Miracle-dz/UniFAR-FTUs huggingface dataset:
Correlation and Path Coefficient Analysis in Bread Wheat under Drought Stress and Normal Conditions

This paper describes the association, direct and indirect effects of morphological traits under drought stress and irrigated conditions. Significant mean squares among crosses were obtained for all characters under irrigation as well as drought stress. Positive and significant correlations were observed between grain yield per plant and flag leaf area, specific flag leaf weight, tillers per plant, peduncle length, spike length, grains per spike, 1000-grain weight, grain weight of mother shoot, biomass per plant and harvest index. Negative and significant correlation was noted for days to heading and grain yield per plant. Positive direct effects were exhibited for specific flag leaf weight, days to heading, tillers per plant, spikelets per spike, grain weight of mother shoot, biomass per plant and harvest index on grain yield while maximum indirect effects were observed through grain weight of mother shoot on grain yield for flag leaf area, days to heading, peduncle length, spike length, grains per spike, 1000-grain weight, biomass per plant and harvest index under irrigated conditions. In case of drought stress conditions, grain yield was positively and significantly correlated with flag leaf area, specific flag leaf weight, plant height, peduncle length, spike length, grains per spike, 1000-grain weight, grain weight of mother shoot, biomass per plant and harvest index. Similar to irrigated conditions days to heading has also negative and significant correlation with grain yield. Positive direct effects were observed for leaf venation, flag leaf area, days to heading, plant height, spike length, grains per spike, 1000-grain weight, biomass per plant and harvest index whereas positive indirect effects through biomass per plant on grain yield for leaf venation, plant height, spike length, grains per spike, 1000-grain weight, grain weight of mother shoot were observed under drought stress conditions. It is suggested that direct selection could be made for days to heading, tillers per plant, spikelets per spike, grain weight of mother shoot, biomass per plant and harvest index for the improvement of grain yield per plant and indirect selection through grain weight of mother shoot for spike length, grains per spike 1000-grain weight under irrigated conditions. Under drought stress conditions selection could be made for leaf venation, flag leaf area, days to heading, plant height, spike length, grains per spike, 1000-grain weight, biomass per plant and harvest index and indirect selection via biomass per plant for leaf venation, plant height, spike length, grains per spike, 1000-grain weight and grain weight of mother shoot.
The quantitative genetic basis of female and male body size and their implications on the evolution of body size dimorphism in the house cricket Acheta domesticus (Gryllidae)

Few theoretical and experimental studies have analyzed the genetic basis of body size dimorphism. Since the evolutionary response to selection depends of the genetic variance in a population it is to be expected that traits under selection would have smaller genetic variance than traits not affected by selection. The evolution of sexual size dimorphism is affected by the genetic correlation between females and males, with the most dimorphic traits showing smaller genetic correlations between the sexes. As result of the differences in the intensity of sexual selection between the sexes, it is expected that the levels of genetic variance would be larger in females than males. I analyzed the genetic additive variance underlying six traits of Acheta domesticus, and the genetic correlations between females and males. The most dimorphic trait with the smallest genetic correlation between the sexes was forewing length, this trait showing genetic variance only in females. It may be that sexual selection acting on male traits has depleted the genetic variance not only in male traits but also for those female traits that have a large genetic correlation with male traits. It is also possible that the evolution of sexual dimorphism in A. domesticus could be constrained as a result of the large genetic correlation between the sexes.
Monotonicity Formula and Classification of Stable Solutions to Polyharmonic Lane–Emden Equations

In this paper, we consider polyharmonic Lane–Emden equations $$ \begin{equation*} (-\Delta )^m u=|u|^{p-1}u, \ \ \ \mbox{in} \ \ \ {\mathbb R}^n, \end{equation*}$$where $m\geq 3$. We classify the stable or stable outside a compact set solutions when $m=3$ or $4$ for any dimensions and when $m\geq 5$ for large dimensions. In the process, we exhibit the general Joseph–Lundgren exponent (including both local and nonlocal cases) in a concise form and prove related properties. The key ingredient of the proof of the classification is a monotonicity formula for general polyharmonic equations, which may have application in regularity theory for higher-order elliptic equations.
Evaluation of the hydrological model India-HYPE With focus on precipitation driving data and regionalization quality

