bluuebunny/crossref_metadata_2025_split huggingface dataset:
FAKTOR-FAKTOR YANG MEMPENGARUHI KINERJA TENAGA KESEHATAN DI RUMAH SAKIT PERTAMINA BINTANG AMIN BANDAR LAMPUNG TAHUN 2020
Authors: Sudiadnyani Niputu , Sary Lolita , Muhani Nova , Amirus Khoidar , Hasbie Neno Fitriyani 
Published: January 2023

Ketersediaan dan pemberdayaan sumber daya manusia (SDM) sangat dibutuhkan dalam mencapai pembangunan kesehatan, karena pelayanan yang bermutu dan terjangkau oleh seluruh lapisan masyarakat tidak akan terwujud apabila tidak didukung oleh kesiapan sumber daya manusia yang baik. Dari data di RS Pertamina Bintang Amin Bandar Lampung. Hasil pengukuran rata-rata kinerja dokter diperoleh sebesar 80,4% dimana capaian ini masih dibawah target kinerja dokter RS Pertamina Bintang Amin yaitu sebesar 100%. Tujuan penelitian ini diketahui faktor yang mempengaruhi kinerja tenaga kesehatan di Rumah Sakit Pertamina Bintang Amin Bandar Lampung Tahun 2020. Jenis penelitian kuantitatif, dengan rancangan cross sectional, populasi seluruh tenaga kesehatan sebanyak 269. Besarnya sampel menggunakan rumus LameshowUji Hipotesis Dua Proporsidiperoleh sampel 174orang. Teknik pengambilan sampel menggunakan Cluster Sampling, karena terdiri dari 15 ruangan. Pengambilan data menggunakan lembar kuesioner dan analisis data menggunakan uji statistik logistic regression. Hasil penelitian diketahui kinerja tenaga kesehatankategori baik (58%). Motivasi kategori kurang baik (51,10%). Supervisi kategori kurang baik (51,70%). Pendapatan/gaji kategori tinggi (60,30%).Pengembangan karir kategori tidak ada pengembangan karir (72,40%). Ada hubungan motivasi (p-value 0,0001 < α 0,05), OR:11,459. Ada hubungan supervisi (p-value 0,000< α 0,05), OR:9,516. Ada hubungan (p-value 0,000< α 0,05),OR: 9,382. Ada hubungan pengembangan karir (p-value 0,000< α 0,05),OR: 5,328. Faktor dominan yang berhubungan dengan kinerja yaitu motovasi (p-value 0,000, OR:9,297). Disarankan pihak rumah sakit melakukan penilaian kinerja terhadap seluruh tenaga kesehatan sesuai dengan bidangnya masing-masing, memberikan reward terhadap tenaga kesehatan yang bekerja dengan baik dan memberi kesempatan dalam pengembangan karir serta supervisor Rumah Sakit agar meningkatkan kerja sama dengan tenaga kesehatan.
STUDI FENOMENOLOGI PERSEPSI MASYARAKAT TERHADAP PENTINGNYA SWAB UNTUK MENDIAGNOSIS COVID-19 DI KECAMATAN MEDAN SUNGGAL
Authors: Sari Winda Fatika , Nababan Donal , Sinaga Janno , Ginting Daniel , Tarigan Frida 
Published: January 2023

