Miracle-dz/UniFAR-FTUs huggingface dataset:
An Aid in Determining the Territorial Sea Baseline using Satellite-Derived Bathymetry

In Malaysia, the marine jurisdiction and administrative power over its marine environment is split between the federal government and local coastal states’ government. According to Territorial Sea Act 2012 [Act 750], three nautical miles from the low-water line of the ordinary spring tides falls under the coastal states’ government. Whilst, the federal government has the jurisdiction and management responsibility beyond the three nautical miles limits up to the outer edge of the Exclusive Economic Zone and continental shelf. Malaysia has initiated the marine cadastre system to register the rights, interests and ownership of spatially determined parcels in the context of the marine environment Yet, there is no proper guideline and marine policy been made as there are many issues regarding intrinsic technical and legal aspects need to be resolved. As a governmental agency who is responsible in the nation’s boundary limits survey and maps publication, Department of Survey and Mapping Malaysia has commenced a detailed national territorial sea baseline survey using vessel-based acoustic method in 1998. Thus, a total of 159 base points for baseline determination has been filed and eventually enacted under the Baseline of Maritime Zones Act 2006 [Act 660]. Nonetheless, the baseline position at a particular time may never be the same and thus very soon become obsolete. In regard to this issue, it is essential to understand the issue of shifting marine baselines which occur either gradually or in sudden due to human activities or natural morphology alteration. The presence of satellite-derived bathymetry has brought in new revolution in hydrography. With proper calibration and bathymetry inversion model, accurate depths can be yielded from high-resolution multispectral imagery. Therefore, satellite-derived bathymetry approach here can be an efficient and repeatable way to derive the seabed topography along huge segments of coastline. The study suggests that satellite-derived bathymetry approach can be recognised as an aid in determining the baseline to support marine cadastre initiative.
Cassettes of the Streptoalloteichus hindustanus ble gene for transformation of lower and higher eukaryotes to phleomycin resistance

Phleomycins are glycopeptide antibiotics related to bleomycins nucleotide sequence of the Sh ble gene and its polylinker and tallysomycins which are active at low concentrations on both fragments. prokaryotic and eukaryotic cells (1). We have cloned a phleomycin-resistance gene (Sh ble) from the genomic DNA of REFERENCES Streptoalloteichus hindustanus (ATCC 31158), a tallysomycin 1 Berdy,J. (1980) Handbook of.Antibiotic Compounds. Vol.4, pp. 459-491, producer. The Sh ble gene encodes a small acidic protein (MW CRC Press, Boca Raton, FL, USA 13665) which has been crystallised for X-ray structural studies 2. Rondeau,J.M. , Cagnon,C. , Moras,D. and Masson,J.M. (1989) J. MoI. Biol. (2). The Sh protein is a binding protein with a strong affinity 207, 645-646. for the phleomycin family of antibiotics (3). When these 3. Gatignol,A. , Durand,H. and Tiraby,G. (1988) FEBS Lent. 230, 171-175. antibiotics are bound by the Sh protein, then phleomycins can 4. Glumoff,V. , Kappeli,O. , Fiechter,A. and Reiser,J. (1989) Gene 84, nolonger areactivated by tneffous ions and oxyen teobreakdcan 311-318. no longer be activated by ferrous ions and oxygen to break down 5. Mattern,J.E. and Punt,P.J. (1988) Fungal Genet. Newslett. 35, 25. DNA (3). The Sh ble gene has been used in a number of 6. Perez,P., Tiraby,G. , Kallerhoff,J. and Perret,J. (1989) Plant Mol. Biol. 13, laboratories as a selectable marker for lower (4, 5) and higher 365-373. eukaryotes (6, 7, 8). In order to facilitate vector construction 7. Mulsant,P., Gatignol,A. , Dalens,M. and Tiraby,G. (1988) Somat. Cell. Mol. exeukryoetes(, 8). theinordgoers wto fac tipltevctoricositruction Genet. 14, 243-252. periment , synthetic oligom with multiple cloning sites have 8. Cosset,F.L. , Legras,C. , Chebloune,Y. , Savater,P., Thoraval,P., been added at both ends of the Sh ble gene to give the two pUC Thomas,J.L. , Samarut,J., Nigon,U.M. and Verdier,G. (1990) J. Virol. 64, based derivatives, pUT56 and pUT58. We report here the 1070-1078.
Representing uncertain knowledge - an artificial intelligence approach

