Miracle-dz/UniFAR-FTUs huggingface dataset:
INVESTIGATION OF LOCAL AND MODAL BASED ACTIVE VIBRATION CONTROL STRATEGIES ON THE EXAMPLE OF AN ELASTIC SYSTEM

Nowadays, feed axes are often equipped with multiple parallel-acting actuators in order to increase the dynamics of the machine tool. Also, additional actuators for active damping are widely used. Normally, the drives or actuators are controlled independently without consideration for the impact on each other. In contrast, by using the modal space control, the system can be decoupled and the modal control loops can be adjusted independently. This control approach is particularly suitable for motion systems, such as machine tools, which have more drives or actuators than degrees of freedom of movement. This paper deals with the pre-investigation of the modal-based vibration control for machine tools with additional actuators. The object of investigation is an elastic system with a movable saddle. The modal-based control is compared with a local control approach. The results obtained experimentally on the test rig are presented. The modal control is superior since, with the modal approach, each control loop corresponds to a specific vibration mode, and the control law for this loop is designed to provide the desired performance of the control system at the corresponding resonance frequency. The parameterisation of the control loops is simplified by modal control, since the modes can be controlled independently.
Exploring Antecedents of Those Who Practice Servant Leadership

The purpose of the study was to explore the preceding essence of the individual who is a servant leader. In search of antecedents, the researcher used a qualitative method with a phenomenological design, exploring what brought the participants to utilize servant leadership. Furthermore, the researcher aimed to fill a gap by asking participants to provide their stories of what brought them to employ such a leadership style versus suggesting answers. This qualitative research study was conducted to answer the question: "What are the antecedents of the person who practices servant leadership? " A criterion sample was used to recruit servant leaders through the social media network LinkedIn.com. Three subjects participated in the study and were found to have common antecedents featuring religion and military service combined with personal and educational influences, as well as characteristics such as integrity, compassion, supportive, and responsible. Other commonalities of the participants included planning and training experience, as well as reading, exercise and sleep for self-care.
Comparative Study to Find the Effect of Mulligan's Snag Technique (C1-C2) Versus Maitland's Technique (C1-C2) in Cervicogenic Headache among Information Technology Professionals

Background: Headache is a common condition which physiotherapists have to deal with in clinical practice.Headaches which arise from the cervical spine are termed as Cervicogenic headaches (CGH), and these types of headaches are common form of a chronic and recurrent headache.The diagnostic criteria for CGH are outlined by the IHS (International Headache Society). The upper cervical joints, namely the occiput-C1 and C1-C2 segments are the most common origin of pain. Office and computer workers have the highest incidence of neck disorders than other occupations; the prevalence of neck disorders is above 50% among them. The purpose of this study is to find the effectiveness of Mulligan’s SNAG technique (C1-C2) and Maitland’s technique (C1-C2) in CGH and to compare these manual therapy techniques (Mulligan’s SNAG technique and Maitland’s technique) with a control group.Methods: 30 subjects were selected for the study among them 23 subjects completed the study. The subjects were randomly allocated to 3 groups. The range of motion (ROM) and severity of a headache were assessed pre and post intervention using FRT and HDI respectively.Result: The comparison revealed that SNAG group had a greater increase in cervical rotation (p<0.01) range than the Maitland’s technique and control groups. The mean value between pre-post differences shows a decrease in severity of headache among all three groups. The significant difference between 3 groups was found through Tukey’s post hoc test using ANOVA method (Group A versus Group C; p<0.01 and Group B versus Group C; p<0.05). Conclusion: The present study suggested that C1-C2 SNAG technique showed statistically significant improvement in reducing headache and disability when compared to the Maitland’s mobilization technique among cervicogenic headache subjects.
Optimizing Sequencing in Patients with NSCLC and Actionable Mutations | PER

The American Journal of Hematology/Oncology® Editorial Board Debu Tripathy, MD Professor and Chairman Department of Breast Medical Oncology Division of Cancer Medicine The University of Texas MD Anderson Cancer Center Houston, TX Disclosure: Grant/Research Support: Genentech/Roche, Pfizer, Puma Biotechnology Inc, and Novartis (clinical trial support contracted to the University of Southern California and MD Anderson Cancer Center); Consultant: Eisai, OncoPlex Diagnostics, Merck, and Novartis.
Robust Event-Triggered Model Predictive Control for Multiple High-Speed Trains With Switching Topologies

