Miracle-dz/UniFAR-FTUs huggingface dataset:
Intelligent Mobility Research at Defence R&D Canada for Autonomous UGV Mobility in Complex Terrain

Abstract : The objective of the Autonomous Intelligent Systems Section of Defence R&D Canada - Suffield is best described by its mission statement, which is "to augment soldiers and combat systems by developing and demonstrating practical, cost effective, autonomous intelligent systems capable of completing military missions in complex operating environments. " The mobility requirement for unmanned ground vehicles operating in urban settings must increase significantly if robotic technology is to augment human efforts in these roles and environments. The intelligence required for autonomous systems to operate in complex environments demands advances in many fields of robotics. This has resulted in large bodies of research in areas of perception, world representation, and navigation, but the problem of locomotion in complex terrain has largely been ignored. In order to achieve its objective, the Autonomous Intelligent Systems Section is pursuing research that explores the use of intelligent mobility algorithms designed to improve robot mobility. Intelligent mobility uses sensing, control, and learning algorithms to extract measured variables from the world, control vehicles dynamics, and learn by experience. The primary focus of the paper is to present the research tools, topics, and plans to improve the autonomy and mobility of unmanned ground vehicles operating in urban settings to assist the Canadian Forces in future urban operations.
Causes of high pressure compressor deterioration in service

The high mechanical reliability and low deterioration rate of the JT9D high-pressure compressor results in long utilization without exceeding engine operational limits. The increasing cost and decreasing supply of fuel have focused attention on the fuel burned implications of such high time use without refurbishment. The paper presents the results of JT9D high pressure compressor studies. The mechanical deterioration of the JT9D high-pressure compressor gaspath parts versus increasing service usage, documented from inspection of service parts, is presented and discussed including changes in airfoil roughness, blade length, airfoil contour and outer air seal trench characteristics. An estimate of the performance loss versus usage is related to each type of damage. The combined estimated high-pressure compressor performance loss for all mechanisms determined from part inspection is compared to historical engine test data to establish the validity of the predicted loss levels. The effect of cold section refurbishment on engine fuel consumption recovery and the results of an optimization study to determine the appropriate interval for high pressure compressor refurbishment are also reported.
Comparing the Effects of Ketorolac and Paracetamol on Postoperative Pain in Coronary Artery Bypass Graft surgery. A randomized clinical trial

Introduction Pain management after coronary artery bypass graft (CABG) surgery remains challenging. Objective This study aimed to compare the effects of Ketorolac and Paracetamol on postoperative CABG pain management. Method This double-blind randomized clinical trial study was conducted in Ahvaz, Iran, from September 2018-December 2019. Two consecutive groups of 60 patients undergoing elective on-pump coronary artery bypass graft surgery. Intervention The patients were divided into 0.5 mg/kg of ketorolac mg/dl and 10 mg/kg of Paracetamol after surgery for pain management. Primary outcomes were: visual analog pain scale (VAS) at the time point immediately after extubation (baseline) and at 6, 12, 24 and 48 hours and the total dose of morphine consumption. Secondary outcomes included the hemodynamic variables, weaning time, chest tube derange, in-hospital mortality and myocardial infarction. Statistical analysis The data were analyzed using SPSS version 22(SPSS, Chicago, IL). The Mann-Whitney U-test was used to compare demographic data, VAS scores, vital signs, and side effects. Repeated measurements were tested within groups using Friedman's ANOVA and the Wilcoxon rank-sum test. Values were expressed as means ± standard deviations. Statistical significance was defined as a p-value < 0.05. Results Compared with baseline scores, there were significant declines in VAS scores in both groups throughout the time sequence (P< 0.05). The statistical VAS score was slightly higher in the Paracetamol group at most time points, except for the time of 6 h. However, at 24 and 48 hours, the VAS score in group Paracetamol was significantly higher than in group Ketorolac. There were no significant differences between groups about hemodynamic variables. Conclusion: The efficacy of ketorolac is comparable to that of Paracetamol in postoperative CABG pain management.
Some Thoughts on Reliability of Diagnoses by Human Versus by Machine

