Miracle-dz/UniFAR-FTUs huggingface dataset:
Disease Localization in Multilayer Networks

We present a continuous formulation of epidemic spreading on multilayer networks using a tensorial representation, extending the models of monoplex networks to this context. We derive analytical expressions for the epidemic threshold of the susceptible-infected-susceptible (SIS) and susceptible-infected-recovered dynamics, as well as upper and lower bounds for the disease prevalence in the steady state for the SIS scenario. Using the quasistationary state method, we numerically show the existence of disease localization and the emergence of two or more susceptibility peaks, which are characterized analytically and numerically through the inverse participation ratio. At variance with what is observed in single-layer networks, we show that disease localization takes place on the layers and not on the nodes of a given layer. Furthermore, when mapping the critical dynamics to an eigenvalue problem, we observe a characteristic transition in the eigenvalue spectra of the supra-contact tensor as a function of the ratio of two spreading rates: If the rate at which the disease spreads within a layer is comparable to the spreading rate across layers, the individual spectra of each layer merge with the coupling between layers. Finally, we report on an interesting phenomenon, the barrier effect; i.e., for a three-layer configuration, when the layer with the lowest eigenvalue is located at the center of the line, it can effectively act as a barrier to the disease. The formalism introduced here provides a unifying mathematical approach to disease contagion in multiplex systems, opening new possibilities for the study of spreading processes.
Emerging Role of Transcription Factors in Epithelial Mesenchymal Transition Attributing to Metastasis of Colorectal Cancer

Colorectal cancer (CRC) known to be second most common visceral malignant neoplasm in United States with over 200,000 cases per year [1]. Throughout the years, treatment options for colorectal cancer have improved dramatically due to the immense research being conducted worldwide. These studies have guided the medical professionals to have better insight of the disease at molecular levels leading to better targeted therapeutics. Cancer becomes lethal when cells metastasize, a multifactorial process of malignant cells spreading throughout the body from the primary tumor site. Halting the metastatic progression has been the predominant area of focus that has proven to increase the survival rate of patients with CRC. The activation and deactivation of cell signaling pathways that induce or dissuade the transcription of proto-oncogenes and tumor suppressor genes are being constantly explored by researchers. Among the many identified modulators, those which play pivotal role in transcriptional and translational regulations has been dissected meticulously. The review focuses on the role of different regulatory factors promoting epithelial mesenchymal transition (EMT) which leads to metastasis of CRC.
Whole-rock chemical and Sm-Nd isotopic composition of a Late Proterozoic metasedimentary sequence in Ganderia: Kellys Mountain, Bras d’Or terrane, Nova Scotia, Canada

The relationship between low-grade metasedimentary and high-grade paragneissic Precambrian rock units in the Bras d’Or terrane of central Cape Breton Island is a long-standing geological problem. Whole-rock geochemical and Nd isotopic data from representative components of these units in the Kellys Mountain area, the Glen Tosh formation and Kellys Mountain Gneiss, show strong similarity. Major and trace element characteristics suggest that protolith sediments for both units were wackes derived from felsic igneous sources and deposited at an active continental margin. Neodymium isotopic data in combination with previously published detrital zircon ages show that the sediments contained an ancient (ca. 2 Ga) end-member of recycled continental crust mixed with a juvenile component of Late Neoproterozoic age. The similarities suggest that the rocks represent the same sedimentary unit at different grades of metamorphism.
Impacts of Blood Lead Level on Trace Element Status and Hematological Parameters in Anemic Children from Beni-Suef, Egypt

