bluuebunny/crossref_metadata_2025_split huggingface dataset:
Paco Cepero, una guitarra jerezana
Authors: González Fabregat David 
Published: January 2020

Con este trabajo ofrecemos una aproximación a la vida y obra del guitarrista jerezano Paco Cepero. Se repasan los eslabones de una cadena de maestros que conducen hasta su figura y que lo sitúan dentro de la escuela jerezana de toque. Asimismo, partiendo de otros trabajos biográficos, de datos recogidos en prensa y en testimonios personales, recorremos su vida artística. Analizamos también la obra discográfica de este prolífico artista, tanto en su faceta como compositor, como en la de acompañante y solista. El trabajo se completa con una interesante entrevista mantenida con el maestro Cepero en fechas recientes.
This work is an approach to the life and works of the Spanish guitarist Paco Cepero from Jerez de la Frontera. The links of a chain of flamenco guitar masters that lead to their figure are reviewed, placing him in the Jerez school of flamenco guitar playing. Thus, using as a baseline some existing biographical texts, information gathered from the press and personal testimonies, we traced through his artistic life. We also analyze the discography of this prolific artist, as a composer, accompanist and soloist. This work is completed with an interesting interview with Paco Cepero in recent dates.
RIdeogram: drawing SVG graphics to visualize and map genome-wide data on the idiograms
Authors: Hao Zhaodong , Lv Dekang , Ge Ying , Shi Jisen , Weijers Dolf , Yu Guangchuang , Chen Jinhui 
Published: January 2020

Background
Owing to the rapid advances in DNA sequencing technologies, whole genome from more and more species are becoming available at increasing pace. For whole-genome analysis, idiograms provide a very popular, intuitive and effective way to map and visualize the genome-wide information, such as GC content, gene and repeat density, DNA methylation distribution, genomic synteny, etc. However, most available software programs and web servers are available only for a few model species, such as human, mouse and fly, or have limited application scenarios. As more and more non-model species are sequenced with chromosome-level assembly being available, tools that can generate idiograms for a broad range of species and be capable of visualizing more data types are needed to help better understanding fundamental genome characteristics.

Results
The R package RIdeogram allows users to build high-quality idiograms of any species of interest. It can map continuous and discrete genome-wide data on the idiograms and visualize them in a heat map and track labels, respectively.

Conclusion
The visualization of genome-wide data mapping and comparison allow users to quickly establish a clear impression of the chromosomal distribution pattern, thus making RIdeogram a useful tool for any researchers working with omics.
Flavonoids from Epimedium pubescens: extraction and mechanism, antioxidant capacity and effects on CAT and GSH-Px of Drosophila melanogaster
Authors: Yang Xiao-Hua , Li Lu , Xue Yao-Bi , Zhou Xue-Xue , Tang Jie-Hua 
Published: January 2020

Background
Epimedium is a famous medicinal plant in China, Southeast Asian and some other regions. Flavonoids are regarded as its supremely important active constituents used in phytomedicines and/or functional foods. It is of theoretical and applied significance to optimize the procedure for extraction of flavonoids with high bioactivity from Epimedium, to unveil extraction mechanism, to identify chemical composition of flavonoids, to analyze free radical-scavenging ability of flavonoids, and to investigate their effects on the model organism Drosophila melanogaster.

Methods
Box-Behnken design was applied to optimization of extraction procedure. Laser diffraction particle size analysis was used to clarify extraction mechanism. Chemical composition of flavonoids was analyzed using high-performance liquid chromatography. Antiradical capacities of flavonoids were determined by chemical-based assay. Then, effects of flavonoids on catalase (CAT) and glutathione peroxidase (GSH-Px) in D. melanogaster were investigated for the first time.

Results
The optimal condition for ultrasonic extraction of antioxidant flavonoids from Epimedium pubescens was achieved and extraction mechanism was discussed. Epimedium flavonoids contained icariin, epimedin A, epimedin B and epimedin C. Epimedium flavonoids exhibited the ability to scavenge ABTS+ and DPPH⋅ radicals with EC50 values of 55.8 and 52.1 µg/ml, respectively. Moreover, Epimedium flavonoids were able to increase activities of CAT and GSH-Px in D. melanogaster. For females, oral administration of flavonoids improved CAT and GSH-Px activities by 13.58% and 5.18%, respectively. For males, oral administration of flavonoids increased CAT and GSH-Px activities by 13.90% and 5.65%, respectively.

