Miracle-dz/UniFAR-FTUs huggingface dataset:
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Geotherapy is the therapeu c use of clay materials which are de ned as natural earths that have di erent minerals in their composi on. Objec ve: This work aimed to compare the pain, mobility, weight-bearing, and func onal impairment in individuals with Knee Osteoarthri s who had undergone two types of physiotherapy treatments: the rst group associated Geotherapy with Kinesiotherapy (GGK) and second group associated Geotherapy and Phytotherapy with Kinesiotherapy (GGFK). Method: This study was a randomized double-blind clinical trial, which was a ended by 25 individuals of both sexes aged over 43 years; they underwent 10 sessions las ng 45 minutes each. The individuals performed the assessments to check for pain by using a visual analogue scale (VAS); to assess func onal mobility, the test d h (TUG) test; to assess disability and symptoms, the Lequesne Algofunc onal ques onnaire; and nally the Nintendo Wii Fit®, to measure weight-bearing between members. Results: The results showed that only the GGFK had improved func onal mobility. Both groups improved the intensity of pain and symptoms a er the interven on and that improvement in GGFK was superior for symptoms in rela on to GGK. Both groups showed a reduc on in the intensity of pain and symptoms a er the interven on, and the GGFK improvement was greater than the GGK for symptoms of Osteoarthri s (OA). Neither group showed any improvement in weight-bearing. Conclusion: It was concluded that geotherapy and phytotherapy associated with kinesiotherapy can be bene cial in reducing the pain and func onal
Design of High-Speed SiGe HBT BiCMOS Circuits for Extreme Environment Applications

To my family and friends. iii ACKNOWLEDGEMENTS This research work that I commenced four years ago would not have culminated into this dissertation without the help and constant support of many people. I am grateful to my advisor, Professor John D. Cressler, for providing me with this wonderful and exciting opportunity. His deep love and enthusiasm for research and his passion for life is very infectious. His efforts towards ensuring the progress and well-being of his students is truly remarkable and I am a very happy beneficiary of that. I am immensely proud to have been associated with him and his SiGe Research Group.
Making Sense Of Software Ecosystems: A Critical Review Making Sense Of Software Ecosystems: A Critical Review

Visualizing software as ecosystems has been an emergent phenomenon. The objective of this paper is to analyze the field of software ecosystems (SECO) and provide a critical review of the existing literature. This research identifies domains and peripheries of a SECO; highlights architectural challenges; examines design and control mechanisms and discusses some of the learning’s from other popular paradigms that can be applied to address the key challenges in the SECO paradigm. This paper also aims to recommend future research directions for software ecosystems and its role in the broader context of information systems research.
DESIGN GUIDELINES FOR LABORATORY LEARNING ACTIVITIES IN STRUCTURAL MECHANICS

Structural Mechanics (SM) is a fundamental subject in engineering bachelor curricula. Since experimental investigations play a central role in the discipline, laboratory practice is often present in SM courses. Many instructors recognize in laboratory activities, not only a way to develop laboratory skills and appreciation of the scientific method, but also a chance to reinforce students’ conceptual understanding of the discipline. However, there is evidence that laboratory instruction is not always successful in achieving conceptual understanding. To address this problem, the goal of the presented study is to investigate how laboratory activities can be designed to support students' conceptual understanding of SM. First, the disciplinary body of knowledge is analysed through Johnstone’s model of multilevel thought. In SM, as in Physics and in Chemistry, phenomena are analysed at different scales: the phenomenological level, the invisible level, and the symbolic level. The understanding of most Structural Mechanics concepts relies on linking the phenomenological world to the underlying invisible world using symbolic representations such as equations, diagrams, experimental data plots, and physics models. To transition and translate between “levels of thoughts” and understand SM 1 Corresponding Author
Managing Path Switching in Multipath Video Streaming

—Video streaming has become the major source of Internet trafﬁc nowadays. Considering that content delivery network providers utilize Video over Hypertext Transfer Protocol/Transmission Control Protocol (HTTP/TCP) as the preferred protocol stack for video streaming, understanding TCP performance in transporting video streams has become paramount. Recently, multipath transport protocols have allowed video streaming over multiple paths to become a reality. In this paper, we analyze the impact of path switching on multipath video streaming and network performance, and propose new schedulers which minimize the number of path switching. We utilize network performance measures, as well as video quality metrics, to characterize the performance and interaction between network and application layers of video streams for various network scenarios.
DMSO_A_251663 2573..2582

