Environmental Resources Research Articles

Application of the Clark–Wright Method to Improve the Sustainability of the Logistic Chain

The incessant consumption of goods and materials underscores the need to address the growing problem of waste generation and its profound impact on environmental sustainability. The problem of waste removal can be approached in different ways, whether it is the routing of vehicles, the work of drivers, the optimal distribution of waste bins, or other matters in the entire waste process. The aim of this study is to investigate the possibilities of optimizing waste collection processes in the region using a slightly modified Clark–Wright method. Optimal waste collection routes are defined with a focus on cost reduction and overall optimization of logistic chain processes. The established mathematical model for the capacitated vehicle routing problem includes the principles of sustainability and environmental friendliness. The results indicate that the largest messenger of all the newly proposed routes are the routes containing the surrounding settlements. Newly designed routes lead to significant reductions in fuel consumption and vehicle maintenance, which has a positive impact on financial and environmental resources. The conclusion indicates that by applying the Clark–Wright method, we have achieved a reduction in the number of routes of twenty fewer routes. This study provides regions with a detailed plan to improve waste management practices, contributing to a future of increased sustainability and environmental awareness.

Public health innovation labs framework development: a design study of GGD West-Brabant Netherlands

Abstract Introduction Innovation Labs are spaces that encourage the creation, development and testing of novel ideas within organizations.While there are known frameworks for the organization of such labs in the private sector, current literature does not reflect a framework for developing a public health Innovation Lab (PHI-Lab) specifically.The aim of this study was to develop an evidence-based framework for a PHI-Lab together with the Dutch Municipal Health Service(GGD). Methods Our design thinking study consisted of 4 phases: Discovering, Defining, Creating and Evaluating.An initial framework was developed based on the public and public health sectors in the literature.To create and evaluate the framework,a document analysis of the GGD was performed,and co-creation and testing sessions were organized with 11 internal and 11 external stakeholders of the GGD. Results The final PHI-Lab framework is composed of: rationale, enablers and barriers, environment, approach, outcomes and values. Findings emphasized practical reasons for investing in a PHI-Lab, such as the shortage of health professionals.Stakeholders highlighted that proactive leadership and innovation culture are crucial enablers for the setup of the PHI-Lab.The right space and human resources (environment) and methods including design thinking and cross-collaboration (approach) were highlighted as important strategies for overcoming innovation challenges.Despite barriers such as bureaucracy and resource limitations, tailoring solutions to organizational objectives is key to the PHI-Lab’s success and sustainability, with added values of inclusiveness, adaptability and fun. Conclusions This study highlighted some practical additions to the initial framework that are specific to the public health setting, although mostly an adaptation from the public sector.Findings emphasize that there isn’t a one-size-fits-all solution to develop a PHI-Lab.This framework has the intention of benefiting other public health organizations. Key messages • The framework has the intention of benefiting other public health organizations within established networks and partnerships. • Proactive leadership and innovation culture are crucial enablers for the organizational setup of the innovation lab.

7.H. Round table: Advancing societal goals through health systems: Insights from the Renewed HSPA Framework

