bluuebunny/crossref_metadata_2025_split huggingface dataset:
An Innovative Investigation on the Clinical, Radiological, and Biochemical Alterations in Various Degrees of Dental Fluorosis with and without Periodontitis
Authors: VANGARA ADITYA , LAXMAN VANDANA KHARIDHI 
Published: November 2022

Abstract
This study aimed to assess clinical and biochemical parameter levels in dental fluorosis subjects with and without periodontitis. Besides, radiographic alveolar bone changes in jaws among periodontal patients in terms of cortical bone thickness, trabecular bone, and density changes were attempted using CBCT. A total of 40 subjects having dental fluorosed teeth with and without periodontitis were selected and human gingival crevicular fluid (GCF) was collected for estimation of sialic acid (SA) and chondroitin sulfate (CS) of glycosaminoglycans (GAG) by Colorimetric Analysis. Various alveolar CBCT measurements were considered, and the overall assessment for bone density was significantly higher in FD (657.6 ± 270.91) group than the FH group (526.3 ± 260.03) (p < 0.00). The thick dense trabecular pattern was found to occur in 80% of the FD group as compared to 63% in the FH group (p < 0.017). The grade-wise and overall assessment was done. The FD group shows an increase in PI, GBI, CPI-PPD, and SA than the FH group, whereas CS no significant difference in both these groups. Moreover, GCF SA levels are highest (686.33) (p < 0.005 S) in FD and GCF CS levels in the FH group (47.05) and FD group (46.52) almost similar, and hence p = 0.686 which is statistically non-significant. Nevertheless, there is a need for an hour to conduct studies on various endemic fluoride belts globally and appreciate the hidden role of fluorosis. However, fluorosis proved to be an environmental risk factor and further studies are required to decipher its destructive role systemically as well.
The change of SH extratropical cyclone precipitation characteristics with warming in CMIP6 models
Authors: Xu Dongze , Cao Dianbin , Lin Yanluan 
Published: November 2022

Abstract
Extratropical cyclone (EC) is the main source of precipitation at midlatitudes, but its precipitation characteristics change with warming still remains uncertain. Here, using 9 CMIP6 models, ECs in the southern hemisphere are tracked and recorded with concomitant sea level pressure and surface temperatures. EC total precipitation change with warming is decomposed into the contribution from EC number, life duration and precipitation intensity. It is found that decreasing EC total precipitation is strongly related to decreased EC number, with life duration contributing about 1/6 that of EC number change. Increasing EC precipitation intensity offsets the decrease due to EC number. To better quantify EC precipitation intensity change with warming, we employ temperature experienced by ECs instead of regional averaged temperature. A higher precipitation increasing rate per degree of warming (6.7%/K) than previous studies was noted because ECs tend to shift poleward with warming. Furthermore, the noted rate is mainly related to the increase of near-surface temperature (60%), followed by increased EC intensity (31%).
Fast Plug-in Capacitors Polarity Detection with Morphology and SVM Fusion Method in Automatic Optical Inspection System
Authors: Jiawang He , Lurong Jiang , Suoming Zhang , Renwang Li , Changguo Xu , Xinxia Liu , Yongjian Shen 
Published: November 2022

Abstract
Defect detection is a critical element in the PCB manufacturing process. Different from surface mount PCB, the components on the plug-in PCB are usually installed manually, resulting in significant errors. Furthermore , because plug-in components have many different types and irregularities, it is difficult to detect their flaws. We make contributions in the following two aspects: (1) a framework and measurement method of a light source and make a cheap and efficient lighting system ; (2) a fusion algorithm based on machine learning and morphology for polarity detection of plug-in capacitors. The capacitor is detected using SVM and fused with the polar coordinate expansion method. The AOI system and the proposed fusion algorithm have been applied to the production line, with an accuracy of 99.73% and a missed detection rate of only 0.12%, according to the field test of the production line.
Distant genetic variants of Anaplasma phagocytophilum from Ixodes ricinus attached to people
Authors: Lesiczka Paulina Maria , Hrazdilova Kristyna , Hönig Václav , Modrý David , Zurek Ludek 
Published: November 2022

