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141. The predictive role of spiritual intelligence in self-management in adolescents with type 1 diabetes Full Text available with Trip Pro

this descriptive-correlation study, 200 adolescents with type 1 diabetes were enrolled. To measure spiritual intelligence, the 24-question SISRI questionnaire and to measure self-management of diabetes, the SMOD-A questionnaire (48 questions) were used. Data were analyzed using SPSS software version 18 using linear regression analysis tests. Data collection was conducted by simple sampling.Mean score of self-management of diabetes and spirituality was 86.1 ± 15.1 and 60.42 ± 12.9, respectively. Linear (...) regression test (ANOVA: 0.002, F = 9.839) showed effect on diabetes self-management (β: 0.218).This study showed that spiritual intelligence can predict diabetes self-management, though poorly predicted, and by strengthening it, has a decisive role in improving the health of adolescents with diabetes. Considering the findings of this study, a new window of nurses' performance in managing diabetes based on the promotion of spiritual intelligence in the educational, care, counseling, and support roles

2018 Journal of education and health promotion

142. The codification of spiritual intelligence measurement model in librarianship and medical information science students of medical universities in Iran Full Text available with Trip Pro

, and 270 students were opted from library and medical information students of nationwide medical universities by simple random sampling and responded to the King spiritual intelligence questionnaire (2008). Initially, based on the data, the model parameters were estimated using maximum likelihood method; then, spiritual intelligence measurement model was tested by fit indices. Data analysis was performed by Smart-Partial Least Squares software.Preliminary results showed that due to the positive (...) indicators of predictive association and t-test results for spiritual intelligence parameters, the King measurement model has the acceptable fit and internal correlation of the questionnaire items was significant. Composite reliability and Cronbach's alpha of parameters indicated high reliability of spiritual intelligence model.The spiritual intelligence measurement model was evaluated, and results showed that the model has a good fit, so it is recommended that domestic researchers use this questionnaire

2018 Journal of education and health promotion

143. Emotional intelligence among medical students: a mixed methods study from Chennai, India Full Text available with Trip Pro

, survey was conducted among 207 medical students in a college in Chennai, India using the Quick Emotional Intelligence Self Assessment Test and some hypothetical emotional clinical vignettes. This was followed by a qualitative moderated fish-bowl discussion to elicit the opinion of medical students on role of emotions in the practice of medicine.The mean score of Emotional Intelligence was 107.58 (SD 16.44) out of a maximum possible score of 160. Students who went to government schools for high school (...) Emotional intelligence among medical students: a mixed methods study from Chennai, India Emotional Intelligence is the ability of a person to understand and respond to one's own and others' emotions and use this understanding to guide one's thoughts and actions. To assess the level of emotional intelligence of medical students in a medical college in Chennai and to explore their understanding of the role of emotions in medical practice.A quantitative, cross sectional, questionnaire based

2018 BMC medical education

144. Building predictive in vitro pulmonary toxicity assays using high-throughput imaging and artificial intelligence Full Text available with Trip Pro

Building predictive in vitro pulmonary toxicity assays using high-throughput imaging and artificial intelligence Human lungs are susceptible to the toxicity induced by soluble xenobiotics. However, the direct cellular effects of many pulmonotoxic chemicals are not always clear, and thus, a general in vitro assay for testing pulmonotoxicity applicable to a wide variety of chemicals is not currently available. Here, we report a study that uses high-throughput imaging and artificial intelligence (...) information (88.8% balance accuracy, 84.6% sensitivity, and 93.0% specificity). In comparison, the predictivity of a standard cell-viability assay on the same set of chemicals is much lower (77.1% balanced accuracy, 84.6% sensitivity, and 69.5% specificity). We also used the assay to evaluate 17 additional test chemicals with unknown/unclear human pulmonotoxicity, and experimentally confirmed that many of the pulmonotoxic reference and predicted-positive test chemicals induce DNA strand breaks

2018 Archives of toxicology

145. The relationship between emotional intelligence and critical thinking skills in Iranian nursing students Full Text available with Trip Pro

in nursing students. Methods: This was a quantitative, descriptive-correlative Study. Participants were nursing students in different levels. To collect data, California Critical Thinking Test (form B) and Bar-On Emotional Intelligence Questionnaire were used. Then, data were analyzed with descriptive and inferential statistics using SPSS 16 software. Results: Pearson correlation test showed no significant correlation between the total score of critical thinking skills and each of its components (...) The relationship between emotional intelligence and critical thinking skills in Iranian nursing students Background: Critical thinking skills are one of the most important competencies in successful clinical performance of nursing students. Emotional intelligence is also one of the concepts related to critical thinking and can play an important role in the ability to think. Thus, this study was conducted to investigate the relationship between emotional intelligence and critical thinking

2018 Medical journal of the Islamic Republic of Iran

146. Agent-Based Intelligent Interface for Wheelchair Movement Control Full Text available with Trip Pro

Agent-Based Intelligent Interface for Wheelchair Movement Control People who suffer from any kind of motor difficulty face serious complications to autonomously move in their daily lives. However, a growing number research projects which propose different powered wheelchairs control systems are arising. Despite of the interest of the research community in the area, there is no platform that allows an easy integration of various control methods that make use of heterogeneous sensors (...) system, a voice interface or as specifically designed smartphone application. A set of tests were conducted to test both the platform adequacy and the accuracy and ease of use of the proposed control systems yielding positive results that can be useful in further wheelchair interfaces design and implementation.

