Miracle-dz/UniFAR-FTUs huggingface dataset:
An overview of robust model-based fault diagnosis for satellite systems using sliding mode and learning approaches

In this paper, our work on robust fault diagnosis (FD) for satellite control systems using sliding mode and learning approaches are summarized. Firstly, a variety of nonlinear mathematical models for satellites are described and analyzed for the purpose of fault diagnosis. Then, fault diagnostic sliding mode observer with time-varying gains is presented and analyzed. Two classes of learning estimators are integrated with the sliding mode observer to construct robust fault diagnosis schemes, which are investigated as well. Finally, conclusions and future work on the health monitoring and fault diagnosis for satellite systems are proposed.
From performed to performing ethnography: translating life history research into anti‐homophobia curriculum for a teacher education program

This paper documents the translation of a performed ethnography into an anti‐homophobia curriculum activity for teacher education students. The performed ethnography, called Wearing The Secret Out, is based on the life histories of eight physical education teachers who identified as “lesbian”, “gay” and “queer”. Pedagogically, Wearing The Secret Out contains a montage of stories that require the audience to make their own meanings about how to approach anti‐homophobia teaching. Teacher education students enrolled in an anti‐homophobia course (known as a “subject” or “unit” in Australia) called Inqueeries About Education viewed the performance. They then read a complete transcript of the life history interview with one of the teachers featured in the performance. Students then created and performed their own “mini‐ethnographies” based on the interview transcript as a way of constructing their own meanings. The paper discusses how moving from performed to performing ethnography contributes to anti‐homophobia pedagogy by examining our experiences instructing the course, a videotape of the students' performances, a script from one of the students' performances and a set of “free‐writes” (LeCompte and Preissle, 1993, p. 165) written by the students in the course.
Personal Multi-view Viewpoint Recommendation based on Trajectory Distribution of the Viewing Target

Multi-camera videos with abundant information and high flexibility are expected to be useful in a wide range of applications, such as surveillance systems, web lecture broadcasting, concerts and sports viewing, etc. Viewers can enjoy a high-presence viewing experience of their own choosing by means of virtual camera switching and controlling viewing interfaces. However, some viewers may feel annoyed by continual manual viewpoint selection, especially when the number of selectable viewpoints is relatively large. In order to solve this issue, we propose an automatic viewpoint-recommending method designed especially for soccer games. This method focuses on a viewer's personal preference for viewpoint-selection, instead of common and professional editing rules. We assume that the different trajectory distributions cause a difference in the viewpoint selection according to personal preference. We therefore analyze the relationship between the viewer's personal viewpoint selecting tendency and the spatio-temporal game context. We compare methods based on a Gaussian mixture model, a general histogram+SVM and bag-of-words+SVM to seek the best representation for this relationship. The performance of the proposed methods are verified by assessing the degree of similarity between the recommended viewpoints and the viewers' edited records.
Understanding the Dimensions of Virtual Teams: A Study of Professional Students in India

Despite several efforts to bring about a clear phenomenon of virtual teams, there is still some confusion as to how virtual teams should be defined. It is probably because the characteristics of virtual teams and relationships among them have not been consistent. To address this gap, the present study explores the nature of virtual teams by analysing the perceptions of 23 professional students' pursuing full time two year Masters Programme in Business Administration, adopting the content analysis method. On the basis of multi-stage coding scheme and mutual consensus, five dimensions emerged. Results of the study, revealed that descriptors were more focused on structural, physical and technological dimensions as compared to task and social dimensions. Finally, the emerging categories were classified and arranged by using "Network View," feature embedded in Atlas.ti7 to analyse their conceptual relationship. The study may provide inputs towards building a consistent and larger understanding of how virtual teams can be defined. Based on the findings of the study, further research implications are discussed.
Erythropoietin Improved Neurologic Outcomes in Newborns With Hypoxic-Ischemic Encephalopathy

OBJECTIVE: The purpose of this study was to evaluate the efficacy and safety of erythropoietin in neonatal hypoxic-ischemic encephalopathy (HIE), by using a randomized, prospective study design. METHODS: A total of 167 term infants with moderate/severe HIE were assigned randomly to receive either erythropoietin (N = 83) or conventional treatment (N = 84). Recombinant human erythropoietin, at either 300 U/kg (N = 52) or 500 U/kg (N = 31), was administered every other day for 2 weeks, starting <48 hours after birth. The primary outcome was death or disability. Neurodevelopmental outcomes were assessed at 18 months of age. RESULTS: Complete outcome data were available for 153 infants. Nine patients dropped out during treatment, and 5 patients were lost to follow-up monitoring. Death or moderate/severe disability occurred for 35 (43.8%) of 80 infants in the control group and 18 (24.6%) of 73 infants in the erythropoietin group (P = .017) at 18 months. The primary outcomes were not different between the 2 erythropoietin doses. Subgroup analyses indicated that erythropoietin improved long-term outcomes only for infants with moderate HIE (P = .001) and not those with severe HIE (P = .227). No negative hematopoietic side effects were observed. CONCLUSION: Repeated, low-dose, recombinant human erythropoietin treatment reduced the risk of disability for infants with moderate HIE, without apparent side effects.
An adaptive locating problem for robotic grasping

