Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of the optimum threshold of gamma-ray for inducing mutation on Polianthes tuberosa cv. double and analysis of genetic variation with RAPD marker

Abstract Purpose This experiment aimed to investigate the effect of gamma irradiation on morpho-physiological characteristics and molecular-induced variations in Polianthes tuberosa L. Methods Experiments were designed according to a completely randomized design with eight different gamma-ray doses (0, 20, 30, 40, 50, 60, 70, and 80 Gy) via a source of cobalt-60 with three replications. Some morpho-physiological characteristics of tuberoses were screened and evaluated at the end of the flower growth and development phases. The RAPD-PCR molecular marker technique was further used to identify the mutants of phenotypic variation flowers. Results Results indicated that the effect of different levels of γ-rays on some morphological and physiological traits was significant as the gamma-ray level was increased up to 50 Gy. The doses higher than 50 Gy were found to cause stand or no growth. The 50 Gy gamma irradiation reduced germination by 70.59%, germination rate by 66.36%, dry weight by 88.15%, fresh weight by 87.41%, flowering stem height (cm) by 69.22%, leaf area (cm2) by 57.35%, leaf number by 34.41%, chlorophyll content (mg g−1 FW) by 44.79%, number of florets by 92.57%, spike height (cm) by 27.80%, bulblet number by 32.57%, and bulblet diameter (mm) by 30.21%. On the contrary, gamma radiation at 50 Gy increased relative water content (%) and electrolyte leakage (ds m−1) by 41.27 and 237.65%, respectively. The results also showed that bulbs treated with 20 Gy gamma ray had the highest germination percentage and dry weight. The RAPD analysis indicated that among 10 primers tested, nine primers showed clear bands as the highest number of amplified fragments (90) was related to the OPM13 primer and the lowest number (40) to the OPM10 primer. However, the DNA polymorphism was dose-dependent. Conclusion Overall results showed that although the plant morphology was changed with gamma-ray level, no changes occurred in tuberose color.
Sexual dimorphism in body size and some exterior traits of pigeon breed groups

In this study, sexual dimorphism in pigeons was investigated. Rensch's rule was evaluated across pigeon breeds. Body weight, body length, beak length, wingspan, tail length, and tarsus length were used for the analysis. We have divided the breeds in the five groups (form, frills and owls, tumbler and rollers, homer and highflyer, feral). The allometric relation in the traits between female and male measures were analyzed. The measure of sexual size dimorphism was measured for each trait as a simple male size divided by female size (Sexual Size Index, SSI). On average across traits, male birds have higher values than female birds, both across breed groups and overall. No deviation from isometric allometry can be observed except the tail length. No trends towards logarithmic female values according to the SSI could be identified. According to the results, the rules of Rensch for pigeon breeds are rejected. Sexual dimorphism exists between breeds and traits, mainly in favor of the male birds. In most cases, allometric relationships between breeds change, as do traits.
Microwave photonic channelization technology for ultra-wideband measurement control and communication

For the urgent demand of the broadband, high efficient, parallel processing and anti-jamming capability in the field of ultra-wideband measurement control and communication. This paper puts forward a kind of channelized receive technology based on microwave photonic technology. The coherent optical comb generation module generates the signal optical comb and the local oscillator optical comb. The coherent optical comb with high repetition frequency is obtained by using cascade modulator and nonlinear technique. In order to satisfy the 10 comb tooth designed for the system, the FSR of coherent optical frequency comb is greater than 100GHz and 99.4GHz respectively, and the channel bandwidth is 600MHz. The channel division module receives the broadband RF signal from the RF front-end and modulates it to the optical frequency comb. By DPMZM single sideband modulation, 10 optical combs can be used to shift the frequency of the oscillator frequency comb. At the same time, according to the position of the 6GHz signal, the frequency comb is accurate controlled. After the WDM multiplexing device, it is selected by the high-speed optical switch controlled by the control unit. The photoelectric detection and mirror frequency suppression are realized by coherent demodulation, which consists of an optical mixer, a balance detector and a bridge. Which realizes channelized reception and cross-frequency conversion of any 6GHz wideband signal from the DC to 40 GHz band. Achieve 3dB channel consistency and mirror frequency suppression above 30dB. The results are verified by simulation and experiment. This method can also be extended to receive ultra-high speed frequency hopping signals. Which can provides technical support for ultra-wideband measurement control and communication, integrated RF front-end and electromagnetic space integration system.
Modelling the swarm: Analysing biological and engineered swarm systems