Coronavirus Disease 2019 (COVID-19) disebabkan oleh Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV2) dan ditularkan antara hewan dan manusia (zoonosis). Salah satu metode dalam mendeteksi virus ini dengan melakukan Swab Test COVID-19. WHO merekomendasikan metode Reverse Transcription-Polymerase Chain Reaction (RT-PCR), Antibody dan antigen yang merupakan metode pencegahan penyebaran dan mendeteksi dini COVID-19. Penelitian ini merupakan penelitian kualitatif dengan fokus masalah penelitian mengenai fenomenologi persepsi masyarakat terhadap pentingnya swab dalam mendiagnosis COVID-19 di Kecamatan Medan Sunggal. Informan pada penelitian ini terdiri dari 20 informan dimana terdapat 4 kelompok 1 yaitu informan dengan masyarakat yang memiliki gejala melakukan swab, kelompok 2 masyarakat yang memiliki gejala tidak melakukan swab, kelompok 3 masyarakat yang tidak memiliki gejala melakukan swab, dan kelompok 4 masyarakat yang tidak memiliki gejala tidak melakukan swab. Teknik pengumpulan data dengan Focus Group Discussion dan wawancara mendalam. Pengambilan hasil didapatkan dari jawaban yang mewakili dari masing-masing informan. Hasil penelitian didapatkan bahwa sebanyak 80% informan mengetahui COVID-19, mayoritas masyarakat Kecamatan Medan Sunggal mengetahui Gejala COVID-19, mayoritas masyarakat kecamatan Medan Sunggal mengetahui Swab Test dan Jenis Swab Test COVID-19, mayoritas informan mengetahui hasil swab test COVID-19.
TINGKAT PENGETAHUAN TENTANG OBESITAS PADA MASYARAKAT DUSUN SUMBER SARI DESA TAMAN SARI KECAMATAN GEDONG TATAAN
Authors: Alfarisi Ringgo , Nurfadilah Diah Wulan , Shakira Dina 
Published: January 2023

Riset Kesehatan Dasar (Riskesdas) tahun 2018 melaporkan prevalensi obesitas pada dewasa di Indonesia meningkat dari 14,8% di tahun 2013 menjadi 21,8%. Prevalensi obesitas pada perempuan (29,3%) lebih tinggi dibandingkan laki-laki (14,5%). Obesitas berhubungan dengan peningkatan mortalitas signifikan. Obesitas dikaitkan dengan penurunan angka harapan hidup sebesar 5-10 tahun. Obesitas juga berkaitan dengan peningkatan risiko mortalitas semua sebab, mortalitas penyakit kardiovaskuler seperti sindrom koroner akut, juga keganasan (Fruh, S.,M., 2017). Teori Green (2009), menyatakan bahwa perilaku seseorang dipengaruhi oleh pengetahuan sebagai faktor predisposisi. Tingkat pengetahuan yang rendah menyebabkan sesorang melakukan gaya hidup yang beresiko untuk terjadinya obesitas.Penelitian ini bertujuan untuk mengetahui adanya perbedaan tingkat pengetahuan warga Dusun Taman Sari tentang obesitas, sebelum dan sesudah dilakukan penyuluhan. Jenis penelitian yang digunakan dalam penelitian ini adalah kuantitatif dengan desain penelitian analitik observasional dengan pendekatan cross sectional. Populasi penelitian ini adalah seluruh warga Dusun Sumber Sari, Desa Taman Sari, Kecamatan Gedong Tataan, Kabupaten Pesawaran, Provinsi Lampung. Cara pengambilan sampel penelitian yang digunakan adalah purposive sampling sehingga didapatkan sampel 52 orang responden yang memenuhi kriteria inklusi dan ekslusi. Analisis perbandingan data menggunakan uji Wilcoxon.Hasil penelitian menunjukkan kesimpulan bahwa rerata tingkat pengetahuan warga Dusun Sumber Sari tentang obesitas sesudah penyuluhan (72,5), lebih besar dibandingkan dengan rerata tingkat pengetahuan responden sebelum penyuluhan (59,2). Terdapat perbedaan yang signifikan antara tingkat pengetahuan warga Dusun Sumber Sari tentang obesitas sebelum penyuluhan dengan sesudah penyuluhan (p value = 0,000).
Faktor-Faktor Yang Mempengaruhi Kepatuhan Wajib Pajak Badan Pada Kantor Pajak Pratama Tanjung Karang
Authors: Anggraeni Yeni , Kusnadi Kusnadi , Sariningsih Eka 
Published: January 2023

Tax is a mandatory contribution to the state owed by every person or entity that is forced but still based on the Act. The minimum level of compliance of taxpayers causes, among others, taxpayers still perceive taxes as mandatory levies because they do not yet have a high awareness so that taxes are assessed as burdens. This study aims to provide relevant evidence of any of these ten factors, which affect taxpayer compliance in the Tanjung Karang Bandar Lampung KPP. This study uses primary data obtained from questionnaires. The population in this study are taxpayers who are active in the Bandar Lampung Primary Tax Office. The number of samples taken was 355 respondents. Analysis of the data used is multiple linear analysis. The results showed knowledge and environmental variables that had an effect on and significant on tax compliance, while other variables had no effect.Keywords : Attitude, Age, gender, knowledge, financial condition, environment, morals, sanctions, E-system and Socialization
PENELITIAN PENGARUH FRAUD PENTAGON TERHADAP KECURANGAN PELAPORAN KEUANGAN : STUDI META ANALISIS
Authors: Jasmine Cherryl , Leonardo Albert , Eleazar Azarya , Meiden Carmel 
Published: January 2023

