Importance of Medication Reconciliation as a Strategy for Health Literacy

Health literacy depends on communication skills of health professionals. Assertiveness, clarity, and positivity (ACP) are a communication model/technique very useful to improve the patient-health professional relationship, adherence to treatment, health literacy, and quality of life. This model can be used in medication reconciliation (MR) – the identification of the most precise list of medication that a patient has been taking and should take, which requires a multidisciplinary participation and a better communication between health professionals and between them and the patient. When the guidance from healthcare professionals is clear and effective, patients and caregivers are more compliant to the recommended drug regimen, resulting in better health outcomes.

The Performance of Taper Helical Pile Embedded in Loose Sand Under Uplift Static and Cyclic Load Using 3D-Finite Element Analysis

Piles with helices are a kind of foundation that is capable of withstanding compression, tension, and lateral loads. However, for almost 25 years, this kind of Pile was widely used across the world. Its behaviour is unpredictable and terrifying, especially in Iraq. The present study analysed this kind of Pile using the finite element method. It was recommended that the helical pile geometry be modeled by numerical model technique and the computer program Plaxis 3D. The plaxis 3D software is a well-known geotechnical engineering tool that numerically analyses soil and simulates experimental work in terms of curve matching and outcomes. Furthermore, an analysis of variables was conducted. The primary variable research investigates the influence of the number of helices and the tapered helix distance under static and cyclic load. The final finding is that the more helices in a pile, the smaller the displacement (or amplitude) in comparison to one helix under the effect of uplift static and cyclic load. As a result that the effect of helix number on soil behaviour is more than the effect of changing the distances between helix.

Expectations of student with disability living in off-campus student housing in Ghana: a Gap Model approach

PurposePrevious students' housing studies have neglected the need to study all-inclusive student housing and quality of services delivery among students with disability. This study explores the expectations in students' housing among university students living with disabilities (SWDs) in Ghana.Design/methodology/approachThe study adopted a mixed-methods approach, involving 423 SWD selected from five public and three private universities across Ghana. Grounded on the Gap Model, the study employed exploratory factor analysis to extract factors of service quality delivery and universal building design for SWD living in off-campus students' housing.FindingsThe study uncovered that, expectations of SWD regarding building design specifications hinges more on inbuilt universal design than external building environment designs. SWD are more interested in safety, health, managerial assurances and security. In all, five factors provided a huge gap in services quality delivered by off-campus students' housing.Practical implicationsThe Gap Model technique offers a framework that provides an insight for students' housing investors, managers, researchers and local authorities that provides an insight on the needs of SWD in student housing, thus making it possible to attain satisfactions amongst SWD.Originality/valueUnlike health-related studies that deals with expectations of all-inclusive buildings for persons with disability in hospitals, this study uniquely uncovered the expectations of services delivery and building design support to SWD in the Ghanaian context.

FORMATION AND MANAGEMENT OF REGIONAL AGRI-FOOD CLUSTERS IN DEVELOPING COUNTRIES: CASE OF “AGROTRANSILVANIA” (ROMANIA)

Business clusters are considered to be more applicable in countries classified as developed. However, in modern times developing countries take risks of establishing business clusters and get the expected economic and social rewards. The work observes peculiarities of regional agri-food cluster formation and management in developing countries in the frames of the Romanian “AgroTransilvania” cluster. Based on the empirical analysis and the “CIPM” (“Cluster Initiative Performance Model”) technique, author conducts an expert assessment and finds out how the cluster’s members combine cooperation and competition in order to achieve outstanding results. The research paper encompasses practice-oriented models, including a diamond model for the Romanian agri-food market, a target board of the observed cluster, as well as a map of its members.

The Predictive Model of Oral Squamous Cell Survival Carcinoma: A Methodology of Validation

