bluuebunny/crossref_metadata_2025_split huggingface dataset:
Consumer‐brand identification and happiness in experiential consumption
Authors: Sato Mikihiro , Yoshida Masayuki , Doyle Jason , Choi Wonjun 
Published: June 2023

AbstractAlthough the marketing literature has extensively studied consumer‐brand identification, scholars have not fully explored its well‐being benefits. Drawing from the social identity approach and the bottom‐up theory of subjective well‐being, we examine how consumer‐brand identification can be a source of happiness in experiential consumption settings. We conduct two studies to test the proposed research model. In Study 1, results from 322 fans of a professional football team show that consumer happiness positively mediates the association between consumer‐brand identification and overall happiness. We subsequently conduct a partial‐least‐square multigroup analysis with three groups (nonpurchase, one‐time‐purchase, and repeat‐purchase) based on purchase frequency during the season. The results reveal that the path coefficient between consumer‐brand identification and consumer happiness is stronger in the one‐time‐purchase group than in the nonpurchase group. In Study 2, we reexamine the proposed model while accounting for the effects of core product quality. Results from 500 fans of a professional baseball team support Study 1's findings. Overall, our findings add to the knowledge surrounding the well‐being benefits of consumer‐brand identification and demonstrate the role of experiential consumption in facilitating happiness.
Efficacy of apraclonidine eye drops in treating ptosis secondary to myasthenia gravis: A pilot clinical trial
Authors: Agha Mohamad , Ismail Helen , Sawaya Raja , Salameh Johnny 
Published: June 2023

AbstractIntroduction/AimsMost patients with myasthenia gravis (MG) develop ocular manifestations during their illness and up to 22% may have isolated ocular myasthenia gravis (OMG). Apraclonidine elevates the eyelid by activating alpha‐2 receptors on Muller's muscle, an accessory eyelid elevator muscle. In this study we evaluate the effect of apraclonidine in alleviating ptosis secondary to MG.MethodsThis clinical trial (NCT05045248) was done at the American University of Beirut Medical Center. Patients with ptosis secondary to MG were administered two drops of apraclonidine 0.5% solution to the most affected eye. We measured palpebral fissure height (PF), marginal reflex distance‐1 (MRD1), marginal reflex distance‐2 (MRD2), and levator function (LF) before drug administration and at 1, 5, 30, and 60 minutes after administration.ResultsTen participants were enrolled in the study. Improvement in all eyelid measurements was noted in all participants as early as 1 minute after apraclonidine administration. From baseline to 60 minutes after administration, average PF increased from 8.8 ± 1.9 mm to 14.2 ± 2.6 mm, MRD‐1 from 1.7 ± 1.4 mm to 5.4 ± 2.9 mm, MRD‐2 from 7.1 ± 1.3 mm to 8.8 ± 1.7 mm, and LF from 13.4 ± 2.9 mm to 17.5 ± 2.4 mm. All increases were statistically significant.DiscussionApraclonidine may alleviate ptosis secondary to MG and may be an effective alternative treatment for this group of patients.
α‐Fe2O3@Ag and Fe3O4@Ag Core‐Shell Nanoparticles: Green Synthesis, Magnetic Properties and Cytotoxic Performance
Authors: Sarani Mina , Hamidian Khadijeh , Barani Mahmood , Adeli‐Sardou Mahboubeh , Khonakdar Hossein Ali 
Published: June 2023

