Miracle-dz/UniFAR-FTUs huggingface dataset:
Attempted construction of an arabinose-inducible pBA D 28 recombinant expression vector containing acr D , an Escherichia coli aminoglycoside efflux porin

The construction of pBAD28-acrD, an arabinose-inducible expression vector for AcrD, an aminoglycoside efflux pump, represents a considerable opportunity for investigation of the function of this membrane protein in an experimental setting. In this study, an attempt was made at the construction of this vector by PCR amplification of acrD from the genome of E. coli MG1655, isolation of the expression vector pBAD28 from E. coli DH5α, followed by restriction digestion using HindIII and XbaI, then T4 ligation of the digestion products. Following transformation of the ligation reactions into chemically competent E. cloni ® 5-alpha strain cells and characterization of putative transformants, it was determined that a successful pBAD28-acrD expression vector failed to be constructed, and the transformants were primarily empty pBAD28 vectors.
Effect of ankle taping on the ankle muscle strength in young healthy women

Of the various approaches to manage or prevent injuries on the ankle joint, Kinesio taping improves static posture stability, stimulating the neuromuscular control system. This study aims to investigate of ankle taping on the peak torque and average power of ankle muscle in young heathy women. Taping was applied to the extensor digitorum, tibialis anterior, gastrocnemius, soleus of the ankle in 16 healthy women. Isokinetic measurement of the dorsiflexion and plantarflexion patterns were recorded before and after taping. As a result of this study, the pre-post isokinetic parameters improved significantly for plantarflexion (p < .05) while those for dorsiflexion did not. Through this study, it was found out that ankle taping improved the muscle power of the plantarflexor of young healthy women, and it is expected that applying ankle taping would help young healthy women.
HR MANAGEMENT IN THE AGE OF CRISIS: THE CASE OF GREEK CIVIL ENGINEER CONSULTANT COMPANIES

This paper outlines and discusses an approach to HR management in Greek Civil Engineer Consultant Companies during the economical crisis of 2010-12. A discussion of the definition, the nature and anatomy of crisis, as also the determinants of crisis behavior are presented in the first part of it. The paper is integrated with two case studies, results and conclusions. The aim of this paper is to investigate the crisis process, to explore the patterns of behavior which emerge in response to crisis in Greek Engineer Consultant Companies and thereby to identify problems which may face managers, helping them to cope with more effectively. While this paper is presented within this restricted context, it will be interested to any manager who operates an organization in a crisis time.
Computer Test of Applicability of Graphene and Silicene in Litium Ion Batteries

Lithium ion drift in flat graphene and silicene channels, including graphene–silicene channel, in the presence of a constant electric field has been studied by the molecular dynamics method. The optimal channel gap size was determined for an ion to pass through the channel fully while maintaining dynamic contact with it. Penetration of lithium ions through the porous of graphene and silicene membranes as a result of the appropriate transverse electric field’s influence has been studied. The time of the ion passage through different membrane sets has been determined. In the case of graphene the ion passage of a membrane pair with divacancies is preferable, and for silicene a coupled membrane with hexavacancies is more passable, i.e. a mean time of the ion transit through it is the smallest. The stability of the membrane during the transport of lithium ion has been investigated. Hydrogenation of the flat channel edges has a positive effect only when the material for constructing the anode is graphene. The most effective method to keep a silicene structure intact is by fixing the edges, but even in this case, the initial defects in silicene cannot be prevented during the ion passage.
Reply to Reviewer Comment 1 ( RC 1 )

