bluuebunny/crossref_metadata_2025_split huggingface dataset:
The perception of low-salt bread among preschool children and the role of educational personnel in creating a positive attitude towards reformulated food
Authors: Kovac Boris , Knific Maja 
Published: November 2016

Abstract

Introduction
The purpose of this study was to identify the possibility of unnoticed reduction in salt content of bread as a basic food in the diet of preschool children. The response of children to less salty bread and the role of teachers and teacher assistants in the introduction of novelties into children’s nutrition ware studied.

Methods
Using hedonic sensory evaluation in the case of bread, the perception of salty taste and responses of preschool children to salt reduction were observed. The combination of quantitative and qualitative data analysis obtained from the case study group, composed of 22 preschool children and 66 teachers and teacher assistants, was studied.

Results
The results show that a 30% salt reduction was not registered by the children, while a 50% reduction of the salt content, compared to the original recipe, though noted, was not disruptive. The perception of taste and development of good eating habits at an early age could be influenced by teachers and teacher assistants’ verbal and non-verbal communication.

Conclusion
Salt reduction does not significantly affect the rating of satisfaction with the tested product. Educational personnel must be aware of their decisive influence on children’s perception of new and less salty products. Such an approach could represent a basis for creating children’s eating habits, which will be of particular importance later in their lives. The findings may possibly result in an update of the national nutrition policy.
Molecular Interactions in Particular Van der Waals Nanoclusters
Authors: Jungclas Hartmut , Komarov Viacheslav V. , Popova Anna M. , Schmidt Lothar 
Published: November 2016

AbstractA method is presented to analyse the interaction energies in a nanocluster, which is consisting of three neutral molecules bound by non-covalent long range Van der Waals forces. One of the molecules (M0) in the nanocluster has a permanent dipole moment, whereas the two other molecules (M1and M2) are non-polar. Analytical expressions are obtained for the numerical calculation of the dispersion and induction energies of the molecules in the considered nanocluster. The repulsive forces at short intermolecular distances are taken into account by introduction of damping functions. Dispersion and induction energies are calculated for a nanocluster with a definite geometry, in which the polar molecule M0is a linear hydrocarbon molecule C5H10and M1and M2are pyrene molecules. The calculations are done for fixed distances between the two pyrene molecules. The results show that the induction energies in the considered three-molecular nanocluster are comparable with the dispersion energies. Furthermore, the sum of induction energies in the substructure (M0, M1) of the considered nanocluster is much higher than the sum of induction energies in a two-molecular nanocluster with similar molecules (M0, M1) because of the absence of an electrostatic field in the latter case. This effect can be explained by the essential intermolecular induction in the three-molecular nanocluster.
A highly selective fluorescent chemosensor based on naphthalimide and Schiff base units for Cu2+ detection in aqueous medium
Authors: Xu Yuling , Aderinto Stephen Opeyemi , Wu Huilu , Peng Hongping , Zhang Han , Zhang Jiawen , Fan Xuyang 
Published: November 2016

Abstract
A new Schiff base, 4-allylamine-N-(N-5-methylsalicylidene)-1,8-naphthalimide (1), has been designed and synthesized by combining a 1,8-naphthalimide moiety as a fluorophore and a Schiff base as a recognition group. Its photophysical properties were investigated by absorption and fluorescence spectroscopy, and this sensor exhibits a high fluorescence quantum yield of 0.75–0.91 inorganic solvents of different polarity. It also shows high selectivity for Cu2+ over other ions with fluorescence quenching in aqueous medium (pH=7.2). The reason for this phenomenon (fluorescence quenching) is attributed to the formation of a 1:1 complex between 1 and Cu2+ according to the Job plot and fluorescence titration. The sensor can be applied to the quantification of Cu2+ in a linear fashion from 0.5 to 5 μM with a detection limit of 0.23 μM. Additionally, the association constant (K
a) between Cu2+ and 1 is 1.328×106 M−
1 in aqueous media.
Effects of Paternal Predation Risk and Rearing Environment on Maternal Investment and Development of Defensive Responses in the Offspring
Authors: Korgan Austin C. , O’Leary Elizabeth , Bauer Jessica , Fortier Aidan , Weaver Ian C. G. , Perrot Tara S. 
Published: November 2016

