Miracle-dz/UniFAR-FTUs huggingface dataset:
Comparison of Adipose-Derived Stem Cells and Bone Marrow Stromal Cells in Prolonged Passages Based on Viability and Auto-Differentiation

Background and Objective: Adipose tissue-derived stem cells (ADSCs) are very similar in their cell properties to bone marrow stromal cells (BMSCs) and can be a suitable alternative for cell therapy trials. The purpose of this study is comparison of adipose-derived stem cells (ADSCs) and bone marrow stromal cells (BMSCs) in prolonged passages based on viability and auto-differentiation toward adipocytes and osteocytes, respectively. Materials and Methods: In this experimental study, stem cells were harvested from adipose tissue and bone marrow, then, at different cell passages the percentage of dead cells was assessed by live and dead cells assay and spontaneous differentiation toward adipocytes and osteocytes evaluated using Oil Red O and Alizarin red staining, respectively. T-test and one-way ANOVA statistical analysis was used for assessment of obtained data. Results: Attained results of this study showed that the mean percentage of death cells during 5th, 10th and 15th for BMSCs were (2.26±0.36, 3.39±0.45, 6.92±0.95) and for ADSCs were (0.7±0.19, 0.89±0.39, 3.23±0.55), respectively. Also spontaneous differentiation into bone-forming cells of ADSCs and BMSCs in 15th passage shown significant difference for BMSCs (3.25± 0.38) and ADSCs (0.48±0.3) (p less-than 0.05). Our data show that ADSCs did not spontaneously adipogenic differentiate during 15th passage, but adipogenic differentiation for BMSCs was positive (1.07±0.24). Conclusion: Considering of the percentage of dead cells and spontaneous differentiation with long passages revealed that ADSCs can be a suitable alternative source for BMSCs in therapeutic applications. Key words: Adipose tissue-derived stem cells, Bone marrow stromal cells, Spontaneous differentiation, Survival cells Funding: This research was funded by Ardabil branch, Islamic Azad University of Medical Sciences. Conflict of interest: None declared. Ethical approval: The Ethics Committee of Tarbiat Modarres University of Medical Sciences approved the study. How to cite this article: Abdanipour A.R, Noori-Zadeh A, Mohamadi Z, Rashid Sheykh Ahmad F, Akbari P . Comparison of Adipose-Derived Stem Cells (ADSCs) and Bone Marrow Stromal Cells (BMSCs) in Prolonged Passages Based on Viability and Auto-Differentiation. J RafsanjanUniv Med Sci 2015 13(12): 1141-52. [Farsi]
Security issues on digital watermarking algorithms

This paper gives a general introduction to the digital watermarking procedures and their security aspects. The first issue is to clarify unifying and differentiating properties of steganography and watermarking. Then the most important aspects of digital watermarking are reviewed by studying application, requirement and design problems. We put emphasis on the importance of digital watermark as an effective technology to protect intellectual property rights and legitimate use of digital images. In the paper we provide an overview of the most popular digital watermarking methods for still images available today. The watermarking algorithms are divided into two major categories of spatial and transform domains. Because of outstanding robustness and imperceptibility the transform domain algorithms are the mainstream of research. Popular transforms of images include the DFT (Discrete Fourier Transform) ([1, 2, 3, 4, 5]), DCT (Discrete Cosine Transform) ([1, 3, 6, 5]) and DWT (Discrete Wavelet Transform) ([1, 3, 4, 7, 6, 5]). In the paper we emphasize the advantageous features of DWT such as local time-frequency and multi-scale analysis, preserving the quality of host image and ensuring high robustness of watermark. Finally, we present three algorithms which are based on the combination of DWT and some other transformations like DFT ([4]), DCT ([6]) and the Arnold transform ([7, 6]). Finally, we discuss security requirements and possible attacks on the watermarking systems.
Cross–lingual mappings of contextual word embedding ELMo

