bluuebunny/crossref_metadata_2025_split huggingface dataset:
Navigating glioblastoma complexity: the interplay of neurotransmitters and chromatin
Authors: Romero-Reyes Jessica , Vázquez-Martínez Edgar Ricardo , Silva Carlos-Camilo , Molina-Hernández Anayansi , Díaz Néstor Fabián , Camacho-Arroyo Ignacio 
Published: August 2024

Abstract
Glioblastoma is the most aggressive brain cancer with an unfavorable prognosis for patient survival. Glioma stem cells, a subpopulation of cancer cells, drive tumor initiation, self-renewal, and resistance to therapy and, together with the microenvironment, play a crucial role in glioblastoma maintenance and progression. Neurotransmitters such as noradrenaline, dopamine, and serotonin have contrasting effects on glioblastoma development, stimulating or inhibiting its progression depending on the cellular context and through their action on glioma stem cells, perhaps changing the epigenetic landscape. Recent studies have revealed that serotonin and dopamine induce chromatin modifications related to transcriptional plasticity in the mammalian brain and possibly in glioblastoma; however, this topic still needs to be explored because of its potential implications for glioblastoma treatment. Also, it is essential to consider that neurotransmitters’ effects depend on the tumor’s microenvironment since it can significantly influence the response and behavior of cancer cells. This review examines the possible role of neurotransmitters as regulators of glioblastoma development, focusing on their impact on the chromatin of glioma stem cells.
Multi-objective Bayesian shape optimization of an industrial hydrodynamic separator using unsteady Eulerian-Lagrangian simulations
Authors: Roberts A. P. , Rahat A. A. M. , Jarman D. S. , Fieldsend J. E. , Tabor G. R. 
Published: August 2024

Abstract
The shape of a hydrodynamic particle separator has been optimized using a parallelized and robust formulation of Bayesian optimization, with data from an unsteady Eulerian flow field coupled with Lagrangian particle tracking. The uncertainty due to the mesh, initial conditions, and stochastic dispersion in the Eulerian-Lagrangian simulations was minimized and quantified. This was then translated across to the error term in the Gaussian process model and the minimum probability of improvement infill criterion. An existing parallelization strategy was modified for the infill criterion and customized to prefer exploitation in the decision space. In addition, a new strategy was developed for hidden constraints using Voronoi penalization. In the approximate Pareto Front, an absolute improvement over the base design of

$$14\%$$

14
%

in the underflow collection efficiency and

$$10\%$$

10
%

in the total collection efficiency was achieved, which resulted in the filing of a patent.* The corresponding designs were attributed to the effective distribution of residence time between the trays via the removal of a vertical plume. The plume also reduced both efficiencies by creating a flow path in a direction that acted against effective settling. The concave down and offset tray shapes demonstrated the value of Bayesian optimization in producing useful and non-intuitive designs.

Graphic abstract
Associations between attention and threat in dental settings
Authors: Behlau Isabelle , Behlau Alexander , Renner Karl-Heinz 
Published: August 2024

AbstractDental fear still causes health risks and high costs for health insurances due to the common avoidance of dental visits by dentally fearful patients. Selective attention may be a potential trigger of dental fear. The aim of the present studies was to investigate the influence of threatening dental stimuli in image combinations on the performance in a visual search task. In three studies, we compared the influence of dental stimuli with pictures of weapons or accidents and different distractors, i.e., cutlery, animals, landscapes. In the first two studies, participants had to decide if a target is available in a 3 × 3 matrix or not. In the third experiment, participants had to decide if a threatening or a neutral stimulus was the target. In all three studies we could replicate the finding that there is a threat-superiority-effect as well as a disengagement-effect for dental stimuli in visual search tasks. Dental stimuli were not only detected faster than deciding that no dental stimulus is available with different distractors, but dental stimuli also decreased search performance within the 3 × 3 matrices when presented as distractors. This is the first paper that demonstrates that dental stimuli that are associated with a negative threatening valence attract attention very quickly in the context of non-threatening stimuli. Future studies should investigate if a distraction from these threatening stimuli or a habituation to these threatening stimuli could reduce dental fear.
Immunobiological effects of lipopolysaccharide derived from Helicobacter pylori and influence of a proton pump inhibitor lansoprazole on human polymorphonuclear leukocytes
Authors: Koshibu Yoji , Ubagai Tsuneyuki , Yoshino Yusuke , Ono Yasuo 
Published: August 2024

