bluuebunny/crossref_metadata_2025_split huggingface dataset:
Impact of cleaning procedures on screen-printed gold electrodes performance for mutation detection
Authors: García García David , Espinosa Garcia Lizbeth , Madrigal-Santillán Eduardo O. , Morales-González José A. , Madrigal-Bujaidar Eduardo , Álvarez-González Isela , Damian-Matsumura Pablo , Jiménez-Salazar Javier Esteban , Batina Nikola , Garcia-Melo Luis Fernando 
Published: February 2025

Abstract
The manufacture of biosensors has significantly increased in the field of biomedicine, driven by their miniaturization and portability. However, the quality of the obtained results can be compromised by potential inconsistencies on the electrode surface arising from manufacturing defects and necessary pre-treatments before use. This study evaluated four cleaning methods for screen-printed gold electrodes (SPGEs): HClO4, H2O2 (electrochemical and chemical agent exposure methods). The electrodes were characterized by cyclic voltammetry (CV), differential pulse voltammetry (DPV), and high-resolution scanning electron microscopy (SEM) at magnifications of ×5000, ×20,000, and ×50,000. After comparing the results, the most effective pretreatment was selected. Furthermore, a final comparison was conducted to assess the capacity for depositing a genetic mutation of the K-ras gene, before and after applying the selected cleaning method. The results indicated that the untreated electrodes were not uniform and exhibited surface interference, detected by SEM as dark spots. These interferences were effectively eliminated by an electrochemical cleaning method, complemented by CV with [Fe(CN)6]3−/4−, which also stabilized the electrode surface, allowing for the correct deposition of the DNA probes.

Graphical abstract
Plasticity in leukocyte migration during haematopoiesis and inflammation
Authors: Villella C. , Ciccioli M. , Anton I. M. , Calle Y. 
Published: February 2025

Abstract
Under normal physiological conditions, leukocytes and other tissue resident immune cells have been shown to migrate using the mesenchymal (integrin/adhesion dependent) and/or ameboid (integrin/adhesion independent) modes of migration. The objective of this manuscript is to provide a comprehensive literature review that illustrates how leukocytes display high levels of plasticity shifting between ameboid to mesenchymal modes of migration during haematopoiesis and the inflammatory response. This plasticity is shaped by the reciprocal regulation between the pattern of gene expression associated with their haematopoietic lineage or the leukocyte activation status, and the response to the physicochemical and topological characteristics of the surrounding tissue. The use of some common elements from the F-actin polymerising and actomyosin machinery in both modes of migration may facilitate the high capacity of leukocytes to alternate between the two migration modes while navigating a highly heterogenous landscape of physicochemical cues in their anatomical journey. We discuss this paradigm using detailed examples of specific leukocyte populations such as dendritic cells, macrophages and lymphocytes. We propose that cell adhesions involved in leukocyte migration represent signalling hubs where differentiation and physicochemical cues converge. These molecular complexes then generate signalling outputs that coordinate leukocyte expansion, differentiation, and optimal patterns of cell migration during haematopoiesis and leukocyte recruitment to inflammation sites.
Structure Bioinformatics of Six Human Integral Transmembrane Enzymes and their AlphaFold3 Predicted Water-Soluble QTY Analogs: Insights into FACE1 and STEA4 Binding Mechanisms
Authors: Chen Edward , Pan Emily , Zhang Shuguang 
Published: February 2025

Abstract

Objective
Human integral membrane enzymes are essential for catalyzing a wide range of biochemical reactions and regulating key cellular processes. However, studying these enzymes remains challenging due to their hydrophobic nature, which necessitates the use of detergents. This study explores whether applying the QTY code can reduce the hydrophobicity of these enzymes while preserving their structures and functions, thus facilitating bioinformatics analysis of six key integral membrane enzymes: MGST2, LTC4S, PTGES, FACE1, STEA4, and SCD.

Methods
The water-soluble QTY analogs of the six membrane enzymes were predicted using AlphaFold3. The predicted structures were superposed with CyroEM determined native structures in PyMOL to observe changes in structure and protein-ligand binding ability.

