bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Role of Resilience in Social Services During the COVID-19 Pandemic
Authors: Jindra Ines W. , Graves Darci M. 
Published: June 2024

AbstractResilience is considered a significant concept in research on a variety of topics at the individual, organizational, and community levels. In this qualitative, grounded theory study based on 20 semi-structured interviews, we discuss a set of factors that emerged as contributing to resilience among social service providers working with homeless or homeless-adjacent vulnerable populations during the COVID-19 pandemic. This article specifically addresses the variation in resilience that emerged between providers in the face of these pandemic-related challenges. We found that the following four factors, in interaction with each other, influenced the degree of provider resilience: Restrictions providers had to implement to keep clients safe and associated feelings of guilt and helplessness, outbreaks and losses affecting the organization and its staff during the pandemic, isolation from the community, clients, and fellow staff, and existing vulnerabilities, such as personal struggles with mental health or complicated family situations. The article also discusses the implications of these findings for future research and social work practice.
When urbanization and natural ecosystems collide: governance model to manage a mangrove ecosystem in a dual city
Authors: Sánchez-Rubio Fernando , Saldarriaga-Isaza Adrián , Sánchez-Rubio Guillermo 
Published: June 2024

AbstractThis paper aims to describe the process of constructing and implementing a governance model for a mangrove ecosystem located along two waterways within a touristic city (Cartagena de Indias, Colombia). This city has symptoms of rapid and unplanned urbanization, weak governability, and social exclusion. All of those factors were considered when the governance model was developed. During its implementation, three stakeholders negotiated in good faith until a sustainable productive project was identified. This project fits well with the characteristics of the mangrove ecosystem and the city. The model is structured around six strategies within three lines of action. A list of measurable indicators is also proposed to quantify the effectiveness of the model during its implementation. Finally, caveats and key challenges to the model’s implementation are further discussed.
‘Teleological Mechanics of the Mind’: Herbart and Lipps on Tendency
Authors: Schmidt Philipp 
Published: June 2024

AbstractThis article sheds light on a today mostly forgotten though highly influential thinker: Theodor Lipps. It explores the notion of ‘tendency’ in his work, a hitherto insufficiently examined yet central concept of the Munich philosopher. More specifically, the paper examines how Lipps utilizes the term to describe important structures of experience. By illuminating the various ways in which Lipps refers to tendencies, it aims to reconstruct important pillars of his theory of experience. This theory emphasizes that experience has a teleological character, striving towards the complete determination and realization of the objects as they are represented (vorgestellt) in our experience. As will be shown, the description of different tendencies serves Lipps to conceptualize the laws that govern the related dynamics of our psychic life and to distinguish and examine the diverse range of conscious phenomena within it. To unveil the core ideas that guide Lipps’s development of his proposal, the article will first identify and reconstruct the primary source for his philosophical analysis of the mind’s motions: the metaphysics of Johann Friedrich Herbart. Subsequently, Lipps’s critical examination of Herbart’s proposal will be presented. This discussion will serve as a backdrop to illustrate how Lipps integrates Herbartian themes, reformulates related concepts, and ultimately develops his unique understanding of tendency and its roles in experience. By delving into his comprehensive analysis of tendencies, it will be argued that Lipps offers a version of Herbartianism.
Exploring epipelic diatom species composition across wetlands conductivity gradients in southern Spain
Authors: Fernández-Moreno David , Delgado Cristina , González-Paz Lorena , Blanco Saúl , Sánchez-Castillo Pedro M. , Pérez-Martínez Carmen 
Published: June 2024

