BRAIN GATE

As the power of modern computers grows alongside our understanding of the human brain, we move closer to making some pretty spectacular science fiction into reality. Consider the potential to manipulate computers or machinery with nothing more than a thought! Thousands of people around the world suffer from paralysis and loss of other bodily movement, rendering them dependent on others to perform even the most basic tasks. The mind-to-movement system that allows a quadriplegic man to control a computer using only his thoughts is a scientific milestone. This is the BRAIN GATE system.  Brain gate system is based on ‘Cyber kinetics’ platform technology to- sense, transmit, analyze and apply the language of neurons. A computer chip, which is implanted into the brain, monitors brain activity in the patient and converts the intention of the user into computer commands. It would be a huge therapeutic application for people who have seizures, which leads to the idea of a ‘pacemaker for the brain’

Predictive Analysis for Diabetes using Tableau

As per the present circumstances, in India, Diabetic Mellitus (DM) has turned into a major wellbeing peril. Diabetic Mellitus (DM) is arranged as a Non-Communicable Diseases (NCD), and numerous individuals are experiencing it. Consistently vast volume of diabetic information is creating and consequently it is important to do examination on this information and settle on effective choices. In the healing centers different records, for example, patients' profile data, x-beam reports, different therapeutic tests' reports and so on are saved and this structures huge information. Enormous information examination is the procedure which inspects such huge informational collections and reveals shrouded data, concealed examples to find learning from the information. By applying investigation on medicinal services information, essential choice and expectation can be made. The framework proposed in this paper is a propelled answer for investigating the information in light of the information acquired from the past multiyear and after that giving outcomes to the up and coming year in an effective way. The proposed framework influences utilization of programming to device named Tableau to deliver the examination for up and coming year in light of the past five long periods of information

COMPARISON OF SURFACE RADIATION DOSE TO THE GONADS BY RADIOGRAPHIC EXAMINATION OF THE LUMBAR SPINE USING COMPUTED RADIOGRAPHY AND DIRECT DIGITAL RADIOGRAPHY

Objectives: The objectives are aimed to study the comparison of SRD to the gonads by radiographic examination of the lumbar spine using computed radiography (CR) and direct digital radiography (DR) and to evaluate dose differences according to gender.Methods: A total of 120 subjects with an equal number of males and females referred for lumbar spine anteroposterior (AP) and lateral was included in the study. Sixty patients had undergone X-ray in CR X-ray unit and 60 in DR X-ray unit. SRD to gonads from a radiographic examination of the lumbar spine was measured in CR and DR using Mult-O-Meter, and obtained value of SRD was in μGy. Statistical analysis was performed using Statistical Package for the Social Sciences. Data were represented as a median and interquartile range. Mann–Whitney U-test was used for the comparison of SRD to gonads. Two-way analysis of variance (ANOVA) test was used to find out the statistically significant difference in SRD to the gonads according to gender from radiography of lumbar spine taken using CR and direct DR.Results: There was a statistically significant difference in SRD to gonads from radiography of lumbar spine AP and lateral taken using CR and direct DR (p<0.001). There was no statistically significant difference in SRD to the gonads in males and females from radiography of lumbar spine AP (p=0.577) and lateral (p=0.164) taken using CR and direct DR.Conclusion: It was found that SRD to gonads from lumbar spine AP was 54% lower in direct DR and SRD to gonads from lumbar spine lateral was 68% lower in direct DR than CR

Modelling individual motion sickness accumulation in vehicles and driving simulators

Users of automated vehicles will move away from being drivers to passengers, preferably engaged in other activities such as reading or using laptops and smartphones, which will strongly increase susceptibility to motion sickness. Similarly, in driving simulators, the presented visual motion with scaled or even without any physical motion causes an illusion of passive motion, creating a conflict between perceived and expected motion, and eliciting motion sickness. Given the very large differences in sickness susceptibility between individuals, we need to consider sickness at an individual level. This paper combines a group-averaged sensory conflict model with an individualized accumulation model to capture individual differences in motion sickness susceptibility across various vision conditions. The model framework can be used to develop personalized models for users of automated vehicles and improve the design of new motion cueing algorithms for simulators. The feasibility and accuracy of this model framework are verified using two existing datasets with sickening. Both datasets involve passive motion, representative of being driven by an automated vehicle. The model is able to fit an individuals motion sickness responses using only 2 parameters (gain K1 and time constant T1), as opposed to the 5 parameters in the original model. This ensures unique parameters for each individual. Better fits, on average by a factor of 1.7 of an individuals motion sickness levels, are achieved as compared to using only the group-averaged model. Thus, we find that models predicting group-averaged sickness incidence cannot be used to predict sickness at an individual level. On the other hand, the proposed combined model approach predicts individual motion sickness levels and thus can be used to control sickness.Comment: 8 pages, 9 figure

The great saphenous vein-an anatomical study.

