bluuebunny/crossref_metadata_2025_split huggingface dataset:
How attributions of coproduction motives shape customer relationships over time
Authors: Güntürkün Pascal , Haumann Till , Edinger-Schons Laura Marie , Wieseke Jan 
Published: January 2023

AbstractDespite the proliferation of coproduction concepts in various B2C contexts, knowledge on how coproduction shapes customer relationships is still surprisingly limited, as prior studies find mixed results and are bound to a short-term perspective. The present study addresses these limitations by providing first insights into the underlying psychological processes that explain differences in the short- and long-term relationship consequences of positive and negative coproduction perceptions. Drawing from the multiple inference model, this research shows how customers’ ambivalent attributions of a firm’s coproduction motives (i.e., firm-serving and customer-serving) affect customer satisfaction, willingness to pay, and spending behavior over time. The results of a latent growth analysis based on a longitudinal field study (n1 = 12,662; six waves) show that coproduction can harm customer relationships in the long-run, as the detrimental effects of firm-serving motive attributions are temporally more persistent than the favorable but ephemeral effects of customer-serving motive attributions. An additional experiment (n2 = 931) and field study (n3 = 360) confirm the generalizability of the key findings and provide new managerial insights into how firm-specific characteristics of a coproduction concept (i.e., coproduction intensity, design freedom, monetary savings) influence customer attributions different coproduction motives and thereby shape customer relationships over time.
Copula modelling with penalized complexity priors: the bivariate case
Authors: Battagliese Diego , Grazian Clara , Liseo Brunero , Villa Cristiano 
Published: January 2023

AbstractWe explore the use of penalized complexity (PC) priors for assessing the dependence structure in a multivariate distribution F, with a particular emphasis on the bivariate case. We use the copula representation of F and derive the PC prior for the parameter governing the copula. We show that any $$\alpha $$
α
-divergence between a multivariate distribution and its counterpart with independent components does not depend on the marginal distribution of the components. This implies that the PC prior for the parameters of the copula can be elicited independently of the specific form of the marginal distributions. This represents a useful simplification in the model building step and may offer a new perspective in the field of objective Bayesian methodology. We also consider strategies for minimizing the role of subjective inputs in the prior elicitation step. Finally, we explore the use of PC priors in Bayesian hypothesis testing. Our prior is compared with competing default priors both for estimation purposes and testing.
Recent Developments in Fatigue Assessment of Ships and Offshore Structures
Authors: Dong Yan , Garbatov Y. , Soares C. Guedes 
Published: January 2023

AbstractA review is provided of various approaches that have been adopted recently to assess the fatigue of ships and offshore structures. The relevant fatigue loading is reviewed first, focusing on the successive loading and unloading of the cargo and the transient loadings. The factors influencing fatigue strength are discussed, including the geometrical parameters, material, residual stress, and ones related to the environment. Different approaches for fatigue analyses of seam-welded joints are covered, i.e., the structural stress or strain approach, the notch stress or strain approach, notch intensity approach, and the crack propagation approach.
Religious Freedom and LGBTIQA + Students
Authors: Jones Tiffany 
Published: January 2023

AbstractIntroductionThe United Nations called member states to better support the education rights of lesbian, gay, bisexual, transgender, intersex, queer and asexual (LGBTIQA +) people in recent years. However, Australian policy debates about schools’ ‘religious freedom’ and exemptions around gender and sexuality discrimination continue.MethodsThis article explores 1293 LGBTIQA + students’ experiences around religious freedom, gender, and sexuality by school type using data from the 2022 ‘Gender and Sexuality Expression in Schools’ survey. To understand correlations for students’ religious vs. non-religious educational institution types, basic descriptive and correlative statistical analyses were undertaken for quantitative data in SPSS and Excel including chi-square tests, alongside Leximancer-supported thematic analyses of qualitative responses.ResultsAttending religious schools was associated with (1) increased anti-LGBTIQA + and religious freedom-restricting policies, messages, and practices; (2) increased sexual orientation and gender identity and expression change efforts (SOGIECE) messages and practices; and (3) increased negative consequences and feelings. In religious education sites, professionals — especially teachers/educators — were more likely to spread anti-LGBTIQA + messaging at class/group and school-wide levels especially around ‘sinning’; however, professional codes appeared deterrents for school psychologists. In government schools, students more often unofficially spread anti-LGBTIQA + messaging around ‘brokenness’ or ‘social harmfulness’, mostly one-on-one.ConclusionsThe article shows the value of anti-discrimination laws and professional codes in reducing official problematic practices, for those contexts and professionals they applied to.Policy ImplicationsRemoval of exemptions for religious education institutions in anti-discrimination laws, revisions of education policies, and clearer protections for LGBTIQA + people in educators’ professional codes are recommended.
Application of nickel-doped graphene nanotubes to modified GCE as a sensitive electrochemical sensor for the antipsychotic drug clozapine in spiked human blood serum samples
Authors: Ghanbari Mohammad Hossein , Norouzi Zahra , Amiri Anahid 
Published: January 2023

