Miracle-dz/UniFAR-FTUs huggingface dataset:
Adaptive robot mediated upper limb training using electromyogram-based muscle fatigue indicators

Studies on improving the adaptability of upper limb rehabilitation training do not often consider the implications of muscle fatigue sufficiently. In this study, electromyogram features were used as fatigue indicators in the context of human-robot interaction. They were utilised for auto-adaptation of the task difficulty, which resulted in a prolonged training interaction. The electromyogram data was collected from three gross-muscles of the upper limb in 30 healthy participants. The experiment followed a protocol for increasing the muscle strength by progressive strength training, that was an implementation of a known method in sports science for muscle training, in a new domain of robotic adaptation in muscle training. The study also compared how the participants in three experimental conditions perceived the change in task difficulty levels. One task benefitted from robotic adaptation (Intervention group) where the robot adjusted the task difficulty. The other two tasks were control groups 1 and 2. There was no difficulty adjustment at all in Control 1 group and the difficulty was adjusted manually in Control 2 group. The results indicated that the participants could perform a prolonged progressive strength training exercise with more repetitions with the help of a fatigue-based robotic adaptation, compared to the training interactions, which were based on manual/no adaptation. This study showed that it is possible to alter the level of the challenge using fatigue indicators, and thus, increase the interaction time. The results of the study are expected to be extended to stroke patients in the future by utilising the potential for adapting the training difficulty according to the patient’s muscular state, and also to have a large number repetitions in a robot-assisted training environment.
IRON SUPPLEMENTATION IN TREATMENT OF CHILDREN WITH LOW RESPIRATORY INFECTION AND IRON DEFICIENCY ANEMIA

Gonchar M. , Ischenko T. , Tyshko A. , Orlova N. , Saenko V. , Bondar O.Upper respiratory tract infections as well as bronchitis and pneumonia are most common causes for hospitalization of children. Younger children are more predisposed to these problems and its complications. Anemia is one of the most common comorbidity of this pathology. We analyzed 52 case histories of children diagnosed with pneumonia and deficiency anemia. The study evaluated presentation, history, clinical and laboratory data. Our results suggest that ferrotherapy helps with acceleration of low respiratory tract infections’ symptomsKey words: low respiratory tract infection, anemia, children, iron supplement РезюмеРоль ферротерапії в лікуванні дітей із інфекціями нижніх дихальних шляхів та залізодефіцитною анемієюГончарь М. , Іщенко Т. , Тишко А. , Орлова Н. , Саєнко В. , Бондарь О. Інфекція верхніх дихальних шляхів, а також бронхіти та пневмонії є найбільш частим чинником лікування дітей в лікарняних установах. Чим молодша дитина, тим частіше ці захворювання виникають, і тим важче ускладнення. Анемія є одним з найбільш розповсюджених станів, що співіснують із даною патологією. Нами було проаналізовано 52 історії хвороби дітей з діагнозом пневмонія і дефіцитна анемія. Дослідження оцінювало скарги, дані анамнезу та результати клініко-лабораторних обстежень. Отримані дані свідчать про те, що проведеня ферротерапії сприяє редукції симптомів інфекції нижніх дихатльних шляхів у дітей. Ключові слова: інфекція нижніх дихальних шляхів, анемія, діти, ферротерапия РезюмеРоль ферротерапии в лечении детей с инфекциями нижних дыхательных путей и железодефицитной анемией Гончарь М. , Ищенко Т. , Тышко А. , Орлова Н. , Саенко В. , Бондарь О. Инфекции верхних дыхательных путей, а также бронхиты и пневмонии является наиболее частой причиной лечения детей в больничных учреждениях. Чем младше ребенок, тем чаще эти заболевания возникают, и тем тяжелее осложнения. Анемия является одним из самых распространенных состояний, сопутствующих данной патологии. Нами было проанализировано 52 истории болезни детей с диагнозом пневмония и дефицитная анемия. Исследование включало анализ жалоб, анамнеза, клинико-лабораторных данных. Полученные данные свидетельствуют в пользу того, что проведение ферротерапии способствует ускорению редукции симптомов инфекции нижних дыхательных путей у детей. Ключевые слова: инфекция нижних дыхательных путей, анемия, дети, ферротерапия.
Detection of proepileptic activity patterns in EEG of WAG/Rij rats

In this paper we study speciifc oscillatory patterns of proepileptic activity on EEG signals of WAG/Rij rats. These patterns occur during the development of absence-epilepsy before fully-formed epileptic seizures. In the paper we analyze EEG signals of WAG/Rij rats with continuous wavelet transform to find particular features of proepileptic patterns in time-frequency domain. Then we develop new method for automated detection of proepileptic activity on EEG signals. We analyze results of method's performance and its efficiency.
An Analytical Model for Dynamic Resource Allocation Framework in Cloud Environment

