bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dual process theory and the challenges of functional individuation
Authors: Grayot James D. , Beck Lukas , Heijmeskamp Thijs 
Published: June 2024

AbstractDespite on-going debates in philosophy and cognitive science, dual process theory (DPT) remains a popular framework for theorizing about human cognition. Its central hypothesis is that cognitive processing can be subsumed under two generic types. In this paper, we argue that the putative success and popularity of this framework remains overstated and gives rise to certain misunderstandings. If DPT has predictive and/or explanatory power, it is through offering descriptions of cognitive phenomena via functional analysis. But functional descriptions require an individuation strategy. To date, there has been no systematic exploration of how Type 1 and Type 2 are functionally individuated. Following recent debates in philosophy of cognitive science, we consider three individuation strategies (i.e., abstraction, reification, fictionalization) and assess the legitimacy of each in relation to DPT. This leads us to the verdict that the most viable route for justifying DPT is to construe Type 1 and Type 2 processes as reifications. We conclude that, construed as reifications, the common rationales offered by proponents of DPT for demarcating Type 1 and Type 2 processes do not escape criticism and require further theoretical justification.
Parental Loss and Mental Health in Post-Khmer-Rouge Cambodia
Authors: Heuveline Patrick , Clague Angela K. 
Published: June 2024

AbstractAdverse childhood events (ACE) may have lasting consequences throughout the life course. We focus on one particular type of ACE, parental loss in Cambodia—a country that lost nearly 25% of its population during the 1975-79 Khmer-Rouge regime—and on mental health disorders, one of the potential mechanisms through which ACE may have long-term consequences. Self-reports of symptoms that map on to the Diagnostic and Statistical Manual of Mental Health Disorders (DSM) criteria for anxiety, depression, and post-traumatic stress disorder (PTSD) were collected from 4,405 adults aged 20 and over. We first assess exposure to traumatic events and the prevalence of anxiety, depression, and PTSD using the DSM and alternative criteria. Based on the DSM criteria and previously validated Likert-scale thresholds, we find a high prevalence of anxiety (56.0%), depression (42.8%), and PTSD (2.3%), and even higher levels even among KRR survivors. We then use logit models to analyze the effect of parental loss before age 20 on the likelihood of having experienced traumatic events and experiencing mental health disorders. We find the loss of one parent increases the likelihood of full-PTSD symptoms, but the loss of both parents does not. These findings may result from positive selection into better-off households for orphans whose parents have both died but may also reflect the grief-related difficulties faced by the surviving parent of paternal or maternal orphans. While alternative thresholds for PTSD produced higher prevalence estimates, these measures did not perform better for assessing the effect of parental loss on mental health.
The Role of Salience and Memory in Fertility Decisions: Experimental Evidence
Authors: Galasso Vincenzo 
Published: June 2024

AbstractPublic policies use communication campaigns to affect individual behavior. We analyze how providing women with information on the beneficial effects of using formal childcare may affect their realized fertility. We argue that cues in the messages are particularly salient for mothers and women with fertility intensions, since they activate these women’s past memories. Hence, cues induce these women to create mental representations of future actions, such as realized fertility. We exploit a randomized survey experiment run in 2011, which provides information on the positive effects that attending daycare may have on the children’ future cognitive development. Using a follow-up survey run six-year later we show that the treatment increases realized fertility among mothers and women with declared fertility intentions, for whom the communication was more salient. Yet, the treatment did not affect the individual knowledge nor recall of the information provided in the message. Our results carry important policy implications: persuading individuals is difficult, but communication can be effective if salient.
Conditional independence in a binary choice experiment
Authors: Wilcox Nathaniel T. 
Published: June 2024

