Radar Chart Research Articles

Waste cooking oil based capsules for sustainable self-healing asphalt pavement: Encapsulation, characterization and fatigue-healing performance

Waste cooking oil has surfaced as a hazardous waste that induces severe environmental contamination. Encapsulation technology presents a viable solution to regenerate the waste oil and augment the self-healing ability of asphalt materials. This study characterized capsules synthesized with selected waste oil for self-healing asphalt mixture, and evaluated the self-healing and environmental impact. The wetting ability, capillary, anti-aging, and self-healing performance of three potential healing agents were analyzed, and the optimal healing agent was obtained by evaluating the comprehensive behavior with the radar chart method. Capsules were synthesized using the ionic gelation method, and their thermal stability, chemical structure, mechanical performance, and morphology were characterized. Fatigue-healing performance asphalt mixture with capsules were investigated by indirect tensile fatigue test with intermittent time. Leakage of waste oil core were measure to verify it environmental impact to surroundings. Results showed that all healing agents could restore the aged asphalt, and waste rapeseed oil had superior overall performance with comprehensive fi value of 0.993 in radar chart evaluation. The compression characteristic of the capsules could transform from brittleness to plasticity as the water-to-oil(WO) ratio decreases from 15 to 5. SEM observation implied when the WO ratio varied from 10 to 15, the multi-pore structure of capsules could be appropriately filled. The addition of capsules in the mixture increased the fatigue life extension rate (HDf) of aged mixtures (with intermittent time 0.1 s∼0.8 s) by 10∼30%. Leakage of waste oil from the mixture was inhibited, substantially reducing 38% release of waste oil. This can serve as a means for the sustainable utilization of waste oil, thereby mitigating environmental pollution and negative effects caused by waste oil.

온라인 마켓의 평점 제공을 위한 시각화 디자인 방식에 따른 소비자 의사결정 편향

This study investigated the biases associated with commonly used bar or star designs for visualizing product or service reviews in online markets. Previous research has shown biases in decision-making when inferring average scores using bar graphs, but it remained unclear whether similar biases exist with star shapes or other visualization designs. Therefore, it is crucial to examine whether the methods of using bar, star, and violin plot designs for product reviews actually induce biases in people's judgment of scores. A total of 257 participants took part in the study, where they were presented with product rating designs created using bar, star, and violin plot methods and asked to make decisions. The results revealed biases in bar and star designs compared to violin plot. This suggests that biases may occur due to human perceptual characteristics even when providing simple average rating designs and indicates that violin plot methods, which provide information on both average and distribution simultaneously, may help reduce biases in specific decision-making tasks.

Efficient cytometry analysis with FlowSOM in Python boosts interoperability with other single-cell tools.

We describe a new Python implementation of FlowSOM, a clustering method for cytometry data. This implementation is faster than the original version in R, better adapted to work with single-cell omics data including integration with current single-cell data structures and includes all the original visualizations, such as the star and pie plot. The FlowSOM Python implementation is freely available on GitHub: https://github.com/saeyslab/FlowSOM_Python.

Predicting undergraduate student evaluations of teaching using probabilistic machine learning: The importance of motivational climate

The purpose of this study was to understand the complex interactions within a course among motivational climate variables and student evaluations of teaching (SETs) by developing online simulators using probabilistic machine learning. We used data from 2938 undergraduate students in 30 classes to create online simulators based on Bayesian Belief Networks. We created bubble charts, line graphs, and radar charts to show the relationships between the study variables. Findings showed that (a) the motivational climate variables—as measured by the MUSIC Model of Motivation variables—are the largest predictors of SETs, (b) student interest (in the coursework and instructional methods) is the overall largest predictor of SETs, (c) the relationships between the motivational climate variables and SETS are nonlinear, (d) the ease of the course and demographic variables are only weakly associated with SETs, and (e) the largest predictors of instructor and course rating are similar, but somewhat different.

