Visual Object Tracking in First Person Vision

The understanding of human-object interactions is fundamental in First Person Vision (FPV). Visual tracking algorithms which follow the objects manipulated by the camera wearer can provide useful information to effectively model such interactions. In the last years, the computer vision community has significantly improved the performance of tracking algorithms for a large variety of target objects and scenarios. Despite a few previous attempts to exploit trackers in the FPV domain, a methodical analysis of the performance of state-of-the-art trackers is still missing. This research gap raises the question of whether current solutions can be used “off-the-shelf” or more domain-specific investigations should be carried out. This paper aims to provide answers to such questions. We present the first systematic investigation of single object tracking in FPV. Our study extensively analyses the performance of 42 algorithms including generic object trackers and baseline FPV-specific trackers. The analysis is carried out by focusing on different aspects of the FPV setting, introducing new performance measures, and in relation to FPV-specific tasks. The study is made possible through the introduction of TREK-150, a novel benchmark dataset composed of 150 densely annotated video sequences. Our results show that object tracking in FPV poses new challenges to current visual trackers. We highlight the factors causing such behavior and point out possible research directions. Despite their difficulties, we prove that trackers bring benefits to FPV downstream tasks requiring short-term object tracking. We expect that generic object tracking will gain popularity in FPV as new and FPV-specific methodologies are investigated

Exploring the topology of the plausible: Fs/QCA counterfactual analysis and the plausible fit of unobserved organizational configurations

The main aim of this contribution is to expand the dominant rationale of organizational design research by including solutions and possibilities not observed in reality. We believe that the counterfactual approach to configurations responds to an open call in organization theory and strategy to move the modelling of fit towards a more robust and theory-based specification. With this new approach we propose to rediscover the roots of organization design as a distinct normative discipline that ‘should stand approximately in relation to the basic social sciences as engineering stands with respect to physical sciences or medicine to the biological’. At a more general level, our view implies an expansion of the dominant meaning of the concept of ‘relevance’ in management research. While we agree with Gulati (2007: 780) that we as scholars should probe ‘more deeply into the problems and other issues that managers care about’, we also believe that relevance does not necessarily mean that researchers have to use an ex-post rationality by studying only empirically frequent phenomena. In contrast, we think that any management esearcher should bring with her or himself a fragment of the spirit of the great Greek philosopher Anaximander (c. 610–c. 546 BC), who foresaw the concept of the infinite universe without the support of any empirical observation and against the predominant wisdom of the time. Not by chance, Karl Popper (1998) onsidered Anaximander’s intuitions among the most vivid demonstrations of the power of human thought and logic

Dental Hygienists\u27 Knowledge of HIV, Attitudes Towards People with HIV and Willingness to Conduct Rapid HIV Testing

This study was aimed to determine the dental hygienists\u27 knowledge of HIV, attitudes towards people living with HIV and willingness to conduct rapid HIV testing

Author Correction: Longitudinal assessment of tumor development using cancer avatars derived from genetically engineered pluripotent stem cells.

An amendment to this paper has been published and can be accessed via a link at the top of the paper

Forward to the production of Cobalt-57 sources for Mössbauer spectroscopy in Argentina

La disponibilidad de isótopos radiactivos para Espectroscopía Mössbauer (EM) constituye en nuestro país una problemática que involucra diversos aspectos. En la presente comunicación se analiza esta situación considerando en particular 57Co, el isótopo Mössbauer más utilizado. Se describen reacciones nucleares adecuadas para la producción de 57Co. Se consideran distintas matrices sólidas comúnmente utilizadas en la fabricación de fuentes Mössbauer. Se discute el beneficio de fabricar estas fuentes en nuestro país. Como un primer paso en este sentido se propone dopar muestras con 57Co para realizar EM de emisión. Interesa particularmente este modo a los fines de caracterizar materiales biológicos. Nuestro objetivo es establecer facilidades de obtención y tratamiento de este isótopo en la Argentina.The availability of radioactive isotopes for Mössbauer Spectroscopy (MS) constitutes in our country a problematic that involves several aspects. In the present communication this situation is analyzed by considering in particular 57Co, the most widely used Mössbauer isotope. Adequate nuclear reactions for the production of 57Co are described. Different solid matrices commonly used in the manufacture of Mössbauer sources are considered. The benefit of manufacturing these sources in our country is discussed. As a first step in this sense, it is proposed to dope samples with 57Co in order to perform emission MS. This mode interests particularly with the aim of characterize biological materials. Our purpose is to establish facilities to obtain and to treat this isotope in Argentina.Facultad de Ciencias Exacta

Knowledge, attitudes and behaviors regarding influenza vaccination among Hygiene and Preventive Medicine residents in Calabria and Sicily.