To work with textual data, machine learning algorithms, in particular, neural networks, require word embeddings – vector representations of words in high-dimensional space. There are languages with a small amount of available resources. Exploiting the knowledge from the well-resourced languages for under-resourced languages is possible with cross-lingual embeddings by aligning the embeddings of one language with the vector space of another language. Existing methods for aligning embeddings are intended for context-independent embeddings, where every word has one representation. We propose a method, based on a dictionary and a parallel corpus aligns contextual embeddings, which capture more information about the context in which words appear. The proposed method requires a small amount of bilingual data, which is available for many language pairs. We empirically show that the proposed method outperforms the baseline obtained by alignment of context-independent embeddings.
Comment Sauer:MasterPaper.qxd.qxd

Nanotechnology is increasingly being used in industry for the production and processing of human food and animal feed. For example, nanomaterials are added to food contact materials to monitor and improve food quality and freshness. Although food packaging makes up the largest share of current and short-term predicted applications, nanomaterials are also added directly to food to prolong shelf-life, modify its taste, texture, sensation, consistency or fat content, and to enhance nutrient absorption (1). Currently, there are no legal information requirements for assessing the specific risks of nanomaterials in food and animal feed — or in any other area of nanomaterial application. Following a request from the European Commission (EFSA-Q 2009-00942), early in 2011, the Scientific Committee of the European Food Safety Authority (EFSA) published a draft guidance document on the risk assessment of manufactured nanomaterials to be used in human food and animal feed. This guidance document builds on the EFSA’s Scientific Opinion — Potential Risks Arising from Nanoscience and Nanotechnologies on Food and Feed Safety (1), which considers current toxicity testing approaches as a suitable starting point to assess nanomaterials. It acknowledges that the adequacy of existing test methods has yet to be established, so that any individual risk assessment is likely to be subjected to a high degree of uncertainty. The draft guidance document underwent a public consultation from 14 January to 25 February 2011. Then, on 9 April 2011, the Scientific Committee adopted a revised version. The finalised Scientific Opinion — Guidance on the risk assessment of the application of nanoscience and nanotechnologies in the food and feed chain was published on 10 May 2011 (2). On the same day, the results of the public consultation were made available on the EFSA website (at: http://www.efsa.europa.eu/de/supporting/ pub/126e.htm? wtrl=01). The EFSA guidance document on risk assessment of nanomaterials in food and animal feed (referred to as the Guidance) encompasses applications of nanotechnologies throughout the entire Eating Nanomaterials: Cruelty-free and Safe? The EFSA Guidance on Risk Assessment of Nanomaterials in Food and Feed
Identification of Territorial Industrial Clusters of Russian Economy in View of Their Involvment into the Development of the State Innovation Policy

The article is devoted to the important role of clusters in the innovative development of the economy. The article reviews the particularities and regulatory support of the modern clustering policy of the Russian Federation. The results of the activities of 25 pilot innovative territorial cluster-leaders of the Russian Federation in terms of investment potential in 2012-2018 were estimated in the article. The original method of identification of the innovative territorial clusters was suggested in the article, its main advantages being universalism, comprehensiveness and credibility. Using this methodology, the authors of the article identified the territorial industrial clusters and ranged them according to their innovation potential
Increasing transformation efficiency by topoisomerase II and its application for cloning of a γ-hexachlorocyclohexane dehydrochlorinase gene linA-like from a bacterial community

A simple modification was developed for construction of genomic/metagenomic libraries by T-vectors. Topoisomerase II was employed to introduce superhelical turns into relaxed circular T-A recombinant molecules, which greatly increased the transformation efficiency. By using this technique, a metagenomic library was constructed and a γ-hexachlorocyclohexane dehydrochlorinase gene linA-like was screened from it.
Development Of The Epidemiological Analysis Of Chlamydia Trachomatis Among Male And Female Genders In Osun State

