Miracle-dz/UniFAR-FTUs huggingface dataset:
Smart Water Management for Cities

The deployment of real-world water monitoring and analytics tools is still far behind the growing needs of cities, which are facing con-stant urbanisation and overgrowth of the population. This paper presents a full-stack data-mining infrastructure for smart water management for cities being developed within Water4Cities project. The stack is tested in two use cases - Greek island of Skiathos and Slovenian capital Ljubljana, each facing its own challenges related to groundwater. Bottom layer of the platform provides data gathering and provision infrastructure based on IoT standards. The layer is enriched with a dedicated missing data imputation infrastructure, which supports coherent analysis of long-term impacts of urbanisation and population growth on groundwater reserves. Data-driven approach to groundwater levels analysis, which is important for decision support in flood and groundwater management, has shown promising results and could replace or complement traditional process-driven models. Data visualization capabilities of the platform expose powerful synergies with data mining and contribute significantly to the design of future decision support systems in water management for cities.
hCG and Hyperglycosylated hCG Carbohydrate Structure Corrected

Multiple articles have been published describing the N-linked and O-linked oligosaccharide structures of hCG. All, however, have used purified preparation from pregnancy urine and from choriocarcinoma patient urine. This has told the scientific community that pregnancy and choriocarcinoma hCG-related molecules contain Type 1 and Type 2 O-linked oligosaccharides and biantennary and triantennary N-linked oligosaccharide. Recent years have seen the demonstration of two completely independent hCG molecules, hCG and hyperglycosylated hCG. hCG is a pregnancy hormone made by syncytiotrophoblast cell. Hyperglycosylated hCG is a TGFs receptor binding autocrine produced by cytotrophoblast cells. The two independent share a common amino acid sequence and just vary in carbohydrate structure. Unfortunately, all the carbohydrate structure reports are on a mixture of hCG and hyperglycosylated hCG, as present in pregnancy and choriocarcinoma. This does not all anyone to clearly see the carbohydrate structural differences between the two molecules. Here we carefully examine the carbohydrate structural differences between hCG and hyperglycosylated hCG using the B152 hyperglycosylated hCG-specific immunoassay. It is shown that hCG has only Type 1 O-linked oligosaccharides, while hyperglycosylated hCG only has Type 2 O-linked oligosaccharides. Type of O-linked oligosaccharide structure completely distinguishes hCG and hyperglycosylated hCG.
UvA-DARE ( Digital Academic Repository ) Spinon dynamics in quantum integrable

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An Overview: Vapor Phase Corrosion Inhibitors

When present as vapors, certain organic compounds offer inhibition against the corrosion of ferrous and nonferrous materials. The inhibitors include aliphatic, aromatic, cyclohexylamines, aminonitrobenzoates, heteroalkylated lower amines, etc. The mechanism of inhibition offered by these compounds was discussed and an unified mechanism was presented. Various methods of evaluating inhibition efficiency were discussed with a special reference to surface film characterization techniques. Methods of application of the vapor phase inhibitors and their industrial uses also were presented.
Isotopic composition (δ13C, δ18O) in wood and cellulose of Siberian larch trees for early Medieval and recent periods

[1] We related tree ring width (TRW) and isotopic composition (δ13C, δ18O) of wood and cellulose from four larch trees (Larixcajanderi Mayr.) to climate parameters. The material was sampled in northeastern Yakutia [70°N–148°E] for the recent (AD 1880–2004) and early Medieval (AD 900–1000) periods. During the recent period June, July, and August air temperatures were positively correlated with δ13C and δ18O of wood and cellulose, while July precipitation was negatively correlated. Furthermore, the vapor pressure deficit (VPD) of July and August was significantly correlated with δ13C of wood and cellulose, but VPD had almost no influence on δ18O. Comparative analyses between mean isotope values for the (AD 900–1000) and (AD 1880–2004) periods indicate similar ranges of climatic conditions, with the exception of the period AD 1950–2004. While isotopic ratios in cellulose are reliably related to climatic variables, during some periods those in whole wood showed even stronger relationships. Strong positive correlations between δ18O of cellulose and Greenland ice-core (GISP2) data were detected for the beginning of the Medieval period (r = 0.86; p < 0.05), indicating the reliability of isotope signals in tree rings for large-scale reconstructions.
TRIAL : a randomised , placebo controlled trial of a Bradykinin B 2 receptor antagonist ( Anatibant ) in patients with traumatic brain injury