Abstract
Background
Tick-borne pathogen, Anaplasma phagocytophilum is currently described as a single species; however, studies using genetic markers can distinguish groups of variants associated with different hosts, pathogenicity, zoonotic potential, and biotic and geographic niches. The objective of our study was to investigate the genetic diversity of A. phagocytophilum from Ixodes ricinus ticks attached to people.
Methods
In collaboration with a commercial diagnostic company, a total of 52 DNA samples were obtained from ticks that tested positive for A. phagocytophilum by qPCR. The genetic profile of each sample was described using the groEL and ankA gene. Identification of the tick species was confirmed by partial sequencing of the COI subunit and the portion of the TrospA gene.
Results
All 52 ticks were identified as I. ricinus. Two protocols of nested PCR amplifying 1293 bp and 407 bp fragments of the groEL gene of A. phagocytophilum yielded the amplicons of the expected size for all 52 samples. Among all sequences, we identified 10 unique genetic variants of the groEL gene belonging to ecotype I and ecotype II. The analysis targeting the ankA gene was successful in 46 of 52 ticks. Among all sequences, we identified 21 unique genetic variants phylogenetically belonging to three clusters.
Conclusions
Our results indicate that ticks attached to people harbor distant genetic variants of A. phagocytophilum, some of which are not recognized as zoonotic. Further studies are needed to determine the risk of human infection by genetic variants other than those designated as zoonotic.
The influence of the socioeconomic status and maternal serum lipids on lipid concentrations and anthropometry in the first year of life
Authors: Dathan-Stumpf Anne , Vogel Mandy , Grafe Nico , Kiess Wieland , Stepan Holger 
Published: November 2022

Abstract
Purpose
The aim of this study is to investigate the influence of maternal lipid concentrations during second and third trimester on infant lipid levels within the first year of life, infant anthropometry and the examination of socioeconomic influence.
Methods
Between 2011 and 2021, 982 mother-child pairs were recruited in the LIFE-Child study. To investigate the influence of prenatal factors, pregnant women at the 24th and 36th week of gestation as well as children at the age of 3, 6 and 12 months were examined and serum lipids determined. Socioeconomic status (SES) was assessed using the validated Winkler Index.
Results
A higher maternal BMI was associated with a significantly lower Winkler score and a higher infant weight, height, head circumference and BMI from birth up to the 4th-5th week of life. In addition, the Winkler Index correlates with maternal HDL cholesterol and ApoA1 levels. There was no relation between the delivery mode and the maternal BMI or SES.
For the maternal HDL cholesterol concentration in the third trimester, an inverse relation to children’s height, weight, head circumference and BMI up to the first year of life as well as the chest and abdominal circumference to an age of 3 months was found. Children born to mothers with dyslipidemia in pregnancy tended to have a worse lipid profile than those born to normolipidemic mothers.
Conclusion
Serum lipid concentrations and anthropometric parameters of children in the first year of life are affected by multiple factors like the maternal BMI, lipid levels and SES.
PTEN expression was down-regulated in population occupational mercury exposure and promote cell apoptosis via PI3K/AKT pathway
Authors: Mei Peng , Ding Enmin , Yin Haoyang , Ding Xuexue , Wang Huan , Wang Jianfeng , Han Lei , Zhang Hengdong , Zhu Baoli 
Published: November 2022

