bluuebunny/crossref_metadata_2025_split huggingface dataset:
Variasi Terjemahan Surah Al-Fātiḥah dalam Bahasa Jawa Pada Naskah Kuran Jawi dan Kitab Kuran
Authors: Febriyanti Fitri , Khafidoh Nur 
Published: April 2022

One of the messages conveyed through Javanese literary works is a guide to religious life. These guidelines can be translated through the holy book on every religious community that has ever been embraced by the Javanese people. This study uses two Javanese scripts and is written using Javanese script (Javanese script), namely Kuran Jawi and Kitab Kuran. This type of research is a qualitative descriptive research, namely the resulting data is described using sentences. Methods of data collection by means of literature study. The results showed that the Javanese language used in the two manuscripts was New Javanese. The Javanese language used is not only one level of speech, but there are various Javanese ngoko, madya, krama, and krama inggil languages. To find out the variation of the Javanese translation in Surah Al-Fātiḥah in the Kuran Jawi and the Kuran manuscripts is to compare the literal translations. the characteristics of variations in Javanese translation, namely in word formation, include reduplication and affixation. In addition, variations in the use of the lexicon can be caused by the level of speech and the form of sentences translated from Arabic.
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Salah satu pesan yang disampaikan melalui karya sastra berbahasa Jawa adalah pedoman hidup beragama. Pedoman tersebut dapat diterjemahkan melalui kitab suci pada setiap umat beragama yang pernah dianut oleh masyarakat Jawa. Penelitian ini menggunakan dua naskah berbahasa Jawa dan ditulis dengan menggunakan aksara Jawa (carakan Jawa) yakni Kuran Jawi dan Kitab Kuran. Jenis penelitian ini merupakan penelitian deskriptif kualitatif yakni data yang dihasilkan dideskripsikan dengan menggunakan kalimat-kalimat. Metode pengumpulan data dengan cara studi pustaka. Hasil penelitian menunjukkan bahwa bahasa Jawa yang digunakan dalam kedua naskah adalah bahasa Jawa Baru. Bahasa Jawa yang digunakan bukan hanya satu tingkat tutur saja, melainkan terdapat ragam bahasa Jawa ngoko, madya, krama, dan krama inggil. Untuk mengetahui adanya variasi terjemahan bahasa Jawa dalam Surah Al-Fātiḥah pada naskah Kuran Jawi dan Kitab Kuran adalah membandingkan terjemahan secara harfiah. karakteristik variasi terjemahan bahasa Jawa yakni dalam pembentukan kata meliputi reduplikasi dan afiksasi. Selain itu variasi penggunaan leksikon dapat disebabkan karena tingkat tutur maupun bentuk kalimat yang diterjemahkan dari bahasa Arab
Respon Pertumbuhan Bibit Kakao (Theobroma cacao L.) Pada Pemberian Biochar dan MOL.
Authors: Adam Sitti Putri Fitriah Madjidir , Bahrun Andi , Alwi La Ode 
Published: April 2022

