bluuebunny/crossref_metadata_2025_split huggingface dataset:
PENGARUH E-DIGITAL NURSING CARE PLANS (E-DNCP) TERHADAP TINGKAT KEPUASAN MAHASISWA TENTANG MEDIA PEMBELAJARAN DOKUMENTASI KEPERAWATAN MEDIKAL BEDAH
Authors: Rustiawati Epi 
Published: April 2022

Kemajuan teknologi merupakan tantangan bagi dosen mengembangkan media pembelajaran tidak monoton. Media pembelajaran berbasis buku bergeser menjadi berbasis digital. Media pembelajaran digital membantu mahasiswa mengases cepat tepat dan mudah diakses dan dibaca dengan mengunakan smart phone. Tujuan penelitian ini untuk mengetahui pengaruh E-Digital Nursing Care Plans (E-DNCP) terhadap tingkat kepuasan mahasiswa tentang media pembelajaran dokumentasi keperawatan medikal bedah. Metode penelitian:penelitian ini mengunakan metode quasi eksperimen dengan pendekatan pre post without kontrol. Populasi: mahasiswa keperawatan tingkat 3 DIII Keperawatan FK Untirta, sampel penelitian yang digunakan total sampling dengan jumlah 100 responden. Instrumen penelitian: kuisioner kepuasan mahasiswa dengan Post Study System Usability Quesionnaire (PPSUQ) dan aplikasi web pengaruh E-Digital Nursing Care Plans (E-DNCP) sebagai media pembelajaran dokumentasi keperawatan medikal bedah. Uji analisis: McNemar untuk mengetahui pengaruh E-Digital Nursing Care Plans (E-DNCP) terhadap tingkat kepuasan mahasiswa tentang media pembelajaran dokumentasi keperawatan medikal bedah. Hasil penelitian: diperoleh p value 0,002 menunjukan secara signifikan aplikasi E-Digital Nursing Care Plans (E-DNCP) berpengaruh terhadap tingkat kepuasan mahasiswa tentang media pembelajaran dokumentasi keperawatan medikal bedah. Kesimpulan dan saran. E digital nursing care plans berpengaruh terhadap kepuasan mahasiswa dalam pembelajaran dan aplikasi ini akan dikembangkan sebagai media pembelajaran mahasiswa dalam praktik keperawatan medikal bedah di kelas dan praktik klinik.
Construction and Comprehensive Analysis of ceRNA Networks and Tumor-Infiltrating Immune Cells in Hepatocellular Carcinoma With Vascular Invasion
Authors: Cai Shijiao , Du Renle , Zhang Yuan , Yuan Zhengyi , Shang Jie , Yang Yang , Han Bin , Zhong Weilong , Yuan Hengjie , Li Zhengxiang 
Published: April 2022

Background: Hepatocellular carcinoma (HCC) is a common malignant cancer. Metastasis plays a critical role in tumor progression, and vascular invasion is considered one of the most crucial factors for HCC metastasis. However, comprehensive analysis focusing on competitive endogenous RNA (ceRNA) and immune infiltration in the vascular invasion of HCC is lacking.Methods: The gene expression profiles of 321 samples, including 210 primary HCC cases and 111 HCC cases with vascular invasion, were downloaded from The Cancer Genome Atlas-Liver Hepatocellular Carcinoma project, and used in identifying significant differentially expressed lncRNAs (DElncRNAs), miRNAs (DEmiRNAs), and mRNAs (DEmRNAs). The RNAs associated with vascular invasion were used in constructing a ceRNA network. A multigene-based risk signature was constructed using the least absolute shrinkage and selection operator algorithm. We detected the fractions of 28 immune cell types in HCC through single-sample gene set enrichment analysis (ssGSEA). Finally, the relationship between the ceRNA network and immune cells was determined through correlation analysis and used in clarifying the potential mechanism involved in vascular invasion.Results: Overall, 413 DElncRNAs, 27 DEmiRNAs, and 397 DEmRNAs were recognized in HCC. A specific ceRNA network based on the interaction among 3 lncRNA–miRNA pairs and 24 miRNA–mRNA pairs were established. A ceRNA-based prognostic signature was constructed and used in dividing samples into high- and low-risk subgroups. The signature showed significant efficacy; its 3- and 5-year areas under the receiver operating characteristic curves were 0.712 and 0.653, respectively. ceRNA and ssGSEA integration analysis demonstrated that PART1 (p = 0, R = −0.33) and CDK5R2 (p = 0.01, R = −0.15) were negatively correlated to natural killer cells.Conclusion: This study demonstrated that vascular invasion in HCC might be related to PART1, and its role in regulating CDK5R2 and NK cells. A nomogram was developed to predict the prognosis of patients with HCC and demonstrated the value of the ceRNA network and tumor-infiltrating immune cells value in improving personalized management.
From Brown Seaweed to a Sustainable Microbial Feedstock for the Production of Riboflavin
Authors: Pérez-García Fernando , Klein Vivien Jessica , Brito Luciana Fernandes , Brautaset Trygve 
Published: April 2022

