bluuebunny/crossref_metadata_2025_split huggingface dataset:
Calycosin inhibits the proliferation and metastasis of renal cell carcinoma through the MAZ/HAS2 signaling pathway
Authors: Zhang Zi‐Hao , Yuan Cheng‐Yue , Xu Meng , Wang Meng‐Fei , Feng Tao , Wang Yue , Zheng Sheng‐Feng , Zhang Hai‐Liang , Shi Guo‐Hai , Cao Da‐Long , Wang Zi‐Liang , Ye Ding‐Wei 
Published: August 2024

AbstractCalycosin (Caly), a flavonoid compound, demonstrates a variety of beneficial properties. However, the specific mechanisms behind Caly's anticancer effects remain largely unexplored. Network pharmacology was used to explore the potential targets of Caly in renal cancer. Additionally, RNA‐seq sequencing was used to detect changes in genes in renal cancer cells after Caly treatment. Validation was carried out through quantitative reverse transcription‐PCR and Western blot analysis. The luciferase reporter assay was applied to pinpoint the interaction site between MAZ and HAS2. Furthermore, the immunoprecipitation assay was utilized to examine the ubiquitination and degradation of MAZ. In vivo experiments using cell line‐derived xenograft mouse models were performed to assess Calycosin's impact on cancer growth. Network pharmacology research suggests Caly plays a role in promoting apoptosis and inhibiting cell adhesion in renal cancer. In vitro, Caly has been observed to suppress proliferation, colony formation, and metastasis of renal cancer cells while also triggering apoptosis. Additionally, it appears to diminish hyaluronic acid synthesis by downregulating HAS2 expression. MAZ is identified as a transcriptional regulator of HAS2 expression. Calycosin further facilitates the degradation of MAZ via the ubiquitin‐proteasome pathway. Notably, Caly demonstrates efficacy in reducing the growth of renal cell carcinoma xenograft tumors in vivo. Our findings indicate that Caly suppresses the proliferation, metastasis, and progression of renal cell carcinoma through its action on the MAZ/HAS2 signaling pathway. Thus, Caly represents a promising therapeutic candidate for the treatment of renal cell carcinoma.
Unveiling the Structure and Dynamics of Ac3+ Ion in Aqueous Solution: Insight From Relativistic Hybrid Forces Molecular Mechanics Molecular Dynamics Simulations
Authors: Abimanyu Muhammad Aditya , Prasetyo Niko , Pradipta Mokhammad Fajar 
Published: August 2024

ABSTRACTThis work describes a molecular dynamics simulation study (MP2‐DKH2/MM) that explores the structural and dynamical properties of hydrated Ac3+ ions in an aqueous solution. Simulation results indicate that the ion formed three hydration shells. The hydrated Ac3+ had a first hydration shell comprising 8–9 water molecules. It showed similar probabilities for both coordination numbers, showing a flexible first hydration shell with eight registered successful ligand exchanges during the simulation. The water molecules' mean residence times (MRT) in the first, second, and third hydration shells were 131.8, 6.46, and 2.67 ps, respectively. The complexes of octahydrate ([Ac(H₂O)₈]3+) and nonahydrate ([Ac(H₂O)₉]3+) were observed in the first hydration shell. The square antiprism (SA) geometry was adopted for octahydrate, while the gyroelongated square antiprism (GySA) geometry was adopted for nonahydrate. The simulations provided valuable insights into the ion‐oxygen stretching frequencies. Specifically, the average stretching frequency for Ac3+ was found to be 404 cm−1, which is in good agreement with the calculated value from the CCSD(T) calculation of 398.78 cm−1. These findings indicate that including DKH2 relativistic approximation increases the accuracy of the simulation results and can contribute to understanding these actinide ions' behavior in aqueous environments, shedding light on hydrated systems' structural arrangements and dynamics.
Taking Responsibility for Meaning and Mattering: An Agential Realist Approach to Generative AI and Literacy
Authors: Kumar Priya C. , Cotter Kelley , Cabrera Laura Y. 
Published: August 2024

