bluuebunny/crossref_metadata_2025_split huggingface dataset:
The impact of cyclin-dependent kinases 4 and 6 inhibitors in the immune response to mRNA SARS-CoV-2 vaccine in women with breast cancer.
Authors: Saavedra Cristina , Vallejo Alejandro , Longo Federico , Serrano Juan José , Fernández-Abad María , Gion María , López-Miranda Elena , Martínez-Jáñez Noelia , Guerra Eva , Chamorro Jesús , Rosero Diana , Velasco Héctor , Martín Adrián , Carrato Alfredo , Casado Jose Luis , Cortés Alfonso 
Published: July 2022

Abstract
Introduction:Patients with cancer have a higher risk of complications and death from coronavirus disease 2019 (COVID19), thus vaccination is crucial in this population. Oncologic therapies can affect vaccination response, but few data are available about the immune response to mRNA SARS-CoV-2 vaccines in patients with breast cancer receiving cyclin-dependent kinases 4/6 inhibitors (CDK4/6i). Our study aimed to assess the immunogenicity and safety of the mRNA-1273 vaccine in patients treated with CDK4/6i in comparison with a group of volunteer health workers. Methods:We conducted a prospective, single-center study including patients with breast cancer treated with CDK4/6i and a comparative group of health care workers (HCW). Blood samples were collected before and after first dose administration, and after second dose. The primary endpoint was to compare the rate and magnitude of humoral and T-cell responses after full vaccination. Neutralizing antibodies titers , the correlation between neutralizing and anti-S antibodies, the incidence of COVID-19 after vaccination, and safety were defined as secondary objectives.Results:No differences were observed in the rate of either anti-S or neutralizing antibodies after full vaccination, being 100% in both groups. A positive correlation was found between neutralizing and anti-S antibodies. However, the rate of anti-S CD4 and CD8 T-cell response after complete vaccination was a 15% lower in the CDK4/6i group, although differences were not statistically significant (CD4 T-cell response 69.2% vs 84.6%; p 0.324; anti-S T-cell CD8 response 69.2% vs 84.6%; p 0.324). No differences in the incidence of COVID-19 after vaccination were found (19.2% vs 11.5%, p 0.703). Patients with vaccine breakthrough showed lower levels of anti-S antibody after the first dose (492.29 vs 157.96; p 0.029) and lower titers of neutralizing antibodies after full vaccination (p 0.068). The rate of adverse events was higher in patients treated with CDK4/6i. No serious adverse events were reported in any of the two groups.Conclusion:While a robust humoral response was observed in the CDK4/6i group, a limited T cell response was found, without differences in the rate of subsequent COVID-19. Further insight into the underlying mechanisms is crucial to improve breast cancer patients’ protection and to adjust vaccination strategies in this specific population.
Compact and Asymmetric Fed Modified Hexagonal Shaped Multiple-Input Multiple-Output (MIMO) Antenna for 5G Sub: 6 GHz (N77/N78 &amp; N79) and WLAN Applications
Authors: Gollamudi Naveen Kumar , Narayana Y. V. , Prasad A. Mallikharjuna 
Published: July 2022

Abstract
In the current work, a compact and modified hexagonal-shaped circular MIMO antenna for WLAN and 5G sub-6GHz applications is presented. The proposed MIMO antenna works in the band of 2.95 to 6.3 GHz, that covers the complete range of 5G sub: 6 GHz (N77/N78 & N79) and WLAN bands. The overall working region is obtained with isolation of greater than 15 dB. With an impedance of 50 strip line, the suggested MIMO antenna is excited using an asymmetric feeding approach. Simulated and measured results from fabricated prototypes are used to confirm the diversity and radiation performance of the proposed MIMO antenna. The diversity metric parameters ECC, DG, TARC, CCL, and MEG values demonstrate strong agreement. The construction is created on a FR4 substrate with dimensions of 20 × 34 mm2, 1.6 mm in height, and 4.4 as the constant. The structure has efficiency and gain values of above 83% and 0.2 to 3 dBi, respectively.
Effects of Long-term Climate Change on Typhoon Rainfall near Taiwan: Mindulle (2004) and Morakot (2009) with Southwesterly Monsoon Flow
Authors: Wang Chung-Chieh , Tseng Li-Shan , Huang Chien-Chang , Chuang Pi-Yu , Su Nan-Chou , Chen Cheng-Ta , Lo Shih-How , Tsuboki Kazuhisa 
Published: July 2022