The increasing global demand for food and energy production encourages the development of new production strategies focused on sustainability. Often, microbial bioprocesses rely on food or feed competitive feedstocks; hence, there is a trending need for green substrates. Here, we have proven the potential of brown seaweed biomass as microbial feedstock on account of its content of mannitol and the glucose polymer laminarin. Our host, Corynebacterium glutamicum, was engineered to enable access to mannitol as a carbon source through the heterologous expression of the mannitol-specific phosphotransferase system and the mannitol-1-phosphate-5-dehydrogenase from Bacillus subtilis. Overproduction of riboflavin was coupled with mannitol and glucose consumption via constitutive overexpression of the biosynthetic riboflavin operon ribGCAH from C. glutamicum. Brown seaweed extract and brown seaweed hydrolysate from Laminaria hyperborea, containing mannitol and glucose, were used as a carbon source for flask and bioreactor fermentations. In a seaweed-based fed-batch fermentation, the riboflavin final titer, yield, and volumetric productivity values of 1,291.2 mg L−1, 66.1 mg g−1, and 17.2 mg L−1 h−1, respectively, were achieved.
Camptothecin Delivery via Tumor-Derived Exosome for Radiosensitization by Cell Cycle Regulation on Patient-Derived Xenograft Mice
Authors: Yang Yiling , Ren Shiqi , Huang Wenpeng , Dong Jiahan , Guo Jiancheng , Zhao Jie , Zhang Yonggao 
Published: April 2022

Purpose: While radiotherapy remains the leading clinical treatment for many tumors, its efficacy can be significantly hampered by the insensitivity of cells in the S phase of the cell cycle to such irradiation.Methods: Here, we designed a highly targeted drug delivery platform in which exosomes were loaded with the FDA-approved anti-tumor drug camptothecin (CPT) which is capable of regulating cell cycle. The utilized exosomes were isolated from patient tumors, enabling the personalized treatment of individuals to ensure better therapeutic outcomes.Results: This exosome-mediated delivery strategy was exhibited robust targeted to patient-derived tumor cells in vitro and in established patient-derived xenograft models. By delivering CPT to tumor cells, this nanoplatform was able to decrease cell cycle arrest in the S phase, increasing the frequency of cells in the G1 and G2/M phases such that they were more radiosensitive.Conclusion: This therapeutic approach was able to substantially enhance the sensitivity of patient-derived tumors to ionizing radiation, thereby improving the overall efficacy of radiotherapy without the need for a higher radiation dose.
Faster Growth Enhances Low Carbon Fuel and Chemical Production Through Gas Fermentation
Authors: de Lima Lorena Azevedo , Ingelman Henri , Brahmbhatt Kush , Reinmets Kristina , Barry Craig , Harris Audrey , Marcellin Esteban , Köpke Michael , Valgepea Kaspar 
Published: April 2022

