bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effects of cancer severity on the relationship between emotional intelligence, perceived social support, and psychological distress in Italian women
Authors: Bruno Francesco , Lau Chloe , Tagliaferro Carlotta , Marunic Georgia , Quilty Lena C. , Liuzza Marco Tullio , Chiesi Francesca 
Published: February 2024

Abstract
Purpose
This study aims to understand the association between emotional intelligence, perceived social support, and psychological distress (i.e., anxiety, depression, stress) in women with cancer at different stages. Specifically, the aims of this study were to investigate: i) the links between emotional intelligence and psychological distress (i.e., symptoms of anxiety, stress and depression); ii) the mediating role of perceived social support provided by family members, friends, and significant others in the relationship between emotional intelligence and psychological distress; iii) the impact of cancer type and cancer stage (I-II vs III-IV) in moderating these relationships, among Italian women.

Methods
The research sample consisted of 206 Italian women (mean age = 49.30 ± 10.98 years; 55% breast cancer patients) who were administered a questionnaire to assess emotional intelligence, perceived social support, and psychological distress. Structural equation model (SEM) analysis was carried out to confirm the hypothetical-theoretical model.

Results
Emotional intelligence had a positive association with perceived social support, which in turn prevented psychological distress only in women with early-stages cancers. The type of cancer has no effect on these relationships.

Conclusions
The findings of this study indicate a pressing need to screen and recognize women with lower emotional intelligence and perceived social support, as they may be more prone to experiencing psychological distress. For such individuals, our results recommend the implementation of psychological interventions aimed at enhancing emotional intelligence and fortifying their social support networks, with consideration for the stage of cancer they are facing.
Investigation of encapsulated water wire within self-assembled hydrophilic nanochannels, in a modified γ4-amino acid crystals: Tracking thermally induced changes of intermolecular interactions within a crystalline hydrate
Authors: Basuroy Krishnayan , de Jesus Velazquez-Garcia Jose , Techert Simone 
Published: February 2024

AbstractNanostructures formed by the self-assembly of modified/unmodified amino acids have the potential to be useful in several biological/nonbiological applications. In that regard, the greater conformational space provided by γ-amino acids, owing to their additional backbone torsional degrees of freedom and enhanced proteolytic stability, compared to their α-counterparts, should be explored. Though, modified single amino acid-based nanomaterials such as nanobelts or hydrogels are developed by utilizing the monosubstituted γ-amino acids derived from the backbone homologation of phenylalanine (Phe). Examples of a single γ-amino acid-based porous nanostructure capable of accommodating solvent molecules are not really known. The crystal structures of a modified γ4(R)Phe residue, Boc-γ4(R)Phe-OH, at different temperatures, showed that hydrogen-bonded water molecules are forming a wire inside hydrophilic nanochannels. The dynamics of intermolecular interactions between the water wire and the inner wall of the channel with relation to the temperature change was investigated by analyzing the natural bonding orbital (NBO) calculation results performed with the single crystal structures obtained at different temperature points. The NBO results showed that from 325 K onward, the strength of water–water interactions in the water wire are getting weaker, whereas, for the water–inner wall interactions, it getting stronger, suggesting a favorable change in the orientation of water molecules with temperatures, for the latter.
Role of women empowerment on mental health problems and care-seeking behavior among married women in Nepal: secondary analysis of nationally representative data
Authors: Shawon Md Shajedur Rahman , Hossain Fariha Binte , Ahmed Robin , Poly Isfar Jahan , Hasan Moushumi , Rahman Mohammad Rifat 
Published: February 2024

Abstract
Purpose
This study investigates the associations between women empowerment and the prevalence of mental health symptoms and care-seeking behavior among ever-married Nepalese women aged 15–49 years.

Methods
We utilized 2022 Nepal Demographic and Health Survey data to measure women empowerment, employing the Survey-Based Women’s Empowerment (SWPER) index. The index focuses on the domains of social independence, decision-making, and attitudes towards violence. Symptoms of anxiety and depression were measured using the Generalized Anxiety Disorder-7 scale (GAD-7) and the Patient Health Questionnaire (PHQ-9), respectively. Multiple logistic regression was performed to estimate adjusted odds ratio (aOR) for associations of women empowerment domains and mental health problems and care-seeking behavior.

Results
Among 5556 women, the prevalence of symptoms of anxiety and depression was 23.1% and 6.1%, respectively. Among those with any symptoms of anxiety or depression, 18.3% sought care. Compared to women with low level of empowerment in the “social independence” domain, those with high level of empowerment were less likely to suffer from symptoms of anxiety (aOR = 0.68; 95%CI, 0.57–0.82) and depression (aOR = 0.69; 95%CI, 0.50–0.94). However, high empowerment in “decision-making” domain was associated with higher likelihood of anxiety (aOR = 1.67; 95%CI, 1.33–2.10) and depression (aOR = 1.80; 95%CI, 1.26–2.58). There was evidence of positive association between high empowerment in “decision-making” and care-seeking (aOR = 1.28; 95%CI, 0.96–1.71).

