Miracle-dz/UniFAR-FTUs huggingface dataset:
Gamma Irradiation Effect on Guava Fruit Fly, Bactrocera correcta (Bezzi) (Diptera: Tephritidae)

The effect of gamma irradiation on fruit fly pupae of Bactrocera correcta, from a 137 Cs source at various doses was investigated under laboratory conditions. The results indicated that the percentages of adult emergence, adult abnormality and male longevities were not significantly different from one another at 0, 5, 10, 15 and 30 Gy, while the sterilities of unirradiated and irradiated males were 23.85, 21.78, 59.10, 72.57 and 98.34%, respectively. Percent sterility at 5 Gy was not significantly different from the control (0 Gy). The investigation showed that mating competitiveness of the males when irradiated at 30 Gy was almost equal to that of the untreated males. The total competitiveness values of treated males were estimated to range from 1.45 to 2.09 for the three different ratios (male:normal male:normal female) of 1:1:1, 1:0:1 and 3:1:1. Observation of the melanization of the treated larvae after killing by freezing indicated that the larval color appeared to range from black to creamy white (from 0 to 30 Gy), with the degree of melanization decreasing with increasing doses. Total haemocyte counts (THCs) of the irradiated 1 st instar larvae and observed in the 3 rd instar larvae at 0, 5, 10, 15 and 30 Gy averaged 3,150, 2,200, 700, 550 and 350 h/mm 3 , respectively. The THCs at every dose were
Characterization and Quantification of the Pore Structures of the Shale Oil Reservoir Formations in Multiscale

Pore structures can significantly impact the mechanical and physical properties of the rock such as permeability, strength and durability. Understanding the microstructures of the rocks accurately and quantitatively is essential to petroleum engineering for evaluating and development of oil and gas, especially for the unconventional reserves with abundant interior nanoscale pores such as shale. In this paper, we studied the pore structures of rock samples from Middle Bakken Formation which is a typical unconventional reservoir in North America. High resolution SEM images of five samples were derived after sample preparation. After determining the threshold of the images, we extracted the pore spaces at various magnifications and determined the representative elementary area (REA). Then we analyzed the pore structures properties such as pore size distributions and pore shape distributions of the five samples at their representative elementary area and applied statistics analysis method to compare their distributions. After that, we analyzed their heterogeneity and isotropy properties which have been identified as an important factor affecting reservoir productivity.
Prosocial Motivation and Incentives

This review explores the role of incentives in providing goods and services that have significant social returns not captured in private returns, and where outcomes and performances are not easy to measure. We discuss how the presence of prosocial motivation among agents involved in the provision of these goods and services changes the design of incentives. The review also emphasises how heterogeneous prosocial motivation puts a premium on selection of agents in this context. We also discuss alternative theories of prosocial motivation.
Hydrologic response of catchments to precipitation: Quantification of mechanical carriers and origins of water

Precipitation‐induced overland and groundwater flow and mixing processes are quantified to analyze the temporal (event and pre‐event water) and spatial (groundwater discharge and overland runoff) origins of water entering a stream. Using a distributed‐parameter control volume finite‐element simulator that can simultaneously solve the fully coupled partial differential equations describing 2‐D Manning and 3‐D Darcian flow and advective‐dispersive transport, mechanical flow (driven by hydraulic potential) and tracer‐based hydrograph separation (driven by dispersive mixing as well as mechanical flow) are simulated in response to precipitation events in two cross sections oriented parallel and perpendicular to a stream. The results indicate that as precipitation becomes more intense, the subsurface mechanical flow contributions tend to become less significant relative to the total pre‐event stream discharge. Hydrodynamic mixing can play an important role in enhancing pre‐event tracer signals in the stream. This implies that temporally tagged chemical signals introduced into surface‐subsurface flow systems from precipitation may not be strong enough to detect the changes in the subsurface flow system. It is concluded that diffusive/dispersive mixing, capillary fringe groundwater ridging, and macropore flow can influence the temporal sources of water in the stream, but any sole mechanism may not fully explain the strong pre‐event water discharge. Further investigations of the influence of heterogeneity, residence time, geomorphology, and root zone processes are required to confirm the conclusions of this study.
The Method for Object-Based Diagnostic Evaluation (MODE) Applied to Numerical Forecasts from the 2005 NSSL/SPC Spring Program

