bluuebunny/crossref_metadata_2025_split huggingface dataset:
Enhancing Quality of DASH Video with LSTM Throughput Prediction
Authors: Biernacki Arkadiusz 
Published: April 2022

Abstract
The quality of streaming video depends on accurate estimation of network throughput, which is challenging in mobile networks due to a highly volatile environment. We used data traces obtained from measurements in 4G and 5G mobile networks, supplied them to an LSTM network and received a prediction of throughput for the next four seconds. Next, we took three dynamic adaptive streaming over HTTP (DASH) algorithms and replaced their default throughput estimation based on moving averages with the LSTM prediction. As the experiment shows, the traffic prediction improved the effectiveness of network capacity utilisation and stability of video playback between 5% and 25% compared to the default estimation. Our approach relies only on past throughput measurements, does not require any modifications to network infrastructure or protocols and is implementable in any DASH player.
Risk factors, prognostic predictors, and nomograms for liver metastasis in patients with pancreatic cancer: a population-based study.
Authors: Cao Biyang , Kang Yixin , Wu Chenchen , Zhang Letian , Jing Wang 
Published: April 2022

Abstract
Background
Liver metastasis (LM) is a significant risk predictor for poor outcomes among pancreatic cancer patients. This study aimed to investigate the risk and prognostic factors of pancreatic cancer with liver metastases (PCLM) and establish diagnostic and prognostic nomograms for these entities.
Methods
Between 2010 and 2015, data on individuals with primary diagnosed PC were retrieved from the Surveillance, Epidemiology, and End Results (SEER) database. To identify independent risk factors for PCLM, univariate and multivariate logistic regression analyses were used. Prognostic factors were identified using LASSO regression and multivariate Cox regression analyses. Furthermore, two nomograms for predicting the risk and prognosis of PCLM were developed. The performance of the nomogram models was evaluated using receiver operating characteristic (ROC) curves, calibration plots, decision curve analysis (DCA), and risk subgroup classification. To compare survival results between groupings, Kaplan-Meier curves were constructed.
Results
A total of 33459 PC patients were included in the study, with 11458 patients (34.2%) having LM at the time of diagnosis. Younger than 70 years of age, primary site in the body or tail, lymph node metastasis, neuroendocrine carcinoma, larger tumor size, and higher grade are identified as independent risk factors for LM in patients with PC. The independent factors associated with poor prognosis for PCLM patients include older than 70 years, adenocarcinoma, poor or anaplastic differentiation, lung metastases, and not receiving surgery or chemotherapy. Based on their observed analysis results of ROC, calibration, DCA, and Kaplan-Meier survival curves, two nomograms can accurately predict the occurrence and prognosis of PCLM patients.
Conclusion
We developed two nomograms for predicting the risk of LM among PC patients as well as the personalized prognosis for PCLM patients that may aid clinical decision-making.
Triangle of Pascal - Quantum Mechanics
Authors: Gianella Renato 
Published: April 2022

Abstract
This paper presents an innovative study on the sample spaces of the Cn,p experiments of Pascal’s Triangle. Currently, the only existing knowledge about these sample spaces is the formula Cn,p = n!/(n-p)!p!, which provides only the number of possible combinations obtained in these experiments. Here we present evidence of the possibility of the organization of sample spaces in these experiments. These sample spaces are organized based on their behavioral patterns, and this organization represents a mathematical model that allows us to analyze how numbers move. First, based on the theoretical development of combinatorics and probability theory, we cover simple combinations, combinations with repetition, and the Pascal’s Triangle to demonstrate how to organize the sample spaces of lotteries geometrically and according to their behavioral patterns. Then, we conduct a case study involving 6–48, which is a lottery game with 48 possible numbers among which the player chooses six; in the context of this study this lottery is a Pascal’s Triangle experiment. Based on a simple, intuitive system of color distribution, we show that expected theoretical results are in fact materialized through a historical analysis of Super Sena, a Brazilian 6–48 lottery-type discontinued in October 2001 after having produced 963 draws. Thus, the model formulates the movements of numbers randomly generated, which constitutes the platform to assess quantum information.
Association of energy adjusts Nutrient-rich foods (ENRF) on mental health among obese and overweight women: a cross-sectional study
Authors: Salehi Zahra , Shiraseb Farideh , Rasaei Niloufar , Mirzaei Khadijeh 
Published: April 2022

