Miracle-dz/UniFAR-FTUs huggingface dataset:
In vitro seed germination of Trigonella foenum-graecum L. A marvelous herb

A Study was conducted to access the in vitro germination and subsequent morphogenetic potential of seed of Trigonella foenum-graecum L. A Marvelous herb. Murashige and skoog’s (MS) medium used throughout the series of experiment. Seeds were inoculated on MS medium or basal medium in different concentration of Phytohormone BA, Gibberellic acid (GA3). In Trigonella result obtain on both hormone. But high percentage of result obtain on 10mg/l BA than GA3. Green callus is also found in 5mg/l BA. Elongation of shoot was also found in both hormone.
Efficacy of build direction of 3D printed full coverage provisional restoration on the fracture resistance after aging

Aim: To compare the efficiency of oblique and horizontal build orientations on the fracture resistance of full coverage provisional restoration fabricated by 3d printer. Materials and Methods: Typedont die of maxillary first molar was prepared for full coverage crowns. After tooth preparation, typodont was duplicated into thirty-two epoxy dies using a silicon base. Then randomly divided into two equal groups. Dies were scanned by an extraoral scanner digitally. Then software was used for the restoration design. Thirty-two crowns, divided into two groups and each group included 16 crowns, were put on a platform in the 3D printer software and rotated according to each build direction, 120° and 180° directions. The post cured is a LED light design for post-curing. Using A cementation loading device to cement all provisional crowns on their corresponding resin dies. Then, both groups were divided into three sub-groups, six samples nonaged, five samples were subjected to thermal cycle (1250 cycles, 5-55 ˚C), and five samples mechanical cycles (37,000 cycles, 50N). A USB digital microscope was used to assess the surface topography for samples in both groups. The samples were loaded to failure in newton (N) using a universal testing machine. To assess the failure mode pattern, fractured samples were examined using a digital microscope with a magnification of 35x. Result: Oblique group recorded statistically significant (p=0.044 < 0.05) higher mean value; (2122.16 N) than horizontal group subgroup; (1820.18 N) for non-aged groups. Regarding the effect of building direction on fracture load (oblique > horizontal), Regarding the effect of aging, non-aged > thermally aged > thermo-mechanical aged). The difference between groups regarding failure mode analysis was statistically non-significant. Conclusion: Oblique printed specimens have greater fracture resistance after aging than horizontally printed specimens. For 3D printing, an orientation of 120° is better.
Radiative Capture Processes in Multi-Size-Scale Algebraic Version of Resonating Group Model

Novel microscopic approach based on so-called multi-size-scale algebraic version of the resonating group model to describing radiative capture reactions is developed. The main idea of the approach is to expand nuclear system wave functions of discrete spectrum and continuum over basis wave functions of the algebraic version of the resonating group model with different values of oscillator radius. It allows to calculate astrophysical S-factor or cross section for radiative capture reaction and at the same time to reproduce exactly the experimental values for breakup thresholds of the final nucleus states into two fragments -colliding nuclei, as well as to obtain corresponding scattering phase shifts fitting existing experimental data. The approach is applied to description of the important mirror3H(α, γ)7Li and3He(α, γ)7Be reactions to demonstrate its possibilities. Calculated results are in good agreement with experimental data.
Response of olive seedlings for treatment with licorice and yeast extract

This search was conducted in the lath of the Department of Horticulture and landscape – College of Agriculture / Kerbala University for the summer season 2016 on olive seedlings Khadairytype (high Syrian oil type) to see the effect of treatment with licorice and yeast extracts in the growth and development of olive seedlings ; 27 olive seedlings with one year old planted in mixed in 5-kg perforated polyethylene bags were divided into three groups of three replicates and treated with three levels of licorice and yeast extracts (0, 4 and 8) g.L-1. A 3 × 3 experiment was carried out with (R.C.B.D). The results of the statistical analysis showed that the treatment with licorice was 8 g. L-1 was significant in both the number of leaves , respectively, while the treatment of licorice was 4 g. L -1 in the height of the plant by giving the highest rate, while the treatment of licorice (comparison) was 0 g. L-1 and the rest of the treatments in both stem diameter, dry and dry weight of the root mass respectively, while the yeast extract showed a concentration exceeding 4 g. L-1 on the rest of the treatments (plant height, stem diameter, wet and dry weight of total Vegetative and dry weight of the root total) sequentially. The treatment with yeast extract did not have any significant effect on the number of leaves and the area of ​​the leave. The interaction between the study coefficients also showed a significant effect on the different concentrations in all the studied traits, which in turn led to a positive effect of these treatments on the olive seedlings, which led to increased activity and stimulating growth for these seedlings throughout the research period.
Impact of Technological System’s Characteristics on the
Machining Accuracy of Bearing Rings

