Miracle-dz/UniFAR-FTUs huggingface dataset:
Moth flame optimization to solve optimal power flow with non-parametric statistical evaluation validation

Abstract This article demonstrates an appositeness of a novel metaheuristic optimization algorithm viz. the moth flame optimization (MFO) to solve various non-convex, non-linear optimum power flow (OPF) objective functions. MFO is based on movement of moths with respect to the source of light. In this paper, five single objective functions are selected for solving the OPF problem: generator fuel cost minimization under various realistic conditions, real power loss reduction, and emission minimization. Simulations are performed on the IEEE 30-bus system to identify efficacy of the proposed method. Results obtained by MFO are collated with other stochastic methods reported in literature. Comparison reflects that MFO obtains optimum value with rapid and smooth convergence. Statistical tests like Wilcoxon test, Quade test, Friedman test and Friedman aligned test are also carried out to check the effectiveness of the MFO. Comparison of MFO with other stochastic algorithms demonstrates superiority of MFO in terms of solution excellency and solution feasibility, substantiating its effectiveness and competence.
Determination of parameters affecting thermal sensations using Support Vector Machine coupled with Firefly Algorithm

Thermal environment in open urban spaces impacts its use. Thermal adaptation engages user’s physiological, psychological and behavioral factors. This plays an important role in user’s ability to assess thermal environments. Previous studies have rarely addressed the effect of factors such as gender, age and locality on thermal sensation particularly in hot and dry climate. This study investigated thermal comfort of visitors at two public squares in Iran against their demographics. In addition, the role of built environment within the squares was analyzed. Assessing thermal comfort of the subjects required taking physical measurement and questionnaire survey. Support Vector Machine (SVM) was further coupled with Firefly Algorithm (FFA) methodology to estimate thermal comfort of the visitors. The role of built environment within the squares was analyzed. Results from SVM-FFA were compared with conventional genetic programming (GP) and artificial neural network (ANN). It has been found that our SVM-FFA results were similar to the actual measured data. Based upon simulated results, it is evident that SVM-FFA can be employed effectively towards prediction of visitors’ thermal sensations approximation to actual values. Surveyed results illustrated that the SVM-FFA model as proposed here is suitable and precise to predict visitors’ thermal sensations. Based on this study we have proven that the predictability performance of our model is more reliable and superior compared to other approaches as discussed in this study.
Effect of Kit ligand on natriuretic peptide precursor C and oocyte maturation in 1 cattle 2 Short Title : Kit ligand affects oocyte maturation and NPPC 3 4

22 In vitro maturation (IVM) of oocytes in cattle is inefficient, and there is great interest in 23 the development of approaches to improve maturation and fertilization rates. Intraovarian 24 signalling molecules are being explored as potential additives to IVM media. One such 25 factor is kit ligand (KITL), which stimulates the growth of oocytes. We determined if 26 KITL enhances oocyte maturation in cattle. The two main isoforms of KITL (KITL1 and 27 KITL2) were expressed in bovine cumulus-oocyte complexes (COC), and levels of 28 mRNA increased during FSH-stimulated IVM. The addition of KITL to the culture 29 medium increased the percentage of oocytes that reached meiosis II but did not affect 30 cumulus expansion after 22 hours of IVM. Addition of KITL reduced levels of mRNA 31 encoding natriuretic peptide precursor C (NPPC), a protein that holds oocytes in meiotic 32 arrest, and increased levels of mRNA encoding YBX2, an oocyte-specific factor involved 33 in meiosis. Removal of the oocyte from the COC resulted in increased KITL mRNA 34 levels and decreased NPPC mRNA levels in cumulus cells, and addition of denuded 35 oocytes reversed these effects. Taken together, our results suggest that KITL enhances 36 bovine oocyte nuclear maturation through a mechanism that involves NPPC, and that the 37 oocyte regulates cumulus expression of KITL mRNA. 38 39
The most original and wonderful instrument in scientific history ” —

