bluuebunny/crossref_metadata_2025_split huggingface dataset:
Composite Material from Waste ABS 3D Filaments and Graphite: A Cost‐Effective and Sustainable Alternative for Electrochemical Sensor Manufacturing and Voltammetric Analysis of Acebutolol
Authors: Santos Oliveira Raylla , Burger Veríssimo de Oliveira Wallace , Cunha de Souza Cassiano , Mendes Fernandes Bruno Luiz , Costa Matos Maria Auxiliadora , Pedrosa Lisboa Thalles , Camargo Matos Renato 
Published: October 2024

AbstractAdditive manufacturing technology is renowned for its ability to produce components on demand. Presently, the development of sustainable materials has been promoted by Green Chemistry, leading to an increase in the recycling of polymers and other materials for use in 3D printing. In this work, we proposed the construction of a 3D printed electrochemical device using a conductive paste made from 3D printing residues of acrylonitrile butadiene styrene (ABS) filaments and graphite to develop a sustainable sensor for acebutolol detection using square wave voltammetry method. The electrode was characterized using imaging and electrochemical techniques, demonstrating superior electrochemical performance compared to a commercial device. The method exhibited excellent analytical performance with a linear working range from 0.98 to 51.8 μmol L−1 and good detectability (detection limit) of 0.28 μmol L−1. Furthermore, the recycled sensor demonstrated good precision with a relative standard deviation of less than 8.4 % and good accuracy with recovery percentages ranging from 93 to 107 % for monitoring acebutolol in urine and tap water samples. Additionally, the device was free from interference from the matrix and other commonly used drugs, making it suitable for electroanalytical applications and extremely promising.
Sustainable Synthesis of Novel Calcium Magnesium Nanoferrites for Biomolecules Sensing and its Antimicrobial Properties
Authors: Tejashwini D. M , Nagaswarupa H. P , Naik Ramachandra , Basavaraju N. , Alodhayb Abdullah N. , Pandiaraj Saravanan , Goud Burragoni Sravanthi , Kim Jae Hong 
Published: October 2024

AbstractSustainable synthesis of novel Calcium magnesium ferrite nanomaterial was carried out in this work using aloe vera plant extract as a fuel for the combustion method. Structural characterizations of the synthesized material shows the crystallite size∼ 14 nm with cubic structure and chemical bonds between Ca−O and Fe−O. Porous nature and agglomerated particles were observed in morphological analysis. Modified carbon paste, glassy carbon and screen printed electrodes were prepared using the synthesized nanomaterial for biomolecules sensing using cyclic voltammetry technique. Therefore, the present green synthesized CMF nanoparticles modified carbon paste electrode shows significantly high sensitivity and hence it can be used as a sensor for biomedical application. Employing the agar disc diffusion technique, the antimicrobial activity of the synthesized nanoparticles was ascertained. C against the pathogens like Pseudomonas spp., E coli, and Staphylococcus spp.
An Effective Method for the Synthesis of New Bis(indole)methane Analogs Using Rosmarinic Acid‐Supported Magnetic Nanoparticles (Nano‐Fe3O4@RA)
Authors: Alizadeh Mohammadreza , Mokhtary Masoud , Nikpasand Mohammad , Asadpour Leila 
Published: October 2024

AbstractThis research presents an effective method for synthesizing new derivatives of bis(indole)methane using rosmarinic acid supported magnetic nanoparticles (nano‐Fe3O4@RA) as a catalyst. The reaction offers numerous advantages, such as high yield, catalyst reusability, short reaction time, product purification without column chromatography, and a simple procedure. These factors make it an attractive and efficient option in the field of bis(indole)methane construction.
Advancements in Desilylation Reactions for the Synthesis of Valuable Organic Molecules
Authors: Liu Chuang , Zhang Le , You Qingqing , Feng Huangdi , Huang Junhai 
Published: October 2024