2018 Sensors (Basel, Switzerland)

147. Understanding the Links Between Self-Report Emotional Intelligence and Suicide Risk: Does Psychological Distress Mediate This Relationship Across Time and Samples? Full Text available with Trip Pro

Understanding the Links Between Self-Report Emotional Intelligence and Suicide Risk: Does Psychological Distress Mediate This Relationship Across Time and Samples? Objective: In the last decades, increasing attention has been paid to examining psychological resources that might contribute to our understanding of suicide risk. Although Emotional Intelligence (EI) is one dimension that has been linked with decreased suicidal ideation and behaviors, we detected several gaps in the literature (...) in this area regarding the research designs and samples involved. In this research, we aimed to test a mediator model considering self-report EI, psychological distress and suicide risk across samples adopting both cross-sectional and prospective designs in two independent studies. Method: In Study 1, our purpose was to examine the potential role of psychological distress as a mediator in the relationship between self-report EI and suicide risk in a community sample comprised of 438 adults (270 women; mean

2018 Frontiers in Psychiatry

148. A Vision-Based Counting and Recognition System for Flying Insects in Intelligent Agriculture Full Text available with Trip Pro

are selected to assess the effectiveness of the system. Compared with the conventional methods, the test results show promising performance. The average counting accuracy is 92.50% and average classifying accuracy is 90.18% on Raspberry PI. The proposed system is easy-to-use and provides efficient and accurate recognition data, therefore, it can be used for intelligent agriculture applications. (...) A Vision-Based Counting and Recognition System for Flying Insects in Intelligent Agriculture Rapid and accurate counting and recognition of flying insects are of great importance, especially for pest control. Traditional manual identification and counting of flying insects is labor intensive and inefficient. In this study, a vision-based counting and classification system for flying insects is designed and implemented. The system is constructed as follows: firstly, a yellow sticky trap

2018 Sensors (Basel, Switzerland)

149. Diffusion markers of dendritic density and arborization in gray matter predict differences in intelligence Full Text available with Trip Pro

, neuroimaging studies have shown that intelligent individuals, despite their larger brains, tend to exhibit lower rates of brain activity during reasoning. However, the microstructural architecture underlying both observations remains unclear. By combining advanced multi-shell diffusion tensor imaging with a culture-fair matrix-reasoning test, we found that higher intelligence in healthy individuals is related to lower values of dendritic density and arborization. These results suggest that the neuronal (...) Diffusion markers of dendritic density and arborization in gray matter predict differences in intelligence Previous research has demonstrated that individuals with higher intelligence are more likely to have larger gray matter volume in brain areas predominantly located in parieto-frontal regions. These findings were usually interpreted to mean that individuals with more cortical brain volume possess more neurons and thus exhibit more computational capacity during reasoning. In addition

2018 Nature communications

150. Design, Fabrication, and Implementation of an Array-Type MEMS Piezoresistive Intelligent Pressure Sensor System Full Text available with Trip Pro

Design, Fabrication, and Implementation of an Array-Type MEMS Piezoresistive Intelligent Pressure Sensor System To meet the radiosonde requirement of high sensitivity and linearity, this study designs and implements a monolithically integrated array-type piezoresistive intelligent pressure sensor system which is made up of two groups of four pressure sensors with the pressure range of 0⁻50 kPa and 0⁻100 kPa respectively. First, theoretical models and ANSYS (version 14.5, Canonsburg, PA, USA (...) ) and microelectromechanical system (MEMS) process. Furthermore, an intelligent acquisition and processing system for pressure and temperature signals is achieved. The S3C2440A microprocessor (Samsung, Seoul, Korea) is regarded as the core part which can be applied to collect and process data. In particular, digital signal storage, display and transmission are realized by the application of a graphical user interface (GUI) written in QT/E. Besides, for the sake of compensating the temperature drift and nonlinear error