Cloud chambers were essential devices in early nuclear and particle physics research. Superseded by more modern detectors in actual research, they still remain very interesting pedagogical apparatus. This thesis attempts to give a global view on this topic. To do so, a review of the physical foundations of the diffusion cloud chamber, in which an alcohol is supersaturated by cooling it with a thermal reservoir, is carried out. Its main results are then applied to analyse the working conditions inside the chamber. The analysis remarks the importance of using an appropriate alcohol, such as isopropanol, as well as a strong cooling system, which for isopropanol needs to reach . −40◦C. That theoretical study is complemented with experimental tests that were performed with what is the usual design of a home-made cloud chamber. An effective setup is established, which highlights details such as a grazing illumination, a direct contact with the cooling reservoir through a wide metal plate, or the importance of avoiding vapour removal. Apart from that, video results of different phenomena that cloud chamber allow to observe are also presented. Overall, it is aimed to present a physical insight that pedagogical papers usually lack.
Shumei Man Transmigration Across an in Vitro Blood-Brain Barrier CXCL 12-Induced Monocyte-Endothelial Interactions Promote Lymphocyte

brain. inflamed tissues and should spur progress for identifying the best targets for blocking harmful inflammation in the opens up new vistas for understanding how white blood cells and vessel wall endothelial cells ''talk'' to each other in empowered these cells to assist other white blood cells such as T and B cells to cross the BBB. This surprising result type, monocytes, showed altered CXCR4 expression. CXCR4 appeared to deliver signals to monocytes, which they added the triggering molecule for CXCR4 to their in vitro system, unexpectedly, they found that only one cell BBB. They studied a chemokine receptor termed CXCR4, which is expressed on almost all white blood cells. When establish how chemokine receptor expression by white blood cells would alter as the cells transmigrated across the transmigrated across the BBB-like endothelial layer into the lower chamber of the device. The researchers wanted to in brain capillaries. Some white blood cells flowed across the layer and out of the device, whereas others chamber. Then, they allowed human white blood cells to flow across the layer at a flow rate approximating that found First, the authors coaxed a special type of human endothelial cell to form a BBB-like layer in a dual perfusion transmigration of white blood cells across a human BBB-like endothelial cell layer. barrier (BBB). They use this elegant model to study how chemokine receptors influence and are influenced by the colleagues have devised an in vitro model of a specialized vessel wall of the human brain termed the blood-brain tissue, and they change as white blood cells transmigrate across different vessel walls. In a new study, Man and inflammation. Chemokine receptors are molecules on white blood cell surfaces that receive signals to guide cells into white blood cells transmigrate), it is important to identify those molecules that are most directly involved in harmful blood vessels and into tissues. Because there are 100 or so such molecules (used selectively when specific types of (chemokine receptors and their chemokine ligands; adhesion molecules) of white blood cell transmigration out of the apparently healthy uninfected tissues and cause injury. Recent research has identified the molecular regulators human diseases such as rheumatoid arthritis, multiple sclerosis, psoriasis, or type 1 diabetes, white blood cells invade migrate into inflamed tissues to defend the host against microbes or to repair damaged tissue. However, in many White blood cells traffic ceaselessly throughout the body, using blood vessels as their conduits. They also Going with the Flow
Use of Data Mining Approach in Intrusion Detection System – A Survey 1

With the rapid growth of internet and computer networks and the huge increase in the number of applications running on top of it, network security is becoming increasingly more important. They have become the targets of security vulnerabilities. Computer systems are becoming increasingly vulnerable to attacks. These attacks or intrusions, based on flaws in operating system or application programs, usually read or modify confidential information or render the system useless. Therefore, we need to find the best ways possible to protect our systems. Formally, an intrusion is defined as an activity that violates the confidentiality, integrity or availability of the system [1]. Basically IDS provide three important security functions; monitor, detect and respond to unauthorized activities [2]. The goals of the IDS provide the requirements for the IDS policy. Potential goals of an IDS includes Detection of attacks, Prevention of attacks, Detection of policy violations, Enforcement of use policies, Enforcement of connection policies, Collection of evidence [3].
Patterns of nucleotide diversity in Meisa1 and G3pdh in wild and cultivated cassava

