bluuebunny/crossref_metadata_2025_split huggingface dataset:
Synthesis of SiO2@Ag nanocomposite for enhancing photoluminescence and Raman characterizations
Authors: Thai Dang Van , Pham Van Ben , Cong Doanh Sai , Huong Giang Nguyen Thi , Trong Duc Tran , Thi Ha Tran , Nguyen Tien-Thanh , Nguyen Tien Dai , Bui Hong Van 
Published: December 2023

Abstract

SiO2@Ag nanocomposite (NC) has been synthesized by the chemical reduction and Stӧber method for enhancement photoluminescence (PL) and Raman characteristics of Rhodamine 6G (R6G) and Malachite green (MG) dyes. As-synthesized SiO2@Ag nanocomposite indicated SiO2 nanosphere (NS) and Ag nanoparticle (NP) morphologies. The SiO2@Ag nanocomposite was high quality with a well-defined crystallite phase with average sizes of 24 nm and 132 nm for Ag NP and SiO2 NC, respectively. By using SiO2@Ag NC, the PL intensity of the R6G (at 59.17 ppm) was increased approximately 133 times. The surface-enhanced Raman spectroscopy (SERS) of the MG (at 1.0 ppm) with SiO2@Ag NC as substrate, clearly observed vibrational modes in MG dye at 798, 916, 1172, 1394, and 1616 cm− 1. As a result, the SERS enhancement factor (EFSERS) at 1172 cm− 1 obtained 6.3x106. This pioneering study points to the potential of SiO2@Ag nanocomposite as a promising material for effective photoluminescence and Raman characteristics at low-concentration dyes.
Prognostic impacts of the three AKT isoforms in acute myeloid leukemia. Is AKT3 the bad AKTOR?
Authors: Corre Eulalie , Soum Cécile , Pfeifer Romain , Bessière Chloé , Marboeuf Catherine , Meggetto Fabienne , Touriol Christian , Récher Christian , Bousquet Marina , Pyronnet Stéphane 
Published: December 2023

Abstract
The PI3K-AKT-mTOR pathway lies at the confluence of signaling pathways in which various components are subjected to activating genetic alterations in acute myeloid leukemia (AML), thus contributing to oncogenesis. Three AKT isoforms exist in humans. However, whether one isoform predominates in AML remains unknown. This study reveals that AKT3 behaves very distinctly than AKT1 or AKT2 in both normal myeloid differentiation and AML. During normal differentiation, AKT3 is preferentially expressed in hematopoietic stem cells whilst AKT1 becomes preferentially expressed as cells differentiate into granulocytes or monocytes. AKT2 expression remains unchanged. In AML, AKT3 expression varies widely among patient samples and is counterintuitively correlated to the expression of monocyte markers. Furthermore, a low level of AKT3 expression is strongly correlated to genetic alterations associated with a better outcome (NPM1 mutations and RUNX1-RUNX1T1 translocation), whilst a high level is correlated to a genetic alteration associated to a bad outcome (RUNX1 mutations). Neither AKT1 nor AKT2 expression associates with AML mutations or translocations. Consistently, a high AKT3 expression level appears as a very strong predictor of poor survival. Curiously, although modestly varying among AML samples, a high AKT1 expression shows in contrast as a strong predictor of a better patient outcome. These data suggest that AKT3 and AKT1 expressions have strong, yet opposite, prognostic values.
Extracorporeal Photopheresis Reduces Inflammation and Joint Damage in a Rheumatoid Arthritis Murine Model
Authors: Lin Yuwei , Cheng Zhanrui , Zhong Yan , Zhao Yinting , Xiang Guifen , Li Ling , Tian Li , Liu Zhong 
Published: December 2023

