Miracle-dz/UniFAR-FTUs huggingface dataset:
Diseño y análisis de sistemas productivos utilizando la optimización mediante simulación basada en internet

Los ingenieros de produccion buscan continuamente configuraciones optimas de sus sistemas productivos, con el fin de alcanzar el maximo rendimiento en los mismos. Este es un trabajo que consume mucho tiempo en la industria, y rara vez se le conceden los recursos necesarios para que las decisiones a tomar sean las acertadas. Para poder tomar estas decisiones de una manera mas eficiente, es necesario disponer de herramientas nuevas e innovadoras. Este articulo presenta la segunda generacion de FACTS Analyzer, una herramienta cuya funcion se basa en la integracion de una variedad de metodologias y tecnicas, incluyendo: el modelado rapido por medio de un nuevo concepto de agregacion y funciones simplificadas, la generacion de modelos de simulacion de manera automatica y optimizacion mediante simulacion apoyada por una innovadora arquitectura basada en Internet. Dichas metodologias y tecnicas permiten que la simulacion sea mucho mas facil de utilizar, y aceleran el tiempo de diseno y desarrollo de modelos, la fase de experimentacion y los procesos de optimizacion, con el fin de apoyar el proceso de toma de decisiones. FACTS Analyzer es el resultado de varios anos de investigacion y desarrollo, en estrecha colaboracion con la industria automotriz en Suecia. Production engineers struggle continuously in seeking the optimal configuration in order to maximize the performance of their production systems. This is a time-consuming work in which they seldom get the necessary resources in order to make the right decisions. New and innovative tools are therefore needed to support high-quality decision making in a rapid manner. This paper introduces the second generation of FACTS Analyzer, a toolset developed based on the concept of integrating model abstraction, automatic model generation and simulation-based optimization under an innovative Internet-based platform. Specifically, it addresses a novel model aggregation and generation method, which when combined together with other system components, like optimization engines, can synthetically enable simulation to become much easier to use and speed up the time-consuming model building, experimentation and optimization processes, in order to support optimal decision making. Such a toolset is the result of several years of research and development in close collaboration with the Swedish automotive industry.
Robust Digital Control for Interleaved PFC Boost Converters Using an Approximate 2DOF Current Controller

In recent years, improving power factor and reducing harmonics distortion of power supply used in electrical instruments are needed. In general, a current conduction mode boost converter is used for an active PFC (Power Factor Correction). Especially, an interleaved PFC boost converter is used to make a size compact, make an efficiency high and make a noise low. In this paper, the design method using an Approximate 2-degree-of-freedom (A2DOF) controller for a current control system and using a digital PI controller for a voltage control system is proposed. The digital PI controller is designed to enlarge the control bandwidth of the voltage control system. By this design method, the power factor can be improved more, the input current distortion can be made smaller and the output voltage regulation can also be suppressed smaller. These controllers are actually implemented on a micro- processor and are connected to the PFC converter. Experimental studies demonstrate that the combination of the digital A2DOF current controller and the digital PI voltage controller are effective. And it is shown that this combination is better than the one of usual phase lead-lag compensation controllers in the power factor, the input current distortion and the output voltage regulation.
Neighborhood environment associated with daily physical activity measured both objectively and subjectively among residents in a community in Japan

Investigation of the association between the neighborhood environment(NE)and daily physical activity(PA)is new and limited. The purpose of the study was to clarify the association between NE and PA in a community in Japan. Two types of regions with different residential density, land use mix-diversity, and street connectivity were selected. Residents were selected using a stratified random sampling method. Each resident’s NE was objectively and subjectively measured using the Geographic Information System (GIS) and a questionnaire. PA was measured using a pedometer(accelerometer type) and a questionnaire. For female residents, walking time for leisure was significantly longer with a high GIS score for the land use types, and total walking steps and walking time for leisure were higher among those who perceived land use mix-access. For male residents, total walking steps were significantly higher for those who perceived accessibility to working places and hardware stores, and the walking time for leisure was longer for those who perceived accessibility to working places and fast-food restaurants. The study results reveal that mixed land use that is in proximity to several non-residential facilities could promote daily walking steps and walking time. However, there is a sex difference in the association between NE and PA. Studies are needed in various communities with environmental variability in Japan.
Face Recognition System

