As a result of the restrictions caused by the pandemic, education has moved to another space. Online conditions largely override all the methods that can be applied in an offline. The online interface, as an educational platform, requires a different kind of competence. The extent to which heuristic, Socratic methods can be put into practice in online education depends primarily on the creativity of those working on the front lines. The aim of this study is to illustrate how fiction can be applied - in this case Emile Zola\'s novel The Ladies\' Delight - primarily in the teaching of commercial marketing - in order for students to be emotionally involved in the educational process and to be part of the experiential learning during a pandemic.

Background: This study aimed to evaluate the attitudes of medical faculty sophomore students towards communication skills training module consists theory courses and simulated patient interviews.\nMethods: This study was planned in before-and-after intervention study and was carried out with 257 second-year medical students. The Communication Skills Attitude Scale (CSAS) were used for data collection. The scale was administered to the participants before the training (1), after the training (2), and after the simulated patient interviews (3). \nResults: The mean age of the students was 20.13±2.13 years, and 133 (51.8%) of them were female. PAS 1 and PAS 3 scores were 55.38±6.58 and 58.05±7.39, respectively, while NAS 1 and 3 scores were 30.25±4.49 and 28.88±4.96, respectively. PAS 3 was considerably higher than PAS 1 and 2 scores (p=0.037), while NAS 3 was significantly lower than NAS 1 and 2 scores (p=0.005). There was no difference between the positive and negative attitudes of females and males before the training. However, after the training, female\'s positive scores significantly increased compared to men, and their negative scores decreased. Positive attitude scores of the female students increased after both the theory course and the simulated patient interviews. On the other hand, the negative attitude scores decreased significantly after the simulated patient interviews (p<0.05).\nConclusion: Communication skills training improves students\' attitudes. In this improvement, the contribution of simulated patient interviews is more than theory instructions.

STEM education benefits both individuals and society. It supports individuals by increasing their critical-thinking skills, encouraging creativity, as well as providing a basis for new inventions. The underrepresentation of women in STEM is a complex issue with various causes and different approaches of addressing it, where most likely gender differences are caused by desires and choice rather than abilities and performance. This paper explores differences in online and traditional STEM learning based on gender. It examines in detail recently identified patterns of women\'s success, their access to STEM online courses, and their overall course experience during such courses. We analysed results from a case study in which students were enrolled for one semester in two STEM online courses and completed questionnaires about their character traits and learning styles and how they relate to academic performance. Academic success was measured using two indicators, which characterize the success during traditional classes and online classes. \nThe main outcome of our research is that female students, which study in the field of STEM in particular Computer Science, are trustworthy and autonomous students who can outperform their male counterparts during traditional courses, where during online courses male students still exceed slightly female students. The trait of Consciousness is a success predictor regardless of gender and learning environment, while the trait of Neuroticism has negative impact in the traditional learning environment, Extraversion shows negative impact in online learning. Learning styles show gender differences, where female students prefer the style of read/write while male students favour kinaesthetic.

Objectives\nAlthough the Achilles tendon is the widest and strongest tendon of the body, it is very susceptible to laceration and rupture after trauma due to its superficial location. NSAID agents are preferred for preventing adhesions and providing post-operative analgesia, eliminating edema, shortening the healing process and preventing periarticular ossification. The effects of Ellagic acid and Diclofenac sodium on tendon healing were compared in this study. \nMethods\nWe used a total of 18 male New Zealand rabbits in 3 groups with 6 in each. The study was performed under general anesthesia created with a xylazine-ketamine combination. After a defect was created in the right Achilles tendon of all the rabbits, Group I was administered diclofenac sodium and Group II ellagic acid for 1 week while the control group was not administered anything and postoperative follow-up was provided. Euthanasia was performed in all subjects at the end of the 8th week and the tendons were compared in terms of macroscopic and histopathological features and tensile resistance. \nResults\nWhile there was no macroscopic difference between the groups and no statistically significant difference tensile resistance Newton values of Group I and Group II, these values were higher in the study groups than in the control group and the NSAI group showed a statistically significant difference. \nConlusion\nWe concluded that ellagic acid has an antiadhesive effect in addition to its anti-inflammatory effect and it can be used after tendon operations.

Financial Cryptography and Security Engineering are the major international environment for research, advanced development, education, exploration, and debate regarding information assurance, with a specific focus on commercial contexts. The paper covers all aspects of securing transactions and systems. The research works focusing on both fundamental and applied real-world deployments on all aspects surrounding commerce security are solicited. We may evaluate the risks that identity fraud, phishing and cybercrime pose for online financial services providers, and discuss how strong user authentication can alleviate these risks by increasing consumer confidence and protecting digital identities and resources. In essence, I identify several issues of financial cryptography and suitable technique to concentrate on them.

Information and Communication Technologies (ICT) and the Internet are essential for the economy and society at large. Its impact is so deep that no sector is outside its influence. Consequently, the implications for policy formulation are wide-ranging. Although traditional ICT policies tended to focus on the ICT sector, these policies have recently become more horizontal, dealing with issues ranging from business start-ups and productivity growth to public administration, employment, education, health, aging, the environment and development. ICT policies aim to promote the economic and social conditions conducive to development and growth (OECD, 2016). The objective of the work was to analyze the importance of the internet in the economic growth of the country, 1990-2015. An estimated multiple linear regression model was developed with the SAS statistical package. The estimated model of the Gross Domestic Product (GDP) showed that there is a direct relationship with users, that of Fixed Telephone Subscriptions (TelFijos), with the total population (Pob) and Foreign Direct Investment (FDI). It was concluded that economic growth is strongly affected by the exchange rate and population, the number of landline subscribers, the exchange rate and the number of Internet users.

Recently, the prevention of crime using CCTV is spotlighted in accordance with the higher crime incidence rate. So the need of developing surveillance systems like a CCTV with audio capability being able to giving an instant alarm is increasing. This paper proposes a design of scream detecting engine from various ambient noises in real environment for surveillance systems. . The proposed engine uses weighted sub band energy ratios (WSBERs) as feature vectors and a support vector machine (SVM) as a classifier. The experimental result shows the performance of our engine is very promising especially with noises of low SNRs in comparison with previous researches based on mel-frequency cepstral coefficients (MFCC) and gaussian mixture model (GMM) as a feature vector and a classifier respectively.