Miracle-dz/UniFAR-FTUs huggingface dataset:
Uterine cervical cancer histology image feature extraction and classification

The current study presents the investigation and development of image processing, computational intelligence, fuzzy logic, and statistical techniques for different types of data fusion for a varied range of applications. Raw data, decision level and feature level fusion techniques are explored for detection of pre Cervical cancer (CIN) grades from digital histology images of the cervical epithelium tissues. In previous research, an automated, localized, fusion-based approach was investigated for classifying squamous epithelium into Normal, CIN1, CIN2, and CIN3 grades of cervical intraepithelial neoplasia (CIN) based on image analysis. The approach included medial axis determination, vertical segment partitioning as medial axis orthogonal cuts, individual vertical segment feature extraction and classification, and image-based classification using a voting scheme to fuse the vertical segment CIN grades. This paper presents advances in medial axis determination, epithelium atypical cell concentration feature development and a particle swarm optimization neural network and receiver operating characteristic curve technique for individual vertical segmentbased classification. Combining individual vertical segment classification confidence values using a weighted sum fusion approach for image-based classification, exact grade labeling accuracy was as high as 90% for a 62-image data set.
An Approach of Ontology Oriented SPEM Models Validation

SPEM 2.0 is used to define software and systems development processes and their components. It separates reusable development knowledge base from its application in processes. In this work we present a knowledge oriented approach that supports design of SPEM models with respect of SPEM architecture. The main idea is based on creation three ontologies that are a SPEM ontology, a development knowledge ontology and an ontology of development knowledge application. Ontologies are generated with XSL transformations from UML models and also from SPEM CMOF specification and they are imported into the Protégé for reasoning purposes. At the conclusion paper discusses a future work to increase contributions of this approach.
A High-performance, Reconfigurable Architecture for Restricted Boltzmann Machines

A High-Performance, Reconfigurable Architecture for Restricted Boltzmann Machines Daniel Le Ly Master of Applied Science Graduate Department of Electrical and Computer Engineering University of Toronto 2009 Despite the popularity and success of neural networks in research, the number of resulting commercial or industrial applications have been limited. A primary cause of this lack of adoption is due to the fact that neural networks are usually implemented as software running on general-purpose processors. Hence, a hardware implementation that can take advantage of the inherent parallelism in neural networks is desired. This thesis investigates how the Restricted Boltzmann machine, a popular type of neural network, can be effectively mapped to a high-performance hardware architecture on FPGA platforms. The proposed, modular framework is designed to reduce the time complexity of the computations through heavily customized hardware engines. The framework is tested on a platform of four Xilinx Virtex II-Pro XC2VP70 FPGAs running at 100MHz through a variety of different configurations. The maximum performance was obtained by instantiating a Restricted Boltzmann Machine of 256 × 256 nodes distributed across four FPGAs, which results in a computational speed of 3.13 billion connection-updates-per-second and a speed-up of 145-fold over an optimized C program running on a 2.8GHz Intel processor.
Assessment of liver function status of chickens (Gallus gallus domestica) exposed to factory sites in Nnewi, Anambra State, South Eastern Nigeria

Objective: Nnewi is a growing industrial town in Nigeria and the industries are sited very close to human habitation. Exposure to industrial effluents come with deleterious consequences. The purpose of this study was to investigate the liver function status of chickens exposed to these factory sites in Nnewi Nigeria. Materials and Methods: A total of twenty-nine (29) chicks were allowed to feed from the surrounding homeland of the factory until they aged between four (4) and five (5) months as adult birds (chickens) for the study. The chickens were sacrificed to obtain the blood for analyses. Five (5) ml of blood sample was collected from the heart into plain containers and the serum obtained was used for the estimation of biochemical parameters. Total protein (TP), albumin (ALB), total bilirubin (TB), direct bilirubin (DB), aspartate aminotransferase (AST), alanine aminotransferase (ALT), and alkaline phosphatase (ALP) were assayed using standard laboratory procedures. The data obtained was subjected to statistical analysis using Students t-test using Statistical Package for Social Sciences (SPSS) (version 16) software. Statistical significance was tested at p<0.05. Results: The mean serum TP, ALB, TB and DB levels as well as ALP activity in chickens reared around factory sites were not significantly different when compared with the control chickens (p>0.05), however, the mean serum activities of AST and ALT were significantly elevated in the factory exposed chickens than those of the control chicken (p<0.05). Conclusion: This study found a possible compromise between the liver enzymes and the factory environment which could result in poor growth of the chickens. It is recommended that factories be sited away from the reach of the chickens.
Segmental models with an exploration of acoustic and lexical grouping in automatic speech recognition