AbstractDetecting past experiences with predators of a potential mate informs a female about prevailing ecological threats, in addition to stress-induced phenotypes that may be disseminated to offspring. We examined whether prior exposure of a male rat to a predator (cat) odor influences the attraction of a female toward a male, subsequent mother–infant interactions and the development of defensive (emotional) responses in the offspring. Females displayed less interest in males that had experienced predator odor. Mothers that reared young in larger, seminaturalistic housing provided more licking and grooming and active arched back-nursing behavior toward their offspring compared with dams housed in standard housing, although some effects interacted with paternal experience. Paternal predation risk and maternal rearing environment revealed sex-dependent differences in offspring wean weight, juvenile social interactions, and anxiety-like behavior in adolescence. Additionally, paternal predator experience and maternal housing independently affected variations incrfgene promoter acetylation andcrfgene expression in response to an acute stressor in offspring. Our results show for the first time in mammals that variation among males in their predator encounters may contribute to stable behavioral variation among females in preference for mates and maternal care, even when the females are not directly exposed to predator threat. Furthermore, when offspring were exposed to the same threat experienced by the father, hypothalamiccrfgene regulation was influenced by paternal olfactory experience and early housing. These results, together with our previous findings, suggest that paternal stress exposure and maternal rearing conditions can influence maternal behavior and the development of defensive responses in offspring.
The Unintended Consequences of Health Information Technology Revisited
Authors: Ash J. , Berg M. , Coiera E. 
Published: November 2016

Summary
Introduction: The introduction of health information technology into clinical settings is associated with unintended negative consequences, some with the potential to lead to error and patient harm. As adoption rates soar, the impact of these hazards will increase.
Objective: Over the last decade, unintended consequences have received great attention in the medical informatics literature, and this paper seeks to identify the major themes that have emerged.
Results: Rich typologies of the causes of unintended consequences have been developed, along with a number of explanatory frameworks based on socio-technical systems theory. We however still have only limited data on the frequency and impact of these events, as most studies rely on data sets from incident reporting or patient chart reviews, rather than undertaking detailed observational studies. Such data are increasingly needed as more organizations implement health information technologies. When outcome studies have been done in different organizations, they reveal different outcomes for identical systems. From a theoretical perspective, recent advances in the emerging discipline of implementation science have much to offer in explaining the origin, and variability, of unintended consequences.
Conclusion: The dynamic nature of health care service organizations, and the rapid development and adoption of health information technologies means that unintended consequences are unlikely to disappear, and we therefore must commit to developing robust systems to detect and manage them.
Knowledge Representation and Management: a Linked Data Perspective
Authors: Barros M. , Couto F.M. 
Published: November 2016

Summary
Introduction: Biomedical research is increasingly becoming a data-intensive science in several areas, where prodigious amounts of data is being generated that has to be stored, integrated, shared and analyzed. In an effort to improve the accessibility of data and knowledge, the Linked Data initiative proposed a well-defined set of recommendations for exposing, sharing and integrating data, information and knowledge, using semantic web technologies.
Objective: The main goal of this paper is to identify the current status and future trends of knowledge representation and management in Life and Health Sciences, mostly with regard to linked data technologies.
Methods: We selected three prominent linked data studies, namely Bio2RDF, Open PHACTS and EBI RDF platform, and selected 14 studies published after 2014 (inclusive) that cited any of the three studies. We manually analyzed these 14 papers in relation to how they use linked data techniques.
Results: The analyses show a tendency to use linked data techniques in Life and Health Sciences, and even if some studies do not follow all of the recommendations, many of them already represent and manage their knowledge using RDF and biomedical ontologies.
Conclusion: These insights from RDF and biomedical ontologies are having a strong impact on how knowledge is generated from biomedical data, by making data elements increasingly connected and by providing a better description of their semantics. As health institutes become more data centric, we believe that the adoption of linked data techniques will continue to grow and be an effective solution to knowledge representation and management.
Human Factors for More Usable and Safer Health Information Technology: Where Are We Now and Where do We Go from Here?
Authors: Nohr C. , Borycki E. , Kushniruk A. 
Published: November 2016

SummaryA wide range of human factors approaches have been developed and adapted to healthcare for detecting and mitigating negative unexpected consequences associated with technology in healthcare (i.e. technology-induced errors). However, greater knowledge and wider dissemination of human factors methods is needed to ensure more usable and safer health information technology (IT) systems.
Objective: This paper reports on work done by the IMIA Human Factors Working Group and discusses some successful approaches that have been applied in using human factors to mitigate negative unintended consequences of health IT. The paper addresses challenges in bringing human factors approaches into mainstream health IT development.
Results: A framework for bringing human factors into the improvement of health IT is described that involves a multi-layered systematic approach to detecting technology-induced errors at all stages of a IT system development life cycle (SDLC). Such an approach has been shown to be needed and can lead to reduced risks associated with the release of health IT systems into live use with mitigation of risks of negative unintended consequences.
Conclusion: Negative unintended consequences of the introduction of IT into healthcare (i.e. potential for technology-induced errors) continue to be reported. It is concluded that methods and approaches from the human factors and usability engineering literatures need to be more widely applied, both in the vendor community and in local and regional hospital and healthcare settings. This will require greater efforts at dissemination and knowledge translation, as well as greater interaction between the academic and vendor communities.
Biomechanisms of Comorbidity: Reviewing Integrative Analyses of Multi-omics Datasets and Electronic Health Records
Authors: Pouladi N. , Achour l. , Li H. , Berghout J. , Kenost C. , Gonzalez-Garay M.L. , Lussier Y.A. 
Published: November 2016

