bluuebunny/crossref_metadata_2025 huggingface dataset:
Making Order in Household Accounting - Digital Invoices as Domestic Work Artifacts
Authors: Dethier Erik , Kern Dean-Robin , Stevens Gunnar , Boden Alexander
Published: April 2024

The digitization of financial activities in consumers' lives is increasing, and the digitalization of invoicing processes is expected to play a significant role, although this area is not well understood regarding the private sector. Human-Computer Interaction (HCI) and Computer Supported Cooperative Work (CSCW) research have a long history of analyzing the socio-material and temporal aspects of work practices that are relevant for the domestic domain. The socio-material structuring of invoicing work and the working styles of consumers must be considered when designing effective consumer support systems. In this ethnomethodologically-informed, design-oriented interview study, we followed 17 consumers in their daily practices of dealing with invoices to make the invisible administrative work involved in this process visible. We identified and described the meaningful artifacts that were used in a spatial-temporal process within various storage locations such as input, reminding, intermediate (for postponing cases) buffers, and archive systems. Furthermore, we identified three different working styles that consumers exhibited: direct completion, at the next opportunity, and postpone as far as possible. This study contributes to our understanding of household economics and domestic workplace studies in the tradition of CSCW and has implications for the design of electronic invoicing systems.
Can Text-Based Statistical Models Reveal Impending Banking Crises?
Authors: du Plessis Emile
Published: April 2024

This paper introduces statistical models Wordscores and Wordfish to study and predict banking crises. While Wordscores is akin to supervised learning, Wordfish is analogous to unsupervised learning. Both methods estimate the position of banking distress on a tranquil-to-crisis spectrum. Findings suggest that the two statistical methods signal banking crisis up to two-years in advance, with robust results from AUROC, Granger causality and VAR impulse responses. Both methods outperform random forests in predicting crises using textual data. The Wordscores index highlights increased usage of banking sector nomenclature two years preceding a crisis, and Granger causes a crisis series with one and two lag lengths. Results from the Wordfish technique, a statistical model with Poisson distribution, show the index spikes before and during the Global Financial Crisis, when a large share of the countries in the world encountered banking crises. This paper contributes to literature on text-based models of banking crises by bolstering the preemptive policy responses available to policy makers. Given their early warning signals, both Wordscores and Wordfish can be considered a part of the toolset to monitor the stability and resilience of the banking sector.
How do we learn in and from Hackathons? A systematic literature review
Authors: Schulten Cleo , Chounta Irene-Angelica
Published: April 2024

This paper presents an analysis of the current research landscape around hackathons and hackathon-like events as opportunities and means for learning. In particular, we aimed to explore how hackathon-like events are utilized to promote learning, what systematic approaches are used to orchestrate learning in such events, and to what extent knowledge is systematized and standardized in this context. To that end, we conducted a Systematic Literature Review following established guidelines. In this review we studied 39 research papers published over a 10-year span. Our findings indicate that no standardized setup for hackathons to promote learning and to assess learning outcomes has been investigated exhaustively. We did not find a systematic approach to reliably produce or measure learning effects in hackathons. Most of the reviewed papers relied on perceived learning for the assessment of learning. Based on the consulted literature, this does not provide comprehensive proof of positive learning outcomes from hackathons. We, therefore, conclude that additional research is needed to gather insights and consequently work toward solidifying the role of hackathons as learning tools. This work contributes to exploring the landscape and proposing research directions for capitalizing on the potential of hackathons and similar events for learning.
Assessing water diversion impacts on the fish community size structure in headwater stream stretches
Authors: Gurí Rosa , Benejam Lluís , Ordeix Marc , Arranz Ignasi
Published: April 2024

Water diversion for hydropower plants is one of the leading causes of habitat alteration and biotic homogenization. The impacts of small hydropower plants on fish communities are usually assessed using taxonomic composition and structure indicators. Size-based indicators are useful tools to evaluate the effects of environmental factors and anthropogenic perturbations on riverine ecosystems. In this study, we investigated the impact of water diversion on fish community body size structure in 16 small hydropower plants in the upper Ter River basin (NE Iberian Peninsula). We tested the use of multiple size-based metrics under different sampling intensities (one- vs. four-pass electrofishing) and compared control vs. diverted stream stretches. Results revealed that water diversion had a negative effect on fish community average and median length, while size spectrum and size diversity metrics showed no responses to the impact. Altitude was positively related with body size metrics and was the strongest natural driver affecting them. Moreover, we found that all the size-based metrics exhibited consistent values under different sampling efforts. Our findings suggest that size-based metrics could be useful indicators for bioassessment of river flow alteration and that one-pass electrofishing was robust enough to characterize the stream fish community size structure in our study.
Dynamic adaptation of phytoplankton vertical migration to changing grazing and nutrient conditions
Authors: Salonen Kalevi , Järvinen Marko , Aalto Taavi , Likolammi Markit , Lindblom Visa , Münster Uwe , Sarvala Jouko
Published: April 2024

