A deep learning approach to fight illicit trafficking of antiquities using artefact instance classification

We approach the task of detecting the illicit movement of cultural heritage from a machine learning perspective by presenting a framework for detecting a known artefact in a new and unseen image. To this end, we explore the machine learning problem of instance classification for large archaeological images datasets, i.e. where each individual object (instance) is itself a class that all of the multiple images of that object belongs. We focus on a wide variety of objects in the Durham Oriental Museum with which we build a dataset with over 24,502 images of 4332 unique object instances. We experiment with state-of-the-art convolutional neural network models, the smaller variations of which are suitable for deployment on mobile applications. We find the exact object instance of a given image can be predicted from among 4332 others with ~ 72% accuracy, showing how effectively machine learning can detect a known object from a new image. We demonstrate that accuracy significantly improves as the number of images-per-object instance increases (up to ~ 83%), with an ensemble of classifiers scoring as high as 84%. We find that the correct instance is found in the top 3, 5, or 10 predictions of our best models ~ 91%, ~ 93%, or ~ 95% of the time respectively. Our findings contribute to the emerging overlap of machine learning and cultural heritage, and highlights the potential available to future applications and research

Company culture: information, scholarship, and the East India Company settlements 1660-1720s

PhDEMBARGOED UNTIL 01/06/2014I explore how knowledge was created and circulated in and between the settlements of the early English East India Company. I aim: to demonstrate connections between scholarship and early colonialism; to highlight the role of non-elite actors in transferring skills and techniques; and to map global knowledge networks based on systems of patronage that cut across national, ethnic, and social boundaries. Chapter 1 uses the life of Samuel Baron, a half-Dutch, half-Vietnamese factor, spy, and broker for the EIC, client of the rulers of Siam and Tonkin, and author of the Description of Tonqueen to examine the importance of passeurs culturels or go-betweens to both the European trading companies and Asian rulers in the period and their role in transmitting geographical and ethnographic information. Chapter 2 examines the local and international botanical and medical networks of two Company surgeons in Madras, based on collections in the Natural History Museum and the surgeons' correspondence with the apothecary James Petiver. Chapter 3 looks in detail at the development of English scholarship on the Malay language: moving from wordlists and manuscript grammars to the first bilingual English-Malay dictionary, published in 1701. I use the texts to examine the early Company's policies of language-learning and teaching and the theoretical and practical basis of linguistic projects in the period. Chapter 4 follows the movement of a travel text, Robert Knox's Historical Relation of Ceylon, with its author on a series of later voyages. I explore the practical uses of such texts to inform bio-prospecting and the transplantation of crops in the Company's search for island bases in the Atlantic and Indian Oceans. Chapter 5 examines slaves' roles in the transmission of botanical, medical, and cultural knowledge between the 'plantations' of St Helena (South Atlantic) and Bencoulen (Sumatra), through both their work and their resistance

Kidney disease pathways, options and decisions: an environmental scan of international patient decision aids

Background: Conservative management is recognized as an acceptable treatment for people with worsening chronic kidney disease; however, patients consistently report they lack understanding about their changing disease state and feel unsupported in making shared decisions about future treatment. The purpose of this review was to critically evaluate patient decision aids (PtDAs) developed to support patient–professional shared decision-making between dialysis and conservative management treatment pathways. Methods: We performed a systematic review of resources accessible in English using environmental scan methods. Data sources included online databases of research publications, repositories for clinical guidelines, research projects and PtDAs, international PtDA expert lists and reference lists from relevant publications. The resource selection was from 56 screened records; 17 PtDAs were included. A data extraction sheet was applied to all eligible resources, eliciting resource characteristics, decision architecture to boost/bias thinking, indicators of quality such as International Standards for Patient Decision Aids Standards checklist and engagement with health services. Results: PtDAs were developed in five countries; eleven were publically available via the Internet. Treatment options described were dialysis (n = 17), conservative management (n = 9) and transplant (n = 5). Eight resources signposted conservative management as an option rather than an active choice. Ten different labels across 14 resources were used to name ‘conservative management’. The readability of the resources was good. Six publications detail decision aid development and/or evaluation research. Using PtDAs improved treatment decision-making by patients. Only resources identified as PtDAs and available in English were included. Conclusions: PtDAs are used by some services to support patients choosing between dialysis options or end-of-life options. PtDAs developed to proactively support people making informed decisions between conservative management and dialysis treatments are likely to enable services to meet current best practice

The History, Development and Impact of Computed Imaging in Neurological Diagnosis and Neurosurgery: CT, MRI, and DTI

A steady series of advances in physics, mathematics, computers and clinical imaging science have progressively transformed diagnosis and treatment of neurological and neurosurgical disorders in the 115 years between the discovery of the X-ray and the advent of high resolution diffusion based functional MRI. The story of the progress in human terms, with its battles for priorities, forgotten advances, competing claims, public battles for Nobel Prizes, and patent priority litigations bring alive the human drama of this remarkable collective achievement in computed medical imaging

A randomised controlled trial of patient led training in medical education: protocol

