Indigenous Rights Movements, Land Conflicts, and Cultural Politics in Taiwan: A Case Study of Li-Shan.

Land rights claims remain the major focus of world indigenous movements. Lands relate to the formation of indigenous identity, religious practices, and the material base for indigenous cultural survival. From a spatial/geographical perspective, this dissertation explores the influences of Taiwan\u27s state policies on indigenous peoples, their cultures, identities, and human-land relationship. The Li-shan area, in central Taiwan, is the focus of the research due to the fact that the most severe land disputes are in this area, as well as longest history of economic interactions among indigenous peoples, the dominant Han people, and the State, in the postwar Taiwan. The rise of indigenous movements in the mid-1980s in Taiwan indicated that the indigenous peoples remain the victims of colonialism. Appreciating this fact, the movements made demands against the State in struggling for ethnic space. Although the movements drew significant concessions from the State, the majority Han people systematically fought back with appeals which deny the existence of any indigenous peoples in current Taiwan and requested the abolishment of Aboriginal Reservation Lands. Political economy, new cultural geography, and post-colonial theories provide the major theoretical framework for this study. The perpetual uneven ethnic power relationships between the dominant Han people and the dominated indigenous peoples are examined from the critical perspective of political economy. The new cultural geography offers the theoretical backgrounds for discussing cultural and identity politics, and multiculturalism. Post-colonial theories are especially helpful in explaining the social construction of a new indigenous/Taiwanese culture through the combination of the colonizing and the colonized cultures, as well as in deconstructing mainstream social values, and in illustrating the geography of resistance. Finally, I wish to summarize the impacts of indigenous movements on three aspects of mainstream culture. First, indigenous movements shatter the mainstream definition of social justice and question the superficial multiculturalism. Second, the indigenous claim of natural sovereignty challenges the ideological myth enshrined by modern nation-states. Third, indigenous ecological wisdom injects a new and different ethic between society and nature. The formation of respect of the indigenous situated knowledge through an appropriate application in eco-tourism will uphold the improvement of ethnic relations

VocabAnalyzer: A Referred Word List Analyzing Tool with Keyword, Concordancing and N-gram Functions

PACLIC 23 / City University of Hong Kong / 3-5 December 200

Molecular characterization of the PhoPQ-PmrD-PmrAB mediated pathway regulating polymyxin B resistance in Klebsiella pneumoniae CG43

<p>Abstract</p> <p>Background</p> <p>The cationic peptide antibiotic polymyxin has recently been reevaluated in the treatment of severe infections caused by gram negative bacteria.</p> <p>Methods</p> <p>In this study, the genetic determinants for capsular polysaccharide level and lipopolysaccharide modification involved in polymyxin B resistance of the opportunistic pathogen <it>Klebsiella pneumoniae </it>were characterized. The expressional control of the genes responsible for the resistance was assessed by a LacZ reporter system. The PmrD connector-mediated regulation for the expression of <it>pmr </it>genes involved in polymyxin B resistance was also demonstrated by DNA EMSA, two-hybrid analysis and <it>in vitro </it>phosphor-transfer assay.</p> <p>Results</p> <p>Deletion of the <it>rcsB</it>, which encoded an activator for the production of capsular polysaccharide, had a minor effect on <it>K. pneumoniae </it>resistance to polymyxin B. On the other hand, deletion of <it>ugd </it>or <it>pmrF </it>gene resulted in a drastic reduction of the resistance. The polymyxin B resistance was shown to be regulated by the two-component response regulators PhoP and PmrA at low magnesium and high iron, respectively. Similar to the control identified in <it>Salmonella</it>, expression of <it>pmrD </it>in <it>K. pneumoniae </it>was dependent on PhoP, the activated PmrD would then bind to PmrA to prolong the phosphorylation state of the PmrA, and eventually turn on the expression of <it>pmr </it>for the resistance to polymyxin B.</p> <p>Conclusions</p> <p>The study reports a role of the capsular polysaccharide level and the <it>pmr </it>genes for <it>K. pneumoniae </it>resistance to polymyxin B. The PmrD connector-mediated pathway in governing the regulation of <it>pmr </it>expression was demonstrated. In comparison to the <it>pmr </it>regulation in <it>Salmonella</it>, PhoP in <it>K. pneumoniae </it>plays a major regulatory role in polymyxin B resistance.</p

Minimally invasive strategy for gynecologic cancer with solitary periacetabular metastasis

SummaryTumor with bone metastases to the periacetabulum is rare, and its surgical management is challenging. Instead of wide excision with reconstruction of the hip joint, we used a relatively noninvasive method to manage periacetabular metastasis. Such a procedure for this condition has the benefits of short surgical time, less bleeding, and fewer complications during surgery. Our surgical management of the case reported here included curettage, phenol cauterization and filling of cisplatin-loaded cement in order to reduce local recurrence. After following-up for 2 years, there was no local recurrence and disease progression

