bluuebunny/crossref_metadata_2025_split huggingface dataset:
Age‐specific reference intervals for liver function tests in healthy neonates, infants, and young children in Iran
Authors: Badakhshan Seyede Negin , Ghazizadeh Hamideh , Mohammadi‐Bajgiran Maryam , Esmaily Habibollah , Khorasani Mahdiyeh Yaghooti , Bohn Mary Kathryn , Pashirzad Mehran , Khodabandeh Atieh Kamel , Zadeh Sara Ghazi , Alami‐Arani Iman , Rahimi Hamidreza , Ferns Gordon A. , Boskabadi Hassan , Assaran‐Darban Reza , Adeli Khosrow , Ghayour‐Mobarhan Majid 
Published: December 2023

AbstractBackgroundThe reference intervals (RIs) for liver function tests (LFTs) were determined in Iranian children for the first time.MethodsA total of 344 healthy pediatrics aged 3 days to 30 months old were recruited. Serum levels of ALT, AST, ALP, direct bilirubin, and total bilirubin were measured. RIs were determined using CLSI Ep28‐A3 guidelines.ResultsAll analytes demonstrated age‐specific differences except AST. ALT and ALP demonstrated significantly elevated levels in infants 0 to <5 months relative to the remainder of the age range. Direct and total bilirubin demonstrated markedly elevated levels in early life with mean of 0.28 mg/dL and 1.64 mg/dL observed for direct and total bilirubin, respectively, decreasing by ~50% in the adjacent partition.ConclusionThese novel data will help improve the clinical interpretation of biochemical test results in young Iranian neonates and children and can be of value to clinical laboratories with similar populations.
An industrial design of 400 V – 48 V, 98.2% peak efficient charger usingE‐mode GaNtechnology with wide operating ranges for xEV applications
Authors: Narasipuram Rajanand Patnaik , Mopidevi Subbarao 
Published: December 2023

AbstractThis paper offers a wide‐operating range electric vehicle charger design by employing an interleaved inductor–inductor–capacitor iL2C DC–DC converter. It uses two parallel L2C converters with 8‐GaN switches on the primary side and a shared rectifier circuit on the secondary side, which it also enhances the circulating current, conduction losses, and current sharing. For iL2C converter, a constant voltage charging mode of operation is designed, also it proposes a hybrid control scheme of variable frequency + phase shift modulation (VFPSM). The entire concept is designed, simulated, and validated with a rated input voltage and load voltage of three different load conditions with converter line and load regulations are analyzed. To evaluate controller and converter performance, the idea is proven experimentally for variable load condition of full load, half load, light load with a rated input and output voltage of 400Vin–48V0. In addition, line regulation is also performed and validated for wide input voltage application of 300Vin–500 Vinwith an output voltage of 48V0at full load and peak efficiency of 98.2% is determined. Further, to provide the system effectiveness converter efficiencies are presented at various load operations from 3.3 kW to 330 W.
Dermoscopy findings of the axilla of women with frontal fibrosing alopecia
Authors: Munck Andreia , Donati Aline , Machado Carla Jorge , Valente Neusa , Romiti Ricardo 
Published: December 2023

AbstractBackgroundFrontal fibrosing alopecia (FFA) is a form of inflammatory and cicatricial alopecia, presenting concomitantly with rarefaction of eyebrows and body hair. However, the involvement of body hair in FFA is still poorly investigated.ObjectivesTo compare the dermoscopy findings of axillary hairs in a group of women with FFA with a group of women without FFA.MethodsAn observational case‐control study was carried out on the dermoscopic findings of the axillary hair in this group of patients with FFA compared to a group of women without FFA, matched by age groups and skin phototypes.ResultsThirty women with a clinical and histopathological diagnosis of FFA were included in the study. Dermoscopy of the axilla in patients with FFA revealed the presence of axillary hair in 93.3% and all patients had hairless follicular openings. More than one wire per follicular ostium was observed in 70% of the patients and variability in the diameter of the hairs in 83.3% of the cases. Regarding dermoscopic inflammatory signs, a peripillary brownish halo was present in 83.3% of patients, peripillary scaling in 56.7%, diffuse scaling in 63.3% and pigmented network of the epidermis in 73.3% of the cases. When comparing the dermoscopic findings of the axilla of cases with controls, the chance of occurrence of brownish peripillary halos between cases was higher than double the chance of occurrence of these halos among controls (OR = 2.7; 95% CI: 1.1−7.6; p = 0.029). The rest of variables were not statistically associated with the FFA.ConclusionsDermoscopy of the axilla in patients with FFA revealed that brownish peripillary halos may be a diagnostic clue for FFA in the axillary region. The dermoscopy findings found in the present study allow characterizing the axillary involvement of patients with FFA and recognize the dermoscopic differences with other dermatoses involving this location.
Systemic pharmacology and bioinformatics: Exploring the modern biological mechanisms of rhubarb in the treatment of papillary thyroid carcinoma
Authors: Wang Zihan , Si Weichen , Chen Xingyu , Huang Chen 
Published: December 2023

