Value Of Project Research Articles

Exploring GreenIoT's technical landscape: Sustainable development, deployment, use case and research challenges

The Internet of Things (IoT) has experienced exponential expansion, raising questions about its sustainability and environmental impact. In response, the developing discipline of Green Internet of Things(GreenIoT) seeks to address these problems by encouraging energy-saving and environmentally friendly IoT deployment practices. The technological environment of the GreenIoT is thoroughly explored in this article, including enabling technologies, simulators and platforms, smart applications, open projects, information on certificates and compliance, and open research challenges. The article focuses on intelligent applications that use GreenIoT concepts to meet sustainability objectives in a variety of industries, including smart buildings, transportation, agriculture, and healthcare. It demonstrates the revolutionary potential of GreenIoT in creating sustainable and environmentally friendly urban settings by outlining the fundamental characteristics, advantages, and actual implementations of these applications. The paper also highlights the value of open projects and initiatives in the GreenIoT space, looking at teamwork and research projects that promote innovation and advance energy-efficient IoT deployments, particularly in the context of India. The paper also discusses the significance of certificate and compliance information in ensuring that environmental standards and laws are followed in GreenIoT implementations. The study concludes by outlining the open research challenges in the GreenIoT, including creating specific GreenIoT architectures, controlling infrastructure complexity, resolving environmental security issues, and investigating energy-efficient communication protocols. These difficulties offer chances for more research, invention, and development in the area. It serves as a valuable resource for researchers, practitioners, and policymakers curious about the crosswords of IoT and sustainability.

Comparative analysis of the differences in volatile organic components of three lavender essential oils in Ili region using sensory evaluation, GC-IMS and GC-MS techniques

Lavender (Lavandula angustifolia Mill.) is a widely utilized aromatic plant, with the economic value of its essential oil (EO) largely dependent on its aroma. This study investigated the differences in volatile organic compounds (VOCs) within the EOs of three species of lavender (H70-1, French blue, Taikong blue) in Ili region from 2019 to 2023 with the combination of sensory evaluation, gas chromatography-ion mobility spectrometry (GC-IMS), and gas chromatography-mass spectrometry (GC-MS). The EO from Taikong blue lavender exhibited greater stability in VOC composition compared to the other two varieties. Orthogonal Partial Least Squares Discriminant Analysis (OPLS-DA) effectively distinguished the aromas of the three EOs aroma. Combining odor activity value (OAV) and variable importance in projection (VIP) values identified five VOCs crucial for discriminating among the three lavender EO types. This study provides theoretical support for the cultivation and commercialization of lavender as an industrial crop, as well as for quality control of EO production in the Ili region.

Assessing the Potential Impacts of Climate Change on Drought in Uzbekistan: Findings from RCP and SSP Scenarios

Future climate change and its impact on drought is critical for Uzbekistan, located in Central Asia, the world’s largest arid zone. This study examines the evolving intensity of climate change and drought events using multi-model ensembles (MMEs) derived from the Coupled Model Intercomparison Project Phase 5 and 6 (CMIP5 and CMIP6) simulated under the Representative Concentration Pathway and Shared Socioeconomic Pathway (RCP and SSP) scenarios. The projections show different rates of increase in temperature and precipitation under the RCPs and SSPs. Projected temperature increases are expected to reach up to 2–2.5 °C under SSP1-2.6, SSP2-4.5, and SSP3-7.0, by mid-century. By 2080–2099, an increase is projected of 2–3 °C in monthly mean temperatures throughout the year (SSP1-2.6), and a more pronounced increase in summer up to 3–4 °C (SSP2-4.5) and 4–6 °C (SSP3-7.0), with a marked contrast in conditions between the mountainous and desert regions of Uzbekistan. Regional changes in precipitation over the study periods show relatively little variability, except for FD, where notable trends are found. Under SSP1-2.6 and SSP2-4.5, the increase in precipitation is relatively modest, whereas the changes in SSP3-7.0 are more substantial, with some regions experiencing variations of up to 10–20 mm per period. The Standardized Precipitation Evapotranspiration Index (SPEI), calculated based on the projected temperature and precipitation, provides an estimate of future drought trends. Our results show increasing aridity under all scenarios by mid-century, with longer-term projections indicating stabilization around different SPEI values by 2100: RCP2.6 and SSP1-1.9 stabilize around −1.0; RCP4.5, RCP6.0, SSP2-4.5, and SSP3-7.0 stabilize around −1.5; while RCP8.5 and SSP5-8.5 scenarios project values of −2 or less by 2100. Notable differences in the SPEI index are found between lowland and foothill regions. In view of Uzbekistan’s heavy reliance on agriculture and irrigation, which are the sectors that are expected to be mostly affected by climate change, our study provides a scientific basis for informed policy decision-making. This includes various aspects such as planning and management water resources, as well as the broader socioeconomic development of the country.