Abstract The purpose of this workshop, entitled ‘Advancing societal goals through health systems: Insights from the renewed HSPA framework,’ is to take a deeper look at the intricate relationships between health systems and broader societal objectives. We will dissect the contributions of health systems to societal well-being, a concept that stretches beyond mere economic growth to include social cohesion, environmental sustainability, and economic development. The session will examine the renewed global Health System Performance Assessment Framework, which serves as a tool for policymakers to better understand how health systems fit together and explains how they perform. This framework allows for a clearer interpretation of health data and provides a pathway to pinpoint health system issues and design that are most likely to enhance performance and resilience. The workshop will delve into the three dimensions of societal well-being-social cohesion, economic development, and environmental sustainability-nested within the HSPA framework. We will explore the health system’s role in advancing these dimensions, such as fostering community bonds, supporting economic growth through a healthy workforce, and contributing to the sustainable management of environmental resources. Integrating health system performance into societal goals is a practical obligation to create a resilient, cohesive, and economically robust society. This workshop will engage stakeholders in a discourse to translate this integration into multisectoral and actionable policies, aligning health system goals with societal aspirations for a sustainable future. This workshop will focus on: How health system assessments can capture contributions to societal goals, underpinning sustainable economic and environmental practices. Real-world case studies showcasing health systems’ role in fostering societal well-being and advancing public health policies. Interactive discussions will shed light on how health systems can be pivotal in achieving the Sustainable Development Goals, particularly in the face of modern challenges such as climate change, demographic shifts, and economic pressures. Key messages • Health systems play a pivotal role in advancing societal well-being beyond traditional health outcomes. • The renewed HSPA framework is a robust tool for policymakers to align health system performance with broader societal goals. Speakers/Panelists Scott Greer University of Michigan, European Observatory on Health Systems and Policies, Ann Arbor, USA Andrea Schmidt Austrian Public Health Institute, Vienna, Austria

Stakeholder-based management of ecosystem services in agricultural areas: Integrating the leader-follower game and a conflict resolution model

Given the substantial effects of agricultural practices on the environment, this paper introduces a novel stakeholder-based framework for assessing the ecosystem services (ESs) provided by agricultural areas. Ecosystem services include essential functions such as water supply, food production, carbon storage, soil erosion control, and habitat support. In addition to ESs, water footprint is also taken into account to evaluate the impacts of agricultural activities on water resources. Some of the mentioned ESs are assessed using the Soil and Water Assessment Tool (SWAT). Then, by extending and combining the Conflict Resolution Model with the Composition of Probabilistic Preferences (CRMCPP) method and the leader-follower game (LFG), while considering the hierarchical structure of decision-makers, the best scenario for enhancing the ESs is selected.The Zarrinehroud River Basin (ZRB) in Iran has been chosen as a case study to evaluate the performance of the proposed framework, as this basin is vital for supplying water to Lake Urmia, the largest hypersaline lake in the Middle East. In this paper, 16 Water and Environmental Resources Management (WERM) scenarios have been defined according to the Urmia Lake Restoration National Committee (ULRNC) projects. Then, the mentioned ESs have been evaluated under different WERM scenarios. Ultimately, by utilizing the CRMCPP-LFG method and taking into account the hierarchical structure of decision-makers, we can identify the optimal WERM scenario. The criteria for making this decision include various factors, such as ecosystem services and the costs involved in implementing the WERM scenarios. In the selected scenario, the average water inflow into Lake Urmia is projected to rise to 1329 million cubic meters per year, which is 6.3% more than the average inflow in the current condition. Key initiatives in this scenario include reducing cultivated areas, altering irrigation methods, changing crop patterns, and incorporating water-efficient plant species.

A Study of the Mechanisms of Government Embedment and Organizational Environment Related to Supervisory Effectiveness in the Collective Governance of Rural Residential Land

Rural Residential Land is a kind of public pond resource, and the implementation of the collective governance of Rural Residential Land is a response to the dilemma of utilizing the land. This paper takes the attribute of using Rural Residential Land as a public pond resource as an entry point, draws on Autonomous Governance Theory, and utilizes the OLS model and the mediated effect model to explore the influence of Government Embedment on supervisory effectiveness in the collective governance of Rural Residential Land, based on the fieldwork data of 450 farming households in three districts (cities and counties) in Sichuan Province. This study shows that Government Embedment, the Technological Environment and the Cultural Environment can significantly enhance supervisory effectiveness in the collective governance of Rural Residential Land, while the Resource Environment has a negative effect on it. The Resource Environment has a masking effect on the influence of Government Embedment on supervisory effectiveness in the collective governance of Rural Residential Land, while the Technological Environment and the Cultural Environment play a part in the mediating effect. The anonymous whistleblowing mechanism positively moderates the influence of the Technological and Cultural Environments on supervisory effectiveness. Additionally, there is obvious locational heterogeneity in the influence of Government Embedment and the Organizational Environment on supervisory effectiveness. Therefore, a coordinated supervision and sanctioning mechanism should be constructed in towns and villages to promote the integration and complementarity of formal and informal systems; a sound mechanism for anonymous reporting of illegal and irregular use of Rural Residential Land should be established; and the effective implementation of the collective governance of Rural Residential Land should be promoted in accordance with the differences in the location of the villages.