AbstractQuestions and concerns about artificial intelligence (AI) technologies in education reached a fever pitch with the arrival of publicly accessible, user‐facing generative AI systems, especially ChatGPT. Many of these issues will require regulation and collective action to address. But when it comes to generative AI and literacy, we argue that posthuman perspectives can help literacy scholars and practitioners reframe some concerns into questions that open new areas of inquiry. Agential realism in particular offers a useful perspective for exploring how generative AI matters in literacy practices, not as a unilaterally destructive force, but as a set of phenomena that intra‐actively reconfigures literacy practices. As a sociocultural (and as we argue, sociotechnical) practice, literacy arises out of the entanglement of bodies, spaces, contexts, positions, histories, and technologies. Generative AI is another in a long line of technologies that reconfigures literacy practices. In this article, we briefly explain how generative AI systems work, focusing on text‐based systems called Large Language Models (LLMs), and suggest ways that generative AI may reconfigure the sociocultural practice of literacy. We then offer three provocations to shift discussions about generative AI and literacy (1) from concerns about intentionality to questions of responsibility, (2) from concerns about authenticity to questions of mattering, and (3) from concerns about imitation to questions of multifarious communication. We conclude by encouraging literacy scholars and practitioners to draw inspiration from critical literacy efforts to discover what matters when it comes to generative AI and literacy.
Design and Synthesis of Imidazole‐Modified Reduced Gaphene Oxide Possessing More Ligands for Removal of Methylene Blue and Chromium
Authors: Wang Chubei , Zhou Jianwei , Chen Keke , Xu Chao , Wang Zhaoyuan , Zhang Yongkang 
Published: August 2024

AbstractA new imidazole‐modified reduced graphene oxide was synthesized through a substitution reaction between amino imidazole and chlorographene. Functional groups and material composition were characterized by using several methods. The N content of product is high, it possesses more ligands. These ligands still combine metal ions under acidic conditions. Adsorption for methylene blue can be fitted by quasi‐second‐order kinetics and Langmuir isotherm model, physical adsorption is the predominant adsorption mechanism. Adsorption capacity (350.7 mg/g) of product for Cr (III) is about fourfold higher than that (74.7 mg/g) of reduced graphene oxide.
Conversion of WastePaper into Dissolving Pulp: A Path for Circular Bioeconomy
Authors: Damaceno Thalita P. , Cunha André E. P. , Simões Rogério M. S. , Vaz Álvaro F. C. 
Published: August 2024

AbstractFollowing the circular bioeconomy concept, this work studies the potential of an industrial wastepaper residue as an alternative raw material for dissolving pulp‐grade production. Prehydrolysis‐kraft cooking (PHK), elemental chlorine‐free (ECF) bleaching, and acid‐washing treatments were applied to achieve that aim. Considering the high lignin and hemicellulose content of the raw material, it was submitted to PHK pulping to enhance its cellulose content by removing those components. This processing resulted in a remarkable increase of 84 % in pulp Fock reactivity (from 45.6 % to 84.1 %). The dissolution extension and time in solvent systems LiCl/DMAc and NMMO/H2O were discussed regarding the pulp physicochemical properties. The dissolving pulp produced under this work showed great potential as raw material for textile applications, particularly highlighting the innovative process developed to improve its solubility.
Photoreforming of Microplastics: Challenges and Opportunities for Sustainable Environmental Remediation
Authors: Zhang Xiandi , Jun Minki , Zu Wenhan , Kim Minah , Lee Kwangyeol , Lee Lawrence Yoon Suk 
Published: August 2024

AbstractPlastics are widely used in daily lives, but unfortunately, their inadequate recycling practices have led to the accumulation of microplastics in the environment, posing a threat to public health. The existing methods for treating microplastics are energy‐intensive and environmentally damaging. In this context, photoreforming has emerged as a sustainable solution to address the microplastic crisis by simultaneously recycling them into value‐added chemicals. This review presents a comprehensive overview of the application of photoreforming for upcycling microplastic. The underlying mechanisms of photoreforming reaction are discussed, followed by the exploration of recent advancements and innovative strategies in photoreforming techniques with particular emphasis on their real‐world applications and potential for large‐scale implementation. Also, critical factors influencing the efficiency of microplastic photoreforming are identified, providing guidance for further research and optimization.
Effects of adding different levels of fructooligosaccharide to diet on productive performance, egg quality traits, immune response and blood metabolites in commercial laying hens
Authors: Alsherify Salah Mahdi , Hassanabadi Ahmad 
Published: August 2024