The distribution and frequency of single nucleotide polymorphisms ( snp s) is an excellent tool for discerning evolutionary relatedness between cultivated and wild plant genomes. This type of information is scanty for the genus Manihot, and thus limiting systematic approaches in the genetic improvement of cassava. Here, we present a detailed description of the comparative patterns of snp s in Isoamylase1 ( Meisa1 ) and Glyceraldehyde-3-phosphate dehydrogenase ( G3pdh) in 10 accessions of wild ( Manihot esculenta subsp . flabellifolia ) and 12 accessions of cultivated cassava ( M. esculenta ). The results show that Meisa1 is more variable in cultivated cassava than that in subspecies flabellifolia , where the 954 bp sequence region differs at 1 in 111 and 250 nucleotides of cultivated and wild species, respectively. Frequency analysis shows that snp occurs once every 42 bp in cultivated and every 70 bp in wild. Tajima’s D test statistics showed that Meisa1 has been evolving under different selection pressures, diversifying in cultivated and purifying in wild. G3pdh is under diversifying selection in both populations. This may indicate the importance for isoamylase1 in starch quality traits in cassava, a trait that is likely to have been the target for artificial selection by farmers and breeders, in addition to natural selection. This study also suggests that G3pdh may be a good marker for phylogeny study while Meisa1 may be useful for intra and inter-cultivar diversity studies. The non-synonymous snp s that changed the amino acid property were identified and the potential implication of the change in protein function was analyzed and discussed .
Buccal Swab as a Source of Noninvasive Technique for Genomic DNA Collection in Felidae

This study was conducted to determine whether buccal cells obtained by swabbing could be a DNA source for genetic analysis, and to compare two preservative media, distilled water and Tris-EDTA (TE), pH 8.0. Buccal cell samples were collected from 30 domestic cats (Felis catus), 4 captive fishing cats (Prionailurus viverrinus) and 8 captive tigers (Panthera tigris). The total concentration of DNA and purity were not statistically different between the preservative media. All samples could be graded as a minimum as high quality DNA (DNA found with A260/A280 ratio >2.0 or < 1.8). In addition, the quality of DNA extracted from both media was successfully amplified for PCR. However, when compared to whole blood samples, total DNA concentration from buccal swab was significantly lower (p < 0.05) . Despite the decrease in DNA yield, buccal swab could be an alternative source for obtaining DNA for genetic analyses. This non-invasive, simple and inexpensive technique eases genetic studies in this family especially in domestic cat from which whole blood samples are difficult to collect.
Comparative Evaluation of Test Methods for Cut Resistance of Protective Gloves According to Polish Standards

This paper concerns a comparative evaluation of methods for testing the cut resistance of gloves protecting against mechanical injuries according to PN-EN 388:2006 and PN-EN ISO 13997:2003 standards. The results of preliminary tests indicated that the method applied currently in accordance with the former standard mentioned above is problematic and may yield erroneous results for gloves made of yarns highly resistant to cuts. Therefore the main aim of the study was to perform tests according to both standards and to conclude basis thereon whether the application of the method used for evaluation of protective clothing consistent with PN-EN ISO 13997:2003 would also be possible for testing protective gloves. The other aim of this study was to determine the performance levels for results obtained for gloves according to the test method intended for protective clothing. Cut resistance tests were carried out for twelve different materials obtained from protective gloves and clothing (commercially available) made of fabrics of cut-resistant, high-strength yarns. On the basis of the tests carried out, it was confirmed that the method for testing in accor dance with PN-EN 388:2006 is insufficient to assess the key protective parameter, i.e. the cut resistance. The alternative testing method applicable to protective clothing and gloves highly resistant to cuts is that according to PN-EN ISO 13997:2003.
DEPENDENT ON THE DOPPLER TECHNOLOGYAPPLIED ? COMPARISON OF RESULTS OBTAINED FROM AN IN VIVO MODEL

MAREK J. KUDLA,* ANDRZEJ LOS,y and JUAN LUIS ALCAZARz *Clinical Department of Oncological Gynecology, Chair of Woman’s Health, Medical University of Silesia, Katowice, Poland; yDepartment of Gynecology and Obstetrics, Regional Specialist Hospital No. 3, Rybnik, Poland; and zDepartment of Obstetrics and Gynecology, Clinica Universidad de Navarra, Medical School, University of Navarra, Pamplona, Spain
Workload-Aware Data Placement for Cloud Computing

