Miracle-dz/UniFAR-FTUs huggingface dataset:
The concept of decision support system structures for the distribution center

Received: 18 July 2010 Abstract Accepted: 1 September 2010 The paper presents the concepts and the basic structure of decision support system in the form of an additional layer of an ERP system. Any decision can be interpreted as a response to the properly formulated question that meets the existing constraints. Novel mechanism was introduced to the automatic generation of questions in the form of CLP (Constraint Logic Programming) predicates or MIP (Mixed Integer Programming) models. As an illustrative example, the optimization problem of allocation of pallets in distribution center has been presented.
Hubungan antara asimetri informasi dan manajemen laba dengan mempertimbangkan adanya ketidakpastian lingkungan sebagai variabel moderating akan diteliti dalam tulisan ini. Teori perusahaan (misalnya: Child, 1972; Williamson, 1975) mengakui bahwa ketidakpastian lingkungan mempunyai constraints yang t

The purpose of this study is to examine the influence of uncertainty environment to the relationship between information asymmetry and earnings management. The number from board of commissioners and background of audit committee used as control variable. Sample in this study consists of 103 manufacture companies listed in Indonesian Stock Exchange that publish annual report in year 2012. Analysis technique in this study uses multiple analysis regression consists of three regression models to examine the influence of uncertainty environment to the relationship between information asymmetry and earnings management.The empirical result of this study show that information asymmetry have positively significant influenced on earnings management with share price volatility as a measured of information asymmetry. Uncertainty environment as moderating variable measured by complex environment have positive significant on relationship between share price volatility and earnings management while the dynamic environment have significant influenced on relationship between information asymmetry and earnings management.Abstract Berbahasa Inggris.
Use of natural fluorescent triacyglycerols from Parinari glaberrimum to detect low lipase activity in Brassica napus seedlings

Lipases (triacylglycerol acyl hydrolass EC 3.1.1.3) are defined as enzymes that catalyse the hydrolysis of triacylglycerols, releasing long-chain fatty acids. Germinating oilseeds have been explored as a possible source of lipases for biotechnological processing of oils and fats. However, purification and sensitive assays to detect a true lipase activity in plant cellular homogenates and culture media are required. The main aim of this study was to design a convenient, specific, sensitive and continuous lipase activity assay using natural long-chain triacylglycerols (TAGs). Oil was extracted from Parinari glaberrimum seed kernels and the purified TAGs were used as a substrate for detecting low levels of lipase activities. An increase in the fluorescence was observed, which is due to the parinaric acid released by various lipase activities. This increase in the fluorescence intensity is linear with time and proportional to the amount of lipase added. This new method, performed under non-oxidative conditions, was applied successfully to detect low lipase levels in crude protein extracts from plant seeds. Keywords : Brassica napus , fluorescent lipids, lipase assay, plant lipases African Journal of Biotechnology Vol. 12(23), pp. 3719-3723
Cholesteryl Pullulan Nanoparticles-Encapsulated TNF-α: An Effective Mucosal Vaccine Adjuvant Against Influenza

We encapsulated tumor necrosis factor-α (TNF-α), a major proinflammatory cytokine, into cholesteryl pullulan (CHP) to prepare TNF/CHP nanoparticles. In this chapter, the immune response-enhancing capability of the nanoparticles to act as a vaccine adjuvant against influenza is described. TNF/CHP nanoparticles showed excellent storage stability, and they enhanced host immune responses to external immunogens. We applied the nanoparticles in a mouse model of influenza virus infection to investigate their adjuvant ability. Nasal administration of TNF/CHP nanoparticles combined with a conventional split vaccine was effective at inducing systemic IgG 1 as well as mucosal IgA, and it protected mice against a lethal challenge of A/PR/8/34 (H1N1) influenza virus. Mechanistic studies showed that the nanoparticles enhanced antigen uptake by dendritic cells (DCs) and moderately induced the expression of inflammation-related genes in nasal-associated lymphoid tissue (NALT), leading to the activation of both B and T cells. A preliminary safety study revealed no severe toxicity to TNF/CHP nanoparticles. Slight-to-moderate influences in nasal mucosa were observed only after repeated administration and they were reversible. Our data show that TNF/CHP nanoparticles effectively enhance both humoral and cellular immunity via nasal administration and could be a potential adjuvant for vaccines against infectious diseases like influenza. and B/Brisbane/60/2008. The nasally administered TNF/CHP nanoparticles combined with the IVV induced significant levels of
Nonhomogeneous products and the law of one price

