Miracle-dz/UniFAR-FTUs huggingface dataset:
Therapeutic Taping of the Knee and Its Effect on Lower Quadrant Range of Motion and Strength

Objective: To investigate the effects of different taping techniques (no tape, placebo, Kinesiotape, Leukotape) on lower extremity range of motion (ROM) and strength. Design: Randomized, one group pre-test post-test design. Subjects: 10 healthy male and female university students. Methods: Participants completed four testing sessions randomly receiving different types of taping techniques. Hip, knee, and ankle ROM and strength were measured with and without tape. ROM and strength change scores were computed by subtracting pre-test from post-test scores. The data were analyzed using descriptive statistics and two way repeated measures ANOVAs. The rejection criteria were set at an alpha level < . 05. Results: Inferential statistics revealed a significant interaction effect between type of tape and movement type in relation to hip ROM change scores, F(15,135)=1.73, p=. 05; and significant interaction for type of tape and movement type in relation to knee ROM change scores, F(9,81)=3.92, p=. 0001. There was also a significant interaction effect between type of tape and movement type in relation to knee strength change scores (p=.028). Conclusions: Taping of the knee resulted in reduced hip and knee mobility. The application of Leukotape reduced knee ROM more and should be considered when choosing a type of tape. Taping affected knee strength but there was not a consistent difference between the types of tape used.
Application of EMG and Force Signals of Elbow Joint on Robot-assisted Arm Training

Flexion-extension based on the system's robotic arm has the potential to increase the patient's elbow joint movement. The force sensor and electromyography signals can support the biomechanical system to detect electrical signals generated by the muscles of the biological. The purpose of this study is to implement the design of force sensor and EMG signals application on the elbow flexion motion of the upper arm. In this experiments, the movements of flexion at an angle of 45o, 90o and 135o is applied to identify the relationship between the amplitude of the EMG and force signals on every angle. The contribution of this research is for supporting the development of the Robot-Assisted Arm Training. The correlation between the force signal and the EMG signal from the subject studied in the elbow joint motion tests. The application of sensors tested by an experimental on healthy subjects to simulating arm movement. The experimental results show the relationship between the amplitude of the EMG and force signals on flexion angle of the joint mechanism for monitoring the angular displacement of the robotic arm. Further developments in the design of force sensor and EMG signals are potentially for open the way for the next researches based on the physiological condition of each patient.
Transferability of Neural Network Approaches for Low-rate Energy Disaggregation

Energy disaggregation of appliances using non-intrusive load monitoring (NILM) represents a set of signal and information processing methods used for appliance-level information extraction out of a meter’s total or aggregate load. Large-scale deployments of smart meters worldwide and the availability of large amounts of data, motivates the shift from traditional source separation and Hidden Markov Model-based NILM towards data-driven NILM methods. Furthermore, we address the potential for scalable NILM roll-out by tackling disaggregation complexity as well as disaggregation on houses which have not been ’seen’ before by the network, e.g., during training. In this paper, we focus on low rate NILM (with active power meter measurements sampled between 1-60 seconds) and present two different neural network architectures, one, based on convolutional neural network, and another based on gated recurrent unit, both of which classify the state and estimate the average power consumption of targeted appliances. Our proposed designs are driven by the need to have a well-trained generalised network which would be able to produce accurate results on a house that is not present in the training set, i.e., transferability. Performance results of the designed networks show excellent generalization ability and improvement compared to the state of the art.
Hermeneutika Al-Qur'an dan Debat Tafsir Modern: Implementasinya dengan Masa Kini

The interpretation of the Quran which triggered controversial themes in the post-modern era is now an interesting study to be studied. As in this paper, hermeneutics as a new method of interpretation that emerged in Ancient Greece has become part of the interpretation method of the Quran. From this arises a debate over the emergence of the hermeneutical method if applied to the Quran. Will the hermeneutic approach be used in the interpretation of the Quran? How does hermeneutics answer the modern interpretation debate? From this question, the author examines some views on hermeneutics among interpreters, accompanied by the interpretation of several controversial themes that occur in modern societies. Through this paper, it will be seen that, the knowledge that continues to be a reformer in the modern era is something that should not be excluded or rejected. With the aim of scientific upgrading, it is increasingly evolving in time and places, but from that it does not forget the old traditions of returning to the Quran and Hadith. Keywords: Hermeneutics, Alquran, Modern Interpretation.
Digital Twin in Industry: State-of-the-Art

