Miracle-dz/UniFAR-FTUs huggingface dataset:
Role of qualitative research to inform design of epidemiological studies: A cohort study of mental health of migrants from the former Yugoslavia

Background: While limited research has been conducted among displaced people in the UK it is clear that mental health problems in this group are more prevalent than among the general population. Aims: To develop a better understanding of pre and post migration factors that may affect mental health of forced and elective immigrants from the former Yugoslavia and to use data to inform the measures of exposures and outcomes in a subsequent epidemiological study. Method: Focus groups and semi-structured interviews were conducted with 19 asylum seekers, refugees and migrants from the former Yugoslavia. Data were analyzed systematically using the Framework Analysis Method. Result: Participants focussed on impaired social functioning rather than emotional or psychological problems when describing the impact of their experiences on their health. Concerns were raised about access of secondary care services and the treatment they received within primary care. Conclusion: Preliminary work enabled us to identify the terms people use to describe their experiences, and to generate additional hypotheses on service utilization that will be tested in a subsequent cohort study. Declaration of interest: TD is funded by a Medical Research Council Health Services Training Fellowship.
Foundations of MIMO Communication

Understand the fundamentals of wireless and MIMO communication with this accessible and comprehensive text. Viewing the subject through an information theory lens, but also drawing on other perspectives, it provides a sound treatment of the key concepts underpinning contemporary wireless communication and MIMO, all the way to massive MIMO. Authoritative and insightful, it includes over 330 worked examples and 450 homework problems, with solutions and MATLAB code and data available online. Altogether, this is an excellent resource for instructors and graduate students, as well as an outstanding reference for researchers and practicing engineers.
Forensic Examination of Class Characteristics in English Handwriting of the Three States: Andhra Pradesh, Punjab and Kashmir in India

The present study analyzed the English handwriting of subjects from Andhra Pradesh, Punjab and Jammu and Kashmir to investigate whether the examination of style characteristics helps determine the nationality/ethnicity of the writer or the place where the writer learned writing. The subjects had completed secondary education in their respective regional languages along with English as a second language. Characteristic features such as letter formations, punctuation marks, spacing between letters, and margins were observed. The data were analysed using the chi- square test to determine significant class characteristics in the English handwritings. Significant class characteristics were identified; these occurrences were attributable to the influence of habitually writing in their native language, because the impact of regional language on the subjects’ English handwriting was observed in a few samples. Forensic document examiners will be able to determine class characteristic in the English handwritings of people from different states using the established procedure and possibly also determine the nationality or ethnic origin of writers.
A Self-Organizing NeuralNetworkApproach fortheIdentification ofMotifs with Insertions and Deletions inProtein Sequences

Current popular algorithms ofmotif identifi- cation inprotein sequences face twodifficulties, large com- putation andinsertions anddeletions ofletters. Inthis pa- per, weprovide anewstrategy that solves this problem ina moreefficient andeffective way.Webuild aself-organizing neural networkwithmultiple levels ofsubnetworks to classify subsequences obtained fromtheprotein sequences. We maintain alowcomputational complexity through the useofthismulti-level structure sothattheclassification ofeachsubsequence isperformed withrespect toasmall subspace ofthewholeinput space. Thenewdefinition of pairwise distance between motif patterns provided inthis papercandealwithmoreinsertions/delet ions allowed ina motif thanother algorithms. Inthesimulation result, our algorithm significantly outperforms existing algorithms in bothaccuracy andreliability aspects.
On Learning Wire-Length Efficient Neural Networks