Despite the ubiquitous occurrence of vertical migration of phytoplankton its quantitative significance remains poorly known. We eliminated a dense Daphnia population in a pond by introducing whitefish fingerlings, and assessed the effects on the vertical migration of dominating motile phytoplankton. At the highest abundance of Daphnia, cryptophytes reduced grazing losses by staying in the hypolimnion day and night, but Mallomonas species armoured by silica bristles remained in the epilimnion. After the fish introduction, phytoplankton was released from Daphnia grazing pressure, allowing cryptophytes to occur in the epilimnion also at noon. At the same time, increased phytoplankton biomass exacerbated the nutrient depletion. Cryptophytes compensated for that by migrating into the anoxic hypolimnion, whereupon their growth rates increased. The collapse of Daphnia was also associated with a temporary increase in nutrient regeneration by enzyme activities and decreases in total nutrient concentration and bacterial biomass in the whole water column. Our results show that cryptophytes can dynamically modify their vertical migration to balance between the exploitation of various nutrient resources and the risk of becoming eaten. Hypolimnetic nutrient resources can be quantitatively more important for phytoplankton than previously assumed.
Downstream passage performance of silver eel at an angled rack: effects of behavior and morphology
Authors: Motyka Roman , Watz Johan , Aldvén David , Carlsson Niclas , Eissenhauer Felix , Harbicht Andrew , Karathanou Eirini , Knieps Tobias , Lind Lovisa , Calles Olle
Published: April 2024

The European eel is critically endangered due to heavy impact of anthropogenic factors, such as habitat fragmentation, overexploitation and climate change. During downstream migration, silver eels may encounter hydropower plants, which often result in delay or mortality from impingement on trash-racks or turbine passage. These problems can be mitigated with downstream passage solutions, such as angled racks that guide downstream-migrating eels to safe passage routes. The importance of bar spacing and phenotypic diversity for passage performance is, however, largely unknown. In this study, we investigated how morphological parameters (body mass, eye and fin indices) and behavioral score (open field test) influenced passage rate at an experimental intake equipped with a bypass and angled racks with either 15 or 30 mm bar spacing. Both racks were efficient in guiding eels into a bypass. There was a strong positive effect of body mass and a weak positive effect of open field test score on passage rate. Other factors such as eye and fin indices played a minor role. These results demonstrate the performance of angled racks with bypasses and form a useful starting point for further research regarding the relationships between individual variation in behavior, morphology and passage solutions for silver eels.
Brief Report: Quantifying Speech Production Coordination from Non- and Minimally-Speaking Individuals
Authors: Talkar Tanya , Johnson Kristina T. , Narain Jaya , Maes Pattie , Picard Rosalind , Quatieri Thomas F.
Published: April 2024

Purpose

Non-verbal utterances are an important tool of communication for individuals who are non- or minimally-speaking. While these utterances are typically understood by caregivers, they can be challenging to interpret by their larger community. To date, there has been little work done to detect and characterize the vocalizations produced by non- or minimally-speaking individuals. This paper aims to characterize five categories of utterances across a set of 7 non- or minimally-speaking individuals.

Methods

The characterization is accomplished using a correlation structure methodology, acting as a proxy measurement for motor coordination, to localize similarities and differences to specific speech production systems.

Results

We specifically find that frustrated and dysregulated utterances show similar correlation structure outputs, especially when compared to self-talk, request, and delighted utterances. We additionally witness higher complexity of coordination between articulatory and respiratory subsystems and lower complexity of coordination between laryngeal and respiratory subsystems in frustration and dysregulation as compared to self-talk, request, and delight. Finally, we observe lower complexity of coordination across all three speech subsystems in the request utterances as compared to self-talk and delight.

Conclusion

The insights from this work aid in understanding of the modifications made by non- or minimally-speaking individuals to accomplish specific goals in non-verbal communication.
EMT en Español Para Autismo: A Collaborative Communication Intervention Approach and Single Case Design Pilot Study
Authors: Pak Natalie S. , Peredo Tatiana Nogueira , Madero Ucero Ana Paula , Kaiser Ann P.
Published: April 2024

The primary purpose of the current pilot study was to test the effects of an adapted and collaborative intervention model with a systematic teaching approach on Latina Spanish-speaking caregivers’ use of EMT en Español Para Autismo strategies with their young children on the autism spectrum. A multiple baseline across behaviors single case design was replicated across two dyads. A series of family interviews and a direct therapist-child intervention phase supported individualization of the intervention. Families were provided speech generating devices as part of their children’s intervention protocol. Caregivers were taught to use EMT en Español Para Autismo strategies with aided language input. Strategies included contingent target-level and proximal target-level language modeling, linguistic expansions, and communication elicitations. Secondary variables measured included generalization of strategy use to unsupported interactions and at a 2-month follow-up, child communication outcomes, and social validity. There was a strong functional relation for one dyad between the adapted and collaborative intervention and caregiver use of EMT strategies. The functional relation was weakened by behavioral covariation for the other dyad. Children increased the quantity and diversity of their communication during the study. Caregivers generalized their use of most EMT strategies and reported most aspects of the approach to be socially valid. The current study provides an initial demonstration of an effective model for adaptation and individualization of naturalistic developmental behavioral interventions for Latino Spanish-speaking families with children on the autism spectrum.
Applicability and Psychometric Properties of General Mental Health Assessment Tools in Autistic People: A Systematic Review
Authors: Halvorsen Marianne Berg , Kildahl Arvid Nikolai , Kaiser Sabine , Axelsdottir Brynhildur , Aman Michael G. , Helverschou Sissel Berge
Published: April 2024