This paper presents a robust event-triggered model predictive control (MPC) strategy for multiple high-speed trains (MHSTs) with random switching topologies. Due to the complicated operation environment of high-speed railways, the communication topology of MHSTs system is time-varying and changes among a set of directed graphs, which can be characterized as a Markov chain. By adopting the concept of MPC, this paper studies the distributed cooperative leader-following consensus control for MHSTs, in which a novel event-triggered strategy is introduced to determine when information exchange among neighboring trains and control update are executed. Firstly, the leader-following consensus problem of MHSTs system is transformed to the stabilization of a Markov jump system and a sufficient condition for leader-following consensus is derived with stability analysis of the Markov jump system based on the robust event-triggered MPC scheme. Then, the robust event-triggered MPC algorithm which minimizes the objective function is proposed. By optimizing the objective function, the deviation of states and amplitude of the control force are optimized. The effectiveness of the proposed robust event-triggered MPC method on cooperative cruise control of MHSTs is illustrated by numerical examples.
Buffering and total calcium levels determine the presence of oscillatory regimes in cardiac cells

Calcium oscillations and waves are often behind instances of extra depolarization in cardiac cells, eventually giving rise to life-threatening arrhythmias. In this work, we study the conditions for the appearance of calcium oscillations in both a detailed subcellular model of calcium dynamics and a minimal model that takes into account just the minimal ingredients of the calcium toolkit. To avoid the effects of homeostatic changes and the interaction with the action potential we consider the somewhat artificial condition of a cell without pacing and with no calcium exchange with the extracellular medium. This permits us to isolate the main reasons responsible for the oscillations by controlling externally the total calcium content of the cell. We find that as the calcium content is increased, the system transitions between two stationary states, corresponding to one with closed ryanodine receptors (RyR) and most calcium in the cell stored in the sarcoplasmic reticulum (SR), and another, with open RyRs and a depleted SR. In between these states, calcium oscillations may appear. This transition depends very sensitively in the amount of buffering in the cell. We find, for instance, that at high values of calsequestrin (CSQ) oscillations disappear, while they are present for a broad range of parameters at low values of CSQ. Using the minimal model, we can relate the stability of the oscillating state to the nullcline structure of the system, and find that its range of existence is bounded by a homoclinic and a Hopf bifurcation. Author summary In cardiac cells, calcium plays a very important role. An increase in calcium levels is the trigger used by the cell to initiate contraction. Besides, calcium modulates several transmembrane currents, affecting the cell transmembrane potential. Thus, dysregulations in calcium handling have been associated with the appearance of arrhythmias. Often, this dysregulation results in the appearance of periodic calcium waves or global oscillations, providing a pro-arrhythmic substrate. In this paper, we study the onset of calcium oscillations in cardiac cells using both a detailed subcellular model of calcium dynamics and a minimal model that takes into account just the minimal ingredients of the calcium toolkit. Both reproduce the main experimental results and link this behavior with the presence of different steady-state solutions and bifurcations that depend on the total amount of calcium in the cell and in the level of buffering present. We expect that this work will help to clarify the conditions under which calcium oscillations appear in cardiac myocytes and, therefore, will represent a step further in the understanding of the origin of cardiac arrhythmias.
Augmented input interventions for children with developmental disabilities: Clinical recommendations await conclusive data with respect to dosage, frequency, duration, and specific populations

Sennott, S. C. , Light, J. C. , & McNaughton, D. (2016). AAC modeling intervention research review. Research and Practice for Persons with Severe Disabilities, 41(2), 101–115. Source of funding and declaration of interests: Financial support for the research, authorship, and publication of the review was provided by the Office of Special Education Programs, Office of Special Education and Rehabilitation Services. The authors declared no conflicts of interest.
Human Decision Making with Machine Assistance

Much of political debate focuses on the concern that machines might take over. Yet in many domains it is much more plausible that the ultimate choice and responsibility remain with a human decision-maker, but that she is provided with machine advice. A quintessential illustration is the decision of a judge to bail or jail a defendant. In multiple jurisdictions in the US, judges have access to a machine prediction about a defendant's recidivism risk. In our study, we explore how receiving machine advice influences people's bail decisions. We run a vignette experiment with laypersons whom we test on a subsample of cases from the database of this prediction tool. In study 1, we ask them to predict whether defendants will recidivate before tried, and manipulate whether they have access to machine advice. We find that receiving machine advice has a small effect, which is biased in the direction of predicting no recidivism. In the field, human decision makers sometimes have a chance, after the fact, to learn whether the machine has given good advice. In study 2, after each trial we inform participants of ground truth. This does not make it more likely that they follow the advice, despite the fact that the machine is (on average) slightly more accurate than real judges. This also holds if initially the advice is mostly correct, or if it initially is mostly to predict (no) recidivism. Real judges know that their decisions affect defendants' lives. They may also be concerned about reelection or promotion. Hence a lot is at stake. In study 3 we emulate high stakes by giving participants a financial incentive. An incentive to find the ground truth, or to avoid false positive or false negatives, does not make participants more sensitive to machine advice. But an incentive to follow the advice is effective.
Flexible Threshold Ring Signature in Chronological Order for Privacy Protection in Edge Computing