The information age is quickly revolutionizing the way transactions are completed. Everyday actions are increasingly being handled electronically, instead of with pencil and paper or face to face. This growth in electronic transactions has resulted in a greater demand for fast and accurate user identification and authentication. Access codes for buildings, banks accounts and computer systems often use PIN's for identification and security clearences.
Performance Oriented Customization of On-Chip Memory Capacity

A scheme to customize capacity of on-chip memory is presented, which establishes relationship between the on-chip memory capacity and the application performance by analyzing the most frequently accessed instructions or data blocks in a specific application. The best capacity is also calculated, and performance changes predicted. Experimental results show that, with the proposed scheme, the best capacity is generally smaller than 4% of the application size, and the performance is significantly improved, doubled on average.
Architecting Software-Defined Storage for the 3 rd Platform

Software-defined storage (SDS) is a new generation of storage systems. Unlike the traditional embedded-system based storages, the SDS uses a software-stack above commodity hardware to provide more valuable and cost-effective features. This paper argues that the architecture of an SDS platform should have three main characteristics: 1. The separation of the control and data path, 2. Self-configuration of storage resources, and 3. RESTful APIs for new business extension. In this paper, the architecture of an SDS platform, called Federator, is first discussed. A new approach designed within the Federator for a self-configured SDS is described. This approach includes two types of neural networks, which provide optimal storage resource configuration for any type of application. It also includes fuzzy inference, which transforms the resultant optimal configuration into rules for automatic management. SDS has become one of the most important concepts in the storage industry, not only because it is a cost-effective alternative to traditional high-cost storage systems, but also its ease-of-use and the flexibility it can engender in an ever-changing business environment. With the clear separation of the control and the data path, the intelligent self-configuration technologies, and the standard RESTful API, the Federator is expected to better meet requirements of new applications in ever-changing computing environments.
Revisión de las especies europeas del género Saphonecrus Dalla Torre & Kieffer, 1910 (Hymenoptera: Cynipidae: Cynipinae)

Hom fa la revisio de les especies europees del genere Saphonecrus D. T. & Kieffer. Hom discuteix els limits taxonomics del genere i hom enumera les diferencies que el separen del genere afi Synergus Hgt. Hom inclou una clau de determinacio de les 6 especies representades a Europa. Saphonecrus undulatus (Mayr) i S. Haymi (Mayr) son redescrites a partir de material tipus. Hom estableix tres noves sinonimies: Synergus apertus Giraud i S. Giraudi Pujade son sinonims de Saphonecrus undulatus (Mayr), i S. Synophri Barbotin ho es de S. Lusitanicus Tav. Hom aporta illustracions dels caracters morfologics distintius de les diferents especies i, per a totes elles, hom dona tambe dades biologiques, incloent-hi cicles de vida i hostes.
Minimalist explanations in knowledge-based systems

Research in discourse comprehension and human-computer interaction indicates that good explanations are usually brief. A system that provides brief explanations, however, must plan for the case where brevity comes at the expense of understanding. Human-to-human dialogue is, to a large part, concerned with conversational repair and question-answer episodes; computer systems need to provide similar fallback techniques to their users. The authors have designed such an explanation system in the context of a knowledge-based critiquing system, LISP-CRITIC. The system provides several levels of explanations, specifically tailored to the user. If the initial, brief explanation is insufficient, the system positions the user at an appropriate point within a more complete, hypertext-based documentation system. Rather than attempting to design a system that can generate a perfect one-shot explanation for any given situation, this approach concentrates on matching the communication abilities provided by current computer technology to the cognitive needs of the human user. <<ETX>>
Detecção de tweets sobre eventos de trânsito usando word embedding