In the year of 2012 a Sida funded joint project between the Swedish Meteorological and Hydrological Institute and the Central University of Rajasthan was initiated aiming to introduce the hydrological model HYPE in India. The overall aim of the project was to assess the hydrological impact of climate change. Historical precipitation and temperature driving data was used to calibrate the model while climate model projections was used to assess the hydrological impact of climate change. Within the scope of this Minor Field Study the Indian version of the HYPE model was evaluated with focus on precipitation driving data and regionalization quality. The precipitation driving data used in the joint project was evaluated through frequency analyses and linear regressions. The regionalization quality was evaluated by calibrating the model in one river basin and transferring the best parameter set to two adjacent basins. The evaluation of precipitation driving data indicated that the quality of the historical precipitation data is high but that the evaluation method might be inadequate due to the lack of raw data information such as rain gauge distribution. Also, the climate model projections were shown to be inadequate as driving data for assessments of the hydrological impact of climate change. In the evaluation of regionalization quality it was shown that the best parameter set was inadequate to transfer to adjacent basins. Possible reasons for the bad regionalization quality were erroneous stream flow data used in calibration and evaluation, erroneous driving data and erroneous model structure. In order to improve the regionalization quality one should focus on the calibration process, high quality stream flow data and the development of HYPE algorithms.
University of Groningen Hansenula polymorpha and Saccharomyces cerevisiae Pex5p's recognize different, independent peroxisomal targeting signals in alcohol oxidase Ozimek,

Peroxisomal alcohol oxidase (AO) from Hansenula polymorpha is inactive and partially mislocalized to the cytosol upon synthesis in Saccharomyces cerevisiae. Co-production with H. polymorpha pyruvate carboxylase (HpPyc1p) resulted in AO activation, but did not improve import into peroxisomes. We show that import of AO mediated by S. cerevisiae Pex5p is strictly dependent on the peroxisomal targeting signal 1 (PTS1) of AO and independent of HpPyc1p. In contrast, HpPex5p-mediated sorting of AO intoS. cerevisiae peroxisomes is independent of the PTS1, but requires an alternative PTS that is only formed when HpPyc1p is co-produced and most likely involves folding and co-factor binding to AO. 2005 Federation of European Biochemical Societies. Published by Elsevier B.V. All rights reserved.
Water Resource System M odeling for Conflict R esolution

Throughout most of the industrialized world, water reservoir systems are largely developed; relatively little new reservoir development can be expected. The application of reservoir operations and planning models has shifted from the development of water resources on a tabla rasa to the improved operation of a largely existing reservoir infrastructure for ever-evolving system operating objectives. The operation of existing systems in a partly water -dependent economy for new sociallydesired objectives (such as most environmental objectives) entails conflict. These conflicts include those between the early economic purposes of water development (flood control, agricultural and urban water supply, hydropower, and navigation), newer economic and social purposes (such as recreation and waste assimilation), and recen t environmental objectives (such as endangered species).
Design, Fabrication and Testing of a Flapping-Wing Mechanism for Bio-Inspired Micro Air Vehicles

The design, manufacturing and testing of a prototype flapping-wing mechanism for a Bio-Inspired Micro Air Vehicle (BMAV) is described. The design process is guided by the following initial performance requirements and size parameters of the BMAV, which are set for a hypothetical surveillance mission: it shall hover in place, it shall record and transmit live video wirelessly and it shall have no dimension greater than 150mm in length. A mathematical model of the flapping wing kinematics is developed and coupled with a modified aerodynamics model to guide the design process through quantitative estimates of the forces, torques, work and power required in flapping-wing hovering flight. It is assumed that the wing oscillatory flapping is harmonic, which is observed in many flapping-wing vertebrates and invertebrates. The stroke plane is aligned with the horizontal plane in the current design. Also, the planform of the flapping-wing and its straight leading-edge enable precise rotation of the wing tip relative to the wing root. The wing resultant aerodynamic force, wing average lift coefficient, torque at the root of the wing and the total power required per flapping cycle are calculated. A prototype of the proposed wing and flapping mechanism is designed and constructed using commercial off-the-shelf components to validate the mathematical model. The design of the prototype wing is optimized to achieve an average lift coefficient of 1.8. The chosen wing skin material is polyurethane coated nylon fabric. The leadingedge spar was designed to permit the attachment of skins of various sizes. To achieve a relatively constant angle of attack of 23 degrees, a planetary gear train is designed and mounted between the wing’s root rib and pivot point. Brushless motors have been chosen to power the flapping mechanism given their advantages over brushed motors. The flapping-wing mechanism has successfully been constructed, and its functionality has been validated. The current stage of the study focuses on testing its aerodynamic performance using an in-house designed and constructed BMAV test stand, which is described and discussed in this paper.
Spatiotemporal Distribution of Necrophagous Beetles (Coleoptera: Dermestidae, Silphidae) Assemblages in Natural Habitats of Central Spain

