Miracle-dz/UniFAR-FTUs huggingface dataset:
A SMART HOME CONTROLLER USING AN INTEGER PROGRAMMING APPROACH FOR THE OPTIMIZATION OF CONSUMER ECONOMIC SAVING AND COMFORT PAULO

 Energy efficiency is a vital subject for the world. In the years to come it is expected that residences and industries will become smart consumers and the grid will be used more efficiently. A smart home controller can help the residential consumers to achieve economic savings by moving the start of each load to times of low tariff. A side effect yet to be studied is the impact on the customer comfort of such controller. In this paper the comfort problem will be mathematically described as a integer programming optimization problem and it will be demonstrated by computer simulations that it is possible to achieve high levels of economic saving without a great impact on the user comfort level by making the controller optimize a combination of both objective functions. Keywords Automation, Energy Efficiency, Demand Side Management, Combinatorial Optimization. Resumo  O primeiro capitulo apresenta uma revisão da litetura sobre eficiência energética e demand side management. No capítulo dois é apresentado a formulação matemática de um controlador residencial para economia de energia e é introduzido o nível de conforto como função-objetivo. O capítulo três apresenta simulações realizadas sobre o modelo matématico do controlador para diferentes cenários e configurações. O capítulo quatro discute os resultados das simulações com foco nas consequências da introdução da nova função-objetivo. No capítulo cinco as contribuições deste artigo são apresentadas. O capítulo seis apresenta as conclusões do trabalho e os próximos melhoramentos a serem implementados. No capítulo sete constam as referências bibliográficas.
Locking with different granularities for reads and writes in an MVM system

Investigates the use of a multi-view virtual memory (MVM) in providing efficient locking services for transaction processing or database systems. The locking granularity is customizable by applications and, furthermore, the locking granularities for read and write operations may differ. The system provides for the enforcement of access control protocols on units of a memory region through finite state machine (FSM) specification. The data units can vary in size from one memory region to another. Threads executing transactions do not explicitly request locks on data items-they simply access the data items, while locking is represented through state transitions and is performed automatically. Only when a thread is suspended are the state changes communicated to the software lock manager. The context switching overhead is thus reduced. Synchronization of threads is possible within a single task or across tasks. Any synchronization protocol that can be represented by an FSM is supported by the MVM system. This paper describes how MVM supports sophisticated locking in which the locking granularities for read and write operations differ. The benefits gained using such locking, which are expressed in terms of throughput, are investigated using a simulation study.
Test d ’ inclinaison : modalités , techniques et résultats C

La prise en charge des syncopes a connu, ces dernières années, de grandes avancées grâce notamment à l’apport du test d’inclinaison et du moniteur électrocardiographique implantable, et à la publication des recommandations des sociétés savantes. Cette prise en charge des patients avec syncope doit comprendre dans tous les cas une anamnèse minutieuse portant sur les antécédents, les circonstances de survenue, la prise de médicaments, ainsi que la présence et la nature d’éventuels symptômes accompagnants. Associé à un examen physique détaillé, une recherche d’hypotension orthostatique et un électrocardiogramme 12-dérivations, ce bilan initial permet d’établir un diagnostic dans environ 50 % des cas. L’entité « syncope inexpliquée » représente les patients chez qui la cause de la syncope reste indéterminée après ce bilan standard. En l’absence de cardiopathie ou d’anomalies électrocardiographiques, la recherche d’une étiologie réflexe de type vasovagal doit être privilégiée. Le test d’orthostatisme prolongé (test d’inclinaison ou tilt test) est l’examen de choix pour diagnostiquer ce type de syncope. Il consiste à analyser la tension artérielle et la fréquence cardiaque d’un patient en décubitus dorsal sur une table pivotante avec une inclinaison de 60° à 70° pendant 30 à 45 minutes. Par un réflexe inhibiteur prenant naissance au niveau des récepteurs sensitifs de la paroi inféropostérieure du ventricule gauche, il peut déclencher une hypotension artérielle et une bradycardie. La survenue simultanée de symptômes permet de poser le diagnostic de syncope vasovagale. Les formes cliniques peuvent être bénignes (simple lipothymie vasovagale) ou malignes, pouvant conduire dans les cas extrêmes à un arrêt circulatoire. Le test d’inclinaison, proposé depuis la fin des années 1980, constitue une avancée considérable dans le diagnostic des syncopes inexpliquées car il objective une origine vasovagale chez environ 50 % des adultes et 60 %-80 % des enfants. Même s’il persiste quelques différences méthodologiques, les mesures générales à respecter lors de la pratique de ce test ont été publiées par un consensus d’experts dès les années 1996. Sa bonne réalisation nécessite l’application d’un protocole d’examen rigoureux et l’utilisation de dispositifs d’acquisition adaptés à la détection de variations rapides des paramètres hémodynamiques.
Evaluation of the Apparent Ileal Digestibility ( AID ) of Protein and Amino Acids in Nursery Diets by In vitro and In vivo Methods

