Miracle-dz/UniFAR-FTUs huggingface dataset:
Bacterial communities of juvenile corals infected with different Symbiodinium (dinoflagellate) clades

The coral holobiont consists of the host and its microbial partners, including the dinoflagellate endosymbiont Symbiodinium and bacteria living both on and within coral tissues. Although genetically different, Symbiodinium types have been shown to differentially affect the physiology of the coral host; their effects on the bacterial partners in the association are unknown. The present study compares profiles of the bacterial communities associated with juvenile corals of Acropora millepora and A. tenuis that had been experimentally infected with 2 different clades of Symbiodinium, Clade C1 and D, to investigate possible interactions between bacterial and Symbiodinium communities. Three culture-independent 16S rRNA gene profiling methods (clone library construction, terminal restriction length polymorphism and denaturing gradient gel electrophoresis) revealed no discernible pattern in bacterial communities on 9 mo old juvenile corals containing different clades of zooxanthellae, suggesting that coral-associated bacteria are not linked to Symbiodinium types in hospite in early ontogeny. In contrast to bacterial profiles of adult corals, bacterial communities associated with juvenile corals were highly variable, indicating that bacterial associates are not conserved in these early stages. When 12 mo old juveniles were sampled again in summer, bacterial communities associated with A. tenuis hosting Clade D Symbiodinium were dominated by sequences affiliating with Vibrio species, indicating that corals harbouring this symbiont may be more susceptible to temperature stress, allowing growth of opportunistic microbial community members possibly detrimental to coral health.
SIMPLE PERIODIC ORBITS OF MAPPINGS OF THE INTERVAL

Let / be a continuous map of a closed, bounded interval into itself. A criterion is given to determine whether or not /has a periodic point whose period is not a power of 2, which just depends on the periodic orbits of / whose period is a power of 2. Also, a lower bound for the topological entropy of / is obtained.
Spin-Resolved Photoemission on Anti-Ferromagnets: Direct Observation of Zhang-Rice Singlets in CuO

We demonstrate that it is possible to obtain spin-resolved valence band spectra with a very high degree of spin polarization from antiferromagnetic transition metal materials if the excitation light is circularly polarized and has an energy close to the cation 2p(3/2) (L(3)) white line. We are able to unravel the different spin states in the single-particle excitation spectrum of CuO and show that the top of the valence band is of pure singlet character, which provides strong support for the existence and stability of Zhang-Rice singlets in high-T-c superconductors.
Thermoelectric effect in molecular junctions: A tool for revealing transport mechanisms

We investigate the thermopower of a metal-molecule-metal junction taking into account thermal effects on the junction. Based on analytical expressions and numerical simulations, we show that the thermoelectric potential reveals valuable information on the mechanisms controlling the electron transfer process, including coherent transmission and thermalized hopping. We also show that at high temperatures, the position of the Fermi energy relative to the molecular states can be easily deduced from the thermoelectric potential. Standard current-voltage measurements are insensitive to this information.
Open Set Text Classification Using CNNs

In a closed world setting, classiﬁers are trained on examples from a number of classes and tested with unseen examples belonging to the same set of classes. However, in most real-world scenarios, a trained classiﬁer is likely to come across novel examples that do not belong to any of the known classes. Such examples should ideally be categorized as belonging to an unknown class. The goal of an open set classiﬁer is to anticipate and be ready to handle test examples of classes unseen during training. The classiﬁer should be able to declare that a test example belongs to a class it does not know, and possibly, incorporate it into its knowledge as an example of a new class it has encountered. There is some published research in open world image classiﬁcation, but open set text classiﬁcation remains mostly un-explored. In this paper, we investigate the suitability of Convolutional Neural Networks (CNNs) for open set text classiﬁ-cation. We ﬁnd that CNNs are good feature extractors and hence perform better than existing state-of-the-art open set clas-siﬁers in smaller domains, although their open set classiﬁcation abilities in general still need to be investigated.
RET mutation and expression in small cell lung cancer

RET is a paradigm of a single gene that causes different types of human neuroendocrine cancers and non-small cell lung cancer, but the role for RET in the development of SCLCs was however not widely addressed. In this study, we aimed to study the gene status and expression of RET in Chinese small cell lung cancer (SCLC). 88 cases of SCLC samples were collected. All samples were subject to fluorescence in-situ hybridization and immunohistochemistry to detect RET gene status and protein expression, among which 30 samples were detected by Sanger sequencing for RET gene mutations. RET positive and high expression was found in 31.8% and 22.7% of this cohort of SCLC samples, among which only 1 case was detected as RET gene rearrangement and IHC high expression. No amplification or gene copy number increase was detected in those cases. In addition, no RET gene mutation in exons 10, 11 and 13-16 was found in the 30 SCLC patients by Sanger sequencing. We have confirmed RET rearrangement in a subpopulation (1.25%) of Chinese SCLC patients, who may benefit from treatment of RET tyrosine kinase inhibitor.
Implementation of home automation and security system using PIR sensors

