Miracle-dz/UniFAR-FTUs huggingface dataset:
MOLECULAR DOCKING AND DYNAMICS STUDIES ON THE PROTEIN-PROTEIN INTERACTIONS OF ELECTRICALLY ACTIVE PILIN NANOWIRES OF GEOBACTER SULFURREDUCENS

Molecular interactions are key aspects in biological recognitions applicable in nano/micro systems. Bacterial nanowires are pilus filament based structures that can conduct electrons. The transport of electron is proposed to be facilitated by filamentous fibers made up of polymeric assemblies of proteins called pilin. Geobacter sulfurreducens is capable of delivering electrons through extracellular electron transport (EET) by employing conductive nanowires, which are pilin proteins composed of type IV subunit PilA. Protein-protein interactions play an important role in the stabilization of the pilin nanowire assembly complex and it contains transmembrane (TM) domain. In current study, protein-protein docking and multiple molecular dynamic (MD) simulations were performed to understand the binding mode of pilin nanowires. The MD result explains the conformational behavior and folding of pilin nanowires in water environment in different time scale duration 20, 5, 5, 10 and 20ns (total of 60ns). Direct hydrogen bonds and water mediated hydrogen bonds that play a crucial role during the simulation were investigated. The conformational state, folding, end-toend distance profile and hydrogen bonding behavior had indicated that the Geobacter sulfurreducens pilin nanowires have electrical conductivity properties. Keywords: Geobacter sulfurreducens ; bacterial nanowires; protein-protein interaction docking; molecular modeling simulation.
Extraterrestrial amino acids identified in metal‐rich CH and CB carbonaceous chondrites from Antarctica

Carbonaceous chondrites contain numerous indigenous organic compounds and could have been an important source of prebiotic compounds required for the origin of life on Earth or elsewhere. Extraterrestrial amino acids have been reported in five of the eight groups of carbonaceous chondrites and are most abundant in CI, CM, and CR chondrites but are also present in the more thermally altered CV and CO chondrites. We report the abundance, distribution, and enantiomeric and isotopic compositions of simple primary amino acids in six metal‐rich CH and CB carbonaceous chondrites that have not previously been investigated for amino acids: Allan Hills (ALH) 85085 (CH3), Pecora Escarpment (PCA) 91467 (CH3), Patuxent Range (PAT) 91546 (CH3), MacAlpine Hills (MAC) 02675 (CBb), Miller Range (MIL) 05082 (CB), and Miller Range (MIL) 07411 (CB). Amino acid abundances and carbon isotopic values were obtained by using both liquid chromatography time‐of‐flight mass spectrometry and fluorescence, and gas chromatography isotope ratio mass spectrometry. The δ13C/12C ratios of multiple amino acids fall outside of the terrestrial range and support their extraterrestrial origin. Extracts of CH chondrites were found to be particularly rich in amino acids (13–16 parts per million, ppm) while CB chondrite extracts had much lower abundances (0.2–2 ppm). The amino acid distributions of the CH and CB chondrites were distinct from the distributions observed in type 2 and 3 CM and CR chondrites and contained elevated levels of β‐, γ‐, and δ‐amino acids compared to the corresponding α‐amino acids, providing evidence that multiple amino acid formation mechanisms were important in CH and CB chondrites.
HIGH-DIMENSIONAL ROBUST REGRESSION AND OUTLIERS DETECTION WITH SLOPE

The problems of outliers detection and robust regression in a high-dimensional setting are fundamental in statistics, and have numerous applications. Following a recent set of works providing methods for simultaneous robust regression and outliers detection, we consider in this paper a model of linear regression with individual intercepts , in a high-dimensional setting. We introduce a new procedure for simultaneous estimation of the linear regression coefficients and intercepts, using two dedicated sorted-1 penalizations, also called SLOPE [5]. We develop a complete theory for this problem: first, we provide sharp upper bounds on the statistical estimation error of both the vector of individual intercepts and regression coefficients. Second, we give an asymptotic control on the False Discovery Rate (FDR) and statistical power for support selection of the individual intercepts. As a consequence, this paper is the first to introduce a procedure with guaranteed FDR and statistical power control for outliers detection under the mean-shift model. Numerical illustrations, with a comparison to recent alternative approaches, are provided on both simulated and several real-world datasets. Experiments are conducted using an open-source software written in Python and C++.
Potential Theory in Classical Electrodynamics

