Organization Studies Based Appraisal of Institutional Propositions in the Nigerian Data Protection Regulation

The papers appraised the Nigeria Data Protection Regulation wit the aim of exposing the institutional propositions contained in the regulation. The aim of the paper is to address how the institutional propositions positions organizations in Nigeria to implement data protections regulations.Comment: Paper appears in the proceedings of the cyber secure Nigeria conference, 202

Novel paradigm for immunotherapy of breast cancer by engaging prophylactic immunity against hepatitis B

Background Immunotherapy of patients suffering from the human epidermal growth factor receptor 2 overexpressing (HER-2+) breast cancers with the anti-HER-2 antibodies results in increase of the patients’ overall survival. However, no prophylactic vaccine is available against HER-2+ breast cancers. Although, prophylactic vaccine for human hepatitis B virus (HBV) is very effective. Specific aim The specific aim of this work was to design, synthesize, and test bio-molecules which would engage prophylactic immunity against hepatitis B virus towards killing breast cancers cells. Methods and Results By biomolecular engineering, we have created a novel family of biomolecules: antibody (anti-HER-2) × vaccine (HBsAg) engineered constructs (AVEC: anti-HER-2 × HBsAg). These biomolecules were utilized for redirecting, accelerating, and amplifying of the vaccination-induced, prophylactic immunity originally targeted against HBV as therapeutic immunity, newly targeted against HER-2+ breast cancers. Treatment of the HER-2+ breast cancer cells with AVEC: anti-HER-2 × HBsAg in blood of the patients, vaccinated with HBsAg, rapidly increased efficacy of killing of HER-2+ breast cancer cells over that attained with the naked anti-HER-2 antibodies. Conclusion Novel antibody-vaccine engineered constructs (AVEC) facilitate redirecting, accelerating, and amplifying of prophylactic, HBV vaccination-induced immunity as immunotherapy (RAAVIIT) of HER-2+ breast cancer. We currently streamline this novel therapeutic paradigm into clinical trials of breast and other cancers

A Model for an Angular Velocity-Tuned Motion Detector Accounting for Deviations in the Corridor-Centering Response of the Bee

We present a novel neurally based model for estimating angular velocity (AV) in the bee brain, capable of quantitatively reproducing experimental observations of visual odometry and corridor-centering in free-flying honeybees, including previously unaccounted for manipulations of behaviour. The model is fitted using electrophysiological data, and tested using behavioural data. Based on our model we suggest that the AV response can be considered as an evolutionary extension to the optomotor response. The detector is tested behaviourally in silico with the corridor-centering paradigm, where bees navigate down a corridor with gratings (square wave or sinusoidal) on the walls. When combined with an existing flight control algorithm the detector reproduces the invariance of the average flight path to the spatial frequency and contrast of the gratings, including deviations from perfect centering behaviour as found in the real bee's behaviour. In addition, the summed response of the detector to a unit distance movement along the corridor is constant for a large range of grating spatial frequencies, demonstrating that the detector can be used as a visual odometer

A computational model of the integration of landmarks and motion in the insect central complex.

The insect central complex (CX) is an enigmatic structure whose computational function has evaded inquiry, but has been implicated in a wide range of behaviours. Recent experimental evidence from the fruit fly (Drosophila melanogaster) and the cockroach (Blaberus discoidalis) has demonstrated the existence of neural activity corresponding to the animal's orientation within a virtual arena (a neural 'compass'), and this provides an insight into one component of the CX structure. There are two key features of the compass activity: an offset between the angle represented by the compass and the true angular position of visual features in the arena, and the remapping of the 270° visual arena onto an entire circle of neurons in the compass. Here we present a computational model which can reproduce this experimental evidence in detail, and predicts the computational mechanisms that underlie the data. We predict that both the offset and remapping of the fly's orientation onto the neural compass can be explained by plasticity in the synaptic weights between segments of the visual field and the neurons representing orientation. Furthermore, we predict that this learning is reliant on the existence of neural pathways that detect rotational motion across the whole visual field and uses this rotation signal to drive the rotation of activity in a neural ring attractor. Our model also reproduces the 'transitioning' between visual landmarks seen when rotationally symmetric landmarks are presented. This model can provide the basis for further investigation into the role of the central complex, which promises to be a key structure for understanding insect behaviour, as well as suggesting approaches towards creating fully autonomous robotic agents

Community of Practice Theory Approach to Understanding Factors Influencing Informal M-Health Use among Janitors in an IT-Rich Context