Results
The native membrane enzymes superposed well with their respective QTY analogs, with the root mean square deviation (RMSD) ranging from 0.273 Å to 0.875 Å. Surface hydrophobic patches on the QTY analogs were significantly reduced. Importantly, the protein-ligand interactions in FACE1 and STEA4 were largely preserved, indicating maintained functionality.

Conclusion
Our structural bioinformatics studies using the QTY code and AlphaFold3 not only provide the opportunities of designing more water-soluble integral membrane enzymes, but also use these water-soluble QTY analogs as antigens for therapeutic monoclonal antibody discovery to specifically target the key integral membrane enzymes.
Improving harvester yield maps postprocessing leveraging remote sensing data in rice crop
Authors: Fita D. , Rubio C. , Franch B. , Castiñeira-Ibáñez S. , Tarrazó-Serrano D. , San Bautista A. 
Published: February 2025

Abstract
Precision Agriculture relies significantly on yield data obtained from combine harvesters, which constitutes a pivotal tool for optimizing crop productivity. Despite its potential, challenges in data accuracy persist, necessitating the development of novel automated postprocessing protocols for yield data refinement. In this paper, different automatic postprocessing protocols were evaluated using remote sensing data, specifically Sentinel-2 satellite imagery. Various automatic postprocessing protocols were applied to a dataset spanning 946 hectares over a four-year period. Commercial sensors on combine harvesters acquired the yield data. The analysis included global (field-level) adjustments and local adjustments at a finer scale (40 × 40 m² level), employing interval mean ± n·(standard deviation) calculations. Three n values (1, 1.5, and 2.5) were tested, resulting in thirteen distinct postprocessing variations. Finally, a mean filter was also applied. The results demonstrated that the yield correlation with satellite data increased with the reduction of yield variability at the pixel level (10 m). The best results were obtained using n = 1 with a 3 × 3 mean filter, where Sentinel-2 pixels remained unaffected, and the average Root Mean Square Error (RMSE) during validation was 0.572 t·ha⁻¹. In addition, the geostatistical parameters (coefficient of variation, semivariance, and range within a 10 m pixel) reached optimal values. Finally, the postprocessing uncertainty was determined to be 0.200 t·ha−1. These results validate the efficacy of a novel postprocessing protocol for refining yield data in rice crops. The integration of pixel-level data from combine harvesters with Sentinel-2 imagery emerges as a promising approach for optimizing crop management, offering valuable insights for the advancement of Precision Agriculture.
Trajectory of quality of life among patients with cancer at the end of life: a longitudinal survey study
Authors: Hasse Henriette Tind , Kjær Trine , Kristensen Søren Rud 
Published: February 2025

Abstract

Purpose
Measuring and understanding the determinants of HRQoL is essential to the delivery of effective and high-quality end-of-life (EoL) care to patients with cancer. Despite this, the evidence base remains sparse and with much of the existing literature relying on data from cross-sectional studies and clinical trials.

Aim
The objective of this study was to describe HRQoL in a population of patients with cancer leading up till death using both the generic preference-based scale European Quality of Life 5 Dimensions 5 Level Version and the disease-specific scale European Organization for the Research and Treatment of Cancer Quality of Life Questionnaire.

Methods
Using a longitudinal prospective study design, HRQoL data was collected in four waves over the course of one year. The population consisted of all patients who received cancer-targeted drug treatment at the Department of Oncology at Odense University Hospital, Denmark. Only patients who died during the data collection period were included.

Results
HRQoL in patients with cancer was stable for most months and close to the level of the general Danish population at the same age but deteriorated considerably in the last three months of life. The same pattern was observed for both HRQoL scales.

