Introduction

The introduction outlines the subject of the research. One of the most relevant early medieval elite kinship groups of the Italian kingdom were the Hucpoldings, named after that Hucpold who had held the office of count palatine under Louis II. Key features of the research are the long chronological range and the wide geographical area investigated. The chapter then retraces the main historiographical steps taken in investigations of early medieval kinship groups from the second half of the twentieth century until the latest developments. A specific section is dedicated to the presentation and analysis of the documentary and narrative sources used in this research.

Discourse of Historical Cognition: an Epistemological Analysis

The purpose of this article is to consider the discourse of researchers actively working in the field of historical knowledge. In other words, the article examines the features of the verbalization of basic concepts and methodological attitudes of modern historical knowledge. Discourse analysis, in contrast to the traditional philosophical and methodological, allows you to penetrate into the microcosm of historical work, to observe the “historian at the workbench” outside the “spotlights” and other attributes of public demonstration. Discourse analysis is a specific section of historical epistemology. From the author's point of view, epistemology adheres to a descriptive attitude. It is intended to describe, not prescribe, as is the case with the methodology of science. The goal of the article is to trace and show the dynamics of the historical vocabulary in the hope of seeing emerging trends in the rethinking of the models of the historical process as a whole. Discourse analysis allows you to detail intellectual changes and see “point shifts” in patterns of thinking, which ultimately lead to “tectonic transformations” of the entire field of historical research. Science, according to the theory of P. Bourdieu, is a specific social game, and contains a competitive struggle within itself, in which the winner acquires the right to general recognition and authority, which consolidate the concepts he invented as legitimate. History is no exception here. The article focuses on such concepts that have gained legitimacy as “historical reconstruction”, “temporality”, “past”, “presentism”, “antiquarianism”, “narrative”, “contingent”. It is shown that words are the triggers of search thinking.

Analysis and Validation of the 3D Reconstructive Process through the Extended Matrix Framework of the Temple of the Roman Forum of Nora (Sardinia, CA)

In this work, we will describe the application of the Extended Matrix Framework (EMF) to the 3D reconstruction of the temple on the Roman forum of Nora. EMF represents a specific section of the Extended Matrix (EM) method, developed by the VHLab of the CNR ISPC (Rome), dedicated to the development of software solutions for 3D data management in the field of virtual reconstruction. The combination of EM and EMF allows to: map the reconstructive process, validate the entire workflow (from data ingestion to 3D modelling), manage 3D data, and share outcomes online.

A survey-based approach used to analyse the indoor satisfaction and productivity level of user in smart working during lock-down due to the COVID-19 pandemic

Italy was the first country in Europe to enter lock-down due to COVID-19 pandemic. Most employees have been forced to adopt a work at home solution to avoid any possibility of spreading the virus. The article presents the results of a survey carried out in March-June 2020, during the first lockdown in Italy, aimed at investigating how people perceive the Indoor Environmental Quality (IEQ) of their households during working from home. The questionnaire consists in a general section reporting information about participant, households and rooms where they perform the working activities; a specific section reporting feedbacks on each IEQ aspects (thermal, visual comfort, air and acoustic quality), overall comfort, productivity and other external variables that can affect users’ well-being during working hours. A total of 330 participants from all over the Italian territory signed the consent to participate in the survey over a period of about 3 months. The dataset was used to define the global level of satisfaction, perception, preference and interference with work at home, considering the main indoor environmental factors. The Machine Learning (ML) approach was applied to identify the most useful model to predict the overall comfort satisfaction.

