Miracle-dz/UniFAR-FTUs huggingface dataset:
Making Participatory Policy in Building Tourist Village Governance in Klungkung Regency, Bali, Indonesia

This research was conducted with the aim of knowing: (1) Characteristics of resources as a core attraction for the development of marine ecotourism that is unique to a specific location in Bali along with the pattern or practice of its implementation, (2) The suitability of ecotourism principles with Balinese local wisdom, and (3) Attributes of the ecotourism principle which are strengths and weaknesses in the implementation of local Balinese marine ecotourism . This research was designed with mixed methods. Sources of data are diving ecotourism destinations, traditional village administrators, and diving communities in diving ecotourism destinations which were collected by survey method. Attributes that become strengths in the implementation of ecotourism with local Balinese wisdom that need to be maintained and improved performance are: 1) Respect for good local culture and wisdom, (2) Application of Standard Operating Procedures to minimize negative impacts on biodiversity and the environment, (3) Responsibility moral, ethical and behavioral responsibility towards the natural and cultural environment, and (4) Respect, courtesy, and friendliness to tourists. While the attributes that are weaknesses and need to be prioritized for improving their performance are: (1) Building awareness about the preservation of culture and local wisdom, (2) Use and operation of tourism facilities that have a low impact on the natural environment, (3) Minimization of social impacts, behavior and psychology in the community, (4) Partnership and involvement of local community participation, (5) Use of local products, (6) Guidance on ecotourism as a diversification of the local economy, (7) Use of local labor, and (8) Capacity building and skills of local communities.In order to realize competitive marine ecotourism, local Balinese wisdom, and sustainability.
Internet of Things (IoT)-Based System for Smart Home Heating and Cooling Control

Currently 40% of all energy consumption comes from building services such as heating, ventilation and air cooling conditioning (HVAC) systems. To help reduce current energy consumption levels in this sector, many different tools are being investigated. One such tool is to use the Internet of Things (IoT) to target reducing wasted energy while heating and cooling buildings. This study examined an IoT-based system to control heating and cooling within the context of a Canadian residential housing. The building being simulated is one of the Canadian Centre for Housing Technology's house tested under the fall season. The simulation showed that the house could be kept in the desired comfort zone regardless of the outdoor environment. As well, the developed IoT system implemented in the simulation was able to accurately identify whether it should be heated or cooled, while not using both systems at the same time so that energy is not wasted. Some data processing was also done to estimate the energy consumption by each device and confirmed that the cooling and heating energy consumption rates were consistent with commercially available units. Overall, the simulation showed that utilising IoT was a viable method for controlling the temperature and energy consumption of a house, while future real world testing is required to measure energy savings by using this approach for monitoring and controlling heating and cooling systems.
The Temporal-Spatial Evolution and Driving
Mechanism of Rural Green Development
in China

Green development is the inherent requirement and important support of comprehensive rural revitalization in China. This study constructs a rural green development index system drawing on the framework of “green growth–green wealth–green welfare” and elaborates the temporal-spatial evolution and driving mechanism of rural green development in 30 provinces in China based on the entropy method, spatial autocorrelation analysis and Geodetector. The results indicate that the rural green development index (RGDI) showed an upward trend from 2004 to 2019, with an average annual growth rate of 7%. Nevertheless, the overall level of rural green development is relatively low. The RGDI presented the spatial differentiation characteristic of high in the eastern region and low in the central and western regions. In particular, the urbanization level, economic scale, industrial structure, and public facility investment are the primary factors driving rural green development. The research proposes relevant policy recommendations from the perspectives of four major regions to improve the rural green development level in China, including green agricultural production, ecological protection, public services and infrastructure investment, and industrial integration.
Health and Lifestyle of Patients with Mesothelioma: Protocol for the Help-Meso Study

Patients with mesothelioma (PwM) have a poor prognosis and are at risk of adverse health outcomes and poor health-related quality of life. Sarcopenia and malnutrition are important prognostic factors for cancer patients and can be partially reversed with adequate nutrition and physical activity/exercise. There is a limited evidence base about the nutritional status of PwM, the understanding of which might potentially influence interventions in PwM. The primary aim of the Help-Meso (Health and Lifestyle of PwM) study is to describe the nutrition, appetite, physical activity and attitude towards lifestyle interventions of PwM. Patients, informal carers and health professionals will be invited to participate in semi-structured interviews and thematic analysis will be performed. The secondary aim of Help-Meso is to assess the feasibility of nutritional screening of PwM via a validated quantitative tool (Malnutrition Universal Screening Tool). The findings from this study will provide an understanding of the health and lifestyle of PwM and the corresponding attitudes of their informal carers and healthcare providers. This information will inform the design of future targeted interventions to improve the nutrition, quality of life of PwM and outcomes. The study has Research Ethics Committee (REC) and Health Research Authority approvals obtained from Wales REC7 (Integrated Research Application System (IRAS) project ID 287193).
The Evolution of the Extent and the Investment Requirements of a Trans-European CO2 Transport Network

