Miracle-dz/UniFAR-FTUs huggingface dataset:
The Use of UAV in Cadastral Mapping of the Czech Republic

The main challenge in the renewal and updating of the Cadastre of Real Estate of the Czech Republic is to achieve maximum efficiency but to retain the required accuracy of all points in the register. The paper discusses the possibility of using UAV photogrammetry and laser scanning for cadastral mapping in the Czech Republic. Point clouds from images and laser scans together with orthoimages were derived over twelve test areas. Control and check points were measured using geodetic methods (RTK-GNSS and total stations). The accuracy of the detailed survey based on UAV technologies was checked on hundreds of points, mainly building corners and fence foundations. The results show that the required accuracy of 0.14 m was achieved on more than 80% and 98% of points in the case of the image point clouds and orthoimages and the case of the LiDAR point cloud, respectively. Nevertheless, the methods lack completeness of the performed survey that must be supplied by geodetic measurements. The paper also provides a comparison of the costs connected to traditional and UAV-based cadastral mapping, and it addresses the necessary changes in the organisational and technological processes in order to utilise the UAV based technologies.
The Comparison of Regeneration
from Root Node Explants in Solanaceae

Tissue culture techniques in tomato, pepper and eggplant are important for the development of disease-resistant and high yielding varieties, which require a suitable regeneration protocol. Although shoot regeneration has been achieved by using different explants and cytokinin doses in Solanaceae species, very few studies have reported in vitro regeneration using root tissues. The current study is the first report to compare direct shoot regeneration capabilities using root node explants in three Solanaceae species (tomato, pepper, and eggplant) under three cytokinins (BAP, TDZ, and GA3) hormone. Plantlets were regenerated from the root node explants of tomato, pepper and eggplant in the media containing 0, 0.5, 1, 1.5 and 2mg/L of BAP, TDZ and GA3. Results revealed that the shoot regeneration of root node explants varied according to the species, cytokinins (BAP, TDZ and GA3) and doses of hormones. Among the species, the best shoot regeneration was observed in tomato followed by eggplant and pepper plants. While the shoot length was statistically significant in tomato, it was observed to be insignificant in pepper and eggplant. The highest number of root regeneration and root length was observed in tomatoes. The results obtained from the study will contribute to the development of successful/reproducible tissue culture protocols from roots node explants.
Humanitarian diplomacy in ASEAN

Progress on regional cooperation in Southeast Asia is often punctuated by decades rather than years. The exposure of the wider Asia-Pacific to natural hazards renders it the world’s most disaster prone. Since the Indian Ocean earthquake and tsunami in 2004, there have been three significant broad trends that have shaped humanitarian diplomacy, namely ASEAN as a platform for engagement, sectoral approaches and a diversifying multi-stakeholder environment creating a multi-level regionalism in Southeast Asia. States and societies in Southeast Asia have demonstrated a commitment to building humanitarian capacity which is often termed ‘nationally led, regionally supported and international as necessary’ so that they can lead response to natural hazards. The experience of natural hazards offers an important reference for humanitarian work in other areas, notably health emergencies and conflict settings. However, the localization of the global humanitarian system beyond the regional and national levels to local communities remains far from certain, and progress made in this arena may yet come undone without sustained and substantive political commitment from ASEAN member states.
Silylations with Bis(trimethylsilyl)acetamide, a Highly Reactive Silyl Donor

Silyl-proton exchange reactions with bis(trimethylsilyl)acetamide proceed rapidly and quantitatively under mild conditions. The preparative silylation of amides, ureas, and amino acids, as well as hindered phenols, carboxylic acids, and enols, is described. Examples of silylation as a protective measure and a means of preparing reactive intermediates are included.
Soil carbon balance after the temporal cessation of cultivation under cool and subtropical humid climate in Japan