Assessing the Damage to Environmental Pollution: Discerning the Impact of Environmental Technology, Energy Efficiency, Green Energy and Natural Resources

The existing literature covers the topic of environmental pollution, but there is a scarcity of research that specifically examines the factors contributing to financial losses caused by carbon emissions. In this perspective, this ongoing analysis provides an understanding of the impact of environmental technology, energy efficiency, renewable energy consumption, natural resources, and economic growth on carbon dioxide damage in Organization for Economic Cooperation and Development (OECD) countries from 2000 to 2021 using the “Method of Moments Quantile Regression (MMQR)”, and “Dumitrescu–Hurlin (D-H)” causality test. The findings from the MMQR revealed that environmental control technology, renewable energy consumption, and energy efficiency contribute to reducing carbon dioxide damage at different quantiles. It was also found that economic growth and natural resources contribute to the increase in carbon dioxide damage in various quantities. Additionally, a one-way causality result was obtained from environmental technology, energy efficiency, renewable energy consumption, natural resources, and economic growth towards carbon dioxide damage. These results indicate that policymakers in OECD nations should provide suggestions on the efficient utilization of renewable energy sources and environmentally friendly technologies to minimize carbon dioxide damage.

Research progress in isolation strategies and bioactive substances of microorganisms in extreme environments

Microbial resources are diverse and abundant, serving as a crucial source for the discovery of bioactive substances. However, as the research on microbial secondary metabolites deepens, discovering new microorganisms and novel bioactive secondary metabolites from conventional environments is becoming increasingly challenging. The microorganisms inhabiting extreme environments have unique physiological characteristics and can develop distinctive metabolic pathways, holding immense potential for producing chemically diverse and novel bioactive secondary metabolites. This article comprehensively overviews the recent advancements in the isolation strategies of microorganisms from extreme environments and the research progress in their bioactive substances, including antimicrobial, anticancer, and antioxidant compounds. This review aims to serve as a reference for the development and utilization and the related studies of the microbial resources in extreme environments.

Google Earth Engine application for mapping and monitoring drought patterns and trends: A case study in Arkansas, USA

Drought is a prolonged dry period that can have severe impacts on the environment, human health, economies, agriculture, and energy resources. It can lead to water shortages, ruin crops, dry out forests, and reduce the availability of food and water for wildlife and livestock. The primary objectives of this study are to: 1) quantify the variability and distributions of drought patterns in Arkansas, United States (US), 2) use remotely sensed indices to investigate the correlation between drought and vegetation cover in the area, and 3) develop a cloud-based framework (user-friendly app) to facilitate the assessment of drought impact in Arkansas over the past decades. A correlation analysis was also performed between the Vegetation Health Index (VHI) and meteorological indices to better understand the impact of meteorological drought on vegetation stress. In addition, Mann-Kendall trend analysis was used to assess trends in meteorological drought indices. The results indicate that drought is most prevalent during March and August months. The results of this study revealed that approximately 31% of the study area fell under the four drought classes (i.e., 1% Extreme drought, 4% Severe drought, 9% moderate drought, and 19% mild drought), with spring and the growing season experiencing moderate drought, particularly in agricultural areas, most notably within the Mississippi Alluvial Valley Plain at both state and county levels. In August, approximately 31% of the study area fell under the Four drought classes (i.e., 1% Extreme drought, 4% Severe drought, 9% moderate drought, and 19% mild drought), with spring and the growing season experiencing moderate drought, particularly in agricultural areas, most notably within the Mississippi Alluvial Valley Plain at both state and county levels. This study provides an essential foundation for policymakers, environmental scientists, and agricultural stakeholders aiming to mitigate drought impacts and safeguard against future climate uncertainties.

