Miracle-dz/UniFAR-FTUs huggingface dataset:
The Antiseptic Octenidine Inhibits Langerhans Cell Activation and Modulates Cytokine Expression upon Superficial Wounding with Tape Stripping

Ideal agents for the topical treatment of skin wounds should have antimicrobial efficacy without negative influence on wound healing. Octenidine (OCT) has become a widely used antiseptic in professional wound care, but its influence on several components of the wound healing process remains unclear. In the present study, we have used a superficial wound model using tape stripping on human full-thickness skin ex vivo to investigate the influence of OCT on epidermal Langerhans cells (LCs) and cytokine secretion pattern of skin cells during wound healing in a model without disruption of the normal skin structure. Histological and immunofluorescence studies showed that OCT neither altered human skin architecture nor the viability of skin cells upon 48 hours of culture in unwounded or wounded skin. The epidermis of explants and LCs remained morphologically intact throughout the whole culture period upon OCT treatment. OCT inhibited the upregulation of the maturation marker CD83 on LCs and prevented their emigration in wounded skin. Furthermore, OCT reduced both pro- and anti-inflammatory mediators (IL-8, IL-33, and IL-10), while angiogenesis and growth factor mediators (VEGF and TGF-β1) remained unchanged in skin explant cultures. Our data provide novel insights into the host response to OCT in the biologically relevant environment of viable human (wounded) skin.
Low-Voltage CMOS Voltage-Mode Divider and Its Application

SUMMARY A CMOS voltage-mode divider, which can operate for low supply voltage and low power dissipation, is presented in this paper. The proposed voltage-mode divider can be used to realize a pseudo-exponential function generator. The experimental results of the proposed voltage-mode divider show that, under the supply voltage VDD=2.5 V, the linearity error is less than 1.18% and the power consumption is only 102µW. Also the proposed pseudo-exponential function generator exhibits a 15 dB output dynamic range and the linear error is less than1.54%. Both the proposed circuits have been fabricated in a 0. 5µm N-well CMOS 2P2M process. The proposed circuits are expected to be useful in analog signal processing applications.
The Impact of Effective Work Design in Achieving Profitability in Organization ( A Case Study of Selected Companies in Nigeria )

Work design or job design is very important and so viable that organizations cannot do without it. If such organizations want to succeed and even achieve their goals and objectives, reliance on the skills and knowledge of their operations and employees to deliver products and services to the market place is an imperative. Deploying and sustaining a highly technical job design for the organization requires a strong management commitment towards effective initial and on-going operations. As a result of focusing on the need for employees to work to their full potential, manufacturing industry system efficiency will be optimized and the retention of workers strengthened. The problem under focus was to assess the impact of effectiveness of work design on profitability, using Selected Companies in Nigeria as a case study. Furthermore, the data obtained from secondary sources were analyzed and the hypothesis formulated tested using regression analysis. The result from the hypothesis tested revealed that there is a significant relationship between investment in work design and profit of Selected Companies in Nigeria. Based on our findings we recommended that: Companies should always remember to consider the potentials of its work design at the organization, activity, and individual levels, rather than outsourcing the designing of its work, Companies should train their employees. Finally, since investment in work design enhances company’s profit, the companies under review and indeed other sectors as well should invest more in the designing of their jobs.
Corrosion Protection and Surface Treatment of Magnesium Alloys Used for Orthopedic Applications

An overview is reported about the history of prevailing magnesium alloys as orthopedic biodegradable materials. Important features of the effect of alloying additions, along with surface treatments for corrosion protection of magnesium alloys, are described. Hydroxyapatite (HA), the promising coat deposited by different direct and electrochemical methods to tailor corrosion resistance and biocompatibility, is discussed. Surface modifications, such as microarc oxidation or anodization which lead to nanostructures fabricated to provide better adhesion for HA coatings, are presented.
A rticle Fast T rack Earliest Holozoan Expansion of Phosphotyrosine Signaling