Preface. 1. The Nature of Uncertainty. 2. Bayesian Probability. 3. The Certainty Factor Model. 4. Epistemic Probability: the Dempster-Shafer Theory of Evidence. 5. Reasoning with Imprecise and Vague Data. 6. Non-Monotonic Logic. 7. Argumentation. 8. Overview. References. Subject Index. Author Index.
The propagation of shocks through the corona and IP mediumis of considerable interest. Shocks play an important role in the energetics of the solar corona and in particle acceleration, both at the sun and in the IP

The type II radio burst has long been identified as being generated by a shock propagating through the solar corona. Only recently has it been possible to observe radio emission from shocks travelling through the interplanetary (IP) medium. Using the drift rates of IP type II bursts the velocity characteristics of eleven shocks have been investigated. The analysis indicates that shocks in the IP mediumundergo acceleration before decelerating. The slower shocks take longer to attain their maximumvelocity. Inconsistencies arise when the analysis is extended to the higher frequency (>500 kHz) data. Introduction At the time of the first description of the type II phenomenon(Wild and McCready, 1950) it was realized that the responsible disturbances propagated at speeds greater than 500 km/sec (Wild, 1950). Such speeds are well in excess of the speed of sound in the corona. The coincidence between the detection of a sudden com_mencement geomagnetic storm, initiated by a shock, and the observation of a type II burst at the sun a few days beforehand (Roberts, 1959) led to the acceptance of the theory that type II bursts are generated by shocks. The presence of two emission bands separated in frequency by about a factor of two indicated that fundamental and first harmonic electron plasma emission was being observed. Assuming a coronal density model the rate at which the burst drifted through the frequency range was then related to the shock's velocity. With the availability of 2-D spectro-heliographs it was determined that the assumeddensity models were consistent with the observed source positions (Wild, 1970). It should be noted though, that the deduced coronal electron densities are about a factor of i0 greater than values determined from white light measurementsof the quiet corona (Stewart, 1976). The propagation of shocks through the corona and IP mediumis of considerable interest. Shocks play an important role in the energetics of the solar corona and in particle acceleration, both at the sun and in the IP medium. In situ measurementsof shocks have been madefor more than fifteen years and muchprogress has been madein understanding shock structure. However, the majority of the spacecraft used for these studies have been in earth orbit providing information at only one heliocentric distance. Thus not much is knownabout the evolution of shocks. Oneproperty that is known, and was first pointed out by Gosling et ai. (1968), is that most shocks decelerate during their transit from the sun. Shock speeds at 1AU are less than the transit speeds. The deceleration is presumedto be as a result of expansion of the wave and energy transfer to the ambient solar wind. 703 https://ntrs.nasa. gov/search.jsp? R=19840005054 2019-11-04T11:14:08+00:00Z
Opening Pandora's Box: Studying the Accuracy of Managers' Perceptions

Both researchers and managers depend on the accuracy of managers' perceptions. Yet, few studies compare subjective with"objective" data, perhaps because it is very difficult to do well. These difficulties also muddy interpretations of results. Onone hand, studies suggest that managers' perceptions may be very inaccurate. On the other hand, the observed errors inmanagerial perceptions may arise from research methods instead of managers.Because perceptual data are so significant for both researchers and managers, researchers need to understand both thepotential contaminants of perceptual research and the determinants of perceptual errors and biases. This article reviewsstudies of the accuracies of managers' perceptions, points out hazards in such research, and suggests various ways toimprove studies of perceptions. The suggestions encompass improvements in gathering more valid subjective data, locatingmore appropriate "objective" data, finding appropriate respondents, and using statistical methods that provide accurate andreliable estimates with small samples.
IDENTIFYING INFLUENTIAL BLOGGERS ON THE WEB

Blog has take an important aspect of internet since the introduction of Web 2.0 technology because blog as been away to influence others who read the blogs. People now have interest in finding materials and friends on the internet.Many users visit blog sites to read the posts and comment on them. Most people do read blog to gather informationon things that are important before take major decision about them. Because blogger always share their experienceon a topic for others to comments and through this others share their own experience. With the impact thatinfluential blogger have in a community. The benefits of achieving competitive advantages in a blog community byidentify influential blogger have created several research gaps and the popularity of these services has make theproblem of identifying the most influential bloggers significant, since its solution can lead to major benefits for theusers of this services i.e. education, politic, participatory journalism, advertising, searching, commerce etc. Thecurrent works in this regard ignore some important aspects of the blogsphere. This paper focuses on using acrossbreed method as an improvement to the existing methodologies. With the introduction of new parametersFBCount and Mining Comments the new approach show that the score of each blog post reflect quality andgoodness of blog post. A program prototype was designed to calculate the influential bloggers. The results obtainedconfirm that current approach could significantly identify influential of bloggers on the web and the proposed modelhas better performance than other approaches. There are still a few of avenues for the future research. Future workcan include full implementation of the program prototype and try to improve on it to directly get the parameters usedfrom the blog post on the web in a blog community, more parameters like twitter shares, G+1s Pin shares etc can beincluded into the literature and check for the behavior of the influence and future research can investigate more timein deciding weight parameter that is crucial for tuning between different influential factors. Keyword : Blog, Blogger, Social networks, Blogosphere, Influential bloggers, Influential, Models.
Numerical simulation of single phase flow in a flotation machine

