bluuebunny/crossref_metadata_2025_split huggingface dataset:
Perancangan Mobile Game sebagai Media Literasi Keuangan untuk Remaja
Authors: Rafif Muhammad Fajar , Patria Asidigisianti Surya 
Published: October 2021

AbstrakHampir segala aktivitas manusia dipermudah dan dipercepat dengan smartphone, yang tanpa kita sadari telah mengubah perilaku masyarakat dalam berbelanja. Kemudahan transaksi digital telah membuat penggunaan aplikasi belanja daring meningkat. Sayangnya, hal ini masih belum diimbangi dengan pengetahuan dalam mengelola keuangan. Perlu adanya perancangan media untuk mengedukasi masyarakat mengenai pentingnya literasi keuangan. Tujuan dari perancangan ini adalah merancang mobile game untuk menyampaikan pembelajaran tentang keuangan kepada remaja secara efektif untuk menambah dan meningkatkan kesadaran mereka tentang pentingnya manajemen keuangan. Metode Perancangan terdiri dari tahap pengumpulan dan analisis data menggunakan model Miles & Huberman, tahap perancangan konsep, tahap perancangan GDD (Game Design Document), tahap perancangan aset visual, tahap perancangan purwarupa, tahap uji coba dan validasi kelayakan media. Berdasarkan hasil ujicoba dan validasi ahli materi menunjukkan bahawa mobile game ini dikatakan layak. Kata Kunci: game edukasi, literasi keuangan, mobile game, remaja AbstractAlmost all human activities are facilitated and accelerated with the help of smartphones, without us knowing has changed people's shopping behavior. The flexibility of digital transactions has increased the use of shopping applications. Unfortunately, this has not been equal to the knowledge of financial management. A media design is needed to educate the public about the importance of financial literacy. The purpose of this research is to design a mobile game that can convey financial knowledge to teenagers and effectively enhance as well as increase their awareness about the importance of financial management. The design method consists of data collection & analysis using the Miles & Huberman Model, the concept design stage, the GDD (Game Design Document) design stage, the visual asset design stage, the prototyping stage, the testing, and the validation phase. From the testing and the validation phase, the results of the media expert's test got a value of 4.87 (very feasible), the results of the material expert's test got 4.5 (very feasible), and the test results against the intended end-user get a value of 4.68 (very feasible). Keywords: education game, financial literacy, mobile game, teenager
Keterlibatan Ilustrasi dan Warna sebagai Stimulus Visual dalam Konsep ‘Interaksi Ruang Belajar’ pada Sekolah Dasar Kelas 1–3 Di Bali
Authors: Julianto I Nyoman Larry , Artawan Cokorda Alit 
Published: October 2021

AbstrakPenelitian ini dilatarbelakangi adanya kebutuhan ruang belajar yang dapat berperan sebagai medium interaksi bagi anak usia Sekolah Dasar Kelas 1–3 di Bali. Adapun permasalahannya adalah kebutuhan sebuah konsep interaksi ruang belajar yang memberikan stimulasi visual dalam mendukung proses pembelajaran. Tujuan penelitian adalah menciptakan konsep interaksi ruang yang menghasilkan respon dari sebuah stimulus visual yang memiliki tahapan organisme (perhatian, pengertian, dan penerimaan) serta dapat mendukung capaian pembelajaran. Analisis kualitatif dengan metode prosedural dalam penelitian ini diawali dengan tahap pengumpulan data mengenai warna dan ilustrasi yang mampu memberikan efek rangsang visual bagi anak. Hasil analisis kemudian menjadi landasan berpikir dalam menciptakan sebuah konsep interaksi ruang belajar. Hasil penelitian menyatakan bahwa konsep interaksi ruang belajar harus memiliki nilai interaksi. Nilai tersebut dihasilkan melalui penerapan konsep interaksi ruang belajar yang bersifat tematik. Prinsip tematik mengacu pada upaya untuk meningkatkan motivasi serta menumbuhkan minat belajar anak dalam pencapaian tujuan pembelajarannya. Kata Kunci: anak sekolah dasar, Bali, interaksi, ruang tematik AbstractThis research was motivated by the need for a learning space that can act as an interaction medium for elementary school-aged children in grades 1-3 in Bali. The problem is the need for a concept of learning space interaction that provides visual stimulation in supporting the learning process. The research objective is to create a spatial interaction concept that produces a response from a visual stimulus that has an organism stage and can support learning outcomes. In this research, qualitative analysis with procedural methods began with collecting data about colors and illustrations that can provide visual stimulation effects for children. The results of the analysis became the basis of thinking in creating a concept of learning space interaction. The outcome of the research stated that the concept of learning space interaction must have interaction value. This value emerges through the application of the thematic learning space interaction concept. Thematic principles refer to efforts to increase motivation and foster children's interest in learning in achieving their learning goals. Keywords: Bali, interaction, primary school children, thematic space
Increased Uric Acid, Gamma-Glutamyl Transpeptidase and Alkaline Phosphatase in Early-Pregnancy Associated With the Development of Gestational Hypertension and Preeclampsia
Authors: Chen Yequn , Ou Weichao , Lin Dong , Lin Mengyue , Huang Xiru , Ni Shuhua , Chen Shaoxing , Yong Jian , O'Gara Mary Clare , Tan Xuerui , Liu Ruisheng 
Published: October 2021

