Showing papers by "University of Central Florida published in 2016"
TL;DR: In this paper, the authors present a set of guidelines for the selection and interpretation of methods for use by investigators who aim to examine macro-autophagy and related processes, as well as for reviewers who need to provide realistic and reasonable critiques of papers that are focused on these processes.
Abstract: In 2008 we published the first set of guidelines for standardizing research in autophagy. Since then, research on this topic has continued to accelerate, and many new scientists have entered the field. Our knowledge base and relevant new technologies have also been expanding. Accordingly, it is important to update these guidelines for monitoring autophagy in different organisms. Various reviews have described the range of assays that have been used for this purpose. Nevertheless, there continues to be confusion regarding acceptable methods to measure autophagy, especially in multicellular eukaryotes.
For example, a key point that needs to be emphasized is that there is a difference between measurements that monitor the numbers or volume of autophagic elements (e.g., autophagosomes or autolysosomes) at any stage of the autophagic process versus those that measure flux through the autophagy pathway (i.e., the complete process including the amount and rate of cargo sequestered and degraded). In particular, a block in macroautophagy that results in autophagosome accumulation must be differentiated from stimuli that increase autophagic activity, defined as increased autophagy induction coupled with increased delivery to, and degradation within, lysosomes (in most higher eukaryotes and some protists such as Dictyostelium) or the vacuole (in plants and fungi). In other words, it is especially important that investigators new to the field understand that the appearance of more autophagosomes does not necessarily equate with more autophagy. In fact, in many cases, autophagosomes accumulate because of a block in trafficking to lysosomes without a concomitant change in autophagosome biogenesis, whereas an increase in autolysosomes may reflect a reduction in degradative activity. It is worth emphasizing here that lysosomal digestion is a stage of autophagy and evaluating its competence is a crucial part of the evaluation of autophagic flux, or complete autophagy.
Here, we present a set of guidelines for the selection and interpretation of methods for use by investigators who aim to examine macroautophagy and related processes, as well as for reviewers who need to provide realistic and reasonable critiques of papers that are focused on these processes. These guidelines are not meant to be a formulaic set of rules, because the appropriate assays depend in part on the question being asked and the system being used. In addition, we emphasize that no individual assay is guaranteed to be the most appropriate one in every situation, and we strongly recommend the use of multiple assays to monitor autophagy. Along these lines, because of the potential for pleiotropic effects due to blocking autophagy through genetic manipulation, it is imperative to target by gene knockout or RNA interference more than one autophagy-related protein. In addition, some individual Atg proteins, or groups of proteins, are involved in other cellular pathways implying that not all Atg proteins can be used as a specific marker for an autophagic process. In these guidelines, we consider these various methods of assessing autophagy and what information can, or cannot, be obtained from them. Finally, by discussing the merits and limits of particular assays, we hope to encourage technical innovation in the field.
5,187 citations
TL;DR: The results demonstrate that the roughness of oxide-derived copper catalysts plays only a partial role in determining the catalytic performance, while the presence of copper+ is key for lowering the onset potential and enhancing ethylene selectivity.
Abstract: There is an urgent need to develop technologies that use renewable energy to convert waste products such as carbon dioxide into hydrocarbon fuels. Carbon dioxide can be electrochemically reduced to hydrocarbons over copper catalysts, although higher efficiency is required. We have developed oxidized copper catalysts displaying lower overpotentials for carbon dioxide electroreduction and record selectivity towards ethylene (60%) through facile and tunable plasma treatments. Herein we provide insight into the improved performance of these catalysts by combining electrochemical measurements with microscopic and spectroscopic characterization techniques. Operando X-ray absorption spectroscopy and cross-sectional scanning transmission electron microscopy show that copper oxides are surprisingly resistant to reduction and copper(+) species remain on the surface during the reaction. Our results demonstrate that the roughness of oxide-derived copper catalysts plays only a partial role in determining the catalytic performance, while the presence of copper(+) is key for lowering the onset potential and enhancing ethylene selectivity.
