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https://www.readbyqxmd.com/read/28215018/responses-of-wintering-geese-to-the-designation-of-goose-foraging-areas-in-the-netherlands
#1
Kees Koffijberg, Hans Schekkerman, Henk van der Jeugd, Menno Hornman, Erik van Winden
The Netherlands is important for wintering migratory herbivorous geese, numbers of which have rapidly increased, leading to conflict with agriculture. In 2005/2006, a new goose management policy aimed to limit compensation payments to farmers by concentrating foraging geese in 80 000 ha of designated 'go' areas-where farmers received payment to accommodate them-and scaring geese from 'no go' areas elsewhere. Monthly national counts of four abundant goose species during 10 years prior to the new policy and in 8 years following implementation found that 57% of all goose days were spent within 'go' areas under the new management, the same as prior to implementation...
March 2017: Ambio
https://www.readbyqxmd.com/read/28214665/when-are-night-shifts-effective-for-nursing-student-clinical-learning-findings-from-a-mixed-method-study-design
#2
Alvisa Palese, Felix Basso, Elena Del Negro, Illarj Achil, Annamaria Ferraresi, Marzia Morandini, Renzo Moreale, Irene Mansutti
BACKGROUND: Some nursing programmes offer night shifts for students while others do not, mainly due to the lack of evidence regarding their effectiveness on clinical learning. OBJECTIVES: The principal aims of the study were to describe nursing students' perceptions and to explore conditions influencing effectiveness on learning processes during night shifts. DESIGN: An explanatory mixed-method study design composed of a cross-sectional study (primary method, first phase) followed by a descriptive phenomenological study design (secondary method, second phase) in 2015...
February 11, 2017: Nurse Education Today
https://www.readbyqxmd.com/read/28214535/multilevel-ensemble-model-for-prediction-of-iga-and-igg-antibodies
#3
Divya Khanna, Prashant Singh Rana
Identification of antigen for inducing specific class of antibody is prime objective in peptide based vaccine designs, immunodiagnosis, and antibody productions. It's urge to introduce a reliable system with high accuracy and efficiency for prediction. In the present study, a novel multilevel ensemble model is developed for prediction of antibodies IgG and IgA. Epitope length is important in training the model and it is efficient to use variable length of epitopes. In this ensemble approach, seven different machine learning models are combined to predict variable length of epitopes (4 to 50)...
February 15, 2017: Immunology Letters
https://www.readbyqxmd.com/read/28213582/a-scale-up-mock-up-comparison-of-student-learning-gains-in-high-and-low-tech-active-learning-environments
#4
Paula A G Soneral, Sara A Wyse
Student-centered learning environments with upside-down pedagogies (SCALE-UP) are widely implemented at institutions across the country, and learning gains from these classrooms have been well documented. This study investigates the specific design feature(s) of the SCALE-UP classroom most conducive to teaching and learning. Using pilot survey data from instructors and students to prioritize the most salient SCALE-UP classroom features, we created a low-tech "Mock-up" version of this classroom and tested the impact of these features on student learning, attitudes, and satisfaction using a quasi--experimental setup...
2017: CBE Life Sciences Education
https://www.readbyqxmd.com/read/28213153/critical-thinking-instruction-and-technology-enhanced-learning-from-the-student-perspective-a-mixed-methods-research-study
#5
Ruth Swart
Critical thinking is acclaimed as a valuable asset for graduates from higher education programs. Technology has advanced in quantity and quality; recognized as a requirement of 21st century learners. A mixed methods research study was undertaken, examining undergraduate nursing student engagement with critical thinking instruction, platformed on two technology-enhanced learning environments: a classroom response system face-to-face in-class and an online discussion forum out-of-class. The Community of Inquiry framed the study capturing constructivist collaborative inquiry to support learning, and facilitate critical thinking capability...
February 4, 2017: Nurse Education in Practice
https://www.readbyqxmd.com/read/28213134/speech-in-noise-perception-in-musicians-a-review
#6
REVIEW
Emily B J Coffey, Nicolette Mogilever, Robert J Zatorre
The ability to understand speech in the presence of competing sound sources is an important neuroscience question in terms of how the nervous system solves this computational problem. It is also a critical clinical problem that disproportionally affects the elderly, children with language-related learning disorders, and those with hearing loss. Recent evidence that musicians have an advantage on this multifaceted skill has led to the suggestion that musical training might be used to improve or delay the decline of speech-in-noise (SIN) function...
February 14, 2017: Hearing Research
https://www.readbyqxmd.com/read/28212966/estimating-preferences-for-complex-health-technologies-lessons-learned-and-implications-for-personalized-medicine
#7
Deborah A Marshall, Juan Marcos Gonzalez, Karen V MacDonald, F Reed Johnson
We examine key study design challenges of using stated-preference methods to estimate the value of whole-genome sequencing (WGS) as a specific example of genomic testing. Assessing the value of WGS is complex because WGS provides multiple findings, some of which can be incidental in nature and unrelated to the specific health concerns that motivated the test. In addition, WGS results can include actionable findings (variants considered to be clinically useful and can be acted on), findings for which evidence for best clinical action is not available (variants considered clinically valid but do not meet as high of a standard for clinical usefulness), and findings of unknown significance...