Phosphotyrosine (pTyr) signaling is involved in development and maintenance of metazoans’ multicellular body through cell-to-cell communication. Tyrosine kinases (TKs), tyrosine phosphatases, and other proteins relaying the signal compose the cascade. Domain architectures of the pTyr signaling proteins are diverse in metazoans, reflecting their complex intercellular communication. Previous studies had shown that the metazoan-type TKs, as well as other pTyr signaling proteins, were already diversified in the common ancestor of metazoans, choanoflagellates, and filastereans (which are together included in the clade Holozoa) whereas they are absent in fungi and other nonholozoan lineages. However, the earliest-branching holozoans Ichthyosporea and Corallochytrea, as well as the two fungi-related amoebae Fonticula and Nuclearia, have not been studied. Here, we analyze the complete genome sequences of two ichthyosporeans and Fonticula, and RNAseq data of three additional ichthyosporeans, one corallochytrean, and Nuclearia. Both the ichthyosporean and corallochytrean genomes encode a large variety of receptor TKs (RTKs) and cytoplasmic TKs (CTKs), as well as other pTyr signaling components showing highly complex domain architectures. However, Nuclearia and Fonticula have no TK, and show much less diversity in other pTyr signaling components. The CTK repertoires of both Ichthyosporea and Corallochytrea are similar to those of Metazoa, Choanoflagellida, and Filasterea, but the RTK sets are totally different from each other. The complex pTyr signaling equipped with positive/negative feedback mechanism likely emerged already at an early stage of holozoan evolution, yet keeping a high evolutionary plasticity in extracellular signal reception until the co-option of the system for cell-to-cell communication in metazoans.
EXTREME VALUE ANALYSIS WITHOUT THE LARGEST VALUES: WHAT CAN BE DONE?

Abstract In this paper, we are concerned with the analysis of heavy-tailed data when a portion of the extreme values is unavailable. This research was motivated by an analysis of the degree distributions in a large social network. The degree distributions of such networks tend to have power law behavior in the tails. We focus on the Hill estimator, which plays a starring role in heavy-tailed modeling. The Hill estimator for these data exhibited a smooth and increasing “sample path” as a function of the number of upper order statistics used in constructing the estimator. This behavior became more apparent as we artificially removed more of the upper order statistics. Building on this observation we introduce a new version of the Hill estimator. It is a function of the number of the upper order statistics used in the estimation, but also depends on the number of unavailable extreme values. We establish functional convergence of the normalized Hill estimator to a Gaussian process. An estimation procedure is developed based on the limit theory to estimate the number of missing extremes and extreme value parameters including the tail index and the bias of Hill's estimator. We illustrate how this approach works in both simulations and real data examples.
JazzGAN : Improvising with Generative Adversarial Networks

For the purpose of creating a jazz teaching tool in the open-source Impro-Visor (Improvisation Advisor) application, we trained JazzGAN, a generative adversarial network (GAN) using recurrent neural networks (RNN) to improvise monophonic jazz melodies over chord progressions. Improvising jazz melodies creates several challenges not addressed by previous generative adversarial neural networks for music generation, including (1) frequent and diverse key changes; (2) unconventional and off-beat rhythms; (3) flexibility with off-chord notes. To address these issues, we compare the performance of several data representations with JazzGAN and propose the use of harmonic bricks for phrase segmentation. We define metrics to quantify the aforementioned issues, compare several data encodings of rhythm, and show that JazzGAN compares favorably against Magenta’s ImprovRNN.
Title Evaluation of Isotopic Abundance Ratio and Structural Properties of Magnesium Gluconate After Treatment with the Energy of Consciousness Using LC-MS and NMR Spectroscopy