854 citations
TL;DR: In 2014, the Association for Multicultural Counseling and Development (AMCD) appointed a committee to revise the Multicultural and Social Justice Counseling Competencies (MSJCC) as discussed by the authors.
Abstract: In 2014, the Association for Multicultural Counseling and Development (AMCD) appointed a committee to revise the Multicultural Counseling Competencies developed by Sue, Arredondo, and McDavis in 1992 and operationalized by Arredondo et al. in 1996. This article reflects the updated competencies, titled the Multicultural and Social Justice Counseling Competencies (MSJCC; Ratts, Singh, Nassar-McMillan, Butler, & McCullough, 2015a), which were endorsed by AMCD on June 29, 2015, and by the American Counseling Association on July 20, 2015. A conceptual framework of the MSJCC visually depicts the relationships among the competencies' key constructs: multicultural and social justice praxis, quadrants, domains, and competencies. Implications are discussed.
En 2014, la Asociacion para la Consejeria y el Desarrollo Multicultural (AMCD, en sus siglas en ingles) formo un comite para revisar las Competencias en Consejeria Multicultural desarrolladas por Sue, Arredondo y McDavis en 1992 y operacionalizadas por Arredondo et al. en 1996. Este articulo refleja las competencias actualizadas, denominadas Competencias en Consejeria Multicultural y de Justicia Social (MSJCC, en sus siglas en ingles; Ratts, Singh, Nassar-McMillan, Butler, & McCullough, 2015a), que fueron avaladas por la AMCD el 29 de junio de 2015 y por la Asociacion Americana de Consejeria el 20 de julio de 2015. Un marco conceptual de las MSJCC muestra visualmente las relaciones entre los constructos principales de las competencias: la praxis multicultural y en justicia social, los cuadrantes, dominios y competencias. Se discuten las implicaciones.
719 citations
Peking University1, Princeton University2, Huazhong University of Science and Technology3, National University of Singapore4, National Tsing Hua University5, Academia Sinica6, University of Central Florida7, Los Alamos National Laboratory8, South University of Science and Technology of China9, University of Hong Kong10
TL;DR: Signs of the Weyl fermion chiral anomaly in the magneto-transport of TaAs are reported and it is observed that high mobility TaAs samples become more conductive as a magnetic field is applied along the direction of the current for certain ranges of the field strength.
Abstract: Weyl semimetals provide the realization of Weyl fermions in solid-state physics. Among all the physical phenomena that are enabled by Weyl semimetals, the chiral anomaly is the most unusual one. Here, we report signatures of the chiral anomaly in the magneto-transport measurements on the first Weyl semimetal TaAs. We show negative magnetoresistance under parallel electric and magnetic fields, that is, unlike most metals whose resistivity increases under an external magnetic field, we observe that our high mobility TaAs samples become more conductive as a magnetic field is applied along the direction of the current for certain ranges of the field strength. We present systematically detailed data and careful analyses, which allow us to exclude other possible origins of the observed negative magnetoresistance. Our transport data, corroborated by photoemission measurements, first-principles calculations and theoretical analyses, collectively demonstrate signatures of the Weyl fermion chiral anomaly in the magneto-transport of TaAs.
642 citations
TL;DR: In this article, the use of nanostructured materials for improving catalytic reactivity is analysed in the context of model reactions of O2 reduction, CO2 electroreduction and ethanol oxidation.