In this article, we discuss the current research efforts on swarm systems and on the motivation of mathematical modelling of such distributed and self-organizing systems. Obviously, a special emphasis is given to those articles which were carefully selected for the special issue at hand. These articles demonstrate how mathematical models of different kinds – bottom-up agent models and top-down model approaches – increase the understanding of natural swarm systems, for example, by investigating the efficiency in the self-regulation of social insect colonies. A second group of articles illustrates how mathematical models are used to generate and optimize artificial swarm systems as engineered in the field of swarm robotics. We discuss the common problems of such modelling efforts and highlight the importance of models as generators of hypotheses that suggest novel empiric experiments as well as the importance of empiric experimentation that results in meaningful model parameterizations. In summary, the special issue at hand, which is introduced by this article, gives a significant overview about the lines of research that are followed in the research of swarm systems today.
Particle transport in a turbulent boundary layer: Non-local closures for particle dispersion tensors accounting for particle-wall interactions

Continuum equations derived from a probability density function kinetic equation contain dispersion tensors that describe the interaction between inertial particles and the underlying turbulent flow in which they are transported. These tensors require closure treatment and recent work has shown that traditional closure approximations perform poorly when applied to the case of particle dispersion in turbulent boundary layers. The dispersion tensors are intrinsically non-local, being sensitive to both the strong inhomogeneity of wall-bounded turbulence and the influence of particle-wall collisions. A new strategy for constructing non-local closure models is presented to account for such influences. An important feature of the approach is that it utilizes exactly the same input parameters required for the traditional closures. Differences between the two approaches are therefore a reflection of the improved closure strategy, rather than a consequence of improved or additional input data. Predictions from bot.
Recovery of inter-block information when block sizes are unequal

SUMMARY A method is proposed for estimating intra-block and inter-block weights in the analysis of incomplete block designs with block sizes not necessarily equal. The method consists of maximizing the likelihood, not of all the data, but of a set of selected error contrasts. When block sizes are equal results are identical with those obtained by the method of Nelder (1968) for generally balanced designs. Although mainly concerned with incomplete block designs the paper also gives in outline an extension of the modified maximum likelihood procedure to designs with a more complicated block structure. In this paper we consider the estimation of weights to be used in the recovery of interblock information in incomplete block designs with possibly unequal block sizes. The problem can also be thought of as one of estimating constants and components of variance from data arranged in a general two-way classification when the effects of one classification are regarded as fixed and the effects of the second classification are regarded as random. Nelder (1968) described the efficient estimation of weights in generally balanced designs, in which the blocks are usually, although not always, of equal size. Lack of balance resulting from unequal block sizes is, however, common in some experimental work, for example in animal breeding experiments. The maximum likelihood procedure described by Hartley & Rao (1967) can be used but does not give the same estimates as Nelder's method in the balanced case. As will be shown, the two methods in effect use the same weighted sums of squares of residuals but assign different expectations. In the maximum likelihood approach, expectations are taken over a conditional distribution with the treatment effects fixed at their estimated values. In contrast Nelder uses unconditional expectations. The difference between the two methods is analogous to the well-known difference between two methods of estimating the variance o2 of a normal distribution, given a random sample of n values. Both methods use the same total sum of squares of deviations. But
Data Integration from Heterogeneous Control Levels for the Purposes of Analysis within Industry 4.0 Concept

