A model is proposed in which the relationship between individual neurons within a neural network is dynamically changing to the effect of providing a measure of "plasticity" in the control of heart rate. The neural network on which the model is based consists of three populations of neurons residing in the central nervous system, the intrathoracic extracardiac nervous system, and the intrinsic cardiac nervous system. This hierarchy of neural centers is used to challenge the classical view that the control of heart rate, a key clinical index, resides entirely in central neuronal command (spinal cord, medulla oblongata, and higher centers). Our results indicate that dynamic networking allows for the possibility of an interplay among the three populations of neurons to the effect of altering the order of control of heart rate among them. This interplay among the three levels of control allows for different neural pathways for the control of heart rate to emerge under different blood flow demands or disease conditions and, as such, it has significant clinical implications because current understanding and treatment of heart rate anomalies are based largely on a single level of control and on neurons acting in unison as a single entity rather than individually within a (plastically) interconnected network.

Purpose – The purpose of this study is to investigate the relative efficacies of intrinsic and extrinsic cues as drivers of customer loyalty to financial institutions between male and female bank customers. Design/methodology/approach – A large-scale survey of 872 customers of a national bank serves as the study setting. Findings – Results showed that extrinsic cues were the more effective correlates of customer loyalty and that gender does not moderate the relationships between image cues and customer loyalty. Research limitations/implications – The cross-sectional nature of the current study does not allow causal inferences. Therefore, future studies should adopt longitudinal designs. Practical implications – Results suggest that, although transmitting a favorable image through extrinsic cues is critical, nevertheless, intrinsic cues (interactions among customers and bank personnel) should not be ignored. To reinforce this not only among current customers but also among potential customers, banks should use advertisements featuring favorable testimonials. Originality/value – Empirical research in the banking services literature pertaining to the efficacies of intrinsic and extrinsic cues in forming customer loyalty is scarce. This study fills in the void. Also, in determining if the relationships between image and customer loyalty vary by gender, the authors not only looked at male versus female differences on the basis of average construct scores but also examined the structural relationships among the constructs.

Electrical excitation of the dorsal aspect of the rostral thoracic spinal cord imparts long-term therapeutic benefits to patients with angina pectoris. Such spinal cord stimulation also induces short-term suppressor effects on the intrinsic cardiac nervous system. The purpose of this study was to determine whether spinal cord stimulation (SCS) induces long-term effects on the intrinsic nervous system, particularly in the presence of myocardial ischaemia. The activity generated by right atrial neurons was recorded in 10 anesthetized dogs during basal states, during prolonged (15 min) occlusion of the left anterior descending coronary artery, and during the subsequent reperfusion phase. Neuronal activity and cardiovascular indices were also monitored when the dorsal T1-T4 segments of the spinal cord were stimulated electrically (50 Hz; 0.2 ms) at an intensity 90% of motor threshold (mean 0.32 mA) for 17 min. SCS was performed before, during and after 15-min periods of regional ventricular ischaemia. Occlusion of a major coronary artery, one that did not perfuse investigated neurons, resulted in their excitation. Ischaemia-induced neuronal excitatory effects were suppressed (-76% from baseline) by SCS. SCS suppression of intrinsic cardiac neuronal activity persisted during the subsequent reperfusion period; after terminating 17 min of SCS, at least 20 min elapsed before intrinsic cardiac neuronal activity returned to baseline values. It is concluded that populations of intrinsic cardiac neurons are activated by inputs arising from the ischaemic myocardium. Ischaemia-induced activation of these neurons is nullified by SCS. The neuronal suppressor effects that SCS induces persist not only during reperfusion, but also for an extended period of time thereafter. These long-term effects may account, in part, for the fact that SCS imparts clinical benefit to patients with angina of cardiac origin not only during its application, but also for a time thereafter.

