LLukas22/scidocs huggingface dataset:
Computer Vision Using Local Binary Patterns

When there are many people who don't need to expect something more than the benefits to take, we will suggest you to have willing to reach all benefits. Be sure and surely do to take this computer vision using local binary patterns that gives the best reasons to read. When you really need to get the reason why, this computer vision using local binary patterns book will probably make you feel curious.
Fracture properties of geopolymer paste and concrete

Geopolymers are an emerging type of cementitious material purported to provide an environmentally friendly alternative to Portland cement-based concrete. This paper reports the results of experimental research on fracture properties (fracture energy and brittleness) of fly ash based geopolymer concrete and paste with various mix parameters. The characteristic length of the geopolymer concrete was approximately three times less than that of ordinary Portland cement (OPC) concrete, due to an increase in tensile splitting strength of about 28%, a decrease in elastic modulus of about 22% and a decrease in fracture energy of about 24%. The difference in characteristic length is similar to that reported between high-strength and normal-strength OPC concretes, indicating that the geopolymer concrete exhibits higher brittleness than its OPC counterpart. This trend was found to be consistent between pastes and concretes, implying that the difference between geopolymer and OPC concrete is due to the type of matrix formation (geopolymerisation or hydration). For geopolymer concretes made with different mix parameters, fracture properties are closely correlated to their compressive strength.
Botulinum A toxin as a treatment of detrusor-sphincter dyssynergia in patients with spinal cord injury: MRI controlled transperineal injections.

OBJECTIVES
To correlate clinical and urodynamic findings with MRI in patients with spinal cord injury and detrusor-sphincter dyssynergia who were consecutively treated with transperineal injections of botulinum-A toxin (BTX-A) under EMG control.


METHODS
Six patients with spinal cord injury and upper motor neuron bladder dysfunction associated with detrusor-sphincter dyssynergia were prospectively analysed. One hundred international units (IU) BTX-A (Botox in 1 ml normal saline without preservative) diluted 1 to 1 with 1 ml gadopentetate were injected transperineally under EMG control. MRI was started immediately after needle withdrawal.


RESULTS
In all six patients gadopentetate was located in the external urethral sphincter on MRI. In no patient did traces of gadopentetate appear in the perineal musculature located in the vicinity of the external urethral sphincter. No patient developed resistance to BTX-A. All patients showed an (ongoing) improvement of their voiding function after BTX-A injections.


CONCLUSIONS
Transperineal injections of BTX-A under EMG control are efficient in the release or amelioration of lower urinary tract obstruction due to detrusor sphincter dyssynergia in patients with spinal cord injury. Despite well described methods, EMG of the external urethral sphincter is difficult and it is not possible to definitively exclude false recordings of the surrounding perineal musculature. By the use of MRI it was shown that both the EMG recordings and transperineal injection method are precise.
Advances in Photopletysmography Signal Analysis for Biomedical Applications

Heart Rate Variability (HRV) is an important tool for the analysis of a patient’s physiological conditions, as well a method aiding the diagnosis of cardiopathies. Photoplethysmography (PPG) is an optical technique applied in the monitoring of the HRV and its adoption has been growing significantly, compared to the most commonly used method in medicine, Electrocardiography (ECG). In this survey, definitions of these technique are presented, the different types of sensors used are explained, and the methods for the study and analysis of the PPG signal (linear and nonlinear methods) are described. Moreover, the progress, and the clinical and practical applicability of the PPG technique in the diagnosis of cardiovascular diseases are evaluated. In addition, the latest technologies utilized in the development of new tools for medical diagnosis are presented, such as Internet of Things, Internet of Health Things, genetic algorithms, artificial intelligence and biosensors which result in personalized advances in e-health and health care. After the study of these technologies, it can be noted that PPG associated with them is an important tool for the diagnosis of some diseases, due to its simplicity, its cost⁻benefit ratio, the easiness of signals acquisition, and especially because it is a non-invasive technique.
Watershed merge tree classification for electron microscopy image segmentation

Automated segmentation of electron microscopy (EM) images is a challenging problem. In this paper, we present a novel method that utilizes a hierarchical structure and boundary classification for 2D neuron segmentation. With a membrane detection probability map, a watershed merge tree is built for the representation of hierarchical region merging from the watershed algorithm. A boundary classifier is learned with non-local image features to predict each potential merge in the tree, upon which merge decisions are made with consistency constraints to acquire the final segmentation. Independent of classifiers and decision strategies, our approach proposes a general framework for efficient hierarchical segmentation with statistical learning. We demonstrate that our method leads to a substantial improvement in segmentation accuracy.
What is wrong with this picture? : A critique of tendencies of reduction of educational theory within universities in Sweden

