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EXAMINING THE EFFECTS OF SOCIAL MEDIA BOTS ON ONLINE DISCUSSIONS : EVIDENCE FROM AN OBSERVATIONAL AND AN EXPERIMENTAL STUDY
Get PDFThesis (Ph.D.)--Michigan State University. Communication - Doctor of Philosophy, 2025This dissertation explores the impact of bots on online public discourse, specifically focusing on human users\u2019 language and attitudes in response to online interactions. The findings from Study 1 suggest that while bots generally exhibited lower levels of politicization, polarization, and neutrality, they displayed higher levels of anger, disgust, fear, and joy. Some of these features, specifically, politicization and disgust of bots can still influence humans over time. Furthermore, Studies 2 and 3 compared the effects of LLM-generated content versus non-LLM-generated content on individuals\u2019 attitudes. The results show that LLM-generated contents can subtly influence users, as individuals often struggle to distinguish between human-like and machine-generated content on social media. As bots become more sophisticated with technological advancements, they are increasingly capable of shaping human attitudes in ways that are nearly indistinguishable from human interactions. Given the pervasive use of such technologies on social media, understanding their relational impact on humans is becoming crucial.Description based on online resource. Title from PDF t.p. (Michigan State University Fedora Repository, viewed ).Includes bibliographical references
Extending the In-Medium Similarity Renormalization Group to Nuclear Matter with Novel Insights on Unitary Coupled-Cluster Theory
Get PDFThesis (Ph.D.)--Michigan State University. Physics - Doctor of Philosophy, 2025The nuclear matter equation-of-state (NM-EOS) determines the stability and bulk properties of nuclear matter, and is thus, directly linked to astrophysical phenomena\u2014e.g., neutron star physics. Moreover, a tightly constrained NM-EOS opens an avenue to test and improve nuclear force models. The NM-EOS is therefore of great interest to the physics community. Recent advances in ab initio nuclear theory have led to an explosion of nuclear forces amenable to many-body methods that scale polynomially in time. Some of such methods include Many-Body Perturbation Theory (MBPT), and non-perturbative approaches: In-Medium Similarity Renormalization Group (IMSRG), and Coupled-Cluster (CC) theory. Unlike MBPT and CC, the IMSRG has not been applied to study NM-EOS with realistic nucleon forces. Therefore, we apply the IMSRG to calculate NM-EOS using multiple realistic forces. To accomplish this goal, we develop a state-of-the-art, high-performant nuclear matter IMSRG program with access to a multitude of two- and three-body nuclear forces. We compare NM-EOS obtained from MBPT, IMSRG, and CC to benchmark the methods. And we observe notable disparities between the methods in symmetric nuclear matter that are due to non-perturbative physics. IMSRG NM-EOS computations are done at scale, and are therefore, highly computationally demanding. Consequently, we introduce novel ideas to accelerate IMSRG computations using Unitary Coupled-Cluster (UCC)-inspired IMSRG generators, and Shanks and Pad\ue9 IMSRG extrapolators. We realize that approximate UCC solutions can be used as IMSRG generators. And, viewing UCC as a nonlinear commutator inversion problem, we realize that UCC amplitudes are given by a generalized Born series\u2014so long the series converges. Using these developments, we introduce three IMSRG generators named \u201cBorn,\u201d \u201cUCC-Born,\u201d and \u201cCarinae.\u201d Using the novel generators, we sometimes observe 2\u20134X IMSRG speedup, particularly when the IMSRG is slowly convergent.Description based on online resource. Title from PDF t.p. (Michigan State University Fedora Repository, viewed ).Includes bibliographical references
COMPREHENSIVE MULTI-OBJECTIVE OPTIMIZATION AND DECISION MAKING
Get PDFThesis (Ph.D.)--Michigan State University. Mechanical Engineering - Doctor of Philosophy, 2025The typical aim of a multi-objective evolutionary algorithm (MOEA) is to identify a set of well-converged and uniformly distributed Pareto optimal (PO) solutions. This is followed by a multi-criterion decision making (MCDM) step where the decision-maker (DM) has to select a desired solution for further consideration. A convenient and effective MCDM process can be performed when a well-distributed set of Pareto optimal (PO) solutions is provided and the DM is able to visualize, analyze and interpret the solutions. These PO solutions can be associated with unique identifiers - vectors of the same dimension as the Pareto surface. While PO solutions can form arbitrarily complex shapes based on non-domination properties, these identifiers can have simpler properties such as lying on the unit simplex or unit sphere. Since these identifiers inherently capture the properties of the PO frontier, they can be readily used during multi-objective optimization (MOO) to achieve a good distribution of solutions in the corresponding identifier