Miracle-dz/UniFAR-FTUs huggingface dataset:
Tandem mass spectrometry of novel ether-linked phospholipid analogs of anionic pulmonary surfactant phospholipids.

RATIONALE Structural analogs of the bioactive lipid 1-palmitoyl-2-oleoyl-sn-glycero-3-phosphoglycerol were synthesized with a xylitol polar head group and both diacyl and diether radyl groups. Mass spectral characterization of xylitol phospholipids (PX) was carried out using collisional activation and high-resolution mass measurements of positive molecular ion species and compared with the phosphatidylglycerol (PG) analogs. METHODS PX were synthesized using a transphosphatidylation reaction catalyzed by phospholipase D and purified by high-performance liquid chromatography (HPLC). Compounds were subjected to electrospray ionization and collision-induced dissociation (CID) was performed using a tandem quadrupole mass spectrometer to generate positive and negative molecular ions. Diether phospholipids were additionally analyzed by high-resolution mass spectrometry as protonated and sodiated molecular species in positive ion mode. RESULTS Ester-linked PX analogs behaved similarly to PG after collisional activation of [M - H]- . The product ions formed by CID of the diether PG and PX negative ions only revealed information about the head group with no information about the aliphatic chains. In contrast, CID of protonated and sodiated diether phospholipid positive ions revealed reactions corresponding to cleavage of the ether chain, likely occurring by charge-driven reaction mechanisms. CONCLUSIONS Novel PX analogs with diacyl and diether radyl substituents of the glycerol backbone were characterized by tandem mass spectrometry. These unique diether phospholipid analogs enabled exploration of ether cleavage reactions of the positive molecular ion species resulting from collision-induced decomposition. Copyright © 2016 John Wiley & Sons, Ltd.
Indefinite Kernel Fisher Discriminant

Indefinite kernels arise in practice, e.g. from problem-specific kernel construction. Therefore, it is necessary to understand the behavior and suitability of classifiers in the corresponding indefinite inner product spaces. In this paper we address the Indefinite kernel fisher discriminant (IKFD). First, we give the geometric interpretation of the Fisher Discriminant in indefinite inner product spaces. We show that IKFD is closely related to the well-known formulation of the traditional kernel fisher discriminant derived for positive definite kernels. Practical implications are that IKFD can be directly applied to indefinite kernels without manipulation of the kernel matrix. Experiments demonstrate the geometrically intuitive classification and enable comparisons to other indefinite kernel classifiers.
Anaerobic degradation of 2-aminobenzoate (anthranilic acid) by denitrifying bacteria

In the presence of oxygen many aminoaromatic compounds polymerize to form recalcitrant macromolecules. To circumvent undesirable oxidation reactions, the anaerobic biodegradation of a simple member of this class of compounds was investigated. Two strains of bacteria were isolated which degrade 2-aminobenzoate anaerobically under denitrifying conditions, with nitrate as the terminal electron acceptor. Both organisms, which were assigned to the genus Pseudomonas, oxidized 2-aminobenzoate completely to CO2 and NH4+. Nitrate was reduced to nitrite. When nitrate was deplete from the growth medium the accumulated nitrite was reduced to nitrogen. The results establish a model system for the anaerobic, rapid, and complete oxidation of an aminoaromatic compound.
Linking Personality and Emotional Labor : The Mediating Role of Relationship Conflict and Conflict Management Styles .

