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1701 - 1710 / 2000
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1701.
Characterization factors to assess land use impacts on pollinator abundance in life cycle assessment
Elizabeth M. Alejandre, Laura Scherer, Jeroen B. Guinée, Marcelo A. Aizen, Matthias Albrecht, Mario V. Balzan, Ignasi Bartomeus, Danilo Bevk, 2023, original scientific article

Abstract: While wild pollinators play a key role in global food production, their assessment is currently missing from the most commonly used environmental impact assessment method, Life Cycle Assessment (LCA). This is mainly due to constraints in data availability and compatibility with LCA inventories. To target this gap, relative pollinator abundance estimates were obtained with the use of a Delphi assessment, during which 25 experts, covering 16 nationalities and 45 countries of expertise, provided scores for low, typical, and high expected abundance associated with 24 land use categories. Based on these estimates, this study presents a set of globally generic characterization factors (CFs) that allows translating land use into relative impacts to wild pollinator abundance. The associated uncertainty of the CFs is presented along with an illustrative case to demonstrate the applicability in LCA studies. The CFs based on estimates that reached consensus during the Delphi assessment are recommended as readily applicable and allow key differences among land use types to be distinguished. The resulting CFs are proposed as the first step for incorporating pollinator impacts in LCA studies, exemplifying the use of expert elicitation methods as a useful tool to fill data gaps that constrain the characterization of key environmental impacts.
Keywords: pollinator abundance, ecosystem service, Delphi expert elicitation, agriculture, impact assessment
Published in DiRROS: 12.07.2024; Views: 349; Downloads: 239
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1702.
Artificial intelligence (AI) and strategic planning process within VUCA environments : a ǂresearch agenda and guidelines
Roberto Biloslavo, David A. Edgar, Erhan Aydin, Çağri Bulut, 2024, original scientific article

Abstract: Purpose – This study demonstrates how artificial intelligence (AI) shapes the strategic planning process in volatile, uncertain, complex and ambiguous (VUCA) business environments.Having adopted various domains of the Cynefin framework, the research explores AI’s transformative potential and provide insights regarding how organisations can harness AI-driven solutions for strategic planning. Design/methodology/approach –This conceptual papertheorises the role of AIin strategic planning process in a VUCA world by integrating extant knowledge across multiple literature streams. The “model paper” approach was adopted to provide a theoretical framework predicting relationships among considered concepts. Findings – The paper highlights potential application of the Cynefin framework to manage complexities in strategic decision-making process, the transformative impact of AI at different stages of strategic planning, the required strategic planning characteristics within VUCA to be supported by AI and the attendant challenges posed by AI integration in the uncertain business landscape. Originality/value –This study pioneers a theoretical exploration of AI’s role in strategic planning within the VUCA business landscape, guided by the Cynefin framework. Thus, it enriches scholarly discourse and expands knowledge frontiers.
Keywords: artificial intelligence, strategic planning, VUCA
Published in DiRROS: 12.07.2024; Views: 318; Downloads: 157
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1703.
Content of trace elements and human health risk assessment via consumption of commercially important fishes from Montenegrin coast
Neda Bošković, Danijela Joksimović, Oliver Bajt, 2023, original scientific article

Abstract: Muscle tissues of Mullus barbatus and Merluccius merluccius were analyzed for the presence of selected trace elements (As, Hg, Cd, and Pb) to determine the value of the daily intake of trace elements from fish consumption and to assess the risk to human health. The mean concentrations of As in the muscle tissue of M. barbatus and M. merluccius for the entire period were 19.689 mg/kg wet weight (ww) and 8.356 mg/kg ww, Hg 0.497 mg/kg ww and 0.153 mg/kg ww, and Pb 0.031 mg/kg ww and 0.025 mg/kg ww, respectively. The concentrations of Cd in all fish sampled were below the detection limit (<0.02 mg/kg ww). The evaluation of the potential health risk assessments based on the target hazard quotient (THQ) and estimated daily intake (EDI) indicated that the intake of As in both fish species and Hg for M. barbatus could pose an appreciable risk to human health. The calculated hazard index (HI) was higher than 1 for both fish species. The continuous monitoring of trace elements’ concentrations in fish is strongly recommended, as the results demonstrate potential health risks due to the presence of As and Hg.
Keywords: trace elements, Mullus barbatus, Merluccius merluccius, human health risk assessment, Montenegro, Adriatic Sea, hydrobiology
Published in DiRROS: 12.07.2024; Views: 359; Downloads: 173
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1707.
Anti-vimentin nanobody decreases glioblastoma cell invasion in vitro and in vivo
Alja Zottel, Metka Novak, Neja Šamec, Bernarda Majc, Sara Colja, Mojca Katrašnik, Miloš Vittori, Barbara Hrastar, Ana Rotter, Andrej Porčnik, Tamara Lah Turnšek, Radovan Komel, Barbara Breznik, Ivana Jovchevska, 2023, original scientific article

