Environmental Conservation Efforts Research Articles

The potential of indigenous religious ecologies for environmental conservation in contemporary Ghana: the Akan as a study case

ABSTRACT With ethnographic data from the Dormaa-Akan, this article examines the conservation features of Akan indigenous religious ecology and discusses how they have oriented indigenous Akan communities towards living by the resources of the nonhuman world while conserving it. Considering the degradation of the nonhuman world in contemporary Ghana, particularly the land and its resources, the article argues that irrespective of the modern secularity of contemporary Ghana, indigenous religious ecologies hold the potential for environmental conservation efforts, when properly integrated into secular environmental policies. The article also explored some potential ways in which indigenous religious ecologies can contribute to conservation efforts in Ghana.

Optimization of Manning's roughness coefficient using 1-dimensional hydrodynamic modelling in the perennial river system: A case of lower Narmada Basin, India.

This research bears significant implications for river management, flood forecasting, and ecosystem preservation in the Lower Narmada Basin. A more precise estimation of Manning's Roughness Coefficeint (n) will enhance the accuracy of hydraulic models and facilitate informed decision-making regarding flood risk management, water resource allocation, and environmental conservation efforts. Ultimately, this study aspires to contribute to the sustainable management of perennial river systems in India and beyond by offering a robust methodology for optimizing Manning's n tailored to the complex hydrological dynamics of the Lower Narmada Basin. Through a synthesis of empirical evidence and computational modelling, it seeks to empower stakeholders with actionable insights toward preserving and enhancing these invaluable natural resources. Using the new HEC-RAS v 6.0, a one-dimensional hydrodynamic model was developed to predict overbank discharge at different points along the basin. The study analyzes water levels, stream discharges, and river stage, optimizing Manning's n and required flood risk management. The model predicted a strong output agreement with R2, NSE, and RMSE for the 2020 eventas 0.83, 0.81, and 0.36, respectively, with an optimum Manning's n of 0.03. The lower Narmada Basin part near the coastal zone (validation point) appears inundated frequently. The paper aims to provide insights into optimizing Manning's coefficient, which can ultimately lead to better water flow predictions and more efficient water management in the region.

Water‐controlled ecosystems as complex networks: Evaluation of network‐based approaches to quantify patterns of connectivity

AbstractThis study provides a new perspective on understanding the intricacies of water‐mediated connectivity in ecosystems, bridging landscape ecology and geomorphology through network science. We highlight dryland and river‐floodplain ecosystems as distinct examples of contrasting water‐controlled systems. We (1) discuss central considerations in developing structural connectivity and functional connectivity networks of water‐mediated connectivity; (2) quantify the emergent patterns in these networks; and (3) evaluate the capacity of network science tools for investigating connectivity characteristics. With a focus on strength (weights) and direction, connectivity is quantified using seven parameters at both network and node levels. We find that link density, betweenness centrality and page rank centrality are highly sensitive to directionality; global efficiency and degree centrality are particularly sensitive to weights; and relative node efficiency remains unaffected by weights and directions. Our study underscores how network science approaches can transform how we quantify and understand water‐mediated connectivity, especially in consideration of the role(s) of weights and directionality. This interdisciplinary perspective, linking ecology, hydrology and geomorphology, has implications for both theoretical insights and practical applications in environmental management and conservation efforts.

Improving science process skills using the STEM (science, technology, engineering, and mathematics) learning model on environmental preservation business material for fifth grade elementary school students

Society must be able to adapt in various ways due to the rapid progress of science and technology in the era of globalization. One of the components is education, which is fundamental for the progress of a country. Science process skills are skills for developing the perspective needed to build natural science. This research was conducted to see whether science process skills improved after applying the STEM learning model to environmental conservation business materials, in class V students at SDN 1 Ciledug located in the city of West Bandung. This research was carried out by designing a pretest-posttest group and using a science process skills test, based on the indicators that had been designed. Data analysis to determine differences in perceptions regarding improving students' science process skills, before and after implementing the STEM learning model. The results of data analysis show that science process abilities have increased on the topic of environmental conservation efforts with the application of the STEM learning model. The resulting score with the average value of science process skills increased from application of 40.51 to 85.11. This improvement in skills can be seen from the N-Gain result value of 0.75 which is in the high classification. Thus, the research results that have been presented suggest that teachers can use the STEM learning model as an alternative in science subjects, especially to improve science process skills.