Abstract
Typhoons Morakot (2009) and Mindulle (2004) were two of the most-rainy and damaging typhoons to hit Taiwan on record, where both cases are associated with strong low-level southwesterly monsoon flows. To quantitatively assess the fraction of rainfall that is attributable to long-term climate change, the two storms are simulated with a cloud-resolving model (CRM) using the pseudo-global-warming (PGW) methodology. For each storm, two scenarios are simulated and compared—the control run in present-day climate and the sensitivity test in past climate four decades ago, where the climate-change signal (“deltas”) is computed using global reanalysis data as the difference between 1950–1969 and 1990–2009. Being realistically reproduced by the CRM at 3-km grid size in the control run, both typhoons progress in the sensitivity test with highly similar evolution with their present-day counterpart, where background of the sensitivity run is slightly cooler and drier. Under modern climate, both Morakot and Mindulle produce more rainfall by about 5 mm per day within 300–400 km from the center during their lifespan (equal to an increase of ~4–8%) compared to their counterparts in past climate. Such results are in close agreement with previous studies, and the shift in mean daily rainfall is tested as statistically significant at a confidence level of 99.5%. The water budget analysis shows that the increased rainfall in the control run is accounted for mainly by the low-level convergence of moisture associated with both a stronger secondary circulation and a higher precipitable water amount.
Effects of single circular synthetic jet on turbulent boundary layer
Authors: Zhang Jinhao , Li Biao-Hui , Jiang Nan 
Published: July 2022

Abstract
The periodic synthetic jet emerging from a circular hole actively controls the turbulent boundary layer (TBL). A time-resolved particle image velocimetry (TR-PIV) system was designed to capture the velocity field database and based on the single-pixel ensemble correlation (SPEC) algorithm, an average drag reduction rate of 6.2% was obtained. The results show that the synthetic jet causes a wide range of low momentum zones and a low-speed streak in the downstream flow field. And the places where the disturbance intensity is strong are often accompanied by a larger velocity deficit. The instantaneous flow fields are visualized with the Finite-Time Lyapunov Exponent (FTLE), and the hairpin vortex packet composed of five hairpin vortices and the generation of new hairpin vortices are observed when there is no control. Under the action of the synthetic jet, the hairpin vortices are continuously generated from the jet hole. The synthetic jet mainly achieves the drag reduction effect mainly by modulating the mean convection term and the spatial development term . The drag reduction effect appears in the region of x/δ0>0.38, and the maximum drag reduction rate is 12.2% at x/δ0=0.75, and then gradually decreased. Using proper orthogonal decomposition (POD), it is found that the synthetic jet reduces the energy proportion of the large-scale energetic structures. After the conditional average, the synthetic jet limits the influence range of bursting events at various scales in the near-wall region, and weakens the normal transport of momentum and energy brought about by large-scale ejection events (Q2 events) and the wall friction resistance caused by large-scale sweep events (Q4 events).
A Comparison of the Consolidation Properties of Different Samples of Sand
Authors: Çellek Seda 
Published: July 2022

Abstract
This study aims to determine the properties of consolidation on different sand samples. The four sands were Type 1, Type 5, Type 9, And Type 13. Sand samples show that Type 1 sand comprises augite, hedenbergite, and Anorthite; Type 5 consist of Quartz, Anorthite, Muscovite; Type 9 consists of Quartz, Anorthite; and Type 13 is composed of quartz, anorthite, muscovite, and Anortheclast. Clean sand was used in the study, and grain distribution shows the poor distribution for all samples. Grain distributions were determined to aid in understanding the effects of grain size on Ec. According to this result, the original sand samples consist of fine and medium grains. Constraint elastic modulus (Ec) values were calculated for sand samples. The results obtained were analyzed, and an attempt was made to establish the effect of grain size and mineralogy on Ec values by comparison. It is seen that Ec values change for each sand sample and each compaction value. Under the load of 30 kPa, Type 1 and Type 13 sands exhibited a more stable behavior relative to Type 5 and Type 9 sands. Type 1 sand showed an Ec value of 10 for all the prepared compactions. Type 13 had the same Ec values, except for the lowest compaction. Type 5 and Type 9 displayed higher Ec values relative to the others. They also showed different values with changes in compaction.
Imaging of different crustal and mantle discontinuities below the Hyderabad, Eastern Dharwar Craton, India
Authors: Mandal Prantik , Gupta Sandeep , Sivaram K. , Kumar Sanjay , Kumar Sudesh , Biswas Rahul , Prathigada Raju , Prasad B. N.V , Saidixit M. 
Published: July 2022

