bluuebunny/crossref_metadata_2025_split huggingface dataset:
Transforming precision medicine: The potential of the clinical artificial intelligent single‐cell framework
Authors: Baumgartner Christian , Brislinger Dagmar 
Published: January 2025

AbstractThe editorial, “Clinical and translational mode of single‐cell measurements: An artificial intelligent single‐cell,” introduces the innovative clinical artificial intelligence single‐cell (caiSC) system, which merges AI with single‐cell informatics to advance real‐time diagnostics, disease monitoring, and treatment prediction. By combining clinical data and multimodal molecular inputs, caiSC facilitates personalized medicine, promising enhanced diagnostic precision and tailored therapeutic approaches. Despite its potential, caiSC lacks comprehensive data coverage across cell types and diseases, presenting challenges in data quality and model robustness. The article explores development strategies such as data expansion, machine learning advancements, and interpretability improvements. Future applications of caiSC could include digital cell twins, offering in‐depth simulations of cellular behavior to support drug discovery and personalized treatments. Regulatory considerations are discussed, underscoring the need for SaMD/AIaMD certifications for clinical use. Ultimately, with further refinement, caiSC could transform clinical decision‐making, driving personalized, precision medicine, and improved patient outcomes.Key points
Integration of AI with Single‐Cell Informatics for Precision Medicine: The caiSC system combines artificial intelligence and single‐cell data to improve diagnostics, treatment predictions, and personalized medical decision‐making.
Challenges in Data Coverage and Model Robustness: caiSC currently faces limitations due to incomplete data across cell types, diseases, and organs, as well as challenges in data quality and high computational demands, which affect model accuracy and clinical applicability.
Future Potential and Regulatory Needs: The caiSC framework's development could lead to innovations such as digital cell twins, enabling personalized simulations of cellular responses for better treatment planning, though regulatory certification is essential for safe clinical use.
A New Oxygen Carrier for Therapeutic Applications
Authors: Barrou Benoit , Leize‐Zal Elisabeth , Zal Franck 
Published: January 2025

ABSTRACTThe natural extracellular hemoglobin of the lugworm Arenicola marina (AmHb) has many interesting characteristics: It carries 40 times more oxygen than human hemoglobin; has anti‐inflammatory, antibacterial, and antioxidant properties; and is 250 times smaller than a red blood cell. It is nontoxic and nonimmunogenic. It is thus a very promising hemoglobin‐based oxygen carrier. AmHb is extracted and purified in GMP conditions to produce a therapeutic molecule, called M101. It is used in various forms (liquid, hydrogel, and lyophilized) to respond to different situations of hypoxia in the healthcare field, such as organ preservation prior to transplantation, wound and burn healing, periodontitis, sickle cell disease, and red blood cell transfusions, particularly in emergency situations. Given these remarkable oxygen transport capacities, M101 could be misused for doping purposes. This article presents current and future developments in this molecule.
Free Pasture of Exotic Goats Reduces Diversity and Negatively Affects Body Condition in Scorpions (Arachnida: Scorpiones) Assemblage From Brazilian Seasonal Dry Tropical Forest
Authors: Brito‐Almeida Thayna Rhayane , Foerster Stênio Ítalo Araújo , Lima José Rivaldo , da Silva Meykson Alexandre , de Moura Geraldo Jorge Barbosa , de Araujo Lira André Felipe 
Published: January 2025