AbstractThis work provides the synthetic route for the arrangement of Fe3O4@Ag and α‐Fe2O3@Ag core‐shell nanoparticles (NPs) with cytotoxic capabilities. The production of Fe3O4@Ag and α‐Fe2O3@Ag core‐shell NPs was facilitated utilizing S. persica bark extracts. The results of Powder X‐ray Diffraction (PXRD), Ultraviolet‐visible (UV‐Vis) spectroscopy, Vibrating Sample Magnetometry (VSM), Energy Dispersive X‐ray (EDX) analysis, Field Emission Scanning Electron Microscopy (FESEM), and Transmission Electron Microscopy (TEM) supported the green synthesis and characterization of Fe3O4@Ag and α‐Fe2O3@Ag NPs. The particle size was measured by the TEM analysis to be about 30 and 50 nm, respectively; while the results of FESEM showed that α‐Fe2O3@Ag and Fe3O4@Ag particles contained multifaceted particles with a size of 50–60 nm and 20–25 nm, respectively. The outcomes of VSM were indicative of a saturation magnetization of 37 and 0.18 emu/g at room temperature, respectively. The potential cytotoxicity of the synthesized core‐shell nanoparticles towards breast cancer (MCF‐7) and human umbilical vein endothelial (HUVEC) cells was evaluated by an MTT assay. α‐Fe2O3@Ag NPs were able to destroy 100 % of MCF‐7 cell at doses above 80 μg/mL, and it was confirmed that Fe3O4@Ag NPs at a volume of 160 μg/mL can destroy 90 % of MCF‐7 cells. Thus, the applicability of the prepared nanoparticles of these nanoparticles in biological and medical fields has been demonstrated.
Using a multi‐lens framework for landscape decisions
Authors: Cole Beth , Bradley Andrew V. , Willcock Simon , Gardner Emma , Allinson Ewan , Hagen‐Zanker Alex , Calo Adam J. , Touza Julia , Petrovskii Sergei , Yu Jingyan , Whelan Mick 
Published: June 2023

AbstractLandscape decisions are multi‐faceted. Framing landscape decision‐making as a governance process that requires a collective approach can encourage key stakeholders to come together to co‐inform a discussion about their priorities and what constitutes good governance, leading to more holistic landscape decisions.In this paper, we recognise that a suite of complementary and multi‐dimensional approaches are in practice used to inform and evaluate land use decisions. We have called these approaches ‘lenses’ because they each provide a different perspective on the same problem. The four lenses are (i) power and market gain, (ii) ecosystem services, (iii) place‐based identity and (iv) ecocentric. Each brings a different set of evidence and viewpoints (narrative, qualitative and experiential, as well as quantitative metrics such as monetary) to the decision‐making process and can potentially reveal problems and solutions that others do not.Considering all lenses together allows dialogue to take place which can reveal the true complexities of landscape decision‐making and can facilitate more effective and more holistic decisions. Employing the lenses requires governance structures that give equal weight to all lenses, enable dialogue and coexistence between top down and bottom‐up approaches, and permit adaptation to local and granular place‐specifics rather than developing “one‐size‐fits‐all” solutions.We propose that formalising the process of balancing all the lenses requires public participation, and that a lens approach should be used to support landscape decisions alongside a checklist that facilitates transparency in the conversation, showing how all evidence has been considered and critically assessed.Read the freePlain Language Summaryfor this article on the Journal blog.
Minimal residual disease predicts outcomes in KMT2A‐rearranged but not KMT2A‐germline infant acute lymphoblastic leukemia: Report from Children's Oncology Group study AALL0631
Authors: Faulk Kelly E. , Kairalla John A. , Dreyer ZoAnn E. , Carroll Andrew J. , Heerema Nyla A. , Devidas Meenakshi , Carroll William L. , Raetz Elizabeth A. , Loh Mignon L. , Hunger Stephen P. , Borowitz Michael , Wang Cindy , Guest Erin , Brown Patrick A. 
Published: June 2023

AbstractWe measured minimal residual disease (MRD) by multiparameter flow cytometry at three time points (TP) in 117 infants with KMT2A (lysine [K]‐specific methyltransferase 2A)‐rearranged and 58 with KMT2A‐germline acute lymphoblastic leukemia (ALL) on Children's Oncology Group AALL0631 study. For KMT2A‐rearranged patients, 3‐year event‐free survival (EFS) by MRD‐positive (≥0.01%) versus MRD‐negative (<0.01%) was: TP1: 25% (±6%) versus 49% (±7%; p = .0009); TP2: 21% (±8%) versus 47% (±7%; p < .0001); and TP3: 22% (±14%) versus 51% (±6%; p = .0178). For KMT2A‐germline patients, 3‐year EFS was: TP1: 88% (±12%) versus 87% (±5%; p = .73); TP2: 100% versus 88% (±5%; p = .24); and TP3: 100% versus 87% (±5%; p = .53). MRD was a strong independent outcome predictor in KMT2A‐rearranged, but not KMT2A‐germline infant ALL.
Primary school teacher's emotion regulation: Impact on occupational well‐being, job burnout, and resilience
Authors: Li Lu , Huang Long , Liu Xiang‐ping 
Published: June 2023