Conclusion
Despite current efforts to deliver high-quality EoL care to patients with cancer, we see a general decrease in HRQoL in the months leading up to death. The generic and disease-specific HRQoL scales do capture different dimensions of HRQoL which also, by construct, are weighted differently in the two approaches.
Parametrized Families of Resolvent Compositions
Authors: Cornejo Diego J. 
Published: February 2025

Abstract
This paper presents an in-depth analysis of a parametrized version of the resolvent composition, an operation that combines a set-valued operator and a linear operator. We provide new properties and examples, and show that resolvent compositions can be interpreted as parallel compositions of perturbed operators. Additionally, we establish new monotonicity results, even in cases when the initial operator is not monotone. Finally, we derive asymptotic results regarding operator convergence, specifically focusing on graph-convergence and the

$\rho $

ρ

-Hausdorff distance.
Rank information and inequality in social welfare functions
Authors: Darmann Andreas , Eckert Daniel , Klamler Christian 
Published: February 2025

Abstract
In this paper we use rank information to construct a measure of preference satisfaction by collective decision rules and to compare the Borda rule with the plurality rule with respect to the inequality their outcome induces. While the construction of our measure of preference satisfaction is formally equivalent to Borda utilities, it turns out that, with respect to equality, the Borda rule is not necessarily superior to plurality rule for the case of more than three alternatives.
Identification of selection signatures and genetic diversity in the sheep
Authors: Karabaş Mustafa , Yılmaz Onur 
Published: February 2025

Abstract
In the study, data obtained from OvineSNP50K SNP chips using the Illumina® iScan platform for Eşme sheep were used. The integrated haplotype score (iHS) and runs of homozygosity (ROH) statistical approaches were used to identify selection signatures. Using the iHS analysis, it was discovered that there are 10 genomic regions and 51 genes on ovine chromosomes 1, 9, 11, and 12 that are under selection. Three genomic regions and 97 genes on ovine chromosomes 6 and 11 were found to be under selection using the ROH analysis. Candidate genes associated with economic and ecological traits were detected using both approaches. Among the genetic diversity parameters considered in this study, the minor allele frequency (MAF), the genetic distance between individuals (D), as well as observed (Ho) and expected heterozygosities (He) values were 0.300, 0.309, 0.388, and 0.390, respectively. The obtained Ho, He and D values indicate a moderate level of genetic diversity. The ratio of polymorphic SNPs (PN) was 0.947, and the average values of FROH and FHOM were 0.030 and 0.029, respectively. Considering the PN value obtained in the study, it is evident that the SNPs in the population exhibit a high level of polymorphism at 94.7%. While the FROH value obtained indicates high genetic diversity among the individuals in the present study, the FHOM value suggests that the population is predominantly composed of heterozygous individuals. As a result, evidence indicating genetic advancements have been made for target traits in breeding programs within the population. Additionally, candidate genes suitable for future molecular marker-supported breeding programs have been identified. In addition, a better understanding of the genetic structure and production potential of the population has been achieved. Findings have shown that Eşme sheep are a breed with high meat production potential and strong adaptation abilities.
Assessment of Groundwater Quality and Contamination Hazardous using Water Quality Index and Physicochemical Analysis in Assiut Governorate, Upper Egypt
Authors: W.O Nassar , Hosny Rasha , Ghareeb Mohammed , Abd-Elhamid Hany F. , Zelenáková Martina , Gad Manal 
Published: February 2025