Anemia is a world widespread health problem among infants and children, and it is often associated with an alteration in blood level of some heavy metals and essential trace elements. The aim of our study is to evaluate the association of blood lead levels (BLL) ≥ 10 μg/dl with anemia, and its effect on hematological parameters and some essential trace elements in children. This study was performed on 100 children (mean age 8.2 ± 2); they fulfilled the inclusion criteria, 75 anemic group (HB ≤ 10 g/dl) and 25 non-anemic control group (HB>10 g/dl). Blood samples were taken from subjects for estimating hematological parameters and ferritin levels along with serum level for lead, zinc, copper and iron which were determined using an atomic absorption spectrophotometer. Approximately 79% of the studied children had blood lead levels (BLL) ≥ 10 μg/dl, and the blood lead level range of 1.56-26.7 μg/dl. The Serum zinc, iron and ferritin levels in children of the anemic group were significantly (p<0.001) lower than control. However, The Serum copper concentration of the anemic group were not found to significantly (p=0.92) differ from the control group. There were significant negative correlations of blood lead levels with iron (r=-0.395), zinc (r=-0.401) and serum ferritin (r=-0.609) levels among all studied children with (P<0.01). In addition to a significant negative correlations of blood lead levels with hemoglobin (HB) (r=-0.884), hematocrit (HCT) (r=-0.819) and mean corpuscular volume (MCV) (r=-0.452) levels among anemic group with (P<0.01). In conclusion, blood Lead level ≥ 10 μg/dl was significantly associated with risk of anemia, hematological parameters affection and also altered the status of essential trace elements. Therefore, theses parameters can be used as biomarkers for chronic lead toxicity.
4 Molecular Marker Techniques in Musa Genomic Research

Banana is one of the most important subtropical crops. Its genetic system is relatively unknown and complicated by interand intraspecifi c hybridization, heterozygosity, and polyploidy. Thus molecular markers have been widely used among Musa germplasm to detect genetic variation and relationships, duplicate accessions identifi cation, monitoring genetic stability, analyzing irradiated genotypes and identifi cation of trait markers for use in breeding programs. Various markers based morphology, protein, and DNA are in existence. Among them the most widely used markers suitable for marker assisted selection (MAS) are RFLP, random amplifi ed polymorphic DNA (RAPD), amplifi ed fragment length polymorphisms (AFLP), and 1Vaal University of Technology, Private Bag X021, Vanderbijlpark 1900, Gauteng, South Africa; e-mail: mpillay@vut.ac. za 2Department of Plant Sciences, University of Saskatchewan, 51 Campus Drive, Saskatoon, SK, Canada, S7N 5A8; e-mail: ashok.kumar@usask.ca 3Centro de Investigacion Cientifi ca de Yucatan, Calle 43 No. 130, Col. Churburna de Hidalgo, Merida, C.P. 97200, Yucatan, Mexico; e-mail: andyj007@cicy.mx 4Department of Plant Molecular Biology and Biotechnology, Center for Plant Molecular Biology, Tamil Nadu Agricultural University, Coimbatore-641 003-India; e-mail: symsil07@gmail.com 5Laboratório de Microbiologia: Interação Planta-Praga, Instituto de Ciências Biológicas, Departamento de Biologia Celular, Universidade de Brasília, Campus Universitário Darcy Ribeiro, Asa Norte, 70910-900, Brasília, D.F. , Brasil; and Universidade Católica de Brasília, SGAN Qd. 916 Módulo B, Av. W5 Norte CEP: 70.790-160, Brasília/DF, Brazil; e-mail: rmiller@pos.ucb. br or bruna@tba.com. br 6Department of Plant Breeding and Biotechnology, Swedish University of Agricultural Sciences, Box 101, SE-230 53, Alnarp, Sweden; e-mail: rodomiroortiz@gmail.com 7Crop Tech Ltd., P.O. Box 1367, Arusha, Tanzania; e-mail: balabiotech@gmail.com *Corresponding author List of abbreviations after the text. © 2012 by Taylor & Francis Group, LLC Molecular Marker Techniques in Musa Genomic Research 71 simple sequence repeat (SSR). This chapter compares the effi ciency of available markers, its application and development for Musa genome analysis. High-throughput technologies based on single nucleotide polymorphisms (SNPs) or small scale indels are effi cient alternatives with desired dosage sensitivity and the ability to distinguish haplotypes in polyploid crops. However, the choice of markers differ and depends on the labor required for their detection, possibility of revealing single or multiple loci, dominant or co-dominant nature, and costs. Recent developments reported in various crops like high resolution DNA melting (HRM) analysis has great potential for cultivar identifi cation, candidate gene identifi cation, mapping (genomic and association) studies. Thus the identifi ed genomic regions in banana with these approaches has the potential to dramatically enhance the pace and effi ciency of genetic improvement in Musa.
Promoting Eco-innovations to Leverage Sustainable Development of Eco-industry and Green Growth