Abstract The authors use a procedure called the method for object-based diagnostic evaluation, commonly referred to as MODE, to compare forecasts made from two models representing separate cores of the Weather Research and Forecasting (WRF) model during the 2005 National Severe Storms Laboratory and Storm Prediction Center Spring Program. Both models, the Advanced Research WRF (ARW) and the Nonhydrostatic Mesoscale Model (NMM), were run without a traditional cumulus parameterization scheme on horizontal grid lengths of 4 km (ARW) and 4.5 km (NMM). MODE was used to evaluate 1-h rainfall accumulation from 24-h forecasts valid at 0000 UTC on 32 days between 24 April and 4 June 2005. The primary variable used for evaluation was a “total interest” derived from a fuzzy-logic algorithm that compared several attributes of forecast and observed rain features such as separation distance and spatial orientation. The maximum value of the total interest obtained by comparing an object in one field with all objects in .
FACTORS AFFECTING THE PROFITABILITY RATE OF LEADING FIRMS IN MAKASSAR

The purposes of this research are to investigate the factors which affecting firms’ profitability in Makassar. The factors are amount of capital, growth of sales, net working capital, leverage ratio, and current ratio. The sample involved in the survey 45 companies which identified as leading companies in Makassar. The result outlined that the leading businesses tended to consider financial ratio in implementing financial policy. The findings indicated that growth of sales, current ratio and amount of capital had contributed significantly to profitability rate of the firms. In depth interviewed to finance manager revealed that characteristic of business would make manager consider different way to implement financial policy, Key words: profitability, leverage, current ratio, capital, growth
Laminar convective heat transfer for in-plane spiral coils of noncircular cross sections ducts: A computational fluid dynamics study

The objective of this study was to carry out a parametric study of laminar flow and heat transfer characteristics of coils made of tubes of several different cross-sections e.g. square, rectangular, half-circle, rectangular and trapezoidal. For the purpose of ease of comparison, numerical experiments were carried out base on a square-tube Reynolds number of 1000 and a fixed fluid flow rate while length of the tube used to make coils of different diameter and pitch was held constant. A figure of merit was defined to compare the heat transfer performance of different geometry coils; essentially it is defined as total heat transferred from the wall to the surroundings per unit pumping power required. Simulations were carried out for the case of constant wall temperature as well as constant heat flux. In order to allow reasonable comparison between the two different boundary conditions - constant wall temperature and constant wall heat flux - are tested; the uniform heat flux boundary condition was computed by averaging the heat transferred per unit area of the tube for the corresponding constant wall temperature case. Results are presented and discussed in the light of the geometric effects which have a significant effect on heat transfer performance of coils.
Data Driven Smooth Tests

Smooth test was introduced by Neyman (1937) to verify simple null hypothesis asserting that observations obey completely known continuous distribution function F . Smooth test statistic (with k components) can be interpreted as score statistic in an appropriate class of auxiliary models indexed by a vector of parameters θ ∈ R, k ≥ 1. Pertaining auxilary null hypothesis asserts θ = θ0 = 0. Therefore, in this case, the smooth test statistic based on n i.i. d. observations Z1, . , Zn has the form
file://C:\Documents and Settings\silvia\Desktop\DIDATTICA\Didat

