Miracle-dz/UniFAR-FTUs huggingface dataset:
Determinants Influencing the Implementation of Enterprise Risk Management in the Nigerian Banking Sector

Enterprise risk management (ERM) is an organized, dependable and reproducible process across the entire system for identifying, measuring, controlling and reporting of opportunities and threats that could impact on the objectives of the organization. The purpose of this study is to empirically examine the extent of ERM implementation in the Nigerian banking sector and the identification of antecedents influencing the adoption. 722 questionnaires were administered to top, middle and lower level managers across 361branches and the headquarters of the respective 21banks. The respondents consist of the staff of the risk management, internal audit and operational departments at both the headquarters and branches of the banks. Both SPSS Software and logistic regression model were used for data analysis. The finding reveals that there is plausible evidence that there is an ERM complete in place in most of the banks while insignificant number indicated ERM partial in place. Furthermore, the finding also indicates that internal audit effectiveness, human resource competency, Regulatory influence and top management commitment were statistically positively significant to the stage of ERM implementation while board characteristic was negatively significant. However, most of the banks had already gone through the ERM process before the CBN mandate. This study provides a new knowledge of the literature on the antecedents of ERM adoption. Similarly, the finding has a policy implication for the board of directors to improve their oversight functions and the regulatory authorities entrench risk based supervision on all policy issues. Future research is therefore, advocated on the effectiveness and impact of ERM systems after implementation using different variables and using board members and top management as respondents.
The Caries-Preventive Effect of Chlorhexidine Varnish in Children and Adolescents: A Systematic Review

Aims: Our purpose was to systematically review the literature on the effectiveness of chlorhexidine varnish for preventing dental caries in children and adolescents and to determine its effectiveness compared to fluoride varnish. Methods: MEDLINE, EMBASE and the Cochrane Library were searched through December 2009 to identify relevant randomised trials with blind outcome assessment and a minimum duration of 1 year. The search was later updated in MEDLINE and the Cochrane Library to March 19th, 2010. Risk of bias of the included trials was assessed. The primary outcome was the caries increment. Results: Twelve trials met the inclusion criteria for the review. There was considerable variation between trials in the concentration and frequency of application of the chlorhexidine varnish, in baseline caries levels and in background exposure to fluoride. Six parallel-group trials reported no statistically significant difference in caries increment in permanent teeth with the application of chlorhexidine varnish compared to placebo or no treatment. The results of 4 split-mouth trials were conflicting: 2 trials found no significant difference in caries increment and 2 reported statistically significant results in favour of chlorhexidine varnish. One trial of the effect of chlorhexidine varnish in primary teeth demonstrated a statistically significant reduction in caries increment. The results of 1 trial comparing chlorhexidine varnish with fluoride varnish for preventing caries in adolescents were equivocal. Conclusion: Evidence regarding the effectiveness of chlorhexidine varnish for preventing caries is inconclusive. Further well-conducted randomised trials are required before chlorhexidine varnish can be recommended for caries prevention.
Using Experience-Based Design to Improve the Care Experience for Patients With Pancreatic Cancer.

PURPOSE Despite the importance of the patient care experience to quality and outcome, the literature detailing the care experience in patients with pancreatic cancer is limited. METHODS To elicit the experience of patients with pancreatic cancer for care redesign, we deployed experience-based design, an emerging methodology based on identification of events of high emotional content, known as touch points, to delineate qualitatively what matters most to patients and families. We defined touch points through direct observations, interviews, and a focus group. We then used experience questionnaires to measure emotional content and develop an experience map to graphically display the fluctuating emotional journey through the care processes. Study subjects were patients with pancreatic cancer who were cared for at Virginia Mason Medical Center, family caregivers, and staff. Redesign was initiated through an all-day improvement event in September 2013. RESULTS During 2013 and 2014, we cared for 485 new patients with pancreatic cancer, the majority of whom had local disease at diagnosis. The response rate for the experience questionnaire was 23% (117 of 500 questionnaires distributed). The experience-based design results were often contrary to staff preconceptions of the care experience for patients with pancreatic cancer, and contributed to redesign in three key areas: understanding and documenting patient goals and values, providing better resources for caregivers/families, and improving care coordination and support services. CONCLUSION Experience-based design enabled us to understand the care experience and associated emotional content for patients with pancreatic cancer and their caregivers. This knowledge then supported care redesign targeted at areas of high negative emotional content.
Enjoy 360° vision with the FlyVIZ

