Quaternary Depositional Environment and Tectonic Significances of the Taichung Area, Central Taiwan

[[abstract]]The research used core data to study the Quaternary depositional environment and their tectonic significance of the Taichung aera (including the coastal plain and the Taichung basin), in central Taiwan. The research materials used 11 cores drilled by Central Geological Survey, MOEA, including Hualong, Sanguang, Gaomei, Cingshuei, Wuqi, Zhonghe, Dadu, Shendong, Quanxing cores in the coastal plain, and Wurih, Dali in the Taichung basin. The sedimentary composition and structure of all the cores were logged, and used the sedimentary theorem and facies model to explain the depositional environment. After that, the sequence stratigraphy there is applied to divide and correlate the sequences, and to build the depositional history of the Taichung area. By contrast, the depositional environment in the coastal plain is controlled primarily by sediment supply of the braid rivers, global sea level, and tectonics (deposition of alluvial fan resulted from the uplift of the tableland). But the depositional environment in the Taichung basin is only braidplain. According to distribution of the Dadu river drainage pattern, all tributaries in Taichung basin converge in Wurih, and the records of the braided river deposition accumulated continuously in the Wurih core. The Dadu river processes are thought to be a combination of superposition followed by antecedence. Because the alluvial fan and braidplain facies appeared alternately in the Dadu core, it indicates that the Dadu river was antecedence here when the Dadu tableland rose, and mixed process of superposition (speed up to erosion with the Dadu tableland rising). In addition, after comparing with the flow data of Dadu river and Jhuoshuei river, we can infer that the reason why the Dadu river delta developed slowly due to the fact that the river flow is smaller and the sediment is used to fill the Taichung basin first. Using sequence stratigraphy theory to separate the sequence and correlate the 7 cores (Gaomei, Cingshuei, Wuqi, Zhonghe, Dadu, Quanxing, and Shendong), the model of depositional environment change in the coastal plain can be built up: 1. Transgressive surface – at this time, the sea level began to rise. The depositional environment is all braidplain. 2. Transgressive systems tract –at this time, the sea level continued to rise, so the coast line migrated to the east, the depositional environment changed from the estuary to shoreface and tidal flat. They were in the transgressive systems track. 3. Maximum flooding surface –at this time, the sea level rose to the highest, the coastal line migrated to the tableland. The depositional environment was mostly tidal flat, except for the east (tableland) was the offshore. 4. Highstand systems tract –the sea level began to drop down, and the coastal line migrated westward, all the depositional environment changed from offshore to the tidal flat. The highstand systems track (HST) started.

Filter Band Multicarrier Based Transmission Technology for Clinical EEG Signals

A transmission scheme is proposed based on filter band multicarrier (FBMC) transmission technology for clinical electroencephalogram (EEG) signals. The proposed scheme integrates binary phase shift keying (BPSK) and offset quadrature amplitude modulation (OQAM), an FBMC transmission mechanism, and low-density parity-check code (LDPC) error protection in an FBMC-based EEG mobile communication system. The proposed EEG mobile communication system employs high-speed transmission, with schemes providing significant error protection for mobile communication of clinical EEG signals requiring a stringent bit-error rate (BER). The performances of BERs and mean square errors (MSEs) of the proposed EEG mobile communication system were explored. Simulation results show that the proposed scheme is a superior transmission platform as compared to existing schemes for clinical EEG signals

Exploring Authentic Learning Strategies In A Mobile Cloud Computing Environment (AuLStra) Among Primary School English Language Learners’ Writing Experience

This study explores how primary school English language learners in a Chinese national-type primary school in Malaysia used Authentic Learning Strategies in a mobile cloud computing environment (AuLStra) to write in English. This thesis continues and develops within a situated learning theory framework by investigating the primary schoolchildren’s experiences of AuLStra through the lens of socio-cultural theory, and exploring how co-constructed knowledge is utilised in online collaborative writing tasks. Drawing upon case study design, this study aims to provide some insights on online collaborative writing from the participants’ perspectives. It illustrates how writing is co-authored, elucidates aspects that impact the potential of integrating AuLStra in English writing classroom, and explores how the primary school English language learners used AuLStra to overcome writing apprehension. The primary school English language learners took part in a series of English language lessons on Google Meet, during which they were video-recorded using Meet recording function, as they collaboratively performed the authentic writing tasks. Besides taking part in AuLStra Writing Class, the primary school English language learners and their English language teacher kept reflective e-journals (Teacher eJournal and My eDiary). On the other hand, through the use of interviews, five teachers from the same school identified roles of AuLStra in English writing

ProSplicer: a database of putative alternative splicing information derived from protein, mRNA and expressed sequence tag sequence data

ProSplicer is a database of putative alternative splicing information derived from the alignment of proteins, mRNA sequences and expressed sequence tags (ESTs) against human genomic DNA sequences. Proteins, mRNA and ESTs provide valuable evidence that can reveal splice variants of genes. The alternative splicing information in the database can help users investigate the alternative splicing and tissue-specific expression of genes

Robustness of Physics-Informed Neural Networks to Noise in Sensor Data

Physics-Informed Neural Networks (PINNs) have been shown to be an effective way of incorporating physics-based domain knowledge into neural network models for many important real-world systems. They have been particularly effective as a means of inferring system information based on data, even in cases where data is scarce. Most of the current work however assumes the availability of high-quality data. In this work, we further conduct a preliminary investigation of the robustness of physics-informed neural networks to the magnitude of noise in the data. Interestingly, our experiments reveal that the inclusion of physics in the neural network is sufficient to negate the impact of noise in data originating from hypothetical low quality sensors with high signal-to-noise ratios of up to 1. The resultant predictions for this test case are seen to still match the predictive value obtained for equivalent data obtained from high-quality sensors with potentially 10x less noise. This further implies the utility of physics-informed neural network modeling for making sense of data from sensor networks in the future, especially with the advent of Industry 4.0 and the increasing trend towards ubiquitous deployment of low-cost sensors which are typically noisier

A legalidade do monitoramento de e-mails pelo empregador como ferramenta de gestão

Orientador: Eros NogueiraMonografia(Especialização) - Universidade Federal do Paraná,Setor de Ciências Sociais Aplicadas, Curso de Especialização em Contabilidade e Finança