bluuebunny/crossref_metadata_2025_split huggingface dataset:
The impacts of Confucianism on gender inequality in Vietnam
Authors: Vu Tien Manh , Yamada Hiroyuki 
Published: August 2023

AbstractWe quantify the influences of Confucianism on gender inequality in present-day Vietnam. We use the number (or density) of the most successful test takers in the Vietnamese imperial examinations (1075–1919) in a given district as a proxy for mastering the subject of Confucianism. Using an instrumental variable approach based on the historical expansion of Vietnamese territory and distances to the test venues, we consider the effects on labor, health, and educational outcomes for females relative to males. We find that Confucianism has long-lasting negative impacts on gender inequality in all considered aspects. However, the results also suggest that when present-day females pursue more years of schooling, they tend to perform better than males.
Tick-Borne Pathogens Screening Using a Multiplex Real-Time Polymerase Chain Reaction-Based Method
Authors: Cardenas-Cadena Sergio Andres , Castañeda-Lopez Maria Eugenia , Mollinedo-Montaño Fabiana Esther , Vazquez-Reyes Sodel , Lara-Arias Jorge , Marino-Martinez Ivan Alberto , Rodriguez-Sanchez Iram Pablo , Garza-Veloz Idalia , Martinez-Fierro Margarita L. 
Published: August 2023

Abstract
Purpose
This study aims to develop and evaluate a cost-effective, user-friendly multiplex quantitative real-time polymerase chain reaction (qPCR) method for detecting multiple tick-borne pathogens associated with human and veterinary diseases.

Methods
In silico PCR was performed to design and evaluate primer sequences reported for amplifying Rickettsia spp., Borrelia spp., and Ehrlichia spp. Single and multiplex qPCR assays were then standardized to detect individual pathogens and multiple pathogens in a single reaction. Positive controls were generated to determine the dynamic range of the methods. In the validation phase, a total of 800 samples were screened for the presence of tick-borne pathogens.

Results
Identification in a single qPCR reaction (multiplex) of Ehrlichia spp., and Borrelia spp. with a limit of detection of 10 copies and Rickettsia spp. with 100 copies, a PCR efficiency (E) of 90–100% and a coefficient of correlation (R2) of 0.998–0.996 for all pathogens.

Conclusion
The ability to detect three significant pathogens (Ehrlichia spp., Rickettsia spp., and Borrelia spp.) in a single qPCR reaction offers a significant advantage in the field of molecular diagnostics for tick-borne diseases. This advancement has a profound impact on public health as it facilitates the selection of appropriate treatment protocols, thereby reducing complications associated with disease progression. The streamlined approach provided by this method simplifies the diagnostic process and enables timely intervention, ultimately improving patient outcomes and mitigating the potential risks associated with untreated or misdiagnosed tick-borne infections.
Obtaining Stable Predicted Distributions of Response Times and Decision Outcomes for the Circular Diffusion Model
Authors: Smith Philip L. , Garrett Paul M. , Zhou Jason 
Published: August 2023

AbstractThe circular diffusion model represents continuous outcome decision making as evidence accumulation by a two-dimensional Wiener process with drift on the interior of a disk, whose radius represents the decision criterion for the task. The hitting point on the circumference of the disk represents the decision outcome and the hitting time represents the decision time. The Girsanov change-of-measure theorem applied to the first-passage time distribution for the Euclidean distance Bessel process yields an explicit expression for the joint distribution of decision outcomes and decision times for the model. A problem with the expression for the joint distribution obtained in this way is that the change-of-measure calculation magnifies numerical noise in the series expression for the Bessel process, which can make the expression unstable at small times when the drift rate or decision criterion is large. We introduce a new method that uses an asymptotic approximation to characterize the Bessel process at short times and the series expression for the large times. The resulting expressions are stable across all parts of the parameter space likely to be of interest in experiments, which greatly simplifies the task of fitting the model to data. The new method applies to the spherical and hyperspherical generalizations of the model and to versions of it in which the drift rates are normally distributed across trials with independent or correlated components.
Nonlinear optical absorption and optical limiting of magnetic iron oxide nanomaterials
Authors: Helayl Shaimaa , Hassab-Elnaby Salah , Badr Yehia , Salah Abeer 
Published: August 2023