The objective was to evaluate in vitro prediction of ileal digestibility of protein and amino acids (AA) for current nursery pig diets (n = 10) by using pepsin and pancreatin incubations. To compare in vivo ileal digestibility, forty nursery pigs (4 pigs per diet) with an initial BW of 12.2±2.7 kg were surgically equipped with T-cannula in the distal ileum. In all cases, the values of in vitro digestibility were higher than those of in vivo digestibility (p<0.05). With regard to the relationships of essential and non essential AA (CP), the r value was 0.76. With regard to AA, high relationships were observed in Ile, Thr, and Gly (0.85, 0.83, and 0.89, respectively). Also, there was a lower relationship for Arg, Met, Ala, Asp, Glu, Pro, Ser, and Tyr with r values of 0.56, 0.54, 0.40, 0.54, 0.45, 0.24, 0.49, and 0.35, respectively between in vitro and in vivo digestibility. The EAA relationship (r = 0.71) was generally higher than that of NEAA (r = 0.50) numerically. In conclusion, there were strong linear relationships between in vivo and in vitro ileal digestibility (CP, Ile, Thr, and Gly). In vitro prediction of ileal digestibility (CP, Ile, Thr, and Gly) seems to have significant potential for practical application. (
Advanced Analysis of Gene Expression Microarray Data

This book focuses on the development and application of the latest advanced data mining, machine learning, and visualization techniques for the identification of interesting, significant, and novel patterns in gene expression microarray data. Biomedical researchers will find this book invaluable for learning the cutting-edge methods for analyzing gene expression microarray data. Specifically, the coverage includes the following state-of-the-art methods: gene-based analysis - the latest novel clustering algorithms to identify co-expressed genes and coherent patterns in gene expression microarray data sets; sample-based analysis - supervised and unsupervised methods for the reduction of the gene dimensionality to select significant genes. A series of approaches to disease classification and discovery are also described; pattern-based analysis - methods for ascertaining the relationship between (subsets of) genes and (subsets of) samples. Various novel pattern-based clustering algorithms to find the coherent patterns embedded in the sub-attribute spaces are discussed; and visualization tools - various methods for gene expression data visualization. The visualization process is intended to transform the gene expression data set from high-dimensional space into a more easily understood two- or three-dimensional space.
Mise au point Thérapeutiques ciblées dans les leucémies aiguës Targeted therapies for acute leukemias

The prognosis of patients with acute leukemia improved heterogeneously during last decades. Major progresses were obtained in childhood acute lymphoid leukaemia (ALL) with cure rates reaching 80%. In adults, high risk ALL are more frequent and results are less encouraging. Acute myeloid leukaemia (AML) is more frequent in adults with a median age of nearly 70 years. Progresses occurred in younger patients but only 30–40% of them are long term survivors. Therapeutic successes of retinoic acid in acute promyelocytic leukemia and more recently of imatinib in chronic myelogenous leukemia encourage the development of specific therapies targeting leukemic associated differentiation blockade or kinase spontaneous activation. Novel antileukemia therapies also include monoclonal antibodies, antiangiogenesis agents or multidrug resistance mechanisms modulation. Some promising results show the way to more effective and less toxic associations in these diseases. © 2006 Société de réanimation de langue française. Publié par Elsevier SAS. Tous droits réservés. Mots clés : Leucémie aiguë ; Thérapeutique ciblée ; Inhibiteur ; Anticorps monoclonal
LEGO-based VLSI design and implementation of polar codes encoder architecture with radix-2 processing engines

