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165. Relationship between Stress and Neuroimmunological Responses and Health Literacy in Newly Diagnosed HIV-Infected Patients: An Exploratory Study

Author

Bengt B. Arnetz, Judith E. Arnetz, Norbert Kaminski, Ryan Tomlin, Andrew Cole, Pamela Bartlett, Robert Crawford, and Andrew Jameson

Subjects
Immunologic diseases. Allergy, RC581-607
Abstract

Objectives. We aimed to study self-rated health and psycho-neuroimmunological responses during the initial 6 months after testing positive for human immunodeficiency virus (HIV) and its relationship to health literacy, that is, the ability to take in and understand information about one’s illness. Health literacy plays a critical role in patients’ ability to adhere to antiretroviral treatment (ART). However, there is a lack of studies on the possible impact of HIV-induced proinflammatory processes on health literacy. Methods. Twelve patients with newly diagnosed HIV attending an urban Ryan White-funded HIV clinic responded to a questionnaire and had blood samples drawn at baseline (first visit) and after 1, 3, and 6 months, respectively. The questionnaire measured stress, depression, and health literacy. Blood was analyzed for HIV RNA plasma viral load, CD4 cell count, pro- and antistress, and inflammatory markers. Results. Complete data for the entire 4 collection periods were available for nine patients. Over the 6-month period, mean viral load decreased from 353,714.83 (standard deviation 870,334.61) to 35.89 (14.04) copies/mL (p

Published
2024
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166. Expert Selection in High-Dimensional Markov Decision Processes

Author

Rubies-Royo, Vicenc, Mazumdar, Eric, Dong, Roy, Tomlin, Claire, and Sastry, S. Shankar

Subjects
Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Electrical Engineering and Systems Science - Systems and Control
Abstract

In this work we present a multi-armed bandit framework for online expert selection in Markov decision processes and demonstrate its use in high-dimensional settings. Our method takes a set of candidate expert policies and switches between them to rapidly identify the best performing expert using a variant of the classical upper confidence bound algorithm, thus ensuring low regret in the overall performance of the system. This is useful in applications where several expert policies may be available, and one needs to be selected at run-time for the underlying environment., Comment: In proceedings of the 59th IEEE Conference on Decision and Control 2020. arXiv admin note: text overlap with arXiv:1707.05714

Published
2020

167. Dynamically Computing Adversarial Perturbations for Recurrent Neural Networks

Author

Deka, Shankar A., Stipanović, Dušan M., and Tomlin, Claire J.

Subjects
Computer Science - Machine Learning, Electrical Engineering and Systems Science - Systems and Control, Mathematics - Dynamical Systems, Statistics - Machine Learning, 68T07, 93B52, 93C10, 49N90, I.2.8
Abstract

Convolutional and recurrent neural networks have been widely employed to achieve state-of-the-art performance on classification tasks. However, it has also been noted that these networks can be manipulated adversarially with relative ease, by carefully crafted additive perturbations to the input. Though several experimentally established prior works exist on crafting and defending against attacks, it is also desirable to have theoretical guarantees on the existence of adversarial examples and robustness margins of the network to such examples. We provide both in this paper. We focus specifically on recurrent architectures and draw inspiration from dynamical systems theory to naturally cast this as a control problem, allowing us to dynamically compute adversarial perturbations at each timestep of the input sequence, thus resembling a feedback controller. Illustrative examples are provided to supplement the theoretical discussions., Comment: Submitted to IEEE Transactions on Neural Networks and Learning Systems

Published
2020

168. Achieving fair sampling in quantum annealing

Author

Kumar, Vaibhaw, Tomlin, Casey, Nehrkorn, Curt, O'Malley, Daniel, and Dulny III, Joseph

Subjects
Quantum Physics
Abstract

Sampling all ground states of a Hamiltonian with equal probability is a desired feature of a sampling algorithm, but recent studies indicate that common variants of transverse field quantum annealing sample the ground state subspace unfairly. In this note, we present perturbation theory arguments suggesting that this deficiency can be corrected by employing reverse annealing-inspired paths. We confirm that this conclusion holds in simulations of previously studied small instances with degeneracy, as well as larger instances on quantum annealing hardware., Comment: 5 pages, 5 figures

Published
2020

169. Feature Expansive Reward Learning: Rethinking Human Input

Author

Bobu, Andreea, Wiggert, Marius, Tomlin, Claire, and Dragan, Anca D.

Subjects
Computer Science - Robotics, Computer Science - Artificial Intelligence, Computer Science - Human-Computer Interaction, Computer Science - Machine Learning, Statistics - Machine Learning
Abstract

When a person is not satisfied with how a robot performs a task, they can intervene to correct it. Reward learning methods enable the robot to adapt its reward function online based on such human input, but they rely on handcrafted features. When the correction cannot be explained by these features, recent work in deep Inverse Reinforcement Learning (IRL) suggests that the robot could ask for task demonstrations and recover a reward defined over the raw state space. Our insight is that rather than implicitly learning about the missing feature(s) from demonstrations, the robot should instead ask for data that explicitly teaches it about what it is missing. We introduce a new type of human input in which the person guides the robot from states where the feature being taught is highly expressed to states where it is not. We propose an algorithm for learning the feature from the raw state space and integrating it into the reward function. By focusing the human input on the missing feature, our method decreases sample complexity and improves generalization of the learned reward over the above deep IRL baseline. We show this in experiments with a physical 7DOF robot manipulator, as well as in a user study conducted in a simulated environment., Comment: 13 pages, 14 figures

Published
2020
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170. Eyes-Closed Safety Kernels: Safety for Autonomous Systems Under Loss of Observability

Author

Laine, Forrest, Chiu, Chiu-Yuan, and Tomlin, Claire

Subjects
Electrical Engineering and Systems Science - Systems and Control
Abstract

A framework is presented for handling a potential loss of observability of a dynamical system in a provably-safe way. Inspired by the fragility of data-driven perception systems used by autonomous vehicles, we formulate the problem that arises when a sensing modality fails or is found to be untrustworthy during autonomous operation. We cast this problem as a differential game played between the dynamical system being controlled and the external system factor(s) for which observations are lost. The game is a zero-sum Stackelberg game in which the controlled system (leader) is trying to find a trajectory which maximizes a function representing the safety of the system, and the unobserved factor (follower) is trying to minimize the same function. The set of winning initial configurations of this game for the controlled system represent the set of all states in which safety can be maintained with respect to the external factor, even if observability of that factor is lost. This is the set we refer to as the Eyes-Closed Safety Kernel. In practical use, the policy defined by the winning strategy of the controlled system is only needed to be executed whenever observability of the external system is lost or the system deviates from the Eyes-Closed Safety Kernel due to other, non-safety oriented control schemes. We present a means for solving this game offline, such that the resulting winning strategy can be used for computationally efficient, provably-safe, online control when needed. The solution approach presented is based on representing the game using the solutions of two Hamilton-Jacobi partial differential equations. We illustrate the applicability of our framework by working through a realistic example in which an autonomous car must avoid a dynamic obstacle despite potentially losing observability., Comment: Accepted at Robotics: Science and Systems 2020, 9 pages

