bluuebunny/crossref_metadata_2025_split huggingface dataset:
Applications, technologies, and evaluation methods in smart aquaponics: a systematic literature review
Authors: Anila Mundackal , Daramola Olawande 
Published: November 2024

AbstractSmart aquaponics systems are gaining popularity as they contribute immensely to sustainable food production. These systems enhance traditional farming with advanced technologies like the Internet of Things (IoT), solar energy, and Artificial Intelligence (AI) for increased proficiency and productivity. However, assessing the performance and effectiveness of these systems is challenging. A systematic literature review (SLR) was conducted to examine the applications, technologies, and evaluation methods used in smart aquaponics. The study sourced peer-reviewed publications from IEEE Xplore, Scopus, SpringerLink and Science Direct. After applying inclusion and exclusion criteria, a total of 105 primary studies were selected for the SLR. The findings show that aquaponics predictions (27%) have been under-explored compared to applications that involved monitoring or monitoring and controlling aquaponics (73%). IoT technologies have been used to create prototype aquaponic systems and collect data, while machine learning/deep learning (predictive analytics) are used for prediction, abnormality detection, and intelligent decision-making. So far, predictive analytics solutions for aquaponics yield prediction, return-on-investment (ROI) estimates, resource optimisation, product marketing, security of aquaponics systems, and sustainability assessment have received very little attention. Also, few studies (37.7%) incorporated any form of evaluation of the proposed solutions, while expert feedback and usability evaluation, which involved stakeholders and end-users of aquaponics solutions, have been rarely used for their assessment. In addition, existing smart aquaponics studies have limitations in terms of their short-term focus (monitoring and controlling of aquaponics not undertaken over a long time to assess performance and sustainability), being conducted mostly in controlled settings (which limits applicability to diverse conditions), and being focused on specific geographical contexts(which limits their generalizability). These limitations provide opportunities for future research. Generally, this study provides new insights and expands discussion on the topic of smart aquaponics.
Unlocking the potential of nanocellulose from textile waste: a pathway to nanocomposite applications
Authors: Teixeira Marta A. , Barreiros Mariana P. , Felgueiras Helena P. , Fangueiro Raul , Ferreira Diana P. 
Published: November 2024

Abstract
Global textile consumption has increased significantly in the last decades and, consequently, millions of tons of textile waste have been discarded every year. Landfills and incinerators are their main fates, causing several and significant environmental problems. Cotton, second to polyester, is the most widely used fibre in the textile industry. Therefore, the recovery of this fibre from wastes is an imperative waste management strategy to mitigate the environmental impacts related with their disposable as well as its farming. Various approaches have been employed to reuse these waste cotton textiles. The extraction of cellulose nanomaterials, such as cellulose nanofibrils (CNFs) and cellulose nanocrystals (CNCs) from these solid wastes has shown to be a promising methodology. Owing to its outstanding and natural properties, nanocellulose applications have gained high attraction in different areas. In this review, the potential of using waste cotton textiles to extract nanocellulose instead of other cellulosic resources is highlighted and discussed. The concept of nanocellulose and the differences between types is well clarified. A background on the typically applied extraction methods is presented, giving special relevance to those already employed to extract nanocellulose from textile wastes, in particular those containing cotton. In addition, limitations to these methodologies are also examined, as well as possible applications of the extracted nanocellulose on high value-added products.
Implementing Quality Improvement Initiatives Within Community Psychiatry: Challenges and Strategies
Authors: Ogbu-Nwobodo Lucy , Fang Anya , Gill Harminder , Saenz Sam Ricardo , Wallace Paul , Mangurian Christina , Folk Johanna B. 
Published: November 2024

