bluuebunny/crossref_metadata_2025_split huggingface dataset:
Hydrophenoxylation of alkynes by gold catalysts: a mini review
Authors: Ramos Miguel , Solà Miquel , Poater Albert 
Published: September 2024

Abstract
Context
The field of chemistry has significantly evolved, with catalysis playing a crucial role in transforming chemical processes. From Valerius’ use of sulfuric acid in the sixteenth century to modern advancements, catalysis has driven innovations across various industries. The introduction of gold as a catalyst marked a pivotal shift, expanding its applications beyond ornamentation to homogeneous catalysis. Gold’s unique properties, such as its electrophilic nature and flexibility, have enabled its use in synthesizing complex molecules, including those in nanomedicine and sustainable chemical processes. The development of gold-based complexes, particularly in hydroalkoxylation and hydroamination reactions, showcases their efficiency in forming carbon–oxygen bonds under mild conditions. Recent studies on dual gold catalysis and heterobimetallic complexes further highlight gold’s versatility in achieving high turnover rates and selectivity. This evolution underscores the potential of gold catalysis in advancing environmentally sustainable methodologies and enhancing the scope of modern synthetic chemistry. The debate about the nature of monogold and dual-gold catalysis is open.

Methods
DFT calculations have played a key role in promoting the activation of alkynes, in particular the hydrophenoxylation of alkynes by metal-based catalysts. They not only help identify the most efficient and selective catalysts but also aid in screening for those capable of performing a dual metal catalytic mechanism. The most commonly used functionals are BP86 and B3LYP, with the SVP and 6-31G(d) basis sets employed for geometry optimizations, and M06 with TZVP or 6-311G(d,p) basis sets used for single-point energy calculations in a solvent. Grimme dispersion correction has been explicitly added either in the solvent single point energy calculations or in the gas phase geometry optimizations or in both. To point out that M06 implicitly includes part of this dispersion scheme.
Assessing a decade of leukaemia-related premature mortality costs: impact on productivity loss in Spain
Authors: Darbà Josep , Ascanio Meritxell , Agüera Ainoa 
Published: September 2024

Abstract
Introduction
Cancer mortality is one of the dominant causes of productivity loss; and within all cancer sites, blood cancer is the fourth most common cause of death in Spain. Thus, its impacts in work productivity are a major concern and represent a high social impact. The aim of this study was to evaluate the productivity losses resulting from of premature deaths due to leukaemia in Spain.

Methods
The productivity costs stemming from premature mortality due to leukaemia were estimated using the human capital method. Information pertaining to mortality rates, typical incomes, and joblessness figures was gathered throughout a decade-long period spanning from 2012 to 2021.

Results
Leukaemia caused 40% of haematological malignancies losses. It represented a 3.39% of all cancer-related deaths. In addition, it was responsible for 7,851 years of potential productive life lost (YPLPLL) in 2021, and productivity losses of €4,206.52 million over the 10-year period. All these numbers are relevant for Spain as will help on a more efficient distribution of resource.

Conclusions
These productivity losses obtained, highlight the burden of leukaemia on the Spanish population, providing novel data on the number of deaths, trends and productivity losses for this type of cancer. This evaluation offers fresh insights that can aid policymakers in efficiently distributing resources, thereby lessening the economic burden it imposes on individuals of working age.
Marine organisms transported by seabirds may contribute significantly to Arctic charr diet in coastal High-Arctic lakes
Authors: Svenning Martin-A. , Borgstrøm Reidar 
Published: September 2024