Digital twin (DT) is one of the most promising enabling technologies for realizing smart manufacturing and Industry 4.0. DTs are characterized by the seamless integration between the cyber and physical spaces. The importance of DTs is increasingly recognized by both academia and industry. It has been almost 15 years since the concept of the DT was initially proposed. To date, many DT applications have been successfully implemented in different industries, including product design, production, prognostics and health management, and some other fields. However, at present, no paper has focused on the review of DT applications in industry. In an effort to understand the development and application of DTs in industry, this paper thoroughly reviews the state-of-the-art of the DT research concerning the key components of DTs, the current development of DTs, and the major DT applications in industry. This paper also outlines the current challenges and some possible directions for future work.
Reference in the Borderline of Space and Discourse: a Free Production Experiment in Estonian, Finnish and Russian

This study explores spatial reference in three different languages: Estonian, Finnish and Russian. We concentrate on the use of demonstratives (i.e. pronouns and adverbs), and the association between the demonstrative pronoun system (i.e. twoand three-term system) and the use of other referential devices (e.g. noun phrases and third person pronouns). More specifically, we test the influence of the distance of the referent from the speaker and change in the deictic field on the use of demonstratives. We show using a free production experiment that the use of demonstratives has a different susceptibility to these factors in different languages. Furthermore, in these languages, there is an association between the elaborateness of the demonstrative pronoun system and the use of other referential devices.
Instrument Development: Examining the Appropriateness of Student and Teacher Surveys for Determining the Need for Testing Accommodations. Technical Report #31.

This technical report documents the procedures followed in developing student and teacher surveys to gather information about the accommodations students are accustomed to receiving and those that might be beneficial on a mathematics test delivered on the computer. It provides documentation of the technical adequacy of the survey instruments, as part of the larger effort to develop and validate our computerized accommodations recommendation and delivery system. Information is provided about the process we used to gather content-related validity evidence and revise the measures. Data from the content review and piloting procedures are presented. Logistical guidance for other researchers piloting survey instruments is provided.
Data-driven and Context-aware Process Provisioning

Business process provisioning involves the allocation of resources (people, technology, or information) to process tasks in order to optimally realize the goals of the process. Resource allocation or task allocation refers to matching the right resource(s) to a task. The allocation of resources to process tasks can have a significant impact on the performance (such as cost, time) of those tasks, and hence of the overall process. While the problem of optimal process provisioning is hard, process execution logs or event logs contain rich information about the task, resource and process outcome. Past resource allocation decisions, when correlated with process execution histories annotated with quality of service (or performance) measures, can be a rich source of knowledge about the best resource allocation decisions. This dissertation offers a number of different approaches to support data-driven business process provisioning. In complex and knowledge intensive processes and services, human process participants (resources) often play a critical role. Process execution data from a range of sources suggest that human workers with the same organizational role and capabilities can have heterogeneous efficiencies based on their operational context. This dissertation investigates the variation in resource efficiencies with varying case attributes (or process instance attributes), using a log of past execution histories as the evidence base, also demonstrating how data-driven techniques can serve as the basis for methodological guidelines for effective dispatching and staffing policies required to meet the contractual service levels (quality) of the service system and the business process. This evidence bases also suggests that the optimality of resource allocation decisions is not determined by the process instance alone, but also by the context in which these instances are executed. Current approaches on resource allocation have not considered process context, case attributes and resource efficiency together. In this dissertation, a context model that considers resource behaviors is defined to support process provisioning. A range of approaches are proposed to support different dispatching scenarios such as pull-based dispatching and push-based dispatching. These methods use the process context, resource context as well as the functional goals and Quality of Service (QoS) requirements of past process executions to derive
Community Detection in Signed Networks Based on the Signed Stochastic Block Model and Exact ICL

There has been an increasing interest in detecting community in signed networks because signed networks contain more information (both positive and negative edges) than unsigned networks (only positive edges). Many methods have been proposed to find communities in signed networks; however, most of them can be regarded as the discriminative methods that do not concern with how the signed networks are generated so that they are usually difficult to characterize accurately the intrinsic community structure. The existing method SSL which is based on a generative model can achieve high accuracy in community detection in signed networks. However, SSL needs to estimate the models in the possible space one by one, which requires a large amount of calculation. In view of this, we propose a method to find community in signed networks, in which the exact integrated complete data likelihood (ICLex) for the signed stochastic block model proposed in SSL is derived and a greedy search is employed to optimize the value of the derived ICLex for signed networks to find communities. Our method has a rigorous probabilistic interpretation and does not need to estimate the models one by one from the possible space. The knowledge on hyper-parameters of our model is not necessary. In the experiments, the proposed method is tested on the synthetic and real-world networks and compared with several current methods. The experimental results show that our method can find the communities in signed networks more accurately than these current methods and more efficiently than SSL.
Reducing throughput time until chemotherapy treatment