Abstract
Background: Rheumatoid arthritis (RA) is an autoimmune disease characterized by inflammatory reactions and tissue damage in the joints. Long-term drug use in clinical practice is often accompanied by adverse reaction. Extracorporeal photopheresis (ECP) is an immunomodulatory therapy with few side effects, offering a potential and safe therapeutic alternative for RA through the induction of immune tolerance. This study aimed to investigate the therapeutic effects of ECP on RA using a collagen-induced arthritis (CIA) murine model, as well as to explore its immunomodulatory effects in vivo. Additionally, particular attention was given to the significant role of monocytes during the ECP process.
Methods: A murine model of rheumatoid arthritis was established by administering two injections of bovine type II collagen to DBA/1J mice. ECP, ECP-MD (mononuclear cells were depleted during the ECP), MTX, and PBS treatment were applied to the CIA mice. During the treatment process, clinical scores and body weight changes of CIA mice were closely monitored. After six treatment sessions, micro-CT images of the hind paws from live mice were captured. Ankle joints and paws of the mice were collected and processed for histological evaluation. Spleen samples were collected to measure the Th17/Treg cells ratio, and serum samples were collected to assess cytokine and anti-type II collagen IgG levels.
Result: ECP therapy significantly attenuated the progression of CIA, alleviated the severity of clinical symptoms in CIA mice and effectively suppressed synovial hyperplasia, inflammation, and cartilage damage. There was an expansion in the percentage of CD3+CD4+CD25+FoxP3+ Tregs and a decrease in CD3+CD4+IL17A+ Th17 cells in vivo. Furthermore, ECP reduced the serum levels of pro-inflammatory cytokines IL-6 (53.47±7.074 pg/ml vs 5.142±1.779 pg/ml, P < 0.05) and IL-17A (3.077±0.401 pg/ml vs 0.238±0.082 pg/ml, P < 0.0001) compared with PBS. Interestingly, the depletion of monocytes during the ECP process did not lead to any improvement in clinical symptoms or histological scores in CIA mice. Moreover, the imbalance in the Th17/Treg cell ratio became even more pronounced, accompanied by an augmented secretion of pro-inflammatory cytokines IL-6 and IL-17A.
Conclusion: Our study demonstrates that ECP exhibits a therapeutic effect comparable to conventional therapy in CIA mice, and the protective mechanisms of ECP against RA involve Th17/Treg cells ratio, which result in decreased IL-6 and IL-17A. Notably, monocytes derived from CIA mice are an indispensable part to the efficacy of ECP treatment.
Detection of Stock Market Manipulation Using Deep Learning
Authors: B Hariharan , Goel Aadya , Garlyal Jaideep , Singh Adarsh Kumar , Kanojia Karnik , Paul Debasmita 
Published: December 2023

Abstract
The stock market is a vast trading environment that handles millions of transactions, making it challenging for regulatory bodies to identify fraudulent activities manually. However, unsupervised deep learning techniques provide a promising solution for detecting market manipulation. Inflating or deflating stock prices to gain an advantage is a form of market manipulation. We propose to examine how stock market manipulation can be detected using market structure analysis in the paper. The gathering of data involved utilizing information obtained from the websites of National Stock Exchange (NSE) and the Bombay Stock Exchange (BSE). The efficacy of an approach utilizing generative models is particularly noteworthy in this domain, showing significant potential for quickly identifying specific local irregularities in the data for anomaly detection and potential recognition of market manipulation. This efficiency addresses a common challenge faced by deep learning approaches. By exploring this matter, we aim to contribute insightful perspectives that could aid both investors and regulatory bodies in effectively understanding and managing the risks associated with stock market manipulation.
STAG2 mutations regulate 3D genome organization, chromatin loops, and Polycomb signaling in glioblastoma multiforme
Authors: Waldman Todd , Kim Jun-Sik , Xu Wanying , Yang Tianyi , Ya Alvin , Tallon Luke , Sadzewicz Lisa , Harris Brent , Sarkaria Jann , Jin Fulai 
Published: December 2023

Abstract
Inactivating mutations of genes encoding the cohesin complex are common in a wide range of human cancers. STAG2 is the most commonly mutated cohesin complex subunit. Here we report the impact of stable correction of endogenous, naturally occurring STAG2 mutations on gene expression, 3D genome organization, chromatin loops, and Polycomb signaling in glioblastoma multiforme (GBM). In two GBM cell lines, correction of their STAG2 mutations significantly altered the expression of ~10% of all expressed genes. Virtually all the most highly regulated genes were negatively regulated by STAG2 (i.e., expressed higher in STAG2-mutant cells than in STAG2-corrected cells), and one of them – HEPH – was regulated by STAG2 in uncultured GBM tumors as well. While STAG2 correction had little effect on large scale features of 3D genome organization (A/B compartments, TADs), STAG2 correction did alter thousands of individual chromatin loops, some of which controlled the expression of adjacent genes. Loops specific to STAG2-mutant cells, which were regulated by STAG1-containing cohesin complexes, were very large, supporting prior findings that STAG1-containing cohesin complexes have greater loop extrusion processivity than STAG2-containing cohesin complexes and suggesting that long loops may be a general feature of STAG2-mutant cancers. Finally, STAG2-regulated chromatin loops were enriched for the H3K27me3 Polycomb epigenetic mark, revealing that inactivation of STAG2 can activate Polycomb signaling in GBM, identifying a potential target for therapeutic intervention in STAG2-mutant tumors. Together, these findings illuminate the landscape of STAG2-regulated genes, A/B compartments, chromatin loops, and pathways in GBM, providing important clues into the largely still unknown mechanism of STAG2 tumor suppression.
Innovative dead-time correction and background subtraction for neutron multiplicity measurements using neural networks
Authors: Garcia-Duarte Jeremias , Harke Jason , Mishnayot Yonatan , Tamashiro Aaron , Lawrence Jackson 
Published: December 2023