Law of One Price (LOP) is important in the theory of international trade. It is important in LOP studies to have data that accurately represents homogeneous products (i.e., the product in one country has the same product characteristics as the product in another country). We present a theoretical model that determines fresh grapefruit prices Free on Board (FOB) at the packinghouse. The first order conditions show that the FOB packinghouse prices are equal for products with the same product characteristics. The theoretical conditions show a difference in FOB prices when the product characteristics are different. The product characteristics that are varied include packing costs and pack-out rates. The results from a nonlinear programming optimization routine demonstrates the importance of using data that accurately represents homogeneous products for LOP studies. Different packing costs and pack-out percentages are shown to cause different FOB packinghouse prices for fresh grapefruit destined for domestic and export markets. lJEL Classification: Q11, Q13, F14r. © 2007 Wiley Periodicals, Inc. Agribusiness 23: 407-420, 2007.
Nutrient management and water use efficiency in cereals and legumes

Organic and inorganic fertiliser sources must be managed to minimize nutrient losses and protect water sources. With increasing pollution and increasing competition for water from increased urban usage of water and industrial demand for water, the net quantity of water that will become available for agriculture is bound to get reduced progressively in all the developing countries. Among various factors which affect the water lise, fertiliser application is an important one. Nutrient deficiencies and toxicities can affect WUE by altering yield, evaporation and transpiration. In irrigated agriculture, the relations between water and soil fertility are very important. Various studies have clearly pointed out the positive interaction between the nutrients and water use efficiency. So proper nutrient management is essential for optimising water use efficiency. The impact of nutrient management on water use efficiency has been studied in several crops and are reviewed here under.
Evaluating The Financial Performances Of Privately Owned Deposit Banks In Turkey By Topsis Method

The measurement of financial performance, TOPSIS method is often used in many sectors. Evaluation of the performance of the banking sector with the financial and economic development has become a necessity in terms of competitiveness. The aim of this study is to evaluate privately owned deposit banks in the financial performance of the year 2012-2014 operating in Turkey by multi-criteria decisionmaking methods of TOPSIS (Technique for Order Preference by Similarity to Ideal Solutions). In the analysis; making use of the most commonly used criteria in the literature given equal weights to these criteria and performance scores were obtained.
Two-dimensional bispectral analysis of drift wave turbulence in a cylindrical plasma

Bispectral analysis and multichannel measurement are becoming attractive investigation tools in plasma fluctuation studies. In the Large Mirror Device-Upgrade, the measurement of fluctuations in the ion saturation-current with a 64-channel poloidal Langmuir probe array was performed. The two-dimensional (2D) (poloidal wave number and frequency) power spectrum showed a number of pronounced peaks and broadband fluctuations in the poloidal wave number-frequency space. We applied 2D bispectral analysis, which considers both the matching conditions of poloidal wave number and frequency, to the spatiotemporal waveform, and confirmed the nonlinear couplings between coherent-coherent, coherent-broadband, and broadband-broadband fluctuation components. More than ten peaks were revealed to have as their origins only three original parent modes generated in the plasma. Comparison between the theoretical estimate and experimental observation for the bicoherence showed good agreement.
Microbial ecology and effectiveness of different starter cultures in yoghurts produced from whole cow milk and soybeans

The microbial ecology and acceptability of milks and yoghurts produced from whole cow milk and soybeans were carried out. This was done to determine the acceptability of milks and yoghurts upon post fermentation at room temperature (31±2°C). Thr ee different starter cultures from different sources were inoculated on whole cow milk (100%), whole soymilk (100%) and cow-soymilk composite (1:1). While other whole cow milk (100%) and whole soymilk (100%) were left without inoculation. They were all fermented for 6, 24 and 48 hours. Their pH, titrable acidity, microbiological properties and sensory attributes were evaluated. Sensory attributes of fresh milks showed no significant (p > 0.05) difference. However, there was significant (p < 0.05) variation for all set of yoghurts and at 48 hours they were disliked extremely. pH of milks ranged from 5.80 - 6.80, titrable acidity 0.02 - 0.06%, total plate count 1.5 x 105 - 21.07 x 105 cfu/ml from 0 to 24 hours fermentation. While pH of yoghurts also ranged from 3.30 – 6.90, titrable acidity 0.04 - 1.09%, total plate count 0.0 x 105 - 51.76 x 106 cfu/ml from 0 (i.e. 6 hours) to 48 hours fermentation times. The microbial ecology of interactions with milks and yoghurts are Streptococcus sp, Lactobacillus sp, Micrococcus sp, Bacillus sp, Staphylococcus aureus, Mucor sp, and Yeast cells. Good sensory attributes were observed at 0 (i.e 6) hours for milks and at 6 and 24 hours for yoghurts. Yoghurt samples with formulations cow milk fermented with commercial starter were found slightly more acceptable followed by the ones fermented with indigenous starter (Kindirmo) and lastly Nagge yoghurt.
CHARACTER RECOGNITION APPROACH BASED ON ONTOLOGY

