bluuebunny/crossref_metadata_2025_split huggingface dataset:
Discrete-time constrained discounted stochastic games with an uncountable state space
Authors: Zhang Wenzhao , Liu Congying , Zou Xiaolong 
Published: October 2022

Abstract
In this paper, we consider nonzero-sum discrete-time constrained stochastic games with the expected discounted cost criteria and an uncountable state space. The cost functions are allowed to be unbounded from below and from above. First, we construct the auxiliary game models and the equivalent countable-state game models. Then, we formulate the best response linear programs and duality programs related to the game models, and undertake the duality analysis via a technique of occupation measures. By introducing the weak norm topology on the set of all stationary strategies, we establish the compactness and metrizability of the set of all stationary strategies and occupation measures. Finally, by the combination of countable-state approximation and duality analysis, we show the extension of Nash equilibria of the countable-state game models are ε-equilibria when the discretization of state space is suitable.
Lower ultra-short-term heart rate variability is a risk factor for worse mucosal healing in ulcerative colitis
Authors: Guo Jianan , Chen Wenguo , Zhu Huatuo , Chen Hongtan , Teng Xiaodong , Xu Guoqiang 
Published: October 2022

Abstract
Background
Psychological stress has been proved to be a risk factor for exacerbation for ulcerative colitis (UC). However, traditional approaches of quantifying psychological stress using psychological scales are time-consuming and the results may not be comparable among patients with different educational levels and cultural backgrounds. Alternatively, heart rate variability (HRV) is an indicator for psychological stress and not biased by educational and cultural backgrounds.
Aims
In this study, we try to explore the relationship between psychological stress and UC by analyzing the effect of ultra-short-term HRV on mucosal and histological remission status of UC.
Methods
This is a retrospective case-control study on UC inpatients from 2018 through 2020. Ultra-short-term HRV were calculated using baseline electrocardiography. Patients were divided into case and control groups according to their Mayo endoscopic scores or histological Geboes scores. Three variables of ultra-short-term HRV (SDNN, SDSD and RMSSD) were compared between different groups. And for those variables with significant differences, we built univariate and multivariate logistic regressions to depict the relationship between HRV variables and remission status of UC.
Results
All three HRV variables showed significant differences between the mucosal groups. However, none of them showed significant difference between the histological groups. In further logistic regression analyses, smaller RMSSD was detected as a risk factor for severe mucosal healing status (OR = 5.21).
Conclusions
Lower ultra-short-term HRV (i.e. smaller RMSSD) is shown to correlate with worse mucosal healing status. However, ultra-short-term HRV cannot predict histological healing status according to our data.
Surface Roughness Analysis in Finishing End Milling of Hardox® 450 Steel Using Multilayer Graphene-based Nanofluid
Authors: Passari Émerson S. , Souza André J. , Vilanova Abdiel M. 
Published: October 2022

Abstract
Hardox® 450 is a structural steel commonly used in the mining and agricultural sectors due to its hardness and toughness combined with high abrasion wear resistance. It is widely known that a good surface quality minimizes the occurrence of cracks generating higher fatigue resistance. However, the characteristics of this steel make it difficult to cut, resulting in greater complexity in the choice of process parameters. Additionally, the general industry concern for clean machining encourages the use of lubricooling conditions with less environmental impact. In order to address these difficulties, the paper aims to investigate the performance of multilayer graphene-based nanofluid applied in reduced quantity (NF-RQL) on surface roughness generated by finishing end milling of Hardox® 450 when compared to dry and flood machining. The cutting parameters at three levels were combined, randomized, and analyzed via Box-Behnken Design. The experimental results showed that the lowest roughness values were obtained with NF-RQL, followed by flood machining. The Abbott-Firestone and Amplitude Distribution statistical analysis indicated a greater uniformity of peaks and valleys in the roughness profile obtained by NF-RQL milling than in the other lubricooling environments. All prediction models demonstrated excellent ability to estimate the roughness values. The levels of cutting parameters obtained from the multivariate optimization generated similar roughness values for NF-RQL and flood conditions. However, the material removal rate with the first condition is about 83% higher, justifying its better performance.
Characterization of nitrated polycyclic aromatic hydrocarbons in secondary organic aerosol derived from photooxidation of naphthalene in the presence of NO2
Authors: Zhu Mincong , Huang Mingqiang , Wang Weichao , Shan Xiaobin , Sheng Liusi , Zhao Weixiong , Gu Xuejun , Zhang Weijun 
Published: October 2022