Vaccinating health care workers is considered to be one of the most important steps in preventing the transmission of the influenza virus to vulnerable patients. Public Health physicians are the main promoters and executors of influenza vaccination campaigns for both healthcare workers and the general population. The objective of the present survey was to analyze the knowledge, attitudes and practices regarding influenza vaccination among Hygiene and Preventive Medicine Residents. 64% of the participants had not been vaccinated against the influenza virus in the past 5 years, and 29% had been vaccinated only occasionally , with only 7.2% of the study popu-lation having been vaccinated every year. 20.3% of those surveyed were vaccinated in the 2010/2011 season. The best strategy to increase vaccination rates among health care workers according to the study participants was the participation of future public health operators to multidisciplinary training (34.8%). the main factors associated with influenza vaccination compliance were having been vaccinated in the previous season for 2011/2012 (OR [95%]: 41.14 [7.56 - 223.87]) and having received the vaccination always or occasionally during the previous 5 years for both 2010/2011 (p-value <0.0001) and 2011/2012 (p-value <0.0001). The findings of this study suggest that future public health physicians with a history of refusing influenza vaccination in previous years usually tend to maintain their beliefs over time. Changing this trend among Hygiene and Preventive Medicine residents is the real challenge for the future, and it can be achieved through organization of multidisciplinary training, improvement of university education and increasing the involvement of Hygiene and Preventive Medicine residents in influenza vaccination campaigns both for the gen-eral population and health care workers

Genome-wide shRNA screen revealed integrated mitogenic signaling between dopamine receptor D2 (DRD2) and epidermal growth factor receptor (EGFR) in glioblastoma

Glioblastoma remains one of the deadliest of human cancers, with most patients succumbing to the disease within two years of diagnosis. The available data suggest that simultaneous inactivation of critical nodes within the glioblastoma molecular circuitry will be required for meaningful clinical efficacy. We conducted parallel genome-wide shRNA screens to identify such nodes and uncovered a number of G-Protein Coupled Receptor (GPCR) neurotransmitter pathways, including the Dopamine Receptor D2 (DRD2) signaling pathway. Supporting the importance of DRD2 in glioblastoma, DRD2 mRNA and protein expression were elevated in clinical glioblastoma specimens relative to matched non-neoplastic cerebrum. Treatment with independent si-/shRNAs against DRD2 or with DRD2 antagonists suppressed the growth of patient-derived glioblastoma lines both in vitro and in vivo. Importantly, glioblastoma lines derived from independent genetically engineered mouse models (GEMMs) were more sensitive to haloperidol, an FDA approved DRD2 antagonist, than the premalignant astrocyte lines by approximately an order of magnitude. The pro-proliferative effect of DRD2 was, in part, mediated through a GNAI2/Rap1/Ras/ERK signaling axis. Combined inhibition of DRD2 and Epidermal Growth Factor Receptor (EGFR) led to synergistic tumoricidal activity as well as ERK suppression in independent in vivo and in vitro glioblastoma models. Our results suggest combined EGFR and DRD2 inhibition as a promising strategy for glioblastoma treatment

Capturing Causal Complexity: Heuristics for Configurational Theorizing

Management scholars study phenomena marked by complex interdependencies where multiple explanatory factors combine to bring about an outcome of interest. Yet, theorizing about causal complexity can prove challenging for the correlational theorizing that is predominant in the field of management, given its “net effects thinking” that emphasizes the unique contribution of individual explanatory factors. In contrast, configurational theories and thinking are well-suited to explaining causally complex phenomena. In this article, we seek to advance configurational theorizing by providing a model of the configurational theorizing process which consists of three iterative stages—scoping, linking and naming. In each stage, we develop and offer several heuristics aimed at stimulating configurational theorizing. That is, these theorizing heuristics are intended to help scholars discover configurations of explanatory factors, probe the connections among these factors, and articulate the orchestrating themes that underpin their coherence. We conclude with a discussion of how configurational theorizing advances theory development in the field of management and organizations, and beyond

Deep execution monitor for robot assistive tasks

We consider a novel approach to high-level robot task execution for a robot assistive task. In this work we explore the problem of learning to predict the next subtask by introducing a deep model for both sequencing goals and for visually evaluating the state of a task. We show that deep learning for monitoring robot tasks execution very well supports the interconnection between task-level planning and robot operations. These solutions can also cope with the natural non-determinism of the execution monitor. We show that a deep execution monitor leverages robot performance. We measure the improvement taking into account some robot helping tasks performed at a warehouse