Penelitian ini bertujuan untuk mengevaluasi pengaruh perlakuan pemberian biochar dan larutan MOL terhadap pertumbuhan bibit tanaman kakao. Penelitian di laksanakan di rumah kaca pada Laboratorium Lapangan Fakultas Pertanian Universitas Halu Oleo Kendari Provinsi Sulawesi Tenggara, pada bulan Juni sampai bulan November tahun 2019. Dengan menggunakan metode Rancangan Acak Kelompok (RAK) dengan pola faktorial. Faktor pertama adalah Biochar Kulit Buah Kakao (B) yang terdiri dari 3 (tiga) taraf, yaitu tanpa biochar kulit buah kakao (B0), biochar kulit buah kakao 30 g/polybag (B1), biochar kulit buah kakao 60 g/polybag (B2). Sedangkan faktor kedua adalah Mikro Organisme Lokal (MOL) (M) dari bonggol pisang, rebung bambu dan sabut kelapa yang terdiri dari 3 (tiga) taraf, yaitu tanpa MOL (M0), MOL 40 ml/polybag(M1), MOL 80 ml/polybag(M2). Setiap perlakuan diulang sebanyak 3 kali, sehingga terdapat 27 unit percobaan. Data hasil pengamatan di alanalisis dengan analisis ragam, di lanjutkan dengan uji UJBD jika terdapat pengaruh nyata. Hasil penelitian menunjukkan bahwa interaksi perlakuan biochar dan larutan MOL berpengaruh nyata terhadap pertumbuhan bibit tanaman kakao yang ditunjukkan dengan peningkatan tinggi tanaman, dan berpengaruh sangat nyata terhadap berat basah akar, berat kering tajuk dan akar serta panjang akar. Interaksi Pemberian perlakuan biochar 30 g/polybag dan larutan MOL 80 ml/polybag mampu meningkatkan pertumbuhan bibit tanaman kakao dibandingkan dengan kontrol.
STRATEGI PROMOSI WISATA MAI TE WUNA SEBAGAI DAYA TARIK WISATAWAN DI KABUPATEN MUNA
Authors: Zulzaman Zulzaman , Bahtiar Bahtiar , Marhadi Akhmad 
Published: April 2022

Tujuan penelitian adalah untuk menganalisis dan mendeskripsikan strategi promosi Mai Te Wuna sebagai daya tarik wisatawan di Kabupaten Muna. Teori yang digunakan untuk membaca data adalah pemikiran Stephen K. Sanderson (2003) tentang infrastruktur material. Metode yang digunakan, yaitu metode etnografi Sanderson, dimana data diperoleh melalui observasi dan wawancara, serta melakukan pengamatan mengenai hal-hal yang berkaitan dengan promosi wisata, dan selanjutnnya semua objek penelitian dianalisis secara deskriptif kualitatif. Hasil penelitian mengenai promosi wisata Mai Te Wuna sebagai daya tarik wisatawan di Kabupaten Muna masih fokus pada pembenahan sarana dan prasarana seperti jalan, air bersih, dan penataan lokasi objek wisata. Adapun, untuk menarik simpati para wisatawan dibuatkan promosi wisata melalui TV, radio, website dan media sosial lainnya dan untuk menopang segala pengembangan pembangunan infrastruktur menuju objek wisata yang ada di Kabupaten Muna masih menyesuaikan dengan kebutuhan anggaran daerah yang tersedia. Pembangunan sektor pariwisata yang berkelanjutan akan menyandingkan ekologi masyarakat setempat demi menjaga kultur dan budaya tradisionalnya. Hal ini menjadi sangat penting bagi masyarakat Muna untuk meminimalisir jiwa dan mental masyarakat Muna yang belum sepenuhnya siap menerima kebudayaan asing yang datang secara tiba-tiba. Dengan tetap mempertahankan nilai-nilai budaya, adat dan istiadatnya yang ada akan menjadi benteng pertahanan dari masuknya budaya-budaya luar.Kata Kunci: Promosi Wisata, Mai Te Wuna, Wisatawan, Kabupaten Muna
Biomechanical Evaluation of Decellularized and Crosslinked Corneal Implants Manufactured From Porcine Corneas as a Treatment Option for Advanced Keratoconus
Authors: Wilson Abby , Jones John , Marshall John 
Published: April 2022

