bluuebunny/crossref_metadata_2025_split huggingface dataset:
Genome‑Wide Identification and Expression Analysis of SPX Domain-Containing Gene Subfamily in Response to Phosphorus-Solubilizing Bacteria in Apple (Malus domestica)
Authors: Kural Mehmet , Kiyak Ali , Uluisik Selman , Atay Ersin 
Published: February 2024

AbstractPhosphate is one of the major elements that significantly affects fruit yield and quality. The aim of the study was to determine whether using phosphorus-solubilizing bacteria could produce high-quality apple nursery trees. Five different treatments were tested on a “Granny Smith” apple cultivar that was grafted onto an M.9 rootstock. These were 100% P, 50% P, 50% P + Bacillus megatarum (plant growth promoting rhizobacteria, PGPR), 0%P, and 0%P + PGPR. The study also identified the SPX gene family, which is essential for plant growth and development and responds to phosphorus (P) stress. A total of 72 SPX genes were identified in different plant species based on structural and phylogenetic analysis. The apple genome contains seven different SPX genes distributed on five of the 17 chromosomes. Gene structure and motif analysis showed that SPX genes show a relatively conserved exon/intron arrangement and motif composition in five different species: apple, strawberry, peach, apricot, and grape. Protein–protein network analysis showed that SPX proteins are closely related to proteins involved in P metabolism in apple. The digital expression profiles of MdSPX genes among 47 apple tissues were characterized to provide insight into their potential functions. RT-qPCR revealed that the expression level of all MdSPXs was significantly downregulated in 50% P + PGPR treatments, indicating that 50% P combined with PGPR is effectively taken up by the plant, saving it from Pi starvation. These results not only confirm the key role of MdSPXs in Pi homeostasis and the Pi signaling pathway but also clarify the importance of Pi-solubilizing bacteria in plant nutrition.
What if precision agriculture is not profitable?: A comprehensive analysis of the right timing for exiting, taking into account different entry options
Authors: Munz Johannes 
Published: February 2024

AbstractThe digitization of agriculture is widely discussed today. But despite proven benefits, its acceptance in agricultural practice remains low. In small-structured areas, this trend is even more pronounced. There are even known cases where farmers initially purchased and used technology, but then stopped using it due to lack of profitability or other reasons. Interestingly, despite extensive research on precision agriculture technologies (PATs), the processes of adoption and phase-out with their associated economic impacts have never been studied. This paper provides a methodological framework for evaluating the economics of PAT deployment, taking into account changes during the period of use; the framework provides decision rules for determining the appropriate time to phase out technology. Using a selected PAT, a farm model, and defined entry and exit scenarios, it was shown that farms with outdated technology and farms with retrofittable technology are at a significant economic disadvantage during implementation compared to farms already using technology suitable for site-specific fertilization or farms relying on the use of a contractor. And even in the event of a phase-out, the two disadvantaged starting conditions face significantly greater uncertainties and costs. Moreover, the decision to phase out in time is difficult, as making an informed and fact-based decision is not possible after the first year of use. Therefore, it is advisable that farmers are not only accompanied before and during phase-in, but also receive professional support during use.
What gets published and what doesn’t? Exploring optimal distinctiveness and diverse expectations in entrepreneurship articles
Authors: Meurer Marie Madeleine , Belitski Maksim , Fisch Christian , Thurik Roy 
Published: February 2024

AbstractThe field of entrepreneurship has seen remarkable growth, increasing the expectations of academic audiences. Articles need to balance novelty with rigorous methodology, theoretical contributions, social implications, and coherent argumentation to succeed in the publication process. However, navigating these varied and sometimes conflicting expectations to achieve optimal distinctiveness in academic narratives is challenging for authors. To explore how authors can achieve optimal distinctiveness amidst these complex expectations, we studied academic narratives and related editorial decisions of two leading entrepreneurship journals, Entrepreneurship: Theory & Practice (ETP, 4,151 papers) and Small Business Economics Journal (SBEJ, 4,043 papers), using computer-aided text analysis. Our study debunks common assumptions about what makes a successful entrepreneurship paper, providing an empirical basis for understanding actual versus perceived publication requisites. Furthermore, we extend optimal distinctiveness theory by demonstrating that high distinctiveness is not uniformly advantageous, meeting numerous expectations is not necessarily beneficial, and clear language is crucial for complex narratives. Our study underscores that crafting narratives is more nuanced than traditionally believed.
The role of experience and diversity on research consortia’ performance: an exploratory approach
Authors: Alegre Inés , Berbegal-Mirabent Jasmina , Martin-Sanchez Victor 
Published: February 2024