Much recent work on computationally efficient image recognition has focused on minimizing the number of non-zero weights in the neural network [1–8]. This is a good energy measure for computation on a general purpose processor, however, as transistor sizes are approaching fundamental limitations, it may be more sensible to construct specialized neural network circuits [9, 10]. In specialized circuits, unlike in general purpose processors, energy consumption is often dominated by wiring length, and not number of memory accesses [11–15]. Moreover, wiring length is also optimized for in biological systems [16, 17], it correlates in practice to actual specialized circuit energy consumption [18], and is a fundamental engineering limitation for computation in the nonfrictionless environments of the physical world [19, Chapter 8]. Inspired by this, in this paper we consider pruning algorithms to optimize for this wiring length measure using three techniques, each of which are used in different steps of the training-pruning process: weight-distance nested rank pruning, weight-distance based regularization, and layer-by-layer bipartite matching.
Classification and Denoising of Objects in TEM and CT Images Using Deep Neural Networks. Objektide klassifitseerimine ja müratustamine TEM ja KT kujutistelt sügavate närvivõrkude abil

99 KOKKUVÕTE. 101 APPENDIX . 103 Publication A . 105 Publication B . 119 Publication C . 127 Publication D . 129 Publication E . 141 CURRICULUM VITAE . 155 ELULOOKIRJELDUS . 156
An Evaluation of the IntelliMetric[SM] Essay Scoring System.

This report provides a two-part evaluation of the IntelliMetricSM automated essay scoring system based on its performance scoring essays from the Analytic Writing Assessment of the Graduate Management Admission TestTM (GMATTM). The IntelliMetric system performance is first compared to that of individual human raters, a Bayesian system employing simple word counts, and a weighted probability model using more than 750 responses to each of six prompts. The second, larger evaluation compares the IntelliMetric system ratings to those of human raters using approximately 500 responses to each of 101 prompts. Results from both evaluations suggest the IntelliMetric system is a consistent, reliable system for scoring AWA essays with a perfect + adjacent agreement on 96% to 98% and 92% to 100% of instances in evaluations 1 and 2, respectively. The Pearson r correlations of agreement between human raters and the IntelliMetric system averaged . 83 in both evaluations. Volume 4, Number 4
Multi-focus image fusion via morphological similarity-based dictionary construction and sparse representation

Sparse representation has been widely applied to multi-focus image fusion in recent years. As a key step, the construction of an informative dictionary directly decides the performance of sparsity-based image fusion. To obtain sufficient bases for dictionary learning, different geometric information of source images is extracted and analysed. The classified image bases are used to build corresponding subdictionaries by principle component analysis. All built subdictionaries are merged into one informative dictionary. Based on constructed dictionary, compressive sampling matched pursuit algorithm is used to extract corresponding sparse coefficients for the representation of source images. The obtained sparse coefficients are fused by Max-L1 fusion rule first, and then inverted to form the final fused image. Multiple comparative experiments demonstrate that the proposed method is competitive with other the state-of-the-art fusion methods.
Toward large scale F.E. computation of hot forging process using iterative solvers, parallel computation and multigrid algorithms

The industrial simulation code Forge3® is devoted to three‐dimensional metal forming applications. This finite element software is based on an implicit approach. It is able to carry out the large deformations of viscoplastic incompressible materials with unilateral contact conditions. The finite element discretization is based on a stable mixed velocity–pressure formulation and tetrahedral unstructured meshes. Central to the Newton iterations dealing with the non‐linearities, a preconditioned conjugate residual method (PCR) is used. The parallel version of the code uses an SPMD programming model and several results on complex applications have been published. In order to reduce the CPU time computation, a new solver has been developed which is based on multigrid theory. A detailed presentation of the different elements of the method is given: the geometrical approach based on embedded meshes, the direct resolution of the velocity–pressure system, the use of PCR method as an original smoother and for solving the coarse problem, the full multigrid method and the required preconditioning by an incomplete Cholesky factorization for problems with complex contact conditions. By considering different forging cases, the theoretical properties of the multigrid method are numerically verified, optimizations of the solver are presented and finally, the results obtained on several industrial problems are given, showing the efficiency of the new solver that provides speed‐up larger than 5. Copyright © 2001 John Wiley & Sons, Ltd.
Intelligent Sensor Networks The Integration Of Sensor Networks Signal Processing And Machine Learning

