bluuebunny/crossref_metadata_2025_split huggingface dataset:
A putative novel type of tight adherence (tad) like gene cluster of Pseudomonas chlororaphis PCL1606 exhibits a crucial role in avocado roots colonization, fostering its biological control activity
Authors: Ruiz-Muñoz Blanca , Rodríguez-García María , Heredia-Ponce Zaira , Tienda Sandra , Villar-Moreno Rafael , Arrebola Eva , de Vicente A. , Cazorla Francisco M. , Gutiérrez-Barranquero José A. 
Published: January 2025

Abstract

Aims

Pseudomonas chlororaphis PCL1606 (PcPCL1606), displays strong antagonistic and biological control abilities against several soil-borne fungal pathogens mainly due to the production of the antifungal molecule 2-hexyl, 5-propyl resorcinol (HPR). HPR governs other beneficial phenotypes, suggesting its additional regulatory activity. Published transcriptomic data identifying HPR-regulated genes involved in the interaction of PcPCL1606 with the avocado rhizosphere were used as a target database to identify putative genes involved in avocado roots colonization.

Methods
The induction of several consecutive genes that showed homology with genes encoding a putative type IV Flp/Tad (tight adherence) pilus but with a few differences from the Tad type A and B was observed. To study the role of this tad-like gene cluster in the biology of PcPCL1606, a chromosomal deletion mutant was constructed. The molecular characterization of the tad-like gene cluster and different in vitro and in vivo phenotypes related to colonization were addressed in the mutant strain respect to PcPCL1606.

Results
The tad-like gene cluster was composed of five independent transcriptional units. Furthermore, the tad-like deletion mutant was impaired in early attachment, early biofilm formation, bacterial autoggregation and in root competitiveness in avocado plants and biocontrol activity against R. necatrix.

Conclusions
These results expand our understanding about the role of HPR as a putative signalling molecule. This study revealed the importance of a putative novel type of a Tad system of PcPCL1606 in the avocado roots colonization, confirming that initial attachment to roots is a fundamental mechanism for the PcPCL1606 rhizospheric performance.
Field validation of a variable rate application sprayer equipped with ultrasonic sensors in apple tree plantations
Authors: Salas Bernat , Salcedo Ramón , Garcia-Ruiz Francisco , Gil Emilio 
Published: January 2025

Abstract
In recent years, there has been a significant progress in technologies used in 3D crop spraying. The inherent goal of applying these technologies has been to reduce drift, improve efficacy in the use of Plant Protection Products (PPP) and, consequently, reduce the amount of chemicals in fruit production, thus minimizing environmental impact and enhancing human health. In order to assess the study of this impact, deposition trials were conducted in an apple orchard at two different growth stages (BBCH72 and BBCH99). Three typical sprayers were used to perform these trials: the reference sprayer, representing the most popular one used by local farmers; the Best Management Practices (BMP) sprayer, symbolizing well-adjusted equipment according the target; and the VRA sprayer, a newly developed machine provided with ultrasonic sensors and the corresponding developed hardware to achieve an on-line pesticide rate adaption, according to the canopy dimensions. This VRA sprayer has been developed within OPTIMA H2020 EU project (www.optima-h2020.eu). The VRA sprayer effectively achieved similar or better values of deposition and coverage in the whole canopy target, using up to 35% less PPP rate, compared to the reference sprayer. Additionally, the developed VRA machine has demonstrated its ability to adapt the applied PPP rate to fundamental canopy parameters such as width and density, allowing to implement alternative pesticide rates, based on canopy characteristics (i.e. Leaf Wall Area), as a new method proposed by European and Mediterranean Plant Protection Organization (EPPO).
Using Machine Learning to Predict Suspended Sediment Transport under Climate Change
Authors: Bezak Nejc , Lebar Klaudija , Bai Yun , Rusjan Simon 
Published: January 2025

