Miracle-dz/UniFAR-FTUs huggingface dataset:
34-1 USING REVENUE SHARING CONTRACT TO COORDINATE SUPPLY CHAIN WITH A RISK-AVERSE

Revenue sharing contract is an effective mechanism in supply chain coordination. However, whether or not it works when participants of the supply chain members have their own preferences on the risk attitude is an important research issue. This paper investigates this kind of issues. The retailer faces a risk preference measured by the exponential utility function and the supplier as a Stackelberg leader provides a revenue sharing contract for that retailer. The retailer then decides to place an order from the supplier according to his risk preference and random demand. We assume that the supplier known the retailer’s market information and its risk preference. Under this business situation, we find that the revenue sharing contract still can coordinate the supply chain in different contract parameters. However, the contract parameters can affect the supply chain total profit and the splitting of profit between the supplier and the retailer. The result of this paper can supplement the supply chain coordination research literature considering decision-maker’s risk attitude, and also be effective to support decision-maker to set incentive mechanisms or respond to the incentives. Keywords-Supply Chain Risk Mangement; Revenue Sharing; Expected Untility Theory Corresponding Author, Prof. Zhong YAO, Tel: 8610-­‐82317802; Fax: 8610-­‐82328037. CIE42 Proceedings, 16-18 July 2012, Cape Town, South Africa © 2012 CIE & SAIIE 34-2
Applications of intelligent multi-agent systems for smart distribution systems

Multi-agent systems (MAS) can be applied to service restoration planning of distribution systems. The main purpose of service restoration planning is to restore as many customers as possible. In this paper, a MAS-based service restoration planner with a Genetic Algorithm (GA) is developed to solve group and zone service restoration problems in power distribution systems. Intelligent software agents embedded inside switches and feeders of a distribution system form distributed MAS. They autonomously co-work in parallel, so that time consumption on service restoration planning is kept into minimum. By transferring de-energized customers to their adjacent supporting distribution feeders, the agents running autonomously and sharing information with each other restore out-of-service loads. The proposed methodology is implemented on a Java Agent Development (JADE) platform. The feasibility of the proposed MAS-based restoration planner is demonstrated by a distribution system. Key words: Believe-Desire-Intension (BDI) agents, distribution systems, Java Agent Development (JADE), service restoration.
Original Article Detection of Herpes Simplex Virus Antibodies Using the Whole Virus and Recombinant gD

Background and Aims: Herpes simplex virus type 1 (HSV1) remains a potentially serious health problem world wide. All infected people, including asymptomatic ones, are potential sources for virus transmission. Virus envelope contains at least 13 glycoproteins, which glycoprotein D is the major target of immune responses. The aim of this study was development of a specific method that is a more rapid, sensitive and specific test compared to the virus neutralization test which is applied as gold standard test. Methods: In this study, the Western blot technique using crude HSV1 whole particle and baculovirus derived glycoprotein D of HSV1 as antigens was set. Human sera were analyzed by virus neutralization test and then serum samples with reciprocal virus neutralization antibody titers of 32, 64, and 128 were taken to be analyzed by Western blotting. Results: It was shown that there was a very good correlation between results obtained from virus neutralization antibody titers and those of Western blotting. Western blotting using recombinant glycoprotein D of HSV1 as an antigen showed positive results similar to the whole HSV1 antigen. Conclusion: Our study showed the Western blotting using recombinant glycoprotein D can replace virus neutralization test in diagnosis of HSV1 infections.
Analysis of signals in the Fisher – Shannon information plan

We show that the analysis of complex, possibly non-stationary signals, can be carried out in an information plane by both Shannon entropy and Fisher information. Our study is exemplified by two large families of distributions with p relevance: the Studentt and the power exponentials.  2003 Elsevier Science B.V. All rights reserved. PACS:02.50. Cw; 02.50. Ey; 65.40. Gr
Dysfunctional Metacogntive Beliefs in Body Dysmorphic Disorder

Known as dysmorphophobia, Body Dysmorphic Disorder (BDD) is a mental health problem which is chronic and disabling, known by a preoccupation with an unreal deformity in appearance. BDD is characterized by problematic disruptions in self-esteem, time-consuming repetitive actions and avoidance (e.g., of social interactions, mirrors, lights), typically starts in adolescence and has a mean age of onset at 16 years and mode of 13 years [1]. The overall point prevalence in general population, equally in both genders, is 0.7-2.4% [2], and rates were higher in patients with social phobia and obsessive-compulsive disorder [3].
Modelling the people recognition pipeline in access control systems