AbstractThe rich marine resources along the western coast of Spitsbergen (Svalbard) have given rise to colonies of breeding seabirds, which likely represent an important vector of nutrient transport from marine to terrestrial environments. These seabirds may also supply additional nutrients to lakes via their droppings, while bathing and/or when being attacked by other birds during flight to their nest sites. To study the importance of such droppings in the diet of freshwater fish, we sampled Arctic charr by gillnetting during a three-week period in the oligotrophic Lake Arresjøen in northwestern Svalbard. Marine fish and invertebrates made up more than 12% of the dry weight of the stomach contents of Arctic charr larger than 24 cm captured in the littoral zone. This suggests that the seabird transport of marine organisms contributes directly to the diet of Arctic charr in coastal High-Arctic lakes, but this contribution may also give a higher load of mercury and polychlorinated compounds.
On the Fueter–Sce theorem for generalized partial-slice monogenic functions
Authors: Xu Zhenghua , Sabadini Irene 
Published: September 2024

AbstractIn a recent paper, we introduced the concept of generalized partial-slice monogenic functions. The class of these functions includes both monogenic functions and slice monogenic functions with values in a Clifford algebra. In this paper, we establish a version of the Fueter–Sce theorem in this new setting, which allows to construct monogenic functions in higher dimensions starting from generalized partial-slice monogenic functions. We also prove that an alternative construction can be obtained by using the dual Radon transform. It turns out that these two constructions are closely related to the generalized CK-extension.
Controls on mesophotic carbonate facies and sediment distribution across the Maltese shelf, central Mediterranean Sea
Authors: Bialik Or M. , Coletti Giovanni , Berndt Christian , Schmidt Mark , Micallef Aaron 
Published: September 2024

AbstractAlthough ~ 20% of global carbonate production occurs on extra-tropical carbonate depositional systems, our understanding of these environments still lags behind that of tropical ones. The Maltese shelf in the central Mediterranean offers an opportunity to study in situ facies distribution and the factors controlling it in a light-dominated setting. The investigated region of the Maltese shelf visually exhibits three main depositional environments: seagrass meadows, sand flats and rhodolith and maerl beds. While visually distinctive, the grain composition of the sediments does not provide a clear differentiation of the three environments but rather a gradient. This gradient is marked by increasing grain size with water depth, a transition from green to red calcareous algae and an increase in the fraction of low magnesium calcite of total carboantes. While some of these features can be explained by changes in light availability, other factors are also in play. Baffling by seafloor vegetation and currents, storms and internal waves inducing sediment reworking appear to play important roles in governing the sediment texture and composition across the Maltese shelf. The role of seagrass meadows in regulating production and accumulation rates of carbonates appears to be of greater importance in Mediterranean C-type carbonate factories than in southern Atlantic ones and this could be an important marker to identify them in the geological record.
M.D. meets machine: the symbiotic future of surgical learning
Authors: Łajczak Paweł , Janiec Julita , Żerdziński Krzysztof , Jóźwik Kamil , Nowakowski Przemysław , Nawrat Zbigniew 
Published: September 2024

Summary
Background
The rapidly expanding field of robot-assisted surgery necessitates a parallel evolution in surgical education. A surgeon introduced to the telemanipulator control system can count on technological support that increases precision and supports decisions made during surgery. Generally, the surgeon (operator) is an integral part of the robot, so the synergy of this cooperation may bring the expected progress in access to high-quality services for many patients.

Methods
This review explores the current state of robotic surgery education, analyzing its limitations and established applications. Additionally, it delves into promising future directions, including the potential of artificial intelligence and advancements in training methods.

Results
This review identifies key challenges and highlights innovative strategies such as virtual reality simulation and cadaveric training. Furthermore, it emphasizes the importance of developing standardized national curricula to ensure consistent training quality.

Conclusion
This review emphasizes the need for a robust educational framework to equip surgeons with the necessary skills for safe and effective robotic surgery integration. The use of high-tech tools also requires the use of innovative educational methods. By embracing innovative technologies and prioritizing a standardized curriculum, we can ensure that the future of surgical training empowers surgeons and ultimately improves patient outcomes.
Clinical and sociodemographic determinants of older breast cancer survivors’ reports of receiving advice about exercise
Authors: Wojcik Kaitlyn M. , Wilson Oliver W. A. , Kamil Dalya , Rajagopal Padma Sheila , Schonberg Mara A. , Jayasekera Jinani 
Published: September 2024

Abstract
Purpose
Exercise offers various clinical benefits to older breast cancer survivors. However, studies report that healthcare providers may not regularly discuss exercise with their patients. We evaluated clinical and sociodemographic determinants of receiving advice about exercise from healthcare providers among older breast cancer survivors (aged ≥65 years).