AbstractHelicobacterpylori colonizes the human gastric mucosa of more than half of the human population and has a unique lipopolysaccharide (LPS) structure. LPS is the most dominant and suitable pathogen-associated molecular pattern that is detected via pattern recognition receptors. Although the priming effect of H. pylori LPS on reactive oxygen species (ROS) production of PMNs is lower than that of Escherichia coli O111:B4 LPS, LPS released from H. pylori associated with antibiotics eradication therapy may activate PMNs and increase ROS production. In addition, we describe the effects of H. pylori and E. coli O111:B4 LPSs on gene expression and the anti-inflammatory effect of lansoprazole (LPZ) in human polymorphonuclear leukocytes. LPS isolated from H. pylori and E. coli O111:B4 alters toll-like receptor 2 (TLR) and TLR4 expressions similarly. However, LPS from E. coli O111:B4 and H. pylori caused a 1.8-fold and 1.5-fold increase, respectively, in CD14 expression. All LPS subtypes upregulated TNFα and IL6 expression in a concentration-dependent manner. Although E. coli O111:B4 LPS upregulated IL8R mRNA levels, H. pylori LPS did not (≦ 100 ng/mL). Gene expression levels of ITGAM demonstrated no significant change on using both LPSs. These different effects on the gene expression in PMNs may depend on variations in LPS structural modifications related to the acquired immunomodulatory properties of H. pylori LPS. Proton pump inhibitors, i.e., LPZ, are used in combination with antibiotics for the eradication therapy of H. pylori. LPZ and its acid-activated sulphenamide form AG-2000 suppress ROS production of PMNs in a dose-dependent manner. These results suggest that LPZ combination with antibiotics for H. pylori eradication reduces gastric inflammation by suppressing ROS release from PMNs.
Conceptualizing Mindfulness Using Construal Level Theory: A Two-Dimensional Model
Authors: Bigman-Peer Noa , Yovel Iftah 
Published: August 2024

AbstractConstrual Level Theory (CLT) is a well-established, comprehensive framework that provides an account of the relationship between construal level and psychological distance, and the effects they have on cognitive processing and a wide range of phenomena. In this article we present a conceptualization of mindfulness based on the theoretical foundations of CLT. In light of mindfulness definitions and current research, it is difficult to determine whether mindfulness entails low psychological distance and concrete, non-conceptual representations of experience, or high psychological distance and abstract representations. We argue that mindfulness uniquely combines both. The two-dimensional model we present posits that mindfulness is characterized by a simultaneous decreased psychological distance from external sensory experiences and increased psychological distance from internal mental experiences. We highlight the uniqueness of this quality of mindfulness, and demonstrate how the formulation presented here not only aligns well with but also integrates research on mindfulness as a state of consciousness as well as a personality disposition. We further argue that this combination underlies the beneficial effects of mindfulness and delineate how it enables individuals to leverage the advantages and mitigate the drawbacks associated with both high and low levels of construal and psychological distance. The proposed two-dimensional model resolves contradictions in the literature, aiming to deepen our understanding of mindfulness, its benefits, and core mechanisms.
Language Agents and Malevolent Design
Authors: Yum Inchul 
Published: August 2024

