bluuebunny/crossref_metadata_2025_split huggingface dataset:
Developing kNN forest data imputation for Catalonia
Authors: Pukkala Timo , Aquilué Núria , Just Ariadna , Corbera Jordi , Trasobares Antoni 
Published: April 2024

AbstractThe combined use of LiDAR (Light Detection And Ranging) scanning and field inventories can provide spatially continuous wall-to-wall information on forest characteristics. This information can be used in many ways in forest mapping, scenario analyses, and forest management planning. This study aimed to find the optimal way to obtain continuous forest data for Catalonia when using kNN imputation (kNN stands for “k nearest neighbors”). In this method, data are imputed to a certain location from k field-measured sample plots, which are the most similar to the location in terms of LiDAR metrics and topographic variables. Weighted multidimensional Euclidean distance was used as the similarity measure. The study tested two different methods to optimize the distance measure. The first method optimized, in the first step, the set of LiDAR and topographic variables used in the measure, as well as the transformations of these variables. The weights of the selected variables were optimized in the second step. The other method optimized the variable set as well as their transformations and weights in one single step. The two-step method that first finds the variables and their transformations and subsequently optimizes their weights resulted in the best imputation results. In the study area, the use of three to five nearest neighbors was recommended. Altitude and latitude turned out to be the most important variables when assessing the similarity of two locations of Catalan forests in the context of kNN data imputation. The optimal distance measure always included both LiDAR metrics and topographic variables. The study showed that the optimal similarity measure may be different for different regions. Therefore, it was suggested that kNN data imputation should always be started with the optimization of the measure that is used to select the k nearest neighbors.
Enhanced Mechanical Properties and Wear Resistance of FeCrAl Alloys at ~ 300°C and Higher Temperatures
Authors: Dolley Evan J. , Zhang Wanming , Zorn Gilad , Sand Tommy , Rebak Raul B. 
Published: April 2024

AbstractWorldwide, light water reactors (LWRs) have been using zirconium (Zr)-based alloys for the cladding of the uranium dioxide fuel for more than 6 decades. Zr alloys oxidize rapidly in the presence of water and steam at temperatures > 450°C; therefore, they do not respond well to scenarios of loss of coolant accidents. There is a global effort by nuclear materials technologists to find more robust or stronger cladding materials for LWRs. One option is to use an iron-chromium-aluminum (FeCrAl) alloy since they have excellent resistance to high temperature oxidation and superior mechanical properties at LWR operation temperatures. Results show that (1) FeCrAl alloys have better mechanical properties than Zr alloy and are orders of magnitude more resistant to creep at temperatures higher than LWR normal operation conditions. (2) FeCrAl alloys have better resistance to fretting wear than Zr alloys at the normal operation conditions of LWRs.
Atmospheric deposition studies of microplastics in Central Germany
Authors: Kernchen Sarmite , Schmalz Holger , Löder Martin G. J. , Georgi Christoph , Einhorn Andrej , Greiner Andreas , Nölscher Anke C. , Laforsch Christian , Held Andreas 
Published: April 2024

AbstractEmission of microplastics (MP) to the atmosphere, airborne transport, and subsequent deposition are now recognized. However, the temporal and spatial resolution of data on MP pollution and knowledge of their atmospheric behaviour and fate is still very limited. Hence, we investigated MP wet and dry deposition in Central Germany and examined the role of weather conditions on MP contamination levels. Monthly samples of dry and wet deposition were taken over an eight-month period (05/2019-12/2019) and analysed by micro-Fourier-Transform Infrared spectroscopy (µFTIR) down to 11 μm particle size and one dry deposition sample was subjected to Raman analysis to determine plastic particles down to a size of 0.5 μm. MP in a size range from 11 μm to 130 μm were detected in all wet deposition samples and in 4 out of 8 dry deposition samples by µFTIR. Polypropylene particles were found most frequently and accounted for 62% and 54% of all particles in wet and dry deposition samples, respectively. Over the eight-month period, wet deposition of MP slightly dominated at the study site and comprised 59% of the total MP deposition. The MP mean total (wet + dry) deposition flux (DF) was 17 ± 14 MP m− 2 day− 1. Extensive Raman analyses of an exemplary dry deposition sample revealed additional plastic particles in the extended size range from 1 to 10 μm resulting in a deposition flux of 207 MP m− 2 day− 1. Our results suggest that MP analysis by µFTIR down to 11 μm may underestimate DF at least by an order of magnitude. More comprehensive studies on submicron plastics and nanoplastics are needed to fully assess air pollution by plastic particles.
Social media: a digital social mirror for identity development during adolescence
Authors: Pérez-Torres Vanesa 
Published: April 2024

