Linking social media, medical literature, and clinical notes using deep learning.

Researchers analyze data, information, and knowledge through many sources, formats, and methods. The dominant data format includes text and images. In the healthcare industry, professionals generate a large quantity of unstructured data. The complexity of this data and the lack of computational power causes delays in analysis. However, with emerging deep learning algorithms and access to computational powers such as graphics processing unit (GPU) and tensor processing units (TPUs), processing text and images is becoming more accessible. Deep learning algorithms achieve remarkable results in natural language processing (NLP) and computer vision. In this study, we focus on NLP in the healthcare industry and collect data not only from electronic medical records (EMRs) but also medical literature and social media. We propose a framework for linking social media, medical literature, and EMRs clinical notes using deep learning algorithms. Connecting data sources requires defining a link between them, and our key is finding concepts in the medical text. The National Library of Medicine (NLM) introduces a Unified Medical Language System (UMLS) and we use this system as the foundation of our own system. We recognize social media’s dynamic nature and apply supervised and semi-supervised methodologies to generate concepts. Named entity recognition (NER) allows efficient extraction of information, or entities, from medical literature, and we extend the model to process the EMRs’ clinical notes via transfer learning. The results include an integrated, end-to-end, web-based system solution that unifies social media, literature, and clinical notes, and improves access to medical knowledge for the public and experts

Atanassov’s intuitionistic fuzzy index of hypergroupoids

In this work we introduce the concept of Atanassov’s intuitionistic fuzzy index of a hypergroupoid based on the notion of intuitionistic fuzzy grade of a hypergroupoid. We calculate it for some particular hypergroups, making evident some of its special properties

Determination of thermal properties of the Cavendish banana peel as a function of temperature and moisture

The three most important characteristics of heat transfer in materials are thermal conductivity, thermal diffusivity and specific heat capacity. The thermal conductivity of banana peel was measured with a linear heat source. The specific heat of banana peel was obtained with a calorimeter. The thermal diffusivity coefficients were obtained by using mathematical equations. The results showed that the effect of moisture content and temperature on the thermal conductivity coefficients, specific heat and thermal diffusivity coefficients was significant at 1%. By increasing temperature, the thermal conductivity coefficients have increased in all moisture content. By reducing the moisture content the thermal conductivity coefficients were reduced in all temperature level. Highest thermal diffusivity coefficients took placed in 85.39 (w.b.%) moisture content and 45˚C temperature. The lowest thermal diffusivity happened at moisture content of 65.58 (w.b.%) and 35˚C temperature. The lowest specific heat value was in moisture 65.58 (w.b.%) and the temperature 25˚C. Also increasing the moisture content and temperature has increased the thermal diffusivity coefficients

The Status of Librarians’ Communication Skills and the Effective Factors in Public Libraries

The main aim of this survey was to assess the status of librarians\u27 communication skills in public libraries of Mashhad, Iran. The research population included all the librarians (n = 70) employed in the public libraries. The desired sample (n=59) was selected based on Krejcie and Morgan’s sample size table through simple random sampling. A researcher-made questionnaire of communication skills was used to collect data. The collected data were analyzed via the SPSS using descriptive and inferential statistics. The findings showed that the level of the librarians’ communication skills was undesirable and that there was no significant difference between the mean scores of the librarians’ communication skills in terms of demographic and professional characteristics

The reliability and validity of the persian version of sinonasal outcome test 22 (Snot22) questionnaires

Background: The quality of life (QOL) is an important indicator for disease-severity classification and outcome measurement in obtaining treatment sinonasal diseases. The sinonasal outcome test 22 (SNOT 22) questionnaire has been introduced as the best specific sinonasal instrument for QOL measurement. Objectives: To prepare a valid and reliable Persian language version of SNOT 22 questionnaire. Patients and Methods: After forward and backward translation of the original version of SNOT 22 questionnaire from English to Persian, a group of patients with nasal septal deviation who need septal surgery and another group of healthy volunteers answered the Persian version of the questionnaire. The responsiveness rate, validity (Pearson correlations and differential validity) and reliability (internal consistency and test-retest reliability) of the 22 items of the questionnaire was calculated. P value < 0.05 was considered significant. Results: Thirty adults with nasal septal deviation need surgical correction and 30 healthy volunteers were included (mean age 30.4 ± 7.1 vs. 33 ± 6.7, P value = 0.148). The questionnaire was introduced to subjects two times with a two-week-period gap. Total responsiveness rate for 22 items was more than 97%. The total Cronbach's Alfa coefficient was 0.898 (ranging 0.890-0.903). The Pearson correlations were 0.85 and 0.96 for patients and healthy volunteers, respectively. The mean total score were 25.6 ± 13.3 (range 6-52) and 7.6 ± 9.1 (range 0-45) in patients and healthy volunteers, respectively (P < 0.0001). The subscales scores were also significantly different between two groups. Conclusions: The Persian version of SNOT 22 questionnaire is a valid and reliable instrument for accessing sinonasal diseases in Persianspeaking people