AbstractSilicon, due to its abundance, non‐toxicity, and cost‐effectiveness, is a critical element in the earth's crust with significant industrial applications. In organic chemistry, main group elements, and in particular silicon, are extensively utilized as versatile synthetic intermediates. Despite the current challenges associated with harsh reaction conditions and unsustainable practices in synthesizing crucial organic structural molecules, desilylation reactions have emerged as a facilitative method, offering milder conditions and operational simplicity. This review provides a comprehensive analysis of recent advancements in the synthesis of valuable organic molecules through two distinct desilylation reactions. It systematically presents the synthesis of a variety of derivatives, such as furan, alcohol, N‐heterocyclic, and ketone, highlighting the broad substrate tolerance of these reactions. This broad functional group compatibility suggests a promising future for the synthesis of a wide range of bioactive molecules, underscoring the significant potential of desilylation in contemporary organic synthesis.
Recent Progress on NHC‐Catalyzed 1,6‐Conjugate Addition Reactions
Authors: Sun Jun , Jiang Shichun , Liu Yonggui , Pan Ling , Liu Ying‐Guo , Zeng Bing 
Published: October 2024

AbstractAs a significant variant of the Michael reaction, the 1,6‐addition reaction has undergone considerable development over the past decade. This effective strategy enables the synthesis of a variety of novel and potentially bioactive functional molecules. In this review, we summarize the recent progress in NHC‐catalyzed 1,6‐addition reactions, highlighting their efficiency in the rapid synthesis of complex functional molecules. We also provide our perspectives on the future development of this dynamic and highly active research area.
Courage against Domination in Republican Democracy
Authors: Rebolj Dušan 
Published: October 2024

AbstractThe chapter rejects three potential misgivings about awarding courage a place in contemporary democratic theory. Prompted by republicanism’s historical emphasis on civic courage, it examines the potential objections to having courage play a role in the standard neorepublican account of democracy as the embodiment or safeguard of non-domination. First, it enquires how the situationist challenge to traditional virtue ethics limits the general concept of courage. It finds that courage can, at most, be conceived as a local virtue, guaranteeing that its possessors act desirably in a limited range of situations; and that, at least, courage is a property ascribable to some people’s occasional acts. Then, the chapter tests the potential objection that, so conceived, courage cannot help entrench non-domination. In response, it shows that courage can be inserted into the neorepublican democratic schema: either in the form of occasional acts that secure the preconditions of virtue practice and norm compliance; as a local virtue supporting democratic norms through collective action; or as a socially facilitated mode of being that supports the norms of trust and tolerance. Lastly, it addresses the worry that courage might be at odds with an other-regarding value like non-domination, due to its tendency to eclipse other desirable qualities. It replies that even if the worry was not weakened by the situationist critique of virtues as personality traits, a concern with non-domination would commit courageous actors to a measure of regard for others. Furthermore, such actors would not be prone to needless risk-taking or cruelty.
Radiation Environment and Their Effects on Electronics
Authors: Aguiar Ygor Quadros de , Wrobel Frédéric , Autran Jean-Luc , García Alía Rubén 
Published: October 2024

AbstractReliability evaluation of circuits operating in harsh environments is essential to prevent functional failures and potential catastrophic events. To achieve this, it is important to have a solid understanding of different radiation environments and their effects on matter. This chapter aims to provide the necessary foundations to comprehend the dynamics of radiation environments, including space and Earth’s atmosphere, as well as particle accelerators. Additionally, the chapter explores the prominent effects resulting from the interaction of energetic particles with matter. This knowledge is crucial for developing strategies to mitigate the impact of radiation on circuit reliability and ensure the proper functioning of electronic systems in challenging environments.
Radiation Hardening
Authors: Aguiar Ygor Quadros de , Wrobel Frédéric , Autran Jean-Luc , García Alía Rubén 
Published: October 2024

AbstractTo cope with the threats of a harsh environment containing energetic particles, scientists and engineers have been developing mitigation strategies and hardening techniques to improve the resilience of electronic systems. Considering that the radiation environment and the operation conditions are known, as it will be shown in this chapter, several techniques can be applied to increase the robustness of a circuit. The radiation hardening techniques can be adopted during the manufacturing process of a technology or, in a higher level, in the circuit design phase of the component. While process-based techniques offer undeniable efficiency, hardening techniques at the design level are the main focus of this chapter thanks to their several advantages.
Examining Bald Eagle Contaminant Exposure and Reproductive Risk Above and Below Dams on Great Lakes Tributaries
Authors: Eakin Carly Jasmine , Williams Lisa , Moore Jeremy , Annis Mandy , Best David , Warner Sarah , Bowerman William , Fuentes Latice , Simon Kendall , Armstrong Brandon 
Published: October 2024