AbstractThe objective of this study was to explore the environmental factors having the greatest influence on the distribution and abundance of epipelic diatom species in different wetlands in southern Spain. We previously defined four groups of conductivity categories: fresh (< 0.8 mS cm−1), oligosaline (< 8 mS cm−1), mesosaline (8–30 mS cm−1) and eusaline (> 30 mS cm−1). A dbRDA analysis performed on a subset of 36 of the 53 wetlands, using a total of 25 environmental variables, showed that five environmental variables (conductivity, pH, wetland area, silicates, and total suspended solids) were the best explanatory variables for the diatom assemblage, with conductivity being the main explanatory variable. Nonmetric multidimensional scaling (nMDS) analysis performed on the set of 53 wetlands revealed significant differences in diatom composition among the four conductivity groups. The key species in the eusaline group were Tryblionella pararostrata, Halamphora sp.1 and Cocconeis euglypta, whereas in the mesosaline and oligosaline group, these were Navicula veneta, Tryblionella hungarica and Nitzschia inconspicua. Finally, in the fresh group dominated Achnanthidium minutissimum, Navicula veneta and Gomphonema exilissimum. This study on epipelic diatoms can therefore contribute to the knowledge of these organisms in a European region with a high diversity of wetland typologies.
Biocompatibility of nano/micro-sized pyrophyllite particles by pulmo, liver, kidney and gastric mucosis cells
Authors: Paraš Smiljana , Paspalj Jovana , Baghdad Karima , Janković Ognjenka , Škrbić Ranko , Gajanin Radoslav , Massiani Pascale , Launay Franck , Gotovac Atlagić Suzana 
Published: June 2024

AbstractPyrophyllite is the least studied natural clay in terms of its potential in biomedical applications, although there are many deposits of this aluminosilicate around the world. Genotoxicity study was performed in vitro for this mineral. Subsequently, Wister rats were exposed to the pyrophyllite micronized to below 100 µm. After the exposure period, histology of the lung, liver, kidney and gastric tissues were performed, followed by the stereological and hematological analysis. The physicochemical analyses revealed typical XRD characteristics of pyrophyllite clay with particle-size distribution ranging 50 nm–100 μm with stable mineral composition and unique buffering property to pH around 8. The results showed that there were no cytotoxic effects on to THP-1 cells, or genotoxicity of pyrophyllite measured by the Comet assay. In vivo studies are accompanied by the thorough physicochemical characterization of the micronized pyrophyllite. Histology of the lung tissue proved presence of an inflammatory reaction. On the other hand, gastric tissue has shown the selective accumulation of nanoparticles in enterocytes of the stomach only, as supported by ultrastructural analysis. Liver and kidney tissues have shown tolerability for pyrophyllite particles. The results give directions for further comprehensive studies of potential biomedical applications of the pyrophyllite.
Polyplatinaynes Functionalized with Pyrazoline Derivatives
Authors: Wang Qiwei , Jiang Lu , Li Junlong , Sun Zelin , Wong Wai-Yeung 
Published: June 2024

AbstractPyrazoline and pyrazole compounds are important building blocks in the development of photofunctional compounds. Two new solution-processable platinum-containing polyynes functionalized with these chromophores in the main chain (P1 and P2) were synthesized and characterized by spectroscopic, thermal and optical methods. By changing the spacer from 2-pyrazoline to the electron-rich pyrazole in the main chain, the photophysical properties including energy levels, absorption wavelength and bandgap of the polymers were finely tuned. The photovoltaic properties of P1 with better absorption features were also studied.
Graphical abstract
Salt Mining and Salt Miners at Talkherud–Douzlākh, Northwestern Iran: From Landscape to Resource-Scape
Authors: Stöllner Thomas , Aali Abolfazl , Boenke Nicole , Davoudi Hossein , Draganits Erich , Fathi Homa , Franke Kristina A. , Herd Rainer , Kosczinski Katja , Mashkour Marjan , Mostafapour Iman , Nezafati Nima , Öhrström Lena , Rühli Frank , Saeidi Sahand , Schapals Fabian , Schimerl Nicolas , Sikorski Beate , Zifar Hamed 
Published: June 2024