AbstractIntegration of nanoparticles into polymeric materials enhances the optical properties and stability of the formed nano-composite materials. In this work, magnetic iron oxide nanoparticles Fe3O4NPs were prepared via chemical coprecipitation. In addition, it is polymerized in a host of polyvinylpyrrolidone PVP. The prepared iron oxide nano-size was about 14.0 nm as confirmed by Transmission Electron Microscopy, A vibrating sample magnetometer VSM studies showed Fe3O4NPs possess superparamagnetic behavior. Energy-dispersive X-ray spectroscopy, and X-ray diffraction confirmed the structure and composition of Fe3O4NPs. Open aperture Z-scan and optical limiting experiments were carried out at nanosecond pulses of wavelength 532 nm. The nonlinear absorption coefficients were calculated for the colloidal and polymeric iron oxide. Fe3O4NPs polymeric film exhibits enhanced nonlinear optical properties NLO, and superior optical limiting properties compared to Fe3O4NPs colloidal solution. That makes Fe3O4 nanocomposites a promising candidate for optical limiting applications.
Affect Across the Wake-Sleep Cycle
Authors: Sikka Pilleriin , Gross James J. 
Published: August 2023

AbstractAffective scientists traditionally have focused on periods of active wakefulness when people are responding to external stimuli or engaging in specific tasks. However, we live much of our lives immersed in experiences not related to the current environment or tasks at hand—mind-wandering (or daydreaming) during wakefulness and dreaming during sleep. Despite being disconnected from the immediate environment, our brains still generate affect during such periods. Yet, research on stimulus-independent affect has remained largely separate from affective science. Here, we suggest that one key future direction for affective science will be to expand our field of view by integrating the wealth of findings from research on mind-wandering, sleep, and dreaming to provide a more comprehensive account of affect across the wake-sleep cycle. In developing our argument, we address two key issues: affect variation across the wake-sleep cycle, and the benefits of expanding the study of affect across the full wake-sleep cycle. In considering these issues, we highlight the methodological and clinical implications for affective science.
Production, purification, and characterization of cold-active lipase from the psychrotroph Pseudomonas sp. A6
Authors: Abdella Bahaa , Youssif Asmaa Mohamed , Sabry Soraya A. , Ghozlan Hanan A. 
Published: August 2023

AbstractCold-active lipases are presently employed extensively in the detergent, chemical intermediate, fine chemical, food, and pharmaceutical industries. Seven cold-adaptive bacteria were isolated from the Mediterranean Sea near Alexandria, Egypt, and tested for their ability to produce cold-active lipase, with the highest activity at 10 °C. The most potent isolate was Pseudomonas sp. A6. To determine the most important variables, the bacterium was exposed to a necessary medium component and environmental factor screening using a single factor-at-a-time approach, followed by a multifactorial Plackett-Burman design strategy. After purification and characterization, the optimal activity levels for the cold-active lipase were figured out. Inoculation of Pseudomonas A6 under near optimum conditions using medium consisting of (g/L) peptone 7.14; soybean oil 7.5% (v/v); K2HPO4, 0.4; MgSO4, 0.1; glucose 2; pH 8; and temperature 10 °C led to a maximum lipase activity anticipated to be 23.36 U/mL. Purified lipase showed the best activity and thermal stability at a pH of 8 and a temperature of 10 °C. The Pseudomonas A6 lipase tolerated the monovalent ions, while greater valence ions did not.
Crystallization between (100) Goethite and (001) Orientation of Hematite – A Review
Authors: Wang Ming Kuang , Yang Puu-Tai , Chuang Tsung-Ju , Ou C. Chachi , Wang Shan Li 
Published: August 2023