AbstractImplementation of quality improvement (QI) initiatives within community mental health settings is crucial to addressing equity-related issues affecting mental health services delivery, including for co-occurring substance use disorders. Given the growing recognition of QI interventions as an effective framework to facilitate structural change within systems of care, it is important to equip mental health providers with the knowledge and ability to execute QI initiatives that are feasible, sustainable, and integrate a health equity lens. To demystify the QI process, we describe the design and methodologies of four fellows’ capstone projects conducted during the 2022–2023 academic year at the University of California, San Francisco (UCSF) Public Psychiatry Fellowship at Zuckerberg San Francisco General Hospital and Trauma Center (ZSFG). By highlighting fellows’ experiences with leading QI initiatives within community mental health settings, we discuss strategies for overcoming implementation barriers including stakeholder engagement and transparency factors, resource and time constraints, unexpected changes in direction, and lack of infrastructure for QI. Lastly, we reflect on best practices and sustainability considerations for leading QI initiatives in partnership with academic centers, departments of public health, and community mental health clinics.
Land Markets Anticipate Future Regulatory Boundary Changes
Authors: Bošković Branko , Nøstbakken Linda 
Published: November 2024

AbstractEnvironmental policies vary across space, and a growing body of empirical research compares land prices across administrative boundaries to estimate the causal effects of local policies. However, this approach can be confounded if the market anticipates the boundaries may change and land prices respond accordingly. We propose a way to separately identify the effect of local policy and the market’s beliefs that boundaries may change, and we apply this approach to Canadian land prices and wildlife protection zones in Alberta. We find that anticipation matters: market expectations that land will become protected reduces land prices by nearly one-quarter, and empirical analysis that omits anticipation underestimates the cost of regulation by one-third.
Promoter recognition specificity of Corynebacterium glutamicum stress response sigma factors σD and σH deciphered using computer modeling and point mutagenesis
Authors: Blumenstein J. , Dostálová H. , Rucká L. , Štěpánek V. , Busche T. , Kalinowski J. , Pátek M. , Barvík I. 
Published: November 2024

AbstractThis study aimed to reveal interactions of the stress response sigma subunits (factors) σD and σH of RNA polymerase and promoters in Gram-positive bacterium Corynebacterium glutamicum by combining wet-lab obtained data and in silico modeling. Computer modeling-guided point mutagenesis of C. glutamicum σH subunit led to the creation of a panel of σH variants. Their ability to initiate transcription from naturally occurring hybrid σD/σH-dependent promoter Pcg0441 and two control canonical promoters (σD-dependent PrsdA and σH-dependent PuvrD3) was measured and interpreted using molecular dynamics simulations of homology models of all complexes. The results led us to design the artificial hybrid promoter PD35H10 combining the −10 element of the PuvrD3 promoter and the −35 element of the PrsdA promoter. This artificial hybrid promoter PD35-rsdAH10-uvrD3 showed almost optimal properties needed for the bio-orthogonal transcription (not interfering with the native biological processes).
How to assess the impact of fellowships on academic careers? Latent transition analyses for funding programmes of the Alexander von Humboldt Foundation
Authors: Mutz Rüdiger , Daniel Hans-Dieter 
Published: November 2024

AbstractAlthough fellowship programmes continue to be seen as an effective means of advancing young researchers' academic careers, the impact of fellowship programmes on fellows' career development is still unclear. The central question of this article concerns the evaluation of fellowship programmes: What methodological challenges does the evaluation of fellowship programmes pose with regard to career development, and how these can be addressed in the context of evaluations? Specifically, there are three key methodological challenges facing research evaluation in the context of career development, which can be described by the terms 'impact', 'validity and fairness', and 'tailored programmes'. A career is understood as a transition between positions over time; career stages can be understood as latent categorical variables, i.e. types of career stages (temporary, full-time). Transition is modelled statistically using latent transition analyses within a person-centred approach. Covariates, such as funding programmes, can impact both the initial configurations (i.e. the frequency of fellows in different career stages) and the transition itself. A funding programme is fair if all fellows, regardless of their characteristics (gender, career stage, cohort), have the same chances of success. Different types of fellows with different career trajectories indicate heterogeneous subpopulations that require tailoring of funding programmes. The approach is illustrated with data on the career development of 1418 fellows from three Alexander von Humboldt Foundation programmes. The majority of fellows benefit in their academic careers from the funding, but the null hypothesis of no specific effects (e.g. programmes, age, gender) could not be rejected (endogenous and homogeneous trajectories).
Distinct resource utilization by introduced man-made grouper hybrid: an overlooked anthropogenic impact from a longstanding religious practice
Authors: Chung Arthur , Schunter Celia 
Published: November 2024

