bluuebunny/crossref_metadata_2025_split huggingface dataset:
Implementasi Kebijakan Restrukturisasi Pembiayaan UMKM Terdampak Covid-19 dan Manajemen Risiko Force Majeure Pada PT. BPRS Ikhsanul Amal Gombong
Authors: Mukhsinun Mukhsinun , Nurikurnia Sinta 
Published: February 2023

Kebijakan restrukturisasi pembiayaan adalah kebijakan memberikan kelonggaran kepada nasabah dalam melakukan kredit angsuran pembiayaan, tujuannya yaitu membantu nasabah yang bermasalah dalam kredit angsuran. Hal ini tentu ada penyebab mengapa nasabah mengalami masalah dalam kredit yaitu Pandemi covid-19. Pada kali ini penulis akan melakukan penelitian mengenai nasabah pembiayaan UMKM bermasalah akibat force majeure atau bencana alam karena Pandemi Covid-19. Pandemi ini sangat mempengaruhi sektor ekonomi, UMKM menjadi yang paling terdampak karena aktivitas masyarakat yang dibatasi untuk keluar rumah, mengakibatkan pendapatan pengusaha UMKM menurun drastis. Implementasi kebijakan relaksasi atau restrukturisasi pembiayaan UMKM terdampak covid-19 dan manajemen resiko force majeure yang dilakukan oleh PT. BPRS Ikhsanul Amal Gombong sudah cukup baik, proses pengerjaan cepat hanya menunggu ± 3 hari, proses pengajuan mudah dan kebijakan tersebut sangat membantu nasabah UMKM yang terdampak covid-19. Manajemen resiko yang diterapkan PT. BPRS Ikhsanul Amal Gombong yaitu meliputi: Prudential Banking Principle (berhati-hati), Pembentukan Penyisihan Pengapusan Aktiva Produktif (PPAP), Penagihan Intensif, Strategi Pemasaran Produk, Pengikatan Jaminan.
Analisis Hukum Perikatan Islam Terhadap Kerjasama Periklanan Google Adsense Pada Youtube
Authors: Nurseha Muhammad Achid , Hakim Muhammad Fajrul 
Published: February 2023

The purpose of this study is to find out how the mechanism of Google Adsense advertising cooperation on Youtube and whether the mechanism is in accordance with Islamic law of engagement. This research is Library Research with a qualitative approach. The data collecting techniques are using the study of literatures, documents, Google's official website while to strengthen the data used interviews with Content Creators. The results of this study indicates that the Google Adsense advertising cooperation mechanism involves three parties, namely the Advertiser as the first party, Google as the second party and Content Creator as the third party. Advertisers ask Google for services to advertise their products and Google cooperates with Content Creators to serve ads. Advertiser pays to Google according to the agreement and Google will share the results with the Content Creator according to applicable regulations. The contract used from the perspective of Islamic law is called an ijarah agreement between the Advertiser and Google and a syirkah contract between Google and the Content Creator. In the course of the transaction or cooperation, it reflects the value of Islamic engagement law, both from contracts, transactions and reflects the value of principles in Islamic engagement law.
Discourse Network Analysis (DNA): Aktivisme Digital dalam Perdebatan Isu “Presiden Tiga Periode” di Twitter
Authors: Khatami Muhammad Iqbal 
Published: February 2023

