Miracle-dz/UniFAR-FTUs huggingface dataset:
mmonia gas sensors based on polypyrrole films : Influence of electrodeposition arameters

A gas sensor consisting in polypyrrole films electrochemically deposited on microelectrodes arrays was fabricated using silicon microtechnologies. Polypyrrole was electrodeposited on platinum microelectrodes using four different electrodeposition potentials, five counter-ions and three salt concentrations to assess the effects of these parameters on the sensing properties of polypyrrole films. The change in conductance of thin polymer layers, due to adsorption of ammonia gas, was used as a sensor signal. The behaviors of the polymer-based gas sensors, including response time, response amplitude, reproducibility eywords:
Do Communities Really “Direct” in Community-Directed Interventions? A Qualitative Assessment of Beneficiaries’ Perceptions at 20 Years of Community Directed Treatment with Ivermectin in Cameroon

Recent studies in Cameroon after 20 years of implementation of the Community Directed Treatment with ivermectin (CDTI) strategy, revealed mixed results as regards community ownership. This brings into question the feasibility of Community Directed Interventions (CDI) in the country. We carried out qualitative surveys in 3 health districts of Cameroon, consisting of 11 individual interviews and 10 Focus Group Discussions (FGDs) with specific community members. The main topic discussed during individual interviews and FGDs was about community participation in health. We found an implementation gap in CDTI between the process theory in the 3 health districts. Despite this gap, community eagerness for health information and massive personal and financial adhesion to interventions that were perceived important, were indicators of CDI feasibility. The concept of CDI is culturally feasible in rural and semi-urban settlements, but many challenges hinder its actual implementation. In the view of community participation as a process rather than an intervention, these challenges include real dialogue with communities as partners, dialogue and advocacy with operational level health staff, and macroeconomic and political reforms in health, finance and other associated sectors.
In vitro study of bovine uterine contractility at various stages of pregnancy

The uterus is the organ of pregnancy, a time when it undergoes profound, largely reversible changes to facilitate foetal growth. Hence, during pregnancy, the control exercised by progesterone (P4), together with metabolic and neural changes, keep it in a relative dormant state. It has been shown that despite P4 secretion throughout pregnancy, the uterus does not remain quiescent, but displays contractile activity in women, ruminants, monkeys, guineapigs, rats and rabbits. In pregnant cows uterine contractility has been proven in vivo. Kündig et al. described the contractions produced by the bovine uterus around parturition through pressure microsensors and electrodes implanted in the pregnant horn. They stated that approximately 3 weeks before calving, the frequency was 0.3 to 0.5 contractions/h, lasting 3 to 30 min, and their amplitude ranged from 60 to 80 mmHg in the caudal part of the uterus, and from 20 to 40 mmHg in its cranial part. In late-pregnant cows, Taverne et al. confirmed these findings with similar instruments. They used the term “contracture” to describe low-frequency (13.6 ± 0.9 contractures/d), long-lasting (12.1 ± 0.3 min) bursts of uterine activity during the last weeks of pregnancy, and to differentiate them from the contractions distinctive of labour. The onset of these contractions, in several species, is made possible by the presence of interstitial Cajal cells (ICC) in the myometrium. These cells are closely associated with axons, smooth muscle cells, immune cells in capillaries and connective tissue, giving the myometrium the inherent capacity to generate spontaneous contractions of myogenic origin. Indeed, their position would give ICCs an important modulatory role in neurotransmission and immune regulation. Moreover, the myometrium is able to contract/relax even under the action of hormonal or neuronal stimuli that may exert an important contractility-modulating action. In this regard, several in vitro studies highlight the importance of hormones and neurotransmitters on uterine contractions, in pregnant and non-pregnant cows. However, those Authors evaluated the effects of these substances in only a few phases of bovine pregnancy (earlyor lateM. Piccinno et al. Large Animal Review 2016; 22: 173-178 173
A Compilation Strategy for the Habit Programming Language

The Habit programming language is a dialect of Haskell [6] that has been designed to support the development of high quality systems software components such as operating system kernels and device drivers. The Habit report [7] explains the background and motivation for the language design and also provides technical material including an annotated grammar for the language, an overview of the standard environment, and an extended programming example to show how the language can be used in practice.
2 Stalking and Social Media : a Reading Practice

The term “stalking” is emerging in social networks to indicate a wide range of reading practices aimed to gain insight on a subject. As a new type of reading, stalking does not always have a negative connotation and it is not limited to the personal sphere but ranging from ludic to professional aims. Considering the preliminary results of a case study in the READ-IT project, this contribution wishes to engage the hypertext research community in considering stalking as a type of reading activity emerging from the unique features and context of social networks related to “stalkers” as hypertext readers, “stalked” as a type of contents and social networking platforms as a type of medium and environment of reading.
EPA Research Programme 2014 – 2020 Assessing Recent Trends in Nutrient Inputs to Estuarine Waters and Their Ecological Effect ( 2012-WFS-9 ) EPA Final Report

