bluuebunny/crossref_metadata_2025_split huggingface dataset:
Can Digital Finance Reduce Carbon Emission Intensity? A Perspective Based on Factor Allocation Distortions: Evidence from Chinese Cities
Authors: Yang Gangqiang , Ding Ziyu , Wu Mao , Gao Mingzhe , Yue Ziyang , Wang Haisen 
Published: September 2022

Abstract
The world is facing the challenges of climate change and energy structure adjustments. The role of digital finance, a new branch of business that combines digital technology and traditional financial products, in reducing global carbon emissions needs to be studied. This paper uses panel data on 280 cities in China from 2011 to 2019 to empirically examine the efficacy of digital finance for governing carbon emission reductions and the mechanism by which it does so. The results show that: 1. digital finance can facilitate carbon emission reductions and help reduce carbon emission intensity within regions.2. Digital finance helps promote the rational allocation of resources and alleviates factor distortions by encouraging firms to rationally use their own factor endowments so as to reduce carbon emission intensity, which holds robustly after considering the endogenous issues such as possibly omitting variables, collinearity and so on. 3.Differences in geographical location, the vitality of regional innovation and entrepreneurship, regional willingness to protect the environment, and environmental protection levels lead to heterogeneity in the effect of digital finance on carbon emission intensity. Therefore, it is necessary to vigorously develop digital finance as a long-term tool for carbon governance.
A pan-cancer study of the role of lysine specific demethylase 1 (LSD1) in human cancers
Authors: Shao Ying-Ying , Yang Qiu-Hong , Zhang Han-Bin , Xie Bao-Cheng , Han Wei-Chao , Xu Yong-Xiang , Ding Shao-Bo , He Rui-Rong 
Published: September 2022

Abstract
Objectives: To conduct a pan-cancer analysis of a relationship between LSD1 and cancer.
Setting: Although increasing evidence from cell- or animal-based research supports the existence of a relationship between LSD1 and cancer, there is no pan-cancer analysis.
Data sources: Databases, including TCGA, and GEO.
Results: On the basis of the TCGA and GEO datasets, we first found that LSD1 may contribute to tumorigenesis across 34 tumor types. LSD1 is expressed in most cancers at a higher level than in normal tissues, and there are distinguishable differences between the LSD1 expression and prognosis of patients. We found that the phosphorylation level of S166 is highly expressed in several tumors, including breast cancer, uterine corpus endometrial carcinoma and lung adenocarcinoma. There was an association between the expression of LSD1 and the infiltration of cancer-associated fibroblasts in BRCA, CESC, ESCA, HNSC, KIRC, LUAD, LUSC, PAAD and PCPG. In addition, RNA transport, mRNA surveillance pathways, and spliceosome -associated functions are also involved in the molecular mechanisms of LSD1.
Conclusions: This pan-cancer study provides a fairly comprehensive description of the oncogenic roles of LSD1 in a wide variety of tumors.
Willingness to Pay for Social Health Insurance and Its Determinants Among Public School Teachers in Akaki Kality Sub-City of Addis Ababa City Administration: Ethiopia. Institution-based cross-sectional study
Authors: Banti Degefa Uma , Yallew Walelegn Work , Toli Wasihun Edossa 
Published: September 2022

AbstractBackground:Ethiopia is one of the countries with high out-of-pocket payments leading to catastrophic health expenditure. The government of Ethiopia introduced social health insurance scheme to reduce the out-of-pocket payments. However, there is limited evidence on willingness to pay for social health insurance among formal sector employees in the country.This study aimed to assess the willingness to pay for social health insurance and its associated factorsamong teachers in public school of Addis Ababa.Methods:An institution-based cross-sectional study was conducted from 10th January to 15th April 2022 on 280 teachers. Systematic sampling technique was used; data were collected using pretested self-administered structured questionnaire. The collected data were analyzed using SPSS version 23. Binary logistic regression analysis was performed to estimate crude odds ratios. In the multivariate model, a significant level at p-value of < 0.05 and adjusted odds ratio with 95%CI was used to determine the statistical association between the willingness to pay and explanatory variables.Result:Two hundred eight 74.3%were willing pay for social health insurance. Higher educational status [AOR=5.48; 95%CI (1.80, 16.73)], difficulties associated with healthcare cost [AOR=2.39; 95%CI (1.35, 4.24)], awareness about social health insurance [AOR=5.59; 95%CI (2.98, 10.48)], and knowledge of social health insurance’s benefit package [AOR=5.56; 95%CI (3.07, 10.04)] showed significant positive association with willingness to pay for social health insurance. Perception for poor quality of public health facilityand trust on a health insurance agencyshowed significant negative association and teachers lost interest for social health insurance scheme.Conclusions:Three – fourth of the public-school teachers were willing to pay the premium proposed by the government. Higher educational status, difficulties associated with healthcare cost and awareness about social health insurance were the factors that affect positively the willingness to pay for social health insurance among public school teachers. This can pave the way to start the scheme but attention should focus on improving the quality of public health facilities and the trustfulness on health insurance agency.
Stable frequency transfer for clock synchronization for telecom networks
Authors: Wang Xiaocheng , Han Qiaoni , Li Yupeng , Han Liang 
Published: September 2022