Cloud computing has emerged as the most popular paradigm for on-demand, pay-per-use model of computing. The software, platform and infrastructure as a service model will become the most popular mode of getting computing resources by common users. There has been growing research interest in managing the cloud of resources so as to achieve optimum utilization of resources along with desired quality of service. In the present scenario there is much scope of research in mapping users’ request to appropriate servers in cloud computing environment. In this paper, the authors propose an analytical model that maps dynamic users’ request to physical servers in the cloud that is based on a fixed charge mutli-index transportation problem. Thus a multi-index transportation Problem Cloud Resource Scheduler (MTPCRS) mechanism with mathematical formulation is developed along with a numerical example. A Multi- Indexed Cloud Resource Scheduling Algorithm (MICRSA) is also given in order to calculate the total cost of processing the service requests. With the help of sequence diagram and business process diagram it is shown that the model is simple to implement and produces an efficient and cost effective resource allocation plan for satisfying users’ requests.
An Analysis of Stress in Undergraduate Nursing Students at the University of Maine

Prolonged stress has shown a direct correlation to negative health outcomes. College students are amongst the population of individuals who experience chronic stress due to a variety of factors (e.g. heavy course load, pressures to succeed, and a new environment and social setting). Nursing students in particular are exposed to considerable stress as they face these same stress triggers as other college majors in addition to the strict pass/fail guidelines, clinical experience, and the pressures of life or death experiences when working in the health field. Knowing that stress has a profound impact on health and well-being, nursing students should be offered interventions, tools, and specific measures to relieve the stress they experience as undergraduate students working towards their degree. When comparing sophomore-level (predominantly second-year) and seniorlevel (predominantly fourth-year) undergraduate nursing students at the University of Maine, it was found that the sophomores had higher levels of perceived stress, emotional exhaustion, and cynicism in comparison to seniors. It is essential that nursing faculty target interventions to reduce stress at each level of the nursing program in order to combat the stressors that these students face and provide an environment that enhances learning and facilitates growth as the students continue with their education.
Clinical uses of melatonin: evaluation of human trials on cancer treatment.

Melatonin is a molecule with numerous properties, which are applicable to the treatment of different types of cancers. Experimental in vitro and in vivo studies conducted with human cancer cells or animal models of carcinogenesis, have shown that melatonin enhances apoptosis and inhibits cell proliferation of several human cancer cells, reduces tumor growth rate and its metastases, reduces the side effects of chemotherapy and radiotherapy, decreases the resistance to standard cancer treatments, and potentiates the therapeutic effects of other conventional therapies. These satisfactory results obtained from “bench” need to be studied in clinical trials to verify whether they are applicable to “bedside”. In this article we review the clinical trials carried out in the last 25 years which are focused on the therapeutic use of melatonin in cancer treatment. We conclude that melatonin is an effective adjuvant drug to practically any conventional cancer therapy since it is capable of improving the quality of life of patients, by normalizing sleep and alleviating general symptoms associated with tumor disease and treatment such as pain, asthenia, anorexia, etc. In the particular case of hormone-dependent breast cancer, melatonin's antiestrogenic properties make this indoleamine ideally suited for use in association with other synthetic anti-estrogen agents, as melatonin increases their efficacy while reducing their undesirable effects. Furthermore, melatonin could be an appropriate co-treatment for preventive treatment of breast cancer in people with elevated risk for this kind of neoplasia.
Relocation Analysis of Stabilizing MAC Algorithms

Abstract: Throughput is a basic measure for communication eciency. It is dened as the average 6 fraction of time that the channel is employed for useful data propagation. This work considers the 7 problem of analytically estimating the throughput of protocols for media access control (MAC) in mobile 8 ad hoc networks (MANETs). The dynamic and dicult to predict nature of MANETs complicates the 9 analysis of MAC algorithms. We use simple extensions to the interleaving model and evolving graphs, 10 for dening the settings that model the location of mobile nodes. 11 This work improves the understanding on impossibility results, the possible trade-os and the analysis 12 of fault-tolerant algorithms in MANETs. As the rst result in the paper and as motivation for the ones 13 that follow, we show that there is no ecient deterministic MAC algorithm for MANETs. Moreover, we 14 prove a lower bound of the throughput in the radical settings of complete random relocation between 15 every two steps of the algorithm. The lower bound matches the throughput of a strategy that is oblivious 16 to the history of broadcasts. 17 Subsequently, we focus on the analysis of non-oblivious strategies and assume a bound on the rate 18 by which mobile nodes relocate, i.e., randomly changing their neighborhoods. Our analysis is the rst to 19 demonstrate a novel throughput-related trade-o between oblivious and non-oblivious strategies of MAC 20 algorithms that depends on the relocation rate of mobile nodes. We present a non-oblivious strategy 21 that yields a randomized, fault-tolerant algorithm that can balance between the trade-os. The studied 22
Ant Colony Optimization: A Modified Version