E. Dans la theorie classique d'´electrodynamique de Maxwell les champselectromagnetiques sont souvent exprimes en potentiels pour faciliter la solution du systeme d'´equations d'ordre primaire. Cette methode obscurcit, cependant, le fait qu'il existe une inconsistence entre la loi d'induction de Faraday et la loi du flux de Maxwell. Il resulte, de cette contradiction interne, la consequence qu'il n'existe ni invariance de jauge ni solutions en general. Il s'avere que les integraux retardes, en particulier, ne representent pas de solutions propres des ´ d'ondes non homogenes. ABSTRACT. In Maxwell's classical theory of electrodynamics the fields are frequently expressed by potentials in order to facilitate the solution of the first order system of equations. This method obscures, however, that there exists an inconsistency between Faraday's law of induction and Maxwell's flux law. As a consequence of this internal contradiction there is neither gauge invariance, nor exist unique solutions in general. The retarded integrals, in particular, turn out not to represent proper solutions of the inhomogeneous wave equations.
Birla Sun Life Asset Management Company --Harting a Unique Success Trajectory

Mutual Funds are a vehicle for collective investment. Investors pool in their money to be managed collectively by an expert fund manager. Broadly, the mutual fund products are classified under the categories of Debt Funds, Equity Funds, Liquid Fund and Hybrid Mutual Funds. In India, it was only as late as in 1993 that the market was opened up for private players after the setup of Securities and Exchange Board of India (SEBI). While there are 44 companies that operate in this market, the industry is highly concentrated with the top 8 AMCs generating over 75% of the revenue. Interestingly, those top AMCs (led by HDFC, Reliance Capital, ICICI Prudential, Birla Sun Life and UTI) have differential focus on the different mutual fund categories. As of FY 2014-2015, Birla Sun Life Asset Management Company is one of the leading mutual funds in India. The company is ably headed by Balasubramanian, who joined the parent company (viz., Aditya Birla Financial Services) as a Group Management Trainee in 1994 and then rose to become the Chief Executive Officer of BSL AMC in August 2009. The company identified two categories of value that drove organisational success– external (regulatory changes, macro-economic developments, competitor moves and changes in the landscape) and internal (fund performance, distribution expansion, financial awareness, cost efficiency, risk management, AUM growth and asset mix). Finally, the case discusses the impact that organisational focus, the leadership and the parents, had on the growth of BSL AMC. The case ends with a few thought-provoking question – is the growth of BSL AMC sustainable? As the industry matures, the competition is reaching a new high; will BSL AMC be able to successfully defend its market leadership? Will the company’s current focus on debt products help, in light of the entire industry heavily tilted in favour of equity products? 1. In this teaching note, we examine the company’s success using the theoretical lens of industry attractiveness (Porter, 2008 & 1998) V-R-I-N attribute of resources (Collis & Montgomery, 1998; Kor & Mesko, 2013) and dynamic managerial capability. We also evaluate the ambidextrous capability (O’Reilly & Tushman, 2004; Birkinshaw & Gibson, 2004). and the possibility of focus on equity-based products by straddling (Ghemawat, 2006). We have also prepared a background industry note. Instructors may separately write to us for a copy.
An effective 6DoF motion model for 3D-6DoF Monte Carlo Localization

prof. Christian Laugier INRIA Rhone-Alpes (Fr), prof. Philippe Martinet Ecole Centrale de Nantes (Fr), prof. Urbano Nunes University of Coimbra (Pt), prof. Christoph Stiller Karlsruher Institut fur Technologie (D), prof. Alberto Broggi Universita di Parma (I)
Fuzzy Logic Based Sensorless Control of Three-Phase Brushless DC Motor Using Virtual Instrumentation

