bluuebunny/crossref_metadata_2025_split huggingface dataset:
Impact of an optimized epilepsy surgery imaging protocol for focal epilepsy: A monocentric prospective study
Authors: Vaudano Anna Elisabetta , Ballerini Alice , Zucchini Francesca , Micalizzi Elisa , Scolastico Simona , Talami Francesca , Giovannini Giada , Pugnaghi Matteo , Orlandi Niccolò , Biagioli Niccolò , Cioclu Maria Cristina , Vallone Stefano , Genovese Maurilio , Todeschini Alessandra , Cavalleri Francesca , Malagoli Marcella , Meletti Stefano 
Published: March 2023

AbstractObjectiveTo evaluate in a real clinical scenario the impact of the ILAE‐recommended “Harmonized neuroimaging of epilepsy structural sequences”‐ HARNESS protocol in patients affected by focal epilepsy.MethodsWe prospectively enrolled focal epilepsy patients who underwent a structural brain MRI between 2020 and 2021 at Modena University Hospital. For all patients, MRIs were: (a) acquired according to the HARNESS‐MRI protocol (H‐MRI); (b) reviewed by the same neuroradiology team. MRI outcomes measures were: the number of positive (diagnostic) and negative MRI; the type of radiological diagnosis classified in: (1) Hippocampal Sclerosis; (2) Malformations of cortical development (MCD); (3) Vascular malformations; (4) Glial scars; (5) Low‐grade epilepsy‐associated tumors; (6) Dual pathology. For each patient we verified for previous MRI (without HARNESS protocol, noH‐MRI) and the presence of clinical information in the MRI request form. Then the measured outcomes were reviewed and compared as appropriate.ResultsA total of 131 patients with H‐MRI were included in the study. 100 patients out from this cohort had at least one previous noH‐MRI scan. Of those, 92/100 were acquired at the same Hospital than H‐MRI and 71/92 on a 3T scanner. The HARNESS protocol revealed 81 (62%) positive and 50 (38%) negative MRI, and MCD was the most common diagnosis (60%). Among the entire pool of 100 noH‐MRI, 36 resulted positive with a significant difference (p < .001) compared to H‐MRI. Similar findings were observed when accounting for the expert radiologists (H‐MRI = 57 positive; noH‐MRI = 33, p < .001) and the scanner field strength (H‐MRI 43 = positive, noH‐MRI = 23, p < .001), while clinical information were more present in H‐MRI (p < .002).SignificanceThe adoption of a standardized and optimized MRI acquisition protocol together with adequate clinical information contribute to identify a higher number of potentially epileptogenic lesions (especially FCD) thus impacting concretely on the clinical management of patients with focal epilepsy.
A physics‐informed Bayesian framework for characterizing ground motion process in the presence of missing data
Authors: Chen Yu , Patelli Edoardo , Edwards Benjamin , Beer Michael 
Published: March 2023

AbstractA Bayesian framework to characterize ground motions even in the presence of missing data is developed. This approach features the combination of seismological knowledge (a priori knowledge) with empirical observations (even incomplete) via Bayesian inference. At its core is a Bayesian neural network model that probabilistically learns temporal patterns from ground motion data. Uncertainties are accounted for throughout the framework. Performance of the approach has been quantitatively demonstrated via various missing data scenarios. This framework provides a general solution to dealing with missing data in ground motion records by providing various forms of representation of ground motions in a probabilistic manner, allowing it to be adopted for numerous engineering and seismological applications. Notably, it is compatible with the versatile Monte Carlo simulation scheme, such that stochastic dynamic analyses are still achievable even with missing data. Furthermore, it serves as a complementary approach to current stochastic ground‐motion models in data‐scarce regions under the growing interests of PBEE (performance‐based earthquake engineering), mitigating the data‐model dependence dilemma due to the paucity of data, and ultimately, as a fundamental solution to the limited data problem in data scarce regions.
Trend analysis and evaluation of hydrogen energy and hydrogen storage research
Authors: Ozsari Ibrahim 
Published: March 2023