What is DCS? (Distributed Control System) 13 Secret Tricks Every Police Officer Uses Intelligent Integration with InterSystems IRIS tinyML Asia 2021 Mahesh Mehendale: ML@ExtremeEdge of Always-on Intelligent Sensor Networks The emerging intersection of Smart Space and finance: spatial finance in support of climate action EVERYTHING You Can Do With The Google Nest Hub Wireless Sensor Networks integrated in Internet of Things 5 Ways to Disarm Toxic People Wireless Sensor Network Utilizing Flexible Nitrate Sensors for Smart Farming APIs for Beginners How to use an API (Full Course / Tutorial)[IEEE ComSoc-SPS ISAC Webinar] 2nd Prof. Andrew Zhang and Prof.Yimin Zhang Convergence of Software, IoT and Renewable energy for Real Estate How to solve the \"working together\" riddle that stumps most US college students 10 Secrets Walmart Doesn't Want You To Know (Part 2) Apple Last Minute Leaks! 15 Ways Intelligent People Deal With Difficult and Toxic People 8 Secrets Airport Staff Don't Want You to Know 10 Signs Your House Is Being Watched by Robbers 12 COOLEST Car GADGETS That Are Worth Buying Galaxy Watch 4 Classic First 10 Things To Do! Everything the Amazon Echo (4th Gen) Can Do 5 Pieces of Advice for Dealing with Toxic People | Digital Original | Oprah Winfrey Network SENSOR NETWORKS-INovel “Smart Cube” Wireless Sensors with Embedded Processing/Communication/Power Core for “Smart In-Network, Physical Adaptation of Sensor NetworksWhat is Modbus and How does it Work? Auditory Display in Patient Monitoring – a Growing Volume Dr. Penelope Sanderson ICAD 2021 Intelligent Interconnects with Integrated Electronics SRSnet Smart resource-aware multi-sensor network CES 2014: Smart Sensor Network Intelligent Sensor Networks The Integration According to Mordor Intelligence, the U.S. medical robotics market is expected to reach $28.34 billion by 2026. These next-generation systems promise lower costs, less hardware, smaller incisions, .
QSPEEDUP: KVAZI-MONTE KARLO IMPLEMENTACIJA SPEEDUP KODA ZA RAČUNANJE FUNKCIONALNIH INTEGRALA QSPEEDUP: QUASI-MC IMPLEMENTATION OF THE SPEEDUP PATH INTEGRAL CODE

Sadraj – Znacajno ubrzanje Monte Karlo algoritma za izracunavanje funkcionalnih integrala u kvantnoj mehanici postignuto je upotrebom novog analitickog metoda koji sistematski poboljsava numericku konervenciju diskretizovanih amplituda ka njihovim kontinuum vrednostima. Ovakav optimizovani Monte Karlo algoritam je implementiran u SPEEDUP Monte Karlo kodu. U ovom radu opisujemo znacajno poboljsanje ovog algoritma upotrebom kvazi-Monte Karlo metoda za efikasno generisanje relevantnih trajektorija za nekoliko jednostavnih kvantnih modela.
Timing of postcombat mental health assessments.

509 Army Soldiers (who had returned within the previous week from a 12-month deployment to Iraq) participated in a study to examine changes in psychological symptoms between homecoming and 120 days later. Rates of psychological symptoms were significantly higher at 120 days postdeployment than at immediate reintegration largely due to an increase in Soldiers who were initially nonsymptomatic but became symptomatic later.
Nuevos colorantes biologicos y citoquimica de la coloracion