Conclusions
This study underscores important roles of women empowerment on mental health symptoms and care-seeking behavior, suggesting the need to integrate empowerment initiatives into strategies to promote mental health among women in Nepal and similar low- and middle-income settings.
The impact of folate pathway variants on the outcome of methotrexate therapy in rheumatoid arthritis patients
Authors: Nomair Azhar M. , Abdelati Abeer , Dwedar Fatma I. , Elnemr Rehab , Kamel Yasmine N. , Nomeir Hanan M. 
Published: February 2024

Abstract
Background
There are currently no validated criteria that entirely explain or predict response to methotrexate (MTX) treatment in rheumatoid arthritis (RA). We tried to identify the connection between three variants (RFC1 G80A (rs1051266), TYMS 2R/3R (rs34743033), and ATIC C347G (rs2372536)) in the folate pathway of MTX metabolism and the response to MTX monotherapy in a cohort of RA cases.

Methods
A prospective study on 100 RA patients on MTX monotherapy was performed. Disease activity was measured at the start of treatment and 6 months after treatment with MTX. The patients were then split into two groups: those who responded to the treatment and those who did not. The molecular genetic study for the RFC1 (G80A) variant was employed via the PCR-restriction fragment length polymorphism (PCR–RFLP) technique, the ATIC (C347G) variant was performed using TaqMan allelic discrimination real-time PCR, and the tandem repeat sequences of TYMS (2R/3R) were amplified by conventional PCR and detected by agarose gel electrophoresis.

Results
The genotype distribution of RFC-1 (G80A) showed significant variations among non-responders and responders in the recessive genetic model. A significant difference was found in TYMS (2R/3R) in the dominant and heterozygous genetic models. However, ATIC (C347G) genotype frequency did not exhibit substantial link with drug response in all genetic models. Furthermore, the genotype and allele rates of the analyzed variants did not show any significant association with adverse events in all genetic models.

Conclusion
The 80AA genotype of RFC-1 G80A and the 2R/3R or 3R/3R genotypes of TYMS 2R/3R are more vulnerable to the good consequences of MTX therapy.

Key Points

• Current recommendations support the gold standard role of MTX as a first-line monotherapy for RA patients. However, up to 40% of RA patients do not respond or exhibit partial response to MTX.• Persistent disease activity due to treatment unresponsiveness will affect the long-term outcomes in RA patients.• We aimed, through molecular genetic study, to identify the connection between three variants in the folate pathway of MTX metabolism and the response to methotrexate monotherapy in a cohort of RA patients.
Designing tractable piecewise affine policies for multi-stage adjustable robust optimization
Authors: Thomä Simon , Walther Grit , Schiffer Maximilian 
Published: February 2024

AbstractWe study piecewise affine policies for multi-stage adjustable robust optimization (ARO) problems with non-negative right-hand side uncertainty. First, we construct new dominating uncertainty sets and show how a multi-stage ARO problem can be solved efficiently with a linear program when uncertainty is replaced by these new sets. We then demonstrate how solutions for this alternative problem can be transformed into solutions for the original problem. By carefully choosing the dominating sets, we prove strong approximation bounds for our policies and extend many previously best-known bounds for the two-staged problem variant to its multi-stage counterpart. Moreover, the new bounds are—to the best of our knowledge—the first bounds shown for the general multi-stage ARO problem considered. We extensively compare our policies to other policies from the literature and prove relative performance guarantees. In two numerical experiments, we identify beneficial and disadvantageous properties for different policies and present effective adjustments to tackle the most critical disadvantages of our policies. Overall, the experiments show that our piecewise affine policies can be computed by orders of magnitude faster than affine policies, while often yielding comparable or even better results.
To choose or not to choose? Effects of choice in authentic context-based learning environments
Authors: Güth Fabien , van Vorst Helena 
Published: February 2024

AbstractContext-based learning (CBL) environments are widely used in science education to create authentic learning opportunities. Contexts can be authentic through their relation to everyday life, to uncommon scientific phenomena, or to the chemical laboratory. Previous research revealed that students choose contexts that are authentic in different ways depending on their individual characteristics. Self-determination theory and psychological research indicate that it is not the choice itself that is beneficial for learning, but rather the congruence between the characteristics of the participants and the task. The extent to which these results are transferable to CBL in chemistry education and the effects on cognitive load have not yet been analyzed. The focus of the present study was to investigate whether the choice of a contextualized task or the congruence between context and student are causal for beneficial effects in situational interest, cognitive load, and task-related satisfaction. We conducted an experimental study with 217 third-year chemistry students comparing three treatments while learning in a CBL environment. In the first group, students could choose a contextual task that was varied in terms of authenticity. Students in the second group were assigned a contextual task by an artificial neural network that matched their individual characteristics. Students in the third group were assigned a contextualized task by the neural network that did not match their individual characteristics. Multilevel analyses show that whether the context is chosen or not is irrelevant for situational interest and task-related satisfaction if the context fits the individual characteristics of the students.
Revisiting the leeway of shipping containers: a case study of the M/V Zim Kingston incident
Authors: Sutherland Graig , Chang Kuo-Hsien , Pestieau Paul 
Published: February 2024