Published
2020

171. Reinforcement Learning for Safety-Critical Control under Model Uncertainty, using Control Lyapunov Functions and Control Barrier Functions

Author

Choi, Jason, Castañeda, Fernando, Tomlin, Claire J., and Sreenath, Koushil

Subjects
Electrical Engineering and Systems Science - Systems and Control, Computer Science - Machine Learning, Computer Science - Robotics
Abstract

In this paper, the issue of model uncertainty in safety-critical control is addressed with a data-driven approach. For this purpose, we utilize the structure of an input-ouput linearization controller based on a nominal model along with a Control Barrier Function and Control Lyapunov Function based Quadratic Program (CBF-CLF-QP). Specifically, we propose a novel reinforcement learning framework which learns the model uncertainty present in the CBF and CLF constraints, as well as other control-affine dynamic constraints in the quadratic program. The trained policy is combined with the nominal model-based CBF-CLF-QP, resulting in the Reinforcement Learning-based CBF-CLF-QP (RL-CBF-CLF-QP), which addresses the problem of model uncertainty in the safety constraints. The performance of the proposed method is validated by testing it on an underactuated nonlinear bipedal robot walking on randomly spaced stepping stones with one step preview, obtaining stable and safe walking under model uncertainty., Comment: The first two authors contributed equally to this work

Published
2020

172. Improving Input-Output Linearizing Controllers for Bipedal Robots via Reinforcement Learning

Author

Castañeda, Fernando, Wulfman, Mathias, Agrawal, Ayush, Westenbroek, Tyler, Tomlin, Claire J., Sastry, S. Shankar, and Sreenath, Koushil

Subjects
Electrical Engineering and Systems Science - Systems and Control, Computer Science - Machine Learning, Computer Science - Robotics
Abstract

The main drawbacks of input-output linearizing controllers are the need for precise dynamics models and not being able to account for input constraints. Model uncertainty is common in almost every robotic application and input saturation is present in every real world system. In this paper, we address both challenges for the specific case of bipedal robot control by the use of reinforcement learning techniques. Taking the structure of a standard input-output linearizing controller, we use an additive learned term that compensates for model uncertainty. Moreover, by adding constraints to the learning problem we manage to boost the performance of the final controller when input limits are present. We demonstrate the effectiveness of the designed framework for different levels of uncertainty on the five-link planar walking robot RABBIT., Comment: Final version appearing in Learning for Dynamics and Control (L4DC) 2020 Conference

Published
2020

173. Technical Report: Adaptive Control for Linearizable Systems Using On-Policy Reinforcement Learning

Author

Westenbroek, Tyler, Mazumdar, Eric, Fridovich-Keil, David, Prabhu, Valmik, Tomlin, Claire J., and Sastry, S. Shankar

Subjects
Computer Science - Machine Learning, Mathematics - Dynamical Systems, Mathematics - Optimization and Control, Statistics - Machine Learning
Abstract

This paper proposes a framework for adaptively learning a feedback linearization-based tracking controller for an unknown system using discrete-time model-free policy-gradient parameter update rules. The primary advantage of the scheme over standard model-reference adaptive control techniques is that it does not require the learned inverse model to be invertible at all instances of time. This enables the use of general function approximators to approximate the linearizing controller for the system without having to worry about singularities. However, the discrete-time and stochastic nature of these algorithms precludes the direct application of standard machinery from the adaptive control literature to provide deterministic stability proofs for the system. Nevertheless, we leverage these techniques alongside tools from the stochastic approximation literature to demonstrate that with high probability the tracking and parameter errors concentrate near zero when a certain persistence of excitation condition is satisfied. A simulated example of a double pendulum demonstrates the utility of the proposed theory. 1

Published
2020

174. Visual Navigation Among Humans with Optimal Control as a Supervisor

Author

Tolani, Varun, Bansal, Somil, Faust, Aleksandra, and Tomlin, Claire

Subjects
Computer Science - Robotics, Computer Science - Artificial Intelligence, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning, Electrical Engineering and Systems Science - Systems and Control
Abstract

Real world visual navigation requires robots to operate in unfamiliar, human-occupied dynamic environments. Navigation around humans is especially difficult because it requires anticipating their future motion, which can be quite challenging. We propose an approach that combines learning-based perception with model-based optimal control to navigate among humans based only on monocular, first-person RGB images. Our approach is enabled by our novel data-generation tool, HumANav that allows for photorealistic renderings of indoor environment scenes with humans in them, which are then used to train the perception module entirely in simulation. Through simulations and experiments on a mobile robot, we demonstrate that the learned navigation policies can anticipate and react to humans without explicitly predicting future human motion, generalize to previously unseen environments and human behaviors, and transfer directly from simulation to reality. Videos describing our approach and experiments, as well as a demo of HumANav are available on the project website., Comment: Project Website: https://smlbansal.github.io/LB-WayPtNav-DH/

Published
2020

175. Inference-Based Strategy Alignment for General-Sum Differential Games

Author

Peters, Lasse, Fridovich-Keil, David, Tomlin, Claire J., and Sunberg, Zachary N.

Subjects
Computer Science - Robotics, Electrical Engineering and Systems Science - Systems and Control
Abstract

In many settings where multiple agents interact, the optimal choices for each agent depend heavily on the choices of the others. These coupled interactions are well-described by a general-sum differential game, in which players have differing objectives, the state evolves in continuous time, and optimal play may be characterized by one of many equilibrium concepts, e.g., a Nash equilibrium. Often, problems admit multiple equilibria. From the perspective of a single agent in such a game, this multiplicity of solutions can introduce uncertainty about how other agents will behave. This paper proposes a general framework for resolving ambiguity between equilibria by reasoning about the equilibrium other agents are aiming for. We demonstrate this framework in simulations of a multi-player human-robot navigation problem that yields two main conclusions: First, by inferring which equilibrium humans are operating at, the robot is able to predict trajectories more accurately, and second, by discovering and aligning itself to this equilibrium the robot is able to reduce the cost for all players.

