Miracle-dz/UniFAR-FTUs huggingface dataset:
MicroRNAs and regulated interaction networks reveal differences between adult and pediatric acute myeloid leukemia.

OBJECTIVES The purpose of this study was to identify featured microRNAs and their regulated network between adult and pediatric acute myeloid leukemia (AML) and find potential utility as biomarkers for diagnosis and treatment of pediatric AML. METHODS We downloaded the microRNA expression dataset GSE35320 from Gene Expression Omnibus database and selected expression chips from bone marrow of 71 pediatric AML samples and 6 adulthood AML samples. Differentially expressed microRNAs were identified by Wilcox test. The target genes of these microRNAs were predicted using an integrative method and their functional enrichment analysis was performed using DAVID. Finally, STRING database and Cytoscape software was used to construct and analyze the interaction network. RESULTS A total of 7 differentially expressed microRNAs were identified and the remarkably up-regulated and down-regulated microRNAs were miR-16 and miR-142-5p which included 323 and 22 predicted target genes, respectively. The target genes of 7 microRNAs were most associated with regulation of cell cycle, p53 signaling pathway, Wnt signaling pathway and neurotrophin signaling pathway. The interaction network of miR-16 target genes was constructed among 354 high confidence interaction pairs. The core genes of the network, such as TP53, BCL2, VEGFA, had a role in prognosis of children with AML. CONCLUSIONS The featured microRNAs and their target genes are significant in the occurrence and development of pediatric AML, which is likely to be important for the identification of therapeutic targets and biomarkers for these patients.
Expectations and beliefs in science communication

There is widespread agreement that the potential of gene therapy was oversold in the early 1990s. This study, however, comparing written material from the British, Danish and German gene therapy discourses of the period, finds significant differences: over-optimism was not equally strong everywhere; gene therapy was not universally hyped. Against that background, attention is directed towards another area of variation in the material: different basic assumptions about science and scientists. Exploring such culturally rooted assumptions and beliefs and their possible significance to science communication practices, it is argued that deep beliefs may constitute drivers of hype that are particularly difficult to deal with. To participants in science communication, the discouragement of hype, viewed as a practical-ethical challenge, can be seen as a learning exercise that includes critical attention to internalised beliefs.
Mythmakers and Meaning Merchants : Poetic Brandscapes in New Zealand

Every poet who takes language seriously is working against a culture of clear marketable meanings’ states New Zealand poet and curator Gregory O’Brien. The understanding of the sourcing of artistic inspiration against a contemporary backdrop of pervasive marketable meaning as residing in contemporary brands and brandscapes seems a fundamental building block in the attitudes of free radical artists towards arts marketing. The document explores the methodological dimensions of an investigation into the brand percepts of New Zealand free radical artists from an action research perspective and envisages to linguistically capture their percepts by eliciting lyrical descriptions from major national poets. The research is situated in New Zealand in 2005; against a backdrop of increasingly purposeful governmental marketing efforts to promote national arts and the creative industries in a period of economic success and inspirational homeplaces in a physical landscape that accommodate the branded signs marketable meaning.
EFFECT OF FIRM SIZE ON INNOVATION AMONG MANUFACTURING COMPANIES IN NIGERIA

The relation between firms’ size and innovations has produced confounding theoretical and empirical results. Many earlier authors claim that large firms adopt new innovations more than small firms while few authors argued otherwise. This study sheds light on the relation by investigating the choice of advanced manufacturing technology and modern management accounting practices among the manufacturing companies in Nigeria that are not listed on Nigeria stock exchange. A retrospective longitudinal survey was conducted to examine the usage of advanced manufacturing technology and modern management accounting practices during a period of 5 years (2011-2015). A structured questionnaire was personally administered among the management accountants/Head of accounts and Finance units of 154 manufacturing companies that were randomly sampled from the main directory of manufacturers association of Nigeria. 133 useful completed questionnaires were retrieved. The data were subjected to descriptive analysis and logistic regression. The outcome of the study shows that firms’ size has a significant effect on both manufacturing technology and management accounting practices. Unlike many earlier findings, the study established a negative relation which implies that smaller firms applied advanced manufacturing technology and modern management accounting practices more than larger firms.
Unrestricted Quantification and the Structure of Type Theory

• Users may freely distribute the URL that is used to identify this publication. • Users may download and/or print one copy of the publication from the University of Birmingham research portal for the purpose of private study or non-commercial research. • User may use extracts from the document in line with the concept of ‘fair dealing’ under the Copyright, Designs and Patents Act 1988 (? ) • Users may not further distribute the material nor use it for the purposes of commercial gain.
Enhanced Performance of Developed Two-Step (Hybrid/PMU) Linear State Estimator Model

