Miracle-dz/UniFAR-FTUs huggingface dataset:
Heal Your Birth Heal Your Life: Tools to Transform Your Birth Experience and Create a Magical New Beginning

Heal Your Birth Heal Your Life: Tools to Transform your Birth Experience and Create a Magical New Beginning. Sharon King, 2015. Bristol, UK: SilverWood Books. ISBN: 978-1-78132-374-8In the perinatal world, there is much discussion about how deeply one's experiences in the womb, during birth, and postnatally can shape that individual's entire future. As we learn more and more about this seemingly inevitable trajectory, the questions about how best to address perinatal traumas become more pressing.Sharon King has written an extremely useful book about healing adverse perinatal experiences through a process she developed, called matrix birth reimprinting [MBR]. King writes that this process is based on Karl Dawson's matrix reimprinting, which was formulated on the quantum physics principle that there is a universal energetic field, called the matrix, which connects us all. Based on this theory, King writes that matrix reimprinting focuses on the views that our core beliefs are formed by experiences we have within the first six years of our lives, and that by energetically returning to those earlier times, tapping on specific acupressure points on the body, and reframing the view of the experience, limiting beliefs may be transformed.King writes that she has worked extensively with Dawson and matrix reimprinting, but that matrix birth reimprinting has its own unique aspects, and has become an internationally recognized treatment for perinatal trauma. King reports that one of the most powerful aspects of using MBR is that it helps to avoid re-traumatizing the client. This is achieved through the belief that a picture of challenging life experiences, or an ECHO (energetic consciousness hologram) is held subconsciously and unconsciously within the matrix, and that we can interact with, and then transform, the ECHO energetically, rather than using the human body as the vehicle to process the trauma.In Heal Your Birth, Heal Your Life, King describes in detail the emotional freedom techniques (EFT) protocol, created by Gary Craig, which is one of the foundational pieces of the MBR process. Through tapping on a specific series of acupressure points on the body, accompanied by certain verbal phrases, the emotional charge from challenging experiences may dissipate. However, King writes that unlike EFT, which works with the body, both MR and MBR work with the formed belief system outside of the body, bypassing any re-experience of stress and trauma that accompanied the adverse event. King writes that MR and MBR work effectively with ECHOs that were created by unexpected, dramatic, isolating experiences in which the client had no strategy to deal with the event; these are called UDINs. …
Towards a Biologically Inspired Question-Answering Neural Architecture

Though question-answering systems like IBM’s Watson are undoubtedly impressive, their errors are often baffling and inscrutable to onlookers, suggesting that the strategies they use are far different than those that humans employ. Desiring a more biologically inspired approach, we investigate the extent to which a neural network can develop a functional grasp of language by observing question/answer pairs. We present a neural network model that takes questions, as speech-sound sequences, about a visual environment, and learns to answer them with grounded predicate-based meanings. The model must learn to 1) segment morphemes, words, and phrases from the speech stream, 2) map the intended referents from the speech signal onto objects in the environment, 3) comprehend simple questions, recognizing what information the question is asking for, and 4) find and supply that information. Model evaluations suggest that the grounding and question-answering parts of the problem are significantly more demanding than interpreting the speech input.
Exploring “Sledging” and Interpersonal Emotion-Regulation Strategies in Professional Cricket

The present study examines cricketers’ perceptions of emotional interactions between competitors. Semistructured interviews with 12 male professional cricketers explored experiences (i.e., emotions, cognitions, behaviors) relating to incidents during competition where they or an opponent attempted to evoke an emotional reaction (e.g., sledging). Cricketers described their use of sledging as aggressive actions and verbal interactions with the aim of disrupting concentration and altering the emotional states of opponents. They described experiencing a variety of emotions (e.g., anxiety, anger) in response to opponents’ attempts at interpersonal emotion regulation; linguistic analyses indicated that both positive than negative emotions were experienced. A range of strategies in response to competitors’ deliberate attempts at interpersonal emotion regulation were outlined. The present study extends previous research investigating interpersonal emotion regulation within teams by indicating that professional cricketers are aware of the impact of cognitions and emotions on performance and attempt to negatively influence these factors in competitors.
Molecular Dynamics Applications on the IBM System Blue Gene Solution : Performance Overview

This IBM® System Blue Gene® Solution Applications Guide provides a brief overview of the performance characteristics of a selected set of computational chemistry applications. Classical Molecular Mechanics/Molecular Dynamics (MM/MD) are commonly used to simulate large biomolecules that cannot be treated with more accurate methods. This guide is intended to help applications users in computational chemistry area evaluate(? ) applications that are running on Blue
Speeding-up neural network training using sentence and frame selection