AbstractExperimental and behavioral economists, as well as psychologists, commonly assume conditional independence of choices when constructing likelihood functions for structural estimation of choice functions. I test this assumption using data from a new experiment designed for this purpose. Within the limits of the experiment’s identifying restriction and designed power to detect deviations from conditional independence, conditional independence is not rejected. In naturally occurring data, concerns about violations of conditional independence are certainly proper and well-taken (for well-known reasons). However, when an experimenter employs the particular experimental mechanisms and designs used here, the findings suggest that conditional independence is an acceptable assumption for analyzing data so generated.
Predicting citation impact of academic papers across research areas using multiple models and early citations
Authors: Zhang Fang , Wu Shengli 
Published: June 2024

AbstractAs the volume of scientific literature expands rapidly, accurately gauging and predicting the citation impact of academic papers has become increasingly imperative. Citation counts serve as a widely adopted metric for this purpose. While numerous researchers have explored techniques for projecting papers’ citation counts, a prevalent constraint lies in the utilization of a singular model across all papers within a dataset. This universal approach, suitable for small, homogeneous collections, proves less effective for large, heterogeneous collections spanning various research domains, thereby curtailing the practical utility of these methodologies. In this study, we propose a pioneering methodology that deploys multiple models tailored to distinct research domains and integrates early citation data. Our approach encompasses instance-based learning techniques to categorize papers into different research domains and distinct prediction models trained on early citation counts for papers within each domain. We assessed our methodology using two extensive datasets sourced from DBLP and arXiv. Our experimental findings affirm that the proposed classification methodology is both precise and efficient in classifying papers into research domains. Furthermore, the proposed prediction methodology, harnessing multiple domain-specific models and early citations, surpasses four state-of-the-art baseline methods in most instances, substantially enhancing the accuracy of citation impact predictions for diverse collections of academic papers.
Optimization of containerized application deployment in virtualized environments: a novel mathematical framework for resource-efficient and energy-aware server infrastructure
Authors: Rabieyan Reza , Yahyapour Ramin , Jahnke Patrick 
Published: June 2024

AbstractThis study addresses the critical need for effective resource management through software container migration in cloud data centers. It emphasizes its role in avoiding resource shortages and reducing energy consumption in cloud environments. This study introduces a novel multi-objective integer linear programming (ILP) approach for software container replacements, complemented by a specialized algorithm designed to migrate software containers between over- and underutilized hosts to enhance efficiency compared to traditional optimization methods. The simulation results demonstrate the algorithm's effectiveness, validating its potential for optimizing energy usage and resource allocation in cloud environments. Statistical analyses confirm the proposed model's and algorithm's superiority over benchmark approaches, highlighting their potential for enhancing resource management in cloud computing systems.
Understanding Japan's Land-use Dynamics between 1987 and 2050 using Land Accounting and Scenario Analysis
Authors: Huang Wanhui , Hashimoto Shizuka , Yoshida Takehito , Saito Osamu , Meraj Gowhar 
Published: June 2024

AbstractAmidst global concerns about land use change and its far-reaching impact on biodiversity and human well-being, there is a growing need to understand how land use stock and flow changes over time through land use accounting. While existing studies on land accounting have focused on historical land changes, little attention has been paid to future transitions. This study assessed historical patterns and projected future shifts in land use dynamics from 1987 to 2050 across Japan by combining high-resolution land use and land cover datasets, land change simulations, and land accounting. In the analyses, particular attention was paid to the historical and future trends of farmland abandonment by leveraging data at 100-m resolution built on national vegetation surveys. High-resolution analysis of farmland abandonment issue with national scale in Japan is a novelty. From 1987 to 1998, the land stock analysis results showed a pronounced marked increase in residential land (10.4%) and grassland (16.9%); the flow analysis results showed that urban residential sprawl expansion was mainly formed by secondary (32.6%) and plantation (21.1%) forest areas, coinciding with increasing population and economic growth. Projections from 2010 to 2050 indicate a marked increase in abandoned farmland (67.2% per decade), a trend influenced by rapid population decline and presumably agricultural policies, especially significant in regions such as Hokkaido and Kyushu. The findings of this study are crucial for shaping policy and decision-making, underlining the need for sustainable land management strategies that effectively balance urban growth, agricultural productivity, and environmental preservation in Japan.
Hip fracture rate and osteoporosis treatment in Ontario: A population-based retrospective cohort study
Authors: AbuAlrob Hajar , Ioannidis George , Jaglal Susan , Costa Andrew , Grifith Lauren E. , Thabane Lehana , Adachi Jonathan D. , Cameron Cathy , Hillier Loretta , Lau Arthur , Papaioannou Alexandra 
Published: June 2024