AbstractBackgroundA prebiotic is defined as an indigestible feed substance that beneficially affects the host by selectively stimulating the growth and/or activity of one or a limited number of bacteria in the large intestine, thereby improving host health and products.ObjectivesThis study was conducted to determine the effects of supplementing prebiotic fructooligosaccharide (FOS) to the diets of Hy‐Line W‐36 laying hens.MethodsA total of 168 Hy‐Line W‐36 laying hens were allocated to four dietary levels of FOS (0, 1.0, 2.0, 3.0 g/kg diet), 6 replicates of 7 birds each during 63–74. The experiment was performed using a completely randomized design.ResultsProductive performance was not significantly affected by the FOS supplementation. Body weight gain was linearly decreased with increasing FOS levels in the diet (p < 0.01). However, eggshell strength, shell thickness and Ca and p percentages were not significantly affected, as were anti‐sheep red blood cell titres, blood parameters and blood metabolites. In the first period of the experiment (63–65 weeks), shape index and Haugh unit at the dose of 3.0 g/kg FOS were significantly increased and decreased in comparison with control, respectively (p < 0.05). In the third and fourth periods (69–71 and 72–74 weeks of age), the FOS had no significant effect on the internal egg quality traits. Furthermore, FOS had a linear decrease in the most saturated fatty acids (SFAs), including myristic, palmitic, margaric and stearic fatty acids; some of the mono‐un‐SFA (MUFA; palmitoleic and ginkgolic acids), and poly‐unsaturated fatty acids (γ‐linolenic and eicosatrienoic).ConclusionsSupplementing different levels of FOS to the diet of commercial laying hens had no significant effect on the layers’ performance, immune response and blood parameters, whereas there was a significant effect on some of the internal egg quality traits and egg yolk fatty acid contents.
A generalized Allen–Cahn model with mass source and its Cahn–Hilliard limit
Authors: Shi Wei , Yang Xin‐Guang , Cui Lubin , Miranville Alain 
Published: August 2024

AbstractThe present paper is concerned with a fourth‐order Allen–Cahn model with logarithmic potential and mass source that describes the process of phase separation in two‐component systems accompanied by a flux of material. The existence of a global weak solution is obtained under appropriate hypotheses on the source term. Furthermore, we study its Cahn–Hilliard limit as a small parameter goes to zero. The main difficulty in the mathematical analysis of the model lies in the presence of the source term that leads to the nonconservation of mass, contrary to the original Cahn–Hilliard theory.
No time to derive: unraveling total time derivatives in in-in perturbation theory
Authors: Braglia Matteo , Pinol Lucas 
Published: August 2024

Abstract
The in-in formalism provides a way to systematically organize the calculation of primordial correlation functions. Although its theoretical foundations are now firmly settled, the treatment of total time derivative interactions, incorrectly trivialized as “boundary terms”, has been the subject of intense discussions and conceptual mistakes. In this work, we demystify the use of total time derivatives — as well as terms proportional to the linear equations of motion — and show that they can lead to artificially large contributions cancelling at different orders of the in-in operator formalism. We discuss the treatment of total time derivative interactions in the Lagrangian path integral formulation of the in-in perturbation theory, and we showcase the importance of interaction terms proportional to linear equations of motion. We then provide a new route to the calculation of primordial correlation functions, which avoids the generation of total time derivatives, by working directly at the level of the full Hamiltonian in terms of phase-space variables. Instead of integrating by parts, we perform canonical transformations to simplify interactions. We explain how to retrieve correlation functions of the initial phase-space variables from the knowledge of the ones after canonical transformations. As an important first application, we find the explicit sizes of Hamiltonian cubic interactions in single-field inflation with canonical kinetic terms and for any background evolution, straight in terms of the primordial curvature perturbation and its canonical conjugate momentum, as well as the corresponding ones in the tensor sector, and the ones mixing scalars and tensors. We also briefly comment on quartic interactions. Our results are important for performing complete calculations of exchange diagrams in inflation, such as the (scalar and tensor) exchange trispectrum and the one-loop power spectrum. Being already written in a form amenable to characterize quantum properties of primordial fluctuations, they also promise to shed light on the non-linear dynamics of quantum states during inflation.
Spectral representation in Klein space: simplifying celestial leaf amplitudes
Authors: Duary Sarthak , Maji Sourav 
Published: August 2024

