bluuebunny/crossref_metadata_2025_split huggingface dataset:
A2D Sim: Atom-to-Device Simulation Platform for Quantum Device Simulations
Authors: Junghare Rajesh , Patil Ganesh C 
Published: June 2023

Abstract
This study presents the atom-to-device simulation (A2D Sim) platform to assess the performance of two-dimensional (2D) channel material based field effect transistors (FETs) using a multi-scale approach made up of density functional theory (DFT), tight binding based on Wannier functions, and NEGF. The models utilized in the platform cover the linear, saturation, and subthreshold working regimes of the FETs and have been developed from the fundamentals, taking into account the physics of 2D semiconductors. Further, the tool proposed in this work has been validated with the experimental results and can be easily employed for efficient exploration of integrated circuits and memories based on the FETs. The A2D Sim platform has also been used for the several case studies which includes, 1) edge passivation in armchair silicene nanoribbon based FETs, 2) strain effects on fully hydrogenated silicene 3) effect of Fermi level pinning on silicene based armchair Schottky barrier (SB) FETs and 4) effect of scattering on silicene based armchair SBFETs. As a result, the developed A2D Sim provides not only a practical platform for material discoveries and benchmarking but also an easy-to-use open-source tool to obtain a simple understanding of the next 2D material based FET architectures.
The Antidepressant Effect of Magnolol on Depression-like Behavior of CORT-induced Depression Mice
Authors: Xu Chi , Ye Jiayu , Sun Yanting , Sun Xiujian , Liu Jing-gen 
Published: June 2023

AbstractAlthough the antidepressant effect of magnolol has been revealed in previous reports, the mechanism remains unclear. In this study, the antidepressant effect of magnolol on corticosterone-induced (CORT-induced) depressed mice was investigated in vivo. After 21 days of CORT induction, the mice showed marked depressive-like behaviors, with a decrease in sucrose preference score and an increase in immobility time in tail suspension test (TST) and forced swimming test (FST). Pretreatment with either magnolol (50 mg/kg, i.p.) or the kappa opioid receptor (KOR) antagonist nor-BNI (10 mg/kg, i.p.) prevented CORT-induced depression-like behavior and reduced CORT-induced dynorphin (DYN A) elevation in the hippocampal DG. However, no depression-like behavior was observed in mice with KOR downregulation in the DG. We further found that upregulation of DYN A in the DG caused depression, which was blocked by intraperitoneal injection of nor-BNI and modulated by magnolol. The present study demonstrated that magnolol could ameliorate CORT-induced depression-like behaviors, by modulating the DYN A/KOR system in the DG of the hippocampus.
Rapid response team can improve the perinatal outcomes of spontaneous umbilical cord vascular rupture during the labour– a retrospective cohort study of a tertiary hospital
Authors: Luo Jinying , Deng Lin , Huang Wenyan , Liao Qiuping , Zhou Jinfu , Yan Jianying 
Published: June 2023

Abstract

Background Spontaneous umbilical cord vascular rupture(UCVR)is a rare but catastrophic event, and may lead to fetal blood loss and severe perinatal morbidity and mortality. UCVR remains difficult to diagnose, so when it happen, the effective treatment is a key to improve the pregnancy outcomes.UCVR as an obstetric emergency situation especially for neonate, whether rapid response team(RRT) could have effectiveness on the pregnancy outcomes is rare reported. Methods A retrospective cohort study of twelve patients with spontaneous UCVR from 2012 to 2022 were undertaken. Data and images of UCVR were collected via the electronic case system.Demographic and clinical characteristics were collected by researchers. Results Twelve patients were diagnosed by postpartum placental examination and pathological examination. The mean age of participants was (29.67 ± 3.75) years, the mean BMI was (20.48 ± 2.43)kg/m2, the mean gestational age at which rupture occurred was (37.33 ± 2.61)weeks. The decision to delivery interval(DDI) was from 5 to 15 minutes.2 of them were marginal umbilical cord insertion, 5 were velamentous insertion. 9 cases were bloody amniotic fluid. Although all the umbilical cord lengths were within the normal range (38–70 cm), 5 had the umbilical cord around their necks. 10 were vein rupture, 1 was artery and 1 was both atery and vein rupture. About the pregnancy complications, mainly complicated with fetal distress,premature rupture of the membranes(PROM) ,anemia, velamentous cord insertion(VCI), GDM and racket placenta. 6 of them with abnormal placental insertion. all the neonates were admitted to the neonatal intensive care unit (NICU)for 1 to 63 days. Except for one case of stillbirth during the vaginal labour, there were 11 livebirths who underwent cesarean section. One died two days after birth due to severe complications.They were mainly complicated with hypoxic ischemic encephalopathy(HIE),severe neonatal asphyxia and neonatal pneumonia. But with a well prognosis after more than 1 year’s follow-up. Conclusions Early identification of spontaneous UCVR by FHR and character of amniotic fluid during labour is important. Once vascular rupture occurs, obstetric RRT should be activated and the emergency CS should be performed with shorter DDI to reduce perinatal mortality.
Identifying Methamphetamine Users through EEG Analysis: Harnessing hctsa and Machine Learning Approaches
Authors: Meynaghizadeh-Zargar Reza , Kazmi Sareh , Sadigh-Eteghad Saeed , Barati Abdollah , Shafiee-Kandjani Ali Reza 
Published: June 2023

