bluuebunny/crossref_metadata_2025_split huggingface dataset:
PERKEMBANGAN PARIWISATA HALAL DAN PENGARUHNYA TERHADAP PERTUMBUHAN EKONOMI INDONESIA
Authors: Rahmi Asri Noer 
Published: August 2021

This study aims to know the development of halal tourism in Indonesia and how it affects the economic growth in Indonesia. Halal travel destinations are tourist attractions that provide Muslim friendly facilities from serving food, supporting environments such as halal hotel facilities, places of prayer, and non-halal products for sale in halal tourism areas. In the Qur'an, Allah S.W.T writes, go to historical places and take lessons from your journey. This study uses qualitative methods with data obtained from the results of the Central Statistics Agency (BPS), GMTI, and the World Halal Travel and Tourism Index. The results obtained in this study found that halal tourism shows positive results and positive responses from domestic and foreign tourists, this can be seen from the data obtained by increasing GDP and top 10 halal tourism in OIC countries and many foreign tourists coming and enjoy halal tourist attractions that already exist in Indonesia. This can encourage the central government to immediately make halal tourism legislation in Indonesia, so that the halal tourism sector in Indonesia can be promoted and famous in the world Penelitian ini bertujuan untuk melihat perkembangan pariwisata halal di Indonesia dan bagaimana pengaruhnya terhadap pertumbuhan ekonomi di Indonesia. Destinasi wisata halal adalah tempat wisata yang menyediakan fasilitas Musmil friendly dari penyajian makanan, lingkunan yang mendukung seperti fasilitas hotel halal, tempat ibadah, dan juga tidak ada produk-produk non halal yang dijual didaerah wisata halal. Didalam Al-Qurán Allah S.W.T menuliskan berpergianlah kalian ke tempat-tempat bersejarah dan ambilah pelajaran dari perjalanan yang kalian lakukan. Penelitian ini menggunakan metode kualitatif dengan data yang diperoleh dari hasil Badan Pusat Statistik (BPS), GMTI, dan World Halal Travel and Tourism Index. Hasil yang diperoleh pada penelitian ini adalah bahwa pariwisata halal menunjukkan hasil yang positif dan respon yang baik dari wistawan domestik maupun mancanegara, hal ini dapat dilihat dari data yang diperoleh dengan peningkatan GDP dan top 10 pariwisata hala di negara OIC dan banyak wisatawan mancanegara yang datang dan menikmati tempat wisata halal yang sudah ada di Indonesia. Hal ini dapat mendorong Pemerintah pusat untuk segera membuat perundang-undangan pariwisata halal di Indonesia, agar sector pariwisata halal di Indonesia dapat dipromosikan dan dapat dikenal di Dunia.
PERANCANGAN SISTEM INFORMASI PENJUALAN ALAT KESEHATAN DAN KEDOKTERAN BERBASIS WEB PADA PT. SINAR BULAN PURNAMA MEDICAL MAKASSAR
Authors: Fatimah Sitti , Tabrani Achmad 
Published: August 2021

PT Sinar Bulan Purnama Medical merupakan suatu perusahaan yang bergerak dalam bidang penjualan alat-alat kesehatan dan kedokteran yang berlokasi di Kota Makassar Propinsi Sulawesi Selatan tepatnya di Jl. Adhyaksa Baru no. 12 G. Produk yang di jual adalah alat-alat kesehatan dan kedokteran untuk keperluan pribadi maupun untuk keperluan umum seperti pada rumah sakit, klinik, dan instansi-instansi pendidikan yang berkaitan dengan kesehatan. Dalam pelaksanaan proses penjualan dan pemasarannya masih bersifat konvensianal, yaitu proses jual belinya masih harus dilakukan dengan datang dan melihat langsung produk yang ingin di beli konsumen. Proses memasarkannya pun masih dengan menggunakan selebaran dan info iklan pada radio dan beberapa media cetak lokal. Oleh karena itu, kami mencoba untuk membuat suatu rancangan program penjualan yang terkomputerisasi. Lebih menarik dan mengglobal dari segi pemasaran serta mudah untuk diaplikasikan dan digunakan dalam mengolah dan menghasilkan informasi yang efektif dan efisien tentang jual beli alat-alat kesehatan dan kedokteran.
Optimization of Specific Productivity for Xylonic Acid Production by Gluconobacter oxydans Using Response Surface Methodology
Authors: He Tao , Xu Chaozhong , Ding Chenrong , Liu Xu , Gu Xiaoli 
Published: August 2021