The large-scale deployment of carbon capture and storage (CCS) in Europe will require the development of new infrastructure to transport – using pipelines and ships – the captured CO2 from its sources (e.g. power plants) to the appropriate CO2 storage sites. This report describes the potential evolution of the CO2 transport network on the European scale for the period 2015-2050, in terms of physical size and capital cost requirements. These estimates have been made based on an innovative and sound methodology. The results however depend strongly on the assumptions that have been made, especially in view of the long-term horizon of the analysis, the uncertainty of CCS deployment rates and timelines, the lack of robust data on CO2 storage sites and the variability of pipeline construction costs. The size of the network grows steadily until 2030, to 8800 km, requiring around 9 billion euros of cumulative investment; followed by a step-change towards 2050, leading to a total investment of around 29 billion euros. This is based on a relatively conservative scenario of CCS deployment, as the amount of CO2 captured in 2050 does not meet the ambition for the decarbonisation of the European society by 2050. Scenarios compatible with the European vision for a decarbonised society by 2050, which will necessitate the capture of almost all CO2 emissions from both the power and the industrial sectors, would obviously be associated with a more extensive and hence more expensive CO2 transport network. By 2030, 16 EU Member States may be involved in crossborder CO2 transport. International coordination is therefore crucial for the development of an optimised transEuropean CO2 transport network. How to obtain EU publications Our priced publications are available from EU Bookshop (http://bookshop.europa.eu), where you can place an order with the sales agent of your choice. The Publications Office has a worldwide network of sales agents. You can obtain their contact details by sending a fax to (352) 29 29-42758. The mission of the JRC is to provide customer-driven scientific and technical support for the conception, development, implementation and monitoring of EU policies. As a service of the European Commission, the JRC functions as a reference centre of science and technology for the Union. Close to the policy-making process, it serves the common interest of the Member States, while being independent of special interests, whether private or national. L D -N A -2 4 5 6 5 -E N -N
Vision-Based Dynamic Displacement Measurement of Isolation Bearing

The existing computer vision-based structural displacement measurement method can only obtain structural displacement when the camera is fixed or the pose of the camera is known at all times. However, the aforementioned conditions cannot be met when an earthquake occurs. Therefore, this study presents a method to achieve a dynamic displacement measure of an isolated bearing from a video without the known camera motion: two cameras are set up along the horizontal orthogonal direction, and circular targets are set at the upper and lower connecting plates of the isolation bearing. A combination of HSV color space, Canny edge detection, and Hough transform circle detection is used to obtain the dynamic displacement of the isolation bearing. This task is done by measuring the relative displacement between the upper and lower target points. A basic mechanical performance test of LRB500 isolation bearing is used to verify the proposed method. The result shows that the horizontal displacement time history of the isolation bearing obtained by this method is almost the same as the result obtained by the displacement meter whether the camera is moving or fixed. However, compared with the results measured by the displacement meter, the absolute error of the peak horizontal and vertical displacements are both less than 1 mm, which indicates that the proposed method can be used in displacement monitoring under long-term load and earthquake action of isolation bearing.
AMS-Net: Adaptive Multi-Scale Network for Image Compressive Sensing

Recently, deep convolutional neural networks have been applied to image compressive sensing (CS) to improve reconstruction quality while reducing computation cost. Existing deep learning-based CS methods can be divided into two classes: sampling image at single scale and sampling image across multiple scales. However, these existing methods treat the image low-frequency and high-frequency components equally, which is an obstruction to get a high reconstruction quality. This paper proposes an adaptive multi-scale image CS network in wavelet domain called AMS-Net, which fully exploits the different importance of image low-frequency and high-frequency components. First, the discrete wavelet transform is used to decompose an image into four sub-bands, namely the low-low (LL), low-high (LH), high-low (HL), and high-high (HH) sub-bands. Considering that the LL sub-band is more important to the final reconstruction quality, the AMS-Net allocates it a larger sampling ratio, while allocating the other three sub-bands a smaller one. Since different blocks in each sub-band have different sparsity, the sampling ratio is further allocated block-by-block within the four sub-bands. Then a dual-channel scalable sampling model is developed to adaptively sample the LL and the other three sub-bands at arbitrary sampling ratios. Finally, by unfolding the iterative reconstruction process of the traditional multi-scale block CS algorithm, we construct a multi-stage reconstruction model to utilize multi-scale features for further improving the reconstruction quality. Experimental results demonstrate that the proposed model outperforms both the traditional and state-of-the-art deep learning-based methods.
Field data to investigate the impact of initial air-voids on the performance of bituminous pavements – a case study