Abstract
A stable and reliable clock synchronization system that transfers reference clocks to nodes is essential for telecom networks. Mainly, the clock synchronization of telecom networks is carried out through satellite links. However, for the evolving ubiquitous wireless communications, especially in some harsh environments, such as underground and trenches, the satellite-based clock synchronization scheme bears inevitable obstacles, which may cause strategic risks for the telecom networks, since no control and manipulation can be imposed on the satellite systems. Therefore, to ensure the robust operation of telecom networks with performance guarantees, some auxiliary means are desirable to assist clock synchronization that is solely based on satellite links. In this article, we report a phase-stabilized frequency signal transmission on branching optical fiber for clock synchronization for telecom networks. Particularly, the phase fluctuation due to optical carriers separation link and fiber link is compensated by a feedback network, which employs a high-precision voltage-controlled oscillator in the phase-locked loop to drive the acousto-optic frequency shifter for fast phase correction. Furtherly, the factors that cause performance limitations of the frequency distribution system are analyzed. Eventually, the experiment results obtained show that a stabilized fiber-optic frequency transfer scheme can be used as a reliable method for clock synchronization with high accuracy.
Histopathological Patterns of Ophthalmic Lesions and Associated Factors in Jimma University Medical Center, Jimma, South West Ethiopia: a 5-year Retrospective Cross-sectional Study, 2021
Authors: Ebrahim Habib , Kedir Abdo , Sena Lelisa 
Published: September 2022

AbstractBackground Ophthalmic lesions comprise a wide range of disorders ranging from benign and precancerous to malignant lesions. This study was undertaken to investigate the prevalence and clinicopathological relations of ophthalmic lesions in Jimma University Medical Center as characterization of these lesions has vital importance for better diagnosis and management of patients. Methods A retrospective study of 209 ophthalmic lesions in Jimma university medical center from 2016 to 2020 which were registered on the biopsy log book was included in the study. Data were entered and cleaned Using an excel spreadsheet and analyzed in SPSS version 26. Descriptive statistics and regression analysis were done to determine the proportion of the ophthalmic lesions. Results 209 cases of ophthalmic lesions were reviewed, of these 118 (56.5%) were malignant and 58 (27.8%) were benign lesions and CIN accounted for 20 (9.6%). Non-neoplastic lesions had the lowest group of cases observed accounting for 8 (3.8%). Conjunctiva was the most common site of ophthalmic lesions 128 (61.2%). Squamous cell carcinoma was the leading ophthalmic malignancy 58 (49.1%). There was a bimodal distribution of age, in the first decade due to retinoblastoma and the fourth decade due to Squamous cell carcinoma. Male to female ratio was found to be 1.7:1. The second decade and third decades of life had an 87% and 85% decrease in the odds of developing malignancy, with a p-value of 0.006 (AOR: 0.12 (CI: 0.02–0.54) and p-value of 0.007 (AOR: 0.14(CI: 0.03–0.58) respectively. Intra-ocular lesions were 22 times more likely to be diagnosed with a malignant diagnosis than other anatomical sites with a p-value of 0.026 (AOR: 22.05, CI: 2.54–9.84). Conclusion The commonest ophthalmic malignancy was Squamous cell carcinoma. There was a bimodal distribution of age, in the first decade due to retinoblastoma and the fourth decade due to squamous cell carcinoma. The second and third decades of life had decreased odds of being diagnosed with ophthalmic malignancy. The intra-ocular location of tumors was associated with increased odds of ophthalmic malignancy.
Feasibility of In Vivo MR Elastography of Mesenteric Adipose Tissue in Crohn’s Disease
Authors: Jensen Laura , Loch Florian Nino , Kamphues Carsten , Shahryari Mehrgan , Garcia Stephan Rodrigo Marticorena , Siegmund Britta , Weidinger Carl , Kühl Anja Andrea , Hamm Bernd , Braun Jürgen , Sack Ingolf , Asbach Patrick , Reiter Rolf 
Published: September 2022

