scholarly journals Nuclear Physics. The Societal Impact – A project for Greece?

2021 ◽  
Vol 252 ◽  
pp. 01001
Author(s):  
Nicolas Alamanos

Answers to some of the most important questions that our world is facing out, will come from interdisciplinary efforts in medicine, energy and climate. These are involving contributions from fundamental research and in particular from nuclear physics and associated techniques. From the different types of radiation used in hospitals to Magnetic Resonance Imaging (MRI), nuclear physics and its associated technologies that is accelerators and superconducting magnets are omnipresent. The development of new radioisotope production techniques, therapy of certain cancers with ions and hadron therapy or high field MRI are among the subjects undergoing rapid development. Furthermore, archaeometry and many other societal applications are also benefited from the techniques of nuclear physics. My presentation in the 6th workshop of the Hellenic Institute of Nuclear Physics (HINP) was focused on the links between fundamental research and society and was partially inspired by an article I have published in 2020 on this subject [1]. In the last part of my presentation, I have brushed up the situation concerning the construction of low energy accelerator facilities worldwide. The construction of new accelerator installations is going through a flourishing period in particular in Europe with the construction of new accelerators dedicated to fundamental research in Nuclear Physics, to neutron production and to societal applications. This favourable climate could motivate the Hellenic nuclear physics community to design a new accelerator facility dedicated to fundamental research, neutron production and to the multiple applications of nuclear physics techniques to societal problems. Its construction could benefit from European funds and technical contributions from many European countries like France or Italy.

Author(s):  
Gülseren Kan Şahín ◽  
Eray Aksoy

The paper presents some terracotta lamps recovered from the recent rescue excavations carried out by the museum of Sinop in ancient Sinope. The material has been divided into chronological groups, ranging from the 2nd century BC to the 7th century AD, and by typological characteristics describing different types. The most common finds are local late Hellenistic (1st century BC) and late Roman (4th–5th centuries AD) mold-made lamps attesting to the operation of lamp-maker’s workshops in Sinope. Some of the late Hellenistic lamps are important for their connection with Ephesian and other Asia Minor fabrics. These finds are from the domestic contexts of Hellenistic and late Roman Sinope; but we also have lamps from funerary and commercial contexts. Data on production techniques, fabric and use distribution serves to examine the socio-cultural structure of this ancient site in eastern Paphlagonia.


2021 ◽  
Vol 13 (14) ◽  
pp. 7971
Author(s):  
Xinfei Li ◽  
Baodong Cheng ◽  
Heng Xu

With the rapid development of the economy, corporate social responsibility (CSR) is receiving increasing attention from companies themselves, but also increasing attention from society as a whole. How to reasonably evaluate the performance of CSR is a current research hotspot. Existing corporate-social-responsibility evaluation methods mostly focus on the static evaluation of enterprises in the industry, and do not take the time factor into account, which cannot reflect the performance of long-term CSR. On this basis, this article proposes a time-based entropy method that can evaluate long-term changes in CSR. Studies have shown that the completion of CSR in a static state does not necessarily reflect the dynamic and increasing trend of CSR in the long term. Therefore, the assessment of CSR should consider both the static and dynamic aspects of a company. In addition, the research provides the focus of different types of forestry enterprises in fulfilling CSR in the long term, and provides a clearer information path for the standard identification and normative constraints of different types of forestry enterprises CSR.


2021 ◽  
pp. 20210030
Author(s):  
Junjie Zeng ◽  
Lan Liu ◽  
Jiayong Li ◽  
Qiling Huang ◽  
Leiming Pi ◽  
...  

Objective: To retrospectively analyze magnetic resonance imaging (MRI) features of various pathological subtypes of sinonasal rhabdomyosarcoma (RMS) and explore correlations between imaging features and pathological subtypes. Methods: In total, 11 cases with embryonal, alveolar or pleomorphic sinonasal RMSs, confirmed by surgical pathology, were selected. Their characteristics and distinctive imaging features were analysed, and the correlation between pathology and imaging features was explored. Results: Bone destruction was observed in all 11 cases with RMS. Expansive growth was predominant in three alveolar and three embryonal RMS cases, and creeping growth was predominant in two alveolar, two embryonal and one pleomorphic RMS cases. Signs of residual mucosa were observed in all 11 cases, and 10 cases showed involvement of multiple sinus cavities and orbital cavities. All cases exhibited mild-to-intermediate enhancement. Conclusion: Sinonasal RMSs have the following characteristic MRI features: ethmoid sinuses and middle nasal conchae are the prevalent sites; lesions are mainly of mild enhancement; tumours exhibit signs of residual mucosa, mild-to-intermediate enhancement and frequent orbital involvement; bone invasion and bone destruction are frequently observed; and haematogenous metastasis is not as common as lymphatic metastasis. RMSs of various pathological subtypes were not significantly distinct by imaging.