spaces. While most algorithms focus on achieving a good distribution of solutions in the objective space, a good distribution of solutions in the decision-making space can be immensely helpful to the DM. We present and compare several identifier spaces with respect to their properties, and advantages and disadvantages in optimization, visualization and decision-making and propose methods to achieve a superior distribution of solutions in these identifier spaces. We also demonstrate that a combination of these identifiers can be used during optimization to achieve desired distributions for subsequent successful decision-making.The solutions achieved by an MOEA and provided to the DM must provide a comprehensive representation of the PO solutions. These solutions should span the whole PO front while being well-converged and uniformly distributed. However, this cannot be guaranteed in practical scenarios due to the stochasticity of the algorithm and the difficulties associated with the problem itself. A seemingly incomplete Pareto front (PF) is highly problematic during decision-making as the DM might desire more solutions in sparse regions of the current non-dominated (ND) front. Unexpected gaps and discontinuities in the PO front can lead to a lack of trust in the solutions obtained. In this study, we propose a convenient machine learning (ML) assisted multi-criterion decision-making framework that can alleviate some of these issues. We propose to train ML models to map from pseudo-weights to decision variables of PO solutions. These trained models can be used to create solution vectors for any new pseudo-weight vector. We demonstrate that this process can be used to cater to the typical needs of decision-makers, like quickly populating the PF, filling gaps, or extending the PF without further optimization. To deal with constrained problems, we propose an archiving strategy that can be used along with any non-dominated sorting-based MOEA. This archive provides an augmented training dataset that can be used to train ML models to predict the feasibility of newly created solutions before evaluating them, thereby avoiding wasteful evaluations of infeasible solutions. While the previously discussed ML-based MCDM methods can be quick and convenient, they still require iterative solution evaluations in order to confirm the existence of newly created solutions. These MCDM attempts might not be fruitful if the desired solutions do not actually exist. We propose integrating the ML-assisted MCDM concepts into MOEAs as operators to induce confidence in the achieved PF by demystifying the flaws in the PO front. This operator can attempt to answer MCDM concerns, try and fix inherent flaws in the ongoing optimization process, and collect information regarding flaws that could not be fixed. This auxiliary information can be provided to the decision-maker to induce trust in the achieved solutions and can eliminate the need for post-optimal analysis.Description based on online resource. Title from PDF t.p. (Michigan State University Fedora Repository, viewed ).Includes bibliographical references
High-Level Coupled-Cluster Energetics using Selected-Configuration-Interaction-Driven and Adaptive Moment Expansions
Get PDFThesis (Ph.D.)--Michigan State University. Chemistry - Doctor of Philosophy, 2025It is well established that size-extensive approaches based on the exponential wave function ansatz of coupled-cluster (CC) theory and their extensions to open-shell, multiconfigurational, and excited states are among the best ways of treating many-electron correlation effects. This is especially true in applications involving structural and spectroscopic properties of molecular systems, chemical reaction pathways, noncovalent interactions, and photochemistry. In all these and similar cases, the CC hierarchy, including CCSD, CCSDT, CCSDTQ, and so on, and its equation-of-motion (EOM) and linear-response extensions rapidly converge to the exact, full configuration interaction (CI) limit. Unfortunately, the CCSDT, CCSDTQ, and similar methods, needed to achieve a quantitative description, incur a steep increase in computational costs, rendering their application to larger many-electron systems prohibitively expensive. To address this challenge, this dissertation explores the development of computationally practical alternative approaches based on the CC(P;Q) and externally corrected CC (ec-CC) frameworks, which allow us to study challenging chemical problems, such as molecular bond breaking, biradicals, transition states, and excited states dominated by two- and other many-electron excitations, while avoiding the well-known failures of perturbative CC approximations in the presence of electronic quasi-degeneracies.The first part of this dissertation introduces two novel CC(P;Q) approaches capable of rapidly converging high-level CC/EOMCC energetics of the CCSDT/EOMCCSDT, CCSDTQ/EOMCCSDTQ, and similar types, at tiny fractions of the computational costs in an automated fashion, even in cases of stronger correlations. The first methodology combines the CC(P;Q) moment expansions with the