bluuebunny/crossref_metadata_2025_split huggingface dataset:
LIMK1 promotes peritoneal metastasis of gastric cancer and is a therapeutic target
Authors: Kang Xi , Li Weilin , Liu Weixin , Liang Han , Deng Jingyu , Wong Chi Chun , Zhao Sinan , Kang Wei , To Ka Fai , Chiu Philip Wai Yan , Wang Guiying , Yu Jun , Ng Enders Kwok Wai 
Published: April 2021

AbstractPeritoneal metastasis is a common form of metastasis among advanced gastric cancer patients. In this study, we reported the identification of LIM domain kinase 1 (LIMK1) as a promoter of gastric cancer peritoneal metastasis, and its potential to be a therapeutic target of dabrafenib (DAB). Using transcriptomic sequencing of paired gastric cancer peritoneal metastasis, primary tumors, and normal gastric tissues, we first unveiled that LIMK1 is selectively up-regulated in metastatic tumors. Increased LIMK1 in gastric cancer peritoneal metastasis was validated by immunohistochemistry analysis of an independent patient cohort. In vitro functional studies demonstrated that LIMK1 knockout or knockdown significantly inhibited cell migration and invasion of gastric cancer cells. LIMK1 knockout also abrogated peritoneal and liver metastases of gastric cancer cells in nude mice in vivo. Dabrafenib, a small molecule targeting LIMK1, was found to decrease cell migration and invasion of gastric cancer cells in vitro and abolish peritoneal and liver metastasis formation in vivo. Mechanistically, either LIMK1 knockout or Dabrafenib inhibited LIMK1 expression and phosphorylation of its downstream target cofilin. Taken together, our results demonstrated that LIMK1 functions as a metastasis promoter in gastric cancer by inhibiting LIMK1-p-cofilin and that Dabrafenib has the potential to serve as a novel treatment for gastric cancer peritoneal metastasis.
Emulating the local Kuramoto model with an injection-locked photonic crystal laser array
Authors: Takemura Naotomo , Takata Kenta , Takiguchi Masato , Notomi Masaya 
Published: April 2021

AbstractThe Kuramoto model is a mathematical model for describing the collective synchronization phenomena of coupled oscillators. We theoretically demonstrate that an array of coupled photonic crystal lasers emulates the Kuramoto model with non-delayed nearest-neighbor coupling (the local Kuramoto model). Our novel strategy employs indirect coupling between lasers via additional cold cavities. By installing cold cavities between laser cavities, we avoid the strong coupling of lasers and realize ideal mutual injection-locking with effective non-delayed dissipative coupling. First, after discussing the limit cycle interpretation of laser oscillation, we demonstrate the synchronization of two indirectly coupled lasers by numerically simulating coupled-mode equations. Second, by performing a phase reduction analysis, we show that laser dynamics in the proposed device can be mapped to the local Kuramoto model. Finally, we briefly demonstrate that a chain of indirectly coupled photonic crystal lasers actually emulates the one-dimensional local Kuramoto chain. We also argue that our proposed structure, which consists of periodically aligned cold cavities and laser cavities, will best be realized by using state-of-the-art buried multiple quantum well photonic crystals.
Risk factors for poor outcome in childhood tuberculous meningitis
Authors: Wang Mao-Shui , Zhao Mei , Liu Xin-Jie 
Published: April 2021

AbstractTuberculous meningitis (TBM) remains a serious disease for children and its risk factors of poor outcome remain unclear. Therefore, a retrospective study was conducted aiming to investigate the risk factors associated with poor outcome of childhood TBM. Between January 2006 and December 2019, consecutive children patients (≤ 15 years old) who had a diagnosis of TBM were included for the analysis. The demographic, clinical, laboratory, and radiographic data were collected from the electronic medical records retrospectively. Poor outcome was defined as death or transfer to a higher-level hospital. Patients were then divided into good and poor outcome groups. Subsequently, risk factors for poor outcome were estimated using univariate and multivariate logistic regression analysis. A total of 149 children with TBM was enrolled, twenty-two patients suffered poor outcome, including 16 transfers to a higher-level hospital and 6 deaths, and the remaining 127 patients were classified as good outcome group. Further multivariate analysis revealed that coma (age- and sex-adjusted OR = 6.425, 95% CI: 1.743, 23.676; P < 0.01) and cerebrospinal fluid (CSF) protein (> 1188.3 mg/L; age- and sex-adjusted OR = 4.680, 95% CI: 1.469, 14.902; P < 0.01) were associated with the poor outcome of childhood TBM. Childhood TBM remains to have a high mortality rate in China. High CSF protein and coma were identified as risk factors for poor outcome of childhood TBM. Hence, more attention is required to be paid to suspected patients with such characteristics, thus facilitating access to optimum treatment.
Evidence of a dysregulated vitamin D endocrine system in SARS-CoV-2 infected patient’s lung cells
Authors: George Bijesh , Amjesh Revikumar , Paul Aswathy Mary , Santhoshkumar T. R. , Pillai Madhavan Radhakrishna , Kumar Rakesh 
Published: April 2021