FlyVIZ is a novel concept of wearable display device which enables to extend the human field-of-view up to 360°. With the FlyVIZ users can enjoy an artificial omnidirectional vision and see "with eyes behind their back"! The latest version of this approach called "FlyVIZ_v2" that we propose for the SIGGRAPH audience is a novel, compact, and light-weight prototype based on consumer-grade and on-the-shelf components. It assembles: a smartphone, a panoramic mirror, and an Oculus head-mounted-display in order to process a live video stream of the user's surroundings and provide a real-time omnidirectional image. We propose SIGGRAPH attendees to test this unique sensory experience, and this new kind of augmented vision.
MyRIP, a novel Rab effector, enables myosin VIIa recruitment to retinal melanosomes

Defects of the myosin VIIa motor protein cause deafness and retinal anomalies in humans and mice. We report on the identification of a novel myosin‐VIIa‐interacting protein that we have named MyRIP (myosin‐VIIa‐ and Rab‐interacting protein), since it also binds to Rab27A in a GTP‐dependent manner. In the retinal pigment epithelium cells, MyRIP, myosin VIIa and Rab27A are associated with melanosomes. In transfected PC12 cells, overexpression of MyRIP was shown to interfere with the myosin VIIa tail localization. We propose that a molecular complex composed of Rab27A, MyRIP and myosin VIIa bridges retinal melanosomes to the actin cytoskeleton and thereby mediates the local trafficking of these organelles. The defect of this molecular complex is likely to account for the perinuclear mislocalization of the melanosomes observed in the retinal pigment epithelium cells of myosinVIIa‐defective mice.
Compulsive Smartphone Use: The Roles of Flow, Reinforcement Motives, and Convenience

Along with its rapid growth of penetration, smartphone has become highly prevalent in recent years. Meanwhile, compulsive smartphone use emerges as a rising concern. Given that research on compulsive smartphone use is scarce in the information systems literature, this paper aims to reveal its significant determinants to enrich the theoretical development in this area. In particular, we incorporate flow, reinforcement motives (i.e., instant gratification and mood regulation), and convenience in the research model to examine their influences on compulsive smartphone use. We conduct an empirical online survey with 384 valid responses to assess the model. The findings show that flow and reinforcement motives have direct and significant effects on compulsive use. Convenience affects compulsive use indirectly through flow, while flow further mediates the effects of reinforcement motives on compulsive use. Implications for both research and practice are offered.
On the topology maintenance of dynamic P2P overlays through self-healing local interactions

This paper deals with the use of self-organizing protocols to improve the reliability of dynamic Peer-to-Peer (P2P) overlay networks. We present two approaches, that employ local knowledge of the 2nd neighborhood of nodes. The first scheme is a simple protocol requiring interactions among nodes and their direct neighbors. The second scheme extends this approach by resorting to the Edge Clustering Coefficient (ECC), a local measure that allows to identify those edges that connect different clusters in an overlay. A simulation assessment is presented, which evaluates these protocols over uniform networks, clustered networks and scale-free networks. Different failure modes are considered. Results demonstrate the viability of the proposal.
Response of Saccharomyces cerevisiae to the Stimulation of Lipopolysaccharide

Lipopolysaccharide, known as endotoxin, can stimulate potent host immune responses through the complex of Toll-like-receptor 4 and myeloid differentiation protein 2; but its influence on Saccharomyces cerevisiae, a model organism for studying eukaryotes, is not clear. In this study, we found that lipopolysaccharide-treated S. cerevisiae cells could be stained by methylene blue, but did not die. Transcriptional profiling of the lipopolysaccharide-treated S. cerevisiae cells showed that 5745 genes were modulated: 2491 genes up-regulated and 3254 genes down-regulated. Significantly regulated genes (460 up-regulated genes and 135 down-regulated genes) in lipopolysaccharide-treated S. cerevisiae cells were analyzed on Gene Ontology, and used to establish physical protein-protein interaction network and protein phosphorylation network. Based on these analyses, most of the regulated genes in lipopolysaccharide-treated S. cerevisiae cells were related to cell wall, membrane, peroxisome and mitochondrion. Further experiments demonstrated that lipopolysaccharide stimulation caused the exposure of phosphatidylserine and the increase of mitochondrial membrane potential in S. cerevisiae cells, but levels of intracellular reactive oxygen species and metacaspase activation were not increased. This study demonstrated that lipopolysaccharide stimulation causes significant changes in S. cerevisiae cells, and the results would contribute to understand the response of eukaryotic cells to lipopolysaccharide stimulation.
A Multimodal Approach for Biometric Authentication with Multiple Classifiers

— The paper presents a multimodal approach for biometric authentication, based on multiple classifiers. The proposed solution uses a post-classification biometric fusion method in which the biometric data classifiers outputs are combined in order to improve the overall biometric system performance by decreasing the classification error rates. The paper shows also the biometric recognition task improvement by means of a carefully feature selection, as much as not all of the feature vectors components support the accuracy improvement.
The Organization and Evolution of Dorsal Stream Multisensory Motor Pathways in Primates