Polar Codes become a new channel coding, which will be common to apply for next-generation wireless MIMO communication systems. In this work, we propose LEGO-based VLSI hardware design and implementation of the Polar encoder using radix-2 processing engines, which features low area cost, low power dissipation, high speed, and high throughput via serial computation. Under TSMC 90nm CMOS technology, the 16384-point LEGO-based radix-2 Polar encoder chip (LB-R2-PE) is designed and synthesized with total area of 0.244mm2 and power dissipation of 366.6mW, operating at maximum frequency of 2.0GHz. In the APR chip implementation point-of-view, the 16384-point LB-R2-PE chip only occupies 0.305mm2 and consumes 357.8mW with maximum operating frequency of 1.61GHz, delivering total throughput of 1.61Gbps.
FEM MODEL OF BIOT ’ S EQUATION FREE FROM VOLUME LOCKING AND HOURGLASS INSTABILITY

A finite element modeling for liquefaction analysis that is free from volume locking and hourglass instability is proposed. Volume locking occurs when no or very small volume change is expected, which occurs under undrained condition or similar in liquefaction analysis, because bulk modulus of water is much larger than that of soil skeleton and volume of porewater hardly changes. On the other hand, hourglass instability occurs under excess reduced integration which is used to avoid volume locking. Proposed finite element formulation is based on so called u-U formulation, and different numerical integration schemes are employed for porewater and soil skeleton: ordinary integration for soil skeleton and reduced integration for all other element matrices. Numerical examples are made to evaluate effectiveness and accuracy of the proposed method by comparing other existing methods. The proposed method is shown to be accurate and also it is free from both volume locking and hourglass instability.
COMPUTER PROCESSING OF MEDICAL DATA BY VARIABLE-FIELD-LENGTH FORMAT.

THE APPLICATION of current methods of computer technology to the processing of medical data can assist the medical community in terms of efficient storage, rapid retrieval, and accurate, immediate analysis of significant clinicial information. Numerical and alphabetic information can be stored permanently with rapid accessibility. These data can be used to produce a compendium that may be continuously enlarged and, in turn, modified by more recently acquired information. The variable-field-length format to be described in this report is directed toward facilitation of the input of information with the ultimate improvement in the quality and utility of the output. The ever-increasing amount of clinical data that can be obtained from a single individual undergoing medical examination makes it increasingly difficult for the physician to encompass the total pertinent information obtained from a patient, and even more difficult for him to correlate the various findings in a large group of patients.
Resident Space Object Feature Identification and Attitude Detection using Hierarchical Mixtures of Experts

Space Domain Awareness (SDA) involves detecting, tracking, identifying and characterizing resident space objects (RSOs). This paper proposes an algorithm based on a Hierarchical Mixture of Experts (HME) for identifying RSO features and determining an RSO’s attitude profile from astrometric and non-resolved photometric observations. This paper discusses the mathematical background of the HME; the assumptions, test scenarios, and results of processing simulated apparent magnitude and angles data. The results show that the HME is capable of detecting the size, shape, reflectivity, and maneuvers performed by an RSO. The HME is also shown to be capable of identifying and distinguishing between nadirpointing, sun-pointing, and spinning objects even though none of the experts in the HME is directly estimating attitude.
Power-Electronics-Based Energy Management System With Storage

This paper demonstrates the functionality of a power-electronics-based energy management system (EMS). The EMS includes batteries and a digitally controlled single-phase voltage source inverter (VSI), which can be controlled as a current source or a voltage source depending on the status of the ac grid and the user's preference. The EMS guarantees that the critical loads are powered when the ac grid fails; in which case, the VSI is controlled as a voltage source. It also accomplishes peak power control by supplying battery power to the local loads while they are powered by the ac grid if the loads get large. The electricity cost savings accomplished by peak shaving are estimated. The EMS functionality is demonstrated by experimental measurements on a laboratory prototype. The control architecture and logic embedded in the EMS are discussed in detail.
The TFOS International Workshop on Contact Lens Discomfort: report of the definition and classification subcommittee.