ENHANCING COMMUNITY ENGAGEMENT FOR CONSERVATION AND REHABILITATION THROUGH A CASE STUDY IN SUNGAI JERNIH GEO PARK PERLIS

This study underscores the pivotal role of community awareness, knowledge, effectiveness, and engagement in driving successful environmental conservation efforts, with a specific focus on Sungai Bukit Jernih Geo Park, Perlis and its surrounding ecosystems. By fostering a deeper understanding of environmental issues and promoting collective engagement, communities can significantly contribute to the preservation and revitalization of fragile ecosystems like Sungai Bukit Jernih. Through a combination of surveys, interviews, and on-site inspections, a comprehensive examination of the situation was conducted. The findings indicate a noteworthy enhancement in the Sungai Jernih community's understanding of the geopark's challenges. This underscores the transformative potential of community involvement in environmental preservation.

Research on the Coupling Coordination and Driving Mechanisms of New-Type Urbanization and the Ecological Environment in China’s Yangtze River Delta

For high-quality growth to occur, new-type urbanization and environmental preservation must coexist and advance at the same time. The focus has shifted to maintain a balance between ecological quality and urbanization growth. This study focuses on the Yangtze River Delta (YRD) in China, utilizing panel data from 41 cities in the YRD spanning from 2009 to 2021 to construct evaluation index systems for new (type of) urbanization and ecological environment. To analyze spatial-temporal evolutionary aspects and determine the causes of the degree of coupling coordination between new-type urbanization and the ecological environment, methodologies such as the entropy weight method, coupled coordination degree model, and Tobit regression approach were used. The results show that (1) economic urbanization has experienced the most growth in the level of new-type urbanization in the YRD, which has been steadily increasing. Moreover, the ecological environment evaluation score increased from 0.581 in 2009 to 0.701 in 2021, revealing a cyclical pattern of increase and decrease in its evolutionary trajectory. (2) Within the scope of the study, the overall coupling coordination degree between new-type urbanization and ecological environment has increased, with the average value rising from 0.512 in 2009 to 0.540 in 2021. In comparison to Lishui, Huaibei, Huainan, Ningbo, Chuzhou, and Bozhou saw a greater increase in coupling and coordination degree, with pronounced variations and clustering patterns visible in their spatial distribution. (3) According to the Tobit regression analysis, the level of economic development, technological progress, industrial concentration, global openness, and educational investment had significant positive effects on the degree of coupled coordination between new-type urbanization and the ecological environment in the YRD, whereas the level of information technology did not reach the significance threshold. The findings of the study are crucial for establishing a regional framework for green and sustainable development, as well as for facilitating the coordinated growth of new-type urbanization and ecological environment. These findings hold great potential for driving positive change in both urban development and environmental conservation efforts.

Unveiling the eutrophication crisis: 20 years of nutrient development in Zhanjiang Bay, China

Coastal eutrophication is a major issue of marine pollution. The main factors controlling eutrophication must be identified to ensure effective marine environmental management according to the respective local conditions. Zhanjiang Bay (ZJB), located northwest of the South China Sea, is a semi-closed bay influenced by complex water flows and the development of surrounding cities. In this study, we investigated the development of nutrient concentrations and compositions in ZJB seawater over the past 20 years and the factors influencing eutrophication based on several field investigations from 2006 to 2022 and historical data. High concentrations of dissolved inorganic phosphorus (DIP) and dissolved inorganic nitrogen (DIN) were the main contributors to the severe long-term eutrophication in ZJB; however, light eutrophication was observed in the outer bay, primarily caused by chemical oxygen demand (COD) and DIP. The primary sources of COD and nutrients were riverine freshwater, sewage outfalls, mariculture and domestic effluents carried by rivers. Tidal effects diluted the nutrient concentrations in the bay with seawater from the outer bay, thereby playing a key role in nutrient redistribution. The DIN: DIP ratio of ZJB showed long-term nitrogen restriction and excess phosphorus, primarily owing to mariculture activities. Marine undertakings can exert various impacts on water quality. Eliminating illegal aquaculture and launching aquaculture tailwater treatment can improve water quality, whereas practices such as channel dredging may worsen it. This study demonstrates the intricate dynamics of the ZJB ecosystem and offers valuable insights for effective environmental management and conservation efforts.