AbstractTraditional Chinese medicine (TCM) has the potential to contribute to the treatment of tumor patients. The integration of TCM with fields such as bioinformatics is crucial to gaining insights into the active compounds, target genes, and therapeutic mechanisms of TCM. In this study, our objective was to investigate the active compounds, target genes, and therapeutic mechanisms of rhubarb in the treatment of papillary thyroid carcinoma (PTC) using network pharmacology and bioinformatics approaches. By integrating multiple omics data sources and analysis methods, we identified 37 highly confident rhubarb target genes for the treatment of PTC. Subsequently, six genes (TP53, JUN, ESR1, CDKN1A, TNF, and MYC) were identified as core targets in the protein‐protein interaction (PPI) network. The herb‐component‐target network suggested that β‐sitosterol played a key role in the antitumor effect of rhubarb, while docking analysis revealed that TP53, JUN, and ESR1 were core target genes binding with β‐sitosterol. Additionally, functional annotation implicated that Hepatitis B and P53 signaling were key pathways in the rhubarb therapy for PTC. This study provides insights into the pharmacology of rhubarb and facilitates research on its potential in the treatment of PTC.
Impact of acquisition and modeling parameters on the test–retest reproducibility of edited GABA+
Authors: Hupfeld Kathleen E. , Zöllner Helge J. , Hui Steve C. N. , Song Yulu , Murali‐Manohar Saipavitra , Yedavalli Vivek , Oeltzschner Georg , Prisciandaro James J. , Edden Richard A. E. 
Published: December 2023

AbstractLiterature values vary widely for within‐subject test–retest reproducibility of gamma‐aminobutyric acid (GABA) measured with edited magnetic resonance spectroscopy (MRS). Reasons for this variation remain unclear. Here, we tested whether three acquisition parameters—(1) sequence complexity (two‐experiment MEscher–GArwood Point RESolved Spectroscopy [MEGA‐PRESS] vs. four‐experiment Hadamard Encoding and Reconstruction of MEGA‐Edited Spectroscopy [HERMES]); (2) editing pulse duration (14 vs. 20 ms); and (3) scanner frequency drift (interleaved water referencing [IWR] turned ON vs. OFF)—and two linear combination modeling variations—(1) three different coedited macromolecule models (called “1to1GABA”, “1to1GABAsoft”, and “3to2MM” in the Osprey software package); and (2) 0.55‐ versus 0.4‐ppm spline baseline knot spacing—affected the within‐subject coefficient of variation of GABA + macromolecules (GABA+). We collected edited MRS data from the dorsal anterior cingulate cortex from 20 participants (mean age: 30.8 ± 9.5 years; 10 males). Test and retest scans were separated by removing the participant from the scanner for 5–10 min. Each acquisition consisted of two MEGA‐PRESS and two HERMES sequences with editing pulse durations of 14 and 20 ms (referred to here as MEGA‐14, MEGA‐20, HERMES‐14, and HERMES‐20; all TE = 80 ms, 224 averages). We identified the best test–retest reproducibility following postprocessing with a composite model of the 0.9‐ and 3‐ppm macromolecules (“3to2MM”); this model performed particularly well for the HERMES data. Furthermore, sparser (0.55‐ compared with 0.4‐ppm) spline baseline knot spacing yielded generally better test–retest reproducibility for GABA+. Replicating our prior results, linear combination modeling in Osprey compared with simple peak fitting in Gannet resulted in substantially better test–retest reproducibility. However, reproducibility did not consistently differ for MEGA‐PRESS compared with HERMES, for 14‐ compared with 20‐ms editing pulses, or for IWR‐ON versus IWR‐OFF. These results highlight the importance of model selection for edited MRS studies of GABA+, particularly for clinical studies that focus on individual patient differences in GABA+ or changes following an intervention.
H∞ dynamic observer design for a class of Lipschitz nonlinear discrete‐time systems with time varying delays
Authors: Naami Ghali , Ouahi Mohamed 
Published: December 2023