Methods
We used data from the Surveillance, Epidemiology, and End Results cancer registries linked to the Medicare Health Outcomes Survey (MHOS) from 2008 to 2015. We included female breast cancer survivors, aged ≥65 years, who completed the MHOS survey ≥2 years after a breast cancer diagnosis in a modified Poisson regression to identify clinical and sociodemographic determinants of reportedly receiving advice about exercise from healthcare providers.

Results
The sample included 1,836 breast cancer survivors. The median age of the sample was 76 years (range: 72–81). Overall, 10.7% of the survivors were non-Hispanic Black, 10.1% were Hispanic, and 69.3% were non-Hispanic White. Only 52.3% reported receiving advice about exercise from a healthcare provider. Higher body mass index (BMI) and comorbid medical history that included diabetes, cardiovascular, or musculoskeletal disease were each associated with a higher likelihood of receiving exercise advice. Lower education levels, lower BMI, and never having been married were each associated with a lower likelihood of receiving exercise advice.

Conclusions
Nearly half of breast cancer survivors aged ≥65 years did not report receiving exercise advice from a healthcare provider, suggesting interventions are needed to improve exercise counseling between providers and survivors, especially with women with lower educational attainment who have never been married.
Thermal removal of binder from waste glass wool intended for recycling
Authors: Rywotycki Marcin , Cebo-Rudnicka Agnieszka , Szajding Artur , Kąc Sławomir , Rikardsen Mads , Heggelund Johan , Tretel Pawel , Jerzak Wojciech 
Published: September 2024

AbstractGlass wool waste constitutes a large amount of waste both in the production process and after the demolition of buildings. The storage of these materials in landfills is associated with their large volume and low mass which results from their low density. Considering the principle of a life cycle assessment, the possibility of recycling this type of waste should be ensured. The basic problem with the recycling process is the removal of the binder that connects the glass wool fibres before returning it to the production process. The paper presents the results of research on the process of heat treatment of glass wool with various temperatures and heating rates. The process of sinter formation and the possibilities of avoiding their formation were analysed. For this purpose, a series of tests in the field of thermal analysis were carried out, in which the temperature ranges in which heat was released were identified. Furthermore, a series of tests were carried out on cube samples with dimensions of 20 × 20 × 20 mm in a chamber furnace. Based on the research conducted, assumptions were developed for the heat treatment process of glass wool waste, which allows the removal of organic substances and prevents the formation of sinters.
Beneficent Intelligence: A Capability Approach to Modeling Benefit, Assistance, and Associated Moral Failures Through AI Systems
Authors: London Alex John , Heidari Hoda 
Published: September 2024

AbstractThe prevailing discourse around AI ethics lacks the language and formalism necessary to capture the diverse ethical concerns that emerge when AI systems interact with individuals. Drawing on Sen and Nussbaum’s capability approach, we present a framework formalizing a network of ethical concepts and entitlements necessary for AI systems to confer meaningful benefit or assistance to stakeholders. Such systems enhance stakeholders’ ability to advance their life plans and well-being while upholding their fundamental rights. We characterize two necessary conditions for morally permissible interactions between AI systems and those impacted by their functioning, and two sufficient conditions for realizing the ideal of meaningful benefit. We then contrast this ideal with several salient failure modes, namely, forms of social interactions that constitute unjustified paternalism, coercion, deception, exploitation and domination. The proliferation of incidents involving AI in high-stakes domains underscores the gravity of these issues and the imperative to take an ethics-led approach to AI systems from their inception.
Data-driven learning and control of nonlinear system dynamics
Authors: Becerra-Mora Yeyson A. , Acosta José Ángel 
Published: September 2024

