Environmental Values Research Articles

Performance Evaluation of Carrier-Frequency Offset as a Radiometric Fingerprint in Time-Varying Channels.

The authentication of wireless devices through physical layer attributes has attracted a fair amount of attention recently. Recent work in this area has examined various features extracted from the wireless signal to either identify a uniqueness in the channel between the transmitter-receiver pair or more robustly identify certain transmitter behaviors unique to certain devices originating from imperfect hardware manufacturing processes. In particular, the carrier frequency offset (CFO), induced due to the local oscillator mismatch between the transmitter and receiver pair, has exhibited good detection capabilities in stationary and low-mobility transmission scenarios. It is still unclear, however, how the CFO detection capability would hold up in more dynamic time-varying channels where there is a higher mobility. This paper experimentally demonstrates the identification accuracy of CFO for wireless devices in time-varying channels. To this end, a software-defined radio (SDR) testbed is deployed to collect CFO values in real environments, where real transmission and reception are conducted in a vehicular setup. The collected CFO values are used to train machine-learning (ML) classifiers to be used for device identification. While CFO exhibits good detection performance (97% accuracy) for low-mobility scenarios, it is found that higher mobility (35 miles/h) degrades (72% accuracy) the effectiveness of CFO in distinguishing between legitimate and non-legitimate transmitters. This is due to the impact of the time-varying channel on the quality of the exchanged pilot signals used for CFO detection at the receivers.

Derivation of site-specific environmental quality guideline values for fuel-contaminated soils on sub-Antarctic Macquarie Island.

Accidental fuel spills associated with the storage, transfer, and use of diesel fuel for power generation have occurred on sub-Antarctic Macquarie Island since the establishment of the island's research station in 1948. An extensive in situ remediation program was implemented by the Australian government from 2009 to 2016 that used nutrient addition and air sparging to enhance the microbial degradation of petroleum products. During this period, a range of ecotoxicological assessments were conducted to better understand the impacts of fuel in soils on native biota and their sensitivity. This study compiles this ecotoxicological data into a species sensitivity distribution (SSD) to establish environmental quality guideline values (EQGVs) for fuels in soils on Macquarie Island. The SSD model includes 13 critical effect concentrations (CECs) selected using an expert judgment approach. These include data from functional and community-based tests as well as traditional single-species toxicity tests using microbes, plants, and invertebrates and representing the range of carbon content (~3%-48%) and fuel composition at various stages of degradation (from fresh to 18 months aged) in soils as occurs at contaminated sites on the island. A protective concentration (PC80) of 97 mg/kg TPH C9-C40 (95% CI 24-283) was derived for special Antarctic blend diesel from the SSD and is recommended as an appropriate site-specific EQGV and potential remediation target for the immediate station area in the vicinity of infrastructure. More conservative PC values are also provided for areas with higher conservation values outside the station footprint. These EQGVs are the first to be produced for fuels in the sub-Antarctic and Antarctic regions. They will be used to inform ongoing environmental management on Macquarie Island and are likely suitable and recommended for use more broadly across the sub-Antarctic. Integr Environ Assess Manag 2024;00:1-13. © 2024 Commonwealth of Australia. Integrated Environmental Assessment and Management published by Wiley Periodicals LLC on behalf of Society of Environmental Toxicology & Chemistry (SETAC).

Mapping the Environmental Risk of Fluoride Exposure of Drinking Water in a Community of Zacatecas, Mexico

Fluoride (iF) is an inorganic element commonly present in groundwater in central Mexico and is considered a health risk when it exceeds the Mexican drinking water standard of 1.5 mg/L. Prolonged exposure to iF can cause various adverse health effects, such as dental fluorosis and neurological effects, particularly in children. A rapid and cost-effective strategy to identify possible areas where the resident population may be at risk of exposure to this contaminant is the health risk estimation methodology of the Pan American Health Organization (PAHO). The aim of this study was to estimate the environmental risk of iF exposure in residents of Jerez, Zacatecas, Mexico, and subsequently construct risk maps to identify areas of the city where there is a higher risk of exposure. Fifty-five tap water samples were collected from households to determine iF concentrations using the ion-selective electrode method. Based on these environmental values, the hazard quotient (HQ) was estimated following the health risk estimation methodology. Subsequently, risk maps were generated from these values to visualize the spatial distribution of high-risk areas within the city. The iF concentrations in tap water ranged from 1.3 to 7.3 mg/L (ppm), with only one sample below the standard of 1.5 mg/L. We estimated HQ values ranging from 0.63 to 3.73. Exposure to iF in tap water is a health problem that must be addressed, necessitating risk communication actions that enable the population to safeguard its health through simple measures, thereby avoiding future health costs.

