bluuebunny/crossref_metadata_2025_split huggingface dataset:
Maintenance optimization based on modified FMECA: a case study applied to a spinning factory
Authors: ElKasrawy Nepal H. , Farouk Hala A. , Youssef Yehia M. 
Published: November 2024

Abstract
Maintenance expenditures contribute to a considerable part of the cost in industrial companies. Accordingly, Failure Mode Effects and Criticality Analysis (FMECA) is used to rationalize the efforts and expenditures dedicated to the maintenance of engineering systems by ranking different industrial systems’ components regarding their criticality to keep them operating reliably. In this study, additional operational parameters were considered to improve the FMECA-derived maintenance schedule, which is anticipated to result in a large reduction in maintenance costs, since the majority of the examined articles discussed their investigations using the commonly used FMECA. As a case study, two main machines of a spinning factory are selected. FMECA application entails possible failure modes analysis of each component. Relative failure mode frequency and severities are obtained from consulting experienced engineers’ and managers’ opinions. Accordingly, the corresponding criticality index is calculated. Risk Priority Number (RPN) is employed to rank different machine components regarding their criticalities and a Relative Risk Priority Number (RRPN) is proposed to decide their most appropriate maintenance policy after considering the operational parameters.
A novel hybrid fuzzy analytical hierarchy process–game theory model for prioritizing factors affecting the deterioration of water pipelines
Authors: Abdelkader Eslam Mohammed , Zayed Tarek , Elshaboury Nehal 
Published: November 2024

AbstractWater pipes face significant aging and degradation problems due to several pipe-related, soil-related, operational, and environmental factors. Hence, the paramount objective of this research paper is to prioritize the criticality of the factors affecting the deterioration of water pipes in Hong Kong. The framework of the developed model is envisioned based on two main modules, namely weight computation and weight aggregation. The first module incorporates identifying and categorizing water deterioration factors. Then, the relative importance priorities of water deterioration factors are scrutinized using seven weight computation methods. These methods encompass analytical hierarchy process (AHP), Monte Carlo AHP, fuzzy AHP, magnitude-based fuzzy AHP, total difference-based fuzzy AHP, spherical fuzzy AHP and Pythagorean fuzzy AHP. In this regard, fuzzy-based and Monte Carlo-based methods are leveraged to circumvent the critical shortcomings of classical AHP. The performances of weight computation methods are analyzed using statistical evaluation indicators of satisfactory index (SAT) and distance between weights (WD). The second module is a hybrid meta-heuristic-based game theory model designated for compiling the importance weights of deterioration factors obtained from the first module. In this context, a set of widely acclaimed meta-heuristics are exploited and examined for optimizing the significance of deterioration factors. Analytical results exemplified that soil-related factors implicate the deterioration process more than pipe-related, operational-related, and environmental-related factors. It was also inferred that water pressure (6.64%) is the most significant factor influencing water pipe deterioration followed by internal corrosion and protection method (6.11%), and then soil corrosivity (6.05%). On the other hand, length (1.93%), rain deficit (1.97%), and street block length (2.33%) constitute the least influencers on water pipe deterioration. Results also demonstrated that spherical FAHP outperformed other variants of AHP accomplishing SAT and WD of 0.065 and 0.057, respectively. Comparative analysis revealed that particle swarm optimization-based game theory is a better mechanism than the remainder of meta-heuristic-based game theory models in obtaining a more accurate compromised-based weighting vector to the experts’ judgments. It is envisaged that this research can assist the water supplies department in identifying, assessing, and prioritizing the impairment causes of water pipelines in Hong Kong. It can also aid in establishing more accurate deterioration models and more cost-effective maintenance intervention programs.
Flight testing of laser-optical techniques for future optical air data sensors
Authors: Kliebisch Oliver , Lorbeer Raoul-Amadeus , Mahnke Peter , Damm Matthias , Dietz Georg , Fuchs Thomas , Burwitz Sebastian 
Published: November 2024

