bluuebunny/crossref_metadata_2025_split huggingface dataset:
Análisis de la acción interior desarrollada en la ópera de "Don Giovanni", a través de un acercamiento a la obertura, introducción del acto I, final y la muerte de Don Giovanni
Authors: Peñaherrera Wilches Jimena 
Published: January 2025

A través de una mirada dramático-musical, pretendemos construir un acercamiento teológico a la obra de Wolfgang Amadeus Mozart, a través del análisis musical, argumental y de la acción interior que se produce en la ópera denominada Don Giovanni. Esta primera mirada, se deberá considerar como una reflexión sobre la composición Mozartiana, sin pretender abarcar las múltiples opciones analíticas que se podrían hacer sobre ella, sino más bien es una construcción especulativa, utilizando los elementos (musicales, extra musicales, textuales, religiosos) que tenemos a disposición para su interpretación. Trataremos de llegar a estos elementos mediante el análisis y la conexión teológica, el drama musical y la acción interior de algunos fragmentos de la ópera, que estarán representado la muerte.
Modelo de cambio de actitudes: una propuesta pedagógica para la seguridad vial
Authors: Madrigal Castellanos Diana del Carmen 
Published: January 2025

Una de las aspiraciones de la Organización Mundial de la Salud (OMS) es la ambiciosa meta de reducir a la mitad —para el año 2030— el número de defunciones y lesiones causadas por accidentes de tránsito a nivel global. Según datos del “Informe sobre la situación mundial de la seguridad vial” de la OMS (2023)[1], cada año, aproximadamente 1,19 millones de personas pierden la vida en colisiones vehiculares, y entre 20 y 50 millones sufren lesiones no mortales, muchas de las cuales resultan en discapacidad. Los traumatismos causados por el tránsito son la principal causa de mortalidad entre niños y jóvenes de 5 a 29 años.
Frente a esta alarmante realidad, han surgido voces que se oponen a la normalización de las muertes y lesiones atribuibles a accidentes de tránsito, abogando por la educación del comportamiento humano como una clave fundamental para la reducción de la accidentalidad.

[1] Organización Mundial de la Salud. (2023). Informe sobre la situación mundial de la seguridad vial 2023. https://www.who.int/es/publications/i/item/9789240086517
RETRACTED: Are Generic Imatinib Formulations Really as Effective as Originial Imatinib in Chronic Myeloid Leukemia: Real Life Data
Authors: Kırcalı Ekin , Seval Güldane Cengiz , Bozdağ Sinem Civriz , Toprak Selami Koçak , Yüksel Meltem Kurt , Arslan Önder , Özcan Muhit , Demirer Taner , Gürman Günhan , İlhan Osman , Akan Hamdi , Beksaç Meral , Topçuoğlu Pervin 
Published: January 2025

Abstract

The authors have requested that this preprint be removed from Research Square.
SurFF: Universal Model for Surface Exposure and Synthesizability Across Intermetallic Crystals
Authors: Wang Xiaonan , Yin Jun , Chen Honghao , Qiu Jiangjie , Li Wentao , He Peng , Li Jiali , Karimi Iftekhar 
Published: January 2025

Abstract

Catalysts are crucial in industrial processes, significantly enhancing reaction efficiency. With approximately 90% of industrial reactions occurring on surfaces, the role of heterogeneous catalysts is paramount. Accurate surface exposure prediction is vital for heterogeneous catalyst design but is hindered by the high costs of experimental and computational methods. Here, we introduce a universal force field-based model for predicting surface exposure and synthesizability (SurFF) across intermetallic crystals, essential materials for heterogeneous catalysts. We created a comprehensive intermetallic surface database using a data-efficient active learning method and high-throughput density functional theory (DFT) calculations, encompassing 12,553 unique surfaces and 344,200 single points. SurFF achieves DFT-level precision with a prediction error of 3.0 meV/Å² and enables large-scale surface exposure prediction, an impractical task for DFT methods, through a 105-fold acceleration. Validation against computational and experimental data both shows strong alignment. We applied SurFF for large-scale predictions on over 6,000 intermetallic crystals, providing valuable data for the community. Demonstrating transferability to diverse crystal properties, SurFF is a robust tool for advancing catalyst design, representing a significant step toward large-scale catalyst discovery models.
The Aetiology of Ill Health Among Urban Slum Communities in Nigeria: A Systematic Review
Authors: OLATUNDE OLUWASAYO 
Published: January 2025

