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https://www.readbyqxmd.com/read/29352346/the-evolution-of-breast-reduction-publications-a-bibliometric-analysis
#1
Ümran Muslu
OBJECTIVE: This study aims to make a bibliometric analysis of the studies on breast reduction (BR) between the years 1980 and 2016 and identify important studies through trend topics as well as active authors, countries, universities, scientific journals, and citation and co-citation analyses about BR. BACKGROUND: Although BR looks like one of the cosmetic surgeries performed in order to restore the woman's appearance, in fact it is a reconstructive surgery that eliminates back pain, stance disorder, headache, shoulder pain, back and cervical disk hernia, difficulty in breathing, hollowness caused by bra straps, hygiene problems under breasts (e...
January 19, 2018: Aesthetic Plastic Surgery
https://www.readbyqxmd.com/read/29341808/development-of-an-open-access-web-based-interactive-tool-to-learn-autonomic-nervous-system-physiology-and-pharmacology
#2
Aydin Zahedivash, Michael W Lee
No abstract text is available yet for this article.
March 1, 2018: Advances in Physiology Education
https://www.readbyqxmd.com/read/29339971/terzyme-a-tool-for-identification-and-analysis-of-the-plant-terpenome
#3
Piyush Priya, Archana Yadav, Jyoti Chand, Gitanjali Yadav
Background: Terpenoid hydrocarbons represent the largest and most ancient group of phytochemicals, such that the entire chemical library of a plant is often referred to as its 'terpenome'. Besides having numerous pharmacological properties, terpenes contribute to the scent of the rose, the flavors of cinnamon and the yellow of sunflowers. Rapidly increasing -omics datasets provide an unprecedented opportunity for terpenome detection, paving the way for automated web resources dedicated to phytochemical predictions in genomic data...
2018: Plant Methods
https://www.readbyqxmd.com/read/29336343/-on-line-learning-in-urologic-surgery-the-value-of-the-2-0-web-tools
#4
Ignacio T Castillón Vela
The field of Surgery is under the pressure of accelerated change where technological cycles get shorter and shorter, sometimes transformational. Learning and training have gotten a key role because learning curves for new techniques directly affect patient's safety and learning cycles are slower. The traditional learning model within the urology department is overwhelmed. We need new training and learning methods. The aim of this article is to perform a critical analysis of the current status of learning in urological surgery and the challenges we face, evaluating how new information and communication technologies can help us to facilitate the learning process...
January 2018: Archivos Españoles de Urología
https://www.readbyqxmd.com/read/29331798/engaging-students-in-a-community-of-learning-renegotiating-the-learning-environment
#5
Karen A Theobald, Carol A Windsor, Elizabeth M Forster
Promoting student engagement in a student led environment can be challenging. This article reports on the process of design, implementation and evaluation of a student led learning approach in a small group tutorial environment in a three year Bachelor of Nursing program at an Australian university. The research employed three phases of data collection. The first phase explored student perceptions of learning and engagement in tutorials. The results informed the development of a web based learning resource...
December 27, 2017: Nurse Education in Practice
https://www.readbyqxmd.com/read/29329293/cognitive-deficits-and-educational-loss-in-children-with-schistosome-infection-a-systematic-review-and-meta-analysis
#6
Amara E Ezeamama, Amaya L Bustinduy, Allan K Nkwata, Leonardo Martinez, Noel Pabalan, Michael J Boivin, Charles H King
BACKGROUND: By means of meta-analysis of information from all relevant epidemiologic studies, we examined the hypothesis that Schistosoma infection in school-aged children (SAC) is associated with educational loss and cognitive deficits. METHODOLOGY/PRINCIPAL FINDINGS: This review was prospectively registered in the PROSPERO database (CRD42016040052). Medline, Biosis, and Web of Science were searched for studies published before August 2016 that evaluated associations between Schistosoma infection and cognitive or educational outcomes...
January 2018: PLoS Neglected Tropical Diseases
https://www.readbyqxmd.com/read/29329288/soil-transmitted-helminth-infection-loss-of-education-and-cognitive-impairment-in-school-aged-children-a-systematic-review-and-meta-analysis
#7
Noel Pabalan, Eloisa Singian, Lani Tabangay, Hamdi Jarjanazi, Michael J Boivin, Amara E Ezeamama
BACKGROUND: Evidence of an adverse influence of soil transmitted helminth (STH) infections on cognitive function and educational loss is equivocal. Prior meta-analyses have focused on randomized controlled trials only and have not sufficiently explored the potential for disparate influence of STH infection by cognitive domain. We re-examine the hypothesis that STH infection is associated with cognitive deficit and educational loss using data from all primary epidemiologic studies published between 1992 and 2016...