Lei Liu Hui Xu Hongyu Zhao Chunying Jiang 1Department of Ophthalmology, The First Hospital of Jilin University, Changchun 130021, People’s Republic of China; 2Department of Radiation Oncology, China-Japan Union Hospital of Jilin University, Changchun 130033, People’s Republic of China Background: Diabetic retinopathy (DR) is a vascular lesion induced by high glucose. STEAP4 is an indispensable membrane protein, which is closely related to hyperglycemicinduced cell inflammation and injury, while STEPT4 has not been studied in hyperglycemicinduced retinal vascular endothelial cell injury. Methods: The expression of STEAP4 was detected by RT-qPCR and Western blot. CCK-8 was used to detect cell survival. STEAP4 was overexpressed by cell transfection. The expressions of cytokines TNF-α, IL-1, IL-6, ICAM-1, MDA, SOD and ROS were detected by ELISA. Cell apoptosis was detected by flow cytometry. The expressions of proteins associated with cell damage VEGF, KLF2, eNOS and apoptosis-related proteins Bax, cleaved caspase3 and Bcl2 were detected by Western blot. Finally, the expressions of HIFα and PKM2 were detected by immunofluorescence and Western blot. Results: The expression of STEAP4 in hyperglycemic-induced retinal vascular endothelial cells (HRCECs) decreased gradually. Overexpression of STEAP4 reduced inflammation and apoptosis of HRCECs and improved dysfunction of them. Meanwhile, overexpression of steap4 inhibited the expression of HIF-1α/PKM2 signal. Conclusion: STEAP4 can be a potential therapeutic target for diabetic retinopathy by inhibiting HIF1/PKM2 signaling to reduce hyperglycemic-induced retinal cell apoptosis.
Understanding the energy transfer mechanism in the near field of 1 impact driven piles 2 3

6 Pile installation by applying an impact to the top of a pile appears to be a simple construction 7 process but analysis of that process is complicated as it involves a source of energy, the structural 8 member (pile), and the ground into which the pile is driven. Codes and regulatory standards 9 suggest some basic guidance to analysis but much is still unknown. Pile driving creates vibrations 10 in the surrounding ground that can cause direct damage to nearby structures, cracking in 11 underground utilities or dynamic settlement of loose sands with attendant potential damage. It is 12 customary to monitor surface ground motions starting as close as 1.5 m from the pile and use the 13 surface vibration data to interpret energy propagation. The work described here, however, presents 14 ground motion measurements from impact pile driving not only along the surface but also in the 15 body of the ground at different radial distances and depths. Ground motion data during impact pile 16 driving was obtained by installing motion sensors starting very close to the pile, 0.2 m, and moving 17 away to about 0.8 m and 2 m at the same depth as well as along the ground surface at greater 18 distances. Extensive analysis of the ground motion amplitude and dominant frequencies was 19 performed. Shear wave velocity degradation in the near field of an impact driven pile was 20 1 University of Nottingham, Department of Civil Engineering, B55 Coates Building, University Park, Nottingham, NG7 2RD, United Kingdom (corresponding author) E-mail: a.gkrizi@nottingham.ac. uk 2 University of Michigan, Department of Civil and Environmental Engineering, 2350 Hayward St., Ann Arbor, Michigan, 48109, United States of America 2 evaluated by studying ground motion signatures from the sensor arrays. From the measured ground 21 motion, the hypothesis of three different soil behavior zones (plastic, non-linear and near-linear) 22 surrounding a driven pile was generally confirmed. Also, high frequency vibration near the pile 23 was observed to modify to lower frequencies at greater distance from the pile. All measurements 24 were made at sites where production piles were being driven so coordination with the pile driving 25 contractors was an additional challenge. 26 27
Assessment of Spiritual Psychology of Different Generations in Coimbatore City Based on Chakra Lifespan Development Model

The purpose of this research is to identify the spiritual growth of generations in Coimbatore city. The spiritual growth questionnaire was developed for this research and its reliability and validity is ensured. Through ‘Disproportionate Stratified Random Sampling’ data was collected from individuals associated with services (academic, hospital, spiritual center, IT) and manufacturing (textile, auto-component) sectors in Coimbatore, Tamil Nadu, India. 600 respondents were targeted, among them 490 gave valid responses. Research conducted in Coimbatore city, revealed that spiritual growth level of majority of the population possessed Creativity and Expression (CE). CE peoples are creative and better communicative; they regularly practice yoga or meditation, wherever they work they are loyal and goal oriented in achieving the employer’s goal of an organization.
Fusing Optimal Odometry Calibration and Partial Visual Odometry via A Particle Filter for Autonomous Vehicles Navigation