AbstractAlthough a defective vitamin D endocrine system has been widely suspected to be associated in SARS-CoV-2 pathobiology, the status of the vitamin D endocrine system and vitamin D-modulated genes in lung cells of patients infected with SARS-CoV-2 remains unknown. To understand the significance of the vitamin D endocrine system in SARS-CoV-2 pathobiology, computational approaches were applied to transcriptomic datasets from bronchoalveolar lavage fluid (BALF) cells of such patients or healthy individuals. Levels of vitamin D receptor, retinoid X receptor, and CYP27A1 in BALF cells of patients infected with SARS-CoV-2 were found to be reduced. Additionally, 107 differentially expressed, predominantly downregulated genes, as potentially modulated by vitamin D endocrine system, were identified in transcriptomic datasets from patient’s cells. Further analysis of differentially expressed genes provided eight novel genes with a conserved motif with vitamin D-responsive elements, implying the role of both direct and indirect mechanisms of gene expression by the dysregulated vitamin D endocrine system in SARS-CoV-2-infected cells. Protein–protein interaction network of differentially expressed vitamin D-modulated genes were enriched in the immune system, NF-κB/cytokine signaling, and cell cycle regulation as top predicted pathways that might be affected in the cells of such patients. In brief, the results presented here povide computational evidence to implicate a dysregulated vitamin D endocrine system in the pathobiology of SARS-CoV-2 infection.
Path integral implementation of relational quantum mechanics
Authors: Yang Jianhao M. 
Published: April 2021

AbstractRelational formulation of quantum mechanics is based on the idea that relational properties among quantum systems, instead of the independent properties of a quantum system, are the most fundamental elements to construct quantum mechanics. In a recent paper (Yang in Sci Rep 8:13305, 2018), basic relational quantum mechanics framework is formulated to derive quantum probability, Born’s Rule, Schrödinger Equations, and measurement theory. This paper further extends the reformulation effort in three aspects. First, it gives a clearer explanation of the key concepts behind the framework to calculate measurement probability. Second, we provide a concrete implementation of the relational probability amplitude by extending the path integral formulation. The implementation not only clarifies the physical meaning of the relational probability amplitude, but also allows us to elegantly explain the double slit experiment, to describe the interaction history between the measured system and a series of measuring systems, and to calculate entanglement entropy based on path integral and influence functional. In return, the implementation brings back new insight to path integral itself by completing the explanation on why measurement probability can be calculated as modulus square of probability amplitude. Lastly, we clarify the connection between our reformulation and the quantum reference frame theory. A complete relational formulation of quantum mechanics needs to combine the present works with the quantum reference frame theory.
Topical administration of the kappa opioid receptor agonist nalfurafine suppresses corneal neovascularization and inflammation
Authors: Shokirova Hurramhon , Inomata Takenori , Saitoh Tsuyoshi , Zhu Jun , Fujio Kenta , Okumura Yuichi , Yanagawa Ai , Fujimoto Keiichi , Sung Jaemyoung , Eguchi Atsuko , Miura Maria , Nagino Ken , Hirosawa Kunihiko , Kuwahara Mizu , Akasaki Yasutsugu , Nagase Hiroshi , Murakami Akira 
Published: April 2021