AbstractLanguage agents are AI systems capable of understanding and responding to natural language, potentially facilitating the process of encoding human goals into AI systems. However, this paper argues that if language agents can achieve easy alignment, they also increase the risk of malevolent agents building harmful AI systems aligned with destructive intentions. The paper contends that if training AI becomes sufficiently easy or is perceived as such, it enables malicious actors, including rogue states, terrorists, and criminal organizations, to create powerful AI systems devoted to their nefarious aims. Given the strong incentives for such groups and the rapid progress in AI capabilities, this risk demands serious attention. In addition, the paper highlights considerations suggesting that the negative impacts of language agents may outweigh the positive ones, including the potential irreversibility of certain negative AI impacts. The overarching lesson is that various AI-related issues are intimately connected with each other, and we must recognize this interconnected nature when addressing those issues.
Expanding TBCE-related phenotype—novel variant causing rigid spine, eosinophilia, neutropenia, and nocturnal hypoxemia
Authors: Badura-Stronka Magdalena , Hirschfeld Adam Sebastian , Globa Evgenia , Winczewska-Wiktor Anna , Potulska-Chromik Anna , Kostera-Pruszczyk Anna , Wicher Dorota , Krawczyński Maciej Robert 
Published: August 2024

AbstractWe report three patients with the novel variant c.100 + 1G > A of the TBCE gene and describe the presented clinical phenotype in detail. We also systematically reviewed the literature for clinical similarities and dissimilarities among all known patients with pathogenic TBCE variants. The clinical phenotype observed in patients with pathogenic TBCE variants is broader than previously described. Homozygous carriers of the c.100 + 1G > A variant exhibit a markedly milder clinical course, with no deviations in the calcium-phosphate metabolism and central nervous system pathology in MRI studies. Additionally, two patients manifest highly specific symptoms such as a rigid spine, eosinophilia, neutropenia, and nocturnal hypoxemia. Furthermore, cryptorchidism was observed in male patients. The identification of the pathogenic c.100 + 1G > A variant has thus far been limited to patients of Central-Eastern European descent, suggesting a potential founder mutation in this population.
Identification of Microplane Coefficients to Reproduce the Behaviour of Ultrafine Blast-Furnace Slag Binder Grout Samples
Authors: Rodriguez-Mayorga Esperanza , Jiménez-Alonso Javier F. , Santiago-Espinal Jose A. , Ancio Fernando F. , Hortigon-Fuentes Beatriz 
Published: August 2024

AbstractUltra-fine blast-furnace slag binders have recently been introduced to repair masonry. The reduced particle diameter of these binders makes them especially suitable for use as grouts, since this characteristic enables these grouts to fill even the smallest voids. The current necessity and effectiveness of Finite Element Analysis in any process concerning construction, repair or reinforcement of building structures remains unquestionable. In this way, the calibration of Finite Element material models for their correct performance has become compulsory. Regarding quasi-brittle materials, such as mortar and grouts, the Microplane model is recommended to reproduce their behaviour. This paper is targeted towards obtaining Microplane model coefficients to exactly reproduce the behaviour of ultrafine blast-furnace slag grout samples. To this end, several compressive tests have been carried on in order to obtain the experimental stress–strain curves that define the behaviour of these samples. Furthermore, reverse engineering by means of an optimisation algorithm successfully attained the possible coefficients to reproduce this material with the Microplane model. The correctness of these coefficients has been verified with a new campaign composed of compressive tests, Double Punch tests, and flexural tests. These tests have been reproduced by Finite Element Analysis, thereby confirming the accuracy of the set of coefficients. Thus, two are the main conclusions obtained: (1) the framework for the modelling of ultra-fine blast-furnace slag grout elements based-on the Microplane model has been proposed, implemented and validated; and (2) a value for the coefficients of the abovementioned model has been proposed.
The $$*$$-Exponential as a Covering Map
Authors: Altavilla Amedeo , Mongodi Samuele 
Published: August 2024

AbstractWe employ tools from complex analysis to construct the $$*$$

∗

-logarithm of a quaternionic slice regular function. Our approach enables us to achieve three main objectives: we compute the monodromy associated with the $$*$$