Systemic immunological responses are dependent on sex and ovarian hormone presence following acute inhaled woodsmoke exposure

BackgroundRural regions of the western United States have experienced a noticeable surge in both the frequency and severity of acute wildfire events, which brings significant challenges to both public safety and environmental conservation efforts, with impacts felt globally. Identifying factors contributing to immune dysfunction, including endocrinological phenotypes, is essential to understanding how hormones may influence toxicological susceptibility.MethodsThis exploratory study utilized male and female C57BL/6 mice as in vivo models to investigate distinct responses to acute woodsmoke (WS) exposure with a focus on sex-based differences. In a second set of investigations, two groups were established within the female mouse cohort. In one group, mice experienced ovariectomy (OVX) to simulate an ovarian hormone-deficient state similar to surgical menopause, while the other group received Sham surgery as controls, to investigate the mechanistic role of ovarian hormone presence in driving immune dysregulation following acute WS exposure. Each experimental cohort followed a consecutive 2-day protocol with daily 4-h exposure intervals under two conditions: control HEPA-filtered air (FA) and acute WS to simulate an acute wildfire episode.ResultsMetals analysis of WS particulate matter (PM) revealed significantly increased levels of 63Cu, 182W, 208Pb, and 238U, compared to filtered air (FA) controls, providing insights into the specific metal components most impacted by the changing dynamics of wildfire occurrences in the region. Male and female mice exhibited diverse patterns in lung mRNA cytokine expression following WS exposure, with males showing downregulation and females displaying upregulation, notably for IL-1β, TNF-α, CXCL-1, CCL-5, TGF-β, and IL-6. After acute WS exposure, there were notable differences in the responses of macrophages, neutrophils, and bronchoalveolar lavage (BAL) cytokines IL-10, IL-6, IL-1β, and TNF-α. Significant diverse alterations were observed in BAL cytokines, specifically IL-1β, IL-10, IL-6, and TNF-α, as well as in the populations of immune cells, such as macrophages and polymorphonuclear leukocytes, in both Sham and OVX mice, following acute WS exposure. These findings elucidated the profound influence of hormonal changes on inflammatory outcomes, delineating substantial sex-related differences in immune activation and revealing altered immune responses in OVX mice due to ovarian hormone deficiency. In addition, the flow cytometry analysis highlighted the complex interaction between OVX surgery, acute WS exposure, and their collective impact on immune cell populations within the hematopoietic bone marrow niche.ConclusionsIn summary, both male and female mice, alongside females subjected to OVX and those who had sham surgery, exhibit significant variations in the expression of proinflammatory cytokines, chemokines, lung mRNA gene expression, and related functional networks linked to signaling pathways. These differences potentially act as mediators of sex-specific and hormonal influences in the systemic inflammatory response to acute WS exposure during a wildfire event. Understanding the regulatory roles of genes expressed differentially under environmental stressors holds considerable implications, aiding in identifying sex-specific therapeutic targets for addressing acute lung inflammation and injury.

Artificial intelligence in environmental conservation: evaluating cyber risks and opportunities for sustainable practices