Earned Value Analysis Terhadap Waktu dan Biaya Pada Proyek Pembangunan Gedung Pasar Padang Panjang

Along with the population and economic growth of West Sumatra, especially in Padang Panjang City, West Padang Panjang District, the need for public facilities is urgently needed, one of which is the Padang Panjang market. In a project, planning and controlling costs and time is part of overall project management, especially at the implementation stage of the case study reviewed by researchers, namely the Padang Panjang market building construction project. In this research regarding time and cost control, the earned value method is one method that can monitor project performance in terms of time and cost. Which aims to determine project performance in terms of time and costs each week and predict the time and costs to complete the remaining work. So that we can get corrective actions to be taken next to progress the project. In this research, to obtain a basic basis for writing, secondary data collection is used as supporting data for the analysis of the results themselves. The analysis and discussion carried out were calculating the BCWS value, BCWP value and ACWP value in order to obtain the time variance value (SV), cost variance value (CV), calculating the productivity index, calculating project performance and calculating the estimated analysis of total project costs and completion time. The results of the research carried out are, the overall BCWS value of the Padang Panjang market project is IDR 96,213,315,046.3, for the BCWP value at the end of the 22nd week of review IDR 12,688,575,967, the ACWP value at the end of the 22nd week of review is IDR. 12,389,476,444.2 . As for the analysis results obtained from several existing indicators, the SPI value was 1.384 > 1, while the CPI was 1.003 > 1, which means that the project was accelerated in terms of schedule but incurred actual costs that were smaller than the work that had been carried out. The ETC value is IDR 84,134,151,328.9 and the EAC value is IDR 96,523,627,773.1, while the ECD value is 373 days for the project completion time.

Mindfulness Meditation and the Meaning of Life

Throughout the history of philosophy, ethics has often been a source of guidance on how to live a meaningful life. Accordingly, when the ethical foundations of mindfulness are considered, an important question arises concerning the role of meditation in providing meaning. The present article proposes a new theoretical route for understanding the links between mindfulness meditation and meaningfulness by employing the terminology of Susan Wolf’s contemporary philosophical account of a meaningful life. It opens by examining the question of what kinds of life-meanings are made available by Buddhist doctrine, considering the two alternatives of a cosmic, human-independent meaning of life versus the subjective meanings that humans give to their individual lives. After surveying current psychological theories that aim to explain the correlation between mindfulness as a trait and meaning in life, all of which see mindfulness as a mediating factor in the production of meaning, I argue that Wolf’s framework offers a promising theoretical basis for clarifying the relationship between mindfulness and meaning in that it explains why mindfulness has a direct bearing on meaning in life. I then show that mindfulness meditation, as understood in Buddhism, can respond to some of the philosophical worries that arise from Wolf’s theory, specifically her concern with the standards for securing the objective value of meaningful activities and projects. My claim is that mindfulness meditation is representative of a broader class of activities that are non-subjectively valuable insofar as they are required for any exploration of objective meaning or standards of values, as well as for engagement in objectively valuable projects and activities.