Large amounts of xylose cannot be efficiently metabolized and fermented due to strain limitations in lignocellulosic biorefinery. The conversion of xylose into high value chemicals can help to reduce the cost of commercialization. Therefore, xylonic acid with potential value in the construction industry offers a valuable alternative for xylose biorefinery. However, low productivity is the main challenge for xylonic acid fermentation. This study investigated the effect of three reaction parameters (agitation, aeration, and biomass concentration) on xylose acid production and optimized the key process parameters using response surface methodology The second order polynomial model was able to fit the experimental data by using multiple regression analysis. The maximum specific productivity was achieved with a value of 6.64 ± 0.20 g gx−1 h−1 at the optimal process parameters (agitation speed 728 rpm, aeration rate 7 L min−1, and biomass concentration 1.11 g L−1). These results may help to improve the production efficiency during xylose acid biotransformation from xylose.
5-Year Clinical Outcomes of Successful Recanalisation for Coronary Chronic Total Occlusions in Patients With or Without Type 2 Diabetes Mellitus
Authors: Wang Peizhi , Yuan Deshan , Jia Sida , Zhu Pei , Zhang Ce , Liu Yue , Li Tianyu , Jiang Lin , Song Ying , Xu Jingjing , Tang Xiaofang , Zhao Xueyan , Xu Bo , Yang Yuejin , Yuan Jinqing , Gao Runlin 
Published: August 2021

Background: Despite substantial improvement in chronic total occlusions (CTO) revascularization technique, the long-term clinical outcomes in diabetic patients with revascularized CTO remain controversial. Our study aimed to investigate the 5-year cardiovascular survival for patients with or without type 2 diabetes mellitus (DM) who underwent successful percutaneous coronary intervention (PCI) for CTO.Methods: Data of the current analysis derived from a large single-center, prospective and observational cohort study, including 10,724 patients who underwent PCI in 2013 at Fuwai Hospital. Baseline, angiographic and follow-up data were collected. The primary endpoint was major adverse cardiac and cerebrovascular events (MACCE), which consisted of death, recurrent myocardial infarction (MI), stroke and target vessel revascularization (TVR). The secondary endpoint was all-cause mortality. Cox regression analysis and propensity-score matching was performed to balance the baseline confounders.Results: A total of 719 consecutive patients with ≥1 successful CTO-PCI were stratified into diabetic (n = 316, 43.9%) and non-diabetic (n = 403, 56.1%) group. During a median follow-up of 5 years, the risk of MACCE (adjusted hazard ratio [HR] 1.47, 95% confidence interval [CI] 1.08–2.00, P = 0.013) was significantly higher in the diabetic group than in the non-diabetic group, whereas the adjusted risk of all-cause mortality (HR 2.37, 95% CI 0.94–5.98, P = 0.068) was similar. In the propensity score matched population, there were no significant differences in the risk of MACCE (HR 1.27, 95% CI 0.92–1.75, P = 0.155) and all-cause mortality (HR 2.56, 95% CI 0.91–7.24, P = 0.076) between groups. Subgroup analysis and stratification analysis revealed consistent effects on 5-year MACCE across various subgroups.Conclusions: In patients who received successful CTO-PCI, non-diabetic patients were related to better long-term survival benefit in terms of MACCE. The risk of 5-year MACCE appeared to be similar in less-controlled and controlled diabetic patients after successful recanalization of CTO. Further randomized studies are warranted to confirm these findings.
Estimates of Type 2 Diabetes Mellitus Burden Attributable to Particulate Matter Pollution and Its 30-Year Change Patterns: A Systematic Analysis of Data From the Global Burden of Disease Study 2019
Authors: Wu Ying , Fu Rongguo , Lei Chen , Deng Yujiao , Lou Weiyang , Wang Li , Zheng Yi , Deng Xinyue , Yang Si , Wang Meng , Zhai Zhen , Zhu Yuyao , Xiang Dong , Hu Jingjing , Dai Zhijun , Gao Jie 
Published: August 2021

