Miracle-dz/UniFAR-FTUs huggingface dataset:
/ Biochemical Genetics of Nitrogen FixationtU 11.

Procaryotes capable of N2 fixation have representatives in many genera. Free-living N2-fixing bacteria (those not intimately associated with a specific plant) include members of Klebsiella, Azotobacter, Clostridium, Rhodospirillum, Aspirillum, and various cyanobacteria. Included among bacteria that normally fix N2 only when they are symbiotically associated with a plant are Rhizobium spp. (which nodulate legumes [78, 241]), certain actinomycetes (which nodulate Comptonia and alder [225]), and Anabaena azollae (which fixes N2 within the leaf pores of the water fern Azolla [169]). No eucaryotic organisms have been shown to fix N2. The biology, biochemistry, regulation, and genetics ofN2 fixation are quite complex. However, the production of active cell-free extracts (40), the purification of nitrogenase (31, 33, 72, 146, 194, 231), and the use of the acetylene reduction assay for nitrogenase activity (60, 91; R. Schollhorn and R. H. Burris, Fed. Proc. 25:710, 1966) have led to rapid advances in the past decade in our understanding ofthis economically important system. Several books on N2 fixation have been published recently (32, 67, 90, 101, 154, 178), and a variety of specialized topics concerning N2 fixation have been reviewed, including biochemistry (62, 71, 126, 147, 249), the Rhizobium infection process (16, 27, 53, 190), nonlegume symbioses (1), cyanobacteria (95, 250), and genetics and regulation (14, 25, 201). This article focuses on concepts that have
Ownership Concentration, Dividend Policy and Firm Performance in Pakistan

Data is drawing from a sample of Chemical firms listed at Karachi Stock Exchange of Pakistan over the period 2002–2017, this paper investigates the relationship between ownership concentration and dividend policy on firm financial performance. Using panel data analysis, the evidence is found to support the assumption of a significant relationship between ownership concentration and dividend policy on firm financial performance. The findings reveal that ownership concentration has a significant positive association with firm financial performance. This stated that larger shareholders can attribute to the alignment of managerial incentives with shareholder interests. They also monitor the team very effectively and efficiently. Dividend policy has a significant positive relationship with ROA. Leverage and Tangibility have a significant negative relationship with financial performance. Board size also has a significant positive impact on firm performance. These results potentially can be relevant for policymakers and academic research.
marginal degeneration, ectatic disease, Keratoconus and Ectatic Disease: Evolving Criteria for Diagnosis Keratokonus und Hornhautektasie: Weiterentwicklung der diagnostischen Kriterien

diagnosing ectatic corneal increased, coinciding the cross-link-ing on the ABSTRACT The approach to corneal ectatic disease has changed dramat-ically over the last decade with advances in both diagnosis and treatment. Newer treatments, such as corneal cross-linking, have the potential to slow or stop the progression of the disease, but benefit from earlier identification of the disease than had previously been possible or required. The continued use of older diagnostic criteria and ambiguous terminology can lead to erroneous study conclusions that may not be applicable to patients with true pathology. zuvor möglich oder nötig. Die weitere Nutzung veralteter diagnostischer Kriterien in Verbindung mit der oft mehrdeutigen Terminologie kann zu irrtümlichen Studien-ergebnissen führen, die für Patienten mit tatsächlicher Hornhautektasie nicht zutreffen.
Structure and function of a novel elongation factor P subfamily in Actinobacteria

Eu-karya, Archaea, and all bacteria investigated so far, the functionality of this translation elongation factor depends on speciﬁc and rather unusual post-transla-tional modiﬁcations. The phylum Actinobacteria, which includes the genera Corynebacterium , Mycobacterium , and Streptomyces , is of both medical and economic signiﬁcance. Here, we report that EF-P is required in these bacteria in particular for the translation of proteins involved in amino acid and secondary metabolite production. Notably, EF-P of Actinobacteria species does not need any post-translational modiﬁcation for activation. While the function and overall 3D structure of this EF-P type is conserved, the loop containing the conserved lysine is ﬂanked by two essential prolines that rigidify it. Actinobacteria’s EF-P represents a unique subfamily that works without any modiﬁcation. quantiﬁed using Fiji (Schindelin et al., 2012). Statistical analysis was done by using two-tailored t test. Quantiﬁcation of Cgl1117 production was done by monitoring ﬂuorescence of Cgl1117-eGFP. The strains C. glutamicum D efp and C. glutamicum efp -6His (which pro-duces His-tagged EF-P) were grown in BHI medium to an OD 600 of 2. Cells were collected by centrifugation, washed in ice-cold PBS, ﬁxed and imaged under the microscope. eGFP ﬂuorescence was quantiﬁed as described above. for 10 for at 200 at 300
Performance Evaluation of Distributed Superconducting Magnetic Energy Storage System (D-SMES) for Power and Frequency Control