Author(s):  
Santiago García

With the rapid development of smart phones, tablets and their operative systems, many positioning enabled sensors have been built into these devices. Users can now accurately fix their location according to the function of GPS receivers. For indoor environments, as in the case we are studying, WiFi based positioning is preferred to GPS due to the attenuation or obstruction of signals. This paper deals with the automatic classification of customers in a Sports Shop Center on the basis of their movements around the shop's premises. To achieve this goal, we start by collecting (x,y) coordinates from customers while they visit the store. Consequently, any costumer's path through the shop is formed by a list of coordinates, obtained with a frequency of one measurement per minute. Then, a guess about the full trajectory is constructed and a number of parameters about these trajectories is calculated before performing an Unsupervised Learning Clustering Process. As a result, we can identify several types of customers, and the dynamics of their behavior inside the shop. This information is of great value to the company, to be used both in the long term and also in short periods of time, monitoring the current state of the shop at any moment, identifying different types of situation appearing during restricted periods, or predicting customer flow conditions


2016 ◽  
Vol 43 (5) ◽  
pp. 683-695 ◽  
Author(s):  
Chuanming Yu ◽  
Xiaoli Zhao ◽  
Lu An ◽  
Xia Lin

With the rapid development of the Internet, the computational analysis of social networks has grown to be a salient issue. Various research analyses social network topics, and a considerable amount of attention has been devoted to the issue of link prediction. Link prediction aims to predict the interactions that might occur between two entities in the network. To this aim, this study proposed a novel path and node combined approach and constructed a methodology for measuring node similarities. The method was illustrated with five real datasets obtained from different types of social networks. An extensive comparison of the proposed method against existing link prediction algorithms was performed to demonstrate that the path and node combined approach achieved much higher mean average precision (MAP) and area under the curve (AUC) values than those that only consider common nodes (e.g. Common Neighbours and Adamic/Adar) or paths (e.g. Random Walk with Restart and FriendLink). The results imply that two nodes are more likely to establish a link if they have more common neighbours of lower degrees. The weight of the path connecting two nodes is inversely proportional to the product of degrees of nodes on the pathway. The combination of node and topological features can substantially improve the performance of similarity-based link prediction, compared with node-dependent and path-dependent approaches. The experiments also demonstrate that the path-dependent approaches outperform the node-dependent appraoches. This indicates that topological features of networks may contribute more to improving performance than node features.


Author(s):  
Ketki C. Pathak ◽  
Jignesh N. Sarvaiya ◽  
Anand D. Darji

Due to rapid development of multimedia communication and advancement of image acquisition process, there is a crucial requirement of high storage and compression techniques to mitigate high data rate with limited bandwidth scenario for telemedicine application. Lossless compression is one of the challenging tasks in applications like medical, space, and aerial imaging field. Apart from achieving high compression ratio, in these mentioned applications there is a need to maintain the original imaging quality along with fast and adequate processing. Predictive coding was introduced to remove spatial redundancy. The accuracy of predictive coding is based on the choice of effective and adaptive predictor which is responsible for removing spatial redundancy. Medical images like computed tomography (CT) and magnetic resonance imaging (MRI) consume huge storage and utilize maximum available bandwidth. To overcome these inherent challenges, the authors have reviewed various adaptive predictors and it has been compared with existing JPEG and JPEG LS-based linear prediction technique for medical images.


2019 ◽  
Vol 25 (4) ◽  
pp. 1061-1073
Author(s):  
Pedro Valério ◽  
Rui J.C. Silva ◽  
António M.M. Soares ◽  
M. Fátima Araújo ◽  
Lídia Baptista ◽  
...  