Abstract
Nitrated Polycyclic aromatic hydrocarbons (NPAHs) widely exist in atmospheric aerosol particles are important constituents of brown carbon. Naphthalene and other polycyclic aromatic hydrocarbons (PAHs) are vital precursors of NPAHs. The NPAHs components of secondary organic aerosol (SOA) generated by the photooxidation of naphthalene under different concentrations of NO2 in chamber are on-line measured using synchrotron radiation vacuum ultraviolet photoionization aerosol mass spectrometer (VUV-PIMS) and verified off-line with optical spectrometry in this study. The results demonstrate that NO2 can promote the generation of NPAHs and formation of SOA. Using VUV-PIMS on-line detection, and combined with off-line UV-Vis and infrared spectroscopy verification, it is determined that carboxyls and naphthols are main components of naphthalene SOA particles without NO2, and nitro-naphthalene, dinitro-naphthalene, nitro-naphthol and dinitro-naphthol via the nitration of OH-naphthalene adduct and naphthol products of naphthalene are identified as principal constituents of SOA with NO2. The increase of strong chromophore of N = O of nitro group in NPAHs strengthens the absorbing ability of naphthalene SOA particles. The averaged mass absorption coefficient (< MAC>) over 200–600 nm of naphthalene SOA particles is increases gradually with the increasing concentration of NO2. The < MAC > of naphthalene SOA particles with 1000 ppb NO2 is 688 cm2/g, which is close to to that of biomass burning organic aerosol particles. These results offer the reference for exploring the formation mechanism and optical properties of NPAHs under the background of high concentration of NOx in urban atmosphere.
D-Cycloserine enhances the bidirectional range of NMDAR-dependent hippocampal synaptic plasticity
Authors: Vestring Stefan , Dorner Alexandra , Scholliers Jonas , Ehrenberger Konstantin , Kiss Andreas , Theiss Alice , Rossner Paul , Frase Sibylle , du Vinage Catherine , Wendler Elisabeth , Serchov Tsvetan , Domschke Katharina , Bischofberger Josef , Normann Claus 
Published: October 2022

Abstract
The partial N-methyl-D-aspartate receptor (NMDAR) agonist D-Cycloserine (DCS) has been evaluated for the treatment of a wide variety of psychiatric disorders, including dementia, schizophrenia, depression and for the augmentation of exposure-based psychotherapy. Most if not all of the potential psychiatric applications of DCS target an enhancement or restitution of cognitive functions, learning and memory. Their molecular correlate is long-term synaptic plasticity; and many forms of synaptic plasticity depend on the activation of NMDA receptors. Here, we comprehensively examined the modulation of different forms of synaptic plasticity in the hippocampus by DCS and its mechanism. We found that DCS positively modulates NMDAR-dependent forms of long-term synaptic plasticity (long-term synaptic potentiation, LTP, and long-term synaptic depression, LTD) in hippocampal brain slices of juvenile rats without affecting basal synaptic transmission. DCS binds to the D-serine/glycine binding site of the NMDAR. Pharmacological inhibition of this site prevented the induction of LTP, whereas agonism at the D-serine/glycine binding site augmented LTP and could functionally substitute for decreased amounts of postsynaptically available glutamate. The most probable origin of endogenous D-serine are astrocytes, and its exocytosis is regulated by astrocytic metabotropic glutamate receptors (mGluR1). Functional eradication of astrocytes, inhibition of mGluR1 receptors and their downstream pathways in astrocytes adjacent to postsynaptic neurons prevented the induction of NMDAR-dependent forms of LTP and LTD. Our results support the enhancement of a bidirectional range of NMDAR-dependent hippocampal synaptic plasticity by DCS and D-serine-mediated gliotransmission. Therefore, the D-serine/glycine-binding site in NMDAR is a major target for psychopharmacological interventions targeting plasticity-related disorders.
Developmental temperature alters the thermal sensitivity of courtship activity and signal-preference relationships, but not mating rates
Authors: Macchiano Anthony , Miller Em , Agali Uchechukwu , Ola-Ajose Abisiola , Fowler-Finn Kasey D. 
Published: October 2022

