Miracle-dz/UniFAR-FTUs huggingface dataset:
HEAT TRANSFER ANALYSIS FROM ROTATING POROUS PLATE WITH TEMPERATURE-DEPENDENT THERMAL CONDUCTIVITY

In the present study, an analytical solution for the nonlinear energy equation due to temperature-dependent thermal conductivity is presented. The effects of variable thermal conductivity and other parameters on heat transfer are investigated for a hydromagnetic flow of an incompressible viscous electrically conducting fluid past a rotating porous plate. The plate rotates with a uniform angular velocity about an axis normal to the plate and the fluid at infinity rotates with the same angular velocity about a non-coincident parallel axis. The governing equations are solved analytically using the variational iteration method (VIM), and numerically using the Richardson extrapolation method. The temperature distribution and heat transfer of various suction parameters, Brinkman numbers, magnetic parameters and Prandtl numbers are presented. It is demonstrated that for large values of Brinkman number and magnetic parameter, a significant amount of heat is generated near the plate.
Evaluation of Neurocinema as An Introduction to an Interdisciplinary Science

Neurocinema is considered as one of the emerging interdisciplinary sciences and relies on neuroscience discoveries to explore various aspects of the movie effect on the viewer’s brain. The mentioned science not only investigates this effect but also seeks to answer how a good movie takes control of the neural pathways. Another part of neurocinema investigates movies that their content includes patients’ neurological and also psychiatric problems. As cinema is heavily influenced by technology, the quality of cinema and whatever it deals with, will vary to respond in advancements of technology. Considering that neurocinema will face a new world in line with these changes, the various aspects effect of this new world on the human brain should be thoroughly considered.
SANS and SLS Studies on Tetra-Arm PEG Gels in As-Prepared and Swollen States

A series of model networks consisting of polyethylene glycol (PEG), tetra-PEG gels, have been prepared and their structure and dynamics have been investigated by small-angle neutron scattering (SANS) and static light scattering (SLS). The Tetra-PEG gels were prepared by cross-end coupling of two types of tetra-arm PEG macromers with molecular weights, Mw, of (5 to 40) × 103 g/mol. In the SANS regime, the structure factors of both as-prepared and swollen gels can be represented by Ornstein−Zernike-type scattering functions and superimposed to single master curves with the reduced variables, ξq and I(q)/ϕ0ξ2, irrespective of the molecular weight of tetra-PEG, where q, ξ, I(q), and ϕ0 are the magnitude of the scattering vector, the correlation length, the scattering intensity, and the polymer volume fraction at preparation, respectively. In the SLS regime, however, a power-law-type upturn was observed, indicating the presence of PEG chain clusters. Interestingly, these inhomogeneities disappear by swelling.
Spatial-Spectral Classification of Hyperspectral Images Based on Extended Morphological Profiles and Guided Filter

Previous studies show that the incorporation of spatial features in the classification process of hyperspectral images (HSI) improves classification accuracy. Although different spatial-spectral methods are proposed in the literature for the classification of the HSI, they almost have a slow, complex, and parameter-dependent structure. This paper proposes, a simple, fast and efficient two-stage spatial-spectral method for the classification of the HSI based on extended morphological profiles (EMP) and the guided filter. The proposed method consists of four major stages. In the first stage, principal component analysis (PCA) is used to smooth the HSI to extract the low-dimensional informative features. In the second stage, EMP is produced from the first three PCs. Stacked feature vectors, consisting of PCs and EMP, are classified via support vector machines (SVM) in the third step. Finally, a post-processing stage based on a guided filter is applied to classified maps to further improve the classification accuracy and to refine the noisy classified pixels. Experimental results on two famous hyperspectral images named Indian Pines and Pavia University in a very small training sample size situation show that the proposed method can reach the high level of accuracies which are superior to some recent state-of-the-art methods.
Dynamics and Energetics of Droplet Aggregation in Percolating AOT Water-in-Oil Microemulsions

