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Supervision

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https://www.readbyqxmd.com/read/28329826/supportive-supervision-and-staff-intent-to-turn-over-in-long-term-care-homes
#1
Jennifer Bethell, Charlene H Chu, Walter P Wodchis, Kevin Walker, Steven C Stewart, Katherine S McGilton
Background and Objectives: To examine the association between supervisory support and intent to turn over among personal support workers (PSWs) employed in long-term care (LTC) homes in Ontario, Canada, by assessing whether the association is mediated by job satisfaction and the potential confounding effect of happiness. Research Design and Methods: Cross-sectional survey data of 5,645 PSWs working within 398 LTC homes in Ontario, Canada, were obtained and analysed through a series of multilevel regression models...
March 14, 2017: Gerontologist
https://www.readbyqxmd.com/read/28329819/development-of-a-physical-environmental-observational-tool-for-dining-environments-in-long-term-care-settings
#2
Habib Chaudhury, Heather Keller, Kaylen Pfisterer, Lillian Hung
Purpose: This paper presents the first standardized physical environmental assessment tool titled Dining Environment Audit Protocol (DEAP) specifically designed for dining spaces in care homes and reports the results of its psychometric properties. Items rated include: adequacy of lighting, glare, personal control, clutter, staff supervision support, restraint use, and seating arrangement option for social interaction. Two scales summarize the prior items and rate the overall homelikeness and functionality of the space...
February 20, 2017: Gerontologist
https://www.readbyqxmd.com/read/28329757/neural-ensemble-dynamics-underlying-a-long-term-associative-memory
#3
Benjamin F Grewe, Jan Gründemann, Lacey J Kitch, Jerome A Lecoq, Jones G Parker, Jesse D Marshall, Margaret C Larkin, Pablo E Jercog, Francois Grenier, Jin Zhong Li, Andreas Lüthi, Mark J Schnitzer
The brain's ability to associate different stimuli is vital for long-term memory, but how neural ensembles encode associative memories is unknown. Here we studied how cell ensembles in the basal and lateral amygdala encode associations between conditioned and unconditioned stimuli (CS and US, respectively). Using a miniature fluorescence microscope, we tracked the Ca(2+) dynamics of ensembles of amygdalar neurons during fear learning and extinction over 6 days in behaving mice. Fear conditioning induced both up- and down-regulation of individual cells' CS-evoked responses...
March 22, 2017: Nature
https://www.readbyqxmd.com/read/28328736/entrustment-decisions-bringing-the-patient-into-the-assessment-equation
#4
Olle Ten Cate
With the increased interest in the use of entrustable professional activities (EPAs) in undergraduate medical education (UME) and graduate medical education (GME) come questions about the implications for assessment. Entrustment assessment combines the evaluation of learners' knowledge, skills, and behaviors with the evaluation of their readiness to be entrusted to perform critical patient care responsibilities. Patient safety, then, should be an explicit component of educational assessments. The validity of these assessments in the clinical workplace becomes the validity of the entrustment decisions...
March 21, 2017: Academic Medicine: Journal of the Association of American Medical Colleges
https://www.readbyqxmd.com/read/28328386/walking-training-and-cortisol-to-dhea-s-ratio-in-postmenopause-an-intervention-study
#5
Andrea Di Blasio, Pascal Izzicupo, Angela Di Baldassarre, Sabina Gallina, Ines Bucci, Cesidio Giuliani, Serena Di Santo, Angelo Di Iorio, Patrizio Ripari, Giorgio Napolitano
The literature indicates that the plasma cortisol-to-dihydroepiandrosterone-sulfate (DHEA-S) ratio is a marker of health status after menopause, when a decline in both estrogens and DHEA-S, and an increase in cortisol occur. An increase in the cortisol-to-DHEA-S ratio has been positively correlated with metabolic syndrome, all-cause mortality, cancer and other diseases. The aim of this study was to investigate the effects of a walking program on the plasma cortisol-to-DHEA-S ratio in postmenopausal women. Fifty-one postmenopausal women participated in a 13-week supervised walking program, in the metropolitan area of Pescara (Italy), from June to September 2013...
