Miracle-dz/UniFAR-FTUs huggingface dataset:
An efficient framework based on usage and semantic data for next page prediction

The World Wide Web is becoming the most important source to search for information or products. But the size and the unstructured nature of the available information makes the location of the right information a challenging task. Recommender systems and web usage mining techniques are two of the main methods used to overcome information overload. In this paper, we present a framework for the next page prediction that exploits users’ access history combined with his semantic interests to generate personalized and accurate recommendations. We are suggesting two different approaches for decision fusion between usage and semantic data. The two proposed techniques offered a 47.3% and 54.3% improvement in prediction accuracy over conventional methods for next page prediction. The suggested framework also employs user clustering to focus the search which reduced the prediction time by an average of 68.7% and 63.4%.
The Ocean's Memory of the Atmosphere: Residence-Time and Ventilation-Rate Distributions of Water Masses

A conceptually new approach to diagnosing tracer-independent ventilation rates is developed. Tracer Green functions are exploited to partition ventilation rates according to the ventilated fluid’s residence time in the ocean interior and according to where this fluid enters and exits the interior. In the presence of mixing by mesoscale eddies, which are reasonably represented by diffusion, ventilation rates for overlapping entry and exit regions cannot meaningfully be characterized by a single rate. It is a physical consequence of diffusive transport that fluid elements that spend an infinitesimally short time in the interior cause singularly large ventilation rates for overlapping entry and exit regions. Therefore, ventilation must generally be characterized by a ventilation-rate distribution, , partitioned according to the time that the ventilated fluid spends in the interior between successive surface contacts. An offline forward and adjoint time-averaged OGCM is used to illustrate the rich detail that and the closely related probability density function of residence times R provide on the way the ocean communicates with the surface. These diagnostics quantify the relative importance of various surface regions for ventilating the interior ocean by either exposing old water masses to the atmosphere or by forming newly ventilated ones. The model results suggest that the Southern Ocean plays a dominant role in ventilating the ocean, both as a region where new waters are ventilated into the interior and where old waters are first reexposed to the atmosphere.
Blockade of bradykinin‐induced nociception in the rat as a test for analgesic drugs with particular reference to morphine antagonists

A rat test, recently outlined by Deffenu & others for the evaluation of analgesic drugs and using intra‐arterially administered bradykinin as the nociceptive stimulus, has been applied to varied categories of analgesic drugs including, for the first time, morphine antagonists. For purposes of comparison, data obtained with the same drugs using established techniques are also given. The use of the bradykinin‐antagonism test as a laboratory model with which to investigate drugs of potential therapeutic value in man is discussed and compared particularly with the mouse phenylquinone‐induced writhing test. Attention is drawn to the possibility of correlating the effect of drugs on bradykinin‐induced pseudo‐affective responses in animals with human pain.
Spoken Language and Vision for Adaptive Human-Robot Cooperation

In order for humans and robots to cooperate in an effective manner, it must be possible for them to communicate. Spoken language is an obvious candidate for providing a means of communication. In previous research, we developed an integrated platform that combined visual scene interpretation with speech processing to provide input to a language learning model. The system was demonstrated to learn a rich set of sentence-meaning mappings that could allow it to construct the appropriate meanings for new sentences in a generalization task. We subsequently extended the system not only to understand what it hears, but also to describe what it sees and to interact with the human user. This is a natural extension of the knowledge of sentence-to-meaning mappings that is now applied in the inverse scene-tosentence sense (Dominey & Boucher 2005). The current chapter extends this work to analyse how the spoken language can be used by human users to communicate with a Khepera navigator, a Lynxmotion 6DOF manipulator arm, and the Kawada Industries HRP-2 Humanoid, to program the robots’ behavior in cooperative tasks, such as working together to perform an object transportation task, or to assemble a piece of furniture. In this framework, a system for Spoken Language Programming (SLP) is presented. The objectives of the system are to 1. Allow the human to impart knowledge of how to accomplish a cooperative task to the robot, in the form of a sensory-motor action plan. 2. To allow the user to test and modify the learned plans. 3. To do this in a semi-natural and real-time manner using spoken language and visual observation/demonstration. 4. When possible, to exploit knowledge from studies of cognitive development in making implementation choices. With respect to cognitive development, in addition to the construction grammar model, we also exploit the concept of “shared intentions” from developmental cognition as goal-directed action plans that will be shared by the human and robot during cooperative activities. Results from several experiments with the SLP system employed on the different platforms are presented. The SLP is evaluated in terms of the changes in efficiency as revealed by task completion time and number of command operations required to accomplish the tasks. Finally, in addition to language, we investingate how vision can be used by the robot as well to observe human activity in order to able to take part in the observed activities. At the interface of cognitive development and robotics, the results are interesting in that they (1) provide concrete demonstration of how cognitive science can contribute to human-robot interaction fidelity, and (2) they suggest how robots might be used to experiment with theories on the implementation of cognition in the developing human.
The Effect of Organizational Slack on Innovation Performance: An Empirical Study of High-Tech Industry in China