ABSTRACT The composition, spatial distribution, and seasonal fluctuations of necrophagous Coleoptera assemblages of families Dermestidae and Silphidae are studied along a bioclimatical level gradient of natural habitats in central Spain. Both families were collected with carrion-baited traps throughout a year. The main part of the individuals occurred in spring and summer, but silphids showed different seasonal patterns depending on the bioclimatical level. The assemblage composition also differs depending on the bioclimatical level with two distinguishable groups: one corresponding to mesomediterranean habitats and the other to supramediterranean and oromediterranean habitats. The most abundant species of Dermestidae are well represented at every bioclimatical level, whereas some species of Silphidae appear to have a preference for some habitats. Such differences in spatial and temporal patterns between both families could be because of their different food and carcass size preferences.
Identification of Artery/Vein in Retinal Image using Local Decision Tree Classifier

: The importance of automatic image analysis is increasing day by day for early detection of diseases like Cancer, Diabetic Retinopathy (DR), Hypertension. Sometimes these diseases causing damage to retinal image leading to blindness. We can prevent this by careful analysis of artery/vein retinal image. From this we observe that identifying retinal vessels in to artery/vein (A/V) plays a major role in detection the vascular changes and symptoms associated with several diseases. In this work, first we extract graph from retinal image, followed by investigation of identified graph nodes (intersection point). We perform depth first graph traversal with trained decision tree applied on each graph node to classify artery/vein. The trained decision tree classifier takes node labels, vessel segment (graph links) intensity features into account for classification. The proposed framework is tested on standard dataset and is compared with trained human expert for standard datasets. The accuracy values of INSPIRE-AVR, DRIVE, and VICAVR databases are 91.4%, 92.1%, and 93.2% respectively. Experimental results show that our approach is consistent with existing A / V classification state of the art algorithms.
The Impact Analysis of Modeling Errors for projecting cyber attacks

ne of the important components in predicting a credible future for cyber-attacks is the use of the number of attacks. Therefore, any change in the number of attacks will lead to errors in calculating the probabilities. In this paper, the impact of missing alerts on the predictive performance of Variable Length Markov Model for projecting the cyber-attacks is studied. By developing a comprehensive experiment, the impacts 0f missing alerts on the prediction have been obtained by removing the alerts from different locations of the attack sequence in different states. The results of the experiment show that if missed alerts are from just one part of the sequence they will cause less change in prediction accuracy and if missed alerts are scattered throughout the entire sequence, they will cause more change. When the sequence has a smaller symbol space, relatively less change is occurred in prediction accuracy while having larger symbol space causes more change. Overall, the results represent the strengths and weakness of Variable-Length Markov Model in projecting cyber-attacks. Based on this error analysis, a network analyst can infer and assess the predictive performance of Variable Length Markov Model when intrusion detection system loses some of the alerts. This research is an important step in developing a comprehensive report to assist cyber-attacks analysts.
Multiple Security System Using Signature Verification On Android Smartphone

— Multiple security system is developed by providing a dual security to the system. Firstly using keypad the password is to be entered. Now if correct password is entered we get an SMS on Android Smartphone. Automatically android application opens and the signature is to be performed on the Smartphone and hence uploaded to web server. The status of image is seen the web page. Now the signature comparison is done using Histogram Evaluation in openCV. If the signature matches with previously stored ones the locker system can be accessed.
Potential effects of ozone, climate, and spruce budworm on Douglas-fir growth in the Wasatch Mountains

This study assessed the potential for ozone injury to vegetation in the central Wasatch Mountains of Utah by determining if Douglas-fir (Pseudotsuga menziesii var. glauca (Beissn.) Franco) experienced reduced growth since the onset of high ozone concentrations. Dendrochronological techniques were used to model Douglas-fir growth in six cen- tral Wasatch Mountain stands, where ozone concentrations suggest the possibility of injury to vegetation, and in four Bear River stands, where ozone concentrations are lower than injury thresholds. Previous-year growth, temperature, and Palmer's Z index variables explained 53-70% of the variance in annual growth. Reduced Douglas-fir growth, not ex- plained by the model or insect and disease records, occurred after 1970 in the central Wasatch Mountains but not in the Bear River Mountains. Douglas-fir growth in the central Wasatch Mountains was slightly negatively correlated with the previous-year ozone concentrations in nearby Salt Lake valley. Between 1962 and 1973, a fluctuating budworm population due to varying spring precipitation was suggested to have replaced precipitation as the factor limiting tree growth, causing an anomalous negative relationship between precipitation and Douglas-fir growth. Because of a suite of possible factors (e.g., undetected climatic variables, fungal pathogens, competitive interactions) influencing Douglas-fir growth, ozone may be one factor in a larger stressor complex reducing growth. Resume : Cette etude avait pour but d'evaluer si la vegetation a subi des dommages dus a l'ozone, dans la partie cen- trale des monts Wasatch en Utah, en determinant si le douglas (Pseudotsuga menziesii var. glauca (Beissn.) Franco) a connu une reduction de croissance depuis que la concentration d'ozone a augmente. La croissance du douglas a ete modelisee a l'aide de la dendrochronologie dans six peuplements de la partie centrale des monts Wasatch, ou les
THE IMPACT OF DEMOGRAPHIC FACTORS AND VISUAL AESTHETICS OF MOBILE APPLICATION INTERFACE ON INTENTION TO USE MOBILE BANKING IN JORDAN