This paper focuses on the concept of home automation using Internet of Things. This allows the person to operate certain functions and operations of these devices connected in the IOT network even when they aren’t at home. This system utilizes sensors which can detect various values that its designated to and be controlled by the user. Likewise, the temperature sensor utilized will help the user get the control of the room temperatures and be able to control the AC according to their needs. These devices are controlled by using microcontrollers, sensors, RF Encoders and Decoders and can be monitored using mobile, Laptop or PC. There are various kinds of sensors which can be used to make the devices work without human intervention. With the increased number of devices, security needs to be taken care of and hence the PIR (Passive Infrared) sensors proposed detects any sort of movement that occurs at home to increase the concept of security. Any anomaly movements which may be there in-house which can be easily detected using LED and LCD setups. This can send request to a wi-fi system and hence the user can easily control all the appliances from anywhere. The main information is obtained from data obtained in cloud.
Physico-chemical characteristics of oil and biodiesel from Nigerian and Indian Jatropha curcas seeds

The oil and biodiesel produced from Nigerian and In dian Jatropha curcas seeds were evaluated using a parametric Student’s t-test model. The characterist ics assessed include oil yield, specific gravity, d ensity, acid value, free fatty acid, iodine value, saponificatio n value, peroxide value, viscosity and flash point. The results revealed significant differences (p < 0.05) between the yield of the Nigerian and Indian Jatropha oils (80% vs 56%). The acid value, free fatty acid, iodine value , peroxide and viscosity values were significantly higher in the Nigerian Jatropha oil compared to the Indian Jatropha oil. There was no significant difference in the density and moisture content between the two Jatropha oils. A higher flash point was recorded for the Nigerian Jatropha diesel. The calorific value was 48.31 MJ/k g in the Nigerian Jatropha diesel as against 47.50 MJ/k Indian Jatropha diesel. Most of the properties of t he Nigerian Jatropha diesel evaluated compared favo urably with the ATM and EN (for biodiesel) standard values. It could be concluded from this study that, Jatropha curcas plant found in Nigeria has the potential of boosting the economy in term of biodiesel production. © 2010 International Formulae Group. All rights res erved.
Identification of Expression QTLs Targeting Candidate Genes for Residual Feed Intake in Dairy Cattle Using Systems Genomics

Background: Residual feed intake (RFI) is the difference between actual and predicted feed intake and an important factor determining feed efficiency (FE). Recently, 170 candidate genes were associated with RFI, but no expression quantitative trait loci (eQTL) mapping has hitherto been performed on FE related genes in dairy cows. In this study, an integrative systems genetics approach was applied to map eQTLs in Holstein and Jersey cows fed two different diets to improve identification of candidate genes for FE. Methods: Liver RNA-seq transcriptomics data from nine Holstein and ten Jersey cows that had been fed control (C) or high concentrate (HC) diets were integrated with genomic data (from 777k BovineHD Illumina BeadChip) by using the Matrix eQTL R package. A total of 170 previously identified candidate genes for FE (89 differentially expressed genes (DEGs) between high and low RFI groups and 81 hub genes (HG) in a group of co-expressed genes) were used in the data integration analysis. Results: From the 241,542 SNPs used in the analysis, we identified 20 significant (FDR < 0.05) local-eQTLs targeting seven candidate genes and 16 significant (FDR < 0.05) local-eQTLs targeting five candidate genes related to RFI for the C and HC diet group analysis, respectively, in a breed-specific way. Conclusions: Interestingly, Holstein and Jersey cows appear to rely on different strategies (lipid and cholesterol metabolism versus immune and inflammatory function) to achieve low RFI. The eQTLs overlapped with QTLs previously associated with FE trait (e.g. dry matter intake, longevity, body weight gain and net merit). The eQTLs and biological pathways identified in this study improve our understanding of the complex biological and genetic mechanisms that determine FE traits in dairy cattle. The identified eQTLs/genetic variants can potentially be used in new genomic selection methods that include biological/functional information on SNPs.
FROM SOLAR TO STELLAR CORONA: THE ROLE OF WIND, ROTATION, AND MAGNETISM