The Ocular Surface Institute, University of Houston College of Optometry, Houston, Texas Louisiana State University Health Sciences Center, Louisiana State University School of Medicine, Louisiana State University Eye Center, New Orleans, Louisiana HealthPartners Medical Group, Minneapolis, Minnesota Centre for Contact Lens Research, School of Optometry and Vision Science, University of Waterloo, Waterloo, Ontario, Canada Corneal Consultants of Colorado, PC, University of Colorado Medical School, Denver, Colorado La Jolla BioConsulting, San Diego, California Brien Holden Vision Institute, Sydney, New South Wales, Australia Vision Co-operative Research Centre, Sydney, New South Wales, Australia School of Optometry and Vision Science, University of New South Wales, Sydney, New South Wales, Australia
FUZZY BASED THREE-PHASE MULTILEVEL CASCADED H-BRIDGE PV INVERTER WITH DISTRIBUTED MPPT FOR GRID-CONNECTED APPLICATIONS .

Photovoltaic energy conversion becomes main focus of many researches due to its promising potential as source for future electricity and has many advantages than the other alternative energy sources like wind, solar, ocean, biomass, geothermal etc. In Photovoltaic power generation multilevel inverters play a vital role in power conversion. The modular cascaded multilevel topology helps to improve the efficiency and flexibility of PV systems. To realize better utilization of PV modules and maximize the solar energy extraction, a distributed maximum power point tracking control scheme is applied to both singleand three-phase multilevel inverters, which allows independent control of each dc-link voltage. For three-phase grid-connected applications Here we are using the fuzzy controller compared to other controllers i.e. The fuzzy controller is the most suitable for the human decision-making mechanism, providing the operation of an electronic system with decisions of experts. In addition, using the fuzzy controller for a nonlinear system allows for a reduction of uncertain effects in the system control and improve the efficiency. Fuzzy Logic based Intelligent Controller has been implemented for voltage regulation at Point of Common Coupling of Grid connected PV Power System. Simulation and experimental results are presented to verify the feasibility of the proposed approach.
Ikaros Null Mice Display Defects in T Cell Selection and CD4 versus CD8 Lineage Decisions1

Previous evidence suggested that the hemopoietic-specific nuclear factor Ikaros regulates TCR signaling thresholds in mature T cells. In this study, we test the hypothesis that Ikaros also sets TCR signaling thresholds to regulate selection events and CD4 vs CD8 lineage determination in developing thymocytes. Ikaros null mice were crossed to three lines of TCR-transgenic mice, and positive selection, negative selection, and CD4 vs CD8 lineage decisions were analyzed. Mice expressing a polyclonal repertoire or a MHC class II-restricted TCR transgene exhibited enhanced positive selection toward the CD4 lineage. Moreover, in the absence of Ikaros, CD4 development can occur with decreased thresholds of TCR signaling. In addition, CD4 single-positive thymocytes were detected in MHC class I-restricted TCR-transgenic Ikaros null mice. To assess the role of Ikaros in negative selection, we analyzed deletion of T cells induced by conventional Ag or by endogenous superantigen. Surprisingly, negative selection was impaired in Ikaros null thymocytes despite evidence of high levels of TCR signal and no intrinsic defect in apoptosis ex vivo. To our knowledge, these data identify Ikaros as the first nuclear factor that plays a critical role in regulating negative selection as well as CD4 vs CD8 lineage decisions during positive selection.
Disease of the Ear, Nose and Throat in Tropical Africa