Se describen las condiciones experimentales para preparar un azul de metileno policromo por oxidacion en medio acido, alcalino, con permanganato potasico o con oxido de plata humedo, asi como de una mezcla de azul de metileno-azul de toluidina en la relacion 4:1 a ph alcalino. Por precipitacion de dichas soluciones con eosina y o b, floxina b o con rosa bengala, se obtienen "nuevos colorantes neutros". Se estudian los caracteres espectrofotometricos y por cromatografia en capa fina de silicagel 60. De los nuevos colorantes neutros destacamos el eosinato y de azul de toluidina y los eosinatos y o b de azul de metileno -azul de toluidina sin policromar y policromados en medio alcalino, donde se obtiene una mezcla de tiazinas, tionolinas y metil-2-tionolinas. Otros nuevos colorantes tricromicos estan formados por verde luz sf, orange g y fucsina acida disueltos en etanol a ph=2,8-3. Estos colorantes neutros y tricronicos tienen interes en citohematologia comparada, hemoparasitologia y en citologia clinica (diagnostico citohormonal y en citocancerologia). Por ultimo, se discuten el efecto de la concentracion del colorante y la presencia de sales sobre el mecanismo de la coloracion de biomacromoleculas naturales u obtenidas por modificaciones quimicas de los biosustratos (celulas, tejidos u organos). Palabras clave: tiazinas, xantenos, colorantes neutros, colorantes tricromicos, citologia clinica.
ConCORD: Tracking and Exploiting Cross-Node Memory Content Redundancy in Large-Scale Parallel Systems

In large-scale parallel systems scientific workloads consist of numerous processes running across many nodes. Their memory footprint is massive, however many studies from both our and others’ works have shown that significant amount of memory content redundancy usually exists in these systems. This has consequences for services that enhance performance, reliability, or power. For example, leveraging content sharing could significantly reduce the size of a checkpoint of a group of nodes. As another example, it could speed VM migration by allowing the reconstruction of a VM’s memory from multiple source VMs. Finally, a service that improves reliability by introducing memory redundancy could leverage existing content sharing to minimize the memory costs of any particular level of redundancy. I argue that, a facility that continuously tracks and identifies the sharing of memory content, both within individual machines, and across machines, should be included in the infrastructure of a large-scale HPC system. To support my claim, I consider 1) the opportunity that this service could unveil, 2) the feasibility of creating the service, and 3) the impact that such a facility would have. In my dissertation, to show the opportunity, I demonstrate that both intra-node and inter-node memory content sharing is common in parallel scientific workloads, through a detailed study of both kinds of sharing, at different scales, different granularities, and different times for a range of applications and application benchmarks. Next, I claim that identifying and tracking inter-node memory content redundancy is possible with low overhead on a scalable system. To support my claim, my dissertation presents the design, implementation and evaluation of ConCORD, a distributed system that is able to scalably measure the amount of inter-node memory content sharing and identify the specific shared content regions in large-scale parallel systems with minimal performance impact. Finally, to enhance the impact of ConCORD, I propose a content-aware service command model, which allows HPC services to be enhanced and deployed to effectively exploit memory content redundancy existing in the system with minimal efforts. By leveraging the effective and low overhead content-aware interface from ConCORD, various of such HPC services would be greatly simplified and enhanced. I will also demonstrate this in my dissertation by building one of such services on top of ConCORD. I have implemented ConCORD and linked it to Palacios, an OS independent embeddable virtual machine monitor to which I am a major contributor. This effort was made possible by support from the National Science Foundation (NSF) via grants CNS-0709168, and the Department of Energy (DOE) via grant DE-SC0005343.
Behavior Coordination for a Mobile Visuo-Motor System in an Augmented Real-World Environment

We utilize HUMPHRYS' W-Learning on a real robot Khepera to coordinate three behaviors in an augmented maze: first, to drive straight and fast while avoiding obstacles, second, to find a location marked by one projected color (e.g., where food can be found), and third, to escape from another color. We describe the experimental setup and compare results of the individual agents to those of a monolithic agent solving all tasks, and of the agents coordinated by different types of WLearning. We demonstrate the feasibility of WLearning on a real visuo-motor system and conclude by discussing why the monolith outperforms all forms of coordination investigated
Emotiv EPOC BCI with Python on a Raspberry pi

The hybrid Brain-Computer Interface [BCI] system gives an insight on the development of useful interfaces for users with different backgrounds, from medical applications to video games, where standalone and wearable means accessibility for the user. Systems such as EPOC offers a simple solution for acquiring electroencephalography and electromyography signals with low price and fast setup, compared to high tech medical equipment. From the processing point of view, a computer always offers the main foundation for solving any issue, as the Raspberry Pi [RPi] does, which provides the sufficient computational power for a BCI to be implemented and an open source operating system such as Raspbian. Certainly a wireless communication is a must between the robot and the RPi, where an Xbee module gives a simple bidirectional connection. Python is the principal tool used in the project with multiple libraries for the processing of brain and muscular signals not only for the preparation of them but classification as well, from multithreading functions, feature extraction such as power spectral density and Hjorth parameters, and a support vector machine classifiera.
Partition BIC optimale de l'espace des prédicteurs