AbstractClozapine (CLZ) is one of the most vital medications for managing schizophrenia, and the timely measurement of CLZ levels has been recognized as an obstacle to the wider use of CLZ. Herein, for the first time, nickel-doped graphene nanotubes (Ni@GRNT) were used to construct an electrochemical CLZ sensor by drop coating Ni@GRNT suspension on a glassy carbon electrode. The Ni@GRNT was synthesized and characterized using X‐ray diffraction, scanning electron microscopy, and energy-dispersive X-ray spectroscopy. The electrochemical behavior and influence of different physicochemical factors of sensing electrodes were investigated by using cyclic voltammetry, EIS technique, and differential pulse voltammetry techniques. Also, the catalytic rate constant (kcat) and the transfer coefficient (α) were calculated. The modified electrode illustrated satisfactory linear range, detection limit (LOD), reusability, and reproducibility results. At optimal experimental conditions, measurements can be performed at a broad linear dynamic range of 0.3 nmol L−1–60.0 μmol L−1CLZ and with a LOD of 0.1 nmol L−1. The sensitivity value was estimated to be 3.06 μA µmol L−1 cm−2. Ultimately, this platform was successfully used for CLZ sensing in spiked human blood serum and tablet samples with an accuracy of > 93%.Graphical abstract
Estrogen fluctuations during the menopausal transition are a risk factor for depressive disorders
Authors: Turek Justyna , Gąsior Łukasz 
Published: January 2023

AbstractWomen are significantly more likely to develop depression than men. Fluctuations in the ovarian estrogen hormone levels are closely linked with women's well-being. This narrative review discusses the available knowledge on the role of estrogen in modulating brain function and the correlation between changes in estrogen levels and the development of depression. Equally discussed are the possible mechanisms underlying these effects, including the role of estrogen in modulating brain-derived neurotrophic factor activity, serotonin neurotransmission, as well as the induction of inflammatory response and changes in metabolic activity, are discussed.
Thermodynamic and kinetic considerations of nitrogen carriers for chemical looping ammonia synthesis
Authors: Gao Wenbo , Wang Runze , Feng Sheng , Wang Yawei , Sun Zhaolong , Guo Jianping , Chen Ping 
Published: January 2023

AbstractAmmonia (NH3) is a promising clean energy carrier, provided that its production is driven by renewable energy rather than fossil fuel-based Haber–Bosch (H–B) process. Chemical looping ammonia synthesis (denoted as CLAS) can intervene in the ubiquitous scaling relations in catalytic ammonia synthesis by separately feeding reactants to a nitrogen carrier to achieve atmospheric operation, which provides an alternative synthetic route to the H-B process. The key of CLAS is to develop efficient N carrier materials with suitable thermodynamic and kinetic properties. Metal nitrides and metal imides are two kinds of N carrier materials for the CLAS process, and H2 and H2O are commonly used as the hydrogen sources of NH3. Here, we first analyze the thermodynamic properties of the reactions of various metal nitrides and imides with water or hydrogen to produce NH3, N2 fixation on metals or metal hydrides, and the regeneration of metals from metal oxides, respectively. The thermodynamic calculation results display the reduction of main group metal hydroxide, early transition metal oxides, and rare earth metal oxides to the corresponding metallic state or hydrides, the nitridation of late transition metals to the corresponding nitrides, are the thermodynamic limiting steps for the metal nitride carriers. The metal imides, such as lithium imide and barium imide, have the relatively proper thermodynamics for two-step chemical looping reactions, however, their performance is limited by the thermodynamics of hydrogenation reaction. Moreover, for the thermodynamically unfavorable steps in the CLAS, we propose potential electrochemical processes to run the loop, such as molten salt electrolytic cell and solid electrolyte electrolytic cell. Finally, we put forward some strategies, such as controllable synthesis of N carriers and adding efficient catalysts, to improve the kinetics of chemical looping reactions.
Pilot Programs and Postcolonial Pivots: Pioneering “DNA Fingerprinting” on Britain’s Borders
Authors: Bivins Roberta 
Published: January 2023