Small- and medium-sized manufacturing companies must adapt their production processes more quickly. The speed with which enterprises can apply a change in the context of data integration and historicization affects their business. This article presents the possibilities of implementing the integration of control processes using modern technologies that will enable the adaptation of production lines. Integration using an object-oriented approach is suitable for complex tasks. Another approach is data integration using the entity referred to as tagging (TAG). Tagging is essential to apply for fast adaptation and modification of the production process. The advantage is identification, easier modification, and generation of data structures where basic entities include attributes, topics, personalization, locale, and APIs. This research proposes a model for integrating manufacturing enterprise data from heterogeneous levels of management. As a result, the model and the design procedure for data integrating production lines can efficiently adapt production changes.
Instabilities in Lagrangian tracking of bubbles and particles in two‐phase flow

One way to model and simulate the dispersed phase in a two-phase flow is to track the discrete elements through a fluctuating fluid field by solving their equations of motion. This approach is called Lagrangian. In this frame, it has been shown previously that widely used discretization methods for integrating the particle equation of motion in bubbly flows may lead to artificial instabilities and, eventually, yield spurious oscillations and chaotic behavior by period-doubling bifurcations. This study extends these previous investigations to consider dispersed two-phase flow laden with solid particles, which can be heavier or lighter than the fluid in which they are immersed. The main result is that the numerical techniques applied to integrate the particle or bubble equation of motion are stable in the case of heavy particles but must be used very carefully when applied to bubbles or light solid particles in a fluid. During the analysis process, criteria have been established for choosing optimal time steps to simultaneously avoid numerical instabilities and guarantee code efficiency. © 2005 American Institute of Chemical Engineers AIChE J, 2006
iORbase: A database for the prediction of the structures and functions of insect olfactory receptors

Insect olfactory receptors (iORs) with atypical 7‐transmembrane domains, unlike Chordata olfactory receptors, are not in the GPCR protein family. iORs selectively bind to volatile ligands in the environment and affect essential insect behaviors. In this study, we constructed a new platform (iORbase, https://www.iorbase.com) for the structural and functional analysis of iORs based on a combined algorithm for gene annotation and protein structure prediction. Moreover, it provides the option to calculate the binding affinities and binding residues between iORs and pheromone molecules by virtual screening of docking. Furthermore, iORbase supports the automatic structural and functional prediction of user‐submitted iORs or pheromones. iORbase contains the well‐analyzed results of approximately 6 000 iORs and their 3D protein structures identified from 59 insect species and 2 077 insect pheromones from the literature, as well as approximately 12 million pairs of simulated interactions between functional iORs and pheromones. We also built 4 online modules, iORPDB, iInteraction, iModelTM, and iOdorTool to easily retrieve and visualize the 3D structures and interactions. iORbase can help greatly improve the experimental efficiency and success rate, identify new insecticide targets, or develop electronic nose technology. This study will shed light on the olfactory recognition mechanism and evolutionary characteristics from the perspectives of omics and macroevolution.
Using physiological signals to measure the Quality-of-Experience of Health Care Professionals when interacting with a clinical guideline mobile app

Digital content adaptation and personalisation is a crucial component in increasing user engagement, and becoming of interest to designers/developers in areas related to clinical information delivery. In order to achieve this, new data-intensive methods are required that go beyond traditional user-centred design approaches. In this position paper, we discuss how although user-centred design has shown to be useful for generating generalised design guidelines (predominantly driven by qualitative data collection techniques), more quantitative methods and the use of measures such as Quality of Experience, could not only augment standard user research methods but also provide data to inform the adaption and personalisation of interfaces. In this paper we propose a solution-by-design to gather personal preferences through users’ physiological data (using pupillometry) and how it would be useful for applications such as mobile apps for clinical guidelines, where access to in-situ data collection is increasingly more challenging.
Development of chemometrics method based on infrared spectroscopy for the determination of cement composition and process optimization