Gas fermentation offers both fossil carbon-free sustainable production of fuels and chemicals and recycling of gaseous and solid waste using gas-fermenting microbes. Bioprocess development, systems-level analysis of biocatalyst metabolism, and engineering of cell factories are advancing the widespread deployment of the commercialised technology. Acetogens are particularly attractive biocatalysts but effects of the key physiological parameter–specific growth rate (μ)—on acetogen metabolism and the gas fermentation bioprocess have not been established yet. Here, we investigate the μ-dependent bioprocess performance of the model-acetogen Clostridium autoethanogenum in CO and syngas (CO + CO2+H2) grown chemostat cultures and assess systems-level metabolic responses using gas analysis, metabolomics, transcriptomics, and metabolic modelling. We were able to obtain steady-states up to μ ∼2.8 day−1 (∼0.12 h−1) and show that faster growth supports both higher yields and productivities for reduced by-products ethanol and 2,3-butanediol. Transcriptomics data revealed differential expression of 1,337 genes with increasing μ and suggest that C. autoethanogenum uses transcriptional regulation to a large extent for facilitating faster growth. Metabolic modelling showed significantly increased fluxes for faster growing cells that were, however, not accompanied by gene expression changes in key catabolic pathways for CO and H2 metabolism. Cells thus seem to maintain sufficient “baseline” gene expression to rapidly respond to CO and H2 availability without delays to kick-start metabolism. Our work advances understanding of transcriptional regulation in acetogens and shows that faster growth of the biocatalyst improves the gas fermentation bioprocess.
Spatial Variations of Commuting Behavior and Their Impact Factors in Shanghai Metropolitan Area
Authors: Li Kaiming , Yue Liying , Geng Huizhi , Li Kaishun 
Published: April 2022

Exploring the spatial variations and the impact of spatial and social factors on commuting behavior is vital to promote cities’ sustainable development and improve residents’ daily lives. Based on 2015 1% Population Sample Survey data in Shanghai, this study constructs an improved accessibility index to evaluate the jobs–housing spatial relationship and compares spatial variations and factors of commuting duration and commuting distance at the sub-district level by using spatial autocorrelation analysis, spatial lag model, and spatial error model. In terms of spatial variations, the median commuting distance and commuting duration are 6.32 km and 28.37 min, respectively. Both of them have significant spatial autocorrelation, and the latter is higher. The high–high agglomeration areas of commuting distance scatter between the outer ring road and the outer suburbs. The high–high agglomeration areas of commuting duration are mainly distributed between the middle and the outer ring roads. In terms of affecting factors, the impacts of social factors on the commuting level are more significant than spatial factors. Ignoring the former will overestimate the effects of the latter. Commuting distance is more significantly correlated with spatial factors, and job accessibility is the most critical factor, while commuting duration is more significantly associated with social factors, and education level is the essential factor. There is significant intra-urban heterogeneity and spatial autocorrelation of commuting distance and duration in the metropolis. Social factors are more influential than spatial factors on commuting behavior.
Novel β-Cyclodextrin-Based Heptavalent Glycyrrhetinic Acid Conjugates: Synthesis, Characterization, and Anti-Influenza Activity
Authors: Liang Shuobin , Ma Xinyuan , Li Man , Yi Yanliang , Gao Qianqian , Zhang Yongmin , Zhang Lihe , Zhou Demin , Xiao Sulong 
Published: April 2022

In our continuing efforts toward the design of novel pentacyclic triterpene derivatives as potential anti-influenza virus entry inhibitors, a series of homogeneous heptavalent glycyrrhetinic acid derivatives based on β-cyclodextrin scaffold were designed and synthesized by click chemistry. The structure was unambiguously characterized by NMR, IR, and MALDI-TOF-MS measurements. Seven conjugates showed sufficient inhibitory activity against influenza virus infection based on the cytopathic effect reduction assay with IC50 values in the micromolar range. The interactions of conjugate 37, the most potent compound (IC50 = 2.86 μM, CC50 &gt; 100 μM), with the influenza virus were investigated using the hemagglutination inhibition assay. Moreover, the surface plasmon resonance assay further confirmed that compound 37 bound to the influenza HA protein specifically with a dissociation constant of 5.15 × 10−7 M. Our results suggest the promising role of β-cyclodextrin as a scaffold for preparing a variety of multivalent compounds as influenza entry inhibitors.
Triethyl-Borates as Surfactants to Stabilize Semiconductor Nanoplatelets in Polar Solvents and to Tune Their Optical Properties
Authors: Deng Yalei , Chen Xufeng , Liang Jing , Wang Yuanyuan 
Published: April 2022