We have also proofread our manuscript according to the reviewer’s comments. Some paragraphs are rewritten to address the concerns raised by the reviewer. We have also attached an annotated manuscript to highlight the revisions. Detailed replies to specific comments by the reviewer are presented below: Comment 1: This is a review of “A regional coupled ocean–atmosphere modeling framework (MITgcm–WRF) using ESMF/NUOPC: description and preliminary results for the Red Sea”, by Sun et al. This is an article describing the development of a geophysical model, a regional coupled oceanatmosphere model, which fits perfectly with the journal. Having worked closely with atmosphere models for years and dabbled with coupled modeling systems, this coupled system represents an enormous effort. The timing numbers and physical results indicate that the coupled system appears to be behaving correctly and is ready for further testing. My concerns are largely with the presentation of this new tool to the community. The actual development and engineering aspects of the coupled
Comparative Analyses of Regeneration Potentiality of Eight Indigenous Aromatic Indica rice (Oryza sativa L.) Varieties

The development of an efficient in vitro regeneration system for economically-important aromatic rice cultivars is of urgent need for undergoing crop improvement through genetic modification. In the present work, comparative analysis of in vitro callus induction and regeneration efficiency of eight indigenous aromatic rice cultivars, viz., Kalonunia (KN), Gobindobhog (GB), Pusa Basmati (PB), Tulaipanji (TP), Radhunipagal (RP), IET 21261 (IET), Gandheswari (GN) and Radhatilak (RT) was carried out. The matured seeds were used as explants on Murashige and Skoog (MS) medium supplemented with 3 mg L -1 2,4-dichlorophenoxyacetic acid and 30 g L -1 sucrose for callus induction, while embryogenic calli were transferred to MS medium supplemented with combination of hormones, 1 mg L -1 naphthalene acetic acid, 2 mg L -1 6benzylaminopurine and 4 mg L -1 kinetin for plant regeneration. The present study showed that all the varieties exhibited a high frequency of callus induction, ranging from 63.19% to 98.33%. The plant regeneration potential ranged from 93.43% to 33% depending on the genotypes examined. The maximum plant regeneration (%) was noted in KN (93.43%) followed by GB (90.83%), TP (89.34%), RP (89%), IET (75.92%), GN (74.66%) and RT (71%), whereas the minimum regeneration potential was observed in PB (33%). The regeneration potential was highly correlated with callus browning and callus production. The in vitro regenerated plants showed successful rooting and were well acclimatized under the conditions in growth chamber. Our observation highlighted a significant effect of genotype on callus induction ability, embryogenic response and plant regeneration capacity, suggesting the varietal difference in regeneration efficiency among the selected aromatic rice varieties. Keywords— Aromatic rice, Oryza sativa, Indica rice, Regeneration, Callus induction, Plant growth regulators, Tissue culture, Matured seed explant
Author's response to reviews Title: Do parental heights influence pregnancy length?: A Population-based prospective study, HUNT 2 Authors:

1. The sentence in the Results Reviewer`s comment: “Shorter women . had higher risk of pre-term delivery” is not entirely corre t, as the pvalue for the association when EDD is based on LMP is 0.32. Answer: This statement has been corrected in the revised abstract; line 19 and line 22, and in the discussion section, page17,line 8. 2. Reviewer`s comment: I believe that the adjustment for cardiovascular risk factors in the analyse s must be stressed in the abstract, for it is this which is unique about the study design. Answer: We agree. The adjustment for cardiovascular risk has now been thoroughly descri bed throughout the revised abstract; see highlighted text. Introduction 3. Reviewer`s comment:
The Effects of Light Intensity on Tracing Digital Image into Vector Image By Dr .

This paper aims to study the effects of light intensity on the digital image production, and therefore the accurate reproduction of details when tracing this digital image to the vector image. The paper used experimental and analytical methods to study the light intensity as the independent variable through the dependent variables "lens aperture, sensitivity speed (ISO)" and shutter speed. Next, the digital images obtained from the experiments were auto traced to vector images. Then, the results were measured and analyzed. While the results were identical to the hypotheses related to lens aperture and sensitivity speed (ISO) experiments, the shutter speed experiment results did not match the hypothesis: there is no change in the details of the vector image created through the variables shutter speed in the digital image. Therefore, using fast shutter speeds is recommended to increase the accuracy of the vector image details produced through the digital image.
Entity associations for search