AbstractDeveloped in Britain and the United States in the 1980s, genetic profiling has since become a global technology. Today, it is widely regarded as the evidentiary “gold standard” in individual and forensic identification. However, its origins as a technology of post-empire at Britain’s externalized borders in South Asia have remained unexamined. This article will argue that the first state-sanctioned use of “DNA fingerprints,” a pilot program exploring its value in disputed cases of family reunification migration from Bangladesh and Pakistan to Britain’s postcolonial cities, repays closer examination. National and transnational responses to the advent of genetic profiling as an identification technology demonstrate the interplay between imperial and postcolonial models and networks of power and truth production. At the same time, this experiment prefigured and conditioned the wider reception of DNA profiling in matters of kinship. Far from being a footnote, the use of genetic profiling by migrants determined to exercise their legal rights in the face of a hostile state also worked to naturalize genetic ties as the markers of “true” familial relationships.
Uhuru Sasa! Federal Futures and Liminal Sovereignty in Decolonizing East Africa
Authors: Donovan Kevin P. 
Published: January 2023

AbstractDecolonization in East Africa was a regional affair that required the remaking of temporal orders. The staggered independence timelines of Tanganyika, Uganda, and Kenya caused considerable consternation due to transnational solidarities and visions for East African Federation. The interminable delays of Kenyan decolonization also threatened the linked economy of the region and diluted the sovereignty of neighboring states. At issue was “liminal sovereignty,” with polities and people languishing between normative legal orders. Against expectations about self-determination, East Africans found themselves in partial control of their collective endeavors. I analyze the tactics of temporal activism by Africans who aimed to undo British control over the pacing, sequencing, and synchronicity of decolonization. The indeterminate geography of decolonization was linked to uncertain temporalities of independence which threatened to subvert self-determination. In East Africa, federation was a style of claims-making and chronopolitics intended to orchestrate the distribution of rights, resources, and authority in a new layering of sovereignty between postcolonies.
m‐NLP Inference Models Using Simulation and Regression Techniques
Authors: Liu Guangdong , Marholm Sigvald , Eklund Anders J. , Clausen Lasse , Marchand Richard 
Published: January 2023

AbstractCurrent inference techniques for processing multi‐needle Langmuir probe (m‐NLP) data are often based on adaptations of the Orbital Motion‐Limited (OML) theory which relies on several simplifying assumptions. Some of these assumptions, however, are typically not well satisfied in actual experimental conditions, thus leading to uncontrolled uncertainties in inferred plasma parameters. In order to remedy this difficulty, three‐dimensional kinetic particle in cell simulations are used to construct a synthetic data set, which is used to compare and assess different m‐NLP inference techniques. Using a synthetic data set, regression‐based models capable of inferring electron density and satellite potentials from 4‐tuples of currents collected with fixed‐bias needle probes similar to those on the NorSat‐1 satellite, are trained and validated. The regression techniques presented show promising results for plasma density inferences with RMS relative errors less than 20%, and satellite potential inferences with RMS errors less than 0.2 V for potentials ranging from −6 to −1 V. The new inference approaches presented are applied to NorSat‐1 data, and compared with existing state‐of‐the‐art inference techniques.
Global Simulations of Multi‐Frequency HF Signal Absorption for Direct Observation of Middle Atmosphere Temperature and Composition
Authors: Mahmoudian Alireza , Kosch Michael J. , Baghaei Reza Mohammadi 
Published: January 2023