Artikel ini menawarkan Discourse Network Analysis (DNA) tentang bagaimana pola komunikasi aktivisme digital dalam perdebatan publik pada isu “Presiden Tiga Periode”. Data diambil dari capture tweet di Media Sosial Twitter dengan kata kunci “Presiden Tiga Periode” dan mendapat total 2606 Tweet dan Komentar dengan pengambilan data sumber dari tanggal 16 hingga 24 September 2021. Pemrosesan data yang dihasilkan berupa diagram akun dengan references tertinggi, diagram indikator isu perdebatan, sociogram, dan data wordcloud. Hasil penelitian ini menunjukkan akun yang terlibat dalam perdebatan didominasi oleh akun tanpa identitas dan memiliki pengikut yang sangat banyak hingga ratusan ribu. Peta perdebatan utama dalam isu ini bukan pada pro dan kontra, namun pada saling konter narasi. Pihak pendukung pemerintah menganggap isu ini adalah permainan oposisi, dan pihak oposisi menarasikan bahwa ini merupakan rencana pemerintahan saat ini untuk mewacanakan jabatan presiden tiga periode melalui amandemen UUD 1945. Implikasi dan kontribusi dari penelitian ini adalah menggambarkan bagaimana keterkaitan antar wacana dilihat dari aktor yang terlibat, akun yang disebut, tagar yang digunakan hingga persebaran tweet yang dilihat dari sociogram.
Pengaruh Terpaan Tayangan Video YouTube Otodriver.com Terhadap Asosiasi Merek Mobil Pada Pengikut Akun
Authors: Prabowo Dhimas Luthfi , Salim Mufid , Hariyanti Nunik , Marta Rustono Farady 
Published: February 2023

Seiring berkembangnya zaman, semakin banyak masyarakat yang mengandalkan perolehan informasi melalui sarana internet atau media online. Media online sendiri memiliki peran sangat penting dalam penyebaran informasi. Otodriver.com merupakan portal berita di internet khusus membahas mengenai otomotif. Berawal dari website www.otodriver.com lalu melebarkan sayap ke kanal YouTube dan menyajikan konten audio visual yang berisi tentang informasi mengenai kendaraan roda empat terbaru yang diulas secara lengkap oleh para ahli secara independen. Penelitian ini dilakukan untuk mengetahui apakah terdapat pengaruh terpaan tayang video YouTube Otodriver.com terhadap asosiasi merek mobil terhadap pengikut akun. Metode penelitian yang dilakukan adalah kuantitatif eksplanatif dengan purposive sampling terhadap 100 orang pengikut akun. Hasil dari penelitian ini menunjukkan terdapat 64,7% pengaruh terpaaan tayang dengan asosiasi merek mobil pengikut akun. Asosiasi merek merupakan pengalaman untuk mengidentifikasikan identitas pembeda antara suatu barang atau jasa lainnya.
A label-free LC/MS-based enzymatic activity assay for the detection of PDE5A inhibitors
Authors: Ma Yufeng , Zhang Fengsen , Zhong Yijing , Huang Yongchun , Yixizhuoma  , Jia Qiangqiang , Zhang Shoude 
Published: February 2023

Phosphodiesterase type 5 (PDE5), a cyclic nucleotide phosphodiesterase, controls the duration of the cyclic guanosine monophosphate (cGMP) signal by hydrolyzing cGMP to GMP. Inhibiting the activity of PDE5A has proven to be an effective strategy for treating pulmonary arterial hypertension and erectile dysfunction. Current enzymatic activity assay methods for PDE5A mainly use fluorescent or isotope-labeled substrates, which are expensive and inconvenient. Here, we developed an LC/MS-based enzymatic activity assay for PDE5A without labeling, which detects the enzymatic activity of PDE5A by quantifying the substrate cGMP and product GMP at a concentration of 100 nM. The accuracy of this method was verified by a fluorescently labeled substrate. Moreover, a new inhibitor of PDE5A was identified by this method and virtual screening. It inhibited PDE5A with an IC50 value of 870 nM. Overall, the proposed strategy provides a new method for screening PDE5A inhibitors.
A machine learning approach for predicting descending thoracic aortic diameter
Authors: Yu Ronghuang , Jin Min , Wang Yaohui , Cai Xiujuan , Zhang Keyin , Shi Jian , Zhou Zeyi , Fan Fudong , Pan Jun , Zhou Qing , Tang Xinlong , Wang Dongjin 
Published: February 2023

