Miracle-dz/UniFAR-FTUs huggingface dataset:
The Impact of Strategy for Building Sustainability on Performance of Software Development Business in Thailand

In the present business environments, balancing between the needs of a business enterprise and its stakeholders is recognized as a critical strategy for the success and long-term survival of any firm. However, the understanding of sustainable strategy on firm performance remains a key challenge for both academia and management alike. The purpose of this study is to examine the effect of strategy for building sustainability on performance. Data are collected from 122 managers of software development companies in Thailand. Results show that strategy for building sustainability positively affected Capability Maturity Model Integration (CMMI) level, financial performance, corporate image, and stakeholder satisfaction. Furthermore, results also show that the strategy for building sustainability had indirect effects on corporate image through the CMMI level and the stakeholder satisfaction had direct effects on financial performance.
Study of the Effect of Simulated Rain on the Offset Parabolic Antenna at Ku-Band with Different Elevation Angles

Effect of rain on the receiver antenna is a major factor to degrade the system performance in a frequency above 10 GHz. This paper deals with the wet antenna attenuation at Ku-band with three different frequencies at different rain rates. During the Ku-band propagation experiment, it was discovered that rain water on the antenna caused a significant attenuation. It is necessary to estimate the losses caused by water on the antenna in order to separate these losses from the atmospheric propagation losses. The experiment was done at USM Engineering Campus to study the attenuation for these physical parameters. A Ku-band RF signal was generated by a signal generator and transmitted via horn antenna. The signal was received using a smooth offset antenna of 60 cm by 54 cm (Astro dish) and measured using spectrum analyzer. In order to simulate a rain, pipes with bores of a same distance were implemented. Three cases were considered: in the first case one pipe was used to simulate low rain rate, the second case two pipes were used to simulate medium rain rate, and the third case three pipes were used to simulate heavy rain rate. In addition, the tap was used to control the flow of water in order to get more values of rain rate. The total attenuation of RF signals due to water layer on the feed and on the reflector feed was found to be 3.1 dB at worst case. On the other hand, the attenuation of RF signal due to the feed only was 2.83 dB, so the major attenuation occur was due to feed.
Aging Mitigation Schemes for Embedded Memories

With the continuous miniaturization of CMOS technology into the nanometer regime, the reliability of SRAM memories is threatened by accelerated transistor aging such as Bias Temperature Instability (BTI), Hot Carrier Injection (HCI) and gate oxide breakdown. Among these mechanisms BTI is known to be the primary aging mechanism in nanoscale devices. The overall effect of BTI is a gradual increase of threshold voltage (Vth). BTI significantly reduces the Static Noise Margin (SNM) of an SRAM cell and makes it more susceptible to failures. To address the impact of BTI in memory array a variety of bit flipping techniques has been proposed. However, all the proposed bit flipping techniques require at least an additional column to store the inversion flag which imposes considerably large area overhead. In this thesis, we propose two techniques to mitigate BTI induced aging in embedded memory: aging-aware instruction encoding and self-controlled bit flipping; both schemes take the workload into consideration. The aging-aware instruction encoding technique is based on changing the encoding of the Instruction Set Architecture (ISA) in order to balance the occurrence probabilities of 1s and 0s and therefore minimize the impact of BTI in the embedded memory. To evaluate this scheme, we used the Leon2 processor for course case study. A C++ based simulation environment was used to exhaustively search for an encoding resulting in a balanced occurrence probabilities of 0s and 1s. The simulation results revels that on average up to 30% SNM degradation improvement. Self-controlled bit flipping is based on inverting the content of the memory array during write operation with respect to a specific bit of the written word referred to as flip bit; this bit is left untouched during the write and used as a reference bit to indicate either the written data is inverted or not. Simulation results show that up to 33% SNM degradation improvement can be achieved. The area overhead of the proposed technique is the flip circuitry only. For this reason, our technique saves 64% of the area overhead induced by the periodic flipping techniques.
Algorithm Implementation for Detection and Tracking of Ships Using FMCW Radar