This study explores the integration of Artificial Intelligence (AI) into environmental conservation efforts, aiming to assess AI's transformative potential in enhancing sustainability practices. Employing a systematic literature review and content analysis, the research scrutinizes peer-reviewed articles, reports, and case studies from 2014 to 2024, focusing on the application of AI in biodiversity preservation, climate change mitigation, and sustainable resource management. The methodology hinges on a comprehensive search strategy, adhering to strict inclusion and exclusion criteria to ensure the relevance and quality of the literature analyzed. Key findings reveal that AI significantly contributes to environmental conservation by optimizing resource management, improving predictive analytics for biodiversity conservation, and facilitating advanced monitoring and analysis to mitigate environmental impacts. However, the deployment of AI technologies also presents ethical and cybersecurity challenges, necessitating robust frameworks for responsible use. The study underscores the importance of interdisciplinary collaboration, stakeholder engagement, and the development of ethical AI solutions to address these challenges effectively. Finally, AI holds immense promise for advancing environmental sustainability efforts. Strategic recommendations include fostering partnerships across disciplines, prioritizing ethical considerations in AI development, and enhancing AI literacy among conservationists. Future research directions emphasize the need for innovative AI applications in conservation and addressing the socio-technical complexities of integrating AI into environmental strategies. This study contributes valuable insights into leveraging AI for a sustainable and resilient future, highlighting the critical balance between technological advancements and ethical considerations. Keywords: Artificial Intelligence (AI), Environmental Conservation, Sustainability, Cyber Risks.

The intersection of faith and tourism: an exploratory study on halal tourism motivations among Indian millennials

Purpose This study aims to explore the motivations of emerging market millennial Muslims to partake in halal tourism, a developing sector of the travel industry that caters to the religious practices of Muslim tourists. Design/methodology/approach This study is qualitative in nature. In-depth interviews were conducted with millennials aged 25–40 in India to gain an understanding of the factors that influence their decision-making and travel behaviour. Further, thematic analysis was used to analyse the data. Findings The findings emphasise the intricate interplay between faith, cultural and social factors in millennial Indians’ motivations for halal travel. The study found that religious motivations, such as the desire to fulfil religious duties and participate in spiritual experiences, were significant factors in halal tourism. Social motivations, such as the desire to interact with other Muslims and strengthen family ties, also played a significant role. The study also highlighted the importance of environmental sustainability and conservation efforts in the decision-making process of Indian millennials when choosing halal travel options. Originality/value This study contributes to the literature on halal tourism by exploring the motivations of emerging-market millennial Muslims. The study is original in its focus on the Indian context and the inclusion of sustainability and conservation efforts in the analysis of motivations for halal tourism.

Boosting the triboelectric performances of biowaste chitosan keratin triboelectric nanogenerator using carbon composite film as charge storage and charge recombination blocking intermediate layer

Environmental conservation efforts are promoting energy-generation technologies that avoid the use of highly polluting fuels and promote the reuse of waste materials. Advances in triboelectric nanogenerators (TENGs) have led to the progress in harvesting energy from ambient mechanical sources and powering small devices and sensors while being compact, flexible, biocompatible, and eco-friendly. Nevertheless, the practical applications of TENG have limitations. Therefore, the development of TENG with excellent triboelectric performance, eco-friendliness, and low cost is crucial. Consequently, an environmentally friendly, inexpensive TENG device with outstanding triboelectric performance was designed using keratin-enhanced chitosan as a tribo-positive material, a carbon film as an intermediate layer, and polytetrafluoroethylene as a triboelectric negative material. The device was purposely designed to simultaneously play a role in waste treatment and efficient green energy harvesting. Therefore, keratin was extracted from recycled fur, and a carbon film was selected to enhance the triboelectric performance because of its excellent electrical conductivity and dielectric constant. The triboelectric properties of a chitosan keratin intermediate layer (CKI)-TENG were systematically investigated. Practical applications of the CKI-TENG in charging electronic devices and waste-noise harvesting were also studied. The developed CKI TENG exhibited outstanding triboelectric performance compared to a TENG device without an intermediate layer. Particularly, the charge transfer, output voltage, and power density was improved by 19%, 46%, and 60%, respectively, compared to the output of the chitosan-keratin (CK) TENG device. It also exhibited outstanding cyclic and charging-discharging stabilities. In addition, the power density of the developed CKI TENG was higher than that of previously reported TENG devices. Thus, it can play a significant role in green and clean energy generation and the utilization of the harvested energy in practical applications, such as biomedical sensors, charging electronic devices, smart textiles, and sensors.