Most studies of designer behaviour have been based on novices (e.g.students) or, at best, designers of relatively modest talents. The reason for this is obvious – it is easier to obtain such people as subjects for study. However, if studies of designer behaviour are limited to studies of rather inexpert designers, then it is also obvious that our understanding of design expertise will also be limited. In order to understand expertise in design, we must study expert designers. In some instances, it will be necessary to study outstanding, or exceptionally good designers. This is analogous to studying chess masters, rather than chess novices, in order to gain insight of the cognitive strategies and the nature of expertise in chess playing.
Map Reduce Technique for HIPI

Due to the increasing popularity of cheap digital photography equipment, personal computing devices with easy to use cameras, and an overall improvement of image capture technology with regard to quality, the amount of data generated by people each day shows trends of growing faster than the processing capabilities of single devices. It becomes computationally inefficient to analyze such huge data. The amount of raw data available has been increasing at an exponential rate. For the effective handling of such massive data, the use of MapReduce framework has been widely came into focus. Over the last few years, MapReduce has emerged as the most popular computing paradigm for parallel, batch-style and analysis of large amount of data. In this paper, we are going to work around MapReduce, its advantages, disadvantages and how it can be used in integration with other technology.
A global camera network calibration method with Linear Programming

We propose a novel global calibration method for a network of cameras. Given a set of unknown cameras linked by epipolar geometry, we transform it into a graph of camera triplets. Underlying this new graph is a set of trifocal tensors. Based on (i) a linear computation of the trifocal tensor given two of the three related fundamental matrices, and (ii) considering a maximal tree embedded in our graph, we first design a way to globally recover the cameras. Then, we observe that considering the whole graph consists in simply adding constraints that can be easily linearized. A global estimation of the cameras thus boils down to solving a linear program. Numerical experiments show the ability of our method to recover accurate geometries, without any incremental process, and dealing naturally with loops in the network of cameras. Moreover, the number of unknown parameters is limited: we only consider the cameras (the motion), not the three-dimensional points (the structure).
Study of Task Scheduling in Cloud Computing Environment Using Soft Computing Algorithms

Cloud computing is a popular computing concept that performs processing of huge volume of data using highly accessible geographically distributed resources that can be accessed by users on the basis of Pay as per Use policy. Requirements of different users may change so the amount of processing involved in such paradigm also changes. Sometimes they need huge data processing. Such highly volumetric processing results in higher computing time and cost which is not a desirable part of a good computing model. So there must be some intelligent distribution of user's work on the available resources which will result in an optimized computing environment. This paper gives a comprehensive survey on such problems and provide a detailed analysis of some best scheduling techniques from the domain of soft computing with their performance in cloud computing.
Effects of Path Visibility on Urban MIMO Systems

Multiple-Input Multiple-Output (MIMO) wireless communication technology is expected to improve the channel capacity over the limited bandwidth of existing networks. Since urban MIMO systems have complex propagation characteristics, the channel capacity cannot be estimated using a simple method. Hence, we introduce channel capacity characteristics to urban MIMO systems by using a combination of imaging and ray-launching methods as a ray-tracing scheme. A simulation based on these methods with variable parameters can reproducibly estimate various urban propagation characteristics and discriminate the effects of the urban model and antenna configurations. The characteristics of the Signal-to-Noise Ratio (SNR), the channel capacity, the spatial correlation, as well as the path visibility are then determined from the results of the simulation. The parameter called path visibility introduced in our previous study is considered again herein. We clarify that only this single parameter can be used to determine the channel capacity characteristics in urban MIMO scenarios. This parameter also provides guidance in determining the appropriate range for the base station (BS) height.
EQUITABLE DEFECTIVE COLORINGS OF COMPLETE BIPARTITE GRAPHS

A graph G has an equitable k-defective coloring in m colors if its vertices can be colored with m colors such that the maximum degree of any subgraph induced by vertices assigned to the same color is at most k and the numbers of vertices in any two sets composed of the vertices that are assigned to the same color differ by at most one. The equitable k-defective chromatic number of a graph G, denoted by χED,k(G), is the smallest positive integer m for which G has an equitable k-defective coloring in m colors. In this paper, we present the equitable k-defective chromatic numbers of complete bipartite graphs for k = 1 and k = 2.
The effect of learning English as a foreign language on the temporal and spatial perception of Persian learners