Antnet is an agent based routing algorithm based on real ants' behavior. In real life, ants drop some kind of chemical substances to mark the path that they used. Then on their way back they choose the path with the highest pheromones which becomes the shortest path. Ants in antnet algorithm are used to collect traffic condition and are used to update probabilistic routing tables based on the collected information. But Antnet Algorithms may cause the network congestion and stagnation. Here, some special type of ants called clone ants is proposed which is able to produce multiple mutually exclusive optimal paths as compared to single optimal path in original antnet routing by introducing a little overhead. This proposed modified algorithm optimizes the antnet routing by a better throughput.
On the robustness of random and pseudo-random graphs

Over the past half century, the theory of random graphs has gone through an explosive growth in interest, making it one of the main research areas in modern Combinatorics. This theory, which demonstrates an intriguing interplay between classical Graph Theoretical concepts and discrete Probability Theory, has grown to be quite mature so that the structure of a “typical” random graph is quite well understood. The main concern of this thesis is the robustness of random graphs with respect to many natural graph properties. One can formulate this as the meta-question “How much can a typical random graph be modified and still retain some of its natural random-like properties? ”. In this thesis we address this question in the most natural settings. The random graph models which we study are the binomial random graph model G(n, p), the random regular graph model Gn,d and the random graph process. These three models have been quite extensively studied and provide an impressive body of knowledge one can build upon. Our research is yet another building block in our understanding of these intriguing models. The graph properties which we wish to explore are connectivity, containment of a perfect matching, Hamiltonicity, and vertex-expansion. The main results of this thesis are separated into three main chapters, where in each chapter we study a different modification process of the randomly generated graph. The first model is that of vertex percolation on random regular graphs. In this model, vertices are deleted uniformly and independently at random from the base graph, and one is interested in understanding the structure of the remaining graph. We prove a precise threshold for the probability of deletion so that the largest connected component of the remaining graph still contains expansion properties. The second model comes from the theory of Positional games. We study Maker-Breaker games played on the edge set of a graph sampled from the random regular graph model and from the random graph process, and provide exact results to when the base graph is typically a winning graph for Maker for the aforementioned graph properties. The third model we study is that of local resilience. In this model we let an adversary delete edges of the base graph, but pose a restriction on the maximum degree of the deleted subgraph. We study the local resilience of both the binomial random graph model and that of the random regular graph model.
Combining fuzzy clustering and fuzzy inferencing in information retrieval

We present an integrated approach to information retrieval which combines fuzzy clustering and fuzzy inference techniques in order to achieve optimal retrieval performance. To capture the relationships among index terms, fuzzy logic rules are used. We adapt several fuzzy clustering methods to the task of clustering documents with respect to the index terms. The clusters generated provide a basis for building the fuzzy logic rules. The clusters can also be used to form hyperlinks between documents. The fuzzy logic rules are applied with fuzzy inference to derive useful modifications of the initial query, which will guide the search for relevant documents. Alternative ways to use the fuzzy clusters are explored in this work as well. Our method combines fuzzy clustering and fuzzy inference with traditional relevance feedback approach for retrieval. The advantage of this approach is the emphasis on semantic information which relates the terms through the fuzzy clusters and fuzzy rules. A series of experiments have been conducted in order to validate this approach; a description of those experiments along with the results are presented.
UAV-BASED OBLIQUE PHOTOGRAMMETRY FOR 3D RECONSTRUCTION OF TRANSMISSION LINE: PRACTICES AND APPLICATIONS

Abstract. Regular inspection of transmission line is an essential work to ensure reliable supply and distribution of electric power. Considering that the conventional time consuming and economic inefficient methods can not satisfy new coming demands, an inspection strategy is proposed in this study, which aims to achieve off-site visual inspection instead of in-site inspection. The most challenging task is 3D model reconstruction of transmission line. Therefore, based on oblique imaging technique and the flexibility of UAV platforms, an UAV-Based oblique photogrammetric system is designed and manufactured for data acquisition of transmission line. The system integrates a dual-camera imaging system, an onboard GNSS (Global Navigation Satellite System) receiver and a ground fixed GNSS station. Beside, using open-source and commercial software packages, a data processing pipeline is also proposed for 3D model reconstruction. The experimental results demonstrate that the UAV-based oblique imaging system could obtain images of power pylons in four different directions and provides enough information for the successful model reconstruction. Without GCPs, the dual-strip flight mode is recommended for flight configuration to achieve high geo-referencing accuracy. Compared with the traditional methods, the proposed solution can achieve off-site inspection of transmission line.
The Role and Effect of Mass Media on Rape and Sexual Violence against Women and Girls: A case study of South Kivu in Democratic Republic of the Congo