The goal of most games is to entertain and elicit a response in the form of enjoyment from the player. Tools are used to accomplish this; they come in the extrinsic and intrinsic variety. We have focused on intrinsic rewards, the foundation of gratifying game-play experiences. In this study, we have explored the effects of these rewards on the player enjoyment by conducting three experiments with varying degrees of rewards. Established theories, e.g., flow theory have been consulted to create a suitable testing environment. The experiments used methods like “A/B” and “think aloud” in order to collect reliable data. Our findings suggest that a carefully balanced reward system is required to achieve the highest amount of player enjoyment. It is, however, preferable to have a seemingly excessive amount of rewards as the frustration is negligible in comparison to that which is caused by disappointment caused by insufficient rewards.

Although the use of monetary incentives as motivational tools has been studied by previous researchers, the mechanism of the relationship between monetary incentives and behavior/performance remains poorly understood. The purpose of this quasi-experimental investigation was to explore the relationship between 3 levels of monetary incentives ($0, $3, and $10) and the athletic performance of adolescent male soccer players. The moderating effect of perceived physical self-efficacy or intrinsic motivation on the relationship between athletic performance and monetary incentives was also investigated. The framework for the study was comprised of expectancy theory, the theory of planned behavior, and self-determination theory. Study participants included a convenience sample of 16 adolescent male soccer players between the ages of 11 and 13 who played on a youth soccer league in the Midwestern United States. The independent variable was level of monetary incentive, and the dependent variable was athletic performance (time on the 50-yard dash). Intrinsic motivation was assessed using the Sport Motivation Scale. Perceived physical self-efficacy was assessed via participants' scores on the Physical Self-Efficacy Scale for Children. Analysis, which included a repeated measures linear mixed-effects model and post-hoc pairwise comparisons, revealed that players' athletic performance increased as monetary incentives increased. Intrinsic motivation and perceived physical self-efficacy had no statistically significant interaction effect on the relationship between athletic performance and monetary incentives. Findings shed light on the potential usefulness of monetary incentives among male adolescents, and may be used by coaches to foster a mindset of achievement and goal-orientation.

Determining tendon tension in the finger is essential to understanding forces that may be detrimental to hand function. Direct measurement is not feasible, making biomechanical modelling the best way to estimate these forces. In this study, the intrinsic muscles and extensor mechanism were added to an existing model of the index finger, and as such, it has been named the Intrinsic model. The Intrinsic model of the index finger has 4 degrees of freedom and 7 muscles (with 14 components). Muscle properties and paths for all extrinsic and intrinsic muscles were derived from the literature. Two models were evaluated, the Intrinsic model and the model it was adapted from (identified in this thesis as the Extrinsic-only model). To complement the model, multiple static optimization solution methods were also developed that allowed for EMG-constrained solutions and applied objective functions to promote co-contraction. To test the models and solution methods, 10 participants performed 9 static pressing tasks at 3 force levels, and 5 free motion dynamic tasks at 2 speeds. Kinematics, contact forces, and EMG (from the extrinsic muscles and first dorsal interosseous) were collected. For all solution methods, muscle activity predicted using the Intrinsic model was compared to activity from the model currently available through open-source software (OpenSim). Just by using the Intrinsic model, co-contraction increased by 16% during static palmar pressing tasks. The EMG-constrained solution methods gave a smaller difference between predicted and experimental activity compared to the optimization-only approach (p < 0.03). The model and solution methods developed in this thesis improve co-contraction and tendon tension estimates in the finger. As such, this work contributes to our understanding of the control of the hand and the forces that may be detrimental to hand function. / Thesis / Master of Science (MSc)