Abstract
The main water resources for Egypt are the River of the Nile and groundwater. Evaluating and assessing these vital resources is crucial for liable usage and meeting the growing demand for water. In Assiut area, groundwater stands as the second most significant freshwater source, serving all sectors including industrial sector, agricultural sector, and lastly domestic sector. Unfortunately, the groundwater in Assiut governorate face the imminent threat of contamination, primarily due to agricultural and other activities. A hydrochemical investigation was conducted graphically and spatially within GIS environment in the limestone Eocene aquifer of the designated study area. This research involved the collection and analysis of twelve groundwater samples to realize the physiochemical characteristics, providing insights into the hydrochemistry of the water. The assessment of water quality involved evaluating 16 parameter and comparing them to drinking water and irrigation standards set by both the Organization of World Health (WHO) and the Egyptian Specifications (ES). In this study 8 main parameters are selected due to their importance which are; Electrical Conductivity (EC), pH, Total Dissolved Solids (TDS), Nitrate (NO3-) and Fluoride (F-). The analysis indicates that the groundwater is not entirely suitable for drinking, particularly concerning TDS, Chemical Oxygen Demand (COD), and Total Organic Carbon (TOC). In certain samples, the parameters concentrations surpass the allowable limits defined by both WHO and ES. This is due to the increase in domestic and industrial wastewater discharge the stretch, as well as other harmful anthropogenic activities, and human interventions. GIS-based spatial analysis successfully identified vulnerable areas where groundwater contamination is most severe. Elevated levels of TDS, COD, and TOC were found in several locations, posing risks for domestic use and irrigation. The Piper diagram analysis indicated that the predominant water type is calcium-chloride-bicarbonate, suggesting groundwater is influenced by precipitation and water–rock interactions with carbonate rocks. The Water Quality Index (WQI) analysis was applied, showing that the northern part near the New Assiut Barrage (samples 10 and 11) exhibits a high degree of contamination, making the water unsuitable for drinking according to WHO and Egyptian standards. The findings of this study could help the policymakers to take the suitable action to protect people and animals’ health form contaminated water.
Individual ambidexterity and management controls: a systematic literature review
Authors: Burkert Michael , Grossrieder Sven 
Published: February 2025

Abstract
According to Merchant and Van der Stede (Management control systems: performance measurement, evaluation and incentives, Pearson Education Limited, Harlow, 2012), top managers use management controls in order to increase the likelihood that employees act in the best interest of the organization. Nowadays, more and more companies expect their employees to perform well on exploitation and exploration at the same time. This is referred to as individual ambidexterity (e.g., Mom et al. in J Manag 45:3009–3034, 2019. https://doi.org/10.1177/0149206318776775). Due to the increasing importance of the topic, the main purpose of the present article is to review findings from top tier management journals and to summarize implications for result, action, and personnel/cultural controls. We apply a structured approach to detect the most relevant studies for our examination and search for ambidexterity and ambidextrous in title, abstract, and keywords. The final sample consists of 56 articles published in top tier management journals including all subfields. In the first step, we provide an overview of both methods and theories used to study individual ambidexterity. In a second step, we summarize and analyze the insights on how organizations can use results, action, and personnel/cultural controls to enable individuals to achieve higher ambidextrous performance. In the final step, we highlight directions for future research and hope to motivate more research from scholars of the management accounting field to address this topic of relevance.
Metacognition research in education: topic modeling and bibliometrics
Authors: Chen Xieling , Li Xinyue , Zou Di , Xie Haoran , Wang Fu Lee 
Published: February 2025

Abstract
Metacognition, which involves the deliberate awareness and analysis of one’s own learning and thought processes, has gained significant traction among educational researchers. The burgeoning volume of metacognition studies underscores the importance of examining its current status and evolving trends. Leveraging topic modeling and bibliometrics on a dataset comprising 2568 papers spanning from 2000 to 2023, this study seeks to address questions like “What are the prevailing research themes in metacognition?” and “How has the level of research attention to these themes evolved over time?” This study also scrutinizes major journals, countries/regions, academic institutions, and collaborative networks, presenting a visual representation of their interconnections. Considering the analyses conducted, this study proffers several recommendations for the future of metacognition research. Firstly, it suggests the integration of metacognitive instruction, assessment, and feedback mechanisms into various educational domains, encompassing design, healthcare, language, teacher training, as well as special and early childhood education. Secondly, it advocates for the exploration and utilization of diverse metacognitive instructional strategies and analytics technologies to effectively bolster students’ metacognitive processes. Lastly, it underscores the significance of interdisciplinary collaborations between metacognition experts, educators, psychologists, computer scientists, and data scientists. Such collaborative efforts are envisioned to harness the potentials of big data and learning analytics technologies to inform pedagogical practices that nurture metacognitive skills. This study offers a comprehensive overview of metacognition research in the realm of education, shedding light on emerging trends in metacognitive instructional practices and providing valuable insights for charting the course of future investigations in this field.
Measuring Regional Variations in US Population-Level Health-Related Quality of Life During COVID-19 Using the EQ-5D-5L
Authors: Zawadzki Nadine K. , Xie Feng , Seabury Seth A. , Romley John A. , Fox D. Steven , Gong Cynthia L. , Zawadzki Roy S. , Jiao Xiayu , Gu Ning Yan 
Published: February 2025