Conclusion
Flavonoids ultrasonically extracted from E. pubescens considerably affected antioxidant defense system in D. melanogaster. Flavonoids of E. pubescens showed great potential for becoming a natural antioxidant because of their antiradical ability and effects on CAT and GSH-Px of the model organism.
Integrated bioinformatics analysis of potential pathway biomarkers using abnormal proteins in clubfoot
Authors: Cai Guiquan , Yang Xuan , Chen Ting , Jin Fangchun , Ding Jing , Wu Zhenkai 
Published: January 2020

Background
As one of the most common major congenital distal skeletal abnormalities, congenital talipes equinovarus (clubfoot) affects approximately one in one thousandth newborns. Although several etiologies of clubfoot have been proposed and several genes have been identified as susceptible genes, previous studies did not further explore signaling pathways and potential upstream and downstream regulatory networks. Therefore, the aim of the present investigation is to explore abnormal pathways and their interactions in clubfoot using integrated bioinformatics analyses.

Methods
KEGG, gene ontology (GO), Reactome (REAC), WikiPathways (WP) or human phenotype ontology (HP) enrichment analysis were performed using WebGestalt, g:Profiler and NetworkAnalyst.

Results
A large number of signaling pathways were enriched e.g. signal transduction, disease, metabolism, gene expression (transcription), immune system, developmental biology, cell cycle, and ECM. Protein-protein interactions (PPIs) and gene regulatory networks (GRNs) analysis results indicated that extensive and complex interactions occur in these proteins, enrichment pathways, and TF-miRNA coregulatory networks. Transcription factors such as SOX9, CTNNB1, GLI3, FHL2, TGFBI and HOXD13, regulated these candidate proteins.

Conclusion
The results of the present study supported previously proposed hypotheses, such as ECM, genetic, muscle, neurological, skeletal, and vascular abnormalities. More importantly, the enrichment results also indicated cellular or immune responses to external stimuli, and abnormal molecular transport or metabolism may be new potential etiological mechanisms of clubfoot.
Performance Evaluation of a Refrigeration System for Fresh Maize Storage
Authors: O. Caleb O. , G. Olaiya N. , A. Akintunde M. 
Published: January 2020

Aims: In this research project, a refrigeration system that will preserve the quality of fresh maize was developed.
Study Design: Design of refrigeration system.
Place and Duration of Study: Department of Industrial and Production Engineering, Federal University of Technology, Akure, Ondo State, Nigeria, between August 2017 and February 2018.
Methodology: The designed system consists of a cooling cabinet, compressor, condenser and an evaporator. The cabinet was designed to store up to 15 kg of maize and a compressor of 1/6 hp was used. The equivalent condenser and evaporator were selected with an equivalent expansion valve. R134a was used as the refrigerant. The cabinet walls were fabricated from mild steel (outside wall), stainless steel (inner wall) and glass wool (insulator).
Results: The fabricated system stores fresh maize above its freezing temperature of -1ºC. The system operating temperature ranges from -4 to 2.5ºC with a relative humidity of 90 to 95% for eight hours.
Conclusion: The fresh maize was stored for ten days without noticeable changes in the physical appearance and taste of the maize.
Photonic Supercoupling in Silicon Topological Waveguides
Authors: Jia Ridong , Tan Yi Ji , Navaratna Nikhil , Kumar Abhishek , Singh Ranjan 
Published: December 2024