This research serves to determine the capacities required to start with neoadjuvant chemotherapy treatment for breast cancer patients within two weeks after arrival. Between the moment of arrival and the first chemotherapy treatment, a number of appointments is required to be performed. Waiting times for individual appointments are fluctuating, causing the average throughput time to be near three weeks. In order to improve the performance, our approach is focused on time slots. Through a combination of a queuing model and computer simulation, the performance of different numbers of time slots is analyzed. Subsequently, the configurations are modified by means of heuristics. Feasible solutions are found for both current arrivals and future scenarios. The effect of various utilization rates and different time slots allocations are analyzed. Recommendations are given for implementation of the findings.
An Extension of the Jeu de Taquin

The Knuth transformations on words, the jeu de taquin moves on tableaux, and the Robinson–Schensted–Knuth algorithm produce the same equivalence classes for words. By observing the connections between these three methods we find and prove there exists connections between the Assaf–Knuth transformations, our extension of the jeu de taquin, and p-RSK. We know there exists an algebraic way to expand Macdonald polynomials in terms of the Schur functions. The form of the expansion implies there should be a combinatorial way to find the expansion. Loehr found a Robinson–Schensted–Knuth like algorithm that works in some cases. By finding an extension of jeu de taquin, we will try to expand the number of cases covered.
Efficient Bottom-Up Discovery of Multi-scale Time Series Correlations Using Mutual Information

Recent developments in computing and IoT technology have enabled the daily generation of enormous amounts of time series data. These time series have to be analyzed to create value. A fundamental type of analysis is to find temporal correlations between given sets of time series. To provide a robust method for solving this problem, several properties are desirable. First, the method should have a strong theoretical foundation. Second, since temporal correlations can occur at different temporal scales, e.g., sub-second versus weekly, it is important that the method is capable of discovering multitemporal scale correlations. Finally, the method should be efficient and scalable. This paper presents an approach to search for synchronous correlations in big time series that displays all three properties: the proposed method (i) utilizes the metric of mutual information from information theory, providing a strong theoretical foundation, (ii) is able to discover correlations at multiple temporal scales, and (iii) works in an efficient, bottom-up fashion, making it scalable to large datasets. Our experiments verify that the proposed approach can identify various types of correlation relations across multiple temporal scales, while achieving a performance of an order of magnitude faster than the state-of-the-art techniques.
Adhering to Medical Advice: A Review

have brought us drugs with demonstrated efficacy in the management of many diseases. Yet even in areas in which we have relative certainty that we can prevent or manage various disorders, people often do not follow the recommended course of action. It is a modest percentage of patients who heed medical advice. Even when it comes to just keeping patients in treatment, that is, to their appearing for scheduled appointments, the failure rate averages 20%50% (Dunbar & Stunkard, 1979). In the area of treatment, 20% -80% of patients make errors in taking their medications; and 25% -60% stop taking their medications well before it is therapeutically desirable to do so (Dunbar & Stunkard, 1979). Life-style modifications fare no better: 20%-80% of patients drop out of weightmanagement programs, and as many as 90% -9 5% of those in such programs fail to achieve a desirable weight (Dunbar & Stunkard, 1979). Efforts to stop smoking also do poorly; indeed, the success rate seems to be somewhat like that for the treatment of alcoholism or heroin addiction. Of people who have embarked on a smoking reduction program, up to 75% have resumed smoking six months after they quit (Best & Block, 1979). Data on
Estudio de la evolucion de sistemas dinamicos clasicos y cuanticos utilizando metodos algebraicos

En la primera parte de la Memoria se elabora una nueva tecnica para obtener integradores simplecticos (Tecnica del Procesado). Se lleva a cabo un estudio de sus propiedades y se dan explicitamente integradores de sexto orden. Se realiza una aplicacion a Hamiltonianos cuadraticos en energia cinetica y a Hamiltonianos cuasi-integrables. La eficiencia resulta ser superior a la de los metodos de integracion existentes. En la segunda parte se estudian los desarrollos no-perturbativos de Magnus y de Fer. Estos, proporcionan aproximaciones analiticas de la solucion de sistemas de ecuaciones diferenciales lineales. Se obtiene una cota inferior al radio de convergencia de los desarrollos. Ademas se elabora la posibilidad de utilizar estos desarrollos como integradores numericos eficientes. Finalmente se lleva a cabo una aplicacion de los resultados a sistemas de Mecanica Cuantica.
Zen and the art of parameter estimation in systems biology

