bluuebunny/crossref_metadata_2025_split huggingface dataset:
An Integrated Approach to Develop a Potent Vaccine Candidate Construct Against Prostate Cancer by Utilizing Machine Learning and Bioinformatics
Authors: Albutti Aqel 
Published: December 2024

ABSTRACTBackgroundProstate cancer is the most common malignancy among males. Prostaglandin G/H synthase (PGHS) is an essential enzyme in the synthesis of prostaglandins, and its activation has been linked to many malignancies, including colorectal cancer.AimsDue to the limited effectiveness and specificity of existing prostate cancer therapies, this study was designed to formulate improved treatment techniques.MethodsSeveral immunoinformatic, reverse vaccinology, and molecular modeling methodologies were used to discover B‐ and T‐cell epitopes for the glioblastoma multiforme tumor PGH2_HUMAN. This research evaluated Prostaglandin G/H synthase 2 protein as a potential vaccine candidate against the malignancy. The multi‐epitope vaccine architecture is engineered to activate the immune system, with each epitope docked to its respective HLAs. Further, MD simulations analysis was performed to validate the findings.ResultsA multi‐epitope subunit vaccine candidate was developed by concatenating the chosen B‐ and T‐cell epitopes. Results yield a codon adaptive index (CAI) of 0.93 and a GC content of 56.77%. Thus, it conforms to a biological requirement for effective protein expression, suggesting competent vaccine efficacy inside the Escherichia coli system. Significant interleukin and cytokine responses were seen, characterized by elevated levels of IL‐2 and IFN‐γ in the immune system's response to the immunization. Molecular docking demonstrated an efficient binding affinity of −278 kcal/mol, with hydrogen bonding to several residues. Furthermore, the system total root mean square deviation (RMSD) reached 3.23 Å, with a maximum of up to 5.0 Å at the 100 ns time point but remains stable till 400 ns time intervals followed by stable root mean square fluctuation (RMSF) and radius of gyration values. The hydrogen bond cloud residues are the critical sites that significantly influence the binding energies of MMPBSA and MMGBSA via substantial van der Waals interactions.ConclusionIt has been determined that these in silico analyses will further augment the comprehension necessary for advancing the creation of targeted therapies for chemotherapeutic cancer treatments.
Impact of Aerogel Modification for Fe−N−C Activity and Stability towards Oxygen Reduction Reaction in Phosphoric Acid Electrolyte
Authors: Zierdt Tanja , Reuter Torben , Müller–Hülstede Julia , Buschermöhle Julia , Schonvogel Dana , Kröner Jessica , Schwan Marina , Milow Barbara , Wagner Peter , Andreas Friedrich K. 
Published: December 2024

AbstractResorcinol‐formaldehyde based carbon aerogel (CA) has been tailored to meet the requirements as a Fe−N−C carbon support, aiming to provide sufficient, inexpensive cathode catalysts for high‐temperature polymer electrolyte membrane fuel cells (HT–PEMFCs). Therefore, different treatments of the aerogel are explored for optimal pore structure and incorporation of surface functionalities, which are crucial for Fe−N−C synthesis and electrochemical performance. Fe−N−Cs of differently modified aerogel are investigated in phosphoric acid electrolyte. The results show that HNO3 treatment for 5 h yields the Fe−N−C with highest mass activity and selectivity, attributed to the highest amount of nitrogen functionalities revealed by energy dispersive X‐ray spectroscopy (XPS) and proper Fe−Nx site formation. HNO3 oxidation for 2 h leads to Fe−N−C with slightly lower oxygen reduction reaction (ORR) activity and selectivity. In contrast, the Fe−N−C synthesized from CA with H3PO4 treatment shows negligible ORR activity. The feasibility of one‐step activation and carbonization treatment with K2CO3 and, for the first time, with K2CO3 and melamine is proven as the obtained Fe−N−Cs exhibit promising ORR activity. The results are compared with the commercial Fe−N−C PMF‐014401. This study contributes to the advancement of cost‐efficient HT‐PEMFCs by optimizing Fe−N−C catalyst properties.
A New High Voltage Gain Common‐Ground Step‐Up DC‐DC Converter Integrating Coupled‐Inductors and Switched‐Capacitors
Authors: Imanlou Arash , Babaei Ebrahim , Hosseini Seyed Hossein 
Published: December 2024