In this paper, an epidemiological study and analysis of Chlamydia trachomatis infections among the male and female gender in Osun State was presented describing the rate of change of the infections occurring among the various genders. The study was done using a system developed with SwishMAX and Xampp for control panel, while Apache HTTP server was used for the backend and MySQL for the database. PHP and Perl programming languages were used as interpreters. A localhost was connected to an FTP client with HTML as the embedded web-scripting language. The system uses both the server-side and client-side for the implementation to house the application logic layer, the database layer with a browser that is used as a handler for the presentation layer on which to run the applications. This is limited on the data collected on Chlamydia Trachomatis infections from Ladoke Akintola University of Technology Teaching hospital, Oshogbo. The implementation results are presented graphically and discussed. It was discovered that there is a fluctuation of rises occurrence among the different genders but had its peak increase in both genders in the year 2002 due to the level of awareness and changes in the method employed in the control program. Keywords—Chlamydia Trachomatis, Epidemiological analysis, SwishMAX Tools, Infections, Male and Female, Gender
Seed Priming, A Re-discovered Old Method

Copyright © 2018 Magda Pál. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and work is properly cited. Rapid and uniform seedling emergence is a basic requirement for crop production, especially under adverse environmental conditions. Techniques that favourably influence the germination and growth of plants have a direct impact on final yield as the treated plants are more robust and resistant to biotic or abiotic stress factors [1]. The easiest way to do this is to sort the seeds and discard those that are too small and possibly damaged. There are two basic groups of actual seed treatment: dressing and soaking. Dressing is the treatment of a seed using chemical substances, the active ingredient of which do not enter the seed. The purpose of this process is to destroy pathogenic substances on the surface of seeds or in the soil. In contrast to this, soaking is a method of seed treatment that stimulates growing, thus reducing germination time and making it more uniform.
Calibration of Axial Fisheye Cameras Through Generic Virtual Central Models

Fisheye cameras are notoriously hard to calibrate using traditional plane-based methods. This paper proposes a new calibration method for large field of view cameras. Similarly to planar calibration, it relies on multiple images of a planar calibration grid with dense correspondences, typically obtained using structured light. By relying on the grids themselves instead of the distorted image plane, we can build a rectilinear Generic Virtual Central (GVC) camera. Instead of relying on a single GVC camera, our method proposes a selection of multiple GVC cameras which can cover any field of view and be trivially aligned to provide a very accurate generic central model. We demonstrate that this approach can directly model axial cameras, assuming the distortion center is located on the camera axis. Experimental validation is provided on both synthetic and real fisheye cameras featuring up to a 280deg field of view. To our knowledge, this is one of the only practical methods to calibrate axial cameras.
Measurement of quality of life in asthmatic children aged less than 5 years

Childhood asthma is one of the most common chronic disorders with high prevalence and morbidity resulting in significant personal, familial, and social consequences in children. In India also, prevalence of childhood asthma is constantly increasing over last two decades [1]. Asthma in children under 5 years of age requires a special attention as asthma at a younger age may affect pulmonary development adversely, resulting in reduced lung function later in life. Young children are also likely to experience more emergency department visits and re-admissions as compared to older asthmatics [2]. Studies have shown that early childhood wheezers and asthmatics have a poor quality of life (QOL) as compared to non-wheezers, and better asthma control has been positively linked to better QOL [3,4].
Auto-Encoding Meshes of any Topology with the Current-Splatting and Exponentiation Layers

Deep learning has met key applications in image computing, but still lacks processing paradigms for meshes, i.e. collections of elementary geometrical parts such as points, segments or triangles. Meshes are both a powerful representation for geometrical objects, and a challenge for network architectures because of their inherent irregular structure. This work contributes to adapt classical deep learning paradigms to this particular type of data in three ways. First, we introduce the current-splatting layer which embeds meshes in a metric space, allowing the downstream network to process them without any assumption on their topology: they may be composed of varied numbers of elements or connected components, contain holes, or bear high levels of geometrical noise. Second, we adapt to meshes the exponentiation layer which, from an upstream image array, generates shapes with a diffeomorphic control over their topology. Third, we take advantage of those layers to devise a variational auto-encoding architecture, which we interpret as a generative statistical model that learns adapted low-dimensional representations for mesh data sets. An explicit norm-control layer ensures the correspondence between the latent-space Euclidean metric and the shape-space log-Euclidean one. We illustrate this method on simulated and real data sets, and show the practical relevance of the learned representation for visualization, classification and mesh synthesis.
Powers of Complex Persymmetric Antitridiagonal Matrices with Constant Antidiagonals