What is wrong with this picture? : A critique of tendencies of reduction of educational theory within universities in Sweden
One of a Kind: User Profiling by Social Curation

Social Curation Service (SCS) is a new type of emerging social media platform, where users can select, organize and keep track of multimedia contents they like. In this paper, we take advantage of this great opportunity and target at the very starting point in social media: user profiling, which supports fundamental applications such as personalized search and recommendation. As compared to other profiling methods in conventional Social Network Services (SNS), our work benefits from the two distinguishable characteristics of SCS: a) organized multimedia user-generated contents, and b) content-centric social network. Based on these two characteristics, we are able to deploy the state-of-the-art multimedia analysis techniques to establish content-based user profiles by extracting user preferences and their social relations. First, we automatically construct a content-based user preference ontology and learn the ontological models to generate comprehensive user profiles. In particular, we propose a new deep learning strategy called multi-task convolutional neural network (mtCNN) to learn profile models and profile-related visual features simultaneously. Second, we propose to model the multi-level social relations offered by SCS to refine the user profiles in a low-rank recovery framework. To the best of our knowledge, our work is the first that explores how social curation can help in content-based social media technologies, taking user profiling as an example. Extensive experiments on 1,293 users and 1.5 million images collected from Pinterest in fashion domain demonstrate that recommendation methods based on the proposed user profiles are considerably more effective than other state-of-the-art recommendation strategies.
Human factors involved in container terminal ship-to-shore crane operator tasks: operator fatigue and performance analysis at Cagliari Port

This paper is concerned with active safety and human factor aspects in maritime transport, in the specific case container terminals. In container handling safety optimization the human operator continues to play a central role and there are numerous sources of job stress that can lead to the serious risk of accidents. This paper aims to define, for the first time, a tool that is able to understand the cause of human error in port operations most exposed to fatigue-related risk. The first experimental performance curves have been constructed for crane operators in container terminals. A function has been constructed for crane operator performance under actual working conditions comparing subjective/perceived fatigue curves, developed using data drawn from a survey conducted among port workers at Cagliari Port, with performance curves for a number of crane operators at the container terminal, developed on the basis of productivity data. Furthermore it has been possibile to highlight the deviation between the productivity trend recorded by a container terminal operator and the actual performance curve disregarding idle time.
Generating model-based test cases from natural language requirements for space application software

Natural Language (NL) deliverables suffer from ambiguity, poor understandability, incompleteness, and inconsistency. Howewer, NL is straightforward and stakeholders are familiar with it to produce their software requirements documents. This paper presents a methodology, SOLIMVA, which aims at model-based test case generation considering NL requirements deliverables. The methodology is supported by a tool that makes it possible to automatically translate NL requirements into Statechart models. Once the Statecharts are derived, another tool, GTSC, is used to generate the test cases. SOLIMVA uses combinatorial designs to identify scenarios for system and acceptance testing, and it requires that a test designer defines the application domain by means of a dictionary. Within the dictionary there is a Semantic Translation Model in which, among other features, a word sense disambiguation method helps in the translation process. Using as a case study a space application software product, we compared SOLIMVA with a previous manual approach developed by an expert under two aspects: test objectives coverage and characteristics of the Executable Test Cases. In the first aspect, the SOLIMVA methodology not only covered the test objectives associated to the expert’s scenarios but also proposed a better strategy with test objectives clearly separated according to the directives of combinatorial designs. The Executable Test Cases derived in accordance with the SOLIMVA methodology not only possessed similar characteristics with the expert’s Executable Test Cases but also predicted behaviors that did not exist in the expert’s strategy. The key benefits from applying the SOLIMVA methodology/tool within a Verification and Validation process are the ease of use and, at the same time, the support of a formal method consequently leading to a potential acceptance of the methodology in complex software projects.
Treatment goal-planning: Outcome findings of a British prospective multi-centre study of adolescent inpatient units

