Miracle-dz/UniFAR-FTUs huggingface dataset:
Information Technology Integration in a Postmerger Environment

In this qualitative phenomenological study, we explore information technology integration in a postmerger environment from the perspective of midlevel and first-line managers. Interviews were conducted with 14 participants to identify factors affecting IT integration. The process school, which blends the strategic and organizational schools of thought, formed the basis of our study. Participants’ perception of loss emerged as a central theme; participants perceived the merger in terms of loss similar to the loss of a family member. The results of this study provide guidance that enables managers to mitigate negative issues and increase the possibility of a successful merger.
Slaying the Great Green Dragon: Learning and Modelling Iterable Ordered Optional Adjuncts.

Author(s): Fowlie, Meaghan | Advisor(s): Stabler, Edward P | Abstract: Adjuncts and arguments exhibit different syntactic behaviours, but modelling this difference in minimalist syntax is challenging: on the one hand, adjuncts differ from arguments in that they are optional, transparent, and iterable, but on the other hand they are often strictly ordered, reflecting the kind of strict selection seen in argument application. The former properties mean the derivation proceeds the same way whether or not the adjuncts are present, but the latter means the derivation must know which adjuncts have already been adjoined, to avoid adjoining new ones out of order. This dissertation proposes a precise minimalist model of adjuncts that accounts for both behaviours. The second half considers the learnability of two closely related properties of adjuncts: their optionality and iterability. Many formal learning models predict a relationship between optionality and iterability, and any learning model of human language needs to be able to generalise from limited to indefinite repetition, since many languages include such sentences as "I really really really . really love linguistics". All of the formal models I examine make this generalisation. A study of people learning an artificial language indicates that people also make this generalisation.
Interactive Feasibility-based CAAD System for Infrastructure and Open Space Planning in Housing Project Design

The decision support system developed in this research is aimed to the conceptual scheme of project focusing on infrastructure planning and open space design in the architectural context for housing project. Alternative design sets are provided within the limitations, and possibilities to be further evaluated appropriately. This system helps architects and developers to analyze relationships of physical environment, architectural requirements and the overall of project-related factors with real-time cost estimation. Factors for cost estimation derived from the beginning to the end of project will be manipulated simultaneously. Architects and developers can use this design simulation to address the physical data with real-time cost estimation, provide alternative results, and design evaluation for overall project’s feasibility. The software of our research is not just a tool for design & planning automation in feasibility analysis. It will be an interactive decision support system for both developers and planners aspects. The system was developed by SketchUp Ruby Application Programming Interface. The results will be presented into two ways. Firstly, 2D and 3D modeling will be used for interactive visualization in design and planning of the beginning process. Subsequently, numbers and additional factors in details will be used to show relationship between architectural environment and feasibilitybased information to help architects and developers collaboratively analyze the land use planning and open space design for housing project. In evaluation process, the developed software is tested with the project preceding and the future project of Bangkok area under constraints and regulations of Building Control Act of Thailand. In conclusion, this system will make effectiveness in design process and management of the construction knowledge. The decision support systems should be designed to makes explicit use of both planning analysis aspect and knowledge-based decision making.
Rapid And Efficient Multi Objective Design Space Exploration Methods In High Level Synthesis Of Computation Intensive Applications

