Miracle-dz/UniFAR-FTUs huggingface dataset:
Pengembangan Model Pemilihan Green Supplier di Kawasan Industri Cikarang

Nowadays, innovation and improvement in the industrial and logistic sector are significantly increasing sustainability issues and awareness. The concept of green supply chain focuses on the supply chain management that aims to reduce the environmental impacts, increasing the natural and ecological efficiency. The companies that are willing to accelerate their environmental performances will enhance competitive advantage that will bring income and market share enhancement, also a more positive corporate image. From the literature study, several green supplier criteria were identified and then be selected and categorized by interviewing the experts. From those results, ten criteria been developed in the model by using MCDM methods, which are DEMATEL and ANP. There are five respondents as experts in the environmental engineering field and industrial estate management, who know best the condition in Cikarang Industrial Estate. Five top criteria that have the highest weight number are Environmental management system (EMS), PROPER assessment from KLHK Indonesia (PROPER), Pollution prevention and control (PLC), Energy management/efficiency (EM), and Green design or R&D (GD).
Organic poultry production system and meat characteristics

The effect of the organic poultry production system on some qualitative characteristics of the meat is reported. The effect is mainly due to the greater age and physical activity of animals but it is largely modulated by the farming protocols used e.i. , genetic strain (fast and slow-growing strains) and pasture availability. Due to economic reasons and chicks availability, generally fast or intermediate growing chicks are used. Such animals are not adapted to the organic system and health and welfare problems caused by leg disorders and lameness are recurrent. Nevertheless, compared to conventional chickens, the carcasses have higher breast and drumstick percentages and a lower level of abdominal fat. Even the physical-chemical characteristics of the meat are affected: muscles have lower final pH and water holding capacity. Instead cooking loss, lightness, shear values, Fe, and polyunsaturated fatty acids increase. Unfortunately, the greater physical activity increases the oxidative metabolism of the body and determines a higher level of TBA-RS. Slow-growing strains, probably due to their particular behaviour (more kinetic activity, foraging) and metabolism, show larger differences in qualitative traits, compared to both conventional and organic fast-growing strains. In particular, with respect to fast-growing strains, they have a higher antioxidant level (715 vs 522 nmol HClO mL-1), serum a-tocopherol (19.0 vs 17.2 mg L-1) and grass ingestion. As a result, the oxidative stability of fresh and stored meat is much higher than fast-growing strains (2.0 vs 3.05 mg MDA kg-1). In conclusion, the organic poultry production system seems to be an interesting alternative method especially if suitable farming protocols will be developed and used.
A FPGA-based Hardware Architecture for Real-time Texture Classification Using Local Binary Patterns

Local Binary Pattern (LBP) is a simple yet efficient texture operator which has become a popular approach in texture classification. In this paper, we propose a novel hardware architecture for texture classification algorithms based on local binary patterns that can be executed efficiently on a field-programmable gate arrays (FPGAs). A new memory structure and window operations have been used in this hardware design to accelerate images processing. The new architecture is implemented on Xilinx Virtex-6 FPGA. The experiments show that this new method exhibits more efficient execution compared with standard implementations based on central processing units and graphics processing units.
O turismo no Morro da Babilônia (RJ): do reflorestamento ao Ecoturismo

O Morro da Babilônia, localizado no bairro do Leme, zona sul do Estado do Rio de Janeiro, abriga remanescentes da Mata Atlântica, bioma de excepcional biodiversidade e elevadas taxas de endemismo que foram submetidos aos efeitos de intensa exploração e pressão antrópica durante muitos anos. A partir da década de 80, algumas iniciativas da comunidade local e do poder público foram responsáveis pela recuperação desta devastada vegetação, através da atividade de reflorestamento e a transformação do território em uma Unidade de Conservação, atualmente, Parque Natural Municipal da Paisagem Carioca. Este artigo apresenta as etapas do processo de reflorestamento desta região e a consequente implantação do ecoturismo no Morro da Babilônia, com o objetivo de mostrar como esta atividade pode manter a conservação do ambiente natural, beneficiar a população do local e incentivar a educação ambiental. Para isso, foi necessário realizar uma pesquisa de campo qualitativa, a partir de reuniões e entrevistas com os idealizadores do projeto, órgãos gestores da Unidade de Conservação e os moradores locais. Os resultados da pesquisa demonstraram que a atividade de ecoturismo implantada no morro da Babilônia ainda enfrenta alguns desafios para se manter. No entanto, mesmo com dificuldades, consegue gerar benefícios diretos e indiretos para a comunidade local e cumprir o seu principal objetivo de garantir a conservação do ambiente natural.
First order sigma-delta modulator of an oversampling ADC design in CMOS using floating gate MOSFETS