AbstractWaveguide interconnect coupling control is essential for enhancing the chip density of photonic integrated circuits to incorporate a growing number of components. However, a critical engineering challenge is to achieve both strong waveguide isolation and efficient long‐range coupling on a single chip. Here, a novel photonic supercoupling phenomenon is demonstrated for waveguide coupling over separation distances from a quarter to five wavelengths (λ), leveraging the tunable mode tails and the vortex energy flow in topological valley Hall system. A supercoupled integrated chip is developed, realizing a 91% coupling ratio and a −30 dB isolation over 2.8λ waveguide separations simultaneously. Supercoupled devices are further showcased including a waveguide‐cavity system with 3.2λ excitation distance, and a waveguide directional supercoupler with a compact coupling area of nearly λ2/4, which outperform conventional devices. Supercoupling provides new degrees of freedom for optimizing coupling and isolation between photonic integrated components, facilitating new applications in on‐chip sensing, lasing, and telecommunications.
Advanced Neural Probe Sensors toward Multi‐Modal Sensing and Modulation: Design, Integration, and Applications
Authors: Wang Tiansong , Chen Yanze , Wang Yi , Lee Sung‐Ho , Lee Yuan‐Shin , Dong Jingyan 
Published: December 2024

AbstractNeural probe devices have undergone significant advancements in recent years, evolving from basic single‐functional devices to sophisticated integrated systems capable of sensing, stimulating, and regulating neural activity. The neural probes have been demonstrated as effective tools for diagnosing and treating numerous neurological disorders, as well as for understanding sophisticated connections and functions of neuron circuits. The multifunctional neural probe platforms, which combine electrical, optical, and chemical sensing capabilities, hold promising potential for revolutionizing personalized healthcare through closed‐loop neuromodulation, particularly in the treatment of conditions such as epilepsy, Parkinson's disease, and depression. Despite these advances, several challenges remain to be further investigated, including biocompatibility, long‐term signal quality and stability, and miniaturization, all of which hinder their broader clinical application. This paper provides an overview of the design principles of the neural probe structures and sensors, fabrication strategies, and integration techniques for the advanced multi‐functional neural probes. Key electrical, optical, and chemical sensing mechanisms are discussed, along with the selection of corresponding functional materials. Additionally, several representative applications are highlighted, followed by a discussion of the challenges and opportunities that lie ahead for this emerging field.
Superlattice Thermal Modulation in MoS2${\rm MoS}{_2}$ by Defect Engineering
Authors: Dettori Riccardo , Siddi Francesco , Colombo Luciano , Melis Claudio 
Published: December 2024

Abstract is one of the most investigated and promising transition‐metal dichalcogenides. Its popularity stems from the interesting properties of the monolayer phase, which can serve as the fundamental block for numerous applications. In this paper, an atomistic perspective on the modulation of thermal transport properties in monolayer through strategic defect engineering, specifically the introduction of sulfur vacancies is proposed. Using a combination of molecular dynamics simulations and lattice dynamics calculations, how various distributions of sulfur vacancies (ranging from random to periodically arranged configurations) affect its thermal conductivity is shown. Notably, it is observed that certain periodic arrangements restore the thermal conductivity of the pristine system, due to a minimized interaction between acoustic and optical phonons facilitated by the imposed superperiodicity. This research deepens the understanding of phononic heat transport in two‐dimensional (2D) materials and introduces a different point‐of‐view for phonon engineering in nanoscale devices, offering a pathway to enhance device performance and longevity through tailored thermal management strategies.
Rapid Stiffness Mapping in Soft Biologic Tissues With Micrometer Resolution Using Optical Multifrequency Time‐Harmonic Elastography
Authors: Jordan Jakob , Jaitner Noah , Meyer Tom , Bramè Luca , Ghrayeb Mnar , Köppke Julia , Böhm Oliver , Chandia Stefan Klemmer , Zaburdaev Vasily , Chai Liraz , Tzschätzsch Heiko , Mura Joaquin , Braun Jürgen , Hagemann Anja I.H. , Sack Ingolf 
Published: December 2024