Design Space Exploration (DSE) is an indispensable segment of the High Level Synthesis (HLS) design process. Moreover, the enormous increase in complexity of the recent Very Large Scale Integration (VLSI) circuits has only been possible due to use of advan ced DSE techniquesduring HLS process. This dissertation presents four automated optimization algorithms and methodologies that are capable to handle various multi-objective problems during design space exploration and high level synthesis of computation intensive applications. Algorithmic solutions to four different branches of DSE problems have been proposed in this dissertation viz. a) Solution to power-performance-area/cost trade-off of Digital Signal Processing (DSP) kernels using priority factor process which also includes deriving analytical mathematical model for modern performance parametric frameworks b) Solution to area-performance-power tradeoff/ power-performance-area tradeoff of DSP kernels using hybridization of fuzzy algorithm and vector design space technique with Self-Correction Scheme c) Solution to dual parametric optimization using efficient multi structure genetic algorithm for integrated scheduling and allocation and d) Solution to control step bound static power optimization using power gradient methodology for integrated scheduling and allocation. Some techniques proposed are equipped with pipelined execution time parameter (based on need), in addition to hardware area, power and cost depending on the user’s objective for exploration of a final solution in a short time. In addition to architecture exploration capability, rapid automated circuit generation of DSP kernels is also possible in a short time for verification and synthesis in Field Programmable Gate Array (FPGA) platforms. The proposed exploration approaches are applied to custom data intensive applications application specific processors/custom processors) or standalone Application Specific Integrated Circuits (ASIC’s). Results of the experiments for proposed approaches on all the standard DSP benchmarks have indicated improvements either in terms of exploration runtime, quality of final solution, reduced execution time, power and area or a multiple combination of all factors when compared to recent approaches.
Virtual Reality and its Usage in Psychotherapy

Psychological treatment that makes use of an advanced technology like virtual reality is an option that only a very small amount of people know about all over the world. The medical as well as the technological area of expertise normally require a person to be very educated in those areas to cover their related basics. Hence, this paper gives an introduction into the most important characteristics of virtual reality, treatment methods commonly used in psychotherapy and how these two components are combined perhaps leading to even more therapy type options to treat mental disorders in the future.
Training Programs for Art and Design Learning in the Virtual Studio

Computers are very common drawing tools at university design studios but their potential as training tools in arts and design has not been explored in depth. In arts and design the learning process is based on ‘knowing in action’ (Schön 1983). Therefore, training is the keystone of the learning process in arts and design. This action takes the form of a reflective practice based on the manipulation of a media where each media has its own possibilities, its own limits in communicating design ideas or artistic concepts. With the introduction of digital media in the design studio, it is expected that reflective practices in design learning will experience a qualitative change. However, currently there is little understanding of how to use the digital and virtual media in a design studio as a learning tool (Szalapaj 2001), nor of the use of design training programs. In this paper the use of training programs in an experimental design course at a university level, is discussed. This experience was carried out as a PhD research experiment at the Faculty of Architecture and Arts of the Universidad de Los Andes in Merida, Venezuela. The training programs discussed here were designed for an eight week introductory design course in a virtual design studio. The programs were written in VRML and conceived as a virtual design training environment. Each program was designed for a specific design exercise, based on a learning strategy and an interactivity model proposed for object manipulation in design training. A comparative analysis of the data gathered from the course was made of training exercises done with a Cad program and with the training programs and crossing information with other sources. The experiment shows that the training programs, their learning strategy and the interactivity model proposed were successful in guiding the scope of the design exercises during the training process.
Evaluation of the antibacterial activity of the essential oil and antioxidant activity of aqueous extracts of the Eucalyptus globulus Labill . leaves

The purpose of this study was valorizing Eucalyptus globulus Labill. (Myrtaceae) residues in terms of phenolic compounds extracted to aqueous extract and essential oils extract to leaves. The leaves were studied are collected in Gardunha Mountains near Alpedrinha (Portugal). Essential oil was extracted of leaves in Clevenger apparatus and the hot-water was used for tested the phenolic content. The essential oils were obtained and analyzed by GC-MS and tested for antibacterial activity using a Staphylococcus aureus, Escherichia coli and Pseudomonas aeruginosa. These tests were performed using two different techniques: agar diffusion with cylindrical cavities and vapor diffusion in agar plate. The aqueous extract is submitted to study antioxidant activity. This way the phenolic content was determined by the Folin-Ciocalteu method, flavonoid content was also determined by colorimetric method and antioxidant activity was measured by DPPH method. These results show that E. globulus leaves have a high amount of compounds derived from monoterpene allowing show good antibacterial activity. For other side the aqueous extract has a very strong antioxidant activity and been possible to identify six components by HPLC-DAD: gallic, caffeic and ellagic acids, rutine, luteolin and quercetin. To our knowledge this is the first report on flavonoid content, antioxidant activity and composition of the aqueous phase from E. globulus leaves.
Biofuel co-products as swine feed ingredients : Combining corn distillers dried grains with solubles ( DDGS ) and crude glycerin