AbstractAccording to recent studies, social media are settings where adolescents construct their identities while engaging in social interactions. In digital spaces, adolescents can interact with, display, and receive feedback about themselves, contributing to the development of a clear and integrated sense of self. This paper reviews the available empirical evidence and discusses four overarching themes related to identity construction in social media: self-presentation (attempting to control images of self to others), social comparison (compare themselves with others, especially evaluating the self), role model (media figures that are social references for behavior), and online audience (friends, peers, unknow/know referents with whom users may interact online). Moreover, it proposes a new contextual perspective on identity development on social media. Informed by research on these themes that social media features allow adolescents to perform self-presentations, offering the opportunity to express interests, ideas, and beliefs about themselves (identification and role exploration). The image presented on social media exposes them to feedback, online audiences, and social comparison with peers or social models. Audiences have an impact on how adolescents think about themselves (self-concept validation). Role models can facilitate the learning of behaviors through imitation and identification (exploration and commitment). Thus, the digital world provides a context for the development of adolescents’ personal identity. This proposal aims to contribute to the construction of future theories on identity in social media and advance this area of research.
Quiescent Adult Neural Stem Cells: Developmental Origin and Regulatory Mechanisms
Authors: Meng Han , Huan Yu , Zhang Kun , Yi Xuyang , Meng Xinyu , Kang Enming , Wu Shengxi , Deng Wenbing , Wang Yazhou 
Published: April 2024

AbstractThe existence of neural stem cells (NSCs) in the adult mammalian nervous system, although small in number and restricted to the sub-ventricular zone of the lateral ventricles, the dentate gyrus of the hippocampus, and the olfactory epithelium, is a gift of evolution for the adaptive brain function which requires persistent plastic changes of these regions. It is known that most adult NSCs are latent, showing long cell cycles. In the past decade, the concept of quiescent NSCs (qNSCs) has been widely accepted by researchers in the field, and great progress has been made in the biology of qNSCs. Although the spontaneous neuronal regeneration derived from adult NSCs is not significant, understanding how the behaviors of qNSCs are regulated sheds light on stimulating endogenous NSC-based neuronal regeneration. In this review, we mainly focus on the recent progress of the developmental origin and regulatory mechanisms that maintain qNSCs under normal conditions, and that mobilize qNSCs under pathological conditions, hoping to give some insights for future study.
Multi-informant Assessment of Organizational Skills: Psychometric Characteristics of the Children’s Organizational Skills Scale (COSS)
Authors: Ryan Shannon , Power Thomas J. , Pendergast Laura , Poznanski Bridget , Nissley-Tsiopinis Jenelle , Abikoff Howard , Gallagher Richard , Tremont Katie , Cacia Jaclyn , Mautone Jennifer A. 
Published: April 2024

AbstractOrganization, time management, and planning (OTMP) skills are behavioral manifestations of executive functioning linked to academic outcomes. Interventions to improve OTMP skills have shown favorable outcomes. The Children’s Organizational Skills Scale parent and teacher forms (COSS-P, COSS-T) are widely used for assessing OTMP skills, but there is limited research on this scale. This study examined the factor structure and construct validity of the COSS in a non-clinical and clinical sample of students in grades 2–8 (Study 1; n = 1138 COSS-T; 1155 COSS-P), and teacher-referred students with OTMP deficits in grades 3–5 (Study 2; n = 184). In Study 1, a bifactor model with a general factor and three subfactors demonstrated good fit for the COSS-P (RMSEA = .057) and COSS-T (RMSEA = .052). This model was replicated in Study 2. The general factor on both versions demonstrated an acceptable to high level of internal reliability. An acceptable degree of reliability was also identified for subfactor 1 (Task Planning). The COSS was shown to be effective in differentiating children with ADHD from a comparison group drawn primarily from the non-clinical sample (AUC = .84 COSS-P; .85 COSS-T). Sex differences of medium magnitude were identified on the total score of both COSS versions. Correlations between the COSS-P and COSS-T were variable across samples. The findings provide strong evidence for using the total score on the COSS-P and COSS-T as an index of overall OTMP skills deficits. Given variable cross-informant correlations on the COSS, multi-informant assessment of OTMP skills is strongly indicated.
Wie, wat, waar? De invloed van het Integraal ZorgAkkoord op bestaande regionale netwerken in de zorg
Authors: Peeters Robin , Westra Daan , Gifford Rachel , Ruwaard Dirk 
Published: April 2024