The article shows the influence of the technological system of an automated lathe, in particular cam chucks, on the accuracy of machining bearing rings for production conditions. The value of the deformation during machining, i.e., the non-circularity of the ring of a single row tapered roller bearing 32017X in outer diameter, was investigated. For the study, samples were selected that were processed under the same conditions directly in the production unit of PJSC “SKF Ukraine” without interference with the technological process. The use of replaceable floating cams in the chuck design was proposed to increase the accuracy and productivity of machining. Experimental studies have shown that the machined surface’s ovality depends on the chuck cams’ clamping force. The effectiveness of computer processing of statistical data on the accuracy control of engineering products was shown. Implementing machining accuracy control in production using the Minitab computer program was presented. It was proven that the quality of products is formed under the influence of the use of modern computer technologies at all stages of manufacturing and control of parts, which ensures research in a wide range of changes in technological parameters and comparison of individual studies with actual machining conditions on the machine, with the results of a sufficient level of reliability.
Dead-zone-free three-dimensional indoor positioning method based on visible light communication with dimensionality reduction algorithm

Abstract. We propose an indoor positioning system with visible light communication (VLC) technology, which employs a dimensionality reduction (DR) algorithm based on the received signal intensity, to eliminate the dead zone of positioning. Simulations are conducted for five altitude levels with dimensions of 5 m × 5 m × 4 m to verify the performance of the proposed DR algorithm. The result shows that subcentimeter accuracy in positioning can be obtained at five levels in three-dimensional space and that there exists no dead zone. Good robustness against the signal-to-noise ratio, space size, and transmission power is also verified via extensive tests.
INFLUENCE OF EMPLOYEE TRAINING ON ORGANIZATIONAL PERFORMANCE: A CASE OF KISII COUNTY GOVERNMENT , KENYA

Mr. Joash omosa, prof. Maria onyango and Dr. Arvinlucy Onditi. School of Business and Economics, Jaramogi Oginga Odinga University of Science and Technology . Manuscript Info Abstract . Manuscript History Received: 1 August 2018 Final Accepted: 3 September 2018 Published: October 2018
KHiTE: Multilingual Speech Acquisition to Monolingual Text Translation

Objectives: To develop a system that accepts cross-lingual spoken reviews consisting of two to four languages, translate to target language text for Indic languages namely Kannada, Hindi, Telugu and/or English termed as cross lingual speech identiﬁcation and text translation system. Methods: Hybridization of software engineering models are used in natural languages for pre-processing such as noise removal and speech splitting to obtain phonemes. Combinatorial models namely Hidden-Markov-Model, Artiﬁcial Neural Networks, Deep Neural Networks and Convulutional Neural Networks were deployed for direct and indirect speech mapping. Trained corpus consisting of thousand phonemes in the form of wave ﬁles for each language considered is named as KHiTEShabdanjali. The basic parameters cosidered for training dataset are pause, pitch, sampling frequency, threshold etc. Findings: The research has resulted in the development of mono-lingual and multi-lingual speech identiﬁcation, tool for processing of cross-lingual speech and language identiﬁcation, mono-lingual, bi-lingual, tri-lingual and quad-lingual speech to monolingual text translation for the four languages. It is a generic approach and can be used for other regional languages of India by training the corpus with the selected language. Novelty: Cross-lingual speech identiﬁcation and text translation system helps users in e-shopping by reducing the time incurred in making a decision to purchase a product having enough features at an economical price, e-tutoring, e-farming activities, digitizing, defence etc.
INVESTIGATION OF THE EFFECT OF A DIFFERENT TRAPEZOIDAL INCLINATION ANGLE IN A REVERSE TRAPEZOIDAL CROSS-SECTION FLOW CHANNEL ON THE PERFORMANCE OF THE PEM FUEL CELL WITH THE COMPUTATIONAL FLUID DYNAMIC (CFD) METHOD

In this work, a reverse trapezoidal cross-section channel shape for a single flow channel PEM fuel cell was examined with computational fluid dynamic (CFD) method. ANSYS Fluent was applied to solve electrochemical reactions, potential fields, mass, species, and energy transport equations. Species mass ratio, temperature distribution and relative humidity were obtained for the cell as well as the i-V and power density plots. The results were compared to two reference geometries with the commonly used square section shape for the channel. One reference geometry has the same channel width and height with the reverse trapezoidal cross-section channel while the other has the same cross-section area. The results indicate that the cell with reverse trapezoidal cross sectional flow channel shape has more than 32% higher power density than the cell with square cross-sectional flow channel shapes, but poor water management.
Odd bites into bananas don''t make you blind: learning about simplicity and attribute addition

