Miracle-dz/UniFAR-FTUs huggingface dataset:
Psicología Jurídica

La Psicología Jurídica un área de trabajo e investigación especializada, cuyo objeto es el estudio del comportamiento de los actores jurídicos en el ámbito del derecho, la ley y la justicia. Esta especialidad comprende el estudio, explicación, promoción, evaluación, prevención y en su caso, asesoramiento y tratamiento de aquellos fenómenos conductuales y relacionales que inciden en el comportamiento legal de las personas, mediante la utilización de métodos propios de la Psicología científica. En América Latina, la definición de la Psicología Jurídica ha ido en la misma línea, dado que es entendida como la encargada de los problemas relacionados con el comportamiento humano y que surgen en el sistema jurídico legal (policía, juzgados, tribunales, correccionales para infractores e instituciones carcelarias y penitenciarias, etc.). Reconocida como la Psicología aplicada en el campo del Derecho, que le ofrece al psicólogo un campo de acción interdisciplinario y que le permite asumir su ejercicio, utilizando los instrumentos que le son propios en armonía con elementos ofrecidos por el campo jurídico, como son las actuaciones judiciales y extrajudiciales, el medio carcelario y el conjunto de individuos sujetos de obligación o derecho que los hacen valer.
Effectiveness of Model-Driven Development Process : Case Study

Research on how to develop information systems efficiently and effectively since early 1960s has resulted in many techniques, methods and methodologies. Only a few of them, however, have been successfully practiced in the field. Model-Driven Development(MDD) is an innovative approach emphasizing the central role of model for development activities, attracting many practitioners' attention as well as researchers'. As MDD matures, many researchers have been trying to establish the evidence of its effectiveness. But many of them only suggest lessons learned or report limited evidence of effectiveness based on isolated case studies. This paper reports the state of the art of Model-Driven Engineering(MDE) and its major issues. We reviewed a number of papers and collected the conceptual definitions of MDE effectiveness from the technological and organizational perspectives. A case study in which MDD technology was adopted has been performed in order to measure the effectiveness of MDD quantitatively and qualitatively. This paper also analyzes and summarizes key considerations and lessons learned for IT organizations to adopt MDE successfully from the case study.
COMMERCIALIZATION OF BIOMASS COFIRING WITH COAL IN STOKER BOILERS

Many special cases of cofiring biomass with coal has been examined in the past, with the growing concern for global climate change, it is now time to demonstrate its feasibility in practical use. Since 1997, the Engineering Program of Biomass Energy at the University of Pittsburgh has conducted a series of demonstrations, which focused on the utilization of clean urban waste in stoker boilers. In this paper, two demonstrations of cofiring biomass (clean urban waste wood) with coal in stoker boilers, conducted recently in the Bellefield Boiler Plant and the NIOSH boiler plant are described and the results summarized, including engineering and economic studies, parametric testing, and examining the feasibility of commercialization.
Analysis of Network and Non-Network Factors on Traveler Choice Toward Improving Modeling Accuracy for Better Transportation Decisionmaking

The need to reduce congestion, enhance safety, and make the U.S. transportation system and cities more sustainable has given rise to various programs, technologies, and policies. The effectiveness of these interventions depends on how users eventually respond and, in some instances, modify their travel behavior. While significant advances have taken place over the past 50 years in the field of travel behavior research and travel demand forecasting, the ability to reliably predict the direction and magnitude of behavioral responses to various network and non-network factors and interventions remains limited. Many experts have called for better data collection and analysis methods and better integration of behavior models with supply analysis tools. This report provides a synthesis of the state of knowledge in travel behavior research and showcases how to improve current models with relevant behavior realism through six case studies. These case studies range from long-term policy interventions (e.g., urban design policy affecting land use and neighborhood walkability), to short-term en-route interventions (e.g., traveler information systems for weather-responsive system management). The case studies also include interventions aimed at environmental as well as congestion avoidance objectives. The applications provide an enhanced capability to capture traveler choices in both the main evaluation tools as well as in supporting the design process actively. This multifaceted research initiative cuts across several Federal Highway Administration (FHWA) programs such as the Office of Planning, Environment, and Realty; Office of Operations; Office of Safety; and Office of Research, Development, and Technology. This study will facilitate implementation of a balanced, cross-cutting effort to better understand the topic of traveler choice, and builds on current activities related to modeling and analysis across FHWA, professional associations, and academia.
Errorless discrimination learning in simulated landing flares

