Miracle-dz/UniFAR-FTUs huggingface dataset:
ACCESSIBLE TRANSPORTATION AND MOBILITY

This paper addresses the subject of accessible transportation and mobility. The discussion begins by pointing out what accessible transportation encompasses: Public transport services; Intercity, regional, national, and international transport by motor coaches, railway, marine vessels, and aircraft; Intermodal linkages; Personal vehicles; and Pedestrian infrastructure. Also pointed out are the concepts that have taken 30 years to develop and are generally accepted throughout the developed world: Impairments only become barriers when the environment in general, and the transportation system in particular, creates demands that the individual cannot meet; Accessibility should be achieved through thoughtful design and system planning for the whole population; Mobility achieved by uncomfortable, dangerous, or undignified means is not acceptable; and Independence and the mobility required for independent living are rights.
Parsley

PARSLEY is an extract produced from the leaves and stems of Petroselinum crispum. It is a short-lived perennial herb that is a member of the carrot family. The herb PARSLEY provides dietary calcium, iron, riboflavin, thiamine, carotenes, ascorbic acid, and vitamins A and C. It is very effective in aiding detoxification of the liver, kidneys, lymphatic system and the ground matrix. PARSLEY is commonly used in conjunction with antimicrobials produced by NutraMedix like Samento, Houttuynia, Banderol, Cumanda, Enula, and Mora. Many health care professionals have reported that PARSLEY can be used in place of 4 or 5 other detoxification remedies. In many cases, a significant healing crisis (Herxheimer's reaction) can be dramatically reduced or eliminated by taking 10 drops of PARSLEY approximately every 10 minutes for an hour or two.
De Novo Chiari I Malformation and Syringomyelia Arising from Enlarging Posterior Fossae Meningioma: Case Report and Discussion

The authors believe this is the first described case completely illustrating the de novo development of Chiari I Malformation and associated syringomyelia in a patient with posterior fossae meningioma. The case demonstrates and supports current theories regarding Chiari I malformations and the pathophysiology of syringomyelia.
Monitoring & Controlling of Information against Unethical Hacking using Effective Machine
Learning Techniques

Many services are currently utilizing AI estimates to pick high-stake options. Determining the proper selection unequivocally relies on the rightness of the relevant information. This fact offers encouraging motivators to hackers to attempt to mislead Artificial Intelligence estimations through managing the relevant information that is taken care of to the estimates. But at that point, standard AI computations are certainly not wanted to become protected while encountering surprising details resources. At the moment, deal with the concern of ill-disposed AI; i.e., our experts will most likely generate risk-free AI calculations robust within the attraction of a loud or an adversely managed information. Ill-disposed Artificial Intelligence will be even more screening when the perfect turnout has a mind-boggling framework. At this moment, noteworthy limelight gets on adversarial AI for preparing for organized returns. To begin with, our team build up yet another calculation that dependably carries out accumulated collection, which is an organized expectation concern. Our discovering approach works and also is described as a curved square system. This method is sure about the desire calculation in both the closeness as well as the absence of an opponent. Next off, our team looks into the problem of criterion learning for strenuous, coordinated projection models. This technique develops regularization capacities dependent on the restrictions of the adversary. Now, illustrate that durability to the command of details corresponds to some regularization for a tremendous edge arranged assumption and the other way around.A typical device commonly either requires more computational capability to structure a clear-cut best assault, or it doesn't have adequate records about the trainee's design to accomplish, therefore. Consequently, it routinely tries to use many unnatural changes to the payment to a desire to bring in an accomplishment. This reality advises that on the occasion that our experts confine the usual lousy luck job under ill-disposed commotion, we will get vitality against ordinary opponents. Failure preparing seems like such an outcry mixture circumstance. Our experts calculate a regularization technique for an enormous edge parameter, discovering depending on the failure system. We stretch out dropout regularization to non-straight parts in a handful of oneof-a-kind means. Empirical analyses show that our systems reliably pounded the standards on a variety of datasets. This proposition integrates a recently dispersed and individual coauthored component.
Why teachers make use of ICT in education