AbstractCorneal neovascularization (CNV) causes higher-order aberrations, corneal edema, ocular inflammation, and corneal transplant rejection, thereby decreasing visual acuity. In this study, we investigated the effects of topical administration of the kappa opioid receptor agonist nalfurafine (TRK-820) on CNV. To induce CNV, intrastromal corneal sutures were placed on the corneal stroma of BALB/c mice for 2 weeks. Nalfurafine (0.1 µg/2 μL/eye) was topically administered to the cornea once or twice daily after CNV induction. The CNV score, immune cell infiltration, and mRNA levels of angiogenic and pro-inflammatory factors in neovascularized corneas were evaluated using slit-lamp microscopy, immunohistochemistry, flow cytometry, and polymerase chain reaction. The mRNA expression of the kappa opioid receptor gene Oprk1 was significantly upregulated following CNV induction. Topical administration of nalfurafine twice daily significantly suppressed CNV and lymphangiogenesis, as well as reduced the mRNA levels of angiogenic and pro-inflammatory factors in the neovascularized corneas. Moreover, nalfurafine administration twice daily reduced the numbers of infiltrating leukocytes, neutrophils, macrophages, and interferon-γ-producing CD4+ T cells in the neovascularized corneas. In this study, we demonstrated that topical administration of nalfurafine suppressed local CNV in a mouse model along with the activation of KOR, suggesting that nalfurafine may prevent and control CNV in humans.
Outpatient therapy with piperacillin/tazobactam using elastomeric pumps in patients with Pseudomonas aeruginosa infection
Authors: Ferreiro Jose Luis Lamas , Otero Judith Álvarez , Rivo Ana Sanjurjo , González Lucía González , Conde Irene Rodríguez , Soneira María Fernández , García Javier Posada , de la Fuente Aguado Javier 
Published: April 2021

AbstractThe aim of this study was to evaluate the efficacy and safety of outpatient antimicrobial therapy with piperacillin-tazobactam in continuous infusion using elastomeric pumps and to evaluate the economic impact compared with conventional hospital treatment in patients with Pseudomonas aeruginosa (PA) infections. This is an observational study. Patients with PA infection treated with continuous piperacillin-tazobactam infusion using elastomeric pumps in our hospital between January 2015 and December 2017 were included. Primary outcomes were mortality during antibiotic treatment and mortality at 30 days. Secondary outcomes were reinfection or relapse at 30 days and clinical cure rate. The cost of each episode was compared with theoretical cost of the same treatment using conventional hospitalization. 35 patients were included. One patient (2.9%) died during the treatment. Overall 30-day mortality was 5.7%. No death was related to infection by PA. One patient (2.9%) had a reinfection at 30 days. Cure was achieved in 93% of patients at the end of treatment. There were no severe complications related to elastomeric pumps. Treatment cost with outpatient antimicrobial therapy was 67% lower than theoretical cost with conventional hospital treatment. Oupatient antimicrobial therapy with piperacillin-tazobactam in continuous infusion using elastomeric pumps in patients with PA infections is safe and effective with lower costs.
Immunoglobulin E levels and pregnancy-induced hypertension: Japan Environment and Children’s Study
Authors: Kyozuka Hyo , Murata Tsuyoshi , Fukuda Toma , Endo Yuta , Yamaguchi Akiko , Yasuda Shun , Kanno Aya , Sato Akiko , Ogata Yuka , Hosoya Mitsuaki , Yasumura Seiji , Hashimoto Koichi , Nishigori Hidekazu , Fujimori Keiya ,   The Japan Environment and Children’s Study (JECS) Group, Kamijima Michihiro , Yamazaki Shin , Ohya Yukihiro , Kishi Reiko , Yaegashi Nobuo , Mori Chisato , Ito Shuichi , Yamagata Zentaro , Inadera Hidekuni , Nakayama Takeo , Iso Hiroyasu , Shima Masayuki , Kurozawa Youichi , Suganuma Narufumi , Kusuhara Koichi , Katoh Takahiko 
Published: April 2021