AbstractThe gold technology in Iberia underwent an important development during the Early Iron Age (EIA) following the arrival of new technological skills from the Mediterranean region, including the use of filigree, granulation, and brazing. This work presents the microanalytical study of EIA gold jewels (22 spherical beads and four tongue pendants) recovered from three graves in southern Portugal. The set of jewelry, showing an extraordinary stylistic resemblance, was characterized by optical microscopy, micro energy-dispersive X-ray spectrometry and scanning electron microscopy with X-ray microanalysis to establish the alloy composition and production techniques. The pieces show a close technological relation, making use of artificial gold alloys with different amounts of silver (c. 40 and 25%). The decorative styles include different types of filigree (solid wires and hollow wires), while the joining techniques comprise brazing with Au-Ag-Cu solders and, probably, sintering. In spite of those technological and stylistic features, clearly pointing to a Mediterranean influence, the absence of granulation suggests an indigenous workshop where exogenous technologies/decorations were not yet fully integrated in the manufacture of such luxury items.


Nanomaterials ◽  
2020 ◽  
Vol 10 (3) ◽  
pp. 548 ◽  
Author(s):  
Frédéric Dumur ◽  
Eddy Dumas ◽  
Cédric R. Mayer

The great affinity of gold surface for numerous electron-donating groups has largely contributed to the rapid development of functionalized gold nanoparticles (Au-NPs). In the last years, a new subclass of nanocomposite has emerged, based on the association of inorganic molecular entities (IME) with Au-NPs. This highly extended and diversified subclass was promoted by the synergy between the intrinsic properties of the shell and the gold core. This review—divided into four main parts—focuses on an introductory section of the basic notions related to the stabilization of gold nanoparticles and defines in a second part the key role played by the functionalizing agent. Then, we present a wide range of inorganic molecular entities used to prepare these nanocomposites (NCs). In particular, we focus on four different types of inorganic systems, their topologies, and their current applications. Finally, the most recent applications are described before an overview of this new emerging field of research.


2014 ◽  
Vol 35 ◽  
pp. 1460392
Author(s):  
M. BATTAGLIERI

Searches for physics Beyond the Standard Model (BSM) can be carried out with precise and GeV-energy-range experiments. In many string theories, a Hidden Sector, decoupled to the SM, foresees the existence of a new massive boson, the A′ or heavy photon, that weakly couples to the electromagnetic current. A new particle with mass in the range of 1 MeV - 1 GeV could explain many astro-particle observations (e.g. positron excess seen by PAMELA and AMS experiments) and some anomalies not yet fully understood (e.g. muon g - 2 factor). The search for A′ has motivated intense experimental activities in almost every accelerator facility using different techniques: colliding beam, fixed target experiments, meson rare decays. Jefferson Lab, a world-leading nuclear physics laboratory, is planning a set of fixed target experiments aiming to discover the A′ or set new limits in its mass and coupling, with an unprecedented sensitivity and reach capability. In this contribution, after reviewing the physics case and some experimental evidences, I will report on the program of measurements planned at Jefferson Lab for the next years.


MRS Bulletin ◽  
2005 ◽  
Vol 30 (2) ◽  
pp. 99-104 ◽  
Author(s):  
Luiz Davidovich

AbstractThe following article is based on the plenary address by Luiz Davidovich (Federal University of Rio de Janeiro), presented on April 14, 2004, at the 2004 MRS Spring Meeting in San Francisco. The field of quantum information is a discipline that aims to investigate methods for characterizing, transmitting, storing, compressing, and computationally utilizing the information carried by quantum states. It owes its rapid development over the last few years to several factors: the ability, developed in several laboratories, to control and measure simple microscopic systems; the discovery of fast quantum algorithms; and the recognition that Moore's law will soon lead to the single-atom limit of elementary computing gates.Cryptography and quantum computing are among the main applications in the field.They rely on the subtle and fundamental properties of the quantum world: the unavoidable disturbance associated with measurement, the superposition principle, and the nonlocal properties of entangled states. Progress in this area is intimately connected to a deep understanding of quantum physics: recent achievements include the experimental demonstration of teleportation and detailed investigations of the role of the environment in the quantum–classical transition. This article reviews basic concepts and recent developments in the field of quantum information, emphasizing the close ties between fundamental research and possible applications.


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