ABSTRACTThis study proposes a new high‐voltage gain quadratic‐structured common‐ground step‐up DC‐DC converter, integrating coupled‐inductors and switched‐capacitors. This configuration achieves a significant voltage gain without necessitating either a substantial duty cycle or an elevated turn ratio in the coupled‐inductors. A critical innovation is the embedding of the secondary windings of the coupled‐inductors into the switched‐capacitor cell, which not only enhances voltage gain but also effectively suppresses the inrush current typical in such cells. The converter's features include the successful recycling of energy from the leakage inductors; low voltage stress exerted on power switches; zero‐current switching (ZCS) turn‐on of the main switch; ZCS conditions for the diodes' turn‐off; reduced switching losses because of the application of a quasi‐resonant (QR) operation between the leakage inductors and middle capacitors; simultaneous operation of the power switches; continuous input current; a wide duty cycle range; and a common‐ground output–input connection. The operating principle, steady‐state analysis (CCM and DCM), design considerations, efficiency calculation, small‐signal modeling with controller design, and comparisons with other related converters are provided. Finally, experimental results from a 100‐ to 300‐W prototype with 20‐ to 30‐V input and 400‐V output are given to validate the proposed converter's theoretical analysis and feasibility.
High Step‐Up Isolated Multi‐Input Converter Based on Three‐Winding Coupled Inductor and Quasi‐Z‐Source for Excellent Voltage Gain With Independent Control and Expandability
Authors: Shen Chih‐Lung , Xie You‐Xun , Fan Shu‐Yuan , Huang Ho‐Teng , Xie Zhen‐Yuan 
Published: December 2024

ABSTRACTThis article introduces a high step‐up isolated multi‐input converter (HSIMIC), which utilizes a three‐winding coupled inductor and a quasi‐Z‐source to obtain an extra‐high voltage gain and to feature galvanic isolation. The HSIMIC only requires a minimum count of active switches. In HSIMIC, diodes have zero current switching (ZCS) features at turn‐off, and leakage energy can be recycled. Based on the configuration of HSIMIC, the input sources can be processed simultaneously or individually. Even if either of the input sources is interrupted, the converter can still function and maintain the high step‐up characteristic. In addition, the input port number can be easily extended to deal with more clean energy sources. The converter operation principle, theoretical analysis, essential parameter design, and simulations are carried out. A 400‐W prototype is built and then tested to verify the theoretical analysis and validate the proposed HSIMIC.
Out of Sight, Out of Mind? Neuronal Gamma Oscillations During Occlusion Events in Infants
Authors: Slinning Regine , Agyei Seth B. , Kristoffersen Silje Hognestad , van der Weel F. R. (Ruud) , van der Meer Audrey L. H. 
Published: December 2024

ABSTRACTObject permanence allows infants to interact successfully with objects in the environment. What happens in the human infant brain when objects move in and out of sight? This study used high‐density electroencephalography (hdEEG) to record induced oscillatory brain activities in 29 locomotor infants before, during, and after occlusion of a moving object traveling at different speeds. Temporal spectral evolution (TSE) showed that before and after the occlusion event, event‐related synchronized (ERS) brain activity was observed, whereas event‐related desynchronized (ERD) activity was detected when the car was hidden behind the occluder. Both synchronized and desynchronized brain activities were found in the gamma frequency band (>30 Hz) in visual areas. Coherence connectivity analysis showed significant cluster differences before and during occlusion, during and after occlusion, and before and after occlusion in the gamma (30–150 Hz) and theta range (4–7 Hz) in several brain sources of interest. It was concluded that locomotor infants between 8.5 and 12 months of age show high‐frequency brain oscillations while perceiving a moving object going temporarily out of sight. The significant cluster differences indicate the beginning of specialized connectivity networks, where object permanence is processed within dedicated visual, parietal, and central areas along the dorsal processing stream.
Neural Correlates of Emotion Regulation and Associations With Disordered Eating During Preadolescence
Authors: Thomas Kai S. , Jones Catherine R. G. , Williams Marc O. , Vanderwert Ross E. 
Published: December 2024