BackgroundEpidemiological trends of type 2 diabetes mellitus attributable to fine particulate matter (PM2.5) pollution remain unclear. Here, we estimated spatiotemporal trends of type 2 diabetes mellitus burden attributable to PM2.5 pollution, including ambient particulate matter pollution (APMP) and household air pollution (HAP), from 1990–2019.MethodsData were obtained from the Global Burden of Disease Study 2019 and were analyzed by age, sex, year, and location. Joinpoint regression analysis was applied in the analysis of temporal trends in type 2 diabetes mellitus burden over the 30 years.ResultsGlobally, PM2.5 pollution contributed to 292.5 thousand deaths and 13 million disability-adjusted life-years (DALYs) in 2019. APMP ranked third among all risk factors, causing an increase in type 2 diabetes mellitus burden from 1990, whereas the impact of HAP significantly fell during the same period. Both APMP and HAP contributed the most to deaths and DALYs of type 2 diabetes mellitus among older people. However, the age-standardized death and DALY rates of type 2 diabetes mellitus attributable to APMP were greater among males and people in the middle socio-demographic index countries, especially in Southern Sub-Saharan Africa. For HAP, type 2 diabetes mellitus burden was modestly higher in females and was highest in Oceania, which was the only region with an increase from 1990.ConclusionsPM2.5 pollution resulted in substantial and increasing type 2 diabetes mellitus burden worldwide. Hence, governments and health systems should take steps to reduce air pollution to mitigate this increasing burden.
Growth Differentiation Factor 15 Is Associated With Alzheimer’s Disease Risk
Authors: Wu Peng-Fei , Zhang Xing-Hao , Zhou Ping , Yin Rui , Zhou Xiao-Ting , Zhang Wan 
Published: August 2021

BackgroundPrevious observational studies have suggested that associations exist between growth differentiation factor 15 (GDF-15) and neurodegenerative diseases. We aimed to investigate the causal relationships between GDF-15 and Alzheimer’s disease (AD), Parkinson’s disease (PD), and amyotrophic lateral sclerosis (ALS).MethodsUsing summary-level datasets from genome-wide association studies of European ancestry, we performed a two-sample Mendelian randomization (MR) study. Genetic variants significantly associated (p &lt; 5 × 10–8) with GDF-15 were selected as instrumental variables (n = 5). An inverse-variance weighted method was implemented as the primary MR approach, while weighted median, MR–Egger, leave-one-out analysis, and Cochran’s Q-test were conducted as sensitivity analyses. All analyses were performed using R 3.6.1 with relevant packages.ResultsMR provided evidence for the association of elevated GDF-15 levels with a higher risk of AD (odds ratio = 1.14; 95% confidence interval, 1.04–1.24; p = 0.004). In the reverse direction, Mendelian randomization suggested no causal effect of genetically proxied risk of AD on circulating GDF-15 (p = 0.450). The causal effects of GDF-15 on PD (p = 0.597) or ALS (p = 0.120) were not identified, and the MR results likewise did not support the association of genetic liability to PD or ALS with genetically predicted levels of GDF-15. No evident heterogeneity or horizontal pleiotropy was revealed by multiple sensitivity analyses.ConclusionWe highlighted the role of GDF-15 in AD as altogether a promising diagnostic marker and a therapeutic target.
Quality of Care in Family Planning Services: Differences Between Formal and Informal Settlements of Kira Municipality, Uganda
Authors: Lukyamuzi Zubair , Tetui Moses , Fonseca-Rodríguez Osvaldo , Atuyambe Lynn , Makumbi Fredrick Edward , Baroudi Mazen 
Published: August 2021

Background: Quality of care (QoC) of family planning (FP) affects contraceptive use, and it varies across types of urban settlement. This study assesses the difference in service delivery point (SDP) structural and process factors between formal and informal urban settlements, and the opinion of the client on the QoC in informal settlements. This is useful in creating an evidence base to advocate for better quality services for the most vulnerable in society.Methods: This was a cross-sectional survey that included SDPs of Kira municipality in Wakiso district, Uganda. Data were collected from all the service points in Kira municipality with the caretakers consented. In addition, using multi-stage sampling, 626 women of reproductive age (15–49 years) who lived in the informal settlements of Kira municipality were interviewed. Data were collected using structured questionnaires, descriptive analysis was carried out in Stata version 14.0, and Chi-square and t-tests were used to compare the informal with the formal settlements.Results: Formal settlements generally had more higher-level SDPs compared to informal settlements (value of p &lt; 0.001). SDPs in the formal settlements provided more FP methods and had more community health workers (CHW) to support their work. Also, SDPs in the formal settlements were more likely to have long-term FP methods available and more likely to have trained personnel to insert and remove implants and IUDs compared to those in informal settlements. Additionally, more SDPs in the formal settlements provided counseling for permanent, long-term, and short-term FP methods. Of the 626 interviewed women, most of the women (68.6%) reported that they would not return to the previous FP provider or refer a friend to the same provider (72.7%).Conclusions: There is a lower quality FP services in the informal settlements with a commensurable effect on the client satisfaction with the services. Therefore, improving the quality of FP services in informal settlements should be a top priority. Improved quality of services could act as a motivation to increase the uptake of modern contraceptives in such settings.
Clinical Application of Metagenomic Next-Generation Sequencing for Suspected Infections in Patients With Primary Immunodeficiency Disease
Authors: Tang Wenjing , Zhang Yu , Luo Chong , Zhou Lina , Zhang Zhiyong , Tang Xuemei , Zhao Xiaodong , An Yunfei 
Published: August 2021