Abstract

Background: UN-Habitatand the World Bank data show that about 50% to 65% of Nigerians to live in slums. Thus, millions of urban residents live without access to basic amenities such as clean water, sanitation, and adequate housing. While existing studies have reported the impact of slum environment on specific diseases, there is a need to review the causes in a single study to provide a comprehensive understanding of current issues in this regard.
Methods: This study utilized the PRISMA protocol to carry out a systematic review. Research publications on the subject were sourced from 4 electronic databases (Africa-Wide Information, Cochrane Library, Global Health, and Pub Med). 172 relevant articles were retrieved and screened based on the inclusion criteria, and 22 articles published between January 2019 and September 2024 was included in the final review.
Result:The review found that ill health conditions were linked to high population density, poor sanitation and waste management, lack of basic amenities such as clean water, high rate of poverty, poor education, and drug abuse.
Conclusions: These findings reiterate the need for appropriate authorities to design and implement effective intervention strategies that will reduce ill health challenges of the slum dwellers in Nigeria.
Characteristics of Bibliometric Analyses of the Complementary, Alternative, and Integrative Medicine Literature: A Scoping Review
Authors: Liu Henry , Shah Aimun Qadeer , Tariq Hamas , Rebaine Rayhane , Ali Sarah , Yehshopa Tenzin Chimi , Karimi Nima , Lekuti Mujeedat , Parikh Tisha , Koo Mabel , Wieland L. Susan , Moher David , Cramer Holger , Ng Jeremy Y. 
Published: January 2025

Abstract

Introduction: Research on complementary, alternative, and integrative medicine (CAIM) continues to grow. Bibliometric analyses (BAs) are valuable to assess research trends, identify gaps, and understand the evolution of a body of literature, yet there are no systematic or scoping reviews on how these BAs are conducted. This scoping review aimed to systematically review and synthesize BAs on CAIM literature to inform and guide future bibliometric studies in this field and beyond.
Methods: A scoping review was conducted in accordance with Joanna Briggs Institute guidelines. A systematic search was conducted in MEDLINE, EMBASE, PsycINFO, AMED, CINAHL Scopus, and Web of Science in January 2023. Eligible articles were BAs of CAIM literature. Screening and data extraction were completed independently and in duplicate by at least two reviewers, with findings summarized descriptively.
Results: The review included 286 articles published between 1995 and 2023, with approximately 75% published in the last five years. Studies were conducted in 36 countries, with China (50%) leading in contributions. All articles used performance analysis techniques, while 80% also used science-mapping techniques. The most commonly used performance analysis metrics were ‘total publications’ (93%) and ‘total citations’ (60%). Co-word (69%) and co-authorship (62%) analysis were the most common science mapping techniques. VOSviewer and CiteSpace were the predominant visualization software employed.
Conclusions: This review demonstrates large methodological diversity in the conduct of CAIM bibliometrics, highlighting a need for standardized practices. Future research should focus on developing uniform methodologies and incorporating diverse metrics and alternative data sources to enhance analysis reliability.
A Virtual 3D Printing Framework for Off-Earth Construction
Authors: Mollah Md Tusher , Šeta Berin , Spangenberg Jon 
Published: January 2025

Abstract

3D printing, due to its digital nature, offers a practical approach to autonomous off-Earth construction by utilizing local materials, thereby reducing the reliance on Earth-based resources and manpower. Implementing large-scale and rapid 3D printing of structures in extraterrestrial environments poses unique challenges due to conditions such as altered gravity, vacuum, and extreme thermal variations. These challenges are compounded by the fact that replicating altered gravity on Earth is not feasible. Therefore, a virtual system is needed to advance the 3D printing capabilities. This paper presents computational fluid dynamics (CFD) models developed to simulate the 3D printing of structures under altered gravity conditions. The results provide insights into geometrical precision and deformation as gravity varies across different celestial bodies, as well as the influence of regolith mortar properties and nozzle diameter when focusing on printing on the Moon. The results highlight ways to control the curing kinetics of the Lunar regolith mortar in order to print fast and on larger scale.
The triple-dip La Niña was key to Earth’s extreme heat uptake in 2022-2023
Authors: Tsuchida Ko , Kosaka Yu , Minobe Shoshiro 
Published: January 2025