Abstract
Background: Mercury has different levels of toxicity to various organ systems of the human body. Therefore, it is very important to research the molecular differences and functional mechanisms of mercury exposure for the early prevention and treatment of occupational mercury poisoning.
Method:The subjects of the population study were on-the-job workers in a thermometer manufacturing plant in Jiangsu Province in 2016. According to the basic information collected, 40 people in the high concentration mercury exposure group and 40 people in the low concentration mercury exposure group (control group) were matched, and the blood of each person was collected. Through bioinformatics analysis of gene expression microarray results, the genes related to mercury exposure were initially screened out. The qRT-PCR was used to verify the initial screening of differential expression genes (DEGs) to identify the differential genes of mercury exposure. Mercury exposure differential genes were verified in 293T model cells, and the molecular functions and mechanisms of mercury exposure differential genes were analyzed by qRT-PCR, Western blot, siRNA transfection and ELISA.
Results: Compared with the control group, the expression level of PTEN in the high-concentration mercury exposure group was 21.86% of that in the control group. The result of correlation analysis showed that the relative expression levels of PTEN and RNF2 genes were negatively correlated with the urine mercury value. The expression of PTEN was down-regulated, and the expression of PI3K, AKT and IL-6protein was increased in the mercury-infected 293T cell model.
Conclusions:The results showed that mercury exposure could down-regulate the PTEN gene, activate the PI3K/AKT regulatory pathway, increase the expression of inflammatory factors, and thus cause renal inflammation.
Construction of a machine-learning model to predict the optimal gene expression level for efficient production of D-lactic acid in yeast
Authors: Yamamoto Yoshiki , Yamada Ryosuke , Matsumoto Takuya , Ogino Hiroyasu 
Published: November 2022

Abstract
The modification of gene expression is being researched in the production of useful chemicals by metabolic engineering of the yeast Saccharomyces cerevisiae. When the expression levels of many metabolic enzyme genes are modified simultaneously, the expression ratio of these genes becomes diverse; the relationship between the gene expression ratio and chemical productivity remains unclear. In other words, it is challenging to predict phenotypes from genotypes. However, the productivity of useful chemicals can be improved if this relationship is clarified. In this study, we aimed to construct a machine-learning model that can be used to clarify the relationship between gene expression levels and D-lactic acid productivity and predict the optimal gene expression level for efficient D-lactic acid production in yeast. A machine-learning model was constructed using data on D-lactate dehydrogenase and glycolytic genes expression (13 dimensions) and D-lactic acid productivity. The coefficient of determination of the completed machine-learning model was 0.6932 when using the training data and 0.6628 when using the test data. Using the constructed machine-learning model, we predicted the optimal gene expression level for high D-lactic acid production. We successfully constructed a machine-learning model to predict both D-lactic acid productivity and the suitable gene expression ratio for the production of D-lactic acid. The technique established in this study could be key for predicting phenotypes from genotypes, a problem faced by recent metabolic engineering strategies.
Laser-driven low energy electron beams for single-shot ultra-fast probing of meso-scale materials and warm dense matter
Authors: Falk Katerina , Smid Michal , Bohacek Karel , Chaulagain Uddhab , Gu Yanjun , Pan Xiayun , Perez-Martin Pablo , Krus Miroslav , ́ Michaela Kozlova 
Published: November 2022

Abstract
Laser wakefield acceleration has proven to be an excellent source of electrons and x-rays suitable for ultra-fast probing of matter. These novel beams have demonstrated unprecedented spatial and temporal resolution allowing for new discoveries in material science and plasma physics. In particular, the study of dynamic processes such as non-thermal melt and lattice changes on femtosecond time-scales have paved a way to completely new scientific horizons. Here, we demonstrate the first single-shot electron radiography measurement using an femtosecond electron source based on the downramp-density gradient laser-wakefield-acceleration with the use of a compact Ti:sapphire laser. A quasi-monoenergetic electron beam with mean energy of 1.9 MeV and charge 77 pC per shot was generated by the laser incident onto a gas target and collimated using a two ring-magnet beam path. High quality electron radiography of solid objects with spatial resolution bettern than 150 μm was demonstrated. Further developments of this scheme have the potential to obtain single-shot ultrafast electron diffraction from dynamic lattices. This scheme poses a great promise for smaller scale university laboratories and facilities for efficient single-shot probing of warm dense matter, medical imaging and the study of dynamic processes in matter with broad application to inertial confinement fusion and meso-scale materials (mg−g/cm2).
The initiation of a hand grip is delayed by silently reading an incompatible syllable
Authors: Hajj Joelle , De Nil Luc , Welsh Timothy , Tremblay And Luc 
Published: November 2022