AbstractEmpirical studies have demonstrated the importance of emotion regulation for teachers' professional development. We adopted a person‐centered approach to explore primary school teachers' emotion regulation and its impact on occupational well‐being, job burnout, and resilience. To understand the potential types of emotion regulation, we conducted a survey in different primary schools. Both antecedent‐ and response‐focused emotion regulation are important strategies; previous studies revealed that the former is superior to the latter. However, there is a lack of person‐centered research on the pros and cons of such emotion regulation. 366 primary school teachers (333 female teachers; Mage = 37.30, SDage = 9.46) participated in this survey. The emotion regulation patterns were clarified based on latent profile analysis (LPA). The results revealed associations among these patterns and job burnout, occupational well‐being and resilience. LPA revealed the following: (1) three typical emotion regulation types: the low antecedent‐ and low response‐focused emotion regulation group (12%), the high antecedent‐ and low response‐focused emotion regulation group (63%), and the low antecedent‐ and high response‐focused emotion regulation group (25%). (2) The teachers in the high antecedent‐ and low response‐focused emotion regulation group had the lowest level of job burnout and the highest level of occupational well‐being. Those in the low antecedent‐ and low response‐focused emotion regulation group had the strongest psychological resilience.
Enhancing first‐grade students' social skill performance: The interaction of tootling and activities on social skill engagement
Authors: Crewdson Margaret , Skinner Christopher H. , Wilson Chelsea , Fowler Kristen , Richardson Robert , Wilhoit Brian 
Published: June 2023

AbstractWe extended research on social skills training to determine if the activities first‐grade students were engaged in while Tootling would influence their performance of two recently trained social skills: complimenting and encouraging peers. After receiving social skills training, students engaged in two experimental small‐group activities, a cooperative activity and a parallel‐play activity. During both activities, a Tootling intervention was applied and interdependent group rewards (e.g., every student in the class receives the reward) were delivered contingent upon the number of peer reports of classmates providing compliments and encouragements meeting an unknown, randomly selected criterion. Students also engaged in their typical classroom activity, an individual competition, without Tootling. Statistical analysis indicated that during the cooperative‐play activity there were significantly higher levels of complimenting and encouraging than during the parallel‐play and individual competition activities. More compliments were delivered during the parallel‐play activity than during the individual competition, but there was no significant difference in encouragements across the two conditions. Also, during the parallel‐play activity, compliments where higher than encouragements. These findings suggest that after social skills training, Tootling can enhance social skill performance when educators schedule activities that provide opportunities to engage in these recently trained skills. Discussion focuses on task and goal structures associated with activities and applied implications for enhancing social skill development.
Long COVID syndrome after SARS‐CoV‐2 survival in patients with pulmonary arterial hypertension and chronic thromboembolic pulmonary hypertension
Authors: Wieteska‐Miłek Maria , Kuśmierczyk‐Droszcz Beata , Betkier‐Lipińska Katarzyna , Szmit Sebastian , Florczyk Michał , Zieliński Piotr , Hoffman Piotr , Krzesiński Paweł , Kurzyna Marcin 
Published: June 2023

AbstractPulmonary arterial hypertension (PAH) and chronic thromboembolic pulmonary hypertension (CTEPH) patients have a more severe COVID‐19 course than the general population. Many patients report different persistent symptoms after SARS‐CoV‐2 infection. The aim of our study is to analyze the prevalence of long COVID‐19 symptoms and assess if COVID‐19 affects pulmonary hypertension (PH) prognosis. PAH/CTEPH patients who survived COVID‐19 for at least 3 months before visiting the PH centers were included in the study. The patients were assessed for symptoms in acute phase of SARS‐CoV‐2 infection and persisting in follow‐up visit, WHO functional class, 6‐min walk distance, NT‐proBNP concentration. The COMPERA 2.0 model was used to calculate 1‐year risk of death due to PH at baseline and at follow‐up. Sixty‐nine patients—54 (77.3%) with PAH and 15 (21.7%) with CTEPH, 68% women, with a median age of 47.5 years (IQR 37–68)—were enrolled in the study. About 17.1% of patients were hospitalized due to COVID‐19 but none in an ICU. At follow‐up (median: 155 days after onset of SARS‐CoV‐2 symptoms), 62% of patients reported at least 1 COVID‐19‐related symptom and 20% at least 5 symptoms. The most frequently reported symptoms were: fatigue (30%), joint pain (23%), muscle pain (17%), nasal congestion (17%), anosmia (13%), insomnia (13%), and dyspnea (12%). Seventy‐two percent of PH patients had a low or intermediate‐low risk of 1‐year death due to PH at baseline, and 68% after COVID‐19 at follow‐up. Over 60% of PAH/CTEPH patients who survived COVID‐19 suffered from long COVID‐19 syndrome, but the calculated 1‐year risk of death due to PH did not change significantly after surviving mild or moderate COVID‐19.
Robotic approach to the uretero‐vesical junction in children: An international multicentric retrospective study
Authors: Molinaro Francesco , Nascimben Francesca , Todesco Camilla , Fusi Giulia , Chiarella Elisa , Planchamp Thibault , Cobellis Giovanni , Abbo Olivier , Messina Mario , Angotti Rossella 
Published: June 2023