Significance and Measures of Realizing Multiple Values of Engineering Projects

Significance and Measures of Realizing Multiple Values of Engineering Projects

Occupational Health & Safety Cost Analysis in Civil Construction Projects

Introduction: Occupational Health and Safety (OHS) costs are crucial for implementing safety management systems in the construction sector, particularly in Indonesia. Previous studies emphasize the potential benefits of effective OHS cost planning in reducing workplace accidents and associated costs. Objective: This study aims to analyze the allocation of OHS costs and its correlation with workplace accidents across various construction projects in Indonesia. Method: A descriptive analysis approach was employed to examine OHS cost allocation and incident rates in ten construction projects conducted by a state-owned company across multiple regions in Indonesia. Data analysis utilized Microsoft Excel and SPSS, with Pearson correlation tests conducted to assess relationships between variables. Result: The study found significant variation in OHS cost allocation, ranging from 0.20% to 1.23% of project value across different projects. Larger projects tended to allocate a lower percentage of their budget to OHS compared to smaller ones. Conclusion: Effective planning of OHS costs is essential not only in terms of percentage allocation but also considering project size, duration, workforce size, and technological aspects. The study underscores the importance of comprehensive cost-benefit analyses to further understand the impact of OHS provision on accident prevention in construction projects.

Studi Kelayakan Investasi Proyek Pembangunan Perumahan Citra Harmoni Desa Sukamakmur Kecamatan Sukajadi Kabupaten Lebak

Housing is a group of houses or other buildings built together as a single development. The form varies from country to country. Housing is usually built by a single contractor with only a few house or building design styles, so that the appearance is uniform. In Asian cities such as Singapore, Kuala Lumpur, Hong Kong, Shenzhen and Seoul, housing includes high-density tower blocks with or without commercial facilities. Meanwhile, Indonesia is one of the profitable countries for housing development. Home investment is a form of investment that is profitable in the long term. So it's not surprising that many people are interested in doing it. Houses have a stable value when compared with other investment instruments. It will not decrease even if inflation occurs. Property investment is an investment aimed at getting a return on investment or return on investment by utilizing a property. Knowing the value of housing investment returns, many business people invest in property. So it is necessary to analyze the feasibility of investment and the parameters that influence investment in this project and also the characteristics of consumers. Citra Harmoni Housing, which is located in Sukamakmur village, Sukajadi subdistrict, Lebak Regency, is a housing project whose investment feasibility we will calculate. From the analysis results of this project, the NPV calculation value for the housing project is IDR 35,913,597,917, which is certainly greater than 0, indicating that this housing project activity has financial benefits. The calculated value of the internal rate of return (IRR) is 36.943%, which is higher than the interest value of 10.9%, indicating that this housing project has a high rate of return and can be a profitable investment opportunity. The results of the Payback Period (PP) calculation show that the time required to return the initial capital in this project or investment is 1 year 7 months.

Generation of Olfactory Compounds in Cat Food Attractants: Chicken Liver-Derived Protein Hydrolysates and Their Contribution to Enhancing Palatability.

The present study investigated the impact of four chicken liver protein hydrolysate-based cat food attractants on palatability. Aroma compounds were analyzed in these attractants, which were subsequently sprayed onto four different types of cat foods. Results revealed that CF4 exhibited the highest intake ratio and the first choice ratio, followed by CF2 sample. Orthogonal partial least-squares discriminant analysis (OPLS-DA) demonstrated significant differences among 50 volatile compounds identified from the four cat foods. Using variable importance in projection (VIP) values, we selected 17 key flavor compounds responsible for distinguishing between the four cat foods. Peptides with a molecular mass <180 Da showed correlation with nonanoic acid and cedrol, while those >3000 Da correlated with hexanoic acid ethyl ester. Regression coefficients (RCs) calculated from partial least-squares regression (PLSR) results showed positive correlations between compound content and palatability for six compounds, whereas negative correlations were observed for ten compounds. Validation experiments confirmed that nonanal, 2-propylpyridine, and 3-octen-2-one enhanced palatability and correlated with peptides ranging from 180 to 500 Da; conversely, nonanoic acid ethyl ester and 3-methyl-pentanoic acid reduced palatability and correlated with peptides ranging from 1000 to 3000 Da.

