer vital parameters for numerical simulations of heavy metal transport in riverine or coastal wetlands. This research contributes to a better understanding of the complex processes governing heavy metal dynamics in wetland environments and provides valuable insights for effective environmental management and protection.

Decoupling Vegetation Dynamics and Climate Change Impacts on Runoff and Sediment in Loess Gully Areas

While climate change and vegetation dynamics have a strong relationship, few studies have specifically measured the effects of these factors on runoff and sediment development in the gully zone of the Loess Plateau. This study investigates the monthly impacts of climatic change and vegetation dynamics on water flow and sediment movement in the gully zone of the Loess Plateau between 2000 and 2016. In this study, the standard gully watershed of the Loess Plateau is investigated using partial least squares structural equation modeling (PLS-SEM). The state of vegetation in the watershed is characterized by utilizing the vegetation index obtained using the Moderate Resolution Imaging Spectroradiometer (MODIS), along with monthly hydro-meteorological and vegetation data. The collective impacts of vegetation dynamics, climate change, and runoff contribute to 74.3% of the monthly fluctuations in sediment levels. The data indicate that 31.6% of the monthly runoff variability can be ascribed to the combined influence of climate change and vegetation dynamics. Climate change significantly influences flow and sediment via direct and indirect mechanisms, primarily by altering the growth and development of vegetation, which subsequently impacts both runoff and sediment. The impact of vegetation on sediment (−0.246) is more pronounced compared to its impact on runoff (−0.239). Furthermore, the impact of vegetation on sediment (−0.038) was significantly less significant compared to the impact on runoff (−0.208). Hence, the vegetation in the watershed primarily mitigates sediment deposition and suspended sediment transit in the water body by regulating runoff, thereby reducing the sediment load. This study examines the intricate correlation between climate change and vegetation dynamics on water flow and sediment deposition in the gully region of the Loess Plateau. It can serve as a helpful resource for managing water resources, allocating agricultural water, and planning soil conservation in the region.

Women leaders' lived experiences of bravery in leadership

PurposeThe research aims to understand the stories of women leaders who have demonstrated bravery in leadership. By analyzing their lived experiences through storytelling and narratives, it seeks to shed light on the challenges and motivations behind their brave actions, contributing to a deeper understanding of bravery in leadership within gender and organizational contexts.Design/methodology/approachThis study adopts a qualitative multiple case study approach, focusing on the autobiographical accounts of three women leaders to explore their experiences of bravery in leadership. Utilizing narrative analysis (NA), it is grounded in ethical leadership theory and narrative identity theory. The research method involves cross-analyzing these narratives to unearth themes that depict a multifaceted view of bravery, including moral courage and ethical decision-making.FindingsThe study reveals various themes of bravery in leadership, such as moral courage, authenticity, resilience and ethical decision-making. These findings enhance the understanding of bravery's role in ethical conduct and transformative change, highlighting the complex manifestations of bravery in women's leadership practices.Research limitations/implicationsThis study contributes to the broader discourse on bravery in leadership, especially for women. It offers insights into how bravery is integral to ethical conduct and transformative leadership and sheds light on the influence of gender dynamics on leadership experiences. This study significantly enriches the discourse on bravery in leadership, with a particular focus on women's experiences. It delves into how bravery, encompassing moral courage and authenticity, is crucial for ethical conduct and transformative leadership. By highlighting the stories of women leaders, the research underscores the complex interplay between bravery and gender dynamics within organizational contexts. It challenges traditional perceptions of leadership and bravery, advocating for a more nuanced understanding that recognizes the unique challenges and strengths of women leaders. Furthermore, this study paves the way for future research to explore diverse dimensions of bravery in leadership, encouraging a more inclusive approach that values different perspectives and experiences.Practical implicationsThe findings of this study advocate for empowering leadership practices and guide the development of a courageous leadership landscape. Current events show evidence that many organizations lack the integration of bravery as a core leadership trait. These narratives of bravery in women's leadership can serve as a powerful catalyst for inspiring all leaders These stories can guide leaders across various levels to embrace bravery in their decision-making and leadership styles. The integration of these insights into organizational policies and leadership development programs can lead to a more courageous, ethical and transformative leadership landscape.Social implicationsThe research emphasizes the need for inclusive approaches to leadership and bravery, challenging dominant gender norms. It underscores the importance of acknowledging and valuing women leaders' stories, thereby empowering their narratives.Originality/valueThe study adds value to the field by unveiling the often untold narratives around bravery in leadership. Findings can assist in fostering environments where diverse expressions of bravery are recognized and valued. Findings have the potential to inspire a new generation of leaders, across all genders, to embrace bravery in their roles, thereby enriching the leadership landscape with diverse, ethical and courageous practices. This research not only contributes to academic discourse but also has real-world implications, encouraging organizations to reevaluate and evolve their leadership models to be more inclusive and effective in today's dynamic and diverse global environment.