EPA-ReportCover-184-Jul16-v2.indd 1 22/09/2016 17:33 www.epa. ie Identify pressures The factors and processes controlling the export of diffuse and point source pollution from land to surface water have been the focus of a number of large-scale research projects in the recent decades, and, as a result, are well understood in the Irish environment. During the current project, load apportionment modelling was used to identify nutrient pressures in the Blackwater catchment. National load apportionment outputs were also determined through collaboration with the EPA-funded Catchment Management Support Tools (CMST) Project, which aims to model temporal nutrient transfers to Irish catchments. The research outputs have increased our understanding of nutrient pressures on Irish estuarine and coastal waters.
Calcination and sintering effects on the microstructure and dielectric properties of CaCu 3 Ti 4 O 12 ceramics

CaCu3Ti4O12 (CCTO) ceramics were fabricated by a conventional solid-state reaction at various calcination and sintering temperatures. Depending on the relative dielectric constant (ε r ) at 1 kHz, the specimens can be categorized into three types: type A (ε r < 5 × 10), type B (5 × 10 < ε r < 10) and type C (ε r > 10). The value of ε r is closely related to the microstructure: type-A specimens show a morphology with large grains embedded in a small-grained matrix, type-B specimens present a network structure and type-C specimens display a core-shell structure. Different dielectric loss variation tendencies are observed in the type-A specimens, which can be well explained by impedance spectroscopy analysis and further confirmed by the EDX results. Also, the proper calcination and sintering temperature ranges needed to achieve good comprehensive properties are given.
DATA ANALYSIS AND INTERPRETATION 4 . 1 Quantitative Data Analysis

In an environment where people are constantly looking for and finding smarter and more efficient ways to address their needs, understanding the customer; both existing and potential is of prime importance for a marketer. When it comes to marketing products that have a high involvement for the customers, like a motorbike, this understanding becomes even more crucial. There are several ways of classifying the unique needs people, profiling being a commonly used way. In this study, a very unconventional mode of profiling customers based on their own perception about the kind of relationship they share with their motorbike is used. A mixed methodology research approach is used in this study. The primary data is collected through a questionnaire, and semi-structured interviews, which were formulated after an extensive study of the existing literature. The survey sample size is 100 respondents who own a motorbike. The 14 motorbike owners who participated in the interview are a different sample from the survey sample. The primary data from the questionnaire is analysed using the factor analysis, cluster analysis, discriminant analysis and the KANO model. The semi-structured interviews were analysed using the cluster analysis. The profiles or segments made in this study are based entirely on the findings and the analysis of primary data. Keywords— Consumer Behaviour, Motorbike Owners, Perception, Profiling, Product Attributes
Architecture of Task Manager for Real Time OS Explaining Real Time Operating Systems Issues

Complications of embedded applications are increasing. Within due time delivery to the market is also a pressure. So, the demand and use of real time operating systems is also increasing. However, it is an redundant fact that the Real Time Operating System (Real Time OS) can significantly degrade the performance. To face performance degradation, a Real-Time Task Manger (RTTM) has been presented in this paper. The Real-Time Task Manger is a hardware based extension to the processor that decreases performance bottleneck attributed to Real Time Operating System. Real-Time Task Manger decreases these performance bottlenecks introduced by Real Time Operating System by its hardware based architecture. The architecture of Real-Time Task Manger is being discussed in this paper provides an aid to deal with some common operations of Real Time Operating System that reason the performance degradation. For example event management, time management, and task scheduling. These operations have a property of some inborn parallelism. The Real-Time Task Manger uses this property to complete these operations in a constant time, and as a result, minimizes the overhead introduced by Real Time Operating System. The proposed architecture yields two benefits: It reduces the processor time taken by Real Time Operating System, and improves the response time to a considerable amount.
Design and Perform Evaluation of a Drone Localization System Using Its Wi-Fi Signal

An unmanned aerial vehicle (UAV), commonly known as a drone, is an aircraft without a human pilot aboard. Along with the development of Civilian drones, drone flight is becoming a theme of eye-catching topic in recent years. Although drones have brought significant benefits to people’s lives, they also possess certain danger without proper regulations. To prevent unexpected accidents caused by UAV, the localization technology of drone flying in open areas need to gain significant attention. In this paper, two algorithms which are improved maximum likelihood estimation (MLE) and recursive least squares (RLS) have been introduced based on received signal strength (RSS) localization technology to address the location of drone using their Wi-Fi signal transmitted for communication with the controller. An experiment is conducted in the campus open areas to simulate the 3D RF propagation model and these two algorithms. Two algorithms performance have been compared with each other and also compared with the Cramer-Rao Lower Bound (CRLB). By analyzing the result, we conclude that the improved MLE algorithms performs better than RLS in drone localization and the performance of these two algorithms are both impacted by the number of base stations (BS) and the height of drone.
Patch textures: hardware implementation of mesh colors