Currently corneal transplantation is the main treatment for late-stage keratoconus; however, transplantation procedures are accompanied by significant risk of post-surgical complications; this in addition to supply limitations imposed by a worldwide shortage of human donor corneas, has driven the development of alternative therapies. One such therapy is the use of corneal implants derived from porcine corneas (Xenia®, Gebauer Medizintechnik GmbH, Neuhausen, DE). In contrast to human donor tissue, these implants can be produced on demand and due to the processes used pose no risks for host-immune rejection. Their use has already been demonstrated clinically in patients for preventing the progression of topographic changes in keratoconus whilst improving visual acuity. The implants are derived from natural tissue and not standardised synthetic material, whilst this likely reduces the risk of issues with bio-incompatibility, there is inevitably variability in their intrinsic mechanical properties which requires investigation. Here, speckle interferometry is employed to examine the biomechanical properties, in response to physiologically representative forces, of native porcine corneal tissue prior to processing and after a proprietary 4-stage process involving decellularization, washing, compression and crosslinking. The control lenticules had an average Young’s modulus (E) of 11.11 MPa (range 8.39–13.41 MPa), following processing average E of the lenticules increased by 127% over that of the unprocessed tissue to 25.23 MPa (range 18.32–32.9 MPa). The variability in E of the lenticules increased significantly after processing suggesting variability in the propensity of the native tissue to processing. In summary, it is possible to produce thin (&lt;90 µm) lenticules from porcine corneas with enhanced stiffness that are effective for treating late-stage keratoconus. Due to the observed variability in the responses of lenticules to processing, interferometry could be a useful technique for ensuring quality control in commercial production via biomechanical screening.
Characterization of D-Allulose-3-Epimerase From Ruminiclostridium papyrosolvens and Immobilization Within Metal-Organic Frameworks
Authors: Yang Jiaming , Fan Dexun , Zhao Fengguang , Lin Ying , Zheng Suiping , Han Shuangyan 
Published: April 2022

D-allulose is one sort of C-3 epimer of D-fructose with the low calorie (0.4 kcal/g) and high sweetness (70% of the relative sweetness of sucrose), which can be biosynthesized by D-allulose-3-epimerase (DAE). In this work, we report the characterization of a novel DAE from Ruminiclostridium papyrosolvens (RpDAE) by genome mining approach. The activity of RpDAE reached maximum at pH 7.5 and 60°C, supplemented with 1 mM Co2+. Using D-fructose (500 g/L) as the substrate for epimerization reaction, RpDAE produced D-allulose (149.5 g/L). In addition, RpDAE was immobilized within the microporous zeolite imidazolate framework, ZIF67, by in situ encapsulation at room temperature. The synthesized bio-composites were characterized by powder X-ray diffraction and Fourier transform infrared spectroscopy. RpDAE-ZIF67 maintained 56% of residual activity after five reaction cycles. This study provides helpful guidance for further engineering applications and industrial production of D-allulose.
Asymmetric Dissociative Tunneling Ionization of Tetrafluoromethane in ω − 2ω Intense Laser Fields
Authors: Hasegawa Hiroka , Walmsley Tiffany , Matsuda Akitaka , Morishita Toru , Madsen Lars Bojer , Jensen Frank , Tolstikhin Oleg I. , Hishikawa Akiyoshi 
Published: April 2022

Dissociative ionization of tetrafluoromethane (CF4) in linearly polarized ω-2ω ultrashort intense laser fields (1.4 × 1014 W/cm2, 800 and 400 nm) has been investigated by three-dimensional momentum ion imaging. The spatial distribution of CF3+ produced by CF4 → CF3+ + F + e− exhibited a clear asymmetry with respect to the laser polarization direction. The degree of the asymmetry varies by the relative phase of the ω and 2ω laser fields, showing that 1) the breaking of the four equivalent C-F bonds can be manipulated by the laser pulse shape and 2) the C-F bond directed along the larger amplitude side of the ω-2ω electric fields tends to be broken. Weak-field asymptotic theory (WFAT) shows that the tunneling ionization from the 4t2 second highest-occupied molecular orbital (HOMO-1) surpasses that from the 1t1 HOMO. This predicts the enhancement of the tunneling ionization with electric fields pointing from F to C, in the direction opposite to that observed for the asymmetric fragment ejection. Possible mechanisms involved in the asymmetric dissociative ionization, such as post-ionization interactions, are discussed.
Changes in Protonation Sites of 3-Styryl Derivatives of 7-(dialkylamino)-aza-coumarin Dyes Induced by Cucurbit[7]uril
Authors: Alcázar Jackson J. , Márquez Edgar , García-Río Luis , Robles-Muñoz Agustín , Fierro Angélica , Santos José G. , Aliaga Margarita E. 
Published: April 2022

