bluuebunny/crossref_metadata_2025_split huggingface dataset:
Flourishing Together: The Longitudinal Effect of Goal Coordination on Goal Progress and Life Satisfaction in Romantic Relationships
Authors: Rosta-Filep Orsolya , Lakatos Csilla , Thege Barna Konkolÿ , Sallay Viola , Martos Tamás 
Published: March 2023

Abstract
Goal pursuit shapes people’ everyday experiences and is deeply embedded within close relationships. Several studies have shown that goal support from romantic partners facilitates goal progress, and individual goal progress contributes to wellbeing. However, few pieces of research have examined the whole process, how efficient goal coordination in a romantic relationship contributes to life satisfaction through goal progress. In these studies, short time frames were used and only one aspect of goal coordination was examined. To generate more complex, long-term understanding we collected data from 148 married or cohabitating Hungarian heterosexual couples (mean age 39.71 ± 10.40 and 38.57 ± 10.00 years for men and women, respectively) in a two-wave longitudinal study with a year-long time window. Both partners individually completed an adapted version of the Personal Project Assessment and evaluated four chosen projects associated with project coordination (emotional support, communication, and cooperation) at baseline, and project attainment (progress, success, satisfaction) in the follow up. Life satisfaction was assessed during both waves. Results from the actor–partner interdependence mediation modeling revealed complete mediation, where project coordination increased project attainment one year later, and consequently associated with higher life satisfaction for both partners. The direct effect between project coordination and life satisfaction remained nonsignificant. This association indicates that for long-term life satisfaction, it is crucial to experience better goal outcomes as the result of the couple’s collaborative effort.
Sind wir moralisch verpflichtet, eine gendergerechte Sprache zu verwenden?
Authors: Kipke Roland 
Published: March 2023

ZusammenfassungGendergerechte Sprache ist zwar in der öffentlichen Debatte ein großes Thema, aber kaum in der philosophischen Ethik. Diese Lücke will ich hier füllen. Die Leitfrage lautet: Sind wir moralisch verpflichtet, eine gendergerechte Sprache zu verwenden? Zunächst zeige ich, inwiefern diese Frage berechtigt ist. Dann rekonstruiere ich das aussichtsreichste Argument für eine Pflicht zu gendergerechter Sprache. Dieses Argument baut auf drei deskriptiven Prämissen, die ich nacheinander untersuche. Sie betreffen den Zusammenhang zwischen grammatischem und biologischem/sozialem Geschlecht, den Zusammenhang zwischen Sprache und sozialer Wirklichkeit sowie die gleichstellende Kraft gendergerechter Sprache. Auf dieser Grundlage gebe ich im Schlussabschnitt eine Antwort auf die leitende Frage und diskutiere kurz einige sich anschließende Fragen.
Trends in Emergency Department Visits and Surgeries due to Traumatic Brain Injury During the COVID-19 Pandemic in Finland
Authors: Jäntti Saara , Ponkilainen Ville , Kuitunen Ilari , Uimonen Mikko , Luoto Teemu , Mattila Ville M. 
Published: March 2023

AbstractWe aim to evaluate the changes in the incidence of TBI, trauma craniotomies, and craniectomies during the COVID-19 pandemic in Finland. This retrospective register study was conducted at three Finnish hospitals. We retrieved the numbers of emergency department (ED) visits, inpatient admissions, and trauma craniotomies and craniectomies due to TBI in the adult population from 2017 to 2020.We calculated the incidences per 100 000 inhabitants and compared the year 2020 to the reference years (2017–2019) by incidence rate ratios (IRR) with 95% confidence intervals. The incidence of TBI-related ED visits during the study period compared to the reference years started to decrease in March 2020 (IRR 0.86, CI: 0.73–1.02), and the lowest incidence was seen in April 2020 (IRR 0.83, CI: 0.68–1.01). The incidence of ED visits showed a second decrease in December (IRR 0.80, CI: 0.67–0.96). The incidence of concussion decreased during the national lockdown in March (IRR 0.80, CI 0.66–0.97). The incidence of ED visits due to TBI decreased after the declaration of national lockdown in spring 2020 and showed a second decrease during regional restrictions in December. In addition, the incidence of neurosurgically treated TBI decreased during restaurant restrictions in the spring.
Geological structure of karst stratigraphical windows at Škocjan Caves, Slovenia
Authors: Šebela Stanka , Novak Uroš 
Published: March 2023