Published
2020

176. Quality of life, wellbeing, recovery, and progress for older forensic mental health patients: a qualitative investigation based on the perspectives of patients and staff

Author

Kate Walker, Jen Yates, Tom Dening, Birgit Völlm, Jack Tomlin, and Chris Griffiths

Subjects
forensic mental health, older patients, quality of life, recovery, service provision, Medicine (General), R5-920
Abstract

Purpose There is a lack of research informing service requirements for older (aged≥55 years) forensic mental health patients. The aim of this research was to increase knowledge about older forensic mental health patients’ quality of life, wellbeing, recovery, and progress, in order to make recommendations of how to facilitate and enhance these factors. Methods In-depth interviews with patients (N = 37) and staff (N = 48) were undertaken; data were analysed using thematic analysis. Results Environmental (e.g., physical, structural and facilities), relational (staff, family and friends) and individual (characteristics, feelings, behaviours) factors were identified as enablers and/or obstacles to wellbeing, recovery, progress and quality of life. Conclusions The physical and psychological environment of services needs to be adapted to meet the needs of patients. Therapeutic relationships with staff should be encouraged and a person-centred and individual recovery approach adopted. Prosocial relationships with peers, friends and family need to be fostered to enable positive recovery outcomes. Older patients should be empowered to develop a sense of autonomy to enable quality of life, wellbeing, and recovery, and progress.

Published
2023
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177. Effect of the COVID-19 pandemic on asthma exacerbations in New Zealand: An interrupted time series analysis

Author

Amy Hai Yan Chan, PhD, Andrew Tomlin, PGDipSci, Eliza Chan, MSc, Jeff Harrison, PhD, and Kebede A. Beyene, PhD

Subjects
Asthma, COVID-19, public health, interrupted time series, exacerbations, hospitalizations, Immunologic diseases. Allergy, RC581-607
Abstract

Background: New Zealand (NZ) implemented some of the strictest restrictions during the novel coronavirus pandemic (coronavirus disease 2019 [COVID-19]), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). How this impacted asthma exacerbation rates in NZ is unknown. Objective: We sought to explore the effects of the COVID-19 restrictions on asthma exacerbations in NZ during 2020. Methods: We used a population-based, interrupted time series to examine the impact of the first COVID-19 lockdown in NZ on asthma exacerbation rate. The primary outcome measure was change in the monthly exacerbation rate, defined as hospitalization and/or course of corticosteroids, before and after the first lockdown. In a secondary analysis, we quantified the number of patients with asthma, the actual asthma exacerbation rate from March to December 2019 versus March to December 2020, and the number of asthma hospitalizations. Results: There was a significant drop in the exacerbation rate immediately after lockdown (−3.02; P < .0001) followed by a significant and sustained increasing trend; the rate postlockdown increased relative to that prelockdown (0.27; P < .0001). Similar patterns were observed in all sociodemographic groups. In our secondary analysis, we identified 507,622 people with asthma; this reduced to 458,023 in 2020 postlockdown. The overall asthma exacerbation rate was 33.3% less in 2020 than in 2019 (reduction from 48.6/1000 patients to 32.4/1000 patients). The rate of asthma hospitalizations decreased from 9.5 per 1000 patients in 2019 to 6.2 per 1000 patients in 2020; this decrease was observed across all demographic groups. Conclusions: The first COVID-19 lockdown in 2020 in NZ significantly reduced asthma exacerbation rates across all sociodemographic groups. Whether these reductions are sustained requires further investigation.

Published
2023
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180. Generating Robust Supervision for Learning-Based Visual Navigation Using Hamilton-Jacobi Reachability

Author

Li, Anjian, Bansal, Somil, Giovanis, Georgios, Tolani, Varun, Tomlin, Claire, and Chen, Mo

Subjects
Computer Science - Robotics, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning, Electrical Engineering and Systems Science - Systems and Control
Abstract

In Bansal et al. (2019), a novel visual navigation framework that combines learning-based and model-based approaches has been proposed. Specifically, a Convolutional Neural Network (CNN) predicts a waypoint that is used by the dynamics model for planning and tracking a trajectory to the waypoint. However, the CNN inevitably makes prediction errors which often lead to collisions in cluttered and tight spaces. In this paper, we present a novel Hamilton-Jacobi (HJ) reachability-based method to generate supervision for the CNN for waypoint prediction in an unseen environment. By modeling CNN prediction error as "disturbances" in robot's dynamics, our generated waypoints are robust to these disturbances, and consequently to the prediction errors. Moreover, using globally optimal HJ reachability analysis leads to predicting waypoints that are time-efficient and avoid greedy behavior. Through simulations and hardware experiments, we demonstrate the advantages of the proposed approach on navigating through cluttered, narrow indoor environments., Comment: Learning for Dynamics and Control (L4DC) 2020

Published
2019

181. Design of the First Insect-scale Spinning-wing Robot

Author

Bhushan, Palak and Tomlin, Claire

Subjects
Computer Science - Robotics
Abstract

Here we present the design of an insect-scale microrobot that generates lift by spinning its wings. This is in contrast to most other microrobot designs at this size scale which rely on flapping wings to produce lift. The robot has a wing span of 4 centimeters and weighs 133 milligrams. It spins its wings at 47 revolutions/second generating $>$ 138 milligrams of lift while consuming approximately 60 milliwatts of total power and operating at a low voltage ($<$ 3 V). Of the total power consumed 8.8 milliwatts is mechanical power generated, part of which goes towards spinning the wings, and 51 milliwatts is wasted in resistive Joule heating. With a lift-to-power ratio of 2.3 grams/W, its performance is at par with the best reported flapping wing devices at the insect-scale., Comment: 6 pages. (under review) submitted to Robotics and Automation Letters 2019

Published
2019
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184. Empagliflozin in patients admitted to hospital with COVID-19 (RECOVERY): a randomised, controlled, open-label, platform trial