Abstract − This study focuses on a ship detection and tracking method using Frequency Modulated ContinuousWave (FMCW) radar used for horizontal surveillance. In general, FMCW radar can play an important role inmaritime surveillance, because it has many advantages such as low warm-up time, low power consumption, andits all weather performance. In this paper, we introduce an effective method for data and signal processing ofship’s detecting and tracking using the X-band radar. Ships information was extracted using an image-basedprocessing method such as the land masking and morphological filtering with a threshold for a cycle datamerged from raw data (spoke data). After that, ships was tracked using search-window that is ship’s expectedrectangle area in the next frame considering expected maximum speed (19 kts) and interval time (5 sec). Byusing this method, the tracking results for most of the moving object tracking was successful and those resultswere compared with AIS (Automatic Identification System) for ships position. Therefore, it can be said that thepractical application of this detection and tracking method using FMCW radar improve the maritime safety aswell as expand the surveillance coverage cost-effectively. Algorithm improvements are required for an enhance-ment of small ship detection and tracking technique in the future.Keywords: FMCW radar (FMCW 레이더), Ship detection(선박 탐지), Ship tracking(선박 추적), AIS(선박자동식별장치 )
Impact of Tool Profile on Mechanical Properties of AZ31B Mg Alloy during FSW Using Optimized Parameters

In this experimental investigation, an attempt was made to understand the influence of the tool profile on the mechanical properties of the joints fabricated during friction stir welding (FSW) of AZ31B Mg alloy flat plates. When the specimens prepared from the successfully fabricated joints were subjected to tensile tests as per prescribed International Standards it was observed that employing a taper cylindrical pin profiled tool resulted in sound quality lap joints with improved mechanical properties. Moreover, the use of other tool profiles namely straight cylindricall&straight square could not produce defect free joints. Further, this investigation reveals us that the common FSW defects including low distortion, lack of cavity, tunnel defects etc are found to be completely eliminated while using taper cylindrical pin profiled tool.
Genetic improvement of fibre traits in perennial ryegrass.

Genetic changes in fibre characteristics of perennial ryegrass (Lolium perenne) may enhance degradability and thereby improve voluntary feed intake and energy availability from ingested grass. Plant breeding and genetic modification (GM) approaches to altering fibre composition have been initiated, with the ultimate objective of developing cultivars with improved fibre degradability. Ryegrass was modified with gene constructs designed to reduce the activity of key genes in lignin biosynthesis, a major component of fibre that impedes digestion. Concurrently, a grass fungal endophyte was manipulated to express enzymes that digest the structural components of grass fibre. Development of new analytical tools have enabled mining of a diverse collection of ryegrass germplasm, and natural variants were identified for both lignin concentration and levels of specific cell wall compounds that were shown to correlate with forage digestion rate. Both conventional breeding and GM strategies may be exploited to improve degradability traits in perennial ryegrass but further development will be required.
Managing Lexical Ambiguity in the Generation of Referring Expressions

Most existing algorithms for the Generation of Referring Expressions (GRE) tend to produce distinguishing descriptions at the semantic level, disregarding the ways in which surface issues (e.g. linguistic ambiguity) can affect their quality. In this article, we highlight limitations in an existing GRE algorithm that takes lexical ambiguity into account, and put forward some ideas to address those limitations. The proposed ideas are implemented in a GRE algorithm. We show that the revised algorithm successfully generates optimal referring expressions without greatly increasing the computational complexity of the (original) algorithm.
3 D GEOMETRIC CHARACTERIZATION OF PARTICLES APPLIED TO TECHNICAL CLEANLINESS