In this paper, the structure of Distributed Superconducting Magnetic Energy Storage System (D-SMES) is proposed in order to power and frequency control. The main parts that a D-SMES consists of, the various configurations and operational techniques are discussed. The advantages and disadvantages of superconducting energy storage compared with other solutions are provided. Using D- SMES allows utilities to improve system reliability and transfer capacity, giving cost-effective grid stabilization for entire electric utility systems. To demonstrate this ability of a D-SMES device, simulations were performed using the MATLAB software. The simulation results are provided and discussed.
Developing Generic Flight Schedules for Airport Clusters

Flight schedules represent a crucial element of airline as well as airport operations. Information which airline fly on which time, to which destination, using which aircraft type are listed in a typical flight schedule and can be extended by any further information. But how a flight schedule of a cluster of similar but not identical airports looks like? The paper’s main objective is to implement a methodology of developing generic flight schedules, one for each pre-defined airport cluster, out of a set of real flight schedules and segments of the cluster representatives. Statistical and probability distributions are used to determine a suitable weekly distribution of arrival and departure flights, which is filled up with flight-specific data of such an airport cluster. Every airport-specific data like origin/destination information, specific aircraft type, passenger volume etc. are transferred into generic categories. The methodology is implemented in a model called “Builder of generic Schedules”, short BogS. It is shown that a generic flight schedule for a present situation can be provided and is suitable for airport cluster representatives. Furthermore a future scenario can be outlined, issuing the attributes future development, especially the future frequency of aircraft movements.
Broyler Posası ve Enzim Kullanımının Performans Parametreleri

yemden oranı grup grup grup şekilde amaçla adet günlük broylerler kullanılmıştır. Kontrol, Üzüm ve Enzim grupları altında grupta grupta civciv olacak üzüm posası temel enzim üzüm posası Çalışma enzim ilavesinin ağırlık canlı ağırlık artışını Abstract: In this study, the effects of the addition
Running head: PREDICTING LANGUAGE PROFICIENCY IN BILINGUAL CHILDREN 1 Predicting language proficiency in bilingual children

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Predictive control of a wave energy converter with wave prediction using differential flatness

This paper presents a fast constrained optimization approach, which is tailored for nonlinear model predictive control of wave energy converters (WEC). The advantage of this approach relies on its exploitation of the differential flatness of the WEC's dynamics. This can reduce the dimension of the resulting nonlinear programming problem (NLP) derived from the optimal control of a WEC based on the pseudospectral method. The alleviation of computational burden using this approach promotes an economic implementation of nonlinear model predictive control strategy for WEC control problems. The method is applicable to nonlinear WEC models, nonconvex objective functions and nonlinear constraints, which are commonly encountered in WEC control problems. A case study demonstrates the efficacy of this method.
Using common Learning Resources in Academia and Industry From Practice to Theory

Higher Education Institutions (HEIs) and companies hold similar learning and development necessities to grow engineering minds. However few research is available on the collaborative design of instructional material which could be used in both contexts [1]. In 2011, we started a research project to understand how the academic and corporate environments influence the way a learning resource is used by students and employees in Engineering Education (EE). More particularly, we are aiming to make explicit the assumptions and decisions for the design of digital Learning Resources (LRs) that would support blended learning in both academia and industry. The research question is: how can we design learning resources, specifically multimedia based ones, to guarantee their effective use in two different and identified contexts? In this paper, we give some background information on the research and we describe the analysis we carried out in order to characterize the two populations of learners in academia and industry, namely students and employees. Then we relate these observations to three theoretical frameworks: adult education, multimedia learning and situated cognition.
SOME PRACTICAL APPLICATIONS OF GENERATING FUNCTIONS AND LSTS

In many various practical problems we often deal with computing distribution functions of sums of independent non-negative random variables. In applied mathematics (ex. queueing theory) we can find many formulas with Stieltjes convolutions of distribution functions of random variables of the same type. Finding convolutions on the base of definition is not easy and convenient, because there are some technical problems connected with computations. There are some interesting ways to obtain such distribution functions applying other methods. In this paper we present methods connected with applications of generating functions and Laplace-Stieltjes transforms.
TOLERANCE OF CABBAGE CROP TO AUXIN HERBICIDES Tolerância do Repolho aos