Abstract
The objective of this study was to evaluate the potential of accurately distinguishing methamphetamine users from a cohort of healthy individuals by analyzing electroencephalography (EEG) signals and utilizing machine learning techniques. Ten participants with methamphetamine dependence and nine healthy individuals were subjected to a 19-channel EEG recording. A highly comparative time series analysis (hctsa) method was employed for feature extraction from the EEG signals. Subsequently, three machine learning techniques, namely logistic regression (LR), support vector machine (SVM), and random forest (RF), were implemented to process the data. A nine-fold cross-validation approach was utilized to prevent overfitting during the training process. Using the hctsa method, 6,070 features were extracted while discarding 1,682 erroneous or valueless data points. Forty informative features were selected for machine learning implementation. Although single features did not achieve 100% accuracy, combinations of two features resulted in two distinct states predicting values with 100% accuracy when employing the SVM approach. With three-feature combinations, SVM, LR, and RF techniques reached 100% accuracy in 134, 89, and 100 states respectively. The inclusion of four-feature combinations further increased these numbers, with SVM, LR, and RF achieving 100% accuracy in 2933, 3109, and 589 states respectively. Notably, only LR achieved 100% accuracy when using all 40 features. This study demonstrated that SVM, LR, and RF classifiers combined with feature extraction through the hctsa method exhibit an exceptional capacity to accurately identify methamphetamine users among healthy individuals using a single EEG channel with a classification accuracy of up to 100%.
The multi-hollow surface dielectric barrier discharge usage for the seeds' treatment aimed to the dustiness decrease of free-floating particles from agrochemicals
Authors: Slavíček Pavel , Štěpánová Vlasta , Fleischer Michal , Kelar Jakub , Tučeková Zlata Kelar , Jurmanová Jana , Pazderka Michal , Prášil Václav , Prášil Jan 
Published: June 2023

Abstract
The Multi-hollow Surface Dielectric Barrier Discharge (MSDBD) generated in ambient air at atmospheric pressure was used to treat maize, pea, wheat and parsley seeds. Plasma exposure was applied as a pre-treatment before the seeds coating with agrochemicals. The aim of this study was to decrease the dustiness of coated seeds using plasma pre-treatment. The optimization process of plasma treatment parameters for individual seed species consisted of choosing a suitable exposure time (20 s, 60 s) and airflow (10 L/min, 15 L/min). The plasma made the seeds' surface more hydrophilic; therefore, better agrochemicals adhesion was achieved on the seeds' surface. Wettability improvement was demonstrated via water uptake of seeds and apparent contact angle change. Ambient air plasma at a 15 L/min flow rate was measured using optical emission spectroscopy, and the values of vibrational (3000 K) and rotational (347 K) temperatures were obtained from spectra simulation. The surface temperature of the MSDBD ceramics plate was measured with a thermal camera for different gas flow rates and constant input power of 30 W because the temperature is crucial parameter for seed treatment. The surface morphology was not affected due to plasma treatment, even for a longer exposure time. A significant decrease in dustiness measured according to the Heubach method was achieved for pea (57.1%) and parsley (41.4%) seeds. A lower decrease in dustiness was registered in the case of wheat (14.6%) and maize (17%) seeds. The results showed that MSDBD plasma generated in the air at optimized conditions is able to decrease the coated seed dustiness regardless of seed type and size, while seeds germination and surface coverage percentage remained unchanged.
Air Quality and Health Impacts of the 2020 Wildfires in California
Authors: Carreras-Sospedra Marc , Zhu Shupeng , MacKinnon Michael , Lassman William , Mirocha Jeffrey D. , Barbato Michele , Dabdub Donald 
Published: June 2023