Children Living with Disabilities Are Absent From Severe Malnutrition Guidelines

ABSTRACTPurposeChildren living with disabilities (CLWD) are at high risk of malnutrition but have long been marginalised in malnutrition treatment programmes and research. The 2013 World Health Organization (WHO) guidelines for Severe Acute Malnutrition (SAM) mention disability but do not contain specific details for treatment or support. This study assesses inclusion of CLWD in national and international SAM guidelines.MethodsNational and international SAM guidelines were sourced online and via direct enquiries. Eight scoping key informant interviews were conducted with experts involved in guideline development to help understand possible barriers to formalising malnutrition guidance for CLWD.Results71 malnutrition guidelines were reviewed (63 national, 8 international). Only 4% (3/71) had a specific section for CLWD, while the remaining lacked guidance on consistently including CLWD in programmes or practice. Only one guideline mentioned strategies to include CLWD during a nutritional emergency. Most (99%,70/71) did not link to other disability-specific guidelines. Of the guidelines that included CLWD, most only discussed disability in general terms despite the fact that different interventions are often needed for children with different conditions. Interviews pointed towards barriers related to medical complexity, resource constraints, epidemiology (e.g., unrecognised burden), lack of evidence, and difficulty of integration into existing guidelines.ConclusionChildren living with disability are not recognised in most SAM guidelines. Where they are, recommendations are very limited. Better evidence is urgently needed to identify and manage CLWD in malnutrition programmes. More inclusion in the 2022 update of the WHO malnutrition guidelines could support this vulnerable group.

DETECTING OF FRAUD CLICK ON ADVERTISEMENT

Nowadays, advertising plays a major role in boosting a business. And every company has to pay some amount for it. As we know, mobile technology is handy and almost available in everybody's hands. As business owners, many business personals want to boost their business on mobile devices to see the advertisement. But there is a challenge in it. Mobile promotions are abused with bogus snaps that might be a significant test for the publicizing organization. But reported advancement frameworks use different strategies to recognize click deception; they don't safeguard the customer from possible interest among merchants and commercial frameworks. What's extra, advancement frameworks can't evaluate the customer's activity for click theft area whenever they're engaged to the promoting web content after tapping the advertisement, i.e., in a website, there will be focuses or some specific section after we click on the genuine section it'll be locked in to the publicizing website. We propose Click Fraud Crowdsourcing one all the more freely support-based for the most part structure recommended, that works identified with the two sponsors and advancement organizes to safeguard the two social events from any conceivable snap offensive exhibits. The framework paybacks by seeing of each ad

464 ESCALATION DURING COVID-19

Introduction During the first surge of COVID-19 it was well recognised that early identification of a plan for escalation in the event of deterioration for each patient was vital. If no decision is documented it results in junior staff frequently making decisions regarding escalation in the out of hours period. This leads to patients, or family members, having these conversations with a doctor they may never have met before. My aim was to improve the documentation of escalation plans in all patients within the first 24 hrs of admission. Method Baseline data was collected in September 2019 with further samples in April 2020 and August 2020. Patient medical notes were reviewed to identify if an escalation plan had been made during the period from admission to post take ward round. A COVID admission pathway document was introduced with a specific section on Clinical Frailty Score and Escalation plan between the baseline and April 2020 data. Results Baseline data showed that only 12.8% of medical patients had a documented escalation plan within the first 24 hrs of admission to hospital. During the first surge in April 2020 this number had improved to 47% following introduction of the COVID-19 admission pathway. This included 100% of patients admitted to respiratory wards. Unfortunately when reassessed in August 2020, this number had fallen to 16%. Conclusion Introduction of clinical frailty scoring and an area specifically to document escalation discussions resulted in a marked improvement. Heightened awareness of rapid deterioration of patients during the first surge almost certainly played a role in this. Unfortunately this was not sustained once staff discontinued the use of COVID-19 admission document. Moving forward we will incorporate these sections into the medical and surgical admissions pathways in the hope it produces similar results.