The objective of this study was to examine the effects of combining corn DDGS with crude glycerin on growth performance and carcass traits to determine if a high level of crude glycerin supplementation could counteract the impact of corn DDGS on fatty acid profile of pork adipose. The experimental design was a 3 × 2 factorial arrangement of treatments with three levels of corn DDGS (0, 150, or 250 g/kg diet) and two levels of crude glycerin (0 or 100 g/kg diet). Pigs were fed one of six experimental diets over a 3-phase feeding program for 84 d with each diet within phase formulated to be equal in metabolizable energy (ME) and standardized ileal digestible lysine (SID Lys). Pigs and feeders were weighed every 14 d to determine average daily gain (ADG), average daily feed intake (ADFI) and feed efficiency (G:F). On d-84, pigs were weighed and scanned using real-time ultrasound to obtain fat depth and longissimus dorsi muscle (LM) area. Pigs were then harvested at a commercial abattoir and a sample of adipose was collected from the jowl of each pig. Because there was no interaction between level of corn DDGS and crude glycerin fed, only main effects are presented. Pig performance and carcass characteristics were not affected by dietary treatment (P≥0.05). Differences in fatty acid composition were present due to dietary treatment. Increasing the level of corn DDGS reduced concentration of both saturated fatty acids (SFA) and monounsaturated fatty acids (MUFA) and increased the concentration of polyunsaturated fatty acids (PUFA) in pork jowl adipose (P<0.01). Pigs fed 100 g crude glycerin/kg diet had higher concentrations of MUFA and lower concentrations of PUFA (P<0.05). Diets containing up to 250 g corn DDGS/kg and 100 g crude glycerin/kg support growth of finishing pigs. However, increasing dietary levels of corn DDGS increased the concentration of unsaturated fatty acids in pork jowl adipose and this was not ameliorated by feeding 100 g/kg crude glycerin. © 2015 Elsevier B.V. All rights reserved. Abbreviations: ADFI, average daily feed intake; ADG, average daily gain; BW, body weight; d, day; CP, crude protein; DDGS, dried distillers grains with solubles; EE, ether extract; G:F, feed efficiency (ADG/ADFI); LM, longissimus dorsi muscle; Lys, lysine; ME, metabolizable energy; MUFA, monounsaturated fatty acids; PUFA, polyunsaturated fatty acids; SFA, saturated fatty acids; SBM, soybean meal; SID, standardized illeal digestibility; Thr, threonine; Trp, tryptophan. ∗ Corresponding author. Tel. : +1 309 438 7091; fax: +1 309 438 5653. E-mail address: pjlamme@ilstu.edu (P.J. Lammers). http://dx.doi. org/10.1016/j.anifeedsci. 2014.12. 013 0377-8401/© 2015 Elsevier B.V. All rights reserved. P.J. Lammers et al. / Animal Feed Science and Technology 201 (2015) 110–114 111
Phytochemical analyses , antibacterial and antifungal activity of leaves from Abutilon indicum ( L . )