March 22, 2017: Women & Health
https://www.readbyqxmd.com/read/28328252/liberal-entity-extraction-rapid-construction-of-fine-grained-entity-typing-systems
#6
Lifu Huang, Jonathan May, Xiaoman Pan, Heng Ji, Xiang Ren, Jiawei Han, Lin Zhao, James A Hendler
The ability of automatically recognizing and typing entities in natural language without prior knowledge (e.g., predefined entity types) is a major challenge in processing such data. Most existing entity typing systems are limited to certain domains, genres, and languages. In this article, we propose a novel unsupervised entity-typing framework by combining symbolic and distributional semantics. We start from learning three types of representations for each entity mention: general semantic representation, specific context representation, and knowledge representation based on knowledge bases...
March 2017: Big Data
https://www.readbyqxmd.com/read/28327052/challenges-in-professional-supervision-current-themes-and-models-for-practice-beddoe-liz-and-davys-allyson-challenges-in-professional-supervision-current-themes-and-models-for-practice-248pp-%C3%A2-24-99-jessica-kingsley-9781849054652-1849054657-formula-see-text
#7
(no author information available yet)
Drawing on the latest research and theory, this book looks at supervision in practice. It is intended for health, social care and counselling professionals, although its content is applicable to allied healthcare professions.
March 22, 2017: Nursing Standard
https://www.readbyqxmd.com/read/28326906/a-practical-guide-to-the-sublingual-immunotherapy-tablet-adverse-event-profile-implications-for-clinical-practice
#8
David I Bernstein, Jose A Bardelas, Bodil Svanholm Fogh, Amarjot Kaur, Ziliang Li, Hendrik Nolte
OBJECTIVES: Treatment with allergy immunotherapy improves allergic rhinoconjunctivitis, but can also improve comorbidities associated with allergic rhinitis such as asthma. Sublingual immunotherapy (SLIT)-tablets are a convenient and efficacious method of allergy immunotherapy. They are self-administered after the first tablet has been provided under medical supervision. Therapy may elicit local reactions or, rarely, systemic allergic reactions. The objective of this report is to inform healthcare practitioners about the safety and tolerability profile of SLIT-tablets and use this information to provide practical guidance that may inform patients regarding potential adverse reactions and how to manage them...
March 22, 2017: Postgraduate Medicine
https://www.readbyqxmd.com/read/28326351/effects-of-low-dose-ibuprofen-supplementation-and-resistance-training-on-bone-and-muscle-in-postmenopausal-women-a-randomized-controlled-trial
#9
Whitney R D Duff, Saija A Kontulainen, Darren G Candow, Julianne J Gordon, Riley S Mason, Regina Taylor-Gjevre, Bindu Nair, Michael Szafron, Adam D G Baxter-Jones, Gordon A Zello, Philip D Chilibeck
PURPOSE: To compare the effects of nine months of exercise training and ibuprofen supplementation (given immeditately after exercise sessions) on bone and muscle in postmenopausal women. METHODS: In a double-blind randomized trial, participants (females: n = 90, mean age 64.8, SD 4.3 years) were assigned (computer generated, double blind) to receive supervised resistance training or stretching 3 days/week, and ibuprofen (400 mg, post-exercise) or placebo (i...
December 2016: Bone Reports
https://www.readbyqxmd.com/read/28326009/improving-eeg-based-driver-fatigue-classification-using-sparse-deep-belief-networks
#10
Rifai Chai, Sai Ho Ling, Phyo Phyo San, Ganesh R Naik, Tuan N Nguyen, Yvonne Tran, Ashley Craig, Hung T Nguyen
This paper presents an improvement of classification performance for electroencephalography (EEG)-based driver fatigue classification between fatigue and alert states with the data collected from 43 participants. The system employs autoregressive (AR) modeling as the features extraction algorithm, and sparse-deep belief networks (sparse-DBN) as the classification algorithm. Compared to other classifiers, sparse-DBN is a semi supervised learning method which combines unsupervised learning for modeling features in the pre-training layer and supervised learning for classification in the following layer...