GSM Based Transformer Healthcare Monitoring with Overload Alert and Protection

The "Transformer Health Monitoring System" project presents a proactive and cost-effective solution for monitoring power transformers in electrical distribution networks, addressing the critical need for reliable maintenance. Leveraging the ATmega328P microcontroller, the system continuously monitors vital parameters such as oil level, quality, voltage, current, and temperature. With real-time data visualization through a user-friendly display module and advanced fault detection algorithms, the system ensures prompt identification of issues. Integration of a GSM module enables instant alerts to designated recipients, facilitating swift response to faults. Scalability across multiple transformers streamlines monitoring and maintenance, enhancing grid stability, reducing downtime, and supporting environmental conservation efforts. This project underscores a commitment to reliability, safety, and sustainability in power distribution networks..

Vegetation trends and dynamics in Shada Mountain, Saudi Arabia, (1984–2023): insights from Google Earth Engine and R analysis

This research analyses the long-term vegetation trends in Shada Mountain across six elevation zones, utilizing Landsat 5, 7, 8, and 9 imageries processed via Google Earth Engine and R. The study managed differences in images resolution through meticulous calibration and image processing techniques. The study is structured around two objectives: examining the relationship between vegetation and its proximity to streams and land surface temperature and analyzing trends in the Normalized Difference Vegetation Index (NDVI). Regression analysis revealed a negative correlation between vegetation and proximity to streams in lower zones (1–3), with no significant effect in higher zones (4–6). NDVI trend analysis indicated an overall increase in vegetation across most zones, with the exception of zone 5, which displayed a negative trend (slope −0.0025). The findings reveal that the decline is particularly pronounced among key tree species such as Ficus cordata subsp. salicifolia and Acacia asak, suggesting potential impacts from climate change and land use alterations. These zone-specific insights deepen our understanding of the dynamic ecological processes in semi-arid environments and guide targeted environmental management and conservation efforts.

Analysis of Electric Power Transmission Lines Through Graph Theory: Protecting Environmental Preservation Areas Through Strategic Planning

Electrical networks consist of generation plants, transmission and distribution substations of electrical en-ergy. Power is transmitted through towers and lines that span hundreds or even thousands of kilometers. To ensure the health, stability of ecosystems and our quality of life, we must protect the environmental areas where transmission lines intersect. Given the global challenges related to sustainability, the conservation of natural resources and the mitigation of climate change, these studies are imperative. Through graph algorithms, especially vertex degree search and depth-first search, we identify alternative routes, avoiding sensitive regions such as conservation areas within the 440kV transmission networks of São Paulo, Brazil. By reallocating energy transport, we can ensure net-work maintenance and reduce environmental impacts from potential accidents. The results highlight the sustainable planning of transmission lines, aligning energy needs with Brazilian environmental conservation efforts, including the Rio State Park Peixe, Aguapeí State Park, Itapetinga State Park and Itaberaba State Park. Combining existing environmental laws with the promotion of sustainable technologies and practices, promoting more efficient use of resources while protecting the environment.

Cybersecurity’s Role in Environmental Protection and Sustainable Development: Bridging Technology and Sustainability Goals

This study investigates the pivotal role of cybersecurity in bolstering environmental protection and sustainable development, a critical yet underexplored nexus in contemporary research. Employing a systematic literature review and content analysis, the research scrutinizes peer-reviewed articles, conference proceedings, and industry reports from 2015 to 2023, sourced from databases such as IEEE Xplore, ScienceDirect, and Google Scholar. The methodology is anchored in a rigorous search strategy, leveraging keywords related to cybersecurity, sustainability, and communication technologies, and adheres to defined inclusion and exclusion criteria to ensure the relevance and quality of the literature reviewed. Key findings highlight cybersecurity as an indispensable enabler of sustainable development initiatives, safeguarding the technological infrastructure essential for environmental conservation efforts. The study identifies evolving cyber threats as a significant challenge, necessitating adaptive security measures that anticipate and mitigate potential vulnerabilities. Furthermore, it underscores the opportunities presented by advanced cybersecurity technologies, such as artificial intelligence and blockchain, in enhancing the security and efficiency of sustainable practices. Strategic recommendations emphasize the need for comprehensive cybersecurity frameworks, stakeholder collaboration, cybersecurity education, and alignment with regulatory standards to fortify the resilience of sustainability initiatives against cyber threats. The study concludes that integrating robust cybersecurity measures is paramount in the pursuit of sustainable development goals, calling for ongoing vigilance, innovation, and interdisciplinary collaboration to navigate the complex landscape of digital threats and opportunities. This research contributes valuable insights into the critical intersection of cybersecurity and sustainability, offering a foundation for future studies and strategic initiatives aimed at securing sustainable development in the digital age. Keywords: Cybersecurity, Sustainable Development, Environmental Protection, Advanced Security Technologies.

