Miracle-dz/UniFAR-FTUs huggingface dataset:
Hadamard Transform-Based Optimized HEVC Video Coding

The High Efficiency Video Coding (HEVC/H.265) standard achieves great improvement in compression efficiency over the widely used H.264/AVC standard at a cost of much higher complexity. When encoding videos using HEVC, the selection of the quantization parameter (QP) can significantly affect the coding efficiency. Typical algorithms for adaptive quantization employ fixed bitrate budgeting or fixed QP offsets for different frames and different blocks, without considering detailed input video characteristics, some of which might be captured using computer vision methods. The problem of determining adaptive settings of HEVC coding parameters has not been satisfactorily solved. In this paper, we proposed a Hadamard (“HAD”) energy-based optimized HEVC video encoder, in which HAD energy is used to measure the amount of residual information to be encoded in a block so as to determine the QP value for each block for a better coding efficiency. HAD energy is also used to expedite the time-consuming mode decision process and for a precise scene change detection to avoid flicker artifacts. Experiment using the widely used open source HEVC encoder <inline-formula> <tex-math notation="LaTeX">$\times$ </tex-math></inline-formula>265-v1.8 showed that the proposed algorithm was able to achieve an average of 14% saving in Bjøntegaard-delta-rate and an average of 20% saving in encoding time as compared the “medium” preset of <inline-formula> <tex-math notation="LaTeX">$\times$ </tex-math></inline-formula>265, while the proposed algorithm also produced an improvement of 3.3% in coding efficiency for the HEVC reference software HM-16.6.
Angiolymphoid hyperplasia with eosinophilia: A case report

Angiolymphoid hyperplasia with eosinophilia (AHE) has an unknown pathogenesis but is considered a reactive phenomenon, possibly in response to or in association with an underlying vascular malformation. There is history of trauma in some cases, and hyperestrogenemia (e.g. pregnancy, oral contraceptive use) may foster lesion growth. T-cell monoclonality has been reported in few cases. We report such a case in a 39-year-old male who visited our hospital with multiple nodules on the occipital of his head.
Development of an automatic judging system for determining the difficulty levels of English audio materials

Okazaki and Nitta (2005) developed an e-learning program called PLIMA (your Personal LIstening Manager) which focuses on improving poor phonological analysis such as the inability to hear liaison or unstressed sounds. However, the fact remains that there are certain types of liaison sounds that learners do not catch, and some types they do. This means if we specify what type, in other words, what level of liaison sounds they cannot catch, that will help PLIMA offer more effective learning to learners who lack certain listening skills. To automatically determine the difficulty levels of the English audio materials, text evaluation techniques using lexical databases have been employed in many cases so far. However, automatic judging systems on the difficulty levels of the English audio materials themselves, not using lexical databases, are almost unseen. In this paper, we are going to propose a listening difficulty level determination system, to overcome such a challenging task. It applies a processing technique to extract the acoustic feature quantities that are employed in speech recognition engines.
The Management of Construction Firms: Aspects of Theory

List of Tables - List of Figures - Preface to the 1994 Reprint - Foreword W.D. Biggs - Acknowledgements - Abbreviations and Acronyms - Notes on Contributors - Introduction P.M. Hillebrandt & J.Cannon - Theories of the Firm J.Cannon & P.M. Hillebrandt - Business Objectives and Strategy W.Ramsay - Diversification J.Cannon & P.M. Hillebrandt - International Contracting H.Seymour - Financial Strategy J.Cannon & P.M. Hillebrandt - Social Technology and Structure P.Clark - Managers and the Organisation S.Male & R.Stocks - Manpower Management P.J.Buckley & P.Enderwick - Pricing Policy R.Flanagan & G.Norman - Glossary - Appendix: Contents of the Companion Volume The Modern Construction Firm - Index
Time series prediction with wavelet neural networks