During production of mechanical components, residual dirt collects on the surfaces, thus creating a contamination that affects the durability of the assembled products. Residual particles are currently analyzed based on microscopic 2D images. However, the particle’s shape is decisive for the damage it can cause, yet can not be judged reliably from 2D data. Micro-computed tomography allows to capture the complex spatial structures of thousands of particles simultaneously. Now new methods to characterize three dimensional shapes are needed to establish 3D cleanliness analysis. In this work, unambiguously indicative geometric features are defined and it is investigated how they can yield a reliable classification in three typical classes: fibers, chips and granules. Finally, the efficiency of the proposed method is proved by analyzing samples of real dirt particles.
Automatic Denoising and Unmixing in Hyperspectral Image Processing

This thesis addresses two important aspects in hyperspectral image processing: automatic hyperspectral image denoising and unmixing. The first part of this thesis is devoted to a novel automatic optimized vector bilateral filter denoising algorithm, while the remainder concerns nonnegative matrix factorization with deterministic annealing for unsupervised unmixing in remote sensing hyperspectral images. The need for automatic hyperspectral image processing has been promoted by the development of potent hyperspectral systems, with hundreds of narrow contiguous bands, spanning the visible to the long wave infrared range of the electromagnetic spectrum. Due to the large volume of raw data generated by such sensors, automatic processing in the hyperspectral images processing chain is preferred to minimize human workload and achieve optimal result. Two of the mostly researched processing for such automatic effort are: hyperspectral
Génération de pictogrammes à partir de la parole spontanée pour la mise en place d’une communication médiée

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. Génération de pictogrammes à partir de la parole spontanée pour la mise en place d’une communication médiée Céline Vaschalde, Benjamin Lecouteux, Didier Schwab
Ethnicity and work-related stress in Eastern European care workers for the elderly: an application of a proposed multi-dimensional model.

The present study aims to test the application of a multidimensional model of stress that takes as a framework of reference the DRIVE (Demands, Resources, and Individual Effects) model and previous studies on occupational health and cultural aspects in a sample of Eastern European eldercare workers. This model integrated ethnicity and work-related stress dimensions in a transactional perspective combining individual differences, ethnicity aspects, work characteristics in the prediction of psychophysical health giving closer attention to specific associations between cultural dimensions such as cultural identity, acculturation strategies and health outcomes. Therefore the study hypothesized significant profiles of associations between individual differences, work characteristics, ethnicity dimensions, perceived job satisfaction/stress and health outcomes among these workers. A questionnaire measuring the following dimensions was submitted to 250 Eastern European eldercare workers in Southern Italy: coping strategies, personality behaviours, acculturation strategies, perceived work demands, resources/ rewards, perceived job stress/satisfaction, psychological disorders and general health. Around one third (38.6%) lived in Italy from more than 5 years, all were women (Age Mean=43.18; SD=4.25) and most of them were married (94.8 %), with a high level of education (94.4 %), worked full-time (93.2 %) and had fixed contracts (97.2 %). Data were analysed using LR logistic regression to evaluate the effects of all the dimensions reported on the risk of suffering health problems. Results showed that work demands, type A and negative affectivity behavioural patterns significantly associated with high levels of anxious-depressive disorders, relational disorders and general health. Moreover positive coping strategies, specific acculturation strategies and perceived job satisfaction significantly associated with low levels of psychophysical disorders. Findings supported different aspects of the proposed stress model and will be helpful in defining psychological interventions to support this particular type of migrant workers.
CONSTRAINED MULTI-POINT AERODYNAMIC SHAPE OPTIMIZATION OF THE VISCOUS DPW WING THROUGH EVOLUTIONARY PROGRAMMING AND SUPPORT VECTOR MACHINES

This work presents an application of Surrogate-Based Optimization (SBO) to the multipoint constrained design of the 3D DPW wing [1]in viscous transonic flow conditions. The geometry is parameterized by a control box with 36 design variables. An adaptive sampling technique focused on the optimization problem, the Intelligent Estimation Search with Sequential Learning (IES-LS), is applied. The selected SBO approach is based on the use of Support Vector Machines (SVMs) as the surrogate model for estimating the objective function, in combination with an evolutionary algorithm (EA) to enable the discovery of global optima. The aim of this work is to complement a previous one [2] by adding a study of the capability of this method to obtain an improvement for this multipoint constrained three-dimensional test case.
Single Nucleotide Variant Calling Tools for RNA-Seq