information provided by selected CI wave functions obtained using the algorithm abbreviated as CIPSI to systematically recover the results corresponding to any desired level of CC/EOMCC theory. The second approach, called adaptive CC(P;Q), eliminates the reliance on active orbitals or external non-CC information adopted in previous formulations of CC(P;Q) by executing a sequence of CC(P;Q) calculations aimed at converging high-level CC/EOMCC energetics guided solely by the mathematical structure of the moment expansions. We demonstrate the effectiveness of both the CIPSI-driven and adaptive CC(P;Q) methodologies through a number of molecular applications aimed at recovering the full CCSDT/EOMCCSDT energetics when the noniterative triples corrections to CCSD/EOMCCSD struggle or fail. For the CIPSI-driven approach, we examine the dissociation of F2, the automerization of cyclobutadiene, and the vertical excitation spectrum of CH+. The adaptive CC(P;Q) approach is tested on the stretched F2 and F2+ molecules, the automerization of cyclobutadiene, singlet\u2013triplet gaps in organic biradicals, the degenerate Cope rearrangement of bullvalene, and the ground- and excited-state potential energy surfaces of water along the O\u2013H bond-breaking coordinate. To illustrate the computational advantages of the adaptive CC(P;Q) approach, as implemented in the open-source CCpy software package, we also discuss the CPU timings characterizing our calculations for cyclobutadiene and CnH2n+2 linear alkanes with n=1-8.In the final part of this dissertation, we implement and test a new family of ec-CC approaches designed to recover the exact, full CI, energetics. These methods leverage information about higher-order correlations provided by selected CI wave functions and adopt moment expansions, similar to those used in CC(P;Q), to account for missing higher-order correlation effects. In this new class of ec-CC approaches, termed ec-CC-II, one solves CCSD-like equations for the one- and two-body clusters in the presence of their three-body (T3) and four-body (T4) counterparts extracted from the underlying CI wave function, after discarding T3 and T4 amplitudes corresponding to CI coefficients that are zero. In this dissertation, we focus on the ec-CC-II approach using T3 and T4 clusters extracted from CIPSI calculations, along with its ec-CC-II3 extension, which corrects the ec-CC-II energetics for missing T3 correlation effects using the appropriately defined CC(P;Q)-like moment expansions. To assess the performance of the CIPSI-based ec-CC-II and ec-CC-II3 methodologies, we apply them to the challenging symmetric dissociation in water, where even high-level CC methods, such as CCSDTQ, struggle to achieve a full-CI-level description.Description based on online resource. Title from PDF t.p. (Michigan State University Fedora Repository, viewed ).Includes bibliographical references
Project Management Practices and Information Flow in the Preconstruction Stage of Mass Timber Construction Projects
Get PDFThesis (M.S.)--Michigan State University. Construction Management - Master of Science, 2025An effective and environmentally friendly substitute for traditional steel and concrete building is mass timber construction, or MTC. Despite its increasing use, the preconstruction stage of mass timber projects poses difficulties because of the coordination between different teams, the integration of digital workflows, and the complexity of procurement. This research aims to investigate project management practices during the preconstruction phase of mass timber construction projects, focusing on the flow of information, stakeholder roles, and decision-making processes. The study employs a qualitative exploratory approach, utilizing literature review, industry interviews, and case studies to identify key stakeholders, their interactions, and the efficiency of information exchange. The findings will contribute to developing an optimized information flow model that enhances coordination and project efficiency in mass timber projects. By addressing existing gaps and challenges, this research seeks to provide industry practitioners with insights into best practices for improving preconstruction management in mass timber construction.Description based on online resource. Title from PDF t.p. (Michigan State University Fedora Repository, viewed ).Includes bibliographical references
AN ELECTROCHEMICAL STRATEGY FOR DECENTRALIZED TREATMENT AND AMMONIA RECOVERY FROM HIGH-STRENGTH WASTEWATER