SamenvattingZorg- en welzijnsorganisaties worden gestimuleerd om samen te werken in regionale, domeinoverstijgende netwerken. Hoewel literatuur laat zien dat beleidsveranderingen invloed hebben op de effectiviteit van bestaande netwerken, is de invloed van het Integraal ZorgAkkoord (IZA) nog niet bekend. We hebben deze onderzocht via een longitudinale, kwalitatieve casestudy van een netwerk dat al geruime tijd bestond. De resultaten laten zien dat in het kader van de invoering van het IZA op het niveau van de zorgkantoorregio een nieuw, overkoepelend netwerk is opgezet. Hierdoor werden het doel, de samenstelling en het voortbestaan van het bestaande netwerk onzeker. In het bestaande netwerk ontstond een tweedeling tussen leden die wel deelnamen aan het nieuwe netwerk en leden die dat niet deden. Organisaties die wel deelnamen aan het nieuwe netwerk stelden hun deelname in het bestaande netwerk ter discussie om de bestuurlijke druk te verlagen. Organisaties die alleen deelnamen aan het bestaande netwerk trokken hun deelname in twijfel omdat het doel niet meer duidelijk was voor deelnemers en ze een gebrek aan transparantie ervoeren over besluiten in het nieuwe netwerk. De nationale overheid en beleidsmakers zouden er goed aan doen om bij verdere uitwerking van het IZA nauwe aansluiting te zoeken bij de praktijk.
Who, what, where? The influence of the Integral Care Agreement (IZA) on established regional networks in Dutch healthcare
Authors: Peeters Robin , Westra Daan , Gifford Rachel , Ruwaard Dirk 
Published: April 2024

AbstractHealth and welfare organizations are encouraged to collaborate in regional, cross-domain networks. Although the literature has shown that policy changes can influence the effectiveness of existing networks, the impact of the Dutch Integral Care Agreement (Integraal ZorgAkkoord, IZA) is not yet known. We investigated this in a longitudinal qualitative case study of a network that has been in existence for a long time. The results show that after implementation of the IZA, a new overarching network at the healthcare administrative regional level was established. This led to uncertainty regarding the objective, composition, and sustainability of the existing network. A division emerged in the existing network between members who participated in the new network and those who did not. Organizations that participated in the new network questioned their participation in the existing network, to reduce administrative pressure. Organizations that only participated in the existing network doubted their participation because they lost sight of the network’s purpose and experienced a lack of transparency regarding decisions made in the new network. The Dutch national government and policymakers would do well to seek close alignment with practice when further developing the IZA.
Qualität in der Ganztagsschule – Qualität im Ganztag
Authors: Rother Pia , Sauerwein Markus , Fischer Natalie 
Published: April 2024

ZusammenfassungIn Ganztagsschulen sind mindestens zwei Systeme (Schule sowie Kinder- und Jugendhilfe) aufgefordert zusammenzuarbeiten. Entsprechend breit und diffus sind vorliegende Qualitätsverständnisse. Qualität ist eine Frage der Perspektive und dahinterliegenden Zielvorstellungen. Somit können auch unterschiedliche Qualitätsvorstellungen von Ganztag nebeneinanderstehen. Entsprechend wird im vorliegenden Beitrag für eine kontextgebundene Reflexion verschiedener Qualitäts- und Zielvorstellungen anstelle eines einheitlichen Qualitätsmodells argumentiert. Im Fokus stehen Qualitätsmerkmale und -begriffe mit Blick auf den Ganztag aus Sicht der Ebene der Organisation und der Adressat*innen (Eltern und Kinder).
Evolutionary Development of Born Globals Literature During the Period of 2002–2020
Authors: Baskici Cigdem , Ercil Yavuz , Gokmen Yunus 
Published: April 2024