AbstractThis study explores the development of dynamic observer (HDO) for discrete‐time nonlinear systems (DTNLS) with time‐varying delay (TVD) and disturbances. The approach is to construct an augmented Lyapunov–Krasovskii function (LKF) with double summation terms, using the generalized reciprocally convex matrix inequality (GRCMI), as well as the Jensen‐based inequality (JBI) and the Wirtinger‐based inequality (WBI). These lead to less conservative time‐dependent conditions, represented as a set of linear matrix inequalities (LMIs) that can be efficiently solved using the LMI or YALMIP toolboxes. In addition, the proposed observer includes the widely used proportional observer (PO) and proportional integral observer (PIO) as specific cases. Two examples are presented to demonstrate the validity and effectiveness of the results.
Cell Type Catalog of Middle Turbinate Epithelium (Cell Catalog of Turbinate Epithelium)
Authors: Mathews Fasil , Tung Victoria Sook Keng , Foronjy Robert , Boruk Marina , Knowles James A. , Evgrafov Oleg V. 
Published: December 2023

AbstractObjectiveSingle‐cell RNA‐sequencing of middle turbinate mucosa was performed to create the first single‐cell transcriptome catalog of this part of the human body.Study DesignBasic science research.SettingSingle center, tertiary care center.MethodsSamples were obtained from the head of the middle turbinate from a healthy volunteer. After the specimen was prepared per lab protocol, cells were dissociated, resuspended, and counted. Single‐cell libraries were then prepared according to the 10x Genomics protocol and sequenced using NovaSeq 6000 (Illumina). Sequencing data were processed using Cell Ranger, and clustering and gene expression analysis was performed using Seurat. Cell types were annotated through expression profiling of single cells using known markers and data from other single‐cell studies.ResultsFourteen unique cell types were identified, including serous, goblet, club, basal, ciliated, endothelial, and mesenchymal cells, as well as multiple types of blood cells.ConclusionThis catalog provides a comprehensive depiction of the cellular composition of middle turbinate mucosa. By uncovering the cellular stratification of gene expression profiles in the healthy middle turbinate epithelium, the groundwork has been laid for further investigation into the molecular pathogenesis and targeted therapy of sinonasal disease.
Association Between Retinal Pathology and Hearing in Older Adults
Authors: Sayyid Zahra N. , Akbar Armaan F. , Jiang Kening , Pogson Jacob M. , Andresen Nicholas S. , Deal Jennifer A. , Ward Bryan K. 
Published: December 2023

AbstractWe investigated the association between retinal microvascular changes and hearing loss based on the hypothesis that both may result from shared microvascular pathology. Data from 536 older adults from the National Health and Nutritional Examination Survey 2005 to 2006 including sociodemographic and health characteristics, pure‐tone hearing thresholds, and retinal pathologies were collected and analyzed. Associations between retinal and hearing pathologies were modeled with multivariable‐adjusted linear regressions. 75% of participants had hearing loss and 15% of participants had retinopathy. The association between retinopathy, microaneurysms, and blot hemorrhages with better speech‐frequency pure tone average was −2.81 (95% confidence interval [CI]: −5.72 to 0.10), −4.75 (95% CI: −8.73 to −0.78), and −5.34 (95% CI: −8.68 to −2.00), respectively. The presence of retinopathy, microaneurysms, and blot hemorrhages was inversely associated with hearing loss. Further studies are needed to better understand the potential relationship between microvascular pathologies of the eye and ear.
Network connectivity between psychological resilience and depression in prostate cancer patients
Authors: Sharpley Christopher F. , Arnold Wayne M. , Christie David R. H. , Bitsika Vicki 
Published: December 2023