Abstract

Summary

This population-based study analyzes hip fracture and osteoporosis treatment rates among older adults, stratified by place of residence prior to fracture. Hip fracture rates were higher among older adults living in the community and discharged to long-term care (LTC) after fracture, compared to LTC residents and older adults living in the community. Only 23% of LTC residents at high fracture risk received osteoporosis treatment.

Purpose
This population-based study examines hip fracture rate and osteoporosis management among long-term care (LTC) residents > 65 years of age compared to community-dwelling older adults at the time of fracture and admitted to LTC after fracture, in Ontario, Canada.

Methods
Healthcare utilization and administrative databases were linked using unique, encoded identifiers from the ICES Data Repository to estimate hip fractures (identified using the Public Health Agency of Canada algorithm and International Classification of Diseases (ICD)-10 codes) and osteoporosis management (pharmacotherapy) among adults > 66 years from April 1, 2014 to March 31, 2018. Sex-specific and age-standardized rates were compared by pre-fracture residency and discharge location (i.e., LTC to LTC, community to LTC, or community to community). Fracture risk was determined using the Fracture Risk Scale (FRS).

Results
At baseline (2014/15), the overall age-standardized hip fracture rate among LTC residents was 223 per 10,000 person-years (173 per 10,000 females and 157 per 10,000 males), 509 per 10,000 person-years (468 per 10,000 females and 320 per 10,000 males) among the community to LTC cohort, and 31.5 per 10,000 person-years (43.1 per 10,000 females and 25.6 per 10,000 males). During the 5-year observation period, the overall annual average percent change (APC) for hip fracture increased significantly in LTC (AAPC =  + 8.6 (95% CI 5.0 to 12.3; p = 0.004) compared to the community to LTC group (AAPC =  + 2.5 (95% CI − 3.0 to 8.2; p = 0.248)) and the community-to-community cohort (AAPC − 3.8 (95% CI − 6.7 to − 0.7; p = 030)). However, hip fracture rate remained higher in the community to LTC group over the study period. There were 33,594 LTC residents identified as high risk of fracture (FRS score 4 +), of which 7777 were on treatment (23.3%).

Conclusion
Overall, hip fracture rates have increased in LTC and among community-dwelling adults admitted to LTC after fracture. However, hip fracture rates among community-dwelling adults have decreased over time. A non-significant increase in osteoporosis treatment rates was observed among LTC residents at high risk of fracture (FRS4 +). Residents in LTC are at very high risk for fracture and require individualized based on goals of care and life expectancy.
Expression and Relations of Unique miRNAs Investigated in Metabolic Bariatric Surgery: A Systematic Review
Authors: Hany Mohamed , Demerdash Hala M , Abouelnasr Anwar Ashraf , Torensma Bart 
Published: June 2024

