bluuebunny/crossref_metadata_2025 huggingface dataset:
A patient-centred check sheet improves communication on the trauma ward round
Authors: Brown Oliver S , Toi Teri HH , Barbosa Pedro R , Pookarnjanamorakot Patra , Trompeter Alex
Published: August 2019

Background:

Effective communication on surgical ward rounds should clarify for patients their management plan and answer questions adequately. Pressures on time conspire against this interchange of information. A patient-centred surgical communication check sheet was devised to enable rapid two-way transfer of information between surgeon and patient.

Methods:

A quality improvement project involved three cycles. Through the use of a patient survey, distributed following the daily ward round, areas for improvement in communication were highlighted in cycle one. The surgical communication check sheet was introduced in cycle two, and modified before cycle three following discussion with the orthopaedic department. The surgical communication check sheet was handed out to patients before the ward round, and its efficacy was measured by evaluating ward round communication using the survey as in cycle one.

Results:

Initial results showed a variable standard of communication, which improved following the introduction of the surgical communication check sheet in cycle two. In cycle three, 84.7% patients felt that the check sheet aided communication on the ward round. Measures of communication improved between cycles one and three: the percentage of patients with unanswered questions fell from 21.8% to 16.7%, the number of patients unsure why a test was done fell from 25.9% to 12.7%, and average understanding of the management plan rose from 64.7% to 83.3%.

Conclusions:

The introduction of the surgical communication check sheet improved ward round communication, and was welcomed by almost 85% of patients. Accounts from patients indicate two benefits of the check sheet: the surgeon is immediately aware of a patient with questions or concerns, allowing these to be adequately addressed, and patients can formulate questions before the ward round which bolsters their confidence to ask them.
Using sepsis scores in emergency department and ward patients
Authors: Steele Lloyd , Hill Stephen
Published: August 2019

Sepsis-3, published in 2016, defined sepsis as ‘life-threatening organ dysfunction caused by a dysregulated host response to infection’. Instead of systemic inflammatory response syndrome (SIRS), calculating the Sequential Organ Failure Assessment (SOFA) score was recommended. The complexity of SOFA also led to the introduction of quick SOFA (qSOFA) as a bedside tool. The simultaneous removal of SIRS and introduction of qSOFA belies their significant differences, with SIRS having a high sensitivity but very low specificity, and qSOFA being very specific for a poor outcome, but having a lower sensitivity than SIRS. In the UK, the variables within qSOFA are collected on a regular and repeated basis, along with additional variables, as part of the National Early Warning Score (NEWS). A knowledge of SIRS, qSOFA and NEWS is of value in assessing patients with suspected sepsis, as discussed in this article.
In what ways might group clinical supervision affect the development of resilience in hospice nurses?
Authors: Francis Amy , Bulman Chris
Published: August 2019

Background:

Resilience is important to sustain hospice nurses through a challenging career. Clinical supervision is a commonly cited support strategy, but there is limited evidence which focuses on its influence on the development of resilience in hospice nurses.

Aims:

To explore how group clinical supervision might affect the development of resilience in hospice nurses.

Method:

A pragmatic approach and mixed methods research design was employed. Quantitative questionnaire data and qualitative focus group data were collected from community hospice nurses participating in group clinical supervision.

Findings:

The findings identified the importance of an effective group reflective process on the benefits to be gained from clinical supervision. Clinical supervision was found to affect the development of resilience by developing confidence at work, regulating emotions, offering a coping strategy, managing expectations, and developing self-awareness. This was dependent upon individual preference and experience, the local organisational context, and wider social and political factors.

Conclusion:

This research contributes insight into group clinical supervision as an intervention to support resilience in hospice nurses. It offers recommendations for practice, to enhance the development of resilience through clinical supervision, and recommendations for future research.
Continuous Micro-Environments Associated Orchid Bees Benefit from an Atlantic Forest Remnant, Paraná State, Brazil
Authors: Sobreiro Ana Isabel , Peres Lucas Lopes da Silveira , Boff Samuel , Henrique Jessica Amaral , Alves Junior Valter Vieira
Published: August 2019

The fragmentation and habitat loss are the main causes of pollinators decline worldwide, however very little is known about the composition and distribution of neotropical pollinators along continuous micro-environments. To fill this gap, we carried out samplings of Euglossini bees in a continuous area of forest with micro-environments of primary (remnant) and secondary (regeneration) forest of Atlantic Forest. We evaluated the differences in the composition and uniformity of orchid bees in different micro-environments, in order to characterize the responses of the local environmental changes in the attraction of bees to chemical traps. Our results indicated that the composition and uniformity were similar between the two forest fragments studied here, although there are greater abundance of some species by micro-environments. We conclude that the characteristics of the sites in a continuous environment with primary and secondary forest do not seem to have an effect on the composition of the Euglossini fauna, and that the chemical substances are complementary in the attractiveness of the orchid bee males. Thus, our findings suggest that micro-environments in a continuous matrix near forest remnants can help to promote the reintegration of the orchid bee communities and contribute to the conservation of areas in process of forest regeneration.
Trap-nesting Bees Communities from Protected Areas of Atlantic Forest, Southeastern Brazil
Authors: Cordeiro Guaraci , Boff Samuel , Alves-dos-Santos Isabel
Published: August 2019