We may make an estimation about the tendency of these errors in time one by one based on the statistical nature of these types of errors (see e.g. [5,6]). Supposing that the capacity of A.I. to handle data and to conduct repetitive calculations/ decisions is always kept greater than the capacity requirements of actual tasks, that means no technical limitation of processing the growing data set occur in time during the development of A.I.
Robot workspace sensing and control with Leap Motion Sensor

The present thesis deals with the design and testing of an appropriate software interface that allows a user to control a robot using a Leap Motion Sensor while defining and keeping a safe workspace for the robot to operate. The Leap Motion Sensor is a small device able to sense human hands above it and to keep track of them. Hence, when controlling the robot, the user will feel an interesting touch-free control experience. Distinct control modes, such as linear commandment, joint-by-joint control or specular imitation have been studied and implemented. The basis for a future teaching mode, where the robot could remember user actions and play them accordingly to fulfill a complex task has also been settled. At the same time, a precise definition of the workspace, creating a safe environment for both the robot and the user, and the contemplation on how to avoid undesired situations have been consciously considered.
Dynamic Heat Generation Modeling and Thermal Management of Electromechanical Actuators

Abstract : The heat loads in an electromechanical actuator (EMA) and an electronic unit (EU) are highly transient and localized in nature; therefore, thermal management systems (TMS) designed for time-averaged, uniform heat loads of an EMA and EU are inadequate. The heat loads of EMAs must be accurately determined and managed if EMAs are to be used as replacements to current hydraulic actuators. This report presents a dynamic heat generation model and a thermal model for a permanent magnet motor and power drive. The input to the model included a flight mission profile and an environmental temperature profile, along with the key parameters unique to the EMA. From the cases studied, it could be concluded that the heat generation profiles are indeed highly dynamic, and the major barrier to heat removal from the motor is external to the motor. Strong forced convection is needed. The model compared well with the detailed finite element analysis. The model was also used to compare its temperature predictions with temperature measurements of the motor and power drive provided by the Air Force Research Laboratory. Though the agreement was good, due to the low heat load associated with the test cases, the model could not be validated conclusively.
Fuzzy logic based autonomous parallel parking of a car-like mobile robot

This study aims at developing an autonomous parallel parking controller for a Car-Like-Mobile-Robot. In this research we have presented a Neuro-Fuzzy control strategy to back drive the car to the parking lot based on the sonar data. We have focused on the case where the parking space dimensions are not known which has not been investigated by the previous approaches. Our controller is able to decide about the motion direction at each time interval by starting form the initial position and by processing the information obtained by the sensors. On the other hand, in the traditional approaches the path is planned in offline by knowing the parking space dimensions and then will be tracked based on path tracking algorithms. The simulation results demonstrate the effectiveness of the developed algorithm and show that the proposed scheme can be considered as a step towards autonomous intelligent vehicles which can successfully adapt their parking behavior in unknown parking spaces.
Fuzzing in The Cloud (Position Statement)