Analysis of Soil Viability Monitoring System for In-House Plantation Growth Using an Internet of Things Approach

Houseplant cultivation has become increasingly popular, allowing individuals to bring nature into their homes. However, successful indoor gardening requires careful monitoring of soil parameters to ensure optimal plant growth. To address this need, sensor technology and Internet of Things (IoT) devices are utilized to monitor soil temperature and moisture levels, which play crucial roles in plant growth. Various soil factors are sensed and collected using an IoT-based microcontroller, with data transmission facilitated by a Message Queue Telemetry Transport (MQTT) broker. Visualization of the data is achieved through the Node-RED programming tool, simplifying dashboard creation for easy monitoring. Furthermore, the collected data is stored in a MySQL server, enabling further analysis through SQL queries. The day is divided into four quarters with six-hour intervals, allowing for soil data collection using temperature and moisture sensors. The resulting information on the dashboard facilitates informed decision-making to enhance soil conditions for optimal indoor plant growth. Experimentation has revealed a reduction in soil temperature of 3°C during daytime due to air conditioning operation, while soil moisture content remains consistently between 60 to 65% during early mornings and late evenings. Additionally, emphasis is placed on remote management using IoT systems, enabling monitoring of plant growth even when access is limited. Overall, monitoring soil factors using IoT technology offers a promising approach to optimizing indoor gardening practices and minimizing environmental resource consumption.

Spatial analyses of archaeobotanical record reveal site uses and activities at Early to Middle Holocene Takarkori (Libya, Central Sahara).

This study investigates botanical remains from the Takarkori site in the Tadrart Acacus region (SW Libya) to reconstruct socio-economic and cultural characteristics of human groups during the Holocene. By analyzing micro- and macrofossils of plant origin, we aim to understand the availability and management of environmental resources and how plant taxa were used by humans. The exceptional preservation of archaeobotanical material across all occupation levels, facilitated by the region's geomorphological and environmental conditions, provides a unique opportunity to study pre-Pastoral and Pastoral Neolithic activities within a comprehensive diachronic framework. Our research extends previous investigations by examining the spatial distribution of archaeobotanical remains in association with site furniture and material correlates, offering insights into the functional use of space within the site. Also, the features of plant assemblages and their distribution patterns indicate the planning in the use of plant resources and the diverse uses beyond subsistence, including ritual and cultural practices. The findings contribute to a deeper understanding of Holocene environmental and cultural dynamics, highlighting the importance of archaeobotanical data in archaeological research.

The impact of pilot policies for low carbon city construction on the development of urban circular economy multiple time-point difference-in-differences model

IntroductionAs a means of environmental regulation, the low-carbon city pilot policy aims to address climate change and alleviate environmental resource pressures in economic development. The development of low-carbon cities often requires changes to the existing industrial and energy structures, which will have a significant impact on the regional economy.MethodsThe study is based on panel data from 273 prefecture level cities in China from 2012 to 2022, and uses the Analytic Hierarchy Process and Entropy Comprehensive Evaluation Method to construct an evaluation index system for urban circular benefits. Finally, the multiple time point differences model and mediation effect model were used to evaluate the impact and influencing factors of policies on urban economy.ResultsThe results indicate that at the 1% level, the explanatory variable coefficient significantly improves the level of urban circular economy development after adding control variables. The construction of low-carbon pilot cities has improved the performance of circular economy development by about 6.42%. The mediating effect of industrial structure rationalization is significantly positive at the 1% significance level, indicating that the construction of low-carbon pilot cities has greatly promoted the coordinated development of industrial relations within China’s low-carbon development regions.DiscussionIt can be seen that the low-carbon city pilot policy has a significant promoting effect on China’s economic development and the development of urban circular economy. Therefore, it is recommended to further expand the pilot scope of low-carbon cities and fully leverage their promoting role.