This study investigates teachers in the Swedish ten-year compulsory school who use ICT (Information and communication technology) in their classroom practice. It poses and gives answers to questions about what is contributing most to explain why they choose to use computers and information technology in their work with students/pupils and uses multiple regression analysis in order to investigate the best pattern of predictive variables. A significant model emerged suggesting that teachers using ICT with students were interested in changing their classroom practice. They also felt self-efficacious in using computers in education and they have positive attitudes toward using ICT in education. The present investigation differs from other studies in that it examines teachers who already are using technology in their classroom practice and it could be seen as a building block in the development of knowledge about how teachers can become more competent and confident in using ICT in their pedagogical work in classroom practice.
Visual Detection for Android Malware using Deep Learning

The most serious threats to the current mobile internet are Android Malware. In this paper, we proposed a static analysis model that does not need to understand the source code of the android applications. The main idea is as most of the malware variants are created using automatic tools. Also, there are special fingerprint features for each malware family. According to decompiling the android APK, we mapped the Opcodes, sensitive API packages, and high-level risky API functions into three channels of an RGB image respectively. Then we used the deep learning technique convolutional neural network to identify Android application as benign or as malware. Finally, the proposed model succeeds to detect the entire 200 android applications (100 benign applications and 100 malware applications) with an accuracy of over 99% as shown in experimental results.
Mentoring experiences among midshipmen at the United States Naval Academy

Abstract : This study investigated mentoring and midshipmen at the United States Naval Academy (USNA). The mission of the Naval Academy is essentially to develop leaders, and mentoring is closely related to leadership. Therefore, this study looked at possible correlations between mentoring and midshipmen at USNA. Specifically, the extent of mentoring on midshipmen at USNA, the degree of influence mentors had on midshipmen, salient features of USNA mentors, and other psychosocial outcomes of mentoring on midshipmen were investigated in this study. This study suggests midshipmen generally accept mentoring as an important concept, but only 45% of USNA midshipmen have mentors. Female midshipmen were more likely to have a mentor at USNA than their male counterparts. USNA mentors were typically older than their protege, Caucasian, male and in the military. Peers were most trusted and utilized as mentors. This study also suggests that midshipmen having mentors were more satisfied with USNA, more likely to mentor others, and more likely to hold a leadership position on a sports team or in an extracurricular activity (ECA).
A model endeavor

Traffic microsimulation analysis tools can model real-world transportation networks on a systemwide scale that is difficult with more traditional methods. This article describes a public-private partnership that is working to improve traffic microsimulation technology. Under the Next Generation Simulation (NGSIM) program, the Federal Highway Administration is sponsoring fundamental traffic simulation research through the development of a core of driver behavior algorithms to help improve the capacity and accuracy of commercial microsimulation software. These algorithms represent the fundamental logic in traffic microsimulation models. The NGSIM team is composed of traffic simulation and modeling experts managed by a private company. The team is supported by senior advisers from respected transportation institutions across the country and includes 3 stakeholder groups: a traffic modelers group, a software developers group and a model users group. A freeway lane selection algorithm has already been developed by the team, and 3 additional driver behavior algorithms are in development. Supporting documentation and validation datasets will also be developed. NGSIM products will be well documented, openly distributed and free to the transportation community through a Web site.
Food Intake and Energy Expenditure of Sailors at a Large Naval Base