Abstract
The purposes of this study were: (1) to review the preparation and characterization of the intergrowth between goethite and hematite crystals; and (2) to propose a schematic diagram of the epitaxial relationships among three sets of (100) goethite twin crystals associated with the (001) orientation of the hexagonal prism of hematite. The Fe(ClO4)3 solution was prepared and aged at 70°C, which precipitated goethite initially and produced hematite later with prolonged aging. Goethite and hematite aged for 20 days were observed as star-shaped and hexagonal prisms, respectively. The results suggest that hematite could form later using goethite as a template surface. A selected area electron diffraction (SAED) pattern showed the epitaxial relationship among three sets of (100) goethite intergrowth crystals and hexagonal prisms with the (001) orientation of hematite. Goethite can be produced as lath-, X-, K-, or star-shaped crystals on the (100) orientation, depending on the Fe(ClO4)3 concentrations and the addition of HClO4 to Fe solution samples which were aged for a prolonged period at room temperature. The initial solubility products [(Fe3+)(OH–)3] of the sample solution, rather than the nature of the nuclei, are the key factors governing the formation of goethite or hematite. The addition of acids and high concentrations of iron solutions extend the secondary hydrolysis and induction period (IP) and favor the formation of hematite. The index of the SAED pattern of the star-shaped goethite intergrowth twin crystal has a (100) plane parallel to this basal plane and rotates at a 60° angle between two or three sets of lath-shaped goethite crystals, which share the (011) plane and form goethite twins with ‘interpenetrated’ crystal growth. Stereoscopic viewing using Oak Ridge Thermal Ellipsoid Plot (ORTEP) and CrystalMaker software was deployed to explore the relationship and configuration of oxygen atoms between pseudo-hexagonal (100) goethite associated with hexagonal (001) hematite lattice planes. A schematic diagram of the epitaxial relationship between star-shaped (100) goethite, which is acting as a template facilitating later precipitation of (001) hexagonal prisms of hematite on it, is presented.
Condition transfer between prestressed bridges using structural state translation for structural health monitoring
Authors: Luleci Furkan , Necati Catbas F. 
Published: August 2023

AbstractImplementing Structural Health Monitoring (SHM) systems with extensive sensing layouts on all civil structures is obviously expensive and unfeasible. Thus, estimating the state (condition) of dissimilar civil structures based on the information collected from other structures is regarded as a useful and essential way. For this purpose, Structural State Translation (SST) has been recently proposed to predict the response data of civil structures based on the information acquired from a dissimilar structure. This study uses the SST methodology to translate the state of one bridge (Bridge #1)to a new state based on the knowledge acquired from a structurally dissimilar bridge (Bridge #2). Specifically, the Domain-Generalized Cycle-Generative (DGCG) model is trained in the Domain Generalization learning approach on two distinct data domains obtained fromBridge #1; the bridges have two different conditions:State-HandState-D. Then, the model is used to generalize and transfer the knowledge onBridge #1toBridge #2. In doing so, DGCG translates the state ofBridge #2to the state that the model has learned after being trained. In one scenario,Bridge #2’s State-His translated toState-D; in another scenario,Bridge #2’s State-Dis translated toState-H. The translated bridge states are then compared with the real ones via modal identifiers and mean magnitude-squared coherence (MMSC), showing that the translated states are remarkably similar to the real ones. For instance, the modes of the translated and real bridge states are similar, with the maximum frequency difference of 1.12% and the minimum correlation of 0.923 in Modal Assurance Criterion values, as well as the minimum of 0.947 in Average MMSC values. In conclusion, this study demonstrates that SST is a promising methodology for research with data scarcity and population-based structural health monitoring (PBSHM). In addition, a critical discussion about the methodology adopted in this study is also offered to address some related concerns.
Direct and indirect barriers to hypothetical access to care among Canadian forces health services personnel
Authors: Born Jennifer , Frank Christine 
Published: August 2023

Abstract
Background
Though research among Canadian Forces Health Services (CFHS) personnel is limited, the literature suggests formal healthcare is underused. Though much research has been conducted on particular barriers (e.g., stigma), examining a breadth of barriers could better inform behavioral interventions. Furthermore, work has yet to examine the indirect effects of barriers through their impact on intentions to access care.