2017: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/28325448/diagnosis-of-autism-through-eeg-processed-by-advanced-computational-algorithms-a-pilot-study
#11
Enzo Grossi, Chiara Olivieri, Massimo Buscema
BACKGROUND: Multi-Scale Ranked Organizing Map coupled with Implicit Function as Squashing Time algorithm(MS-ROM/I-FAST) is a new, complex system based on Artificial Neural networks (ANNs) able to extract features of interest in computerized EEG through the analysis of few minutes of their EEG without any preliminary pre-processing. A proof of concept study previously published showed accuracy values ranging from 94%-98% in discerning subjects with Mild Cognitive Impairment and/or Alzheimer's Disease from healthy elderly people...
April 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28325109/feasibility-and-effects-of-a-combined-adjuvant-high-intensity-interval-strength-training-in-breast-cancer-patients-a-single-center-pilot-study
#12
Sebastian Viktor Waldemar Schulz, Roman Laszlo, Stephanie Otto, Dmytro Prokopchuk, Uwe Schumann, Florian Ebner, Jens Huober, Jürgen Michael Steinacker
PURPOSE: To evaluate feasibility of an exercise intervention consisting of high-intensity interval endurance and strength training in breast cancer patients. METHODS: Twenty-six women with nonmetastatic breast cancer were consecutively assigned to the exercise intervention- (n= 15, mean age 51.9 ± 9.8 years) and the control group (n = 11, mean age 56.9 ± 7.0 years). Cardiopulmonary exercise testing that included lactate sampling, one-repetition maximum tests and a HADS-D questionnaire were used to monitor patients both before and after a supervised six weeks period of either combined high-intensity interval endurance and strength training (intervention group, twice a week) or leisure training (control group)...
March 21, 2017: Disability and Rehabilitation
https://www.readbyqxmd.com/read/28325049/antibody-subclass-detection-using-graphene-nanopore
#13
Amir Barati Farimani, Mohammad Heiranian, Kyoungmin Min, Narayana R Aluru
Solid-state nanopores are promising for label free protein detection. The large thickness, ranging from several tens of nanometers to micrometers and larger, of solid-state nanopores prohibits atomic scale scanning or interrogation of proteins. Here, a single-atom thick graphene nanopore is shown to be highly capable of sensing and discriminating between different subclasses of IgG antibodies despite their minor and subtle variation in atomic structure. Extensive molecular dynamics (MD) simulations, rigorous statistical analysis with a total aggregate simulation time of 2...
March 21, 2017: Journal of Physical Chemistry Letters
https://www.readbyqxmd.com/read/28324951/mentor-s-brain-functional-connectivity-network-during-robotic-assisted-surgery-mentorship
#14
Somayeh B Shafiei, Scott T Doyle, Khurshid A Guru
In many complicated cognitive-motor tasks mentoring is inevitable during the learning process. Although mentors are expert in doing the task, trainee's operation might be new for a mentor. This makes mentoring a very difficult task which demands not only the knowledge and experience of a mentor, but also his/her ability to follow trainee's movements and patiently advise him/her during the operation. We hypothesize that information binding throughout the mentor's brain areas, contributed to the task, changes as the expertise level of the trainee improves from novice to intermediate and expert...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28324938/application-of-semi-supervised-deep-learning-to-lung-sound-analysis
#15
Daniel Chamberlain, Rahul Kodgule, Daniela Ganelin, Vivek Miglani, Richard Ribon Fletcher
The analysis of lung sounds, collected through auscultation, is a fundamental component of pulmonary disease diagnostics for primary care and general patient monitoring for telemedicine. Despite advances in computation and algorithms, the goal of automated lung sound identification and classification has remained elusive. Over the past 40 years, published work in this field has demonstrated only limited success in identifying lung sounds, with most published studies using only a small numbers of patients (typically N<;20) and usually limited to a single type of lung sound...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28324937/data-driven-estimation-of-blood-pressure-using-photoplethysmographic-signals
