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The development of base metal electrodes that can act as active and stable oxygen generating electrodes in water electrolysis systems, especially at low pH levels, remains a challenge. The use of suspensions as electrolytes for water splitting has until recently been limited to photoelectrocatalytic approaches. A high current density (j=30 mA/cm2) for water electrolysis has been achieved at a very low oxygen evolution reaction (OER) potential (E=1.36 V vs. RHE) using a SnO2/H2SO4 suspension-based electrolyte in combination with a steel anode. More importantly, the high charge-to-oxygen conversion rate (Faraday efficiency of 88% for OER at j=10 mA/cm2 current density). Since cyclic voltammetry (CV) experiments show that oxygen evolution starts at a low, but not exceptionally low, potential, the reason for the low potential in chronoamperometry (CP) tests is an increase in the active electrode area, which has been confirmed by various experiments. For the first time, the addition of a relatively small amount of solids to a clear electrolyte has been shown to significantly reduce the overpotential of the OER in water electrolysis down to the 100 mV region, resulting in a remarkable reduction in anode wear while maintaining a high current density.
Background: Multilingual children with suspected SLCN are often overlooked or their needs not accurately differentiated regarding the necessity of language support or therapy. The purpose of the study was to conceptualize, carry out and evaluate a local language support (LS) project within linguistically and culturally diverse (LCD) families and its effects on all collaborating participants.
Methods: Eight SLT students and one lecturer took part in the LS-project, alongside equivalent numbers of family liaison personnel. Students visited more than 10 young children aged between 2-6 years, and for each child 10 weekly home visits were carried out. Language enhancement was documented, several case studies with children and interviews with five liaison personnel conducted.
Results: All SLT students perceived changes in the behaviour and communication of participating children. Children in the case studies developed from pre-verbal to verbal means of communication and family liaison personnel reported positive changes alongside parental wishes to continue the support.
Conclusion: Local language support projects with LCD families can lead to positive differences regarding their children's communication development and better inclusion in mainstream society. SLT students benefit from working with LCD families and their collaborative support together with family liaison personnel, and vice versa.
Learning Outcomes: To differentiate the influence of language enhancement vs. formalized SLT therapy. To enhance the relationship with LCD clientele and collaboration with liaison personnel in SLCN settings. To incorporate life-long learning and intercultural sensitization.
The aim of this European interprofessional Health Informatics (HI) Summer School was (i) to make advanced healthcare students familiar with what HI can offer in terms of knowledge development for patient care and (ii) to give them an idea about the underlying technical and legal mechanisms. According to the students’ evaluation, interprofessional education was very well received, problem-based learning focussing on cases was rated positively and the learning goals were met. However, it was criticised that the online material provided was rather detailed and comprehensive and could have been a bit overcharging for beginners. These drawbacks were obviously compensated by the positive experience of working in international and interprofessional groups and a generally welcoming environment.
Background
The current development of sensor technologies towards ever more cost-effective and powerful systems is steadily increasing the application of low-cost sensors in different horticultural sectors. In plant in vitro culture, as a fundamental technique for plant breeding and plant propagation, the majority of evaluation methods to describe the performance of these cultures are based on destructive approaches, limiting data to unique endpoint measurements. Therefore, a non-destructive phenotyping system capable of automated, continuous and objective quantification of in vitro plant traits is desirable.
Results
An automated low-cost multi-sensor system acquiring phenotypic data of plant in vitro cultures was developed and evaluated. Unique hardware and software components were selected to construct a xyz-scanning system with an adequate accuracy for consistent data acquisition. Relevant plant growth predictors, such as projected area of explants and average canopy height were determined employing multi-sensory imaging and various developmental processes could be monitored and documented. The validation of the RGB image segmentation pipeline using a random forest classifier revealed very strong correlation with manual pixel annotation. Depth imaging by a laser distance sensor of plant in vitro cultures enabled the description of the dynamic behavior of the average canopy height, the maximum plant height, but also the culture media height and volume. Projected plant area in depth data by RANSAC (random sample consensus) segmentation approach well matched the projected plant area by RGB image processing pipeline. In addition, a successful proof of concept for in situ spectral fluorescence monitoring was achieved and challenges of thermal imaging were documented. Potential use cases for the digital quantification of key performance parameters in research and commercial application are discussed.
Conclusion
The technical realization of “Phenomenon” allows phenotyping of plant in vitro cultures under highly challenging conditions and enables multi-sensory monitoring through closed vessels, ensuring the aseptic status of the cultures. Automated sensor application in plant tissue culture promises great potential for a non-destructive growth analysis enhancing commercial propagation as well as enabling research with novel digital parameters recorded over time.
HRM processes are increasingly AI-driven, and HRM supports the general digital transformation of companies’ viable competitiveness. This paper points out possible positive and negative effects on HRM, workplaces, and workersorganizations along the HR processes and its potential for competitive advantage in regard to managerial decisions on AI implementation regarding augmentation and automation of work.