Abstract

Recent observations reveal a surge in Earth's energy uptake in 2022/23. Despite its pivotal role in the striking global surface temperature rise and widespread climate extremes observed by early 2024 1,2, its attribution is hampered by the lack of understanding on the role of internal climate variability on the Earth’s energy imbalance. Here, through analyzing multi-model climate simulations, we show that the 2022/23 extreme Earth’s energy uptake is tied to the transition from the three-year La Niña 3,4,5,6 to the strong 2023/24 El Niño. We find that simulation samples with extreme global energy uptake systematically accompany preceding multi-year La Niña and subsequent El Niño, consistent with observations. These samples also replicate the dominant contribution of the shortwave radiation anomaly to the net energy imbalance and spatial distributions of radiation and atmospheric circulation anomalies organized by El Niño-Southern Oscillation. Our additional sampling analyses with ENSO transition confirm the major role of the La Niña-to-El Niño sequence on the enhanced energy uptake, with the key importance of multi-year persistence in preceding La Niña. Our finding illustrates the striking influence of internal climate variability on Earth's energy budget in addition to anthropogenic forcing and underscores their significance in past and future global climate extremes.
Dual-Targeting Nanoparticles Enhance Microglial P2Y12R Expression to Promote Neuronal Mitophagy for Repairing Spinal Cord Injury
Authors: Rong Limin , Tian Zhenming , Li Hong Li , Jiang Yunheng , Wei Huiye , Lu Yubao , Yao Senyu , Pang Mao , Shuai Xintao , Liu Bin 
Published: January 2025

Abstract

Spinal cord injury (SCI) leads to severe mitochondrial dysfunction and ROS cascade, with microglia playing a dual role in both exacerbating damage and providing neuroprotection. Recent evidence has highlighted the importance of P2Y12R in microglial-neuron interactions, particularly in modulating mitochondrial quality control and mitigating oxidative stress. Here, we develop a dual-targeting nanoparticle system (P2Y-Nano) to enhance P2Y12R expression in activated microglia and promote neuronal mitophagy, aiming to reduce mitochondrial reactive oxygen species (mtROS) and improve neuronal survival following SCI. The P2Y-Nano system combines a ROS-responsive thioketal bond for injury-site targeting with an MG1 peptide to selective target activated M1 microglia. This design enables precise nanoparticle delivery to the ROS-enriched injury microenvironment, effectively restoring P2Y12R expression in microglia. Microglia treated with P2Y-Nano exhibit elevated P2Y12R expression, leading to increased interaction with injured neurons, improved mitophagy, and reduced mtROS production. These combined effects significantly attenuate secondary damage and contribute to neuroprotection post-SCI. Our findings reveal a novel regulatory mechanism by which P2Y12R overexpression in microglia enhances neuronal mitophagy and mitigates oxidative stress after SCI. The dual-targeting P2Y-Nano system offers a promising therapeutic approach not only for SCI but also for other CNS disorders characterized by microglial activation and mitochondrial dysfunction.
WITHDRAWN: A Systematic Approach to Demulsifier Selection for Crude Oil Dehydration Using Fuzzy TOPSIS
Authors: Mohammad Suleiman Ibrahim Shelash , Vasudevan Asokan , Koka Nisar Ahmad , H. Malathi , Kazmi Syeda Wajida , Chahar Mamata , Ghazaly Nouby M. , Kumar Abhinav , Esanmurodova N. , Shafieezadeh M. Mehdi 
Published: January 2025

Abstract

The full text of this preprint has been withdrawn, as it was submitted in error. Therefore, the authors do not wish this work to be cited as a reference. Questions should be directed to the corresponding author.
iDesignGPT: large language model agentic workflows boost engineering design
Authors: Zhang Zhinan , Liu Songkai , Shen Yanqing , Zhang Yilun , Hou Zhangli , Wang Xin , Luo Jianxi 
Published: January 2025

