Miracle-dz/UniFAR-FTUs huggingface dataset:
Imaging through a scanner, darkly: spectral imaging for sentinel lymph node biopsies

Breast cancer is the single most prevalent form of cancer in the UK today, accounting for around 16% of all diagnoses, and around 31% of diagnoses in women. The survival rates are good. However, the prognosis is heavily dependent on the stage to which the cancer has progressed at diagnosis. In order to help accurately determine this stage, the sentinel lymph node of patients undergoing tumour resection surgery is removed and examined cytologically for the presence of cancerous cells. This examination of the lymph node is currently the rate-limiting step in the operation as a whole. There is evidence in the literature to suggest that cancerous tissue has a measurably different infrared spectrum from healthy tissue owing to chemical and morphological differences in the tissue. There is further evidence to suggest that in the visible and near infrared region, the spectra of healthy lymph node tissue is different from that of cancerous tissue. This thesis details a project, performed in collaboration with a surgical team at St Mary's Hospital, Newport, Isle of Wight, to analyse spectral images taken in the visible and near infrared, of biopsied lymph node tissue. In the course of the project, an unsupervised classification technique, based on an extension to the well established 'spectral angle', was developed to analyse the spectral images. Psoriasis affects 2-3% of the UK population causing itchy and/or painful plaques on the skin. One of the main treatments for psoriasis is UV phototherapy, exposure to which is a risk factor for burning and the development of cancers. This thesis details an investigation into the possibility of developing a targeted UV phototherapy system based on spectral imaging to delineate the plaques and a proposed new UV laser for treatment.
The Flute: New Sounds

IN TWO previous articles in PERSPECTIVES (Vol. 5, No. 1 and Vol. 7, No. 1) I reported on the possibilities of playing multiple-sonorities on woodwind instruments, and gave lists for flute, oboe, clarinet, and bassoon of those sounds I consider most dependable. Recent developments in the soundproduction possibilities on my own instrument, the flute, lead me to offer an updated report. Several of the techniques introduced here are, to the best of my knowledge, my own discoveries; others have become known to me through contact with other composers and performers. My information, however acquired, is naturally limited. The whole subject area of new performance techniques is quite vast and still growing,1 even just for the flute. Many performers and composers currently have their own individual techniques and fingering charts for new sounds.2 The present need appears to be one of communication and consolidation, and it is in this spirit that I offer what follows.
Multidimensional Indexing Structures for Content‐Based Retrieval

: This report has been submitted for publication outside of IBM and will probably be copyrighted if accepted for publication. It has been issued as a Research Reportfor early dissemination of its contents. In view of the transfer of copyright to the outside publisher, its distribution outside of IBM prior to publication should be limited to peer communications and specific requests.After outside publication, requests should be filled only by reprints or legally obtained copies of the article (e.g. , payment of royalties). Copies may be requested from IBM T. J. Watson Research Center , P. O. Box 218,Yorktown Heights, NY 10598 USA (email: reports@us.ibm.com). Some reports are available on the internet at http://domino.watson. ibm.com/library/CyberDig.nsf/home .
An Automatic Video Object Extraction Algorithm Based on Watershed in the Wavelet Domain

An automatic video object segmentation algorithm based on spatio-temporal information was proposed . Temporal segmentation was based on change detection, whose key factor was the selection of appropriate threshold by histogram analysis. For spatial segmentation, watershed transformation was performed in the wavelet domain. The fusion of the spatio-temporal segmentation was based on a bi-directional projection approach. Experimental results have shown that it can achieve more desirable results than COST211 AM.
Fortification of Hybrid Intrusion Detection System Using Variants of Neural Networks and Support Vector Machines

Intrusion Detection Systems (IDS) form a key part of system defence, where it identifies abnormal activities happening in a computer system. In recent years different soft computing based techniques have been proposed for the development of IDS. On the other hand, intrusion detection is not yet a perfect technology. This has provided an opportunity for data mining to make quite a lot of important contributions in the field of intrusion detection. In this paper we have proposed a new hybrid technique by utilizing data mining techniques such as fuzzy C means clustering, Fuzzy neural network / Neurofuzzy and radial basis function(RBF) SVM for fortification of the intrusion detection system. The proposed technique has five major steps in which, first step is to perform the relevance analysis, and then input data is clustered using Fuzzy C-means clustering. After that, neuro-fuzzy is trained, such that each of the data point is trained with the corresponding neuro-fuzzy classifier associated with the cluster. Subsequently, a vector for SVM classification is formed and in the last step, classification using RBFSVM is performed to detect intrusion has happened or not. Data set used is the KDD cup 1999 dataset and we have used precision, recall, F-measure and accuracy as the evaluation metrics parameters. Our technique could achieve better accuracy for all types of intrusions. The results of proposed technique are compared with the other existing techniques. These comparisons proved the effectiveness of our technique.
Fingerprint Identification Based on Mopso in SVM