Emergy-Based Evaluation of the Sustainability of Agricultural Ecosystem in Dazhou, China, from 2002 to 2022

Our aim is to analyze the emergy evaluation indicators of the agricultural ecosystem in Dazhou, northeastern Sichuan, and provide practical and effective recommendations for sustainable agricultural development. Using emergy analysis, the emergy inputs and outputs of an agricultural ecosystem from 2002 to 2022 were calculated. Five emergy indicators were selected for evaluation: emergy yield ratio (EYR), emergy self-sufficiency ratio (ESR), emergy input ratio (EIR), environmental load ratio (ELR), and emergy sustainable indices (ESI). The total emergy input of the agricultural ecosystem showed an upward trend from 2002 to 2017, thus the industrial auxiliary emergy input decreased, somewhat curbing its continued rise from 2017 to 2022. The structure of emergy inputs, in descending order, is as follows: industrial auxiliary > organic emergy > renewable environmental resources > non-renewable environmental resources. The total emergy output of the agricultural ecosystem was highest in 2007, reaching 2.31 × 1022 Sej, and lowest in 2012, at 1.83 × 1022 Sej. The structure of emergy outputs, in descending order, is as follows: livestock > planting > fishery > forestry. The emergy yield ratio fluctuated down from 3.12 to 2.51, with an average of 2.88, below the provincial average of 3.07. The emergy self-sufficiency ratio fluctuated down from 0.30 to 0.26, with an average of 0.27, above the provincial average of 0.13. The emergy input ratio fluctuated up from 2.31 to 2.91, with an average of 2.66, above the provincial average of 1.86. The environmental load ratio fluctuated from 3.8 to 4.75, with an average of 4.40, which is higher than the provincial average of 1.68. The emergy sustainable indices fluctuated down from 0.81 to 0.53, with an average of 0.67, below the provincial average of 1.17. The efficiency of resource utilization in the agricultural ecosystem of Dazhou has decreased, economic inputs have increased, and it is in a consumptive production process. The pressure on the local natural environment is increasing, and the capacity for sustainable development remains at a low level over the long term.

Facile fabrication of green and sustainable gelatin-based aerogels for marine oil spill recovery

Efficient and rapid cleanup of marine oil spills is crucial for environmental protection and resource recovery. Biomass aerogel has a broad application prospect in oil spill treatment, but is often limited by the complex preparation process and the use of toxic cross-linking agents. In this study, the hydrophobic gelatin-based aerogels (HGAs) were simply prepared for marine oil spill recovery based on self-crosslinking of gelatin, bubbles produced by surfactants and high-speed stirring, and chemical vapor deposition using methyl trichlorosilane (MTCS). The results showed that the HGAs exhibited a three-dimensional porous structure with a water contact angle of 131.6°. Their adsorption capacities for various oils and organic solvents ranged from 60.4 to 146.5 g/g, which was linearly related to the oil density and depended on the number of pores within the material. The oil adsorption by the HGAs reached equilibrium within 30 s, following the pseudo-second-order kinetic model and the HGAs were highly stable in different temperature, pH, and salinity conditions. Simple squeezing can recover 80 % of the spilled oil, and retain 86 % of the initial adsorption capacity after 10 adsorption-squeeze cycles. Additionally, the HGAs had an excellent continuous oil-water separation performance, demonstrating significant potential and practicability in marine oil spill recovery.

Implementing the Resource Nexus approach: the contribution of internationalising German businesses

The Resource Nexus is an approach to sustainably manage environmental resources by considering the interlinkages, trade-offs and synergies between them. While a lot is known about this Resource Nexus framework and the impact this has on sustainable development and politics, far less is known about the technological, economic, and political situation required for the implementation of this approach. This paper considers the role of international business cooperation between German and Sub-Saharan African firms in facilitating this implementation. It explores the major barriers faced by German businesses looking to work in Sub-Saharan Africa and analyses the work of the German Außenhandelskammern (German Chambers of Commerce Abroad) as a replacement for the networks that are commonly seen as vital to business internationalisation. The findings have far-reaching implications for German and Sub-Saharan African politics, for business practices, and for the work of intermediary organisations looking to facilitate the internationalisation, as well as for those actors looking to implement a Resource Nexus approach across the world.