2018 Micromachines

151. Automatic detection of mycobacterium tuberculosis using artificial intelligence Full Text available with Trip Pro

Automatic detection of mycobacterium tuberculosis using artificial intelligence Tuberculosis (TB) is a global issue that seriously endangers public health. Pathology is one of the most important means for diagnosing TB in clinical practice. To confirm TB as the diagnosis, finding specially stained TB bacilli under a microscope is critical. Because of the very small size and number of bacilli, it is a time-consuming and strenuous work even for experienced pathologists, and this strenuosity often (...) leads to low detection rate and false diagnoses. We investigated the clinical efficacy of an artificial intelligence (AI)-assisted detection method for acid-fast stained TB bacillus.We built a convolutional neural networks (CNN) model, named tuberculosis AI (TB-AI), specifically to recognize TB bacillus. The training set contains 45 samples, including 30 positive cases and 15 negative cases, where bacilli are labeled by human pathologists. Upon training the neural network model, 201 samples (108

2018 Journal of thoracic disease

152. Clinician-Driven Design of VitalPAD–An Intelligent Monitoring and Communication Device to Improve Patient Safety in the Intensive Care Unit Full Text available with Trip Pro

Clinician-Driven Design of VitalPAD–An Intelligent Monitoring and Communication Device to Improve Patient Safety in the Intensive Care Unit The pediatric intensive care unit (ICU) is a complex environment, in which a multidisciplinary team of clinicians (registered nurses, respiratory therapists, and physicians) continually observe and evaluate patient information. Data are provided by multiple, and often physically separated sources, cognitive workload is high, and team communication can (...) be challenging. Our aim is to combine information from multiple monitoring and therapeutic devices in a mobile application, the VitalPAD, to improve the efficiency of clinical decision-making, communication, and thereby patient safety. We observed individual ICU clinicians, multidisciplinary rounds, and handover procedures for 54 h to identify data needs, workflow, and existing cognitive aid use and limitations. A prototype was developed using an iterative participatory design approach; usability testing

2018 IEEE journal of translational engineering in health and medicine

153. The Effect of Self-Care Education on Emotional Intelligence and HbA1c level in Patients with Type 2 Diabetes Mellitus: A Randomized Controlled Clinical Trial Full Text available with Trip Pro

The Effect of Self-Care Education on Emotional Intelligence and HbA1c level in Patients with Type 2 Diabetes Mellitus: A Randomized Controlled Clinical Trial The role of Emotional Intelligence (EI) in glycemic control in type 2 Diabetes Mellitus (DM) has not been fully understood. The present study aimed to investigate the effect of self-care education on EI and hemoglobin glycosylated (HbA1c) in patients with type 2 diabetes.In this randomized controlled clinical trial, 48 patients with type 2 (...) DM referred to Shahid Motahari Diabetes Center in 2015 were divided into an intervention and a control group using block randomization. The study data were collected using Bar-On questionnaire and blood testing immediately and two months after the intervention. The educational content was presented to the intervention group through 1-1:30-hour sessions held once a week for 8 continuous weeks. The control group, however, only received the clinic's routine cares.The results showed a significant

2018 International journal of community based nursing and midwifery Controlled trial quality: uncertain

154. Aerial Mapping of Forests Affected by Pathogens Using UAVs, Hyperspectral Sensors, and Artificial Intelligence Full Text available with Trip Pro

Aerial Mapping of Forests Affected by Pathogens Using UAVs, Hyperspectral Sensors, and Artificial Intelligence The environmental and economic impacts of exotic fungal species on natural and plantation forests have been historically catastrophic. Recorded surveillance and control actions are challenging because they are costly, time-consuming, and hazardous in remote areas. Prolonged periods of testing and observation of site-based tests have limitations in verifying the rapid proliferation (...) of exotic pathogens and deterioration rates in hosts. Recent remote sensing approaches have offered fast, broad-scale, and affordable surveys as well as additional indicators that can complement on-ground tests. This paper proposes a framework that consolidates site-based insights and remote sensing capabilities to detect and segment deteriorations by fungal pathogens in natural and plantation forests. This approach is illustrated with an experimentation case of myrtle rust (Austropuccinia psidii

2018 Sensors (Basel, Switzerland)

155. Artificial Intelligence Approach for Variant Reporting Full Text available with Trip Pro

Artificial Intelligence Approach for Variant Reporting Next-generation sequencing technologies are actively applied in clinical oncology. Bioinformatics pipeline analysis is an integral part of this process; however, humans cannot yet realize the full potential of the highly complex pipeline output. As a result, the decision to include a variant in the final report during routine clinical sign-out remains challenging.We used an artificial intelligence approach to capture the collective clinical (...) sign-out experience of six board-certified molecular pathologists to build and validate a decision support tool for variant reporting. We extracted all reviewed and reported variants from our clinical database and tested several machine learning models. We used 10-fold cross-validation for our variant call prediction model, which derives a contiguous prediction score from 0 to 1 (no to yes) for clinical reporting.For each of the 19,594 initial training variants, our pipeline generates approximately