Renewable energy investment under stochastic interest rate with regime-switching volatility

We examine the impact of the interest rate and its characteristics, such as long run mean and instantaneous variance risk (VR), on renewable energy investments in the power sector. The model has stochastic electricity price, stochastic interest rate, and variance regime switches. We show that an increase in the interest rate, while generally increasing the value of a power project, can have a non-monotone effect if the subsidy is sufficiently large. VR increases (reduces) the project value in the high variance regime, if the subsidy is sufficiently large (low). Under a fixed price contract, value declines and it is optimal to delay investment following an increase in the interest rate. The model helps to explain the US offshore industry experience in 2023.

Studying K-12 and post-secondary teachers’ reflections on the value of a citizen science project for fostering learning: The case of a winter stream project

Citizen science programs offer the public opportunities to be involved in hands-on scientific data collection and study. Despite a history of incorporating citizen science in the K-12 classroom, little research has focused on projects that are appealing to both K-12 instructors and higher education faculty. Our study investigates initial barriers and motivations for participation in citizen science at multiple education levels using a winter, stream ecology citizen science project. Our findings indicate a growing interest in citizen science programs in winter, as they provide opportunities for collaboration, encourage flexible data collection, and offer tangible results for participants to reflect on their local ecological habitats.

Evaluation of Aydın Koçarlı Plain Land Consolidation Project in Terms of Some Engineering Services

This study, which presents a general evaluation of the land consolidation project carried out in 14 settlements in the Koçarlı district of Aydın province, the 'Aydın Koçarlı Plain 1st Part Land Consolidation Project', completed by the Aydın Provincial Directorate of Agriculture in 2016, was examined. For this purpose, the consolidation rate, parcel reduction index, deduction rate, and changes in parcel size and parcel number values of the consolidation project carried out in Orhaniye, Madrandere, Çakırbeyli, Boydere, Cincin, Çakmar, Halilbeyli, Koçarlı, Büyükdere, Şahinciler, Sobuca, Dedeköy, Tekeli, and Güdüşlü neighborhoods were investigated. In the project area, the average deduction rate was 7%, the consolidation rate was 31%, and the parcel reduction index was 1.46. As an overall evaluation of agricultural enterprises, the average parcel size increased from 1.76 ha to 2.57 ha, while the number of parcels decreased from 0.93 to 0.64. Land consolidation projects have a high potential to increase agricultural productivity and promote sustainable farming practices. Therefore, the results obtained from the study can contribute to the planning and implementation of similar projects.

Analysis of the Volatile Components in Different Parts of Three Species of the Genus Amomum via Combined HS-SPME-GC-TOF-MS and Multivariate Statistical Analysis.

The study used headspace solid-phase microextraction coupled with gas chromatography-time-of-flight mass spectrometry (HS-SPME-GC-TOF-MS) to analyze volatile compounds in leaves and fruits of Amomum tsaoko, Amomum paratsaoko, and Amomum koenigii. The composition and aroma of distinct metabolites were analyzed using multivariate statistical methods. A total of 564 volatile compounds were identified from three species of the genus Amomum, which were further divided into nine categories: terpenoids, carboxylic acids, alcohols, hydrocarbons, aldehydes, ketones, phenols, ethers, and other compounds. Terpenoids and alcohols were the most abundant. The content and types of compounds vary in A. tsaoko, A. paratsaoko, and A. koenigii, so mixing or substituting them is not advisable. We selected 45 metabolites based on the criteria of the variable importance in projection values (VIP > 1.5) and one-way ANOVA (p < 0.05). The top 19 metabolites with the most significant VIP values were chosen. Interestingly, (Z)-2-decenal was only found in Amomum koenigii, while nitroethane and nonanal were only present in cultivated A. tsaoko. Additionally, linalool, cineole, and (D)-limonene were the main components affecting the aroma of three species of the genus Amomum. The volatile components identified in this study provide a theoretical basis for analyzing the unique flavor of A. tsaoko, A. paratsaoko, and A. koenigii.