January 2017: Value in Health: the Journal of the International Society for Pharmacoeconomics and Outcomes Research
https://www.readbyqxmd.com/read/28212606/the-implementation-of-health-promotion-in-primary-and-community-care-a-qualitative-analysis-of-the-prescribe-vida-saludable-strategy
#8
Catalina Martinez, Gonzalo Bacigalupe, Josep M Cortada, Gonzalo Grandes, Alvaro Sanchez, Haizea Pombo, Paola Bully
BACKGROUND: The impact of lifestyle on health is undeniable and effective healthy lifestyle promotion interventions do exist. However, this is not a fundamental part of routine primary care clinical practice. We describe factors that determine changes in performance of primary health care centers involved in piloting the health promotion innovation 'Prescribe Vida Saludable' (PVS) phase II. METHODS: We engaged four primary health care centers of the Basque Healthcare Service in an action research project aimed at changing preventive health practices...
February 17, 2017: BMC Family Practice
https://www.readbyqxmd.com/read/28212481/-workplace-bullying-during-specialty-training-in-a-pediatric-hospital-in-mexico-a-little-noticed-phenomenon
#9
Ana Carolina Sepúlveda-Vildósola, Alma Rebeca Mota-Nova, Germán Enrique Fajardo-Dolci, L Isabel Reyes-Lagunes
BACKGROUND: Workplace bullying (WB) is a hostile or intimidating behavior that is practiced against workers and has a negative impact on health, job performance, and the learning process. The objective was to research WB magnitude and its associated factors in Mexico. METHODS: Mixed method study. A survey was designed and administered to all the residents in a pediatric hospital in Mexico who agreed to participate. The survey was divided in two sections: a) resident self-reported events of workplace bullying and associated factors, b) situations and factors of abuse were interrogated in a targeted manner...
2017: Revista Médica del Instituto Mexicano del Seguro Social
https://www.readbyqxmd.com/read/28212116/developing-a-community-of-practice-for-hiv-care-supporting-knowledge-translation-in-a-regional-training-initiative
#10
Donna M Gallagher, Lisa R Hirschhorn, Laura S Lorenz, Priyatam Piya
INTRODUCTION: Ensuring knowledgeable, skilled HIV providers is challenged by rapid advances in the field, diversity of patients and providers, and the need to retain experienced providers while training new providers. These challenges highlight the need for education strategies, including training and clinical consultation to support translation of new knowledge to practice. New England AIDS Education and Training Center (NEAETC) provides a range of educational modalities including academic peer detailing and distance support to HIV providers in six states...
February 15, 2017: Journal of Continuing Education in the Health Professions
https://www.readbyqxmd.com/read/28212101/fast-solving-quasi-optimal-ls-s-%C3%A2-vm-based-on-an-extended-candidate-set
#11
Yuefeng Ma, Xun Liang, James T Kwok, Jianping Li, Xiaoping Zhou, Haiyan Zhang
The semisupervised least squares support vector machine (LS-S³VM) is an important enhancement of least squares support vector machines in semisupervised learning. Given that most data collected from the real world are without labels, semisupervised approaches are more applicable than standard supervised approaches. Although a few training methods for LS-S³VM exist, the problem of deriving the optimal decision hyperplane efficiently and effectually has not been solved. In this paper, a fully weighted model of LS-S³VM is proposed, and a simple integer programming (IP) model is introduced through an equivalent transformation to solve the model...
February 14, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28211521/computer-aided-designing-of-immunosuppressive-peptides-based-on-il-10-inducing-potential
#12
Gandharva Nagpal, Salman Sadullah Usmani, Sandeep Kumar Dhanda, Harpreet Kaur, Sandeep Singh, Meenu Sharma, Gajendra P S Raghava
In the past, numerous methods have been developed to predict MHC class II binders or T-helper epitopes for designing the epitope-based vaccines against pathogens. In contrast, limited attempts have been made to develop methods for predicting T-helper epitopes/peptides that can induce a specific type of cytokine. This paper describes a method, developed for predicting interleukin-10 (IL-10) inducing peptides, a cytokine responsible for suppressing the immune system. All models were trained and tested on experimentally validated 394 IL-10 inducing and 848 non-inducing peptides...
February 17, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28211456/learning-from-data-to-design-functional-materials-without-inversion-symmetry
#13
Prasanna V Balachandran, Joshua Young, Turab Lookman, James M Rondinelli
Accelerating the search for functional materials is a challenging problem. Here we develop an informatics-guided ab initio approach to accelerate the design and discovery of noncentrosymmetric materials. The workflow integrates group theory, informatics and density-functional theory to uncover design guidelines for predicting noncentrosymmetric compounds, which we apply to layered Ruddlesden-Popper oxides. Group theory identifies how configurations of oxygen octahedral rotation patterns, ordered cation arrangements and their interplay break inversion symmetry, while informatics tools learn from available data to select candidate compositions that fulfil the group-theoretical postulates...