Penelitian ini bertujuan untuk mengintegrasikan berbagai jurnal terkait topik Fraud Pentagon berpengaruh terhadap kecurangan pelaporan keuangan di Indonesia periode 2012-2020. Metode pengumpulan data menggunakan metode observasi berbagai jurnal. Sampel yang digunakan adalah 20 jurnal yang sudah dipublikasi di berbagai jurnal. Teknik pengambilan sampel menggunakan teknik purposive sampling. Peneliti menggunakan teknik meta analisis untuk mengintegrasikan hasil penelitian jurnal dan menunjukan kesimpulan yang terkait dengan fraud pentagon terhadap kecurangan pelaporan keuangan. Hasil dari penelitian menunjukan bahwa pergantian dewan direksi, stabilitas keuangan, pemantauan yang tidak efektif, pergantian auditor dan frekuensi munculnya foto CEO berpengaruh secara signifikan namun lemah terhadap kecurangan pelaporan keuangan.Kata kunci : Meta Analisis, Fraud Pentagon, Kecurangan Pelaporan Keuangan.
A glycolysis-related gene signatures in diffuse large B-Cell lymphoma predicts prognosis and tumor immune microenvironment
Authors: Cui Yingying , Leng Changsen 
Published: January 2023

Background: Diffuse large B-cell lymphoma (DLBCL) is the most common type of lymphoma which that highly aggressive and heterogeneous. Glycolysis has been implicated in the regulation of tumor microenvironment (TME) and development. In this study, we aimed to establish a glycolysis-related prognostic model for the risk stratification, prognosis prediction, and immune landscape evaluation in patients with DLBCL.Methods: Three independent datasets GSE181063, GSE10846, and GSE53786 containing gene expression profiles and clinical data were downloaded from the Gene Expression Omnibus (GEO) database. The glycolysis-related prognostic model was developed with Cox and Least Absolute Shrinkage and Selector Operation (LASSO) regression and validated. A nomogram integrating clinical factors and glycolytic risk scores was constructed. The composition of the TME was analyzed with the ESTIMATE algorithm and single-sample gene set enrichment analysis (ssGSEA).Results: A glycolytic risk model containing eight genes was developed. The area under the receiver operating characteristic (ROC) curve (AUC) for the 1-, 3-, and 5-year was 0.718, 0.695, and 0.688, respectively. Patients in the high-risk group had significantly lower immune scores, elevated tumor purity, and poorer survival compared with those in the low-risk group. The nomogram constructed based on glycolytic risk score, age, Eastern Cooperative Oncology Group performance status (ECOG-PS), use of rituximab, and cell of origin (COO) displayed better prediction performance compared with the International Prognostic Index (IPI) in DLBCL. The glycolytic risk score was negatively correlated with the infiltration level of activated CD8 T cells, activated dendritic cells, natural killer cells, and macrophages and immune checkpoint molecules including PD-L2, CTLA4, TIM-3, TIGIT, and B7-H3.Conclusion: These results suggested that the glycolytic risk model could accurately and stably predict the prognosis of patients with DLBCL and might unearth the possible explanation for the glycolysis-related poor prognosis.
Proenkephalin A and bioactive adrenomedullin are useful for risk prognostication in cardiac surgery
Authors: Hill Aileen , Bergmann Deborah , Schulte Janin , Zayat Rashad , Marx Gernot , Simon Tim-Philipp , Mossanen Jana , Brücken Anne , Stoppe Christian 
Published: January 2023