In the modern world, ecologyand the economy are on cross roads. With the increasingpace of globalization and economic liberalization, giving birth to the rapid growth ofconsumerism by the modern civilization,there is growing consciousness to movegradually towards green growth with sustainability. This is now becoming possible byenhancing eco-consciousness both among theproducers as well as the consumers. Thechosen path is obviously to go in for more and more eco-innovations to providecomplementarily to industrialproduction without sacrificing much on the production aswell as economic front. Renewable alternate technologies – widely known as eco-technologies, are now being developed withmassive investment on RD which in turn, are getting increasingly organized asa chain of eco-industry, byconstantly evolving replicableas well as sustainable eco-industrial models in the emergingsectors of economy, prominently in the EU countries.The paper takes a holistic and strategic review on how the Eco-innovations and their eco-specific promotional and developmental efforts are stimulating the sustainabledevelopment of Eco-industriesand enhancing Green growth bysetting up of demonstrableEco-industrial models in multi-sectoral areas in Europe and the other parts of the world.The paper also provides a brief account of various corporate and entrepreneur initiativestaken in developing sustainable Eco-industrial business models and the methodologies tomeasure the impact of eco-innovation projects.
The prevalence of hypertension in diabetic patients in Iran; a systematic review and meta-analysis

Context: Hypertension is one of the most important issues in advanced and developing countries and is prevalent in diabetic patients. The present study was aimed at estimating the prevalence of hypertension in diabetic patients in Iran through meta-analysis. Evidence Acquisitions: The search was carried out using authentic Persian and English keywords in national and international databases including IranMedex, SID, Magiran, IranDoc, Medlib, ScienceDirect, PubMed, Scopus, Cochrane, Embase, Web of Science, Medline and Google Scholar search engine without any time limitation until 2017. Heterogeneity of studies was assessed using I2 indexes. Data were analyzed using STATA software version 11.1. Results: In 32 reviewed studies with a sample of 34714 subjects, the prevalence of hypertension in Iranian diabetic patients was 51 (95 CI, 43-60). The prevalence of hypertension was 55 in type I diabetics and 53 in type II diabetic patients. Meta-regression showed that there was no significant relationship between the prevalence of hypertension in diabetic patients with the sample size and year of study. Conclusions: About half of the diabetic patients in Iran suffer from hypertension. Patients with type 1 diabetes suffer from hypertension 2 more than type 2 diabetes patients. The prevalence of hypertension in diabetic patients in Iran has not significantly decreased over the past years and diabetic patients in northern Iran are more likely to have hypertension than other parts of the country. © 2018 The Author(s).
Removal of Colour from Aqueous Solutions by using Zero Valent Iron Nanoparticles

Nanoscale studies are gaining importance for the removal of chemical substances, dyes or other pollutants from the wastewater to reduce the future environmental impacts. Among them iron and its oxide nanoparticles have been successfully utilized for the elimination of hazardous and toxic wastes due to their catalytic, super-magnetic property and greater efficiency. The present study evaluated the removal of various dyes from water solutions by using ZVI (Zero Valent Iron nanoparticles). Synthesis of nanoparticles was carried out by borohydride chemical reduction method. Its characterisation was done by using X-Ray diffraction (XRD), Scanning Electron Microscope (SEM) and Brunauer- Emmett-Teller method (BET). SEM images showed that the size of synthesized nanoparticles were mostly in the range of 30-100µm in diameter. Some particles were less than 30 µm in size. Batch experiments were carried out to investigate the adsorption capacity of zero valent iron nanoparticles for various dyes from aqueous solutions. The ZVI particles showed maximum adsorption capacity (5339.3mg/g) for Drimarene dye S-RB (Reactive Red 198). The effects of pH, contact time, electrolyte, initial dye concentration and detergent were also investigated. The nano particle works effectively at acidic pH (3-6) but may also be used at basic or neutral pH. ZVI particles may be used more effectively for the removal of dye in the presence of salts.
Small but active – pool size does not matter for carbon incorporation in below‐ground food webs