− This paper proposes a novel hybrid state estimation method. In traditional EMS (Energy Management System), the ordinary hybrid state estimation technique employs both conventional measurements from the SCADA (Supervisory Control and Data Acquisition) and PMU (Phasor Measurements Unit) measurements in the state estimation software. Alternatively PMU measurements can be added through a post-processing or pre-processing step with the results of traditional state estimator to obtain the final estimation results. While this paper presents a new two-step (hybrid/PMU) algorithm where the first step adopts a hybrid state estimation SCADA/PMU and the second step is a linear state estimation comprises PMU measurements and the state vector resulting from the first step; consequently a double hybridization is achieved. Alexandria (330 km north Cairo, Egypt) 22 -bus system is used as case study. The simulation results demonstrate that the proposed algorithm enhances the precision and accuracy of state estimation greatly because the PMU measurements hybridize in two successively steps. Better dynamic behavior as compared with other state estimators is obtained.
Soundscape Clock: Soundscape Compositions That Display the Time of Day

This paper presents an ambient auditory display that communicates the time of day. Four soundscapes represent different quadrants of the clock. Auditory icons divide the quadrants into three parts that represent hours, and four partitions that represent every quarter of an hour. The auditory display is little intrusive and only informative to those who are privy to its principles. Suitable application areas are ofﬁces where staff can derive the time from the soundscape, while customers stay unaware and may only enjoy the calm, auditory nature scene. To experience the calm ambient character of the auditory display we suggest you to play the demo while reading the paper: https://tinyurl.com/y4yd8zkh.
Hybrid Frequency Reuse for Cellular MIMO Systems with Multi-user Diversity

Abstract—In the cellular MIMO systems, the system capacity can be increased with the presence of multi-user diversity (MUD). In this paper, a hybrid frequency reuse algorithm is proposed to realize efficient frequency reuse factor (FRF) allocation for cellular MIMO systems with MUD. As a result, the system capacity will be increased greatly. The system capacities by using the proposed algorithm are theoretically analyzed and the effectiveness of hybrid frequency reuse will be testified by numerical results.
Research for Early Fire Image Recognition Technology in Outdoors

Introduced the gain and preprocessing of suspicious areas and judging rules according to the radiation characteristic property and shape changing characteristic property of fire on its early stage in outdoors.The criterions of fire recognition were studied in detail and five criterions were suggested.In image processing,only suspicious areas were further processed after the whole image were segmented,which improve the system's real-time performance.In the complex situation,this algorithm remains with stronger anti-jamming ability and higher accuracy compared with other flame recognition algorithms.It can recognize street lamps and automotive lamps in the certain degree.
Educational Resources Platform Based on Collective Intelligence

Open Educational Resources (OER) are educational resources openly available to be used by educators and students and are an important tool to support education. A considerable effort has been made to build repositories that allow the sharing and reuse of these OERs. However, many of these repositories offer unsatisfactory search engines, resulting in a frustrating experience for users. The problem of content search is partly explained by the lack of appropriate metadata on resources and the lack of ranking mechanisms, for instance based on user interaction over the educational objects. In this paper, we present the Plataforma Integrada do MEC (MEC’s Integrated Platform), a novel Digital Educational Resources platform, which employs concepts of social networks to create a collective intelligence system to improve and refine search results. Platform users are able to evaluate the available resources and also publish new ones. A ranking is associated with these users and it is used to determine the relevance of their actions on the platform. High ranking users can publish new content that will be considered relevant in the platform, eliminating the need for resources to be evaluated by an expert. Unlike other repositories, where authorization must be given for content publication, on this platform the user has the opportunity to actively contribute with new content. A prototype of this platform was developed, and made available as free software. Preliminary results indicate viability of the proposal and that the system opens a path to effective knowledge diffusion.
Synthesis and Examination of Hydroxyapatite Nanocomposites Based on Alginate Extracted from Azotobacter chroococcum new strain MWGH-ShKB In vitro

