bluuebunny/crossref_metadata_2025_split huggingface dataset:
Fully Convolutional Architecture for Low-Dose CT Image Noise Reduction
Authors: Badretale Seyyedomid , Shaker F. , Babyn Paul , Alirezaie Javad 
Published: October 2022

<p>One of the critical topics in medical low-dose Computed Tomography (CT) imaging is how best to maintain image quality. As the quality of images decreases with lowering the Xray radiation dose, improving image quality is extremely important and challenging. We have proposed a novel approach to denoise low-dose CT images. Our algorithm learns directly from an end-to-end mapping from the low-dose Computed Tomography images for denoising the normal-dose CT images. Our method is based on a deep convolutional neural network with rectified linear units. By learning various low-level to high-level features from a low-dose image the proposed algorithm is capable of creating a high-quality denoised image. We demonstrate the superiority of our technique by comparing the results with two other state-ofthe-art methods in terms of the peak signal to noise ratio, root mean square error, and a structural similarity index. </p>
ANALISIS MODEL TARIKAN PERGERAKAN KENDARAAN MENUJU KAWASAN EKONOMI KHUSUS (KEK) WISATA TANJUNG GUNUNG KABUPATEN BANGKA
Authors: Gunawan Indra , Sandy Boy Dian Anugra 
Published: October 2022

Di masa New Normal Pandemi Covid-19 kegiatan di sektor ekonomi, sosial, dan budaya mulai beraktifitas kembali. Begitu juga dengan kegiatan di sektor pariwisata yang mulai aktif kembali, didukung dengan Moda transportasi darat, laut, dan udara juga mulai giat kembali. Hal ini sesuai dengan keinginan Presiden untuk melakukan percepatan pemulihan ekonomi di masa pandemi Covid-19. Upaya ini juga merupakan salah satu komitmen Pemerintah Provinsi Kepulauan Bangka Belitung untuk fokus mengembangkan sektor pariwisata. Terdapat beberapa Kawasan Ekonomi Khusus Wisata di Provinsi Kepulauan Bangka Belitung, salah satunya ialah Wisata Tanjung Gunung. Tujuan dari penelitian ini adalah membuat suatu model yang digunakan untuk menghitung besar tarikan pergerakan kendaraan dan untuk mengidentifikasi dan menganalisis faktor-faktor yang mempengaruhi untuk mendapatkan model tarikan pergerakan kendaraan dan pengunjung di kawasan wisata Tanjung Gunung Kabupaten Bangka Tengah. Di area tersebut terdapat 3 detinasi wisata yang dapat dituju yakni Pantai Pan Semujur, Bukit Angsa Emas, dan Pantai Tapak Antu. Data yang diperoleh dengan melakukan uji korelasi dan kemudian dilakukan analisis regresi untuk mendapatkan model equations. Variabel bebas yang ditinjau antara lain: total luas Musholla (X1), total luas WC (X2), total luas Pondokan (X3), total luas Tempat Makan (X4), dan total luas Area Parkir (X5). Dari analisis regresi, ditemukan model yang baik untuk menarik gerakan adalah: Y = -37,423 + 0,7203X4 dengan koefisien determinasi (R2) = 0,99, Model tersebut menjelaskan bahwa variabel bebas yang mempengaruhi besar tarikan pergerakan kendaraan menuju kawasan wisata Tanjung Gunung adalah total luas tempat makan (X4).
ANALISIS KETERSEDIAAN AIR DAN KEANDALAN KULONG PL KECAMATAN PANGKALAN BARU MENGGUNAKAN MODEL SARIMA DAN SOR
Authors: Pririzki Sisillia Jesika , Adriyansyah Adriyansyah , Stevanus Hendy , Lusia Rohil Agatha 
Published: October 2022