- The presence of weeds in cabbage cultivation areas causes a reduction in the productivity and quality of the commercial product. Given the difficulties in management and the scarcity of registered products for weed control in cabbage cultivation, this study aimed to evaluate the tolerance of the cabbage cultivars Astrus Plus to the herbicides 2,4-D and dicamba. Two experiments were performed; one under controlled conditions and another conducted in the field. The efficacy of the herbicides on the initial growth of the crop was evaluated in the first experiment, measuring the dry matter of the aerial part, the root of the plant, and evaluating the intoxication of the plants. Plant poisoning was also evaluated in the second experiment, along with crop production. No changes in the dry matter and plant poisoning were observed after the analyses performed in the controlled environment, showing that the cabbage presented tolerance to the applied herbicides. On the other hand, results from the experiments performed in the field showed that herbicide 2,4-D poisoned the cabbage causing reductions in production. Dicamba did not cause any damage in the initial phase of cultivation to this crop, with no reductions in its production. These results indicated the potential use of this herbicide in cabbage cultivation. It can be concluded from this study that the cultivar Astrus Plus is tolerant to dicamba. Under controlled conditions, 2,4-D does not cause toxicity to this cultivar, different from its effect when used in the field, where this herbicide can kill the cabbage plants.
Unversity futures in Ecuador: A postcoJonaI and Hbera anaiyss

The government of Ecuador has strongly linked educational, social and economic developrnent with a counter hegernonic position against neo-liberal tendencies and a defence of lis roots and cultural patrimony. This article analyses university future in Ecuador under the Post-colonial model as possible and probable future, and proposes Uberal Education as an alternative, preferable future. There is also an analysis of how Ecuadorian Governrnent takes knowledge and education as a basis for economic and social development and proposes the alternative Liberal Education approach to counterbaiance sorne post colonial concerns mainly related with globalization.
Adaptive Distributed Kalman Filtering with Wind Estimation for Astronomical Adaptive Optics

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. Adaptive Distributed Kalman Filtering with Wind Estimation for Astronomical Adaptive Optics Paolo Massioni, Luc Gilles, Brent Ellerbroek
J. Gen. Appl. Microbiol., 44, 283–288 (1998)

of Pseudomonas aeruginosa and Escherichia coli coupled with ultrasound (Hedges et al., 1980; Komrakov and Antipov, 1990; Kondo et al., 1989; Scherba et al., 1991; Williams, 1983) enhances the bactericidal activity of the antibiotic against planktonic and sessile bacteria (Pitt et al., 1994; Qian, 1996; Qian et al., 1996, 1997; Williams and Pitt, 1997). The present research has extended this type of treatment to other antibiotics and to other species of bacteria. Its purpose was to conduct a screening study in which a variety of representative Gram-positive and Gram-negative organisms were studied. The antibiotics selected for this study represent several different agents effective against the organisms selected. Specifically, we will report the ultrasonic enhancement of gentamicin, kanamycin, streptomycin, tetracycline, and ampicillin on Enterobacter aerogenes, Serratia marcescens, Salmonella derby, Streptococcus mitis, and Staphylococcus epidermidis. In this screening study, not all antibiotics were tested with each organism.
A Multilabel Classification Framework for Approximate Nearest Neighbor Search

Both supervised and unsupervised machine learning algorithms have been used to learn partition-based index structures for approximate nearest neighbor (ANN) search. Existing supervised algorithms formulate the learning task as finding a partition in which the nearest neighbors of a training set point belong to the same partition element as the point itself, so that the nearest neighbor candidates can be retrieved by naive lookup or backtracking search. We formulate candidate set selection in ANN search directly as a multilabel classification problem where the labels correspond to the nearest neighbors of the query point, and interpret the partitions as partitioning classifiers for solving this task. Empirical results suggest that the natural classifier based on this interpretation leads to strictly improved performance when combined with any unsupervised or supervised partitioning strategy. We also prove a sufficient condition for consistency of a partitioning classifier for ANN search, and illustrate the result by verifying this condition for chronological $k$-d trees.
Inertial manifolds and foliations for asymptotically compact cocycles in Banach spaces

We study asymptotically compact nonautonomous dynamical systems given by abstract cocycles in Banach spaces. Our main assumptions are given by a squeezing property in a quadratic cone ﬁeld (given by a family of indeﬁnite quadratic Lyapunov-like functionals) and asymptotic compactness. Under such conditions it is possible to reconstruct foliations as in the theory of normally hyperbolic manifolds. Our approach allows to unify many “practical” theories of local and nonlocal invariant manifolds, such as stable/unstable/center manifolds and inertial manifolds, and, moreover, it often leads to optimal conditions for their existence. We give applications for semilinear parabolic equations and neutral delay equations, where the Frequency Theorem is used to construct constant cone ﬁelds. abstract nonuniformly hyperbolic and noncompact invariant manifolds in Banach spaces. We restrict ourselves by proving only the C 1 -diﬀerentiability of leaves, which is suﬃcient for the purposes of inertial manifolds (and usually, this is the maximum that we can achieve).
Probabilistic Systems with Hidden State and Unobservable Transitions