AbstractThis work falls into the field of discovering the dynamic equations of stabilizable nonlinear systems, via a learning-and-control algorithm to process the data sets of trajectories previously obtained. To this end, an interlaced method to learn and control nonlinear system dynamics from a set of demonstrations is proposed, under a constrained optimization framework for the unsupervised learning process. The nonlinear system is modeled as a mixture of Gaussians and Sontag’s formula together with its associated Control Lyapunov Function is proposed for learning and control. Lyapunov stability and robustness in noisy data environments are guaranteed, as a result of the inclusion of control in the learning-optimization problem. The performances are validated through a well-known dataset of demonstrations with handwriting complex trajectories, succeeding in all of them and outperforming previous methods under bounded disturbances, possibly coming from inaccuracies, imperfect demonstrations, or noisy datasets. As a result, the proposed interlaced solution yields a good performance trade-off between reproductions and robustness. Therefore, this work sheds some more light on the automatic discovery of nonlinear dynamics from noisy raw data.
Machine learning-based climate risk sharing for an insured loan in the tourism industry
Authors: Carannante Maria , D’amato Valeria , Fersini Paola , Forte Salvatore 
Published: September 2024

AbstractHigher risks for commercial banks correspond to lower probability of access to financing transactions. Climate change risk strongly impacts bank loan supply. In particular, in the tourism industry, it is noteworthy that lenders charge higher interest rates for mortgages that face a greater risk of rising sea levels. As loans are one of the most important businesses for commercial banks, innovative strategies can lead to the design of a composite bank loan supply for building resilience, especially against physical climate risk. In this work, we propose a new tool, which is an insured loan relying on a climate change risk-sharing mechanism, where we develop a bioclimatic composite indicator based on machine learning naïve technique.
Physical and Chemical Evolution of PTFE-α-Al2O3 Composites Versus 304 SS Tribofilms During Dry Sliding
Authors: Haque Faysal M. , Junk Christopher P. , Sidebottom Mark A. 
Published: September 2024

AbstractPolytetrafluoroethylene (PTFE) is renowned for its remarkably low friction coefficient (µ ~ 0.1) yet exhibits notably high wear rates (K ~ 104) in dry sliding applications. To mitigate this, various metallic and non-metallic fillers have been explored, consistently demonstrating a reduction in wear rates of unfilled PTFE between 10 and 104 times. Among these fillers, α-Al2O3 is one of the most extensively studied materials. 5 wt% of α-Al2O3 filler into PTFE yields a composite material, PTFE- α-Al2O3, characterized by a wear rate a staggering 104 times lower than unfilled PTFE. This reduction in wear has been attributed to the formation of tribofilms on the PTFE composite and metal counterbody material. These tribofilms emerge due to the interaction between broken fluropolymer chains and environmental water and oxygen. This interaction results in the creation of carboxylate salt groups, which subsequently react with metal/metal oxide particles (both from the counterbody and the metal filler) to form tribofilms. Despite numerous studies scrutinizing the chemical composition of the tribofilms pre- and post-test, the chemical development of these films has remained largely unexplored. In this study, the authors utilize attenuated total reflection infrared spectroscopy (ATR-IR), transmission infrared (IR) spectroscopy, optical microscopy, and stylus profilometry to observe tribofilm development. A thorough topographical and chemical description of the tribofilm is provided via these techniques. The ratio of carboxylate salt groups directly corresponds with improved wear performance and these changes are very local to the worn polymer surface. This discovery contributes to a deeper understanding of the tribological behavior of PTFE-α-Al2O3 composites.
Graphical Abstract
Exploring the intersection of disasters and science education with preservice science teachers through a disaster case study
Authors: Park Wonyong , Lim Insook , Song Jinwoong 
Published: September 2024