This work reports on the dynamics of L2-microemulsions stabilized by Aerosol OT. Time-resolved luminescence quenching measurements using the probe Tb(pda)33- show the existence of clusters in water-in-oil (w/o) microemulsions. The fast exchange appearing over several microeseconds is attributed to intracluster quenching, whereas the slow exchange on the millisecond time scale corresponds to intercluster exchange. The fast exchange is decelerated when the temperature is increased and is related to a temperature-induced cluster growth. The slow exchange, conversely, is strongly accelerated within the one-phase region. Below the percolation threshold, the corresponding rate constant obeys an Arrhenius relation. The activation energies increase with the droplet size. In the percolation domain, strong deviations from linearity in the Arrhenius plots occur, which are interpreted by a kinetic scheme considering the limited quenching reaction rate and aggregate collisions disturbing the exchange transition state.
Interaction of Arbuscular Mycorrhizal Fungi and Trichoderma on Growth of Root System and on Yield of Industrial Hemp (Cannabis sativa var. ‘Uso’)

Cannabis sativa is an annual herbaceous plant, known worldwide for thousands of years. The propose of this study was to evaluate the effect co-inoculation of Trichoderma harzianum and arbuscular mycorrhizal fungi (AMF) on growth of root system and yield in plants of industrial cannabis variety ‘Uso’. A greenhouse experiment took place in the Laboratory of Agronomy at Agricultural University of Athens. The experiment was designed according to Randomized block design with 2 treatments AMF & Trichoderma (AMF&TRCH) application and Trichoderma without AMF application (TRCH) and 3 replications. Trichoderma species have the ability to colonize the rhizosphere of plants, thereby improving the development of the root system. Arbuscular mycorrhizal fungi can form symbiotic relationships with most plants, including species of great economic interest such as industrial hemp. The combined use of Trichoderma harzianum and AMF provoked a synergistic effect increasing the root mass density, bud length and CBD yield per plant. During AMF&TRCH treatment the number of buds, bud dry matter and yield were higher than the TRCH treatment, on the contrary AMF colonization and root volume decreased. In conclusion the supply of AMF&Trichoderma had positive effect on AMF percentage, root and agronomic characteristics.
Assessment of Somaclonal Variation in Regenerated Plants from Immature Embryos Culture of Durum Wheat

Somaclones, regenerated from three durum wheat cultivars Karim, Sebou and Isly, were evaluated for various agronomic and morphological characters. Calli were initiated from immature embryos on modified Murashige and Skoog medium containing 2 mg L -1 of 2, 4-D and regenerated on media supplemented with BAP (10 μM) and NAA (5 μM). Calli with shoot were transferred to a hormone-free half-strength MS medium. The seedlings with well-developed roots were transplanted into pots containing a substrate and were acclimatized. After acclimation, plantlets were transplanted to field conditions. Most of the regenerated plants were phenotypically normal. However, some plantlets were albino, with deformed leaf or with abnormalities in spike morphology. Variation was recorded in the R1 generation. Comparison were made between the somaclones and their parents (non-tissue-cultured plants) for plant height, days to heading, 100-grain weight, grain number per spike and number of fertile tillers per plant. Comparison for agronomic and morphological characters between the parents and somaclones and among the somaclones revealed significant differences. However, the parents showed superiority over somaclones for important agronomic traits. © 2012 Friends Science Publishers
Development of a measurement system for noise and vibration of combine harvester

Combine harvesters are important in that grain and legumes directly affect the production economy. On the other hand, it forms an important branch of the agricultural machinery sector. There are many unknown constraints on machines when harvesting with a combine harvester, including the noise and vibration that occur in the combine harvester thresher. This study aims to analyze noise and vibration in conventional combine harvesters using sensors. Two accelerometers were installed on each side of the concave and two microphones were used to register the noise of the threshing process. The result showed that effects of machine speeds (3.5 km/h, 4.5 km/h and 5.5 km/h) and rotor speeds (950 r/min, 850 r/min and 950 r/min) were significantly important for the mean range values of the left and right accelerometer in the X, Y and Z direction. The machine’s speed and rotor speed were not significantly important for the mean range values of the left and right microphones. Keywords: measurement, combine harvester, sensors, noise, vibration DOI: 10.25165/j.ijabe. 20201306.5554 Citation: Yilmaz D, Gokduman M E. Development of a measurement system for noise and vibration of combine harvester. Int J Agric & Biol Eng, 2020; 13(6): 104–108.
Effect of Drying Conditions on the Texture and Taste Characteristics of Rough Rice