The solitary bees that use preexisting cavities can be captured in trap-nests allowing to collect data on nesting biology and associated organisms. This man-made trap-nest facilitates the understanding of environmental components and landscape composition in the fauna of solitary bees. Here, we aimed to increase the knowledge about trap-nesting bee species from four protected areas Atlantic Forest in southeastern Brazil and to test how abiotic local environmental components (temperature and rainfall) and forest cover affects the trap-nesting bee fauna. We recorded occupants from 847 nests founded by 17 bee species and seven cleptoparasite bees, associated to their host, summing 24 bee species sampled. The family with highest species richness was Megachilidae, and the species with the largest number of founded nests was Tetrapedia diversipes Klug (Apidae). Diptera, coleoptera, and hymenoptera parasitized 15.2% of the founded nests. The period of highest nest occupation occurred between November and February, which correspond to the warmest and most humid months in the region. We found significant positive correlation between the number of nests and monthly accumulated rainfall. We verified that Boraceia and Ilhabela have the best status conservation based on native forest cover and we sampled the highest diversity of species in these areas. We improved the knowledge on trap-nesting bees communities from Atlantic Forest on new species sampled in this biome with their nesting biology and highlighted that rainfall influences positively the nest founding throughout the year and native forest cover influences diversity of species.
Daily and Seasonal Foraging Activity of the Oriental Non-army Ant Doryline Cerapachys sulcinodis Species Complex (Hymenoptera: Formicidae)
Authors: Mizuno Riou , Suttiprapan Piyawan , Jaitrong Weeyawat , Ito Fuminori
Published: August 2019

The ant subfamily Dorylinae contains the true army ant genera, the species of which are dominant predators, as well as non-army ants. Some of the non-army ant genera are closely related to true army ants, so they could be an important key in understanding the evolution of the army ant adaptive syndrome. Nevertheless, there has been little field research on the non-army ant doryline species because many of them are very rare. Cerapachys is one of the genera closely related to the Old-World army ants. We found some species of Cerapachys are commonly distributed in northern Thailand, so we investigated the daily and seasonal foraging activities of a non-army doryline ant of Cerapachys sulcinodis species complex in the seasonal tropical area of northern Thailand. Workers of the C. sulcinodis complex were diurnal and actively foraged during the rainy season, and their reproduction and foraging activity paused during the dry season. This report is the first on the foraging activity of non-army doryline ants under field conditions.
Corrosion protection performance of nano-TiO2-containing phosphate coatings obtained by anodic electrochemical treatment
Authors: Kathavate Vaibhav S. , Bagal Nilesh S. , Deshpande Pravin P.
Published: August 2019

The efficacy of nano-TiO2-containing zinc phosphate coatings on low-carbon steel is investigated. Zinc phosphate coatings are electrodeposited on low-carbon steel (AISI 1015) keeping current density, deposition time and wt % nano-TiO2 at their respective levels. Corrosion protection performance of these coatings was assessed using potentiodynamic polarization curves and electrochemical impedance spectroscopy (EIS) in 3.5% NaCl electrolyte. The morphology, the composition and the growth process of the zinc phosphate coating is investigated using scanning electron microscopy (SEM), energy-dispersive X-ray spectroscopy, X-ray diffraction (XRD) and electrochemical measurements. The XRD study reveals that the obtained phosphate layer contains traces of hopeite and phosphophylite. The formed zinc phosphate coating offers high corrosion protection in 3.5% NaCl solution, which is well supported by EIS studies. The presence of nano-TiO2 in the phosphate bath anticipated to offer a better surface coverage and reduction in porosity and forms more homogeneous coating, which is in agreement with the SEM studies. The optimization of the electrodeposition phosphating process for achieving better responses in terms of corrosion rate and coating resistance is addressed in this paper.
The critique of the common theory of narrative fiction in narratology: Pursuing difference
Authors: Sandberg Tommy
Published: August 2019

This article aims to characterize a commonly misunderstood and neglected critique of narratology and insists that the critique could advance the narratological discussions if taken more seriously. I describe the notions of three individual critics and one group of critics and their suggested alternatives to what they hold to be the dominating description of narrative fiction in narratology. In turn, I take up Sylvie Patron’s linguistic approach, Lars-Åke Skalin’s aesthetic approach, and Richard Walsh’s pragmatic approach, as well as unnatural narratology (which is less radical), and suggest that they have a Difference approach to narrative fiction. The critique is contrasted with what I refer to as a Sameness approach, guiding the dominating description of narrative fiction in narratology. The Sameness approach relates novels and short stories to a notion of a default mode of “narrative” which is based on situated speech about something that has happened. This is, according to the critics, a mistake. The main thrust of the critics, although with some exceptions, is instead that narrative fiction needs to be approached assui generisin order to be described effectively. Yet how this should be done is still open for debate.
Structure of the Set of Bounded Solutions and Existence of Pseudo Almost Periodic Solutions of a Vector Liénard Differential Equation
Authors: E. Ait Dads  , Cieutat P. , Lhachimi L.
Published: August 2019