Summary
Objectives: Disease comorbidity is a pervasive phenomenon impacting patients’ health outcomes, disease management, and clinical decisions. This review presents past, current and future research directions leveraging both phenotypic and molecular information to uncover disease similarity underpinning the biology and etiology of disease comorbidity.
Methods: We retrieved ~130 publications and retained 59, ranging from 2006 to 2015, that comprise a minimum number of five diseases and at least one type of biomolecule. We surveyed their methods, disease similarity metrics, and calculation of comorbidities in the electronic health records, if present.
Results: Among the surveyed studies, 44% generated or validated disease similarity metrics in context of comorbidity, with 60% being published in the last two years. As inputs, 87% of studies utilized intragenic loci and proteins while 13% employed RNA (mRNA, LncRNA or miRNA). Network modeling was predominantly used (35%) followed by statistics (28%) to impute similarity between these biomolecules and diseases. Studies with large numbers of biomolecules and diseases used network models or naïve overlap of disease-molecule associations, while machine learning, statistics, and information retrieval were utilized in smaller and moderate sized studies. Multiscale computations comprising shared function, network topology, and phenotypes were performed exclusively on proteins. Conclusion: This review highlighted the growing methods for identifying the molecular mechanisms underpinning comorbidities that leverage multiscale molecular information and patterns from electronic health records. The survey unveiled that intergenic polymorphisms have been overlooked for similarity imputation compared to their intragenic counterparts, offering new opportunities to bridge the mechanistic and similarity gaps of comorbidity.
Human Factors and Organizational Issues in 2015: The Increasing Complexity of the Healthcare Domain Calls for More Comprehensive Approaches
Authors: Santos R. , Pelayo S. ,   Section Editors for the IMIA Yearbook Section on Human Factors and Organizational Issues
Published: November 2016

Summary
Objective: To summarize significant research contributions on human factors and organizational issues in medical informatics published in 2015.
Methods: An extensive search using PubMed/Medline and Web of Science® was conducted to identify the scientific contributions published in 2015 that address human factors and organizational issues in medical informatics. The selection process comprised three steps: (i) 15 candidate best papers were first selected by the two section editors, (ii) external reviewers from internationally renowned research teams reviewed each candidate best paper, and (iii) the final selection of five best papers was conducted by the editorial board of the Yearbook.
Results: Noteworthy papers in 2015 emphasize the increasing complexity of the healthcare environment. They call for more comprehensive approaches and evaluation studies. All provide a real added-value in this direction.
Conclusion: There is no more need to promote the contribution of human factors and ergonomics (HFE) approaches to health IT-related risks and patient safety. However, there is still a need for research on HFE methods to adapt health information technology tools to the complexity of the healthcare domain.
All that Glitters Is not Gold: Consumer Health Informatics and Education in the Era of Social Media and Health Apps
Authors: Staccini P. , Fernandez-Luque L. ,   Section Editors for the IMIA Yearbook Section on Consumer Health Informatics
Published: November 2016

Summary
Objective: To summarize the state of the art published during the year 2015 in the areas related to consumer health informatics and education with a special emphasis on unintended consequences of applying mobile and social media technologies in that domain.
Methods: We conducted a systematic review of articles published in PubMed with a predefined set of queries, which lead to the selection of over 700 potential relevant articles. Section editors screened those papers on the title, abstract, and finally complete paper basis, taking into account the papers’ relevance for the section topic. The 15 most representative papers were finally selected by consensus between the two section editors and submitted for full review and scoring to external reviewers and the yearbook editors. Based on the final scoring, section editors selected the best five papers.
Results: The five best papers can be grouped in two major areas: 1) Digital health literacy and 2) Quality and safety concerns. Regarding health literacy issues of patients with chronic conditions such as asthma, online interventions should rather focus on changing patient beliefs about the disease than on supporting them in the management of their pathology since personally controlled health management systems do not show expected benefits,. Nevertheless, encouraging and training chronic patients for an active online health information–seeking behaviour substantially decreases state anxiety level. Regarding safety and privacy issues, even recommended health-related apps available on mobile phones do not guarantee personal data protection. Furthermore, the analysis indicated that patients undergoing Internet interventions experienced at least one adverse event that might be related to treatment. At least, predictive factors have been identified in order to credit or not a health rumour.
Conclusions: Trusting digital and connected health can be achieved if patients, health care professionals, and industrials build a shared model of health data management integrating ethics rules. Only increasing efforts in education with regards of digital health would help reach this goal., This would not resolve all frauds and security issues but at least improve their detection.
Will mHealth Revolutionize Health and Clinical Management and Open up New Horizons for Mental Health?
Authors: Bricon-Souf N. , Conchon E. ,   Section Editors for the IMIA Yearbook Section on Health and Clinical Management
Published: November 2016