AbstractHydrogen energy is a type of energy contained in hydrogen, the most common element in the universe. Hydrogen energy is a clean form of energy used in many other fields apart from powering spacecraft and cars. This study examines the contributions researchers from around the world have made in the field of hydrogen energy and storage over the past 30 years (January 1, 1992‐January 1, 2022). A comprehensive bibliometric approach has been applied to illustrate the scientific publications on hydrogen energy and related topics using the Scopus database, which revealed 15 792 publications published by more than 500 authors and organizations scattered over 120 countries. Various aspects of these studies have been analyzed, such as publication type, number of citations, fundamental research areas, and keywords. The article additionally examines the countries, authors, journals, and institutions that have worked in the field of hydrogen energy and storage. Thus, this article presents detailed results from the 18 most influential authors, 20 most influential journals, and 15 most influential institutions in the field of hydrogen energy and storage in terms of publication, citation, publication impact parameters, and h‐indexes over the past 30 years and shows the effects of all countries that have published in the field of hydrogen energy and storage in terms of number of publications and citations. As a result of the analysis of all parameters, the most effective journals are shown to be the International Journal of Hydrogen Energy, Fuel Cells Bulletin, and the Journal of Materials Chemistry A, and the most effective countries are seen to be China, USA, and South Korea. However, Ibrahim Dincer has been identified as the most influential author and to differ in several ways in terms of contributing authors. The results also indicate how important the subject of hydrogen energy is in the field of energy, physics and astronomy, and engineering. As a result, this article presents the trends over the last 30 years and details on future directions.
Two‐scale conjugate heat transfer solution for micro‐structured surface
Authors: He L. 
Published: March 2023

AbstractThe primary challenges for simulating a turbulent flow over a micro‐structured surface arise from the two hugely disparate spatial length scales. For fluid–solid coupled conjugate heat transfer (CHT), there is also a time‐scale disparity. The present work addresses the scale disparities based on a two‐scale framework. For the spatial scale disparity, a dual meshing is employed to couple a global coarse‐mesh domain with local fine‐mesh blocks around micro‐structures through source terms generated from the local fine‐mesh and propagated to the global coarse‐mesh domain. The convergence and robustness of the source terms driven coarse‐mesh solution is enhanced by a balanced eddy‐viscosity damping. In this work, the two‐scale method previously developed only for a fluid‐domain is extended to a solid domain so that thermal conduction around micro‐elements can now be resolved accurately and efficiently. The fluid–solid timescale disparity is dealt with by a frequency domain approach. The time‐averaged (zeroth harmonic) is effectively obtained in the same way as steady CHT. And remarkably, wall temperature unsteadiness can be simply obtained from the fluid temperature harmonics through a wall fluid–solid temperature harmonic transfer‐function at minimal computational cost. The developed CHT capability is validated for an experimental internal cooling channel with multiple surface rib‐elements. For a test configuration with 100 micro‐structures, the fluid domain‐only, the solid domain‐only and the fluid–solid coupled CHT solutions are analyzed respectively to examine and demonstrate the validity of the present framework and implementation methods. Some of the results also serve to illustrate the primary underlying working of the methodology.
An Ambitious Goal: A Grounded, Informed, and Compelling Theological Bioethics
Authors: Antommaria Armand H. Matheny 
Published: March 2023

AbstractIn Disability's Challenge to Theology: Genes, Eugenics, and the Metaphysics of Modern Medicine (Notre Dame Press, 2022), Devan Stahl establishes an ambitious goal: develop a Christian bioethics that is metaphysically grounded, informed by the experience of disability, and culturally compelling. She argues that personhood is not the possession of certain abilities; all humans are worthy of dignity and respect because they are created by God in God's image. According to Stahl, persons should be valued for who they are and treated with radical acceptance. Interventions on the body should be judged on whether they promote flourishing, and such judgments should be informed by the experience of disability and made in community. These arguments will be of interest to Christian bioethics, disability scholars, and those interested in the capability approach, but clinical ethicists may find Stahl's book less compelling.
Impact of HPV testing in opportunistic cervical screening: Support for primary HPV screening in the United States
Authors: Cuzick Jack , Adcock Rachael , Kinney Walter , Castle Philip E. , Robertson Michael , McDonald Ruth M. , Stoler Mark H. , Du Ruofei , Wheeler Cosette M. ,   for the New Mexico HPV Pap Registry Steering Committee
Published: March 2023