AbstractThis paper presents the first numerical study on a new concept for the direct measurement of D‐region absorption in the high‐frequency (HF) band. Numerical simulations based on the Appleton‐Hartree and Garrett equations of refractive index are presented. Electron temperature as a result of HF radio pumping of the ionosphere is included in the calculations using proper numerical formulation. Both O‐ and X‐mode radio wave polarizations are taken into consideration. A global map of HF absorption in the northern hemisphere is calculated. Detailed calculations of HF radio wave absorption as it propagates through the lower atmosphere are presented. The effect of several parameters on the amount of absorption is calculated. The best frequencies to be used for the purpose of this study are discussed. A machine learning model is developed and the capability of the model in estimation of D and E‐region constituents includes N2, O, O2, as well as T and Ne is examined. Such a technique can also lead to global mapping of HF absorption and improve OTHR (over‐the‐horizon‐radar) performance.
Bulk Transfer Coefficients Estimated From Eddy‐Covariance Measurements Over Lakes and Reservoirs
Authors: Guseva S. , Armani F. , Desai A. R. , Dias N. L. , Friborg T. , Iwata H. , Jansen J. , Lükő G. , Mammarella I. , Repina I. , Rutgersson A. , Sachs T. , Scholz K. , Spank U. , Stepanenko V. , Torma P. , Vesala T. , Lorke A. 
Published: January 2023

AbstractThe drag coefficient, Stanton number and Dalton number are of particular importance for estimating the surface turbulent fluxes of momentum, heat and water vapor using bulk parameterization. Although these bulk transfer coefficients have been extensively studied over the past several decades in marine and large‐lake environments, there are no studies analyzing their variability for smaller lakes. Here, we evaluated these coefficients through directly measured surface fluxes using the eddy‐covariance technique over more than 30 lakes and reservoirs of different sizes and depths. Our analysis showed that the transfer coefficients (adjusted to neutral atmospheric stability) were generally within the range reported in previous studies for large lakes and oceans. All transfer coefficients exhibit a substantial increase at low wind speeds (<3 m s−1), which was found to be associated with the presence of gusts and capillary waves (except Dalton number). Stanton number was found to be on average a factor of 1.3 higher than Dalton number, likely affecting the Bowen ratio method. At high wind speeds, the transfer coefficients remained relatively constant at values of 1.6·10−3, 1.4·10−3, 1.0·10−3, respectively. We found that the variability of the transfer coefficients among the lakes could be associated with lake surface area. In flux parameterizations at lake surfaces, it is recommended to consider variations in the drag coefficient and Stanton number due to wind gustiness and capillary wave roughness while Dalton number could be considered as constant at all wind speeds.
Upstream Solar Wind Prediction up to Mars by an Operational Solar Wind Prediction System
Authors: Wang Jingjing , Shi Yurong , Luo Bingxian , Liu Siqing , Kong Linggao , Ma Jijie , Li Wenya , Tang Binbin , Zhang Aibing , Li Lei , Shi Liqin , Zhong Qiuzhen , Chen Yanhong 
Published: January 2023

AbstractCombining the upstream solar wind observations measured by Mars Atmosphere and Volatile Evolution (MAVEN), Advanced Composition Explorer(ACE) and Deep Space Climate Observatory (DSCOVR) from October 2014 to April 2021, we investigate the statistical properties of the background solar wind at Mars and Earth. By applying an operational solar wind prediction system (Wang et al., 2018, https://doi.org/10.1051/swsc/2018025) in Space Weather Prediction Center (SEPC), we simulate the solar wind conditions and carry out a comparative analysis with observations to study our model performance. We find that our model is able to simulate the solar wind conditions upstream of Earth and Mars, corresponding to the different heliocentric distances and different levels of solar activity. Furthermore, we apply an event‐based evaluation by analyzing the high speed enhancements (HSEs), and find that the hit rate of HSEs is 70.38% and 66.37% for Earth and Mars, respectively. By predicting the HSEs at Earth (Mars), our model reaches a Mean Absolute Error (MAE) of 83.93 km/s (65.91 km/s) and 22.98 hr (21.65 hr) for maximum speed and arrival time prediction error, respectively. We also conduct a three‐month case study, from November 2020 to January 2021, analyzing solar wind conditions upstream of Earth, Mars, and measured by Tianwen‐1 (China's first Mars mission), for which our model is capable to predict the upstream solar wind conditions up to Mars.
A gain-of-function TPC2 variant R210C increases affinity to PI(3,5)P2 and causes lysosome acidification and hypopigmentation
Authors: Wang Qiaochu , Wang Zengge , Wang Yizhen , Qi Zhan , Bai Dayong , Wang Chentong , Chen Yuanying , Xu Wenjian , Zhu Xili , Jeon Jaepyo , Xiong Jian , Hao Chanjuan , Zhu Michael Xi , Wei Aihua , Li Wei 
Published: January 2023