AbstractHigh serum immunoglobulin E (IgE) levels are associated with cardiovascular events. We aimed to evaluate the association between total IgE levels during the first trimester of pregnancy and pregnancy-induced hypertension (PIH) development in a large Japanese cohort. We analysed data pertaining to singleton primipara pregnancies recorded in the Japan Environment and Children’s Study involving births from 2011 to 2014. Serum IgE levels were determined using the immunonephelometric technique. High serum IgE was defined as level ≥ 170 IU/ml. Hypertensive disorders in pregnancy (HDP) were categorized into early onset (Eo) PIH (developed < 34 weeks) or late onset (Lo) PIH (developed ≧ 34 weeks). A multiple logistic regression model was used to estimate the risk of high serum IgE levels on PIH, Eo-PIH, and Lo-PIH. Overall, 32,518 participants were enrolled. The prevalence of total, Eo-, and Lo-PIH was 3.2%, 0.6%, and 2.3%, respectively. Patients with high serum IgE levels had an increased risk of Lo-HDP (adjusted odds ratio [aOR]:1.19, 95% confidence interval 1.01–1.40). No correlation was found with either PIH (total) or Eo-PIH. High serum IgE levels during the first trimester were associated with the risk of Lo-PIH. Our results could influence and shape further research regarding the pathogenesis of Lo hypertension.
Intergenerational Montessori Program for Adults With Memory Concerns
Authors: Bourgeois Michelle , Brush Jennifer 
Published: April 2021

Purpose
This study evaluated the effects of an intergenerational Montessori after-school program on the engagement, affect, and quality of life of older adults with memory concerns and on the attitudes of children toward older adults.

Method
Eleven older adults were paired with 11 children to participate in a 45-min after-school activity program. Observations of engagement and affect during the interactions were collected 3 times a week for 4 weeks. The older adults' engagement and affect also were observed during 45-min planning/discussion sessions without the children present before their arrival to the program.

Results
Results revealed significant differences in older adults' engagement and positive affect when the children were present. Significant pre–post improvements in reported quality of life and maintenance of cognitive status were associated with program participation. Children demonstrated more active than passive engagement and more happy than neutral affect during activity sessions. Four of the seven children improved their positive ratings of older adults.

Conclusions
This program documented success in improving engagement and affect in older adults with mild memory concerns while engaging with children. Future studies with a larger sample of participants with varying degrees of memory impairment are needed to investigate the potential of this promising program.
Contrast of multi‐resolution analysis approach to transhumeral phantom motion decoding
Authors: Nsugbe Ejay , William Samuel Oluwarotimi , Asogbon Mojisola Grace , Li Guanglin 
Published: April 2021

AbstractIn signal processing, multiresolution decomposition techniques allow for the separation of an acquired signal into sub levels, where the optimal level within the signal minimises redundancy, uncertainties, and contains the information required for the characterisation of the sensed phenomena. In the area of physiological signal processing for prosthesis control, scenarios where a signal decomposition analysis are required: the wavelet decomposition (WD) has been seen to be the favoured time‐frequency approach for the decomposition of non‐stationary signals. From a research perspective, the WD in certain cases has allowed for a more accurate motion intent decoding process following feature extraction and classification. Despite this, there is yet to be a widespread adaptation of the WD in a practical setting due to perceived computational complexity. Here, for neuromuscular (electromyography) and brainwave (electroencephalography) signals acquired from a transhumeral amputee, a computationally efficient time domain signal decomposition method based on a series of heuristics was applied to process the acquired signals before feature extraction. The results showed an improvement in motion intent decoding prowess for the proposed time‐domain‐based signal decomposition across four different classifiers for both the neuromuscular and brain wave signals when compared to the WD and the raw signal.
Performance analysis of machine learning algorithms on automated sleep staging feature sets
Authors: Satapathy Santosh , Loganathan D , Kondaveeti Hari Kishan , Rath RamaKrushna 
Published: April 2021

AbstractWith the speeding up of social activities, rapid changes in lifestyles, and an increase in the pressure in professional fields, people are suffering from several types of sleep‐related disorders. It is a very tedious task for clinicians to monitor the entire sleep durations of the subjects and analyse the sleep staging in traditional and manual laboratory environmental methods. For the purpose of accurate diagnosis of different sleep disorders, we have considered the automated analysis of sleep epochs, which were collected from the subjects during sleep time. The complete process of an automated approach of sleep stages’ classification is majorly executed through four steps: pre‐processing the raw signals, feature extraction, feature selection, and classification. In this study, we have extracted 12 statistical properties from input signals. The proposed models are tested in three different combinations of features sets. In the first experiment, the feature set contained all the 12 features. The second and third experiments were conducted with the nine and five best features. The patient records come from the ISRUC‐Sleep database. The highest classification accuracy was achieved for sleep staging through combinations with the five feature set. From the categories of the subjects, the reported accuracy results were found to exceed above 90%. As per the outcome from the proposed system the random forest classification techniques achieved best accuracy incomparable to that of the other two classifiers.
DenseConv for 3D point set upsampling
Authors: Lu Jian , Li Zhe , Cheng Haozhe , Jia Xurui , Zhang Kaibing 
Published: April 2021