*Correspondence: marwa.salah@gebri.usc. edu.eg Accepted: 29 Oct.2018 Published online: 05Dec. 2018 Importance of bacterial alginate is attributed to its employment in multiple fields like pharmaceutical, biomedical and food industries. This research was aiming to discover a new Egyptian isolate of Azotobacter chroococcum and thereafter stimulation of production and extraction of alginate under various stress conditions. Extracted alginate then entered in a process of composition of hybrid inorganic composite based on an apatite and a polysaccharide of microbial origin. Isolates of Azotobacter chroococcum bacteria were isolated from different habitats in Egypt to assess the highest alginate productivity. Mannitol, sucrose, ethanol, tryptone, beef extract, peptone, yeast extract, pH, incubation time and agitation were tested for enhancement of alginate productivity. Biochemical tests and molecular study were done for the isolated Azotobacter and the new isolate was registered in GenBank with accession no MH179061. In vitro bone bioactivity was carried out via soaking the prepared materials in simulated body fluid (SBF) for 7 and 21 days in presence of hydroxyapatite nanoparticles (HA) and polymethyl methacrylate (PMMA) in different ratios. The examination of apatite formation on the prepared materials after soaking in SBF was carried out by fourier transform infrared spectroscopy (FTIR) and scanning electron microscopy with energy dispersive X-ray (SEM-EDX) and (3-(4,5-Dimethylthiazol)-2,5-Diphenyltetrazolium bromide) (MTT) assay was used to assess the cytotoxic effect of sodium alginate/hydroxyapatite analogs against normal splenocyte. The new strain was identified as Azotobacter chroococcum MH179061 which has the ability to maximize alginate production (3.84 g/L) in bacterial medium. Extracted sodium alginate has the ability of formation of a thick apatite layer on the surface of the composite films in special way on this containing SA/PMMA with ratio (1.5:1 and 1:1) compared to other ones. Significant increase in splenocyte proliferation noticed the nontoxic effects of the SA/HA particles, moreover, the cell division was stimulated; cells were able to maintain their healthy and being even in the presence of a different concentration of HA particles more than control. The novel composites based on sodium alginate produced from Azotobacter chroococcum MH179061 has promising bioactivity properties, which can be applied in bone implants and tissue engineering applications after further investigations.
Influence of the Atkins ’ diet on behavioural responses

Objective: The effect of the Atkins’s diet was examined over 48 h compared to a Control mixed diet on sleepiness, mood, fatigue and related symptoms in healthy subjects. Design: This study employed a repeated measure design where subjects were given isocaloric diets and matching evening test meals, which were either mixed (15% protein, 25% fat, 60% carbohydrate) or Atkins (38% protein, 61% fat, <1% carbohydrate). Subjects’ overall daytime mood, fatigue intensity and sleepiness on the Epworth Sleepiness Scale were assessed before the evening test meals. Symptoms that developed during the Atkins’ diet were scored using a modified Atkins’ diet symptom questionnaire. The number of subjects with dream recalls was recorded on awakening after each polysomnographic night Subjects: Fourteen, healthy subjects (18-35 y, BMI 20-27 kgm) underwent a Control diet followed by the Atkins’ diet for 48 h. Measurement: Subjects’ overall daytime mood, fatigue intensity and sleepiness on the Epworth Sleepiness Scale were assessed before the evening test meals. Symptoms that developed during the Atkins’ diet were scored using a modified Atkins’ diet symptom questionnaire. The number of subjects with dream recalls was recorded on awakening after each polysomnographic night. Results: Subjects developed mild hypoglycemia and ketosis 48 h following the Atkins’ diet. The daytime symptoms of fatigue, sleepiness and depressed mood were significantly increased following the Atkins’ diet compared to the Control diet. An increased proportion of subjects reporting dreams and cognitive impairments (increasing difficulty with concentration and decision making) and other symptoms (craving for sweets, and tired all the time) was also noted 48 h after the Atkins’ diet. Conclusion: The findings suggest that mild hypoglycemia resulting from the diet may mediate the subjective responses of daytime sleepiness, depressed mood and intense fatigue. The increased proportion of subjects with dream recalls may be related to increased transient arousals from sleep during which dreams may be incorporated into memory.
tatistical analysis of engraving traces on a 3 D digital model of rehistoric stone stelae

Studying cultural heritage artefacts, using 3D digital models, is gaining interest. It not only allows applications in documentation and visualisation, but also permits further contact-less examination. In this paper, we are presenting a statistical analysis of stone engravings based on features that were semiautomatically extracted from 3D acquisition data. Our objects of study are two Neolithic stone stelae and a faithful replica that was created in the course of an archaeological study. We use common statistical D mesh data hisel marks escriptive statistics egression analysis eolithic stone stelae tone engravings methods and investigate the populations of depth and diameter of the engraving traces, as well as their correlation. We observe that the erosion of the two prehistoric stelae results in a larger dispersion of the diameter distribution, as well as in a similarity of a linear regression model. Furthermore, we note a similar median in the height and depth distribution between the replica and only one of the prehistoric stela. This finding supports an archaeological hypothesis regarding the presumed engraving tools. © 2015 Published by Elsevier Masson SAS.
Deep Learning Theory and Practice Spring 2019 Course Project Due : June 7 , 2019 , 11 : 59 PM PT

You will work in teams of three students to form an in-depth “reading group” similar to those you might take part in during your academic career. As a group, you will select one group of two or three papers listed below (one per student). While all members should read each paper, each member will choose one paper to read carefully. You will then compare the theoretical and practical merits of each approach as a group and describe how the papers relate to the course material. Note that I do not expect you to understand every theoretical detail of your paper, but you should get a high-level picture of what the authors were able to prove and think about what tools they used to prove their results.
A Simple PID Control Design for Systems with Time Delay