Abstract
Although there is growing evidence that functional involvement and structural changes of mesenteric adipose tissue (MAT) influence the course of Crohn's disease (CD), its viscoelastic properties remain elusive. Therefore, we aimed to investigate the viscoelastic properties of MAT in CD using MR elastography (MRE). In this prospective proof-of-concept study, 31 subjects (CD: n = 11, healthy controls: n = 20) were investigated using MRE at 1.5Tesla with frequencies of 40-70Hz. Volumes of interest in MAT were drawn adjacent to CD lesions (MATCD) and on the opposite side without adjacent bowel lesions in patients (MATCD_Opp) and controls (MATCTRL). A statistically significant decrease in mean shear wave speed (SWS) of 7% was found for MATCD_Opp vs. MATCTRL (0.76 ± 0.05m/s vs. 0.82 ± 0.04m/s, p = 0.012), whereas there was a nonsignificant trend with an 8% increase for MATCD vs. MATCD_Opp (0.82 ± 0.07m/s vs. 0.76 ± 0.05m/s, p = 0.098) and no difference for MATCD vs. MATCTRL. Preliminary AUC analysis showed diagnostic accuracy in detecting CD to be excellent for SWS of MATCD_Opp (AUC = 0.82) but poor for SWS of MATCD (AUC = 0.52). This study demonstrates the feasibility of MRE of MAT and presents preliminary reference values for CD patients and healthy controls. Our results motivate further studies for the biophysical characterization of MAT in inflammatory bowel disease.
Clinical profiles of first-time drug offenders in Taipei City: Comparison of methamphetamine, MDMA, and marijuana users
Authors: Chen Lian-Yu , Chen Wei-J , Pan Chun-Hung , Kuo Chian-Jue , Huang Ming-Chyi 
Published: September 2022

Abstract
Background:
Little is known regarding the clinical profiles of first-time drug offenders who received addiction treatment under deferred prosecution in Taiwan.
Method:
We recruited participants who received addiction treatment under deferred prosecution for methamphetamine (METH), MDMA, and marijuana (MJ) use from 2017 Jan to 2019 Dec. We used contingency analysis and multivariate logistic regression to compare their sociodemographic characteristics, psychiatric and physical comorbidities, and factors associated with treatment dropouts.
Results:
Of the 1,216 patients, 87.4 % were male and 12.6% female. 77.4% were METH users, with 11.4% MDMA and 11.2% MJ. Compared to the METH group, the MDMA group was more likely to have concurrent use of alcohol, ketamine, and new psychoactive substances, while the MJ group was more likely to have alcohol use only. Both the MDMA and MJ groups were less likely to have substance-induced psychotic disorder (aOR=0.28 [0.09, 0.93], p<0.05; aOR=0.1 [0.01, 0.73], p<0.05) compared to the METH group. Compared to the METH group, MDMA and MJ groups were less likely to have STDs such as HIV and syphilis. Being age <35 (aOR: 1.30 [1.02-1.68]) and having education < college (aOR: 1.67 [1.29-2.17]) were significantly associated with higher odds of treatment dropout.
Conclusions:
Our study demonstrated distinct clinical profiles of different drug types among first-time drug offenders. Such findings could offer valuable implications for a more tailored intervention program designed for illicit drug users in a legal system.
PeriFast/Dynamics: a MATLAB code for explicit fast convolution-based peridynamic analysis of deformation and fracture
Authors: Jafarzadeh Siavash , Mousavi Farzaneh , Bobaru Florin 
Published: September 2022

Abstract
We present PeriFast/Dynamics, a compact and user-friendly MATLAB code for fast peridynamic (PD) simulations for deformation and fracture. PeriFast/Dynamics uses the fast convolution-based method (FCBM) for spatial discretization and an explicit time marching scheme to solve large-scale dynamic fracture problems. Different from existing PD solvers, PeriFast/Dynamics does not require neighbor search and storage, due to the use of the Fast-Fourier Transform and its inverse. Run-times and memory allocation are independent of the number of neighbors inside the PD horizon, leading to faster computations and lower storage requirements. The governing equations and discretization method are briefly reviewed, the code structure explained, and individual modules described in detail. A 3D demonstrative example on dynamic brittle fracture is solved using three different constitutive models (a bond-based, an ordinary state-based, and a correspondence model). Differences between the results are explained. Users are provided with a step-by-step description of the problem setup and execution of the code. PeriFast/Dynamics is a branch of the PeriFast suite of codes, and is available for download at the GitHub link provided in reference [1].
Glucagon-like peptide 1 receptor agonists and the potential risk of pancreatic carcinoma: a real-world pharmacovigilance study of post-marketing surveillance data
Authors: Cao Mingnan , Pan Chen , Tian Yue , Wang Li , Zhao Zhigang , Zhu Bin 
Published: September 2022

