bluuebunny/crossref_metadata_2025_split huggingface dataset:
Soil-structure interaction assessment combining deconvolution of building and field recordings with polarization analysis: application to the Matera (Italy) experiment
Authors: Skłodowska Anna Maria , Parolai Stefano , Petrovic Bojana , Romanelli Fabio 
Published: August 2023

AbstractIn this study, the wavefield radiated from a building to its surroundings is identified and extracted from M4.6 earthquake recordings collected by sensors installed in a building and on the nearby athletic field in Matera (Italy) using a new approach for soil-structure interaction assessment. The proposed approach for earthquake data analysis combines in an innovative way two methods already used in seismology and engineering seismology: deconvolution and polarization analysis. The approach enables the identification, reconstruction, and characterization of the wavefield radiated from a vibrating building into its surroundings, and the estimation of the amount of energy associated with it. The approach consists of four steps: (1) estimation of the resonant frequencies of the building, (2) deconvolution of the earthquake recordings from a building and its surroundings, (3) identification of the seismic phases, reconstruction of the signal transmitted from the building to its surroundings, and estimation of its energy, and (4) polarization analysis. Analysis of recordings of the M4.6 event highlighted that the motion related to the wavefield radiated from the building to the ground was mostly linearly polarized in the radial and transverse planes, while a clear ellipticity was observed only in the horizontal plane. The wavefield radiated from the building might be dominated by unconventionally polarized surface waves, i.e., quasi-Rayleigh waves or a combination of quasi-Rayleigh and quasi-Love waves. The results indicated that the energy transmitted from the analyzed vibrating building to its surroundings was significant and decreased the ground motion shaking due to the out-of-phase motion.
A self-adaptation-based approach to resilience improvement of complex internets of utility systems
Authors: Coppolino Luigi , D’Antonio Salvatore , Nardone Roberto , Romano Luigi 
Published: August 2023

AbstractResilience improvement of complex internets of utility systems is still an open issue for the current research. Proposed solutions fail to implement an integrated approach to detection, mitigation, and reaction which is able to face both well-known and new, previously unknown cyber-attacks (in particular distributed ones, which constitute one of the most serious and still unresolved threat scenarios affecting networked systems). In this work, we present the conceptual architecture of a novel multi-layer distributed Intrusion Detection and Reaction System based on the Autonomic Communication paradigm. The architecture relies on a self-organizing cooperative overlay network of complementary components that are dynamically and autonomously adapted to face distributed cyberattacks against Industrial Control Systems. The proposed architecture aims at being a guideline for experts and practitioners to address the well-known problem of distributed nature of new types of cyber-attacks, by implementing mechanisms to orchestrate available resources for effective detection and remediation dynamically. A distributed flow monitoring system provides input data to cooperative intrusion detection agents, which allow correlating information from heterogeneous feeds to improve the identification of attacks originating from both the inside and the outside of the monitored network and to support customizable remediation mechanisms.
Life cycle assessment of sitka spruce forest products grown in Ireland
Authors: Dolan Desmond , O’Ceallaigh Conan , Gil-Moreno David , McGetrick Patrick J. , Harte Annette M. 
Published: August 2023

Abstract
Purpose
The purpose of this study is to quantify the environmental impacts of Sitka spruce timber products harvested from the forestry sector in Ireland. This data is typically country-specific and is required to accurately quantify the environmental impacts associated with its production to better understand the impacts on the environment.

Methods
A representative model utilising the ReCiPe midpoint approach is developed for the forest sector and the production of log products in Ireland from primary data collected from the national forestry agencies, boardmill and sawmills over a 12-month period, where the last two represent 100% and 67% of the national production volume, respectively. The model was analysed using Life Cycle Assessment (LCA) and the resulting environmental impacts of log production are presented for two different boundary conditions, namely ‘cradle-to-forest road’ and ‘cradle-to-factory gate’ which considers the transport of the logs for further processing.

Results and discussion
The results are presented for the reference functional unit of 1 m3 of Sitka spruce log product but the results are also shown for 1 rotation of 1 ha of forest area, which allows comparisons with existing studies that utilise similar metrics such as a given area of forest. The results show that typically, clearfell operations are the most significant contributor to all impact categories. The contribution of the remaining operations in descending order of magnitude are thinning operations, forest road construction and maintenance, site preparation options, seedling production and finally forest maintenance operations. The extended model (‘cradle-to-factory gate’ model), which includes transport or delivery, has demonstrated a significant contribution due to transport alone where it was found to be responsible for, on average, 50% of each impact category presented (excluding land occupation) highlighting its significance.