Abstract: The field of electrocatalysis has undergone tremendous advancement in the past few decades, in part owing to improvements in catalyst design at the nanoscale. These developments have been crucial for the realization of and improvement in alternative energy technologies based on electrochemical reactions such as fuel cells. Through the development of novel synthesis methods, characterization techniques and theoretical methods, rationally designed nanoscale electrocatalysts with tunable activity and selectivity have been achieved. This Review explores how nanostructures can be used to control electrochemical reactivity, focusing on three model reactions: O2 electroreduction, CO2 electroreduction and ethanol electrooxidation. The mechanisms behind nanoscale control of reactivity are discussed, such as the presence of low-coordinated sites or facets, strain, ligand effects and bifunctional effects in multimetallic materials. In particular, studies of how particle size, shape and composition in nanostructures can be used to tune reactivity are highlighted. New catalysis materials are required for electrochemical reactions that are vital for clean energy production and environmental remediation. The use of nanostructured materials for improving catalytic reactivity is analysed in this Review in the context of model reactions of O2 reduction, CO2 electroreduction and ethanol oxidation.
637 citations
TL;DR: The importance of social and tactile need fulfillment variables such as FoMO and need for touch as critical mechanisms that can explain problematic smartphone use and its association with depression and anxiety is demonstrated.
513 citations
TL;DR: A new approach is investigated that hybridizes multiple views of behaviors (called behavior characterizations) in the same run, which succeeds in overcoming some of the challenges associated with searching for QD with respect to a behavior characterization that is not necessarily sufficient for generating both quality and diversity at the same time.
Abstract: While evolutionary computation and evolutionary robotics take inspiration from nature, they have long focused mainly on problems of performance optimization. Yet evolution in nature can be interpreted as more nuanced than a process of simple optimization. In particular, natural evolution is a divergent search that optimizes locally within each niche as it simultaneously diversifies. This tendency to discover both quality and diversity at the same time differs from many of the conventional algorithms of machine learning, and also thereby suggests a different foundation for inferring the approach of greatest potential for evolutionary algorithms. In fact, several recent evolutionary algorithms called quality diversity (QD) algorithms(e.g. novelty search with local competition and MAP-Elites) have drawn inspiration from this more nuanced view, aiming to fill a space of possibilities with the best possible example of each type of achievable behavior. The result is a new class of algorithms that return an archive of diverse, high-quality behaviors in a single run. The aim in this paper is to study the application of QD algorithms in challenging environments (in particular complex mazes) to establish their best practices for ambitious domains in the future. In addition to providing insight into cases when QD succeeds and fails, a new approach is investigated that hybridizes multiple views of behaviors (called behavior characterizations) in the same run, which succeeds in overcoming some of the challenges associated with searching for QD with respect to a behavior characterization that is not necessarily sufficient for generating both quality and diversity at the same time.
466 citations
08 Oct 2016
TL;DR: It is shown that there is a large gap between the performance of existing approaches and the performance limit of GZSL, suggesting that improving the quality of class semantic embeddings is vital to improving ZSL.
Abstract: We investigate the problem of generalized zero-shot learning (GZSL). GZSL relaxes the unrealistic assumption in conventional zero-shot learning (ZSL) that test data belong only to unseen novel classes. In GZSL, test data might also come from seen classes and the labeling space is the union of both types of classes. We show empirically that a straightforward application of classifiers provided by existing ZSL approaches does not perform well in the setting of GZSL. Motivated by this, we propose a surprisingly simple but effective method to adapt ZSL approaches for GZSL. The main idea is to introduce a calibration factor to calibrate the classifiers for both seen and unseen classes so as to balance two conflicting forces: recognizing data from seen classes and those from unseen ones. We develop a new performance metric called the Area Under Seen-Unseen accuracy Curve to characterize this trade-off. We demonstrate the utility of this metric by analyzing existing ZSL approaches applied to the generalized setting. Extensive empirical studies reveal strengths and weaknesses of those approaches on three well-studied benchmark datasets, including the large-scale ImageNet with more than 20,000 unseen categories. We complement our comparative studies in learning methods by further establishing an upper bound on the performance limit of GZSL. In particular, our idea is to use class-representative visual features as the idealized semantic embeddings. We show that there is a large gap between the performance of existing approaches and the performance limit, suggesting that improving the quality of class semantic embeddings is vital to improving ZSL.