This paper presents a novel sensorless control of permanent magnet brushless DC motor (PMBLDC) using fuzzy controller. It is based on “indirect position sensing” method. The postion detection can be derived from the voltage and current waveforms. Such position information is derived from the line voltage difference measured at the terminals of the motor instead of back-electromagnetive force to eliminate the harmonics. For precise control and to get desired performance the motor is controlled using fuzzy controller. This Controller is virtually implemented in LABVIEW software of virtual Instrumentation. The waveforms also obtained easily from the front panel of LABVIEW. Because of the virtual fuzzy controller, there is no need of any separate processor like microcontroller or FPGA or DSP to implement the fuzzy logic. So this drive system has more advantage than the conventional sensorless control. As a result the proposed drive system is cost effective , more flexible and robust.
Assessment of under nutrition with composite index of anthropometric failure (CIAF) among under-five children in a rural area of West Bengal, India

Background: Malnutrition among under-five children is an important public health problem in developing countries, and a major cause of morbidity and mortality in India, hence the present study was conducted to find out the nutritional status of under-five children and to elicit the factors associated with it.Methods: This community based cross-sectional study was conducted among 142 under-five children during May to June 2017 in the areas under the jurisdiction of Nasibpur Primary Health Centre, Singur, West Bengal, India. Data on socio-demographic characteristics, feeding habits and other biological factors were obtained from structured questionnaire, followed by anthropometric measurement. Assessment of nutritional status of the children was done with the help of Composite Index of Anthropometric Failure (CIAF). Descriptive statistics and logistic regression were performed to analyse the data by using SPSS version 16.0. Results: The mean (standard deviation) age of the sample was 28.4 (±15.2) months. About 36.1% children were found to have anthropometric failure using CIAF (wasting only 2.1%, wasting and underweight 14.5%, wasting, stunting and underweight 5.5%, stunting and underweight 6.3%, stunting only 4.9%, underweight only 2.8%). Education of mother [AOR = 3.6 (1.2–10.8)], birth order [AOR = 3.7 (1.4-9.9)], and exclusive breast feeding practice [AOR = 7.3 (2.9–18.1)] remained the significant correlates when adjusted with other variables in the multivariable analysis.Conclusions: The high prevalence of malnutrition in the community requires multipronged approach regarding nutritional education, intensive information education and communication (IEC) activities for exclusive breast feeding through antenatal clinics and adoption of family planning methods.
CFD Prediction of the Turbulent Flow Generated in Stirred Square Tank by a Rushton Turbine

The Computational Fluid Dynamics (CFD) have been used in the analysis and design of agitated vessel. Most of the researches done in this area are limited to the baffled or unbaffled stirred tank. In this paper, we have been interested in studying of the new design. Particularly, the flow and turbulence fields in square vessel stirred by a standard Rushton turbine have been simulated by means of CFD techniques. The Navier-Stokes equations governing the phenomenon of transfer of momentum are solved by a discretization method for finite volume. The MRF approaches can be used in simulation of the steady state problem. The numerical results from the application of CFD code Fluent with the stationary approach Multi Reference Frame (MRF) are presented in the planes containing the blade. The validation of CFD results with experimental measurements showed a good agreement.
UK Mutual Fund Performance: Genuine Stock-Picking Ability or Luck

We use a bootstrap technique to construct a distribution of abnormal performance among UK equity mutual funds under a null hypothesis of zero abnormal performance. Such a distribution of random sampling variation around no abnormal performance is employed as an estimate of, or proxy for, luck in mutual fund performance. Actual performance is then compared against this luck distribution. Using a number of alternative risk adjustment performance models, we find that a small proportion of funds in the positive tail of a cross-sectional performance distribution produce a level of performance in excess of that which may be explained by good luck. Poor performance is generally found to be worse than bad luck. Please do not quote or reproduce without author permission. 1. The authors are grateful to Micropal for providing the mutual fund data set used in the analysis. 2. The author wishes to gratefully acknowledge financial support from the Arts Faculty Research Fund at University College Cork, Ireland.
Charged Massive Particle's Tunneling From Charged Non-Rotating Micro Black Hole

In the tunneling framework of Hawking radiation, charged massive particle's tunneling in charged non-rotating TeV-Scale black hole is investigated. To this end, we consider natural cutoffs as a minimal length, a minimal momentum, and a maximal momentum through a generalized uncertainty principle. We focus on the role played by these natural cutoffs on the luminosity of charged non-rotating micro black hole by taking into account the full implications of energy and charge conservation as well as the back- scattered radiation.
Phylogenetic versus convergent relationship between piscivorous cichlid fishes from Lakes Malawi and Tanganyika