The findings of the current research on language and thought provide supporting evidence for the idea that language can have a profound effect on thought. In two studies, the authors examined the effect of learning English as a foreign language on the temporal and spatial perception of Persian learners. In the first study, 99 participants and in the second study 92 participants were recruited. The participants were assigned to three groups of monolinguals, low level bilinguals and high level bilinguals based on their performance on the Oxford Quick Placement Test (QPT). Drawing on the assumptions of Construal Level Theory (CLT, Trope & Liberman, 2003), we primed global processing in participants through Navon’s task (1977). Having completed the task, participants were required to estimate temporal and spatial distances in a number of situations. The results of the studies suggest that learning a foreign language can have an impact on the temporal and spatial cognition of language learners.
Fixed-point property for CAT(0) spaces

We investigate the fixed-point property for the class of CAT(0) spaces with Izeki-Nayatani invariant δ ≤ δ0 for some δ0 < 1/2. It turns out that we can generalize many theorems which are known to hold for Property (T) to this much stronger fixedpoint property.
Review of name resolution and data routing forinformation centric networking

Information Centric Networking (ICN) a future Internet, presents a new paradigm by shifting the current network to the modern network protocols. Its goal, to improve the traditional network operations by enabling ICN packet routing and forwarding based on names.This shift will bring advantages, but at the same time, it is leading to a big challenge on routing approaches to implement ICN nodes. Routing approaches must use special techniques to publish messages to all the network nodes.Flooding approach is an easy and stateless, however, results in control overhead, depending on the network size.Moreover, designing, implementing, and evaluating routing approaches with higher capacity is really a key challenge in the overall ICN research area, because the state of ICN brings a significant cost; both in packet processing and router storage.Many approaches were proposed in the literatures over these years for the efficient control of forwarding on the network.This paper provides a classification and review of the routing mechanisms that are proposed on six ICN architectures.A summary in tabular form and a comparative study of these six architectures is also given in the paper as well as few open research challenges are highlighted.
Farmers' awareness and perceived benefits of agro-ecological intensification practices in banana systems in Uganda

Declining soil fertility and pests and diseases are major constraints to banana productivity in smallholder farming systems in Uganda. This study explored farmers’ awareness and perceptions on agro-ecological intensification (AEI) practices for addressing these constraints in five banana-growing districts in Uganda. Stratified random sampling procedure was used to select 60 households for a survey from different agro-ecological zones and banana production systems. The household survey was complemented with focus group discussions to obtain qualitative data on farmer perceptions on benefits and constraints to AEI application on-farm. Thematic content analysis and descriptive statistics were used to analyze data. Results of the study show that most of the interviewed farmers were aware of the AEI practices although not all those aware had adopted the practices. Farmers were motivated to apply AEI practices perceived to offer multiple benefits: pest and disease management, enhanced productivity, soil fertility improvement and ecological adaptability. Major constraints to application of AEI practices by farmers include insufficient knowledge, labour intensiveness and limited access to markets. A transition towards intensification of smallholder banana systems requires that the full range of ecosystem services provided by AEI practices are recognized and valued by farmers. Therefore, empowering farmers with knowledge on their agro-ecological systems and locally adapting AEI practices is essential for realization of benefits and wider adoption of AEI practices.
SOLVING SMALL SAMPLE RECIPE GENERATION PROBLEM WITH HYBRIDWKRCF-PSO