Abstract
The number of neutrons emitted from a nuclear reaction plays a crucial role in various fields, including nuclear theory, nuclear nonproliferation, nuclear energy and nuclear criticality safety. Accurate determination of neutron multiplicities requires the application of several corrections, with dead-time correction and background subtraction being particularly significant. These corrections become more challenging for neutron detectors with time-dependent neutron capture. In this work, we perform a comprehensive study of three existing methods used for dead-time correction and background subtraction in neutron detectors with time-dependent neutron capture. The methods were tested for dead-times in the range from 0 to 1 μs using a Monte Carlo model simulating the dead-time and background effects in the standard neutron multiplicity probability distribution of 252Cf. The previous methods showed larger than desired uncertainty or systematic trade off. Those uncertainties prompted the development of a novel approach using neural networks trained with data from Monte Carlo simulations. The Neural Network method enabled the extraction of neutron multiplicity probabilities with accuracy ten times higher than the other methods with errors smaller than 1%. A similar approach using neural networks could be applied to problems where the system being studied can be accurately simulated without having an accurate analytical description available. The neural network method presented in this paper can easily be expanded if multiplicities are greater than 10.
Psy-E1, located at the same locus as Psy-A1, contributes strong yellowness to durum wheat but may cause yield loss in Japan.
Authors: Kato Keita , Ban Yusuke , Yanaka Mikiko , Okusu Hideki , Tanaka Tomoki , Kawakami Hiroyuki , Yamaguchi Masahiro , Funatsuki Wakako , Takata Kanenori , Ito Miwako 
Published: December 2023

Abstract

Strong yellow color, caused by carotenoid accumulation, in semolina flour made from durum wheat (Triticum turgidum L. subsp. durum (Desf.)) is one of the most important phenotypes for pasta production. The first step in the carotenoid biosynthesis pathway, which is catalyzed by phytoene synthase (PSY), is a bottleneck, and allelic variation of Psy-A1 in durum wheat produces different yellow pigment contents (YPC) in seeds. Durum wheat carrying leaf rust resistance gene LR19, which was translocated from wheat relative Thinopyrum ponticum chromosome 7E to durum wheat chromosome 7A, is known to produce high YPC, and the causal gene is presumed to be Psy-E1, which is tightly linked to LR19. In this study, Psy-E1 produced more YPC than the original Psy-A1 alleles in durum wheat, and YPC production decreased in the order of Psy-E1 > Psy-A1o > Psy-A1l > Psy-A1k. Segregation analysis demonstrated that Psy-E1 is located at the Psy-A1 locus on chromosome 7A. In a 2-year field test of near-isogenic materials, Psy-E1 was accompanied by yield loss with decreases in grain number per spike, volume weight and thousand-kernel weight under moisture conditions typical of wheat-growing areas of Japan. Thus, Psy-E1 has the potential to contribute high YPC in durum wheat breeding programs, although the applicable cultivation environments are limited.
Synthesis of black titanium dioxide/activated carbon composites for enhanced visible‐light photocatalytic properties
Authors: Li Jin , Jiang Zhaoxia , Li Jianfei , Li Boyang , Wang Xiaolian , Shi Qiwu 
Published: December 2023

