271. |
272. Nodulation performance and agronomic traits of European common bean (Phaseolus vulgaris L.) genetic resourcesEva Plestenjak, Vladimir Meglič, Lovro Sinkovič, Matevž Likar, Marjana Regvar, Barbara Pipan, 2024, original scientific article Abstract: Field production of common beans benefit from root microbial associations, although they are generally considered to be weaker nitrogen fixers than other legumes. Therefore, the number of nodules on the roots of 64 accessions of the European common bean (Phaseolus vulgaris L.) and the relationship between the number of nodules per accession and other plant characteristics (growth type, earliness, seed yield, and total nitrogen content in seeds) were studied. The results indicated that growth type and earliness influenced the number of nodules per accession (the contributions of principal component analysis were 34.9% for Dim1 and 29.8% for Dim2). The average number of nodules per accession with indeterminate growth type was almost five times higher (20.1) than for accessions with determinate growth type (4.4). Common bean accessions with regular growth cycle length had the highest number of nodules (21.9). In contrast, nodulation efficiency, measured as seed yield per plant and total nitrogen content in seeds, were not correlated with the number of nodules per accession (correlation analysis, r < 0.1). Consequently, data on the nodulation efficiency of European common bean accessions are important for breeding programmes in conjunction with other agronomically important traits for commercial and/or organic cultivation systems.
Keywords: agronomic traits, common bean, nitrogen fixation, nodules, symbiotic efficiency
Published in DiRROS: 30.09.2024; Views: 141; Downloads: 34
 Full text (1,36 MB) |
273. Technological advancements and organizational discrimination : the dual impact of industry 5.0 on migrant workersErhan Aydin, Mushfiqur Rahman, Çağri Bulut, Roberto Biloslavo, 2024, original scientific article Abstract: This study explores the impact of Industry 5.0 on discriminatory behaviors toward migrant
employees within organizations. Through semi-structured qualitative interviews with 15 migrant
workers in the UK, this research identifies key challenges faced by migrant employees amidst the
integration of advanced technologies like AI and robotics in HRM systems. Thematic analysis reveals
that while Industry 5.0 has the potential to mitigate human biases, it can also perpetuate existing
prejudices if not managed effectively. This study highlights two main themes: the experiences of
discrimination and challenges in the context of Industry 5.0, and the role of technology in HRM
systems. The findings indicate that automated HR systems can both reduce and increase biases,
highlighting the importance of inclusive practices and targeted support programs to help migrant
workers adapt to a technologically advanced labor market. This research contributes to the literature
by providing insights into the duality of technological advancements in reducing and reinforcing
workplace discrimination.
Keywords: Industry 5.0, migrant workers, organizational discrimination, human resource management, technological advancements
Published in DiRROS: 30.09.2024; Views: 160; Downloads: 112
Full text (244,14 KB)
This document has many files! More... |
274. Unveiling the solution structure of a DNA duplex with continuous silver-modified Watson-Crick base pairsUroš Javornik, Antonio Pérez-Romero, Carmen López-Chamorro, Rachelle M. Smith, José A. Dobado, Oscar Palacios, Mrinal K. Bera, May Nyman, Janez Plavec, Miguel A. Galindo, 2024, original scientific article Published in DiRROS: 30.09.2024; Views: 163; Downloads: 623
Full text (2,90 MB)
This document has many files! More... |
275. Lessons from accelerating an RBF-FD phase-field model of dendritic growth on GPUsBoštjan Mavrič, Tadej Dobravec, Božidar Šarler, 2024, published scientific conference contribution Abstract: Phase-field modeling of dendritic growth presents the state of the art in the field of solidification modeling and are usually implemented using finite difference models combined with explicit time marching and accelerated by using GPUs. They are a prime candidate for such acceleration, since they require many arithmetic operations on relatively low ammount of data. We present an attempt at porting an existing RBF-FD code optimized for CPU execution to use GPU acceleration while keeping the resulting implementation portable between architectures. We discuss the acceleration achieved, scaling and implementation issues and critically discuss current landscape of GPGPU offerings.
Keywords: meshless methods, phase field, graphical processing unit
Published in DiRROS: 27.09.2024; Views: 174; Downloads: 96
Full text (738,75 KB)
This document has many files! More... |
276. |
277. |
278. |
279. |
280. |