Access to information on traffic incidents is important for both users and traffic regulators. Traditional methods of incident detection require large investment in infrastructure. At the same time, social media users as Twitter share this information autonomously. The results are presented by comparing the algorithms used, taking into account questions such as training time and accuracy of the models. The traffic events analyzed were selected from the city of Porto Alegre, geolocation system of Twitter. However, the task of identifying this information in the midst of the large volume of data produced by users is not trivial. Taking that into account, this work objective was developing a system of detection of publications in the social network Twitter about traffic incidents. The applicability of the Word embedding technique for text classification, specifically the Doc2Vec and fastText variants, was analyzed.
Distal Metatarsal Osteotomy in Hallux Valgus Surgery: Chevron Osteotomy

1 Fatih Doğar1, Fırat Ozan1, Kaan Gürbüz1, Yakup Ekinci2, Ökkeş Bilal3, Eyyüp Sabri Öncel1 1Department of Orthopedics and Traumatology, Kayseri Training and Research Hospital, Kayseri, 2Department of Orthopedics and Traumatology, Develi Hatice Muammer Kocatürk State Hospital, Kayseri, 3Department of Orthopedics and Traumatology, Kahramanmaraş Sütçü İmam University Medical Faculty, Kahramanmaraş, Turkey Chevron Osteotomisi / Chevron Osteotomy Distal Metatarsal Osteotomy in Hallux Valgus Surgery: Chevron Osteotomy
Development of wall climbing robot

Problem statement: The problem of a wall climbing robot is holding on the wall. This is challenge for researchers. There are many factors, which effect in holding, all forces, robot movement and mechanical design. Approach: This study proposed movement step design for wallclimbing robot. In design the robot use pneumatic system as ain unit to move on the wall. The robot can move in four directions, forward, backward, left and rig ht. Results: We analyzed force acting with the wall that the wall should have only slope from 0° (paral lel with the ground) to 90° (vertical line). At equilibrium condition, we expressed all forces in e quilibrium by sum all forces that equal zero. Conclusion: We can choose parameter to improve the climbing ef fici ncy that the robot can climb much slope. For the first way, we can change the wa ll m terial to increase μs and for the second way, we can improve vacuum force by means of increasing pneumatic system efficiency.
Maintaining Permissions for XML Documents Stored in Relational and XML Native Databases

In this work we investigate the feasibility and efficiency of enforcing access control policies by materializing their semantics on XML documents; the documents can be stored and queried on both relational and native XML databases. We developed a re-annotation algorithm which selects a smaller portion of the policy that is required for restoring consistency when an update operation occurs. Hopefully, this corresponds to annotating less XML data than all the possible. The algorithm uses XPath static analysis and our experimental results show that our re-annotation solution is on the average 7 times faster than using the entire policy.
How Do Dinosaurs Say Good Night

 Talk with your child about your special bedtime routines. What things do you do together each night to get ready for bed? Read a story? Take a bath? Wear a special pair of pajamas? Or sleep with a favorite blanket or snuggly? Make a book about with your child about your child’s bedtime routine. Staple some blank pages together and title the front “(child’s name) Gets Ready For Bed” or “How Does (child’s name) Say Goodnight? ”
Multi-level modelling and simulation of new product development processes

This article presents a multi-level modelling approach for supporting the management of evolving new product development (NPD) processes. Following its articulation, an example of implementing process changes during the development process is presented. Such changes cannot be modelled by existing design/dependency structure matrix (DSM) approaches. A conceptual change in the product design occurs during the development process, in order to standardise the product components, and yields changes in the process plans that are simulated for decision-making. Implementation implications of dynamic changes to a development process are demonstrated, including business rules used to choose between process change options, while considering iteration learning effects. From the demonstration, it becomes clear that either DSM or Petri nets alone do not offer complete modelling capabilities for NPD processes and a multi-level approach must be adopted. Such a complete cycle of modelling would start from product knowledge through the DSM and DSM nets, which are process scheme models, with potentially additional patterns, and would end with a simulation in order to obtain insight into the dynamic changes in the process planning.
Monolingual Dictionaries as a Learning Tool : An Examination of the Collins Cobuild Advanced Learner's English Dictionary