Background: Cerebral oedema is associated with significant neurological damage in patients with traumatic brain injury. Bradykinin is an inflammatory mediator that may contribute to cerebral oedema by increasing the permeability of the blood-brain barrier. We evaluated the safety and effectiveness of the non-peptide bradykinin B2 receptor antagonist Anatibant in the treatment of patients with traumatic brain injury. During the course of the trial, funding was withdrawn by the sponsor. Published: 3 December 2009 Trials 2009, 10:109 doi:10.1186/1745-6215-10-109 Received: 25 November 2008 Accepted: 3 December 2009 This article is available from: http://www.trialsjournal. com/content/10/1/109 © 2009 Shakur et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Trials 2009, 10:109 http://www.trialsjournal. com/content/10/1/109
Identification of Bifurcations in Biological Regulatory Networks using Answer-Set Programming

Aiming at assessing differentiation processes in complex dy-namical systems, this paper focuses on the identification of states and transitions that are crucial for preserving or preempting the reachabil-ity of a given behaviour. In the context of non-deterministic automata networks, we propose a static identification of so-called bifurcations, i.e., transitions after which a given goal is no longer reachable. Such transitions are naturally good candidates for controlling the occurrence of the goal, notably by modulating their propensity. Our method combines Answer-Set Programming with static analysis of reachability properties to provide an under-approximation of all the existing bifurcations. We illustrate our discrete bifurcation analysis on several models of biological systems, for which we identify transitions which impact the reachability of given long-term behaviour. In particular, we apply our implementation on a regulatory network among hundreds of biological species, supporting the scalability of our approach.
Influence of the angular scattering of electrons on the runaway threshold in air

The runaway electron mechanism is of great importance for the understanding of the generation of x- and gamma rays in atmospheric discharges. In 1991, terrestrial gamma-ray flashes (TGFs) were discovered by the Compton Gamma-Ray Observatory. Those emissions are bremsstrahlung from high energy electrons that run away in electric fields associated with thunderstorms. In this paper, we discuss the runaway threshold definition with a particular interest in the influence of the angular scattering for electron energy close to the threshold. In order to understand the mechanism of runaway, we compare the outcome of different Fokker–Planck and Monte Carlo models with increasing complexity in the description of the scattering. The results show that the inclusion of the stochastic nature of collisions smooths the probability to run away around the threshold. Furthermore, we observe that a significant number of electrons diffuse out of the runaway regime when we take into account the diffusion in angle due to the scattering. Those results suggest using a runaway threshold energy based on the Fokker–Planck model assuming the angular equilibrium that is 1.6 to 1.8 times higher than the one proposed by [, ], depending on the magnitude of the ambient electric field. The threshold also is found to be 5 to 26 times higher than the one assuming forward scattering. We give a fitted formula for the threshold field valid over a large range of electric fields. Furthermore, we have shown that the assumption of forward scattering is not valid below 1 MeV where the runaway threshold usually is defined. These results are important for the thermal runaway and the runaway electron avalanche discharge mechanisms suggested to participate in the TGF generation.
Genetic diversity of Callosobruchus maculatus (Fab.) (Coleoptera: Bruchidae) populations

Variations in esterase pattern and genetic similarity of six populations (Madurai, Nagapattinam, Coimbatore, Thiruvannamalai, Chennai and Vellore) of Callosobruchus maculatus were assessed. Among the populations studied, esterase pattern of the Coimbatore population is distinctly different then the other populations. PCRDNA analysis showed similar patterns of DNA expression in all the 6 different populations. However, the genetic similarity index generated based on PCR results showed differences among the populations. Dendrogram generated for the six different populations based on the PCR results recorded three different clusters of which, the Coimbatore population alone recovered in one cluster that distinctly differed from other 2 clusters.
Deriving reliable fundamental parameters of PMS-rich star clusters affected by differential reddening

