bluuebunny/crossref_metadata_2025_split huggingface dataset:
Soil Organic Carbon Fractionation Assessment in Areas with High Fire Activity Using Diffuse Spectroscopy and Tree-Based Machine Learning Algorithms
Authors: Salgado Lorena , Forján Rubén , Rodríguez-Pérez José Ramón , Colina Arturo , Mejía-Correal Karen B. , López-Sánchez Carlos A. , Gallego José Luis R. 
Published: January 2025

AbstractWildfires have a significant impact on Soil Organic Carbon (SOC) content and fractionation. Here we used Diffuse Reflectance Spectroscopy (DRS) and Machine Learning (ML) algorithms, particularly decision tree-based ones, to assess post-wildfire changes in labile, removable, and recalcitrant SOC fractions across six distinct areas with varying wildfire recurrence levels. Once spectral data had been acquired by DRS, the transformation of raw data through first and second derivatives enhanced the resolution of the measurements. In addition, Quantile Random Forest (QRF) emerged as the best algorithm to optimize unbiased models, with a notable goodness-of-fit. However, while QRF excelled in predicting recalcitrant C, it yielded slightly lower precision for the most labile C fraction (cold-water extracted C), with R2 and rRMSE (%) ranging from 0.62 to 0.83 and from 78.70 to 7.99, respectively, accompanied in both cases by acceptable RPD statistics. Moreover, the study underscored the importance of the NIR spectral range in accurately predicting SOC fractions. Moreover, our findings highlighted specific spectral regions related to clay content and organic C features, which are crucial for understanding post-wildfire SOC dynamics and useful for future determinations by remote sensing (drone, satellite).
The Affordances of Pragmatism for a Postdigital Citizen Social Science
Authors: Connor Stuart 
Published: January 2025

AbstractIn efforts to inform a postdigital citizen social science, this paper argues that the traditions of pragmatism are a rich resource for enacting a postdigital citizen social science’s commitment to dialogue and collaboration. Claims as to the value of pragmatism for informing a postdigital citizen social science are rehearsed and assessed through an extension of the Human Data Interaction framework to an engagement with the ‘small’ data and associated regimes that constitute a global governing complex in education. A datafication of education policy and practice offers an unprecedented challenge and opportunity for a postdigital citizen social science, to not only contend and reconfigure the forms and functions of data regimes but also seek to (re)open a neglected epistemological terrain for exploring how data could and should be used to inform education policy and practice. It is asserted that an encounter between pragmatism and a postdigital citizen social science practice, affirms and enriches efforts to enact dialogue with diverse publics, with the aim of generating actionable insights, where what works is itself, a question open to scrutiny and revision.
Reliable and Cost-Effective Fuzzy-Based Cloud Broker
Authors: Sekhi Ihab Razzaq , Abdah Hadeel , Nehéz Károly 
Published: January 2025

AbstractDue to the rapid increase in cloud service providers, users are finding it challenging to select a cloud service that suits their needs and budget. Thus, it is more crucial than ever to have an intermediate entity between the two in the form of cloud brokerage services. This broker is responsible for meeting the user’s needs while considering the interests of cloud service providers. To accomplish these goals, the cloud broker should be thoughtfully designed. In this paper, we present a fuzzy logic-based cloud brokerage technique that helps users select the right cloud service instance, considering both their needs and the service characteristics. To demonstrate the feasibility of the suggested technique, we investigate multiple scenarios and closely examine the outcomes. The simulation results prove that our approach outperforms conventional methods in guaranteeing better service quality at a reduced cost for immobile users, and can offer mobile users affordable and consistent quality services when service migration is implemented.
Research on biomass energy and CO2 conversion to methanol: a combination of conventional and bibliometric review analysis
Authors: Agyekum Ephraim Bonah , Okonkwo Paul C. , Rashid Farhan Lafta 
Published: January 2025