ABSTRACTDifficulties with emotion regulation have been documented in individuals with eating and internalizing disorders. However, there is limited research examining the cognitive processes underlying these difficulties. Using a dimensional approach, the current study examined the link between the behavioral and neural correlates of response inhibition, disordered eating, and internalizing symptoms in a community sample of preadolescents. A total of 50 children (M age = 10.9 years; 58% male) completed an emotion Go/No‐Go task, while ERP components were recorded, as well as self‐report measures of disordered eating and internalizing symptoms. In addition, children completed an emotion recognition task to establish whether there were fundamental differences in emotion recognition across high and low levels of disordered eating and internalizing symptoms. Increased disordered eating was associated with increased mean P3‐NoGo amplitudes when inhibiting responses to happy facial expressions, as well as poorer recognition of happy faces. These associations were not found for internalizing symptoms. Our findings suggest an early disruption in response inhibition, specifically for happy emotional expressions, may be relevant to the development of disordered eating behaviors in preadolescence.
Cognitive and Neurobiological Correlates for Switching/Inhibition Moderate the Relations Between Word Reading and Reading Comprehension in Hebrew‐Speaking Children: An fMRI Study
Authors: Horowitz‐Kraus Tzipi , Abo‐elhija Donia , Apter Alan , Kraus Dror , Steinberg Tamar , Radhakrishnan Rupa , Barazany Daniel , Farah Rola 
Published: December 2024

ABSTRACTThe expanded Simple View of Reading model suggests language processing and word reading as contributors to reading comprehension and points at the participation of executive functions as supporting these abilities. Switching and inhibition are both executive functions (EF) contributing to reading, especially in languages with two writing systems—shallow and deep, such as Hebrew. Here, we aimed to determine the specific role of switching/inhibition both cognitively and neurobiologically in the Simple View of Reading model among 49 eight‐ to 12‐year‐old Hebrew‐speaking children. Children underwent reading and cognitive behavioural testing as well as a five‐min resting‐state fMRI scan. Functional connectivity of the fronto‐parietal network related to switching/inhibition was determined and included in a moderation model. Results suggest that both switching/inhibition abilities and functional connectivity within the fronto‐parietal network moderate the relations between word reading and reading comprehension. This strengthens the contribution of switching/inhibition to facilitating reading comprehension and supports the need to include it as part of the expanded SVR model.
Thin Nickel Coatings on Stainless Steel for Enhanced Oxygen Evolution and Reduced Iron Leaching in Alkaline Water Electrolysis
Authors: Deo Yashwardhan , Thissen Niklas , Seidl Vera , Gallenberger Julia , Hoffmann Julia , Hofmann Jan P. , Etzold Bastian J. M. , Mechler Anna K. 
Published: December 2024

ABSTRACTOne of the most mature technologies for green hydrogen production is alkaline water electrolysis. However, this process is kinetically limited by the sluggish oxygen evolution reaction (OER). Improving the OER kinetics requires electrocatalysts, which can offer superior catalytic activity and stability in alkaline environments. Stainless steel (SS) has been reported as a cost‐effective and promising OER electrode due to its ability to form active Ni‐Fe oxyhydroxides during OER. However, it is limited by a high Fe‐to‐Ni ratio, leading to severe Fe‐leaching in alkaline environments. This affects not only the electrode activity and stability but can also be detrimental to the electrolyzer system. Therefore, we investigate the effect of different Ni‐coatings on both pure Ni‐ and SS‐supports on the OER activity, while monitoring the extent of Fe‐leaching during continuous operation. We show that thin layers of Ni enable enhanced OER activities compared to thicker ones. Especially, a less than 1 µm thick Ni layer on an SS‐support shows superior OER activity and stability with respect to the bare supports. X‐ray photoelectron spectroscopy reveals traces of oxidized Fe species on the catalyst surface after OER, suggesting that Fe from the SS may be incorporated into the layer during operation, forming active Ni‐Fe oxyhydroxides with a very low Fe leaching rate. Utilizing inductively coupled plasma‐optical emission spectroscopy, we prove that thin Ni layers on SS decrease Fe leaching whereas the Fe from the uncoated SS‐support dissolves into the electrolyte during operation. Thus, OER active and stable electrodes can be obtained while maintaining a low Fe concentration in the electrolyte. This is particularly relevant for application in high‐performance electrolyzer systems.
A Storm Frame Optimization Method for Predicting and Warning the Safety Status of a Shearer
Authors: Zhang Pei , He Yanpeng , Ma Li , Cong Changkui 
Published: December 2024