Stabilizing nanocrystals (NCs) with high fluorescence quantum efficiency in suitable solvents and tuning of their optical properties precisely are critical for designing and assembling optoelectrical devices. Here, we demonstrated that by replacing the original X-type ligand (R-COO-) with triethylborate (TEB), zinc-blend structure nanoplatelets (Zb-NPLs) turn from hydrophobic to hydrophilic and are quite stable in polar solvents. More importantly, a large shift of 253 meV is observed for the TEB-passivated NPLs, which can be attributed to the strain of the crystal lattice and the electron or hole delocalizing into the ligand shell. It is worth noting that unlike conventional inorganic ligands, such as metal chalcogenide complexes or halides that quench fluorescence, TEB-treated NPLs maintain 100% of their original brightness in polar solvents with a slight increase in full width at half maximum (FWHM, 32 nm). Furthermore, we explored the possibility of employing TEB as surface ligands for NPLs with different thicknesses and compositions. We believe the discovery of new surface chemistry using borate-related ligands can greatly expand the potential application areas of NPLs.
Self-Assembled Pt/MoCx/MWCNTs Nano Catalyst for Ethanol Electrooxidation of Fuel Cells
Authors: Cao Xiaochang , Qiu Zhongming , Chen Jianjun , Ai Tianyu 
Published: April 2022

Direct ethanol fuel cells (DEFCs) have attracted more and more attention because of their unique advantages such as low cost and low toxicity. However, sluggish C-C bond cleavage during the ethanol electrooxidation reaction (EOR) in acidic media results in a lower energy yield and gravely hinders the commercialization of DEFCs. Therefore, it is very necessary to develop an anode catalyst with high performance, high stability and low cost to solve this problem. In this paper, Pt/MoCx/MWCNTs nanocomposites with different mass ratios of PtMo were obtained through a molecular self-assembly technology. The structure and morphology of Pt/MoCx/MWCNTs nanocomposites were characterized by several techniques such as XRD, FESEM, XPS, etc. The electrochemical performance and stability of Pt/WCx/MWCNTs electrocatalysts toward EOR were investigated in acid electrolytes. The results show that PtMo exists in the form of alloy. The size of Pt/MoCx nanoparticles is very uniform with an average size of ∼24 nm. The Pt/MoC0.25/MWCNTs exhibits excellent electrocatalytic activities with an electrochemically active surface area of 37.1 m2 g−1, a peak current density of 610.4 mA mgPt−1 and a steady-state current density of 39.8 mA mgPt−1 after 7,200 s, suggesting that the Pt/MoC0.25/MWCNTs is a very promising candidate for application in EOR of DEFCs.
A Novel Nomogram Based on a Competing Risk Model Predicting Cardiovascular Death Risk in Patients With Chronic Kidney Disease
Authors: Li Ning , Zhang Jingjing , Xu Yumeng , Yu Manshu , Zhou Guowei , Zheng Yawei , Zhou Enchao , He Weiming , Sun Wei , Xu Lingdong , Zhang Lu 
Published: April 2022

ObjectiveChronic kidney disease (CKD) patients are more likely to die from cardiovascular disease (CVD) than develop renal failure. This study aimed to develop a new nomogram for predicting the risk of cardiovascular death in CKD patients.MethodsThis study enrolled 1656 CKD patients from NHANES 2003 to 2006 survey. Data sets from 2005 to 2006 survey population were used to build a nomogram for predicting the risk of cardiovascular death, and the nomogram was validated using data from 2003 to 2004 survey population. To identify the main determinants of cardiovascular death, we performed univariate analysis and backward-stepwise regression to select the key factors. The probability of cardiovascular death for each patient in 5, 7, and 9 years was calculated using a nomogram based on the predictors. To assess the nomogram’s performance, the area under receiver operating characteristic curve (AUC) and the calibration curve with 1,000 bootstraps resamples were utilized. The prediction model’s discrimination was examined using cumulative incidence function (CIF).ResultsAge, homocysteine, potassium levels, CKD stage, and anemia were included in the nomogram after screening risk factors using univariate analysis and backward-stepwise regression. Internal validation revealed that this nomogram possesses high discrimination and calibration (AUC values of 5–, 7–, and 9-years were 0.79, 0.81, and 0.81, respectively). External validation confirmed the same findings (AUC values of 5–, 7– and 9-years were 0.76, 0.73, and 0.73, respectively). According to CIF, the established nomogram effectively differentiates patients at a high risk of cardiovascular death from those at low risk.ConclusionThis work develops a novel nomogram that integrates age, homocysteine, potassium levels, CKD stage, and anemia and can be used to more easily predict cardiovascular death in CKD patients, highlighting its potential value in clinical application.
Mortality Risk Prediction Dynamics After Heart Failure Treatment Optimization: Repeat Risk Assessment Using Online Risk Calculators
Authors: Codina Pau , Zamora Elisabet , Levy Wayne C. , Revuelta-López Elena , Borrellas Andrea , Spitaleri Giosafat , Cediel Germán , Ruiz-Cueto María , Cañedo Elena , Santiago-Vacas Evelyn , Domingo Mar , Buchaca David , Subirana Isaac , Santesmases Javier , Espriella Rafael de la , Nuñez Julio , Lupón Josep , Bayes-Genis Antoni 
Published: April 2022