Author

Abani, O, Abbas, A, Abbas, F, Abbas, J, Abbas, K, Abbas, M, Abbasi, S, Abbass, H, Abbott, A, Abdallah, N, Abdelaziz, A, Abdelfattah, M, Abdelqader, B, Abdul, A, Abdul, B, Abdul, S, Abdul Rasheed, A, Abdulakeem, A, Abdul-Kadir, R, Abdullah, A, Abdulmumeen, A, Abdul-Raheem, R, Abdulshukkoor, N, Abdusamad, K, Abed El Khaleq, Y, Abedalla, M, Abeer Ul Amna, A, Abel, L, Abernethy, K, Abeywickrema, M, Abhinaya, C, Abidin, A, Aboaba, A, Aboagye-Odei, A, Aboah, C, Aboelela, H, Abo-Leyah, H, Abouelela, K, Abou-Haggar, A, Abouibrahim, M, Abousamra, A, Abouzaid, M, Abraham, M, Abraham, T, Abraheem, A, Abrams, J, Abrams, R, Abu, HJ, Abu-Arafeh, A, Abubacker, SM, Abung, A, Abusamra, Y, Aceampong, Y, Achara, A, Acharya, D, Acheampong, F, Acheampong, P, Acheampong, S, Acheson, J, Achieng, S, Acosta, A, Acquah, R, Acton, C, Adabie-Ankrah, J, Adair, P, Adam, AS, Adam, F, Adam, M, Adamali, H, Adamczyk, M, Adams, C, Adams, D, Adams, K, Adams, L, Adams, N, Adams, R, Adams, T, Adamu-Ikeme, L, Adatia, K, Adcock, K, Addai-Boampong, L, Addo, A, Adeagbo, O, Adebiyi, A, Adedeji, O, Adegeye, Y, Adegoke, K, Adell, V, Adenwalla, S, Adeoye, FW, Adesemoye, OA, Adewunmi, EO, Adeyanju, A, Adeyemi, J, Adeyemo, T, Adhikari, B, Adhikari, SA, Adhikary, R, Aditya, A, Adjepong, P, Adkins, G, Adnan, A, Adriaanse, M, Aeron-Thomas, J, Affleck, D, Afnan, C, Afridi, M, Afrim, P, Afriyie, FA, Aftab, ZA, Afum-Adjei Awuah, A, Agarwal, M, Agasiya, PN, Agbeko, R, Agbo, C, Aggarwal, S, Aghababaie, A, Aguilar Jimenez, L, Agyekum, JA, Agyen, K, Ahadome, EK, Ahamed Sadiq, S, Ahammed Nazeer, MH, Ahmad, M, Ahmad, S, Ahmed, A, Ahmed, BAR, Ahmed, B, Ahmed, F, Ahmed, H, Ahmed, I, Ahmed, K, Ahmed, L, Ahmed, M, Ahmed, MC, Ahmed, MS, Ahmed, N, Ahmed, O, Ahmed, RA, Ahmed, R, Ahmed, S, Ahmed, SG, Ahmed, SH, Ahmed Ali, R, Ahmed Mohamud, B, Ahmer, S, Ahonia, A, Aidoo, C, Aiken, C, Ail, D, Ainsworth, M, Aissa, M, Aitken, L, Ajay, B, Ajibode, A, Ajmi, A, Akhtar, N, Akili, S, Akinbiyi, B, Akindolie, O, Akinfenwa, Y, Akinkugbe, O, Akinpelu, I, Akram, M, Aktinade, O, Akudi, U, Al Aaraj, ASAR, Al Balushi, A, Al Dakhola, M, Al Swaifi, A, Al-Abadi, E, Alabi, A, Aladangady, N, Alafifi, M, Alam, A, Alam, S, Al-Asadi, A, Alatzoglou, K, Albert, P, Albertus, A, Albon, L, Alcala, A, Alcorn, G, Alcorn, S, Aldana, A, Alderdice, D, Aldesouki, A, Aldouri, R, Aldridge, J, Aldridge, N, Ale, RM, Alegria, A, Alexander, A, Alexander, C, Alexander, J, Alexander, PDG, Al-fori, J, Alghazawi, L, Alhabsha, O, Al-Hakim, B, Alhameed, R, Al-Hayali, M, Al-Hity, S, Ali, A, Ali, FR, Ali, J, Ali, M, Ali, MS, Ali, N, Ali, O, Ali, R, Ali, S, Aliberti, E, Alin, J, Alina, A, Alipustain, A, Alisjahbana, B, Aliyuda, F, Alizadeh, K, Al-Jibury, M, Al-Juboori, S, Al-Khalil, M, Alkhudhayri, A, Alkhusheh, M, Allan, F, Allan, N, Allanson, A, Allcock, R, Allen, E, Allen, J, Allen, K, Allen, L, Allen, P, Allen, R, Allen, S, Allen, T, Alli, A, Allison, K, Allman, B, Allsop, HK, Allsop, L, Allsup, D, Almahroos, AFT, Al-Moasseb, H, Al-Obaidi, M, Alomari, L, Al-Rabahi, A, Al-Ramadhani, B, Al-Saadi, Z, Al-Sammarraie, R, Alshaer, I, Al-Shahi Salman, R, Al-Shamkhani, W, Alsheikh, F, Al-Sheklly, B, Altaf, S, Alty, A, Alvarez, M, Alvarez Corral, M, Alveyn, E, Alzetani, M, Amamou, S, Amar, N, Ambalavanan, S, Ambrogetti, R, Ambrose, C, Ameen, A, Amelia Ganefianty, A, Ames, K, Amezaga, MR, Amin, A, Amin, K, Amin, S, Amin, T, Amit, B, Amjad, A, Amjad, N, Amoah-Dankwa, J, Amoako-Adusei, A, Amosun, V, Amsal, M, Amsha, K, Amuasi, J, Amutio Martin, N, Amy, P, Anada, A, Anand, A, Anandappa, S, Anantapatnaikuni, SD, Andari, NKN, Anderson, E, Anderson, J, Anderson, L, Anderson, M, Anderson, N, Anderson, R, Anderson, S, Anderson, W, Andreou, P, Andrews, A, Andrews, J, Aneke, K, Ang, A, Ang, WW, Angel, T, Angela, A, Angelini, P, Anguvaa, L, Anichtchik, O, Anim-Somuah, M, Aniruddhan, K, Annett, J, Anning, L, Ansah, M, Anstey, PJ, Anstey, R, Anthony, A, Anthony-Pillai, A, Antill, P, Antonina, Z, Anu, V, Anwar, M, Anwar, S, Apetri, E, Apostolopoulos, A, Appleby, S, Appleyard, D, Aquino, MF, Araba, B, Aransiola, S, Araujo, M, Archer, A, Archer, D, Archer, S, Arcoria, D, Ardley, C, Arhin-Sam, G, Arias, A-M, Aribike, O, Arimoto, R, Arisanti, NLPE, Arkley, C, Armah, C, Armata, I, Armistead, J, Armitage, A, Armstrong, C, Armstrong, M, Armstrong, S, Armstrong, W, Armtrong, P, Arndt, H, Arnison-Newgass, C, Arnold, D, Arnold, R, Arnott, A, Arora, D, Arora, K, Arora, P, Arora, R, Arter, A, Arthur, A, Artini, NM, Arumaithurai, A, Arya, A, Arya, R, Aryal, D, Asandei, D, Asare, GA, Asghar, A, Asghar, M, Ashab, A, Ashbrook-Raby, C, Ashby, H, Ashcroft, J, Ashcroft, S, Asher, G, Ashfak, Z, Ashfaq, A, Asiamah, HA, Ashish, A, Ashley, D, Ashman-Flavell, S, Ashok, S, Ashour, A-E-A, Ashraf, MZ, Ashraf, S, Ashraq, MB, Ashton, D, Ashton, S, Ashworth, A, Ashworth, FJ, Ashworth, R, Aslam, A, Aslam, I, Aslam, S, Aslett, L, Asogan, H, Asrar, A, Assaf, O, Astin-Chamberlain, R, Atabudzi, YE, Athavale, P, Athorne, D, Atkins, B, Atkins, C, Atkins, S, Atkinson, J, Atkinson, V, Atomode, A, Atraskiewicz, B, Attia, AA, Attubato, E, Attwood, M, Aubrey, P, Auer, Z, Aujayeb, A, Aung, AT, Aung, H, Aung, HWW, Aung, KK, Aung, KT, Aung, N, Aung, Y, Aung, ZM, Austin, E, Austin, K, Auwal, A, Avari, M, Avery, M, Aveyard, N, Avis, J, Aviss, G, Avram, C, Avram, P, Awadelkareem, A, Awadzi, G, Awaly, M, Awan, A, Awisi, S, Aya, A, Ayaz, E, Ayerh, JM, Ayers, A, Azam, J, Azeem, A, Azharuddin, M, Aziz, A, Aziz, G, Aziz, I, Aziz, N, Azkoul, A, Azman