Developing automatic speech recognition (ASR) technologies is of significant importance to facilitate human-machine interactions. The main challenges for ASR development have been centered around designing appropriate statistical models and the modeling targets associated with them. These challenges exist throughout the ASR probabilistic transduction pipeline that aggregrates information from the bottom up: in acoustic modeling, hidden Markov models (HMMs) are used to map the observed speech signals to phoneme targets in a frame-by-frame fashion, suffering from the well-known frame conditional independence assumption and the inability to integrate long-span features; in lexical modeling, phonemes are grouped into a sequence of vocabulary words as a meaningful sentence, where out-of-vocabulary (OOV) words cannot be easily accounted for. The main goal of this dissertation is to apply segmental models a family of structured prediction models for sequence segmentation and labeling to tackle these problems by introducing innovative intermediate-level structures into the ASR pipeline via acoustic and lexical grouping. On the acoustic side, we explore discriminative segmental models to overcome some of the limitations of frame-level HMMs, by modeling phonemes as segmental targets with variable length. In particular, we introduce a new type of acoustic model by combining segmental conditional random fields (SCRFs) with deep neural networks (DNNs). In light of recent successful applications of SCRFs to lattice rescoring, we put forward a novel approach to first-pass word recognition that uses SCRFs directly as acoustic models. With
Malaria placentaria submicroscópica por Plasmodium vivax o Plasmodium falciparum: histopatología, células inmunitarias y expresión de genes asociados a hipoxia, apoptosis e inflamación

El efecto de la malaria durante el embarazo ha sido explorado durante varias decadas en Africa y en los ultimos anos en America. En Colombia, la condicion a menudo no se detecta y la infeccion submicroscopica se ha confirmado en alrededor del 50% de las mujeres residentes en zonas de malaria endemica, pero aun es desconocido el efecto que tienen la infeccion plasmodial placentaria sobre la regulacion de la respuesta inmune y el dano placentario.
Performance Evaluation of the Replacement Policies for Pending Interest Table

Information (content) plays an important role in a Named Data Networking (NDN). Hence, an information model is essential in representing information appropriately to supports meaningful information spreading. As a distinction from the current network practice, the NDN shall concentrate on the content itself, rather than the location of the information itself. One important and common feature of NDN is leveraging through its built-in network caches (temporal store) to improve the communication and efficiency of content dissemination. Thus, caching is well thought-out as one of the most crucial features (especially in PIT) of the NDN. Its efficiency is due to it required feature of producing a flexible strategy in deciding what content to store and replace when the PIT overflows. Thus, PIT management in NDN continues being one of the primary concerns of high-speed forwarding. To address this issue, replacement policies, as one of the key factors for determining the effectiveness of a PIT in line with many researcher's haven to propose numerous replacement policies, i.e. LRU, Random and Persistent, which have been projected to attain the improved Interest drop rate, reduce the delay and Interest retransmission as when the PIT is full. However, to the best of our knowledge, there have not been studies that dealt with the performance and evaluation between the mentioned policies under different network topologies. Therefore, in this paper we study the performance of Interest drop rate, delay and Interest retransmission under different network topologies, i.e. Tree, Abilene and Germany when the PIT is full. The significance yearned for this study would be to provide a solid starting point in research directions of new PIT replacement policies for contemporary workload or selectively turning off of fewer used cache ways.
Biomimetic Robotic Artificial Muscles