Cascaded Local Implicit Transformer for Arbitrary-Scale Super-Resolution

Implicit neural representation has recently shown a promising ability in representing images with arbitrary resolutions. In this paper, we present a Local Implicit Transformer (LIT), which integrates the attention mechanism and frequency encoding technique into a local implicit image function. We design a cross-scale local attention block to effectively aggregate local features. To further improve representative power, we propose a Cascaded LIT (CLIT) that exploits multi-scale features, along with a cumulative training strategy that gradually increases the upsampling scales during training. We have conducted extensive experiments to validate the effectiveness of these components and analyze various training strategies. The qualitative and quantitative results demonstrate that LIT and CLIT achieve favorable results and outperform the prior works in arbitrary super-resolution tasks

Optimal Color Stability for White Organic Light-Emitting Diode (WOLED) by Using Multiple-Ultra-Thin Layers (MUTL)

The work demonstrates the improvement of color stability for white organic light-emitting diode (WOLED). The devices were prepared by vacuum deposition on ITO-glass substrates. These guest materials of 5,6,11,12-tetraphenylnaphthacene (Rubrene) were deposited in 4,4′-bis(2,2-diphenyl vinyl)-1,1′-biphenyl (DPVBi), resulting in an emitting layer. Experimental results reveal that the properties in the multiple-ultra-thin layer (MUTL) are better than those of the emitting layer with a single guest material, reaching the commercial white-light wavelength requirement of 400–700 nm. The function of the MUTL is as the light-emitting and trapping layer. The results show that the MUTL has excellent carrier capture effect, leading to high color stability of the device at various applied voltages. The Commissions Internationale De L’Eclairage (CIE) coordinate of this device at 3~7 V is few displacement and shows a very slight variation of (0.016, 0.009). The CIE coordinates at a maximal luminance of 9980 cd/m2 are (0.34, 0.33)

Subcutaneous nerve activity is more accurate than heart rate variability in estimating cardiac sympathetic tone in ambulatory dogs with myocardial infarction

BACKGROUND: We recently reported that subcutaneous nerve activity (SCNA) can be used to estimate sympathetic tone. OBJECTIVE: The purpose of this study was to test the hypothesis that left thoracic SCNA is more accurate than heart rate variability (HRV) in estimating cardiac sympathetic tone in ambulatory dogs with myocardial infarction (MI). METHODS: We used an implanted radiotransmitter to study left stellate ganglion nerve activity (SGNA), vagal nerve activity (VNA), and thoracic SCNA in 9 dogs at baseline and up to 8 weeks after MI. HRV was determined based on time-domain, frequency-domain, and nonlinear analyses. RESULTS: The correlation coefficients between integrated SGNA and SCNA averaged 0.74 (95% confidence interval [CI] 0.41-1.06) at baseline and 0.82 (95% CI, 0.63-1.01) after MI (P <.05 for both). The absolute values of the correlation coefficients were significantly larger than that between SGNA and HRV analysis based on time-domain, frequency-domain, and nonlinear analyses, respectively, at baseline (P <.05 for all) and after MI (P <.05 for all). There was a clear increment of SGNA and SCNA at 2, 4, 6, and 8 weeks after MI, whereas HRV parameters showed no significant changes. Significant circadian variations were noted in SCNA, SGNA, and all HRV parameters at baseline and after MI, respectively. Atrial tachycardia (AT) episodes were invariably preceded by SCNA and SGNA, which were progressively increased from 120th, 90th, 60th, to 30th seconds before AT onset. No such changes of HRV parameters were observed before AT onset. CONCLUSION: SCNA is more accurate than HRV in estimating cardiac sympathetic tone in ambulatory dogs with MI

MuRAL: Multi-Scale Region-based Active Learning for Object Detection

Obtaining large-scale labeled object detection dataset can be costly and time-consuming, as it involves annotating images with bounding boxes and class labels. Thus, some specialized active learning methods have been proposed to reduce the cost by selecting either coarse-grained samples or fine-grained instances from unlabeled data for labeling. However, the former approaches suffer from redundant labeling, while the latter methods generally lead to training instability and sampling bias. To address these challenges, we propose a novel approach called Multi-scale Region-based Active Learning (MuRAL) for object detection. MuRAL identifies informative regions of various scales to reduce annotation costs for well-learned objects and improve training performance. The informative region score is designed to consider both the predicted confidence of instances and the distribution of each object category, enabling our method to focus more on difficult-to-detect classes. Moreover, MuRAL employs a scale-aware selection strategy that ensures diverse regions are selected from different scales for labeling and downstream finetuning, which enhances training stability. Our proposed method surpasses all existing coarse-grained and fine-grained baselines on Cityscapes and MS COCO datasets, and demonstrates significant improvement in difficult category performance