Analyzing Contingency Estimation for Residential Turnkey Projects in Saudi Arabia: A Neural Network Approach

Utilizing a turnkey approach to deliver a construction project entails significant risks from the contractor’s perspective. Essentially, the owner awaits project completion without commitments regarding additional expenditures incurred by the contractor during the project’s duration. This paper specifically focuses on estimating and analyzing the contingency value for residential turnkey projects in Saudi Arabia. The contingency value across the project’s life cycle is estimated using six Artificial Neural Network (ANN) models, which are compared to identify the best-trained network according to project complexity, contingency factor, and contingency impact during the project phases. The output layer provides the contingency factor percentages for each project phase. A 13-story reinforced concrete (RC) residential building established in one of Saudi Arabia’s cities was selected to implement the developed methodology. The contingency estimation, performed using @Risk 7.5 and NeuralTools 7.5, was determined to be 11.34% and was distributed across the five phases of the project’s life cycle: 0.30% for predesign, 0.99% for design, 2.61% for preconstruction, 6.33% for construction, and 1.12% for postconstruction. Furthermore, it was found that the estimated contingency varies based on project complexity, which is 7.20% for low complexity, 8.16% for medium complexity, 9.41% for complicated, and 11.34% for very complicated projects. Historical data and peer review approaches are employed to validate the results, both of which are endorsed by professionals in this field. This paper highlights two main contributions: Firstly, it significantly enhances risk management by facilitating a comprehensive understanding and systematic analysis of risks, thus improving the contractors’ ability to mitigate potential negative impacts on projects. Secondly, it supports more informed decision-making through the use of advanced techniques to estimate and analyze contingency values. These contributions are critical for contractors engaged in Saudi construction projects, particularly those involving residential buildings.

Pharmacological Components and Mechanism Research on the Treatment of Myelosuppression after Chemotherapy with Danggui Jixueteng Decoction Based on Spectrum-Effect Relationships and Transcriptome Sequencing.

Danggui Jixueteng decoction (DJD) has been used to treat anemia for many years and has been shown to be effective. However, the mechanism of action and effective components are yet unknown. We want to search for pharmacodynamic components in DJD with therapeutic effects on myelosuppression after chemotherapy (MAC), utilizing a spectrum-effect connection study based on gray relational analysis and partial least-squares regression analysis. Transcriptome sequencing (RNA-Seq) was used to investigate the mechanism by which DJD treats MAC. In this study, fingerprints of different batches of DJD (S1-S10) were established by ultraperformance liquid chromatography-mass spectrometry (UPLC-MS), after which the resulting shared peaks were screened and identified. A total of 21 common peaks were screened through the fingerprints of different batches of DJD, and the similarity of each profile was greater than 0.92. The 21 shared peaks were identified by comparison with the standard sample and searching on a MassLynx 4.1 workstation. The rat model of MAC was established by intraperitoneal injection of cyclophosphamide, and DJD treatment was carried out in parallel with the establishment of the model. White blood cell count, red blood cell count, platelet count, interleukin-3, hemoglobin concentration, granulocyte-macrophage colony-stimulating factor, and nucleated cell count were used as efficacy indicators. Pharmacodynamic results indicated that DJD could effectively improve the pharmacodynamic indices of MAC rats. The results of gray relational analysis demonstrated eight peaks with high correlation with efficacy, which were 2, 7, 10, 14, 15, 16, 18, and 21, and the partial least-squares regression analysis showed four peaks with variable importance in projection values greater than 1, which were 10, 12, 13, and 19. RNA-Seq was used to identify DEGs in rat bone marrow cells, Gene Ontology functional enrichment and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses of DEGs were performed. The genes related to the effects of DJD on MAC were mainly involved in the phosphatidylinositol 3-kinase/serine-threonine kinase (PI3K-Akt) signaling pathway, the mitogen-activated protein kinase signaling pathway, actin cytoskeleton regulation, focal adhesion, and Rap1 signaling pathways. The results of the RNA-Seq study were confirmed by a qPCR experiment. The effective compounds of DJD against MAC include albiflorin, paeoniflorin, gallopaeoniflorin, salvianolic acid H/I, albiflorin R1, salvianolic acid B, salvianolic acid E, benzoylpaeoniflorin, and C12H18N5O4. The mechanism by which DJD prevents and treats MAC might involve the control of the PI3K-Akt signaling pathway.

