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The authors constructed an automatic essay scoring (AES) model in a discussion forum where the result was compared with scores given by human evaluators. This research proposes essay scoring, which is conducted through two parameters, semantic and keyword similarities, using a SentenceTransformers pre-trained model that can construct the highest vector embedding. Combining these models is used to optimize the model with increasing accuracy.

The development of the model in the study is divided into seven stages: (1) data collection, (2) pre-processing data, (3) selected pre-trained SentenceTransformers model, (4) semantic similarity (sentence pair), (5) keyword similarity, (6) calculate final score and (7) evaluating model.

The multilingual paraphrase-multilingual-MiniLM-L12-v2 and distilbert-base-multilingual-cased-v1 models got the highest scores from comparisons of 11 pre-trained multilingual models of SentenceTransformers with Indonesian data (Dhini and Girsang, 2023). Both multilingual models were adopted in this study. A combination of two parameters is obtained by comparing the response of the keyword extraction responses with the rubric keywords. Based on the experimental results, proposing a combination can increase the evaluation results by 0.2.

This study uses discussion forum data from the general biology course in online learning at the open university for the 2020.2 and 2021.2 semesters. Forum discussion ratings are still manual. In this survey, the authors created a model that automatically calculates the value of discussion forums, which are essays based on the lecturer's answers moreover rubrics.

The purpose of this paper is to examine conflicting institutional demands on individual frontline employees in hybrid public sector organisations. Specifically, it examines the competing accountability pressures professional and commercial logics exerted on academics at a business school, how individual lecturers responded to such pressures, and what drove these responses.

The paper draws on a case study of an English business school and is informed by the literatures on institutional logics and hybrid organisations.

The paper shows that the co-existence of professional and commercial logics at the case organisation exerted competing accountability pressures on lecturers. It moreover shows that sometimes deliberately and purposefully, sometimes ad hoc or even coincidentally, lecturers drew on a wide range of responses to these conflicting pressures, including compliance, defiance, combination and compartmentalisation.

The paper sheds light on individual level responses to competing institutional logics and associated accountability pressures, as well as on their drivers. It also highlights the drawbacks of user, customer or citizen accountability mechanisms, showing that a strong emphasis on them in knowledge-intensive public organisations can have severe dysfunctional effects.

Mucorales has been described to be widely distributed during the most recent COVID-19 pandemic, with a greater frequency of disease in India, particularly among those with immune deficiencies. This study aims to use computational tools to develop a vaccine.

The authors investigated at Mucorales proteins that had previously been associated to virulence factors. Recent research suggests that a vaccine based on high-level cytotoxic T lymphocyte (CTL), helper T lymphocyte (HTL) and B-cell lymphocyte (BCL) epitopes from diverse proteins might be developed. Furthermore, the vaccine assembly contains the targeted epitopes as well as PADRE peptides to induce an immune response. Computational approaches were used to analyze the immunological parameters used to build the suggested vaccine and validate its TLR-3 binding.

These studies show that the vaccination is capable of triggering a particular immune response. The authors offer a technique for developing and evaluating candidate vaccines using computational tools. To the best of their knowledge, this is the first immunoinformatic research of a prospective mucormycosis vaccine.

During this audit, a successful attempt was made to create a subunit MEV against black fungus. In the current study, MEV has been proposed as a suitable neutralizer candidate since it is immunogenic, secure, stable and interacts with human receptors. A stream study, on the other hand, is produced via a mixed vaccinosis approach. Following that, vaccinologists may perform more exploratory testing to evaluate whether the vaccine is effective.

Arrangements for regional economic integration, under the WTO system, have unexpectedly dominated globalization. In fact, countries that have realized economic arrangements, such as the EU 's monetary union, are further expanding their efforts to achieve political integration. Regional economic integration is now considered an exigency of national affairs. North East Asian countries are also affected by this global predicament, but the issue involves greater structural complexities in this region. The emergence of China has forced Japan and Korea to contemplate difficult structural adjustments. For example, while the Korean government recognizes the importance of stronger intra-regional economic cooperation, by pursuing these arrangements it simultaneously faces the dilemma of maintaining traditional partnerships, such as those with the USA and Japan. If Korea actively supports regional economic arrangements, this action would be perceived as a bias toward China, consequently damaging ties with the US. Thus, rather than depending on public initiatives to establish economic ties in North East Asia, China, Japan and Korea should rely on market friendly projects initiated by the private sector that endorse gradual integration through non-political activities and exchanges among the citizens of the respective countries. This paper first proposes the founding of a North East Asian United University Community composed of students, professors and campuses of the three countries in the initial stages. Secondly, it proposes the development of unique Asian commodities, a concept similar to that of 'Airbus. ' Finally, it proposes utilization of retired Japanese, Korean and Chinese engineers and technicians to speed up the overall level of technology, which is critical to overcoming backwardness in this region.

Past studies highlight a wide range of labour-related problems resulting in productivity loss in the construction industry of many developing countries. This study aims to quantify the impacts of labour-related factors on the productivity of construction operations in Sri Lankan building projects based on the viewpoint of engineers and construction managers for upgrading management/organisational policies and practices.

Qualitative and quantitative approaches were used to identify the critical factors. Further, a series of industry consultative discussions were conducted through problem-based communication approaches to analyse the actions required.

A total of 21 factors were determined as critical, where skills shortage, labourers’ thinking abilities, work experience, knowledge in construction works and discipline were leading in the list. The statistical tests and the experts’ discussion outcomes ensured the validity and reliability of the study findings.

The study outcomes will contribute to finding out better ways for directing labour in the industry practices and revising organisational policies towards achieving higher productivity levels in construction operations. Though the study findings are limited to the Sri Lankan context, some findings may be tested in other developing countries in similar scenarios.

The study findings show why the identified factors are critical, how those influence construction practices and what actions need to be considered for addressing the industry’s productivity-related challenges. These can play a key role in upgrading the construction management practices and organisational policies to the near-future stages.

This paper aims to understand what prevents established law firms from embracing digitalization and discusses barriers to solving the emerging ambidexterity problem. Law firms have been organized in the same way for decades. However, digital opportunities are emerging and new competitors are challenging established firms. This presents established law firms with an ambidexterity problem: How can law firms simultaneously uphold their successful way of working while entering a new world of digitalization, artificial intelligence (AI) and machine learning?

Previous research suggests that law firms are slow in digital transformation, compared to other Professional Service Firms (PSFs). In this paper, the authors explore why this happens. Interview data from representatives in law firms are complemented with data from architects as well as legal industry data and field notes. The data have been analyzed to spot patterns and emerging themes.

The authors find that established law firms face structural and cultural barriers to applying ambidextrous solutions. When comparing law firms with architecture firms, the authors see that while established architecture firms have combined digital exploration with ongoing exploitation, established law firms have focused on exploitation, leaving digital exploration to new legal tech firms. This difference can be attributed to industry context and professional culture.

This paper shows that both structural and contextual ambidexterity is a challenge for established law firms. This paper contributes to the understanding of barriers to embrace digital technology, and supports practitioners in efforts to remove these barriers.