BackgroundTo establish models for predicting descending thoracic aortic diameters and provide evidence for selecting the size of the stent graft for TBAD patients.MethodsA total of 200 candidates without severe deformation of aorta were included. CTA information was collected and 3D reconstructed. In the reconstructed CTA, a total of 12 cross-sections of peripheral vessels were made perpendicular to the axis of flow of the aorta. Parameters of the cross sections and basic clinical characteristics were used for prediction. The data was randomly split into the training set and the test set in an 8:2 ratio. To fully describe diameters of descending thoracic aorta, three predicted points were set based quadrisection, and a total of 12 models at three predicted points were established using four algorithms included linear regression (LR), support vector machine (SVM), Extra-Tree regression (ETR) and random forest regression (RFR). The performance of models was evaluated by mean square error (MSE) of the prediction value, and the ranking of feature importance was given by Shapley value. After modeling, prognosis of five TEVAR cases and stent oversizing were compared.ResultsWe identified a series of parameters which affect the diameter of descending thoracic aorta, including age, hypertension, the area of proximal edge of superior mesenteric artery, etc. Among four predictive models, all the MSEs of SVM models at three different predicted position were less than 2 mm2, with approximately 90% predicted diameters error less than 2 mm in the test sets. In patients with dSINE, stent oversizing was about 3 mm, while only 1 mm in patients without complications.ConclusionThe predictive models established by machine learning revealed the relationship between basic characteristics and diameters of different segment of descending aorta, which help to provide evidence for selecting the matching distal size of the stent for TBAD patients, thereby reducing the incidence of TEVAR complications.
CARD9 deficiency improves the recovery of limb ischemia in mice with ambient fine particulate matter exposure
Authors: Zhu Qiang , Liu Xuanyou , Wu Hao , Yang Chunlin , Wang Meifang , Chen Feng , Cui Yuqi , Hao Hong , Hill Michael A. , Liu Zhenguo 
Published: February 2023

BackgroundExposure to fine particulate matter (PM) is a significant risk for cardiovascular diseases largely due to increased reactive oxygen species (ROS) production and inflammation. Caspase recruitment domain (CARD)9 is critically involved in innate immunity and inflammation. The present study was designed to test the hypothesis that CARD9 signaling is critically involved in PM exposure-induced oxidative stress and impaired recovery of limb ischemia.Methods and resultsCritical limb ischemia (CLI) was created in male wildtype C57BL/6 and age matched CARD9 deficient mice with or without PM (average diameter 2.8 μm) exposure. Mice received intranasal PM exposure for 1 month prior to creation of CLI and continued for the duration of the experiment. Blood flow and mechanical function were evaluated in vivo at baseline and days 3, 7, 14, and 21 post CLI. PM exposure significantly increased ROS production, macrophage infiltration, and CARD9 protein expression in ischemic limbs of C57BL/6 mice in association with decreased recovery of blood flow and mechanical function. CARD9 deficiency effectively prevented PM exposure-induced ROS production and macrophage infiltration and preserved the recovery of ischemic limb with increased capillary density. CARD9 deficiency also significantly attenuated PM exposure-induced increase of circulating CD11b+/F4/80+ macrophages.ConclusionThe data indicate that CARD9 signaling plays an important role in PM exposure-induced ROS production and impaired limb recovery following ischemia in mice.
Estimating the causal effects of genetically predicted plasma proteome on heart failure
Authors: Yang Jian , Yan Bin , Zhang Haoxuan , Lu Qun , Yang Lihong , Liu Ping , Bai Ling 
Published: February 2023