Conclusions
The underlying Life Cycle Inventory (LCI) data, which quantifies the total outputs of emissions and substances to air, land and water, is presented. It can be seen that the contribution of different operations varies significantly dependent on the log type which provides important data which can be further incorporated into future studies for downstream products utilised in the construction industry.
Do temperature and moisture conditions impact soil microbiology and aggregate stability?
Authors: Dowdeswell-Downey E. , Grabowski R. C. , Rickson R. J. 
Published: August 2023

Abstract
Purpose
Studies predicting the impacts of climate change on erosion have considered numerous variables, such as rainfall erosivity and vegetation cover, but have not considered potential changes in soil erodibility. Erodibility is an intrinsic property of the soil, strongly correlated with the stability of soil aggregates. It is influenced by soil physico-chemical attributes, including the microbiological community. The study aim was to determine how shifts in temperature and moisture conditions, which other studies have shown affect microbiological communities, might affect aggregate stability.

Methods
Using an experimental approach with laboratory microcosms, aggregates from a sandy loam soil and a clay soil were incubated at three temperatures and three moisture conditions in a factorial experimental design. Aggregate stability was quantified using rainfall simulation. Microbiological indicator metrics were measured to evaluate treatment microbiological impacts, including community composition (PLFA), biomass carbon, and respiration.

Results
Temperature and moisture content affected aggregate stability significantly, but differently for the two soil types tested. For the sandy loam soil, aggregate stability decreased significantly with increasing moisture content. For the clay soil, aggregate stability increased significantly with increasing temperature. For both soil textures, temperature and moisture content affected microbiological community composition and respiration. Regression analysis indicated that microbiological properties were significant predictors of aggregate stability.

Conclusion
Our results emphasise the dynamic nature of soil aggregate stability. Changes in microbiological metrics suggest possible biological mechanisms for aggregate stability changes, which should be investigated further to better understand the potential impacts of climate change on soil erodibility and erosion.
Clinical, Cognitive, and Neurobiological Correlates of Impaired Timing Abilities Associate to Cannabis Use: a Systematic Review
Authors: Escelsior Andrea , Trabucco Alice , Radicati Manfredo , Murri Martino Belvederi , da Silva Beatriz Pereira , Serafini Gianluca , Amore Mario 
Published: August 2023

AbstractTime perception received growing interest in psychiatry for its psychopathological implications. Cannabis use can cause a subjective experience of temporal perception alteration and increases the risk of emergence of mental illnesses such as psychotic and mood disorders. In this framework, we systematically reviewed the findings regarding the clinical, cognitive, and neurobiological correlates of time alterations due to cannabis consumption. According to preclinical results, cannabis exerts a dose-dependent time overestimation, associated with motor inhibition and circadian alterations. Clinical results reported that cannabis impair time estimation and time reproduction abilities, causing subjective temporal fragmentation and depersonalization symptoms. The alteration of timing mediated by cannabis use might depend on a dopaminergic indirect action and on structural, functional, and metabolic alterations of the cerebello-thalamo-cortical circuit. Despite the potential interest, however, only few studies explored the link between cannabis-induced alterations of time processing and psychiatric symptoms.
Local purse-seine fishers’ economic losses owing to endangered seabird conservation measures – perceptions and reality
Authors: Gifford T. , Lombard Amanda T. , Snow B. , Goodall V. , Pichegru Lorien 
Published: August 2023

AbstractThe likelihood of success of a marine protected area (MPA) is strongly dependent on stakeholders’ support. A concern often raised by local fishers is their lack of involvement in the design or management of a MPA and their loss of income owing to lost fishing grounds. We used Algoa Bay, South Africa, as a case study to analyse fisher’s and fish-processing factory managers’ concerns and perceived economic losses from fishing closures using structured interviews. Since 2009, a 20 km-radius purse-seine fishing-exclusion zone has been tested in Algoa Bay to assess the benefit to population recovery of the endangered African penguin Spheniscus demersus. Costs to the industry were estimated in terms of loss of catches and additional travel time to fishing grounds with and without closures. Fisher responses to interviews revealed general support for conservation and MPAs, but individuals interviewed did not feel that the 20 km fishing exclusion zones in Algoa Bay would aid African penguin conservation. While they systematically raised concerns about potential economic costs to their industry from closures, neither their catch sizes nor travel times varied significantly with fishing exclusion measures. Acknowledgement and assessment of the economic concerns may aid in initiating an informed dialogue amongst the various stakeholders in Algoa Bay, which may increase compliance and success of the newly proclaimed Addo elephant National Park MPA. Continued dialogue may also act as a catalyst for more integrated ocean management of biodiversity and human uses in the bay.
Suicide Risk in Personality Disorders: A Systematic Review
Authors: McClelland Heather , Cleare Seonaid , O’Connor Rory C. 
Published: August 2023

Abstract
Purpose of review
This systematic review aimed to distil recent literature investigating psychosocial factors which may account for the association between personality disorder (PD) and suicide attempt or suicide death.