Shah, A, Azzopardi, G, Azzoug, H, Babatunde, F, Babi, M, Babiker, B, Babington, G, Babirecki, M, Babores, M, Babs-Osibodu, AO, Bac, T, Bacciarelli, S, Bachar, R, Bachour, M-E, Bachti, A, Bacon, G, Bacon, J, Badal, B, Badat, A, Bader, M, Badhan, GR, Badhrinarayanan, S, Bae, JP, Baggaley, A, Baggott, A, Bagley, G, Bagmane, D, Bagshaw, L, Bahadori, K, Bahurupi, Y, Bailey, A, Bailey, J, Bailey, K, Bailey, L, Bailey, MA, Bailey, M, Bailey, P, Bailey, S, Baillie, H, Baillie, JK, Bain, J, Bains, V, Baird, D, Baird, E, Baird, K, Baird, S, Baird, T, Baird, Y, Bajandouh, A, Baker, DC, Baker, E, Baker, J, Baker, K, Baker, M, Baker, R, Baker, T-A, Baker, V, Bakere, H, Bakerly, N, Baker-Moffatt, M, Bakhai, A, Bakhtiar, N, Bakoulas, P, Bakthavatsalam, D, Balachandran, N, Balan, A, Balasingam, P, Balaskas, T, Balasubramaniam, M, Balatoni, N, Balcombe, A, Baldwin, A, Baldwin, C, Baldwin, D, Baldwin, F, Baldwin-Jones, R, Bale, N, Balfour, J, Ball, M, Ball, Ro, Ballard, K, Balluz, I, Balmforth, C, Balogh, E, Baltmr, A, Baluwala, A, Bambridge, G, Bamford, A, Bamford, P, Bamgboye, A, Bancroft, E, Bancroft, H, Banda, J, Bandaru, K, Bandi, S, Bandla, N, Bandyopadhyam, S, Banerjee, A, Banerjee, R, Bang, P, Baniya, S, Bani-Saad, O, Banks, H, Banks, L, Banks, P, Bann, C, Bannister, H, Bannister, O, Banton, L, Bao, T, Baptist, M, Baqai, T, Baral, AM, Baral, SC, Baramova, D, Barber, R, Barbon, E, Barbosa, M, Barbour, J, Barclay, A, Barclay, C, Bardsley, G, Bareford, S, Bari, S, Barimbing, M, Barker, A, Barker, D, Barker, E, 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Warmington, J, Warner, B, Warner, C, Warnock, L, Warran, S, Warren, J, Warren, L, Warren, R, Warren, Y, Warrender, D, Warren-Miell, H, Warris, A, Warwick, G, Wassall, H, Wasserman, S, Wasson, E, Watchorn, HJ, Waterfall, H, Waters, A, Waters, D, Waterstone, M, Watkin, A, Watkins, C, Watkins, E, Watkins, K, Watkins, L, Watson, A, Watson, AJR, Watson, E, Watson, F, Watson, JGR, Watson, L, Watson, P, Watson, R, Watson, K, Watters, M, Watterson, D, Wattimena, K, Watts, D, Watts, J, Watts, M, Waugh, V, Wayman, E, Wayman, M, Wazir, A, Weatherhead, M, Weatherly, N, Webb, C, Webb, H, Webb, K, Webb, S, Websdale, C, Webster, D, Webster, I, Webster, J, Webster, T, Wedlin, J, Wee, L, Weerakoon, R, Weerasinghe, T, Weeratunga, J, Weetman, M, Wei, S, Weichert, I, Welch, E, Welch, H, Welch, J, Welch, L, Welch, S, Welham, B, Weller, S, Wellings, L, Wells, B, Wellstead, S, Welsh, B, Welsh, R, Welters, I, Welton, R, Wenn, V, Wentworth, L, Wesonga, J, Wesseldine, K, West, J, West, M, West, R, West, S, Western, L, Westhead, R, Weston, H, Westwood, A, Westwood, K, Westwood, S, Wetherill, B, Wheaver, S, Wheeler, H, Whelan, B, Whelband, M, Whileman, A, Whitcher, A, White, A, White, B, White, C, White, D, White, J, White, K, White, M, White, N, White, S, White, T, Whitehead, C, Whitehorn, K, Whitehouse, A, Whitehouse, C, Whitehouse, T, Whiteley, J, Whiteley, L, Whiteley, S, Whitham, R, Whitlingum, G, Whitmore, D, Whittaker, E, Whittam, L, Whittington, A, Whittle, H, Whittle, R, Wiafe, E, Wiblin, L, Wickens, O, Widdrington, J, Wieboldt, J, Wieringa, H, Wiesender, C, Wiffen, L, Wight, A, Wignall, A, Wignall, C, Wilce, A, Wilcock, D, Wilcock, E, Wilcox, L, Wild, B, Wild, L, Wild, S, Wilde, M, Wilding, L, Wilding, P, Wildsmith, T, Wileman, J, Wiles, J, Wiles, K, Wilhelmsen, E, Wiliams, T, Wilkie, J, Wilkin, D, Wilkins, H, Wilkins, J, Wilkins, S, Wilkinson, I, Wilkinson, L, Wilkinson, N, Wilkinson, S, Wilkinson, T, Willetts, S, Williams, A, Williams, C, Williams, CV, Williams, D, Williams, E, Williams, G, Williams, H, Williams, J, Williams, K, Williams, M, Williams, P, Williams, R, Williams, S, Williams, T, Williamson, A, Williamson, C, Williamson, D, Williamson, J, Williamson, JD, Williamson, R, Williamson, H, Willis, E, Willis, H, Willis, J, Wills, L, Willsher, L, Willshire, C, Willson, F, Willson, J, Wilson, A, Wilson, B, Wilson, D, Wilson, I, Wilson, J, Wilson, K, Wilson, K-A, Wilson, L, Wilson, M, Wilson, S, Wilson, T, Win, KLY, Win, M, Win, T, Win, TT, Win, WYW, Winckworth, L, Winder, L, Winder, P, Winearl, S, Winmill, H, Winn, S, Winpenny, C, Winslow, H, Winter, H, Winter, J, Winter-Goodwin, B, Winterton, J, Winwood, H, Wischhusen, J, Wisdom, S, Wise, M, Wiselka, M, Wiseman, R, Wiseman, S, Wishart, S, WIshlade, T, Witele, E, Withers, N, Wittes, J, Wixted, D, Wodehouse, T, Wolf, W, Wolff, N, Wolffsohn, K, Wolf-Roberts, R, Wolodimeroff, E, Wolstencroft, A, Wong, A, Wong, C, Wong, C-H, Wong, C-M, Wong, E, Wong, JSY, Wong, KY, Wong, MY, Wong, N, Wong, S, Wong, T, Wongkyezeng, AA, Wood, A, Wood, C, Wood, D, Wood, F, Wood, G, Wood, H, Wood, J, Wood, L, Wood, M, Wood, S, Wood, T, Woodall, K, Woodfield, R, Woodford, C, Woodford, E, Woodford, J, Woodhead, L, Woodhead, T, Woodland, P, Woodman, M, Woodmansey, S, Woods, C, Woods, J, Woods, K, Woods, S, Woodward, Z, Woolcock, M, Wooldridge, G, Woolf, R, Woollard, C, Woollen, L, Woolley, E, Woolley, J, Woosey, D, Wootton, D, Wootton, J, Worley, D, Worton, S, Wraight, J, Wray, M, Wren, K, Wren, L, Wrey Brown, C, Wright, C, Wright, D, Wright, F, Wright, H, Wright, I, Wright, L, Wright, R, Wright, S, Wright, T, Wroe, C, Wroe, H, Wu, H, Wu, P, Wubetu, J, Wulandari, F, Wulandari, R, Wurie, S, Wyatt, C, Wyn-Griffiths, F, Wynter, I, Xavier, B, Xhikola, A, Xia, BE, Xia, Z, Yacoba, E, Yadav, S, Yakubi, M, Yan, M, Yanagisawa, Y, Yang, F, Yang, Y, Yanney, M, Yap, WL, Yaqoob, N, Yasmin, S, Yates, B, Yates, D, Yates, E, Yates, H, Yates, T, Yates, M, Ye, J, Yearwood Martin, C, Yein, K, Yelnoorkar, F, Yen, LM, Yeoh, A, Yeung, CY, Yew, P, Yewatkar, D, Ylquimiche Melly, L, Ynter, I, Yong, H, Yorke, J, Youens, J, Younes Ibrahim, A, Young, E, Young, G, Young, L, Yousafzar, A, Youssouf, S, Yousuf, A, Yovita, H, Yu, C, Yuan, JSJ, Yufaniaputri, N, Yung, B, Yusef, D, Yusef, S, Yusuf, I, Zafar, A-S, Zagalo, S, Zaher, S, Zahoor, A, Zainab, M, Zak, T, Zaki, K, Zakir, N, Zalewska, K, Zamalloa, A, Zaman, M, Zaman, S, Zamikula, J, Zammit, L, Zammit-Mangion, M, Zawadzka, M, Zayed, M, Zebracki, E, Zehnder, D, Zeidan, L, Zeinali, D, Zhang, J, Zhao, X, Zheng, D, Zhu, D, Zia, M, Zibdeh, O, Zill-E-Huma, R, Zin, ET, Zincone, E, Zindoga, G, Zinkin, E, Zinyemba, V, Zipitis, C, Zitter, L, Zmierczak, A, Zubikarai, G, Zubir, A, Zuhra, N, Zulaikha, R, Zulfikar, S, Zullo, C, and Zuriaga-Alvaro, A