In this short note, we argue that fuzzing in the cloud will revolutionize security testing. It's more than elasticity. Fuzz testing is the process of repeatedly feeding modified inputs to a program in order to uncover security bugs (such as buffer overflows). Because fuzzing is typically easy to parallelize by running multiple instances of the program under test, it benefits from the elastic nature of cloud computing: if an organization wants to perform 100,000 test iterations, it only needs machines for the required time. This elasticity means that smaller teams or smaller companies can experiment with fuzz testing without a large capital cost. Despite these benefits of elasticity, in the long run an organization that needs software security will find itself continuously testing. New releases of software need new security testing, whether by the authors of the software or by adversaries trying to find security holes. Over time, this repeated testing chips away at the " rent vs. own " argument for cloud infrastructure. An organization that does fuzz testing for each build of a piece of software will pass the break-even point for buying its own dedicated machines in a matter of months, even when the costs for cooling, administration , etc. are taken into account. Elasticity is not the " killer argument " for cloud fuzzing. It's about shared infrastructure. Instead, the major win for cloud fuzzing comes from a shared security infrastructure for the entire picture of people, processes, and tools required to build secure software. Each application must be " enrolled " in a fuzz testing infrastructure, which includes defining how new inputs are passed to the program (test harnesses/drivers), how to detect security-related bugs (runtime checkers), and how to prioritize the resulting security flaws (bug triage). Beyond security testing, this infrastructure can include training for developers, as well as functions such as timely response to reports of security flaws. At Microsoft, the Security Development Lifecycle and the Trustworthy Computing organization are examples of shared security infrastructure that have grown over a period of many years. A mature security infrastructure requires a range of human talents and organizational knowledge, and it cannot be assembled overnight. Once created, however , the marginal cost of supporting a new piece of software is relatively low. For example, once a new fuzz testing tool is available, it can be applied to applications already enrolled in the shared infrastructure without massive …
Genotoxic effect of fruit extract of wild and cultivated cucurbits using Allium cepa assay

ABSTRACT Many chemical substances in plants have the potential to be toxins, which may induce harm by altering physiological mechanisms. Allium cepa L. assay is a sensitive test used for the determination of anti-mitotic and genotoxic effects in plant extracts. Genotoxic effects of aqueous, acetone, and methanolic fruit extracts of the cucurbit species were studied using the A. cepa bioassay, of which Cucumis melo var. agrestis L. and Momordica balsamina L. are wild and C. melo. L. , C. melo. var. momordica L. , M. charantia L. , and M. dioica L. are cultivated. Onion bulbs were exposed to fruit extracts for 48 h and onion roots were examined with a microscope to determine their effect on cells. The extracts were slightly mito-depressants with a minimum mitotic index (46.20 ± 0.23%) in methanolic fruit extract of C. melo var. momordica, compared to the aqueous solution, a negative control (64.20 ± 0.12%), and 1 mg∙L−1sodium azide (NaN3) solution (22.53 ± 0.41%). The highest percentage of clastogenic aberrations was in the methanolic extract of C. melo var. momordica (11.8%) and least in the aqueous extract of C. melo var. momordica (2%). Also, mitotic abnormalities, chromosome stickiness, chromatin transfer, chromatin bridges, disorientation of chromosomes, laggards, and polar deviation occurred in root cells of A. cepa. Genotoxicity has been reported in different fruit extracts of cucurbits, which needs to be further investigated in animal models to nullify possible detrimental effects in humans.
Hosting capacity for photovoltaics in Swedish distribution grids

For planning issues, it is useful to know the upper limit for photovoltaics (PV) in the electrical grid with current design and operation (defined as hosting capacity) and how this limit can be increased. Future costs for grid reinforcement can be avoided if measures are taken to implement smart grid technology in the distribution grid.The aim of this project is to identify challenges in Swedish electricity distribution grids with a high penetration of local generation of electricity from PV. The aim is also to help Swedish Distribution System Operators (DSOs) to better understand hosting capacity issues, and to see which room for PV integration there is before there is need for actions to maintain power quality.Three distribution grids are modelled and simulated in Matlab: Rural area, Residential area and City (Stockholm Royal Seaport). Since the project is a cooperation between Uppsala University and Fortum, three different representative grids from Fortum’s grid software ”Power Grid” have been used as input to a flexible simulation program developed at Uppsala University. The simulation includes Newton-Raphson power-flow computing but has also been improved with a model of the temperature dependency of the resistance.The results show that there is room for a lot of PV systems in the Swedish grids. When using voltage rise above 1.1 p.u. voltage as limitation, the hosting capacity 60% PV electricity generation as a fraction of the yearly load were determined for the rural grid and the suburban grid. For the city grid, which is very robust, the hosting capacity 325% was determined. When using overload as limitation, the hosting capacities 70%, 20% and 25%, were determined for the same grids.
National Impact for Pre-Implementation of Smaller Learning Communities

