Miracle-dz/UniFAR-FTUs huggingface dataset:
The Effect of Dysmenorrhea on the Severity of Insomnia among University Students in Turkey

Background: Dysmenorrhea is the most common gynecological condi ti among women of reproductive age. Although dysmenorrhea has been reported to affect t h sleep, the effect of dysmenorrhea on the severit y of nsomnia has yet to be elucidated. Objectives: This study aims to analyze the effect of dysmenorrh ea on the severity of insomnia among university students. Methods: Two interviews were conducted with the students; the first prior to the menstrual period, the second in the first three days after menstruation. Results: Falling asleep took longer, sleep duration was sho rter, sleep quality was poorer, and the rate of fee ling rested in the morning was lower among those who suf fered from dysmenorrhea during the menstrual period than among those who did not (p<0.05). The frequency of awakenings after falling asleep was higher, sleep q uality was poorer, and the rate of feeling rested in the morni ng was lower among those who suffered from severe d ysmenorrhea (n=65) (p<0.05). Conclusions: It was determined that the average score of insomn ia severity was higher in patients with Dysmenorrhea disease and the severity of insomnia w as also increased as the severity of pain increased .
A green biosynthesis of NiO nanoparticles using aqueous extract of Tamarix serotina and their characterization and application

Nickel oxide nanoparticles were prepared using nickel nitrate as precursor with extract of Tamarix serotina flowers and were characterized using powder X-ray diffraction, infrared and UV spectroscopies, transmission electron microscopy, vibrating sample magnetometry and BET surface area measurements. Also, the nickel oxide nanoparticles were used as a green and recyclable nanocatalyst for the synthesis of quinoline derivatives. The products are obtained in good to high yields (60–90%) from a one-pot reaction of 2-aminobenzophenone and various carbonyl compounds. Copyright © 2016 John Wiley & Sons, Ltd.
Challenges in Citation Analysis

-Citation analysis holds a vital part in defining the worth of the author, institution and or university, and journal. A reference is the acknowledgment that one document gives to another. A citation is the acknowledgment that one document receives from another; It is a clear reference in a research text to another author’s published text. This one is the part of bibliometrics that covenants by the analysis study of its associations. Citation analysis considering not only citation count but also sentimental analysis, and the comments or tweets about the article. In this paper we are presenting the challenges in citation analysis.
CLINICAL EVALUATION OF HEALING OF PERIODONTAL TISSUES AFTER LASER ASSISTED NEW ATTACHMENT PROCEDURE (A NO CUT, NO SEW PROCEDURE): A CASE REPORT

Periodontitis is treated by non-surgical, antimicrobial and surgical therapies. Recently, Lasers having bactericidal effect have proved one of the promising new modality for treatment of periodontitis. Laser Assisted New Attachment procedure is minimally invasive surgical therapy, wherein laser is used for removal of diseased epithelium to induce new attachment without any side effects on the host tissue.
Forest Roads and Operational Wildfire Response Planning

Supporting wildfire management activities is frequently identified as a benefit of forest roads. As such, there is a growing body of research into forest road planning, construction, and maintenance to improve fire surveillance, prevention, access, and control operations. Of interest here is how road networks directly support fire control operations, and how managers incorporate that information into pre-season assessment and planning. In this communication we briefly review and illustrate how forest roads relate to recent advances in operationally focused wildfire decision support. We focus on two interrelated products used on the National Forest System and adjacent lands throughout the western USA: potential wildland fire operational delineations (PODs) and potential control locations (PCLs). We use real-world examples from the Arapaho-Roosevelt National Forest in Colorado, USA to contextualize these concepts and illustrate how fire analytics and local fire managers both identified roads as primary control features. Specifically, distance to road was identified as the most important predictor variable in the PCL boosted regression model, and 82% of manager-identified POD boundaries aligned with roads. Lastly, we discuss recommendations for future research, emphasizing roles for enhanced decision support and empirical analysis.
Cross Modal Localization of Moments in Video

– There has been growing interest nowadays in locating particular moments inside a video in reacting to a given sentence rather than simply retrieving the entire video, known as temporal moment localization. The current program focuses primarily on sparse frame-level characteristics such as visual expression, blurring the critical indications for finding the desired moment. In our proposed method, the video along with the sentence is given as input, and the extraction of the noun is performed first by natural language processing tools. Then the extracted noun words are used to know the relation between the objects and the video moment obtained with the maximum relevant objects and the relationship will be saved. In this work we developed relation network which is composed of convolutional neural network and long-short term memory network for relation recognition. The project introduces the first truly end-to-end object detector, which determines where to look next and when to guess, rather than the conventional expensive search and locate system.
Correlation models between CBR values and the results of index tests in granular subgrade soils in northern Colombia