Leukotriene B4 receptor knockdown affects PI3K/AKT/mTOR signaling and apoptotic responses in colorectal cancer.

Colorectal cancer (CRC) presents a landscape of intricate molecular dynamics. In this study, we focused on the role of the leukotriene B4 receptor (LTB4R) in CRC, exploring its significance in the disease's progression and potential therapeutic approaches. Using bioinformatics analysis of the GSE164191 and the Cancer Genome Atlas-colorectal adenocarcinoma (TCGA-COAD) datasets, we identified LTB4R as a hub gene influencing CRC prognosis. Subsequently, we examined the relationship between LTB4R expression, apoptosis, and the phosphoinositide 3-kinase/protein kinase B/mammalian target of rapamycin (PI3K/AKT/mTOR) signaling pathway through cellular and mice experiments. Our findings revealed that LTB4R is highly expressed in CRC samples and is pivotal for determining prognosis. In vitro experiments demonstrated that silencing LTB4R significantly impeded CRC cell viability, migration, invasion, and colony formation. Correspondingly, in vivo tests indicated that LTB4R knockdown led to markedly slower tumor growth in mice models. Further in-depth investigation revealed that LTB4R knockdown significantly amplified the apoptosis in CRC cells and upregulated the expression of apoptosis-related proteins, such as caspase-3 and caspase-9, while diminishing p53 expression. Interestingly, silencing LTB4R also resulted in a significant downregulation of the PI3K/AKT/mTOR signaling pathway. Moreover, pretreatment with the PI3K activator 740Y-P only partially attenuated the effects of LTB4R knockdown on CRC cell behavior, emphasizing LTB4R's dominant influence in CRC cell dynamics and signaling pathways. LTB4R stands out as a critical factor in CRC progression, profoundly affecting cellular behavior, apoptotic responses, and the PI3K/AKT/mTOR signaling pathway. These findings not only shed light on LTB4R's role in CRC but also establish it as a potential diagnostic biomarker and a promising target for therapeutic intervention.

Identification of Critical Links Based on Electrical Betweenness and Neighborhood Similarity in Cyber-Physical Power Systems.

Identifying critical links is of great importance for ensuring the safety of the cyber-physical power system. Traditional electrical betweenness only considers power flow distribution on the link itself, while ignoring the local influence of neighborhood links and the coupled reaction of information flow on energy flow. An identification method based on electrical betweenness centrality and neighborhood similarity is proposed to consider the internal power flow dynamic influence existing in multi-neighborhood nodes and the topological structure interdependence between power nodes and communication nodes. Firstly, for the power network, the electrical topological overlap is proposed to quantify the vulnerability of the links. This approach comprehensively considers the local contribution of neighborhood nodes, power transmission characteristics, generator capacity, and load. Secondly, in communication networks, effective distance closeness centrality is defined to evaluate the importance of communication links, simultaneously taking into account factors such as the information equipment function and spatial relationships. Next, under the influence of coupled factors, a comprehensive model is constructed based on the dependency relationships between information flow and energy flow to more accurately assess the critical links in the power network. Finally, the simulation results show the effectiveness of the proposed method under dynamic and static attacks.

A Novel Load Extrapolation Method for Multiple Non-Stationary Loads on the Drill Pipe of a Rotary Rig

The drill pipe of a rotary rig is subject to the dynamic influence of non-stationary loads, including rotation torque and applied force. In order to address the challenge of simultaneously extrapolating multiple non-stationary loads, a novel extrapolation framework is proposed. This framework utilizes rainflow counting to obtain mean and amplitude sequences of the loads. The extreme values of the amplitude sequence are fitted using the Generalized Pareto Distribution (GPD), while the median values are fitted using the Double Kernel Density Estimation (DKDE). By extrapolating the Inverse Cumulative Distribution Function (ICDF) based on the fitted distribution, a new amplitude sequence can be derived. The combination of this extrapolated amplitude sequence with the original mean sequence forms a new load spectrum. The results of applying the proposed extrapolation method to the drill pipe of a rotary rig demonstrate the ability of the method to yield conservative extrapolation results and accurately capture the variations in damage under the original working conditions.