In business organizations, a number of employees with different personalities work together. During their daily interactions with one another, conflicts emerge due to their diverse personalities and personal differences. However, they are somehow required to work together and along with that, are demanded, by the management, to interact nicely with customers and colleagues, which at times may leads them to pretend positive emotions and feelings; hence suffer emotional labor. Emotional labor is a new concept in business research. It is said to be a product of the rapid growth of service industry. It is proven to have detrimental impact upon the employee psychological and physical health and resultantly on their performance. So, emotional labor has become a new challenge for the modern managers and therefore, they are trying to find ways to reduce or eliminate it. The purpose of this study is to empirically test the mediating role of relationship conflict and conflict management styles on the relationship of personality and emotional Labor. In this cross-sectional study, respective data is collected from randomly selected 450 bank managers through self-administered questionnaires. Structural equation modeling technique with AMOS software is used for data analysis. The results show that relationship conflict and conflict management styles fully mediate the relationship between personality and emotional Labor. This study will open new vistas of research by proving that emotional labor can be controlled and reduced by using appropriate conflict management style and by verifying the pivotal role of personality in relation to emotional labor, relationship conflict and the choice of conflict management style.
AGenDA: gene prediction by cross-species sequence comparison

Automatic gene prediction is one of the major challenges in computational sequence analysis. Traditional approaches to gene finding rely on statistical models derived from previously known genes. By contrast, a new class of comparative methods relies on comparing genomic sequences from evolutionary related organisms to each other. These methods are based on the concept of phylogenetic footprinting: they exploit the fact that functionally important regions in genomic sequences are usually more conserved than non-functional regions. We created a WWW-based software program for homology-based gene prediction at BiBiServ (Bielefeld Bioinformatics Server). Our tool takes pairs of evolutionary related genomic sequences as input data, e.g. from human and mouse. The server runs CHAOS and DIALIGN to create an alignment of the input sequences and subsequently searches for conserved splicing signals and start/stop codons near regions of local sequence conservation. Genes are predicted based on local homology information and splice signals. The server returns predicted genes together with a graphical representation of the underlying alignment. The program is available at http://bibiserv.TechFak. Uni-Bielefeld.DE/agenda/.
Comprehensive Resource Use Monitoring for HPC Systems with TACC Stats

This paper reports on a comprehensive, fully automated resource use monitoring package, TACC Stats, which enables both consultants, users and other stakeholders in an HPC system to systematically and actively identify jobs/applications that could benefit from expert support and to aid in the diagnosis of software and hardware issues. TACC Stats continuously collects and analyzes resource usage data for every job run on a system and differs significantly from conventional profilers because it requires no action on the part of the user or consultants -- it is always collecting data on every node for every job. TACC Stats is open source and downloadable, configurable and compatible with general Linux-based computing platforms, and extensible to new CPU architectures and hardware devices. It is meant to provide a comprehensive resource usage monitoring solution. In addition to describing TACC Stats, the paper illustrates its application to identifying production jobs which have inefficient resource use characteristics.
Mimicking Classical Conditioning Based on a Single Flexible Memristor

The mimicking of classical conditioning, including acquisition, extinction, recovery, and generalization, can be efficiently achieved by using a single flexible memristor. In particular, the experiment of Pavlov's dog is successfully demonstrated. This demonstration paves the way for reproducing advanced neural processes and provides a frontier approach to the design of artificial-intelligence systems with dramatically reduced complexity.
Arsenosugar phospholipids and arsenic hydrocarbons in two species of brown macroalgae

Environmental context Although organoarsenic compounds occur in marine organisms at high concentrations, the origin and role of these compounds is unknown. Arsenic-containing lipids (arsenolipids) are newly discovered compounds in fish. We identify a range of arsenolipids in algae and propose that algae are the origin of these unusual arsenic compounds in marine ecosystems. Abstract Fourteen arsenolipids, including 11 new compounds, were identified and quantified in two species of brown algae, Wakame (Undaria pinnatifida) and Hijiki (Hizikia fusiformis), by high resolution mass spectrometry, high performance liquid chromatography–mass spectrometry and gas chromatography–mass spectrometry. Both algal species contained arsenosugar-phospholipids as the major type of arsenolipid, and arsenic-hydrocarbons were also significant components, particularly in Hijiki. The origin of the various arsenolipids, and the possible significance of their relative quantities, is briefly discussed.
Active Metamaterial and Waveguide Devices with Applications in Terahertz Communications