ABSTRACTExtensive grazing carried out freely by exotic goats represents an important source of anthropogenic degradation in seasonally dry tropical forests of Brazil. The presence of these herbivores may negatively impact the local fauna through the reduction of habitat complexity. In this study, we investigate the effect of goat farming in scorpion assemblage from Brazilian seasonally dry tropical forest. Scorpions were sampled in 36 areas (18 disturbed and 18 undisturbed) distributed in three sites in the seasonally dry tropical forest of Brazil. At each location, we recorded a set of local variables such as litter depth, diameter at breast height of trees, vegetation density (trees and shrubs), and detritus (stones and fallen logs). In total, 396 scorpions were collected, distributed across six species and two families. Our results showed that scorpion diversity was negatively affected, with species richness and abundance reduced in areas influenced by goats. Furthermore, in these sites, the composition of the species was also affected, with habitat‐generalist species favoring habitat‐specialist species. Finally, sites with free pasture of goats presented scorpions with reduced body condition (body mass and size) than sites without goats. Furthermore, habitat degradation caused by free pasture of goats negatively affects the assemblage of scorpions in terms of their diversity and body condition the seasonally dry tropical forest of Brazil.
The use of individualised, media‐based sleep hygiene education for professional female footballers
Authors: Gooderick Julie , Clash Russ , Fisher Harry , Maxwell Neil , Hayes Mark 
Published: January 2025

AbstractSleep hygiene can be defined as practicing habits that facilitate sleep; poor sleep hygiene is common among elite athletes, and improving this can be one way to enhance sleep indices. Given the large inter‐individual variability of sleep, there is a need for further investigation into individualised sleep hygiene for elite female athletes, with consideration for the practical application of the method. Using a self‐controlled time series design with repeated measures, n = 16 professional female footballers completed a 9‐week study during mid‐season. Monitoring of sleep (actigraphy, self‐report) occurred at week 1, 4, 7 and 9—a control period occurred at week 2 and 3, and a subsequent intervention period occurred at weeks 5 and 6. Based on baseline sleep monitoring, media‐based messages were designed with the purpose of giving a singular sleep hygiene message; all participants received these individualised messages daily across the 2‐week intervention period at a standardised time of 8.00 p.m., with the intention of them actioning the sleep hygiene point. One‐way analysis of variance with repeated measures was conducted to assess the differences between control period, intervention period and follow‐up for each measured variable. Significant differences were observed post‐intervention for sleep efficiency (p < 0.001) and sleep latency (p < 0.001), whereas the athlete sleep behaviour questionnaire score significantly improved in the follow‐up period (week 9) post intervention (p = 0.039). This is the first study to present this novel method of individualised sleep hygiene education for elite female athletes and is also the first study to demonstrate the use of sleep hygiene interventions to improve sleep factors for female athletes' mid‐season. This demonstrates a promising, time‐efficient approach to sleep hygiene education, with a potentially wide scope of application, as well as demonstrating there is indeed potential for elite female athletes to gain sleep improvements mid‐season.
Tuning Proton Exchange Membrane Electrolytic Cell Performance by Conditioning Nafion N115‐Based Membrane Electrode Assemblies
Authors: Wolf Niklas , Javed Ali , Treutlein Leander , Kungl Hans , Karl André , Jodat Eva , Eichel Rüdiger‐A 
Published: January 2025

ABSTRACTConditioning of the membrane electrode assembly (MEA) is an important step to establish functionality and obtain a consistent performance of the proton exchange membrane electrolytic cell (PEMEC) when setting it into operation. On a laboratory scale in an academic context, conditioning encompasses primary pre‐treatment of the MEA by chemical or thermal procedures under defined mechanical conditions and, secondarily, the break‐in procedure, during which the PEMEC is subjected to initial electrical loads before actual operation. This study demonstrates the effect of MEA conditioning on the short‐term performance of PEMEC. The impact of mechanical, chemical and thermal conditions during pre‐treatment was investigated for Nafion N115‐based MEAs while keeping the break‐in procedure invariant for all pre‐treatment conditions. The electrochemical characterisation was performed using polarisation curves and electrochemical impedance spectroscopy. The impact of ex situ–before assembly of the cell–versus in situ–after assembly of the cell–conditioning resulted in markedly different mechanical conditions. The experimental results showed an improvement in PEMEC performance by pre‐treating the MEA after cell assembly. Compared to pre‐treatment with deionised water (DI water) at 60°C, treatment with acidic solution improved the performance, evidenced by a 21 mV reduction in cell voltage at 2 A·cm−2. When compared with DI water at 60°C, a pre‐treatment at 90°C with DI water reduced cell voltage by 23 mV.
Zn3(PO4)2·4H2O/TiO2 Structure for Superior Oxygen Evolution Reaction and Energy Storage Applications
Authors: Khan Mosin , Raj Ritu , Ram Mange , Rani Anju , Haldar Krishna Kanta 
Published: January 2025