The effects of drying conditions, viz. drying temperature, surface velocity, and initial moisture content, on the quality characteristics of cooked rice, including both texture and taste attributes, were investigated. A response surface methodology was employed to analyze the effects of drying conditions on the cooked rice quality and to optimize the drying parameters. The results show that moisture content is the most important positive factor, followed by drying temperature with a negative effect, and surface velocity is the least important, with a negative effect on taste. The drying conditions exert the significant effects on the texture and taste attributes of cooked rice. Drying temperature has a positive effect on the cohesiveness value of cooked rice and negative effects on the partial quality attributes, including hardness, gumminess, chewiness, stickiness, color, and flavor. The increase of surface velocity may cause an increase in cohesiveness and color and a decline in hardness, gumminess, smell, palatability, and flavor. Higher moisture content of rough rice contributes to improved color and palatability attributes and reduce the hardness and gumminess indexes. The overall taste value of cooked rice for the dried rough rice has a positive correlation with the hardness, gumminess, and stickiness (p < 0.05). Results suggested that the highest taste value for the rough rice was obtained under optimal conditions of drying temperature of 35.13°C and surface velocity of 0.41 m/s for rough rice with an initial moisture content of 19.69%. The result was verified by validation experiments.
Green Synthesis of Magnetite Nanoparticles using MyrtuscommunisL. Grown in Egypt

Here in, we report, a simple, rapid, and ecofriendly green method was introduced to synthesize magnetite nanoparticles (Fe3O4-NPs) successfully. On treatment of aqueous solutions of ferrous and ferric salts in alkaline medium including MyrtuscommunisL. (MCL) leaf extract with large surface areas ranging from 127 to 318 m 2 g−1, the rapid formation of stable magnetite nanoparticles (Fe3O4-NPs) is observed to occur. MyrtuscommunisL. Leaves (MCL) extract was used as a reducing and stabilizing agent. It was found that the presence of various biomolecules such as flavonoids and terpenoids of the aqueous leaf extract plays a major role for the formation of Fe3O4-NPs through infrared spectra analysis. X-Ray Diffraction (XRD) and Energy dispersed spectroscopy (EDS) analysis revealed the purity of synthesized Fe3O4-NPs with crystalline cubic structure phase. Transmission Electron Microscopy (TEM) results illustrated that the size and diameter was in the range from 10 12 nm which agrees with calculated Scherrer equation with average diameter of around 9 nm. Vibrating Sample Magnetometer (VSM) analysis indicated that the samples exhibit super paramagnetic with magnetization value was in the range from 58-72emu/g.
EVIDENCE-BASED PRACTICES THAT DEAL WITH WORK-FAMILY CONFLICT AND ENRICHMENT: SYSTEMATIC LITERATURE REVIEW

Work and family are the most important aspects in everyday life that interact with each other simultaneously. The interaction between work and family may cause both negative and positive outcomes that is why scientists and practitioners are seeking to understand how to control them. The purpose of this article was to review existing literature on work-family conflict and enrichment interventions. We conducted a systematic literature review to investigate the evidence-based practises that dealt with reduction of work-family conflict and increase in work-family enrichment. After the screening, 12 articles from 699 unique studies were selected for the in-depth analysis. 11 out of 12 represented interventions confirmed significant positive results about the reduction of work-family conflict or increase in work-family enrichment. It is not surprising that organizations quite often choose training/workshop as the most suitable intervention. Similarly, only one scientific article presented the intervention that used real organizational change to reduce work-family conflict. Additionally, only one intervention was oriented towards the positive side of work family interaction – increase in work-family enrichment. Finally, practical implications and future research directions are proposed in the discussion.
Confidential manuscript submitted to Journal of Geophysical Research: Solid Earth