Desa Air Mesu dan Desa Jeruk merupakan dua desa yang terletak di Kecamatan Pangkalan Baru, Kabupaten Bangka Tengah, Provinsi Kepulauan Bangka Belitung. Jumlah penduduk di desa tersebut meningkat setiap tahunnya sehingga menimbulkan permasalahan yaitu bertambahnya kebutuhan air bersih di desa tersebut. Solusi dari permasalahan tersebut adalah memanfaatkan air Kulong PL sebagai sumber air baku untuk memenuhi kebutuhan air bersih di Desa Air Mesu dan Desa Jeruk. Untuk memastikan ketersediaan air Kulong PL mampu mencukupi kebutuhan air bersih di Desa Air Mesu dan Desa Jeruk maka akan dilakukan prediksi (forecasting) selama 10 tahun kedepan yaitu tahun 2021 sampai tahun 2030. Dari hasil analisis didapatkan model terbaik untuk memprediksi debit bangkitan yaitu SARIMA (0,0,0)(1,1,0)12 . Berdasarkan analisis SOR, pilihan terbaik dalam pemanfaatan Kulong PL difokuskan dalam satu desa saja. Jika penggunaan Kulong PL menginginkan keandalan 100% maka penggunaan air yang diperbolehkan yaitu sebesar 3,06 l/det. Sedangkan untuk Desa Jeruk, Kulong PL mampu menyuplai 100% kebutuhan dengan tingkat keandalan 99%.
ANALISIS STABILITAS DINDING PENAHAN TANAH TERHADAP DRAWDOWN PADA LERENG SUNGAI AREA DAM BADENG KECAMATAN SONGGON, BANYUWANGI.
Authors: Nurshinta Holis , Putra Paksitya Purnama , Nurtjahjaningtyas Indra 
Published: October 2022

Sungai Badeng yang berlokasi di Kecamatan Songgon Kabupaten Banyuwangi mempunyai debit yang sering meluap sehingga menyebabkan rusaknya dinding penahan tanah dan terkikisnya lereng tepi sungai area Dam Badeng. Hal ini menjadi permasalahan bagi warga sekitar karena pemanfaatan air menjadi kurang maksimal dan dapat meningkatan resiko terjadinya banjir didaerah hilir sungai. Untuk mencegah agar tidak terjadi kelongsoran pada tepi sungai, maka dilakukan analisis stabilitas lereng dengan menggunakan dinding penahan tanah tipe gravitasi yang dapat menahan gaya guling, gaya geser, dan aman terhadap daya dukung serta memperhatikan drawdown. Analisis drawdown dimodelkan selama 20 jam pada kondisi awal muka air sungai surut menuju banjir lalu kembali pada kondisi semula. Pemodelan dilakukan dengan program bantu Geoslope studio.
Hasil analisis stabilitas gravity wall terhadap drawdown dinyatakan aman. Saat muka air sungai semakin tinggi, maka nilai safety factor lereng akan bertambah. Dan saat muka air sungai semakin turun, maka nilai safety factor lereng akan berkurang. Hal ini terjadi karena dipengaruhi oleh naik dan turunnya nilai tekanan pasif yang diberikan air terhadap lereng. Kondisi safety factor paling kritis terjadi saat kondisi surut karena masih adanya residu air sungai yang masuk kedalam pori-pori tanah. Analisis stabilitas terhadap gaya guling, gaya geser, dan aman terhadap daya dukung juga dinyatakan aman.
Effect of process mode, nitrogen source and temperature on L-malic acid production with Aspergillus oryzae DSM 1863 using acetate as carbon source
Authors: Kövilein Aline , Zadravec Lena , Hohmann Silja , Umpfenbach Julia , Ochsenreither Katrin 
Published: October 2022