In the paper, the numerical model of the flow phenomena in the flotation machine is presented. The process of flotation consists of a number of phenomena which provide serious numerical difficulties. One can enumerate rotation, two phase flow, foam formation etc. To the knowledge of authors there is no complete numerical model available for the flotation machine. The long-term task of the project is to create a complete model of the machine. Such a model would be very helpful in the process of construction and modernization of the flotation machine. As it was mentioned, due to difficulties connected with modelling the flotation phenomena, only a few aspects of the process were taken under consideration. In the paper, a single phase flow of water is considered. The efficiency of the flotation process strongly depends on the fluid flow field in the machine. The level of mixing the fractions and air bubbles strongly depends on the velocity field of the water, so the proper model of fluid flow is of great practical importance. This paper presents preliminary results of mathematical modelling. The commercial package ANSYS Fluent was utilized for the analysis. The results were compared with the measurements performed on the small scale model of the machine. Obtained results are satisfying and encouraging for further development.
Indian Language Transliteration Using Deep Learning

Transliteration of Indian languages has been a challenging problem. , given their complex nature. , which has conventionally been handled by rule based systems developed by trained linguists. Scalability is a prominent issue with these systems and given the number of language pairs possible for Indian languages. , a scalable pipeline is necessary for swift development of these systems. Deep learning systems are pragmatic for building a scalable pipeline. , as they are completely data driven. We experimented with LSTMs and Sequence to Sequence models to find an optimal model for the scalable pipeline by comparing the results. The results show Sequence to Sequence models are a better fit for this solution. We also discuss techniques for pre-processing the data and post processing the output for optimal performance.
Service and Utility Oriented Distributed Computing Systems: Challenges and Opportunities for Modeling and Simulation Communities

Summary form only given. Grids and peer-to-peer (P2P) networks have emerged as popular platforms for the next generation parallel and distributed computing. In these environments, resources are geographically distributed, managed and owned by various organizations with different policies, and interconnected by wide-area networks or the Internet. This introduces a number of resource management and application scheduling challenges in the domain of security, resource and policy heterogeneity, fault tolerance, and dynamic resource conditions. In these dynamic distributed computing environments, it is hard and challenging to carry out resource management design studies in a repeatable and controlled manner as resources and users are autonomous and distributed across multiple organizations with their own policies. Therefore, simulations have emerged as the most feasible technique for analyzing policies for resource allocation. This paper presents emerging trends in distributed computing and their promises for revolutionizing the computing field, and identifies distinct characteristics and challenges in building them. We motivate opportunities for modeling and simulation communities and present our discrete-event grid simulation toolkit, called GridSim, used by researchers world-wide for investigating the design of utility-oriented computing systems such as data centers and grids. We present various case studies on the use of GridSim in modeling and simulation of business grids, parallel applications scheduling, workflow scheduling, and service pricing and revenue management.
Thoughts and Utterances: The Pragmatics of Explicit Communication

Introduction. 1. Pragmatics and Linguistic Underdeterminacy: Saying and Meaning. The Underdeterminacy Thesis. Eternal Sentences and Effability. Metarepresentation, Relevance and Pragmatic Inference. Underdeterminacy, Truth Conditions and the Semantics/Pragmatics Distinction. Radical Underdeterminacy and the Background. Underdeterminacy of Thought? Summary. 2. The Explicit/Implicit Distinction: Semantics/Pragmatics Distinction. Grice: Saying/Implicating. Sperber and Wilson: Relevance-theoretic Distinctions. Travis and Recanati: Enriched 'What is Said'. Bach: What is Said/Impliciture/Implicature. Pragmatic Meaning: Enrichment or Implicature? Postscript: Hidden Indexicals or 'Free Enrichment? Conclusion: From Generative Semantics to Pro-active Pragmatics. 3. The Pragmatics of 'And'-Conjunction: Preserving the Truth-functionality of 'And'. A Relevance-based Pragmatics of Conjunction. The Semantic Alternatives. Cognitive Fundamentals: Causality and Explanation. Relevance Relations and Units of Processing. Processing Effort and Iconicity. Residual Issues. Conclusion: From Generalized Conversational Implicature. 4. The Pragmatics of Negation: Some Data and Some Distinctions. Semantic Ambiguity Analyses. Strong Pragmatic Analyses. 'Presupposition'-cancelling Negation and Metalinguistic Negation. The Pragmatics of 'Presupposition'-Denial. Conclusion: From Multiple Semantic Ambiguity to Univocal Semantics and Pragmatic Enrichment. 5. The Pragmatics of On-line Concept Construction: Encoded Concepts and Communicated Concepts. A Symmetrical Account of Narrowing and Broadening. Metaphor: Loose Use and Ad Hoc Concepts. Word Meaning and Concepts. Conclusion: The Long Road from Linguistically Encoded Meaning to the Thought(s) Explicitly Communicated. Appendix 1: Relevance Theory Glossary. Appendix 2: Gricean Conversational Principles. References. Index.
III-V Nanolaser Integration with CMOS Electronics and Silicon Photonics