The aim of this study was to examine the relationship between initial compaction and pavement performance of a road with low-volume traffic. Data was collected from Telangana State in India. Binder was extracted from the field core samples after measuring the volumetric properties. The binder rheology was then compared with laboratory-aged VG30 bitumen. Higher air-voids in the newly constructed bituminous surface have caused binder ageing and raveling. Flaky, water-absorptive trap-aggregate worsened the problem. The fine aggregate and bitumen were stuck to the rubber-coated steel wheel in the Hamburg wheel tracking study indicating raveling. Binder reduction due to raveling was shown by slicing 30 mm field cores into two sub-layers; the bitumen content was reduced in the top slice (5.3% to 4.3%) and not in the bottom. For roads with low-volume traffic, a target density of 94% Gmm is recommended instead of the usual 92% to minimize binder ageing and raveling.
Do Acquisitions Enrich Corporate Knowledge and Organizational Capital?

We examine the impact of frequent acquisitions on the firm's knowledge capital and organizational capital. We find that frequent acquirers are more likely to have greater knowledge and organizational capital. Firms with higher knowledge capital are also likely to pursue more acquisitions, contrary to the current notion that firms deficient in R&D are more likely to pursue acquisitions. Our results suggest firms enhance exploration and exploitation capabilities through active acquisition programs. The greater a firm's absorptive capacity, the stronger the positive effects of the acquisition frequency on the knowledge capital and organizational capital. Our results suggest that frequent acquisitions decrease a firm's inertia, broaden its knowledge base, and enhance its core capabilities. We find that in-house R&D and externally acquired R&D via acquisitions are complements, not substitutes, contrary to the existing findings. Our results further suggest that firms with higher absorptive capacity (knowledge capital) are more likely to engage in frequent acquisitions.
Secure Trajectory Publication in Untrusted Environments: A Federated Analytics Approach

The increasing awareness of privacy and the adoption of data regulations challenge the traditional trajectory publication framework in which a trusted server has access to the raw data from mobile clients. In the new untrusted environment, the clients call for much stronger data privacy preservation locally without sharing their raw data. Based on the emerging paradigm of federated analytics, we propose a Federated Analytics-based Secure Trajectory PUBlication (FASTPub) mechanism to operate in such untrusted environments. Compared with existing local differential privacy (LDP) methods, FASTPub guarantees LDP and loss-bounded <inline-formula><tex-math notation="LaTeX">$k$</tex-math><alternatives><mml:math><mml:mi>k</mml:mi></mml:math><inline-graphic xlink:href="wang-ieq1-3198550.gif"/></alternatives></inline-formula>-anonymity simultaneously with greatly improved data utility. Specifically, FASTPub works interactively between the server and clients and iteratively builds up the trajectory without exposing raw data. Sampled clients only respond to selected trajectory fragments with randomized answers to preserve privacy as much as possible. The server then intelligently aggregates these randomized responses leveraging the intrinsic Apriori property and a Markov independent assumption of trajectory data to guide further iterations. Extensive experiments on synthetic and real-world datasets on two downstream tasks demonstrate that FASTPub gains a remarkably improved data utility compared to the existing state-of-the-art solutions.
Perceptions on Barn Owls and Their Use in Rodent Control: A Case Study of Hwange District

Background and Research Aims: Myths and beliefs shape the relationships that people have with different species. They lead to the protection of revered species and the persecution of negatively viewed species. In some instances, people fear these species resulting in a failure to tap into their benefits. This study investigates the possibility of using Barn Owls, a species largely linked to traditional beliefs, as a biological control for rodent pests. Methods: Data was collected through a questionnaire survey. Chi-square tests were used to assess the links between socio-demographic variables and the people’s attitude towards the use of owls in rodent control. A Generalised Linear Model was used to investigate the influence of the distance of the homestead from a protected area on their perceptions of owls. Results: Although most respondents acknowledged that they had a rodent problem, 41% would not use owls for their control. More females than males did not want to use owls for fear of being labelled as witches, whilst males felt owls were good for rodent control and ecosystem balance. Level of education and age did not influence people’s perceptions. People living closer to a protected area embraced the use of owls in rodent control and village of origin influenced perception of owls. Most teenagers displayed the same attitude towards owls as their mothers. Conclusion: Gender and parental influence play a role in influencing the perceptions of the community on owls. There is need to further investigate the factors within a village which influence perceptions on owls. Implications for Conservation Cultural beliefs should be considered in conservation as the belief in witchcraft transcends age and education. There is need for conservation efforts to focus on improving ecological literacy of target groups to improve the conservation of feared species.
Improper Integrals Involving Powers of Inverse Trigonometric and Hyperbolic Functions