: In combination with a multivariate calibration method, FTIR-ATR spectroscopy was presented as a rapid method for the determination of some major oxides (CaO, SiO 2 , Al 2 O 3 , Fe 2 O 3 ) and minor oxides (MgO, SO 4 , Na 2 O, and K 2 O) in diverse materials (raw material, raw meal, additives, clinker, and types of cement) in cement manufacturing. The FTIR spectroscopy based multivariate models were generated by taking X-ray fluorescence (XRF) as a reference method. Among a number of spectral preprocessing methods, extended multiplicative scatter correction (EMSC) yielded the best PLS models. The standard error of prediction (SEP) for the optimal FTIR based PLS models ranged from 0.10 to 2.07 (w/w%), and the regression coefficient (R 2 ) ranged from 0.95 to 0.99 for PLS predicted vs XRF reference plots. Statistical evaluation of the both methods was carried out by paired t-test at the 95% confidence level and the results showed that the FTIR-ATR combined with PLS model results are consistent with the XRF reference measurements for all the oxides studied. Compared to the XRF method, which can take anywhere from a few minutes to an hour for each measurement, the proposed method is faster, cheaper, and safer. The presented technology also allows rapid monitoring of a cement factory production line.
Adaptive algorithms in the space and time domains

The basic similarities and essential differences between adaptive processing structures in the space and time domains are considered. Attention is focused on the fact that a cascade structure is required to decorrelate the signals received from different elements of an antenna array, while a very different and more efficient lattice filter structure may be used to decorrelate successive samples of a time series. The difference is explained by examining the Levinson-Durbin recursion algorithm, which essentially gives rise to the lattice filter structure. The algorithm is presented in a generalised form which takes into account the effect of non-stationary statistics and shows clearly how the use of recursion in time is fundamentally responsible for its efficiency. The algorithm is clearly not appropriate for antenna array decorrelation or in the spatial domain generally.
Separated Fractal Antennas For Improved Emission Performance Of Terahertz Radiations

Abstract We investigate the emission of terahertz (THz) radiation from two kinds of recently reported fractal photoconductive antennas by the method of separating antennas from transmission lines. A model for analyzing the separation design is presented. From the numerical simulations, the radiation power and center frequency of Sierpinski fractal photoconductive antenna are increased by ∼ 120% and ∼ 25%, respectively. Meanwhile, the first peak frequency emission intensity of H-fractal photoconductive antenna is increased by ∼ 70%. Because of the stronger resonant effect of the emitting antenna, this method shows high potential applications to various photoconductive antennas.
The subclass algebra associated with a finite group and subgroup

Let G be a finite group and let H be a subgroup of G. If g E G, then the set Eg = {hgh 1 Ih E H} is the subclass of G containing g and xeEgX is the subclass sum containing g. The algebra over the field of complex numbers generated by these subclass sums is called the subclass algebra (denoted by S) associated with G and H. The irreducible modules of S are demonstrated, and results about Schur algebras are used to develop formulas relating the irreducible characters of S to the irreducible characters of G and H. Introduction. Throughout this article G will denote an arbitrary finite group and H a subgroup of G. We shall call two elements, g and g' of G, H-equivalent if there exists an element h E H such that g = hg'h-1. Being H-equivalent is an equivalence relation on G and the equivalence classes under this relation are called subclasses of G. We shall denote the subclass containing the element g E G by Eg, and the subclass sum containing g is Bg = 2xEeEgx. The algebra over the complex numbers K generated by these subclass sums is called the subclass algebra, denoted by S, associated with G and H. S is a subalgebra of the group algebra KG. Subclasses were first studied by E. P. Wigner who developed formulas relating the restriction to H of the irreducible characters of G to the number of subclasses. The work done here was started in order to provide a more algebraic proof to Wigner's results: A paper by F. Roesler about Schur algebras provides an algebraic framework for working with the subclass algebra and proving Wigner's theorems. Roesler's results which are used in this paper are provided for the reader in ? 1. Let {M1 . M. } be the irreducible KG-modules with Mj affording the irreducible character xi of G and let {N1 . N4} be the irreducible KH-modules with Ni affording the irreducible character (Di of H. Suppose {e1}' 1 is a set of orthogonal primitive idempotents of KH such that Ni -KHei. Define the nonnegative integers {ci1} by Xi H = F"j= Cii,? . Then in ? 2 we prove: Received by the editors April 23, 1973. AMS(MOS)subject classifications (1970). Primary 20C05; Secondary 2OC15. (1)These results are a part of a Ph.D. thesis written under the direction of Professor R. L. Roth of the University of Colorado. Copyright i) 1975, American Mathematical Society 329 This content downloaded from 157.55. 39.78 on Mon, 20 Jun 2016 05:13:53 UTC All use subject to http://about.jstor. org/terms
Repulsion phenomena in the phase-velocity dispersion curves of circumferential waves on elastic cylindrical shells