Cet article traite du partitionnement optimal de l'espace de predicteurs categoriels dans le but de predire la distribution a posteriori d'une variable reponse elle-mˆeme categorielle. Cette partition optimale doit repondre a un double critere d'ajustement et de simplicite que prennent precisement en compte les criteres d'information d'Akaike (AIC) ou bayesien (BIC). Apres avoir montre comment ces criteres s'appliquent dans notre contexte, on s'interesse a la recherche de la partition qui minimise le critere retenu. L'article propose une heuristique rudimentaire et demontre son efficacite par une serie de simulations qui comparent le quasi optimum trouve au vrai optimum. Plus que pour la partition elle meme, la connaissance de cet optimum s'avere precieuse pour juger du potentiel d'amelioration d'une partition, notamment celle fournie par un algorithme d'induction d'arbre. Un exemple sur donnees reelles illustre ce dernier point.
Application of fuzzy control theory in multi-phase traffic control of single intersection

The model of the single traffic intersection is described according to the actual situation at the intersection of Tiyuchang Road with Wulin Road in the city of HangZhou. A fuzzy control approach for this intersection is presented by means of the vehicle flow information in four directions and the model described. With the performance criterion being the average delay of vehicles, the timing plan is determined. Simulations show that the fuzzy control can perform the multiphase signal traffic control of a single intersection effectively and the results obtained are satisfactory.
Imaging of pulmonary tuberculosis: A new view in the 21st century

Poster: "ESTI 2012 / E-0121 / Imaging of pulmonary tuberculosis: A new view in the 21st century" by: "M. S. C. Sousa, N. Alves, V. Heredia, L. E. Filipe; Evora/PT"
Evidence-based evaluation of programme interventions to achieve positive community integration outcomes for adults with acquired brain injury

iv TABLE OF CONTENTS vii LIST OF TABLES xii LIST OF FIGURES xiv LIST OF ABBREVIATIONS AND ACRONYMS xv CHAPTER 1: INTRODUCTION 1 1.1 STATEMENT OF THE PURPOSES AND SIGNIFICANCE OF THE STUDY 2 1.2 OVERVIEW OF THE PROJECT METHODOLOGY 4 1.2. 1 Phase 1: Defining and describing a community integration framework for adults with ABI. 4 1.2. 2 Phase 2: An instrument to evaluate the fidelity of community integration programmes for adults with ABI. 5 1.2. 3 Phase 3: Field test of Programme Assessment of Community Integration Attributes. 5 1.3 OVERVIEW OF THE THESIS STRUCTURE 5 1.4 ETHICS 1 1.5 PROJECT PARTICIPANTS: REFERENCE GROUP, EXPERT PANEL, AND PARTICIPANT GROUPS . 6 2 CHAPTER 2: LITERATURE REVIEW 9 2.
An improved steady-state method applying Broyden's technique to the shooting method [nonlinear circuits]

This paper presents a time-domain method which enables multi-level and mixed-domain steady state analysis. In some key applications such as power electronics and communications, the designer is typically interested in the steady state performance of the circuit. Currently, one of the popular methods for computing the forced periodic steady state of a nonlinear circuit is the shooting method. This requires the solution of a boundary equation for periodicity. Our technique uses a quasi-Newton method called Broyden's method to solve this equation. This widens the range and applicability of the shooting method considerably. With this algorithm it is now possible to do time-domain, behavioral steady-state analysis. Other advantages are that it requires significantly less matrix computations and storage than previously used methods, and that it can be implemented very easily around any standard transient analysis program. Results on several converter circuits which show the potential of this algorithm are presented.