scholarly journals The Governance of Covid-19 Pandemic Health Emergency in Italy: A Constitutional Perspective

2021 ◽  
pp. 101-109
Author(s):  
Angela Cossiri
Keyword(s):  
Early Stage ◽  
Social Solidarity ◽  
Second Phase ◽  
Constitutional Democracy ◽  
Health Crisis ◽  
Ex Post ◽  
The One ◽  
Council Of Ministers ◽  
Short Time ◽  
Italian Constitution

The essay focuses on the measures that have been taken in Italy to limit the contagion with Coronavirus in the first phase of the health emergency in 2020. The Italian Government was the first to face the epidemiological crisis in a constitutional democracy. The lockdown was one of the most drastic in Europe. On the one hand, fundamental freedoms of individuals have been compressed; on the other, the objective of limiting the expansion of the contagion in the early stage of pandemic expansion has been achieved, probably saving all European countries from an ungovernable health crisis before a minimal preparation. Even some critical aspects in the decision making process could be highlighted from a constitutional law perspective, the Author believes that the temporary measures, although drastic, not exceeded the limits allowed by the Italian Constitution, nor they seriously affected the balance between the powers at least in the first/second phase. The majority of Parliament approved ex post the law-decrees adopted by the Council of Ministers, demonstrating that it share the Government’s political position. Furthermore, in a very short time, the Italian people, in their vast majority, spontaneously adapted to the imposed prohibitions, demonstrating a sense of responsibility and solidarity towards the most vulnerable categories with respect to the effects of the virus (elderly and sick people, for example). The reasons of the economy, which would have required not to stop business activities, have been temporarily recessive with respect to the protection of the health of the community. This decision seems to find its ultimate foundation in the Article 2 of the Italian Constitution which requires everyone to respect the duty of social solidarity.

scholarly journals Lessons Learned from Twelve Years of Partnered Tobacco Cessation Research in the Dominican Republic

2016 ◽  
Vol 11 (2) ◽  
pp. 99-107 ◽  
Author(s):  
Deborah J. Ossip ◽  
Sergio Díaz ◽  
Zahira Quiñones ◽  
Scott McIntosh ◽  
Ann Dozier ◽  
...  
Keyword(s):  
Dominican Republic ◽  
Tobacco Control ◽  
Tobacco Cessation ◽  
Early Stage ◽  
Lessons Learned ◽  
Middle Income ◽  
Health Crisis ◽  
Challenges And Opportunities ◽  
Tobacco Epidemic ◽  
The One

Engaging partners for tobacco control within low and middle income countries (LMICs) at early stages of tobacco control presents both challenges and opportunities in the global effort to avert the one billion premature tobacco caused deaths projected for this century. The Dominican Republic (DR) is one such early stage country. The current paper reports on lessons learned from 12 years of partnered United States (US)-DR tobacco cessation research conducted through two NIH trials (Proyecto Doble T, PDT1 and 2). The projects began with a grassroots approach of working with interested communities to develop and test interventions for cessation and secondhand smoke reduction that could benefit the communities, while concurrently building local capacity and providing resources, data, and models of implementation that could be used to ripple upward to expand partnerships and tobacco intervention efforts nationally. Lessons learned are discussed in four key areas: partnering for research, logistical issues in setting up the research project, disseminating and national networking, and mentoring. Effectively addressing the global tobacco epidemic will require sustained focus on supporting LMIC infrastructures for tobacco control, drawing on lessons learned across partnered trials such as those reported here, to provide feasible and innovative approaches for addressing this modifiable public health crisis.

CBED study of low-temperature InP grown by gas source MBE

1993 ◽  
Vol 51 ◽  
pp. 810-811
Author(s):  
R. Rajesh ◽  
M.J. Kim ◽  
J.S. Bow ◽  
R.W. Carpenter ◽  
G.N. Maracas
Keyword(s):  
Low Temperature ◽  
Second Phase ◽  
Material System ◽  
Ion Milling ◽  
Electrical Measurements ◽  
Gas Source ◽  
Structural And Electrical Properties ◽  
The One ◽  
Lt Inp ◽  
Gas Source Mbe

In our previous work on MBE grown low temperature (LT) InP, attempts had been made to understand the relationships between the structural and electrical properties of this material system. Electrical measurements had established an enhancement of the resistivity of the phosphorus-rich LT InP layers with annealing under a P2 flux, which was directly correlated with the presence of second-phase particles. Further investigations, however, have revealed the presence of two fundamentally different types of precipitates. The first type are the surface particles, essentially an artefact of argon ion milling and containing mostly pure indium. The second type and the one more important to the study are the dense precipitates in the bulk of the annealed layers. These are phosphorus-rich and are believed to contribute to the improvement in the resistivity of the material.The observation of metallic indium islands solely in the annealed LT layers warranted further study in order to better understand the exact reasons for their formation.