To compete through disruptive innovation, organisations allocate part of its resources as a buffer to support its capability of disruptiveness or to face challenges created by competitors. These resources could be in terms of human resources, technology, equipment, information and/or financial resources. Literature refers to the buffer of resources as organisational slack. This research considers high-tech industry in China and investigates the relationship between the characteristics of the organisation’s governance body, organisational slack and innovation performance. Data required by our research were obtained from various national databases available in the library of Zhejiang University. Data from 233 high-tech organisations listed in Chinese stock market were analysed. The results indicate that the interaction of the organisational slack of an organisation with various characteristics of the governance body partially moderates the innovation performance. The Effect of Organizational Slack on Innovation Performance: An Empirical Study of HighTech Industry in China
SISTEM REKOMENDASI PROMOSI HOTEL PADA WISATAWANMANCANEGARA BERBASIS DATA MINING

Hotel merupakan salah satu dari akomodasi yang merupakan unsur penting dalam perkembangan dunia pariwisata. Promosi hotel ke mancanegara perlu dilakukan melihat banyaknya wisatawan mancanegara (wisman) yang datang ke Indonesia khususnya Yogyakarta. Namun kegiatan promosi yang tidak efektif berdampak pada penggunaan biaya promosi yang tidak tepat dan tidak sesuai pasar. Sistem rekomendasi promosi hotel ke mancanegara berbasis data mining dibuat dengan melakukan proses clustering pada data tamu hotel di Yogyakarta dari wisman. Clustering dilakukan dengan algoritma k-Means. Hasil dari proses clustering berupa cluster data tamu hotel dari wisman berdasarkan waktu kedatangan dan asal negara, sehingga diperoleh waktu kedatangan wisman tertinggi, dan asal negara wisman tertinggi. Hasil tersebut diimplementasikan dalam membangun program rekomendasi promosi hotel untuk menentukan waktu yang tepat untuk melakukan promosi dan negara yang tepat untuk melakukan promosi.
Optimized Clustering Techniques with Special Focus to Biomedical Datasets

The clinical data including clinical test results, MRI images and drug responses of patients are documented and analyzed with machine learning and data mining tools. The scale and complexity of these datasets is a big challenge to machine learning and data mining community as the data is of mixed type. The extraction of meaningful or desired information from these datasets provides knowledge in decision making process which in turn helps for the diagnosis and treatment of the diseases. Biomedical datasets are a collection of data with diverse types as it involves images, clinical studies, statistical reports etc. The recent researches have focused on different clustering and classification methods to manage and analyze the biomedical datasets. The objective of this chapter is to cluster or classify the patterns of interest from Brain MRI images, Liver disorder and Breast cancer datasets using efficient clustering methodologies. Among the different algorithms in data mining for clustering, classification, visualization and interpretation, K Means, Fuzzy C Means and Neural Networks(NN) are frequently used for clustering and classification of biomedical datasets. The performance of these methods are greatly influenced by the initialization of K value and its convergence speed. This chapter discusses about FCM and K Means clustering methods and its optimization with meta heuristics such as Particle Swarm Optimization (PSO) and Quantum Particle Swarm Optimization (QPSO). The experimental section of this paper exhibits analysis in terms of Intra cluster distances, elapsed time and Davis Bouldin Index (DBI).
Parallelization and Optimization of SIFT Feature Extraction on Cluster System