30 Understanding and predicting fracture propagation and subsequent fluid flow characteristics 31 is critical to geoenergy technologies that engineer and/or utilise favourable geological 32 conditions to store or extract fluids from the subsurface. Fracture permeability decreases non33 linearly with increasing normal stress, but the relationship between shear displacement and 34 fracture permeability is less well understood. We utilise the new Geo-Reservoir 35 Experimental Analogue Technology (GREAT cell), which can apply polyaxial stress states 36 and realistic reservoir temperatures and pressures to cylindrical samples, and has the unique 37 capability to alter both the magnitude and orientation of the radial stress field by increments 38 of 11.25° during an experiment. We load synthetic analogue materials and real rock samples 39 to stress conditions representative of 500 1000 m depth, investigate the hydraulic 40 stimulation process, and then conduct flow experiments whilst changing the fluid pressure 41 and the orientation of the intermediate and minimum principal stresses. High-resolution 42 circumferential strain measurements combined with fluid pressure data indicate fracture 43 propagation can be both stable (no fluid pressure drop) and unstable (fluid pressure drop). 44 The induced fractures exhibit both opening and shear displacements during their creation 45 and/or during fluid flow with changing radial stress states. Flow tests during radial stress field 46 rotation reveal that fracture normal effective stress has first order control on fracture 47 permeability but increasing fracture offset can lead to elevated permeabilities at maximum 48 shear stress. The results have implications for our conceptual understanding of fracture 49 propagation as well as fluid flow and deformation around fractures. 50
Implicit numerical methods for the BGK equation

In this work a new class of numerical methods for the BGK model of kinetic equations is introduced. The schemes proposed are implicit with respect to the distribution function, while the macroscopic moments are evolved explicitly. In this fashion, the stability condition on the time step coincides with a macroscopic CFL, evaluated using estimated values for the macroscopic velocity and sound speed. Thus the stability restriction does not depend on the relaxation time and it does not depend on the microscopic velocity of energetic particles. With the technique proposed here, the updating of the distribution function requires the solution of a linear system of equations, even though the BGK model is highly non linear. Thus the proposed schemes are particularly effective for high or moderate Mach numbers, where the macroscopic CFL condition is comparable to accuracy requirements. We show results for schemes of order 1 and 2, and the generalization to higher order is sketched.
Environmental factors driving phytoplankton biomass and diversity in a tropical reservoir

We determined the spatial and temporal variation of phytoplankton biomass and diversity in 10 fortnightly sampling journeys verifying five sampling sites in El Peñol-Guatapé reservoir located in Antioquia, Colombia. In situ and ex situ physical and chemical variables were measured and phytoplankton samples were taken. Richness was dominated by Chlorophyta and biomass by Dinophyta. This variable was higher in the transition zone while in the riverine zone it showed average values, the lowest were registered in the lacustrine zone. Diversity was lower in the riverine zone, but it increased considerably in the transition zone and in the lacustrine zone where it showed similar values. At the vertical scale, biomass and diversity did not vary widely. Biomass showed a differential response to the effect of precipitation changes and water levels in the reservoir zones. Due to the low variability in environmental conditions, diversity was homogeneous time-wise. These results suggest that factors related to the hydrodynamic such as precipitation and water level resulting from the dam operation and inflow have a slight influence on the temporal variations of phytoplankton biomass and structure. There was a direct relationship between these attributes and physical variables such as turbidity and nutrients concentration at spatial scale while at the vertical scale, mixing patterns and the influence of the wind explained the absence of the vertical gradient of biomass and phytoplankton structure.
IDEOLOGICAL REPRESENTATIONS IN POLITICIAN AND PUBLIC COMMENTARIES ON DKI JAKARTA REGIONAL ELECTION: JUDGING FROM THE VOCABULARY USAGE