A systematic literature review that includes 62 international journals across different disciplines and contains top-tier academic and German practitioner journals was conducted. The literature analysis applies the resource-based view (RBV) as a lens through which to explore AI-driven HRM as a potential source of organizational capabilities.
The analysis shows four ambiguities for AI-driven HRM that might support sustainable company development or might prevent AI application: job design, transparency, performance and data ambiguity. A limited scholarly discussion with very few empirical studies can be stated. To date, research has mainly focused on HRM in general, recruiting, and HR analytics in particular.
The four ambiguities’ context-specific potential for capability building in firms is indicated, and research avenues are developed.
This paper critically explores AI-driven HRM and structures context-specific potential for capability building along four ambiguities that must be addressed by HRM to strategically contribute to an organization’s competitive advantage.
The expiry of national subsidies for biogas in Germany means that new business models are needed. Furthermore, hydrogen is expected to make a significant contribution to the energy transition in the future. Therefore, potentials for the production of hydrogen from biogas are identified in this study. A joint upgrading infrastructure is developed that models the collaborative upgrading of biogas to hydrogen for existing biogas plants with subsequent gas grid injection. Furthermore, regions are identified that are particularly suitable as pioneer regions in Germany due to a high potential for green hydrogen production and comparatively low costs for hydrogen production. The modeling shows that collaborative upgrading achieves significant cost savings compared to single-farm upgrading. Furthermore, the potential for hydrogen production from biogas and the costs of upgrading differ significantly within the administrative districts in Germany.
The increasing diversity of cultural backgrounds offers potential for a more elaborated information processing, yet has been shown to be challenging for individuals, due to intergroup hostility, prejudices, and difficulties of intercultural communication. Current research thus focusses on the interaction of employees with different cultural heritages, as well as on their intergroup attitudes and competences. Thereby, leaders have been shown to shape the way diversity is considered in their teams in a top-down process. However, their perception of diversity as well as related challenges and chances are poorly investigated. The current paper thus aims to contribute to the understanding of leader’s perspective on and role in diversity-management by building on a comparative qualitative study with sixteen employees and twenty-two leaders. Research questions are how employees and leaders perceive cultural diversity from their specific point of view, which experiences are likely to contribute to their opinion on and perception of diversity and in how far do employees and leaders differ in these aspects. The results show that employees are aware of the topic of diversity in general but have poor competences in dealing with diversity in their daily working life. This seems to be associated with lack of experience with intercultural interaction and a lack of support from the respective organizations/leaders. Leaders are rarely aware of this lack of support. The results indicate that leaders’ experiences with cultural and age diversity, their identification with the company and previous diversity measures in the context of the companies’ policy towards diversity seem to be relevant for the formation of leaders’ attitudes. As a consequence, most participants focus on the question whether they do or do not want diversity within their teams and companies, while they actually fail to perceive the diversity that is already there.
Background
Spinach is a nitrogen (N) demanding crop with a weekly N uptake of up to 60 kg ha–1. Consequently, a high N supply is required, which can temporarily lead to high quantities of nitrate (NO3–) being at risk of leaching.
Aims
The objective of this study was to develop a N fertilization approach to reduce the risk of NO3– leaching in field-grown spinach production without adversely affecting crop yield and quality at an early and late harvest stage.
Methods
Ten fertilization trials were conducted to compare different base fertilization rates and splits of top dressings. For top dressings, granulated fertilizers or foliar sprays were used. In a further treatment, N supply was reduced by withholding the second top dressing of 50–70 kg ha−1.
Results
Nitrate concentration at risk of leaching was considerably reduced by decreasing the base fertilizer rate as well as by splitting the top dressing. However, at an early harvest stage, total aboveground dry mass was reduced by, on average, 6% by these measures across all seasons. In contrast, at a later harvest stage, spinach was less affected by the fertilizer schedule. Urea foliar sprays proved to be insufficient in promoting plant growth and caused leaf necrosis. A reduced N supply led to impaired plant growth and yellowish leaves in both spring and winter.
Conclusions
Base N fertilization of spinach is only required in spring, but not in other seasons. Despite slight yield reduction, the top dressing should be split to reduce the risk of NO3− leaching after an early harvest.
The Internet of Things (IoT) is the enabler for new innovations in several domains. It allows the connection of digital services with real, physical entities. These entities are devices of different categories and range in size from large machinery to tiny sensors. In the latter case, devices are typically characterized by limited resources in terms of computational power, available memory and sometimes limited power supply. As a consequence, the use of security algorithms requires expert knowledge in order for them to work within the limited resources. That means to find a suitable configuration for the algorithms to perform properly on the device. On the other side, there is the desire to protect valuable assets as strong as possible. Usually, security goals are captured in security policies, but they do not consider resource availability on the involved device and their consumption while executing security algorithms. This paper presents a resource aware information exchange model and a generation tool that uses high-level security policies as input. The model forms the conceptual basis for an automated security configuration recommendation system.