In recent years, there has been a proliferation of instruments for assessing mental health (MH) among autistic people. This study aimed to review the psychometric properties of broadband instruments used to assess MH problems among autistic people. In accordance with the PRISMA guidelines (PROSPERO: CRD42022316571) we searched the APA PsycINFO via Ovid, Ovid MEDLINE, Ovid Embase and the Web of Science via Clarivate databases from 1980 to March 2022, with an updated search in January 2024, to identify very recent empirical studies. Independent reviewers evaluated the titles and abstracts of the retrieved records (n = 11,577) and full-text articles (n = 1000). Data were extracted from eligible studies, and the quality of the included papers was appraised. In all, 164empirical articles reporting on 35 instruments were included. The review showed variable evidence of reliability and validity of the various instruments. Among the instruments reported in more than one study, the Aberrant Behavior Checklist had consistently good or excellent psychometric evidence. The reliability and validity of other instruments, including: the Developmental Behavior Checklist, Emotion Dysregulation Inventory, Eyberg Child Behavior Inventory, Autism Spectrum Disorder-Comorbid for Children Scale, and Psychopathology in Autism Checklist, were less documented. There is a need for a greater evidence-base for MH assessment tools for autistic people.
Sensory Profile-2 in Autism Spectrum Disorder: An Analysis within the International Classification of Functioning, Disability and Health Framework
Authors: Marcilla-Jorda Marta , Grande Catarina , Coelho Vera , Rubio-Belmonte César , Moro-Ipola Micaela
Published: April 2024

Autism spectrum disorder (ASD) is characterized by impairments in many functional areas requiring long-term interventions to promote autonomy. This study aims to map The Sensory Profile™ 2 (SP-2), one of the most widely used assessment tools in children with ASD, with the International Classification of Functioning, Disability and Health for Children and Youth (ICF-CY), developed by the World Health Organization (WHO). This will allow the identification of the functional dimensions covered by this instrument and the comparison with the ICF shortlist proposed for autism (ICF Core Set [ICF-CS]). The deductive content analysis described in the ICF Linking Rules was followed, along with a systematized process including statistical and reasoning techniques that could contribute to the improvement of ICF linking studies (Cohen’s Kappa and percentage of agreement). 218 codes were identified, 71% of them were codes related to the body functions chapters, mainly linked to perceptual functions (b160), emotional functions (b152), and temperament and personality functions (b126). Concerning activities and participation chapters (29%) the most frequently used codes were: focusing attention (d160), carrying out daily routine (d230), and walking (d450). Even though the SP-2 items do not assess most of the functional features regarded as essential in the ASD ICF-CS, SP-2 encompasses a majority of problems concerning body functions. This instrument may be considered as part of a multidimensional assessment approach, to complement other sources that are more likely to assess activity and participation dimensions and guide a functional intervention.
Identifying insect and arachnid indicator taxa for impacts and management in coastal landscapes
Authors: Elliott Brittany B. , Shapcott Alison , Henderson Christopher J. , Olds Andrew D. , Gilby Ben L.
Published: April 2024

Insects and arachnids are abundant and diverse, respond to key human impacts and support a diversity of key ecological functions. They are therefore widely recognised as effective surrogates for ecosystem condition. Their efficacy as indicators and surrogates in coastal dunes has, however, rarely been quantified, but might be instructive in guiding management in these often highly impacted coastal ecosystems. In this study, we (1) tested the effects of spatial and habitat drivers on the abundance of key insect and arachnid groups, and (2) used these patterns to identify viable management surrogates for impacts and management actions. We surveyed insect, arachnid and plant assemblages in coastal dunes at 20 sites on the Sunshine Coast in central eastern Australia. We have identified indicators for habitat condition and indicators for impact, and taxa that could be used to measure restoration outcomes. Crucially, five indicator groups also met criteria for being umbrella species, as management actions that increase their abundance would confer benefits to most other insect and arachnid taxonomic groups. We identified seven indicator groups (five insect and two arachnid), and each were affected by multiple spatial and habitat metrics, with metrics quantifying the composition and structure of vegetation communities being the most important predictors of most indicator’s distributions. Implications for insect conservation: We highlight the importance of understanding subtleties in spatial patterns and the unique set of spatial and environmental conditions that each group requires when identifying suitable indicator taxa for use in the conservation and management of coastal dunes.
CircDiaph3 aggravates H/R-induced cardiomyocyte apoptosis and inflammation through miR-338-3p/SRSF1 axis
Authors: Lin Lin , Wang Li , Li Aimin , Li Yanzhuo , Gu Xiaolong
Published: April 2024