AbstractWithin the UNESCO Škocjan Caves, detailed geological structural mapping of the cave passages and of the surface above the cave revealed interesting structural-lithological characteristics of two major collapse dolines, Velika Dolina and Mala Dolina. As a result of the karst processes effects and the formation of collapse dolines, older—stratigraphically lower—carbonates of the Sežana Formation (K22−4) crop out at the surface, underlying rocks of the younger Lipica Formation (K24−5). Here we do not recognize karst windows only in a geomorphological sense but, acknowledging the characteristic lithostratigraphical relationships involved, we suggest use of the new expression “karst stratigraphical window”. Recognizing that karstic areas contain numerous collapse dolines and other doline types, we presume that many more examples of karst stratigraphical windows exist, and that these are distinct from tectonic windows. Our study showed the importance that during the making of detailed geological surface maps of karst areas, it is essential to examine features such as collapse dolines, which may be identified as karst stratigraphical windows. Therefore, providing additional geological data, information about the stratigraphic boundaries and geological structure, in areas without abundance of outcropping rocks is resulting in a more inclusive and comprehensive geological maps.
From total quality management to Quality 4.0: A systematic literature review and future research agenda
Authors: Liu Hu-Chen , Liu Ran , Gu Xiuzhu , Yang Miying 
Published: March 2023

AbstractQuality 4.0 is an emerging concept that has been increasingly appreciated because of the intensification of competition, continually changing customer requirements and technological evolution. It deals with aligning quality management practices with the emergent capabilities of Industry 4.0 to improve cost, time, and efficiency and increase product quality. This article aims to comprehensively review extant studies related to Quality 4.0 to uncover current research trends, distil key research topics, and identify areas for future research. Thus, 46 journal articles extracted from the Scopus database from 2017 to 2022 were collected and reviewed. A descriptive analysis was first performed according to the year-wise publication, sources of publication, and research methods. Then, the selected articles were analyzed and classified according to four research themes: Quality 4.0 concept, Quality 4.0 implementation, quality management in Quality 4.0, and Quality 4.0 model and application. By extracting the literature review findings, we identify the Quality 4.0 definitions and features, develop the quality curve theory, and highlight future research opportunities. This study supports practitioners, managers, and academicians in effectively recognizing and applying Quality 4.0 to enhance customer satisfaction, achieve innovation enterprise efficiency, and increase organizational competitiveness in the era of Industry 4.0.
Regulated adsorption sites using atomically single cluster over biochar for efficient elemental mercury uptake
Authors: Li Jiaxing , Li Hongli , Xu Haomiao , Hong Qinyuan , Ji Leipeng , Liu Zhisong , Qiu Yixiang , Huang Wenjun , Yan Naiqiang , Qu Zan 
Published: March 2023

AbstractCarbon-based materials have been widely used in gaseous pollutant removal because of their sufficient surface functional groups; however, its removal efficiency for elemental mercury (Hg0) is low. In this study, we fabricated biomass using a chelated coupled pyrolysis strategy and further constructed the regulated adsorption sites for gaseous Hg0 uptake. A series of Mnδ-N2O2/BC with different manganese cluster sizes demonstrated that manganese clusters anchored on biochar acted as highly active and durable adsorbents for Hg0 immobilization, which increased the adsorption efficiency of Hg0 by up to 50%. Shrimp- and crab-based biochar adsorbents exhibited excellent Hg0 removal because of their chitosan-like structure. In particular, small Mn clusters and oxygen species around the defect led to a boost in the Hg0 adsorption by carbon. The results of density functional theory calculation revealed that the presence of oxygen in the carbon skeleton can tune the electrons of small-sized Mn clusters, thereby promoting the affinity of mercury atoms. The newly developed Mnδ-N2O2/BCshrimp had an adsorption capacity of 7.98–11.52 mg g−1 over a broad temperature range (50–200 °C) and showed a high tolerance to different industrial flue gases (H2O, NO, HCl, and SO2). These results provide novel green and low-carbon disposal methods for biomass resource utilization and industrial Hg0 emission control.
Graphical Abstract
Multifaceted applications of biochar in environmental management: a bibliometric profile
Authors: Kumar Abhishek , Bhattacharya Tanushree , Shaikh Wasim Akram , Roy Arpita , Chakraborty Sukalyan , Vithanage Meththika , Biswas Jayanta Kumar 
Published: March 2023