بررسی نیازهای آموزشی توانبخشی مادران کودکان اتستیک

چکیده مقدمه: اُتيسم اختلال عصب شناختي رو به گسترشي است كه ابعاد مختلف عملكرد كودك و خانواده را تحت تاثير قرار مي‌دهد و نيازمند ارايه خدمات توانبخشي و درماني چند بعدي و گاه مادام‌العمر است لذا پژوهش حاضر با هدف بررسی نیازهای مادران کودکان اتیستیک انجام شده است. مواد و روش‌ها:این پژوهش از نوع نیازسنجی است. گروه نمونه، والدین 41 نفر از کودکان اتیسم را شامل می‌شود که به صورت نمونه‌گیری در دسترس از سه کلینیک اتیسم شهرستان مشهد، انتخاب شدند. شرکت‌کنندگان، پرسش‌نامه پژوهشگرساخته، شامل نُه مقوله آموزشی- توانبخشی را کامل کردند. پایایی کل پرسش‌نامه (نُه مقوله) به شیوه ضریب آلفای کرونباخ 94/0= a محاسبه شد. يافته‌ها: نتایج تی تک نمونه‌ای نشان داد که والدین کودکان اتیسم، همه مقوله‌های آموزشی- توانبخشی را مورد نیاز ارزیابی کردند و چهار مقوله آشنایی با مسایل خودیاری کودک، آشنایی با مهارت‌های بازی کودک و بازی کردن والدین با کودک، آشنایی با مشکلات شناختی و ذهنی کودک و آموزش مهارت‌های ارتباطی را بسیار مورد نیاز ارزیابی کردند. همچنین، نتایج تحلیل واریانس چند متغیره نشان داد که سن کودک، ترتیب تولد کودک، سن مادر و میزان تحصیلات والدین، در اولویت بندی نیازها، تأثیری نداشته است. نتيجه‌گيري: به كارگيري نتايج و اولويت‌هاي مستخرج از نيازسنجي حاضر مي‌تواند متخصصان و درمانگران را جهت ارايه خدمات توان‌بخشي و روانشناختي از اولويت بالا يا در حد بسيار مورد نياز تا اولويت‌هاي بعدي يا در حد مورد نياز ياري رسانند. . کلیدواژه‌ها: کودکان اتستیک، نیازهای آموزشی توانبخشی، نیازسنج

Effects of Nannochloropsis oculata and Isochrysis galbana microalgae added in biofloc system on body composition and sensory evaluation of fillets in Nile tilapia, Oreochromis niloticus

Biofloc technology is a technique to maintain water quality by absorbing water nitrogen and converting it into the microbial protein. The purpose of this study was to investigate the effects of adding Nannochloropsis oculata and Isochrysis galbana on biochemical composition of biofloc and Nile tilapia (Oreochromis niloticus) fillet. This study was carried out using 5 treatments including control (T1), biofloc group (T2), treatments containing biofloc and N. oculata (T3), biofloc and I. galbana (T4), and biofloc and combination of both algae (T5) on Nile tilapia with a density of 15 fish per tank (with water intake volume of 150 liters) and in the system without water exchange in a period of 60 days. According to the results, the highest values of fish fillet fat were obtained in the treatments containing biofloc (p0.05); however, significantly highest compared to the control (p0.05). Also, the highest amount of carbohydrates was observed in the control group (p0.05). Using 75% of the feeding required for tilapia in the biofloc system caused an elevation in body protein compared to the control treatment. In addition, the amount of fat also upraised due to the employment of this system. Using single-celled algae resulted in an increase in the amount of biofloc and an effect on the composition of Nile tilapia fish fillets

Experimental and Theoretical Study on the CH4 Adsorption by Granular and Microporous Activated Carbon

Adsorbed natural gas (ANG) by Granular Activated Carbon (GAC) has been widely investigated as an alternative to CNG and LNG technologies for storage and transportation of natural gas. In the present work, a theoretical and experimental study was conducted to accurately determine the amount of adsorption of CH4 by GAC. To carry out the experiments, the volumetric method was used up to 4 MPa at constant temperature of 298 K. Also, various adsorption isotherm models were used to model the experimental data collected from the experiments. The accuracy of the results              obtained from the adsorption isotherm models was compared and the values for the regressed parameters were reported. The results shows that the amount of CH4 adsorbed is dependent on the physical characteristics of activated carbons. Moreover, the Toth, two term TVFM and Sips isotherm models show good agreement with the experimental data

Emotional and Cognitive Experiences of Pregnant Women Following Prenatal Diagnosis of Fetal Anomalies: A Qualitative Study in Iran

Background: Pregnant women are often ill-prepared for the health of their unborn child in the case of abnormal findings, and experience several difficulties following the detection of fetal anomalies. Therefore, this study was conducted to explore the emotional and cognitive experiences of pregnant women following prenatal diagnosis of fetal anomalies in Mashhad, Iran. Methods: This qualitative conventional content analysis study was designed through two referral centers for fetal anomaly. The data were collected from April 2017 to January 2018 in Mashhad (Iran) through individual semi-structured in-depth interviews, from 25 pregnant women with a prenatal diagnosis of fetal anomalies. Results: Four categories and 10 subcategories emerged. Category one, grief reactions during the time of diagnosis, contained two subcategories: shocked and panicked, and distressed and disbelieved.Category two, perinatal loss through a pregnancy termination, contained four subcategories: guilt and shame during pregnancy termination, loss of their expected child, suffering and emotional distress process, and unmet needs by health professionals. Category three, fears of recurrence in future pregnancies, had two subcategories: worried about inadequate prenatal care in the future pregnancies and worried about abnormal fetus in next pregnancies. Finally, Category four, a dilemma between hope and worries contained two subcategories: hope for normality and worried about future. Conclusion: It is important to monitor emotional reactions of women following prenatal anomaly diagnosis. So, training clinicians and health-care professionals for proper response to grief reaction in post therapeutic abortion is essential