Abstract
In the realm of academic engagement, this study directs its focus toward a policy instrument that has received surprisingly scant attention within the literature, despite its substantial investment: European Union-funded research projects. These projects are designed to foster collaboration and establish a framework that supports and fortifies the creation and dissemination of exceptional knowledge and cutting-edge technologies. These endeavors are anticipated to fuel economic growth, spur social development, and address global challenges. Within this study, we delve into the impact of team experience and diversity on the research performance of consortia — groups of organizations — that have been successfully awarded funding within the FP7 and H2020 funding schemes. In order to dissect the influence of learning, our analysis is confined to consortia that have collaborated on multiple occasions. Drawing from data sourced from Community Research and Development Information Service, our findings unveil that beyond the monetary allocation, an array of team attributes and environmental factors play a role in augmenting team performance.
Embodiment Matters in Knowledge Building
Authors: Blackie Margaret , Luckett Kathy 
Published: February 2024

AbstractIn this paper, we begin a conversation with educators invested in developing epistemic insight. We argue that generative artificial intelligence provides an opportunity to make a necessary corrective to our understanding of knowledge and knowledge building. The use of the metaphors of such as ‘human-as-machine’ has inadvertently promoted a reductive understanding of knowledge which has led to an impoverished version of higher education. In reducing the person to an information processor, knowledge has been artificially separated from the knower. The view of the human person as a relational being situated in time and space along with a recognition that intuition and imagination are important dimensions of knowledge development point to the significance of the embodiment of knowledge. For knowledge to have value and meaning, it must be enacted by a particular, embodied person. The recognition of the importance of embodiment and the associated implications are crucial if higher education is to respond in a meaningful way to the challenge presented by generative AI.
State Dependence in Material and Social Deprivation in European Single-Parent Households
Authors: Calegari Elena , Fabrizi Enrico , Mussida Chiara 
Published: February 2024

AbstractThis paper explores the dynamics of social exclusion as measured by material and social deprivation in the particularly exposed category of single-parent households. We aim to assess whether there is true state dependence in deprivation and the role of other household factors, as well as that of the macro-economic and social welfare scenario. We use 2015–2018 European Union Statistics on Income and Living Conditions longitudinal data to explore a large set of European countries. We estimate three-level dynamic probit models that enable us to account for micro- and country-level unobserved heterogeneity. Our results suggest that material and social deprivation is likely to be a trap for single-parent households and that this effect is stronger for these households than for those composed of two adults and children. Among single-parent households, those headed by a female are worse off than those headed by a male. The policy implications of these findings are also discussed.
Angell and McCall Meet Wansing
Authors: Omori Hitoshi , Kapsner Andreas 
Published: February 2024

AbstractIn this paper, we introduce a new logic, which we call AM3. It is a connexive logic that has several interesting properties, among them being strongly connexive and validating the Converse Boethius Thesis. These two properties are rather characteristic of the difference between, on the one hand, Angell and McCall’s CC1 and, on the other, Wansing’s C. We will show that in other aspects, as well, AM3 combines what are, arguably, the strengths of both CC1 and C. It also allows us an interesting look at how connexivity and the intuitionistic understanding of negation relate to each other. However, some problems remain, and we end by pointing to a large family of weaker logics that AM3 invites us to further explore.
Energy-focused simulation of edge computing architectures in 5G networks
Authors: Gómez Blas , Coronado Estefanía , Villalón José , Garrido Antonio 
Published: February 2024

