Miracle-dz/UniFAR-FTUs huggingface dataset:
Mathematical Analysis on an Asymmetrical Wavy Motion of Blood under the Influence Entropy Generation with Convective Boundary Conditions

In this article, we discuss the entropy generation on the asymmetric peristaltic propulsion of non-Newtonian fluid with convective boundary conditions. The Williamson fluid model is considered for the analysis of flow properties. The current fluid model has the ability to reveal Newtonian and non-Newtonian behavior. The present model is formulated via momentum, entropy, and energy equations, under the approximation of small Reynolds number and long wavelength of the peristaltic wave. A regular perturbation scheme is employed to obtain the series solutions up to third-order approximation. All the leading parameters are discussed with the help of graphs for entropy and temperature profiles. The irreversibility process is also discussed with the help of Bejan number. Streamlines are plotted to examine the trapping phenomena. Results obtained provide an excellent benchmark for further study on the entropy production with mass transfer and peristaltic pumping mechanism.
Comparing Web Accessibility Evaluation Tools and Evaluating the Accessibility of Webpages: Proposed Frameworks

With the growth of e-services in the past two decades, the concept of web accessibility has been given attention to ensure that every individual can benefit from these services without any barriers. Web accessibility is considered one of the main factors that should be taken into consideration while developing webpages. Web Content Accessibility Guidelines 2.0 (WCAG 2.0) have been developed to guide web developers to ensure that web contents are accessible for all users, especially disabled users. Many automatic tools have been developed to check the compliance of websites with accessibility guidelines such as WCAG 2.0 and to help web developers and content creators with designing webpages without barriers for disabled people. Despite the popularity of accessibility evaluation tools in practice, there is no systematic way to compare the performance of web accessibility evaluators. This paper first presents two novel frameworks. The first one is proposed to compare the performance of web accessibility evaluation tools in detecting web accessibility issues based on WCAG 2.0. The second framework is utilized to evaluate webpages in meeting these guidelines. Six homepages of Saudi universities were chosen as case studies to substantiate the concept of the proposed frameworks. Furthermore, two popular web accessibility evaluators, Wave and SiteImprove, are selected to compare their performance. The outcomes of studies conducted using the first proposed framework showed that SiteImprove outperformed WAVE. According to the outcomes of the studies conducted, we can conclude that web administrators would benefit from the first framework in selecting an appropriate tool based on its performance to evaluate their websites based on accessibility criteria and guidelines. Moreover, the findings of the studies conducted using the second proposed framework showed that the homepage of Taibah University is more accessible than the homepages of other Saudi universities. Based on the findings of this study, the second framework can be used by web administrators and developers to measure the accessibility of their websites. This paper also discusses the most common accessibility issues reported by WAVE and SiteImprove.
Power Beacon-Assisted Energy Harvesting Wireless Physical Layer Cooperative Relaying Networks: Performance Analysis

In this research, we proposed and investigated the physical layer system called the full-duplex (FD) power beacon-assisted (PB) energy harvesting (EH) relaying cooperative network. The system model has one PB node, one destination (D), one source (S), and one relay (R) node. We investigated the system performance in terms of outage probability (OP) and system throughput (ST) with the power-splitting (PS) protocol in both delay-tolerant (DTT) and delay-limited (DLT) transmission modes. Moreover, the optimal power splitting (PS) factor in both DDT and DLT modes is proposed and derived. Finally, the mathematical closed-form expressions of the OP and ST are derived by using the Monte Carlo simulation with the help of MATLAB software. From the results, it can be observed that the analytical values and simulation values are the same in the effect of the main system parameters.
Improving Path Planning Methods in 2D Grid Maps

: Path planning for 2D grid maps has been studied for a long time, however the substantial leaps have just been achieved with recent series of Theta* variations, which allow the found path more efficient and realistic. Since the search is on grid, optimality is not guaranteed by incremental searching methods including Dijkstra, A*, Theta* and their variations like A*-PS, Lazy-Theta*, etc. In this paper, we present several attempts of improving sub-optimal path planning techniques in 2D grid maps. The combination of these attempts has reached results that are asymptotic to the optimal solution in terms of path length. The runtime for this method is much lower compared to that of the brute-force A* on Visibility Graphs.
Refin-Align: New Refinement Algorithm For Multiple Sequence Alignment