BackgroundInfections are the major cause of morbidity and mortality in patients with primary immunodeficiency disease (PID). Timely and accurate microbiological diagnosis is particularly important in these patients. Metagenomic next-generation sequencing (mNGS) has been used for pathogen detection recently. However, few reports describe the use of mNGS for pathogen identification in patients with PID.ObjectiveTo evaluate the utility of mNGS for detecting pathogens in patients with PID, and to compare it with conventional microbiological tests (CMT).MethodsThis single center retrospective study investigated the diagnostic performance of mNGS for pathogens detection in PID patients and compared it with CMT. Sixteen PID patients with suspected infection were enrolled, and medical records were analyzed to extract detailed clinical characteristics such as gene variation, immune status, microbial distribution, time-consuming of mNGS and CMT, treatment, and outcomes.ResultsmNGS identified pathogenic microbe in 93.75% samples, compared to 31.25% for culture and 68.75% for conventional methods, and detected an extra 18 pathogenic microorganisms including rare opportunistic pathogens and Mycobacterium tuberculosis. Pathogen identification by mNGS required 48 hours, compared with bacterial culture for 3-7 days and even longer for fungus and Mycobacterium tuberculosis culture.ConclusionsmNGS has marked advantages over conventional methods for pathogenic diagnosis, particularly opportunistic pathogens and mixed infections, in patients with PID. This method might enable clinicians to make more timely and targeted therapeutic decisions, thereby improving the prognosis of these patients.
A Robust Hypoxia Risk Score Predicts the Clinical Outcomes and Tumor Microenvironment Immune Characters in Bladder Cancer
Authors: Liu Zhi , Tang Qiao , Qi Tiezheng , Othmane Belaydi , Yang Zhe , Chen Jinbo , Hu Jiao , Zu Xiongbing 
Published: August 2021

BackgroundBladder cancer (BLCA) is one of the most common urinary malignancies with poor prognosis. There is an unmet need to develop novel robust tools to predict prognosis and treatment efficacy for BLCA.MethodsThe hypoxia-related genes were collected from the Molecular Signatures Database. The TCGA-BLCA cohort was downloaded from the Cancer Genome Atlas and then was randomly divided into training and internal validation sets. Two external validation cohorts were gathered from Gene Expression Omnibus. Also, another independent validation cohort (Xiangya cohort) was collected from our hospital. The Cox regression model with the LASSO algorithm was applied to develop the hypoxia risk score. Then, we correlated the hypoxia risk score with the clinical outcomes, the tumor microenvironment (TME) immune characteristics, and the efficacy prediction for several treatments, which included cancer immunotherapy, chemotherapy, radiotherapy, and targeted therapies.ResultsHypoxia risk score was an independent prognostic factor. A high-risk score indicated an inflamed TME based on the evidence that hypoxia risk score positively correlated with the activities of several cancer immunity cycles and the infiltration levels of many tumor-infiltrating immune cells, such as CD8 + T cells, Dendritic cells, and NK cells. Consistently, the hypoxia risk score was positively related to the expression of several immune checkpoints, such as PD-L1, PD-1, CTLA-4, and LAG-3, as well as the T cell inflamed score. Furthermore, the hypoxia risk score positively correlated with the enrichment scores of most immunotherapy-positive gene signatures. Therefore, patients with higher risk score may be more sensitive to cancer immunotherapy. Meanwhile, the hypoxia risk score was positively related to the sensitivities of several chemotherapeutic drugs, including Cisplatin, Docetaxel, Paclitaxel, Bleomycin, Camptothecin, and Vinblastine. Similarly, the enrichment scores for radiotherapy-predicted pathways and EGFR ligands were higher in the high-risk score group. Conversely, the enrichment scores of several immunosuppressive oncogenic pathways were significantly higher in the low-risk score group, such as the WNT-β-catenin network, PPARG network, and FGFR3 network.ConclusionsWe developed and validated a new hypoxia risk score, which could predict the clinical outcomes and the TME immune characteristics of BLCA. In general, the hypoxia risk score may aid in the precision medicine for BLCA.
Identifying Immune Cell Infiltration and Effective Diagnostic Biomarkers in Rheumatoid Arthritis by Bioinformatics Analysis
Authors: Zhou Sheng , Lu Hongcheng , Xiong Min 
Published: August 2021