Abstract
Sediment transport, an important element of the erosion‒sedimentation cycle, can be very high during extreme flood events and can cause hydromorphological changes within river networks. Therefore, improved sediment transport predictions are needed to establish sediment management at the catchment scale. A machine learning model (i.e., XGBoost) and a sediment rating curve method were tested for predicting the suspended sediment load in the Sora River catchment in Slovenia. The evaluation of the models based on the historical data for 2016–2021 revealed that XGBoost outperformed the sediment rating curve model and resulted in a lower bias (i.e., approximately 15%). The XGBoost model was used to predict future suspended sediment load dynamics. Three representative concentration pathway (RCP) scenarios (RCP2.6, RCP4.5, and RCP8.5) and several climate change models were used. The rainfall–runoff model was set up, calibrated, validated and applied to simulate future daily discharge data, as this was the required input for the XGBoost and sediment rating curve models. The simulation results indicate that suspended sediment load is expected to increase in the future in the range 15–20% under both the RCP4.5 and RCP8.5 scenarios. Additionally, the number of days with a suspended sediment concentration (SSC) greater than 25 mg/l, which is often used an indicator of inadequate water quality, is expected to increase by 2–4%, whereas some models indicate an increase of up to 8%. Erosion and sediment management mitigation measures need to be applied in the future to ensure adequate water quality and good ecological status of the river.
Thermal Behavior of Silica Xerogel and Graphene Incorporated Composite Nonwovens
Authors: Kalaoglu-Altan Ozlem Ipek , Kayaoğlu Burçak Karagüzel 
Published: January 2025

Abstract
In this study, single, 2- and 3-layered composite polyethylene terephthalate (PET) nonwovens containing SiO2 xerogel and/or graphene were fabricated. In the first step, the xerogel-containing composites were prepared by either in situ SiO2 xerogel embedding in the nonwoven or electrospinning SiO2 xerogel-containing recycled PET (rPET) nanofibers on the nonwoven. Following, a graphene-containing electrospun rPET nanofibrous layer was constructed on both SiO2 xerogel incorporated composite nonwovens and neat nonwoven. The resultant layered composites were morphologically, spectrally, and thermally characterized using SEM, EDX, FTIR, and TGA. The thermal behavior of the composite structures was particularly investigated via analyzing their thermal comfort properties and infrared thermal images. It was observed that the best improvement in the insulating property of the nonwoven was reached when only SiO2 xerogel was in situ embedded in the nonwoven, possessing a thermal conductivity coefficient of 32.65 mW/m.K, lower than 43.45 mW/m.K of bare nonwoven. Contrarily, the thermal conductivity coefficient of the composites improved the most when the nonwoven was covered only with graphene-loaded nanofibers, reaching 48.82 mW/m.K, while composites containing both SiO2 xerogel and graphene layers showed thermophysical properties in between with thermal conductivity coefficients of 37.05–41.20 mW/m.K. The resultant composite nonwovens are encouraging materials for use in thermal management applications.

Graphical Abstract
Dynamics of Yearly Maximum Water Levels in the Amazon Estuary
Authors: Coulet Paul , Durand Fabien , Fassoni-Andrade Alice , Khan Md Jamal Uddin , Testut Laurent , Toublanc Florence , Santos Leandro Guedes , Moreira Daniel Medeiros , Azevedo Alberto 
Published: January 2025

Abstract
The magnitude and temporality of the yearly maxima water levels are key parameters for the characterization of the riverine flooding hazard and its impacts. Although the Amazon estuary, that conveys the largest river discharge to the world ocean, exhibits marked events of maxima of the water level every year, the contribution of the natural drivers to these yearly extreme water levels is not well quantified. In this study, we investigate the contributing factors to the yearly maxima water level events along the Amazon estuary using a high-resolution cross-scale hydrodynamic model that has been extensively validated against comprehensive in situ and satellite datasets. Our study shows that the oceanic tide plays a crucial role in the genesis of the yearly maxima, whose influence decays from the downstream part (accounting for 85% of the total water level) towards the upstream part (44% of the total water level) of the estuary. Conversely, the Amazon discharge during the peak flood season induces yearly maxima in the upstream part of the estuary (accounting for 41% of the total water level), but the riverine influence decays sharply towards downstream and remains minor in the region of the mouths (9% of the total water level). Additionally, the sporadic bursts of north-easterly trade winds result in a sizeable wind-setup in the estuary (typically accounting for 5% to 13% of the total water level). Our study underscores the need for considering compound forcing in the cross-scale modeling in Amazon and similar estuaries. At a time when the climatic extremes are becoming more frequent over the Amazon region, our study helps the interpretation of the imprint of these extremes on the water level variability along this estuary.
Sediment Properties and Seagrass Density Influence the Morphological Plasticity of Seagrass Zostera muelleri More Than Elevated Temperatures
Authors: Swadling Daniel S. , Taylor Skye L. , Gruber Renee K. , Glasby Tim M. 
Published: January 2025