ABSTRACTIn this study, we present the synthesis and characterization of a high‐performance Zn3(PO4)2·4H₂O/TiO2 nanocomposite, designed as a versatile electrocatalyst for advanced energy storage and conversion applications. The synthesis of the Zn3(PO4)2·4H₂O/TiO2 nanocomposite was confirmed using various sophisticated analytical techniques such as powder x‐ray diffraction, FTIR, UV spectroscopy, FESEM imaging, EDX, and XPS etc. Notably, the nanocomposite demonstrates exceptional performance in the oxygen evolution reaction (OER), with a low overpotential of 250 mV at a current density of 50 mV/cm2 and a Tafel slope of 129 mV/dec, indicating superior kinetics. Furthermore, it demonstrates a specific capacitance of 112 F/g at a scan rate of 20 mV/s and remarkable cyclic stability, retaining 91% capacitance over 1000 cycles in supercapacitor applications. Additionally, in a practical application, the nanocomposite successfully powered a red light‐emitting diode (LED) for 11 min. The combined effect of Zn3(PO4)2·4H₂O2 and TiO2 contributes to its outstanding electrochemical properties. This makes it a promising candidate for sustainable energy solutions, with the potential to enhance the efficiency and durability of energy storage and conversion systems.
Performance Analysis of Supercapacitors With Graphene and Graphyne Electrodes
Authors: de Araujo Chagas Henrique , Malaspina Thaciana , Fileti Eudes Eterno , Colherinhas Guilherme 
Published: January 2025

ABSTRACTGraphene and graphyne electrodes exhibit considerable relevance in electrochemical energy storage applications owing to their distinct physical and chemical characteristics. Graphyne has garnered increased attention due to its larger specific surface area, enhanced electronic mobility, and intrinsic band gap compared to graphene. Our analyses unveil pertinent aspects of graphyne electrodes in interaction with ionic liquid (Emim‐BF4) and aqueous salt (NaCl) solution based electrolytes. Despite the existing body of research on graphyne, there remains a gap in the comprehensive analysis of its performance as an electrode for supercapacitors and its interactions with electrolyte. In this investigation, molecular dynamics were employed to explore properties of graphene/graphyne electrodes based supercapacitors. The characteristics of the EDL are elucidated through structural and energetic analyses, while the capacitive performance of the devices is discussed in light of electrostatic properties, total capacitance, and storage energy density. Throughout the analysis, key differences and underlying similarities between the models are delineated.
Citronellol Induces Apoptosis via Differential Regulation of Caspase‐3, NF‐κB, and JAK2 Signaling Pathways in Glioblastoma Cell Line
Authors: Malik Muhammad Nasir Hayat , Ali Sufyan , Ali Amir , Alanzi Abdullah R. , Atif Muhammad , Alharbi Hattan A. , Wang Bowen , Raza Moosa , Maqbool Tahir , Anjum Irfan , Jahan Shah , Alshammari Saud O. , Solre Gideon F. B. 
Published: January 2025