Comparative investigation on the aroma profiles of edible citrus flowers in the main organs and different developmental stages

Pomelo flowers emit a strong fragrance and give aromatic odors. Volatile compounds from pomelo flowers were analyzed at three developmental stages and in the main organs by molecular sensory science. A total of 134 volatiles including 25 odorants, were analyzed by gas chromatography–mass spectrometry/pulsed flame photometric detector (GC–MS/PFPD) and multidimensional GC–MS/olfactory (MDGC–MS/O). The total volatile content varied among pomelo flowers at different developmental stages (stage-III > stage-II > stage-I) and among different organs of pomelo flowers (petal > pistil > stamen). Linalool was an important odorant with a high OAV, and floral/fruity comprised the predominant aroma profile. Four odorants, ethyl 2-methylbutanoate, linalool, β-myrcene, and 2-butenal, were selected based on variable importance in projection (VIP) values and contributed mainly to the discrimination of pomelo flowers at three different developmental stages. Linalool, β-myrcene, d-limonene, and ethyl hexanoate were potential markers for evaluating flavor differences in pomelo floral organs.

Real options analysis of seawater desalination with solar photovoltaic energy systems: A least-squares stochastic perspective

Real Options Analysis (ROA) offers a modern theoretical framework to evaluate the impact of managerial flexibilities and uncertainties on the intrinsic investment value of renewable-powered desalination projects. This study analyzes Photovoltaic-powered Reverse Osmosis (PV-RO) desalination plants using a novel Least Square Monte-Carlo Real Options Analysis (LSMC-ROA) to assess the deferral of investment decisions. Three scenarios for powering RO are explored: reliance on the national grid with a subsidized electricity tariff for of $0.085/kWh, which applicable only to governmental sections in Saudi Arabia, full PV power with grid balancing ($0.083/kWh), and PV with a battery storage system (average electricity cost of $0.138/kWh). The presented modeling results reveal that considering the flexibility to defer and wait for new information, the total investment values would be $43.9 million, $59.6 million, and $30.5 million, respectively. Therefore, the optimal investment timing might be to defer investment to the second year. Additionally, the analysis reveals an unexpected outcome: a threshold salinity level for feedwater exists that can affect the economic viability of renewable-powered desalination. The proposed LSMC-ROA framework emerges as a robust tool for addressing uncertainties and assessing economic feasibility in the context of PV-RO desalination projects.

Analysis and Real-Time Monitoring of the Influence of Wind Load on a High-Altitude Steel Connecting Bridge with Small Spacing