Get PDFThesis (M.S.)--Michigan State University. Biosystems Engineering - Master of Science, 2025Water scarcity is a growing global concern, particularly in decentralized and rural areas where novel methods of decentralized high-strength wastewater treatment must be developed. One such technology is a combined electrochemical process of electrocoagulation (EC) and electrodialysis (ED). This study analyzed the viability of this process by performing pilot-scale testing, life cycle assessment (LCA), and techno-economic assessment (TEA) on the treatment of three different high-strength blackwaters: sewage sludge, port-o-john, and latrine. The process was the most viable in the treatment of sewage-sludge blackwater achieving a COD reduction of ~96% (to 75.3 \ub1 25.8 mg/L) and a NH3-N reduction of ~97% (to 3.9 \ub1 1.3 mg/L) with a treatment cost of 39.6 /m3 treated water. The latrine blackwater had a COD and NH3-N reduction of ~88% (to 201 \ub1 40.7) and ~70% (to 78.6 \ub1 7.5) respectively with a cost of 40.4 $/m3 treated water. The decrease in NH3-N removal for the port-o-john and latrine blackwater is likely due to their high pH. This also had negative impacts on their LCA. Sewage sludge, port-o-john, and latrine blackwater had negative global warming potentials (-2.42, -2.11, and -1.59 metric tons CO2-eq/year) due to their low energy demand and compatibility with solar powered operation, however; they had high water eutrophication potentials of 5.33, 71.18, and 54.83 kg N eq/year respectively. Overall, the EC-ED process represents a low-carbon, decentralized alternative to conventional wastewater treatment, but nutrient leakage remains a concern especially for highly concentrated wastewaters. Additional studies are needed to further develop it as a circular sanitation process by improving its nutrient recovery to complement its energy and climate advantages.Description based on online resource. Title from PDF t.p. (Michigan State University Fedora Repository, viewed ).Includes bibliographical references
Perception via Radar-Camera Fusion for Autonomous Driving
Get PDFThesis (Ph.D.)--Michigan State University. Electrical Engineering - Doctor of Philosophy, 2025Reliable sensing of environments is a key bottleneck in autonomous driving. Among a variety of sensors, automotive radar stands out for its low cost, robustness to adverse weather, and ability to capture motion. Nevertheless, radar is not widely recognized in the computer vision community, facing challenges in sparse, low-dimensional, and inaccurate measurements. This work sheds a different light on the traditional view of radar on perception, exploring how radar can be used to enhance monocular perception in multiple vision tasks including depth completion, velocity estimation, and 3D object detection. Depth completion with radar-camera fusion aims to predict dense depths for image pixels given sparse radar points and images. To handle ambiguous geometric associations between raw radar pixels and image pixels, we propose radar-camera pixel depth association (RC-PDA), which maps radar pixels to nearby image pixels with the same depths. We train a model to predict RC-PDA, which is used to enhance and densify radar returns for depth completion. Full velocity estimation for radar points focuses on predicting the tangential velocity, which is absent in radar measurements. We present a closed-form solution to compute point-wise full velocity for radar returns by combining radar Doppler velocity with corresponding optical flows on images. 3D object detection aims to estimate object categories and 3D bounding boxes. We focus on using radar to improve monocular detections in position estimation. To address discrepancy between radar hits and object centers, we build a model to predict point-wise 3D object centers, which are subsequently matched with monocular estimated centers for depth fusion. To deal with the complexity of possible locations of radar points reflected by targets, we build a model to estimate radar hit distributions conditioned on object properties predicted by a monocular detector, and spatially match the distributions with actual radar hits in the neighborhood of monocular detections. This method reveals radar distributions under different conditions and achieves interpretable position estimation via radar-camera fusion. Experiments show that the proposed methods achieve state-of-the-art performance on the individual vision tasks via radar-camera fusion. We believe this work will contribute new practical solutions for perception with radar for autonomous driving.Description based on online resource. Title from PDF t.p. (Michigan State University Fedora Repository, viewed ).Includes bibliographical references
Enhancing Carbon Efficiency of Anaerobic Digestion through Formate Methanogenesis
Get PDFThesis (M.S.)--Michigan State University. Biosystems Engineering - Master of Science, 2025Anaerobic digestion is an important technology for waste treatment and renewable energy production. To pursue avenues of improvement in digester technology and foster a circular bioeconomy, this study investigated the impact of activated carbon, formic acid, and sodium bicarbonate addition on the performance, parameters, and ecology of bench-scale anaerobic reactors. The study found that the addition of formate in combination with activated carbon was able to significantly increase the production of biogas from digestate collected from the South Campus Anaerobic Digester (SCAD). Reactors treated with formic acid also showed evidence of superior formic acid utilization, with formic treated reactors having similar or lesser formic acid concentration than non-formic treated reactors. Additionally, formic acid treated