AbstractHuman papillomavirus (HPV) testing for cervical screening increases diagnosis of precancer and reduces the incidence of cervical cancer more than cytology alone. However, real‐world evidence from diverse practice settings is lacking for the United States (U.S.) to support clinician adoption of primary HPV screening. Using a population‐based registry, which captures all cervical cytology (with or without HPV testing) and all cervical biopsies, we conducted a real‐world evidence study of screening in women aged 30 to 64 years across the entire state of New Mexico. Negative cytology was used to distinguish cotests from reflex HPV tests. A total of 264 198 cervical screening tests (with exclusions based on clinical history) were recorded as the first screening test between 2014 and 2017. Diagnoses of cervical intraepithelial neoplasia grades 2 or 3 or greater (CIN2+, CIN3+) from 2014 to 2019 were the main outcomes. Of cytology‐negative screens, 165 595 (67.1%) were cotests and 4.8% of these led to biopsy within 2 years vs 3.2% in the cytology‐only group. Among cytology‐negative, HPV tested women, 347 of 398 (87.2%) CIN2+ cases were diagnosed in HPV‐positive women, as were 147 of 164 (89.6%) CIN3+ cases. Only 29/921 (3.2%) CIN3+ and 67/1964 (3.4%) CIN2+ cases were diagnosed in HPV‐negative, cytology‐positive women with biopsies. Under U.S. opportunistic screening, across a diversity of health care delivery practices, and in a population suffering multiple disparities, we show adding HPV testing to cytology substantially increased the yield of CIN2+ and CIN3+. CIN3+ was rarely diagnosed in HPV‐negative women with abnormal cytology, supporting U.S. primary HPV‐only screening.
Time‐varying association of second primary malignancy and long‐term survival outcomes in patients with head and neck cancer
Authors: Zhu Xiaoke , Heng Yu , Zhou Jian , Lin Hanqing , Zhou Liang , Zhang Ming , Cao Pengyu , Tao Lei 
Published: March 2023

AbstractA high risk of developing second primary malignancy (SPM) has been reported among head and neck cancer patients. Here, we aimed to statistically quantify the impact of SPM development on the survival of head and neck cancer patients. Our study was conducted using the Surveillance, Epidemiology and End Results database to collect the data of 48 316 patients who received curative surgical resection for initial primary head and neck squamous cell carcinoma (IP‐HNSCC) in 1975 to 2019. SPM diagnosis was treated as a time‐varying covariate and multivariable Cox regression analysis was conducted to estimate the association between SPM development and survival, overall or by the subsite of IP‐HNSCC. Of the included patients, 11 238 patients (23.3%) developed SPM during the follow‐up period. A significant reduction in survival was observed among patients with SPM (hazard ratio [HR] for overall survival, 3.30; 95% confidence interval [CI]: 3.20‐3.41). The impact of SPM development on reduced survival was more significant in patients with localized IP‐HNSCC vs regional IP‐HNSCC (HROS, 3.41; 95% CI: 3.24‐3.6 vs HROS, 3.18; 95% CI: 3.05‐3.31; P for interaction <.001). The survival impact of SPM development was more evident in younger patients than in older patients. SPM in lung and bronchus was associated with the most pronounced reduction in survival, overall and across all subsites of HNSCC. Our results indicated that SPM development led to a significant reduction in survival. A greater survival benefit may be achieved through intensive surveillance for SPM in lung and bronchus targeting younger patients and those with localized HNSCC.
A 90‐day toxicity study of tripeptide, arginine‐alanine‐lysine
Authors: Dunn Maureen , Glávits Róbert , Murbach Timothy S. , Modica Vickie , Endres John R. , Hirka Gábor , Pasics Szakonyiné Ilona 
Published: March 2023