ii Acknowledgments I would like to take this opportunity to thank everyone who contributed to the successful completion of this thesis. First of all, I would like to thank Dr. Ashok Srivastava, my major professor, for providing extensive support and encouragement throughout this work. I would also like to thank Dr. Kak for being a part of my committee. Center for Computation & Technology for supporting me financially during my stay at LSU. I would like to thank my parents Prabhavathi and Murali Krishna and to all my family members and friends for their constant prayers and moral support throughout my life. I deeply thank my mother for her efforts to make me successful. Special thanks to my brother, sisters and brother-in-laws for all their love and support. I also thank Anand for his help in my work and all my other friends, Satish, at times I needed them. I also thank all my friends at LSU who helped me indirectly in my work. Last of all I thank GOD for keeping me in good health and spirits throughout my stay at LSU.
Fast Edge Detection Algorithm for Embedded Systems

The processing of images is currently moving from desktop implementation to mobile or embedded ones. In the case of automotive image processing, limited resources in memory or CPU frequency reduce the applicability of nowadays algorithms and possibility of real time processing. In this respect, we have proposed two methods for fast computation of edge detection. The accuracy and speedup were compared with some of basic methods as Canny and Sobel detectors. Also for a solid reference, the Berkeley Computer Vision Group datasets were employed as benchmarks. Good results were obtained over one hundred images from the set. In view of an embedded implementation, two platforms were used for the evaluation of the proposed methods and the references. Performing two times faster and with similar accuracy, our algorithms could have evident implementations in the growing field of embedded devices.
Sectorial evaluation of Islamic banking contracts: a fuzzy multi-criteria-decision-making approach

Improving the efficiency and performance of microfinance investments is essential to achieve its objectives in terms of economic and social development. One parameter that influences such a performance is the kind of the activity exercised by the micro-entrepreneurs. The aim of this paper is to provide a decision-making guide to help both microfinance institutions and investors to choose the appropriate Islamic banking contract with respect to each sector of activity. To attain this goal, an Intuitionistic Fuzzy TOPSIS evaluation is conducted in collaboration with Moroccan Islamic finance experts and practitioners. The proposed approach has the advantage to deal with the lack of quantitative historical data, as well as the uncertainty of the decision makers’ judgments. The suggested work will be helpful for the Moroccan participative banks and for the future Islamic microfinance institutions as well.
A Financial Analysis of Revenue and Expenditure Trends within Division I Athletic Departments

iii ACKNOWLEDGEMENTS I would like to thank my thesis advisor Dr. Coyte Cooper and committee members Professor Barbara Osborne and Dr. Ed Shields for their guidance and support through this process. Additionally, I would like to thank my Sport Administration 2011 classmates for their encouragement, advice and friendship throughout my pursuit of this graduate thesis and my Master " s degree. The Knight Commission cites two critical spending issues in Division I college athletics: the imbalance of rapidly rising expenditures against slow-moving revenues and the widening gap between wealthy conferences and struggling conferences (2009a). The purpose of this study is to compare revenue and expenditure trends in men " s revenue sports, men " s non-revenue sports, and female sports from 2006-2009, to determine if differences in distributive justice principles exist in budget decisions across the three athletic department levels: Football Bowl Series (FBS), Football Championship Series (FCS), and the Non-Football Subdivision (Division I without Football). FBS institutions were found to almost completely abide by equity principles when making budgetary decisions while the FCS and Non-Football Subdivision made more decisions founded in principles of equality and need. The study is significant to institutions looking to add or drop varsity programs within their sub-classification, gain a financially competitive edge, or reclassify in the Division I structure.
Last but Not Least

In a periodic pattern of horizontally and vertically aligned quadrangles, two sets of illusory lines are seen to pulsate at orthogonal orientations, corresponding to the directions of knight's moves on a chessboard. The illusion seems to be governed by subtle rules of long-range interactions between parallel and non-parallel orientation filters.
Comparison of New Metrics for Assessment of Risks of Occupational Noise