In this thesis, we investigate the broad problem of computing entity associations for search. Specifically, we consider three types of entity association: entity-entity, entity-document, and entity-aspect associations. We touch upon various domains, starting with specific domains such as the humanities and business, and ending in Web search. The first type of association is entity-entity association. We begin our investigation by considering entity networks as a means of exploring document collections, and formulate the task of entity network extraction as ranking related entities. We combine approaches based on association finding and relation extraction to address the task. In our second study we go in a different direction, and focus on establishing temporal boundaries between pairs of entities having confirmed the relations between them. Finally, we bring the type of the relations to the forefront in our third study. We consider the task of recommending entities related to a query entity given their direct and indirect connections in a knowledge graph. We formalize the task of impact-based entity recommendation and propose two approaches based on learning to rank and impact propagation. Our second theme concerns entity-document associations. We study this type of association in the context of filtering documents for knowledge base acceleration. In this setting, the goal is to filter documents that are relevant to update a profile of an entity. We focus on the challenge of long-tail entities specifically, and propose an approach that leverages intrinsic, i.e., in-document signals more than extrinsic signals such as Wikipedia page views and trending queries. Finally, we explore entity-aspect associations. Entities are often associated with attributes, types, distinguishing features, topics, or themes. We broadly group this type of information under the heading "aspect. " We study entity aspects in the context of Web search, and define them as common search tasks in the context of an entity. Specifically, we study the problem of mining, ranking, and recommending aspects. Entity aspects and their associations are mined from query logs. This thesis contributes new task formalizations, algorithms, and insights on computing entity associations for search. Our experimental results confirm the effectiveness of our approaches within the different settings that we consider. Insights gained from this thesis will help address entity-oriented information access challenges in various domains.
I Am , Therefore I Fail ” : An Empirical Study of the Relationship between National Culture and Economic and Financial Crisis

The extent to which national culture and values are associated with economic and financial downturns has been largely unexplored in organisational studies. This reveals an important gap in the literature, which needs to be addressed, especially with regard to the recent global crisis. The goal of this text is to present the results of an empirical study designed to explore the relationships between national culture and economic crisis. The study was conducted in Portugal, which received international economic aid between 2008 and 2014, and it is original for two reasons: a) it shows how national culture is related to the various economic and financial aspects of the crisis; and, b) it studies these relationships over a period of 18 months. The research is based on a survey questionnaire for a global population, filled in by an average of 1,000 people in three key moments in time: November 2012, April 2012, and November 2013. The research was designed to capture individual perceptions regarding the economic and financial aspects of the crisis, as well as the country‟s specific cultural aspects. The results show that some perceptions of cultural aspects suffered a significant rise from moment 1 to moment 2, followed by a decrease from moment 2 to moment 3. The sharp increase of individual perceptions in moment 2 coincides with a vast array of political and fiscal changes, which had histrionic impacts on the everyday life of individuals and families. Although this paper is based on individual perceptions regarding cultural, political, and economic factors, it shows that these macro variables act in conjunction during a crisis, which has important implications for the study of culture and politics. The paper ends with a discussion of such implications.
On the Cost of Poor Volatility Modeling The Case of Cliquets

We have conducted pricing and hedging experiments in order to check whether simple stochastic volatility models are capable of capturing the forward volatility and forward skew risks correctly. As a reference we have used the Bergomi model that treats these risks accurately per definition. Results of our experiments show that the cost of poor volatility modeling in the Heston model, the Barndorff-Nielsen-Shephard model and a VarianceGamma model with stochastic arrival is too high when pricing and hedging cliquet options.
Appropriateness of Dropout Layers and Allocation of Their 0.5 Rates across Convolutional Neural Networks for CIFAR-10, EEACL26, and NORB Datasets