IntroductionVarious clinical scores have been developed to predict organ dysfunction and mortality in patients undergoing cardiac surgery, but outcome prediction may be inaccurate for some patient groups. Proenkephalin A (penKid) and bioactive adrenomedullin (bio-ADM) have emerged as promising biomarkers correlating with shock and organ dysfunction. This imposes the question of whether they can be used as prognostic biomarkers for risk stratification in the perioperative setting of cardiac surgery.MethodsPatients undergoing cardiac surgery were prospectively enrolled in this observational study. PenKid and bio-ADM plasma levels, as well as markers evaluating inflammation and organ dysfunction, were measured at five perioperative time points from before the induction of anesthesia to up to 48 h postoperatively. Clinical data regarding organ dysfunction and patient outcomes were recorded during the intensive care unit (ICU)-stay with a special focus on acute kidney injury (AKI).ResultsIn 136 patients undergoing cardiac surgery, the bio-ADM levels increased and the penKid levels decreased significantly over time. PenKid was associated with chronic kidney disease (CKD), the incidence of AKI, and renal replacement therapy (RRT). Bio-ADM was associated with lactate and the need for vasopressors. PenKid was useful to predict an ICU-length of stay (LOS)&gt;1 day and added prognostic value to the European System for Cardiac Operative Risk Evaluation Score (EuroSCORE) II when measured after the end of cardiopulmonary bypass and 24 h after cardiac surgery. For bio-ADM, the same was true when measured 24 h after surgery. PenKid also added prognostic value to the EuroSCORE II for the combined outcome “ICU length of stay &gt;1 day and in-hospital mortality.”ConclusionThe combination of preoperative EuroSCORE II and intraoperative measurement of penKid may be more useful to predict a prolonged ICU LOS and increased mortality than EuroSCORE II alone. Bio-ADM correlates with markers of shock. More research is encouraged for early risk stratification and validation of penKid and bio-ADM as a tool involved in clinical decisions, which may enable the early initiation of organ protective strategies.
Novel Insight Into Long-Term Risk of Major Adverse Cardiovascular and Cerebrovascular Events Following Lower Extremity Arteriosclerosis Obliterans
Authors: Sun Ji , Deng Qiang , Wang Jun , Duan Shoupeng , Chen Huaqiang , Zhou Huixin , Zhou Zhen , Yu Fu , Guo Fuding , Liu Chengzhe , Xu Saiting , Song Lingpeng , Wang Yijun , Feng Hui , Yu Lilei 
Published: January 2023

Graphical AbstractCentral illustration: lower extremity arteriosclerosis obliterans as a prognostic factor for the occurrence of major cardiovascular and cerebrovascular adverse events.
Identifying encephalopathy in patients admitted to an intensive care unit: Going beyond structured information using natural language processing
Authors: Ariño Helena , Bae Soo Kyung , Chaturvedi Jaya , Wang Tao , Roberts Angus 
Published: January 2023

BackgroundEncephalopathy is a severe co-morbid condition in critically ill patients that includes different clinical constellation of neurological symptoms. However, even for the most recognised form, delirium, this medical condition is rarely recorded in structured fields of electronic health records precluding large and unbiased retrospective studies. We aimed to identify patients with encephalopathy using a machine learning-based approach over clinical notes in electronic health records.MethodsWe used a list of ICD-9 codes and clinical concepts related to encephalopathy to define a cohort of patients from the MIMIC-III dataset. Clinical notes were annotated with MedCAT and vectorized with a bag-of-word approach or word embedding using clinical concepts normalised to standard nomenclatures as features. Machine learning algorithms (support vector machines and random forest) trained with clinical notes from patients who had a diagnosis of encephalopathy (defined by ICD-9 codes) were used to classify patients with clinical concepts related to encephalopathy in their clinical notes but without any ICD-9 relevant code. A random selection of 50 patients were reviewed by a clinical expert for model validation.ResultsAmong 46,520 different patients, 7.5% had encephalopathy related ICD-9 codes in all their admissions (group 1, definite encephalopathy), 45% clinical concepts related to encephalopathy only in their clinical notes (group 2, possible encephalopathy) and 38% did not have encephalopathy related concepts neither in structured nor in clinical notes (group 3, non-encephalopathy). Length of stay, mortality rate or number of co-morbid conditions were higher in groups 1 and 2 compared to group 3. The best model to classify patients from group 2 as patients with encephalopathy (SVM using embeddings) had F1 of 85% and predicted 31% patients from group 2 as having encephalopathy with a probability &gt;90%. Validation on new cases found a precision ranging from 92% to 98% depending on the criteria considered.ConclusionsNatural language processing techniques can leverage relevant clinical information that might help to identify patients with under-recognised clinical disorders such as encephalopathy. In the MIMIC dataset, this approach identifies with high probability thousands of patients that did not have a formal diagnosis in the structured information of the EHR.
Analysis of geothermal fluid chemical characteristics and genetic model—A case study from the urban area of Jingmen China
Authors: Liu Rui , Li Hongmei , Zhao Zhan , Zhang Zeyu 
Published: January 2023