Seasonal and Geographic Dynamics in Bioproperties and Phytochemical Profile of Limonium algarvense Erben.

This study delved into the influence of ecological and seasonal dynamics on the synthesis of secondary metabolites in the medicinal halophyte Limonium algarvense Erben, commonly known as sea lavender, and examined their antioxidant and anti-inflammatory properties. Aerial parts of sea lavender were systematically collected across winter, spring, summer, and autumn seasons from distinct geographic locations in southern Portugal, specifically "Ria de Alvor" in Portimão and "Ria Formosa" in Tavira. The investigation involved determining the total polyphenolic profile through spectrophotometric methods, establishing the chemical profile via liquid chromatography electrospray ionization quadrupole time-of-flight mass spectrometry (LC-ESI-QTOF-MS/MS), and evaluating in vitro antioxidant properties using radical and metal-based methods, along with assessing anti-inflammatory capacity through a cell model. Results unveiled varying polyphenol levels and profiles across seasons, with spring and autumn samples exhibiting the highest content, accompanied by the most notable antioxidant and anti-inflammatory capacities. Geographic location emerged as an influential factor, particularly distinguishing plants from "Ria de Alvor". Seasonal fluctuations were associated with environmental factors, including temperature, which, when excessively high, can impair plant metabolism, but also with the presence of flowers and seeds in spring and autumn samples, which also seems to contribute to elevated polyphenol levels and enhanced bioproperties of these samples. Additionally, genetic factors may be related to differences observed between ecotypes (geographical location). This study underscores sea lavender's potential as a natural source of antioxidant and anti-inflammatory agents, emphasizing the significance of considering both geographic location and seasonal dynamics in the assessment of phenolic composition and bioactive properties in medicinal plant species.

Towards a greener aging society: A dynamic and multilevel analysis of consumption carbon emissions among China's aging population

Climate change and population aging are inevitably the two most significant global challenges. Senior population growth in China is accompanied by an increase in consumption-induced carbon emissions (CCEs). The study's contribution of a deeper understanding of the intertemporal relationship between senior characteristics and multi-category CCEs provides the theoretical foundation for the formulation of mitigation strategies. This study utilizes panel data obtained from the China Health and Retirement Longitudinal Study (CHARLS) surveys in 2013, 2015, and 2018 to compute the per capita CCEs for elderly adults across eight major consumption categories. It also exposes the dynamic influences of individual characteristics on CCEs by estimating the mixed effects model. Based on the findings, accommodation, transportation and communication, and food comprise the top three categories of CCEs. Furthermore, seniors’ consumption preferences have gradually drifted from basic necessities to pleasurable experiences and healthcare services. Notably, seniors’ characteristics (e.g., income, health, education, marital status, residential type, and the degree of urbanization) exert distinctively dynamic impacts on each type of CCEs over time. In pursuit of a greener aging society, this study proposes various implementation strategies for mitigating CCEs among different actors (the government, community, manufacturers, and older individuals) in light of the captured intricate mechanism.

Magnetoelastic effect of kimberlite host rocks (Yakutsk diamondiferous province)

The purpose of the research is to conduct petro- and paleomagnetic studies of Early Paleozoic rocks of the carbonate basement of a number of diamond deposits in the Yakutsk diamondiferous province in order to study the changes in petrophysical parameter values in the dynamic influence zone of a kimberlite pipe. It is shown that the formation of kimberlite diatremes accompanied by pulsating explosions shifting upwards brings about thermoelastic stress fields in the kimberlite-bearing medium, which are characterized by epigenetic changes and associated petrophysical heterogeneities (petrophysical anomalies). Petromagnetic heterogeneities of burning and stress are, therefore, some of these petrophysical anomalies, within which kimberlite-bearing rocks have contrastingly changed their original magnetic characteristics under the action of thermodynamic processes. Primarily, petromagnetic anomalies are reflected in the changed nature of the anisotropy of magnetic susceptibility: from sedimentary to dyke geotype. In addition, petromagnetic anomalies of magnetic susceptibility can be accompanied by the formation of metachronous natural residual magnetization vectors in kimberlite host rocks. The dimensions of petromagnetic anomalies (petromagnetic heterogeneities) may significantly exceed the size of the kimberlite pipe itself, which facilitates identification and delineation of the most promising areas. Besides, the magnetoelastic effect can create zones close to the kimberlite bodies that are hardly permeable for relatively viscous, protocrystal-rich mafic magmas. This is the reason for their wedging out along petrophysical barriers that is presented by splitting into thin tongues, formation of trap-free windows and corridors, toroidal shafts with sharply increasing thickness in intrusions, etc. Having relatively elevated values of magnetic and density parameters, such forms of igneous formations will be reflected in the observed geophysical fields. Thus, it is reasonable to consider petromagnetic anomalies as an important petrophysical search criterion for the detection of bedrock kimberlite bodies.