In this paper, we present a general description of a new character recognition process based on ontology, semantically annotated by a domain expert. Such process is based essentially on a matching step between two ontologies, the first represents a domain ontology, containing the typographical description of different characters represent an alphabet of a well definite language (Latin for example), the second ontology, describes the document in question in the form of concepts where each concept represents a grapheme located in a -defined order in the document. In this work we consider that there is a robust extraction module of primitives that will serve us to instantiate our ontology, by the different graphemes and their spatial relationships that exist in the processed document.
Embedded Implications and Minimality in ASP

Disjunctive logic programs under the answer sets semantics play a very significant role in knowledge representation and non monotonic reasoning. As the semantics has been extended to wider classes of programs, it has been observed that implication in the body of rules can be interesting, both for theoretical and practical issues. Here we present an extension of the answer sets semantics to programs with embedded implications in the body of the rules. Since the answer sets of these extended programs are not necessarily minimal, we introduce the notion of rigid programs as a condition that assures the minimality of answer sets for arbitrary theories. We also introduce an extended family of logic programs with restricted use of implication in the body of the rules and address some practical knowledge representation issues through this extension.
Mne specific factors of corporate capital structure: comparative analysis in terms of financial resources demand and supply

This paper investigates corporate capital structure of multinational enterprises. Its core subject is focused on corporate capital structure defining factors that are specific for MNE rather than for domestic corporations. Substantial part of scientific literature concentrates on country specific and firm specific factors of corporate capital structure with most research devoted to domestic corporations. The main goal of our paper is to discover among plenty of corporate capital structure factors those that are specific for MNE and to develop a new approach for analyzing these factors in terms of financial resources demand and supply. There are some corporate capital structure factors that influence directly and some that have indirect influence while there is also another set of factors having both direct and indirect influence on indebtedness. Different theoretical and empirical research confirm different directions. Methodology of our study is based on analysis of two fundamental market driving forces that are demand and supply. Their influence on corporate capital structure is of a primary origin and that is why the suggested approach is to our mind theoretically significant and practically important. Demand factors imply that a corporation creates demand for financial resources and its capital structure is defined internally. Supply factors imply an external capital structure since it is created by external investors’ supply of financial resources. On empirical level, we use the primary data of corporate financial statements to analyze the leverage of MNE based in different countries and representing different industries. The key results of our study show that the main MNE specific factors of capital structure include such demand factors as multinationality level, assets tangibility and political risk. The first two are firm specific factors that can influence corporate capital structure either directly or indirectly according to different theories and empirical studies. Political risk is a country specific factor which affects MNE indebtedness level directly. Exchange rate risk is another factor of MNE capital structure substantial influence. It can be either demand or supply factor that brings mostly to indirect influence on corporate indebtedness level. These factors obviously affect domestic corporations capital structure as well but to a much lesser extent. We also consider a set of behavioral factors to be essential for MNEs though they also affect domestic corporations.
Mechanical and thermal properties of PP/PBT blends compatibilized with triblock thermoplastic elastomer

Abstract A linear triblock copolymer, poly(styrene-b-etylene/butylene-b-styrene)(SEBS) thermoplastic elastomer (TPE) grafted with maleic anhydride was used for compatibilization of PP/PBT blends. PP/PBT blends of different mass ratios 60/40, 50/50, 40/60 were mixed with 2.5, 5.0 and 7.5 wt. % of SEBS copolymer in a twin screw extruder. Differential scanning calorimetry and dynamic mechanical analysis were performed to define the phase structure of PP/PBT blends. TPE with a rubbery mid-block shifted the glass transition of PP/PBT blend towards lower temperatures, and significant decrease the crystallization temperature of a crystalline phase of PP component was observed. The influence of the amount of compatibilizer and the blend composition on the mechanical properties (tensile and flexural strengths, toughness and moduli) was determined. Addition of 5 wt. % of a triblock TPE led to a three-fold increase of PP/PBT toughness. A significant increase of impact properties was observed for all materials compatibilized with the highest amount of SEBS copolymer.
Power-Energy Simulation for Multi-Core Processors in Bench-marking

A R T I C L E I N F O A B S T R A C T Article history: Received: 21 December, 2016 Accepted: 19 January, 2017 Online: 28 January 2017 At Microarchitectural level, multi-core processor, as a complex System on Chip, has sophisticated on-chip components including cores, shared caches, interconnects and system controllers such as memory and ethernet controllers. At technological level, architects should consider the device types forecast in the International Technology Roadmap for Semiconductors (ITRS). Energy simulation enables architects to study two important metrics simultaneously. Timing is a key element of the CPU performance that imposes constraints on the CPU target clock frequency. Power and the resulting heat impose more severe design constraints, such as core clustering, while semiconductor industry is providing more transistors in the die area in pace with Moore’s law. Energy simulators provide a solution for such serious challenge. Energy is modelled either by combining performance benchmarking tool with a power simulator or by an integrated framework of both performance simulator and power profiling system. This article presents and asses trade-offs between different architectures using four cores battery-powered mobile systems by running a custom-made and a standard benchmark tools. The experimental results assure the Energy/ Frequency convexity rule over a range of frequency settings on different number of enabled cores. The reported results show that increasing the number of cores has a great effect on increasing the power consumption. However, a minimum energy dissipation will occur at a lower frequency which reduces the power consumption. Despite that, increasing the number of cores will also increase the effective cores value which will reflect a better processor performance.
USING AUGMENTED REALITY TO CONSTRUCT PEDAGOGICAL MATERIALS FOR ELEMENTARY SCHOOL STUDENTS