In this paper, we present Refin-Align a new refinement algorithm for a multiple sequence alignment. Refining alignment consists on constructing a new more accurate multiple sequence alignment from an initial one by applying some modifications. Our refinement algorithm Refin-Align uses a new definition of block and also our multiple sequence alignment algorithm Pro-malign. We assess our algorithm Refin-Align on multiple sequence alignment constructed by different algorithms using different benchmarks of protein sequences. In the most cases treated, our algorithm improves the scores of the multiple sequence alignment.
A Learning Linguistic Teaching Control for a Multi-Area Electric Power System

This paper presents a new methodology for designing a neuro-fuzzy control for complex physical systems. By developing a Neural -Fuzzy system learning with linguistic teaching signals. The advantage of this technique is that, produce a simple and well-performing system because it selects the fuzzy sets and the numerical numbers and process both numerical and linguistic information. This approach is able to process and learn numerical information as well as linguistic information. The proposed control scheme is applied to a multi-area power system with hydraulic and thermal turbines.
Mohammad Darvishi 2.pmd

S. aureus Urinary Tract Infections had emergence of resistance against commonly used antibiotics and especially methicillin. The present investigation was done to study the prevalence rate and antibiotic resistance pattern of the MRSA strains isolated from immunosuppressive patients suffered from UTIs. One-hundred and twenty urine samples were collected and cultured. Those that were positive for S. aureus, were subjected to PCR and disk diffusion method. Of 120 urine sample studied, 10 samples (8.33%) were positive for S. aureus. Prevalence of MRSA among the bacterial isolates was 5.83%. MRSA strains had the highest levels of resistance against ampicillin (100%), penicillin G (100%), tetracycline (85.71%), ciprofloxacin (85.71%), amikacin (71.42%) and trimethoprimsulfamethoxazole (71.42%). The lowest levels of resistance were seen against imipenem (14.28%) and clindamycin (28.57%). Considering the high prevalence of MRSA and its emergence for antibiotic resistance, rapid identification of infected immunosuppressive patients and their quick treatment with imipenem and clindamycin are recommended.
One mandate, many voices? Moving the “speaking with a single voice” debate forward through an issue-specific analysis of the EU's bargaining effectiveness at multilateral conferences

Recent academic scholarship explored the effects of variation in the EU’s internal cohesiveness, defined as representing a consistent position with a single voice, on its ability to influence outcomes of multilateral negotiations. While some scholars postulate a positive relationship between the degree of the EU’s internal cohesiveness and its success in multilateral negotiations, others contend that cohesiveness either obstructs the EU’s goal attainment, or does not have any effect at all. By tracing the EU’s cohesiveness at the 2015 NPT Review Conference we are able to demonstrate how the EU’s varying cohesiveness across bargaining issues impacted on overall bargaining dynamics and thereby increased or reduced the chances EU to influence the Draft outcome document and of finding overall consensus on an outcome document.
IAFP: Integration of Apriori and FP-Growth Techniques to Personalize Data in Web Mining

Mining frequent patterns in transaction databases, time-series databases, and many other kinds of databases has been studied popularly in data mining research. Most of the studies adopt an Apriori-like candidate set generation-and-test approach. However, the candidate set generation is still costly, especially when there exist a large number of patterns and/or long patterns. Frequent-pattern tree (FP-tree) structure, which is an extended prefix -tree structure for storing compressed, crucial information about frequent patterns, and develop an efficient FPtree based mining method, FP-growth, for mining the complete set of frequent patterns by pattern fragment growth. Training dataset repeatedly produces massive amount of rules. It’s very tough to store, retrieve, prune, and sort a huge number of rules proficiently before applying to a classifier. In such situation FP is the best choice but problem with this approach is that it generates redundant FP Tree. In this paper, the limitation of these two methods and an integrated techniques of both Apriori and FPGrowth, is used to overcome the limitation of existing methods.
EuroNGI Internet Links for / with Spacecraft

The application perspectives of using internet protocols (IP) in space attracted significant development efforts in projects like CANDOS and OMNI [1], or investigations from CISCO [2]. These missions contributed significant steps of using standardised internet components in the space environment. These developments benefit from the elaborately tested and already available solutions from terrestrial networks, but nevertheless raise additional challenging requirements specific to space applications due to signal propagation delays and increased noise levels. The University of Wuerzburg contributed the dedicated satellite UWE-1 for this research purpose in the framework of the cubesat program [3]. UWE-1, the University Wuerzburg ́s Experimental satellite was launched on the 27 of October 2005. One of his main objectives was the execution of communication experiments in space regarding different adaptions of protocol parameters [4]. This mission has proved in orbit, that the experiments with internet protocols on a pico satellite can provide interesting results at very limited costs. This opened now interesting perspectives to further develop the UWE platform to realise more complex scenarios of IP in space. That development is very important for the next generation of pico satellites, where a swarm consisting of several pico satellites is to be realised. This way, payloads can benefit from the related distributed sensor networks in space for fault tolerant, robust remote observations. In this way, virtual instruments can take advantage from satellite motions and long baselines resulting in a high resolution after data processing. In this case, usage of standard internet algorithms is very helpful to guarantee a stable, robust and flexible connection between satellites and the groundstation.
Do I belong here?: Describing identities of participation and non-participation in a contentious "board" meeting