Background: Previous studies have reported that biomarkers of liver injury and renal dysfunction were associated with hypertensive disorders of pregnancy (HDP). However, the associations of these biomarkers in early pregnancy with the risk of HDP and longitudinal blood pressure pattern during pregnancy were rarely investigated in prospective cohort studies.Methods: A total of 1,041 pregnant women were enrolled in this prospective cohort study. BP was assessed in four stages throughout pregnancy. The following biomarkers were measured at early pregnancy before 18 weeks gestation: lactate dehydrogenase (LDH), aspartate aminotransferase to alanine aminotransferase ratio (AST/ALT), gamma-glutamyl transpeptidase (GGT), alkaline phosphatase (ALP), uric acid (UA), and estimated glomerular filtration rate (eGFR). Linear mixed-effects and logistic regression models were used to examine the associations of these biomarkers with longitudinal BP pattern during pregnancy and HDP incidence, respectively.Results: In unadjusted models, higher serum UA, GGT, ALP, and LDH levels, as well as lower eGFR and AST/ALT, were associated with higher BP levels during pregnancy and an increased risk of HDP. After adjustment for maternal age, pre-pregnancy BMI and other potential confounders, UA, GGT, ALP, and LDH remained positively associated with both BP and HDP. However, eGFR and AST/ALT were not associated with HDP after adjusting for potential confounders. When including all 6 biomarkers simultaneously in multivariable analyses, increased UA, GGT, and ALP significantly associated with gestational hypertension and preeclampsia.Conclusion: This study suggests that increased UA, GGT, and ALP in early-pregnancy are independent risk factors of gestational hypertension and preeclampsia.
Longer Prehospitalization and Preintubation Periods in Intubated Non-survivors and ECMO Patients With COVID-19: A Systematic Review and Meta-Analysis
Authors: Funakoshi Kenji , Morita Takayoshi , Kumanogoh Atsushi 
Published: October 2021

Purpose: There is no clear consensus on the clinical course of critical COVID-19 patients. We examined the clinical course among intubated survivors, non-survivors, and extracorporeal membrane oxygenation (ECMO) patients to reveal the standard clinical course and the difference among critical COVID-19 patients.Methods: In this systematic review and meta-analysis, we searched PubMed, Web of Science, and Scopus for original studies published until December 11, 2020, including case accumulation and clinical course reporting. Pregnant patients and children were excluded. We followed PRISMA guidelines and registered them with PROSPERO (CRD42021235534).Results: Of the 11,716 studies identified, 94 met the selection criteria, and 2,549 cases were included in this meta-analysis. The times from intubation to extubation and death were 12.07 days (95% confidence interval 9.80–14.33 days) and 10.14 days (8.18–12.10 days), respectively, and the ECMO duration was 14.72 days (10.57–18.87 days). The time from symptom onset to hospitalization (prehospitalization period) of intubated survivors, non-survivors, and ECMO patients was 6.15 (4.61–7.69 days), 6.45 (4.55–8.34 days), and 7.15 days (6.48–7.81 days), and that from symptom onset to intubation (preintubation period) was 8.58 (7.36–9.80 days), 9.14 (7.26–11.01 days), and 10.54 days (9.18–11.90 days), respectively. Sensitivity analysis showed that the time from intubation to extubation and death was longer in the US and Europe than in East Asia.Conclusion: For COVID-19, we hypothesize that prehospitalization and preintubation periods are longer in intubated non-survivors and ECMO patients than in intubated survivors. These periods may serve as a predictor of disease severity or death and support therapeutic strategy determination.
In-hospital Cardiac Arrest in Patients With Sepsis: A National Cohort Study
Authors: Duazo Catherine , Hsiung Jo-Ching , Qian Frank , Sherrod Charles Fox , Ling Dean-An , Wu I-Ju , Hsu Wan-Ting , Liu Ye , Wei Chen , Tehrani Babak , Hsu Tzu-Chun , Lee Chien-Chang 
Published: October 2021