AbstractBiochar is a carbon-containing material prepared through thermal treatment of biomass in limited supply of oxygen, and used for an array of applications including waste management, climate change mitigation, soil fertility improvement, bio-energy production, and contaminant remediation. The data related to biochar, its production, and the wide applicability were collected using Web of Science Core Collection Database (on 25/10/2022), while bibliometric network analysis was performed using VOSviewer software to analyse year-wise, author-wise, country-wise, and journal-wise publication trends, construct keyword co-occurrence maps, and identify research areas receiving greater focus. Further, the applications of biochar were reviewed and mechanistic insights were provided. Some of the findings include: > 50% of documents (> 13,000) getting published in the past 3 years, > 90% of documents (> 21,000) being research articles, ~ 50% of publications (> 10,000) being related to environmental sciences, pyrolysis being the most widely used (~ 40% articles) production technique (followed by carbonization, gasification, combustion, and torrefaction), China being the most active country in terms of publications (> 11,000), and biochar being mostly used for removing contaminants (followed by soil improvement, waste management, energy production, and climate change mitigation). Various strengths, weaknesses, opportunities, and threats (SWOT analysis) of biochar production and wide-ranging applicability were identified. Lastly, gaps were identified including the need for performing elaborate life cycle assessments, exploring machine learning and artificial intelligence for upgrading conversion technology and producing application-specific biochar, and investigating mechanistic aspects of soil-biochar interactions and nano-scale transformation of biochar. The study covers a broad spectrum of biochar applicability to identify areas receiving lesser attention, which could guide the future researchers for augmenting biochar research.
Graphical Abstract
Machine learning-based seismic response and performance assessment of reinforced concrete buildings
Authors: Kazemi F. , Asgarkhani N. , Jankowski R. 
Published: March 2023

Abstract
Complexity and unpredictability nature of earthquakes makes them unique external loads that there is no unique formula used for the prediction of seismic responses. Hence, this research aims to implement the most well-known Machine Learning (ML) methods in Python software to propose a prediction model for seismic response and performance assessment of Reinforced Concrete Moment-Resisting Frames (RC MRFs). To prepare 92,400 data points of training dataset for developing data-driven techniques, Incremental Dynamic Analyses (IDAs) were performed considering 165 RC MRFs with two-, to twelve-Story elevations having the bay lengths of 5.0 m, 6.1 m, and 7.6 m assuming near-fault seismic excitations. Then, important structural features were considered in datasets to train and test the ML-based prediction models, which were improved with innovative techniques. The results show that improved algorithms have higher R
2 values for estimating the Maximum Interstory Drift Ratio (IDRmax), and two improved algorithms of artificial neural networks and extreme gradient boosting can estimate the Median of IDA curves (M-IDAs) of RC MRFs, which can be used to estimate the seismic limit-state capacity and performance assessment of existing or newly constructed RC buildings. To validate the generality and accuracy of the proposed ML-based prediction model, a five-Story RC building with different input features was used, and the results are promising. Therefore, graphical user interface is introduced as user-friendly tool to help researchers in estimating the seismic limit-state capacity of RC buildings, while reducing the computational cost and analytical efforts.
Effect of integrated sustainable land management technologies on households’ food security in the North Gojjam sub-basin, Blue Nile River
Authors: Ewunetu Alelgn , Simane Belay , Abebe Gebeyehu 
Published: March 2023

