Public Network Research Articles

ЗАПРОВАДЖЕННЯ НАЦІОНАЛЬНОЇ СИСТЕМИ ОБЛІКУ ДОВЖИНИ АВТОМОБІЛЬНИХ ДОРІГ В ОДНОСМУГОВОМУ ОБЧИСЛЕННІ

Introduction. The use of geographical spatial data of the public road network has led to the question of the feasibility of applying existing methods of road length accounting and the need to introduce single-lane road length accounting. Problem statement. The search for alternative ways to account for the length of a road calls for improving the principles of forming road titles, which have certain solutions for accounting for sections with more than one lane in each direction and establishing the lengths of traffic interchanges, additional lanes on ascents, external and internal transitional high-speed lanes, dedicated (channelized) lanes, etc. Objective. To improve the system of accounting for the length of public roads of national importance. Materials and methods. The principles of road titling introduced in [1] have certain solutions for accounting for sections with more than 1 lane in each direction and establishing the lengths of traffic interchanges, which were rational at the time of adoption, but without further improvement may be ineffective and increasingly lead to contradictions. The need to introduce the term "length of a public road in single-lane calculation" is due to the fact that there are fundamental differences between the lengths of roads approved by the Resolution of the Cabinet of Ministers of Ukraine "On Approval of the List of Public Roads of National Importance" of December 15, 2023 No. 1318 [2] and the actual length (area) of lanes subject to repair and maintenance, since the road may have a different number of main lanes along its length, additional lanes on ascents, external and internal transitional high-speed lanes, dedicated (channelized) lanes, and exits may have several lanes in one direction.

The role of grid management in community risk governance: a case study in Yuelu, China

ObjectiveIn this study, we aim to provide a comprehensive analysis of the effectiveness of the risk prevention and control mechanism within the grid management model for community risk prevention. We emphasize the importance of thoroughly examining the risk prevention and control mechanism to enhance risk management efforts in urban communities, particularly in response to unforeseen outbreaks such as COVID-19.MethodsCase studies are widely acknowledged as one of the most effective approaches to examine governance in China. In this study, the “Yuelu Model” serves as an illustrative example to demonstrate the application and effectiveness of grid management in community risk governance. To ensure the validity of the case study, it is imperative to adhere to the principle of representativeness. The collection of case data involves a combination of primary and secondary sources, and supplementary information is obtained through follow-up investigations conducted via WeChat, telephone, and other means, thereby enhancing the comprehensiveness and accuracy of the data.ResultsOur analysis reveals significant findings regarding the impact of the grid management model, fulfilling a triple role as a “Social Safety Valve” in the management process: (1) Community stress reduction function, (2) Community alarm function, and (3) Community integration function. Furthermore, we explore the adaptability of the grid management mechanism in addressing community risks, highlighting its effectiveness and potential for broader application.DiscussionThe findings of this study suggest that: Firstly, it is crucial to establish a shared information repository among different departments on a big data platform. Secondly, a dynamic government public information internal network should be established through collaborative efforts among multiple departments. Thirdly, implementing a regular (or periodic) early warning mechanism is essential. Lastly, the establishment of a high-quality talent team for power grid management is highly recommended. Our research provides valuable insights to enhance community risk governance.

Resilience-based post-disaster repair strategy for integrated public transit networks

The resilience of public transit systems has become a critical issue due to their essential role in urban mobility. However, the challenges of repair selection and sequencing in integrated public transportation networks (IPTN) have not been fully explored. Therefore, we propose a bi-level resilience-based repair strategy optimisation (RRSO) model to investigate the optimisation of resilience in IPTN. To consider trip selection and account for cascade failure processes, a lower-level traffic assignment model was integrated into a single-layer RRSO model. In the traffic assignment model, perceived travel time reflects the traffic impedance of public transportation. Additionally, to assess the performance of the RRSO model under emergency repair conditions, random variables were introduced to represent uncertain factors in the traffic environment. Finally, the results demonstrate that the RRSO model outperforms standard empirical repair strategies. This study provides theoretical insights into the management of urban public transportation.

Attention to STEMI patients in our region: what is the adherence to the quality indicators from a population perspective?