Background: Little is known about the risk of in-hospital cardiac arrest (IHCA) among patients with sepsis. We aimed to characterize the incidence and outcome of IHCA among patients with sepsis in a national database. We then determined the major risk factors associated with IHCA among sepsis patients.Methods: We used data from a population-based cohort study based on the National Health Insurance Research Database of Taiwan (NHRID) between 2000 and 2013. We used Martin's implementation that combined the explicit ICD-9 CM codes for sepsis and six major organ dysfunction categories. IHCA among sepsis patients was identified by the presence of cardiopulmonary resuscitation procedures. The survival impact was analyzed with the Cox proportional-hazards model using inverse probability of treatment weighting (IPTW). The risk factors were identified by logistic regression models with 10-fold cross-validation, adjusting for competing risks.Results: We identified a total of 20,022 patients with sepsis, among whom 2,168 developed in-hospital cardiac arrest. Sepsis patients with a higher burden of comorbidities and organ dysfunction were more likely to develop in-hospital cardiac arrest. Acute respiratory failure, hematological dysfunction, renal dysfunction, and hepatic dysfunction were associated with increased risk of IHCA. Regarding the source of infection, patients with respiratory tract infections were at the highest risk, whereas patients with urinary tract infections and primary bacteremia were less likely to develop IHCA. The risk of IHCA correlated well with age and revised cardiac risk index (RCRI). The final competing risk model concluded that acute respiratory failure, male gender, and diabetes are the three strongest predictors for IHCA. The effect of IHCA on survival can last 1 year after hospital discharge, with an IPTW-weighted hazard ratio of 5.19 (95% CI: 5.06, 5.35) compared to patients who did not develop IHCA.Conclusion: IHCA in sepsis patients had a negative effect on both short- and long-term survival. The risk of IHCA among hospitalized sepsis patients was strongly correlated with age and cardiac risk index. The three identified risk factors can help clinicians to identify patients at higher risk for IHCA.
Elevated NLRP3 Inflammasome Levels Correlate With Vitamin D in the Vitreous of Proliferative Diabetic Retinopathy
Authors: Lu Li , Zou Gaocheng , Chen Li , Lu Qianyi , Wu Mian , Li Chunxia 
Published: October 2021

Purpose: This study aims to determine vitamin D concentrations in the vitreous and serum, as well as the expression levels of NLRP3 inflammasome pathway in the vitreous of patients with proliferative diabetic retinopathy (PDR). In addition, we investigated the possible correlation between NLRP3 inflammasome levels and vitamin D concentrations.Methods: We obtained vitreous samples before vitrectomy from 55 PDR patients, 25 non-diabetic patients with idiopathic macular hole (IMH), and 10 non-proliferative diabetic retinopathy (NPDR) patients. We also collected serum samples from the same patients. Enzyme-linked immunosorbent assay (ELISA) was used to examine NLRP3 inflammasome pathway proteins, including NLRP3, caspase-1, IL-1β, and VEGF. In addition, vitamin D concentrations were analyzed in Roche Cobas 6000's module e601 platform using electrochemiluminescence immune assay.Results: The levels of NLRP3 inflammasome pathway and VEGF increased dramatically in PDR vitreous. However, vitamin D concentrations in vitreous and serum followed the opposite trend. Meanwhile, vitreous and serum vitamin D concentrations were significantly negatively correlated with vitreous NLRP3 expression in PDR patients. Moreover, serum and vitreous vitamin D concentrations were positively correlated and demonstrated discriminatory ability in DR. The subgroup analysis of PDR group revealed that eyes with tractional retinal detachment (TRD) had higher NLRP3 inflammasome pathway and VEGF levels but lower vitamin D concentrations. Conversely, eyes that received preoperative pan-retinal photocoagulation (PRP) exhibited lower levels of NLRP3 inflammasome pathway, but vitamin D concentrations were irrelevant to laser treatment.Conclusions: Our results demonstrate a strong correlation between increased NLRP3 inflammasome pathway and decreased vitamin D concentrations in the vitreous of PDR patients, which may be linked to PDR pathogenesis. In addition, vitamin D supplementation may play a key role in preventing, treating, and improving PDR prognosis due to its inhibitory impact on NLRP3 inflammasome pathway and VEGF.
Prediction of Hematoma Expansion in Patients With Intracerebral Hemorrhage Using Thromboelastography With Platelet Mapping: A Prospective Observational Study
Authors: He Qiuguang , Zhou You , Liu Chang , Chen Zhongqiu , Wen Rong , Wu Yue , Xie Zongyi , Cheng Yuan , Cheng Si 
Published: October 2021