The decreasing number of farm households in Japan is beginning to affect soil carbon and nitrogen balance. At both cool and warm sites, the soil C level was the lowest in the second year of the experiment, and thereafter, it gradually increased. The change in soil C concentration was negative at the warmer site; however, the content reached 119 g C m−2 at the cooler site. Soil N showed a significant increase of 14.3 g N m−2 from the first year to over 4 years at the cooler site. At the cooler site, less soil decomposition contributed to the retention of soil C and N, and the dominant deciduous woody plants increased the supplemental C and N content. Land‐use management strategies involving conventional cultivation, abandonment and abandonment to recultivation did not affect the soil C and N balance for over 6 years. Fallow tillage to recultivation was less effective in retaining the C pool in the fifth year of the experiment, causing significantly lower soil C content (1.97 kg C m−2) than abandonment to recultivation (2.20 kg C m−2). Whereas the soil C content increased in the subsequent year (i.e. the sixth year), less productivity of recultivation crop (white mustard) contributed to a significant decrease in soil C, and abundant residue of winter wheat could recover the soil C and N in the subsequent year. The results suggest that agricultural abandonment can preserve soil C in cool regions and that the introduction of winter crops can maintain the C pool.
Source Apportionment of Individual Airbone Particle in Underground Center by Using Electron Probe Microanalyzer.

都市人工空間には,多様な起源の浮遊粒子状物質が存在し,その空間に起源を有する粒子の他,外部大気から取り込まれる粒子も少なくないと考えられる。 発生源の特定は,環境衛生上重要な課題であるが,従来の起源解析手法では困難である。 本研究では,典型的都市人工空間である地下街の粒子状物質を対象とし,発生起源の推定を行った。 具体的には, 1992 年 2 月九州地区の地下街,階下の地下駐車場,それらの換気口付近の外部路上の 3 地点において,それぞれ三つの時間帯にパーソナルエアサンプラーにより捕集した. 重量濃度は,ビエゾバランス粉じん計により計測した。 電子線マイクロアナライザーを用いて粒子ごとに X 線スペクトルを測定し,個々の粒子の組成に基づきクラスター解析を行い,各試料ごとに起源推定を行った。 起源解析結果より,地下街や地下駐車場の浮遊粒子状物質には,外部大気に由来する粒子と,各人工空間に固有の起源を有する粒子のいずれもが含まれることがわかった。 また,人工空間内の粒子状物質組成に対する強制換気などによる外部からの影響が大きいことが明らかとなった。 さらに,人工空間の構造や,換気システムの設計ならびに運転方法が人工空間内の汚染を制御する上で重要な役割を担うことがわかった。
When do women receive managerial support? The effects of gender congruence and the manager-employee relationship

ABSTRACT This article examines the impact of manager-employee gender similarity on supportive leadership behaviours by public managers. Following prior research, we hypothesize that women with female managers are likely to report more leadership support than women with male managers and that this relationship will be moderated by the quality of the manager-employee relationship. Analysing multi-source survey data collected from a state agency, we find support for the gender-similarity effect. We also find a positive relationship between manager-employee relationship quality and supportive leadership behaviour. However, we do not find any support for the hypothesized moderation effect of the manager-employee relationship quality.
Depression Intensity Estimation via Social Media: A Deep Learning Approach

Depression has become a big problem in our society today. It is also a major reason for suicide, especially among teenagers. In the current outbreak of coronavirus disease (COVID-19), the affected countries have recommended social distancing and lockdown measures. Resulting in interpersonal isolation, these measures have raised serious concerns for mental health and depression. Generally, clinical psychologists diagnose depressed people via face-to-face interviews following the clinical depression criteria. However, often patients tend to not consult doctors in their early stages of depression. Nowadays, people are increasingly using social media to express their moods. In this article, we aim to predict depressed users as well as estimate their depression intensity via leveraging social media (Twitter) data, in order to aid in raising an alarm. We model this problem as a supervised learning task. We start with weakly labeling the Twitter data in a self-supervised manner. A rich set of features, including emotional, topical, behavioral, user level, and depression-related $n$ -gram features, are extracted to represent each user. Using these features, we train a small long short-term memory (LSTM) network using Swish as an activation function, to predict the depression intensities. We perform extensive experiments to demonstrate the efficacy of our method. We outperform the baseline models for depression intensity estimation by achieving the lowest mean squared error of 1.42 and also outperform the existing state-of-the-art binary classification method by more than 2% of accuracy. We found that the depressed users frequently use negative words such as stress and sad, mostly post during late nights, highly use personal pronouns and sometimes also share personal events.
Corporate Social Responsibility and Customer Loyalty: Exploring the Role of Satisfaction and Corporate Image in the Banking Industry

