Constitutionality and legality of telecoms forced access mechanisms : a comparative study of the EU and Taiwan

Telecoms industry is a highly specialised industry and there is a general consensus that it requires a specially designed regulatory system. Besides the many technology-oriented regulations, this regulatory system not only integrates many economic theories and concepts taken from competition law, but also features several measures designed ad hoc to deal with the character of the industry, such as a natural monopoly, bottlenecks and a public service. A major category of these regulatory measures is forced access mechanisms. "Forced access" in this thesis refers to the forcing open of certain property – mostly telecoms networks and relevant facilities – to be accessed by others, especially other competitors in the market. While these mechanisms do indeed promote competition in the telecoms market and benefit the public, they also limit the fundamental rights of telecoms companies – mostly incumbents – as legal persons, especially concerning their property rights and freedom to conduct a business, and it does not need emphasising further that the protection of fundamental rights is a general principle in the European Union and a constitutional value in modern democratic states. This thesis aims to take three distinct telecoms forced access mechanisms (interconnection, local loop unbundling and separation), with different regulatory intensities, as examples to discuss the possible fundamental rights derogation issues of two targeted jurisdictions – the European Union and Taiwan. There are some substantial reasons for this comparative study. On the one hand, many of the regulatory concepts of the telecoms regulatory framework in the European Union, together with those in the United States, have been adopted by Taiwan; on the other hand, the protection of fundamental rights in the European Union is inspired by the constitutional traditions common to Member States, and the German Basic Law (Grundgesetz) plays an important role, while the Taiwanese Constitution and the constitutionality reviews system derive from Germany (continental law) and the United States (common law). The reasoning of Taiwanese constitutional review does not therefore just reflect the fundamental rights protection system but also introduces the constitutionality review system of the United States as a reference. This thesis starts with an introduction to telecoms forced access mechanisms in the European Union and Taiwan, with a special focus on three selected forced access mechanisms. Then, fundamental rights protection system under the two jurisdictions will be discussed, followed by an in-depth discussion of the concepts of property rights and freedom to conduct a business. This thesis goes on to analyse how to appraise the three telecoms forced access mechanisms in relation to the fundamental rights protection system and to discuss the reasonableness of such an analysis. The final part of the thesis will, by reviewing the legal frameworks of the two jurisdictions, offer answers to the questions raised in the analysis

Estimating Classification Accuracy for Unlabeled Datasets Based on Block Scaling

This paper proposes an approach called block scaling quality (BSQ) for estimating the prediction accuracy of a deep network model. The basic operation perturbs the input spectrogram by multiplying all values within a block by , where  is equal to 0 in the experiments. The ratio of perturbed spectrograms that have different prediction labels than the original spectrogram to the total number of perturbed spectrograms indicates how much of the spectrogram is crucial for the prediction. Thus, this ratio is inversely correlated with the accuracy of the dataset. The BSQ approach demonstrates satisfactory estimation accuracy in experiments when compared with various other approaches. When using only the Jamendo and FMA datasets, the estimation accuracy experiences an average error of 4.9% and 1.8%, respectively. Moreover, the BSQ approach holds advantages over some of the comparison counterparts. Overall, it presents a promising approach for estimating the accuracy of a deep network model

Camptothecin-Loaded Liposomes with α-Melanocyte-Stimulating Hormone Enhance Cytotoxicity Toward and Cellular Uptake by Melanomas: An Application of Nanomedicine on Natural Product

ABSTRACTIn this study, we attempted to develop functional liposomes loaded with camptothecin and attached to α-melanocyte-stimulating hormone (α-MSH) to target melanoma cells. The liposomes were mainly composed of phosphatidylcholine, cholesterol, and stearylamine, and were characterized by the vesicle size, zeta potential, camptothecin encapsulation efficiency, and release behavior. Results revealed that α-MSH liposomes possessed an average size of approximately 250nm with a surface charge of 60mV. Camptothecin was successfully entrapped by the targeted liposomes with an encapsulation percentage of nearly 95%. The liposomes provided sustained and controlled camptothecin release. Non-targeted liposomes with the drug exerted superior cytotoxicity against melanomas compared to the free control. Cell viability was reduced from 48% to 32% compared to conventional liposomes. Peptide ligand conjugation further promoted cytotoxicity to 18% viability, which was a 2.7-fold decrease versus the free control. According to the images of fluorescence microscopy, α-MSH liposomes exhibited greater cell endocytosis than did non-targeted liposomes and the free control. α-MSH liposomes were predominantly internalized in the cytoplasm. These findings demonstrate that α-MSH liposomes could enhance the anti-melanoma activity of camptothecin owing to their targeting ability and controlled drug delivery

A Mixed-methods Study of Governance Mechanisms and Outsourcing Information System Services on Goal Performance