AbstractRecently, a data‐driven approach from point cloud upsampling network (PU‐Net) has been used to upsample point set, making it from sparse to dense. However, PU‐Net first needs to downsample the point set before upsampling, and extract the point features of fixed‐level in the sampling area. The local features are not enough to extract, and then restoring its global representation will lead to point cloud coordinates to be inaccurate. In view of the insufficient local feature extraction, EdgeConv module is utilised to merge the points and the information in the local neighbourhood. In addition, a dense connection is proposed to maintain the effective transmission of information across the entire network. In this letter, EdgeConv and dense connection are combined into DenseConv that are nested for recursive use on PU‐Net to ensure the accuracy of the generation of point cloud. The experimental results show that the average error of the proposed method is reduced by about 5% on the PU‐Net dataset and about 10% on the ModelNet10 dataset, which verifies the effectiveness of the proposed method.
Liquid metal frequency‐reconfigurable SIW bandpass filter based on gravity field
Authors: Mei Yuchao , Liu Bao‐Guang , Yi Yao , Xu Hui , Zhang Yerong 
Published: April 2021

AbstractIn this letter, a novel frequency‐reconfigurable substrate integrated waveguide (SIW) bandpass filter (BPF) based on gravity field is proposed. By inverting the proposed filter, the liquid metal would flow into or out of the non‐metallic via‐holes under the influence of gravity, so that the filter centre frequency can be switched from 1.76 GHz (4.54%) in state 1 to 2.02 GHz (5.94%) in state 2, and the insertion losses are maintained at 2.6 dB and 2.4 dB, respectively.
Fault recognition based test score for improving the accuracy of defect diagnosis
Authors: Tian Naiyu , Ouyang Dantong , Song Jincai , Zhang Liming 
Published: April 2021

AbstractDiagnosis is an essential step to improve the yield in semiconductor manufacturing industry. It is performed on a failing chip to determine the location of defects. However, the defect diagnosis procedure may obtain too much candidate faults which lead to difficulties in next physical failure analysis. Recently, the methods based on test score to reduce candidate fault set are proved to be effective. The previous test score diagnosis method based on fault free information computes a score for each test which implies the fault identification ability. This letter proposes a novel fault recognition based test score for diagnosis which considers the fault identification capability of tests more comprehensively to improve the original method. More information provided by unique responses and faults detected of a test is added to evaluate the fault recognition for calculating a test score. Then the novel test score which takes more advantages of diagnostic information is applied to adjusting the fault score and reducing the candidate set. The experimental results show that the novel approach reaches smaller fault candidate set than the previous method and increases the diagnostic resolution and precision, and thus provides an effective improvement on the accuracy of diagnosis.
Blocking artefacts reduction based on a ripple matrix permutation image of high‐frequency images in the wavelet domain
Authors: Du Xiuli , Liu Jinting , Zhang Wei , Lv Ya'na 
Published: April 2021

AbstractBlock compressed sensing (BCS) approaches based on matrix permutations effectively reduce blocking artefacts in the high‐quality reconstruction of images. To further reduce the blocking artefacts, the paper proposes a novel method for their processing in the wavelet domain based on the ripple matrix permutation (RMP) BCS approach. The method makes use of the energy distribution characteristics of images in the wavelet domain. The low‐frequency images contain the basic information. The high‐frequency images contain the edge textures information of the image, and these images are extremely sparse. Then, the proposed method performs matrix permutations only on the high‐frequency images. This avoids the obvious energy differences among the blocks. The method can better balance the textures among blocks; in turn, the blocking artefacts are reduced. The approach involves performing a wavelet decomposition on the image. Then, the transformed high‐frequency image is subjected to a RMP to achieve textures balancing. Finally, compressed sensing processing is performed on the permuted high‐frequency image. As a result, the balancing effect becomes more significant, and the low‐frequency part of the image remains unchanged, the differences among the blocks are reduced. Simulation results demonstrate that the high‐frequency part of the image wavelet domain is texture balanced. When the image is reconstructed after the compressed sensing step, the image quality is significantly improved.