bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research progress on plant‐based glue in meat substitutes: main components, formation mechanisms, challenges, and development
Authors: Sun Luyao , Liu Shuqi , Ye Xinnan , Xu Qiaolian , Cao Jinnuo , Zeng Xiangquan , Li He , Liu Xinqi 
Published: August 2024

SummaryThe growing recognition of environmental conservation and human well‐being has led to a surge in the advancement of plant‐based meat. These meat alternatives are similar to animal meat products regarding texture, flavour, shape, and other characteristics. These products consist of three main components: plant tissue proteins, fat mimetics, and plant‐based glues that act as binders. Since meat substitutes are subjected to high temperatures and pressures or refrigeration, the junction between the tissue proteins and fat mimetics is prone to cracking, necessitating the development of adhesives with excellent bonding characteristics. The physicochemical properties and functional applications of plant glues are currently attracting significant research attention. Plant‐based glues are essentially gels derived from substances such as proteins, polysaccharides, or various compounds. This article summarised the basic principles of gel formation, focusing on acid‐, salt‐, heat‐, and enzyme‐induced gel formation pathways, as well as the role of pH adjustment and enzyme or salt ion addition in improving their functional properties. Optimal conditions can enhance the adhesive properties of plant‐based glues. This article reviewed the types, gelation mechanisms, influencing factors, and challenges of plant‐based glues to provide a theoretical basis for research on their application potential.
Benign intracranial hypertension in chronic myeloid leukaemia
Authors: Guymer Robyn H , Cairns James D , O'Day Justin 
Published: August 2024

AbstractWe present a patient with chronic myeloid leukaemia (CML) who had marked bilateral disc swelling as part of his initial presentation. This occurred in the setting of raised intracranial pressure (ICP), with normal cerebrospinal fluid (CSF) composition and cell content, and normal neuroimaging. We discuss the possible mechanisms which could lead to disc swelling in CML and conclude that the raised ICP and subsequent papilledema in our patient were the result of poor absorption of CSF into the dural venous sinuses. We propose that the very high white cell count (WCC) led to a hyperviscosity state which resulted in poor absorption of CSF and in so doing, created a clinical picture of benign intracranial hypertension (BIH).
Integrating group awareness into team‐based learning
Authors: Lin Jian‐Wei , Chen Hong‐Ren 
Published: August 2024

AbstractBackgroundTeam‐based learning (TBL) is a widely recognised pedagogical strategy used in diverse fields and courses. Despite the success of TBL, certain concerns have arisen regarding social loafing within group collaboration contexts; this loafing can reduce the overall effectiveness of learning.ObjectivesThis study addressed the aforementioned concerns by integrating group awareness (GA) information into each stage of TBL, resulting in a TBL + GA system designed to enhance TBL instruction. During online collaborative learning, GA information provides insights into the activities completed by peers and thus the peers' preparedness and achievement; this knowledge fosters motivation, participation, and reflection.MethodsA quasiexperiment was performed with students from two freshman classes (40 and 41 students, respectively) in a Taiwanese university; the control and experimental classes used the TBL only and TBL + GA systems, respectively. Student learning effort was evaluated in terms of preclass preparation, including the use of learning materials and online test scores. Learning achievement was evaluated by assessing the quality of students' assignments. Student feedback, including peer evaluations and students' perceptions of their TBL experience, was collected and compared for the two classes.Results and ConclusionsThe TBL + GA system significantly enhanced the preclass preparation efforts of the participants, mitigating social loafing. This improvement manifested as higher practice engagement and better online assessment scores. The TBL + GA system also improved assignment quality and elicited more constructive and positive peer feedback.ImplicationsIntegrating GA information into each stage of TBL may positively affect the effectiveness of instruction. The proposed TBL + GA system can serve as a practical model for instructors seeking to enhance TBL implementation and foster a more engaging and constructive learning environment.
A tribute to Arne Schousboe's contributions to neurochemistry and his innovative and enduring research in GABA, glutamate, and brain energy metabolism
Authors: McKenna Mary C. , Sonnewald Ursula , Waageptersen Helle S. , White H. Steve 
Published: August 2024

