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The purpose of this paper is to present Zeuss, a software-based tool designed to improve grammar learning process in elementary school children. Despite efforts by the Colombian Government, the results of the final high school test indicate that students have major deficiencies with language, grammar and reading comprehension. Several difficulties have been evidenced in activities like writing essays or understanding academic papers. Among the reasons that may lead to these results include outdated courses, overcrowded classrooms and lack of interest.

A diagnostic test is performed on third-grade elementary school students to assess the current grammar knowledge and identify areas for improvement. The test results are used to design a software-based tool called Zeuss. The authors include playful activities inspired by several pedagogic exercises found in the literature and personalization so that interaction is tailored to specific user preferences and tastes.

Zeuss has been tested with third-grade students of the Gimnasio Campestre San Francisco de Sales elementary school in Bogotá, Colombia. The results show that using the tool leads to an overall improvement in the grammar construction learning process.

Zeuss aims at improving the learning process in elementary schools helping teachers to overcome several limitations like overcrowded classrooms and outdated pedagogic strategies. Zeuss focuses specifically on the grammar learning process.

Zeuss features updated pedagogical strategies, playful activities and a personalization model to tailor the learning process and help in context. It also allows teachers to track individual and classroom progress.

Tremendous measure of data lakes with the exponential mounting rate is produced by the present healthcare sector. The information from differing sources like electronic wellbeing record, clinical information, streaming information from sensors, biomedical image data, biomedical signal information, lab data, and so on brand it substantial as well as mind-boggling as far as changing information positions, which have stressed the abilities of prevailing regular database frameworks in terms of scalability, storage of unstructured data, concurrency, and cost. Big data solutions step in the picture by harnessing these colossal, assorted, and multipart data indexes to accomplish progressively important and learned patterns. The reconciliation of multimodal information seeking after removing the relationship among the unstructured information types is a hotly debated issue these days. Big data energizes in triumphing the bits of knowledge from these immense expanses of information. Big data is a term which is required to take care of the issues of volume, velocity, and variety generally seated in the medicinal services data. This work plans to exhibit a survey of the writing of big data arrangements in the medicinal services part, the potential changes, challenges, and accessible stages and philosophies to execute enormous information investigation in the healthcare sector. The work categories the big healthcare data (BHD) applications in five broad categories, followed by a prolific review of each sphere, and also offers some practical available real-life applications of BHD solutions.

This paper examines the impact of the assassination of Mexico’s leading presidential candidate on Mexican Brady bonds and its spillover effects to other emerging financial markets. On the day of the assassination, Mexican Brady bonds declined by a significant 0.97 percent and continued to experience significant declines over the following three trading sessions. However, with the naming of Ernesto Zedillo as the ruling party’s presidential candidate, Mexican Brady bonds recovered over 75 percent of the losses incurred during the previous four trading days. The assassination did not significantly affect other emerging financial markets. The availability of a $6 billion swap facility, holding of large foreign reserves, selection of Ernesto Zedillo, and well managed responses by the Mexican government all served to attenuate spillover effects from the Mexican political crisis.

This chapter examines the potential and barriers for evidence-based practices in Californian schools. In a large and complex school system, the state plays an important role in legitimating the use of certain types of evidence, but evidence-based practices are heavily determined by the resources, actors, and prevailing cultures in a local district environment. Until recently, high-stakes accountability policies mandated improvements in student test performance and intrusive interventions for failure. In recent years, the state has shifted to a different accountability approach that emphasizes local control and the use of multiple measures of school performance to pursue continuous improvement around locally developed goals and interventions. Amid this context, two stories arise about evidence-based practices in California. In one story, a set of major and highly touted districts have led the way in demonstrating evidence-informed continuous improvement district-wide. In these districts, the new state accountability approach, enabling leadership, long-term commitments to collective learning, networked opportunities to learn, and access to elite external expertise have contributed to fairly extensive practices of disciplined team problem-solving involving rich data. In a second story, schools and districts that face resource scarcity, high turnover, and conflict and in which past high-stakes accountability left a deep imprint on prevailing norms and routines, leaders and teachers have had difficulty establishing a conducive context for collective learning. However, given ingrained practices and limited absorptive capacity, it is not entirely clear how to enable productive evidence-based practices in such contexts.

This chapter provided systematic and comprehensive analysis on trawl fisheries management and conservation measures in the Straits of Malacca. Detailed analysis is conducted on Malaysian fishery management framework particularly domestic country's trawl fishery status, legal structure, input-control strategies, ecosystem protection plan, pollution, law enforcement, and complementary measures that designed to reduce and prevent overfishing in the exclusive economic zone (EEZ) of Malacca Straits. Gaps and challenges found in existing trawl fisheries literature are presented followed by recommendations for improvement in the management and conservation of trawl fisheries.

Purpose – The purpose of this study is to share empirical research with educators and researchers to show how the gradual release of responsibility (GRR) model can support bilingual teachers’ implementation of dialogic reading comprehension instruction in student-led small groups and linguistically responsive literacy instruction with emergent bilingual students (Spanish–English) in grades one through four.