Training Artificial Neural Networks (ANNs) with large amounts of speech data is a time intensive task due to the intrinsically sequential nature of the back-propagation algorithm. This paper presents an approach for training ANNs using sentence and frame selection. The goal is to speed-up the training process, and to balance the phonetic coverage of the selected frames, trying to mitigate the classification problems related to the prior probabilities of the individual phonetic classes. These techniques, together with a three-step training approach and software optimizations, reduced by an order of magnitude the training time of our models.
Coverage path planning for marine habitat mapping

A framework for generating coverage paths for marine habitat mapping is proposed in this paper. The framework combines two existing coverage path planning algorithms with new ideas to provide automated, efficient survey paths that take into account the particularities of the application. On one hand, a recent algorithm especially targeted for marine environments is used to generate a survey path of a previously unmapped area. The method has the advantage of minimizing repeated coverage when using a surface vehicle or while surveying at constant depth with an underwater vehicle. On the other hand, only the regions where the marine habitat is present (which often come in the form of widespread “blobs”) need to be surveyed in future monitoring missions in the area. However, due to the changing nature of the marine habitats, determining the exact extent of those regions prior to mission is not possible. Rather than surveying the whole area anew, we propose to use a sensor-based planner that, given their approximate locations from a previous survey, covers the regions of interest (ROIs) on-line using acoustic or optical camera information. Additional procedures to generate a path that visits all the ROIs are provided. The approach is tested in simulation using a real-world bathymetric dataset and synthetic ROIs. Results show the feasibility of the proposed approach.
Road Infrastructure and Enterprise Development in Ethiopia

As a landlocked country with largely non-navigable rivers and literally no railway systems, road transport plays a critical role for the performance of the Ethiopian economy. A large scale public investment program, known as the Road Sector Development Program (RSDP), was implemented in Ethiopia over the period 1997-2010. In this paper we investigate whether the improvement in road infrastructure resulting from the RSDP has affected the patterns of entry of new manufacturing firms and the firm size of new entrants. Combining GIS based panel data on the road accessibility of towns with a unique panel of Ethiopian manufacturing firms for the period 1996-2009, we report econometric results indicating that better road access significantly increases a town's attractiveness for manufacturing firms. While towns with initially large number of firms continue to attract more firms, there is an underlying tendency toward convergence in the distribution of manufacturing firms, reducing the degree of geographic concentration. The results also indicate that firms entering isolated markets start with relatively smaller size as compared to entrants into well connected markets in terms of road infrastructure. We conclude that the improvements in the road infrastructure have had a favourable impact on the size and structure of the manufacturing sector in Ethiopia. for hosting his research visit in the summer of 2012 where he did some work on this project.
Hypermedia Process Modelling

As evidenced by the recent explosion of interest in the World Wide Web, the scope and complexity of hypermedia application are growing at a rapid rate. Despite this, the development of hypermedia applications is still largely ad hoc and poorly managed, often resulting in applications which are low quality and excessively expensive to develop and especially maintain. Although various hypermedia design models (such as HDM) and methods (such as RMM) have been developed, these have yet to be placed in the context of the overall development process, or to be widely adopted for commercial development. In this paper we consider the role of process modelling in improving this siutation. We look at problems with existing hypermedia development processes and the role which design tools, methods and models can play. We then go on to consider how descriptive process modelling can be used to model hypermedia development processes and subsequently identify potential flaws within these processes. This will in turn provide the mechanisms necessary for measuring and improving hypermedia development. The potential results are significantly more manageable, consistent and cost-effective development, and higher quality applications.
Recognizing emotions in dialogues with acoustic and lexical features

Automatic emotion recognition has long been a focus of Affective Computing. We aim at improving the performance of state-of-the-art emotion recognition in dialogues using novel knowledge-inspired features and modality fusion strategies. We propose features based on disfluencies and nonverbal vocalisations (DIS-NVs), and show that they are highly predictive for recognizing emotions in spontaneous dialogues. We also propose the hierarchical fusion strategy as an alternative to current feature-level and decision-level fusion. This fusion strategy combines features from different modalities at different layers in a hierarchical structure. It is expected to overcome limitations of feature-level and decision-level fusion by including knowledge on modality differences, while preserving information of each modality.
Exact Visual Hull From Marching Cubes