AbstractIntegrated Sustainable Land Management (ISLM) is progressively viewed as a key strategy to boost food security in Ethiopia and feed its growing population. By understanding this logical ground, this paper examines the effect of ISLM technologies adoption on household food security. The study relies on cross-sectional household-level data collected from 414 randomly selected household heads across three districts to analyze this issue. An Endogenous Switching Regression (ESR) model coupled with the Full Information Maximum Likelihood (FIML) technique was applied to analyze the required data. The finding shows that the adoption of ISLM technologies has significantly increased food security. It specifically increases food consumption expenditure in households by ETB (national currency in Ethiopia; as of August 2021, 1 ETB is equal to approximately USD $0.02) 38.3 (27%) when compared to households that do not adopt groups. Similarly, it increases the adopter households’ dietary diversity by 14.5%. Furthermore, it plays a significant role in reducing the food gap period by one and a half months per year and the food insecurity access scale by 46% points in the north Gojjam sub-basin for those who adopted versus those who did not adopt. The policy implication is that the adoption of ISLM technologies can improve rural household food security and may be used as a means of reducing rural poverty. As a result, the adoption of ISLM technologies should have been promoted in the study area and elsewhere by inspiring land users by accessing external agricultural inputs at the right time and place to increase small-scale land productivity.
Kramer-type sampling theorems associated with higher-order differential equations
Authors: Markett Clemens 
Published: March 2023

AbstractFor many decades, Kramer’s sampling theorem has been attracting enormous interest in view of its important applications in various branches. In this paper we present a new approach to a Kramer-type theory based on spectral differential equations of higher order on an interval of the real line. Its novelty relies partly on the fact that the corresponding eigenfunctions are orthogonal with respect to a scalar product involving a classical measure together with a point mass at a finite endpoint of the domain. In particular, a new sampling theorem is established, which is associated with a self-adjoint Bessel-type boundary value problem of fourth-order on the interval [0, 1]. Moreover, we consider the Laguerre and Jacobi differential equations and their higher-order generalizations and establish the Green-type formulas of the differential operators as an essential key towards a corresponding sampling theory.
Carbon dioxide capture from the Kraft mill limekiln: process and techno-economic analysis
Authors: Parkhi Amod , Young David , Cremaschi Selen , Jiang Zhihua 
Published: March 2023

AbstractIn this work, a techno-economic assessment of carbon dioxide capture from limekiln flue gas of a pulp and paper mill (Mill A) and a linerboard mill (Mill B) using a Monoethanolamine (MEA) absorption desorption process was carried out. We coupled the ASPEN Plus simulator with a derivative-free optimization (DFO) tool to identify the optimal configuration for minimizing the total capture cost. The capture costs were calculated using CAPCOST, a modular program for equipment cost estimation, and appropriate coefficients. Eight degrees of freedom, the direct contact cooler stages, the absorber stages, the stripper stages, the solvent lean loading, the solvent weight concentration, the stripper inlet temperature, the flue gas inlet temperature, and the amount of CO2 captured, were selected for process and flowsheet optimization. Additionally, we evaluated the effect of steam integration and Sect. 45Q of the existing federal tax credit for carbon capture and sequestration on CO2 capture costs. The total capture costs per tonne of CO2 were $64.9 for Mill A and $69.7 for Mill B. When steam integration and Sect. 45Q are considered, the costs dropped to − $2.5 and $2.6 for Mill A and Mill B, respectively. The sensitivity of CO2 capture cost to changes in the inlet flue gas flowrate, flue gas CO2 mol%, and the electricity and MEA prices were investigated. The sensitivity analysis results revealed that the capture costs vary from − $5.9 to $5.9 per tonne of CO2 captured.
Design methodology of standing-wave thermoacoustic refrigerator: theoretical analysis
Authors: Kamil Mohanad Q. , Yahya Samir Gh. , Azzawi Itimad D. J. 
Published: March 2023

AbstractThermoacoustic refrigeration systems are one of the best alternative solutions for conventional refrigeration systems that are harmful to the environment and humans due to global warming and ozone layer depletion issues. Thermoacoustic technology can be considered a renewable and clean technology with a promising future for its many advantages. A thermoacoustic refrigerator converts acoustic energy to thermal energy (creating a cooling effect). In the present research, the focus is on the design of a standing-wave thermoacoustic refrigerator driven by an ordinary loudspeaker using the numerical simulation program DELTAEC with the concern of building the apparatus at a low cost. In addition, investigating the influence of some crucial parameters on cooling power and thermal/overall performance. Hence, the designed thermoacoustic refrigerator performed well in respect of cooling power and coefficient of performance. It has achieved a cooling power of 134.34 W with a temperature difference between the ambient and cold heat exchangers of 25 K at a COP of 1.956 and the overall efficiency (electrical power converted into cooling power) amounted to 113.43%. The achieved cooling power and COP could be significant when compared to others’ results.
Unsupervised Ensemble Learning Improves Discriminability of Stochastic Neighbor Embedding
Authors: Wang Jian , Zhao Hui , Zhang Yinghui , Wang Hongjun , Guo Jin 
Published: March 2023