THE pattern of disease shows considerable variation in different parts of the world, but most studies have been concerned with variations of malignant disease. A survey of all diseases affecting the ear, nose and throat is of value in the absence of previous reports from this region of Africa. With one oto-rhino-laryngologist in Uganda during the period covered by the survey, there has been a unique opportunity to see and look after all patients attending the ear, nose and throat unit. An attempt has been made to increase the value of this survey by including comparative rates of incidence of disease from figures available in the United Kingdom. In the absence of comprehensive studies of a similar nature, two sources have been used. Rates have been calculated from data published in the Reports of the Institute of Laryngology and Otology in London, relating to the operations performed in the Royal National Throat, Nose and Ear Hospital, and from figures made available by the Oxford Record Linkage Study and Unit of Clinical Epidemiology (Acheson, 1966). The purpose of this paper is to assess the incidence of the surgical conditions seen in an ear, nose and throat unit in tropical Africa. Discussion of individual conditions has been curtailed to include their salient features only, and more detailed reports are in the course of preparation. The present study is based on the case notes of all patients whose names appear in the ear, nose and throat theatre registers of Mulago Hospital during the years i960 to 1965. In the absence of supporting numerical data, the incidence of non-surgical lesions will not be discussed.
Towards a Robust Estimation of Respiratory Rate from Pulse Oximeters

—Objective: Current methods for estimating respiratory rate (RR) from the photoplethysmogram (PPG) typically fail to distinguish between periods of high-and low-quality input data, and fail to perform well on independent “validation” datasets. The lack of robustness of existing methods directly results in a lack of penetration of such systems into clinical practice. The present work proposes an alternative method to improve the robustness of the estimation of RR from the PPG. Methods: The proposed algorithm is based on the use of multiple autoregressive models of different orders for determining the dominant respiratory frequency in the three respiratory-induced variations (frequency, amplitude and intensity) derived from the PPG. The algorithm was tested on two different datasets comprising 95 8-minute PPG recordings (in total) acquired from both children and adults in different clinical settings, and its performance using two window sizes (32 and 64 seconds) was compared with that of existing methods in the literature. Results: The proposed method achieved comparable accuracy to existing methods in the literature, with mean absolute errors (median, 25 th -75 th percentiles for a window size of 32 seconds) of 1.5 (0.3-3.3) and 4.0 (1.8-5.5) breaths per minute (for each dataset respectively), whilst providing RR estimates for a greater proportion of windows (over 90% of the input data are kept). Conclusion: Increased robustness of RR estimation by the proposed method was demonstrated. Signiﬁcance: This work demonstrates that the use of large publicly-available datasets is essential for improving the robustness of wearable-monitoring algorithms for use in clinical practice.
Genetic-algorithm-based image compression technique using pattern classification

In this paper, a genetic algorithm-based image compression technique using pattern classification is introduced. From one hand, the block pattern coding technique classifies image blocks into low-detailed and high-detailed blocks and codes the individual blocks according to their types. On the other hand, a genetic algorithm technique explores a given search space in parallel by means of iterative modification of a population of potenial solutions. The GA operation described here, searches for the optimal threshold(s) for the bi-level or multi level quantization of high detailed image blocks. Comparison of the results of the proposed method with the coding algorithms based on the two level minimum mean square error quantizer reveal that the former method can almost achieve optimal quantization with much less computation than required in the latter case.
Optimised array design for microtremor array studies applied to site classification; comparison of results with SCPT logs

The microtremor method (MTM) using spatial autocorrelation (SPAC) processing is a useful tool for gaining thickness and shear wave velocity (SWV) of sediments. These parameters are essential for site response modeling and regolith classification for earthquake hazard and risk assessments. Complications arise if the wave field is strongly directional (ie. insufficiently averaged in azimuth) or contains multiple Rayleigh modes. Theoretical studies compare the use of triangular, hexagonal and semi-circular arrays and show how the latter is preferable in the presence of strongly directional seismic noise, while the hexagonal array is superior in maximising the range of detectable wavelengths. Both hexagonal and semicircular arrays can identify multiple-mode wave propagation.