Miracle-dz/UniFAR-FTUs huggingface dataset:
Recalibration of vestibular reafference alters the recovery response to a platform perturbation

RECALIBRATION OF VESTIBULAR REAFFERENCE ALTERS THE RECOVERY RESPONSE TO A PLATFORM PERTURBATION Adam Joseph Toth Advisor: University of Guelph, 2016 Dr. Leah R. Bent This thesis presents three complementary experiments that aim to investigate the sensorimotor recalibration of vestibular reafference for platform perturbation recovery responses. Previous work has demonstrated that visual feedback is used to recalibrate the vestibular reafference used to control vestibulo-ocular reflexes as well as navigation. However, less work has examined the visual calibration of vestibular feedback for postural control. During a platform perturbation, vestibular feedback is thought to have very little contribution to the initial components of recovery responses and is largely involved in re-establishing postural equilibrium following recovery responses. In experiment I, we investigated whether vision could be used to alter how vestibular reafference was used for re-establishing equilibrium following a perturbation. We were able to show that after changing the vertical interpretation of a GVSaltered vestibular signal using visual references, participants became realigned toward the cathode following GVS removal, suggesting recalibration of the vestibular signal. Interestingly, vision was unable to alter the vestibular influence on initial perturbation responses. Previous work has shown that multiple trial exposures may be necessary to demonstrate recalibration. Therefore, experiment II examined whether visual feedback provided during a platform perturbation could recalibrate the contribution of vestibular reafference to early components of the recovery response. We demonstrated that vestibular contributions to early components of perturbation responses could be recalibrated but that the recalibration observed was likely mediated by somatosensory feedback rather than vision. Sensory integration work has shown the importance of attending to the sensory feedback provided for improving postural control. In experiment III, we aimed to determine whether instructions to specifically attend to somatosensory feedback for realigning posture during multiple platform perturbations could improve the recalibration of vestibular reafference on initial perturbation responses. Participants did not show improvements in their ability to recalibrate vestibular feedback during perturbation responses with added instructions to attend to somatosensory feedback. This may result from the
GAS TRANSFERTS AND FLOW PROCESS THROUGH CONCRETE MAINTAINED IN TEMPERATURE

Some experimental results on gas transfers through heated concrete (at a range of temperature [20° 200°]) are presented in this paper. The tested concretes were high performance concrete (80-90 MPa), with silica fume, some percentage of polypropylene fibres being or not incorporate (the percentage of fibres vary from 1 to 2.5 kg/m3). A special device similar to a permeameter was used for the identification of fluid-transport properties of concrete. For the results, the used measurements are based on a “quasi permanent” flow rate of fluid through specimens maintained at constant temperature. The test, on a specimen, could take several weeks. The injected fluids under several pressures were an air in a first time through the dried specimen and a vapour in a second time for the same specimen at the same temperature degree. The tests with air shows the permeability evolution of the concrete without and with different percentage of polypropylene fibres when the temperature increases. While the tests with vapour provide information to better understanding the flow process in isotherm conditions, the entered vapour in the porous material condensed to liquid water which left the material under pressure gradient.
Collaborative Case-Based Study of Genetic and Infectious Disease via Molecular Biology Computer Simulations and Internet Conferencing

Case It! is a National Science Foundation-sponsored project to promote collaborative case-based learning in biology education, via free molecular biology computer simulations and Internet conferencing. In this session, we will demonstrate how Case It! Software can be used to enhance understanding of molecular biology techniques for analyzing casesbasedongeneticandinfectiousdiseases,aswellasawarenessofethicalissuesassociatedwiththesediseases.Students first use the Case It! simulation to analyze DNA and protein sequences for cases involving genetic diseases or infectious diseases such as SARS, HIV, West Nile, and influenza, among others. Simulated tools for case analysis include DNA and protein electrophoresis, Southern blotting, Western blotting, dot blot, PCR, and ELISA. After analyzing the cases, students construct web-page "posters" using the Case It! Web Editor. They then play the roles of counselors, medical personnel, "family members", and others as they ask and answer questions about the case results using a custom Internet conferencing systemhostedonourwebsite.Class-testinginvolvingstudentsintheU.S. ,theU.K. andAfricahavevalidatedthisapproach to case-based learning - see http://www.uwrf. edu/caseit/caseit.html for details. Workshop participants will discuss how the Case It! system can be adapted to their home institutions.
Epidemiological geographic profiling for a metapopulation network Yoshiharu Maeno Social Design Group email : maeno