Thank you for reading biomimetic robotic artificial muscles. As you may know, people have look hundreds times for their favorite readings like this biomimetic robotic artificial muscles, but end up in harmful downloads. Rather than reading a good book with a cup of coffee in the afternoon, instead they juggled with some malicious bugs inside their desktop computer. biomimetic robotic artificial muscles is available in our book collection an online access to it is set as public so you can get it instantly. Our digital library hosts in multiple countries, allowing you to get the most less latency time to download any of our books like this one. Kindly say, the biomimetic robotic artificial muscles is universally compatible with any devices to read.
The Influence of Non-Saccharomyces Species on Wine Fermentation Quality Parameters

In the past, some microbiological studies have considered most non-Saccharomyces species to be undesirable spoilage microorganisms. For several decades, that belief made the Saccharomyces genus the only option considered by winemakers for achieving the best possible wine quality. Nevertheless, in recent decades, some strains of non-Saccharomyces species have been proven to improve the quality of wine. Non-Saccharomyces species can positively influence quality parameters such as aroma, acidity, color, and food safety. These quality improvements allow winemakers to produce innovative and differentiated wines. For that reason, the yeast strains Torulaspora delbrueckii, Lachancea thermotolerans, Metschnikowia pulcherrima, Schizosaccharomyces pombe, and Pichia kluyveri are now available on the market. Other interesting species, such as Starmerella bacillaris, Meyerozyma guilliermondii, Hanseniospora spp. , and others, will probably be available in the near future.
A Methodology for Integrating Information Technology in Software Engineering Education

The discipline of software engineering has been gaining increasing significance in computer science and engineering education. In this chapter, the goal is to describe a systematic approach toward integrating information technologies in software engineering education (SEE), both inside and outside the classroom. A methodology for integrating IT is proposed and explored in the context of SEE, particularly related to the Internet and the Web; in this context, SEE supports a heterogeneous combination of objectivism and constructivism, and aims to be feasibility sensitive. In doing so, the prospects and concerns of incorporating IT in SEE are presented. The potential of integrating IT in SEE is illustrated by examples.
Cultivo de camarón de agua dulce (Macrobrachium rosembergii).

Los camarones de agua dulce del genero Macrobrachium presentan caracteristicas apropiadas para cultivo, ya que los ejemplares adultos son relativamente faciles de mantener en cautiverio, se pueden reproducir en condiciones sencillas de laboratorio y se adaptan facilmente a amplios rangos de temperatura. De los individuos que se obtienen del medio natural o de la cosecha de cultivo, se seleccionan machos y hembras que presenten las mejores caracteristicas morfologicas para conformar los lotes de reproductores a partir de los cuales se generara el pie de cria. En este documento, a partir de la descripcion anatomica del camaron, se presenta una exposicion de los aspectos generales de la biologia de este organismo acuatico, indicando habitos alimenticios, muda y desarrollo, comportamiento reproductivo (caracteristicas de machos, de hembras, de apareamiento y de desove), incubacion y desarrollo embrionario. A continuacion se exponen: las generalidades del desarrollo larval, detallando las caracteristicas diferenciales de los estados larvales, para cuyo efecto se incluyen dibujos explicativos, y el estadio juvenil. En este punto, en el documento se describen las condiciones, en primera instancia, de la cria a nivel de laboratorio, considerando indicaciones acerca de los recipientes utilizados para la cria de las larvas, los tipos de agua empleados en larvicultura, la alimentacion durante el estado larval, refiriendo notas sobre alimento natural y alimento suplementario, la calidad del agua y su mantenimiento, la densidad poblacional recomendada los procedimientos de separacion de postlarvas y aclimatacion, y la cosecha y transporte de postlarvas. Y en segunda instancia las circunstancias de cultivo en estanques, donde se definen las condiciones necesarias para el cultivo, densidad de siembra, alimentacion, crecimiento y supervivencia, y cosecha y produccion. ;Para finalizar se relacionan informaciones generales sobre algunas enfermedades que afectan al camaron de agua dulce, considerando las condiciones que favorecen la presentacion de estos problemas, los agentes causales mas comunes (protozoarios, bacterias, hidrozoarios y hongos) y recomendando tratamientos para el control de las enfermedades en los diferentes estados larvales
Inquiry through Design: Situating and supporting inquiry through design projects in high school science classrooms