Scale Invariant Feature Transform (SIFT) has been widely applied, but extracting SIFT feature is comp licated and time-consuming. In this paper, to meet the demand o f the real-time applications, SIFT is parallelized and optimized on cluster system, which is named pSIFT. Redundancy storage and commun ication are used for boundary data to improve the performance, and before representation of feature descriptor, data realloca ti n is adopted to keep load balance in pSIFT. Experimental results sh ow that pSIFT achieves good speedup and scalability. Keywords—cluster, image matching, parallelization and optimization, SIFT.
A Mixed Rays—Modes Approach to the Propagation in Real Road and Railway Tunnels

These days, security and efficiency of transportation networks are usually supported by wireless communication systems. In all cases, the radio-link reliability strongly depends on propagation properties and, therefore, effective prediction tools and models are requested in the design and planning phases of the radio system. In this paper, a mixed rays-modes approach to the propagation modeling in real tunnels is presented. The propagating field is computed as the superimposition of many characteristic modes, whose amplitudes are properly estimated thanks to a limited and, therefore, fast ray-tracing procedure; the geometrical optics rules are also used to model the main effects of the possible tunnel curvature. Moreover, an equivalent wall roughness is introduced in order to approximately account for the actual tunnel transversal shape and for the presence of inner elements and objects. The model is compared with some other different existing models and with measurements carried out inside an underground line in a neighborhood of Naples. The achieved performance is in line with the published scientific data.
(Mis)treatment of acute herpes zoster.

Recent attention has been focused on new antiviral agents for the treatment of herpes zoster both in the medical literature 1 and in the lay press ( Wall Street Journal . July 12, 1933;B1, 5). Since acyclovir was approved for treatment of herpes zoster in April 1990, we have kept a log at the University of Texas Medical Branch, Galveston, of patients presenting at our clinics who inform us that they were previously treated for shingles by their local physician. Interestingly, only 33 (17%) of 197 of these patients had received acyclovir at the recommended dosage of 800 mg orally five times per day for 7 to 10 days. Another 56% of the patients reported being treated with acyclovir at lower oral dosages and/or with topical acyclovir. The remaining 27% of patients were treated with oral antibacterial agents and/or a variety of other non-antiviral drugs. As we actively enroll patients in clinical
Individual and Organizational Antecedents of Knowledge Hiding Behavior

Knowledge hiding behavior is a relatively new concept referring to employees’ intentional withholding of knowledge even when requested to disclose. It is conceptually different from lack of knowledge sharing in the sense that knowledge sharing is not necessarily preceded by a request to share knowledge, and involved with an intention to hide it. Knowledge hiding behavior consists of three sub-dimensions of playing dumb, evasive hiding and rationalized hiding. Although knowledge hiding behavior frequently occurs in organizations and potentially harms the performance of a work unit, we have a limited understanding on what causes knowledge hiding behavior. In this regard, the primary purpose of the present study was to identify antecedents of knowledge hiding behavior. In so doing, the present study examined both organizational and individual factors. Specifically, we predicted that employees who perceive a lower level of perceived organizational justice and a higher level of perceived organizational politics are likely to engage in knowledge hiding behavior more. In addition, employees with low equity sensitivity and low prosocial motivation were also anticipated to hide knowledge. Interaction effects between the organizational and individual antecedents were also proposed. Using a survey of 321 employees, we found a positive effect of perceived organizational politics and negative effects of equity sensitivity and prosocial motivation on knowledge hiding. The main effect of perceived organizational justice was not significant. Additionally, equity sensitivity moderated the effects of perceived organizational justice and politics, but in different directions. The results of the present study indirectly and directly corroborate several psychological motives of knowledge hiding behavior. Managers of organizations where knowledge management is particularly important are recommended to pay attention to foster less political atmosphere and recruit employees with high equity sensitivity and prosocial motivation.
Ankle Fusion Combined With Calcaneal Sliding Osteotomy for Severe Arthritic Ball and Socket Ankle Deformity