We give sufficient conditions ensuring the existence and uniqueness of pseudo almost periodic solution of the vectorial Liénard ’s equation.
Discovering fake news embedded in the opposing hashtag activism networks on Twitter: #Gunreformnow vs. #NRA
Authors: Chong Miyoung
Published: August 2019

After Russia’s malicious attempts to influence the 2016 presidential election were revealed, “fake news” gained notoriety and became a popular term in political discourses and related research areas. Empirical research about fake news in diverse settings is in the beginning phase while research has revealed limitedly that “what we know about fake news so far is predominantly based on anecdotal evidence.” The purpose of this study is to investigate fake news included in politically opposing hashtag activism, #Gunreformnow and #NRA (The National Rifle Association). This study attempted to lay out the process of identifying fake news in the hashtag activism network on Twitter as a two-step process: 1) hashtag frequency analysis, top word-pair analysis, and social network analysis and 2) qualitative content analysis. This study discovered several frames through a qualitative approach. One of the prominent fake news frames was intentionally misleading information that attacks the opposing political party and its advocators. The disinformation tweets overall presented far-right wing ideologies and included multiple hashtags and a YouTube video to promote and distribute their agendas while calling for coalition of far-right wing supporters. However, the fake news tweets often failed to provide a reliable source to back up credibility of the content.
Order/disorder processes and electromechanical properties of monoclinic GdCa4O(BO3)3
Authors: Münchhalfen Marie , Schreuer Jürgen , Reuther Christoph , Möckel Robert , Götze Jens , Mehner Erik , Stöcker Hartmut , Meyer Dirk
Published: August 2019

Large single crystals of GdCa4O(BO3)3 (space group Cm) were grown by the Czochralski method. Dielectric, piezoelectric and elastic coefficients at room temperature as well as specific heat capacity, thermal expansion and cation disorder were studied employing a variety of methods including resonant ultrasound spectroscopy, differential scanning calorimetry, dilatometry and X-ray diffraction techniques. The electromechanical parameters (4 dielectric, 10 piezoelectric and 13 elastic stiffness coefficients) obtained on different samples are in excellent agreement indicating high internal consistency of our approach, whereas the values reported in literature differ significantly. The elastic behaviour of GdCa4O(BO3)3 resembles the one of structurally related fluorapatite, i.e. the elastic anisotropy is relatively small and the longitudinal effect of the deviations from Cauchy-relations exhibit a pronounced minimum along the direction of the dominating chains of cation polyhedra. GdCa4O(BO3)3 exhibits a maximum longitudinal piezoelectric effect of 7.67 × 10−12 CN−10, a value in the order of that of langasite-type materials. Significant changes of the calcium/gadolinium distribution on the 3 independent cation sites accompanied by characteristic anomalies of heat capacity and thermal expansion suggest processes of nonconvergent cation ordering above about 900 K in GdCa4O(BO3)3.
In Quest of a Second Boom
Authors: Azad Shirzad
Published: August 2019

In spite of her troubled presidency at home and premature, ignominious exit from power, Park Geun-hye made serious attempts to bolster the main direction of the Republic of Korea’s (ROK) foreign policy toward the Middle East. A collaborative drive for accomplishing a new momentous boom was by and large a dominant and recurring theme in the Park government’s overall approach to the region. Park enjoyed both personal motivation as well as politico-economic justifications to push for such arduous yet potentially viable objective. Although the ROK’s yearning for a second boom in the Middle East was not ultimately accomplished under the Park presidency, nonetheless, the very aspiration played a crucial role in either rekindling or initiating policy measures in South Korea’s orientation toward different parts of a greater Middle East region, extending from the Gulf Cooperation Council (GCC) to Morocco.
Poetics, Probability, and the Progymnasmata in Matthew of Vendôme's Ars versificatoria
Authors: Loveridge Jordan
Published: August 2019

Historians of rhetoric continue to debate the relative degree of transmission and implementation of the progymnasmata during the Middle Ages. This essay intervenes in this debate by analyzing Matthew of Vendôme's Ars versificatoria (Art of the Versemaker), showing that the treatise emphasizes the construction of probable assertions within a system of rhetorically-informed poetic composition. While past scholarship has shown Matthew's indebtedness to Ciceronian and Horatian rhetoric and poetics, this essay argues that progymnasmata exercises focused on probability and verisimilitude may have also influenced Matthew, suggesting the continued influence of the exercises within rhetorical and grammatical education during the 12th century.
The Influence of Relationship Closeness on Central Motives for Joint Shopping and Satisfaction with the Shopping Experience among Adolescents
Authors: Wenzel Stefanie , Benkenstein Martin
Published: August 2019