This paper describes a model for supporting scientific inquiry situated within a technological design context. This model was the basis for the design of several modules intended for use in high school science classrooms. A study of the classroom use of one module examined the degree to which the module allowed students to engage in the processes of inquiry. Results based on classroom observations, videotape analyses, and interviews with students and teachers, describe how students actively engaged in inquiry processes, including defining the problem they studied, exploring multiple approaches to solving the problem, and using data to justify the effectiveness of their designs.
Geração de Regras de Decisão Fuzzy Utilizando a Teoriados Rough Sets

This paper proposes a new method to automatically generate fuzzy rules based on rough sets teory and fuzzy sets teory. The derived rules are concise with respect to the number of antecedent terms and present high coverage rate. The classi er system based on these fuzzy rules was tailored to discriminate between possibility of classi cation and impossibility classi cation. The proposal was tested with ve public databases provided by University of Wisconsin: the Iris, the Wine, theWisconsin Diagnosis Breast Cancer considering 10 attributes (Wdbc with 10 attributes), the Wisconsin Diagnosis Breast Cancer considering 30 attributes (Wdbc with 30 attributes) and the Wisconsin Prognostic Breast Cancer (Wpbc). The classi cation accuracies obtained for Iris, Wine, Wdbc with 10 attributes, Wdbc with 30 attributes and the Wpbc were 100%, 100%, 99,03%, 98,03 e 93,90%, respectively.
A new estimation methodology for reusable component-based software development projects

V111 Chapter 1:. Introduction 1 Chapter 2: Statement of the Dissertation Problem 5 Chapter 3: Requirements for a Successful Estimation Methodology 14 Issues 23 Chapter 4: Component-Based Development Background 26 What is a Component? 26 Functional Component Description 27 Data Component Description 28 An Example of a Component-Based Development System 31 Programming Language Considerations 38 Component Reusability 40 Chapter 5: Overview of Existing Estimation Models 42 The COCOMO Model 45 Function Point Analysis Model 48 Software Lifecycle Model (SLIM) 52 Feature Point Analysis Model 54 GUI Point Analysis Model 57 COSTMO-4GL Model 58 COCOMO II Model 60 Chapter 6: Suitability of Existing Estimation Methodologies to Component-Based 65 Software Development and Successful Estimation Characteristics Use of Source Lines of Code 65 Use of Function Points 67 Use of Components/Objects 73
Passive acoustic monitoring as a potential tool to survey animal and ecosystem processes in freshwater environments

Biodiversity in freshwater habitats is decreasing faster than in any other type of environment, mostly as a result of human activities. Monitoring these losses can help guide mitigation efforts. In most studies, sampling strategies predominantly rely on collecting animal and vegetal specimens. Although these techniques produce valuable data, they are invasive, time‐consuming and typically permit only limited spatial and temporal replication. There is need for the development of complementary methods. As observed in other ecosystems, freshwater environments host animals that emit sounds, either to communicate or as a by‐product of their activity. The main freshwater soniferous groups are amphibians, fish, and macroinvertebrates (mainly Coleoptera and Hemiptera, but also some Decapoda, Odonata, and Trichoptera). Biophysical processes such as flow or sediment transport also produce sounds, as well as human activities within aquatic ecosystems. Such animals and processes can be recorded, remotely and autonomously, and provide information on local diversity and ecosystem health. Passive acoustic monitoring (PAM) is an emerging method already deployed in terrestrial environments that uses sounds to survey environments. Key advantages of PAM are its non‐invasive nature, as well as its ability to record autonomously and over long timescales. All these research topics are the main aims of ecoacoustics, a new scientific discipline investigating the ecological role of sounds. In this paper, we review the sources of sounds present in freshwater environments. We then underline areas of research in which PAM may be helpful emphasising the role of PAM for the development of ecoacoustics. Finally, we present methods used to record and analyse sounds in those environments. Passive acoustics represents a potentially revolutionary development in freshwater ecology, enabling continuous monitoring of dynamic bio‐physical processes to inform conservation practitioners and managers.
Functionality assignment to partitioned multi-core architectures