Abstract. The problem of fingerprint classification is discussed for many years. Support Vector Machine (SVM) is a traditional artificial intelligence algorithm developed for dealing classification problems. In this paper, we used the idea of multi-objective optimization to transform SVM into a new form, since the core concept of SVM is built up on a single optimization equation, and some parameters for this algorithm still need user to make tons of experiment to determine. Our algorithm has successfully proved that user do not need to make experiment to determine the penalty parameter C. NIST-4 database is used to assess our proposed algorithm. The experiment results show our method can get good classification results.
Short-term influence of a percussive soft-tissue technique on active weightbearing dorsiflexion and Achilles tendon excursion : a case series

This thesis entitled Short-term influence of a percussive soft-tissue technique on active weight-bearing dorsiflexion and Achilles tendon excursion: A case series is submitted in partial fulfilment for the requirements for the Unitec degree of Master of Osteopathy Candidate’s declaration I confirm that: • This thesis represents my own work; • Research for this work has been conducted in accordance with the Unitec Research Ethics Committee Policy and Procedures, and has fulfilled any requirements set for this project by the Unitec Research Ethics Committee. Research Ethics Committee Approval Number: 2015-1009
Measuring disability in chronic pain: Factor structure and revision of the Sickness Impact Profile

Chronic pain is a complex condition that can adversely impact all areas of one's life. Despite a wealth of treatment options, complete pain relief is rare. Consequently, treatment goals often aim to improve functioning in physical, psychological, and social domains. Assessments play an important role in planning treatment and monitoring changes in functioning, but must balance comprehensiveness with patient burden. The Sickness Impact Profile (SIP; Bergner, Bobbitt, Carter, & Gilson, 1981) is a wellestablished general health measure that provides comprehensive clinical information across multiple domains, but remains limited due to its substantial length and questionable factor structure. While several short-form adaptations of the SIP have been developed, these measures are either not suitable for use in chronic pain or sacrifice its broad scope in favor of a greatly reduced number of items. Given the prevalence and difficulty in managing chronic pain, there is still a need for a psychometrically sound, chronic pain-specific measure that provides broad and robust clinical information while minimizing patient burden. The present study conducted a secondary analysis on assessment data of adults with chronic pain (N=723) presenting for treatment at an
Extracting users in community question-answering in particular contexts

Community Question-Answering (CQA) services, such as Yahoo! Answers, Stack Overflow and Brainly, have become important sources of seeking and sharing information. Online users use CQA to look for information and share knowledge on topics ranging from arts to travel. The questions posted on CQA sites often rely on the wisdom of the crowd or the idea that the best answer could come from a culmination of several answers by different people with varying expertise and opinions. Given that CQA is a user-driven service, user experience becomes an important aspect, affecting the activeness and even the survival of the site. In this work, we are interested in studying the behavior of the users who participate in CQA. Specifically, we wish to understand how different types of users could be identified based on their behaviors on a CQA-specific problem at hand. A user’s behavior depends on their particular contexts. For example, when we say that Alice is a good user, the interpretation of her behavior actually rests on the context in which it occurs. She might be a good user in the whole community, a good user for a specific topic, a good user for a particular question or a good user for a particular answer. In this dissertation, we will study and extract users in different levels of granularity. Examples of such classes of users include (i) potential answerers (ii) good/bad answerers, (iii) struggling users, and (iv) rising star users. Users are the main driving force in CQA and understanding them allows us to know the current state of their respective sites. The findings in this dissertation will be useful in identifying specific CQA user types. Defense Committee: Prof. Chirag Shah (Chair), Prof. Amlie Marian, Prof. Thu Nguyen, Prof. Panos Ipeirotis (NYU).
The USPSTF recommendation on intimate partner violence: what we can learn from it and what can we do about it

The third U.S. Preventive Service Task Force concluded that there is insufficient evidence to recommend for or against screening for IPV in the primary care setting. This article describes the Task Force's current methods to evaluate preventive practices and develop recommendations, examines the systematic evidence reviews for screening for IPV and several other services that are recommended by the USPSTF, and identifies strategies to address gaps in the evidence and to promote a more equitable assessment of IPV as a preventive practice.
Innovations in Practice: Using clinician‐rated outcomes to support improved service decision making in a Child and Adolescent Mental Health Service