Dissecting the transcriptome is essential for understanding the functional element of genome and molecular constituents of cells and tissues, and also important for revealing the cancer mechanism. Highthroughput RNA sequencing (RNA-Seq) has enabled whole genome and transcriptome single nucleotide variant (SNV) discovery in cancer. In recent years, a number of SNV identification methods have been published from both public and commercial sources. Here we presented an overview and evaluation of these attempts on SNV calling. We defined a set of criteria and compared the performance of four tools (GATK, Samtools, VarScan and Array Studio) based on these criteria, and we further provided advices on lowering false positive mutation rate. 
An overview of engineering numerical methods for the dynamic analysis of a nuclear reactor with fluid-structure interaction modelling

The paper is concerned with the dynamic analysis of a nuclear reactor with fluid-structure interaction modelling. Various fluid-structure interaction effects (inertial, elasto-acoustic coupling, confinement) are investigated using specific mathematical modelling. In particular, modelling of the reactor internal structures is performed using an homogenisation method whose numerical basis are exposed in the paper. Influence of fluidstructure coupling on the dynamic behaviour of the reactor is highlighted with a modal analysis, on the one hand, and a dynamic analysis in the 0-20 Hz and 20-200 Hz frequency range, on the other hand. Modal analysis is carried out by computing the mode shapes, frequencies and effective masses of the reactor with and without fluid-structure interaction. Dynamic analysis is performed using various engineering methods (temporal and spectral approaches) which are compared and discussed. From the engineering standpoint, the following questions, of paramount interest in pre-design ana.
Growing a Forest: - Genetic Decision tree Induction

In decision tree learning, the traditional top-down divide and conquer approach searches a limited part of the hypothesis space, often leading to sub-optimal solutions. By doing decision tree induction with the use of an evolutionary algorithm the hypothesis space can be searched globally, leading to stronger solutions, while maintaining the inherent comprehensibility that decision trees offers. We have developed EMTI, the Evolutionary Multi-class Tree Inductor, a genetic programming method for inducing parallel axis, poly-ary decision trees for multiclass classification problems. It focuses on creating accurate decision trees with a high degree of human readability. EMTI uses a genetic programming encoding-scheme representing individuals directly as decision trees, and implements tree-specific crossover and mutation operators. Initial population is generated in the form of minimal, one decision node trees, which grow rapidly in size as the evolution cycle count increases. The multi-objective fitness function rewards classification accuracy while favoring smaller trees over larger ones. Traditional decision tree pruning methods and early stopping methods are shown to be viable ways of avoiding overfitting in the algorithm. EMTI scores favorably in terms of classification accuracy compared to C4.5 and shows a strong ability to ignore data noise and irrelevant attributes.
Disintegration of starch crystal structure by steam flaking may be responsible for the improvement of in vitro ruminal fermentation of steam flaked sorghum grains

The intact and steam-fl aked sorghum grains were analysed for starch crystal structure, gas production kinetics and ruminal fermentation characteristics to investigate the disintegration of starch crystal structure by steam fl aking responsible for the improved in vitro ruminal fermentation of steam fl aked sorghum. All typical diffraction peaks at 2θ values of 15°, 17°, 18°, and 23° disappeared in the steam-fl aked sorghum. The degree of starch gelatinization and the rate of gas production were signifi cantly increased (P<0.0001) by steam-fl aking processing. The steam-fl aked sorghum showed increased ruminal molar proportion of acetic acid (P<0.01) and propionic acid (P<0.01), and decreased acetic: propionic acid ratio (P<0.05). The present results indicate that the disintegration of starch crystal structure, associated with increased starch gelatinization in steamfl aked sorghum, would be responsible for the improvement of in vitro ruminal fermentation of steam fl aked sorghum grains.
Time-varying financial spillovers from the US to frontier markets