The anatomical variations are more frequently encountered in the venous system particularly in the superficial veins when compared to the arterial system. The great saphenous vein is the longest vein of the body and represents pre-axial vein of lower limb. The venous anatomy is of great importance to the surgeons and sonographers. The present study included 25 lower limbs during routine dissection for undergraduate students in the Department of Anatomy, Kasturba Medical College, Manipal, India. We studied the great saphenous vein with reference to its formation, relation with the medial malleolus, distance from patella, level of termination and variation in its major tributaries. The findings were recorded, tabulated and photographed. Aforementioned anatomical facts including mode of termination of great saphenous vein can be important for surgeons planning intervention in this area. This vein is used as an arterial graft because of the marked anatomical remodeling. Thus, a good understanding of the typical ultrasound appearance of the great saphenous vein, its relationship to the major bony landmarks is significant

Electrical Behavior of Non-Aqueous Formulations: Role of Electrostatic Interactions in Pressurized Metered Dose Inhalers (pMDIs)

Aerosol electrostatics is an important property of pharmaceutical aerosols. The electrostatic properties of pMDI aerosols have been shown to be a function of both formulation and packaging components. The modified ELPI enables measurement of aerosol charge as a function of particle size, and the simultaneous determination of the mass distribution using chemical analysis. However, in order to fully assess the cause and effects of aerosol electrostatics in terms of its biological and regulatory implications, it is necessary to understand the basic charging mechanisms inside the pMDI formulation. Electrical resistivity and zeta potential measurements confirmed the presence of charged species within HFA based solutions and suspensions although the nature of these species remains unknown. These measurements were influenced by the cosolvent concentration and to a lesser extent by the presence of soluble drug and surfactant. The mean electrical resistivity of a 7% ethanol / 93% HFA 134a blend (0.83 ± 0.02 MΩ.cm) was significantly lower than that reported for HFA 134a (180 MΩ.cm). Albuterol sulfate demonstrated a positive zeta potential (75.9 ± 26.2 mV) in HFA 134a. Pilot molecular modeling studies, in conjunction with the analysis of particle interactions using HINT, provided an improved understanding of the possible interactions within albuterol sulfate HFA suspension pMDIs. The predominantly negative (-7597 ± 2063) HINT score signified unfavorable interactions between albuterol sulfate and HFA 134a molecules. Systematic investigations of the electrical properties of HFA solution and suspension pMDIs using the modified ELPI demonstrated that the electrical properties were a function of the formulation type (solution/suspension), formulation components and particle size. Experimental BDP solution pMDIs produced predominantly electropositive aerosols (net charge: 160 ± 30 pC) while albuterol sulfate pMDIs produced bipolar charged aerosol clouds (net charge: -162 ± 277 pC). Finally, the modified ELPI was recalibrated using commercially available polydisperse pMDIs as calibration aerosols with a reference Andersen cascade impactor. The mean cut-off diameters for stages 4-12 obtained following recalibration of the modified ELPI were 0.44, 0.56, 0.70, 1.01, 1.40, 2.12, 3.03, 4.75, 6.37 μm, respectively in comparison to those reported by the manufacturer (0.16, 0.27, 0.39, 0.62, 0.96, 1.62, 2.42, 4.05, 6.67 μm, respectively)

Predicting battery depletion of neighboring wireless sensor nodes

With a view to prolong the duration of the wireless sensor network, many battery lifetime prediction algorithms run on individual nodes. If not properly designed, this approach may be detrimental and even accelerate battery depletion. Herein, we provide a comparative analysis of various machine-learning algorithms to offload the energy inference task to the most energy-rich nodes, to alleviate the nodes that are entering the critical state. Taken to its extreme, our approach may be used to divert the energy-intensive tasks to a monitoring station, enabling a cloud-based approach to sensor network management. Experiments conducted in a controlled environment with real hardware have shown that RSSI can be used to infer the state of a remote wireless node once it is approaching the cutoff point. The ADWIN algorithm was used for smoothing the input data and for helping a variety of machine learning algorithms particularly to speed up and improve their prediction accuracy

Design of a semi-automatic positioning system for measuring of semiconductor chips

Cieľom tejto bakalárskej práce bolo navrhnuť a vytvoriť poloautomatický polohovaci systém pre test polovodičových čipov. V práci je riešený problém s realizáciu konštrukcie pre dosiahnutie čo najväčších presnosti, pre nakontaktovanie za pomoci karty so sondami. Ďalej sa práca zaoberá zvolením vhodnej riadiacej jednotky pre krokové motory a na zaver k vytvorenie programu pre zaostrenie a vycentrovanie čipu za pomoci obrazu z kamery.The aim of this bachelor thesis is to design and create a system for a semi-automatic positioning system for the test of semiconductor chips. The work solves the problem with the implementation design to achieve the highest possible accuracy for contacting with the help of a probe card. Furthermore, the work deals with the selection of a suitable control unit for stepper motors and finally to create a program for focusing and centering the chip using the image from the camera.