bluuebunny/crossref_metadata_2025_split huggingface dataset:
DETERMINAN KELELAHAN MATA PADA PEKERJA PENGGUNA KOMPUTER
Authors: Pertiwi Wiwik Eko , Nasiatin Titin , Permatasari Indah 
Published: May 2023

Kelelahan mata adalah ketegangan pada mata atau penglihatan yang disebabkan oleh penggunaan indera penglihatan dalam bekerja yang memerlukan kemampuan melihat dalam waktu yang lama, disertai dengan kondisi penglihatan yang tidak nyaman. Tujuan dari penelitian ini adalah untuk mengetahui faktor-faktor yang berhubungan dengan kelelahan mata pada pengguna komputer di PT. Sarana Usaha Rusamas Tahun 2021. Rancangan penelitian ini adalah cross sectional, jumlah populasi penelitian adalah pekerja komputer sebanyak 40 responden. Pengumpulan data primer menggunakan kuesioner, wawancara, dan observasi. Hasil analisis didapatkan dari 40 responden sebanyak 31 (77,5%) mengalami keluhan mata lelah, jarak mata < 50 cm sebanyak 20 (50,0%), lama paparan ≥ 4 jam sebanyak 27 ( 67,5%), tingkat pencahayaan yang dapat diabaikan sebanyak 28 (70,0%) dan ketinggian monitor tidak optimal sebanyak 3 (7,5%). Hasil penelitian menyatakan bahwa tidak ada hubungan yang bermakna antara tingginya monitor (Pv=0,640) dengan keluhan kelelahan mata. Terdapat hubungan yang signifikan antara jarak mata (Pv= 0,008), lama paparan (Pv= 0,038), dan tingkat paparan radiasi komputer (Pv= 0,001). Kelelahan mata yang dibiarkan berlarut-larut dapat berdampak pada kesehatan mata yang berujung pada gangguan penglihatan.
Implementasi Backdoor Metasploit Framework Untuk Android Menggunakan Windows
Authors: Royana  , Supriyono  , Munawaroh  
Published: May 2023

Seiring dengan maraknya penggunaan smartphone terutama yang berbasis OS Android sudah menjadi kebutuhan yang tidak terpisahkan dalam kehidupan sehari-hari. Hal ini dikarenakan smartphone memiliki berbagai fitur yang dapat memenuhi kebutuhan penggunanya, sehingga dibutuhkan keamanan jaringan yang baik. Dalam keamanan jaringan memiliki beberapa metode yang digunakan untuk mengamankan jaringan tersebut. Salah satunya menggunakan metode Metasploit Framework yang merupakan sebuah metode keamanan yang menggabungkan antara identifikasi dan penindakan.Dalam penerapan sistem keamanan untuk mengetahui celah-celah pada sistem OS Android, peneliti menggunakan backdoor. Dalam pembuatan backdoor salah satunya dapat dilakukan dengan menggunakan metasploit framework. Metode ini dioperasikan melalui Command Prompt pada Windows yang akan membuat sebuah apk Backdoor yang akan dikirim dan diinstal didalam sistem operasi OS Android Penelitian ini dilakukan dengan tujuan untuk uji coba sistem keamanan OS Android dan mengetahui celah-celah yang terdapat pada sistem OS Android seperti data pesan sms, log panggilan telepon, data aplikasi yang terinstal, lokasi android pada sistem OS Android menggunakan framework metasploit backdoor . Pada penelitian ini menggunakan metode studi pustaka dan dokumentasi untuk mengetahui sistem keamanan OS Android. Hasil akhir dari penelitian ini adalah data pesan SMS, log panggilan telepon, data aplikasi terinstal, dan lokasi OS Android target berhasil diakses dan dapat ditampilkan melalui terminal Command Prompt.
Penerapan Algoritma K-Means Berbasis Spasial Untuk Pengelompokan Potensi Virus Covid-19 Di Kabupaten Dompu
Authors: Adil Ahmat , Darma I Made Yadi , Heroe Santoso  , Lalu Sofiyandi Prayatna  
Published: May 2023