The complex eigenfrequencies of an evacuated, fluid‐immersed infinite cylindrical shell, when plotted in the complex frequency plane, have been grouped into families corresponding to different types of circumferential waves. The real parts of these eigenfrequencies have been used to obtain dispersion curves versus frequency of the phase velocities of these circumferential waves, which are analogous to those of the Lamb waves on an elastic plate in vacuo labeled A0,A1,. and S0,S1,. , but which contain an additional branch reminiscent of the fluid‐borne Scholte–Stoneley wave. This branch forms together with the A0‐analog an interacting pair of dispersion curves which will be called A0+ (upper branch) and A0− (lower branch). These exhibit a repulsion phenomenon near the ambient fluid sound speech analogous to that in perturbed, quasi‐degenerate atomic levels. This is explained here by perturbation theory, showing that during repulsion the wave character gets exchanged so that at frequencies above the repu.
Pathogenicity and virulence of Entamoeba histolytica, the agent of amoebiasis

ABSTRACT The amoeba parasite Entamoeba histolytica is the causative agent of human amebiasis, an enteropathic disease affecting millions of people worldwide. This ancient protozoan is an elementary example of how parasites evolve with humans, e.g. taking advantage of multiple mechanisms to evade immune responses, interacting with microbiota for nutritional and protective needs, utilizing host resources for growth, division, and encystation. These skills of E. histolytica perpetuate the species and incidence of infection. However, in 10% of infected cases, the parasite turns into a pathogen; the host-parasite equilibrium is then disorganized, and the simple lifecycle based on two cell forms, trophozoites and cysts, becomes unbalanced. Trophozoites acquire a virulent phenotype which, when non-controlled, leads to intestinal invasion with the onset of amoebiasis symptoms. Virulent E. histolytica must cross mucus, epithelium, connective tissue and possibly blood. This highly mobile parasite faces various stresses and a powerful host immune response, with oxidative stress being a challenge for its survival. New emerging research avenues and omics technologies target gene regulation to determine human or parasitic factors activated upon infection, their role in virulence activation, and in pathogenesis; this research bears in mind that E. histolytica is a resident of the complex intestinal ecosystem. The goal is to eradicate amoebiasis from the planet, but the parasitic life of E. histolytica is ancient and complex and will likely continue to evolve with humans. Advances in these topics are summarized here.
A direct method for the determination of learning curve parameters from historical data

SUMMARY A direct method for estimating the parameters of the learning curve time constant model from historical data is presented. Compared with present methods, an assumption on asymptotic performance is unnecessary, and it is much simpler to implement than least error squares curve fitting. An example shows that these advantages are obtained without serious penalties in accuracy The method uses the experimental data to estimate the impulse response of the model. By expanding the model transfer function as an infinite series, the model parameters are obtained by summing the zero and first time moments of the impulse response, thus requiring simple multiplication and no iteration.