Proper landing flares are crucial to smooth and safe landings. Nevertheless, landing flare accident rates are relatively high and past studies have implicated flaws in flare instruction. This study tested the effectiveness, ergonomics, and safety of a novel landing flare discriminative cue. Twenty-six participants with no prior aviation background were trained to land a Cessna 182S simulator. Control participants were provided with traditional landing flare instructions and experimental participants with a discriminative auditory cue. Results indicated that control participants flared significantly higher, registered higher impacts at touchdown, and appeared to initiate the flare in a trial-and-error fashion.
Design of a Mobile Mechanism for Missing Miner Search Robots in Underground Mines

有为一个失踪的矿工搜索机器人(MMSR ) 的四轨道单位的活动机制被介绍，与基于地面特征和一个地下的矿的凶恶环境的一个图案。 它的结构和工作原则被讨论。 四轨道单位独立地被控制并且合作地开车。 借助于分别地被控制的二台 DC 马达，一轨道单位能完成驾驶模式的二种类型：追踪了旅行和不可分的单位 legged 旋转(IULR ) ，形成轨道腿混合物功能机制。 它在地下的矿克服障碍和它的倒下的稳定性的能力也被分析了。 结果证明活动机制罐头直接克服高度的一个障碍不到一轨道单位的长度并且与跨度走过一条水沟不到由使用的 onetracked 单位的长度追踪了旅行和 IULR。 它的不稳定的斜坡角度是 51.3 deg。 Topplingstability 被它的结构的尺寸决定，移动方向和斜坡角度。 fourtracked 单位的 IULR 能调整机器人“ s 姿势然后提高倒下的稳定性或在克服障碍帮助。 它的轨道腿混合物功能机制为在地下的矿工作使它合适。
Using Geographic Information System (GIS) to estimate the volume of water for Al Dammam unconfined Aquifer within Al Salman basin, Al- Muthana Governorate, South West Iraq

The groundwater represents the main source of water in the study area due to lack of surface water. The Dammam unconfined aquifer represents the main aquifer in the study area and Southern desert because of the regional extent, the quantity and quality of water. Many groundwater wells have been drilled in the study area to coverage the huge demand of water for agricultural purposes. The Geographic Information System (GIS) was used to estimate the volume of water which calculated (25.6964 Ã— 109 m3) within the study area , automate calculation of the area of Al Salman basin using digital elevation models, derive the thickness maps of AlDammam unconfined aquifer from Key holes (KH) and Bore holes (BH), draw the groundwater head and flow map in the study area. Such data derived from GIS can help authorities and researchers for groundwater management and further development within the study area.
Automated design of multi-mode fuzzy controllers

A standard fuzzy logic controller is not robust enough to guarantee consistent closed-loop performance for highly non-linear plants. A finely tuned closed-loop response loses relevance as the system dynamics change with operating conditions. The self-adaptive fuzzy logic controller can track changes in the system parameters and modify the controller parameters accordingly. In most cases, self-adaptive fuzzy logic controllers are complex and rely on some form of mathematical plant model. The multi-mode fuzzy logic controller extends the working range of a standard fuzzy logic controller by incorporating knowledge of the non-linear system dynamics into the control rule-base. The complexity of the controller and difficulty in finding control rules have limited the application of multi-mode fuzzy logic controllers. An automated design algorithm is proposed for the design of a multi-mode control rule-base using qualitative plant knowledge. The design algorithm is cost function-based. The closed-loop response, local to a domain of the non-linear state space, can be tuned by manipulation of the cost function weights. Global closed-loop response tuning can be done by manipulation of the controller input gains. Alternatively, a self-learning or self-adaptive algorithm can be used in a model reference adaptive control architecture to optimise the control rule-base. Control rules responsible for unacceptable closed-loop performance are identified and their consequences modified. The validity of the proposed design method is evaluated in five case studies. The case studies illustrate the advantages of the multi-mode fuzzy logic controller. The results indicate that the proposed self-adaptive algorithm can be used to optimise a rule-base given a required closed-loop specification. If the system does not conform to the model reference adaptive architecture then the intuitive nature of the cost function based design algorithm proves to be an effective method for rule-base tuning. ii Stellenbosch University http://scholar.sun.ac.za
Heavy metals evaluation in soil of agricultural field around a pond of gas plant in the Kurdistan Region of Iraq.