Mesh colors provide an effective alternative to standard texture mapping. They significantly simplify the asset production pipeline by removing the need for defining a mapping and eliminate rendering artifacts due to seams. This paper addresses the problem that using mesh colors for real-time rendering has not been practical, due to the absence of hardware support. We show that it is possible to provide full hardware texture filtering support for mesh colors with minimal changes to existing GPUs by introducing a hardware-friendly representation for mesh colors that we call patch textures. We discuss the hardware modifications needed for storing and filtering patch textures.
A Solution for Integrating Layer 2 Controllable Audio Devices into a Layer 3 Network

AVB is an emerging layer 2 networking technology that allows for deterministic and guaranteed delivery of time sensitive data. This technology has been published by the IEEE. Also published by the IEEE is the IEEE 1722 standard which is a solution for encapsulating media for transmission on AVB networks. A IEEE 1722.1 working group was established to define a layer 2 standard for interoperability between networked AVB devices. As the IEEE 1722.1 working group strives to address interoperability between networked AVB devices, there remains the issue of interoperability between devices that conform to this developing standard (IEEE 1722.1) and those of already existing protocols. This paper presents a solution that allows devices that implement the proposed IEEE 1722.1 layer 2 control protocol to be controlled by an existing layer 3 protocol.
Data Mining using Fuzzy Methods

Data mining is the focal venture in a procedure called learning revelation in databases, to be specific the step in which displaying strategies are connected. A few exploration territories like measurements, computerized reasoning, machine learning, and delicate figuring have added to its weapons store of strategies. In this paper, nonetheless, we concentrate on fluffy techniques for principle learning, data combination, and reliance examination. As we would like to think fluffy methodologies can assume an imperative part in information mining, in light of the fact that they give conceivable results (despite the fact that this objective is regularly dismissed perhaps in light of the fact that it is here and there difficult to accomplish with different routines). What's more, the methodologies examined in information mining have predominantly been situated at exceedingly organized and exact information. Notwithstanding, we expect that the investigation of more perplexing heterogeneous data source like writings, pictures, guideline bases and so forth. Will get to be more critical sooner rather than later. Hence we give a point of view toward data mining, which we see as an expansion of information mining to treat complex heterogeneous data sources, and contend that fluffy frameworks are helpful in meeting the difficulties of data mining.
Multimorbidity care model : Recommendations from the consensus meeting of the Joint Action on Chronic Diseases and Promoting Healthy Ageing across the Life Cycle ( JA-CHRODIS )

Patients with multimorbidity have complex health needs but, due to the current traditional disease-oriented approach, they face a highly fragmented form of care that leads to inefficient, ineffective, and possibly harmful clinical interventions. There is limited evidence on available integrated and multidimensional care pathways for multimorbid patients. An expert consensus meeting was held to develop a framework for care of multimorbid patients that can be applied across Europe, within a project funded by the European Union; the Joint Action on Chronic Diseases and Promoting Healthy Ageing across the Life Cycle (JA-CHRODIS). The experts included a diverse group representing care providers and patients, and included general practitioners, family medicine physicians, neurologists, geriatricians, internists, cardiologists, endocrinologists, diabetologists, epidemiologists, psychologists, and representatives from patient organizations. Sixteen components across five domains were identified (Delivery of Care; Decision Support; Self Management Support; Information Systems and Technology; and Social and Community Resources). The description and aim of each component are described in these guidelines, along with a summary of key characteristics and relevance to multimorbid patients. Due to the lack of evidence-based recommendations specific to multimorbid patients, this care model needs to be assessed and validated in different European settings to examine specifically how multimorbid patients will benefit from this care model, and whether certain components have more importance
Study of Coumarin Content of Pelargonium fragrans-Willd . Root Grown in Egypt

Three coumarins viz; C1 (Umbelliferone), C2 (Umckalin) and novel coumarin glycoside C3, were isolated from Pelargonium fragrans Willd root. Isolated compounds were identified on the basis of their physicochemical, UV spectral data, H-NMR, C-NMR and EIMS. These compounds were isolated for the first time from the plant. Significant antiwormal effect on fresh earthworms (Allolobophora caliginosa), remarkable antioxidant activities and strong antifungal activity were recorded on the extract, fractions and isolated compounds. [K.M. Meselhy. Study of Coumarin Content of Pelargonium fragrans Willd. Root Grown in Egypt. Life Sci J 2013;10(1):159-164] (ISSN:1097-8135). http://www.lifesciencesite. com. 23
A Service Oriented Architecture to support the federation lifecycle management in a secure B 2 B environment