ANN are powerful approximants of nonlinear functions adequate for model-free estimation of systems. The main features of artificial neural networks: massive parallelism, distribution of computation among similar quite simple processing elements and-especially-the ability to learn from examples and to self-adapt are very well suited for the multiresolution approach intrinsic to wavelets. Both feedforward and dynamic recurrent ANN with internal delay lines (FIR) have been successfully used for the prediction of time series. Wavelets offer an adequate framework for the representation of "natural" a signals and images that are described by piecewise smooth functions, with rather sharp transitions between neighboring domains. This results in a local correlation structure of signal samples, which decays fast for farther apart ones. A similar structure exists in the frequency domain, corresponding to the band structure of the natural sources spectra. Wavelet representations are adequate building blocks for rather general functions of the mentioned type. Combining the advantages offered by neural network processing, on one hand, with wavelet representation, on the other, is an attractive idea. The paper presents some examples of wavelet neural networks applied to time series prediction.
Using the Evidence Based Medicine Framework to Support Music Therapy Posts in Healthcare Settings

The Evidence Based Medicine (EBM)1 framework has been incorporated into the field of healthcare practice over the past decade. Whatever our stance as to its benefits and disadvantages, more and more music therapists in health departments and related clinical posts will be asked to account for their work using this approach to the documentation of clinical effectiveness. It is important that music therapists working within clinical service guidelines understand the framework of EBM and are aware of ways in which they can include its precepts in their justifications for practice and posts. The levels of evidence in an EBM approach are presented and discussed and the issues particular to the application of music therapy research findings are explored. Given the author's experience in paediatric medical settings, some of the examples in this paper will refer to the children's hospital context in particular.
Overlaps of CA-125 Bio Marker As a kind of Medical Error in Women's Complications: A Cross Sectional Study in Korramabad (west of Iran)

Sciences None DOI: 10.16965/ijims.2016. 105 Introduction: Medical errors secondary to false positive and false negative of immunoassay have not ever been as considerable as therapeutic and surgical errors so. Of the overlapping bio markers, Cancerous Antigen 125 (CA-125) can be noted as a factor which its level is high in a wide spectrum of disease that mainly leads to medical error between endometriosis and ovarian cancer. So we intend to represent a way to distinguish endometriosis from the other CA-125 related complications. Materials and Methods: Present paper is a cross sectional study on the medical records of Noor pathobiology laboratory in Khorramabad (west of Iran) during 2014-2015. Results: There were totally 693 records for CA-125. In 90 patients (about 12.9%) the level of CA-125 was high that 7 individuals were male. Totally, CA-125 level was high in about 10% and 13% of respectively male and female required to the test patients. Among the female patients having high level of CA-125, only 20 of them were required to test Carcino-embryonic Antigen (CEA). No one of these 20 individuals has abnormal CEA. Conclusion: It can be concluded that dual assaying CA-125 and CEA might be a helpful method to distinguish endometriosis from ovarian cancer. Also it is suggested to use combined method including immunoassay and imaging. Further research is necessary to identify a more specific bio marker for endometriosis
Fashioning Sapphism : the origins of a modern English lesbian culture

Introduction: "It's Hard to Tell Them Apart Today" 1 The Mythic Moral Panic: Radclyffe Hall and the New Genealogy 2 "That Nameless Vice Between Women": Lesbianism and the Law 3 Outraging the Decencies of Nature? Uniformed Female Bodies 4 Passing Fashions: Reading Female Masculinities in the 1920s 5 Lesbian Writers and Sexual Science: A Passage to Modernity? 6 Portrait of a Sapphist? Fixing the Frame of Reference
Bouées transcodiques en situation immersive ou comment interagir avec deux langues quand on apprend une langue étrangère à l’école