Abstract
To monitor seismicity, a 10-station broadband seismic network was deployed in the Hyderabad region by CSIR-NGRI, Hyderabad, India, during 2020-21. The analysis of radial P receiver functions using data from this network detects conversions from five major crustal and mantle discontinuities below the region. Our CCP stacking of radial PRFs also images the nature and geometry of these seismic discontinuities viz., Moho (increase in positive amplitude at 30–40 km depths), Hales discontinuity (increase in positive amplitude at 90–120 km depths), lithosphere-asthenosphere boundary (LAB) (increase in negative amplitude at 130–160 km depths), 410-km (increase in positive PRF amplitude at 410–440 km depths) and 660-km (increase in positive PRF amplitude at 620–660 km depths). Our modeling also reveals that the mean depth to the Moho, Hales discontinuity and LAB below the study region are 36, 115 and 160 km, respectively, suggesting the absence of a thick cratonic root below the EDC. We also model the differential time of the 410-km and 660-km conversions, which is found to be 24 s at most of the stations that is the same as the theoretical differential time between these two phases according to the IASP91 global reference velocity model, indicating a typical cratonic behaviour of the EDC. However, a noticeable upward movement of the 410-km discontinuity and a slight downward movement of the 660-km discontinuity below the central part of the study region is also modelled that suggests a thickening of the Mantle transition zone, which could be attributed to the presence of probable imprints of the Archean subduction below the Hyderabad, EDC, India.
The tumor characteristics, treatment strategy and prognosis in colorectal cancer patients with synchronous liver metastasis in China and the U.S
Authors: Guan Xu , Jiao Shuai , Niu Haitao , Ma Xiaolong , Wang Kaifeng , Liu Enrui , Zhang Weiyuan , Wei Ran , Sun Peng , Chen Yinggang , Wang Xishan 
Published: July 2022

Abstract
Purpose
This study performed an analysis of clinicopathological characteristics, surgical treatment strategy and survival for CRC patients with LM between China and the U.S.
Methods
The CRC patients with simultaneous LM were identified from the Surveillance, Epidemiology, and End Results (SEER) registry and the Chinese National Cancer Center (CNCC) database from 2010 to 2017. We assessed 3-year cancer specific survival (CSS) according to surgical treatment strategy and time period.
Results
Differences in patient age, gender, primary tumor location, tumor grade, tumor histology, tumor stage were observed between the U.S. and China. Compared to the U.S., a larger proportion of patients in China underwent both primary site resection (PSR) and hepatic resection (HR) (35.1% vs 15.6%, P < 0.001), and fewer patients underwent only PSR in China (29.1% vs 45.1%, P < 0.001). From 2010 to 2017, the proportion of patient who underwent HR has increased from 13.9–17.4% in the U.S. and from 25.4–39.4% in China. The 3-year CSS were increasing over time in both the U.S. and China. The 3-year CSS of patients receiving HR and PSR were significantly higher than those receiving only PSR and patients treated with no surgery in the U.S. and China. There were no significant differences of 3-year CSS between the U.S. and China after adjustment (P = 0.237).
Conclusions
Despite the distinctions of tumor characteristics and surgical strategy in patients with LM between the U.S. and China, increased adoption of HR has contributed to the profound improvements of survival during recent decade.
Characterizing production parameters and synergistic effect of primary sludge and food waste co-digestion
Authors: Rakić Nikola , Šušteršič Vanja , Gordić Dušan , Jovičić Nebojša , Bošković Goran , Bogdanović Ivan 
Published: July 2022

