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Diploma Engineers (DE) mainly receive practical and skills-oriented education and training in the area of technical and vocational subjects from the polytechnic system. Globally, universities have limited DEs access to Higher Education (HE). Over the course of time, many countries have changed this situation, putting into place a decent qualification and policy framework that ensures higher education for deserving candidates. Lately, Technical and Vocational Education and Training (TVET) received special priority in developing countries, and Bangladesh is no exception to it, resulting in a massive growth of DE. This study, the first of its kind, examines the impact of this growth with a key focus on the inclusion of diploma engineers into higher education.

Given the differentiated nature of research questions, multiple techniques are used to collect the data. However, this research uses the qualitative method. Both secondary and primary data are used. While secondary data are collected by the Bangladesh Bureau of Educational Information and Statistics (BANBEIS), primary data are collected through interviews. With standard sets of admission questions, tests are conducted with two groups of students to draw a comparison.

The number of students studying at polytechnic institutes is increasing dramatically. The growth of public polytechnic institutes remains steady. Public counterparts respond to the demand by operating both day and night shifts. Many private polytechnics are also established. The size and infrastructure of private Polytechnics are relatively insignificant. However, the mushrooming private sector covers the increased demand. The curve of DE has been increased radically with a questionable competency by the contribution of both public and private polytechnics. Only one public university provides higher education to these DE.

A few reports have been published in the area of TVET by the development partners and the Government of Bangladesh. Only one journal article is published exploring the role of TVET on national development in Bangladesh. However, none cover the issue of access to university education for DE graduates.

This study examines whether students graduating from SSC-VOC perform better in diploma engineering programs.

This study uses quantitative and qualitative methods to examine how secondary school certificate-vocational (SSC-VOC) graduates perform in their subsequent vocational programs.

Despite having vocational training orientation, this study finds that graduates from SSC-VOC receive lower grades than their public counterparts by 0.109 cumulative grade points average (CGPA).

Findings imply that policymakers should increase teachers' numbers, salaries and laboratory facilities. In addition, collaboration between SSC-VOC institutions and polytechnics would allow them to offer a quality engineering education. In such a way, technical and vocational education and training (TVET) programs prepare human resources to promote economic development and employment, expand production opportunities and improve employment quality.

This is the first piece of work conducted in Bangladesh that has examined the quality of VET graduates for furthering their studies. This study added value by providing some pragmatic suggestions for practical implications.

The purpose of this paper is to use the internal model control to deal with nonlinear stable systems affected by parametric uncertainties.

The dynamics of a considered system are approximated by a Takagi-Sugeno fuzzy model. The parameters of the fuzzy rules premises are determined manually. However, the parameters of the fuzzy rules conclusions are updated using the descent gradient method under inequality constraints in order to ensure the stability of each local model. In fact, without making these constraints the training algorithm can procure one or several unstable local models even if the desired accuracy in the training step is achieved. The considered robust control approach is the internal model. It is synthesized based on the Takagi-Sugeno fuzzy model. Two control strategies are considered. The first one is based on the parallel distribution compensation principle. It consists in associating an internal model control for each local model. However, for the second strategy, the control law is computed based on the global Takagi-Sugeno fuzzy model.

According to the simulation results, the stability of all local models is obtained and the proposed fuzzy internal model control approaches ensure robustness against parametric uncertainties.

This paper introduces a method for the identification of fuzzy model parameters ensuring the stability of all local models. Using the resulting fuzzy model, two fuzzy internal model control designs are presented.

In the past few decades, sustainability in higher education has become ever more prevalent, although the diversity in pace of adoption and the wide range of interpretations and practices is huge. The purpose of this study is to present recent research on organizational change processes in universities.

The methodological approach applied corresponds to the social issue maturation framework, to identify, describe and assess patterns of change across higher education institutions. The maturation of sustainability in universities can be divided into four stages: emergence, popularization, formalization and maturity.

The findings indicate that sustainability processes often begin as ad hoc processes which grow and mature over time as a range of different actors join in. However, sustainability in universities is increasingly connected with sustainability in the private sector and with other public actors. Moreover, there is a growing acknowledgement of the interactions between society, industry and academia.