BackgroundHeart Failure (HF) is the end-stage cardiovascular syndrome with poor prognosis. Proteomics holds great promise in the discovery of novel biomarkers and therapeutic targets for HF. The aim of this study is to investigate the causal effects of genetically predicted plasma proteome on HF using the Mendelian randomization (MR) approach.MethodsSummary-level data for the plasma proteome (3,301 healthy individuals) and HF (47,309 cases; 930,014 controls) were extracted from genome-wide association studies (GWASs) of European descent. MR associations were obtained using the inverse variance-weighted (IVW) method, sensitivity analyses, and multivariable MR analyses.ResultsUsing single-nucleotide polymorphisms as instrumental variables, 1-SD increase in MET level was associated with an approximately 10% decreased risk of HF (odds ratio [OR]: 0.92; 95% confidence interval [CI]: 0.89 to 0.95;p = 1.42 × 10−6), whereas increases in the levels of CD209 (OR: 1.04; 95% CI: 1.02–1.06;p = 6.67 × 10−6) and USP25 (OR: 1.06; 95% CI: 1.03–1.08;p = 7.83 × 10−6) were associated with an increased risk of HF. The causal associations were robust in sensitivity analyses, and no evidence of pleiotropy was observed.ConclusionThe study findings suggest that the hepatocyte growth factor/c-MET signaling pathway, dendritic cells-mediated immune processes, and ubiquitin-proteasome system pathway are involved in the pathogenesis of HF. Moreover, the identified proteins have potential to uncover novel therapies for cardiovascular diseases.
Determination of initial velocity of gas diffusion under temperature control
Authors: Shang Xianguang , Wei Jianping , Wen Zhihui , Shang Linwei , Yuan Junling 
Published: February 2023

Introduction: The initial velocity of gas diffusion (ΔP) of coal is an important index to characterize the outburst risk of coal, and temperature is an important factor affecting the determination of initial velocity of gas diffusion. However, how to control the temperature during ΔP determination remains a significant challenge. Methods: In this paper, an experimental system for ΔP testing under temperature-controlled conditions was constructed, and the effect of temperature on the ΔP determination results was further explored by accurately controlling the temperature of the testing system. Results: The results show that the temperature change will affect the determination result of ΔP in the range of 13°C–40°C, and the determination results do not show obvious regularity. Discussion: The main reasons for the analysis are as follows: during the determination of ΔP, although the higher the temperature is, the faster the speed of gas diffusion and the greater the amount of gas diffusion and the pressure produced in the first 60 s, but the smaller the amount of gas adsorption before release. There is a situation of mutual offset between the two, resulting in the fluctuation of ΔP determination results. It is concluded that the temperature change will affect the determination of the initial velocity of gas diffusion, and when ΔP is measured, the temperature of the experimental system should be consistent with the actual temperature of the sampled coal body as far as possible, so as to increase the reliability of the measured results for the prediction of coal and gas outburst. This paper provides an experimental basis for clarifying the industry standard of temperature related to ΔP.
Machine learning-based prediction of candidate gene biomarkers correlated with immune infiltration in patients with idiopathic pulmonary fibrosis
Authors: Zhang Yufeng , Wang Cong , Xia Qingqing , Jiang Weilong , Zhang Huizhe , Amiri-Ardekani Ehsan , Hua Haibing , Cheng Yi 
Published: February 2023