Abstract : Estimates were made of the availability, wastage and intake of food, and of the energy expenditure of a cohort of eleven sailors over a seven day period at HMAS Albatross, a large Naval base. In addition, an attempt was made to estimate energy expenditure for an additional period of approximately nine days. Five members of the cohort were classified as the 'active group' and the remaining six were 'inactive'. Two methods were used to estimate energy expenditure - the doubly-labelled water technique and an 'intake/balance' study. The results below are expressed as kilojoules (kJ) per person per day. Food availability averaged 20 000 kJ, based on the number of sailors who actually ate at the mess. Based on victualling strength, food availability was about 10 100 kJ. Wastage of food amounted to 24% of food availability. Mean food intake was 13 400 kJ with a standard deviation (SD) of + or - 3 925 kJ. Food intake varied from 9 190 kJ (sedentary female) to 20 030 kJ (male triathlete). Energy expenditure by doubly-labelled water averaged 13 850 + or - 2 510kJ; the result by the intake/balance method was 13 200 + or - 4 265 kJ. It is concluded that food availability is more than adequate to meet requirements at current attendance rates. Food wastage during the period of this study was high. Suggestions are given on reducing fat and salt intake, and improving the retention of heat-labile vitamins in cooked foods. Finally, it is concluded that seven days is an appropriate period to study the energy expenditure of active and inactive subjects using the doubly-labelled water technique.
Life Cycle Assessment of Asphalt Pavement Maintenance

This study aims at developing a life cycle assessment (LCA) model to quantify the impact of pavement preservation on energy consumption and greenhouse gas (GHG) emissions. The construction stage contains material, manufacture, transportation and placement phases. The Highway Development and Management (HDM-4) model and the Motor Vehicle Emission Simulator (MOVES) were used to analyze fuel consumption and emissions treated by different preservation treatments. Surface characteristics such as roughness, texture and deflection were taken into account in tire rolling resistance. The thin overlay was found to have the highest energy consumption and emissions among four preservation treatments during construction stage, but at the same time resulted in the greatest reduction of energy and emission at usage stage. If only construction stage is considered, energy and emissions are ruled by use of amount of material and manufacture process. The reductions of GHG emission at usage stage are much greater than the GHG emission produced at construction stage for all preservation treatments. Excluding the usage stage will omit the fact that construction stage has less impact on pavement LCA than usage stage. The study results provide valuable insights in selecting sustainable pavement maintenance strategies from an environmental view point.
Injury data from unhelmeted football head impacts evaluated against critical strain tolerance curves

Concussion is a prevalent injury in collision and contact sports, but the biomechanics of concussion has mainly been assessed for helmeted head impacts. Concussion and no-injury cases had previously been reconstructed using rigid body simulations from a larger video database of unhelmeted head impact cases from Australian rules football, rugby union and rugby league. The KTH finite element human head model was used to simulate the 27 concussion and 13 no-injury cases, and the maximum principle strain levels in the corpus callosum were evaluated. The rotational kinematics and strain levels were compared to critical strain tolerance curves and reconstructed pedestrian impacts from the literature. It was found that the 5% critical strain tolerance curve equated to a maximum principal strain level of approximately 0.20 and was associated with concussive impacts involving prolonged loss of consciousness. The results suggest rotational kinematics above 4500 rad/s2 and 33 rad/s for peak resultant angular acceleration and maximum change in resultant angular velocity, respectively, as tentative tolerance levels for concussion involving prolonged loss of consciousness. Cases involving short duration or no loss of consciousness had similar rotational kinematics and strain levels in the corpus callosum, suggesting that these injuries are of similar severity. The findings support the hypothesis that sports concussions share some biomechanical characteristics with diffuse axonal injury.
Strategy Analytics InsightCurrent Status & Future Prospects for GaAs

Whilst silicon technologies will continue to impinge on GaAs markets, GaAs technology will continue to play a pivotal role in the cellular handset market, increasing its penetration of PA applications and retaining a near 100 percent penetration of the switch IC segment. WLAN and millimetre-wave auto RADAR applications will provide emerging growth opportunities for the GaAs industry. Overcapacity remains a problem in the GaAs device industry and the market will see continuing consolidation.
Dry Friction and Impact Dynamics in Railway Vehicles