ObjectivesHeart failure (HF) management has significantly improved over the past two decades, leading to better survival. This study aimed to assess changes in predicted mortality risk after 12 months of management in a multidisciplinary HF clinic.Materials and MethodsOut of 1,032 consecutive HF outpatients admitted from March-2012 to November-2018, 357 completed the 12-months follow-up and had N-terminal pro-B-type natriuretic peptide (NTproBNP), high sensitivity troponin T (hs-TnT), and interleukin-1 receptor-like-1 (known as ST2) measurements available both at baseline and follow-up. Three contemporary risk scores were used: MAGGIC-HF, Seattle HF Model (SHFM), and the Barcelona Bio-HF (BCN Bio-HF) calculator, which incorporates the three above mentioned biomarkers. The predicted risk of all-cause death at 1 and 3 years was calculated at baseline and re-evaluated after 12 months.ResultsA significant decline in predicted 1-and 3-year mortality risk was observed at 12 months: MAGGIC ~16%, SHFM ~22% and BCN Bio-HF ~15%. In the HF with reduced ejection fraction (HFrEF) subgroup guideline-directed medical therapy led to a complete normalization of left ventricular ejection fraction (≥50%) in almost a third of the patients and to a partial normalization (41–49%) in 30% of them. Repeated risk assessment after 12 months with SHFM and BCN Bio-HF provided adequate discrimination for all-cause 3-year mortality (C-Index: MAGGIC-HF 0.762, SHFM 0.781 and BCN Bio-HF 0.791).ConclusionMortality risk declines in patients with HF managed for 12 months in a multidisciplinary HF clinic. Repeating the mortality risk assessment after optimizing the HF treatment is recommended, particularly in the HFrEF subgroup.
Effect of Prognostic Guided Management of Patients With Acute Pulmonary Embolism According to the European Society of Cardiology Risk Stratification Model
Authors: Jiménez David , Rodríguez Carmen , Pintado Beatriz , Pérez Andrea , Jara-Palomares Luis , López-Reyes Raquel , Ruiz-Artacho Pedro , García-Ortega Alberto , Bikdeli Behnood , Lobo José Luis ,   the IPEP investigators
Published: April 2022

BackgroundA recent trial showed that management driven by prognostic assessment was effective in reducing the length of stay (LOS) for acute stable pulmonary embolism (PE). The efficacy and safety of this strategy in each subgroup of risk stratification remains unknown.MethodsWe conducted a post-hoc analysis of the randomized IPEP study to evaluate the effect of a management strategy guided by early use of a prognostic pathway in the low- and intermediate-high risk subgroups defined by the European Society of Cardiology (ESC) model. These subgroups were retrospectively identified in the control arm. The primary outcome was LOS. The secondary outcomes were 30-day clinical outcomes.ResultsOf 249 patients assigned to the intervention group, 60 (24%) were classified as low-, and 30 (12%) as intermediate-high risk. Among 249 patients assigned to the control group, 66 (27%) were low-, and 13 (5%) intermediate-high risk. In the low-risk group, the mean LOS was 2.1 (±0.9) days in the intervention group and 5.3 (±2.9) days in the control group (P &lt; 0.001). In this group, no significant differences were observed in 30-day readmissions (0% vs. 3.0%, respectively), all-cause (0% vs. 0%) and PE-related mortality rates (0% vs. 0%), or severe adverse events (0% vs. 1.5%). In the intermediate-high risk group, the mean LOS was 5.3 (±1.8) days in the intervention group and 6.5 (±2.5) days in the control group (P = 0.08). In this group, no significant differences were observed in 30-day readmissions (3.3% vs. 3.0%, respectively), all-cause (6.7% vs. 7.7%) and PE-related mortality rates (6.7% vs. 7.7%), or severe adverse events (16.7% vs. 15.4%).ConclusionThe use of a prognostic assessment and management pathway was effective in reducing the LOS for acute PE without comprising safety across subgroups of risk stratification.Clinical Trial Registration[ClinicalTrials.gov], Identifier [NCT02733198].