Abstract

Engineering design, a cornerstone of technological innovation, faces persistent challenges from the rigidity of traditional methods and the insufficient responsiveness of emerging AI tools to fully address its inherently complex, dynamic, and creativity-driven demands. Here we introduce iDesignGPT, a novel framework that integrates large language model with established design methodologies to enable dynamic multi-agent collaboration for problem refinement, information gathering, design space exploration, and iterative optimization. By incorporating design metrics such as coverage, diversity, and novelty, iDesignGPT provides decision-enabling, data-driven insights for conceptual engineering design evaluation. Our results reveal that iDesignGPT surpasses benchmark models in generating innovative, modular, and rational solutions, particularly in exploratory, open-ended scenarios prioritizing creativity and adaptability. User studies, involving both students and experienced engineers, validate its ability to uncover hidden requirements, foster creativity, and enhance workflow transparency. Collectively, these findings position iDesignGPT as a scalable platform that lowers the expertise barrier, fosters interdisciplinary collaboration, and expands the transformative potential of AI-assisted engineering design.
A carbon nanotube based electron source with 0.3eV energy spread and an unconventional time delay
Authors: Li Chi , Chen Ke , Yu Chao , Wang Xiaowei , Zhou Shenghan , Wang Li , Qu Yusong , Wang Aiwei , Xiao Fan , Li Zhenjun , Dai Jiayu , Wan Xiangang , Lu Ruifeng , Dai Qing 
Published: January 2025

Abstract

Conventianal metal tip based laser-driven electron source is normally constrained by a trade-off between energy spread and pulse duration due to optical-field-induced free electron acceleration, making it challenging to overcome the current state of the art electron source with over 1 eV energy spread and hundreds of femoto second (fs) duration. Here, we report an unconventional delayed emission in a one-dimensional carbon nanotube (CNT) based electron source. By utilizing a special pump-probe approach, we apply 7 fs laser pulses to the CNT emitters and observe free electron emission tens of fs after the pulse. This delayed emission resulted in a substantial reduced energy spread to approximately 0.3 eV and an electron pulse duration of about 13 fs. Through time-dependent density functional theory calculations, we find that this is driven by the interplay of collective oscillations and electron-electron interactions. Our results may provide a promising technology for the cutting-edge ultrafast electron sources.
Salting-out effect of quaternary alkylammonium cations on protein solubility derived from the excluded-volume and hydrophobicity of cations
Authors: Nakayama Tatsushi 
Published: January 2025

Abstract

The solubility of several proteins, including hen egg-white lysozyme, bovine serum albumin, cytochrome C, and canavalia ensiformis urease (from Jack bean), was examined in the presence of quaternary alkylammonium salts, tetramethylammonium perchlorate, tetraethylammonium perchlorate, tetrapropylammonium perchlorate, and tetrabutylammonium perchlorate. The quaternary alkylammonium cations markedly reduced protein solubility, and were more potent than Hofmeister cations, such as sodium, potassium, and cesium. The quaternary alkylammonium cations reduced protein solubility mainly through the excluded-volume effect rather than electrostatic shielding or hydrophobic effect. This result highlights the importance of the excluded-volume derived from salts themselves in the salting-out effect and provides insights into the mechanism of the Hofmeister series.
Identifying Cognitive Resources in a Decision-Making during Gambling
Authors: Mohammad Amin , Elias  , Narjes  , Hamid  
Published: January 2025