We present three generations of prototypes for a contactless admission control system that recognizes people from visual features while they walk towards the sensor. The system is meant to require as little interaction as possible to improve the aspect of comfort for its users. Especially for people with impairments, such a system can make a major difference. For data acquisition, we use the Microsoft Kinect 2, a low-cost depth sensor, and its SDK. We extract comprehensible geometric features and apply aggregation methods over a sequence of consecutive frames to obtain a compact and characteristic representation for each individual approaching the sensor. All three prototypes implement a data processing pipeline that transforms the acquired sensor data into a compact and characteristic representation through a sequence of small data transformations. Every single transformation takes one or more of the previously computed representations as input and computes a new representation from them. In the example models presented in this paper, we are focusing on the generation of frontal view images of peoples’ faces, which is part of the processing pipeline of our newest prototype. These frontal view images can be obtained from colour, infrared and depth data by rendering the scene from a changed viewport. This pipeline can be modelled considering the data flow between data transformations only. We show how the prototypes can be modelled using modelling frameworks and tools such as Cinco or the Cinco-Product Dime. The tools allow for modelling the data flow of the data processing pipeline in an intuitive way.
Managing enterprises and ERP systems:a contingency model for the enterprization of operations

Purpose – The purpose of this paper is to investigate enterprise resource planning (ERP) systems development and emerging practices in the management of enterprises (i.e. parts of companies working with parts of other companies to deliver a complex product and/or service) and identify any apparent correlations. Suitable a priori contingency frameworks are then used and extended to explain apparent correlations. Discussion is given to provide guidance for researchers and practitioners to deliver better strategic, structural and operational competitive advantage through this approach; coined here as the “enterprization of operations”. Design/methodology/approach – Theoretical induction uses a new empirical longitudinal case study from Zoomlion (a Chinese manufacturing company) built using an adapted form of template analysis to produce a new contingency framework. Findings – Three main types of enterprises and the three main types of ERP systems are defined and correlations between them are explained. Two r.
Optimal control in fed-batch reactor for the cellobiose hydrolysis

Glucose can be obtained from cellulose through enzymatic hydrolysis by the enzymes of the celullase complex. Cellobiose hydrolysis by cellobiase exhibits substrate and product inhibition, which reduces the reaction's performance. The researches available in the literature on this subject were made in batch reactors; a study concerning the possibility on the use of another type of reactor has not yet been made. The aim of this work is to analyze the use of a fed-batch reactor to this enzymatic reaction. Feed policy was determined using the optimal control theory, where substrate conversion and final product concentration were maximized. Simulated results were compared with experimental data obtained by Calsavara et al. (1999) in a batch reactor and indicated that substrate inhibition overcomes product inhibition. The fed-batch operation was advantageous in some situations.
On Higher Order Boundary Value Problems Via Power Series Approximation Method

In this work, a relatively new technique called Power Series Approximation Method (PSAM) is applied for the numerical approximate solution of non-linear higher order boundary value problems. Several examples are given to illustrate the efficiency and implementation of the method. The proposed method is efficient and effective on the experimentation as compared with the exact solutions. Numerical results are included to demonstrate the reliability and efficiency of the methods. Graphical representation of the obtained results reconfirms the potential of the suggested method. Keywords: Power series, nonlinear problems, boundary value problem, numerical simulation
Linking the demands–control–support model to innovation: The moderating role of personal initiative on the generation and implementation of ideas

The demands–control–support model indicates that workers can use job control and social support for problem solving. We examined whether personal initiative moderated relationships between, on the one hand, job control used for problem solving and social support used for problem solving and, on the other hand, ideas generation and implementation. We operationalized job control used for problem solving as ‘changing aspects of work activities to solve problems’. We operationalized social support used for problem solving as ‘discussing problems to solve problems’. Using an experience sampling methodology, participants provided data for up to four times a day for up to five working days (N= 89). The extent to which people ‘changed aspects of their work activities to solve problems’ was associated with higher levels of ideas generation for people with high personal initiative. The extent to which people ‘discussed problems to solve problems’ was associated with higher levels of ideas implementation for people with high personal initiative.
The effects of marble grit supplementation on the performance of broiler chicken