An Experimental Study to Explore the Effectiveness of a 3D Maritime Serious Game Prototype: Maritime Leaders at Sea

This paper conducts a comprehensive experimental study designed to investigate the effectiveness of a maritime serious game called Maritime Leaders at Sea (ML@S). The 3D cutting-edge prototype targets to enhance leadership and teamwork skills of undergraduate maritime students via engaging them in immersive gameplay scenarios reflective of real-world challenges at sea. Competing the ML@S sessions, the number of 76 students were included in the feedback assessment survey to assess their perceptions and attitudes on the simulated environment. The feedback is also linked to the learning analytics perspective to involve time and scoring data of players through different levels at operational scenarios. Preliminary analyses reveal promising results, suggesting a positive correlation between participation in ML@S, feedbacks after sessions, and improvements in leadership and teamwork as key competencies. It is anticipated that this study will make significant contributions towards game developers, technology start-ups, educational institutions, and global shipping companies. The implications of the study offer valuable insights for the development of future serious games aimed at enhancing essential skills of maritime human resources in dynamic and high-stakes environments.

Effective Upcycling of Degraded NCM Cathode Materials Assisted by Surface Engineering for High‐Performance Lithium‐Ion Batteries

AbstractLithium‐ion batteries (LIBs) with ternary oxide cathode materials are the prevalent energy storage devices for electric vehicles, and the huge amounts of spent LIBs pose severe challenges in terms of environmental impact and resource management. Particularly, the proper handling of degraded cathode materials is of central importance for the sustainable and closed‐loop development of LIBs industry. In this context, direct regeneration of degraded ternary oxides toward reusable high‐performance cathode materials is environmentally and economically favorable in contrast to present metallurgical recycling methods. In this work, a simple and effective two‐step method is demonstrated to regenerate the degraded NCM 622 (LiNi0.6Co0.2Mn0.2O2) materials by elemental compensation and structural restoration. Moreover, a multi‐functional LTO (Li4Ti5O12) surface coating is simultaneously designed to guarantee rapid Li+ diffusion and stable surface of the regenerated product. Therefore, the regenerated LTO‐coated NCM materials show excellent electrochemical performance; specifically, the initial discharge capacity (183.0 mAh g−1 at 0.1 C), rate capability (90.0 mAh g−1 at 10 C), and cycling stability (79.3% capacity retention after 200 cycles) are even comparable with those of fresh materials. The as‐established upcycling strategy may shed light on the value‐added recycling of degraded cathode materials and thereby a virtuous cycle of LIBs.

Recycled Aggregates Influence on the Mechanical Properties of Cement Lime-Based Mortars

The current framework for managing construction waste, guided by European Union regulations, calls for an integrated waste management system. However, the reuse of old plaster waste, particularly from deteriorated facades, remains underexplored. This study investigates the potential of repurposing old plaster waste as a substitute for aggregates and cement in mortars, with the aim of promoting environmental sustainability and resource efficiency. Three mortar mixes were analyzed: a control mix, a mix with 45% waste replacing aggregates, and a mix with 10% waste replacing cement. Results show that replacing 45% of aggregates with plaster waste led to a 30% reduction in flexural strength, while the 10% cement replacement increased flexural strength by 6%. Compressive strength dropped by 27% and 38% for cement and aggregate replacements, respectively. Despite these reductions, the waste replacement remained within acceptable limits for structural integrity. Further microscopic analysis revealed that the incomplete integration of portlandite particles from the waste contributed to non-uniform bonding and crystal formation, weakening the mortar’s structure. This research demonstrates the feasibility of reusing old plaster waste, offering a novel approach to reducing construction waste and promoting a circular economy. It contributes to filling the knowledge gap on the reuse of plaster mortars while aligning with sustainable construction goals.