454 citations
TL;DR: This work expands on the previous meta-analytic foundation in the field of human–robot interaction to include all of automation interaction to provide a quantitative representation of factors influencing the development of trust in automation and identify additional areas of needed empirical research.
Abstract: Objective:We used meta-analysis to assess research concerning human trust in automation to understand the foundation upon which future autonomous systems can be built.Background:Trust is increasingly important in the growing need for synergistic human–machine teaming. Thus, we expand on our previous meta-analytic foundation in the field of human–robot interaction to include all of automation interaction.Method:We used meta-analysis to assess trust in automation. Thirty studies provided 164 pairwise effect sizes, and 16 studies provided 63 correlational effect sizes.Results:The overall effect size of all factors on trust development was ḡ = +0.48, and the correlational effect was r¯ = +0.34, each of which represented medium effects. Moderator effects were observed for the human-related (ḡ = +0.49; r¯ = +0.16) and automation-related (ḡ = +0.53; r¯ = +0.41) factors. Moderator effects specific to environmental factors proved insufficient in number to calculate at this time.Conclusion:Findings provide a quan...
421 citations
TL;DR: The authors examined the underpinnings of satisfied and unsatisfied hotel customers and found that satisfied customers who are willing to recommend a hotel to others refer to intangible aspects of their hotel stay, such as staff members, more often than unsatisfied customers.
Abstract: This article aims to examine the underpinnings of satisfied and unsatisfied hotel customers. A text-mining approach was followed and online reviews by satisfied and dissatisfied customers were compared. Online reviews of 2,510 hotel guests were collected from TripAdvisor.com for Sarasota, Florida. The research findings revealed some common categories that are used in both positive and negative reviews, including place of business (e.g., hotel, restaurant, and club), room, furnishing, members, and sports. Study results further indicate that satisfied customers who are willing to recommend a hotel to others refer to intangible aspects of their hotel stay, such as staff members, more often than unsatisfied customers. On the other hand, dissatisfied customers mention more frequently the tangible aspects of the hotel stay, such as furnishing and finances. The study offers clear theoretical and managerial implications pertaining to understanding of satisfied and dissatisfied customers through the use of text mi...
389 citations
TL;DR: A simple yet general swelling-deswelling microencapsulation strategy has been developed to achieve well dispersed and intimately passivated crystalline organic-inorganic perovskites nanoparticles within polymer matrixes and results in a series of highly luminescent CH3 NH3 Pb Br3 (MAPbBr3 )-polymer composite films with unprecedented water and thermal stabilities and superior color purity.
Abstract: A simple yet general swelling-deswelling microencapsulation strategy has been developed to achieve well dispersed and intimately passivated crystalline organic-inorganic perovskites nanoparticles within polymer matrixes and results in a series of highly luminescent CH3 NH3 PbBr3 (MAPbBr3 )-polymer composite films with unprecedented water and thermal stabilities and superior color purity.
TL;DR: Oxybenzone poses a hazard to coral reef conservation and threatens the resiliency of coral reefs to climate change, and is a skeletal endocrine disruptor to corals.