Acute myocardial infarction (AMI) is one of the most prevalent cardiovascular diseases, accounting for a high incidence rate and high mortality worldwide. Hypoxia/reoxygenation (H/R)-induced myocardial cell injury is the main cause of AMI. Several studies have shown that circular RNA contributes significantly to the pathogenesis of AMI. Here, we established an AMI mouse model to investigate the effect of circDiaph3 in cardiac function and explore the functional role of circDiaph3 in H/R-induced cardiomyocyte injury and its molecular mechanism. Bioinformatics tool and RT-qPCR techniques were applied to detect circDiaph3 expression in human patient samples, heart tissues of AMI mice, and H/R-induced H9C2 cells. CCK-8 was used to examine cell viability, while annexin-V/PI staining was used to assess cell apoptosis. Myocardial reactive oxygen species (ROS) levels were detected by immunofluorescence. Western blot was used to detect the protein expression of anti-apoptotic Bcl-2 while pro-apoptotic Bax and cleaved-Caspase-3. Furthermore, ELISA was used to detect inflammatory cytokines production. While bioinformatics tool and RNA pull-down assay were used to verify the interaction between circDiaph3 and miR-338-3p. We found that circDiaph3 expression was high in AMI patients and mice, as well as in H/R-treated H9C2 cells. CircDiaph3 silencing ameliorated apoptosis and inflammatory response of cardiomyocytes in vivo. Moreover, the knockdown of cirDiaph3 mitigated H/R-induced apoptosis and the release of inflammatory mediators like IL-1β, IL-6, and TNF-α in H9C2 cells. Mechanistically, circDiaph3 induced cell apoptosis and inflammatory responses in H/R-treated H9C2 cells by sponging miR-338-3p. Overexpressing miR-338-3p in H/R-treated cells prominently reversed circDiaph3-induced effects. Notably, miR-338-3p inhibited SRSF1 expression in H/R-treated H9C2 cells. While overexpressing SRSF1 abrogated miR-338-3p-mediated alleviation of apoptosis and inflammation after H/R treatment. To summarize, circDiaph3 aggravates H/R-induced cardiomyocyte apoptosis and inflammation through the miR-338-3p/SRSF1 axis. These findings suggest that the circDiaph3/miR-338-3pp/SRSF1 axis could be a potential therapeutic target for treating H/R-induced myocardial injury.
Air-Coupled Broadband Impact-Echo Actuation Using Supersonic Jet Flow
Authors: Strangfeld Christoph , Grotelüschen Bjarne , Bühling Benjamin
Published: April 2024

The impact-echo method (IE) is a non-destructive testing method commonly used in civil engineering. We propose a completely new approach for air-coupled actuation based on supersonic jet flow. The impinging jet sound generates continuously high sound pressures with a broad frequency bandwidth. This novel concept of utilising aeroacoustic sound for air-coupled IE was evaluated on two concrete specimens and validated using a classical IE device with physical contact. The results show a high agreement with the expected frequencies. Delaminations are correctly detected in depth and size. This proves the high reliability of air-coupled IE based on supersonic jet flow.

Graphic abstract
Starch-Grafted Polyacrylic Acid Copolymer with Acrylamide: An Advanced Adsorbent for Victoria Green B Dye Removal and Environmental Remediation
Authors: Khan Iffat Ayesha , Haq Fazal , Osman Ahmed I. , Kiran Mehwish , Hashim Mehreen , Mehmood Sahid , Ullah Muhammad Wajid
Published: April 2024

A new adsorbent, starch grafted polyacrylic acid copolymer with polyacrylamide (SG@AA-co-AM), was synthesized using free radical polymerization techniques. Proton nuclear magnetic resonance (1H NMR), Fourier-transform infrared spectrophotometry (FTIR), X-ray diffraction analysis (XRD), thermogravimetric analysis (TGA), scanning electron microscopy (SEM), particle size distribution (PSD), and fluorescent electron microscopy (FEM) were employed to elucidate the structure, crystalline nature, thermal stability, and surface morphology of SG@AA-co-AM. SG@AA-co-AM was utilized as an adsorbent for the removal of Victoria green B (VGB) dye from wastewater. SG@AA-co-AM exhibited a removal percentage (% R) of 97.6% towards VGB under optimized conditions: a contact time of 30 min, temperature of 25 °C, adsorbent dose of 20 mg, pH of 8, concentration of dye solution of 20 ppm, and volume of dye solution of 30 mL. The point of zero charge (PZC) for SG@AA-co-AM was determined to be 5.2. Nonlinear pseudo-second-order (PSO) and Langmuir adsorption isotherm models best fitted to the experimental data, with regression coefficients (R2) of 0.95 and 0.99, respectively. The results confirmed the chemi-sorption and monolayer adsorption of VGB onto SG@AA-co-AM. Thermodynamic studies revealed that the adsorption of VGB onto SG@AA-co-AM is endothermic and spontaneous. Furthermore, the regeneration experiment showed a decline of 3.9% after five cycles, confirming the economical and reusable nature of SG@AA-co-AM.
The structural power of reconfigurable circuits in the amoebot model
Authors: Padalkin Andreas , Scheideler Christian , Warner Daniel
Published: April 2024