A trial was carried out to investigate the effects of both insoluble and soluble grits supplemented to broiler chicken on the growth performance and gizzard stimulation. Particle size distribution of excreta, grit passage, grit disappearance and AME were also examined. 252 day-old male broiler chickens were raised in 4 pens for 5 days and 192 (> 130g) of them were randomly and equally allocated into 48 quail cages (4 birds in each cage) and maintained on a commercial pelleted diet. 48 cages were divided into 4 groups, which were control group, granite group, zeolite group and marble group. Grit stones were given to their respectively treatment group on day 5 (2 g/bird), 7 (3.75 g/bird), 9 (3.75 g/bird) and 18 (1 g/bird), 19 (1 g/bird) and 20 (1 g/bird) on top of the feed. Remaining grit stone residues were removed and recorded on day 13 and day 21. Bird weight and feed consumption were registered at 5, 11, 13, 18 and 21 days of age. Quantitative sampling of excreta was collected from 5-11, 11-13, 13-18 and 18-21 days of age. These samples were frozen immediately for further analysis. One randomly selected bird from each cage was killed and dissected on day 13, 18, 21 and 22. Full and empty gizzard weight was recorded on all dissection days. The crop was collected on day 21 and 22. Both gizzard content and intestines were frozen immediately for further analysis. The findings showed that marble supplementation impaired the feed intake and weight gain of birds, whereas insoluble grits had no effects on the growth performance of birds. The pH and size of gizzard content were not affected by marble supplementation nor insoluble grits supplementation, whereas birds from granite group had significantly (p<0.05) larger values of gizzard content weight, relative gizzard content and empty gizzard weight than birds from marble group on day 13. The particle size distribution of excreta and AME were not affected by insoluble grits nor marble grit.
Signal processing on waveform data from the Eyesafe Ladar Testbed (ELT)

The Eyesafe Ladar Test-bed (ELT) is a raster scanning, single-beam, energy-detection ladar with the capability of digitizing and recording the return pulse waveform at 2 GHz in the field for off-line 3D point cloud formation research in the laboratory. The ELT serves as a prime tool in understanding the behavior of ladar waveforms. Signal processing techniques have been applied to the ELT waveform in an effort to exploit the signal with respect to noise reduction, range resolution improvement, and ability to discriminate between two surfaces of similar range. This paper presents a signal processing method used on the ELT waveform. In the processing, three deconvolution techniques were investigated-the Wiener filter, Richardson-Lucy deconvolution, and a new method that synthesizes the surface response using least squares minimization. Range error and range resolution are reported for these methods.
Students' Perspectives about Nursing Education

Evaluation is becoming a necessary part of nursing education. Educators rely on evaluation in order to measure the quality of their teaching and to identify areas where improvement is needed in nursing education. The current study aims at determining nursing students' perspectives regarding their course content and teaching methodology. In addition, some suggestions for improvement of nursing curricula were obtained from the students. Mixed methods using concurrent triangulation design were used. Eleven theoretical nursing courses in the first semester of the academic year 2013/2014 were subjected to evaluation by students in which they were enrolled. The instrument used in the study was designed by the researchers; its validity and reliability were assured. Results indicated that content of courses and teaching methods were clear, comprehensive and well organized. Online materials and well prepared and organized instructors who use class time effectively were emphasized. On the contrary, a noisy environment was the most frequent aspect which negatively affected students' learning process.
Relation between Eurasian Snow Cover, Snow Depth, and the Indian Summer Monsoon: An Observational Study

Abstract Satellite-derived snow cover data for 22 yr and snow depth data for 9 yr over Eurasia have been analyzed to reexamine the possible relation of snow with the Indian summer monsoon. In contrast to the previous studies that use snow cover averaged over all of Eurasia as a single number, the frequency of occurrence of snow at each grid point over Eurasia is correlated with the Indian summer monsoon rainfall. Thus specific geographical regions over Eurasia that are responsible for the well-known inverse relationship between Eurasian snow cover and Indian monsoon rainfall are delineated. It is found, somewhat surprisingly, that western Eurasia is the only geographical region for which a significant inverse correlation exists between winter snow cover and subsequent summer monsoon rainfall. However, composites for high and low snow cover over Eurasia show spatially homogeneous large-scale patterns of snow cover and surface temperature anomalies. Winters of high and low snow cover for Eurasia are found t.
Sains Humanika Assessing Forgiveness among University Students

This study aimed to examine forgiveness among university students in term of gender and age. In this quantitative study, a sample taken from 500 of undergraduate and postgraduate Malaysian university students of 240 males and 260 females with three range of ages 20-29 (younger adult), 30-39 (middle adult) and 40 years above (older adult). Data were analyzed by using Rasch Model for psychometric properties of the Heartland Forgiveness scale. Independent t-test and one way ANOVA were used to analyze the differences in gender and age of the students on forgiveness. In term of psychometric properties results showed that person reliability (0.77) and item reliability (1.00) indicate that students involved in this study were reliable and items used were highly reliable. Result presented that there was no significant difference on forgiveness for both gender and age of the university students. It was recommend that forgiveness should be explored to other factors related to it such as anger, religiosity, health, culture, background of respondents and other factors in the context of Malaysian perspective. In order to help individuals reap the benefits associated with forgiveness and avoid the consequences associated with unforgiveness, educational systems in university suggested focusing on providing students with the moral perspective closely related to the subjects about forgiveness in the syllabus of their study.
Tillage system does not affect soil macrofauna in southeastern Buenos Aires province, Argentina