<p>Abstract</p> <p>Background</p> <p>Estimates suggest that approximately 1 in 10 patients admitted to hospital experience an adverse event resulting in harm. Methods to improve patient safety have concentrated on developing safer systems of care and promoting changes in professional behaviour. There is a growing international interest in the development of interventions that promote the role of patients preventing error, but limited evidence of effectiveness of such interventions. The present study aims to undertake a randomised controlled trial of patient-led teaching of junior doctors about patient safety.</p> <p>Methods/Design</p> <p>A randomised cluster controlled trial will be conducted. The intervention will be incorporated into the mandatory training of junior doctors training programme on patient safety. The study will be conducted in the Yorkshire and Humber region in the North of England. Patients who have experienced a safety incident in the NHS will be recruited. Patients will be identified through National Patient Safety Champions and local Trust contacts. Patients will receive training and be supported to talk to small groups of trainees about their experiences. The primary aim of the patient-led teaching module is to increase the awareness of patient safety issues amongst doctors, allow reflection on their own attitudes towards safety and promote an optimal culture among the doctors to improve safety in practice. A mixture of qualitative and quantitative methods will be used to evaluate the impact of the intervention, using the Attitudes to Patient Safety Questionnaire (APSQ) as our primary quantitative outcome, as well as focus groups and semi-structured interviews.</p> <p>Discussion</p> <p>The research team face a number of challenges in developing the intervention, including integrating a new method of teaching into an existing curriculum, facilitating effective patient involvement and identifying suitable outcome measures.</p> <p>Trial Registration</p> <p>Current controlled Trials: <a href="http://www.controlled-trials.com/ISRCTN94241579">ISRCTN94241579</a></p

Measurement of b jet shapes in proton-proton collisions at root s=5.02 TeV

We present the first study of charged-hadron production associated with jets originating from b quarks in proton-proton collisions at a center-of-mass energy of 5.02 TeV. The data sample used in this study was collected with the CMS detector at the CERN LHC and corresponds to an integrated luminosity of 27.4 pb(-1). To characterize the jet substructure, the differential jet shapes, defined as the normalized transverse momentum distribution of charged hadrons as a function of angular distance from the jet axis, are measured for b jets. In addition to the jet shapes, the per-jet yields of charged particles associated with b jets are also quantified, again as a function of the angular distance with respect to the jet axis. Extracted jet shape and particle yield distributions for b jets are compared with results for inclusive jets, as well as with the predictions from the pythia and herwig++ event generators.Peer reviewe

Search for new particles in events with energetic jets and large missing transverse momentum in proton-proton collisions at root s=13 TeV

A search is presented for new particles produced at the LHC in proton-proton collisions at root s = 13 TeV, using events with energetic jets and large missing transverse momentum. The analysis is based on a data sample corresponding to an integrated luminosity of 101 fb(-1), collected in 2017-2018 with the CMS detector. Machine learning techniques are used to define separate categories for events with narrow jets from initial-state radiation and events with large-radius jets consistent with a hadronic decay of a W or Z boson. A statistical combination is made with an earlier search based on a data sample of 36 fb(-1), collected in 2016. No significant excess of events is observed with respect to the standard model background expectation determined from control samples in data. The results are interpreted in terms of limits on the branching fraction of an invisible decay of the Higgs boson, as well as constraints on simplified models of dark matter, on first-generation scalar leptoquarks decaying to quarks and neutrinos, and on models with large extra dimensions. Several of the new limits, specifically for spin-1 dark matter mediators, pseudoscalar mediators, colored mediators, and leptoquarks, are the most restrictive to date.Peer reviewe

MUSiC : a model-unspecific search for new physics in proton-proton collisions at root s=13TeV

Results of the Model Unspecific Search in CMS (MUSiC), using proton-proton collision data recorded at the LHC at a centre-of-mass energy of 13 TeV, corresponding to an integrated luminosity of 35.9 fb(-1), are presented. The MUSiC analysis searches for anomalies that could be signatures of physics beyond the standard model. The analysis is based on the comparison of observed data with the standard model prediction, as determined from simulation, in several hundred final states and multiple kinematic distributions. Events containing at least one electron or muon are classified based on their final state topology, and an automated search algorithm surveys the observed data for deviations from the prediction. The sensitivity of the search is validated using multiple methods. No significant deviations from the predictions have been observed. For a wide range of final state topologies, agreement is found between the data and the standard model simulation. This analysis complements dedicated search analyses by significantly expanding the range of final states covered using a model independent approach with the largest data set to date to probe phase space regions beyond the reach of previous general searches.Peer reviewe

Measurement of prompt open-charm production cross sections in proton-proton collisions at root s=13 TeV

The production cross sections for prompt open-charm mesons in proton-proton collisions at a center-of-mass energy of 13TeV are reported. The measurement is performed using a data sample collected by the CMS experiment corresponding to an integrated luminosity of 29 nb(-1). The differential production cross sections of the D*(+/-), D-+/-, and D-0 ((D) over bar (0)) mesons are presented in ranges of transverse momentum and pseudorapidity 4 < p(T) < 100 GeV and vertical bar eta vertical bar < 2.1, respectively. The results are compared to several theoretical calculations and to previous measurements.Peer reviewe