Abstract
Batch experiments focusing on chemical oxygen demand (COD) balance appear to be appropriate method for proofing synergetic effects of co-digestion. Inclusions of small concentration of food waste (FW) as co-substrate to primary sludge (PS) provision improved nutrient balance for microbial strain, whereby not only biogas production increases but also enhances organic reduction at the end of the digestion process. The 1/3 mixing ratio of PS/FW (volume basis) showed the optimal performance with largest COD removal rate (52.8%), reaching the highest biogas production (618.7 ml/g VS). Greatest individual growth was found to be between co-digestions 1 and 2 (105.7 ml/g VS) rather than those among mono-digestion and co-dig 1 and co-digs 2 and 3, 47.2 ml/g VS and 66.1 ml/g VS, respectively. Synergy surplus exceeded the potential achieved in single-substrate batch tests and amounted 7.1%, 12.8% and 17% of input COD for co-digs 1, 2 and 3, respectively. No lag phase, uniform hydrolysis rate constant and higher biogas production rate was observed with the increase in co-substrate concentrations. Even though volume added into mixtures was relatively low, food waste contributed the most towards total biogas generation.
Integrated transcriptome and DNA methylome analyses reveal the molecular regulation of drought stress in wild strawberry (Fragaria nilgerrensis)
Authors: 曹 强 , Huang Lin , Li Jiamin , Qu Peng , Tao Pang , Zhang Ticao , Qiao Qin 
Published: July 2022

Abstract
Background
Fragaria nilgerrensis is a diploid wild strawberry, which is densely covered with yellow-brown sericeous on the whole plant, giving them excellent drought resistance. Hitherto, the general mechanism of drought resistance of F. nilgerrensis is unknown. We therefore investigated the drought response regulatory networks of F. nilgerrensis based on the integrated analysis of DNA methylation, transcriptome and physiological traits during four continuous time points under drought stress.
Results
The most differentially expressed genes (DEGs) and the corresponding physiological changes were found at 8 days (T8) compared with 0 day (T0, control). Methylome analysis revealed slight dynamic changes in genome-wide mC levels under drought conditions, while the most hypomethylated and hypermethylated regions were identified at T4 and T8. Association analysis of methylome and transcriptome revealed that genes that were not expressed in mCHG and mCHH contexts exhibited the expected hypermethylation levels, and highly expressed genes exhibited corresponding hypomethylation levels in the gene body, but CG methylation showed the opposite trend. Notably, hypomethylation was found to contribute to the increase in gene expression levels during the drought-critical period (T8). Then, the identified 835 differentially methylated and expressed genes were grouped into four clustering patterns to characterize their functions. The genes with either negative or positive correlation between methylation and gene expression were mainly associated with Kinases, ROS synthesis, scavenging, ABA signal pathway, etc. Consistently, weighted gene co-expression network analysis (WGCNA) revealed Hub genes including NCED, CYP707A2, PP2Cs and others that play important roles in the ABA signaling pathway.
Conclusions
F. nilgerrensis drought is dominated by ABA-dependent pathways, possibly accompanied by ABA-independent crosstalk. DNA methylation affects gene expression, although there is no common pattern or correlation between DNA methylation and gene expression on gene number. Maintaining the balance between ROS regeneration and scavenging is an important factor in drought resistance in F. nilgerrensis. These results would deepen our understanding of drought resistance and its application in breeding in strawberry.
COVID-19 Vaccine: Vaccine Acceptance, Risk Perception, and Attitude Towards Vaccination among College Students and Staff in the Southeastern Universities, Nigeria
Authors: Onwe Reuben O. , Nnaemeka Victory C. , Ekwedike Adaku L. , Ihedioha John I. , Ahamefule Chukwuemeka S. , Nnabuife Obianuju O. , Ike Anthony C. 
Published: July 2022

Abstract
University students occupy a strategic position in the spread of coronavirus disease 19 (COVID-19) as they regularly travel around different locations with differing prevalence of the disease. This study was carried out to evaluate the acceptance of COVID-19 vaccines among university staffs and students in Southeastern universities of Nigeria. Self-administered anonymous online survey was conducted between 28th February and 30th June 2021, using various online social media handles. A total of 769 students and staff members participated in the study. Descriptive statistics for socio-demographics and other parameters were performed. The relationships between tested parameters were ascertained using bivariate Pearson’s correlation. Multiple linear regression analyses were done to determine associations. All statistical analyses were performed using IBM SPSS statistics 23 and P value < 0.05 was considered statistically significant at 95% CI. The respondents were 48.1% female and 51.9% male with a mean age of 24.4 years. The acceptance rate of COVID-19 vaccine was 25.6% and 82.2% of participants expressed concern about the side effects of the vaccine. While the age, gender and states of respondents were positively associated, their faculties were negatively associated with risk perception of COVID-19 vaccine. Also, the various faculties, university affiliations (P = 0.029), and age (P = 0.023) of the respondents were negatively associated, while the State of the respondents (P = 0.01) was positively associated with attitudes towards general COVID-19 vaccination. There is need for more robust information and better dissemination of such among the public to boost their confidence in COVID-19 vaccination.
Optimization Strategies for CNN-Based Modeling of Photonic Crystal Nanocavities
Authors: Chen Zihan , Li Renjie , Zhang Zhaoyu 
Published: July 2022