Epidemiological geographic profiling is a statistical method for making inferences about likely areas of a source from the geographical distribution of patients. Epidemiological geographic profiling algorithms are developed to locate a source from the dataset on the number of new cases for a meta-population network model. It is found from the WHO dataset on the SARS outbreak that Hong Kong remains the most likely source throughout the period of observation. This reasoning is pertinent under the restricted circumstance that the number of reported probable cases in China was missing, unreliable, and incomprehensive. It may also imply that globally connected Hong Kong was more influential as a spreader than China. Singapore, Taiwan, Canada, and the United States follow Hong Kong in the likeliness ranking list.
Poultry Egg Body Defect Detecting and Sorting System based on Image Processing

Currently, egg defect detecting in poultry egg production is mainly manually conducted. In order to improve automatic detecting level, automatic detecting and sorting system on the basis of image processing technology is designed. The system consists of egg transporting and sorting module, texture collecting and processing module and man-machine interaction module. VC++6.0 and OPENCV programming is adopted in the system to extract egg texture information and identify texture characteristics. Design of man-machine interaction module is to realize real-time observation and operation of detecting and sorting process. Texture base of eggs may be automatically generated and texture information may be stored in the system. As a result, through analysis of experimental data, crack identification rate of the system is 97.15, while stain identification rate is 99.3%, and accuracy rate of overall sorting for tested eggs reaches 95%.
Health versus Social Life : Social Smoking in College Students in the United States

Social smoking is a prevalent but poorly understood behavior that could impose critical health risks on young adults. Social smoking is a type of non-daily smoking which is closely tied to social motives and mostly occurs in the presence of others.From a perspective of the Theory of Planned Behavior (TPB), this studyinvestigated social smoking through an examination of perceived injunctive norms of smoking, motivations of smoking, attitudes of consequences of smoking, and smoking behaviors in college students. Results revealed that 80.7% current smokers (past 30-day) were social smokers. Social smokers held more positive attitudes of smoking and perceived health as of lower value than nonsmokers. Additionally,social smokers reported lower estimations of the benefits of smoking and enjoyed smoking less than regular smokers. Logistic regression analysis revealed that perceived injunctive norms andattitudes towards the consequences of smokingwere significant predictors for social smoking. Theoretical and practical applications are discussed.
Cellular Mobile Technologies ( 1 G to 5 G ) and Massive MIMO MD

Cellular network technology supports a hierarchical structure formed by the base transceiver station (BTS), mobile switching center (MSC), location registers and public switched telephone network (PSTN). The BTS enables cellular devices to make direct communication with mobile phones. The unit acts as a base station to route calls to the destination base center controller. The base station controller (BSC) coordinates with the MSC to interface with the landline-based PSTN, visitor location register (VLR), and home location register (HLR) to route the calls toward different base center controllers.In the past few decades, mobile wireless technologies have experience 4 or 5 generations of technology revolution and evolution, namely from 0G to 4G. Current research in mobile wireless technology concentrates on advance implementation of 4G technology and 5G technology. Currently 5G termis not officially used.Multiple-Input Multiple-Output (MIMO) is a wireless technology that uses multiple transmitters and receivers to transfer more data at the same time. All wireless products with 802.11n support MIMO. The technology helps allow 802.11n to reach higher speeds than products without 802.11n. In this knowledgebase article we will focus on the evolution and development of various generations of mobile wireless technology along with their significance and advantages of one over the other. The main contribution of this paper is the basic concept of cellular mobile communication with their generations (1G to 5G). The proposal in this paper also related to Multiple-Input Multiple-Output (MIMO). Some potential areas of research and development (R&D) are also presented.
A Machine Learning Algorithm in Automated Text Categorization of Legacy Archives

The goal of this research is to develop an algorithm to automatically retrieve critical information from raw data files in NASA’s airborne measurement data archive. The product has to meet specific metrics in term of accuracy, robustness and usability, as the initial decision-tree based development has shown limited applicability due to its resource intensive characteristics. We have developed an innovative solution that is much less resource intensive while offering comparable performance. As with many practical applications, the data available are noisy and correlated; and there is a wide range of features that are associated with the information to be retrieved. The proposed algorithm uses a decision tree to select features and determine their weights. A weighted Naive Bayes is used due to the presence of highly correlated inputs. The development has been successfully deployed in an industrial scale, and the results show that the development is well-balanced in term of performance and resource requirements.
A theory oflimits mm artificial selection