Abstract Funding Acknowledgements None. Introduction The use of quality indicators (QI) proposed by the Association for Acute Cardiovascular Care (ACVC) for processes carried out in cardiology services represents an excellent internal quality control of their operation. Purpose The aim is to assess adherence to the main QI in the care of acute ST-elevation myocardial infarction (STEMI) in our region, according to data from the population-based registry of myocardial infarction in that area. Methods Evaluation of adherence to the main QI proposed by the ESC Association for ACVC, by retrospective analysis (data from in-hospital and out-of-hospital care) of patients with STEMI from our regional Infarction Registry attended between 2017 and 2020, in both tertiary and secondary hospitals of the public and private care network, providing data with a population-based character. Results QI were analysed in 1355 patients categorised as STEMI in our regional Infarction Registry between 2017 and 2020. 71% of patients were male. The number of STEMI per year ranged from 358 in 2019 to 316 in 2020. Primary percutaneous coronary intervention (PCI) was performed in 87% of patients. In 53% the first medical contact occurs in out-of-hospital care, while 25% occur in emergency departments (ED) of PCI capable hospitals and 12% in emergency departments of non-PCI hospitals. Forty-two percent of patients firstly attended out-of-hospital or in non-PCI centres achieve revascularisation in less than 90 minutes, but less than 30% of patients seen in PCI centres achieve revascularisation in less than 60 minutes. Radial access was used in 92% of cases. LVEF was assessed during admission in 98% and LDL-cholesterol was determined in 87%. Ninety-one per cent of patients were discharged on dual antiplatelet therapy, 96% on statins and a large proportion of patients with left ventricular dysfunction received angiotensin-converting enzyme inhibitors (78%) and beta-blockers (88%). Conclusion There is good overall adherence to major QI related to care of patients with STEMI in our region. However, there are indicators that could be optimised, particularly those related to timely primary reperfusion. Networked care thanks to the local Infarction Code means a significant reduction in reperfusion times, avoiding unnecessary referrals to Emergency Departments.

Anomaly Detection in Blockchain Networks Using Unsupervised Learning: A Survey

In decentralized systems, the quest for heightened security and integrity within blockchain networks becomes an issue. This survey investigates anomaly detection techniques in blockchain ecosystems through the lens of unsupervised learning, delving into the intricacies and going through the complex tapestry of abnormal behaviors by examining avant-garde algorithms to discern deviations from normal patterns. By seamlessly blending technological acumen with a discerning gaze, this survey offers a perspective on the symbiotic relationship between unsupervised learning and anomaly detection by reviewing this problem with a categorization of algorithms that are applied to a variety of problems in this field. We propose that the use of unsupervised algorithms in blockchain anomaly detection should be viewed not only as an implementation procedure but also as an integration procedure, where the merits of these algorithms can effectively be combined in ways determined by the problem at hand. In that sense, the main contribution of this paper is a thorough study of the interplay between various unsupervised learning algorithms and how this can be used in facing malicious activities and behaviors within public and private blockchain networks. The result is the definition of three categories, the characteristics of which are recognized in terms of the way the respective integration takes place. When implementing unsupervised learning, the structure of the data plays a pivotal role. Therefore, this paper also provides an in-depth presentation of the data structures commonly used in unsupervised learning-based blockchain anomaly detection. The above analysis is encircled by a presentation of the typical anomalies that have occurred so far along with a description of the general machine learning frameworks developed to deal with them. Finally, the paper spotlights challenges and directions that can serve as a comprehensive compendium for future research efforts.

Construction and Characteristics Analysis of the Xi’an Public Transport Network Considering Single-Mode and Multi-Mode Transferring