AbstractSeveral studies have indicated that miRNAs play crucial roles in adipogenesis, insulin resistance, and inflammatory pathways associated with obesity and change after metabolic bariatric surgery (MBS). This systematic review explores and maps the existing literature on how miRNAs are expressed and investigates the unique miRNAs with the effects after MBS. The Cochrane Central Register of Controlled Trials (CENTRAL), PubMed, and EMBASE were searched from 2019 until February 2024. This SR found 825 miRNAs from 25 studies, identifying 507 unique ones not used twice in the same study. A total of 21 studies (84%) measured RNA before and after surgery. The miRNA used per study ranged from 1 to 146 miRNA types, with a median study sample size of just 27 patients per study, raising concerns about some conclusions’ robustness. From the 507 unique miRNAs, only 16 were consistently analyzed in 4 to 7 studies, which gave 77 different outcomes in relation to miRNA after MBS. MiRNA 122 and 122-5p were analyzed the most. Others were 106b-5p, 140-5p, 183-5p, 199b-5p, 20b-5p, 424-5p, 486-5p, 7-5p, 92a, 93-5p, 194-5p, 21-5p, 221, 320a, and 223-3p. A gap was observed in many studies, whereby the results were not the same, or there was no explanation for the effects after MBS was given within the same miRNA. Fifteen miRNAs were reported to have the same upward and downward trend, although not within the same study, and only 26.1% employed some form of statistical modeling to account for bias or confounding factors. Directions and effects in miRNA are visible, but still, inconsistent outcomes linked to the same miRNA after MBS, underscoring the need for clarity in miRNA-outcome relationships. Collaborative efforts, consensus-driven miRNA dictionaries, and larger, more rigorous studies are necessary to improve methodology designs and improve outcomes.
Dirichlet Problem for Nonlinear Higher-Order Equations in Upper Half Plane
Authors: Gökgöz Pelin Ayşe 
Published: June 2024

AbstractIn this article, we consider the Dirichlet problem for nonlinear higher-order equations in upper half plane. Firstly we introduce the solutions of inhomogeneous polyanalytic equation in upper half plane. Then we investigate the properties of relevant integral operators. Lastly we transform the Dirichlet problem for nonlinear higher-order equations in upper half plane into the system of integro-differential equations and we obtain the existence of unique solution using Banach fixed point theorem.
Review of Small Modular Reactors: Challenges in Safety and Economy to Success
Authors: Lee Jeong Ik 
Published: June 2024

AbstractThis paper explores the paradigm shift in nuclear energy generation from large, centralized nuclear power plants towards small modular reactors (SMRs), in response to the evolving economic, safety, and environmental challenges faced by the nuclear industry. For over 70 years, nuclear power has been a cornerstone of electricity generation, offering a low-carbon, reliable, and cost-effective solution. However, the traditional model of large-scale nuclear reactors has encountered significant barriers, including high financial risks, stringent safety concerns, and a lack of adaptability to smaller electrical grids, and changing energy markets. With over 70 types of SMRs currently under development globally, this study reviews several prominent models to assess their general characteristics and potential advantages. Through simple physical and economic models, the paper evaluates the impact of reducing reactor size on efficiency, safety, and cost, highlighting the shared traits and innovations across different SMR designs. The findings indicate that SMRs could address many of the limitations of conventional nuclear power, offering more flexible, scalable, and economically viable options for electricity generation. This paper finally tries to identify key technologies and strategic considerations essential for their successful deployment in a rapidly transforming global energy landscape.
Playing for peace: scoping review of sports programs as agents of peace
Authors: Rodríguez Sebastián , León-Prieto Catalina , Rodríguez-Jaime María Fernanda , Lugo Lady Stephania 
Published: June 2024

Abstract
The quest for peace and stability in contemporary society, particularly in conflict-affected regions, is of vital importance. In the 21st century, sport has evolved beyond its traditional role of entertainment and competition to become a powerful force for change. Its ability to bring people together, overcome cultural barriers and promote universal values makes it an effective vehicle for promoting peace and coexistence. Despite the undeniable potential of sport as a social bridge between divided communities, previous studies have not specifically addressed the concept of peace. In addition, researchers may need information on existing programs for study, replication or improvement. This study aims to provide an overview of programs that use sport to promote peace. Following the guidelines of the Joanna Briggs Institute and PRISMA, databases such as Scopus, PubMed, SciELO and EBSCO were searched. Two reviewers independently performed a thorough selection, including 17 manuscripts. The predominant methodology in these studies was qualitative. Within this context, most of the experiences recovered took place in Colombia, with soccer being the most used sport modality in such programs. These programs are presented as a tool to promote peace in diverse contexts of conflict, violence and community division, and their capacity to be instrumentalized for peaceful purposes is remarkable, even surpassing the capacity of States to regulate and resolve conflicts.
miR-200a-3p promotes the malignancy of endometrial carcinoma through negative regulation of epithelial-mesenchymal transition
Authors: Ma Ying , Wang Yiru , Wang Can , Wang Yan , Hu Jingshu , Zhang Zexue , Dong Tuo , Chen Xiuwei 
Published: June 2024