Published
2023
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185. Engineering 'extracellular matrix factories' to study how the extracellular microenvironment regulates gene expression

Author

Tomlin, Hannah

Subjects
QP501 Animal biochemistry, QR180 Immunology
Abstract

The extracellular matrix (ECM) is a specialised scaffold as well as a biochemical signalling platform for cells. The ECM plays a key role in gene regulation, with components such as tenascin-C (TN-C) being implicated in post-transcriptional regulation of inflammatory genes. However, the lack of physiologically relevant, healthy human ECM models has hindered the establishment of how specific ECM components regulate gene expression. Here, a human BJ skin fibroblast-derived ECM model was therefore developed combining cell-derived matrix (CDM) technologies with CRISPR/Cas9 genome editing. Assessment of fibroblast CDMs at the protein level by immunostaining and western blotting revealed the CDM contained collagen 1, collagen 3, fibronectin and glycosaminoglycans (GAGs). Microscopy techniques demonstrated a three-dimensional, 45 µm thick CDM. In addition, a protocol to effectively remove fibroblasts and DNA was optimised to obtain a non-immunogenic decellularised ECM substrate. FACs analysis confirmed the skin fibroblast CDM supported normal differentiation of primary human monocytes into macrophages and was a suitable culture substrate. Furthermore macrophage expression of LPS-induced miRNAs, including miR-155, was more stringently regulated when cultured on CDMs compared to plastic. Next, TNC KO fibroblasts were engineered via CRISPR/Cas9 gene editing to result in a fibroblast-derived ECM model that lacked TN-C. This was confirmed at the DNA, RNA and protein level. This allowed us to establish, for the first time in humans, that ECM-associated TN-C drives macrophage miR-155 expression in response to LPS. Furthermore, we identified that TNC¬ expression is linked to normal cell architecture, and that a lack of TNC leads to actin cytoskeleton dysregulation, premature cell aging, subsequent cell cycle arrest and senescence in fibroblasts, as confirmed by light microscopy, β-galactosidase staining, F-actin staining and RNA-Seq. Candidate molecules specifically responsible for this effect have been identified but require validation. This model highlights an ECM-dependent regulatory mechanism of inflammation and could highlight novel targets for the treatment of diseases resulting from ECM alteration. Furthermore, this ECM model could be utilised as a biological tool, fully customisable and amenable to genetic modifications of other ECM proteins to allow the elucidation of how ECM components regulate gene expression and cell behaviour in health and disease, whilst also replacing the use of animals in this area of research.