Abstract
Anthropogenic activities, such as the introduction of non-native aquaculture species, have significantly altered trophic interactions in marine ecosystems. The hybrid grouper (TGGG), an aquaculture product originating from an artificial F1 crossbreed between Epinephelus fuscoguttatus and E. lanceolatus, has been released into the wild through religious activities, raising concerns about the ecological implications of this man-made species. With its carnivorous diet and large body size inherited from the parental species, TGGG could pose significant impacts to the marine ecosystem. Yet, little is known about the diet composition of TGGG upon release into the natural environment as well as its dietary overlap or partitioning with closely related species. Here, we deployed gut content DNA metabarcoding to determine the prey richness and dietary niche of wild-caught TGGG and compared it to four native grouper species (Epinephelus awoara, E. bleekeri, E. coioides and E. quoyanus). Our results indicate that the TGGG exhibited five unique prey taxa, with teleosts being the predominant prey, followed by crustaceans and cephalopods. Notably, the TGGG displayed a significantly lower mean number of prey taxa compared to the other groupers, suggesting a distinct diet composition that may reflect a transition in feeding behaviour. This study provides a comprehensive analysis with high taxonomic resolution on the diet of artificial hybrids in the wild, indicating the potential for successful establishment if release events persist. Finally, these findings provide new insights into how local trophic dynamics are impacted by the under-investigated release of animals through religious practices.
Class-based differences in moral judgment: A bayesian approach
Authors: Tutić Andreas 
Published: November 2024

AbstractThis study employs Bayesian inference to explore class-based differences in moral judgment. Based on the dual-process perspective in interdisciplinary action theory, we estimate in a first step a process model which differentiates parametrically between emotionally driven deontological, deliberatively driven utilitarian, and residual judgmental inclinations. In a second step, our estimates of these parameters are correlated via beta regressions with indicators of social class and thinking dispositions. We find a considerable association between social class, specifically income, and deontological inclinations, whereas consequentialist inclinations correlate with thinking dispositions but not with social class. This research underscores the utility of Bayesian estimation in closing the gap between theoretical and statistical modelling. Employing this approach enhances our understanding of the nuanced interplay between intuitive and deliberative processes in moral judgment and, more generally, offers a promising direction for advancing sociological action theory.
Reactivity and potential mobility of metals in human-impacted harbor sediments (Port of Rotterdam, the Netherlands)
Authors: Wu Guangnan , Reichart Gert-Jan , Kraal Peter 
Published: November 2024

Abstract

Purpose
Vast amounts of harbor sediments are being dredged every year globally. These sediments are often enriched in potentially toxic elements (PTEs), the abundance and potential mobility of which are important for sustainable harbor management practices. In this study, we investigate metal (especially PTE) distribution, abundance, and reactivity in sediments along a salinity gradient in the waterways of Europe’s largest harbor, the Port of Rotterdam.

Materials and methods
Bulk surface sediments were analyzed for general physicochemical properties (e.g. grain size, total metal concentration). From selected locations covering the local salinity gradient, sediments were subjected to three independent chemical extractions to determine chemically reactive metal pools. Additionally, metal retention in two contrasting sediments (high versus low salinity) was further explored using pH-dependent leaching experiments in combination with a geochemical model.