Background: Information systems outsourcing (ISO) is one of the critical businesses in information technology outsourcing (ITO). Due to the increasing complexity of ISO, the failure rate of such outsourcing increases. Outsourcing information system services (OISS) was thus proposed to deal with this. A conceptual framework based on the information processing view was developed to investigate how the client firms assess OISS goal performance. Governance mechanisms (governance structure, relational governance, and IT coordination) were treated as antecedents of transaction cost and outsourcing flexibility; these would further affect goal performance (goal achievement and goal exceedance) with task complexity as a moderator. Method: A mix-methods study was conducted; the qualitative approach was employed to validate the conceptual framework by interviewing three managers with experiences in OISS from the client firms, whereas the quantitative approach, with 206 responses from those with OISS experiences from the client firms, provides empirical evidence. Results: The results indicated that relational governance effectively reduced transaction cost and increased outsourcing flexibility; the governance structure was also vital for outsourcing flexibility. Transaction cost was found to negatively affect goal achievement, and outsourcing flexibility positively affected both goal achievement and goal exceedance. The moderating effects of task complexity were also confirmed. Conclusion: The results extended the information processing view to OISS and proved that transaction cost and outsourcing flexibility are necessary to link governance mechanisms and goal performance. Practically, the client firms are suggested to maintain a positive relationship with the OISS provider. The OISS provider should offer an exclusive channel during and after the execution of the OISS project to reduce the possible cost that occurs during the implementation and improve the outsourcing flexibility to allow the client firms to consider their goals have been achieved and beyond their expectations. By doing so, the effect of goal performance can be maximized

Scale-aware Black-and-White Abstraction of 3D Shapes

Flat design is a modern style of graphics design that minimizes the number of design attributes required to convey 3D shapes. This approach suits design contexts requiring simplicity and efficiency, such as mobile computing devices. This 'less-is-more' design inspiration has posed significant challenges in practice since it selects from a restricted range of design elements (e.g., color and resolution) to represent complex shapes. In this work, we investigate a means of computationally generating a specialized 2D flat representation - image formed by black-and-white patches - from 3D shapes.We present a novel framework that automatically abstracts 3D man-made shapes into 2D binary images at multiple scales. Based on a set of identified design principles related to the inference of geometry and structure, our framework jointly analyzes the input 3D shape and its counterpart 2D representation, followed by executing a carefully devised layout optimization algorithm. The robustness and effectiveness of our method are demonstrated by testing it on a wide variety of man-made shapes and comparing the results with baseline methods via a pilot user study. We further present two practical applications that are likely to benefit from our work.</p

Estimating Classification Accuracy for Unlabeled Datasets Based on Block Scaling

This paper proposes an approach called block scaling quality (BSQ) for estimating the prediction accuracy of a deep network model. The basic operation perturbs the input spectrogram by multiplying all values within a block by , where  is equal to 0 in the experiments. The ratio of perturbed spectrograms that have different prediction labels than the original spectrogram to the total number of perturbed spectrograms indicates how much of the spectrogram is crucial for the prediction. Thus, this ratio is inversely correlated with the accuracy of the dataset. The BSQ approach demonstrates satisfactory estimation accuracy in experiments when compared with various other approaches. When using only the Jamendo and FMA datasets, the estimation accuracy experiences an average error of 4.9% and 1.8%, respectively. Moreover, the BSQ approach holds advantages over some of the comparison counterparts. Overall, it presents a promising approach for estimating the accuracy of a deep network model

Guaranteed Cost Control Design of 4D Lorenz-Stenflo Chaotic System via T-S Fuzzy Approach

This paper investigates the guaranteed cost control of chaos problem in 4D Lorenz-Stenflo (LS) system via Takagi-Sugeno (T-S) fuzzy method approach. Based on Lyapunov stability theory and linear matrix inequality (LMI) technique, a state feedback controller is proposed to stabilize the 4D Lorenz-Stenflo chaotic system. An illustrative example is provided to verify the validity of the results developed in this paper

Depinning of domain walls in permalloy nanowires with asymmetric notches

E ective control of the domain wall (DW) motion along the magnetic nanowires is of great importance for fundamental research and potential application in spintronic devices. In this work, a series of permalloy nanowires with an asymmetric notch in the middle were fabricated with only varying the width (d) of the right arm from 200 nm to 1000 nm. The detailed pinning and depinning processes of DWs in these nanowires have been studied by using focused magneto-optic Kerr e ect (FMOKE) magnetometer, magnetic force microscopy (MFM) and micromagnetic simulation. The experimental results unambiguously exhibit the presence of a DW pinned at the notch in a typical sample with d equal to 500 nm. At a certain range of 200 nm < d < 500 nm, both the experimental and simulated results show that the DW can maintain or change its chirality randomly during passing through the notch, resulting in two DW depinning elds. Those two depinning elds have opposite d dependences, which may be originated from di erent potential well/barrier generated by the asymmetric notch with varying d

Pixel2Brick:constructing brick sculptures from Pixel Art

LEGO®, a popular brick-based toy construction system, provides an affordable and convenient way of fabricating geometric shapes. However, building arbitrary shapes using LEGO bricks with restrictive colors and sizes is not trivial. It requires careful design process to produce appealing, stable and constructable brick sculptures. In this work, we investigate the novel problem of constructing brick sculptures from pixel art images. In contrast to previous efforts that focus on 3D models, pixel art contains rich visual contents for generating engaging LEGO designs. On the other hand, the characteristics of pixel art and corresponding brick sculpture pose new challenges to the design process. We present Pixel2Brick, a novel computational framework to automatically construct brick sculptures from pixel art. This is based on implementing a set of design guidelines concerning the visual quality as well as the structural stability of built sculptures. We demonstrate the effectiveness of our framework with various brick sculptures (both real and virtual) generated from a variety of pixel art images. Experimental results show that our framework is efficient and gains significant improvements over state-of-the-arts