AbstractThe use of methanol as a chemical precursor and fuel additive has increased recently on a global scale. Hence, this study combined bibliometric and traditional review methods to assess the recent trends and evolution of methanol production, as well as its use. According to the study, producing methanol on a large scale from renewable sources is still hampered by the immature technologies used in its production. For instance, methanol production via the process of biochemical conversion still remains at the laboratory level even though it has proven to be a promising production option. Cu-based catalysts, especially Cu-Zn-based catalysts, were found to be the most frequently used catalysts for the hydrogenation of CO2 to methanol due to their superior activity. The bibliometric study shows an annual growth rate of 3.63% in research within the last decade, with 867 authors involved. China leads globally in methanol production and consumption research. The highest collaboration occurred between China and the United States of America with a frequency of six. The study proposed future research directions, including the evaluation of the environmental impact of CO2 conversion to methanol, focusing on the entire life cycle, comparing approaches, and streamlining procedures. It is also recommended to conduct research on flow chemistry and novel reactor designs that enhance mass and heat transfer in catalytic reactors.
Graphical Abstract
Evaluating the impact of clinical and translational pilot funding using multiple outcome metrics
Authors: Philibert Ingrid , Batson Angela , Fletcher Amanda 
Published: January 2025

Abstract
NIH/NIGMS-funded IDeA-Clinical and Translational Research (CTR) networks seek to expand translational research infrastructure to support research that has at its endpoints measurable clinical, public health, technological, or economic benefits. This retrospective case study followed 14 projects that received Pilot funding from the Great Plains IDeA-CTR (GP IDeA-CTR) at the University of Nebraska Medical Center. It focuses on the impact of pilot funding and GP IDeA-CTR resources on subsequent clinical and translational research. Metrics include extramural awards, lessons learned that relate to clinical and translational research infrastructure, and demonstrated and potential benefits using the Translational Science Benefits Model (TSBM).
Adenosinergic Signalling in Cervical Cancer Microenvironment
Authors: Iser Isabele Cristiana , Bertoni Ana Paula Santin , Beckenkamp Liziane Raquel , Consolaro Marcia Edilaine Lopes , Maria-Engler Silvya Stuchi , Wink Marcia Rosângela 
Published: January 2025

Abstract
Despite the emergence of the first human papillomavirus vaccine, the incidence of cervical cancer is still responsible for more than 350,000 deaths yearly. Over the past decade, ecto-5′-nucleotidase (CD73/5′-NT) and extracellular adenosine (ADO) signalling has been the subject of many investigations to target cancer progression. In general, the adenosinergic axis has been linked to tumourigenic effects. However, CD73 can play contradictory effects, probably dependent on the tumour type, tumour microenvironment and tumour stage, thus being in some circumstances, inversely related to tumour progression. We herein reviewed the pathophysiological function of CD73 in cervical cancer and performed in silico analysis of the main components of the adenosinergic signalling in human tissues of cervical cancer compared to non-tumour cervix tissue. Our data showed that the NT5E gene, that encoded CD73, is hypermethylated, leading to a decreased CD73 expression in cervical cancer cells compared to normal cells. Consequently, the high availability of ADO cytoplasmatic/extracellular leads to its conversion to AMP by ADK, culminating in global hypermethylation. Therefore, epigenetic modulation may reveal a new role for CD73 in cervical cancer.
The Search for Our Bayard: 1987–2013
Authors: Lee Marcus 
Published: January 2025

AbstractThis study charts Bayard Rustin’s contentious career as a biographical subject, from 1987 to 2013. Interpreting biographies of Rustin as “ethically constitutive stories,” I argue that shifting accounts of his life-history address public debates over issue definition and political conduct in the wake of the Civil Rights Movement. At stake in rival portrayals of Rustin, then, is not just memory of him but the very idea of civil rights, including how and by whom such rights were—and ought to be—pursued. The article examines the production and reception of two distinct waves of biographical representation, with close attention to how each narrates the pursuit and proper locus of civil rights. I end with notes toward an alternate rendering of Bayard Rustin. Instead of recovering his singular authority vis-à-vis the Civil Rights Movement, the concluding “story” reckons with the manifold history of black politics by reappraising the specificity of “black and gay” peoplehood.
Infants of diabetic mothers: epidemiology, pathophysiology, fetal heartassessment, structural and functional heart consequences: A narrative review
Authors: Shati Ayed A. , Mahmood Syed E. , Alqahtani Youssef A. , Al-Qahtani Saleh M. , Bushari Tajudeen M. , Parvez Ashib 
Published: January 2025

