bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evolution for Composition Analysis and Pattern of Shouzhou Kiln Porcelain by Comparison of Sui and Tang Dynasties and the Contemporary Era
Authors: Liu Xiaoyang , Gao Daming 
Published: August 2022

Abstract
Shouzhou kiln is located in the north of Anhui Province. Its porcelain was first fired in the Six Dynasties, peaked in the Sui and Tang Dynasties, but gradually declined in the late Tang Dynasty. Shouzhou kiln complied with the trend of the times and catered to the aesthetic taste of the public. In the Tang Dynasty, a new way was found, which laid a solid foundation for its great development and prosperity. In order to compare the differences between the Sui and Tang Dynasties and the modern Shouzhou kiln in the production process and composition, XRF and XRD were employed to analyze their compositions and structures. The results confirm that the main components are silica and alumina, which exist in the form of quartzite and mullite, indicating that the materials used for the body and glaze of Shouzhou kiln porcelain are relatively stable.
Identification of secondary prevention patients eligible for PCSK9 inhibitors therapy according to the routine clinical practice in Spain
Authors: Cosin-Sales Juan , Sidelnikov Eduard , Villamayor Santiago , Fernández Miriam , Merino-Montero Sandra , Zamora Alberto 
Published: August 2022

Abstract
Purpose
Many patients at very-high risk of cardiovascular (CV) events would benefit from lipid lowering therapies (LLT) intensification to decrease their risk. This study aimed to identify the real-world secondary prevention patients potentially eligible for proprotein convertase subtilisin–kexin type 9 inhibitors (PCSK9i) in Spain.
Methods
Retrospective cohort study included adult patients registered in the IQVIA Spanish Electronic Medical Records outpatient database (2014–2020), diagnosed with myocardial infarction (MI), unstable angina (UA), ischaemic stroke (IS), transient ischaemic attack (TIA), or peripheral artery disease (PAD) and with ≥ 1 low-density lipoprotein cholesterol (LDL-C) or total cholesterol measurements. Longitudinal data were collected from the initial diagnosis to the end of the study period or follow-up loss.
Results
The study included 9,516 patients, 63.9% male, mean (SD) age 67.7 (12.5) years and mean LDL-C 117.3 (38.8) mg/dL. MI, IS, and PAD were the most severe events reported, during the study period (28.5%,18.7%, and 29.3% of patients, respectively). At the time of last available LDL-C assessment (≥ 3 months post-event), 64.4% patients were on LLT. Of those, 45.4% were on high-, 46.9% on moderate-, and 7.7% on low-intensity LLT. Overall, 9.6% patients achieved LDL-C < 55 mg/dL (24.2% LDL-C < 70mg/dL). Furthermore, 17.9% patients receiving optimized LLT showed LDL-C > 100 mg/dL (LDL-C reimbursement threshold for PCSK9i in Spain).
Conclusion
Up to 82% of atherosclerotic CV disease patients do not achieve LDL-C levels recommended by the 2019 ESC/EAS guidelines despite being on optimized LLT therapy. In 17.9% of these patients LDL-C levels exceed 100 mg/dL, being eligible for PCSK9i in Spain.
Early stimulation and responsive care: a mediator of caregivers’ depression on the suspected developmental delay of left-behind children in China
Authors: Ma Gege , Li Mengshi , Tan Chang , Zhao Chunxia , Dou Yan , Duan Xiaoqian , Shi Huifeng , Wang Xiaoli , Zhang Jingxu 
Published: August 2022