AbstractObjectivesProstate cancer (PCa) patients often experience depression. One possible buffer against stress‐related depression is psychological resilience (PR), which has been described as heterogeneous in structure, like major depressive disorder (MDD). Although both of these constructs are central to understanding and assisting distressed PCa patients, no data have been reported on how they connect via network arrays at a component and symptom level. Such information has the potential to inform clinical practice with depressed PCa patients.MethodsUsing a cross‐sectional design, 555 PCa patients completed the Patient Health Questionnaire‐9 (PHQ‐9) and the Connor–Davison Resilience Scale (CDRISC). Data were analysed via network analysis.ResultsNetwork analysis indicated that various CDRISC factors interacted with different PHQ‐9 symptoms. For example, trust in one's instincts, tolerance of negative affect, and strengthening effects of stress (CDRISC) was associated with concentration problems and suicidal ideation (PHQ‐9); positive acceptance of change, and secure relationships (CDRISC) was linked to low self‐worth, anhedonia, fatigue/lethargy, motor problems, depressed mood, and concentration and appetite problems (PHQ‐9). Similarly heterogeneous associations were found between individual CDRISC items and PHQ‐9 symptoms. Network analytic figures depict both these sets of associations.ConclusionsAs well as confirming the heterogeneous nature of PR and MDD in PCa patients, these findings argue for the further development of ‘individualised’ medicine approaches when working with PCa patients and their experiences of depression.
Stability and guaranteed cost control for linear impulsive systems with random impulses: Application to stochastic event‐triggered control
Authors: Luo Shixian , Zhong Qinghua , Jiang Yan , Deng Feiqi , Hu Zhipei 
Published: December 2023

SummaryThis paper proposes a systematic framework for stability and guaranteed cost control of linear impulsive systems subject to random time‐ and event‐triggering impulses. Moment stability criteria and design methods of time‐ and event‐triggered controllers with guaranteed quadratic performance for the impulsive system are established. It shows that the proposed event‐triggered controller in the sense that it guarantees at least the same quadratic performance function bound as the designed time‐triggered guaranteed cost controller, however, with a larger, or at most equal, average inter‐transmission time. Based on the proposed framework of random‐impulses systems, a stochastic dynamic event‐triggered control strategy is proposed to solve sampled‐data control systems in the presents of sporadic measurements or stochastic sampling. Numerical simulations illustrate the effectiveness of the proposed theoretical results.
Biomolecular Corona of Gold Nanoparticles: The Urgent Need for Strong Roots to Grow Strong Branches
Authors: Boselli Luca , Castagnola Valentina , Armirotti Andrea , Benfenati Fabio , Pompa Pier Paolo 
Published: December 2023

AbstractGold nanoparticles (GNPs) are largely employed in diagnostics/biosensors and are among the most investigated nanomaterials in biology/medicine. However, few GNP‐based nanoformulations have received FDA approval to date, and promising in vitro studies have failed to translate to in vivo efficacy. One key factor is that biological fluids contain high concentrations of proteins, lipids, sugars, and metabolites, which can adsorb/interact with the GNP's surface, forming a layer called biomolecular corona (BMC). The BMC can mask prepared functionalities and target moieties, creating new surface chemistry and determining GNPs’ biological fate. Here, the current knowledge is summarized on GNP‐BMCs, analyzing the factors driving these interactions and the biological consequences. A partial fingerprint of GNP‐BMC analyzing common patterns of composition in the literature is extrapolated. However, a red flag is also risen concerning the current lack of data availability and regulated form of knowledge on BMC. Nanomedicine is still in its infancy, and relying on recently developed analytical and informatic tools offers an unprecedented opportunity to make a leap forward. However, a restart through robust shared protocols and data sharing is necessary to obtain “stronger roots”. This will create a path to exploiting BMC for human benefit, promoting the clinical translation of biomedical nanotools.
Electrode Surface‐Modified Strategy for Improving the Voltage of Aqueous Supercapacitors
Authors: Huang Shan , Du Xianfeng , Guo Yuan , Liang Zhongshuai , Ma Mingbo , Sun Xiaofei , Xiong Lilong 
Published: December 2023

AbstractEndowing aqueous supercapacitors (SCs) with high voltage is of great practical significance, but it is restricted by the water decomposition reaction occurring in the electrodes. Here, a novel surface treatment strategy is proposed to inhibit the hydrogen evolution reaction/oxygen evolution reaction at the cathode and anode by forming a passivation layer at the whole electrode surface, which widens the electrochemical stability window of the electrode and working voltage of the aqueous SCs. In addition, the cathode overpotential is increased from −1.3 to −1.48 V, and the anode is expanded from 1.42 to 1.59 V. Importantly, the aqueous SCs can work stably at 3 V operating voltage, enabling the coulombic efficiency and capacitance retention of the optimized SCs is 97% and 96% after 5000 cycles, respectively. This strategy of surface modification provides effective guidance to achieve high‐voltage aqueous energy storage devices.
A comparative analysis of deep learning models for soil temperature prediction in cold climates
Authors: Imanian Hanifeh , Mohammadian Abdolmajid , Farhangmehr Vahid , Payeur Pierre , Goodarzi Danial , Hiedra Cobo Juan , Shirkhani Hamidreza 
Published: December 2023