S y n o p s i s . 67 I n t r o d u c t i o n . 67 M ethods, nom enclature and m a te ria ls . 68 M e t h o d s . 68 N o m e n c l a t u r e . 69 M a t e r i a l s . 70 A bbreviations used in text f ig u re s . 70 A natom ical d e s c r ip tio n . 73 Ethm ovom erine region o f the n e u ro c ra n iu m . 73 Cephalic m u sc le s . 77 Pharyngeal jaw a p p a r a tu s . 87 Discussion . 98 A cknow ledgem ents. 99 R e f e r e n c e s . 100
Relationship Engagement in Mergers and Acquisitions through Collegial Leadership

Research on the relationship engagement in Mergers and Acquisitions (M&As) is still unclear although this phenomenon has been explored in the global multi-business environment. Existing researches did not clearly demonstrate the importance of the relationship among M&A players in the amalgamation processes between an acquirer and the acquired firm. Thus, this paper attempts to highlight the influence of collegial leadership in initiating relationship engagement in the post M&A integration. Result shows that collegial leadership significantly influence the relationship engagement in M&A.
DNA Content of Germinating Spores, Individual Hyphal Cells and Resting Structure Cells of Verticillium spp. Measured by Microdensitometry

Using microdensitometry, the cell cycle was investigated in large populations (500) of Feulgen-stained nuclei in conidia, hyphae and resting structures of various strains (all haploid) of Verticillium albo-atrum and V. dahliae as well as a stable diploid strain, V. dahliae var. longisporum. When uninucleate conidia, harvested from 3 d Roux bottle agar cultures, were incubated in stationary liquid complete medium at 24 °C in the dark, they exhibited partial synchrony for germ-tube emergence (50% emergent at about 7 h, reaching 95% at 10 to 12 h), DNA replication (50% increase at about 7.5 h) and mitosis (50% at about 10 h, reaching 95% at 12 h); the second nuclear division occurred at 21 to 24 h. Significant amounts of DNA replication were not detected until 6 h; maximum levels, i.e. a doubling of DNA content (in nuclei not yet divided), occurred at 10 h. There was a 3 h G1 phase between the first and second nuclear divisions; the S and G2 phases were estimated at about 30 and 90 min duration, respectively. The absolute DNA content per nucleus for ungerminated conidia of one strain of V. dahliae was found to be 0.025 to 0.030 pg. In growing hyphae, only the apical cell(s) contained two or more nuclei; DNA levels approximated to those for ungerminated conidia (G1) but a small number of nuclei had begun the S phase. In hyphal tip regions comprising up to 10 cells, a synchronous nuclear division was observed, and nuclei in the apical cells often had higher DNA values than other nuclei in the same hypha. Cells of young microsclerotia (6 to 8 d-old) of V. dahliae and resting mycelium (9 to 12 d-old) of V. albo-atrum were haploid and uninucleate with a small minority of the nuclei in the S phase; no evidence for diploidy or endopolyploidy was found at these sampling levels.
Statistical Models for the Precision of Categorical Measurement

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Lawrence Berkeley National Laboratory Recent Work Title Fastlim : a fast LHC limit calculator

Fastlim is a tool to calculate conservative limits on extensions of the Standard Model from direct LHC searches without performing any Monte Carlo event generation. The program reconstructs the visible cross sections (cross sections after event selection cuts) from pre-calculated efficiency tables and cross section tables for simplified event topologies. As a proof of concept of the approach, we have implemented searches relevant for supersymmetric models with R-parity conservation. Fastlim takes the spectrum and coupling information of a given model point and provides, for each signal region of the implemented analyses, the visible cross sections normalised to the corresponding upper limit, reported by the experiments, as well as the CLs value. To demonstrate the utility of the program we study the sensitivity of the recent ATLAS missing energy searches to the parameter space of natural SUSY models. The program structure allows the straightforward inclusion of external efficiency tables and can be generalised to R-parity violating scenarios and non-SUSY models. This paper serves as a self-contained user guide and indicates the conventions and approximations used.
Thresholding approach to radiography image processing acceleration