February 17, 2017: Nature Communications
https://www.readbyqxmd.com/read/28210216/flavor-dependent-retention-of-remote-food-preference-memory
#14
Aditya Singh, Suraj Kumar, Vikram Pal Singh, Asish Das, J Balaji
Social Transmission of Food Preference (STFP) is a single trial non-aversive learning task that is used for testing non-spatial memory. This task relies on an accurate estimate of a change in food preference of the animals following social demonstration of a novel flavor. Conventionally this is done by providing two flavors of powdered food and later estimating the amount of food consumed for each of these flavors in a defined period of time. This is achieved through a careful measurement of leftover food for each of these flavors...
2017: Frontiers in Behavioral Neuroscience
https://www.readbyqxmd.com/read/28209429/nurses-experiences-of-what-constitutes-the-encounter-with-children-visiting-a-sick-parent-at-an-adult-icu
#15
Susanne Knutsson, Karin Enskär, Marie Golsäter
BACKGROUND: Despite a cultural change in visitation policies for children (0-17 years) in the intensive care unit (ICU) to a more open approach, children are still restricted from visiting for various reasons. To overcome these obstacles, it is vital to determine what is needed while encountering a child. AIM: To elucidate nurses' experiences of what constitutes the encounter with children visiting a sick parent in an adult ICU. METHOD: An explorative inductive qualitative design was used, entailing focus group interviews with 23 nurses working at a general ICU...
February 13, 2017: Intensive & Critical Care Nursing: the Official Journal of the British Association of Critical Care Nurses
https://www.readbyqxmd.com/read/28208882/pbl-trigger-design-by-medical-students-an-effective-active-learning-strategy-outside-the-classroom
#16
Maya Roche, Indira Kakkunje Adiga, Akshatha G Nayak
INTRODUCTION: Problem Based Learning (PBL) is known world over as an effective, active learning strategy with many benefits for the student. Usually, in medical schools, PBL triggers are designed by a well-trained group of faculty from basic and clinical sciences. The challenge was whether this task could be given to students in the first year of their curriculum and be executed by them effectively. AIM: To enhance active learning, comprehension and critical thinking with a view to promote horizontal and vertical integration between subjects...
December 2016: Journal of Clinical and Diagnostic Research: JCDR
https://www.readbyqxmd.com/read/28208671/a-passive-learning-sensor-architecture-for-multimodal-image-labeling-an-application-for-social-robots
#17
Marco A Gutiérrez, Luis J Manso, Harit Pandya, Pedro Núñez
Object detection and classification have countless applications in human-robot interacting systems. It is a necessary skill for autonomous robots that perform tasks in household scenarios. Despite the great advances in deep learning and computer vision, social robots performing non-trivial tasks usually spend most of their time finding and modeling objects. Working in real scenarios means dealing with constant environment changes and relatively low-quality sensor data due to the distance at which objects are often found...
February 11, 2017: Sensors
https://www.readbyqxmd.com/read/28208215/nanoparticle-delivery-systems-general-approaches-and-their-implementation-in-multiple-myeloma
#18
REVIEW
Pilar de la Puente, Abdel Kareem Azab
Multiple myeloma (MM) is a hematological malignancy that remains incurable, with relapse rates greater than 90%. The main limiting factor for the effective use of chemotherapies in MM is the serious side effects caused by these drugs. The emphasis in cancer treatment has shifted from cytotoxic, non-specific chemotherapies to molecularly targeted and rationally designed therapies showing greater efficacy and fewer side effects. Traditional chemotherapy has shown several disadvantages such as lack of targeting capabilities, systemic toxicity and side effects; low therapeutic index, as well as, most anticancer drugs have poor water solubility...
February 16, 2017: European Journal of Haematology
https://www.readbyqxmd.com/read/28207397/stacked-learning-to-search-for-scene-labeling
#19
Feiyang Cheng, Xuming He, Hong Zhang
Search-based structured prediction methods have shown promising successes in both computer vision and natural language processing recently. However, most existing search-based approaches lead to a complex multi-stage learning process, which is ill-suited for scene labeling problems with a high-dimensional output space. In this paper, a stacked learning to search method is proposed to address scene labeling tasks. We design a simplified search process consisting of a sequence of ranking functions, which are learned based on a stacked learning strategy to prevent over-fitting...
February 13, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28207384/supervised-learning-of-semantics-preserving-hash-via-deep-convolutional-neural-networks
#20
Huei-Fang Yang, Kevin Lin, Chu-Song Chen
This paper presents a simple yet effective supervised deep hash approach that constructs binary hash codes from labeled data for large-scale image search. We assume that the semantic labels are governed by several latent attributes with each attribute on or off, and classification relies on these attributes. Based on this assumption, our approach, dubbed supervised semantics-preserving deep hashing (SSDH), constructs hash functions as a latent layer in a deep network and the binary codes are learned by minimizing an objective function defined over classification error and other desirable hash codes properties...
February 9, 2017: IEEE Transactions on Pattern Analysis and Machine Intelligence
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