In this work, a machine learning methodology is used to predict the progress of the glycemic values of six patients with diabetes. Eight different algorithms are compared i.e. ANN, PNN, Polynomial Regression, Gradient Boosted Trees Regression, Random Forest Regression, Simple Regression Tree, Tree Ensemble Regression, Linear Regression. The algorithms are classified based on the ability to minimize four statistical errors, namely: Mean Absolute Error, Mean Squared Error, Root Mean Squared Error, Mean Signed Difference. Following the analysis, an ordering of the algorithms by predictive efficiency is proposed. Data are collected within the “Smart District 4.0 Project” with the contribution of the Italian Ministry of Economic Development.

Access to health data collections such as clinical notes, discharge summaries or medical charts in Electronic Health Records have increased in the last few years due to increase use of electronic health records that provide instant access to patients’ clinical information. The volume and the unstructured nature of these datasets present great challenges in analyses and subsequent applications to healthcare. The growing volume of clinical data generated and stored in electronic health records creates challenges for physicians when reviewing patients records with the aim of understanding individual patients’ health histories. Electronic healthcare records contain large volumes of unstructured data which requires one to read through to get the required information. This is a challenging task due to lack of suitable techniques to quicly extract needed information. Information processing tools in clinical domain that provide support to users in seeking needed information are lacking. The use of data visualizations have been introduced in an attempt to solve this problem; however, no single approach has been widely adopted. In this paper we propose a unique approach for modelling clinical notes using semantics of various units of a clinical text document to aid doctors in reviewing electronic clinical notes. This is achieved by applying supervised machine learning technique to identify and present semantically similar information together, facilitating the identification of relevant information to users.

Nanocontainers are used globally in diverse fields to encapsulate the cargoes that can potentially overcome various problems associated to different drug delivery systems like stability, solubility, improvement in functional activities, homogeneity and protection from biological and chemical destructions. Following up this approach in the field of biomedicine is considered to be of special importance as it can easily overcome the issues related to biocompatibility, bioavailability, toxicity profile and the therapeutic side effects. Lipid based delivery systems have evolved as a newer approach in the field of drug delivery. Advancement, development and design modification of the lipid based drug delivery systems have given rise to the development of hybrid structures containing both inorganic and organic parts called cerasomes. Cerasomes are basically the modified form of liposomes that are found to overcome limitations related to lipid nanoparticles. However, these cerasomes are also found to be effective in the treatment of diabetes mellitus that is considered to be a metabolic disorder affecting a huge population worldwide since the last few decades. Development of cerasomes for the treatment of diabetes have provided a new window to the researchers to overcome different problems connected to the present therapies. This article provides a thorough assessment of hybrid liposomal cerasome literature and how it can be effectively employed in the treatment of diabetes.

Objective: inhibition control is a process in which people actively overcome irrelevant factors and dominant reactions. Some Chinese college students have the problem of poor self-control. Physical exercise can effectively improve people's inhibition control function. Taijiquan originated in China and is popular in the world. It combines dynamic and static, has a degree of relaxation, combines with action, consciousness and breathing, focuses on action, actively controls and eliminates distractions, so as to achieve the effect of fitness and health. In view of the rare research on the inhibitory control effect and brain mechanism of Taijiquan, this study used near infrared brain imaging (fNIRS) technology to study the effect and mechanism of 20 week Taijiquan exercise intervention on inhibitory control of college students. This study hypothesized that Taijiquan can improve the inhibitory control function of college students, and the improvement benefit is related to the neural activation of prefrontal cortex.
Methods: 60 college students, aged 21.02 ± 2.11, were selected as experimental subjects, 30 in Taijiquan intervention group and 30 in control group. Independent variable 1 is the experimental conditions, including intervention group and control group; Independent variable 2 is the test order, including pre-test and post test. Dependent variables were Stroop task response time and fNIRS oxygenated hemoglobin changes with consistent and inconsistent conditions. The intervention group exercised intensively three times a week for 15 weeks, 45 minutes each time. The control group did not change according to the original lifestyle. Test the subject Stroop effect. When the subject reacts to the color of Chinese characters but ignores the meaning of Chinese characters, the consistency condition is that the color of Chinese characters is consistent with the meaning, and the inconsistency condition is that the color of Chinese characters is inconsistent with the meaning. Under inconsistent conditions, the judgment speed of subjects decreased and the error rate increased. Fnris technology used nirport system to monitor the changes of prefrontal oxygenated hemoglobin during Stroop task test. FNIRS data analysis: considering the noise caused by head movement and breathing, exclude the components with frequency > 0.1Hz and frequency < 0.01Hz, record the changes of oxygenated hemoglobin when the subjects perform consistent and inconsistent tasks, analyze the oxygenated hemoglobin signal by SPSS statistics, and compare the oxygenated hemoglobin with the original by paired t-test β The significant difference channels were screened out by data analysis.
Results: in Stroop consistent task, the concentration of oxygenated hemoglobin in nine channels in Taijiquan intervention group was significantly higher than that in control group, and there was significant difference between pre-test and post-test, t = 3.28, P = 0.037; The pre-test reaction time was 673.41 ± 168.09, which was greater than the post test reaction time 659.34 ± 151.06; There was no significant difference between pre-test and post test in the control group, t = 1.048, P = 0.339. In Stroop inconsistent task, the concentration of CH4 oxygenated hemoglobin in the intervention group increased, t = 3.509, P = 0.004, corresponding to the left dorsolateral prefrontal lobe. There was significant difference between pre-test and post-test in the intervention group, t = 3.78, P = 0.032; The pre-test reaction time was 814.68 ± 167.09, which was greater than the post test reaction time 768.32 ± 118.72; There was no significant difference between pre-test and post test in the control group, t = 0.906, P = 0.513.
Conclusion: the Stroop task behavior of college students has been significantly improved after 15 weeks of Taijiquan exercise, which has significantly enhanced the neural activation level of five brain regions under different conditions. The research results provide new thinking and scientific basis for Taijiquan to improve the inhibitory control function of college students.

Fitness clubs have emerged and become popular in response to Taiwanese health needs. Improving service quality and increasing customer loyalty to enhance competitive advantage in the market is a major topic for fitness industry owners. The purpose of this research is to verify the relationship between service quality and customer loyalty in the Taichung fitness club. This study adopted a questionnaire survey method. The questionnaire was developed based on previous studies. Respondents were selected by convenient sampling within large-scale chain fitness clubs, small gyms, and national sports centres. This study used online questionnaires and hard-copy questionnaires to collect data, and a total of ninety-four valid questionnaires were obtained. The collected data is analyzed by descriptive statistics, correlation analysis, and partial least square structural equation modelling. This study found that the service quality of tangibility, reliability, responsiveness, certainty, empathy are all significantly positively correlated with customer loyalty; responsiveness and empathy service significantly influence customer loyalty. The conclusions of this study indicate that although service quality has a positive correlation with customer loyalty, responsiveness and empathy are important factors to improve customer loyalty in fitness clubs.