Background. Cancer is primarily caused by smoking, alcohol, betel quit, a series of genetic alterations, and epigenetic abnormalities in signaling pathways, which result in a variety of phenotypes that favor the development of OSCC. Oral squamous cell carcinoma (OSCC) is the most common type of oral cancer, accounting for 80–90% of all oral malignant neoplasms. Oral cancer is relatively common, and it is frequently curable when detected and treated early enough. The tumor-node-metastasis (TNM) staging system is used to determine patient prognosis; however, geographical inaccuracies frequently occur, affecting management. Objective. To determine the additional relationship between factors discovered by searching for sociodemographic and metastasis factors, as well as treatment outcomes, which could help improve the prediction of the survival rate in cancer patients. Material and Methods. A total of 56 patients were recruited from the ambulatory clinic at the Hospital Universiti Sains Malaysia (USM). In this retrospective study, advanced computational statistical modeling techniques were used to evaluate data descriptions of several variables such as treatment, age, and distant metastasis. The R-Studio software and syntax were used to implement and test the hazard ratio. The statistics for each sample were calculated using a combination model that included methods such as bootstrap and multiple linear regression (MLR). Results. The statistical strategy showed R demonstrates that regression modeling outperforms an R-squared. It demonstrated that when data is partitioned into a training and testing dataset, the hybrid model technique performs better at predicting the outcome. The variable validation was determined using the well-established bootstrap-integrated MLR technique. In this case, three variables are considered: age, treatment, and distant metastases. It is important to note that three things affect the hazard ratio: age ( β 1 : -0.006423; p < 2 e − 16 ), treatment ( β 2 : -0.355389; p < 2 e − 16 ), and distant metastasis ( β 3 : -0.355389; p < 2 e − 16 ). There is a 0.003469102 MSE for the linear model in this scenario. Conclusion. In this study, a hybrid approach combining bootstrapping and multiple linear regression will be developed and extensively tested. The R syntax for this methodology was designed to ensure that the researcher completely understood the illustration. In this case, a hybrid model demonstrates how this critical conclusion enables us to better understand the utility and relative contribution of the hybrid method to the outcome. The statistical technique used in this study, R, demonstrates that regression modeling outperforms R-squared values of 0.9014 and 0.00882 for the predicted mean squared error, respectively. The conclusion of the study establishes the superiority of the hybrid model technique used in the study.

Predicting Student Dropout in Self-Paced MOOC Course Using Random Forest Model

A significant problem in Massive Open Online Courses (MOOCs) is the high rate of student dropout in these courses. An effective student dropout prediction model of MOOC courses can identify the factors responsible and provide insight on how to initiate interventions to increase student success in a MOOC. Different features and various approaches are available for the prediction of student dropout in MOOC courses. In this paper, the data derived from a self-paced math course, College Algebra and Problem Solving, offered on the MOOC platform Open edX partnering with Arizona State University (ASU) from 2016 to 2020 is considered. This paper presents a model to predict the dropout of students from a MOOC course given a set of features engineered from student daily learning progress. The Random Forest Model technique in Machine Learning (ML) is used in the prediction and is evaluated using validation metrics including accuracy, precision, recall, F1-score, Area Under the Curve (AUC), and Receiver Operating Characteristic (ROC) curve. The model developed can predict the dropout or continuation of students on any given day in the MOOC course with an accuracy of 87.5%, AUC of 94.5%, precision of 88%, recall of 87.5%, and F1-score of 87.5%, respectively. The contributing features and interactions were explained using Shapely values for the prediction of the model.

Online Footwear Sales

The purpose of the study is to investigate factors that determine consumers' online purchase intention of buying footwear. Footwear, being a high involvement product, is difficult to sell online as people try size to fit before buying, which is more than any other product category. As per the previous studies, the need for touch is the most prominent factor inhibiting customers to buy footwear online. However, with the increasing need for convenience, superior quality digital catalogs, increasing internet density, attractive offers, and interactive features of websites, the mindset of the people is changing, and they are ready to experiment. The structural equation model technique is used to test the hypothesis. As per the results, consumers perceive website attributes and convenience as driving factors in online shopping. Online consumers interact with e-commerce sites through interactive features provided on the websites. The study can help marketers understand consumer online buying behavior, particularly towards footwear.

Impact of Entrepreneurial Education, Mindset, and Creativity on Entrepreneurial Intention: Mediating Role of Entrepreneurial Self-Efficacy

This study aimed to investigate the direct influence of entrepreneurial education, entrepreneurial mindset, and creativity on the entrepreneurial intention with the indirect role of entrepreneurial self-efficacy. This study applied the structural equation model technique using AMOS software to verify the hypothesis relationships. This study collected self-administered survey data from 365 university students of Jiangsu and Zhejiang province of China. The findings indicated that entrepreneurial education, entrepreneurial mindset, and creativity have a positive and significant influence on entrepreneurial intention. Moreover, results revealed that entrepreneurial self-efficacy partially mediates in the relationship between entrepreneurial education, entrepreneurial mindset, and creativity on entrepreneurial intention. Further implications and limitations are also discussed in this article.

TEACHING WRITING RECOUNT TEXT BY USING SCRAPBOOK THROUGH PROJECT BASED LEARNING IN THE EIGHT GRADE OF SMP NEGERI 8 KEDIRI

This research was carried out to answer about the preparation, implementation, students’ response, and students’ writing in teaching writing recount text by using scrapbook through project-based learning since corona virus pandemic. The design was descriptive qualitative. The data collecting method were interview, observation, questionnaire and documentation. The result of this research showed that the preparation had been supported by the sets of equipment such as by syllabus, lesson plan, learning model, technique, material, media, and assessment. Then, the implementation was implemented in six steps. Then, the students’ responses showed in percentage 92%. It meant that the students gave the positive responses. While, the students’ written showed that all the students has completed 100% the writing task. All the students’ value above minimum criteria of mastery learning. From the result finding, it showed that teaching writing by using scrapbook through project-based learning was good to improve students’ writing ability.