Edge computing can process data at the network edge rather than in the remote cloud. To protect the security of the collected data, blockchain can be used in edge computing. Any request sent from an edge server requesting data storage is a transaction added into the blockchain, which should include the data owners’ signature. For protecting the privacy of data owners, a threshold ring signature can be utilized for the blockchain. In this article, we propose a flexible threshold ring signature scheme in chronological order that has two advantages for solving the update problem and chronological problem in practice. Our scheme is a nontrivial extension of Yuen et al.’s signature scheme and has three security properties: unforgeability, anonymity, and chronological sorting. We prove our scheme without random oracles and test our scheme over the Intel Edison development platform simulating practical edge servers.
“I felt like I was really talking to you!”: intimacy and trust among teen vloggers and followers in Portugal and Brazil

ABSTRACT This paper analyzes how female teen YouTubers manage intimacy and trust in the narration of their personal lives and the ways in which this is perceived by followers. The analysis of two case studies of popular teen YouTubers from Portugal and Brazil – SofiaBBeauty and Manoela Antelo, respectively – revealed that their presentation is anchored in discourses about whom they are with and where they are, what they are doing, and their personal tastes and styles. Through their comments on the videos, followers express trust connections with the vloggers, based on a sense of proximity, a desire for exclusivity in their relationship, relatability with banal aspects, and recognition as cultural intermediaries. These case studies have demonstrated strong similarities in the vloggers’ practices of constructing intimacy and consequent trust with peer audiences, bearing great resemblance with older YouTubers from central cultures. Although Sofia and Manoela put forward different class performances, the trust they inspire in their followers is a fundamental form of capital for both.
A New 3D Discrete Hyperchaotic System and Its Application in Secure Transmission

In this paper, a new 3D discrete hyperchaotic system is constructed, and its Lyapunov exponent and approximate entropy are calculated. We adopt the drive-response method and self-adaptive method to make the hyperchaotic system to reach synchronization, and then design an encrypted transmission system based on the synchronization of this discrete hyperchaotic system. In the synchronous hyperchaotic system, the initial value related to the hash value of the speech signal of the chaotic system is designed. Some security analyses are studied in detail.
A STRUCTURED REVIEW OF THE SIX SIGMA BELT SYSTEM

The Six Sigma methodology creates many possibilities for a radical improvement of process and product quality. Organizations that are embarking on the implementation of Six Sigma improvement initiatives need to overcome substantial barriers to ensure the effectiveness of the implemented approaches. In many cases, the implementation of improvement initiatives involves a significant investment in the establishment of a supporting infrastructure and training for the improvement initiatives. One of the most critical success factors for the implementation of Six Sigma is a strong organizational infrastructure led by different Six Sigma belts. Thus, the aim of the article is to provide a comprehensive overview of the current state of research regarding the Six Sigma belt system. A total of 62 journal papers about the Six Sigma belt system published during the period from 2000 to 2016 were selected for the analysis. The analysis reveals that the research regarding the Six Sigma belt system has so far been focused primarily on large manufacturing enterprises. The Six Sigma belt system has not been yet adequately studied within the context of smaller companies. Thus, the field on the application of Six Sigma in the small and medium enterprises provides valuable research opportunities. Furthermore, only 15 out of the 62 articles focus exclusively on the examination of the SS belt system rather than exploring general application of the Six Sigma methodology. However, these research papers only focused on Black Belts or Green Belts while neither the Master Black Belt nor Yellow Belt was a high priority in these studies.
Sketch-Based Image Retrieval With Multi-Clustering Re-Ranking

To improve the performance of sketch-based image retrieval (SBIR) methods, most existing SBIR methods develop brand new SBIR methods. In fact, a re-ranking approach, which can refine the retrieval results of SBIR methods, is also beneficial. Inspired by this, in this paper, an SBIR re-ranking approach based on multi-clustering is proposed. In order to make the re-ranking approach invisible to users and adaptive to different types of image datasets, we made it an unsupervised method using blind feedback. Distinguished from the existing methods, this re-ranking approach uses the semantic information of three types of images: edge maps, object images (images with black background and natural images’ foreground objects) and natural images themselves. With the initial retrieval results of an SBIR method, our approach first does the clustering operation for three types of images. Then, we utilize the clustering results to generate a cluster score for each initial retrieval result. Finally, the cluster score is used to calculate the final retrieval scores for the initial retrieval results. The experiments on different SBIR datasets are conducted. Experimental results demonstrate that, by implementing our re-ranking approach, the retrieval accuracy of a variety of SBIR methods is increased. Furthermore, the comparisons between our re-ranking method and the existing re-ranking methods are given.
Effect of Averaging Voltage Regulation Control on Steady-State Analysis of Modular Multilevel Converters