BackgroundRheumatoid arthritis (RA) is a chronic systemic autoimmune disorder characterized by inflammatory cell infiltration, leading to persistent synovitis and joint destruction. The pathogenesis of RA remains unclear. This study aims to explore the immune molecular mechanism of RA through bioinformatics analysis.MethodsFive microarray datasets and a high throughput sequencing dataset were downloaded. CIBERSORT algorithm was performed to evaluate immune cell infiltration in synovial tissues between RA and healthy control (HC). Wilcoxon test and Least Absolute Shrinkage and Selection Operator (LASSO) regression were conducted to identify the significantly different infiltrates of immune cells. Differentially expressed genes (DEGs) were screened by “Batch correction” and “RobustRankAggreg” methods. Functional correlation of DEGs were analyzed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG). Candidate biomarkers were identified by cytoHubba of Cytoscape, and their diagnostic effectiveness was predicted by Receiver Operator Characteristic Curve (ROC) analysis. The association of the identified biomarkers with infiltrating immune cells was explored using Spearman’s rank correlation analysis in R software.ResultsTen significantly different types of immune cells between RA and HC were identified. A total of 202 DEGs were obtained by intersection of DEGs screened by two methods. The function of DEGs were significantly associated with immune cells. Five hub genes (CXCR4, CCL5, CD8A, CD247, and GZMA) were screened by R package “UpSet”. CCL5+CXCR4 and GZMA+CD8A were verified to have the capability to diagnose RA and early RA with the most excellent specificity and sensitivity, respectively. The correlation between immune cells and biomarkers showed that CCL5 was positively correlated with M1 macrophages, CXCR4 was positively correlated with memory activated CD4+ T cells and follicular helper T (Tfh) cells, and GZMA was positively correlated with Tfh cells.ConclusionsCCL5, CXCR4, GZMA, and CD8A can be used as diagnostic biomarker for RA. GZMA-Tfh cells, CCL5-M1 macrophages, and CXCR4- memory activated CD4+ T cells/Tfh cells may participate in the occurrence and development of RA, especially GZMA-Tfh cells for the early pathogenesis of RA.
How to Reduce the Transmission Risk of COVID-19 More Effectively in New York City: An Age-Structured Model Study
Authors: Li Miaolei , Zu Jian , Li Zongfang , Shen Mingwang , Li Yan , Ji Fanpu 
Published: August 2021

Background: In face of the continuing worldwide COVID-19 epidemic, how to reduce the transmission risk of COVID-19 more effectively is still a major public health challenge that needs to be addressed urgently.Objective: This study aimed to develop an age-structured compartment model to evaluate the impact of all diagnosed and all hospitalized on the epidemic trend of COVID-19, and explore innovative and effective releasing strategies for different age groups to prevent the second wave of COVID-19.Methods: Based on three types of COVID-19 data in New York City (NYC), we calibrated the model and estimated the unknown parameters using the Markov Chain Monte Carlo (MCMC) method.Results: Compared with the current practice in NYC, we estimated that if all infected people were diagnosed from March 26, April 5 to April 15, 2020, respectively, then the number of new infections on April 22 was reduced by 98.02, 93.88, and 74.08%. If all confirmed cases were hospitalized from March 26, April 5, and April 15, 2020, respectively, then as of June 7, 2020, the total number of deaths in NYC was reduced by 67.24, 63.43, and 51.79%. When only the 0–17 age group in NYC was released from June 8, if the contact rate in this age group remained below 61% of the pre-pandemic level, then a second wave of COVID-19 could be prevented in NYC. When both the 0–17 and 18–44 age groups in NYC were released from June 8, if the contact rates in these two age groups maintained below 36% of the pre-pandemic level, then a second wave of COVID-19 could be prevented in NYC.Conclusions: If all infected people were diagnosed in time, the daily number of new infections could be significantly reduced in NYC. If all confirmed cases were hospitalized in time, the total number of deaths could be significantly reduced in NYC. Keeping a social distance and relaxing lockdown restrictions for people between the ages of 0 and 44 could not lead to a second wave of COVID-19 in NYC.