AbstractOptical air data sensors, which can serve as alternatives or supplements to traditional air data systems, have been a subject of ongoing research. These remote sensing optical sensors offer the advantage of measuring primary air data parameters in undisturbed airflow. As active sensors, they can self-diagnose, associating each measurement with an uncertainty and accounting for signal loss due to factors such as icing or light blocking, thus avoiding silent false measurements. In this paper, we discuss a recent flight test campaign of optical measurement techniques for potential development into air data sensors for future aircraft. We used laser Doppler anemometry, which relies on aerosol scattering of laser light, to observe the Doppler shift of scattered light from multiple directions. This enables the reconstruction of the full wind vector and the retrieval of true air speed, angle of attack, and angle of sideslip. A second instrument used tunable diode laser absorption spectroscopy, which measures an individual transition of molecular oxygen in the A band, in order to extract the static pressure from the observed collisional broadening. The techniques were implemented as airborne research instruments on the DLR’s Dassault Falcon 20 aircraft and tested in two campaigns in 2022 under different atmospheric conditions and dynamic maneuvers. We present results from these campaigns, focusing on general sensor performance, measurement rates, accuracy, and experimental challenges that need to be addressed for future applications.
Spatial synergies for urban foraging: A South African example
Authors: Sardeshpande Mallika , Shackleton Charlie 
Published: November 2024

Abstract
Urban foraging for wild plant and animal products is increasingly recognised for its multiple benefits for people and nature stewardship. Planning for foraging in urban greenspace is one way that foraging can be made more accessible, beneficial, and equitable. Here, we explore how foraging could be recognised and provided for in urban municipalities in eastern South Africa. We synthesise forager and land manager interviews, policy analysis, and iterative discussions to develop four land use configurations under which foraging could be planned for. Design principles for community-based natural resource management are used to assess the feasibility of each configuration. We identify stakeholders who would be involved in governing each configuration, and how urban foraging can co-produce desirable outcomes for their priorities. We list locally-specific actions to enable collaborative greenspace governance through urban foraging. We suggest some generally applicable design considerations and implications for each of the four configurations.
Host-parasite interactions between Xenoglossa pruinosa (Apidae: Eucerini) and Triepeolus remigatus (Apidae: Epeolini) are characterized by tolerance and avoidance
Authors: Sandoval-Arango Stephania , Baker Thomas C. , López-Uribe Margarita M. 
Published: November 2024

AbstractIn cleptoparasitic bees, host aggression and detection avoidance might be the main selective pressures shaping host-parasite interactions. However, the behavioral responses toward parasitism are unknown for most host species. In this study, we investigated the host-parasite interactions and behaviors of the cleptoparasitic bee Triepeolus remigatus when parasitizing the nests of its host, the squash bee Xenoglossa (Peponapis) pruinosa. Using circle-tube behavioral assays and direct observations at a nest aggregation of X. pruinosa, we assessed whether interactions between host and parasite were aggressive, tolerant, or avoidant and characterized the general parasitic behavior of T. remigatus. Our results reveal a lack of aggression between host and cuckoo bees, with interactions primarily characterized by tolerant and avoidant behaviors. Squash bees displayed minimal aggression toward both conspecifics and parasites. Interestingly, despite the absence of aggressive responses, T. remigatus preferred entering nests while the host was foraging, potentially indicating a strategy to avoid the discovery of parasitic visits. Furthermore, field observations provided insights into the parasitic behavior of T. remigatus, revealing primarily rapid visits to host nests without extensive inspection. The limited aggression and short time for nest visits observed in T. remigatus suggest adaptations to optimize parasitic success while minimizing host detection. Overall, our findings contribute to a better understanding of the behavior of open-cell parasites and provide a first accounting of the squash bee behavior when encountering parasitic bees. Further research is needed to elucidate the mechanisms underlying host-parasite coevolution and response to parasitism in ground-nesting bees.
Transition from primary to lower secondary school in Austria. Findings from a longitudinal study during COVID-19
Authors: Berger Fred , Kraler Christian , Schreiner Claudia 
Published: November 2024