Experimental analysis of packed bed cold energy storage in the liquid air energy storage system

Liquid air energy storage (LAES) is a large-scale energy storage technology with extensive demand and promising application prospects. The packed bed for cold energy storage (CES) is widely applied in LAES due to its safety and environmental friendliness. At present, most of the research on CES is theoretical analysis with symmetric cold energy transfer. Actually, the changes of the temperature field result in asymmetrical energy transfer in the energy storage and release processes, but there are few experimental studies on the dynamic characteristics and parameter influence mechanism. Therefore, a platform is established and experiments with different conditions are conducted. The dynamic characteristics of CES and the corresponding performance of LAES are analyzed. The results show that the thermocline develops until outlet temperature changes, leading to a decrease in the LAES efficiency. Under basic conditions, the energy and exergy efficiencies of CES are 90.3 % and 73.3 %. Selecting materials based on physical properties, reducing the flow rate and temperature range of the fluid can improve the packed bed performance. Furthermore, dynamic characteristics of CES gradually weaken until reaching a stable state after multi-cycle, with energy and exergy efficiencies decreasing by 2.5 % and 8.0 %. The decline in the LAES energy efficiency is 4.7 %.

Sinusoidally Pitching Foils in Transonic Flow: Insights into Flutter from Time Accurate Simulations

The impact of shock formation and vortex dynamics on airfoil flutter in the transonic regime is investigated through a series of two-dimensional time-accurate simulations of a sinusoidally pitching airfoil at a Reynolds number of 10,000. To gain insight into transonic flutter in the fully nonlinear regime, an energy-based approach that employs prescribed kinematics is utilized. Flutter stability boundaries are identified as a function of the Mach number and the reduced velocity, the latter of which is a surrogate for structural stiffness or flight speed. The results show a subcritical instability near Mach numbers of M∞=0.7 for a range of oscillation frequencies. Additionally, three shock-induced mechanisms are identified that influence the transfer of energy from the flow to the airfoil. The primary mechanism is flow separation triggered by the generation of a lambda shock. The influence of the lambda-shock dynamics on airfoil flow separation is determined for different Mach numbers, providing insight into the well-known “transonic dip” observed in flutter boundaries.

The Future of Social Media, Anesthesiology, and the Perioperative Physician.

Social media has rapidly developed in the past decade to become a powerful and influential force for patients, physicians, health systems, and the academic community. While the use of social media in health care has produced many positive changes, such as rapid dissemination of information, crowd-sourced sharing of knowledge, learning, and social interaction, social media in health care has also negative effects. Recent examples of negative impacts of social media include rapid and unchecked information dissemination leading to patient misinformation and inadvertent reputational harm for health care professionals due to engaging in controversial topics on public platforms. Members of the anesthesiology community, like other medical specialties, have rapidly adopted social media at many different levels. However, most anesthesiologists, health systems, and academic communities have little education, preparation, and guidelines on optimizing the use of social media technology while minimizing the risks of social media. Anesthesiology has been and will continue to be impacted by the forces of technology and the cultural influences of social media for the foreseeable future. The purpose of this article was to examine the recent history of social media adoption in anesthesiology and perioperative medicine, understand the current impact of social media across our specialty, and consider how the future development of technology and evolving social and cultural dynamic influences of social media will have on anesthesiology over the next quarter century.