An embedded system is a microprocessor based system that usually performs a predefined set of tasks related to monitor or control of an electrical/mechanical equipment. Given the increased complexity of the embedded systems both in software and hardware, functionality assignment becomes difficult to deal with when safety, schedulability, efficient use of hardware resources and communication networks are required. The thesis focuses on software functionalities as defined in AUTOSAR1 which is an automotive standard for Electronic Control Unit (ECU) software development. The goal of AUTOSAR (AUTomotive Open System ARchitecture) is to establish a standardized model of development that makes it possible for software developers to create reusable, safety and hardware independent software components. The objective of this thesis is to propose an algorithm based on simulated annealing heuristic for the mapping of functions with different safety integrity levels onto integrated architectures composed of multi-core systems. We will consider an architecture composed of a multi-core ECUs running AUTOSAR OS with fixed-priority preemptive scheduling. A mapping tool has been developed that takes as input an application model of the AUTOSAR software components and an architecture model of multi-core ECUs and determines: • A mapping of software components to ECUs. • A mapping of functionalities or AUTOSAR runnables to ECU cores. • A mapping of functionalties/runnables to AUTOSAR Os-Tasks. • A mapping of Os-Tasks to AUTOSAR Os-Applications. 1http://www.autosar. org/
Phytochemicals and Their Antifungal Potential against Pathogenic Yeasts

The rate of fungal infections is increasing rapidly, and pathogenesis of their species is poorly understood. Among fungi, Candida species are a major cause of morbidity and mortality worldwide and thus represent a serious threat to public health. In addition, Cryptococcus spp. are yeasts responsible for serious lung infections and meningitis. Polyenes, fluoropyrimidines, echinocandins, and azoles are used as commercial antifungal agents to treat fungal infections. However, the presence of intrinsic and developed resistance against azole antifungals has been extensively documented. The re-emergence of classical fungal diseases has occurred because of the increment of the antifungal resistance phenomenon. In this way, the development of new satisfactory therapy for fungal diseases persists as a major challenge of present-day medicine. The urgent need includes the development of alternative drugs that are more efficient and tolerant than those traditional already in use. The identification of new substances with potential antifungal effect at low concentrations or in combination is also a possibility. This chapter briefly examines the infections caused by Candida and Cryptococcus species and focuses on describing some of the promising alternative molecules and/or substances that could be used as antifungal agents, their mechanisms of action, and their use in combination with traditional drugs.
Semantic Relation among Spatial Objects for Situation-Aware Services in Interactive Smart Spaces

In projector-camera based interactive smart spaces, information about spatial relation among users and nearby objects is crucial in order to find the most suitable surfaces on which situation-aware information will be augmented. This paper describes a spatial context management system that continuously tracks semantic relations among spatial objects for situationaware services in interactive smart spaces. Our contribution is twofold. First, we propose a zone-space model for supporting flexible dynamic collaboration among multiple depth cameras and a seamless handover scheme between the adjacent zones for supporting not-contact people tracking without shadow area. Second, we present three types of spatial operators based on a 3D spatial object model to understand and/or detect various situations in space by querying semantic relations among objects within the space. Experiment results show that our people location tracking scheme shows good performance on both position errors and success rate of handover between adjacent trackers. We also verify the correct functions of the overall system by implementing a proof-of-concept scenario i.e. the smart memo service. Keywords— smart space; interactive space; projector-camera system; spatial relation; locaiton tracking; situation-aware