Over the years, scholars both at home and abroad have been committed to the research of geothermal fluid chemistry and genetic model, and geochemical and isotopic methods are usually the first choice for evaluation. In this paper, the characteristics of geothermal fluids and their genesis patterns in the Jingmen urban area are analyzed and studied by comprehensive utilization of techniques such as hydrochemistry, trace elements, and isotope analysis. The results show that the water chemical type of surface water and groundwater is Ca-HCO3 type, while the geothermal fluid belongs to the Ca-SO4 type. The recharge source of the geothermal fluid is the infiltration recharge of meteoric precipitation, and the recharge altitude is 395–435 m, and the geothermal fluid is modern water (less than 5–10 years old). The water-rock reaction has not reached equilibrium, and the dissolution is still in progress. The estimated mixing ratio of cold-water ranges from 30%–40%. The thermal reservoirs are mainly calcareous dolomite and dolomite of the Lower Triassic Jialingjiang Formation (T1j). The red sandstone and mudstone of the Upper Cretaceous Paomagang Formation (K2p) distributed in the area are good caprocks of the geothermal field. The geothermal energy in the urban area of Jingmen is a system of lateral “seepage.” Thermal water surges up along the Jingmen fracture and fracture zone, forming a relatively high-temperature center, and a part of its “seeps” laterally into the shallow pore aquifer or pore-fracture aquifer, which mixed with the cold water in it to form medium and low-temperature hot water around the center of the geothermal area.
Lithospheric electrical structure across the Bangong-Nujiang Suture in northern tibet revealed by magnetotelluric
Authors: Yang Zhen , Liang Hongda , Gao Rui , Han Jiangtao , Xin Zhonghua , Kang Jianqiang , Shi Zhuoxuan , Zhang Lu , Qi Rui , Li Huilin 
Published: January 2023

Competing hypotheses have been proposed to explain the subduction polarity of the Bangong-Nujiang Tethyan Ocean and the formation of the high-conductivity anomaly beneath the Qiangtang terrane. However, the lithospheric architecture of the northern Tibetan Plateau is still poorly understood due to inhospitable environments and topography. Therefore, in the winter of 2021, a 440 km long, SN-trending broadband magnetotelluric (MT) profile was recorded in northern Tibet to detect its regional lithospheric structure. The nonlinear conjugate gradients algorithm is conducted to invert the individual TM mode data. A reliable 2D electrical model was obtained by ablation processing and analysis of broadband magnetotelluric data to test the lithospheric electrical structure and dynamics between the northern Lhasa and Qiangtang terranes. The inversion results reveal the lithospheric structure at a depth of 100 km in northern Tibet, which synthesizes geological, geochemical and deep seismic reflection evidence and firmly identifies that the trace of the south-dipping conductor mainly resulted from the southward subduction of the Bangong-Nujiang Tethyan Ocean under the Lhasa terrane and the trace of the north-dipping conductor likely due to the northward subduction of the Bangong-Nujiang Tethyan Ocean under the Qiangtang terrane. In addition, the magnetotelluric profile also images a high-conductivity lithospheric-scale anticline beneath the central Qiangtang terrane, which may correspond to the upwelling of postcollisional magmatism triggered by northward subduction of the Bangong-Nujiang Tethyan Ocean under the Qiangtang terrane, aqueous fluid and/or partial melting.
Dysbiosis of gut microbiota and decreased propionic acid associated with metabolic abnormality in Cushing’s syndrome
Authors: Zhang Qin , Hu Wen-mu , Deng Yu-ling , Wan Jin-jing , Wang Yu-jun , Jin Ping 
Published: January 2023