A Corpus-based Study on China's Image in Emotions of Daodejing's English Translations from the Perspective of Communication Studies

Grounded in the Chinese-English parallel corpus of Daodejing, this study delves into the intricate interplay between emotional expression, communication effects, and the nuanced portrayal of China, unveiling the subtle impacts of translation in presenting the Chinese image. Through the establishment and analysis of the corpus, the research provides insights into the evolution of emotional elements in multiple translation versions spanning from 1868 to 2009. Quantitative analysis utilizing Pearson correlation coefficients reveals weak correlations between emotional expression and communication effects, both outbound and inbound . Despite a lack of statistical significance, qualitative analysis sheds light on valuable insights. In outbound communication, the nuanced handling of emotional expression, a weaker emphasis on positive emotions, and a deliberate avoidance of excessive negative emotions signify efforts to challenge traditional perceptions and portray a more complex image. In inbound communication, a tendency toward neutral emotional expression aims to offer Western readers a genuine and comprehensive understanding of China. Motivational analysis highlights the influence of cultural differences, historical contexts, reader expectations, and global dynamics on the translator's choices in emotional expression. Cultural nuances play a crucial role in shaping the Chinese image, emphasizing the translator's importance in flexibly navigating cross-cultural communication. In the era of globalization, this study aims to underscore the growing awareness among translators of the necessity to present cultural commonalities in emotional expression, fostering a broader understanding and acceptance of Chinese philosophy and values on the global stage.

The influence of fluvial and glacial watershed dynamics on Holocene sediment accumulation in Cariboo Lake, Columbia Mountains, British Columbia, Canada

Records of sedimentation collected from Cariboo Lake, situated in the northern Columbia Mountains, British Columbia, Canada, are analyzed to assess Holocene fluvial and glacial watershed dynamics. The aim of this study is to provide a proxy record of Holocene hydroclimate and glacier change from sediment archives at a higher temporal resolution compared to available records for the Interior Ranges of British Columbia. Deglacial and Holocene sediment accumulation is observed to reach a maximum thickness of 35 m in deep parts of the lake, using sub-bottom acoustic soundings. A transition from massive to well-stratified sediments is observed in the sub-bottom acoustic record during final phases of valley deglaciation in the region (~10.5–9 cal ka BP). Laminae couplets are interpreted to be deposited annually according to two 14C dates and a varve counting chronology. Two long cores, 2.9 and 3.8 m in length, were selected for analysis with estimated basal dates of 2 cal ka BP. Trends in downcore sediment characteristics were linked to environmental changes in the glaciated catchment headwaters at a temporal resolution of ~100 years. Upstream lake filtering of river floodplains and lakes prevented finding a higher temporal resolution linkage between the sediment characteristics and headwater fluvial and glacial activity. Despite some upstream filtering, the Cariboo River was found to be the primary source of sediment to the long core sites. Observed grain size and varve thickness from two long cores show above average trends, which are coincident with cooler temperatures and the primary glacier advances over the last 2 ka.

Retracted: Analysis of Dynamic Influence Mechanism of Network Public Opinion Based on Simulation Feature Extraction

Retracted: Analysis of Dynamic Influence Mechanism of Network Public Opinion Based on Simulation Feature Extraction

Evaluating biomass sustainability: Why below-ground carbon sequestration matters

Biomass, as a raw material, has been identified as a crucial component of decarbonization strategies to mitigate climate change. Decisions on which biomass should be targeted for different purposes are dependent on variables such as availability, chemical composition, and sustainability. Consumer perception often positions non-wood sources, such as bamboo, as environmentally preferable feedstocks for fiber-based product production. Yet, this perceived environmental benefit lacks robust scientific substantiation and standardized methodologies. This study addresses this gap by conducting a cradle-to-gate life cycle assessment (LCA) of twelve biomass production systems encompassing tree plantations, dedicated crops, and agricultural residues for energy and bioproducts manufacture. The evaluated feedstocks include southern softwood, wheat straw, rice straw, rice husk, hemp hurd, sugarcane bagasse, switchgrass, biomass sorghum (United States), eucalyptus (Brazil), bamboo (China), and northern softwood (Canada). Incorporating a critical yet often overlooked factor, this LCA integrates the potential soil organic carbon sequestration (SOC) via below-ground biomass for each biomass type. This consideration significantly alters the estimated carbon intensity per ton of feedstock, potentially reshaping sustainability perceptions as certain systems emerge as carbon sinks. From a cradle-to-farm gate perspective, the assessed global warming potential for biomass production spans 12–245 kg CO2eq per oven-dry ton (ODt), factoring only anthropogenic emissions. However, when accounting for SOC sequestration, the range shifts to −170 to 228 kg CO2eq per ODt, highlighting the potential role of biomass to act as carbon sink systems. By illuminating the dynamic influence of SOC sequestration, this study contributes to a more comprehensive understanding of biomass-related carbon emissions, shedding light on pathways to mitigate environmental impact.