In this article a new simple method for calculating PID parameters for a wide class of SISO process models is presented. The method utilizes one self oscillation experiment and one open loop step response experiment for determining the parameters of a suitable PID controller. A specialization of the method to first order models with time delay (FOTD) introduces a simple approximation of the ultimate gain which eliminates the need for any self oscillation experiment, thus giving rise to a method based solely on a step response of the model. Combining this method with a simple method for estimation of the three parameters in a FOTD model finally results in a design method based purely on an open loop step response. The methods presented are evaluated by simulation on a number of process models and the functionality of the step response based method is tested on a real process (a soldering iron).
Shexiang Baoxin Pill Alleviates the Atherosclerotic Lesions in Mice via Improving Inflammation Response and Inhibiting Lipid Accumulation in the Arterial Wall

Epidemiological studies have demonstrated that cardiovascular diseases (CVDs) are the leading cause of death in the world. Atherosclerosis, a kind of chronic vascular disorder related to multiple pathogenic processes, has been reported to be an underlying cause of CVDs. Shexiang Baoxin Pill (SBP) is a traditional Chinese medicine formulation and has been broadly used for the treatment of CVDs in East Asia. However, whether SBP affects the development of atherosclerosis is poorly understood. The aim of this study was to investigate the antiatherosclerotic roles and relevant mechanisms of SBP in apolipoprotein E knockout mice. Our results showed that SBP treatment markedly decreased the size of atherosclerotic plaques of the entire aorta and the aortic sinus. Biochemical analyses indicated that SBP gavage improved oxidative stress in vivo, as seen by the level elevation of SOD, CAT, and GSH and the level reduction of MDA, H2O2, and MPO. Moreover, the concentration of MCP-1, IFN-γ, and IL-17A was reduced, and the content of IL-10 and TGF-β1 was increased in the serum from SBP-treated mice. We discovered that the expression levels of inflammatory factors including VCAM-1, ICAM-1, IL-6, and IL-2 in the vascular wall of the SBP group were also decreased in comparison with those of the normal saline group. Moreover, we found that SBP alleviated the activation of inflammation-related pathways in the aorta tissue, as seen by the level elevation of Mfn2 and reduced phosphorylation of p38, JNK, and NF-κB. Furthermore, western blot showed that SBP administration reduced the level of SR-A and LOX-1 and elevated the content of LXRα, ABCA1, and ABCG1 in the arterial wall, indicating that SBP was capable of alleviating lipid influx and facilitating lipid efflux. In conclusion, our data suggested that SBP exerted antiatherosclerotic effects via improving inflammation response and inhibiting lipid accumulation.
Interactions of U.S., German and Greek Bond Markets in Times of Financial Crisis. A Bayesian Analysis of Exogeneity in the VAR-SV Model

This paper examines interactions of the U.S., Germa n and Greek bond markets in times of financial crisis. Specifically, the connections amo ng daily and weekly growth rates of the 10-year government bond yields of the U.S., Germany and Gre ece from July 13, 2006 to June 28, 2012 are considered and an empirical illustration of those, based on the vector autoregressive (VAR) model with stochastic volatility (SV) disturbances, is pr ovided. Finally, sufficient weak and strong exogeneity conditions in the VAR-SV models are test ed. Since the strong exogeneity hypothesis of the 10-year US bond yields’ growth rates has not be en r jected by the data, they can be predicted from the marginal model only. JEL classification: G15, G01, C11, C32.
MOLECULAR FINGERPRINTING IN IDENTIFYING GENETIC POLYMORPHISM AND RELATIONSHIP WITH QUANTITATIVE TRAITS IN SOME COTTON GENOTYPES

This study aimed to identify the relationship between agronomical traits, yield components and molecular markers among 37 genotypes of Egyptian cotton . Two experiments were done in this work, the first one was concerned to studying morphological traits ,as well as, yield and its component. The second experiment was carried out using different molecular markers to characterize the relationship between polymorphism of ten agronomic traits using different ways of molecular markers based-PCR i.e., RAPD, ISSR and SSR. Many primers gave polymorphic bands which could be considered as a positive or negative markers for agronomical traits and yield components traits based upon the presence or absence of unique band (s) in a specific genotype. The results indicated that the SSR technique was more effective in detecting high level of polymorphism because of highest percentage of polymorphic bands compared with the other molecular markers techniques used herein. This analysis could be a useful tool to genetic distinctiveness among cotton genotypes. This reflects the possibility of utilizing differences between cotton genotypes to improve the economical traits in cotton through the introgressions of diverse germplasm into breeding programs. Hence, the breeder could be used biochemical and molecular markers as rapid and accurate method for identification and facilitate classification of morphological traits and yield components to study germplasm management for genetic improvement of Egyptian cotton.