Abstract
Understanding the long-term effects of elevated temperatures on foundational species like seagrasses is critical for predicting and managing the impacts of warming coastal ecosystems worldwide. Seagrasses exhibit plasticity in response to a range of environmental stressors, so the effects of climate change are likely to be context dependent. This study investigated differences in the growth and morphology of Zostera muelleri inside versus outside a warm water plume generated by a power station operating for ~ 26 years in Lake Macquarie, New South Wales, Australia. The effects of other factors, including sediment organic matter, season and seagrass density were also examined to ascertain their importance relative to elevated temperatures. Despite water temperatures in the thermal plume being equivalent to conditions predicted by 2090 under future climate scenarios (1.5–2.7 °C above ambient), there were no consistent effects of these elevated temperatures on Z. muelleri growth and morphology. Instead, growth at all sites (ambient and warm water) was greater by 40.3% in spring and 74.3% in summer when compared to winter. Increasing organic matter content in sediments was associated with a 69.8% rise in below-ground biomass and a subsequent 73.8% reduction in the ratio of above- to below-ground biomass. There was also evidence for seagrass density effects, with denser meadows having shorter leaves and reduced growth rates, likely due to self-shading. Overall, these findings demonstrate that Z. muelleri in the centre of its distribution in eastern Australia can tolerate moderate temperature increases over decadal scales.
Baseline studies on meiofauna in the Baltic Sea before bottom-trawl fisheries exclusion I: comparison of communities in the Fehmarn Belt (western Baltic Sea), with special reference to the Harpacticoida (Crustacea, Copepoda)
Authors: Packmor Jana , George Kai Horst , Schönke Mischa , Martínez Arbizu Pedro 
Published: January 2025

Abstract
The meiobenthic communities of a protected area and a reference area in the Fehmarn Belt (Baltic Sea, Germany) were compared, with both study areas currently permitting bottom-trawl fisheries. Meiobenthic data were recorded at the major taxon level. Additionally, the Copepoda Harpacticoida were further examined at the species level. This data collection will serve as a baseline for future assessments, after the planned exclusion of bottom-trawl fisheries in the protected area in 2024 to identify potential impacts on meiofaunal communities. In assessing the meiobenthic data in relation to trawling impact, a trawling index derived from multibeam data for the Fehmarn Belt was employed and developed in the early stage of the project. A comparison of major taxonomic levels did not reveal significant differences between the protected and reference areas in terms of taxa composition, abundance values or diversity. However, analysis of the Harpacticoida community at the species level showed that the compared areas differ significantly in species composition and abundance but not in diversity. These differences in the distribution of harpacticoid species indicate a small-scale heterogeneity of different (a)biotic factors. The initial correlation analyses between trawling intensity and both the main taxonomic levels and the Harpacticoida community did not reveal statistically significant results. This finding is attributable to the small number of samples all recovered in a trawling-affected area. Nevertheless, a higher variance in total abundance between replicates was observed with increasing trawling intensity.
Integrated Experimental and Thermodynamic Modelling Study of Phase Equilibria in the PbO-AlO1.5-SiO2 System in Air
Authors: Khartcyzov Georgii , Shevchenko Maksym , Nekhoroshev Evgenii , Jak Evgueni 
Published: January 2025