January 2018: PLoS Neglected Tropical Diseases
https://www.readbyqxmd.com/read/29326098/cognitive-and-behavioral-skills-exercises-completed-by-patients-with-major-depression-during-smartphone-cognitive-behavioral-therapy-secondary-analysis-of-a-randomized-controlled-trial
#8
Toshi A Furukawa, Masaru Horikoshi, Hirokazu Fujita, Naohisa Tsujino, Ran Jinnin, Yuki Kako, Sei Ogawa, Hirotoshi Sato, Nobuki Kitagawa, Yoshihiro Shinagawa, Yoshio Ikeda, Hissei Imai, Aran Tajika, Yusuke Ogawa, Tatsuo Akechi, Mitsuhiko Yamada, Shinji Shimodera, Norio Watanabe, Masatoshi Inagaki, Akio Hasegawa
BACKGROUND: A strong and growing body of evidence has demonstrated the effectiveness of cognitive behavioral therapy (CBT), either face-to-face, in person, or as self-help via the Internet, for depression. However, CBT is a complex intervention consisting of several putatively effective components, and how each component may or may not contribute to the overall effectiveness of CBT is poorly understood. OBJECTIVE: The aim of this study was to investigate how the users of smartphone CBT use and benefit from various components of the program...
January 11, 2018: JMIR Mental Health
https://www.readbyqxmd.com/read/29324298/calibration-of-raw-accelerometer-data-to-measure-physical-activity-a-systematic-review
#9
REVIEW
Márcio de Almeida Mendes, Inácio C M da Silva, Virgílio V Ramires, Felipe F Reichert, Rafaela C Martins, Elaine Tomasi
Most of calibration studies based on accelerometry were developed using count-based analyses. In contrast, calibration studies based on raw acceleration signals are relatively recent and their evidences are incipient. The aim of the current study was to systematically review the literature in order to summarize methodological characteristics and results from raw data calibration studies. The review was conducted up to May 2017 using four databases: PubMed, Scopus, SPORTDiscus and Web of Science. Methodological quality of the included studies was evaluated using the Landis and Koch's guidelines...
December 30, 2017: Gait & Posture
https://www.readbyqxmd.com/read/29319610/the-effectiveness-of-online-pain-resources-for-health-professionals-a-systematic-review-with-subset-meta-analysis-of-educational-intervention-studies
#10
Christina Liossi DPsych, Alessandro Failo PhD, Daniel E Schoth PhD, Glyn Williams Md, Richard Howard Md
Online educational interventions are increasingly developed for health professionals and students, although graduate and undergraduate medical curricular often contain limited information about how to assess and manage pain. This study reviews the literature on the effectiveness of pain-related online educational resources. Studies were identified via a search of Medline, PsychINFO, Web of Science, CINAHL, PubMed, Scopus, Cochrane Library, Google Scholar and OpenGrey databases. Search terms included three concept blocks: (i) type of intervention - online education, computer-based, e-learning, web-based, and internet-based; (ii) population - pediatrician, physician, nurse, psychologist, medical; (iii) outcome - pain*...
January 9, 2018: Pain
https://www.readbyqxmd.com/read/29309523/protein-classification-using-modified-n-grams-and-skip-grams
#11
S M Ashiqul Islam, Benjamin J Heil, Christopher Michel Kearney, Erich J Baker
Motivation: Classification by supervised machine learning greatly facilitates the annotation of protein characteristics from their primary sequence. However, the feature generation step in this process requires detailed knowledge of attributes used to classify the proteins. Lack of this knowledge risks the selection of irrelevant features, resulting in a faulty model. In this study, we introduce a supervised protein classification method with a novel means of automating the work-intensive feature generation step via a Natural Language Processing (NLP)-dependent model, using a modified combination of n-grams and skip-grams (m- NGSG)...
December 22, 2017: Bioinformatics
https://www.readbyqxmd.com/read/29308087/mobilizing-agencies-for-incidence-surveys-on-child-maltreatment-successful-participation-in-switzerland-and-lessons-learned
#12
Andreas Jud, Céline Kosirnik, Tanja Mitrovic, Hakim Ben Salah, Etienne Fux, Jana Koehler, Rahel Portmann, René Knüsel
Background: Many countries around the world lack data on the epidemiology of agency response to child maltreatment. They therefore lack information on how many children in need get help and protection or if children stand equal chances across regions to get services. However, it has proven difficult to commit child protection agencies to participation in incidence studies. Methods: The Optimus Study invested in a continuous collaborative effort between research and practice to develop a data collection for the first national study on the incidence of agency responses to all forms of child maltreatment in Switzerland...
2018: Child and Adolescent Psychiatry and Mental Health
https://www.readbyqxmd.com/read/29303000/patient-preferences-and-utilization-of-online-resources-for-patients-treated-in-hand-surgery-practices
#13
Allison J Rao, Christopher J Dy, Charles A Goldfarb, Mark S Cohen, Robert W Wysocki
BACKGROUND: The Internet is a widely used resource by patients however, objective data on details such as frequency of usage and specific sites visited is lacking. We surveyed patients from hand surgery practices to describe patient preferences and utilization patterns for online resources. METHODS: From October 2015 to June 2016, we enrolled patients presenting to 4 orthopedic hand surgeons at 2 academic institutions. Patients completed a survey, with questions related to their preference for learning about their diagnosis and Internet utilization both before and after the visit...