Design/Methodology/Approach – The authors provide brief literature reviews on the literacy instruction that bilingual students in low-resourced schools typically receive, on dialogic reading comprehension instruction, and on linguistically responsive literacy instruction. Then, the authors show how teacher educators utilized the GRR framework and process to support bilingual teachers’ movement from whole-class, teacher-directed instruction to dialogic reading comprehension instruction in student-led small groups. Next, the authors illustrate how a third-grade dual-language teacher employed the GRR to teach her students how to use Spanish–English cognates. Lastly, the authors share three vignettes from a first-grade bilingual teacher’s use of the GRR to facilitate her students’ comprehension of teacher read-alouds of narrative and informational texts and English writing.

Findings – When the teacher educators employed the GRR model in combination with socio-constructivist professional staff development, the teachers revealed their concerns about small-group instruction. The teacher educators adjusted their instruction and support to address the teachers’ concerns, helping them to implement small-group instruction. The third-grade bilingual teacher employed the GRR to teach her students how to use a translanguaging strategy, cognates, when writing, spelling, and reading. The first-grade bilingual teacher’s use of the GRR during teacher read-alouds in Spanish and English provided space for her and her students’ translanguaging, and facilitated the students’ comprehension of narrative and informational texts and completion of an English writing assignment.

Research Limitations/Implications – The findings were brief vignettes of effective instruction in bilingual settings that employed the GRR model. Although the authors discussed the limitations of scripted instruction, they did not test it. Additional research needs to investigate how other teacher educators and teachers use the GRR model to develop and implement instructional innovations that tap into the unique language practices of bilingual students.

Practical Implications – The empirical examples should help other teacher educators and bilingual teachers to implement the GRR model to support the improved literacy instruction of bilingual students in grades one through four. The chapter defines linguistically responsive instruction, and shows how translanguaging can be used by bilingual teachers and students to improve the students’ literacy performance.

Originality/Value of Chapter – This chapter provides significant research-based examples of the use of the GRR model with bilingual teachers and students at the elementary level. It shows how employment of the model can provide bilingual teachers and students with the support needed to implement instructional literacy innovations and linguistically responsive instruction.

Daylight plays a crucial role in the attainment of building energy savings. Harnessing daylight in building designs will require the need for daylight illuminance data. However, daylight illuminance data are scarce due to few measuring stations. Aside from being sparse, illuminance measuring stations can be expensive to set up, thus making the luminous efficacy model a better alternative. Hence, this study attempted to model horizontal luminous efficacies under the 15 Commission internationale de l'éclairage (CIE) standard skies. Therefrom, daylight illuminance was estimated from a proposed vertical luminous efficacy model.

Measured solar irradiance, daylight illuminance and luminance distribution data were gathered from the local measuring station in Hong Kong. The luminance distribution data were used to classify the skies into the 15 CIE standard skies. Next, the solar irradiance and daylight data were used to derive the horizontal luminous efficacies under each standard sky. Furthermore, a vertical luminous efficacy model developed using the measured data was described, and this was used to predict vertical illuminance.

It was observed that Skies 1, 8 and 13 seem to be predominant in Hong Kong. Also, the result showed that constant luminous efficacies could be used for deriving illuminance data. Furthermore, horizontal luminous efficacy ranged from 40 to 190lm/W, indicating that daylight can provide sufficient visibility during working hours. The vertical luminous efficacy model proves to offer reasonable estimations of vertical illuminance data.

Further work needs to be done with more measured data to cover for spring seasons. The described model still needs to be fitted with different world climates to ascertain its universal applicability. The evaluations need to be done under obstructed sky conditions to cater for dense and clustered urban centres.

The discussed luminous efficacy model could be used to derive illuminance data in the absence of measured daylight illuminance data, especially in the subtropical region. Also, the comparative advantage of daylight over artificial lighting was highlighted in this study.

Unlike previous studies, this paper discusses the luminous efficacies of global, direct and diffuse components under the 15 CIE standard skies. Furthermore, the described luminous efficacy analysis provides an approach for deriving vertical and horizontal illuminance data. Such vertical data will be required for analysing building lighting requirements, sensible heat from electric lighting, and energy savings from daylighting controls. Also, the information on horizontal luminous efficacies will help evaluate solar roof and skylight designs.

The objective of this study focuses on the characterization of the Latin American entrepreneurial profile from a psychological perspective. In order to do this, a journey through time was carried out in the study of the entrepreneurial subject, from the great classics to the contemporary era, the era of knowledge, innovation, technology, and revolution. In the Latin American context, the role of the entrepreneur is limited due to vulnerable institutions, corruption, populism, and socioeconomic inequity. However, the new information and communication technologies constitute an ideal route for growth in the region. The fundamental element is the psychological profile of the entrepreneur, which is made up of a set of personal characteristics, among which innovation, achievement motivation, self-efficacy, moderate propensity for risk, creativity, perseverance, proactivity, flexibility, locus of control stand out, internal, adaptability, responsibility, ability to recognize opportunities, autonomy, commitment, handling problems and managerial skills. Finally, case studies from countries such as Mexico, Peru, and Chile are presented. It is a documentary study which reflects that Latin American entrepreneurs share the same psychological attributes as those who live in developed countries. However, obstacles arising from the lack of environment and public policies are imposed on entrepreneurial activity. The culture of a country and the formative role of education can become limiting or enhancing factors; therefore, it is necessary to bet on beliefs and convictions attached to innovation, which strengthen the psychological attributes of the entrepreneurial spirit.