Abstract: Benzophenone-3 (BP-3; oxybenzone) is an ingredient in sunscreen lotions and personal-care products that protects against the damaging effects of ultraviolet light. Oxybenzone is an emerging contaminant of concern in marine environments—produced by swimmers and municipal, residential, and boat/ship wastewater discharges. We examined the effects of oxybenzone on the larval form (planula) of the coral Stylophora pistillata, as well as its toxicity in vitro to coral cells from this and six other coral species. Oxybenzone is a photo-toxicant; adverse effects are exacerbated in the light. Whether in darkness or light, oxybenzone transformed planulae from a motile state to a deformed, sessile condition. Planulae exhibited an increasing rate of coral bleaching in response to increasing concentrations of oxybenzone. Oxybenzone is a genotoxicant to corals, exhibiting a positive relationship between DNA-AP lesions and increasing oxybenzone concentrations. Oxybenzone is a skeletal endocrine disruptor; it induced ossification of the planula, encasing the entire planula in its own skeleton. The LC50 of planulae exposed to oxybenzone in the light for an 8- and 24-h exposure was 3.1 mg/L and 139 µg/L, respectively. The LC50s for oxybenzone in darkness for the same time points were 16.8 mg/L and 779 µg/L. Deformity EC20 levels (24 h) of planulae exposed to oxybenzone were 6.5 µg/L in the light and 10 µg/L in darkness. Coral cell LC50s (4 h, in the light) for 7 different coral species ranges from 8 to 340 µg/L, whereas LC20s (4 h, in the light) for the same species ranges from 0.062 to 8 µg/L. Coral reef contamination of oxybenzone in the U.S. Virgin Islands ranged from 75 µg/L to 1.4 mg/L, whereas Hawaiian sites were contaminated between 0.8 and 19.2 µg/L. Oxybenzone poses a hazard to coral reef conservation and threatens the resiliency of coral reefs to climate change.
TL;DR: In this article, forced convection heat transfer in a semi annulus lid under the influence of a variable magnetic field was studied, and the authors used the Control Volume based Finite Element Method (CVFEM) to solve the governing equations considering both Ferrohydrodynamic (FHD) and Magnetohydrodynamics (MHD) effects.
TL;DR: CRISPRainbow, a system for labeling DNA in living cells based on nuclease-dead Cas9 combined with engineered single guide RNA (sgRNA) scaffolds that bind sets of fluorescent proteins, is described.
Abstract: A lack of techniques to image multiple genomic loci in living cells has limited our ability to investigate chromosome dynamics. Here we describe CRISPRainbow, a system for labeling DNA in living cells based on nuclease-dead (d) Cas9 combined with engineered single guide RNA (sgRNA) scaffolds that bind sets of fluorescent proteins. We demonstrate simultaneous imaging of up to six chromosomal loci in individual live cells and document large differences in the dynamic properties of different chromosomal loci.
TL;DR: In this article, the spinless nodal fermion semimetal phase in ZrSiS was established using angle-resolved photoemission spectroscopy and first-principles calculations.
Abstract: The search for new topological phases of matter is a major new direction in condensed matter physics. Recent experimental realizations of Dirac and Weyl semimetal phases pave the way to look for other exotic phases of matter in real materials. In this paper, the authors present a systematic angle-resolved photoemission spectroscopy study of ZrSiS, a potential topological nodal semimetal candidate. Their systematic measurements establish the spinless nodal fermion semimetal phase in ZrSiS, which is supported by their first-principles calculations. This work puts forward the ZrSiS-type material family as a new platform to explore exotic states of quantum matter.
TL;DR: The presented phenotypic culture model exhibits a multi-organ toxicity response, representing the next generation of in vitro systems, and constitutes a step towards an in vitro “human-on-a-chip” assay for systemic toxicity screening.
Abstract: We report on a functional human model to evaluate multi-organ toxicity in a 4-organ system under continuous flow conditions in a serum-free defined medium utilizing a pumpless platform for 14 days. Computer simulations of the platform established flow rates and resultant shear stress within accepted ranges. Viability of the system was demonstrated for 14 days as well as functional activity of cardiac, muscle, neuronal and liver modules. The pharmacological relevance of the integrated modules were evaluated for their response at 7 days to 5 drugs with known side effects after a 48 hour drug treatment regime. The results of all drug treatments were in general agreement with published toxicity results from human and animal data. The presented phenotypic culture model exhibits a multi-organ toxicity response, representing the next generation of in vitro systems, and constitutes a step towards an in vitro "human-on-a-chip" assay for systemic toxicity screening.
TL;DR: In this article, the authors provide an introduction, review, and framework for the category of high-step-up coupled-inductor boost converters, which are categorized into five groups according to the major topological features.