The value of the paper is to provide a critical assessment of the potential of living lab projects initiated in Belgium (Brussels) and Chile (Santiago de Chile) to anchor sustainability firmly both in the functioning of the university and in the interactions with the neighborhood. The authors reflect on the requirements and the implementation of these initiatives as a strong indication of mature sustainability integration in, and by way of, universities.

The pandemic caused by COVID-19 has brought us a serious economic, health and social problem worldwide crisis. In this context, there has been an increase in inequality between men and women throughout the world. In this situation of home confinement, uncertainty, stress and fear, women have been the most affected, regardless of their education level. The purpose of this study is to know the impact on the perception of academic women who suffered from a lack of gender equality (sustainable development) during the pandemic (SDG 5) and, therefore, the increase in the gender inequality gap (SDG 10) in Latin America (LA).

This qualitative, exploratory-descriptive study has a nonexperimental field and cross-sectional design that uses the field technique of focus groups.

This study revealed the deepest feelings of women researchers on this issue, leading to a deep reflection on the need to build the basis to transform unequal gender relations and introduce the gender perspective in a cross-sectional manner in a university context.

This study, analyzed from a gender perspective, aimed to unravel the complexity in which the majority of LA women academics live and to explain the gaps and differences in their lives caused by the inequalities that have increased due to the pandemic in Latin American societies.

La pandemia provocada por el COVID-19 nos ha traído una grave crisis económica, sanitaria y social a nivel mundial. En este contexto, se ha producido un aumento de la desigualdad entre hombres y mujeres en todo el mundo. En esta situación de confinamiento domiciliario, incertidumbre, estrés y miedo, las mujeres han sido las más afectadas, independientemente de su nivel educativo. Los mayores impactos en la percepción fueron la falta de equidad de género (ODS 5) y, por tanto, el aumento de la brecha de desigualdad de género (ODS 10) durante la pandemia en América Latina (AL).

Este estudio cualitativo, exploratorio-descriptivo, tiene un diseño no experimental de campo y transversal que utilizó la técnica de grupos focales.

Este estudio reveló los sentimientos más profundos de las mujeres investigadoras sobre este tema, lo que llevó a una profunda reflexión sobre la necesidad de construir las bases para transformar las relaciones desiguales de género e introducir la perspectiva de género de manera transversal en un contexto universitario.

Este estudio, analizado desde una perspectiva de género, tuvo como objetivo desentrañar la complejidad en la que vive la mayoría de las académicas latinoamericanas, y explicar las brechas y diferencias en sus vidas provocadas por las desigualdades que se han incrementado a causa de la pandemia en las sociedades latinoamericanas.

A pandemia causada pelo COVID-19 nos trouxe uma grave crise econômica, sanitária e social em todo o mundo. Nesse contexto, houve um aumento da desigualdade entre homens e mulheres em todo o mundo. Nesta situação de confinamento domiciliário, incerteza, stress e medo, as mulheres têm sido as mais afetadas, independentemente do seu nível de escolaridade. Os maiores impactos na percepção foram a falta de igualdade de gênero (ODS 5) e, portanto, o aumento da lacuna de desigualdade de gênero (ODS 10) durante a pandemia na América Latina (AL).

Trata-se de um estudo qualitativo, exploratório-descritivo, de campo não experimental e delineamento transversal que utilizou a técnica de grupo focal.

Este estudo revelou os sentimentos mais profundos de mulheres pesquisadoras sobre o tema, o que levou a uma profunda reflexão sobre a necessidade de construir as bases para transformar as relações desiguais de gênero e introduzir a perspectiva de gênero de forma transversal no contexto universitário.

Este estudo, analisado a partir de uma perspectiva de gênero, teve como objetivo desvendar a complexidade em que vive a maioria das acadêmicas latino-americanas e explicar as lacunas e diferenças em suas vidas causadas pelas desigualdades que aumentaram devido à pandemia nas sociedades latino-americanas.

Investigación

The purpose of this paper is to identifying, discussing and analyzing the existing education and training programs related to quality management system (QMS) in Spain.