This paper examines the Collins Cobuild Advanced Learner’s Dictionary and evaluates it usefulness as a language-learning tool. It begins by situating the Cobuild within the context of monolingual learners’ dictionaries in general, before taking a closer look at the philosophy that underpins the Cobuild, and at both the macrostructure and microstructure of the dictionary. Finally, it offers some suggestions as to what teachers can do to enable English learners to get more out of monolingual learners’ dictionaries in general, and the Collins Cobuild Advanced Learner’s Dictionary in particular.
Intervening with Women in Jail around Alcohol and Substance Abuse During Preparation for Community Reentry

The Women and Jails Project involved a jail in-reach brief screening and feedback intervention for women experiencing problems with alcohol or other substances. The screening and brief intervention (SBI) protocol involved the application of an evidence-informed screening interview (the Alcohol Use Disorder Identification Test-Including Drugs, or AUDIT-12) and the provision of personalized feedback on each woman's screening results, delivered in a brief motivational interview format. Comparisons of interview data while incarcerated and 2 months postrelease indicated significantly greater improvement in alcohol and other substance use screening results (lower AUDIT-12 scores) among women randomly assigned to intervention versus treatment as usual groups. This greater improvement could not be attributed to greater treatment engagement because that difference was not significant. The authors discuss practice and future research implications of the jail in-reach intervention and providing resource information to women preparing for community reentry.
A Review of the Relationship Between 100% Fruit Juice Consumption and Weight in Children and Adolescents

Studies assessing a relationship between consumption of 100% fruit juice by children and adolescents and weight are contradictory. The purpose of this review was to assess the 9 cross-sectional and 12 longitudinal studies that have looked at this association. Of the 9 cross-sectional studies reviewed, only 3 reported any association. Those studies used small, local convenience samples of preschool children; furthermore, selection criteria were not well defined. One found that preschool children consuming ≥12 fluid oz/day of 100% fruit juice had a higher prevalence of overweight than those who consumed less than 12 oz/day (32% vs 9%). Later, a separate study showed that this relationship held only for apple juice. Another study demonstrated an association of overweight and energy from juice. These 3 studies were not nationally representative. Only 3 of the longitudinal studies showed an association between 100% fruit juice consumption and weight; 1 found an association only in adolescent girls, and 2 reported an association in children who were already overweight. None of the longitudinal studies was nationally representative, but 5 had sample sizes of at least 1000, 2 were ethnically diverse, and 3 had geographically separate sites, suggesting that the findings could be applicable to wider populations. Based on the currently available evidence, it can be concluded that there is no systematic association between consumption of 100% fruit juice and overweight in children or adolescents. Data do support consumption of 100% fruit juice in moderate amounts and suggest that consumption of 100% fruit juice may be an important strategy to help children meet the current recommendations for fruit.
COMPARISON OF SAMPLING TECHNIQUES FOR IMBALANCED LEARNING

In recent years, huge increase in the number of people using Internet accompanied massive amounts of human and machine generated data recently called Big Data, where handling it efficiently is a challenging task. Along with that, valuable information that can be extracted from this data to perform data-driven decision making has attracted increased attention both from industry and academia. One of the important tasks in knowledge extraction is the classification task. However, in some of the real-world applications, dataset is either inherently skewed or collected dataset has imbalanced class distribution. Imbalance class distribution degrades the performance of several classification algorithms which generally expect balanced class distributions and assume that the cost of misclassifying an instance from both of the classes is equivalent. To tackle with this so called imbalanced learning problem, several sampling algorithms has been proposed in the literature. In this study, we compare sampling algorithms with respect to their running times and classification accuracies obtained from running classifiers trained with the sampled datasets. We find out that classification accuracies of the over-sampling methods are superior to the under-sampling methods. Sampling times are found to be similar whereas classification can be done more efficiently with under-sampling methods. Among the proposed sampling algorithms, the ADASYN method should be the preferred choice considering both execution times, increase in the data size and classification performance. Keywords : Imbalanced Learning, Sampling Methods, Data Mining, Big Data
The changing construction of women characters in popular Hindi-language cinema from 1970 to 2007