This study was carried out to evaluate the limits of the heavy metals in soil around a produced water pond and the effect of the produced water on soil heavy metals in a gas facility in the Kurdistan Region of Iraq. The heavy metals (Cr, Mn, Fe, Co, Ni, Cu, Zn, As, Cd, Hg and Pb) were analyzed from soil samples taken from different distances of (5, 10, 15, 20 and 25) meters from the pond. The experiment was designed in complete randomized design with 4 replications. The results showed that there were significant differences of mean values for some of the heavy metals in relation to the distances (Ni, Zn, Cu, Pb, Co). The limits of the heavy metals were then compared to maximum permissible limit (MPL) values of the heavy metals in soil by World Health Organization and Environmental Baseline Survey. It was evident that some of the heavy metals were within the normal range (Pb, Hg, Cd and Cu) and the others exceeded the normal range in the soil (Zn and Cr).
B5.2 - Multi-sensor Systems for Safety-related Monitoring

The benefits of combining different types of sensors to multi-sensor systems should be demonstrated by means of three different examples of actual developments carried out by BAM Federal Institute for Materials Research and Testing: a micro-drone for gas measurement in hazardous scenarios, sensor enabled RFID tags for safeguard of dangerous goods, and a multifunctional sensor for spatially resolved under-surface monitoring of gas storage areas. Objective of the presented projects is to increase the personal and technical safety in hazardous scenarios. These examples should emphasize the potential of multi-sensor systems and point to application specific challenges for the applied components and infrastructure.
Common questions and answers

Q: I have selected an orchestration that I really like. It is Soprano-Vibraphone (8), AltoFlute (92), Tenor-Strings (48) and Bass-Pipe Organ (97). If I use this with style 2 can I set the Hymnal to remember this style after I turn the power off? Can I have it choose this as the default style? A: No. A personalized style cannot be saved. But a style selected with the style button can become the new default style, if desired. To make the current style the default style, press the remote control STYLE button, 1000 and Å on the keypad. The current style will be the new default style after the power is turned off and on. You may also set the default style from the OPTIONS menu.
Prevalence of Bronchiolitis among Hospitalized Children less than Two Years in Babylon Province

Background: Bronchiolitis is one of viral lower respiratory tract infections that constitute a heavy burden to public health in the Pediatric population worldwide, which occurs most frequently before age 2 years in the winter and early spring months and most frequently induced by a viral infection (respiratory syncytial virus). Settings and Design: A survey descriptive study conducted in Babylon Province through-out the period of “1 st January 2019 to 30 March 2019” (three) special hospitals of pediatrics. Method and Materials: Non-probability “purposive” sample consists of 3374 subjects, which collected through a review of patient records for (2016, 2017, 2018) in the statistical units in Babylon hospitals. The information of data was collected retrospectively through-out the special questionnaire obtained from the patient’s sheets in the statistical unit. Statistical analysis used: The data are coded and tested by the application (SPSS) through the descriptive and inferential analysis. Results: The analysis of the study indicated that the majority of the children (62.7%) were aged (1- 6) months old who lived in rural areas, the male percentage was higher than the female. In addition, the study indicated that the prevalence of bronchiolitis progressed during the last three years. Conclusions: The study concludes that the higher morbidity of bronchiolitis was in 2018, most of them admitted to the hospital in January months. Also, the duration of hospital stay was > 4 days.
A Proximity Measurement System on FPGA for Avionic Applications

Proximity sensors are widely used in aerospace applications for controlling and monitoring the movement of mechanical systems. This thesis describes the design of a highly accurate proximity sensing system that is capable of operating in a wide distance range. The system is based on passive inductive proximity sensors that can withstand harsh environments, and, therefore, are widely used in avionic applications. Our design methodology consists of determining the best excitation method with careful considerations of computational complexity. Once the method is chosen, we create a FPGA design for sensor characterization. Finally, we create the deployment design that uses the characterization data to determine the distance between the passive sensor and the metallic target. Our experimental results show that we are able to measure distances in the range of 0–5 mm at 0.1 mm resolution with high accuracy using off-the-shelf passive sensors and FPGA. This is a major improvement over comparable proximity sensing technologies currently available for avionic applications.
Occupant behavior during a one-lane change maneuver resulting from autonomous emergency steering