Infrastructure as a Service, one of the distinguishing characteristics of cloud computing, enables conﬁguring a cluster for each application for each workload. When the workload changes, a statically-sized cluster with a ﬁxed capacity will be either underutilized (wasting resources) or unable to meet demand (incurring opportunity costs). In cloud computing, a new cluster conﬁguration easily can be used for the next run of the application. As the workload increases the cluster can expand. However, efﬁcient cluster expansion requires proper data replication and placement. This paper focuses on workload-aware data replication and placement to support efﬁcient cloud computing. It examines the tradeoffs between replication factors, partition granularity, and placement strategy. It shows that coarse-grain, workload-aware replication is able to improve performance over a n ¨ aive uniform data placement. Dividing the dataset into small sets, ﬁne-grain replication, improves performance because it can better match the anticipated workload and can tolerant small mispredictions. We propose two ﬁne-grain placement schemes, one to maximize load balancing and another to exploit cache locality. Our results have shown that the coarse-grain replication exhibit 25.3% and 80.9% increase in system throughput under medium-skew and high-skew workloads respectively. The ﬁne-grain scheme, on the other hand, reaches 52.4% and 166.3% improvement for the same workloads.
Welfare Effects of Housing Price Appreciation in an Economy with Binding Credit Constraints

This research analyzes the effects of recent housing price appreciation on aggregate welfare. It generalizes the results of Bajari et al (2005), who find that in a credit unconstrained economy with exogenous housing prices there is no effect of housing price appreciation on aggregate welfare. However, I demonstrate that if the households are credit-constrained and housing price is endogenous its appreciation implies a non-zero change in aggregate welfare. First, credit constraints are incorporated into Bajari et al’s model and it is shown that if they are binding housing price appreciation implies an improvement in aggregate welfare. I then construct a model where housing price appreciation is endogenous and is driven by demand and supplyside shocks. The supply shock results from a change in building permit cost. The demand shifts are generated based on dynamics of household income and interest rates. Both credit-constrained and unconstrained versions of this model are considered. Afterwards, using my theoretical results I calculate the aggregate welfare effects of housing price appreciation driven by the combination of demand-side and supply-side shocks observed in the US housing market from 1995 to 2004. The final result implies that housing price appreciation in 1995-2004 driven by the given combination of demand and supply-side shocks led to per household improvement of aggregate welfare by an amount equivalent to about 40% of mean household income in 2004.
Food Additives and Contaminants : Part B : Surveillance

Heavy metal content of black teas consumed in Iran Ebrahim Falahi a & Roshanak Hedaiati b a Department of Nutrition, Lorestan University of Medical Sciences, Khorramabad, Islamic Republic of Iran b Deputy of Food and Drug, Lorestan University of Medical Sciences, Khorramabad, Islamic Republic of Iran Accepted author version posted online: 14 Jan 2013.Version of record first published: 15 Feb 2013.
A enhances antimalarial activity f artemisinin in vitro

Resistance to synthetic first-line antimalarial drugs is considered to be a major cause of increased malaria morbidity and mortality. Use of artemisinin-based combination therapies (ACTs) is being encouraged to reduce the malaria mortality in areas of falciparum resistance. Artemisinin is a natural product at times in short supply. With projected rise in demand of artemisinin there is an unmet need for alternate ACTs. Novel compounds that reduce dependance on artemisinin are required. In vitro cultures of Plasmodium falciparum provide a screen system for identifying and evaluating new drug combinations. Interactions of
On a Mixture of Gaussian Copula Graphical Model