AbstractTransition from the familiar environment of primary school to the larger, more complex setting of secondary school is, for most students, marked by social and academic challenges as well as a need to fit in. The aim of this contribution is to investigate the possible impact of achievement-related personal resources and social support in coping with the developmental task of transitioning from primary to lower secondary school during COVID-19. We make the assumption that a sudden shift to distance learning due to the pandemic intensified the challenges of transitioning to secondary school and led to educational disadvantage, in particular for students who were struggling with the demands of self-regulated distance learning.Data were generated from a longitudinal study carried out in a rural-alpine region of Austria in 2021 and 2022. During the time where COVID-19 was affecting education, 188 pupils were surveyed in the year prior to and after their transition from primary to lower secondary school. In order to analyse the impact of achievement-related personal resources and social support, a multivariate hierarchical regression analysis was conducted.Results showed that managing the transition to lower secondary school relied heavily upon pupils’ ability to cope with self-regulatory demands of distance learning, their achievement-related personal resources and social integration in class in primary school. However, from the findings, we can conclude that social support in secondary school also plays an important role. The ability to cope with social and academic demands in secondary school is at a higher level when pupils receive school-related support from their parents, recognise their school climate as supportive and perceive their teachers’ expertise in judging academic achievements as high.
Parental warmth in mother-child dyads and children’s emotional adjustment during secondary-school transition: a longitudinal investigation on bidirectional relationships
Authors: Gniewosz Gabriela , Gniewosz Burkhard 
Published: November 2024

AbstractThe transition from primary to secondary school affects children’s psychological functioning, necessitating resources for (post-)transition adaptation. Maternal warmth serves as a valuable resource, buffering against negative transition effects on emotional adjustment. Nevertheless, little is understood about the bidirectional effects of (divergent) mother-child reports on emotional adjustment during the transition to secondary school. Data from 2101 German children (48.8% female, Mage T1 = 8.57, SDage = 0.58) and their mothers (Mage T1 = 36.28, SDage = 4.49) from the pairfam panel, collected over seven annual waves from the children’s 3rd to 9th grades, were used. Random intercept cross-lagged panel models were employed to examine within-family cross-lagged effects. The findings suggest that early in the transition to secondary school, low levels of maternal warmth and heightened emotional problems in children tend to co-occur and mutually reinforce each other over time. However, discrepancies in perceptions between mothers and children appear to have positive normative consequences rather than enduring negative impacts on children, particularly before the transition to secondary school. The results are discussed considering the progressing school transition, with additional developmental changes, such as puberty, potentially leading to changes in perceived and actual maternal warmth and emotional problems in children.
Lehrerhandeln als Entscheiden – eine praxeologisch-wissenssoziologische Konzeptualisierung des Professionswissens von Lehrpersonen
Authors: Bakels Elena , Bonnet Andreas , Hericks Uwe 
Published: November 2024

ZusammenfassungIn unserem Beitrag stellen wir erste empirische Ergebnisse aus unserem Forschungsprojekt „Professionalisierung von Lehrpersonen der Fächer Mathematik und Englisch“ (ProME) vor. Wir untersuchen die Frage, wie Lehrpersonen zu ihren alltäglichen Handlungsentscheidungen kommen und welche Rolle (organisationale, gesellschaftliche und fachbezogene) Normen in diesen Entscheidungsprozessen spielen. Als Erhebungs- und Auswertungsmethode dienen das episodische Interview und die Dokumentarische Methode. Metatheoretische Grundlage ist eine (Neu‑)Fassung des Entscheidungsbegriffs: Entscheidungen werden an die Definition des Orientierungsrahmens im weiteren Sinne der Praxeologischen Wissenssoziologie nach Bohnsack angebunden und mit Bezugnahme auf Luhmann als mit Kontingenzreduktion verbundene Reaktionen auf Erwartungen verstanden. In den empirischen Analysen dieses Beitrags fokussieren wir auf eine Englisch- und zwei Mathematiklehrpersonen und zeigen, wie diese in Entscheidungsprozessen routinisiert Habitus-Norm-Spannungen bearbeiten, was uns einen Zugang zum Orientierungsrahmen im weiteren Sinne eröffnet. Davon unterscheiden lassen sich nicht-routinisierten Entscheidungen, in welchen wir ein Potenzial für Transformationen des Habitus sehen.
A newly developed method for assessing co-exposure to free dose combinations: a proof-of-concept study using antihypertensive medications in Danish registers
Authors: Barbieri Maria Antonietta , Nielsen Sidse Marie Neumann , Rossi Andrea , Olmastroni Elena , Casula Manuela , Spina Edoardo , Sessa Maurizio 
Published: November 2024

