bluuebunny/crossref_metadata_2025_split huggingface dataset:
Psychological needs and financial well-being: the role of consumer spending self-control
Authors: du Plessis Laureane , Jordaan Yolanda , van der Westhuizen Liezl-Marié 
Published: February 2024

AbstractFinancial service providers continually strive to develop innovative financial products and services that address customer needs and aim to improve customers’ financial well-being. Previous studies discovered that psychological need satisfaction is positively associated with psychological well-being and growth, while psychological need frustration is associated with problematic behaviour and ill-being. However, uncertainty still exists as to whether psychological needs are associated with financial well-being. Furthermore, whereas psychological need satisfaction is associated with positive day-to-day behaviours such as exhibiting self-control, psychological need frustration has been associated with irresponsible spending. Spending can be a psychological coping mechanism, and as such, the regulation of spending behaviour may aid financial well-being. Therefore, the main purpose of this article is to explore the relationship between psychological needs and financial well-being, and to assess whether consumer spending self-control can act as a regulating mechanism in this relationship. Data were collected by means of a self-administered questionnaire distributed via an online paid-for consumer panel to credit-active South African consumers. The results revealed that CSSC had a mediating effect on the relationships between psychological needs and financial well-being. This highlights the importance of developing and promoting consumer spending self-control as a strategy for financial well-being.
Quo vadis higher education? Post-pandemic success digital competencies of the higher educators – a Hungarian university case and actions
Authors: Jarjabka Ákos , Sipos Norbert , Kuráth Gabriella 
Published: February 2024

AbstractThe purpose of this paper is to show the necessary competence sets for Higher Education (HE) lecturers in the framework of the COVID and post-COVID. A COVID-situated competence survey was carried out among university lecturers. Exploratory and confirmatory factor analyses (EFA, CFA) were applied to show the significant digital education competence factors. The representative online survey of 322 respondents shows that three big competence sets can be identified: Awareness, Professional, and Digital. Those having higher scores in Professional competencies foresee more digital programs and communications in the future, and not only the digital competencies but also the professional ones should be developed to meet the requirements of the digital education transformation process. The findings emphasize that the forced and drastic changes in the application of digital education to the intensification of COVID-19 should become sustainable and find its proper place and role in the future HE. The structured and closely managed use of the results was followed by a set of digital and professional competence development initiatives carried out within the framework of the Digital Education and Learning Support Centre, founded in 2020 at the University of Pécs.
Identifying risks in temporal supernetworks: an IO-SuperPageRank algorithm
Authors: Liu Yijun , Jin Xiaokun , Zhang Yunrui 
Published: February 2024

AbstractComplex systems pose risks characterized by factors such as uncertainty, nonlinearity, and diversity, making traditional risk measurement methods based on a probabilistic framework inadequate. Supernetworks can effectively model complex systems, and temporal supernetworks can capture the dynamic evolution of these systems. From the perspective of network stability, supernetworks can aid in risk identification for complex systems. In this paper, an IO-SuperPageRank algorithm is proposed based on the supernetwork topological structure. This algorithm reveals network instability by calculating changes in node importance, thereby helping to identify risks in complex systems. To validate the effectiveness of this algorithm, a four-layer supernetwork composed of scale-free networks is constructed. Simulated experiments are conducted to assess the impact of changes in intralayer edge numbers, intralayer node numbers, and interlayer superedge numbers on the risk indicator IO value. Linear regression and multiple tests were used to validate these relationships. The experiments show that changes in the three network topological indicators all bring about risks, with changes in intralayer node numbers having the most significant correlation with the risk indicator IO value. Compared to traditional measures of network node centrality and connectivity, this algorithm can more accurately predict the impact of node updates on network stability. Additionally, this paper collected trade data for crude oil, chemical light oil, man-made filaments and man-made staple fibers from the UN Comtrade Database. We constructed a man-made filaments and fibers supply chain temporal supernetwork, utilizing the algorithm to identify supply chain risks from December 2020 to October 2023. The study revealed that the algorithm effectively identified risks brought about by changes in international situations such as the Russia-Ukraine war, Israel–Hamas conflict, and the COVID-19 pandemic. This demonstrated the algorithm’s effectiveness in empirical analysis. In the future, we plan to further expand its application based on different scenarios, assess risks by analyzing changes in specific system elements, and implement effective risk intervention measures.
Modeling the link between tourism and economic development: evidence from homogeneous panels of countries
Authors: Cárdenas-García Pablo Juan , Brida Juan Gabriel , Segarra Verónica 
Published: February 2024