AbstractThis is a tribute to Arne Schousboe, Professor Emeritus at the University of Copenhagen, an eminent neurochemist and neuroscientist who was a leader in the fields of GABA, glutamate, and brain energy metabolism. Arne was known for his keen intellect, his wide‐ranging expertise in neurochemistry and neuropharmacology of GABA and glutamate and brain energy metabolism. Arne was also known for his strong leadership, his warm and engaging personality and his enjoyment of fine wine and great food shared with friends, family, and colleagues. Sadly, Arne passed away on February 27, 2024, after a short illness. He is survived by his wife Inger Schousboe, his two children, and three wonderful grandchildren. His death is a tremendous loss to the neuroscience community. He will be greatly missed by his friends, family, and colleagues. Some of the highlights of Arne's career are described in this tribute.
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Currency Management by International Fixed‐Income Mutual Funds
Authors: SIALM CLEMENS , ZHU QIFEI 
Published: August 2024

ABSTRACTInvestments in international fixed‐income securities are exposed to significant currency risks. We collect novel data on currency derivatives used by U.S. international fixed‐income funds. We document that while 90% of funds use currency forwards, they hedge, on average, only 18% of their currency exposure. Funds' currency forward positions differ substantially based on risk management demands related to portfolio currency exposure, return‐enhancement motives such as currency momentum and carry trade, and strategic considerations related to past performance and fund clientele. Funds that hedge their currency risk exhibit lower return variability, but do not generate inferior abnormal returns.
Out‐of‐area home purchase and U.S. internal migration
Authors: Li Minghao , Liu Pengfei , Tang Chuan 
Published: August 2024

AbstractThis study demonstrates that out‐of‐area (OOA) property transactions can serve as a proxy for migration. Using micro‐level transaction data, we document that about 35% of migrants make OOA property purchases. The goodness‐of‐fit between migration and OOA purchases is higher for aggregate migration measures and lower for migration flows between disaggregated areas. Furthermore, in most specifications, a one percent increase in OOA purchases is associated with an approximately one percent increase in migration. We characterize the monthly out‐migration from NYC zip codes to surrounding areas after the outbreak of the COVID‐19 pandemic to demonstrate the high temporal and spatial resolution of OOA transaction data.
Inclusion and protection in tension: Reflections on gathering sexual orientation and gender identity data in the workplace
Authors: van der Toorn Jojanneke , Bracco Sofia E. , Gaitho Waruguru , Ryan William S. , Horne Sharon G. , Anderson Joel R. , Leskinen Emily A. 
Published: August 2024

AbstractThis article addresses the complex issue of sexual orientation and gender identity (SOGI) data collection in workplaces, highlighting the intricate balance between fostering inclusion and mitigating potential harm and exclusion. This tension manifests uniquely across diverse cultural, legal, and organizational settings. We review existing literature, offer practical guidance for decision‐makers, and outline future research avenues. While SOGI data collection in workplaces can enhance diversity, equity, and inclusion (DEI) initiatives and elevate the visibility of lesbian, gay, bisexual, transgender, intersex, and queer (LGBTIQ+) employees, challenges include the risk of discrimination, privacy concerns, and linguistic complexities. To address these, researchers and practitioners must consider the purpose, language, and cultural context of data collection, involving LGBTIQ+ stakeholders, and conducting reconnaissance studies. Future research opportunities lie in understanding employee willingness to share SOGI data, motivations of human resource (HR) and DEI professionals, and the impact on organizational culture. Reimagining LGBTIQ+ research to ease the tension between inclusion and protection, we conclude that responsible SOGI data collection demands a nuanced approach that prioritizes inclusion and equity while addressing privacy concerns and potential harm.
The association between histopathological growth patterns with tumor budding and poorly differentiated clusters in colorectal liver metastasis treated with preoperative systemic therapy
Authors: Laohawetwanit Thiyaphat , Apornvirat Sompon , Kantasiripitak Charinee 
Published: August 2024