This thesis develops a mathematical model of a Hbbills 311 freight wagon. Central to this model is the UIC double-link suspension which incorporates a parabolic leaf spring. The lateral and longitudinal dynamical model of the UIC suspension is based on theory by Jerzy Piotrowski. This model successfully takes into account damping due to dry friction in the suspension links. Parameter identification for Piotrowski's model was performed in Warszaw, Poland, on real UIC double linkages. Two sets of parameters were used, the first emphasizing frequency-matching characteristics with the experimental setup, and the second matching theoretical geometric analysis of the suspension joints. Both were used in simulation. The vertical dynamical model of the UIC suspension is discussed, and several models proposed. Results were generated with the implementation of a piecewise linear spring-damper system that takes into account the progressive characteristics of the parabolic spring as well as damping due to dry friction. The wheelsets are constrained by guidance structures of the freight wagon, and the impacts involving these structures are modelled. Wheel-rail contact forces are calculated using the Shen-Hedrick-Elkins method and a wheel-rail contact geometry table (RSGEO) by Walter Kik. The wheel profile is the S1002 profile, and the rail profile is the UIC60 profile. All modelling and simulation takes place on straight and level track with a fixed gauge of 1435 mm. Low frequency stability dynamics analysis is carried out. The model is implemented through C++ programming, accessed through the command line or a Java GUI, and results analyzed with MatLab.
Illuminating the Effects of the US-China Tariff War on China's Economy

How much has the US-China tariff war impacted economic outcomes in China? We address this question using high-frequency night lights data, together with measures of the trade exposure of fine grid locations constructed from Chinese firms’ geo-coordinates. Exploiting within-grid variation over time and controlling extensively for grid-specific contemporaneous trends, we find that each 1 percentage point increase in exposure to the US tariffs was associated with a 0.59% reduction in night-time luminosity. Combining these with structural elasticities that relate night lights to economic outcomes, we find that this negative impact was highly skewed across locations: While grids with negligible direct exposure to the US tariffs accounted for up to 70% of China’s population, we infer that the 2.5% of the population in grids with the largest US tariff shocks saw a 2.52% (1.62%) decrease in income per capita (manufacturing employment) relative to unaffected grids. By contrast, we do not find significant effects from China’s retaliatory tariffs, and offer suggestive evidence of several channels through which Chinese firms might have mitigated the impact of tariffs on imported inputs. We obtain similar findings from a parallel analysis conducted at the prefecture level, indicating that these grid-level impacts had discernible negative aggregate consequences.
Designing Collaboration Tools to Optimize Distributed Battlespace Synchronization

Abstract : Military organizations rely on teams to accomplish complex task objectives. One way to promote team effectiveness is through team training such as cross-training. The current study investigated the influence of cross-training on performance and team process factors (collective efficacy, communication, cohesion, and team trust). Thirty participants engaged in a command and control air defense simulation and team process measures were assessed across four days of data collection. Cross-training influenced trust but not as expected. Individuals on cross-trained teams reported lower trust over time relative to individuals on non-rotated teams. Implications for research are discussed.
Modeling Airport Ground Operations using Discrete Event Simulation (DES) and X3D Visualization

Abstract : Almost all flight simulators are centered on the problems that can occur during flight, whereas airport ground traffic problems are seldom addressed and are growing considerably. A number of precautions have been directed by the U.S. Federal Aviation Administration (FAA) to overcome these challenges, such as pilot training and adding taxiway indicator signals to help pilots follow specific paths when taxiing. Further work is needed. This thesis simulates the problem of Ground Traffic incursions. Discrete Event Simulation (DES) and the Viskit tool are used to build two scenarios describing the takeoff and the landing maneuvers including potential ground incidents. It also presents the different techniques used to build 3D graphics models for the airplanes and the airport environment using Extensible 3D (X3D) graphics. After running the simulation a number of times with different parameters, collected data support basic analysis and potential conclusions. This approach demonstrates a proof-of-concept capability worthy of future work.
Quantization Noise in A/D Converters