— Autonomous vehicles are increasingly becoming ubiquitous in the 21st century; they find application in agriculture, industry, airplanes, cars, service robotics, and others; in order to display autonomous guidance, a vehicle needs to estimate its position and orientation relative to an arbitrary coordinate system; to do so, several sources of information can be used, including images, global positioning systems, inertial measurements or odometry, each according to the application; methods, such as Kalman Filter can be used to combine the several sources of information; however, the more accurate each source of information is, the better the estimation of vehicle position and orientation will be; therefore, the calibration of the parameters of the odometrical systems in autonomous terrestrial vehicles is a must; visual guidance is also an important technology used for vehicle guidance. In this paper, it is presented an off-line method for odometry calibration using a genetic algorithm and the fusion of odometry data with heading information from camera data; a particle filter is used to fuse the data from the optical encoder and the camera. This method was tested in an Automated Guided Vehicle (AGV) with tricycle topology, demonstrating high accuracy in position estimation and guidance through arbitrary paths.
Expression by of type III secretion system components during infection

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. Expression by of type III secretion system components during infection M. Pilar Alberdi, Eleanor Watson, Gina E.M. Mcallister, Jennifer D. Harris, Edith A. Paxton, Jill R. Thomson, David G.E. Smith
SURVEY ON NODE REPLICATION ATTACKS IN STATIC WIRELESS SENSOR NETWORK

-Wireless sensor network are collection of spatially distributed sensor nodes, which are small, tiny and low cost.They are used to monitor the environment and collect the data. These collected data obtained by monitoring can be stored and sent to the desired locations. These sensors have the ability to monitor the environmental conditions like sound, temperature, pressure etc.The applications of wireless sensor network include military applications, healthcare and industrial monitoring applications. But these sensor nodes which are non-tamper proof and being deployed in the unattended environment are under the threat of various attacks. One of the most serious attackis node replication attack. In this attack, the attacker node captures the legitimate node and copies all the secret credentials (ID, cryptographic keys etc) from it. Then creates multiple copies with same ID and information and deploys in various location. By this attack the adversary is capable of creating its own low cost sensor node and makes the network to accept it as legitimate nodes. These clone nodes are capable of creating black hole and caninject false data. They can release sensitive data and can do the incorrect aggregation of data to affect the final result. This causes threat to the data that is transmitted from source to destination. For example, these sensor nodes have application in battlefield area. If the data transmitted is modified or not received by the specified receiver, then it creates a problem to soldiers for next move.Detection and prevention of these types of attack is tedious task and many research works are being carried out. In this article, we provide information about various existing detection schemes and also the limitations of those techniques by comparing them with one another. Also, we provide suggestions that can be used to detect node replication attack.
A heuristic graph partitioning method to minimize remote communication costs

— Existing graph partitioning algorithms rarely focus on the choice of the replicas. Most of them make use of random hashing to allocate vertices to partitions due to its convenience and simplicity. However, such random property may result in undesirable partitioning results with huge communication cost if many high degree vertices are being replicated. We address this problem and propose a greedy algorithm to minimize the number of replications of high degree vertices and at the same time minimize the replication factor by sorting the vertices before allocating them to different partitions. We compare our algorithm with one of the well performed existing graph partitioning algorithms, PowerLyra’s hybrid -cut, and prove that our algorithm gives better results in most practical situations. Experimental results show that our algorithm gives much lower replication factor compared to PowerLyra’s h ybrid-cut algorithm generally in random graphs, power-law graphs and real-life graphs.
Dysfunctional Parenting and Family Adversities in Association with Depressive Symptoms in Female Adolescents: The Roles of Personality Traits

Purpose: To examine whether personality traits specifically act with dysfunctional parenting or other family adversities on the development of depressive symptoms among female adolescents. Methods: A total of 1207 female adolescents aged 15 to 18 from two comprehensive high schools in Taichung County, Taiwan were recruited for this study. A series of multivariable regression analyses were conducted to examine the mediational effect of personality traits between family factors and depressive symptoms. Main Findings: After controlling for grade and academic performance, dysfunctional parenting, family dysfunctioning, poor family economic status, and all personality traits were significantly associated with depressive symptoms, but each accounted for only a small variation (< 8%) except for neuroticism (47%). Neuroticism acted as a mediator between family adversities and female depressive symptoms since effects of family adversities were substantially attenuated, although remained significant, when taking it into account in the multivariable models. However, those effects stayed similar when psychoticism and extroversion were individually put into the models, indicating both personality traits provided another pathway for family adversities to depressive symptoms in addition to their direct relationships. Conclusion: This study suggests that female adolescents with high scores of some personality types are at an increased risk of developing depressive symptoms in response to a variety of family adversities, though each personality plays a different role in the relationship. Intervention programs that incorporate both personal characteristics and family systems may be of benefit in alleviating the adverse effects of some types of personality traits and negative family factors on depressive symptoms in female adolescents. and analyses for marital status of parents on youth’s depression are needed to clarify their relationships.
Social Media Analysis in Sentiment Instance Selection and Classification Based on FFNN