#16
Shi Chao Gao, Peter Wittek, Li Zhao, Wen Jun Jiang
Noninvasive measurement of blood pressure by optical methods receives considerable interest, but the complexity of the measurement and the difficulty of adjusting parameters restrict applications. We develop a method for estimating the systolic and diastolic blood pressure using a single-point optical recording of a photoplethysmographic (PPG) signal. The estimation is data-driven, we use automated machine learning algorithms instead of mathematical models. Combining supervised learning with a discrete wavelet transform, the method is insensitive to minor irregularities in the PPG waveform, hence both pulse oximeters and smartphone cameras can record the signal...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28323893/effect-of-supervised-exercise-training-during-pregnancy-on-neonatal-and-maternal-outcomes-among-overweight-and-obese-women-secondary-analyses-of-the-etip-trial-a-randomised-controlled-trial
#17
Kirsti Krohn Garnæs, Siri Ann Nyrnes, Kjell Åsmund Salvesen, Øyvind Salvesen, Siv Mørkved, Trine Moholdt
BACKGROUND: Maternal obesity associates with complications during pregnancy and childbirth. Our aim was to investigate if exercise during pregnancy in overweight/obese women could influence birth weight or other neonatal and maternal outcomes at delivery. MATERIAL AND METHODS: This is a secondary analysis of a randomised controlled trial of exercise training in pregnancy for women with body mass index (BMI) ≥ 28 kg/m2. Ninety-one women (31.3 ± 4.3 years, BMI 34...
2017: PloS One
https://www.readbyqxmd.com/read/28323860/disrespect-and-abuse-of-women-during-childbirth-in-nigeria-a-systematic-review
#18
Foluso Ishola, Onikepe Owolabi, Veronique Filippi
BACKGROUND: Promoting respectful care at childbirth is important to improve quality of care and encourage women to utilize skilled delivery services. However, there has been a relative lack of public health research on this topic in Nigeria. A systematic review was conducted to synthesize current evidence on disrespect and abuse of women during childbirth in Nigeria in order to understand its nature and extent, contributing factors and consequences, and propose solutions. METHODS: Five electronic databases were searched for relevant published studies, and five data sources for additional grey literature...
2017: PloS One
https://www.readbyqxmd.com/read/28323445/neuropsychology-in-south-africa
#19
Sharon Truter, Menachem Mazabow, Alejandra Morlett Paredes, Diego Rivera, Juan Carlos Arango-Lasprilla
This survey forms part of an international research study conducted in 39 countries and is the first to describe the characteristics of individuals engaged in the practice of neuropsychology in South Africa (SA). The purpose was to analyze the characteristics of individuals working in the profession of neuropsychology in order to understand their background, professional training, current work situation, assessment and diagnostic procedures, rehabilitation techniques, teaching responsibilities, and research activities...
March 21, 2017: Applied Neuropsychology. Adult
https://www.readbyqxmd.com/read/28323113/longitudinal-analysis-of-discussion-topics-in-an-online-breast-cancer-community-using-convolutional-neural-networks
#20
Shaodian Zhang, Edouard Grave, Elizabeth Sklar, Noémie Elhadad
Identifying topics of discussions in online health communities (OHC) is critical to various information extraction applications, but can be difficult because topics of OHC content are usually heterogeneous and domain-dependent. In this paper, we provide a multi-class schema, an annotated dataset, and supervised classifiers based on convolutional neural network (CNN) and other models for the task of classifying discussion topics. We apply the CNN classifier to the most popular breast cancer online community, and carry out cross-sectional and longitudinal analyses to show topic distributions and topic dynamics throughout members' participation...
March 18, 2017: Journal of Biomedical Informatics
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