Pandemi COVID-19 memiliki dampak sosial-ekonomi yang besar, termasuk tingkat kemiskinan pada 2020 mencapai 12,4% atau akan ada 8,5 juta orang miskin baru. Kasus COVID-19 pertama kali yang tercatat di Kabupaten Dompu terjadi pada tanggal 18 April 2020. Penelitian ini bertujuan untuk mengimplementasikan Metode K-means berbasis spasial untuk mengetahui potensi penyebaran COVID-19 di Kabupaten Dompu. Metode yang digunakan dalam penelitian ini adalah data mining dengan menerapkan algorithma K-Means. Algoritma K-Means memiliki fungsi untuk mengelompokkan data kedalam cluster. Hasil yang diperoleh berdasarkan Analisa algoritma k-means terkait potensi penyebaran covid 19 di kabupaten Dompu dibagi menjadi 2 cluster diantaranya cluster 1 dalam kelompok zona orange 3 kecamatan yaitu kecamatan Woja, Dompu dan Hu’u, dan cluster 2 dalam zona merah 5 kecamatan yaitu Kilo, Pajo, Manggelewa, Kempo, Pekat. Pengelompokan data ini diimplementasikan kedalam data spasial yaitu data keruangan area yang merupakan potensi penyebaran covid 19. Kesimpulan yang didapatkan adalah metode K-Means berhasil mengelompokkan potensi penyebaran covid-19 di Kabupaten Dompu dengan 2 cluster diantaranya cluster 1 dalam kelompok zona orange 3 kecamatan, dan cluster 2 dalam zona merah 5 kecamatan. Dan dari hasil akhir usability penggunaan aplikasi menyimpulkan bahwa penerapan metode K-Means dalam pengelompokan penyebaran kasus covid-19 di kabupaten Dompu “Sangat Baik”
Impact of early pericardial fluid chymase activation after cardiac surgery
Authors: Butts Brittany , Goeddel Lee A. , Zheng Jingyi , Pat Betty , Powell Pamela , Mobley James , Ahmad Sarfaraz , Steele Chad , McGiffin David , Davies James E. , George James F. , Melby Spencer J. , Ferrario Carlos M. , Dell’Italia Louis J. 
Published: May 2023

IntroductionChymase is a highly destructive serine protease rapidly neutralized in the circulation by protease inhibitors. Here we test whether pericardial fluid (PCF) chymase activation and other inflammatory biomarkers determine intensive care unit length of stay, and explore mechanisms of chymase delivery by extracellular vesicles to the heart.MethodsPCF was collected from adult patients (17 on-pump; 13 off-pump) 4 h after cardiac surgery. Extracellular vesicles (EVs) containing chymase were injected into Sprague–Dawley rats to test for their ability to deliver chymase to the heart.ResultsThe mean intensive care unit (ICU) stay and mean total length of stay was 2.17 ± 3.8 days and 6.41 ± 1.3 days respectively. Chymase activity and 32 inflammatory markers did not differ in on-pump vs. off-pump cardiac surgery. Society of Thoracic Surgeons Predicted Risk of Morbidity and Mortality Score (STS-PROM), 4-hour post-surgery PCF chymase activity and C-X-C motif chemokine ligand 6 (CXCL6) were all independent predictors of ICU and total hospital length of stay by univariate analysis. Mass spectrometry of baseline PCF shows the presence of serine protease inhibitors that neutralize chymase activity. The compartmentalization of chymase within and on the surface of PCF EVs was visualized by immunogold labeling and transmission electron microscopy. A chymase inhibitor prevented EV chymase activity (0.28 fmol/mg/min vs. 14.14 fmol/mg/min). Intravenous injection of PCF EVs obtained 24 h after surgery into Sprague Dawley rats shows diffuse human chymase uptake in the heart with extensive cardiomyocyte damage 4 h after injection.DiscussionEarly postoperative PCF chymase activation underscores its potential role in cardiac damage soon after on- or off-pump cardiac surgery. In addition, chymase in extracellular vesicles provides a protected delivery mechanism from neutralization by circulating serine protease inhibitors.
Longitudinal hemoglobin trajectories and acute kidney injury in patients undergoing cardiac surgery: a retrospective cohort study
Authors: Zhu Shouqiang , Lu Peng , Liu Zhenran , Li Shaoyang , Li Peitong , Wei Bingdi , Li Jiayi , Wang Yupei 
Published: May 2023