This study aims to determine the impact of corporate social responsibility on customerloyalty and satisfaction with the mediating effect of customer satisfaction and the moderatingeffect of corporate image in Pakistan’s banking sector. The study collected 302 responsesfrom the target population. We used a self-administered questionnaire for collecting thedata of banking customers in Pakistan by employing the convenience sampling technique.The study has used the PLS-SEM technique for statistical analysis. The results reveal thatcorporate social responsibility positively influences customer satisfaction. The results alsosuggest that CSR positively affects customer satisfaction. At the same time, CSR has aninsignificant association with customer loyalty. We also found that CS stimulates customerloyalty, and corporate image promotes CL. The results suggest that customer satisfactionmediates CSR and CL. We also found that corporate image does not moderate customerloyalty. Given the importance of CSR, we suggest that banks should allocate considerableresources for CSR activities. CSR is necessary for firms’ growth and sustainability. It also,directly and indirectly, affects the brand image, loyalty, and customer satisfaction. Due to strict regulations, banks have difficulty creating product differentiation; therefore, they relyon strategies such as CSR.
Evaluating Public Deliberation: Including the Audience Perspective

I argue that in evaluating public deliberation, the basic criterion should be how deliberating citizens’ need for usable input is met, rather than how the debaters embody Habermasian consensus-oriented ideals, and I question assessment of “deliberative quality” on that basis, such as the “Discourse Quality Index. ” Studies of public deliberation should instead build on an Aristotelian notion of deliberation, on Rawls’s idea of “reasonable disagreement” and on the deliberating audience’s needs. To explore these, we need real-time studies of audience reception of public deliberation. I place the studies I call for in a typology of studies, present a study with novel methodological features and discuss its implications for criteria for public deliberation.
The electrical double-layer properties of the mica (muscovite)-aqueous electrolyte interface

Electrophoresis and streaming potential data are reported for crushed and sheet muscovite mica respectively. For streaming potential measurements a newly designed radial flow apparatus was used. Measurements on crushed mica show that both aluminium and silicon leach out of the mica. Leached aluminium and silicon may readsorb to confer increased positive and negative charge respectively on the mica. Electrophoresis data indicate that leaching of aluminium occurs more rapidly than of silicon. Aging experiments on sheet mica show leaching effects to be much slower than on crushed mica. Streaming potential measurements on freshly cleaved mica sheets showed that (i) the zeta- potential depended strongly on electrolyte (KCl) concentration; (ii) the zeta-potential was relatively independent of pH and (iii) monovalent cations were adsorbed in the sequence H+ > Cs+ > K+ > Na+ > Li+, whilst Ca2+ adsorbed more strongly than K+. It is proposed that the structure of the electrical double layer at the mica/electrolyte interface results from the distribution of all ions between the diffuse layer, the Stern plane (hydrated) and more critically the lattice holes of the silica-alumina basal plane.
Investigating Airbnb evolution in an urban tourism context: the application of mathematical modelling and spatial analysis