In the present study, several models are worked to try to express the correlation between the results obtained in the laboratory CBR test and the index properties of the soils in the area surrounding the municipality of Sincelejo, located in the north of Colombia. For this purpose, altered samples of soils of a granular nature from 25 different sites were collected, in which laboratory CBR tests were carried out and maximum dry density, optimal moisture content, liquid limit, plastic limit and plasticity index were also determined. According to the results obtained, it was possible to establish that there is a good correlation between the values of maximum dry density and the optimal moisture content, with the CBR values of the soils of granular materials, which can be evidenced from of the high values obtained in the corresponding correlation coefficients R2. On the other hand, it was possible to corroborate that the multiple linear regression models present better correlation values than the simple linear regression models.
Mnemonic-Based Interactive Interface for Second-Language Vocabulary Learning

{ In this paper, we propose a new educational system for second-language vocabulary learning based on a mnemonic technique. The system is equipped with the dynamic and interactive interface that allows vocabulary learners to seamlessly browse a collection of foreign words while suggesting phonetically related words of a known language for helping the memorization of unfamiliar languages. The phonetic algorithm is employed to encode pronunciation of words. The phonetic codes of words are then applied to homonyms of diﬀerent languages (i.e., known and learning languages). The Levenshtein distance is used to quantify the similarity of phonetic codes or of words’ pro-nunciation. The mnemonic words with their associated images are presented surrounding the learning words according to the edit distance or phonetic similarity. With visual effects based on user’s input, the dynamic and interactive interface will help users browse a collection of vocabulary in source and destination languages as well as images related to their word meanings.
Challenges and Opportunities in Processing Low Resource Languages: A study on Persian

This paper discusses the importance of language processing and its challenges. It first defines low resource languages and their influencing factors. Then talking about the Persian Language, discuss the situation of Persian in this field of study. Following the discussion, some major Persian language resources are introduced. and describing available methods, some challenges and opportunities are discussed. At last the conclusion section suggests some steps for moving Persian from a low resource language toward a high-resource one, including using cross-lingual embeddings, standardization of test data, running various challenges on Persian data and encouraging startups to build their business in this field.
Assessment of the Microbiological Quality and Efficacy of Two Common Disinfectants Used in Hospital Laboratory

The present study assessed the microbiological quality and efficacy of two common disinfectants (Jik and Lysol) used in a hospital laboratory. Sterility test using Nutrient Agar and Sabour Dextrose Agar plates incubated at 37°C and 25°C, respectively, were employed to detect the present of potential bacterial and fungal contaminants in 3 new batches of stock disinfectants. Swabs of work-bench surfaces designated as Site 1, 2 and 3 were collected in triplicate at the end of each business day (i.e, before disinfection) and also after disinfection with 30% Jik and 2.5% Lysol dilution and cultured in tubes containing 3 ml of Tryptic Soy Broth medium and 0.1 mL Neutralizer. Surface viable count was carried out to determine the bacterial population density of three sites pre-disinfection and post-disinfection. Colonies of bacteria were identified by Gramstain, motility test and routine biochemical tests. The efficacy of the disinfectants against each bacterial isolate at 10 min contact time was determined using the quantitative suspension test. The killing rate of the disinfectants was expressed by plotting the logarithms of surviving cells (CFU/mL) against exposure time (min) of the disinfectant. The outcome of the study showed that the microbiological quality of the two disinfectants tested was satisfactory. Bacterial distribution pre-disinfection include: Staphylococcus epidermidis, Enterococcus aerogenes, Proteus mirabilis, Bacillus subtilis, Pseudomonas aeruginosa and Klebsiellia pneumoniae; while only B. subtilis, P. aeruginosa and K. pneumoniae were recovered post-disinfection. Lysol proved to be more potent than Jik at the dilution and contact time tested with a log reduction of bacterial population ≥5. S. epidermidis, E. aerogenes and P. mirabilis were completely killed by the two disinfectants within the 10 minutes contact time. While, a population density of 1-2 log CFU/ml of B. subtilis, P. aeruginosa and K. pneumoniae still survived after 10 min exposure to Lysol and Jik. The outcome of this study further strengthening earlier works and underscored the need to periodically assess the microbiological quality and efficacy of disinfectants routinely supplied to the laboratory to ensure proper control of infections by using right disinfectant in right concentration for a right contact time.
Cortical hemodynamic mechanisms of reversal learning using high-resolution functional near-infrared spectroscopy: A pilot study