AbstractAlthough scholars have examined the born globals (BGs) literature, extant reviews have not yet provided a dynamic approach to trace the development of literature. In response, the study aims to define the development of BGs literature by a dynamic perspective. The study focused on the network analysis of 609 out of 1034 documents published in the period from 2002 to 2020 about BGs collected from the Web of Science™ (WoS) Core Collection (CC), owing to carrying out that some documents were irrelevant or did not contain the keywords while the manual reading of abstracts. We applied the DPRel method which uses meta-path-based semi-metric measures to examine the longitudinal relatedness between the concepts in the networks, following the relevance path of Keywords (K)-Documents (D)-Keywords (K). According to the findings, 13 concepts in 5 different periods constitute the backbone of the literature at the macro-level. There are 58 concepts feeding the mainstream at the meso-level. At the micro-level, 26 concepts enrich the literature by supporting the backbone.
Determinant on Economic Growth in Developing Country: A Special Case Regarding Turkey and Bangladesh
Authors: Bazaluk Oleg , Kader Sheikh Abdul , Zayed Nurul Mohammad , Chowdhury Rupok , Islam Md. Zahirul , Nitsenko Vitalii S. , Bratus Hanna 
Published: April 2024

AbstractThis study delves into the complex interplay between gross domestic product (GDP) and key macroeconomic indicators in the contexts of Turkey and Bangladesh. By examining panel data spanning from 1981 to 2020 sourced from the World Bank, we investigate the causal relationships between GDP growth and various factors including population growth, inflation, literacy rate, natural resource utilization, investment, and foreign direct investment (FDI). Our research aims to address critical questions regarding the economic trajectories of these two emerging economies. Specifically, we seek to understand how different macroeconomic variables influence GDP growth in Bangladesh and Turkey, while also exploring the unique socio-economic landscapes of these nations. Methodologically, we employ the Dumitrescu–Hurlin panel causality test to analyze the causal relationships between GDP growth and the aforementioned macroeconomic indicators. Our findings reveal direct, statistically significant associations between GDP growth and these variables, with population growth emerging as a particularly influential factor. The implications of our study extend beyond empirical observations, offering valuable insights for policymakers and stakeholders seeking to foster sustainable economic development in both Bangladesh and Turkey. By identifying the key drivers of GDP growth and their impact on economic performance, our research contributes to the existing body of literature on economic development in emerging economies. In conclusion, this study sheds light on the intricate dynamics of GDP growth in Turkey and Bangladesh, highlighting the importance of understanding and leveraging macroeconomic indicators to promote inclusive and sustainable economic growth in these nations.
The Law of Social Enterprises: Surveying a New Field of Research
Authors: Fleischer Holger , Pendl Matthias 
Published: April 2024

AbstractSocial enterprises are becoming increasingly popular across the globe. They are seen, particularly by younger generations, as an exceptionally promising organizational model. More recently, the idea to tackle social challenges with entrepreneurial means has also been met warmly by policymakers. However, the legal framework for social enterprises remains poorly developed and legal analysis of the subject matter in academia is only slowly gaining momentum. Against this background, this article outlines the multifaceted, real-world phenomenon of social enterprises in business practice and management research, whereby different patterns of thought in Europe on the one hand and in the United States on the other can be identified. It then introduces the (corporate) law of social enterprises, especially the development of new organizational forms, and takes stock of this gradually emerging field of research in Germany, Europe, and the United States. Furthermore, it addresses research perspectives and open questions in the new field of social enterprise law, highlighting,inter alia, that one should distinguish more strongly than before between different models of social enterprises and organizational forms when considering a new legislative creation.
The Effect of Thymoquinone on the TNF-α/OTULIN/NF-κB Axis Against Cisplatin-İnduced Testicular Tissue Damage
Authors: Yalçın Tuba , Kaya Sercan , Yiğin Akın , Ağca Can Ali , Özdemir Deniz , Kuloğlu Tuncay , Boydak Murat 
Published: April 2024