Solving some difference, differential, and delay differential equations, we meet the necessity to compute the arbitrary positive integer powers of squarematrix. Recently, computing the integer powers of antitridiagonal matrices has been a very popular problem. There have been several papers on computing the positive integer powers of various kinds of square matrices by Rimas et al., and others [1–5]. In 2011, the general expression for the entries of the power of complex persymmetric or skew-persymmetric antitridiagonal matrices with constant antidiagonals is presented by GutiérrezGutiérrez [1]. Rimas [2] gave the general expression of thepth power for this type of symmetric odd order antitridiagonal matrices (antitridiag n (1, 0, 1)) in 2008. In [3, 4] a similar problem is solved for antitridiagonal matrices having zeros in main skew diagonal and units in the neighbouring diagonals. In 2010, the general expression for the entries of the power of odd order antitridiagonal matrices with zeros in main skew diagonal and elements 1, 1, . , 1; −1, −1, . , −1 in neighbouring diagonals is derived by Rimas [5]. In 2013, Rimas [6] gave the eigenvalue decomposition for real odd order skew-persymmetric antitridiagonal matrices with constant antidiagonals (antitridiag n (a, b, a)) and derived the general expression for integer powers of such matrices. In the present paper, we derive a general expression for the pth power (p ∈ N) of any complex persymmetric antitridiagonal matrices with constant antidiagonals (antitridiag n (b, a, b)). This novel expression is both an extension of the one obtained by Rimas for the powers of the matrix antitridiag n (1, 0, 1) with n ∈ N (see [2] for the odd case and [5] for the even case) and an extension of the one obtained by Honglin Wu for the powers of the matrix antitridiag n (1, 1, 1) with n ∈ N (see [3] for the even case).
Exchange Rate Volatility and Optimum Currency Area: Evidence from Africa

In this paper we use a system of simultaneous equations and Generalized Method of Moment (GMM) to investigate the relation between bilateral exchange rate volatility and the relevant variables pointed out by the theory of optimum currency areas (OCA) for 21 selected African countries for the period 1990-2003. The evidence turns out to be strongly supported by the data. An OCA index for African countries is derived by adapting a method initially proposed by Bayoumi and Eichengreen (1997). The results have important policy implications for proposed monetary unions in Africa. Citation: Bangaké, Chrysost, (2008) "Exchange Rate Volatility and Optimum Currency Area: Evidence from Africa. " Economics Bulletin, Vol. 6, No. 12 pp. 1-10 Submitted: December 13, 2007. Accepted: March 26, 2008. URL: http://economicsbulletin.vanderbilt. edu/2008/volume6/EB-07F30021A.pdf
Ants in brown bear diet, and discovery of a new ant species for Estonia from brown bear scats

Acknowledgements We would like to dedicate this article to the memory of Dr. AntsJohannes Martin, the best and foremost myrmecologist in Estonia, whose contribution to this work was crucial. He helped to identify large majority of the ant species for this study and assisted in planning the field works for the ant inventory. We are very grateful also to Ave Lind, a former student of A-J. Martin, for helping to identify the ant species. We thank two anonymous reviewers for their helpful comments and suggestions. This study was supported by the Environmental Investment Centre at the Estonian Ministry of Finance, The European Union through the European Regional Development Fund (Center of Excellence FIBIR), target financing grants SF0180122 and SF0170057, and institutional research funding grant IUT20-32 from the Estonian Ministry of Education and Science. Abstract
Underwater superoleophobic porous hydrogel film prepared by soluble salt-template method for oil/water separation in complex environments