AbstractThe Douzlākh salt deposit (region: Māhneshān, Zanjān Province, Iran) is unique for its pure and crystal rock salt and was an important supplier of culinary (‘table’) salt in Achaemenid, Sassanid and Middle Islamic times. At the same time, the site was of central importance to the economic life of the rural populations in the Talkherud Basin. This article focuses on the question of which strategies were decisive for the exploitation of the salt mountain and how a potential supra-regional interest in the culinary salt was perhaps reciprocally connected with a rural hinterland. This hinterland was recently investigated in greater detail by our ongoing research. Did a resource-scape based on salt develop with specific economic and social strategies and practices around the Douzlākh? And was this development triggered by state or imperial control and demand? These questions are being pursued from a perspective utilising a variety of subjects and methods in archaeology, archaeobiology, archaeometry and geoarchaeology. In addition to a detailed on-site artefact study, several on- and off-site datasets have been collected and analysed within a multidisciplinary framework. This article synthesises the results of a major 12-year project to identify the organisational principles and daily practices within this specific salt-scape. The sensational finds of the Douzlākh salt mummies, along with the generally outstanding preservation of organic ecofacts and artefacts, allow insights into antique lifeworlds that are otherwise hard to come by. The multidisciplinary study of on- and off-site data allows far-reaching insights into interdisciplinary topics, such as the social system, supply and logistics, or the presence of non-local or non-indigenous populations.
A meta-analysis of the effects of context, content, and task factors of digitally delivered instructional feedback on learning performance
Authors: Brummer Leonie , de Boer Hester , Mouw Jolien M. , Strijbos Jan-Willem 
Published: June 2024

AbstractEven though context, content, and task factors are considered essential parts of digitally delivered instructional feedback, their effects on learning performance are most often studied separately. A meta-analysis was carried out to address the effects of context, content, and task factors of digitally delivered instructional feedback on learning performance. A summary effect of .41 (SE = .05) was found for 116 interventions. Significant influencers on learning performance in the sample were feedback focus, discipline, assessment type, and learner control (amongst others), showing the potential to explain the heterogeneity in effects. Also, any simple feedback (e.g. verification or knowledge of result) is more effective than no feedback. A meta-regression with all significant influencers and feedback focused on the process explained the heterogeneity in learning performance.
Studying how social relationships affect peer assessment in an E-learning environment
Authors: Sousa Francisco , Alves Tomás , Gama Sandra , Jorge Joaquim , Gonçalves Daniel 
Published: June 2024

AbstractPeer assessment has been widely studied as a replacement for traditional evaluation, not only by reducing the professor’s workload but mainly by benefiting students’ engagement and learning. Although several works successfully validate its accuracy and fairness, more research must be done on how students’ pre-existing social relationships affect the grades they give their peers in an e-learning course. We developed a Moodle plugin to provide the platform with peer assessment capabilities in forums and used it on an MSc course. The plugin curated the reviewer set for a post based on the author’s relationships and included rubrics to counter the possible interpersonal effects of peer assessment. Results confirm that peer assessment is reliable and accurate for works with at least three peer assessments, although students’ grades are slightly higher. The impact of social relationships is noticeable when students who do not like another colleague peer grade their work consistently lower than students with whom they have a positive connection. However, this has little influence on the final aggregate peer grade. Our findings show that peer assessment can replace traditional evaluation in an e-learning environment where students are familiar with each other.
Compressive sensing imaging with periodic perturbation induced caustic lens masks in a ripple tank
Authors: Arık Doğan Tunca , Şahin Asaf Behzat , Ersoy Özgün 
Published: June 2024

AbstractTerahertz imaging presents immense potential across many fields but the affordability of multiple-pixel imaging equipment remains a challenge for many researchers. To address this, the adoption of single-pixel imaging emerges as a lower-cost option, however, the data acquisition process necessary for reconstructing images is time-intensive. Compressive Sensing, which allows for generation of images using a reduced number of measurements than Nyquist's theorem demands, presents a promising solution but long processing times are still issue particularly large-sized images. Our proposed solution to this issue involves using caustic lens effect induced by perturbations in a ripple tank as a sampling mask. The dynamic nature of the ripple tank introduces randomness into the sampling process and this reduces measurement time by exploiting the inherent sparsity of THz band signals. This work employed Convolutional Neural Network to perform target classification based on the distinct signal patterns acquired through the caustic lens mask. The proposed classifier achieved 99.22% accuracy rate in distinguishing targets shaped like Latin letters. The controlled randomness introduced by the caustic lens mask is believed to play a crucial role in achieving this high accuracy by mitigating overfitting, a common challenge in machine learning.
Procedure Matters: The Distinct Attitudinal Feedback Effects of Immigration Policy
Authors: Lee Siu-yau 
Published: June 2024