ABSTRACTCitronellol (CT) is a naturally occurring lipophilic monoterpenoid which has shown anticancer effects in numerous cancerous cell lines. This study was, therefore, designed to examine CT's potential as an anticancer agent against glioblastoma (GBM). Network pharmacology analysis was employed to identify potential anticancer targets of CT. A comprehensive data mining was carried out to assess CT and GBM‐associated target genes. Protein–protein interaction network was constructed to identify hub genes and later GO and KEGG enrichment analysis was performed to elucidate the possible mechanism. Human glioblastoma cell line “SF767” was used to confirm in silico findings. MTT, crystal violet, and trypan blue assays were performed to assess the cytotoxic effects of various concentrations of CT. Subsequently, ELISA and qPCR were performed to analyze the effects of CT on proapoptotic and inflammatory mediators. In silico findings indicated that CT differentially regulated proapoptotic and inflammatory pathways by activating caspase‐3 and 8 and inhibiting nuclear factor‐kappa B (NF‐κB), tumor necrosis factor‐α, Janus kinase 2 (JAK2). Molecular docking also demonstrated strong binding affinities of CT with the above‐mentioned mediators when compared to 5‐fluorouracil or temozolomide. In SF767 cell line, CT displayed dose‐dependent cytotoxic and antioxidant effects, and upregulation of annexin‐V, caspase‐3, and 8 along with downregulation of inflammatory modulators. In a nutshell, it can be concluded from these findings that CT possesses robust anticancer activity which is mediated via differential regulation of caspase‐3, JAK2, and NF‐κB pathways.
Fast and interpretable support vector classification based on the truncated ANOVA decomposition
Authors: Akhalaya Kseniya , Nestler Franziska , Potts Daniel 
Published: January 2025

AbstractSupport vector machines (SVMs) are an important tool for performing classification on scattered data, where one usually has to deal with many data points in high‐dimensional spaces. We propose solving SVMs in primal form using feature maps based on trigonometric functions or wavelets. In small dimensional settings the fast Fourier transform (FFT) and related methods are a powerful tool in order to deal with the considered basis functions. For growing dimensions the classical FFT‐based methods become inefficient due to the curse of dimensionality. Therefore, we restrict ourselves to multivariate basis functions, each of which only depends on a small number of dimensions. This is motivated by the well‐known sparsity of effects and recent results regarding the reconstruction of functions from scattered data in terms of truncated analysis of variance (ANOVA) decompositions, which makes the resulting model even interpretable in terms of importance of the features as well as their couplings. The usage of small superposition dimensions has the consequence that the computational effort no longer grows exponentially but only polynomially with respect to the dimension. In order to enforce sparsity regarding the basis coefficients, we use the frequently applied ‐norm and, in addition, ‐norm regularization. The found classifying function, which is the linear combination of basis functions, and its variance can then be analyzed in terms of the classical ANOVA decomposition of functions. Based on numerical examples we show that we are able to recover the signum of a function that perfectly fits our model assumptions. Furthermore, we perform classification on different artificial and real‐world data sets. We obtain better results with ‐norm regularization, both in terms of accuracy and clarity of interpretability.
Gestational Duration and Postnatal Age‐Related Changes in Aperiodic and Periodic Parameters in Neonatal and Toddler Electroencephalogram (EEG)
Authors: Luotonen Silja , Railo Henry , Acosta Henriette , Huotilainen Minna , Lavonius Maria , Karlsson Linnea , Karlsson Hasse , Tuulari Jetro J. 
Published: January 2025

ABSTRACTThe brain develops most rapidly during pregnancy and early neonatal months. While prior electrophysiological studies have shown that aperiodic brain activity undergoes changes across infancy to adulthood, the role of gestational duration in aperiodic and periodic activity remains unknown. In this study, we aimed to bridge this gap by examining the associations between gestational duration and aperiodic and periodic activity in the EEG power spectrum in both neonates and toddlers. This cross‐sectional study involved EEG data from 73 neonates (postnatal age 1–5 days, 40 females) and 56 toddlers (postnatal age of 2.9–3.2 years, 28 females) from the FinnBrain Birth Cohort Study. EEG power spectra were parameterized to aperiodic and periodic components using the SpecParam tool. We tested the associations between gestational duration as well as postnatal age and SpecParam parameters in neonates and toddlers while including birth weight and child sex as covariates. For neonates, multilevel models were employed, considering different data acquisitions (sleep and auditory paradigm + sleep), while in toddlers, regression models were used as only data from the auditory paradigm was available. We found that longer gestational duration was associated with a steeper power spectrum across EEG frequencies both in neonates and toddlers. Effect was especially strong in toddlers (β = 0.45, p = 0.004), while in neonates, it remained nearly statistically significant (p = 0.061). In neonates, a quadratic association between gestational duration and beta center frequency (12.5–30 Hz) was found. In toddlers, beta center frequencies were overall higher in females compared to males. Offset (calculated as the power of the aperiodic curve at 2.5 Hz) and theta center frequency had negative associations with postnatal age in neonates, but not in toddlers.Our results suggest that gestational duration may have significant and relatively long‐lasting effects on brain physiology. The possible behavioral and cognitive consequences of these changes are enticing topics for future research.
The Impact of Selected Regimens of Chronic HIV‐Antiretroviral Treatment on Glycemic Control Markers and Correlates: A Systematic Review and Meta‐Analysis Protocol
Authors: Gamede Mlindeli , Sosibo Mbulelo Aubrey , Gumede Nontobeko , Luvuno Mluleki 
Published: January 2025