ObjectiveThis study aimed to identify candidate gene biomarkers associated with immune infiltration in idiopathic pulmonary fibrosis (IPF) based on machine learning algorithms.MethodsMicroarray datasets of IPF were extracted from the Gene Expression Omnibus (GEO) database to screen for differentially expressed genes (DEGs). The DEGs were subjected to enrichment analysis, and two machine learning algorithms were used to identify candidate genes associated with IPF. These genes were verified in a validation cohort from the GEO database. Receiver operating characteristic (ROC) curves were plotted to assess the predictive value of the IPF-associated genes. The cell-type identification by estimating relative subsets of RNA transcripts (CIBERSORT) algorithm was used to evaluate the proportion of immune cells in IPF and normal tissues. Additionally, the correlation between the expression of IPF-associated genes and the infiltration levels of immune cells was examined.ResultsA total of 302 upregulated and 192 downregulated genes were identified. Functional annotation, pathway enrichment, Disease Ontology and gene set enrichment analyses revealed that the DEGs were related to the extracellular matrix and immune responses. COL3A1, CDH3, CEBPD, and GPIHBP1 were identified as candidate biomarkers using machine learning algorithms, and their predictive value was verified in a validation cohort. Additionally, ROC analysis revealed that the four genes had high predictive accuracy. The infiltration levels of plasma cells, M0 macrophages and resting dendritic cells were higher and those of resting natural killer (NK) cells, M1 macrophages and eosinophils were lower in the lung tissues of patients with IPF than in those of healthy individuals. The expression of the abovementioned genes was correlated with the infiltration levels of plasma cells, M0 macrophages and eosinophils.ConclusionCOL3A1, CDH3, CEBPD, and GPIHBP1 are candidate biomarkers of IPF. Plasma cells, M0 macrophages and eosinophils may be involved in the development of IPF and may serve as immunotherapeutic targets in IPF.
Uptake of Ni(II), Eu(III) and Pu(III/IV) by Hardened Cement Paste in the Presence of Proxy Ligands for the Degradation of Polyacrylonitrile
Authors: Szabo P. G. , Tasi A. G. , Gaona X. , Maier A. C. , Hedström S. , Altmaier M. , Geckeis H. 
Published: February 2023

The uptake of 63Ni(II), 152Eu(III) and 242Pu(III/IV) by hardened cement paste (HCP, CEM I) in the degradation stage II (pH ≈ 12.5 [Ca] ≈ 0.02 M) was investigated in the absence and presence of α-hydroxyisobutyric, 3-hydroxybutyric and glutaric acids. These organic ligands were previously identified as proxies for the degradation products of UP2W (a polyacrylonitrile-based material used as filter aid in nuclear power plants) under repository conditions. Sorption experiments were conducted with various ligand concentrations (10−4 M ≤ [L]tot ≤ 0.1 M) and solid-to-liquid ratios (0.5 g⋅dm–3 ≤ S:L ≤ 20 g⋅dm–3). Redox conditions in the Pu systems were buffered with either hydroquinone (HQ, pe + pH ≈ 10) or Sn(II) (pe + pH ≈ 2). Strong sorption is observed for 152Eu(III) and 242Pu(III/IV) in the absence of proxy ligands, with distribution coefficients (log Rd ≈ 2.2–4, with Rd in m3⋅kg–1) in line with data reported in the literature. No differences are observed for sorption experiments with Pu in HQ and Sn(II) systems. Lower Rd values are determined for 63Ni(II) (log Rd,Ni63 ≈ 0-1), consistently with previous studies. In combination with log Rd,Ni determined on the basis of the concentration of stable Ni(II) in pristine HCP and in cement porewater, values of the partition coefficient (α) close to 1 are determined. This suggests that the uptake of 63Ni is possibly driven by isotopic exchange with the complete species inventory of stable Ni present in pristine HCP, including Ni in solid phases and associated with surfaces, e.g., of C-S-H phases. The presence of proxy ligands has a negligible effect on the uptake of 152Eu(III) up to [L]tot = 0.1 M. A slight decrease in the distribution ratios for 63Ni(II) and 242Pu(III/IV) is observed at [L]tot &gt; 10−2 M, although the effect is less evident in the case of plutonium due to the dispersion of the data and the increase of the detection limits with increasing ligand concentrations. Compared to strongly complexing ligands like isosaccharinic acid or gluconate, the investigated proxy ligands show a minor capacity for radionuclide mobilization in cementitious systems, even at high concentrations.
Processed meat, red meat, white meat, and digestive tract cancers: A two-sample Mendelian randomization study
Authors: Yun Zhangjun , Nan Mengdie , Li Xiao , Liu Zhu , Xu Jing , Du Xiaofeng , Dong Qing , Hou Li 
Published: February 2023