∗

-exponential; we establish sufficient conditions for the $$*$$

∗

-product of two $$*$$

∗

-exponentials to also be a $$*$$

∗

-exponential; we calculate the slice derivative of the $$*$$

∗

-exponential of a regular function.
A Review of Software Solutions to Process Ground-based Point Clouds in Forest Applications
Authors: Murtiyoso Arnadi , Cabo Carlos , Singh Arunima , Obaya Dimas Pereira , Cherlet Wout , Stoddart Jaz , Fol Cyprien Raymi , Beloiu Schwenke Mirela , Rehush Nataliia , Stereńczak Krzysztof , Calders Kim , Griess Verena Christiane , Mokroš Martin 
Published: August 2024

Abstract
Purpose of Review
In recent years, the use of 3D point clouds in silviculture and forest ecology has seen a large increase in interest. With the development of novel 3D capture technologies, such as laser scanning, an increasing number of algorithms have been developed in parallel to process 3D point cloud data into more tangible results for forestry applications. From this variety of available algorithms, it can be challenging for users to decide which to apply to fulfil their goals best. Here, we present an extensive overview of point cloud acquisition and processing tools as well as their outputs for precision forestry. We then provide a comprehensive database of 24 algorithms for processing forest point clouds obtained using close-range techniques, specifically ground-based platforms.

Recent Findings
Of the 24 solutions identified, 20 are open-source, two are free software, and the remaining two are commercial products. The compiled database of solutions, along with the corresponding technical guides on installation and general use, is accessible on a web-based platform as part of the COST Action 3DForEcoTech. The database may serve the community as a single source of information to select a specific software/algorithm that works for their requirements.

Summary
We conclude that the development of various algorithms for processing point clouds offers powerful tools that can considerably impact forest inventories in the future, although we note the necessity of creating a standardisation paradigm.
Sustainability, Circularity, and Innovation in Wood-based Panel Manufacturing in the 2020s: Opportunities and Challenges
Authors: Garcia Rosilei , Calvez Ingrid , Koubaa Ahmed , Landry Véronic , Cloutier Alain 
Published: August 2024

Abstract
Purpose of review
This review explores the opportunities and challenges associated with using unconventional and underutilized wood sources, such as fast-growing species, logging residues, fire-damaged wood, and post-consumer wood, to manufacture wood-based composite panels (WBCPs), particularly particleboard, medium-density fiberboard (MDF), and oriented strand board. This paper also discusses recent advancements in lightweight and multifunctional panels, with new features such as fire resistance, electrical conductivity, electromagnetic shielding, and antibacterial laminates.

Recent findings
Climate change, wildfires, and competition from the energy sector threaten current sources of fiber supply for WBCP manufacturing in some regions. Logging residues are abundant but underutilized in some areas, and the abundance of fire-damaged wood is expected to increase in the coming years due to climate change. These raw materials’ effects on panel properties and technological limitations are discussed. Recycled wood is increasingly used for non-structural panels, but challenges remain when it comes to recycling panels, particularly post-consumer MDF. Conventional and emerging materials used in lightweight and multifunctional panels are also presented. Natural substances like cellulose, nanocellulose, chitosan, lignin, protein, and phytic acid are promising alternatives to conventional fire retardants. Innovative products such as MDF that contains carbon-based conductive fibers and antimicrobial laminates that use green-synthesized metal compounds are also reported.