Malic acid, mainly used as acidulant and taste enhancer in the food industry, is currently produced from fossil resources. In this study, microbial L-malate production with the filamentous fungus A. oryzae using the carbon source acetate was evaluated. Acetate is for example contained in biomass-derived substrates such as lignocellulosic hydrolysates and condensates of fast pyrolysis, thus avoiding competition with food production. Since research on malic acid synthesis from acetate is limited and reported productivities and yields are low, this work aimed to improve the process. First, different cultivation temperatures were tested. This parameter was found to affect the ratio between malic and succinic acid, which is the major by-product of organic acid production with A. oryzae. At 32°C, the malate share was highest (53.7 ± 1.6%), while it was lowest at 38°C (43.3 ± 1.1%) whereas succinate represented the main product (51.5 ± 1.0%). Besides the temperature, the type of nitrogen source was also found to affect malate synthesis as well as biomass production. In the pre-culture, the biomass concentration was increased by a factor of 3.4–3.9, and germination started earlier with the complex nitrogen sources yeast extract, casein hydrolysate and peptone compared to the defined nitrogen source (NH4)2SO4. Especially with yeast extract, malate synthesis in the main culture was accelerated and the titer obtained after 48 h was about 2.6 times higher than that quantified with (NH4)2SO4. To reduce substrate inhibition in acetate medium, fed-batch and repeated-batch processes were evaluated using (NH4)2SO4 or yeast extract as nitrogen source. In the fed-batch process, the period of malate production was extended, and the maximum product concentration was increased to 11.49 ± 1.84 g/L with (NH4)2SO4 and 12.08 ± 1.25 g/L with yeast extract. In the repeated-batch process, the total acid production was highest within the first 240 h of fermentation, but optimization is required to maintain high production rates in later cycles. The lessons learned in this study will help in the development of further process strategies to maximize malate production using acetate as alternative substrate to the commonly used glucose.
Neutrophil infiltration and myocarditis in patients with severe COVID-19: A post-mortem study
Authors: Zhang Quanyu , Zhang Huarong , Yan Xiaowei , Ma Sicong , Yao Xiaohong , Shi Yu , Ping Yifang , Cao Mianfu , Peng Chengfei , Wang Shuai , Luo Min , Yan Chenghui , Zhang Shuyang , Han Yaling , Bian Xiuwu 
Published: October 2022

AimsTo investigate cardiac pathology in critically ill patients with coronavirus disease 2019 (COVID-19) and identify associations between pathological changes and clinical characteristics.MethodsThe present autopsy cohort study included hearts from 26 deceased patients hospitalized in intensive care units due to COVID-19, and was conducted at four sites in Wuhan, China. Cases were divided into a neutrophil infiltration group and a no-neutrophil group based on the presence or absence of histopathologically identified neutrophilic infiltrates.ResultsAmong the 26 patients, histopathological examination identified active myocarditis in four patients. All patients with myocarditis exhibited extensive accompanying neutrophil infiltration, and all patients without myocarditis did not. The neutrophil infiltration group exhibited significantly higher rates of detection of interleukin-6 (100 vs. 4.6%) and tumor necrosis factor-alpha (100 vs. 31.8%) than the no-neutrophil group (both p &lt; 0.05). On admission, four patients with neutrophil infiltration in myocardium had significantly higher baseline levels of aspartate aminotransferase, D dimer, and high-sensitivity C reactive protein than the other 22 patients (all p &lt; 0.05). During hospitalization, patients with neutrophil infiltration had significantly higher maximum creatine kinase-MB (median 280.0 IU/L vs. 38.7 IU/L, p = 0.04) and higher troponin I (median 1.112 ng/ml vs. 0.220 ng/ml, p = 0.56) than patients without neutrophil infiltration.ConclusionActive myocarditis was frequently associated with neutrophil infiltration in the hearts of deceased patients with severe COVID-19. Patients with neutrophil-infiltrated myocarditis had a series of severely abnormal laboratory test results on admission, and high maximum creatine kinase-MB during hospitalization. The role of neutrophils in severe heart injury and systemic conditions in patients with COVID-19 should be emphasized.
Case report: Unusual persistent hypotension and acute occlusion after peripheral paclitaxel balloon angioplasty
Authors: Yang Lin , Liu Jianlin , Liu Chao 
Published: October 2022

BackgroundPaclitaxel-coated balloon (PCB) angioplasty is a mainstream treatment for peripheral artery disease; however, the safety of PCB remains controversial.Case presentationWe confirmed acute occlusion during PCB angioplasty in a patient with femoropopliteal artery occlusion. The occluded vessels were revascularized completely after endovascular medical therapy and bailout stenting angioplasty. Then, the patient experienced persistent post-procedure orthostatic hypotension (30 days) and received hydration and vasoactive agents with a target mean arterial blood pressure of 75–85 mmHg. The patient's blood pressure gradually recovered over the 30 days after the procedure, and there was no recurrence of symptomatic hypotension during the follow-up.ConclusionsThis rare complication is helpful to evaluate the safety of the PCB device.
Effect of flocculation on turbidity currents
Authors: Ali W. , Enthoven D. , Kirichek A. , Chassagne C. , Helmons R. 
Published: October 2022