AbstractHaving previously analyzed the relationship between tourism and economic growth from distinct perspectives, this paper attempts to fill the void existing in scientific research on the relationship between tourism and economic development, by analyzing the relationship between these variables using a sample of 123 countries between 1995 and 2019. The Dumistrescu and Hurlin adaptation of the Granger causality test was used. This study takes a critical look at causal analysis with heterogeneous panels, given the substantial differences found between the results of the causal analysis with the complete panel as compared to the analysis of homogeneous country groups, in terms of their dynamics of tourism specialization and economic development. On the one hand, a one-way causal relationship exists from tourism to development in countries having low levels of tourism specialization and development. On the other hand, a one-way causal relationship exists by which development contributes to tourism in countries with high levels of development and tourism specialization.
Predictors of Nicotine Replacement Therapy Adherence: Mixed-Methods Research With a Convergent Parallel Design
Authors: Kim Sun S , Prasad Anyah , Nayak Manan M , Chen Hua , Srisoem Chaowalit , DeMarco Rosanna F , Castaldi Peter , Cooley Mary E 
Published: February 2024

Abstract

Background
Few studies have examined the effect of baseline attitudes toward nicotine replacement therapy (NRT) on its actual adherence in a smoking cessation intervention.

Purpose
This study (i) examined the predictability of baseline variables (quantitative data) on NRT adherence and (ii) explored the congruence of participants’ statements about NRT products (qualitative data) during counseling sessions with their baseline attitudes.

Methods
This is a mixed-methods research study using a convergent parallel design. Participants included 74 individuals in the treatment group who received behavioral counseling and combination NRT. A Poisson regression analysis was performed to identify baseline variables predicting NRT adherence. Thematic analysis was completed with a subset of participants (n = 38) who varied in NRT attitude scores and adherence. A joint display was created to integrate quantitative and qualitative data and discover convergence.

Results
Approximately 59% of the participants (41/74) used NRT continuously for ≥5 weeks. Having negative attitudes toward NRT and depressive symptoms predicted NRT adherence even after controlling for education and anxiety symptoms. Thematic analysis revealed that NRT adherence is a learning process that consists of the following three distinctive but interrelated phases: (i) information needs, (ii) comprehensive readiness, and (iii) experiential learning. Of the 38 participants, 34 (89.5%) showed convergence between baseline attitude scores and statements about NRT made during counseling sessions.

Conclusions
Individuals who have negative attitudes toward NRT are less likely to use the products in a smoking cessation intervention. Counselors should assess attitudes toward NRT at baseline and address them proactively during counseling sessions.
Machine learning for detection of heterogeneous effects of Medicaid coverage on depression
Authors: Goto Ryunosuke , Inoue Kosuke , Osawa Itsuki , Baicker Katherine , Fleming Scott L , Tsugawa Yusuke 
Published: February 2024

Abstract
In 2008, Oregon expanded its Medicaid program using a lottery, creating a rare opportunity to study the effects of Medicaid coverage using a randomized controlled design (Oregon Health Insurance Experiment). Analysis showed that Medicaid coverage lowered the risk of depression. However, this effect may vary between individuals, and the identification of individuals likely to benefit the most has the potential to improve the effectiveness and efficiency of the Medicaid program. By applying the machine learning causal forest to data from this experiment, we found substantial heterogeneity in the effect of Medicaid coverage on depression; individuals with high predicted benefit were older and had more physical or mental health conditions at baseline. Expanding coverage to individuals with high predicted benefit generated greater reduction in depression prevalence than expanding to all eligible individuals (21.5 vs 8.8 percentage-point reduction; adjusted difference = +12.7 [95% CI, +4.6 to +20.8]; P = 0.003), at substantially lower cost per case prevented ($16 627 vs $36 048; adjusted difference = −$18 598 [95% CI, −156 953 to −3120]; P = 0.04). Medicaid coverage reduces depression substantially more in a subset of the population than others, in ways that are predictable in advance. Targeting coverage on those most likely to benefit could improve the effectiveness and efficiency of insurance expansion.
This article is part of a Special Collection on Mental Health.
Exposure to per- and polyfluoroalkyl substances and breast cancer risk: a systematic review and meta-analysis of epidemiologic studies
Authors: Chang Che-Jung , Ish Jennifer L , Chang Vicky C , Daniel Meklit , Jones Rena R , White Alexandra J 
Published: February 2024