This paper presents a Service Oriented Architecture to manage the lifecycle of a federation in a secure Business to Business (B2B) environment. The main contribution of the authors to Grid and SOA communities is related to the definition and development of a set of design patterns and software components to support the creation, management and dissolution of a federation of different administrative domains. As case of study we present the application of our components to a concrete business scenario relating to the on-line game application provision, providing also an overview of the main business benefits assessed during the evaluation of the components.
Spring 5-3-2019 Lattices in Cryptography

The computers that exist throughout the world today, rely on two values, 0 and 1 to work and run. Quantum computers, on the other hand, uses qubits which are quantum objects that can be in either a 0 or 1 state, or even a superposition of 0 and 1 state. Quantum computers do not necessarily make traditional computer algorithms run faster, but rather lets us come up with new algorithms specifically for quantum computers that will be faster than traditional computers. Quantum computer algorithms are designed to make full use of superpositional states. These quantum computers will be able to break commonly used public key cryptosystems such as RSA, DSA, and other practical ones as well. Some physicists predict that quantum computers will become powerful enough in the next 10 years to break these existing public key cryptosystems. As a result, a new field of research in post quantum cryptography is on the rise. One of the most well known and researched post-quantum cryptography schemes are ones that revolved around lattices.
On the Precise Examination of Multi-Port Antennas; Corrections and Criticisms to Some Recently Reported Results

In this paper, precise examination of multi-port antennas with large mutual coupling between the ports is studied. For this purpose, some vital parameters such as active reflection coefficients and realised gain are emphasized. The main motivation of this research is the ignorance of this issue in several recently published papers. Hence, corrections and criticisms to some recently reported results are presented. At first, a microstrip patch consisting of two inverted U-slots is re-examined, which has been proposed in a recently published paper for wideband applications. However, the authors did not present satisfactory results to indicate the performance of the proposed structure. In reverse, some important parameters such as the antenna gain appear to be incorrectly reported. In this paper, the characteristics of the antenna are compared with a simple 50 Ω microstrip line excited by two probes, indicating no significant differences. In the remainder of this paper, some corrections are provided on two examples of wide-beam circularly polarised multi-fed antennas for satellite applications. The first example is the multi-fed spiral antennas with folded arms, which have been proposed as the widebeam antennas at 435 MHz. It is indicated that the antenna height should be increased for better performance. The second example is the quadrifilar square helical antennas with folded arms, which have been proposed as the widebeam antennas for 435 MHz with minor responses at 145 MHz. Some corrections are presented on the previously reported minor responses at 145 MHz.
User Adaptive Post-Processing in Speech Recognition for Mobile Devices

In this paper we propose a user adaptive post-processing method to improve the accuracy of speaker dependent, isolated word speech recognition, particularly for mobile devices. Our method considers the recognition result of the basic recognizer simply as a high-level speech feature and processes it further for correct recognition result. Our method learns correlation between the output of the basic recognizer and the correct final results and uses it to correct the erroneous output of the basic recognizer. A multi-layer perceptron model is built for each incorrectly recognized word with high frequency. As the result of experiments, we achieved a significant improvement of 41% in recognition accuracy (41% error correction rate).
The impact of customer experience on customer behavior intention use in social media commerce, an extended expectation confirmation model: An empirical study

Article history: Received: June 11, 2019 Received in revised format: June 29 2019 Accepted: July 4, 2019 Available online: July 4, 2019 This paper aims to develop an integrated model designed to predict and explain a customer behavior intention use of s-commerce based on the concepts of customer experience (CE) and expectation confirmation model (ECM). This paper proposes a comprehensive model to synthesize the essence of CE and ECM to describe customer behavior intention use of s-commerce. The participants are from 311 users of s-commerce as the final sample. Structural equation modeling is applied to demonstrate the stability of the proposed model and the results of hypotheses testing. This paper finds that costumer experience significantly influenced perceived usefulness, expectation and satisfaction, while the perceived usefulness and expectation simultaneously influenced customer satisfaction. Expectation also significantly influences motivator of perceived usefulness. Meanwhile perceived usefulness and satisfaction both significantly influence behavior intention use of s-commerce directly. There are some limitations in this study which should be improved in the future. Extended ECM is evaluated in a country setting, which limits generalizations. © 2019 by the authors; licensee Growing Science, Canada