Miracle-dz/UniFAR-FTUs huggingface dataset:
SIDE FRICTION FOR SUPERELEVATION OF HORIZONTAL CURVES. VOLUME 1. EXECUTIVE SUMMARY REPORT. FINAL REPORT

The basic objective of this study has been to address the issue of how adequate point-mass representations are in predicting friction requirements for actual vehicles operating along superelevated curves. The project focused on this and related questions by combining computer analysis and full-scale vehicle testing. An existing comprehensive computer model used for predicting transient or nonsteady maneuvering situations was also employed to analyze friction demand while maneuvering along superelevated curves. Highway tests were then performed for two passenger cars and a five-axle tractor-semitrailer to collect representative test data and assist in validating the predictions of the computer models. Finally, a sensitivity analysis was performed to illustrate the relative importance and interactions of various vehicle parameters and highway geometrics in influencing side friction requirements.
Knowledge Transfer from Map to DNN: Use of Graph Convolutional Neural Network for Augmenting Visual Robot Self-localization System

Graph-based scene model has been receiving increasing attention as a flexible and descriptive scene model for visual robot self-localization. In a typical self-localization application, objects, object features, and object relationship in an environment map are described respectively by nodes, node features, and edges in a scene graph, which are then matched against a query scene graph by a graph matching engine. However, its overhead for computation, storage, and communication, is proportional to the number and feature dimensionality of graph nodes, and can be significant in large-scale applications. In this study, we observe that graph-convolutional neural network (GCN) has a potential to become an efficient tool to train and predict with a graph matching engine. However, it is non-trivial to translate a given visual feature to a proper graph feature that contributes to good self-localization performance. To address this issue, we introduce a new knowledge transfer (KT) framework, which introduces an arbitrary self-localization model as a teacher to train the student, GCN-based self-localization system. Our KT framework enables lightweight storage/communication by using compact teacher's output signals as training data. Results on RobotCar datasets show that the proposed method outperforms existing comparing methods as well as the teacher self-localization system.
Role of management modalities in control and development of complications in diabetic patient ,in Thi-Qar province

: Background : Diabetes mellitus keeps on developing in worldwide pervasiveness and consume amount of health care resources. The management of diabetes incorporates capacity to change lifestyle, and physical activity. Objectives: Evaluate of management role (counting adherence) in control status and appraisal of adherence in control status of diabetic. Method: A cross-sectional design was used a convenience sample of 139 subjects with type 1, type 2 diabetes, ≥25 years old, included residents of the community in the city of Nasiriyah only registered in the Diabetes Center for both gender (62male and77female), between March and September 2016.Questionnaire sheet was used designed for collect data. Results: The study results indicated that the persons with a mean age of 50.01 ±12.4years, the cause of disease for participants' more than half of them are hereditary ( n= 88;63.3%), Considering the uncontrolled more than half of them ( n = 102 ; 73.4% ), less than half of them is within 10-14.9years duration of disease ( n= 46; 33.1%), more than half of them are used double hypoglycemic drug and poorly controlled in HbA1c ( n= 111 ; 79.9%), ( n =83 ;59.6%); respectively; there is a significant association of HbA1c with type of drug, significant association between determinants and duration of disease and type of drug with level of p-value ≤ 0.05. Conclusions . The majority of subjects haven’t their diabetes controlled; their low self-efficacy, and decline self-management. Therefore, strategies to promote self-management for patients are essential components of diabetes education programs,
Semiconductor and Electronic Devices

Semiconductors and their preparation for engineering use crystal structure and valence model of a pure and doped semiconductor mobility and electrical conductivity excess carriers lifetime, diffusion and transport phenomena measuring some basic electrical parameters of bulk semiconductors energy bands in solids homogeneous semiconductor in thermodynamic equilibrium the PN junction heterojunction and metal-semiconductor contacts junction diodes 1 - static characteristics the PN diode II - dynamic behaviour and computer model the field effect transistors (FETs) MOS transistors in integrated circuits amplification and switching - transistor models and equivalent circuits the bipolar transistor - structure, operation, large-signal model and maximum ratings the bipolar transistor II - models, integration and noise more integrable devices of the silicon and GaAs families semiconductors and integrated circuit technology introduction to integrated circuits power semiconductor devices microwave semiconductor devices semiconductors in optoelectronics devices of the future.
Simple techniques for piezoelectric energy harvesting optimization