(1) The paper presents a theory of selection limits in artificial selection. It is, however, developed primarily in terms of single genes. (2) For a single gene with selective advantage s, the chance of fixation (the expected gene frequency at the limit) is a function only of Ns, where N is the effective population size. In artificial selection based on individual measurements, where the selection differential is 7 standard deviations, the expected limit of individual selection in any populationis a function only of Ni. (3) For low values of Ni, the total advance by selection is, for additive genes, 2N times the gain in thefirst generation but may be muchgreater than this for recessives, particularly if their initial frequency is low. (4) The half-life of any selection process will, for additive genes, not be greater than 1-4 NV generations but may for rare recessives equal 2N. (5) The effect of an initial period of selection or inbreeding or of both together on the limits in furtherselection is discussed. It appears that the effects of restrictions in population size on the selection limit may be a useful diagnostic tool in the laboratory. (6) The treatment can be extended to deal with the limits of further selection after the crossing of replicate lines from the same population when the initial response has ceased. (7) In a selection programme of individual selection of equal intensity in both sexes, the furthest limit should be attained when half the population is selected from each generation. (8) The treatment can also be extended to include selection based on progeny or family records. Consideration of the optimum structure,as far as the limit is concerned, shows that the use of the information on relatives is always a sacrifice on the eventual limit for the sake of immediate gain in the early generations. The loss may, however, be small in large populations.
Optimal Wireless Access Points Placement in a Manufacturing Facility using Genetic Algorithm

Streamlining materials ow in flexible manufacturing systems is the key factor to greatly reduce idle time costs and labor costs. It is achieved by building location-aware robots that can estimate its position using off-the-shelf hardware. The location-aware robot can determine its position inside a building using online measured Received Signal-Strength Intensity (RSSI) from different wireless Access Points (AP), and an offline database of previously measured RSSI. The accuracy of the calculated online position can greatly affect the preciseness of the material handling. This paper studies the impact of the location of the wireless access points and their quantity in a manufacturing facility on the localization error. An optimum number of wireless access points and their locations is determined using a Genetic Algorithm for the case study of the Egyptian textile manufacturing facility. The optimum wireless access point placement in the 17 500 m2 manufacturing facility improves the accuracy of localization by 46% using only nine APs to reach 4.7 meter error and 87% using 35 APs to reach 1.1 meter error, compared to the original plan of the wireless access points locations.
Phenotypic traits of Mexican soybean seeds and their correlation with in vitro shoot induction and susceptibility to Agrobacterium infection

Background and Aims: Soybean regeneration and transformation are considered highly genotype-specific; however, little is known about desirable seed traits that could be useful indicators of their regeneration and transformation capacities. In the present study, eight commercially available Mexican soybean varieties, as well as the Jack genotype as a control, were phenotypically characterized to determine the seed traits that are important factors for their in vitro performance and susceptibility to Agrobacterium tumefaciens infection.Methods: Grain dimensions, seed weight, moisture, oil, protein, ash, carbohydrate content and macro and micro elements (Mg, K, Ca, P, Na, Mn, Fe, Cu and Zn) were measured and correlated with the corresponding direct shoot organogenesis capability and Agrobacterium infection susceptibility using the cotyledonary node as explant.Key results: Notably, the ash content was the only important factor that inversely correlated with the capacity for shoot organogenesis, whereas carbohydrate and phosphorus content were positively correlated with susceptibility to Agrobacterium infection. The best response in terms of multiple shoot formation and Agrobacterium transient transformation was observed with the soybean varieties Huasteca-100, Nainari and Suaqui-86, which have lower ash content and a higher carbohydrate and phosphorus content.Conclusions: In most reported studies, seed phenotypic traits have been overlooked as factors that influence their regeneration and transformation potential. In the present study, we present evidence of associations between some specific seed traits and regeneration and transient transformation of soybean.
Suivi d ’ objets pour l ’ analyse du mouvement en imagerie ultrasonore Object tracking for displacement analysis in ultrasound imaging

In this paper, a method for the detection of myocardium contractility defect from transthoracic echocardiography is proposed. Speckle phenomenon is considered here as useful functional information and not only as a multiplicative noise. Its distribution and frequential characteristics are used to derive boundary and regional energy terms in order to track myocardium walls with deformable contour models. Moreover, ultrasound density is used to calculate myocardial displacement field from the solution of an inverse continuity equation problem. The clinical feasibility of local and global indices and a prospective study for the multi-site stimulation are presented.
Hardware Acceleration of Face Detection Module for Mobility Assistant for Visually Impaired

Assisted living with MAVI system is the facility for visually impaired people for helping them in their day-to-day life. MAVI helps them as an outdoor navigation system, provides them safety from animals and helps in social inclusion. Face detection and recognition is an integral part of the assistant devices. It enables social inclusion for the visual impaired community. The existing algorithms for face detection are not fast enough for the real-time applications. In this thesis, we propose a novel hardware/software co-design for the popular Viola-Jones algorithm. Proposed design is implemented using highlevel synthesis techniques. Further we discuss in detail, the trade-offs and techniques for the memory bandwidth limitations during the transfer of image data from the processor to FPGA. We also include various architecture exploration for real-time application of the design. We have used XC7020 Zynq based ZedBoard for the evaluation of the implementation. On the target device, initially we achieved 0.43 frame per second(fps) with processor running at 667 MHz. Subsequently, after hardware acceleration we achieved 1.1 frame per second(fps) with the ARM Cortex-A9 processor running at 667 MHz and programmable logic with 147 MHz clock frequency with a speed-up factor 2.73x.
Optic Flow based Technique to Enhance ExoMars Rover Navigation Software