The current research work was aimed to investigate the impact of The Trivedi Effect Energy of Consciousness Healing Treatment (Biofield Energy Healing) on the structural properties and isotopic abundance ratio (PM+1/PM) of magnesium gluconate using LC-MS and NMR spectroscopy. Magnesium gluconate was divided into two parts. One part was denoted as the control, while the another part was defined as The Trivedi Effect ® Treated sample, which received the Biofield Energy Healing Treatment remotely from eighteen renowned Biofield Energy Healers. The total ion chromatogram of the control sample showed two peaks at Rt of 1.81 and 2.06 min, whereas the treated sample displayed peaks at Rt of 1.79 and 2.04 min. The ESI-MS spectra of the control and the treated samples revealed the presence of the mass for magnesium gluconate ion in two forms at m/z 447 (adduct form with methanol) and 415 (protonated ion) in positive ionization mode. But, it showed the mass for the gluconate ion at m/z 195 in the negative ionization mode. The fragmentation pattern of magnesium gluconate in the treated sample was notably altered compared with the control sample. The proton and carbon signals for CH, CH2 and CO groups in the proton and carbon NMR spectra were found almost similar for the control and treated samples. The LC-MS based isotopic abundance ratio analysis indicated that the PM+1/PM ( 2 H/ 1 H or 13 C/ 12 C or 17 O/ 16 O or 25 Mg/ 24 Mg) in the treated magnesium gluconate ion at m/z 415 was significantly decreased by 79.24% compared with the control sample. Similarly, the isotopic abundance ratio of PM+1/PM ( 2 H/ 1 H or 13 C/ 12 C or 17 O/ 16 O) in the gluconate ion was decreased by 6.62% in the treated sample compared with the control sample. The treated magnesium gluconate might be beneficial in the nutraceutical and/or pharmaceutical industries for designing various forms of formulations, which could be providing better therapeutic response against various diseases such as diabetes mellitus, allergy, aging, inflammatory diseases, immunological disorders, and other chronic infections. Consequently, The Trivedi Effect ® Energy of Consciousness Healing Treated 2 Mahendra Kumar Trivedi et al.: Evaluation of Isotopic Abundance Ratio and Structural Properties of Magnesium Gluconate After Treatment with the Energy of Consciousness Using LC-MS and NMR Spectroscopy magnesium gluconate would be more helpful for understanding the enzymatic reactions as well as assist in the designing of the novel potent enzyme inhibitors by applying its kinetic isotope effects.
ALTERNATIVE TO HIGHER CRITICISM FOR HIGH-DIMENSIONAL MEANS UNDER SPARSITY AND COLUMN-WISE DEPENDENCE By

We consider two alternative tests to the Higher Criticism test of Donoho and Jin [Ann. Statist. 32 (2004) 962–994] for high-dimensional means under the sparsity of the nonzero means for sub-Gaussian distributed data with unknown column-wise dependence. The two alternative test statistics are constructed by first thresholding L1 and L2 statistics based on the sample means, respectively, followed by maximizing over a range of thresholding levels to make the tests adaptive to the unknown signal strength and sparsity. The two alternative tests can attain the same detection boundary of the Higher Criticism test in [Ann. Statist. 32 (2004) 962–994] which was established for uncorrelated Gaussian data. It is demonstrated that the maximal L2-thresholding test is at least as powerful as the maximal L1-thresholding test, and both the maximal L2 and L1-thresholding tests are at least as powerful as the Higher Criticism test.
Prognostic value and the changes of plasma levels of secretory type II phospholipase A 2 in patients with coronary artery disease undergoing percutaneous coronary intervention