Phytochemical analyses of different extracts of Abu tilon indicum (L.) Sweet was analysed. Leaves were extracted successively with different solvents viz., Petroleu m ether, chloroform, ethyl acetate and methanol. Th e antimicrobial activity of different extracts was carried out agai nst Staphylococcus aureus, Streptococcus pyogenes, E terococcus faecalis, Escherichia coli, Proteus vulgaris, Pseud omonas aeruginosa, Vibrio cholerae, Candida albican s, Candida parapsilosis and Candida tropicalis by using the ex tent of the inhibitory zone, Minimum Inhibitory Con ce tration (MIC), Minimum Bactericidal Concentration (MBC) and Minimum Fungicidal Concentration (MFC) were also determined. The ethyl acetate extract of Abutilon i ndicum showed the highest antimicrobial activity ag ainst all the bacterial and fungal strains tested than the other solvent extracts. The mean zones of inhibition prod uce by the extracts in agar diffusion assays against the teste d bacterial strains ranged from 7.0 to 23.1 mm. The lowest MIC (62.5 and 125 μg/ml), MBC (125 and 1000 μg/ml) and MFC values (500 and 1000 μg/ml) were reco ded. The ethyl acetate extract of A. indicum leaves showed the pre sence of strong phytochemicals viz., flavonoids, ph enolic compounds, tannins, steroids, glycosides, saponins, terpenoids and alkaloids than other extracts. The highest mean of zone inhibition (23.1 mm) was observed in the et yl acetate extract of A. indicum against Staphyloc occus aureus. These finding suggest that the ethyl acetate extrac t of A. indicum can be used as an antimicrobial sub stance for the treatment of bacterial and fungal infections.
Structural stability and phase transition of Bi 2 Te 3 under high pressure and low temperature

Structural stability and phase transition of topological insulator Bi2Te3 were studied via angle-dispersive synchrotron radiation X-ray diffraction under high pressure and low temperature condition. The results manifest that the R-3m phase (phase I) is stable at 8 K over the pressure range up to 10 GPa and phase transition occurs between 8 K and 45 K at 8 GPa. According to the Birch-Murnaghan equation of state, the bulk modulus at ambient pressure B0 was estimated to be 45 ± 3 GPa with the assumption of B′0 = 4. The structural robustness of phase I at 8 K suggests that the superconductivity below 10 GPa is related to phase I. Topological properties of superconducting Bi2Te3 phase under pressure were discussed.
A Real-time Fast Incremental SLAM Method Using Laser Range Sensor for Indoor Flying

Recently, numerous efficient approaches to simultaneously localization and mapping (SLAM) based on ground robots have been proposed. However, we may encounter difficulties when applying the algorithms to those systems with higher real-time requirements, such as micro aerial vehicles (MAVs). This paper presents a fast and effective solution to SLAM problems, enables a quadrotor to autonomously explore unknown indoor environments. We propose a probabilistic approach to estimate the position. The estimation error is reduced by the evaluation function with a penalty term. Furthermore, Bayesian method is used to update the occupancy probability grid map and provides an effective way to solve sensor uncertainty. Experimental results carried out by using a laser range sensor on a quadrotor platform in indoor environment show that the incremental SLAM strategy has a superior performance.
Parameter Identification Method for Lithium-Ion Battery Model with Multi Frequency AC Signal Injection

In order to obtain the parameters of the lithium-ion power battery of electric vehicle, a method of parameter identification for multi frequency AC signal injection battery is presented. The method is based on the exact model of the battery model and the theory of solving equations. Firstly, the battery model is adopted, which can meet the analysis of the running time, the steady state characteristics and the transient response of the battery. Next, charge-discharge of the battery and parameter identification test circuit are built. Then, the theory of parameter identification method for the battery model with multi frequency signal injection is analyzed. Finally, the least square curve fitting was used to obtain the relationship between the identified data and state of charge (SOC). The fitting results show that the parameter identification method is effective, and the improved model has a great influence on the identification results. The fitting function can be chosen to approximate the parameter identification data, which is easy to achieve by using the accurate battery model, and the parameters of the equivalent model of the battery can be more realistic.
UNSD/FAO Joint Workshop on Integrated Environmental and Economic Accounting for Fisheries

The workshop reviewed and discussed draft guidelines on integrated environmental and economic accounting for fisheries (SEEAF) and provided guidance for their finalization. It also provided a forum for the sharing of experiences with current fisheries accountings. Furthermore, the workshop identified measures to facilitate future implementation of SEEAF with regard to data collection and compilation, institutional arrangements, pilot projects and external support. CONTENTS INTRODUCTION WORKSHOP OBJECTIVES NEED FOR AND USES OF FISHERIES ACCOUNTS EXPERIENCES WITH CURRENT FISHERIES ACCOUNTS (SNA) BOUNDARY BETWEEN PRODUCED AND NON-PRODUCED ASSETS ECONOMIC AND NON-ECONOMIC NON-PRODUCED ASSETS DEPLETION DEGRADATION VALUATION FISHERIES MANAGEMENT AND ENVIRONMENTAL PROTECTION EXPENDITURES GUIDING PRINCIPLES MEASURES TO FACILITATE THE IMPLEMENTATION OF INTEGRATED FISHERIES ACCOUNTS APPENDIXES
Merging Landsat and SPOT digital data using stochastic simulation with reference images