Antenatal care practices for gestational weight gain: a cross sectional survey of antenatal care providers reported provision and barriers to providing recommended care.

Implementation of recommended gestational weight gain (GWG) care by antenatal care providers is poor. It is unclear whether practice implementation and barriers differ between antenatal care provider profession or experience. This study aimed to assesses the provision of and barriers to guideline care for GWG and examine associations with professional discipline and years of experience. A cross sectional survey was conducted with antenatal care providers working in three public maternity services in a regional city in Australia. Data were collected on the provision of and barriers (informed by the Theoretical Domains Framework) to recommended GWG care. Data were summarised using descriptive statistics. Associations between health profession characteristics (professional discipline and years providing antenatal care) and GWG care practices and barrier outcomes were assessed using multivariate logistic regression. 117 antenatal care providers completed the survey (75% participation rate). One quarter (25%) reported that they routinely provided recommended GWG assessment at the first antenatal visit, and 9% at subsequent visits. Only 7% routinely provided recommended advice on GWG, healthy eating and physical activity. Professional discipline or years of experience were not associated with higher odds of GWG practices. Skills, belief about capabilities, belief about consequences and environmental context and resources were barriers to providing care. Medical professionals had higher odds of agreeing that they have been adequately trained to address GWG (OR = 9.14, 95%CI:3.10-26.90) and feel competent in having sensitive conversations with pregnant women about GWG (OR = 8.60, 95%CI:2.29-32.28) than midwives. Midwives had higher odds of agreeing that there are services they can refer pregnant women to for further support (OR = 2.80, 95%CI:1.13-6.91). The provision of antenatal care for GWG was low, inconsistently provided and did not differ by professional discipline or years of experience. Antenatal care providers report numerous barriers including skills, belief about capabilities, belief about consequences, and environmental context and resources. Barriers to GWG care provision differed by professional discipline, but not years of providing care. The findings demonstrate that the type and prioritisation of practice-change implementation strategies may need to be tailored to address the differential barriers faced by professional groups.

Vision-based sorting in mixed food-inorganic waste stream

Processing food waste is crucial for environmental conservation and resource recovery, but inadequate sorting can lead to inorganic waste mixing with food waste. The mixed waste stream reduces the efficiency of food waste treatment facilities, and the preliminary sorting relies heavily on manual labor. To address the challenge of a non-homogeneous food-inorganic waste stream, this study proposes a vision-based system for effective sorting. A real-life Mixed Food-Inorganic Waste (MFIW) dataset containing over 13,000 samples and four categories of inorganic waste was created. Based on the dataset analysis, a Waste detection model using Deformable Convolution v3 was employed, and the appropriate positioning and classification algorithm was chosen for optimal detection performance. The Waste detection model achieves an mAP50 of 85.21 %, and the average recalls for packages, trash bags, and animal bones exceed 94 %. Additionally, the model runs at a real-time frame rate of 33.61 FPS, highlighting its suitability for industrial applications.

Molecular spectral line data preprocessing container load grouping prediction algorithm based on EMD-LSTM

Unbalanced allocation of container resources in cluster environments is an urgent problem to be solved. Aiming at container load prediction and resource allocation strategy, this paper designs an astronomical data processing container load grouping prediction algorithm based on empirical mode decomposition-long short-term memory network, and proposes an adaptive recommendation value generation algorithm based on predicted load information, which can automatically allocate container computing resources according to the degree of load fluctuation. The load prediction accuracy is verified using simulated data and real astronomical observation data. The experimental results show that the algorithm proposed in this paper has higher prediction accuracy than the triple index method and the single long short-term memory network model. In the real-time preprocessing test of astronomical data, the recommendation value generation algorithm proposed in this paper can effectively improve the utilization efficiency of computing resources compared with the default strategy.