ObjectThe purpose of this study was to describe the longitudinal dynamic hemoglobin trajectories in patients undergoing cardiac surgery and to explore whether they provide a broader perspective in predicting AKI compared to traditional threshold values. Additionally, the interaction of red blood cell transfusion was also investigated.MethodsThe MIMIC-IV database was searched to identify patients undergoing cardiac surgery with cardiopulmonary bypass. Group-based trajectory modeling (GBTM) was used to determine the hemoglobin trajectories in the first 72 h after ICU admission. The correlation between hemoglobin trajectories and AKI was evaluated using multivariable logistic regression and inverse probability of treatment weighting. Receiver operating characteristic (ROC) curves were created in the dataset to further validate previously reported thresholds.ResultsA total of 4,478 eligible patients were included in this study. Three hemoglobin trajectories were identified by GBTM, which were significantly different in the initial hemoglobin level and evolution pattern. Compared to the “the lowest, rising, and then declining” trajectory, patients in the “the highest, declining” and “medium, declining” trajectory groups had significantly lower AKI risk (OR 0.56; 95% CI 0.48, 0.67) and (OR 0.70; 95% CI 0.55, 0.90), respectively. ROC analysis yielded a disappointing result, with an AUC of 0.552, sensitivity of 0.25, and specificity of 0.86 when the hemoglobin threshold was set at 8 g/dl in the entire cohort. In the subgroup analysis of red blood cell transfusion, hemoglobin levels above 10 g/dl predicted higher AKI risk, and there was no correlation between hemoglobin trajectories and AKI in the non-red blood cell transfusion subgroup.ConclusionThis study identified a hemoglobin trajectory that is associated with an increased risk of AKI after cardiac surgery. It is noteworthy that fixed hemoglobin thresholds should not be applied to all patient types. In patients receiving red blood cell transfusion, maintaining hemoglobin levels above 10 g/dl through transfusion was associated with an increased risk of AKI.
Human thermo-physiological comfort assessment in Lisbon by local climate zones on very hot summer days
Authors: Reis Cláudia , Nouri A. Santos , Lopes António 
Published: May 2023

Extreme heat is a current and future issue on urban areas, with negative impacts on health and quality of life (increasing morbidity and mortality rates). This paper analyses day (12:00–15:00 h) and nighttime (00:00–03:00 h) thermo-physiological comfort (TC) conditions by Local Climate Zones (LCZ) in Lisbon during a particular Local Weather Type (LWT), very hot summer days. For this, 13 different microscale sample areas were chosen covering urban and non-urban land cover classes (LCZs 1–3, 4–6, 8, 9, A and B). Universal Thermal Climate Index (UTCI) and Mean Radiant Temperature (MRT) were modeled on SkyHelios software for 163 days between 2008 and 2014. Results show that during the day all urban LCZ samples depict the same average TC conditions (average UTCI of 34°C—strong heat stress) and densely wooded areas are 2°C cooler (average UTCI of 32°C—moderate heat stress). However, compact areas (LCZs 1–3) with low sky view factor and some vegetation (street trees) display lower percentages of area with higher thermo-physiological discomfort (TD) levels (83% with strong heat stress against 98% in LCZs 8 and 9 and 100% in LCZs 4–6). When considering the hottest days (air temperatures equal or above 35°C—75th percentile), the moderate heat stress class disappears in all samples and the very strong heat stress class appears only on urban areas, occupying between 12% and 16% on LCZs 1–3, 10%–22% on LCZs 4–6, 16%–22% on LCZs 8 and 9 on LCZ 9. During the nighttime period all samples show no thermal stress, favoring nocturnal physiological recovery. TC conditions in Lisbon are strongly influenced by solar radiation and wind, which explains the need to increase the shading area, preferably by trees, and to promote and preserve ventilation paths.
Relationship between lipid accumulation product and new-onset diabetes in the Japanese population: a retrospective cohort study
Authors: Liu Ting , Lu Weilin , Zhao Xiaofang , Yao Tianci , Song Bei , Fan Haohui , Gao Guangyu , Liu Chengyun 
Published: May 2023