Results and discussion
The majority of the investigated sediments consisted predominantly of silt and were rich in organic matter. Concentrations of Cd, Pb, Zn, Cu decreased with increasing salinity. Concentrations of Al, Fe, V correlated negatively with grain size, because these geogenic metals are enriched in fine-grained silicates. Results from the chemical metal extractions showed clear differences in the reactivity and mobility potential of metals, that could be grouped into four clusters. The combined chemical and modeling results indicate that sorption onto metal (oxyhydr)oxides and organic matter as well as precipitation of metal sulfides and carbonates control metal retention. High reactivity and mobility potential were observed for Pb, Cd, Zn, particularly at low pH. Limited spatial variability in metal chemistry along the salinity gradient indicates that the highly variable depositional conditions have little impact on metal behaviors.

Conclusions
Chemical extractions and pH-dependent leaching experiments revealed distinguishing metal reactivities from four clusters. Our results provide insight into metal distribution in the dynamic estuarine environment of the Port of Rotterdam and highlight the importance of understanding chemical speciation in addition to abundance for harbor sediment management.
Political uncertainty and sovereign bond markets
Authors: Handler Lukas , Jankowitsch Rainer 
Published: November 2024

AbstractWe analyze the effects of political uncertainty on prices and liquidity of sovereign bonds. Specifically, we investigate Italian government bonds during the European sovereign debt crisis and focus on political summits and elections. We find a significant drop in prices in combination with high illiquidity and sell-side pressure before the events. The event returns are significantly positive and followed by a positive price trend. The effects are stronger when uncertainty, as measured by the EPU index, is high and economic conditions are weak. In addition, political uncertainty also affects the primary market and we find significant costs associated with issuing sovereign bonds in highly uncertain times.
Exploring instructional designers' utilization and perspectives on generative AI tools: A mixed methods study
Authors: Luo Tian , Muljana Pauline S. , Ren Xinyue , Young Dara 
Published: November 2024

AbstractThe emergence of generative artificial intelligence (GenAI) has caused significant disruptions on a global scale in various workplace settings, including the field of instructional design (ID). Given the paucity of research investigating the impact of GenAI on ID work, we conducted a mixed methods study to understand instructional designers (IDs)’ perceptions and experiences of utilizing GenAI across a spectrum of ID tasks. A total of 70 IDs completed an online survey, and 13 of them participated in the semi-structured interviews. The survey results indicated IDs’ familiarity with and perceived usability of GenAI tools in performing various ID responsibilities in their specific contexts. Qualitative findings further explained that IDs often utilized GenAI tools in (1) brainstorming ideas, (2) handling low-stake tasks, (3) streamlining design process, and (4) enhancing collaborations. Participants also expressed their concerns and challenges while using GenAI in ID, including (1) quality concerns, (2) data security and privacy concerns, (3) concerns over authorship, ownership and plagiarism, amongst others. Implications and recommendations are also discussed to inform future ID practices and research.
Herkunft, Schulform, Wunschberuf – Wie sich berufliche Aspirationen in Abhängigkeit von Sozialstatus und Schulkontext entwickeln
Authors: Zeddies Victoria , Daniel Annabell , Kühne Stefan , Maaz Kai 
Published: November 2024

ZusammenfassungEntwicklungstheoretische Ansätze postulieren Veränderungen von beruflichen Aspirationen im Jugendalter und adressieren dabei individuelle Unterschiede in der Entwicklung. Inwieweit sich herkunftsspezifische Entwicklungsverläufe zeigen und welche Rolle dabei das sozial segregierte Sekundarschulsystem in Deutschland spielt, ist bislang weitgehend unklar. Die vorliegende Studie untersucht daher Unterschiede in der Entwicklung von Berufsaspirationen in Abhängigkeit der sozialen Herkunft sowie der besuchten Schulform von Schüler:innen in der Sekundarstufe I. Dafür werden die Daten der NEPS Startkohorte 3 (N = 3692) verwendet. Die Ergebnisse latenter Mehrgruppen-Wachstumskurvenmodelle zeigen soziale Disparitäten im Ausgangsniveau und in der Entwicklung der beruflichen Aspirationen, welche mit der Schulformzugehörigkeit assoziiert sind: Während die Berufsaspirationen von Schüler:innen weniger privilegierter Herkunft am Gymnasium über die Zeit sinken, zeigt sich ein positiver Entwicklungsverlauf an Schulen mit mehreren Bildungsgängen. Die Aspirationen von Schüler:innen privilegierter Herkunft erweisen sich hingegen, unabhängig der Schulform, als weitgehend stabil.
Empathy’s Role in Engineering Ethics: Empathizing with One’s Self to Others Across the Globe
Authors: Hess Justin L 
Published: November 2024