There is a wide range of systems providing digital satellite imagery with different spatial and spectral resolutions. But, unfortunately, these resolutions are in most cases opposite; i.e., the high-resolution sensors have low spectral resolution whereas the multiespectral sensors have good spectral resolution but bad spatial resolution making their use in detailed applications difficult. The problem is solved using digital image merging procedures. The main objective of these methods is to obtain synthetic images that combine the advantage of the high spatial resolution of one image with the high spectral resolution of another image. Ideally, the method used to merge data sets with high-spatial resolution and high-spectral resolution should not distort the spectral characteristics of the high spectral resolution data. The classical methods of merging procedures (PCA, IHS, HPS, etc.) present several drawbacks. The objective of this paper is to present a geostatistical merging methodology based on direct sequential cosimulation with reference images (Carvalho et al., 2006). With the stochastic simulation one generates a high spatial resolution image with the characteristics of the of the higher spectral resolution image. It is an iterative inverse optimization procedure that tends to reach the matching of an objective function by preserving the spectral characteristics and spatial pattern, as revealed by the variograms, of the higher-spectral resolution images both in terms of descriptive statistics and band correlation coefficients. The method was applied to Landsat TM and SPOT-P images. The results were compared with the original Landsat image and the images provided by classical merging procedures.
A Comparison of MCMC Algorithms for the Bayesian Calibration of Building Energy Models for Building Simulation 2017 Conference

Random walk Metropolis and Gibbs sampling are Markov Chain Monte Carlo (MCMC) algorithms that are typically used for the Bayesian calibration of building energy models. However, these algorithms can be challenging to tune and achieve convergence when there is a large number of parameters. An alternative sampling method is Hamiltonian Monte Carlo (HMC) whose properties allow it to avoid the random walk behavior and converge to the target distribution more easily in complicated high-dimensional problems. Using a case study, we evaluate the effectiveness of three MCMC algorithms: (1) random walk Metropolis, (2) Gibbs sampling and (3) No-UTurn Sampler (NUTS) (Hoffman and Gelman, 2014), an extension of HMC. The evaluation was carried out using a Bayesian approach that follows Kennedy and O’Hagan (2001). We combine field and simulation data using the statistical formulation developed by Higdon et al. (2004). It was found that NUTS is more effective for the Bayesian calibration of building energy models as compared to random walk Metropolis and Gibbs sampling.
Earthworm Communities and Activities in Rice Ecosystem under Different Soil Salinity Levels in Northeast Thailand

Soil salinity is one of the most serious agricultural problems. This problem generates low soil productivity and soil ecosystem. Earthworms are one of the most important soil organisms in soil ecosystem (maintaining soil structure and the fertility of soil). Soil salinity has become one of the major determinants of crop productivity in Northeast Thailand. The aim of present study was size and composition of earthworm communities on related soil properties and rice growth under different soil salinity; 2 levels 1) low soil salinity (EC 2-4 dS/m) and 2) moderate soil salinity (EC 4-8 dS/m). Soil and earthworm cast were collected to analyze for soil chemical properties. The results showed that there was significant difference between density and size of different species of earthworms in different level of soil salinity. In rice ecosystem in moderate salt-affected area the earthworm species Drawida beddardi was the only one found at 95 days after rice sowing, while in low salt affected area the earthworm species, Glyphidrilus chiensis and Drawida beddardi were the most common species found at 45 days after rice sowing. Earthworms improve soil properties and rice growth rate. Oryza sativa L. (Khao Dawk Mali 105 and RD6) growth decreased with increasing levels of soil salinity.