OBJECTIVES Reversal learning is widely used to analyze cognitive flexibility and characterize behavioral abnormalities associated with impulsivity and disinhibition. Recent studies using fMRI have focused on regions involved in reversal learning with negative and positive reinforcers. Although the frontal cortex has been consistently implicated in reversal learning, few studies have focused on whether reward and punishment may have different effects on lateral frontal structures in these tasks. METHODS During this pilot study on eight healthy subjects, we used functional near infra-red spectroscopy (fNIRS) to characterize brain activity dynamics and differentiate the involvement of frontal structures in learning driven by reward and punishment. RESULTS We observed functional hemispheric asymmetries between punishment and reward processing by fNIRS following reversal of a learned rule. Moreover, the left dorsolateral prefrontal cortex (l-DLPFC) and inferior frontal gyrus (IFG) were activated under the reward condition only, whereas the orbito-frontal cortex (OFC) was significantly activated under the punishment condition, with a tendency towards activation for the right cortical hemisphere (r-DLPFC and r-IFG). Our results are compatible with the suggestion that the DLPFC is involved in the detection of contingency change. We propose a new representation for reward and punishment, with left lateralization for the reward process. CONCLUSIONS The results of this pilot study provide insights into the indirect neural mechanisms of reversal learning and behavioral flexibility and confirm the use of fNIRS imaging in reversal-learning tasks as a translational strategy, particularly in subjects who cannot undergo fMRI recordings.
Comparison of Embedding Objectives for Next Generation Networks

—Virtualization is considered a key factor for the commercial success of the future Internet and next generation networking in general. But, the plethora of modern day specialized applications migrating to an outsourced hosting environment, introduces new challenges into the process of optimizing the mapping of virtual resources over physical ones. In this paper, we categorize the variety of the current distinctive mapping objectives and performance metrics and we thoroughly compare the most common proposed embedding solutions with different optimization strategies under the same simulation circumstances, evaluating their suitability for serving network applications judging by their experimental results.
Gedunin Modification for Anticancer Properties Improvement against the Human NAD

Background: Cancer, also called malignancy, is an abnormal growth of cells. There are more than 100 types of cancer, including breast cancer, skin cancer, lung cancer, colon cancer, prostate cancer, and lymphoma. Symptoms vary depending on the type. Cancer treatment may include chemotherapy, radiation, and/or surgery. NAD + kinase (NADK) catalyzes the phosphorylation of nicotinamide adenine dinucleotide (NAD + ) to nicotinamide adenine dinucleotide phosphate (NADP + ) using ATP as the phosphate donor. NADP + is then reduced to NADPH by dehydrogenases, in particular glucose-6-phosphate dehydrogenase and the malic enzymes. NADPH functions as an important cofactor in a variety of metabolic and biosynthetic pathways. The demand for NADPH is particularly high in proliferating cancer cells, where it acts as a cofactor for the synthesis of nucleotides, proteins, and fatty acids. Materials and Methods: The Modification made to gedunin was done by substituting a CH3 group from the compound with NH2 using the marvin sketch software. The designed structural modifications were saved as mrv files which were then converted into SMILES strings for docking using the OpenBabel software. Molecular docking to predict the binding energy of gedunin and the modified analogue carried out using the AutoDock Vina software while pharmacokinetics parameters for each compound was predicted using the SwissADME server. Result: Following the modifications effected on gedunin, a positive result was observed as regarding the binding energies of the compounds. The NH2 analogue of gedunin exhibited a higher binding energy for the inhibition of the human NAD + kinase enzyme. Both compounds are predicted safe for administration as they both cannot permeate the blood brain barrier. Conclusion: Results from the molecular docking study showed that the NH2 analogue of gedunin might be a better anticancer agent. Laboratory synthesis and preclinical studies on the compound is therefore recommended.
The Riemannian Penrose Inequality and the Inverse Mean Curvature Flow

In the mathematics of general relativity, the concepts of quasi-local and global mass/energy do not arise as naturally as in Newtonian and Lorentzian physics. While the stress-energy tensor component T00 represents the local energy density (of a given observer), the lack of a well-de ned gravitational energy density means that the local conservation law for T00 familiar from special relativity does not hold in the gravitating case. We discuss this di culty and show how the global/total mass can be de ned assuming asymptotic atness. The ADM mass provides a de nition of the total mass in terms of the three-dimensional Riemannian geometry of a spacelike slice, allowing us to discard the time dependence and Lorentzian signature once we place su cient constraints on the extrinsic curvature. From a physical perspective, we expect the total mass of a universe to be non-negative, and in the case of a universe containing a black hole (identi ed by its event horizon) to be at least the usual mass associated a black hole of a given surface area. These two statements (when cast in terms of the intrinsic geometry of a maximal spacelike hypersurface) are respectively known as the Positive Mass Theorem m ≥ 0 and the Riemannian Penrose Inequality 2m ≥ r, and have been proven in recent decades. We derive the Geroch monotonicity formula for the smooth inverse mean curvature ow and subsequent heuristic proof of the Penrose inequality, and then present the weak formulation introduced by Huisken and Ilmanen that gives a rigorous proof. We also discuss Bray's proof of the Penrose inequality, the generalisation of the Penrose inequality to asymptotically at solutions of the Einstein-Maxwell equations and why the proof of Bray cannot possibly be generalised in this manner. The application of the weak inverse mean curvature ow to the computation of the Yamabe invariant of 3-manifolds is also discussed, including a sketch of the proof that σ ( RP ) = 6π.
A Survey on Multiphoton Lithography for Fabricating Optical Microdevices