Abstract
We synthesized the epidemiologic evidence on the associations between per- and polyfluoroalkyl substances (PFAS) exposure and breast cancer risk. Our systematic review and meta-analysis included 18 and 11 articles, respectively, covering studies up to February 2023. The summary relative risks (RRs) estimated by random-effects meta-analyses did not support an association between PFAS and overall breast cancer risk (eg, a natural log (ln)-unit increase in serum/plasma concentrations [ng/mL] for perfluorooctanoate [PFOA] RR = 0.95; 95% CI, 0.77-1.18; perfluorooctane sulfonate [PFOS] RR = 0.98; 95% CI, 0.87-1.11). However, when limiting to studies that assessed exposures prior to a breast cancer diagnosis, we observed a positive association with PFOA (a ln-unit increase, RR = 1.16; 95% CI, 0.96-1.40). We also observed some possible heterogeneous associations by tumor estrogen and progesterone receptor status among postmenopausal breast cancer cases. No meaningful changes were observed after excluding the studies with high risk of bias (Tier 3). Based on the evaluation tool developed by the National Toxicology Program, given the heterogeneity across studies and the variability in timing of exposure measurements, the epidemiologic evidence needed to determine the association between PFAS exposure and breast cancer remains inadequate. Our findings support the need for future studies with improved study designs to determine this association.
Handling missing data when estimating causal effects with targeted maximum likelihood estimation
Authors: Dashti S Ghazaleh , Lee Katherine J , Simpson Julie A , White Ian R , Carlin John B , Moreno-Betancur Margarita 
Published: February 2024

Abstract
Targeted maximum likelihood estimation (TMLE) is increasingly used for doubly robust causal inference, but how missing data should be handled when using TMLE with data-adaptive approaches is unclear. Based on data (1992-1998) from the Victorian Adolescent Health Cohort Study, we conducted a simulation study to evaluate 8 missing-data methods in this context: complete-case analysis, extended TMLE incorporating an outcome-missingness model, the missing covariate missing indicator method, and 5 multiple imputation (MI) approaches using parametric or machine-learning models. We considered 6 scenarios that varied in terms of exposure/outcome generation models (presence of confounder-confounder interactions) and missingness mechanisms (whether outcome influenced missingness in other variables and presence of interaction/nonlinear terms in missingness models). Complete-case analysis and extended TMLE had small biases when outcome did not influence missingness in other variables. Parametric MI without interactions had large bias when exposure/outcome generation models included interactions. Parametric MI including interactions performed best in bias and variance reduction across all settings, except when missingness models included a nonlinear term. When choosing a method for handling missing data in the context of TMLE, researchers must consider the missingness mechanism and, for MI, compatibility with the analysis method. In many settings, a parametric MI approach that incorporates interactions and nonlinearities is expected to perform well.
The InterSECT Framework: a proposed model for explaining population-level trends in substance use and emotional concerns
Authors: Halladay Jillian , Sunderland Matthew , Chapman Cath , Teesson Maree , Slade Tim 
Published: February 2024

Abstract
Across high-income countries, adolescent emotional concerns have been increasing in prevalence over the past two decades and it is unclear why this is occurring, including whether and how substance use relates to these changing trends. On the other hand, substance use has been generally declining, and little is known about the role of emotional concerns in these trends. Several studies have explored the changes in co-occurring substance use and emotional concerns among adolescents over time, with mixed results and inconsistent messaging about the implications of the findings. In response, we developed a theoretical framework for exploring the intersection between trends in substance use and emotional concerns (InterSECT Framework). This framework includes a discussion and related examples for 3 core hypotheses: (1) strengthening of co-occurrence, or the “hardening” hypothesis; (2) co-occurrence staying the same, or the “consistency” hypothesis; and (3) weakening of co-occurrence, or the “decoupling” hypothesis. This framework seeks to guide the conceptualization, evaluation, and understanding of changes in the co-occurrence of substance use and emotional concerns over time, including outlining a research agenda informed by pre-existing research and youth perspectives.
Estimating effects of longitudinal and cumulative exposure to PFAS mixtures on early adolescent body composition
Authors: Kuiper Jordan R , Liu Shelley H , Lanphear Bruce P , Calafat Antonia M , Cecil Kim M , Xu Yingying , Yolton Kimberly , Kalkwarf Heidi J , Chen Aimin , Braun Joseph M , Buckley Jessie P 
Published: February 2024

Abstract
Few methods have been used to characterize repeatedly measured biomarkers of chemical mixtures. We applied latent profile analysis (LPA) to serum concentrations of 4 perfluoroalkyl and polyfluoroalkyl substances (PFAS) measured at 4 time points from gestation to age 12 years. We evaluated the relationships between profiles and z scores of height, body mass index, fat mass index, and lean body mass index at age 12 years (n = 218). We compared LPA findings with an alternative approach for cumulative PFAS mixtures using g-computation to estimate the effect of simultaneously increasing the area under the receiver operating characteristic curve (AUC) for all PFAS. We identified 2 profiles: a higher PFAS profile (35% of sample) and a lower PFAS profile (relative to each other), based on their average PFAS concentrations at all time points. The higher PFAS profile had generally lower z scores for all outcomes, with somewhat larger effects for males, though all 95% CIs crossed the null. For example, the higher PFAS profile was associated with a 0.50-unit lower (β = −0.50; 95% CI, −1.07 to 0.08) BMI z score among males but not among females (β = 0.04; 95% CI, −0.45 to 0.54). We observed similar patterns with AUCs. We found that a higher childhood PFAS profile and higher cumulative PFAS mixtures may be associated with altered growth in early adolescence.
This article is part of a Special Collection on Environmental Epidemiology.
Manipulation, deception, the victim’s reasoning and her evidence
Authors: Krstić Vladimir 
Published: February 2024

