Social Network Relationships between Biomass Industry Stakeholders in the Agricultural Waste Power Generation Industry—A Case of Northern Jiangsu, China

This study aimed to explore the impact of the interaction between stakeholders in the sustainable development of the biomass industry and to reveal network issues relating to material flow and information flow under the current biomass energy development model. This study focused on the agriculture and forestry waste power generation industry. Taking the biomass industry in Nanjing, Suqian, and Yancheng as examples, the study selected six stakeholder groups involved in the industry and conducted field investigations by using semi-open interviews and questionnaires. The research mainly applied social network analysis methods, combined with UCINET software, to draw a network diagram of the stakeholder relationships and to quantitatively analyze stakeholder centrality and overall network density. The results revealed that (1) the biomass enterprises had the highest centrality in the overall network, which played a vital role in the construction of the overall network; (2) the farmers were positioned at the outer fringes of the industrial social network and their information acquisition capabilities and degree of control over the network were the lowest; and (3) the overall network density was low, which showed that the connections between stakeholders were not close enough to support the circulation of material and information in the overall network.

Developing urban biking typologies: quantifying the complex interactions of bicycle ridership, bicycle network and built environment characteristics

Background: Extensive research has been conducted exploring associations of built environment characteristics and biking. However, these approaches have often lacked the ability to understanding the interactions of built environment, population and bicycle ridership. To overcome these limitations, this study aimed to develop novel urban biking typologies using unsupervised machine learning methods.Methods: We conducted a retrospective analysis of travel surveys, bicycle infrastructure and population and land use characteristics in the Greater Melbourne region, Australia. To develop the urban biking typology, we used a k-medoids clustering method.Results: Analyses revealed 5 clusters. We highlight areas with high bicycle network density and a high proportion of trips made by bike (Cluster 1; reflecting 12% of the population of Greater Melbourne, but 57% of all bike trips) and areas with high off-road and on-road bicycle network length, but a low proportion of trips made by bike (Cluster 4, reflecting 23% of the population of Greater Melbourne and 13% of all bike trips).Conclusion: Our novel approach to developing an urban biking typology enabled the exploration of the interaction of bicycle ridership, bicycle network, population and land use characteristics. Such approaches are important in advancing our understanding of bicycling behaviour, but further research is required to understand the generalisability of these findings to other settings.

Peran Media Sosial Terhadap Kompetensi Mahasiswa Ekowisata Unipa Menunjang Promosi Pariwisata Rajaampat

Penggunaan media sosial sangat mudah, hemat biaya, dan efektif dalam mempromosikan objek wisata khususnya Rajaampat yang sudah terkenal hingga internasional. Peranan civitas akademika terhadap promosi pariwisata Rajaampat menjadi sangat penting dikaji, terlebih setelah masa pandemi covid-19 yang membawa kondisi dunia pariwisata terpuruk. Penelitian ini menggunakan metode kualitatif deskriptif. Populasi sasaran dalam penelitian ini adalah mahasiswa yang berstatus aktif sebagai mahasiswa ekowisata Rajaampat Universitas Papua. Penarikan sampel berdasarkan teknik purposif (purposive sampling) kepada mahasiswa aktif yang memiliki media sosial yang berjumlah 10 mahasiswa. Analisis berdasarkan keempat kategori yang telah ditetapkan yaitu tie strength (kekuatan sebuah hubungan), network density (kepadatan jaringan), network centrality (sentralitas jaringan) dan homophile (kesamaan karakteristik). Cara analisis dengan memilah seluruh isi pesan serta mengkategorikannya ke dalam masing – masing karakteristik struktur jaringan media sosial yang sesuai. Hasil penelitian menyimpulkan bahwa kategori tie srenght (kekuatan hubungan), network density (kepadatan jaringan), network centrality (sentralitas jaringan) serta kesamaan karekteristik (homophile) terjalin dalam keseluruhan akun facebook saat memposting sebuah foto.