Abstract A technique of DropOut for preventing overfitting of convolutional neural networks for image classification is considered in the paper. The goal is to find a rule of rationally allocating DropOut layers of 0.5 rate to maximise performance. To achieve the goal, two common network architectures are used having either 4 or 5 convolutional layers. Benchmarking is fulfilled with CIFAR-10, EEACL26, and NORB datasets. Initially, series of all admissible versions for allocation of DropOut layers are generated. After the performance against the series is evaluated, normalized and averaged, the compromising rule is found. It consists in non-compactly inserting a few DropOut layers before the last convolutional layer. It is likely that the scheme with two or more DropOut layers fits networks of many convolutional layers for image classification problems with a plenty of features. Such a scheme shall also fit simple datasets prone to overfitting. In fact, the rule “prefers” a fewer number of DropOut layers. The exemplary gain of the rule application is roughly between 10 % and 50 %.
Modeling , Simulation and Implementation of Brushed DC Motor Speed Control Using Optical Incremental Encoder Feedback

Brushed DC motors are widely used in industrial applications where speed regulation requirements are critical. Speed control of DC motor using incremental optical encoder feedback mechanism and Simulink model of DC Motor is presented in this paper. Quadrature decoding of encoder pulses is done to measure motor speed at a sampling instant and PID controller algorithm is applied to compute control variable in the form of PWM. Motor driver, here the H-bridge circuit, responds to the PWM signal and produces voltage proportional to PWM duty cycle that actuates DC motor resulting in motor speed proportional to PWM duty cycle. Experiments show that proper tuning of PID parameters result in smooth tracking of the reference speed.
JANI HONKANEN HARMONIC PERFORMANCE IMPROVEMENT OF STATCOM

JANI HONKANEN: Harmonic Performance Improvement of STATCOM Tampere University of Technology Master of Science Thesis, 82 pages, 3 Appendix pages April 2018 Master’s Degree Programme in Electrical Engineering Major: Power Electronics Examiners: Assistant Professor Tuomas Messo and Ph.D. Jenni Rekola
MuDroid : Mutation Testing for Android Apps Undergraduate Final Year Individual Project

With the raising of smartphones, mobile apps become an new emerging paradigm in software development. With 3.4 billion smartphone subscription, the quality of mobile apps become a crucial problem which lead to the need of novel and high quality testing approaches for app developers. Existing testing approaches, such as code coverage based, do not provide an effective way to assess the fault detectability of mobile app tests. The fault-based mutation testing techniques offer a better guideline in improving the fault detection ability. This project aims to design and implement an automated mutation testing system for Android apps at integration level. With this system, Android developers and testers could gauge the quality of their test suites by understanding their fault detection ability. Furthermore, it can provide a guideline for testers to improve their testing as well as improving their implementation. This thesis proposes three novel Android mutation testing techniques and describe the the implementation of MuDroid, an automated mutation testing system for Android apps. We designed six selective operators which generated 3,649 mutants on four real-world Android apps in the empirical study. The innovative screenshot-based killing approach we proposed could kill 40% more mutants on average than traditional crash-based killing approaches. The results also shown that our best cost reduction strategy could reduce on average 80% mutants with only a 7.3% error in average.
Fast Visual Tracking with Kernelized Correlation Filters Using Split Composite Images

This paper proposes Kernelized Correlation Filters using Split Composite Images (SC-KCF) to make visual tracking with kernelized correlation filters faster. Splitting input images and compositing the split images can reduce the computational costs of Kernelized Correlation Filters (KCF) and keep the accuracy of tracking. Experimental results show that SC-KCF has almost the same accuracy as KCF and runs 3.3 times faster than KCF. Keywords—Visual tracking; Kernelized Correlation Filters; Kernel Correlaiton; Fast Fourier Transform; Split-composite images.
miR-1423 p promotes pancreatic β cell survival through targeting FOXO 1 in gestational diabetes mellitus