Abstract

Black titanium dioxide (B-TiO2) formed by surface disorder engineering has attracted great attention due to its narrowed band gap, enhanced visible-light absorption, and various applications in photocatalysis, hydrogen production, photothermal conversion, etc. The hybrid of B-TiO2 with the other materials provides vast potential to improve it performance further. In this work, highly efficient visible-light-driven B-TiO2/activated carbon (AC) composite catalysts were synthesized by sol-gel method combined with argon heat treatment. The effect of AC content on the morphology, structure and optical properties of B-TiO2/AC was investigated. X-ray photoelectron spectroscopy (XPS) results showed a Ti-C- characteristic peak at 283.6 eV, which indicates the interaction between AC and B-TiO2. The photocatalytic experiments showed that the combination of 25wt% AC and B-TiO2 exhibited remarkable and stable photocatalytic performance for removing Rhodamine B (RhB). Particularly, under visible light irradiation (λ>420 nm), 82% of RhB was degraded within 60 minutes, which is 16% higher than B-TiO2 and 48% higher than white TiO2 (W-TiO2). Moreover, the RhB was degraded by 92% within 30 min under full-spectrum irradiation, which was 18% higher than B-TiO2 and 61% higher than W-TiO2. This work proposed a green and low-cost method for developing B-TiO2 based photocatalyst with improved performance.
ANCs of the bound states of 16O deduced from elastic α-12C scattering data
Authors: Ando Shung-Ichi 
Published: December 2023

Abstract
Asymptotic normalization coefficients (ANCs) of the $0_1^+$, $0_2^+$, $1_1^-$, $2_1^+$, $3_1^-$ ($l_{i th}^\pi$) bound states of $^{16}$O are deduced from the phase shift data of elastic $\alpha$-$^{12}$C scattering at low energies. $S$ matrices of elastic $\alpha$-$^{12}$C scattering are constructed within cluster effective field theory (EFT), in which both bound and resonant states of $^{16}$O are considered. Parameters in the $S$ matrices are fitted to the precise phase shift data below the $p$-$^{15}$N breakup energy for the partial waves of $l=0,1,2,3,4,5,6$, and the ANCs are calculated by using the wave function normalization factors of $^{16}$O propagators for $l=0,1,2,3$. We review the values of ANCs, which are compared with other results in the literature, and discuss uncertainties of the ANCs obtained from the elastic $\alpha$-$^{12}$C scattering data in cluster EFT.
Self-Organising Maps Applied to the Stratification of Preterm Birth Risk in Brazil with Socioeconomic Data
Authors: Lopes Márcio , Silva Lucileide , Silva Sérgio , Lima Waldenice , Barbosa Raquel , Fernandes Marcelo 
Published: December 2023

Abstract
Preterm birth (PTB) poses risks and difficulties for the survival of the newborn baby. Despite considerable progress in research, the causes of PTB still need to be fully understood. PTB risk is believed to be multi-faceted and may be linked to socioeconomic factors. This research aims to categorize the risk of PTB in Brazil based on socioeconomic data. To do this, it will use unsupervised machine learning techniques to identify clusters that show significant differences in PTB risk. By utilizing publicly accessible datasets from the Brazilian Federal Government, a new dataset was created with municipality-level socioeconomic information and a rate of PTB occurrence. This dataset was then processed with unsupervised learning techniques, such as self-organizing maps (SOM) and hierarchical clustering. The research uncovered clusters of municipalities with either high or low levels of PTB. Those with high PTB were mainly composed of municipalities with lower educational attainment, poorer quality of public services (e.g., sanitation and waste disposal), and a smaller white population. The analysis of the regional distribution of clusters revealed that the highest rates of PTB were mainly concentrated in Brazil's North and Northeast regions. The findings suggest that better quality of life and access to public services positively reduce the risk of PTB.
Differentiating diagnosis of atypical cardiac myxoma and thrombus by coronary computed tomography angiography imaging
Authors: Zhang Nannan , Lan Chuanqiang , Du Zeliu , Lin Guihan , Zhong Yi , Fei Jingle , Liu Kan , Ji Jiansong , Lu Chenying 
Published: December 2023

Abstract
Cardiac atypical myxoma usually presents as an isolated mass attached to the atrial septum on imaging, with no movement and a wider attachment base. It is difficult to distinguish it from cardiac thrombus through conventional echocardiography or computed tomography. The purpose of this study is to evaluate the value of coronary computed tomography angiography (CCTA) imaging features in distinguishing cardiac atypical myxoma from cardiac thrombus. This retrospective study included patients with atypical myxoma of the heart confirmed by histopathology (n = 18) and with thrombus disappearance after anticoagulation treatment (n = 23). All patients underwent CCTA examination. There are significant differences in the origin, surface, and enhancement patterns between cardiac myxoma and thrombus groups (p < 0.05, respectively). Specifically, supplied vessels were observed in the cardiac atypical myxoma group, while no neovascularization was detected in the thrombus group (83.33% vs. 0%, p < 0.001). Non-invasive CCTA can distinguish atypical cardiac myxoma and cardiac thrombus through image features, and will play an important role in the diagnosis and follow-up of future cardiac lesions.
Personalized embryo transfer guided by rsERT improves pregnancy outcomes in patients with repeated implantation failure
Authors: Li Ning , Zhang Yisheng , Li Rufei , Chen Yulin , Huang Lin , Tan Zhuojie , Ban Xiaoying , Zhou Ling , Xu Changlong , Qiu Ying , Li Rong 
Published: December 2023