AbstractRemoving lowermost dams can reestablish fish passage on Great Lakes tributaries. This can increase the transfer of contaminants from anadromous fish to piscivorous wildlife upstream; however, concentrations of bioaccumulative contaminants in Great Lakes fish have decreased over the last several decades. We analyzed concentrations of PCBs and the toxic equivalence (TEQs) calculated from PCBs, DDTs, other organochlorine pesticides, and PBDEs in the plasma of bald eagle nestlings above and below lowermost dams on five river systems in Michigan from 1999 to 2013. We examined relationships between contaminants and metrics of reproductive success from 1997 to 2018, including the effects of year and location relative to the lowermost dam. Σ20PCB and p,p’-DDE were important in characterizing differences in contaminant mixtures above and below dams. Concentrations of contaminants were generally greater below dams than above. There were generally greater nest success and more nestlings per nest below dams, but nest location explained little variability (R2 values = 0.03–0.15). Neither Σ20PCB nor p,p’-DDE was a significant predictor of 5-year productivity means by river reach despite concentrations exceeding previously established effects thresholds for healthy bald eagle populations in the Great Lakes (≥ 1 nestling/nest). Our study indicates that dams may continue to reduce the upstream movement of contaminants to bald eagles, but at the measured concentrations, contaminants did not impair productivity and reproductive success as indicated by nestlings per nest. Additional information about population dynamics could clarify population-level effects of contaminants on bald eagles and to what degree these populations are self-sustaining throughout the Great Lakes.
Two-mode subharmonic generating system with coherent and thermal light
Authors: Tirfie Zegbreal Lemma , Hirpo Deribe 
Published: October 2024

AbstractThe statistical and squeezing characteristics of the light generated by a two-mode subharmonic generating system in a cavity pumped by two-mode coherent light and coupled to a two-mode thermal reservoir through a single-port mirror have been studied in this study. We construct the c-number Langevin equations linked to the normal ordering using the master equation for the system under discussion, and we establish the correlation characteristics of the noise forces. The mean and variance of the photon number of the cavity light are then determined using the solutions of the resulting differential equations. We have discovered that the cavity light mode’s photon statistics are super-Poissonian because the variance of the photon number is more significant than the mean of the photon number. Additionally, using the same solutions, we were able to extract the antinormally ordered characteristic function, which is used to calculate the Q function. In addition, the photon number distribution for the cavity mode is computed using the Q function. The variance of the plus and minus quadrature of the two-mode cavity light generated by the two-mode subharmonic generating system is also obtained. It is discovered that the cavity mode’s squeezing characteristics are unaffected by the two-mode driving coherent light, however, the thermal light has the effect of decreasing the squeezing of the cavity light and the squeezing takes place in the plus quadrature. Finally, we discovered that when the cavity is coupled to a vacuum reservoir, there is a 50$$\%$$
%
maximum squeezing of the two-mode cavity at a steady state and at the threshold. The nondegenerate subharmonic generator generates a two-mode cavity light that is 50$$\%$$
%
entangled.
Extracorporeal cytokine adsorption as therapeutic option for immune effector cell-associated neurotoxicity syndrome
Authors: Buhlmann Alix , Rom Emanuel , Schweiger Giovanna , Schneidawind Dominik , David Sascha 
Published: October 2024

AbstractWith the rising number of patients receiving chimeric antigen receptor T-cells, the treatment of this therapy’s complications is of growing concern to intensivists and neurologists. We used extracorporeal cytokine adsorption as an add-on therapy in a patient suffering from immune effector cell-associated neurotoxicity syndrome. Interleukin-6 level, which as a readily available parameter is generally used to evaluate course of disease, was rapidly reduced using this method. The patient made a full recovery and is still in hematological remission.
An efficient propositional system for Abductive Logic Programming
Authors: Gavanelli Marco , Julián-Iranzo Pascual , Sáenz-Pérez Fernando 
Published: October 2024