Greenness-sustainability metrics for assessment smart-chemometric spectrophotometric strategy for evaluation of the combination of six gastric proton-pump inhibitors with two selected impurities

Green analytical approaches are employed for the determination of active pharmaceutical ingredients, in conjunction with their impurities. Smart chemometric spectrophotometric techniques, including orthogonal partial least square (OPLS), variable selection such as genetic algorithm (GA-OPLS), and interval selection (i-OPLS), were utilized. These chemometric models were implemented for assessing six proton-pump inhibitors Omeprazole, Esomeprazole, Lansoprazole, Pantoprazole, Rabeprazole, and Dexlansoprazole along with two selected official impurities, namely 4-Desmethoxy omeprazole impurity and Rabeprazole-impurity B. Experimental design was implemented to separate impurities, in the process of multivariate calibration, a five-level eight-factor calibration design consisting of 25 samples was selected. This design was deliberately selected to guarantee that the components were mutually orthogonal to assess the model's performance and reliability, a separate validation set of 15 samples was constructed. The best-performing of the proposed techniques were identified by considering the least favorable values of the Correlation Coefficient (R ≥ 0.9995), the Root Mean Square Error of Prediction (RMSEP) values between (0.0102–0.5622), and the Relative Error of Prediction (REP) values between (0.2961–1.1917). The proposed and reported methods' greenness-sustainability was quantitatively evaluated, and a comparative study of the greenness profile was established through a spider chart, the National Environmental Method Index tool, advanced and modified NEMI along with the Hexagon tool, and the whiteness qualities of the presented approaches were assessed by implementing the recently adopted Red-Green-Blue paradigm and White Analytical Chemistry tool. These approaches are well-suited for use in quality control laboratories due to their observed acceptance, long-term sustainability, simplicity, and affordability.

Development of lightweight and high-strength hollow titanium-plated denture material using three-dimensional printing.

Owing to its desirable ability to fabricate complex shapes, three-dimensional printing is preferred over casting for manufacturing dentures. Furthermore, titanium is widely used in dental implants and dentures because of its high corrosion resistance, biocompatibility, strength, and low density. In this study, we aimed to develop a new metal denture material from three-dimensional-printed (3DP) to achieve lighter weight and greater strength than those of PMMA dentures. Hollow (3DP-H) structure and solid (3DP-S) structure titanium plate specimens of 0.5, 1.0, and 3.0mm in thickness were used. Casted Ti, casted Co-Cr, and PMMA plates were fabricated for comparison. Elastic modulus, density, thermal conductivity, hardness, and proof stress of the specimens were measured and plotted on a radar chart to enable multifaceted evaluation. The results indicated that the density of the 3DP-H plates reduced by 28-36% compared with those of 3DP-S and cast Ti plates. The weight of the metal-denture-equivalent section of the 0.5-mm-thick 3DP-H titanium-plated denture reduced to two-thirds that of the 2.0-mm-thick PMMA denture. The proof stress of the 0.5-mm-thick 3DP-H plate increased to about 3 times that of the 2.0-mm-thick PMMA plate. The total value of the 0.5-mm-thick 3DP-H titanium plates was higher than it of the 1.0-mm-thick PMMA plates. This study suggests that it is possible to produce 3DP-H titanium plate dentures exhibiting not only extremely lightweight compared to conventional PMMA dentures but also sufficient strength.

Measuring the similarity of charts in graphical statistics

Figures used in statistics and other sciences play a vital role in understanding and analyzing the problems under study. Due to the complexity and diversity of these problems, figures such as cartograms, choropleth maps, or radar charts take various geometric forms. Their visual evaluation from the view of geometric similarity is essential but insufficient. This paper proposes and theoretically justifies new metrics based on graph theory. They make it possible to quickly determine the degree of similarity of the statistical figures used in the research procedure. The new metrics were used to 1. Determine the similarity of the domestic route networks of major U.S. airlines, 2. Determine the similarity of the distribution of votes cast in U.S. presidential election in each state in 2016 and 2020, 3. Compare radar charts of some countries, constructed based on the Global Competitiveness Index, 4. Analyze the similarity of neutrosophic double line graphs representing sets of approximate (neutrosophic) numbers. This improves analytical capabilities concerning various processes mapped with well-known types of statistical charts, such as choropleth maps, radar charts, etc.