Abstract

In the learning stage of reward processing, the presence of an event-related potential (ERP) denoted as the Feedback-Related Negativity (FRN) is vastly mentioned which is elicited 200–350 milliseconds after feedback onset. Previous studies have confirmed Reinforcement Learning theory's prediction that a significant correlation exists between dopamine neuron responses (which generate the FRN) and the disparity between actual and expected outcomes where the expected outcome is determined by the probability and magnitude of rewards. Although previous studies have extensively illustrated the impact of reward probability on the FRN, the demonstration of the impact of reward magnitude on the FRN has not been established conclusively and still remains a matter of debate. Here in this study, we wanted to assess the effects that reward magnitude has on the FRN and its generator(s) as well in an isolated context. We recruited 24 participants and recorded 65-channel High-Density EEG signals with simultaneous fMRI, while they engaged in a modified task designed to control reward probability and evaluate the effects of reward magnitude. In our findings, firstly, a substantial positive correlation is observed between the ERP amplitude within the temporal window of FRN and the magnitude of outcomes, and through dipole fitting and distributed source localization, the source of FRN, regardless of magnitude, was located in the Medial Frontal Cortex. Our findings reveal strong connections among brain regions involved in error monitoring, memory, attention, and visual processing, with the dorsal Anterior Cingulate Cortex serving as a central hub. No significant differences were found between connectivity of win- and loss-related FRN’s brain sources. Additionally, participants demonstrated varying risk-taking behaviors across trials, favoring higher-risk options and transitioning towards more cautious decisions over consecutive trials during the experiment. The analysis also revealed increased risk-taking following losses compared to gains, highlighting contextual influences on decision-making.
Antimalarial Evaluation of Magnesium Nanoparticlres of Bioactive Compounds Derived From Crinum Jagus Rhizome
Authors: Salsabilu Kabir 
Published: January 2025

Abstract

Magnesium Nanoparticles (MgNPs), are biocompatible and have shown promise in various biomedical applications, including antimicrobial and antimalarial treatments. Synthesis of magnesium nanoparticles from crude extract and isolated compound of crinum jagus rhizome and their antimalarial activity were reported. Magnesium nanoparticles mediated by crude extract and isolated compound were characterized by UV-visible spectroscopy, SEM and TEM analyses. The UV-visible absorption results of the magnesium nanoparticles synthesized from the crude extract showed absorption that varies slightly across the wavelength range of 343 nm to 353 nm, with a peak absorption value of 1.52934 at 345 nm. UV-visible absorption data for the magnesium nanoparticles synthesized from the isolated compound (lupeol) shows significant absorption in the range of 343 nm to 353 nm. The absorption values are relatively high, with a peak at 345 nm where the absorbance is 0.88005. MgNPs synthesized from the crude extract exhibited the best antimalarial activity (IC50 = 0.1310), significantly outperforming both the lupeol-based MgNPs (IC50 = 0.9103) and chloroquine (IC50 = 0.2762). The enhanced activity of the crude extract-based MgNPs may be attributed to the synergistic effects of multiple bioactive compounds present in the crude extract. The antimalarial activity observed in this study highlights the potential of combining traditional plant-based medicine with nanotechnology. The significantly lower IC50 values (0.1310) for the crude extract MgNPs compared to chloroquine (0.2762) demonstrate the promising future of this approach in overcoming drug resistance and improving the efficacy of antimalarial treatments.
CICLO BIOLÓGICO DE Nysius simulans (STÅL, 1860) (HEMIPTERA: LYGAEIDAE) EN CULTIVARES COMERCIALES DE QUINUA EN CONDICIONES DE LABORATORIO EN LIMA, PERÚ
Authors: Maquera Cruz Wilson Alberto , Rodríguez Berrio Alexander Regulo 
Published: January 2025

Nysius simulans es considerada una plaga polífaga presente en muchas plantaciones. En áreas de producción de quinua se ha observado causando daños a la panoja y afectando la calidad del grano; sin embargo, hacen falta estudios que permitan en el futuro optimizar estrategias para su control. El objetivo fue determinar el ciclo biológico de N. simulans utilizando como dieta alimenticia cultivares comerciales de quinua. Se realizó la crianza masal a nivel de laboratorio. Para el estudio del ciclo biológico se alimentó con tres cultivares comerciales de quinua (Blanca de Hualhuas, Roja Pasankalla y Rosada de Huancayo). Se evaluó bajo condiciones controladas de laboratorio (26.6 °C y 46.4% HR). El ciclo biológico completo tomó 58.54 días. El período de incubación tomó 6.98 días y la proporción macho/hembra fue de 1/1.2. Presentó un período de pre-oviposición de 3.89 días; uno de oviposición de 23.13 días; y uno pos-oviposición de 2.13 días. Las ninfas pasaron por cinco instares con una duración de 22.4 días. Los cultivares de quinuas usadas como dieta alimenticia no influyeron en el ciclo biológico.