Influence of river tide dynamics on phytoplankton variability and its ecological implications in three Brazilian tropical estuaries (Delta do Parnaíba Environmental Protection Area)

ABSTRACT The Delta do Parnaíba Environmental Protection Area (EPA) represents one of the largest deltaic systems in the Americas. This study investigated the spatiotemporal variability of phytoplankton communities and their correlation with environmental factors and assessed their trophic status and water quality across three mesotidal estuaries (Parnaíba-PRE, Comum-CRE, and Bom Gosto-BGRE) over a year-long sampling period. Multivariate analyses explored the interplay between environmental parameters, phytoplankton communities, and trophic indices. Salinity has emerged as a key determinant in these estuaries. Trophic components influence nutrient dynamics, with Redfield ratios indicating colimitation by orthophosphate ( PO 4 3 − ) and silicate ( SiO 2 − ). This study identified 355 taxa within the phytoplankton community, with Chlorophyta predominating in the PRE and diatoms dominating in estuaries with relatively high salinities (BGRE and CRE). Environmental drivers vary across estuaries, with temperature, dissolved oxygen (DO), total nitrogen (TN), chlorophyll-a (Chll-a), and the trophic index (TRIX) influencing the phytoplankton community in the PRE, while salinity, PO 4 3 − , total phosphorus (TP), and TN affect the CRE, and salinity and Chll-a influence the BGRE. The Delta do Parnaíba EPA exhibits eutrophic to hypertrophic conditions, emphasising the need for comprehensive environmental monitoring, nutrient management, and conservation efforts to safeguard biodiversity, water quality, and ecosystem health.

The Psychological Effects of Environmental Degradation on Human Well-Being

Purpose: This study sought to investigate the psychological effects of environmental degradation on human well- being. Methodology: The study adopted a desktop research methodology. Desk research refers to secondary data or that which can be collected without fieldwork. Desk research is basically involved in collecting data from existing resources hence it is often considered a low cost technique as compared to field research, as the main cost is involved in executive’s time, telephone charges and directories. Thus, the study relied on already published studies, reports and statistics. This secondary data was easily accessed through the online journals and library. Findings: The findings reveal that there exists a contextual and methodological gap relating to the psychological effects of environmental degradation on human well- being. Through a comprehensive review of empirical studies, it revealed the pervasive nature of environmental degradation's impact on human mental health, consistently finding associations between exposure to various environmental stressors and adverse psychological outcomes. The study emphasized the interconnectedness between environmental health and human well-being, highlighting the need for holistic approaches to sustainability that integrate mental health considerations. It underscored the importance of community engagement and participatory approaches in addressing the psychological effects of environmental degradation, advocating for community-based interventions to promote resilience and sustainable development. Unique Contribution to Theory, Practice and Policy: The Ecopsychology theory, Conservation Psychology theory and Stress and Coping theory may be used to anchor future studies on the psychological effects of environmental degradation on human well- being. The study offered valuable recommendations that contributed to theory, practice, and policy. It emphasized the need for an integrated theoretical framework that accounted for the multidimensional nature of environmental degradation and its psychological impacts. The recommendations highlighted the importance of integrating mental health considerations into environmental conservation efforts, promoting nature-based interventions, and prioritizing evidence-based policy reforms. Community engagement, interdisciplinary collaboration, and longitudinal research were identified as key strategies for addressing the psychological effects of environmental degradation and fostering resilience. Overall, the study provided a comprehensive roadmap for advancing understanding and addressing the complex interplay between environmental change and mental health outcomes.