With the development of steel-structure construction technology in high-rise buildings, the design and construction of high-rise steel structures tend to be complicated. Based on the Zhuhai Tiejian Square project, the fluid-structure coupling calculation analysis and on-site monitoring are carried out in view of the wind load of the high-altitude steel-structure connecting bridge in the hoisting stage of the Zhuhai Tiejian Square project. The main structure of the project is four towers and five high-altitude, small-spacing steel structures connecting the four towers. The lifting process of the third zone is taken as the analysis object, and the hoisting idea of “low-altitude hoisting, overall lifting” is adopted. Because the span of the high-altitude steel-structure connecting bridge is small and the installation height is high, the influence of wind load on the hoisting process cannot be ignored. Therefore, the unidirectional fluid-structure coupling model of the high-altitude small-space steel-structure connecting bridge in the third zone was established by using CFD calculation software ANSYS Fluent 2022 R1, and the corresponding flow field and solid calculation results were obtained and analyzed. The analysis results show that the lifting structure still produces a certain deformation when the wind speed is 5 m/s or 10 m/s, and the calculation results show that the stress calculation results are still within the safe range of steel strength for the sensitivity of the lifting structure under wind load. With the increase of wind speed, the local maximum stress of the structure increases greatly, but the overall deformation remains stable, which indicates that the greatest challenge of hoisting steel structures under wind load may be the stability direction rather than the strength, so it is necessary to strictly monitor the displacement deformation of the structure during construction. Then, through the monitoring of the overall lifting process of the high-altitude, large-span, steel-connected structure of Zhuhai Tiejian Square from pre-lifting to formal lifting, real-time monitoring and data analysis show that the lifting process of the high-altitude steel bridge of Zhuhai Tiejian Square is safe and reliable, the force transformation of each component is reasonable, the lifting process is relatively stable, the external environment has little impact, and the expected monitoring effect has been achieved. The calculation simulation and on-site monitoring in this paper can provide theoretical and practical guidance for the construction safety under the influence of wind load in the construction process of high-altitude steel-structure hoisting, and provide an important reference value for similar projects.

A dynamic routing scheme for underwater acoustic sensor networks in submarine disaster applications

IntroductionThe ocean economy serves as a critical engine for the development of human society and economy, and its stable growth is of utmost importance. However, the frequent and unexpected occurrence of natural disasters, such as submarine disasters, poses significant threats to human society, especially disasters related to wave phenomena like the Ekman current, which has particularly prominent impacts.MethodsThe study proposes a dynamic routing scheme for underwater acoustic sensor networks. It establishes a cone-shaped distributed network, utilizing autonomous underwater vehicles to collect crucial data from nodes deployed on the seabed and transmitting it through the underwater cone-shaped distributed sensor network. Additionally, it adopts source location protection (SLP) technology to ensure the privacy of source locations. To validate the practicality and stability of this scheme, simulation experiments targeting the Ekman current were conducted in MATLAB.ResultsThe experimental results demonstrate that the cone–SLP network significantly reduces the frequency of routing information exchange and energy consumption among acoustic sensors, effectively enhancing the economy and durability of the sensor network. Furthermore, it exhibits robust practicality and high stability in complex and variable submarine environments.DiscussionThis research not only provides a practical method for effectively monitoring submarine disasters but also offers valuable experience and significant reference value for other similar projects, playing a more crucial role in the sustainable development of the ocean economy.

The Community is the Cure: How African American Washington, DC Residents Informed Opioid Treatment Engagement

Abstract: Background: Recent data indicate rising opioid overdose deaths among African American residents of Washington, DC. Objectives: We highlight a community-informed approach to assessing attitudes toward opioid use disorder treatment among DC residents (February 2019 to March 2020). Methods: A listening tour with trusted community leaders led to the formation of a Community Advisory Board (CAB). When the COVID-19 pandemic commenced in March 2020, community dialogues became exclusively virtual. The CAB partnered with academic leaders to co-create project mission and values and center the community’s concerns related to opioid use and its causes, treatment structure, and facilitators of effective engagement. Results: Interview guides were created for the engagement of community members, using values highlighted by the CAB. The CAB underscored that in addition to opioid problems, effective engagement must address community experience, collective strengths/resilience, and the role of indigenous leadership. Conclusions: Engaging community prior to project implementation and maintaining alignment with community values facilitated opioid use disorder assessments. Community-informed assessments may be critical to building community trust.