ABSTRACT Short-term rentals (STRs) are affecting many tourist cities, and the growth of this phenomenon has been frequently illustrated so far through the number of listings progressively registered on platforms such as Airbnb. However, analysing additional variables (e.g. number of new listings opened/closed), as well as performing mathematical modelling and spatial analyses, could help better interpret the evolution of this reality and shed some light on the hospitality dynamics enabled by digital platforms. Taking the Italian city of Turin as an example, in this article we firstly describe the local STRs trends by the means of a linear regressive statistical model, highlighting that – after a speedy growth in 2014–2016 – the number of STRs has started to experience a stabilization phase. Then, through the analysis of geo-referenced data and the application of Exploratory Spatial Data Analysis techniques, we stress that – as in other European cities – also in Turin STRs have particularly interested the areas located in the proximity of the city centre. Finally, we advance that, in order to inform local policies and decision-making, future studies should include forecasting and the investigation of a larger variety of variables (e.g. real estate stock, Airbnb nightly rates, long-term rental patterns, etc.).
Exploring beneath the surface using interactive data transects

ABSTRACT Maps depicting different types of standardized data densities, general ratios/rates, and proportions/percentages are displayed as planimetric projections of continuous or discrete surfaces. However, these standardized data often have sub-layers that are used in compiling a final surface being mapped such as sub-layers stacked on top of one another, or sub-layers used to compute rates and percentages. In this study, we propose an interactive transect tool that allows the user to explore beneath the final surface to describe the patterns of these sub-layers. The tool was developed as a Python add-in for ArcGIS. This package provides two different representations of the cross-sections, a stacked profile tool and a line graph tool, for users to choose based on the type of surface and the purpose of the exploratory analysis. The illustrated applications of the transect tool include exploring the constituent layers of density surfaces, comparing different probability density surfaces, resolving the visual equalization issue for ratio surfaces, and interpreting the spatial patterns of areal classes. An empirical test finds that the transect tool is somewhat more time-efficient than when making visual comparison of values and more accurate in detecting the rank orderings of these values. Overall, it has potential as a visualization tool for multivariate spatial exploratory analysis.
Numerical Evaluation of a HVAC System Based on a High-Performance Heat Transfer Fluid

Nanofluids have great potential to improve the heat transfer properties of liquids, as demonstrated by recent studies. This paper presents a novel idea of utilizing nanofluid. It analyzes the performance of a HVAC (Heating Ventilation Air Conditioning) system using a high-performance heat transfer fluid (water-glycol nanofluid with nanoparticles of Al2O3), in the university campus of Lecce, Italy. The work describes the dynamic model of the building and its heating and cooling system, realized through the simulation software TRNSYS 17. The use of heat transfer fluid inseminated by nanoparticles in a real HVAC system is an innovative application that is difficult to find in the scientific literature so far. This work focuses on comparing the efficiency of the system working with a traditional water-glycol mixture with the same system that uses Al2O3-nanofluid. The results obtained by means of the dynamic simulations have confirmed what theoretically assumed, indicating the working conditions of the HVAC system that lead to lower operating costs and higher COP and EER, guaranteeing the optimal conditions of thermo-hygrometric comfort inside the building. Finally, the results showed that the use of a nanofluid based on water-glycol mixture and alumina increases the efficiency about 10% and at the same time reduces the electrical energy consumption of the HVAC system.
Service Life Prediction and Lateral Bearing Capacity Analysis of Piles Considering Coupled Corrosion-Temperature Deterioration Processes

High temperatures can enhance the chloride diffusion coefficient and this poses a threat to reinforced concrete (RC) piles. This study intends to propose predictive models that can evaluate the service life and lateral bearing behaviour of reinforced concrete piles subjected to marine environments and varying temperatures. The models show that temperature can accelerate the diffusion rate of chloride and increase the concentration of free chloride in concrete. The distribution law of chloride concentration is obtained by considering the ageing effect as well. Deterministic and probabilistic models are proposed to assess the time to corrosion initiation and propagation. The stiffness degradation coefficient is introduced in the analysis of the lateral bearing capacity of RC piles. The results show that high temperature can decrease the service life of piles and the life spans obtained from deterministic and probabilistic methods are similar; however, the predictions of the latter are more conservative. Temperature can enhance the current density and boost corrosion products, which leads to pile cracking. The rust appearing on the steel surface would make the stiffness degradation coefficient drop sharply. The lateral bearing capacity analysis is conducted from the perspectives of shear force, displacement and bearing moment of the piles.
Equilibrium reinsurance strategies for n insurers under a unified competition and cooperation framework