It is well known that adolescents like to shop in groups and together with their friends. However, the term „friend” can have many different connotations among teenagers. Associations range from loose acquaintances to best friends, from superficial connections to the closest relationships. Studies show that the relationship type has an impact on numerous social-psychological and consumer-relevant constructs. In spite of this fact, the relationship between adolescents has not been addressed by previous research on shopping companionship. The aim of this paper is to examine the influence of relationship intensity on interactions during joint shopping, and satisfaction derived from such shopping experience. The results of a field study with 78 participants show that the perceived pleasure and the intensity of advice during shopping together in close relationships are particularly high. In addition, the perceived pleasure mediates the relationship between relationship intensity and satisfaction with the shopping experience.
Fragile Females: Case Series of Epilepsy in Girls With FMR1 Disruption
Authors: Myers Kenneth A. , van 't Hof Femke N.G. , Sadleir Lynette G. , Legault Geneviève , Simard-Tremblay Elisabeth , Amor David J. , Scheffer Ingrid E.
Published: August 2019

Girls with pathogenic variants in FMR1, the gene responsible for Fragile X syndrome, have received relatively little attention in the literature. The reports of girls with trinucleotide expansions or deletions affecting FMR1 describe variable phenotypes; having normal intelligence and no severe neurologic sequelae is not uncommon. We reviewed epilepsy genetics research databases for girls with FMR1 pathogenic variants and seizures to characterize the spectrum of epilepsy phenotypes. We identified 4 patients, 3 of whom had drug-resistant focal epilepsy. Two had severe developmental and epileptic encephalopathy with late-onset epileptic spasms. Our findings demonstrate that FMR1 loss-of-function variants can result in severe neurologic phenotypes in girls. Similar cases may be missed because clinicians may not always perform Fragile X testing in girls, particularly those with severe neurodevelopmental impairment or late-onset spasms.
Self-Presentation – A Precondition for Social Interactio (Theoretical Aspects)
Authors: Zhilkov Nikolay
Published: August 2019

The current article presents some of the theoretical aspects of self-presentation describing different points of view on the issue. The ideas of Erving Goffman, Edward Jones, Barry Schlenker, Roy Baumeister and others are being explored. Concepts related to to self-presentation are presented. Different types and functions of self-expression are identified.
Individual Work as Means of Professional Competence Development in Physiotherapy Assistant Students
Authors: Nikolova Donka , Grudeva Marinella
Published: August 2019

Modern society requires medical schools to prepare a new generation of healthcare professionals who possess the knowledge, the skills and the competencies to adequately and quickly adapt to the changes in public health and labor market dynamics. In the transition toward the establishment of a new educational paradigm, an emphasis is placed on the purposeful, well-planned and organized individual work of the students, which is accepted and considered as an effective means for the formation of their professional competence. As such, self-employment increases choice, increases adaptability to changing living and working conditions, makes people more social, more mobile, more competitive and more motivated.
DEVELOPMENT OF A PERSONAL INFORMATION SYSTEM FOR MANAGING AUDIOVISUAL TRAINING AIDS: MOTIVATIONS, BENEFITS FOR THE TEACHER'S WORK
Authors: Georgieva-Trifonova T. , Lazarova S.
Published: August 2019

The contemporary teacher uses a rich collection of diverse computer-based teaching aids in their daily experience. One of the main problems in his work is maintaining this collection so that in case of need a desired file can be found quickly and reliably. In this paper, an approach to systematizing, organizing, storing and using the audiovisual aids with the personal information system myAudiovisualAids is proposed. The purpose of the implemented system is to support the user to organize his/her media learning resources created during the preparation of the lessons or his/her library of digital didactic aids. The motivations are justified and the benefits of developing and using the proposed system are addressed.
THE INFLUENCE OF MANAGERS’ EMOTIONAL INTELLIGENCE ON THEIR WORK PERFORMANCE IN BUSINESS ORGANIZATIONS (EMPIRICAL STUDY)
Authors: Masaldzhiyska S.
Published: August 2019

In recent decades, the number of theoretical studies related to the psychological aspects of human resource management has increased. In the context of behavioral sciences, the orientation of scientists and researchers to the inner essence of individuals, to thought processes and the feelings of people at the workplace, and hence to the resulting work behavior, is completely natural. Work productivity stems from a certain type of employee behavior, and a number of factors influence this behavior in people’s work activity. Emotional intelligence is one of the key factors influencing the work behavior of business organizations' leaders. This component encompasses abilities and skills that orient the behavior of managers in their work performance in a direction consistent with the organizational goals and the personal goals of each of these leaders.
ECOLOGICALLY ORIENTED AGRICULTURE IN UKRAINE: OPPORTUNITIES AND RISKS OF DEVELOPMENT
Authors: Shubravska O. , Prokopenko K. , Udova L.
Published: August 2019

The structure of agriculture is increasingly corrected by the need to adapt production to increase the intensity of climate change that leads to building a new concept of resource-saving agriculture, determining the optimal sectoral structure of production and indicators for assessing the implication of adaptation technologies implementation. The aim of the study is to develop the concept of ecological resource-saving agriculture, which will ensure: preservation and reproduction of agricultural land fertility as a decisive factor in food security in the long term; improvement of food quality for the population; expansion of the export potential of agro-food products at the expense of the segment of high-quality, demanded and, therefore, competitive products. An assessment of the consequences of climate change for the industry and possible results of its adaptation suggests that the use of environmentally balanced agricultural systems will ensure adaptation of the industry to climate change on the basis of widespread introduction of innovative technologies that will promote the conservation and restoration of soil fertility, moisture conservation, reduction of production cost through minimization the cost of material resources. As the result, the sustainable productivity, profit increase and food safety while maintaining the resources and the environment will be achieved.
Factors contributing to post-traumatic growth following breast cancer: Results from a randomized longitudinal clinical trial containing psychological interventions
Authors: Zsigmond O , Vargay A , Józsa E , Bányai É
Published: August 2019

Purpose

The purpose of this study was to explore the factors influencing post-traumatic growth in breast cancer patients during 3 years after diagnosis.