AbstractThe purpose of feature learning is to obtain effective representation of the raw data and then improve the performance of machine learning algorithms such as clustering or classification. Some of the existing feature learning algorithms use discriminant information in the data to improve the representation of data features, but the discrimination of the data feature representation is not enough. In order to further enhance the discrimination, discriminant feature learning based on t-distribution stochastic neighbor embedding guided by pairwise constraints (pcDTSNE) is proposed in this paper. pcDTSNE introduces pairwise constraints by clustering ensemble and uses these pairwise constraints to impose penalties on the objective function, which makes sample points in the mapping space present stronger discrimination. In order to verify the feature learning performance of pcDTSNE, extensive experiments are carried out on several public data sets. The experimental results show that the expression ability of data representation generated by pcDTSNE is further improved.
Effect of Non-pharmaceutical Interventions on COVID-19 in Rwanda: An Observational Study
Authors: Rwagasore Edson , Nsekuye Olivier , Rutagengwa Alfred , El-Khatib Ziad 
Published: March 2023

Abstract
Background
On 11 March 2020, COVID-19 was declared as a pandemic by the World Health Organization (WHO). The first case was identified in Rwanda on 24 March 2020. Three waves of COVID-19 outbreak have been observed since the identification of the first case in Rwanda. During the COVID-19 epidemic, the country of Rwanda has implemented many Non-Pharmaceutical Interventions (NPIs) that appear to be effective. However, a study was needed to investigate the effect of non-pharmaceutical interventions applied in Rwanda to guide ongoing and future responses to epidemics of this emerging disease across the World.

Methods
A quantitative observational study was conducted by conducting analysis of COVID-19 cases reported daily in Rwanda from 24 March 2020 to 21 November 2021. Data used were obtained from the official Twitter account of Ministry Health and the website of Rwanda Biomedical Center. Frequencies of COVID-19 cases and incidence rates were calculated, and to determine the effect of non-pharmaceutical interventions on changes in COVID-19 cases an interrupted time series analysis was used.

Results
Rwanda has experienced three waves of COVID-19 outbreak from March 2020 to November 2021. The major NPIs applied in Rwanda included lockdowns, movement restriction among districts and Kigali City, and curfews. Of 100,217 COVID-19 confirmed cases as of 21 November 2021, the majority were female 51,671 (52%) and 25,713 (26%) were in the age group of 30–39, and 1866 (1%) were imported cases. The case fatality rate was high among men (n = 724/48,546; 1.5%), age > 80 (n = 309/1866; 17%) and local cases (n = 1340/98,846; 1.4%). The interrupted time series analysis revealed that during the first wave NPIs decreased the number of COVID-19 cases by 64 cases per week. NPIs applied in the second wave decreased COVID-19 cases by 103 per week after implementation, while in the third wave after NPIs implementation, a significant decrease of 459 cases per week was observed.

Conclusion
The early implementation of lockdown, restriction of movements and putting in place curfews may reduce the transmission of COVID-19 across the country. The NPIs implemented in Rwanda appear to be effectively containing the COVID-19 outbreak. Additionally, setting up the NPIs early is important to prevent further spread of the virus.
Trustworthy artificial intelligence
Authors: Simion Mona , Kelp Christoph 
Published: March 2023

AbstractThis paper develops an account of trustworthy AI. Its central idea is that whether AIs are trustworthy is a matter of whether they live up to their function-based obligations. We argue that this account serves to advance the literature in a couple of important ways. First, it serves to provide a rationale for why a range of properties that are widely assumed in the scientific literature, as well as in policy, to be required of trustworthy AI, such as safety, justice, and explainability, are properties (often) instantiated by trustworthy AI. Second, we connect the discussion on trustworthy AI in policy, industry, and the sciences with the philosophical discussion of trustworthiness. We argue that extant accounts of trustworthiness in the philosophy literature cannot make proper sense of trustworthy AI and that our account compares favourably with its competitors on this front.