AbstractInfants of diabetic mothers are neonates born to a woman who had periodic hyperglycaemia during pregnancy. Consequently, infants of diabetic mothers are at higher risks of illness besides morbidity and mortality due to teratogenic effects on the fetal cardiovascular system, causing most frequent CHDs. The primary purpose of this review is to present, on this topic, a better-comprehended review covering pertinent material and data to be informed of severe risks to a newborn’s cardiac system and function. These conditions can affect maternal, fetal, neonatal, and future adult health. Further research should be addressed towards the early detection of diabetes, its magnitude, and management. Immediate interventions should be proposed to lessen the diabetes burden and its adversative effects during the prenatal period.
KLF5 loss sensitizes cells to ATR inhibition and is synthetic lethal with ARID1A deficiency
Authors: Awwad Samah W. , Doyle Colm , Coulthard Josie , Bader Aldo S. , Gueorguieva Nadia , Lam Simon , Gupta Vipul , Belotserkovskaya Rimma , Tran Tuan-Anh , Balasubramanian Shankar , Jackson Stephen P. 
Published: January 2025

AbstractATR plays key roles in cellular responses to DNA damage and replication stress, a pervasive feature of cancer cells. ATR inhibitors (ATRi) are in clinical development for treating various cancers, including those with high replication stress, such as is elicited by ARID1A deficiency, but the cellular mechanisms that determine ATRi efficacy in such backgrounds are unclear. Here, we have conducted unbiased genome-scale CRISPR screens in ARID1A-deficient and proficient cells treated with ATRi. We found that loss of transcription factor KLF5 has severe negative impact on fitness of ARID1A-deficient cells while hypersensitising ARID1A-proficient cells to ATRi. KLF5 loss induced replication stress, DNA damage, increased DNA-RNA hybrid formation, and genomic instability upon ATR inhibition. Mechanistically, we show that KLF5 protects cells from replication stress, at least in part through regulating BRD4 recruitment to chromatin. Overall, our work identifies KLF5 as a potential target for eradicating ARID1A-deficient cancers.
Stable antivortices in multiferroic ε-Fe2O3 with the coalescence of misaligned grains
Authors: Xue Wuhong , Wang Tao , Yang Huali , Zhang Huanhuan , Dai Guohong , Zhang Sheng , Yang Ruilong , Quan Zhiyong , Li Run-Wei , Tang Jin , Song Cheng , Xu Xiaohong 
Published: January 2025

AbstractAntivortices have potential applications in future nano-functional devices, yet the formation of isolated antivortices traditionally requires nanoscale dimensions and near-zero magnetocrystalline anisotropy, limiting their broader application. Here, we propose an approach to forming antivortices in multiferroic ε-Fe2O3 with the coalescence of misaligned grains. By leveraging misaligned crystal domains, the large magnetocrystalline anisotropy energy is counterbalanced, thereby stabilizing the ground state of the antivortex. This method overcomes the traditional difficulty of observing isolated antivortices in micron-sized samples. Stable isolated antivortices were observed in truncated triangular multiferroic ε-Fe2O3 polycrystals ranging from 2.9 to 16.7 µm. Furthermore, the unpredictability of the polarity of the core was utilized as a source of entropy for designing physically unclonable functions. Our findings expand the range of antivortex materials into the multiferroic perovskite oxides and provide a potential opportunity for ferroelectric polarization control of antivortices.
Nonlinear valley selection rules and all-optical probe of broken time-reversal symmetry in monolayer WSe2
Authors: Herrmann Paul , Klimmer Sebastian , Lettau Thomas , Weickhardt Till , Papavasileiou Anastasios , Mosina Kseniia , Sofer Zdeněk , Paradisanos Ioannis , Kartashov Daniil , Wilhelm Jan , Soavi Giancarlo 
Published: January 2025

AbstractIn monolayer transition metal dichalcogenides, time-reversal symmetry—combined with broken space-inversion symmetry—defines the spin–valley degree of freedom. As such, the engineering and control of time-reversal symmetry by optical or magnetic fields constitutes the foundation of valleytronics. Here we propose a new approach for the detection of broken time-reversal symmetry and valley imbalance in monolayer WSe2 based on second-harmonic generation. At room temperature, our method can selectively probe a net valley imbalance generated by ultrafast, coherent and valley-exclusive optical Stark and Bloch–Siegert effects. This work demonstrates the potential and unique capabilities of nonlinear optics as a probe of broken time-reversal symmetry as well as a tool for ultrafast and non-destructive valleytronic operations.
LEGO-Lipophosphonoxin membrane activity is enhanced by presence of phosphatidylethanolamine but hindered by outer membrane
Authors: Brzobohatá Hana , Dugić Milica , Mojr Viktor , Sahatsapan Nitjawan , Kóšiová Ivana , Křížek Tomáš , Dolejšová Tereza , Lišková Petra , Cwiklik Lukasz , Rejman Dominik , Fišer Radovan , Mikušová Gabriela 
Published: January 2025