The amoebot model (Derakhshandeh et al. in: SPAA ACM, pp 220–222. https://doi.org/10.1145/2612669.2612712, 2014) has been proposed as a model for programmable matter consisting of tiny, robotic elements called amoebots. We consider the reconfigurable circuit extension (Feldmann et al. in J Comput Biol 29(4):317–343. https://doi.org/10.1089/cmb.2021.0363, 2022) of the geometric amoebot model that allows the amoebot structure to interconnect amoebots by so-called circuits. A circuit permits the instantaneous transmission of signals between the connected amoebots. In this paper, we examine the structural power of the reconfigurable circuits. We start with fundamental problems like the stripe computation problem where, given any connected amoebot structure S, an amoebot u in S, and some axis X, all amoebots belonging to axis X through u have to be identified. Second, we consider the global maximum problem, which identifies an amoebot at the highest possible position with respect to some direction in some given amoebot (sub)structure. A solution to this problem can be used to solve the skeleton problem, where a cycle of amoebots has to be found in the given amoebot structure which contains all boundary amoebots. A canonical solution to that problem can be used to come up with a canonical path, which provides a unique characterization of the shape of the given amoebot structure. Constructing canonical paths for different directions allows the amoebots to set up a spanning tree and to check symmetry properties of the given amoebot structure. The problems are important for a number of applications like rapid shape transformation, energy dissemination, and structural monitoring. Interestingly, the reconfigurable circuit extension allows polylogarithmic-time solutions to all of these problems.
Determinants of irregular demand for regional rail passenger services – case study of High Tatras in Slovakia
Authors: Kendra Martin , Blažeková Oľga , Vojteková Mária
Published: April 2024

The demand for public transport by tourists increases significantly in tourist-attractive destinations. This is in addition to regular passengers commuting to school and work. The level of irregular demand is influenced by several factors related to the characteristics of the day of the week, the period of the year, and the current weather. The main goal of the paper is to verify which factors most influence the irregular demand for transport in a tourist-attractive area to ensure operational planning of public passenger transport. Thanks to this, it is possible to ensure sufficient capacity and, at the same time, the efficiency of the operation of public passenger transport. The paper analyzes the main determinants of the irregular demand for regional public rail passenger transport in the High Tatras region of Slovakia. Multiple linear regressions were used to model the number of irregular passengers. The variables representing the day of the week, the attractiveness of the period, and the holiday were found to be the most significant. The variables describing the weather such as maximum daily temperature, precipitation, clouds, and wind had less influence. The obtained mathematical models for forecasting the irregular demand for public passenger transport can help optimize the timetable’s operational setting and the train sets’ size.
Pitfalls in the lab assessment of hypopituitarism
Authors: Schilbach Katharina , Bidlingmaier Martin
Published: April 2024

The diagnostic approach to hypopituitarism involves many disciplines. Clinical symptoms rarely are specific. Imaging techniques are helpful but cannot prove the specific functional defects. Therefore, the definitive diagnosis of pituitary insufficiency is largely based on laboratory tests. However, also laboratory methods come with inherent limitations, and it is essential for the clinician to know and recognize typical pitfalls. Most factors potentially impairing the quality of hormone measurements are introduced in the preanalytical phase, i.e. before the hormones are measured by the laboratory. For example, the timing of blood drawing with respect to circadian rhythm, stress, and medication can have an influence on hormone concentrations. During the actual analysis of the hormones, cross-reactions with molecules present in the sample presenting the same or similar epitopes than the intended analyte may affect immunoassays. Interference can also come from heterophilic or human anti-animal antibodies. Unexpected problems can also be due to popular nutritional supplements which interfere with the measurement procedures. An important example in this respect is the interference from biotin. It became only clinically visible when the use of this vitamin became popular among patients. The extreme serum concentrations reached when patients take it as a supplement can lead to incorrect measurements in immunoassays employing the biotin-streptavidin system. To some extent, hormone analyses using liquid chromatography mass spectrometry (LCMS) can overcome problems, although availability and cost-effectiveness of this method still imposes restrictions. In the post-analytical phase, appropriateness of reference intervals and cut-offs with respect to the specific analytical method used is of outmost importance. Furthermore, for interpretation, additional biological and pharmacological factors like BMI, age and concomitant diseases must be considered to avoid misinterpretation of the measured concentrations. It is important for the clinician and the laboratory to recognize when one or more laboratory values do not match the clinical picture. In an interdisciplinary approach, the search for the underlying cause should be initiated.
Assessing Water Management Strategies in Data-Scarce Mountain Regions under Uncertain Climate and Socio-Economic Changes
Authors: Muñoz R. , Vaghefi S. A. , Drenkhan F. , Santos M. J. , Viviroli D. , Muccione V. , Huggel C.
Published: April 2024

Water management in mountainous regions faces significant challenges due to deep uncertainties arising from data scarcity, knowledge gaps, and the complex interplay of climate and socio-economic changes. While existing approaches focused on uncertainty reduction and water system optimization contribute to managing uncertainties, they often require probability distributions that can be difficult to obtain in data-scarce mountain regions. To address these challenges, we demonstrate the effectiveness of Exploratory Modeling and Analysis (EMA) in assessing water management strategies and identifying operational ranges that avoid future water scarcity. Through a case study in the complex and data-scarce Peruvian Andes, we employed EMA to run 12,000 simulations by 2050, incorporating deep uncertainties from climate and socio-economic scenarios, and hydrological modeling parameters. This analysis identified specific policy combinations demonstrating greater robustness across diverse scenarios and uncertainties. EMA explicitly identifies operational ranges of policies to avoid water scarcity but also highlights the conditions that might trigger policy failure. We also delve into the roles of the different factors used in EMA and their significance in water management applications. Our research illustrates that an exploratory hydrological modeling approach based on robust decision-making can foster a more informed decision-making process for long-term water adaptation in rapidly changing mountain regions under data scarcity and deep uncertainties.
Recent advances in the use of Trichoderma-containing multicomponent microbial inoculants for pathogen control and plant growth promotion
Authors: Kredics László , Büchner Rita , Balázs Dóra , Allaga Henrietta , Kedves Orsolya , Racić Gordana , Varga András , Nagy Viktor Dávid , Vágvölgyi Csaba , Sipos György
Published: April 2024