Prevalence of grave rapes and sexual violence against women and girls in the Democratic Republic of Congo (DRC) prompted the conduction of this study. The study aimed to explore the roles and effects of mass media on rape and sexual violence against women and girls in South Kivu. One main research question, which is, what are the cognitive, affective, and behavioral effects guided data collection, analysis, presentation and discussion of research findings. The study brought forward an intensive discussion on the way mass media play different roles and exert different effects on the audiences concerning rape and sexual violence. The study used the qualitative research which involved semi-structured interview and focus group discussions to collect data from 144 participants including government officials, journalists, religious leaders and victims. The findings revealed that respondents recognized the significant roles and effects of mass media in conveying, cognitive, affective, and behavioral changes on people with regard to rape and sexual violence. On cognitive effect, the findings indicated that 72% participants believed that mass media reporting was used as a tool to help activists and governments raise awareness and implement programs on the issues of rape and sexual violence in the community. In addition, 63% participants considered that mass media have been providing methods to reduce incidents of rape and sexual violence in DRC. On affective effect, two thirds of participants considered mass media as creating awareness and instigated courage among the victims of rape and sexual violence on how to cope with the trauma. But more than half participants also suggested that mass media incorporated images that convey destructive messages, causing more trauma and disinterest among the victims. On behavioral change, 67% participants thought mass media raised awareness among the community to protect victims of rape and sexual violence against the traumas and denials. , news coverage about rape and sexual violence against women were sensational, exploitative, lacking serious analysis of the prevalence hence bring no significant impact on the fight against these incidents. The study also found that victims of circumstances, women and girls are experiencing multiple pathological hurt, including, physical, psychological and social consequences. Interviewees were of the view that in some cases mass media fuels the incidents of rape and sexual violence by putting stigmas to the victims with contents they cover. As the means to combat rape and sexual violence, the study found that mass media shaped public discourse, raised sensitization, through reporting and implementing programs about issues of rape and sexual violence in DRC. Keywords : Mass Media on Rape, Sexual Violence, female DOI : 10.7176/NMMC/80-07 Publication date :May 31 st 2019
Network synchronization and synchrony propagation: emergent elements of inspiration

The preBötzinger Complex (preBötC) – the kernel of breathing rhythmogenesis in mammals – is a non-canonical central pattern generator with undetermined mechanisms. We assessed preBötC network dynamics under respiratory rhythmic and nonrhythmic conditions in vitro. In each cycle under rhythmic conditions, an inspiratory burst emerges as (presumptive) preBötC rhythmogenic neurons transition from aperiodic uncorrelated population spike activity to become increasingly synchronized during preinspiration, triggering bursts; burst activity subsides and the cycle repeats. In a brainstem slice in nonrhythmic conditions, antagonizing GABAA receptors can initiate this periodic synchronization and consequent rhythm coincident with inducing a higher conductance state in nonrhythmogenic preBötC output neurons. Furthermore, when input synchrony onto these neurons was weak, preBötC activity failed to propagate to motor nerves. Our analyses uncover a dynamic reorganization of preBötC network activity – underpinning intricate cyclic neuronal interactions leading to network synchronization and its efficient propagation – correlated with and, we postulate, essential to, rhythmicity.
Green Secure Communication Range-Angle Focusing Quadrature Spatial Modulation Using Frequency Modulated Diverse Retrodirective Array for mmWave Wireless Communications

Quadrature spatial modulation (QSM) using frequency modulated diverse retrospective array (FMD-RDA) is put forward to achieve green transmission paradigm shift from phased-array-based arrangement. Up to date, the QSM techniques have employed phased-array, but only angular focusing direction is possible without range focusing direction. On the other hand, millimeter-wave (mmWave) scheme is suggested as an alternative approach for fifth-generation because of large bandwidth spectrum. Therefore, this paper studies green secure communication range-angle focusing QSM FMD-RDA in mmWave wireless communication. In FMD-RDA, a small frequency increment is included across the RDA elements to decouple range-angle focusing. More importantly, an attractive advantage of using FMD-RDA is the automatic self tracking feature which alleviate transmitter/receiver's channel state information (CSI) requirement. To ensure secure transmission, we exploit physical layer security to degrade the channel quality of the eavesdropper. Furthermore, low complexity greedy detector is devised to retrieved the information bits at the receiver. We also derived pair-wise error probability, and analyze secrecy sum rate and energy transfer capability. The reported simulation results demonstrate that the proposed scheme is effective in improving the spectral efficiency with low complexity and no CSI requirement.