AbstractModern society is under increasing threats of natural and technological disasters, which involve complex interactions among science, technology and social structures. Although a scientific understanding of disasters is an immediate global issue, there is limited discussion about how disasters can relate to science education. To address this gap, we report findings from a research study to support preservice science teachers’ learning about disasters and its relevance to science education. Fifteen preservice science teachers participated in a six-hour workshop focused on the scientific and sociotechnical aspects of the humidifier disinfectant disaster, which caused severe lung injuries to half a million people in South Korea. The study aim was to identify preservice science teachers’ perceptions about how disasters can be incorporated into science teaching. The participants were engaged in a series of group activities using the official investigation report, followed by a discussion on the aspects of science, technology, and society that unfolded in the disaster. Our analysis suggested that the participants were able to discover important aspects of the mutual relationship between science and disasters, and propose various cognitive, attitudinal, and functional aims that could be pursued by embedding disasters in science lessons. The lesson plans showed that the participants were able to suggest how to use disasters in science lessons and leverage diverse teaching methods to achieve their lesson goals. However, the shift in their perceptions before and after the workshop was limited. We argue that support is necessary for preservice science teachers to incorporate disasters into the science classroom, by providing more time and resources and lowering the barriers related to the political and traumatic aspects of disasters.
Optimal combination of microcoils, flow control, and n-butyl cyanoacrylate–Lipiodol–iopamidol (2:3:1) for feasible embolization of medium-sized arteries in an in vitro vascular model
Authors: Suzuki Takeshi , Matsuda Jun , Tsukahara Yoshinori , Ohya Ayumi , Yamada Akira , Kurozumi Masahiro , Fujinaga Yasunari 
Published: September 2024

Abstract

Purpose
To evaluate the behavior of n-butyl cyanoacrylate–Lipiodol–iopamidol at a ratio of 2:3:1 (NLI231) with and without microcoils and/or flow control in embolization of medium-sized arteries in an in vitro vascular model.

Materials and methods
A vessel model representing a common hepatic artery was prepared. Six scenarios were set for embolization, each ran three times: 1) NLI231 injected alone with flow control to 0 ml/min during and up to 5 min after embolization; 2) NLI231 injected into a mesh of microcoil of 5% density with the flow control; 3) NLI231 injected into a microcoil of 10% density with the flow control; 4) NLI231 injected alone without the flow control; 5) NLI231 injected into microcoil of 5% density without the flow control; 6) NLI231 injected into a microcoil of 10% density without the flow control. The microcoils were delivered to the embolization site, and NLI231 was injected. After 1 h of observation, distal filters were collected, and grades of migration (I = none, II = partial, III = almost all–all) were assessed for each scenario.

Results
Embolization was achieved in scenarios with NLI231 and microcoils regardless of flow control (p < 0.01). NLI231 did not migrate in scenarios with microcoils and flow control (p < 0.05). NLI231 with microcoils without flow control can embolize the vessel, but partial migration occurred, and the distal distance of the NLI231 complex from the embolization site was longer (p < 0.01).

Conclusion
Combining sparse coiling with NLI231 may be feasible but is limited to use when flow control is available, or where distal embolization is permissible to some extent.
Acting on totalities of infinite processes: constructing facets of an object conception
Authors: Villabona Diana , Oktaç Asuman , Roa-Fuentes Solange 
Published: September 2024

AbstractWe offer a new angle to explain the comprehension of mathematical infinity. We use Action—Process—Object—Schema (APOS) theory to explore the construction of different aspects of the cognitive Object related to this notion. We focus our attention on different ways of interacting with infinity, and how to act on infinite entities. Our aim is to shed light on the nature of mental constructions that take place when individuals deal with mathematical infinity. An infinite union of finite subsets of $${\mathbb{N}}$$
N
provides the context for our theoretical analysis and the design of interviews conducted with graduate students and instructors. In this study we identify three types of Actions with different complexity levels. When these Actions are performed, they lead to the construction of different facets of the associated Object. We question the construction of an Object conception in infinity-related situations and offer an explanation that might change the way we think about the learning of certain mathematical concepts. We discuss the implications of our research for the advancement of APOS theory. We also offer pedagogical suggestions related to the comprehension of mathematical infinity.