We present an approach that improves the search for reliable astrophysical parameters (e.g. age, mass, and distance) of differentially-reddened, pre-main sequence-rich star clusters. It involves simulating conditions related to the early-cluster phases, in particular the differential and foreground reddenings, and internal age spread. Given the loose constraints imposed by these factors, the derivation of parameters based only on photometry may be uncertain, especially for the poorly-populated clusters. We consider a wide range of cluster {\em (i)} mass and {\em (ii)} age, and different values of {\em (iii)} distance modulus, {\em (iv)} differential and {\em (v)} foreground reddenings. Photometric errors and their relation with magnitude are also taken into account. We also investigate how the presence of unresolved binaries affect the derived parameters. For each set of {\em (i)} - {\em (v)} we build the corresponding model Hess diagram, and compute the root mean squared residual with respect to the observed Hess diagram. The parameters that produce the minimum residuals between model and observed Hess diagrams are searched by exploring the full parameter space of {\em (i)} - {\em (v)} by means of {\em brute force}, which may be time consuming but efficient. Control tests show that an adequate convergence is achieved allowing for solutions with residuals 10% higher than the absolute minimum. Compared to a colour-magnitude diagram containing only single stars, the presence of 100% of unresolved binaries has little effect on cluster age, foreground and differential reddenings; significant differences show up in the cluster mass and distance from the Sun. Our approach shows to be successful in minimising the subjectiveness when deriving fundamental parameters of young star clusters.
Reditools: Efficient RNA editing detection by RNA-seq data

The identification of RNA editing events from massive transcriptome sequencing data is yet a challenging task. Although few methodologies have been proposed no comprehensive software resource has been released up to now. To fill this gap we developed REDItools, a suite of python scripts to facilitate the study of RNA editing in the next generation sequencing era. REDItools work on whatever machine running unix/linux and are freely available at http://code.google. com/p/reditools/.
Title Direct Induction of Chondrogenic Cells from Human DermalFibroblast Culture by Defined Factors

The repair of large cartilage defects with hyaline cartilage continues to be a challenging clinical issue. We recently reported that the forced expression of two reprogramming factors (c-Myc and Klf4) and one chondrogenic factor (SOX9) can induce chondrogenic cells from mouse dermal fibroblast culture without going through a pluripotent state. We here generated induced chondrogenic (iChon) cells from human dermal fibroblast (HDF) culture with the same factors. We developed a chondrocyte-specific COL11A2 promoter/enhancer lentiviral reporter vector to select iChon cells. The human iChon cells expressed marker genes for chondrocytes but not fibroblasts, and were derived from non-chondrogenic COL11A2-negative cells. The human iChon cells formed cartilage but not tumors in nude mice. This approach could lead to the preparation of cartilage directly from skin in human, without going through pluripotent stem cells. Citation: Outani H, Okada M, Yamashita A, Nakagawa K, Yoshikawa H, et al. (2013) Direct Induction of Chondrogenic Cells from Human Dermal Fibroblast Culture by Defined Factors. PLoS ONE 8(10): e77365. doi:10.1371/journal.pone. 0077365 Editor: Dimas Tadeu Covas, University of Sao Paulo USP, Brazil Received February 20, 2013; Accepted September 2, 2013; Published October 16, 2013 Copyright: 2013 Outani et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Funding: This study was supported in part by Scientific Research Grants Nos. 18390415, 19659378 and 21390421 from MEXT and the JST, CREST. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Competing Interests: The authors have declared that no competing interests exist. * E-mail: ntsumaki@cira.kyoto-u.ac. jp
The Malopolski Horse Stallions: Genetic Diversity Estimated on the Basis of Microsatellite DNA and Class I Markers

The Malopolski horse (Equus caballus), a halfbred warmblood breed influenced by Thoroughbred horse, was created in southern and south-eastern Poland. Four sire lines were mostly involved in Malopolski horse breeding. Today, Malopolski horse is in the genetic resources conservation programme. The aim of our study was to evaluate the genetic diversity of Malopolski horse stallions (251 individuals). We used two types of markers: a recommended panel of 17 STRs (microsatellites) and class I markers (polymorphic blood proteins and enzymes). We also present some historical facts about the origins of the Malopolski horse. We estimated observed and expected heterozygosities (Ho and He), the mean inbreeding index value (FIS), the polymorphic information content (PIC), power of discrimination (PD) and probability of parentage exclusion. The studied population of Malopolski stallions exhibited high diversity of genotypes and alleles. We identified 33 phenogroups among blood cell antigens, inherited in seven system groups. The mean number of STR alleles per locus was 7.706 ± 0.460. We confirmed the usefulness of both sets of markers for parentage analysis of the Malopolski horse breed.
Asymptotic rejection of sinusoidal disturbances based voltage balance control in back‐to‐back power converters