Chemical pesticides and fertilizers are used in agricultural production worldwide to prevent damage from plant pathogenic microorganisms, insects, and nematodes, to minimize crop losses and to preserve crop quality. However, the use of chemical pesticides and fertilizers can severely pollute soil, water, and air, posing risks to the environment and human health. Consequently, developing new, alternative, environment-friendly microbial soil treatment interventions for plant protection and crop yield increase has become indispensable. Members of the filamentous fungal genus Trichoderma (Ascomycota, Sordariomycetes, Hypocreales) have long been known as efficient antagonists of plant pathogenic microorganisms based on various beneficial traits and abilities of these fungi. This minireview aims to discuss the advances in the field of Trichoderma-containing multicomponent microbiological inoculants based on recent experimental updates. Trichoderma strains can be combined with each other, with other fungi and/or with beneficial bacteria. The development and field performance of such inoculants will be addressed, focusing on the complementarity, synergy, and compatibility of their microbial components.
The use of honey bees (Apis mellifera L.) to monitor airborne particulate matter and assess health effects on pollinators
Authors: Papa Giulia , Pellecchia Marco , Capitani Giancarlo , Negri Ilaria
Published: April 2024

The honey bee Apis mellifera has long been recognized as an ideal bioindicator for environmental pollution. These insects are exposed to pollutants during their foraging activities, making them effective samplers of environmental contaminants, including heavy metals, pesticides, radionuclides, and volatile organic compounds. Recently, it has been demonstrated that honey bees can be a valuable tool for monitoring and studying airborne PM pollution, a complex mixture of particles suspended in the air, known to have detrimental effects on human health. Airborne particles attached to the bees can be characterised for their morphology, size, and chemical composition using a scanning electron microscopy coupled with X-ray spectroscopy, thus providing key information on the emission sources of the particles, their environmental fate, and the potential to elicit inflammatory injury, oxidative damage, and other health effects in living organisms. Here, we present a comprehensive summary of the studies involving the use of honey bees to monitor airborne PM, including the limits of this approach and possible perspectives. The use of honey bees as a model organism for ecotoxicological studies involving pollutant PM is also presented and discussed, further highlighting the role of the bees as a cornerstone of human, animal, and environmental health, according to the principles of the “One Health” approach.
Pyrolysis, a recovery solution to reduce landfilling of residual organic waste generated from mixed municipal waste
Authors: Graça Jessica , Kwapinska Marzena , Murphy Brian , Duggan Tim , Leahy James J. , Kelleher Brian
Published: April 2024

Despite policies to restrict the mixing of organic waste with other general waste and improve its separation at source, municipal solid waste still contains a high proportion of organic waste. The residual organic waste is generated as a by-product of the mechanical treatment of municipal solid waste (MSW) and is mainly disposed in landfills after composting. Its reuse and recovery status varies across European countries. Most countries restrict the use of biostabilised residual waste (BSRW) to landfill cover, whereas others have regulated it as marketable compost. Crucially, BSRW is set to lose its “recycled” status under the revised European Union waste framework, with probably tighter restrictions and increased costs imposed for the landfilling of organic waste. Our research aimed to investigate pyrolysis as an alternative technology to treat the 10–40 mm fraction of BSRW (representing 50% of BSRW generated). Pyrolysis at 700 °C was carried out and feedstock and pyrolysis products were characterized. Mass and energy balances showed that pyrolysis produced hot vapour/gas whose combustion may render the pyrolysis process energetically sustainable. Biochar comprises 30–50% of BRSW mass after removal of glass, metal and stones. Our results indicate that pyrolysis has the potential to create options for contributing to reduce the landfilling of BSRW; however, the presence of residual impurities may limit biochar applications.
Treatment of anaerobically digested pig manure by applying membrane processes for nutrient recovery and antibiotics removal
Authors: Proskynitopoulou Vera , Vourros Anastasios , Garagounis Ioannis , Toursidis Panagiotis Dimopoulos , Lorentzou Souzana , Kougias Panagiotis , Zouboulis Anastasios , Panopoulos Kyriakos D.
Published: April 2024