AbstractThe liver's unique cellular structure makes it a frequent site for metastatic cancer. In colorectal liver metastasis (CRLM), surgical resection is essential for long‐term survival. Histopathological growth patterns (HGPs) in CRLM, including desmoplastic and nondesmoplastic patterns, provide critical prognostic information. Tumor budding (TB) and poorly differentiated clusters (PDCs), indicators of aggressive cancer behavior, are evaluated using standardized histological scoring systems and are linked to epithelial‐mesenchymal transition. This study explored the correlation between HGPs, TB, and PDCs in CRLM. Archived data from Thammasat University Hospital, including resected CRLM specimens, were analyzed. This study evaluated 51 CRLM resection specimens treated with preoperative systemic therapy, finding most to be nondesmoplastic with low TB and grade 1 PDC. Desmoplastic growth was significantly more prevalent in cases receiving preoperative chemotherapy than those that did not. Higher 3‐year mortality was noted in nondesmoplastic groups and those with higher TB and tumor regression grade (TRG) scores. Significant correlations were observed between HGPs, TB, and PDCs, despite challenges in assessing these parameters due to issues with noncancer cells, extracellular mucin, bile ductular proliferation, and retraction artifacts. This study underscores the prognostic significance of HGPs, TB, PDCs, and TRG scores in CRLM, highlighting the need for precise histopathological evaluation for more accurate prognostic implications.
The sample is not the population
Authors: Allison J. S. , Santana L. , Visagie I. J. H. 
Published: August 2024

AbstractGiven sample data, how do you calculate the value of a parameter? While this question is impossible to answer, it is frequently encountered in statistics classes when students are introduced to the distinction between a sample and a population (or between a statistic and a parameter). It is not uncommon for teachers of statistics to also confuse these concepts. An excerpt of a national mathematics examination paper, where a sample is mistaken for the population, is used to illustrate this confusion as well as sample variation and its link to sample size. We discuss two techniques that can be used to explain the difference between a parameter and a statistic. The first is a visual technique in which the variability in calculated statistics is contrasted to the fixed value of the corresponding parameter. Thereafter, we discuss Monte Carlo simulation techniques and explain the contribution that these methods may have.
Computed tomographic features of suspected arterial pseudoaneurysm in the head and neck of four dogs
Authors: Ramalho Goncalo N. V. , Dennison‐Gibby Sophie , Dancer Sumari , Blacklock Kelly , Cherbinsky Ofer , Schechter Aaron , Schwarz Tobias 
Published: August 2024

AbstractComputed tomography is a valuable diagnostic technique in the clinical work‐up of dogs with oropharyngeal trauma and bleeding. Traumatic extravasation can manifest as a pseudoaneurysm. A pseudoaneurysm is an extraluminal accumulation of blood that is contained by the adventitia layer or neighboring tissues. The purpose of this retrospective, multicenter, observational case series study was to describe the CT features in dogs with presumed oropharyngeal arterial pseudoaneurysm and its potential association with trauma. Imaging archives were searched for canine patients with head and neck CT studies showing visible extravasation of contrast‐enhanced blood contained by soft tissue structures. Medical records of these patients were reviewed for oropharyngeal bleeding or trauma and reported. Four dogs met the inclusion criteria. CT findings included a well‐defined, confined area of vascular contrast enhancement adjacent to the common carotid artery or its branches. The mean contrast enhancement in the corresponding artery and pseudoaneurysm lesion was similar, suggesting that these lesions represent active arterial extravasation. Four‐dimensional CT was performed in one case and demonstrated contrast medium leaking from an artery and being contained by adjacent soft tissue structures. All dogs had a history and imaging findings consistent with oropharyngeal bleeding and trauma. Arterial pseudoaneurysm should be considered as a differential diagnosis in dogs with oral trauma and CT features of a well‐defined, periarterial, strongly contrast‐enhancing lesion.
Dynamics Modeling and Analysis of Small-Diameter Pipeline Inspection Gauge During Passing Through Elbow
Authors: Chen Minghao , Liu Haotian , Zhang Xiaoying , Wen Chengwei , Zhang Hang 
Published: August 2024