Environmental Awareness and Walking Behavior to the Grocery Store

The relationship between environmental awareness and actionable change is complex. While extensive literature examines the links between green ideology and eco-friendly behavior, few studies focus on how green ideology influences transportation choices and the built environment. This study investigates the relationship between environmental awareness and walking behavior, addressing three research questions aimed at: identifying socio-demographic characteristics linked to a high level of environmental awareness; exploring how environmental awareness affects perceptions of walkability; and determining whether individuals committed to community environmentalism are more likely to walk to the grocery store. The findings reveal that higher income is associated with considerations of local air quality, noise, and the importance of positive environmental transportation choices. Car ownership negatively impacts the willingness to adjust routes or travel time to minimize environmental impact. Environmentally aware individuals perceive the grocery store as closer, feel safer walking, view sidewalks as more available and in a better condition, and notice more tree shading. Those who consider air quality and noise levels in their walking decisions are more likely to notice tree shading. Individuals committed to community environmentalism are significantly more likely to walk to the grocery store, underscoring the crucial role of environmental values in shaping transportation behaviors and walkability perceptions.

Who will be prosocial consumers? The relationship between environmental value and sustainable consumption

AbstractThis study explores who will be prosocial consumers based on the effect of consumers' environmental value on their sustainable consumption after the COVID‐19 lockdown. The study aims to examine (1) the relationship between environmental value and sustainable consumption and (2) compare the pathways between environmental value and sustainable consumption depending on delivery service usage frequency. This study unitizes Structural Equation Modeling to analyze (1) mediation and (2) multi‐group analysis by SmartPLS. Six hundred thirty‐seven respondents are collected from Mass Rapid Transit and Bangkok Mass Transit System stations in Bangkok and nearby shopping malls using a systematic random sample method. Affective and cognitive sustainable consumption mediates the relationship between consumers' egoistic and biospheric environmental concerns and their conative sustainable consumption. There is no significant difference between groups that utilize fewer or more delivery services on the path between environmental concerns and sustainable consumption. This study demonstrates that prosocial consumers with biospheric environmental concerns must engage in affective and cognitive sustainable consumption to engage in conative sustainable consumption. Prosocial consumers who emphasize the environment and sustainability tend to use delivery services less frequently.

UWB/MEMS IMU integrated positioning method based on NLOS angle discrimination and MAP constraints

A dynamic nonline-of-sight (NLOS) angle discrimination method is proposed to address the insufficiency of current research on the NLOS error characteristics of ultrawideband (UWB) signals in dynamic environments as well as the problem that UWB signals frequently suffer from occlusion, leading to poor or impossible localization. The experimental results indicate that the degree of UWB signal occlusion increases as the horizontal angle decreases, and when the horizontal angle is less than 167°, the UWB ranging error is so large that no ranging value is available. On this basis, a tightly integrated UWB/MEMS IMU positioning algorithm incorporating NLOS angle discrimination and map constraints is proposed; it employs horizontal angles to discriminate UWB ranging values in NLOS environments in accordance with the dynamic NLOS characteristics of UWB signals to assign better weights to UWB observations. Through comparative analysis of the results from both groups of experiments, the algorithm achieved northward, eastward, and planar positioning errors of 0.189 m and 0.126 m, 0.119 m and 0.134 m, 0.243 m and 0.211 m, respectively. Compared to the Robust Adaptive Kalman Filtering algorithm, the positional accuracy in the plane improved by 22.9% and 28.5%, respectively.