AbstractAbductive logic programming (ALP) extends logic programming with hypothetical reasoning by means of abducibles, an extension able to handle interesting problems, such as diagnosis, planning, and verification with formal methods. Implementations of this extension have been using Prolog meta-interpreters and Prolog programs with Constraint Handling Rules (). While the latter adds a clean and efficient interface to the host system, it still suffers in performance for large programs. Here, the concern is to obtain a more performant implementation of the system following a compiled approach. This paper, as a first step in this long term goal, sets out a propositional ALP system following , eliminating the need for and achieving better performance.
The atmospheric boundary layer: a review of current challenges and a new generation of machine learning techniques
Authors: Canché-Cab Linda , San-Pedro Liliana , Ali Bassam , Rivero Michel , Escalante Mauricio 
Published: October 2024

AbstractAtmospheric boundary layer (ABL) structure and dynamics are important aspects to consider in human health. The ABL is characterized by a high degree of spatial and temporal variability that hinders their understanding. This paper aims to provide a comprehensive overview of machine learning (ML) methodologies, encompassing deep learning and ensemble approaches, within the scope of ABL research. The goal is to highlight the challenges and opportunities of using ML in turbulence modeling and parameterization in areas such as atmospheric pollution, meteorology, and renewable energy. The review emphasizes the validation of results to ensure their reliability and applicability. ML has proven to be a valuable tool for understanding and predicting how ABL spatial and seasonal variability affects pollutant dispersion and public health. In addition, it has been demonstrated that ML can be used to estimate several variables and parameters, such as ABL height, making it a promising approach to enhance air quality management and urban planning.
A major falling number locus on chromosome 4B governs resistance to pre-harvest sprouting in bread wheat line Soru#1
Authors: Vahramians Khosravizad Beyayna , Ruud Anja Karine , Belova Tatiana , Windju Susanne S. , Dieseth Jon Arne , Yang Ennian , Lillemo Morten 
Published: October 2024

AbstractPre-harvest sprouting (PHS) is a serious threat to wheat quality and occurs when maturing seeds on plants encounter substantial rain before harvest. In the present study, the genetics of PHS resistance were studied using a population of 131 recombinant inbred lines (RILs) from a cross between Soru#1 and Naxos. The population was genotyped with the Illumina 90 K and Axiom 35 K wheat SNP arrays and tested in field trials across two locations in Norway and one in China. Seed dormancy as a measure of sprouting damage was evaluated using germination index (GI) and falling number (FN). Days to heading, days to maturity, and plant height were also recorded to evaluate their potential impact on PHS. Thirteen PHS-related quantitative trait loci (QTL) were detected. The most consistent QTL for FN, contributed by Soru#1, on the long arm of chromosome 4B explained 10.0–19.2% of the phenotypic variation across trials. Other important PHS resistance QTL from Soru#1 detected on chromosome arms 2AL, 2BL, and 4BS, affected both GI and FN. Naxos carried favorable QTL alleles for PHS resistance on chromosome arm 4AS and the Phs1 allele on 4AL. The reduced height Rht-D1 and vernalization Vrn-A1 alleles were the major determinants of plant height and earliness; however, these traits had minimal impact on the genetic control of PHS resistance in this population. Thus, both parents contributed valuable alleles for improving PHS resistance in breeding programs.
The Time of the Stones: A Call for Palimpsest Dissection to Explore Lithic Record Formation Processes
Authors: Sossa-Ríos Santiago , Mayor Alejandro , Sánchez-Romero Laura , Mallol Carolina , Vaquero Manuel , Hernández Cristo M. 
Published: October 2024