AbstractWhile cloud computing is crucial in processing data from devices with low computational power, the latency introduced by the Internet backhaul limits real-time applications. By situating computing resources at the network’s edge, edge computing offers low-latency services by offloading computations from high-performance computing (HPC) data centers to the edge servers, reducing wide Area network (WAN) strain. As a result, edge computing has unlocked opportunities for innovative applications that were previously unfeasible, such as connected vehicles or medical robotics. Nonetheless, deploying the infrastructure required to support edge computing services raises sustainability and energy consumption concerns. Consequently, the development of tools enabling researchers to explore innovative approaches to reducing the energy impact of edge computing is crucial. In this work, we present MintEDGE, a network simulator focused on the energy consumption of edge computing. Our simulator allows testing energy-saving approaches and task placement algorithms in realistic large-scale scenarios encompassing entire regions.
Aristotelian Practical Wisdom (Phronesis) as the Key to Professional Ethics in Teaching
Authors: Kristjánsson Kristján 
Published: February 2024

AbstractThis article is about a virtue ethical approach to the professional ethics of teaching, centred around the ideal of phronesis (practical wisdom) in an Aristotelian sense. It is grounded empirically in extensive research conducted at the Jubilee Centre for Character and Virtues into teachers and other UK professionals, and it is grounded theoretically in recent efforts to revive an Aristotelian concept of phronesis as excellence in ethical decision-making. The article argues for the need for a virtue-based approach to professional practice, based on time-honoured Aristotelian assumptions and culminating in a conceptually viable construct of phronesis as a psycho-moral integrator and adjudicator. After setting some of the historical background in Sect. 1, Sect. 2 charts the most relevant empirical findings. Section 3 introduces a call for phronesis as a guide to virtue-based professional ethics: its role, nature, and methods of instruction. Section 4 adds some caveats and concerns about if and how phronesis can be cultivated as part of teacher training. Finally, Sect. 5 offers some concluding remarks about the novelty and radicality of the approach on offer in this article.
Biostimulants do not affect the performance of urban plant species grown under drought stress
Authors: Cinantya Ariningsun , Manea Anthony , Leishman Michelle R. 
Published: February 2024

AbstractUrban areas often have low soil water availability due to their impervious surfaces reducing rainfall infiltration. These water-limited conditions may be exacerbated by the projected increases in drought events caused by climate change. As a result, plants that grow in urban areas are vulnerable to drought stress. There are a range of practices that can be used to help mitigate drought stress, including the use of biostimulants. This study aimed to determine whether biostimulant application (1) improves plant performance and (2) mitigates the drought stress on urban plant species. To address these aims, we selected six woody and three graminoid plant species that are commonly planted in Australian urban areas and exposed them to different watering (drought-stressed, well-watered) and biostimulant (control, humic acid, protein hydrolysate, seaweed extract) treatments. We then measured their assimilation rate, growth metrics and biomass allocation. We found that drought stress reduced the assimilation rates and shoot growth of the study species. However, this did not translate into a biomass reduction because the drought-stressed plants reallocated resources towards root biomass. We found no evidence to suggest biostimulant application mitigated the impacts of drought stress on plant performance. Further, the only effect biostimulant application had on plant performance irrespective of the watering treatment was that the seaweed biostimulant increased the plant height growth of the woody species. These results show that the biostimulants used in this study will have a limited effect on the performance of plant species commonly planted in Australian urban areas.
Real-Time Evaluation of the Uncertainty in Weather Forecasts Through Machine Learning-Based Models
Authors: Calvo-Olivera Carmen , Guerrero-Higueras Ángel Manuel , Lorenzana Jesús , García-Ortega Eduardo 
Published: February 2024