Abstract
Purpose: Mental health and obesity have a bilateral relationship with each other. No study has been done on the relation between mental health and the ENRF9.3 index so far. Therefore, for the first time, we examined the relationship between the ENRF9.3 index and mental health in women with overweight and obesity.Methods: In this cross-sectional study, 124 overweight and obese women were selected. Food intakes in the last 1 year were collected with 147 items of semi-quantitative food frequency. Then, the ENRF9.3 index score was calculated for all individuals. Mental health was assessed with a 21-item Depression Anxiety Stress Scales (DASS) questionnaire.Results: In the present study, before adjusting for potential confounders the total DASS score was marginal significance (P=0.05), that after the adjustment, it became insignificant (P> 0.05), after adjusting for confounders stress also became significant (P=0.04). But no significant relationship was observed between depression and anxiety, even after adjustment (P> 0.05).Conclusion: The present study showed that a nutritious diet is not associated with overall mental health score, among subgroups of the DASS total score, the relationship was seen only for the stress subgroup.Level of evidence I: Evidence obtained from experimental studies
The lifting force of an airplane wing when flying horizontally at high speeds. Explanation of the vortex trail.
Authors: Braginsky Alexander 
Published: April 2022

Abstract
In this paper, an explanation is given of the lift force of an airplane during horizontal flight. It is shown that during a flight, five vertical forces act on the airplane: gravity; pressure gradient with a minus sign; Archimedes force; potential force and the vortex force obtained from the action minimum. The first three forces were known before. The potential force was also known from the Bernoulli equation, but its effect on the airfoil from the air had not previously been taken into account. The vortex force obtained from the minimum action in the application to a continuous medium was not taken into account in aerodynamics. In horizontal flight the vortex force is directed upwards, it compensates for the gravity of the airplane at high speed commensurate with the speed of sound. The paper provides an explanation of the vortex trail behind the airplane, mentioned in the Millennium problem Navier-Stokes equation.
Discovery of zerumbone as a new agent for cardiac hypertrophy by high-throughput screening using human embryonic stem cell-derived cardiomyocytes
Authors: Huang Jie , Chen Haiyan , Lan Shujue , Qin Le , Xun Zixuan , Han Shuai , Zhao Hongwei , Ci Yunqing , Xu Chen , Zhu Wenjia , Lu Xinya , Chen Jiaxin , zheng Qiuyi , Li Ermin , Chen Xinyun , Lu Chao , Qian Ruizhe , Chen Sifeng , Li Xiaobo , Sun Ning 
Published: April 2022

Abstract
Background: Pathological cardiac hypertrophy is considered an adaptive response of the heart due to cardiovascular diseases such as hypertension, aortic and valvular stenosis, and inherited cardiomyopathy caused by mutations in sarcomeric proteins. It is a risk factor of various forms of cardiovascular diseases and closely associated with heart failure. Current medications for cardiac hypertrophy are limited and often only target the symptoms without a radical effect. There is a strong demand for developing new drugs to improve the overall treatment. Methods: We firstly established a hypertrophy model of human embryonic stem cell (hESC)-derived cardiomyocytes by norepinephrine treatment. Using high-throughput drug screening a library of small-molecule natural products and high-content analyses of hESC-cardiomyocyte size, we identified zerumbone as an effective new agent alleviating concentric cardiac hypertrophy. The downstream molecular pathway induced by zerumbone was identified by RNA-seq analyses of zerumbone treated hESC-cardiomyocytes and confirmed by biochemical studies.Results: We found that zerumbone not only inhibited norepinephrine-induced hypertrophy of hESC-derived human cardiomyocytes in vitro, but also alleviated cardiac hypertrophy in spontaneous hypertensive rats and Mybpc3-G790A hypertrophic cardiomyopathy mice in vivo. This inhibition of cardiac hypertrophy by zerumbone was not dependent on lowering blood pressure. We further found that zerumbone markedly activated the NRF2/HO-1 related signaling pathway which showed a cardioprotective effect on cardiac hypertrophy. Zerumbone directly bound to and induced high molecular weight KEAP1, which impeded the interaction of CUL3 with KEAP1, leading to the inhibition of NRF2 ubiquitination and NRF2 accumulation and translocation into the nucleus. Inhibition of HO-1 expression blocked the effect of zerumbone in attenuating cardiomyocyte hypertrophy. Conclusion: Our data indicate that zerumbone is an effective small molecule alleviating pathological cardiac hypertrophy. It could be used in combination with current antihypertensive drugs for hypertension patients with cardiac hypertrophy and may also be used for patients of inherited hypertrophic cardiomyopathy.
Development of a qPCR assay for the detection of naturalized wastewater E. coli strains
Authors: Zhi Shuai , Banting Graham , Neumann Norman F. 
Published: April 2022