– The sentimental analysis is the major concept of the analysis emerged with the advance of social media. Our purpose is to define the sentiment analysis of a Twitter and Facebook comment Positive, Negative and Neutral by using the Vectorization and instance selection approach. In the main sentiment analysis applications using these methods, the sentiment keywords, sentence plays a main role. It is most important to make a sentence and feature based covering various sentiment words. For the reason, we analyze the paper issues how to divide and list-words, sentences present on the focus into binary dictionaries. We have implemented feature extraction method, instance selection and a novel involuntary method to make the positive, negative and neutral dictionaries that search the sentiment keywords present in the comments. More significantly, our idea allows increasing these dictionaries with an en-richest phase. Lastly, by using these prepared datasets, we identify the category of the sentiments of the comments and reviews in social media networks. We consider our method by comparing to human authentication and classification. Our consequences are also real and consistent.
The relationship between continuing education and technological resources from the perspective of higher education professors

da História Oral para a realização das sete entrevistas feitas com os docentes que atuavam nas ‘licenciaturas de matemática’ em Curitiba. Verificou-se que eles percebem as possibilidades e os desafios do uso dos recursos tecnológicos tanto na formação continuada, quanto na relação entre professor e aluno. Dentre as possibilidades, a formação continuada em tempos e espaços flexíveis; dentre os desafios, acompanhar a rapidez das inovações e sua aplicação em sala de aula.
Bayesian Estimation in Hierarchical Models

Bayesian data analysis involves describing data by meaningful mathematical models, and allocating credibility to parameter values that are consistent with the data and with prior knowledge. The Bayesian approach is ideally suited for constructing hierarchical models, which are useful for data structures with multiple levels, such as data from individuals who are members of groups which in turn are in higher-level organizations. Hierarchical models have parameters that meaningfully describe the data at their multiple levels and connect information within and across levels. Bayesian methods are very flexible and straightforward for estimating parameters of complex hierarchical models (and simpler models too). We provide an introduction to the ideas of hierarchical models and to the Bayesian estimation of their parameters, illustrated with two extended examples. One example considers baseball batting averages of individual players grouped by fielding position. A second example uses a hierarchical extension of a cognitive process model to examine individual differences in attention allocation of people who have eating disorders. We conclude by discussing Bayesian model comparison as a case of hierarchical modeling.
An approach for full scale off-line testing to evaluate the iWIDGET system performance

WIDGET is an ongoing European Commission FP7 project aiming at improved water efficiencies using novel ICT technologies for integrated supply-demand side management, focusing on an integrated approach to water resources management. The project contributes to advance knowledge about smart metering in order to develop novel, robust and cost-effective ICT tools for both water utilities and consumers. Within the project, a set of relevant applications derived from smart metering real-time data was identified, characterized and implemented in a software prototype. This prototype is a critical asset that must be evaluated to ensure its compliance with the requirements specified during system analysis and design and to verify its acceptance according to the end users’ needs. The prototype evaluation followed the software engineering best practices, through a set of software tests with close collaboration between consumers, utility stakeholders and software developers. Once individual components (data management and analytical) have passed unit testing, integrated tests took place. The first phase of integrated tests used off-line historical smart metering data as opposed to the second phase (on-line testing) that uses near real-time data. This paper presents the standardized method designed in the project to carry out the off-line testing. The off-line testing method is based on a test scenario/test case approach and includes functional (i.e., tests to verify if functional requirements are met) and non-functional testing (i.e., tests to verify the quality of the software in terms of usability, security or compatibility, for example). For each evaluated application, test scenarios were designed as well as the corresponding test cases (in total, more than 50 test scenarios and 90 test cases). Success criteria for determining whether an observed behaviour of the system is correct and key performance indicators (KPI) to assess the achievement of success criteria were also defined for each test case step. This paper also presents results of the method ́s application, which included collecting historical data from a fullscale case study, feeding this data to the prototype, analysing the results and evaluating KPI in order to identify corrections and improvements.