This paper shows how a meta-learning technique can be applied to decisions about pruning and representation adequacy. It describes a meta-learning technique that uses unpruned decision trees and information from decision tree construction to describe the learning tasks. Based on previous experience, a meta-learner decides which attribute addition strategy is the more appropriate for a given new learning problem. The technique is applied to simplicity and representation issues. In the simplicity camp, it is used to decide when to prune, how much pruning is appropriate and what the best pruning technique is for a given learning task. In constructive induction, it is used to decide between a pool of alternative new attribute constructors. Results suggest that induction on the connection between problems and simplicity and representation biases improves learning performance.
A spectral decomposition for the block counting process and the fixation line of the beta(3,1)-coalescent

A spectral decomposition for the generator of the block counting process of the β (3 , 1) coalescent is provided. This decomposition is strongly related to Riordan matrices and particular Fuss–Catalan numbers. The result is applied to obtain formulas for the distribution function and the moments of the absorption time of the β (3 , 1) coalescent restricted to a sample of size n . We also provide the analog spectral decomposition for the ﬁxation line of the β (3 , 1) -coalescent. The main tools in the proofs are generating functions and Siegmund duality. Generalizations to the β ( a, 1) coalescent with parameter a ∈ (0 , ∞ ) are discussed leading to fractional differential or integral equations.
Weakly Supervised U-Net with Limited Upsampling for Sound Event Detection

Sound event detection (SED) is the task of finding the identities of sound events, as well as their onset and offset timings from audio recordings. When complete timing information is not available in the training data, but only the event identities are known, SED should be solved by weakly supervised learning. The conventional U-Net with global weighted rank pooling (GWRP) has shown a decent performance, but extensive computation is demanded. We propose a novel U-Net with limited upsampling (LUU-Net) and global threshold average pooling (GTAP) to reduce the model size, as well as the computational overhead. The expansion along the frequency axis in the U-Net decoder was minimized, so that the output map sizes were reduced by 40% at the convolutional layers and 12.5% at the fully connected layers without SED performance degradation. The experimental results on a mixed dataset of DCASE 2018 Tasks 1 and 2 showed that our limited upsampling U-Net (LUU-Net) with GTAP was about 23% faster in training and achieved 0.644 in audio tagging and 0.531 in weakly supervised SED tasks in terms of F1 scores, while U-Net with GWRP showed 0.629 and 0.492, respectively. The major contribution of the proposed LUU-Net is the reduction in the computation time with the SED performance being maintained or improved. The other proposed method, GTAP, further improved the training time reduction and provides versatility for various audio mixing conditions by adjusting a single hyperparameter.
Cyto-Embryological Analysis of Wild Kentucky Bluegrass Germplasm in Gansu Province, China

Reproduction studies, particularly embryology, represent basic information of any plant. However, the current embryological information is fragmentary for Kentucky bluegrass (Poa pratensis L.). Here, paraffin sections were used to examine the cyto-embryological characteristics, including microsporogenesis, microgametogenesis, megasporogenesis, megagametogenesis, and apomixis, of wild Kentucky bluegrass germplasm from Gannan (GN) and Longnan (LN) in Gansu Province. The study found no significant differences in pollen diameter, characteristics, viability, and stigma receptivity between the two germplasm materials. The Kentucky bluegrass consisted of three anthers, and each contained four pollen sacs that were divided into left and right halves. After meiosis, the microspore mother cells formed dyads and tetrads, which were primarily symmetrical and underwent mitosis to form three-celled pollen. Kentucky bluegrass has a one-locular ovary, two-feathery stigmas, thick nucleolar and anatropous ovules, and a typical polygonum embryo sac as its reproductive organs. The main type of apomixis observed was apospory, resulting in the coexistence of multiple embryo sacs. Polyembryonic seeds were frequently observed in Kentucky bluegrass due to apospory. Most importantly, our research found that apospory caused early embryogenesis during fertilization, which is a vital embryological feature for identifying sexual reproduction and apomixis in Kentucky bluegrass. Sexual reproduction followed strict double fertilization, while in apomixis a complete seed was only formed through pseudogamy. These embryological characteristics are documented here, and their study can aid in understanding the evolution of Kentucky bluegrass.
Estimation of dynamic models of recurrent events with censored data