Aim To evaluate the serial changes of plasma secretory type II phospholipase A2 (sPLA2), C-reactive protein (CRP) and cardiac injury markers in coronary artery disease (CAD) patients undergoing percutaneous coronary intervention (PCI) and their prognostic impacts. Methods and results Plasma levels of sPLA2, CRP, creatine kinase (CK), CK-MB and troponin-T were measured in 247 consecutive CAD patients receiving PCI procedure and 100 control subjects without CAD. In CAD group, serial blood samples were taken before coronary angiography, after coronary angiography, immediately after PCI, 24-h and 48-h after PCI. The sPLA2 and CRP levels did not change after coronary angiography. The level of sPLA2 significantly increased immediately after PCI. Creatine kinase and cardiac injury markers did not rise immediately after PCI, but elevated significantly at 24 h after intervention. After a 2-year follow up, increased sPLA2 (>450 ng/ dl) after PCI, smoking and diabetes mellitus were the independent risk factors for subsequent coronary events (odds ratios 2.1, 2.3 and 3.1, respectively) in patients with CAD. Conclusion The present study showed that PCI might cause immediate elevation of circulating levels of sPLA2 following the mechanical disruption of coronary plaque, and the elevated level of sPLA2 had significant prognostic impact. © 2003 The European Society of Cardiology. Published by Elsevier Ltd. All rights reserved.
On well generated triangulated categories

This thesis explores the relation between module categories over small differential graded (abbreviated DG) categories on the one hand, and well generated triangulated categories on the other. In the first part, we construct the $\alpha$-continuous derived category D_\alpha A of a homotopically $\alpha$-cocomplete small DG category A, where $\alpha$ is a regular cardinal. This construction enjoys a useful and beautiful property which is the key technical result for proving the main theorem of the thesis. The categories D_\alpha A turn out to be the prototypes of the $\alpha$-compactly generated algebraic triangulated categories. Here algebraic means triangle equivalent to the stable category of a Frobenius category. The main result says that algebraic well generated categories are precisely those which are localizations of the derived category of some small DG category. This result is strongly reminiscent of a 1964 theorem of Gabriel and Popescu, which characterized the Grothendieck abelian categories as localizations of categories of modules over rings. It also gives a positive answer to Drinfeld? s question whether all well generated categories arise as localizations of compactly generated ones, for the class of algebraic triangulated categories. In the second part, we study the categories DA and D_\alpha A using the projective Quillen? s model category structure present on the category of DG modules. We introduce the subcategory of homotopically $\alpha$-compact cofibrant DG modules and we show that its homotopy category is precisely the $\alpha$-continuous derived category D_\alpha A. This enables us to give a second, completely different proof of the key technical result of the first part.
A Smart Delivery Platform for the Smart Cites

The main purpose of building a smart city is to improve the living standard of the citizen by providing various types of smart services with the help of advanced information and communications technologies such as Artificial Intelligence. Among the various types of services, in this paper, we mainly focus on smart delivery service, in order to improve the satisfaction and economy of the citizen. Therefore, we proposed a “Smart Delivery Platform” which enhances the efficiency of the existing delivery services by utilizing Big Data, Artificial Intelligence, blockchain technologies, and crowdsourcing. The goal of this paper is to minimize the cost and duration of delivery. Finally, we simply examine the proposed scheme with the Python-based simulator and the simulation results confirmed that our proposed system reduces the duration of delivery compared to the existing approach.
Endogenous Business Cycles and Growth

Current explanations why a growing economy necessarily goes through booms and recessions predict countercyclical R&D investment. As this is very controversial from an empirical perspective, a stochastic Poissonmodel of endogenous business cycles and growth is presented where the determinants of the cyclical behaviour of R&D investment are analytically studied. Providing an explicit expression for the expected length of a cycle shows that high frequency fluctuations can indeed be understood by this approach. It is also shown how small technological improvements translate into large aggregate fluctuations.
Kidney Diseases beyond Nephrology What ’ s new in hypertension ?