Abstract
The present study focused on phase equilibria in the PbO–AlO1.5 and PbO–AlO1.5–SiO2 systems. The equilibration and quenching technique followed by the electron probe X-ray microanalysis (EPMA) was used in the present study. The liquidus of the PbO–AlO1.5–SiO2 system in air, including corundum (Al2O3), cristobalite/tridymite/quartz (SiO2), feldspar (PbAl2Si2+x
O8+2x
), massicot (PbO), mullite (Al6+2x
Si2−2x
O13−x
), PbAl12O19, PbAl2O4, Pb9Al8O21, Pb6Al2Si6O21, Pb4Al2Si2O11, Pb4Al4Si3O16, Pb3Al10SiO20 and Pb12Al2Si20O55 primary phase fields, has been characterised. New lead aluminosilicate compounds, Pb13Al4Si6O31, Pb12Al6Si10O31, Pb9Al4Si8O31, Pb7Al2Si8O26 and Pb7Al2Si10O30 were found to coexist with oxide liquid. The PbO–AlO1.5 binary and PbO–AlO1.5–SiO2 ternary systems in air were reoptimized based on the obtained experimental data. New experimental results together with phase equilibria and thermodynamic literature data were used to obtain a self-consistent set of parameters of the thermodynamic model for all phases of the PbO–AlO1.5–SiO2 system in air. The predicted liquidus projection of the PbO–AlO1.5–SiO2 system was presented for the first time in the full range of temperatures and compositions.

Graphical Abstract
FBG-Based UV-Curing Kinetics Analysis by Exothermic Behavior
Authors: Yan Wen , Bi Zhenhua , Song Ying , Zhang Xinpu 
Published: January 2025

Abstract
Since photo-induced polymerization of the ultra-violet (UV)-curing adhesive from a fluid state to a solid state is an exothermic process, the UV curing exothermic behavior can be regarded as a potential evaluation methodology to analyze UV-curing kinetics. Herein, a fiber Bragg grating (FBG)-based UV curing exothermic behavior monitoring is proposed to evaluate the UV-curing dynamic process and analyze a series of thermal and mechanical properties changes during curing. The exothermic behavior of the UV curing adhesive during curing and the feasibility of FBG-based curing kinetic analysis scheme are verified experimentally, full cycle cure monitoring of the UV curing adhesive can be realized by this FBG-based curing kinetic analysis scheme, and the UV-curing kinetics of four different types of the UV curing adhesive are corresponding to different exothermic behaviors. Compared with curing process evaluation based on refractive index variation, this FBG-based exothermic behavior monitoring has the ability to extract more details of the curing process, and some curing stages with negligible refractive index changes also can be distinguished. By using this proposed scheme, the UV-curing dynamic process and multiple characteristic parameters, such as curing time, time constant, transient temperature rise, and residual stress, can be evaluated, which may contribute to evaluating and analyzing UV-curing kinetics more comprehensively.
Risk Governance for the Implementation of the Sendai Framework for Disaster Risk Reduction in Algeria
Authors: Benouar Djillali , Benmokhtar Amine 
Published: January 2025

Abstract
This article aims to assess Algeria’s progress in implementing the seven global targets of the Sendai Framework for Disaster Risk Reduction 2015–2030 (SFDRR) between 2015 and 2022. To achieve this, both qualitative and quantitative data were collected to meet the study’s objectives. The primary goal is to report on Algeria’s alignment with the seven SFDRR targets, considering the four priority areas of the framework as they relate to these targets. The article also seeks to explore the governance of risk in Algeria in the context of the SFDRR’s implementation. Over the past decade, Algeria has experienced a range of disasters involving natural hazards, including floods, storms, droughts, extreme temperatures, wildfires, earthquakes, transport crashes, and outbreaks of diseases such as COVID-19. These disasters, along with other endogenous causes not addressed in this article, have significantly hindered the country’s progress toward key global objectives, including the SFDRR.
A Local and Historical Perspective on Disaster Risk Reduction: Tunja, Colombia Case Study
Authors: Waked Nathalia , Jaime Catalina 
Published: January 2025