Abstract

Purpose: Due to multiple factors, children left behind in rural areas suffer from delayed neurodevelopment (suspected developmental delay, SDD). This study aimed to analyze the effect of caregivers’ depression on left-behind children’s SDD, with early stimulation and responsive care mediating. Methods: A cross-sectional survey was conducted in villages of five Chinese counties. A total of 904 left-behind children and their primary family caregivers were enrolled. Information on the children and their caregivers were collected through face-to-face interviews. The Zung Self-rating Depression Scale (ZSDS) was used to measure caregivers’ depressive symptoms. The Ages and Stages questionnaires, third edition (ASQ-3) was used to screen children for SDD, which contains five domains: communication (CM), gross motor (GM), fine motor (FM), problem-solving (CG), and personal social (PS). Results: Of left-behind children’s caregivers, 39.7% experienced varying symptoms of depression. The prevalence of total SDD among left-behind children under three years was 31.4%. Caregivers’ ZSDS scores were positively correlated with the FM, GM, CG, and PS of the left-behind children. Caregivers’ early stimulation & responsive care was positively correlated with the CM, FM, CG, and PS of the left-behind children. Conclusion: Left-behind children under three years in rural China were at high risk of SDD and their caregivers’ mental health was not good. Caregivers’ depressive symptoms may negatively affect the suspected developmental delay of left-behind children through caregivers providing less early stimulation and responsive care. A comprehensive intervention should be conducted to promote the health of left-behind children and their caregivers.
The Comparison of Depressive Symptoms and White Blood Cell (WBC) Count between the Sexual Minorities and Heterosexual Identifying Individuals in a Nationally Representative Sample: 2005-2014
Authors: Lu Junjie , Yang Jiarui , Liang Jingyang , Mischoulon David , Nyer Maren 
Published: August 2022

Abstract
Background
Sexual minorities are at a higher risk of suffering from depressive symptoms compared with heterosexual individuals. Only a few studies have examined the conditions of depression within different sexual minority groups, especially people with sexual orientation uncertainty. Furthermore, few studies have explored whether the mean white blood count (WBC) is different between people with and without depressive symptoms among different sexual minority groups in a nationally representative sample.
Methods
We analyzed the National Health and Nutrition Examination Survey (NHANES) data from 2005 to 2014 with a sample of 14,090 subjects. We compared the prevalence of depressive symptoms in subpopulations stratified by sex, sexual minority status, and race. We also examined the difference in mean WBC count between depressed and non-depressed people among heterosexual individuals and different sexual minority groups. Additionally, two multivariable logistic regression models were used to explore the association between sexual minority status and depressive symptoms, treating sexual minority status as both a binary and categorical variable.
Results
Female sex (OR: 1.96, 95% CI: 1.72–2.22) and sexual minority status (OR: 1.79, 95% CI: 1.47–2.17) were both independently associated with depressive symptoms. Within the sexual minority population, subjects who were unsure about their sexual identities had the highest odds of having depressive symptoms (OR: 2.56, 95%CI: 1.40–4.68). In the subgroup analysis considering intersectionality, black females of sexual minorities had the highest proportion of depressive symptoms (19.4%, 95% CI: 7.72–40.98). Finally, the mean WBC count differed significantly between people with and without depressive symptoms among male heterosexual individuals, female heterosexual individuals, and female sexual minorities, but not among male sexual minorities.
Conclusions
Based on sex, race, and sexual minority status, black females with sexual minority status had the highest proportion of depressive symptoms. Within sexual minority groups, participants who were unsure about their sexual identities had the highest odds of having depression. Finally, the mean WBC count was significantly higher among people with depressive symptoms than those without depressive symptoms only among male heterosexuals, female heterosexuals, and female sexual minorities, but not among male sexual minorities. Future research should investigate the social and biological mechanisms of the differences.
Single-cell RNA binding protein regulatory network analyses reveal oncogenic HNRNPK-MYC signalling pathway in cancer
Authors: Li Yongsheng , Zhou Weiwei , Jie Qiuling , Pan Tao , Shi Jingyi , Jiang Tiantongfei , Zhang Ya , Ding Na , Xu Juan , Ma Yanlin 
Published: August 2022

Abstract
RNA-binding proteins (RBPs) are key players of gene expression and perturbation of RBP-RNA regulatory network has been observed in various cancer types. Here, we propose a computational method, RBPreg, to identify the RBP regulators by integration of single cell RNA-Seq (N = 233,591) and RBP binding data. Pan-cancer analyses suggest that RBP regulators exhibit cancer and cell specificity and perturbation of RBP regulatory network is involved in cancer hallmark-related functions. We prioritize an oncogenic RBP-HNRNPK, which is highly expressed in tumors and associated with poor prognosis of patients. Functional assays performed in cancer cells reveal that HNRNPK promotes cancer cell proliferation, migration, and invasion in vitro and in vivo. Mechanistic investigations further demonstrate that HNRNPK promotes tumorigenesis and progression by directly binding to MYC and perturbed the MYC targets pathway in lung cancer. Our results provide a valuable resource for characterizing RBP regulatory networks in cancer, yielding potential biomarkers for precision medicine.
The structural and fuctional changes of glymphatic system in children with attention-deficit/hyperactivity disorder
Authors: Chen Yingqian , Wang Miaomiao , Su Shu , Dai Yan , Zou Mengsha , Lin Liping , Qian Long , Li Xianjun , Zhang Hongyu , Liu Meina , Chu Jianping , Yang Jian , Yang Zhiyun 
Published: August 2022