Abstract
Background There are conflicting data on the potential risks of pancreatic carcinoma associated with glucagon-like peptide 1 receptor agonists (GLP-1RAs).
Aim The study aimed to determine whether GLP-1RAs were associated with increased detection of pancreatic carcinoma based on the FDA Adverse Events Reporting System (FAERS) and clarify its potential mechanisms through keyword co-occurrence analysis.
Method Disproportionality and Bayesian analyses were used for signal detection using reporting odds ratio (ROR), proportional reporting ratio (PRR), information component (IC), and empirical Bayesian geometric mean (EBGM). Mortality, life-threatening events, and hospitalizations were also investigated. Keyword co-occurrence analysis of publications was adopted to uncover potential molecular mechanisms.
Results A total of 3,073 pancreatic carcinoma cases were related to GLP-1RAs. Five GLP-1RAs were detected with signals for pancreatic carcinoma. Liraglutide had the strongest signal detection (ROR 54.45, 95% CI 51.21-57.90; PRR 52.52, 95%CI 49.49-55.73; IC 5.59; EBGM 48.30). The signals of exenatide (ROR 37.32, 95%CI 35.47-39.28; PRR 36.45, 95%CI 34.67-38.32; IC 5.00; EBGM 32.10) and lixisenatide (ROR 37.07, 95%CI 9.09-151.09; PRR 36.09; 95%CI 9.20-141.64; IC 5.17, EBGM 36.09) were stronger than those of semaglutide (ROR 7.43, 95%CI 5.22-10.57; PRR 7.39; 95%CI 5.20-10.50; IC 2.88, EBGM 7.38) and dulaglutide (ROR 6.47, 95%CI 5.56-7.54; PRR 6.45; 95%CI 5.54-7.51; IC 2.67, EBGM 6.38). The highest mortality rate occurred in exenatide (63.58%). cAMP/protein-kinase, Ca2+ channel, endoplasmic-reticulum stress, and oxidative stress are potential pathogenesis of pancreatic carcinoma resulted from GLP-1RAs.
Conclusion GLP-1RAs, except albiglutide, are associatedwith pancreatic carcinoma based on the pharmacovigilance study.
Camera-based high precision position detection for hybrid Additive Manufacturing with Laser Powder Bed Fusion
Authors: Merz Benjamin , Nilsson Ricardo , Garske Constantin , Hilgenberg Kai 
Published: September 2022

Abstract
Additive manufacturing (AM) in general and laser powder bed fusion (PBF-LB/M) in particular are becoming increasingly important. Especially the high achievable accuracies and the great freedom in design makes PBF-LB/M interesting for the manufacturing and repair of gas turbine blades. Part repair involves building AM-geometries onto an existing component. To minimize the offset between component and AM-geometry, a precise knowledge of the position of the component in the PBF-LB/M machine is mandatory. However, components cannot be inserted into the PBF-LB/M machine with repeatable accuracy, so the actual position will differ for each part. For an offset-free build-up, the actual position of the component in the PBF-LB/M machine has to be determined. In this paper, a camera-based position detection system is developed considering PBF-LB/M constraints and system requirements. This includes finding a suitable camera position and analyzing the process coordinate systems. In addition, a workflow is developed to align different coordinate systems and simultaneously correct the perspective distortion in the acquired camera images. Thus, position characteristics can be determined from images by image moments. The precision of the system developed is evaluated in tests with 2D objects. A precision of up to 30 µm in translational direction and an angular precision of 0.021° is achieved. Finally, a 3D demonstrator was built using the hybrid process. The offset between base component and AM-geometry is determined by 3D scanning and is 69 µm.
The epigenetic factor CHD4 contributes to metastasis by regulating the EZH2/β-catenin axis and acts as a therapeutic target in ovarian cancer
Authors: Wang Jieyu , Zhong Fangfang , Li Jun , Yue Huiran , Li Wenzhi , Lu Xin 
Published: September 2022