Abstract
Background
Elevated blood pressure is a major risk factor for severe medical conditions. Adherence to antihypertensive medication, especially in free-dose combinations, poses a significant challenge. This study aims to develop a novel method for assessing co-exposure to free-dose antihypertensive medications using secondary data sources.

Methods
A register-based cohort study was conducted on individuals aged 65 years or older in Denmark who initiated antihypertensive therapy from 1996 to 2016 and followed for 730 days from the index date. A new method was developed to assess co-exposure to antihypertensive medications through redeemed prescriptions, treatment episodes, and overlapping medication events. The method's accuracy was evaluated using a random sample of 400 individuals.

Results
A total of 1,021,819 individuals were included in the study, with a mean age of 68.8 years, and 53.7% were women. The method achieved 100% accuracy in identifying co-exposure periods. During the early stage of the follow-up (0–180 days), 54.1% of individuals were co-exposed to at least two antihypertensive medications, while 37.5% were co-exposed during the late stage of the follow-up period (181–730 days). The most frequent antihypertensive combinations included bendroflumethiazide and potassium with either amlodipine or enalapril in the early (13.2% and 12.5% of patients, respectively) and late stages (16.9% and 15.0% of patients, respectively).

Conclusions
The newly developed method effectively assesses co-exposure to antihypertensive medications, overcoming previous limitations. The findings reveal common co-exposure combinations and evolving trends in antihypertensive medication use among older individuals, reflecting changes in clinical practice and guidelines over two decades.
Stress shadow effects in multistage horizontal hydrofracturing of tight reservoirs: a numerical analysis considering perforation cluster spacings and fracturing sequences
Authors: Ju Yang , Song Jinxin , Wang Yongliang 
Published: November 2024

AbstractMultistage horizontal fracturing technology of reservoirs has been widely used to enhance tight hydrocarbon resource recovery. Determining the proper perforation cluster spacing is crucial to developing a complex fracture network that connects natural rock fractures and facilitates gas flow in reservoirs. The stress shadow effect that occurs between multiple clusters has a significant effect on the development of the fracture network in reservoirs. The quantification of the stress shadow effect and its influences on the development of fracture networks has not been resolved satisfactorily due to experimental and numerical difficulties with detecting and identifying crack propagation and intersection in deep reservoirs. In this study, we used an adaptive finite element-discrete element method to analyze crack propagation and intersection in tight shale reservoirs by altering perforation spacings and fracture sequences. The effects of five perforation cluster spacings using sequential, simultaneous and parallel fracturing techniques were compared. The non-linear properties of shales, hydromechanical coupling and fluid leak-off effects, proppant transport, dual-rupture criteria of strength and energy, and intersection of hydraulic fractures were taken into account in the simulation. The areas affected by the stress shadow and the optimum perforation cluster spacing in terms of hydraulic fracture propagation lengths, volumes, and microseismic magnitudes were evaluated when adopting different fracturing methods. This study extends the understanding of the impact of the different independent factors that contribute to the stress shadow effect and, therefore, provides new information to help guide wellbore completion design in horizontal fracturing wells.
A structural equation modeling approach to leveraging the power of extant sentiment analysis tools
Authors: Lebakula Viswadeep , Porter Ben , Stubbs-Richardson Megan , Ray Taylor , Cosby Arthur , Bethel Cindy 
Published: November 2024