Abstract
Regional variations in coronavirus disease 2019 (COVID-19) suggest non-uniform impacts on health-related quality-of-life (HRQoL) across the US. This study measured regional variations in US population-level HRQoL during COVID-19. HRQoL was measured by the EQ-5D-5L in a three-wave cross-sectional online survey (spring 2020, summer 2020, winter 2021). Adjusted likelihood of any problems in EQ-5D-5L domains and adjusted mean utility and EQ-VAS were estimated and compared between US Census Bureau-designated region-divisions and waves. Regional variations were significant (p < 0.05) in all domains except Pain/Discomfort in spring 2020, Mobility in summer 2020, and Anxiety/Depression in winter 2021. In spring 2020, East South Central (ESC) had the most Mobility (38%) and Usual Activities (66%) problems, while Self-Care problems were greatest in Mountain (53%), and Anxiety/Depression greatest in East North Central (ENC, 72%) and West North Central (80%). In summer 2020, Self-Care problems were again greatest in Mountain (62%), while ENC saw the most Usual Activities (69%), Pain/Discomfort (67%), and Anxiety/Depression (83%) problems. By winter 2021, ESC had the most problems in Mobility (52%), Self-Care (79%), and Pain/Discomfort (79%), with Usual Activities (68%) only second to Middle Atlantic (69%). Both mean utility and EQ-VAS were significantly lowest in ESC in spring 2020 and winter 2021. Otherwise, utility and EQ-VAS trends generally disagreed. HRQoL varied considerably across regions, often worst in ESC. Variation was likely driven by multiple factors including case rates, policies, and preexisting vulnerabilities; these relationships should be explored in future research. Findings support the need for region-specific health interventions.
Gamification in Higher Education: A Case Study in Educational Sciences
Authors: Alonso-Sánchez José Alexis , Alonso Juan L Núñez , Santana-Monagas Elisa 
Published: February 2025

Abstract
Teachers are generally focused on optimizing the teaching–learning process and fostering high levels of student engagement, participation, and motivation. To address this challenge, this work presents a gamification experience implemented to teach content related to family involvement and educational programs in two courses —one at master’s degree and the other at bachelor’s degree level. A total of 354 students participated in the study and shared their perceptions regarding their learning, academic performance, participation, and motivation in relation to the gamification experience. The results indicate that students perceive the gamification experience as having a positive impact on all four areas. They expressed a preference for studying the subject through gamification rather than traditional methods. This paper highlights an experience that generates positive perceptions among students and encourages higher education instructors to incorporate gamification into their teaching methods and classroom dynamics.
Developing Systemic Thinking Skills: Design-Based Research of One-Page Tools for Public Managers
Authors: Regenold Tracey A. , Murphy Sheila E. , Reed Philip A. 
Published: February 2025

Abstract
A design-based research study on the development of one-page tools to support systemic thinking in public managers is presented. Study participants included public managers of social and human service agencies within government or nonprofit organizations, as learners for whom the tools were designed; and instructional design professionals, offering expert opinions regarding the design of tools for adult learners. The design process consisted of generating ideas, visualizing ideas and developing prototypes of the tools. Formative assessments of tool prototypes were conducted in several small online focus groups, sharing specific tools to be used within the context of specific management practices, such as collaboration, culture development or evaluation of the organization as a system. In this article, we discuss the context surrounding our designs, the process used to design systemic thinking tools, experiences of a one-page tool design using design stories and lessons learned from design failures encountered during formative assessment. This study contributes to the body of educational design research by emphasizing the large learning gains achieved through the design of simple one-page tools.