Abstract
Background: The overall survival rate of patients with advanced ovarian cancer (OC) has remained static for several decades. Advanced ovarian cancer is known for its poor prognosis due to extensive metastasis. Epigenetic alterations contribute to tumor progression and therefore are of interest for potential therapeutic strategies.
Methods: Following our previous study, we identified that CHD4, a chromatin remodeling factor, plays a strong role in ovarian cancer cell metastasis. We investigated the clinical significance of CHD4 through TCGA and GEO database, and explored the function of CHD4 and romidepsin on the biological behavior of ovarian cancer through CCK-8 and transwell assays. Bioluminescent mouse xenograft tumorigenesis studies were applied to determine the therapeutic role of romidepsin. GSEA and western blot were used to screen the regulation mechanism of CHD4.
Results: In ovarian cancer patient specimens, high CHD4 expression is associated with a poor prognosis. Loss of function of CHD4 in ovarian cancer cells causally suppresses migration and invasion. Mechanistically, CHD4 knockdown suppresses the expression of EZH2 and the nuclear accumulation of β-catenin. CHD4 also suppressed the metastasis of ovarian cancer cells and prevented disease progression in a mouse model. To inhibit the functions of CHD4 that are mediated via histone deacetylase, we evaluated the effect of the HDAC1/2 selective inhibitor romidepsin. In accordance with these findings, treatment with romidepsin compromised the growth of metastases in vitro and in vivo.
Conclusions: Collectively, our results uncovered an oncogenic function of CHD4 in ovarian cancer and provide a rationale for clinical trials of romidepsin in ovarian cancer patients.
Diversity of bacterial symbionts associated with the tropical plant bug Monalonion velezangeli (Hemiptera: Miridae) revealed by high-throughput 16S rRNA sequencing.
Authors: Navarro-Escalante Lucio , Benavides Pablo , Acevedo Flor Edith 
Published: September 2022

Abstract
Insects and microbes have developed complex symbiotic relationships that evolutively and ecologically play beneficial roles for both, the symbiont and the host. In most Hemiptera insects, bacterial symbionts offer mainly nutritional, defense and reproductive roles and have promoted the adaptive radiation of several hemipteran phytophagous lineages. The tropical plant bug Monalonion velezangeli (Hemiptera: Miridae) is a polyphagous herbivore considered an important insect pest for several economically-relevant tropical crops; however, information about the composition of its bacterial microbiota was missing. In this study, we describe the diversity and structure of the bacterial microbiota in the nymph and adult life stages of M. velezangeli using Illumina high-throughput sequencing of 16S ribosomal RNA gene amplicons (meta-barcoding). We found that both insect life stages share a similar microbiota in terms of bacterial diversity and community structure. The intracellular symbiont Wolbachia (~92%) dominated the overall microbiome composition in these life stages, followed by the potential gut-associated bacteria genera Romboutsia (1.8%), Ignavibacterium (0.8%) and Clostridium (0.70%) as the top most abundant taxa. The persistent presence of bacterial genera Romboutsia , Ignavibacterium, Clostridium, Paracoccus, Allobaculum, Methylobacterium, Sediminibacterium, Faecalibaculum, Faecalibacterium, Collinsella, Rothia and Sphingomonas suggest these are members of the core microbiota and could play important biological roles for M. velezangeli . This data opens new questions and avenues to better understand the contribution of symbiotic bacteria in the biological performance of this insect pest.
scMoMaT: a unified framework for single cell mosaic integration and multi-modal bio-marker detection
Authors: Zhang Ziqi , Sun Haoran , Mariappan Ragunathan , Chen Xi , Chen Xinyu , Jain Mika Sarkin , Efremova Mirjana , Teichmann Sarah , Rajan Vaibhav , Zhang Xiuwei 
Published: September 2022

Abstract
Single cell data integration methods aim to integrate cells across data batches and modalities, and data integration tasks can be categorized into horizontal, vertical, diagonal, and mosaic integration, where mosaic integration is the most general and challenging case with few methods developed. We propose scMoMaT, a method that is able to integrate single cell multi-omics data under the mosaic integration scenario using matrix tri-factorization. During integration, scMoMaT is also able to uncover the cluster specific bio-markers across modalities. These multi-modal bio-markers are used to interpret and annotate the clusters to cell types. Moreover, scMoMaT can integrate cell batches with unequal cell type compositions. Applying scMoMaT to multiple real and simulated datasets demonstrated these features of scMoMaT and showed that scMoMaT has superior performance compared to existing methods. Specifically, we show that integrated cell embedding combined with learned bio-markers lead to cell type annotations of higher quality or resolution compared to their original annotations.