Abstract
Machine-derived sentiment analysis has become a pervasive and useful tool to address a wide array of issues in natural language processing. Leading technology companies such as Google now provide sentiment analysis tools (SATs) as readily accessible online products. Academic researchers develop and make available SATs to support the research enterprise. One of the major challenges with SATs is the inconsistencies in results among the various SATs. Consequently, the selection of a SAT for a specific purpose may significantly impact the application. This study addresses the foregoing problem by utilizing structural equation modeling to merge the outputs of SATs to develop a combined sentiment metric without the need for a labeled training dataset. This method is applicable to a wide range of text-based problems, is data-driven, and replicable. It was tested using three publicly available datasets and compared against seven different SATs. The results indicate that as a continous measure, the proposed method outperformed other SATs in the movie reviews and SemEval datasets, and achieved a tie for first place with IBM Watson on the Sentiment 140 dataset. Also, compared to the published major alternatives, the arithmetic mean solution, this approach performed better across these three datasets.
Cav3.3-mediated endochondral ossification in a three-dimensional bioprinted GelMA hydrogel
Authors: Wang Zhi , Wang Xin , Huang Yang , Yang Junjun , Wan Zu , Fu Zhenlan , Gong Xiaoyuan , Chen Guangxing , Yang Liu 
Published: November 2024

软骨内成骨软骨内成骨 (EO) 是生长板组织内介导长骨发育的重要生物学过程. 骨类器官能够模拟天然生长板中组织结构与细胞间通信的生理功能, 是一种潜在的长骨发育研究模型. 但如何有效模拟EO过程一直是骨类器官构建中尚未解决的核心难题. 为了模拟EO这一有序的矿化过程, 本文首次揭示了T型电压依赖性钙通道 (T-VDCC) 的Cav3.3亚型在EO过程中主要表达于软骨细胞, 并且与软骨细胞的肥大分化呈负相关这一生物学机制, 并基于此机制设计了负载shCav3.3 ATDC5细胞的明胶甲基丙烯酰 (GelMA) 水凝胶生物墨水, 且进一步评估了这种生物墨水的生物打印性能. 最后, 本研究通过负载Cav3.3敲低的软骨细胞构建了GelMA水凝胶模型, 成功在体外模拟了EO过程, 为构建分层有序矿化的骨类器官提供了一种新型的生物墨水. 因此, 本研究不仅为骨类器官构建中的EO进程调控提供了潜在的研究靶点, 也为模拟EO过程提供了新的策略.
Time-Optimal Guidance Laws Using a Frequency Domain Approach for Spacecraft Rendezvous
Authors: Oh Seungryeol , Bang Hyochoong 
Published: November 2024

Abstract
This paper proposes a novel approach to solving the time-optimal rendezvous problem for spacecraft in orbit. Initially, the characteristics of the time-optimal rendezvous solution in the in-plane motion of the relative equations of motion are analyzed using the direct collocation method. A time-delay filter is designed in the frequency domain using the analysis results. And then, it transforms the time-optimal control problem into a parameter optimization problem. By solving this optimization problem, the switching times of the bang–bang control profile can be determined. The effectiveness of the proposed method is examined through various simulations, demonstrating its ability to resolve the discontinuities caused by the bang–bang control profile while also being effectively applicable under various boundary conditions. Additionally, the proposed method turns out to be robust against disturbances through real-time application.
Digital business world and ethical dilemmas: a systematic literature review
Authors: Fülöp Melinda Timea , Ionescu Constantin Aurelian , Topor Dan Ioan 
Published: November 2024

AbstractThe digital transition in the business world emerged as a necessity during the health crisis. Along with businesses transitioning into the innovative digital sphere, ethical issues also appeared. To switch to new technologies, companies must not only be aware of but also engage in digital practices and, last but not least, consider the importance of ethics. Talking about ethics in business is easy since we have a series of guidelines. It becomes more complicated when we face digital ethics and robots that do not have morals. Such a transition requires companies to rethink and innovate their business models and how they offer their customers value, while simultaneously considering digital ethical matters and even environmental and social aspects. This systematic literature review highlights—from the company's perspective—the key topics that characterize digitalization and the crucial role of ethics, describing the internal and external factors to consider in transition processes. The research results propose a series of guidelines but also open up new research opportunities to facilitate the digital transition in the business environment while respecting its ethical aspects. The main contribution of the research is to the specialist literature, deepening the topic and identifying some key aspects regarding the crucial role of ethics in the digital transition.