Abstract
We recently demonstrated the presence of naturalized populations of Escherichia coli in municipal sewage. We wanted to develop a quantitative polymerase chain reaction (qPCR) assay targeting the uspC-IS30-flhDC marker of naturalized wastewater E. coli and assess the prevalence of these naturalized strains in wastewater. The limit of detection for the qPCR assay was 3.0 × 10−8 ng of plasmid DNA template with 100% specificity. This strain was detected throughout the wastewater treatment process, including treated effluents. We evaluated the potential of this marker for detecting municipal sewage/wastewater contamination in water by comparing it to other human and animal markers of fecal pollution. Strong correlations were observed between the uspC-IS30-flhDC marker and the human fecal markers Bacteroides HF183 and HumM2, but not animal fecal markers, in surface and stormwater samples. The uspC-IS30-flhDC marker appears to be a potential E. coli-based marker for human wastewater contamination.
Experimental study of the growth period of wall-attached bubbles
Authors: Lin Lu , Li Ran , Feng Jingjie , Cheng Xiaolong , Yuan Youquan , Wang Zhenhua 
Published: April 2022

Abstract
Due to dam discharge, waterfalls, sudden increases in water temperature and oxygen production by photosynthesis, the total dissolved gas (TDG) in water is often supersaturated, which may have serious effects on aquatic ecology. Wall-attached bubbles formed during the TDG release process and the generation and departure of wall-attached bubbles influenced the release of TDG from water. Therefore, an experiment was performed to simulate the growth of wall-attached bubbles at various water flow velocities, a quantitative relationship between the wall-attached bubble growth period and flow velocity was obtained. Another quantitative relationship, between the wall-attached bubble departure diameter and turbulent kinetic energy of flowing water, was also determined. The analysis results of the TDG release rate proved that the adsorption of TDG on solid walls was considerably affected by flow velocity. The analysis models the TDG release mechanism through complex experiments and provides a method to better identify sites for supersaturated TDG adsorption. This study serves as an important theoretical basis for revealing the mechanism by which solid surfaces promote the release process of supersaturated TDG in natural water.
Hybrid CNN-LSTM models for river flow prediction
Authors: Li Xia , Xu Wei , Ren Minglei , Jiang Yanan , Fu Guangtao 
Published: April 2022

Abstract
River flow prediction is a challenging problem due to highly nonlinear hydrological processes and high spatio-temporal variability. Here we present a hybrid network of convolutional neural network (CNN) and long short-term memory (LSTM) network for river flow prediction. The hybridization enables accurate identification of the spatial and temporal features in precipitation. A shortcut layer is used as an additional channel of passing input features through the deep network to increase feature diversity. The flows in Hun River Basin, China are predicted using the trained hybrid network and are compared with the results from the Soil and Water Assessment Tool (SWAT) model. The results demonstrate the learning efficiency of the hybrid network is greatly affected by its structure and parameters, including the number of convolutional layers and LSTM cell layers, the step size of pooling and training data size. Further, the shortcut layer can effectively solve the diversity reduction problem in a deep network. The hybrid network is shown to have a similar predictive performance to SWAT but is superior in wet seasons due to its nonlinear learning ability. This study shows that the hybrid network has great promise in learning nonlinear and high spatio-temporal variability in river flow forecasting.
Public policy: urban stormwater in a paradigm shift, is it the end or just the beginning?
Authors: Novaes Carlos , Marques Rui 
Published: April 2022