Comprehensive Evaluation of NIMBY Phenomenon with Fuzzy Analytic Hierarchy Process and Radar Chart

The risk level of the NIMBY (Not In My Back Yard) phenomenon is crucial for the safety and economy of transmission and transformation projects which is rarely studied, especially for site selection and the construction of transmission lines and substations. In order to effectively evaluate the risk level to solve the dilemma caused by the NIMBY phenomenon, an evaluation method for quantifying the level of the NIMBY phenomenon is proposed. In this paper, thirty-one evaluation criteria and a risk model are put forward according to relevant laws and regulations that should be followed in the transmission and transformation project in China, then the scores corresponding to these criteria are obtained by a questionnaire survey. The radar chart method and minimum area method are applied to determine the weights of the element and unit layers. Furthermore, the overall risk level is evaluated by the fuzzy comprehensive evaluation method. In addition, a transmission and transformation project in Xi’an City, China, is used as an example to verify the correction of the risk model and its evaluation method. The results show that the weaknesses in the transmission and transformation project are analyzed, and suggestions for decreasing the risk level are put forward to minimize losses due to the NIMBY phenomenon.

Multiscale optimization on polymer-based rejuvenators for the efficient recycling of aged high-viscosity modified asphalt: Molecular dynamics simulation and experimental analysis

With the depletion of fossil fuels, the advancement of efficient pavement recycling technology has garnered widespread attention, which contributes to the promotion of sustainable economic and environmental development. The polymers in polymer-based composite rejuvenators (PBCRs) are the key to restoring the performance of aged high-viscosity modified asphalt (HVMA). To optimize the polymers in PBCRs, this study investigates the rejuvenation effect and interface diffusion mechanism of various PBCRs using molecular dynamics simulation and experimental analysis. First, four PBCRs with different polymer components were designed, and their impact on the performance of weather-aged HVMA were examined using the rheological test, low-temperature force ductility test, crack resistance test, and aging resistance test. Subsequently, the rejuvenation effects of four PBCRs were ranked using the comprehensive performance radar chart. Finally, molecular models and layer models of weather-aged HVMA and four PBCRs were constructed, and the diffusion fusion process and interaction mechanism were analyzed using the molecular dynamics simulation. The findings indicate that PBCRs can rebuild the polymer network structure, partially restore the rheology, elastic recovery, and low-temperature ductility of aged HVMA. Additionally, PBCRs significantly reduce the crack potential of aged HVMA and ensure satisfactory aging resistance. Molecular dynamics simulation shows that due to the differences in their molecular structures, the diffusion ability of PBCRs is ranked as follows: crumb rubber rejuvenator (CR + R) > SBR rejuvenator (SBR + R) > SBS rejuvenator (SBS + R) > HVM rejuvenator (HVM + R). In summary, SBS + R proves most effective in regulating asphalt components and rebuilding the polymer network structure, but its interfacial diffusion ability is inferior to CR + R and SBR + R. CR + R has the highest diffusion coefficient, but its rejuvenation effect is not ideal. HVM + R is slightly less effective at rejuvenation than SBS + R, but has the worst diffusion capacity. The rejuvenation effect and diffusion ability of SBR + R are both not ideal. This study has significant implications for optimizing the polymers in PBCRs and promoting the efficient rejuvenation and eco-friendly sustainable development of HVMA.

Diversified cropping systems for reducing soil erosion and nutrient loss and for increasing crop productivity and profitability in rainfed environments