AbstractMeteorological events have always been of great interest because they have influenced everyday activities in critical areas, such as water resource management systems. Weather forecasts are solved with numerical weather prediction models. However, it sometimes leads to unsatisfactory performance due to the inappropriate setting of the initial state. Precipitation forecasting is essential for water resource management in semi-arid climate and seasonal rainfall areas such as the Ebro basin. This research aims to improve the estimation of the uncertainty associated with real-time precipitation predictions presenting a machine learning-based method to evaluate the uncertainty of a weather forecast obtained by the Weather Research and Forecasting model. We use a model trained with ground-truth data from the Confederación Hidrográfica del Ebro, and WRF forecast results to compute uncertainty. Experimental results show that Decision Tree-based ensemble methods get the lowest generalization error. Prediction models studied have above 90% accuracy, and root mean square error has similar results compared to those obtained with the ground truth data. Random Forest presents a difference of -0.001 concerning the 0.535 obtained with the ground truth data. Generally, using the ML-based model offers good results with robust performance over more traditional forms for uncertainty calculation and an effective alternative for real-time computation.
Green industry work: production of FeCl3 from iron and steel industry waste (mill scale) and its use in wastewater treatment
Authors: Solmaz Alper , Bölükbaşi Ömer Saltuk , Sari Zeynel Abidin 
Published: February 2024

AbstractMill scale (MS) is considered to be a significant metallurgical waste, but there is no economical method yet to utilize its metal content. In this study, which covers various processes in several stages, the solution of iron in MS, which is the Iron and Steel Industry (I&SI) waste, as FeCl3 (MS-FeCl3) in the thermoreactor in the presence of HCl, was investigated. In the next step, the conditions for using this solution as a coagulant in the treatment of I&SI wastewater were investigated using the jar test. The results of the treated water sample were compared by chemical oxygen demand (COD), total suspended solids (TSS), color, and turbidity analyses using commercial aluminum sulfate (Al2(SO4)3) and FeCl3 (C-FeCl3). Additionally, heavy metal analyses were conducted, and the treatment performance of three coagulants was presented. Accordingly, while 2.0 mg/L anionic polyelectrolyte was consumed at a dosage of 4.05 mg/L Al2(SO4)3 at pH 7.0, 0.25 mg/L anionic polyelectrolyte was consumed at a dosage of 1.29 mg/L at pH 5.0 in the C-FeCl3 and MS-FeCl3 studies. Also, Fe, Cr, Mn, Ni, Zn, Cd, Hg, and Pb removal efficiencies were over 93.56% for all three coagulant usage cases. The results showed that the wastewater treatment performance of MS-FeCl3 by the recycling of MS, which is an I&SI waste, was at the same level as C-FeCl3. Thus, thanks to recycling, waste scale can be used as an alternative to commercial products for green production.
Graphical abstract
Fate of fluoroquinolones in field soil environment after incorporation of poultry litter from a farm with enrofloxacin administration via drinking water
Authors: Fučík Jan , Amrichová Anna , Brabcová Kristýna , Karpíšková Renata , Koláčková Ivana , Pokludová Lucie , Poláková Šárka , Mravcová Ludmila 
Published: February 2024

AbstractThe practice of incorporating animal manure into soil is supported within the European Circular economy as a possible substitute for mineral fertilizers and will become crucial for the sustainability of agriculture. However, this practice may indirectly contribute to the dissemination of antibiotics, resistance bacteria, and resistance genes. In this study, medicated drinking water and poultry litter samples were obtained from a broiler-chick farm. The obtained poultry litter was incorporated into the soil at the experimental field site. The objectives of this research project were first to develop analytical methods able to quantify fluoroquinolones (FQs) in medicated drinking water, poultry litter, and soil samples by LC–MS; second to study the fate of these FQs in the soil environment after incorporation of poultry litter from flock medicated by enrofloxacin (ENR); and third to screen the occurrence of selected fluoroquinolone resistance encoding genes in poultry litter and soil samples (PCR analysis). FQs were quantified in the broiler farm’s medicated drinking water (41.0 ± 0.3 mg∙L−1 of ENR) and poultry litter (up to 70 mg∙kg−1 of FQs). The persistence of FQs in the soil environment over 112 days was monitored and evaluated (ENR concentrations ranged from 36 μg∙kg−1 to 9 μg∙kg−1 after 100 days). The presence of resistance genes was confirmed in both poultry litter and soil samples, in agreement with the risk assessment for the selection of AMR in soil based on ENR concentrations. This work provides a new, comprehensive perspective on the entry and long-term fate of antimicrobials in the terrestrial environment and their consequences after the incorporation of poultry litter into agricultural fields.
Graphical Abstract
Use of wastewater alum-coagulation sludge as a phosphorus fertiliser – a mini review
Authors: Loganathan Paripurnanda , Kandasamy Jaya , Ratnaweera Harsha , Vigneswaran Saravanamuthu 
Published: February 2024