BackgroundDiabetes has become a global public health problem. Obesity has been established as a risk factor for diabetes. However, it remains unclear which of the obesity indicators (BMI, WC, WhtR, ABSI, BRI, LAP, VAI) is more appropriate for monitoring diabetes. Therefore, the objective of this investigation is to compare the strength of the association of these indicators and diabetes and reveal the relationship between LAP and diabetes.Methods15,252 people took part in this research. LAP was quartered and COX proportional risk model was applied to explore the relationship between LAP and new-onset diabetes. Smooth curve fitting was employed to investigate the non-linear link between LAP and diabetes mellitus. Finally, the receiver operating characteristic (ROC) curve was used to evaluate the predictive ability of the aforementioned indicators for diabetes.ResultsAfter adjusting for confounding factors, multiple linear regression analysis showed that each unit increase in LAP was associated with a 76.8% increase in the risk of developing diabetes (HR=1.768, 95% CI: 1.139 to 2.746, P=0.011). In addition, LAP predicted new-onset diabetes better than other indicators, and the AUC was the largest [HR: 0.713, 95% CI: 0.6806-0.7454, P&lt;0.001, in women; HR: 0.7922, 95% CI: 0.7396-0.8447; P&lt;0.001, in men]. When LAP was used as a lone predictor, its AUC area was largest both men and women. However, after adding classical predictors (FPG, HbA1c, SBP, exercise, age) to the model, the LAP is better than the ABSI, but not better than the other indicators when compared in pairs.ConclusionsHigh levels of LAP correlate very strongly with diabetes and are an important risk factor for diabetes, especially in women, those with fatty liver and current smokers. LAP was superior to other indicators when screening for diabetes susceptibility using a single indicator of obesity, both in men and in women. However, when obesity indicators were added to the model together with classical predictors, LAP did not show a significant advantage over other indicators, except ABSI.
An easy-to-use AIHF-nomogram to predict advanced liver fibrosis in patients with autoimmune hepatitis
Authors: Zhang Zhiyi , Wang Jian , Wang Huali , Qiu Yuanwang , Zhu Li , Liu Jiacheng , Chen Yun , Li Yiguang , Liu Yilin , Chen Yuxin , Yin Shengxia , Tong Xin , Yan Xiaomin , Xiong Yali , Yang Yongfeng , Zhang Qun , Li Jie , Zhu Chuanwu , Wu Chao , Huang Rui 
Published: May 2023