ABSTRACTBackground and AimDiabetes mellitus is one of the leading causes of morbidity and mortality among non‐communicable diseases worldwide. The etiology of diabetes can be mainly attributed to factors such as genetic susceptibility, unhealthy diets, and chronic medications. Chronic medications such as HIV‐antiretrovirals (ARVs) have been previously associated with the risks of developing metabolic complications. Hence, this protocol outlines the process for conducting a systematic review to investigate the association between chronic ARV treatment and the onset of metabolic syndrome complications.Methodology and AnalysisThe studies included in the systematic review are selected according to the inclusion and exclusion criteria. These studies are searched using search engines or databases such as PUBMED, GOOGLE SCHOLAR, MEDLINE, ScienceDirect, and EMBASE DATABASE. The articles that remained after full article screening will be assessed for bias using the Downs and Black checklist, and the data will be extracted. Additionally, heterogeneity tests will be conducted using both Χ2 and I2 tests, meta‐analysis will be conducted using the Review Manager version 5.4 software (RevMan), and data will be presented in forest plots. Grading of Recommendations Assessment, Development, and Evaluation approach (GRADE) will be used to assess the strength of evidence in eligible reports.Dissemination and RegistrationThe findings intend to give an insight into the ARVs as a risk factor for metabolic diseases and further elaborate on the regimen that possesses a high risk between the first and second regimens. This protocol has been registered on PROSPERO Database #CRD42024521322.
Optimization of Heat Transfer on Carbon Nanotubes With Exponential Heat Generation and Nonlinear Radiation in Sakiadis and Blasius Flows Over Curved Surface
Authors: Roopa K. R. , Govindaraju M. V. , Dinesh P. A. , Yadav Sweeti 
Published: January 2025

ABSTRACTEngineers and researchers in the field of thermal analysis are searching for novel approaches to boost their performance by enhancing the thermal characteristics of electrical equipment. Non‐Newtonian fluids are used in technical and industrial settings owing to their high thermal conductivity. In connection with this, the present study investigates the fluid flow and heat transmission of a hybrid nanomaterial (carbon nanotubes and ferric oxide) over a curved surface. The originality of this study is related to examining the impact of heat generation and nonlinear thermal radiation with convective boundary conditions for Sakiadis flow (SF) and Blasius flow (BF). The system of mathematical relations in the partial differential equation form is changed to an ordinary differential equation (ODE) system using appropriate variables. The indeterminate ODEs were solved using the ODE analyzer, which is accessible in the computer software Maple. The graphs demonstrate the importance of the critical factors concerning the velocity and temperature fields. SF has a thinner boundary layer than BF, which results in a more pronounced temperature drop. The effects of altering the physical parameters on the Nusselt number were optimized through response surface methodology for BF and SF. SF is more affected by radiation effects, but BF shows increased sensitivity to wall temperature gradients, indicating distinct optimization approaches for each scenario. In every situation, the hybrid nanofluid of multiwall carbon nanotubes and ferric oxide exhibits excellent thermal performance. To validate the chosen numerical approach, a tabular description is provided to generate an excellent comparison.