BackgroundPrevious observational studies suggested inconsistent insights on the associations between meat intake and the risk of digestive tract cancers (DCTs). The causal effect of meat intake on DCTs is unclear.MethodsTwo-sample Mendelian randomization (MR) was performed based on genome-wide association studies (GWAS) summary data from UK Biobank and FinnGen to evaluate the causal effect of meat intake [processed meat, red meat (pork, beef, and lamb), and white meat (poultry)] on DCTs (esophageal, stomach, liver, biliary tract, pancreatic, and colorectal cancers). The causal effects were estimated using a primary analysis that employed inverse-variance weighting (IVW) and complementary analysis that utilized MR-Egger weighted by the median. A sensitivity analysis was conducted using the Cochran Q statistic, a funnel plot, the MR-Egger intercept, and a leave-one-out approach. MR-PRESSO and Radial MR were performed to identify and remove outliers. To demonstrate direct causal effects, multivariable MR (MVMR) was applied. In addition, risk factors were introduced to explore potential mediators of the relationship between exposure and outcome.ResultsThe results of the univariable MR analysis indicated that genetically proxied processed meat intake was associated with an increased risk of colorectal cancer [IVW: odds ratio (OR) = 2.12, 95% confidence interval (CI) 1.07–4.19; P = 0.031]. The causal effect is consistent in MVMR (OR = 3.85, 95% CI 1.14–13.04; P = 0.030) after controlling for the influence of other types of exposure. The body mass index and total cholesterol did not mediate the causal effects described above. There was no evidence to support the causal effects of processed meat intake on other cancers, except for colorectal cancer. Similarly, there is no causal association between red meat, white meat intake, and DCTs.ConclusionsOur study reported that processed meat intake increases the risk of colorectal cancer rather than other DCTs. No causal relationship was observed between red and white meat intake and DCTs.
[18F]FDG PET/CT versus [18F]FDG PET/MRI for the diagnosis of colorectal liver metastasis: A systematic review and meta-analysis
Authors: Miao Zhi , Zhao Xiaomeng , Li Xuanwen 
Published: February 2023

PurposeThe purpose of our meta-analysis and systematic review was to compare the diagnostic performance of [18F]FDG PET/CT and [18F]FDG PET/MRI in colorectal liver metastasis.MethodsWe searched PubMed, Embase, and Web of Science for eligible articles until November 2022. Studies focusing on the diagnostic value of [18F]FDG PET/CT or PET/MRI for colorectal liver metastasis were included. Using a bivariate random-effect model, the pooled sensitivity and specificity for [18F]FDG PET/CT and [18F]FDG PET/MRI were reported as estimates with 95% confidence intervals (CIs). Heterogeneity among pooled studies was assessed using the I2 statistic. The Quality Assessment of Diagnostic Performance Studies (QUADAS-2) method was used to evaluate the quality of the studies that were included.ResultsThere were a total of 2743 publications identified in the initial search, finally, a total of 21 studies comprising 1036 patients were included. The pooled sensitivity, specificity, and AUC of [18F]FDG PET/CT in were 0.86 (95% CI: 0.76-0.92), 0.89 (95% CI: 0.83-0.94), and 0.92(95% CI: 0.90-0.94). [18F]FDG PET/MRI were 0.84 (95% CI: 0.77-0.89), 1.00 (95% CI: 0.32–1.00), and 0.89(95% CI: 0.86-0.92), respectively.Conclusion[18F]FDG PET/CT shows similar performance compared to [18F]FDG PET/MRI in detecting colorectal liver metastasis. However, pathological results were not obtained for all patients in the included studies and PET/MRI results were derived from studies with small sample sizes. There is a need for additional, larger prospective studies on this issue.Systematic review registrationhttps://www.crd.york.ac.uk/prospero/, identifier (CRD42023390949).