In Prosimian primates, New World monkeys, and Old World monkeys microstimulation with half second trains of electrical pulses identifies separate zones in posterior parietal cortex (PPC) where reaching, defensive, grasping, and other complex movements can be evoked. Each functional zone receives a different pattern of visual and somatosensory inputs, and projects preferentially to functionally matched parts of motor and premotor cortex. As PPC is a relatively small portion of cortex in most mammals, including the close relatives of primates, we suggest that a larger, more significant PPC emerged with the first primates as a region where several ethologically relevant behaviors could be initiated by sensory and intrinsic signals, and mediated via connections with premotor and motor cortex. While several classes of PPC modules appear to be retained by all primates, elaboration and differentiation of these modules likely occurred in some primates, especially humans.
Association of whole body motion from tool knowledge for humanoid robots

Since humanoid robots have similar body structures to humans, they are expected to perform various tasks including tool-use manipulation tasks instead of humans. This research studies on learning and performing tool-use manipulation tasks. For tool-use manipulations, understanding the relation between tool motion and whole body motion is crucial. In this paper, a tool-use motion model is designed with tool knowledge and body motion knowledge. The authors propose a method which enables a humanoid robot to associate whole body motion from tool knowledge by adopting the mimesis method from partial observations. When a specific tool trajectory of a tool-use motion is given, appropriate hand motion is associated. From the calculated hand motion, appropriate whole body motion is associated successively. The proposed algorithm is implemented on a humanoid robot.
A planning system of the implant size and position for minimally-invasive closure of the left atrial appendage

This article describes a planning program and process for the implant size and position planning for the minimally-invasive closure of the left atrial appendage. To prevent strokes in patients suffering from atrial fibrillation an implant that occludes the orifice of the left atrial appendage can be inserted into the heart through a catheter. A critical step during the procedure is the correct choice of the implant size in combination with the implant position. The authors describe an approach for a planning program to support the physician during the choice of the implant on the basis of a chosen implantation site. It also offers the possibility to manufacture a model of the left atrial appendage with additive manufacturing methods to allow the testing and the choice of the implant. The paper describes the program and shows first examples of printed models.
Sketching and streaming high-dimensional vectors

A sketch of a dataset is a small-space data structure supporting some prespecified set of queries (and possibly updates) while consuming space substantially sublinear in the space required to actually store all the data. Furthermore, it is often desirable, or required by the application, that the sketch itself be computable by a small-space algorithm given just one pass over the data, a so-called streaming algorithm. Sketching and streaming have found numerous applications in network traffic monitoring, data mining, trend detection, sensor networks, and databases. In this thesis, I describe several new contributions in the area of sketching and streaming algorithms. • The first space-optimal streaming algorithm for the distinct elements problem. Our algorithm also achieves O(1) update and reporting times. • A streaming algorithm for Hamming norm estimation in the turnstile model which achieves the best known space complexity. • The first space-optimal algorithm for pth moment estimation in turnstile streams for 0 < p < 2, with matching lower bounds, and another space-optimal algorithm which also has a fast O(log(1/e) log log(1/e)) update time for (1 ± e)approximation. • A general reduction from empirical entropy estimation in turnstile streams to moment estimation, providing the only known near-optimal space-complexity upper bound for this problem. • A proof of the Johnson-Lindenstrauss lemma where every matrix in the support of the embedding distribution is much sparser than previous known constructions. In particular, to achieve distortion (1 ± e) with probability 1 − δ, we embed into optimal dimension O(e−2 log(1/δ)) and such that every matrix in the support of the distribution has O(e−1 log(1/δ)) non-zero entries per column. Thesis Supervisor: Erik D. Demaine Title: Professor Thesis Supervisor: Piotr Indyk Title: Professor
Efficient combination of Lidar intensity and 3D information by DNN for pedestrian recognition with high and low density 3D sensor

Pedestrian recognition is one of the key components for assisted and autonomous driving. So far many researchers have investigated systems combining a high density LIDAR with cameras or stereo, which results in an expensive and complex setup where the LIDAR data is mostly used to extract regions of interest for the 2D sensor. Very few work has focused on using pure 3D data coming from the LIDAR to recognize pedestrians, and even less have made an intensive use of the intensity information returned by the LIDAR. The intensity information displays a high frequency change between neighboring points of similar material, this can be due to the angle or distance. Due to this, it has not been frequently investigated as a potentially interesting feature as it would require extensive time consuming feature engineering to be worthwhile. In this paper we present a novel 2D representation of a 3D point cloud including the intensity information. We show the ability of convolutional neural networks to handle this data in order to accurately recognize pedestrians in complex driving scenes. Our system outperformed state of the art technique on the STC database. Additionally we show that this system is still highly accurate on low density LIDAR data.
Electro-mechanics in biventricular models

Cardiac electro-mechanical models are valuable tools to gain insights in physiology and pathophysiology of the heart. Progressive models can be created by fusion of various basic models. In this work biventricular models of cardiac electro-mechanics were developed by fusion of anatomical, electrical, and mechanical models. The importance of anatomical modeling was researched by inclusion of two different anatomical models, i.e. an analytical and a magnetic resonance diffusion tensor imaging based model. The fused models were applied in simulations of physiological behavior and results of these were analyzed. Significant difference of deformation were found, which can be attributed to the anatomical models. The analysis emphasized the importance of appropriate anatomical modeling for simulations of cardiac mechanics.
Are floorplan representations important in digital design?

