Accurate statistical analysis of Fortnite gameplay data is essential for improving gaming strategies and performance. In this study, we present a novel approach to analyze Fortnite statistics using machine learning techniques. Our dataset comprises a wide range of gameplay metrics, including eliminations, assists, revives, accuracy, hits, headshots, distance traveled, materials gathered, materials used, damage taken, damage to players, damage to structures, and more. We collected this dataset to gain insights into Fortnite player performance and strategies. The proposed model employs advanced (...) machine learning algorithms and data preprocessing techniques. We aim to identify key performance indicators and influential factors that contribute to Fortnite success. By exploring patterns and relationships within the dataset, our model can provide valuable insights into gameplay optimization. Our research involves feature analysis to determine the most influential factors in predicting Fortnite performance. These factors include eliminations, assists, revives, accuracy, hits, headshots, distance traveled, materials gathered, materials used, damage taken, damage to players, damage to structures, and more. By understanding the impact of these factors, we aim to help Fortnite players enhance their skills and strategies. Through extensive training and validation of our machine learning model, we achieved remarkable results, with an accuracy rate of [Your Accuracy Rate]% and an average error of [Your Average Error]. This research not only provides valuable insights into Fortnite gameplay but also offers a foundation for future research in the field of esports analytics and performance optimization. (shrink)

In many areas, technology has facilitated many things, diagnosing diseases, regulating traffic and teaching students in schools rely on Intelligent systems to name a few. At present, traditional classroom-based education is no longer the most appropriate in schools. From here, the idea of intelligent e-learning for students to increase their culture and keep them updated in life began. E-learning has become an ideal solution, relying on artificial intelligence, which has a footprint in this through the development of systems based on (...) education without a teacher taking into account the individual differences of students. This study describes intelligent tutoring system for teaching the Data Manipulation Language (DML) Commands Using SQLite to non IT students to overcome the difficulties they face. The System was built as education system by using the researcher own authoring tool that based on mobile and web App. The basic idea of this system is a systematic introduction into the concept of Database and its DML query. The system presents the topic of DML Commands, help student to execute what they are learn from the system content using the practical part of the system and administers automatically adapted at run time to the student’s individual growth. The system was assessed by a group of teachers and students and the outcome showed as 91% from the database specialists, 94% from Diploma students group and 89% from the secondary school students group. (shrink)

As a type of evidence glass can be very useful contact trace material in a wide range of offences including burglaries and robberies, hit-and-run accidents, murders, assaults, ram-raids, criminal damage and thefts of and from motor vehicles. All of that offer the potential for glass fragments to be transferred from anything made of glass which breaks, to whoever or whatever was responsible. Variation in manufacture of glass allows considerable discrimination even with tiny fragments. In this study, we worked glass classification (...) and testing of artificial neural network model created by the JustNN. The aim of the study is help investigator in identifying the type of glass found in arena of the crime. The Neural Network model was trained and validated using the type of glass dataset. The accuracy of model in predicting the type of glass reached 96.7%. Thus neural network is suitable for predicating type of glasses. (shrink)

The study determined the influence of innate mathematical characteristics on the number sense competencies of junior high school students in a Philippine public school. The descriptive-correlational research design was used to accomplish the study involving a nonrandom sample of sixty 7th-grade students attending synchronous math sessions. Data obtained from the math-specific Learning Style and Self-Efficacy questionnaires and the modified Number Sense Test (NST) were analyzed and interpreted using descriptive statistics, Pearson’s Chi-Square, and Simple Linear Regression analysis. The research instruments and (...) statistics were all validated and tested for reliability. The analysis revealed that the students are visual learners, had no or slight self-efficacy, and their number sense competency level is poor. They encountered difficulty in all the components and domains of the NST. Moreover, the students’ mathematical self-efficacy is significantly related and may influence their number sense competency level. Building upon the learners’ self-efficacy to further their understanding and skills in number sense is necessary. (shrink)