Abstract
Background:
Wildfires in 2020 ravaged California to set the record of area burned to date. Clusters of wildfires in Northern California surrounded the Bay Area covering the skies with smoke and rising the air pollutant concentrations to hazardous levels. This study uses the Fire Inventory from the National Center for Atmospheric Research database and the Community Multiscale Air Quality model to estimate the effects of wildfire emissions on air quality during the period from August 16 to October 28 of 2020. In addition, low-cost sensor data for fine particulate matter (PM2.5) from the PurpleAir network is used to enhance modeled PM2.5 concentrations. The resulting impacts on ozone and PM2.5 are used to quantify the health impacts caused by wildfires using the Benefits Mapping and Analysis Program – Community Edition.
Results:
Wildfire activity increased direct PM2.5 emissions and PM2.5 and ozone precursor emissions substantially, with PM2.5 direct emissions increasing by up to 38 times with respect to an average day. Modeling results suggest that wildfires alone contributed to increasing ozone daily maximum 8-hour average by up to 10 ppb and to exceeding PM2.5 air quality standards in many locations by up to 10-fold. Modeled PM2.5 concentrations are biased low with respect to measurements, but the use of PurpleAIr data to correct modeled PM2.5 concentrations helps improve the bias. PurpleAir data correction increases the estimates of wildfire-induced mortality due to PM2.5 exposure by up to 16%.
Conclusions:
The estimated magnitude of increased hospital admissions and premature mortality due to wildfires is comparable to the health impacts avoided by air pollution control strategies designed to meet ozone and PM2.5 air quality standards, which means that widespread wildfire emissions can undermine years of continued efforts to curb air pollution. The use of low-cost sensor data helps refine the estimates of the health impacts of PM2.5 from wildfires.
Perception of Visitors and Residents on Pedestrian Environment of Heritage Cities
Authors: Shi Yi , Mohidin Hazrina Haja Bava , Harumain Yong Adilah Shamsul 
Published: June 2023

Abstract
A heritage city is an urban agglomeration with one or more World Heritage Sites (Roders 2010; Roders and Van Oers 2011). Most heritage sites are car-free destinations in China because the roads in heritage cities are generally narrow. This study examines the ratings of environmental factors and perception of the environment of Gulangyu, China, by both residents and visitors and analyses how different groups perceive the environment while walking. The purpose of this research is to create a more functional walking environment and to achieve a balance between the needs of both groups. Two analytical methods - correlation and logistic regression - were used to analyse the environmental factors and walking perceptions using SPSS software. The logistic regression analysis suggests creating a more pedestrian-friendly environment for residents. Attention should be paid to five factors: comfort level, lighting, building maintenance, commercial attractiveness, and historic buildings. The four factors significantly impacting visitors' walking experience are road cleanliness, the indicating system, building facades along the street, and walking pleasure. The differences in the walking perceptions of residents and visitors suggest that the different purposes of walking for different types of people can lead to different concerns and experiences of the environment.
Potentials of Rice bran and Oil palm fibre as substrate for Exo-Β-Glucanase Production by Penicillium Chrysogenum
Authors: Onuoha C. C. , Doughari J. H 
Published: June 2023

Abstract
This study explores β-glucanase production from Penicillium chrysogenum using rice bran and oil palm fiber as substrates in a submerged fermentation system. The optimal conditions for exo-β-glucanase production were found to be 96 hours of incubation, a pH of 4.5 for rice bran and 5.5 for oil palm fiber, and temperatures of 30°C for rice bran and 35°C for oil palm fiber, with ammonium sulphate and oil palm fiber as the best nitrogen and carbon sources, respectively. The enzymes were purified with 80% ammonium sulphate and dialysis tubing, resulting in a 1.09 to 1.50-fold increase in purification. The addition of chloride salts, surfactants, and EDTA impacted the activity of the enzyme. Based on its physiochemical properties, the partially purified enzyme has potential industrial and biotechnological applications, such as in beer production and as an additive in laundry detergents and saccharification.
STK3 kinase activation inhibits tumor proliferation through FOXO1-TP53INP1/P21 pathway in esophageal squamous cell carcinoma
Authors: Zhao Ziying , Chu Yuan , Feng Anqi , Wu Hao , Li Zhaoxing , Sun Mingchuang , Zhang Li , Chen Tao , Xu Meidong 
Published: June 2023