Abstract
The movements of phonation structures (e.g., tongue) are said to facilitate compatible hand movements. For example, onset latencies of precision and power hand grips (Reaction Time: RT) are shortened with the production of syllables that share similar sensory consequences (e.g., tactile sensation occurring at the tip of both effectors). However, it is not known if such syllable-grip effects are due to action compatibility vs. interference, and if such facilitation/ interference is due to covertly or overtly reading the syllable. To answer the associated empirical questions, the present experiment involved participants initiating a precision or power grip without the covert/ overt reading of a syllable, or while covertly or overtly reading the syllable /ti/ or /ka/. In both the covert and overt reading conditions, the syllable /ka/ interfered with precision grip RTs and the syllable /ti/ interfered with power grip RTs. In contrast, the syllable /ti/ or /ka/ did not interfere or facilitate power or precision grip RTs, respectively. These findings support the notion of syllable-grip interference but not compatibility and that such interference can be observed with silent reading alone.
Three-month Antibody Persistence of a Bivalent Omicron-containing Booster Vaccine Against COVID-19
Authors: Chalkias Spyros , Harper Charles , Vrbicky Keith , Walsh Stephen , Essink Brandon , Brosz Adam , McGhee Nicole , Tomassini Joanne , Chen Xing , Chang Ying , Sutherland Andrea , Montefiori David , Girard Bethany , Edwards Darin , Feng Jing , Zhou Honghong , Baden Lindsey , Miller Jacqueline , Das Rituparna 
Published: November 2022

Abstract
We previously presented day 29 interim safety and immunogenicity results from a phase 2/3 study comparing the Omicron-BA.1-containing bivalent vaccine mRNA-1273.214 (50-µg) to the 50-µg mRNA-1273 booster in adults who previously received the mRNA-1273 primary series (100-µg) and mRNA-1273 first booster (50-µg) dose. Here we present day 91 post-booster results. Participants were sequentially enrolled to receive 50-µg of mRNA-1273 (n = 376) or mRNA-1273.214 (n = 437) as second booster doses. In participants with no pre-booster severe acute respiratory syndrome coronavirus 2-infection (SARS-CoV-2), mRNA-1273.214 elicited Omicron-BA.1-neutralizing antibody titers that were significantly higher (964.4 [834.4-1114.7]) than those of mRNA-1273 (624.2 [533.1-730.9]) and similar between boosters against ancestral SARS-CoV-2 at day 91. mRNA-1273.214 also induced higher binding antibody responses against Omicron BA.1 and alpha, gamma and delta variants than mRNA-1273. Safety profiles were similar for both vaccines. The Omicron-BA.1 bivalent vaccine induced improved antibody persistence compared to mRNA-1273.
Thioxanthone-containing blue thermally activated delayed fluorescent emitter
Authors: Kaji Hironori , Kanno Natsuko 
Published: November 2022

Abstract
Accelerating reverse intersystem crossing (RISC) without sacrificing fast radiative decay would be effective in suppressing efficiency roll‐off (eRO) in thermally activated delayed fluorescence (TADF)‐based organic light‐emitting diodes. We here report a TADF emitter, CC‐TXO‐I, combining a bicarbazole donor (CC) and a sulfur‐containing acceptor (TXO). The CC is used to accelerate radiative decay via moderate donor‐acceptor torsion angle, and the TXO is expected to provide fast RISC by the heavy atom effect of sulfur. We successfully realized very large rate constants for RISC (kRISC) of ~107 s−1, and eROs were improved by increasing both kRISC and rate constants of radiative decays.
Global well-posedness of solutions to a class of double phase parabolic equation with variable exponents
Authors: Yuan Wen-Shuo , Ge Bin , Ren Hai-Xin , Cao Qing-Hai 
Published: November 2022