Abstract: High-step-up, high-efficiency, and cost-effective dc–dc converters, serving as an interfacing cell to boost the low-voltage output of renewable sources to the utility voltage level, are an important part in renewable energy systems. Over the past few years, there has been a substantial amount of studies devoted to high-step-up dc–dc converters. Among them, the category of coupled-inductor boost converters is widely researched and considered to be a promising solution for high-step-up applications. In this paper, these converters are categorized into five groups according to the major topological features. The derivation process, advantages, and disadvantages of these converters are systematically discussed, compared, and scrutinized. This paper aims to provide an introduction, review, and framework for the category of high-step-up coupled-inductor boost converters. General structures for the topologies are proposed to clarify the topological derivation process and to show potential gaps. Furthermore, challenges or directions are presented in this paper for deriving new topologies in this field.
TL;DR: Overall, the data showed that nursing students can become more confident in EOL care through online education and knowledge gains and continued fears about the same topics suggest EOL confidence lies along a continuum and may require ongoing education.
Abstract: This study describes nursing students' reflections on taking an online course on death and dying. In a semistructured paper, students described fears of caring for clients at end of life (EOL), important content learned, and remaining discomforts. Data were analyzed using directed content analysis. Consistent themes were noted among the papers. Student reflections on the knowledge they gained closely followed initial fears. Several students appreciated the ability to reflect on their experiences in a nonjudgmental setting. Overall, the data showed that nursing students can become more confident in EOL care through online education. Knowledge gains and continued fears about the same topics suggest EOL confidence lies along a continuum and may require ongoing education. Future research should focus on offering online continuing education on EOL to practicing nurses.
TL;DR: This article examines the research on hardware Trojans from the last decade and attempts to capture the lessons learned and identifies the most critical lessons for those new to the field and suggests a roadmap for future hardware Trojan research.
Abstract: Given the increasing complexity of modern electronics and the cost of fabrication, entities from around the globe have become more heavily involved in all phases of the electronics supply chain. In this environment, hardware Trojans (i.e., malicious modifications or inclusions made by untrusted third parties) pose major security concerns, especially for those integrated circuits (ICs) and systems used in critical applications and cyber infrastructure. While hardware Trojans have been explored significantly in academia over the last decade, there remains room for improvement. In this article, we examine the research on hardware Trojans from the last decade and attempt to capture the lessons learned. A comprehensive adversarial model taxonomy is introduced and used to examine the current state of the art. Then the past countermeasures and publication trends are categorized based on the adversarial model and topic. Through this analysis, we identify what has been covered and the important problems that are underinvestigated. We also identify the most critical lessons for those new to the field and suggest a roadmap for future hardware Trojan research.
15 Oct 2016
TL;DR: Results indicated that Point & Teleport is a fun and user friendly locomotion method whereas the additional direction component degraded the user experience.
Abstract: With the increasing popularity of virtual reality (VR) and new devices getting available with relatively lower costs, more and more video games have been developed recently. Most of these games use first person interaction techniques since it is more natural for Head Mounted Displays (HMDs). One of the most widely used interaction technique in VR video games is locomotion that is used to move user's viewpoint in virtual environments. Locomotion is an important component of video games since it can have a strong influence on user experience. In this study, a new locomotion technique we called "Point & Teleport" is described and compared with two commonly used VR locomotion techniques of walk-in-place and joystick. In this technique, users simply point where they want to be in virtual world and they are teleported to that position. As a major advantage, it is not expected to introduce motion sickness since it does not involve any visible translational motion. In this study, two VR experiments were designed and performed to analyze the Point & Teleport technique. In the first experiment, Point & Teleport was compared with walk-in-place and joystick locomotion techniques. In the second experiment, a direction component was added to the Point & Teleport technique so that the users could specify their desired orientation as well. 16 users took part in both experiments. Results indicated that Point & Teleport is a fun and user friendly locomotion method whereas the additional direction component degraded the user experience.
TL;DR: Results of the study indicate that enacting concepts and experiencing critical ideas in physics through whole-body activity leads to significant learning gains, higher levels of engagement, and more positive attitudes towards science.
