English-Based Learning Needs for Specific Purposes: An Analysis

AbstractThis research aimed to analyze the learning needs of English for students. The research method was used descriptively. Data collection was carried out using an online questionnaire via Google Forms to students to identify the needs and expectations of students in learning English. The number of samples was 50 students with the sampling technique using simple random sampling. The data analysis technique used descriptive quantitative. The results of the research showed that students of the Faculty of Science and Technology need to learn English which focuses on improving the four language skills, namely speaking, writing, listening, and reading. Students also hope to learn more English vocabulary related to their major because it is useful for them in the learning process of the subjects in their major. AbstrakPenelitian bertujuan untuk menganalisis kebutuhan pembelajaran bahasa Inggris bagi mahasiswa. Metode penelitian yang digunakan adalah penelitian deskriptif. Pengumpulan data dilakukan menggunakan kuesioner online melalui Google Forms kepada mahasiswa untuk mengidentifikasi kebutuhan dan harapan mahasiswa dalam pembelajaran bahasa Inggris. Jumlah sampel sebanyak 50 siswa dengan teknik pengambilan sampel menggunakan simple random sampling. Teknik analisis data yang digunakan adalah deskriptif kuantitatif. Hasil penelitian menunjukkan bahwa mahasiswa Fakultas Sains dan Teknologi perlu mempelajari bahasa Inggris yang menitikberatkan pada peningkatan empat keterampilan berbahasa, yaitu berbicara, menulis, menyimak, dan membaca. Mahasiswa juga berharap untuk mempelajari lebih banyak kosakata bahasa Inggris yang berkaitan dengan jurusan karena berguna dalam proses pembelajaran mata kuliah di jurusan

Modelling Hydrodynamic Drag in Swimming using Computational Fluid Dynamics

In the sports field, numerical simulation techniques have been shown to provide useful information about performance and to play an important role as a complementary tool to physical experiments. Indeed, this methodology has produced significant improvements in equipment design and technique prescription in different sports (Kellar et al., 1999; Pallis et al., 2000; Dabnichki & Avital, 2006). In swimming, this methodology has been applied in order to better understand swimming performance. Thus, the numerical techniques have been addressed to study the propulsive forces generated by the propelling segments (Rouboa et al., 2006; Marinho et al., 2009a) and the hydrodynamic drag forces resisting forward motion (Silva et al., 2008; Marinho et al., 2009b). Although the swimmer’s performance is dependent on both drag and propulsive forces, within this chapter the focus is only on the analysis of the hydrodynamic drag. Therefore, this chapter covers topics in swimming drag simulation from a computational fluid dynamics (CFD) perspective. This perspective means emphasis on the fluid mechanics and CFD methodology applied in swimming research. One of the main aims for performance (velocity) enhancement of swimming is to minimize drag forces resisting forward motion, for a given trust. This chapter will concentrate on numerical simulation results, considering the scientific simulation point-of-view, for this practical implication in swimming. In the first part of the chapter, we introduce the issue, the main aims of the chapter and a brief explanation of the CFD methodology. Then, the contribution of different studies for swimming using CFD and some practical applications of this methodology are presented. During the chapter the authors will attempt to present the CFD data and to address some practical concerns to swimmers and coaches, comparing as well the numerical data with other experimental data available in the literature

Deterministic Dynamics and Chaos: Epistemology and Interdisciplinary Methodology

We analyze, from a theoretical viewpoint, the bidirectional interdisciplinary relation between mathematics and psychology, focused on the mathematical theory of deterministic dynamical systems, and in particular, on the theory of chaos. On one hand, there is the direct classic relation: the application of mathematics to psychology. On the other hand, we propose the converse relation which consists in the formulation of new abstract mathematical problems appearing from processes and structures under research of psychology. The bidirectional multidisciplinary relation from-to pure mathematics, largely holds with the "hard" sciences, typically physics and astronomy. But it is rather new, from the social and human sciences, towards pure mathematics

Demand Forecasting Tool For Inventory Control Smart Systems

With the availability of data and the increasing capabilities of data processing tools, many businesses are leveraging historical sales and demand data to implement smart inventory management systems. Demand forecasting is the process of estimating the consumption of products or services for future time periods. It plays an important role in the field of inventory control and Supply Chain, since it enables production and supply planning and therefore can reduce delivery times and optimize Supply Chain decisions. This paper presents an extensive literature review about demand forecasting methods for time-series data. Based on analysis results and findings, a new demand forecasting tool for inventory control is proposed. First, a forecasting pipeline is designed to allow selecting the most accurate demand forecasting method. The validation of the proposed solution is executed on Stock&Buy case study, a growing online retail platform. For this reason, two new methods are proposed: (1) a hybrid method, Comb-TSB, is proposed for intermittent and lumpy demand patterns. Comb- TSB automatically selects the most accurate model among a set of methods. (2) a clustering-based approach (ClustAvg) is proposed to forecast demand for new products which have very few or no sales history data. The evaluation process showed that the proposed tool achieves good forecasting accuracy by making the most appropriate choice while defining the forecasting method to apply for each product selection