AbstractOn 22 October 2021, 109 shipping containers fell overboard from the M/V Zim Kingston in rough seas off the coast of Vancouver Island, British Columbia, Canada. While afloat, these shipping containers pose a significant risk to marine traffic in addition to being a source of marine pollution. Out of the 109 shipping containers, 4 were discovered on the beaches of northwest Vancouver Island 5 days later. Drift simulations were made using the standard leeway tables for shipping containers that vary with the immersion fraction of the shipping container. These leeway values over the expected range of immersion levels underestimated the travelled distance of the shipping containers relative to the observed grounding locations. An increase in the leeway of 1.5% of the wind speed improves the agreement between the simulations and observations, which is consistent with the addition of the Stokes drift to the leeway of the shipping container. It is argued that the leeway measured using the direct method, which was used to calculate the leeway of shipping containers, does not implicitly include the Stokes drift as previously suggested. This result suggests that the Stokes drift should be added to the leeway calculated with the direct method. While the error is small over timescales of 24 to 48 h, it accumulates in time and is appreciable for drift prediction greater than 48 h.
Differential control of sympathetic outflow to muscle and skin during physical and cognitive stressors
Authors: McCarthy Brendan , Datta Sudipta , Sesa-Ashton Gianni , Wong Rebecca , Dawood Tye , Macefield Vaughan G. 
Published: February 2024

Abstract
Purpose
Sympathetic nerve activity towards muscle (MSNA) and skin (SSNA) regulates various physiological parameters. MSNA primarily functions in blood pressure and flow, while SSNA operates in thermoregulation. Physical and cognitive stressors have been shown to have effects on both types of sympathetic activity, but there are inconsistencies as to what these effects are. This article aims to address the discrepancies in the literature and compare MSNA and SSNA responses.

Methods
Microelectrode recordings were taken from the common peroneal nerve in 29 participants: MSNA (n = 21), SSNA (n = 16) and both MSNA and SSNA (n = 8). Participants were subjected to four different 2-min stressors: two physical (isometric handgrip task, cold pressor test) and two cognitive (mental arithmetic task, Stroop colour–word conflict test), the latter of which saw participants separated into responders and non-responders to the stressors. It was hypothesised that the physical stressors would have a greater effect on MSNA than SSNA, while the cognitive stressors would operate conversely.

Results
Peristimulus time histogram (PSTH) analysis showed the mental arithmetic task to significantly increase both MSNA and SSNA; the isometric handgrip task and cold pressor test to increase MSNA, but not SSNA; and Stroop test to have no significant effects on changing MSNA or SSNA from baseline. Additionally, stress responses did not differ between MSNA and SSNA in participants who had both sets of data recorded.

Conclusions
This study has provided evidence to support the literature which claims cognitive stressors increase sympathetic activity, and provides much needed SSNA data in response to stressors.
Monitoring carbon emissions using deep learning and statistical process control: a strategy for impact assessment of governments’ carbon reduction policies
Authors: Ezenkwu Chinedu Pascal , Cannon San , Ibeke Ebuka 
Published: February 2024

AbstractAcross the globe, governments are developing policies and strategies to reduce carbon emissions to address climate change. Monitoring the impact of governments’ carbon reduction policies can significantly enhance our ability to combat climate change and meet emissions reduction targets. One promising area in this regard is the role of artificial intelligence (AI) in carbon reduction policy and strategy monitoring. While researchers have explored applications of AI on data from various sources, including sensors, satellites, and social media, to identify areas for carbon emissions reduction, AI applications in tracking the effect of governments’ carbon reduction plans have been limited. This study presents an AI framework based on long short-term memory (LSTM) and statistical process control (SPC) for the monitoring of variations in carbon emissions, using UK annual CO2 emission (per capita) data, covering a period between 1750 and 2021. This paper used LSTM to develop a surrogate model for the UK’s carbon emissions characteristics and behaviours. As observed in our experiments, LSTM has better predictive abilities than ARIMA, Exponential Smoothing and feedforward artificial neural networks (ANN) in predicting CO2 emissions on a yearly prediction horizon. Using the deviation of the recorded emission data from the surrogate process, the variations and trends in these behaviours are then analysed using SPC, specifically Shewhart individual/moving range control charts. The result shows several assignable variations between the mid-1990s and 2021, which correlate with some notable UK government commitments to lower carbon emissions within this period. The framework presented in this paper can help identify periods of significant deviations from a country’s normal CO2 emissions, which can potentially result from the government’s carbon reduction policies or activities that can alter the amount of CO2 emissions.
European highways and the geographic diffusion of economic activities from agglomerations to less urbanised areas
Authors: Ignatov Augustin 
Published: February 2024