reactors showed lower concentrations of volatile fatty acids (VFAs), including propionic and butyric acid, indicating enhanced reactor performance. DNA analysis revealed an increase in formate-scavenging methanogens and syntrophic bacteria. Thes analyses suggests that the formate treatment led to enhanced syntrophic interactions among the microbial consortia. Following these promising results, a life-cycle analysis (LCA) and were conducted on a hypothetical two-stage treatment system utilizing electrocatalysis to convert waste CO2 into formic acid for treatment of a secondary digester. The mass balance and LCA suggest that formate-treated AD has the potential to greatly enhance energy efficiency, carbon utilization, and environmental outcomes of the AD process.Description based on online resource. Title from PDF t.p. (Michigan State University Fedora Repository, viewed ).Includes bibliographical references
WHERE SHOULD THEY COME FROM? WHERE SHOULD THEY GO? TESTING IF NON-LOCAL SEED SOURCING STRATEGIES CAN MEET RESTORATION GOALS
Get PDFThesis (Ph.D.)--Michigan State University. Plant Biology - Doctor of Philosophy, 2025The widespread loss of natural ecosystems is driving a global biodiversity crisis. Ecosystem restoration\u2014assisting the recovery of damaged or destroyed ecosystems\u2014combats biodiversity loss by creating landscapes that better support native species. Recognizing restoration\u2019s importance, the United Nations has declared the years 2021-2030 as \u201cthe decade on restoration\u201d with plans to initiate restoration on 350 million hectares of land. However, restoration outcomes are highly variable, highlighting the need for additional research. A key challenge is establishing large, persistent native plant populations at restoration sites. Since many species are dispersal limited, they must be manually brought to the landscape, often through seed addition. Yet, where to obtain seed from (i.e. which seed sources) to best reestablish native plant populations remain unclear, as few studies have evaluated the impacts of seed sourcing decisions on native plant communities under realistic restoration conditions. To address this gap, I developed three research projects to evaluate how seed sourcing impacts plant communities in tallgrass prairies, an imperiled ecosystem that often relies on seed addition for restoration. The first project evaluated the efficacy of the most common seed sourcing technique, local seed sourcing. Most practitioners source seed from the nearest location, assuming that these populations are adapted to environmental conditions similar to those at the restoration site and are best suited to establish and persist when planted. Despite its widespread use, there is limited research testing whether local seed sources are more reliable at establishing than seeds of plants sourced from further away. To address this gap, I surveyed sites undergoing prairie restoration across Michigan, measuring plant establishment for five plant species sourced from various locations. I found that local sources established no better than plants sourced from further away. Other factors, including post-seeding management and high seeding rates, were stronger predictors of plant establishment. These results illustrate that local seed may not be the only suitable source for restoration material. Next, I wanted to investigate whether mixing multiple sources together (to increase genetic diversity) could result in greater plant establishment and plant diversity during restoration. Although genetic diversity is known to influence population-level processes such as plant establishment, our understanding of the community-level consequences of seed sourcing, especially during restoration, is limited. Moreover, it is unclear whether the effects of genetic diversity depend on site-specific factors, which could affect the success of multi-source seed mixes in different contexts. To fill this knowledge gap, I used a restoration experiment that manipulated the number of seed sources sown, along with other factors known to vary across restoration sites including the number of species in the seed mix, proximity to the edge of a site, and vertebrate consumer access. I found that using a multi-source seed mix affected plant communities only when consumers were present. Additionally, the number of species in a seed mix had a greater influence on plant communities than the number of seed sources. These results suggest that the impact of adding sources to a seed mix is likely context-dependent and less influential than other restoration decisions, such as the number of species added to a seed mix. Finally, I assessed how genetic diversity and seed source location influence plant establishment under current and anticipated future climate conditions. To do this, I established a restoration field experiment and seeded plots with three seed sourcing strategies that varied in both the number of sources and where those sources came from: (1) local (2) admixture (mixing local sources with seeds from similar climates), and (3) climate-adjusted (mixing local sources