AbstractOne of the adverse effects of the antineoplastic drug cisplatin (CS) is damage to testicular tissue. This study aimed to examine the potential therapeutic effect of thymoquinone (TQ), a strong antioxidant, against testicular damage caused by CS. In the experiment, 28 rats were used, and the rats were randomly divided into four groups: control (n = 7), CS (n = 7), CS + TQ (n = 7), and TQ (n = 7). The experiment was called off after all treatments were finished on day 15. Blood serum and testicular tissues were utilized for biochemical, histological, immunohistochemical, mRNA expression, and gene protein investigations. The testosterone level decreased and oxidative stress, histopathological damage, dysregulation in mitochondrial dynamics, inflammation and apoptotic cells increased in testicular tissue due to CS administration. TQ supplementation showed anti-inflammatory, antioxidant, and anti-apoptotic effects in response to CS-induced testicular damage. In addition, TQ contributed to the reduction of CS-induced toxic effects by regulating the TNF-α/OTULIN/NF-κB pathway. TQ supplementation may be a potential therapeutic strategy against CS-induced testicular damage by regulating the TNF-α/OTULIN/NF-κB axis, inhibiting inflammation, oxidative stress, and apoptosis.
Waste Prediction Approach Using Hybrid Long Short-Term Memory with Support Vector Machine
Authors: Fatovatikhah Farnaz , Ahmedy Ismail , Noor Rafidah Md 
Published: April 2024

AbstractAs climate change increases the risk of extreme rainfall events, concerns over flood management have also increased. To recover quickly from flood damage and prevent further consequential damage, flood waste prediction is of utmost importance. Therefore, developing a rapid and accurate prediction of flood waste generation is important in order to reduce disaster. Several approaches of flood waste classification have been proposed by various researchers, however only a few focus on prediction of flood waste. In this study, a Long Short-Term Memory (LSTM) and Support Vector Machine (SVM) approach is adapted to address these challenges. Two different raw datasets were obtained from the “Advancing Sustainable Materials Management: Facts and Figures 2015” source. The datasets were for 9 years (1960, 1970, 1980, 1990, 2000, 2005, 2010, 2014, 2015), and are labelled as the materials generated in the Municipal Waste Stream from 1960 to 2015 and the materials Recycled and Composted in Municipal Solid Waste from 1960 to 2015. The waste types were grouped as paper and paperboard (PP), glass (GI), metals (Mt), plastics (PI), rubber and leather (RL), textiles (Tt), wood (Wd), food (Fd), yard trimmings (YT) and miscellaneous inorganic wastes (IW).
Experimental investigation of a Y-shaped engine inlet at subsonic flow conditions
Authors: Küçük U.C. 
Published: April 2024

AbstractIn this paper, the results of an experimental investigation for a Y-shaped engine inlet are presented. The experiment is performed at subsonic flow conditions. The main focus is given to time-dependent total pressures measured at the aerodynamic interface plane. Distinctive frequencies carrying high energy contents of the fluctuating total pressures are given and the relation between time-dependent and time-average performance parameters is presented. The cross-correlation coefficients of the high frequency probe readings distributed through the aerodynamic interface plane are also investigated.
Gas turbine prognostics via Temporal Fusion Transformer
Authors: Fentaye A.D. , Kyprianidis K.G. 
Published: April 2024

AbstractGas turbines play a vital role in various industries. Timely and accurately predicting their degradation is essential for efficient operation and optimal maintenance planning. Diagnostic and prognostic outcomes aid in determining the optimal compressor washing intervals. Diagnostics detects compressor fouling and estimates the trend up to the current time. If the forecast indicates fast progress in the fouling trend, scheduling offline washing during the next inspection event or earlier may be crucial to address the fouling deposit comprehensively. This approach ensures that compressor cleaning is performed based on its actual health status, leading to improved operation and maintenance costs. This paper presents a novel prognostic method for gas turbine degradation forecasting through a time-series analysis. The proposed approach uses the Temporal Fusion Transformer model capable of capturing time-series relationships at different scales. It combines encoder and decoder layers to capture temporal dependencies and temporal-attention layers to capture long-range dependencies across the encoded degradation trends. Temporal attention is a self-attention mechanism that enables the model to consider the importance of each time step degradation in the context of the entire degradation profile of the given health parameter. Performance data from multiple two-spool turbofan engines is employed to train and test the method. The test results show promising forecasting ability of the proposed method multiple flight cycles into the future. By leveraging the insights provided by the method, maintenance events and activities can be scheduled in a proactive manner. Future work is to extend the method to estimate remaining useful life.