Search results for "key"

Investigating the inhibition of FTSJ1 a tryptophan tRNA-specific 2’-O-methyltransferase by NV TRIDs, as a mechanism of readthrough in nonsense mutate…

2023

Abstract: Cystic Fibrosis (CF) is an autosomal recessive genetic disease caused by mutations in the CFTR gene, coding for the CFTR chloride channel. About 10% of the CFTR gene mutations are "stop" mutations, which generate a Premature Termination Codon (PTC), thus synthesizing a truncated CFTR protein. A way to bypass PTC relies on ribosome readthrough, which is the ri-bosome’s capacity to skip a PTC, thus generating a full-length protein. “TRIDs” are molecules exerting ribosome readthrough; for some, the mechanism of action is still under debate. We in-vestigate a possible mechanism of action (MOA) by which our recently synthesized TRIDs, namely NV848, NV914, and NV930, could exert their r…

Human Behavior and Urban Open Spaces in Hyper-Dense Areas: The Case of Dhiesheh Refugee Camp-Palestine

2010

Most of the world cities have hyperdense areas within its borders. Hyperdensity can appear in an informal settlement, in a slum area, in an old core, in a city center, or in a camp as in the case of Palestinian refugee camps. Hyperdensity conditions are capable to produce plenty of problems and questions related to the built up environment, quality of life, and people needs. This dissertation is based on exploring the combination between the physical form of urban open space and human behavior to investigate people's needs in urban open spaces of a hyperdense environment. The focus will be on Dheisheh refugee camp within Bethlehem city borders in the West Bank. The research is based on qual…

Evaluation through adaptive model (ATC) in the levels of thermal comfort in summer in offices in Mediterranea locations.

2014

The design of the building-plant system in the case of office buildings has rarely considered the adaptive model of comfort almost always limited to the control of temperature and humidity and only in some cases of PMV and PPD. Specifically when the building interacts with a climate characterized by high values of external temperature and humidity for long periods, and with high solar radiation in the presence of large glazed areas, it is crucial to take into account relevant aspects of the principle of thermal adaptation. The long stay of the occupants in an air-conditioned environment leads, at the request of colder temperatures very distant from those indicated by the criteria of accepta…

A hierarchical framework for the measurement of maintenance efficacy and efficiency using performance indicators

2014

Maintenance plays an important role in achieving the organizational goals so that the measurement of its effectiveness and efficiency has become an essential element of industrial strategy. In literature several Maintenance Key Performance Indicators (MKPIs) are proposed but none structured approach is suggested to select the best set of MKPIs able to synthetically describe a specific maintenance context. The paper proposes a structured methodology for the maintenance performance measurement by means of MKPIs. Firstly, a multi-level hierarchical framework able to synthesize the most meaningful perspectives affecting the performance of the maintenance process is designed. Successively, some …

Structured methodology for selection of maintenance key performance indicators: Application to an oil refinery plant

2017

The novel contribution of the work is the proposal of a structured multi-step methodology that may support the Decision Maker (DM) in the measurement of maintenance performance by means of Maintenance Key Performance Indicators (MKPIs). To this aim, a multi-level hierarchical framework able to synthesize the most meaningful aspects affecting the maintenance results is designed. Then, MKPIs are selected from the literature, assigned to the hierarchical framework and ranked by an Analytic Hierarchy Process-based approach with incomplete comparison matrices. A mathematical model is finally formulated to select the optimal set of MKPIs. The methodology is implemented in an oil refinery plant an…

A Structured Methodology for the Safety Key Performance Indicator Prioritization: A Case Study

2021

Nowadays, companies have become more and more attentive to the management and evaluation of activities, processes and actions related to the safety in workplaces. This attention stems from both the need to comply with law requirements and to improve the productivity of the company by ensuring the reduction of occupational injuries and diseases. Accordingly, performance evaluation is a fundamental step also theorized by the most important guidelines on Occupational Health and Safety Management Systems (OHSMSs). With this recognition, the present paper provides a methodology to prioritize Safety Key Performance Indicators (SKPIs) starting from an initial set selected from the literature. Refe…

INVERTER-BASED DISTRIBUTED GENERATORS, MODELING AND CONTROL

In the last few years, electrical power generation is moving from a centralized generation towards distributed generation including on-site Renewable Energy Sources (RESs). In order to overcome RES related issues, as intermittent and fluctuating power, storage elements are included in the on-site generation system. The interaction between distributed generator (DG) units including RES, storage and front-end power converters should be carefully modeled in order to analyze the power system stability. An accurate modeling of DGs is required. In this thesis, a new modeling approach has been proposed for the inverter-based DGs based on the concept of electrostatic synchronous machines. Detailed …

Identification of Key miRNAs in Regulation of PPI Networks

2020

In this paper, we explore the interaction between miRNA and deregulated proteins in some pathologies. Assuming that miRNA can influence mRNA and consequently the proteins regulation, we explore this connection by using an interaction matrix derived from miRNA-target data and PPI network interactions. From this interaction matrix and the set of deregulated proteins, we search for the miRNA subset that influences the deregulated proteins with a minimum impact on the not deregulated ones. This regulation problem can be formulated as a complex optimization problem. In this paper, we have tried to solve it by using the Genetic Algorithm Heuristic. As the main result, we have found a set of miRNA…

A Network Tomography Approach for Traffic Monitoring in Smart Cities

2018

Traffic monitoring is a key enabler for several planning and management activities of a Smart City. However, traditional techniques are often not cost efficient, flexible, and scalable. This paper proposes an approach to traffic monitoring that does not rely on probe vehicles, nor requires vehicle localization through GPS. Conversely, it exploits just a limited number of cameras placed at road intersections to measure car end-to-end traveling times. We model the problem within the theoretical framework of network tomography, in order to infer the traveling times of all individual road segments in the road network. We specifically deal with the potential presence of noisy measurements, and t…

Short-Term Sensory Data Prediction in Ambient Intelligence Scenarios

2014

Predicting data is a crucial ability for resource-constrained devices like the nodes of a Wireless Sensor Network. In the context of Ambient Intelligence scenarios, in particular, short-term sensory data prediction becomes a key enabler for more difficult tasks such as prolonging network lifetime, reducing the amount of communication required and improving user-environment interaction. In this chapter we propose a software module designed for clustered wireless sensor networks, able to predict various environmental quantities, namely temperature, humidity and light. The software module is supported by an ontology that describes the topology of the AmI scenario and the effects of the actuato…