BackgroundThe evaluation of liver fibrosis is essential in the management of patients with autoimmune hepatitis (AIH). We aimed to establish and validate an easy-to-use nomogram to identify AIH patients with advanced liver fibrosis.MethodsAIH patients who underwent liver biopsies were included and randomly divided into a training set and a validation set. The least absolute shrinkage and selection operator (LASSO) regression was used to select independent predictors of advanced liver fibrosis from the training set, which were utilized to establish a nomogram. The performance of the nomogram was evaluated using the receiver characteristic curve (ROC), calibration curve, and decision curve analysis (DCA).ResultsThe median age of 235 patients with AIH was 54 years old, with 83.0% of them being female. Six independent factors associated with advanced fibrosis, including sex, age, red cell distribution width, platelets, alkaline phosphatase, and prothrombin time, were combined to construct a predictive AIH fibrosis (AIHF)-nomogram. The AIHF-nomogram showed good agreement with real observations in the training and validation sets, according to the calibration curve. The AIHF-nomogram performed significantly better than the fibrosis-4 and aminotransferase-to-platelet ratio scores in the training and validation sets, with an area under the ROCs for predicting advanced fibrosis of 0.804 in the training set and 0.781 in the validation set. DCA indicated that the AIHFI-nomogram was clinically useful. The nomogram will be available at http://ndth-zzy.shinyapps.io/AIHF-nomogram/as a web-based calculator.ConclusionsThe novel, easy-to-use web-based AIHF-nomogram model provides an insightful and applicable tool to identify AIH patients with advanced liver fibrosis.
Diagnostic model constructed by five EMT-related genes for renal fibrosis and reflecting the condition of immune-related cells
Authors: Guo Yangyang , Yuan Ziwei , Hu Zujian , Gao Yuanyuan , Guo Hangcheng , Zhu Hengyue , Hong Kai , Cen Kenan , Mai Yifeng , Bai Yongheng , Yang Xuejia 
Published: May 2023

BackgroundRenal fibrosis is a physiological and pathological characteristic of chronic kidney disease (CKD) to end-stage renal disease. Since renal biopsy is the gold standard for evaluating renal fibrosis, there is an urgent need for additional non-invasive diagnostic biomarkers.MethodsWe used R package “limma” to screen out differently expressed genes (DEGs) based on Epithelial-mesenchymal transformation (EMT), and carried out the protein interaction network and GO, KEGG enrichment analysis of DEGs. Secondly, the least absolute shrinkage and selection operator (LASSO), random forest tree (RF), and support vector machine-recursive feature elimination (SVM-RFE) algorithms were used to identify candidate diagnostic genes. ROC curves were plotted to evaluate the clinical diagnostic value of these genes. In addition, mRNA expression levels of candidate diagnostic genes were analyzed in control samples and renal fibrosis samples. CIBERSORT algorithm was used to evaluate immune cells level. Additionally, gene set enrichment analysis (GSEA) and drug sensitivity were conducted.ResultsAfter obtaining a total of 24 DEGs, we discovered that they were mostly involved in several immunological and inflammatory pathways, including NF-KappaB signaling, AGE-RAGE signaling, and TNF signaling. Five genes (COL4A2, CXCL1, TIMP1, VCAM1, and VEGFA) were subsequently identified as biomarkers for renal fibrosis through machine learning, and their expression levels were confirmed by validation cohort data sets and in vitro RT-qPCR experiment. The AUC values of these five genes demonstrated significant clinical diagnostic value in both the training and validation sets. After that, CIBERSORT analysis showed that these biomarkers were strongly associated with immune cell content in renal fibrosis patients. GSEA also identifies the potential roles of these diagnostic genes. Additionally, diagnostic candidate genes were found to be closely related to drug sensitivity. Finally, a nomogram for diagnosing renal fibrosis was developed.ConclusionCOL4A2, CXCL1, TIMP1, VCAM1, and VEGFA are promising diagnostic biomarkers of tissue and serum for renal fibrosis.
Analysis and comparison of SARS-CoV-2 variant antibodies and neutralizing activity for 6 months after a booster mRNA vaccine in a healthcare worker population
Authors: Hosseinian Sina , de Assis Rafael , Khalil Ghali , Luu Madeleine K. , Jain Aarti , Horvath Peter , Nakajima Rie , Palma Anton M. , Hoang Anthony , Razzak Eisa , Garcia Nicholas , Alger Joshua , Kalantari Mina , Silzel Emily K. , Jasinskas Algis , Zaldivar Frank , Schubl Sebastian D. , Felgner Philip L. , Khan Saahir 
Published: May 2023