Tectonic setting of kimberlites in the Vilyui-Markhinsky fault zone according to modern data

The lateral heterogeneity of the Vilyui-Markha fault zone was determined, the central and western subzones were identified. The high-grade diamondiferous Mir and Nakyn kimberlite fields are confined to the central subzone. The low-grade diamondiferous Syuldyukar kimberlite field is confined to the western subzone of the VilyuiMarkha zone. The analysis of the fault network density in the research area was carried out. It was found that the fault network density increases within the subzones, which characterizes them as increased permeability areas favorable for kimberlite melts uprising. This fact can be another tectonic criterion for setting up diamond prospecting operations.

Emotion network density in burnout

Background Health care workers are often affected by burnout, resulting in reduced personal well-being and professional functioning. Although emotional exhaustion is considered a core component of burnout, little is known about the dynamics of emotions and their relation to burnout. We used network analysis to investigate the correlation between the density of a negative emotion network, a marker for emotional rigidity in person-specific networks, and burnout severity. Methods Using an ecological momentary assessment design, the intensity of negative emotions of forty-three health care workers and medical students was assessed five times per day (between 6 am and 8 pm) for 17 days. Burnout symptoms were assessed at the end of the study period with the Maslach Burnout Inventory. Multilevel vector autoregressive models were computed to calculate network density of subject-specific temporal networks. The one-sided correlation between network density and burnout severity was assessed. The study protocol and analytic plan were registered prior to the data collection. Results We found a medium-sized correlation between the negative emotion network density and burnout severity at the end of the study period r(45) = .32, 95% CI = .09–1.0, p = .014). Conclusions The strength of the temporal interplay of negative emotions is associated with burnout, highlighting the importance of emotions and emotional exhaustion in reaction to occupational-related distress in health care workers. Moreover, our findings align with previous investigations of emotion network density and impaired psychological functioning, demonstrating the utility of conceptualizing the dynamics of emotions as a network.

Planning Structure As A Road Traffic Pollution Differentiation Factor: A Case Study Of Nur-Sultan

The article deals with the problem of spatial differentiation of road transport pollution due to the planning structure changes in the new capital of Kazakhstan. The purpose of the work is to study territorial differences in from vehicles Nur-Sultan from vehicles and to identify the role of embodied planning measures among the main factors of its differentiation. The research methodology included the analysis of 1) the city functions and planning structure transformation as well as the buildings and road network density and concentration; 2) traffic speed and intensity, emissions and their distribution areas for each street.The analysis showed that since 1997, when Nur-Sultan received the capital status, it has grown 3 times in the area, 3.5 times in population, and 6 times in the level of motorization. However, the volume of traffic emissions in the city increased only 2 times, largely due to the development of the planning structure and configuration of the road network. The development of a second center in the new part of the city along with the decrease in the barrier function of the river and transport transit because of the faster construction of transport infrastructure led to an increase in the density of the road network by more than 2 times while reducing the density of emissions in the city center by 2.25 times. For the rest of the territory, despite different growth rates in the road network density, the density of emissions steadily decreases from the center to the periphery. However, several locations with a high level of pollution are still present in the middle part, while on the outskirts of the city there are blocks of estate-type houses with low-quality roads, which hinder the development of public transport.

Precipitation barycenter and relationship to the spatial distribution of station networks on the Huang-Huai-Hai Plain, China

A precipitation barycenter reflects the overall spatial distribution and long-term evolution of regional precipitation. Understanding the changes in precipitation barycenter has significant implications for drought management, flood control, and water resource management. This paper analyzed the distribution and transfer of monthly, interannual, and interdecadal precipitation barycenter on the Huang-Huai-Hai Plain (‘3H’ Plain). We also discussed the influence of the station network spatial distribution on the changes in precipitation barycenter. The results were as follows: (1) The trajectory of the monthly precipitation barycenter on the ‘3H’ Plain was generally ‘8’-shaped. The rainy and dry season precipitation barycenters were located in the upper and lower parts of the ‘8’-shaped, respectively. (2) In the past 60 years, the interannual precipitation barycenter had a trend of moving southwest, but the trend was not apparent. (3) Station network density and uniformity dominated the changes in precipitation barycenter, showing positive correlations. When the station network density was large and exceeded a certain range, the influence of station network density on the changes in precipitation barycenter decreased.