This chapter contains sections titled: Introduction Uniform Quantization Additive White-Noise Approximation Characteristic Function Method Pulse Code Modulation Quantization Noise Dithered PCM Single-Loop ? > ? > Modulation Two-Stage (Cascade or MASH) ? > ? > Modulation Second-Order ? > ? > Modulation Some Extensions Conclusion This chapter contains sections titled: Acknowledgments References
Evaluation and Testing of Brick Dust as a Pozzolanic Additive to Lime Mortars for Architectural Conservation

The purpose of this research is to identify an optimal methodology for determining whether a given brick dust will produce a pozzolanic reaction when combined with lime. This property will be referred to as pozzolanicity. The research required a review of the properties of pozzolanic materials, the nature of the pozzolanic reaction, and a review of existing methods for determining pozzolanicity. A testing program performed at the Architectural Conservation Laboratory at the University of Pennsylvania was designed and executed to evaluate methods for testing pozzolanicity of brick dust to determine their efficacy. An evaluation of the tests was the final result of the research, along with recommendations for ways in which this immensely valuable resource can be tested and utilized economically and sustainably for conservation work in the future. Disciplines Historic Preservation and Conservation Comments Suggested Citation: Rogers, Sara B. (2011). Evaluation and Testing of Brick Dust as a Pozzolanic Additive to Lime Mortars for Architectural Conservation. (Masters Thesis). University of Pennsylvania, Philadelphia, PA. This thesis or dissertation is available at ScholarlyCommons: http://repository.upenn. edu/hp_theses/162 EVALUATION AND TESTING OF BRICK DUST AS A POZZOLANIC ADDITIVE TO LIME MORTARS FOR ARCHITECTURAL CONSERVATION Sara B. Rogers A THESIS In Historic Preservation Presented to the Faculties of the University of Pennsylvania for Partial Fulfillment of the Requirements of the Degree of MASTER OF SCIENCE IN HISTORIC PRESERVATION 2011 ________________________________ Advisor Frank G. Matero Associate Professor of Architecture ________________________________ Program Chair Randall F. Mason Associate Professor
Flow separation from rods ahead of blunt noses at Mach number 2.72

From Summary: "An experimental investigation in the Langley Gas Dynamics Laboratory has been made of the flow separation from slender rods mounted to extend forward along the axes of symmetry of blunt-nosed bodies. The mechanism of the separation and its governing criteria are discussed. Drag data at a Mach number of 2.72 for various rod lengths and nose radii at an angle of attack of zero degrees are presented. It was found that the drag coefficients of blunt noses could be appreciably reduced by the use of protruding rods. Criteria for rod length which gives lowest drag are given. "
Three Routes Forward for Biofuels – Incremental, Transitional, and Leapfrog

Progress is being made at many existing commercial biorefineries to incrementally lower the carbon intensity of fuels. These facilities are improving efficiencies and adding new process fuels, as well as expanding into small scale cellulosic production using existing infrastructure and feedstock supply logistics. This white paper characterizes the complex landscape of biofuels into three routes: (1) an Incremental route in which progress happens at existing biorefineries, (2) a Transitional route in which “bolt-on” equipment leverages existing production facilities to process small amounts of cellulosic material, gaining experience; and (3) a Leapfrog route that focuses on major technological breakthroughs in cellulosic and algae-based pathways at new, stand-alone biorefineries. Since 2007, investments in the Leapfrog route have averaged $1.9 billion per year from federal, private equity, and corporate backers. Incremental and Transitional routes, on the other hand, have been supported through biofuel tax credits and low carbon transport fuel policies. California's Low Carbon Fuel Standard (LCFS) and the U.S. Renewable Fuel Standard (RFS) have tended to support the Incremental route. The Incremental and Transitional routes will likely achieve the greatest near-term CO2e reductions but that the Leapfrog route is ultimately needed to achieve deep, long-term reductions. Federal and state policies must continue to evolve to create an environment that ensures large-scale, low-carbon, advanced solutions are implemented.