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Spiking Adaptive Energetic Programming Based on Poisson Procedure for Discrete-Time Nonlinear Techniques.
) as opposed to logged earnings and socioeconomic status points. In an age of record high and rising inequality, the core question of social stratification research really comes down to "What's in your Wallet"?It is demanded to supply foods with good quality for all the humans. With the advent of aging society, palatable and healthy foods are required to improve the quality of life and reduce the burden of finance for medical expenditure. Food hydrocolloids can contribute to this demand by versatile functions such as thickening, gelling, stabilising, and emulsifying, controlling texture and flavour release in food processing. Molar mass effects on viscosity and diffusion in liquid foods, and on mechanical and other physical properties of solid and semi-solid foods and films are overviewed. In these functions, the molar mass is one of the key factors, and therefore, the effects of molar mass on various health problems related to noncommunicable diseases or symptoms such as cancer, hyperlipidemia, hyperglycemia, constipation, high blood pressure, knee pain, osteoporosis, cystic fibrosis and dysphagia are described. Understanding these problems only from the viewpoint of molar mass is limited since other structural characteristics, conformation, branching, blockiness in copolymers such as pectin and alginate, degree of substitution as well as the position of the substituents are sometimes the determining factor rather than the molar mass. Nevertheless, comparison of different behaviours and functions in different polymers from the viewpoint of molar mass is expected to be useful to find a common characteristics, which may be helpful to understand the mechanism in other problems.The present research concerns the procedures of concessions for the improvement and exploitation of public property assets. We propose a model that helps to define the optimal combination of novel uses in public properties. This model is an answer to the need for effective strategies to find new functions for disused buildings or abandoned areas. The model integrates the logic of the Discounted Cash-Flow Analysis (DCFA) and the goal programming for determining the new functions, to identify the macro-solution that maximizes the financial conveniences of the parties involved (Public Administration and private investor), in terms of monetary compensation for the Public Administration and return on investment for the private operator. The algorithm of the model has been applied to five existing public properties located in the city of Rome (Italy); for each property a specific procedure of concessions for the improvement of public assets can be activated and different eligible enhancement projects can be realized. The outputs generated by the optimization model are a valid decision support in all the phases of the concession procedure to identify the (public and private) strengths and weaknesses concerning the redevelopment initiatives on public properties. selleck The effective re-use of these properties can actually help to prevent further soil consumption.This study seeks to contribute knowledge of the Zen retreat experience unique to Buddhist tourism. The research setting is the Zen retreats found at the Donghua Zen Temple in China. This study examined feedback obtained from 520 tourists who stayed at Zen retreats. Zen retreat organizer insights were obtained through online discussions. This study identified four motivations for, and three outcomes of, staying at Zen retreats. Within the Zen retreat experience, this study clarified four themes in knowledge growth (mingxin), three themes in spiritual growth (jianxing), and two mechanisms to foster knowledge and spiritual growth. This study further proposed a figure demonstrating Zen practitioners' lifelong journey, and a figure categorizing tourists in Buddhist tourism into Zen tourism, Zen lifestyle, and Zen retreat by level of involvement.Corona virus disease-2019 (COVID-19) is a pandemic caused by novel coronavirus. COVID-19 is spreading rapidly throughout the world. The gold standard for diagnosing COVID-19 is reverse transcription-polymerase chain reaction (RT-PCR) test. However, the facility for RT-PCR test is limited, which causes early diagnosis of the disease difficult. Easily available modalities like X-ray can be used to detect specific symptoms associated with COVID-19. Pre-trained convolutional neural networks are widely used for computer-aided detection of diseases from smaller datasets. This paper investigates the effectiveness of multi-CNN, a combination of several pre-trained CNNs, for the automated detection of COVID-19 from X-ray images. The method uses a combination of features extracted from multi-CNN with correlation based feature selection (CFS) technique and Bayesnet classifier for the prediction of COVID-19. The method was tested using two public datasets and achieved promising results on both the datasets. In the first dataset consisting of 453 COVID-19 images and 497 non-COVID images, the method achieved an AUC of 0.963 and an accuracy of 91.16%. In the second dataset consisting of 71 COVID-19 images and 7 non-COVID images, the method achieved an AUC of 0.911 and an accuracy of 97.44%. The experiments performed in this study proved the effectiveness of pre-trained multi-CNN over single CNN in the detection of COVID-19.
Adverse Childhood Experiences (ACEs) such as, physical and sexual abuse, neglect, or living in a household with domestic violence or substance misuse, can have negative impacts on mental and physical health across the lifecourse. A deeper understanding of the kinds of services that people affected by ACEs feel they need to overcome these negative impacts is required.

How do people affected by ACEs between the ages of 3 to 18 experience support and services in the UK? What are their needs relating to services and support?

Systematic review of qualitative evidence. We harvested relevant studies from existing systematic reviews of qualitative evidence located through a search of 18 databases. Included studies needed to be published in or after 2008, conducted in the UK, and report the views of people exposed to ACEs relating to their service needs. We included studies with participants who were affected by ACEs between 3 and 18years old with no restriction on the age at which they accessed services.

We identified 71 reviews from which we harvested 238 references on title and abstract screening.
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