Published
2021

186. Colonial matriarchs in the British slavery economy : exploring the socioeconomic landscape of mixed-heritage women in Jamaica from 1750-1850

Author

Tomlin-Kra¨ftner, Melsia

Subjects
326
Abstract

This thesis explores the lives of mixed-heritage women in Jamaica from the mid-eighteenth century to the emancipation period; the abolition of slavery in 1834 and the apprenticeship period to 1838. The study challenges the silence that pervades the lives of mixed-heritage people who lived within the window of the British colonial emancipation period and the existing perceptions of mixed-heritage women during the slavery period. Majority of historical texts are written and referenced from a colonial British, European or an American perspective, while Caribbean academics, writers and contributors to their history are devoid of similar exposure. Data derived from the slavery compensation claims focused specifically on the parishes of Saint Elizabeth and Manchester in Jamaica, where the human geography of my DNA coalesced. From the findings, it is argued that free mixed-heritage women were rational economic actors who controlled their free position within the Jamaican slave society. Their principal concern was to establish and solidify relationships, family links in clan groups and friendships that enabled upward mobility, while retaining their freedom and that of their posterity. 'The Silences Framework' (Serrant-Green 2011) was applied as an overarching theorical framework alongside supporting theories of intersectionality, entitativity and rational choice. A reflexive approach with narrative inquiry, prosopography and archival research were applied in the examination of historical primary, secondary, and genealogical sources. The analysis blended interpretive analytical methods of narrative discourse in case studies, dramatic vignettes and dramaturgical storytelling that overall developed a better understanding of the period in which free people of mixed heritage lived. Although disadvantaged through the intersections of ethnicity, colour, social class, and gender, with all associated legal and societal restrictions, this research highlights and demonstrates the vital social and economic role mixed-heritage women played in the development of Jamaican creole society. This study makes three major contributions to historical sociology knowledge: 1) provides new and evidenced knowledge of the extent to which Jamaican mixed-heritage women were property owners and enslavers prior to emancipation, 2) enhances academic historiography of enlightening arguments of the slavery period about mixed-heritage women from a Caribbean perspective rather than a colonial perspective and 3) provides a different sociological and cultural anthropological perspective of family development and kinship in a colonial Caribbean society.

Published
2021

187. The Uprising of Women in Philanthropy

Author

Bofu-Tawamba, Ndana, Bright, Ruby, Clohesy, Stephanie, Grumm, Christine, Kanyoro, Musimbi, LaKelly Hunt, Helen, Oliveira, Ana, Risimini, Laura, Sloane, Jane, and Tomlin, Jessica

Subjects
Leaders, Leadership, Feminism, Gender equality, Gender justice, Global Women's Funding Movement, Human rights, Philanthropy, Rights advocacy, Social justice, thema EDItEUR::K Economics, Finance, Business and Management::KC Economics, thema EDItEUR::K Economics, Finance, Business and Management::KJ Business and Management::KJM Management and management techniques::KJMB Management: leadership and motivation, thema EDItEUR::K Economics, Finance, Business and Management::KJ Business and Management::KJS Sales and marketing, thema EDItEUR::J Society and Social Sciences::JB Society and culture: general::JBS Social groups, communities and identities::JBSF Gender studies, gender groups, thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology::JHB Sociology::JHBL Sociology: work and labour
Abstract

The Uprising of Women in Philanthropy tells the inspiring, never-before-told, story of the Global Women’s Funding Movement—considered the women’s movement’s greatest secret—and how it enabled women from all walks of life to harness the power of money to free themselves from oppression. Brimming with feminist epiphanies, this social justice playbook is an urgent call for women’s collective leadership to guide humanity through the gravest of challenges, overcoming patriarchy’s multi-millennium reign through the uprising of women leaders and philanthropists. Founded during the second-wave women’s movement of the early 1970s, small groups of women across the world, independent of each other, had the same epiphany: it will take a movement of women to raise the money needed to fund women’s freedom. Since then, the Global Women's Funding Movement has grown into a global network of radically generous, risk-taking philanthropists who collectively wield financial might to win seismic gender equality victories. The authors document the "Women Effect" that results from gender equality and women’s collective leadership, including improved public health and reproductive justice, expanded public education, stronger democracies, resilient economies, climate recovery and enduring peace. The Global Women's Funding Movement is guided by its Feminist Funding Principles and, through them, it has innovated the most effective philanthropic practices, including trust-based philanthropy. The Uprising of Women in Philanthropy is for those interested in focusing the power of philanthropy on leveraging systemic social justice victories and gender equality gains. The long-practiced Feminist Funding Principles imparted by the authors is a recipe for the feminist alchemy needed to transform society for the betterment of all.

Published
2025
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188. Inflation raises Starkville restaurant prices

Author

Tomlin, Lizzie

Subjects
Restaurants -- Prices and rates -- Statistics, Inflation (Finance) -- Statistics -- Economic aspects, College teachers -- Statistics -- Economic aspects, Company pricing policy, News, opinion and commentary, Sports and fitness
Abstract

Byline: Lizzie Tomlin This summer, Moe's Original BBQ in downtown Starkville shut its doors, a casualty of rising costs that are forcing local restaurants to rethink how they do business. [...]

Published
2024

189. Cotton District nightlife reaches new heights with rooftop bar

Author

Tomlin, Lizzie

Subjects
News, opinion and commentary, Sports and fitness, Mississippi State University
Abstract

Byline: Lizzie Tomlin Starkville's Cotton District is welcoming a new addition to student nightlife with the construction of The Landing, a rooftop bar on University Drive, expected to open early [...]