Summary 1. The complexity of soil food webs and the cryptic habitat hamper the analyses of pools, fluxes and turnover rates of carbon (C) in organisms and the insight into their interactions. Stable isotope analysis has been increasingly used to disentangle soil food web structure, yet it has not been applied to quantitatively characterize C dynamics at the level of the entire soil food web. 2. The present study employed 13 CO2 pulse labelling to investigate the incorporation of maize root-derived C into major soil compartments and food web players in an arable field for 25 days. Bulk tissue and compound-specific (lipids) C isotope ratios were used to quantify pool sizes and 13 C incorporation in bacteria and fungi as primary decomposers, nematodes as key drivers of the microfood web and decomposers and predators among the meso- and macrofauna. 3. About 20% of the C assimilated by maize was transferred to below-ground pools. 13 C was predominantly incorporated into rhizosphere micro-organisms rather than in those of the bulk soil. 13 C in phospholipid fatty acid biomarkers revealed that root-derived C was incorporated into the soil food web mainly via saprotrophic fungi rather than via bacteria. Only small amounts of 13 C were transferred to higher trophic levels, predominantly into fungal-feeding nematodes and macrofauna decomposers. 4. Most importantly, C pool size and 13 C incorporation did not match closely. Although the fungal C stock was less than half that of bacteria, C transfers from fungi into higher trophic levels of the fungal energy pathway, that is fungal-feeding nematodes and meso- and macrofauna decomposers, by far exceed that of bacterial C. This challenges previous views on the dominance of bacteria in root C dynamics and suggests saprotrophic fungi to function as major agents channelling recent photoassimilates into the soil food web.
Supplement : A Bayesian model for single cell transcript expression analysis on MERFISH data . S 1

The main manuscript shows simulation results for the MHD4 and the MHD2v2 encoding. Here, we further provide simulation results for the MHD4v2 and MHD2 encoding (Figure S1). While MHD2 encoding shows the same, but stronger, bias as seen before, the bias is essentially gone with MHD4v2 encoding. The reason is that the error rates were significantly reduced in version 2 of the MERFISH protocol, such that error correction by Hamming distance is sufficient to obtain unbiased results. However, our model still allows to capture the remaining (unbiased) uncertainty via credible intervals (Figure S2). Figure S1e shows that the posterior estimates can have a slightly asymmetric error profile: an overestimated expression can be farther away from the true expression than an underestimation. The main reason for overor underestimation is a deviation from the expected number of miscalls: more miscalls than expected lead to an overestimation, fewer lead to an underestimation. Since the probability for a miscall is small, overestimation can be more extreme than underestimation. Apart from estimates of the true transcript expression, our model provides 95% credible intervals as a measure of the uncertainty in the data. We assess the accuracy of these intervals by calculating the CI error as the distance between the known true count t and the credible interval [l, u], i.e.
Nonlinear and Rate-Dependent Hysteretic Responses of Active Hybrid Composites

Nonlinear electro-mechanical behaviors of piezoelectric materials and viscoelastic nature of polymers result in the overall nonlinear and hysteretic responses of active polymeric composites. This study presents a hybrid-unit-cell model for obtaining the effective nonlinear and rate-dependent hysteretic electro-mechanical responses of hybrid piezocomposites. The studied hybrid piezocomposites consist of unidirectional piezoelectric fibers embedded in a polymeric matrix, which is reinforced with piezoelectric particles. The hybrid-unit-cell model is derived based on a unit-cell model of fiber-reinforced composites consisting of fiber and matrix subcells, in which the matrix subcells are comprised of a unit-cell model of particle-reinforced composites. Nonlinear electro-mechanical responses are considered for the piezoelectric constituents while a viscoelastic solid constitutive model is used for the polymer constituent. The hybrid-unit cell model is used to examine the effects of different responses of the constituents, microstructural arrangements, and loading histories on the overall nonlinear and hysteretic electro-mechanical responses of the hybrid piezocomposites, which are useful in designing active polymeric composites.
Akan Veri Karakterizasyonu, Üretimi Ve Analitiği Üzerine Kapsamlı Bir İnceleme