Methods
CFHS participants were randomly assigned to complete either a mental health (N = 503) or physical health (N = 530) version of the survey. The survey included questions on the perceived impact of barriers, health-related information (e.g., past access to care), intention to seek care, and two hypothetical scenarios (i.e., pneumonia and back injury or post-traumatic stress disorder and depression) as a proxy of access to care. Multiple regressions using Hayes PROCESS macro were conducted to assess the direct and indirect effects (through intentions) of the barriers on hypothetical access to care.

Results
Results show conflict with career goals barriers were indirectly linked to all health outcomes, and directly linked to mental health outcomes. Treatment preference barriers were directly and indirectly linked to care seeking only for mental health, while resource barriers were directly linked to care seeking only for physical health. Knowledge and ability to access care barriers were directly linked to care seeking for depression and pneumonia.

Implications
Interventions to improve treatment-seeking should be developed only after the behavioural antecedents are understood, and should focus on combining evidence-based techniques to simultaneously target multiple aspects of the behaviour.
Measuring Gelotophobia, Gelotophilia, and Katagelasticism in Italy	and Canada Using PhoPhiKat-30
Authors: Lau Chloe , Chiesi Francesca , Fermani Alessandra , Muzi Morena , del Moral Arroyo Gonzalo , Bruno Francesco , Ruch Willibald , Quilty Lena C. , Saklofske Donald H. , Canestrari Carla 
Published: August 2023

Abstract: The PhoPhiKat-30 is a self-report instrument for describing personality related to laughter and ridicule including gelotophobia, gelotophilia, and katagelasticism. The present study assessed the measurement properties of the newly translated Italian PhoPhiKat-30 across participants in Italy and Canada using multidimensional item response theory. Italian ( N = 326) and Canadian ( N = 1,467) participants completed the Italian and English PhoPhiKat-30, respectively. The parallel analysis supported the three-factor model in Italy. Conditional reliability estimates showed strong precision (> 0.80) of gelotophobia and gelotophilia along the latent continuum (−1.15 < θ < 3.08 and −1.69 < θ < 3.09, respectively). Katagelasticism showed a limited range (0.98 < θ < 2.85) for the latent attribute precisely measured, suggesting that new items that address the low to moderate difficulty of katagelasticism should be added in future studies. Item discrimination parameters varied across Reckase’s multidimensional normal-ogive model (MDISC mean = 0.79). Five items had uniform differential item functioning (DIF; McFadden’s pseudo R2 > .035 or β > .10) when comparing the Italian and English PhoPhiKat-30, with English items showing more agreement at the same level of the latent trait. The Italian PhoPhiKat-30 has good item discrimination across the latent continuum and showed cross-cultural equivalence for most items.
An Observational Study of Short‐Cycle Lightning Outbreaks in the Inner Core of Typhoon Hato (2017) Before Landfall
Authors: Xu Yuanyuan , Huang Hao , Li Qingqing , Zhao Kun , Chan Pak‐Wai , Ming Jie , Fan Xueqi , Yang Zhengwei , Zhang Wenjuan , Lyu Weitao , Duan Yihong , Song Ping 
Published: August 2023

AbstractThis study analyzes microphysical signatures relevant to the short‐cycle lightning activity in the inner core of Typhoon Hato (2017) before landfall in China. Observations reveal that the lightning bursts were accompanied by enhanced inner‐core convection with a behavior cycle of about 3 hr. The coupling between wavenumber‐2 vortex Rossby waves (VRWs) and shear‐forced convective asymmetries resulted in a local updraft enhancement. Furthermore, supercooled liquid water droplets invigorated a striking enhancement of graupel via riming immediately above the freezing level, further enhancing charge separation and lightning generation outside the eyewall. Furthermore, when similar phase‐locking was associated with other propagating VRWs, graupel and updraft volumes were significantly boosted, leading to short‐cycle lightning outbreaks in the inner core.
Dynamic Evolution of Porosity in Lower‐Crustal Faults During the Earthquake Cycle
Authors: Michalchuk Stephen Paul , Zertani Sascha , Renard François , Fusseis Florian , Chogani Alireza , Plümper Oliver , Menegon Luca 
Published: August 2023