Abstract: Computer simulations have been shown to be effective instruments for teaching students about difficult concepts, particularly in the STEM disciplines. Emerging interface technologies are expanding the modalities with which learners can interact with these simulations, but the effects of these new interactions on conceptual understanding and student engagement have not been examined in great depth. We present here a study where middle school students learned about gravity and planetary motion in an immersive, whole-body interactive simulation, and we compared their learning and attitudes about science with students who used a desktop version of the same simulation. Results of the study indicate that enacting concepts and experiencing critical ideas in physics through whole-body activity leads to significant learning gains, higher levels of engagement, and more positive attitudes towards science. Mixed reality technologies allow for embodied interaction with science content.Whole-body interaction enhances learning of physics concepts.Compared to traditional simulations, embodied interaction leads to higher engagement.Whole-body interaction with simulations increases positive attitudes toward science.
TL;DR: This review briefly introduces the basics of the conventional chemotherapies, updates the CSC theories, highlights the molecular and cellular mechanisms by which CSC smartly designs and utilizes multiple lines of self-defense to avoid being killed by chemotherapy, and concisely summarizes recent progress in studies on CSC-targeted therapies.
TL;DR: A meta-analysis of healthcare team training supports the expanded use of team training and points toward recommendations for optimizing its effectiveness within healthcare settings.
Abstract: As the nature of work becomes more complex, teams have become necessary to ensure effective functioning within organizations. The healthcare industry is no exception. As such, the prevalence of training interventions designed to optimize teamwork in this industry has increased substantially over the last 10 years (Weaver, Dy, & Rosen, 2014). Using Kirkpatrick's (1956, 1996) training evaluation framework, we conducted a meta-analytic examination of healthcare team training to quantify its effectiveness and understand the conditions under which it is most successful. Results demonstrate that healthcare team training improves each of Kirkpatrick's criteria (reactions, learning, transfer, results; d = .37 to .89). Second, findings indicate that healthcare team training is largely robust to trainee composition, training strategy, and characteristics of the work environment, with the only exception being the reduced effectiveness of team training programs that involve feedback. As a tertiary goal, we proposed and found empirical support for a sequential model of healthcare team training where team training affects results via learning, which leads to transfer, which increases results. We find support for this sequential model in the healthcare industry (i.e., the current meta-analysis) and in training across all industries (i.e., using meta-analytic estimates from Arthur, Bennett, Edens, & Bell, 2003), suggesting the sequential benefits of training are not unique to medical teams. Ultimately, this meta-analysis supports the expanded use of team training and points toward recommendations for optimizing its effectiveness within healthcare settings. (PsycINFO Database Record
TL;DR: This article evaluated bibliometric studies in tourism, depicts emerging themes, and offers critical discussions for theory development and future research, concluding that paucity still exists, particularly in relational bibliometrics in tourism.
TL;DR: A research model that incorporates antecedents of mobile shopping loyalty in a hotel booking context revealed that convenience, compatibility, and perceived ease of use (PEOU) had a significant impact on the users loyalty intentions toward MHB technology.
TL;DR: The influence of merlin loss of function in NF2-related tumors and common human cancers is discussed and NF2 might be relevant for prognosis and future chemotherapeutic approaches.