Computing Museum of State University of Ponta Grossa is an extension program and has been developing activities which relates teaching-learning process to new technologies. Through augmented reality kit which was developed by computing students as part of their final essay in 2010, the Museum presents this technology in workshops to the general community in Ponta Grossa city. The project presented here aims at constructing new pedagogical materials by using augmented reality and improving materials which were already constructed.
Biogas Quality across Small-Scale Biogas Plants: A Case of Central Vietnam

Production of bioenergy by the fermentation reaction is gaining attraction due to its easy operation and the wide feedstock selection. Anaerobic fermentation of organic waste materials is generally considered a cost-effective and proven technology, allowing simultaneous waste management and energy production. Small-scale biogas plants are widely and increasingly used to transform waste into gas through anaerobic fermentation of organic materials in the developing world. In this research, the quality of biogas produced in small-scale biogas plants was evaluated, as it has a direct effect on its use (as fuel for biogas cookers), as well as being able to influence a decision making process over purchasing such technology. Biogas composition was measured with a multifunctional portable gas analyser at 107 small-scale biogas plants. Complementary data at household level were collected via the questionnaire survey with the owners of biogas plants ( n = 107). The average daily biogas production equals 0.499 m 3 , not covering the demand of rural households which are using other sources of energy as well. Related to the biogas composition, the mean content of methane (CH 4 ) was 65.44% and carbon dioxide (CO 2 ) was 29.31% in the case of biogas plants younger than five years; and CH 4 was 64.57% and CO 2 was 29.93% for biogas plants older than five years. Focusing on the age of small-scale biogas plants there are no, or only minor, differences among tested values. In conclusion, the small-scale biogas plants are sustaining a stable level of biogas quality during their life-span.
A New Technology for Smooth Migration from Traditional Databases to Unstructured Databases

Using big-data technologies for more comprehensive corporate data analysis requires a migration of data storage from conventional databases to unstructured ones. As a result, technologies for smooth database migration are particularly critical for corporates. This paper proposes a technique for smooth migration from conventional databases to big-data systems, which is validated by using a traditional corporate as an application example. This paper first briefly introduces the database migration processes and then describes the solutions for the related technique problems in conventional database migration in details. At last, the proposed approach is validated using a corporate application example.
A Wideband Low Jitter Frequency Synthesizer Modeling and Simulation

This paper presents modeling and simulation of a wideband low jitter frequency synthesizer. The proposed system uses two phase-locked loops (PLLs) connected in cascade. The first PLL uses a voltage-controlled crystal oscillator (VCXO) to eliminate the input jitter and the second one is a wideband PLL. One important advantage of using the proposed system is that it uses only one VCXO for multiple carrier frequencies, while reducing the jitter considerably. The MATLAB Simulink simulation results show that the jitter could be minimized while working at different carrier frequencies.
USING STEREO VISION TO SUPPORT THE AUTOMATED ANALYSIS OF SURVEILLANCE VIDEOS

Video surveillance systems are no longer a collection of independent cameras, manually controlled by human operators. Instead, smart sensor networks are developed, able to fulfil certain tasks on their own and thus supporting security personnel by automated analyses. One well-known task is the derivation of people’s positions on a given ground plane from monocular video footage. An improved accuracy for the ground position as well as a more detailed representation of single salient people can be expected from a stereoscopic processing of overlapping views. Related work mostly relies on dedicated stereo devices or camera pairs with a small baseline. While this set-up is helpful for the essential step of image matching, the high accuracy potential of a wide baseline and the according good intersection geometry is not utilised. In this paper we present a stereoscopic approach, working on overlapping views of standard pan-tilt-zoom cameras which can easily be generated for arbitrary points of interest by an appropriate reconfiguration of parts of a sensor network. Experiments are conducted on realistic surveillance footage to show the potential of the suggested approach and to investigate the influence of different baselines on the quality of the derived surface model. Promising estimations of people’s position and height are retrieved. Although standard matching approaches show helpful results, future work will incorporate temporal dependencies available from image sequences in order to reduce computational effort and improve the derived level of detail.