Gelisen donanim ve yazilim teknolojileri sayesinde anlik olarak uretilen veri miktari ve hizi giderek artmaktadir. Akan veriler, statik verilerden farkli olarak, potansiyel olarak sonsuz, hizli, zamanla degisen ve gelisen bir yapiya sahiptir. Bu sebeple akan verilerin tamamini depolamak zaman ve depolama alani kisitlari sebebiyle imkânsiz olabilmektedir. Akan veri madenciliginde kullanilan yontemlerin, statik veri madenciliginden farkli olarak akan verilerin dogasina uygun bir sekilde optimize edilmesi gerekmektedir. Bu calisma kapsaminda akan veriler, statik veriler ile karsilastirmali olarak analiz edilmistir. Akan veri madenciligi, akan veri karakterizasyonu ve akan veri uretimi uzerine detayli arastirmalar yapilmistir. Akan verilerin turleri, kaynaklari ve akan veriden ogrenme yontemleri ile akan veri uygulamalarinda kullanilan yontemler ve algoritmalar kapsamli bir sekilde incelenmistir. Yapilan literatur arastirmalari ve incelemeler sonucunda, veri gizliligi, gelecege donuk ongorulerin olusturulmasi, veri on isleme, kaynak kullanimi ve cevrimici guncelleme konularinin gelistirilecek akan veri uygulamalarinda degerlendirilmesi gereken konular oldugu ortaya konulmustur.
Honoring eight senior distinguished plant biologists from India

We summarize here research contributions of eight stalwarts in photosynthesis research from India. These distinguished scientists (Shree Kumar Apte, Basanti Biswal, Udaya C. Biswal, Agepati S. Raghavendra, Attipalli Ramachandra Reddy, Prafullachandra Vishnu (Raj) Sane, Baishnab Charan Tripathy, and Dinesh C. Uprety) were honored on November 2, 2017, at the School of Life Sciences, University of Hyderabad. We include here two group photographs of this special event, which was organized by the Department of Plant Sciences, during the 8th International Conference on Photosynthesis and Hydrogen Energy Research for Sustainability—2017 (https ://prs.scien ce/wp-conte nt/uploa ds/2017/10/Photo synth esis-Resea rch-for-Susta inabi lity-2017.pdf, also available at: http://www.life.illin ois.edu/govin djee/world -histo rical .html). The main conference had honored three international scientists: William Cramer (Purdue University. West Lafayette, Indiana, USA), Govindjee (University of Illinois at Urbana-Champaign, Illinois, USA, one of the authors here); and Agepati S. Raghavendra (University of Hyderabad, India, one of those honored here as well); see papers in this Special Issue, edited by Suleyman Allakhverdiev, one of the authors here.
HyperPebblesDB : An Enhanced Fragmented Log-Structured Merge Trees

Log-structured Merge Tree (LSM) [17] is a data structure that is widely used in write-intensive storage system. However, it suffers from write amplifications, which can hinder the write throughput. Another data structure called Fragmented Log-Structured Merge Trees (FLSM) [19] is proposed recently to reduce write amplification while maintaining high write throughput. In this project, we build a key-value store called HyperPebblesDB based on PebblesDB [19]. We enhance db_bench by calculating the sstables distribution and implement guard-based parallel compaction strategy. We empirically investigate the impact of empty guards and the guard-based parallel compaction on the FLSM-based key-value store. In addition, we integrate Succinct Range Filter (SuRF) [23] into HyperPebblesDB. Our results show that empty guards have no impact on the Read throughput; in certain scenario, guard-based parallel compaction can improve system performance; SuRF can improve the range query performance but with limitations.