2018 JCO clinical cancer informatics

156. Design and Implementation of a Wireless Sensor and Actuator Network to Support the Intelligent Control of Efficient Energy Usage Full Text available with Trip Pro

Design and Implementation of a Wireless Sensor and Actuator Network to Support the Intelligent Control of Efficient Energy Usage Energy saving has become a major concern for the developed society of our days. This paper presents a Wireless Sensor and Actuator Network (WSAN) designed to provide support to an automatic intelligent system, based on the Internet of Things (IoT), which enables a responsible consumption of energy. The proposed overall system performs an efficient energetic management (...) of devices, machines and processes, optimizing their operation to achieve a reduction in their overall energy usage at any given time. For this purpose, relevant data is collected from intelligent sensors, which are in-stalled at the required locations, as well as from the energy market through the Internet. This information is analysed to provide knowledge about energy utilization, and to improve efficiency. The system takes autonomous decisions automatically, based on the available information

2018 Sensors (Basel, Switzerland)

157. Future Innovations in Viral Immune Surveillance: A Novel Place for Bioinformation and Artificial Intelligence in the Administration of Health Care Full Text available with Trip Pro

Future Innovations in Viral Immune Surveillance: A Novel Place for Bioinformation and Artificial Intelligence in the Administration of Health Care Novel developments in bioinformation, bioinformatics and biostatistics, including artificial intelligence (AI), play a timely and critical role in translational care. Case in point, the extent to which viral immune surveillance is regulated by immune cells and soluble factors, and by non-immune factors informs the administration of health care (...) that, allostatically speaking, interfere with regaining health. Any gaps in knowledge are filled by AI-aided immune tweening. Proof of concept can be tested with the fast-gaining infection using tick-borne Bunyavirus that cause severe fever with thrombocytopenia syndrome (SFTS).

2018 Bioinformation

158. Elucidating the Functional Relationship Between Speed of Information Processing and Speed-, Capacity-, and Memory-Related Aspects of Psychometric Intelligence Full Text available with Trip Pro

task and the Berlin Intelligence Structure (BIS) test were administered to 240 participants. From the BIS test, indicators of BIS -Capacity, BIS -Speed, and BIS -Memory were determined. By means of fixed-links modeling, we subdivided variance in reaction time from the Hick task into a component representing individual differences in speed directly related to the systematically increased number of possible responses and another component representing individual differences in speed associated (...) Elucidating the Functional Relationship Between Speed of Information Processing and Speed-, Capacity-, and Memory-Related Aspects of Psychometric Intelligence Numerous studies reported a positive relationship between speed of information processing (SIP) and the g factor of intelligence. Only very few studies, however, examined SI P's relationship to speed-, capacity-, and memory-related aspects of psychometric intelligence. In order to further elucidate this relationship, a Hick reaction time

2018 Advances in Cognitive Psychology

159. Associations between emotional intelligence, empathy and personality in Japanese medical students Full Text available with Trip Pro

Associations between emotional intelligence, empathy and personality in Japanese medical students It is known that empathic communication is important for physicians to achieve higher patient satisfaction and health outcomes. Emotional intelligence (EI), empathy and personality in medical students predict students' individual disposition and their emotional and empathic perceptions. This study aimed to investigate: 1) The association between empathy, EI and personality, and 2) Gender (...) differences in the association between empathy, EI and personality.Participants were 357 1st year medical students from 2008 to 2011 at one medical school in Japan. Students completed self-report questionnaires comprising three validated instruments measuring EI: Trait Emotional Intelligence Questionnaire-Short Form (TEIQue-SF), empathy: Jefferson Scale of Physician Empathy- student version (JSPE) and personality: NEO-Five-Factor Inventory (NEO-FFI), which explores 5 dimensions of personality Neuroticism

2018 BMC medical education

160. Application of artificial intelligence using a convolutional neural network for detecting gastric cancer in endoscopic images. Full Text available with Trip Pro

Application of artificial intelligence using a convolutional neural network for detecting gastric cancer in endoscopic images. Image recognition using artificial intelligence with deep learning through convolutional neural networks (CNNs) has dramatically improved and been increasingly applied to medical fields for diagnostic imaging. We developed a CNN that can automatically detect gastric cancer in endoscopic images.A CNN-based diagnostic system was constructed based on Single Shot MultiBox (...) Detector architecture and trained using 13,584 endoscopic images of gastric cancer. To evaluate the diagnostic accuracy, an independent test set of 2296 stomach images collected from 69 consecutive patients with 77 gastric cancer lesions was applied to the constructed CNN.The CNN required 47 s to analyze 2296 test images. The CNN correctly diagnosed 71 of 77 gastric cancer lesions with an overall sensitivity of 92.2%, and 161 non-cancerous lesions were detected as gastric cancer, resulting

2018 Gastric Cancer

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