This article clearly defines the three crucial pre -implementation principles to maximize the success of Smaller Learning Communities in large high schools. Establishing clear understanding for the need of th e SLC initiative is the first of these principles. Long term commitment to a sustained plan for relevant SLC professional learning opportunities will guarantee proper training, skills, and knowledge for those working within the SLC school. The final principle defined within this article is the establishment of a found ation for professional learning communities. The absence of any one of these princi ples can seriously affect the success of a SLC school.
Essentials of New Product Management

I. INTRODUCTION. 1. Introduction to Product Management. 2. Product Strategy and the Innovation Process. II. OPPORTUNITY IDENTIFICATION. 3. Market Definition for Entry Strategy. 4. Generating and Screening Ideas. III. DESIGN. 5. An Overview of the Design Process. 6. Mapping Consumers' Product Perceptions. 7. Product Positioning. 8. Forecasting Sales Potential. 9. Completing the Design: Product Engineering and the Marketing Mix. IV. TESTING. 10. Advertising and Product Testing. 11. Pretest-Market Analysis. 12. Test Marketing and Launching. V. MANAGING THE LIFECYCLE. 13. Managing throughout the Product Life Cycle. 14. Organizing for Product Management. 15. Concluding Themes on New Product Strategy.
Ef fect of Mg 2+ on ki net ics of ox i da tion of py rimi dines in du plex DNA by po tas sium per manga nate .

Po tas sium per manga nate ox i da tion of py rim i dine bases is of ten used to probe sin gle-stranded re gions in func tional DNA–pro tein com plexes. How ever, so far re ac tiv ity of these bases in dou ble-stranded DNA has not been stud ied quan ti ta tively. We have in ves ti gated the ki net ics of ox i da tion of py rimi dines in supercoiled pDS3 plasmid dsDNA by quan ti ta tive KMnO 4 footprinting, in con nec tion with par al lel stud ies on the ef fect of Mg 2+ on ki net ics of ox i da tion of in di vid ual thymines in the sin gle-stranded re gion of the open tran scrip tion com plex of Esch e richia coli RNA poly mer ase at a cog nate Pa pro moter con tained in this plasmid. Rate con stants of ox i da tion for py rimi dines, kj, in se lected re gions of pDS3 DNA, in clud ing Pa pro moter, were de ter mined un der sin gle-hit re ac tion con di tions in the ab sence and pres ence of 10 mM MgCl2. Their val ues ap peared to be se quence-dependent and were: (i) the larg est for Ts in 5¢TA3¢ and 5¢TC3¢ steps, while 2–4 times smaller for 5¢-ad ja cent ones in TT(A,G,C) and TTT(A) runs, (ii) for Cs in 5¢TC3¢ steps 2–4 fold smaller than for ad ja cent Ts, and (iii) in the pres ence of Mg 2+ gen er ally larger by a se quence-dependent fac tor: in 5¢TC3¢ steps of about 2 and 4 for Ts and Cs, re spec tively, in 5 ¢TA3¢ steps of TTA and TTTA se quences for 3¢-ter mi nal Ts of about 3, while for their 5¢-neigh bors of a dis tinctly smaller value of about 2. Com par i son of k j data for cor re spond ing Ts lo cated be tween +1 and –10 re gions of Pa pro moter in dsDNA and in ssDNA form in the open tran scrip tion com plex, re ported else where, dem on strates that re ac tiv ity of py rimi dines in dsDNA is by 2–3 or ders of mag ni tude smaller. The ef fect of Mg 2+ in dsDNA is in ter preted in terms of elec tro static bar rier to dif fu sion of MnO4 – on DNA sur face, which is low ered by dif fu sive bind ing of these ions to back bone phos phates, in volv ing also se quence-specific con tacts with bases in the mi nor and ma jor grooves of B-DNA.
OIL SUBMERGENCE: WIND/WAVE TANK TESTS AND MODELLING