Abstract
With small diameters, numerous elbows, and complex internal environment, gathering and transportation pipelines are widely applied in the oil and gas pipeline network. To guarantee their safety, the pipeline inspection gauge (PIG) driven by the pressure differential is used. When the PIG collides with the elbows in the pipeline, it exhibits complex nonlinear dynamic behaviors and its reliability and stability may also be greatly affected. To study the vibration response characteristics passing through the elbow, the dynamic modeling of the small-diameter PIG is conducted first in this paper based on the ADAMS software. Then, the fluid–structure coupling is realized by combining the dynamic model and the numerical calculation program of the fluid equation in Simulink. The simulation results indicate that the axial and swing acceleration of the two sections increase as the speed of the double-section PIG increases, while the vertical acceleration decreases. In comparison, it is found that the acceleration response of the second section is often larger than that of the first section. The results also reveal that the axial offset of the PIG at the elbow is inversely proportional to the speed and radius of the elbow, which is the fundamental reason for the lift-off values of sensors.
Investigation of Metal-H2O Systems at Elevated Temperatures: Part II. SnO2(s) Solubility Data and New Sn Pourbaix Diagrams at 298.15 K and 358.15 K
Authors: Palazhchenko Olga Y. , Kaye Matthew H. 
Published: August 2024

Abstract
The Zircaloy alloy system (1.2–1.7 wt.% Sn) provides an excellent basis to study the effect of temperature on Pourbaix diagrams, as Zircaloy fuel rods in a CANadian Deuterium UraniumTM (CANDU) reactor are exposed to an aqueous phase coolant in the range 250 °C (523.15 K) to 310 °C (583.15 K). In addition to its presence in Zircaloy, much of the thermochemical data for tin, particularly for the aqueous species, is unavailable or uncorroborated. This paper presents tin Pourbaix diagrams at 85 °C (358.15 K) alongside the reconstructed 25 °C (298.15 K) diagram. Solid-aqueous phase SnO2 equilibria were used to determine thermochemical data for tin +IV species in a batch vessel with in situ pH measurement. Solubilities were used to calculate the Gibbs energies of Sn complexes. The SnOH3+ and Sn(OH)5− species were incorporated into the 25 °C and 85 °C diagrams.
An Estimation Method for Bias Error of Measurements by Utilizing Process Data, An Incidence Matrix and a Reference Instrument for Data Validation and Reconciliation: Part 2—Extension to the Energy Balance Relation
Authors: Tamura Akinori , Hidaka Yuki , Ikeda Haruhiko , Hamaura Norikazu 
Published: August 2024

Abstract
Ensuring data reliability is becoming increasingly important for further applications of artificial intelligence, internet of things, and digital twins. One promising technology for ensuring data reliability is data validation and reconciliation (DVR), which minimizes the uncertainty of measurements based on statistics. DVR has been widely used for the operation and maintenance of nuclear power plants in Europe and the United States in recent years. The most important input for DVR analysis is measurement uncertainty. The catalog value provided by sensor manufacturers includes the measurement uncertainty, but in reality, the actual measurement uncertainty is often smaller. Previous studies have proposed several methods for evaluating the actual measurement uncertainty based on process data, which have been confirmed to be effective for evaluating random errors. It is important to note that bias errors also contribute significantly to the measurement uncertainty. In our previous paper, we proposed a method for estimating bias error using process data, an incidence matrix, and a reference instrument. The proposed method was limited to a mass balance relation, i.e., flowrate measurements. In this paper, we extend the method to include an energy balance relation by considering energy conservation in addition to mass conservation. This extension enables the evaluation of measurement uncertainty for flowrate and temperature. The proposed method was validated with two benchmark problems. It was found to be applicable to various flow conditions, including physically fluctuating flow, such as that observed in the feedwater flow in nuclear power plants.
A Keyphasor-Free Traveling Waves Analysis Method Based on Blade Tip Timing and Experimental Validation
Authors: Meng Yiming , Xiao Zhicheng , Chai Pengfei , Wang Shang , Zhu Xiaocheng , Ouyang Hua 
Published: August 2024