Piezoelectric energy harvesting is a promising technique for battery-less miniature electronic devices. The object of this work is to evaluate simple and robust approaches to optimize the extracted power. First, a lightweight equivalent circuit derived from the Mason equivalent circuit is proposed. It’s a comprehensive circuit, which is suitable for piezoelectric seismic energy harvester investigation and power optimization. The optimal charge impedance for both the resistive load and complex load are given and analyzed. When complex load type can be implemented, the power output is constant at any excitation frequency with constant acceleration excitation. This power output is exactly the maximum power that can be extracted with matched resistive load without losses. However, this wide bandwidth optimization is not practical due to the high sensitivity the reactive component mismatch. Another approach to improve power extraction is the capability to implement a network of piezoelectric generators harvesting on various frequency nodes and different locations on a host structure. Simulations are conducted in the case of direct harvesting on a planar structure excited by a force pulse. These distributed harvesters, equipped with nonlinear technique SSHI (Synchronized Switching Harvesting on Inductor) devices, were connected in parallel, series, independently and other complex forms. The comparison results showed that the energy output didn’t depend on the storage capacitor connection method. However, only one set of SSHI circuit for a whole distributed harvesters system degrades the energy scavenging capability due to switching conflict. Finally a novel non-linear approach is proposed to allow optimization of the extracted energy while keeping simplicity and standalone capability. This circuit named S3H for “ Synchronized Serial Switch Harvesting” does not rely on any inductor and is constructed with a simple switch. The power harvested is more than twice the conventional technique one on a wide band of resistive load.
Current options and future directions of systemic therapy for advanced biliary tract cancer

Biliary tract cancers (BTCs) are aggressive tumors arising from different portions of the biliary tree and classified according to the anatomical location in intrahepatic (i) cholangiocarcinoma (CCA, iCCA), perihilar CCA (pCCA), and distal CCA (dCCA), gallbladder cancer (GBC), and ampulla of Vater cancer (AVC). Due to their silent behavior, BTCs are frequently diagnosed at advanced stages when the prognosis is poor. The available chemotherapeutic options are palliative and unfortunately, most patients will die from their disease between 6 and 18 months from diagnosis. However, over the last decade, amounting interest has been posed on the genomic landscape of BTCs and deep-sequencing studies have identified different potentially actionable driver mutations. Hence, the promising results of the early phase clinical studies with targeted agents against isocitrate dehydrogenase (IDH) 1 mutation or fibroblast growth factor (FGF) receptor (FGFR) 2 aberrations inintrahepatic tumors, and other agents against humanepidermal growth factor receptor (HER) 2 overexpression/mutations, neurotrophic tyrosine receptor kinase (NTRK) fusions or B-type Raf kinase (BRAF) mutations across different subtypes of BTCs, have paved the way for a “precision medicine” strategy for BTCs. Moreover, despite the modest results when used as monotherapy, beyond microsatellite instability-high (MSI-H) tumors, immune checkpoint inhibitors are being evaluated in combination with platinum-based chemotherapy, possibly further expanding the therapeutic landscape of advanced BTCs. This review aims to provide an overview of the approved systemic therapies, the promising results, and the ongoing studies to explore the current and future directions of advanced BTC systemic treatment.
Effect of long-term sleep disruption on cognitive function and brain amyloid-β accumulation: a case-control study

Background: Recent evidence indicates that disrupted sleep could contribute to the development of Alzheimer’s disease by influencing the production and/or clearance of the amyloid-β protein. We set up a case-control study to investigated the association between long-term work-induced sleep disruption, cognitive function, and brain amyloid-β accumulation.Methods: We recruited 19 male maritime pilots (aged 48-60 years) with chronic work-related sleep disruption and a sex-, age and education-matched control sample (n=16, aged 50-60 years) with normal sleep. Primary sleep disorders were ruled out with in-lab polysomnography. Additional sleep measurements were obtained at home using actigraphy, sleep-wake logs, and a single-lead EEG device. Cognitive function was assessed with a neuropsychological test battery sensitive to early symptomatic Alzheimer’s disease. Brain amyloid-β accumulation was assessed in maritime pilots using 18 F-flutemetamol amyloid PET-CT.Results: Maritime pilots reported significantly worse sleep quality (Pittsburgh Sleep Quality Index (PSQI)=8.8±2.9) during workweeks, compared to controls (PSQI=3.2±1.4; 95% CI 0.01 to 2.57; p =0.049). This was confirmed with actigraphy-based sleep efficiency (86% ±3.8 vs. 89.3% ±4.3; 95% CI 0.43 to 6.03; p =0.03). Home-EEG recordings showed less total sleep time and deep sleep time during workweeks compared to rest-weeks (TST: 318.56 (250.21–352.93) vs. TST: 406.17 (340–425.98); p =0.001; DST: 36.75 (32.30–58.58) vs. DST 51.34 (48.37–69.30); p =0.005)). There were no differences in any of the cognitive domains between the groups. Abnormal amyloid-β accumulation was ruled out, showing mean global cortical standard uptake value ratios in the normal range (1.009 ±0.059; 95% CI 0.980 to 1.037), confirmed by visual reads.Conclusions: Capitalizing on the particular work-rest schedule of maritime pilots, we show that long-term intermittent sleep disruption is not associated with brain amyloid accumulation or cognitive decline.
A study into the use of self-efficacy and confidence measurements