Abstract
This paper rejects an argument defending the view that the boundary between deception and manipulation is such that some manipulations intended to cause false beliefs count as non-deceptive. On the strongest version of this argument, if a specific behaviour involves compromising the victim’s reasoning, then the behaviour is manipulative but not deceptive, and if it involves exposing the victim to misleading evidence that justifies her false belief, then it is deceptive but not manipulative. This argument has been consistently used as a reason to reject the traditional analysis of human deception, according to which intentionally causing someone to acquire a false belief is sufficient for deception. And because the traditional analysis is also consistent with our most basic intuitions about deception, it does matter whether this argument succeeds.
Flexible females: nutritional state influences biparental cooperation in a burying beetle
Authors: Lambert Georgia A , Smiseth Per T 
Published: February 2024

Abstract
In species that provide biparental care, there is a sexual conflict between parents over how much each should contribute toward caring for their joint offspring. Theoretical models for the resolution of this conflict through behavioral negotiation between parents assume that parents cannot assess their partner’s state directly but do so indirectly by monitoring their partner’s contribution. Here, we test whether parents can assess their partner’s state directly by investigating the effect of nutritional state on cooperation between parents in the burying beetle Nicrophorus vespilloides. We used a two-by-two factorial design, in which a well-fed or food-deprived female was paired with a well-fed or food-deprived male. We found that females adjusted their level of care in response to both their own nutritional state and that of their partner and that these decisions were independent of their partner’s contribution. We found no evidence that males responded directly to the nutritional state. Males instead responded indirectly based on the contribution of their partner. Our results suggest that parents are able to assess the state of their partner, in contrast to what has been assumed, and that these assessments play an important role in the mediation of sexual conflict between caring parents.
TrajPy: empowering feature engineering for trajectory analysis across domains
Authors: Moreira-Soares Maurício , Mossmann Eduardo , Travasso Rui D M , Bordin José Rafael 
Published: February 2024

Abstract

Motivation
Trajectories, which are sequentially measured quantities that form a path, are an important presence in many different fields, from hadronic beams in physics to electrocardiograms in medicine. Trajectory analysis requires the quantification and classification of curves, either by using statistical descriptors or physics-based features. To date, no extensive and user-friendly package for trajectory analysis has been readily available, despite its importance and potential application across various domains.

Results
We have developed TrajPy, a free, open-source Python package that serves as a complementary tool for empowering trajectory analysis. This package features a user-friendly graphical user interface and offers a set of physical descriptors that aid in characterizing these complex structures. TrajPy has already been successfully applied to studies of mitochondrial motility in neuroblastoma cell lines and the analysis of in silico models for cell migration, in combination with image analysis.

Availability and implementation
The TrajPy package is developed in Python 3 and is released under the GNU GPL-3.0 license. It can easily be installed via PyPi, and the development source code is accessible at the repository: https://github.com/ocbe-uio/TrajPy/. The package release is also automatically archived with the DOI 10.5281/zenodo.3656044.
Phylogeography and ecological niche modelling of the South American cricetid rodent Graomys griseoflavus, with insights into its chromosomal evolution
Authors: Urquizo José H , Ferro Ignacio , Murgia Agustina , Pardiñas Ulyses F J , Martínez Juan J 
Published: February 2024

Abstract
The rodent Graomys griseoflavus has a wide geographical distribution in the Arid Diagonal of South America, showing variation in the diploid number (2n = 33–38) caused by three different Robertsonian (Rb) translocations. Two contrasting hypotheses have been proposed to explain the origin and evolution of this polymorphism: (i) unique and sequential events; or (ii) multiple and independent origins of Rb translocations. Here, we combined phylogeography and ecological niche modelling to elucidate the evolutionary history of G. griseoflavus and help to contrast these hypotheses. The results indicated a demographic increase that would have begun ~150 kya from the High Monte ecoregion. The spatial distributions of these populations were coincident with the areas of highest habitat suitability. The palaeoclimatic projections suggested the presence of two main glacial refugia coincident with the main genetic clusters. Graomys griseoflavus underwent two pulses of southward expansion at ~220 and ~210 kya. More recently (~20 kya), there was a secondary contact between the southern populations (Low Monte ecoregion) expanding northwards and the northern populations (High Monte ecoregion) expanding into marginal areas of the Chaco ecoregion. Combined with the cytogenetic evidence, our results support the multiple and independent origins of Rb translocations.