Abstract
Vibration-induced high-cycle fatigue of blades is a prevalent issue in turbomachinery. Blade tip timing (BTT) emerges as a nonintrusive, promising method for assessing blade vibration. Despite its potential, BTT's inherent measurement limitations often result in the undersampling of individual blade data. Assuming that the bladed-disk assembly vibrates in nodal diameter modes, traveling wave analysis (TWA) can overcome the limitations of undersampling and identify the nodal diameter modes associated with the frequency components. Traditional TWA methods rely on a keyphasor or once-per-revolution sensor to provide accurate reference signals. However, such a sensor could be damaged during operation or challenging to install due to limited space in field tests. In this paper, a new keyphasor-free TWA (KF-TWA) method is introduced, which is capable of measuring the order and nodal diameter of nodal diameter vibrations with as few as two sensors. Theoretical derivations reveal the method's resilience to the steady-state displacement of blades. The feasibility and effectiveness of the KF-TWA method are validated through numerical experiments and compressor tests. In the numerical experiments, blade detuning and nodal diameter vibration responses are simulated, leading to the development of a criterion for identifying nodal diameter vibrations. A compressor test rig, equipped with a 64-keyphasor disk and a sufficient number of circumferentially distributed sensors, is designed to provide blade vibration benchmark. In the experiments, the KF-TWA method successfully identified nodal diameter vibrations with amplitudes as low as 0.014 mm, consistently yielding identical results across multiple sensor pairs, which demonstrates a higher robustness compared to the traditional TWA method. The results presented offer valuable insights into the engineering application of this technology.
Data-Driven Generative Model Aimed to Create Synthetic Data for the Long-Term Forecast of Gas Turbine Operation
Authors: Losi Enzo , Manservigi Lucrezia , Spina Pier Ruggero , Venturini Mauro 
Published: August 2024

Abstract
The prediction of gas turbine (GT) future health state plays a strategic role in the current energy sector. However, training an accurate prognostic model is challenging in case of limited historical data (e.g., new installation). Thus, this paper develops a generative adversarial network (GAN) model aimed to generate synthetic data that can be used for data augmentation. The GAN model includes two neural networks, i.e., a generator and a discriminator. The generator aims to generate synthetic data that mimic the real data. The discriminator is a binary classification network. During the training process, the generator is optimized to fool the discriminator in distinguishing between real and synthetic data. The real data employed in this paper were taken from the literature, gathered from three GTs, and refer to two quantities, i.e., corrected power output and compressor efficiency, which are tracked during several years. Three different analyses are presented to validate the reliability of the synthetic dataset. First, a visual comparison of real and synthetic data is performed. Then, two metrics are employed to quantitively evaluate the similarity between real and synthetic data distributions. Finally, a prognostic model is trained by only using synthetic data and then employed to predict real data. The results prove the high reliability of the synthetic data, which can be thus exploited to train a prognostic model. In fact, the prediction error of the prognostic model on the real data is lower than 2.5% even in the case of long-term prediction.
Effects of Visualization Format and Time of Day on Immediate Recall of Tactical Behaviors
Authors: Rekik Ghazi , Belkhir Yosra , Jouira Ghada , Jarraya Mohamed , Kuo Cheng-Deng , Chen Yung-Sheng 
Published: August 2024

This study examined the effect of time of day on immediate recall of motor skills (i.e., tactical behaviors in basketball) from different external visualizations. First-year students from a public university in sports science (novice practitioners, 18.96 ± 0.57 years) were quasi-randomly assigned to three experimental conditions: video modeling by experts, a sequential-with-tracing presentation of pictures, or a sequential-without-tracing presentation of pictures. Morning and late afternoon sessions were conducted involving study phases and immediate-recall tests (i.e., comprehension and game performance tests). Oral temperature and mood states were also measured at both times of day. The results revealed that participants exhibited better recall performances in the morning, irrespective of the visualization format used. At both time of day, tactical behaviors were better recalled from video modeling rather than the two sequential presentations of pictures. In addition, providing the learner with a permanent visual trace of the previous states improves the immediate recall of tactical skills from a sequential presentation of pictures, at both time of day. Furthermore, morning sessions resulted in lower oral temperature, lower negative mood, and higher positive mood, compared with afternoon sessions. Implications for using external visualizations aimed at the acquisition of motor skills, particularly tactical behaviors, are discussed.