AbstractRapid mapping of the mechanical properties of soft biological tissues from light microscopy to macroscopic imaging can transform fundamental biophysical research by providing clinical biomarkers to complement in vivo elastography. This work introduces superfast optical multifrequency time‐harmonic elastography (OMTHE) to remotely encode surface and subsurface shear wave fields for generating maps of tissue stiffness with unprecedented detail resolution. OMTHE rigorously exploits the space‐time propagation characteristics of multifrequency time‐harmonic waves to address current limitations of biomechanical imaging and elastography. Key solutions are presented for stimulation, wave decoding, and stiffness reconstruction of shear waves at multiple harmonic frequencies, all tuned to provide consistent stiffness values across resolutions from microns to millimeters. OMTHE's versatility is demonstrated by simulations, phantoms, Bacillus subtilis biofilms, zebrafish embryos and adult zebrafish, reflecting the diversity of biological systems from a mechanics perspective. By zooming in on stiffness details from coarse to finer scales, OMTHE has the potential to advance mechanobiology and offers a way to perform biomechanics‐based tissue histology that consistently matches in vivo time‐harmonic elastography in patients.
Correlation of Band Bending and Ionic Losses in 1.68 eV Wide Band Gap Perovskite Solar Cells
Authors: Scheler Florian , Mariotti Silvia , Mantione Daniele , Shah Sahil , Menzel Dorothee , Köbler Hans , Simmonds Maxim , Gries Thomas W. , Kurpiers Jona , Škorjanc Viktor , Li Jinzhao , Al‐Ashouri Amran , Wagner Philipp , Harvey Steven P. , Yang Fengjiu , Rusu Marin , Unold Thomas , Stannowski Bernd , Zhu Kai , Lang Felix , Neher Dieter , Unger Eva , Abate Antonio , Mecerreyes David , Stolterfoht Martin , Köhnen Eike , Korte Lars , Topič Marko , Albrecht Steve 
Published: December 2024

AbstractPerovskite solar cells (PSCs) are promising for high‐efficiency tandem applications, but their long‐term stability, particularly due to ion migration, remains a challenge. Despite progress in stabilizing PSCs, they still fall short compared to mature technologies like silicon. This study explores how different piperazinium salt treatments using iodide, chloride, tosylate, and bistriflimide anions affect the energetics, carrier dynamics, and stability of 1.68 eV bandgap PSCs. Chloride‐based treatments achieved the highest power conversion efficiency (21.5%) and open‐circuit voltage (1.28 V), correlating with stronger band bending and n‐type character at the surface. At the same time, they showed reduced long‐term stability due to increased ionic losses. Tosylate‐treated devices offered the best balance, retaining 96.4% efficiency after 1000 h (ISOS‐LC‐1I). These findings suggest that targeted surface treatments can enhance both efficiency and stability in PSCs.
Low Evaporation Enthalpy Ionic Covalent Organic Frameworks for Efficient Atmospheric Water Harvesting at Low Humidity
Authors: Shi Zheng , Guo Yu , Zou Xiuyang , Zhang Jiamin , Chen Zhiwei , Shan Mingqing , Zhang Zhixin , Guo Siyu , Yan Feng 
Published: December 2024

AbstractHerein, we introduce a series of ionic covalent organic frameworks (iCOFs) with a focus on addressing the challenge of water collection at low relative humidity levels below 25 %. These iCOFs are characterized by numerous hydrophilic sites and high water stability, enabling efficient water vapor adsorption even at relatively low humidity levels. Through the use of various hygroscopic salt cations and precise control of ion concentration within the pores, the water state within the iCOFs pores can be effectively managed. Among the iCOFs, TB‐COF‐Li stands out with an impressive adsorption capacity of 0.24 g g−1 from 0 to 22 % RH. Notably, due to its ionic porous structure, TB‐COF‐Li exhibits a significantly lower enthalpy of evaporation, measured at 967.04 J g−1, compared to bulk water with an enthalpy of 2387.40 J g−1. Moreover, under simulated conditions of 1.5 solar intensity at 60 °C, the majority of the adsorbed water can be rapidly desorbed without the need for additional energy input. This efficient desorption process contributes to a high water collection rate of 0.092 g g−1 h−1 in the final atmospheric water harvesting device. The development of these iCOFs offers a promising and cost‐effective solution for obtaining fresh water in arid regions.
Unveiling Ancient Constructive Phases With Integrated Geophysical Prospection in the Group of the Columns, Mitla, Oaxaca
Authors: Argote Denisse L. , Cifuentes‐Nava Gerardo , Tejero‐Andrade Andrés , Cárdenas‐Soto Martín , Pacheco‐Arias Leobardo , Vigato Marco , Celle Ludovic 
Published: December 2024