The incorporation of a guest, with different basic sites, into an organized system (host), such as macrocycles, could stabilize, detect, or promote the formation of a certain protomer. In this context, this work aimed to study the influence of cucurbit[7]uril (CB7) on dyes such as 7-(dimethylamino)-aza-coumarins, which have more than one basic site along their molecular structure. For this, three 3-styryl derivatives of 7-(dialkylamino)-aza-coumarin dyes (SAC1-3) were synthesized and characterized by NMR, ESI-HRMS and IR. The spectral behaviour of the SACs in the absence and presence of CB7 was studied. The results showed large shifts in the UV-vis spectrum in acid medium: a hypsochromic shift of ≈5400 cm−1 (SAC1-2) and ≈3500 cm−1 (SAC3) in the absence of CB7 and a bathochromic shift of ≈4500 cm−1 (SAC1-3) in the presence of CB7. The new absorptions at long and short wavelengths were assigned to the corresponding protomers by computational calculations at the density functional theory (DFT) level. Additionally, the binding mode was corroborated by molecular dynamics simulations. Findings revealed that in the presence of CB7 the heterocyclic nitrogen was preferably protonated instead of the dialkylamino group. Namely, CB7 induces a change in the protonation preference at the basic sites of the SACs, as consequence of the molecular recognition by the macrocycle.
Performance of Multiparametric Models in Patients With Brugada Syndrome: A Systematic Review and Meta-Analysis
Authors: Wei Hui-ting , Liu Wei , Ma Yue-Rong , Chen Shi 
Published: April 2022

BackgroundMultiparametric models have shown better risk stratification in Brugada syndrome. Recently, these models have been validated in different populations.AimsTo perform a systematic review and meta-analysis of the predictive performance of three validated multiparametric models (Delise model, Sieria model, and Shanghai score).MethodsWe searched PubMed, Embase, MEDLINE, Web of Science, and Ovid for studies validating the risk multiparametric model. A Sieria score &gt; 2 and Shanghai score ≥ 4 were considered to indicate higher risk. Performance estimates were summarized using a random-effects model.ResultsSeven studies were included, with sample sizes of 111–1,613. The follow-up duration was 3.3–10.18 years. The Sieria model had a pooled area under the curve (AUC), sensitivity, and specificity of 0.71 [95% confidence interval (CI): 0.67–0.75], 57% (95% CI: 35–76), and 71% (95% CI: 62–79), respectively. The Shanghai score had an AUC of 0.63–0.71, 68.97–90.67% sensitivity, and 43.53–63.43% specificity. The AUC of the Delise model was 0.77–0.87; however, the optimal cut-off was not identified.ConclusionsThe three models exhibited moderate discriminatory ability for Brugada syndrome. The Sieria model has poor sensitivity and moderate specificity, whereas the Shanghai score has poor specificity and moderate sensitivity.
Systematic Bioinformatics Analysis Based on Public and Second-Generation Sequencing Transcriptome Data: A Study on the Diagnostic Value and Potential Mechanisms of Immune-Related Genes in Acute Myocardial Infarction
Authors: Tan Xiaobing , Dai Qingli , Sun Huang , Jiang Wenqing , Lu Si , Wang Ruxian , Lv Meirong , Sun Xianfeng , Lv Naying , Dai Qingyuan 
Published: April 2022