Abstract: Merlin (Moesin-ezrin-radixin-like protein, also known as schwannomin) is a tumor suppressor protein encoded by the neurofibromatosis type 2 gene NF2. Loss of function mutations or deletions in NF2 cause neurofibromatosis type 2 (NF2), a multiple tumor forming disease of the nervous system. NF2 is characterized by the development of bilateral vestibular schwannomas. Patients with NF2 can also develop schwannomas on other cranial and peripheral nerves, as well as meningiomas and ependymomas. The only potential treatment is surgery/radiosurgery, which often results in loss of function of the involved nerve. There is an urgent need for chemotherapies that slow or eliminate tumors and prevent their formation in NF2 patients. Interestingly NF2 mutations and merlin inactivation also occur in spontaneous schwannomas and meningiomas, as well as other types of cancer including mesothelioma, glioma multiforme, breast, colorectal, skin, clear cell renal cell carcinoma, hepatic and prostate cancer. Except for malignant mesotheliomas, the role of NF2 mutation or inactivation has not received much attention in cancer, and NF2 might be relevant for prognosis and future chemotherapeutic approaches. This review discusses the influence of merlin loss of function in NF2-related tumors and common human cancers. We also discuss the NF2 gene status and merlin signaling pathways affected in the different tumor types and the molecular mechanisms that lead to tumorigenesis, progression and pharmacological resistance.
TL;DR: Thin TiO2 films are demonstrated to be an excellent electron-selective contact for crystalline silicon solar cells featuring a full-areaTiO2 -based electron- selective contact.
Abstract: Thin TiO2 films are demonstrated to be an excellent electron-selective contact for crystalline silicon solar cells. An efficiency of 21.6% is achieved for crystalline silicon solar cells featuring a full-area TiO2 -based electron-selective contact.
TL;DR: The experimental realization of such a readily reconfigurable and effectively controllable PT-symmetric waveguide array structure sets a new stage for further exploiting and better understanding the peculiar physical properties of these non-Hermitian systems in atomic settings.
Abstract: We experimentally demonstrate PT-symmetric optical lattices with periodical gain and loss profiles in a coherently prepared four-level N-type atomic system. By appropriately tuning the pertinent atomic parameters, the onset of PT-symmetry breaking is observed through measuring an abrupt phase-shift jump between adjacent gain and loss waveguides. The experimental realization of such a readily reconfigurable and effectively controllable PT-symmetric waveguide array structure sets a new stage for further exploiting and better understanding the peculiar physical properties of these non-Hermitian systems in atomic settings.
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TL;DR: In this article, generalized zero-shot learning (GZSL) has been studied in the unrealistic setting where test data are assumed to come from unseen classes only. But it is shown empirically that naively using the classifiers constructed by ZSL approaches does not perform well in the generalized setting and a simple but effective calibration method that can be used to balance two conflicting forces: recognizing data from seen classes versus those from unseen ones.
Abstract: Zero-shot learning (ZSL) methods have been studied in the unrealistic setting where test data are assumed to come from unseen classes only. In this paper, we advocate studying the problem of generalized zero-shot learning (GZSL) where the test data's class memberships are unconstrained. We show empirically that naively using the classifiers constructed by ZSL approaches does not perform well in the generalized setting. Motivated by this, we propose a simple but effective calibration method that can be used to balance two conflicting forces: recognizing data from seen classes versus those from unseen ones. We develop a performance metric to characterize such a trade-off and examine the utility of this metric in evaluating various ZSL approaches. Our analysis further shows that there is a large gap between the performance of existing approaches and an upper bound established via idealized semantic embeddings, suggesting that improving class semantic embeddings is vital to GZSL.
TL;DR: The results support the benefits of transparency for performance effectiveness without additional costs and will facilitate the implementation of IAs in military settings and will provide useful data to the design of heterogeneous UxV teams.
Abstract: Objective:We investigated the effects of level of agent transparency on operator performance, trust, and workload in a context of human–agent teaming for multirobot management.Background:Participants played the role of a heterogeneous unmanned vehicle (UxV) operator and were instructed to complete various missions by giving orders to UxVs through a computer interface. An intelligent agent (IA) assisted the participant by recommending two plans—a top recommendation and a secondary recommendation—for every mission.Method:A within-subjects design with three levels of agent transparency was employed in the present experiment. There were eight missions in each of three experimental blocks, grouped by level of transparency. During each experimental block, the IA was incorrect three out of eight times due to external information (e.g., commander’s intent and intelligence). Operator performance, trust, workload, and usability data were collected.Results:Results indicate that operator performance, trust, and perce...