Background: Although a ball and socket ankle deformity is usually congenital and asymptomatic, abnormal inversion and eversion mobility can result in recurrent ankle sprain and osteoarthritis. This retrospective study was performed to evaluate the clinical and radiologic outcomes of ankle fusion combined with calcaneal sliding osteotomy for severe arthritic ball and socket ankle deformity. Methods: Fourteen patients with severe arthritic ball and socket ankle deformity were followed for more than 3 years after operation. The clinical evaluation consisted of American Orthopaedic Foot & Ankle Society (AOFAS) score, Foot and Ankle Ability Measure (FAAM), visual analog scale (VAS) for pain, and subjective satisfaction score. The period to fusion and union of osteotomy, the change of hindfoot alignment angle, and complications were evaluated radiologically. Results: AOFAS and FAAM scores were significantly improved from an average of 37.4 and 34.5 points to 74.6 and 78.5 points, respectively. VAS for pain with walking over 20 minutes was significantly improved from an average of 8.4 points to 1.9 points. The average satisfaction score of patients was 88.9 points. The difference in heel alignment angle (compared to contralateral side) was significantly improved from an average of 34.8 to 5.4 degrees. There were 2 cases of progressive arthritis in an adjacent joint and 1 case of failed fusion. Conclusions: Ankle fusion combined with calcaneal sliding osteotomy can be an effective operative option for ball and socket ankle deformity with advanced arthritis. In spite of increased complication rate, reliable pain relief, and restoration of gait ability through correcting hindfoot malalignment could improve the quality of life. Level of Evidence: Level IV, retrospective case series.
Advertising knowledge management: strategies and implications

Since the mid-1990s, managerial and scholarly interest in the field of knowledge management has grown phenomenally. While the basic premise underlying the concept is not new, recent advances in technology and communication have enabled organisations to tap into, manage and exploit their intellectual capital to a greater extent than ever before. This paper examines the main drivers leading towards the adoption of advertising knowledge management and the strategies of ‘codification’ and ‘personalisation’. A conceptual approach is adopted using a series of propositions to guide future research, along with a practical review of the implications of knowledge management for the advertising business.
Modified teaching-learning-based optimization algorithm

In allusion to the shortcoming of global exploration performance of basic Teaching-Learning-Based Optimization (TLBO) algorithm in solving complex high-dimensional problems, a modified Teaching-Learning-Based Optimization (MTLBO) algorithm is proposed. In MTLBO algorithm, the methods of teaching phase and learning phase are respectively modified to enhance to disturbance potential of search space, and a new “Self-Learning” method is presented to enhance the innovation ability of the learner and the global exploration performance. Finally, the performance of the proposed MTLBO algorithm is investigated over 6 complex high-dimensional benchmark functions. The results show that the proposed MTLBO algorithm has some advantages over convergence velocity, accuracy, and stability.
Why it is still important that countries know the burden of pneumococcal disease