Identifying dependence between variables has always been an interesting question for researchers. Understanding the dependencies provide insight in many elds of applications including biostatistics, social science, etc. One of the classical approaches to target the problem is the use of a graphical model: A graph G = (V;E) with each vertex v2 V representing a variable and edge e2 E governing the conditional dependency between the connected vertices. Researches in Graphical Model are almost exclusively based on Gaussian assumption or more general, Gaussian copula: Prior choices of a single precision matrix 1 including Wishart for complete graphs, Hyper Wishart for decomposable graphs and G-Wishart in general are developed over past decades. Nevertheless, using a single covariance structure can still be restrictive for certain applications. In this paper, we extend existing approaches by considering a mixture of Gaussian copula in graphical models with the use of a set of latent indicator variables. Bayesian inference of the indicators and precision matrices will be discussed. Simulation study will also be conducted to examine the eciency and accuracy of our model.
NEW TOOL FOR THE ASSESSMENT OF THE UTERINE CERVIX TISSUE IN PREGNANT WOMEN BASED ON QUANTITATIVE ULTRASOUND TEXTURE ANALYSIS A Degree Thesis

1 Resum . 2 Resumen . 3 Acknowledgements . 4 Revision history and approval record . 5 Table of contents . 6 List of Figures . 7 List of Tables: . 8 Introduction. 9 State of the art of the technology used or applied in this thesis: . 17 Methodology / project development:. 19 Results. 39 Budget . 43 Conclusions and future development: . 44 Bibliography:. 47 Glossary . 48
MS Environmental Biology Capstone Project

12 Background/Rationale/Significance . 13 Purpose and Specific Aims . 17 Methods. 18 Study Site . 18 Data Collection . 18 Work Plan . 19 References . 21 Prior URSC Awards . 23 Budget Justification . 23
Time series Anomaly detection Pixel-based time series & anomaly visualization

Commercial buildings are significant consumers of electrical power. Also, energy expenses are an increasing cost factor. Many companies therefore want to save money and reduce their power usage. Building administrators have to first understand the power consumption behavior, before they can devise strategies to save energy. Secondly, sudden unexpected changes in power consumption may hint at device failures of critical technical infrastructure. The goal of our research is to enable the analyst to understand the power consumption behavior and to be aware of unexpected power consumption values. In this paper, we introduce a novel unsupervised anomaly detection algorithm and visualize the resulting anomaly scores to guide the analyst to important time points. Different possibilities for visualizing the power usage time series are presented, combined with a discussion of the design choices to encode the anomaly values. Our methods are applied to real-world time series of power consumption, logged in a hierarchical sensor network.
A Deep Gradient Boosting Network for Optic Disc and Cup Segmentation

Segmentation of optic disc (OD) and optic cup (OC) is critical in automated fundus image analysis system. Existing state-of-the-arts focus on designing deep neural networks with one or multiple dense prediction branches. Such kind of designs ignore connections among prediction branches and their learning capacity is limited. To build connections among prediction branches, this paper introduces gradient boosting framework to deep classification model and proposes a gradient boosting network called BoostNet. Specifically, deformable side-output unit and aggregation unit with deep supervisions are proposed to learn base functions and expansion coefficients in gradient boosting framework. By stacking aggregation units in a deep-to-shallow manner, models’ performances are gradually boosted along deep to shallow stages. BoostNet achieves superior results to existing deep OD and OC segmentation networks on the public dataset ORIGA.
Top Management Involvement in Open Innovation Processes: Learning from a Global Carmaker

Over the last decades, management scholars have largely investigated several aspects related to Open Innovation Processes – OIPs that concern the beginning, the diffusion and the future developments of the phenomenon, its typologies, its linkages with strategies and business models, its implementation, and even errors to be avoided when managing them. However, there is one aspect that seems to be underexplored and this deals with the involvement of top management.OIPs, like all the other managerial activities, need to be planned and defined ex ante; implemented, launched and managed; analyzed ex post. Thus, a decisional process – pertaining the activities to be carried out, human resources to be involved, criticalities to be avoided and results to be exploited – needs to be managed. Accordingly, the research question posed herein is: How do top managers handle OIPs? In order to respond to the above research question, a case study is presented hereinafter. This case study deals with an OIP launched by Fiat Chrysler Automobiles (FCA), one of the top ten global carmakers, and concerning the car of the future. In particular, through this case study, it is rebuilt and analysed how FCA top managers have handled the whole OIP.By leveraging on the achieved results, the paper speculates on the strong commitment that top managers need to put in practice if they aspire to make OIPs successful.