Abstract
Background
The enlarged perivascular Virchow-Robin space (VRS), which indicates a glymphatic system alternation, is very common in patients with neurodegenerative diseases. However, assessing those morphological changes in this region by using conventional techniques may be challenging. In this study, we investigated structural and functional changes in the glymphatic system in the treatment-naïve attention-deficit/hyperactivity disorder (ADHD) children by quantitatively measuring the VRS volume using a Diffusion Tensor Image-Analysis Along the Perivascular Space (DTI-ALPS).
Methods
A total of 47 pediatric ADHD patients and 52 age- and gender-matched typically developing (TD) children were recruited in this prospective study. The VRS volume was calculated using a semi-automated approach in axial T2WI images. Diffusivities along the x, y, and z-axis in the projection, association, and subcortical neural fiber areas on the diffusivity maps were measured. The ALPS-index, a ratio that accentuated water diffusion along the perivascular space, was calculated with: ALPS-index = mean (Dxproj, Dxassoc)/mean (Dyproj, Dzassoc). The Mann-Whitney U test was used to compare the quantitative parameters; Pearson correlation was used to analyze the correlation with clinical symptoms.
Results
The cerebral VRS volume (mean, 15.514 mL vs.11.702mL) and the VRS volume ratio in the ADHD group were larger than in the TD group (all P < 0.001). The Dxassoc and ALPS-index were significantly smaller in the ADHD group vs. TD group (mean, 1.40 vs.1.59, P < 0.05 after FDR adjustment). Besides, the ALPS-index was related to inattention symptoms of ADHD (r= -0.323, P < 0.05).
Conclusions
Our study suggests that the glymphatic system alternation may participate in the pathogenesis of ADHD. Moreover, the VRS volume and ALPS index could be used as the metrics for diagnosing ADHD. The study of glymphatic system change may be a new research direction for exploring the mechanisms of psycho-behavioral developmental disorders.
Trial registration:
This prospective study has been registered online (https://clinicaltrials.gov/ [Identifier: ChiCTR2100048109]).
DConvLSTM: An Autotuning Distributed CNN Model in Cloud Environment for Optimized Accuracy, Scaling, and Execution Time
Authors: Srira Harini , Lokesh Saddikuti , Sai Jitendra 
Published: August 2022

Abstract
Artificial Intelligence (AI) and deep learning have altered the digital landscape. Data grows in lockstep with technological advancements. The training procedure for Deep Learning algorithms is becoming increasingly complex as the amount of data available grows. In the deep learning process, having superior technology to speed up the training and testing time is critical. CNN (Convolutional Neural Networks) is a deep learning algorithm for image processing that is widely utilized. In this paper, a novel distributed CNN with LSTM is proposed to optimize accuracy, execution time, and scalability. Different methodologies and tactics for improving CNN training time through distributed models are studied. To comprehend the neural network structure of parallelizing and spreading the execution, each layer of the CNN is investigated and analyzed. Computations on the CPU, GPU, and TPU are also investigated, as well as settings like Google Colab, AWS SageMaker, and others. According to the analysis, the use of an L2 regularization, dropout layer, and a ConvLSTM for autotuning of hyperparameters improves speed in all settings, The final CNN, with these additional layers for performance acceleration, is subsequently deployed in Google Cloud Platform Virtual Machine (VM) instances. This makes it easier to investigate the performance of the proposed distributed deep learning model at scale. Due to the communication between multiple nodes involved in distributing a deep learning model, the model's accuracy usually suffers. But in this proposed work utilizing an autotuning LSTM and Distributed CNN algorithm that distributes optimally and balances accuracy and speed-up is proposed in this proposed work. The proposed models achieved a 2.206 percent boost in speed with respect to data parallel DConvLSTM and a 1.4 percent improvement in model parallel training time of DConvLSTM. The maximum accuracy achieved was 93.3825 and 89.59 percent in data-parallel and model-parallel executions respectively.
Service Level Agreement Optimization via Reverse Engineering the QoE/QoS Relations
Authors: Mousavi Ashraf Sadat , Kazemitabar Javad , Ebrahimzadeh Ata 
Published: August 2022