Background and Purpose: The purpose of the study was to evaluate the usefulness of thromboelastography with platelet mapping (TEG-PM) for predicting hematoma expansion (HE) and poor functional outcome in patients with intracerebral hemorrhage (ICH).Methods: Patients with primary ICH who underwent baseline computed tomography (CT) and TEG-PM within 6 h after symptom onset were enrolled in the observational cohort study. We performed univariate and multivariate logistic regression models to assess the association of admission platelet function with HE and functional outcome. In addition, a receiver operating characteristic (ROC) curve analysis investigated the accuracy of platelet function in predicting HE. A mediation analysis was undertaken to determine causal associations among platelet function, HE, and outcome.Results: Of 142 patients, 37 (26.1%) suffered HE. Multivariate logistic regression identified arachidonic acid (AA) and adenosine diphosphate (ADP) inhibition as significant independent predictors of HE. The area under the ROC curves was 0.727 for AA inhibition and 0.721 for ADP inhibition. Optimal threshold for AA inhibition was 41.75% (75.7% sensitivity; 67.6% specificity) and ADP inhibition was 65.8% (73.0% sensitivity; 66.7% specificity). AA and ADP inhibition were also associated with worse 3-month outcomes after adjusting for age, admission Glasgow Coma Scale score, intraventricular hemorrhage, baseline hematoma volume, and hemoglobin. The mediation analysis showed that the effect of higher platelet inhibition with poor outcomes was mediated through HE.Conclusions: These findings suggest that the reduced platelet response to ADP and AA independently predict HE and poor outcome in patients with ICH. Platelet function may represent a modifiable target of ICH treatment.
Quantifying an Upper Extremity Everyday Task With 3D Kinematic Analysis in People With Spinal Cord Injury and Non-disabled Controls
Authors: Lili Lamprini , Sunnerhagen Katharina S. , Rekand Tiina , Alt Murphy Margit 
Published: October 2021

Objectives: Upper extremity function after spinal cord injury (SCI) is an important factor for performance of activities of daily living. An objective assessment of upper extremity function preferably in purposeful daily tasks is essential in understanding its impact on real-life activities. This study aimed to identify which movement parameters of upper extremity, measured by kinematic analysis during a purposeful daily task, are impaired in people with cervical or thoracic SCI.Materials and Methods: The study included 29 adults (mean 59.5 years, 9 women and 20 men) with cervical (n = 19) or thoracic (n = 10) established complete (n = 15) or incomplete (n = 14) SCI, and 54 non-disabled controls with commensurable age and sex (mean 59 years, 15 women, 39 men). The 3D kinematic data were captured with a five-camera system during a standardized unilateral daily task (drinking from a glass). In SCI, the upper extremity functioning of each arm was assessed with Action Research Arm Test (ARAT). Having a full score in ARAT indicated full functioning; a score of &lt;57 points indicated limited functioning. Kinematic data from full functioning arms (n = 27) and limited functioning arms (n = 30) in SCI were compared with the non-dominant arms (n = 54) in controls.Results: In the limited upper extremity functioning group, movement time, smoothness, arm abduction, wrist angle, trunk displacement, and inter-joint coordination, but not peak velocity of the hand, angular velocity of elbow, and relative time to peak velocity, all differed from controls. In the full upper extremity functioning group, arm abduction alone was significantly different from controls.Conclusions: The findings demonstrate that apart from measures of peak velocity, kinematic measures of movement quality including movement time, smoothness, trunk displacement, and joint angles are impaired in people with limited upper extremity functioning after SCI. The study provides robust results applicable to a representative population of individuals with established cervical or thoracic SCI. The results suggest that kinematic analysis might be useful for those with limited functioning in order to get a better understanding of the specific movement impairments in daily tasks after SCI.
Innovation in Informatics to Improve Clinical Care and Drug Accessibility for Rare Diseases in China
Authors: Liu Peng , Gong Mengchun , Li Jie , Baynam Gareth , Zhu Weiguo , Zhu Yicheng , Chen Limeng , Gu Weihong , Zhang Shuyang 
Published: October 2021