Abstract
Background
miR-200a-3p is involved in the progression of malignant behavior in various tumors, and its mechanism of action in endometrial cancer is speculated to be related to epithelial-mesenchymal transition (EMT). Therefore, this study explored the metastatic mechanism of miR-200a-3p and EMT in endometrial cancer, with the aim of identifying potential therapeutic targets.

Methods
qRT-PCR was used to analyze miR-200a-3p expression in HEC-1B and Ishikawa cell lines. The cell proliferation assay, transwell assay, and cell scratch test were used to assess changes in the malignant phenotypes of cells after regulating miR-200a-3p expression. Changes in EMT-related protein zinc finger E-box binding homeobox 1 (ZEB1) were detected after regulating miR-200a-3p expression. An endometrial carcinoma transplantation mouse tumor model was constructed, and multiple EMT-related proteins were examined.

Results
The expression of miR-200a-3p and ZEB1 in the endometrial cancer cell lines was higher than in normal endometrial epithelial cell lines (P < 0.05). After silencing miR-200a-3p, the expression of EMT-related protein ZEB1 increased, indicating a negative correlation. Simultaneously, the proliferation, invasion, and metastasis of endometrial cancer cells were significantly enhanced. After miR-200a-3p overexpression, the corresponding malignant phenotype was reversed (P < 0.05). In in vivo experiments, the degree of tumor malignancy and the expression level of EMT-related proteins were significantly reduced in the miR-200a-3p mimic group (P < 0.05).

Conclusion
This study found that miR-200a-3p is a promising target, regulating the EMT process and promoting endometrial cancer progression.
One-way ticket to the moon? An NLP-based insight on the phenomenon of small-scale neo-broker trading
Authors: Kant Gillian , Zhelyazkov Ivan , Thielmann Anton , Weisser Christoph , Schlee Michael , Ehrling Christoph , Säfken Benjamin , Kneib Thomas 
Published: June 2024

Abstract
We present an Natural Language Processing based analysis on the phenomenon of “Meme Stocks”, which has emerged as a result of the proliferation of neo-brokers like Robinhood and the massive increase in the number of small-scale stock investors. Such investors often use specific Social Media channels to share short-term investment decisions and strategies, resulting in partial collusion and planning of investment decisions. The impact of online communities on the stock prices of affected companies has been considerable in the short term. This paper has two objectives. Firstly, we chronologically model the discourse on the most prominent platforms. Secondly, we examine the potential for using collaboratively made investment decisions as a means to assist in the selection of potential investments.. To understand the investment decision-making processes of small-scale investors, we analyze data from Social Media platforms like Reddit, Stocktwits and Seeking Alpha. Our methodology combines Sentiment Analysis and Topic Modelling. Sentiment Analysis is conducted using VADER and a fine-tuned BERT model. For Topic Modelling, we utilize LDA, NMF and the state-of-the-art BERTopic. We identify the topics and shapes of discussions over time and evaluate the potential for leveraging information of the decision-making process of investors for trading choices. We utilize Random Forest and Neural Network Models to show that latent information in discussions can be exploited for trend prediction of stocks affected by Social Network driven herd behavior. Our findings provide valuable insights into content and sentiment of discussions and are a vehicle to improve efficient trading decisions for stocks affected from short-term herd behavior.