A partir d’une analyse de productions d’enfants (construction ou restitution de mini-recits) et d’enseignants dans une classe maternelle espagnole d’immersion en francais, l’auteur propose de nouvelles pistes pour la gestion des sequences ou la LM apparait. Elle montre que dans ce type d’echanges, si la L1 est « une balise de dysfonctionnement » ou « un appel a l’aide », elle est aussi un moyen de contact et un « pont vers l’autre langue ». Elle analyse la fonction des alternances, preparees ou non, relais ou tremplins, dans une interaction ou le recours a la langue maternelle marque la mise en œuvre de strategies interessantes, qui preparent un travail veritablement acquisitionnel.
3,3′:5,6‐Di‐O‐isopropyl­idene‐3‐C‐hydroxy­methyl‐d‐allono‐1,4‐lactone: an organic structure containing large unoccupied voids

The Kiliani reaction of d-hamamelose with sodium cyanide, followed by acetonation, affords crystalline 3,3′:5,6-di-O-isopropyl­idene-3-C-hydroxy­methyl-d-allono-1,4-lactone, C13H20O7, a carbon-branched sugar with potential as an enanti­omerically pure carbohydrate scaffold. The lactone has one single free hydroxyl group unprotected, with six other functional groups protected in a single step as ketals or esters. The resulting crystal structure is unusual in that it contains large voids (544 A3) within which there is no evidence of included solvent.
Simultaneous switching noise in CMOS VLSI circuits

In this paper, we present techniques for estimating the worst-case voltage variations in the power distribution network due to switching of I/O buffers or internal logic circuits in a small time interval. We refer to these voltage variations as the simultaneous switching noise (SSN). We present simulation results to show that a relative skew in the switching time can dramatically increase the SSN due to I/O buffers with dissimilar loads. We also present a constraint graph based technique that accounts for logic dependencies between switching elements to obtain accurate estimates of the worst-case SSN due to internal logic circuits. Comparisons with SPICE simulations are presented to validate our approach.
Oop: Building Reusable Components with Microsoft Visual Basic .Net

Discover how to design and build powerful, component-based applications quickly with Visual Basic . NET! The Microsoft . NET Framework collection of classes and technologies dramatically shortens development cycles and reduces development costs. Find out how to take advantage of this new development environment with this hands-on primer about writing Visual Basic . NET components, using the principles of object-oriented programming. It's full of proven, real-world strategies that'll help you get more out of your scarce coding resources. You'll discover how to design and build powerful applications of almost any size quickly from reusable, shared components that you can create with Visual Basic . NET-or adapt from the samples included with the book. You'll learn about the latest changes to the language as well as the features that . NET brings to the development process. You'll also learn how to construct a rich, object-oriented architecture that simplifies the creation of complex business applications from reusable components.
Corpus, quantification et typologie textuelle

Cet article examine les consequences pour la description de normes linguistiques des nouveaux observables que permettent de construire les linguistiques de corpus. Nous formulons l'hypothese que des corpus complexes articulant plusieurs niveaux de descriptions permettent de caracteriser les textes, au-dela de profils morpho-syntaxiques ou lexicaux, par des observables fondes sur des categories de la linguistique textuelle. L'enjeu est de pouvoir articuler methodes quantitatives et linguistique textuelle pour renouveler les capacites descriptives. Dans le cadre d'une linguistique des normes, cette articulation peut contribuer a une typologie textuelle, qui doit etre rapprochee des typologies linguistiques.
Happiness and Technology: Special Consideration of Digital Technology and Internet