Multiphoton lithography is a promising microfabrication technique to produce complex microstructures. Besides the ability to make 3D structures with very few constrains, this technique provides sub-micrometric resolution and high fabrication speed. Furthermore, it also allows for incorporating a variety of organic and/or inorganic dopants into the polymeric matrix, leading to functional structures with tailored properties. It is therefore possible to produce microdevices for a wide range of applications. In this review we show a series of recent advances regarding methods to introduce different types of material into the microstructures and ways to characterize those microdevices. The fabrication of doped samples using multiphoton lithography allows for the exploration of the unique properties from metallic and semiconductor nanoparticles, as well as a variety of organic compounds. Here we emphasize the production of optically-active samples exhibiting variable or broadband emission spectra, which are suitable for applications in electronic and photonic devices.
Credit Ratings and Capital Structure: New Evidence from Overconfident CFOs

In this paper, we examine the impact of credit rating changes on the financing decisions of overconfident CFOs. We find that CFO overconfidence significantly increases the sensitivity of net debt issuances to the rating changes, particularly when firms have no access to low-risk debt. Specifically, we establish that speculative-grade firms with overconfident CFOs reduce net debt issuance following rating changes (i.e. upgrades and downgrades). Our results hold after controlling for CEO bias. Furthermore, we document that CEO overconfidence has explanatory power on firm financing policies as it generates the potential multiplier effect on debt conservatism, as well as on investment return. Findings of our paper are robust to model specifications and to the endogeneity bias.
High Performance Preconditioning Techniques for the Solution of Two-Group Transient Neutron Diffusion Equation

We evaluate the performance of preconditioned Second-Order degree iterative methods for the solution of large-sparse linear systems of equations related to the 3D multi-group time-dependent Neutron Diffusion Equation. Efficient solutions to these problems are important for studies of stability and security of nuclear reactors. For this, first we present the results of a comparison among preconditioners available in Hypre[1][2][3] that are more appropriated for our problem. Secondly, they are compared against results obtained from preconditioners available in the PETSc library[4][5][6]. Our test examples are based on the commercial nuclear reactor of Leibstadt.
Evaluation of a Multi-agent Anomaly-based Advanced Persistent Threat Detection Framework

—Cyber attacks have become a major factor in the world today and their effect can be devastating. Protecting corporate and government networks has become an increasingly difﬁcult challenge, when new persistent malware infections can remain undetected for long periods of time. In this paper, we introduce the Multi-agent ranking framework (MARK), a novel approach to Advanced Persistent Threat detection through the use of behavioral-analysis and pattern recognition. Such behavior-based mechanisms for discovering and eliminating new sophisticated threats are lacking in current detection systems, but research in this domain is gaining more importance and traction. Our goal is to take a on-hands approach in the detection by actively hunting for the threats, instead of passively waiting for events and alerts to signal abnormal behavior. We devise a framework that can be easily deployed as a stand-alone multi-agent system or to compliment many Security Information and Event Management systems. The MARK framework incorporates known and new beyond state-of-the-art detection techniques, in addition to facilitating incorporation of new data sources and detection agent modules through plug-ins. Throughout our testing and evaluation, impressive true detection rates and acceptable false positive rates were obtained, which proves the usefulness of the framework.
Towards a Theory of Arbitrary Law-making in Migration Policy

The article considers what arbitrary law-making is and what may count as arbitrary law-making in the field of migration policy. It contributes to the discussion of arbitrary law-making in relation to migration policy in two ways. First, it offers an analysis of arbitrariness, pointing out that rhetorical definitions abound – perhaps not surprisingly, given that migration is a highly-contested policy area – and argues for why transposing a conception developed in ethical theory to the law has high theoretical costs. An alternative conception is described and found to be better equipped to deal with arbitrary law-making in migration policy. It is argued that if we want to understand how arbitrariness plays out in the field of migration law – which is necessary to find ways to hinder its spread by the adoption of specific law-making practices – we first need to distinguish arbitrariness from legitimate choices of legislators. Secondly, a typology of forms of arbitrariness is fleshed out in relation to contemporary migration policy. The policy area is here broadly construed to include not only naturalisation processes, but also migration, asylum and refugee policies and more generally border control. The examples are taken from a broad selection of countries. They have been chosen for illustrative purposes only. Keywords: arbitrariness, discretion, arbitrary power, forms of arbitrary power, borders, migration policy, citizenship policy