A combination of membrane processes was applied to treat the digestate produced after the anaerobic treatment of pig manure in a biogas plant, aiming towards the recovery of nutrients and effective water treatment for potential reuse. Initially, coarse filtration (sieving and microfiltration) was used to remove particles larger than 1 µm, followed by ultrafiltration, to reduce the suspended solids concentrations below 1 g/L. Subsequently, selective electrodialysis is employed to recover the main nutrient ions, primarily ammonium and potassium. The ion-depleted digestate is then fed to a reverse osmosis unit, where clean water was recovered, yielding a by-product (concentrate) stream enriched in phosphates and organics content. The presence of antibiotics and the concentrations of heavy metals were monitored during all treatment stages to assess their behavior/removal in the various membrane processes. The results indicate that almost 51% of the digestate could be recovered as water free from ions and antibiotics, suitable for reuse in the biogas plant for process needs and irrigation purposes. The selective electrodialysis process can recover 51% of initial NH4+ content (corresponding to 96% of the electrodialysis feed), while the remainder largely ended up in the ultrafiltration concentrate. A similar behavior was observed for the case of K+, while approximately 68% of the phosphates content was retained by the coarse filtration process, with another 24% remaining in the ultrafiltration concentrate and the remaining 8% in the reverse osmosis concentrate. Most of the antibiotics and heavy metals were retained by the coarse and ultrafiltration steps, with smaller amounts detected in the reverse osmosis concentrate.
A Longitudinal Study of the Effect of Memory on the Quality of life of European Adults and Older Adults
Authors: Fernández Irene , Sansó Noemí , Tomás José M.
Published: April 2024

Among studies conceptualizing quality of life (QoL) as the subjective measure of one’s well-being, evidence suggests a link between cognitive impairment and diminished quality of life. However, the direction of the association is not clear, and most studies have employed a global measure of cognition, which can mask subtle domain-specific declines. In this study, we aim at examining the longitudinal associations between memory and QoL in a representative sample of adults and older adults in Europe and Israel, employing data from the Survey of Health, Ageing and Retirement in Europe (SHARE). The sample was composed by 56,616 respondents aged 50 or older at the beginning of the study period. A Parallel-Process Latent Growth Model (PP LGM) of memory and QoL conditioned on the effects of age, gender, educational level, physical inactivity, depressive symptomatology and social activity participation, was tested. Results displayed a trajectory of decline for both memory and QoL, with higher initial levels of memory associated with higher initial levels of QoL, and steeper decline in memory associated with steeper decline in QoL. Moreover, a positive effect of initial memory onto QoL trend over time was found, indicating that better memory is associated to better QoL in the future, but the opposite did not occur. Results also provide evidence of gender differences. All in all, this work found evidence supporting the longitudinal effect of memory on QoL, which may have consequences for intervention implementation, given that actions for alleviating age-related memory impairment could also have a positive impact onto older adults’ QoL.
Higher Education Faculty Perceptions of ChatGPT and the Influencing Factors: A Sentiment Analysis of X
Authors: Mamo Yoseph , Crompton Helen , Burke Diane , Nickel Christine
Published: April 2024

ChatGPT, an AI chatbot developed by OpenAI, was released in November 2022, sparking a significant surge in global awareness and utilization of generative AI across various domains. Although recent studies have acknowledged the significance of ChatGPT in the education sector, they have yet to focus on exploring faculty attitudes toward ChatGPT. We gathered a comprehensive corpus of tweets containing “#ChatGPT” and “#highered” between November 30th, 2022, and April 30th, 2023. We analyzed data by triangulating VADER, NRC lexicon, and ground coding. Findings suggest that 40% of the expressed sentiments were positive, 51% were neutral, and 9% were negative. The study also revealed the diverse range of emotions held by higher education faculty regarding ChatGPT, with trust and joy being the most prevalent positive sentiments and fear and anger being the most prevalent negative sentiments. This study shed light on faculty members’ perceptions of ChatGPT, contributing to a better understanding of the impact, emotions, and incorporation of ChatGPT in the higher education sector.
Who adjusts? Exchange rate regimes and finance versus labor under IMF programs
Authors: Metinsoy Saliha
Published: April 2024

Who adjusts under International Monetary Fund (IMF) programs and why? In this paper, I demonstrate that labor groups adjust when there is a fixed exchange rate regime and international financial groups are strong enough to defend the peg. In that case, the Fund substitutes currency devaluation with lowering labor costs via labor market reform. Lower wages are used to increase competitiveness and support exports. In other words, the Fund makes labor ‘cheaper’ through its labor market reform when money cannot be made ‘cheaper’ due to strong international financial interests. To test this theory, I use a mixed-method approach. I complement the case comparison of Latvia and Hungary in 2008–two very similar cases except for their exchange rate regime and the influence of international finance on their economy–with a large-N study using a global sample of IMF borrowers over the years 1989 and 2014. The paper shows that international organizations such as the IMF might amplify the voice of the strong (financial interests) while making the ‘weak’ (labor groups) weaker via their conditionality.
Some improvements on generalized reversed aging intensity functions
Authors: Buono Francesco , Longobardi Maria , Szymkowiak Magdalena
Published: April 2024

Recently, the generalized reversed aging intensity functions have been studied in the literature revealing to be a tool to characterize distributions, under suitable conditions. In this paper, some improvements on these functions are given and the relation between two cumulative distribution functions leading to the same generalization is studied. In particular, a link with the two-parameters Weibull distributions is found and a new stochastic order is defined in terms of the generalized reversed aging intensity. This order is strictly related to the definition of extropy, that is the dual measure of entropy, and some connections with well-known stochastic orders are analyzed. Finally, the possibility of introducing the concept of generalized aging intensity is studied also in terms of cumulative distribution functions with non-positive support.
Affine optimal k-proper connected edge colorings
Authors: Barish Robert D. , Shibuya Tetsuo
Published: April 2024