Hidden “holes” in the capital of banks and the supply of credit to the real sector of economy

2018 ◽  
pp. 49-68 ◽  
Author(s):  
M. E. Mamonov
Keyword(s):  
Credit Risk ◽  
The Other ◽  
Real Sector ◽  
Capital Management ◽  
Loan Loss ◽  
Short Term ◽  
The Real ◽  
Ex Post ◽  
The One

Our analysis documents that the existence of hidden “holes” in the capital of not yet failed banks - while creating intertemporal pressure on the actual level of capital - leads to changing of maturity of loans supplied rather than to contracting of their volume. Long-term loans decrease, whereas short-term loans rise - and, what is most remarkably, by approximately the same amounts. Standardly, the higher the maturity of loans the higher the credit risk and, thus, the more loan loss reserves (LLP) banks are forced to create, increasing the pressure on capital. Banks that already hide “holes” in the capital, but have not yet faced with license withdrawal, must possess strong incentives to shorten the maturity of supplied loans. On the one hand, it raises the turnovers of LLP and facilitates the flexibility of capital management; on the other hand, it allows increasing the speed of shifting of attracted deposits to loans to related parties in domestic or foreign jurisdictions. This enlarges the potential size of ex post revealed “hole” in the capital and, therefore, allows us to assume that not every loan might be viewed as a good for the economy: excessive short-term and insufficient long-term loans can produce the source for future losses.

The Application of UX Research in New Energy Vehicle Innovation

2019 ◽  
Vol 1 (1) ◽  
Author(s):  
Menghan TAO ◽  
Ning XIAO ◽  
Xingfu ZHAO ◽  
Wenbin LIU
Keyword(s):  
Early Stage ◽  
Rapid Expansion ◽  
The Other ◽  
Innovative Product ◽  
Stage Of Development ◽  
New Energy ◽  
New Energy Vehicle ◽  
The One ◽  
New Energy Vehicles ◽  
Degree Of Innovation

New energy vehicles(NEV) as a new thing for sustainable development, in China, on the one hand has faced the rapid expansion of the market; the other hand, for the new NEV users, the current NEVs cannot keep up with the degree of innovation. This paper demonstrates the reasons for the existence of this systematic challenge, and puts forward the method of UX research which is different from the traditional petrol vehicles research in the early stage of development, which studies from the user's essence level, to form the innovative product programs which meet the needs of users and being real attractive.

Accurate Detection and Quantization of Leaf- Diseases through Soft Computing

2018 ◽  
Vol 1 (1) ◽  
pp. 236-247
Author(s):  
Divya Srivastava ◽  
Rajitha B. ◽  
Suneeta Agarwal
Keyword(s):  
Machine Learning ◽  
Image Processing ◽  
Agricultural Production ◽  
Bacterial Blight ◽  
Early Stage ◽  
Second Phase ◽  
Computationally Efficient ◽  
Stage Of Disease ◽  
Accurate Detection ◽  
Two Phases

Diseases in leaves can cause the significant reduction in both quality and quantity of agricultural production. If early and accurate detection of disease/diseases in leaves can be automated, then the proper remedy can be taken timely. A simple and computationally efficient approach is presented in this paper for disease/diseases detection on leaves. Only detecting the disease is not beneficial without knowing the stage of disease thus the paper also determine the stage of disease/diseases by quantizing the affected of the leaves by using digital image processing and machine learning. Though there exists a variety of diseases on leaves, but the bacterial and fungal spots (Early Scorch, Late Scorch, and Leaf Spot) are the most prominent diseases found on leaves. Keeping this in mind the paper deals with the detection of Bacterial Blight and Fungal Spot both at an early stage (Early Scorch) and late stage (Late Scorch) on the variety of leaves. The proposed approach is divided into two phases, in the first phase, it identifies one or more disease/diseases existing on leaves. In the second phase, amount of area affected by the disease/diseases is calculated. The experimental results obtained showed 97% accuracy using the proposed approach.