The marching cubes algorithm has been widely adopted for extracting a surface mesh from a volumetric description of the visual hull reconstructed from silhouettes. However, typical volumetric descriptions, such as an octree, provide only a binary description about the visual hull. The lack of interpolation information along each voxel edge, which is required by the marching cubes algorithm, usually results in inaccurate and bumpy surface mesh. In this paper, we propose a novel method to efficiently estimate the exact intersections between voxel edges and the visual hull boundary, which replace the missing interpolation information. The method improves both the visual quality and accuracy of the estimated visual hull mesh, while retaining the simplicity and robustness of the volumetric approach. To verify this claim, we present both synthetic and real-world experiments, as well as comparisons with existing volumetric approaches and other approaches targeting at an exact visual hull reconstruction.
Optimal Partitioning for Spatial

It is desirable to design partitioning techniques that minimize the I/O time incurred during query execution in spatial databases. In this paper, we explore optimal partitioning techniques for spatial data for diierent types of queries. In particular, we show that hexagonal partitioning has optimal I/O cost for circular queries compared to all possible non-overlapping partitioning techniques that use convex regions. For rectangular queries, we show that although for the special case when queries are rectilinear, rectangular grid partitioning gives superior performance, hexagonal partitioning has overall better I/O cost for a general class of range queries. We also discuss storage and retrieval techniques for hexagonal partitioning using current techniques for rectangular grid partitioning.
A robust adaptive controller for a DFIG wind turbine with grid voltage and frequency support

A robust adaptive nonlinear controller is designed for a Doubly-Fed Induction Generator (DFIG) wind turbine connected to a power grid. The controller main objective is to regulate the generator terminal voltage and rotor speed. A model based control design strategy is adopted. The controller structure and equations are obtained following a backstepping control design method using the DFIG reduced order model. Grid parameters are assumed unknown during the design. Therefore, the controller is provided with an adaptation module that automatically readjusts controller parameters when grid conditions change. Simulations are used to assess the proposed DFIG controller effectiveness.
Models of tree translation

This first chapter gives an introduction into the area of tree transducer theory, and describes the results presented in Chapters 2–6. The first section addresses general issues like translations, trees, and tree grammars. Section 2 is concerned with the different models of tree transducers that are considered in the thesis. It describes the typical problems that appear in tree transducer theory, and mentions important properties of the different tree transducer models. Section 3 describes the results of Chapters 2 and 3, Section 4 deals with Chapters 4 and 5, and Section 5 summarizes Chapter 6. Finally, Section 6 concludes by mentioning some additional results not included in this thesis.
Maintaining High-Bandwidth Under Dynamic Network Conditions

The need to distribute large files across multiple wide-area sites is becoming increasingly common, for instance, in support of scientific computing, configuring distributed systems, distributing software updates such as open source ISOs or Windows patches, or disseminating multimedia content. Recently a number of techniques have been proposed for simultaneously retrieving portions of a file from multiple remote sites with the twin goals of filling the client's pipe and overcoming any performance bottlenecks between the client and any individual server. While there are a number of interesting tradeoffs in locating appropriate download sites in the face of dynamically changing network conditions, to date there has been no systematic evaluation of the merits of different protocols. This paper explores the design space of file distribution protocols and conducts a detailed performance evaluation of a number of competing systems running in both controlled emulation environments and live across the Internet. Based on our experience with these systems under a variety of conditions, we propose, implement and evaluate Bullet' (Bullet prime), a mesh based high bandwidth data dissemination system that outperforms previous techniques under both static and dynamic conditions.
Increased biofilm formation ability in Klebsiella pneumoniae after short‐term exposure to a simulated microgravity environment

Biofilm formation is closely related to the pathogenetic processes of Klebsiella pneumoniae, which frequently causes infections in immunocompromised individuals. The immune system of astronauts is compromised in spaceflight. Accordingly, K. pneumoniae, which used to be isolated from orbiting spacecraft and astronauts, poses potential threats to the health of astronauts and mission security. Microgravity is a key environmental cue during spaceflight. Therefore, determining its effects on bacterial biofilm formation is necessary. In this study, K. pneumoniae ATCC BAA‐1705 was exposed to a simulated microgravity (SMG) environment. K. pneumoniae grown under SMG formed thicker biofilms compared with those under normal gravity (NG) control after 2 weeks of subculture. Two indicative dyes (i.e., Congo red and calcofluor) specifically binding to cellulose fibers and/or fimbriae were utilized to reconfirm the enhanced biofilm formation ability of K. pneumoniae grown under SMG. Further analysis showed that the biofilms formed by SMG‐treated K. pneumoniae were susceptible to cellulase digestion. Yeast cells mannose‐resistant agglutination by K. pneumoniae type 3 fimbriae was more obvious in the SMG group, which suggests that cellulose production and type 3 fimbriae expression in K. pneumoniae were both enhanced under the SMG condition. Transcriptomic analysis showed that 171 genes belonging to 15 functional categories were dysregulated in this organism exposed to the SMG conditions compared with those in the NG group, where the genes responsible for the type 3 fimbriae (mrkABCDF) and its regulator (mrkH) were upregulated.
Generating Test cases for Testing WEB sites through Neural Networks and Input Pairs