Abstract
Along with the growth of the Internet comes a competitive environment among Internet service providers. In this regard, quality of service (QoS) and customer's quality of experience (QoE) is introduced as the two main criteria of satisfaction for network users/regulators. In this paper, we have evaluated these two criteria for one of the largest Internet service communication networks in Iran. By providing a predictive model, we propose solutions to improve the quality of the communication network. Because the quality of experience can only be achieved through direct contact with users - a time-consuming and costly process - the use of a predictive model can be very helpful. Our model predicts the quality of experience from the quality-of-service parameters with an accuracy of about ninety percent. Next, we reverse-engineer the relationship between the quality of experience and quality of service to develop a service level agreement (SLA) contract. The relationship between quality of experience and quality of service is then compiled into a set of if-then rules. In this regard, using a decision tree classifier, we were able to set the quality-of-service parameter thresholds for the gold, silver, and bronze SLAs.
Cross-Language Entity Alignment for Joint Entity Screening and Dual Relation Graph
Authors: Zhang Xiaoming , Zhang Wencheng , Wang Huiyong 
Published: August 2022

Abstract
In knowledge graphs of different languages, entity alignment is usuallyinterfered by problems such as structural heterogeneity and languagedifference. The emergence of these problems seriously affects the taskof entity alignment. Existing methods continuously improve alignmentstrategies, but often ignore the impact of triples with the same headand tail entity names on the entity alignment task. This paper takes thehead entity in the triple as the central entity, and proposes an entityalignment method that effectively utilizes neighbor entities with thesame entity name as the central entity. We take advantage of the multi-order properties of Graph Convolutional Neural Networks to processentities, relationships and attributes in the source and target knowl-edge graphs through knowledge structure embedding and entity nameembedding. We define the primal graph and the dual relation graphrespectively, the former is composed of two knowledge graphs together,and the latter is constructed by the association of relations in triplesto strengthen the role of relations. We use the primal graph and thedual relation graph to process the entities and relationships in knowledgegraphs. We compare the output vectors obtained by the two meth-ods, and then select the optimal output vector, combine the entityID to remove the neighbor entities that are completely equivalent tothe central entity, and finally obtain the final alignment result throughneighbor sampling and the similarity calculation of the correspondingentity. Experimental results on real datasets show that our methodsignificantly helps improve the task of cross-lingual entity alignment.
The 2022 Mw6.2 Pasaman, Indonesia, Earthquake Sequence and Its Implication of Seismic Hazard in Central-West Sumatra
Authors: Wulandari Rizki , Chan Chung-Han , Wibowo Adhi 
Published: August 2022

AbstractThe 2022 Mw6.2 Pasaman earthquake took place in central-west Sumatra in association with activity in the Sumatran Fault system. This study clarifies the spatial and temporal distribution of the Pasaman earthquake sequence and forecasts the earthquake sequence’s impact on the seismicity in the vicinity and in the Sumatran Fault system. We first examined the seismicity before the mainshock and observed temporal lowb-value anomalies, shedding light on the earthquake’s precursor by monitoringb-values prior to the event. Based on the aftershocks the first 18 days, we modeled the temporal distribution of the aftershocks according to the modified Omori’s law, which suggested this sequence could last 37–451 days. By further considering Båth’s law and the Gutenberg–Richter law, we estimated the temporal distribution of the maximum magnitudes in the aftershock sequence. To understand the spatial pattern of the aftershocks, we calculated the coseismic Coulomb stress change imparted by the Pasaman mainshock. The stress increases extended northwest and southeast, consistent with aftershock distribution. We further evaluated rupture probability for each segment of the Sumatran Fault. Considering the stress perturbation imparted by the Pasaman earthquake, we expected a seismicity rate increase of ca. 40% at the Sumpur and Sianok segments in the short term. To quantify long-term rupture probability, the recurrence interval and the time elapsed since the previous earthquake were incorporated based on the time-dependent Brownian passage-time model. A high rupture probability is expected for a segment with a short recurrence interval and/or long time elapsed since the last earthquake. The earthquake probability at the Sumani segment in the coming 50 years was determined to be 72%. The outcomes of this study are the last word for subsequent probabilistic seismic hazard assessment for not only Sumatra but also certain metropolises in Malaysia and Singapore.
Ozone Decreases CRMP2 Phosphorylation by Inhibiting Sema3A to Ameliorate Chronic REM Sleep Deprivation-Induced Cognitive Deficits in Mice
Authors: jingru tu , Williams John P. , Sun Li-Na , Yan Yi-Ning , Liu Yu , An Jian-Xiong 
Published: August 2022