IntroductionIn the context of recurrent surges of SARS-CoV-2 infections, a detailed characterization of antibody persistence over a 6-month period following vaccine booster dose is necessary to crafting effective public health policies on repeat vaccination.MethodsTo characterize the SARS-CoV-2 antibody profile of a healthcare worker population over a 6-month period following mRNA vaccination and booster dose. 323 healthcare workers at an academic medical center in Orange County, California who had completed primary vaccination and booster dose against SARS-CoV-2 were recruited for the study. A total of 690 blood specimens over a 6-month period were collected via finger-stick blood and analyzed for the presence of antibodies against 9 SARS-CoV-2 antigens using a coronavirus antigen microarray. ResultsThe primary outcome of this study was the average SARS-CoV-2 antibody level as measured using a novel coronavirus antigen microarray. Additional outcomes measured include levels of antibodies specific to SARS-CoV-2 variants including Delta, Omicron BA.1, and BA.2. We also measured SARS-CoV-2 neutralization capacity for a subset of the population to confirm correlation with antibody levels. Although antibodies against SARS-CoV-2 wane throughout the 6-month period following a booster dose, antibody levels remain higher than pre-boost levels. However, a booster dose of vaccine based on the original Wuhan strain generates approximately 3-fold lower antibody reactivity against Omicron variants BA.1 and BA.2 as compared to the vaccine strain. Despite waning antibody levels, neutralization activity against the vaccine strain is maintained throughout the 6-month period. DiscussionIn the context of recurrent surges of SARS-CoV-2 infections, our data indicate that breakthrough infections are likely driven by novel variants with different antibody specificity and not by time since last dose of vaccination, indicating that development of vaccinations specific to these novel variants is necessary to prevent future surges of SARS-CoV-2 infections.
Antibody response and safety of inactivated SARS-CoV-2 vaccines in chronic hepatitis B patients with and without cirrhosis
Authors: Cao Huanhuan , Huang Yufei , Zhong Chunxiu , Liao Xingmei , Tan Wenjuan , Zhao Siru , Guo Liangxu , Fan Rong 
Published: May 2023

BackgroundThe immune response and safety of inactivated severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccines among patients with chronic hepatitis B (CHB), especially those with cirrhosis, are not clear. Therefore, this study was conducted to evaluate the efficacy and safety of inactivated SARS-CoV-2 vaccines among CHB patients with and without cirrhosis.Patients and methodsA total of 643 CHB patients who received two doses of inactivated SARS-CoV-2 vaccines (BBIBP-CorV and CoronaVac) were enrolled. Serum samples were collected and tested for SARS-CoV-2 S-receptor-binding domain (S-RBD) immunoglobulin G (IgG) at enrollment. Data on adverse events (AEs) within 7 days after the second dose were obtained using a questionnaire.ResultsA total of 416 non-cirrhotic and 227 cirrhotic patients were included in the analysis. Cirrhotic patients had lower antibody titers than non-cirrhotic patients after adjusting for age, sex, and time interval (2.45 vs. 2.60 ng/ml, p = 0.034). Furthermore, the study revealed that cirrhotic patients demonstrated a slower rate of seropositivity increase, with the highest rate being recorded at week 4 and reaching 94.7%. On the other hand, among non-cirrhotic patients, the seropositivity rate peak was observed at week 2 and reached 96.0%. In addition, cirrhotic patients displayed a more rapid decline in the seropositivity rate, dropping to 54.5% after ≥16 weeks, while non-cirrhotic patients exhibited a decrease to 67.2% after the same time period. The overall incidence of AEs was low (18.4%), and all AEs were mild and self-limiting. In addition, 16.0% of participants had mild liver function abnormalities, and half of them returned to normality within the next 6 months without additional therapy. The participants who experienced liver function abnormalities showed a higher seropositivity rate and antibody titer than those who did not (91.6% vs. 79.5%, p = 0.005; 2.73 vs. 2.41 ng/ml, p &lt; 0.001).ConclusionCirrhotic CHB patients had lower antibody titers to inactivated SARS-CoV-2 vaccines than non-cirrhotic patients. The vaccines were generally well tolerated in both non-cirrhotic and cirrhotic CHB patient groups. Patients with abnormal liver function may have a better antibody response than those without.