AbstractThe dissection of archaeological palimpsests has become a crucial process for achieving a diachronic understanding of the history of human groups. However, its widespread application to archaeological deposits has been hampered by both methodological and theoretical limitations, as well as by the inherent characteristics of the deposits. This paper explores whether overcoming these barriers, both methodological and theoretical, truly represents a significant shift in understanding past human behaviour, thereby motivating the pursuit of shorter timescales. To this end, we have analysed the lithic assemblages of Unit Xb from the Neanderthal site of El Salt (Alcoi, Iberian Peninsula) focusing on lithic attributes and raw material analyses, enabling the definition of raw material units and refitting sets. Considering these variables, we have applied archaeostratigraphic and spatial analyses in order to generate units of analysis whose content is compared to that of the entire unit. The defined archaeostratigraphic units display different spatial distributions and lithic composition. Some of them are attached to certain hearths and composed of refitted sets, while other units are related to areas without combustion evidence and integrated with bigger and heavier single products. Through this approach, here, we show that reducing the spatiotemporal scale of the record helps to unravel behavioural variability, reducing interpretative errors implicit in the assemblage-as-a-whole approach. This highlights the role of temporal resolution in reconstructing site formation processes and challenges research perspectives that assert the unnecessary or impossible nature of palimpsest dissection.
A Precision Teaching Framework for Training Autistic Students to Respond to Bids for Joint Attention
Authors: Vostanis Athanasios , Ritchie Rianna , Langdon Peter E. 
Published: October 2024

AbstractPrecision teaching has historically been primarily applied to academic skills. This study aimed to show how precision teaching could enhance the application of existing evidence-based interventions focused on crucial pre-academic skills, such as joint attention. Joint attention is typically broken into two categories: responding to bids for joint attention (RJA) and initiating joint attention (IJA). This study developed RJA using precision teaching and play-based, natural environment teaching. Four autistic students, aged between 5 and 6, attending a special education school in England participated. Six prerequisite skills were trained in two triads during 15-min sessions for three weeks. RJA was then targeted, and participants needed three, four, five, and seven days, respectively, to master it. A concurrent multiple baseline design across participants was used for all skills. Participants improved across all skills with moderate effect sizes that were maintained five weeks post-intervention. Moreover, participants demonstrated steep learning rates measured via celeration, low variability measured via the bounce metric, and a maintenance of performance improvements during the assessment of endurance, stability, and generalization. The results suggest that autistic students can quickly improve their RJA skills and demonstrate fluency in them. However, the results are tentative and require replication while addressing the limitations that have been identified. Integrating precision teaching and naturalistic approaches could offer practitioners additional information about the impact of existing evidence-based interventions on developing RJA and related skills.
MicroRNA signatures in osteosarcoma: diagnostic insights and therapeutic prospects
Authors: Dey Mritunjoy , Skipar Palina , Bartnik Ewa , Piątkowski Jakub , Sulejczak Dorota , Czarnecka Anna M. 
Published: October 2024

AbstractOsteosarcoma (OSa) is the most prevalent primary malignant bone tumor in children and adolescents, characterized by complex genetic and epigenetic alterations. Traditional treatments face significant challenges due to high rates of drug resistance and lack of targeted therapies. Recent advances in microRNA (miRNA) research have opened new avenues for understanding and treating osteosarcoma. This review explores the many critical functions of miRNAs in osteosarcoma, particularly their potential for clinical use. The review highlights two key areas where miRNAs could be beneficial. Firstly, miRNAs can act as biomarkers for diagnosing osteosarcoma and predicting patient prognosis. Secondly, specific miRNAs can regulate cellular processes like proliferation, cell death, migration, and even resistance to chemotherapy drugs in osteosarcoma. This ability to target multiple pathways within cancer cells makes miRNA-based therapies highly promising. Additionally, though the interaction between miRNAs and circular RNAs (circRNAs) falls outside the scope of the paper, it has also been discussed briefly. While miRNA-based therapies offer exciting possibilities for targeting multiple pathways in osteosarcoma, challenges remain. Efficient delivery, potential off-target effects, tumor complexity, and rigorous testing are hurdles to overcome before these therapies can reach patients. Despite these challenges, continued research and collaboration among scientists, clinicians, and regulatory bodies hold the promise of overcoming them. This collaborative effort can pave the way for the development of safe and effective miRNA-based treatments for osteosarcoma.