Pair-wise testing is a combinatorial test criterion technique based on specification, which requires each pair of input variables and every combination of their valid values should be covered by at least one test case. Pairwise test case generation is the process of producing a subset of all possible test cases that can test the system to a reasonable acceptance. Pairwise testing can be adapted when exhaustive testing is not possible or prohibitively expensive. Some of pairwise test techniques like AETG (Automatic Efficient Test Generator), IPO (In-Parameter Order), SBC (Simulated Bee Colony) etc. generate test cases by pairing the input variables. The methods generates the test cases which are less in number compared to total test cases that can be used to test the system exhaustively. These methods also take lesser time to generate the test cases. This paper proposes an artificial neural network (ANN) to generate optimized test cases based on the considerations of the pairs of input variables (Test pair generation). The method presented in this paper demonstrates that the test cases generated through associative mapping of test pairs to the neural network provides optimized solution when compared to other methods especially when test cases are generated to test a WEB applications. A tool called ANN-PTCG (Artificial Neural NetworkPair wise Test Case Generator) has been developed based on the method proposed in this paper. Test cases are generated for testing a WEB based application using ANN-PTCG and other similar pairwise testing methods which include AETG (Automatic Efficient 11820 Lakshmi Prasad Mudarakola et al Test Generator), IPO (In-Parameter Order), and SBC (Simulated Bee Colony). The number of test cases that are generated, the extent of coded covered and the amount of time taken to generate the test cases has been used to compare the ANN-PTCG with other related test case generation methods. It is seen that ANN-PTCG method is quite good compared to other methods due to generation of minimal test cases in less time and the test cases covering
Supporting social awareness @ work design and experience

During the last year we have been designing and studying a computer based tool intended to strengthen social group awareness within a research laboratory. While awareness has been a subject of previous research it is still unclear how it should be conceptualized and how it can be provided for a CSCW system. In order to investigate this, and hence to attempt to create a system that would gain acceptance in the user community, we have been using a mixture of user-centered and participatory design methods. This paper presents the design process, the resulting system as well as users’ comments on it. Based on all this, issues related to awareness are discussed and ideas for further studies are suggested.
Investigating positioning and gaze behaviors of social robots : people's preferences, perceptions, and behaviors

As technology advances, application areas for robots are no longer limited to the factories where they perform repetitive tasks behind fences. Robots are envisioned to provide services to us in everyday public spaces - in which they will encounter and interact with people. These types of robots can be considered as social robots, and should interact with people following the behavioral norms people expect of the robot within a specific context. Compared to interactions people have with social robots in homes and classrooms, interactions with guide robots in public spaces are likely to be of a more incidental nature and shorter duration. This makes it perhaps even more important that users immediately understand how to use the robot. And what intentions and messages the robot communicates. Given that people apply social rules when interpreting the behavior of media (such as computers and robots), we have investigated social norms for social robots; in particular the non-verbal behaviors of (interpersonal) distance and gaze. In this thesis we have investigated people's preferences for, perceptions of, and behaviors towards social robots through a series nine (lab and field) studies. The work presented in this thesis provides empirical and methodological contributions to the development of social robots in semi-public spaces. The research in this thesis shows that the behaviors of social robots that provide services such as wayfinding in public spaces (such as airports) should, to an extent, be designed in a human-like way. This thesis offers practical guidelines for designers and developers of social robots. Specifically in terms of which distance robots should keep from groups of people, and in which direction a robot should gaze when guiding (small) groups. The results of this thesis contribute toward the development of social robots in semi-public spaces. The behavior of social robots should suit the context of use. In order to design behaviors for future social robots it is necessary for HRI researchers to study people's interactions with robots in this context of use during the development cycle of a social robot.