Materials and methods

Our longitudinal study involved 71 medium and high-risk breast cancer patients, who received special attention and either hypnosis or music psychological intervention while receiving the same chemotherapy protocol. The influences of the interventions, as well as the demographic (age, marital status, and educational level) and psychosocial factors (coping, post-traumatic stress, and well-being), on post-traumatic growth were explored.

Results

The results showed that over 97% of our patients experienced post-traumatic growth. It was positively associated with Quality of Life domains 3 years after diagnosis, and with Psychological Immune Competence cumulative scores after treatment and 3 years after diagnosis. Psychological Immune Competence, emotional severity of post-traumatic stress symptoms, and the social support scale of Quality of Life explained 33.9% of the variance of post-traumatic growth.

Conclusion

The results confirm that positive coping strategies, emotional severity of post-traumatic stress symptoms, and social support contribute to post-traumatic growth, and that post-traumatic growth has a weak to moderate association with quality of life.
Od mistycznej intuicji św. Franciszka do kontuicji św. Bonawentury
Authors: Łopat Jerzy
Published: August 2019

Celem niniejszego artykułu jest ukazanie, w jaki sposób św. Bonawentura z Bagnoregio próbował wyjaśnić intuicję mistyczną św. Franciszka z Asyżu. Bonawentura, jako profesor Uniwersytetu Paryskiego, zastosował do wyjaśnienia mistycznej intuicji św. Franciszka następujące teorie: teorię egzemplaryzmu, teorię zmysłów duchowych oraz swoją własną teorię tzw. kontuicji. Po zaprezentowaniu bonawenturiańskiej koncepcji kontuicji podane zostały wybrane współczesne interpretacje tejże teorii kontuicji, by następnie podać: ocenę kontuicji w świetle współczesnej filozofii poznania w nauczaniu wybranych autorów. Bonawenturiańska kontuicja jest dzisiaj niedocenianym zagadnieniem poznawczym w zakresie teorii poznania Boga.
Doświadczenie Alwerni źródłem powstania Drogi duszy do Boga św. Bonawentury z Bagnoregio
Authors: Block Wiesław
Published: August 2019

Struktura i treść Droga duszy do Boga dzieła w pełni odzwierciedla atmosferę stygmatyzacji Franciszka. Obraz sześciu skrzydeł serafina posłużyły Bonawenturze za punkt odniesienia do budowy traktatu, a duchowe doświadczenie brata Franciszka stało się źródłem co do jego treści. Pielgrzymowanie człowieka ku Bogu przebiega przez sześć etapów, by potem na samym końcu drogi, przejść do ostatniego, jakim jest odpoczynek w Trójcy i czysta Jej kontemplacja. W tej duchowej podróży istotną rolę spełnia Słowo Wcielone. Natomiast podstawowym narzędziem pozwalającym człowiekowi rozpoznawać i rozważać tajemnice Boga, są władze duszy i intelektu.
Różnorodność pseudocharyzmatycznych praktyk na przestrzeni wieków
Authors: Medwid Wojciech
Published: August 2019

W kontekście coraz mocniej dochodzących do głosu grup nowej ewangelizacji, różnorodnych grup charyzmatycznych i ich liderów – w różny sposób oddziałujących na wiernych – celem artykułu jest określenie źródła i ukazanie rozwoju zjawisk charyzmatycznych na przestrzeni wieków.Przedmiotem refleksji historyczno-teologicznej są kwestie związane z interesującymego nas zagadnieniaem począwszy od czasów biblijnych do wieku XIX, kiedy to nastąpiła bardzo mocna ekspansja ruchów określających się jako charyzmatyczne i pod „działaniem” Ducha Świętego. Zdecydowana większość przypadków zachowań obserwowanych podczas ekstremalnych spotkań charyzmatycznych jest widoczne w religiach okultystycznych. Żywiołowe i odbiegające od normy doświadczenia, stały się cechą charakterystyczną grup i ich liderów, którzy przekonują swoich zwolenników o rzekomym działaniu Ducha Świętego przez nich oraz o ichwyjątkowej misji, jaką mają podjąć, aby odnowić wiarę Kościoła. W epoce nowożytnej pojawiły się zróżnicowane sekty charyzmatyczne w duchu protestanckim i anglikańskim, odznaczające się specyficznymi zjawiskami religijnymi: wizje, uzdrowienia, proroctwa, mówienie językami, uzdrawianie, drżenie, chrzest w Duchu Świętym, zaśnięcie w Duchu.
Psalm 91 (90) w pismach św. Elżbiety od Trójcy Świętej
Authors: Wilk Janusz
Published: August 2019