Three classes of improper integrals involving higher powers of arctanh, arctan, and arcsin are examined using the recursive approach. Numerous explicit formulae are established, which evaluate these integrals in terms of π, ln2, the Riemann zeta function, and the Dirichlet beta function.
Evaluation of Next-Generation Sequencing Applied to Cryptosporidium parvum and Cryptosporidium hominis Epidemiological Study

Background. Nowadays, most of the C. parvum and C. hominis epidemiological studies are based on gp60 gene subtyping using the Sanger sequencing (SgS) method. Unfortunately, SgS presents the limitation of being unable to detect mixed infections. Next-Generation Sequencing (NGS) seems to be an interesting solution to overcome SgS limits. Thus, the aim of our study was to (i) evaluate the reliability of NGS as a molecular typing tool for cryptosporidiosis, (ii) investigate the genetic diversity of the parasite and the frequency of mixed infections, (iii) assess NGS usefulness in Cryptosporidium sp. outbreak investigations, and (iv) assess an interpretation threshold of sequencing data. Methods. 108 DNA extracts from positive samples were sequenced by NGS. Among them, two samples were used to validate the reliability of the subtyping obtained by NGS and its capacity to detect DNA mixtures. In parallel, 106 samples from French outbreaks were used to expose NGS to epidemic samples. Results. NGS proved suitable for Cryptosporidium sp. subtyping at the gp60 gene locus, bringing more genetic information compared to SgS, especially by working on many samples simultaneously and detecting more diversity. Conclusions. This study confirms the usefulness of NGS applied to C. hominis and C. parvum epidemiological studies, especially aimed at detecting minority variants.
Recent Developments of Butler Matrix From Components Design Evolution to System Integration for 5G Beamforming Applications: A Survey

Beamforming networks for multiple beam antennas are believed to be in the vanguard of technological developments in mmWave for 5G wireless applications. The basic idea of beamforming technique is the application of multiple antenna elements radiating the same signal at an identical phase and wavelength, into one strong signal pointed to a specific direction. For low cost and power consumption, radio frequency beamforming networks (RF-BFNs) such as Blass matrices, Butler matrices, and Nolen matrices will play a critical role in achieving the ever-increasing demands in wireless technology. Therefore, this study aims to present a comprehensive survey and developments of RF-BFNs with (particular focus in Butler matrices). From the fundamental perspectives of the beamforming techniques and progress over time, component evolution includes branch-line coupler (BLC), Phase shifter (PS), and Crossovers to complete system Butler matrix (BM) integration. Different design techniques to improve bandwidth, size reduction, multi-band, and other performance characteristics are discussed extensively. Furthermore, the paper also discusses different geometry of Butler matrices in open microstrip transmission lines, substrate integrated waveguide (SIW) and gap waveguide (GWG) technologies highlighting key developments and research challenges from single band to dual-band operations. We expect this paper to provide more profound insights into the designs processes and suggest suitable ways to facilitate further developments of RF-beamforming networks at mmWave and sub-mmWave frequency ranges.
Sub-Riemannian Geometry

The tangent space in sub-Riemannian geometry. - x 1. Sub-Riemannian manifolds. - x 2. Accessibility. - x 3. Two examples. - x 4. Privileged coordinates. - x 5. The tangent nilpotent Lie algebra and the algebraic structure of the tangent space. - x 6. Gromov's notion of tangent space. - x 7. Distance estimates and the metric tangent space. - x 8. Why is the tangent space a group? - References. - Carnot-Caratheodory spaces seen from within. - x 0. Basic definitions, examples and problems. - x 1. Horizontal curves and small C-C balls. - x 2. Hypersurfaces in C-C spaces. - x 3. Carnot-Caratheodory geometry of contact manifolds. - x 4. Pfaffian geometry in the internal light. - x 5. Anisotropic connections. - References. - Survey of singular geodesics. - x 1. Introduction. - x 2. The example and its properties. - x 3. Some open questions. - x 4. Note in proof. - References. - A cornucopia of four-dimensional abnormal sub-Riemannian minimizers. - x 1. Introduction. - x 2. Sub-Riemannian manifolds and abnormal extremals. - x 3. Abnormal extremals in dimension 4. - x 4. Optimality. - x 5. An optimality lemma. - x 6. End of the proof. - x 7. Strict abnormality. - x 8. Conclusion. - References. - Stabilization of controllable systems. - x 0. Introduction. - x 1. Local controllability. - x 2. Sufficient conditions for local stabilizability of locally controllable systems by means of stationary feedback laws. - x 3. Necessary conditions for local stabilizability by means of stationary feedback laws. - x 4. Stabilization by means of time-varying feedback laws. - x 5. Return method and controllability. - References.