Exhaustive search of the education system database was used to map the multifaceted of Spanish education system and professional training in addition to their relationships with the labor market. Thereafter, a thorough scan of the existing training related to management system standards was used to classify them into different subgroups as well as identifying possible education and the professional trainings related to QMS.

The overall results showed that general education in Spain and in particular related to QMS can be classified into four different groups including: official university, unofficial university, official non-university and unofficial non-university. Moreover, this study observed that the general concern about the employment and earnings in Spain has led the local, autonomous communities and national government to launch specific measures designed to both continue to increase the quality of the workforce with the QMS backgrounds and to ease the difficulties encountered when entering the labor market.

This study is the first to analyze and map the multifaceted character of Spanish education system and professional training related to QMS. The findings of this study may be useful for organizations trying to evaluate their QMS efforts, thus, engage their people in order to face the competitive challenges that lie ahead.

Examines the thirteenth published year of the ITCRR. Runs the whole gamut of textile innovation, research and testing, some of which investigates hitherto untouched aspects. Subjects discussed include cotton fabric processing, asbestos substitutes, textile adjuncts to cardiovascular surgery, wet textile processes, hand evaluation, nanotechnology, thermoplastic composites, robotic ironing, protective clothing (agricultural and industrial), ecological aspects of fibre properties – to name but a few! There would appear to be no limit to the future potential for textile applications.

The consolidation process and morphology evolution in ceramics-based additive manufacturing (AM) are still not well-understood. As a way to better understand the ceramic selective laser sintering (SLS), a dynamic three-dimensional computational model was developed to forecast thermal behavior of hydroxyapatite (HA) bioceramic.

AM has revolutionized automotive, biomedical and aerospace industries, among many others. AM provides design and geometric freedom, rapid product customization and manufacturing flexibility through its layer-by-layer technique. However, a very limited number of materials are printable because of rapid melting and solidification hysteresis. Melting-solidification dynamics in powder bed fusion are usually correlated with welding, often ignoring the intrinsic properties of the laser irradiation; unsurprisingly, the printable materials are mostly the well-known weldable materials.

The consolidation mechanism of HA was identified during its processing in a ceramic SLS device, then the effect of the laser energy density was studied to see how it affects the processing window. Premature sintering and sintering regimes were revealed and elaborated in detail. The full consolidation beyond sintering was also revealed along with its interaction to baseplate.

These findings provide important insight into the consolidation mechanism of HA ceramics, which will be the cornerstone for extending the range of materials in laser powder bed fusion of ceramics.

The purpose of this paper was exploring and comparing different deterioration models based on statistical and machine learning approaches. These models were chosen from their successful results in other case studies. The deterioration models were developing considering two scenarios: (i) only the age as covariate (Scenario 1); and (ii) the age together with other available sewer characteristics as covariates (Scenario 2). Both were evaluated to achieve two different management objectives related to the prediction of the critical condition of sewers: at the network and the sewer levels.

Six statistical and machine learning methods [logistic regression (LR), random forest (RF), multinomial logistic regression, ordinal logistic regression, linear discriminant analysis and support vector machine] were explored considering two kinds of predictor variables (independent variables in the model). The main propose of these models was predicting the structural condition at network and pipe level evaluated from deviation analysis and performance curve techniques. Further, the deterioration models were exploring for two case studies: the sewer systems of Bogota and Medellin. These case studies were considered because of both counts with their own assessment standards and low inspection rate.

The results indicate that LR models for both case studies show higher prediction capacity under Scenario 1 (considering only the age) for the management objective related to the network, such as annual budget plans; and RF shows the highest success percentage of sewers in critical condition (sewer level) considering Scenario 2 for both case studies.

There is not a deterioration method whose predictions are adaptable for achieving different management objectives; it is important to explore different approaches to find which one could support a sewer asset management objective for a specific case study.

The originality of this paper consists of there is not a paper in which the prediction of several statistical and machine learning-based deterioration models has been compared for case studies with different local assessment standard. The above to find which is adaptable for each one and which model is adaptable for each management objective.