Exploring the Effects of Low-Carbon Labels on Purchase Intentions for Green Agricultural Products

Expedited economic expansion and innovative technological advancement have precipitated considerable environmental predicaments, giving rise to extensive ecological conundrums worldwide. In response to the pressing situation, numerous countries have implemented policies aimed at reducing carbon emissions. One such initiative is the “low-carbon label”, which signifies a commitment to lowering carbon emissions. On one hand, it offers consumers an effective means to identify low-carbon products, thereby enhancing their willingness towards green consumption. On the other hand, it motivates businesses to transition towards greener practices, thereby guiding the market towards more environmentally friendly directions. This transition has had a significantly positive impact on reducing carbon emissions and promoting the development of a low-carbon economy, highlighting its critical value within the broader environmental movement. This study focuses on exploring whether the low-carbon label can influence consumers’ willingness to purchase green agricultural products. The theoretical framework was developed based on the theory of perceived value and SOR theory. The data were gathered through a randomized survey conducted in China. The research findings suggest that the perceived environmental value, functional value, and emotional value have significant impacts on consumers’ willingness to purchase green agricultural products. Trust in low-carbon labels plays a critical role in mediating the relationship between perceived value and consumers’ purchasing intentions for green agricultural products. Our research yielded the following conclusions. (1) Consumers are progressively cultivating an independent pro-environmental persona and increasingly aligning themselves with sustainable development, as indicated by their affinity towards carbon labels. (2) The selection of low-carbon agricultural products by consumers is contingent upon sensory perception, emphasizing environmental spillover value, functional enhancement, and emotional support. (3) Consumer confidence in green low-carbon agricultural products stems from an intuitive perception perspective, suggesting that low-carbon labels should accentuate functional and emotional values. The study suggests proactive measures to enhance the role of low-carbon labels in the consumption of green agricultural products. These measures include three parts: (1) Improving the content system of low-carbon labels and integrating digital technologies to reconstruct trust systems; (2) strengthening promotional efforts focusing on enhancing consumers’ intrinsic value perceptions; and (3) establishing a national-level low-carbon labels certification system, raising standards, and strengthening supervision.

Environmental Governance of Forests Over Limestone in Guiuan Marine Reserve Protected Landscape and Seascape (GMRPLS), Guiuan, Eastern Samar, Philippines: A Gendered-Age Perspective

Environmental governance of the Forests Over Limestone (FOL) ecosystem is critical, considering its unique and fragile characteristics. However, there is a limited study on the role of gender and age in the perception of stakeholders' participation in forest governance. A survey was conducted in the Forests Over Limestone of Guiuan Marine Reserve Protected Landscape and Seascape (GMRPLS), Guiuan, Eastern Samar, Philippines, to determine the perception of the residents in GMRPLS as to the responsible sectors and groups in the conservation and protection of FOL. The study results showed that men and women of various age groups identified the Department of Environment and Natural Resources (DENR), Local Government Units (LGUs), people organizations, non-government organizations, education, businesses and industries, and the community comprising of men and women of various age groups, e.g., children, teenagers, adults, senior citizens, as stakeholders of the FOL in GMRPLS. The study also tried to determine the relationship between age and the respondents' perception of FOL stakeholders. However, no relationship was found between age and their perception of the various groups responsible for FOL governance. Moreover, a very weak (0.096) relationship between age and their perception that adults are responsible for FOL governance was found at a 0.05 significance level. The results indicate that older people are expected to participate in the environmental governance of the FOL ecosystem. A very weak relationship between age and their perception that men (0.123) and women (0.089) are responsible for FOL governance was also found at a 0.01 and 0.05 significance level, respectively. The results suggest a need to develop and implement policies and programs that will empower women to participate in FOL governance while ensuring equal representation of men and women from various age groups in the management of FOL. The study recommends organizing developmental activities for young men and women from different age groups to promote and instill environmental values so that they continue to support the conservation and protection of FOL as they age.

Trusted artificial intelligence for environmental assessments: An explainable high-precision model with multi-source big data

Environmental assessments are critical for ensuring the sustainable development of human civilization. The integration of artificial intelligence (AI) in these assessments has shown great promise, yet the "black box" nature of AI models often undermines trust due to the lack of transparency in their decision-making processes, even when these models demonstrate high accuracy. To address this challenge, we evaluated the performance of a transformer model against other AI approaches, utilizing extensive multivariate and spatiotemporal environmental datasets encompassing both natural and anthropogenic indicators. We further explored the application of saliency maps as a novel explainability tool in multi-source AI-driven environmental assessments, enabling the identification of individual indicators' contributions to the model's predictions. We find that the transformer model outperforms others, achieving an accuracy of about 98% and an area under the receiver operating characteristic curve (AUC) of 0.891. Regionally, the environmental assessment values are predominantly classified as level II or III in the central and southwestern study areas, level IV in the northern region, and level V in the western region. Through explainability analysis, we identify that water hardness, total dissolved solids, and arsenic concentrations are the most influential indicators in the model. Our AI-driven environmental assessment model is accurate and explainable, offering actionable insights for targeted environmental management. Furthermore, this study advances the application of AI in environmental science by presenting a robust, explainable model that bridges the gap between machine learning and environmental governance, enhancing both understanding and trust in AI-assisted environmental assessments.

