京都大学 / 新制・論文博士 / 博士(社会健康医学) / 乙第13455号 / 論社医博第17号 / 新制||社医||11(附属図書館) / 京都大学大学院医学研究科社会健康医学系専攻 / (主査)教授 長尾 美紀, 教授 近藤 尚己, 教授 中川 一路 / 学位規則第4条第2項該当 / Doctor of Public Health / Kyoto University / DFAM

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Monitoring the accuracy of memory is an automatic but essential process of memory encoding and retrieval. Retrospective memory confidence judgments are making effective and efficient decisions based on one's memories. The neural processes involved in retrospective confidence ratings were investigated with EEG and fMRI using a recognition memory task designed such that participants also rated their confidence in their memory response. Correct trials (hits and correct rejections) were examined for differences related to the participants' level of confidence in their response. There were significant differences in electrophysiological activity (in the FN400 and the late parietal component) associated with confidence rating, with mean deflection increasing as confidence decreased. fMRI analysis revealed activity that appeared to be specific to the process of confidence rating. Activity was found to increase in the medial frontal, lateral frontal, and lateral parietal cortices as confidence decreases, but only for hits. In the lateral frontal, lateral parietal, and medial parietal cortices, activity decreased as confidence increased. These data indicate that there are neural mechanisms specifically related to making retrospective memory confidence judgments.

Learning and memory in the brain are thought to be dependent on synaptic plasticity. In response to sensory input, synapses can be strengthened or weakened, known as long-term potentiation or long-term depression (LTD), respectively. Transient receptor potential vanilloid 1 (TRPV1) has been shown to mediate a novel form of presynaptic LTD in hippocampal interneurons. TRPV1 is currently being heavily studied in the PNS and being targeted by pharmaceuticals for its anti-nociceptive and anti-inflammatory properties. However, much less is known regarding TRPV1 function in the CNS, including the signal mechanism mediating hippocampal LTD despite its obvious importance. Here we performed whole-cell voltage clamp electrophysiology experiments from CA1 hippocampal interneurons to identify this signaling mechanism. Because calcineurin (CaN) is reported to be linked to multiple forms of synaptic plasticity, we hypothesized that TRPV1 activates presynaptic CaN, which is required for this presynaptic LTD. In order to distinguish between presynaptic and postsynaptic CaN activity we added the specific CaN inhibitors cyclosporin A (CsA) or FK-506 to the bath to block CaN activity ubiquitously in the slice, both presynaptically and postsynaptically, and to the internal solution to block CaN only in the postsynaptic neuron. CsA or FK-506 present in the internal solution, blocking only postsynaptic CaN, showed no effect on TRPV1-dependant LTD. Bath application of CsA or FK-506, inhibiting CaN in the presynaptic neuron as well, blocked LTD elicited by both a high frequency stimulation protocol (P < 0.05) and by direct TRPV1 activation with specific agonists resiniferotoxin and capsaicin (P < 0.05). This demonstrates that CsA and FK506 block both high frequency stimulation induced LTD and also TRPV1 specific depression. We are thus able to show that calcineurin is required for this form of presynaptic TRPV1 mediated LTD in the hippocampus. This finding is the first to demonstrate a TRPV1-induced signaling mechanism in CA1 hippocampus.

Visual object tracking is the task of giving a unique ID to an object in a video frame, understanding whether it is present or not in a current frame and if it is present, precisely localizing its position. There are numerous challenges in object tracking, such as change of illumination, partial or full occlusion, change of target appearance, blurring caused by camera movement, presence of similar objects to the target, changes in video image quality through time, etc. Due to these challenges, traditional computer vision techniques cannot perform high-quality tracking, especially for long-term tracking. Almost all the state-of-the-art methods in object tracking use artificial intelligence nowadays, and more specifically, Convolutional Neural Networks. In this work, we present a Siamese based tracker which is different from previous works in two ways. Firstly, most of the Siamese based trackers takes the target in the first frame as the ground truth. Despite the success of such methods in previous years, it does not guarantee robust tracking as it cannot handle many of the challenges causing change in target appearance, such as blurring caused by camera movement, occlusion, pose variation, etc. In this work, while keeping the first frame as a template, we add five other additional templates that are dynamically updated and replaced considering target classification score in different frames. Diversity, similarity and recency are criteria to choose the members of the bag. We call it as a bag of dynamic templates. Secondly, many Siamese based trackers are vulnerable to mistakenly tracking another similar looking object instead of the intended target. Many researchers proposed computationally expensive approaches, such as tracking all the distractors and the given target and discriminate them in every frame. In this work, we propose an approach to handle this issue by estimate the next frame position by using the target's bounding box coordinates in previous frames. We use temporal network with past history of several previous frames, measure classification scores of candidates considering templates in the bag of dynamic templates and use tracker sequential confidence value which shows how confident the tracker has been in previous frames. We call it as robustifier that prevents the tracker from continuously switching between the target and possible distractors with this hypothesis in mind. Extensive experiments on OTB 50, OTB 100 and UAV20L datasets demonstrate the superiority of our work over the state-of-the-art methods.

Healthcare managers face an incredible challenge today; understanding and implementing financially and economically sound decisions in the complex healthcare environment of the United States. The pressure to be profitable managers is greater than ever. Considering current research, past studies, and articles focused on the demands of healthcare managers will illuminate the state of health care administration, and the importance of real world application of accounting and economics in healthcare. This thesis will explore and examine research about industry standards, and the need for preparedness in healthcare finance management. It will also examine the important and complex role of accounting and economics in healthcare administration by answering the three following questions: What do administrators, according to studies and literature available, believe is essential to becoming and remaining effective managers? What financial and economic concepts are understood and implemented by healthcare managers? What changes, if any, are necessary to adequately train and educate future healthcare administrators for successful financial management? The answers to these questions will highlight the impact of the economic, political, and social changes on administrators, as well as the best ways to succeed despite the difficulties often faced by those in this field.

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