CONTEXTGlobally, rainfed regions encounter several constraints that limit crop production. Poor and degraded soils resulting from soil erosion are one among them. We hypothesized that a diversified cropping system in rainfed drylands can reduce soil erosion and improve soil health and crop productivity and meet the food security needs of rainfed farmers. OBJECTIVEThe study aimed to assess potential diversified cropping systems in terms of reducing soil erosion and water and nutrient losses, and increasing crop and systems productivity and profitability. METHODSThe study was carried out at the Gungal Research Farm of ICAR Central Research Institute for Dryland Agriculture (17o05’ N, 78o39’E) from 2015 to 16 to 2020–21. The study investigated seven diversified cropping systems (treatments): sorghum + pigeon pea- hedge lucerne, sorghum + pigeonpea- guinea grass, castor- hedge lucerne, castor- guinea grass, sorghum- fodder clusterbean- fodder cowpea- fodder horsegram, sole sorghum, and sole pigeonpea. Multi-criteria assessments were conducted to understand trade-offs related to soil nutrients and their losses, and productivity and profitability of various annual and perennial based systems. RESULTS AND CONCLUSIONSAmong the various systems evaluated, sole sorghum was the most sensitive to soil erosion, leading to highest amount of nutrient loss in all years (87.5, 47.3, and 9.8 kg N, P and K ha−1 in 2019–20, 102.4, 58.2, 14.2 kg N, P and K ha−1 in 2020–21, and 78.6, 39.2, 6.16 kg N, P and K ha−1 in 2021–22). The perennial based cropping systems with more diverse crops and greater land cover that included sorghum + pigeonpea - guinea grass and sorghum + pigeon pea - hedge lucerne had the lowest amount of nutrient loss. The least cumulative monetary value of nutrient loss was in sorghum + pigeon pea - hedge lucerne (137.11 US$) followed by sorghum + pigeonpea - guinea grass (145.33 US$). The systems with diverse crops reduced runoff and soil erosion, improved soil health, and increased crop and systems productivity and profitability. The trade-offs analysis using the radar graphs also showed lower soil loss and improved soil heath in diversified perennial based cropping systems, resulting in increase in net income to US$1981 for sorghum + pigeonpea - hedge lucerne compared to US$909 for sole sorghum. SIGNIFICANCEPerennial based cropping systems with diverse crops can be an effective strategy to reduce soil erosion and improve soil health, and increase crop and systems productivity in rainfed areas of south India. These results have implications to other countries globally with rainfed climate and dryland farming.

A Process for Monitoring the Impact of Architecture Principles on Sustainability: An Industrial Case Study

Architecture principles affect a software system holistically. Given their alignment with a business strategy, they should be incorporated within the validation process covering aspects of sustainability. However, current research discusses the influence of architecture principles on sustainability in a limited context. Our objective was to introduce a reusable process for monitoring and evaluating the impact of architecture principles on sustainability from a software architecture perspective. We sought to demonstrate the application of such a process in professional practice. A qualitative case study was conducted in the context of a Dutch airport management company. Data collection involved a case analysis and the execution of two rounds of expert interviews. We (i) identified a set of case-related key performance indicators, (ii) utilized commonly accepted measurement tools, and (iii) employed graphical representations in the form of spider charts to monitor the sustainability impacts. The real-world observations were evaluated through a concluding focus group. Our findings indicated that architecture principles were a feasible mechanism with which to address sustainability across all different architecture layers within the enterprise. The experts considered the sustainability analysis valuable in guiding the software architecture process towards sustainability. With the emphasis on principles, we facilitate industry adoption by embedding sustainability in existing mechanisms.

Biomechanical and physical properties selection of Ti-Ha-CaCO<sub>3</sub> biocomposite prostheses for replacement of bone atrophy

Traditional prosthetic materials often lack the desired properties to mimic the mechanical behaviour of natural bone, leading to complications and reduced implant longevity. This study aims to conduct a biomechanical and physical properties selection analysis for biocomposite prostheses' suitable for replacing bone atrophy. This involves evaluating the mechanical properties of developed biocomposites with different structures (dense, porous and gradient) to ensure compatibility with the mechanical properties of bone. The radar chart was adopted to compare and evaluate the mechanical strength of various biocomposite implants and identify the most suitable prosthesis for load-bearing bone replacement. The study utilises powder metallurgy, scanning electron microscopy (SEM), and ImageJ software to produce and characterise the pore size distribution of the biocomposites, respectively. The findings of this study revealed the gradient and porous biocomposites exhibited desired mechanical properties with porosity of 20.67 and 27.72 % pore size up to 134 and 256 μm, compressive strength of 174 and 149.29 MPa and compressive modulus of 30.42 and 28.3 GPa respectively. The SEM analysis, coupled with pore size distribution and porosity percentage measurements, offers valuable information for designing and fabricating biomaterials with enhanced properties. The gradient biocomposite was identified to be the best sample for load-bearing bone replacements by the selection analysis because of its high compressive strength and low modulus, which is within the established cortical bone mechanical properties.