Observations of surface magnetic fields are now within reach for many stellar types thanks to the development of Zeeman–Doppler Imaging. These observations are extremely useful for constraining rotational evolution models of stars, as well as for characterizing the generation of the magnetic field. We recently demonstrated that the impact of coronal magnetic field topology on the rotational braking of a star can be parameterized with a scalar parameter: the open magnetic flux. However, without running costly numerical simulations of the stellar wind, reconstructing the coronal structure of the large-scale magnetic field is not trivial. An alternative—broadly used in solar physics—is to extrapolate the surface magnetic field assuming a potential field in the corona, to describe the opening of the field lines by the magnetized wind. This technique relies on the definition of a so-called source surface radius, which is often fixed to the canonical value of 2.5 R ⊙ . > However this value likely varies from star to star. To resolve this issue, we use our extended set of 2.5D wind simulations published in 2015 to provide a criterion for the opening of field lines as well as a simple tool to assess the source surface radius and the open magnetic flux. This allows us to derive the magnetic torque applied to the star by the wind from any spectropolarimetric observation. We conclude by discussing some estimations of spin-down timescales made using our technique and compare them to observational requirements.
Indexing of ATLAS data management and analysis system metadata

This manuscript is dedicated to the development of the system to manage metainformation of ATLAS experiment. The main purpose of the system is to provide scientists with transparent access to the actual and historical metadata related to data analysis, processing and modeling. The system design addresses the following goals: providing a flexible and fast search for metadata on various combinations of keywords, generating aggregated reports, categorized according to selected parameters, such as the studied physical process, scientific topic, physical group, etc. The article presents the architecture of the developed indexing and search system, as well as the results of performance tests. The comparison of the query execution speed within the developed system and in case of querying the original relational databases showed that the developed system provides results faster. Also the new system allows much more complex search requests than the original storages.
Windowed Direct Exponential Curve Resolution Quantification ofNuc 1 ear Magnetic Resonance Spectroscopy with Applications to Amniotic Fluid Metabonomics

This thesis presents a quantitative protocol of proton nuclear magnetic resonance eH NMR) that aHows the determination of human amniotic fluid metabolite concentrations, which are then used in a metabonomic study to establish patient health during gestation. IH NMR free inductive decays (FIDs) of 258 human amniotic fluid samples from a 500MHz spectrometer are acquired. Quantitative analyses methods in both the frequencyand time-domain are carried out and compared. Frequency-domain analysis is accompli shed by integration of the metabolite peaks before and after the inclusion of a known standard addition of alanine. Time-domain analysis is accomplished by the direct exponential curve resolution algorithm (DECRA). Both techniques are assessed by applications to calibration biological solutions and a simulated data set. The DECRA method proves to be a more accurate and precise route for quantitative analysis, and is included in the developed protocol. WeH-defined peaks ofvarious components are visible in the frequency-domain IH NMR spectra, including lactate, alanine, acetate, citrate, choline, glycine, and glucose. AH are quantified with the proposed protocol. Statistical t-test and notched box and whisker plots are used to compare means of metabolite concentrations for diabetic and normal patients. Glucose, glycine, and choline are aH found to correlate with gestational diabetes mellitus early in gestation. With further development, time-domain quantitative IH NMR has potential to become a robust diagnostic tool for gestational health.
Comparison of Routing Protocol under Network Topology Change for Mobile Adhoc Network

Mobile ad-hoc network (MANET) is an autonomous system of mobile nodes connected by wireless links. Each node operates as a router to forward packets and also an end system. The nodes moves free to organize themselves into a network. These node changes their position frequently. Special routing algorithm is needed to accommodate its changing topology. Flat routing protocols may be sufficient for small networks. Moreover either hierarchical or geographic routing protocols are needed in larger networks. Density, size and the mobility of the nodes are considered for choosing network protocols. In this Paper an rigorous attempt has been made for comparing the performance of two prominent distance vector routing protocols for MANETs: Destination Sequenced Distance Vector (DSDV) & Dynamic Source Routing (DSR) routing protocols. As per our findings there is a significant performance differentials for both of these protocols.
Leadership in organizations : current issues and key trends

Of the many books written about leadership, few move beyond conventional accounts of theory, or truly scrutinise the leadership agenda. However, this exciting book sets a new agenda for the interpretation of leadership and development. Including contributions from some of the most distinctive leaders in the field, it considers the newest themes to come out of the leadership debate. Topics covered include: * leadership and integrity * learning leadership * career individualization * leadership development in the public sector. One of the first books to systematically link leadership and management, this distinctive and challenging text examines leadership in the context of career development. It critically assesses the more conventional training and development available to managers, and in doing so equips readers with the analytical perspectives and tools needed to understand the significance of leadership in contemporary organizations.
Characterization of an S-Layer-Like Protein and Select Antimicrobial Factors of the Novel Species Lactobacillus Coleohominis