Tourism literature has shown there is a disagreement amongst academics conducting tourism research as to whether tourism is an academic community, academic study, and/or academic discipline. These three terms are used loosely and change in meaning depending upon the author, source, context, and discipline of the author(s). The following paper identifies tourism’s current position in academia using these three ideas of academic acceptance as tools to guide the discussion. Also guiding the discussion are ideas from tourism scholars and Kuhn’s ideas (...) of what constitutes a discipline. The discussion leads to a debate about “truths” in tourism research. Recommendations regarding the advancement of tourism in academia via theory construction in the academic field of tourism are presented. (shrink)

Parental involvement is one of the primary factors that affect children’s development and individuality. However, its effect on the academic motivation and self-concept of college students is not well understood, especially in the Philippines. The present study used the Ecological systems theory by Bronfenbrenner to investigate the effect of varying parental involvement on the academic motivation and self-concept of college students at Dr. Carlos S. Lanting College. Purposive sampling was used among 198 college students from Dr. Carlos S. Lanting College (...) who were identified using a purposive sampling technique. Statistical instruments including descriptive, correlation, and regression analysis were used to examine the data collected and investigate the link between the variables. Based on the regression analysis, it was found that parental involvement only has a significant relationship with academic motivation and not with self-concept. In conclusion, college students have a sense of independence and their self-concept is not affected by parental involvement; nonetheless, parents providing essential support influence their academic motivation. -/- . (shrink)

New Muslim movements in South India, such as the Solidarity Youth movement, re-formulated Muslim priorities towards human rights, democracy, development, environmental activism, and minorities. I read Solidarity Youth Movement as proposing an ethic of Islam’s conception of justice, while also drawing inspiration from the influential Islamist Abul A’la Maududi. Focusing on jurisprudential debates, I look at the ways in which Maududi’s intervention informs the praxis of Solidarity Youth Movement. This paper seeks the possibility of examining their activism as an instance (...) of juristic deliberation, linked to the revival of maqāṣid al-sharī’ah in the latter part of the twentieth century. I suggest a reading of their maqāṣid approach, born out of praxis in a Muslim minority context, as potentially informing the development of fiqh al-aqalliyah. (shrink)

Mindset plays a vital role in tackling the barriers to improving the preservice mathematics teachers’ (PMTs) conceptual understanding of problem-solving. As the COVID-19 pandemic has continued to pose a challenge, online learning has been adopted. This led this study to determining the PMTs’ mindset and level of conceptual understanding in problem-solving in an online learning environment utilising Google Classroom and the Khan Academy. A quantitative research design was employed specifically utilising a descriptive, comparative, and correlational design. Forty-five PMTs were chosen (...) through simple random sampling and willingly took part in this study. The data was gathered using validated and reliable questionnaires and problem-solving tests. The data gathered was analysed using descriptive statistics, analysis of variance, and simple linear regression. The results revealed that the college admission test, specifically numerical proficiency, influences a strong mindset and a higher level of conceptual understanding in problem-solving. Additionally, this study shows that mindset predicts the levels of conceptual understanding in problem-solving in an online environment where PMTs with a growth mindset have the potential to solve math problems. The use of Google Classroom and the Khan Academy to aid online instruction is useful in the preparation of PMTs as future mathematics teachers and problem-solvers. Further studies may be conducted to validate these reports and to address the limitations of this study. (shrink)

The Internet-of-Things (IoT) is gradually being established as the new computing paradigm, which is bound to change the ways of our everyday working and living. IoT emphasizes the interconnection of virtually all types of physical objects (e.g., cell phones, wearables, smart meters, sensors, coffee machines and more) towards enabling them to exchange data and services among themselves, while also interacting with humans as well. Few years following the introduction of the IoT concept, significant hype was generated as a result of (...) the proliferating number of IoT-enabled devices, which (according to many projections) are expected to amount to several billion in the next years. During recent years, this hype has been turning to reality, as a wave of IoT applications with significant social and economic has been emerging. Data analytics is the process of deriving knowledge from data, generating value like actionable insights from them. This article reviews work in the IoT and big data analytics from the perspective of their utility in creating efficient, effective and innovative applications and services for a wide spectrum of domains. We review the broad vision for the IoT as it is shaped in various communities, examine the application of data analytics across IoT domains, provide a categorization of analytic approaches and propose a layered taxonomy from IoT data to analytics. IoT data analysis is an integral element of any non- trivial IoT system. Nevertheless, IoT analytics are still in their infancy, as IoT data still remain largely unexploited. (shrink)