In University Modeling Instruction, small groups work on a problem and then hold a student-led whole-class discussion (“board” meeting) to develop consensus. In practice, some students regularly contribute more to these discussions than others, and end of course evaluations indicate not all students value them. To better understand those two phenomena, we had students in a university modeling classroom write about their experience after a particularly contentious board meeting. Because this highly participationist pedagogy requires students to be social while learning, we modeled the UMI classroom using Wegner’s “Communities of Practice”. In particular, to analyze student responses, we developed a preliminary code based on Wegner’s social ecologies of identity framework describing student identities of participation and non-participation situated in the context of different modes of belonging within a community of practice. Student responses were sorted into three broad categories based on their descriptions of their experience during the board meeting. We developed our preliminary code by analyzing one student response from each of the three different categories. Initial coding of these three students’ responses reveals a rich description of their different experiences during a contentious board meeting in the UMI classroom. Our intention is to continue coding the remaining student responses to further develop a robust description of this particular contentious board meeting. In building this descriptive model of student participation, we seek to develop a predictive model to inform professional development for instructors who teach with this pedagogy.
Volume 4 No: 3 (2019) Evaluation of Modern Agricultural Technologies Adoption and Impact of Adoption on Productivity

Bringing about change in agricultural productivity through technology adoption is still an issue in developing countries, so is not different for Ethiopia. The study examines the determinants for adoption of agricultural technologies mainly chemical fertilizer and improved seed. It is pertinent to understand the determinants of the adoption decision of the technologies. The bivariate probit estimation result reveal that household characteristics like household size and education have a positive implication on the likelihood of adoption. Institutional factors also strongly determine the likelihood of adoption decision. In addition, the yield function estimation results also indicate that adoption of chemical fertilizer and improved seed increase wheat yield. It is only chemical fertilizer adoption that positively affect fava beans yield level.
Effective High Speed Interpolations for Colour Demosaicking with Reconfigurable Units for Low Complexity

In many real time applications captured image in surveillances has at least three color samples at each pixel location three sensors are required. But most modern digital cameras acquire images using a single image sensor. So measures need to be taken to get three channels for color image reconstruction. As an initial step, one needs to find a boundary which measures the similarity between every pair of pixels, then to an estimate of the full color image. After that, optimization is carried out: In this paper we present a fully pipelined color demosaicking design. To improve the quality of reconstructed images, a linear deviation compensation scheme was created to increase the correlation between the interpolated and neighboring pixels. Hardware sharing technique was used to reduce the hardware costs of three interpolators and pipelined architecture is used to improve the overall throughput rate.
Real exchange rate and manufacturing industry profitability and employment in Ecuador

We study profits and employment impacts of real exchange rate (RER) changes in Ecuadorian manufacturing establishment, in particular the RER appreciation observed during the oil export boom of the 2000s. Ecuadorian manufacturing industry sells domestically most of its production and purchase a considerable share of its inputs from foreign sources. We apply panel data techniques and find that such impacts depend on the trade orientation of the industry, much in line with previous empirical studies on the subject. We find a negative and significant effect of the RER on profits: given that most firms sell most of its production to the domestic market and work in an import competitive environment, when the RER falls (appreciation in RER) competition from imports abates and profit increase. RER appreciation should have a negative impact on employment through the revenue channel for export oriented firms, which with a higher share of exports in total sales, should show a stronger fall in employment induced by the appreciation, but a RER appreciation reduces the cost of foreign inputs and the higher the share of foreign inputs the more the increase in employment (provided they are complement) –for establishments in export-oriented industries, the latter effect may lessen the former. Given that the data shows that most industries in Ecuador have higher import intensity, and high import penetration, these results suggest that profits and employment impacts of a RER appreciation may actually be positive in Ecuador. Ecuador is a country that has issued laws to foster exportoriented industries and that needs to expand productive activities that generate US dollar, given that it is a dollarized economy –the country renounced its own currency in January 2000. However, in practice, the current oil export boom may act against the export manufacturing activity, while being in favor of the import competing industry. The favorable impact on profits and employment that it implies seems to generate all the incentives to continue the growth of import competing industries –a short run interest may be acting against a long-run goal of a more export-oriented economy.
Intertemporal Preference with Loss Aversion: Consumption and Risk Attitude