Abstract
Natives who dislike immigrants prefer restrictive immigration policies, but do those policies deepen or alleviate anti-immigrant attitudes? Existing theories have offered mixed predictions. Restrictions imposed on immigrants may harden intergroup boundaries and thus deepen hostilities. However, they may also soften attitudes by addressing the economic and identity concerns of natives. Using a conjoint experiment conducted in Hong Kong, I test the multidimensional effects of immigration policies on natives’ attitudes toward highly skilled immigrants. I find that restrictive measures consistently generate more positive attitudes. Strikingly, this effect cannot be fully accounted for by major theoretical explanations, including labor market competition, social identity, and welfare attitudes. Preexisting policy preferences do not condition the effect either. These findings point to the importance of attitudinal policy feedback beyond traditional accounts of immigration attitudes. In-depth qualitative interviews identify two novel causal mechanisms: moralizing and quality assurance effects.
Forecasting the commuting generation using metropolis-informed GCN and the topological commuter portrait
Authors: Chen Yuting , Zhao Pengjun , Chen Qi 
Published: June 2024

AbstractUnderstanding commuter traffic in transportation networks is crucial for sustainable urban planning with commuting generation forecasts operating as a pivotal stage in commuter traffic modeling. Overcoming challenges posed by the intricacy of commuting networks and the uncertainty of commuter behaviors, we propose MetroGCN, a metropolis-informed graph convolutional network designed for commuting forecasts in metropolitan areas. MetroGCN introduces dimensions of metropolitan indicators to comprehensively construct commuting networks with diverse socioeconomic features. This model also innovatively embeds topological commuter portraits in spatial interaction through a multi-graph representation approach capturing the semantic spatial correlations based on individual characteristics. By incorporating graph convolution and temporal convolution with a spatial–temporal attention module, MetroGCN adeptly handles high-dimensional dependencies in large commuting networks. Quantitative experiments on the Shenzhen metropolitan area datasets validate the superior performance of MetroGCN compared to state-of-the-art methods. Notably, the results highlight the significance of commuter age and income in forecasting commuting generations. Statistical significance analysis further underscores the importance of anthropic indicators for commuting production forecasts and environmental indicators for commuting attraction forecasts. This research contributes to technical advancement and valuable insights into the critical factors influencing commuting generation forecasts.
Health-related quality of life among older adults following acute hospitalization: longitudinal analysis of a randomized controlled trial
Authors: Robinson Eirin Guldsten , Gyllensten Hanna , Granas Anne Gerd , Halvorsen Kjell H. , Garcia Beate Hennie 
Published: June 2024

Abstract
Purpose
To describe the longitudinal change of health-related quality of life (HRQoL) over 12 months from acute hospitalization in older adults ≥ 70 years (IMMENSE study), and associated factors, to investigate how a medication optimization intervention influenced this change.

Methods
The EQ-5D-3L was used at discharge and 1, 6 and 12 months after discharge during a randomized controlled trial including 285 participants. Multilevel logistic (EQ-5D-3L dimensions) and mixed model regression (EQ-5D-3L index scores, EQ-VAS) were used to explore the longitudinal change with/without the intervention, and associations with medications, comorbidities, and socioeconomic variables. Subgroup analyses were performed for non-long and long stayers with hospitalizations < or ≥ 14 days.

Results
EQ-5D-3L index scores significantly declined after 12 months (β −0.06 [95% confidence interval (CI:) −0.10–−0.02], p = 0.003). Non-long stayers showed significant improvement 1 month from discharge (β 0.05 [0.00–0.09], p = 0.040). The number of medications and receiving home-care services were the main factors associated with reduced HRQoL. Being home-dwelling was the main factor associated with higher HRQoL. Non-long stayers of the intervention group reported significantly higher EQ-VAS than the control group (β 4.02 [0.11–7.93], p = 0.044).