Published
2024

190. The effect of classroom environment on literacy development

Author

Gary Rance, Richard C. Dowell, and Dani Tomlin

Subjects
Special aspects of education, LC8-6691, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
Abstract

Abstract The physical characteristics of a child’s learning environment can affect health, wellbeing and educational progress. Here we investigate the effect of classroom setting on academic progress in 7–10-year-old students comparing reading development in “open-plan” (multiple class groups located within one physical space) and “enclosed-plan” (one class group per space) environments. All learning conditions (class group, teaching personnel, etc.) were held constant throughout, while physical environment was alternated term-by-term using a portable, sound-treated dividing wall. One hundred and ninety-six students underwent academic, cognitive and auditory assessment at baseline and 146 of these were available for repeat assessment at the completion of 3 school terms, allowing within-child changes across an academic year to be calculated. Reading fluency development (change in words read-per-minute) was greater for the enclosed-classroom phases (P

Published
2023
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191. Critical care pharmacy workforce: a 2020 re-evaluation of the UK deployment and characteristics

Author

Mark Borthwick, Greg Barton, Christopher P. Ioannides, Ruth Forrest, Emma Graham-Clarke, Fraser Hanks, Christie James, David Kean, David Sapsford, Alan Timmins, Mark Tomlin, John Warburton, and Richard S. Bourne

Subjects
Pharmacy, Hospital, Intensive care, Organisation, Planning, Census, Medicine (General), R5-920, Public aspects of medicine, RA1-1270
Abstract

Abstract Introduction Critical care pharmacists improve the quality and efficiency of medication therapy whilst reducing treatment costs where they are available. UK critical care pharmacist deployment was described in 2015, highlighting a deficit in numbers, experience level, and critical care access to pharmacy services over the 7-day week. Since then, national workforce standards have been emphasised, quality indicators published, and service commissioning documents produced, reinforced by care quality assessments. Whether these initiatives have resulted in further development of the UK critical care pharmacy workforce is unknown. This evaluation provides a 2020 status update. Methods The 2015 electronic data entry tool was updated and circulated for completion by UK critical care pharmacists. The tool captured workforce data disposition as it was just prior to the COVID-19 pandemic, at critical care unit level. Main findings Data were received for 334 critical care units from 203 organisations (96% of UK critical care units). Overall, 98.2% of UK critical care units had specific clinical pharmacist time dedicated to the unit. The median weekday pharmacist input to each level 3 equivalent bed was 0.066 (0.043–0.088) whole time equivalents, a significant increase from the median position in 2015 (+ 0.021, p

Published
2023
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194. Roman Britain in 2018

Author

WILSON, PETE, CHAPMAN, EVAN M., HUNTER, FRASER, COLLINS, ROB, LYONS, ALICE, WATSON, SADIE, SALVATORE, JOHN P., PEARCE, JOHN, WORRELL, SALLY, and TOMLIN, R.S.O.

Published
2019

195. Effects of Widespread Community Use of Face Masks on Communication, Participation, and Quality of Life in Australia during the COVID-19 Pandemic

Author

Galvin, Karyn L., Tomlin, Dani, Joubert, Lynette, and Story, Lauren

Abstract

The objective was to document the influence of face mask use by other people on communication experiences, participation in activities, and quality of life. Australian adults (n = 665) completed an online survey; 90.8% resided in a state with mandatory mask use outside the home and 44.1% self-reported hearing difficulties. Mask use was reported as negatively affecting communication quality in the community (90.2%) and workplace (91.8%), and with household members (59.1%), including an increased requirement for clarification and repetition, increased difficulty communicating, and decreased understanding. Masks influenced feelings when communicating in the community (74.1%) and workplace (76.7%), and with household members (43.6%), including increased fatigue and frustration, and decreased connection to others. Masks influenced the time spent communicating in the community (68.8%) and workplace (67.9%), and with household members (42.3%), including a decrease in the number of individuals communicated with, and the time spent communicating with each individual. Masks influenced participation in activities in the community (50.9%) and workplace (59.7%), and with household members (41.3%), including reduced participation in health-related activities, shopping, and socialising. Influences on quality of life included reduced physical and mental health, including increased loneliness. Female gender and greater self-reported hearing difficulties were significantly associated with increased influence of mask use. The wide-ranging influences of face mask use have implications for physical health and mental health, including social connectedness, and for employers and the economy. As an important measure for combatting disease spread, the negative impacts of mask use must be considered during policy formulation, and appropriate mitigating measures, such as educational campaigns, enacted.

Published
2022
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196. Supporting Teachers through the Collaborative Process: An Interpretative Phenomenological Analysis Examining Teacher Perceptions on Principal Best Practices That Support Their Collaboration in Professional Learning Communities

Author

Micah J. Tomlin

Abstract

Professional Learning Communities (PLCs) have been identified nationwide and supported by many researchers as an effective way to reform schools. PLCs have proven to reduce the achievement gap and have a positive impact on student achievement and school culture. A school leader must be a strong instructional leader who creates a culture of collaboration within the school and PLC community. Due to the increasing responsibilities of school administrators, they must be effective at successful implementation of this collaborative time. The purpose of this study is to examine the perceptions and experiences of teachers in PLCs that inform instructional leaders of their needs to effectively collaborate. This study collected qualitative data using semi-structured interviews with teachers. Teachers identified that there was a need for consistent structures, processes, and training related to the implementation of PLCs as well as opportunities for shared leadership opportunities within the building. Finally, Teachers identified that administrators set the tone for effective PLC collaboration and culture within their buildings. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://www.proquest.com/en-US/products/dissertations/individuals.shtml.]

Published
2022

197. Nonlinear dynamics and control of evolving fluid interfaces

Author

Tomlin, Ruben, Papageorgiou, Demetrios, and Pavliotis, Greg

Subjects
530.15
Abstract

In the present work, we consider the nonlinear dynamics of thin liquid films controlled by either external electric fields or fluid-mass actuators located on the substrate surface. For the former, we investigate two canonical cases, in which we are able to destabilise or stabilise a liquid film interface depending on the set-up of the electric field. We construct hierarchies of reduced-order models for the two problems, which predict and provide insight into novel electrohydrodynamic phenomena, such as multidimensional electropatterning and electrostatically-induced rivulet formation, and enable us to approximate the critical electric field strength required to prevent dripping of hanging films. For our consideration of a film influenced by fluid-mass actuators, we investigate both optimal (open-loop) and feedback (closed-loop) control methodologies for the stabilisation of multidimensional interfacial states. The optimal control problem we consider is amenable to both analysis and numerical simulation. For the feedback control problem, we consider sparsely located actuators which provide localised forcing on the interface. Proportional and model-based feedback controllers are constructed, and utilised to stabilise unstable travelling waves, synchronise chaotic dynamics, and inhibit Rayleigh-Taylor instabilities.

Published
2020
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199. Atmospheric emission of nanoplastics from sewer pipe repairs

Author

Morales, Ana C., Tomlin, Jay M., West, Christopher P., Rivera-Adorno, Felipe A., Peterson, Brianna N., Sharpe, Steven A. L., Noh, Yoorae, Sendesi, Seyedeh M. T., Boor, Brandon E., Howarter, John A., Moffet, Ryan C., China, Swarup, O’Callahan, Brian T., El-Khoury, Patrick Z., Whelton, Andrew J., and Laskin, Alexander

Published
2022
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