with seeds from regions expected to match future climate conditions). Some plots were subjected to experimental warming. I found that plots sown with the local source supported the greatest number and, often, abundance of sown species, compared to those sown with a non-local source. However, establishment differences disappeared in high diversity seed mixes when the local source was included. Notably, climate-adjusted mixes maintained high richness under warming, which otherwise reduced richness in local and admixture plots. These findings suggest that while local seed sourcing reliably meets establishment goals, high source diversity seed mixes offer similar establishment success and may enhance the community\u2019s resilience to future conditions. Overall, my results show that seed sourcing has context dependent impacts: while local seed sources often provide high establishment, this is not consistently the case. Moreover, increasing genetic diversity may make plant populations more resilient to changing conditions, but may also be detrimental in some environments (i.e. those with abundant vertebrate consumers). This work advances our understanding of the role the role seed sourcing has on restoration outcomes and helps practitioners make informed decisions on how best to restore their landscapes.Description based on online resource. Title from PDF t.p. (Michigan State University Fedora Repository, viewed ).Includes bibliographical references
PRECISION MEDICINE AND GRAFT-INDUCED DYSKINESIA (GID) : INVESTIGATING THE CURIOUS SIDE EFFECT OF DOPAMINE NEURON TRANSPLANTATION IN THE rs6265 BDNF (MET/MET) PARKINSONIAN BRAIN
Get PDFThesis (Ph.D.)--Michigan State University. Pharmacology and Toxicology - Doctor of Philosophy, 2025While dopamine (DA) neuron transplantation is a promising alternative therapy to the current pharmacological agents (e.g., levodopa) prescribed for individuals with Parkinson\u2019s disease (PD), significant heterogeneity in clinical outcomes exists. Specifically, the underlying mechanisms responsible for the aberrant side effect, graft-induced dyskinesia (GID), a behavior that develops in a subpopulation of individuals who received primary DA neuron transplants, remains a mystery to be solved. In regard to this heterogeneity in cell therapy, our group previously became interested in the influence of certain genetic risk factors, hypothesizing that the common human single nucleotide polymorphism (SNP), rs6265, which is found in the gene for brain-derived neurotrophic factor (BDNF) and results in decreased BDNF release, is an unrecognized contributor to response variability in cell therapy, specifically the development of GID. Indeed, we previously demonstrated that homozygous rs6265 (Met/Met) parkinsonian rats engrafted with wild-type (WT; Val/Val) DA neurons uniquely exhibited GID compared to their WT counterparts. To further expand these findings, I investigated the impact of rs6265 in both the host and donor on DA neuron transplantation for my thesis research. I additionally studied whether exogenous BDNF treatment would mitigate GID behavior in the Met/Met parkinsonian rats engrafted with WT DA neurons. In both studies, rats were rendered unilaterally parkinsonian using 6-hydroxydopamine (6-OHDA), engrafted with intrastriatal embryonic ventral mesencephalic (eVM) neurons from E14 WT or Met/Met donors, and assessed for amelioration of levodopa-induced dyskinesia (LID) (graft function) and induction of graft-induced dyskinesia (GID) (graft dysfunction). For the second experiment, exogenous BDNF was administered directly above the grafted DA neurons through a cannula connected to a subcutaneous osmotic minipump for four weeks following engraftment. From these experiments, I first determined that (1) the homozygous rs6265 Met/Met genotype, whether present in the host or donor, elicits superior graft-derived functional benefit compared to WT parkinsonian hosts, and (2) Met/Met parkinsonian rats engrafted with WT DA neurons curiously remain the only host/donor combination to exhibit significant GID behavior. Moreover, I discovered that (3) exogenous BDNF administration is not a feasible treatment for GID as BDNF exacerbated GID in Met/Met parkinsonian rats engrafted with WT DA neurons, and (4) evidence suggests that dysregulated DA/glutamate co-release and/or excess DA release is associated with GID induction, a phenomenon that corresponds with clinical trials where individuals with GID benefited from buspirone (a DA antagonist) administration. Because several clinical grafting trials for PD are now planned or ongoing, uncovering the underlying mechanisms responsible for GID will be necessary to optimize cell transplantation as a safe alternative therapeutic in PD. Collectively, the knowledge gained from my research offers guidance moving forward for the development of promising precision-medicine-based therapies that effectively treat the majority, not only a subset, of patients with PD.Description based on online resource. Title from PDF t.p. (Michigan State University Fedora Repository, viewed ).Includes bibliographical references