Summary
Objectives: To summarize recent research and emerging trends in the field of Health and Clinical management and propose a selection of best papers for year 2015.
Methods: A literature review has been conducted by the two section editors and computerized provider order entry systems from bibliographic databases regards to health clinical management. As a result, a list of 15 candidate papers has been elaborated and a peer-reviewed has been performed by external reviewers. A consensus meeting has been organized between the two section editors and the editorial board to conclude the selection of the 3 best papers.
Results: Starting with 1803 papers published in 2015, the full selection process ended with three papers from international peer-reviewed journals for the Health and Clinical Management section.
Conclusion: IoT and Cloudification have a direct impact on health and clinical management this year. Telepsychiatry benefits directly from this development and take advantages of the improvement of smart homes and of the generalization of mHealth solutions. Social networks are starting to be integrated as valuable source of information that are complementary to clinical data for reasoning-based solutions.
New Problems - New Solutions: A Never Ending Story
Authors: Ganslandt T. , Hackl W.O. ,   Section Editors for the IMIA Yearbook Section on Clinical Information Systems
Published: November 2016

Summary
Objective: To summarize recent research and to propose a selection of best papers published in 2015 in the field of Clinical Information Systems (CIS).
Method: The query which had been used last year to retrieve articles for the CIS section of the IMIA Yearbook of Medical Informatics 2015 was refined. It again aimed at identifying relevant publications in the field of CIS and comprised search terms from the Medical Subject Headings (MeSH) catalog as well as additional free text search terms from PubMed and Web of Science. The retrieved articles were categorized in a multi-pass review carried out separately by the two section editors. The final selection of 15 candidate papers was then peer-reviewed by Yearbook editors and external reviewers. Based on the review results the four best papers were then selected at the best papers selection meeting with the IMIA Yearbook editorial board. To get an overview on the content of the retrieved articles we applied text mining and term co-occurrence mapping techniques.
Results: The query was carried out in mid-January 2016, yielding a combined result set of 1851 articles which were published in 790 different journals. The most relevant terms from abstracts and titles of these articles were assigned to six different clusters. A majority of articles dealt with two thematic blocks, problems and solutions in the CIS field. The majority of the 2016 CIS candidate papers and all four best papers could be assigned to these two thematic blocks.
Conclusions: We identified two main tracks among the CIS candidate and best papers as well as in CIS research activities in general: problems and solutions. A never ending cycle of continuous improvement.
Computerized Clinical Decision Support: Contributions from 2015
Authors: Bouaud J. , Koutkias V. ,   Section Editors for the IMIA Yearbook Section on Decision Support
Published: November 2016

Summary
Objective: To summarize recent research and select the best papers published in 2015 in the field of computerized clinical decision support for the Decision Support section of the IMIA yearbook.
Method: A literature review was performed by searching two bibliographic databases for papers related to clinical decision support systems (CDSSs) and computerized provider order entry (CPOE) systems. The aim was to identify a list of candidate best papers from the retrieved papers that were then peer-reviewed by external reviewers. A consensus meeting between the two section editors and the IMIA editorial team was finally conducted to conclude in the best paper selection.
Results: Among the 974 retrieved papers, the entire review process resulted in the selection of four best papers. One paper reports on a CDSS routinely applied in pediatrics for more than 10 years, relying on adaptations of the Arden Syntax. Another paper assessed the acceptability and feasibility of an important CPOE evaluation tool in hospitals outside the US where it was developed. The third paper is a systematic, qualitative review, concerning usability flaws of medication-related alerting functions, providing an important evidence-based, methodological contribution in the domain of CDSS design and development in general. Lastly, the fourth paper describes a study quantifying the effect of a complex, continuous-care, guideline-based CDSS on the correctness and completeness of clinicians’ decisions.
Conclusions: While there are notable examples of routinely used decision support systems, this 2015 review on CDSSs and CPOE systems still shows that, despite methodological contributions, theoretical frameworks, and prototype developments, these technologies are not yet widely spread (at least with their full functionalities) in routine clinical practice. Further research, testing, evaluation, and training are still needed for these tools to be adopted in clinical practice and, ultimately, illustrate the benefits that they promise.