Der Erzieher als Manager

2019 ◽  
Vol 95 (4) ◽  
pp. 517-530
Author(s):  
Diana Lohwasser
Keyword(s):  
Educational Process ◽  
The Other ◽  
Critical View ◽  
Other Hand ◽  
The One ◽  
Short Time ◽  
Time Diagnosis

Abstract The Educator as a Manager. A Critical View In the following article tasks and motifs of the educator as manager are described. It is clear that there are other educator metaphors and associated behaviors. To some extent, the actions of the different educator metaphors overlap, but they differ in their purpose and perspective on the educational process and the person to be educated. First, a short time diagnosis is made, which describes the context of this metaphor of the educator as manager. Subsequently, on the one hand, the various motifs, tasks and objectives of an educator as manager are discussed. On the other hand, it is asked if it is possible in the current discourse to take a different perspective on the educational process.

A modern method of treating initial caries for children using the infltration method

2020 ◽  
Vol 20 (1) ◽  
pp. 4-8
Author(s):  
A. U. Zamurayeva ◽  
Е. T. Supiyeva ◽  
B Sh. Orynbayeva
Keyword(s):  
Pathogenic Bacteria ◽  
Early Stage ◽  
Modern Method ◽  
Modern Technology ◽  
White Spot ◽  
Tooth Decay ◽  
Low Viscosity ◽  
Initial Caries ◽  
Short Time ◽  
Infiltration Method

Relevance. The modern method of infiltration provides an opportunity to stop the spread of pathogenic bacteria and the development of caries at the white spot stage, replacing the destroyed enamel cells with special polymers having low viscosity and high penetrating ability. The stabilization of the process is achieved in a short time with the maximum safety of their tissues. Purpose. Treatment of initial tooth decay in children by infiltration, assessment of the effectiveness and advantages of modern technology. Materials and methods. Clinical examination was carried out according to generally accepted methods. Additionally, a laser diagnostic method was used using the KaVo DIAGNOdent device (Germany). The LLP Dentistry Center «Zhaik Dent» and the LLP «Concept» used the Icon system for the treatment of initial caries and after orthodontic treatment for 25 children with 54 teeth. Results. At the end of tooth treatment with the Icon infiltration method, parents and the child were given recommendations: from the next day, brush your teeth 2 times a day, rinse your mouth regularly after eating, do not drink drinks, products with coloring substances. To monitor the result of treatment, the child was prescribed for reexamination after 7-10 days, after one month, in the following periods – once a year.After working with the material of the Icon system, the authors noted the pronounced effects of the treatment of initial caries by the method of infiltration.Conclusions. 1. The method of infiltration is a modern and promising technology for the treatment of dental caries at an early stage without losing healthy tissues. 2. The Icon infiltration method makes it possible to stop the spread of pathogenic bacteria and develop tooth decay at the white spot stage, replacing the destroyed enamel cells with special polymers having low viscosity and high penetrating ability. 3. The stabilization of the carious process is achieved in a short time with the maximum preservation of the tooth's tissues. 

Identification of Coronary Artery Disease using Artificial Neural Network and Case Based Reasoning

2020 ◽  
Vol 13 ◽  
Author(s):  
Varun Sapra ◽  
M.L Saini ◽  
Luxmi Verma
Keyword(s):  
Neural Network ◽  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Early Stage ◽  
Second Phase ◽  
Case Based Reasoning ◽  
Data Set ◽  
Artery Disease ◽  
Severity Of The Disease ◽  
Case Based