Many articles have emerged in relation to the recent revolutions and protest movements in the Arab world in general, including the Syrian revolution. However, Barout’s series of articles can be viewed as the first analytical, forward-looking, and indepth study of the progression of the events in Syria to date (November 2011). For this reason, and because these studies deal with significant issues for the Syrian people, a critical discussion of some of the most important ideas and facts in these studies (...) will be presented here. The criticism will seek to demonstrate the inherent legitimacy of these ideas, while simultaneously exploring the limitations of this same legitimacy. . (shrink)

Saba Mahmood’s anthropological work studies the gain in skills, agency and capacity building by the women’s dawa movement in Egypt. These women increase their virtue toward the goal of piety by following dominant, often patriarchal norms. Mahmood argues that “teleological feminism” ignores this gain in agency because this kind of feminism only focuses on opposition or resistance to these norms. In this paper I defend Mahmood’s “anti-teleological” feminist work from criticisms that her project valorizes oppression and has no vision for (...) a nonoppressive feminist future. I argue the future envisioned by teleological feminists gets caught in “the Hegelian” trap of replicating past oppression in their feminist future. I find in Mahmood’s work the tools to escape this trap. I argue, rather than a movement of overcoming oppression, Mahmood’s work suggests an immanent and creative movement that emphasizes difference for a truly new future. I turn to a Bergsonian metaphor and argue that this movement can be seen as akin to the movement of biological evolution. I conclude using the work of Eve Sedgwick that the Egyptian women that Mahmood studies are being read in a “paranoid” fashion and demonstrate using Leila Ahmed a better “reparative” reading of these women. (shrink)

In their account of theory change in logic, Aberdein and Read distinguish 'glorious' from 'inglorious' revolutions--only the former preserves all 'the key components of a theory' [1]. A widespread view, expressed in these terms, is that empirical science characteristically exhibits inglorious revolutions but that revolutions in mathematics are at most glorious [2]. Here are three possible responses: 0. Accept that empirical science and mathematics are methodologically discontinuous; 1. Argue that mathematics can exhibit inglorious revolutions; 2. Deny that inglorious revolutions are (...) characteristic of science. Where Aberdein and Read take option 1, option 2 is preferred by Mizrahi [3]. This paper seeks to resolve this disagreement through consideration of some putative mathematical revolutions. [1] Andrew Aberdein and Stephen Read, The philosophy of alternative logics, The Development of Modern Logic (Leila Haaparanta, ed.), Oxford University Press, Oxford, 2009, pp. 613-723. [2] Donald Gillies (ed.), Revolutions in Mathematics, Oxford University Press, Oxford, 1992. [3] Moti Mizrahi, Kuhn's incommensurability thesis: What's the argument?, Social Epistemology 29 (2015), no. 4, 361-378. (shrink)

This paper offers preliminary notes on Buddhism in modern Muslim exegesis with an emphasis on Tafsir al-Qasimi by Muhammad Jamal al-Din al-Qasimi (1866–1914) and al-Mizan fi Tafsir al-Qurʾan by Muhammad Husayn Tabatabaʾi (1892-1981). The research adopts a qualitative design using content analysis to collect the data. In this paper two main questions regarding both exegetes will be explored. The first question concerns the sources of both scholars for their information about Buddhism by including the discussion in their exegesis. The (...) second question concerns the methodology they used to discuss Buddhism in the Qurʾan since this has not been done by any classical exegetes nor among the most modern exegetes. Studies have found that the approach of the two exegetes is different from both the classical and modern exegetes because their work also contains resources from the fields of comparative religion and the history of religion to make their work relevant in the current context and reliable to be referred to by any parties. The author concludes that both al-Qasimi and Tabatabaʾi used analysis (taḥlil) in discussing verses related to the position of the Buddha. (shrink)

logiikka on lopullinen ja täydellinen logiikka. Sittemmin logiikka on kuitenkin kokenut melkoisen mullistuksen. Käsitykset siitä, mikä tässä muutoksessa oli olennaista ja milloin se todella tapahtui, vaihtelevat.