ObjectiveChronic hypercortisolism leads to a phenotype resembling metabolic syndrome. We aimed to investigate the association between gut microbiota and metabolic abnormalities in endogenous hypercortisolism (Cushing’s syndrome).MethodsA total of 23 patients with Cushing’s syndrome (18 female and 5 men, aged 47.24 ± 12.99 years) and 30 age-, sex-and BMI-matched healthy controls (18 female and 12 men, aged 45.03 ± 6.69 years) were consecutively recruited. Differences in gut microbiota and plasma short-chain fatty acid (SCFAs) concentrations between the Cushing’s syndrome patients and controls were analyzed by 16S rRNA sequencing and gas chromatography-mass spectrometry (GC-MS).ResultsCompared to the controls, the Simpson and Pielou indices of α diversity were dramatically decreased in Cushing’s syndrome (P &lt; 0.05). The gut microbiota community structure differed significantly between Cushing’s syndrome patients and controls. Compared to controls, the bacterial communities of the Cushing’s syndrome patients were enriched in Proteobacteria and Escherichia-Shigella, and depleted in Firmicutes, including Agathobacter, Blautia, Anaerostipes, Eubacterium_eligens_group, and Lachnospira. Spearman analysis demonstrated that HbA1c, SBP, DBP, and cortisol levels were significantly positively correlated with Proteobacteria and Escherichia-Shigella, whereas negatively correlated with Agathobacter, Blautia, Anaerostipes, Eubacterium_hallii_group, and Lachnospira, etc. Cushing’s syndrome patients also had a lower propionic acid concentration (0.151±0.054 vs. 0.205±0.032 µg/mL, P=0.039) than controls. Furthermore, the level of propionic acid was negatively correlated with systolic pressure and cortisol levels (P&lt;0.05).ConclusionGut microbiota dysbiosis and decreased propionic acid levels were observed in patients with Cushing’s, suggesting that the gut microbiota may be a potential therapeutic intervention target to improve hypercortisolism-related metabolic abnormalities.
Association between serum uric acid levels and atrial fibrillation in different fasting glucose patterns: A case-control study
Authors: Zhong Xia , Jiao Huachen , Zhao Dongsheng , Yang Mengqi , Teng Jing 
Published: January 2023

BackgroundPrevious studies have shown both dysglycaemia and hyperuricemia are associated with an increased risk of atrial fibrillation (AF), while the relationship between serum uric acid (SUA) levels and AF in different fasting glucose patterns (FBG) is unclear. Therefore, this study aimed to determine the association between SUA and AF in different FBG patterns.MethodsA total of 1840 patients in this case-control study were enrolled, including 920 AF patients and 920 controls. Patients were divided into three groups according to the different FBG patterns: normoglycemic, impaired fasting glucose (IFG), and diabetes mellitus (DM). Multivariate logistic regression models were performed to evaluate the relationship between SUA and AF in different FBG patterns. Pearson correlation analysis was used to explore the correlation between SUA and metabolic factors. Receiver operating characteristic (ROC) curve models indicated the diagnostic efficiency of SUA for diagnosing AF.ResultsSUA was independently associated with AF after adjusting for all confounding factors in different FBG patterns(normoglycemic: OR=1.313, 95% CI:1.120-1.539; IFG: OR=1.386, 95% CI:1.011-1.898; DM: OR=1.505, 95% CI:1.150-1.970). Pearson’s correlation analysis suggested that SUA in AF patients was correlated with several different metabolic factors in different FBG patterns (p&lt;0.05). ROC curve analysis showed that SUA in the normoglycemic group combined with CHD and APOB [AUC: 0.906 (95% CI: 0.888-0.923)], in the IFG group combined with CHD and Scr [AUC: 0.863 (95% CI: 0.820-0.907)], in the DM group combined with CHD and SBP [AUC: 0.858 (95% CI: 0.818-0.898)] had the highest AUC for predicting AF.ConclusionFindings implied a significant association between SUA and AF in different FBG patterns and provide specific models combined with other factors (CHD, APOB, SCr, SBP), which might contribute to the diagnosis of AF.