<p><br></p><p>The pharmaceutical industry depends on deeply understanding pharmaceutical excipients and active ingredients. The physicochemical properties must be sufficiently understood to create a safe and efficacious drug product. High-throughput methods have reduced the time and material required to measure many properties appropriately. However, some are more difficult to evaluate. One such property is solubility or the equilibrium dissolvable content of the material. Solubility is an essential factor in determining the bioavailability of an active ingredient and, therefore, directly impacts the effectiveness and marketability of the drug product.</p><p>Solubility can be a challenging, time-consuming, material-intensive property to measure correctly. Due to the challenge associated with determining experimental values, researchers have devoted a significant amount of time toward the accurate prediction of solubility values of drug-like compounds. This remains a difficult task as there are two hurdles to overcome: data quality and specificity of molecular descriptors. Large databases of reliable solubility values have become more readily available in recent years, lowering the first barrier to more accurate solubility predictions. The second hurdle has proven more challenging to overcome. Advances in artificial intelligence (AI) have provided opportunities for improvement in estimations. Expressly, the subsets of machine learning and neural networks have provided the ability to evaluate vast quantities of data with relative ease. The remaining barrier arises from appropriately selecting AI techniques with descriptors that accurately describe relevant features. Although many attempts have been made, no single set of descriptors with either data-driven approaches or <i>ab initio</i> methods has accurately predicted solubility.</p><p>The research within this dissertation focuses on an attempt to lower the second barrier to solubility prediction by starting with molecular features that are most important to solubility. By deriving molecular descriptors from the electronic properties on the surface of molecules, we obtain precise descriptions of the strength and locality of intermolecular interactions, critical factors in the extent of solubility. The novel molecular descriptors are readily integrated into a Deep-sets based Graph and Self-Attention Neural Network, which evaluates predictive performance. The findings of this research indicate significant improvement in predicting intrinsic solubility over other literature-reported methods.</p>

While self-determination researchers emphasize the importance of pursuing internally motivated goals for self-regulation, cybernetic theorists instead highlight the structural features of goal systems and the manner in which such structural features should facilitate controlled behavior in daily life. However, it was our intuition that a consideration of both these literatures might best explain self-regulatory processes in daily life. Along these lines, we conducted two studies in which we measured the degree to which a person's goals are organized in hierarchical manner with respect to their intrinsic versus extrinsic properties. In Study 1, we found that individuals with hierarchical goal structures were less likely to experience increased motivation to quit following frustrating events. Consistent with this pattern, in Study 2 we found that negative feedback concerning goal progress adversely affected only those without hierarchical goal structures. Implications of these findings for perspectives on self-regulation are discussed, as well as potential new directions for testing cybernetic concepts within human functioning.

<p> The microstrip transmission line has been theoretically analysed using conformal transformation and variational techniques. The variational method has been used to compute the line capacitance, characteristic impedance and guide wavelength of the following microstrip structures: (i) Microstrip transmission lines having negligible and finite strip conductor thickness. (ii) Microstrip transmission lines on two layer dielectric substrates having negligible and finite strip conductor thickness.</p><p> The total losses incurred in microstrip lines on semiconductor substrates have been included. An experimental technique (based on the Deschamps method) for measuring the characteristic impedance of microstrip lines through a lossy junction using a high precision microwave reflection bridge has been described. Measurements of the characteristic impedance of microstrip lines on intrinsic germanium substrates have been carried out at 9.38 GHz, and good agreement between the theoretical and experimental results have been obtained.</p> / Thesis / Master of Engineering (MEngr)

Examining the role of individual differences, especially variations in human motivation, in vigilance tasks will result in a better understanding of sustained semantic attention and processing, which has, to date, received limited study in the literature (see Fraulini, Hancock, Neigel, Claypoole, & Szalma, 2017; Epling, Russell, & Helton, 2016; Thomson et al., 2016). This present study seeks to understand how individual differences in intrinsic motivation affect performance in a short semantic vigilance task. Performance across two conditions (lure vs. standard condition) were compared in the present study of 79 undergraduate students at the University of Central Florida. The results indicated significant main effects of intrinsic motivation on pre- and post-task stress factors, workload, and performance measures, which included correct detections, false alarms, and response time. Sensitivity and response bias, which are indices of signal detection theory, were also examined in the present study. Intrinsic motivation influenced sensitivity, but not response bias, which was affected by period on watch. The theoretical and practical implications of this research are also discussed.