The paper addresses a problem of “in-hand” locating parts of different shapes in robotic grasping. The goal of the process is to locate a part of an arbitrary shape from an imprecisely determined initial position within a gripper to a final prescribed one. Two possible approaches to solve the problem are considered: non-adaptive, using ordinary rigid jaws of gripper and, adaptive, using an adaptive jaw which improves the performance of the locating process. The latter approach is proposed to be solved by a new type of grasping mechanism. Its theoretical analysis enables to obtain formal conditions for part behavior during the successive steps of the locating process. This process was simulated and then experimentally investigated on an actual gripper model. The proposed new class of mechanisms opens a promising avenue to the creation of a practical class of universal robotic grippers for industry.
Chondroitin sulfate-chitosan nanoparticles for ocular delivery of bromfenac sodium: Improved permeation, retention, and penetration

Introduction: Superiority of topical instillation of drug into the cul-de-sac for the treatment of various ophthalmic complications can be validated with commercial availability of a large number of conventional formulations even though this mode of instillation still elicits limitations owing to poor ocular bioavailability. To overcome the drawbacks of conventional formulations, a large number of novel carriers have been investigated. In this perspective, a new novel nanocarrier, chondroitin sulfate (ChS)-chitosan (CS)-nanoparticles (NPs) are being evaluated for improved delivery of bromfenac sodium. Materials and Methods: Formulation was developed and optimized for CS, chondroitin, and initial drug concentration. Optimized formulation was evaluated for various in vitro aspects i.e., particles′ size, size distribution, zeta potential, shape and morphology, in vitro release profile, corneal permeation, corneal retention, corneal uptake, and ocular tolerance test. Results: The mean particle size, polydispersity index, zeta potential, and entrapment efficiency of optimized formulation were found to be 245.6 ± 14.22 nm, 0.187 ± 0.016, +37.59 ± 4.05 mV, and 71.72 ± 4.43%, respectively. Transmission electron microscopic analysis revealed a spherical shape of developed formulation. Further, formulation exhibited biphasic release profile and Korsmeyer-Peppas model was found to be the best fit model. Significantly high transcorneal permeation (1.62-fold) and corneal retention (1.92-fold) of bromfenac was observed through ChS-CS-NPs when compared with marketed eyedrops (P < 0.01). Furthermore, high corneal uptake of CHS-CS-NPs was confirmed by confocal laser scanning microscopy (CLSM). Safety profile of the developed formulation was established by hen′s egg test-chorioallantoic membrane test. Conclusion: Encouraging outcomes of in vitro and ex vivo studies indicated that CHS-CS-NPs could be a potential substitute for improved ocular delivery.
Effective Lagrangian in the Randall-Sundrum model and electroweak physics

We consider the two-brane Randall-Sundrum (RS) model with bulk gauge fields. We carefully match the bulk theory to a 4D low-energy effective Lagrangian. In addition to the four-fermion operators induced by KK exchange we find that large negative S and T parameters are induced in the effective theory. This is a tree-level effect and is a consequence of the shapes of the W and Z wave functions in the bulk. Such effects are generic in extra dimensional theories where the standard model (SM) gauge bosons have non-uniform wave functions along the extra dimension. The corrections to precision electroweak observables in the RS model are mostly dominated by S. We fit the parameters of the RS model to the experimental data and find somewhat stronger bounds than previously obtained; however, the standard model bound on the Higgs mass from precision measurements can only be slightly relaxed in this theory.
The vSLAM Algorithm for Robust Localization and Mapping

This paper presents the Visual Simultaneous Localization and Mapping (vSLAMTM) algorithm, a novel algorithm for simultaneous localization and mapping (SLAM). The algorithm is vision-and odometry-based, and enables low-cost navigation in cluttered and populated environments. No initial map is required, and it satisfactorily handles dynamic changes in the environment, for example, lighting changes, moving objects and/or people. Typically, vSLAM recovers quickly from dramatic disturbances, such as “kidnapping”.
Enrichment of Large-Diameter Single-Walled Carbon Nanotubes (SWNTs) with Metallo-Octaethylporphyrins