AbstractFinding effective antibiotics against multi-resistant strains of bacteria has been a challenging race. Linker-Evolved-Group-Optimized-Lipophosphonoxins (LEGO-LPPOs) are small modular synthetic antibacterial compounds targeting the cytoplasmic membrane. Here we focused on understanding the reasons for the variable efficacy of selected LEGO-LPPOs (LEGO-1, LEGO-2, LEGO-3, and LEGO-4) differing in hydrophobic and linker module structure and length. LEGO-1–4 permeabilized cytoplasmic membrane of Staphylococcus aureus, Bacillus subtilis, Pseudomonas aeruginosa, and Escherichia coli, LEGO-1 with the longest linker module being the most effective. Gram-positive bacteria were more sensitive to LEGO-LPPO action compared to Gram-negatives, which was manifested as a delayed membrane permeabilization, higher minimal inhibitory concentration and lower amount of LEGO-LPPO bound to the cells. Outer membrane permeability measurements and time-kill assay showed that presence of the intact outer membrane brought about reduced susceptibility of Gram-negatives. Using liposome leakage and in silico simulations, we showed that membranes with major content of phosphatidylethanolamine were more prone to LEGO-LPPO permeabilization. The proposed mechanism stems from an electrostatic repulsion between highly positively charged LEGO-1 molecules and positively charged amino groups of phosphatidylethanolamine which destabilizes the membrane. Collectively, these data suggest that LEGO-LPPO membrane activity is enhanced by presence of phosphatidylethanolamine but hindered by presence of intact outer membrane.
Identification of key elements in MRI reporting of intracranial meningiomas based on a nationwide survey of clinical experts in Germany
Authors: Huckhagel Torge , Abboud Tammam , Regelsberger Jan , Rieken Stefan , Riedel Christian 
Published: January 2025

AbstractWhile MRI has become the imaging modality of choice for intracranial meningiomas, no radiologic reporting guidance exists to date that relies on a systematic collection of information relevant to the core medical disciplines involved in the management of these patients. To address this issue, a nationwide expert survey was conducted in Germany. A literature-based catalog of potential reporting elements for MRI examinations of meningioma patients was developed interdisciplinarily. Subsequently, all board-certified members of the German Societies of Neuroradiology, Neurosurgery and Radiation Oncology with expertise in managing meningioma patients were invited to vote on the relevance of the suggested items via online survey. A total of 150 experts participated in the study (104 neurosurgeons/radiation oncologists, 46 neuroradiologists). The reporting elements of tumor location, extent, growth pattern, contrast uptake, associated cysts, and impact on adjacent anatomic structures received widespread approval (> 75.0% of all participants). In addition, a vast majority (> 75.0%) supported reference to perifocal edema, signs of mass effect, and hydrocephalus. Postoperative imaging is particularly requested to describe the extent of resection (94.0%) and treatment-related changes (89.3%). Advanced methods (diffusion, perfusion, proton spectroscopy) and meningioma-specific classifications (Nauta, Zee, Sindou) were judged to be less relevant (< 50.0% agreement) to MRI reporting. To serve as a vital clinical communication tool and enable an optimal contribution to the care of meningioma patients, the radiological report should focus on the fundamental information requirements of the neuro-oncology treatment team encompassing primarily tumor location, extent, tissue imaging characteristics, and potential impairment of neighboring anatomical structures.
Multi-objective optimization and algorithmic evaluation for EMS in a HRES integrating PV, wind, and backup storage
Authors: Shaier Ahmed A. , Elymany Mahmoud M. , Enany Mohamed A. , Elsonbaty Nadia A. 
Published: January 2025