Recent findings
Suicide risk is particularly elevated in people with PD compared to those with no, or many other, mental health diagnoses. Despite this, suicide prevention strategies for PD populations have not progressed markedly in recent years. It is critical, therefore, to identify additional factors associated with suicide in PD populations.

Summary
Of the 34 studies included in this review, most identified a relationship between personality disorder and suicide attempt and/or death. Historical interpersonal factors (e.g., childhood trauma), drug and alcohol use, and ideation-to-enaction factors were commonly associated with suicide-related outcomes. Interventions that provide interpersonal support may reduce suicide attempts. Limitations of the review include the heterogeneity of studies and small sample sizes.
Determination of Trace, Micro and Macro Elemental Concentration of Eritrean Honeys
Authors: Czipa Nikolett , Kovács Béla , Alexa Loránd , Gebreyesus Mehari 
Published: August 2023

AbstractIn this study macro, micro and trace elemental concentrations were measured in Eritrean acacia honey samples by Inductively Coupled Plasma Optical Emission Spectrometry (Al, B, C, K, Mg, Na, P and S) and Inductively Coupled Plasma Mass Spectrometry (As, Ba, Cd, Co, Cr, Cu, Fe, Mn, Mo, Ni, Pb, Sr and Zn). The concentration of essential elements in the examined Eritrean acacia honeys decreased in the following order: K > P > Ca > Mg > Fe > Zn > Mn > Cu > Sr > Mo. Independent samples T test was used to determine the statistically verified differences between the two regions, but there was none; however there were remarkable differences among the measured element contents of specific honey samples. Elemental concentrations of Eritrean honeys are influenced by the characteristics of the collecting area (e.g. elevation, agricultural activities, water resources).Our samples showed low essential elemental concentration; therefore the consumption of these honeys does not contribute significantly to the nutrition reference value (NRV) (around 1% of NRV). Toxic elemental concentrations were also low; thus the calculated estimated daily intakes were much lower than the tolerable daily intakes. Consumption of these honeys presents no risk for the human body.
Emphasising the community: demographic composition of an exceptional tomb—the Chalcolithic burial site of Camino del Molino, Caravaca de la Cruz, Murcia
Authors: Díaz-Navarro Sonia , Haber Uriarte María , Tejedor-Rodríguez Cristina , Lomba Maurandi Joaquín 
Published: August 2023

AbstractReconstructing the biological profile of a skeletal sample is essential for defining a particular demographic group or classifying isolated remains. These results allow us to complete the population pyramid of a settlement, analyse mortality trends and relate individuals of a particular sex or age-at-death category to possible funerary rituals, lifestyles and/or states of health and disease. In this work, we carry out a paleodemographic analysis of a singular tomb: the chalcolithic burial site of Camino del Molino, Murcia, SE Spain. The tomb hosted 1348 individuals (30.7% non-adults and 69.3% adults) over two contiguous funerary phases, spanning a large part of the third millennium BC, which makes it a reference site for knowledge of the Recent Prehistoric populations. For this purpose, we estimated different paleodemographic parameters (life tables, mortality rates and sex ratios) and compared them to model life tables of preindustrial populations and data from other contemporary peninsular series to evaluate possible demographic anomalies. The results suggest that Camino del Molino was home to individuals of all ages and sex. However, there is a clear under-representation of newborns and nursing/breastfeeding infants and an over-representation of 5–15-year-old individuals. These findings could indicate potential issues related to diet/weaning, disease and early inclusion in the economic activities of the group.
Mock samples resolve biases in diversity estimates and quantitative interpretation of zooplankton metabarcoding data
Authors: Ershova Elizaveta A. , Wangensteen Owen S. , Falkenhaug Tone 
Published: August 2023

AbstractMetabarcoding is a rapidly developing tool in marine zooplankton ecology, although most zooplankton surveys continue to rely on visual identification for monitoring purposes. We attempted to resolve some of the biases associated with metabarcoding by sequencing a 313-b.p. fragment of the COI gene in 34 “mock” samples from the North Sea which were pre-sorted to species level, with biomass and abundance estimates obtained for each species and taxonomic group. The samples were preserved either in 97% ethanol or dehydrated for 24 h in a drying oven at 65 °C (the routine way of preserving samples for dry weight measurements). The visual identification yielded a total of 59 unique holoplanktonic and 16 meroplanktonic species/taxa. Metabarcoding identified 86 holoplanktonic and 124 meroplanktonic species/taxa, which included all but 3 of the species identified visually as well as numerous species of hard-to-identify crustaceans, hydrozoan jellyfish, and larvae of benthic animals. On a sample-to-sample basis, typically 90–95% of visually registered species were recovered, but the number of false positives was also high. We demonstrate robust correlations of relative sequence abundances to relative biomass for most taxonomic groups and develop conversion factors for different taxa to account for sequencing biases. We then combine the adjusted sequencing data with a single bulk biomass measurement for the entire sample to produce a quantitative parameter akin to species biomass. When examined with multivariate statistics, this parameter, which we call BWSR (biomass-weighed sequence reads) showed very similar trends to species biomass and comparable patterns to species abundance, highlighting the potential of metabarcoding not only for biodiversity estimation and mapping of presence/absence of species but also for quantitative assessment of zooplankton communities.
Facial functional networks during resting state revealed by thermal infrared imaging
Authors: Cardone Daniela , Cerritelli Francesco , Chiacchiaretta Piero , Perpetuini David , Merla Arcangelo 
Published: August 2023