Summary
This review shows that the WBCP industry can improve its sustainability by optimizing and diversifying wood sources, better managing and recycling post-consumer panels, and using more environmentally friendly materials. The hazardous chemicals in adhesives, fire retardants, and coatings are the main obstacles to recycling panels and creating a more circular economy within the WBCP industry.
Proposal of a Compact Neuro-Fuzzy Adaptive Controller for Filling Regulation of Two Coupled Spherical Tanks
Authors: Espitia Helbert , Machón Iván , López Hilario 
Published: August 2024

AbstractThis paper displays the set up and simulation of a compact neuro-fuzzy adaptive scheme for the filling regulation of two coupled spherical tanks. The suggested scheme employs two compact neuro-fuzzy blocks: the first one to model the plant, and the second one for the controller implementation. In this scheme, the controller is trained employing the fuzzy model estimated with data of the system working in closed-loop. Thus, the controller optimization iteratively is performed when plant variations occur. The work also includes the deduction of the equations for training, showing the adaptive process employing neuro-fuzzy systems. Moreover, the training (optimization) process of the controller’s neuro-fuzzy system includes within the adjustment function the control action and the error signal. Various experimental cases are considered using statistical analysis to verify behaviors in the adaptive control system. In this order, the main contribution of this work consists of the adjustment (coupling) of two structures of compact neuro-fuzzy systems used for identification and control, as well as the deduction and adjustment of the training algorithms to implement the adaptive control system.
Assessment of the persisting effects of increased public funding for agriculture in Nigeria
Authors: Hatzenbuehler Patrick L. , Mavrotas George 
Published: August 2024

AbstractRecent economywide forecast studies have identified government funding as essential for agricultural sector development and modernization in Nigeria. However, like many African countries, Nigeria has had challenges in meeting public agricultural expenditure pledges on a consistent basis. Despite volatility in public funding for agriculture from year to year, the Agricultural Transformation Agenda (ATA) of 2011–2015, an agricultural policy initiative led by the Nigerian Federal Ministry of Agriculture and Rural Development, represented a distinct departure from previous agricultural policies because of its multifaceted approach that included both increased expenditures on agricultural programs and other reforms designed to enhance agricultural modernization. The objective of this study was to determine whether there is empirical evidence of persisting effects from implementation of the ATA and to characterize such types of effects. The empirical analysis included both trade and farm household data, and the results showed that imports of seeds (maize and vegetables) and herbicides/pesticides were higher and less variable in the ATA and post-ATA period than in the pre-ATA period. Additionally, higher percentages of farm households purchased fertilizer and seed and used herbicide in the post-ATA period than in the early ATA period.
How well do couples know their partners’ preferences? Experimental evidence from joint recreation
Authors: Boto-García David , Mariel Petr 
Published: August 2024

AbstractThere are many situations in which one partner must make decisions on behalf of the couple. In such cases, incomplete knowledge about the partner’s likes and desires might lead to suboptimal decisions. This paper investigates whether individuals hold accurate beliefs about their partners’ tastes. In particular, we look at gender differences in knowledge about one’s partner’s preferences in the context of joint recreation. We conduct a Discrete Choice Experiment on a sample of couples from northern Spain to elicit the individual’s own and their prediction of their partner’s preferences for travel characteristics. Using Latent Class Modelling (LCM) to allow for preference heterogeneity, we find that, in general terms, both partners hold pretty accurate beliefs about the other’s likes and dislikes when selecting a travel package. Nonetheless, males are found to know their female partner’s preferences slightly better.
Effects of Automation on Mexican Automotive Employment: 2013–2022
Authors: Márquez Stone Vladimir , Sandoval Cabrera Seyka Verónica 
Published: August 2024

AbstractThis article analyses the empirical relationship between the introduction of automation technology—industrial robots—and the employment and wages of workers in the Mexican automotive industry from 2013 to 2022. Drawing on contemporary debates surrounding automation and technological unemployment, we describe the Mexican labour market’s conditions in the context of trade openness, the technological capabilities of the Mexican automotive industry, and the implementation of industrial robots. We examine this relationship using a random effects panel data model across 14 Mexican states, constructed with values from the Monthly Survey of the Manufacturing Industry (EMIM), the Mexican Ministry of Economy (SE), and the International Federation of Robotics. Our results suggest that adopting industrial robots correlates positively with the employment and salaries of automobile sector workers in the study period. We discuss the implications of changes in jobs and wages in the Mexican automotive industry, highlighting the consequences of technological change.