Abstract
Purpose Esophageal squamous cell carcinoma (ESCC) is an aggressive disease with a poor prognosis, caused by the inactivation of critical cell growth regulators that lead to uncontrolled proliferation and increased malignancy. Although Serine/Threonine Kinase 3 (STK3), also known as Mammalian STE20-like protein kinase 2 (MST2), is a highly conserved kinase of the Hippo pathway, plays a critical role in immunomodulation, organ development, cellular differentiation, and cancer suppression, its phenotype and function in ESCC require further investigation. In this study, we report for the first time on the role of STK3 kinase and its activation condition in ESCC, as well as the mechanism and mediators of kinase activation.Methods In this study, we investigated the expression and clinical significance of STK3 in ESCC. We first used bioinformatics databases and immunohistochemistry to analyze STK3 expression in the ESCC patient cohort and conducted survival analysis. In vivo, we conducted a tumorigenicity assay using nude mouse models to demonstrate the phenotypes of STK3 kinase. In vitro, we conducted Western blot analysis, qPCR analysis, CO-IP, and immunofluorescence (IF) staining analysis to detect molecule expression, interaction, and distribution. We measured proliferation, migration, and apoptosis abilities in ESCC cells in the experimental groups using CCK-8 and transwell assays, flow cytometry, and EdU staining. We used RNA-seq to identify genes that were differentially expressed in ESCC cells with silenced STK3 or FOXO1. We demonstrated the regulatory relationship of the TP53INP1/P21 gene medicated by the STK3-FOXO1 axis using Western blotting and ChIP in vitro.Results We demonstrate high STK3 expression in ESCC tissue and cell lines. Cellular ROS induces STK3 autophosphorylation in ESCC cells, resulting in upregulated p-STK3/4. This activation inhibits ESCC cell proliferation and migration by triggering apoptosis and suppressing the cell cycle. STK3 kinase activation phosphorylates FOXO1Ser212, promoting nuclear translocation, enhancing transcriptional activity, and upregulating TP53INP1 and P21. We also investigated TP53INP1 and P21's phenotypic effects in ESCC, finding that their knockdown significantly increases tumor proliferation, highlighting their crucial role in ESCC tumorigenesis.Conclusion STK3 kinase has a high expression level in ESCC and can be activated by cellular ROS, inhibiting cell proliferation and migration. Additionally, STK3-mediated FOXO1 regulates ESCC cell apoptosis and cell cycle arrest by targeting TP53INP1/P21. Our findings highlight the anti-tumor function of STK3 in ESCC and introduce a novel innate anti-proliferation balance mechanism that restrains the unlimited growth of ESCC.
Does artistic training affect color perception? A study of ERPs and EROs in experiencing colors of different brightness
Authors: Song Liting , Zhang Guanghui , Wang Xiaoshuang , Ma Lan , Silvennoinen Johanna , Cong Fengyu 
Published: June 2023

Abstract
Color is a visual cue that can convey emotions and attract attention, and there is no doubt that brightness is an important element of color differentiation. To examine the effect of art training on color perception, 44 participants with or without art training were assigned to two groups for an experiment. They scored emotional responses to color stimuli of different brightness levels based on the Munsell color system, and their EEG data was recorded simultaneously. The behavioral results revealed that high-brightness colors were rated more positively than low-brightness colors for both groups. Additionally, evoked event-related oscillation (ERO) results showed that the high-brightness stimuli for the artist group also elicited large delta, theta, alpha, and low gamma responses. Similarly, event-related potential (ERP) results for the artist group showed that high-brightness colors enhanced P2 and P3 amplitudes. Furthermore, non-artists had a shorter P2 latency and a longer N2 latency than artists, and there was a significant group × brightness interaction for the N2 and P3 components separately. Simple-effect analysis showed that N2 and P3 amplitudes for the artistic group were substantially higher for high-brightness stimuli than for lower-brightness stimuli, but not for the non-artist group. These results imply that high-brightness color stimuli trigger more positive emotions and attract stronger attention, and artistic training has a positive effect on top-down visual perception.
The Evaluation of Table Tennis Teaching Effect in Colleges and Universities Based on MOOC Technology in the Development Process of Smart City
Authors: Xu Shuping , Liang Lixin 
Published: June 2023