Noise induced hearing loss (NIHL) is one of the most common occupational related health problems worldwide. Exposure to excessive noise is the major avoidable cause of permanent hearing loss. The conventional metrics for noise evaluation cannot accurately assess the exposure risks to high-level complex noise, which commonly occurs in many industrial and military fields. Recently, we have developed two advanced models, an adaptive weighting (F-weight) and a complex velocity level (CVL) auditory fatigue model, to evaluate the risks of occupational noise. In this study, we compared performances of four noise assessment metrics, including F-weighted sound pressure level (SPL) L Feq , CVL model based SPL L CVL , A-weighted SPL L Aeq , and C-weighted SPL L Ceq, using animal experimental NIHL data. The animal data includes 22 groups of Chinchillas exposed to different types of noise (e.g., Gaussian and nonGaussian noises). Linear regression analysis is applied to evaluate the correlations between four noise metrics and the Chinchillas’ NIHL data. The results show that both developed F-weighting and CVL models have high corrections with animal hearing loss data compared with the conventional noise metrics, L Aeq and L Ceq . It indicates that both developed models could provide accurate assessment of risks of high-level occupational noise in military and industrial applications. The results also suggest that the CVL model is more accurate than the F-weighting model on assessment of occupational noise.
A CONCEPTUAL MODEL FOR UNDERSTANDING THE IMPACT OF TEXTUAL EMOTION MINING

: The widespread adoption of social media applications in today’s internet world has created a revolution in the field of Textual emotion mining (TEM). TEM has gained a significant amount of interest in the past few years where a large community of researchers is focusing on the efficient extraction of emotions, ignoring the influential behavior of emotions. This paper presents a unique study to focus on the outcome of research on Textual Emotion Mining instead on the process of emotion mining. It classifies the output of TEM by presenting an emotion-output model. It also discusses the influential capability of emotions in various domains, shedding light on various new avenues by analyzing the different work done in this area.
Make Up Your Mind

Today, connected software-intensive products permeate virtually every aspect of our lives and the amount of customer and product data that is collected by companies across domains is exploding. In revealing what products we use, when and how we use them and how the product performs, this data has the potential to help companies optimize existing products, prioritize among features and evaluate new innovations. However, despite advanced data collection and analysis techniques, companies struggle with how to effectively extract value from the data they collect and they experience difficulties in defining what values to optimize for. As a result, the impact of data is low and companies run the risk of sub-optimization due to misalignment of the values they optimize for. In this paper, and based on multi-case study research in embedded systems and online companies, we explore data collection and analysis practices in companies in the embedded systems and in the online domain. In particular, we look into how the value that is delivered to customers can be expressed as a value function that combines different factors that are of importance to customers. By expressing customer value as a value function, companies have the opportunity to increase their awareness of key value factors and they can establish an agreement on what to optimize for. Based on our findings, we see that companies in the embedded systems domain suffer from vague and confusing value functions while companies in the online domain use simple and straightforward value functions to inform development. Ideally, and as proposed in this paper, companies should strive for a comprehensive value function that includes all relevant factors without being vague or too simple as is the case in the companies we studied. To achieve this, and to address the difficulties many companies experience, we present a systematic approach to value modelling in which we provide detailed guidance for how to quantify feature value in such a way that it can be systematically validated over time to help avoid sub-optimization that will harm the company in the long run.
Managing Emerging (Mis)Alignments in Data-Driven Servitization

Overview: Manufacturers moving to service-based business models are generally advised to provide total-care solutions to their customers in order to boost profits and strengthen customer relationships. To reduce the risks associated with such services, service providers often rely on remote monitoring technologies to access data on their products’ health and usage. Our study reveals a tension between the technical development of complex products capable of remote monitoring and the business logic required to commercialize this potential. Specifically, we show that the collaborative value co-creation context within which these products are typically developed requires managers to seek alignment in technical specifications and value co-creation logics simultaneously. However, technical alignment is contingent on factors that can lead to business logic misalignments.
Discover the pythagorean theorem using interactive multimedia learning

In learning process students are required to play an active role in learning. They do not just accept the concept directly from teachers, but also build their own knowledge so that the learning process becomes more meaningful. Based on the observation, when learning Pythagorean theorem, students got difficulty on determining hypotenuse. One of the solution to solve this problem is using an interactive multimedia learning. This article aims to discuss the interactive multimedia as learning media for students. This was a Research and Development (R&D) by using ADDIE model of development. The results obtained was multimedia which was developed proper for students as learning media. Besides, on Phytagorian theorem learning activity we also compare Discovery Learning (DL) model with interactive multimedia and DL without interactive multimedia, and obtained that DL with interactive gave positive effect better than DL without interactive multimedia. It was also obtainde that interactive multimedia can attract and increase the interest ot the students on learning math. Therefore, the use of interactive multimedia on DL procees can improve student learning achievement.
jmbReview Antimicrobial and Anti-Biofilm Activities of the Methanol Extracts of Medicinal Plants against Dental Pathogens Streptococcus mutans and Candida albicans