The connectivity of the urban public transport network and the convenience of transfers between modes of transit are important factors that affect whether passengers choose public transport. Identifying the key nodes that affect network connectivity, direct access, transfers, and clarifying the main factors that restrict the network efficiency play important roles in improving the efficiency of the public transport network and establishing a “green city”. On this premise, this paper constructs two single-layer networks and a composite network that can reflect the transfer relationship between ‘bus–bus’, ‘metro–metro’, and ‘metro–bus’ based on the method of Space-P. The composite network realizes the integration study of homogeneous and heterogeneous stops, lines, and transfer relationships in the public transport network. At the same time, five kinds of centrality indexes are applied to the transport transfer network, and the significance of these indexes in the network is explained. Through the comprehensive analysis of these five types of indexes, the key nodes affecting the network connectivity, direct access and transfer efficiency, can be identified more accurately. Taking the public transport network of Xi’an as an example, the structural characteristics of the networks, including scale-free and small-world characteristics, were empirically analyzed. The main stops that play important roles in networks were identified based on the integrated centrality, degrees, and weight degrees. The research results showed the following: (1) Xi’an’s metro network, bus network, and metro–bus composite network all have scale-free and small-world characteristics. (2) The influence of the key stops of the metro network is concentrated, while the influence of the key stops of the bus network is scattered. (3) The public transport network in the first ring road area of Xi’an has the highest degree of direct access, and the core areas of the south, west, and north of Xi’an also have high direct access. However, the direct access in the area east of Xi’an is slightly lower. (4) Xi’an’s bus transport network covers a large area, showing the characteristics of a dual-core “central + southern” network. (5) The metro–bus composite network demonstrates a closer connection between stops and a more balanced network. (6) Finally, the degree of direct access to stops in the bus transport network and metro transport network shows the characteristics of “the single core is dominant, and the circle diffusion weakens step by step”.

Review of Optimized Feeder Vehicle Systems in Developing Countries

With the population growth and changes in travel patterns, transportation demand in urban cities continue to increase rapidly. Since it is a cause for higher traffic densities, poor parking facilities, air pollution and road accidents, transport planners have to provide a system, which can ensure safe and comfortable mobility to all users as well as suppliers’ perspectives. Therefore, developing an affordable and efficient public transportation network is a critical goal for developing countries seeking to address urban mobility challenges. Feeder vehicle systems, which provide the first and last mile connectivity to the passengers, offers an opportunity for creating a system capable of meeting multiple needs of users and operators. It is an effective public transportation system that already operates in developed countries. It offers immense potential for improving accessibility and reducing congestion. However, the implementation of effective feeder system in developing countries is fraught with challenges due to uncoordinated transit networks, infrastructure limitations, and budget constraints. This paper presents a critical review of recent planning methodologies and selected decision support systems for optimizing feeder transport services.

Detection of Virtual Private Networks Encrypted Traffic using Machine and Ensemble Learning Algorithms

Abstract: The widespread adoption of Virtual Private Networks (VPNs) for secure communication over public networks has highlighted the need for accurate detection of encrypted network traffic. This study proposes a comprehensive approach utilizing machine and ensemble learning algorithms to address this detection challenge. Leveraging the ISCX VPN dataset, the project aims to develop a robust system capable of distinguishing between VPN and non-VPN traffic with high accuracy. Key stages include data acquisition, preprocessing, feature extraction, and model training using Decision Tree, Naive Bayes, Random Forest, and Adaboost algorithms. Through rigorous experimentation, the most effective algorithmic approach is identified. The project also offers insights into the diverse nature of encrypted network communication and its implications for network security. The anticipated outcomes include improved understanding and management of VPN traffic, enhancing overall network security and performance. This research contributes to advancing network security practices by offering practical solutions for encrypted traffic detection in real-world settings.

Population Health Management: A Bibliometric Analysis of Literature on Data Analytics and Public Health Interventions

Population health management (PHM) has emerged as a pivotal strategy in healthcare, aiming to address the health needs of communities while enhancing care quality and outcomes. Recent years have witnessed a surge in research at the intersection of data analytics and public health interventions within the realm of PHM. This paper presents a comprehensive bibliometric analysis of the literature on data analytics and public health interventions in the context of population health management. Through systematic data collection from reputable scholarly databases and rigorous analysis, this study aims to map out the trends, key contributors, and emerging themes shaping the discourse in this domain. The analysis encompasses publication trends, authorship patterns, citation metrics, and network visualizations to provide insights into the landscape of literature. Notable findings include a high citation rate per paper and author, indicative of scholarly interest and collaboration within the research community. Key themes identified include outcomes, interventions, population health improvement, determinants, and health disparities. Additionally, temporal analysis reveals a shift towards non-communicable diseases and the increasing role of data in patient care. The author collaboration network highlights a core cluster of researchers with extensive collaborative ties, alongside peripheral authors and topics representing specialized or nascent areas. The density visualization map identifies potential areas for future research, including health disparities, women's health issues, and geographic-specific studies.