BACKGROUND Clinical outcomes are now routinely collected in most services. However, there is a need to make full use of the information collected in order to improve the use of limited Child and Adolescent Mental Health Service (CAMHS) resources. This paper describes a method of improving service decision making by making the interpretation of outcomes data accessible to frontline staff. METHOD Clinician ratings of child outcomes for 2876 cases were routinely collected between 2009 and 2013 in a single CAMHS service. These outcomes were assessed against seven 'point of entry' and 'treatment' variables. RESULTS Older children, referred by social care and presenting with multiple problems were associated with worse treatment outcomes than other service users. These findings were used to create an accessible Service Evaluation Chart of outcomes, to support discussion and decision making within the service. This process enabled the identification of a group who had particularly poor outcomes and resulted in consideration about service changes to try to improve outcomes for this specific group. CONCLUSIONS Providing clinicians with accessible information about outcomes promotes the likelihood of outcomes being used in service decision making.
Venus, Varro and the vates: toward the limits of etymologizing interpretation

This paper on Roman etymologizing and etymological word-play was orginally conceived in the 1990s as a response to Robert Maltby’s Lexicon of Ancient Latin Etymologies.Section 1 offers a snap-shot of etymological word-play inaction in Augustan elegy; the focus is on plays associatedwith the name of Venus, in Propertius and in the poems of theCorpus Tibullianum associated with Sulpicia. Section 2 turnsfrom the poet to the grammarian, and briefly considers the language used to expound etymologies in Varro’s De Lingua Latina. Section 3 employs readings of Varro and of Ovid to adumbrate larger epistemological issues connected with etymology and etymological word-play in its Roman cultural contexts, and in modern critical practice.
An analysis of the effectiveness of energy management on modern computer processors

Managing energy consumption has become a critical issue for computer system designers. End-users are forced to charge battery-powered devices on a daily basis because battery technology has not kept pace with the demands of the power-hungry processors and peripherals used in today’s mobile devices. Thousands of servers in data-centres also use power-hungry processors which result in huge costs for power and cooling. This is impacting our environment by accelerating global climate-change. To help mitigate these problems, processor manufacturers have implemented various powermanagement mechanisms, including dynamic voltage and frequency scaling (DVFS) and low-power idle modes, to reduce and manage the power consumption of their processors. These mechanisms are controlled by the operating system (OS) and in the past, their use could result in significant improvements in energy efficiency. However, changes in semiconductor technology are altering the effectiveness of these mechanisms. This thesis shows that on recent platforms, using DVFS results in only marginal reductions in systemlevel energy consumption for realistic workloads such as MPEG video playback. However, we find that the system-level energy consumption of lightly loaded web-servers can be reduced without impacting throughput or response latency. This results in an improvement in energy efficiency. However, several trends exist which are leading to diminishing returns from traditional powermanagement mechanisms. We analyse these trends to determine their impact on the effectiveness of the energy-management techniques used in systems today, and look into the future to see what might help to reduce the energy consumption of the computer systems of tomorrow.
Classification of vascular dementia in the Cardiovascular Health Study Cognition Study

Objective: To describe the diagnostic classification of subjects with incident vascular dementia (VaD) participating in the Cardiovascular Health Study (CHS) Cognition Study. Methods: The CHS classified 480 incident cases between 1994 and 1999 among 3,608 CHS participants who had brain MRI in 1992 through 1994 and in 1997 through 1998. The patients were diagnosed before and after reviewing the brain MRI. Results: The pre-MRI classification showed that 52 participants had VaD and 76 had both Alzheimer disease (AD) and VaD. The post-MRI classification showed that the Diagnostic and Statistical Manual of Mental Disorders (4th ed.; DSM-IV) criteria classified 61 subjects as having VaD, the National Institute of Neurological Disorders and Stroke-Association Internationale pour la Recherche et l’Enseignement en Neurosciences (NINDS-AIREN) criteria classified 43 subjects as having probable VaD and 10 as possible VaD, and the State of California Alzheimer’s Disease Diagnostic and Treatment Center (ADDTC) criteria classified 117 as having probable VaD and 96 as possible. The combination of the ADDTC and National Institute of Neurological and Communication Disorders and Stroke-Alzheimer’s Disease and Related Disorders Association criteria was used to examine the spectrum of vascular disease in dementia. The dementia was attributable to only vascular factors in 56 cases (probable VaD); VaD coexisted with AD in 61 cases, although the VaD component was the leading cause of dementia (probable VaD with AD); AD was the leading cause of dementia in 61 cases (possible VaD and probable AD); and in 29 cases, it was not clear that either AD or VaD was the primary diagnosis (possible AD and possible VaD). Conclusions: None of the clinical criteria for VaD identified the same group of subjects. The diagnosis of vascular dementia is difficult in epidemiologic studies because poststroke dementia can be due to Alzheimer disease (AD) and evidence of vascular disease can be found in the MRI of dementia cases without clinical strokes. Whether the clinical progression is related to AD pathology or vascular disease is difficult to establish.
Reflective Symmetry in Music and Literature