Janitors have peculiar job responsibilities and adjoining healthcare needs. However, they are usually not allowed access to healthcare facilities of their organizations. Therefore, we assumed that janitors would use informal M-Health without conviction. Surprisingly, we observe that janitors do not use informal M-Health. Our observation is more worrisome because the janitors work in an IT-rich organization that could offer them the platform to use informal M-Health. Our assumption and observation indicate the need to understand the factors influencing the use of informal M-Health among janitors. We adopted the community of practice theory and the interpretive case study method and collected research data through interviews and participatory observation. Our findings reveal the factors that influence the use of informal M-Health. We conclude that janitors may need to use informal M-Health if they are continued to be deprived of access to formal healthcare outlets

A Definition of “Regular Meals” Driven by Dietary Quality Supports a Pragmatic Schedule

Public health guidelines advise eating regular meals without defining “regular.” This study constructed a meaning for “regular” meals congruent with dietary quality. Parents of 4th grade youth in a school-based intervention (Clinicaltrials.gov NCT02491294) completed three, ASA24 online 24-h dietary recalls. Differences in time of intake across days for breakfasts, lunches, dinners were categorized with consistency denoted as always, often/sometimes or rarely/never and assigned values of 3, 2 or 1, respectively. Meal-specific values were summed to form mealtime regularity scores (mReg) ranging from 3 (low) to 9. Healthy eating index (HEI) scores were compared to mReg controlling for weekday/weekend recall pattern. Linear regression predicted HEI scores from mReg. Parents (n = 142) were non-Hispanic white (92%), female (88%) and educated (73%). One mReg version, mReg1 was significantly associated with total HEI, total fruit, whole fruit, tended to correlate with total protein, seafood/plant protein subcomponents. mReg1 predicted total HEI (p = 0.001) and was inversely related to BMI (p = 0.04). A score of three (always) was awarded to breakfasts, lunches or dinners with day-to-day differences of 0–60 min; also, lunches/dinners with one interval of 60–120 min when two meals were ≤60 min apart. More rigid mReg versions were not associated with dietary quality

Quadcopter Obstacle Avoidance using Biomimetic Algorithms

Unmanned Micro Aerial Vehicles (MAVs) have the potential to operate in diverse environments but are limited by the lack of robust algorithms for autonomous flight. This is largely due to the sensing and processing requirements that exceed the weight and power limitations of this hardware. Recent research has highlighted the potential to overcome these constraints by looking to the natural world, in particular to the possibilities of using optical flow. This work presents a novel biomimetic algorithm that uses optical flow data generated from the on-board camera of a quadcopter MAV to avoid obstacles in flight. Simulation results are presented showing the algorithm performance in a range of flying scenarios. This work also highlights the huge potential of using low resolution sensors and lightweight algorithms in the field of autonomous vehicle control

Stand up Paddle Surfing-An Aerobic Workout and Balance Training

AbstractOriginating from an ancient Hawaiian tradition Stand Up Paddle Surfing (SUP) is a growing pastime and sports activity in which a person stands upright on a surfboard and propels it using a single paddle. During paddling the board constantly is in an unstable condition forcing paddlers to focus on keeping balance and simultaneously propelling the board by paddling. Therefore it is expected that SUP can be a high impact aerobic workout and balance training. A total of 68 subjects performed on-water and SUP ergometer trials, during ergometer trials heart rate (HR) was permanently measured and balance was assessed before and after all trials (ergometer and on-water) using a single leg hop test on a Win Pod electronic baropedometric platform. Results of the balance tests - though for a relatively small number of participants - showed that after ergometer trials a significant improvement in stability occurred whereas it was only significant for the right foot's anteroposterior movement after on-water trials. The result of the exercise-test illustrated that the HR of beginners stays in the aerobic zone which makes SUP suitable for endurance training

Bovine Leukemia Virus Infection in Dairy Cattle: Effect on Serological Response to Immunization against J5 Escherichia coli Bacterin

Thirteen bovine leukemia virus- (BLV-) negative and 22 BLV-positive Holstein cows were immunized with J5 Escherichia coli bacterin at dry off, three weeks before calving, during the second week after calving, and three weeks after the third immunization. Serum was collected before the initial immunization, immediately before the third and fourth immunizations, and 21 days after the fourth immunization. Anti-J5 E. coli IgM, IgG1, and IgG2 titers were determined by ELISA. Anti-J5 E. coli IgM titers did not differ significantly (P = .98) between groups. Increases in anti-J5 E. coli IgG1 titers were higher in the BLV-negative cows (P = .057). Geometric mean anti-J5 E. coli IgG2 titers increased fourfold in the BLV-negative cows, which was significantly higher (P = .007) than the twofold increase in the BLV-positive cows. Cattle infected with BLV may have impaired serologic responses following immunization with J5 bacterin, and response may differ according to antibody isotype