Given appropriate oceanographic conditions and oil properties it is possible for oil slicks to submerge beneath the sea surface. This renders detection, tracking and countermeasures for the spill extremely difficult if not impossible. The objective of this study was to validate and extend the work of previous studies on the formation and submergence of "sinkable" oil forms, and to develop operationally useful process equations ro predict the conditions under which an oil spill might be expected to submerge.
Fish Species Classification using SVM Kernels

This paper presents classification of fish species using support vector machine (SVM) algorithm with four kernel functions such as linear, polynomial, sigmoid and radial basis functions. The datasets for performing this research is obtained from Fish-Pak website which has required number of images for classifying the two different fish species namely Catla and Rohu with three fish features like head, body and scale data. The number of images for Rohu fish species is not equal to the Catla type fish species therefore image augmentation technique is used to balance the number of images. The simulation results reveal that SVM with radial basis function-based kernel provides the accuracy of 78 %.
Guidebook to cytokines and their receptors

The number of cytokines and related growth factors has increased dramatically in recent years to several dozen. Moreover, the names of the cytokines are generally uninformative of biological function, or are now recognized as misleading as new and unexpected activities are discovered in new bioassays. This text provides a succinct reference manual for all known cytokines, growth factors, interleukins and lymphokines as well as their receptors.
A Research Study Using the Delphi Method to Define Essential Competencies for a High School Game Art and Design Course Framework at the National Level.

MACK, NAYO CORENUS-GENEVA. A Research Study Using the Delphi Method to Define Essential Competencies for a High School Game Art and Design Course Framework at the National Level. (Under the direction of Dr. Aaron C. Clark, Dr. Jeremy V. Ernst, Dr. Theodore Branoff and Dr. Lisa L. Grable). This research study reports the findings of a Delphi study conducted to determine the essential competencies and objectives for a high school Game Art and Design course framework at the national level. The Delphi panel consisted of gaming, industry and educational experts from all over the world who were members of the International Game Developers Association. The expert panelists participated in a four-round consensus building process via the Internet. Spearman’s Rank Correlation Coefficient and a chi-squared analysis were used to analyze the resulting consensus among the competencies and objectives. The results of this study provided set of newly generated competencies and corresponding objectives recommended to be taught within a high school Game Art and Design course or curriculum. (
Scaling Up Nanoplasmon Catalysis: The Role of Heat Dissipation

Nanoscale heating by optical excitation of plasmonic nanoparticles offers a new perspective of controlling chemical reactions, where heat is not spatially uniform as in conventional macroscopic heating but strong temperature gradients exist around microscopic hot spots. In nanoplasmonics, metal particles act as a nanosource of light, heat, and energetic electrons driven by resonant excitation of their localized surface plasmon resonance. As an example of the coupling reaction of 4-nitrothiophenol into 4,4′-dimercaptoazobenzene, we show that besides the nanoscopic heat distribution at hot spots, the microscopic distribution of heat dictated by the spot size of the light focus also plays a crucial role in the design of plasmonic nanoreactors. Small sizes of laser spots enable high intensities to drive plasmon-assisted catalysis. This facilitates the observation of such reactions by surface-enhanced Raman scattering, but it challenges attempts to scale nanoplasmonic chemistry up to large areas, where the exc.
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The bias-blind DA is most effective at reducing the disagreement in modelled and observed LAI, and leads to the largest improvements in GPP and runoff. For many applications it is therefore a suitable option, especially if large bias reductions are intended, even if bias-blind Kalman filtering is suboptimal. A temporal interpolation of the observation data, or even a direct insertion approach, could be even more efficient in this case. However, this approach does not necessarily improve other variables, e.g. if the model simulates biased LAI in conjunction with unbiased soil moisture. As alternative, we recommend to use observation rescaling techniques for LAI DA with Noah-MP if there are strong biases and if