of “Active Metamaterial and Waveguide Devices with Applications in Terahertz Communications” by Nicholas J. Karl, Ph.D., Brown University, May 2018 This work was motivated by the need to demonstrate new capabilities in the terahertz frequency range for modulation, multiplexing and beam steering. Which is driven by the demand for wireless communication networks to operate at terahertz frequencies within the coming decade. A promising candidate to address these challenges is the active terahertz metasurface. This photonic component is based on a metamaterial that is tunable through the application of an external voltage bias. The metasurface is an array of metamaterial elements in a two-dimensional grid, patterned on a semiconductor substrate. I present analytic and experimental evidence that these metasurface devices have good performance characteristics as diffractive modulators, which can reach up to 20 dB modulation depth at kilohertz switching speeds. I illustrate that the diffracted radiation has larger bandwidth than the amplitude resonance data predicts, which indicates that a combined amplitude-phase modulation leads to broadband operation. To understand this behavior I characterize the metasurface using terahertz ellipsometry. The characterization of the active response of an electrically tunable metamaterial is an open problem worth studying. Having a good understanding of this behavior will help guide active metamaterial device design. I present experimental data and an ellipsometric model involving finiteelement-method simulations. I find a relation between the voltage applied to the metamaterial and the epilayer conductivity, a useful result that can be used in device design. Finally I use this result to design a phase modulator device. In addition to metamaterials, I study a parallel plate waveguide based leaky wave antenna, which demonstrates multiplexing capability in the terahertz frequency range. Taking advantage of a phase matching condition in the dispersive TE1 waveguide mode, the leaky wave antenna can multiplex frequencies together, and demultiplex a broadband beam. I provide experimental and numerical evidence showing how the device functions, and demonstrate multiplexing and demultiplexing behavior. I show how this device has a large parameter space, describe a possible design scenario, and develop a strategy for multiplexing 6 channels of 20 GHz bandwidth each. Devices that exhibit these kinds of functionality will play a large role in the architecture of future terahertz wireless networks. Active Metamaterial and Waveguide Devices with Applications in Terahertz Communications By Nicholas Jason Karl A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the School of Engineering at Brown University Providence, Rhode Island May 2018 © 2018 by Nicholas J. Karl
Tensor decomposition for color printer model lookup table

Multidimensional lookup tables (LUTs) are often used to describe the response of physical systems to multiple inputs. However these tables are also tensors, and in this paper we will use tensor decomposition to greatly reduce the number of parameters needed to generate an accurate approximation to the tensor, and discuss how to determine these parameters from a small number of known tensor elements. We will use this approach to generate printer models, which are CMY or CMYK to L*a*b* LUTs where each element is an L*a*b* value for one CMYK formulation. The approach generates accurate results with a reasonable number of L*a*b* measurements, and can be used when nothing else is known about the system. It also runs much faster than the physics based models that are sometimes available for these systems.
Insertion Devices at Diamond Light Source: A Retrospective Plus Future Developments

2017 marks the tenth year of Diamond operation, during which time all insertion device straights have been filled. Diamond Light Source is a third generation, 3 GeV facility that boasts 29 installed insertion devices. Most room temperature devices have been designed, manufactured and measured in-house, and progress has been made in structure design and control systems to ensure new devices continue to meet stringent requirements placed upon them. The ‘completion’ of the storage ring is not, however, the end of activity for the ID group at Diamond, as beamlines map out potential upgrade paths to Cryogenic Permanent Magnet Undulators (CPMUs) and SuperConducting Undulators (SCUs). This paper traces the progress of ID design at Diamond, and maps out future projects such as the upgrade to CPMUs and the challenges of designing a fixed-gap mini-wiggler to replace a sextupole in the main storage ring lattice.
Using social network analysis and agent-based modelling to explore information flow using common operational pictures for maritime search and rescue operations