A porous calcium alginate/Ag nanoparticles (Ca-ALG/Ag) hydrogel film with superhydrophilic and underwater superoleophobic properties is fabricated through an eco-friendly “soluble salt-template method”. Taking advantage of the environmental stability of calcium alginate and the freestanding porous structures, the Ca-ALG/Ag hydrogel film can selectively and effectively separate oil/water mixtures in highly acidic, alkaline, and salty environments. The introduction of Ag nanoparticles enhances the superoleophobicity, also provides antibacterial activities against Escherichia coli (Gram negative bacterium) and Staphylococcus aureus (Gram positive bacterium). This Ca-ALG/Ag hydrogel film is stable, antibacterial, eco-friendly and reusable, which shows potential use for oil spill cleanup and oily wastewater treatment in practical complex environments. Furthermore, the “soluble salt-template method” brings a new strategy to prepare other hydrogel films with macro-porous structures for oil/water separation.
Design and implementation of CORBA security service

CORBA is a new generation of distributed computing platform based on the distributed object computing technology, and security is always a fundamental problem of a distributed computing platform. Thus, implementation of a security service in the CORBA platform is very important. Referring to the related security standards and distributed computing platform's security models, the CORBA security service in this paper is designed and implemented conforming to the CORBA Security Service Specification (v1.0). In addition, the necessity of supporting the object invocation monitor in ORB is proposed based on our work on the CORBA security service.
The New Decoding Method of Rate Compatible LDPC Codes Based on the IR-HARQ Schemes

This paper proposes a new decoding method based on IR_HARQ scheme that uses rate-compatible LDPC codes as the FEC codes. And it can use the former decoding result, which can improve the performance of decoding scheme. This paper also evaluates the new decoding method by simulation. The results show that better performance both on system throughput and iterative times can be obtained.
Artificial Immunology Based Anti-Pollution P2P File Sharing System

The problem of file pollution is prevalent in P2P file sharing system nowadays. The pollution reduces the availability of system dramatically. As the same as immune system, P2P file sharing system is also highly distributive, self-adaptive and self-organized. Artificial immunology based anti-pollution object reputation mechanism is established to select neighbor peer set and improve the system availability. Vector space similarity is computed to weight the votes collected from other peers. Horting graph-theoretic approach is employed to deal with the data sparsity problem. Self-adaptive reputation threshold scheme is adopted to estimate the file authenticity. Simulation results show that the system can distinguish between good and polluted files accurately and thwart the proliferation of pollution in the network with low communication cost.
Content-adaptive spatial error concealment for video communication

When bit errors occur during, transmission and cannot be corrected by an error correction scheme, error concealment is needed to mask the damaged image at receiver. In this paper, a content-adaptive spatial error concealment algorithm is presented. By using edge information extracted from the surrounding blocks, the proposed algorithm firstly classifies each error block (EB) into one of three categories with different contents. And then the EB is reconstructed by appropriate methods to the category of it belonging to. Experimental results demonstrate that the proposed algorithm obtain good subjective quality whether the content in the EB is with high or low details.
Mobile agent-based architecture for large-scale CVE

Collaborative virtual environment (CVE) is a promising technology which provides people a 3D shared virtual world over the networks, where participants can interact with each other more naturally. However, the scalability of existing CVE system is limited due to the constraints in processing power and network speed of each participating host. On the other hand, mobile agent is a new paradigm for the network-centric programming which can implement distributed applications in an open and dynamically changing environment. In this paper, a mobile agent-based architecture for large-scale CVE (LCVE) is proposed to support a large number of concurrent participants in a VE with a large amount of evolving virtual entities. The LCVE software system is made up of mobile agents. And each mobile agent will be responsible for an independent task for the LCVE. With the mobility and autonomy of mobile agents, LCVE software system will be extensible; the workload in the LCVE will be balanced dynamically; the management of LCVE contents will be autonomous at agent level.