In this paper we consider estimation of dynamic models of recurring events (event histories) in continuous time using censored data. We develop maximum simulated likelihood estimators where missing data are integrated out using Monte Carlo and importance sampling methods. We allow for random effects and integrate out the unobserved heterogeneity using a quadrature rule. In Monte Carlo experiments, we find that maximum simulated likelihood estimation is practically feasible and performs better than both listwise deletion and auxiliary modelling of initial conditions.
Study of Effect of Formulation Variables on Bifonazole Niosomes by Applying Plackett Burman Design

Vesicular systems are a novel drug delivery that can enhance bioavailability of encapsulated drug and provide therapeutic activity for a prolonged period of time in a controlled manner. Many factors affect niosomes formation such as millimole of surfactant and cholesterol, surfactant:cholesterol ratio, time of hydration, pH of hydration medium, tempertaure during hydration process and speed of rotation of round bottom flask. Bifonazole was selected as a model drug. It has a short half life of 1-2 hr and low permeability (BCS Class IV) which was good candidate for formation of niosomes to enhance the permeation and to prolong the action of drug. The aim of the study was to optimize the various parameters affectingniosomes formation. The statistical approach was used to optimize the parameters. The Plackett–Burman design described in this study was applied for the isolation of the significant factors to concentrate more on them. The process parameters among six factors influencing in vitro diffusion study were identified using Plackett Burman design. The vesicular sizing parameters, drug entrapment data and drug release characteristics were investigated. Among the various variables screened, millimole (mM) of surfactant and cholesterol, time of hydration, hydration temperature were found to be the most significant factors in the preparation of noisome .
On the Capacity and State Estimation Error of “Beam-Pointing” Channels: The Binary Case

Motivated by beamformed millimeter-wave (mmWave) communication, we consider the optimal tradeoff between reliable communication rate and state estimation error for a new state-dependent channel model with in-block memory referred to as the binary beam-pointing (BBP) channel. The multiantenna base station (BS) uses a finite beamforming codebook (i.e., discrete beam directions) and associates the target user to the most favorable beam, i.e., the beam directed along the strongest propagation path from BS to the user in 5G and IEEE 802.11ad mmWave communication systems. We model the target user’s Angle-of-Departure (AoD) as the state of a state-dependent channel. Since the AoD remains almost constant over several consecutive time slots, the channel has memory. In addition, we assume the BS receives implicit causal feedback (e.g., modeling a backscatter signal as in radar) and consider a joint communication and sensing (JCAS) problem where the BS is also interested in explicitly estimate the channel state (quantized AoD). We derive a closed-form solution to the capacity of the BBP channel model under the peak input cost constraint. Under the average constraint, we present an implicit capacity result, where the capacity is given as the solution of an optimization problem, and we provide an algorithm for its numerical computation. Finally, for the JCAS problem at hand, we provide the minimum distortion under the peak input constraint and show that this coincides with that obtained by the capacity-achieving strategy. This completely characterizes the capacity-distortion tradeoff for the BBP channel under peak input constraint. For the average constraint case, numerical results show that our capacity-achieving strategy yields a state estimation error very close to the theoretical minimum, showing the near-optimality of the proposed strategy for the JCAS problem under the average cost constraint.
Evaluation and Prediction Model of Intelligent Manufacturing Capability Based on Applied Mathematical Modelling

With the exponential enhancement of manufacturing effectivity and the structural transformation of the software of manufacturing elements induced by using the new spherical of scientific and technological revolution, the sample of comparative gain of manufacturing elements in the worldwide manufacturing enterprise has passed through profound changes, progressively forming a transformation from the industrial chain to the price chain, therefore promoting the transformation of manufacturing mode and aid utilization mode. Based on the applicable theories of wise manufacturing, this paper proposes an clever manufacturing functionality assessment and prediction mannequin primarily based on utilized mathematical modelling, which integrates the contrast facts of agencies into a database, establishes the corresponding time sequence relationship of the comparison data, and establishes a relationship with the corresponding organization attributes, fashions the assessment data, and combines them into a total prediction mannequin through built-in learning. By functionality of migration learning, the prediction model applicable to large statistics is migrated to small information to recognize the distinction of the equal type alternatively special entities. Input the comparison facts of the organization to be evaluated into the prediction mannequin to reap the shrewd manufacturing functionality maturity fee of the enterprise. It realizes the automated comparison of shrewd manufacturing capability, saves human cost, and improves the accuracy of evaluation. It solves the troubles that manufacturing companies have no longer deep hold close and understanding of smart manufacturing, inaccurate identification of their very personal smart manufacturing enhancement stage, and unscientific self-evaluation and diagnosis.