Abstract
Mating behaviors are sensitive to novel or stressful thermal conditions, particularly for ectothermic organisms. One way to deal with changes in thermal conditions is developmental plasticity, whereby the thermal sensitivity of mating behaviors depend on developmental conditions. We tested how developmental temperature affects the thermal sensitivity of courtship behavior and mating rates, as well as mating signal-preference relationships. To do so, we rear treehoppers under two temperature regimes and then test the expression of mating behaviors across a range of ambient temperatures for males and females. We find that developmental temperatures affect the thermal sensitivity of courtship behavior and mating signals for males, but not females. The sex-specific plasticity did not alter the thermal sensitivity of mating rates, but did disrupt signal-preference coupling across certain ranges of ambient temperature. We discuss the implications of signal-preference decoupling for sexual selection, how reversible acclimation may drive sex-specific results, and the potential for mismatches between developmental and mating thermal environments under future climate change predictions.
A Systematic Review of Interventions to promote HPV Vaccination Globally
Authors: Escoffery Cam , Petagna Courtney , Agnone Christine , Perez Stephen , Saber Lindsey , Ryan Grace , Dhir Meena , Sekar Swathi , Yeager Katherine A. , Biddell Caitlin B. , Madhivanan Purnima , English Amanda S. , Savas Lara , Daly Eliza , Vu Thuy , Lee Stephanie , Fernandez Maria E. 
Published: October 2022

Abstract
Background
Despite the human papillomavirus (HPV) vaccine being a safe, effective cancer prevention method, its uptake is subomptimal in the United States (U.S.). Previous research have found a variety of intervention strategies (environmental and behavioral) in increasing its uptake. The purpose of the study is to systematically review the literature for interventions to promote HPV vaccination from 2015 to 2020.
Methods
We updated a systemative review of interventions to promote HPV vaccine uptake globally. We ran key word searches in six bibliographic databases. Audiences, design, level of intervention, components and outcomes were abstracted from the full-text articles in Excel databases.
Results
Of the 79 articles, most were conducted in the U.S. (72.2%) and in clinical (40.5%) or school settings (32.9%), and were directed a single level (76.3%). Related to the intervention type, most were informational (n = 25, 31.6%) or patient-targeted decision support (n = 23, 29.1%). About 24% were multi-level interventions, with 16 (88.9%) combining two levels. Twenty-seven (33.8%) reported the use of theory in intervention development. Of those reporting HPV vaccine outcomes, post-intervention vaccine initiation ranged from 5–99.2%, while series completion ranged from 6.8–93.0%. Facilitators to implementation were use of patient navigators and user-friendly resources, while barriers included costs, time to implement and difficulties of integrating interventions into organizational workflow.
Conclusions
There is a strong need to expand implementation of HPV-vaccine promotion interventions beyond education alone and at a single level of intervention. Development and evaluation of effective strategies and multi-level interventions may increase the uptake of the HPV vaccine among adolescents and young adults.
Synthesis of grape-seed derived carbon with high specific surface area for CO2 selective adsorption
Authors: Luo Lan , Dang Wei , Zhang Li , Zhang Dan , Pan Hongyan , Lin Qian 
Published: October 2022