Advancing Circular Buildings: A Review of Building Strategies for AEC Stakeholders

The uptake of a circular economy (CE) in the building sector is challenging, primarily due to the complexity associated with the design process and the dynamic interaction among architects, engineers, and construction (AEC) stakeholders. The standard and typical design process and construction methods raise concerns about building life cycles. Buildings should not only fulfill current needs, but one also needs to consider how they will function in the future and throughout their lifetime. To address these complexities, early planning is required to guide designers in holistically applying systems thinking to deliver CE outcomes. This paper outlines a critical review of CE implementation in buildings, with a proposed trifecta of approaches that significantly contribute to the development of circular buildings (CBs). The findings outline a proposed visualized framework with a conceptual formula that integrates CE design strategies to simplify and enhance AEC stakeholders’ perception of the circularity sequence in buildings. By strategically integrating loop-based strategies with the value retention process (VRP) and design for X (DFX) strategies, along with efficient assessment tools and technologies, it becomes feasible to embrace a CE during the design phase. The outcome of this review informs AEC stakeholders to systematically and strategically integrate the critical dimensions of a CE throughout the building life cycle, striking a balance between environmental concern, economic value, and future needs.

Conceptualization of ESG Management Values of Professional Sports Clubs: From Consumers’ Perspective

Discussions and practices of sustainability are actively underway around the world. In this social context, this study conceptualized ESG management values focused on sports organizations, especially professional sports clubs in Korea. Utilizing Q methodology, which is suitable for research on individuals’ subjectivity, we explored ESG management values accepted by consumers of Korean professional sports. As a result, the ESG management values were confirmed as follows: “Type I: Trust Management Emphasis”, “Type II: Local Community Emphasis”, and “Type III: Safety–Respect Culture Emphasis”. While each of the three types accepted governance, social responsibility, safety, and respect culture as their main values, they tended to deny environment-related values. Accordingly, this study provided two discussions: “professional sports consumers’ low awareness of the environment” and “reinterpretation of environmental values among the ESG management values of professional sports clubs”. In conclusion, the three types are significant in that (1) they reflect well the social and cultural context of Korean professional sports and consumers’ perceptions, and (2) they provide a new perspective on the ESG management value of professional sports teams.

Enhancing climate adaptation: Integrating place-based risk perceptions and coastalscape values using Q+PPGIS

Effective climate change adaptation planning requires evaluating the interplay of physical landscape characteristics and community perceptions of places. Geographic information system (GIS)-based approaches to measuring environmental values can identify locations for planning prioritization. But they seldom are used to consider spatial differences in socio-ecological worldview. This study aims to identify how place-based risk perceptions and landscape values can inform climate change adaptation using a Q+PPGIS method. We integrated mapped landscape values and climate risks (from 39 PPGIS participants) with elicited discourses (for 28 Q-method participants) to develop a novel land classification approach (reflexive Q+PPGIS). The results demonstrate significant differences between wilderness as a discourse and perceived, and the physical features associated with mapped wild areas. Similar differences in discourse and spatial patterns are observed for climate risks. For example, participants’ mapped areas of bushfire risk do not align with agencies’ identified risk areas, their jurisdictions, and capacities to take action. This disconnect presents a challenge to adaptation. Local governments can use this new method to show constituents multiple and often competing community demands for action, enabling honest conversations about feasible actions, responsibilities, and resource allocation.