Pneumococcal diseases are a major public health problem worldwide. WHO estimates about 1.6 million of annual deaths, mostly in infants, elderly and immunocompromised individuals. Data on the burden of pneumococcal diseases are still limited but information on serotypes circulation and epidemiological pattern of diseases are essential to assess the impact of old and new vaccines. The 23-valent pneumococcal polysaccharide vaccine is recommended in the elderly in many industrialized countries. The 7-valent polysaccharide-protein conjugate vaccine is introduced into routine infant immunization programs of several countries; it is modifying the epidemiology of invasive pneumococcal diseases (IPD) in the population, including adults of all ages. The 10-valent pneumococcal conjugate vaccine is licensed for active immunization of infants and children from 6 weeks up to 2 years of age but it does not contain the emergent 19A serotype. The 13-valent pneumococcal conjugate vaccine is an evolution of the 7-valent and currently addresses the overall need for a broader serotypes coverage. Vaccine manufacturers must continue to further develop pneumococcal vaccines covering the majority of the circulating serotypes in all age groups. Vaccination appears to be the only public health action that could reduce the impact of IPD.
Economic evaluation of ASCOT-BPLA: antihypertensive treatment with an amlodipine-based regimen is cost effective compared with an atenolol-based regimen

Objective: To compare the cost effectiveness of an amlodipine-based strategy and an atenolol-based strategy in the treatment of hypertension in the UK and Sweden. Design: A prospective, randomised trial complemented with a Markov model to assess long-term costs and health effects. Setting: Primary care. Patients: Patients with moderate hypertension and three or more additional risk factors. Interventions: Amlodipine 5–10 mg with perindopril 4–8 mg added as needed or atenolol 50–100 mg with bendroflumethiazide 1.25–2.5 mg and potassium added as needed Main outcome measures: Cost per cardiovascular event and procedure avoided, and cost per quality-adjusted life-year gained. Results: In the UK, the cost to avoid one cardiovascular event or procedure would be €18 965, and the cost to gain one quality-adjusted life-year would be €21 875. The corresponding figures for Sweden were €13 210 and €16 856. Conclusions: Compared with the thresholds applied by NICE and in the Swedish National Board of Health and Welfare’s Guidelines for Cardiac Care, an amlodipine-based regimen is cost effective for the treatment of hypertension compared with an atenolol-based regimen in the population studied.
Records management outsourcing practices as a strategy for gaining competitive advantage: a perspective of petroleum and banking multinationals in Kenya

v LIST OF TABLES . xi LIST OF FIGURES . xii ACRONYMS AND ABBREVIATIONS . xiii CHAPTER ONE: INTRODUCTION . 1 1.1 Background of the Study . 1 1.1.1 Concept of International Business and Outsourcing Practices . 3 1.1.2 Concept of Competitive Strategy and Competitive Advantage . 5 1.1.3 Records Management . 6 1.1.4 Multi-National Companies (MNC’s) in Kenya . 8 1.1. 5 The Petroleum and Banking Industries in Kenya . 9 1.2 Research Problem . 10 1.3 Research Objectives . 12 1.4 Value of the Study . 12 CHAPTER TWO: LITERATURE REVIEW.14 2.
Assemble2: an interactive graphical environment dedicated to the study and construction of RNA architectures

Assemble2 is an interactive graphical environment allowing a biologist to easily realize top-down and bottom-up approaches targeting the study and the creation of large and intricate RNA architectures. It consists of several interconnected parts: (i) a Java graphical interface allowing to visualize and interactively modify RNA 2D structures, (ii) the 3D viewer UCSF Chimera and (iii) a set of web services wrapping algorithms predicting 2D and 3D RNA structures. Assemble2 has been used efficiently for the 3D modeling of several macromolecular complexes. Notably, it has been an essential part of the bioinformatics pipelines leading to the publication of high-resolution cryoEM structures of ribosomes for several eukaryotic organisms, from yeast to human [1][2][3].
Capital / labor substitution , capital deepening , and FDI

Empirical studies show that the elasticity of substitution between capital and labor is larger than one in developed countries but smaller in developing countries. This paper develops a production function which allows for this structure in the elasticity of substitution. The case of a falling real interest rate and capital deepening in the developed countries in the presence of FDI flows from the developed to the developing country is analyzed. It is shown that this structure in the elasticity of substitution can be responsible for a Ushaped relationship between the capital intensity of the developed country and the relative capital intensity of the developing country. This carries over to an inverted U-shaped relationship between the capital intensity of the developed country and FDI profitability.