This thesis focuses on an aspect of the professional work of the author: that of the training of local trade union representatives by trade unions to ensure they are competent, capable and confident in the delivery of their role in local workplaces. It considers the four levels of evaluation of training outlined by Kirkpatrick (1994) and proposes the use of confidence scales as a means of demonstrating levels of evaluation in this field of training. Trade unions are reliant on the many members that volunteer to be local (unpaid) representatives in their own work places. To ensure the union provides an adequate service to its fee paying membership it needs to support and train its volunteers so they become competent, capable and confident in their roles. This research considers the effects on those volunteers who have attended training courses provided by the union trainers. It draws on the research on confidence levels and examines practice from a range of trade unions across European countries. Three types of training course are the focus for the study; as the thesis will look at whether or not the confidence levels of trade union representatives differ depending on the type and delivery method of the course they attend and whether or not this will have an impact on their post-course behaviour in the workplace. A research tool (questionnaire) was developed to measure the responses of participants attending courses and the results compared using Chi-square statistical tests to consider any results that were of statistical significance. The study concludes that statistically significant higher confidence levels are reported on the 2+2+2 mode of delivery of the six day training course in comparison to either the traditional 5 day or the mixed method modes of delivery. It recommends the use of confidence measures as a useful concept in the evaluation of training courses for union representatives as a way of improving value for money and return on investment for unions and a better developed trade union representative for the future.
The Performance of Risk Management and Innovation in Construction Manager/General Contractor Delivery in Civil Construction Applications

The Performance of Risk Management and Innovation in Construction Manager/General Contractor Delivery in Civil Construction Applications Rebecca M. Owens School of Technology, BYU Master of Science Project teams that deliver high risk, complex projects in the civil construction industry need tools to enable successful delivery. Construction Manager/General Contractor (CM/GC) is an innovative alternate delivery method, providing one such a tool. CM/GC furnishes public agencies with an attractive option for delivering projects in a less adversarial and more constructive manner by involving the contractor during design. The sophisticated public owner does not have to relinquish control of the details of the design in order to accelerate the schedule or see the benefits of real-time cost estimating data. There are also significant cost and schedule benefits with not degradation in quality. However, because CM/GC is relatively unknown to the civil construction industry much remains to be investigated about how CM/GC processes effect successful project delivery. This research investigated how CM/GC processes affect the three critical elements of construction process risks (including quality, schedule, cost and collaboration), project specific risks, and innovation. By identifying the processes that benefit these elements, successes can be repeated and increased. Additionally, an understanding of the differences in the perception of CM/GC processes, given by contractors, owners, and design engineers, provided perspective into improving the process. Analyzing data on current CM/GC projects and programs, as well as the compiled experience of field-experienced project teams, provided the information the industry needs to pursue implementation. Identified advantages of the process can be tied to strategies for successful delivery. Identified disadvantages expose barriers to implementation to be overcome by the project team. Project teams state that while the process does have disadvantages, many are perceptional and not fatal flaws to the method. Findings of this research link CM/GC processes to robust risk management results and the opportunity for successful innovation.
EFFECT OF RAISED PAVEMENT MARKERS ON TRAFFIC PERFORMANCE

This project measured and documented the effect that snowplowable raised pavement markers (SRPMs) have on the behavior of traffic at certain geometric highway conditions. Two-lane rural curves, highway exits with deceleration lanes, and highway bifurcations were studied. Measures of performances selected to study the effects of the markers included erratic maneuvers such as cutting through painted gores, lane changes or encroachments, center and edgeline encroachments, point of entrance into deceleration lanes, and mean speeds and speed variance at curves. All erratic maneuvers studied were reduced significantly at various sites for traffic volumes per lane of up to 500 vehicles/h. At volumes per lane of between 900 and 1000 vehicles/h the markers had no effect on traffic. Raised markers were not successful in causing motorists to enter deceleration lanes at exits earlier. As far as speeds, the markers seem to have caused a smoother speed profile through the two curves studied, which resulted in less abrupt speed changes. The effect of SRPMs on speed variance was inconclusive. The markers were effective in reducing erratic maneuvers at sites with and without overhead lighting. At one site a significantly higher rate of erratic maneuvers during rain conditions before the markers were placed was not only severely reduced but the wet condition erratic maneuver rate approached the quality of the dry condition rate when markers were present. (Author)
Travelling facts : the social construction, distribution, and accumulation of Knowledge