Predicting electric vehicles adoption: A synthesis of perceived risk, benefit and the NORM activation model

The increasing popularity of electric vehicles (EVs) as an alternative mode of transportation aims to reduce greenhouse gas emissions and energy expenditures, playing a crucial role in the evolution of emerging mobility markets. This research investigates consumer perspectives on EV adoption using the perceived risks and benefits model and the norm activation model. Employing a survey-based methodology, data were gathered from 379 Malaysian respondents aged 18 and older, with valid driving licenses but no prior EV experience. The study utilized partial least squares structural equation modelling (PLS-SEM) to analyze the data. Key findings reveal positive associations between the intention to use EVs and factors such as perceived enjoyment, perceived benefit, trust, and environmental knowledge. Conversely, perceived risk and perceived cost were not significantly correlated with adoption intention. The study also found that awareness of consequences and the assignment of responsibility positively influenced personal norms, which in turn were linked to the intention to adopt EVs. The current study addresses the lack of research in Malaysia by focusing specifically on Malaysian consumers. Practical implications highlight the need for local policymakers and industry stakeholders to enhance awareness about EV advantages, improve marketing strategies, and support informed decision-making aligned with personal and environmental values. This research provides valuable insights into consumer perceptions of EV adoption in Malaysia, contributing to the global shift towards a greener automotive landscape.

Emotional attachment and philosophical worldviews explain human connectedness to nature in abandoned rural Spain

Land abandonment and rural depopulation are escalating worldwide, presenting sustainability dilemmas for both rural and urban regions. However, there remains a dearth of research on the sociocultural dimensions of abandonment from a local standpoint. This investigation focuses on a case study conducted in southeastern Spain, wherein a social survey was used to evaluate the perspectives of local communities concerning human–nature interconnectedness, land abandonment, and their impacts on quality of life. A survey campaign was administered in the case study region during the spring of 2021, and 122 surveys were collected. The findings identify, in the context of the progressive abandonment of rural lands in Spain, key factors that explain the desire of local people to inhabit and not abandon rural regions in southeastern Spain. Our results also show a strong connection between people and nature in rural Spain, which is explained by the capacity of locals to form relational values in rural environments and the existence of philosophical worldviews and emotional attachments to rural lifestyles. However, barriers to not abandoning rural environments were also identified, including a lack of professional and economic opportunities. Our results suggest that the mitigation of depopulation in rural areas in Spain requires actions to foster land stewardship and address socioeconomic imbalances.

Degradation of organic pollutants in natural magnetite-activated peroxymonosulfate system enhanced by hydroxylamine: Catalytic performance, reaction pathway, and enhancement mechanism

The degradation of organic pollutants using natural minerals in advanced oxidation process gains increasing interest due to abundant resources, rich active metals, and easy engineered preparation, but it is limited by the relatively low catalytic performance of natural minerals. The enhanced pollutant degradation in natural mineral/peroxymonosulfate (PMS) system has been rarely studied. In this work, the enhancement of hydroxylamine natural magnetite/PMS system was innovatively proposed. In comparison with the natural magnetite/PMS system, the degradation efficiency of Rhodamine B (RhB) was increased by 61.82 % after the addition of hydroxylamine, and the RhB degradation followed a pseudo-first-order kinetic model with a rate constant of 0.1040 min−1. The Fe2+/Fe3+ conversion efficiency was improved by the synergistic effect of hydroxylamine, which was demonstrated by X-ray photoelectron spectroscopy and determination of the Fe2+ concentration in the reaction system. The influence of process factors on the degradation process was examined, including hydroxylamine concentration, catalyst dosage, PMS concentration, initial pH, temperature, inorganic anions, and humic acid. The hydroxylamine-assisted natural magnetite/PMS system exhibited a wider pH range (3−11) and good reusability (degradation efficiency of 90.30 % for the seventh run). Besides, the effective degradation of different organic pollutants was obtained, including methyl organic, malachite green, tetracycline, sulfadiazine, and ofloxacin. Sulfate radical, hydroxyl radical, and singlet oxygen were mainly reactive oxygen species in the reaction system. The energy consumption was only 4.33 kWh/kg, significantly lower than previously reported systems, showing a significant environmental application value.