Abstract This manuscript focuses on optimizing a Hybrid Renewable Energy System (HRES) that integrates photovoltaic (PV) panels, wind turbines (WT), and various energy storage systems (ESS), including batteries, supercapacitors (SCs), and hydrogen storage. The system uses a multi-objective optimization strategy to balance power management, aiming to minimize costs and reduce the likelihood of loss of power supply probability (LPSP). Seven different algorithms are assessed to identify the most efficient one for achieving these objectives, with the goal of selecting the algorithm that best balances cost efficiency and system performance. The system is assessed across three operational scenarios: (1) when energy supply meets demand with help from backup systems, (2) when demand exceeds supply and energy storage systems are depleted, and (3) when energy generation surpasses demand and storage systems are full. The HBA-based optimization effectively manages energy flow and storage, ensuring grid stability and minimizing overcharging risks. This system offers a reliable and sustainable power supply for isolated microgrids, effectively managing energy production, storage, and distribution. The research sets a new benchmark for future studies in decentralized energy systems, particularly in balancing technical efficiency and economic feasibility.
Improved properties of hybrid Al-CNTs via h-BNs coated with ag and ni for ball bearings
Authors: Barakat Waheed S. , Samir Ahmed , Elkady Omayma A. , Abu-Okail Mohamed , Mohamed Abdelkarim Y. A. , EL-Nikhaily A. , Abu-Oqail A. M. I. 
Published: January 2025

AbstractBall bearings face numerous challenges under harsh operating conditions of elevated pressure between the balls and other contacting parts of the bearing like drop in tribological properties. To address these challenges, this paper presents the first successful experimental investigation of incorporating an innovative hexagonal boron nitride (h-BN) into Aluminum-Carbon nanotube (Al-0.6 wt% CNTs) nanocomposites. This was achieved using electroless chemical deposition technique to coat the materials with silver (Ag) and nickel (Ni), improving the wettability and dispersion between the matrix and reinforcement. Various h-BN ratios (2, 4, 6, 8 and 10 wt%) are incorporated and consolidated through high-energy ball milling and hot compaction techniques. The produced samples were tested and analyzed physically, mechanically, tribologically, and microstructurally. X-ray diffraction (XRD) and scanning electron microscope (SEM) analyses were used to explore the new morphologies and structures. The study delves into density, hardness, and wear resistance. The optimal h-BN content is determined to be 8 wt%, enhancing wettability and dispersion within the Al-CNTs matrix. Thus, the properties of hardness, compressive strength, wear rate, and COF at 8 wt% of h-BN content were enhanced by 105%, 60%, 74.5%, and 78.5%, respectively, compared to pure Al. This is due to the uniform scattering of h-BN nanoparticles across the entire surface, despite a significant decrease in relative density. In conclusion, the combination of mechanical alloying, electroless deposition, and hot compaction techniques proves to be effective in producing Al-CNTs/h-BN nanocomposites coated with Ag and Ni nanoparticles.
Higher spatial resolution is not always better: evaluating satellite-sensed sea surface temperature products for a west Pacific coral reef system
Authors: Lachs Liam , Donner Simon , Edwards Alasdair J. , Golbuu Yimnang , Guest James 
Published: January 2025

AbstractAs marine heatwaves and mass coral bleaching events rise in frequency and severity, there is an increasing need for high-resolution satellite products that accurately predict reef thermal environments over large spatio-temporal scales. Deciding which global sea surface temperature (SST) dataset to use for research or management depends in part on the desired spatial resolution. Here, we evaluate two SST datasets – the lower-resolution CoralTemp v3.1 (0.05° ~ 5 km grid) and the Multiscale Ultra-high Resolution MUR v4.1 (0.01° ~ 1 km grid) – in their ability to predict in situ reef thermal environments (nightly mean and daily maximum) and the severity of past bleaching in Palau, western Pacific Ocean. We expected higher-resolution data to improve prediction accuracy, yet CoralTemp data explained 10% additional variability of in situ temperatures and 70% additional variance in past bleaching. This likely relates to differential data protocols; despite MUR using a higher spatial resolution grid, CoralTemp achieves higher raw satellite observation density in coastal areas by utilising geostationary satellites. MUR SSTs were also consistently more variable. These results reinforce calls to develop more accurate high-resolution SST products for coral reefs. Our paper demonstrates that higher spatial resolution SST data is not necessarily better at predicting in situ thermal environments of coral reefs and local marine heatwave impacts.