AbstractThis paper analyses the impact of highways on the distribution of economic activities between urban agglomerations and peripheral regions in the European Union. In doing so, I use an empirical strategy based on the land use theory employing disaggregated economic and infrastructure data. To address endogeneity, I apply an IV strategy exploiting non-local highway construction as a source of exogenous variation. I find that highways contribute to the diffusion of urban economic activities into surrounding areas, reducing the income gap between European agglomerations and peripheries. Reduced-form estimations suggest that the gap would have been nearly 3% higher in 2020 if the highway networks of European countries had remained at the level of 1990. The study concludes that transportation infrastructure policies can alleviate regional income disparities, increasing economic convergence between urbanised and less urbanised areas.
Ethics of generative AI and manipulation: a design-oriented research agenda
Authors: Klenk Michael 
Published: February 2024

AbstractGenerative AI enables automated, effective manipulation at scale. Despite the growing general ethical discussion around generative AI, the specific manipulation risks remain inadequately investigated. This article outlines essential inquiries encompassing conceptual, empirical, and design dimensions of manipulation, pivotal for comprehending and curbing manipulation risks. By highlighting these questions, the article underscores the necessity of an appropriate conceptualisation of manipulation to ensure the responsible development of Generative AI technologies.
Fusion of Time-of-Flight Based Sensors with Monocular Cameras for a Robotic Person Follower
Authors: Sarmento José , Neves dos Santos Filipe , Silva Aguiar André , Filipe Vítor , Valente António 
Published: February 2024

AbstractHuman-robot collaboration (HRC) is becoming increasingly important in advanced production systems, such as those used in industries and agriculture. This type of collaboration can contribute to productivity increase by reducing physical strain on humans, which can lead to reduced injuries and improved morale. One crucial aspect of HRC is the ability of the robot to follow a specific human operator safely. To address this challenge, a novel methodology is proposed that employs monocular vision and ultra-wideband (UWB) transceivers to determine the relative position of a human target with respect to the robot. UWB transceivers are capable of tracking humans with UWB transceivers but exhibit a significant angular error. To reduce this error, monocular cameras with Deep Learning object detection are used to detect humans. The reduction in angular error is achieved through sensor fusion, combining the outputs of both sensors using a histogram-based filter. This filter projects and intersects the measurements from both sources onto a 2D grid. By combining UWB and monocular vision, a remarkable 66.67% reduction in angular error compared to UWB localization alone is achieved. This approach demonstrates an average processing time of 0.0183s and an average localization error of 0.14 meters when tracking a person walking at an average speed of 0.21 m/s. This novel algorithm holds promise for enabling efficient and safe human-robot collaboration, providing a valuable contribution to the field of robotics.
Stability of the bulk gap for frustration-free topologically ordered quantum lattice systems
Authors: Nachtergaele Bruno , Sims Robert , Young Amanda 
Published: February 2024

AbstractWe prove that uniformly small short-range perturbations do not close the bulk gap above the ground state of frustration-free quantum spin systems that satisfy a standard local topological quantum order condition. In contrast with earlier results, we do not require a positive lower bound for finite-system spectral gaps uniform in the system size. To obtain this result, we extend the Bravyi–Hastings–Michalakis strategy so it can be applied to perturbations of the GNS Hamiltonian of the infinite-system ground state.
Modelling the impact of opinion flexibility on the vaccination choices during epidemics
Authors: Della Marca Rossella , Menale Marco 
Published: February 2024

AbstractSpontaneous behavioural responses of individuals to epidemics are a relevant factor in the understanding of infection dynamics. In this work, we consider a vaccine–preventable infectious disease spreading within a population, where vaccination is on a voluntary basis and individuals can conform to either the pro–vaccine or the anti–vaccine group. A switch of vaccinating attitude may occur following an imitation game dynamics. In particular, we incorporate the role of individuals’ opinion flexibility, that is a measure of the personal propensity to change opinion, in the switch of vaccinating attitude. We consider a disease dynamics of Susceptible–Infected–Removed type. Then, we use the tools of kinetic theory to describe the overall system at microscopic, mesoscopic and macroscopic scale. Finally, the role of flexibility of opinion on the vaccination choice during an epidemic is shown by providing some numerical simulations.