This paper addresses the imbalance problem of the dc‐link capacitor voltages in the three‐level diode‐clamped back‐to‐back power converter. In order to cope with it, a mathematical analysis of the capacitor voltage difference dynamics, based on a continuous model of the converter, is first carried out. It leads to an approximated model that contains explicitly several sinusoidal functions of time. In view of this result, the voltage imbalance phenomenon can be addressed as an output regulation problem, considering the sinusoidal functions of time as exogenous disturbances. Thus, a novel approach to deal with the mentioned problem in the back‐to‐back converter is presented. Then, the particular features of the disturbances are used to design several controllers. They all follow an asymptotic disturbance rejection approach. In this way, the estimates of the disturbances are used to apply a control law that cancels them while regulating the capacitor voltage balance as well. Finally, the performance of the proposed control laws is evaluated, presenting the simulation results obtained when the different controllers are implemented. Copyright © 2013 John Wiley & Sons, Ltd.
Implementation of IoT based Smart Laboratory

Internet of Things is a promising technology that has wasted no time spreading across the world and connecting the huge number of individuals with the devices around them. The proposed work aims to develop a smart laboratory system in CIT campus based on IoT and mobile application technologies that operates in an intelligent manner. This provides a platform that allows devices to be connected, sensed and controlled remotely across a network infrastructure. The IoT lab is implemented by embedding the electrical appliances such as lights, air-conditioners, fans and projectors in the laboratory with sensors and network connectivity. These software enabled physical objects collect and exchange the real time data. Devices in the laboratory are connected to IoT smart hardware kit and communicate through an MQTT protocol which is a messaging protocol for machine-to-machine communication. IoT smart hardware kits are designed using ESP8266, Arduino UNO, relays and current transformers. All ESP8266s act as MQTT clients and an online server acts as an MQTT broker. The proposed work mainly intents to provide an easy accessibility of the electrical appliances through an Android application and a user interactive dashboard developed in Node-RED. Along with the status and energy consumption of individual devices, temperature & humidity status of the laboratory can also be monitored using sensors and viewed in dashboard and mobile application. From the results of implementation, it is observed that the appliances in our lab are remotely monitored and controlled, thereby reducing their energy consumption considerably.
A tool for building indexable and searchable code-first Web Services

Resumen—Although high quality WSDL documents are a key factor in a Web Service system success, previous works have shown that WSDL document quality, in terms of readability and discoverability, is often disregarded by service developers. One of the main causes of this is that developers do not write the WSDL documents directly; instead these latter are automatically generated from service implementations, i.e. code-first Web Services. This work presents a novel tool for assisting Java code-first Web Service development that spot potential issues that might lead to low quality WSDL documents. The approach was empirically evaluated using 81 open-source Web Service implementations. The evaluation shows that the WSDL documents generated using our tool are more easily indexed in and searched from Web Service registries. This indirectly implies that these WSDL documents have a better quality than the ones generated using conventional tools.
A General Multi-Level Evaluation Process for Hybrid MADM With Uncertainty

Based on an evidential reasoning framework, a general multilevel evaluation process is developed in this paper for dealing with a multiple attribute decision making (MADM) problem with both quantitative and qualitative attributes. In this new process, a qualitative attribute may be evaluated by uncertain subjective judgments through multiple levels of factors and each of the judgments may be assigned by single or multiple experts in any rational way within the evidential reasoning framework. The qualitative attributes can then be quantified by means of general evaluation analysis and evidential reasoning. A few evaluation analysis models and the corresponding evidential reasoning algorithms are explored for parallel combination and hierarchical propagation of factor evaluations. With all the qualitative attributes being quantified by this rational process, the MADM problem represented by an extended decision matrix is then transformed into an ordinary decision matrix, which can be dealt with using a traditional MADM method. This new general evaluation process and the hybrid decision making procedure are demonstrated using a multiple attribute motor cycle evaluation problem with uncertainty. >
Conjugate Gradient Method Approach to Multi-Channel Queuing Theory

In this paper we examine the application of the classical conjugate gradient method to queue theory. The parameters of the symmetric definite positive linear operator of a quadratic cost functional were obtained from the various characteristic features of a multi-channel queue system. The outcome was tested with numerical values and a comparison was made for systems with two, three and four service points. The numerical computations were carried out in a Maple 14 environment. The results obtained validate previous work done with a single-channel system.
How implicit negative evidence improve probabilistic grammar induction

Extended abstract of the 14th International Conference on Grammatical Inference ICGI’18, September 5–7, 2018, Wrocław, Poland. Abstract A modified inside-outside algorithm to estimate probabilistic parameters over implicit positive and negative evidence was proposed. We have demonstrated that a contrastive estimation based method significantly outperforms a standard inside-outside algorithm in terms of Specificity, without any loss of Sensitivity.