Characterization of an S-layer-Iike Protein and Select Antimicrobial Factors of the Novel Species Lactobacillus coleohominis. Nicole Ann Marie Ayala, B.S. University of WisconsinMadison Lactobacilli in the vaginal tract have been reported be protective against infections with vaginal pathogenic microorganisms through the production of antimicrobial factors, competition for adherence to vaginal epithelium, and coaggregation with pathogens to aid in their clearing. In addition, the antimicrobial factors produced by certain species of lactobacilli have even been shown to interrupt the replication or alter the function of select viruses. Vaginal lactobacilli have been investigated for their antimicrobial characteristics, but little is known about the novel species L coleohominis. recently described in vaginal isolates (Nikolaitchouk et al. 2001). It was hypothesized that L coleohominis, found in the vaginal microenvironment. would have similar characteristics to L iners, a less protective inhabitant of the vagina. The goal of this thesis research was to initially characterize the antimicrobial factors of L coleohominis, investigate a possible S-layer protein, and later compare the characteristics of L coleohominis to other vaginal lactobacilli. The initial characterization involved analysis of cell and colony morphology, aggregation patterns, and lactic acid production. Further studies included reporting the reaction in litmus milk, investigating whether bacteriocins are produced, analyzing a possible Slayer protein gene through molecular means, and examining cell surface extracts through SDS-PAGE, UV-vis spectroscopy, intrinsic fluorescence spectroscopy, and Fourier transform infrared spectroscopy. Results indicated that L. coleohominis exhibited strong similarities to L. iners in regards to cell and colony morphology, aggregation patterns, and characteristics of cell surface proteins. These results suggest that L. coleohominis is likely a weak colonizer and would not provide the best protection against pathogenic microorganisms.
Comparative Fastness of AM Development in Roots of Different Rice Cultivars Due to Their Varying Responsiveness to AMF

Mycorrhiza varies in their responsiveness among the different plant and also within the species of a plant. This was established in case of various rice varieties in our previous study. Our hypothesis was that as AM fungi behaves like pathogen with the independent or negatively dependent variety group, a defence mechanism may triggered which restricted the fungi to grow in those plant root where as dependent variety group should allow the fungi to grow and there may be some differences in the penetration phase to colonization phase of the AM fungi between the two variety groups. Based on the above, 8 rice varieties were selected with varying responsiveness for the study with challenged inoculation. Root colonization process for AM development was examined at 10 to 15 days of seed germination. The colonization processes in low or non responsive variety groups are slower than that of the high responsive variety groups. Although, there is no difference in pre and post colonization structures but differ in intensity, the high responding varieties allowing faster and earlier establishment of mycorrhiza than the low or non responsive varieties.
An Efficient Algorithmic Way to Construct Boltzmann Machine Representations for Arbitrary Stabilizer Code

An efficient algorithm for constructing restricted Boltzmann machine (RBM) architecture of arbitrary stabilizer group is presented. Some partial results of this problem have been given in arXiv:1802.03738, in this work we give a complete solution via a different approach. We show that by transforming a stabilizer group into the standard form, every stabilizer code state can be efficiently represented by RBM architecture and we can explicitly get the RBM parameters in this algorithmic way.
LEARNED WITH THE INNOVATION TRIANGLE INITIATIVE

One of the roles of ESA is to support the introduction of technology innovation in the space environment. This is the aim of the Innovation Triangle Initiative (ITI), whose specific goal is to explore technologies or services for space applications that are not currently being used or exploited in the context of space and have therefore the potential of being the seed for significant innovation. ITI is based on the concept that a close collaboration between three different types of entities: the inventor, the developer and the customer, is an important factor for the rapid and successful introduction of technology innovations in industry. Following a successful pilot phase, the operational phase of ITI, based on a WEB application http://iti.esa. int/, was officially launched on 16th March 2004 with a funding of 1.5 MEURO for 2004. The objective of this presentation is to present the ITI concept, the results achieved during the first year of operation of ITI, the lessons learned and the ITI implementation for 2005. Report Documentation Page Form Approved OMB No. 0704-0188 Public reporting burden for the collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden, to Washington Headquarters Services, Directorate for Information Operations and Reports, 1215 Jefferson Davis Highway, Suite 1204, Arlington VA 22202-4302. Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to a penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number. 1. REPORT DATE 13 JUL 2005 2. REPORT TYPE N/A 3. DATES COVERED 4. TITLE AND SUBTITLE Lessons Learned With The Innovation Triangle Initiative 5a. CONTRACT NUMBER
Why Do Some Firms Pay More? An Empirical Investigation of Inter-Firm Wage Differentials

The paper tests implications of efficiency wage theories, agency theories and union bargaining theory on Norwegian micro data. Firm specific means of individual characteristics as well as other firm characteristics are utilized to study the nature of high paying firms vs. lower paying firms. The study finds evidence in favor of all three types of non-market clearing models. Firms do not distinguish between workers with different levels of autonomy or union status in their wage setting. However, firms with a higher average level of employees' autonomy or union density pay better. Human capital effects, on the other hand, originate autonomy or union density pay better. Human capital effects, on the other hand, originate within firms. Wage enhancing mechanisms from each type of theory do not reinforce eachother: higher wages may serve several purposes in any one firm.