Diffusion model of multi-agent collaborative behavior in public crisis governance network based on complex network evolutionary game

In order to explore the phenomenon of diffusion of group decision making formed by the emergence of decision-making behaviors of governance agents in public crisis governance systems, this research uses a complex network evolutionary game approach, considers BA scale-free networks as network vectors of public crisis governance systems, and develops a diffusion model of collaborative governance decision making behaviors. Simulation experiments are also conducted to show the macro-level impact of micro-subjects' decision-making behavior on group “Emergence-Diffusion”. The results of this study show that the cost of collaborative governance has the most significant effect on the depth and breadth of the spread of collaborative behavior in governance networks. The size of the network determines the speed of network diffusion. The smaller the network size, the more sensitive it is to the spillover benefits of collaborative governance, and the larger the network size, the more sensitive it is to the penalties of non-compliance. The findings of the study have implications for the collaborative behavior of multiple agents in public crisis governance. The main findings are that (1) in order to ensure the stability of the collaborative governance system, decision making options should be selected according to the size of the network. (2) A reasonable penalty mechanism for breach of contract should be set up to avoid the phenomenon of "free-riding" in collaborative governance. (3) Reasonable allocation of collaboration benefits and maintenance of cooperative relationships between nodes in the neighborhood. (4) External regulators should ensure that information in the network is disseminated without barriers and reduce the phenomenon of information asymmetry.

Improving the Construction of Public Cultural Service System and Enhancing the Service Ability of Public Libraries to Vulnerable Groups

In the process of speeding up the construction of the public cultural service system in all respects, how to better conduct public cultural services for the vulnerable groups, provide knowledge help and service are the bounden duties of every public library, but also the best embodiment of the equalization and standardization of the construction of the public cultural service system. The formation of a fully covered public library service network must be accelerated, the talent incentive mechanism is innovated, the service supply and demand expression mechanism is built and improved, and the participation of social forces is actively introduced to enhance the service ability of public libraries for all levels of society.

VIRTUAL PRIVATE NETWORKS (VPN): A CONCEPTUAL REVIEW OF SECURITY PROTOCOLS AND THEIR APPLICATION IN MODERN NETWORKS

Virtual Private Networks (VPNs) play a crucial role in ensuring secure communication over public networks. This concept paper provides a comprehensive review of security protocols used in VPNs and their application in modern networks. The paper begins by defining VPNs and explaining their importance in securing data transmission over untrusted networks. It then discusses the evolution of VPN technology, highlighting the transition from traditional IPSec and SSL/TLS protocols to more modern approaches such as WireGuard and QUIC. The paper also examines the security protocols used in VPNs, including IPSec, SSL/TLS, and the newer protocols like WireGuard and QUIC. Each protocol is analyzed in terms of its security features, performance, and suitability for different use cases. Furthermore, the paper explores the application of VPNs in modern networks, including their use in remote access, site-to-site connectivity, and securing cloud-based services. It also discusses the challenges and considerations involved in deploying and managing VPNs in today's complex network environments. In conclusion, the paper emphasizes the importance of VPNs in ensuring secure communication in modern networks. It highlights the need for organizations to carefully evaluate their VPN requirements and choose the appropriate security protocols and technologies to protect their data and networks. Keywords: VPN, Security, Applications, Network.

LC-MS analysis of polar and highly polar organic pollutants in Barcelona urban groundwater using orthogonal LC separation modes.

Groundwater samples may contain thousands of organic pollutants from infiltration of surface water, sewer leakages, and to a minor extent from public water supply network losses. Polar (0 < log D < - 2.0) and very polar substances (log D < - 2.0) have been largely beyond the scope of applied analytical methodologies in environmental monitoring because of challenges related to their extraction from the sample and subsequent chromatographic separation. In this study, we developed an analytical workflow for 96 pollutants covering a broad polarity range, including pharmaceuticals, industrial chemicals, and artificial sweeteners, potentially seeping through the soil in urban areas. The Besos aquifer located at the Northern-eastern edge of the city of Barcelona was chosen as a study area due to the deterioration of the quality of the aquifers over the past years and the proven presence of numerous pollutants. The methodology consisted of vacuum-assisted evaporation (VAE) followed by chromatographic separation of the sample on two columns with orthogonal retention mechanisms, namely, an HSS T3 column (modified C18) and a BEH amide column (HILIC). The analytes were detected by high-resolution mass spectrometry on a Q Exactive Orbitrap system in data-independent acquisition mode. Taking into consideration the retention as well as the peak shape, a Quality Score (QS) was assigned for each analyte to evaluate the quality of each chromatographic peak of each compound. While 67 compounds, including 19 polar and 48 moderately polar, were satisfactorily retained on an HSS T3, 29 compounds, including 14 highly polar, 14 polar, and one moderately polar, were analyzed in the BEH amide column. The optimized methodology was applied for the analysis of 89 out of 96 validated contaminants with satisfactory recoveries in samples collected from seven wells, providing low LODs (0.02 to 0.45ng L-1) and LOQs (0.06 to 1.34ng L-1). A number of highly polar and polar compounds not previously reported to occur in GW, including artificial sweeteners, pharmaceuticals, and industrial chemicals, were detected at concentrations as high as few g L-1.