Abstract
The perception that urban stormwater policies are non-existent, incomplete, or lacking in aspects that concern the environment and quality of life in cities has become increasingly common. This is partly due to the increased frequency and magnitude of rainfall events resulting from climate change and its economic, social, and environmental consequences. Population concentration and changes in patterns of living, construction, and urbanization contribute to the pollution of water runoff and receiving waters. Thus, quantity and quality problems add up and often require costly solutions, which are then addressed as economic issues. To deal with all these aspects, many of which were previously absent, stormwater public policies require a paradigm shift to break away from institutional inertia and dependence on the previous path. Without the aim of exhausting the subject, this paper discusses the policy aspects that concern stormwater management and the current and desired paradigm shift.
WATERMELON PEEL EXTRACT AS GREEN CORROSION INHIBITOR FOR ST-37 CARBON STEEL IN SEAWATER
Authors: Priharti Sri Teguh , Nizar Umar Kalmar , Sundari Rita , Etika Sri Benti , Oktavia Budhi , Putra Ananda , Anggraini Rini 
Published: April 2022

Corrosion engineering has taken great interest in many industries that required high cost management to overcome the serious problems. This work has investigated the role of watermelon peel extract as green inhibitor to protect carbon steel in seawater. This investigation has studied the corrosion rate and inhibition efficiency applying weight loss method. The laboratory result shows the optimum inhibition efficiency found to be 71.64% at 5% inhibitor concentration in 100 ml seawater at room temperature. The effects of temperature and immersion time on inhibition efficiency have also been examined. This study has used Arrhenius equation based on activation energy to determine type of adsorption encountered with corrosion process. The result shows a chemical adsorption justified by its high adsorption heat and strengthened by FTIR and UV-Vis examinations. The phytochemical examination of watermelon peel extract gives positive response to flavonoid, alkaloid, and saponin. The finding is useful for many industries encountered with carbon steel corrosion in corrosive medium using green inhibitor.
ANALYSIS OF PURCHASE DECISION MODEL TOWARDS AIRLINES TICKET BOOKING IN TRAVELOKA (MERCU BUANA UNIVERCITY CASE STUDY)
Authors: Pringgodigdoyo Prapatantio Teteg , Nurmahdi Adi 
Published: April 2022

Traveloka is an airline ticket purchase application that has the most visitors in Southeast Asia, but starting in the first quarter of 2019 they experienced a decline in the number of visitors. The decline in the number of visitors was the most contributed by application users from Indonesia. The decline in the number of visitors is a phenomenon that needs attention because it can potentially affect ticket sales through the application. there are several factors that influence the pattern of ticket purchases through online applications, including internet knowledge, service quality, prices, trust, understanding of risk, and user perceptions. The objectives in this study is to determine the effect of price, service quality, brand image on purchase decisions on the Traveloka application. The samples of this study are a 100 post graduate students of Mercu Buana University. The results of this study show that price does not have a positive and significant effect on brand image on the Traveloka application. Price, service quality and brand image have a positive and significant influence on purchase decisions on the Traveloka application. Traveloka companies are advised to increase their responsiveness in providing quality services so that they will be able to create a better brand image. Keywords: price, service quality, brand image, purchase decision, traveloka
Prioritizing IT Management Issues and Business Performance
Authors: Klaus J. Philipp , Kim Kevin , Masli Adi , Guerra Katia , Kappelman Leon 
Published: April 2022

ABSTRACT
We use a novel dataset extracted from the Society of Information Management's (SIM) survey of chief information officers (CIOs) and top information technology (IT) executives to examine organizations' most critical IT management issues during 2014–2017 and their effect on firm profitability. According to the SIM surveys, the top two IT issues management prioritizes are security/cybersecurity/privacy and IT alignment with the business. We find that firms that prioritize these two IT management issues exhibit higher profitability than firms that do not. Our study contributes to the Information Systems (IS) and Accounting Information Systems (AIS) literature on IT business value by providing empirical evidence on IT-business alignment—and to some extent IT security—positively affecting firm financial performance.
Usability Testing pada Sistem Informasi Manajemen AKN Pacitan Menggunakan Metode System Usability Scale
Authors: Nugroho Kurnianto Tri , Julianto Bagus , Nur MS Danny Febryan 
Published: April 2022