Abstract
The main objective of this paper is to study a class of parabolic equation driven by double phase operator with initial-boundary value conditions. As is well known, subcritical hypotheses play an important role in investigating well-posedness result to parabolic and elliptic equations. The highlight of this paper is to overcome the difficulties without sub-critical assumption creates by restricting the domain. We firstly obtain the local solution separately on the radial and the nonradial cases by the appropriate approach of subdiffer-ential, Palais principle of symmetric criticality and variational methods. Later, using the potential well method, the results of global solution and decay estimates of energy functional are proved when the initial energy is subcritical. Finally, we derived the blow-up in finite time of solutions when the initial data satisfies different conditions. The present work extends and complements some of earlier contributions related parabolic equations involving p(x)-Laplacian.
Peculiarities of nitrogen - vacancy centers superluminescence in diamond under the optical pumping at 532 nm
Authors: Mironov Vasiliy Pavlovich , Tel'minov Evgeniy Nikolaevich , Genin Dmitriy Evgenevich , Shulepov Mikhail Aleksandrovich , Dormidonov Aleksandr Evgenevich , Savvin Aleksandr Demyanovich , Lipatov Evgeniy Igorevich 
Published: November 2022

Abstract
In the context of the NV− diamond laser creation [1], an urgent task is to determine the characteristics of diamonds that can affect the laser generation. This work is aimed at investigating the mechanisms of the creation of superluminescence in diamond under the action of optical pumping by the second harmonic of the Nd:YAG laser (λ = 532nm). It was found that when the HPHT diamond is irradiated by 532 nm radiation with an intensity above ~ 2.0 MW/cm2, a nonlinear intensity increasing in the spectral region 700–750 nm is manifested against the background of the spontaneous photoluminescence spectrum, which, with a further pumping intensity increasing turns into a pronounced peak of superluminescence with a maximum of about 718 nm. An increase in the pumping intensity from 2.7 to 46 MW/cm2 widened this peak at half-maximum from 13 to 19 nm. At high levels of pumping intensity, nonlinear pumping radiation absorption and accumulation of NV centers in the excited state were detected. The position of the photoluminescence band was calculated depending on different values of the population inversion density of the color centers, taking into account the diamond's own absorption spectrum. The calculation results are close to the experimental data.
Impacts of Transformer-Based Language Models and Imbalanced Data for Hate Speech Detection on Vietnamese Social Media Texts
Authors: Luu Son T. , Nguyen Kiet Van , Nguyen Ngan Luu-Thuy 
Published: November 2022

Abstract

Hate speech detection on social media networks is the classification task that automatically detects harmful comments from users and prevents the appearance of those toxic comments on social sites. The profit of the hate speech detection task is preventing harassment and toxicity content on the social networks site to protect the users that join the social media networks. However, hate speech detection is challenging, especially for low-resource languages like Vietnamese. In this paper, we investigate the effect of the transformer-based language model and data augmentation techniques for hate speech detection on Vietnamese texts. Then, we proposed our ensemble model to boost the accuracy of hate speech detection in Vietnamese texts.
Computer-based multiple component cognitive training in children with ADHD: a pilot study
Authors: Wu Ying-Ying , Xu Ling-Zi , Wu Zhao-Min , Cao Xiao-Lan , Xue Gui , Wang Yu-Feng , Yang Bin-Rang 
Published: November 2022

Abstract
Background
ADHD is associated with deficits in executive functions. Cognitive training is a promising nonpharmacological intervention for ADHD, however, there is insufficient evidence to guide the selection of training for individuals with ADHD. This pilot study aims to investigate the efficacy of executive function trainingtargeting key executive dysfunctions in ADHD, compared with general executive function training which targets other executive functions.
Methods
This was a randomized, double-masked clinical trial. A total of 127 subjects (6-12 years) diagnosed with ADHD were randomized to receive one of two different cognitive trainings. ADHD symptoms and cognitive functions were evaluated using parent-rated scales and CANTAB cognitive assessments. All participants were required to complete 48 training sessions within a two-month period.
Results
94 out of 127 children completed the required training and assessments. Both ADHD executive function training group and general executive function training group showed significant improvement in ADHD symptoms on the ADHD Rating Scale and in executive function on the assessment of CANTAB. There was no significant difference in improvements between the two groups. Subgroup analysis suggested that children who had ADHD-RS total scores less than or equal to 28 at baseline showed greater improvement following ADHD executive function training.
Conclusions
This study indicates that cognitive training can improve ADHD symptoms and executive function, with no difference in efficacy between targeted and generalized cognitive training. In addition, individuals with lower symptom severitymay benefit more from training targeting key ADHD executive dysfunctions.