Spider chart, greenness and whiteness assessment of experimentally designed multivariate models for simultaneous determination of three drugs used as a combinatory antibiotic regimen in critical care units: Comparative study

In this study, five earth-friendly spectrophotometric methods using multivariate techniques were developed to analyze levofloxacin, linezolid, and meropenem, which are utilized in critical care units as combination therapies. These techniques were used to determine the mentioned medications in laboratory-prepared mixtures, pharmaceutical products and spiked human plasma that had not been separated before handling. These methods were named classical least squares (CLS), principal component regression (PCR), partial least squares (PLS), genetic algorithm partial least squares (GA-PLS), and artificial neural network (ANN). The methods used a five-level, three-factor experimental design to make different concentrations of the antibiotics mentioned (based on how much of them are found in the plasma of critical care patients and their linearity ranges). The approaches used for levofloxacin, linezolid, and meropenem were in the ranges of 3–15, 8–20, and 5–25 µg/mL, respectively. Several analytical tools were used to test the proposed methods' performance. These included the root mean square error of prediction, the root mean square error of cross-validation, percentage recoveries, standard deviations, and correlation coefficients. The outcome was highly satisfactory. The study found that the root mean square errors of prediction for levofloxacin were 0.090, 0.079, 0.065, 0.027, and 0.001 for the CLS, PCR, PLS, GA-PLS, and ANN models, respectively. The corresponding values for linezolid were 0.127, 0.122, 0.108, 0.05, and 0.114, respectively. For meropenem, the values were 0.230, 0.222, 0.179, 0.097, and 0.099 for the same models, respectively. These results indicate that the developed models were highly accurate and precise. This study compared the efficiency of artificial neural networks and classical chemometric models in enhancing spectral data selectivity for quickly identifying three antimicrobials. The results from these five models were subjected to statistical analysis and compared with each other and with the previously published ones. Finally, the whiteness of the methods was assessed by the recently published white analytical chemistry (WAC) RGB 12, and the greenness of the proposed methods was assessed using AGREE, GAPI, NEMI, Raynie and Driver, and eco-scale, which showed that the suggested approaches had the least negative environmental impact. Furthermore, to demonstrate solvent sustainability, a greenness index using a spider chart methodology was employed.

STEM in Higher Education: Analysis of Gendered Themes Across Pacific Northwest Institutional Policies

Despite efforts to reach gender parity, women remain underrepresented in academic STEM fields. Structural conditions within universities are known to contribute to this underrepresentation, but existing studies have not adequately address university policies and their connection to persistent gender inequality in the academy. To bridge this gap, we apply Acker’s Theory of Gendered Organizations (1990) to the university setting by analyzing policy texts from thirteen diverse institutions, including doctorate-granting and primarily undergraduate serving universities, as well as community colleges. Specifically, we assessed the extent to which the language contained in these documents is gendered. Through the creation of conceptual lexicons and use of several metrics (i.e., polarity scores, n-grams, and radar charts), we determined that the university policy texts were largely written as gender-neutral. However, future studies should examine the implementation of these policies, as the latter may be responsible for perpetuating gender inequities.

Fuzzy Radar Evaluation Chart for Improving Machining Quality of Components

Some studies have shown that any part machined by an outsourcer usually has several basic quality characteristics. When the outsourcer’s process capabilities are insufficient, the defective rate of various quality characteristics of the product will increase, thereby raising the rework rate and scrap rate. As a result, maintenance costs will go up, economic value will decrease, and even carbon emissions can increase during the production process. In addition, the process capability index and the radar chart are widely used in engineering management and other fields. Since process indicators often contain unknown parameters, sample data are needed for evaluation. With the rapid development of the Internet of Things and big data analysis, many companies regard rapid response as a basic requirement for timeliness and cost consideration. Therefore, companies often have to evaluate the process quality of ten small samples and decide whether to make some improvements. In order to solve the above problems, this study proposed a fuzzy radar chart evaluation model for the process quality of multi-quality characteristic parts based on the process capability index. Using this model can help all parts manufacturers continue to improve the quality of their machined parts as well as reduce their rework and scrap rates. Meanwhile, carbon emissions can be lessened during the production process, and companies can fulfill their social responsibilities. This fuzzy radar chart evaluation model is based on confidence intervals. As the company’s past experience is incorporated, the evaluation accuracy can be maintained even with a smaller sample size. Furthermore, the fuzzy radar evaluation chart can simultaneously evaluate the process capabilities of all quality characteristics of the part. In addition to making it easier for manufacturers to master all quality characteristics, quality process capability can also help them seize improvement opportunities.