Modeling User Intentions for Electric Vehicle Adoption in Thailand: Incorporating Multilayer Preference Heterogeneity

Background: The automotive industry is pivotal in advancing sustainability, with electric vehicles (EVs) essential for reducing emissions and promoting cleaner transport. This study examines the determinants of EV adoption intentions in Thailand, integrating demographic and psychographic factors from Environmental psychology and innovation diffusion theory; Methods: Data from a structured questionnaire, administered to 4003 respondents at gas stations with EV charging facilities across Thailand, were analyzed using a Correlated Mixed-Ordered Probit Model with Heterogeneity in Means (CMOPMHM); Results: Findings indicate that younger adults, particularly those aged 25–34 years old and 45–54 years old, are more likely to adopt EVs, whereas conventional or hybrid vehicle owners are less inclined. Rural residency or travel also hinders adoption. Individuals with strong environmental values and openness to new technologies are more likely to adopt EVs; Conclusions: The proposed model quantified the relative importance of these factors and uncovered heterogeneity in user preferences, offering reliable and valuable insights for policymakers, EV manufacturers, and researchers. The study suggests targeted policies and enhanced charging infrastructure, especially in rural areas, and recommends leveraging environmental values and trialability through communication campaigns and test drive events. These insights can guide the development of targeted incentives, infrastructure expansion, communication strategies, and trialability programs to effectively promote wider EV adoption in Thailand and similar markets.

Behavioral barriers impede pro-environmental decision-making: Experimental evidence from incentivized laboratory and vignette studies

Despite increasing concerns about climate change, many people struggle to translate their pro-environmental values into action. Here, we explore the origins of this value-action gap focusing on the role of behavioral barriers that are characteristic for many environmentally relevant decisions. Using incentivized online laboratory and vignette experiments, we find that individuals are less likely to behave in accordance with their environmental values if they are not immediately affected by the consequences of their actions, if the impacts of their actions are uncertain, and if they contribute only marginally to the outcome. The behavioral barriers also exert an indirect effect on environmental behavior by undermining reciprocity and positive peer effects. The value-action gaps are correlated across the different experimental settings with men and younger participants showing a particularly large gap. These insights are important for climate communication and education, highlighting the important role of the perceived relevance and potential consequences of personal behaviors in collective action.

Environmental Value Measurement and Potential Economic Impact Analysis of Biomass Energy Projects

Environmental Value Measurement and Potential Economic Impact Analysis of Biomass Energy Projects

A Non-Transferable Trade Scheme of Green Power Based on Blockchain

Power consumers can obtain authoritative green environmental value certification through green electricity trading, which plays an important role in improving the production competitiveness of enterprises, especially for international product trade affairs. However, the credibility of green electricity transactions faces serious challenges in the enterprise green authentication affairs, especially the user’s identity authentication, the traceability of green electricity transactions, and the standardization of green electricity transactions. Aiming to solve the certification and traceability problem of tradable green certificates, this paper proposes an integrated green certificate trading protocol, which solves its double-trading problem and helps to improve the credibility of renewable energy use. The main contribution is providing a solution based on the consortium blockchain technology to solve the main challenges mentioned above. The main solved scheme designs a series of protocols, which includes a purchase protocol, payment protocol, and non-transferable protocol. The whole process ensures the credibility, traceability, and non-transferability of green certificate trading. Multiple verification measures are adopted to address security and privacy challenges in green certificate management. Through security analysis, the protocol effectively defends against attacks such as double payments, transaction rollback, and transaction replays while ensuring users’ privacy.

Legal Challenges and Opportunities in World Trade Organization Agreements: A Comparative Analysis of Member States

The World Trade Organization (WTO) agreements have a broad and complex impact on its member countries, especially regarding trade policy and global economic justice. Legal challenges in implementing these agreements, including harmonization between national and international law, as well as domestic political and economic dynamics, add to the complexity of their implementation. In addition, the WTO agreements also offer significant opportunities for member countries, such as wider market access and increased foreign investment. This study aims to analyze the long-term impact of the WTO agreements on trade policy, economic justice, and sustainable development in its member countries. This study uses a qualitative approach, with data obtained from various relevant sources such as research results and previous studies, which are then processed and analyzed in depth. The results show that the WTO agreements significantly shape the direction of member countries' future trade policies, with a greater impact felt by developing countries. Global economic injustice has emerged as one of the consequences of the implementation of these agreements, where developed countries are better able to utilize WTO provisions. On the other hand, the environmental and social impacts of implementing the WTO agreements are concerns that require better integration into trade policy. Projections of future challenges suggest that the WTO must continue to adapt to global changes to remain relevant and effective. Overall, this study highlights the need for a balance between trade liberalization and the protection of social and environmental values ​​within the WTO framework.