Research in floorplanning and block-packing has generated a variety of data structures to represent spatial configurations of circuit modules. Much of this work focuses on the geometry of module shapes and seeks tighter packing, as well as improvements in the asymptotic worst-case complexity of algorithms for standard tasks. In this work we consider the implications of interconnect optimization on the value of floorplan representations and establish a framework for comparing different representations. By analyzing performance bottlenecks in block packing and properties of floorplan representations, we show that many of the mathematical results in floorplanning do not translate into better VLSI layouts. This is confirmed by extensive empirical data for stand-alone floor-planners and integrated applications.
A capability requirements approach for predicting worker performance in crowdsourcing

Assigning heterogeneous tasks to workers is an important challenge of crowdsourcing platforms. Current approaches to task assignment have primarily focused on content-based approaches, qualifications, or work history. We propose an alternative and complementary approach that focuses on what capabilities workers employ to perform tasks. First, we model various tasks according to the human capabilities required to perform them. Second, we capture the capability traces of the crowd workers performance on existing tasks. Third, we predict performance of workers on new tasks to make task routing decisions, with the help of capability traces. We evaluate the effectiveness of our approach on three different tasks including fact verification, image comparison, and information extraction. The results demonstrate that we can predict worker's performance based on worker capabilities. We also highlight limitations and extensions of the proposed approach.
Parental predictors of fruit and vegetable consumption in treatment-seeking overweight children.

BACKGROUND Information on the role of family dietary behaviours is needed to enable the design of effective interventions for treatment of childhood obesity. The present study aimed to analyse differences in consumption and predictors of fruit, berries and vegetables (FBV) between normal-weight and overweight treatment-seeking children and their parents. METHODS Fifty-four treatment-seeking overweight and 65 normal-weight 8-year-old children and their parents participated in the present study. Children's and parent's consumption of FBV were assessed by a food frequency questionnaire. Availability of vegetables at home meals, child's preference for FBV and parent's control over portion size were determined. Weight and height were measured and the standardised body mass index of each child was calculated. Multiple linear regression analysis was performed to investigate the predictors of children's FBV consumption. RESULTS Normal-weight children and parents ate FBV more frequently than overweight children. In the multiple linear regression analysis, mother's (β = 0.476, P ≤ 0.001) and father's consumption of FBV (β = 0.347, P = 0.001) and child's preference for eating vegetables (β = 0.259, P = 0.002) were positively associated with the child's consumption of FBV. In overweight children, parent's consumption of FBV was the only predictor of the offspring's consumption of FBV (P = 0.002). CONCLUSIONS Predictors related to FBV consumption appear to be the similar in normal-weight and treatment-seeking overweight children. The findings obtained in the present study highlight the importance of parental modelling in determining the consumption of FBV in their children.
Concurrency, latency, or system overhead: Which has the largest impact on uniprocessor DRAM-system performance?

Given a fixed CPU architecture and a fixed DRAM timing specification, there is still a large design space for a DRAM system organization. Parameters include the number of memory channels, the bandwidth of each channel, burst sizes, queue sizes and organizations, turnaround overhead, memory-controller page protocol, algorithms for assigning request priorities and scheduling requests dynamically, etc. In this design space, we see a wide variation in application execution times; for example, execution times for SPEC CPU 2000 integer suite on a 2-way ganged direct rambles organization (32 data bits) with 64-byte bursts are 10-20% lower than execution times on an otherwise identical configuration that uses 32-byte bursts. This represents two system configurations that are relatively close to each other in the design space; performance differences become even more pronounced for designs further apart. This paper characterizes the sources of overhead in high-performance DRAM systems and investigates the most effective ways to reduce a system's exposure to performance loss. In particular, we look at mechanisms to increase a system's support for concurrent transactions, mechanisms to reduce request latency, and mechanisms to reduce the "system overhead"-the portion of the primary memory system's overhead that is not due to DRAM latency but rather to things like turnaround time, request queueing inefficiencies due to read/write request interleaving, etc. Our simulator models a 2 GHz, highly aggressive out-of-order uniprocessor. The interface to the memory system is fully non-blocking, supporting up to 32 outstanding misses at both the level-1 and level-2 caches and split-transaction busses to all DRAM banks.