We report here a detailed experimental investigation on noncovalent functionalization of single-walled carbon nanotubes (SWNTs) with four different metallo-octaethylporphyrins (MOEPs). It has been found that the identity of the center metal of MOEP strongly influences the solubilization of SWNTs. MnOEPs and ZnOEPs successfully extracted SWNTs in methanol, as confirmed by absorption spectroscopy, while CoOEPs and CuOEPs were not able to extract SWNTs at all. Atomic force microscopy (AFM) studies revealed that large SWNTs bundles could be exfoliated into either individual SWNTs or very small bundles by complexation with ZnOEP molecules. As for enrichment of SWNTs, ZnOEPs and MnOEPs show similar diameter discrimination ability toward 76-CoMoCAT, providing the extracted SWNTs with relatively large diameters.
Community Search over Big Graphs: Models, Algorithms, and Opportunities

Communities serve as basic structures for understanding the organization of many real-world networks, such as social, biological, collaboration, and communication networks. Recently, community search over large graphs has attracted significantly increasing attention, from simple and static graphs to evolving, attributed, location-based graphs. Different from the well-studied problem of community detection that finds all communities in an entire network, community search is to find the cohesive communities w.r. t. the query nodes. In this tutorial, we survey the state-of-the-art of community search on various kinds of networks across different application areas such as densely-connected community search, attributed community search, social circle discovery, and querying geosocial groups. We first highlight the challenges posed by the community search problems. We continue the presentation of their principles, methodologies, algorithms, and applications, and give a comprehensive comparison of the state-of-the-art techniques. This tutorial finally concludes by offering future directions for research in this important and growing area.
The Communicative Turn in Planning Theory and its Implications for Spatial Strategy Formation

There is an increasing contemporary interest, particularly in Europe, in the spatial organization of urban regions and in spatial strategy. But there is a general loss of confidence in political systems as mechanisms for conflict mediation and the strategic management of collective affairs. This raises questions about how stakeholders in spatial change in urban regions get to understand the complex dynamics of urban regions, how they get to agree on strategies and actions, and how this may be translated into influence on events. In this paper I explore the potential of the new ideas about public argumentation and communicative policy practice developing in the field of planning theory for addressing the task of strategic spatial strategy-making. I first outline the ideas, and then develop them into an approach focused around questions about the forums and arenas where spatial strategy-making takes place, and who gets access to them; the style of discussion, the way issues are identified and filtered; how new policy discourses emerge, and how agreements are reached and monitored. Throughout, I emphasise the locally contingent ways in which policy processes are invented by political communities in relation to their particular economic, social, environmental, and political circumstances.
Natural polyphenols in cancer therapy

Natural polyphenols are secondary metabolites of plants involved in defense against different types of stress. Extracts containing these compounds have been used for thousands of years in traditional eastern medicine. Polyphenols act on multiple targets in pathways and mechanisms related to carcinogenesis, tumor cell proliferation and death, inflammation, metastatic spread, angiogenesis, or drug and radiation resistance. Nevertheless, reported effects claimed for polyphenols are controversial, since correlations between in vitro effects and in vivo evidence are poorly established. The main discrepancy between health claims versus clinical observations is the frequent use of nonphysiologically relevant concentrations of these compounds and their metabolites in efficacy and mechanistic studies. The present review will discuss how in vivo administration correlates with polyphenol metabolism, toxicity, and bioavailability. Analysis of the general application of polyphenols in cancer therapy will be complemented by potential applications in the therapy of specific tumors, including melanoma, colorectal and lung cancers. Possible pharmaceutical formulations, structural modifications, combinations, and delivery systems aimed to increase bioavailability and/or biological effects will be discussed. Final remarks will include recommendations for future research and developments.
Inflammatory and Bone Remodeling Responses to the Cytolethal Distending Toxins

The cytolethal distending toxins (CDTs) are a family of exotoxins produced by a wide range of Gram-negative bacteria. They are known for causing genotoxic stress to the cell, resulting in growth arrest and eventually apoptotic cell death. Nevertheless, there is evidence that CDTs can also perturb the innate immune responses, by regulating inflammatory cytokine production and molecular mediators of bone remodeling in various cell types. These cellular and molecular events may in turn have an effect in enhancing local inflammation in diseases where CDT-producing bacteria are involved, such as Aggregatibacter actinomycetemcomitans, Haemophilus ducreyi, Campylobacter jejuni and Helicobacter hepaticus. One special example is the induction of pathological bone destruction in periodontitis. The opportunistic oral pathogen Aggregatibatcer actinoycemetemcomitans, which is involved in the aggressive form of the disease, can regulate the molecular mechanisms of bone remodeling in a manner that favors bone resorption, with the potential involvement of its CDT. The present review provides an overview of all known to-date inflammatory or bone remodeling responses of CDTs produced by various bacterial species, and discusses their potential contribution to the pathogenesis of the associated diseases.
Decomposition and distributed algorithms for home healthcare routing and scheduling problem