AbstractAlbinism is a group of inherited disorders mainly affecting skin, hair and eyes. Here we identify a de novo point mutation, p.R210C, in the TPCN2 gene which encodes Two Pore Channel 2 (TPC2) from a patient with albinism. TPC2 is an endolysosome and melanosome localized non-selective cation channel involved in regulating pigment production. Through inside-out recording of plasma membrane targeted TPC2 and direct recording of enlarged endolysosomal vacuoles, we reveal that the R210C mutant displays constitutive channel activation and markedly increased affinity to PI(3,5)P2. Mice harboring the homologous mutation, R194C, also exhibit hypopigmentation in the fur and skin, as well as less pigment and melanosomes in the retina in a dominant inheritance manner. Moreover, mouse embryonic fibroblasts carrying the R194C mutation show enlarged endolysosomes, enhanced lysosomal Ca2+ release and hyper-acidification. Our data suggest that R210C is a pathogenic gain-of-function TPC2 variant that underlies an unusual dominant type of albinism.
An optofluidic platform for interrogating chemosensory behavior and brainwide neural representation in larval zebrafish
Authors: Sy Samuel K. H. , Chan Danny C. W. , Chan Roy C. H. , Lyu Jing , Li Zhongqi , Wong Kenneth K. Y. , Choi Chung Hang Jonathan , Mok Vincent C. T. , Lai Hei-Ming , Randlett Owen , Hu Yu , Ko Ho 
Published: January 2023

AbstractStudying chemosensory processing desires precise chemical cue presentation, behavioral response monitoring, and large-scale neuronal activity recording. Here we present Fish-on-Chips, a set of optofluidic tools for highly-controlled chemical delivery while simultaneously imaging behavioral outputs and whole-brain neuronal activities at cellular resolution in larval zebrafish. These include a fluidics-based swimming arena and an integrated microfluidics-light sheet fluorescence microscopy (µfluidics-LSFM) system, both of which utilize laminar fluid flows to achieve spatiotemporally precise chemical cue presentation. To demonstrate the strengths of the platform, we used the navigation arena to reveal binasal input-dependent behavioral strategies that larval zebrafish adopt to evade cadaverine, a death-associated odor. The µfluidics-LSFM system enables sequential presentation of odor stimuli to individual or both nasal cavities separated by only ~100 µm. This allowed us to uncover brainwide neural representations of cadaverine sensing and binasal input summation in the vertebrate model. Fish-on-Chips is readily generalizable and will empower the investigation of neural coding in the chemical senses.
Near-infrared-featured broadband CO2 reduction with water to hydrocarbons by surface plasmon
Authors: Hu Canyu , Chen Xing , Low Jingxiang , Yang Yaw-Wen , Li Hao , Wu Di , Chen Shuangming , Jin Jianbo , Li He , Ju Huanxin , Wang Chia-Hsin , Lu Zhou , Long Ran , Song Li , Xiong Yujie 
Published: January 2023

AbstractImitating the natural photosynthesis to synthesize hydrocarbon fuels represents a viable strategy for solar-to-chemical energy conversion, where utilizing low-energy photons, especially near-infrared photons, has been the ultimate yet challenging aim to further improving conversion efficiency. Plasmonic metals have proven their ability in absorbing low-energy photons, however, it remains an obstacle in effectively coupling this energy into reactant molecules. Here we report the broadband plasmon-induced CO2 reduction reaction with water, which achieves a CH4 production rate of 0.55 mmol g−1 h−1 with 100% selectivity to hydrocarbon products under 400 mW cm−2 full-spectrum light illumination and an apparent quantum efficiency of 0.38% at 800 nm illumination. We find that the enhanced local electric field plays an irreplaceable role in efficient multiphoton absorption and selective energy transfer for such an excellent light-driven catalytic performance. This work paves the way to the technique for low-energy photon utilization.