Author(s): Lu, Fanglu | Advisor(s): Chang-Hasnain, Constance J | Abstract: Using optical signal rather than electrical signal to transmit information on silicon-based computer chips, also known as intra-chip optical interconnect, can potentially boost computation speed and reduce energy consumption. This requires a laser source on silicon, which is a challenging task. Almost all commercial semiconductor lasers are made of III-V material because silicon is an inefficient emitter due to its indirect bandgap. Therefore, integration of III-V laser on silicon is a must towards practical optical interconnect. However, both lattice constant and thermal expansion coefficient mismatch between III-V and silicon fundamentally restricted high quality III-V thin film growth on top of silicon substrates. III-V nanostructures on silicon, on the other hand, can overcome this issue thanks to their small footprint and fully relaxed strain from lattice mismatch. As a result, III-V nanolaser becomes a promising candidate as the on-chip light source for optical interconnect. In this dissertation, our III-V nanopillar lasers experimentally demonstrate integration capabilities with silicon-based electronics and photonics. The nucleation and growth mechanism of InGaAs and InP nanopillars is first studied with characterization observations, unveiling the reason accounting for the high quality nanopillar. The superior crystal quality, together with unique 3D whispering gallery mode, enables the laser oscillation in as-grown nanopillars. To prove the CMOS compatibility, these nanolasers are monolithically grown onto silicon-based transistor chips, without compromising the electronic performance of chips. In addition, horizontal nanopillar growth is developed to integrate nanolasers with silicon waveguides in an end-fire manner. The coupling between laser and waveguide is prominently observed under photoluminescence experiment, serving as a proof-of-concept for integration with more complicated photonic circuits. To avoid laser emission absorbed by silicon, long wavelength lasers are obtained with InP/InGaAs/InP quantum well nanpillars and three novel optical cavities. Detailed laser modeling is also performed to provide guidance for further laser optimization. For electrical pumping, we also explores methods to make perfect nanopillar diodes. Furthermore, an optical link with nanopillar devices and polymer waveguide is shown to be functional to transmit signals on silicon substrate. With these experimental demonstrations, this III-V nanolaser strategy presents a great potential to achieve on-chip laser source.
Beyond Deep Feature Averaging: Sampling Videos Towards Practical Facial Pain Recognition

In hospitals, automatic identification of patients with cameras can greatly generalize the applicability of intelligent patient monitoring. However, patients unaware of being monitored do not adjust their behaviors, making pose variation a challenge. We argue that the frame-wise feature mean is unable to characterize the variation among frames. We propose to preserve the overall pose diversity if we want the video feature to represent the subject identity. Then identity will be the only source of variation across videos since pose varies even within a single video. Following that variation disentanglement idea, we present a pose-robust face verification algorithm with each video represented as an ensemble of frame-wise CNN features. Another challenge is that patients may move anytime, which makes real-time processing of a video stream a necessity. Instead of simply using all the frames, the algorithm is highlighted at the key frame selection by pose quantization using pose distances to K-means centroids, which reduces the number of feature vectors from hundreds to K while still preserving the overall diversity. We analyze how such a video sampling strategy is better than random sampling. An end-to-end face recognition algorithm is developed for real-time patient identification with a rank-list of one-to-one similarities using the proposed video representation. It works well in practice and generates a private patient dataset on the fly. On the official 5000 video-pairs of public YouTube Face dataset, our algorithm achieves a comparable performance with state-of-the-art that averages over deep features of all frames. In summary, the main contribution of this paper is a videoversus-video consensus with discriminative metric learning on the fly, which is verified in a working system for the patient monitoring system. Figure 1: Painful expression can be subtle and short. Detection and measurement are difficult. Pain level is defined as AU4 + (AU6——AU7) + (AU9——AU10) + AU43 [18] [from the Prkachin and Solomon pain intensity (PSPI) metric].