AbstractIn recent decades, an increasing number of studies on psychophysiology and, in general, on clinical medicine has employed the technique of facial thermal infrared imaging (IRI), which allows to obtain information about the emotional and physical states of the subjects in a completely non-invasive and contactless fashion. Several regions of interest (ROIs) have been reported in literature as salient areas for the psychophysiological characterization of a subject (i.e. nose tip and glabella ROIs). There is however a lack of studies focusing on the functional correlation among these ROIs and about the physiological basis of the relation existing between thermal IRI and vital signals, such as the electrodermal activity, i.e. the galvanic skin response (GSR). The present study offers a new methodology able to assess the functional connection between salient seed ROIs of thermal IRI and all the pixel of the face. The same approach was also applied considering as seed signal the GSR and its phasic and tonic components. Seed correlation analysis on 63 healthy volunteers demonstrated the presence of a common pathway regulating the facial thermal functionality and the electrodermal activity. The procedure was also tested on a pathological case study, finding a completely different pattern compared to the healthy cases. The method represents a promising tool in neurology, physiology and applied neurosciences.
Dynamical analysis of a discrete-time plant–herbivore model
Authors: Hamada M. Y. 
Published: August 2023

AbstractIn this paper, a discrete-time model of a plant–herbivore system is qualitatively analyzed using difference equations to describe population dynamics over time. The goal is to examine how the model behaves under varying parameter values and initial conditions. Results reveal that the model exhibits diverse dynamical behaviors such as stable equilibria, period-doubling cascade, and chaotic attractors. The analysis indicates that changes in crucial parameters greatly affect the system’s dynamics. This study offers crucial insights into plant–herbivore systems and highlights the value of qualitative analysis in comprehending intricate ecological systems.
Online monitoring of direct laser metal deposition process by means of infrared thermography
Authors: D’Accardi E. , Chiappini F. , Giannasi A. , Guerrini M. , Maggiani G. , Palumbo D. , Galietti U. 
Published: August 2023

AbstractDirect laser metal deposition (LMD–DED) is an additive manufacturing (AM) process that is used to build up and repair high-quality metal components. It works by overlapping layers of powder material and melting them with a laser. To get a stable process without defects and to reach, at the same time, high mechanical properties, a robust assessment and control of the process parameters, and above all of their combination, is required. The ideal goal is to assure the online control, to stop or correct the process in case of unexpected anomalies. In this work, a robust online monitoring of the laser metal deposition (LMD–DED) process based on the use of infrared thermography was developed and proposed. After choosing the suitable process parameters, a customized design of experiments (DOE) was set, and the statistical analysis of different thermal features was carried out to develop the most robust models that correlate them with the input process parameters (laser power, scanning speed, and powder flow rate). The proposed procedure was based on the extraction of different thermal features from suited regions of interest (ROI), performing statistical analyses by means of analysis of variance (ANOVA) and building regression models to correlate the process parameters with the thermal behavior. The obtained results demonstrated the possibility to control the process by means of the chosen thermal features, independent of the position of the ROI. Moreover, the possibility to use the models to detect typical AM defects, and anomalies, online directly during the process, has been proved and verified by destructive macrographs carried out on the manufactured coupons.
Watson-crick (D)0 L systems: a survey
Authors: Sosík Petr 
Published: August 2023

AbstractWatson-Crick L systems are string generating formal models obtained by augmenting Lindenmayer systems with the Watson-Crick morphism inspired by the Watson-Crick complementarity principle. The Watson-Crick morphism is controlled by a trigger—a boolean condition eventually met by the generated word. Despite their simplicity, Watson-Crick (D)0 L systems have interesting mathematical properties, a strong generative power, and they can also characterize some open decision problems. Furthermore, networks of Watson-Crick D0L systems are capable of trading space for time, and thus of characterizing linear time solutions to intractable problems. We provide a survey of results in this field since its origin in 1997 to the present, and we conclude with a series of open research problems and ideas.