Abstract
With the development of the times, in the process of intelligent city development, the requirements for various indicators of urban facilities are constantly improved, and the teaching should also change with the changes of the times. MOOC storm was initiated by Harvard, MIT, Stanford and other top universities in the world, and then it shook the whole education circle. With the introduction of MOOCs into China, well-known MOOCs in China have also joined the army. Combining with the new teaching mode, we can realize the reengineering of the teaching process and redefine the classroom by flipping the classroom. This new teaching mode based on MOOCs has been popularized and applied in most subjects, and has achieved verifiable results. Although there are related studies, qualitative studies are still the main ones. There are few quantitative studies. The establishment of MOOC Center provides a better learning platform for teachers and students. In the process of learning and teaching, students and teachers can use this new teaching method to find more professional learning materials through Internet teaching on this perfect platform, so as to promote their professionalism and interest in learning table tennis. This study will study the teaching of table tennis in colleges and universities, and establish an evaluation model of teaching effect, so as to study whether this teaching model can play a positive role in students' learning sports theoretical knowledge, improving and mastering ball skills in the process of college public physical education. At the same time, the study habits of online learning are analyzed, and the characteristics of students' learning problems, learning patterns and behavior habits are excavated, which can provide reference for educational reform and innovation.
The interactive relationship between energy consumption and the social-economic-environmental complex system in rural areas.
Authors: Zhang Jiayao , Cheng Xin , Lei Yumeng , Shi Jinyi , Yu Ziyi , Geng Enyu , Li Lexin , Deng Jiaxuan 
Published: June 2023

Abstract
As an essential foundation for rural development, energy serves as a vital driving force in achieving sustainable development goals in rural areas. However, there is still limited empirical research on the relationship between rural energy and sustainable development goals. Therefore, this paper selects rural areas as the research subject. Based on panel data from 2008 to 2020, the PVAR model is used to explore the interactive relationship between energy consumption and the social-economic-environmental complex system from a dynamic perspective, and variance decomposition in the panel vector autoregressive model and the System GMM estimation are utilized for specific analysis. The research findings demonstrate that energy consumption in rural areas has a unidirectional promoting effect on economic development. Furthermore, the environmental development in rural areas has a positive driving force on energy consumption, economic development, and social development. Based on these results, feasible suggestions are proposed for the high-quality development of rural energy and the realization of sustainable development goals in rural areas.
The Effect of Incentives on the Use of Successive Relearning for Retaining Statistics and Epidemiology Concepts in a Medical Research Course
Authors: Greve Maren , Kawalec Jill , Jenks Viveka , Dunlosky John 
Published: June 2023

Abstract
Successive relearning (SR) combines retrieval practice across spaced study sessions. In particular, students attempt to recall to-be-learned information (with feedback) during each session until all concepts are correctly recalled and then return to the same material to repeat retrieval practice on multiple spaced practice sessions. Thus, students must begin using this technique several weeks before an exam, which may decrease their motivation for using it. The main question for the present research is: Will providing students with a small amount of class credit increase their likelihood of engaging in SR? First-year medical students in a Principles of Medical Research course were provided with an SR program that included (a) virtual flashcards containing definitions of statistical concepts (e.g., levels of measurement, central tendency, odds ratios, etc) that students practiced retrieving, (b) feedback after each retrieval attempt, and (c) schedules for using each virtual flashcard stack across three spaced practice sessions. Students received incentives in terms of class credit to complete SR sessions for half of the content but no incentive for the other half. A delayed practice test was administered to evaluate the impact of SR on retention. Using SR (vs. not using it) did boost retention of the concepts. And, most important, credit had a major impact, with students completing over 90 percent of the SR sessions that were assigned to receive credit but under 10 percent of the SR sessions that were optional.