ABSTRACTReal‐time monitoring, prediction, and early warning of operating status during intelligent mining are the key to ensuring stable production. To solve the problem of lag in determining the operating status of a shearer, this study proposes a new method for predicting and warning the real‐time operating status of the shearer involving the Storm framework, based on parallel optimization of data processing and the gated recurrent unit (GRU) model based on hyperparameter optimization. First, the GRU model is optimized through hyperparameter optimization to achieve adaptive and accurate prediction and early warning of multidimensional state parameters of the shearer. Second, a virtual machine is constructed to host the Storm framework, parallel optimized real‐time processing of data is performed on the Storm framework, and real‐time data flow patterns are constructed to speed up data processing and retrieval, ensuring each tuple is fully processed through the topology structure. Finally, the optimized GRU model is embedded into the optimized Storm framework to achieve real‐time prediction and early warning of different dimensional data of the shearer. The prediction accuracy, early warning accuracy, and processing efficiency of the Storm platform are used as evaluation indicators to analyze and evaluate the model, verifying the efficiency and applicability of the proposed model. Experimental results show that the model has a prediction accuracy of 93%, an early warning accuracy of 93.05%, and consumes 10 s. It can achieve high performance, low latency, and high precision in predicting and providing early warnings for the shearer's state parameters, greatly improving the efficiency of predicting and early warning the operating status parameters of the shearer. This model realizes real‐time prediction and early warning of the shearer's operating status, providing technical support for intelligent mining in coal mines.
Fluconazole for Preventing Radiation‐Induced Oral Mucositis: A Randomized Controlled Trial
Authors: Ueangphairot Waranyu , Muangwong Pooriwat , Suwannaphong Phimchat , Youngchim Sirida , Thammasit Patcharin , Kittidachanan Kittikun , Chitapanarux Imjai 
Published: December 2024

ABSTRACTBackgroundThis study evaluated the efficacy of fluconazole prophylaxis in reducing radiation‐induced oral mucositis (RIOM) and Candida carriage in head and neck cancer (HNC) patients undergoing concurrent chemoradiotherapy (CCRT).MethodsA prospective, double‐blinded, randomized controlled trial was conducted with 78 HNC patients receiving either fluconazole (100 mg daily) or placebo during CCRT. The primary outcome was the incidence of grade 2 or higher RIOM. Secondary outcomes included positive Candida cultures and colony‐forming units (CFUs). Mixed‐effects ordinal logistic regression and logistic regression were used for analysis.ResultsFluconazole significantly reduced the incidence of grade 2 or higher RIOM at week 7 (p = 0.039), positive Candida carriage at week 4 (p = 0.024) and week 7 (p = 0.029), and median CFUs at week 7 (p = 0.050).ConclusionsFluconazole significantly reduces RIOM severity and Candida colonization in HNC patients undergoing CCRT, suggesting its efficacy as a prophylactic treatment.
Post‐Traumatic Stress Symptoms in Head and Neck Cancer Patients: The Impact of the COVID‐19 Pandemic and Gene–Environment Interaction
Authors: Pequeno Daniel Paixão , Carron Juliana , Gaspar Karla Cristina , Lima Carmen Silvia Passos , de Dantas Clarissa Rosalmeida , Lourenço Gustavo Jacob 
Published: December 2024