Abstract
Nitrogen-doped porous carbons with BET surface area of 1068.2-3314.5 m2/g and nitrogen contents of 3.2–6.5% were prepared from solid waste grape-seed via NaNH2 as activator and nitrogen source at lower activation temperature. The activation mechanism of NaNH2 on hydrothermal carbon precursors was first explored by thermodynamic analysis and TG-IR, which provided theoretical support for pore-forming of carbon materials. Maximum CO2 and CH4 adsorption capacity at 273 K and pressure of 101 KPa was 5.42 and 1.76 mmol/g respectively, which is higher than that of majority of solid waste derived carbons reported in literature. IAST selectivities of GS-3-450 with the largest BET surface area for CO2/CH4 (40v/60v), CO2/N2 (15v/85v), CH4/N2 (50v/50v) were found to be 20.3, 71.4, 6.0 under 101 kPa and 298K respectively. The competitive adsorption of GS-3-450 for CO2/CH4 (40v/60v), CO2/N2 (15v/85v), CH4/N2 (50v/50v) gases mixture were examined through breakthrough experiments, and the results showed the CO2 breakthrough time was longer than that of CH4 and N2, which was beneficial to the separation of CO2 from gases mixture. CH4 adsorption-desorption studies for 8 cycles revealed that the material exhibited excellent recycling stability. The lower temperature preparation method, excellent BET surface area and total pore volume and excellent CO2 and CH4 adsorption ability make it having a very good potential for the capture of CO2 and CH4.
Predicting Bicyclist Maneuvers using Explicit and Implicit Communication
Authors: Grigoropoulos Georgios , Malcolm Patrick , Keler Andreas , Busch Fritz , Bogenberger Klaus 
Published: October 2022

Abstract
Explicit and implicit communication cues are part of the communication strategies often employed by bicyclists in traffic to reveal their intentions to other road users. For human drivers, such types of information may be understandable in a specific social and cultural context. Present automated driving functions mostly rely on vulnerable road user (VRU) dynamic and operational features to perform short-term predictions of nearby VRU behaviour. The understanding of bicyclist implicit and explicit communication behavior can provide an extra layer of information in predicting their movement in traffic, confine the solution space to specific maneuver archetypes and expand the short-term time window for the bicyclist trajectory prediction. This paper focuses on the problem of predicting the bicyclist maneuver at an intersection approach using exclusively bicyclist explicit and implicit communication cues. Data is first evaluated using random forests for feature selection to determine the most important features for the prediction task. The next step involves training and testing different classifiers such as k-nearest neighbors, extra trees, decision trees, random forests, logistic regression, linear support vector machines, and the gaussian naive-bayes classifier to define the most efficient methodology to address the maneuver classification problem. Results suggest that the gaussian naive-bayes classifier provides the best performance on the test data with a 69.4% accuracy score during training and 67.0% accuracy score during testing. The proposed method has the potential to support and cooperate with existing solutions for bicyclist trajectory prediction as part of automated driving functions, effectively increasing traffic safety.
LINC02544 modulates the RAB/RAS signaling pathway by potential regulation of DENND2A expression level in the breast cancer patients: integrated bioinformatics and experimental analyses
Authors: Nezamnia Maria , Shirdeli Sayedeh Zahra , Sobhani Fatemeh , Moein Mina , Rahimirad Samira , Azadeh Mansoureh , Azhdari Sara 
Published: October 2022

Abstract
Background: One of the most common female malignancies is breast cancer (BC) and is recognized as a second death factor for women population among other cancer-related diseases. Dysregulation of RNA expression levels can lead human status to some different pathological statuses, including breast cancer. In this study, we have investigated the expression level of DENND2A and lncRNA LINC02544 in the BC tissue samples among Iranian population. Also, the clinicopathological and biomarker analysis of these RNAs were investigated.
Method: Microarray analysis was performed on GSE61304 in order to find the differentially expressed genes in the BC samples compared to controls. Multiple online and offline software, including R programming language and several relative statistical and visualization packages, demonstrated the differential expression level of genes,relative lncRNAs, and single nucleotide polymorphisms. The Real-time PCR results have demonstrated that the expression level of DENND2A has been reduced in the breast cancer samples compared with controls. In order to investigate the genotype frequency of rs6852 region in the DENND2A gene, high-resolution melt (HRM) method has been used.
Results of microarray and Real-time PCR analysis have been shown that the expression of DENND2A and lncRNA LINC02544 have significantly down-regulated in the breast cancer samples. These data suggested that these two RNAs are likely to respond to alter the expression level of each other.
Therefore, DENND2A could be an important prognostic biomarker in breast cancer samples among Iranian population. lncRNA LINC02544 could have an activator effect on the DENND2A expression. There is strong evidence that both of these RNAs could perform as tumor suppressors in breast cancer.
Mutagenesis and structural studies reveal the basis for the specific binding of SARS-CoV-2 SL3 RNA element with human TIA1 protein
Authors: Zhang Dong , Qiao Lulu , Wang Zhiye , Zhou Ruhong 
Published: October 2022