Flocculation between inorganic sediment, salt ions and microscopic organic matter present in the marine environment might play an important role in the dynamics of turbidity currents. The ability to predict, understand, and potentially leverage the effect of flocculation on turbidity currents will help to minimize the impact of human interventions such as dredging, trenching, and deep-sea mining. To better characterize the effect of flocculation on the benthic turbidity currents generated by these activities, a series of laboratory experiments were performed. Turbidity currents were created by means of lock exchange experiments. The present work focuses on the flocculation of clays that are representative for abyssal regions where deep-sea mining is performed, but most of the conclusions of this work are generic and can be applied to other types of benthic flows, occuring in harbours and channels. The effect of salt and organic material as flocculant agent was investigated. Various concentrations of clay and organic flocculant were tested. Video analysis was used to determine the head velocity of the plume. Samples at different run-out lengths were collected at the end of the lock exchange experiments for particle size and settling velocity measurements. The velocities of the turbidity currents in fresh and saline water (when no organic matter was present) were found to be similar, which was expected considering the timescales of salt-induced flocculation (about 30 min or more compared to the duration of lock exchange experiment &lt;60 s). It was however demonstrated that, in presence of organic matter, flocculation occurred during the short time (30–60 s) of the experiment, leading to a reduced current propagation and a significant change in floc sizes (from 20 to 1,000 µm) and settling velocities (from 1 to 60 mm s−1). Salt ions contributed to flocculation in the sense that flocculation with organic matter was improved in the presence of salt.
Analysis of factors influencing the clinical outcome after surgery and 131I therapy in patients with moderate-risk thyroid papillary carcinoma
Authors: Li Yixuan , Rao Maohua , Zheng Chenxi , Huang Jiahui , Fang Danzhou , Xiong Yalan , Yuan Gengbiao 
Published: October 2022

PurposeGenerally, the prognosis for papillary thyroid cancer (PTC) is favorable. However, the moderate risk involved warrants further evaluation. Hence, we investigated the clinical outcomes in patients with moderate-risk PTC following surgery and the first 131I therapy, as well as the relevant factors that influence the therapeutic efficacy.MethodsRetrospective analyses of 175 patients with medium-risk PTC who visited the Second Affiliated Hospital of Chongqing Medical University from September 2017 to April 2019 were conducted. In according with the 2015 American Thyroid Association (ATA) guideline treatment response evaluation system, the patients were categorized into the following groups: excellent response (ER), indeterminate response (IDR), biochemical incomplete response (BIR), and structurally incomplete response (SIR), of which IDR, BIR, and SIR were collectively referred to as the NER group. To compare the general clinical features between the 2 groups of patients, 2 independent samples t-tests, χ2 test, and Mann–Whitney U-test were performed, followed by multivariate logistic regression analyses. With reference to the receiver operating characteristic (ROC) curve, the predicted value of ps-Tg to ER was evaluated, and the best cut-off value was determined. The subgroups with BRAFV600E test results were analyzed by χ2 test only.ResultsThe treatment responses of 123 patients were ER, while those of 52 patients were NER. The differences in the maximum tumor diameter (U = 2495.50), the amount of metastatic lymph nodes (U = 2313.50), the size of metastatic lymph node (U = 2113.50), the metastatic lymph node ratio (U = 2111.50), metastatic lymph node location (χ2 = 9.20), and ps-Tg level (U = 1011.00) were statistically significant. Multivariate regression analysis revealed that ps-Tg (OR = 1.209, 95% CI: 1.120–1.305) was an independent variable affecting ER. The cut-off value of ps-Tg for predicting ER was 6.915 ug/L, while its sensitivity and specificity were 69.2% and 89.4%, respectively.ConclusionsPatients with smaller tumor size, fewer lymph nodes, lower metastatic lymph node ratio, metastatic lymph nodes in the central region, smaller lymph node size, and ps-Tg &lt;6.915 ug/L demonstrated better therapeutic effects after the initial treatment.
Hypoxia-related tumor environment correlated with immune infiltration and therapeutic sensitivity in diffuse large B-cell lymphoma
Authors: Liu Chen , Liu Lin 
Published: October 2022