ABSTRACTThe archaeological zone of Mitla has an invaluable place within the Mexican cultural heritage. This pre‐Hispanic city concentrated the political and religious power of the central valleys of Oaxaca, south of Mexico, mainly during the Postclassic period. However, despite its great cultural importance and considering the risk to its monuments due to the high seismicity of the region, very few studies have focused on the systematic exploration of the subsoil of this area. The present research aimed to characterize the subsoil of one of the architectural compounds of the archaeological zone, the Group of the Columns, aiming to identify possible underground elements such as architectural structures, tunnels or tombs. For that purpose, three non‐invasive geophysical methods were applied, ground penetrating radar (GPR), electrical resistivity tomography (ERT) and ambient noise tomography (ANT). In the palace, all three methods showed the presence of a substructure below the Hall of the Columns. In the Plaza of the Columns, the GPR detected anthropogenic walls and platforms at different depths that suggest a different configuration of the square and a more prolonged occupation of this group. The results open the discussion about the temporality of the first construction of this architectural group.
Best Subset Solution Path for Linear Dimension Reduction Models Using Continuous Optimization
Authors: Liquet Benoit , Moka Sarat , Muller Samuel 
Published: December 2024

ABSTRACTThe selection of best variables is a challenging problem in supervised and unsupervised learning, especially in high‐dimensional contexts where the number of variables is usually much larger than the number of observations. In this paper, we focus on two multivariate statistical methods: principal components analysis and partial least squares. Both approaches are popular linear dimension‐reduction methods with numerous applications in several fields including in genomics, biology, environmental science, and engineering. In particular, these approaches build principal components, new variables that are combinations of all the original variables. A main drawback of principal components is the difficulty to interpret them when the number of variables is large. To define principal components from the most relevant variables, we propose to cast the best subset solution path method into principal component analysis and partial least square frameworks. We offer a new alternative by exploiting a continuous optimization algorithm for best subset solution path. Empirical studies show the efficacy of our approach for providing the best subset solution path. The usage of our algorithm is further exposed through the analysis of two real data sets. The first data set is analyzed using the principle component analysis while the analysis of the second data set is based on partial least square framework.
Adjusted Inference for Multiple Testing Procedure in Group‐Sequential Designs
Authors: Zhao Yujie , Liu Qi , Sun Linda Z. , Anderson Keaven M. 
Published: December 2024

ABSTRACTAdjustment of statistical significance levels for repeated analysis in group‐sequential trials has been understood for some time. Adjustment accounting for testing multiple hypotheses is also well understood. There is limited research on simultaneously adjusting for both multiple hypothesis testing and repeated analyses of one or more hypotheses. We address this gap by proposing adjusted‐sequential p‐values that reject when they are less than or equal to the family‐wise Type I error rate (FWER). We also propose sequential ‐values for intersection hypotheses to compute adjusted‐sequential ‐values for elementary hypotheses. We demonstrate the application using weighted Bonferroni tests and weighted parametric tests for inference on each elementary hypothesis tested.
Assessing Balance of Baseline Time‐Dependent Covariates via the Fréchet Distance
Authors: Díaz Mireya 
Published: December 2024

ABSTRACTAssessment of covariate balance is a key step when performing comparisons between groups particularly in real‐world data. We generally evaluate it on baseline covariates, but rarely on longitudinal ones prior to a management decision. We could use pointwise standardized mean differences, standardized differences of slopes, or weights from the model for such purpose. Pointwise differences could be cumbersome for densely sampled longitudinal markers and/or measured at different points. Slopes are suitable for linear or transformable models but not for more complex curves. Weights do not identify the specific covariate(s) responsible for imbalances. This work presents the Fréchet distance as a viable alternative to assess balance of time‐dependent covariates. A set of linear and nonlinear curves for which their standardized difference or differences in functional parameters were within 10% sought to identify the Fréchet distance equivalent to this threshold. This threshold is dependent on the level of noise present and thus within group heterogeneity and error variance are needed for its interpretation. Applied to a set of real curves representing the monthly trajectory of hemoglobin A1c from diabetic patients showed that the curves in the two groups were not balanced at the 10% mark. A Beta distribution represents the Fréchet distance distribution reasonably well in most scenarios. This assessment of covariate balance provides the following advantages: It can handle curves of different lengths, shapes, and arbitrary time points. Future work includes examining the utility of this measure under within‐series missingness, within‐group heterogeneity, its comparison with other approaches, and asymptotics.