An approach for detecting low-value Laplacian pyramid coefficients which can be used to accelerate radiography image processing is presented. The acceleration is achieved through modifying Laplacian pyramid construction algorithm. Detection of low-value coefficients in lower pyramid layers is based on corresponding low-value higher layer coefficients which are lower than the threshold. Detected coefficients are then omitted in pyramid calculation and by the radiography image enhancement algorithm. Clinical radiography images are used to evaluate the proposed approach. Structural similarity index (SSIM) is employed to measure similarity between images processed with and without proposed acceleration. Threshold value analysis shows that high image quality with a mean SSIM of 0.995 can be achieved with mean processing time reduction of 4.62 %.
Aggregated Energy Storage for Power System Frequency Control: A Finite-Time Consensus Approach

In future power systems, widespread small-scale energy storage systems (ESSs) can be aggregated to provide ancillary services. In this context, a new load frequency control scheme which incorporates the energy storage aggregator (ESA) and its associated disturbance observer is proposed. The disturbance observer is designed to supplement the secondary frequency control for the ESA, therefore the system frequency response and recovery can be improved. Within the ESA, a finite-time leader–follower consensus algorithm is proposed to control the small-scale ESSs via sparse communication networks. This algorithm ensures that the ESA tracks the frequency control signals, while the state-of-charge among each ESS is balanced in finite-time. The external characteristics of the ESA will resemble to that of one large-scale ESS. Numerical examples demonstrate the convergence of the ESA under different communication graphs. The effectiveness of the entire scheme for power system frequency control is validated under a variety of scenarios that include contingency and normal operation.
The Ocean Observing System for Tropical Cyclone Intensification Forecasts and Studies

(1) NOAA Atlantic Oceanographic and Meteorological Laboratory, Miami, FL, USA, Gustavo.Goni@noaa.gov, Sim.Aberson@noaa.gov, Rick.Lumpkin@noaa.gov, George.Halliwell@noaa.gov, (2) NOAA Regional and Mesoscale Meteorology Branch, Fort Collins, CO, USA, Mark.DeMaria@noaa.gov, Knaff@cira.colostate. edu (3) Naval Research Laboratory, Monterey, CA, USA, sampson@nrlmry.navy. mil (4) Woods Hole Oceanographic Institution, Woods Hole, MA, USA, jprice@whoi.edu (5) NOAA National Centers for Environmental Prediction, Camp Spring, MD, USA, Avichal.Mehra@noaa.gov (6) University of Rhode Island, Graduate School of Oceanography, RI, USA, iginis@gso.uri. edu (7) Department of Atmospheric Sciences, National Taiwan University, Taipei, Taiwan, iilin@as.ntu. edu.tw (8) Center for Australian Weather and Climate Research, Melbourne, Australia, P.Sandery@bom.gov. au (9) Mercator Ocean, Ramonville St. Agne, France, silvana.buarque@mercator-ocean.fr (10) Oceanography Division, National Remote Sensing Centre, Hyderabad, India, mmali@nrsa.gov. in (11) University of Miami, Cooperative Institute for Marine and Atmospheric Studies, Francis.Bringas@noaa.gov (12) NOAA Tropical Prediction Center, Miami, FL, USA, Chris.Lauer@noaa.gov (13) Florida State University, Tallahassee, FL, USA, echassignet@coaps.fsu. edu (14) Eduardo Mondlane University, Maputo, Mozambique, amavume@gmail.com (15) National Typhoon Center/KMA, Jeju, South Korea, krkang@kma.go. kr
Metabolomic variation of brassica rapa var. rapa (var. raapstelen) and raphanus sativus l. at different developmental stages

Brassica rapa (var. raapstelen) and Raphanus sativus (red radish) are being used as food and fodder while also known as model in recent plant research due to the diversity of metabolites as well as genetic resemblance to Arabidopsis. This study explains the change in metabolites (amino acids, organic acids, chlorophyll, carotenoids, tocopherols, ascorbic acid, sucrose, phenylpropanoids and glucosinolates) during plant development. In present study the metabolomic variation in relation to plant growth has been evaluated, for Brassica rapa (var. raapstelen) and red radish (Raphanus sativus) at three different developmental stages. A non-targeted and targeted metabolomic approach by NMR and HPLC in combination with Principal component analysis (PCA) of the data was used to identify phytochemicals being influenced by plant growth. The results lead to the better understanding of metabolic changes during plant development and show the importance of plant age with respect to the metabolomic profile of vegetables.