The multitude of news related to the Jakarta Regional Election caused many people to respond, not only politicians but also society. This study aims to describe the ideology behind the statements and comments of politicians and the public about the 2017 DKI Jakarta Regional Election political news from the use of vocabulary. This study uses a qualitative-descriptive approach and content analysis method based on Norman Fairclough's critical discourse analysis theory. The results showed that (1) three ideological representations, namely religionism, secularism, and neutrality found in politicians' statements about the DKI Regional Election in the online mass media, and (2) four ideological representations, namely religionism, secularism, liberalism, and neutrality found in public comments about the political discourse of the DKI Regional Election on social media. However, based on the dominance of its use, it can be concluded that the political discourse battle for the 2017 DKI Jakarta Regional Election is motivated by two ideologies, namely secularism and religionism, both in politicians' statements and public comments. Religious ideology is represented through the vocabulary that raises issues of faith, sharia, and morals; and linking it in choosing government leaders. On the other hand, Secular ideology is represented through vocabulary related to the ideal government leader, such as honest, intelligent, creative, etc. and does not link it to the religious factor he adheres.
Morphological and ecological peculiarities of checker tree mountain ash (Torminalis glaberrima) plants and biochemical composition of its fruits

Vinnytsia National Agrarian University, Solnyschnaya st., 3, Vinnytsia, 21008, Ukraine. Tel. : +38-043-226-51-10. E-mail: pasha425@vsau.vin. ua Моskаlеts, Т. Z. , Vоvkоhоn, А. H. , Bаrаt, Y. М. , Knyazyuk, О. V. , & Verheles, P. N. (2020). Morphological and ecological peculiarities of checker tree mountain ash (Torminalis glaberrima) plants and biochemical composition of its fruits. Regulatory Mechanisms in Biosystems, 11(3), 405–413. doi:10.15421/022062
SMART SECURITY SYSTEM FOR TWO-WHEELERS

DOI Number: https://doi.org/10.30780/specialissue-ICACCG2020/019 pg. 81 Paper Id: IJTRS-ICACCG2020-019 @2017, IJTRS All Right Reserved, www.ijtrs. com SMART SECURITY SYSTEM FOR TWOWHEELERS Niyati Rana, Pravesh Khatta, Antim Dev Mishra E-Mail Id: niyatirana.btech17@ansaluniversity.edu. in, praveshkhatta.btech17@ansaluniversity.edu. in, antimdevmishra@ansaluniversity.edu. in School of Engineering and Technology, Sushant University, Gurugram, Haryana, India
Learning Vehicle Routing Problems using Policy Optimisation

Deep reinforcement learning (DRL) has been used to learn effective heuristics for solving complex combinatorial optimisation problem via policy networks and have demonstrated promising performance. Existing works have focused on solving (vehicle) routing problems as they have a nice balance between non-triviality and difficulty. State-of-the-art approaches learn a policy using reinforcement learning, and the learnt policy acts as a pseudo solver. These approaches have demonstrated good performance in some cases, but given the large search space typical combinatorial/routing problem, they can converge too quickly to poor policy. To prevent this, in this paper, we propose an approach name entropy regularised reinforcement learning (ERRL) that supports exploration by providing more stochastic policies, which tends to improve optimisation. Empirically, the low variance ERRL offers RL training fast and stable. We also introduce a combination of local search operators during test time, which significantly improves solution and complement ERRL. We qualitatively demonstrate that for vehicle routing problems, a policy with higher entropy can make the optimisation landscape smooth which makes it easier to optimise. The quantitative evaluation shows that the performance of the model is comparable with the state-of-the-art variants. In our evaluation, we experimentally illustrate that the model produces state-of-the-art performance on variants of Vehicle Routing problems such as Capacitated Vehicle Routing Problem (CVRP), Multiple Routing with Fixed Fleet Problems (MRPFF) and Travelling Salesman problem.
K-Means Kernel Classifier

We combine K-means clustering with the least-squares kernel classification method. K-means clustering is used to extract a set of representative vectors for each class. The least-squares kernel method uses these representative vectors as a training set for the classification task. We show that this combination of unsupervised and supervised learning algorithms performs very well, and we illustrate this approach using the MNIST dataset