We introduce affine optimal
k-proper connected edge colorings as a variation on Fujita’s notion of optimal
k-proper connected colorings (Fujita in Optim Lett 14(6):1371–1380, 2020. https://doi.org/10.1007/s11590-019-01442-9) with applications to the frequency assignment problem. Here, for a simple undirected graph G with edge set

$$E_G$$

E
G

, such a coloring corresponds to a decomposition of

$$E_G$$

E
G

into color classes

$$C_1, C_2, \ldots , C_n$$

C
1

,

C
2

,
…
,

C
n

, with associated weights

$$w_1, w_2, \ldots , w_n$$

w
1

,

w
2

,
…
,

w
n

, minimizing a specified affine function

$${\mathcal {A}}\, {:=}\,\sum _{i=1}^{n} \left( w_i \cdot |C_i|\right)$$

A

:
=

∑

i
=
1

n

w
i

·

|

C
i

|

, while also ensuring the existence of k vertex disjoint proper paths (i.e., simple paths with no two adjacent edges in the same color class) between all pairs of vertices. In this context, we define

$$\zeta _{{\mathcal {A}}}^k(G)$$

ζ

A

k

(
G
)

as the minimum possible value of

$${\mathcal {A}}$$

A

under a k-proper connectivity requirement. For any fixed number of color classes, we show that computing

$$\zeta _{{\mathcal {A}}}^k(G)$$

ζ

A

k

(
G
)

is treewidth fixed parameter tractable. However, we also show that determining

$$\zeta _{{\mathcal {A}}^{\prime }}^k(G)$$

ζ

A

′

k

(
G
)

with the affine function

$${\mathcal {A}}^{\prime } \, {:=}\,0 \cdot |C_1| + |C_2|$$

A

′

:
=

0
·
|

C
1

|
+
|

C
2

|

is NP-hard for 2-connected planar graphs in the case where

$$k = 1$$

k
=
1

, cubic 3-connected planar graphs for

$$k = 2$$

k
=
2

, and k-connected graphs

$$\forall k \ge 3$$

∀
k
≥
3

. We also show that no fully polynomial-time randomized approximation scheme can exist for approximating

$$\zeta _{{\mathcal {A}}^{\prime }}^k(G)$$

ζ

A

′

k

(
G
)

under any of the aforementioned constraints unless

$$NP=RP$$

N
P
=
R
P

.
Phase I/II study of stereotactic body radiotherapy boost in patients with cervical cancer ineligible for intracavitary brachytherapy
Authors: Ito Kei , Nakajima Yujiro , Ogawa Hiroaki , Furusawa Akiko , Murofushi Keiko Nemoto , Kito Satoshi , Kino Nao , Yasugi Toshiharu , Uno Takashi , Karasawa Katsuyuki
Published: April 2024

Purpose

Stereotactic body radiotherapy (SBRT) boost is a promising treatment for cervical cancer patients who are ineligible for intracavitary brachytherapy (ICBT). The aim of this multicenter, single-arm, phase I/II study was to prospectively evaluate the efficacy and toxicity of SBRT boost.

Materials and methods

ICBT-ineligible patients with untreated cervical cancer were enrolled. Patients underwent whole-pelvic radiotherapy (45 Gy in 25 fractions) with SBRT boost to the primary lesion. In the phase I dose-escalation cohort (3 + 3 design), patients were treated with SBRT boost of 21 or 22.5 Gy in three fractions. Although dose-limiting toxicity was not confirmed, a dose of 21 Gy was selected for the phase II cohort because it was difficult to reproduce the pelvic organs position in two patients during the phase I trial. The primary endpoint was 2-year progression-free survival.

Results

Twenty-one patients (phase I, n = 3; phase II, n = 18) were enrolled between April 2016 and October 2020; 17 (81%) had clinical stage III–IV (with para-aortic lymph node metastases) disease. The median (range) follow-up was 40 (10–84) months. The initial response was complete response in 20 patients and partial response in one patient. The 2-year locoregional control, progression-free survival, and overall survival rates were 84%, 67%, and 81%, respectively. Grade ≥ 3 toxicity was confirmed in one patient each in the acute (diarrhea) and late (urinary tract obstruction) phases.

Conclusion

These findings suggested that a SBRT boost is more effective than the conventional EBRT boost and can be an important treatment option for ICBT-ineligible patients with cervical cancer.

Study registration

This study was registered at the University Hospital Medical Information Network Clinical Trials Registry (UMIN000036845).
Adapting support vector optimisation algorithms to textual gender classification
Authors: Gomez Javier , Alfaro Cesar , Ortega Felipe , Moguerza Javier M. , Algar Maria Jesus , Moreno Raul
Published: April 2024

In this paper, we focus on the problem of determining the gender of the person described in a biographical text. Since support vector machine classifiers are well suited for text classification tasks, we present a new stopping criterion for support vector optimisation algorithms tailored to this problem. This new approach exploits the geometric properties of the vector representation of such content. An experiment on a set of English and Spanish biographical articles retrieved from Wikipedia illustrates this approach and compares it to other machine learning classification algorithms. The proposed method allows real-time classification algorithm training. Moreover, these results confirm the advantage of leveraging additional gender information in strongly inflected languages, like Spanish, for this task.