Background: Cardiovascular diseases are increasing at an alarming rate with very high rate of mortality. Coronary artery disease is one of the type of cardiovascular disease, which is not easily diagnosed in its early stage. Prevention of Coronary Artery Disease is possible only if it is diagnosed, at early stage and proper medication is done. Objective: An effective diagnosis model is important not only for the early diagnosis but also to check the severity of the disease. Method: In this paper, a hybrid approach is followed, with the integration of deep learning (multi-layer perceptron) with Case based reasoning to design analytical framework. This paper suggests two phases of the study, one in which the patient is diagnosed for Coronary artery disease and in second phase, if the patient is suffering from the disease then employing Case based reasoning to diagnose the severity of the disease. In the first phase, multilayer perceptron is implemented on reduced dataset and with time-based learning for stochastic gradient descent respectively. Results: The classification accuracy is increase by 4.18 % with reduced data set using deep neural network with time based learning. In second phase, if the patient is diagnosed as positive for Coronary artery disease, then it triggers the Case based reasoning system to retrieve from the case base, the most similar case to predict the severity for that patient. The CBR model achieved 97.3% accuracy. Conclusion: The model can be very useful for medical practitioners as a supporting decision system and thus can save the patients from unnecessary medical expenses on costly tests and can improve the quality and effectiveness of medical treatment.

scholarly journals Precautionary Behavior Practices and Psychological Characteristics of COVID-19 Patients and Quarantined Persons

2021 ◽  
Vol 18 (11) ◽  
pp. 6070
Author(s):  
Yubin Lee ◽  
Byung-Woo Kim ◽  
Shin-Woo Kim ◽  
Hyunjin Son ◽  
Boyoung Park ◽  
...  
Keyword(s):  
Public Health ◽  
South Korea ◽  
Emergency Preparedness ◽  
Online Survey ◽  
Early Stage ◽  
Psychological Characteristics ◽  
Social Solidarity ◽  
Psychological States ◽  
Precautionary Behavior ◽  
Public Health Emergency Preparedness

Background: since the coronavirus disease (COVID-19) was first reported in 2019, South Korea has enforced isolation of patients with confirmed cases of COVID-19, as well as quarantine for close contacts of individuals diagnosed with COVID-19 and persons traveling from abroad, in order to contain its spread. Precautionary behavior practices and psychological characteristics of confirmed and quarantined persons were investigated for planning pandemic recovery and preparedness. Methods: this study was conducted with 1716 confirmed patients and quarantined persons in Daegu and Busan, regions where a high number of cases were confirmed during the early stage of the COVID-19 outbreak in South Korea. We collected online survey data from 23 April to 20 May 2020, in Daegu, and 28 April to 27 May 2020, in Busan, in cooperation with Daegu and Busan Infectious Disease Control Centers and public health centers in the regions. COVID-19 symptoms, pre-cautionary behavior practices, psychological states, and the need for improvement in isolation/quarantine environments were examined using an online survey. Results: compared to patients infected with coronavirus, quarantined persons engaged in more hygiene-related behaviors (e.g., hand washing, cough etiquette, and proper mask-wearing) and social distancing. COVID-19 patients had a strong fear of stigma, while quarantined persons had a strong fear of contracting COVID-19. Study participants responded that it was necessary to provide financial support and adequate information during isolation/quarantine. Conclusions: the study highlights the importance of precautionary behavior to prevent COVID-19 infection and the need to provide support (both psychological and financial) to patients and quarantined persons, to reinforce effective communication, social solidarity, and public health emergency preparedness (PHEP) in a pandemic situation.

scholarly journals Deep Learning Approach for Vibration Signals Applications

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3929
Author(s):  
Han-Yun Chen ◽  
Ching-Hung Lee
Keyword(s):  
Surface Roughness ◽  
Tool Wear ◽  
Parameters Optimization ◽  
Frequency Spectra ◽  
Vibration Signals ◽  
Bearing Faults ◽  
Time Frequency ◽  
And Performance ◽  
The One ◽  
Short Time

This study discusses convolutional neural networks (CNNs) for vibration signals analysis, including applications in machining surface roughness estimation, bearing faults diagnosis, and tool wear detection. The one-dimensional CNNs (1DCNN) and two-dimensional CNNs (2DCNN) are applied for regression and classification applications using different types of inputs, e.g., raw signals, and time-frequency spectra images by short time Fourier transform. In the application of regression and the estimation of machining surface roughness, the 1DCNN is utilized and the corresponding CNN structure (hyper parameters) optimization is proposed by using uniform experimental design (UED), neural network, multiple regression, and particle swarm optimization. It demonstrates the effectiveness of the proposed approach to obtain a structure with better performance. In applications of classification, bearing faults and tool wear classification are carried out by vibration signals analysis and CNN. Finally, the experimental results are shown to demonstrate the effectiveness and performance of our approach.

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