Abstract
Viral RNA-host protein interactions are indispensable during RNA virus transcription and replication. However, the detailed structural and dynamical features of the interactions between viral RNA and various host proteins remain largely elusive. Here, we characterized the binding interface for the SARS-CoV-2 stem-loop 3 (SL3) cis-acting element to human TIA1 protein with a combined theoretical and experimental approach including molecular modeling, free energy calculations, and electrophoretic mobility shift assays (EMSA). As a highly structured and conserved cis-acting element, SARS-CoV-2 SL3 RNA element was found to have a high binding affinity (Kd ~ 780 nM) to human TIA1 protein, with its hairpin and 3’-terminal loops playing essential roles in a sequence-dependent manner. Our molecular dynamics simulations revealed that the aromatic stacking, specific hydrogen bonds, and hydrophobic interactions collectively direct the specific binding of SL3 RNA element to TIA1, in which notable conformation changes both in protein domain arrangement and RNA 3D structure adaptation were observed. Further evaluations of in silico mutagenesis predictions with electrophoretic assays validated our proposed 3D binding model and also revealed SL3 A68U variant has an enhanced binding affinity (~ 1.7-fold) to TIA1 protein than the wild type. Finally, we found that the human TIA1 protein could interact with conserved SL3 RNA elements within other betacoronavirus lineages as well. These findings open a new avenue to explore the viral RNA-host protein interactions for SARS-CoV-2 infection and provide a pioneering structural basis for novel RNA-targeting antiviral drug design.
Leveraging Machine Learning Approaches for Predicting Potential Lyme Disease Cases and Incidence Rates in United States Using Twitter
Authors: Boligarla Srikanth , Laison Elda Kokoè Elolo , Li Jiaxin Fiona , Mahadevan Raja , Ng Austen , Lin Yangming , Thioub Mamadou Yamar , Huang Bruce , Ibrahim Mohamed Hamza , Nasri Bouchra 
Published: October 2022

Abstract
Background: Lyme disease is one of the most commonly reported infectious diseases in the United States (US), accounting for more than 90% of all vector-borne diseases in North America.
Objective: In this paper, self-reported tweets on Twitter were analyzed in order to predict potential Lyme disease cases and accurately assess incidence rates in the US.
Methods: The study was done in three stages: (1) Approximately 1.3 million tweets were collected and and pre-processed to extract the most relevant Lyme disease tweets with geolocations. The tweets were manually labelled as relevant or irrelevant to Lyme disease using a set of precise keywords, yielding a curated labelled dataset of 77500 tweets. (2) This labelled data set was used to train, validate, and test various combinations of NLP word embedding methods and prominent ML classification models, such as TF-IDF and logistic regression, Word2vec and XGboost, and BERTweet, among others, to identify potential Lyme disease tweets. (3) Lastly, the presence of spatio-temporal patterns in the US over a 10-year period were studied.
Results: Preliminary results showed that BERTweet outperformed all tested NLP classifiers for identifying Lyme disease tweets, achieving the highest classification accuracy and F1-score of 90%. There was also a consistent pattern indicating that the West and Northeast regions of the US had a higher tweet rate over time.
Conclusions: We focused on the less-studied problem of using Twitter data as a surveillance tool for Lyme disease in the US. Several crucial findings have emerged from the study. First, there is a fairly strong correlation between classified tweet counts and Lyme disease counts, with both following similar trends. Second, in 2015 and early 2016, the social media network like Twitter was essential in raising popular awareness of Lyme disease. Third, counties with a high incidence rate were not necessarily related with a high tweet rate, and vice versa. Fourth, BERTweet can be used as a reliable NLP classifier for detecting relevant Lyme disease tweets.