AbstractThere is a growing global interest in using peptides in the health industry for pharmaceuticals, cosmetics, and natural food products. Peptides contain two or more linked amino acids, whereas more than 50 amino acids are classified as polypeptides. Although there is a growing level of interest in the use of peptides in the health and wellness industry, there is a lack of literature pertaining to a specific tripeptide derived from arginine, alanine, and lysine (RAK) that is of interest for human dietary use. Therefore, a 90‐day repeated‐dose toxicity study was performed in rats to evaluate the subchronic oral toxicity of RAK. Eighty Han:WIST rats were administered RAK by gavage at doses of 0, 250, 500, or 1000 mg/kg bw/day. There were no mortalities or other treatment related effects, and no target organs were identified. A no‐observed‐adverse‐effect‐level (NOAEL) of 1000 mg/kg bw/day, the highest dose tested, was determined. This study will contribute to the body of research in regard to the safety of the use of RAK.
Sertoli cell adaptation to glucose deprivation: Potential role of AMPK in the regulation of lipid metabolism
Authors: Rindone Gustavo M. , Dasso Marina E. , Centola Cecilia L. , Pellizzari Eliana H. , Camberos María del C. , Toneatto Judith , Galardo María N. , Meroni Silvina B. , Riera María F. 
Published: March 2023

AbstractSertoli cells (SCs) provide an adequate environment for germ cell development. SCs possess unique features that meet germ cells' metabolic demands: they produce lactate from glucose, which is delivered as energy substrate to germ cells. SCs store fatty acids (FAs) as triacylglycerols (TAGs) in lipid droplets (LDs) and can oxidize FAs to sustain their own energetic demands. They also produce ketone bodies from FAs. It has been shown that exposure of SCs to metabolic stresses, such as glucose deprivation, triggers specific adaptive responses that sustain cell survival and preserve lactate supply to germ cells. The aim of the present study was to investigate whether there are modifications in rat SCs lipid metabolism, including LD content, FA oxidation, and ketone bodies production, as part of their adaptive response to glucose deprivation. The present study was performed in 20‐day‐old rat SCs cultures. We determined LD content by Oil Red O staining, FA oxidation by measuring the release of 3H2O from [3H] palmitate, TAGs and 3‐hydroxybutyrate levels by spectrophotometric methods, and mRNA levels by RT‐qPCR. Results show that the absence of glucose in SC culture medium entails: (1) a decrease in LD content and TAGs levels that is accompanied by decreased perilipin 1 mRNA levels, (2) an increase in FA oxidation that is in part mediated by AMP kinase (AMPK) activation and (3) a decrease in 3‐hydroxybutyrate production. Additionally, we studied whether sestrins (SESN1, 2 and 3), proteins involved in the cellular response to stress, are regulated in glucose deprivation conditions. We show that there is an increase in SESN2 mRNA levels in deprived conditions. In conclusion, glucose deprivation affects SC lipid metabolism promoting FA mobilization from LDs to be used as energy source.
Preparation of porous Cu‐rich CuNi electrodes via electrochemically dealloying in ionic liquid
Authors: Pan Yu‐Hsuan , Yu Chia‐Lin , Lee Chien‐Liang , Chen Po‐Yu 
Published: March 2023

AbstractCommercial CuNi (55/45 wt%) alloy can be electrochemically dealloyed to be the porous Cu‐rich CuNi electrodes, which reveals an enhanced catalytic activity toward nitrate reduction in contrast with that of the mother alloy electrodes. In comparison with the use of aqueous electrolytes, the formation of the porous structures is reproducible if ionic liquid (IL) is used as the electrolyte for the dealloying process. During the dealloying process, a relatively more quantity of Ni but both Ni and Cu were electrochemically oxidized to be Ni(II) and Cu(II) complex ions; different ions seemed to own different coordinating molecules in accordance with the NMR analysis. Cu(II) ions could be reduced to Cu metal and deposited upon the counter electrode during the dealloying process. Ni(II) ions, on the other hand, can be mostly removed from the IL phase by extraction into the immiscible water phase. A sustainable system may be developed for the preparation of nitrate‐active electrodes in accordance with the study shown here.
Comparative analysis of hypoxic response of human microvascular and umbilical vein endothelial cells in 2D and 3D cell culture systems
Authors: Dienemann Sandra , Schmidt Vanessa , Fleischhammer Tabea , Mueller Julia H. , Lavrentieva Antonina 
Published: March 2023