Abstract
Sleep is essential for proper cognitive functioning. Ozone can delay both the aging process as well as the associated neurodegeneration. An untested hypothesis is that ozone may play a role in reducing the cognitive impairment associated with sleep deprivation. This study was designed to elucidate the mechanism of ozone’s effect on chronic REM sleep deprivation induced cognitive dysfunction in mice. Ozone ameliorated cognitive dysfunction in chronic REM sleep deprived mice, increased the number of dendritic spines in the hippocampus region and decreased neuronal loss. Administration of ozone may protect against chronic REM sleep deprivation induced cognitive dysfunction by enhancing the expression of Semaphorin 3A (Sema3A) and PlexinA1 concentrations as well as P-CRMP2/CRMP2 in the hippocampus. Moreover, ozone was associated with acetylation of α-tubulin which, in turn, is associated with microtubule network dynamics and modulates ATP synthase activity. In conclusion, ozone may play a neuroprotective role and improve chronic REM sleep deprivation induced spatial recognition and learning memory dysfunction in mice.
Serum CA19-9 as a predictor of incident metabolic syndrome in men over 50 years of age with obesity: a 9-year cohort study
Authors: Chang Pi-Kai , Hu Je-Ming , Wu Li-Wei 
Published: August 2022

Abstract
BackgroundThe tumor marker carbohydrate antigen (CA)19-9 is elevated in cancer and chronic diseases. However, the status of CA19-9 in metabolic syndrome (MetS), a common chronic disease in Asia, has not been thoroughly investigated. MethodsFrom 2007 to 2015, 1750 participants were retrospectively reviewed, and their routine health checkup data were obtained. The participants were divided into three groups based on their CA19-9 level. Their body mass index (BMI), waist circumference, and blood pressure were determined. Blood samples were collected from individuals after fasting for 8 h to determine biochemical parameters and tumor markers. MetS was defined according to the revised National Cholesterol Education Program’s Adult Treatment Panel III. Association between CA19-9 levels and incident MetS was evaluated using Cox regression models.ResultsThe group with the highest CA19-9 level tended to exhibit incident MetS (p = 0.002, HR = 2.44, 95% CI 1.39–4.27), and type 2 diabetes mellitus (p < 0.001, HR = 4.27, 95% CI 2.07–8.12) after adjusting for covariates. The group with the highest CA19-9 level showed a significant correlation with the incidence of all MetS components: high systolic blood pressure (≥130 mm Hg; p < 0.001, HR = 2.45, 95% CI 1.50–4.00); high waist circumference (≥90 cm; p < 0.001, HR = 2.29, 95% CI 1.46–3.60); high fasting plasma glucose levels (≥100 mg/dL; p = 0.001, HR = 2.05, 95% CI 1.33–3.18); low high-density lipoprotein levels (≤50 mg/dL; p = 0.001, HR = 2.24, 95% CI 1.39–3.60); and high triglyceride levels (≥150 mg/dL; p = 0.001, HR = 2.20, 95% CI 1.40–3.48). Subgroup analyses of age, sex, and BMI-specific groups revealed that participants with obesity (BMI ≥ 24) in the highest CA19-9 tertile, male, and ≥ 50 years of age were significantly associated with incident MetS (p = 0.002, HR = 2.56, 95% CI 1.39–4.69; p = 0.001, HR = 1.88, 95% CI 1.28–2.76; and p = 0.002, HR = 2.75, 95% CI 1.44–5.25, respectively). ConclusionsOur results revealed a positive correlation between CA19-9 levels and MetS in men over 50 years of age with obesity.