Abstract
In this paper, we explore the spectral representation in Klein space, which is the split (2, 2) signature flat spacetime. The Klein space can be foliated into Lorentzian AdS3/ℤ slices, and its identity resolution has continuous and discrete parts. We calculate the identity resolution and the Plancherel measure in these slices. Using the foliation of Klein space into the slices, the identity resolution, and the Plancherel measure in each slice, we compute the spectral representation of the massive bulk-to-bulk propagator in Klein space. It can be expressed as the sum of the product of two massive (or tachyonic) conformal primary wavefunctions, with both continuous and discrete parts, and sharing a common boundary coordinate. An interesting point in Klein space is that, since the identity resolution has discrete and continuous parts, a new type of conformal primary wavefunction naturally arises for the massive (or tachyonic) case. For the conformal primary wavefunctions, both the discrete and continuous parts involve integrating over the common boundary coordinate and the real (or imaginary) mass. The conformal dimension is summed in the discrete part, whereas it is integrated in the continuous part. The spectral representation in Klein space is a computational tool to derive conformal block expansions for celestial amplitudes in Klein space and its building blocks, called celestial leaf amplitudes, by integrating the particle interaction vertex over a single slice of foliation.
Acyclic Reorientation Lattices and Their Lattice Quotients
Authors: Pilaud Vincent 
Published: August 2024

AbstractWe prove that the acyclic reorientation poset of a directed acyclic graph D is a lattice if and only if the transitive reduction of any induced subgraph of D is a forest. We then show that the acyclic reorientation lattice is always congruence normal, semidistributive (thus congruence uniform) if and only if D is filled, and distributive if and only if D is a forest. When the acyclic reorientation lattice is semidistributive, we introduce the ropes of D that encode the join irreducible acyclic reorientations and exploit this combinatorial model in three directions. First, we describe the canonical join and meet representations of acyclic reorientations in terms of non-crossing rope diagrams. Second, we describe the congruences of the acyclic reorientation lattice in terms of lower ideals of a natural subrope order. Third, we use Minkowski sums of shard polytopes of ropes to construct a quotientope for any congruence of the acyclic reorientation lattice.
Bullöse Mycosis fungoides – ein klinischer Indikator für einen aggressiven Krankheitsverlauf
Authors: Gerdes Ana-Lee , Hyun Julia , Kreuter Alexander , Schaller Jörg , Hillen Uwe , Michalowitz Alena-Lioba , Müller Valentina 
Published: August 2024

ZusammenfassungDie Mycosis fungoides (MF) ist das häufigste kutane T‑Zell-Lymphom (CTCL). Die bullöse Form gilt als eine ihrer zahlreichen Varianten. In der Literatur sind nur wenige Fälle dieser seltenen Entität beschrieben. Wir berichten von einem männlichen Patienten mit fulminantem Verlauf einer bullösen MF, die aufgrund der infausten septischen Gesamtkonstellation innerhalb weniger Wochen zum Exitus letalis führte.
Primärmedizinische Versorgung in Deutschland am Scheideweg
Authors: Schröter Thomas 
Published: August 2024

ZusammenfassungÜber die bestehenden sozialgesetzlichen Optionen zur ärztlich verantworteten Primärversorgung gesetzlich Krankenversicherter hinaus gibt es mehrere Vorhaben zur Erweiterung der Angebotsstrukturen: Gesundheitskioske, Primärversorgungszentren und Community Health Nursing sowie hausärztliche Institutsambulanzen an Krankenhäusern. Diese neuen Projekte laufen auf eine Institutionalisierung bisher praxisgebundener Angebote und teilweise auf die Verlagerung bisher ärztlich verantworteter Heilkunde in die Eigenverantwortung nichtärztlicher Fachberufe hinaus – mit zusätzlichen finanziellen Aufwänden, aber ohne Schaffung neuer Versorgungskapazitäten. Die betrachteten Konstrukte erscheinen nicht geeignet, einen relevanten Beitrag zur Kompensation der Lücke bei Hausärzten und medizinischem Fachpersonal in einer demografisch bis etwa 2036 prognostizierten Kapazitätsschwundphase zu leisten. Die Weiterentwicklung des deutschen Sozialrechts zur Primärversorgung sollte stattdessen auf eine Effizienzsteigerung der knapper werdenden Ressourcen durch einen nach medizinischen Kriterien gesteuerten und gestuften Arztzugang fokussiert werden.
Plantarer Fersenschmerz
Authors: Hirschmüller Anja , Weidermann Frances 
Published: August 2024