We propose a unified competition and cooperation framework for n insurers and investigate the resulting reinsurance game problem. Each insurer's surplus is assumed to be a diffusion process. Each insurer can purchase the proportional reinsurance to reduce his claim risk, and the reinsurance premium is determined via the variance value principle. The objective of each insurer is to find a reinsurance strategy so as to maximize the expected utility of his terminal payoff. We establish a Hamilton–Jacobi–Bellman (HJB) equation and the corresponding verification theorem. Furthermore, we derive the explicit solutions for both the equilibrium reinsurance strategy and the value function by solving the HJB equation. Finally, numerical experiments are carried out to illustrate the influences of model parameters such as the size of a group, the number of groups on the equilibrium reinsurance strategy. The numerical results reveal some similarities and differences between the competition case and the cooperation case, and the detailed effects of different competition and cooperation patterns, which provide useful insights for reinsurance in reality.
Global Action on SDGs: Policy Review and Outlook in a Post-Pandemic Era

The 2030 Agenda for Sustainable Development provided brand new goals and action targets for human well-being and development, but the COVID-19 pandemic has cast a shadow on the implementation of the Sustainable Development Goals (SDGs). It is therefore essential to provide a reference for making policy adjustments and transformations to promote the realization of SDGs in the post-pandemic era. Based on a literature review of the progress and policies of SDGs across countries worldwide, we find that research on sustainable policies has rapidly increased since the SDGs issued in 2015 with particular focuses on eco-environment, sustainable policies, green economy, sanitation and health, and water sanitation. Most countries are in the process of nationalization, institutionalization, and universalization of the SDGs through incorporating the SDGs into national development frameworks, enabling extensive participation and negotiation mechanisms, and promoting the SDGs’ national publicity. Countries of different economic and institutional backgrounds demonstrate divergent development pathways, priorities, measures, and progress in the implementation of SDGs. Despite significant global progress during the last five years, the North–South divide emerges in the policy action and achievement of SDGs. The least developed countries in sub-Sahara Africa and South Asia appear to be difficult or even unable to implement the SDGs and monitor the progress. In the post-pandemic era, particular attention shall be given to integrating SDGs and achieve synergy among goals, concretizing short-and medium-term priorities toward the SDGs targets for all countries, strengthening multilateralism and global cooperation among countries and continents, providing reliable data and approaches for real-time impact assessment and process monitoring, and promoting an inclusive engagement and integrative implementation with multiple stakeholders and consortiums.
Influence of the study abroad bilingual experience on cognitive control among young adults

Aims and objectives/purpose/research questions: This study investigated whether the studying abroad bilingual experience among unevenly balanced Chinese–English bilinguals exerted influence on cognitive control. Design/methodology/approach: We compared cognitive control differences between a group of Chinese–English bilinguals (n = 30) studying abroad in the USA and a control bilingual group (n = 30) studying at home in mainland China by administering the Flanker task and the Wisconsin Card Sorting Test (WCST). The two groups were matched on demographic variables including age, socioeconomic status (SES), intelligence, etc. Data and analysis: A mixed ANOVA was applied to the Flanker task data, with the task condition as the within-subject variable and the participant group as the between-subject variable. Independent t-test analyses were used to compare performance differences between groups on the WCST. Findings/conclusions: The two groups performed similarly on the Flanker task, whereas the group studying abroad fared better on the WCST, indicating better mental set shifting. Originality: This is the first study to show that the experience of studying abroad brings about cognitive control advantage in mental set shifting. Significance/implications: The current research provides the first evidence that the experience of studying abroad is related to the enhancement of cognitive control, which has implications for both cognitive development and international education.