Many people in need of care still live in their homes, requiring the caretakers to travel to them. Assigning the people to caretakers and generating their schedules can be formulated as a mixed integer linear programming problem (MILP) that inherits many features of the well-known vehicle routing problem with time windows (VRPTW). Currently, the most successful exact algorithms for VRPTW are based on branch and price framework, which combine column generation (CG) and branching. While these methods could be successful for Home Healthcare Routing and Scheduling Problem (HHCRSP) as well, fast approximate algorithms are appealing, especially for large problems. We recently employed a heuristic distributed gossip algorithm to solve HHCRSP. The method had the potential to provide approximate solutions for relatively large problem instances, but its effectiveness was limited to the performance of its local MILP solver. In this paper, we integrate the gossip algorithm with a local solver based on CG, which makes it an effective algorithm for larger problem instances. We also provide numerical experiments and complexity evaluations of the improved gossip algorithm (gossip-CG) with the standard gossip (gossip-MILP) and CG, and show that gossip-CG outperforms the pure CG in case of large problems.
Coalitional behaviour in theory and practice: An inductive model for Western Europe

List of illustrations List of tables Notes on the contributors Preface 1. An inductive theoretical framework for coalitional behaviour: political parties in multi-dimensional perspective in Western Europe Geoffrey Pridham 2. Between theoretical elegance and political reality: deductive models and cabinet coalitions in Europe Michael Laver 3. Changing coalitional preferences among West German parties Ursula Hoffmann-Lange 4. The FDP and coalitional behaviour in the Federal Republic of Germany: multi-dimensional perspectives on the role of a pivotal party David Broughton and Emil Kirchner 5. Cabinet stability in the French Fourth Republic: the Ramadier coalition government of 1947 Eric C. Browne and Dennis W. Gleiber 6. Coalition formation and maintenance in Belgium: a case-study of elite behaviour and changing cleavage structure, 1965-1981 Christ Rudd 7. The Dutch Christian Democratic party and coalitional behaviour in the Netherlands: a pivotal party in the face of depillarisation Jan de Jong and Bert Pijnenburg 8. Coalition or Fianna Fail? the politics of inter-party government in Ireland Michael Laver and Michael D. Higgins 9. Italy's party democracy and coalitional behaviour: a case-study in multi-dimensionality Geoffrey Pridham 10. Party coalitions in the first democratic period in Spain, 1977-1982 Jordi Capo 11. Coalitional theory and practice in Scandinavia John Fitzmaurice 12. Multi-dimensional approaches to the study of local coalitions: some cross-national comparisons Colin Mellors and Patricia Brearey 13a. Research notes: a note on the empirical analysis of coalition policy Michael Laver 13b. An events conceptualisation of cabinet stability: a research programme Eric C. Browne and Dennis W. Gleiber Notes References Index.
Fetal programming of mental health by acetaminophen? Response to the SMFM statement: prenatal acetaminophen use and ADHD

ABSTRACT Introduction: A number of studies indicate that acetaminophen taken during pregnancy may have a programming effect on the fetal brain development. The potential adverse consequences may only surface to clinical detection years later. Should we act on these findings now or do we wait for additional evidence? Areas covered: We argue for action inspired by these well analyzed studies that are based on five prospective cohorts data collected from different countries. Several analytical options have been employed especially to address confounding, and all analyses have consistently suggested that confounding alone is an unlikely explanation for this disturbing observation. Expert opinion: Acetaminophen is often used for minor symptom or discomfort where the treatment has no strong indication and carries little, if any risk for the pregnant women. The harm of doing nothing may well exceed the harm for taking precautionary actions considering the consequences at stake.
The Therapeutic Incarceration of Homeless Families

We discovered from a sample of 340 homeless families that services designed to aid them emerged from two, often conflicting, scrambles for resources. Social service providers parlayed public sentiment toward homelessness into service-intensive programs. The homeless took advantage of such programs, not necessarily for the services, but as a way to more quickly get subsidized housing. The result was an unintentional conflict of interest and failed policy. The homeless remained in the program longer than assumed because of a shortage of subsidized housing and because the regimented services ultimately undermined what fragile social networks they had previously devised to survive.
Contingency based congestion management and cost minimization using bee colony optimization technique

Unexpected contingency occurrence in a power system network can lead to high current flow in the system. This has made the system to be in a stressed condition which causes congestion to the system, while instability can be the next unpredictable incident. High current flow may also impose high fuel cost of the generators. Thus, congestion needs to be managed properly in order to reduce the undesired current flow in the transmission line for maintaining system security. This paper presents contingency based congestion management and cost minimization using bee colony optimization technique. In this study, bee colony optimization technique is applied to optimize the current flow in the system such that system security is preserved; considering transmission lines as the control variables. N-1 contingency is considered as the forecasted event, implemented offline so that the performance of the system can be evaluated. Cost minimization is also conducted by controlling the transmission constraints in the system. Validation through the IEEE 30-reliability test system and 6-Bus test system are conducted to simulate the scenarios.