Background: Due to the high heterogeneity of diffuse large B-cell lymphoma (DLBCL), traditional chemotherapy treatment ultimately failed in one-third of the patients. Big challenges existed in finding how to accurately predict prognosis and provide individualized treatment. Hypoxia, although being a key factor in the development and progression of DLBCL, plays its role in DLBCL prognosis, which has yet to be fully explored.Methods: Data used in the current study were sourced from the Gene Expression Omnibus (GEO) database. DLBCL patients were divided according to different hypoxia-related subtypes based on the expressions of hypoxia-related genes (HRGs) relevant to survival. Differentially expressed genes (DEGs) between subtypes were identified using the limma package. Using univariate Cox regression and least absolute shrinkage and selection operator (LASSO) analyses, the prognostic signature was established to calculate risk scores. The tumor microenvironment (TME) in low- and high-risk groups was evaluated by single-sample gene set enrichment analysis (ssGSEA) and ESTIMATE. The chemotherapeutic sensitivity in two groups was assessed by IC50 values.Results: DLBCL patients were clustered into two hypoxia-related subtype groups according to different gene survival and expressions associated with increasing oxygen delivery and reducing oxygen consumption, and these two subtype groups were compared. Based on the differential expression, a risk model was established using univariate cox and LASSO regression analyses, FNDC1, ANTXR1, RARRES2, S100A9, and MT1M. The performance of the risk signature in predicting the prognosis of DLBCL patients was validated in the internal and external datasets, as evidenced by receiver operating characteristic (ROC) curves. In addition, we observed significant differences in the tumor microenvironment and chemotherapeutic response between low- and high-risk groups.Conclusion: Our study developed novel hypoxia-related subtypes in DLBCL and identified five prognostic signatures for DLBCL patients. These findings may enrich our understanding of the role of hypoxia in DLBCL and help improve the treatment of DLBCL patients.
Construction and validation of a glycolysis-related lncRNA signature for prognosis prediction in Stomach Adenocarcinoma
Authors: Liao Tianyou , Lu Yan , Li Wangji , Wang Kang , Zhang Yanxiang , Luo Zhentao , Ju Yongle , Ouyang Manzhao 
Published: October 2022

Background: Glycolysis is closely related to the occurrence and progression of gastric cancer (GC). Currently, there is no systematic study on using the glycolysis-related long non-coding RNA (lncRNA) as a model for predicting the survival time in patients with GC. Therefore, it was essential to develop a signature for predicting the survival based on glycolysis-related lncRNA in patients with GC.Materials and methods: LncRNA expression profiles, containing 375 stomach adenocarcinoma (STAD) samples, were obtained from The Cancer Genome Atlas (TCGA) database. The co-expression network of lncRNA and glycolysis-related genes was used to identify the glycolysis-related lncRNAs. The Kaplan-Meier survival analysis and univariate Cox regression analysis were used to detect the glycolysis-related lncRNA with prognostic significance. Then, Bayesian Lasso-logistic and multivariate Cox regression analyses were performed to screen the glycolysis-related lncRNA with independent prognostic significance and to develop the risk model. Patients were assigned into the low- and high-risk cohorts according to their risk scores. A nomogram model was constructed based on clinical information and risk scores. Gene Set Enrichment Analysis (GSEA) was performed to visualize the functional and pathway enrichment analyses of the glycolysis-related lncRNA. Finally, the robustness of the results obtained was verified in an internal validation data set.Results: Seven glycolysis-related lncRNAs (AL353804.1, AC010719.1, TNFRSF10A-AS1, AC005586.1, AL355574.1, AC009948.1, and AL161785.1) were obtained to construct a risk model for prognosis prediction in the STAD patients using Lasso regression and multivariate Cox regression analyses. The risk score was identified as an independent prognostic factor for the patients with STAD [HR = 1.315, 95% CI (1.056–1.130), p &lt; 0.001] via multivariate Cox regression analysis. Receiver operating characteristic (ROC) curves were drawn and the area under curve (AUC) values of 1-, 3-, and 5-year overall survival (OS) were calculated to be 0.691, 0.717, and 0.723 respectively. Similar results were obtained in the validation data set. In addition, seven glycolysis-related lncRNAs were significantly enriched in the classical tumor processes and pathways including cell adhesion, positive regulation of vascular endothelial growth factor, leukocyte transendothelial migration, and JAK_STAT signaling pathway.Conclusion: The prognostic prediction model constructed using seven glycolysis-related lncRNA could be used to predict the prognosis in patients with STAD, which might help clinicians in the clinical treatment for STAD.