W artykule podjęto analizę percepcji Psalmu 91 (90) w pismach Elżbiety od Trójcy Świętej (1880–1906). W pierwszej części studium zaproponowano własny przekład Psalmu 91 (90) oraz przeprowadzono jego krótką egzegezę (struktura; symbolika; teologia). W części drugiej dokonano analizy pism, w których Elżbieta od Trójcy Świętej wykorzystała przesłanie Psalmu 91 (90). Ten najczęściej cytowany lub parafrazowany przez karmelitankę z Dijon psalm, odzwierciedlał jej zażyłość z Bogiem oraz poczucie bezpieczeństwa i pokoju. Tym też dzieliła się z adresatami swoich pism.
About some limitations in researching the human being. Theological perspective
Authors: Jastrzębski Andrzej
Published: August 2019

The concept of a person has gone through several stages of development in the history of thought. In the classical tradition, a person is considered to be a substance. In modernity, John Locke brought forward the notion that social existence and consciousness are the most salient properties of a person, which brought about a possibility of renouncing one’s personhood because of a lack of some perceivable and observable traits. This is why in a Christian anthropology there is such an emphasis on personalism, which from the very beginning of the twentieth century has been opposed to the treatment of people as obscure elements of matter, or elements be manipulated unquestioningly. In this paper we have indicated some elements of anthropology that demonstrate important limitation of any attempt at explaining away the mystery of being a human person.
Finding All Bayesian Network Structures within a Factor of Optimal
Authors: Liao Zhenyu A. , Sharma Charupriya , Cussens James , Van Beek Peter
Published: August 2019

A Bayesian network is a widely used probabilistic graphical model with applications in knowledge discovery and prediction. Learning a Bayesian network (BN) from data can be cast as an optimization problem using the well-known score-andsearch approach. However, selecting a single model (i.e., the best scoring BN) can be misleading or may not achieve the best possible accuracy. An alternative to committing to a single model is to perform some form of Bayesian or frequentist model averaging, where the space of possible BNs is sampled or enumerated in some fashion. Unfortunately, existing approaches for model averaging either severely restrict the structure of the Bayesian network or have only been shown to scale to networks with fewer than 30 random variables. In this paper, we propose a novel approach to model averaging inspired by performance guarantees in approximation algorithms. Our approach has two primary advantages. First, our approach only considers credible models in that they are optimal or near-optimal in score. Second, our approach is more efficient and scales to significantly larger Bayesian networks than existing approaches.
Anytime Recursive Best-First Search for Bounding Marginal MAP
Authors: Marinescu Radu , Kishimoto Akihiro , Botea Adi , Dechter Rina , Ihler Alexander
Published: August 2019

Marginal MAP is a difficult mixed inference task for graphical models. Existing state-of-the-art solvers for this task are based on a hybrid best-first and depth-first search scheme that allows them to compute upper and lower bounds on the optimal solution value in an anytime fashion. These methods however are memory intensive schemes (via the best-first component) and do not have an efficient memory management mechanism. For this reason, they are often less effective in practice, especially on difficult problem instances with very large search spaces. In this paper, we introduce a new recursive best-first search based bounding scheme that operates efficiently within limited memory and computes anytime upper and lower bounds that improve over time. An empirical evaluation demonstrates the effectiveness of our proposed approach against current solvers.
Lifted Hinge-Loss Markov Random Fields
Authors: Srinivasan Sriram , Babaki Behrouz , Farnadi Golnoosh , Getoor Lise
Published: August 2019

Statistical relational learning models are powerful tools that combine ideas from first-order logic with probabilistic graphical models to represent complex dependencies. Despite their success in encoding large problems with a compact set of weighted rules, performing inference over these models is often challenging. In this paper, we show how to effectively combine two powerful ideas for scaling inference for large graphical models. The first idea, lifted inference, is a wellstudied approach to speeding up inference in graphical models by exploiting symmetries in the underlying problem. The second idea is to frame Maximum a posteriori (MAP) inference as a convex optimization problem and use alternating direction method of multipliers (ADMM) to solve the problem in parallel. A well-studied relaxation to the combinatorial optimization problem defined for logical Markov random fields gives rise to a hinge-loss Markov random field (HLMRF) for which MAP inference is a convex optimization problem. We show how the formalism introduced for coloring weighted bipartite graphs using a color refinement algorithm can be integrated with the ADMM optimization technique to take advantage of the sparse dependency structures of HLMRFs. Our proposed approach, lifted hinge-loss Markov random fields (LHL-MRFs), preserves the structure of the original problem after lifting and solves lifted inference as distributed convex optimization with ADMM. In our empirical evaluation on real-world problems, we observe up to a three times speed up in inference over HL-MRFs.
Deictic Image Mapping: An Abstraction for Learning Pose Invariant Manipulation Policies
Authors: Platt Robert , Kohler Colin , Gualtieri Marcus
Published: August 2019