Conclusion
We observed no significant difference in the longitudinal change in HRQoL between the two IMMENSE study groups over 12 months after hospitalization. However, the non-long stayer subgroup analysis indicates that the intervention may have had a long-term effect on HRQoL in some of intervention patients. The number of medications and the ability to live and care for oneself should be taken into consideration when planning future patient care and health-care services.

Trial registration
The trial was registered in clinicaltrials.gov on 28/06/2016 before enrolment started (NCT02816086).
Market and regulatory implications of social identity cohorts: a discussion of crypto influencers
Authors: Jagolinzer Alan D. 
Published: June 2024

AbstractMerkley et al. (2023) examine how cryptocurrency influencers recommend digital coins on Twitter (X) and the associated price effects. They report that influencers may exploit market investors via potential pump and dump schemes. While plausible, researchers may develop a broader understanding of influencers’ incentives and their influence by considering how investors engage these markets for social identity needs that enhance utility. Social-psychological research indicates that someone’s social identity strongly influences their behavior, even making the behavior maladaptive. This paper discusses how crypto influencers create social identity resonance. It then discusses how influencers can leverage this resonance for potentially lucrative financial opportunities, which might manifest in different expected crypto price patterns. The paper concludes by recommending more research on influencers’ experience, networks, and communication choices; the effects of video relative to text communication; and implications of social identity cohorts that influence prices and undermine regulatory trust in traditional markets.
Governance through exit: Pension fund reform impact on real earnings management of portfolio companies
Authors: Kałdoński Michał , Jewartowski Tomasz 
Published: June 2024

AbstractTheoretical models predict that the threat of outside blockholder exit can mitigate agency problems and force managers to undertake actions that would maximize firm value in the long run. We examine whether the institutional blockholder exit threat curbs managerial misbehavior and short-termism reflected in real earnings management. Our study exploits a natural experiment—the Polish pension fund reform of 2013 that encouraged pension funds to trade more actively and imposed a real threat of exit on their portfolio companies. Using a difference-in-differences approach, we provide evidence that the reform significantly decreased the level of real earnings management in “treated” companies, that is, companies with open-ended pension funds (OFEs) playing the role of blockholders. The effect was more significant for firms in a multiple blockholder setting, firms under common ownership, and firms with higher insider’s stakes. Moreover, we confirmed that treated companies that decreased real earnings management in the post-reform period experienced the increased long-term operating performance.
MemPol: polling-based microsecond-scale per-core memory bandwidth regulation
Authors: Zuepke Alexander , Bastoni Andrea , Chen Weifan , Caccamo Marco , Mancuso Renato 
Published: June 2024

AbstractIn today’s multiprocessor systems-on-a-chip, the shared memory subsystem is a known source of temporal interference. The problem causes logically independent cores to affect each other’s performance, leading to pessimistic worst-case execution time analysis. Memory regulation via throttling is one of the most practical techniques to mitigate interference. Traditional regulation schemes rely on a combination of timer and performance counter interrupts to be delivered and processed on the same cores running real-time workload. Unfortunately, to prevent excessive overhead, regulation can only be enforced at a millisecond-scale granularity. In this work, we present a novel regulation mechanism from outside the cores that monitors performance counters for the application core’s activity in main memory at a microsecond scale. The approach is fully transparent to the applications on the cores, and can be implemented using widely available on-chip debug facilities. The presented mechanism also allows more complex composition of metrics to enact load-aware regulation. For instance, it allows redistributing unused bandwidth between cores while keeping the overall memory bandwidth of all cores below a given threshold. We implement our approach on a host of embedded platforms and conduct an in-depth evaluation on the Xilinx Zynq UltraScale+ ZCU102, NXP i.MX8M and NXP S32G2 platforms using the San Diego Vision Benchmark Suite.