We consider probabilistic systems with hidden state and unobservable transitions, an extension of Hidden Markov Models (HMMs) that in particular admits unobservable {\epsilon}-transitions (also called null transitions), allowing state changes of which the observer is unaware. Due to the presence of {\epsilon}-loops this additional feature complicates the theory and requires to carefully set up the corresponding probability space and random variables. In particular we present an algorithm for determining the most probable explanation given an observation (a generalization of the Viterbi algorithm for HMMs) and a method for parameter learning that adapts the probabilities of a given model based on an observation (a generalization of the Baum-Welch algorithm). The latter algorithm guarantees that the given observation has a higher (or equal) probability after adjustment of the parameters and its correctness can be derived directly from the so-called EM algorithm.
Global Normalization for Streaming Speech Recognition in a Modular Framework

We introduce the Globally Normalized Autoregressive Transducer (GNAT) for addressing the label bias problem in streaming speech recognition. Our solution admits a tractable exact computation of the denominator for the sequence-level normalization. Through theoretical and empirical results, we demonstrate that by switching to a globally normalized model, the word error rate gap between streaming and non-streaming speech-recognition models can be greatly reduced (by more than 50\% on the Librispeech dataset). This model is developed in a modular framework which encompasses all the common neural speech recognition models. The modularity of this framework enables controlled comparison of modelling choices and creation of new models.
BURG-Toolkit: Robot Grasping Experiments in Simulation and the Real World

—This paper presents BURG-Toolkit, a set of open- source tools for Benchmarking and Understanding Robotic Grasping. Our tools allow researchers to: (1) create virtual scenes for generating training data and performing grasping in simulation; (2) recreate the scene by arranging the corre- sponding objects accurately in the physical world for real robot experiments, supporting an analysis of the sim-to-real gap; and (3) share the scenes with other researchers to foster comparability and reproducibility of experimental results. We explain how to use our tools by describing some potential use cases. We further provide proof-of-concept experimental results quantifying the sim-to-real gap for robot grasping in some example scenes. The tools are available at: https://mrudorfer.github. io/burg-toolkit/
Inference and Sampling for Archimax Copulas

Understanding multivariate dependencies in both the bulk and the tails of a distribution is an important problem for many applications, such as ensuring algorithms are robust to observations that are infrequent but have devastating effects. Archimax copulas are a family of distributions endowed with a precise representation that allows simultaneous modeling of the bulk and the tails of a distribution. Rather than separating the two as is typically done in practice, incorporating additional information from the bulk may improve inference of the tails, where observations are limited. Building on the stochastic representation of Archimax copulas, we develop a non-parametric inference method and sampling algorithm. Our proposed methods, to the best of our knowledge, are the first that allow for highly flexible and scalable inference and sampling algorithms, enabling the increased use of Archimax copulas in practical settings. We experimentally compare to state-of-the-art density modeling techniques, and the results suggest that the proposed method effectively extrapolates to the tails while scaling to higher dimensional data. Our findings suggest that the proposed algorithms can be used in a variety of applications where understanding the interplay between the bulk and the tails of a distribution is necessary, such as healthcare and safety.
Optimal mechanical interactions direct multicellular network formation on elastic substrates

Significance Many animal cells actively generate mechanical forces while also sensing and responding to changes in their mechanical environment. This may drive cell–cell interactions through their mutual deformations of the surrounding elastic medium, which lead to self-organized multicellular structures. We show with modeling and experiments on endothelial cells cultured on soft substrates that cells may find and align with each other through such substrate stiffness–dependent mechanical interactions. We predict how network structural features relate to the transport functions of vascular networks and how these may be tuned by manipulating substrate mechanical properties. This understanding of multicellular network formation can guide tissue engineering applications, that require in vitro vascular network formation in order to be viable.
Impacts of Viscous Dissipation on Collisional Growth and Fragmentation of Dust Aggregates

Understanding the collisional behavior of dust aggregates consisting of submicron-sized grains is essential to unveiling how planetesimals formed in protoplanetary disks. It is known that the collisional behavior of individual dust particles strongly depends on the strength of viscous dissipation force; however, impacts of viscous dissipation on the collisional behavior of dust aggregates have not been studied in detail, especially for the cases of oblique collisions. Here we investigated the impacts of viscous dissipation on the collisional behavior of dust aggregates. We performed numerical simulations of collisions between two equal-mass dust aggregates with various collision velocities and impact parameters. We also changed the strength of viscous dissipation force systematically. We found that the threshold collision velocity for the fragmentation of dust aggregates barely depends on the strength of viscous dissipation force when we consider oblique collisions. In contrast, the size distribution of fragments changes significantly when the viscous dissipation force is considered. We obtained the empirical fitting formulae for the size distribution of fragments for the case of strong dissipation, which would be useful to study the evolution of size and spatial distributions of dust aggregates in protoplanetary disks.