Integrating Artificial Intelligence and UAV-Acquired Multispectral Imagery for the Mapping of Invasive Plant Species in Complex Natural Environments

The proliferation of invasive plant species poses a significant ecological threat, necessitating effective mapping strategies for control and conservation efforts. Existing studies employing unmanned aerial vehicles (UAVs) and multispectral (MS) sensors in complex natural environments have predominantly relied on classical machine learning (ML) models for mapping plant species in natural environments. However, a critical gap exists in the literature regarding the use of deep learning (DL) techniques that integrate MS data and vegetation indices (VIs) with different feature extraction techniques to map invasive species in complex natural environments. This research addresses this gap by focusing on mapping the distribution of the Broad-leaved pepper (BLP) along the coastal strip in the Sunshine Coast region of Southern Queensland in Australia. The methodology employs a dual approach, utilising classical ML models including Random Forest (RF), eXtreme Gradient Boosting (XGBoost), and Support Vector Machine (SVM) in conjunction with the U-Net DL model. This comparative analysis allows for an in-depth evaluation of the performance and effectiveness of both classical ML and advanced DL techniques in mapping the distribution of BLP along the coastal strip. Results indicate that the DL U-Net model outperforms classical ML models, achieving a precision of 83%, recall of 81%, and F1–score of 82% for BLP classification during training and validation. The DL U-Net model attains a precision of 86%, recall of 76%, and F1–score of 81% for BLP classification, along with an Intersection over Union (IoU) of 68% on the separate test dataset not used for training. These findings contribute valuable insights to environmental conservation efforts, emphasising the significance of integrating MS data with DL techniques for the accurate mapping of invasive plant species.

Maintaining Printing Machines at a Textile Company

This qualitative research explores the multifaceted applications of Polyvinyl Chloride (PVC) in East Java, Indonesia. Utilizing interviews, observations, and literature review, the study aims to analyze PVC's utilization across diverse sectors. Results highlight its extensive use in synthetic leather, flooring, and color manufacturing, emphasizing its versatility, chemical resistance, lightweight, and water-resistant properties. Implications underscore the importance of comprehending PVC's role for sustainable development and innovation. Highlight : PVC's Versatility: The study showcases PVC's adaptability across various industries, from synthetic leather to flooring, emphasizing its diverse applications. Sustainable Development: Understanding PVC's role in industrial contexts highlights opportunities for sustainable development and innovation, contributing to environmental conservation efforts. Qualitative Approach: Utilizing interviews, observations, and literature review, the research offers in-depth insights into the utilization of PVC in East Java, Indonesia. Keywords: PVC, applications, East Java, Indonesia, qualitative research

Chemical, biochemical, and bioactivity studies on some soda lakes, Wadi El-Natrun, Egypt

Wadi El-Natrun is one of the most observable geomorphological features in the North-Western Desert of Egypt; it contains several old saline and saline soda lakes. This study investigates physicochemical and biochemical characteristics and estimates the total phenolic content (TPC), total flavonoid content (TVC), and bioactivities of sediment, cyanobacteria, and brine shrimp (Artemia salina) in soda lakes, i.e., El-Hamra Lake 1 (H1) and El-Hamra Lake 2 (H2). These soda lakes are unique extreme ecosystems characterized by high pH (> 9.3), high alkalinity, and salinity. Some extremophilic microorganisms are hosted in this ecosystem. The results revealed that the chemical water type of studied lakes is soda-saline lakes according to the calculated percentage sequence of major cations and anions. Sodium ranked first among major cations with an abundance ratio of e% 58, while chloride came first among anions with an abundance ratio of e% 71, and bicarbonate and carbonate occupied the last rank with an abundance of 6%. The biochemical investigations showed that TPC and TVC are present in concern contents of sediment, cyanobacteria, and brine shrimp (A. salina) which contribute 89% of antioxidant capacity and antimicrobial activities. Thus, this study helps better understand the chemical and biochemical adaptations in soda lake ecosystems and explores natural sources with potential applications in antioxidant-rich products and environmental conservation efforts.