Acute myocardial infarction (AMI) is one of the most serious cardiovascular diseases worldwide. Advances in genomics have provided new ideas for the development of novel molecular biomarkers of potential clinical value for AMI.MethodsBased on microarray data from a public database, differential analysis and functional enrichment analysis were performed to identify aberrantly expressed genes in AMI and their potential functions. CIBERSORT was used for immune landscape analysis. We also obtained whole blood samples of 3 patients with AMI and performed second-generation sequencing (SGS) analysis. Weighted gene co-expression network analysis (WGCNA) and cross-tabulation analysis identified AMI-related key genes. Receiver operating characteristic (ROC) curves were used to assess the diagnostic power of key genes. Single-gene gene set enrichment analysis (GSEA) revealed the molecular mechanisms of diagnostic indicators.ResultsA total of 53 AMI-related DEGs from a public database were obtained and found to be involved in immune cell activation, immune response regulation, and cardiac developmental processes. CIBERSORT confirmed that the immune microenvironment was altered between AMI and normal samples. A total of 77 hub genes were identified by WGCNA, and 754 DEGs were obtained from own SGS data. Seven diagnostic indicators of AMI were obtained, namely GZMA, NKG7, TBX21, TGFBR3, SMAD7, KLRC4, and KLRD1. The single-gene GSEA suggested that the diagnostic indicators seemed to be closely implicated in cell cycle, immune response, cardiac developmental, and functional regulatory processes.ConclusionThe present study provides new diagnostic indicators for AMI and further confirms the feasibility of the results of genome-wide gene expression analysis.
Development and Validation of a Novel Nomogram to Predict Improved Left Ventricular Ejection Fraction in Patients With Heart Failure After Successful Percutaneous Coronary Intervention for Chronic Total Occlusion
Authors: Yang Lulu , Li Huan , Guo Guangli , Du Jiaqi , Hao Zhengyang , Kong Lingyao , Shi Huiting , Wang Xiaofang , Zhang Yanzhou 
Published: April 2022

BackgroundHeart failure with improved left ventricular ejection fraction (HFiEF) is linked to a good clinical outcome. The purpose of this study was to create an easy-to-use model to predict the occurrence of HFiEF in patients with heart failure (HF), 1 year after successful percutaneous coronary intervention (PCI) for chronic total occlusion (CTO) (CTO PCI).MethodsPatients diagnosed with HF who successfully underwent CTO PCI between January 2016 and August 2019 were included. To mitigate the effect of residual stenosis on left ventricular (LV) function, we excluded patients with severe residual stenosis, as quantitatively measured by a residual synergy between PCI with Taxus and Cardiac Surgery score (rSS) of &gt;8. We gathered demographic data, medical history, angiographic and procedural characteristics, echocardiographic parameters, laboratory results, and medication information. The least absolute shrinkage and selection operator (LASSO) and multivariate logistic regression models were used to identify predictors of HFiEF 1 year after CTO revascularization. A nomogram was established and validated according to the area under the receiver operating characteristic curve (AUC) and calibration curves. Internal validation was performed using bootstrap resampling.ResultsA total of 465 patients were finally included in this study, and 165 (35.5%) patients experienced HFiEF 1 year after successful CTO PCI. According to the LASSO regression and multivariate logistic regression analyses, four variables were selected for the final prediction model: age [odds ratio (OR): 0.969; 95% confidence interval (CI): 0.952–0.988; p = 0.001], previous myocardial infarction (OR: 0.533; 95% CI: 0.357–0.796; p = 0.002), left ventricular end-diastolic dimension (OR: 0.940; 95% CI: 0.910–0.972; p &lt; 0.001), and sodium glucose cotransporter two inhibitors (OR: 5.634; 95% CI: 1.756–18.080; p = 0.004). A nomogram was constructed to present the results. The C-index of the model was 0.666 (95% CI, 0.613–0.719) and 0.656 after validation. The calibration curve demonstrated that the nomogram agreed with the actual observations.ConclusionsWe developed an simple and effective nomogram for predicting the occurrence of HFiEF in patients with HF, 1 year after successful CTO PCI without severe residual stenosis.
Asian Summer Monsoon Changes Inferred From a Stalagmite δ18O Record in Central China During the Last Glacial Period
Authors: Chen Qingmin , Cheng Xing , Cai Yanjun , Luo Qianzhou , Zhang Junliang , Tang Li , Hu Yi , Ren Juangang , Wang Peng , Wang Yan , Zhang Yu , Xue Gang , Zhou Jie , Cheng Hai , Edwards R. Lawrence , Hong Zenglin 
Published: April 2022