AbstractEngineers make decisions with global impacts and empathy can motivate ethical reasoning and behavior that is sensitive to the needs and perspectives of stakeholders across the globe. Microethics and macroethics offer two frames of reference for engineering ethics education, but different dimensions of empathy play distinct roles in micro- and macroethics. Microethics emphasizes individual responsibility and interpersonal relationships whereas macroethics emphasizes societal obligations and impacts. While empathy can support ethical reasoning and behavior for each, in this paper I argue that affective empathy plays a primary (but not exclusive) role in microethics whereas cognitive empathy plays a primary role in macroethics. Gilligan’s and Kohlberg’s theories of moral development are used to further depict how affective empathy aligns with care (depicted as an interpersonal phenomenon) and how cognitive empathy aligns with justice (depicted as a systems-focused phenomenon), thus positioning these ethical principles as playing primary (but again, not exclusive) roles in micro- and macro-ethics, respectively. Building on these ideas, this study generates a framework that describes and visualizes how empathy manifests across six frames of reference, each of which are increasingly macro-ethical in nature: self, team, operators, participants, bystanders, and future generations. The paper describes how proxy stakeholders can be identified, developed, and leveraged to empathize with stakeholder groups. Taken together, the manuscript seeks to clarify the role of empathy in engineering ethics and can enable engineering students to better empathize with the range of stakeholders impacted by engineering decisions, ranging from one’s self to stakeholders across the globe. The intrapersonal understandings and motivations that students generate by empathizing across six frames of reference can facilitate ethical reasoning processes and behaviors that are more inclusive and comprehensive.
Comparative Secretory Efficiency of Two Chitosanase Signal Peptides from Bacillus subtilis in Escherichia coli
Authors: Eom Tae-Yang , Gang Yehui , Lee Youngdeuk , Kang Yoon-Hyeok , Jo Eunyoung , Marasinghe Svini Dileepa , Park Heung Sik , Park Gun-Hoo , Oh Chulhong 
Published: November 2024

AbstractThe production of recombinant proteins in Escherichia coli is often challenged by cytoplasmic expression due to proteolytic degradation and inclusion body formation. Extracellular expression can overcome these problems by simplifying downstream processing and improving protein yields. This study aims to compare the efficiency of two Bacillus subtilis chitosanase signal peptides in mediating extracellular secretion in E. coli. We identified a naturally occurring mutant signal peptide (mCsn2-SP) from B. subtilis CH2 chitosanase (CH2CSN), which is characterized by a deletion of six amino acids in the N-region relative to the signal peptide (Csn1-SP) from B. subtilis CH1 chitosanase (CH1CSN). The CH1CSN and CH2CSN genes were cloned into the pET-11a vector and protein secretion was evaluated in E. coli BL21(DE3) host cells. Expression was induced with 0.1 mM and 1 mM isopropyl β-d-1-thiogalactopyranoside (IPTG) at 30 °C for one and three days. CH2CSN showed higher secretion levels compared to CH1CSN under all experimental conditions, especially with 0.1 mM IPTG induction for 3 days, which resulted in a 2.37-fold increase in secretion. Furthermore, it was demonstrated that mCsn2-SP is capable of secreting human Cu,Zn-superoxide dismutase (hSOD) in E. coli BL21(DE3) and successfully translocating it to the periplasmic region. This study represents the inaugural investigation into the utilisation of a naturally modified signal peptide, thereby corroborating the assertion that signal peptide deletion variants can influence protein secretion efficiency. Furthermore, the findings substantiate the proposition that such variants can serve as a viable alternative for the secretion of heterologous proteins in E. coli.