We examine US stock index return and volatility spillovers on the mean and volatility of stock index returns of 21 Frontier markets. We entertain potential time variation in spillovers in mean returns by considering a time-varying parameter (TVP) model. Spillovers in volatility are modelled by augmenting a standard GARCH (1, 1) model with current and one-period lagged US conditional volatility effects. The resulting model can be cast in state space form. However, it is not time invariant as the ‘coefficient’ multiplying the state variable (the TVP parameter) is current period US returns. The model is estimated by the Kalman filter. Several important hypotheses of interest are tested using a variety of restricted versions of the general model. An important contribution of the paper is a detailed analysis of the relative contributions from US and own-country lagged effects on both the mean and the volatility of returns in Frontier countries. In summary, our TVP model detects statistically significant time variation in return spillovers, and statistically and quantitatively important volatility spillovers for most Frontier markets. However, the model captures only a small portion of their daily return fluctuations. Most Frontier markets display volatility that is greater both in magnitude and variability relative to the US. Time-varying and quantitatively significant spillovers from the US are important in 13 of the 21 Frontier countries. Quantitative or statistically significant impact of US conditional volatility is found for at least 14 markets. Our results strongly reject the polar null hypotheses of complete market segmentation or complete market integration. Thus, Frontier markets are characterized as neither completely segmented from the US nor completely integrated with it. Results further suggest possible orthogonality in the contributions of current US and lagged own-country returns on Frontier countries’ mean returns.
Studies on Phytochemical Profile and Antibacterial Activity of Ethanolic Leaf Extract of Tabebuia rosea (Bertol.) DC.

Tabebuia rosea (Bertol.) DC. is commonly grown as an ornamental tree for its grand and majestic pink or purple flowers which offer different shades of colours. The wood is valuable and used in the manufacture of furniture. The preliminary phytochemical screening of the leaves revealed the presence of saponins, tannins, phenolic acids, flavonoids and alkaloids. In vitro antibacterial studies on the ethanolic leaf extracts were carried out on ten medically important bacterial strains, including Salmonella typimurium, Pseudomonas aeruginosa, Klebsiella pneumonia, Escherichia coli, Psudomonas sp. Staphylococcus epidermis, Micrococcus luteus, Staphylococcus aureus, Streptococccus sp. and Bacillus subtilis, which were procured from the Microbial Type Cultrue and Collection, Chandigarh, India, using agar disc diffusion method. The bacterial strains were exposed to the following four different concentrations of extracts: 50mg/ml, 100mg/ml, 200mg/ml and 300mg/ml solvent. The results of our antibacterial assay revealed that the extract showed good inhibitory activity against all the tested pathogens compared with standard antibiotics like streptomycin and penicillin. The inhibitory activities were found to be dose dependent.
The Role of the π Acceptor Character of Polypyridine Ligands on the Electrochemical Response of Co(II) Complexes and its Effect on the Homogenous Electron Transfer Rate Constant with the Enzyme Glucose Oxidase

In this work the electrochemical behavior of Co(II) com-plexes with substituted bidentate and tridentate polypyridine ligands [CoL3](BF4)2 and [CoL´2](NO3)2 in 0.1M phosphate buffer pH 7.2 was studied. A reversible electrochemical process Co(II)Ln → Co(III) Ln +1eˉ was observed. A linear relationship between the redox poten-tial (E°) and the pKa of the non-coordinated ligand was found. It was demonstrated by DFT calculations the use of pKa value as a descriptor of the π acceptor character of a ligand. The electrochemical response in the presence of glucose oxidase (GOx) was also studied. It was pos-sible to establish a tendency between the homogeneous electron trans-fer rate constant (ks) and the redox potential (E°) for the compounds studied in this work and other examples taken from the literature.