The reconstruction of Asian summer monsoon (ASM) changes during the last glacial period is of great significance for better understanding monsoon dynamics. The phase relationship between the Indian summer monsoon (ISM) and East Asian summer monsoon (EASM) subsystems on different timescales is still unclear. The comparative analysis of speleothem records in the ISM region, EASM region, and central China helps to clarify the relationship between the ISM and EASM. Based on the well-dated isotope records of stalagmite DDH-B15 from the Didonghe (DDH) Cave in Hanzhong, Shaanxi, we reconstructed ASM changes during the past 34–13 thousand years before the present (kyr BP). The small average error (61 years) of 18 uranium-series ages enables a precise comparison of the stalagmite δ18O record with other well-dated records from the orbital to the millennial timescales. The δ18O signal of the DDH-B15 stalagmite is controlled by changes of the low latitude northern hemisphere summer insolation (NHSI) on the orbital timescale. It records cold Heinrich Stadial (HS) and Dansgaard–Oeschger (DO) cycles which are originated from the northern high latitude on the millennial time scale. The δ18O changes of stalagmites from the three regions are similar on the millennial and centennial timescales. But on the orbital-suborbital timescale, stalagmite δ18O changes during the last glacial cycle have different characteristics. The stalagmite δ18O values in eastern China became gradually negative, and the stalagmite δ18O values in the Indian monsoon domain showed a increasing trend, but the stalagmite δ18O values in Central China adopted an intermediate state between the EASM and ISM. Then we argued that the δ18O value of stalagmites in Central China is a mixed signal of the ISM and EASM, which indicates a change of the water vapor source as an important influence on the Chinese stalagmite δ18O record.
Identification and Validation of a Prognostic Prediction Model in Diffuse Large B-Cell Lymphoma
Authors: Yan Jiaqin , Yuan Wei , Zhang Junhui , Li Ling , Zhang Lei , Zhang Xudong , Zhang Mingzhi 
Published: April 2022

BackgroundDiffuse large B-cell lymphoma (DLBCL) is a heterogeneous group with varied pathophysiological, genetic, and clinical features, accounting for approximately one-third of all lymphoma cases worldwide. Notwithstanding that unprecedented scientific progress has been achieved over the years, the survival of DLBCL patients remains low, emphasizing the need to develop novel prognostic biomarkers for early risk stratification and treatment optimization.MethodIn this study, we screened genes related to the overall survival (OS) of DLBCL patients in datasets GSE117556, GSE10846, and GSE31312 using univariate Cox analysis. Survival-related genes among the three datasets were screened according to the criteria: hazard ratio (HR) &gt;1 or &lt;1 and p-value &lt;0.01. Least Absolute Shrinkage and Selection Operator (LASSO) and multivariate Cox regression analysis were used to optimize and establish the final gene risk prediction model. The TCGA-NCICCR datasets and our clinical cohort were used to validate the performance of the prediction model. CIBERSORT and ssGSEA algorithms were used to estimate immune scores in the high- and low-risk groups.ResultsWe constructed an eight-gene prognostic signature that could reliably predict the clinical outcome in training, testing, and validation cohorts. Our prognostic signature also performed distinguished areas under the ROC curve in each dataset, respectively. After stratification based on clinical characteristics such as cell-of-origin (COO), age, eastern cooperative oncology group (ECOG) performance status, international prognostic index (IPI), stage, and MYC/BCL2 expression, the difference in OS between the high- and low-risk groups was statistically significant. Next, univariate and multivariate analyses revealed that the risk score model had a significant prediction value. Finally, a nomogram was established to visualize the prediction model. Of note, we found that the low-risk group was enriched with immune cells.ConclusionIn summary, we identified an eight-gene prognostic prediction model that can effectively predict survival outcomes of patients with DLBCL and built a nomogram to visualize the perdition model. We also explored immune alterations between high- and low-risk groups.