The concept of common operational pictures (COPs) is explored through the application of social network analysis (SNA) and agent-based modelling to a generic search and rescue (SAR) scenario. Comparing the command structure that might arise from standard operating procedures with the sort of structure that might arise from examining information-in-common, using SNA, shows how one structure could be more amenable to ‘command’ with the other being more amenable to ‘control’ – which is potentially more suited to complex multi-agency operations. An agent-based model is developed to examine the impact of information sharing with different forms of COPs. It is shown that networks using common relevant operational pictures (which provide subsets of relevant information to groups of agents based on shared function) could result in better sharing of information and a more resilient structure than networks that use a COP. Practitioner Summary: SNA and agent-based modelling are used to compare different forms of COPs for maritime SAR operations. Different forms of COP change the communications structures in the socio-technical systems in which they operate, which has implications for future design and development of a COP.
A taxonomic study of Lingula reevii and survey abundance in relation to varying environmental parameters in South Kāne'ohe Bay

Lingula reevii is an inarticulated brachiopod that is listed as a species of concern within Kāneʻohe Bay, Hawaiʻi. The abundance of L. reevii throughout Kāneʻohe Bay has been decreasing since it was first studied in 1969, causing NOAA to add it to the Species of Concern list in 2004. In this study, L. reevii was genetically sequenced and compared to similar species in a phylogenetic tree. The data clearly showed that L. reevii was genetically distinct from the other species included in the tree. Field observations were conducted to determine if the abundance of L. reevii was decreasing and if a decrease could be caused by environmental factors such as salinity, pH, temperature, and sediment grain size. Transect surveys were performed at 11 sites throughout the bay. A general linear model was used to see if these factors were statistically significant. The effects of salinity, pH and the two factors combined were all determined to be significant. This study was unable to compare the abundance of L. reevii found in past years’ studies because the study methods were not analogous. Future management efforts should include standardizing survey methods and using genetic analysis to compare populations from Hawaiʻi to those in Japan and Indonesia. Also, to assess variability within the Hawaiian population as well as increasing the sample size to improve the length equation.
Designing and implementing maturity models in hospitals: An experience report from 5 years of research

In recent years, a wide range of generic and domain-specific maturity models have been developed in order to improve organizational design and learning of healthcare organizations. While many of these studies describe methods on how to measure dedicated aspects of a healthcare organization’s “maturity,” little evidence exists on how to effectively implement and deploy them into practice. This article therefore delineates the encountered challenges during the design and implementation of three maturity models for distinct improvement areas in hospitals. On the one hand, this study’s findings may serve as basis for refining existing maturity model design approaches. On the other hand, it may facilitate further research in domain-specific organizational design with maturity models.
Synthesis, characterization of CuO nanostrips and ultrasonic study of CuO-transformer oil nanofluids

The CuO nanostrips are synthesized by simple low cost wet chemical route. Synthesized nanostrips are characterized by energy dispersive analysis of x-rays for chemical composition. The crystal structure of the CuO nanostrips is determined by x-ray diffraction. The CuO nanostrips posses monoclinic structure having lattice parameters as; a = 4.68, b = 3.42, c = 5.13, α = 90°, β = 99.54° and γ = 90°. The high-resolution transmission electron microscopy and scanning electron microscopy showed synthesized CuO has strip like morphology. The synthesized CuO nanostrips are dispersed in two transformer oils, one of make year 1997 and another of make year 2017. Four different CuO nanostrips concentrations (0.01, 0.02, 0.03, 0.04 vol%) are dispersed in the two transformer oils. The CuO-transformer oils mixing are done by ultrasonication. The stability of the prepared transformer nanofluids is confirmed by UV–vis spectroscopy and zeta potential method. The prepared transformer nanofluids are studied by ultrasonic interferometer. The ultrasonic study of the transformer nanofluids are done at high temperatures of 303 K, 313 K, 323 K, 333 K and 343 K. The obtained results are discussed in this paper.
A dynamic single actuator vertical climbing robot