In applications of deep reinforcement learning to robotics, it is often the case that we want to learn pose invariant policies: policies that are invariant to changes in the position and orientation of objects in the world. For example, consider a pegin-hole insertion task. If the agent learns to insert a peg into one hole, we would like that policy to generalize to holes presented in different poses. Unfortunately, this is a challenge using conventional methods. This paper proposes a novel state and action abstraction that is invariant to pose shifts called deictic image maps that can be used with deep reinforcement learning. We provide broad conditions under which optimal abstract policies are optimal for the underlying system. Finally, we show that the method can help solve challenging robotic manipulation problems.
TallyQA: Answering Complex Counting Questions
Authors: Acharya Manoj , Kafle Kushal , Kanan Christopher
Published: August 2019

Most counting questions in visual question answering (VQA) datasets are simple and require no more than object detection. Here, we study algorithms for complex counting questions that involve relationships between objects, attribute identification, reasoning, and more. To do this, we created TallyQA, the world’s largest dataset for open-ended counting. We propose a new algorithm for counting that uses relation networks with region proposals. Our method lets relation networks be efficiently used with high-resolution imagery. It yields stateof-the-art results compared to baseline and recent systems on both TallyQA and the HowMany-QA benchmark.
BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual Relationship Detection
Authors: Ben-younes Hedi , Cadene Remi , Thome Nicolas , Cord Matthieu
Published: August 2019

Multimodal representation learning is gaining more and more interest within the deep learning community. While bilinear models provide an interesting framework to find subtle combination of modalities, their number of parameters grows quadratically with the input dimensions, making their practical implementation within classical deep learning pipelines challenging. In this paper, we introduce BLOCK, a new multimodal fusion based on the block-superdiagonal tensor decomposition. It leverages the notion of block-term ranks, which generalizes both concepts of rank and mode ranks for tensors, already used for multimodal fusion. It allows to define new ways for optimizing the tradeoff between the expressiveness and complexity of the fusion model, and is able to represent very fine interactions between modalities while maintaining powerful mono-modal representations. We demonstrate the practical interest of our fusion model by using BLOCK for two challenging tasks: Visual Question Answering (VQA) and Visual Relationship Detection (VRD), where we design end-to-end learnable architectures for representing relevant interactions between modalities. Through extensive experiments, we show that BLOCK compares favorably with respect to state-of-the-art multimodal fusion models for both VQA and VRD tasks. Our code is available at https://github.com/Cadene/block.bootstrap.pytorch.
MR-NET: Exploiting Mutual Relation for Visual Relationship Detection
Authors: Bin Yi , Yang Yang , Tao Chaofan , Huang Zi , Li Jingjing , Shen Heng Tao
Published: August 2019

Inferring the interactions between objects, a.k.a visual relationship detection, is a crucial point for vision understanding, which captures more definite concepts than object detection. Most previous work that treats the interaction between a pair of objects as a one way fail to exploit the mutual relation between objects, which is essential to modern visual application. In this work, we propose a mutual relation net, dubbed MR-Net, to explore the mutual relation between paired objects for visual relationship detection. Specifically, we construct a mutual relation space to model the mutual interaction of paired objects, and employ linear constraint to optimize the mutual interaction, which is called mutual relation learning. Our mutual relation learning does not introduce any parameters, and can adapt to improve the performance of other methods. In addition, we devise a semantic ranking loss to discriminatively penalize predicates with semantic similarity, which is ignored by traditional loss function (e.g., cross entropy with softmax). Then, our MR-Net optimizes the mutual relation learning together with semantic ranking loss with a siamese network. The experimental results on two commonly used datasets (VG and VRD) demonstrate the superior performance of the proposed approach.
Temporal Deformable Convolutional Encoder-Decoder Networks for Video Captioning
Authors: Chen Jingwen , Pan Yingwei , Li Yehao , Yao Ting , Chao Hongyang , Mei Tao
Published: August 2019

It is well believed that video captioning is a fundamental but challenging task in both computer vision and artificial intelligence fields. The prevalent approach is to map an input video to a variable-length output sentence in a sequence to sequence manner via Recurrent Neural Network (RNN). Nevertheless, the training of RNN still suffers to some degree from vanishing/exploding gradient problem, making the optimization difficult. Moreover, the inherently recurrent dependency in RNN prevents parallelization within a sequence during training and therefore limits the computations. In this paper, we present a novel design — Temporal Deformable Convolutional Encoder-Decoder Networks (dubbed as TDConvED) that fully employ convolutions in both encoder and decoder networks for video captioning. Technically, we exploit convolutional block structures that compute intermediate states of a fixed number of inputs and stack several blocks to capture long-term relationships. The structure in encoder is further equipped with temporal deformable convolution to enable free-form deformation of temporal sampling. Our model also capitalizes on temporal attention mechanism for sentence generation. Extensive experiments are conducted on both MSVD and MSR-VTT video captioning datasets, and superior results are reported when comparing to conventional RNN-based encoder-decoder techniques. More remarkably, TDConvED increases CIDEr-D performance from 58.8% to 67.2% on MSVD.
Similarity Preserving Deep Asymmetric Quantization for Image Retrieval
Authors: Chen Junjie , Cheung William K.
Published: August 2019