AbstractBackground Embryo implantation requires synchronous communication between the embryo and maternal endometrium. Inadequate maternal endometrial receptivity is one of the principal causes of embryo implantation failure (especially repeated implantation failure (RIF)), when biopsied good-quality euploid embryos are transferred. An RNA-Seq-based endometrial receptivity test (rsERT) was previously established to precisely guide successful embryo implantation. Here, we aimed to evaluate the effect of personalized embryo transfer (pET) via rsERT on the clinical outcomes in patients with RIF. Methods 155 patients with RIF were included in the present retrospective study and were divided into two groups: 60 patients with rsERT and pET (Group rsERT), and 95 patients underwent standard frozen embryo transfer (FET) without rsERT (Group FET). Reproductive outcomes were compared for patients underwent rsERT guided pET and standard FET. Results 40% (24/60) of the patients underwent rsERT were receptive, and the remaining 60% (36/60) were non-receptive. The positive human chorionic gonadotropin (β-hCG) rate (56.3% vs. 30.5%, P = 0.003) and clinical pregnancy rate (43.8% vs. 24.2%, P = 0.017) were significantly higher in Group rsERT patients than those in FET group patients. Additionally, Group rsERT patients also showed higher implantation rate (32.1% vs. 22.1%, P = 0.104) and live birth rate (35.4% vs. 21.1%, P = 0.064) compared with FET patients, although without significance. For subpopulation analysis, the positive β-hCG rate, clinical pregnancy rate, implantation rate and live birth rate from receptive patients were not statistically significant different from those of non-receptive patients. Whether cleavage embryos or blastocysts were transferred, rsERT patients showed higher rates of positive β-hCG, clinical pregnancy, live birth and implantation, although these differences were not statistically significant. Conclusions The rsERT can significantly improve the pregnancy outcomes of patients with RIF, indicating the clinical potential of rsERT-guided pET.
DON6D: Decoupled One-stage Network for 6D Pose Estimation
Authors: Wang Zheng , Tu Hangyao , Qian Yutong , Zhao Yanwei 
Published: December 2023

Abstract
6D pose object estimation is a key task in robotic manipulation and grasping scenes. Many prior two-stage works with slower inference speeds require extra refinement to deal with challenge problems such as variations of lighting, sensor noise, object occlusion, and truncation. To address these problems, this work proposes a decoupled one-stage network (DON6D) for 6D pose estimation, which improves inference speed, on the premise of maintaining accuracy. Specifically, since RGB images are aligned with RGB-D images, DON6D first utilizes a 2D detection network to locate the interested objects in RGB-D images. Second, DON6D includes a module of feature extraction and fusion to fully extract color and geometric features. Furthermore, dual data augmentation is implemented to enhance the generalizability of the model. Third, DON6D fuses them and applies an attention residual encoder-decoder which can boost pose estimation performance to obtain accurate 6D pose. DON6D is a real-time method that is evaluated on the LINEMOD dataset and YCB-Video dataset. The results demonstrate that DON6D is superior to several state-of-the-art methods under the ADD(-S) metric and ADD(-S) AUC metric.
Population age as a key factor in the COVID-19 pandemic dynamics
Authors: Nesteruk Igor , Keeling Matt 
Published: December 2023

Abstract
The population and governments of many countries are losing interest in the SARS CoV-2 infection, the number of tests and the number of new cases detected is sharply decreasing. To compare the accumulated numbers CC of cases and deaths DC per million and to answer the question why the less vaccinated Africa has accumulated 36 times lower CC values and 15 times lower DC values than Europe, simple statistical analysis have been performed. CC and DC values demonstrated rather strong correlation with the median age of populations. One-year increment in the median year yields 12-18 thousand increase in CC values and 52-83 increase in DC values. Zero-COVID countries succeed to have much lower numbers of deaths per capita and case fatality ratios DC/CC.