AbstractEarthquake‐induced fracturing of the dry and strong lower crust can transiently increase permeability for fluids to flow and trigger metamorphic and rheological transformations. However, little is known about the porosity that facilitates these transformations. We analyzed microstructures that have recorded the mechanisms generating porosity in the lower crust from a pristine pseudotachylyte (solidified earthquake‐derived frictional melt) and a mylonitized pseudotachylyte from Lofoten, Norway to understand the evolution of fluid pathways from the coseismic to the post‐ and interseismic stages of the earthquake cycle. Porosity is dispersed and poorly interconnected within the pseudotachylyte vein (0.14 vol%), with a noticeably increased amount along garnet grain boundaries (0.25–0.41 vol%). This porosity formed due to a net negative volume change at the grain boundary when garnet overgrows the pseudotachylyte matrix. Efficient healing of the damage zone by fluid‐assisted growth of feldspar neoblasts resulted in the preservation of only a few but relatively large interconnected pores along coseismic fractures (0.03 vol% porosity). In contrast, porosity in the mylonitized pseudotachylyte is dramatically reduced (0.02 vol% overall), because of the efficient precipitation of phases (amphibole, biotite and feldspars) into transient pores during grain‐size sensitive creep. Porosity reduction on the order of >85% may be a contributing factor in shear zone hardening, potentially leading to the development of new pseudotachylytes overprinting the mylonites. Our results show that earthquake‐induced rheological weakening of the lower crust is intermittent and occurs when a fluid can infiltrate a transiently permeable shear zone, thereby facilitating diffusive mass transfer and creep.
Improved Prediction of Local Significant Wave Height by Considering the Memory of Past Winds
Authors: Zhang Shaotong , Yang Zhen , Zhang Yaqi , Zhao Shangrui , Wu Jinran , Wang Chenghao , Wang You‐Gan , Jeng Dong‐Sheng , Nielsen Peter , Li Guangxue , Li Sanzhong 
Published: August 2023

AbstractWave and water depth were measured with an instrumented tripod in the Yellow River Delta from 9 December 2014 to 29 April 2015. Concurrent wind data were also collected from a nearby wind station. A high‐precision model for predicting local significant wave height (Hs) with wind speed (vw) is constructed using an improved data‐driven approach. The proposed model realized high accuracy as it solves the problem that the Hs falls too fast during the wind‐decreasing periods. It was tackled by considering the remaining influence of historical vw on the present Hs via incorporating a memory curve of the past wind effect. This innovative approach significantly improves the prediction (R2 from 0.60 to 0.83). The winds in the past 24 hr still left an influence on the waves at the observation site although the influence decreases with time. Physically, it is an implicit but simpler consideration of wind fetch/duration. Further data modeling experiments indicated that the decisive factor for the Hs at the site is the wind speed. Wind directions slightly improve the prediction, indicating that waves are slightly affected by the underwater seabed slope along different wind directions, and northwest winds cause the strongest waves at the site. Adding atmospheric pressure or water depth even reduces the accuracy, which indicated that storm surges and wave deformations under different tide levels have a weak impact on Hs. The proposed local wave model can be easily constructed with available wind and wave data, making it expandable to other regions dominated by wind waves.
Extending the Application of Connectivity Metrics for Characterizing the Dynamic Behavior of Water Distribution Networks
Authors: Marsili V. , Alvisi S. , Maietta F. , Capponi C. , Meniconi S. , Brunone B. , Franchini M. 
Published: August 2023

AbstractWater distribution networks (WDNs) are complex combinations of nodes and links, and the current tendency is to modify their topological structure through the closure of isolation valves for monitoring and water quality reasons. For their analysis, several approaches based on graph theory have recently been proposed, mainly considering steady‐state flow conditions. However, in their real functioning, WDNs are continuously subjected to pressure transients generated by maneuvers on regulation devices or by users' activity. This study investigates the application of some metrics from graph theory, already used in the context of steady‐state analysis, for assessing the effects of changes in the topological structure of a network—due for example, to sectorization or branching operations—on its transient response when subjected to maneuvers on devices such as hydrants, pumps, etc. or users' activity. The analysis shows that some connectivity metrics can effectively reflect the dynamic pressure behavior of the network and, thus, provide useful indications for design and management operations taking into account unsteady flow features.