The modular multilevel converter (MMC) is a popular research topic in power electronics and is a promising topology for high-power applications. Many steady-state analysis models have been investigated for MMCs. The circular interaction among the electrical quantities in an MMC has been established and improved models have been proposed, with consideration of the second-order circulating current controller and line harmonic currents in the analysis. So far, no steady-state analysis models have addressed the effect of averaging voltage regulation control, which influences switching function of MMC upper and lower arms, and finally, the accuracy of steady-state analysis. In this article, we discuss the validity of existing models with and without averaging control. After extensive simulations, it is found that the accuracy is affected, showing the weakness of existing models and verifying the effect of averaging voltage regulation control on steady-state analysis of MMCs. Then, to solve this problem, an improved analysis model is proposed. In this model, averaging control is considered at the beginning of circular-interaction-based analysis. The new model presents a higher accuracy compared with the existing ones.
Transnational Sharing Economies & Neoliberal Urbanism: Airbnb in the City-Region of Tangier

​Since the early 1980s, Morocco’s strategies of urban governance have been decidedly neoliberal, focusing on entrepreneurialism, market liberalization, and privatization in order to make Moroccan cities more competitive in a global capitalist market (Bogaert 2010; Kanai & Kutz 2011). Within this context of neoliberal urban restructuring, I examine the case of Airbnb in the rapidly globalising city-region of Tangier. Airbnb is an online “sharing economy” platform which allows property owners to rent out living spaces to short-term travellers, usually tourists. In the Moroccan urban context, Airbnb is part of a broader trend of entrepreneurial development, influx of international capital into the real estate market, and touristification. However, while most urban entrepreneurialism in Morocco has been tightly state-lead and planned by a confederation of government agencies and private interests, Airbnb hosts participate in transnational entrepreneurialism outside of the scope of the state or other financial institutions (Zemni & Bogaert 2011). Interviews conducted with Airbnb hosts in Tangier help to provide a picture of the individuals participating in global urban processes and the concrete social networks in which these processes unfold, complicating simplistic narratives of neoliberal globalisation in which depersonified “capital” and monolithic institutions are the only relevant actors.
Intercultural Adaptation and Mental Health of Indonesian Health Workers Coming to Japan under the Economic Partnership Agreement

Following the Economic Partnership Agreement (EPA) between Japan and Indonesia coming into effect, acceptance of Indonesian nursing and care worker candidates began in 2008. From the following fiscal year, acceptance was expanded to include the Philippines and Vietnam. The medical and nursing care fields in Japan are gradually becoming internationalized. We speculated that EPA candidates would adapt to living and working in Japan, which has a different culture from their own country. This study assessed their adaptability to Japanese culture, mental health, and the clarified factors related to their mental health, based on the results of a quantitative survey.
Astrocytic mechanism of glutamate modulation underlying synchronous bursting in cortical cultures

Synchronous bursting (SB), a collective dynamics of neuronal network, is related to brain functions. Its underlying mechanism still remains unclear. Recent studies provide sufficient evidence that astrocytes participate in synaptic transmissions. However, the role of astrocytes in SB is not yet well understood. Here, we investigated collective dynamics of astrocytes and neurons simultaneously by using cortical cell cultures developed on multi-electrode array (MEA) systems. Employing glutamate sensors (iGluSnFR) specifically expressed on astrocytes, we observed array-wide rapid rise and fall of synaptic glutamate level during SB. These glutamate traffics at synapses are likely responsible for the persistence of neuronal activities for up to seconds. We found that properties of SB events such as bursting rate and burst duration depend on the activities of GLT-1 glutamate transporters, known to majorly express on astrocytes. In addition, through genetically-encoded calcium indicator (GECI), we also observed concomitant array-wide synchronous calcium elevations in astrocytes. By including the glutamate traffics related to astrocytes, a tripartite synapse model (TUMA) was developed to conform with our experimental observations. Simulation results of the TUMA model show that astrocytes regulate synaptic transmissions by fixing the total amount of available glutamate in the pre-synaptic neuron which in turn controls the dynamics of the SB. During SB, the tripartite TUMA synapse is basically a traditional bipartite synapse with the amount of astrocyte-controlled neurotransmitters.