A set of 16 treatment goals, related to 4 areas of adolescent functioning, were defined and employed in the initial and discharge assessments of 276 patients, admitted to 4 inpatient units, examined during a multi-centre prospective study of adolescent psychiatric hospitalisations. At discharge, subjects showed a substantial improvement across all treatment goals; least improvement was observed amongst those goals most frequently targeted. The clinical investigators consider the treatment goal definitions used in this study a meaningful way of measuring psychiatric disturbances in adolescence as well as a useful measure of change in an inpatient population. Further development of the treatment goal definitions would produce a robust clinical and audit tool. Un ensemble de 16 buts de traitement, reliés à 4 aires de fonctionnement de l'adolescent, furent définis et utilisés lors de l'évaluation d'entrée et de sortie de 276 patients, admis dans 4 unités d'hospitalisation et examinés pendant une étude prospective multi-centrique sur les hospitalisations psychiatriques d'adolescents. à la sortie les sujets montraient une amélioration substantielle de tous les objectifs de traitement; les moins bonnes améliorations ont été observées parmi les objectifs plus fréquemment recherchés. Les investigateurs cliniques considèrent les définitions d'objectifs de traitement utilisées dans cette étude comme un moyen privilégié de mesure des troubles psychiatriques à l'adolescence et comme une mesure utile du changement dans une population hospitalisée. Des développements ultérieurs de définition des objectifs de traitement pourraient fournir un outil clinique et d'audit solide. 16 Therapieziele, die sich auf vier für Jugendliche relevante Bereiche beziehen, wurden definiert und bei den Aufnahme- und Entlassungsuntersuchungen von 276 Patienten aus vier Kliniken während einer prospektiven multizentrischen Studie über stationäre psychiatrische Behandlungen bei Jugendlichen angewandt. Zum Entlassungszeitpunkt zeigten die Patienten eine wesentliche Besserung bei allen Therapieszielen; wobei die geringste Besserung wurde bei den am häufigsten angestrebten Zielen beobachtet. Die klinischen Untersucher betrachten die Definitionen der Behandlungsziele, die in dieser Studie angewandt wurden, als einen sinnvollen Ansatz zur Messung psychiatrischer Störungen in der Adoleszenz und zur Erfassung der Veränderungen bei stationären Patienten. Eine weitere Entwicklung der Definitionen von Behandlungszielen könnte ein solides klinisches und Prüfungsinstrument hervorbringen.
Eight Kinetically Stable but Thermodynamically Activated Molecules that Power Cell Metabolism.

Contemporary analyses of cell metabolism have called out three metabolites: ATP, NADH, and acetyl-CoA, as sentinel molecules whose accumulation represent much of the purpose of the catabolic arms of metabolism and then drive many anabolic pathways. Such analyses largely leave out how and why ATP, NADH, and acetyl-CoA (Figure 1 ) at the molecular level play such central roles. Yet, without those insights into why cells accumulate them and how the enabling properties of these key metabolites power much of cell metabolism, the underlying molecular logic remains mysterious. Four other metabolites, S-adenosylmethionine, carbamoyl phosphate, UDP-glucose, and Δ2-isopentenyl-PP play similar roles in using group transfer chemistry to drive otherwise unfavorable biosynthetic equilibria. This review provides the underlying chemical logic to remind how these seven key molecules function as mobile packets of cellular currencies for phosphoryl transfers (ATP), acyl transfers (acetyl-CoA, carbamoyl-P), methyl transfers (SAM), prenyl transfers (IPP), glucosyl transfers (UDP-glucose), and electron and ADP-ribosyl transfers (NAD(P)H/NAD(P)+) to drive metabolic transformations in and across most primary pathways. The eighth key metabolite is molecular oxygen (O2), thermodynamically activated for reduction by one electron path, leaving it kinetically stable to the vast majority of organic cellular metabolites.
Simulation of Industrial Manipulators Based on the UDU T Decomposition of Inertia Matrix

The UDUT – U and D are respectively the upper triangular and diagonal matrices – decomposition of the generalized inertia matrix of an n-link serial manipulator, introduced elsewhere, is used here for the simulation of industrial manipulators which are mainly of serial type. The decomposition is based on the application of the Gaussian elimination rules to the recursive expressions of the elements of the inertia matrix that are obtained using the Decoupled Natural Orthogonal Complement matrices. The decomposition resulted in an efficient order n, i.e., O(n), recursive forward dynamics algorithm that calculates the joint accelerations. These accelerations are then integrated numerically to perform simulation. Using this methodology, a computer algorithm for the simulation of any n degrees of freedom (DOF) industrial manipulator comprising of revolute and/or prismatic joints is developed. As illustrations, simulation results of three manipulators, namely, a three-DOF planar manipulator, and the six-DOF Stanford arm and PUMA robot, are reported in this paper.
A Parallel Algorithm for POMDP Solution