Similar concentric symmetry is found in the structures of many twentiethcentury compositions. It appears, for instance, in John Cage's Sonatas and Interludes, where the four groups of four sonatas balance each other in a roughly chiastic pattern and where the four interludes are so placed that the second and third, certainly t o of the most striking compositions in the set, stand side by side at the central position of importance:
A Taxonomy of Organizational Dependencies and Coordination Mechanisms

Interdependency and coordination have been perennial topics in organization studies. The two are related because coordination is seen as a response to problems caused by dependencies. Past studies, however, describe dependencies and coordination mechanisms only in general terms, without characterizing in detail difference between dependencies, the problems dependencies create or how the proposed coordination mechanisms address those problems. This vagueness makes it difficult or impossible to determine what alternative coordination mechanisms might be useful in a given circumstance or to directly translate these alternative designs into specifications of individual activities. In this paper I develop a taxonomy of dependency types by considering possible combinations of activities using resources. The taxonomy includes task-resource dependencies and three types of task-task dependencies: shared resources, producer-consumer and common output. For each type of dependency, alternative coordination mechanisms are described. I conclude by discussing how the taxonomy helps to analyze organizational processes and suggest alternative processes.
Dr. Crevaux’s Wayana-Carib Pidgin Of The Guyanas: A Grammatical Sketch

In this paper, we look at the notes gathered by the French medical doctor and explorer Jules Crevaux on the language he calls “Roucouyenne” and which is today known as Wayana or Oayana, a Cariban language spoken by between 500 and 900 people in Suriname French Guiana, and Brazil. We give some background information about Jules Crevaux and his notes on the Wayana Pidgin (which he believed to be Wayana proper). Then we give some information about Wayana Pidgin and Pidgin Carib in general, we compare some select properties with equivalents in the Wayana language. We identify some points of continuation between Crevaux and other sources of Carib Pidgin. Finally we provide some information about pidgin users and include some comments that other authors had on Crevaux’s materials, and we provide a grammatical sketch of his version of Carib Pidgin.1
The Role of Tangible Interaction in Children’s Cognitive Development through Music Composition and Performance

Tangible user interfaces (TUIs) empower artists, boost their creative expression and enhance their performing art. However, most of them are designed to work with a set of rules, many of which require advanced skills and target users above a certain age. Here we present a comparative and quantitative study of using TUIs as an alternative teaching tool in experimenting with and creating soundscapes with children. We describe an informal interactive workshop involving schoolchildren. We focus on the development of playful uses of technology to help children empirically understand basic techniques of audio feature extraction. We promote tangible interaction as an alternative learning method in the creation of synthetic soundscape based on sounds recorded in a natural outdoor environment as main sources of sound. We investigate how schoolchildren perceive natural sources of sound and explore practices that reuse prerecorded material through a tangible interactive controller. We discuss the potential benefits of using TUIs as an alternative empirical method for tangible learning and interaction design, and its impact on encouraging and motivating creativity in children. We summarize our findings and review children’s behavioural indicators of engagement and enjoyment in order to provide insight to the design of TUIs based on user experience.
TRANUS-J: Putting Large Models into Small Computers

Traditionally, large integrated land-use and transport models require considerable amounts of computer resources, restricting their use to a small number of metropolitan or regional planning authorities and to an elite of consultancy firms. The increasing availability of microcomputers should be able to extend the use of models to a much larger community of planners. However, even the most efficient packages existing today cannot be fitted into the standard desk-top machines. The purpose of this paper is to describe a package for land-use and transport simulation for microcomputers, showing that this is not only possible, but also that there is no need to sacrifice detail or accuracy. Furthermore, the need to produce highly compact and efficient models has forced the research team to look for completely new algorithms and even new theoretical developments. In designing the models, economy of resources was also extended to data requirements, calibration, and evaluation, and considerable attention was devoted to making the models easy to handle and the results easy to interpret. The authors begin by describing the theoretical base of the models, briefly covering random utility, decision chains, and hierarchies. Next, a summary of the mathematical formulation is presented, finishing with a description of the operative characteristics of the computer programs and complementary features.
Text Analyzer for Efficient Information Retrieval

When we retrieve information from a website or web-based system we receive both relevant and unwanted material. Reading unwanted material wastes time and reduces productivity. A well-designed text analyzer can help minimize this problem. This research presents a text analyzer that reduces the amount of unwanted material retrieved. It filters unwanted material by using the knowledge that it had gained previously or acquired by grouping data elements. Results show that the accuracy of information retrieved is proportional to the efficiency of work done and decisions made. Its performance is compared and bench-marked with other text analyzers. Initial investigations based on several sample runs show that this text analyzer is more efficient than many others.