Investment Analysis of New Fire Truck: A Case Study of Purchase or Rent Option

PKT, as a petrochemical company with high potential hazards, prioritizes emergency preparedness and response by complying with regulations and standards. In addition to serving its own needs, PKT’s fire and rescue department also provides emergency services to four neighboring companies through an annual fee cooperation scheme. To enhance the emergency response services, PKT conducted an evaluation and identified the need for an additional fire truck unit with up-to-date technology. To determine the most suitable option, PKT is considering purchasing or renting the new fire truck units. A financial modeling analysis was conducted using income from health and safety services. The financial feasibility analysis, considering parameters such as NPV, IRR, and discounted payback period, resulted in a feasible outcome. The Purchase option exhibited better economic value, with a predicted NPV of Rp. 569,276,495, an IRR of 11.56% (higher than the discount rate of 10.5%), and a discounted payback period of 9.35 years. Sensitivity analysis, using tornado and spider charts, revealed that the annual fee from clients or joint venture companies had the most significant impact on the project’s financial performance, followed by manpower costs. A 20% increase in annual fees led to a significant increase in NPV Rp. 6,639,013,466, while a 20% decrease resulted in a significant decrease in NPV (−Rp. 5,500,460,477). Similarly, a 20% increase in manpower costs resulted in a decreased NPV of Rp. −3,500,609,667. Based on the sensitivity analysis, the two significant factors influencing the purchase option were identified as the annual fee and manpower cost. Recommendations that are also put forward for this study are identification to anticipate increases in labor costs and to keep manpower costs under control. The increase in manpower costs must be accompanied by an increase in income. Exploring opportunities to attract additional clients, particularly companies in the industrial complex that do not yet have an agreement with PKT, is also advised. By implementing these recommendations and ensuring cost control, PKT can optimize its emergency response services and maintain a financially viable operation.

In Search of the Proper Dimensions of the Optimum In-Wheel Permanent Magnet Synchronous Motor Design

In this paper, a new approach to the optimized design of outer rotor Permanent Magnet Synchronous Motors (PMSMs) for in-wheel light electric vehicle (LEV) applications is presented. The optimized design study is based on various dimensions such as back iron depth, permanent magnet depth and air gap length. The novel method is developed to reveal the quality factor of design (QFD), which implies the maximum possible performance results, and determine the best possible design for in-wheel PMSMs for direct-drive LEV applications. Therefore, the thickness of the back iron, permanent magnet and air gap dimensions are altered accordingly to obtain an optimized design. This design study is conducted for an in-wheel PMSM that has rated values of 2.5 kW, 150 V, 900 min−1, and 24-slot/20-pole configuration intended for LEV propulsion. These designs are simulated in order to obtain the maximized combination of efficiency, shaft power, shaft torque and a minimized combination of total weight, iron losses, copper losses, input current and cogging torque. The measure of the optimized parameters is named QFD, which indicates the goodness of the design through the use of radar charts. The values of the essential coefficients of QFD may vary for different applications, e.g., the design of PMSMs used in traction applications has some certain criteria that imply high-performance operation. Additionally, the QFD can guide motor manufacturers as a starting point for a design study.