AbstractBackgroundRobot‐assisted approach to UVJ is getting more and more used in pediatric patients.MethodsIn this retrospective study 26 patients affected by nephro‐urological malformations, robotic‐surgically treated from 2016 and 2021 at 3 Pediatric Surgery Department were included: 3 (11.5%) primary obstructive megaureter, 2 (7.7%) dysplastic kidneys, 3 (11.5%) duplex collecting system, 18 (69.2%) primary vescico‐ureteral reflux (VUR).ResultsMean age at surgery was 6 years old. 22 (84.6%) underwent Lich Gregoire extravesical ureteral reimplantation, 4 (15.4%) total nephroureterectomy. Mean operative time was 230 min. No conversions or intraoperative complications. Median hospital stay was 4 days. There were 4 (15.38%) postoperative complications: 3 (11.54%) persistent VUR and 1 (3.84%) refluxing megaureter. 2 (7.7%) redo‐surgery.ConclusionsRobotic Surgery should be considered a safe and effective technique for treatment of UVJ anomalies in children, because it firstly allows surgeons to approach both upper and lower ureteral ends without modifying trocars’ placement.
Trustworthy artificial intelligence: A decision‐making taxonomy of potential challenges
Authors: Akbar Muhammad Azeem , Khan Arif Ali , Mahmood Sajjad , Rafi Saima , Demi Selina 
Published: June 2023

AbstractThe significance of artificial intelligence (AI) trustworthiness lies in its potential impacts on society. AI revolutionizes various industries and improves social life, but it also brings ethical harm. However, the challenging factors of AI trustworthiness are still being debated. This research explores the challenging factors and their priorities to be considered in the software process improvement (SPI) manifesto for developing a trustworthy AI system. The multivocal literature review (MLR) and questionnaire‐based survey approaches are used to identify the challenging factors from state‐of‐the‐art literature and industry. Prioritization based taxonomy of the challenges is developed, which reveals that lack of responsible and accountable ethical AI leaders, lack of ethics audits, moral deskilling & debility, lack of inclusivity in AI multistakeholder governance, and lack of scale training programs to sensitize the workforce on ethical issues are the top‐ranked challenging factors to be considered in SPI manifesto. This study's findings suggest revising AI‐based development techniques and strategies, particularly focusing on trustworthiness. In addition, the results of this study encourage further research to support the development and quality assessment of ethics‐aware AI systems.
Development of Thermal Displacement Prediction Model and Thermal Deformation Measurement Methods
Authors: Ota Koji , Mori Masahiko , Irino Naruhiro 
Published: June 2023

AbstractIn machine tools, it is important to maintain accuracy against heat in the entire machining space. The reduction of thermal displacement is achieved by measuring it accurately and then clarify the relationship between the temperature change and the thermal deformation and then creating the prediction and compensation model or applying the countermeasure to suppress the thermal deformation. To solve this issue, the authors have developed methods to measure thermal deformation in two-dimensional space using a laser tracker and cameras. A laser tracker method achieved higher accuracy and smaller measurement uncertainty. Vision-based methods achieved equivalent measurement accuracy to a laser tracker method at shorter measurement time and lower cost. To compensate thermal displacement, convolutional neural network model was developed. Thermal displacement was predicted from temperature sensors with higher accuracy than conventional models. These methods contribute to the development of higher precision machine tools.
Model Order Reduction Strategies for the Computation of Compact Machine Tool Models
Authors: Aumann Quirin , Benner Peter , Saak Jens , Vettermann Julia 
Published: June 2023