ABSTRACTBackgroundThis study aimed to assess the occurrence of post‐traumatic stress symptoms (PTSS) in head and neck cancer (HNC) patients. The goal also was to explore potential associations between PTSS, demographic factors, psychological variables, and specific genetic variants.MethodsThis study included a total of 155 HNC patients, divided into pre‐pandemic (n = 76) and COVID‐19 pandemic (n = 79) groups. PTSS assessments were conducted using a standardized questionnaire. The assessment of adverse childhood experiences (ACEs) involved specific questionnaire items. Genetic variants were identified via RT‐PCR. Statistical analysis employed linear multivariate regression, while mediation analysis examined gene–environment interactions.ResultsIn the pre‐pandemic, higher PTSS scores were found to be associated with younger age (p = 0.02) and a history of cumulative ACEs (p = 0.001). Mediation analysis revealed that ACEs had a direct impact on PTSS scores, with the FKBP5 CC genotype (rs1360780, C>T) mediating this association by 29%. In the pandemic, elevated PTSS scores were correlated with a history of depression (p = 0.001), the negative impact of the pandemic (p = 0.007), and undergoing palliative treatment (p = 0.02).ConclusionsOur findings provide insights into the psychosocial and genetic factors contributing to PTSS in HNC patients, considering the additional stressors introduced by the COVID‐19 pandemic.
Breaking Traditions: Evaluating Single Fraction Radiation in Indolent Lymphoma
Authors: Ababneh Hazim S. , Patel Chirayu G. 
Published: December 2024

ABSTRACTAs indolent non‐Hodgkin's lymphomas (iNHLs) are very radiosensitive, radiation treatment (RT) has been established as an essential curative and palliative modality for early and advanced stages of the disease. Several studies have explored the role of very low‐dose RT for palliation in indolent non‐Hodgkin's lymphomas, demonstrating that this approach can lead to high rates of local control, and thereby, help improve the quality of life for these patients. While the most common schedule of very low‐dose RT used in the palliative setting is 4Gy in 2 fractions, which was established in the landmark FoRT trial, this requires patients to be available for two RT sessions, increasing the financial and opportunity costs for the patient. Currently, data regarding the use of a single fraction of very low‐dose RT (4Gy) for treating iNHLs in the palliative setting is still lacking. In this viewpoint, we aim to draw attention to this approach, where we emphasize the need for further exploration of the single‐dose fractionation schedule as a non‐toxic, simple, and easy treatment approach for iNHLs, which would inform future clinical trials to investigate this dose/fractionation.
Numerical Analysis of the Heat and Mass Transfer in a Ventilated Cavity for Turbulent Convective Flow With Extreme Hot and Humid Climate Conditions
Authors: Serrano‐Arellano J. , Demesa López F. N. , Aguilar‐Castro K. M. , Belman‐Flores J. M. 
Published: December 2024

ABSTRACTTo analyze the temperature and relative humidity (RH) in a room located in the Lacandona jungle in Chiapas, Mexico, a numerical heat and mass transfer study was performed. The study was carried out in a ventilated cavity, by introducing air flow into user‐occupied spaces. The study analyzed the combination of temperature and humidity percentage to create thermal comfort conditions. The finite volume method was used to solve the governing equations, while pressure–velocity coupling was done with the SIMPLEC algorithm. Turbulent airflow was considered, and modeled using the k–ε turbulence model, with Reynolds numbers (Re) in the range from 100 to 5000. Seven sets of weather conditions were considered for a warm April day with solar radiation values that ranged from 0 to 981 W/m², outdoor temperatures between 19.9°C and 35.3°C, as well as RH from 42% up to 100%. The study analyzed temperature, RH, distribution efficiencies, and heat fluxes. It was found that the average temperature closest to thermal comfort was 25.8°C. This corresponds to an Re = 5000, being the best hygrothermal conditions with an average RH of 50%. However, this level of RH is unattainable by many air conditioning systems.
CEO Inside Debt and Corporate Investment Efficiency
Authors: Girardone Claudia , Li Jiyuan , Li Yiwei , Zhao Mengying 
Published: December 2024

ABSTRACTThis paper investigates whether and how the chief executive officer (CEO)'s inside debt holding influences a firm's investment policy. Our evidence on a sample of US S&P 1500 firms indicates that CEO inside debt can significantly improve investment efficiency and help to overcome both over‐investment and under‐investment, suggesting that the CEO's higher positions of inside debt can lead to optimal investment decisions. The results are robust when we use PSM, entropy balancing, the Heckman two‐stage method and the lagged value of the independent variables to mitigate the endogeneity concerns and other robustness checks. Furthermore, we document that the effectiveness of the CEO inside debt on investment is not sensitive to agency problems, as well as financial constraints. Overall, we confirm the importance of investigating the effect of managerial inside debt holdings on corporate capital investment and provide new insights into how inside debt mitigates agency problems.