works it is evident that it is possible to study happiness scientifically based on its direct measurement. The scientific study of happiness is based on a conception of happiness as a human experience and on the measurement of happiness by asking directly those who experience it. Under the new approach, the information that people provide about their well-being experience is valuable both for knowing their welfare situation and for studying the importance that different personal and social environment factors have for their happiness [18]. Happiness is a human experience so it cannot be conceived in the absence of human beings who experience it. Happiness is neither an academic creation nor an invention of philosophers, but an experience that happens to human beings. Consequently, the work of academics should consist in investigating it in order to understand what their explanatory factors are. The starting point is that happiness refers to people’s experience of well-being, and that each subject is the one who can best report this experience because he or she is who experience it. Logically, happiness is inherently subjective, since it is an experience of the subject and this experience cannot exist without the person [19]. Happiness research requires high-level techniques to deal with large information sets in order to extract the relevant information. In the study of happiness there are many observations –as many as persons in the world, there are many variables, and there are many interrelations and synergies to take account of. In consequence, happiness research benefits from sophisticated models that allow for a better understanding of people’s happiness. Without losing contact with what real human beings experience, it is important to use techniques that allow researchers to process all the information to reach valuable conclusions. With this purpose, Computer Science has joined the other disciplines providing its powerful calculation tools to advance the study of happiness [20].
An Architecture of Intelligent Cloud Data Mining Platform for Optimization of Cloud Based Business Intelligence

These days, business processing, data handling, data/information distributing and extracting new pattern or knowledge are more challenging than ever. The problems are experienced on heterogeneity, voluminous, contents and dynamic nature of data towards users’ desires, which demanded efficient and advanced tools and infrastructures to the success and doing business as the nature of the domain. In this paper, we proposed Intelligent Cloud Data Mining (ICDM) approach to optimize Cloud Based Business Intelligence (CBBI) as a service to overcome the challenges of large business data handling and distributions, and exploration and knowing the nature as the business system by considering business dynamism and intelligent cloud systems. The need of ICDM is to support the data cloud integrated to CC involving the dynamic nature of DM techniques and tasks, which empower users’ understandability, system scalability and adaptability within BI as a service. The ICDM technology for CBBI is a systematic approach to provide the principle of technology, proper implementation process, and defining and limiting the key issues of business development prospects. Therefore, the outcome of this paper is to realize and accessing data/information to optimize business decision process and business success, which could be applicable across the fields within the context of business environments. Furthermore, ICDM based CBBI approach is a fundamental and technological demanding direction of future generations of business cloud systems.
Advanced text and video analytics for proactive decision making

Today’s warfighters operate in a highly dynamic and uncertain world, and face many competing demands. Asymmetric warfare and the new focus on small, agile forces has altered the framework by which time critical information is digested and acted upon by decision makers. Finding and integrating decision-relevant information is increasingly difficult in data-dense environments. In this new information environment, agile data algorithms, machine learning software, and threat alert mechanisms must be developed to automatically create alerts and drive quick response. Yet these advanced technologies must be balanced with awareness of the underlying context to accurately interpret machine-processed indicators and warnings and recommendations. One promising approach to this challenge brings together information retrieval strategies from text, video, and imagery. In this paper, we describe a technology demonstration that represents two years of tri-service research seeking to meld text and video for enhanced content awareness. The demonstration used multisource data to find an intelligence solution to a problem using a common dataset. Three technology highlights from this effort include 1) Incorporation of external sources of context into imagery normalcy modeling and anomaly detection capabilities, 2) Automated discovery and monitoring of targeted users from social media text, regardless of language, and 3) The concurrent use of text and imagery to characterize behaviour using the concept of kinematic and text motifs to detect novel and anomalous patterns. Our demonstration provided a technology baseline for exploiting heterogeneous data sources to deliver timely and accurate synopses of data that contribute to a dynamic and comprehensive worldview.
Hypnerotomachia Poliphili = The strife of love in a dream

Exactly 500 years after its first publication by the great Venetian printing house Aldus Manutius, Francesco Colonna's weird, erotic, allegorical antiquarian tale, Hypnerotomachia Poliphili, was translated into English and reprinted in full, together with all of its 174 original - and enchanting - woodcut illustrations. It is one of the most important documents of Renaissance imagination and fantasy, and its woodcuts are a primary source for Renaissance ideas on both buildings and gardens. This translation was first published in 1999 in a large format that exactly matched the original in size, design and typography. This new, smaller paperback edition retains all the text and illustrations and is easy to handle and read. Long prized by bibliophiles, pored over by generations of scholars, this classic book may now gain the wider audience its melancholy genius merits.
Prasugrel