This editorial comment intends to inform readers of Nephrology Dialysis and Transplantation once a year on new information in the field of hypertension that has not been published in nephrological journals. We will review manuscripts from early 2005 to autumn 2006. Obviously, the choice of topics and manuscripts will be very subjective. Information on hypertension is published—apart from nephrology journals—in almost 10 specialty journals of hypertension and in many other areas; Medline lists 9973 citations in 2005 under the term ‘hypertension’, of which 1861 are reviews.
AN EXPERT SYSTEM FOR THE DESIGN AND CLASSIFICATION OF ISLAMIC GEOMETRIC PATTERNS USING COMPUTER GRAPHICS

Islamic geometric patterns (IGP) have often presented an enduring historic reverence to those who have strived to present a sensible classification of these structures. They are complex, beautiful structures, which combine elements of art, with elements of mathematics, especially relating to geometric patterns. This article proposes an innovative approach to classify and design IGP using computer aided technologies. The researcher surveyed many existing methodologies regarding the classification of IGP like 7-frieze patterns, 17-wallpaper patterns theories and design approaches based on principles of classical gridding systems. The proposed methodology suggests a system which can design classification of a pattern (collection of unit patterns) and classification of a design (a collection of grids and geometric attributes). The Classification of a pattern consists of repeating the unit base pattern by isometric transformations (translation, mirroring, rotation and glide reflections) to generate a pattern that can be classified as 7-frieze patterns or the 17-wallpaper patterns. Classification of a design involves the normalization of the grids and geometries. In this paper, the researcher also presented an argument that those pattern theories are purely base models. The researcher has been successful in developing a new method of classification rightly validated by geometric and scientific analysis. The researcher succeeded in developing software that draws the grids of any IGP star/rosette design and displays its classification instantly. So, the approach can be considered as a measurable method of classification for any given Islamic geometric design. The software is enabled to detect and classify the IGP star/rosette sub-motif grid from its gridding system of classification which will allow the user to explore and design the sub-motif pattern, motif pattern, unit pattern and finally the pattern in x-y direction.
A methodology using health and usage monitoring system data for payload life prediction

This paper presents a methodology to monitor the fatigue life of aerospace structures and hence the remaining allowable fatigue life. In fatigue clearance, conservative load assumptions are made. However, in reality, a structure may see much lower loads and so would be usable for much longer. An example of this is air carried guided missiles. In the UK, missiles must be decommissioned after a period of carriage. The implementation of a system that can monitor the usage of a missile during its time in service is advantageous to the military customer and provides a competitive advantage for the missile manufacture in export markets where reduced through-life costs, longer in-service lives and increased safety are desired. The proposed methodology provides a means to monitor the service life of a missile. This paper describes how machine learning algorithms can be used with accelerometers to determine loads on a missile structure which would then be used to predict how long the missile has left in service.
Service for Professional Predictive Learning of Skills based on the Patent Analysis of Technologies

In the high-tech and intensively developing sectors of the economy, including the IT industry, the composition of the professional skills and competencies necessary for successful work of specialists is rapidly changing. This is happening due to the dynamics of the composition and capabilities of key and applied technologies. Experts working in the IT industry have to constantly monitor changes in approaches of building architectures and the computational/software systems themselves. Under such conditions, the information-computing service is important, allowing in an automated mode to identify trends in the development of technologies and their corresponding professional skills. Taking into account these trends, it is possible to specifically improve the skills of specialists, adjust the curriculum of universities, centers for professional advancement, etc. As the basis for identifying trends in technology development, the authors of the article proposed to use information from international patent databases. The reason is that large IT companies execute many patents before releasing a new high-tech solution (hardware or software) to the market. In the future the use of these patents in the output leads to changes in the composition of the professional skills of specialists in demand in the labor market. The article analyzes the current demand for IT professionals by employers in the labor market on request in the relevant information systems. The possibilities of using professional social networking sites for recruiting personnel by organizations, searching for jobs by specialists are considered. A prototype of the predictive learning service for the professional social networking site was developed. It provides the following: monitoring of the demand for professional skills in the labor market; the analysis of patents on technologies that are the basis for each of the existing and projected professional skills. The developed service will allow determining the levels of demand for professional skills; actualizing and improving the job seekers’ professional skills; organizing the professional social networking sites; to form personal programs of training on promising technologies. Keywords—Online social networks; social networking sites; technology life cycle; predictive learning; patent activity analysis; professional skills; topic detection; LinkedIn; ResearchGate; labor market; scalable services; decision making support; Node.JS