Penerapan smart campus pada Akademi Komuntias Negeri (AKN) Pacitan, salah satunya bertujuan untuk meningkatkan pelayanan publik. Sistem informasi manajemen merupakan bagian dari smart campus yang ada pada AKN Pacitan. Untuk mengetahui kualitas layanan dari pandangan pengguna sistem informasi ini, maka dibuatlah suatu pengujian usability. Usability merupakan analisis kualitatif dalam menentukan kualitas suatu sistem informasi berdasarkan kemudahan user dalam menggunakan sistem informasi. Tujuan dari penelitian ini adalah untuk menganalisis tingkat usability pada sistem informasi manajemen AKN Pacitan. Sejauh ini terdapat beberapa metode dalam evaluasi salah satunya adalah metode System Usability Scale (SUS). Populasi penelitian ini adalah dosen, staff dan mahasiswa AKN Pacitan, menggunakan probability sampling sebagai teknik pengambilan data. Data penelitian ini diambil dengan menggunakan kuisioner dan dianalisis menggunakan metode analisis deskriptif. Berdasarkan hasil pengujian usability, mayoritas responden menggunakan dan memanfaatkan sistem informasi ini dengan baik. Hal ini dibuktikan dengan total hasil nilai pengujian sebesar 71,48. Dari segi acceptability range sistem informasi ini masuk ke kategori acceptable, sedangkan pada grade scale berada pada posisi grade C dan pada adjective rating berada pada posisi good. Dapat disimpulkan bahwa sistem informasi ini dapat dijadikan alat bantu perkuliahan khususnya untuk memasukan jurnal kuliah, presensi dan nilai.
Investigation of the urine cortisol to creatinine ratio for the diagnosis of hypoadrenocorticism in dogs
Authors: Moya Melissa V. , Refsal Kent R. , Langlois Daniel K. 
Published: April 2022

Abstract

OBJECTIVE
To evaluate the urine cortisol-to-creatinine ratio (UCCR) for the diagnosis of hypoadrenocorticism (HA) in dogs and to determine whether the method of urine cortisol measurement affects results.

ANIMALS
41 dogs with naturally occurring HA and 107 dogs with nonadrenal illness.

PROCEDURES
Urine samples were prospectively collected from dogs undergoing testing for HA. Urine cortisol concentrations were measured at a veterinary diagnostic laboratory using either a radioimmunoassay (RIA) or a chemiluminescent immunoassay (CLIA). Receiver operating characteristic (ROC) curves were constructed to assess UCCR performance by both methods for HA diagnosis. Sensitivities, specificities, accuracies, and predictive values were calculated for various cutpoints.

RESULTS
The areas under the ROC curves for UCCR diagnosis of HA were 0.99 (95% CI, 0.98 to 1.00) and 1.00 (95% CI, 1.00 to 1.00) when urine cortisol was determined by RIA and CLIA, respectively. An RIA UCCR of ≤ 2 was 97.2% sensitive, 93.6% specific, and 94.7% accurate for HA diagnosis, whereas a CLIA UCCR of ≤ 10 was 100% sensitive, specific, and accurate. An RIA UCCR > 4 and a CLIA UCCR of > 10 had negative predictive values of 100%.

CLINICAL RELEVANCE
The UCCR was an accurate diagnostic test for HA in this study population, although equivocal results are possible. Case characteristics, method of cortisol measurement, and laboratory-specific cutpoints must be considered when interpreting results.
The effectiveness of dexamethasone as a combination therapy for COVID-19
Authors: Namazi Nader 
Published: April 2022

Abstract
Coronavirus disease 2019 (COVID-19) was reported as a global pandemic in March 2020 after invading many countries and leaving behind tens of thousands of infected patients in a brief time span. Approval of a few vaccines has been obtained and their efficacy of varying degrees established. Still, there is no effective pharmaceutical agent for the treatment of COVID-19 though several drugs are undergoing clinical trials. Recent studies have shown that dexamethasone, a corticosteroid, can reduce the rate of COVID-19-related mortality in the intensive care unit by 35 % for patients who are on mechanical ventilation. Although variable efficacy of other combination therapies has been reported for treating COVID-19 associated with acute respiratory distress syndrome (ARDS), dexamethasone is an extensively used drug in many treatment regimens against COVID-19. The current review aims to explore the role of dexamethasone as an efficient combination treatment for COVID-19.