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The Egyptian Collection at Norwich Castle Museum represents the first full publication of this important collection which contains several outstanding objects. Part 1 begins with an outline of the acquisition history of the Egyptian collection and its display within Norwich Castle in 1894, when it was converted from a prison to a museum. The collection was largely acquired between the nineteenth and first part of the twentieth centuries. Its most prominent donor was Flaxman Spurrell, whose varied collection of flints, faience beads and necklaces as well as Late Antique cloths was obtained from Sir Flinders Petrie. Also prominent was the Norwich-based Colman family, most notable for its manufacture of mustard, whose collection was purchased in Egypt during the late-C19. Also included in this part are essays on several of the museum’s outstanding items – Ipu’s shroud, a rare early 18th Dynasty example with fragments also held in Cairo; the 22nd Dynasty finely decorated and well-preserved cartonnage and wooden lid of the priest, Ankh-hor; and the exceptional model granary of Nile clay painted with lively scenes, one showing the owner, Intef, playing senet. Part 2 is a detailed catalogue of the complete collection. It is organised into sections with objects grouped together mainly according to type – stelae, shabtis, scarabs, jewellery, amulets, vessels, flints, lamps, inscribed Book of the Dead fragments, metal figurines, and Late Antique cloths; and also according to function – such as cosmetics& grooming, and architectural & furniture elements. The inscribed materials have all been translated and individual entries give examples or parallels. Seventy colour plates illustrate each object.

Pulsars are rapidly rotating, highly magnetized neutron stars emitting radiation across the electromagnetic spectrum. Although there are more than 1800 known radio pulsars, until recently only seven were observed to pulse in gamma rays, and these were all discovered at other wavelengths. The Fermi Large Area Telescope (LAT) makes it possible to pinpoint neutron stars through their gamma-ray pulsations. We report the detection of 16 gamma-ray pulsars in blind frequency searches using the LAT. Most of these pulsars are coincident with previously unidentified gamma-ray sources, and many are associated with supernova remnants. Direct detection of gamma-ray pulsars enables studies of emission mechanisms, population statistics, and the energetics of pulsar wind nebulae and supernova remnants.

Recently, CHIME/FRB project published its first fast radio burst (FRB) catalog (hereafter, Catalog 1), which contains in total 536 unique bursts. With the help of the latest set of FRBs in this large-size catalog, we aim to investigate the dispersion measure (DM) or redshift ( ) distribution of the FRB population, and solution of this problem could be used to clarify the question of FRB origin. In this study, we adopted the M&E 2018 model to fit the observed distribution of FRBs in Catalog 1. In the M&E 2018 model, we are mostly interested in the function, i.e., number of bursts per proper time per comoving volume, which is represented by the star formation rate (SFR) with a power-law index . Our estimated value of is ( ) at the 68 (95) per cent confidence level, implying that the FRB population evolves with redshift consistent with, or faster than, the SFR. Specially, the consistency of the values estimated by this study and the SFR provides a potential support for the hypothesis of FRBs originating from young magnetars.

Retrieval to specific information is critical to user satisfaction in today’s semantic web environment. Users use various terms, nomenclatures and words for aiding mnemonic value to identify concepts for future access and sharing with community members. Social tagging has emerged as a popular option for the millennials to address this issue Tagging is a convenient way used by today’s users for naming their web resources in their own terms. In this study a comparative study was carried out between the standardised Online Computer Library Centre (OCLC) Faceted Application of Subject Terminology (FAST) Subject headings and the popular user-generated tags observed on the LibraryThing website for select books written by Mahatma Gandhi, the iconic Father of Modern India, who was also a prolific writer. M K Gandhi wrote many books, letters, newsletters, essays and edited journals on various subjects like health, vegetarianism, diet, religion and social reforms. A close examination of the subject headings and tags given by users to works authored by M K Gandhi reveal that there is a vast amount of difference between the standard terms assigned using OCLC FAST Subject Headings and tags assigned by the users. The study reveals that neither subject headings nor tags are perfect systems by themselves, but they may complement each other in library catalogues. The inclusion of user-generated keywords into catalogues will greatly enhance representation, organisation and retrieval of resources in a library environment.

Purpose Linking libraries and Wikipedia can significantly improve the quality of services provided by these two major silos of knowledge. Such linkage would enrich the quality of Wikipedia articles and at the same time increase the visibility of library resources. To this end, the purpose of this paper is to describe the design and development of a software system for automatic mapping of FAST subject headings, used to index library materials, to their corresponding articles in Wikipedia. Design/methodology/approach The proposed system works by first detecting all the candidate Wikipedia concepts (articles) occurring in the titles of the books and other library materials which are indexed with a given FAST subject heading. This is then followed by training and deploying a machine learning (ML) algorithm designed to automatically identify those concepts that correspond to the FAST heading. In specific, the ML algorithm used is a binary classifier which classifies the candidate concepts into either “corresponding” or “non-corresponding” categories. The classifier is trained to learn the characteristics of those candidates which have the highest probability of belonging to the “corresponding” category based on a set of 14 positional, statistical, and semantic features. Findings The authors have assessed the performance of the developed system using standard information retrieval measures of precision, recall, and F-score on a data set containing 170 FAST subject headings manually mapped to their corresponding Wikipedia articles. The evaluation results show that the developed system is capable of achieving F-scores as high as 0.65 and 0.99 in the corresponding and non-corresponding categories, respectively. Research limitations/implications The size of the data set used to evaluate the performance of the system is rather small. However, the authors believe that the developed data set is large enough to demonstrate the feasibility and scalability of the proposed approach. Practical implications The sheer size of English Wikipedia makes the manual mapping of Wikipedia articles to library subject headings a very labor-intensive and time-consuming task. Therefore, the aim is to reduce the cost of such mapping and integration. Social implications The proposed mapping paves the way for connecting libraries and Wikipedia as two major silos of knowledge, and enables the bi-directional movement of users between the two. Originality/value To the best of the authors’ knowledge, the current work is the first attempt at automatic mapping of Wikipedia to a library-controlled vocabulary.

The effect of tidal triggering on earthquake occurrence has been controversial for many years. This study considered earthquakes that occurred near Taiwan between 1973 and 2008. Because earthquake data are nonlinear and non-stationary, we applied the empirical mode decomposition (EMD) method to analyze the temporal variations in the number of daily earthquakes to investigate the effect of tidal triggering. We compared the results obtained from the non-declustered catalog with those from two kinds of declustered catalogs and discuss the aftershock effect on the EMD-based analysis. We also investigated stacking the data based on in-phase phenomena of theoretical Earth tides with statistical significance tests. Our results show that the effects of tidal triggering, particularly the lunar tidal effect, can be extracted from the raw seismicity data using the approach proposed here. Our results suggest that the lunar tidal force is likely a factor in the triggering of earthquakes.