ed appropriately, the specific form of a mathematical model is irrelevant insofar as the numerical optimization of the cost function is concerned, as long as it can evaluate the least-squares deviation of a model from data for a given set of parameters θ . Optimizing an arbitrary nonlinear function of a set of variables is a widespread problem throughout all of science, and accordingly, much algorithmic and development work has been devoted to producing numerical tools capable of carrying out this essential computational task. Numerical optimization is something of an art: there is a vast set of different algorithms that one might possibly make use of, and determining which is most appropriate for a given problem can require a bit of experimentation. Perhaps the most relevant distinguishing feature among different algorithms are those that are capable of identifying global optima and those that make do with finding local optima. In some cases, there can be
3D Modeling by thermography for nondestructive analysis of archaeological heritage

Nowadays, the law define as "cultural heritage" a big amount of artifacts. It is immense and in continuous expansion.The need to know as much as possible about the goods and to maximize its duration while maintaining its integrity and its accessibility to the public, has led to the search for increasingly effective solutions to fulfill the purpose. Thermographic analyses are fundamental to determine the insulating and thermo-absorbing capacities of the constituent elements and the position of structural elements not otherwise identifiable to the naked eye. The operation of the Thermographic camera is based on the material’s ability to absorb and release heat. The instrument generates maps in different colors that associate a corresponding color with a detected temperature.The present note describes the methodology for the realization of a thermical three-dimensional photogrammetric model, realized with infrared images applied to archaeological assets.The 3D modeling is based on the combined use of imaging techniques as digital photogrammetry and computer vision. RÉSUMÉ. De nos jours, la loi définit une grande quantité d'objets artisannaux comme "patrimoine culturel". Cela est immense et en expansion continue.Le besoin de savoir autant que possible sur le bien et de maximiser sa durée en maintenant son intégrité et son accessibilité au public a conduit à rechercher des solutions de plus en plus efficaces pour atteindre cet objectif.Les analyses thermographiques sont fondamentales pour déterminer les capacités isolantes et thermo-absorbantes des éléments constitutifs et la position des éléments structurels non autrement identifiables à l'œil nu.Le fonctionnement de la caméra thermographique est basé sur la capacité des corps à absorber et à libérer de la chaleur. L'instrument génère des cartes de différentes couleurs qui associent une couleur correspondante à une température détectée. La présente note décrit la méthodologie pour la réalisation d'un modèle photogrammétrique tridimensionnel, réalisé à l'aide d'images infrarouges appliquées aux biens archéologiques. La modélisation 3D est basée sur l'utilisation combinée de techniques d'imagerie comme la photogrammétrie numérique et la vision par ordinateur.
Performance Evaluation of Feature Selection Algorithms Applied to Online Learning in Concept Drift Environments

Data streams are transmitted at high speeds with huge volume and may contain critical information need processing in real-time. Hence, to reduce computational cost and time, the system may apply a feature selection algorithm. However, this is not a trivial task due to the concept drift. In this work, we show that two feature selection algorithms, Information Gain and Online Feature Selection, present lower performance when compared to classification tasks without feature selection. Both algorithms presented more relevant results in one distinct scenario each, showing final accuracies up to 14% higher. The experiments using both real and artificial datasets present a potential for using these methods due to their better adaptability in some concept drift situations.
Plantar arch type and strength profile of the major ankle muscle groups: A morphometric-isokinetic study

Purpose: To determine the effect of foot arch structure on ankle muscle strength. Methods: Forty-seven young female volunteers (94 feet) were classified in to low'(LA), high (HA) and normal (NA) arch groups according to their arch ratio (AR) and Chippaux-Smirak index (CSI) values. The distribution of the participants among LA, HA and NA groups did not differ when AR or CSI was preferred for classification. Isokinetic muscle strength of ankle invertor/evertors and plantar/dorsal flexors was measured by using an isokinetic dynamometer. One-way ANOVA, Pearson correlation test and ROC curve analysis were used in statistical analyses. Results: A strong correlation was found between AR and CSI values. Significant differences were found in mean strength measurements of ankle muscles in favor of NA group at 120°/s for dorsiflexion and plantar flexion, 120 and 150°/s for eversion and at 120°/s for the ratio between ankle inversion and eversion. Sensitivity and specificity rates of muscular strength as an indicator of arch anomalies were low. Conclusion: Normal arched individuals have higher muscular strength values only at faster testing speeds.