We study the consumption and portfolio selection problem of an agent who faces consumption irreversibility: there is disutility from changing consumption levels. The derived preference exhibits intertemporal loss aversion toward consumption changes with the previous consumption level being the reference point. The optimization problem involves the non-monotonic and non-concave utility function. By combining a duality method and the super-contact principle, we derive the closed-form solution. We show that the consumption policy involves an inaction interval for the consumption-wealth ratio, which can explain the four stylized facts about consumption at once. The optimal portfolio choice exhibits a U-shape in the inaction interval, which sheds light on the empirical debate on the relationship between a household's financial wealth and the share invested in risky assets.
CNTFET biosensor design

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. CNTFET biosensor design Nicolas Champauzas
Post-accession Compliance with the EU’s Anti-Corruption Conditions in the ‘Cooperation and Verification Mechanism’: Bite without Teeth?

The Cooperation and Verification Mechanism (CVM) is a novel attempt by the European Union (EU) to compensate for the loss of sanctioning power against non-compliance after a state has joined the EU. The CVM extends monitoring after accession, but it cannot sanction non-compliance. Yet this paper suggests that it can nonetheless have an impact on compliance. We code the CVM reports’ assessment of compliance with its recommendations for the fight against corruption in Romania and Bulgaria. The results suggest that compliance in Romania has become surprisingly good. We suggest that these developments are due to institution-building: the creation of strong domestic anti-corruption institutions has created a powerful – yet fragile – institutional base for the fight against corruption. At the same time, these institutions remain vulnerable to attempts by the government and a cross-party coalition in parliament to limit their impact. The main role of the CVM has been as an international social constraint on efforts to obstruct these efforts, and as a focal point for societal mobilization against curbing the power of anti-corruption institutions. At the same time, compliance with the CVM does not directly translate into improvements of corruption in practice. While compliance with the CVM can create more favourable conditions for the improvement of corruption control, such improvements in practice require a central role of domestic civil society.
Project Failure Factors Affecting Building Project Success in Nigeria: Design and Construction Phase

Some studies attempt to explore the project failure factors (PFFs) believed to affect project success. However, this specific area of PFFs remains unclear, and efforts to reach an agreement on the project failure factors have been rather limited. The main objective of this research study is to identify the PFFs that affect building project success and determine their relative importance in the stages of building process. A thorough literature review was carried out to generate a set of factors that affect project success. A questionnaire survey, based on 28 identified factors was conducted to collect data from three groups of respondents: professionals in construction industry, contractors and clients. Out of 310 questionnaires distributed, 193 were returned, representing 62.2% response rate. Using the mean score, relative importance index, and mean score average method, the most PFFs were identified. Spearman’s rank correlation was used to analyse the agreement of survey respondents on those most PFFs. A one-way analysis of variance was then performed to determine whether the mean scores among the various groups of respondents were statistically significant. The survey findings revealed that the top 5 most important PFFs in the design and construction phase of building process are as follows: Unclear scope and goals, culture or ethical misalignment, poor monitoring and tracking, design errors, and poor management of expectations. An understanding of PFFs would help all interested stakeholders in the construction industry to improve building project success. And finally, the results of this study would help construction professionals and other practitioners in the industry take proactive measures for effective building project management.
Credit, banking fragility and economic performance

Drawing on European Union data, this paper investigates the hypothesis that private credit and banking sector fragility may affect economic growth. We capture banking sector fragility both with the ratio of bank capital to assets and non-performing loans. We assess the effect of these three variables on the growth rate of GDP per capita, using the Solow growth model as a guiding framework. We observe that credit has no effect on economic performance in the EU when banking fragilities are high. However, the potential fragility of the banking sector measured by the non- performing loans decreases GDP per capita.
Poster-Using Twitter to Identify Privacy Information

We are building the first comprehensive database of privacy incidents [6]. Such a database helps identify the common elements in privacy incidents that enable technology and policy improvements. Previous work uses news articles to populate the database [15]. We find Twitter to be a good source of information about new privacy incidents. We created data sets of positive examples (privacy-related tweets) and negative examples (non-privacy-related tweets) and used them to train 6 different classifiers. The classifier based on a linear SVM has the best recall on our testing data set (i.e., fraction of privacyrelated tweets that are identified): 91.26%.