Soil degradation increased incessantly in the Pampas region of Argentina, due to the intensification of agricultural activities, when carried out with conventional tillage (CT) systems. No-tillage system was adopted as conservation practices by the farmers. The objectives of this study were: a) to determine the macrofauna taxa and their relative abundance under CT and NT in two different seasons; and b) to evaluate soil tillage and seasonal effects on the density of the main macrofauna taxa. The study was conducted from 2002 to 2004 in 46 production farms, in Balcarce, Argentina. Ten soil monoliths (25.2 cm side; 30 cm depth) ramdomly directed field at July-August; and at October- November to determine the number of individuals of macrofauna and Enchytraeidae. Soil macrofauna density did not differ between tillage systems. Oligochaeta Megadrilli density was generally not affected by the tillage system (P > 0.05) except in 2004 when it was greater under CT in July-August (P = 0.0002). Chilopoda density was greater in soils under NT, with significant differences in 2002 in October-November (P = 0.0070). In July-August of 2003 it was higher in CT (P = 0.0109). Diplopoda were more abundant only under NT in July-August 2004 (P = 0.0010). In July-August a significantly (P < 0.05) higher density of Enchytraeidae was found in CT than NT fields. No differences were observed in the taxonomic composition and the relative abundance of the macrofauna when comparing CT and NT. It can be then concluded that in the study region tillage systems affected slightly soil macrofauna and significantly Enchytraeidae. Additional key words: abundance, conventional tillage, no-tillage, soil invertebrates.
The Effect of Aquatic and Dryland Resistance Training on Peroxisome Proliferator Activated Receptor-ɑ Gene Expression in Middle-aged Women’s Peripheral Blood Mononuclear Cell after Coronary Artery Bypass Grafting

Background. Cardiac rehabilitation program is aimed at reducing secondary risk factors and improving function in patients undergoing coronary artery bypass grafting run which ultimately may delay or reduce mortality in patients. A major component of cardiac rehabilitation program is exercise. Objective(s). This study is aimed at evaluating the effect of aquatic and dryland training on Peroxisome Proliferator Activated Receptor-ɑ (PPAR-α) gene expression in middle-aged women’s peripheral blood mononuclear cells (PBMNCs) after coronary artery bypass grafting. Methods. Thirty middle-aged women with cardiovascular disease were categorized into three groups comprising control (CON), aquatic resistance training (ART) and dryland resistance training (DRT). The dryland training program lasted for eight weeks of resistance training (3 sessions per week/ 60 minutes per session) and included two to three sets of 12-15 repetitions with 60% of 1RM. The aquatic resistance training lasted for eight weeks (3 sessions per week/ 60 minutes per session), with 60 to 80% of 1RM for each exercise primarily. Fasting blood samples were taken from all participants 48 hours both before the beginning of the training program and after the last training session. PPARα relative gene expression was identified by Real-Time PCR method. Results. It is showed a significant increase in the relative PPARɑ gene expression in both aquatic and dryland resistance training groups (F= 15.573, P= 0.001). It is found a significant difference in aquatic and dryland resistance training groups as regards PPARɑ gene expression (P= 0.001, t= -6.954; P= 0.001, t= -5.871; respectively). Conclusion. The results revealed that both of them on land and water training, increase PPARɑ gene expression in middle-aged women after coronary artery bypass and a possible reverse cholesterol transport process can be improved, so it is recommended that this type of training program, cardiac rehabilitation should be employed.
Robust PID Decentralized Controller Design Using LMI

The new LMI based method for robust stability analysis for linear un- certain system with PID controller is proposed. The general constrained structure of controller matrix is considered appropriate for both output feedback and decentral- ized control and the respective guaranteed cost control design scheme is presented. The sufficient robust stability condition is developed for extended quadratic perfor- mance index including first derivative of the state vector to damp oscillations. The obtained stability condition is formulated for parameter-dependent Lyapunov func- tion.
A Visual Tracking Algorithm in Large-Scale Video with Convolutional Neural Networks

Convolutional Neural Networks (CNNs) had become a powerful model for solving many problems. In this paper, a novel visual tracking algorithm in large scale video based a trained CNN is proposed. The algorithm can track the trajectory of a moving object in a video with complex background quite precisely. Different from the most existing algorithms, we offline pre-trained a CNN through massive images data to obtain generic image features, which can be used the online tracking process. The trained CNN consists of shared layers and multiple branches of domain-specific layers, each branch is used for classification to identify target in each domain. When tracking a moving object in a new video sequence, a new network by combining the shared layers in the pre-trained CNN with a new classification layer is constructed. Experiment results show that performance of the proposed algorithm is excellent for some representative tracking benchmarks.