Quantization has been widely adopted for large-scale multimedia retrieval due to its effectiveness of coding highdimensional data. Deep quantization models have been demonstrated to achieve the state-of-the-art retrieval accuracy. However, training the deep models given a large-scale database is highly time-consuming as a large amount of parameters are involved. Existing deep quantization methods often sample only a subset from the database for training, which may end up with unsatisfactory retrieval performance as a large portion of label information is discarded. To alleviate this problem, we propose a novel model called Similarity Preserving Deep Asymmetric Quantization (SPDAQ) which can directly learn the compact binary codes and quantization codebooks for all the items in the database efficiently. To do that, SPDAQ makes use of an image subset as well as the label information of all the database items so the image subset items and the database items are mapped to two different but correlated distributions, where the label similarity can be well preserved. An efficient optimization algorithm is proposed for the learning. Extensive experiments conducted on four widely-used benchmark datasets demonstrate the superiority of our proposed SPDAQ model.
Unsupervised Bilingual Lexicon Induction from Mono-Lingual Multimodal Data
Authors: Chen Shizhe , Jin Qin , Hauptmann Alexander
Published: August 2019

Bilingual lexicon induction, translating words from the source language to the target language, is a long-standing natural language processing task. Recent endeavors prove that it is promising to employ images as pivot to learn the lexicon induction without reliance on parallel corpora. However, these vision-based approaches simply associate words with entire images, which are constrained to translate concrete words and require object-centered images. We humans can understand words better when they are within a sentence with context. Therefore, in this paper, we propose to utilize images and their associated captions to address the limitations of previous approaches. We propose a multi-lingual caption model trained with different mono-lingual multimodal data to map words in different languages into joint spaces. Two types of word representation are induced from the multi-lingual caption model: linguistic features and localized visual features. The linguistic feature is learned from the sentence contexts with visual semantic constraints, which is beneficial to learn translation for words that are less visual-relevant. The localized visual feature is attended to the region in the image that correlates to the word, so that it alleviates the image restriction for salient visual representation. The two types of features are complementary for word translation. Experimental results on multiple language pairs demonstrate the effectiveness of our proposed method, which substantially outperforms previous vision-based approaches without using any parallel sentences or supervision of seed word pairs.
Selective Refinement Network for High Performance Face Detection
Authors: Chi Cheng , Zhang Shifeng , Xing Junliang , Lei Zhen , Li Stan Z. , Zou Xudong
Published: August 2019

High performance face detection remains a very challenging problem, especially when there exists many tiny faces. This paper presents a novel single-shot face detector, named Selective Refinement Network (SRN), which introduces novel twostep classification and regression operations selectively into an anchor-based face detector to reduce false positives and improve location accuracy simultaneously. In particular, the SRN consists of two modules: the Selective Two-step Classification (STC) module and the Selective Two-step Regression (STR) module. The STC aims to filter out most simple negative anchors from low level detection layers to reduce the search space for the subsequent classifier, while the STR is designed to coarsely adjust the locations and sizes of anchors from high level detection layers to provide better initialization for the subsequent regressor. Moreover, we design a Receptive Field Enhancement (RFE) block to provide more diverse receptive field, which helps to better capture faces in some extreme poses. As a consequence, the proposed SRN detector achieves state-of-the-art performance on all the widely used face detection benchmarks, including AFW, PASCAL face, FDDB, and WIDER FACE datasets. Codes will be released to facilitate further studies on the face detection problem.
Creación de una base de datos de la temperatura media estacional para el análisis de su tendencia y variabilidad espacial
Authors: Peña-Angulo Dhais , González-Hidalgo José Carlos
Published: August 2019

The study of climate variations is a line of current and world-wide research. Knowing which are the causes that affect climate variability requires long-term databases, as well as high spatial resolution, which also allows us to know spatial differences. This research describes the generation of a database of the mean seasonal temperature in mainland Spain to study the trend and spatial variability of them. In this study, quality control, reconstruction and spatial interpolation are carried out, and subsequently the trend is obtained with the Mann Kendall statistic test. The analysis shows that in summer the maximum increase in mean temperatures takes place. From a spatial point of view, the greatest increase in temperatures takes place on the east coast of mainland Spain that borders the Mediterranean Sea.
RELATO SOLTO DE UMA OFICINA ATRÁS DAS GRADES: UM PROCESSO DE ESCRITA TEATRAL NO PRESÍDIO FEMININO DE FLORIANÓPOLIS
Authors: Concilio Vicente , Vetori Caroline
Published: August 2019

O presente relato compartilha a pesquisa, ainda em caráter inicial, com mulheres em privação de liberdade. Nela se investiga a construção de um processo artístico-pedagógico que lance mão das histórias de vida das participantes para a construção cênica. A oficina acontece no Presídio Feminino de Florianópolis, com regularidade semanal, fazendo parte do programa de extensão Pedagogia do Teatro e Processos de Criação. 