Abstract
This autoethnographic study presents a historical perspective on disaster risk reduction (DRR) at the local level, with the case study of the city of Tunja in Colombia. We analyze the impact that colonization, the independence period, and recent history have had on the creation and reduction of disaster risks in this city. We offer a holistic perspective that shows the interactions of the impact of inequality on Indigenous populations, lack of urban planning, deforestation and the planting of invasive plant species, among other factors, which in combination with natural hazards, such as heavy rainfall, increase disaster risks. We conclude that although the Sendai Framework for Disaster Risk Reduction 2015–2030 is a fundamental instrument to promote risk reduction, in the local context of Tunja, the framework as such is not seen as a guide or parameter. The Colombian Disaster Risk Management Law is the main guide to advance risk reduction. This study demonstrates how DRR is not an isolated process, but a process that encompasses the general well-being of the population. We demonstrate from our lived perspective how access to public education and school feeding, as well as other social protection measures, increase the resilience of the population, making them better able to cope with adversity due to different hazards. This local perspective, with a historical review of a small city in the middle of the Andes, demonstrates the importance of continuing to prioritize and invest in measures that contribute to the population’s well-being as a way to reduce disaster risks, including adapting to our changing climate.
Sensitivity assessment of cost allocative efficiency in data envelopment analysis
Authors: Amirteimoori Alireza , Allahviranloo Tofigh 
Published: January 2025

Abstract
Nonparametric cost allocative efficiency models in the framework of data envelopment analysis are sensitive to the prices of inputs. Changes in input prices may change the efficiency classification of a decision-making unit. In this sense, it is of interest to determine the ranges for input prices in which the efficiency classification remains unchanged. This paper focuses on sensitivity analysis of cost efficiency of a specific allocative efficient firm. Cost stability region is defined as a region in which the efficiency classification does not change if the input-cost vector is changed in such a way that the new vector belongs to this region. Linearly independent supporting surfaces of the production possibility set are used to define this region. The proposed cost stability regions are used to discriminate the decision-making units. Two illustrative examples (one simple numerical example and one real example) are used to demonstrate the applicability of the proposed approach.
Comprehensive Chlorine Suppression: Advances in Materials and System Technologies for Direct Seawater Electrolysis
Authors: Zhao Cenkai , Ding Zheyuan , Zhang Kunye , Du Ziting , Fang Haiqiu , Chen Ling , Jiang Hao , Wang Min , Wu Mingbo 
Published: January 2025

Abstract
Seawater electrolysis offers a promising pathway to generate green hydrogen, which is crucial for the net-zero emission targets. Indirect seawater electrolysis is severely limited by high energy demands and system complexity, while the direct seawater electrolysis bypasses pre-treatment, offering a simpler and more cost-effective solution. However, the chlorine evolution reaction and impurities in the seawater lead to severe corrosion and hinder electrolysis’s efficiency. Herein, we review recent advances in the rational design of chlorine-suppressive catalysts and integrated electrolysis systems architectures for chloride-induced corrosion, with simultaneous enhancement of Faradaic efficiency and reduction of electrolysis’s cost. Furthermore, promising directions are proposed for durable and efficient seawater electrolysis systems. This review provides perspectives for seawater electrolysis toward sustainable energy conversion and environmental protection.
Review on image registration methods for the quality control in additive manufacturing
Authors: Chand Keerthana , Fritsch Tobias , Oster Simon , Ulbricht Alexander , Bruno Giovanni 
Published: January 2025

Abstract
A critical challenge in Additive Manufacturing is to ensure the safety and dimensional accuracy of produced parts. Since quality control is made by means of different online and offline imaging techniques (e.g. Thermography, X-ray and Optical Computer Tomography), image registration plays an important role in addressing these challenges. This paper introduces the main motivation, challenges, and research gaps of image registration in Additive Manufacturing. Furthermore, it introduces the main transformations, registration methods, similarity matrices and accuracy measurement. The main aim of the paper is to present a comprehensive review on the available methods for image registration in Additive Manufacturing based on the measurement techniques. Various registration methods, including landmark-based, point cloud-based, image intensity-based, and shape-based techniques, are examined in their applications for quality control, defect detection, and distortion quantification.