The current study examined the effect of demographic profiles and visual aesthetics of mobile application interface on the intention of using mobile banking services among clients living Jordan. The proposed research model was based on three aesthetics from human compute interaction researches. We used SPSS version 22 to analyse the data which was composed of 579 questionnaires from different cities in Jordan using the convenience sampling technique. This study empirically presents that the intention of using mobile banking was positively and significantly influenced by the simplicity of mobile application interface and colourfulness of mobile application interface. Meanwhile, craftsmanship of mobile application interface was found to be insignificantly affected by the intention to use. The results also showed that the intention to use is statistically impacted by internet usage frequency. In contrast, age and familiarity with mobile applications have not significant effect on intention to use mobile banking. There are several factors that bring efficiency to the intention to use mobile banking. Prior studies investigated the relationship between these variables and the adoption of mobile banking services. However, none has paid attention on the impact of visual aesthetics on the intention to use mobile banking services. Findings of the current study prove that the proposed research model is a comprehensive to study the acceptance of mobile banking in Jordan. Overall, the results indicated the appropriateness of fundamental elements of visual aesthetics model in mobile banking adoption context.
Design and Simulation of Solar Power Plant with Fuzzy MPPT and Fully Sinusoidal Current by Multilevel Hysteresis Controller

ysteresis modulation has a very wide application for the power inverters. This application is arising from the very fast dynamic response and the reference capability of the high frequency range. On the other hand, the maximum power point tracking causes to increase the received power without need to replace the solar array. Also utilizing the multilevel cascaded H-bridge inverter, several PV arrays can be connected together as motivate to increase the power quality and reduce the switching frequency and the filter size. In this paper, the multilevel and improved hysteresis control methods are simulated and compared. The results of the two methods express increasing the main component of the current and reducing THD in the improved method. Then general simulation of the solar power plant connected to the DC/DC SEPIC converter with maximum power point tracking capability by Fuzzy algorithm and the five-level cascaded H-bridge inverter with fully sinusoidal output and controlled by the multilevel improved hysteresis method is presented.
Desmutagenic Effect of Pheophytin from Japanese Eggplant against Several Mutagens

Using Salmonella typhimurium TA98 in the Ames test, we have identified desmutagens in Japanese eggplant juice. Most of the desmutagenic activity in the eggplant fruit is due to pheophytin, a Mg-free derivative of chlorophyll. Pheophytin inhibits mutagenesis to about 40% with or without metabolic activation of mutagens by S9 mix preparations. The mutagens employed were 2-aminoanthracene (2-AA), 2-aminofluorene (2-AF), 2-amino-3-methyl-9H-pyrido [2, 3-b] indole (MeAαC), 3-amino-1-methyl-5H-pyrido [4, 3-b] indole (Trp-P-2) and 2-nitro-fluorene (2-NF). Pheophytin did not influence enzymes involved in metabolic activation or interfere with the activation process when S9 was added. Therefore pheophytin appears to be a desmutagen acting directly on the mutagens. Trp-P-2-pheophytin reaction products could not be isolated by HPLC or determined by 1H-NMR under various conditions owing to their instability. The desmutagenicity of pheophorbide, the phorbin skeleton of pheophytin, against Trp-P-2 was approximately 40%, but phytol, the carbon chain of pheophorbide, showed no desmutagenicity. This suggests that the desmutagenicity of pheophytin is derived from the pyrole rings.
Data-driven adaptation of the evasion behaviour in fiddler crabs

Analysing the behaviour of animals and studying their brain structure is a common way to create bio-inspired artificial intelligence methods. Fiddler crabs are animals with specific limitations on their sensors that have a great ability of evading on the presence of potential predators. In this project we study these animals with respect to the physiology of their unique sensor – their vision – and their evading manoeuvres, in order to create a machine learning model, which imitates this interesting behaviour. More specifically, we propose a semi-supervised architecture of neural network, inspired by the structure of fiddler crabs’ brain and their evasion behaviour’s feedback loops. We combine location specific visual units and LSTM recurrent units in order to build a model capable to adapt this behaviour. We trained our model using a data-set we created using data from experiments done with living crabs in their habitat. Comparing our statistical results of our model’s behaviour with the ones of the original crabs behaviour we show that this model captured some key features of this behaviour as well as it seems to behave quite realistic in the simulations. Therefore, we show that it is reasonable to consider machine learning models as potential solutions in animal behaviour adaptation problems.