A climbing robot mechanism is introduced, which uses dynamic movements to climb between two parallel vertical walls. This robot relies on its own internal dynamic motions to gain height, unlike previous mechanisms which are quasi- static. One benefit of dynamics is that it allows climbing with only a single actuated degree of freedom. We show with analysis, simulations and experiments that this dynamic robot is capable of climbing vertically between parallel walls. We introduce simplifications that enable us to obtain closed form approximations of the robot motion. Furthermore, this provides us with some design considerations and insights into the mechanism's ability to climb.
Supporting Mobile Multimodal Interaction with a Rule-Based Framework

Multimodality can make (especially mobile) device interaction more efficient. Sensors and communication capabilities of modern smartphones and tablets lay the technical basis for its implementation. Still, mobile platforms do not make multimodal interaction support trivial. Building multimodal applications requires various APIs with different paradigms, high-level interpretation of contextual data, and a method for fusing individual inputs and outputs. To reduce this effort, we created a framework that simplifies and accelerates the creation of multimodal applications for prototyping and research. It provides an abstraction of information representations in different modalities, unifies access to implicit and explicit information, and wires together the logic behind context-sensitive modality switches. In the paper, we present the structure and features of our framework, and validate it by four implemented demonstrations of different complexity.
A Computational Framework to Simulate the Coevolution of Language and Social Structure

In this paper, a multi-agent computational model is proposed to simulate the coevolution of social structure and compositional protolanguage from a holistic signaling system through iterative interactions within a heterogeneous population. We implement an indirect meaning transference based on both linguistic and nonlinguistic information in communications, together with a feedback without direct meaning check. The emergent social structure, triggered by two locally selective strategies, friendship and popularity, has small-world characteristics. The influence of these selective strategies on the emergent language and the emergent social structure are discussed.
TV Content Recommender System

The plethora of content available to the consumer has become overwhelming. Increasing amounts of information are being disseminated through terrestrial broadcast, satellite, and cable leading to an information overload. Common modes of searching for TV programs currently in existence include: TV-guide, PreVue channel and rudimentary search tools available through satellite dish TV programming service. These tools are general-purpose in nature and are not specifically tailored to the individual viewer’s taste. Towards that end we advance in this paper a recommender system that searches for TV programs based on their likes/dislikes through implicit personalization techniques.
Defining optimal laser-fiber sweeping angle for effective tissue vaporization using 180 W 532 nm lithium triborate laser.

PURPOSE The goal of this study is to identify the most efficient sweeping angle (SA) during photoselective vaporization of the prostate (PVP). MATERIALS AND METHODS Experiments were conducted with GreenLight XPS™ laser at 120 and 180 W. Ten blocks of porcine kidney were used for each SA (0, 15, 30, 45, 60, 90, and 120 degrees). Vaporization efficiency was assessed by the amount of tissue removed per time. The coagulation zone (CZ) thickness was also measured. RESULTS Maximal vaporization rate (VR) was achieved at SA 15 and 30 degrees. Irrespective of power, VR increased and CZ decreased linearly with decreasing SA from 120 to 30 degrees. The CZ was the thinnest at SA 30 degrees. CONCLUSIONS Optimal vaporization occurred at a SA of 15 degrees and 30 degrees with the lowest CZ at 30 degrees. Contrary to a previous recommendation for a wider SA (60 degrees or greater), a narrower SA (30 degrees) achieved the maximal tissue vaporization efficiency.
Uric acid is associated with vascular dementia in Chinese population

Mounting evidence suggests that oxidative stress is involved in the pathogenesis of vascular dementia (VD). Uric acid (UA) has long been implicated as a critical cause of cardiovascular disease. Nevertheless, UA was also expected to play an important role in antioxidant and neuroprotection recently. We hypothesized that UA may have a protective role against VD. The aim of this study was to investigate the link between serum UA and cognitive dysfunction in VD.