Each month, subscribers to The Formulary Monograph Service receive 5 to 6 well-documented monographs on drugs that are newly released or are in late phase 3 trials. The monographs are targeted to Pharmacy & Therapeutics Committees. Subscribers also receive monthly 1-page summary monographs on agents that are useful for agendas and pharmacy/nursing inservices. A comprehensive target drug utilization evaluation (DUE) is also provided each month. With a subscription, the monographs are sent in print and are also available online. Monographs can be customized to meet the needs of a facility. Subscribers to The Formulary Monograph Service also receive access to a pharmacy bulletin board, The Formulary Information Exchange (The F.I.X.). All topics pertinent to clinical and hospital pharmacy are discussed on The F.I. X. Through the cooperation of The Formulary, Hospital Pharmacy publishes selected reviews in this column. For more information about The Formulary Monograph Service or The F.I. X. , call The Formulary at 800-322-4349. The January 2010 monograph topics are peramivir, pazopanib, ofatumumab, guanfacine extended-release tablets, and C1 esterase inhibitor (human). The DUE is on peramivir.
Conditional Entropy as a Supervised Primitive Segmentation Loss Function.

Supervised image segmentation assigns image voxels to a set of labels, as defined by a specific labeling protocol. In this paper, we decompose segmentation into two steps. The first step is what we call "primitive segmentation", where voxels that form sub-parts (primitives) of the various segmentation labels available in the training data, are grouped together. The second step involves computing a protocol-specific label map based on the primitive segmentation. Our core contribution is a novel loss function for the first step, where a primitive segmentation model is trained. The proposed loss function is the entropy of the (protocol-specific) "ground truth" label map conditioned on the primitive segmentation. The conditional entropy loss enables combining training datasets that have been manually labeled with different protocols. Furthermore, as we show empirically, it facilitates an efficient strategy for transfer learning via a lightweight protocol adaptation model that can be trained with little manually labeled data. We apply the proposed approach to the volumetric segmentation of brain MRI scans, where we achieve promising results.
Multilinear Subspace Learning for Face and Gait Recognition

Face and gait recognition problems are challenging due to largely varying appearances, highly complex pattern distributions, and insufficient training samples. This dissertation focuses on multilinear subspace learning for face and gait recognition, where low-dimensional representations are learned directly from tensorial face or gait objects. This research introduces a unifying multilinear subspace learning framework for systematic treatment of the multilinear subspace learning problem. Three multilinear projections are categorized according to the input-output space mapping as: vector-to-vector projection, tensor-to-tensor projection, and tensor-to-vector projection. Techniques for subspace learning from tensorial data are then proposed and analyzed. Multilinear principal component analysis (MPCA) seeks a tensor-to-tensor projection that maximizes the variation captured in the projected space, and it is further combined with linear discriminant analysis and boosting for better recognition performance. Uncorrelated MPCA (UMPCA) solves for a tensor-to-vector projection that maximizes the captured variation in the projected space while enforcing the zero-correlation constraint. Uncorrelated multilinear discriminant analysis (UMLDA) aims to produce uncorrelated features through
Using Topic Modeling to Enhance Access to Library Digital Collections

ABSTRACT Information centers are increasingly being confronted with the challenges of shifting information environments. The development of a digital information society has dictated that libraries devise strategies to capture, describe, and provide access to these digital documents in addition to physical formats. This is nowhere more apparent than in the field of government information. With a public access mandate and a distribution model that has forever been destabilized by the development of low barrier Web publishing technologies, libraries providing access to government information face more challenges than ever. This article looks at the possibility of using topic modeling to increase access to the growing number of poorly described digital texts distributed to libraries and archives. The article provides a basic overview of what topic modeling is and its potential applications in libraries, describes some popular tools and potential workflows, and illustrates how the author tested a potential workflow.