Abstract

The quality (Q) factor and the mode volume are the two most important properties of optical resonances realized by Photonic Crystal (PC) nanocavities. A higher Q-factor means a stronger ability of the cavity to confine optical energy inside of itself and a smaller mode volume will lead to smaller device foot- print and higher degree of integration. The traditional method to calculate the Q factor and mode volume of a PC nanocavity with a fixed design is to verify it in a simulation software. To improve the efficiency of the validation procedure, a Convolutional Neural Network (CNN) based approach has been designed to predict these two target values. In this paper, an overview of existing predictive CNN models is provided, and the hyperparameter optimization used to improve the accuracy and correlation of predictions by the model is shown. All in all, the authors propose a possible optimization strategy for the current CNN model applied in photonics forward predictions and also provide a general framework for the hyperparameter optimization of CNNs with non-image inputs and multiple outputs.
Directed information flow during laparoscopic surgical skill acquisition dissociated skill level and medical simulation technology
Authors: Dutta Anirban , Kamat Anil , Makled Basiel , Norfleet Jack , Schwaitzberg Steven , Intes Xavier , De Suvranu 
Published: July 2022

Abstract
The comparison of the effects of physical and virtual reality (VR) simulators on the brain network during skill acquisition has not been well addressed. In this study, the brain network and skilled behavior relationship were evaluated using functional near-infrared spectroscopy (fNIRS) data from seven experienced right-handed surgeons and six right-handed medical students during the performance of a well-established Fundamentals of Laparoscopic Surgery (FLS) pattern of cutting tasks. Multiple regression path analysis found that the FLS performance score was statistically significantly related to the interregional directed functional connectivity from the right prefrontal cortex to the supplementary motor area with F(2, 114) = 9, p < 0.001, and R2 = 0.136. The coefficient of variation (CoV) of the FLS performance score was statistically significantly related to the CoV of the interregionally directed functional connectivity from the right primary motor cortex to the left primary motor cortex and the left primary motor cortex to the left prefrontal cortex with F(2, 22) = 3.912, p = 0.035, and R2 = 0.262. Additionally, a two-way multivariate analysis of variance (MANOVA) found a statistically significant effect of the simulator technology on the interregional directed functional connectivity from the right prefrontal cortex to the left primary motor cortex (F(1,15) = 6.002, p = 0.027; partial η2 = 0.286). This involvement of the right prefrontal cortex is potentially related to the uncertainty that underpins FLS task performance based on skill level and medical simulator technology.
Active damping control of HEVs using Ansys and Matlab/Simulink software
Authors: Kassa Mersha Tewodros , Du Changqing 
Published: July 2022

This paper presents Parallel Hybrid Electric Vehicles (HEVs) powertrain design as well as a motor-based control approach that is designed to control or reduce driveline oscillations by introducing a Proportional-Integral-Derivative (PID) controller and a Fuzzy logic sliding mode controller. Because the torque of the electric motor can be decreased or increased more quickly than that of the Internal Combustion Engine (ICE), the vibration increases significantly. To solve this problem, an electric motor control-based Active Damping Control (ADC) strategy is employed to assure smooth driveline function and provide seamless driving experience for the driver. First, the basic level modeling of a hybrid electric powertrain in Ansys Simplorer environment is created and the performance was studied during the certification drive cycle. Thus, the main components of the powertrain– traction motor, battery and ICE – are researched, and basic models were built. The components were developed based on the Ansys software by using an automotive system level behavioral HEV library with VHDL-AMS language built in Ansys Simplorer environment. In addition, comparison of both controllers was presented. The simulation results show that using the ADC reduces more than 30 % of the driveline oscillations, thereby improving the drivability of HEVs.