AbstractThe deviation of the tool center point (TCP) of a machine tool from its desired location needs to be assessed correctly to ensure an accurate and safe operation of the machine. A major source of TCP deviation are thermal loads, which are constantly changing during operation. Numerical simulation models help predicting these loads, but are typically large and expensive to solve. Especially in (real-time feedback) control settings, but also to ensure an efficient design phase of machine tools, it is inevitable to use compact reduced-order surrogate models which approximate the behavior of the original system but are much less computationally expensive to evaluate. Model order reduction (MOR) methods generate computationally efficient surrogates. Classic intrusive methods require explicit access to the assembled system matrices. However, commercial software packages, which are typically used for the design of machine tools, do not always allow an unrestricted access to the required matrices. Non-intrusive data-driven methods compute surrogates requiring only input and output data of a dynamical system and are therefore independent of the discretization method. We evaluate the performance of such data-driven approaches to compute cheap-to-evaluate surrogate models of machine tools and compare their efficacy to intrusive MOR strategies. A focus is put on modeling the machine tool via individual substructures, which can be reduced independently of each other.
Thermal Modal Analysis for Volumetric Error Characterization
Authors: Colinas-Armijo Natalia , Iñigo Beñat , López de Lacalle Luis Norberto , Aguirre Gorka 
Published: June 2023

AbstractThe volumetric accuracy of machine tools is significantly impacted by thermal errors, making the evaluation of volumetric accuracy a significant challenge for the manufacturing industry. Several technical solutions have been implemented, both at the industrial and research level, to address this issue. However, considering thermal errors in the volumetric error characterization adds complexity to the process and remains an open topic of research in the field.In this study, a novel volumetric error characterization technique based on simulated Thermal Modal Analysis is proposed for a three-axis machine tool. This approach involves analyzing the impact of thermal modes of the machine tool's structural elements on the volumetric error, providing a characterization that incorporates the physical meaning of the structure. This simulated characterization will serve as a foundation for future experiments that combine it with other techniques to achieve a comprehensive understanding of volumetric errors.
Improving the Thermal Behavior of High-Speed Spindles Through the Use of an Active Controlled Heat Pipe System
Authors: Jonath Lucas , Luderich Jörg , Brezina Jonas , Gonzalez Degetau Ana Maria , Karaoglu Selim 
Published: June 2023

AbstractThe thermo-elastic behavior of high-speed spindles has a significant influence on the machine accuracy. The Tool Center Point (TCP) changes continuously, not only due to the different temperature levels and energy inputs during warm-up, full-load and part-load operation, but also during interruptions for workpiece or tool changes. In this paper a heat pipe based tempering system is presented to control the spindle temperature and thus to keep the TCP displacement at a constant level, regardless of speed and load. As effective passive heat transfer components, heat pipes can be used not only to cool the system but also to insert heat into it. This capability of reversing the heat flow enables a high controllability of the temperature field in a bidirectional way and allows innovative capabilities of using advanced control algorithms. This paper describes the overall heat pipe concept and focuses on its potential as a key element for dynamic temperature control systems. Experimental results prove the feasibility of the concept with a simple on-off controller, achieving the reduction of the TCP displacement variation of a 2.2 kW spindle by 62% of its original value. The potential of the tempering concept forms the base for the deployment of various advanced control systems, such as Model-based Predictive Control (MPC), Fuzzy or Reinforcement Learning.
Thermal Growth of Motor Spindle Units
Authors: Heinze Tassilo , Koriath Hans-Joachim , Kuznetsov Alexander Pavlovich 
Published: June 2023

AbstractThe paper deals with strategies for numerical compensation of thermo-mechanical deformation of machine tool spindles and the TCP, respectively. Methods for digital modelling and simulating the temperatures and thermo-elastic deformation are presented. This is done by considering the geometry, material data, drive signals and temperature values. The topic of compensating thermo-elastic effects in spindle units is an important topic in manufacturing. Analytical equation and function block methods for measuring and predicting thermal spindle growth are compared. The heat flow model converts variable spindle load, speed, coolant and ambient temperature into local temperatures followed by elastic deformations of the spindle unit. The simulation results were verified for different types of motor spindles by experiments on a spindle test rig at SPL GmbH. A thermal stiffness value [W/µm] is characterized by the energy losses of the spindle, which result in thermal growth. Different strategies for digital reduction of a thermal spindle growth were developed.