AbstractThe use of aluminium (Al) salts, particularly alum, in coagulation is a widespread and conventional treatment method for eliminating pollutants, including phosphorus (P) which can cause eutrophication, from wastewater. However, a significant challenge of this process is the substantial amount of sludge generated, necessitating proper disposal. Historically, land disposal has been a common practice, but it poses potential issues for plant life on these lands. Despite the associated drawbacks, sludge contains elevated concentrations of vital plant nutrients like P and nitrogen, presenting an opportunity for beneficial use in agriculture. Given the imminent scarcity of P fertilizers due to the eventual depletion of high-grade P ores, this review explores the potential advantages and challenges of utilizing Al sludge as a P source for plants and proposes measures for its beneficial application. One primary concern with land application of Al sludge is its high levels of soluble Al, known to be toxic to plants, particularly in acidic soils. Another issue arises from the elevated Al concentration is P fixation and subsequently reducing P uptake by plants. To address these issues, soil treatment options such as lime, gypsum, and organic matter can be employed. Additionally, modifying the coagulation process by substituting part of the Al salts with cationic organic polymers proves effective in reducing the Al content of the sludge. The gradual release of P from sludge into the soil over time proves beneficial for plants with extended growth periods.
Secondary infections and long-term outcomes among hospitalized elderly and non-elderly patients with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and treated with baricitinib: a comparative study from the national centre of Hungary
Authors: Gáspár Zsófia , Szabó Bálint Gergely , Andrikovics Hajnalka , Ceglédi Andrea , RAJMON Martin , Ábrahám Anita , Várnai Zsuzsanna , Kiss-Dala Noémi , Szlávik János , Sinkó János , Vályi-Nagy István , Lakatos Botond 
Published: February 2024

AbstractBaricitinib is considered a first-line treatment for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-infected adult patients with an associated cytokine storm syndrome (CSS). Our objective was to compare rates of secondary infections and long-term outcomes of elderly and non-elderly patients who received baricitinib for COVID-19. We conducted a single-centre observational study between November 2020 and September 2023, focusing on hospitalized adult SARS-CoV-2 patients with CSS, categorized as elderly (≥ 65 years) and non-elderly (< 65 years). Enrolment, severity stratification, and diagnosis of infectious complications followed predefined criteria. Outcomes of all-cause mortality and rates of non-severe and severe secondary infections were assessed at 1-year post-treatment initiation. Kaplan–Meier analysis was performed for survival analysis. In total, 490 patients were enrolled (median age 65 ± 23 (21–100) years (years, median ± IQR, min–max); 49.18% elderly; 59.59% male). Elderly patients were admitted to the hospital significantly earlier (7 ± 5 days vs. 8 ± 4 days; p = 0.02), experienced a higher occurrence of severe COVID-19 (121/241, 50.21% vs. 98/249, 39.36%; p = 0.02), and required the use of non-invasive ventilation at baseline (167/225, 74.22% vs. 153/236, 64.83%; p = 0.03). At 1 year, all-cause mortality was significantly higher in the elderly subgroup (111/241, 46.06% vs. 29/249, 11.65%; p < 0.01). At 90 days and 1 year, rates of any severe secondary infection were also more prevalent among the elderly (56/241, 23.24% vs. 37/249 14.86%; p = 0.02 and 58/241, 24.07% vs. 39/249, 15.66%; p = 0.02). In conclusion, elderly SARS-CoV-2-infected patients experience a more severe clinical course, higher secondary infection rates, and increased risk for long-term mortality, regardless of immunomodulatory therapy.