"Travelling Facts" explores the production and distribution of facts: their life cycles as well as the material networks through which they travel. Acknowledging that facts are fallible and originate primarily in isolated laboratories and field sites, the volume includes discussions about how facts are reassembled into practical knowledge, how they translate locally, and what lessons may be learned from those who attempt to regulate fact production and circulation in the face of the marked acceleration and expansion of the digital technologies worldwide.
Impact of Stages of Harvesting and Threshing Methods on Moisture, Protein and Oil Content of Soybean [Glycine max (L.) Merrill] cv. DSb-21

Soybean is an important oil seed crop and is an annual legume. It is originated in China and classified as an oilseed rather than a pulse by the UN Food and Agriculture Organization and is popularly known as „Meat of fields‟ in china and also as “Miracle crop” due to its high protein (42-45 %) and oil (19-20 %) content. It is important oil seed crop accounts for 30 percent of the world edible oil production and its protein is composed of 10 properly balanced amino acids.
Effect of Adding Emotion Recognition to Film Teaching—Impact of Emotion Feedback on Learning through Puzzle Films

In this study, the scientific puzzle film, “Story of the Comet”, is taken as a case to implement scientific teaching to guide students to find correct answers, through which it can train their learning and judging abilities. The students in the experimental group received the scientific teaching guiding system of the puzzle film “Story of the Comet” with a facial emotion recognition system to recognize the emotional reaction of the subjects at the moment. According to their facial expressions of “disgust”, “sadness”, or “joy” appearing in the moment, the system presented differently captioned positive encouragement cards particularly designed for four different levels, for when the subjects answered the questions incorrectly at different levels and their emotions were detected at the same time. Furthermore, the positive encouragement cards encouraged the subjects to complete the puzzle film learning process. The subjects were students in the higher grades of Grade 5 and Grade 6 in elementary school. A total of 130 students participated in this experiment and were randomly divided into two groups. Both the control group (i.e., the group without emotion recognition) and the experiment group (i.e., the group with emotion recognition) received a before-watching test of learning effectiveness. After implementing the scientific teaching of the puzzle film “Story of the Comet”, both the control group and the experimental group also received an after-watching test of learning effectiveness. Finally, the subjects filled out a “learning satisfaction” questionnaire, “system availability” questionnaire, and “system satisfaction” questionnaire. The analysis of the results of the two groups’ tests and questionnaires: a comparative analysis of learning effectiveness indicates that there is a statistically significant difference between the choice answers of the two groups after the interactive teaching; for the experimental group, the average correct answers in the after-watching test was 5.86, which is 2.48 more than the before-watching test; that of the control group was 4.74, which is 1.47 more than the before -watching test. For comparative analysis of questionnaires for “learning satisfaction” and “system satisfaction”, the statistical data analysis indicates that the experimental group was more satisfied than the control group.
UNSTEADY AIRFLOWS IN RAPID TRANSIT SYSTEMS. PART 1: MEASUREMENTS ON THE LONDON TRANSPORT VICTORIA LINE. PART 2: THEORETICAL BACKGROUND AND DESIGN PARAMETERS

Part 1: the measurement of pressure fluctuations on the London Transport Victoria line is described and results are presented in sufficient detail for accurate comparisons to be made with theoretical models. Measurements were obtained during the night-time shut-down period, and so complicating effects due to other trains are absent. The results give a clear indication of the relative importance of several events such as entry to and exit from a station. The effectiveness of cross-passages for draught relief is clearly demonstrated. A computer program is used to simulate the airflows, and satisfactory correlation is obtained with the measured results at different train speeds. The program is used to predict system characteristics that were not measured during the tests. It is found that platform wind velocities and passenger pressure histories do not violate recommended acceptable limits even when the train passes through the station at 65 km/h without stopping. Part 2: the principal aerodynamic effects in a rapid transit system are predicted by use of a computer program. Account is taken of the influence of cross-passages, ventilation shafts, cross-overs and stations, etc., on the airflows generated by any number of trains travelling along any routes with any speed histories. Very few empirical coefficients are needed to obtain satisfactory correlations with experimental data. The program is used to investigate the relative influence of important system parameters, and skin friction is found to have a particularly strong effect. It is shown that the tunnel system can be considerably simplified in the numerical simulation without serious loss of accuracy, but that account must be taken of local cross-passages and ventilation shafts. (a)