Gestational diabetes mellitus (GDM) is a common metabolic disease during pregnancy with serious harm. However, the pathogenesis of GDM has not been thoroughly studied. Recent reports have shown that microRNAs (miRNAs) are associated with GDM, but the mechanisms remain unclear. This study aimed to investigate the role of miR-142-3p in β cells of GDM. We established GDM mouse models by injecting streptozotocin (STZ) to extract embryonic tissue, peripheral blood and pancreas. qRT-PCR was used to detect the expression of miR-142-3p and FOXO1. 5-ethynyl-2’-deoxyuridine (EDU) staining and flow cytometry were used to measure cell proliferation and apoptosis. Western blot analysis was used to determine the expression of proliferation and apoptosis-related proteins. Dual-luciferase reporter assay was used to assess the target relationship between miR-142-3p and FOXO1. The results showed that miR-142-3p was up-regulated in embryonic tissue and peripheral blood of GDM model mice. Overexpression of miR-142-3p and knockdown of FOXO1 both promoted INS-1 cell proliferation, inhibited apoptosis, increased proliferating cell nuclear antigen (PCNA) and Bcl-2 expression, as well as reduced the expression level of p27, Bax and cleaved caspase-3. There are binding sites between miR-142-3p and FOXO1, which is miR-142-3p directly regulated FOXO1 expression. Moreover, above increases and decreases induced by miR-1423p were attenuated by FOXO1 overexpression. In conclusion, miR-142-3p promotes the survival of pancreatic β cells through targeting FOXO1 in GDM. This study suggests that targeted regulation of miR-142-3p/FOXO1 might be a new strategy for the treatment of GDM.
69 2 v 2 10 J un 2 00 5 Primordial non-gaussianities in single field inflation

We calculate the three-point function for primordial scalar fluctuations in a single field inflationary scenario where the scalar field Lagrangian is a completely general function of the field and its first derivative. We obtain an explicit expression for the three-point correlation function in a self-consistent approximation scheme where the expansion rate varies slowly, analogous to the slow-roll limit in standard, singlefield inflation. The three-point function can be written in terms of the familiar slow-roll paramters and three new parameters which measure the non-trivial kinetic structure of the scalar field, the departure of the sound speed from the speed of light, and the rate of change of the sound speed.
PHYSIOLOGY OF SECONDARY PRODUCTS

Cotton produces a large number of secondary products that often occur in specialized cells or tissues and serve diverse biological functions. The concentrations of these compounds may vary from a few ppb for some volatile terpenoids to more than 20 percent of the dry weight for condensed tannins and lignins. Some secondary products are undesirable because they present toxic hazards during fiber processing and seed utilization. Their synthesis also diverts photosynthate from the desired products. However. many secondary products have important desirable roles in resistance to pests and to environmental stress, and some also may be useful as pharmaceuticals. Thus, a thorough knowledge of secondary products chemistry and biology is needed to manipulate and use these compounds for optimal cotton production and utilization. [n this review the structure, biological activity, localization, genetic control, and interaction with environment will be discussed for different secondary products. The compounds and their de.rivatives are divided into the broad categories: phenolic acids, flavonoids, terpenoids and unique fatty acids.
A New Genre Classification with the Colors of Music

The aim of this study is to bring a new perspective for the classification of the songs, revealing of the colors of music. The first effort is to transform songs into images. The colorful images have been attained with Short time Fourier transform, discrete cosine transform and time to spatial transformation and some extra processing. It has been observed that the images of different music genres obtained with the same method have different colors. But some of them have similar colors and patterns, which making difficult to classify. Pre-trained deep convolutional network have been trained with these images. For five Turkish musical genres, nearly up to 60% classification accuracy has been achieved and for ten musical genre of a benchmark musical dataset nearly up to 54% classification accuracy has been achieved. In future studies, it has been planned to create the images using timbral texture and rhythmic contents, for increasing the accuracy.