According to a recent WHO report, dental caries prevail to a large extent among both children and adults [1]. Diet habits, bacterial adhesion to tooth surfaces, biofilm formation, and dentin mineralization play key roles in the formation of dental caries. In the early stages of dental caries formation, cariogenic plaque biofilms on tooth surfaces are synergistically constructed by the combined action of enzymes (glucosyltransferase and fructosyltransferase) released by Streptococcus mutans and the adhesive enhancing agents (glucans) secreted by Candida albicans, thereby providing habitats for the growth of etiologic bacteria [2]. The resulting biofilms not only contribute to the development of dental caries, but also support the growth of diverse microorganisms. Recently, a human oral microbiome project identified more than 764 kinds of bacteria and 102 kinds of fungi. Specifically, among 132 kinds of bacteria, 12 species were classified as pathogenic bacteria of the oral cavity [3, 4]. The identified pathogenic Received: January 10, 2017 Revised: April 6, 2017 Accepted: May 2, 2017
Connective tissue diseases and noninvasive evaluation of atherosclerosis

License. The full terms of the License are available at http://creativecommons.org/licenses/by-nc/3.0/. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. Permissions beyond the scope of the License are administered by Dove Medical Press Limited. Information on how to request permission may be found at: http://www.dovepress. com/permissions.php Journal of Vascular Diagnostics 2014:2 53–57 Journal of Vascular Diagnostics Dovepress
Monte-Carlo simulation of GaAs devices using high generality object-oriented code and encapsulated scattering tables

Many factors are responsible for the continued shift in industry prototyping preference from device fabrication to device simulation. One of the incentives for this transition is the generality and flexibility gained by avoiding a physical prototype. Unfortunately, much of the existing simulation software was written to solve a specific problem and therefore lacks flexibility. To combat this problem, we have developed an ensemble Monte-Carlo particle-based simulator for performing device simulations with a high degree of generality. Much of the generality comes simply from using a dedicated object-oriented coding philosophy in which implementation is separated from interface as much as possible. The use of ‘smart’ objects also increases the flexibility of this device simulator. Finally, the simulation software uses recursively encapsulated scattering tables, allowing a reduction in memory requirements and/or processing speed when simulating devices with complicated doping profiles.
State Wide Self-Assessment of General Program Standards for Agricultural Education

A quality program is the ultimate goal for many secondary agricultural education programs. To ensure quality agricultural education programs, standards were established to measure the extent agricultural education programs in Iowa were implementing standards. Utilizing Ajzen’s Theory of Planned Behavior, researchers incorporated the Iowa Council on Agricultural Education standards as an evaluation tool. A census study was conducted in Iowa with high school agricultural education teachers (N = 255) to better understand the extent that standards outlined by the Iowa Council on Agricultural Education were being met in agricultural education programs. In the general program standard area, improvement is needed in the areas of utilization of stakeholders, program planning, and administration communication. The FFA standard area only had one standard not being met or exceeded while Supervised Agricultural Experience (SAE) standard area had all standards indicated being met or exceeded.
Multi-scale image segmentation method with visual saliency constraints and its application

Object-based image analysis method has many advantages over pixel-based methods, so it is one of the current research hotspots. It is very important to get the image objects by multi-scale image segmentation in order to carry out object-based image analysis. The current popular image segmentation methods mainly share the bottom-up segmentation principle, which is simple to realize and the object boundaries obtained are accurate. However, the macro statistical characteristics of the image areas are difficult to be taken into account, and fragmented segmentation (or over-segmentation) results are difficult to avoid. In addition, when it comes to information extraction, target recognition and other applications, image targets are not equally important, i.e., some specific targets or target groups with particular features worth more attention than the others. To avoid the problem of over-segmentation and highlight the targets of interest, this paper proposes a multi-scale image segmentation method with visually saliency graph constraints. Visual saliency theory and the typical feature extraction method are adopted to obtain the visual saliency information, especially the macroscopic information to be analyzed. The visual saliency information is used as a distribution map of homogeneity weight, where each pixel is given a weight. This weight acts as one of the merging constraints in the multi- scale image segmentation. As a result, pixels that macroscopically belong to the same object but are locally different can be more likely assigned to one same object. In addition, due to the constraint of visual saliency model, the constraint ability over local-macroscopic characteristics can be well controlled during the segmentation process based on different objects. These controls will improve the completeness of visually saliency areas in the segmentation results while diluting the controlling effect for non- saliency background areas. Experiments show that this method works better for texture image segmentation than traditional multi-scale image segmentation methods, and can enable us to give priority control to the saliency objects of interest. This method has been used in image quality evaluation, scattered residential area extraction, sparse forest extraction and other applications to verify its validation. All applications showed good results.