Abstract
Accurate soil temperature prediction in cold climates is crucial for optimizing agricultural practices, hydrological processes, water resource management, minimizing frost damage, and mitigating flood risks. The capacity of deep learning methods to capture intricate patterns and relationships in climate data enhances the accuracy of soil temperature predictions and offers substantial benefits for reducing climate change impacts. In the present study, a comparative analysis of different deep learning techniques, including long short-term memory (LSTM), convolutional neural network (CNN), and multi-layer perceptron (MLP), for predicting the soil temperature is provided. The study examined cold climate areas across Canada, from snowy regions to Arctic conditions. Input datasets were considered both as time series and shuffled order. To comprehensively evaluate the predictive approaches for soil temperature, four machine learning (ML) models—CNN, LSTM, MLP in time series, and MLP on shuffled data—were employed. The results showed ML models using input data as time series have struggled with accurate soil temperature prediction, especially in very cold and polar climates, likely due to the presence of ice layers on the soil, limiting fluctuations near the freezing point. The normalized RMSE (NRMSE) for the CNN, LSTM, and MLP was calculated to be 8.6%. 7.4%, and 6.9%, respectively, and the scatter index (SI) for CNN, LSTM, and MLP was calculated to be 1.0%, 0.9%, and 0.9%, respectively. On the other hand, MLP-shuffled that employs shuffled input data outperformed others with an NRMSE of 5.4% and an SI of 0.7%, by creating a generalized data representation, free from presentation sequence bias. This study showed that predicting soil temperature in very cold climates poses a challenge for machine learning, yet the MLP-shuffled model excels, attaining superior accuracy through the creation of a generalized data representation independent of the sample sequence.
Infrared Laser-Based Selected Reaction Monitoring Mass Spectrometry Imaging of Banana (Musa spp.) Tissue—New Method for Detection and Spatial Localization of Metabolites in Food
Authors: Nizioł Joanna , Misiorek Maria , Krupa Zuzanna , Ruman Tomasz 
Published: December 2023

AbstractIn this study, for the first time, we present the application of an infrared (IR) laser ablation-remote-electrospray ionization (LARESI) platform coupled to a tandem mass spectrometer (MS/MS) operated in selected reaction monitoring (SRM) mode for targeted metabolite imaging in intact plant tissues. We examined the distribution of specific metabolites in two banana varieties: Red Dacca and Cavendish. To support MSI results, an extensive analysis of banana tissue extracts was conducted using ultra-high-performance liquid chromatography and ultra-high-resolution mass spectrometry (UHPLC-UHRMS). In the Cavendish banana, 12 metabolites were successfully identified, while Red Dacca bananas were found to contain 16 amino acids. The spatial distribution of some of these compounds found in bananas was presented for the first time. This approach eliminates the need for high vacuum conditions and the pretreatment of biological materials, making it an efficient and promising tool for studying metabolites in plant tissues.
Student–Athletes’ Academic and Athletic Motivation Scale (SAAMS) for adolescents in secondary school: development, evaluation, and psychometric properties
Authors: Niehues Maike , Sallen Jeffrey , Gerlach Erin 
Published: December 2023

AbstractPrevious dual-career (DC) research focused on measuring student–athletes’ motivation in the academic and athletic contexts. Existing measurement instruments are insufficient for adolescent student–athletes and countries with independent education and sport systems. The Student–Athletes’ Academic and Athletic Motivation Scale (SAAMS) was developed based on the expectancy–value framework (EVF) with its dimensions ability beliefs, expectations, importance, interest, usefulness, and cost. The development of the SAAMS followed three phases: (1) item development, (2) scale development, and (3) scale evaluation. The initial version was tested with 346 student–athletes (mean age = 17.3 years; females = 47.7%). A revision phase resulted in a final SAAMS tested with 497 student–athletes (mean age = 17.0 years; females = 42.9%). Exploratory and confirmatory factor analyses were conducted for the evaluation. Several models were tested with the best results for a six-factor model as assumed by the EVF. The SAAMS is suitable for an extensive range of research and practical applications.