January 1, 2018: Hand: Official Journal of the American Association for Hand Surgery
https://www.readbyqxmd.com/read/29300827/miic-online-a-web-server-to-reconstruct-causal-or-non-causal-networks-from-non-perturbative-data
#14
Nadir Sella, Louis Verny, Guido Uguzzoni, Séverine Affeldt, Hervé Isambert
Summary: We present a web server running the MIIC algorithm, a network learning method combining constraint-based and information-theoretic frameworks to reconstruct causal, non-causal or mixed networks from non-perturbative data, without the need for an a priori choice on the class of reconstructed network. Starting from a fully connected network, the algorithm first removes dispensable edges by iteratively subtracting the most significant information contributions from indirect paths between each pair of variables...
December 29, 2017: Bioinformatics
https://www.readbyqxmd.com/read/29285887/hit-dexter-a-machine-learning-model-for-the-prediction-of-frequent-hitters
#15
Conrad Stork, Johannes Wagner, Nils-Ole Friedrich, Christina de Bruyn Kops, Martin Šícho, Johannes Kirchmair
False-positive assay readouts caused by badly behaving compounds (frequent hitters, pan-assay interference compounds - PAINS, aggregators and others) continue to pose a major challenge to experimental screening. Few in silico methods exist that allow the prediction of such problematic compounds. We report on the development of Hit Dexter, two extremely randomized trees classifiers for the prediction of compounds likely to trigger positive assay readouts either by true promiscuity or by assay interference. The models were trained on a well-prepared dataset extracted from the PubChem Bioassay database, consisting of approximately 311k compounds tested for activity on at least 50 proteins...
December 29, 2017: ChemMedChem
https://www.readbyqxmd.com/read/29281985/deep-convolutional-neural-networks-for-pan-specific-peptide-mhc-class-i-binding-prediction
#16
Youngmahn Han, Dongsup Kim
BACKGROUND: Computational scanning of peptide candidates that bind to a specific major histocompatibility complex (MHC) can speed up the peptide-based vaccine development process and therefore various methods are being actively developed. Recently, machine-learning-based methods have generated successful results by training large amounts of experimental data. However, many machine learning-based methods are generally less sensitive in recognizing locally-clustered interactions, which can synergistically stabilize peptide binding...
December 28, 2017: BMC Bioinformatics
https://www.readbyqxmd.com/read/29280997/deepsig-deep-learning-improves-signal-peptide-detection-in-proteins
#17
Castrense Savojardo, Pier Luigi Martelli, Piero Fariselli, Rita Casadio
Motivation: The identification of signal peptides in protein sequences is an important step toward protein localization and function characterization. Results: Here, we present DeepSig, an improved approach for signal peptide detection and cleavage-site prediction based on deep learning methods. Comparative benchmarks performed on an updated independent dataset of proteins show that DeepSig is the current best performing method, scoring better than other available state-of-the-art approaches on both signal peptide detection and precise cleavage-site identification...
December 21, 2017: Bioinformatics
https://www.readbyqxmd.com/read/29274494/an-integrative-review-developing-and-measuring-creativity-in-nursing
#18
REVIEW
Xing Ma, Yuanyuan Yang, Xue Wang, Yuli Zang
OBJECTIVE: To analyze and synthesise the existing evidence on creativity in nursing. DESIGN: An integrative review. DATA SOURCES: A systematic search was conducted using seven English databases (PubMed, Science Direct, Web of Science, Cochrane, EBSCO, Wiley, and Medline) and the top three best Chinese databases (CNKI, Wanfang Data, and VIP). REVIEW METHODS: The combined keywords, creativity and nursing/nurse, were used to search for relevant journal articles that were written in English or Chinese from January 1995 to December 2016...
December 13, 2017: Nurse Education Today
https://www.readbyqxmd.com/read/29259769/detection-of-illicit-online-sales-of-fentanyls-via-twitter
#19
Tim K Mackey, Janani Kalyanam
A counterfeit fentanyl crisis is currently underway in the United States.  Counterfeit versions of commonly abused prescription drugs laced with fentanyl are being manufactured, distributed, and sold globally, leading to an increase in overdose and death in countries like the United States and Canada.  Despite concerns from the U.S. Drug Enforcement Agency regarding covert and overt sale of fentanyls online, no study has examined the role of the Internet and social media on fentanyl illegal marketing and direct-to-consumer access...
2017: F1000Research
https://www.readbyqxmd.com/read/29249969/toxim-a-toxicity-prediction-tool-for-small-molecules-developed-using-machine-learning-and-chemoinformatics-approaches
#20
Ashok K Sharma, Gopal N Srivastava, Ankita Roy, Vineet K Sharma
The experimental methods for the prediction of molecular toxicity are tedious and time-consuming tasks. Thus, the computational approaches could be used to develop alternative methods for toxicity prediction. We have developed a tool for the prediction of molecular toxicity along with the aqueous solubility and permeability of any molecule/metabolite. Using a comprehensive and curated set of toxin molecules as a training set, the different chemical and structural based features such as descriptors and fingerprints were exploited for feature selection, optimization and development of machine learning based classification and regression models...
2017: Frontiers in Pharmacology
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