ZusammenfassungDie Plantarfasziopathie ist ein häufiges Krankheitsbild, welches hauptsächlich bei Laufsportlern und übergewichtigen Menschen in stehenden und gehenden Berufen auftritt. Die Einschränkung der Lebensqualität ist zum Teil beträchtlich. Sonographisch kann die Verdickung der Faszieninsertion gut visualisiert werden. Differenzialdiagnostisch kommt vor allem die Irritation des Baxter-Nervs und das Tarsaltunnelsyndrom in Betracht. Die Basistherapie besteht in Patientenedukation und Dehnungsübungen für die Faszie, ggf. ergänzt durch Einlagenversorgung und Stoßwellentherapie. Sollte dies nicht zum gewünschten Effekt führen, können eine Nachtlagerungsschiene und Infiltrationen sinnvoll sein.
Entangled AI: artificial intelligence that serves the future
Authors: Köves Alexandra , Feher Katalin , Vicsek Lilla , Fischer Máté 
Published: August 2024

AbstractWhile debate is heating up regarding the development of AI and its perceived impacts on human society, policymaking is struggling to catch up with the demand to exercise some regulatory control over its rapid advancement. This paper aims to introduce the concept of entangled AI that emerged from participatory backcasting research with an AI expert panel. The concept of entanglement has been adapted from quantum physics to effectively capture the envisioned form of artificial intelligence in which a strong interconnectedness between AI, humans, society, and nature is reflected. Entanglement assumes that AI should serve nature, social well-being, justice, and the resilience of this intertwined network simultaneously and promote a dynamic balance among these factors. This approach allows us to understand the pervasive role of this technology and the scope of human agency in its development. The study shows how such concepts seem to transcend the dominant discourses related to expectations, technological determinism, and humanism. An additional aim of this paper is to demonstrate how backcasting can contribute to generating useful understandings of the future of AI and fruitful insights for policymaking.
M-ARM: An automated systematic approach for generating new variant design options from an existing product family
Authors: Wong Foo Shing , Wynn David C. 
Published: August 2024

AbstractCompanies with established product families can meet emerging market needs by extending their product families over time, that is, by introducing new product variants sequentially. Starting points for each new design can be generated by integrating design solutions from existing products in the same family. This article introduces an automated systematic approach to derive all possible ways of combining existing designs to produce a new variant with a desired new combination of functionality, based on algorithmic analysis of product models. The approach considers the functions in existing products and how they are realised in specific CAD parts and the geometric features defining them. By automatically generating and evaluating all the options, the new approach helps identify the most efficient way to combine existing parts and features from a product family to generate a new product variant with distinct functionality. The approach has been applied to product families of mechanical and mechatronic consumer products. It was evaluated by manually implementing the automatically-generated redesign instructions in CAD for several product variants, which built confidence in the approach’s accuracy and performance. From the evaluation, opportunities for further work are suggested.
Prediction-based multi-objective optimization method for 3D printing resource consumption
Authors: Yang Jimeng , Wang Feibo , Dun Yiheng , Huang Zhipeng , Zhang Andi , Liu Ying 
Published: August 2024

AbstractA prediction-based multi-objective optimization (PBMO) method is proposed in this paper to forecast and reduce 3D printing (3DP) resources on demand, including time, energy, and material. In the authors’ previous research work, a hybrid code-based and data-driven modeling (HCDM) scheme was proposed to customize the predictive models based on process parameters, material deposition paths, and machine behaviors. This study further utilizes the models as multi-objectives to be minimized, aiming at the appropriate solution of process parameters that consume the least resources. Non-dominated sorting genetic algorithm II (NSGA-II), one of the commonly used metaheuristic algorithms, is adopted to construct the PBMO framework, where the HCDM process is embedded in the fitness evaluation step. The corresponding computing program is compiled and then validated on two material extrusion (MEX) machines. Based on the optimization results, hypervolume, as a Lebesgue measure, is used to evaluate the superiorities of all near-optimal solutions, thereby recommending the best-performing solutions for real 3DP. Apart from the 3DP process, the proposed optimization method is adaptable to other mainstream computer numerical control (CNC) manufacturing processes and will guide process design to promote resource conservation for cleaner production.