Implementation Of Murabaha Financing In Baitul Maal Wat Tamwil: A SWOT Analysis

This research uses the SWOT approach to review Murabaha financing at Baitul Maal Wat Tamwil (BMT). This research is field research, with primary and secondary data sources, such as questionnaires, interviews, and literature. The research sample consisted of 20 people and three informants. Data analysis uses a mixed method approach, quantitatively and qualitatively, with the IFAS, EFAS and SWOT matrices. The research results found that several internal and external factors need to be evaluated, such as public trust, quality leadership, networks and partnerships, excellent and friendly service, practical procedures, and strategic location, which are assets that organizations can utilize to socialize Murabaha financing in the community. Meanwhile, external opportunities such as support from government agencies, a majority Muslim community, and local marketing strategies offer further growth and development potential. However, there are areas for improvement in education and awareness, product and service innovation, limited resources, and local marketing strategies that need to be overcome. Furthermore, threats from many competitors, the same target market, and a low public understanding of Islamic financing exist. This research can be helpful as a reference for future research and then become a reference for BMT in aligning organizational strategy with internal strengths and external opportunities, as well as overcoming existing weaknesses and threats.

Paths of financial decentralization through collegiate management in state public schools in the state of Maranhão - Brazil

It includes aspects of collegiate management in the financial decentralization of programs that transfer resources to public schools - especially the Direct Money at School Program - PDDE, correlating this management model to the process of strengthening democratic management. The research sought to understand the conditioning factors involved in the democratic management processes of public schools in the state of Maranhão in terms of community participation in the management of financial resources from the PDDE Program between 2018 and 2020. The methodological perspective is based on field research in schools that have a regulated school cashier in the state public education network in the state of Maranhão, Brazil. The questions that guided the research were aimed at answering how the manager deals with the power of decision over the school's resources, how he manages community participation in the application of resources and how he conceives the dimension of autonomy in the management of resources.

Real time hybrid medical image encryption algorithm combining memristor-based chaos with DNA coding

Image encryption is a commonly used method to secure medical data on a public network, playing a crucial role in the healthcare industry. Because of their complex dynamics, memristors are often used in developing novel chaotic systems that can improve the efficiency of encryption algorithms based on chaos. In this work, we propose a novel locally active memristor-based chaotic circuit model and present a real time hybrid image encryption application developed on a PYNQ-Z1 (Python Productivity for Zynq) low-cost FPGA board using Jupiter programming environment. The proposed hybrid algorithm combines memristor-based chaos with a DNA (deoxyribonucleic acid) encryption algorithm exploiting diffusion-confusion technique. We initially present a new compact and inductorless chaotic circuit, derive the model equations, and then verify its chaotic dynamics numerically through the investigation of the phase portraits, Lyapunov exponents and the bifurcation diagrams. We further implement the chaotic circuit experimentally with discrete elements. The randomness of the chaotic sequence is improved using Trivium and von Neumann post-processor algorithms and assessed through the NIST tests. Finally, the performance of the encryption algorithm is evaluated through various metrics, including histogram and correlation analyses, differential attack, information entropy, as well as data-loss and noise attack, demonstrating its security and suitability for real-time encryption systems.

Evaluation of opioid prescribing for surgical patients discharged from three metropolitan hospitals between 2012 and 2020.