Abstract: Purpose: Glioblastoma (GBM) is the most common primary brain tumour and one of the deadliest cancers. In addition to late diagnosis and inadequate treatment, the extremely low survival rate is also due to the lack of appropriate therapeutic biomarkers and corresponding therapeutic agents. One of the potential therapeutic biomarkers is the intermediate filament vimentin, which is associated with epithelial-mesenchymal transition (EMT). The purpose of this study was to analyse the effect of the anti-vimentin nanobody Nb79 on cell invasion in vitro and in vivo. To further our understanding of the mechanism of action, we investigated the association between Nb79 and EMT in GBM and GBM stem cells by analysing the expression levels of key EMT-related proteins. Methods: The expression of vimentin in glioma tissues and cells was determined by RT-qPCR. An invasion assay was performed on differentiated glioblastoma cell line U-87 MG and stem cell line NCH421k in vitro as well as in vivo in zebrafish embryos. The effect of Nb79 on expression of EMT biomarkers beta-catenin, vimentin, ZEB-1 and ZO1 was determined by Western blot and immunocytochemistry. Results: Our study shows that vimentin is upregulated in glioblastoma tissue compared to lower grade glioma and non-tumour brain tissue. We demonstrated that treatment with Nb79 reduced glioblastoma cell invasion by up to 64% in vitro and up to 21% in vivo. In addition, we found that the tight junction protein ZO-1 had higher expression on the cell membrane, when treated with inhibitory anti-vimentin Nb79 compared to control. Conclusion: In conclusion, our results suggest that anti-vimentin nanobody Nb79 is a promising tool to target glioblastoma cell invasion.
Keywords: glioblastoma, vimentin, nanobody
Published in DiRROS: 12.07.2024; Views: 380; Downloads: 225
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1708.
Composition of colloidal organic matter in phytoplankton exudates
Katja Klun, Primož Šket, Alfred Beran, Ingrid Falnoga, Jadran Faganeli, 2023, original scientific article

Published in DiRROS: 12.07.2024; Views: 348; Downloads: 276
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1709.
Highly specific qPCR and amplicon sequencing method for detection of quarantine citrus pathogen Phyllosticta citricarpaapplicable for air samples
Janja Zajc, Zala Kogej Zwitter, Sara Fišer, Cene Gostinčar, Antonio Vicent, Anaïs Galvañ Domenech, Luca Riccioni, Neil Boonham, Maja Ravnikar, Polona Kogovšek, 2023, original scientific article

Abstract: The fungus Phyllosticta citricarpa is a quarantine pathogen in the EU and is of high economic importance in many parts of the world where favourable climate conditions drive the development of citrus black spot (CBS) disease. Disease symptoms include necrotic lesions on leaves and fruits. Low disease pressure can reduce crop market-ability, while higher disease pressure can cause premature fruit drop, significantly increasing crop losses. The wind-dispersed spores of P. citricarpa are especially prob-lematic for rapid pathogen dispersal, but also provide an opportunity for early detec-tion of the disease spreading into a new area. In this study we have developed and validated a quantitative PCR (qPCR) assay based on the TEF1-α sequence. Specificity testing demonstrated that it is currently the only qPCR assay that does not cross- react with closely related Phyllosticta species. The assay is sensitive and can detect a single copy of the TEF1 gene in a reaction, it is highly repeatable and reproducible and can be used for testing of the sticky tapes from spore traps as well as citrus fruit sam-ples. High-throughput sequencing (HTS) of the DNA barcodes ITS1 and TEF1 was also explored for the detection and discrimination of P. citricarpa. The limit of detection of the HTS was 1000 spores on a daily spore trap tape. This study makes an important improvement to the diagnostics of the CBS and the methods developed can also be applied to improve the surveillance and early detection of the pathogen when linked to spore samplers in the field.
Keywords: detection, fungal spore sampling, internal transcribed region (ITS), translation elongation factor 1-α (TEF1)
Published in DiRROS: 12.07.2024; Views: 325; Downloads: 271
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