Adequação da MOSE® Competence para a Implementação do Capítulo VII da LGPD: Um Mapeamento dos Ativos de Segurança e Boas Práticas

This study presents a mapping of the assets present in the Guiding Model for the Success of Public and Private Companies (MOSE) and the articles included in the General Data Protection Law (LGPD) of the Brazilian Government, with regard to Security and Good Practices in Chapter VII of this law. The theme becomes relevant, as more and more companies from different contexts need to implement the articles contained in this law in order to adhere to the standard of regulation of personal data processing activities defined by the Brazilian Federal Government. However, this law still needs guidelines for its proper implementation based on the adoption of good practices in models, methods and/or techniques available in the specialized literature. One of these instruments refers to the MOSE, which helps public and private companies to achieve levels of excellence in performance, governance and quality, in the production of goods and services, based on the use of practices and indicators specific to the area of knowledge or specialty. Thus, the research question guiding this work is: how to correspond/map the practices included in the MOSE to guide the implementation of the articles of the LGPD law? The methodology adopted was the asset mapping, described in a specific section of the paper, which included the following steps: definition of the LGPD chapter that focuses on data security management; definition of the model and law structures, and their inputs to be analyzed; identification of the description of each asset; analysis of correspondence between assets; evaluation of the mapping using the peer review technique with expert in the two target standards of this research. The result was the perception that 33% of the MOSE’s competences goals, with the appropriate adjustments, have total adherence with 100% of the security and good pratices assets of LGPD. This mapping is intended to provide assistance in defining a roadmap containing activities, work products, tools, indicators and expected results to achieve the goals defined in the LGPD.

Investigating Web-Based Sustainability Reporting in Italian Public Universities in the Era of Covid-19

Universities are increasingly called to demonstrate to stakeholders their active commitment to responding to social and environmental issues through comprehensive reporting practices. Such expectations were further enhanced by the recent pandemic outbreak unleashed by coronavirus disease 2019 (COVID-19), which has bolstered social pressures on universities to demonstrate their active engagement in supporting health systems in fighting against the virus as well as in ensuring adequate e-learning paths for students. Therefore, this study aims to investigate to what extent Italian public universities disclose sustainability information on their websites. The study is based on a well-established framework adapted from the literature. The category “Sustainability and COVID-19” has been added to also examine the extent to which universities disclose information regarding policies and strategies adopted to cope with the ongoing pandemic crisis. Results evidence that most of the sampled universities devote a specific section of their websites to disclose information on sustainability issues. Results also highlight a strong commitment to the disclosure of social issues. Particular attention is devoted to disclosing information about “Social Performance”; “Sustainability and COVID-19” and “Society Issues”. The results may be beneficial to both policymakers and university governors in gaining awareness about the potential of websites in engendering insights into the social issues that involve a university and a wider range of stakeholders.

Overview of the Airborne Phased Array Radar Observing Simulator

<p>The proposed airborne phased array radar (APAR) system consists of four removable, dual-polarized, C-band AESAs (Active Electronic Scanning Array) strategically located on the fuselage of the NSF/NCAR C-130. Conceptually, the radar system is divided into the front-end, the backend, and aircraft-specific section with the front-end primarily consisting of AESAs and the signal processor is in the backend. The aircraft specific section includes a power system and a GPS antenna.</p><p>As part of the risk reduction of the APAR development, the APAR Observing Simulator (AOS) system has been developed to provide simulated APAR data collection sampled from a C-130 flying by/through realistic numerical weather simulations of high-impact weather events. Given that APAR is designed to extend beyond capabilities of the existing airborne tail Doppler radars (e.g., NOAA TDRs and the retired NSF/NCAR ELDORA), a verification of signal processing software and algorithms is needed before the radar is physically built to ensure that the signal processing software infrastructure can handle high data rates and complicated, multiplex scanning that will be part of normal APAR operations.  Furthermore, several algorithms that will need to ingest large amounts of APAR data at very high rates are under development, including dual-Doppler wind synthesis, radar reflectivity attenuation correction, rain rate estimation, and hydrometeor classification. These algorithms need to be tested and verified before the implementation. </p><p>The AOS will also serve as a planning tool for future Principal Investigators (PIs) who will use it to design and test different flight and scanning strategies based on simulated storms to yield the best scientific outcomes before their field deployment takes place. This will enable better understanding of trade-offs among various sampling regimes/strategies during the planning and enhance future field programs' efficiency and effectiveness.</p>