This multicentre, retrospective medical record audit evaluated opioid analgesia prescribing within a Victorian metropolitan public hospital network. The study included all surgical patients discharged between January 2012 and December 2020 with one or more discharge prescriptions from three metropolitan hospitals (n = 117,989). The main outcome measures were mean oral morphine equivalent daily dose (OMEDD), mean number of opioid types and proportion of patients prescribed one or more slow-release opioids on discharge.Total opioid prescribing (mean OMEDD) peaked in 2013. Between 2017 and 2020 there was a trend towards prescribing fewer opioids on discharge. Over the study period, there was decreasing prescription of codeine and increasing prescription of oxycodone and tapentadol. The proportion of patients prescribed slow-release opioids increased in the earlier years of the study, reaching a peak of 20.6% in 2017. Since 2017 there has been a rapid reduction in the prescription of slow-release opioids.Subanalysis was undertaken to evaluate key changes in the opioid prescribing landscape in the health network. The removal of default opioid pack sizes in the electronic medication management system (December 2014) and the release of the Faculty of Pain Medicine-Australian and New Zealand College of Anaesthetists' statement regarding the use of opioid analgesics in patients with chronic non-cancer pain (March 2018) were associated with significant reductions in mean OMEDD prescribed on discharge (136 mg vs 122 mg and 120 mg vs 85.4 mg, respectively, P < 0.001).In conclusion, the quantity of opioids prescribed on discharge in this patient group peaked in 2013 and has been decreasing since.

Assessment of the accessibility of public transport in the Tricity (Poland): analytical use of geographical information systems (GIS) in the context of selected public transport measures

ABSTRACT The Tricity consists of three coastal cities – Gdańsk, Gdynia and Sopot – which also form the core of the Tricity agglomeration. They are among the main development centres of the country. Proper access to public transport for residents is crucial for the sustainable development of the agglomeration. Although the cities are connected by functional links in different areas, the further development of a coherent public transport system is problematic. It is therefore crucial to formulate the question of how these cities can develop the public (collective) transport network? Do residents have access to it and does it meet their needs? Are these measures complementary? A proprietary methodological approach using QGIS and ORS tools was used to conduct the survey. The results of the survey show that 83.5% of Tri-City residents have the nearest train, bus, tram or trolleybus stop within a 5-minute walk of their place of residence. This is followed by 14.39% of residents having a stop within 10 min, 1.47% within 15 min and 0.20% within 20 min. Unfavourable time accessibility applies to 0.45% of residents. The findings of the study may help Tricity local authorities to develop a sustainable public transport policy.

Safe Communication Using Steganography

This research aims to propose a method of safe communication using steganography, which involves hiding information in other information to conceal the fact that communication is taking place. Digital images are one of the most popular file formats used for steganography due to their frequency on the internet. The project focuses on hiding secret information within images using steganography techniques. Different techniques have their respective strong and weak points, and their application requirements vary. The proposed technique allows users to choose the bits for replacement instead of using the least significant bit (LSB) replacement from the images. In this technique, the sender selects a cover image with the secret text or text file, hides it in the image, and sends it to the receiver through a private or public communication network. The receiver retrieves the secret text hidden in the stego-image using the software. This method provides a secure and user-friendly interface for individuals to exchange confidential messages. It leverages the power of image steganography to address the growing need for privacy and confidentiality in digital communication. By hiding messages within images, it ensures a covert and secure means of transmitting information while maintaining the visual appearance of harmless images. Keywords: Encryption, decryption, steganography, safe communication.

Added value of amateur observational network for high-resolution climatological analysis: a case study in the aterno valley, abruzzo, Italy

The ecological transition calls for an increasing need for local climate services. A fine spatial characterization of atmospheric relevant quantities (temperature, precipitation, humidity, wind, solar radiation, etc.) at long-term climatological scales is typically based on observational networks run by public entities such as the European Union (e.g. Copernicus services) and national and regional Agencies (e.g. National Met Office, Hydrographic Offices). The aim of this work is to verify if the density of these networks is adequate to represent the variability over the territory, with particular regard to a complex terrain area such as the Aterno river Valley in Abruzzo, Central Italy. We use a combination of public networks and the available dense amateur network of weather stations. We subject the database to careful data quality check both in terms of temporal and spatial anomalies. We found that the public network is generally adequate to represent the spatial and temporal variability over the area in terms of temperature and precipitation, but this is not the case for wind and relative humidity for the lack of sensors. We suggest that an integration of public and non-institutional observational networks is desirable for a finer climatological characterization of a complex territory and for allowing the description of more phenomena, in order to better inform adaptation measures with respect to climate change.