Most exact algorithms for solving partially observable Markov decision processes (POMDPs) are based on a form of dynamic programming in which a piecewise-linear and convex representation of the value function is updated at every iteration to more accurately approximate the true value function. However, the process is computationally expensive, thus limiting the practical application of POMDPs in planning. To address this current limitation, we present a parallel distributed algorithm based on the Restricted Region method proposed by Cassandra, Littman and Zhang [1]. We compare performance of the parallel algorithm against a serial implementation Restricted Region.
Impulse generator and lightning characteristics simulation using orcad PSpice software

Abstract—Lightning characteristics and standard impulse waveform are related to each other. But the lack of realization about the relation between them would make the solution to produce better protection against lightning surge becomes harder. atural lightning surge waveform has been compared to standard impulse waveform as evidence that there have similarity between them. The standard impulse waveform could be used to test the strength of electrical equipment against the lightning. Therefore designing and simulating the impulse generator are the purpose of this project beside to get better understanding about lightning characteristics. This project aims to develop an impulse generator circuit using OrCAD PSpice software to produce a lightning waveform according to IEC61000-4-5 standard. For this reason, Marx generator has been used as the main principle of the design with some parameters and components modifications. The output waveform from simulation was compared to IEC61000-4-5 surge standard, and the values in the developed circuit were adjusted so that the characteristics of the waveform are in acceptable limits. As the result, the correct lightning waveform in the form of voltage versus time has been generated from an impulse generator circuit OrCAD PSpice software. In the conclusion standard impulse waveform has been fulfilled and the value of each component used truly influence the resulted waveform. The lightning waveform can be used in further research such as determination of V-I characteristics of surge arresters and other lightning protection purposes.
Abstraction Benchmarks and performance of C++ applications

ion Benchmarks and performance of C++ applications Matthias Müller HLRS High Performance Computing Center Stuttgart Allmandring 30 D-70550 Stuttgart, Germany mueller@hlrs.de
Robotic Strong's procedure for the treatment of superior mesenteric artery syndrome. Description of surgical technique on occasion of the first reported case in the literature.

BACKROUND
Superior Mesenteric Artery Syndrome (SMAS) is a rare disorder caused by compression of the third portion of the duodenum by the SMA. Once a conservative approach fails, usual surgical strategies include Duodenojejunostomy and Strong's procedure. The latter avoids potential anastomotic risks and complications. Robotic Strong's procedure (RSP) combines both the benefits of a minimal invasive approach and also enchased robotic accuracy and efficacy.


METHODS
For a young girl who was unsuccessfully treated conservatively, the paper describes the RSP surgical technique. To the authors' knowledge, this is the first report in the literature.


RESULTS
Minimal blood loss, short operative time, short hospital stay and early recovery were the short-term benefits. Significant weight gain was achieved three months after the surgery.


CONCLUSION
Based on primary experience, it is suggested that RSP is a very effective alternative in treating SMAS.
Students' Conflicting Attitudes Towards Games as a Vehicle for Learning Mathematics: A Methodological Dilemma

Mathematics games are widely employed in school classrooms for such reasons as a reward for early finishers or to enhance students’ attitude towards mathematics. During a four week period, a total of 222 Grade 5 and 6 (9 to 12 years old) children from Melbourne, Australia, were taught multiplication and division of decimal numbers using calculator games or rich mathematical activities. Likert scale surveys of the children’s attitudes towards games as a vehicle for learning mathematics revealed unexpectedly high proportions of negative attitudes at the conclusion of the research. In contrast, student interview data revealed positive associations between games and mathematical learning. This paper reports on the methodological dilemma of resultant conflicting attitudinal data related to game-playing. Concerns arising from the divergence in the results are raised in this paper. Implications based on the experience of this study may inform educational researchers about future methodological choices involving attitudinal research.
FoodLog: Multimedia Tool for Healthcare Applications

FoodLog is a multimedia food-recording tool that offers a novel method for recording daily food intake primarily for healthcare purposes. Its novel use of image-processing techniques presents significant potential for the development of new healthcare monitoring apps.