3 DECLARATION . 4 ACKNOWLEDGEMENTS . 5 CHAPTER 1: INTRODUCTION . 7 Introduction . 7 Aim of the study . 8 Rationale . 9 Methodology . 11 CHAPTER 2: LITERATURE REVIEW AND THEORETICAL FRAMEWORK . 12 Introduction . 12 General elements of Indian culture and religion . 12 Key shifts in Indian culture, politics, economy and the social climate that influenced development in Hindi cinema . 19 From India’s independence in 1947 to the present – key periods . 19 Developing local and international markets . 21 Diaspora . 22 The construction of women characters . 24 Bollywood films as cultural products . 24 The stereotyping of women characters . 29 CHAPTER 3: WOMEN AS PRESERVERS OF TRADITION IN HINDI-LANGUAGE FILMS OF THE 70’S AND THE 80’S . 39 Introduction . 39 Pakeezah (1971, Kamal Amrohi) . 41 Umrao Jaan (1981, Muzaffar Ali) . 50 Prem Rog (1982, Raj Kapoor) . 57 CHAPTER 4: LIBERALIZATION AND THE “NEW” INDIAN WOMAN . 63 Introduction . 63 Salaam Namaste (2005, Siddharth Anand) . 63 Baabul (2006, Ravi Chopra) . 73 Ta Ra Rum Pum (2007, Siddharth Anand) . 82 CHAPTER 5: CONCLUSION . 97 BIBLIOGRAPHY . 105 FILMOGRAPHY . 110
Changes in some liver enzymes and blood lipid level following interval and continuous regular aerobic training in old rats

زمینه و هدف: مطالعات مختلفی تاثیر تمرینات شدید بدنی را بر افزایش سرمی آنزیم های کبدی نشان داده اند، اما تأثیر تمرینات منظم ورزشی به ویژه بر آنزیم های بافت کبد کاملا مشخص نیست. این مطالعه با هدف بررسی تاثیر تمرینات منظم تداومی و تناوبی هوازی بر برخی آنزیم‌های بافت کبد شامل آسپارتات آمینوترانسفراز (AST)، آلکالین فسفاتاز (ALP) و آلانین آمینوترانسفراز (ALT) و سطح چربی‌های خون طراحی گردید. روش بررسی: در این مطالعه نیمه تجربی 56 سر موش صحرایی ماده ویستار با وزن 93/4  62/325 گرم و سن 21 ماه به صورت تصادفی به سه گروه کنترل، تداومی و تناوبی تقسیم شدند. گروه تداومی، دویدن روی نوار گردان بدون شیب را به مدت 6 و 12 هفته و گروه تناوبی، همین تمرینات را همراه با فواصل استراحتی بین نوبت‌های تمرینی دویده اند. به منظور اندازه گیری آنزیم های کبدی، بافت برداری کبد با شرایط کاملا مشابه در قبل و بعد از 6 و 12 هفته (روزانه 5 تا 10 دقیقه) تمرین انجام شد. همچنین مقادیر HDL-C و LDL-C با روش آنزیماتیک تعیین شد. داده ها با استفاده از آزمون آنالیز واریانس با اندازه گیری مکرر تحلیل شدند. یافته ها: انجام 6 و 12 هفته تمرینات تداومی و تناوبی باعث افزایش معنی داری در سطوح آنزیم های ALT، AST و ALP نسبت به پیش از آزمون شد (001/0P=) اما سطوح این متغیرها پس از 12 هفته تمرین تناوبی به طور معنی داری کمتر از تمرین تداومی بود (05/0P
浅谈Microsoft Visual Studio 2010新特性

Visual Studio 2008是基于Vista平台的开发工具。 但随着Vista的失败,Visual Studio 2008只能昙花一现。 现在,微软把宝都押在了即将到来的新平台Windows 7上。 作为面向下一代平台的开发工具,Visual Studio 2010开发程序提供了很多工具来帮助开发者开发基于Windows 7的应用程序,同时也使那些已经存在的非托管应用程序,通过一定的处理后也同样能够应用新操作系统所带来的特性。