Background: In China, there are severe unmet medical needs of people living with rare diseases. Relatedly, there is a dearth of data to inform rare diseases policy. This is historically partially due to the lack of informatics infrastructure, including standards and terminology, data sharing mechanisms and network; and concerns over patient privacy protection.Objective: This study aims to introduce the progress of China's rare disease informatics platform and knowledgebase, and to discuss critical enablers of rare disease informatics innovation, including: data standardization; knowledgebase construction; national policy support; and multi-stakeholder participation.Methods: A systemic national strategy, delivered through multi-stakeholder engagement, has been implemented to create and accelerate the informatics infrastructure to support rare diseases management. This includes a disease registry system, together with more than 80 hospitals, to perform comprehensive research information collection, including clinical, genomic and bio-sample data. And a case reporting system, with a network of 324 hospitals, covering all mainland Chinese provinces, to further support reporting of rare diseases data. International standards were incorporated, and privacy issues were addressed through HIPAA compliant rules.Results: The National Rare Diseases Registry System of China (NRDRS) now covers 166 rare diseases and more than 63,000 registered patients. The National Rare Diseases Case Reporting System of China (NRDCRS) was primarily founded on the National Network of Rare Diseases (NNRD) of 324 hospitals and focused on real-time rare diseases case reporting; more than 400,000 cases have been reported. Based on the data available in the two systems, the National Center for Health Technology Assessment (HTA) of Orphan Medicinal Products (OMP) has been established and the expert consensus on HTA of OMP was produced. The largest knowledgebase for rare disease in Chinese has also been developed.Conclusion: A national strategy and the coordinating mechanism is the key to success in the improvement of Chinese rare disease clinical care and drug accessibility. Application of innovative informatics solutions can help accelerate the process, improve quality and increase efficiency.
A Machine Learning Model for Accurate Prediction of Sepsis in ICU Patients
Authors: Wang Dong , Li Jinbo , Sun Yali , Ding Xianfei , Zhang Xiaojuan , Liu Shaohua , Han Bing , Wang Haixu , Duan Xiaoguang , Sun Tongwen 
Published: October 2021

Background: Although numerous studies are conducted every year on how to reduce the fatality rate associated with sepsis, it is still a major challenge faced by patients, clinicians, and medical systems worldwide. Early identification and prediction of patients at risk of sepsis and adverse outcomes associated with sepsis are critical. We aimed to develop an artificial intelligence algorithm that can predict sepsis early.Methods: This was a secondary analysis of an observational cohort study from the Intensive Care Unit of the First Affiliated Hospital of Zhengzhou University. A total of 4,449 infected patients were randomly assigned to the development and validation data set at a ratio of 4:1. After extracting electronic medical record data, a set of 55 features (variables) was calculated and passed to the random forest algorithm to predict the onset of sepsis.Results: The pre-procedure clinical variables were used to build a prediction model from the training data set using the random forest machine learning method; a 5-fold cross-validation was used to evaluate the prediction accuracy of the model. Finally, we tested the model using the validation data set. The area obtained by the model under the receiver operating characteristic (ROC) curve (AUC) was 0.91, the sensitivity was 87%, and the specificity was 89%.Conclusions: This newly established machine learning-based model has shown good predictive ability in Chinese sepsis patients. External validation studies are necessary to confirm the universality of our method in the population and treatment practice.