The safety of vehicle occupants has evolved recently due to the market implementations of new sensing technologies that enables predicting and identifying hazardous road traffic situations and thus actively prevent or mitigate collisions. The obvious benefits of the active safety systems has also been recognized and acknowledged by the regulatory and consumer bodies responsible for transportation, and as a result, the new standards, regulations and public rewards are being introduced. The active safety systems can prevent or mitigate collisions by controlling the motion of the vehicles through autonomous actuation of either: braking, steering or both simultaneously. The autonomous control of the vehicle inevitably affects the motion of the travelling occupants with respect to the vehicle interior. Depending on the severity of the maneuver, the occupant motion may lead to non-optimal postures for the in-crash phase if the collision is unavoidable or may impair the capability of a driver to resume the control of a car after the autonomous evasive maneuver. These considerations create the direct need for developing the active systems together with passive systems with the ultimate objective to best protect the occupants. This paper presents a simulation methodology for developing new automotive safety systems in an integrative manner that ensures optimal exploitation of benefits of active and passive systems. It also presents the simulation results of the study into the occupant behavior during the emergency evasive maneuver. The investigation was performed using the combination of newly available simulation techniques for modelling the Advanced Driver Assistance Systems (PreScan software) and for modelling the real human behavior under low-g conditions (MADYMO software). The results obtained showed the severity of the out-of-position occupant postures created by the autonomous evasive system. It was also observed that the lateral acceleration, being the effect of the maneuver, may cause the driver to impact the b-pillar, and thus potentially impair the further driving capabilities. The study was performed based on the numerical simulations and some of the model components were not fully validated. Further investigations will follow and will be focused on additional validation of the method and its components and finally on quantitative assessment of the revealed problems. The presented methodology and its application for investigating the occupant behavior under low-g loading shows the relevance of developing the new safety systems in an integrative manner. The simulation methods and techniques will play significant role in the integrated safety systems development processes, allowing to test the conditions of high complexity in order to represent the real life scenarios and thus ensuring better occupant protection.
Environmental Cambodia: An Open Source GIS Approach to Web Mapping

The Open Source GIS Software is growing in popularity within geo-informatics community. The software with a strong momentum, such as Minnesota Mapserver, PostgreSQL/PostGIS, GRASS GIS, and GDAL/OGR packages, have begun offering a technically competitive and open-source alternative solution to the proprietary software. This paper illustrates such an Open Source GIS solution to Web mapping service, by which the data preprocess and the construction of prototype system both used merely open source GIS software. Although this system serves Environmental Cambodia on the Web, the methodology can be applied elsewhere for similar processes.
Linear and non linear coupling effects in sequence of microresonators

My work was carried out with the aim of devising and characterize novel integrated devices for signal routing in optical networks on chip. Several type of optical microresonators, both in a single and coupled configuration (CROW, SCISSOR), are discussed starting from the fundamental theory till dealing with novel configurations. The coupling between a Mach-Zehnder interferometer and such configuration of microresonators is also investigated. Since the used material platform is the silicon on insulator (SOI), an in depth study of the microresonators behaviour has demanded an investigation in both in the linear and non-linear regime. All devices were fabricated through a standard CMOS facility by using deep UV lithography in order to verify the reliability of resolution and throughput similar to those required for commercial applications. Particular attention has been paid in the study of structures robust with respect to manufacturing defects. All the steps necessary to develop a device for integrated optics are studied in deep: device conception, device simulations through analytic and FEM simulations, GDS mask design, experimental characterizations. All the devices parameters are carefully reported to allow the reproduction of the experimental results. Where it was possible, suggestions on how to improve the fabricated devices performance were given.
InSight: Measuring the Martian Heat Flow Using the Heat Flow and Physical Properties Package (HP^3)

The InSight Discovery-class mission to study the martian interior will deliver a geo-physical package to the surface of Mars in 2016. The primary payload of the InSight lander consists of a seismometer and the HP3 heat flow probe [1,2]. InSight will thus address fundamental questions of martian geophysics. The main mission goals are the determination of the size, physical state, and composition of the core and mantle, the thickness of the crust, and the thermal state of the martian interior. HP3 will measure the heat flow at the landing site in Elysium Planitia (139oE 1oN), and thereby provide an important baseline to constrain mantle potential temperatures and the bulk abundance of heat producing elements in the martian interior
Designing efficient wireless power transfer networks

The techniques of wireless power transfer has been gaining increasing popularity in the recent years due to the widespread use of mobile electronic devices such as laptops, mobile phones, wearable electronics and wireless sensors. Traditionally, these devices are powered using a battery that needs to be recharged. Wireless power transfer has the potential of enabling new applications of those and many different devices, where it is not possible to use the battery (e.g. due to its size or weight), or where recharging the battery using a wired charger is not practical (e.g. wireless sensor networks). In this thesis we investigate Wireless Power Transfer Networks (WPTNs). These are the networks of wireless power transmitters and receivers that are connected together in a network with the goal of increasing network efficiency through maximizing charging of receivers while minimizing the consumption of energy in the network. In this thesis, the architecture of devices in such WPTNs has been proposed. Subsequently, a physical prototype of such networks has been designed and build. Finally, two fundamentally different approaches to achieving high efficiency has been proposed and analyzed in this thesis. After designing and creating the proof-of-concept WPTN system, its performance has been analyzed, modeled mathematically and verified experimentally. A number of performance measures of WPTNs has been proposed and two approaches to solving the optimization goal of WPTNs have been compared using these measures. Finally, certain conclusions have been drawn on the trade-offs between the first --- simpler approach, and the second --- more complex approach.