The cost of the experimental setup during the assembly process development of a chipset, particularly the under-fill process, can often result in insufficient data samples. In INTEL Malaysia, for example, the historical chipset data from an under-fill process consist of only a few samples. As a result, existing machine learning algorithms for predictive modeling cannot be applied in this setting. Despite this challenge, the use of data driven decisions remains critical for further optimization of this engineering process. In the proposed framework, the original weighted kernel regression with correlation factor (WKRCF) is strengthened by normalizing the input parameters and employing the Particle Swarm Optimization (PSO) as weight estimator. It is found that PSO gives flexibility in defining the objective function as compared to the iteration technique of WKRCF. Thus, an assumption on noise contamination to the available training samples can be implemented. Even though only four samples are used during the training stage of the conducted experiment, the proposed approach is able to provide better prediction within the engineer’s requirements as compared with WKRCF. Thus, the proposed approach is beneficial for recipe generation in an assembly process development.
Mori Fructus Induces Cell Death through ROS-dependent Mitochondrial Apoptotic Pathway in Human Glioma Cells

Mulberry has been reported to contain wide range of polyphenols and have chemopreventive activity. However, little has been known regarding the effect of mulberry fruits on cell viability in human glioma cells. The present study was undertaken to examine the effect of mulberry fruit (Mori Fructus) on cell viability and to determine its underlying mechanism in human glioma cells. Cell viability and cell death were estimated by MTT assay and trypanblue exclusion assay, respectively. Reactive oxygen species (ROS) generation was measured using the fluorescence probe DCFH-DA. The mitochondrial transmembrane potential was measured with DiOC 6(3). Bax expression and cytochrome c release were measured by Western blot analysis. Caspase activity was estimated using colorimetric kit. Mori Fructus resulted in apoptotic cell death in a dose- and time-dependent manner. Mori Fructus increased ROS generation and the Mori Fructus-induced cell death was also prevented by antioxidants, suggesting that ROS generation plays a critical role in Mori Fructus-induced cell death. Western blot analysis showed that Mori Fructus treatment caused an increase in Bax expression, which was inhibited by the antioxidant N-acetylcysteine (NAC). Mori Fructus induced depolarization of mitochondrial membrane potential and its effect was inhibited by the antioxidants NAC and catalase. Mori Fructus induced cytochrome c release, which was inhibited by NAC. Caspase activity was stimulated by Mori Fructus and caspase inhibitors prevented the Mori Fructus-induced cell death. These findings suggest that Mori Fructus results in human glioma cell death through ROS-dependent mitochondrial pathway in human glioma cells.
Effect of Binders on Porous Properties, Surface Chemical Properties and Adsorption Characteristics of Granular Adsorbents from Sewage Sludge

To investigate the influence of binders on porous properties, surface chemical properties and methylene blue adsorption characteristics of granular adsobnts from sewage sludge, four samples(G1, G2, G3 and G4) respectively using soluble starch, sodium carboxymethyl cellulose, sodium silicate and calcium sulfate as binders and a sample without binder (G0) were prepared by carbonization method. The pore structure and surface characterization of samples prepared show that G1 and G2 have many microporous and mesoporous pores while the activation of sodium silicate and calcium sulfate cause that G1 and G2 are typical mesoporous adsorbents. The FTIR spectra of all samples suggest that the major differences of surface functional groups are between 1000-1200 cm-1 and 400-800 cm-1. Langmuir model fitted the methylene blue (MB) adsorption data better, and the MB adsorption of G0, G1, G2, G3 and G4 are 56.50, 40.32, 33.44, 29.33 and 71.94mg/g, respectively. DOI: http://dx.doi. org/10.5755/j01.ms.20.4. 6031
Analysis of Relay Deployment Based on Handover Outage Probability in High Speed Scenarios

The LTE and LTE-Advanced systems are supposed to be the most popular cellular network in 4G networks. Relay technology is one of the most preferred technologies proposed in LTE-Advanced standardization to improve the capacity and coverage. This paper analyses the handover outage probability through relay deployment, and proposes some proofs and suggestions for relay deployment to minimize the handover outage probability in high speed scenarios.