AbstractIn vitro cultivation conditions play a crucial role in cell physiology and the cellular response to external stimuli. Oxygen concentrations represent an essential microenvironmental factor influencing cell physiology and behaviour both in vivo and in vitro. Therefore, new approaches are urgently needed to monitor and control oxygen concentrations in 2D and 3D cultures, as well as cell reactions to these concentrations. In this work, we modified two types of human endothelial cells–human microvascular (huMECs) and umbilical vein endothelial cells (huVECs) with genetically encoded hypoxia biosensors and monitored cell reactions in 2D to different oxygen concentrations. Moreover, we fabricated 3D cell spheroids of different cell numbers and sizes to reveal the onset of hypoxia in huVECs and huMECs. We could demonstrate a quantitative sensor response of two cell types to reduced oxygen supply in 2D and reveal different thresholds for hypoxic response. In 3D cell spheroids we could estimate critical construct sizes for the appearance of a hypoxic core. This work for the first time directly demonstrates different hypoxic signatures for huVECs and huMECs in 2D and 3D cell culture systems.
Modeling and tuning of glucose oxidase‐catalase system incorporating dissolved oxygen concentration
Authors: Ruales‐Salcedo Angela V. , Prado‐Rubio Oscar Andrés , Fontalvo Javier , Higuita Juan Carlos , Woodley John M. 
Published: March 2023

AbstractBACKGROUNDGluconic acid production by a glucose oxidase (GOx) and catalase (CAT) system has been proposed. However, the bioprocess optimal design and operation are limited by the lack of kinetic models of GOx involving oxygen as substrate. Herein, the GOx‐CAT system is modeled considering a continuous oxygen supply at a bioreactor lab scale. Initially, experiments and modeling for parameter estimations of and the individual enzymes were conducted. Then, experiments and modeling for the GOx‐CAT system were performed for final model tuning. Additionally, the model quality was evaluated, allowing for a deeper understanding of the system phenomenology.RESULTSFrom the oxygen transport model tuning, a highly accurate estimation was obtained (>0.98 and confidence interval <2%). The highest oxygen transport rate was obtained for the combined system Buffer‐antifoam‐GOx‐CAT that was 2.5 times larger than that obtained for DI water. Kinetic models for the individual enzymes were very accurate and the parameters were fully identifiable. For the integrated system, the gluconic acid evolution was properly predicted and there was a loss of predictive power for the oxygen model. Parameter identifiability analysis showed that and interpretability was compromised. However, the sensitivity analysis indicated that the model must not be simplified.CONCLUSIONHerein its has been demonstrated that is a complex parameter to be estimated for multi‐enzymatic systems due to its dependency on medium composition, particularly with GOx. Nonetheless, based on the acceptable model predictive power, the calculated parameters could be used for studies on the process design phase. © 2023 The Authors. Journal of Chemical Technology and Biotechnology published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry (SCI).
Drug repurposing for viral cancers: A paradigm of machine learning, deep learning, and virtual screening‐based approaches
Authors: Ahmed Faheem , Kang In Suk , Kim Kyung Hwan , Asif Arun , Rahim Chethikkattuveli Salih Abdul , Samantasinghar Anupama , Memon Fida Hussain , Choi Kyung Hyun 
Published: March 2023

AbstractCancer management is major concern of health organizations and viral cancers account for approximately 15.4% of all known human cancers. Due to large number of patients, efficient treatments for viral cancers are needed. De novo drug discovery is time consuming and expensive process with high failure rate in clinical stages. To address this problem and provide treatments to patients suffering from viral cancers faster, drug repurposing emerges as an effective alternative which aims to find the other indications of the Food and Drug Administration approved drugs. Applied to viral cancers, drug repurposing studies following the niche have tried to find if already existing drugs could be used to treat viral cancers. Multiple drug repurposing approaches till date have been introduced with successful results in viral cancers and many drugs have been successfully repurposed various viral cancers. Here in this study, a critical review of viral cancer related databases, tools, and different machine learning, deep learning and virtual screening‐based drug repurposing studies focusing on viral cancers is provided. Additionally, the mechanism of viral cancers is presented along with drug repurposing case study specific to each viral cancer. Finally, the limitations and challenges of various approaches along with possible solutions are provided.