Rovers have been increasingly adopted for planetary missions because of the long range surface mobility they can offer. This includes many past/current/future missions to the Mars such as Pathfinder, MER, and ExoMars, etc. Rover operation on Mars is a challenging task due to the long distance communication with the Earth. For example, the two MER rovers are remotely navigated by the Earth ground station and can only travel a few meters per Martian day (sol). Increasing autonomy of the rover can help to reduce the ground station intervention and improve the operation efficiency of the rover. For instance, a fully autonomous navigation system will enable the rover to reach its destination faster. This can be done by speeding up the perception process and decision of the navigation software.
High Harmonic Generation using a 2 μ

xvii 1 Theoretical Overview 1 1.1 Ultrashort Pulses . 1 1.1.1 A bit of History . 1 1.1.2 Theoretical Description of Pulses . 2 1.2 Nonlinear Optics and Maxwells Equations . 4 1.3 Optical Parametric Amplification . 5 1.4 High Harmonic Generation . 7 1.4. 1 The Three Step Model . 8 1.4. 2 Wavelength Scaling . 9 1.4. 3 Phase Matching . 10 1.5 Attosecond Streaking . 13 2 Laser System 17 2.1 Basic Setup . 17 2.1.1 Seed Generation . 17 2.1.2 Pump Generation . 18 2.1.3 OPCPA Setup . 19 2.2 Stability Improvement by Chirp Reversal between Stages . 21 3 Experimental Setup and Supporting Simulations 23 3.1 Beamline Layout . 23 3.1.1 Beam Preparation . 24 3.1.2 High Harmonic Generation . 25 3.1.3 XUV Diagnostics and Control . 26
Stress Related to the Auditorium Activities

Article History: There are numerous studies regarding the damage of academic stress on student well-being and achievement. Unfortunately, there are not many methods to measure various academic stressors among students. Purpose: The purpose of this study was to develop a valid and reliable scale to measure the stressors to which students are subjected in the academic environment. Research Methods: After interviews with students about the stressors to which they are subjected at the university, a test form of a scale, which contains 19 items, was developed. The scale form was completed by 187 first-year students at the university. Findings: The results showed that the Academic Received: 13 Mar. 2019 Received in revised form: 5 Apr. 2019 Accepted: 16 May 2019 DOI: 10.14689/ejer.2019. 81.7
1 Introduction to Industry 4 . 0 and the Digital Shopfloor Vision

This chapter is an introduction to the fourth industrial revolution (Industry 4.0) in general and digital automation platforms in particular. It illustrates the main drivers behind Industry 4.0 and presents some of the most prominent use cases. Accordingly, it introduces the scope and functionalities of digital automation platforms, along with digital technologies that enable them. The chapter ends by introducing the vision of a fully digital shopfloor, which sets the scene for understanding the platforms and technologies that are presented in subsequent chapters.
Adaptive Packet Pre-marker for TCP-based Applications in DiffServ Networks

This paper proposes a control mechanism named PPE (Packet Pre-marking Engine) in application layer to assist TCP-based connection flow in maintaining end-to-end throughput in DiffServ networks. The application with PPE built in can adaptively adjust the DSCP (DiffServ CodePoint) of user’s traffic according to the network traffic load to inform the service provider what kind of service is needed. When the network is light-loaded, the user’s requirement can be met and the best service is provided. As the traffic load becomes heavy, the requirement will fail to meet, and the better level of service is used instead. In this paper, we will implement an FTP client program with PPE in a testing DiffServ platform to illustrate the effectiveness of this control mechanism.
3 Joint Salient Object Detection and Existence Prediction

Recent advances in supervised salient object detection modeling has resulted in significant performance improvements on benchmark datasets. However, most of the existing salient object detection models assume that at least one salient object exists in the input image. Such an assumption often leads to less appealing saliency maps on the background images with no salient object at all. Therefore, handling those cases can reduce the false positive rate of a model. In this paper, we propose a supervised learning approach for jointly addressing the salient object detection and existence prediction problems. Given a set of background-only images and images with salient objects, as well as their salient object annotations, we adopt the structural SVM framework and formulate the two problems jointly in a single integrated objective function: saliency labels of superpixels are involved in a classification term conditioned on the salient object existence variable, which in turn depends on both global image and regional saliency features and saliency labels assignments. The loss function also considers both imagelevel and region-level mis-classifications. Extensive evaluation on benchmark datasets validate the effectiveness of our proposed joint approach compared to the baseline and state-of-the-art models. Source code and data is available at http://mmcheng.net/salexist/.