АНАЛІЗ ТА ОЦІНЮВАННЯ ТРАНСФОРМАЦІЇ ВЛАСТИВОСТЕЙ ІНТЕЛЕКТУАЛЬНОГО КАПІТАЛУ УКРАЇНИ

The research is dedicated to the analysis and evaluation of the transformation of intellectual capital (IC) properties in the pre-war period of the country. The study enhances and categorizes contemporary indicators for assessing intellectual capital properties, classifies indicators based on their qualitative impact on the level of intellectual capital, normalizes indicators for constructing radar charts, and determines the level of intellectual capital in Ukraine. The research identifies the impact level of the dynamics of intellectual capital properties on the country's GDP changes. Methodology: To achieve the set goal, the study employs the dialectical method, analysis, and synthesis (investigation of human, organizational, and structural (client) capitals and changes in their properties), graphical method (for illustrating research results); system-structural and expert analysis (to determine the impacts of changes in intellectual capital properties on GDP). Scientific novelty lies in determining the influence of transformations in intellectual capital properties on GDP changes to define a strategy for optimizing the country's intellectual capital structure. Practical significance involves recommending indicators for assessing IC properties for further development of incentive measures using digital technologies and artificial intelligence to enhance the structure of intellectual capital, providing grounds for developing a strategy for IC optimization in the country. Keywords: intellectual capital, digitization, structural capital, consumer capital, human capital, assessment, transformations, properties.

Assessing climate/air quality synergies and cost-effectiveness for Beijing transportation: Insights into sustainable development

CO2 emission reduction policies can simultaneously reduce air pollutant emissions in the transport sector, but the extent of their cost-effective is under-evaluated. To explore sustainable transportation in a mega-city, the potential synergies and cost-effectiveness of CO2 and air pollutant emission reductions in Beijing transportation are quantitatively evaluated by radar chart analysis, total cost of ownership (TCO) and marginal abatement cost curves (MACC) under various mitigation measures. The findings show that the adoption of electric light-duty vehicles can achieve a significant synergistic effect and cost-effectiveness of emission reductions, and would be implemented as a high priority. Moreover, improving emission standards and fuel economy have an obvious cost-effectiveness and effective mitigation for air pollutants, but with poor synergies due to low CO2 mitigation. In contrast, the clean energy for large and heavy vehicles, and bio-fuel for aviation are essential measures for achieving carbon neutrality, but with high costs. Furthermore, changes of transport modes have good cost-effectiveness, but there are no synergies due to the emission increments of PM2.5 and NOx. Given that transportation plays a crucial role in achieving carbon neutrality and enhancing air quality, more stringent and effective environmental policies targeting emission reduction can expedite the sustainable transition in Beijing transportation.

Research on quantitative evaluation of revise requirements of Specifications of Air Sampling for Hazardous Substances Monitoring in the Workplace (GBZ 159-2004)

Objective: To conduct quantitative evaluation on the revise requirements of Specifications of Air Sampling for Hazardous Substances Monitoring in the Workplace (GBZ 159-2004) , clarify the problems and suggestions during its implementation for improvement, and provide a basis for the revision of the standard. Methods: From April to September 2021, stratified convenient sampling method was adopted and semi-open questionnaire was used to investigate the occupational health personnel in CDC, occupational prevention and control institutes, employers, third-party technical service institutions and universitie. The entropy weight of each index and the score based on entropy weight of GBZ 159 were calculated. Spearman rank correlation analysis was used to describe the correlation between the two indexes and radar chart was drawn for comprehensive evaluation. Results: A total of 151 questionnaires were received from the respondents, of which 147 were valid, with an effective recovery rate of 97.35%, involving 29 provinces, autonomous regions and municipalities. The median G scores of the necessity and urgency of GBZ 159 revision based on entropy weight were 2.84 and 3.17, respectively, and the difference was statistically significant (M=-25.50, P<0.001) . The trend of the score G of necessity and urgency based on entropy weight was basically the same for all secondary items (r(s)=0.9998, P<0.001) , and the score G of urgency based on entropy weight was higher than that of necessity. The highest score G of necessity and urgency based on entropy weight was "3.13 long time sampling", which were 7.56 and 8.23 respectively. This was followed by "3.12 short time sampling", which were 7.19 and 7.13 respectively. Conclusion: GBZ 159 has encountered some new problems and challenges in the implementation process, and some of its technical indicators have been out of line with the actual practice of occupational health at present. These are the two items that urgently needs to be revised and improved, such as "3.13 long time sampling" and "3.12 short time sampling" and other items need to be revised and improved.